--- EXPERIMENT NOTES
Not all of the following information may be relevant for the case being handled, since this project may be part of a much larger auto-PSS-genome project where several methods of detection of positively selected sites have been used. As such the aligned.score_ascii file may have more sequences than the file effectively used to detect positively selected codons, since the content of this file reflects the content of the file used for the master alignment, from which a subsample may have been taken.
#
### General parameters ###
#
# The maximum number of sequences to use for the master file
sequence_limit=90
# The random seed
random_seed=3976763
#
### Alignment ###
#
# The alignment method: clustalw, muscle, kalign, t_coffee, or amap
align_method=muscle
# Minimum support value for amino acid positions in the alignment
tcoffee_min_score=3
#
### MrBayes ###
#
# Number of iterations in MrBayes
mrbayes_generations=1000000
# MrBayes burnin
mrbayes_burnin=2500
#
### FUBAR ###
#
# The maximum number of sequences to be used by FUBAR.
fubar_sequence_limit=90
# The number of FUBAR runs
fubar_runs=1
#
### codeML ###
#
# The maximum number of sequences to be used by CodeML
codeml_sequence_limit=30
# The number of CodeML runs
codeml_runs=1
# The CodeML models to be run, one or more of: '1', '2', '7', and/or '8'.
codeml_models=1 2 7 8
#
### OmegaMap ###
#
# The maximum number of sequences to use in OmegaMap
omegamap_sequence_limit=90
# The number of OmegaMap runs
omegamap_runs=1
# The number of OmegaMap iterations
omegamap_iterations=2500
--- EXPERIMENT PROPERTIES
--- PSRF SUMMARY
Estimated marginal likelihoods for runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
(Use the harmonic mean for Bayes factor comparisons of models)
(Values are saved to the file /data/mrbayes_input.nex.lstat)
Run Arithmetic mean Harmonic mean
--------------------------------------
1 -10676.01 -10703.42
2 -10677.31 -10703.75
--------------------------------------
TOTAL -10676.46 -10703.60
--------------------------------------
Model parameter summaries over the runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
Summaries are based on a total of 3002 samples from 2 runs.
Each run produced 2001 samples of which 1501 samples were included.
Parameter summaries saved to file "/data/mrbayes_input.nex.pstat".
95% HPD Interval
--------------------
Parameter Mean Variance Lower Upper Median min ESS* avg ESS PSRF+
------------------------------------------------------------------------------------------------------
TL{all} 0.251391 0.000160 0.227165 0.275376 0.250965 1501.00 1501.00 1.000
r(A<->C){all} 0.100586 0.000177 0.074979 0.125901 0.100046 964.52 982.23 1.000
r(A<->G){all} 0.155914 0.000226 0.129011 0.187240 0.155032 823.30 871.83 1.000
r(A<->T){all} 0.070006 0.000059 0.055664 0.085667 0.069700 758.04 878.36 1.000
r(C<->G){all} 0.061114 0.000153 0.038804 0.086681 0.060751 814.97 930.89 1.000
r(C<->T){all} 0.554838 0.000475 0.510228 0.595691 0.553959 585.39 697.54 1.002
r(G<->T){all} 0.057542 0.000063 0.042568 0.073095 0.057181 941.35 998.23 1.000
pi(A){all} 0.281704 0.000046 0.267926 0.294071 0.281823 846.22 1002.47 1.000
pi(C){all} 0.161254 0.000028 0.150508 0.171203 0.161094 986.04 1030.32 1.001
pi(G){all} 0.194375 0.000035 0.182268 0.205338 0.194225 923.04 1052.56 1.001
pi(T){all} 0.362668 0.000053 0.348547 0.377005 0.362775 1033.54 1037.17 1.000
alpha{1,2} 0.303915 0.004324 0.185577 0.435781 0.296509 1094.17 1124.30 1.000
alpha{3} 2.728785 1.267012 0.973955 4.976124 2.517594 1155.41 1190.68 1.000
pinvar{all} 0.496602 0.002715 0.396250 0.596268 0.501074 673.12 771.37 1.001
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
--- CODEML SUMMARY
Model 1: NearlyNeutral -9977.797468
Model 2: PositiveSelection -9972.733190
Model 7: beta -9980.401559
Model 8: beta&w>1 -9970.563402
Model 2 vs 1 10.128556
Additional information for M1 vs M2:
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C251)
Pr(w>1) post mean +- SE for w
25 S 0.913 4.124
33 V 0.654 3.238
85 L 0.779 3.665
186 W 0.943 4.226
461 K 0.694 3.376
465 A 0.531 2.816
1292 G 0.534 2.827
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C251)
Pr(w>1) post mean +- SE for w
11 T 0.742 1.564 +- 0.509
23 T 0.518 1.301 +- 0.579
25 S 0.858 1.649 +- 0.483
29 V 0.573 1.403 +- 0.485
33 V 0.852 1.642 +- 0.483
84 L 0.692 1.513 +- 0.534
85 L 0.822 1.625 +- 0.493
145 T 0.554 1.354 +- 0.560
147 L 0.751 1.572 +- 0.508
148 G 0.726 1.541 +- 0.495
173 N 0.502 1.331 +- 0.458
175 N 0.787 1.594 +- 0.496
179 Q 0.706 1.533 +- 0.509
180 R 0.653 1.469 +- 0.559
181 V 0.775 1.588 +- 0.500
186 W 0.878 1.662 +- 0.476
287 K 0.515 1.298 +- 0.578
457 Q 0.616 1.447 +- 0.496
461 K 0.814 1.619 +- 0.495
465 A 0.791 1.601 +- 0.498
472 D 0.572 1.401 +- 0.463
491 V 0.672 1.501 +- 0.506
521 K 0.507 1.287 +- 0.579
581 F 0.682 1.496 +- 0.530
604 I 0.703 1.526 +- 0.500
695 S 0.724 1.548 +- 0.509
739 T 0.515 1.298 +- 0.578
942 E 0.649 1.478 +- 0.502
1003 G 0.767 1.577 +- 0.496
1007 E 0.667 1.496 +- 0.505
1157 D 0.692 1.510 +- 0.491
1214 T 0.527 1.314 +- 0.577
1221 K 0.564 1.362 +- 0.573
1292 G 0.759 1.579 +- 0.507
Model 8 vs 7 19.676314
Additional information for M7 vs M8:
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C251)
Pr(w>1) post mean +- SE for w
11 T 0.771 2.435
25 S 0.978* 2.920
33 V 0.962* 2.883
84 L 0.614 2.058
85 L 0.943 2.840
147 L 0.799 2.501
148 G 0.648 2.157
175 N 0.854 2.633
179 Q 0.640 2.127
180 R 0.524 1.836
181 V 0.840 2.600
186 W 0.988* 2.943
461 K 0.928 2.805
465 A 0.885 2.704
491 V 0.506 1.811
581 F 0.527 1.852
604 I 0.593 2.023
695 S 0.705 2.280
1003 G 0.792 2.489
1157 D 0.527 1.875
1292 G 0.825 2.562
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C251)
Pr(w>1) post mean +- SE for w
11 T 0.896 1.455 +- 0.365
23 T 0.613 1.117 +- 0.590
25 S 0.971* 1.528 +- 0.261
29 V 0.746 1.296 +- 0.481
33 V 0.975* 1.532 +- 0.253
84 L 0.830 1.381 +- 0.449
85 L 0.956* 1.514 +- 0.284
118 M 0.554 1.042 +- 0.603
145 T 0.666 1.186 +- 0.564
147 L 0.902 1.462 +- 0.358
148 G 0.924 1.486 +- 0.315
154 F 0.556 1.045 +- 0.603
173 N 0.666 1.205 +- 0.515
175 N 0.949 1.509 +- 0.288
179 Q 0.869 1.429 +- 0.392
180 R 0.772 1.311 +- 0.508
181 V 0.934 1.495 +- 0.311
186 W 0.980* 1.535 +- 0.248
206 D 0.656 1.194 +- 0.519
256 L 0.570 1.062 +- 0.601
287 K 0.610 1.114 +- 0.590
400 G 0.539 1.023 +- 0.606
457 Q 0.792 1.346 +- 0.454
461 K 0.953* 1.511 +- 0.288
465 A 0.942 1.502 +- 0.301
472 D 0.797 1.357 +- 0.427
491 V 0.842 1.400 +- 0.416
495 T 0.600 1.129 +- 0.533
521 K 0.600 1.101 +- 0.593
529 A 0.614 1.146 +- 0.530
551 G 0.517 0.995 +- 0.608
581 F 0.839 1.388 +- 0.440
604 I 0.892 1.454 +- 0.358
695 S 0.883 1.443 +- 0.378
739 T 0.610 1.113 +- 0.590
942 E 0.823 1.379 +- 0.432
1003 G 0.942 1.502 +- 0.297
1007 E 0.838 1.396 +- 0.419
1157 D 0.907 1.470 +- 0.333
1214 T 0.625 1.132 +- 0.586
1221 K 0.670 1.189 +- 0.568
1237 D 0.567 1.091 +- 0.541
1252 D 0.609 1.140 +- 0.532
1292 G 0.908 1.468 +- 0.350
-- Starting log on Fri Nov 18 14:39:17 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10633_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Fri Nov 18 14:41:37 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10633_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Fri Nov 18 21:34:13 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10633_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/gapped_alignment/codeml,DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10633_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1--
MrBayes v3.2.6 x64
(Bayesian Analysis of Phylogeny)
Distributed under the GNU General Public License
Type "help" or "help <command>" for information
on the commands that are available.
Type "about" for authorship and general
information about the program.
Executing file "/data/mrbayes_input.nex"
UNIX line termination
Longest line length = 63
Parsing file
Expecting NEXUS formatted file
Reading data block
Allocated taxon set
Allocated matrix
Defining new matrix with 30 taxa and 4161 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C216
Taxon 2 -> C298
Taxon 3 -> C85
Taxon 4 -> C161
Taxon 5 -> C237
Taxon 6 -> C269
Taxon 7 -> C47
Taxon 8 -> C19
Taxon 9 -> C22
Taxon 10 -> C61
Taxon 11 -> C4
Taxon 12 -> C29
Taxon 13 -> C182
Taxon 14 -> C251
Taxon 15 -> C192
Taxon 16 -> C235
Taxon 17 -> C66
Taxon 18 -> C279
Taxon 19 -> C94
Taxon 20 -> C122
Taxon 21 -> C64
Taxon 22 -> C30
Taxon 23 -> C130
Taxon 24 -> C71
Taxon 25 -> C8
Taxon 26 -> C135
Taxon 27 -> C134
Taxon 28 -> C45
Taxon 29 -> C83
Taxon 30 -> C142
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1668807255
Setting output file names to "/data/mrbayes_input.nex.run<i>.<p|t>"
Exiting data block
Reading mrbayes block
Setting autoclose to yes
Setting nowarnings to yes
Defining charset called 'first_pos'
Defining charset called 'second_pos'
Defining charset called 'third_pos'
Defining partition called 'by_codon'
Setting by_codon as the partition, dividing characters into 3 parts.
Setting model defaults
Seed (for generating default start values) = 502900165
Setting Nst to 6 for partition 1
Setting Nst to 6 for partition 2
Setting Nst to 6 for partition 3
Setting Rates to Invgamma for partition 1
Setting Rates to Invgamma for partition 2
Setting Rates to Invgamma for partition 3
Successfully set likelihood model parameters to all
applicable data partitions
Unlinking
Setting number of generations to 1000000
Running Markov chain
MCMC stamp = 7156068639
Seed = 972055817
Swapseed = 1668807255
Model settings:
Settings for partition 1 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Settings for partition 2 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Settings for partition 3 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Active parameters:
Partition(s)
Parameters 1 2 3
---------------------------
Revmat 1 1 1
Statefreq 2 2 2
Shape 3 3 4
Pinvar 5 5 5
Ratemultiplier 6 6 6
Topology 7 7 7
Brlens 8 8 8
---------------------------
Parameters can be linked or unlinked across partitions using 'link' and 'unlink'
1 -- Parameter = Revmat{all}
Type = Rates of reversible rate matrix
Prior = Dirichlet(1.00,1.00,1.00,1.00,1.00,1.00)
Partitions = All
2 -- Parameter = Pi{all}
Type = Stationary state frequencies
Prior = Dirichlet
Partitions = All
3 -- Parameter = Alpha{1,2}
Type = Shape of scaled gamma distribution of site rates
Prior = Exponential(1.00)
Partitions = 1 and 2
4 -- Parameter = Alpha{3}
Type = Shape of scaled gamma distribution of site rates
Prior = Exponential(1.00)
Partition = 3
5 -- Parameter = Pinvar{all}
Type = Proportion of invariable sites
Prior = Uniform(0.00,1.00)
Partitions = All
6 -- Parameter = Ratemultiplier{all}
Type = Partition-specific rate multiplier
Prior = Fixed(1.0)
Partitions = All
7 -- Parameter = Tau{all}
Type = Topology
Prior = All topologies equally probable a priori
Partitions = All
Subparam. = V{all}
8 -- Parameter = V{all}
Type = Branch lengths
Prior = Unconstrained:GammaDir(1.0,0.1000,1.0,1.0)
Partitions = All
The MCMC sampler will use the following moves:
With prob. Chain will use move
0.91 % Dirichlet(Revmat{all})
0.91 % Slider(Revmat{all})
0.91 % Dirichlet(Pi{all})
0.91 % Slider(Pi{all})
1.82 % Multiplier(Alpha{1,2})
1.82 % Multiplier(Alpha{3})
1.82 % Slider(Pinvar{all})
9.09 % ExtSPR(Tau{all},V{all})
9.09 % ExtTBR(Tau{all},V{all})
9.09 % NNI(Tau{all},V{all})
9.09 % ParsSPR(Tau{all},V{all})
36.36 % Multiplier(V{all})
12.73 % Nodeslider(V{all})
5.45 % TLMultiplier(V{all})
Division 1 has 131 unique site patterns
Division 2 has 104 unique site patterns
Division 3 has 240 unique site patterns
Initializing conditional likelihoods
Using standard SSE likelihood calculator for division 1 (single-precision)
Using standard SSE likelihood calculator for division 2 (single-precision)
Using standard SSE likelihood calculator for division 3 (single-precision)
Initializing invariable-site conditional likelihoods
Initial log likelihoods and log prior probs for run 1:
Chain 1 -- -22452.273814 -- 82.122948
Chain 2 -- -21864.478161 -- 82.122948
Chain 3 -- -24559.384137 -- 82.122948
Chain 4 -- -23749.371778 -- 82.122948
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -24848.546177 -- 82.122948
Chain 2 -- -24219.724158 -- 82.122948
Chain 3 -- -25074.693011 -- 82.122948
Chain 4 -- -23335.341614 -- 82.122948
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-22452.274] (-21864.478) (-24559.384) (-23749.372) * [-24848.546] (-24219.724) (-25074.693) (-23335.342)
1000 -- (-11566.527) (-11485.020) (-11697.450) [-11113.724] * (-11326.714) (-11374.423) (-11310.035) [-11178.419] -- 0:49:57
2000 -- (-10818.029) (-10831.437) [-10793.407] (-10790.612) * [-10809.313] (-10867.358) (-10873.934) (-10869.179) -- 0:41:35
3000 -- (-10743.077) (-10748.052) (-10721.832) [-10707.114] * (-10758.776) [-10751.732] (-10759.641) (-10786.568) -- 0:44:18
4000 -- (-10718.888) (-10732.448) (-10703.867) [-10691.388] * (-10717.890) [-10697.165] (-10745.623) (-10756.717) -- 0:41:30
5000 -- (-10694.014) (-10694.676) [-10682.362] (-10699.414) * (-10703.640) (-10709.626) [-10700.349] (-10746.790) -- 0:43:07
Average standard deviation of split frequencies: 0.049997
6000 -- (-10687.776) [-10686.372] (-10692.803) (-10691.603) * (-10692.572) (-10690.417) [-10683.019] (-10708.022) -- 0:41:25
7000 -- [-10691.372] (-10686.939) (-10688.205) (-10691.438) * (-10698.738) (-10705.811) [-10687.004] (-10712.930) -- 0:40:11
8000 -- (-10689.969) [-10689.047] (-10691.199) (-10694.092) * [-10683.779] (-10710.497) (-10689.926) (-10682.356) -- 0:41:20
9000 -- [-10686.588] (-10691.288) (-10706.164) (-10698.001) * (-10686.893) [-10685.835] (-10697.479) (-10698.528) -- 0:40:22
10000 -- (-10696.394) (-10694.359) (-10696.588) [-10683.588] * (-10684.216) (-10707.673) (-10698.467) [-10691.214] -- 0:41:15
Average standard deviation of split frequencies: 0.041595
11000 -- (-10696.195) (-10693.080) (-10685.934) [-10682.518] * (-10701.480) [-10700.779] (-10691.836) (-10685.057) -- 0:40:27
12000 -- (-10700.510) [-10680.999] (-10679.169) (-10697.644) * (-10709.255) [-10682.018] (-10702.245) (-10687.086) -- 0:41:10
13000 -- (-10693.891) [-10683.825] (-10691.230) (-10690.527) * (-10704.373) (-10689.266) (-10689.615) [-10678.068] -- 0:40:29
14000 -- (-10696.773) (-10710.012) (-10700.184) [-10680.344] * [-10686.495] (-10702.261) (-10705.013) (-10694.178) -- 0:41:05
15000 -- (-10704.904) (-10680.212) [-10690.703] (-10684.765) * (-10696.398) [-10694.097] (-10706.028) (-10687.537) -- 0:40:29
Average standard deviation of split frequencies: 0.027621
16000 -- (-10699.400) [-10688.878] (-10683.614) (-10700.534) * (-10701.944) [-10688.603] (-10698.084) (-10683.387) -- 0:41:00
17000 -- (-10690.860) [-10697.631] (-10684.059) (-10694.220) * (-10703.217) (-10690.281) [-10693.767] (-10686.446) -- 0:40:28
18000 -- [-10693.362] (-10698.363) (-10692.725) (-10681.487) * (-10690.137) (-10690.794) [-10684.497] (-10706.258) -- 0:40:00
19000 -- (-10684.563) [-10694.166] (-10696.406) (-10690.627) * [-10691.582] (-10690.379) (-10695.279) (-10687.485) -- 0:40:26
20000 -- (-10687.691) (-10692.000) (-10698.146) [-10694.182] * (-10688.473) [-10689.867] (-10682.659) (-10690.480) -- 0:40:01
Average standard deviation of split frequencies: 0.014256
21000 -- [-10682.981] (-10693.898) (-10702.898) (-10693.367) * (-10690.082) (-10706.915) [-10676.379] (-10691.672) -- 0:40:24
22000 -- (-10695.961) (-10682.139) (-10695.391) [-10688.130] * (-10706.012) [-10695.561] (-10681.900) (-10700.548) -- 0:40:00
23000 -- (-10691.029) (-10690.989) (-10702.961) [-10687.153] * (-10694.508) (-10696.978) (-10691.643) [-10691.153] -- 0:40:21
24000 -- (-10703.153) [-10685.990] (-10688.321) (-10703.674) * (-10719.176) (-10681.405) [-10685.583] (-10692.461) -- 0:39:59
25000 -- (-10698.835) (-10686.737) (-10688.417) [-10690.055] * (-10707.750) (-10687.170) (-10686.275) [-10681.779] -- 0:40:18
Average standard deviation of split frequencies: 0.012087
26000 -- [-10679.811] (-10692.470) (-10684.980) (-10695.249) * (-10689.804) (-10680.945) [-10688.759] (-10696.998) -- 0:39:57
27000 -- (-10690.179) (-10709.709) [-10677.608] (-10699.408) * (-10689.646) (-10680.503) [-10684.313] (-10703.541) -- 0:40:14
28000 -- [-10688.645] (-10705.480) (-10690.690) (-10706.116) * (-10690.545) [-10680.205] (-10699.003) (-10691.075) -- 0:39:55
29000 -- (-10695.813) [-10693.819] (-10694.223) (-10706.965) * (-10688.109) [-10680.366] (-10693.665) (-10719.098) -- 0:40:10
30000 -- (-10682.739) (-10685.280) [-10693.136] (-10699.514) * (-10695.808) (-10692.761) [-10686.270] (-10708.620) -- 0:39:52
Average standard deviation of split frequencies: 0.009947
31000 -- [-10681.139] (-10690.076) (-10700.427) (-10709.267) * (-10687.065) [-10688.643] (-10691.936) (-10699.551) -- 0:39:35
32000 -- [-10682.363] (-10692.976) (-10687.208) (-10707.469) * [-10695.025] (-10683.713) (-10708.703) (-10697.885) -- 0:39:49
33000 -- [-10702.809] (-10685.075) (-10678.155) (-10700.508) * [-10690.153] (-10687.668) (-10710.180) (-10701.403) -- 0:39:33
34000 -- [-10688.801] (-10678.916) (-10690.327) (-10688.610) * (-10695.417) (-10687.265) (-10702.478) [-10682.077] -- 0:39:46
35000 -- (-10686.123) (-10691.973) [-10683.195] (-10693.615) * (-10688.078) (-10695.407) (-10685.301) [-10691.000] -- 0:39:58
Average standard deviation of split frequencies: 0.007539
36000 -- (-10689.353) (-10693.697) [-10687.813] (-10694.093) * (-10693.086) [-10678.810] (-10703.796) (-10681.252) -- 0:39:43
37000 -- (-10699.360) (-10693.053) [-10691.995] (-10690.172) * (-10686.291) (-10690.760) (-10698.694) [-10678.229] -- 0:39:28
38000 -- [-10690.887] (-10697.153) (-10694.764) (-10685.802) * (-10695.369) (-10697.931) (-10712.845) [-10698.602] -- 0:39:39
39000 -- (-10694.201) [-10678.798] (-10698.575) (-10693.242) * (-10692.654) (-10703.311) [-10684.431] (-10713.322) -- 0:39:50
40000 -- [-10685.047] (-10681.149) (-10708.224) (-10691.513) * (-10692.135) (-10697.347) [-10689.714] (-10681.685) -- 0:39:36
Average standard deviation of split frequencies: 0.012997
41000 -- [-10686.378] (-10696.985) (-10686.170) (-10689.046) * (-10694.001) (-10690.175) [-10681.543] (-10681.362) -- 0:39:45
42000 -- (-10674.311) [-10679.659] (-10684.224) (-10693.874) * (-10703.927) (-10694.023) (-10700.314) [-10701.670] -- 0:39:32
43000 -- [-10690.894] (-10711.787) (-10693.427) (-10692.767) * (-10686.578) [-10677.243] (-10691.554) (-10691.953) -- 0:39:41
44000 -- (-10702.701) (-10695.560) (-10680.863) [-10695.096] * (-10704.142) [-10692.888] (-10689.960) (-10714.728) -- 0:39:28
45000 -- (-10704.793) (-10700.767) (-10691.228) [-10685.187] * (-10690.074) (-10687.297) [-10683.352] (-10691.099) -- 0:39:36
Average standard deviation of split frequencies: 0.014285
46000 -- (-10720.206) [-10680.600] (-10715.378) (-10689.044) * [-10694.081] (-10696.859) (-10680.120) (-10704.607) -- 0:39:24
47000 -- (-10705.949) [-10688.339] (-10684.122) (-10702.327) * (-10698.538) (-10706.563) [-10693.708] (-10697.351) -- 0:39:32
48000 -- (-10714.907) [-10692.119] (-10693.556) (-10698.039) * [-10687.698] (-10688.437) (-10693.522) (-10705.340) -- 0:39:20
49000 -- (-10689.755) [-10679.857] (-10678.946) (-10694.742) * [-10687.139] (-10695.267) (-10688.614) (-10704.914) -- 0:39:27
50000 -- (-10703.618) (-10685.910) [-10679.243] (-10707.369) * [-10685.521] (-10713.070) (-10691.096) (-10685.725) -- 0:39:16
Average standard deviation of split frequencies: 0.007612
51000 -- (-10698.274) (-10690.614) [-10691.895] (-10691.635) * (-10710.621) [-10688.546] (-10711.481) (-10700.450) -- 0:39:23
52000 -- (-10695.897) (-10691.184) (-10689.153) [-10681.159] * (-10687.824) [-10687.984] (-10705.214) (-10696.390) -- 0:39:11
53000 -- (-10694.364) [-10683.217] (-10708.904) (-10690.622) * [-10690.437] (-10684.451) (-10692.807) (-10701.286) -- 0:39:18
54000 -- (-10697.814) [-10679.483] (-10703.191) (-10691.762) * (-10693.708) (-10693.257) [-10674.133] (-10689.818) -- 0:39:07
55000 -- (-10697.584) [-10681.868] (-10686.802) (-10709.227) * (-10690.295) (-10691.168) [-10682.561] (-10703.495) -- 0:39:13
Average standard deviation of split frequencies: 0.010459
56000 -- (-10688.555) (-10680.613) [-10689.372] (-10699.403) * (-10700.184) (-10680.772) (-10689.245) [-10684.811] -- 0:39:03
57000 -- (-10701.442) (-10686.502) [-10697.310] (-10691.859) * (-10710.345) [-10687.321] (-10685.357) (-10695.581) -- 0:38:52
58000 -- (-10710.623) [-10685.466] (-10704.819) (-10690.959) * (-10684.481) (-10692.428) [-10693.407] (-10692.526) -- 0:38:58
59000 -- (-10696.966) [-10691.544] (-10699.875) (-10692.039) * [-10682.716] (-10693.644) (-10682.616) (-10700.211) -- 0:38:48
60000 -- (-10702.451) (-10698.395) (-10689.998) [-10678.959] * (-10702.265) (-10688.532) [-10686.616] (-10684.250) -- 0:38:54
Average standard deviation of split frequencies: 0.012244
61000 -- (-10705.179) (-10687.649) (-10689.762) [-10677.430] * [-10686.981] (-10692.976) (-10677.254) (-10694.099) -- 0:38:44
62000 -- [-10690.177] (-10705.725) (-10700.882) (-10691.050) * (-10702.897) [-10679.655] (-10682.006) (-10690.000) -- 0:38:49
63000 -- (-10680.176) (-10696.287) [-10681.674] (-10681.451) * (-10698.110) (-10697.172) (-10685.266) [-10693.707] -- 0:38:40
64000 -- (-10684.660) (-10714.023) [-10685.229] (-10685.310) * (-10704.116) (-10688.294) (-10708.218) [-10682.138] -- 0:38:45
65000 -- (-10706.431) (-10692.230) (-10691.321) [-10681.756] * (-10689.639) [-10681.879] (-10694.743) (-10687.019) -- 0:38:35
Average standard deviation of split frequencies: 0.011255
66000 -- (-10699.987) (-10688.575) (-10684.550) [-10680.391] * (-10696.353) (-10688.289) [-10693.355] (-10697.981) -- 0:38:40
67000 -- [-10675.381] (-10689.208) (-10683.890) (-10692.685) * (-10693.068) (-10698.217) [-10686.102] (-10696.319) -- 0:38:31
68000 -- (-10689.199) (-10698.183) (-10696.463) [-10695.368] * (-10706.962) [-10693.470] (-10684.125) (-10695.273) -- 0:38:36
69000 -- [-10685.327] (-10689.768) (-10715.960) (-10690.916) * (-10698.983) [-10683.245] (-10698.225) (-10697.151) -- 0:38:27
70000 -- (-10682.668) [-10689.965] (-10683.402) (-10699.344) * (-10713.767) (-10685.346) (-10688.666) [-10693.053] -- 0:38:31
Average standard deviation of split frequencies: 0.009381
71000 -- [-10688.168] (-10680.564) (-10702.768) (-10710.362) * (-10698.426) (-10705.653) [-10682.477] (-10702.893) -- 0:38:22
72000 -- (-10680.568) (-10688.860) [-10694.822] (-10697.608) * (-10679.031) (-10690.853) (-10696.455) [-10689.599] -- 0:38:27
73000 -- (-10683.455) (-10698.681) [-10676.096] (-10706.186) * (-10699.163) (-10701.490) [-10679.758] (-10695.447) -- 0:38:18
74000 -- [-10672.084] (-10703.678) (-10691.694) (-10694.636) * (-10689.201) (-10686.140) (-10693.330) [-10681.588] -- 0:38:22
75000 -- (-10695.158) (-10699.312) (-10682.758) [-10680.494] * (-10696.116) (-10693.252) [-10688.308] (-10700.187) -- 0:38:14
Average standard deviation of split frequencies: 0.009404
76000 -- (-10702.299) [-10684.485] (-10682.046) (-10701.604) * (-10705.180) [-10678.074] (-10699.500) (-10704.444) -- 0:38:05
77000 -- (-10683.530) [-10692.351] (-10680.578) (-10698.199) * [-10685.826] (-10682.898) (-10686.169) (-10688.983) -- 0:38:09
78000 -- (-10682.467) [-10684.106] (-10687.216) (-10699.306) * (-10700.978) (-10705.485) (-10695.887) [-10690.453] -- 0:38:01
79000 -- (-10692.832) [-10697.814] (-10690.398) (-10689.064) * (-10706.407) (-10700.899) (-10701.763) [-10685.844] -- 0:38:05
80000 -- (-10701.950) (-10680.756) (-10690.105) [-10677.583] * (-10689.281) [-10698.280] (-10696.984) (-10716.812) -- 0:37:57
Average standard deviation of split frequencies: 0.011688
81000 -- (-10690.470) [-10686.090] (-10697.370) (-10685.317) * (-10702.582) [-10692.152] (-10690.906) (-10695.140) -- 0:38:00
82000 -- (-10695.832) [-10691.641] (-10687.435) (-10690.956) * (-10701.582) (-10685.158) [-10687.534] (-10682.970) -- 0:38:03
83000 -- [-10694.439] (-10685.343) (-10695.547) (-10686.275) * (-10708.160) (-10687.314) (-10698.639) [-10686.380] -- 0:37:55
84000 -- (-10687.926) (-10691.963) (-10691.516) [-10684.545] * (-10696.320) (-10696.650) (-10684.623) [-10693.676] -- 0:37:59
85000 -- (-10698.851) (-10696.492) (-10702.294) [-10685.539] * [-10692.885] (-10700.504) (-10702.661) (-10687.630) -- 0:37:51
Average standard deviation of split frequencies: 0.013262
86000 -- (-10698.048) [-10680.863] (-10689.406) (-10688.075) * (-10702.644) (-10695.686) (-10717.324) [-10700.782] -- 0:37:43
87000 -- (-10694.318) (-10698.189) (-10710.116) [-10696.401] * [-10685.645] (-10694.813) (-10706.965) (-10703.308) -- 0:37:46
88000 -- (-10687.376) [-10691.183] (-10682.653) (-10696.693) * (-10688.427) [-10694.282] (-10685.061) (-10690.338) -- 0:37:39
89000 -- [-10689.868] (-10709.053) (-10683.717) (-10686.083) * (-10691.142) [-10682.336] (-10700.432) (-10685.020) -- 0:37:42
90000 -- (-10706.957) (-10702.790) [-10679.995] (-10685.162) * (-10690.237) [-10677.411] (-10710.505) (-10688.508) -- 0:37:34
Average standard deviation of split frequencies: 0.013811
91000 -- (-10689.196) (-10695.460) [-10679.875] (-10682.240) * (-10688.886) [-10681.978] (-10682.835) (-10689.538) -- 0:37:37
92000 -- (-10698.904) [-10684.167] (-10686.854) (-10688.265) * (-10698.782) [-10678.031] (-10688.189) (-10697.611) -- 0:37:30
93000 -- (-10697.530) [-10688.168] (-10688.147) (-10693.676) * (-10684.264) (-10681.642) (-10704.354) [-10688.488] -- 0:37:32
94000 -- (-10692.628) (-10700.631) (-10704.315) [-10679.723] * (-10680.838) (-10691.116) [-10687.568] (-10691.732) -- 0:37:25
95000 -- (-10686.554) (-10707.828) (-10707.759) [-10679.215] * (-10689.895) [-10682.505] (-10690.206) (-10691.686) -- 0:37:28
Average standard deviation of split frequencies: 0.013350
96000 -- (-10696.759) (-10696.018) (-10693.135) [-10685.446] * (-10693.495) [-10674.614] (-10695.810) (-10689.874) -- 0:37:21
97000 -- [-10680.808] (-10693.642) (-10705.981) (-10688.670) * [-10687.124] (-10700.427) (-10693.014) (-10698.066) -- 0:37:23
98000 -- (-10710.340) (-10698.062) (-10691.425) [-10683.958] * (-10693.986) [-10690.518] (-10694.555) (-10682.605) -- 0:37:16
99000 -- [-10686.618] (-10682.474) (-10705.838) (-10676.303) * (-10710.886) [-10691.741] (-10687.954) (-10681.909) -- 0:37:18
100000 -- [-10684.243] (-10697.293) (-10704.459) (-10680.577) * (-10705.661) (-10685.497) [-10686.574] (-10691.168) -- 0:37:12
Average standard deviation of split frequencies: 0.013609
101000 -- (-10699.011) (-10685.662) (-10711.467) [-10682.212] * (-10696.044) (-10693.023) (-10688.545) [-10675.747] -- 0:37:05
102000 -- [-10672.773] (-10690.211) (-10699.889) (-10689.041) * (-10687.629) (-10699.964) (-10694.772) [-10680.045] -- 0:37:07
103000 -- (-10687.129) (-10690.145) [-10690.447] (-10695.818) * (-10698.376) [-10689.139] (-10680.813) (-10694.216) -- 0:37:00
104000 -- [-10670.950] (-10697.379) (-10692.450) (-10701.796) * (-10691.957) [-10685.395] (-10703.517) (-10688.076) -- 0:37:02
105000 -- (-10687.984) (-10696.658) (-10686.512) [-10685.429] * (-10701.711) (-10698.197) (-10692.269) [-10700.671] -- 0:36:56
Average standard deviation of split frequencies: 0.013342
106000 -- (-10685.196) (-10693.174) (-10701.493) [-10688.010] * (-10686.875) (-10689.087) (-10699.261) [-10688.473] -- 0:36:58
107000 -- (-10680.448) (-10698.327) [-10686.907] (-10696.803) * (-10687.282) [-10689.544] (-10684.156) (-10690.196) -- 0:36:51
108000 -- [-10682.835] (-10683.380) (-10690.079) (-10699.902) * [-10687.839] (-10689.891) (-10694.924) (-10709.229) -- 0:36:53
109000 -- (-10695.778) (-10688.868) (-10698.792) [-10689.202] * (-10679.772) [-10676.030] (-10687.006) (-10705.327) -- 0:36:47
110000 -- [-10693.286] (-10709.276) (-10707.062) (-10711.139) * [-10686.975] (-10685.306) (-10693.734) (-10685.686) -- 0:36:40
Average standard deviation of split frequencies: 0.013578
111000 -- (-10687.870) (-10704.449) [-10687.959] (-10698.436) * (-10705.762) (-10681.601) (-10709.209) [-10693.030] -- 0:36:42
112000 -- [-10685.901] (-10695.644) (-10684.641) (-10690.575) * (-10694.815) (-10690.338) (-10694.824) [-10683.045] -- 0:36:36
113000 -- (-10689.753) [-10695.474] (-10700.692) (-10673.525) * (-10691.097) (-10709.988) [-10691.731] (-10685.231) -- 0:36:37
114000 -- (-10694.865) (-10710.388) [-10683.823] (-10683.972) * [-10693.351] (-10699.671) (-10699.018) (-10682.790) -- 0:36:31
115000 -- (-10692.362) (-10701.942) (-10692.414) [-10684.184] * (-10685.539) (-10707.105) [-10690.876] (-10693.631) -- 0:36:33
Average standard deviation of split frequencies: 0.012699
116000 -- (-10687.858) [-10692.220] (-10683.060) (-10696.189) * (-10684.910) (-10691.684) (-10698.937) [-10680.463] -- 0:36:27
117000 -- [-10685.321] (-10689.545) (-10687.424) (-10702.559) * (-10698.480) (-10675.103) (-10688.546) [-10685.733] -- 0:36:28
118000 -- (-10698.694) (-10689.062) (-10695.443) [-10692.995] * (-10712.087) (-10679.444) [-10693.154] (-10695.177) -- 0:36:22
119000 -- (-10696.320) (-10689.784) [-10682.358] (-10683.957) * (-10696.794) (-10680.693) [-10705.621] (-10689.823) -- 0:36:16
120000 -- (-10676.042) (-10694.319) [-10683.140] (-10690.541) * (-10703.086) (-10681.326) (-10687.402) [-10684.067] -- 0:36:18
Average standard deviation of split frequencies: 0.009830
121000 -- (-10682.613) (-10686.964) (-10693.353) [-10687.485] * (-10695.270) (-10693.292) (-10695.003) [-10679.645] -- 0:36:12
122000 -- (-10703.296) (-10694.321) [-10704.252] (-10688.104) * (-10700.394) (-10691.963) (-10696.964) [-10687.603] -- 0:36:13
123000 -- (-10700.912) [-10695.557] (-10693.110) (-10708.398) * (-10700.433) (-10687.705) [-10684.166] (-10681.995) -- 0:36:07
124000 -- [-10694.501] (-10700.594) (-10699.588) (-10685.242) * (-10696.635) [-10682.699] (-10692.173) (-10687.439) -- 0:36:08
125000 -- [-10678.281] (-10695.168) (-10687.883) (-10710.386) * (-10693.808) (-10692.337) [-10685.746] (-10691.375) -- 0:36:03
Average standard deviation of split frequencies: 0.008448
126000 -- [-10683.608] (-10693.686) (-10693.735) (-10688.622) * [-10687.978] (-10697.623) (-10696.637) (-10699.847) -- 0:36:04
127000 -- (-10708.732) (-10700.192) [-10694.997] (-10687.428) * (-10698.729) (-10694.298) (-10688.913) [-10684.661] -- 0:35:58
128000 -- (-10692.005) (-10708.611) [-10686.665] (-10696.481) * [-10683.884] (-10689.040) (-10691.021) (-10704.972) -- 0:35:59
129000 -- (-10683.260) (-10711.565) [-10682.086] (-10705.484) * (-10707.689) (-10693.146) (-10696.042) [-10689.209] -- 0:35:53
130000 -- [-10678.496] (-10692.388) (-10688.821) (-10692.042) * (-10700.384) (-10700.366) (-10707.608) [-10686.447] -- 0:35:48
Average standard deviation of split frequencies: 0.010710
131000 -- (-10674.237) (-10694.658) [-10693.894] (-10689.039) * (-10702.957) (-10685.369) (-10707.001) [-10682.551] -- 0:35:49
132000 -- [-10680.125] (-10699.146) (-10697.137) (-10690.439) * (-10690.860) (-10686.167) (-10706.318) [-10683.709] -- 0:35:43
133000 -- [-10684.548] (-10703.474) (-10687.254) (-10692.030) * (-10697.199) (-10691.071) [-10689.964] (-10688.750) -- 0:35:44
134000 -- (-10682.746) (-10706.848) (-10688.949) [-10682.806] * [-10683.124] (-10699.662) (-10696.423) (-10692.503) -- 0:35:39
135000 -- (-10694.098) [-10688.002] (-10699.013) (-10692.889) * (-10690.507) (-10704.293) (-10695.502) [-10692.615] -- 0:35:40
Average standard deviation of split frequencies: 0.009169
136000 -- (-10688.273) (-10698.251) (-10697.618) [-10690.341] * (-10692.489) (-10698.971) (-10681.434) [-10690.536] -- 0:35:34
137000 -- [-10680.092] (-10691.523) (-10689.236) (-10686.329) * (-10690.318) (-10697.513) [-10686.709] (-10694.903) -- 0:35:35
138000 -- [-10683.534] (-10693.214) (-10694.136) (-10702.821) * [-10687.978] (-10697.262) (-10688.540) (-10694.871) -- 0:35:30
139000 -- (-10701.939) (-10685.678) (-10691.038) [-10686.035] * (-10698.327) [-10679.773] (-10698.169) (-10683.698) -- 0:35:24
140000 -- (-10686.572) (-10698.479) (-10696.626) [-10691.817] * (-10707.705) (-10700.401) (-10692.909) [-10690.905] -- 0:35:25
Average standard deviation of split frequencies: 0.009729
141000 -- (-10700.584) (-10687.717) [-10689.018] (-10698.702) * (-10678.481) [-10685.515] (-10684.262) (-10709.731) -- 0:35:20
142000 -- (-10692.665) [-10689.101] (-10688.766) (-10701.244) * (-10707.754) [-10687.500] (-10689.068) (-10710.886) -- 0:35:20
143000 -- (-10702.830) [-10686.447] (-10696.746) (-10698.194) * (-10700.749) (-10696.588) [-10692.420] (-10696.652) -- 0:35:15
144000 -- (-10701.001) (-10687.468) [-10695.627] (-10687.554) * (-10692.542) (-10691.542) (-10683.148) [-10679.124] -- 0:35:16
145000 -- [-10685.701] (-10704.745) (-10686.863) (-10700.498) * (-10701.442) (-10699.937) [-10684.076] (-10687.566) -- 0:35:10
Average standard deviation of split frequencies: 0.010520
146000 -- (-10695.887) (-10710.899) [-10677.997] (-10699.366) * (-10699.874) [-10690.361] (-10688.078) (-10693.117) -- 0:35:11
147000 -- (-10692.273) (-10698.333) [-10688.381] (-10712.021) * (-10688.664) [-10693.781] (-10691.573) (-10697.256) -- 0:35:06
148000 -- [-10684.615] (-10687.182) (-10678.269) (-10701.810) * (-10681.139) [-10685.594] (-10700.803) (-10677.099) -- 0:35:01
149000 -- (-10676.273) (-10695.478) [-10685.686] (-10698.476) * (-10682.769) [-10676.085] (-10687.335) (-10691.739) -- 0:35:01
150000 -- (-10682.193) (-10695.084) [-10679.449] (-10698.400) * (-10686.058) [-10683.133] (-10697.581) (-10710.925) -- 0:34:56
Average standard deviation of split frequencies: 0.011102
151000 -- [-10683.195] (-10693.384) (-10686.666) (-10694.229) * [-10685.776] (-10697.180) (-10694.158) (-10688.134) -- 0:34:57
152000 -- (-10687.044) (-10696.483) [-10681.988] (-10701.974) * (-10690.992) [-10686.165] (-10694.725) (-10691.358) -- 0:34:52
153000 -- (-10692.589) [-10688.032] (-10688.308) (-10699.385) * (-10685.624) (-10698.142) [-10679.994] (-10704.161) -- 0:34:52
154000 -- (-10692.894) [-10684.916] (-10712.868) (-10702.628) * (-10702.687) (-10694.020) [-10685.024] (-10690.161) -- 0:34:47
155000 -- [-10685.234] (-10679.685) (-10692.547) (-10692.187) * (-10692.673) (-10691.632) [-10683.259] (-10696.893) -- 0:34:47
Average standard deviation of split frequencies: 0.009650
156000 -- (-10685.217) [-10689.694] (-10698.680) (-10697.875) * (-10699.552) (-10685.223) [-10689.594] (-10700.942) -- 0:34:42
157000 -- (-10682.244) [-10688.750] (-10708.917) (-10709.418) * [-10676.987] (-10700.758) (-10683.407) (-10693.191) -- 0:34:37
158000 -- (-10679.440) [-10682.968] (-10700.388) (-10702.359) * (-10686.715) (-10696.902) [-10689.226] (-10709.683) -- 0:34:38
159000 -- (-10700.578) (-10695.672) [-10699.064] (-10711.959) * (-10697.265) (-10693.775) [-10683.860] (-10690.583) -- 0:34:33
160000 -- (-10690.012) [-10695.257] (-10690.972) (-10701.598) * (-10705.609) (-10694.864) (-10706.843) [-10684.180] -- 0:34:33
Average standard deviation of split frequencies: 0.009086
161000 -- (-10700.890) [-10690.798] (-10687.821) (-10705.816) * (-10697.060) (-10712.917) (-10698.880) [-10682.437] -- 0:34:28
162000 -- (-10689.794) (-10689.751) [-10682.854] (-10688.250) * (-10678.174) (-10701.056) (-10693.708) [-10682.865] -- 0:34:29
163000 -- (-10686.053) [-10696.173] (-10695.312) (-10682.639) * (-10685.445) [-10691.732] (-10698.361) (-10695.097) -- 0:34:24
164000 -- (-10694.570) (-10690.661) (-10679.889) [-10688.545] * [-10684.524] (-10680.934) (-10688.881) (-10691.299) -- 0:34:24
165000 -- (-10697.693) [-10678.774] (-10692.621) (-10688.243) * [-10682.308] (-10689.242) (-10704.525) (-10703.665) -- 0:34:19
Average standard deviation of split frequencies: 0.009619
166000 -- (-10713.115) (-10697.492) [-10687.018] (-10685.199) * [-10674.788] (-10690.285) (-10695.200) (-10711.074) -- 0:34:19
167000 -- [-10696.982] (-10718.015) (-10694.859) (-10692.222) * (-10683.615) (-10697.685) [-10687.456] (-10701.114) -- 0:34:15
168000 -- (-10694.302) (-10700.380) (-10689.477) [-10695.706] * (-10684.575) [-10689.290] (-10696.477) (-10696.892) -- 0:34:10
169000 -- (-10699.656) (-10684.839) [-10685.157] (-10683.767) * (-10688.736) [-10691.113] (-10698.770) (-10707.185) -- 0:34:10
170000 -- (-10685.335) [-10686.749] (-10693.188) (-10686.595) * (-10678.142) (-10696.643) (-10686.986) [-10684.433] -- 0:34:05
Average standard deviation of split frequencies: 0.009356
171000 -- (-10686.351) (-10685.403) (-10698.354) [-10686.746] * [-10694.095] (-10698.878) (-10706.422) (-10688.952) -- 0:34:05
172000 -- (-10704.286) (-10686.347) [-10695.929] (-10694.681) * [-10693.970] (-10693.003) (-10701.261) (-10689.358) -- 0:34:01
173000 -- (-10697.888) (-10715.263) (-10679.316) [-10688.713] * [-10694.875] (-10691.804) (-10705.479) (-10693.879) -- 0:34:01
174000 -- [-10684.478] (-10702.050) (-10694.876) (-10687.451) * (-10690.156) [-10692.992] (-10696.590) (-10695.376) -- 0:33:56
175000 -- (-10701.509) [-10691.992] (-10705.769) (-10687.204) * (-10690.916) (-10699.196) [-10681.785] (-10688.542) -- 0:33:56
Average standard deviation of split frequencies: 0.009159
176000 -- [-10697.279] (-10701.363) (-10720.536) (-10684.427) * [-10685.545] (-10694.351) (-10695.575) (-10687.777) -- 0:33:51
177000 -- (-10697.894) (-10686.706) (-10688.658) [-10690.279] * (-10697.996) (-10700.352) (-10701.347) [-10691.206] -- 0:33:47
178000 -- [-10680.134] (-10700.156) (-10693.222) (-10706.644) * (-10708.780) (-10687.051) [-10680.592] (-10694.071) -- 0:33:47
179000 -- (-10688.136) (-10711.614) (-10704.364) [-10683.567] * (-10696.088) [-10698.095] (-10696.375) (-10694.354) -- 0:33:42
180000 -- [-10682.647] (-10690.891) (-10676.635) (-10717.613) * [-10697.888] (-10695.728) (-10693.471) (-10681.373) -- 0:33:42
Average standard deviation of split frequencies: 0.008249
181000 -- (-10692.498) (-10702.083) (-10709.954) [-10696.827] * (-10687.473) (-10690.099) (-10688.678) [-10680.861] -- 0:33:38
182000 -- (-10689.196) [-10689.868] (-10705.214) (-10698.731) * [-10696.075] (-10690.311) (-10689.184) (-10685.088) -- 0:33:38
183000 -- (-10686.895) (-10688.316) (-10692.000) [-10684.511] * [-10688.582] (-10695.373) (-10699.822) (-10704.581) -- 0:33:33
184000 -- (-10697.198) (-10699.452) (-10690.950) [-10691.784] * [-10696.145] (-10695.568) (-10699.668) (-10700.673) -- 0:33:28
185000 -- (-10694.554) [-10684.052] (-10693.012) (-10685.507) * [-10678.824] (-10690.322) (-10703.332) (-10698.252) -- 0:33:28
Average standard deviation of split frequencies: 0.007849
186000 -- (-10688.488) [-10678.886] (-10692.962) (-10695.693) * (-10686.032) [-10689.367] (-10704.014) (-10704.990) -- 0:33:24
187000 -- (-10698.170) (-10705.136) (-10696.520) [-10686.276] * (-10687.340) [-10681.562] (-10707.381) (-10683.958) -- 0:33:24
188000 -- (-10696.094) [-10690.909] (-10686.886) (-10696.622) * (-10687.259) [-10688.788] (-10698.922) (-10679.133) -- 0:33:19
189000 -- (-10693.678) (-10695.928) (-10684.638) [-10685.532] * [-10685.541] (-10687.446) (-10708.304) (-10691.643) -- 0:33:19
190000 -- (-10687.936) (-10711.295) (-10696.665) [-10684.067] * (-10692.392) [-10693.765] (-10695.109) (-10708.201) -- 0:33:15
Average standard deviation of split frequencies: 0.006620
191000 -- (-10691.867) [-10680.726] (-10707.909) (-10687.601) * [-10683.276] (-10693.135) (-10695.125) (-10690.567) -- 0:33:14
192000 -- (-10682.183) (-10716.082) [-10683.332] (-10689.647) * (-10700.938) [-10686.997] (-10698.712) (-10695.310) -- 0:33:10
193000 -- (-10682.525) (-10695.475) (-10692.942) [-10698.482] * (-10698.273) [-10681.351] (-10707.809) (-10699.124) -- 0:33:10
194000 -- (-10680.421) (-10684.019) [-10679.108] (-10698.891) * (-10690.980) [-10689.035] (-10697.171) (-10694.150) -- 0:33:05
195000 -- [-10681.936] (-10697.250) (-10691.498) (-10694.397) * (-10706.669) [-10682.379] (-10704.912) (-10682.975) -- 0:33:05
Average standard deviation of split frequencies: 0.006827
196000 -- (-10692.346) (-10689.515) [-10681.111] (-10696.830) * (-10694.415) [-10679.857] (-10699.244) (-10698.505) -- 0:33:01
197000 -- (-10685.608) [-10692.522] (-10687.323) (-10698.882) * (-10684.636) (-10703.514) (-10699.480) [-10677.204] -- 0:32:56
198000 -- (-10700.390) (-10693.385) [-10679.254] (-10696.336) * (-10687.753) (-10696.801) [-10685.709] (-10682.772) -- 0:32:56
199000 -- (-10702.504) (-10695.922) [-10680.522] (-10698.257) * (-10684.863) (-10691.942) (-10695.974) [-10686.418] -- 0:32:52
200000 -- (-10703.552) (-10711.663) [-10678.101] (-10709.893) * (-10698.883) (-10688.973) (-10698.866) [-10696.635] -- 0:32:52
Average standard deviation of split frequencies: 0.007048
201000 -- [-10695.202] (-10700.575) (-10686.949) (-10699.194) * (-10689.302) [-10682.118] (-10701.395) (-10686.363) -- 0:32:47
202000 -- (-10696.784) (-10707.105) (-10683.564) [-10683.910] * [-10689.863] (-10685.869) (-10685.539) (-10691.453) -- 0:32:47
203000 -- (-10697.106) (-10698.885) (-10691.533) [-10686.205] * (-10685.085) [-10701.779] (-10696.552) (-10696.946) -- 0:32:43
204000 -- [-10688.102] (-10690.991) (-10685.114) (-10697.009) * (-10690.881) [-10680.372] (-10692.180) (-10695.691) -- 0:32:42
205000 -- (-10690.450) (-10691.584) (-10696.325) [-10687.461] * (-10683.402) (-10689.274) [-10696.897] (-10697.508) -- 0:32:38
Average standard deviation of split frequencies: 0.007899
206000 -- (-10683.534) [-10687.724] (-10691.587) (-10701.245) * (-10679.643) (-10700.131) [-10686.038] (-10711.866) -- 0:32:38
207000 -- [-10689.910] (-10702.079) (-10689.421) (-10703.518) * (-10690.620) [-10688.594] (-10685.919) (-10710.552) -- 0:32:33
208000 -- [-10701.579] (-10687.347) (-10691.069) (-10696.182) * (-10691.406) [-10691.496] (-10694.548) (-10708.760) -- 0:32:33
209000 -- (-10702.599) (-10689.247) (-10702.701) [-10695.554] * (-10687.698) (-10691.470) (-10700.498) [-10685.166] -- 0:32:29
210000 -- (-10696.994) (-10701.918) (-10701.073) [-10690.516] * [-10696.102] (-10702.307) (-10694.617) (-10689.014) -- 0:32:24
Average standard deviation of split frequencies: 0.009095
211000 -- (-10688.201) (-10688.291) (-10696.277) [-10681.540] * (-10697.925) (-10702.987) (-10693.245) [-10685.139] -- 0:32:24
212000 -- (-10693.192) (-10679.297) (-10701.024) [-10683.960] * (-10693.052) [-10678.122] (-10693.018) (-10689.974) -- 0:32:20
213000 -- [-10695.020] (-10694.475) (-10708.679) (-10679.941) * (-10696.807) [-10683.312] (-10696.720) (-10703.121) -- 0:32:19
214000 -- [-10685.442] (-10690.376) (-10705.938) (-10686.891) * (-10694.050) (-10690.941) (-10707.515) [-10686.322] -- 0:32:15
215000 -- (-10680.094) (-10689.699) [-10690.541] (-10704.950) * (-10702.933) (-10695.801) [-10682.511] (-10694.912) -- 0:32:11
Average standard deviation of split frequencies: 0.008519
216000 -- [-10685.573] (-10690.056) (-10697.752) (-10691.194) * (-10700.200) [-10693.604] (-10692.060) (-10696.794) -- 0:32:10
217000 -- [-10680.217] (-10689.458) (-10687.118) (-10688.671) * (-10699.466) [-10687.189] (-10685.263) (-10703.095) -- 0:32:06
218000 -- (-10695.204) (-10691.906) (-10707.482) [-10681.408] * (-10704.450) (-10693.447) [-10690.099] (-10694.971) -- 0:32:06
219000 -- (-10701.217) (-10688.490) [-10695.093] (-10687.935) * (-10691.500) [-10693.050] (-10699.216) (-10688.471) -- 0:32:02
220000 -- (-10687.288) (-10689.682) (-10713.595) [-10697.475] * (-10686.163) [-10699.815] (-10690.360) (-10690.986) -- 0:32:01
Average standard deviation of split frequencies: 0.009027
221000 -- [-10696.174] (-10708.937) (-10705.662) (-10712.380) * (-10683.157) [-10684.553] (-10678.568) (-10679.443) -- 0:31:57
222000 -- (-10698.433) (-10694.897) [-10693.527] (-10683.973) * (-10699.867) [-10688.619] (-10690.574) (-10705.859) -- 0:31:56
223000 -- (-10688.748) (-10695.430) (-10689.714) [-10673.261] * [-10689.410] (-10690.028) (-10702.375) (-10693.205) -- 0:31:52
224000 -- (-10692.152) (-10693.935) [-10684.888] (-10693.877) * (-10691.600) (-10699.550) [-10698.147] (-10694.440) -- 0:31:52
225000 -- (-10692.014) (-10680.648) (-10696.689) [-10687.295] * (-10702.644) (-10681.920) (-10702.940) [-10698.228] -- 0:31:48
Average standard deviation of split frequencies: 0.009712
226000 -- (-10687.385) (-10684.941) [-10692.045] (-10697.201) * (-10701.452) [-10675.278] (-10703.117) (-10701.328) -- 0:31:44
227000 -- [-10675.909] (-10691.710) (-10690.338) (-10692.947) * (-10697.784) (-10689.824) [-10681.640] (-10695.147) -- 0:31:43
228000 -- (-10691.142) (-10705.974) (-10690.135) [-10686.411] * (-10701.603) (-10691.902) [-10693.616] (-10708.529) -- 0:31:39
229000 -- (-10694.907) (-10702.131) (-10690.197) [-10687.214] * (-10682.454) [-10698.674] (-10697.048) (-10697.674) -- 0:31:38
230000 -- (-10683.587) (-10689.068) [-10681.478] (-10685.765) * [-10681.087] (-10682.833) (-10681.785) (-10688.604) -- 0:31:34
Average standard deviation of split frequencies: 0.008966
231000 -- (-10700.033) (-10680.769) (-10693.453) [-10677.922] * (-10679.980) (-10688.490) (-10696.907) [-10686.108] -- 0:31:34
232000 -- (-10686.842) (-10688.960) [-10682.436] (-10681.431) * (-10695.547) (-10687.051) (-10690.355) [-10682.014] -- 0:31:30
233000 -- (-10698.581) (-10690.808) (-10694.002) [-10683.533] * (-10686.275) (-10692.754) [-10686.077] (-10687.308) -- 0:31:29
234000 -- (-10699.175) (-10686.176) [-10685.842] (-10688.332) * [-10678.403] (-10686.426) (-10690.320) (-10689.071) -- 0:31:25
235000 -- (-10680.896) (-10682.889) (-10700.828) [-10694.687] * (-10682.943) (-10699.247) [-10682.076] (-10697.940) -- 0:31:24
Average standard deviation of split frequencies: 0.008570
236000 -- (-10689.672) (-10693.188) (-10684.317) [-10693.239] * (-10705.024) (-10697.330) (-10690.044) [-10702.215] -- 0:31:20
237000 -- (-10692.407) (-10686.585) [-10679.740] (-10694.269) * [-10695.451] (-10689.233) (-10684.097) (-10699.935) -- 0:31:20
238000 -- [-10692.077] (-10697.431) (-10679.921) (-10685.548) * (-10697.236) (-10700.531) [-10680.975] (-10678.029) -- 0:31:16
239000 -- (-10698.210) (-10701.214) [-10680.977] (-10689.507) * (-10705.616) (-10689.445) [-10686.433] (-10701.348) -- 0:31:12
240000 -- (-10702.379) (-10687.442) [-10685.320] (-10688.634) * (-10699.785) [-10684.810] (-10689.759) (-10684.035) -- 0:31:11
Average standard deviation of split frequencies: 0.008530
241000 -- (-10712.134) (-10680.382) (-10684.889) [-10683.565] * (-10683.755) (-10698.525) (-10690.308) [-10677.884] -- 0:31:07
242000 -- (-10704.508) (-10701.564) [-10692.194] (-10689.331) * (-10687.523) [-10693.355] (-10709.237) (-10692.290) -- 0:31:06
243000 -- [-10694.897] (-10695.955) (-10717.331) (-10686.324) * [-10691.131] (-10702.510) (-10696.166) (-10698.522) -- 0:31:02
244000 -- (-10691.998) (-10706.813) (-10714.280) [-10702.651] * [-10684.876] (-10701.492) (-10688.810) (-10702.153) -- 0:31:02
245000 -- [-10674.186] (-10694.788) (-10695.716) (-10683.198) * (-10693.548) (-10695.862) (-10680.757) [-10675.311] -- 0:30:58
Average standard deviation of split frequencies: 0.009643
246000 -- (-10686.527) (-10682.762) (-10704.866) [-10689.645] * (-10714.567) [-10678.238] (-10691.583) (-10678.264) -- 0:30:57
247000 -- [-10692.494] (-10699.889) (-10707.717) (-10698.877) * (-10706.214) (-10694.884) [-10682.372] (-10690.096) -- 0:30:53
248000 -- [-10697.280] (-10698.965) (-10694.465) (-10696.750) * (-10702.981) (-10694.759) (-10692.812) [-10686.006] -- 0:30:49
249000 -- [-10686.579] (-10690.710) (-10704.900) (-10691.745) * [-10681.338] (-10694.463) (-10678.182) (-10689.250) -- 0:30:48
250000 -- (-10692.574) (-10709.993) [-10683.270] (-10696.502) * [-10687.238] (-10695.523) (-10687.480) (-10707.605) -- 0:30:45
Average standard deviation of split frequencies: 0.010131
251000 -- (-10693.814) (-10708.070) [-10684.718] (-10690.817) * (-10695.900) (-10688.835) [-10682.174] (-10702.369) -- 0:30:44
252000 -- (-10704.770) (-10699.347) [-10683.226] (-10693.182) * (-10689.634) (-10675.199) [-10673.359] (-10706.847) -- 0:30:40
253000 -- [-10689.221] (-10693.002) (-10690.826) (-10712.002) * (-10695.718) [-10680.484] (-10685.595) (-10690.475) -- 0:30:39
254000 -- (-10696.188) (-10690.859) [-10684.934] (-10687.748) * (-10710.120) (-10681.715) [-10687.621] (-10685.256) -- 0:30:35
255000 -- (-10705.305) (-10710.746) [-10687.610] (-10697.075) * (-10692.607) [-10687.956] (-10699.846) (-10694.174) -- 0:30:31
Average standard deviation of split frequencies: 0.008910
256000 -- (-10708.085) (-10702.546) [-10689.033] (-10689.972) * (-10700.118) (-10704.801) (-10711.462) [-10673.693] -- 0:30:30
257000 -- (-10692.727) [-10686.312] (-10691.705) (-10691.764) * [-10680.651] (-10692.478) (-10698.660) (-10695.836) -- 0:30:27
258000 -- (-10683.239) (-10705.429) [-10690.682] (-10688.752) * (-10697.001) (-10698.079) (-10693.772) [-10683.357] -- 0:30:26
259000 -- (-10696.081) (-10697.474) (-10696.560) [-10689.205] * (-10694.718) (-10693.245) (-10700.761) [-10682.633] -- 0:30:22
260000 -- (-10699.455) (-10692.198) [-10693.788] (-10692.605) * (-10710.112) (-10702.020) [-10679.474] (-10691.133) -- 0:30:21
Average standard deviation of split frequencies: 0.008459
261000 -- (-10699.481) [-10688.734] (-10687.301) (-10686.351) * (-10687.645) (-10708.448) [-10684.493] (-10690.830) -- 0:30:17
262000 -- (-10687.761) (-10694.075) [-10679.390] (-10702.355) * (-10694.091) [-10692.246] (-10695.850) (-10700.884) -- 0:30:16
263000 -- [-10685.839] (-10692.654) (-10690.861) (-10702.654) * (-10708.005) [-10677.587] (-10691.360) (-10714.432) -- 0:30:13
264000 -- (-10690.644) (-10687.901) [-10690.549] (-10709.792) * (-10701.450) [-10673.937] (-10684.807) (-10693.070) -- 0:30:12
265000 -- (-10690.990) (-10681.757) (-10704.428) [-10693.782] * (-10698.303) (-10677.722) [-10702.010] (-10681.150) -- 0:30:08
Average standard deviation of split frequencies: 0.008861
266000 -- (-10691.789) (-10688.855) (-10695.134) [-10684.694] * (-10698.117) (-10684.893) [-10684.429] (-10685.403) -- 0:30:07
267000 -- (-10690.174) (-10694.408) [-10681.513] (-10679.649) * (-10686.819) (-10702.733) [-10675.412] (-10690.247) -- 0:30:03
268000 -- (-10697.148) [-10688.057] (-10694.371) (-10688.648) * [-10690.536] (-10697.936) (-10690.145) (-10693.649) -- 0:29:59
269000 -- (-10704.161) (-10695.727) (-10692.889) [-10686.923] * (-10704.001) (-10686.870) [-10685.963] (-10679.176) -- 0:29:58
270000 -- (-10698.555) (-10694.543) [-10684.232] (-10699.601) * (-10710.743) (-10693.205) [-10685.497] (-10695.678) -- 0:29:55
Average standard deviation of split frequencies: 0.009633
271000 -- (-10703.491) [-10689.211] (-10695.750) (-10703.915) * [-10686.085] (-10705.163) (-10684.541) (-10684.768) -- 0:29:54
272000 -- (-10691.729) [-10682.066] (-10685.495) (-10682.137) * (-10709.286) (-10679.995) [-10683.013] (-10696.775) -- 0:29:50
273000 -- (-10686.486) (-10682.300) (-10685.185) [-10690.294] * (-10696.524) [-10682.853] (-10689.991) (-10700.700) -- 0:29:49
274000 -- (-10691.631) (-10705.891) [-10689.405] (-10697.794) * (-10701.316) [-10691.073] (-10682.885) (-10695.943) -- 0:29:45
275000 -- (-10721.855) (-10692.495) [-10679.861] (-10706.437) * (-10712.146) (-10690.137) [-10692.841] (-10721.270) -- 0:29:44
Average standard deviation of split frequencies: 0.009554
276000 -- (-10707.914) (-10693.244) [-10686.023] (-10699.036) * [-10684.612] (-10697.234) (-10678.408) (-10713.124) -- 0:29:41
277000 -- (-10698.282) [-10686.485] (-10695.700) (-10693.422) * (-10690.685) (-10691.328) (-10679.577) [-10700.237] -- 0:29:37
278000 -- (-10694.582) (-10706.690) (-10686.950) [-10690.210] * (-10704.009) [-10698.543] (-10697.683) (-10691.620) -- 0:29:36
279000 -- (-10694.082) [-10698.602] (-10686.494) (-10690.099) * (-10705.394) (-10713.517) (-10698.408) [-10686.814] -- 0:29:32
280000 -- (-10701.782) (-10693.084) [-10680.743] (-10697.027) * (-10691.609) (-10700.461) (-10692.784) [-10687.005] -- 0:29:31
Average standard deviation of split frequencies: 0.008818
281000 -- (-10695.503) (-10695.585) [-10685.194] (-10677.767) * (-10688.374) [-10680.887] (-10690.528) (-10698.354) -- 0:29:28
282000 -- [-10688.454] (-10690.313) (-10705.861) (-10684.421) * (-10702.325) [-10675.718] (-10702.966) (-10692.486) -- 0:29:24
283000 -- (-10688.441) [-10679.880] (-10707.824) (-10698.284) * [-10704.611] (-10687.020) (-10694.418) (-10692.899) -- 0:29:23
284000 -- (-10680.968) (-10685.344) [-10687.356] (-10680.440) * [-10682.364] (-10693.899) (-10701.432) (-10686.085) -- 0:29:19
285000 -- (-10696.830) [-10683.975] (-10703.523) (-10691.210) * (-10689.747) (-10692.796) (-10686.796) [-10684.639] -- 0:29:18
Average standard deviation of split frequencies: 0.008756
286000 -- (-10701.635) (-10686.590) (-10692.133) [-10691.000] * (-10691.983) (-10696.635) (-10690.421) [-10680.290] -- 0:29:15
287000 -- (-10696.269) [-10679.989] (-10691.476) (-10689.024) * (-10687.227) (-10692.875) (-10691.741) [-10684.580] -- 0:29:13
288000 -- (-10686.579) [-10680.373] (-10691.136) (-10707.521) * [-10690.395] (-10695.544) (-10693.391) (-10693.180) -- 0:29:10
289000 -- [-10678.385] (-10688.732) (-10702.874) (-10689.989) * [-10692.321] (-10708.362) (-10707.134) (-10690.439) -- 0:29:09
290000 -- (-10688.267) [-10685.006] (-10713.557) (-10688.951) * (-10691.789) (-10686.017) [-10688.426] (-10689.718) -- 0:29:05
Average standard deviation of split frequencies: 0.007795
291000 -- (-10702.928) [-10689.243] (-10691.714) (-10687.308) * (-10685.603) [-10693.638] (-10705.751) (-10684.074) -- 0:29:02
292000 -- (-10704.878) [-10688.133] (-10705.103) (-10711.465) * (-10685.946) (-10702.819) (-10700.037) [-10685.425] -- 0:29:00
293000 -- [-10700.212] (-10695.766) (-10700.169) (-10685.064) * (-10683.412) [-10685.084] (-10700.556) (-10695.264) -- 0:28:57
294000 -- (-10705.387) [-10690.656] (-10692.812) (-10683.211) * [-10687.085] (-10688.307) (-10693.715) (-10687.172) -- 0:28:56
295000 -- (-10697.961) (-10692.616) (-10685.699) [-10691.837] * (-10685.549) (-10691.560) (-10688.009) [-10682.969] -- 0:28:52
Average standard deviation of split frequencies: 0.007603
296000 -- (-10699.179) (-10691.171) (-10687.200) [-10694.291] * [-10686.654] (-10688.160) (-10707.451) (-10692.233) -- 0:28:51
297000 -- (-10691.352) (-10689.394) (-10681.882) [-10693.314] * (-10704.655) (-10689.928) [-10698.291] (-10700.324) -- 0:28:47
298000 -- (-10696.279) (-10688.615) [-10692.717] (-10687.872) * (-10682.446) [-10682.143] (-10690.906) (-10704.426) -- 0:28:46
299000 -- (-10689.871) (-10693.800) (-10693.169) [-10689.442] * [-10694.100] (-10703.378) (-10699.085) (-10700.636) -- 0:28:43
300000 -- (-10701.064) [-10695.667] (-10705.917) (-10698.282) * (-10686.201) [-10695.860] (-10694.412) (-10700.004) -- 0:28:42
Average standard deviation of split frequencies: 0.007839
301000 -- [-10689.523] (-10705.525) (-10698.458) (-10694.964) * (-10697.023) [-10688.000] (-10711.233) (-10692.864) -- 0:28:38
302000 -- (-10706.344) [-10678.418] (-10691.456) (-10706.237) * (-10698.210) (-10687.000) (-10694.169) [-10683.192] -- 0:28:34
303000 -- [-10692.223] (-10692.088) (-10691.857) (-10701.997) * (-10691.081) [-10682.433] (-10695.359) (-10690.990) -- 0:28:33
304000 -- [-10706.315] (-10699.849) (-10688.694) (-10691.856) * (-10680.015) [-10685.717] (-10708.444) (-10703.956) -- 0:28:30
305000 -- (-10697.039) (-10703.579) [-10677.363] (-10701.445) * [-10690.761] (-10700.645) (-10683.713) (-10685.375) -- 0:28:29
Average standard deviation of split frequencies: 0.007951
306000 -- (-10697.389) [-10687.418] (-10698.963) (-10683.009) * (-10679.631) (-10699.536) [-10683.873] (-10694.021) -- 0:28:25
307000 -- (-10679.423) (-10678.237) (-10694.198) [-10681.041] * (-10700.331) (-10694.410) [-10688.715] (-10689.994) -- 0:28:24
308000 -- (-10693.117) (-10688.662) [-10685.996] (-10687.656) * (-10694.877) (-10704.520) (-10682.843) [-10687.855] -- 0:28:20
309000 -- (-10698.646) [-10681.511] (-10688.668) (-10692.557) * (-10707.631) (-10687.273) (-10702.312) [-10679.267] -- 0:28:19
310000 -- (-10690.518) (-10700.087) [-10689.455] (-10697.003) * (-10704.724) [-10693.524] (-10687.687) (-10688.622) -- 0:28:16
Average standard deviation of split frequencies: 0.007734
311000 -- (-10697.933) (-10687.934) [-10691.931] (-10684.461) * (-10690.205) (-10688.262) [-10687.951] (-10700.327) -- 0:28:12
312000 -- [-10680.028] (-10700.885) (-10704.580) (-10695.797) * [-10680.471] (-10686.052) (-10694.717) (-10686.017) -- 0:28:11
313000 -- (-10680.706) (-10698.006) [-10703.741] (-10678.495) * (-10706.836) [-10693.652] (-10695.498) (-10706.356) -- 0:28:07
314000 -- [-10687.017] (-10697.548) (-10691.393) (-10688.711) * (-10692.428) (-10688.034) [-10681.186] (-10701.580) -- 0:28:06
315000 -- [-10684.239] (-10694.830) (-10695.466) (-10684.607) * (-10691.679) (-10697.279) (-10702.525) [-10695.286] -- 0:28:03
Average standard deviation of split frequencies: 0.007796
316000 -- (-10673.213) [-10698.552] (-10692.454) (-10699.493) * (-10693.680) [-10690.506] (-10712.150) (-10686.501) -- 0:28:01
317000 -- (-10677.758) [-10681.755] (-10695.403) (-10698.917) * [-10683.001] (-10685.808) (-10701.282) (-10692.765) -- 0:27:58
318000 -- [-10683.450] (-10704.095) (-10690.872) (-10686.021) * [-10682.258] (-10696.831) (-10679.703) (-10702.067) -- 0:27:57
319000 -- (-10686.302) (-10695.926) (-10689.909) [-10682.392] * [-10683.814] (-10692.581) (-10684.492) (-10689.513) -- 0:27:53
320000 -- (-10698.133) [-10690.416] (-10677.674) (-10691.294) * (-10684.073) (-10704.722) [-10698.610] (-10692.907) -- 0:27:52
Average standard deviation of split frequencies: 0.007113
321000 -- (-10697.476) (-10684.839) [-10686.147] (-10690.577) * [-10688.208] (-10702.639) (-10697.038) (-10691.377) -- 0:27:48
322000 -- (-10704.358) (-10688.487) (-10691.127) [-10676.494] * (-10676.481) (-10698.971) [-10682.804] (-10693.144) -- 0:27:47
323000 -- (-10688.866) (-10697.430) (-10689.314) [-10676.971] * (-10686.382) (-10697.446) [-10683.406] (-10698.258) -- 0:27:44
324000 -- (-10696.119) (-10699.690) (-10694.588) [-10683.660] * (-10686.596) (-10706.590) [-10676.953] (-10706.054) -- 0:27:42
325000 -- (-10707.797) (-10706.559) (-10698.658) [-10682.299] * (-10685.936) (-10697.834) [-10686.311] (-10718.407) -- 0:27:39
Average standard deviation of split frequencies: 0.007650
326000 -- (-10697.102) (-10695.514) (-10701.313) [-10686.672] * [-10682.262] (-10698.774) (-10687.788) (-10701.377) -- 0:27:38
327000 -- (-10691.930) (-10689.626) (-10699.578) [-10683.255] * (-10693.271) [-10678.380] (-10687.624) (-10701.508) -- 0:27:34
328000 -- (-10691.318) (-10686.562) (-10695.603) [-10672.352] * (-10698.452) [-10674.894] (-10704.730) (-10689.498) -- 0:27:33
329000 -- [-10693.341] (-10680.571) (-10684.312) (-10694.109) * [-10684.788] (-10686.040) (-10697.962) (-10707.187) -- 0:27:29
330000 -- [-10690.955] (-10679.771) (-10687.346) (-10701.799) * (-10703.634) [-10693.240] (-10689.053) (-10694.762) -- 0:27:28
Average standard deviation of split frequencies: 0.007220
331000 -- (-10697.855) [-10681.479] (-10693.847) (-10687.918) * (-10678.082) [-10696.601] (-10680.308) (-10705.460) -- 0:27:25
332000 -- (-10689.683) (-10694.847) [-10689.816] (-10691.187) * (-10691.092) (-10700.038) [-10684.809] (-10688.338) -- 0:27:23
333000 -- [-10683.253] (-10683.850) (-10710.070) (-10688.353) * (-10708.796) (-10693.063) (-10688.655) [-10688.275] -- 0:27:22
334000 -- (-10692.866) (-10701.928) (-10685.558) [-10690.931] * (-10705.766) (-10693.711) [-10685.310] (-10689.867) -- 0:27:19
335000 -- (-10692.340) (-10689.560) [-10690.374] (-10700.697) * (-10695.688) (-10698.941) (-10689.484) [-10675.451] -- 0:27:17
Average standard deviation of split frequencies: 0.006789
336000 -- (-10692.104) [-10697.152] (-10699.626) (-10720.798) * (-10694.323) [-10683.820] (-10678.309) (-10696.663) -- 0:27:14
337000 -- (-10705.702) (-10697.366) [-10696.066] (-10684.719) * (-10695.253) [-10693.830] (-10683.528) (-10704.459) -- 0:27:12
338000 -- (-10694.696) (-10693.588) (-10702.098) [-10689.371] * [-10696.168] (-10691.461) (-10695.051) (-10704.479) -- 0:27:09
339000 -- (-10699.731) (-10695.525) [-10696.944] (-10697.345) * (-10700.414) [-10703.045] (-10686.645) (-10696.013) -- 0:27:08
340000 -- (-10699.268) (-10706.361) (-10693.954) [-10686.559] * (-10707.917) [-10680.700] (-10701.334) (-10692.382) -- 0:27:04
Average standard deviation of split frequencies: 0.006740
341000 -- [-10694.211] (-10700.017) (-10679.456) (-10707.334) * (-10696.719) (-10684.206) (-10690.963) [-10683.664] -- 0:27:03
342000 -- (-10698.390) (-10696.698) [-10684.894] (-10694.031) * (-10681.397) (-10694.560) (-10705.918) [-10681.356] -- 0:26:59
343000 -- (-10694.549) (-10698.879) (-10691.713) [-10691.554] * (-10695.193) (-10698.581) (-10687.511) [-10690.890] -- 0:26:58
344000 -- (-10693.517) [-10694.227] (-10697.091) (-10679.408) * (-10714.448) (-10694.460) (-10686.648) [-10688.923] -- 0:26:55
345000 -- (-10688.586) [-10696.919] (-10692.728) (-10696.276) * (-10690.652) (-10696.225) (-10689.935) [-10695.663] -- 0:26:53
Average standard deviation of split frequencies: 0.007691
346000 -- (-10694.609) (-10684.125) [-10695.147] (-10699.808) * (-10698.136) [-10688.566] (-10689.581) (-10705.524) -- 0:26:50
347000 -- (-10709.761) (-10690.891) (-10696.027) [-10693.641] * [-10675.870] (-10687.369) (-10698.954) (-10693.987) -- 0:26:48
348000 -- (-10696.551) (-10691.976) [-10695.608] (-10694.335) * (-10678.460) (-10693.215) (-10683.512) [-10698.170] -- 0:26:45
349000 -- (-10679.347) [-10689.402] (-10704.084) (-10695.734) * (-10700.101) (-10688.011) (-10682.090) [-10687.248] -- 0:26:42
350000 -- (-10692.938) [-10688.809] (-10695.426) (-10697.234) * (-10699.992) [-10696.142] (-10705.309) (-10695.352) -- 0:26:40
Average standard deviation of split frequencies: 0.007415
351000 -- (-10697.558) (-10691.003) (-10705.606) [-10678.810] * (-10690.746) (-10703.432) (-10685.886) [-10685.724] -- 0:26:37
352000 -- (-10697.580) [-10681.294] (-10692.789) (-10687.158) * [-10678.650] (-10694.231) (-10687.232) (-10699.685) -- 0:26:36
353000 -- (-10689.896) [-10685.825] (-10689.104) (-10692.337) * (-10711.595) (-10705.193) [-10691.945] (-10693.675) -- 0:26:32
354000 -- (-10699.345) (-10707.220) (-10692.777) [-10693.494] * (-10694.819) (-10703.150) (-10696.833) [-10680.833] -- 0:26:29
355000 -- (-10691.795) (-10706.095) (-10704.423) [-10691.598] * [-10679.689] (-10687.132) (-10685.125) (-10690.066) -- 0:26:27
Average standard deviation of split frequencies: 0.007731
356000 -- (-10691.622) (-10694.333) (-10683.507) [-10686.262] * [-10682.838] (-10696.130) (-10682.230) (-10696.416) -- 0:26:24
357000 -- (-10697.129) (-10708.356) (-10693.650) [-10696.323] * (-10678.788) (-10699.840) [-10679.081] (-10703.333) -- 0:26:23
358000 -- [-10689.596] (-10700.155) (-10693.798) (-10689.672) * [-10680.285] (-10707.542) (-10690.700) (-10704.127) -- 0:26:19
359000 -- (-10686.636) (-10682.036) [-10702.049] (-10695.090) * [-10693.154] (-10688.737) (-10707.775) (-10688.647) -- 0:26:18
360000 -- (-10690.971) [-10685.014] (-10703.663) (-10679.860) * [-10682.270] (-10682.747) (-10685.714) (-10701.879) -- 0:26:15
Average standard deviation of split frequencies: 0.007125
361000 -- (-10690.913) [-10680.481] (-10688.354) (-10706.722) * [-10687.989] (-10683.342) (-10701.981) (-10689.037) -- 0:26:11
362000 -- (-10691.579) [-10688.913] (-10699.025) (-10684.688) * (-10688.115) [-10688.017] (-10700.384) (-10683.321) -- 0:26:10
363000 -- (-10698.016) [-10674.977] (-10695.515) (-10698.257) * (-10703.017) (-10685.368) (-10699.939) [-10694.122] -- 0:26:07
364000 -- [-10683.871] (-10683.461) (-10699.612) (-10698.170) * (-10705.525) (-10693.201) (-10685.713) [-10691.697] -- 0:26:05
365000 -- [-10677.480] (-10686.893) (-10690.505) (-10702.251) * (-10701.428) [-10681.757] (-10703.542) (-10703.205) -- 0:26:02
Average standard deviation of split frequencies: 0.006731
366000 -- [-10684.245] (-10697.988) (-10699.401) (-10697.710) * (-10695.967) [-10674.186] (-10682.592) (-10689.896) -- 0:26:00
367000 -- (-10692.821) [-10692.346] (-10694.076) (-10695.306) * (-10689.954) [-10683.245] (-10683.061) (-10700.283) -- 0:25:57
368000 -- (-10695.610) [-10688.121] (-10688.913) (-10699.881) * (-10688.378) (-10693.408) (-10689.456) [-10691.567] -- 0:25:55
369000 -- (-10695.107) (-10681.970) [-10690.475] (-10700.330) * [-10685.116] (-10695.575) (-10700.330) (-10699.379) -- 0:25:52
370000 -- (-10695.244) [-10684.244] (-10697.200) (-10694.664) * (-10690.549) (-10703.456) [-10695.857] (-10699.492) -- 0:25:51
Average standard deviation of split frequencies: 0.006359
371000 -- (-10691.925) (-10694.954) (-10688.774) [-10691.480] * [-10679.002] (-10684.002) (-10689.765) (-10694.315) -- 0:25:47
372000 -- (-10695.386) [-10682.884] (-10678.694) (-10684.616) * (-10686.927) [-10691.582] (-10695.797) (-10692.097) -- 0:25:44
373000 -- (-10710.379) (-10677.557) [-10688.630] (-10702.385) * (-10681.668) (-10690.052) (-10692.319) [-10680.049] -- 0:25:43
374000 -- [-10702.178] (-10681.524) (-10688.274) (-10709.228) * [-10683.282] (-10680.090) (-10705.772) (-10700.505) -- 0:25:39
375000 -- (-10699.292) (-10700.377) [-10690.841] (-10695.469) * [-10694.246] (-10692.866) (-10720.620) (-10692.240) -- 0:25:38
Average standard deviation of split frequencies: 0.006350
376000 -- [-10690.959] (-10700.799) (-10685.070) (-10702.177) * (-10681.777) (-10701.237) [-10689.316] (-10686.051) -- 0:25:35
377000 -- (-10710.720) (-10689.878) [-10684.400] (-10695.712) * (-10694.925) (-10692.438) [-10686.282] (-10680.758) -- 0:25:33
378000 -- (-10697.997) [-10679.811] (-10691.863) (-10698.933) * (-10707.568) (-10694.790) [-10684.504] (-10687.268) -- 0:25:30
379000 -- (-10693.545) [-10686.003] (-10701.006) (-10693.848) * (-10712.299) (-10692.435) (-10689.517) [-10689.161] -- 0:25:28
380000 -- [-10687.582] (-10694.112) (-10679.444) (-10694.013) * (-10701.157) [-10695.100] (-10699.915) (-10689.280) -- 0:25:25
Average standard deviation of split frequencies: 0.006991
381000 -- (-10693.139) (-10705.993) (-10691.689) [-10689.435] * (-10697.132) [-10689.961] (-10693.481) (-10694.944) -- 0:25:22
382000 -- (-10689.238) (-10699.475) [-10682.535] (-10704.033) * [-10689.065] (-10700.913) (-10683.694) (-10696.978) -- 0:25:20
383000 -- (-10707.479) (-10707.893) (-10693.597) [-10688.392] * [-10681.867] (-10702.693) (-10706.176) (-10684.133) -- 0:25:17
384000 -- (-10704.277) (-10698.183) (-10682.326) [-10685.839] * (-10682.864) [-10688.693] (-10689.173) (-10691.903) -- 0:25:15
385000 -- (-10701.885) [-10695.504] (-10686.508) (-10690.337) * (-10705.691) (-10703.910) [-10689.213] (-10695.497) -- 0:25:12
Average standard deviation of split frequencies: 0.007446
386000 -- [-10692.966] (-10694.753) (-10688.489) (-10699.402) * (-10699.069) (-10686.467) [-10678.509] (-10676.127) -- 0:25:11
387000 -- (-10695.832) [-10690.672] (-10680.593) (-10694.911) * (-10685.864) (-10701.981) [-10691.803] (-10688.505) -- 0:25:07
388000 -- [-10685.800] (-10692.848) (-10691.860) (-10695.053) * (-10681.186) (-10711.863) (-10691.252) [-10679.519] -- 0:25:04
389000 -- (-10702.940) (-10695.230) (-10700.028) [-10689.048] * (-10686.611) (-10703.621) [-10689.970] (-10702.209) -- 0:25:03
390000 -- (-10690.369) (-10692.936) [-10683.552] (-10686.948) * (-10695.728) [-10690.990] (-10684.285) (-10704.180) -- 0:24:59
Average standard deviation of split frequencies: 0.006656
391000 -- [-10688.177] (-10692.849) (-10696.103) (-10693.311) * [-10685.151] (-10691.744) (-10686.001) (-10696.431) -- 0:24:58
392000 -- (-10698.252) (-10677.862) [-10686.000] (-10716.072) * (-10695.279) [-10700.865] (-10688.044) (-10685.386) -- 0:24:55
393000 -- (-10695.296) [-10693.807] (-10694.986) (-10693.599) * (-10686.060) (-10683.219) [-10697.735] (-10710.714) -- 0:24:52
394000 -- (-10698.828) (-10684.305) [-10680.747] (-10692.621) * (-10685.071) [-10686.947] (-10691.104) (-10702.347) -- 0:24:50
395000 -- (-10699.599) [-10682.037] (-10684.411) (-10695.931) * [-10685.894] (-10688.986) (-10698.624) (-10691.717) -- 0:24:47
Average standard deviation of split frequencies: 0.007104
396000 -- (-10698.895) (-10683.608) (-10685.565) [-10674.244] * (-10680.007) [-10679.924] (-10691.991) (-10706.288) -- 0:24:45
397000 -- (-10695.696) (-10685.126) [-10688.310] (-10685.990) * (-10694.132) [-10687.290] (-10697.139) (-10697.109) -- 0:24:42
398000 -- (-10697.243) [-10685.811] (-10698.028) (-10687.601) * [-10680.398] (-10692.858) (-10697.482) (-10692.252) -- 0:24:40
399000 -- (-10698.963) (-10694.031) [-10688.539] (-10690.090) * [-10684.427] (-10695.313) (-10684.425) (-10691.403) -- 0:24:37
400000 -- (-10694.831) [-10695.486] (-10692.567) (-10705.111) * (-10687.072) [-10687.642] (-10689.821) (-10693.489) -- 0:24:36
Average standard deviation of split frequencies: 0.006490
401000 -- (-10705.250) [-10685.155] (-10702.488) (-10704.087) * (-10692.452) (-10706.827) [-10681.257] (-10688.637) -- 0:24:32
402000 -- (-10698.845) [-10693.287] (-10698.745) (-10688.134) * (-10693.274) [-10677.661] (-10679.126) (-10697.567) -- 0:24:31
403000 -- (-10690.154) (-10694.750) (-10714.147) [-10685.155] * (-10712.173) [-10686.985] (-10695.810) (-10685.766) -- 0:24:28
404000 -- (-10705.975) (-10700.875) (-10702.743) [-10695.404] * (-10703.193) (-10701.358) (-10698.376) [-10681.274] -- 0:24:26
405000 -- [-10696.107] (-10690.068) (-10699.324) (-10690.094) * (-10690.178) [-10693.445] (-10693.488) (-10696.320) -- 0:24:23
Average standard deviation of split frequencies: 0.006330
406000 -- (-10681.935) [-10683.924] (-10698.339) (-10694.325) * (-10693.071) [-10696.995] (-10683.265) (-10710.249) -- 0:24:21
407000 -- (-10686.162) (-10688.263) (-10698.680) [-10688.120] * (-10687.400) (-10688.838) [-10684.766] (-10692.908) -- 0:24:18
408000 -- (-10687.307) (-10700.385) (-10701.074) [-10684.499] * [-10681.658] (-10704.539) (-10690.336) (-10693.373) -- 0:24:16
409000 -- (-10697.092) (-10697.236) (-10678.459) [-10679.476] * (-10687.518) (-10690.890) (-10700.050) [-10687.417] -- 0:24:13
410000 -- [-10688.923] (-10701.653) (-10690.835) (-10695.367) * (-10683.226) (-10700.295) [-10696.212] (-10701.020) -- 0:24:10
Average standard deviation of split frequencies: 0.006258
411000 -- (-10717.469) (-10694.288) (-10686.123) [-10689.004] * (-10691.750) (-10698.549) (-10684.607) [-10684.926] -- 0:24:08
412000 -- (-10711.105) [-10695.181] (-10694.351) (-10696.482) * (-10713.572) (-10693.249) (-10685.013) [-10688.648] -- 0:24:05
413000 -- [-10679.658] (-10684.202) (-10691.474) (-10690.260) * (-10705.369) (-10680.634) [-10680.493] (-10680.817) -- 0:24:04
414000 -- (-10690.406) (-10692.867) [-10682.093] (-10707.099) * [-10691.113] (-10695.613) (-10703.736) (-10687.234) -- 0:24:00
415000 -- (-10700.984) (-10694.560) [-10674.049] (-10691.623) * (-10704.693) (-10693.368) (-10689.975) [-10701.633] -- 0:23:59
Average standard deviation of split frequencies: 0.006799
416000 -- [-10689.742] (-10704.327) (-10696.520) (-10692.314) * [-10686.568] (-10687.793) (-10676.653) (-10699.341) -- 0:23:56
417000 -- (-10692.294) (-10702.357) (-10696.447) [-10689.565] * (-10691.129) (-10692.805) [-10687.625] (-10689.628) -- 0:23:53
418000 -- (-10705.349) [-10689.602] (-10694.879) (-10697.018) * (-10690.516) (-10684.923) [-10684.201] (-10700.609) -- 0:23:51
419000 -- [-10687.437] (-10703.352) (-10690.523) (-10675.325) * (-10704.240) [-10689.760] (-10701.441) (-10698.581) -- 0:23:48
420000 -- (-10689.996) (-10692.208) [-10690.554] (-10682.256) * (-10700.770) (-10687.870) (-10696.926) [-10695.929] -- 0:23:46
Average standard deviation of split frequencies: 0.006254
421000 -- [-10692.219] (-10705.302) (-10690.273) (-10691.161) * (-10700.557) (-10691.340) [-10683.345] (-10693.076) -- 0:23:43
422000 -- (-10692.379) (-10698.607) [-10686.286] (-10689.949) * (-10685.840) (-10692.500) (-10698.355) [-10695.158] -- 0:23:41
423000 -- (-10709.365) (-10683.663) (-10689.618) [-10679.715] * (-10696.929) (-10691.621) [-10689.295] (-10701.244) -- 0:23:38
424000 -- (-10697.917) [-10688.430] (-10697.459) (-10693.164) * (-10687.662) [-10684.702] (-10693.516) (-10689.570) -- 0:23:35
425000 -- [-10694.142] (-10684.184) (-10704.740) (-10684.754) * [-10680.364] (-10689.315) (-10692.566) (-10715.307) -- 0:23:33
Average standard deviation of split frequencies: 0.006390
426000 -- [-10682.329] (-10690.910) (-10682.020) (-10694.289) * (-10692.848) [-10679.245] (-10701.692) (-10702.904) -- 0:23:30
427000 -- (-10680.945) (-10699.029) (-10698.982) [-10686.716] * (-10697.142) [-10695.258] (-10707.801) (-10715.514) -- 0:23:29
428000 -- (-10677.191) [-10689.777] (-10691.428) (-10697.419) * (-10688.994) [-10677.963] (-10685.146) (-10684.294) -- 0:23:25
429000 -- [-10679.864] (-10691.570) (-10686.611) (-10686.385) * (-10704.383) [-10682.421] (-10706.801) (-10687.165) -- 0:23:24
430000 -- (-10677.284) [-10687.644] (-10681.644) (-10700.704) * [-10680.431] (-10685.435) (-10686.645) (-10697.102) -- 0:23:21
Average standard deviation of split frequencies: 0.005544
431000 -- (-10695.888) (-10693.429) [-10681.916] (-10703.396) * [-10689.663] (-10693.707) (-10686.593) (-10707.331) -- 0:23:19
432000 -- (-10689.213) (-10698.943) [-10693.977] (-10707.360) * [-10695.478] (-10704.126) (-10695.243) (-10699.515) -- 0:23:16
433000 -- (-10686.681) (-10681.180) [-10680.753] (-10698.434) * (-10702.911) [-10683.934] (-10697.074) (-10698.456) -- 0:23:14
434000 -- (-10687.046) (-10698.688) [-10690.860] (-10692.715) * (-10687.901) [-10676.080] (-10697.063) (-10695.218) -- 0:23:11
435000 -- (-10688.956) [-10681.014] (-10696.733) (-10693.319) * (-10684.534) (-10700.562) [-10690.490] (-10705.819) -- 0:23:09
Average standard deviation of split frequencies: 0.006383
436000 -- [-10697.165] (-10677.706) (-10700.697) (-10702.751) * (-10686.966) (-10687.087) [-10682.885] (-10695.596) -- 0:23:06
437000 -- (-10696.947) (-10680.454) (-10695.528) [-10680.555] * (-10687.264) (-10691.862) [-10687.781] (-10687.286) -- 0:23:03
438000 -- [-10687.537] (-10689.001) (-10700.910) (-10696.460) * (-10695.046) (-10700.054) [-10688.087] (-10693.227) -- 0:23:01
439000 -- [-10692.184] (-10691.990) (-10684.656) (-10681.534) * (-10690.935) (-10701.690) (-10700.893) [-10683.661] -- 0:22:58
440000 -- (-10680.545) (-10686.355) [-10692.679] (-10697.008) * [-10701.130] (-10689.953) (-10690.449) (-10695.482) -- 0:22:57
Average standard deviation of split frequencies: 0.006142
441000 -- (-10677.976) (-10704.244) (-10687.598) [-10690.597] * (-10696.380) (-10699.788) [-10686.140] (-10690.291) -- 0:22:54
442000 -- (-10685.817) (-10695.270) (-10697.886) [-10692.035] * (-10683.942) [-10699.651] (-10691.538) (-10701.198) -- 0:22:52
443000 -- (-10696.347) [-10695.124] (-10691.269) (-10692.588) * (-10687.425) [-10698.183] (-10694.310) (-10713.974) -- 0:22:49
444000 -- (-10679.349) (-10691.002) [-10691.511] (-10692.355) * (-10681.125) [-10692.193] (-10705.238) (-10706.762) -- 0:22:47
445000 -- [-10693.381] (-10696.755) (-10689.989) (-10683.343) * [-10677.683] (-10688.804) (-10706.029) (-10684.148) -- 0:22:44
Average standard deviation of split frequencies: 0.006001
446000 -- (-10688.850) (-10687.816) (-10693.173) [-10692.593] * (-10683.808) [-10691.480] (-10699.287) (-10680.420) -- 0:22:41
447000 -- (-10697.185) [-10682.404] (-10694.918) (-10699.277) * (-10685.558) (-10697.563) [-10688.361] (-10703.846) -- 0:22:39
448000 -- [-10686.912] (-10693.740) (-10698.768) (-10692.991) * [-10691.751] (-10697.254) (-10690.717) (-10697.927) -- 0:22:36
449000 -- (-10692.335) [-10681.813] (-10691.494) (-10698.503) * [-10691.268] (-10687.417) (-10690.051) (-10696.200) -- 0:22:34
450000 -- [-10681.317] (-10690.877) (-10702.856) (-10703.456) * (-10688.677) (-10706.334) (-10692.483) [-10688.719] -- 0:22:31
Average standard deviation of split frequencies: 0.005770
451000 -- (-10701.696) (-10688.366) (-10684.174) [-10700.916] * [-10689.950] (-10690.088) (-10703.241) (-10700.709) -- 0:22:29
452000 -- [-10685.207] (-10707.290) (-10693.335) (-10702.845) * (-10700.808) [-10679.719] (-10696.528) (-10702.921) -- 0:22:26
453000 -- [-10688.302] (-10692.217) (-10697.645) (-10693.562) * (-10692.127) [-10684.475] (-10680.107) (-10709.489) -- 0:22:25
454000 -- (-10689.600) [-10682.986] (-10691.530) (-10698.176) * (-10688.077) (-10679.728) [-10678.770] (-10690.499) -- 0:22:22
455000 -- (-10686.434) (-10696.623) [-10694.839] (-10700.852) * [-10674.804] (-10689.806) (-10693.225) (-10685.313) -- 0:22:19
Average standard deviation of split frequencies: 0.005569
456000 -- (-10703.326) (-10698.009) (-10680.907) [-10683.693] * [-10684.299] (-10690.909) (-10678.831) (-10693.104) -- 0:22:17
457000 -- (-10706.783) (-10695.894) (-10683.556) [-10685.440] * [-10686.371] (-10686.495) (-10688.964) (-10696.752) -- 0:22:14
458000 -- (-10702.587) [-10694.595] (-10688.270) (-10687.885) * (-10700.760) (-10693.185) [-10677.384] (-10700.887) -- 0:22:12
459000 -- [-10692.340] (-10695.335) (-10691.278) (-10680.737) * (-10691.198) (-10685.769) [-10679.758] (-10691.176) -- 0:22:09
460000 -- (-10696.767) (-10697.345) (-10684.938) [-10687.257] * (-10703.934) (-10700.966) [-10678.760] (-10693.194) -- 0:22:06
Average standard deviation of split frequencies: 0.005216
461000 -- (-10713.492) (-10685.137) (-10683.392) [-10678.412] * [-10697.103] (-10687.444) (-10686.882) (-10688.093) -- 0:22:04
462000 -- (-10706.108) (-10697.629) (-10691.693) [-10681.934] * (-10703.670) [-10691.273] (-10686.345) (-10695.588) -- 0:22:01
463000 -- (-10687.562) (-10709.654) [-10682.894] (-10678.155) * (-10700.593) [-10688.586] (-10686.952) (-10684.087) -- 0:21:59
464000 -- (-10687.354) (-10694.955) [-10678.360] (-10690.633) * (-10695.994) (-10690.009) (-10692.062) [-10685.270] -- 0:21:56
465000 -- (-10703.845) [-10679.364] (-10682.626) (-10685.309) * (-10696.793) (-10691.985) (-10697.353) [-10682.332] -- 0:21:55
Average standard deviation of split frequencies: 0.005058
466000 -- (-10700.143) [-10680.112] (-10681.206) (-10696.596) * (-10700.167) [-10676.852] (-10692.391) (-10682.172) -- 0:21:52
467000 -- (-10687.867) (-10687.297) [-10690.317] (-10702.455) * (-10698.723) [-10688.058] (-10694.287) (-10685.473) -- 0:21:50
468000 -- [-10683.469] (-10686.663) (-10684.750) (-10685.217) * [-10692.947] (-10687.225) (-10680.385) (-10683.939) -- 0:21:47
469000 -- [-10684.097] (-10700.701) (-10697.429) (-10679.628) * [-10688.963] (-10695.953) (-10687.279) (-10702.466) -- 0:21:44
470000 -- (-10687.129) (-10710.059) (-10694.137) [-10679.170] * [-10675.950] (-10697.091) (-10697.686) (-10715.533) -- 0:21:42
Average standard deviation of split frequencies: 0.004943
471000 -- [-10689.253] (-10691.742) (-10700.659) (-10689.332) * [-10683.202] (-10696.202) (-10690.399) (-10706.458) -- 0:21:39
472000 -- [-10692.330] (-10681.375) (-10692.826) (-10678.080) * [-10683.047] (-10696.904) (-10698.745) (-10693.518) -- 0:21:37
473000 -- (-10697.715) (-10706.338) [-10694.508] (-10694.795) * (-10703.405) (-10689.120) [-10679.600] (-10687.360) -- 0:21:34
474000 -- (-10695.339) (-10700.333) (-10687.902) [-10683.775] * [-10688.753] (-10699.003) (-10693.172) (-10696.674) -- 0:21:32
475000 -- (-10692.444) [-10684.473] (-10709.843) (-10691.813) * [-10681.484] (-10699.027) (-10692.435) (-10700.167) -- 0:21:29
Average standard deviation of split frequencies: 0.004696
476000 -- (-10699.233) (-10685.610) (-10698.767) [-10682.409] * (-10693.199) [-10690.260] (-10681.897) (-10695.778) -- 0:21:27
477000 -- (-10694.927) [-10693.355] (-10693.338) (-10698.348) * (-10692.225) [-10694.762] (-10706.244) (-10694.431) -- 0:21:25
478000 -- (-10695.425) [-10688.076] (-10709.812) (-10687.152) * [-10687.587] (-10691.661) (-10684.804) (-10700.584) -- 0:21:22
479000 -- (-10693.953) (-10685.709) (-10691.653) [-10684.448] * (-10682.059) (-10711.431) [-10683.509] (-10703.292) -- 0:21:20
480000 -- (-10700.248) (-10683.088) [-10672.068] (-10698.845) * [-10690.902] (-10702.507) (-10683.480) (-10688.201) -- 0:21:17
Average standard deviation of split frequencies: 0.003828
481000 -- [-10690.395] (-10694.905) (-10684.787) (-10682.112) * (-10687.142) (-10706.596) (-10693.991) [-10697.934] -- 0:21:15
482000 -- [-10699.274] (-10696.303) (-10699.081) (-10686.527) * [-10690.984] (-10708.571) (-10693.119) (-10706.876) -- 0:21:12
483000 -- [-10695.339] (-10690.155) (-10684.837) (-10706.041) * [-10681.745] (-10705.980) (-10689.574) (-10702.290) -- 0:21:10
484000 -- (-10694.523) (-10689.456) (-10690.955) [-10684.982] * [-10686.036] (-10705.135) (-10700.740) (-10691.354) -- 0:21:07
485000 -- (-10701.148) (-10691.706) [-10684.450] (-10686.403) * (-10697.552) (-10690.102) (-10698.628) [-10684.839] -- 0:21:05
Average standard deviation of split frequencies: 0.002972
486000 -- (-10695.331) (-10687.499) (-10699.385) [-10705.982] * (-10689.353) [-10682.736] (-10698.848) (-10696.958) -- 0:21:02
487000 -- [-10680.213] (-10691.497) (-10694.445) (-10697.349) * (-10692.723) (-10696.903) (-10690.730) [-10693.124] -- 0:20:59
488000 -- (-10686.314) [-10689.497] (-10706.801) (-10710.267) * (-10689.976) (-10685.491) [-10685.619] (-10698.458) -- 0:20:57
489000 -- (-10685.918) (-10694.152) [-10687.231] (-10707.105) * [-10688.581] (-10695.286) (-10699.482) (-10691.321) -- 0:20:55
490000 -- [-10684.387] (-10699.272) (-10688.695) (-10694.532) * (-10687.980) (-10697.134) [-10696.132] (-10693.109) -- 0:20:53
Average standard deviation of split frequencies: 0.002045
491000 -- [-10690.545] (-10695.266) (-10687.206) (-10696.209) * (-10691.276) [-10681.517] (-10711.561) (-10713.408) -- 0:20:50
492000 -- [-10690.792] (-10700.381) (-10683.253) (-10699.650) * [-10692.361] (-10705.002) (-10691.567) (-10684.083) -- 0:20:47
493000 -- (-10678.604) (-10695.635) [-10689.387] (-10699.098) * [-10680.814] (-10691.919) (-10709.577) (-10695.285) -- 0:20:45
494000 -- [-10688.515] (-10702.290) (-10694.018) (-10700.164) * (-10692.742) (-10685.209) (-10689.726) [-10680.044] -- 0:20:42
495000 -- [-10696.987] (-10712.776) (-10692.162) (-10710.730) * (-10696.398) (-10693.978) [-10688.421] (-10689.403) -- 0:20:40
Average standard deviation of split frequencies: 0.001778
496000 -- (-10691.214) [-10686.612] (-10683.315) (-10710.926) * (-10701.202) [-10691.096] (-10695.917) (-10682.592) -- 0:20:37
497000 -- (-10709.776) (-10692.071) (-10689.394) [-10678.959] * (-10699.179) (-10693.698) (-10690.693) [-10674.909] -- 0:20:35
498000 -- (-10698.022) [-10684.867] (-10697.495) (-10681.573) * [-10685.764] (-10696.346) (-10693.647) (-10704.432) -- 0:20:32
499000 -- (-10693.739) [-10699.880] (-10695.326) (-10696.061) * (-10688.673) [-10692.606] (-10683.689) (-10684.934) -- 0:20:29
500000 -- [-10681.595] (-10693.074) (-10700.992) (-10683.058) * (-10685.301) (-10692.380) [-10681.285] (-10697.512) -- 0:20:28
Average standard deviation of split frequencies: 0.002248
501000 -- [-10690.060] (-10691.931) (-10701.799) (-10696.477) * [-10688.803] (-10694.745) (-10692.143) (-10687.238) -- 0:20:25
502000 -- (-10701.124) [-10684.094] (-10695.279) (-10697.577) * (-10700.208) (-10688.445) (-10691.128) [-10682.302] -- 0:20:23
503000 -- (-10681.571) (-10690.103) (-10699.183) [-10695.402] * (-10696.289) [-10678.853] (-10705.689) (-10709.802) -- 0:20:21
504000 -- (-10689.112) (-10676.176) (-10690.407) [-10697.923] * (-10694.582) (-10702.658) (-10684.002) [-10683.785] -- 0:20:18
505000 -- (-10700.517) (-10692.964) [-10688.778] (-10693.905) * [-10680.146] (-10693.892) (-10689.883) (-10693.367) -- 0:20:16
Average standard deviation of split frequencies: 0.002014
506000 -- (-10696.262) (-10689.312) (-10688.853) [-10691.587] * [-10685.195] (-10698.505) (-10687.649) (-10691.454) -- 0:20:13
507000 -- (-10711.982) (-10702.030) [-10677.743] (-10691.916) * (-10690.855) (-10699.380) [-10682.823] (-10713.953) -- 0:20:11
508000 -- (-10704.524) (-10693.184) (-10686.516) [-10682.008] * [-10682.683] (-10696.997) (-10681.170) (-10704.409) -- 0:20:08
509000 -- (-10700.670) (-10704.443) (-10695.289) [-10694.986] * [-10685.115] (-10695.457) (-10696.233) (-10706.431) -- 0:20:06
510000 -- (-10697.288) (-10698.456) (-10695.466) [-10691.283] * [-10690.766] (-10705.714) (-10693.883) (-10696.224) -- 0:20:03
Average standard deviation of split frequencies: 0.001936
511000 -- (-10680.130) [-10682.408] (-10699.120) (-10705.497) * [-10686.477] (-10701.398) (-10700.279) (-10705.568) -- 0:20:01
512000 -- (-10683.233) [-10676.835] (-10691.912) (-10715.199) * (-10703.620) (-10694.003) [-10690.415] (-10685.502) -- 0:19:59
513000 -- [-10697.137] (-10710.261) (-10692.901) (-10687.548) * (-10695.946) [-10690.517] (-10700.484) (-10692.921) -- 0:19:57
514000 -- [-10689.501] (-10697.961) (-10700.661) (-10694.385) * [-10679.845] (-10694.996) (-10705.882) (-10689.829) -- 0:19:54
515000 -- (-10689.900) (-10682.043) [-10694.696] (-10680.447) * (-10693.349) (-10685.134) [-10689.102] (-10694.570) -- 0:19:52
Average standard deviation of split frequencies: 0.002092
516000 -- (-10701.052) [-10677.197] (-10700.028) (-10687.492) * [-10677.542] (-10686.710) (-10702.867) (-10693.989) -- 0:19:49
517000 -- (-10702.262) (-10685.937) [-10690.113] (-10683.785) * (-10691.130) [-10682.907] (-10690.332) (-10697.705) -- 0:19:47
518000 -- (-10709.398) (-10687.868) (-10685.848) [-10688.099] * (-10683.599) (-10691.471) [-10686.011] (-10698.598) -- 0:19:44
519000 -- (-10705.438) [-10677.005] (-10683.672) (-10695.442) * (-10692.381) (-10703.094) [-10690.117] (-10689.161) -- 0:19:42
520000 -- (-10686.186) [-10691.741] (-10687.793) (-10686.165) * [-10695.341] (-10702.549) (-10687.777) (-10709.240) -- 0:19:40
Average standard deviation of split frequencies: 0.001986
521000 -- (-10688.905) (-10697.548) (-10703.515) [-10677.848] * [-10695.864] (-10692.710) (-10700.899) (-10702.223) -- 0:19:37
522000 -- (-10703.402) (-10692.141) [-10683.995] (-10691.431) * (-10689.464) [-10685.324] (-10697.950) (-10693.101) -- 0:19:35
523000 -- (-10694.467) (-10702.391) (-10699.441) [-10694.855] * [-10682.664] (-10690.314) (-10706.690) (-10689.334) -- 0:19:32
524000 -- (-10694.370) (-10689.796) [-10679.278] (-10695.091) * (-10693.741) (-10691.020) [-10689.016] (-10691.369) -- 0:19:30
525000 -- (-10688.022) (-10692.234) [-10688.136] (-10694.233) * [-10682.848] (-10690.021) (-10700.716) (-10702.865) -- 0:19:28
Average standard deviation of split frequencies: 0.002139
526000 -- (-10714.070) [-10699.132] (-10684.497) (-10686.638) * [-10691.264] (-10700.719) (-10703.743) (-10700.108) -- 0:19:26
527000 -- [-10698.922] (-10707.434) (-10690.346) (-10691.839) * (-10689.809) [-10683.171] (-10709.303) (-10684.483) -- 0:19:23
528000 -- [-10684.861] (-10693.740) (-10704.083) (-10698.179) * (-10697.192) (-10688.489) (-10696.821) [-10698.694] -- 0:19:20
529000 -- (-10691.468) (-10704.626) (-10696.583) [-10676.555] * (-10685.908) (-10701.966) [-10691.322] (-10700.111) -- 0:19:18
530000 -- (-10685.708) (-10718.823) (-10683.920) [-10681.252] * [-10692.612] (-10696.302) (-10697.196) (-10687.865) -- 0:19:15
Average standard deviation of split frequencies: 0.001719
531000 -- [-10675.225] (-10710.411) (-10688.947) (-10685.839) * [-10685.389] (-10708.794) (-10694.914) (-10683.777) -- 0:19:13
532000 -- (-10691.661) [-10691.126] (-10707.743) (-10702.350) * (-10705.813) (-10695.859) (-10690.661) [-10694.902] -- 0:19:10
533000 -- [-10684.913] (-10691.477) (-10689.645) (-10697.032) * (-10693.128) (-10698.443) (-10699.769) [-10691.542] -- 0:19:07
534000 -- (-10685.970) [-10688.564] (-10702.465) (-10708.371) * (-10686.496) (-10692.523) [-10689.134] (-10704.753) -- 0:19:05
535000 -- [-10687.347] (-10702.516) (-10693.619) (-10703.726) * (-10697.311) (-10683.879) (-10696.696) [-10703.303] -- 0:19:02
Average standard deviation of split frequencies: 0.002156
536000 -- [-10685.679] (-10702.656) (-10704.419) (-10679.070) * [-10676.163] (-10677.999) (-10689.240) (-10696.267) -- 0:19:00
537000 -- (-10698.290) (-10699.350) (-10684.423) [-10687.788] * (-10692.241) [-10690.850] (-10695.966) (-10690.754) -- 0:18:58
538000 -- (-10702.182) (-10689.769) [-10675.385] (-10695.098) * (-10688.052) (-10686.880) [-10682.539] (-10706.039) -- 0:18:56
539000 -- (-10695.014) (-10692.203) [-10678.180] (-10703.806) * [-10687.051] (-10692.607) (-10689.104) (-10712.233) -- 0:18:53
540000 -- (-10700.735) (-10697.195) (-10684.870) [-10685.055] * (-10691.575) (-10700.030) [-10693.021] (-10699.969) -- 0:18:51
Average standard deviation of split frequencies: 0.002306
541000 -- (-10684.695) (-10693.278) [-10689.693] (-10691.446) * [-10685.135] (-10689.285) (-10683.012) (-10696.853) -- 0:18:48
542000 -- (-10699.841) (-10695.247) [-10689.780] (-10682.567) * (-10692.617) (-10691.463) (-10687.327) [-10679.126] -- 0:18:46
543000 -- (-10692.294) [-10687.605] (-10702.162) (-10685.830) * (-10695.838) (-10703.891) [-10679.570] (-10686.561) -- 0:18:43
544000 -- (-10686.011) (-10696.605) (-10694.903) [-10690.079] * (-10704.457) (-10691.635) (-10699.183) [-10694.416] -- 0:18:40
545000 -- (-10690.214) (-10696.426) (-10689.196) [-10690.767] * [-10680.635] (-10701.966) (-10695.168) (-10693.797) -- 0:18:38
Average standard deviation of split frequencies: 0.002534
546000 -- (-10694.275) (-10696.020) (-10684.661) [-10687.796] * [-10691.818] (-10698.480) (-10710.648) (-10691.321) -- 0:18:36
547000 -- (-10720.653) [-10677.125] (-10691.512) (-10689.829) * [-10678.344] (-10694.932) (-10702.323) (-10679.707) -- 0:18:33
548000 -- (-10697.255) [-10681.255] (-10681.727) (-10698.780) * [-10685.196] (-10701.017) (-10702.266) (-10687.462) -- 0:18:31
549000 -- (-10695.431) (-10684.292) [-10694.478] (-10690.553) * [-10683.316] (-10695.883) (-10700.595) (-10692.464) -- 0:18:29
550000 -- (-10701.087) (-10679.658) (-10707.979) [-10685.975] * (-10682.046) (-10690.340) (-10691.496) [-10697.913] -- 0:18:27
Average standard deviation of split frequencies: 0.002430
551000 -- (-10707.276) [-10683.661] (-10703.489) (-10682.640) * [-10683.766] (-10709.327) (-10696.129) (-10696.730) -- 0:18:24
552000 -- (-10699.294) (-10691.855) [-10679.731] (-10701.165) * (-10685.730) (-10697.502) (-10694.402) [-10685.772] -- 0:18:21
553000 -- (-10701.178) [-10693.933] (-10689.917) (-10692.993) * (-10706.412) [-10683.506] (-10698.628) (-10696.872) -- 0:18:19
554000 -- (-10690.189) (-10691.076) (-10689.610) [-10698.713] * (-10689.848) (-10708.806) (-10691.948) [-10693.666] -- 0:18:16
555000 -- (-10695.106) [-10691.791] (-10679.731) (-10701.558) * (-10691.603) (-10685.411) [-10689.039] (-10703.934) -- 0:18:14
Average standard deviation of split frequencies: 0.002708
556000 -- (-10698.396) (-10702.065) (-10688.121) [-10688.443] * (-10699.737) (-10684.687) [-10691.535] (-10698.684) -- 0:18:11
557000 -- (-10682.786) (-10714.427) [-10684.847] (-10711.962) * (-10713.422) [-10684.687] (-10696.179) (-10684.553) -- 0:18:09
558000 -- [-10685.276] (-10686.831) (-10692.508) (-10684.882) * (-10713.651) (-10690.641) (-10695.123) [-10680.075] -- 0:18:06
559000 -- [-10686.787] (-10686.073) (-10685.774) (-10704.929) * [-10685.584] (-10690.897) (-10698.618) (-10685.941) -- 0:18:03
560000 -- (-10692.526) (-10689.843) [-10683.683] (-10692.013) * (-10684.521) (-10699.394) [-10689.903] (-10691.420) -- 0:18:01
Average standard deviation of split frequencies: 0.002821
561000 -- [-10688.710] (-10683.927) (-10702.604) (-10692.525) * (-10692.838) (-10695.254) [-10700.934] (-10702.333) -- 0:17:59
562000 -- [-10688.617] (-10695.552) (-10696.965) (-10707.878) * (-10692.517) (-10689.080) [-10691.071] (-10706.929) -- 0:17:57
563000 -- (-10700.095) [-10688.024] (-10702.853) (-10686.735) * (-10701.670) (-10692.929) [-10679.521] (-10689.064) -- 0:17:54
564000 -- (-10686.570) (-10707.417) (-10686.189) [-10690.090] * (-10704.712) [-10688.043] (-10684.047) (-10689.206) -- 0:17:52
565000 -- [-10682.398] (-10702.795) (-10696.206) (-10698.669) * (-10697.590) (-10705.947) (-10690.366) [-10689.370] -- 0:17:49
Average standard deviation of split frequencies: 0.002149
566000 -- (-10694.071) (-10691.536) [-10697.889] (-10711.646) * (-10686.899) [-10681.161] (-10702.281) (-10690.779) -- 0:17:46
567000 -- (-10703.921) [-10684.486] (-10707.962) (-10681.027) * (-10698.080) (-10709.487) [-10679.567] (-10690.997) -- 0:17:44
568000 -- (-10697.450) (-10685.097) (-10713.070) [-10687.522] * (-10696.085) (-10704.611) [-10687.436] (-10691.032) -- 0:17:41
569000 -- (-10695.867) (-10691.959) [-10689.720] (-10685.975) * (-10687.736) (-10709.509) (-10688.168) [-10681.830] -- 0:17:39
570000 -- (-10687.224) (-10694.624) [-10683.732] (-10679.394) * (-10684.659) [-10677.888] (-10694.336) (-10699.528) -- 0:17:36
Average standard deviation of split frequencies: 0.002292
571000 -- (-10694.678) [-10684.019] (-10692.936) (-10697.997) * (-10691.295) [-10682.814] (-10689.923) (-10698.247) -- 0:17:34
572000 -- (-10701.623) [-10684.741] (-10685.644) (-10696.898) * (-10685.834) (-10697.803) (-10686.082) [-10680.918] -- 0:17:32
573000 -- (-10696.576) (-10700.099) [-10686.268] (-10704.000) * (-10679.727) (-10695.863) (-10692.473) [-10682.605] -- 0:17:29
574000 -- [-10691.148] (-10700.290) (-10692.682) (-10712.117) * [-10685.027] (-10693.692) (-10693.471) (-10690.457) -- 0:17:27
575000 -- [-10684.039] (-10680.993) (-10702.217) (-10705.723) * (-10686.876) [-10693.527] (-10685.699) (-10681.029) -- 0:17:25
Average standard deviation of split frequencies: 0.002033
576000 -- (-10683.557) [-10684.107] (-10705.776) (-10711.088) * [-10688.049] (-10691.860) (-10702.900) (-10680.669) -- 0:17:22
577000 -- [-10681.771] (-10689.339) (-10695.007) (-10703.040) * (-10688.137) [-10693.991] (-10689.490) (-10699.434) -- 0:17:19
578000 -- (-10681.806) [-10686.961] (-10691.125) (-10687.013) * (-10681.789) [-10686.750] (-10694.048) (-10703.869) -- 0:17:17
579000 -- (-10712.506) [-10683.526] (-10693.640) (-10702.208) * [-10680.291] (-10692.556) (-10696.888) (-10688.482) -- 0:17:14
580000 -- [-10689.316] (-10683.785) (-10697.910) (-10707.975) * (-10687.956) (-10686.613) (-10693.718) [-10683.665] -- 0:17:12
Average standard deviation of split frequencies: 0.001859
581000 -- (-10707.715) [-10692.228] (-10709.718) (-10693.580) * (-10688.690) [-10695.382] (-10684.704) (-10705.237) -- 0:17:09
582000 -- (-10690.069) (-10693.735) (-10695.989) [-10690.382] * (-10690.383) [-10682.600] (-10694.931) (-10697.296) -- 0:17:07
583000 -- (-10688.929) (-10695.640) (-10688.311) [-10682.828] * [-10688.429] (-10681.149) (-10693.007) (-10684.569) -- 0:17:04
584000 -- (-10684.905) (-10691.695) (-10700.477) [-10682.623] * [-10697.185] (-10679.965) (-10703.259) (-10710.147) -- 0:17:02
585000 -- [-10683.189] (-10706.794) (-10692.361) (-10683.061) * (-10697.715) [-10675.558] (-10702.056) (-10685.773) -- 0:17:00
Average standard deviation of split frequencies: 0.001998
586000 -- (-10684.299) [-10684.752] (-10696.994) (-10692.569) * (-10690.519) [-10681.492] (-10692.605) (-10701.096) -- 0:16:58
587000 -- (-10692.187) (-10683.564) [-10683.682] (-10677.922) * [-10692.118] (-10711.529) (-10687.185) (-10678.568) -- 0:16:55
588000 -- (-10677.288) (-10699.674) (-10696.475) [-10676.773] * (-10700.753) (-10714.184) [-10686.499] (-10682.974) -- 0:16:53
589000 -- (-10696.140) (-10703.786) [-10690.643] (-10701.569) * (-10702.681) (-10706.733) (-10693.957) [-10686.125] -- 0:16:50
590000 -- (-10685.099) (-10706.798) [-10690.566] (-10693.587) * [-10687.134] (-10693.684) (-10690.994) (-10696.506) -- 0:16:47
Average standard deviation of split frequencies: 0.001802
591000 -- (-10679.301) (-10700.444) (-10706.480) [-10698.978] * (-10698.348) (-10682.062) [-10686.146] (-10691.217) -- 0:16:45
592000 -- (-10694.278) (-10695.033) [-10690.602] (-10715.470) * [-10682.784] (-10692.780) (-10688.342) (-10694.566) -- 0:16:42
593000 -- (-10697.447) (-10698.057) [-10689.749] (-10700.878) * (-10687.972) [-10685.183] (-10690.829) (-10692.063) -- 0:16:40
594000 -- (-10692.580) (-10688.955) (-10683.800) [-10684.126] * (-10691.883) (-10709.402) [-10686.189] (-10692.423) -- 0:16:37
595000 -- (-10686.410) (-10694.953) (-10684.135) [-10695.598] * (-10687.776) (-10695.895) (-10682.796) [-10677.405] -- 0:16:35
Average standard deviation of split frequencies: 0.001556
596000 -- (-10698.714) [-10685.071] (-10694.797) (-10681.646) * [-10684.090] (-10701.821) (-10687.508) (-10691.837) -- 0:16:33
597000 -- (-10707.362) (-10706.423) (-10688.121) [-10692.310] * (-10708.239) [-10690.392] (-10696.342) (-10695.369) -- 0:16:30
598000 -- (-10701.138) [-10687.377] (-10699.408) (-10682.901) * [-10703.342] (-10698.548) (-10682.668) (-10691.384) -- 0:16:28
599000 -- (-10694.407) (-10695.314) (-10690.426) [-10678.977] * [-10690.433] (-10688.319) (-10683.505) (-10683.328) -- 0:16:25
600000 -- (-10690.270) (-10717.164) (-10702.133) [-10684.870] * (-10698.035) [-10688.269] (-10701.697) (-10691.188) -- 0:16:23
Average standard deviation of split frequencies: 0.001114
601000 -- [-10683.198] (-10708.554) (-10685.016) (-10688.393) * (-10688.150) (-10686.952) (-10707.173) [-10690.749] -- 0:16:20
602000 -- [-10693.508] (-10710.186) (-10689.851) (-10688.376) * (-10679.162) [-10687.914] (-10694.161) (-10701.534) -- 0:16:18
603000 -- (-10701.846) (-10693.325) [-10688.887] (-10682.065) * (-10689.864) [-10686.969] (-10691.976) (-10692.904) -- 0:16:15
604000 -- (-10688.359) (-10695.954) (-10695.059) [-10677.585] * (-10700.387) (-10700.892) [-10685.042] (-10687.733) -- 0:16:13
605000 -- (-10700.423) (-10691.011) [-10689.272] (-10678.840) * (-10682.967) [-10681.378] (-10689.489) (-10699.582) -- 0:16:10
Average standard deviation of split frequencies: 0.001255
606000 -- (-10690.548) (-10693.142) (-10679.886) [-10686.923] * (-10692.917) [-10690.715] (-10683.404) (-10703.688) -- 0:16:08
607000 -- (-10694.014) (-10689.889) [-10684.882] (-10689.145) * (-10693.190) (-10692.046) [-10683.489] (-10712.880) -- 0:16:05
608000 -- (-10695.718) (-10696.323) [-10694.017] (-10690.734) * (-10693.808) (-10688.887) [-10680.925] (-10694.311) -- 0:16:03
609000 -- (-10702.801) (-10699.728) [-10685.746] (-10693.786) * (-10699.879) (-10695.100) [-10682.341] (-10693.571) -- 0:16:01
610000 -- (-10683.370) (-10710.804) [-10686.460] (-10694.029) * [-10688.405] (-10695.805) (-10684.086) (-10696.975) -- 0:15:58
Average standard deviation of split frequencies: 0.001096
611000 -- (-10688.275) (-10705.141) (-10697.663) [-10696.540] * (-10684.074) (-10713.247) (-10703.849) [-10690.732] -- 0:15:56
612000 -- (-10690.119) (-10692.819) (-10706.602) [-10677.320] * (-10693.986) [-10690.625] (-10690.409) (-10699.806) -- 0:15:53
613000 -- (-10690.738) (-10707.797) (-10681.389) [-10681.014] * [-10680.880] (-10698.422) (-10703.752) (-10699.234) -- 0:15:51
614000 -- (-10685.094) (-10698.661) [-10683.654] (-10698.774) * (-10697.889) (-10690.453) [-10690.980] (-10679.700) -- 0:15:48
615000 -- (-10680.704) [-10693.227] (-10689.071) (-10696.642) * (-10704.980) (-10700.878) [-10687.439] (-10683.972) -- 0:15:46
Average standard deviation of split frequencies: 0.001185
616000 -- [-10682.163] (-10686.364) (-10692.164) (-10687.711) * (-10688.348) (-10692.670) (-10705.371) [-10678.098] -- 0:15:43
617000 -- [-10688.700] (-10688.537) (-10678.818) (-10700.768) * (-10683.616) (-10701.438) (-10681.923) [-10683.290] -- 0:15:41
618000 -- (-10687.339) (-10685.483) [-10687.202] (-10687.820) * (-10684.397) (-10693.070) (-10700.267) [-10687.656] -- 0:15:38
619000 -- (-10694.259) [-10679.386] (-10696.819) (-10695.804) * (-10688.179) [-10688.895] (-10701.189) (-10708.211) -- 0:15:36
620000 -- (-10704.805) (-10697.126) (-10693.705) [-10695.898] * [-10673.618] (-10686.730) (-10694.078) (-10699.308) -- 0:15:34
Average standard deviation of split frequencies: 0.001397
621000 -- (-10702.010) [-10683.811] (-10693.332) (-10698.371) * (-10680.470) [-10690.884] (-10701.650) (-10707.914) -- 0:15:31
622000 -- (-10685.385) (-10703.426) [-10681.662] (-10690.295) * (-10699.126) [-10685.633] (-10693.289) (-10687.203) -- 0:15:29
623000 -- [-10693.477] (-10693.428) (-10688.694) (-10706.850) * (-10696.361) (-10685.285) [-10691.333] (-10692.444) -- 0:15:27
624000 -- (-10692.637) (-10704.253) (-10695.009) [-10688.701] * [-10693.209] (-10695.868) (-10720.399) (-10683.177) -- 0:15:24
625000 -- [-10683.266] (-10697.757) (-10685.545) (-10691.985) * (-10698.530) (-10701.473) (-10699.396) [-10682.587] -- 0:15:22
Average standard deviation of split frequencies: 0.001360
626000 -- (-10684.742) (-10691.342) [-10691.288] (-10688.856) * [-10702.364] (-10689.620) (-10703.187) (-10701.047) -- 0:15:19
627000 -- (-10694.831) (-10686.154) [-10695.654] (-10692.399) * (-10690.479) (-10689.012) (-10682.297) [-10677.173] -- 0:15:16
628000 -- (-10695.392) (-10700.218) [-10701.951] (-10686.745) * [-10689.474] (-10693.295) (-10696.692) (-10692.256) -- 0:15:14
629000 -- (-10696.840) [-10689.185] (-10702.597) (-10691.251) * (-10706.781) (-10695.846) [-10692.067] (-10697.376) -- 0:15:11
630000 -- (-10687.734) [-10678.619] (-10697.990) (-10697.145) * (-10701.351) (-10693.076) (-10709.923) [-10682.348] -- 0:15:09
Average standard deviation of split frequencies: 0.001736
631000 -- (-10700.738) (-10696.937) (-10691.944) [-10694.765] * (-10699.651) (-10691.374) (-10701.712) [-10690.235] -- 0:15:07
632000 -- (-10688.570) (-10712.856) (-10702.983) [-10685.602] * [-10690.504] (-10693.942) (-10699.561) (-10697.741) -- 0:15:04
633000 -- (-10688.312) (-10710.552) (-10694.130) [-10686.017] * [-10679.175] (-10697.979) (-10706.153) (-10715.697) -- 0:15:02
634000 -- (-10684.677) [-10687.484] (-10709.245) (-10681.150) * (-10684.634) (-10688.982) (-10689.823) [-10689.510] -- 0:14:59
635000 -- (-10690.923) [-10683.772] (-10702.559) (-10705.471) * (-10680.390) [-10680.199] (-10697.133) (-10715.270) -- 0:14:57
Average standard deviation of split frequencies: 0.001913
636000 -- (-10706.101) [-10680.510] (-10686.188) (-10675.685) * (-10696.869) (-10690.542) [-10692.056] (-10694.411) -- 0:14:55
637000 -- (-10701.238) (-10695.727) [-10685.133] (-10691.876) * (-10706.714) (-10683.387) [-10685.726] (-10700.044) -- 0:14:52
638000 -- (-10686.123) (-10685.465) (-10699.251) [-10680.736] * (-10699.465) [-10672.493] (-10701.701) (-10702.157) -- 0:14:49
639000 -- [-10680.925] (-10685.484) (-10701.262) (-10689.688) * (-10707.842) (-10690.820) (-10692.680) [-10683.066] -- 0:14:47
640000 -- [-10678.114] (-10702.795) (-10693.676) (-10704.415) * [-10705.327] (-10704.490) (-10712.256) (-10695.796) -- 0:14:45
Average standard deviation of split frequencies: 0.002065
641000 -- (-10684.024) (-10710.498) [-10689.710] (-10707.831) * [-10697.572] (-10691.236) (-10695.768) (-10702.189) -- 0:14:42
642000 -- [-10684.559] (-10693.076) (-10692.408) (-10701.845) * (-10699.552) [-10690.501] (-10690.637) (-10691.810) -- 0:14:39
643000 -- (-10697.759) (-10687.787) [-10692.264] (-10695.824) * (-10682.884) (-10697.725) [-10682.954] (-10680.289) -- 0:14:37
644000 -- (-10684.276) (-10691.756) [-10690.855] (-10700.970) * (-10686.353) (-10678.773) (-10685.547) [-10690.151] -- 0:14:35
645000 -- (-10689.381) (-10686.142) [-10682.530] (-10709.175) * (-10683.685) [-10687.991] (-10700.657) (-10697.645) -- 0:14:32
Average standard deviation of split frequencies: 0.002001
646000 -- (-10684.557) (-10693.753) (-10697.506) [-10693.166] * (-10685.972) [-10679.980] (-10700.382) (-10705.231) -- 0:14:30
647000 -- [-10687.171] (-10687.941) (-10693.218) (-10704.199) * (-10704.571) [-10683.132] (-10692.137) (-10684.480) -- 0:14:28
648000 -- (-10692.283) (-10693.282) (-10686.302) [-10681.493] * (-10689.041) (-10685.042) [-10693.724] (-10683.026) -- 0:14:25
649000 -- (-10707.008) (-10693.367) (-10695.229) [-10679.880] * (-10699.951) [-10677.929] (-10697.443) (-10683.114) -- 0:14:23
650000 -- (-10696.785) (-10708.056) [-10695.392] (-10680.424) * (-10696.062) (-10696.141) [-10688.504] (-10689.813) -- 0:14:20
Average standard deviation of split frequencies: 0.002314
651000 -- (-10697.665) (-10683.970) [-10686.205] (-10686.990) * (-10716.363) (-10704.837) (-10682.671) [-10684.810] -- 0:14:18
652000 -- (-10685.063) (-10692.972) [-10684.691] (-10694.425) * (-10701.258) (-10684.440) (-10686.951) [-10685.074] -- 0:14:15
653000 -- (-10696.334) (-10683.794) [-10689.934] (-10715.535) * (-10693.964) (-10678.309) (-10699.945) [-10680.297] -- 0:14:13
654000 -- (-10694.849) [-10679.079] (-10686.446) (-10701.202) * (-10684.592) (-10685.163) [-10674.900] (-10704.661) -- 0:14:10
655000 -- (-10707.745) (-10698.849) [-10682.204] (-10696.269) * (-10701.626) (-10693.101) [-10694.293] (-10680.103) -- 0:14:08
Average standard deviation of split frequencies: 0.002364
656000 -- (-10703.235) (-10686.759) (-10705.625) [-10696.325] * (-10698.311) [-10691.811] (-10693.198) (-10694.746) -- 0:14:05
657000 -- [-10688.102] (-10700.565) (-10686.134) (-10684.445) * (-10686.719) (-10690.119) (-10705.032) [-10687.344] -- 0:14:03
658000 -- (-10692.731) (-10691.616) [-10684.470] (-10706.210) * (-10690.693) [-10689.841] (-10708.886) (-10697.854) -- 0:14:00
659000 -- (-10696.078) (-10698.730) [-10679.784] (-10704.301) * (-10699.037) [-10683.505] (-10690.552) (-10682.568) -- 0:13:58
660000 -- (-10689.943) (-10689.173) (-10686.661) [-10695.363] * [-10679.617] (-10686.040) (-10701.985) (-10685.072) -- 0:13:56
Average standard deviation of split frequencies: 0.002486
661000 -- (-10689.800) (-10709.390) (-10691.839) [-10695.911] * [-10687.680] (-10682.125) (-10705.219) (-10690.564) -- 0:13:53
662000 -- [-10680.076] (-10695.592) (-10682.529) (-10700.589) * (-10690.181) (-10684.760) [-10688.418] (-10691.136) -- 0:13:51
663000 -- (-10697.906) (-10695.193) [-10700.129] (-10697.312) * [-10696.650] (-10684.187) (-10694.510) (-10697.581) -- 0:13:48
664000 -- (-10689.107) (-10704.149) [-10694.763] (-10687.936) * (-10691.220) (-10674.098) (-10682.934) [-10678.989] -- 0:13:45
665000 -- (-10703.444) (-10695.045) [-10688.294] (-10691.417) * (-10694.913) [-10689.390] (-10714.452) (-10688.180) -- 0:13:43
Average standard deviation of split frequencies: 0.002694
666000 -- (-10692.819) [-10681.100] (-10698.926) (-10692.025) * [-10684.471] (-10691.423) (-10703.789) (-10698.314) -- 0:13:40
667000 -- (-10695.228) (-10677.601) (-10698.811) [-10687.044] * (-10689.508) (-10699.149) [-10688.343] (-10685.383) -- 0:13:38
668000 -- [-10679.098] (-10686.621) (-10696.764) (-10690.815) * [-10681.621] (-10693.010) (-10712.027) (-10697.603) -- 0:13:36
669000 -- (-10684.857) (-10694.008) [-10685.652] (-10704.829) * (-10687.681) (-10718.870) (-10690.472) [-10682.830] -- 0:13:33
670000 -- (-10705.940) (-10701.810) [-10689.211] (-10702.803) * (-10686.885) [-10691.741] (-10703.594) (-10689.224) -- 0:13:31
Average standard deviation of split frequencies: 0.002585
671000 -- [-10687.609] (-10693.665) (-10689.246) (-10695.849) * (-10695.189) (-10694.121) (-10718.321) [-10686.568] -- 0:13:28
672000 -- [-10678.567] (-10694.363) (-10699.911) (-10691.043) * (-10693.648) (-10681.629) [-10681.200] (-10689.628) -- 0:13:26
673000 -- (-10683.404) (-10698.208) [-10681.964] (-10698.231) * (-10681.659) [-10676.541] (-10684.798) (-10688.013) -- 0:13:23
674000 -- [-10683.882] (-10694.803) (-10688.532) (-10688.483) * [-10686.436] (-10684.591) (-10690.638) (-10687.447) -- 0:13:21
675000 -- (-10685.542) [-10686.314] (-10712.556) (-10701.411) * [-10680.083] (-10697.518) (-10699.790) (-10695.123) -- 0:13:18
Average standard deviation of split frequencies: 0.002587
676000 -- (-10700.641) [-10692.510] (-10699.149) (-10691.579) * (-10687.757) (-10703.568) (-10692.870) [-10704.402] -- 0:13:16
677000 -- (-10691.576) [-10681.477] (-10689.136) (-10704.771) * (-10706.918) [-10686.626] (-10695.815) (-10697.628) -- 0:13:13
678000 -- (-10696.417) (-10697.334) (-10688.777) [-10686.898] * (-10706.141) (-10696.773) (-10696.081) [-10690.755] -- 0:13:11
679000 -- (-10695.420) (-10687.219) [-10691.327] (-10693.837) * (-10689.462) (-10701.897) (-10695.890) [-10677.756] -- 0:13:09
680000 -- (-10699.794) [-10682.850] (-10696.873) (-10707.655) * (-10697.062) (-10686.212) (-10703.170) [-10677.411] -- 0:13:06
Average standard deviation of split frequencies: 0.002368
681000 -- (-10699.858) (-10688.311) [-10684.023] (-10703.209) * (-10683.044) [-10682.711] (-10688.210) (-10702.708) -- 0:13:04
682000 -- (-10689.515) (-10692.743) [-10680.534] (-10711.079) * (-10696.068) (-10706.593) (-10709.383) [-10684.791] -- 0:13:01
683000 -- (-10701.293) (-10692.388) (-10693.537) [-10685.279] * (-10685.938) (-10696.290) (-10699.030) [-10692.819] -- 0:12:59
684000 -- [-10684.257] (-10686.554) (-10686.452) (-10704.287) * (-10682.083) (-10697.405) [-10681.337] (-10694.678) -- 0:12:56
685000 -- (-10687.524) [-10674.915] (-10684.443) (-10691.850) * (-10694.918) (-10697.659) [-10686.122] (-10697.790) -- 0:12:54
Average standard deviation of split frequencies: 0.002350
686000 -- (-10705.986) (-10680.184) [-10679.194] (-10691.011) * (-10686.457) (-10703.303) [-10681.109] (-10687.989) -- 0:12:51
687000 -- [-10691.498] (-10680.810) (-10688.357) (-10703.901) * (-10685.993) (-10692.031) [-10677.921] (-10694.514) -- 0:12:49
688000 -- (-10700.238) (-10701.185) [-10690.783] (-10703.835) * (-10689.743) (-10710.999) (-10687.217) [-10682.147] -- 0:12:46
689000 -- (-10703.348) (-10702.153) [-10680.010] (-10693.703) * [-10689.036] (-10702.894) (-10696.785) (-10690.651) -- 0:12:44
690000 -- [-10688.014] (-10692.670) (-10685.900) (-10705.054) * (-10695.839) (-10707.439) (-10692.031) [-10679.177] -- 0:12:41
Average standard deviation of split frequencies: 0.002158
691000 -- (-10685.189) [-10683.932] (-10680.657) (-10704.128) * [-10686.694] (-10687.422) (-10701.668) (-10681.762) -- 0:12:39
692000 -- (-10697.943) [-10688.958] (-10684.062) (-10697.814) * (-10694.175) [-10682.533] (-10687.756) (-10696.423) -- 0:12:37
693000 -- (-10699.793) [-10684.151] (-10702.490) (-10708.852) * (-10683.334) [-10681.343] (-10682.558) (-10701.427) -- 0:12:34
694000 -- (-10719.930) [-10681.521] (-10682.171) (-10701.174) * (-10692.074) (-10687.939) [-10693.894] (-10699.427) -- 0:12:32
695000 -- (-10716.771) [-10684.666] (-10687.678) (-10692.011) * (-10690.464) [-10688.244] (-10694.039) (-10699.093) -- 0:12:29
Average standard deviation of split frequencies: 0.002316
696000 -- (-10700.266) (-10696.998) [-10685.452] (-10686.544) * (-10688.307) [-10699.402] (-10690.810) (-10698.031) -- 0:12:27
697000 -- (-10695.915) (-10688.394) (-10695.286) [-10687.820] * (-10683.405) (-10711.441) [-10693.194] (-10705.188) -- 0:12:24
698000 -- (-10714.670) [-10680.060] (-10692.848) (-10695.455) * (-10690.576) (-10688.502) (-10689.172) [-10680.943] -- 0:12:22
699000 -- (-10685.899) (-10689.239) (-10692.628) [-10692.435] * (-10689.443) [-10693.308] (-10703.157) (-10675.937) -- 0:12:19
700000 -- (-10701.947) [-10689.323] (-10696.886) (-10684.508) * (-10685.500) [-10686.835] (-10695.068) (-10685.408) -- 0:12:17
Average standard deviation of split frequencies: 0.002431
701000 -- (-10708.948) (-10696.200) [-10687.136] (-10683.344) * (-10690.014) [-10681.334] (-10692.378) (-10706.929) -- 0:12:14
702000 -- (-10702.304) (-10687.864) [-10693.473] (-10695.274) * (-10690.632) (-10696.628) (-10696.995) [-10694.318] -- 0:12:12
703000 -- (-10693.652) (-10698.084) (-10699.337) [-10691.115] * [-10687.654] (-10689.122) (-10698.287) (-10712.472) -- 0:12:10
704000 -- [-10687.129] (-10678.307) (-10696.076) (-10711.960) * (-10694.196) (-10699.229) [-10687.967] (-10708.528) -- 0:12:07
705000 -- [-10697.650] (-10713.203) (-10697.248) (-10685.032) * (-10691.091) (-10700.823) [-10692.488] (-10694.680) -- 0:12:05
Average standard deviation of split frequencies: 0.002671
706000 -- (-10688.215) (-10692.093) [-10689.015] (-10684.035) * (-10684.301) (-10699.322) [-10694.964] (-10692.010) -- 0:12:02
707000 -- (-10684.213) (-10703.483) (-10693.371) [-10680.033] * (-10683.012) (-10710.710) (-10690.683) [-10682.868] -- 0:12:00
708000 -- (-10690.706) (-10692.274) [-10683.982] (-10696.718) * [-10692.138] (-10687.866) (-10702.090) (-10686.193) -- 0:11:57
709000 -- [-10685.236] (-10688.321) (-10688.387) (-10690.594) * (-10686.597) [-10680.339] (-10691.468) (-10693.355) -- 0:11:54
710000 -- [-10689.570] (-10684.483) (-10694.347) (-10680.759) * (-10696.166) (-10678.484) (-10687.443) [-10689.994] -- 0:11:52
Average standard deviation of split frequencies: 0.003188
711000 -- (-10709.721) [-10687.723] (-10688.948) (-10700.992) * (-10692.155) (-10706.419) [-10699.215] (-10690.227) -- 0:11:50
712000 -- (-10690.287) (-10688.129) [-10688.219] (-10688.977) * [-10684.286] (-10707.678) (-10693.510) (-10693.734) -- 0:11:47
713000 -- (-10684.451) (-10694.031) (-10708.482) [-10685.402] * [-10682.463] (-10700.053) (-10686.698) (-10698.717) -- 0:11:45
714000 -- (-10694.186) (-10695.403) [-10681.720] (-10702.324) * (-10692.653) [-10694.536] (-10690.056) (-10699.479) -- 0:11:42
715000 -- (-10696.965) (-10684.486) (-10687.880) [-10690.238] * [-10686.946] (-10692.302) (-10694.118) (-10709.512) -- 0:11:40
Average standard deviation of split frequencies: 0.003292
716000 -- (-10698.376) (-10691.171) [-10692.977] (-10696.177) * (-10702.483) (-10691.083) [-10694.269] (-10701.806) -- 0:11:38
717000 -- (-10699.804) [-10690.722] (-10699.029) (-10687.631) * (-10692.987) (-10677.101) (-10690.950) [-10692.045] -- 0:11:35
718000 -- [-10695.393] (-10693.767) (-10704.664) (-10692.216) * (-10693.040) (-10676.508) [-10690.892] (-10714.256) -- 0:11:32
719000 -- (-10692.284) [-10682.462] (-10681.919) (-10699.311) * (-10714.107) (-10686.380) [-10684.346] (-10694.569) -- 0:11:30
720000 -- (-10704.773) [-10680.749] (-10687.973) (-10697.754) * [-10697.736] (-10686.548) (-10708.691) (-10685.156) -- 0:11:27
Average standard deviation of split frequencies: 0.003165
721000 -- (-10687.502) (-10696.467) [-10691.828] (-10709.331) * (-10698.082) [-10691.006] (-10692.818) (-10688.332) -- 0:11:25
722000 -- (-10699.058) (-10684.358) (-10696.395) [-10687.742] * [-10685.086] (-10689.354) (-10690.532) (-10687.255) -- 0:11:23
723000 -- (-10710.432) [-10682.356] (-10706.444) (-10708.040) * (-10697.200) (-10691.785) (-10681.412) [-10693.305] -- 0:11:20
724000 -- (-10699.309) (-10691.738) (-10682.472) [-10695.785] * (-10698.248) [-10678.389] (-10694.377) (-10696.298) -- 0:11:18
725000 -- (-10694.896) (-10696.410) (-10688.876) [-10684.344] * [-10685.372] (-10683.100) (-10695.031) (-10703.945) -- 0:11:15
Average standard deviation of split frequencies: 0.003100
726000 -- (-10687.091) (-10695.638) (-10688.731) [-10682.428] * (-10687.000) [-10681.947] (-10704.001) (-10689.998) -- 0:11:13
727000 -- (-10684.721) (-10706.398) [-10701.061] (-10687.189) * (-10691.608) [-10689.222] (-10686.027) (-10694.206) -- 0:11:10
728000 -- [-10685.000] (-10700.831) (-10712.404) (-10707.101) * (-10698.677) (-10697.197) (-10688.444) [-10691.194] -- 0:11:08
729000 -- [-10700.030] (-10702.314) (-10693.234) (-10691.786) * (-10692.814) (-10690.420) (-10688.812) [-10687.102] -- 0:11:05
730000 -- (-10696.596) (-10686.642) [-10699.672] (-10690.504) * (-10689.136) (-10688.039) (-10701.564) [-10688.522] -- 0:11:03
Average standard deviation of split frequencies: 0.003122
731000 -- (-10691.480) (-10690.733) (-10702.784) [-10693.706] * (-10688.259) [-10683.664] (-10705.678) (-10690.202) -- 0:11:00
732000 -- (-10688.304) [-10692.329] (-10692.669) (-10704.984) * (-10693.971) (-10687.760) (-10690.969) [-10686.412] -- 0:10:58
733000 -- (-10707.956) (-10691.703) (-10679.622) [-10678.919] * (-10683.969) (-10692.638) (-10696.212) [-10691.510] -- 0:10:56
734000 -- (-10691.705) (-10690.625) (-10686.702) [-10688.916] * [-10696.467] (-10687.925) (-10706.724) (-10696.485) -- 0:10:53
735000 -- (-10703.447) [-10677.328] (-10712.136) (-10689.479) * (-10687.687) [-10688.241] (-10691.516) (-10704.293) -- 0:10:51
Average standard deviation of split frequencies: 0.003264
736000 -- [-10688.011] (-10687.323) (-10697.060) (-10681.758) * (-10682.888) [-10687.904] (-10686.315) (-10687.165) -- 0:10:48
737000 -- (-10683.073) (-10687.979) (-10700.734) [-10690.658] * [-10690.500] (-10702.653) (-10683.655) (-10693.181) -- 0:10:46
738000 -- [-10688.504] (-10683.041) (-10699.567) (-10699.455) * (-10688.714) [-10697.620] (-10694.511) (-10697.194) -- 0:10:43
739000 -- (-10704.556) (-10697.398) (-10683.480) [-10688.810] * (-10696.153) (-10702.355) [-10690.748] (-10689.887) -- 0:10:41
740000 -- (-10687.218) (-10702.074) (-10691.163) [-10690.610] * [-10693.893] (-10703.984) (-10700.259) (-10690.868) -- 0:10:38
Average standard deviation of split frequencies: 0.003285
741000 -- (-10705.249) (-10685.001) [-10689.396] (-10700.144) * [-10688.439] (-10691.981) (-10693.209) (-10701.467) -- 0:10:36
742000 -- [-10686.745] (-10685.430) (-10698.523) (-10683.850) * (-10695.973) [-10685.480] (-10681.446) (-10686.363) -- 0:10:33
743000 -- (-10686.237) (-10688.476) [-10679.657] (-10696.386) * [-10693.862] (-10680.002) (-10709.667) (-10685.404) -- 0:10:31
744000 -- (-10685.370) [-10689.139] (-10701.716) (-10688.577) * [-10685.836] (-10689.446) (-10704.102) (-10701.177) -- 0:10:28
745000 -- (-10699.177) (-10696.501) [-10682.980] (-10702.619) * [-10681.007] (-10688.976) (-10698.960) (-10698.554) -- 0:10:26
Average standard deviation of split frequencies: 0.003608
746000 -- (-10694.031) (-10695.283) [-10688.949] (-10717.292) * (-10688.473) [-10681.633] (-10681.248) (-10685.809) -- 0:10:24
747000 -- [-10677.401] (-10711.374) (-10696.179) (-10706.824) * (-10697.643) (-10688.940) [-10676.757] (-10694.138) -- 0:10:21
748000 -- (-10691.668) (-10711.912) [-10690.348] (-10700.100) * [-10688.089] (-10686.106) (-10686.447) (-10683.904) -- 0:10:19
749000 -- (-10713.413) [-10686.372] (-10685.306) (-10701.587) * [-10691.503] (-10690.535) (-10690.246) (-10694.999) -- 0:10:16
750000 -- (-10698.920) [-10683.652] (-10694.342) (-10709.859) * [-10686.544] (-10692.267) (-10693.806) (-10683.204) -- 0:10:14
Average standard deviation of split frequencies: 0.003930
751000 -- (-10695.672) [-10684.266] (-10699.298) (-10685.955) * (-10686.725) [-10680.388] (-10705.775) (-10703.186) -- 0:10:11
752000 -- (-10709.316) [-10685.790] (-10688.744) (-10685.865) * (-10689.085) [-10686.506] (-10692.718) (-10710.548) -- 0:10:09
753000 -- (-10717.539) (-10703.946) [-10688.513] (-10689.393) * [-10681.908] (-10687.804) (-10695.107) (-10699.684) -- 0:10:06
754000 -- (-10696.149) (-10693.910) [-10693.151] (-10689.227) * [-10689.349] (-10677.847) (-10701.634) (-10701.500) -- 0:10:04
755000 -- (-10689.345) (-10700.571) [-10682.740] (-10689.597) * (-10681.297) (-10686.464) (-10716.548) [-10688.589] -- 0:10:01
Average standard deviation of split frequencies: 0.003983
756000 -- [-10681.664] (-10696.280) (-10702.419) (-10692.500) * (-10685.433) [-10695.042] (-10703.090) (-10681.090) -- 0:09:59
757000 -- (-10693.427) (-10712.498) (-10684.799) [-10680.256] * (-10689.329) [-10686.570] (-10694.458) (-10690.380) -- 0:09:57
758000 -- (-10684.764) (-10690.607) [-10681.318] (-10682.410) * (-10688.525) (-10693.220) (-10684.144) [-10696.414] -- 0:09:54
759000 -- (-10695.397) (-10696.827) [-10681.183] (-10693.271) * (-10683.071) (-10689.365) [-10683.875] (-10701.789) -- 0:09:52
760000 -- (-10698.126) (-10688.726) (-10688.025) [-10683.616] * (-10690.258) (-10701.881) [-10682.417] (-10692.903) -- 0:09:49
Average standard deviation of split frequencies: 0.003838
761000 -- (-10692.004) (-10720.510) (-10694.035) [-10685.397] * [-10675.266] (-10693.489) (-10686.371) (-10688.554) -- 0:09:47
762000 -- [-10699.619] (-10697.561) (-10693.935) (-10693.108) * [-10679.725] (-10691.402) (-10698.442) (-10692.267) -- 0:09:44
763000 -- (-10682.014) (-10696.451) [-10675.449] (-10695.437) * (-10692.092) [-10691.875] (-10705.724) (-10701.788) -- 0:09:42
764000 -- (-10698.088) (-10698.407) [-10680.894] (-10689.520) * [-10701.826] (-10695.178) (-10704.801) (-10696.033) -- 0:09:39
765000 -- [-10695.823] (-10705.831) (-10700.655) (-10688.275) * (-10690.876) (-10701.823) [-10694.531] (-10698.613) -- 0:09:37
Average standard deviation of split frequencies: 0.004050
766000 -- (-10697.072) (-10698.869) (-10695.191) [-10702.142] * [-10683.773] (-10685.900) (-10705.740) (-10689.553) -- 0:09:34
767000 -- (-10705.506) [-10702.365] (-10692.040) (-10685.766) * (-10685.534) (-10690.034) [-10710.661] (-10701.509) -- 0:09:32
768000 -- [-10695.540] (-10701.609) (-10698.051) (-10685.497) * (-10693.092) (-10699.149) [-10700.778] (-10702.989) -- 0:09:30
769000 -- (-10693.788) [-10687.566] (-10683.907) (-10683.581) * (-10683.234) (-10703.674) (-10699.687) [-10691.216] -- 0:09:27
770000 -- (-10688.651) (-10685.092) [-10691.230] (-10705.050) * (-10692.722) (-10715.950) [-10687.324] (-10690.295) -- 0:09:25
Average standard deviation of split frequencies: 0.004006
771000 -- (-10688.217) [-10691.751] (-10709.998) (-10700.981) * (-10697.927) (-10707.143) [-10675.986] (-10704.837) -- 0:09:22
772000 -- (-10687.929) [-10703.436] (-10693.596) (-10703.946) * [-10696.139] (-10703.960) (-10679.456) (-10701.141) -- 0:09:19
773000 -- (-10690.088) (-10689.353) (-10688.666) [-10694.847] * [-10675.531] (-10701.378) (-10694.050) (-10700.969) -- 0:09:17
774000 -- (-10700.967) [-10682.051] (-10690.133) (-10684.408) * [-10693.460] (-10696.724) (-10700.573) (-10694.612) -- 0:09:15
775000 -- (-10692.655) [-10680.330] (-10698.150) (-10698.655) * [-10695.204] (-10691.696) (-10693.083) (-10709.938) -- 0:09:12
Average standard deviation of split frequencies: 0.004017
776000 -- [-10688.041] (-10699.677) (-10689.330) (-10696.711) * [-10685.190] (-10700.580) (-10695.774) (-10699.545) -- 0:09:10
777000 -- (-10679.868) (-10691.010) [-10680.937] (-10697.057) * (-10694.498) (-10702.778) (-10714.071) [-10692.277] -- 0:09:07
778000 -- [-10680.154] (-10700.737) (-10698.544) (-10701.138) * [-10684.564] (-10703.408) (-10691.318) (-10692.743) -- 0:09:05
779000 -- [-10684.178] (-10695.786) (-10706.787) (-10692.732) * (-10700.579) (-10695.487) [-10690.871] (-10689.907) -- 0:09:02
780000 -- (-10694.176) [-10691.726] (-10696.841) (-10684.601) * (-10685.608) (-10684.084) [-10682.013] (-10696.046) -- 0:09:00
Average standard deviation of split frequencies: 0.004091
781000 -- (-10690.908) [-10678.911] (-10698.258) (-10684.322) * (-10680.364) [-10677.616] (-10684.365) (-10699.783) -- 0:08:58
782000 -- (-10723.423) (-10681.599) (-10695.090) [-10687.267] * [-10690.091] (-10686.996) (-10686.849) (-10697.539) -- 0:08:55
783000 -- (-10693.180) [-10685.126] (-10690.179) (-10681.526) * [-10687.361] (-10695.881) (-10695.816) (-10688.147) -- 0:08:53
784000 -- [-10689.680] (-10702.757) (-10680.166) (-10685.907) * (-10697.085) (-10689.412) (-10689.781) [-10676.901] -- 0:08:50
785000 -- [-10695.582] (-10710.487) (-10696.200) (-10685.162) * (-10691.626) [-10687.748] (-10687.447) (-10685.898) -- 0:08:48
Average standard deviation of split frequencies: 0.004218
786000 -- (-10690.993) (-10690.939) [-10686.682] (-10698.742) * (-10699.732) (-10705.836) [-10690.782] (-10691.197) -- 0:08:45
787000 -- [-10686.028] (-10710.042) (-10686.295) (-10686.023) * (-10695.879) (-10698.654) [-10684.967] (-10688.735) -- 0:08:43
788000 -- (-10689.957) (-10691.228) [-10675.298] (-10677.907) * [-10677.636] (-10697.731) (-10687.581) (-10692.135) -- 0:08:40
789000 -- [-10675.328] (-10695.599) (-10682.114) (-10694.765) * [-10691.312] (-10705.464) (-10704.265) (-10691.068) -- 0:08:38
790000 -- [-10681.784] (-10696.966) (-10687.049) (-10690.541) * (-10691.804) (-10705.835) [-10680.129] (-10702.542) -- 0:08:35
Average standard deviation of split frequencies: 0.004116
791000 -- [-10695.545] (-10678.838) (-10693.204) (-10693.400) * (-10687.206) [-10694.935] (-10690.913) (-10696.614) -- 0:08:33
792000 -- (-10704.719) [-10681.683] (-10692.269) (-10698.282) * [-10691.902] (-10683.619) (-10722.120) (-10692.602) -- 0:08:31
793000 -- (-10707.979) [-10696.357] (-10698.474) (-10674.697) * (-10696.892) [-10681.232] (-10693.519) (-10696.628) -- 0:08:28
794000 -- (-10702.799) (-10705.249) (-10688.872) [-10683.682] * [-10695.276] (-10685.871) (-10698.372) (-10687.004) -- 0:08:25
795000 -- (-10690.876) (-10707.401) [-10688.083] (-10692.171) * (-10695.420) (-10694.878) [-10680.756] (-10700.335) -- 0:08:23
Average standard deviation of split frequencies: 0.004203
796000 -- (-10713.628) (-10695.734) [-10683.340] (-10682.322) * [-10683.044] (-10694.566) (-10706.515) (-10685.076) -- 0:08:21
797000 -- (-10699.375) (-10693.765) [-10687.421] (-10692.365) * (-10677.190) [-10685.831] (-10694.329) (-10701.921) -- 0:08:18
798000 -- (-10694.534) (-10706.881) [-10683.560] (-10685.295) * (-10687.864) (-10696.961) (-10677.887) [-10692.625] -- 0:08:16
799000 -- (-10690.479) [-10701.270] (-10689.896) (-10688.368) * (-10708.526) (-10690.983) (-10686.110) [-10691.830] -- 0:08:13
800000 -- (-10699.518) (-10699.019) [-10684.926] (-10677.404) * (-10688.847) (-10688.687) [-10690.594] (-10713.404) -- 0:08:11
Average standard deviation of split frequencies: 0.004007
801000 -- (-10691.047) (-10689.675) [-10697.272] (-10683.669) * (-10690.487) (-10690.004) [-10691.782] (-10695.762) -- 0:08:08
802000 -- (-10690.097) (-10700.275) [-10688.382] (-10699.725) * [-10699.813] (-10695.807) (-10692.475) (-10706.791) -- 0:08:06
803000 -- (-10696.517) [-10683.958] (-10699.781) (-10689.613) * (-10711.589) (-10695.948) [-10691.572] (-10693.926) -- 0:08:03
804000 -- [-10689.065] (-10699.071) (-10703.766) (-10689.399) * (-10699.609) [-10686.001] (-10689.296) (-10685.199) -- 0:08:01
805000 -- (-10698.782) [-10692.556] (-10707.579) (-10702.782) * (-10705.652) (-10694.977) (-10700.676) [-10690.223] -- 0:07:59
Average standard deviation of split frequencies: 0.004132
806000 -- (-10695.709) [-10683.713] (-10697.559) (-10689.730) * [-10705.897] (-10683.258) (-10689.897) (-10690.773) -- 0:07:56
807000 -- (-10696.924) (-10698.416) (-10717.653) [-10695.322] * (-10688.500) [-10700.274] (-10707.739) (-10711.527) -- 0:07:54
808000 -- (-10702.297) (-10693.924) (-10700.441) [-10688.452] * (-10693.432) [-10688.920] (-10698.098) (-10692.782) -- 0:07:51
809000 -- (-10712.479) [-10680.924] (-10697.407) (-10693.891) * (-10689.381) (-10688.103) [-10686.513] (-10693.677) -- 0:07:49
810000 -- [-10683.598] (-10702.495) (-10697.621) (-10692.288) * (-10701.101) (-10695.012) [-10685.115] (-10690.804) -- 0:07:46
Average standard deviation of split frequencies: 0.003902
811000 -- (-10691.931) (-10701.998) (-10691.161) [-10678.032] * (-10693.761) (-10694.078) [-10678.483] (-10691.829) -- 0:07:44
812000 -- (-10682.478) (-10699.022) (-10689.715) [-10685.822] * [-10695.315] (-10693.843) (-10691.790) (-10690.975) -- 0:07:41
813000 -- [-10683.077] (-10703.049) (-10689.952) (-10702.279) * [-10684.225] (-10686.432) (-10693.318) (-10689.346) -- 0:07:39
814000 -- (-10695.254) (-10687.471) [-10694.109] (-10688.678) * (-10695.051) (-10681.375) [-10685.813] (-10696.711) -- 0:07:37
815000 -- [-10690.821] (-10699.991) (-10682.746) (-10688.770) * (-10706.650) (-10699.198) [-10685.121] (-10694.336) -- 0:07:34
Average standard deviation of split frequencies: 0.003708
816000 -- (-10699.206) [-10683.999] (-10695.868) (-10699.249) * [-10692.243] (-10692.997) (-10679.924) (-10697.500) -- 0:07:32
817000 -- [-10682.902] (-10678.176) (-10694.249) (-10688.967) * [-10685.918] (-10698.613) (-10690.351) (-10693.458) -- 0:07:29
818000 -- [-10683.271] (-10689.567) (-10685.108) (-10690.890) * [-10693.813] (-10720.540) (-10683.143) (-10699.247) -- 0:07:27
819000 -- [-10675.437] (-10699.115) (-10697.007) (-10692.061) * (-10684.353) (-10701.814) (-10682.797) [-10684.888] -- 0:07:24
820000 -- [-10675.784] (-10706.222) (-10687.920) (-10705.506) * (-10686.180) (-10706.926) [-10676.915] (-10690.720) -- 0:07:22
Average standard deviation of split frequencies: 0.003335
821000 -- [-10683.826] (-10681.846) (-10689.593) (-10696.132) * (-10699.892) (-10704.849) (-10675.056) [-10684.456] -- 0:07:19
822000 -- (-10687.817) [-10693.896] (-10695.572) (-10689.516) * (-10706.545) (-10701.630) [-10677.933] (-10677.902) -- 0:07:17
823000 -- [-10701.602] (-10682.084) (-10693.359) (-10699.314) * (-10681.820) (-10692.910) [-10694.922] (-10692.090) -- 0:07:14
824000 -- (-10686.772) [-10682.848] (-10699.007) (-10696.082) * (-10699.307) (-10703.854) (-10686.049) [-10680.891] -- 0:07:12
825000 -- (-10692.402) [-10689.698] (-10694.909) (-10685.826) * (-10699.562) [-10696.914] (-10696.002) (-10695.894) -- 0:07:09
Average standard deviation of split frequencies: 0.003240
826000 -- [-10700.435] (-10684.805) (-10698.060) (-10682.820) * (-10691.712) (-10689.376) [-10684.155] (-10690.346) -- 0:07:07
827000 -- [-10688.886] (-10686.037) (-10686.803) (-10703.054) * [-10694.445] (-10701.082) (-10696.910) (-10705.623) -- 0:07:05
828000 -- (-10687.081) (-10686.093) [-10690.392] (-10697.997) * (-10698.714) (-10695.991) [-10676.803] (-10698.424) -- 0:07:02
829000 -- (-10695.633) [-10691.420] (-10701.601) (-10681.720) * (-10695.649) (-10699.339) [-10690.839] (-10691.873) -- 0:07:00
830000 -- [-10688.443] (-10697.413) (-10682.934) (-10696.418) * (-10692.204) [-10683.130] (-10693.704) (-10694.353) -- 0:06:57
Average standard deviation of split frequencies: 0.003149
831000 -- (-10691.530) (-10689.981) [-10678.111] (-10689.916) * [-10687.162] (-10685.918) (-10691.700) (-10707.512) -- 0:06:55
832000 -- (-10689.744) (-10710.346) [-10673.068] (-10700.336) * (-10713.030) (-10686.187) (-10692.683) [-10691.279] -- 0:06:52
833000 -- [-10685.828] (-10695.487) (-10695.958) (-10696.674) * (-10718.220) [-10694.652] (-10697.441) (-10687.175) -- 0:06:50
834000 -- (-10684.597) (-10709.304) (-10696.754) [-10693.138] * [-10695.702] (-10704.060) (-10698.999) (-10703.073) -- 0:06:48
835000 -- (-10689.268) (-10693.027) [-10690.738] (-10699.299) * [-10691.630] (-10697.519) (-10689.200) (-10695.410) -- 0:06:45
Average standard deviation of split frequencies: 0.002619
836000 -- [-10691.301] (-10707.585) (-10693.292) (-10684.825) * (-10696.081) [-10697.617] (-10683.285) (-10699.644) -- 0:06:43
837000 -- (-10689.678) (-10685.384) [-10689.041] (-10682.320) * (-10681.724) [-10686.495] (-10677.238) (-10695.292) -- 0:06:40
838000 -- (-10696.508) (-10702.923) [-10683.110] (-10687.334) * [-10680.171] (-10699.477) (-10696.535) (-10700.176) -- 0:06:38
839000 -- (-10698.659) [-10702.365] (-10699.477) (-10688.311) * [-10702.488] (-10702.457) (-10685.032) (-10697.734) -- 0:06:35
840000 -- (-10702.087) (-10689.406) (-10694.281) [-10689.242] * (-10683.800) [-10687.549] (-10693.193) (-10696.849) -- 0:06:33
Average standard deviation of split frequencies: 0.002424
841000 -- (-10709.425) [-10673.971] (-10694.286) (-10692.133) * [-10685.385] (-10689.368) (-10711.315) (-10705.017) -- 0:06:30
842000 -- (-10693.475) [-10680.739] (-10687.862) (-10690.244) * (-10687.692) (-10696.113) (-10695.729) [-10690.842] -- 0:06:28
843000 -- [-10681.363] (-10676.484) (-10695.529) (-10699.231) * (-10696.926) [-10682.277] (-10681.976) (-10689.853) -- 0:06:25
844000 -- (-10680.024) (-10692.316) [-10681.528] (-10714.096) * (-10697.430) (-10701.354) [-10680.445] (-10690.014) -- 0:06:23
845000 -- (-10690.770) (-10691.125) [-10686.817] (-10702.061) * (-10691.494) (-10699.844) (-10692.558) [-10687.559] -- 0:06:20
Average standard deviation of split frequencies: 0.002193
846000 -- (-10702.009) [-10685.247] (-10706.834) (-10682.620) * (-10694.103) (-10706.259) [-10679.533] (-10691.931) -- 0:06:18
847000 -- (-10693.189) (-10691.730) [-10699.447] (-10685.859) * (-10694.940) (-10695.875) (-10684.053) [-10682.250] -- 0:06:16
848000 -- [-10684.391] (-10700.137) (-10695.796) (-10701.400) * [-10687.176] (-10700.562) (-10695.691) (-10692.783) -- 0:06:13
849000 -- (-10706.024) (-10705.603) [-10693.562] (-10678.757) * (-10689.363) [-10681.712] (-10692.828) (-10692.434) -- 0:06:11
850000 -- (-10704.904) (-10682.900) (-10687.965) [-10673.487] * (-10703.239) (-10689.281) [-10672.446] (-10686.286) -- 0:06:08
Average standard deviation of split frequencies: 0.002127
851000 -- (-10699.743) [-10679.280] (-10691.956) (-10688.013) * (-10695.188) (-10692.143) [-10680.991] (-10707.427) -- 0:06:06
852000 -- [-10685.731] (-10691.193) (-10706.812) (-10690.737) * (-10694.468) (-10688.914) [-10680.056] (-10702.828) -- 0:06:03
853000 -- (-10698.681) (-10682.432) [-10688.164] (-10699.172) * (-10689.958) (-10697.785) [-10690.824] (-10697.670) -- 0:06:01
854000 -- (-10692.450) (-10688.149) [-10692.410] (-10696.282) * [-10683.505] (-10695.788) (-10690.669) (-10692.326) -- 0:05:58
855000 -- (-10684.737) (-10698.713) [-10684.963] (-10688.007) * (-10699.403) [-10688.499] (-10699.011) (-10705.002) -- 0:05:56
Average standard deviation of split frequencies: 0.002096
856000 -- [-10683.491] (-10688.008) (-10703.610) (-10687.091) * [-10704.992] (-10687.082) (-10694.566) (-10697.073) -- 0:05:53
857000 -- [-10681.812] (-10707.440) (-10704.264) (-10700.616) * (-10697.324) [-10693.052] (-10704.300) (-10695.656) -- 0:05:51
858000 -- [-10685.909] (-10689.523) (-10686.658) (-10702.866) * (-10686.455) [-10681.070] (-10692.053) (-10711.708) -- 0:05:49
859000 -- (-10695.535) (-10691.980) [-10691.241] (-10690.048) * (-10695.768) [-10678.657] (-10686.980) (-10696.050) -- 0:05:46
860000 -- [-10689.059] (-10704.429) (-10682.287) (-10681.180) * (-10694.424) (-10686.205) (-10689.088) [-10689.266] -- 0:05:44
Average standard deviation of split frequencies: 0.002067
861000 -- (-10690.298) (-10698.339) [-10693.237] (-10680.315) * (-10705.796) [-10680.957] (-10691.566) (-10688.108) -- 0:05:41
862000 -- [-10697.487] (-10709.839) (-10690.461) (-10687.185) * [-10690.305] (-10691.236) (-10700.330) (-10697.655) -- 0:05:39
863000 -- (-10695.260) [-10679.202] (-10690.838) (-10687.006) * (-10680.830) (-10709.026) [-10696.469] (-10701.696) -- 0:05:36
864000 -- (-10696.399) (-10696.255) [-10686.205] (-10696.032) * [-10690.367] (-10686.363) (-10691.858) (-10697.853) -- 0:05:34
865000 -- [-10694.032] (-10702.572) (-10690.354) (-10687.229) * [-10696.715] (-10684.599) (-10676.778) (-10707.193) -- 0:05:31
Average standard deviation of split frequencies: 0.001949
866000 -- (-10701.693) (-10684.872) [-10689.009] (-10684.221) * (-10699.455) (-10690.801) [-10689.519] (-10694.176) -- 0:05:29
867000 -- [-10693.026] (-10692.584) (-10689.724) (-10701.676) * [-10689.824] (-10695.684) (-10690.372) (-10690.924) -- 0:05:26
868000 -- [-10692.689] (-10694.388) (-10697.393) (-10696.310) * (-10693.301) [-10690.633] (-10694.738) (-10700.536) -- 0:05:24
869000 -- (-10695.483) [-10686.975] (-10696.232) (-10690.664) * (-10693.661) (-10697.726) (-10690.369) [-10677.036] -- 0:05:21
870000 -- (-10696.993) (-10682.191) (-10714.849) [-10689.343] * (-10689.737) (-10709.594) (-10690.968) [-10689.391] -- 0:05:19
Average standard deviation of split frequencies: 0.001991
871000 -- (-10690.080) [-10694.986] (-10711.857) (-10687.460) * (-10680.984) (-10695.949) [-10681.981] (-10687.298) -- 0:05:17
872000 -- (-10693.770) (-10692.393) (-10709.159) [-10682.577] * (-10690.860) [-10683.192] (-10694.912) (-10693.464) -- 0:05:14
873000 -- [-10690.565] (-10692.301) (-10702.935) (-10689.603) * (-10694.967) (-10691.780) (-10708.801) [-10686.208] -- 0:05:12
874000 -- (-10697.808) (-10682.994) (-10689.345) [-10690.819] * (-10692.786) (-10694.334) [-10700.381] (-10679.412) -- 0:05:09
875000 -- (-10699.305) [-10689.585] (-10692.243) (-10703.192) * [-10683.651] (-10691.175) (-10693.251) (-10680.968) -- 0:05:07
Average standard deviation of split frequencies: 0.001944
876000 -- (-10699.550) (-10696.086) (-10700.563) [-10694.998] * (-10713.271) (-10687.469) [-10688.280] (-10704.137) -- 0:05:04
877000 -- (-10696.904) [-10688.345] (-10689.287) (-10706.758) * (-10705.769) (-10685.112) [-10686.953] (-10695.274) -- 0:05:02
878000 -- [-10679.053] (-10704.351) (-10693.847) (-10689.483) * (-10698.953) (-10696.010) [-10687.778] (-10686.620) -- 0:04:59
879000 -- [-10690.198] (-10694.692) (-10678.807) (-10704.285) * (-10714.676) [-10689.250] (-10702.280) (-10679.765) -- 0:04:57
880000 -- (-10701.981) (-10701.727) [-10689.192] (-10689.166) * (-10699.187) (-10701.181) (-10689.418) [-10676.716] -- 0:04:54
Average standard deviation of split frequencies: 0.001658
881000 -- [-10673.964] (-10694.830) (-10694.591) (-10708.402) * [-10693.570] (-10690.222) (-10701.833) (-10690.898) -- 0:04:52
882000 -- (-10679.332) (-10714.875) [-10679.913] (-10686.948) * [-10694.397] (-10686.428) (-10696.484) (-10686.157) -- 0:04:50
883000 -- [-10687.702] (-10687.075) (-10696.622) (-10701.428) * (-10700.524) [-10691.222] (-10686.132) (-10692.999) -- 0:04:47
884000 -- (-10688.469) (-10692.917) (-10692.131) [-10696.894] * [-10697.470] (-10691.325) (-10710.801) (-10683.886) -- 0:04:45
885000 -- [-10686.662] (-10698.802) (-10699.197) (-10680.025) * (-10703.076) (-10702.736) (-10688.058) [-10691.127] -- 0:04:42
Average standard deviation of split frequencies: 0.001596
886000 -- (-10688.868) (-10689.599) (-10683.372) [-10677.234] * (-10688.683) [-10693.100] (-10699.622) (-10696.843) -- 0:04:40
887000 -- [-10691.709] (-10692.020) (-10687.112) (-10690.606) * (-10687.840) [-10691.309] (-10697.764) (-10686.958) -- 0:04:37
888000 -- [-10692.076] (-10692.400) (-10695.534) (-10698.361) * (-10691.975) (-10690.782) [-10682.166] (-10685.267) -- 0:04:35
889000 -- [-10686.392] (-10699.042) (-10698.297) (-10691.637) * (-10691.862) (-10683.105) [-10687.883] (-10697.930) -- 0:04:32
890000 -- [-10693.414] (-10703.684) (-10695.744) (-10696.985) * (-10698.238) (-10694.127) [-10692.818] (-10700.460) -- 0:04:30
Average standard deviation of split frequencies: 0.001434
891000 -- (-10698.318) [-10683.100] (-10700.336) (-10685.021) * [-10687.105] (-10697.860) (-10694.295) (-10697.692) -- 0:04:27
892000 -- (-10693.520) (-10705.450) (-10683.793) [-10674.141] * [-10686.626] (-10690.312) (-10708.016) (-10690.249) -- 0:04:25
893000 -- (-10688.057) (-10686.481) (-10697.979) [-10680.309] * (-10694.489) [-10681.573] (-10693.380) (-10694.808) -- 0:04:23
894000 -- (-10701.417) (-10683.861) (-10691.976) [-10688.626] * (-10714.589) (-10704.531) (-10704.934) [-10684.420] -- 0:04:20
895000 -- [-10681.723] (-10686.339) (-10706.446) (-10694.061) * (-10688.949) [-10686.937] (-10691.418) (-10692.507) -- 0:04:18
Average standard deviation of split frequencies: 0.001358
896000 -- [-10679.125] (-10692.449) (-10697.377) (-10684.129) * (-10694.234) (-10691.646) [-10683.829] (-10700.705) -- 0:04:15
897000 -- [-10691.953] (-10678.114) (-10684.489) (-10690.660) * (-10699.652) [-10682.592] (-10691.445) (-10692.081) -- 0:04:13
898000 -- (-10699.142) (-10683.049) [-10685.265] (-10691.245) * (-10692.184) [-10691.155] (-10683.707) (-10693.639) -- 0:04:10
899000 -- (-10701.814) (-10687.850) (-10698.195) [-10690.813] * (-10686.881) (-10700.540) (-10683.292) [-10697.643] -- 0:04:08
900000 -- [-10677.240] (-10680.821) (-10684.121) (-10706.777) * (-10694.175) (-10694.039) [-10681.012] (-10678.748) -- 0:04:05
Average standard deviation of split frequencies: 0.001368
901000 -- (-10693.807) (-10704.436) [-10690.088] (-10702.510) * (-10687.191) [-10707.902] (-10690.229) (-10703.486) -- 0:04:03
902000 -- (-10688.464) [-10697.967] (-10685.763) (-10691.786) * (-10680.699) [-10693.089] (-10703.176) (-10690.641) -- 0:04:00
903000 -- [-10689.232] (-10691.669) (-10707.803) (-10683.962) * [-10683.812] (-10703.795) (-10692.309) (-10702.931) -- 0:03:58
904000 -- [-10683.848] (-10682.336) (-10695.071) (-10690.756) * [-10682.164] (-10703.485) (-10709.006) (-10683.288) -- 0:03:55
905000 -- (-10706.976) (-10695.234) (-10696.064) [-10688.921] * (-10693.087) (-10700.985) (-10720.240) [-10686.987] -- 0:03:53
Average standard deviation of split frequencies: 0.001158
906000 -- (-10692.854) (-10694.043) [-10683.583] (-10688.194) * (-10697.653) [-10676.692] (-10693.975) (-10683.940) -- 0:03:51
907000 -- (-10701.765) (-10692.977) [-10686.187] (-10693.070) * (-10703.120) (-10700.217) (-10694.631) [-10686.884] -- 0:03:48
908000 -- (-10701.372) (-10700.262) [-10684.870] (-10694.522) * (-10688.522) (-10696.606) (-10693.994) [-10675.831] -- 0:03:46
909000 -- (-10698.649) (-10694.715) [-10682.674] (-10698.201) * (-10710.994) (-10696.626) (-10692.010) [-10683.709] -- 0:03:43
910000 -- (-10697.205) (-10704.128) (-10698.240) [-10690.024] * (-10695.963) (-10688.605) (-10698.210) [-10688.455] -- 0:03:41
Average standard deviation of split frequencies: 0.001102
911000 -- (-10704.897) (-10697.010) (-10705.623) [-10680.299] * (-10692.421) (-10689.345) (-10690.399) [-10682.940] -- 0:03:38
912000 -- (-10684.688) [-10685.290] (-10704.450) (-10689.196) * (-10692.681) [-10695.177] (-10696.631) (-10697.692) -- 0:03:36
913000 -- (-10689.371) (-10693.624) (-10694.458) [-10684.936] * (-10695.780) (-10707.780) (-10696.144) [-10691.501] -- 0:03:33
914000 -- (-10688.184) (-10680.344) (-10703.647) [-10681.465] * (-10697.346) (-10702.785) [-10696.640] (-10693.827) -- 0:03:31
915000 -- (-10694.728) [-10688.950] (-10710.100) (-10687.208) * (-10682.081) [-10691.406] (-10715.375) (-10689.517) -- 0:03:28
Average standard deviation of split frequencies: 0.000946
916000 -- (-10678.175) [-10696.755] (-10695.037) (-10690.305) * (-10691.728) (-10690.347) (-10699.685) [-10684.641] -- 0:03:26
917000 -- (-10691.902) (-10687.446) [-10677.171] (-10693.706) * (-10686.874) (-10698.886) (-10707.427) [-10681.405] -- 0:03:23
918000 -- (-10689.178) (-10695.218) [-10676.950] (-10689.472) * [-10687.868] (-10693.079) (-10707.995) (-10698.310) -- 0:03:21
919000 -- [-10684.783] (-10693.287) (-10691.107) (-10696.977) * (-10693.027) (-10694.079) [-10697.606] (-10695.795) -- 0:03:19
920000 -- (-10701.657) [-10687.753] (-10688.382) (-10709.862) * (-10705.882) [-10694.194] (-10688.618) (-10683.989) -- 0:03:16
Average standard deviation of split frequencies: 0.000958
921000 -- (-10688.617) (-10704.307) [-10688.845] (-10689.168) * (-10692.405) [-10684.271] (-10688.119) (-10712.660) -- 0:03:14
922000 -- (-10685.377) (-10701.353) (-10696.538) [-10693.077] * (-10681.130) [-10681.209] (-10716.408) (-10718.221) -- 0:03:11
923000 -- (-10691.611) [-10683.996] (-10703.867) (-10689.039) * (-10686.367) (-10706.761) [-10687.572] (-10678.851) -- 0:03:09
924000 -- (-10680.754) (-10690.478) [-10678.463] (-10695.742) * (-10701.875) (-10698.329) (-10680.077) [-10677.921] -- 0:03:06
925000 -- (-10698.322) (-10696.202) (-10697.330) [-10695.214] * (-10699.191) (-10691.900) [-10683.040] (-10688.915) -- 0:03:04
Average standard deviation of split frequencies: 0.000903
926000 -- [-10678.041] (-10700.759) (-10683.656) (-10689.110) * (-10687.232) [-10683.332] (-10698.543) (-10695.045) -- 0:03:01
927000 -- (-10684.063) (-10703.224) [-10684.165] (-10685.324) * [-10683.484] (-10688.760) (-10690.844) (-10706.063) -- 0:02:59
928000 -- [-10678.602] (-10694.297) (-10702.791) (-10694.068) * (-10696.310) (-10689.320) (-10700.640) [-10687.584] -- 0:02:56
929000 -- [-10687.619] (-10706.017) (-10695.423) (-10702.429) * (-10696.297) (-10690.557) (-10682.862) [-10683.350] -- 0:02:54
930000 -- [-10689.072] (-10705.212) (-10693.000) (-10701.962) * (-10692.322) (-10689.147) (-10691.274) [-10674.988] -- 0:02:51
Average standard deviation of split frequencies: 0.000833
931000 -- (-10696.425) (-10710.869) (-10677.258) [-10692.157] * [-10678.856] (-10687.811) (-10715.402) (-10693.442) -- 0:02:49
932000 -- [-10686.868] (-10692.199) (-10691.442) (-10707.993) * (-10696.119) (-10696.143) (-10694.730) [-10678.596] -- 0:02:47
933000 -- (-10692.039) (-10695.717) (-10691.200) [-10701.869] * (-10711.050) (-10689.601) (-10691.052) [-10681.233] -- 0:02:44
934000 -- (-10705.502) [-10679.944] (-10704.131) (-10690.157) * (-10695.790) (-10716.522) (-10688.612) [-10684.226] -- 0:02:42
935000 -- (-10698.371) (-10697.783) [-10686.718] (-10695.521) * (-10685.850) (-10701.035) (-10702.694) [-10692.576] -- 0:02:39
Average standard deviation of split frequencies: 0.000812
936000 -- (-10690.824) (-10703.142) [-10687.040] (-10686.751) * [-10687.850] (-10692.902) (-10692.755) (-10700.517) -- 0:02:37
937000 -- (-10695.643) (-10693.877) (-10698.971) [-10682.505] * (-10688.439) (-10684.379) [-10679.701] (-10706.211) -- 0:02:34
938000 -- (-10706.377) (-10699.079) [-10685.851] (-10686.635) * (-10684.855) (-10688.256) [-10694.855] (-10697.073) -- 0:02:32
939000 -- (-10698.275) (-10692.538) [-10684.012] (-10689.496) * (-10678.282) [-10676.753] (-10693.431) (-10694.294) -- 0:02:29
940000 -- (-10701.283) [-10683.784] (-10698.608) (-10680.186) * (-10689.154) (-10690.913) [-10680.265] (-10703.163) -- 0:02:27
Average standard deviation of split frequencies: 0.001083
941000 -- [-10686.972] (-10684.834) (-10697.966) (-10683.430) * [-10677.736] (-10686.281) (-10689.028) (-10705.647) -- 0:02:24
942000 -- (-10695.826) (-10681.801) (-10692.456) [-10685.587] * [-10687.627] (-10688.981) (-10688.960) (-10715.201) -- 0:02:22
943000 -- (-10689.643) (-10693.980) (-10697.299) [-10685.495] * (-10685.157) [-10684.367] (-10698.413) (-10695.957) -- 0:02:20
944000 -- (-10681.134) (-10691.226) [-10685.546] (-10703.036) * [-10688.192] (-10685.731) (-10695.601) (-10689.374) -- 0:02:17
945000 -- [-10684.246] (-10707.663) (-10679.832) (-10701.777) * [-10691.803] (-10706.261) (-10677.987) (-10694.216) -- 0:02:15
Average standard deviation of split frequencies: 0.001125
946000 -- [-10683.396] (-10694.731) (-10680.995) (-10718.073) * (-10704.536) (-10698.069) [-10688.763] (-10701.942) -- 0:02:12
947000 -- (-10703.989) (-10691.929) [-10682.209] (-10688.308) * [-10692.896] (-10683.592) (-10695.501) (-10692.211) -- 0:02:10
948000 -- (-10694.694) (-10706.139) (-10702.423) [-10682.786] * (-10698.597) [-10685.520] (-10694.528) (-10687.058) -- 0:02:07
949000 -- (-10690.283) (-10701.095) [-10682.969] (-10679.046) * (-10688.256) (-10693.715) [-10686.874] (-10696.460) -- 0:02:05
950000 -- (-10687.184) [-10699.469] (-10704.240) (-10690.773) * (-10696.061) [-10705.739] (-10699.482) (-10702.584) -- 0:02:02
Average standard deviation of split frequencies: 0.001216
951000 -- (-10694.404) (-10698.394) [-10688.962] (-10703.837) * (-10697.290) (-10698.520) [-10686.672] (-10688.431) -- 0:02:00
952000 -- (-10698.344) [-10694.573] (-10683.194) (-10718.053) * (-10689.863) [-10699.573] (-10698.999) (-10688.665) -- 0:01:57
953000 -- (-10707.839) [-10682.680] (-10686.328) (-10694.848) * [-10694.040] (-10691.473) (-10690.844) (-10697.100) -- 0:01:55
954000 -- (-10696.640) (-10686.285) (-10707.207) [-10684.435] * (-10701.262) (-10690.624) (-10688.064) [-10690.085] -- 0:01:53
955000 -- (-10682.339) (-10703.932) (-10708.011) [-10683.361] * (-10701.911) (-10700.202) (-10704.328) [-10689.620] -- 0:01:50
Average standard deviation of split frequencies: 0.001304
956000 -- (-10694.429) (-10691.667) [-10684.680] (-10696.974) * (-10702.508) (-10683.264) (-10699.725) [-10682.583] -- 0:01:48
957000 -- [-10681.828] (-10698.623) (-10714.206) (-10696.901) * [-10682.967] (-10700.861) (-10690.014) (-10688.377) -- 0:01:45
958000 -- (-10706.228) (-10688.534) (-10697.499) [-10682.501] * [-10693.094] (-10696.918) (-10694.128) (-10698.210) -- 0:01:43
959000 -- (-10689.016) [-10686.474] (-10706.000) (-10689.101) * (-10681.996) (-10698.280) [-10674.787] (-10693.805) -- 0:01:40
960000 -- [-10688.313] (-10693.315) (-10694.642) (-10705.188) * (-10697.171) (-10700.894) [-10684.697] (-10693.707) -- 0:01:38
Average standard deviation of split frequencies: 0.001282
961000 -- [-10692.838] (-10692.308) (-10694.482) (-10689.425) * [-10704.237] (-10708.295) (-10701.035) (-10695.137) -- 0:01:35
962000 -- (-10696.592) (-10702.021) (-10692.001) [-10678.756] * (-10703.273) (-10694.872) (-10703.991) [-10686.770] -- 0:01:33
963000 -- (-10704.545) (-10687.031) [-10687.610] (-10680.483) * (-10704.591) (-10706.526) [-10690.464] (-10684.880) -- 0:01:30
964000 -- [-10690.905] (-10698.076) (-10696.310) (-10693.666) * (-10698.764) [-10707.085] (-10692.705) (-10692.895) -- 0:01:28
965000 -- (-10692.957) (-10693.464) (-10703.637) [-10683.694] * (-10698.447) [-10693.534] (-10698.953) (-10690.282) -- 0:01:25
Average standard deviation of split frequencies: 0.001291
966000 -- (-10693.490) [-10683.098] (-10704.865) (-10689.391) * (-10700.032) (-10688.048) (-10706.766) [-10686.754] -- 0:01:23
967000 -- (-10695.353) [-10691.626] (-10708.226) (-10690.349) * [-10694.382] (-10688.711) (-10690.386) (-10686.891) -- 0:01:21
968000 -- (-10685.079) [-10687.575] (-10703.680) (-10688.724) * (-10710.890) (-10684.721) (-10689.599) [-10689.558] -- 0:01:18
969000 -- [-10681.159] (-10705.008) (-10700.025) (-10685.460) * (-10702.049) [-10684.945] (-10694.403) (-10687.776) -- 0:01:16
970000 -- [-10691.205] (-10704.413) (-10698.337) (-10701.663) * (-10687.080) (-10697.746) [-10681.577] (-10695.624) -- 0:01:13
Average standard deviation of split frequencies: 0.001238
971000 -- (-10698.814) (-10685.528) (-10691.877) [-10691.053] * (-10694.688) (-10689.722) [-10675.543] (-10695.696) -- 0:01:11
972000 -- (-10686.780) (-10698.913) [-10694.542] (-10694.780) * (-10685.091) (-10699.124) [-10693.778] (-10695.906) -- 0:01:08
973000 -- [-10682.871] (-10695.574) (-10691.928) (-10695.169) * (-10701.252) (-10699.091) [-10675.826] (-10694.794) -- 0:01:06
974000 -- [-10686.514] (-10698.966) (-10688.291) (-10694.167) * (-10691.499) [-10700.277] (-10688.311) (-10684.096) -- 0:01:03
975000 -- [-10685.110] (-10693.232) (-10698.667) (-10693.366) * [-10689.797] (-10676.555) (-10695.980) (-10690.038) -- 0:01:01
Average standard deviation of split frequencies: 0.001340
976000 -- [-10683.389] (-10693.843) (-10704.553) (-10694.374) * (-10703.573) (-10685.595) (-10704.839) [-10680.625] -- 0:00:58
977000 -- [-10689.430] (-10679.864) (-10704.817) (-10689.584) * [-10682.984] (-10685.105) (-10690.828) (-10686.481) -- 0:00:56
978000 -- [-10683.288] (-10687.018) (-10688.345) (-10694.670) * (-10687.612) (-10691.196) (-10695.521) [-10691.775] -- 0:00:54
979000 -- (-10705.399) (-10695.710) [-10681.569] (-10686.476) * [-10680.788] (-10692.487) (-10681.903) (-10706.495) -- 0:00:51
980000 -- (-10702.018) (-10681.468) (-10694.869) [-10684.144] * (-10691.005) (-10689.996) [-10686.772] (-10694.764) -- 0:00:49
Average standard deviation of split frequencies: 0.001427
981000 -- (-10692.988) [-10680.496] (-10690.953) (-10688.292) * [-10689.861] (-10695.730) (-10689.154) (-10679.128) -- 0:00:46
982000 -- [-10691.078] (-10684.442) (-10702.375) (-10692.703) * (-10700.001) (-10701.405) [-10697.476] (-10689.655) -- 0:00:44
983000 -- (-10697.072) (-10691.305) [-10690.567] (-10712.934) * (-10691.024) (-10697.661) [-10689.658] (-10686.994) -- 0:00:41
984000 -- (-10683.776) (-10690.796) [-10677.130] (-10694.957) * (-10692.781) (-10691.079) [-10694.168] (-10694.354) -- 0:00:39
985000 -- (-10685.626) [-10683.587] (-10685.681) (-10683.980) * (-10691.279) (-10690.918) [-10681.391] (-10694.660) -- 0:00:36
Average standard deviation of split frequencies: 0.001403
986000 -- (-10690.398) (-10697.853) [-10689.595] (-10692.727) * (-10691.022) (-10701.570) [-10691.071] (-10701.694) -- 0:00:34
987000 -- [-10683.639] (-10693.744) (-10694.575) (-10697.255) * (-10691.603) (-10694.210) (-10684.395) [-10679.581] -- 0:00:31
988000 -- [-10680.881] (-10701.612) (-10704.912) (-10687.996) * (-10703.757) [-10695.056] (-10694.052) (-10689.546) -- 0:00:29
989000 -- [-10688.785] (-10692.235) (-10689.221) (-10695.545) * (-10690.974) (-10691.080) (-10704.022) [-10689.539] -- 0:00:27
990000 -- (-10699.007) (-10681.858) [-10690.331] (-10697.502) * (-10696.883) (-10688.374) (-10702.693) [-10681.966] -- 0:00:24
Average standard deviation of split frequencies: 0.001381
991000 -- (-10695.748) (-10694.305) [-10679.984] (-10690.621) * (-10714.396) [-10683.269] (-10689.994) (-10683.785) -- 0:00:22
992000 -- (-10683.059) (-10697.515) [-10691.872] (-10698.219) * [-10685.594] (-10699.342) (-10698.761) (-10679.599) -- 0:00:19
993000 -- (-10690.130) [-10679.166] (-10706.506) (-10702.696) * (-10676.196) [-10681.048] (-10697.778) (-10687.199) -- 0:00:17
994000 -- [-10679.020] (-10697.138) (-10704.792) (-10703.525) * (-10709.390) [-10689.787] (-10692.798) (-10682.736) -- 0:00:14
995000 -- [-10678.616] (-10687.928) (-10684.709) (-10709.831) * (-10687.996) (-10693.022) (-10690.750) [-10680.110] -- 0:00:12
Average standard deviation of split frequencies: 0.001588
996000 -- (-10684.478) [-10681.542] (-10696.194) (-10694.918) * (-10692.311) (-10684.019) (-10700.985) [-10684.461] -- 0:00:09
997000 -- (-10691.655) [-10687.952] (-10691.027) (-10696.868) * (-10682.102) (-10683.104) (-10698.497) [-10686.650] -- 0:00:07
998000 -- (-10696.870) (-10689.322) [-10689.236] (-10703.624) * [-10686.698] (-10688.574) (-10693.037) (-10697.811) -- 0:00:04
999000 -- (-10697.354) (-10689.977) [-10677.195] (-10692.096) * (-10699.357) [-10688.532] (-10706.218) (-10684.734) -- 0:00:02
1000000 -- (-10676.724) [-10683.218] (-10696.650) (-10701.511) * (-10695.671) (-10697.831) (-10689.263) [-10688.002] -- 0:00:00
Average standard deviation of split frequencies: 0.001535
Analysis completed in 40 mins 57 seconds
Analysis used 2453.94 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -10667.67
Likelihood of best state for "cold" chain of run 2 was -10668.29
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
26.1 % ( 22 %) Dirichlet(Revmat{all})
41.6 % ( 35 %) Slider(Revmat{all})
9.4 % ( 12 %) Dirichlet(Pi{all})
21.8 % ( 24 %) Slider(Pi{all})
31.6 % ( 31 %) Multiplier(Alpha{1,2})
45.7 % ( 27 %) Multiplier(Alpha{3})
40.2 % ( 20 %) Slider(Pinvar{all})
4.0 % ( 5 %) ExtSPR(Tau{all},V{all})
2.2 % ( 1 %) ExtTBR(Tau{all},V{all})
6.0 % ( 4 %) NNI(Tau{all},V{all})
6.4 % ( 6 %) ParsSPR(Tau{all},V{all})
26.3 % ( 26 %) Multiplier(V{all})
32.4 % ( 29 %) Nodeslider(V{all})
24.0 % ( 16 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
26.1 % ( 20 %) Dirichlet(Revmat{all})
42.4 % ( 21 %) Slider(Revmat{all})
9.2 % ( 15 %) Dirichlet(Pi{all})
22.0 % ( 27 %) Slider(Pi{all})
31.4 % ( 28 %) Multiplier(Alpha{1,2})
46.5 % ( 24 %) Multiplier(Alpha{3})
40.1 % ( 29 %) Slider(Pinvar{all})
4.2 % ( 2 %) ExtSPR(Tau{all},V{all})
2.2 % ( 3 %) ExtTBR(Tau{all},V{all})
6.0 % ( 8 %) NNI(Tau{all},V{all})
6.5 % ( 6 %) ParsSPR(Tau{all},V{all})
26.4 % ( 32 %) Multiplier(V{all})
32.0 % ( 36 %) Nodeslider(V{all})
24.0 % ( 31 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.65 0.38 0.20
2 | 166331 0.68 0.42
3 | 166885 166613 0.70
4 | 167070 166560 166541
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.65 0.39 0.21
2 | 166081 0.68 0.42
3 | 166156 166829 0.70
4 | 167233 166542 167159
Upper diagonal: Proportion of successful state exchanges between chains
Lower diagonal: Number of attempted state exchanges between chains
Chain information:
ID -- Heat
-----------
1 -- 1.00 (cold chain)
2 -- 0.91
3 -- 0.83
4 -- 0.77
Heat = 1 / (1 + T * (ID - 1))
(where T = 0.10 is the temperature and ID is the chain number)
Setting burn-in to 2500
Summarizing parameters in files /data/mrbayes_input.nex.run1.p and /data/mrbayes_input.nex.run2.p
Writing summary statistics to file /data/mrbayes_input.nex.pstat
Using relative burnin ('relburnin=yes'), discarding the first 25 % of samples
Below are rough plots of the generation (x-axis) versus the log
probability of observing the data (y-axis). You can use these
graphs to determine what the burn in for your analysis should be.
When the log probability starts to plateau you may be at station-
arity. Sample trees and parameters after the log probability
plateaus. Of course, this is not a guarantee that you are at sta-
tionarity. Also examine the convergence diagnostics provided by
the 'sump' and 'sumt' commands for all the parameters in your
model. Remember that the burn in is the number of samples to dis-
card. There are a total of ngen / samplefreq samples taken during
a MCMC analysis.
Overlay plot for both runs:
(1 = Run number 1; 2 = Run number 2; * = Both runs)
+------------------------------------------------------------+ -10683.36
|2 2 |
| 2 2 2 2 |
| 2 2 2 11 21 |
| 2 2 2 1 2 2 11|
| 1 * 1 2 1 2 2 1 2 2 2 12111 2|
| 2 21 * 11 1 2 11 1 1 2 |
| 2 1 1 1 1 2 112 1 1 1 1 1 |
| 1 2 2 22 2 2 1 2 1*12 1 1 21 |
|1 * 12 1 * 1 1 1 2 21 2 2 2 |
| 1 2 2 1 * 1 2 2 |
| 2 1 12 2 |
| 1 1 |
| |
| 2 |
| 2 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -10691.83
^ ^
250000 1000000
Estimated marginal likelihoods for runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
(Use the harmonic mean for Bayes factor comparisons of models)
(Values are saved to the file /data/mrbayes_input.nex.lstat)
Run Arithmetic mean Harmonic mean
--------------------------------------
1 -10676.01 -10703.42
2 -10677.31 -10703.75
--------------------------------------
TOTAL -10676.46 -10703.60
--------------------------------------
Model parameter summaries over the runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
Summaries are based on a total of 3002 samples from 2 runs.
Each run produced 2001 samples of which 1501 samples were included.
Parameter summaries saved to file "/data/mrbayes_input.nex.pstat".
95% HPD Interval
--------------------
Parameter Mean Variance Lower Upper Median min ESS* avg ESS PSRF+
------------------------------------------------------------------------------------------------------
TL{all} 0.251391 0.000160 0.227165 0.275376 0.250965 1501.00 1501.00 1.000
r(A<->C){all} 0.100586 0.000177 0.074979 0.125901 0.100046 964.52 982.23 1.000
r(A<->G){all} 0.155914 0.000226 0.129011 0.187240 0.155032 823.30 871.83 1.000
r(A<->T){all} 0.070006 0.000059 0.055664 0.085667 0.069700 758.04 878.36 1.000
r(C<->G){all} 0.061114 0.000153 0.038804 0.086681 0.060751 814.97 930.89 1.000
r(C<->T){all} 0.554838 0.000475 0.510228 0.595691 0.553959 585.39 697.54 1.002
r(G<->T){all} 0.057542 0.000063 0.042568 0.073095 0.057181 941.35 998.23 1.000
pi(A){all} 0.281704 0.000046 0.267926 0.294071 0.281823 846.22 1002.47 1.000
pi(C){all} 0.161254 0.000028 0.150508 0.171203 0.161094 986.04 1030.32 1.001
pi(G){all} 0.194375 0.000035 0.182268 0.205338 0.194225 923.04 1052.56 1.001
pi(T){all} 0.362668 0.000053 0.348547 0.377005 0.362775 1033.54 1037.17 1.000
alpha{1,2} 0.303915 0.004324 0.185577 0.435781 0.296509 1094.17 1124.30 1.000
alpha{3} 2.728785 1.267012 0.973955 4.976124 2.517594 1155.41 1190.68 1.000
pinvar{all} 0.496602 0.002715 0.396250 0.596268 0.501074 673.12 771.37 1.001
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
Setting sumt conformat to Simple
Setting urn-in to 2500
Summarizing trees in files "/data/mrbayes_input.nex.run1.t" and "/data/mrbayes_input.nex.run2.t"
Using relative burnin ('relburnin=yes'), discarding the first 25 % of sampled trees
Writing statistics to files /data/mrbayes_input.nex.<parts|tstat|vstat|trprobs|con>
Examining first file ...
Found one tree block in file "/data/mrbayes_input.nex.run1.t" with 2001 trees in last block
Expecting the same number of trees in the last tree block of all files
Tree reading status:
0 10 20 30 40 50 60 70 80 90 100
v-------v-------v-------v-------v-------v-------v-------v-------v-------v-------v
*********************************************************************************
Read a total of 4002 trees in 2 files (sampling 3002 of them)
(Each file contained 2001 trees of which 1501 were sampled)
General explanation:
In an unrooted tree, a taxon bipartition (split) is specified by removing a
branch, thereby dividing the species into those to the left and those to the
right of the branch. Here, taxa to one side of the removed branch are denoted
'.' and those to the other side are denoted '*'. Specifically, the '.' symbol
is used for the taxa on the same side as the outgroup.
In a rooted or clock tree, the tree is rooted using the model and not by
reference to an outgroup. Each bipartition therefore corresponds to a clade,
that is, a group that includes all the descendants of a particular branch in
the tree. Taxa that are included in each clade are denoted using '*', and
taxa that are not included are denoted using the '.' symbol.
The output first includes a key to all the bipartitions with frequency larger
or equual to (Minpartfreq) in at least one run. Minpartfreq is a parameter to
sumt command and currently it is set to 0.10. This is followed by a table
with statistics for the informative bipartitions (those including at least
two taxa), sorted from highest to lowest probability. For each bipartition,
the table gives the number of times the partition or split was observed in all
runs (#obs) and the posterior probability of the bipartition (Probab.), which
is the same as the split frequency. If several runs are summarized, this is
followed by the minimum split frequency (Min(s)), the maximum frequency
(Max(s)), and the standard deviation of frequencies (Stddev(s)) across runs.
The latter value should approach 0 for all bipartitions as MCMC runs converge.
This is followed by a table summarizing branch lengths, node heights (if a
clock model was used) and relaxed clock parameters (if a relaxed clock model
was used). The mean, variance, and 95 % credible interval are given for each
of these parameters. If several runs are summarized, the potential scale
reduction factor (PSRF) is also given; it should approach 1 as runs converge.
Node heights will take calibration points into account, if such points were
used in the analysis.
Note that Stddev may be unreliable if the partition is not present in all
runs (the last column indicates the number of runs that sampled the partition
if more than one run is summarized). The PSRF is not calculated at all if
the partition is not present in all runs.The PSRF is also sensitive to small
sample sizes and it should only be considered a rough guide to convergence
since some of the assumptions allowing one to interpret it as a true potential
scale reduction factor are violated in MrBayes.
List of taxa in bipartitions:
1 -- C216
2 -- C298
3 -- C85
4 -- C161
5 -- C237
6 -- C269
7 -- C47
8 -- C19
9 -- C22
10 -- C61
11 -- C4
12 -- C29
13 -- C182
14 -- C251
15 -- C192
16 -- C235
17 -- C66
18 -- C279
19 -- C94
20 -- C122
21 -- C64
22 -- C30
23 -- C130
24 -- C71
25 -- C8
26 -- C135
27 -- C134
28 -- C45
29 -- C83
30 -- C142
Key to taxon bipartitions (saved to file "/data/mrbayes_input.nex.parts"):
ID -- Partition
------------------------------------
1 -- .*****************************
2 -- .*............................
3 -- ..*...........................
4 -- ...*..........................
5 -- ....*.........................
6 -- .....*........................
7 -- ......*.......................
8 -- .......*......................
9 -- ........*.....................
10 -- .........*....................
11 -- ..........*...................
12 -- ...........*..................
13 -- ............*.................
14 -- .............*................
15 -- ..............*...............
16 -- ...............*..............
17 -- ................*.............
18 -- .................*............
19 -- ..................*...........
20 -- ...................*..........
21 -- ....................*.........
22 -- .....................*........
23 -- ......................*.......
24 -- .......................*......
25 -- ........................*.....
26 -- .........................*....
27 -- ..........................*...
28 -- ...........................*..
29 -- ............................*.
30 -- .............................*
31 -- ....***....*.*.*...*..*..**..*
32 -- ....**.......*.*...*..*..**..*
33 -- ....*........................*
34 -- ...............*......*...*...
35 -- ..*...............*.*.......*.
36 -- .*.....*.*..............*.....
37 -- ..*...............*...........
38 -- .*.......*....................
39 -- ......................*...*...
40 -- .*.....*.*....................
41 -- ....***....*.*.*.*.*..*..**..*
42 -- ....***....***.***.*..**.**..*
43 -- .*..****.*.***.***.*..*****..*
44 -- ....***....*.*.***.*..**.**..*
45 -- ..**....*.*.......*.**.....**.
46 -- ...*....*.....................
47 -- ......*....*..................
48 -- ..*...............*.........*.
49 -- ....*..............*.........*
50 -- ..**....*.*.......*.*.......*.
51 -- .*..****.*.*******.*..*****..*
52 -- ....***....*.*.*.*.*..**.**..*
53 -- ...*....*.*...................
54 -- ....*........*.*...*..*..**..*
55 -- ....*........*.....*.....*...*
56 -- ....*........*.....*.........*
57 -- ..**....*.*.......*.*......**.
58 -- .....................*.....*..
59 -- ..**....*.*.......*.**......*.
60 -- .............*...........*....
61 -- .....*...................*....
------------------------------------
Summary statistics for informative taxon bipartitions
(saved to file "/data/mrbayes_input.nex.tstat"):
ID #obs Probab. Sd(s)+ Min(s) Max(s) Nruns
----------------------------------------------------------------
31 3002 1.000000 0.000000 1.000000 1.000000 2
32 3002 1.000000 0.000000 1.000000 1.000000 2
33 3002 1.000000 0.000000 1.000000 1.000000 2
34 3002 1.000000 0.000000 1.000000 1.000000 2
35 3002 1.000000 0.000000 1.000000 1.000000 2
36 3002 1.000000 0.000000 1.000000 1.000000 2
37 3002 1.000000 0.000000 1.000000 1.000000 2
38 3002 1.000000 0.000000 1.000000 1.000000 2
39 3002 1.000000 0.000000 1.000000 1.000000 2
40 3002 1.000000 0.000000 1.000000 1.000000 2
41 3002 1.000000 0.000000 1.000000 1.000000 2
42 3002 1.000000 0.000000 1.000000 1.000000 2
43 3002 1.000000 0.000000 1.000000 1.000000 2
44 3002 1.000000 0.000000 1.000000 1.000000 2
45 3002 1.000000 0.000000 1.000000 1.000000 2
46 3002 1.000000 0.000000 1.000000 1.000000 2
47 3002 1.000000 0.000000 1.000000 1.000000 2
48 3002 1.000000 0.000000 1.000000 1.000000 2
49 3002 1.000000 0.000000 1.000000 1.000000 2
50 3000 0.999334 0.000942 0.998668 1.000000 2
51 2908 0.968688 0.002827 0.966689 0.970686 2
52 2780 0.926049 0.002827 0.924051 0.928048 2
53 2762 0.920053 0.004711 0.916722 0.923384 2
54 2590 0.862758 0.004711 0.859427 0.866089 2
55 2536 0.844770 0.003769 0.842105 0.847435 2
56 2157 0.718521 0.010835 0.710859 0.726183 2
57 1011 0.336775 0.005182 0.333111 0.340440 2
58 998 0.332445 0.001884 0.331113 0.333777 2
59 993 0.330779 0.003298 0.328448 0.333111 2
60 623 0.207528 0.002355 0.205863 0.209194 2
61 409 0.136243 0.004240 0.133245 0.139241 2
----------------------------------------------------------------
+ Convergence diagnostic (standard deviation of split frequencies)
should approach 0.0 as runs converge.
Summary statistics for branch and node parameters
(saved to file "/data/mrbayes_input.nex.vstat"):
95% HPD Interval
--------------------
Parameter Mean Variance Lower Upper Median PSRF+ Nruns
-------------------------------------------------------------------------------------------
length{all}[1] 0.001891 0.000001 0.000532 0.003357 0.001779 1.000 2
length{all}[2] 0.001324 0.000000 0.000349 0.002477 0.001240 1.000 2
length{all}[3] 0.001315 0.000000 0.000399 0.002540 0.001224 1.000 2
length{all}[4] 0.000794 0.000000 0.000070 0.001733 0.000708 1.000 2
length{all}[5] 0.000260 0.000000 0.000000 0.000749 0.000183 1.000 2
length{all}[6] 0.004925 0.000001 0.002705 0.007428 0.004833 1.000 2
length{all}[7] 0.006622 0.000002 0.004062 0.009524 0.006539 1.000 2
length{all}[8] 0.001565 0.000000 0.000427 0.002830 0.001471 1.000 2
length{all}[9] 0.001046 0.000000 0.000196 0.002079 0.000942 1.000 2
length{all}[10] 0.000507 0.000000 0.000008 0.001229 0.000422 1.001 2
length{all}[11] 0.002953 0.000001 0.001293 0.004769 0.002848 1.000 2
length{all}[12] 0.007554 0.000002 0.004700 0.010577 0.007405 1.000 2
length{all}[13] 0.007237 0.000003 0.003600 0.010604 0.007182 1.000 2
length{all}[14] 0.001712 0.000001 0.000523 0.003149 0.001612 1.000 2
length{all}[15] 0.003645 0.000001 0.001725 0.005905 0.003569 1.001 2
length{all}[16] 0.003733 0.000001 0.001768 0.005648 0.003662 1.000 2
length{all}[17] 0.019239 0.000008 0.014154 0.024640 0.019114 1.000 2
length{all}[18] 0.006231 0.000002 0.003685 0.008866 0.006155 1.000 2
length{all}[19] 0.000526 0.000000 0.000006 0.001256 0.000441 1.000 2
length{all}[20] 0.001851 0.000001 0.000610 0.003214 0.001776 1.000 2
length{all}[21] 0.001853 0.000000 0.000661 0.003282 0.001752 1.000 2
length{all}[22] 0.000528 0.000000 0.000000 0.001284 0.000440 1.000 2
length{all}[23] 0.000273 0.000000 0.000000 0.000817 0.000188 1.001 2
length{all}[24] 0.005132 0.000002 0.002778 0.007673 0.005003 1.000 2
length{all}[25] 0.002478 0.000001 0.000773 0.004196 0.002375 1.000 2
length{all}[26] 0.005308 0.000002 0.002901 0.007828 0.005243 1.000 2
length{all}[27] 0.000522 0.000000 0.000018 0.001207 0.000443 1.000 2
length{all}[28] 0.000532 0.000000 0.000000 0.001257 0.000442 1.001 2
length{all}[29] 0.007328 0.000002 0.004555 0.010195 0.007221 1.000 2
length{all}[30] 0.000522 0.000000 0.000012 0.001212 0.000445 1.000 2
length{all}[31] 0.002764 0.000001 0.000943 0.004713 0.002652 1.000 2
length{all}[32] 0.003032 0.000001 0.001124 0.005335 0.002905 1.000 2
length{all}[33] 0.001041 0.000000 0.000158 0.002150 0.000944 1.000 2
length{all}[34] 0.002019 0.000001 0.000719 0.003563 0.001926 1.000 2
length{all}[35] 0.004800 0.000001 0.002689 0.007173 0.004686 1.003 2
length{all}[36] 0.005423 0.000002 0.002782 0.008164 0.005326 1.000 2
length{all}[37] 0.001030 0.000000 0.000174 0.002096 0.000937 1.000 2
length{all}[38] 0.001566 0.000000 0.000458 0.002812 0.001485 1.000 2
length{all}[39] 0.004129 0.000001 0.002168 0.006347 0.004033 1.000 2
length{all}[40] 0.002042 0.000001 0.000464 0.003659 0.001921 1.000 2
length{all}[41] 0.003569 0.000001 0.001571 0.005869 0.003459 1.000 2
length{all}[42] 0.010584 0.000005 0.006402 0.015087 0.010492 1.000 2
length{all}[43] 0.018734 0.000007 0.013627 0.023789 0.018657 1.000 2
length{all}[44] 0.056770 0.000030 0.046325 0.067669 0.056577 1.000 2
length{all}[45] 0.010558 0.000003 0.007117 0.014186 0.010452 1.000 2
length{all}[46] 0.002970 0.000001 0.001263 0.004616 0.002891 1.000 2
length{all}[47] 0.004135 0.000001 0.001913 0.006474 0.004073 1.000 2
length{all}[48] 0.001877 0.000001 0.000611 0.003342 0.001778 1.000 2
length{all}[49] 0.005800 0.000002 0.003437 0.008347 0.005708 1.000 2
length{all}[50] 0.000829 0.000000 0.000089 0.001739 0.000742 1.000 2
length{all}[51] 0.001776 0.000001 0.000400 0.003383 0.001683 1.001 2
length{all}[52] 0.002501 0.000002 0.000412 0.004906 0.002343 1.000 2
length{all}[53] 0.000546 0.000000 0.000000 0.001288 0.000464 1.000 2
length{all}[54] 0.001798 0.000001 0.000462 0.003317 0.001713 1.000 2
length{all}[55] 0.001067 0.000000 0.000149 0.002239 0.000970 1.000 2
length{all}[56] 0.000579 0.000000 0.000003 0.001479 0.000479 1.000 2
length{all}[57] 0.000292 0.000000 0.000001 0.000856 0.000213 0.999 2
length{all}[58] 0.000256 0.000000 0.000000 0.000730 0.000176 1.000 2
length{all}[59] 0.000292 0.000000 0.000000 0.000867 0.000195 0.999 2
length{all}[60] 0.000453 0.000000 0.000002 0.001139 0.000357 1.001 2
length{all}[61] 0.001722 0.000000 0.000526 0.003085 0.001661 1.001 2
-------------------------------------------------------------------------------------------
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge. NA is reported when
deviation of parameter values within all runs is 0 or when a parameter
value (a branch length, for instance) is not sampled in all runs.
Summary statistics for partitions with frequency >= 0.10 in at least one run:
Average standard deviation of split frequencies = 0.001535
Maximum standard deviation of split frequencies = 0.010835
Average PSRF for parameter values (excluding NA and >10.0) = 1.000
Maximum PSRF for parameter values = 1.003
Clade credibility values:
/--------------------------------------------------------------------- C216 (1)
|
| /----- C85 (3)
| /-100+
| | \----- C94 (19)
| /-100+
| | \---------- C83 (29)
| /-100+
| | \--------------- C64 (21)
| |
| /-100+ /----- C161 (4)
| | | /-100+
| | | | \----- C22 (9)
| | \----92---+
|--------------------100--------------------+ \---------- C4 (11)
| |
| |------------------------- C30 (22)
| |
| \------------------------- C45 (28)
|
| /----- C298 (2)
| /-100+
| | \----- C61 (10)
| /-100+
| | \---------- C19 (8)
+ /--------------------100--------------------+
| | \--------------- C8 (25)
| |
| | /----- C237 (5)
| | /-100+
| | | \----- C142 (30)
| | /-100+
| | | \---------- C122 (20)
| | /-72-+
| | | \--------------- C251 (14)
| | /-84-+
| | | \-------------------- C135 (26)
| | |
| | /-86-+ /---------- C235 (16)
| | | | |
| /-100+ | \------100-----+ /----- C130 (23)
| | | /100+ \-100+
| | | | | \----- C134 (27)
| | | | |
| | | /-100+ \------------------------------ C269 (6)
| | | | |
| | | | | /----- C47 (7)
| | | /-100+ \-------------100------------+
| | | | | \----- C29 (12)
\-97-+ | | |
| | /-93-+ \--------------------------------------- C279 (18)
| | | |
| | /-100+ \-------------------------------------------- C71 (24)
| | | |
| \-100+ \------------------------------------------------- C66 (17)
| |
| \------------------------------------------------------ C182 (13)
|
\---------------------------------------------------------------- C192 (15)
Phylogram (based on average branch lengths):
/- C216 (1)
|
| / C85 (3)
| /+
| |\ C94 (19)
| /+
| |\----- C83 (29)
| /--+
| | \- C64 (21)
| |
| | /- C161 (4)
| |-+
| | \- C22 (9)
| |
|------+-- C4 (11)
| |
| | C30 (22)
| |
| \ C45 (28)
|
| /- C298 (2)
| /+
| |\- C61 (10)
| /+
| |\- C19 (8)
+ /--+
| | \-- C8 (25)
| |
| | /- C237 (5)
| | |
| | |- C142 (30)
| | /---+
| | | \- C122 (20)
| | |
| | |- C251 (14)
| | /+
| | |\--- C135 (26)
| | |
| | /+ /-- C235 (16)
| | || |
|/-----------+ |\-+ / C130 (23)
|| | /-+ \-+
|| | | | \ C134 (27)
|| | | |
|| | /+ \--- C269 (6)
|| | ||
|| | || /---- C47 (7)
|| | /-+\--+
|| | | | \----- C29 (12)
\+ | | |
| | /-+ \---- C279 (18)
| | | |
| | /-----------------------------------+ \--- C71 (24)
| | | |
| \-----+ \------------ C66 (17)
| |
| \----- C182 (13)
|
\-- C192 (15)
|-----------| 0.020 expected changes per site
Calculating tree probabilities...
Credible sets of trees (153 trees sampled):
50 % credible set contains 4 trees
90 % credible set contains 32 trees
95 % credible set contains 55 trees
99 % credible set contains 123 trees
Exiting mrbayes block
Reached end of file
Tasks completed, exiting program because mode is noninteractive
To return control to the command line after completion of file processing,
set mode to interactive with 'mb -i <filename>' (i is for interactive)
or use 'set mode=interactive'
-- Starting log on Fri Nov 18 14:39:17 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10633_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Sat Nov 19 06:01:04 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10633_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/codeml,DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10633_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1--
CODONML in paml version 4.9h, March 2018
----------------------------------------------
Phe F TTT | Ser S TCT | Tyr Y TAT | Cys C TGT
TTC | TCC | TAC | TGC
Leu L TTA | TCA | *** * TAA | *** * TGA
TTG | TCG | TAG | Trp W TGG
----------------------------------------------
Leu L CTT | Pro P CCT | His H CAT | Arg R CGT
CTC | CCC | CAC | CGC
CTA | CCA | Gln Q CAA | CGA
CTG | CCG | CAG | CGG
----------------------------------------------
Ile I ATT | Thr T ACT | Asn N AAT | Ser S AGT
ATC | ACC | AAC | AGC
ATA | ACA | Lys K AAA | Arg R AGA
Met M ATG | ACG | AAG | AGG
----------------------------------------------
Val V GTT | Ala A GCT | Asp D GAT | Gly G GGT
GTC | GCC | GAC | GGC
GTA | GCA | Glu E GAA | GGA
GTG | GCG | GAG | GGG
----------------------------------------------
Nice code, uuh?
NSsites batch run (ncatG as in YNGP2000): 1 2 7 8
processing fasta file
reading seq# 1 C251 4161 sites
reading seq# 2 C235 4161 sites
reading seq# 3 C192 4161 sites
reading seq# 4 C4 4161 sites
reading seq# 5 C279 4161 sites
reading seq# 6 C66 4161 sites
reading seq# 7 C94 4161 sites
reading seq# 8 C182 4161 sites
reading seq# 9 C45 4161 sites
reading seq#10 C122 4161 sites
reading seq#11 C298 4161 sites
reading seq#12 C216 4161 sites
reading seq#13 C85 4161 sites
reading seq#14 C64 4161 sites
reading seq#15 C30 4161 sites
reading seq#16 C237 4161 sites
reading seq#17 C161 4161 sites
reading seq#18 C269 4161 sites
reading seq#19 C71 4161 sites
reading seq#20 C130 4161 sites
reading seq#21 C19 4161 sites
reading seq#22 C47 4161 sites
reading seq#23 C135 4161 sites
reading seq#24 C134 4161 sites
reading seq#25 C8 4161 sites
reading seq#26 C61 4161 sites
reading seq#27 C22 4161 sites
reading seq#28 C142 4161 sites
reading seq#29 C83 4161 sites
reading seq#30 C29 4161 sitesns = 30 ls = 4161
Reading sequences, sequential format..
Reading seq # 1: C251
Reading seq # 2: C235
Reading seq # 3: C192
Reading seq # 4: C4
Reading seq # 5: C279
Reading seq # 6: C66
Reading seq # 7: C94
Reading seq # 8: C182
Reading seq # 9: C45
Reading seq #10: C122
Reading seq #11: C298
Reading seq #12: C216
Reading seq #13: C85
Reading seq #14: C64
Reading seq #15: C30
Reading seq #16: C237
Reading seq #17: C161
Reading seq #18: C269
Reading seq #19: C71
Reading seq #20: C130
Reading seq #21: C19
Reading seq #22: C47
Reading seq #23: C135
Reading seq #24: C134
Reading seq #25: C8
Reading seq #26: C61
Reading seq #27: C22
Reading seq #28: C142
Reading seq #29: C83
Reading seq #30: C29
Sites with gaps or missing data are removed.
72 ambiguity characters in seq. 1
72 ambiguity characters in seq. 2
81 ambiguity characters in seq. 3
87 ambiguity characters in seq. 4
72 ambiguity characters in seq. 5
72 ambiguity characters in seq. 6
87 ambiguity characters in seq. 7
93 ambiguity characters in seq. 8
87 ambiguity characters in seq. 9
72 ambiguity characters in seq. 10
75 ambiguity characters in seq. 11
78 ambiguity characters in seq. 12
87 ambiguity characters in seq. 13
87 ambiguity characters in seq. 14
87 ambiguity characters in seq. 15
72 ambiguity characters in seq. 16
84 ambiguity characters in seq. 17
72 ambiguity characters in seq. 18
72 ambiguity characters in seq. 19
72 ambiguity characters in seq. 20
75 ambiguity characters in seq. 21
72 ambiguity characters in seq. 22
72 ambiguity characters in seq. 23
72 ambiguity characters in seq. 24
75 ambiguity characters in seq. 25
75 ambiguity characters in seq. 26
87 ambiguity characters in seq. 27
72 ambiguity characters in seq. 28
87 ambiguity characters in seq. 29
72 ambiguity characters in seq. 30
47 sites are removed. 23 24 25 26 27 119 154 155 156 157 265 266 267 268 504 505 506 507 508 509 513 514 515 516 517 518 519 520 521 540 541 542 543 545 546 547 548 549 550 561 562 563 567 568 569 749 1235
Sequences read..
Counting site patterns.. 0:00
Compressing, 493 patterns at 1340 / 1340 sites (100.0%), 0:00
Collecting fpatt[] & pose[], 493 patterns at 1340 / 1340 sites (100.0%), 0:00
Counting codons..
3480 bytes for distance
481168 bytes for conP
43384 bytes for fhK
5000000 bytes for space
Model 1: NearlyNeutral
TREE # 1
(12, (((((13, 7), 29), 14), ((17, 27), 4)), 15, 9), (((((11, 26), 21), 25), (((((((((((16, 28), 10), 1), 23), (2, (20, 24))), 18), (22, 30)), 5), 19), 6), 8)), 3)); MP score: 720
6495768 bytes for conP, adjusted
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
40
0.054723 0.107331 0.067242 0.041646 0.084711 0.033379 0.070023 0.017716 0.078165 0.028333 0.041027 0.085159 0.098608 0.068861 0.059067 0.035372 0.097632 0.064382 0.087536 0.047270 0.013456 0.046464 0.018219 0.093244 0.095553 0.078438 0.034157 0.023914 0.060036 0.046162 0.083737 0.030138 0.055500 0.065878 0.033198 0.055700 0.093997 0.020092 0.039748 0.109121 0.076835 0.107424 0.062472 0.098025 0.019887 0.067356 0.103214 0.084510 0.058106 0.015822 0.044637 0.034941 0.083919 0.102577 0.027633 0.012623 0.300000 0.656798 0.431377
ntime & nrate & np: 56 2 59
Bounds (np=59):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.000010 0.000001
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 0.999990 1.000000
Qfactor_NS = 10.130163
np = 59
lnL0 = -13315.752487
Iterating by ming2
Initial: fx= 13315.752487
x= 0.05472 0.10733 0.06724 0.04165 0.08471 0.03338 0.07002 0.01772 0.07817 0.02833 0.04103 0.08516 0.09861 0.06886 0.05907 0.03537 0.09763 0.06438 0.08754 0.04727 0.01346 0.04646 0.01822 0.09324 0.09555 0.07844 0.03416 0.02391 0.06004 0.04616 0.08374 0.03014 0.05550 0.06588 0.03320 0.05570 0.09400 0.02009 0.03975 0.10912 0.07683 0.10742 0.06247 0.09803 0.01989 0.06736 0.10321 0.08451 0.05811 0.01582 0.04464 0.03494 0.08392 0.10258 0.02763 0.01262 0.30000 0.65680 0.43138
1 h-m-p 0.0000 0.0000 8424.9035 ++ 12442.290747 m 0.0000 64 | 0/59
2 h-m-p 0.0000 0.0000 21684.7867 ++ 12330.860420 m 0.0000 126 | 0/59
3 h-m-p 0.0000 0.0000 416462.8063 ++ 12329.695298 m 0.0000 188 | 1/59
4 h-m-p 0.0000 0.0000 23484.8237 ++ 11825.766448 m 0.0000 250 | 1/59
5 h-m-p 0.0000 0.0000 31752.8289 ++ 11719.407335 m 0.0000 312 | 1/59
6 h-m-p 0.0000 0.0000 790261.9992 ++ 11652.748951 m 0.0000 374 | 1/59
7 h-m-p 0.0000 0.0000 210619.9063 ++ 11618.270840 m 0.0000 436 | 1/59
8 h-m-p 0.0000 0.0000 77617.8372 ++ 11308.919334 m 0.0000 498 | 1/59
9 h-m-p 0.0000 0.0000 264170.0458 ++ 11149.853828 m 0.0000 560 | 1/59
10 h-m-p 0.0000 0.0000 154126.8388 ++ 11135.882749 m 0.0000 622 | 2/59
11 h-m-p 0.0000 0.0000 327100.0288 ++ 11121.936283 m 0.0000 684 | 2/59
12 h-m-p 0.0000 0.0000 46414.8521 ++ 11077.559253 m 0.0000 746 | 2/59
13 h-m-p 0.0000 0.0000 138321.6432 ++ 11051.834730 m 0.0000 808 | 2/59
14 h-m-p 0.0000 0.0000 87434.1971 ++ 11034.467776 m 0.0000 870 | 2/59
15 h-m-p 0.0000 0.0000 96906.2277 +YYCYYCC 11008.804562 6 0.0000 942 | 2/59
16 h-m-p 0.0000 0.0000 57962.1701 +CYYC 10959.724711 3 0.0000 1010 | 2/59
17 h-m-p 0.0000 0.0000 210005.7838 +CYCCC 10948.761565 4 0.0000 1080 | 2/59
18 h-m-p 0.0000 0.0000 123649.4819 +CYYCC 10934.183535 4 0.0000 1149 | 2/59
19 h-m-p 0.0000 0.0000 74045.2012 +CYYYC 10860.475921 4 0.0000 1217 | 2/59
20 h-m-p 0.0000 0.0000 72907.7423 +YCYCCC 10852.619238 5 0.0000 1288 | 2/59
21 h-m-p 0.0000 0.0000 20722.6298 +CYYYCCCC 10824.571883 7 0.0000 1362 | 2/59
22 h-m-p 0.0000 0.0000 8014.4786 +CYCYCCC 10814.967887 6 0.0000 1435 | 2/59
23 h-m-p 0.0000 0.0000 184351.7228 +YYYCYCCC 10805.589285 7 0.0000 1508 | 2/59
24 h-m-p 0.0000 0.0000 12827.8787 +YCYYYYY 10796.617849 6 0.0000 1578 | 2/59
25 h-m-p 0.0000 0.0000 7381.5492 +YYYYCYCCC 10762.572701 8 0.0000 1652 | 2/59
26 h-m-p 0.0000 0.0000 4220.6534 +CYYCYCCC 10745.187333 7 0.0000 1726 | 2/59
27 h-m-p 0.0000 0.0000 8548.9969 +CYYYC 10714.817830 4 0.0000 1794 | 2/59
28 h-m-p 0.0000 0.0000 9150.4298 +YYYYYC 10693.500501 5 0.0000 1862 | 2/59
29 h-m-p 0.0000 0.0000 16518.7905 ++ 10648.147430 m 0.0000 1924 | 2/59
30 h-m-p -0.0000 -0.0000 14162.6382
h-m-p: -0.00000000e+00 -0.00000000e+00 1.41626382e+04 10648.147430
.. | 2/59
31 h-m-p 0.0000 0.0000 154621.2277 -YCCCCC 10640.979677 5 0.0000 2056 | 2/59
32 h-m-p 0.0000 0.0000 7460.9740 +CYCCC 10598.633799 4 0.0000 2126 | 2/59
33 h-m-p 0.0000 0.0000 5962.9525 +CYCYCCC 10586.009226 6 0.0000 2199 | 2/59
34 h-m-p 0.0000 0.0000 15888.1903 +CYYYCCCC 10571.399674 7 0.0000 2273 | 2/59
35 h-m-p 0.0000 0.0000 14393.7980 +YCYYCC 10562.664132 5 0.0000 2343 | 2/59
36 h-m-p 0.0000 0.0000 16633.7587 +CYYYC 10543.409032 4 0.0000 2411 | 2/59
37 h-m-p 0.0000 0.0000 15693.3353 +CYCYCCC 10530.161596 6 0.0000 2484 | 2/59
38 h-m-p 0.0000 0.0000 5546.2921 +YCYYCCC 10495.252229 6 0.0000 2556 | 2/59
39 h-m-p 0.0000 0.0000 29611.0385 +CYCYCCC 10485.691880 6 0.0000 2629 | 2/59
40 h-m-p 0.0000 0.0000 69952.8103 ++ 10437.174814 m 0.0000 2691 | 2/59
41 h-m-p 0.0000 0.0000 5777.9558 +CYYCYCCC 10391.329118 7 0.0000 2765 | 2/59
42 h-m-p 0.0000 0.0000 20229.9040 ++ 10344.266735 m 0.0000 2827 | 2/59
43 h-m-p 0.0000 0.0000 1029513.5145 +YYCCC 10334.260681 4 0.0000 2896 | 2/59
44 h-m-p 0.0000 0.0000 9691.1907 +YYYCC 10326.616330 4 0.0000 2964 | 2/59
45 h-m-p 0.0000 0.0000 8703.8085 YCCCC 10312.591813 4 0.0000 3033 | 2/59
46 h-m-p 0.0000 0.0000 2577.6392 +YYYCC 10304.059735 4 0.0000 3101 | 2/59
47 h-m-p 0.0000 0.0000 5709.9349 +YYCYCCC 10295.454497 6 0.0000 3173 | 2/59
48 h-m-p 0.0000 0.0000 26756.4770 +YYCCCC 10285.172770 5 0.0000 3244 | 2/59
49 h-m-p 0.0000 0.0000 6732.6834 +YYYCCC 10269.597768 5 0.0000 3314 | 2/59
50 h-m-p 0.0000 0.0000 9331.4401 +YYCCC 10250.361203 4 0.0000 3383 | 2/59
51 h-m-p 0.0000 0.0000 7020.6269 +YCCC 10240.628436 3 0.0000 3451 | 2/59
52 h-m-p 0.0000 0.0000 2430.9350 +YCCC 10237.099150 3 0.0000 3519 | 2/59
53 h-m-p 0.0000 0.0000 1138.4296 +YCYC 10233.638627 3 0.0000 3586 | 2/59
54 h-m-p 0.0000 0.0000 2724.3643 +YC 10231.499127 1 0.0000 3650 | 2/59
55 h-m-p 0.0000 0.0000 1560.5640 ++ 10230.771952 m 0.0000 3712 | 2/59
56 h-m-p -0.0000 -0.0000 2780.1722
h-m-p: -0.00000000e+00 -0.00000000e+00 2.78017218e+03 10230.771952
.. | 2/59
57 h-m-p 0.0000 0.0000 245313.7644 -CCYYCYCYC 10221.947853 8 0.0000 3846 | 2/59
58 h-m-p 0.0000 0.0000 2555.0626 +YYCCC 10214.075865 4 0.0000 3915 | 2/59
59 h-m-p 0.0000 0.0000 2776.8851 +YYYCC 10211.451968 4 0.0000 3983 | 2/59
60 h-m-p 0.0000 0.0000 3417.9827 +YCCC 10208.018682 3 0.0000 4051 | 2/59
61 h-m-p 0.0000 0.0000 2360.1337 +YYYYC 10205.805731 4 0.0000 4118 | 2/59
62 h-m-p 0.0000 0.0000 10004.5019 YCYCCC 10201.679098 5 0.0000 4188 | 2/59
63 h-m-p 0.0000 0.0000 1896.3539 YCCCC 10199.004431 4 0.0000 4257 | 2/59
64 h-m-p 0.0000 0.0000 3170.1710 +YYYCCC 10192.791959 5 0.0000 4327 | 2/59
65 h-m-p 0.0000 0.0000 13768.4909 YCCC 10189.491318 3 0.0000 4394 | 2/59
66 h-m-p 0.0000 0.0000 4076.2273 +YCCC 10186.766301 3 0.0000 4462 | 2/59
67 h-m-p 0.0000 0.0000 3872.9006 +YYCCC 10183.209126 4 0.0000 4531 | 2/59
68 h-m-p 0.0000 0.0000 8745.0886 +YCCC 10180.927466 3 0.0000 4599 | 2/59
69 h-m-p 0.0000 0.0000 9180.1561 +YYCCC 10178.309895 4 0.0000 4668 | 2/59
70 h-m-p 0.0000 0.0000 13634.8566 +YYCYC 10177.151382 4 0.0000 4736 | 2/59
71 h-m-p 0.0000 0.0000 19988.5800 +CYYYC 10169.023886 4 0.0000 4804 | 2/59
72 h-m-p 0.0000 0.0000 31662.0178 +YYYC 10160.602191 3 0.0000 4870 | 2/59
73 h-m-p 0.0000 0.0000 15784.1947 CCC 10154.902708 2 0.0000 4936 | 2/59
74 h-m-p 0.0000 0.0000 5854.1914 YCCC 10152.234650 3 0.0000 5003 | 2/59
75 h-m-p 0.0000 0.0000 4804.9149 CYCCC 10134.189422 4 0.0000 5072 | 2/59
76 h-m-p 0.0000 0.0000 4379.9126 YCCC 10130.738481 3 0.0000 5139 | 2/59
77 h-m-p 0.0000 0.0000 2861.2463 YCCC 10128.353255 3 0.0000 5206 | 2/59
78 h-m-p 0.0000 0.0000 1705.8893 CCC 10127.096167 2 0.0000 5272 | 2/59
79 h-m-p 0.0000 0.0000 1395.5764 YCCCC 10123.440788 4 0.0000 5341 | 2/59
80 h-m-p 0.0000 0.0000 3696.6994 +YYCCCC 10114.323806 5 0.0000 5412 | 2/59
81 h-m-p 0.0000 0.0000 23173.2114 YCCC 10104.218084 3 0.0000 5479 | 2/59
82 h-m-p 0.0000 0.0000 11581.0380 YCCCC 10086.736407 4 0.0000 5548 | 2/59
83 h-m-p 0.0000 0.0000 5316.6071 +YYCYC 10078.824652 4 0.0000 5616 | 2/59
84 h-m-p 0.0000 0.0000 7458.2951 +YCCCC 10071.433512 4 0.0000 5686 | 2/59
85 h-m-p 0.0000 0.0000 8695.2544 YCCC 10061.564380 3 0.0000 5753 | 2/59
86 h-m-p 0.0000 0.0000 4017.7108 YCCC 10053.962923 3 0.0000 5820 | 2/59
87 h-m-p 0.0000 0.0000 7218.6154 CCCC 10045.853524 3 0.0000 5888 | 2/59
88 h-m-p 0.0000 0.0000 5821.3958 +YYCCC 10034.369826 4 0.0000 5957 | 2/59
89 h-m-p 0.0000 0.0000 15686.1501 YCCC 10025.571319 3 0.0000 6024 | 2/59
90 h-m-p 0.0000 0.0000 4553.8416 CCC 10020.056551 2 0.0000 6090 | 2/59
91 h-m-p 0.0000 0.0000 1346.9240 CCC 10019.022065 2 0.0000 6156 | 2/59
92 h-m-p 0.0000 0.0001 507.1653 YYC 10018.629922 2 0.0000 6220 | 2/59
93 h-m-p 0.0000 0.0001 204.5700 YC 10018.536570 1 0.0000 6283 | 2/59
94 h-m-p 0.0000 0.0002 154.6817 CC 10018.479438 1 0.0000 6347 | 2/59
95 h-m-p 0.0000 0.0007 49.2780 YC 10018.468282 1 0.0000 6410 | 2/59
96 h-m-p 0.0000 0.0013 21.1128 YC 10018.465774 1 0.0000 6473 | 2/59
97 h-m-p 0.0000 0.0037 12.6000 YC 10018.464765 1 0.0000 6536 | 2/59
98 h-m-p 0.0000 0.0037 5.4982 C 10018.463813 0 0.0000 6598 | 2/59
99 h-m-p 0.0000 0.0071 7.1021 +YC 10018.459419 1 0.0001 6662 | 2/59
100 h-m-p 0.0000 0.0038 8.3960 +YC 10018.423782 1 0.0001 6726 | 2/59
101 h-m-p 0.0000 0.0017 67.3650 ++CYC 10017.595283 2 0.0003 6793 | 2/59
102 h-m-p 0.0000 0.0001 1488.7406 +YYYYC 10014.173475 4 0.0000 6860 | 2/59
103 h-m-p 0.0000 0.0001 5449.1810 +YYYYC 9999.766302 4 0.0000 6927 | 2/59
104 h-m-p 0.0000 0.0000 6223.7512 YCCCC 9998.518695 4 0.0000 6996 | 2/59
105 h-m-p 0.0000 0.0000 1530.6691 Y 9997.932332 0 0.0000 7058 | 2/59
106 h-m-p 0.0001 0.0007 74.4589 -C 9997.915455 0 0.0000 7121 | 2/59
107 h-m-p 0.0000 0.0012 22.4975 YC 9997.912433 1 0.0000 7184 | 2/59
108 h-m-p 0.0000 0.0026 6.9519 YC 9997.911517 1 0.0000 7247 | 2/59
109 h-m-p 0.0001 0.0233 2.4872 +YC 9997.891982 1 0.0004 7311 | 2/59
110 h-m-p 0.0000 0.0017 44.5150 +YC 9997.685072 1 0.0001 7375 | 2/59
111 h-m-p 0.0000 0.0006 414.8869 ++CCC 9993.749936 2 0.0003 7443 | 2/59
112 h-m-p 0.0000 0.0001 1264.3295 CCCC 9992.827860 3 0.0000 7511 | 2/59
113 h-m-p 0.0005 0.0023 12.7821 -YC 9992.826308 1 0.0000 7575 | 2/59
114 h-m-p 0.0002 0.0407 0.9425 +YC 9992.815746 1 0.0007 7639 | 2/59
115 h-m-p 0.0000 0.0238 24.8434 +++CCC 9990.370508 2 0.0037 7765 | 2/59
116 h-m-p 0.0000 0.0002 3714.4642 YCCC 9985.531570 3 0.0000 7832 | 2/59
117 h-m-p 0.4809 2.4047 0.2985 YC 9981.214219 1 1.0112 7895 | 2/59
118 h-m-p 0.9563 4.7816 0.1801 CCC 9979.331621 2 1.1115 8018 | 2/59
119 h-m-p 1.4143 7.0715 0.0992 CCC 9978.398506 2 1.4573 8141 | 2/59
120 h-m-p 1.6000 8.0000 0.0409 YC 9978.220671 1 0.8421 8261 | 2/59
121 h-m-p 1.6000 8.0000 0.0120 YC 9978.161988 1 1.0509 8381 | 2/59
122 h-m-p 1.6000 8.0000 0.0008 CC 9978.138910 1 1.4608 8502 | 2/59
123 h-m-p 0.9145 8.0000 0.0013 +YC 9978.100890 1 2.7601 8623 | 2/59
124 h-m-p 1.0218 8.0000 0.0034 +YC 9978.027762 1 2.7865 8744 | 2/59
125 h-m-p 0.9292 8.0000 0.0102 +YC 9977.915300 1 2.8640 8865 | 2/59
126 h-m-p 1.6000 8.0000 0.0050 CC 9977.853977 1 1.3564 8986 | 2/59
127 h-m-p 1.3584 8.0000 0.0050 C 9977.815593 0 1.4086 9105 | 2/59
128 h-m-p 1.2809 8.0000 0.0055 CC 9977.802156 1 1.5483 9226 | 2/59
129 h-m-p 1.6000 8.0000 0.0007 YC 9977.799017 1 1.2376 9346 | 2/59
130 h-m-p 0.7197 8.0000 0.0011 YC 9977.797906 1 1.2976 9466 | 2/59
131 h-m-p 1.6000 8.0000 0.0006 Y 9977.797562 0 1.0707 9585 | 2/59
132 h-m-p 1.6000 8.0000 0.0002 Y 9977.797497 0 1.2220 9704 | 2/59
133 h-m-p 1.6000 8.0000 0.0000 C 9977.797477 0 1.3434 9823 | 2/59
134 h-m-p 0.2851 8.0000 0.0001 +C 9977.797472 0 1.1836 9943 | 2/59
135 h-m-p 1.6000 8.0000 0.0000 C 9977.797468 0 2.1621 10062 | 2/59
136 h-m-p 1.6000 8.0000 0.0000 -Y 9977.797468 0 0.1000 10182 | 2/59
137 h-m-p 0.0697 8.0000 0.0000 C 9977.797468 0 0.0761 10301 | 2/59
138 h-m-p 0.1176 8.0000 0.0000 C 9977.797468 0 0.0294 10420 | 2/59
139 h-m-p 0.0160 8.0000 0.0001 -------------.. | 2/59
140 h-m-p 0.0000 0.0119 0.6332 -------- | 2/59
141 h-m-p 0.0000 0.0119 0.6332 --------
Out..
lnL = -9977.797468
10801 lfun, 32403 eigenQcodon, 1209712 P(t)
end of tree file.
Time used: 19:13
Model 2: PositiveSelection
TREE # 1
(12, (((((13, 7), 29), 14), ((17, 27), 4)), 15, 9), (((((11, 26), 21), 25), (((((((((((16, 28), 10), 1), 23), (2, (20, 24))), 18), (22, 30)), 5), 19), 6), 8)), 3)); MP score: 720
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
40
0.085277 0.036775 0.035501 0.018207 0.025511 0.106261 0.072237 0.080620 0.029743 0.061493 0.057505 0.040574 0.109563 0.032960 0.011224 0.055255 0.038735 0.099818 0.065294 0.079695 0.052683 0.056974 0.070446 0.082827 0.082638 0.064100 0.074490 0.072825 0.066646 0.025025 0.101622 0.017652 0.054612 0.020930 0.037505 0.021765 0.099578 0.095791 0.099795 0.094903 0.102423 0.067507 0.048806 0.023914 0.052159 0.013147 0.067992 0.033534 0.079032 0.051757 0.018947 0.097077 0.012589 0.023161 0.050609 0.032961 3.238657 0.819289 0.231000 0.129344 1.528839
ntime & nrate & np: 56 3 61
Bounds (np=61):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 -99.000000 -99.000000 0.000001 1.000000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 99.000000 99.000000 1.000000 999.000000
Qfactor_NS = 4.093380
np = 61
lnL0 = -11663.933372
Iterating by ming2
Initial: fx= 11663.933372
x= 0.08528 0.03678 0.03550 0.01821 0.02551 0.10626 0.07224 0.08062 0.02974 0.06149 0.05751 0.04057 0.10956 0.03296 0.01122 0.05526 0.03873 0.09982 0.06529 0.07969 0.05268 0.05697 0.07045 0.08283 0.08264 0.06410 0.07449 0.07282 0.06665 0.02503 0.10162 0.01765 0.05461 0.02093 0.03750 0.02176 0.09958 0.09579 0.09980 0.09490 0.10242 0.06751 0.04881 0.02391 0.05216 0.01315 0.06799 0.03353 0.07903 0.05176 0.01895 0.09708 0.01259 0.02316 0.05061 0.03296 3.23866 0.81929 0.23100 0.12934 1.52884
1 h-m-p 0.0000 0.0000 4840.2808 ++ 11236.627428 m 0.0000 127 | 1/61
2 h-m-p 0.0000 0.0000 5896.7141 ++ 10895.815957 m 0.0000 252 | 1/61
3 h-m-p 0.0000 0.0000 12252.0713 ++ 10852.882242 m 0.0000 376 | 1/61
4 h-m-p 0.0000 0.0000 78504.8805 ++ 10841.080197 m 0.0000 500 | 1/61
5 h-m-p 0.0000 0.0000 13151.6443
h-m-p: 3.30959387e-23 1.65479694e-22 1.31516443e+04 10841.080197
.. | 1/61
6 h-m-p 0.0000 0.0000 7947.5473 ++ 10665.075275 m 0.0000 745 | 1/61
7 h-m-p 0.0000 0.0000 4208.6861 ++ 10621.461099 m 0.0000 869 | 1/61
8 h-m-p 0.0000 0.0000 11113.3824 ++ 10553.441572 m 0.0000 993 | 1/61
9 h-m-p 0.0000 0.0000 63230.1171 ++ 10495.276010 m 0.0000 1117 | 1/61
10 h-m-p 0.0000 0.0000 52990.7708 +CYCYCCC 10484.851433 6 0.0000 1252 | 1/61
11 h-m-p 0.0000 0.0000 23082.6947 +CYYCYCCC 10470.385008 7 0.0000 1388 | 1/61
12 h-m-p 0.0000 0.0000 11470.0748 ++ 10419.125245 m 0.0000 1512 | 2/61
13 h-m-p 0.0000 0.0000 15516.8794 ++ 10412.530865 m 0.0000 1636 | 3/61
14 h-m-p 0.0000 0.0000 17505.7009 ++ 10385.958903 m 0.0000 1759 | 3/61
15 h-m-p 0.0000 0.0000 16146.8347 +YYYCCC 10370.951801 5 0.0000 1889 | 3/61
16 h-m-p 0.0000 0.0000 15889.2409 +YCYCC 10367.351237 4 0.0000 2018 | 3/61
17 h-m-p 0.0000 0.0000 6935.9840 +YYCCC 10361.399589 4 0.0000 2147 | 3/61
18 h-m-p 0.0000 0.0000 2607.5116 +YYCCC 10353.682359 4 0.0000 2276 | 3/61
19 h-m-p 0.0000 0.0000 5916.8894 +YYCCC 10344.345225 4 0.0000 2405 | 3/61
20 h-m-p 0.0000 0.0000 3301.2144 +YCYCC 10335.993079 4 0.0000 2534 | 3/61
21 h-m-p 0.0000 0.0000 4171.2115 +YYCCC 10328.687880 4 0.0000 2663 | 3/61
22 h-m-p 0.0000 0.0000 8796.6215 +YCCC 10324.980371 3 0.0000 2791 | 3/61
23 h-m-p 0.0000 0.0000 8302.3684 ++ 10320.115487 m 0.0000 2913 | 3/61
24 h-m-p -0.0000 -0.0000 3526.1950
h-m-p: -4.74001120e-22 -2.37000560e-21 3.52619500e+03 10320.115487
.. | 3/61
25 h-m-p 0.0000 0.0000 10182.2261 YYCCC 10307.067331 4 0.0000 3160 | 3/61
26 h-m-p 0.0000 0.0000 2517.5616 ++ 10280.151130 m 0.0000 3282 | 3/61
27 h-m-p 0.0000 0.0000 21302.6018 ++ 10239.820842 m 0.0000 3404 | 3/61
28 h-m-p 0.0000 0.0000 135889.3368 YC 10236.899817 1 0.0000 3527 | 3/61
29 h-m-p 0.0000 0.0000 2731.2695 +YYYC 10233.599079 3 0.0000 3653 | 3/61
30 h-m-p 0.0000 0.0000 4988.9518 +YYYYC 10231.124531 4 0.0000 3780 | 3/61
31 h-m-p 0.0000 0.0000 39561.8777 +YYYYC 10225.630160 4 0.0000 3907 | 3/61
32 h-m-p 0.0000 0.0000 1974.9894 +YYYYYC 10223.315385 5 0.0000 4035 | 3/61
33 h-m-p 0.0000 0.0000 1115.9232 +YYYCCC 10217.565622 5 0.0000 4165 | 3/61
34 h-m-p 0.0000 0.0000 13003.4405 +YCCC 10213.610222 3 0.0000 4293 | 3/61
35 h-m-p 0.0000 0.0000 3120.4864 +YCCC 10208.999989 3 0.0000 4421 | 3/61
36 h-m-p 0.0000 0.0000 2631.5549 +CCYC 10201.951250 3 0.0000 4549 | 3/61
37 h-m-p 0.0000 0.0000 5155.2408 +YYYCC 10190.658993 4 0.0000 4677 | 3/61
38 h-m-p 0.0000 0.0000 3090.2326 YCCC 10185.933520 3 0.0000 4804 | 3/61
39 h-m-p 0.0000 0.0000 1543.0278 CCCC 10182.798416 3 0.0000 4932 | 3/61
40 h-m-p 0.0000 0.0000 561.0505 YCYCC 10182.014003 4 0.0000 5060 | 3/61
41 h-m-p 0.0000 0.0001 847.1677 YCCC 10180.209596 3 0.0000 5187 | 3/61
42 h-m-p 0.0000 0.0001 1145.4938 +YYCCC 10174.250474 4 0.0000 5316 | 3/61
43 h-m-p 0.0000 0.0000 5512.8394 CCCC 10167.958230 3 0.0000 5444 | 3/61
44 h-m-p 0.0000 0.0001 6842.7151 +YYCCC 10141.461692 4 0.0000 5573 | 3/61
45 h-m-p 0.0000 0.0000 7751.8388 +YCCC 10133.345867 3 0.0000 5701 | 3/61
46 h-m-p 0.0000 0.0001 6511.9359 YCCCC 10116.618683 4 0.0000 5830 | 3/61
47 h-m-p 0.0000 0.0000 6148.9685 +YCYCC 10110.868465 4 0.0000 5959 | 3/61
48 h-m-p 0.0000 0.0001 4234.9992 YCCC 10102.337066 3 0.0000 6086 | 2/61
49 h-m-p 0.0000 0.0000 8678.4403 YCCC 10078.464367 3 0.0000 6213 | 2/61
50 h-m-p 0.0000 0.0000 4096.9120 YCCC 10074.338699 3 0.0000 6341 | 2/61
51 h-m-p 0.0000 0.0001 3219.0841 CCC 10071.263272 2 0.0000 6468 | 2/61
52 h-m-p 0.0000 0.0000 1351.9316 YCCC 10070.125503 3 0.0000 6596 | 2/61
53 h-m-p 0.0000 0.0001 570.6487 YCC 10069.749542 2 0.0000 6722 | 2/61
54 h-m-p 0.0000 0.0001 254.1163 CYC 10069.432676 2 0.0000 6848 | 2/61
55 h-m-p 0.0000 0.0003 193.2828 C 10069.200203 0 0.0000 6971 | 2/61
56 h-m-p 0.0000 0.0002 148.8730 YCC 10069.101223 2 0.0000 7097 | 2/61
57 h-m-p 0.0000 0.0006 111.3322 CC 10069.027466 1 0.0000 7222 | 2/61
58 h-m-p 0.0000 0.0009 115.5244 CC 10068.956714 1 0.0000 7347 | 2/61
59 h-m-p 0.0000 0.0008 93.7894 YC 10068.918006 1 0.0000 7471 | 2/61
60 h-m-p 0.0000 0.0004 61.5642 YC 10068.898550 1 0.0000 7595 | 2/61
61 h-m-p 0.0000 0.0020 43.7428 C 10068.883560 0 0.0000 7718 | 2/61
62 h-m-p 0.0000 0.0017 37.5785 CC 10068.871862 1 0.0000 7843 | 2/61
63 h-m-p 0.0000 0.0011 31.2962 C 10068.861895 0 0.0000 7966 | 2/61
64 h-m-p 0.0000 0.0020 44.0728 CC 10068.848798 1 0.0000 8091 | 2/61
65 h-m-p 0.0000 0.0016 40.0139 CC 10068.831637 1 0.0000 8216 | 2/61
66 h-m-p 0.0000 0.0048 41.5780 ++YC 10068.587131 1 0.0004 8342 | 2/61
67 h-m-p 0.0000 0.0006 924.7875 +CCC 10067.466040 2 0.0001 8470 | 2/61
68 h-m-p 0.0000 0.0003 3662.4312 +CYCCC 10060.172534 4 0.0001 8601 | 2/61
69 h-m-p 0.0000 0.0000 13380.2222 +YCYYCC 10052.518268 5 0.0000 8732 | 2/61
70 h-m-p 0.0000 0.0000 9753.2883 +YYCC 10050.600970 3 0.0000 8860 | 2/61
71 h-m-p 0.0000 0.0000 1250.4287 CYCC 10050.407829 3 0.0000 8988 | 2/61
72 h-m-p 0.0000 0.0002 600.0893 YC 10050.296690 1 0.0000 9112 | 2/61
73 h-m-p 0.0001 0.0004 133.2631 CC 10050.260219 1 0.0000 9237 | 2/61
74 h-m-p 0.0001 0.0018 46.2072 CC 10050.217603 1 0.0001 9362 | 2/61
75 h-m-p 0.0000 0.0010 140.1868 +YC 10050.074478 1 0.0001 9487 | 2/61
76 h-m-p 0.0000 0.0008 472.3285 +CCC 10049.453616 2 0.0001 9615 | 2/61
77 h-m-p 0.0000 0.0002 2195.0951 +YYC 10047.416272 2 0.0001 9741 | 2/61
78 h-m-p 0.0000 0.0002 5679.7488 YCCC 10042.158402 3 0.0001 9869 | 2/61
79 h-m-p 0.0000 0.0001 1771.8033 YCC 10041.800485 2 0.0000 9995 | 2/61
80 h-m-p 0.0001 0.0006 168.3592 YC 10041.763276 1 0.0000 10119 | 2/61
81 h-m-p 0.0003 0.0017 10.3363 YC 10041.756318 1 0.0001 10243 | 2/61
82 h-m-p 0.0002 0.0911 6.6023 +++++ 10021.893969 m 0.0911 10369 | 2/61
83 h-m-p -0.0000 -0.0000 154.2562
h-m-p: -1.36605701e-18 -6.83028503e-18 1.54256213e+02 10021.893969
.. | 2/61
84 h-m-p 0.0000 0.0000 8876.4996 CYCCC 10016.570558 4 0.0000 10619 | 2/61
85 h-m-p 0.0000 0.0000 3403.9301 +CYYYCCC 10003.499200 6 0.0000 10752 | 2/61
86 h-m-p 0.0000 0.0000 9440.0859 +YYCCC 9996.693223 4 0.0000 10882 | 2/61
87 h-m-p 0.0000 0.0000 1632.5830 +YYYYC 9994.028267 4 0.0000 11010 | 2/61
88 h-m-p 0.0000 0.0000 1091.2366 CCC 9993.083199 2 0.0000 11137 | 2/61
89 h-m-p 0.0000 0.0000 1498.9667 YCCC 9991.877951 3 0.0000 11265 | 2/61
90 h-m-p 0.0000 0.0000 1067.6025 YCCC 9991.258051 3 0.0000 11393 | 2/61
91 h-m-p 0.0000 0.0000 993.5296 YCCC 9991.112670 3 0.0000 11521 | 2/61
92 h-m-p 0.0000 0.0000 397.2813 CYC 9990.916442 2 0.0000 11647 | 2/61
93 h-m-p 0.0000 0.0000 387.2313 CCC 9990.809875 2 0.0000 11774 | 2/61
94 h-m-p 0.0000 0.0001 470.0030 CC 9990.729016 1 0.0000 11899 | 2/61
95 h-m-p 0.0000 0.0000 311.0177 YCC 9990.635269 2 0.0000 12025 | 2/61
96 h-m-p 0.0000 0.0001 252.1697 YC 9990.554421 1 0.0000 12149 | 2/61
97 h-m-p 0.0000 0.0001 251.8140 YC 9990.496810 1 0.0000 12273 | 2/61
98 h-m-p 0.0000 0.0001 264.2768 CC 9990.428465 1 0.0000 12398 | 2/61
99 h-m-p 0.0000 0.0001 421.5840 YC 9990.348136 1 0.0000 12522 | 2/61
100 h-m-p 0.0000 0.0000 553.7650 YYC 9990.259057 2 0.0000 12647 | 2/61
101 h-m-p 0.0000 0.0001 679.0953 CCC 9990.100899 2 0.0000 12774 | 2/61
102 h-m-p 0.0000 0.0000 927.3243 CCC 9989.979965 2 0.0000 12901 | 2/61
103 h-m-p 0.0000 0.0001 438.0946 YC 9989.898445 1 0.0000 13025 | 2/61
104 h-m-p 0.0000 0.0001 459.5123 CC 9989.805638 1 0.0000 13150 | 2/61
105 h-m-p 0.0000 0.0001 420.8259 YC 9989.728666 1 0.0000 13274 | 2/61
106 h-m-p 0.0000 0.0002 464.7298 YC 9989.554746 1 0.0000 13398 | 2/61
107 h-m-p 0.0000 0.0001 791.8286 CCC 9989.314184 2 0.0000 13525 | 2/61
108 h-m-p 0.0000 0.0000 1787.9689 CYC 9989.000036 2 0.0000 13651 | 2/61
109 h-m-p 0.0000 0.0000 1874.2855 CYC 9988.778879 2 0.0000 13777 | 2/61
110 h-m-p 0.0000 0.0001 1704.9306 CCC 9988.233351 2 0.0000 13904 | 2/61
111 h-m-p 0.0000 0.0000 3487.8148 CCC 9987.590855 2 0.0000 14031 | 2/61
112 h-m-p 0.0000 0.0001 4419.7967 CCC 9986.496305 2 0.0000 14158 | 2/61
113 h-m-p 0.0000 0.0000 8030.3598 YCCC 9984.811851 3 0.0000 14286 | 2/61
114 h-m-p 0.0000 0.0000 13135.9825 YCCC 9982.937577 3 0.0000 14414 | 2/61
115 h-m-p 0.0000 0.0000 11250.5944 CCC 9981.722263 2 0.0000 14541 | 2/61
116 h-m-p 0.0000 0.0001 2047.6286 YC 9981.447104 1 0.0000 14665 | 2/61
117 h-m-p 0.0000 0.0001 513.2135 CC 9981.394042 1 0.0000 14790 | 2/61
118 h-m-p 0.0000 0.0001 198.8291 CC 9981.376459 1 0.0000 14915 | 2/61
119 h-m-p 0.0000 0.0003 89.5591 YC 9981.369732 1 0.0000 15039 | 2/61
120 h-m-p 0.0000 0.0011 33.8343 CC 9981.366010 1 0.0000 15164 | 2/61
121 h-m-p 0.0000 0.0010 19.7874 C 9981.365138 0 0.0000 15287 | 2/61
122 h-m-p 0.0000 0.0030 12.2910 C 9981.364606 0 0.0000 15410 | 2/61
123 h-m-p 0.0000 0.0031 8.2392 Y 9981.364320 0 0.0000 15533 | 2/61
124 h-m-p 0.0000 0.0032 11.4468 C 9981.363972 0 0.0000 15656 | 2/61
125 h-m-p 0.0000 0.0054 11.4748 +YC 9981.363087 1 0.0000 15781 | 2/61
126 h-m-p 0.0000 0.0015 76.1849 YC 9981.360168 1 0.0000 15905 | 2/61
127 h-m-p 0.0000 0.0016 124.4850 YC 9981.354318 1 0.0000 16029 | 2/61
128 h-m-p 0.0000 0.0006 264.4043 CC 9981.346222 1 0.0000 16154 | 2/61
129 h-m-p 0.0000 0.0015 530.1024 +CC 9981.296849 1 0.0000 16280 | 2/61
130 h-m-p 0.0000 0.0019 1694.4853 ++CC 9980.526035 1 0.0002 16407 | 2/61
131 h-m-p 0.0000 0.0004 15167.7843 CYC 9979.941602 2 0.0000 16533 | 2/61
132 h-m-p 0.0000 0.0002 2587.3726 CC 9979.882131 1 0.0000 16658 | 2/61
133 h-m-p 0.0001 0.0010 300.7096 YC 9979.873308 1 0.0000 16782 | 2/61
134 h-m-p 0.0002 0.0034 29.4619 -YC 9979.872336 1 0.0000 16907 | 2/61
135 h-m-p 0.0001 0.0052 5.8973 C 9979.872035 0 0.0000 17030 | 2/61
136 h-m-p 0.0000 0.0200 10.8654 +CC 9979.867710 1 0.0002 17156 | 2/61
137 h-m-p 0.0000 0.0149 192.9491 ++YCC 9979.573115 2 0.0010 17284 | 2/61
138 h-m-p 0.0000 0.0002 16283.8287 +CCC 9978.286703 2 0.0000 17412 | 2/61
139 h-m-p 0.0001 0.0003 5265.7218 CC 9978.141866 1 0.0000 17537 | 2/61
140 h-m-p 0.0041 0.0206 9.3046 --YC 9978.141226 1 0.0000 17663 | 2/61
141 h-m-p 0.0001 0.0696 17.3791 ++C 9978.081255 0 0.0023 17788 | 2/61
142 h-m-p 0.0000 0.0016 2238.9709 ++YCCC 9975.926005 3 0.0006 17918 | 2/61
143 h-m-p 0.3199 1.5995 0.1926 YCCC 9974.307502 3 0.7977 18046 | 2/61
144 h-m-p 0.4723 2.3614 0.1215 YCCC 9973.536856 3 0.9720 18174 | 2/61
145 h-m-p 0.2238 1.5051 0.5280 +YCCC 9973.073528 3 0.6028 18303 | 2/61
146 h-m-p 0.3793 1.8963 0.3375 CYCC 9972.898679 3 0.6312 18431 | 2/61
147 h-m-p 0.4763 2.3814 0.1970 YYC 9972.841619 2 0.3760 18556 | 2/61
148 h-m-p 0.5847 8.0000 0.1267 CC 9972.804951 1 0.7035 18681 | 2/61
149 h-m-p 1.0695 8.0000 0.0833 CC 9972.765088 1 1.6644 18806 | 2/61
150 h-m-p 1.2826 8.0000 0.1081 CC 9972.746570 1 1.0409 18931 | 2/61
151 h-m-p 1.4141 8.0000 0.0796 YC 9972.739314 1 0.9504 19055 | 2/61
152 h-m-p 1.2222 8.0000 0.0619 CC 9972.734532 1 1.5744 19180 | 2/61
153 h-m-p 1.6000 8.0000 0.0366 YC 9972.733270 1 1.0368 19304 | 2/61
154 h-m-p 1.6000 8.0000 0.0017 Y 9972.733194 0 0.9122 19427 | 2/61
155 h-m-p 1.3389 8.0000 0.0012 Y 9972.733191 0 0.7905 19550 | 2/61
156 h-m-p 1.6000 8.0000 0.0001 Y 9972.733190 0 0.8765 19673 | 2/61
157 h-m-p 1.6000 8.0000 0.0001 C 9972.733190 0 0.3314 19796 | 2/61
158 h-m-p 0.2993 8.0000 0.0001 C 9972.733190 0 0.2993 19919 | 2/61
159 h-m-p 0.3877 8.0000 0.0000 ---Y 9972.733190 0 0.0015 20045
Out..
lnL = -9972.733190
20046 lfun, 80184 eigenQcodon, 3367728 P(t)
BEBing (dim = 4). This may take several minutes.
Calculating f(x_h|w): 10 categories 21 w sets.
Calculating f(X), the marginal likelihood.
log(fX) = -9989.656674 S = -9511.666479 -470.569222
Calculating f(w|X), posterior probabilities of site classes.
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did 493 / 493 patterns 1:12:46end of tree file.
Time used: 1:12:46
Model 7: beta
TREE # 1
(12, (((((13, 7), 29), 14), ((17, 27), 4)), 15, 9), (((((11, 26), 21), 25), (((((((((((16, 28), 10), 1), 23), (2, (20, 24))), 18), (22, 30)), 5), 19), 6), 8)), 3)); MP score: 720
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
40
0.010296 0.034835 0.035571 0.063494 0.091222 0.105566 0.083760 0.034755 0.088399 0.024594 0.025223 0.050514 0.076468 0.018164 0.108660 0.072640 0.094918 0.084534 0.075982 0.052404 0.022266 0.100997 0.082154 0.034138 0.092735 0.014407 0.106735 0.032229 0.022584 0.088630 0.011810 0.092393 0.088305 0.057371 0.075986 0.023163 0.073853 0.105809 0.109167 0.058531 0.079117 0.079476 0.027756 0.087674 0.056799 0.093824 0.045014 0.062716 0.019906 0.092908 0.106229 0.070447 0.037029 0.080632 0.073408 0.028952 3.330276 1.176098 1.129845
ntime & nrate & np: 56 1 59
Bounds (np=59):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.005000 0.005000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 99.000000 99.000000
Qfactor_NS = 4.973010
np = 59
lnL0 = -12453.674661
Iterating by ming2
Initial: fx= 12453.674661
x= 0.01030 0.03483 0.03557 0.06349 0.09122 0.10557 0.08376 0.03475 0.08840 0.02459 0.02522 0.05051 0.07647 0.01816 0.10866 0.07264 0.09492 0.08453 0.07598 0.05240 0.02227 0.10100 0.08215 0.03414 0.09273 0.01441 0.10674 0.03223 0.02258 0.08863 0.01181 0.09239 0.08830 0.05737 0.07599 0.02316 0.07385 0.10581 0.10917 0.05853 0.07912 0.07948 0.02776 0.08767 0.05680 0.09382 0.04501 0.06272 0.01991 0.09291 0.10623 0.07045 0.03703 0.08063 0.07341 0.02895 3.33028 1.17610 1.12985
1 h-m-p 0.0000 0.0000 5817.8205 ++ 11740.411338 m 0.0000 123 | 0/59
2 h-m-p 0.0000 0.0000 22781.7102 ++ 11613.259757 m 0.0000 244 | 0/59
3 h-m-p 0.0000 0.0000 36089.3976 ++ 11409.302203 m 0.0000 365 | 0/59
4 h-m-p 0.0000 0.0000 46100.5806
h-m-p: 2.92031472e-23 1.46015736e-22 4.61005806e+04 11409.302203
.. | 0/59
5 h-m-p 0.0000 0.0000 4718.4110 ++ 11225.881523 m 0.0000 604 | 0/59
6 h-m-p -0.0000 -0.0000 102049.3782
h-m-p: -6.70171581e-23 -3.35085790e-22 1.02049378e+05 11225.881523
.. | 0/59
7 h-m-p 0.0000 0.0000 7397.3639 ++ 11154.700946 m 0.0000 843 | 0/59
8 h-m-p 0.0000 0.0000 7740.6519 ++ 11062.095646 m 0.0000 964 | 0/59
9 h-m-p 0.0000 0.0000 62040.0633 ++ 10971.207742 m 0.0000 1085 | 0/59
10 h-m-p 0.0000 0.0000 420156.1085 ++ 10784.016647 m 0.0000 1206 | 0/59
11 h-m-p 0.0000 0.0000 122446.8236 ++ 10649.558072 m 0.0000 1327 | 0/59
12 h-m-p 0.0000 0.0000 78297.2840 +CYCYCCC 10585.465099 6 0.0000 1459 | 0/59
13 h-m-p 0.0000 0.0000 232246.3123 ++ 10568.736475 m 0.0000 1580 | 0/59
14 h-m-p 0.0000 0.0000 40696.4592 +CYYY 10552.003364 3 0.0000 1706 | 0/59
15 h-m-p 0.0000 0.0000 84163.6686 ++ 10541.975180 m 0.0000 1827 | 0/59
16 h-m-p 0.0000 0.0000 289371.3239 ++ 10502.907488 m 0.0000 1948 | 0/59
17 h-m-p -0.0000 -0.0000 33586.7618
h-m-p: -1.25526196e-22 -6.27630979e-22 3.35867618e+04 10502.907488
.. | 0/59
18 h-m-p 0.0000 0.0000 66245.8526 CYCYCCC 10486.346870 6 0.0000 2197 | 0/59
19 h-m-p 0.0000 0.0000 5432.1912 ++ 10411.849870 m 0.0000 2318 | 0/59
20 h-m-p 0.0000 0.0000 42891.1842 ++ 10392.314690 m 0.0000 2439 | 1/59
21 h-m-p 0.0000 0.0000 7277.7573 ++ 10357.426018 m 0.0000 2560 | 1/59
22 h-m-p 0.0000 0.0000 52086.1882 ++ 10320.385542 m 0.0000 2680 | 1/59
23 h-m-p 0.0000 0.0000 107426.2589
h-m-p: 3.54666298e-24 1.77333149e-23 1.07426259e+05 10320.385542
.. | 1/59
24 h-m-p 0.0000 0.0000 17039.5073 YYCYYC 10316.080947 5 0.0000 2924 | 1/59
25 h-m-p 0.0000 0.0000 3813.7528 ++ 10288.016867 m 0.0000 3044 | 1/59
26 h-m-p 0.0000 0.0000 129698.4025 ++ 10282.759926 m 0.0000 3164 | 2/59
27 h-m-p 0.0000 0.0000 31926.8797 +CYYY 10267.925100 3 0.0000 3289 | 2/59
28 h-m-p 0.0000 0.0000 11154.1798 +YCYC 10260.814400 3 0.0000 3413 | 2/59
29 h-m-p 0.0000 0.0000 91925.2111 +YYYCC 10257.071842 4 0.0000 3538 | 2/59
30 h-m-p 0.0000 0.0000 25061.8099 +YYCCC 10255.897841 4 0.0000 3664 | 2/59
31 h-m-p 0.0000 0.0000 14654.9064 +YCYCC 10249.564599 4 0.0000 3790 | 2/59
32 h-m-p 0.0000 0.0000 4456.7228 +YYCCC 10244.123098 4 0.0000 3916 | 2/59
33 h-m-p 0.0000 0.0000 5965.6804 +YYYCC 10235.375523 4 0.0000 4041 | 2/59
34 h-m-p 0.0000 0.0000 7503.4133 CCCC 10233.657854 3 0.0000 4166 | 2/59
35 h-m-p 0.0000 0.0000 2730.8843 YCCC 10229.175022 3 0.0000 4290 | 2/59
36 h-m-p 0.0000 0.0000 2253.3160 YCCC 10225.704183 3 0.0000 4414 | 2/59
37 h-m-p 0.0000 0.0000 2718.4474 CCC 10224.124184 2 0.0000 4537 | 2/59
38 h-m-p 0.0000 0.0000 1612.4562 YCCC 10222.651445 3 0.0000 4661 | 2/59
39 h-m-p 0.0000 0.0000 947.8003 CCCC 10221.997773 3 0.0000 4786 | 2/59
40 h-m-p 0.0000 0.0000 1119.8151 YCY 10220.927149 2 0.0000 4908 | 2/59
41 h-m-p 0.0000 0.0000 1094.7018 CCC 10220.239232 2 0.0000 5031 | 2/59
42 h-m-p 0.0000 0.0000 1194.9799 YCCC 10219.229741 3 0.0000 5155 | 2/59
43 h-m-p 0.0000 0.0000 938.7224 CCCC 10217.887859 3 0.0000 5280 | 2/59
44 h-m-p 0.0000 0.0000 1781.6204 YCC 10216.560184 2 0.0000 5402 | 2/59
45 h-m-p 0.0000 0.0000 3105.5948 +YYCCC 10212.791736 4 0.0000 5528 | 2/59
46 h-m-p 0.0000 0.0000 4229.3391 CCC 10208.841841 2 0.0000 5651 | 2/59
47 h-m-p 0.0000 0.0000 6036.0901 +YYC 10198.190122 2 0.0000 5773 | 2/59
48 h-m-p 0.0000 0.0000 16183.1504 CCCCC 10185.632788 4 0.0000 5900 | 2/59
49 h-m-p 0.0000 0.0000 9610.0358 +YYYCCC 10173.259026 5 0.0000 6027 | 2/59
50 h-m-p 0.0000 0.0000 32004.9580 +YCYC 10143.910383 3 0.0000 6151 | 2/59
51 h-m-p 0.0000 0.0000 44833.4536 YCCCC 10121.519368 4 0.0000 6277 | 2/59
52 h-m-p 0.0000 0.0000 25106.3796 +YCYCC 10102.007221 4 0.0000 6403 | 2/59
53 h-m-p 0.0000 0.0000 1806.3354 CYCCC 10101.283754 4 0.0000 6529 | 2/59
54 h-m-p 0.0000 0.0001 704.2984 YC 10100.991539 1 0.0000 6649 | 2/59
55 h-m-p 0.0000 0.0001 268.6631 YCC 10100.830881 2 0.0000 6771 | 2/59
56 h-m-p 0.0000 0.0001 255.4052 CC 10100.644439 1 0.0000 6892 | 2/59
57 h-m-p 0.0000 0.0001 514.8622 CCC 10100.278867 2 0.0000 7015 | 2/59
58 h-m-p 0.0000 0.0001 1361.8987 CCC 10099.782587 2 0.0000 7138 | 2/59
59 h-m-p 0.0000 0.0001 1986.1665 YCCC 10097.976642 3 0.0000 7262 | 2/59
60 h-m-p 0.0000 0.0001 7709.3477 +YCCC 10089.105855 3 0.0000 7387 | 2/59
61 h-m-p 0.0000 0.0000 14343.3117 +YCYCCC 10075.682445 5 0.0000 7515 | 2/59
62 h-m-p 0.0000 0.0000 40350.5021 CCCC 10067.972029 3 0.0000 7640 | 2/59
63 h-m-p 0.0000 0.0000 18880.3153 CCC 10062.347407 2 0.0000 7763 | 2/59
64 h-m-p 0.0000 0.0000 5254.3342 CCCC 10059.291233 3 0.0000 7888 | 2/59
65 h-m-p 0.0000 0.0001 1625.8845 CCCC 10058.294628 3 0.0000 8013 | 2/59
66 h-m-p 0.0000 0.0001 949.9097 CCC 10057.984552 2 0.0000 8136 | 2/59
67 h-m-p 0.0000 0.0001 400.4366 YC 10057.846251 1 0.0000 8256 | 2/59
68 h-m-p 0.0000 0.0002 93.5061 CC 10057.825280 1 0.0000 8377 | 2/59
69 h-m-p 0.0000 0.0014 21.5583 CC 10057.822140 1 0.0000 8498 | 2/59
70 h-m-p 0.0000 0.0022 12.1789 YC 10057.820696 1 0.0000 8618 | 2/59
71 h-m-p 0.0000 0.0012 17.2589 YC 10057.817889 1 0.0000 8738 | 2/59
72 h-m-p 0.0000 0.0026 32.9388 ++YC 10057.776507 1 0.0002 8860 | 2/59
73 h-m-p 0.0000 0.0016 564.7091 ++CCC 10057.128078 2 0.0001 8985 | 2/59
74 h-m-p 0.0000 0.0002 3720.9438 CYC 10056.491077 2 0.0000 9107 | 2/59
75 h-m-p 0.0001 0.0004 714.0098 YC 10056.411449 1 0.0000 9227 | 2/59
76 h-m-p 0.0003 0.0018 33.0530 -CC 10056.408145 1 0.0000 9349 | 2/59
77 h-m-p 0.0000 0.0054 10.9371 YC 10056.403475 1 0.0001 9469 | 2/59
78 h-m-p 0.0000 0.0069 65.9342 +++CC 10056.064903 1 0.0009 9593 | 2/59
79 h-m-p 0.0000 0.0003 5240.9510 +CCCC 10053.968591 3 0.0001 9719 | 2/59
80 h-m-p 0.0000 0.0001 9815.7879 YCC 10053.179429 2 0.0000 9841 | 2/59
81 h-m-p 0.0005 0.0024 6.7833 -C 10053.177981 0 0.0000 9961 | 2/59
82 h-m-p 0.0005 0.2578 2.5680 ++++CCCC 10038.440568 3 0.1457 10090 | 2/59
83 h-m-p 0.3939 1.9697 0.1155 +YCCC 10029.915682 3 1.2143 10215 | 2/59
84 h-m-p 0.5110 2.5549 0.0791 +YYCCC 10024.838790 4 1.6081 10341 | 2/59
85 h-m-p 0.4292 5.1244 0.2965 +YCYCCC 10014.253830 5 3.2201 10469 | 2/59
86 h-m-p 0.1386 0.6931 1.2016 +CYCYC 10002.731901 4 0.6474 10596 | 2/59
87 h-m-p 0.0315 0.1573 7.2546 YCYCCC 9995.871182 5 0.0822 10723 | 2/59
88 h-m-p 0.0782 0.3912 1.9479 YCYCCC 9989.806160 5 0.1893 10850 | 2/59
89 h-m-p 0.2049 1.0243 0.1995 YYCC 9985.548299 3 0.1478 10973 | 2/59
90 h-m-p 0.0416 1.8094 0.7094 +CYCC 9982.714276 3 0.2152 11098 | 2/59
91 h-m-p 0.3222 1.6111 0.2360 CCCC 9981.007649 3 0.4770 11223 | 2/59
92 h-m-p 1.4786 7.3932 0.0171 YCC 9980.616874 2 0.8521 11345 | 2/59
93 h-m-p 1.1798 8.0000 0.0123 CC 9980.524120 1 1.3139 11466 | 2/59
94 h-m-p 1.6000 8.0000 0.0018 CC 9980.480146 1 2.0885 11587 | 2/59
95 h-m-p 1.6000 8.0000 0.0021 CC 9980.458200 1 1.8406 11708 | 2/59
96 h-m-p 1.4033 8.0000 0.0027 C 9980.447512 0 1.4171 11827 | 2/59
97 h-m-p 1.6000 8.0000 0.0017 C 9980.442745 0 1.7772 11946 | 2/59
98 h-m-p 1.6000 8.0000 0.0010 YC 9980.439089 1 3.0494 12066 | 2/59
99 h-m-p 1.6000 8.0000 0.0004 +YC 9980.431656 1 4.2583 12187 | 2/59
100 h-m-p 0.8569 8.0000 0.0019 +YC 9980.422129 1 2.8063 12308 | 2/59
101 h-m-p 1.6000 8.0000 0.0015 CC 9980.416168 1 2.3499 12429 | 2/59
102 h-m-p 1.6000 8.0000 0.0015 CC 9980.412425 1 2.2204 12550 | 2/59
103 h-m-p 1.6000 8.0000 0.0014 CC 9980.409651 1 2.2020 12671 | 2/59
104 h-m-p 1.6000 8.0000 0.0009 YC 9980.407732 1 3.0011 12791 | 2/59
105 h-m-p 1.6000 8.0000 0.0005 YC 9980.405070 1 3.4684 12911 | 2/59
106 h-m-p 1.6000 8.0000 0.0008 CC 9980.403129 1 2.3521 13032 | 2/59
107 h-m-p 1.6000 8.0000 0.0006 CC 9980.402052 1 2.3959 13153 | 2/59
108 h-m-p 1.6000 8.0000 0.0006 C 9980.401688 0 1.7303 13272 | 2/59
109 h-m-p 1.6000 8.0000 0.0003 C 9980.401607 0 2.1589 13391 | 2/59
110 h-m-p 1.6000 8.0000 0.0000 C 9980.401577 0 2.4387 13510 | 2/59
111 h-m-p 1.6000 8.0000 0.0000 C 9980.401569 0 1.6871 13629 | 2/59
112 h-m-p 0.9142 8.0000 0.0000 +Y 9980.401564 0 3.0735 13749 | 2/59
113 h-m-p 1.6000 8.0000 0.0000 Y 9980.401564 0 0.2491 13868 | 2/59
114 h-m-p 0.2516 8.0000 0.0000 Y 9980.401564 0 0.1957 13987 | 2/59
115 h-m-p 0.1638 8.0000 0.0000 Y 9980.401564 0 0.2658 14106 | 2/59
116 h-m-p 0.5062 8.0000 0.0000 Y 9980.401564 0 0.3547 14225 | 2/59
117 h-m-p 0.4079 8.0000 0.0000 C 9980.401564 0 0.4079 14344 | 2/59
118 h-m-p 0.4026 8.0000 0.0000 Y 9980.401564 0 0.8703 14463 | 2/59
119 h-m-p 1.6000 8.0000 0.0000 Y 9980.401563 0 2.9092 14582 | 2/59
120 h-m-p 1.5290 8.0000 0.0000 +Y 9980.401560 0 4.3676 14702 | 2/59
121 h-m-p 1.6000 8.0000 0.0000 Y 9980.401560 0 0.6449 14821 | 2/59
122 h-m-p 1.6000 8.0000 0.0000 Y 9980.401560 0 1.0149 14940 | 2/59
123 h-m-p 1.6000 8.0000 0.0000 ++ 9980.401559 m 8.0000 15059 | 2/59
124 h-m-p 1.1582 8.0000 0.0000 ------Y 9980.401559 0 0.0001 15184
Out..
lnL = -9980.401559
15185 lfun, 167035 eigenQcodon, 8503600 P(t)
end of tree file.
Time used: 3:27:54
Model 8: beta&w>1
TREE # 1
(12, (((((13, 7), 29), 14), ((17, 27), 4)), 15, 9), (((((11, 26), 21), 25), (((((((((((16, 28), 10), 1), 23), (2, (20, 24))), 18), (22, 30)), 5), 19), 6), 8)), 3)); MP score: 720
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
40
0.039155 0.045070 0.084367 0.094718 0.024451 0.043641 0.085086 0.018891 0.089995 0.054460 0.010943 0.022719 0.065812 0.017886 0.063568 0.108177 0.078817 0.045042 0.028023 0.010782 0.033001 0.043543 0.063879 0.094997 0.071952 0.094682 0.021600 0.109692 0.028389 0.043030 0.076391 0.102104 0.040386 0.034365 0.046729 0.063730 0.088989 0.012882 0.039738 0.056589 0.086909 0.063622 0.040612 0.043296 0.022972 0.061049 0.038272 0.019377 0.042018 0.059716 0.054433 0.021273 0.014943 0.037961 0.018281 0.058463 3.217637 0.900000 0.385593 1.705656 1.300000
ntime & nrate & np: 56 2 61
Bounds (np=61):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.000010 0.005000 0.005000 1.000000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 0.999990 99.000000 99.000000 999.000000
Qfactor_NS = 7.274141
np = 61
lnL0 = -11486.785648
Iterating by ming2
Initial: fx= 11486.785648
x= 0.03916 0.04507 0.08437 0.09472 0.02445 0.04364 0.08509 0.01889 0.08999 0.05446 0.01094 0.02272 0.06581 0.01789 0.06357 0.10818 0.07882 0.04504 0.02802 0.01078 0.03300 0.04354 0.06388 0.09500 0.07195 0.09468 0.02160 0.10969 0.02839 0.04303 0.07639 0.10210 0.04039 0.03436 0.04673 0.06373 0.08899 0.01288 0.03974 0.05659 0.08691 0.06362 0.04061 0.04330 0.02297 0.06105 0.03827 0.01938 0.04202 0.05972 0.05443 0.02127 0.01494 0.03796 0.01828 0.05846 3.21764 0.90000 0.38559 1.70566 1.30000
1 h-m-p 0.0000 0.0000 4957.3548 ++ 11129.193750 m 0.0000 127 | 0/61
2 h-m-p 0.0000 0.0000 18927.8454 ++ 11123.501629 m 0.0000 252 | 1/61
3 h-m-p 0.0000 0.0000 19644.0676 ++ 10941.441185 m 0.0000 377 | 1/61
4 h-m-p 0.0000 0.0000 88560.6107 ++ 10625.602570 m 0.0000 501 | 1/61
5 h-m-p 0.0000 0.0000 32730.7703 +YYCYYCC 10613.417644 6 0.0000 635 | 1/61
6 h-m-p 0.0000 0.0000 230980.2226 ++ 10577.232532 m 0.0000 759 | 1/61
7 h-m-p 0.0000 0.0000 76314.2075 ++ 10477.926131 m 0.0000 883 | 1/61
8 h-m-p -0.0000 -0.0000 34122.6535
h-m-p: -3.11562695e-23 -1.55781348e-22 3.41226535e+04 10477.926131
.. | 1/61
9 h-m-p 0.0000 0.0000 11126.7494 +YCYCCC 10445.754872 5 0.0000 1137 | 1/61
10 h-m-p 0.0000 0.0000 3983.7197 ++ 10390.635260 m 0.0000 1261 | 1/61
11 h-m-p 0.0000 0.0000 89346.0874 ++ 10366.918375 m 0.0000 1385 | 2/61
12 h-m-p 0.0000 0.0000 31399.1840 ++ 10267.831258 m 0.0000 1509 | 2/61
13 h-m-p 0.0000 0.0000 183399.5253 +CYYCC 10258.387312 4 0.0000 1639 | 2/61
14 h-m-p 0.0000 0.0000 62802.2698 +CYCCC 10213.187072 4 0.0000 1771 | 2/61
15 h-m-p 0.0000 0.0000 42404.2678 +YYCCYY 10196.007411 5 0.0000 1903 | 2/61
16 h-m-p 0.0000 0.0000 20829.1017 +YCYYCCC 10161.508059 6 0.0000 2036 | 2/61
17 h-m-p 0.0000 0.0000 17886.6877 +YYCYCCC 10154.747825 6 0.0000 2169 | 2/61
18 h-m-p 0.0000 0.0000 42924.3702 +YYYCYCCC 10128.652331 7 0.0000 2303 | 2/61
19 h-m-p 0.0000 0.0000 8511.0873 +YYYYCCCC 10120.649361 7 0.0000 2437 | 2/61
20 h-m-p 0.0000 0.0000 6214.8661 +YYYYYC 10118.248053 5 0.0000 2566 | 2/61
21 h-m-p 0.0000 0.0000 20605.1329 +YYYYC 10107.397209 4 0.0000 2694 | 2/61
22 h-m-p 0.0000 0.0000 34881.6319 +YYCYYCC 10098.259601 6 0.0000 2827 | 2/61
23 h-m-p 0.0000 0.0000 2338.3273 +YYYCCC 10096.448409 5 0.0000 2958 | 2/61
24 h-m-p 0.0000 0.0000 10585.6255 YCCCC 10091.148996 4 0.0000 3088 | 2/61
25 h-m-p 0.0000 0.0000 1267.7535 YCYCCC 10088.530713 5 0.0000 3219 | 2/61
26 h-m-p 0.0000 0.0000 2925.5138 YCCCC 10086.077061 4 0.0000 3349 | 2/61
27 h-m-p 0.0000 0.0000 1041.6093 YCCCC 10082.480527 4 0.0000 3479 | 2/61
28 h-m-p 0.0000 0.0000 2969.0700 YCCCC 10079.079591 4 0.0000 3609 | 2/61
29 h-m-p 0.0000 0.0000 3123.1822 YCYCCC 10075.014288 5 0.0000 3740 | 2/61
30 h-m-p 0.0000 0.0000 5788.1986 +YYCCC 10067.691032 4 0.0000 3870 | 2/61
31 h-m-p 0.0000 0.0000 7453.4894 YCCC 10061.810748 3 0.0000 3998 | 2/61
32 h-m-p 0.0000 0.0000 1983.3609 CYC 10060.009686 2 0.0000 4124 | 2/61
33 h-m-p 0.0000 0.0000 1163.9515 YCYC 10058.482839 3 0.0000 4251 | 2/61
34 h-m-p 0.0000 0.0000 1556.3138 CCC 10057.256779 2 0.0000 4378 | 2/61
35 h-m-p 0.0000 0.0001 777.3306 YCCC 10055.358062 3 0.0000 4506 | 2/61
36 h-m-p 0.0000 0.0000 2291.5084 +YCCC 10051.837438 3 0.0000 4635 | 2/61
37 h-m-p 0.0000 0.0000 3854.7759 CCCC 10049.131735 3 0.0000 4764 | 2/61
38 h-m-p 0.0000 0.0000 3030.4575 YCCC 10047.176706 3 0.0000 4892 | 2/61
39 h-m-p 0.0000 0.0000 1279.5240 CCCC 10046.398468 3 0.0000 5021 | 2/61
40 h-m-p 0.0000 0.0001 954.8233 YCCC 10046.049415 3 0.0000 5149 | 2/61
41 h-m-p 0.0000 0.0000 595.5402 YYC 10045.746842 2 0.0000 5274 | 2/61
42 h-m-p 0.0000 0.0002 463.4482 CC 10045.351746 1 0.0000 5399 | 2/61
43 h-m-p 0.0000 0.0004 195.6293 YC 10045.226824 1 0.0000 5523 | 2/61
44 h-m-p 0.0000 0.0002 181.4668 YC 10045.153603 1 0.0000 5647 | 2/61
45 h-m-p 0.0000 0.0002 135.7263 YC 10045.114501 1 0.0000 5771 | 2/61
46 h-m-p 0.0000 0.0005 136.1155 CC 10045.068219 1 0.0000 5896 | 2/61
47 h-m-p 0.0000 0.0003 216.5902 YC 10044.984095 1 0.0000 6020 | 2/61
48 h-m-p 0.0000 0.0003 180.8810 YC 10044.924003 1 0.0000 6144 | 2/61
49 h-m-p 0.0000 0.0004 276.7191 +YC 10044.735823 1 0.0000 6269 | 2/61
50 h-m-p 0.0000 0.0002 921.4896 YC 10044.392424 1 0.0000 6393 | 2/61
51 h-m-p 0.0000 0.0002 1792.8545 YC 10043.550867 1 0.0000 6517 | 2/61
52 h-m-p 0.0000 0.0001 3411.5675 CYC 10042.696188 2 0.0000 6643 | 2/61
53 h-m-p 0.0000 0.0003 2360.1572 CCC 10041.708205 2 0.0000 6770 | 2/61
54 h-m-p 0.0000 0.0001 3093.3618 CC 10040.828977 1 0.0000 6895 | 2/61
55 h-m-p 0.0000 0.0001 3315.2655 CCC 10039.629530 2 0.0000 7022 | 2/61
56 h-m-p 0.0000 0.0001 3672.5900 CYC 10038.496985 2 0.0000 7148 | 2/61
57 h-m-p 0.0000 0.0001 2379.1976 YYC 10037.725602 2 0.0000 7273 | 2/61
58 h-m-p 0.0000 0.0003 3028.4352 +CCCCC 10033.772601 4 0.0001 7405 | 2/61
59 h-m-p 0.0000 0.0001 6025.0804 CCCC 10031.314038 3 0.0000 7534 | 2/61
60 h-m-p 0.0001 0.0003 966.2656 YYC 10030.496566 2 0.0000 7659 | 2/61
61 h-m-p 0.0001 0.0003 349.6452 CC 10030.433943 1 0.0000 7784 | 2/61
62 h-m-p 0.0001 0.0013 43.5716 C 10030.422589 0 0.0000 7907 | 2/61
63 h-m-p 0.0000 0.0049 32.1578 ++CCC 10030.169649 2 0.0007 8036 | 2/61
64 h-m-p 0.0000 0.0003 1672.9851 ++YYCC 10026.677814 3 0.0002 8165 | 2/61
65 h-m-p 0.0000 0.0000 3275.6851 CCC 10026.163491 2 0.0000 8292 | 2/61
66 h-m-p 0.0006 0.0030 7.9762 -YC 10026.162469 1 0.0000 8417 | 2/61
67 h-m-p 0.0004 0.1902 6.3467 ++YCCC 10025.650142 3 0.0114 8547 | 2/61
68 h-m-p 0.0351 0.1755 1.0225 +CCCC 10016.589661 3 0.1612 8678 | 2/61
69 h-m-p 0.1026 0.5131 0.6275 +YYYYYC 10008.321184 5 0.4070 8807 | 2/61
70 h-m-p 0.1506 1.6983 1.6956 +CCCC 10002.252569 3 0.5184 8937 | 2/61
71 h-m-p 0.0844 0.4220 2.9478 +YYYYCC 9989.497008 5 0.3325 9067 | 2/61
72 h-m-p 0.0386 0.1932 0.5563 +YYYYCYCCC 9986.320112 8 0.1602 9202 | 2/61
73 h-m-p 0.1074 0.7666 0.8294 +CYCCC 9977.502079 4 0.5343 9334 | 2/61
74 h-m-p 0.2020 1.0099 0.1963 +YCCC 9974.147944 3 0.6432 9463 | 2/61
75 h-m-p 0.2896 1.4482 0.4036 CCC 9973.105959 2 0.2787 9590 | 2/61
76 h-m-p 0.3562 3.7788 0.3157 YCCC 9971.829857 3 0.8493 9718 | 2/61
77 h-m-p 0.5739 2.8697 0.0880 CCC 9971.541395 2 0.8638 9845 | 2/61
78 h-m-p 0.5227 5.0678 0.1454 CCC 9971.404434 2 0.4958 9972 | 2/61
79 h-m-p 0.4233 3.8175 0.1703 YCCC 9971.233820 3 0.9795 10100 | 2/61
80 h-m-p 1.1500 5.7499 0.1424 CCC 9971.077350 2 1.0246 10227 | 2/61
81 h-m-p 0.9432 8.0000 0.1546 CC 9970.853517 1 1.4410 10352 | 2/61
82 h-m-p 1.6000 8.0000 0.1112 CC 9970.716616 1 1.5180 10477 | 2/61
83 h-m-p 1.6000 8.0000 0.1042 YC 9970.665278 1 0.9725 10601 | 2/61
84 h-m-p 1.3016 8.0000 0.0778 C 9970.633891 0 1.2670 10724 | 2/61
85 h-m-p 1.6000 8.0000 0.0276 YC 9970.624806 1 1.0035 10848 | 2/61
86 h-m-p 0.3904 8.0000 0.0710 YC 9970.614822 1 0.7258 10972 | 2/61
87 h-m-p 1.6000 8.0000 0.0137 CC 9970.596152 1 2.3669 11097 | 2/61
88 h-m-p 1.6000 8.0000 0.0095 C 9970.587216 0 1.4954 11220 | 2/61
89 h-m-p 0.9635 8.0000 0.0147 YC 9970.582484 1 1.5620 11344 | 2/61
90 h-m-p 1.6000 8.0000 0.0013 CC 9970.578034 1 2.0439 11469 | 2/61
91 h-m-p 0.4122 8.0000 0.0066 +CC 9970.573810 1 2.1215 11595 | 2/61
92 h-m-p 1.6000 8.0000 0.0045 CC 9970.570574 1 2.2272 11720 | 2/61
93 h-m-p 1.2364 8.0000 0.0081 YC 9970.568184 1 1.9897 11844 | 2/61
94 h-m-p 1.6000 8.0000 0.0057 C 9970.566838 0 1.7681 11967 | 2/61
95 h-m-p 1.6000 8.0000 0.0005 C 9970.566081 0 1.9681 12090 | 2/61
96 h-m-p 1.2433 8.0000 0.0008 YC 9970.565128 1 2.9375 12214 | 2/61
97 h-m-p 0.9793 8.0000 0.0024 YC 9970.564343 1 2.2014 12338 | 2/61
98 h-m-p 1.6000 8.0000 0.0016 C 9970.564034 0 1.8708 12461 | 2/61
99 h-m-p 1.2622 8.0000 0.0023 Y 9970.563775 0 2.7125 12584 | 2/61
100 h-m-p 1.6000 8.0000 0.0008 C 9970.563532 0 2.5597 12707 | 2/61
101 h-m-p 1.6000 8.0000 0.0008 C 9970.563438 0 1.9935 12830 | 2/61
102 h-m-p 1.6000 8.0000 0.0004 C 9970.563422 0 1.5532 12953 | 2/61
103 h-m-p 1.6000 8.0000 0.0001 C 9970.563416 0 2.0739 13076 | 2/61
104 h-m-p 1.6000 8.0000 0.0000 Y 9970.563411 0 2.8293 13199 | 2/61
105 h-m-p 0.9973 8.0000 0.0001 Y 9970.563408 0 1.9055 13322 | 2/61
106 h-m-p 1.6000 8.0000 0.0000 C 9970.563406 0 2.2862 13445 | 2/61
107 h-m-p 0.6703 8.0000 0.0000 +C 9970.563404 0 2.8574 13569 | 2/61
108 h-m-p 1.6000 8.0000 0.0001 Y 9970.563403 0 0.7474 13692 | 2/61
109 h-m-p 1.3620 8.0000 0.0000 Y 9970.563403 0 2.4916 13815 | 2/61
110 h-m-p 1.6000 8.0000 0.0000 C 9970.563403 0 1.3826 13938 | 2/61
111 h-m-p 1.6000 8.0000 0.0000 ++ 9970.563402 m 8.0000 14061 | 2/61
112 h-m-p 1.2270 8.0000 0.0000 -------C 9970.563402 0 0.0000 14191
Out..
lnL = -9970.563402
14192 lfun, 170304 eigenQcodon, 8742272 P(t)
BEBing (dim = 4). This may take several minutes.
Calculating f(x_h|w): 10 categories 20 w sets.
Calculating f(X), the marginal likelihood.
log(fX) = -9987.224538 S = -9513.471743 -509.286050
Calculating f(w|X), posterior probabilities of site classes.
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did 493 / 493 patterns 5:47:00end of tree file.
Time used: 5:47:00
The loglikelihoods for models M1, M2, M7 and M8 are -9977.797468 -9972.733190 -9980.401559 -9970.563402 respectively
The loglikelihood for model M2a is significantly different from that for M1a. Twice the difference is 10.128556
The loglikelihood for model M8 is significantly different from that for M7. Twice the difference is 19.676314
CLUSTAL W (1.8) multiple sequence alignment (ALTER 1.3.3)
TCG_2_S_BBM61287_1_2006_12_Japan_Unknown_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCT-----TVSINDVDTGVPSISTDTVDVTNGLGTYYVLDR
SHG_2_S_BBM61207_1_2014_09_Japan_Unknown_Betacoronavirus_1 MFLILLISLSTAFAVIGDLKCT-----TVSINDVDTGVPSISTDTVDVTNGLGTYYVLDR
OC43_human_USA_901_54_1990_S_AGT51690_1_1990_01_23_USA_Human_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCPLDTSYKGTFNNKDTGPPFISTDTVDVTNGLGTYYVLDR
10290_2010_S_AIV42005_1_2010_07_China_Human_Betacoronavirus_1 MFLILLISLPTAFAVIGDLNCPLDPRLKGSFNNRDTGPPSISTDTVDVTNGLGTYYVLDR
UNKNOWN_DQ915164_S_ABI93999_2_NA_USA_Alpaca_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCT-----TVSINDVDTGVPSISTDTVDVTNGLGTYYVLDR
Buffalo_coronavirus_B1_24F_S_ANJ04717_1_2014_10_01_Bangladesh_Buffalo_Betacoronavirus_1 MFLILLISLPMAFAVIGDLKCT-----TVSINDVDTGVPSISTDTVDVTNGLGTYYVLDR
HCoV_OC43_Seattle_USA_SC831_2016_NA_APU51916_1_2016_USA_Human_Betacoronavirus_1 MFLILLISLPTAFAVIGDLNCTLDPRLKGSFNNRDTGPPSISIDTVDVTNGLGTYYVLDR
OC43_human_USA_851_15_1985_S_AGT51412_1_1985_01_08_USA_Human_Betacoronavirus_1 MFLILLISLPMAFAVIGDLKCTSD---TSYINDVDTGVPPISTDTVDVTNGLGTYYVLDR
5595_2007_S_AIV41975_1_2007_07_China_Human_Betacoronavirus_1 MFLILLISLPTAFAVIGDLNCPLDPRLKGSFNNRDTGPPSISTDTVDVTNGLGTYYVLDR
IWT_16_S_BBM61117_1_2016_07_Japan_Unknown_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCT-----TVSINDVDTGVPSISTDTVDVTNGLGTYYVLDR
YC_55_S_AXX83351_1_2015_03_12_China_Unknown_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCPLDSR-TGSLNNIDTGPPSISTATVDVTNGLGTYYVLDR
OC43_human_USA_991_19_1999_S_AGT51511_1_1999_01_15_USA_Human_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCPLDTSLKGSFNNRDTGSPSISTDTVDVTNGLGTYYVLDR
HCoV_OC43_Seattle_USA_SC2269_2016_NA_ARA15421_1_2016_USA_Human_Betacoronavirus_1 MFLILLISLPTAFAVIGDLNCTLDPRLKGSFNNRDTGPPSISIDTVDVTNGLGTYYVLDR
BJ_124_S_AXX83303_1_2015_05_06_China_Unknown_Betacoronavirus_1 MFLILLISLPTAFAVIGDLNCTLDPRLKGSFNNRDTGLPSISTDTVDVTNGLGTYYVLDR
5240_2007_S_AIV41807_1_2007_05_China_Human_Betacoronavirus_1 MFLILLISLPTAFAVIGDLNCPLDPRLKGSFNNRDTGPPSISTDTVDVTNGLGTYYVLDR
SHG_4_S_BBM61227_1_2015_10_Japan_Unknown_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCT-----TVSINDVDTGVPSISTDTVDVTNGLGTYYVLDR
MY_U413_12_S_AQN78680_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 MFLILLISLPTAFAVIGDLNCPLDPKLKGSFNNRDTGPPSISTDTVDVTNGLGTYYVLDR
TCG_6_S_BBM61377_1_2007_12_Japan_Unknown_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCT-----TVSINDVDTGVPSISTDTVDVTNGLGTYYVLDR
DB2_NA_ABG89288_1_1983_NA_Cattle_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCT-----TVSINDVDTGVPSISTDTVDVTNGLGTYYVLDR
IWT_22_S_BBM61137_1_2016_12_Japan_Unknown_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCT-----TVSINDVDTGVPSISTDTVDVTNGLGTYYVLDR
3184A_2012_S_AIV41849_1_2012_03_China_Human_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCPLDSR-TGSLNNIDTGPPSISTATVDVTNGLGTYYVLDR
7_16_23_S_AVZ61129_1_2016_07_USA_Cattle_Betacoronavirus_1 MFLILLISLPMAFAVIGDLKCT-----TVSINDVDTGVPSISTDTVDVTNGLGTYYVLDR
IWT_3_S_BBM60967_1_2011_06_Japan_Unknown_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCT-----TVSINDVDTGVPSISTDTVDVTNGLGTYYVLDR
IWT_26_S_BBM61177_1_2017_02_Japan_Unknown_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCT-----TVSINDVDTGVPSISTDTVDVTNGLGTYYVLDR
1783A_10_S_AJC98135_1_2010_01_China_Human_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCPLDSR-TGSLNNIDTGPPSISTATVDVTNGLGTYYVLDR
BJ_112_S_AXX83297_1_2015_04_22_China_Unknown_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCPLDSR-TGSLNNIDTGPPSISTATVDVTNGLGTYYVLDR
3269A_2012_S_AIV41843_1_2012_06_China_Human_Betacoronavirus_1 MFLILLISLPTAFAVIGDLNCPLDPKLKGSFNNRDTGLPSISTDTVDVTNGLGTYYVLDR
IWT_9_S_BBM60927_1_2012_04_Japan_Unknown_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCT-----TVSINDVDTGVPSISTDTVDVTNGLGTYYVLDR
HCoV_OC43_Seattle_USA_SC0839_2019_NA_QEG03767_1_2019_USA_Human_Betacoronavirus_1 MFLILLISLPTAFAVIGDLNCTLDPRLRGSFNNRDTGPPSISIDTVDVTNGLGTYYVLDR
4_17_25_S_AVZ61109_1_2017_04_USA_Cattle_Betacoronavirus_1 MFLILLISIPTAFAVIGDLKCT-----TVSINDVDTGAPSISTDIVDVTNGLGTYYVLDR
********:. ********:*. :*: *** * ** ***************
TCG_2_S_BBM61287_1_2006_12_Japan_Unknown_Betacoronavirus_1 VYLNTTLLLNGYYPTSGSTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAKVKNTKVI-K
SHG_2_S_BBM61207_1_2014_09_Japan_Unknown_Betacoronavirus_1 VYLNTTLLLNGYYPTSGSTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAKVKNTKVI-K
OC43_human_USA_901_54_1990_S_AGT51690_1_1990_01_23_USA_Human_Betacoronavirus_1 VYLNTTLFLNGYYPTSGSTYRNMALKGTDKLSTLWFKPPFLSDFINGIFAKVKNTKVF-K
10290_2010_S_AIV42005_1_2010_07_China_Human_Betacoronavirus_1 VYLNTTLFLNGYYPTSGSTYRNMALKGTDLLSKLWFKPPFLSDFINGIFAKVKNTKVF-K
UNKNOWN_DQ915164_S_ABI93999_2_NA_USA_Alpaca_Betacoronavirus_1 VYLNTTLLLNGYYPTSGSTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAKVKNTKVI-K
Buffalo_coronavirus_B1_24F_S_ANJ04717_1_2014_10_01_Bangladesh_Buffalo_Betacoronavirus_1 VYLNTTLLLNGYYPTSGSTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAKVKNTKFI-K
HCoV_OC43_Seattle_USA_SC831_2016_NA_APU51916_1_2016_USA_Human_Betacoronavirus_1 VYLNTTLFLNGYYPTSGSTYRNMALKGTDLLSTLWFKPPFLSDFINGIFAKVKNTKVF-K
OC43_human_USA_851_15_1985_S_AGT51412_1_1985_01_08_USA_Human_Betacoronavirus_1 VYLNTTLFLNGYYPTSGSTYRNMALKGSVLLSTLWFKPPFLSDFINGIFAKVKNTKVI-K
5595_2007_S_AIV41975_1_2007_07_China_Human_Betacoronavirus_1 VYLNTTLFLNGYYPTSGSTYRNMALKGTDKLSTLWFKPPFLSDFINGIFAKVKNTKVF-K
IWT_16_S_BBM61117_1_2016_07_Japan_Unknown_Betacoronavirus_1 VYLNTTLLLNGYYPTSGSTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAEVKNTKVI-K
YC_55_S_AXX83351_1_2015_03_12_China_Unknown_Betacoronavirus_1 VYLNTTLFLNGYYPTSGSTYRNMALKGTDKLSTLWFKPPFLSDFINGIFAKVKNTKVF-K
OC43_human_USA_991_19_1999_S_AGT51511_1_1999_01_15_USA_Human_Betacoronavirus_1 VYLNTTLFLNGYYPTSGSTYRNMALKGTDKLSTLWFKPPFLSDFINGIFAKVKNTKVF-K
HCoV_OC43_Seattle_USA_SC2269_2016_NA_ARA15421_1_2016_USA_Human_Betacoronavirus_1 VYLNTTLFLNGYYPTSGSTYRNMALKGTDLLSTLWFKPPFLSDFINGIFAKVKNTKVF-K
BJ_124_S_AXX83303_1_2015_05_06_China_Unknown_Betacoronavirus_1 VYLNTTLFLNGYYPTSGSTYRNMALKGTDLLSTLWFKPPFLSDFINGIFAKVKNTKVF-K
5240_2007_S_AIV41807_1_2007_05_China_Human_Betacoronavirus_1 VYLNTTLFLNGYYPTSGSTYRNMALKGTDKLSTLWFKPPFLSDFINGIFAKVKNTKVF-K
SHG_4_S_BBM61227_1_2015_10_Japan_Unknown_Betacoronavirus_1 VYLNTTLLLNGYYPTSGSTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAKVKNTKVI-K
MY_U413_12_S_AQN78680_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 VYLNTTLFLNGYYPTSGSTYRNMALKGTDLLSKLWFKPPFLSDFINGIFAKVKNTKVFGK
TCG_6_S_BBM61377_1_2007_12_Japan_Unknown_Betacoronavirus_1 VYLNTTLLLNGYYPTSGSTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAKVKNTKVI-K
DB2_NA_ABG89288_1_1983_NA_Cattle_Betacoronavirus_1 VYLNTTLLLNGYYPTSGSTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAKVKNTKVI-K
IWT_22_S_BBM61137_1_2016_12_Japan_Unknown_Betacoronavirus_1 VYLNTTLLLNGYYPTSGFTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAKVKNTKVI-K
3184A_2012_S_AIV41849_1_2012_03_China_Human_Betacoronavirus_1 VYLNTTLFLNGYYPTSGSTYRNMALKGTDKLSTLWFKPPFLSDFINGIFAKVKNTKVF-K
7_16_23_S_AVZ61129_1_2016_07_USA_Cattle_Betacoronavirus_1 VYLNTTLLLNGYYPTSGSTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAKVKNTKVI-K
IWT_3_S_BBM60967_1_2011_06_Japan_Unknown_Betacoronavirus_1 VYLNTTLLLNGYYPTSGSTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAKVKNTKVI-K
IWT_26_S_BBM61177_1_2017_02_Japan_Unknown_Betacoronavirus_1 VYLNTTLLLNGYYPTSGFTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAKVKNTKVI-K
1783A_10_S_AJC98135_1_2010_01_China_Human_Betacoronavirus_1 VYLNTTLFLNGYYPTSGSTYRNMALKGTDKLSTLWFKPPFLSDFINGIFAKVKNTKVF-K
BJ_112_S_AXX83297_1_2015_04_22_China_Unknown_Betacoronavirus_1 VYLNTTLFLNGYYPTSGSTYRNMALKGTDKLSTLWFKPPFLSDFINGIFAKVKNTKVF-K
3269A_2012_S_AIV41843_1_2012_06_China_Human_Betacoronavirus_1 VYLNTTLFLNGYYPTSGSTYRNMALKGTDLLSKLWFKPPFLSDFINGIFAKVKNTKVF-K
IWT_9_S_BBM60927_1_2012_04_Japan_Unknown_Betacoronavirus_1 VYLNTTLLLNGYYPTSGSTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAKVKNTKVI-K
HCoV_OC43_Seattle_USA_SC0839_2019_NA_QEG03767_1_2019_USA_Human_Betacoronavirus_1 VYLNTTLFLNGYYPTSGSTYRNMALKGTDLLSTLWFKPPFLSDFINGIFAKVKNTKVF-K
4_17_25_S_AVZ61109_1_2017_04_USA_Cattle_Betacoronavirus_1 VYLNTTLLLNGYYPTSGSTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAKVKNTKVI-K
*******:********* *********: **.*********** *****:*****.: *
TCG_2_S_BBM61287_1_2006_12_Japan_Unknown_Betacoronavirus_1 DGVMYSEFPAITIGSTFVNTSYSVVVQPHTTIL----GNKLQGFLEISVCQYTMCEYPNT
SHG_2_S_BBM61207_1_2014_09_Japan_Unknown_Betacoronavirus_1 GGVMYSEFPAITIGSTFVNTSYSVVVQPHTTIL----DNKLQGFLEISVCQYTMCEYPNT
OC43_human_USA_901_54_1990_S_AGT51690_1_1990_01_23_USA_Human_Betacoronavirus_1 DGVMYSEFPAITIGSTFVNTSYSVVVQPRTINS-QDGDNKLQGLLEVSVCQYNMCEYPHT
10290_2010_S_AIV42005_1_2010_07_China_Human_Betacoronavirus_1 DGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEYPHT
UNKNOWN_DQ915164_S_ABI93999_2_NA_USA_Alpaca_Betacoronavirus_1 DGVMYSEFPAITIGSTFVNTSYSVVVQPHTTIL----GNKLQGFLEISVCQYTMCEYPNT
Buffalo_coronavirus_B1_24F_S_ANJ04717_1_2014_10_01_Bangladesh_Buffalo_Betacoronavirus_1 DGVKYSEFPAITIGSTFVNTSYSVVVQPHTFNL----GNKLQGFLEISVCQYTMCEYPNT
HCoV_OC43_Seattle_USA_SC831_2016_NA_APU51916_1_2016_USA_Human_Betacoronavirus_1 DGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEYPHT
OC43_human_USA_851_15_1985_S_AGT51412_1_1985_01_08_USA_Human_Betacoronavirus_1 DDVLYSEFPAITIGSTFVNTSYSVVVQPRTINL----DNKLQGLLEISVCQYNMCEYPHT
5595_2007_S_AIV41975_1_2007_07_China_Human_Betacoronavirus_1 DGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEYPHT
IWT_16_S_BBM61117_1_2016_07_Japan_Unknown_Betacoronavirus_1 DGVMYSEFPAITIGSTFVNTSYSVVVQPHTTIL----GNKLQGFLEISVCQYTMCEYPNT
YC_55_S_AXX83351_1_2015_03_12_China_Unknown_Betacoronavirus_1 DGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEYPHT
OC43_human_USA_991_19_1999_S_AGT51511_1_1999_01_15_USA_Human_Betacoronavirus_1 DGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEYPHT
HCoV_OC43_Seattle_USA_SC2269_2016_NA_ARA15421_1_2016_USA_Human_Betacoronavirus_1 DGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEYPHT
BJ_124_S_AXX83303_1_2015_05_06_China_Unknown_Betacoronavirus_1 DGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEYPHT
5240_2007_S_AIV41807_1_2007_05_China_Human_Betacoronavirus_1 DGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEYPHT
SHG_4_S_BBM61227_1_2015_10_Japan_Unknown_Betacoronavirus_1 DGVMYSEFPAITIGSTFVNTSYSVVVQPHTTIL----GNKLQGFLEISVCQYTMCEYPNT
MY_U413_12_S_AQN78680_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 DGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEHPHT
TCG_6_S_BBM61377_1_2007_12_Japan_Unknown_Betacoronavirus_1 DGVMYSEFPAITIGSTFVNTSYSVVVQPHTTIL----GNKLQGFLEISVCQYTMCEYPNT
DB2_NA_ABG89288_1_1983_NA_Cattle_Betacoronavirus_1 NGVMYSEFPAITIGSTFVNTSYSVVVQPHTTNL----DNKLQGLLEISVCQYTMCEYPNT
IWT_22_S_BBM61137_1_2016_12_Japan_Unknown_Betacoronavirus_1 DGVMYSEFPAITIGSTFVNTSYSVVVQPHTTIL----GNKLQGFLEISVCQYTMCEYPNT
3184A_2012_S_AIV41849_1_2012_03_China_Human_Betacoronavirus_1 DGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEYPHT
7_16_23_S_AVZ61129_1_2016_07_USA_Cattle_Betacoronavirus_1 DGVMYSEFPAITIGSTFVNTSYSVVVQPHTTIW----GNKLQGFLEISVCQYTMCEYPNT
IWT_3_S_BBM60967_1_2011_06_Japan_Unknown_Betacoronavirus_1 DGVMYSEFPAITIGSTFVNTSYSVVVQPHTTIL----GNKLQGFLEISVCQYTMCEYPNT
IWT_26_S_BBM61177_1_2017_02_Japan_Unknown_Betacoronavirus_1 DGVMYSEFPAITIGSTFVNTSYSVVVQPHTTIL----GNKLQGFLEISVCQYTMCEYPNT
1783A_10_S_AJC98135_1_2010_01_China_Human_Betacoronavirus_1 DGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEYPHT
BJ_112_S_AXX83297_1_2015_04_22_China_Unknown_Betacoronavirus_1 DGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEYPHT
3269A_2012_S_AIV41843_1_2012_06_China_Human_Betacoronavirus_1 DGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEHPHT
IWT_9_S_BBM60927_1_2012_04_Japan_Unknown_Betacoronavirus_1 DGVMYSEFPAITIGSTFVNTSYSVVVQPHTTIL----GNKLQGFLEISVCQYTMCEYPNT
HCoV_OC43_Seattle_USA_SC0839_2019_NA_QEG03767_1_2019_USA_Human_Betacoronavirus_1 DGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEYPHT
4_17_25_S_AVZ61109_1_2017_04_USA_Cattle_Betacoronavirus_1 DGVMYSEFPAITIGSTFVNTSYSVVVQPHTTIS----GNKVQGFLEISVCQYTMCEYPHT
..* ************************:* **:**:**:*****.***:*:*
TCG_2_S_BBM61287_1_2006_12_Japan_Unknown_Betacoronavirus_1 ICNPNLGNQRVELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVT
SHG_2_S_BBM61207_1_2014_09_Japan_Unknown_Betacoronavirus_1 ICNPNLGNQRLELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVT
OC43_human_USA_901_54_1990_S_AGT51690_1_1990_01_23_USA_Human_Betacoronavirus_1 ICHPKLGNHFKELWHLDTGVVSCLYKRNFTYDVNANYLYFHFYQEGGTFYAYFTDTGVVT
10290_2010_S_AIV42005_1_2010_07_China_Human_Betacoronavirus_1 ICHPKLGNHFKELWHSDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGFVT
UNKNOWN_DQ915164_S_ABI93999_2_NA_USA_Alpaca_Betacoronavirus_1 ICNSNLGNRRVELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVT
Buffalo_coronavirus_B1_24F_S_ANJ04717_1_2014_10_01_Bangladesh_Buffalo_Betacoronavirus_1 ICNPNLGNQRVELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVT
HCoV_OC43_Seattle_USA_SC831_2016_NA_APU51916_1_2016_USA_Human_Betacoronavirus_1 ICHPNLGNHFKELWHYDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGFVT
OC43_human_USA_851_15_1985_S_AGT51412_1_1985_01_08_USA_Human_Betacoronavirus_1 ICHPNLGNHRTELWHLDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVT
5595_2007_S_AIV41975_1_2007_07_China_Human_Betacoronavirus_1 ICHPKLGNHFKELWHLDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGFVT
IWT_16_S_BBM61117_1_2016_07_Japan_Unknown_Betacoronavirus_1 ICNPNLGNQRVELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVT
YC_55_S_AXX83351_1_2015_03_12_China_Unknown_Betacoronavirus_1 ICHPNLGNHFKELWHMDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGVVT
OC43_human_USA_991_19_1999_S_AGT51511_1_1999_01_15_USA_Human_Betacoronavirus_1 ICHPKLGNHFKELWHLDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGFVT
HCoV_OC43_Seattle_USA_SC2269_2016_NA_ARA15421_1_2016_USA_Human_Betacoronavirus_1 ICHPNLGNHFKELWHYDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGFVT
BJ_124_S_AXX83303_1_2015_05_06_China_Unknown_Betacoronavirus_1 ICHPNLGNHFKELWHLDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGFVT
5240_2007_S_AIV41807_1_2007_05_China_Human_Betacoronavirus_1 ICHPKLGNHFKELWHLDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGFVT
SHG_4_S_BBM61227_1_2015_10_Japan_Unknown_Betacoronavirus_1 ICNPNLGNQRVELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVT
MY_U413_12_S_AQN78680_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 SCHPNLGNHFKELWHLDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGFVT
TCG_6_S_BBM61377_1_2007_12_Japan_Unknown_Betacoronavirus_1 ICNPNLGNQRVELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVT
DB2_NA_ABG89288_1_1983_NA_Cattle_Betacoronavirus_1 ICHPTLGNQRVELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVT
IWT_22_S_BBM61137_1_2016_12_Japan_Unknown_Betacoronavirus_1 ICNPNLGNQRVELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVT
3184A_2012_S_AIV41849_1_2012_03_China_Human_Betacoronavirus_1 ICHPNLGNHFKELWHMDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGVVT
7_16_23_S_AVZ61129_1_2016_07_USA_Cattle_Betacoronavirus_1 ICNSNLGNQRVELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVT
IWT_3_S_BBM60967_1_2011_06_Japan_Unknown_Betacoronavirus_1 ICNPNLGNQRVELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVT
IWT_26_S_BBM61177_1_2017_02_Japan_Unknown_Betacoronavirus_1 ICNPNLGNQRVELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVT
1783A_10_S_AJC98135_1_2010_01_China_Human_Betacoronavirus_1 ICHPKLGNHFKELWHMDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGVVT
BJ_112_S_AXX83297_1_2015_04_22_China_Unknown_Betacoronavirus_1 ICHPNLGNHFKELWHMDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGVVT
3269A_2012_S_AIV41843_1_2012_06_China_Human_Betacoronavirus_1 SCHPNLGNHFKELWHLDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGFVT
IWT_9_S_BBM60927_1_2012_04_Japan_Unknown_Betacoronavirus_1 ICNPNLGNQRVELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVT
HCoV_OC43_Seattle_USA_SC0839_2019_NA_QEG03767_1_2019_USA_Human_Betacoronavirus_1 ICHPNLGNHFKELWHYDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGFVT
4_17_25_S_AVZ61109_1_2017_04_USA_Cattle_Betacoronavirus_1 ICHPNLGNKRVELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVT
*:..***: **** ******************* *********************.**
TCG_2_S_BBM61287_1_2006_12_Japan_Unknown_Betacoronavirus_1 KFLFNVYLGTVLSHYYVMPLTCNS----ALTLEYWVTPLTSKQYLLAFNQDGVIFNAVDC
SHG_2_S_BBM61207_1_2014_09_Japan_Unknown_Betacoronavirus_1 KFLFNVYLGTVLSHYYVMPLTCNS----ALTLEYWVTPLTSKQYLLAFNQDGVIFNAVDC
OC43_human_USA_901_54_1990_S_AGT51690_1_1990_01_23_USA_Human_Betacoronavirus_1 KFLFNVYLGMALSHYYVMPLTCISRRDIGFTLEYWVTPLTSRQYLLAFNQDGIIFNAVDC
10290_2010_S_AIV42005_1_2010_07_China_Human_Betacoronavirus_1 KFLFNVYLGMALSHYYVMPLTCISRLDIGFTLEYWVTPLTPRQYLLAFNQDGIIFNAVDC
UNKNOWN_DQ915164_S_ABI93999_2_NA_USA_Alpaca_Betacoronavirus_1 KFLFNVYLGTVLSHYYVMPLTCNS----ALTLEYWVTPLTSKQYLLAFNQDGVIFNAVDC
Buffalo_coronavirus_B1_24F_S_ANJ04717_1_2014_10_01_Bangladesh_Buffalo_Betacoronavirus_1 KFLFNVYLGTVLSHYYVMPLTCNS----ALTLEYWVTPLTSKQYLLAFNQDGVIFNAVDC
HCoV_OC43_Seattle_USA_SC831_2016_NA_APU51916_1_2016_USA_Human_Betacoronavirus_1 KFLFNVYLGMALSHYYVMPLTCIRRPKDGFSLEYWVTPLTPRQYLLAFNQDGIIFNAVDC
OC43_human_USA_851_15_1985_S_AGT51412_1_1985_01_08_USA_Human_Betacoronavirus_1 KFLFNVYLGMALSHYYVMPLTCNSKRKDGFTLEYWVTPLTSRQYLLAFNQDGIIFNAVDC
5595_2007_S_AIV41975_1_2007_07_China_Human_Betacoronavirus_1 KFLFNVYLGMALSHYYVMPLTCISRLDIGFTLEYWVTPLTPRQYLLAFNQDGIIFNAVDC
IWT_16_S_BBM61117_1_2016_07_Japan_Unknown_Betacoronavirus_1 KFLFNVYLGTVLSHYYVMPLTCNS----ALTLEYWVTPLTSKQYLLAFNQDGVIFNAVDC
YC_55_S_AXX83351_1_2015_03_12_China_Unknown_Betacoronavirus_1 KFLFNVYLGMALSHYYVMPLTCISRRNIGFTLEYWVTPLTSRQYLLAFNQDGIIFNAVDC
OC43_human_USA_991_19_1999_S_AGT51511_1_1999_01_15_USA_Human_Betacoronavirus_1 KFLFNVYLGMALSHYYVMPLTCISRRDIGFTLEYWVTPLTSRQYLLAFNQDGIIFNAVDC
HCoV_OC43_Seattle_USA_SC2269_2016_NA_ARA15421_1_2016_USA_Human_Betacoronavirus_1 KFLFNVYLGMALSHYYVMPLTCIRRPKDGFSLEYWVTPLTPRQYLLAFNQDGIIFNAVDC
BJ_124_S_AXX83303_1_2015_05_06_China_Unknown_Betacoronavirus_1 KFLFNVYLGMALSHYYVMPLTCIRRPKDGFSLEYWVTPLTPRQYLLAFNQDGIIFNAVDC
5240_2007_S_AIV41807_1_2007_05_China_Human_Betacoronavirus_1 KFLFNVYLGMALSHYYVMPLTCISRLDIGFTLEYWVTPLTPRQYLLAFNQDGIIFNAVDC
SHG_4_S_BBM61227_1_2015_10_Japan_Unknown_Betacoronavirus_1 KFLFNVYLGTVLSHYYVMPLTCNS----ALTLEYWVTPLTSKQYLLAFNQDGVIFNAVDC
MY_U413_12_S_AQN78680_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 KFLFNVYLGMALSHYYVMPLTCISRRDIGFTLEYWVTPLTPRQYLLAFNQDGIIFNAVDC
TCG_6_S_BBM61377_1_2007_12_Japan_Unknown_Betacoronavirus_1 KFLFNVYLGTVLSHYYVMPLTCNS----ALTLEYWVTPLTSKQYLLAFNQDGVIFNAVDC
DB2_NA_ABG89288_1_1983_NA_Cattle_Betacoronavirus_1 KFLFNVYLGTVLSHYYVMPLTCDS----AMTLEYWVTPLTSKQYLLAFNQDGVIFNAVDC
IWT_22_S_BBM61137_1_2016_12_Japan_Unknown_Betacoronavirus_1 KFLFNVYLGTVLSHYYVMPLTCNS----ALTLEYWVTPLTSKQYLLAFNQDGVIFNAVDC
3184A_2012_S_AIV41849_1_2012_03_China_Human_Betacoronavirus_1 KFLFNVYLGMALSHYYVMPLTCISRRNIGFTLEYWVTPLTSRQYLLAFNQDGIIFNAVDC
7_16_23_S_AVZ61129_1_2016_07_USA_Cattle_Betacoronavirus_1 KFLFNVYLGTVLSHYYVMPLTCNS----ALTLEYWVTPLTSKQYLLAFNQDGVIFNAVDC
IWT_3_S_BBM60967_1_2011_06_Japan_Unknown_Betacoronavirus_1 KFLFNVYLGTVLSHYYVMPLTCNS----ALTLEYWVTPLTSKQYLLAFNQDGVIFNAVDC
IWT_26_S_BBM61177_1_2017_02_Japan_Unknown_Betacoronavirus_1 KFLFNVYLGTVLSHYYVMPLTCNS----ALTLEYWVTPLTSKQYLLAFNQDGVIFNAVDC
1783A_10_S_AJC98135_1_2010_01_China_Human_Betacoronavirus_1 KFLFNVYLGMALSHYYVMPLTCISRRDIGFTLEYWVTPLTSRQYLLAFNQDGIIFNAVDC
BJ_112_S_AXX83297_1_2015_04_22_China_Unknown_Betacoronavirus_1 KFLFNVYLGMALSHYYVMPLTCISRRNIGFTLEYWVTPLTSRQYLLAFNQDGIIFNAVDC
3269A_2012_S_AIV41843_1_2012_06_China_Human_Betacoronavirus_1 KFLFNVYLGMALSHYYVMPLTCISRRDIGFTLEYWVTPLTPRQYLLAFNQDGIIFNAVDC
IWT_9_S_BBM60927_1_2012_04_Japan_Unknown_Betacoronavirus_1 KFLFNVYLGTVLSHYYVMPLTCNS----ALTLEYWVTPLTSKQYLLAFNQDGVIFNAVDC
HCoV_OC43_Seattle_USA_SC0839_2019_NA_QEG03767_1_2019_USA_Human_Betacoronavirus_1 KFLFNVYLGMALSHYYVMPLTCIRRAKDGFSPEYWVTPLTPRQYLLAFNQDGIIFNAVDC
4_17_25_S_AVZ61109_1_2017_04_USA_Cattle_Betacoronavirus_1 KFLFNVYLGTVLSHYYVMPLTCNS----ALTLEYWVTPLTSKQYLLAFNQDGVIFNAVDC
********* .*********** .:: ********.:**********:*******
TCG_2_S_BBM61287_1_2006_12_Japan_Unknown_Betacoronavirus_1 KSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPNLPDCNIEAWLNDKSVPSPL
SHG_2_S_BBM61207_1_2014_09_Japan_Unknown_Betacoronavirus_1 KSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPNLPDCNIEAWLNDKSVPSPL
OC43_human_USA_901_54_1990_S_AGT51690_1_1990_01_23_USA_Human_Betacoronavirus_1 MSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPDLPNCNIEAWLNDKSVPSPL
10290_2010_S_AIV42005_1_2010_07_China_Human_Betacoronavirus_1 MSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPDLPNCNIEAWLNDKSVPSPL
UNKNOWN_DQ915164_S_ABI93999_2_NA_USA_Alpaca_Betacoronavirus_1 KSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPNLPDCNIEAWLNDKSVPSPL
Buffalo_coronavirus_B1_24F_S_ANJ04717_1_2014_10_01_Bangladesh_Buffalo_Betacoronavirus_1 KSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPNLPDCNIEAWLNDKSVPSPL
HCoV_OC43_Seattle_USA_SC831_2016_NA_APU51916_1_2016_USA_Human_Betacoronavirus_1 MSDFMSEIKCKTQSIAPPTGVYELNGYTVQPVADVYRRKPDLPNCNIEAWLNDKSVPSPL
OC43_human_USA_851_15_1985_S_AGT51412_1_1985_01_08_USA_Human_Betacoronavirus_1 MSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPNLPNCNIEAWLNDKSVPSPL
5595_2007_S_AIV41975_1_2007_07_China_Human_Betacoronavirus_1 MSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPDLPNCNIEAWLNDKSVPSPL
IWT_16_S_BBM61117_1_2016_07_Japan_Unknown_Betacoronavirus_1 KSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPNLPDCNIEAWLNDKSVPSPL
YC_55_S_AXX83351_1_2015_03_12_China_Unknown_Betacoronavirus_1 MSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPDLPNCNIEAWLNDKSVPSPL
OC43_human_USA_991_19_1999_S_AGT51511_1_1999_01_15_USA_Human_Betacoronavirus_1 MSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPDLPNCNIEAWLNDKSVPSPL
HCoV_OC43_Seattle_USA_SC2269_2016_NA_ARA15421_1_2016_USA_Human_Betacoronavirus_1 MSDFMSEIKCKTQSIAPPTGVYELNGYTVQPVADVYRRKPDLPNCNIEAWLNDKSVPSPL
BJ_124_S_AXX83303_1_2015_05_06_China_Unknown_Betacoronavirus_1 MSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPDLPNCNIEAWLNDKSVPSPL
5240_2007_S_AIV41807_1_2007_05_China_Human_Betacoronavirus_1 MSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPDLPNCNIEAWLNDKSVPSPL
SHG_4_S_BBM61227_1_2015_10_Japan_Unknown_Betacoronavirus_1 KSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPNLPDCNIEAWLNDKSVPSPL
MY_U413_12_S_AQN78680_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 MSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPDLPNCNIEAWLNDKSVPSPL
TCG_6_S_BBM61377_1_2007_12_Japan_Unknown_Betacoronavirus_1 KSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPNLPDCNIEAWLNDKSVPSPL
DB2_NA_ABG89288_1_1983_NA_Cattle_Betacoronavirus_1 KSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPNLPDCNIEAWLNDKSVPSPL
IWT_22_S_BBM61137_1_2016_12_Japan_Unknown_Betacoronavirus_1 KSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPNLPDCNIEAWLNDKSVPSPL
3184A_2012_S_AIV41849_1_2012_03_China_Human_Betacoronavirus_1 MSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPDLPNCNIEAWLNDKSVPSPL
7_16_23_S_AVZ61129_1_2016_07_USA_Cattle_Betacoronavirus_1 KSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPNLPDCNIEAWLNDKSVPSPL
IWT_3_S_BBM60967_1_2011_06_Japan_Unknown_Betacoronavirus_1 KSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPSLPDCNIEAWLNDKSVPSPL
IWT_26_S_BBM61177_1_2017_02_Japan_Unknown_Betacoronavirus_1 KSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPNLPDCNIEAWLNDKSVPSPL
1783A_10_S_AJC98135_1_2010_01_China_Human_Betacoronavirus_1 MSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPDLPNCNIEAWLNDKSVPSPL
BJ_112_S_AXX83297_1_2015_04_22_China_Unknown_Betacoronavirus_1 MSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPDLPNCNIEAWLNDKSVPSPL
3269A_2012_S_AIV41843_1_2012_06_China_Human_Betacoronavirus_1 MSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPDLPNCNIEAWLNDKSVPSPL
IWT_9_S_BBM60927_1_2012_04_Japan_Unknown_Betacoronavirus_1 KSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPNLPDCNIEAWLNDKSVPSPL
HCoV_OC43_Seattle_USA_SC0839_2019_NA_QEG03767_1_2019_USA_Human_Betacoronavirus_1 MSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPDLPNCNIEAWLNDKSVPSPL
4_17_25_S_AVZ61109_1_2017_04_USA_Cattle_Betacoronavirus_1 RSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPNLPDCNIEAWLNDKSVPSPL
*********** ****.*************:****** *.**:****************
TCG_2_S_BBM61287_1_2006_12_Japan_Unknown_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQ
SHG_2_S_BBM61207_1_2014_09_Japan_Unknown_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQ
OC43_human_USA_901_54_1990_S_AGT51690_1_1990_01_23_USA_Human_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNSRKVDLQ
10290_2010_S_AIV42005_1_2010_07_China_Human_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNRRKVDLQ
UNKNOWN_DQ915164_S_ABI93999_2_NA_USA_Alpaca_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQ
Buffalo_coronavirus_B1_24F_S_ANJ04717_1_2014_10_01_Bangladesh_Buffalo_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQ
HCoV_OC43_Seattle_USA_SC831_2016_NA_APU51916_1_2016_USA_Human_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNRRKVDLQ
OC43_human_USA_851_15_1985_S_AGT51412_1_1985_01_08_USA_Human_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQ
5595_2007_S_AIV41975_1_2007_07_China_Human_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNRRKVDLQ
IWT_16_S_BBM61117_1_2016_07_Japan_Unknown_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQ
YC_55_S_AXX83351_1_2015_03_12_China_Unknown_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQ
OC43_human_USA_991_19_1999_S_AGT51511_1_1999_01_15_USA_Human_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQ
HCoV_OC43_Seattle_USA_SC2269_2016_NA_ARA15421_1_2016_USA_Human_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNRRKVDLQ
BJ_124_S_AXX83303_1_2015_05_06_China_Unknown_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNRRKVDLQ
5240_2007_S_AIV41807_1_2007_05_China_Human_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNRRKVDLQ
SHG_4_S_BBM61227_1_2015_10_Japan_Unknown_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQ
MY_U413_12_S_AQN78680_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNRRKVDLQ
TCG_6_S_BBM61377_1_2007_12_Japan_Unknown_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQ
DB2_NA_ABG89288_1_1983_NA_Cattle_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQ
IWT_22_S_BBM61137_1_2016_12_Japan_Unknown_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQ
3184A_2012_S_AIV41849_1_2012_03_China_Human_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQ
7_16_23_S_AVZ61129_1_2016_07_USA_Cattle_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQ
IWT_3_S_BBM60967_1_2011_06_Japan_Unknown_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQ
IWT_26_S_BBM61177_1_2017_02_Japan_Unknown_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQ
1783A_10_S_AJC98135_1_2010_01_China_Human_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQ
BJ_112_S_AXX83297_1_2015_04_22_China_Unknown_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQ
3269A_2012_S_AIV41843_1_2012_06_China_Human_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNRRKVDLQ
IWT_9_S_BBM60927_1_2012_04_Japan_Unknown_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQ
HCoV_OC43_Seattle_USA_SC0839_2019_NA_QEG03767_1_2019_USA_Human_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNRRKVDLQ
4_17_25_S_AVZ61109_1_2017_04_USA_Cattle_Betacoronavirus_1 NWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQ
***************************************************** ******
TCG_2_S_BBM61287_1_2006_12_Japan_Unknown_Betacoronavirus_1 LGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQSVFKPQPAG
SHG_2_S_BBM61207_1_2014_09_Japan_Unknown_Betacoronavirus_1 LGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQSVFKPQPAG
OC43_human_USA_901_54_1990_S_AGT51690_1_1990_01_23_USA_Human_Betacoronavirus_1 LGNLGYLQSSNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFVPQPTG
10290_2010_S_AIV42005_1_2010_07_China_Human_Betacoronavirus_1 LGNLGYLQSSNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFVPQPTG
UNKNOWN_DQ915164_S_ABI93999_2_NA_USA_Alpaca_Betacoronavirus_1 LGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQSVFKPQPAG
Buffalo_coronavirus_B1_24F_S_ANJ04717_1_2014_10_01_Bangladesh_Buffalo_Betacoronavirus_1 LGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQFVFKPQPLG
HCoV_OC43_Seattle_USA_SC831_2016_NA_APU51916_1_2016_USA_Human_Betacoronavirus_1 LGNLGYLQSSNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFVPQPTG
OC43_human_USA_851_15_1985_S_AGT51412_1_1985_01_08_USA_Human_Betacoronavirus_1 LGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFKPQPAG
5595_2007_S_AIV41975_1_2007_07_China_Human_Betacoronavirus_1 LGNLGYLQSSNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFVPQPTG
IWT_16_S_BBM61117_1_2016_07_Japan_Unknown_Betacoronavirus_1 LGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQSVFKPQPAG
YC_55_S_AXX83351_1_2015_03_12_China_Unknown_Betacoronavirus_1 LGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFKPQPAG
OC43_human_USA_991_19_1999_S_AGT51511_1_1999_01_15_USA_Human_Betacoronavirus_1 LGNLGYLQSSNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFVPQPTG
HCoV_OC43_Seattle_USA_SC2269_2016_NA_ARA15421_1_2016_USA_Human_Betacoronavirus_1 LGNLGYLQSSNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFVPQPTG
BJ_124_S_AXX83303_1_2015_05_06_China_Unknown_Betacoronavirus_1 LGNLGYLQSSNYRIDTTATSCQLYYNLPAANVSVSRFNPSIWNKRFGFIEDSVFVPQPTG
5240_2007_S_AIV41807_1_2007_05_China_Human_Betacoronavirus_1 LGNLGYLQSSNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFVPQPTG
SHG_4_S_BBM61227_1_2015_10_Japan_Unknown_Betacoronavirus_1 LGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQSVFKPQPAG
MY_U413_12_S_AQN78680_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 LGNLGYLQSSNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFVPQPTG
TCG_6_S_BBM61377_1_2007_12_Japan_Unknown_Betacoronavirus_1 LGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQSVFKPQPAG
DB2_NA_ABG89288_1_1983_NA_Cattle_Betacoronavirus_1 LGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQSVFKPQPAG
IWT_22_S_BBM61137_1_2016_12_Japan_Unknown_Betacoronavirus_1 LGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQSVFKPQPAG
3184A_2012_S_AIV41849_1_2012_03_China_Human_Betacoronavirus_1 LGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFKPQPAG
7_16_23_S_AVZ61129_1_2016_07_USA_Cattle_Betacoronavirus_1 LGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQSVFKPQPAG
IWT_3_S_BBM60967_1_2011_06_Japan_Unknown_Betacoronavirus_1 LGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQSVFKPQPAG
IWT_26_S_BBM61177_1_2017_02_Japan_Unknown_Betacoronavirus_1 LGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQSVFKPQPAG
1783A_10_S_AJC98135_1_2010_01_China_Human_Betacoronavirus_1 LGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIENSVFKPQPAG
BJ_112_S_AXX83297_1_2015_04_22_China_Unknown_Betacoronavirus_1 LGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFKPQPAG
3269A_2012_S_AIV41843_1_2012_06_China_Human_Betacoronavirus_1 LGNLGYLQSSNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFVPQPTG
IWT_9_S_BBM60927_1_2012_04_Japan_Unknown_Betacoronavirus_1 LGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQSVFKPQPAG
HCoV_OC43_Seattle_USA_SC0839_2019_NA_QEG03767_1_2019_USA_Human_Betacoronavirus_1 LGNLGYLQSSNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFKPQPAG
4_17_25_S_AVZ61109_1_2017_04_USA_Cattle_Betacoronavirus_1 LGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQSVFKPQPAG
********* ****************************** **:**** *: ** *** *
TCG_2_S_BBM61287_1_2006_12_Japan_Unknown_Betacoronavirus_1 VFTDHDVVYAQHCFKAPTNFCPCKMDGSLCVGSGSGIDAGYKNTGIGTCPAGTNYLTCHN
SHG_2_S_BBM61207_1_2014_09_Japan_Unknown_Betacoronavirus_1 VFTDHDVVYAQHCFKAPTNFCPCKLDGSLCVGSGSGIDAGYKNTGIGTCPAGTNYLTCHN
OC43_human_USA_901_54_1990_S_AGT51690_1_1990_01_23_USA_Human_Betacoronavirus_1 VFTNHSVVYAQHCFKAPKNFCPCKLNGS-CPG---------KNNGIGTCPAGTNYLTCDN
10290_2010_S_AIV42005_1_2010_07_China_Human_Betacoronavirus_1 VFTNHSVVYAQHCFKAPKNFCPC---S-SCPG---------KNNGLGTCPAGTNHLTCDN
UNKNOWN_DQ915164_S_ABI93999_2_NA_USA_Alpaca_Betacoronavirus_1 VFTDHDVVYAQHCFKAPTNFCPCKLDGSLCVGNGPGIDAGYKTSGIGTCPAGTNYLTCHN
Buffalo_coronavirus_B1_24F_S_ANJ04717_1_2014_10_01_Bangladesh_Buffalo_Betacoronavirus_1 VFTDHDVVFAQHCFKAPTNFCPCKLDGSLCVGTGSGIDAGYKNTGIGTCPAGTNYLTCHN
HCoV_OC43_Seattle_USA_SC831_2016_NA_APU51916_1_2016_USA_Human_Betacoronavirus_1 VFTNHSVVYAQHCFKAPKNFCPC----SSCPG---------KNNGIGTCPAGTNSLTCDN
OC43_human_USA_851_15_1985_S_AGT51412_1_1985_01_08_USA_Human_Betacoronavirus_1 VFTNHDVVYAQHCFKAPKNFCPCKLNGSLCVGSGPG-----KNNGIGTCPAGTNYLTCHN
5595_2007_S_AIV41975_1_2007_07_China_Human_Betacoronavirus_1 VFTNHSVVYAQHCFKAPKNFCPC---S-SCPG---------KNNGIGTCPAGTNYLTCDN
IWT_16_S_BBM61117_1_2016_07_Japan_Unknown_Betacoronavirus_1 VFTDHDVVYAQHCFKAPTNFCPCKLDGSLCVGSGSGIDAGYKNTGIGICPAGTNYLTCHN
YC_55_S_AXX83351_1_2015_03_12_China_Unknown_Betacoronavirus_1 VLTNHDVVYAQHCFKAPKNFCPCKSNSSLCVGSGPG-----KNNGIGTCPAGTNYLTCHN
OC43_human_USA_991_19_1999_S_AGT51511_1_1999_01_15_USA_Human_Betacoronavirus_1 VFTNHSVVYAQHCFKAPKNFCPCKLNGS-CPD---------KNNGIGTCPAGTNYLTCDN
HCoV_OC43_Seattle_USA_SC2269_2016_NA_ARA15421_1_2016_USA_Human_Betacoronavirus_1 VFTNHSVVYAQHCFKAPKNFCPC----SSCPG---------KNNGIGTCPAGTNSLTCDN
BJ_124_S_AXX83303_1_2015_05_06_China_Unknown_Betacoronavirus_1 VFTNHSVVYAQHCFKAPKNFCPC----SSCPG---------KNNGIGTCPAGTNSLTCDN
5240_2007_S_AIV41807_1_2007_05_China_Human_Betacoronavirus_1 VFTNHSVVYAQHCFKAPKNFCPC---S-SCPG---------KNNGIGTCPAGTNYLTCDN
SHG_4_S_BBM61227_1_2015_10_Japan_Unknown_Betacoronavirus_1 VFTDHDVVYAQHCFKAPTNFCPCKLDGSLCVGSGSGIDAGYKNTGIGICPAGTNYLTCHN
MY_U413_12_S_AQN78680_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 VFTNHSVVYAQHCFKAPKNFCPC---S-SCPG---------KNNGIGTCPAGTNYLTCDN
TCG_6_S_BBM61377_1_2007_12_Japan_Unknown_Betacoronavirus_1 VFTDHDVVYAQHCIKAPTNFCPCKLDGSLCVGNGFGIDAGYKNTGIGTCPAGTNYLTCHN
DB2_NA_ABG89288_1_1983_NA_Cattle_Betacoronavirus_1 VFTAHDVVYAQHCFKAPTNFCPCKLDGSLCVGNGPGIDAGYKTSGIGTCPAGTNYLTCHN
IWT_22_S_BBM61137_1_2016_12_Japan_Unknown_Betacoronavirus_1 VFADHDVVYAQHCFKAPTNFCPCKLDGSLCVGSGSGIDAGYKNTGIGTCPAGTNYLTCHN
3184A_2012_S_AIV41849_1_2012_03_China_Human_Betacoronavirus_1 VLTNHDVVYAQHCFKAPKNFCPCKSNSSLCVGSGPG-----KNNGIGTCPAGTNYLTCHN
7_16_23_S_AVZ61129_1_2016_07_USA_Cattle_Betacoronavirus_1 VFTDHDVVYAQHCFKAPTNFCPCKLGGSLCVGNGPGIDAGYKTTGIGTCPAGTNYLTCYN
IWT_3_S_BBM60967_1_2011_06_Japan_Unknown_Betacoronavirus_1 VFTDHDVVYAQHCFKAPTNFCPCKLDGSLCVGSGSGIDAGYKNTGIGTCPAGTNYLTCHN
IWT_26_S_BBM61177_1_2017_02_Japan_Unknown_Betacoronavirus_1 VFADHDVVYAQHCFKAPTNFCPCKLDGSLCVGSGSGIDAGYKNTGIGTCPAGTNYLTCHN
1783A_10_S_AJC98135_1_2010_01_China_Human_Betacoronavirus_1 VLTNHDVVYAQHCFKAPKNFCPCKLNSSLCVGSGPG-----KNNGIGTCPAGTNYLTCHN
BJ_112_S_AXX83297_1_2015_04_22_China_Unknown_Betacoronavirus_1 VLTNHDVVYAQHCFKAPKNFCPCKSNSSLCVGSGPG-----KNNGIGTCPAGTNYLTCHN
3269A_2012_S_AIV41843_1_2012_06_China_Human_Betacoronavirus_1 VFTNHSVVYAQHCFKAPKNFCPC---S-SCPG---------KNNGIGTCPAGTNYLTCDN
IWT_9_S_BBM60927_1_2012_04_Japan_Unknown_Betacoronavirus_1 VFTDHDVVYAQHCFKAPTNFCPCKLDGSLCVGSGSGIDAGYKNTGIGICPAGTNYLTCHN
HCoV_OC43_Seattle_USA_SC0839_2019_NA_QEG03767_1_2019_USA_Human_Betacoronavirus_1 VLTNHDVVYAQHCFKAPKNFCPC----SSCSG---------KNNGIGTCPAGTNSLTCDN
4_17_25_S_AVZ61109_1_2017_04_USA_Cattle_Betacoronavirus_1 VFTDHDVVYAQHCFKAPTNFCPCKLDGSLCVGSGSGIDAGYKTTGIGTCPAGTNYLTCYN
*:: *.**:****:***.***** * . *..*:* ****** *** *
TCG_2_S_BBM61287_1_2006_12_Japan_Unknown_Betacoronavirus_1 AAQCDCLCTPDPITSKATGPHKCPQAKYLVGIGEHCSGLAIKSDHCGGNPCSCQPQAFLG
SHG_2_S_BBM61207_1_2014_09_Japan_Unknown_Betacoronavirus_1 AAQCDCLCTPDPITSKATGPHKCPQTKYLVGIGEHCSGLAIKSDHCGGNPCSCQPQAFLG
OC43_human_USA_901_54_1990_S_AGT51690_1_1990_01_23_USA_Human_Betacoronavirus_1 ------LCTLDPITFKAPGTYKCPQTKSLVGIGEHCSGLAVKSDYCGGNSCTCQPQAFLG
10290_2010_S_AIV42005_1_2010_07_China_Human_Betacoronavirus_1 ------LCTLDPITFKAPDTYKCPQTKSLVGIGEHCSGLAVKSDYCGNNSCTCQPQAFLG
UNKNOWN_DQ915164_S_ABI93999_2_NA_USA_Alpaca_Betacoronavirus_1 AAQCNCLCTPDPITSKATGPYKCPQTKYLVGIGEHCSGPAIKSDYCGGNPCTCQPQAFLG
Buffalo_coronavirus_B1_24F_S_ANJ04717_1_2014_10_01_Bangladesh_Buffalo_Betacoronavirus_1 AAQCDCLCTPDPITSKATGPYKCPQTKYLVGIGEHCSGLAIKSDYCGGNPCSCQPQAFLG
HCoV_OC43_Seattle_USA_SC831_2016_NA_APU51916_1_2016_USA_Human_Betacoronavirus_1 ------LCTLDPITLKAPDTYKCPQSKSLVGIGEHCSGLAVKSDYCGNNSCTCQPQAFLG
OC43_human_USA_851_15_1985_S_AGT51412_1_1985_01_08_USA_Human_Betacoronavirus_1 ------LCNPDPITFT--GPYKCPQTKSLVGIGEHCSGLAVKSDYCGGNPCTCQPQAFLG
5595_2007_S_AIV41975_1_2007_07_China_Human_Betacoronavirus_1 ------LCTLDPITFKAPDTYKCPQTKSLVGIGEHCSGLAVKSDYCGNNSCTCQPQAFLG
IWT_16_S_BBM61117_1_2016_07_Japan_Unknown_Betacoronavirus_1 AAQCDCLCTPDPITSKATGPHKCPQAKYLVGIGEHCSGLAIKSDHCGGNPCSCQPQAFLG
YC_55_S_AXX83351_1_2015_03_12_China_Unknown_Betacoronavirus_1 ------LCNPDPITFT--GPYKCPQSKSLVGIGEHCSGLAVKSDYCGGNPCTCQPQAFLG
OC43_human_USA_991_19_1999_S_AGT51511_1_1999_01_15_USA_Human_Betacoronavirus_1 ------LCTLDPITFKAPGTYKCPQTKSLVGIGEHCSGLAVKSDYCRGNSCTCQPQAFLG
HCoV_OC43_Seattle_USA_SC2269_2016_NA_ARA15421_1_2016_USA_Human_Betacoronavirus_1 ------LCTLDPITLKAPDTYKCPQSKSLVGIGEHCSGLAVKSDYCGNNSCTCQPQAFLG
BJ_124_S_AXX83303_1_2015_05_06_China_Unknown_Betacoronavirus_1 ------LCTLDPITLKAPDTYKCPQSKSLVGIGEHCSGLAVKSDYCGNNSCTCQPQAFLG
5240_2007_S_AIV41807_1_2007_05_China_Human_Betacoronavirus_1 ------LCTLDPITFKAPDTYKCPQTKSLVGIGEHCSGLAVKSDYCGNNSCTCQPQAFLG
SHG_4_S_BBM61227_1_2015_10_Japan_Unknown_Betacoronavirus_1 AAQCDCLCTPDPITSKATGPHKCPQAKYLVGIGEHCSGLAIKSDHCGGNPCSCQPQAFLG
MY_U413_12_S_AQN78680_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 ------LCTLDPITFKAPDTYKCPQTKSLVGIGEHCSGLAVKSDYCGNNSCTCQPQAFLG
TCG_6_S_BBM61377_1_2007_12_Japan_Unknown_Betacoronavirus_1 AAQCDCLCTPDPITSKATGPHKCPQTKYLVGIGEHCSGLAIKSDHCGGNPCSCQPQAFLG
DB2_NA_ABG89288_1_1983_NA_Cattle_Betacoronavirus_1 AAQCDCLCTPDPISSKATGPYKCPQTKYLVGIGEHCSGLAIKSDYCGGNPCTCQPQAFLG
IWT_22_S_BBM61137_1_2016_12_Japan_Unknown_Betacoronavirus_1 AAQCDCLCTPDPITSKATGPHKCPQTKYLVGIGEHCSGLAIKSDHCGGNPCSCQPQAFLG
3184A_2012_S_AIV41849_1_2012_03_China_Human_Betacoronavirus_1 ------LCNPDPITFT--GPYKCPQTKSLVGIGEHCSGLAVKSDYCGGNPCTCQPQAFLG
7_16_23_S_AVZ61129_1_2016_07_USA_Cattle_Betacoronavirus_1 AAQCDCLCTPDPITSKATGSYKCPQTKYLVGIGEHCSGLAIKSDHCGGNPCSCQPQAFLG
IWT_3_S_BBM60967_1_2011_06_Japan_Unknown_Betacoronavirus_1 AAQCDCLCTPDPITSKATGPHKCPQAKYLVGIGEHCSGLAIKSDHCGGNPCSCQPQAFLG
IWT_26_S_BBM61177_1_2017_02_Japan_Unknown_Betacoronavirus_1 AAQCDCLCTPDPITSKATGPHKCPQTKYLVGIGEHCSGLAIKSDHCGGNPCSCQPQAFLG
1783A_10_S_AJC98135_1_2010_01_China_Human_Betacoronavirus_1 ------LCNPDPITFT--GPYKCPQTKSLVGIGEHCSGLAVKSDYCGGNPCTCQPQAFLG
BJ_112_S_AXX83297_1_2015_04_22_China_Unknown_Betacoronavirus_1 ------LCNPDPITFT--GPYKCPQTKSLVGIGEHCSGLAVKSDYCGGNPCTCQPQAFLG
3269A_2012_S_AIV41843_1_2012_06_China_Human_Betacoronavirus_1 ------LCTLDPITFKAPDTYKCPQTKSLVGIGEHCSGLAVKSDYCGNNSCTCQPQAFLG
IWT_9_S_BBM60927_1_2012_04_Japan_Unknown_Betacoronavirus_1 AAQCDCLCTPDPITSKATGPHKCPQAKYLVGIGEHCSGLAIKSDHCGGNPCSCQPQAFLG
HCoV_OC43_Seattle_USA_SC0839_2019_NA_QEG03767_1_2019_USA_Human_Betacoronavirus_1 ------LCTLDPITLKAPDTYKCPQSKSLVGIGEHCSGLAVKSDYCGNNSCTCQPQAFLG
4_17_25_S_AVZ61109_1_2017_04_USA_Cattle_Betacoronavirus_1 AAQCDCLCTPDPITSKATGSYKCPQTKYLVGIGEHCSGLAIKSDYCGGNPCSCQPQAFLG
**. ***: . ..:****:* ********** *:***:* .*.*:********
TCG_2_S_BBM61287_1_2006_12_Japan_Unknown_Betacoronavirus_1 WSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIILGVCVNYDLYGITGQGIFV
SHG_2_S_BBM61207_1_2014_09_Japan_Unknown_Betacoronavirus_1 WSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIILGVCVNYDLYGITGQGIFV
OC43_human_USA_901_54_1990_S_AGT51690_1_1990_01_23_USA_Human_Betacoronavirus_1 WSADSCLQGDKCNIFANLILHDVNSGLTCSTDLQKANTDIILGVCVNYDLYGISGQGIFV
10290_2010_S_AIV42005_1_2010_07_China_Human_Betacoronavirus_1 WSADSCLQGDKCNIFANFILHDVNNGLTCSTDLQKANTEIELGVCVNYDLYGISGQGIFV
UNKNOWN_DQ915164_S_ABI93999_2_NA_USA_Alpaca_Betacoronavirus_1 WSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIILGVCVNYDLYGITGQGIFV
Buffalo_coronavirus_B1_24F_S_ANJ04717_1_2014_10_01_Bangladesh_Buffalo_Betacoronavirus_1 WSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIILGVCVNYDLYGITGQGIFV
HCoV_OC43_Seattle_USA_SC831_2016_NA_APU51916_1_2016_USA_Human_Betacoronavirus_1 WSADSCLQGDKCNIFANFILHDVNNGLTCSTDLQKANTEIELGVCVNYDLYGISGQGIFV
OC43_human_USA_851_15_1985_S_AGT51412_1_1985_01_08_USA_Human_Betacoronavirus_1 WSADSCLQGDKCNIFANLILHDVNSGLTCSTDLQKANTDIILGVCVNYDLYGISGQGIFV
5595_2007_S_AIV41975_1_2007_07_China_Human_Betacoronavirus_1 WSADSCLQGDKCNIFANFILHDVNNGLTCSTDLQKANTEIELGVCVNYDLYGISGQGIFV
IWT_16_S_BBM61117_1_2016_07_Japan_Unknown_Betacoronavirus_1 WSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIIFGVCVNYDLYGITGQGIFV
YC_55_S_AXX83351_1_2015_03_12_China_Unknown_Betacoronavirus_1 WSADSCLQGDKCNIFANLILHDVNSGLTCSTDLQKANTDIKLGVCVNYDLYGISGQGIFV
OC43_human_USA_991_19_1999_S_AGT51511_1_1999_01_15_USA_Human_Betacoronavirus_1 WSADSCLQGDKCNIFANLILHDVNSGLTCSTDLQKANTDIILGVCVNYDLYGISGQGIFV
HCoV_OC43_Seattle_USA_SC2269_2016_NA_ARA15421_1_2016_USA_Human_Betacoronavirus_1 WSADSCLQGDKCNIFANFILHDVNNGLTCSTDLQKANTEIELGVCVNYDLYGISGQGIFV
BJ_124_S_AXX83303_1_2015_05_06_China_Unknown_Betacoronavirus_1 WSADSCLQGNKCNIFANFILHDVNNGLTCSTDLQKANTEIELGVCVNYDLYGISGQGIFV
5240_2007_S_AIV41807_1_2007_05_China_Human_Betacoronavirus_1 WSADSCLQGDKCNIFANFILHDVNNGLTCSTDLQKANTEIELGVCVNYDLYGISGQGIFV
SHG_4_S_BBM61227_1_2015_10_Japan_Unknown_Betacoronavirus_1 WSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIILGVCVNYDLYGITGQGIFV
MY_U413_12_S_AQN78680_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 WSADSCLQGDKCNIFANFILHDVNNGLTCSTDLQKANTEIELGVCVNYDLYGISGQGIFV
TCG_6_S_BBM61377_1_2007_12_Japan_Unknown_Betacoronavirus_1 WSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIILGVCVNYDLYGITGQGIFV
DB2_NA_ABG89288_1_1983_NA_Cattle_Betacoronavirus_1 WSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIILGVCVNYDLYGITGQGIFV
IWT_22_S_BBM61137_1_2016_12_Japan_Unknown_Betacoronavirus_1 WSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIILGVCVNYDLYGITGQGIFV
3184A_2012_S_AIV41849_1_2012_03_China_Human_Betacoronavirus_1 WSADSCLQGDKCNIFANLILHDVNSGLTCSTDLQKANTDIKLGVCVNYDLYGISGQGIFV
7_16_23_S_AVZ61129_1_2016_07_USA_Cattle_Betacoronavirus_1 WSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIILGVCVNYDLYGITGQGIFV
IWT_3_S_BBM60967_1_2011_06_Japan_Unknown_Betacoronavirus_1 WSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIILGVCVNYDLYGITGQGIFV
IWT_26_S_BBM61177_1_2017_02_Japan_Unknown_Betacoronavirus_1 WSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIILGVCVNYDLYGITGQGIFV
1783A_10_S_AJC98135_1_2010_01_China_Human_Betacoronavirus_1 WSADSCLQGDKCNIFANLILHDVNSGLTCSTDLQKANTDIKLGVCVNYDLYGISGQGIFV
BJ_112_S_AXX83297_1_2015_04_22_China_Unknown_Betacoronavirus_1 WSADSCLQGDKCNIFANLILHDVNSGLTCSTDLQKANTDIKLGVCVNYDLYGISGQGIFV
3269A_2012_S_AIV41843_1_2012_06_China_Human_Betacoronavirus_1 WSADSCLQGDKCNIFANFILHDVNNGLTCSTDLQKANTEIELGVCVNYDLYGISGQGIFV
IWT_9_S_BBM60927_1_2012_04_Japan_Unknown_Betacoronavirus_1 WSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIILGVCVNYDLYGITGQGIFV
HCoV_OC43_Seattle_USA_SC0839_2019_NA_QEG03767_1_2019_USA_Human_Betacoronavirus_1 WSADSCLQGDKCNIFANFILHDVNNGLTCSTDLQKANTEIELGVCVNYDLYGISGQGIFV
4_17_25_S_AVZ61109_1_2017_04_USA_Cattle_Betacoronavirus_1 WSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIILGVCVNYDLYGITGQGIFV
**.******::******:******.* ********:**:* :***********:******
TCG_2_S_BBM61287_1_2006_12_Japan_Unknown_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHANSSEPALLFRN
SHG_2_S_BBM61207_1_2014_09_Japan_Unknown_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHANSSEPALLFRN
OC43_human_USA_901_54_1990_S_AGT51690_1_1990_01_23_USA_Human_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIRSCYSGRVSAAFHANSSEPALLFRN
10290_2010_S_AIV42005_1_2010_07_China_Human_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIHSCYSGRVSAAYHANSSEPALLFRN
UNKNOWN_DQ915164_S_ABI93999_2_NA_USA_Alpaca_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHANSSEPASLFRN
Buffalo_coronavirus_B1_24F_S_ANJ04717_1_2014_10_01_Bangladesh_Buffalo_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHANSSEPALLFWN
HCoV_OC43_Seattle_USA_SC831_2016_NA_APU51916_1_2016_USA_Human_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIHSCYSGRVSAAYHANSSEPALLFRN
OC43_human_USA_851_15_1985_S_AGT51412_1_1985_01_08_USA_Human_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIRSCYSGRVSAAFHANSSEPALLFRN
5595_2007_S_AIV41975_1_2007_07_China_Human_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIHSCYSGRVSAAYHANSSEPALLFRN
IWT_16_S_BBM61117_1_2016_07_Japan_Unknown_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHANSSEPALLFRN
YC_55_S_AXX83351_1_2015_03_12_China_Unknown_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIRSCYSGRVSAAFHANSSEPALLFRN
OC43_human_USA_991_19_1999_S_AGT51511_1_1999_01_15_USA_Human_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIRSCYSGRVSAAFHANSSEPALLFRN
HCoV_OC43_Seattle_USA_SC2269_2016_NA_ARA15421_1_2016_USA_Human_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIHSCYSGRVSAAYHANSSEPALLFRN
BJ_124_S_AXX83303_1_2015_05_06_China_Unknown_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIHSCYSGRVSAAYHANSSEPALLFRN
5240_2007_S_AIV41807_1_2007_05_China_Human_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIHSCYSGRVSAAYHANSSEPALLFRN
SHG_4_S_BBM61227_1_2015_10_Japan_Unknown_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHANSSEPALLFRN
MY_U413_12_S_AQN78680_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIHSCYSGRVSAAYHANSSEPALLFRN
TCG_6_S_BBM61377_1_2007_12_Japan_Unknown_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHANSSEPALLFRN
DB2_NA_ABG89288_1_1983_NA_Cattle_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHANSSEPALLFRN
IWT_22_S_BBM61137_1_2016_12_Japan_Unknown_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHANSSEPALLFRN
3184A_2012_S_AIV41849_1_2012_03_China_Human_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIRSCYSGRVSAAFHANSSEPALLFRN
7_16_23_S_AVZ61129_1_2016_07_USA_Cattle_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHANSSEPALLFRN
IWT_3_S_BBM60967_1_2011_06_Japan_Unknown_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHSNSSEPALLFRN
IWT_26_S_BBM61177_1_2017_02_Japan_Unknown_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHANSSEPALLFRN
1783A_10_S_AJC98135_1_2010_01_China_Human_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIRSCYSGRVSAAFHANSSEPALLFRN
BJ_112_S_AXX83297_1_2015_04_22_China_Unknown_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIRSCYSGRVSAAFHANSSEPALLFRN
3269A_2012_S_AIV41843_1_2012_06_China_Human_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIHSCYSGRVSAAYHANSSEPALLFRN
IWT_9_S_BBM60927_1_2012_04_Japan_Unknown_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHANSSEPALLFRN
HCoV_OC43_Seattle_USA_SC0839_2019_NA_QEG03767_1_2019_USA_Human_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIHSCYSGRVSAAYHANSSEPALLFRN
4_17_25_S_AVZ61109_1_2017_04_USA_Cattle_Betacoronavirus_1 EVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHANSSEPALLFRN
***************************:*******:**********:*:****** ** *
TCG_2_S_BBM61287_1_2006_12_Japan_Unknown_Betacoronavirus_1 IKCNYVFNNTLSRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSTKRR
SHG_2_S_BBM61207_1_2014_09_Japan_Unknown_Betacoronavirus_1 IKCNYVFNNTLSRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSTKRR
OC43_human_USA_901_54_1990_S_AGT51690_1_1990_01_23_USA_Human_Betacoronavirus_1 IKCNYVFNNSLTRQLQPINYSFDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRR
10290_2010_S_AIV42005_1_2010_07_China_Human_Betacoronavirus_1 IKCNYVFNNSLTRQLQPINYSFDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRR
UNKNOWN_DQ915164_S_ABI93999_2_NA_USA_Alpaca_Betacoronavirus_1 IKCNYVFNNTLSRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSTKRR
Buffalo_coronavirus_B1_24F_S_ANJ04717_1_2014_10_01_Bangladesh_Buffalo_Betacoronavirus_1 IKCNYVFNNTLSRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSIKRR
HCoV_OC43_Seattle_USA_SC831_2016_NA_APU51916_1_2016_USA_Human_Betacoronavirus_1 IKCNYVFNNSLTRQLQPINYSFDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRR
OC43_human_USA_851_15_1985_S_AGT51412_1_1985_01_08_USA_Human_Betacoronavirus_1 IKCNYVFNNSLTRQLQPINY-FDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRR
5595_2007_S_AIV41975_1_2007_07_China_Human_Betacoronavirus_1 IKCNYVFNNSLTRQLQPINYSFDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRR
IWT_16_S_BBM61117_1_2016_07_Japan_Unknown_Betacoronavirus_1 IKCNYVFNNTLSRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSTKRR
YC_55_S_AXX83351_1_2015_03_12_China_Unknown_Betacoronavirus_1 IKCNYVFNNSLTRQLQPINY-FDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRR
OC43_human_USA_991_19_1999_S_AGT51511_1_1999_01_15_USA_Human_Betacoronavirus_1 IKCNYVFNNSLTRQLQPINYSFDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVEYSKNRR
HCoV_OC43_Seattle_USA_SC2269_2016_NA_ARA15421_1_2016_USA_Human_Betacoronavirus_1 IKCNYVFNNSLTRQLQPINYSFDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRR
BJ_124_S_AXX83303_1_2015_05_06_China_Unknown_Betacoronavirus_1 IKCNYVFNNSLTRQLQPINYSFDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRR
5240_2007_S_AIV41807_1_2007_05_China_Human_Betacoronavirus_1 IKCNYVFNNSLTRQLQPINYSFDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRR
SHG_4_S_BBM61227_1_2015_10_Japan_Unknown_Betacoronavirus_1 IKCNYVFNNTLSRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSTKRR
MY_U413_12_S_AQN78680_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 IKCNYVFNNSLTRQLQPINYSFDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRR
TCG_6_S_BBM61377_1_2007_12_Japan_Unknown_Betacoronavirus_1 IKCNYVFNNTLSRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSTKRR
DB2_NA_ABG89288_1_1983_NA_Cattle_Betacoronavirus_1 IKCNYVFNNTLSRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSTKRR
IWT_22_S_BBM61137_1_2016_12_Japan_Unknown_Betacoronavirus_1 IKCNYVFNNTLSRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSTKRR
3184A_2012_S_AIV41849_1_2012_03_China_Human_Betacoronavirus_1 IKCNYVFNNSLTRQLQPINY-FDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRR
7_16_23_S_AVZ61129_1_2016_07_USA_Cattle_Betacoronavirus_1 IKCNYVFNNTLLRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSTKRR
IWT_3_S_BBM60967_1_2011_06_Japan_Unknown_Betacoronavirus_1 IKCNYVFNSTLSRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSTKRR
IWT_26_S_BBM61177_1_2017_02_Japan_Unknown_Betacoronavirus_1 IKCNYVFNNTLSRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSTKRR
1783A_10_S_AJC98135_1_2010_01_China_Human_Betacoronavirus_1 IKCNYVFNNSLIRQLQPINY-FDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRR
BJ_112_S_AXX83297_1_2015_04_22_China_Unknown_Betacoronavirus_1 IKCNYVFNNSLTRQLQPINY-FDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRR
3269A_2012_S_AIV41843_1_2012_06_China_Human_Betacoronavirus_1 IKCNYVFNNSLTRQLQPINYSFDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRR
IWT_9_S_BBM60927_1_2012_04_Japan_Unknown_Betacoronavirus_1 IKCNYVFNNTLSRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSTKRR
HCoV_OC43_Seattle_USA_SC0839_2019_NA_QEG03767_1_2019_USA_Human_Betacoronavirus_1 IKCNYVFNNSLTRQLQPINYSFDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYFKNRR
4_17_25_S_AVZ61109_1_2017_04_USA_Cattle_Betacoronavirus_1 IKCNYVFNNTLSRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSTKRR
********.:* ******** *********** ***: **************:* :**
TCG_2_S_BBM61287_1_2006_12_Japan_Unknown_Betacoronavirus_1 SRRSITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTID
SHG_2_S_BBM61207_1_2014_09_Japan_Unknown_Betacoronavirus_1 SRRSITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTID
OC43_human_USA_901_54_1990_S_AGT51690_1_1990_01_23_USA_Human_Betacoronavirus_1 SRRALTTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTID
10290_2010_S_AIV42005_1_2010_07_China_Human_Betacoronavirus_1 SRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTID
UNKNOWN_DQ915164_S_ABI93999_2_NA_USA_Alpaca_Betacoronavirus_1 SRRSITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTID
Buffalo_coronavirus_B1_24F_S_ANJ04717_1_2014_10_01_Bangladesh_Buffalo_Betacoronavirus_1 SRRSITTGYRFTNFEPFTVKSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTID
HCoV_OC43_Seattle_USA_SC831_2016_NA_APU51916_1_2016_USA_Human_Betacoronavirus_1 SRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTID
OC43_human_USA_851_15_1985_S_AGT51412_1_1985_01_08_USA_Human_Betacoronavirus_1 SRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTID
5595_2007_S_AIV41975_1_2007_07_China_Human_Betacoronavirus_1 SRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTID
IWT_16_S_BBM61117_1_2016_07_Japan_Unknown_Betacoronavirus_1 SRRSITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTID
YC_55_S_AXX83351_1_2015_03_12_China_Unknown_Betacoronavirus_1 SRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSDFTIGNMEEFIQTSSPKVTID
OC43_human_USA_991_19_1999_S_AGT51511_1_1999_01_15_USA_Human_Betacoronavirus_1 SRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTID
HCoV_OC43_Seattle_USA_SC2269_2016_NA_ARA15421_1_2016_USA_Human_Betacoronavirus_1 SRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTID
BJ_124_S_AXX83303_1_2015_05_06_China_Unknown_Betacoronavirus_1 SRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTID
5240_2007_S_AIV41807_1_2007_05_China_Human_Betacoronavirus_1 SRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTID
SHG_4_S_BBM61227_1_2015_10_Japan_Unknown_Betacoronavirus_1 SRRSITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTID
MY_U413_12_S_AQN78680_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 SRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTID
TCG_6_S_BBM61377_1_2007_12_Japan_Unknown_Betacoronavirus_1 SRRSITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTID
DB2_NA_ABG89288_1_1983_NA_Cattle_Betacoronavirus_1 SRRSITTGYRFTNFEPFTVNSVNDSLQPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTID
IWT_22_S_BBM61137_1_2016_12_Japan_Unknown_Betacoronavirus_1 SRRSITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTID
3184A_2012_S_AIV41849_1_2012_03_China_Human_Betacoronavirus_1 SRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSDFTIGNMEEFIQTSSPKVTID
7_16_23_S_AVZ61129_1_2016_07_USA_Cattle_Betacoronavirus_1 SRRSITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTID
IWT_3_S_BBM60967_1_2011_06_Japan_Unknown_Betacoronavirus_1 SRRSITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTID
IWT_26_S_BBM61177_1_2017_02_Japan_Unknown_Betacoronavirus_1 SRRSITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTID
1783A_10_S_AJC98135_1_2010_01_China_Human_Betacoronavirus_1 SRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTID
BJ_112_S_AXX83297_1_2015_04_22_China_Unknown_Betacoronavirus_1 SRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSDFTIGNMEEFIQTSSPKVTID
3269A_2012_S_AIV41843_1_2012_06_China_Human_Betacoronavirus_1 SRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTID
IWT_9_S_BBM60927_1_2012_04_Japan_Unknown_Betacoronavirus_1 SRRSITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTID
HCoV_OC43_Seattle_USA_SC0839_2019_NA_QEG03767_1_2019_USA_Human_Betacoronavirus_1 SRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTID
4_17_25_S_AVZ61109_1_2017_04_USA_Cattle_Betacoronavirus_1 SRRSITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTID
***::**************:******:************:********************
TCG_2_S_BBM61287_1_2006_12_Japan_Unknown_Betacoronavirus_1 CFAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
SHG_2_S_BBM61207_1_2014_09_Japan_Unknown_Betacoronavirus_1 CSAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
OC43_human_USA_901_54_1990_S_AGT51690_1_1990_01_23_USA_Human_Betacoronavirus_1 CAAFVCGDYAACKLQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
10290_2010_S_AIV42005_1_2010_07_China_Human_Betacoronavirus_1 CAAFVCGDYAACKLQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
UNKNOWN_DQ915164_S_ABI93999_2_NA_USA_Alpaca_Betacoronavirus_1 CSAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
Buffalo_coronavirus_B1_24F_S_ANJ04717_1_2014_10_01_Bangladesh_Buffalo_Betacoronavirus_1 CSAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
HCoV_OC43_Seattle_USA_SC831_2016_NA_APU51916_1_2016_USA_Human_Betacoronavirus_1 CAAFVCGDYAACKLQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
OC43_human_USA_851_15_1985_S_AGT51412_1_1985_01_08_USA_Human_Betacoronavirus_1 CAAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
5595_2007_S_AIV41975_1_2007_07_China_Human_Betacoronavirus_1 CAAFVCGDYAACKLQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
IWT_16_S_BBM61117_1_2016_07_Japan_Unknown_Betacoronavirus_1 CSAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
YC_55_S_AXX83351_1_2015_03_12_China_Unknown_Betacoronavirus_1 CAAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
OC43_human_USA_991_19_1999_S_AGT51511_1_1999_01_15_USA_Human_Betacoronavirus_1 CAAFVCGDYAACKLQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
HCoV_OC43_Seattle_USA_SC2269_2016_NA_ARA15421_1_2016_USA_Human_Betacoronavirus_1 CAAFVCGDYAACKLQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
BJ_124_S_AXX83303_1_2015_05_06_China_Unknown_Betacoronavirus_1 CAAFVCGDYAACKLQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
5240_2007_S_AIV41807_1_2007_05_China_Human_Betacoronavirus_1 CAAFVCGDYAACKLQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
SHG_4_S_BBM61227_1_2015_10_Japan_Unknown_Betacoronavirus_1 CSAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
MY_U413_12_S_AQN78680_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 CAAFVCGDYAACKLQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
TCG_6_S_BBM61377_1_2007_12_Japan_Unknown_Betacoronavirus_1 CSAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
DB2_NA_ABG89288_1_1983_NA_Cattle_Betacoronavirus_1 CSAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
IWT_22_S_BBM61137_1_2016_12_Japan_Unknown_Betacoronavirus_1 CSAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
3184A_2012_S_AIV41849_1_2012_03_China_Human_Betacoronavirus_1 CAAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
7_16_23_S_AVZ61129_1_2016_07_USA_Cattle_Betacoronavirus_1 CSAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
IWT_3_S_BBM60967_1_2011_06_Japan_Unknown_Betacoronavirus_1 CSAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
IWT_26_S_BBM61177_1_2017_02_Japan_Unknown_Betacoronavirus_1 CSAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTFSTKLKD
1783A_10_S_AJC98135_1_2010_01_China_Human_Betacoronavirus_1 CAAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
BJ_112_S_AXX83297_1_2015_04_22_China_Unknown_Betacoronavirus_1 CAAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
3269A_2012_S_AIV41843_1_2012_06_China_Human_Betacoronavirus_1 CAAFVCGDYAACKLQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
IWT_9_S_BBM60927_1_2012_04_Japan_Unknown_Betacoronavirus_1 CSAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
HCoV_OC43_Seattle_USA_SC0839_2019_NA_QEG03767_1_2019_USA_Human_Betacoronavirus_1 CAAFVCGDYAACKLQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
4_17_25_S_AVZ61109_1_2017_04_USA_Cattle_Betacoronavirus_1 CSAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKD
* *********** ***************************************:******
TCG_2_S_BBM61287_1_2006_12_Japan_Unknown_Betacoronavirus_1 GVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIR
SHG_2_S_BBM61207_1_2014_09_Japan_Unknown_Betacoronavirus_1 GVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIR
OC43_human_USA_901_54_1990_S_AGT51690_1_1990_01_23_USA_Human_Betacoronavirus_1 GVNFNVDDINFSPVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVEAYNNCTGGAEIR
10290_2010_S_AIV42005_1_2010_07_China_Human_Betacoronavirus_1 GVNFNVDDINFSPVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVEAYNNCTGGAEIR
UNKNOWN_DQ915164_S_ABI93999_2_NA_USA_Alpaca_Betacoronavirus_1 GVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIR
Buffalo_coronavirus_B1_24F_S_ANJ04717_1_2014_10_01_Bangladesh_Buffalo_Betacoronavirus_1 GVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIR
HCoV_OC43_Seattle_USA_SC831_2016_NA_APU51916_1_2016_USA_Human_Betacoronavirus_1 GVNFNVDDINFSPVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVEAYNNCTGGAEIR
OC43_human_USA_851_15_1985_S_AGT51412_1_1985_01_08_USA_Human_Betacoronavirus_1 GVNFNVDDINFSPVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVEAYNNCTGGAEIR
5595_2007_S_AIV41975_1_2007_07_China_Human_Betacoronavirus_1 GVNFNVDDINFSPVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVEAYNNCTGGAEIR
IWT_16_S_BBM61117_1_2016_07_Japan_Unknown_Betacoronavirus_1 GVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIR
YC_55_S_AXX83351_1_2015_03_12_China_Unknown_Betacoronavirus_1 GVNFNVDDINFSSVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVAAYNNCTGGAEIR
OC43_human_USA_991_19_1999_S_AGT51511_1_1999_01_15_USA_Human_Betacoronavirus_1 GVNFNVDDINFSPVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVEAYNNCTGGAEIR
HCoV_OC43_Seattle_USA_SC2269_2016_NA_ARA15421_1_2016_USA_Human_Betacoronavirus_1 GVNFNVDDINFSPVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVEAYNNCTGGAEIR
BJ_124_S_AXX83303_1_2015_05_06_China_Unknown_Betacoronavirus_1 GVNFNVDDINFSPVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVEAYNNCTGGAEIR
5240_2007_S_AIV41807_1_2007_05_China_Human_Betacoronavirus_1 GVNFNVDDINFSPVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVEAYNNCTGGAEIR
SHG_4_S_BBM61227_1_2015_10_Japan_Unknown_Betacoronavirus_1 GVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIR
MY_U413_12_S_AQN78680_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 GVNFNVDDINFSPVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVEAYNNCTGGAEIR
TCG_6_S_BBM61377_1_2007_12_Japan_Unknown_Betacoronavirus_1 GVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIR
DB2_NA_ABG89288_1_1983_NA_Cattle_Betacoronavirus_1 GVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIR
IWT_22_S_BBM61137_1_2016_12_Japan_Unknown_Betacoronavirus_1 GVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIR
3184A_2012_S_AIV41849_1_2012_03_China_Human_Betacoronavirus_1 GVNFNVDDINFSSVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVAAYNNCTGGAEIR
7_16_23_S_AVZ61129_1_2016_07_USA_Cattle_Betacoronavirus_1 GVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIR
IWT_3_S_BBM60967_1_2011_06_Japan_Unknown_Betacoronavirus_1 GVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIR
IWT_26_S_BBM61177_1_2017_02_Japan_Unknown_Betacoronavirus_1 GVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIR
1783A_10_S_AJC98135_1_2010_01_China_Human_Betacoronavirus_1 GVNFNVDDINFSSVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVAAYNNCTGGAEIR
BJ_112_S_AXX83297_1_2015_04_22_China_Unknown_Betacoronavirus_1 GVNFNVDDINFSSVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVAAYNNCTGGAEIR
3269A_2012_S_AIV41843_1_2012_06_China_Human_Betacoronavirus_1 GVNFNVDDINFSPVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVEAYNNCTGGAEIR
IWT_9_S_BBM60927_1_2012_04_Japan_Unknown_Betacoronavirus_1 GVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIR
HCoV_OC43_Seattle_USA_SC0839_2019_NA_QEG03767_1_2019_USA_Human_Betacoronavirus_1 GVNFNVDDINFAPVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVEAYNNCTGGAEIR
4_17_25_S_AVZ61109_1_2017_04_USA_Cattle_Betacoronavirus_1 GVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIR
***********:.*******:*.*.***********.********** ************
TCG_2_S_BBM61287_1_2006_12_Japan_Unknown_Betacoronavirus_1 DLICVQSYNGIKVLPPLLSENQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGV
SHG_2_S_BBM61207_1_2014_09_Japan_Unknown_Betacoronavirus_1 DLICVQSYNGIKVLPPLLSENQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGV
OC43_human_USA_901_54_1990_S_AGT51690_1_1990_01_23_USA_Human_Betacoronavirus_1 DLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGV
10290_2010_S_AIV42005_1_2010_07_China_Human_Betacoronavirus_1 DLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPLYINVQYRINGLGV
UNKNOWN_DQ915164_S_ABI93999_2_NA_USA_Alpaca_Betacoronavirus_1 DLICVQSYNGIKVLPPLLSDNQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGV
Buffalo_coronavirus_B1_24F_S_ANJ04717_1_2014_10_01_Bangladesh_Buffalo_Betacoronavirus_1 DLICVQSYNGIKVLPPLLSENQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGV
HCoV_OC43_Seattle_USA_SC831_2016_NA_APU51916_1_2016_USA_Human_Betacoronavirus_1 DLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGV
OC43_human_USA_851_15_1985_S_AGT51412_1_1985_01_08_USA_Human_Betacoronavirus_1 DLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGV
5595_2007_S_AIV41975_1_2007_07_China_Human_Betacoronavirus_1 DLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGV
IWT_16_S_BBM61117_1_2016_07_Japan_Unknown_Betacoronavirus_1 DLICVQSYNGIKVLPPLLSDNQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGV
YC_55_S_AXX83351_1_2015_03_12_China_Unknown_Betacoronavirus_1 DLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGV
OC43_human_USA_991_19_1999_S_AGT51511_1_1999_01_15_USA_Human_Betacoronavirus_1 DLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGV
HCoV_OC43_Seattle_USA_SC2269_2016_NA_ARA15421_1_2016_USA_Human_Betacoronavirus_1 DLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGV
BJ_124_S_AXX83303_1_2015_05_06_China_Unknown_Betacoronavirus_1 DLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGV
5240_2007_S_AIV41807_1_2007_05_China_Human_Betacoronavirus_1 DLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGV
SHG_4_S_BBM61227_1_2015_10_Japan_Unknown_Betacoronavirus_1 DLICVQSYNGIKVLPPLLSENQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGV
MY_U413_12_S_AQN78680_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 DLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGV
TCG_6_S_BBM61377_1_2007_12_Japan_Unknown_Betacoronavirus_1 DLICVQSYNGIKVLPPLLSQNQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGV
DB2_NA_ABG89288_1_1983_NA_Cattle_Betacoronavirus_1 DLICVQSYNGIKVLPPLLSENQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGV
IWT_22_S_BBM61137_1_2016_12_Japan_Unknown_Betacoronavirus_1 DLICVQSYNGIKVLPPLLSENQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGV
3184A_2012_S_AIV41849_1_2012_03_China_Human_Betacoronavirus_1 DLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGV
7_16_23_S_AVZ61129_1_2016_07_USA_Cattle_Betacoronavirus_1 DLICVQSYNGIKVLPPLLSENQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGV
IWT_3_S_BBM60967_1_2011_06_Japan_Unknown_Betacoronavirus_1 DLICVQSYNGIKVLPPLLSENQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGV
IWT_26_S_BBM61177_1_2017_02_Japan_Unknown_Betacoronavirus_1 DLICVQSYNGIKVLPPLLSENQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGV
1783A_10_S_AJC98135_1_2010_01_China_Human_Betacoronavirus_1 DLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGV
BJ_112_S_AXX83297_1_2015_04_22_China_Unknown_Betacoronavirus_1 DLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGV
3269A_2012_S_AIV41843_1_2012_06_China_Human_Betacoronavirus_1 DLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGV
IWT_9_S_BBM60927_1_2012_04_Japan_Unknown_Betacoronavirus_1 DLICVQSYNGIKVLPPLLSENQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGV
HCoV_OC43_Seattle_USA_SC0839_2019_NA_QEG03767_1_2019_USA_Human_Betacoronavirus_1 DLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGV
4_17_25_S_AVZ61109_1_2017_04_USA_Cattle_Betacoronavirus_1 DLICVQSYNGIKVLPPLLSENQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGV
********:**********:*******************:******:*:********:**
TCG_2_S_BBM61287_1_2006_12_Japan_Unknown_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALGAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFG
SHG_2_S_BBM61207_1_2014_09_Japan_Unknown_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALGAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFG
OC43_human_USA_901_54_1990_S_AGT51690_1_1990_01_23_USA_Human_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALYAIQQGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFG
10290_2010_S_AIV42005_1_2010_07_China_Human_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALHAIQQGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFG
UNKNOWN_DQ915164_S_ABI93999_2_NA_USA_Alpaca_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALGAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFG
Buffalo_coronavirus_B1_24F_S_ANJ04717_1_2014_10_01_Bangladesh_Buffalo_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALTAIQNGFDATNSALVKIQSVVNANAEALNNLLQQLSNRFG
HCoV_OC43_Seattle_USA_SC831_2016_NA_APU51916_1_2016_USA_Human_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALHAIQQGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFG
OC43_human_USA_851_15_1985_S_AGT51412_1_1985_01_08_USA_Human_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALDAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFG
5595_2007_S_AIV41975_1_2007_07_China_Human_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALHAIQQGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFG
IWT_16_S_BBM61117_1_2016_07_Japan_Unknown_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALGAIQEGFDATNSALVKIQSVVNANADALNNLLQQLSNRFG
YC_55_S_AXX83351_1_2015_03_12_China_Unknown_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALDAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFG
OC43_human_USA_991_19_1999_S_AGT51511_1_1999_01_15_USA_Human_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALYAIQQGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFG
HCoV_OC43_Seattle_USA_SC2269_2016_NA_ARA15421_1_2016_USA_Human_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALHAIQQGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFG
BJ_124_S_AXX83303_1_2015_05_06_China_Unknown_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALHAIQQGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFG
5240_2007_S_AIV41807_1_2007_05_China_Human_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALHAIQQGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFG
SHG_4_S_BBM61227_1_2015_10_Japan_Unknown_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALGAIQEGFDATNFALVKIQSVVNANADALNNLLQQLSNRFG
MY_U413_12_S_AQN78680_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALHAIQQGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFG
TCG_6_S_BBM61377_1_2007_12_Japan_Unknown_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALGAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFG
DB2_NA_ABG89288_1_1983_NA_Cattle_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALGAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFG
IWT_22_S_BBM61137_1_2016_12_Japan_Unknown_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALGAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFG
3184A_2012_S_AIV41849_1_2012_03_China_Human_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALDAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFG
7_16_23_S_AVZ61129_1_2016_07_USA_Cattle_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALGAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFG
IWT_3_S_BBM60967_1_2011_06_Japan_Unknown_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALGAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFG
IWT_26_S_BBM61177_1_2017_02_Japan_Unknown_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALGAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFG
1783A_10_S_AJC98135_1_2010_01_China_Human_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALDAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFG
BJ_112_S_AXX83297_1_2015_04_22_China_Unknown_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALDAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFG
3269A_2012_S_AIV41843_1_2012_06_China_Human_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALHAIQQGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFG
IWT_9_S_BBM60927_1_2012_04_Japan_Unknown_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALGAIQEGFDATNFALVKIQSVVNANADALNNLLQQLSNRFG
HCoV_OC43_Seattle_USA_SC0839_2019_NA_QEG03767_1_2019_USA_Human_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALHAIQQGFDATNSALVKIQAVVNANSEALNNLLQQLSNRFG
4_17_25_S_AVZ61109_1_2017_04_USA_Cattle_Betacoronavirus_1 TMDVLSQNQKLIANAFNNALGAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFG
******************** ***:****** ******:*****::**************
TCG_2_S_BBM61287_1_2006_12_Japan_Unknown_Betacoronavirus_1 AISSSLQEILSRLDALEAQAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
SHG_2_S_BBM61207_1_2014_09_Japan_Unknown_Betacoronavirus_1 AISSSLQEILSRLDALEAQAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
OC43_human_USA_901_54_1990_S_AGT51690_1_1990_01_23_USA_Human_Betacoronavirus_1 AISASLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
10290_2010_S_AIV42005_1_2010_07_China_Human_Betacoronavirus_1 AISASLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
UNKNOWN_DQ915164_S_ABI93999_2_NA_USA_Alpaca_Betacoronavirus_1 AISSSLQEILSRLDALDAQAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
Buffalo_coronavirus_B1_24F_S_ANJ04717_1_2014_10_01_Bangladesh_Buffalo_Betacoronavirus_1 AISSSLQEILSRLDALEAQAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
HCoV_OC43_Seattle_USA_SC831_2016_NA_APU51916_1_2016_USA_Human_Betacoronavirus_1 AISASLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
OC43_human_USA_851_15_1985_S_AGT51412_1_1985_01_08_USA_Human_Betacoronavirus_1 AISSSLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
5595_2007_S_AIV41975_1_2007_07_China_Human_Betacoronavirus_1 AISASLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
IWT_16_S_BBM61117_1_2016_07_Japan_Unknown_Betacoronavirus_1 AISSSLQEILSRLDALEAQAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
YC_55_S_AXX83351_1_2015_03_12_China_Unknown_Betacoronavirus_1 AISSSLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
OC43_human_USA_991_19_1999_S_AGT51511_1_1999_01_15_USA_Human_Betacoronavirus_1 AISASLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
HCoV_OC43_Seattle_USA_SC2269_2016_NA_ARA15421_1_2016_USA_Human_Betacoronavirus_1 AISASLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
BJ_124_S_AXX83303_1_2015_05_06_China_Unknown_Betacoronavirus_1 AISASLQEIISRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
5240_2007_S_AIV41807_1_2007_05_China_Human_Betacoronavirus_1 AISASLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
SHG_4_S_BBM61227_1_2015_10_Japan_Unknown_Betacoronavirus_1 AISSSLQEILSRLDALEAQAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
MY_U413_12_S_AQN78680_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 AISASLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
TCG_6_S_BBM61377_1_2007_12_Japan_Unknown_Betacoronavirus_1 AISSSLQEILSRLDALEAQAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
DB2_NA_ABG89288_1_1983_NA_Cattle_Betacoronavirus_1 AISSSLQEILSRLDALEAQAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
IWT_22_S_BBM61137_1_2016_12_Japan_Unknown_Betacoronavirus_1 AISSSLQEILSRLDALEAQAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
3184A_2012_S_AIV41849_1_2012_03_China_Human_Betacoronavirus_1 AISSSLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
7_16_23_S_AVZ61129_1_2016_07_USA_Cattle_Betacoronavirus_1 AISSSLQEILSRLDALEAQAQIDRLINGRLTALNAYVSQQLRDSTLVKFSAAQAMEKVNE
IWT_3_S_BBM60967_1_2011_06_Japan_Unknown_Betacoronavirus_1 AISSSLQEILSRLDALEAQAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
IWT_26_S_BBM61177_1_2017_02_Japan_Unknown_Betacoronavirus_1 AISSSLQEILSRLDALEAQAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
1783A_10_S_AJC98135_1_2010_01_China_Human_Betacoronavirus_1 AISSSLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
BJ_112_S_AXX83297_1_2015_04_22_China_Unknown_Betacoronavirus_1 AISSSLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
3269A_2012_S_AIV41843_1_2012_06_China_Human_Betacoronavirus_1 AISASLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
IWT_9_S_BBM60927_1_2012_04_Japan_Unknown_Betacoronavirus_1 AISSSLQEILSRLDALEAQAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
HCoV_OC43_Seattle_USA_SC0839_2019_NA_QEG03767_1_2019_USA_Human_Betacoronavirus_1 AISASLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
4_17_25_S_AVZ61109_1_2017_04_USA_Cattle_Betacoronavirus_1 AISSSLQEILSRLDALEAQAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNE
***:*****:******:*:********************** ******************
TCG_2_S_BBM61287_1_2006_12_Japan_Unknown_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPFGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAP
SHG_2_S_BBM61207_1_2014_09_Japan_Unknown_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAP
OC43_human_USA_901_54_1990_S_AGT51690_1_1990_01_23_USA_Human_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFNYVPTKYVTAKVSPGLCIAGNRGIAP
10290_2010_S_AIV42005_1_2010_07_China_Human_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFNYVPTKYVTAKVSPGLCIAGNRGIAP
UNKNOWN_DQ915164_S_ABI93999_2_NA_USA_Alpaca_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGGRGIAP
Buffalo_coronavirus_B1_24F_S_ANJ04717_1_2014_10_01_Bangladesh_Buffalo_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAP
HCoV_OC43_Seattle_USA_SC831_2016_NA_APU51916_1_2016_USA_Human_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFNYVPTKYVTAKVSPGLCIAGNRGIAP
OC43_human_USA_851_15_1985_S_AGT51412_1_1985_01_08_USA_Human_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAP
5595_2007_S_AIV41975_1_2007_07_China_Human_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFNYVPTKYVTAKVSPGLCIAGNRGIAP
IWT_16_S_BBM61117_1_2016_07_Japan_Unknown_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGARGIAP
YC_55_S_AXX83351_1_2015_03_12_China_Unknown_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAP
OC43_human_USA_991_19_1999_S_AGT51511_1_1999_01_15_USA_Human_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFNYVPTKYVTAKVSPGLCIAGNRGIAP
HCoV_OC43_Seattle_USA_SC2269_2016_NA_ARA15421_1_2016_USA_Human_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFNYVPTKYVTAKVSPGLCIAGNRGIAP
BJ_124_S_AXX83303_1_2015_05_06_China_Unknown_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFNYVPTKYVTAKVSPGLCIAGNRGIAP
5240_2007_S_AIV41807_1_2007_05_China_Human_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFNYVPTKYVTAKVSPGLCIAGNRGIAP
SHG_4_S_BBM61227_1_2015_10_Japan_Unknown_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAP
MY_U413_12_S_AQN78680_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFNYVPTKYVTAKVSPGLCIAGNRGIAP
TCG_6_S_BBM61377_1_2007_12_Japan_Unknown_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGGRGIAP
DB2_NA_ABG89288_1_1983_NA_Cattle_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAP
IWT_22_S_BBM61137_1_2016_12_Japan_Unknown_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAP
3184A_2012_S_AIV41849_1_2012_03_China_Human_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAP
7_16_23_S_AVZ61129_1_2016_07_USA_Cattle_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAP
IWT_3_S_BBM60967_1_2011_06_Japan_Unknown_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGGRGIAP
IWT_26_S_BBM61177_1_2017_02_Japan_Unknown_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAP
1783A_10_S_AJC98135_1_2010_01_China_Human_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAP
BJ_112_S_AXX83297_1_2015_04_22_China_Unknown_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAP
3269A_2012_S_AIV41843_1_2012_06_China_Human_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFNYVPTKYVTAKVSPGLCIAGNRGIAP
IWT_9_S_BBM60927_1_2012_04_Japan_Unknown_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAP
HCoV_OC43_Seattle_USA_SC0839_2019_NA_QEG03767_1_2019_USA_Human_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFNYVPTKYVTAKVSPGLCIAGNRGIAP
4_17_25_S_AVZ61109_1_2017_04_USA_Cattle_Betacoronavirus_1 CVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAP
**************************:*******.******************* *****
TCG_2_S_BBM61287_1_2006_12_Japan_Unknown_Betacoronavirus_1 KSGYFVNVNNTWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKE
SHG_2_S_BBM61207_1_2014_09_Japan_Unknown_Betacoronavirus_1 KSGYFVNVNNTWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKE
OC43_human_USA_901_54_1990_S_AGT51690_1_1990_01_23_USA_Human_Betacoronavirus_1 KSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFKE
10290_2010_S_AIV42005_1_2010_07_China_Human_Betacoronavirus_1 KSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFKE
UNKNOWN_DQ915164_S_ABI93999_2_NA_USA_Alpaca_Betacoronavirus_1 KSGYFVNVNNTWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKE
Buffalo_coronavirus_B1_24F_S_ANJ04717_1_2014_10_01_Bangladesh_Buffalo_Betacoronavirus_1 KSGYFLNVNNTWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKE
HCoV_OC43_Seattle_USA_SC831_2016_NA_APU51916_1_2016_USA_Human_Betacoronavirus_1 KSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFKE
OC43_human_USA_851_15_1985_S_AGT51412_1_1985_01_08_USA_Human_Betacoronavirus_1 KSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSTPNLPDFRE
5595_2007_S_AIV41975_1_2007_07_China_Human_Betacoronavirus_1 KSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFKE
IWT_16_S_BBM61117_1_2016_07_Japan_Unknown_Betacoronavirus_1 KSGYFVNVNNTWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKE
YC_55_S_AXX83351_1_2015_03_12_China_Unknown_Betacoronavirus_1 KSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFRE
OC43_human_USA_991_19_1999_S_AGT51511_1_1999_01_15_USA_Human_Betacoronavirus_1 KSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFKE
HCoV_OC43_Seattle_USA_SC2269_2016_NA_ARA15421_1_2016_USA_Human_Betacoronavirus_1 KSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFKE
BJ_124_S_AXX83303_1_2015_05_06_China_Unknown_Betacoronavirus_1 KSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFKE
5240_2007_S_AIV41807_1_2007_05_China_Human_Betacoronavirus_1 KSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFKE
SHG_4_S_BBM61227_1_2015_10_Japan_Unknown_Betacoronavirus_1 KSGYFVNVNNTWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKE
MY_U413_12_S_AQN78680_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 KSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFKE
TCG_6_S_BBM61377_1_2007_12_Japan_Unknown_Betacoronavirus_1 KSGYFVNVNNSWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKE
DB2_NA_ABG89288_1_1983_NA_Cattle_Betacoronavirus_1 KSGYFVNVNNTWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKE
IWT_22_S_BBM61137_1_2016_12_Japan_Unknown_Betacoronavirus_1 KSGYFVNVNNTWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKE
3184A_2012_S_AIV41849_1_2012_03_China_Human_Betacoronavirus_1 KSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFRE
7_16_23_S_AVZ61129_1_2016_07_USA_Cattle_Betacoronavirus_1 KSGYFVNVNNTWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKE
IWT_3_S_BBM60967_1_2011_06_Japan_Unknown_Betacoronavirus_1 KSGYFVNVNNSWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKE
IWT_26_S_BBM61177_1_2017_02_Japan_Unknown_Betacoronavirus_1 KSGYFVNVNNTWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKE
1783A_10_S_AJC98135_1_2010_01_China_Human_Betacoronavirus_1 KSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSTPNLPDFRE
BJ_112_S_AXX83297_1_2015_04_22_China_Unknown_Betacoronavirus_1 KSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFRE
3269A_2012_S_AIV41843_1_2012_06_China_Human_Betacoronavirus_1 KSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFKE
IWT_9_S_BBM60927_1_2012_04_Japan_Unknown_Betacoronavirus_1 KSGYFVNVNNTWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKE
HCoV_OC43_Seattle_USA_SC0839_2019_NA_QEG03767_1_2019_USA_Human_Betacoronavirus_1 KSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFKE
4_17_25_S_AVZ61109_1_2017_04_USA_Cattle_Betacoronavirus_1 KSGYFVNVNNTWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKE
*****:****:**:************ ***************** **** * ******:*
TCG_2_S_BBM61287_1_2006_12_Japan_Unknown_Betacoronavirus_1 ELDQWFKNQTSVAPDLSLDYINVTFLDLQDEMNRLQEAIKVLNQSYINLKDIGTYEYYVK
SHG_2_S_BBM61207_1_2014_09_Japan_Unknown_Betacoronavirus_1 ELDQWFKNQTSVAPDLSLDYINVTFLDLQYEMNRLQEAIKVLNQSYINLKDIGTYEYYVK
OC43_human_USA_901_54_1990_S_AGT51690_1_1990_01_23_USA_Human_Betacoronavirus_1 ELDQWFKNQTSVAPDLSLDYINVTFLDLQVEMNRLQEAIKVLNHSYINLKDIGTYEYYVK
10290_2010_S_AIV42005_1_2010_07_China_Human_Betacoronavirus_1 ELDQWFKNQTSVAPDLSLDYINVTFLDLQVEMNRLQEAIKVLNHSYINLKDIGTYEYYVK
UNKNOWN_DQ915164_S_ABI93999_2_NA_USA_Alpaca_Betacoronavirus_1 ELDQWFKNQTSVAPDLSLDYINVTFLDLQDEMNRLQEAIKVLNQSYINLKDIGTYEYYVK
Buffalo_coronavirus_B1_24F_S_ANJ04717_1_2014_10_01_Bangladesh_Buffalo_Betacoronavirus_1 ELDQWFKNQTSVAPDLSLDYINVTFLDLQDEMNRLQEAIKVLNQSYINLKDIGTYEYYVK
HCoV_OC43_Seattle_USA_SC831_2016_NA_APU51916_1_2016_USA_Human_Betacoronavirus_1 ELDQWFKNQTSVAPDLSLDYINVTFLDLQVEMNRLQEAIKVLNHSYINLKDIGTYEYYVK
OC43_human_USA_851_15_1985_S_AGT51412_1_1985_01_08_USA_Human_Betacoronavirus_1 ELDQWFKNQTSVAPDLSLDYINVTFLDLQVEMNRLQEAIKVLNQSYINLKYIGTYEYYVK
5595_2007_S_AIV41975_1_2007_07_China_Human_Betacoronavirus_1 ELDQWFKNQTSVAPDLSLDYINVTFLDLQVEMNRLQEAIKVLNHSYINLKDIGTYEYYVK
IWT_16_S_BBM61117_1_2016_07_Japan_Unknown_Betacoronavirus_1 ELDQWFKNQTSVAPDLSLDYINVTFLDLQDEMNRLQEAIKVLNQSYINLKDIGTYEYYVK
YC_55_S_AXX83351_1_2015_03_12_China_Unknown_Betacoronavirus_1 ELDQWFKNQTSVAPDLSLDYINVTFLDLQVEMNRLQEAIKVLNQSYINLKDIGTYEYYVK
OC43_human_USA_991_19_1999_S_AGT51511_1_1999_01_15_USA_Human_Betacoronavirus_1 ELDQWFKNQTSVAPDLSLDYINVTFLDLQVEMNRLQEAIKVLNHSYINLKDIGTYEYYVK
HCoV_OC43_Seattle_USA_SC2269_2016_NA_ARA15421_1_2016_USA_Human_Betacoronavirus_1 ELDQWFKNQTSVALDLSLDYINVTFLDLQVEMNRLQEAIKVLNHSYINLKDIGTYEYYVK
BJ_124_S_AXX83303_1_2015_05_06_China_Unknown_Betacoronavirus_1 ELDQWFKNQTSVAPDLSLDYINVTFLDLQVEMNRLQEAIKVLNHSYINLKDIGTYEYYVK
5240_2007_S_AIV41807_1_2007_05_China_Human_Betacoronavirus_1 ELDQWFKNQTSVAPDLSLDYINVTFLDLQVEMNRLQEAIKVLNHSYINLKDIGTYEYYVK
SHG_4_S_BBM61227_1_2015_10_Japan_Unknown_Betacoronavirus_1 ELDQWFKNQTSVAPDLSLDYINVTFLDLQDEMNRLQEAIKVLNQSYINLKDIGTYEYYVK
MY_U413_12_S_AQN78680_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 ELDQWFKNQTSVAPLLSLDYINVTFLDLQVEMNRLQEAIKVLNHSYINLKDIGTYEYYVK
TCG_6_S_BBM61377_1_2007_12_Japan_Unknown_Betacoronavirus_1 ELDQWFKNQTSVAPDLSLDYINVTFLDLQDEMNRLQEAIKVLNQSYINLKDIGTYEYYVK
DB2_NA_ABG89288_1_1983_NA_Cattle_Betacoronavirus_1 ELDQWFKNQTSVAPHLSLDYINVTFLDLQDEMNRLQEAIKVLNQSYINLKDIGTYEYYVK
IWT_22_S_BBM61137_1_2016_12_Japan_Unknown_Betacoronavirus_1 ELDQWFKNQTSVAPDLSLDYINVTFLDLQDEMNRLQEAIKVLNQSYINLKDIGTYEYYVK
3184A_2012_S_AIV41849_1_2012_03_China_Human_Betacoronavirus_1 ELDQWFKNQTSVAPDLSLDYINVTFLNLQFEMNRLQEAIKVLNQSYINLKDIGTYEYYVK
7_16_23_S_AVZ61129_1_2016_07_USA_Cattle_Betacoronavirus_1 ELDQWFKNQTSVAPDLSLDYINVTFLDLQDEMNRLQEAIKVLNQSYINLKDIGTYEYYVK
IWT_3_S_BBM60967_1_2011_06_Japan_Unknown_Betacoronavirus_1 ELDQWFKNQTSVAPDLSLDYINVTFLDLQDEMNRLQEAIKVLNQSYINLKDIGTYEYYVK
IWT_26_S_BBM61177_1_2017_02_Japan_Unknown_Betacoronavirus_1 ELDQWFKNQTSVAPDLSLDYINVTFLDLQDEMNRLQEAIKVLNQSYINLKDIGTYEYYVK
1783A_10_S_AJC98135_1_2010_01_China_Human_Betacoronavirus_1 ELDQWFKNQTSVAPDLSLDYINVTFLDLQVEMNRLQEAIKVLNQSYINLKDIGTYEYYVK
BJ_112_S_AXX83297_1_2015_04_22_China_Unknown_Betacoronavirus_1 ELDQWFKNQTSVAPDLSLDYINVTFLDLQVEMNRLQEAIKVLNQSYINLKDIGTYEYYVK
3269A_2012_S_AIV41843_1_2012_06_China_Human_Betacoronavirus_1 ELDQWFKNQTSVAPHLSLDYINVTFLDLQVEMNRLQEAIKVLNHSYINLKDIGTYEYYVK
IWT_9_S_BBM60927_1_2012_04_Japan_Unknown_Betacoronavirus_1 ELDQWFKNQTSVAPDLSLDYINVTFLDLQDEMNRLQEAIKVLNQSYINLKDIGTYEYYVK
HCoV_OC43_Seattle_USA_SC0839_2019_NA_QEG03767_1_2019_USA_Human_Betacoronavirus_1 ELDQWFKNQTSVAPDLSLDYINVTFLDLQVEMNRLQEAIKVLNHSYINLKDIGTYEYYVK
4_17_25_S_AVZ61109_1_2017_04_USA_Cattle_Betacoronavirus_1 ELDQWFKNQTSVAPDLSLDYINVTFLDLQDEMNRLQEAIKVLNQSYINLKDIGTYEYYVK
************* ***********:** *************:****** *********
TCG_2_S_BBM61287_1_2006_12_Japan_Unknown_Betacoronavirus_1 WPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHED
SHG_2_S_BBM61207_1_2014_09_Japan_Unknown_Betacoronavirus_1 WPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHED
OC43_human_USA_901_54_1990_S_AGT51690_1_1990_01_23_USA_Human_Betacoronavirus_1 WPWYVWLLICLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD
10290_2010_S_AIV42005_1_2010_07_China_Human_Betacoronavirus_1 WPWYVWLLICLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD
UNKNOWN_DQ915164_S_ABI93999_2_NA_USA_Alpaca_Betacoronavirus_1 WPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHED
Buffalo_coronavirus_B1_24F_S_ANJ04717_1_2014_10_01_Bangladesh_Buffalo_Betacoronavirus_1 WPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHDD
HCoV_OC43_Seattle_USA_SC831_2016_NA_APU51916_1_2016_USA_Human_Betacoronavirus_1 WPWYVWLLICLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD
OC43_human_USA_851_15_1985_S_AGT51412_1_1985_01_08_USA_Human_Betacoronavirus_1 WPWYVWLLIGLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD
5595_2007_S_AIV41975_1_2007_07_China_Human_Betacoronavirus_1 WPWYVWLLICLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD
IWT_16_S_BBM61117_1_2016_07_Japan_Unknown_Betacoronavirus_1 WPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHED
YC_55_S_AXX83351_1_2015_03_12_China_Unknown_Betacoronavirus_1 WPWYVWLLICLAGVAMLVLLFFICCCTGCGPSCFKKCGGCCDDYTGYQELVIKTSHDD
OC43_human_USA_991_19_1999_S_AGT51511_1_1999_01_15_USA_Human_Betacoronavirus_1 WPWYVWLLICLAGVAMFVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD
HCoV_OC43_Seattle_USA_SC2269_2016_NA_ARA15421_1_2016_USA_Human_Betacoronavirus_1 WPWYVWLLICLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD
BJ_124_S_AXX83303_1_2015_05_06_China_Unknown_Betacoronavirus_1 WPWYVWLLICLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD
5240_2007_S_AIV41807_1_2007_05_China_Human_Betacoronavirus_1 WPWYVWLLICLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD
SHG_4_S_BBM61227_1_2015_10_Japan_Unknown_Betacoronavirus_1 WPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHED
MY_U413_12_S_AQN78680_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 WPWYVWLLISLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD
TCG_6_S_BBM61377_1_2007_12_Japan_Unknown_Betacoronavirus_1 WPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHED
DB2_NA_ABG89288_1_1983_NA_Cattle_Betacoronavirus_1 WPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHDD
IWT_22_S_BBM61137_1_2016_12_Japan_Unknown_Betacoronavirus_1 WPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHED
3184A_2012_S_AIV41849_1_2012_03_China_Human_Betacoronavirus_1 WPWYVWLLICLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD
7_16_23_S_AVZ61129_1_2016_07_USA_Cattle_Betacoronavirus_1 WPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHED
IWT_3_S_BBM60967_1_2011_06_Japan_Unknown_Betacoronavirus_1 WPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHED
IWT_26_S_BBM61177_1_2017_02_Japan_Unknown_Betacoronavirus_1 WPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHED
1783A_10_S_AJC98135_1_2010_01_China_Human_Betacoronavirus_1 WPWYVWLLIGLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD
BJ_112_S_AXX83297_1_2015_04_22_China_Unknown_Betacoronavirus_1 WPWYVWLLICLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD
3269A_2012_S_AIV41843_1_2012_06_China_Human_Betacoronavirus_1 WPWYVWLLISLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD
IWT_9_S_BBM60927_1_2012_04_Japan_Unknown_Betacoronavirus_1 WPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHED
HCoV_OC43_Seattle_USA_SC0839_2019_NA_QEG03767_1_2019_USA_Human_Betacoronavirus_1 WPWYVWLLICLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD
4_17_25_S_AVZ61109_1_2017_04_USA_Cattle_Betacoronavirus_1 WPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHED
********* :*****:*************.***************:*********:*
>TCG_2_S_BBM61287_1_2006_12_Japan_Unknown_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAACGGCTTTTGCTGTTATAGGAGATTTAAAGTGTACT---------------ACTGTTTCCATTAATGATGTTGACACTGGTGTTCCTTCTATTAGCACTGATACTGTCGATGTTACTAATGGTTTAGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACTACGTTGTTGCTTAATGGTTATTACCCTACTTCAGGTTCTACATATCGTAATATGGCACTGAAGGGAACTTTACTATTGAGCACACTGTGGTTTAAACCACCTTTTCTTTCTGATTTTACTAATGGTATTTTTGCTAAGGTCAAAAATACCAAGGTTATT---AAAGATGGTGTAATGTATAGTGAGTTTCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACATACTACCATTTTG------------GGTAATAAATTACAAGGTTTCTTAGAGATCTCTGTTTGCCAGTATACTATGTGCGAGTACCCAAATACGATTTGTAATCCTAATCTGGGTAATCAACGCGTAGAACTATGGCATTGGGATACAGGTGTTGTTTCCTGTTTATATAAGCGTAATTTCACATATGATGTGAACGCTGATTATTTGTATTTCCATTTTTATCAAGAAGGTGGTACTTTTTATGCATATTTTACAGACACTGGTGTTGTTACTAAGTTTCTGTTTAATGTTTATTTAGGCACGGTGCTTTCACATTATTATGTCATGCCCTTGACTTGTAATAGT------------GCTCTGACTTTAGAATATTGGGTTACACCCCTCACTTCTAAACAATATCTACTAGCTTTCAATCAAGATGGTGTTATTTTTAATGCTGTTGATTGTAAGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACTATCTATAGCACCATCTACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAATTGCAGATGTTTACCGACGTATACCTAATCTTCCCGATTGCAATATTGAGGCTTGGCTTAATGATAAGTCGGTGCCCTCTCCATTAAATTGGGAACGTAAGACCTTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCTGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCTATACCCAATGGTAGGAAGGTTGACCTACAATTGGGTAATTTGGGCTATTTGCAGTCTTTTAATTATAGAATTGATACTACTGCTACAAGTTGTCAGTTGTATTATAATTTACCTGCTGCTAATGTTTCTGTTAGCAGGTTTAATCCTTCTACTTGGAATAGGAGATTTGGTTTTACAGAACAATCTGTTTTTAAGCCTCAACCTGCAGGTGTTTTTACTGATCATGATGTTGTTTACGCACAACATTGTTTTAAAGCTCCCACAAATTTCTGTCCTTGTAAAATGGATGGGTCTTTGTGTGTAGGTAGTGGTTCTGGTATAGATGCTGGTTATAAAAATACTGGCATAGGCACTTGTCCTGCAGGTACTAATTATTTAACTTGCCAT------------AATGCTGCCCAATGTGATTGTTTGTGCACTCCAGACCCCATTACATCTAAA---GCTACAGGGCCTCAC---------AAATGCCCCCAAGCTAAATATTTAGTTGGCATAGGTGAGCACTGTTCGGGTCTTGCTATTAAAAGTGACCATTGTGGAGGTAACCCTTGTAGTTGCCAACCACAAGCATTTTTGGGTTGGTCTGTTGACTCTTGTTTACAAGGGGATAGGTGTAATATTTTTGCTAATTTTATTTTGCATGATGTTAATAGTGGTACTACTTGTTCTACTGATTTACAAAAATCAAACACAGACATAATTCTTGGTGTTTGTGTTAATTATGATCTTTATGGTATTACTGGCCAAGGGATTTTTGTTGAGGTTAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAATCTCTACGGTTTCAGAGATTACTTAACAAATAGAACTTTTATGATTCGTAGTTGCTATAGTGGTCGTGTTTCAGCGGCCTTTCATGCTAACTCTTCCGAACCAGCATTGCTATTTCGGAATATCAAATGCAATTACGTTTTTAATAACACTCTTTCACGACAGCTGCAACCTATTAACTAT---TTTGATAGCTATCTTGGTTGTGTTGTCAATGCTGATAATAGTACTTCTAGTGTTGTTCAAACATGTGATCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTACAAAAAGACGAAGTCGTAGATCGATTACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAATGATAGCTTAGAACCTGTAGGTGGTTTGTATGAAATTCAAATACCTTCAGAGTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCTAAAGTTACTATTGATTGTTTTGCTTTTGTCTGTGGTGATTATGCAGCATGTAAATCACAGTTGGTTGAATATGGTAGCTTCTGTGACAATATTAATGCTATACTCACAGAAGTAAATGAACTACTTGACACTACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTCACTCTTAGCACTAAGCTTAAAGATGGCGTTAATTTCAATGTAGACGACATCAATTTTTCCCCTGTATTAGGTTGTTTAGGAAGCGATTGCAATAAAGTTTCCAGTAGATCTGCTATAGAGGACTTACTTTTTTCTAAAGTAAAGTTATCTGATGTCGGTTTTGTTGAGGCTTATAATAATTGTACTGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAATGGTATCAAGGTGTTGCCCCCACTGCTCTCAGAAAATCAGATCAGTGGTTACACTTTGGCTGCCACCTCTGCTAGCCTGTTTCCTCCATGGTCAGCAGCAGCAGGTGTACCATTCTATTTAAATGTTCAGTATCGTATTAATGGTATTGGTGTTACCATGGATGTGCTAAGTCAAAATCAAAAGCTTATTGCTAATGCATTTAACAATGCTCTTGGTGCTATCCAGGAAGGGTTTGATGCTACCAATTCTGCTTTAGTTAAAATTCAAGCTGTTGTTAATGCAAATGCTGAAGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTTCTTCTTTACAAGAAATTCTATCTAGACTGGATGCTCTTGAAGCGCAAGCTCAGATAGACAGACTTATTAATGGGCGTCTTACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGATTCTACACTAGTAAAGTTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCATCTAGGATAAATTTTTGTGGTAATGGTAATCATATTATATCATTAGTGCAGAATGCTCCGTTTGGTTTGTATTTTATCCACTTTAGCTATGTCCCTACTAAGTATGTCACTGCGAAGGTTAGTCCCGGCCTGTGCATTGCTGGTGATAGAGGTATAGCCCCTAAGAGTGGTTATTTTGTTAATGTAAATAATACTTGGATGTTCACTGGTAGTGGTTATTACTACCCTGAACCTATAACT---GGAAATAATGTTGTTGTTATGAGTACCTGTGCTGTTAATTATACTAAAGCGCCGGATGTAATGCTGAACATTTCAACACCCAACCTCCCTGATTTTAAGGAAGAGTTGGATCAATGGTTTAAAAACCAAACATCAGTGGCACCAGATTTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGATGAAATGAATAGGTTACAGGAGGCAATAAAAGTTTTAAATCAGAGCTACATCAATCTCAAGGACATTGGTACATATGAGTATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATTGGCTTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGACACCAGGAGTTAGTAATTAAAACATCACATGAAGAC >SHG_2_S_BBM61207_1_2014_09_Japan_Unknown_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTATCAACGGCTTTTGCTGTTATAGGAGATTTAAAGTGTACT---------------ACAGTTTCCATTAATGATGTTGATACTGGTGTTCCTTCTATTAGCACTGATACTGTCGATGTTACTAATGGTTTAGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACTACGTTGTTGCTTAATGGTTATTACCCTACTTCAGGTTCTACATATCGTAATATGGCACTGAAGGGAACTTTACTATTGAGCACACTGTGGTTTAAACCACCTTTTCTTTCTGATTTTACTAATGGTATTTTTGCTAAGGTCAAAAATACCAAGGTTATT---AAAGGTGGTGTAATGTATAGTGAGTTTCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACATACTACCATTTTG------------GATAATAAATTACAAGGTTTCTTAGAGATCTCTGTTTGCCAGTATACTATGTGCGAGTACCCAAATACGATTTGTAATCCTAATTTGGGTAATCAACGCTTAGAACTATGGCATTGGGATACAGGTGTTGTTTCCTGTTTATATAAGCGTAATTTCACATATGATGTGAACGCTGATTATTTGTATTTCCATTTTTATCAAGAAGGTGGTACTTTTTATGCATATTTTACAGACACTGGTGTTGTTACTAAGTTTCTGTTTAATGTTTATTTAGGCACGGTGCTTTCACATTATTATGTCATGCCTTTGACTTGTAATAGT------------GCTTTGACTTTAGAATATTGGGTTACACCCCTCACTTCTAAACAATATCTACTAGCTTTCAATCAAGATGGTGTTATTTTTAATGCTGTTGATTGTAAGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACTATCTATAGCACCATCTACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAATTGCAGATGTTTACCGACGTATACCTAACCTTCCCGATTGCAATATTGAGGCTTGGCTTAATGATAAGTCGGTGCCCTCTCCATTAAATTGGGAACGTAAGACCTTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCTGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCTATTCCCAATGGTAGGAAGGTTGACCTACAATTGGGTAATTTGGGCTATTTGCAGTCTTTTAATTATAGAATTGATACTACTGCTACAAGTTGTCAGTTGTATTATAATTTACCTGCTGCTAATGTTTCTGTTAGCAGGTTTAATCCTTCTACTTGGAATAGGAGATTTGGTTTTACAGAACAATCTGTTTTTAAGCCTCAACCTGCAGGTGTTTTTACTGATCATGATGTTGTTTATGCACAACATTGTTTTAAAGCTCCCACAAATTTCTGTCCTTGTAAATTGGATGGGTCTTTGTGTGTAGGTAGTGGTTCTGGTATAGATGCTGGTTATAAAAATACTGGCATAGGCACTTGTCCTGCAGGTACTAATTATTTAACTTGCCAT------------AATGCTGCCCAATGTGATTGTTTGTGCACTCCAGACCCCATTACATCTAAA---GCTACAGGGCCTCAC---------AAATGCCCTCAAACTAAATATTTAGTTGGCATAGGTGAGCACTGTTCGGGTCTTGCTATTAAAAGTGATCATTGTGGAGGTAACCCTTGTAGTTGCCAACCACAAGCATTTTTGGGTTGGTCTGTTGACTCTTGTTTACAAGGGGATAGGTGTAATATTTTTGCTAATTTTATTTTGCATGATGTTAATAGTGGTACTACTTGTTCTACTGATTTACAAAAATCAAACACAGACATAATTCTTGGTGTTTGTGTTAATTATGATCTTTATGGTATTACTGGCCAAGGGATTTTTGTTGAGGTTAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAATCTCTACGGTTTCAGAGATTACTTAACAAATAGAACTTTTATGATTCGTAGTTGCTATAGTGGTCGTGTTTCAGCGGCCTTTCATGCTAACTCTTCCGAACCAGCATTGCTATTTCGGAATATCAAATGCAATTACGTTTTTAATAACACTCTTTCACGACAGCTGCAACCTATTAACTAT---TTTGATAGCTATCTTGGTTGTGTTGTCAATGCTGATAATAGCACTTCTAGTGTAGTTCAAACATGTGATCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTACAAAAAGACGAAGTCGTAGATCGATTACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAATGATAGCTTAGAACCTGTAGGTGGTTTGTATGAAATTCAAATACCTTCAGAGTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCTAAAGTTACTATTGATTGTTCTGCTTTTGTCTGTGGCGATTATGCAGCATGTAAATCACAGTTGGTTGAATATGGTAGCTTCTGTGACAATATTAATGCTATACTCACAGAAGTAAATGAACTACTTGATACTACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTCACTCTTAGCACCAAGCTTAAAGATGGCGTTAATTTTAATGTAGACGACATCAATTTTTCCCCTGTATTAGGTTGTTTAGGAAGCGATTGCAATAAAGTTTCCAGTAGATCTGCTATAGAGGACTTACTTTTTTCTAAAGTAAAGTTATCTGATGTCGGTTTTGTTGAGGCTTATAATAATTGTACTGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAATGGTATCAAGGTGTTGCCCCCACTGCTCTCAGAAAATCAGATCAGTGGTTACACTTTGGCTGCCACCTCTGCTAGCCTGTTTCCTCCATGGTCAGCAGCAGCAGGTGTACCATTCTATTTAAATGTTCAGTATCGTATTAATGGTATTGGTGTTACCATGGATGTGCTAAGTCAAAATCAAAAGCTTATTGCTAATGCATTTAACAATGCTCTTGGTGCTATCCAGGAAGGGTTTGATGCTACCAATTCTGCTTTAGTTAAAATTCAAGCTGTTGTTAATGCAAATGCTGAAGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTTCTTCTTTACAAGAAATTCTGTCTAGACTGGATGCTCTTGAAGCGCAAGCTCAGATAGACAGACTTATTAATGGGCGTCTTACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGACTCTACACTAGTAAAGTTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCTTCTAGGATAAATTTTTGTGGTAATGGTAATCATATTATATCATTAGTGCAGAATGCTCCGTATGGTTTGTATTTTATCCACTTTAGCTATGTCCCTACTAAGTATGTCACTGCGAAGGTTAGTCCCGGCCTGTGCATTGCTGGTGATAGAGGTATAGCCCCTAAGAGTGGTTATTTTGTTAATGTAAATAATACTTGGATGTTCACTGGTAGTGGTTATTACTACCCTGAACCTATAACT---GGAAATAATGTTGTTGTTATGAGTACCTGTGCTGTTAATTATACTAAAGCGCCGGATGTAATGCTGAACATTTCAACACCCAACCTCCCTGATTTTAAGGAAGAGTTGGATCAATGGTTTAAAAACCAAACATCAGTGGCACCAGATTTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAATATGAAATGAATAGGTTACAGGAGGCAATAAAAGTTTTAAATCAGAGCTACATCAATCTCAAGGACATTGGTACATATGAGTATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATTGGCTTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGACACCAGGAGTTAGTAATTAAAACATCACATGAAGAC >OC43_human_USA_901_54_1990_S_AGT51690_1_1990_01_23_USA_Human_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAACGGCTTTTGCTGTTATAGGAGATTTAAAGTGTCCTTTAGATACTAGTTATAAAGGTACATTTAATAATAAAGACACCGGTCCTCCTTTTATAAGTACTGATACTGTTGATGTTACTAATGGTTTGGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACTACGTTGTTTCTTAATGGTTATTACCCTACTTCAGGTTCCACATATCGTAATATGGCACTGAAGGGAACTGACAAATTGAGCACACTATGGTTTAAACCACCATTTCTTTCTGATTTTATTAATGGTATTTTTGCTAAGGTCAAAAATACCAAGGTTTTT---AAAGATGGTGTAATGTATAGTGAGTTCCCTGCTATAACTATAGGTAGTACTTTTGTAAACACATCCTATAGTGTGGTAGTACAACCACGTACAATTAATTCA---CAGGATGGTGATAATAAATTACAAGGTCTTTTAGAGGTCTCTGTTTGCCAGTATAATATGTGCGAGTACCCACATACGATTTGTCATCCTAAACTGGGTAATCACTTCAAAGAACTATGGCATTTGGATACAGGTGTTGTTTCCTGTTTATATAAGCGTAATTTCACATATGATGTGAATGCTAATTATTTGTATTTTCATTTTTATCAAGAAGGTGGTACTTTTTATGCATATTTTACAGACACTGGTGTTGTTACTAAGTTTTTGTTTAATGTTTATTTAGGCATGGCACTTTCACACTATTATGTCATGCCTCTGACTTGTATTAGTAGGCGTGATATTGGTTTTACTTTAGAATATTGGGTTACACCCCTCACTTCTAGACAATATTTACTCGCTTTCAATCAAGATGGTATTATTTTTAATGCTGTTGATTGTATGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACAATCTATAGCACCACCTACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAATCGCAGATGTTTACCGACGCAAACCTGATCTTCCCAATTGCAATATAGAAGCTTGGCTTAATGATAAGTCGGTGCCCTCTCCATTAAATTGGGAACGTAAGACATTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCTGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCTATACCCAATAGCAGGAAGGTTGACCTACAATTGGGTAATTTGGGCTATTTGCAGTCATCCAACTATAGAATTGATACTACTGCAACAAGTTGTCAGTTGTATTATAATTTACCTGCTGCTAATGTCTCTGTTAGCAGGTTTAATCCTTCTACTTGGAATAAGAGATTTGGTTTTATAGAAGATTCTGTTTTTGTGCCTCAACCTACAGGTGTTTTTACTAATCACAGTGTAGTTTATGCACAACACTGTTTCAAAGCCCCTAAAAATTTCTGTCCGTGTAAATTGAATGGTTCG---TGTCCTGGT---------------------------AAAAATAATGGTATAGGCACTTGTCCTGCAGGTACTAATTATTTAACTTGTGAT------------AAT------------------TTGTGTACTCTTGATCCTATTACATTTAAA---GCTCCAGGTACTTAT---------AAGTGCCCCCAAACTAAATCTTTAGTTGGCATAGGTGAGCACTGTTCGGGTCTTGCTGTTAAAAGTGATTATTGTGGAGGCAATTCTTGTACTTGCCAACCACAAGCATTTTTGGGTTGGTCTGCAGACTCTTGTTTACAAGGAGACAAGTGTAATATTTTTGCTAATCTTATTTTGCATGATGTTAATAGTGGTCTTACTTGTTCTACTGATTTACAAAAAGCTAACACAGACATAATTCTTGGTGTTTGTGTTAATTATGACCTCTATGGTATTTCAGGCCAAGGCATTTTTGTTGAGGTTAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAATCTCTACGGTTTTAGAGACTACATAACAAACAGAACTTTTATGATTCGTAGTTGCTATAGCGGTCGTGTCTCTGCGGCCTTTCATGCTAACTCTTCCGAACCAGCATTGCTATTTCGGAATATTAAATGCAACTACGTTTTTAATAATAGTCTTACACGACAGCTGCAACCCATTAACTATTCGTTTGATAGTTATCTTGGTTGTGTTGTCAATGCTTATAATAGTACTGCTATTTCTGTTCAAACATGTGATCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTAAAAACAGACGAAGTCGTAGAGCGCTTACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAATGATAGTTTGGAACCTGTAGGTGGTTTGTATGAAATTCAAATACCTTCAGAGTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCCAAAGTTACTATTGATTGTGCTGCATTTGTCTGTGGTGATTATGCAGCATGTAAATTACAGTTGGTTGAATATGGTAGTTTCTGTGATAACATTAATGCCATACTCACAGAAGTAAATGAACTACTTGATACTACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTTACTCTTAGCACTAAGCTTAAAGATGGTGTTAATTTCAATGTAGACGACATCAATTTTTCCCCTGTATTAGGTTGTCTAGGCAGCGAATGTAGTAAAGCTTCCAGTAGATCTGCTATAGAGGATTTACTTTTTGATAAAGTAAAGTTATCTGATGTCGGTTTCGTTGAGGCTTATAATAATTGTACAGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAAAGGCATCAAAGTGTTGCCCCCACTGCTCTCAGAAAATCAGATCAGTGGATACACTTTGGCTGCCACCTCTGCTAGTCTATTTCCTCCTTGGACAGCAGCAGCAGGTGTACCATTTTATTTAAATGTTCAGTATCGCATTAATGGGCTTGGTGTCACCATGGATGTGCTAAGTCAAAATCAAAAGCTTATTGCTAATGCATTTAACAATGCCCTTTATGCTATTCAGCAAGGGTTCGATGCAACTAATTCTGCTTTAGTTAAAATTCAAGCTGTTGTTAATGCAAATGCTGAAGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTGCTTCTTTACAAGAAATTCTATCTAGACTTGATGCTCTTGAAGCGGAAGCTCAGATAGATAGACTTATTAATGGTCGTCTCACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGATTCTACACTGGTAAAATTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCATCTAGGATAAATTTCTGTGGTAATGGTAATCATATTATATCATTAGTGCAGAATGCTCCATATGGTTTGTATTTTATCCACTTTAATTATGTCCCTACTAAGTATGTCACAGCGAAGGTTAGTCCTGGTCTGTGCATTGCTGGTAATAGAGGTATAGCTCCTAAGAGTGGTTATTTTGTTAATGTAAATAATACTTGGATGTACACTGGTAGTGGTTACTACTACCCTGAACCTATAACT---GAAAATAATGTTGTTGTTATGAGTACCTGCGCTGTTAATTATACTAAAGCGCCGTATGTAATGCTGAACACTTCAATACCCAACCTTCCTGATTTTAAGGAAGAGTTGGATCAATGGTTTAAAAATCAAACATCAGTGGCACCAGATTTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGTTGAAATGAATAGGTTACAGGAGGCAATAAAAGTCTTAAATCATAGCTACATTAATCTCAAGGACATTGGTACATATGAATATTATGTAAAATGGCCTTGGTATGTATGGCTCTTAATCTGCCTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGATACCAGGAGTTAGTAATCAAAACTTCACATGACGAC >10290_2010_S_AIV42005_1_2010_07_China_Human_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAACGGCTTTTGCTGTTATAGGAGATTTAAATTGTCCTTTAGATCCTAGGCTTAAAGGTAGCTTTAATAATAGAGACACCGGTCCTCCTTCTATAAGTACTGATACTGTTGATGTTACTAATGGTTTGGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACTACGTTGTTTCTTAATGGTTATTACCCCACTTCAGGTTCCACATATCGTAATATGGCACTGAAGGGAACTGACTTATTGAGCAAATTATGGTTTAAACCACCATTTCTTTCTGATTTTATTAATGGTATTTTTGCTAAGGTCAAAAATACCAAGGTTTTT---AAAGATGGTGTAATGTATAGTGAGTTCCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACGTACAATTAATTCAACACAGGATGGTGTTAATAAATTACAAGGTCTTTTAGAGGTCTCTGTTTGCCAGTATAATATGTGTGAGTACCCACATACGATTTGTCATCCTAAATTGGGTAACCATTTCAAAGAACTATGGCATTCGGATACAGGTGTTGTTTCCTGTTTGTATAAGCGTAATTTCACATATGATGTGAATGCTACTTATTTGTATTTTCATTTTTATCAAGAAGGTGGTACTTTTTATGCATATTTTACAGACACTGGTTTTGTTACTAAGTTTTTGTTTAATGTTTATTTAGGCATGGCACTTTCACACTATTATGTCATGCCTCTGACTTGTATTAGTAGGCTTGATATTGGTTTTACTTTAGAATATTGGGTTACACCCCTCACTCCTAGACAATATTTACTCGCTTTCAATCAAGATGGTATTATTTTTAATGCTGTTGATTGTATGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACAATCTATAGCACCACCCACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAATTGCAGATGTTTACCGACGCAAACCTGATCTTCCCAATTGCAATATAGAAGCTTGGCTTAATGATAAATCGGTGCCCTCTCCATTAAATTGGGAACGTAAGACATTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCTGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCTATACCCAATCGCAGGAAGGTTGACCTACAATTGGGCAATTTGGGCTATTTGCAGTCATCCAACTATAGAATTGATACTACTGCAACAAGTTGTCAGTTGTATTATAATTTACCTGCTGCTAATGTCTCTGTTAGCAGGTTTAATCCTTCTACTTGGAATAAGAGATTTGGTTTTATAGAAGATTCTGTTTTTGTGCCTCAACCTACAGGTGTTTTTACTAATCACAGTGTAGTTTATGCACAACACTGTTTTAAAGCCCCTAAAAATTTCTGTCCGTGT---------AGT---TCCTGTCCTGGT---------------------------AAAAATAATGGTTTAGGCACTTGTCCTGCAGGTACTAATCATTTAACTTGTGAT------------AAT------------------TTATGTACTCTTGATCCTATTACATTTAAA---GCTCCAGATACTTAT---------AAGTGCCCCCAAACTAAATCTCTAGTTGGTATAGGTGAGCACTGTTCGGGTCTTGCTGTTAAAAGTGATTATTGTGGAAATAATTCTTGTACTTGCCAACCACAAGCATTTTTGGGTTGGTCTGCAGACTCTTGTTTACAAGGAGACAAGTGTAATATTTTTGCTAATTTCATTTTGCATGATGTTAATAATGGTCTTACTTGTTCTACTGATTTACAAAAAGCTAACACAGAAATAGAACTTGGTGTTTGTGTTAATTATGACCTCTATGGTATTTCAGGCCAAGGCATTTTTGTTGAGGTTAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAACCTCTACGGTTTTAGAGACTACATAACAAACAGAACTTTTATGATTCATAGTTGCTATAGCGGTCGTGTTTCTGCGGCCTATCATGCCAACTCTTCCGAACCAGCATTGCTATTTCGGAATATTAAATGCAACTACGTTTTTAATAATAGTCTTACACGACAGCTGCAACCCATTAACTATTCGTTTGATAGTTATCTTGGTTGTGTTGTCAATGCTTATAATAGTACCGCTATTTCTGTTCAAACATGTGATCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTAAAAACAGACGAAGTCGTAGAGCGATCACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAATGATAGTTTGGAACCTGTAGGTGGTTTGTATGAAATTCAAATACCTTCAGAGTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCCAAAGTTACTATTGATTGTGCTGCATTTGTCTGTGGTGATTATGCAGCATGTAAATTACAGTTGGTTGAATATGGTAGTTTCTGTGATAACATTAATGCCATACTCACAGAAGTAAATGAACTACTTGATACTACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTTACTCTTAGCACTAAGCTTAAAGATGGTGTTAATTTCAATGTAGACGACATCAATTTTTCCCCTGTATTAGGTTGTCTAGGCAGCGAATGTAGTAAAGCTTCCAGTAGATCTGCTATAGAGGATTTACTTTTTGATAAAGTAAAGTTATCTGATGTCGGTTTCGTTGAGGCTTATAATAATTGTACAGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAAAGGCATCAAAGTGTTGCCTCCACTGCTCTCAGAAAATCAGATCAGTGGATATACTTTGGCTGCCACCTCTGCTAGTCTATTTCCTCCTTGGACAGCAGCAGCAGGTGTACCATTATATATTAATGTTCAGTATCGCATTAATGGGCTTGGTGTCACCATGGATGTGCTAAGTCAAAATCAAAAGCTTATTGCTAATGCATTTAACAATGCCCTTCATGCTATTCAGCAAGGGTTCGATGCAACTAATTCTGCTTTAGTTAAAATTCAAGCTGTTGTTAATGCAAATGCTGAAGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTGCTTCTTTACAAGAAATTCTATCTAGACTTGATGCTCTTGAAGCGGAAGCTCAGATAGATAGACTTATTAATGGTCGTCTCACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGATTCTACACTGGTAAAATTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCATCTAGGATAAATTTCTGTGGTAATGGTAATCATATTATATCATTAGTGCAGAATGCTCCATATGGTTTGTATTTTATCCACTTTAATTATGTCCCTACTAAGTATGTCACAGCGAAGGTTAGTCCTGGTCTGTGCATTGCTGGTAATAGAGGTATAGCTCCTAAGAGTGGTTATTTTGTTAATGTAAATAATACTTGGATGTACACTGGTAGTGGTTACTACTACCCTGAACCTATAACT---GAAAATAATGTTGTTGTTATGAGTACCTGCGCTGTTAATTATACTAAAGCGCCGTATGTAATGCTGAACACTTCAATACCCAACCTTCCTGATTTTAAGGAAGAGTTGGACCAATGGTTCAAAAATCAAACATCAGTGGCACCAGATTTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGTTGAAATGAATAGGTTACAGGAGGCAATAAAAGTCTTAAATCATAGCTACATCAATCTCAAGGACATTGGTACATATGAATATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATCTGCCTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGATACCAGGAGTTAGTAATCAAAACTTCACATGACGAC >UNKNOWN_DQ915164_S_ABI93999_2_NA_USA_Alpaca_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAACTGCTTTTGCTGTTATAGGAGATTTAAAGTGTACT---------------ACAGTTTCCATTAATGATGTTGACACTGGTGTTCCTTCTATTAGCACTGATACTGTCGATGTTACTAATGGTTTAGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACTACGTTGTTGCTTAATGGTTATTACCCTACTTCAGGTTCTACATATCGTAATATGGCACTGAAGGGAACTTTACTATTGAGCACACTGTGGTTTAAACCACCTTTTCTTTCTGATTTTACTAATGGTATTTTTGCTAAGGTCAAAAATACCAAGGTTATT---AAAGATGGTGTAATGTATAGTGAGTTTCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACATACTACCATTTTG------------GGTAATAAATTACAAGGTTTCTTAGAGATCTCTGTTTGCCAGTATACTATGTGCGAGTACCCAAATACGATTTGTAATTCTAATCTGGGTAATCGACGCGTAGAACTATGGCATTGGGATACAGGTGTTGTTTCCTGTTTATATAAGCGTAATTTCACATATGATGTGAATGCTGATTATTTGTATTTCCATTTTTATCAAGAAGGTGGTACTTTTTATGCATATTTTACAGACACTGGTGTTGTTACTAAGTTTCTGTTTAATGTTTATTTAGGCACAGTGCTCTCACATTATTATGTCATGCCTTTGACTTGTAATAGT------------GCTCTGACTTTAGAATATTGGGTTACACCCCTCACTTCTAAACAATATCTACTAGCTTTCAATCAAGATGGTGTTATTTTTAATGCTGTTGATTGTAAGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACTATCTATAGCACCATCTACTGGTGTTTATGAACTAAACGGTTACACTGTTCAGCCAATTGCAGATGTTTACCGACGTATACCTAATCTTCCCGATTGCAATATTGAGGCTTGGCTTAATGATAAGTCGGTGCCCTCTCCATTAAATTGGGAACGTAAGACCTTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCTGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCAATACCCAATGGTAGGAAGGTTGACCTACAATTGGGTAATTTGGGCTATTTGCAGTCTTTTAATTATAGAATTGATACTACTGCTACAAGTTGTCAGTTGTATTATAATTTACCTGCTGCTAATGTTTCTGTTAGCAGGTTTAATCCTTCTACTTGGAATAGGAGATTTGGTTTTACAGAACAATCTGTTTTTAAGCCTCAACCTGCAGGTGTTTTTACTGATCATGATGTTGTTTATGCACAACATTGTTTTAAAGCTCCCACAAATTTCTGTCCGTGTAAATTGGATGGGTCTTTGTGTGTAGGTAATGGTCCTGGTATAGATGCTGGTTATAAAACTAGTGGCATAGGCACTTGTCCTGCAGGTACTAATTATTTAACTTGCCAT------------AATGCTGCCCAATGTAATTGTTTGTGCACTCCAGACCCCATTACATCTAAA---GCTACAGGGCCTTAC---------AAGTGCCCCCAAACTAAATATTTAGTTGGCATAGGTGAGCACTGTTCGGGTCCTGCTATTAAAAGTGATTATTGTGGAGGTAATCCTTGTACTTGCCAACCACAAGCATTTTTGGGGTGGTCTGTTGACTCTTGTTTACAAGGGGATAGGTGTAATATTTTTGCTAATTTCATTTTGCATGATGTTAATAGTGGTACTACTTGTTCTACTGATTTACAAAAATCAAACACAGACATAATTCTTGGTGTTTGTGTTAATTATGATCTTTATGGTATTACTGGCCAAGGTATCTTTGTTGAGGTTAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAATCTCTATGGTTTTAGAGACTACTTAACAAATAGAACTTTTATGATTCGTAGTTGCTATAGTGGTCGTGTTTCAGCGGCCTTTCATGCTAACTCTTCCGAACCAGCATCGCTATTTCGGAATATTAAATGCAATTACGTTTTTAATAATACTCTTTCACGACAGCTGCAACCTATTAACTAT---TTTGATAGCTATCTTGGTTGTGTTGTCAATGCTGATAATAGTACTTCTAGTGTTGTTCAAACATGTGATCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTACAAAAAGACGAAGTCGTAGATCGATTACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAATGATAGCTTAGAACCTGTAGGTGGTTTGTACGAAATTCAAATACCTTCAGAGTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCTAAAGTTACTATTGATTGTTCTGCTTTTGTCTGTGGTGATTATGCAGCATGTAAATCACAGTTGGTTGAATATGGTAGCTTCTGTGACAATATTAATGCTATACTCACAGAAGTAAATGAACTACTTGACACTACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTCACTCTTAGCACTAAGCTTAAAGATGGCGTTAATTTCAATGTAGACGACATCAATTTTTCCCCTGTATTAGGTTGTTTAGGAAGCGATTGCAATAAAGTTTCCAGTAGATCTGCTATAGAGGACTTACTTTTTTCTAAAGTAAAGTTATCTGATGTCGGTTTCGTTGAGGCCTATAATAATTGTACTGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAATGGTATCAAGGTGTTGCCTCCACTGCTCTCAGATAATCAGATCAGTGGATACACTTTGGCTGCCACCTCTGCTAGCCTGTTTCCTCCATGGTCAGCAGCAGCAGGTGTACCATTCTATTTAAATGTTCAGTATCGTATTAATGGTATTGGTGTTACCATGGATGTGCTAAGTCAAAATCAAAAGCTTATTGCTAATGCATTTAACAATGCTCTTGGTGCTATTCAGGAAGGGTTTGATGCTACCAATTCTGCTTTAGTTAAAATTCAAGCTGTTGTTAATGCAAATGCTGAAGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTTCTTCTTTACAAGAAATTCTATCTAGACTGGATGCTCTTGACGCGCAAGCTCAGATAGATAGACTTATTAATGGGCGTCTTACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGACTCTACACTAGTAAAGTTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCATCTAGGATAAATTTTTGTGGTAATGGTAATCATATTATATCATTAGTGCAGAATGCTCCATATGGTTTGTATTTTATCCACTTTAGCTATGTCCCTACTAAGTATGTCACAGCGAAGGTTAGTCCCGGTCTGTGCATTGCTGGTGGTAGAGGTATAGCCCCTAAGAGTGGTTATTTTGTTAATGTAAATAACACTTGGATGTTCACTGGTAGTGGTTATTACTACCCTGAACCTATAACT---GGAAATAATGTTGTTGTTATGAGTACCTGTGCTGTTAATTATACTAAAGCGCCGGATGTAATGCTGAACATTTCAACACCCAACCTCCCTGATTTTAAGGAAGAGTTGGATCAATGGTTTAAAAACCAAACATCAGTGGCACCAGATTTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGATGAAATGAATAGGTTACAGGAGGCAATAAAAGTTTTAAATCAGAGCTACATCAATCTCAAGGACATTGGTACATATGAGTATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATTGGCTTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGACACCAGGAGTTAGTAATTAAAACATCACATGAAGAC >Buffalo_coronavirus_B1_24F_S_ANJ04717_1_2014_10_01_Bangladesh_Buffalo_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAATGGCTTTTGCTGTTATAGGAGATTTAAAGTGTACT---------------ACTGTATCTATTAATGACGTTGACACTGGTGTACCATCTATAAGCACTGATACTGTCGACGTTACTAATGGTTTGGGTACTTATTACGTTTTAGATCGTGTTTATTTAAATACTACTTTGTTGCTTAATGGTTATTACCCTACTTCAGGTTCCACATATCGTAATATGGCACTGAAGGGAACTTTACTATTGAGTACACTATGGTTTAAACCACCTTTTCTTTCTGATTTTACTAATGGTATTTTTGCTAAGGTCAAAAACACCAAGTTTATT---AAAGATGGTGTAAAGTATAGTGAGTTTCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACATACTTTTAATTTG------------GGTAACAAATTACAAGGTTTCTTAGAGATCTCTGTTTGCCAGTATACTATGTGTGAGTACCCAAATACGATTTGTAATCCTAATCTGGGTAATCAACGCGTAGAATTATGGCATTGGGATACAGGTGTTGTTTCCTGTTTATATAAGCGTAATTTCACATATGATGTGAATGCCGATTATTTGTATTTCCATTTTTATCAAGAAGGTGGTACTTTTTATGCATATTTTACAGACACTGGTGTTGTTACTAAGTTTCTGTTTAATGTTTATTTAGGCACGGTGCTTTCACATTATTATGTCATGCCTTTGACTTGTAATAGT------------GCTCTGACTTTAGAATATTGGGTTACACCCCTCACTTCTAAACAATATCTACTAGCTTTCAATCAAGATGGTGTTATTTTTAATGCTGTTGATTGTAAGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACTATCTATAGCACCATCCACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAATTGCAGATGTTTACCGACGTATACCTAATCTTCCCGATTGTAATATTGAGGCTTGGCTTAATGATAAGTCGGTGCCCTCTCCATTAAATTGGGAACGTAAGACCTTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCTGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCTATACCCAATGGTAGGAAGGTTGACCTACAATTAGGTAATTTGGGCTATTTGCAGTCTTTTAATTATAGAATTGATACTACTGCTACAAGTTGCCAGTTGTATTATAATTTACCTGCTGCCAATGTTTCTGTTAGCAGGTTTAATCCTTCTACTTGGAATAGGAGATTTGGTTTTACAGAACAATTTGTTTTTAAGCCTCAACCTTTAGGTGTTTTTACTGATCATGATGTTGTTTTTGCACAACATTGTTTTAAAGCTCCCACAAACTTCTGTCCGTGTAAATTGGATGGGTCTTTGTGTGTAGGTACTGGTTCTGGCATAGATGCTGGTTATAAAAATACTGGTATAGGCACTTGTCCTGCAGGTACTAATTATTTAACTTGTCAT------------AATGCTGCCCAATGTGATTGTTTGTGCACCCCAGACCCCATTACATCTAAA---GCTACAGGGCCTTAC---------AAGTGCCCCCAAACTAAATATTTAGTTGGTATAGGTGAGCACTGTTCGGGTCTTGCTATTAAAAGTGATTATTGTGGAGGTAATCCTTGTAGTTGCCAACCACAAGCATTTTTGGGTTGGTCTGTTGACTCTTGTTTACAAGGGGATAGGTGTAATATTTTTGCTAATTTTATTTTGCATGATGTTAATAGTGGTACTACTTGTTCTACTGATTTACAAAAATCAAACACAGACATAATTCTTGGTGTTTGTGTTAATTATGATCTCTATGGTATTACAGGCCAAGGGATTTTTGTTGAGGTTAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAATCTCTATGGTTTTAGAGACTACTTAACAAATAGAACTTTTATGATTCGTAGTTGCTATAGTGGTCGTGTTTCAGCGGCCTTTCATGCTAACTCTTCCGAACCAGCATTGCTATTTTGGAATATTAAATGCAATTACGTTTTTAATAATACTCTTTCACGACAACTGCAACCTATTAACTAT---TTTGATAGCTATCTTGGTTGTGTTGTCAATGCTGATAATAGTACTTCTAGTGTTGTTCAAACATGTGATCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTATAAAAAGACGAAGTCGTAGATCGATTACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAAATCAGTAAATGATAGTTTAGAACCTGTAGGTGGTTTGTATGAAATTCAAATACCTTCAGAGTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCTAAAGTTACTATTGATTGTTCTGCTTTTGTCTGTGGTGATTATGCAGCATGTAAATCACAGTTGGTTGAATATGGTAGCTTCTGTGACAATATTAATGCTATACTCACAGAAGTAAATGAATTACTTGACACTACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTCACTCTTAGCACTAAGCTTAAAGATGGCGTTAATTTCAATGTAGATGACATCAATTTTTCCCCTGTATTAGGTTGTTTAGGAAGCGATTGTAATAAAGTTTCCAGTAGATCTGCTATAGAGGACTTACTTTTTTCTAAAGTAAAGTTATCTGATGTCGGTTTCGTTGAGGCTTATAATAATTGTACTGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAATGGTATCAAGGTGTTGCCTCCACTGCTCTCAGAAAATCAGATCAGTGGATACACTTTGGCTGCCACCTCTGCTAGTCTGTTTCCTCCTTGGTCAGCAGCAGCAGGTGTACCATTTTATTTAAATGTTCAGTATCGTATTAATGGGATTGGTGTTACCATGGATGTGCTAAGCCAAAATCAAAAGCTTATTGCTAATGCATTTAACAACGCTTTGACAGCTATTCAGAATGGGTTTGATGCAACCAATTCTGCTTTAGTTAAAATCCAGTCCGTTGTTAATGCAAATGCTGAAGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTTCTTCTTTACAAGAAATTCTATCTAGACTGGATGCTCTTGAAGCGCAAGCTCAGATAGACAGACTTATTAATGGGCGTCTTACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGATTCTACACTAGTAAAATTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCATCTAGGATAAATTTTTGTGGTAATGGTAATCATATTATATCATTAGTGCAGAATGCTCCATATGGTTTGTATTTTATCCACTTTAGCTATGTCCCTACTAAGTATGTCACTGCGAAGGTTAGTCCCGGTCTGTGCATTGCTGGTGATAGAGGTATAGCCCCTAAGAGTGGTTATTTTTTAAATGTAAATAATACTTGGATGTTTACTGGTAGTGGTTATTACTACCCTGAACCTATAACT---GGAAATAATGTTGTTGTTATGAGTACCTGTGCTGTTAATTATACTAAAGCGCCGGATGTAATGCTGAATATTTCAACACCCAACCTCCCTGATTTTAAGGAAGAGTTGGATCAATGGTTTAAAAACCAAACATCAGTGGCACCAGATTTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGATGAAATGAATAGGTTACAGGAGGCAATAAAAGTTTTAAATCAGAGCTACATCAATCTCAAGGACATTGGTACATATGAGTATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATTGGCTTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGACACCAGGAGTTAGTAATTAAAACATCACATGACGAC >HCoV_OC43_Seattle_USA_SC831_2016_NA_APU51916_1_2016_USA_Human_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAACGGCTTTTGCTGTTATAGGAGATTTAAATTGTACTTTAGATCCTAGGCTTAAAGGTAGCTTTAATAATAGAGACACCGGTCCTCCTTCTATAAGTATTGATACTGTTGATGTTACTAATGGTTTGGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACCACGTTGTTTCTTAATGGTTATTACCCCACTTCAGGTTCCACATATCGTAATATGGCACTGAAGGGAACTGACTTATTGAGCACATTATGGTTTAAACCACCATTTCTTTCTGATTTTATTAATGGTATTTTTGCTAAGGTCAAAAATACCAAGGTTTTT---AAAGATGGTGTAATGTATAGTGAGTTCCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACGTACAATTAATTCAACACAGGATGGTGTTAATAAATTACAAGGTCTTTTAGAGGTCTCTGTTTGCCAGTATAATATGTGTGAGTACCCACATACGATTTGTCATCCTAACTTGGGTAACCATTTCAAAGAACTATGGCATTATGATACAGGTGTTGTTTCCTGTTTGTATAAGCGTAATTTCACATATGATGTGAATGCTACTTATTTGTATTTTCATTTTTATCAAGAAGGTGGTACTTTTTATGCATATTTTACAGACACTGGTTTTGTTACTAAGTTTTTGTTTAATGTTTATTTAGGCATGGCACTTTCACACTATTATGTCATGCCTCTGACTTGTATTCGTAGGCCTAAAGACGGTTTTAGTTTAGAATATTGGGTTACACCCCTCACTCCTAGACAATATTTACTCGCTTTCAATCAAGATGGTATTATTTTTAATGCTGTTGATTGTATGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACAATCTATAGCACCACCCACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAGTTGCAGATGTTTACCGACGCAAACCTGATCTTCCCAATTGTAATATAGAAGCTTGGCTTAATGATAAGTCGGTGCCCTCCCCATTAAATTGGGAACGTAAGACATTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCTGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCTATACCCAATCGCAGGAAGGTTGACCTACAATTGGGTAATTTGGGCTATTTGCAGTCATCCAACTATAGAATTGATACTACTGCAACAAGTTGTCAGTTGTATTATAATTTACCTGCTGCTAATGTTTCTGTTAGCAGGTTTAATCCTTCTACTTGGAATAAGAGATTTGGTTTTATAGAAGATTCTGTTTTTGTGCCTCAACCTACAGGTGTTTTTACTAATCACAGTGTAGTTTATGCACAACACTGTTTTAAAGCCCCTAAAAATTTCTGTCCGTGT------------AGTTCCTGTCCTGGT---------------------------AAAAATAATGGTATAGGCACTTGTCCTGCAGGTACTAATTCTTTAACTTGTGAT------------AAT------------------TTATGTACTCTTGATCCTATTACACTTAAA---GCTCCAGATACTTAT---------AAGTGCCCCCAATCTAAATCTTTAGTTGGTATAGGTGAGCACTGTTCGGGTCTTGCTGTTAAAAGTGATTATTGTGGAAACAATTCTTGTACTTGCCAACCACAAGCATTTTTGGGTTGGTCTGCAGACTCTTGTTTACAAGGAGACAAGTGTAATATTTTTGCTAATTTCATTTTGCATGATGTTAATAATGGTCTTACTTGTTCTACTGATTTACAAAAAGCTAACACAGAAATAGAACTTGGTGTTTGTGTTAATTATGACCTCTATGGTATTTCTGGCCAAGGCATTTTTGTTGAGGTTAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAACCTCTACGGTTTTAGAGACTACATAACAAACAGAACTTTTATGATTCATAGTTGCTATAGCGGTCGTGTTTCTGCGGCCTATCATGCCAACTCTTCCGAACCAGCATTGCTATTTCGGAATATTAAATGCAACTACGTTTTTAATAATAGTCTTACACGACAGCTGCAACCCATTAACTATTCGTTTGATAGTTATCTTGGTTGTGTTGTCAATGCTTATAATAGTACTGCTATTTCTGTCCAAACATGTGATCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTAAAAACAGACGAAGTCGTAGAGCGATCACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAATGATAGTTTGGAACCTGTAGGTGGTTTGTATGAAATTCAAATACCTTCAGAGTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCCAAAGTTACTATTGATTGTGCTGCATTTGTCTGTGGTGATTATGCAGCATGTAAATTACAGTTGGTTGAATATGGTAGTTTCTGTGATAACATTAATGCCATACTCACAGAAGTAAATGAACTACTTGATACTACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTTACTCTTAGCACTAAGCTTAAAGATGGTGTTAATTTCAATGTAGACGACATCAATTTTTCCCCTGTATTAGGTTGTCTAGGCAGCGAATGTAGTAAAGCTTCCAGTAGATCTGCTATAGAGGATTTACTTTTTGATAAAGTAAAGTTATCTGATGTCGGTTTCGTTGAGGCTTATAATAATTGTACAGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAAAGGCATCAAAGTGTTGCCTCCACTGCTCTCAGAAAATCAGATCAGTGGATATACTTTGGCTGCCACCTCTGCTAGTCTATTTCCTCCTTGGACAGCAGCAGCAGGTGTACCATTTTATTTAAATGTTCAGTATCGCATTAATGGGCTTGGTGTCACCATGGATGTGCTAAGTCAAAATCAAAAGCTTATTGCTAATGCATTTAACAATGCCCTTCATGCTATTCAGCAAGGGTTCGATGCAACTAATTCTGCTTTAGTTAAAATTCAAGCTGTTGTTAATGCAAATGCTGAAGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTGCTTCTTTACAAGAAATTCTATCTAGACTTGATGCTCTTGAAGCGGAAGCTCAGATAGATAGACTTATTAATGGTCGTCTCACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGATTCTACACTGGTAAAATTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCATCTAGGATAAATTTCTGTGGTAATGGTAATCATATTATATCATTAGTGCAGAATGCTCCATATGGTTTGTATTTTATCCACTTTAATTATGTCCCTACTAAGTATGTCACAGCGAAGGTTAGTCCTGGTCTGTGCATTGCTGGTAATAGAGGTATAGCTCCTAAGAGTGGTTATTTTGTTAATGTAAATAATACTTGGATGTACACTGGTAGTGGTTACTACTACCCTGAACCTATAACT---GAAAATAATGTTGTTGTTATGAGTACCTGCGCTGTTAATTATACTAAAGCGCCGTATGTAATGCTGAACACCTCAATACCCAACCTTCCTGATTTTAAGGAAGAGTTGGACCAATGGTTCAAAAATCAAACATCAGTGGCACCAGATTTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGTTGAAATGAATAGGTTACAGGAGGCAATAAAAGTTTTAAATCATAGCTACATCAATCTCAAGGACATTGGTACATATGAATATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATCTGCCTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGATACCAGGAGTTAGTAATCAAAACTTCACATGACGAC >OC43_human_USA_851_15_1985_S_AGT51412_1_1985_01_08_USA_Human_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAATGGCTTTTGCTGTTATAGGAGATTTAAAGTGTACTTCAGAT---------ACGAGTTATATTAATGATGTTGACACCGGTGTTCCTCCTATAAGTACTGATACTGTTGATGTTACTAATGGTTTGGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACTACTTTGTTTCTTAATGGTTACTATCCTACTTCAGGTTCCACATATCGTAATATGGCACTGAAGGGAAGTGTACTGTTGAGCACACTATGGTTTAAACCACCATTTCTTTCTGATTTTATTAATGGTATTTTTGCTAAGGTCAAAAATACCAAGGTTATT---AAAGATGATGTACTGTACAGTGAGTTCCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACGTACAATCAATTTA------------GATAATAAATTACAAGGTCTTTTAGAGATCTCTGTTTGCCAGTATAATATGTGCGAGTACCCACATACGATTTGTCATCCTAACTTGGGTAATCATCGCACAGAACTATGGCATTTGGATACAGGTGTTGTTTCCTGTTTATATAAGCGTAATTTCACATATGATGTGAATGCTGATTATTTGTATTTTCATTTTTATCAAGAAGGTGGTACTTTTTATGCATATTTTACAGACACTGGTGTTGTTACTAAGTTTTTGTTTAATGTTTATTTAGGCATGGCGCTTTCACACTATTATGTCATGCCTCTGACTTGTAATAGTAAGCGTAAGGATGGTTTTACTTTAGAATATTGGGTTACACCTCTCACTTCTAGACAATATTTACTCGCTTTCAATCAAGATGGTATTATTTTTAATGCTGTTGATTGCATGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACAATCTATAGCACCACCTACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAATCGCAGATGTTTACCGACGTAAACCTAATCTTCCCAATTGTAATATAGAAGCTTGGCTTAATGATAAGTCGGTGCCATCTCCATTAAATTGGGAACGTAAGACATTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCCTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCTGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCTATACCCAATGGCAGGAAGGTTGACCTACAATTGGGTAATTTGGGCTATTTGCAGTCATTTAACTATAGAATTGATACTACTGCAACAAGTTGTCAGTTGTATTATAATTTACCTGCTGCTAATGTTTCTGTTAGCAGGTTTAATCCTTCTACTTGGAATAAGAGATTCGGTTTTATAGAAGATTCTGTTTTTAAGCCTCAACCTGCAGGTGTTTTTACCAATCATGATGTAGTTTATGCCCAACATTGTTTCAAAGCTCCCAAAAATTTCTGTCCGTGTAAATTGAATGGTTCTCTGTGTGTAGGTAGTGGTCCTGGT---------------AAAAATAATGGTATAGGCACTTGTCCTGCAGGTACTAATTATTTAACTTGTCAT------------AAT------------------TTGTGCAATCCTGATCCTATTACATTTACA---------GGTCCTTAT---------AAGTGCCCCCAAACTAAATCTTTAGTTGGTATAGGTGAGCACTGTTCAGGTCTTGCTGTTAAAAGTGATTATTGTGGAGGCAATCCTTGCACTTGCCAACCACAAGCATTTTTGGGTTGGTCTGCAGACTCTTGTTTACAAGGGGACAAGTGTAATATTTTTGCTAATTTAATTTTGCATGATGTTAATAGTGGTCTTACTTGTTCTACTGATTTACAAAAAGCTAACACAGACATAATTCTTGGTGTTTGTGTTAATTATGACCTTTATGGTATTTCAGGCCAAGGCATTTTTGTTGAGGTTAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAATCTCTATGGTTTTAGAGACTACATAACAAACAGAACTTTTATGATTCGTAGTTGCTATAGCGGTCGTGTTTCTGCGGCCTTTCACGCTAACTCTTCCGAACCAGCATTGCTATTTCGGAATATTAAATGCAACTACGTTTTTAATAATAGTCTTACACGACAGCTGCAACCCATTAACTAT---TTTGATAGTTATCTTGGTTGTGTTGTCAATGCTTATAATAGTACTGCTATTTCTGTTCAAACATGTGATCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTAAAAACAGACGAAGTCGTAGAGCGATTACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAATGATAGTTTAGAACCTGTAGGTGGTTTGTACGAAATTCAAATACCTTCAGAGTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCTAAAGTTACTATTGATTGTGCTGCATTTGTCTGTGGTGATTATGCAGCATGTAAATCACAGTTGGTTGAATATGGTAGTTTCTGTGATAACATTAATGCCATACTCACAGAAGTAAATGAACTACTTGACACTACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTTACTCTTAGCACTAAGCTTAAAGATGGCGTTAATTTCAATGTAGACGACATCAATTTTTCCCCTGTATTAGGTTGTCTAGGCAGCGAATGTAGTAAAGCTTCCAGTAGATCTGCTATAGAGGATTTACTTTTTGATAAAGTAAAGTTATCTGATGTCGGTTTCGTTGAGGCTTATAATAATTGTACTGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAAAGGTATCAAAGTGTTGCCTCCACTGCTCTCAGAAAATCAGATCAGTGGATACACTTTGGCTGCCACTTCTGCTAGTCTGTTTCCTCCTTGGACAGCAGCAGCAGGTGTACCATTTTATTTAAATGTTCAGTATCGCATTAATGGGCTTGGTGTCACCATGGATGTGCTAAGTCAAAATCAAAAGCTTATTGCTAATGCATTTAACAATGCCCTTGATGCTATTCAGGAAGGGTTCGATGCAACTAATTCTGCTTTAGTTAAAATTCAAGCTGTTGTTAATGCAAATGCTGAAGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTTCTTCTTTACAAGAAATTCTATCTAGACTTGATGCTCTTGAAGCGGAAGCTCAGATAGATAGACTTATTAATGGTCGTCTTACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGATTCTACACTGGTAAAATTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCATCTAGGATAAATTTCTGTGGTAATGGTAACCATATTATATCATTAGTGCAGAATGCTCCATATGGTTTGTATTTTATCCACTTTAGTTATGTCCCTACTAAGTATGTCACAGCGAAGGTTAGTCCTGGTCTGTGCATTGCTGGTGATAGAGGTATAGCTCCTAAGAGTGGTTATTTTGTTAATGTAAATAATACTTGGATGTACACTGGTAGTGGTTACTACTACCCTGAACCTATAACT---GAAAATAATGTCGTTGTTATGAGTACCTGCGCTGTTAATTATACTAAAGCGCCGTATGTAATGCTGAACACTTCAACACCCAACCTTCCTGATTTTAGGGAAGAGTTGGATCAATGGTTTAAAAATCAAACATCAGTGGCACCAGATCTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGTTGAAATGAATAGGTTACAGGAGGCAATAAAAGTCTTAAATCAGAGCTACATCAATCTCAAGTACATTGGTACATATGAATATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATCGGCCTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGATACCAGGAGTTAGTAATCAAAACTTCACATGACGAC >5595_2007_S_AIV41975_1_2007_07_China_Human_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAACGGCTTTTGCTGTTATAGGAGATTTAAATTGTCCTTTAGATCCTAGGCTTAAAGGTAGCTTTAATAATAGAGACACCGGTCCTCCTTCTATAAGTACTGATACTGTTGATGTTACTAATGGTTTGGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACTACGTTGTTTCTTAATGGTTATTACCCCACTTCAGGTTCCACATATCGTAATATGGCACTGAAGGGAACTGACAAATTGAGCACATTATGGTTTAAACCACCATTTCTTTCTGATTTTATTAATGGTATTTTTGCTAAGGTCAAAAATACCAAGGTTTTT---AAAGATGGTGTAATGTATAGTGAGTTCCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACGTACAATTAATTCAACACAGGATGGTGTTAATAAATTACAAGGTCTTTTAGAGGTCTCTGTTTGCCAGTATAATATGTGTGAGTACCCACATACGATTTGTCATCCTAAATTGGGTAACCATTTCAAAGAACTATGGCATTTGGATACAGGTGTTGTTTCCTGTTTGTATAAGCGTAATTTCACATATGATGTGAATGCTACTTATTTGTATTTTCATTTTTATCAAGAAGGTGGTACTTTTTATGCATATTTTACAGACACTGGTTTTGTTACTAAGTTTTTGTTTAATGTTTATTTAGGCATGGCACTTTCACACTATTATGTCATGCCTCTGACTTGTATTAGTAGGCTTGATATTGGTTTTACTTTAGAATATTGGGTTACACCCCTCACTCCTAGACAATATTTACTCGCTTTCAATCAAGATGGTATTATTTTTAATGCTGTTGATTGTATGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACAATCTATAGCACCACCCACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAATTGCAGATGTTTACCGACGCAAACCTGATCTTCCCAATTGCAATATAGAAGCTTGGCTTAATGATAAGTCGGTGCCCTCTCCATTAAATTGGGAACGTAAGACATTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCTGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCTATACCCAATCGCAGGAAGGTTGACCTACAATTGGGCAATTTGGGCTATTTGCAGTCATCCAACTATAGAATTGATACTACTGCAACAAGTTGTCAGTTGTATTATAATTTACCTGCTGCTAATGTCTCTGTTAGCAGGTTTAATCCTTCTACTTGGAATAAGAGATTTGGTTTTATAGAAGATTCTGTTTTTGTGCCTCAACCTACAGGTGTTTTTACTAATCACAGTGTAGTTTATGCACAACACTGTTTTAAAGCCCCTAAAAATTTCTGTCCGTGT---------AGT---TCCTGTCCTGGT---------------------------AAAAATAATGGTATAGGCACTTGTCCTGCAGGTACTAATTATTTAACTTGTGAT------------AAT------------------TTATGTACTCTTGATCCTATTACATTTAAA---GCTCCAGATACTTAT---------AAGTGCCCCCAAACTAAATCTTTAGTTGGTATAGGTGAGCACTGTTCGGGTCTTGCTGTTAAAAGTGATTATTGTGGAAACAATTCTTGTACTTGCCAACCACAAGCATTTTTGGGTTGGTCTGCAGACTCTTGTTTACAAGGAGACAAGTGCAATATTTTTGCTAATTTCATTTTGCATGATGTTAATAATGGTCTTACTTGTTCTACTGATTTACAAAAAGCTAACACAGAAATAGAACTTGGTGTTTGTGTTAATTATGACCTCTATGGTATTTCAGGCCAAGGCATTTTTGTTGAGGTTAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAACCTCTACGGTTTTAGAGACTACATAACAAACAGAACTTTTATGATTCATAGTTGCTATAGCGGTCGTGTTTCTGCGGCCTATCATGCCAACTCTTCCGAACCAGCATTGCTATTTCGGAATATTAAATGCAACTACGTTTTTAATAATAGTCTTACACGACAGCTGCAACCCATTAACTATTCGTTTGATAGTTATCTTGGTTGTGTTGTCAATGCTTATAATAGTACTGCTATTTCTGTTCAAACATGTGATCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTAAAAACAGACGAAGTCGTAGAGCGATCACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAATGATAGTTTGGAACCTGTAGGTGGTTTGTATGAAATTCAAATACCTTCAGAGTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCCAAAGTTACTATTGATTGTGCTGCATTTGTCTGTGGTGATTATGCAGCATGTAAATTACAGTTGGTTGAATATGGTAGTTTCTGTGATAACATTAATGCCATACTCACAGAAGTAAATGAACTACTTGATACTACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTTACTCTTAGCACTAAGCTTAAAGATGGTGTTAATTTCAATGTAGACGACATCAATTTTTCCCCTGTATTAGGTTGTCTAGGCAGCGAATGTAGTAAAGCTTCCAGTAGATCTGCTATAGAGGATTTACTTTTTGATAAAGTAAAGTTATCTGATGTCGGTTTCGTTGAGGCTTATAATAATTGTACAGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAAAGGCATCAAAGTGTTGCCTCCACTGCTCTCAGAAAATCAGATCAGTGGATATACTTTGGCTGCCACCTCTGCTAGTCTATTTCCTCCTTGGACAGCAGCAGCAGGTGTACCATTTTATTTAAATGTTCAGTATCGCATTAATGGGCTTGGTGTCACCATGGATGTGCTAAGTCAAAATCAAAAGCTTATTGCTAATGCATTTAACAATGCCCTTCATGCTATTCAGCAAGGGTTCGATGCAACTAATTCTGCTTTAGTTAAAATTCAAGCTGTTGTTAATGCAAATGCTGAAGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTGCTTCTTTACAAGAAATTCTATCTAGACTTGATGCTCTTGAAGCGGAAGCTCAGATAGATAGACTTATTAATGGTCGTCTCACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGATTCTACACTGGTAAAATTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCATCTAGGATAAATTTCTGTGGTAATGGTAATCATATTATATCATTAGTGCAGAATGCTCCATATGGTTTGTATTTTATCCACTTTAATTATGTCCCTACTAAGTATGTCACAGCGAAGGTTAGTCCTGGTCTGTGCATTGCTGGTAATAGAGGTATAGCTCCTAAGAGTGGTTATTTTGTTAATGTAAATAATACTTGGATGTACACTGGTAGTGGTTACTACTACCCTGAACCTATAACT---GAAAATAATGTTGTTGTTATGAGTACCTGCGCTGTTAATTATACTAAAGCGCCGTATGTAATGCTGAACACTTCAATACCCAACCTTCCTGATTTTAAGGAAGAGTTGGACCAATGGTTCAAAAATCAAACATCAGTGGCACCAGATTTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGTTGAAATGAATAGGTTACAGGAGGCAATAAAAGTCTTAAATCATAGCTACATCAATCTCAAGGACATTGGTACATATGAATATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATCTGCCTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGATACCAGGAGTTAGTAATCAAAACTTCACATGACGAC >IWT_16_S_BBM61117_1_2016_07_Japan_Unknown_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAACGGCTTTTGCTGTTATAGGAGATTTAAAGTGTACT---------------ACAGTTTCCATTAATGATGTTGACACTGGTGTTCCTTCTATTAGCACTGACACTGTCGATGTTACTAATGGTTTAGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACTACGTTGTTGCTTAATGGTTATTACCCTACTTCAGGTTCTACATATCGTAATATGGCACTGAAGGGAACTTTACTATTGAGCACACTGTGGTTTAAACCACCTTTTCTTTCTGATTTTACTAATGGTATTTTTGCTGAGGTCAAAAATACCAAGGTTATT---AAAGATGGTGTAATGTATAGTGAGTTTCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACATACTACCATTTTG------------GGTAATAAATTACAAGGTTTCTTAGAGATCTCTGTTTGCCAGTATACTATGTGTGAGTACCCAAATACGATTTGTAATCCTAATCTGGGTAATCAACGCGTAGAACTATGGCATTGGGATACAGGTGTTGTTTCCTGTTTATATAAGCGTAATTTCACATATGATGTGAACGCTGACTATTTGTATTTCCATTTTTATCAAGAAGGTGGTACTTTTTATGCATATTTTACAGACACTGGTGTTGTTACTAAGTTTCTGTTTAATGTTTATTTAGGCACGGTGCTTTCACATTATTATGTCATGCCTTTGACTTGTAATAGT------------GCTCTGACTTTAGAATATTGGGTTACACCCCTCACTTCTAAACAATATCTACTAGCTTTTAATCAAGATGGTGTTATTTTTAATGCTGTTGATTGTAAGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACTATCTATAGCACCATCTACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAATTGCAGATGTTTACCGACGTATACCTAACCTTCCCGATTGCAATATTGAGGCTTGGCTTAATGATAAGTCAGTGCCCTCTCCATTAAATTGGGAACGTAAGACCTTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCAGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCTATACCCAATGGTAGGAAGGTTGACCTACAATTGGGTAATTTGGGCTATTTGCAGTCTTTTAATTATAGAATTGACACTACTGCTACAAGTTGTCAGTTGTATTATAATTTACCTGCTGCTAATGTTTCTGTTAGCAGGTTTAATCCTTCTACTTGGAATAGGAGATTTGGTTTTACAGAACAATCTGTTTTTAAGCCTCAACCTGCAGGTGTTTTTACTGATCACGATGTTGTTTACGCACAACATTGTTTTAAAGCTCCCACAAATTTCTGTCCTTGCAAATTGGATGGGTCTTTGTGTGTAGGTAGTGGTTCTGGTATAGATGCTGGTTATAAAAATACTGGCATAGGCATTTGTCCTGCAGGTACTAATTATTTAACTTGCCAT------------AATGCTGCCCAATGTGATTGTTTGTGCACTCCAGACCCCATTACATCTAAA---GCTACAGGGCCTCAC---------AAATGCCCCCAAGCTAAATATTTAGTTGGCATAGGTGAGCACTGTTCGGGTCTTGCTATTAAAAGTGACCATTGTGGAGGTAACCCTTGTAGTTGCCAACCACAAGCATTTTTGGGTTGGTCTGTTGACTCTTGTTTACAAGGGGATAGGTGTAATATTTTTGCTAATTTTATTTTGCATGATGTTAATAGTGGTACTACTTGTTCTACTGATTTACAAAAATCAAACACAGACATAATTTTTGGTGTTTGTGTTAATTATGATCTTTATGGTATTACTGGCCAAGGGATTTTTGTTGAGGTAAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAATCTCTACGGTTTCAGAGATTACTTAACAAATAGAACTTTTATGATTCGTAGTTGCTATAGTGGTCGTGTTTCAGCGGCCTTTCATGCTAACTCTTCCGAACCAGCATTGCTATTTCGGAATATCAAATGCAATTACGTTTTTAATAACACTCTTTCACGACAGCTGCAACCTATTAACTAT---TTTGATAGCTATCTTGGTTGTGTTGTCAATGCTGATAATAGTACTTCTAGTGTTGTTCAAACATGTGATCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTACAAAAAGACGAAGTCGTAGGTCGATTACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAACGATAGCTTAGAACCTGTAGGTGGTTTGTATGAAATTCAAATACCTTCAGAGTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCTAAAGTTACTATTGATTGTTCTGCTTTTGTCTGTGGTGATTATGCAGCATGTAAATCGCAGTTGGTTGAATATGGTAGCTTCTGTGACAATATTAATGCTATACTCACAGAAGTAAATGAACTACTTGACACTACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTCACTCTTAGCACTAAGCTTAAAGATGGCGTTAATTTCAATGTAGACGACATCAATTTTTCCCCTGTATTAGGTTGTTTAGGAAGCGATTGCAATAAAGTTTCCAGTAGATCTGCTATAGAGGACTTACTTTTTTCTAAAGTGAAGTTATCTGATGTCGGTTTTGTTGAGGCTTATAATAATTGTACTGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAATGGTATCAAGGTGTTGCCCCCATTGCTCTCAGATAATCAGATCAGTGGTTACACTTTGGCTGCCACCTCTGCTAGCTTGTTTCCTCCATGGTCAGCAGCAGCAGGTGTACCATTCTACTTAAATGTTCAGTATCGTATTAATGGTATTGGTGTTACCATGGATGTGCTAAGTCAAAATCAAAAGCTTATTGCTAATGCATTTAACAATGCTCTTGGTGCTATCCAGGAAGGGTTTGATGCTACCAATTCTGCTTTAGTTAAAATTCAATCTGTTGTTAATGCAAATGCTGACGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTTCTTCTTTACAAGAAATTCTATCTAGACTGGATGCTCTTGAAGCGCAAGCTCAGATAGACAGACTTATTAATGGGCGTCTTACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGACTCTACACTAGTAAAGTTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCATCTAGGATAAATTTTTGTGGTAATGGTAATCATATTATATCATTAGTGCAGAATGCTCCGTATGGTTTGTATTTTATCCACTTTAGCTATGTCCCTACTAAGTATGTCACTGCGAAGGTTAGTCCCGGCCTGTGCATTGCTGGTGCTAGAGGTATAGCCCCTAAGAGTGGTTATTTTGTTAATGTAAATAATACTTGGATGTTCACTGGTAGTGGTTATTACTACCCTGAACCTATAACT---GGAAATAATGTTGTTGTTATGAGTACCTGTGCTGTTAATTATACTAAAGCGCCGGATGTAATGCTGAACATTTCAACACCCAACCTCCCTGATTTTAAGGAAGAGTTGGATCAATGGTTTAAAAACCAAACATCAGTGGCACCAGATTTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGATGAAATGAATAGGTTACAGGAGGCAATAAAAGTTTTAAATCAGAGCTACATCAATCTTAAGGACATTGGTACATATGAGTATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATTGGCTTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGACACCAGGAGTTAGTAATTAAAACATCACATGAAGAC >YC_55_S_AXX83351_1_2015_03_12_China_Unknown_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAACGGCTTTTGCTGTTATAGGAGATTTAAAGTGTCCTTTAGATAGTCGT---ACAGGTAGCCTTAATAATATAGACACCGGTCCTCCTTCTATAAGTACTGCTACTGTTGATGTTACTAATGGTTTGGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACTACGTTGTTTCTTAATGGTTATTACCCTACTTCAGGTTCCACATATCGTAATATGGCACTGAAGGGAACTGACAAATTGAGTACACTATGGTTTAAACCACCATTTCTTTCTGATTTTATTAATGGTATTTTTGCTAAGGTCAAAAACACCAAGGTTTTT---AAAGATGGTGTAATGTATAGTGAGTTCCCTGCTATAACTATAGGTAGTACCTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACGTACAATTAATTCAACACAGGATGGTGTTAATAAATTACAAGGTCTTTTAGAGGTCTCTGTTTGCCAGTATAATATGTGTGAGTACCCACATACGATTTGTCATCCTAATCTGGGTAATCACTTCAAAGAACTATGGCATATGGATACAGGTGTTGTTTCCTGTTTATATAAGCGTAATTTCACATATGATGTGAATGCTACTTATTTGTATTTTCATTTTTATCAAGAAGGTGGTACCTTTTATGCATATTTTACAGACACTGGTGTTGTTACTAAGTTTTTGTTTAATGTTTATTTAGGCATGGCACTTTCACACTATTATGTCATGCCTCTGACTTGTATTAGTAGGCGTAATATTGGTTTTACTTTAGAATATTGGGTTACACCCCTCACTTCTAGACAATATTTACTCGCTTTCAATCAAGATGGTATTATTTTTAATGCTGTTGATTGTATGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACAATCTATAGCACCACCTACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAATTGCAGATGTTTACCGACGCAAACCTGATCTTCCCAATTGCAATATAGAAGCTTGGCTTAATGATAAGTCGGTGCCCTCTCCATTAAATTGGGAACGTAAGACATTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCTGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCTATACCCAATGGCAGGAAGGTTGACCTACAATTGGGTAATTTGGGCTATTTGCAGTCATTTAACTATAGAATTGATACTACTGCAACAAGTTGTCAGTTGTATTATAATTTACCTGCTGCTAATGTTTCTGTTAGTAGGTTTAATCCTTCTACTTGGAATAAGAGATTTGGTTTTATAGAAGATTCTGTTTTTAAACCTCAACCTGCAGGTGTTCTTACCAATCATGATGTAGTTTATGCCCAACATTGTTTTAAAGCTCCTAAAAATTTTTGTCCGTGTAAATCGAATAGTTCTTTGTGTGTAGGTAGTGGTCCTGGT---------------AAAAATAATGGTATAGGCACTTGTCCTGCAGGTACTAATTATTTAACTTGTCAC------------AAT------------------TTGTGCAATCCTGATCCTATTACATTTACA---------GGTCCTTAT---------AAGTGCCCCCAATCTAAATCTTTAGTTGGTATAGGTGAGCACTGTTCAGGTCTTGCTGTTAAAAGTGATTATTGTGGAGGCAATCCTTGCACTTGCCAACCACAAGCATTTTTGGGTTGGTCTGCAGACTCTTGTTTACAAGGGGACAAGTGTAATATTTTTGCTAATTTAATTTTGCATGATGTTAATAGTGGTCTTACTTGTTCTACTGATTTACAAAAAGCTAACACAGACATAAAACTTGGTGTTTGTGTTAATTATGACCTTTATGGTATTTCAGGCCAAGGCATTTTTGTTGAGGTTAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAATCTCTATGGTTTTAGAGACTACATAACAAACAGAACTTTTATGATTCGTAGTTGCTATAGCGGTCGTGTTTCTGCGGCCTTTCACGCTAACTCTTCCGAACCAGCATTGCTATTTCGGAATATTAAATGCAACTACGTTTTTAATAATAGTCTTACACGACAGCTGCAACCCATTAACTAT---TTTGATAGTTATCTTGGTTGTGTTGTCAATGCTTATAATAGTACTGCTATTTCTGTTCAAACATGTGATCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTAAAAACAGACGAAGTCGTAGAGCGATTACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAATGATAGTTTAGAACCTGTAGGTGGTTTGTACGAAATTCAAATACCTTCAGATTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCTAAAGTTACTATTGATTGTGCTGCATTTGTCTGTGGTGATTATGCAGCATGTAAATCACAGTTGGTTGAATATGGTAGTTTCTGTGATAACATTAATGCCATACTCACAGAAGTAAATGAGCTACTTGACACTACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTCACTCTTAGCACTAAGCTTAAAGATGGCGTTAATTTCAATGTAGACGACATCAATTTTTCCTCTGTATTAGGTTGTCTAGGCAGCGAATGTAGTAAAGCTTCCAGTAGATCTGCTATAGAGGATTTACTTTTTGATAAAGTAAAGTTATCTGATGTCGGTTTCGTTGCGGCTTATAATAATTGTACTGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAAAGGTATCAAAGTGTTGCCTCCACTGCTCTCAGAAAATCAGATCAGTGGATACACTTTGGCTGCCACTTCTGCTAGTCTATTTCCTCCTTGGACAGCAGCAGCAGGTGTACCATTTTATTTAAATGTTCAGTATCGCATTAATGGGCTTGGTGTCACCATGGATGTGCTAAGTCAAAATCAAAAGCTTATTGCTAATGCATTTAACAATGCCCTTGATGCTATTCAGGAAGGGTTCGATGCAACTAATTCTGCTTTAGTTAAAATTCAAGCTGTTGTTAATGCAAATGCTGAAGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTTCTTCTTTACAAGAAATTCTATCTAGACTTGATGCTCTTGAAGCGGAAGCTCAGATAGATAGACTTATTAATGGTCGTCTTACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGATTCTACACTGGTAAAATTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCATCTAGGATAAATTTCTGTGGTAATGGTAACCATATTATATCATTAGTGCAGAATGCTCCATATGGTTTGTATTTTATCCACTTTAGTTATGTCCCTACTAAGTATGTCACAGCGAAGGTTAGTCCTGGTCTGTGCATTGCTGGTGATAGAGGTATAGCTCCTAAGAGTGGTTATTTTGTTAATGTAAATAATACTTGGATGTACACTGGTAGTGGTTACTACTACCCTGAACCTATAACT---GAAAATAATGTTGTTGTTATGAGTACATGCGCTGTTAATTATACTAAAGCGCCGTATGTAATGCTGAACACTTCAATACCCAACCTTCCTGATTTTAGGGAAGAGTTGGATCAATGGTTTAAAAATCAAACATCAGTGGCACCAGATTTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGTTGAAATGAATAGGTTACAGGAGGCAATAAAAGTTTTAAATCAGAGCTACATCAATCTCAAGGACATTGGTACATATGAATATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATCTGCCTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGCCTAGTTGTTTTAAGAAATGCGGTGGTTGTTGTGATGATTATACTGGATACCAGGAGTTAGTAATCAAAACTTCACATGACGAC >OC43_human_USA_991_19_1999_S_AGT51511_1_1999_01_15_USA_Human_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAACGGCTTTTGCTGTTATAGGAGATTTAAAGTGTCCTTTAGATACTAGTCTTAAAGGTAGCTTTAATAATAGAGACACCGGTTCTCCTTCTATAAGTACTGATACTGTTGATGTTACTAATGGTTTGGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACTACGTTGTTTCTTAATGGTTATTACCCCACTTCAGGTTCCACATATCGTAATATGGCACTGAAGGGAACTGACAAATTGAGCACATTATGGTTTAAACCACCATTTCTTTCTGATTTTATTAATGGTATTTTTGCTAAGGTCAAAAATACCAAGGTTTTT---AAAGATGGTGTAATGTATAGTGAGTTCCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACGTACAATTAATTCAACACAGGATGGTGTTAATAAATTACAAGGTCTTTTAGAGGTCTCTGTTTGCCAGTATAATATGTGCGAGTACCCACATACGATTTGTCATCCTAAACTGGGTAACCACTTCAAAGAACTATGGCATTTGGATACAGGTGTTGTTTCCTGTTTATATAAGCGTAATTTCACATATGATGTGAATGCTACTTATTTGTATTTTCATTTTTATCAAGAAGGTGGTACTTTTTATGCATATTTTACAGACACTGGTTTTGTTACTAAGTTTTTGTTTAATGTTTATTTAGGCATGGCACTTTCACACTATTATGTCATGCCTCTGACTTGTATTAGTAGGCGTGATATTGGTTTTACTTTAGAATATTGGGTTACACCCCTCACTTCTAGACAATATTTACTCGCTTTCAATCAAGATGGTATTATTTTTAATGCTGTTGATTGTATGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACAATCTATAGCACCACCTACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAATCGCAGATGTTTACCGACGCAAACCTGATCTTCCCAATTGCAATATAGAAGCTTGGCTTAATGATAAGTCGGTGCCCTCTCCATTAAATTGGGAACGTAAGACATTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCTGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCTATACCCAATGGCAGGAAGGTTGACCTACAATTGGGCAATTTGGGCTATTTGCAGTCATCCAACTATAGAATTGATACTACTGCAACAAGTTGTCAGTTGTATTATAATTTACCTGCTGCTAATGTCTCTGTTAGCAGGTTTAATCCTTCTACTTGGAATAAGAGATTTGGTTTTATAGAAGATTCTGTTTTTGTGCCTCAACCTACAGGTGTTTTTACTAATCACAGTGTAGTTTATGCACAACACTGTTTCAAAGCCCCTAAAAATTTCTGTCCGTGTAAATTGAACGGTTCG---TGTCCTGAT---------------------------AAAAATAATGGTATAGGCACTTGTCCTGCAGGTACTAATTATTTAACTTGTGAT------------AAT------------------TTGTGTACTCTTGATCCTATTACATTTAAA---GCTCCAGGTACTTAT---------AAGTGCCCCCAAACTAAATCTTTAGTTGGCATAGGTGAGCACTGTTCGGGTCTTGCTGTTAAAAGTGATTATTGTAGAGGCAATTCTTGTACTTGCCAACCACAAGCATTTTTGGGTTGGTCTGCAGACTCTTGTTTACAAGGAGACAAGTGTAATATTTTTGCTAATCTTATTTTGCATGATGTTAATAGTGGTCTTACTTGTTCTACTGATTTACAAAAAGCTAACACAGACATAATTCTTGGTGTTTGTGTTAATTATGACCTCTATGGTATTTCAGGCCAAGGCATTTTTGTTGAGGTTAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAATCTCTACGGTTTTAGAGACTACATAACAAACAGAACTTTTATGATTCGTAGTTGCTATAGCGGTCGTGTTTCTGCGGCCTTTCATGCTAACTCTTCCGAACCAGCATTGCTATTTCGGAATATTAAATGCAACTACGTTTTTAATAATAGTCTTACACGACAGCTGCAACCCATTAACTATTCGTTTGATAGTTATCTTGGTTGTGTTGTCAATGCTTATAATAGTACTGCTATTTCTGTTCAAACATGTGATCTCACAGTAGGTAGCGGTTACTGTGTGGAGTACTCTAAAAACAGACGAAGTCGTAGAGCGATTACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAATGATAGTTTGGAACCTGTAGGTGGTTTGTATGAAATTCAAATACCTTCAGAGTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCCAAAGTTACTATTGATTGTGCTGCATTTGTCTGTGGTGATTATGCAGCATGTAAATTACAGTTGGTTGAATATGGTAGTTTCTGTGATAACATTAATGCCATACTCACAGAAGTAAATGAACTACTTGATACTACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTTACTCTTAGCACTAAGCTTAAAGATGGTGTTAATTTCAATGTAGACGACATCAATTTTTCCCCTGTATTAGGTTGTCTAGGCAGCGAATGTAGTAAAGCTTCCAGTAGATCTGCTATAGAGGATTTACTTTTTGATAAAGTAAAGTTATCTGATGTCGGTTTCGTTGAGGCTTATAATAATTGTACAGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAAAGGCATCAAAGTGTTGCCCCCACTGCTCTCAGAAAATCAGATCAGTGGATACACTTTGGCTGCCACCTCTGCTAGTCTATTTCCTCCTTGGACAGCAGCAGCAGGTGTACCATTTTATTTAAATGTTCAGTATCGCATTAATGGGCTTGGTGTCACCATGGATGTGCTAAGTCAAAATCAAAAGCTTATTGCTAATGCATTTAACAATGCCCTTTATGCTATTCAGCAAGGGTTCGATGCAACTAATTCTGCTTTAGTTAAAATTCAAGCTGTTGTTAATGCAAATGCTGAAGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTGCTTCTTTACAAGAAATTCTATCTAGACTTGATGCTCTTGAAGCGGAAGCTCAGATAGATAGACTTATTAATGGTCGTCTCACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGATTCTACACTGGTAAAATTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCATCTAGGATAAATTTCTGTGGTAATGGTAATCATATTATATCATTAGTGCAGAATGCTCCATATGGTTTGTATTTTATCCACTTTAATTATGTCCCTACTAAGTATGTCACAGCGAAGGTTAGTCCTGGTCTGTGCATTGCTGGTAATAGAGGTATAGCTCCTAAGAGTGGTTATTTTGTTAATGTAAATAATACTTGGATGTACACTGGTAGTGGTTACTACTACCCTGAACCTATAACT---GAAAATAATGTTGTTGTTATGAGTACCTGCGCTGTTAATTATACTAAAGCGCCGTATGTAATGCTGAACACTTCAATACCCAACCTTCCTGATTTTAAGGAAGAGTTGGATCAATGGTTTAAAAATCAAACATCAGTGGCACCAGATTTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGTTGAAATGAATAGGTTACAGGAGGCAATAAAAGTCTTAAATCATAGCTACATCAATCTCAAGGACATTGGTACATATGAATATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATCTGCCTTGCTGGTGTAGCTATGTTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGATACCAGGAGTTAGTAATCAAAACTTCACATGACGAC >HCoV_OC43_Seattle_USA_SC2269_2016_NA_ARA15421_1_2016_USA_Human_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAACGGCTTTTGCTGTTATAGGAGATTTAAATTGTACTTTAGATCCTAGGCTTAAAGGTAGCTTTAATAATAGAGACACCGGTCCTCCTTCTATAAGTATTGATACTGTTGATGTTACTAATGGTTTGGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACCACGTTGTTTCTTAATGGTTATTACCCCACTTCAGGTTCCACATATCGTAATATGGCACTGAAGGGAACTGACTTATTGAGCACATTATGGTTTAAACCACCATTTCTTTCTGATTTTATTAATGGTATTTTTGCTAAGGTCAAAAATACCAAGGTTTTT---AAAGATGGTGTAATGTATAGTGAGTTCCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACGTACAATTAATTCAACACAGGATGGTGTTAATAAATTACAAGGTCTTTTAGAGGTCTCTGTTTGCCAGTATAATATGTGTGAGTACCCACATACGATTTGTCATCCTAACTTGGGTAACCATTTCAAAGAACTATGGCATTATGATACAGGTGTTGTTTCCTGTTTGTATAAGCGTAATTTCACATATGATGTGAATGCTACTTATTTGTATTTTCATTTTTATCAAGAAGGTGGTACTTTTTATGCATATTTTACAGACACTGGTTTTGTTACTAAGTTTTTGTTTAATGTTTATTTAGGCATGGCACTTTCACACTATTATGTCATGCCTCTGACTTGTATTCGTAGGCCTAAAGACGGTTTTAGTTTAGAATATTGGGTTACACCCCTCACTCCTAGACAATATTTACTCGCTTTCAATCAAGATGGTATTATTTTTAATGCTGTTGATTGTATGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACAATCTATAGCACCACCCACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAGTTGCAGATGTTTACCGACGCAAACCCGATCTTCCCAATTGTAATATAGAAGCTTGGCTTAATGATAAGTCGGTGCCCTCCCCACTAAATTGGGAACGTAAGACATTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCTGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCTATACCCAATCGTAGGAAGGTTGACCTACAATTGGGTAATTTGGGCTATTTGCAGTCATCCAACTATAGAATTGATACTACTGCAACAAGTTGTCAGTTGTATTATAATTTACCTGCTGCTAATGTCTCTGTTAGCAGGTTTAATCCTTCTACTTGGAATAAGAGATTTGGTTTTATAGAAGATTCTGTTTTTGTGCCTCAACCTACAGGTGTTTTTACTAATCACAGTGTAGTTTATGCACAACACTGTTTTAAAGCCCCTAAAAATTTCTGTCCGTGT------------AGTTCCTGTCCTGGT---------------------------AAAAATAATGGTATAGGCACTTGTCCTGCAGGTACTAATTCTTTAACTTGTGAT------------AAT------------------TTATGTACTCTTGATCCTATTACACTTAAA---GCTCCAGATACTTAT---------AAGTGCCCCCAATCTAAATCTTTAGTTGGTATAGGTGAGCACTGTTCGGGTCTTGCTGTTAAAAGTGATTATTGTGGAAACAATTCTTGTACTTGCCAACCACAAGCATTTTTGGGTTGGTCTGCAGACTCTTGTTTACAAGGAGACAAGTGTAATATTTTTGCTAATTTCATTTTGCATGATGTTAATAATGGTCTTACTTGTTCTACTGATTTACAAAAAGCTAACACAGAAATAGAACTTGGTGTTTGTGTTAATTATGACCTCTATGGTATTTCTGGCCAAGGCATTTTTGTTGAGGTTAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAACCTCTACGGTTTTAGAGACTACATAACAAACAGAACTTTTATGATTCATAGTTGCTATAGCGGTCGTGTTTCTGCGGCCTATCATGCCAACTCTTCCGAACCAGCATTGCTATTTCGGAATATTAAATGCAACTACGTTTTTAATAATAGTCTTACACGACAGCTGCAACCCATTAACTATTCGTTTGATAGTTATCTTGGTTGTGTTGTCAATGCTTATAATAGTACTGCTATTTCTGTCCAAACATGTGATCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTAAAAACAGACGAAGTCGTAGAGCGATCACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAATGATAGTTTGGAACCTGTAGGTGGTTTGTATGAAATTCAAATACCTTCAGAGTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCCAAAGTTACTATTGATTGTGCTGCATTTGTCTGTGGTGATTATGCAGCATGTAAATTACAGTTGGTTGAATATGGTAGTTTCTGTGATAACATTAATGCCATACTCACAGAAGTAAATGAACTACTTGATACTACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTTACTCTTAGCACTAAGCTTAAAGATGGTGTTAATTTCAATGTAGACGACATCAATTTTTCCCCTGTATTAGGTTGTCTAGGCAGCGAATGTAGTAAAGCTTCCAGTAGATCTGCTATAGAGGATTTACTTTTTGATAAAGTAAAGTTATCTGATGTCGGTTTCGTTGAGGCTTATAATAATTGTACAGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAAAGGCATCAAAGTGTTGCCTCCACTGCTCTCAGAAAATCAGATCAGTGGATATACTTTGGCTGCCACCTCTGCTAGTCTATTTCCTCCTTGGACAGCAGCAGCAGGTGTACCATTTTATTTAAATGTTCAGTATCGCATTAATGGGCTTGGTGTCACCATGGATGTGCTAAGTCAAAATCAAAAGCTTATTGCTAATGCATTTAACAATGCCCTTCATGCTATTCAGCAAGGGTTCGATGCAACTAATTCTGCTTTAGTTAAAATTCAAGCTGTTGTTAATGCAAATGCTGAAGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTGCTTCTTTACAAGAAATTCTATCTAGACTTGATGCTCTTGAAGCGGAAGCTCAGATAGATAGACTTATTAATGGTCGTCTCACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGATTCTACACTGGTAAAATTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCATCTAGGATAAATTTCTGTGGTAATGGTAATCATATTATATCATTAGTGCAGAATGCTCCATATGGTTTGTATTTTATCCACTTTAATTATGTCCCTACTAAGTATGTCACAGCGAAGGTTAGTCCTGGTCTGTGCATTGCTGGTAATAGAGGTATAGCTCCTAAGAGTGGTTATTTTGTTAATGTAAATAATACTTGGATGTACACTGGTAGTGGTTACTACTACCCTGAACCTATAACT---GAAAATAATGTTGTTGTTATGAGTACCTGCGCTGTTAATTATACTAAAGCGCCGTATGTAATGCTGAACACCTCAATACCCAACCTTCCTGATTTTAAGGAAGAGTTGGACCAATGGTTCAAAAATCAAACATCAGTGGCACTAGATTTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGTTGAAATGAATAGGTTACAGGAGGCAATAAAAGTTTTAAATCATAGCTACATCAATCTCAAGGACATTGGTACATATGAATATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATCTGCCTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGATACCAGGAGTTAGTAATCAAAACTTCACATGACGAC >BJ_124_S_AXX83303_1_2015_05_06_China_Unknown_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAACGGCTTTTGCTGTTATAGGAGATTTAAATTGTACTTTAGATCCTAGGCTTAAAGGTAGCTTTAATAATAGAGACACCGGTCTTCCTTCTATAAGTACTGATACTGTTGATGTTACTAATGGTTTGGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACTACGTTGTTTCTTAATGGTTATTACCCCACTTCAGGTTCCACATATCGTAATATGGCACTGAAGGGAACTGACTTATTGAGCACATTATGGTTTAAACCACCATTTCTTTCTGATTTTATTAATGGTATTTTTGCTAAGGTCAAAAATACCAAGGTTTTT---AAAGATGGTGTAATGTATAGTGAGTTTCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACGTACAATTAATTCAACACAGGATGGTGTTAATAAATTACAAGGTCTTTTAGAGGTCTCTGTTTGCCAGTATAATATGTGTGAGTACCCACATACGATTTGTCATCCTAACTTGGGTAACCATTTCAAAGAACTATGGCATTTGGATACAGGTGTTGTTTCCTGTTTGTATAAGCGTAATTTCACATATGATGTGAATGCTACTTATTTGTATTTTCATTTTTATCAAGAAGGTGGTACTTTTTATGCATATTTTACAGACACTGGTTTTGTTACTAAGTTTTTGTTTAATGTTTATTTAGGCATGGCACTTTCACACTATTATGTCATGCCTCTGACTTGTATTAGAAGGCCTAAAGATGGTTTTAGTTTAGAATATTGGGTTACACCCCTCACTCCTAGACAATATTTACTCGCTTTCAATCAAGATGGTATTATTTTTAATGCTGTTGATTGTATGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACAATCTATAGCACCACCCACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAATTGCAGATGTTTACCGACGCAAACCTGATCTTCCCAATTGTAATATAGAAGCTTGGCTTAATGATAAGTCGGTGCCCTCCCCATTAAATTGGGAACGTAAGACATTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCTGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCTATACCCAATCGCAGGAAGGTTGACCTACAATTGGGTAATTTGGGCTATTTGCAGTCATCCAACTATAGAATTGATACTACTGCAACAAGTTGTCAGTTGTATTATAATTTACCTGCTGCTAATGTCTCTGTTAGCAGGTTTAATCCTTCTATTTGGAATAAGAGATTTGGTTTTATAGAAGATTCTGTTTTTGTGCCTCAACCTACAGGTGTTTTTACTAATCACAGTGTAGTTTATGCACAACACTGTTTTAAAGCCCCTAAAAATTTCTGTCCGTGT------------AGTTCCTGTCCTGGT---------------------------AAAAATAATGGTATAGGCACTTGTCCTGCAGGTACTAATTCTTTAACTTGTGAT------------AAT------------------TTATGTACTCTTGATCCTATTACACTTAAA---GCTCCAGATACTTAT---------AAGTGCCCCCAATCTAAATCTTTAGTTGGTATAGGTGAGCACTGTTCGGGTCTTGCTGTTAAAAGTGATTATTGTGGAAACAATTCTTGTACTTGCCAACCACAAGCATTTTTGGGTTGGTCTGCAGACTCTTGTTTACAAGGAAACAAGTGTAATATTTTTGCTAATTTCATTTTGCATGATGTTAATAATGGTCTTACTTGTTCTACTGATTTACAAAAAGCTAACACAGAAATAGAACTTGGTGTTTGTGTTAATTATGACCTCTATGGTATTTCAGGCCAAGGCATTTTTGTTGAGGTTAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAACCTCTACGGTTTTAGAGACTACATAACAAACAGAACTTTTATGATTCATAGTTGCTATAGCGGTCGTGTTTCTGCGGCCTATCATGCCAACTCTTCCGAACCAGCATTGCTATTTCGGAATATTAAATGCAACTACGTTTTTAATAATAGTCTTACACGACAGCTGCAACCCATTAACTATTCGTTTGATAGTTATCTTGGTTGTGTTGTCAATGCTTATAATAGTACTGCTATTTCTGTCCAAACATGTGATCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTAAAAACAGACGAAGTCGTAGAGCGATCACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAATGATAGTTTGGAACCTGTAGGTGGTTTGTATGAAATTCAAATACCTTCAGAGTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCCAAAGTTACTATTGATTGTGCTGCATTTGTCTGTGGTGATTATGCAGCATGTAAATTACAGTTGGTTGAATATGGTAGTTTCTGTGATAACATTAATGCCATACTCACAGAAGTAAATGAACTACTTGATACTACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTTACTCTTAGCACTAAGCTTAAAGATGGTGTTAATTTCAATGTAGACGACATCAATTTTTCCCCTGTATTAGGTTGTCTAGGCAGCGAATGTAGTAAAGCTTCCAGTAGATCTGCTATAGAGGATTTACTTTTTGATAAAGTAAAGTTATCTGATGTCGGTTTCGTTGAGGCTTATAATAATTGTACAGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAAAGGCATCAAAGTGTTGCCTCCACTGCTCTCAGAAAATCAGATCAGTGGATATACTTTGGCTGCCACCTCTGCTAGTCTATTTCCTCCTTGGACAGCAGCAGCAGGTGTACCATTTTATTTAAATGTTCAGTATCGCATTAATGGGCTTGGTGTCACCATGGATGTGCTAAGTCAAAATCAAAAGCTTATTGCTAATGCATTTAACAATGCCCTTCATGCTATTCAGCAAGGGTTCGATGCAACTAATTCTGCTTTAGTTAAAATTCAAGCTGTTGTTAATGCAAATGCTGAAGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTGCTTCTTTACAAGAAATTATATCTAGACTTGATGCTCTTGAAGCGGAAGCTCAGATAGATAGACTTATTAATGGTCGTCTCACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGATTCTACACTGGTAAAATTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCATCTAGGATAAATTTCTGTGGTAATGGTAATCATATTATATCATTAGTGCAGAATGCTCCATATGGTTTGTATTTTATCCACTTTAATTATGTCCCTACTAAGTATGTCACAGCGAAGGTTAGTCCTGGTCTGTGCATTGCTGGTAATAGAGGTATAGCTCCTAAGAGTGGTTATTTTGTTAATGTAAATAATACTTGGATGTACACTGGTAGTGGTTACTACTACCCTGAACCTATAACT---GAAAATAATGTTGTTGTTATGAGTACCTGCGCTGTTAATTATACTAAAGCGCCGTATGTAATGCTGAACACTTCAATACCCAACCTTCCTGATTTTAAGGAAGAGTTGGACCAATGGTTCAAAAATCAAACATCAGTGGCACCAGATTTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGTTGAAATGAATAGGTTACAGGAGGCAATAAAAGTTTTAAATCATAGCTACATCAATCTCAAGGACATTGGTACATATGAATATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATCTGCCTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGATACCAGGAGTTAGTAATCAAAACTTCACATGACGAC >5240_2007_S_AIV41807_1_2007_05_China_Human_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAACGGCTTTTGCTGTTATAGGAGATTTAAATTGTCCTTTAGATCCTAGGCTTAAAGGTAGCTTTAATAATAGAGACACCGGTCCTCCTTCTATAAGTACTGATACTGTTGATGTTACTAATGGTTTGGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACTACGTTGTTTCTTAATGGTTATTACCCCACTTCAGGTTCCACATATCGTAATATGGCACTGAAGGGAACTGACAAATTGAGCACATTATGGTTTAAACCACCATTTCTTTCTGATTTTATTAATGGTATTTTTGCTAAGGTCAAAAATACCAAGGTTTTT---AAAGATGGTGTAATGTATAGTGAGTTCCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACGTACAATTAATTCAACACAGGATGGTGTTAATAAATTACAAGGTCTTTTAGAGGTCTCTGTTTGCCAGTATAATATGTGTGAGTACCCACATACGATTTGTCATCCTAAATTGGGTAACCATTTCAAAGAACTATGGCATTTGGATACAGGTGTTGTTTCCTGTTTGTATAAGCGTAATTTCACATATGATGTGAATGCTACTTATTTGTATTTTCATTTTTATCAAGAAGGTGGTACTTTTTATGCATATTTTACAGACACTGGTTTTGTTACTAAGTTTTTGTTTAATGTTTATTTAGGCATGGCACTTTCACACTATTATGTCATGCCTCTGACTTGTATTAGTAGGCTTGATATTGGTTTTACTTTAGAATATTGGGTTACACCCCTCACTCCTAGACAATATTTACTCGCTTTCAATCAAGATGGTATTATTTTTAATGCTGTTGATTGTATGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACAATCTATAGCACCACCCACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAATTGCAGATGTTTACCGACGCAAACCTGATCTTCCCAATTGCAATATAGAAGCTTGGCTTAATGATAAGTCGGTGCCCTCTCCATTAAATTGGGAACGTAAGACATTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCTGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCTATACCCAATCGCAGGAAGGTTGACCTACAATTGGGCAATTTGGGCTATTTGCAGTCATCCAACTATAGAATTGATACTACTGCAACAAGTTGTCAGTTGTATTATAATTTACCTGCTGCTAATGTCTCTGTTAGCAGGTTTAATCCTTCTACTTGGAATAAGAGATTTGGTTTTATAGAAGATTCTGTTTTTGTGCCTCAACCTACAGGTGTTTTTACTAATCACAGTGTAGTTTATGCACAACACTGTTTTAAAGCCCCTAAAAATTTCTGTCCGTGT---------AGT---TCCTGTCCTGGT---------------------------AAAAACAATGGTATAGGCACTTGTCCTGCAGGTACTAATTATTTAACTTGTGAT------------AAT------------------TTATGTACTCTTGATCCTATTACATTTAAA---GCTCCAGATACTTAT---------AAGTGCCCCCAAACTAAATCTTTAGTTGGTATAGGTGAGCACTGTTCGGGTCTTGCTGTTAAAAGTGATTATTGTGGAAACAATTCTTGTACTTGCCAACCACAAGCATTTTTGGGTTGGTCTGCAGACTCTTGTTTACAAGGAGACAAGTGTAATATTTTTGCTAATTTCATTTTGCATGATGTTAATAATGGTCTTACTTGTTCTACTGATTTACAAAAAGCTAACACAGAAATAGAACTTGGTGTTTGTGTTAATTATGACCTCTATGGTATTTCAGGCCAAGGCATTTTTGTTGAGGTTAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAACCTCTACGGTTTTAGAGACTACATAACAAACAGAACTTTTATGATTCATAGTTGCTATAGCGGTCGTGTTTCTGCGGCCTATCATGCCAACTCTTCCGAACCAGCATTGCTATTTCGGAATATTAAATGCAACTACGTTTTTAATAATAGTCTTACACGACAGCTGCAACCCATTAACTATTCGTTTGATAGTTATCTTGGTTGTGTTGTCAATGCTTATAATAGTACTGCTATTTCTGTTCAAACATGTGATCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTAAAAACAGACGAAGTCGTAGAGCGATCACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAATGATAGTTTGGAACCTGTAGGTGGTTTGTATGAAATTCAAATACCTTCAGAGTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCCAAAGTTACTATTGATTGTGCTGCATTTGTCTGTGGTGATTATGCAGCATGTAAATTACAGTTGGTTGAATATGGTAGTTTCTGTGATAACATTAATGCCATACTCACAGAAGTAAATGAACTACTTGATACTACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTTACTCTTAGCACTAAGCTTAAAGATGGTGTTAATTTCAATGTAGACGACATCAATTTTTCCCCTGTATTAGGTTGTCTAGGCAGCGAATGTAGTAAAGCTTCCAGTAGATCTGCTATAGAGGATTTACTTTTTGATAAAGTAAAGTTATCTGATGTCGGTTTCGTTGAGGCTTATAATAATTGTACAGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAAAGGCATCAAAGTGTTGCCTCCACTGCTCTCAGAAAATCAGATCAGTGGATATACTTTGGCTGCCACCTCTGCTAGTCTATTTCCTCCTTGGACAGCAGCAGCAGGTGTACCATTTTATTTAAATGTTCAGTATCGCATTAATGGGCTTGGTGTCACCATGGATGTGCTAAGTCAAAATCAAAAGCTTATTGCTAATGCATTTAACAATGCCCTTCATGCTATTCAGCAAGGGTTCGATGCAACTAATTCTGCTTTAGTTAAAATTCAAGCTGTTGTTAATGCAAATGCTGAAGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTGCTTCTTTACAAGAAATTCTATCTAGACTTGATGCTCTTGAAGCGGAAGCTCAGATAGATAGACTTATTAATGGTCGTCTCACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGATTCTACACTGGTAAAATTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCATCTAGGATAAATTTCTGTGGTAATGGTAATCATATTATATCATTAGTGCAGAATGCTCCATATGGTTTGTATTTTATCCACTTTAATTATGTCCCTACTAAGTATGTCACAGCGAAGGTTAGTCCTGGTCTGTGCATTGCTGGTAATAGAGGTATAGCTCCTAAGAGTGGTTATTTTGTTAATGTAAATAATACTTGGATGTACACTGGTAGTGGTTACTACTACCCTGAACCTATAACT---GAAAATAATGTTGTTGTTATGAGTACCTGCGCTGTTAATTATACTAAAGCGCCGTATGTAATGCTGAACACTTCAATACCCAACCTTCCTGATTTTAAGGAAGAGTTGGACCAATGGTTCAAAAATCAAACATCAGTGGCACCAGATTTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGTTGAAATGAATAGGTTACAGGAGGCAATAAAAGTCTTAAATCATAGCTACATCAATCTCAAGGACATTGGTACATATGAATATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATCTGCCTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGATACCAGGAGTTAGTAATCAAAACTTCACATGACGAC >SHG_4_S_BBM61227_1_2015_10_Japan_Unknown_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAACGGCTTTTGCTGTTATAGGAGATTTAAAGTGTACT---------------ACAGTTTCCATTAATGATGTTGACACTGGTGTTCCTTCTATTAGCACTGATACTGTCGATGTTACTAATGGTTTAGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACTACGTTGTTGCTTAATGGTTATTACCCTACTTCAGGTTCTACATATCGTAATATGGCACTGAAGGGAACTTTACTATTGAGCACACTGTGGTTTAAACCACCTTTTCTTTCTGATTTTACTAATGGTATTTTTGCTAAGGTCAAAAATACCAAGGTTATT---AAAGATGGTGTAATGTATAGTGAGTTTCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACATACTACCATTTTG------------GGTAATAAATTACAAGGTTTCTTAGAGATCTCTGTTTGCCAGTATACTATGTGTGAGTACCCAAATACGATTTGTAATCCTAATCTGGGTAATCAACGCGTAGAACTATGGCATTGGGATACAGGTGTTGTTTCCTGTTTATATAAGCGTAATTTCACATATGATGTGAACGCTGACTATTTGTATTTCCATTTTTATCAAGAAGGTGGTACTTTTTATGCATATTTTACAGACACTGGTGTTGTTACTAAGTTTCTGTTTAATGTTTATTTAGGCACGGTGCTTTCACATTATTATGTCATGCCTTTGACTTGTAATAGT------------GCTCTGACTTTAGAATATTGGGTTACACCCCTCACTTCTAAACAATATCTACTAGCTTTTAATCAAGATGGTGTTATTTTTAATGCTGTTGATTGTAAGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACTATCTATAGCACCATCTACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAATTGCAGATGTTTACCGACGTATACCTAACCTTCCCGATTGCAATATTGAGGCTTGGCTTAATGATAAGTCAGTGCCCTCTCCATTAAATTGGGAACGTAAGACCTTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCAGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCTATACCCAATGGTAGGAAGGTTGACCTACAATTGGGTAATTTGGGCTATTTGCAGTCTTTTAATTATAGAATTGACACTACTGCTACAAGTTGTCAGTTGTATTATAATTTACCTGCTGCTAATGTTTCTGTTAGCAGGTTTAATCCTTCTACTTGGAATAGGAGATTTGGTTTTACAGAACAATCTGTTTTTAAGCCTCAACCTGCAGGTGTTTTTACTGATCACGATGTTGTTTACGCACAACATTGTTTTAAAGCTCCCACAAATTTCTGTCCTTGCAAATTGGATGGGTCTTTGTGTGTAGGTAGTGGTTCTGGTATAGATGCTGGTTATAAAAATACTGGCATAGGCATTTGTCCTGCAGGTACTAATTATTTAACTTGCCAT------------AATGCTGCCCAATGTGATTGTTTGTGCACTCCAGACCCCATTACATCTAAA---GCTACAGGGCCTCAC---------AAATGCCCTCAAGCTAAATATTTAGTTGGCATAGGTGAGCACTGTTCGGGTCTTGCTATTAAAAGTGACCATTGTGGAGGTAACCCTTGTAGTTGCCAACCACAAGCATTTTTGGGTTGGTCTGTTGACTCTTGTTTACAAGGGGATAGGTGTAATATTTTTGCTAATTTTATTTTGCATGATGTTAATAGTGGTACTACTTGTTCTACTGATTTACAAAAATCAAACACAGACATAATTCTTGGTGTTTGTGTTAATTATGATCTTTATGGTATTACTGGCCAAGGGATTTTTGTTGAGGTAAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAATCTCTACGGTTTCAGAGATTACTTAACAAATAGAACTTTTATGATTCGTAGTTGCTATAGTGGTCGTGTTTCAGCGGCCTTTCATGCTAACTCTTCCGAACCAGCATTGCTATTTCGGAATATCAAATGCAATTACGTTTTTAATAACACTCTTTCACGACAGCTGCAACCTATTAACTAT---TTTGATAGCTATCTTGGTTGTGTTGTCAATGCTGATAATAGTACTTCTAGTGTTGTTCAAACATGTGATCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTACAAAAAGACGAAGTCGTAGGTCGATTACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAACGATAGCTTAGAACCTGTAGGTGGTTTGTATGAAATTCAAATACCTTCAGAGTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCTAAAGTTACTATTGATTGTTCTGCTTTTGTCTGTGGTGATTATGCAGCATGTAAATCGCAGTTGGTTGAATATGGTAGCTTCTGTGACAATATTAATGCTATACTCACAGAAGTAAATGAACTACTTGACACTACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTCACTCTTAGCACTAAGCTTAAAGATGGCGTTAATTTCAATGTAGACGACATCAATTTTTCCCCTGTATTAGGTTGTTTAGGAAGCGATTGCAATAAAGTTTCCAGTAGATCTGCTATAGAGGACTTACTTTTTTCTAAAGTAAAGTTATCTGATGTCGGTTTTGTTGAGGCTTATAATAATTGTACTGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAATGGTATCAAGGTGTTGCCCCCATTGCTCTCTGAAAATCAGATCAGTGGTTACACTTTGGCTGCCACCTCTGCTAGCTTGTTTCCTCCATGGTCAGCAGCAGCAGGTGTACCATTCTACTTAAATGTTCAGTATCGTATTAATGGTATTGGTGTTACCATGGATGTGCTAAGTCAAAATCAAAAGCTTATTGCTAATGCATTTAACAATGCTCTTGGTGCTATCCAGGAAGGGTTTGATGCTACCAATTTTGCTTTAGTTAAAATTCAATCTGTTGTTAATGCAAATGCTGACGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTTCTTCTTTACAAGAAATTCTATCTAGACTGGATGCTCTTGAAGCGCAAGCTCAGATAGACAGACTTATTAATGGGCGTCTTACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGACTCTACACTAGTAAAGTTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCATCTAGGATAAATTTTTGTGGTAATGGTAATCATATTATATCATTAGTGCAGAATGCTCCGTATGGTTTGTATTTTATCCACTTTAGCTATGTCCCTACTAAGTATGTCACTGCGAAGGTTAGTCCCGGCCTGTGCATTGCTGGTGATAGAGGTATAGCCCCTAAGAGTGGTTATTTTGTTAATGTAAATAATACTTGGATGTTCACTGGTAGTGGTTATTACTACCCTGAACCTATAACT---GGAAATAATGTTGTTGTTATGAGTACCTGTGCTGTTAATTATACTAAAGCGCCGGATGTAATGCTGAACATTTCAACACCCAACCTCCCTGATTTTAAGGAAGAGTTGGATCAATGGTTTAAAAACCAAACATCAGTGGCACCAGATTTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGATGAAATGAATAGGTTACAGGAGGCAATAAAAGTTTTAAATCAGAGCTACATCAATCTTAAGGACATTGGTACATATGAGTATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATTGGCTTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGACACCAGGAGTTAGTAATTAAAACATCACATGAAGAC >MY_U413_12_S_AQN78680_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAACGGCTTTTGCTGTTATAGGAGATTTAAATTGTCCTTTAGATCCTAAGCTTAAAGGTAGCTTTAATAATAGAGACACCGGTCCTCCTTCTATAAGTACTGATACTGTTGATGTCACTAATGGTTTGGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACTACGTTGTTTCTTAATGGTTATTACCCCACTTCAGGTTCCACATATCGTAATATGGCACTGAAGGGAACTGACTTATTGAGCAAATTATGGTTTAAACCACCATTTCTTTCTGATTTTATTAATGGTATTTTTGCTAAGGTCAAAAATACCAAGGTTTTTGGCAAAGATGGTGTAATGTATAGTGAGTTCCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACGTACAATTAATTCAACACAGGATGGTGTTAATAAATTACAAGGTCTTTTAGAGGTCTCTGTTTGCCAGTATAATATGTGTGAGCACCCACATACGAGTTGTCATCCTAATTTGGGTAACCATTTCAAAGAACTATGGCATTTGGATACAGGTGTTGTTTCTTGTTTGTATAAGCGTAATTTCACATATGATGTGAATGCTACTTATTTGTATTTTCATTTTTATCAAGAAGGTGGTACTTTTTATGCATATTTTACAGACACTGGTTTTGTTACTAAGTTTTTGTTTAATGTTTATTTAGGCATGGCACTTTCACACTATTATGTCATGCCTCTGACTTGTATTAGTAGGCGTGATATTGGTTTTACTTTAGAATATTGGGTTACACCCCTCACTCCTAGACAATATTTACTCGCTTTCAATCAAGATGGTATTATTTTTAATGCTGTTGATTGTATGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACAATCTATAGCACCACCCACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAATTGCAGATGTTTACCGACGCAAACCTGACCTTCCCAATTGCAATATAGAAGCTTGGCTTAATGATAAGTCGGTGCCCTCTCCATTAAATTGGGAACGTAAGACATTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCTGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCTATACCCAATCGCAGGAAGGTTGACCTACAATTGGGCAATTTGGGCTATTTGCAGTCATCCAACTATAGAATTGATACTACTGCAACAAGTTGTCAGTTGTATTATAATTTACCTGCTGCTAATGTCTCTGTTAGCAGGTTTAATCCTTCTACTTGGAATAAGAGATTTGGTTTTATAGAAGATTCTGTTTTTGTGCCTCAACCTACAGGTGTTTTTACTAATCACAGTGTAGTTTATGCACAACACTGTTTTAAAGCCCCTAAAAATTTCTGTCCGTGT---------AGT---TCCTGTCCTGGT---------------------------AAAAATAATGGTATAGGCACTTGTCCTGCAGGTACTAATTATTTAACTTGTGAT------------AAT------------------TTATGTACTCTTGATCCTATTACATTTAAA---GCTCCAGATACTTAT---------AAGTGCCCCCAAACTAAATCTTTAGTTGGTATAGGTGAGCACTGTTCGGGTCTTGCTGTTAAAAGTGATTATTGTGGAAACAATTCTTGTACTTGCCAACCACAAGCATTTTTGGGTTGGTCTGCAGACTCTTGTTTACAAGGAGACAAGTGTAATATTTTTGCTAATTTCATTTTGCATGATGTTAATAATGGTCTTACTTGTTCTACTGATTTACAAAAAGCTAACACAGAAATAGAACTTGGTGTTTGTGTTAATTATGACCTCTATGGTATTTCAGGCCAAGGCATTTTTGTTGAGGTTAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAACCTCTACGGTTTTAGAGACTACATAACAAACAGAACTTTTATGATTCATAGTTGCTATAGCGGTCGTGTTTCTGCGGCCTATCATGCCAACTCTTCCGAACCAGCATTGCTATTTCGGAATATTAAATGCAACTACGTTTTTAATAATAGTCTTACACGACAGCTGCAACCCATTAACTATTCGTTTGATAGTTATCTTGGTTGTGTTGTCAATGCTTATAATAGTACTGCTATTTCTGTTCAAACATGTGATCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTAAAAACAGACGAAGTCGTAGAGCGATCACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAATGATAGTTTGGAACCTGTAGGTGGTTTGTATGAAATTCAAATACCTTCAGAGTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCCAAAGTTACTATTGATTGTGCTGCATTTGTCTGTGGTGATTATGCAGCATGTAAATTACAGTTGGTTGAATATGGTAGTTTCTGTGATAACATTAATGCCATACTCACAGAAGTAAATGAACTACTTGATACCACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTTACTCTTAGCACTAAGCTTAAAGATGGTGTTAATTTCAATGTAGACGACATCAATTTTTCCCCTGTATTAGGTTGTCTAGGCAGCGAATGTAGTAAAGCTTCCAGTAGATCTGCTATAGAGGATTTACTTTTTGATAAAGTAAAGTTATCTGATGTCGGTTTCGTTGAGGCTTATAATAATTGTACAGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAAAGGCATCAAAGTGTTGCCTCCACTGCTCTCAGAAAATCAGATCAGTGGATATACTTTGGCTGCCACCTCTGCTAGTCTATTTCCTCCTTGGACAGCAGCAGCAGGTGTACCATTTTATTTAAATGTTCAGTATCGCATTAATGGGCTTGGTGTCACCATGGATGTGCTAAGTCAAAATCAAAAGCTTATTGCTAATGCATTTAACAATGCCCTTCATGCTATTCAGCAAGGGTTCGATGCAACTAATTCTGCTTTAGTTAAAATTCAAGCTGTTGTTAATGCAAATGCTGAAGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTGCTTCTTTACAAGAAATTCTATCTAGACTTGATGCTCTTGAAGCTGAAGCTCAGATAGATAGACTTATTAATGGTCGTCTCACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGATTCTACACTGGTAAAATTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCATCTAGGATAAATTTCTGTGGTAATGGTAATCATATTATATCATTAGTGCAGAATGCTCCATATGGTTTGTATTTTATCCACTTTAATTATGTCCCTACTAAGTATGTCACAGCGAAGGTTAGTCCTGGTCTGTGCATTGCTGGTAATAGAGGTATAGCTCCTAAGAGTGGTTATTTTGTTAATGTAAATAATACTTGGATGTACACTGGTAGTGGTTACTACTACCCTGAACCTATAACT---GAAAATAATGTTGTTGTTATGAGTACCTGCGCTGTTAATTATACTAAAGCGCCGTATGTAATGCTGAACACTTCAATACCCAACCTTCCTGATTTTAAGGAAGAGTTGGACCAATGGTTCAAAAATCAAACATCAGTGGCACCACTTTTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGTTGAAATGAATAGGTTACAGGAGGCAATAAAAGTCTTAAATCATAGCTACATCAATCTCAAGGACATTGGTACATATGAATATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATCTCCCTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGATACCAGGAGTTAGTAATCAAAACTTCACATGACGAC >TCG_6_S_BBM61377_1_2007_12_Japan_Unknown_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAACGGCTTTTGCTGTTATAGGAGATTTAAAGTGTACT---------------ACAGTTTCCATTAATGATGTTGACACTGGTGTTCCTTCTATTAGCACTGATACTGTCGATGTTACTAATGGTTTAGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACTACGTTGTTGCTTAATGGTTATTACCCTACTTCAGGTTCTACATATCGTAATATGGCACTGAAGGGAACTTTACTATTGAGCACACTGTGGTTTAAACCACCTTTTCTTTCTGATTTTACTAATGGTATTTTTGCTAAGGTCAAAAATACCAAGGTTATT---AAAGATGGTGTAATGTATAGTGAGTTTCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCATATAGTGTGGTAGTACAACCACATACTACCATTTTG------------GGTAATAAATTACAAGGTTTCTTAGAGATCTCTGTTTGCCAGTATACTATGTGCGAGTACCCAAATACGATTTGTAATCCTAATCTGGGTAATCAACGCGTAGAACTATGGCATTGGGATACAGGTGTTGTTTCCTGTTTATATAAGCGTAATTTCACATATGATGTGAATGCTGATTATTTGTATTTCCATTTTTATCAAGAAGGTGGTACCTTTTATGCATATTTTACAGACACTGGTGTTGTTACTAAGTTTCTATTTAATGTTTATTTAGGCACGGTGCTTTCACATTATTATGTCATGCCTTTGACTTGTAATAGT------------GCTCTGACTTTAGAATATTGGGTTACACCCCTCACTTCTAAACAATATCTACTAGCTTTCAATCAAGATGGTGTTATTTTTAATGCTGTTGATTGTAAGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACTATCTATAGCACCATCTACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAATTGCAGACGTTTACCGACGTATACCTAATCTTCCCGATTGCAATATTGAGGCTTGGCTTAATGATAAGTCGGTGCCCTCTCCATTAAATTGGGAACGTAAGACCTTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCTGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCTATACCCAATGGTAGGAAGGTTGACCTACAATTGGGTAATTTGGGCTATTTGCAGTCTTTTAATTATAGAATTGATACTACTGCTACAAGTTGTCAGTTGTATTATAATTTACCTGCTGCTAATGTTTCTGTTAGCAGGTTTAATCCTTCTACTTGGAATAGGAGATTTGGTTTTACAGAACAATCTGTTTTTAAGCCTCAACCTGCAGGTGTTTTTACTGATCATGATGTTGTTTATGCACAACATTGTATTAAAGCTCCCACAAATTTCTGTCCTTGTAAATTGGATGGGTCTTTGTGTGTAGGTAATGGTTTTGGTATAGATGCTGGTTATAAAAATACTGGCATAGGCACTTGTCCTGCAGGTACTAATTATTTAACTTGCCAT------------AATGCTGCCCAATGTGATTGTTTGTGCACCCCAGACCCCATTACATCTAAA---GCTACAGGGCCTCAC---------AAATGCCCCCAAACTAAATATTTAGTTGGCATAGGTGAGCACTGTTCGGGTCTTGCTATTAAAAGTGATCATTGTGGAGGTAACCCTTGTAGTTGCCAACCACAAGCATTTTTGGGTTGGTCTGTTGACTCTTGTTTACAAGGGGATAGGTGTAATATTTTTGCTAATTTTATTTTGCATGATGTTAATAGTGGTACTACTTGTTCTACTGATTTACAAAAATCAAACACAGACATAATTCTTGGTGTTTGTGTTAATTATGATCTTTATGGTATTACTGGCCAAGGGATTTTTGTCGAGGTTAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAATCTCTACGGTTTTAGAGATTACTTAACAAATAGAACTTTTATGATTCGTAGTTGCTATAGTGGTCGTGTTTCAGCGGCCTTTCATGCTAACTCTTCCGAACCAGCATTGCTATTTCGGAATATCAAATGCAATTACGTTTTTAATAACACTCTTTCACGACAGCTGCAACCTATTAACTAT---TTTGATAGCTATCTTGGTTGTGTTGTCAATGCTGATAATAGTACTTCTAGTGTTGTTCAAACATGTGATCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTACAAAAAGACGAAGTCGTAGATCGATTACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAATGATAGCTTAGAACCTGTAGGTGGTTTGTATGAAATTCAAATACCTTCAGAGTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCTAAAGTTACTATTGATTGTTCTGCTTTTGTCTGTGGTGATTATGCAGCATGTAAATCACAGTTGGTTGAATATGGTAGCTTCTGTGACAATATTAATGCTATACTCACAGAAGTAAATGAACTACTTGACACTACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTCACTCTTAGCACCAAGCTTAAAGATGGCGTTAATTTCAATGTAGACGACATCAATTTTTCCCCTGTATTAGGTTGTTTAGGAAGCGATTGCAATAAAGTTTCCAGTAGATCTGCTATAGAGGACTTACTTTTTTCTAAAGTAAAGTTATCTGATGTCGGTTTCGTTGAGGCTTATAATAATTGTACTGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAATGGTATCAAGGTGTTGCCTCCACTGCTCTCACAAAATCAGATCAGTGGTTACACTTTGGCTGCCACCTCTGCTAGCCTGTTTCCTCCATGGTCAGCAGCAGCAGGTGTACCATTCTATTTAAATGTTCAGTATCGTATTAATGGTATTGGTGTTACCATGGATGTGCTAAGTCAAAATCAAAAGCTTATTGCTAATGCATTTAACAATGCTCTTGGTGCTATCCAGGAAGGGTTTGATGCTACCAATTCTGCTTTAGTTAAAATTCAAGCTGTTGTTAATGCAAATGCTGAAGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTTCTTCTTTACAAGAAATTCTATCTAGACTGGATGCTCTTGAAGCGCAAGCTCAGATAGACAGACTTATTAATGGGCGTCTTACCGCTCTTAATGCCTATGTTTCTCAACAGCTTAGTGACTCTACACTAGTAAAGTTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTTAAAAGCCAATCATCTAGGATAAATTTTTGTGGTAATGGTAATCATATTATATCATTAGTGCAGAATGCTCCGTATGGTTTGTATTTTATCCACTTTAGCTATGTCCCTACTAAGTATGTCACAGCGAAGGTTAGTCCCGGTCTGTGCATTGCTGGTGGTAGAGGTATAGCCCCTAAGAGTGGTTATTTTGTTAATGTAAATAACTCTTGGATGTTCACTGGTAGTGGTTATTACTACCCTGAACCTATAACT---GGAAATAATGTTGTTGTTATGAGTACCTGTGCTGTTAATTATACTAAAGCGCCGGATGTAATGCTGAACATTTCAACACCCAACCTCCCTGATTTTAAGGAAGAGTTGGATCAATGGTTTAAAAACCAAACATCAGTGGCACCAGATTTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGATGAAATGAATAGGTTACAGGAGGCAATAAAAGTTTTAAATCAGAGTTACATCAATCTCAAGGACATTGGTACATATGAGTATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATTGGCTTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGACACCAGGAGTTAGTAATTAAAACATCACATGAAGAC >DB2_NA_ABG89288_1_1983_NA_Cattle_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAACGGCTTTTGCTGTTATAGGAGATTTAAAGTGTACT---------------ACAGTTTCCATTAATGATGTTGACACTGGTGTTCCTTCTATTAGCACTGATACTGTCGATGTTACTAATGGTTTAGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACTACGTTGTTGCTTAATGGTTACTACCCTACTTCAGGTTCTACATATCGTAATATGGCACTGAAGGGAACTTTACTATTGAGCACACTATGGTTTAAACCACCTTTTCTTTCTGATTTTACTAATGGTATTTTTGCTAAGGTCAAAAATACCAAGGTTATT---AAAAATGGTGTAATGTATAGTGAGTTTCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACATACTACCAATTTG------------GATAATAAATTACAAGGTCTCTTAGAGATCTCTGTTTGCCAGTATACTATGTGCGAGTACCCAAATACGATTTGTCATCCTACTCTGGGTAATCAACGCGTAGAACTATGGCATTGGGATACAGGTGTTGTTTCCTGTTTATATAAGCGTAATTTCACATATGATGTGAATGCTGATTACTTGTATTTCCATTTTTATCAAGAAGGTGGTACTTTTTATGCATATTTTACAGACACTGGTGTTGTTACTAAGTTTCTGTTTAATGTTTATTTAGGCACGGTGCTTTCACATTATTATGTCATGCCTTTGACTTGTGATAGT------------GCTATGACTTTAGAATATTGGGTTACACCCCTCACTTCTAAACAATATCTACTAGCTTTCAATCAAGATGGTGTTATTTTTAATGCTGTTGATTGTAAGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACTATCTATAGCACCATCTACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAATTGCAGATGTTTACCGACGTATACCTAATCTTCCCGATTGTAATATTGAGGCTTGGCTTAATGATAAGTCGGTGCCCTCTCCATTAAATTGGGAACGTAAGACCTTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCTGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCTATACCCAATGGTAGGAAGGTTGACCTACAATTGGGTAATTTGGGCTATTTGCAGTCTTTTAATTATAGAATTGATACTACTGCTACAAGTTGTCAGTTGTATTATAATTTACCTGCTGCTAATGTTTCTGTTAGCAGGTTTAATCCTTCTACTTGGAATAGGAGATTTGGTTTTACAGAACAATCTGTTTTTAAGCCTCAACCTGCAGGTGTTTTTACTGCTCATGATGTTGTTTATGCACAACATTGTTTTAAAGCTCCCACAAATTTCTGTCCGTGTAAATTGGATGGGTCTTTGTGTGTAGGTAATGGTCCTGGTATAGATGCTGGTTATAAAACTAGTGGCATAGGCACTTGTCCTGCAGGTACTAATTATTTAACTTGCCAT------------AATGCTGCCCAATGTGATTGTTTGTGCACTCCAGACCCCATTTCATCTAAA---GCTACAGGGCCTTAC---------AAGTGCCCCCAAACTAAATATTTAGTTGGCATAGGTGAGCACTGTTCGGGTCTTGCTATTAAAAGTGATTATTGTGGAGGTAATCCTTGTACTTGCCAACCACAAGCATTTTTGGGTTGGTCTGTTGACTCTTGTTTACAAGGGGATAGGTGTAATATTTTTGCTAATTTTATTTTGCATGATGTTAATAGTGGTACTACTTGTTCTACTGATTTACAAAAATCAAACACAGACATAATTCTTGGTGTTTGTGTTAATTATGATCTTTATGGTATTACTGGCCAAGGTATTTTTGTTGAGGTTAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAATCTCTATGGTTTTAGAGACTACTTAACAAATAGAACTTTTATGATTCGTAGTTGCTATAGCGGTCGTGTTTCAGCGGCCTTTCATGCTAACTCTTCCGAACCAGCATTGCTATTTCGGAATATTAAATGCAATTACGTTTTTAATAATACTCTTTCACGACAGCTGCAACCTATTAACTAT---TTTGATAGCTATCTTGGTTGTGTTGTCAATGCTGATAATAGTACTTCTAGTGTTGTTCAAACATGTGATCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTACAAAAAGACGAAGTCGTAGATCGATTACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAATGATAGTTTACAACCTGTAGGTGGTTTGTATGAAATTCAAATACCTTCAGAGTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCTAAAGTTACTATTGATTGTTCTGCTTTTGTCTGTGGTGATTATGCAGCATGTAAATCACAGTTGGTTGAATATGGTAGCTTCTGTGACAATATTAATGCTATACTCACAGAAGTAAATGAATTACTTGACACTACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTCACTCTTAGCACTAAGCTTAAAGATGGCGTTAATTTCAATGTAGACGACATCAATTTTTCCCCTGTATTAGGTTGTTTAGGAAGCGATTGCAATAAAGTTTCCAGTAGATCTGCTATAGAGGACTTACTTTTTTCTAAAGTAAAGTTATCTGATGTCGGTTTCGTTGAGGCTTATAATAATTGTACTGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAATGGTATCAAGGTGTTGCCTCCACTGCTCTCAGAAAATCAGATCAGTGGATACACTTTGGCTGCCACCTCTGCTAGTCTGTTTCCTCCTTGGTCAGCAGCAGCAGGTGTACCATTTTATTTAAATGTTCAGTATCGTATTAATGGGATTGGTGTTACCATGGATGTGCTAAGTCAAAATCAAAAGCTTATTGCTAATGCATTTAACAATGCTCTTGGTGCTATTCAGGAAGGGTTTGATGCTACCAATTCTGCTTTAGTTAAAATTCAAGCTGTTGTTAATGCAAATGCTGAAGCTCTTAATAACTTATTGCAACAACTCTCTAATAGGTTTGGTGCTATAAGCTCTTCTTTACAAGAAATTCTATCTAGACTGGATGCTCTTGAAGCGCAAGCTCAGATAGACAGACTTATTAATGGGCGTCTTACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGATTCTACACTAGTAAAATTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCATCTAGGATAAATTTTTGTGGTAATGGTAATCATATTATATCATTAGTGCAGAATGCTCCATATGGTTTGTATTTTATCCACTTTAGCTATGTCCCTACTAAGTATGTCACTGCGAAGGTTAGTCCCGGTCTGTGCATTGCTGGTGATAGAGGTATAGCCCCTAAGAGTGGTTATTTTGTTAATGTAAATAATACTTGGATGTTCACTGGTAGTGGTTATTACTACCCTGAACCTATAACT---GGAAATAATGTTGTTGTTATGAGTACCTGTGCTGTTAACTATACTAAAGCGCCGGATGTAATGCTGAACATTTCAACACCCAACCTCCCTGATTTTAAGGAAGAGTTGGATCAATGGTTTAAAAACCAAACATCAGTGGCACCACATTTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGATGAAATGAATAGGTTACAGGAGGCAATAAAAGTTTTAAATCAGAGCTACATCAATCTCAAGGACATTGGTACTTATGAGTATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATTGGCTTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGACACCAGGAGTTAGTAATTAAAACATCACATGACGAC >IWT_22_S_BBM61137_1_2016_12_Japan_Unknown_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAACGGCTTTTGCTGTTATAGGAGATTTAAAGTGTACT---------------ACAGTTTCCATTAATGATGTTGACACAGGTGTTCCTTCTATTAGCACTGATACTGTCGATGTTACTAATGGTTTAGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACTACGTTGTTGCTTAATGGTTATTACCCTACTTCAGGTTTTACATATCGTAATATGGCACTGAAGGGAACTTTACTATTGAGCACACTGTGGTTTAAACCACCTTTTCTTTCTGATTTTACCAATGGTATTTTTGCTAAGGTCAAAAACACCAAGGTTATT---AAAGATGGTGTAATGTATAGTGAGTTTCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACATACTACCATTTTG------------GGTAATAAATTACAAGGTTTCTTAGAGATCTCTGTTTGCCAGTATACTATGTGCGAGTACCCAAATACGATTTGTAATCCTAATCTGGGTAATCAACGCGTAGAACTATGGCATTGGGATACAGGTGTTGTTTCCTGTTTATATAAGCGTAATTTCACATATGATGTGAATGCTGATTATTTGTATTTCCATTTTTATCAAGAAGGTGGTACTTTTTATGCATATTTTACAGACACTGGTGTTGTTACTAAGTTTCTGTTTAATGTTTATTTAGGCACGGTGCTTTCACATTATTATGTCATGCCCTTGACTTGTAATAGT------------GCTTTGACTTTAGAATATTGGGTTACACCCCTCACTTCTAAACAATATCTACTAGCTTTCAATCAAGATGGTGTTATTTTTAATGCTGTTGATTGTAAGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACTATCTATAGCACCATCTACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAATTGCAGATGTTTACCGACGTATACCTAACCTTCCCGATTGCAATATTGAGGCTTGGCTTAATGATAAGTCGGTGCCCTCTCCATTAAATTGGGAACGTAAGACCTTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCTGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCTATTCCCAATGGTAGGAAGGTTGACCTACAATTGGGTAATTTGGGCTATTTGCAGTCTTTTAATTATAGAATTGATACTACTGCTACAAGTTGTCAGTTGTATTATAATTTACCTGCTGCTAATGTTTCTGTTAGCAGGTTTAATCCTTCTACTTGGAATAGGAGATTTGGTTTTACAGAACAATCTGTTTTTAAGCCTCAACCTGCAGGTGTTTTTGCTGATCATGATGTTGTTTATGCACAACATTGTTTTAAAGCTCCCACAAATTTCTGTCCTTGTAAATTGGATGGGTCTTTGTGTGTAGGTAGTGGTTCTGGTATAGATGCTGGTTATAAAAATACTGGCATAGGCACTTGTCCTGCAGGTACTAATTATTTAACTTGCCAT------------AATGCTGCCCAATGTGATTGTTTGTGCACTCCAGATCCCATTACATCTAAA---GCTACAGGGCCTCAC---------AAATGCCCTCAAACTAAATACTTAGTTGGCATAGGTGAGCACTGTTCGGGTCTTGCTATTAAAAGTGATCATTGTGGAGGTAACCCTTGTAGTTGCCAACCACAAGCATTTTTGGGTTGGTCTGTTGACTCTTGTTTACAAGGGGATAGGTGTAATATTTTTGCTAATTTTATTTTGCATGATGTTAATAGTGGTACTACTTGTTCTACTGATTTACAAAAATCAAACACAGACATAATTCTTGGTGTTTGTGTTAATTATGATCTTTATGGTATTACTGGCCAAGGGATTTTTGTTGAGGTTAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAATCTCTACGGTTTCAGAGATTACTTAACAAATAGAACTTTTATGATTCGTAGTTGCTATAGTGGTCGTGTTTCAGCGGCCTTTCATGCTAACTCTTCCGAACCAGCATTGCTATTTCGGAATATCAAATGCAATTACGTTTTTAATAACACTCTTTCACGACAGCTGCAACCTATTAACTAT---TTTGATAGCTATCTTGGTTGTGTTGTCAATGCTGATAATAGTACTTCTAGTGTAGTTCAAACATGTGACCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTACAAAAAGACGAAGTCGTAGATCGATTACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAATGATAGCTTAGAACCTGTAGGTGGTTTGTATGAAATTCAAATACCTTCAGAGTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCTAAAGTTACTATTGATTGTTCTGCTTTTGTCTGTGGTGATTATGCAGCATGTAAATCACAGTTGGTTGAATATGGTAGCTTCTGTGACAATATTAATGCTATACTCACAGAAGTAAATGAACTACTTGACACTACACAGTTACAAGTAGCTAATAGTTTAATGAATGGTGTCACTCTTAGCACCAAGCTTAAAGATGGCGTTAATTTTAATGTAGACGACATCAATTTTTCCCCTGTATTAGGTTGTTTAGGAAGCGATTGTAATAAAGTTTCCAGTAGATCTGCTATAGAGGACTTACTTTTTTCTAAAGTAAAGTTATCTGATGTCGGTTTTGTTGAGGCTTATAATAATTGTACCGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAATGGTATCAAGGTGTTGCCCCCACTGCTCTCAGAAAATCAGATCAGTGGTTACACTTTGGCTGCCACCTCTGCTAGCCTGTTTCCTCCATGGTCAGCAGCAGCAGGTGTACCATTCTATTTAAATGTTCAGTATCGTATTAATGGTATTGGTGTTACCATGGATGTGCTAAGTCAAAATCAAAAGCTTATTGCTAATGCATTTAACAATGCTCTTGGTGCTATCCAGGAAGGGTTTGATGCTACCAATTCTGCTTTAGTTAAAATTCAAGCTGTTGTTAATGCAAATGCTGAAGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTTCTTCTTTACAAGAAATTCTATCTAGACTGGATGCTCTTGAAGCGCAAGCTCAGATAGACAGACTTATTAATGGGCGTCTTACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGACTCTACACTAGTAAAGTTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCATCTAGGATAAATTTTTGTGGTAATGGTAATCATATTATATCATTAGTGCAGAATGCTCCGTATGGTTTGTATTTTATCCACTTTAGCTATGTCCCTACTAAGTATGTCACTGCGAAGGTTAGTCCCGGCCTGTGCATTGCTGGTGATAGAGGTATAGCCCCTAAGAGTGGTTATTTTGTTAATGTAAATAATACTTGGATGTTCACTGGTAGTGGTTATTACTACCCTGAACCTATAACT---GGAAATAATGTTGTTGTTATGAGTACCTGTGCTGTTAATTATACTAAAGCGCCGGATGTAATGCTGAACATTTCAACACCCAACCTCCCTGATTTTAAGGAAGAGTTGGATCAATGGTTTAAAAATCAAACATCAGTGGCACCAGATTTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGATGAAATGAATAGGTTACAGGAGGCAATAAAAGTTTTAAATCAGAGCTACATCAATCTCAAGGACATTGGTACATATGAGTATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATTGGCTTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGACATCAGGAGTTAGTAATTAAAACATCACATGAAGAC >3184A_2012_S_AIV41849_1_2012_03_China_Human_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAACGGCTTTTGCTGTTATAGGAGATTTAAAGTGTCCTTTAGATAGTCGT---ACAGGTAGCCTTAATAATATAGACACCGGTCCTCCTTCTATAAGTACTGCTACTGTTGATGTTACTAATGGTTTGGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACTACGTTGTTTCTTAATGGTTATTACCCTACTTCAGGTTCCACATATCGTAATATGGCACTGAAGGGAACTGACAAATTGAGTACACTATGGTTTAAACCACCATTTCTTTCTGATTTTATTAATGGTATTTTTGCTAAGGTCAAAAATACCAAGGTTTTT---AAAGATGGTGTAATGTATAGTGAGTTCCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACGTACAATTAATTCAACACAGGATGGTGTTAATAAATTACAAGGTCTTTTAGAGGTCTCTGTTTGCCAGTATAATATGTGTGAGTACCCACATACGATTTGTCATCCTAATCTGGGTAATCACTTCAAAGAACTATGGCATATGGATACAGGTGTTGTTTCCTGTTTATATAAGCGTAATTTCACATATGATGTGAATGCTACTTATTTGTATTTTCATTTTTATCAAGAAGGTGGTACCTTTTATGCATATTTTACAGACACTGGTGTTGTTACTAAGTTTTTGTTTAATGTTTATTTAGGCATGGCACTTTCACACTATTATGTCATGCCTCTGACTTGTATTAGTAGGCGTAATATTGGTTTTACTTTAGAATATTGGGTTACACCCCTCACTTCTAGACAATATTTACTCGCTTTCAATCAAGATGGTATTATTTTTAATGCTGTTGATTGTATGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACAATCTATAGCACCACCTACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAATTGCAGATGTCTACCGACGCAAACCTGATCTTCCCAATTGCAATATAGAAGCTTGGCTTAATGATAAGTCGGTGCCCTCTCCATTAAATTGGGAACGTAAGACATTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCTGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCTATACCCAATGGCAGGAAGGTTGACCTACAATTGGGTAATTTGGGCTATTTGCAGTCATTTAACTATAGAATTGATACTACTGCAACAAGTTGTCAGTTGTATTATAATTTACCTGCTGCTAATGTTTCTGTTAGCAGGTTTAATCCTTCTACTTGGAATAAGAGATTTGGTTTTATAGAAGATTCTGTTTTTAAACCTCAACCTGCAGGTGTTCTTACCAATCATGATGTAGTTTATGCCCAACATTGTTTTAAAGCTCCCAAAAATTTTTGTCCGTGTAAATCGAACAGTTCTTTGTGTGTAGGTAGTGGTCCTGGT---------------AAAAATAATGGTATAGGCACTTGTCCTGCAGGTACTAATTATTTAACTTGTCAC------------AAT------------------TTGTGCAATCCTGATCCTATTACATTTACA---------GGTCCTTAT---------AAGTGCCCCCAAACTAAATCTTTAGTTGGTATAGGTGAGCACTGTTCAGGTCTTGCTGTTAAAAGTGATTATTGTGGAGGCAATCCTTGCACTTGCCAACCACAAGCATTTTTGGGTTGGTCTGCAGACTCTTGTTTACAAGGGGACAAGTGTAATATTTTTGCTAATTTAATTTTGCATGATGTTAATAGTGGTCTTACTTGTTCTACTGATTTACAAAAAGCTAACACAGACATAAAACTTGGTGTTTGTGTTAATTATGACCTTTATGGTATTTCAGGCCAAGGCATTTTTGTTGAGGTTAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAATCTCTATGGTTTTAGAGACTACATAACAAACAGAACTTTTATGATTCGTAGTTGCTATAGCGGTCGTGTTTCTGCGGCCTTTCACGCTAACTCTTCCGAACCAGCATTGCTATTTCGGAATATTAAATGCAACTACGTTTTTAATAATAGTCTTACACGACAGCTGCAACCCATTAACTAT---TTTGATAGTTATCTTGGTTGTGTTGTCAATGCTTATAATAGTACTGCTATTTCTGTTCAAACATGTGATCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTAAAAACAGACGAAGTCGTAGAGCGATTACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAATGATAGTTTAGAACCTGTAGGTGGTTTGTACGAAATTCAAATACCTTCAGATTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCTAAAGTTACTATTGATTGTGCTGCATTTGTCTGTGGTGATTATGCAGCATGTAAATCACAGTTGGTTGAATATGGTAGTTTCTGTGATAACATTAATGCCATACTCACAGAAGTAAATGAGCTACTTGACACTACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTCACTCTTAGCACTAAGCTTAAAGATGGCGTTAATTTCAATGTAGACGACATCAATTTTTCCTCTGTATTAGGTTGTCTAGGCAGCGAATGTAGTAAAGCTTCCAGTAGATCTGCTATAGAGGATTTACTTTTTGATAAAGTAAAGTTATCTGATGTCGGTTTCGTTGCGGCTTATAATAATTGTACTGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAAAGGTATCAAAGTGTTGCCTCCACTGCTCTCAGAAAATCAGATCAGTGGATACACTTTGGCTGCCACTTCTGCTAGTCTGTTTCCTCCTTGGACAGCAGCAGCAGGTGTACCATTTTATTTAAATGTTCAGTATCGTATTAATGGGCTTGGTGTCACCATGGATGTGCTAAGTCAAAATCAAAAGCTTATTGCTAATGCATTTAACAATGCCCTTGATGCTATTCAGGAAGGGTTCGATGCAACTAATTCTGCTTTAGTTAAAATTCAAGCTGTTGTTAATGCAAATGCTGAAGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTTCTTCTTTACAAGAAATTCTATCTAGACTTGATGCTCTTGAAGCGGAAGCTCAGATAGATAGACTTATTAATGGTCGTCTTACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGATTCTACACTGGTAAAATTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCATCTAGGATAAATTTCTGTGGTAATGGTAACCATATTATATCATTAGTGCAGAATGCTCCATATGGTTTGTATTTTATCCACTTTAGTTATGTCCCTACTAAGTATGTCACAGCGAAGGTTAGTCCTGGTCTGTGCATTGCTGGTGATAGAGGTATAGCTCCTAAGAGTGGTTATTTTGTTAATGTAAATAATACTTGGATGTACACTGGTAGTGGTTACTACTACCCTGAACCTATAACT---GAAAATAATGTTGTTGTTATGAGTACATGCGCTGTTAATTATACTAAAGCGCCGTATGTAATGCTGAACACTTCAATACCCAACCTTCCTGATTTTAGGGAAGAGTTGGATCAATGGTTTAAAAATCAAACCTCAGTGGCACCAGATTTGTCACTTGATTATATAAATGTTACATTCTTGAACCTACAATTTGAAATGAATAGGTTACAGGAGGCAATAAAAGTTTTAAATCAGAGCTACATCAATCTCAAGGACATTGGTACATATGAATATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATCTGCCTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGATACCAGGAGTTAGTAATCAAAACTTCACATGACGAC >7_16_23_S_AVZ61129_1_2016_07_USA_Cattle_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAATGGCTTTTGCTGTTATAGGAGATTTAAAGTGTACT---------------ACAGTTTCCATTAATGATGTTGACACTGGTGTTCCTTCTATTAGCACTGATACTGTCGATGTTACTAATGGTTTAGGTACTTATTATGTTTTAGATCGTGTTTATTTAAATACTACGTTGTTGCTTAATGGTTATTACCCTACTTCAGGTTCTACATATCGTAATATGGCACTGAAGGGAACTTTACTATTGAGCACACTGTGGTTTAAACCACCTTTTCTTTCTGATTTTACTAATGGTATTTTTGCTAAGGTCAAAAATACCAAGGTTATT---AAAGATGGTGTAATGTATAGTGAGTTTCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACATACTACCATTTGG------------GGTAATAAATTACAAGGTTTCTTAGAGATCTCTGTTTGCCAGTATACTATGTGCGAGTACCCAAATACCATTTGTAATTCTAATCTGGGTAATCAACGCGTAGAACTATGGCATTGGGATACAGGTGTTGTTTCCTGTTTATATAAGCGTAATTTCACATACGATGTGAATGCTGATTATTTGTATTTTCATTTTTATCAAGAAGGTGGTACTTTTTATGCATATTTTACAGACACTGGTGTTGTTACTAAGTTTCTGTTTAATGTTTATTTAGGCACGGTGCTTTCACATTATTATGTCATGCCTTTGACTTGTAATAGT------------GCTTTGACTTTAGAATATTGGGTTACACCCCTCACTTCTAAACAATATCTACTAGCTTTCAATCAAGATGGTGTTATTTTTAATGCTGTTGATTGTAAGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACTATCTATAGCACCATCTACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAATTGCAGATGTTTACCGACGTATACCTAATCTTCCCGATTGTAATATTGAGGCTTGGCTTAATGATAAGTCGGTGCCCTCTCCATTAAATTGGGAACGTAAGACTTTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCTGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCAATACCCAATGGTAGGAAGGTTGACCTACAATTGGGTAATTTGGGTTATTTGCAGTCTTTTAACTATAGAATTGATACTACTGCTACAAGTTGTCAGTTGTATTATAATTTACCCGCTGCTAATGTTTCTGTTAGCAGGTTTAATCCTTCTACTTGGAATAGGAGGTTTGGTTTTACAGAACAGTCTGTTTTTAAGCCTCAACCTGCAGGTGTTTTTACTGATCATGATGTTGTTTATGCACAACATTGTTTTAAAGCTCCCACAAATTTCTGTCCATGTAAATTGGGTGGGTCTTTGTGTGTAGGTAATGGTCCTGGTATAGATGCTGGTTATAAAACTACTGGCATAGGCACTTGTCCTGCAGGTACTAATTATTTAACTTGCTAT------------AATGCTGCCCAATGTGATTGTTTGTGCACTCCAGACCCCATTACATCTAAA---GCTACAGGGTCTTAT---------AAGTGCCCCCAAACTAAATATTTAGTTGGCATAGGTGAGCACTGTTCGGGTCTTGCTATTAAAAGTGATCATTGTGGAGGTAACCCTTGCAGTTGCCAACCACAAGCATTTTTGGGTTGGTCTGTTGACTCTTGTTTACAAGGGGATAGGTGTAATATTTTTGCTAATTTTATTTTGCATGATGTTAATAGTGGTACTACTTGTTCTACTGATTTACAAAAATCAAACACAGACATAATTCTTGGTGTTTGTGTTAATTATGATCTTTATGGTATTACTGGCCAAGGGATTTTTGTTGAGGTTAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAATCTCTACGGTTTTAGAGATTACTTAACAAATAGAACTTTTATGATTCGTAGTTGCTATAGTGGTCGTGTTTCAGCGGCCTTTCATGCTAACTCTTCCGAACCAGCATTGCTATTTCGGAATATCAAATGCAATTACGTTTTTAATAACACTCTTTTACGACAGCTGCAACCTATTAACTAT---TTTGATAGCTATCTTGGTTGTGTTGTCAATGCTGATAATAGTACTTCTAGTGTTGTTCAAACATGTGATCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTACAAAAAGACGAAGTCGTAGATCGATTACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAATGATAGTTTAGAACCTGTAGGCGGTTTGTATGAAATTCAAATACCTTCAGAGTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCTAAAGTTACTATTGATTGTTCTGCTTTTGTCTGTGGTGATTATGCAGCATGTAAATCACAGTTGGTTGAATATGGTAGCTTCTGTGACAATATTAATGCTATACTCACAGAAGTAAATGAATTACTTGACACTACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTCACTCTTAGCACTAAGCTTAAAGATGGCGTTAATTTCAATGTAGACGACATCAATTTTTCCCCTGTATTAGGTTGTTTAGGAAGCGATTGCAATAAAGTTTCCAGTAGATCTGCTATAGAGGACTTACTTTTTTCTAAAGTAAAGTTATCTGATGTCGGTTTTGTTGAGGCTTATAATAATTGTACTGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAATGGTATCAAGGTGTTACCTCCACTGCTCTCAGAAAATCAGATCAGTGGATACACTTTGGCTGCCACCTCTGCTAGTCTGTTTCCTCCATGGTCAGCAGCAGCAGGTGTACCATTCTATTTAAATGTTCAGTATCGTATTAATGGTATTGGTGTTACCATGGATGTGCTAAGTCAAAACCAAAAGCTTATTGCTAATGCATTTAACAATGCTCTTGGTGCTATCCAGGAAGGGTTTGATGCTACCAATTCTGCTTTGGTTAAAATTCAAGCTGTTGTTAATGCAAATGCTGAAGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTTCTTCTTTACAAGAAATTCTATCTAGACTGGATGCTCTTGAAGCGCAAGCTCAGATAGACAGGCTTATTAATGGGCGTCTTACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGAGATTCTACACTAGTAAAGTTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCATCTAGGATAAATTTTTGTGGTAATGGTAATCATATTATATCATTAGTGCAGAATGCTCCATATGGTTTGTATTTCATCCACTTTAGCTATGTCCCTACTAAGTATGTCACTGCGAAGGTTAGTCCCGGCCTGTGCATTGCTGGTGATAGAGGTATAGCCCCTAAGAGTGGTTATTTTGTTAATGTAAATAATACTTGGATGTTCACTGGTAGTGGTTATTACTACCCTGAACCTATAACT---GGAAATAATGTTGTTGTTATGAGTACCTGTGCTGTTAATTATACTAAAGCGCCGGATGTAATGCTGAACATTTCAACACCCAACCTCCCTGATTTTAAGGAAGAGTTGGATCAATGGTTTAAAAACCAAACATCAGTGGCACCAGATTTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGATGAAATGAATAGGTTACAGGAGGCAATAAAAGTTTTAAATCAGAGCTACATCAATCTCAAGGACATTGGTACATATGAGTATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATTGGCTTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGTACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGACACCAGGAGTTAGTAATTAAAACATCACATGAAGAC >IWT_3_S_BBM60967_1_2011_06_Japan_Unknown_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAACGGCTTTTGCTGTTATAGGAGATTTAAAGTGTACT---------------ACAGTTTCCATTAATGATGTTGACACTGGTGTTCCTTCTATTAGCACTGATACTGTCGATGTTACTAATGGTTTAGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACTACGTTGTTGCTTAATGGTTATTACCCTACTTCAGGTTCTACATATCGTAATATGGCACTGAAGGGAACTTTACTATTGAGCACACTGTGGTTTAAACCACCTTTTCTTTCTGATTTTACTAATGGTATTTTTGCTAAGGTCAAAAATACCAAGGTTATT---AAAGATGGTGTAATGTATAGTGAGTTTCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACATACTACCATTTTG------------GGTAATAAATTACAAGGTTTCTTAGAGATCTCTGTTTGCCAGTATACTATGTGCGAGTACCCAAATACGATTTGTAATCCTAATCTGGGTAATCAACGCGTAGAACTATGGCATTGGGACACAGGTGTTGTTTCCTGTTTATATAAGCGTAATTTCACATATGATGTGAACGCTGATTATTTGTATTTCCATTTTTATCAAGAAGGTGGTACTTTTTATGCATATTTTACAGACACTGGTGTTGTTACTAAGTTTCTGTTTAATGTTTATTTAGGCACGGTGCTTTCACATTATTATGTCATGCCCTTGACTTGTAATAGT------------GCTCTGACTTTAGAATATTGGGTTACACCCCTCACTTCTAAACAATATCTACTAGCTTTCAATCAAGATGGTGTTATTTTTAATGCTGTTGATTGTAAGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACTATCTATAGCACCATCTACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAATTGCAGATGTTTACCGACGTATACCTAGTCTTCCCGATTGCAATATTGAGGCTTGGCTTAATGATAAGTCGGTGCCCTCTCCATTAAATTGGGAACGTAAGACCTTTTCAAATTGTAATTTTAATATGAGCAGCCTAATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCTGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCTATACCCAATGGTAGGAAGGTTGACCTACAATTGGGTAATTTGGGCTATTTGCAGTCTTTTAATTATAGAATTGATACTACTGCTACAAGTTGTCAGTTGTATTATAATTTACCTGCTGCTAATGTTTCTGTTAGCAGGTTTAATCCTTCTACTTGGAATAGGAGATTTGGTTTTACAGAACAATCTGTTTTTAAGCCTCAACCTGCAGGTGTTTTTACTGATCATGATGTTGTTTATGCACAACATTGTTTTAAAGCTCCCACAAATTTCTGTCCTTGTAAATTGGATGGGTCTTTGTGTGTAGGTAGTGGTTCTGGTATAGATGCTGGTTATAAAAATACTGGCATAGGTACTTGTCCTGCAGGTACTAATTATTTAACTTGCCAT------------AATGCTGCCCAATGTGATTGTTTATGCACTCCAGACCCCATTACATCTAAA---GCTACAGGGCCTCAC---------AAATGCCCCCAAGCTAAATATTTAGTTGGCATAGGTGAGCACTGTTCGGGTCTTGCTATTAAAAGTGACCATTGTGGAGGTAACCCTTGTAGTTGCCAACCACAAGCATTTTTGGGTTGGTCTGTTGACTCTTGTTTACAAGGGGATAGGTGTAATATTTTTGCTAATTTTATTTTGCATGATGTTAATAGTGGTACTACTTGTTCTACTGATTTACAAAAATCAAACACAGACATAATTCTTGGTGTTTGTGTTAATTATGATCTTTATGGTATTACTGGCCAAGGGATTTTTGTTGAGGTTAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAATCTCTACGGTTTCAGAGATTACTTAACAAATAGAACTTTTATGATTCGTAGTTGCTATAGTGGTCGTGTTTCAGCGGCCTTTCATTCTAACTCTTCCGAACCAGCATTGCTATTTCGGAATATCAAATGCAATTACGTTTTTAATAGCACTCTTTCACGACAGCTGCAACCTATTAACTAT---TTTGATAGCTACCTTGGTTGTGTTGTCAATGCTGATAATAGTACTTCTAGTGTTGTTCAAACATGTGATCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTACAAAAAGACGAAGTCGTAGATCGATTACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAATGATAGCTTAGAACCTGTAGGTGGTTTGTATGAAATTCAAATACCTTCAGAGTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCTAAAGTTACTATTGATTGTTCTGCTTTTGTCTGTGGTGATTATGCAGCATGTAAATCACAGTTGGTTGAATATGGTAGCTTCTGTGACAATATTAATGCTATACTCACAGAAGTAAATGAACTACTTGACACTACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTCACTCTTAGCACTAAGCTTAAAGATGGCGTTAATTTCAATGTAGACGACATCAATTTTTCCCCTGTATTAGGTTGTTTAGGAAGCGATTGCAATAAAGTTTCCAGTAGATCTGCTATAGAGGACTTACTTTTTTCTAAAGTAAAGTTATCTGATGTCGGTTTTGTTGAGGCTTATAATAATTGTACTGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAATGGTATCAAGGTGTTGCCCCCACTGCTCTCAGAAAATCAGATCAGTGGTTACACTTTGGCTGCCACCTCTGCTAGCCTGTTTCCTCCATGGTCAGCAGCAGCAGGTGTACCATTCTATTTAAATGTTCAGTATCGTATTAATGGTATTGGTGTTACCATGGATGTGCTAAGTCAAAATCAAAAGCTTATTGCTAATGCATTCAACAATGCTCTTGGTGCTATCCAGGAAGGGTTTGATGCCACTAATTCTGCTTTAGTTAAAATTCAAGCTGTTGTTAATGCAAATGCTGAAGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTTCTTCTTTACAAGAAATTCTATCTAGACTGGATGCTCTTGAAGCGCAAGCTCAGATAGACAGACTTATTAATGGGCGTCTTACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGACTCTACACTAGTAAAGTTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTTAAAAGCCAATCATCTAGGATAAATTTTTGTGGTAATGGTAATCATATTATATCATTAGTGCAGAATGCTCCGTATGGTTTGTATTTTATCCACTTTAGCTATGTCCCTACTAAGTATGTCACAGCGAAGGTTAGTCCTGGTCTGTGCATTGCTGGTGGTAGAGGTATAGCCCCTAAGAGTGGTTATTTTGTTAATGTAAATAACTCTTGGATGTTCACTGGTAGTGGTTATTACTACCCTGAACCTATAACT---GGAAATAATGTTGTTGTTATGAGTACCTGTGCTGTTAATTATACTAAAGCGCCGGATGTAATGCTGAACATTTCAACACCCAACCTCCCTGATTTTAAGGAAGAGTTGGATCAATGGTTTAAAAACCAAACATCAGTGGCACCAGATTTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGATGAAATGAATAGGTTACAGGAGGCAATAAAAGTTTTAAATCAGAGCTACATCAATCTCAAGGACATTGGTACATATGAGTATTATGTGAAATGGCCTTGGTATGTATGGCTTTTAATTGGCTTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGACACCAGGAGTTAGTAATTAAAACATCACATGAAGAC >IWT_26_S_BBM61177_1_2017_02_Japan_Unknown_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAACGGCTTTTGCTGTTATAGGAGATTTAAAGTGTACT---------------ACAGTTTCCATTAATGATGTTGACACAGGTGTTCCTTCTATTAGCACTGATACTGTCGATGTTACTAATGGTTTAGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACTACGTTGTTGCTTAATGGTTATTACCCTACTTCAGGTTTTACATATCGTAATATGGCACTGAAGGGAACTTTACTATTGAGCACACTGTGGTTTAAACCACCTTTTCTTTCTGATTTTACCAATGGTATTTTTGCTAAGGTCAAAAACACCAAGGTTATT---AAAGATGGTGTAATGTATAGTGAGTTTCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACATACTACCATTTTG------------GGTAATAAATTACAAGGTTTCTTAGAGATCTCTGTTTGCCAGTATACTATGTGCGAGTACCCAAATACGATTTGTAATCCTAATCTGGGTAATCAACGCGTAGAACTATGGCATTGGGATACAGGTGTTGTTTCCTGTTTATATAAGCGTAATTTCACATATGATGTGAATGCTGATTATTTGTATTTCCATTTTTATCAAGAAGGTGGTACTTTTTATGCATATTTTACAGACACTGGTGTTGTTACTAAGTTTCTGTTTAATGTTTATTTAGGCACGGTGCTTTCACATTATTATGTCATGCCCTTGACTTGTAATAGT------------GCTTTGACTTTAGAATATTGGGTTACACCCCTCACTTCTAAACAATATCTACTAGCTTTCAATCAAGATGGTGTTATTTTTAATGCTGTTGATTGTAAGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACTATCTATAGCACCATCTACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAATTGCAGATGTTTACCGACGTATACCTAACCTTCCCGATTGCAATATTGAGGCTTGGCTTAATGATAAGTCGGTGCCCTCTCCATTAAATTGGGAACGTAAGACCTTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCTGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCTATTCCCAATGGTAGGAAGGTTGACCTACAATTGGGTAATTTGGGCTATTTGCAGTCTTTTAATTATAGAATTGATACTACTGCTACAAGTTGTCAGTTGTATTATAATTTACCTGCTGCTAATGTTTCTGTTAGCAGGTTTAATCCTTCTACTTGGAATAGGAGATTTGGTTTTACAGAACAATCTGTTTTTAAGCCTCAACCTGCAGGTGTTTTTGCTGATCATGATGTTGTTTATGCACAACATTGTTTTAAAGCTCCCACAAATTTCTGTCCTTGTAAATTGGATGGGTCTTTGTGTGTAGGTAGTGGTTCTGGTATAGATGCTGGTTATAAAAATACTGGCATAGGCACTTGTCCTGCAGGTACTAATTATTTAACTTGCCAT------------AATGCTGCCCAATGTGATTGTTTGTGCACTCCAGATCCCATTACATCTAAA---GCTACAGGGCCTCAC---------AAATGCCCTCAAACTAAATACTTAGTTGGCATAGGTGAGCACTGTTCGGGTCTTGCTATTAAAAGTGATCATTGTGGAGGTAACCCTTGTAGTTGCCAACCACAAGCATTTTTGGGTTGGTCTGTTGACTCTTGTTTACAAGGGGATAGGTGTAATATTTTTGCTAATTTTATTTTGCATGATGTTAATAGTGGTACTACTTGTTCTACTGATTTACAAAAATCAAACACAGACATAATTCTTGGTGTTTGTGTTAATTATGATCTTTATGGTATTACTGGCCAAGGGATTTTTGTTGAGGTTAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAATCTCTACGGTTTCAGAGATTACTTAACAAATAGAACTTTTATGATTCGTAGTTGCTATAGTGGTCGTGTTTCAGCGGCCTTTCATGCTAACTCTTCCGAACCAGCATTGCTATTTCGGAATATCAAATGCAATTACGTTTTTAATAACACTCTTTCACGACAGCTGCAACCTATTAACTAT---TTTGATAGCTATCTTGGTTGTGTTGTCAATGCTGATAATAGTACTTCTAGTGTAGTTCAAACATGTGACCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTACAAAAAGACGAAGTCGTAGATCGATTACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAATGATAGCTTAGAACCTGTAGGTGGTTTGTATGAAATTCAAATACCTTCAGAGTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCTAAAGTTACTATTGATTGTTCTGCTTTTGTCTGTGGTGATTATGCAGCATGTAAATCACAGTTGGTTGAATATGGTAGCTTCTGTGACAATATTAATGCTATACTCACAGAAGTAAATGAACTACTTGACACTACACAGTTACAAGTAGCTAATAGTTTAATGAATGGTGTCACTTTTAGCACCAAGCTTAAAGATGGCGTTAATTTTAATGTAGACGACATCAATTTTTCCCCTGTATTAGGTTGTTTAGGAAGCGATTGTAATAAAGTTTCCAGTAGATCTGCTATAGAGGACTTACTTTTTTCTAAAGTAAAGTTATCTGATGTCGGTTTTGTTGAGGCTTATAATAATTGTACCGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAATGGTATCAAGGTGTTGCCCCCACTGCTCTCAGAAAATCAGATCAGTGGTTACACTTTGGCTGCCACCTCTGCTAGCCTGTTTCCTCCATGGTCAGCAGCAGCAGGTGTACCATTCTATTTAAATGTTCAGTATCGTATTAATGGTATTGGTGTTACCATGGATGTGCTAAGTCAAAATCAAAAGCTTATTGCTAATGCATTTAACAATGCTCTTGGTGCTATCCAGGAAGGGTTTGATGCTACCAATTCTGCTTTAGTTAAAATTCAAGCTGTTGTTAATGCAAATGCTGAAGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTTCTTCTTTACAAGAAATTCTATCTAGACTGGATGCTCTTGAAGCGCAAGCTCAGATAGACAGACTTATTAATGGGCGTCTTACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGACTCTACACTAGTAAAGTTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCATCTAGGATAAATTTTTGTGGTAATGGTAATCATATTATATCATTAGTGCAGAATGCTCCGTATGGTTTGTATTTTATCCACTTTAGCTATGTCCCTACTAAGTATGTCACTGCGAAGGTTAGTCCCGGCCTGTGCATTGCTGGTGATAGAGGTATAGCCCCTAAGAGTGGTTATTTTGTTAATGTAAATAATACTTGGATGTTCACTGGTAGTGGTTATTACTACCCTGAACCTATAACT---GGAAATAATGTTGTTGTTATGAGTACCTGTGCTGTTAATTATACTAAAGCGCCGGATGTAATGCTGAACATTTCAACACCCAACCTCCCTGATTTTAAGGAAGAGTTGGATCAATGGTTTAAAAATCAAACATCAGTGGCACCAGATTTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGATGAAATGAATAGGTTACAGGAGGCAATAAAAGTTTTAAATCAGAGCTACATCAATCTCAAGGACATTGGTACATATGAGTATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATTGGCTTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGACATCAGGAGTTAGTAATTAAAACATCACATGAAGAC >1783A_10_S_AJC98135_1_2010_01_China_Human_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAACGGCTTTTGCTGTTATAGGAGATTTAAAGTGTCCTTTAGATAGTCGT---ACAGGTAGCCTTAATAATATAGACACCGGTCCTCCTTCTATAAGTACTGCTACTGTTGATGTTACTAATGGTTTGGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACTACGTTGTTTCTTAATGGTTATTACCCTACTTCAGGTTCCACATATCGTAATATGGCACTGAAGGGAACTGACAAATTGAGTACACTATGGTTTAAACCACCATTTCTTTCTGATTTTATTAATGGTATTTTTGCTAAGGTCAAAAATACCAAGGTTTTT---AAAGATGGTGTAATGTATAGTGAGTTCCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACGTACAATTAATTCAACACAGGATGGTGTTAATAAATTACAAGGTCTTTTAGAGGTCTCTGTTTGCCAGTATAATATGTGTGAGTACCCACATACGATTTGTCATCCTAAACTGGGTAATCACTTCAAAGAACTATGGCATATGGATACAGGTGTTGTTTCCTGTTTATATAAGCGTAATTTCACATATGATGTGAATGCTACTTATTTGTATTTTCATTTTTATCAAGAAGGTGGTACCTTTTATGCATATTTTACAGACACTGGTGTTGTTACTAAGTTTTTGTTTAATGTTTATTTAGGCATGGCACTTTCACACTACTATGTCATGCCTCTGACTTGTATTAGTAGGCGTGATATTGGTTTTACTTTAGAATATTGGGTTACACCCCTCACTTCTAGACAATATTTACTCGCTTTCAATCAAGATGGTATTATTTTTAATGCTGTTGATTGTATGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACAATCTATAGCACCACCTACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAATTGCAGATGTTTACCGACGCAAACCTGATCTTCCCAATTGCAATATAGAAGCTTGGCTTAATGATAAGTCGGTGCCCTCTCCATTAAATTGGGAACGTAAGACATTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCTGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCTATACCCAATGGCAGGAAGGTTGACCTACAATTGGGTAATTTGGGCTATTTGCAGTCATTTAACTATAGAATTGATACTACTGCAACAAGTTGTCAGTTGTATTATAATTTACCTGCTGCTAATGTTTCTGTTAGCAGGTTTAATCCTTCTACTTGGAATAAGAGATTTGGTTTTATAGAAAATTCTGTTTTTAAGCCTCAACCTGCAGGTGTTCTTACCAATCATGATGTAGTTTATGCCCAACATTGTTTTAAAGCTCCCAAAAATTTTTGTCCGTGTAAATTGAACAGTTCTTTGTGTGTAGGTAGTGGTCCTGGT---------------AAAAATAATGGTATAGGCACTTGTCCTGCAGGTACTAATTATTTAACTTGTCAC------------AAT------------------TTGTGCAATCCTGATCCTATTACATTTACA---------GGTCCTTAT---------AAGTGCCCCCAAACTAAATCTTTAGTTGGTATAGGTGAGCACTGTTCAGGTCTTGCTGTTAAAAGTGATTATTGTGGAGGCAATCCTTGCACTTGCCAACCACAAGCATTTTTGGGTTGGTCTGCAGACTCTTGTTTACAAGGGGACAAGTGTAATATTTTTGCTAATTTAATTTTGCATGATGTTAATAGTGGTCTTACTTGTTCTACTGATTTACAAAAAGCTAACACAGACATAAAACTTGGTGTTTGTGTTAATTATGACCTTTATGGTATTTCAGGCCAAGGCATTTTTGTTGAGGTTAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAATCTCTATGGTTTTAGAGACTACATAACAAACAGAACTTTTATGATTCGTAGTTGCTATAGCGGTCGTGTTTCTGCGGCCTTTCACGCTAACTCTTCCGAACCAGCATTGCTATTTCGGAATATTAAATGCAACTACGTTTTTAATAATAGTCTTATACGACAGCTGCAACCCATTAACTAT---TTTGATAGTTATCTTGGTTGTGTTGTCAATGCTTATAATAGTACTGCTATTTCTGTTCAAACATGTGATCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTAAAAACAGACGAAGTCGTAGAGCGATTACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAATGATAGTTTAGAACCTGTAGGTGGTTTGTACGAAATTCAAATACCTTCAGAGTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCTAAAGTTACTATTGATTGTGCTGCATTTGTCTGTGGTGATTATGCAGCATGTAAATCACAGTTGGTTGAATATGGTAGTTTCTGTGATAACATTAATGCCATACTCACAGAAGTAAATGAGCTACTTGACACTACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTCACTCTTAGCACTAAGCTTAAAGATGGCGTTAATTTCAATGTAGACGACATCAATTTTTCCTCTGTATTAGGTTGTCTAGGCAGCGAATGTAGTAAAGCTTCCAGTAGATCTGCTATAGAGGATTTACTTTTTGATAAAGTAAAGTTATCTGATGTCGGTTTCGTTGCGGCTTATAATAATTGTACTGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAAAGGTATCAAAGTGTTGCCTCCACTGCTCTCAGAAAATCAGATCAGTGGATACACTTTGGCTGCCACTTCTGCTAGCCTGTTTCCTCCTTGGACAGCAGCAGCAGGTGTACCATTTTATTTAAATGTTCAGTATCGCATTAATGGGCTTGGTGTCACCATGGATGTGCTAAGTCAAAATCAAAAGCTTATTGCTAATGCATTTAACAATGCCCTTGATGCTATTCAGGAAGGTTTCGATGCAACTAATTCTGCTTTAGTTAAAATTCAAGCTGTTGTTAATGCAAATGCTGAAGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTTCTTCTCTACAAGAAATTCTATCTAGACTTGATGCTCTTGAAGCGGAAGCTCAGATAGATAGACTTATTAATGGTCGTCTTACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGATTCTACACTGGTAAAATTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCATCTAGGATAAATTTCTGTGGTAATGGTAACCATATTATATCATTAGTGCAGAATGCTCCATATGGTTTGTATTTTATCCACTTTAGTTATGTCCCTACTAAGTATGTCACAGCGAAGGTTAGTCCTGGTCTGTGCATTGCTGGTGATAGAGGTATAGCTCCTAAGAGTGGTTATTTTGTTAATGTAAATAATACTTGGATGTACACTGGTAGTGGTTACTACTACCCTGAACCTATAACT---GAAAATAATGTCGTTGTTATGAGTACATGCGCTGTTAATTATACTAAAGCGCCGTATGTAATGCTGAACACTTCAACACCCAACCTTCCTGATTTTAGGGAAGAGTTGGATCAATGGTTTAAAAATCAAACATCAGTGGCACCAGATCTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGTTGAAATGAATAGGTTACAGGAGGCAATAAAAGTTTTAAATCAGAGCTACATCAATCTCAAGGACATTGGTACATATGAATATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATCGGCCTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGATACCAGGAGTTAGTAATCAAAACTTCACATGACGAC >BJ_112_S_AXX83297_1_2015_04_22_China_Unknown_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAACGGCTTTTGCTGTTATAGGAGATTTAAAGTGTCCTTTAGATAGTCGT---ACAGGTAGCCTTAATAATATAGACACCGGTCCTCCTTCTATAAGTACTGCTACTGTTGATGTTACTAATGGTTTGGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACTACGTTGTTTCTTAATGGTTATTACCCTACTTCAGGTTCCACATATCGTAATATGGCACTGAAGGGAACTGACAAATTGAGTACACTATGGTTTAAACCACCATTTCTTTCTGATTTTATTAATGGTATTTTTGCTAAGGTCAAAAATACCAAGGTTTTT---AAAGATGGTGTAATGTATAGTGAGTTCCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACGTACAATTAATTCAACACAGGATGGTGTTAATAAATTACAAGGTCTTTTAGAGGTCTCTGTTTGCCAGTATAATATGTGTGAGTACCCACATACGATTTGTCATCCTAATCTGGGTAATCACTTCAAAGAACTATGGCATATGGATACAGGTGTTGTTTCCTGTTTATATAAGCGTAATTTCACATATGATGTGAATGCTACTTATTTGTATTTTCATTTTTATCAAGAAGGTGGTACCTTTTATGCATATTTTACAGACACTGGTGTTGTTACTAAGTTTTTGTTTAATGTTTATTTAGGCATGGCACTTTCACACTATTATGTCATGCCCCTGACTTGTATTAGTAGGCGTAATATTGGTTTTACTTTAGAATATTGGGTTACACCCCTCACTTCTAGACAATATTTACTCGCTTTCAATCAAGATGGTATTATTTTTAATGCTGTTGATTGTATGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACAATCTATAGCACCACCTACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAATTGCAGATGTTTACCGACGCAAACCTGATCTTCCCAATTGCAATATAGAAGCTTGGCTTAATGATAAGTCGGTGCCCTCTCCATTAAATTGGGAACGTAAGACATTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCTGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCTATACCCAATGGCAGGAAGGTTGACCTACAATTGGGTAATTTGGGCTATTTGCAGTCATTTAACTATAGAATTGATACTACTGCAACAAGTTGTCAGTTGTATTATAATTTACCTGCTGCTAATGTTTCTGTTAGTAGGTTTAATCCTTCTACTTGGAATAAGAGATTTGGTTTTATAGAAGATTCTGTTTTTAAACCTCAACCTGCAGGTGTTCTTACCAATCATGATGTAGTTTATGCCCAACATTGTTTTAAAGCTCCTAAAAATTTTTGTCCGTGTAAATCGAATAGTTCTTTGTGTGTAGGTAGTGGTCCTGGT---------------AAAAATAATGGTATAGGCACTTGTCCTGCAGGTACTAATTATTTAACTTGTCAC------------AAT------------------TTGTGCAATCCTGATCCTATTACATTTACA---------GGTCCTTAT---------AAGTGCCCCCAAACTAAATCTTTAGTTGGTATAGGTGAGCACTGTTCAGGTCTTGCTGTTAAAAGTGATTATTGTGGAGGCAATCCTTGCACTTGCCAACCACAAGCATTTTTGGGTTGGTCTGCAGACTCTTGTTTACAAGGGGACAAGTGTAATATTTTTGCTAATTTAATTTTGCATGATGTTAATAGTGGTCTTACTTGTTCTACTGATTTACAAAAAGCTAACACAGACATAAAACTTGGTGTTTGTGTTAATTATGACCTTTATGGTATTTCAGGCCAAGGCATTTTTGTTGAGGTTAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAATCTCTATGGTTTTAGAGACTACATAACAAACAGAACTTTTATGATTCGTAGTTGCTATAGCGGTCGTGTTTCTGCGGCCTTTCACGCTAACTCTTCCGAACCAGCATTGCTATTTCGGAATATTAAATGCAACTACGTTTTTAATAATAGTCTTACACGACAGCTGCAACCCATTAACTAT---TTTGATAGTTATCTTGGTTGTGTTGTCAATGCTTATAATAGTACTGCTATTTCTGTTCAAACATGTGATCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTAAAAACAGACGAAGTCGTAGAGCGATTACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAATGATAGTTTAGAACCTGTAGGTGGTTTGTACGAAATTCAAATACCTTCAGATTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCTAAAGTTACTATTGATTGTGCTGCATTTGTCTGTGGTGATTATGCAGCATGTAAATCACAGTTGGTTGAATATGGTAGTTTCTGTGATAACATTAATGCCATACTCACAGAAGTAAATGAGCTACTTGACACTACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTCACTCTTAGCACTAAGCTTAAAGATGGCGTTAATTTCAATGTAGACGACATCAATTTTTCCTCTGTATTAGGTTGTCTAGGCAGCGAATGTAGTAAAGCTTCCAGTAGATCTGCTATAGAGGATTTACTTTTTGATAAAGTAAAGTTATCTGATGTCGGTTTCGTTGCGGCTTATAATAATTGTACTGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAAAGGTATCAAAGTGTTGCCTCCACTGCTCTCAGAAAATCAGATCAGTGGATACACTTTGGCTGCCACTTCTGCTAGTCTATTTCCTCCTTGGACAGCAGCAGCAGGTGTACCATTTTATTTAAATGTTCAGTATCGCATTAATGGGCTTGGTGTCACCATGGATGTGCTAAGTCAAAATCAAAAGCTTATTGCTAATGCATTTAACAATGCCCTTGATGCTATTCAGGAAGGGTTCGATGCAACTAATTCTGCTTTAGTTAAAATTCAAGCTGTTGTTAATGCAAATGCTGAAGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTTCTTCTTTACAAGAAATTCTATCTAGACTTGATGCTCTTGAAGCGGAAGCTCAGATAGATAGACTTATTAATGGTCGTCTTACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGATTCTACACTGGTAAAATTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCATCTAGGATAAATTTCTGTGGTAATGGTAACCATATTATATCATTAGTGCAGAATGCTCCATATGGTTTGTATTTTATCCACTTTAGTTATGTCCCTACTAAGTATGTCACAGCGAAGGTTAGTCCTGGTCTGTGCATTGCTGGTGATAGAGGTATAGCTCCTAAGAGTGGTTATTTTGTTAATGTAAATAATACTTGGATGTACACTGGTAGTGGTTACTACTACCCTGAACCTATAACT---GAAAATAATGTTGTTGTTATGAGTACATGCGCTGTTAATTATACTAAAGCGCCGTATGTAATGCTGAACACTTCAATACCCAACCTTCCTGATTTTAGGGAAGAGTTGGATCAATGGTTTAAAAATCAAACATCAGTGGCACCAGATTTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGTTGAAATGAATAGGTTACAGGAGGCAATAAAAGTTTTAAATCAGAGCTACATCAATCTCAAGGACATTGGTACATATGAATATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATCTGCCTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGCGGTGGTTGTTGTGATGATTATACTGGATACCAGGAGTTAGTAATCAAAACTTCACATGACGAC >3269A_2012_S_AIV41843_1_2012_06_China_Human_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAACGGCTTTTGCTGTTATAGGAGATTTAAATTGTCCTTTAGATCCTAAGCTTAAAGGTAGCTTTAATAATAGAGACACCGGTCTTCCTTCTATAAGTACTGATACTGTTGATGTCACTAATGGTTTGGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACTACGTTGTTTCTTAATGGTTATTACCCCACTTCAGGTTCCACATATCGTAATATGGCACTGAAGGGAACTGACTTATTGAGCAAATTATGGTTTAAACCACCATTTCTTTCTGATTTTATTAATGGTATTTTTGCTAAGGTCAAAAATACCAAGGTTTTT---AAAGATGGTGTAATGTATAGTGAGTTCCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACGTACAATTAATTCAACACAGGATGGTGTTAATAAATTACAAGGTCTTTTAGAGGTCTCTGTTTGCCAGTATAATATGTGTGAGCACCCACATACGAGTTGTCATCCTAATTTGGGTAACCATTTCAAAGAACTATGGCATTTGGATACAGGTGTTGTTTCTTGTTTGTATAAGCGTAATTTCACATATGATGTGAATGCTACTTATTTGTATTTTCATTTTTATCAAGAAGGTGGTACTTTTTATGCATATTTTACAGACACTGGTTTTGTTACTAAGTTTTTGTTTAATGTTTATTTAGGCATGGCACTTTCACACTATTATGTCATGCCTCTGACTTGTATTAGTAGGCGTGATATTGGTTTTACTTTAGAATATTGGGTTACACCCCTCACTCCTAGACAATATTTACTCGCTTTCAATCAAGATGGTATTATTTTTAATGCTGTTGATTGTATGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACAATCTATAGCACCACCCACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAATTGCAGATGTTTACCGACGCAAACCTGACCTTCCCAATTGCAATATAGAAGCTTGGCTTAATGATAAGTCGGTGCCCTCTCCATTAAATTGGGAACGTAAGACATTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCTGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCTATACCCAATCGCAGGAAGGTTGACCTACAATTGGGCAATTTGGGCTATTTGCAGTCATCCAACTATAGAATTGATACTACTGCAACAAGTTGTCAGTTGTATTATAATTTACCTGCTGCTAATGTCTCTGTTAGCAGGTTTAATCCTTCTACTTGGAATAAGAGATTTGGTTTTATAGAAGATTCTGTTTTTGTGCCTCAACCTACAGGTGTTTTTACTAATCACAGTGTAGTTTATGCACAACACTGTTTTAAAGCCCCTAAAAATTTCTGTCCGTGT---------AGT---TCCTGTCCTGGT---------------------------AAAAATAATGGTATAGGCACTTGTCCTGCAGGTACTAATTATTTAACTTGTGAT------------AAT------------------TTATGTACTCTTGATCCTATTACATTTAAA---GCTCCAGATACTTAT---------AAGTGCCCCCAAACTAAATCTTTAGTTGGTATAGGTGAGCACTGTTCGGGTCTTGCTGTTAAAAGTGATTATTGTGGAAACAATTCTTGTACTTGCCAACCACAAGCATTTTTGGGTTGGTCTGCAGACTCTTGTTTACAAGGAGACAAGTGTAATATTTTTGCTAATTTCATTTTGCATGATGTTAATAATGGTCTTACTTGTTCTACTGATTTACAAAAAGCTAACACAGAAATAGAACTTGGTGTTTGTGTTAATTATGACCTCTATGGTATTTCAGGCCAAGGCATTTTTGTTGAGGTTAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAACCTCTACGGTTTTAGAGACTACATAACAAACAGAACTTTTATGATTCATAGTTGCTATAGCGGTCGTGTTTCTGCGGCCTATCATGCCAACTCTTCCGAACCAGCATTGCTATTTCGGAATATTAAATGCAACTACGTTTTTAATAATAGTCTTACACGACAGCTGCAACCCATTAACTATTCGTTTGATAGTTATCTTGGTTGTGTTGTCAATGCTTATAATAGTACTGCTATTTCTGTTCAAACATGTGATCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTAAAAACAGACGAAGTCGTAGAGCGATCACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAATGATAGTTTGGAACCTGTAGGTGGTTTGTATGAAATTCAAATACCTTCAGAGTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCCAAAGTTACTATTGATTGTGCTGCATTTGTCTGTGGTGATTATGCAGCATGTAAATTACAGTTGGTTGAATATGGTAGTTTCTGTGATAACATTAATGCCATACTCACAGAAGTAAATGAACTACTTGATACTACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTTACTCTTAGCACTAAGCTTAAAGATGGTGTTAATTTCAATGTAGACGACATCAATTTTTCCCCTGTATTAGGTTGTCTAGGCAGCGAATGTAGTAAAGCCTCCAGTAGATCTGCTATAGAGGATTTACTTTTTGATAAAGTAAAGTTATCTGATGTCGGTTTCGTTGAGGCTTATAATAATTGTACAGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAAAGGCATCAAAGTGTTGCCTCCACTGCTCTCAGAAAATCAGATCAGTGGATATACTTTGGCTGCCACCTCTGCTAGTCTATTTCCTCCTTGGACAGCAGCAGCAGGAGTACCATTTTATTTAAATGTTCAGTATCGCATTAATGGGCTTGGTGTCACCATGGATGTGCTAAGTCAAAATCAAAAGCTTATTGCTAATGCATTTAACAATGCCCTTCATGCTATTCAGCAAGGGTTCGATGCAACTAATTCTGCTTTAGTTAAAATTCAAGCTGTTGTTAATGCAAATGCTGAAGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTGCTTCTTTACAAGAAATTCTATCTAGACTTGATGCTCTTGAAGCTGAAGCTCAGATAGATAGACTTATTAATGGTCGTCTCACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGATTCTACACTGGTAAAATTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCATCTAGGATAAATTTCTGTGGTAATGGTAATCATATTATATCATTAGTGCAGAATGCTCCATATGGTTTGTATTTTATCCACTTTAATTATGTCCCTACTAAGTATGTCACAGCGAAGGTTAGTCCTGGTCTGTGCATTGCTGGTAATAGAGGTATAGCTCCTAAGAGTGGTTATTTTGTTAATGTAAATAATACTTGGATGTACACTGGTAGTGGTTACTACTACCCTGAACCTATAACT---GAAAATAATGTTGTTGTTATGAGTACCTGCGCTGTTAATTATACTAAAGCGCCGTATGTAATGCTGAACACTTCAATACCCAACCTTCCTGATTTTAAGGAAGAGTTGGACCAATGGTTCAAAAATCAAACATCAGTGGCACCACATTTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGTTGAAATGAATAGGTTACAGGAGGCAATAAAAGTCTTAAATCATAGCTACATCAATCTCAAGGACATTGGTACATATGAATATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATCTCCCTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGATACCAGGAGTTAGTAATCAAAACTTCACATGACGAC >IWT_9_S_BBM60927_1_2012_04_Japan_Unknown_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAACGGCTTTTGCTGTTATAGGAGATTTAAAGTGTACT---------------ACAGTTTCCATTAATGATGTTGACACTGGTGTTCCTTCTATTAGCACTGATACTGTCGATGTTACTAATGGTTTAGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACTACGTTGTTGCTTAATGGTTATTACCCTACTTCAGGTTCTACATATCGTAATATGGCACTGAAGGGAACTTTACTATTGAGCACACTGTGGTTTAAACCACCTTTTCTTTCTGATTTTACTAATGGTATTTTTGCTAAGGTCAAAAATACCAAGGTTATT---AAAGATGGTGTAATGTATAGTGAGTTTCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACATACTACCATTTTG------------GGTAATAAATTACAAGGTTTCTTAGAGATCTCTGTTTGCCAGTATACTATGTGTGAGTACCCAAATACGATTTGTAATCCTAATCTGGGTAATCAACGCGTAGAACTATGGCATTGGGATACAGGTGTTGTTTCCTGTTTATATAAGCGTAATTTCACATATGATGTGAACGCTGACTATTTGTATTTCCATTTTTATCAAGAAGGTGGTACTTTTTATGCATATTTTACAGACACTGGTGTTGTTACTAAGTTTCTGTTTAATGTTTATTTAGGCACGGTGCTTTCACATTATTATGTCATGCCTTTGACTTGTAATAGT------------GCTCTGACTTTAGAATATTGGGTTACACCCCTCACTTCTAAACAATATCTACTAGCTTTTAATCAAGATGGTGTTATTTTTAATGCTGTTGATTGTAAGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACTATCTATAGCACCATCTACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAATTGCAGATGTTTACCGACGTATACCTAACCTTCCCGATTGCAATATTGAGGCTTGGCTTAATGATAAGTCAGTGCCCTCTCCATTAAATTGGGAACGTAAGACCTTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCAGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCTATACCCAATGGTAGGAAGGTTGACCTACAATTGGGTAATTTGGGCTATTTGCAGTCTTTTAATTATAGAATTGACACTACTGCTACAAGTTGTCAGTTGTATTATAATTTACCTGCTGCTAATGTTTCTGTTAGCAGGTTTAATCCTTCTACTTGGAATAGGAGATTTGGTTTTACAGAACAATCTGTTTTTAAGCCTCAACCTGCAGGTGTTTTTACTGATCACGATGTTGTTTACGCACAACATTGTTTTAAAGCTCCCACAAATTTCTGTCCTTGCAAATTGGATGGGTCTTTGTGTGTAGGTAGTGGTTCTGGTATAGATGCTGGTTATAAAAATACTGGCATAGGCATTTGTCCTGCAGGTACTAATTATTTAACTTGCCAT------------AATGCTGCCCAATGTGATTGTTTGTGCACTCCAGACCCCATTACATCTAAA---GCTACAGGGCCTCAC---------AAATGCCCTCAAGCTAAATATTTAGTTGGCATAGGTGAGCACTGTTCGGGTCTTGCTATTAAAAGTGACCATTGTGGAGGTAACCCTTGTAGTTGCCAACCACAAGCATTTTTGGGTTGGTCTGTTGACTCTTGTTTACAAGGGGATAGGTGTAATATTTTTGCTAATTTTATTTTGCATGATGTTAATAGTGGTACTACTTGTTCTACTGATTTACAAAAATCAAACACAGACATAATTCTTGGTGTTTGTGTTAATTATGATCTTTATGGTATTACTGGCCAAGGGATTTTTGTTGAGGTAAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAATCTCTACGGTTTCAGAGATTACTTAACAAATAGAACTTTTATGATTCGTAGTTGCTATAGTGGTCGTGTTTCAGCGGCCTTTCATGCTAACTCTTCCGAACCAGCATTGCTATTTCGGAATATCAAATGCAATTACGTTTTTAATAACACTCTTTCACGACAGCTGCAACCTATTAACTAT---TTTGATAGCTATCTTGGTTGTGTTGTCAATGCTGATAATAGTACTTCTAGTGTTGTTCAAACATGTGATCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTACAAAAAGACGAAGTCGTAGGTCGATTACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAACGATAGCTTAGAACCTGTAGGTGGTTTGTATGAAATTCAAATACCTTCAGAGTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCTAAAGTTACTATTGATTGTTCTGCTTTTGTCTGTGGTGATTATGCAGCATGTAAATCGCAGTTGGTTGAATATGGTAGCTTCTGTGACAATATTAATGCTATACTCACAGAAGTAAATGAACTACTTGACACTACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTCACTCTTAGCACTAAGCTTAAAGATGGCGTTAATTTCAATGTAGATGACATCAATTTTTCCCCTGTATTAGGTTGTTTAGGAAGCGATTGCAATAAAGTTTCCAGTAGATCTGCTATAGAGGACTTACTTTTTTCTAAAGTAAAGTTATCTGATGTCGGTTTTGTTGAGGCTTATAATAATTGTACTGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAATGGTATCAAGGTGTTGCCCCCATTGCTCTCTGAAAATCAGATCAGTGGTTACACTTTGGCTGCCACCTCTGCTAGCTTGTTTCCTCCATGGTCAGCAGCAGCAGGTGTACCATTCTACTTAAATGTTCAGTATCGTATTAATGGTATTGGTGTTACCATGGATGTGCTAAGTCAAAATCAAAAGCTTATTGCTAATGCATTTAACAATGCTCTTGGTGCTATCCAGGAAGGGTTTGATGCTACCAATTTTGCTTTAGTTAAAATTCAATCTGTTGTTAATGCAAATGCTGACGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTTCTTCTTTACAAGAAATTCTATCTAGACTGGATGCTCTTGAAGCGCAAGCTCAGATAGACAGACTTATTAATGGGCGTCTTACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGACTCTACACTAGTAAAGTTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCATCTAGGATAAATTTTTGTGGTAATGGTAATCATATTATATCATTAGTGCAGAATGCTCCGTATGGTTTGTATTTTATCCACTTTAGCTATGTCCCTACTAAGTATGTCACTGCGAAGGTTAGTCCCGGCCTGTGCATTGCTGGTGATAGAGGTATAGCCCCTAAGAGTGGTTATTTTGTTAATGTAAATAATACTTGGATGTTCACTGGTAGTGGTTATTACTACCCTGAACCTATAACT---GGAAATAATGTTGTTGTTATGAGTACCTGTGCTGTTAATTATACTAAAGCGCCGGATGTAATGCTGAACATTTCAACACCCAACCTCCCTGATTTTAAGGAAGAGTTGGATCAATGGTTTAAAAACCAAACATCAGTGGCACCAGATTTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGATGAAATGAATAGGTTACAGGAGGCAATAAAAGTTTTAAATCAGAGCTACATCAATCTTAAGGACATTGGTACATATGAGTATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATTGGCTTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGACACCAGGAGTTAGTAATTAAAACATCACATGAAGAC >HCoV_OC43_Seattle_USA_SC0839_2019_NA_QEG03767_1_2019_USA_Human_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCTTACCAACGGCTTTTGCTGTTATAGGAGATTTAAATTGTACTTTAGATCCTAGGCTTAGAGGTAGCTTTAATAATAGAGACACCGGTCCTCCTTCTATAAGTATTGATACTGTTGATGTTACTAATGGTTTGGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACCACGTTGTTTCTTAATGGTTATTACCCCACTTCAGGTTCCACATATCGTAATATGGCACTGAAGGGAACTGACTTATTGAGCACATTATGGTTTAAACCACCATTTCTTTCTGATTTTATTAATGGTATTTTTGCTAAGGTCAAAAATACCAAGGTTTTT---AAAGATGGTGTAATGTATAGTGAGTTCCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACGTACAATTAATTCAACACAGGATGGTGTTAATAAATTACAAGGTCTTTTAGAGGTCTCTGTTTGCCAGTATAATATGTGTGAGTACCCACATACGATTTGTCATCCTAACTTGGGTAACCATTTCAAAGAACTATGGCATTATGATACAGGTGTTGTTTCCTGTTTGTATAAGCGTAATTTCACATATGATGTGAATGCTACTTATTTGTATTTTCATTTTTATCAAGAAGGTGGTACTTTTTATGCATATTTTACAGACACTGGTTTTGTTACTAAGTTTTTGTTTAATGTTTATTTAGGCATGGCACTTTCACACTATTATGTCATGCCTCTGACTTGTATTCGTAGGGCTAAAGACGGTTTTAGTCCAGAATATTGGGTTACACCCCTCACTCCTAGACAATATTTACTCGCTTTCAATCAAGATGGTATTATTTTTAATGCTGTTGATTGTATGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACAATCTATAGCACCACCCACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAATTGCAGATGTTTACCGACGCAAACCTGATCTTCCCAATTGTAATATAGAAGCTTGGCTTAATGATAAGTCAGTGCCCTCCCCATTAAATTGGGAACGTAAGACATTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCAGACTCATTTACTTGTAATAATATTGATGCTGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCTATACCCAATCGCAGGAAGGTTGACCTACAATTGGGTAATTTGGGCTATTTGCAGTCATCCAACTATAGAATTGATACTACTGCAACAAGTTGTCAGTTGTATTATAATTTACCTGCTGCTAATGTCTCTGTTAGCAGGTTTAATCCTTCTACTTGGAATAAGAGATTTGGTTTTATAGAAGATTCTGTTTTTAAACCTCAACCTGCAGGTGTTCTTACCAATCATGATGTAGTTTATGCCCAACATTGTTTTAAAGCTCCTAAAAATTTCTGTCCGTGT------------AGTTCCTGTTCTGGT---------------------------AAAAATAATGGTATAGGCACTTGTCCTGCAGGTACTAATTCTTTAACTTGTGAT------------AAT------------------TTATGTACTCTTGATCCTATTACACTTAAA---GCTCCAGATACTTAT---------AAGTGTCCCCAATCTAAATCTTTAGTTGGTATAGGTGAGCACTGTTCGGGTCTTGCTGTTAAAAGTGATTATTGTGGAAACAATTCTTGTACTTGCCAACCACAAGCATTTTTGGGTTGGTCTGCAGACTCTTGTTTACAAGGAGACAAGTGTAATATTTTTGCTAATTTCATTTTGCATGATGTTAATAATGGTCTTACTTGTTCCACTGATTTACAAAAAGCTAACACAGAAATAGAACTTGGTGTTTGTGTTAATTATGACCTCTATGGTATTTCAGGCCAAGGCATTTTTGTTGAGGTTAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAACCTCTACGGTTTTAGAGACTACATAACAAACAGAACTTTTATGATTCATAGTTGCTATAGCGGTCGTGTTTCTGCGGCCTATCATGCCAATTCTTCCGAACCAGCATTGCTATTTCGGAATATTAAATGCAACTACGTTTTTAATAATAGTCTTACACGACAGCTGCAACCCATTAACTATTCGTTTGATAGTTATCTTGGTTGTGTTGTCAATGCTTATAATAGTACTGCTATTTCTGTCCAAACATGTGATCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTTTAAAAACAGACGAAGTCGTAGAGCGATCACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAATGATAGTTTGGAACCTGTAGGTGGTTTGTATGAAATTCAAATACCTTCAGAGTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCCAAAGTTACTATTGATTGTGCTGCATTTGTCTGTGGTGATTATGCAGCATGTAAATTACAGTTGGTTGAATATGGTAGTTTCTGTGATAACATTAATGCCATACTCACAGAAGTAAATGAACTACTTGATACTACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTTACTCTTAGCACTAAGCTTAAAGATGGTGTTAATTTCAATGTAGACGACATCAATTTTGCCCCTGTATTAGGTTGTCTAGGCAGCGAATGTAGTAAAGCTTCCAGTAGATCTGCTATAGAGGATTTACTTTTTGATAAAGTAAAGTTATCTGATGTCGGTTTCGTTGAGGCTTATAATAATTGTACAGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAAAGGCATCAAAGTGTTACCTCCACTGCTCTCAGAAAATCAGATCAGTGGATATACTTTGGCTGCCACCTCTGCTAGTCTATTTCCTCCTTGGACAGCAGCAGCAGGTGTACCATTTTATTTAAATGTTCAGTATCGCATTAATGGGCTTGGTGTCACCATGGATGTGCTAAGTCAAAATCAAAAGCTTATTGCTAATGCATTTAACAATGCCCTTCATGCTATTCAGCAAGGGTTCGATGCAACTAATTCTGCTTTAGTTAAAATTCAAGCTGTTGTTAATGCAAATTCTGAAGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTGCTTCTTTACAAGAAATTCTATCTAGACTTGATGCTCTTGAAGCGGAAGCTCAGATAGATAGACTTATTAATGGTCGTCTCACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGATTCTACACTGGTAAAATTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCATCTAGGATAAATTTCTGTGGTAATGGTAATCATATTATATCATTAGTGCAGAATGCTCCATATGGTTTGTATTTTATCCACTTTAATTATGTCCCTACTAAGTATGTCACAGCGAAGGTTAGTCCTGGTCTGTGCATTGCTGGTAATAGAGGTATAGCTCCTAAGAGTGGTTATTTTGTTAATGTAAATAATACTTGGATGTACACTGGTAGTGGTTATTACTACCCTGAACCTATAACT---GAAAATAATGTTGTTGTTATGAGTACCTGCGCTGTTAATTATACTAAAGCGCCGTATGTAATGCTGAACACTTCAATACCCAACCTTCCTGATTTTAAGGAAGAGTTGGACCAATGGTTCAAAAATCAAACATCAGTGGCACCAGATTTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGTTGAAATGAATAGGTTACAGGAGGCAATAAAAGTTTTAAATCATAGCTACATCAATCTCAAGGACATTGGTACATATGAATATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATCTGCCTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGATACCAGGAGTTAGTAATCAAAACTTCACATGACGAC >4_17_25_S_AVZ61109_1_2017_04_USA_Cattle_Betacoronavirus_1 ATGTTTTTGATACTTTTAATTTCCATACCAACTGCTTTTGCTGTTATAGGAGATTTAAAGTGTACT---------------ACAGTTTCCATTAATGATGTTGACACCGGTGCTCCTTCTATTAGCACTGATATTGTCGATGTTACTAATGGTTTAGGTACTTATTATGTTTTAGATCGTGTGTATTTAAATACTACGTTGTTGCTTAATGGTTACTACCCTACTTCAGGTTCTACATATCGTAATATGGCACTGAAGGGAACTTTACTATTGAGCACACTGTGGTTTAAACCACCTTTTCTTTCTGATTTTACTAATGGTATTTTTGCTAAGGTCAAAAATACCAAGGTTATT---AAAGATGGTGTAATGTATAGTGAGTTTCCTGCTATAACTATAGGTAGTACTTTTGTAAATACATCCTATAGTGTGGTAGTACAACCACATACTACCATTTCG------------GGTAATAAAGTACAAGGTTTCTTAGAGATCTCTGTTTGCCAGTATACTATGTGCGAGTACCCACATACGATTTGTCATCCTAATCTGGGTAATAAACGCGTAGAACTATGGCATTGGGATACAGGTGTTGTTTCCTGTTTATATAAGCGTAATTTCACATACGATGTGAATGCTGATTATTTGTATTTTCATTTTTATCAAGAAGGTGGTACTTTTTATGCATATTTTACAGACACTGGTGTTGTTACTAAGTTTCTGTTTAATGTTTATTTAGGCACGGTGCTTTCACATTATTATGTCATGCCTTTGACTTGTAATAGT------------GCTTTGACTTTAGAATATTGGGTTACACCCCTCACTTCTAAACAATATCTACTAGCTTTCAATCAAGACGGTGTTATTTTTAATGCTGTTGATTGTAGGAGTGATTTTATGAGTGAGATTAAGTGTAAAACACTATCTATAGCACCATCTACTGGTGTTTATGAATTAAACGGTTACACTGTTCAGCCAATCGCAGATGTTTACCGACGTATACCTAATCTTCCCGATTGTAATATTGAGGCTTGGCTTAATGATAAGTCGGTGCCCTCTCCATTAAATTGGGAACGTAAGACCTTTTCAAATTGTAATTTTAATATGAGCAGCCTGATGTCTTTTATTCAGGCGGACTCATTTACTTGTAATAATATTGATGCTGCTAAGATATATGGTATGTGTTTTTCCAGCATAACTATAGATAAGTTTGCAATACCCAATGGTAGGAAGGTTGACCTACAATTGGGTAATTTGGGTTATTTGCAGTCTTTTAACTATAGAATCGATACTACTGCCACAAGTTGTCAGTTATATTATAATTTACCTGCTGCTAATGTTTCTGTTAGCAGGTTTAATCCTTCTACTTGGAATAGGAGATTTGGTTTTACAGAACAATCTGTTTTTAAGCCTCAACCTGCAGGTGTTTTTACTGATCATGATGTTGTTTATGCACAACATTGTTTTAAAGCTCCCACAAATTTCTGTCCGTGTAAATTGGATGGGTCTTTGTGTGTAGGTAGTGGTTCTGGTATAGATGCTGGTTATAAAACTACTGGCATAGGCACTTGTCCTGCAGGTACTAATTATTTAACTTGCTAT------------AATGCTGCCCAATGTGATTGTTTGTGCACTCCAGACCCCATTACATCTAAA---GCTACAGGGTCTTAT---------AAGTGCCCCCAAACTAAATATTTAGTTGGCATAGGTGAGCACTGTTCGGGTCTTGCTATTAAAAGTGATTATTGTGGAGGTAACCCTTGTAGTTGCCAACCACAAGCATTTTTGGGTTGGTCTGTTGACTCTTGTTTACAAGGGGATAGGTGTAATATTTTTGCTAATTTTATTTTGCATGATGTTAATAGTGGTACTACTTGTTCTACTGATTTACAAAAATCAAACACAGACATAATTCTTGGTGTTTGTGTTAATTATGATCTTTATGGTATTACTGGCCAAGGGATTTTTGTTGAGGTTAATGCGACTTATTATAATAGTTGGCAGAACCTTTTATATGATTCTAATGGTAATCTCTATGGTTTTAGAGACTACTTAACAAATAGAACTTTTATGATTCGTAGTTGCTATAGTGGTCGTGTTTCAGCGGCCTTTCATGCTAACTCTTCCGAACCAGCATTGCTATTTCGGAATATCAAATGCAACTACGTTTTTAATAACACTCTTTCACGACAGCTGCAACCTATTAACTAT---TTTGATAGCTATCTTGGTTGTGTTGTCAATGCTGATAATAGTACTTCTAGTGTTGTTCAAACATGTGATCTCACAGTAGGTAGTGGTTACTGTGTGGATTACTCTACAAAAAGACGAAGTCGTAGATCGATTACCACTGGTTATCGGTTTACTAATTTTGAGCCATTTACTGTTAATTCAGTAAATGATAGTTTAGAACCTGTAGGTGGTTTGTATGAAATTCAAATACCTTCAGAGTTTACTATAGGTAATATGGAGGAGTTTATTCAAACAAGCTCTCCTAAAGTTACTATTGATTGTTCTGCTTTTGTCTGTGGTGATTATGCAGCATGTAAATCACAGTTGGTTGAATATGGTAGCTTCTGTGACAATATTAATGCTATACTCACAGAAGTAAATGAATTACTTGACACTACACAGTTGCAAGTAGCTAATAGTTTAATGAATGGTGTCACTCTTAGCACTAAGCTTAAAGATGGCGTTAATTTCAATGTAGATGACATCAATTTTTCCCCTGTATTAGGTTGTTTAGGAAGCGATTGCAATAAAGTTTCCAGTAGATCTGCTATAGAGGACTTACTTTTTTCTAAAGTAAAGTTATCTGATGTCGGTTTTGTTGAGGCTTATAATAATTGTACTGGAGGTGCCGAAATTAGGGACCTCATTTGTGTGCAAAGTTATAATGGTATCAAGGTGTTGCCTCCACTGCTCTCTGAAAATCAGATCAGTGGATACACTTTGGCTGCCACCTCTGCTAGCCTGTTTCCTCCATGGTCAGCAGCAGCAGGTGTACCATTCTATTTAAATGTTCAGTATCGTATTAATGGTATTGGTGTTACCATGGATGTGCTAAGTCAAAACCAAAAGCTTATTGCTAATGCATTTAACAATGCTCTTGGTGCTATCCAGGAAGGGTTTGATGCTACCAATTCTGCTTTAGTTAAAATTCAAGCTGTTGTTAATGCAAACGCTGAAGCTCTTAATAACTTATTGCAACAACTCTCTAATAGATTTGGTGCTATAAGTTCTTCTTTACAAGAAATTCTATCTAGACTGGATGCTCTTGAAGCGCAAGCTCAGATAGACAGGCTTATTAATGGGCGTCTTACCGCTCTTAATGCTTATGTTTCTCAACAGCTTAGTGACTCTACACTAGTAAAGTTTAGTGCAGCACAAGCTATGGAGAAGGTTAATGAATGTGTCAAAAGCCAATCATCTAGGATAAATTTTTGTGGTAATGGTAATCATATTATATCATTAGTGCAGAATGCTCCATATGGTTTGTATTTCATCCACTTTAGCTATGTCCCTACTAAGTATGTCACTGCGAAGGTTAGTCCCGGTCTGTGCATTGCTGGTGATAGAGGTATAGCCCCTAAGAGTGGTTATTTTGTTAATGTAAATAATACTTGGATGTTCACTGGTAGTGGTTATTACTACCCTGAACCTATAACT---GGAAATAATGTTGTTGTTATGAGTACCTGTGCTGTTAACTATACTAAAGCGCCGGATGTAATGCTGAACATTTCAACACCCAACCTCCCTGATTTTAAGGAAGAGTTGGATCAATGGTTTAAAAACCAAACATCAGTGGCACCAGATTTGTCACTTGATTATATAAATGTTACATTCTTGGACCTACAAGATGAAATGAATAGGTTACAGGAGGCAATAAAAGTTTTAAATCAGAGCTACATCAATCTCAAGGACATTGGTACATATGAGTATTATGTAAAATGGCCTTGGTATGTATGGCTTTTAATTGGCTTTGCTGGTGTAGCTATGCTTGTTTTACTATTCTTCATATGCTGTTGTACAGGATGTGGGACTAGTTGTTTTAAGAAATGTGGTGGTTGTTGTGATGATTATACTGGACACCAGGAGTTAGTAATTAAAACATCACATGAAGAC
>TCG_2_S_BBM61287_1_2006_12_Japan_Unknown_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCT-----TVSINDVDTGVPSISTDTVDVTNGLGTYYVLDRVYLNTTLLLNGYYPTSGSTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAKVKNTKVI-KDGVMYSEFPAITIGSTFVNTSYSVVVQPHTTIL----GNKLQGFLEISVCQYTMCEYPNTICNPNLGNQRVELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVTKFLFNVYLGTVLSHYYVMPLTCNS----ALTLEYWVTPLTSKQYLLAFNQDGVIFNAVDCKSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPNLPDCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQLGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQSVFKPQPAGVFTDHDVVYAQHCFKAPTNFCPCKMDGSLCVGSGSGIDAGYKNTGIGTCPAGTNYLTCHNAAQCDCLCTPDPITSKATGPHKCPQAKYLVGIGEHCSGLAIKSDHCGGNPCSCQPQAFLGWSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIILGVCVNYDLYGITGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHANSSEPALLFRNIKCNYVFNNTLSRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSTKRRSRRSITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTIDCFAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIRDLICVQSYNGIKVLPPLLSENQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGVTMDVLSQNQKLIANAFNNALGAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFGAISSSLQEILSRLDALEAQAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPFGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAPKSGYFVNVNNTWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKEELDQWFKNQTSVAPDLSLDYINVTFLDLQDEMNRLQEAIKVLNQSYINLKDIGTYEYYVKWPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHED >SHG_2_S_BBM61207_1_2014_09_Japan_Unknown_Betacoronavirus_1 MFLILLISLSTAFAVIGDLKCT-----TVSINDVDTGVPSISTDTVDVTNGLGTYYVLDRVYLNTTLLLNGYYPTSGSTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAKVKNTKVI-KGGVMYSEFPAITIGSTFVNTSYSVVVQPHTTIL----DNKLQGFLEISVCQYTMCEYPNTICNPNLGNQRLELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVTKFLFNVYLGTVLSHYYVMPLTCNS----ALTLEYWVTPLTSKQYLLAFNQDGVIFNAVDCKSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPNLPDCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQLGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQSVFKPQPAGVFTDHDVVYAQHCFKAPTNFCPCKLDGSLCVGSGSGIDAGYKNTGIGTCPAGTNYLTCHNAAQCDCLCTPDPITSKATGPHKCPQTKYLVGIGEHCSGLAIKSDHCGGNPCSCQPQAFLGWSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIILGVCVNYDLYGITGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHANSSEPALLFRNIKCNYVFNNTLSRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSTKRRSRRSITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTIDCSAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIRDLICVQSYNGIKVLPPLLSENQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGVTMDVLSQNQKLIANAFNNALGAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFGAISSSLQEILSRLDALEAQAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAPKSGYFVNVNNTWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKEELDQWFKNQTSVAPDLSLDYINVTFLDLQYEMNRLQEAIKVLNQSYINLKDIGTYEYYVKWPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHED >OC43_human_USA_901_54_1990_S_AGT51690_1_1990_01_23_USA_Human_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCPLDTSYKGTFNNKDTGPPFISTDTVDVTNGLGTYYVLDRVYLNTTLFLNGYYPTSGSTYRNMALKGTDKLSTLWFKPPFLSDFINGIFAKVKNTKVF-KDGVMYSEFPAITIGSTFVNTSYSVVVQPRTINS-QDGDNKLQGLLEVSVCQYNMCEYPHTICHPKLGNHFKELWHLDTGVVSCLYKRNFTYDVNANYLYFHFYQEGGTFYAYFTDTGVVTKFLFNVYLGMALSHYYVMPLTCISRRDIGFTLEYWVTPLTSRQYLLAFNQDGIIFNAVDCMSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPDLPNCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNSRKVDLQLGNLGYLQSSNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFVPQPTGVFTNHSVVYAQHCFKAPKNFCPCKLNGS-CPG---------KNNGIGTCPAGTNYLTCDN------LCTLDPITFKAPGTYKCPQTKSLVGIGEHCSGLAVKSDYCGGNSCTCQPQAFLGWSADSCLQGDKCNIFANLILHDVNSGLTCSTDLQKANTDIILGVCVNYDLYGISGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIRSCYSGRVSAAFHANSSEPALLFRNIKCNYVFNNSLTRQLQPINYSFDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRRSRRALTTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTIDCAAFVCGDYAACKLQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSPVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVEAYNNCTGGAEIRDLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGVTMDVLSQNQKLIANAFNNALYAIQQGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFGAISASLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFNYVPTKYVTAKVSPGLCIAGNRGIAPKSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFKEELDQWFKNQTSVAPDLSLDYINVTFLDLQVEMNRLQEAIKVLNHSYINLKDIGTYEYYVKWPWYVWLLICLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD >10290_2010_S_AIV42005_1_2010_07_China_Human_Betacoronavirus_1 MFLILLISLPTAFAVIGDLNCPLDPRLKGSFNNRDTGPPSISTDTVDVTNGLGTYYVLDRVYLNTTLFLNGYYPTSGSTYRNMALKGTDLLSKLWFKPPFLSDFINGIFAKVKNTKVF-KDGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEYPHTICHPKLGNHFKELWHSDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGFVTKFLFNVYLGMALSHYYVMPLTCISRLDIGFTLEYWVTPLTPRQYLLAFNQDGIIFNAVDCMSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPDLPNCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNRRKVDLQLGNLGYLQSSNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFVPQPTGVFTNHSVVYAQHCFKAPKNFCPC---S-SCPG---------KNNGLGTCPAGTNHLTCDN------LCTLDPITFKAPDTYKCPQTKSLVGIGEHCSGLAVKSDYCGNNSCTCQPQAFLGWSADSCLQGDKCNIFANFILHDVNNGLTCSTDLQKANTEIELGVCVNYDLYGISGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIHSCYSGRVSAAYHANSSEPALLFRNIKCNYVFNNSLTRQLQPINYSFDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRRSRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTIDCAAFVCGDYAACKLQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSPVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVEAYNNCTGGAEIRDLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPLYINVQYRINGLGVTMDVLSQNQKLIANAFNNALHAIQQGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFGAISASLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFNYVPTKYVTAKVSPGLCIAGNRGIAPKSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFKEELDQWFKNQTSVAPDLSLDYINVTFLDLQVEMNRLQEAIKVLNHSYINLKDIGTYEYYVKWPWYVWLLICLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD >UNKNOWN_DQ915164_S_ABI93999_2_NA_USA_Alpaca_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCT-----TVSINDVDTGVPSISTDTVDVTNGLGTYYVLDRVYLNTTLLLNGYYPTSGSTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAKVKNTKVI-KDGVMYSEFPAITIGSTFVNTSYSVVVQPHTTIL----GNKLQGFLEISVCQYTMCEYPNTICNSNLGNRRVELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVTKFLFNVYLGTVLSHYYVMPLTCNS----ALTLEYWVTPLTSKQYLLAFNQDGVIFNAVDCKSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPNLPDCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQLGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQSVFKPQPAGVFTDHDVVYAQHCFKAPTNFCPCKLDGSLCVGNGPGIDAGYKTSGIGTCPAGTNYLTCHNAAQCNCLCTPDPITSKATGPYKCPQTKYLVGIGEHCSGPAIKSDYCGGNPCTCQPQAFLGWSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIILGVCVNYDLYGITGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHANSSEPASLFRNIKCNYVFNNTLSRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSTKRRSRRSITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTIDCSAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIRDLICVQSYNGIKVLPPLLSDNQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGVTMDVLSQNQKLIANAFNNALGAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFGAISSSLQEILSRLDALDAQAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGGRGIAPKSGYFVNVNNTWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKEELDQWFKNQTSVAPDLSLDYINVTFLDLQDEMNRLQEAIKVLNQSYINLKDIGTYEYYVKWPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHED >Buffalo_coronavirus_B1_24F_S_ANJ04717_1_2014_10_01_Bangladesh_Buffalo_Betacoronavirus_1 MFLILLISLPMAFAVIGDLKCT-----TVSINDVDTGVPSISTDTVDVTNGLGTYYVLDRVYLNTTLLLNGYYPTSGSTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAKVKNTKFI-KDGVKYSEFPAITIGSTFVNTSYSVVVQPHTFNL----GNKLQGFLEISVCQYTMCEYPNTICNPNLGNQRVELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVTKFLFNVYLGTVLSHYYVMPLTCNS----ALTLEYWVTPLTSKQYLLAFNQDGVIFNAVDCKSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPNLPDCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQLGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQFVFKPQPLGVFTDHDVVFAQHCFKAPTNFCPCKLDGSLCVGTGSGIDAGYKNTGIGTCPAGTNYLTCHNAAQCDCLCTPDPITSKATGPYKCPQTKYLVGIGEHCSGLAIKSDYCGGNPCSCQPQAFLGWSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIILGVCVNYDLYGITGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHANSSEPALLFWNIKCNYVFNNTLSRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSIKRRSRRSITTGYRFTNFEPFTVKSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTIDCSAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIRDLICVQSYNGIKVLPPLLSENQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGVTMDVLSQNQKLIANAFNNALTAIQNGFDATNSALVKIQSVVNANAEALNNLLQQLSNRFGAISSSLQEILSRLDALEAQAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAPKSGYFLNVNNTWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKEELDQWFKNQTSVAPDLSLDYINVTFLDLQDEMNRLQEAIKVLNQSYINLKDIGTYEYYVKWPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHDD >HCoV_OC43_Seattle_USA_SC831_2016_NA_APU51916_1_2016_USA_Human_Betacoronavirus_1 MFLILLISLPTAFAVIGDLNCTLDPRLKGSFNNRDTGPPSISIDTVDVTNGLGTYYVLDRVYLNTTLFLNGYYPTSGSTYRNMALKGTDLLSTLWFKPPFLSDFINGIFAKVKNTKVF-KDGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEYPHTICHPNLGNHFKELWHYDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGFVTKFLFNVYLGMALSHYYVMPLTCIRRPKDGFSLEYWVTPLTPRQYLLAFNQDGIIFNAVDCMSDFMSEIKCKTQSIAPPTGVYELNGYTVQPVADVYRRKPDLPNCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNRRKVDLQLGNLGYLQSSNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFVPQPTGVFTNHSVVYAQHCFKAPKNFCPC----SSCPG---------KNNGIGTCPAGTNSLTCDN------LCTLDPITLKAPDTYKCPQSKSLVGIGEHCSGLAVKSDYCGNNSCTCQPQAFLGWSADSCLQGDKCNIFANFILHDVNNGLTCSTDLQKANTEIELGVCVNYDLYGISGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIHSCYSGRVSAAYHANSSEPALLFRNIKCNYVFNNSLTRQLQPINYSFDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRRSRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTIDCAAFVCGDYAACKLQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSPVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVEAYNNCTGGAEIRDLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGVTMDVLSQNQKLIANAFNNALHAIQQGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFGAISASLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFNYVPTKYVTAKVSPGLCIAGNRGIAPKSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFKEELDQWFKNQTSVAPDLSLDYINVTFLDLQVEMNRLQEAIKVLNHSYINLKDIGTYEYYVKWPWYVWLLICLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD >OC43_human_USA_851_15_1985_S_AGT51412_1_1985_01_08_USA_Human_Betacoronavirus_1 MFLILLISLPMAFAVIGDLKCTSD---TSYINDVDTGVPPISTDTVDVTNGLGTYYVLDRVYLNTTLFLNGYYPTSGSTYRNMALKGSVLLSTLWFKPPFLSDFINGIFAKVKNTKVI-KDDVLYSEFPAITIGSTFVNTSYSVVVQPRTINL----DNKLQGLLEISVCQYNMCEYPHTICHPNLGNHRTELWHLDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVTKFLFNVYLGMALSHYYVMPLTCNSKRKDGFTLEYWVTPLTSRQYLLAFNQDGIIFNAVDCMSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPNLPNCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQLGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFKPQPAGVFTNHDVVYAQHCFKAPKNFCPCKLNGSLCVGSGPG-----KNNGIGTCPAGTNYLTCHN------LCNPDPITFT--GPYKCPQTKSLVGIGEHCSGLAVKSDYCGGNPCTCQPQAFLGWSADSCLQGDKCNIFANLILHDVNSGLTCSTDLQKANTDIILGVCVNYDLYGISGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIRSCYSGRVSAAFHANSSEPALLFRNIKCNYVFNNSLTRQLQPINY-FDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRRSRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTIDCAAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSPVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVEAYNNCTGGAEIRDLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGVTMDVLSQNQKLIANAFNNALDAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFGAISSSLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAPKSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSTPNLPDFREELDQWFKNQTSVAPDLSLDYINVTFLDLQVEMNRLQEAIKVLNQSYINLKYIGTYEYYVKWPWYVWLLIGLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD >5595_2007_S_AIV41975_1_2007_07_China_Human_Betacoronavirus_1 MFLILLISLPTAFAVIGDLNCPLDPRLKGSFNNRDTGPPSISTDTVDVTNGLGTYYVLDRVYLNTTLFLNGYYPTSGSTYRNMALKGTDKLSTLWFKPPFLSDFINGIFAKVKNTKVF-KDGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEYPHTICHPKLGNHFKELWHLDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGFVTKFLFNVYLGMALSHYYVMPLTCISRLDIGFTLEYWVTPLTPRQYLLAFNQDGIIFNAVDCMSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPDLPNCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNRRKVDLQLGNLGYLQSSNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFVPQPTGVFTNHSVVYAQHCFKAPKNFCPC---S-SCPG---------KNNGIGTCPAGTNYLTCDN------LCTLDPITFKAPDTYKCPQTKSLVGIGEHCSGLAVKSDYCGNNSCTCQPQAFLGWSADSCLQGDKCNIFANFILHDVNNGLTCSTDLQKANTEIELGVCVNYDLYGISGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIHSCYSGRVSAAYHANSSEPALLFRNIKCNYVFNNSLTRQLQPINYSFDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRRSRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTIDCAAFVCGDYAACKLQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSPVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVEAYNNCTGGAEIRDLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGVTMDVLSQNQKLIANAFNNALHAIQQGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFGAISASLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFNYVPTKYVTAKVSPGLCIAGNRGIAPKSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFKEELDQWFKNQTSVAPDLSLDYINVTFLDLQVEMNRLQEAIKVLNHSYINLKDIGTYEYYVKWPWYVWLLICLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD >IWT_16_S_BBM61117_1_2016_07_Japan_Unknown_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCT-----TVSINDVDTGVPSISTDTVDVTNGLGTYYVLDRVYLNTTLLLNGYYPTSGSTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAEVKNTKVI-KDGVMYSEFPAITIGSTFVNTSYSVVVQPHTTIL----GNKLQGFLEISVCQYTMCEYPNTICNPNLGNQRVELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVTKFLFNVYLGTVLSHYYVMPLTCNS----ALTLEYWVTPLTSKQYLLAFNQDGVIFNAVDCKSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPNLPDCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQLGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQSVFKPQPAGVFTDHDVVYAQHCFKAPTNFCPCKLDGSLCVGSGSGIDAGYKNTGIGICPAGTNYLTCHNAAQCDCLCTPDPITSKATGPHKCPQAKYLVGIGEHCSGLAIKSDHCGGNPCSCQPQAFLGWSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIIFGVCVNYDLYGITGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHANSSEPALLFRNIKCNYVFNNTLSRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSTKRRSRRSITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTIDCSAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIRDLICVQSYNGIKVLPPLLSDNQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGVTMDVLSQNQKLIANAFNNALGAIQEGFDATNSALVKIQSVVNANADALNNLLQQLSNRFGAISSSLQEILSRLDALEAQAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGARGIAPKSGYFVNVNNTWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKEELDQWFKNQTSVAPDLSLDYINVTFLDLQDEMNRLQEAIKVLNQSYINLKDIGTYEYYVKWPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHED >YC_55_S_AXX83351_1_2015_03_12_China_Unknown_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCPLDSR-TGSLNNIDTGPPSISTATVDVTNGLGTYYVLDRVYLNTTLFLNGYYPTSGSTYRNMALKGTDKLSTLWFKPPFLSDFINGIFAKVKNTKVF-KDGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEYPHTICHPNLGNHFKELWHMDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGVVTKFLFNVYLGMALSHYYVMPLTCISRRNIGFTLEYWVTPLTSRQYLLAFNQDGIIFNAVDCMSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPDLPNCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQLGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFKPQPAGVLTNHDVVYAQHCFKAPKNFCPCKSNSSLCVGSGPG-----KNNGIGTCPAGTNYLTCHN------LCNPDPITFT--GPYKCPQSKSLVGIGEHCSGLAVKSDYCGGNPCTCQPQAFLGWSADSCLQGDKCNIFANLILHDVNSGLTCSTDLQKANTDIKLGVCVNYDLYGISGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIRSCYSGRVSAAFHANSSEPALLFRNIKCNYVFNNSLTRQLQPINY-FDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRRSRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSDFTIGNMEEFIQTSSPKVTIDCAAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSSVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVAAYNNCTGGAEIRDLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGVTMDVLSQNQKLIANAFNNALDAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFGAISSSLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAPKSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFREELDQWFKNQTSVAPDLSLDYINVTFLDLQVEMNRLQEAIKVLNQSYINLKDIGTYEYYVKWPWYVWLLICLAGVAMLVLLFFICCCTGCGPSCFKKCGGCCDDYTGYQELVIKTSHDD >OC43_human_USA_991_19_1999_S_AGT51511_1_1999_01_15_USA_Human_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCPLDTSLKGSFNNRDTGSPSISTDTVDVTNGLGTYYVLDRVYLNTTLFLNGYYPTSGSTYRNMALKGTDKLSTLWFKPPFLSDFINGIFAKVKNTKVF-KDGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEYPHTICHPKLGNHFKELWHLDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGFVTKFLFNVYLGMALSHYYVMPLTCISRRDIGFTLEYWVTPLTSRQYLLAFNQDGIIFNAVDCMSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPDLPNCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQLGNLGYLQSSNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFVPQPTGVFTNHSVVYAQHCFKAPKNFCPCKLNGS-CPD---------KNNGIGTCPAGTNYLTCDN------LCTLDPITFKAPGTYKCPQTKSLVGIGEHCSGLAVKSDYCRGNSCTCQPQAFLGWSADSCLQGDKCNIFANLILHDVNSGLTCSTDLQKANTDIILGVCVNYDLYGISGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIRSCYSGRVSAAFHANSSEPALLFRNIKCNYVFNNSLTRQLQPINYSFDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVEYSKNRRSRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTIDCAAFVCGDYAACKLQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSPVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVEAYNNCTGGAEIRDLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGVTMDVLSQNQKLIANAFNNALYAIQQGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFGAISASLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFNYVPTKYVTAKVSPGLCIAGNRGIAPKSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFKEELDQWFKNQTSVAPDLSLDYINVTFLDLQVEMNRLQEAIKVLNHSYINLKDIGTYEYYVKWPWYVWLLICLAGVAMFVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD >HCoV_OC43_Seattle_USA_SC2269_2016_NA_ARA15421_1_2016_USA_Human_Betacoronavirus_1 MFLILLISLPTAFAVIGDLNCTLDPRLKGSFNNRDTGPPSISIDTVDVTNGLGTYYVLDRVYLNTTLFLNGYYPTSGSTYRNMALKGTDLLSTLWFKPPFLSDFINGIFAKVKNTKVF-KDGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEYPHTICHPNLGNHFKELWHYDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGFVTKFLFNVYLGMALSHYYVMPLTCIRRPKDGFSLEYWVTPLTPRQYLLAFNQDGIIFNAVDCMSDFMSEIKCKTQSIAPPTGVYELNGYTVQPVADVYRRKPDLPNCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNRRKVDLQLGNLGYLQSSNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFVPQPTGVFTNHSVVYAQHCFKAPKNFCPC----SSCPG---------KNNGIGTCPAGTNSLTCDN------LCTLDPITLKAPDTYKCPQSKSLVGIGEHCSGLAVKSDYCGNNSCTCQPQAFLGWSADSCLQGDKCNIFANFILHDVNNGLTCSTDLQKANTEIELGVCVNYDLYGISGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIHSCYSGRVSAAYHANSSEPALLFRNIKCNYVFNNSLTRQLQPINYSFDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRRSRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTIDCAAFVCGDYAACKLQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSPVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVEAYNNCTGGAEIRDLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGVTMDVLSQNQKLIANAFNNALHAIQQGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFGAISASLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFNYVPTKYVTAKVSPGLCIAGNRGIAPKSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFKEELDQWFKNQTSVALDLSLDYINVTFLDLQVEMNRLQEAIKVLNHSYINLKDIGTYEYYVKWPWYVWLLICLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD >BJ_124_S_AXX83303_1_2015_05_06_China_Unknown_Betacoronavirus_1 MFLILLISLPTAFAVIGDLNCTLDPRLKGSFNNRDTGLPSISTDTVDVTNGLGTYYVLDRVYLNTTLFLNGYYPTSGSTYRNMALKGTDLLSTLWFKPPFLSDFINGIFAKVKNTKVF-KDGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEYPHTICHPNLGNHFKELWHLDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGFVTKFLFNVYLGMALSHYYVMPLTCIRRPKDGFSLEYWVTPLTPRQYLLAFNQDGIIFNAVDCMSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPDLPNCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNRRKVDLQLGNLGYLQSSNYRIDTTATSCQLYYNLPAANVSVSRFNPSIWNKRFGFIEDSVFVPQPTGVFTNHSVVYAQHCFKAPKNFCPC----SSCPG---------KNNGIGTCPAGTNSLTCDN------LCTLDPITLKAPDTYKCPQSKSLVGIGEHCSGLAVKSDYCGNNSCTCQPQAFLGWSADSCLQGNKCNIFANFILHDVNNGLTCSTDLQKANTEIELGVCVNYDLYGISGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIHSCYSGRVSAAYHANSSEPALLFRNIKCNYVFNNSLTRQLQPINYSFDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRRSRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTIDCAAFVCGDYAACKLQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSPVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVEAYNNCTGGAEIRDLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGVTMDVLSQNQKLIANAFNNALHAIQQGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFGAISASLQEIISRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFNYVPTKYVTAKVSPGLCIAGNRGIAPKSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFKEELDQWFKNQTSVAPDLSLDYINVTFLDLQVEMNRLQEAIKVLNHSYINLKDIGTYEYYVKWPWYVWLLICLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD >5240_2007_S_AIV41807_1_2007_05_China_Human_Betacoronavirus_1 MFLILLISLPTAFAVIGDLNCPLDPRLKGSFNNRDTGPPSISTDTVDVTNGLGTYYVLDRVYLNTTLFLNGYYPTSGSTYRNMALKGTDKLSTLWFKPPFLSDFINGIFAKVKNTKVF-KDGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEYPHTICHPKLGNHFKELWHLDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGFVTKFLFNVYLGMALSHYYVMPLTCISRLDIGFTLEYWVTPLTPRQYLLAFNQDGIIFNAVDCMSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPDLPNCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNRRKVDLQLGNLGYLQSSNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFVPQPTGVFTNHSVVYAQHCFKAPKNFCPC---S-SCPG---------KNNGIGTCPAGTNYLTCDN------LCTLDPITFKAPDTYKCPQTKSLVGIGEHCSGLAVKSDYCGNNSCTCQPQAFLGWSADSCLQGDKCNIFANFILHDVNNGLTCSTDLQKANTEIELGVCVNYDLYGISGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIHSCYSGRVSAAYHANSSEPALLFRNIKCNYVFNNSLTRQLQPINYSFDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRRSRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTIDCAAFVCGDYAACKLQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSPVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVEAYNNCTGGAEIRDLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGVTMDVLSQNQKLIANAFNNALHAIQQGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFGAISASLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFNYVPTKYVTAKVSPGLCIAGNRGIAPKSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFKEELDQWFKNQTSVAPDLSLDYINVTFLDLQVEMNRLQEAIKVLNHSYINLKDIGTYEYYVKWPWYVWLLICLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD >SHG_4_S_BBM61227_1_2015_10_Japan_Unknown_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCT-----TVSINDVDTGVPSISTDTVDVTNGLGTYYVLDRVYLNTTLLLNGYYPTSGSTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAKVKNTKVI-KDGVMYSEFPAITIGSTFVNTSYSVVVQPHTTIL----GNKLQGFLEISVCQYTMCEYPNTICNPNLGNQRVELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVTKFLFNVYLGTVLSHYYVMPLTCNS----ALTLEYWVTPLTSKQYLLAFNQDGVIFNAVDCKSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPNLPDCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQLGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQSVFKPQPAGVFTDHDVVYAQHCFKAPTNFCPCKLDGSLCVGSGSGIDAGYKNTGIGICPAGTNYLTCHNAAQCDCLCTPDPITSKATGPHKCPQAKYLVGIGEHCSGLAIKSDHCGGNPCSCQPQAFLGWSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIILGVCVNYDLYGITGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHANSSEPALLFRNIKCNYVFNNTLSRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSTKRRSRRSITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTIDCSAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIRDLICVQSYNGIKVLPPLLSENQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGVTMDVLSQNQKLIANAFNNALGAIQEGFDATNFALVKIQSVVNANADALNNLLQQLSNRFGAISSSLQEILSRLDALEAQAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAPKSGYFVNVNNTWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKEELDQWFKNQTSVAPDLSLDYINVTFLDLQDEMNRLQEAIKVLNQSYINLKDIGTYEYYVKWPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHED >MY_U413_12_S_AQN78680_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 MFLILLISLPTAFAVIGDLNCPLDPKLKGSFNNRDTGPPSISTDTVDVTNGLGTYYVLDRVYLNTTLFLNGYYPTSGSTYRNMALKGTDLLSKLWFKPPFLSDFINGIFAKVKNTKVFGKDGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEHPHTSCHPNLGNHFKELWHLDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGFVTKFLFNVYLGMALSHYYVMPLTCISRRDIGFTLEYWVTPLTPRQYLLAFNQDGIIFNAVDCMSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPDLPNCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNRRKVDLQLGNLGYLQSSNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFVPQPTGVFTNHSVVYAQHCFKAPKNFCPC---S-SCPG---------KNNGIGTCPAGTNYLTCDN------LCTLDPITFKAPDTYKCPQTKSLVGIGEHCSGLAVKSDYCGNNSCTCQPQAFLGWSADSCLQGDKCNIFANFILHDVNNGLTCSTDLQKANTEIELGVCVNYDLYGISGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIHSCYSGRVSAAYHANSSEPALLFRNIKCNYVFNNSLTRQLQPINYSFDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRRSRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTIDCAAFVCGDYAACKLQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSPVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVEAYNNCTGGAEIRDLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGVTMDVLSQNQKLIANAFNNALHAIQQGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFGAISASLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFNYVPTKYVTAKVSPGLCIAGNRGIAPKSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFKEELDQWFKNQTSVAPLLSLDYINVTFLDLQVEMNRLQEAIKVLNHSYINLKDIGTYEYYVKWPWYVWLLISLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD >TCG_6_S_BBM61377_1_2007_12_Japan_Unknown_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCT-----TVSINDVDTGVPSISTDTVDVTNGLGTYYVLDRVYLNTTLLLNGYYPTSGSTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAKVKNTKVI-KDGVMYSEFPAITIGSTFVNTSYSVVVQPHTTIL----GNKLQGFLEISVCQYTMCEYPNTICNPNLGNQRVELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVTKFLFNVYLGTVLSHYYVMPLTCNS----ALTLEYWVTPLTSKQYLLAFNQDGVIFNAVDCKSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPNLPDCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQLGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQSVFKPQPAGVFTDHDVVYAQHCIKAPTNFCPCKLDGSLCVGNGFGIDAGYKNTGIGTCPAGTNYLTCHNAAQCDCLCTPDPITSKATGPHKCPQTKYLVGIGEHCSGLAIKSDHCGGNPCSCQPQAFLGWSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIILGVCVNYDLYGITGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHANSSEPALLFRNIKCNYVFNNTLSRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSTKRRSRRSITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTIDCSAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIRDLICVQSYNGIKVLPPLLSQNQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGVTMDVLSQNQKLIANAFNNALGAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFGAISSSLQEILSRLDALEAQAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGGRGIAPKSGYFVNVNNSWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKEELDQWFKNQTSVAPDLSLDYINVTFLDLQDEMNRLQEAIKVLNQSYINLKDIGTYEYYVKWPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHED >DB2_NA_ABG89288_1_1983_NA_Cattle_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCT-----TVSINDVDTGVPSISTDTVDVTNGLGTYYVLDRVYLNTTLLLNGYYPTSGSTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAKVKNTKVI-KNGVMYSEFPAITIGSTFVNTSYSVVVQPHTTNL----DNKLQGLLEISVCQYTMCEYPNTICHPTLGNQRVELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVTKFLFNVYLGTVLSHYYVMPLTCDS----AMTLEYWVTPLTSKQYLLAFNQDGVIFNAVDCKSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPNLPDCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQLGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQSVFKPQPAGVFTAHDVVYAQHCFKAPTNFCPCKLDGSLCVGNGPGIDAGYKTSGIGTCPAGTNYLTCHNAAQCDCLCTPDPISSKATGPYKCPQTKYLVGIGEHCSGLAIKSDYCGGNPCTCQPQAFLGWSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIILGVCVNYDLYGITGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHANSSEPALLFRNIKCNYVFNNTLSRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSTKRRSRRSITTGYRFTNFEPFTVNSVNDSLQPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTIDCSAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIRDLICVQSYNGIKVLPPLLSENQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGVTMDVLSQNQKLIANAFNNALGAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFGAISSSLQEILSRLDALEAQAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAPKSGYFVNVNNTWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKEELDQWFKNQTSVAPHLSLDYINVTFLDLQDEMNRLQEAIKVLNQSYINLKDIGTYEYYVKWPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHDD >IWT_22_S_BBM61137_1_2016_12_Japan_Unknown_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCT-----TVSINDVDTGVPSISTDTVDVTNGLGTYYVLDRVYLNTTLLLNGYYPTSGFTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAKVKNTKVI-KDGVMYSEFPAITIGSTFVNTSYSVVVQPHTTIL----GNKLQGFLEISVCQYTMCEYPNTICNPNLGNQRVELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVTKFLFNVYLGTVLSHYYVMPLTCNS----ALTLEYWVTPLTSKQYLLAFNQDGVIFNAVDCKSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPNLPDCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQLGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQSVFKPQPAGVFADHDVVYAQHCFKAPTNFCPCKLDGSLCVGSGSGIDAGYKNTGIGTCPAGTNYLTCHNAAQCDCLCTPDPITSKATGPHKCPQTKYLVGIGEHCSGLAIKSDHCGGNPCSCQPQAFLGWSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIILGVCVNYDLYGITGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHANSSEPALLFRNIKCNYVFNNTLSRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSTKRRSRRSITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTIDCSAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIRDLICVQSYNGIKVLPPLLSENQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGVTMDVLSQNQKLIANAFNNALGAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFGAISSSLQEILSRLDALEAQAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAPKSGYFVNVNNTWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKEELDQWFKNQTSVAPDLSLDYINVTFLDLQDEMNRLQEAIKVLNQSYINLKDIGTYEYYVKWPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHED >3184A_2012_S_AIV41849_1_2012_03_China_Human_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCPLDSR-TGSLNNIDTGPPSISTATVDVTNGLGTYYVLDRVYLNTTLFLNGYYPTSGSTYRNMALKGTDKLSTLWFKPPFLSDFINGIFAKVKNTKVF-KDGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEYPHTICHPNLGNHFKELWHMDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGVVTKFLFNVYLGMALSHYYVMPLTCISRRNIGFTLEYWVTPLTSRQYLLAFNQDGIIFNAVDCMSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPDLPNCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQLGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFKPQPAGVLTNHDVVYAQHCFKAPKNFCPCKSNSSLCVGSGPG-----KNNGIGTCPAGTNYLTCHN------LCNPDPITFT--GPYKCPQTKSLVGIGEHCSGLAVKSDYCGGNPCTCQPQAFLGWSADSCLQGDKCNIFANLILHDVNSGLTCSTDLQKANTDIKLGVCVNYDLYGISGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIRSCYSGRVSAAFHANSSEPALLFRNIKCNYVFNNSLTRQLQPINY-FDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRRSRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSDFTIGNMEEFIQTSSPKVTIDCAAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSSVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVAAYNNCTGGAEIRDLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGVTMDVLSQNQKLIANAFNNALDAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFGAISSSLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAPKSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFREELDQWFKNQTSVAPDLSLDYINVTFLNLQFEMNRLQEAIKVLNQSYINLKDIGTYEYYVKWPWYVWLLICLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD >7_16_23_S_AVZ61129_1_2016_07_USA_Cattle_Betacoronavirus_1 MFLILLISLPMAFAVIGDLKCT-----TVSINDVDTGVPSISTDTVDVTNGLGTYYVLDRVYLNTTLLLNGYYPTSGSTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAKVKNTKVI-KDGVMYSEFPAITIGSTFVNTSYSVVVQPHTTIW----GNKLQGFLEISVCQYTMCEYPNTICNSNLGNQRVELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVTKFLFNVYLGTVLSHYYVMPLTCNS----ALTLEYWVTPLTSKQYLLAFNQDGVIFNAVDCKSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPNLPDCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQLGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQSVFKPQPAGVFTDHDVVYAQHCFKAPTNFCPCKLGGSLCVGNGPGIDAGYKTTGIGTCPAGTNYLTCYNAAQCDCLCTPDPITSKATGSYKCPQTKYLVGIGEHCSGLAIKSDHCGGNPCSCQPQAFLGWSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIILGVCVNYDLYGITGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHANSSEPALLFRNIKCNYVFNNTLLRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSTKRRSRRSITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTIDCSAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIRDLICVQSYNGIKVLPPLLSENQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGVTMDVLSQNQKLIANAFNNALGAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFGAISSSLQEILSRLDALEAQAQIDRLINGRLTALNAYVSQQLRDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAPKSGYFVNVNNTWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKEELDQWFKNQTSVAPDLSLDYINVTFLDLQDEMNRLQEAIKVLNQSYINLKDIGTYEYYVKWPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHED >IWT_3_S_BBM60967_1_2011_06_Japan_Unknown_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCT-----TVSINDVDTGVPSISTDTVDVTNGLGTYYVLDRVYLNTTLLLNGYYPTSGSTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAKVKNTKVI-KDGVMYSEFPAITIGSTFVNTSYSVVVQPHTTIL----GNKLQGFLEISVCQYTMCEYPNTICNPNLGNQRVELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVTKFLFNVYLGTVLSHYYVMPLTCNS----ALTLEYWVTPLTSKQYLLAFNQDGVIFNAVDCKSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPSLPDCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQLGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQSVFKPQPAGVFTDHDVVYAQHCFKAPTNFCPCKLDGSLCVGSGSGIDAGYKNTGIGTCPAGTNYLTCHNAAQCDCLCTPDPITSKATGPHKCPQAKYLVGIGEHCSGLAIKSDHCGGNPCSCQPQAFLGWSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIILGVCVNYDLYGITGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHSNSSEPALLFRNIKCNYVFNSTLSRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSTKRRSRRSITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTIDCSAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIRDLICVQSYNGIKVLPPLLSENQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGVTMDVLSQNQKLIANAFNNALGAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFGAISSSLQEILSRLDALEAQAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGGRGIAPKSGYFVNVNNSWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKEELDQWFKNQTSVAPDLSLDYINVTFLDLQDEMNRLQEAIKVLNQSYINLKDIGTYEYYVKWPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHED >IWT_26_S_BBM61177_1_2017_02_Japan_Unknown_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCT-----TVSINDVDTGVPSISTDTVDVTNGLGTYYVLDRVYLNTTLLLNGYYPTSGFTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAKVKNTKVI-KDGVMYSEFPAITIGSTFVNTSYSVVVQPHTTIL----GNKLQGFLEISVCQYTMCEYPNTICNPNLGNQRVELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVTKFLFNVYLGTVLSHYYVMPLTCNS----ALTLEYWVTPLTSKQYLLAFNQDGVIFNAVDCKSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPNLPDCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQLGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQSVFKPQPAGVFADHDVVYAQHCFKAPTNFCPCKLDGSLCVGSGSGIDAGYKNTGIGTCPAGTNYLTCHNAAQCDCLCTPDPITSKATGPHKCPQTKYLVGIGEHCSGLAIKSDHCGGNPCSCQPQAFLGWSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIILGVCVNYDLYGITGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHANSSEPALLFRNIKCNYVFNNTLSRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSTKRRSRRSITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTIDCSAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTFSTKLKDGVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIRDLICVQSYNGIKVLPPLLSENQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGVTMDVLSQNQKLIANAFNNALGAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFGAISSSLQEILSRLDALEAQAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAPKSGYFVNVNNTWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKEELDQWFKNQTSVAPDLSLDYINVTFLDLQDEMNRLQEAIKVLNQSYINLKDIGTYEYYVKWPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHED >1783A_10_S_AJC98135_1_2010_01_China_Human_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCPLDSR-TGSLNNIDTGPPSISTATVDVTNGLGTYYVLDRVYLNTTLFLNGYYPTSGSTYRNMALKGTDKLSTLWFKPPFLSDFINGIFAKVKNTKVF-KDGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEYPHTICHPKLGNHFKELWHMDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGVVTKFLFNVYLGMALSHYYVMPLTCISRRDIGFTLEYWVTPLTSRQYLLAFNQDGIIFNAVDCMSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPDLPNCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQLGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIENSVFKPQPAGVLTNHDVVYAQHCFKAPKNFCPCKLNSSLCVGSGPG-----KNNGIGTCPAGTNYLTCHN------LCNPDPITFT--GPYKCPQTKSLVGIGEHCSGLAVKSDYCGGNPCTCQPQAFLGWSADSCLQGDKCNIFANLILHDVNSGLTCSTDLQKANTDIKLGVCVNYDLYGISGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIRSCYSGRVSAAFHANSSEPALLFRNIKCNYVFNNSLIRQLQPINY-FDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRRSRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTIDCAAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSSVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVAAYNNCTGGAEIRDLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGVTMDVLSQNQKLIANAFNNALDAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFGAISSSLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAPKSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSTPNLPDFREELDQWFKNQTSVAPDLSLDYINVTFLDLQVEMNRLQEAIKVLNQSYINLKDIGTYEYYVKWPWYVWLLIGLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD >BJ_112_S_AXX83297_1_2015_04_22_China_Unknown_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCPLDSR-TGSLNNIDTGPPSISTATVDVTNGLGTYYVLDRVYLNTTLFLNGYYPTSGSTYRNMALKGTDKLSTLWFKPPFLSDFINGIFAKVKNTKVF-KDGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEYPHTICHPNLGNHFKELWHMDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGVVTKFLFNVYLGMALSHYYVMPLTCISRRNIGFTLEYWVTPLTSRQYLLAFNQDGIIFNAVDCMSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPDLPNCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQLGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFKPQPAGVLTNHDVVYAQHCFKAPKNFCPCKSNSSLCVGSGPG-----KNNGIGTCPAGTNYLTCHN------LCNPDPITFT--GPYKCPQTKSLVGIGEHCSGLAVKSDYCGGNPCTCQPQAFLGWSADSCLQGDKCNIFANLILHDVNSGLTCSTDLQKANTDIKLGVCVNYDLYGISGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIRSCYSGRVSAAFHANSSEPALLFRNIKCNYVFNNSLTRQLQPINY-FDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRRSRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSDFTIGNMEEFIQTSSPKVTIDCAAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSSVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVAAYNNCTGGAEIRDLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGVTMDVLSQNQKLIANAFNNALDAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFGAISSSLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAPKSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFREELDQWFKNQTSVAPDLSLDYINVTFLDLQVEMNRLQEAIKVLNQSYINLKDIGTYEYYVKWPWYVWLLICLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD >3269A_2012_S_AIV41843_1_2012_06_China_Human_Betacoronavirus_1 MFLILLISLPTAFAVIGDLNCPLDPKLKGSFNNRDTGLPSISTDTVDVTNGLGTYYVLDRVYLNTTLFLNGYYPTSGSTYRNMALKGTDLLSKLWFKPPFLSDFINGIFAKVKNTKVF-KDGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEHPHTSCHPNLGNHFKELWHLDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGFVTKFLFNVYLGMALSHYYVMPLTCISRRDIGFTLEYWVTPLTPRQYLLAFNQDGIIFNAVDCMSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPDLPNCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNRRKVDLQLGNLGYLQSSNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFVPQPTGVFTNHSVVYAQHCFKAPKNFCPC---S-SCPG---------KNNGIGTCPAGTNYLTCDN------LCTLDPITFKAPDTYKCPQTKSLVGIGEHCSGLAVKSDYCGNNSCTCQPQAFLGWSADSCLQGDKCNIFANFILHDVNNGLTCSTDLQKANTEIELGVCVNYDLYGISGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIHSCYSGRVSAAYHANSSEPALLFRNIKCNYVFNNSLTRQLQPINYSFDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYSKNRRSRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTIDCAAFVCGDYAACKLQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSPVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVEAYNNCTGGAEIRDLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGVTMDVLSQNQKLIANAFNNALHAIQQGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFGAISASLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFNYVPTKYVTAKVSPGLCIAGNRGIAPKSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFKEELDQWFKNQTSVAPHLSLDYINVTFLDLQVEMNRLQEAIKVLNHSYINLKDIGTYEYYVKWPWYVWLLISLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD >IWT_9_S_BBM60927_1_2012_04_Japan_Unknown_Betacoronavirus_1 MFLILLISLPTAFAVIGDLKCT-----TVSINDVDTGVPSISTDTVDVTNGLGTYYVLDRVYLNTTLLLNGYYPTSGSTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAKVKNTKVI-KDGVMYSEFPAITIGSTFVNTSYSVVVQPHTTIL----GNKLQGFLEISVCQYTMCEYPNTICNPNLGNQRVELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVTKFLFNVYLGTVLSHYYVMPLTCNS----ALTLEYWVTPLTSKQYLLAFNQDGVIFNAVDCKSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPNLPDCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQLGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQSVFKPQPAGVFTDHDVVYAQHCFKAPTNFCPCKLDGSLCVGSGSGIDAGYKNTGIGICPAGTNYLTCHNAAQCDCLCTPDPITSKATGPHKCPQAKYLVGIGEHCSGLAIKSDHCGGNPCSCQPQAFLGWSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIILGVCVNYDLYGITGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHANSSEPALLFRNIKCNYVFNNTLSRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSTKRRSRRSITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTIDCSAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIRDLICVQSYNGIKVLPPLLSENQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGVTMDVLSQNQKLIANAFNNALGAIQEGFDATNFALVKIQSVVNANADALNNLLQQLSNRFGAISSSLQEILSRLDALEAQAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAPKSGYFVNVNNTWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKEELDQWFKNQTSVAPDLSLDYINVTFLDLQDEMNRLQEAIKVLNQSYINLKDIGTYEYYVKWPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHED >HCoV_OC43_Seattle_USA_SC0839_2019_NA_QEG03767_1_2019_USA_Human_Betacoronavirus_1 MFLILLISLPTAFAVIGDLNCTLDPRLRGSFNNRDTGPPSISIDTVDVTNGLGTYYVLDRVYLNTTLFLNGYYPTSGSTYRNMALKGTDLLSTLWFKPPFLSDFINGIFAKVKNTKVF-KDGVMYSEFPAITIGSTFVNTSYSVVVQPRTINSTQDGVNKLQGLLEVSVCQYNMCEYPHTICHPNLGNHFKELWHYDTGVVSCLYKRNFTYDVNATYLYFHFYQEGGTFYAYFTDTGFVTKFLFNVYLGMALSHYYVMPLTCIRRAKDGFSPEYWVTPLTPRQYLLAFNQDGIIFNAVDCMSDFMSEIKCKTQSIAPPTGVYELNGYTVQPIADVYRRKPDLPNCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNRRKVDLQLGNLGYLQSSNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNKRFGFIEDSVFKPQPAGVLTNHDVVYAQHCFKAPKNFCPC----SSCSG---------KNNGIGTCPAGTNSLTCDN------LCTLDPITLKAPDTYKCPQSKSLVGIGEHCSGLAVKSDYCGNNSCTCQPQAFLGWSADSCLQGDKCNIFANFILHDVNNGLTCSTDLQKANTEIELGVCVNYDLYGISGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYITNRTFMIHSCYSGRVSAAYHANSSEPALLFRNIKCNYVFNNSLTRQLQPINYSFDSYLGCVVNAYNSTAISVQTCDLTVGSGYCVDYFKNRRSRRAITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTIDCAAFVCGDYAACKLQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFAPVLGCLGSECSKASSRSAIEDLLFDKVKLSDVGFVEAYNNCTGGAEIRDLICVQSYKGIKVLPPLLSENQISGYTLAATSASLFPPWTAAAGVPFYLNVQYRINGLGVTMDVLSQNQKLIANAFNNALHAIQQGFDATNSALVKIQAVVNANSEALNNLLQQLSNRFGAISASLQEILSRLDALEAEAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFNYVPTKYVTAKVSPGLCIAGNRGIAPKSGYFVNVNNTWMYTGSGYYYPEPITENNVVVMSTCAVNYTKAPYVMLNTSIPNLPDFKEELDQWFKNQTSVAPDLSLDYINVTFLDLQVEMNRLQEAIKVLNHSYINLKDIGTYEYYVKWPWYVWLLICLAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGYQELVIKTSHDD >4_17_25_S_AVZ61109_1_2017_04_USA_Cattle_Betacoronavirus_1 MFLILLISIPTAFAVIGDLKCT-----TVSINDVDTGAPSISTDIVDVTNGLGTYYVLDRVYLNTTLLLNGYYPTSGSTYRNMALKGTLLLSTLWFKPPFLSDFTNGIFAKVKNTKVI-KDGVMYSEFPAITIGSTFVNTSYSVVVQPHTTIS----GNKVQGFLEISVCQYTMCEYPHTICHPNLGNKRVELWHWDTGVVSCLYKRNFTYDVNADYLYFHFYQEGGTFYAYFTDTGVVTKFLFNVYLGTVLSHYYVMPLTCNS----ALTLEYWVTPLTSKQYLLAFNQDGVIFNAVDCRSDFMSEIKCKTLSIAPSTGVYELNGYTVQPIADVYRRIPNLPDCNIEAWLNDKSVPSPLNWERKTFSNCNFNMSSLMSFIQADSFTCNNIDAAKIYGMCFSSITIDKFAIPNGRKVDLQLGNLGYLQSFNYRIDTTATSCQLYYNLPAANVSVSRFNPSTWNRRFGFTEQSVFKPQPAGVFTDHDVVYAQHCFKAPTNFCPCKLDGSLCVGSGSGIDAGYKTTGIGTCPAGTNYLTCYNAAQCDCLCTPDPITSKATGSYKCPQTKYLVGIGEHCSGLAIKSDYCGGNPCSCQPQAFLGWSVDSCLQGDRCNIFANFILHDVNSGTTCSTDLQKSNTDIILGVCVNYDLYGITGQGIFVEVNATYYNSWQNLLYDSNGNLYGFRDYLTNRTFMIRSCYSGRVSAAFHANSSEPALLFRNIKCNYVFNNTLSRQLQPINY-FDSYLGCVVNADNSTSSVVQTCDLTVGSGYCVDYSTKRRSRRSITTGYRFTNFEPFTVNSVNDSLEPVGGLYEIQIPSEFTIGNMEEFIQTSSPKVTIDCSAFVCGDYAACKSQLVEYGSFCDNINAILTEVNELLDTTQLQVANSLMNGVTLSTKLKDGVNFNVDDINFSPVLGCLGSDCNKVSSRSAIEDLLFSKVKLSDVGFVEAYNNCTGGAEIRDLICVQSYNGIKVLPPLLSENQISGYTLAATSASLFPPWSAAAGVPFYLNVQYRINGIGVTMDVLSQNQKLIANAFNNALGAIQEGFDATNSALVKIQAVVNANAEALNNLLQQLSNRFGAISSSLQEILSRLDALEAQAQIDRLINGRLTALNAYVSQQLSDSTLVKFSAAQAMEKVNECVKSQSSRINFCGNGNHIISLVQNAPYGLYFIHFSYVPTKYVTAKVSPGLCIAGDRGIAPKSGYFVNVNNTWMFTGSGYYYPEPITGNNVVVMSTCAVNYTKAPDVMLNISTPNLPDFKEELDQWFKNQTSVAPDLSLDYINVTFLDLQDEMNRLQEAIKVLNQSYINLKDIGTYEYYVKWPWYVWLLIGFAGVAMLVLLFFICCCTGCGTSCFKKCGGCCDDYTGHQELVIKTSHED
Reading sequence file /data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10633_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/codeml/fasta/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10633_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1
Found 30 sequences of length 4161
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 4.4%
Found 417 informative sites.
Writing alignment of informative sites to: Phi.inf.sites
Writing list of informative sites to: Phi.inf.list
Calculating all pairwise incompatibilities...
Done: 0.0% 42.3% 73.0% 92.2% 99.8%100.0%
Using a window size of 80 with k as 8
Calculating analytical mean and variance
Doing permutation test for PHI
Doing permutation test for NSS
Doing Permutation test for MAXCHI
Writing alignment of polymorphic unambig sites to: Phi.poly.sites
Window size is 370 polymorphic sites
**p-Value(s)**
----------
NSS: 1.50e-02 (1000 permutations)
Max Chi^2: 0.00e+00 (1000 permutations)
PHI (Permutation): 0.00e+00 (1000 permutations)
PHI (Normal): 1.49e-04
#NEXUS
[ID: 7156068639]
begin taxa;
dimensions ntax=30;
taxlabels
OC43_human_USA_991_19_1999_S_AGT51511_1_1999_01_15_USA_Human_Betacoronavirus_1
YC_55_S_AXX83351_1_2015_03_12_China_Unknown_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC2269_2016_NA_ARA15421_1_2016_USA_Human_Betacoronavirus_1
MY_U413_12_S_AQN78680_1_2012_05_02_Malaysia_Human_Betacoronavirus_1
SHG_4_S_BBM61227_1_2015_10_Japan_Unknown_Betacoronavirus_1
TCG_6_S_BBM61377_1_2007_12_Japan_Unknown_Betacoronavirus_1
7_16_23_S_AVZ61129_1_2016_07_USA_Cattle_Betacoronavirus_1
3184A_2012_S_AIV41849_1_2012_03_China_Human_Betacoronavirus_1
3269A_2012_S_AIV41843_1_2012_06_China_Human_Betacoronavirus_1
BJ_112_S_AXX83297_1_2015_04_22_China_Unknown_Betacoronavirus_1
10290_2010_S_AIV42005_1_2010_07_China_Human_Betacoronavirus_1
4_17_25_S_AVZ61109_1_2017_04_USA_Cattle_Betacoronavirus_1
OC43_human_USA_851_15_1985_S_AGT51412_1_1985_01_08_USA_Human_Betacoronavirus_1
TCG_2_S_BBM61287_1_2006_12_Japan_Unknown_Betacoronavirus_1
OC43_human_USA_901_54_1990_S_AGT51690_1_1990_01_23_USA_Human_Betacoronavirus_1
SHG_2_S_BBM61207_1_2014_09_Japan_Unknown_Betacoronavirus_1
Buffalo_coronavirus_B1_24F_S_ANJ04717_1_2014_10_01_Bangladesh_Buffalo_Betacoronavirus_1
UNKNOWN_DQ915164_S_ABI93999_2_NA_USA_Alpaca_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC831_2016_NA_APU51916_1_2016_USA_Human_Betacoronavirus_1
IWT_16_S_BBM61117_1_2016_07_Japan_Unknown_Betacoronavirus_1
BJ_124_S_AXX83303_1_2015_05_06_China_Unknown_Betacoronavirus_1
5240_2007_S_AIV41807_1_2007_05_China_Human_Betacoronavirus_1
IWT_22_S_BBM61137_1_2016_12_Japan_Unknown_Betacoronavirus_1
DB2_NA_ABG89288_1_1983_NA_Cattle_Betacoronavirus_1
1783A_10_S_AJC98135_1_2010_01_China_Human_Betacoronavirus_1
IWT_3_S_BBM60967_1_2011_06_Japan_Unknown_Betacoronavirus_1
IWT_26_S_BBM61177_1_2017_02_Japan_Unknown_Betacoronavirus_1
5595_2007_S_AIV41975_1_2007_07_China_Human_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC0839_2019_NA_QEG03767_1_2019_USA_Human_Betacoronavirus_1
IWT_9_S_BBM60927_1_2012_04_Japan_Unknown_Betacoronavirus_1
;
end;
begin trees;
translate
1 OC43_human_USA_991_19_1999_S_AGT51511_1_1999_01_15_USA_Human_Betacoronavirus_1,
2 YC_55_S_AXX83351_1_2015_03_12_China_Unknown_Betacoronavirus_1,
3 HCoV_OC43_Seattle_USA_SC2269_2016_NA_ARA15421_1_2016_USA_Human_Betacoronavirus_1,
4 MY_U413_12_S_AQN78680_1_2012_05_02_Malaysia_Human_Betacoronavirus_1,
5 SHG_4_S_BBM61227_1_2015_10_Japan_Unknown_Betacoronavirus_1,
6 TCG_6_S_BBM61377_1_2007_12_Japan_Unknown_Betacoronavirus_1,
7 7_16_23_S_AVZ61129_1_2016_07_USA_Cattle_Betacoronavirus_1,
8 3184A_2012_S_AIV41849_1_2012_03_China_Human_Betacoronavirus_1,
9 3269A_2012_S_AIV41843_1_2012_06_China_Human_Betacoronavirus_1,
10 BJ_112_S_AXX83297_1_2015_04_22_China_Unknown_Betacoronavirus_1,
11 10290_2010_S_AIV42005_1_2010_07_China_Human_Betacoronavirus_1,
12 4_17_25_S_AVZ61109_1_2017_04_USA_Cattle_Betacoronavirus_1,
13 OC43_human_USA_851_15_1985_S_AGT51412_1_1985_01_08_USA_Human_Betacoronavirus_1,
14 TCG_2_S_BBM61287_1_2006_12_Japan_Unknown_Betacoronavirus_1,
15 OC43_human_USA_901_54_1990_S_AGT51690_1_1990_01_23_USA_Human_Betacoronavirus_1,
16 SHG_2_S_BBM61207_1_2014_09_Japan_Unknown_Betacoronavirus_1,
17 Buffalo_coronavirus_B1_24F_S_ANJ04717_1_2014_10_01_Bangladesh_Buffalo_Betacoronavirus_1,
18 UNKNOWN_DQ915164_S_ABI93999_2_NA_USA_Alpaca_Betacoronavirus_1,
19 HCoV_OC43_Seattle_USA_SC831_2016_NA_APU51916_1_2016_USA_Human_Betacoronavirus_1,
20 IWT_16_S_BBM61117_1_2016_07_Japan_Unknown_Betacoronavirus_1,
21 BJ_124_S_AXX83303_1_2015_05_06_China_Unknown_Betacoronavirus_1,
22 5240_2007_S_AIV41807_1_2007_05_China_Human_Betacoronavirus_1,
23 IWT_22_S_BBM61137_1_2016_12_Japan_Unknown_Betacoronavirus_1,
24 DB2_NA_ABG89288_1_1983_NA_Cattle_Betacoronavirus_1,
25 1783A_10_S_AJC98135_1_2010_01_China_Human_Betacoronavirus_1,
26 IWT_3_S_BBM60967_1_2011_06_Japan_Unknown_Betacoronavirus_1,
27 IWT_26_S_BBM61177_1_2017_02_Japan_Unknown_Betacoronavirus_1,
28 5595_2007_S_AIV41975_1_2007_07_China_Human_Betacoronavirus_1,
29 HCoV_OC43_Seattle_USA_SC0839_2019_NA_QEG03767_1_2019_USA_Human_Betacoronavirus_1,
30 IWT_9_S_BBM60927_1_2012_04_Japan_Unknown_Betacoronavirus_1
;
[Note: This tree contains information on the topology,
branch lengths (if present), and the probability
of the partition indicated by the branch.]
tree con_50_majrule = (1:1.779235e-03,(((((3:1.224165e-03,19:4.411254e-04)1.000:9.370920e-04,29:7.220604e-03)1.000:1.777712e-03,21:1.752112e-03)1.000:4.685734e-03,((4:7.075841e-04,9:9.415098e-04)1.000:2.890956e-03,11:2.848135e-03)0.920:4.643762e-04)0.999:7.418241e-04,22:4.398290e-04,28:4.424319e-04)1.000:1.045240e-02,(((((2:1.239643e-03,10:4.220433e-04)1.000:1.484970e-03,8:1.470629e-03)1.000:1.921307e-03,25:2.374696e-03)1.000:5.325691e-03,(((((((((((5:1.827699e-04,30:4.447083e-04)1.000:9.439477e-04,20:1.776295e-03)1.000:5.707906e-03,14:1.612238e-03)0.719:4.792338e-04,26:5.243346e-03)0.845:9.698065e-04,(16:3.661966e-03,(23:1.883842e-04,27:4.433293e-04)1.000:4.033121e-03)1.000:1.925987e-03)0.863:1.712693e-03,6:4.833327e-03)1.000:2.905446e-03,(7:6.538825e-03,12:7.404696e-03)1.000:4.073381e-03)1.000:2.652002e-03,18:6.155310e-03)1.000:3.458553e-03,24:5.002588e-03)0.926:2.343402e-03,17:1.911352e-02)1.000:5.657674e-02,13:7.181996e-03)1.000:1.049165e-02)1.000:1.865668e-02,15:3.568967e-03)0.969:1.682636e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:1.779235e-03,(((((3:1.224165e-03,19:4.411254e-04):9.370920e-04,29:7.220604e-03):1.777712e-03,21:1.752112e-03):4.685734e-03,((4:7.075841e-04,9:9.415098e-04):2.890956e-03,11:2.848135e-03):4.643762e-04):7.418241e-04,22:4.398290e-04,28:4.424319e-04):1.045240e-02,(((((2:1.239643e-03,10:4.220433e-04):1.484970e-03,8:1.470629e-03):1.921307e-03,25:2.374696e-03):5.325691e-03,(((((((((((5:1.827699e-04,30:4.447083e-04):9.439477e-04,20:1.776295e-03):5.707906e-03,14:1.612238e-03):4.792338e-04,26:5.243346e-03):9.698065e-04,(16:3.661966e-03,(23:1.883842e-04,27:4.433293e-04):4.033121e-03):1.925987e-03):1.712693e-03,6:4.833327e-03):2.905446e-03,(7:6.538825e-03,12:7.404696e-03):4.073381e-03):2.652002e-03,18:6.155310e-03):3.458553e-03,24:5.002588e-03):2.343402e-03,17:1.911352e-02):5.657674e-02,13:7.181996e-03):1.049165e-02):1.865668e-02,15:3.568967e-03):1.682636e-03);
end;
Estimated marginal likelihoods for runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
(Use the harmonic mean for Bayes factor comparisons of models)
(Values are saved to the file /data/mrbayes_input.nex.lstat)
Run Arithmetic mean Harmonic mean
--------------------------------------
1 -10676.01 -10703.42
2 -10677.31 -10703.75
--------------------------------------
TOTAL -10676.46 -10703.60
--------------------------------------
Model parameter summaries over the runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
Summaries are based on a total of 3002 samples from 2 runs.
Each run produced 2001 samples of which 1501 samples were included.
Parameter summaries saved to file "/data/mrbayes_input.nex.pstat".
95% HPD Interval
--------------------
Parameter Mean Variance Lower Upper Median min ESS* avg ESS PSRF+
------------------------------------------------------------------------------------------------------
TL{all} 0.251391 0.000160 0.227165 0.275376 0.250965 1501.00 1501.00 1.000
r(A<->C){all} 0.100586 0.000177 0.074979 0.125901 0.100046 964.52 982.23 1.000
r(A<->G){all} 0.155914 0.000226 0.129011 0.187240 0.155032 823.30 871.83 1.000
r(A<->T){all} 0.070006 0.000059 0.055664 0.085667 0.069700 758.04 878.36 1.000
r(C<->G){all} 0.061114 0.000153 0.038804 0.086681 0.060751 814.97 930.89 1.000
r(C<->T){all} 0.554838 0.000475 0.510228 0.595691 0.553959 585.39 697.54 1.002
r(G<->T){all} 0.057542 0.000063 0.042568 0.073095 0.057181 941.35 998.23 1.000
pi(A){all} 0.281704 0.000046 0.267926 0.294071 0.281823 846.22 1002.47 1.000
pi(C){all} 0.161254 0.000028 0.150508 0.171203 0.161094 986.04 1030.32 1.001
pi(G){all} 0.194375 0.000035 0.182268 0.205338 0.194225 923.04 1052.56 1.001
pi(T){all} 0.362668 0.000053 0.348547 0.377005 0.362775 1033.54 1037.17 1.000
alpha{1,2} 0.303915 0.004324 0.185577 0.435781 0.296509 1094.17 1124.30 1.000
alpha{3} 2.728785 1.267012 0.973955 4.976124 2.517594 1155.41 1190.68 1.000
pinvar{all} 0.496602 0.002715 0.396250 0.596268 0.501074 673.12 771.37 1.001
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
CODONML (in paml version 4.9h, March 2018) /data/fasta_checked/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10633_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1
Model: One dN/dS ratio,
Codon frequency model: F3x4
Site-class models:
ns = 30 ls = 1340
Codon usage in sequences
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 61 60 60 58 58 65 | Ser TCT 34 36 30 30 36 33 | Tyr TAT 57 60 62 62 60 59 | Cys TGT 42 42 44 45 42 45
TTC 13 12 14 15 14 11 | TCC 8 8 9 9 8 10 | TAC 14 13 16 15 14 14 | TGC 12 12 11 10 12 9
Leu TTA 37 38 34 36 36 41 | TCA 18 18 16 16 18 18 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 25 27 26 26 24 26 | TCG 3 3 2 3 4 3 | TAG 0 0 0 0 0 0 | Trp TGG 15 15 14 14 15 16
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 27 27 33 32 25 25 | Pro CCT 26 28 29 29 27 27 | His CAT 12 12 9 13 11 11 | Arg CGT 10 10 9 8 10 10
CTC 9 9 12 11 10 10 | CCC 11 9 9 10 9 9 | CAC 4 4 6 5 3 3 | CGC 1 1 2 3 1 1
CTA 13 12 11 11 14 12 | CCA 15 14 15 15 16 16 | Gln CAA 35 35 34 34 34 35 | CGA 3 3 3 3 4 3
CTG 12 11 9 8 12 11 | CCG 2 2 2 2 2 2 | CAG 18 18 17 17 18 18 | CGG 2 2 2 2 2 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 42 43 38 38 43 41 | Thr ACT 60 59 54 54 61 60 | Asn AAT 96 95 97 98 97 97 | Ser AGT 30 29 35 34 30 32
ATC 8 8 7 8 7 7 | ACC 9 10 7 8 9 9 | AAC 13 14 15 16 11 13 | AGC 16 17 12 12 16 14
ATA 26 25 30 29 26 28 | ACA 27 28 30 28 30 28 | Lys AAA 28 28 36 36 27 29 | Arg AGA 11 11 12 13 11 11
Met ATG 19 19 21 21 19 19 | ACG 4 4 3 3 2 2 | AAG 26 26 25 23 27 27 | AGG 7 7 5 5 7 7
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 60 59 52 53 60 57 | Ala GCT 47 46 45 44 44 42 | Asp GAT 50 51 48 47 50 49 | Gly GGT 67 66 67 66 68 67
GTC 10 10 13 12 10 10 | GCC 4 4 6 7 5 6 | GAC 18 16 17 17 19 20 | GGC 9 10 9 8 8 6
GTA 22 22 21 21 22 24 | GCA 21 21 25 25 22 21 | Glu GAA 23 23 26 28 21 21 | GGA 8 8 8 8 9 9
GTG 11 11 11 11 11 10 | GCG 5 5 6 6 5 5 | GAG 18 18 16 16 18 18 | GGG 6 6 3 3 6 7
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 58 57 59 61 60 61 | Ser TCT 32 29 30 36 33 32 | Tyr TAT 63 61 63 57 61 62 | Cys TGT 46 42 44 42 42 44
TTC 15 14 15 12 12 14 | TCC 10 9 9 8 8 9 | TAC 15 18 15 15 16 16 | TGC 9 12 11 12 13 11
Leu TTA 36 36 35 37 35 35 | TCA 15 17 16 18 18 16 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 26 25 27 27 24 26 | TCG 2 1 2 3 1 2 | TAG 0 0 0 0 0 0 | Trp TGG 14 14 14 15 14 14
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 33 33 32 27 35 32 | Pro CCT 28 32 29 27 33 27 | His CAT 12 11 12 11 9 9 | Arg CGT 9 10 8 10 9 9
CTC 11 9 11 8 9 11 | CCC 10 6 10 10 7 10 | CAC 5 4 5 5 6 6 | CGC 3 2 3 1 2 2
CTA 10 10 10 13 11 10 | CCA 15 16 15 15 15 15 | Gln CAA 34 33 34 35 33 34 | CGA 3 3 3 3 3 3
CTG 8 12 8 10 9 9 | CCG 2 2 2 2 2 2 | CAG 17 18 17 18 18 17 | CGG 2 2 2 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 37 38 37 43 38 38 | Thr ACT 51 54 55 58 50 55 | Asn AAT 97 96 97 94 95 96 | Ser AGT 34 37 34 30 37 34
ATC 8 10 8 8 7 8 | ACC 9 7 7 9 8 7 | AAC 18 16 17 15 16 15 | AGC 12 11 12 16 10 13
ATA 30 29 30 26 31 30 | ACA 29 30 29 28 30 29 | Lys AAA 33 30 35 28 34 35 | Arg AGA 13 12 13 10 12 14
Met ATG 21 21 21 19 22 21 | ACG 3 2 3 4 3 3 | AAG 24 25 24 25 24 25 | AGG 5 6 5 8 6 5
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 55 55 53 59 55 53 | Ala GCT 44 45 44 46 46 45 | Asp GAT 47 51 47 46 48 47 | Gly GGT 67 66 66 67 68 65
GTC 11 11 12 10 11 12 | GCC 7 6 7 4 6 6 | GAC 17 16 17 23 18 17 | GGC 7 10 8 9 9 11
GTA 21 23 21 22 22 21 | GCA 25 24 25 22 25 25 | Glu GAA 28 27 28 21 26 26 | GGA 8 7 8 8 7 7
GTG 11 10 11 12 10 11 | GCG 6 7 6 5 7 6 | GAG 16 16 16 19 15 17 | GGG 3 4 3 6 4 3
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 58 59 59 61 59 58 | Ser TCT 32 31 30 36 31 36 | Tyr TAT 63 62 63 57 63 59 | Cys TGT 46 46 45 42 45 42
TTC 15 14 15 12 15 13 | TCC 10 10 9 8 9 7 | TAC 15 15 15 15 14 13 | TGC 9 9 10 12 9 12
Leu TTA 35 36 35 37 36 37 | TCA 15 16 16 17 16 19 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 26 27 27 27 27 25 | TCG 2 2 2 3 2 3 | TAG 0 0 0 0 0 0 | Trp TGG 14 14 14 15 14 15
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 33 34 32 28 33 27 | Pro CCT 27 27 29 28 29 28 | His CAT 12 12 12 11 12 12 | Arg CGT 10 8 8 10 8 10
CTC 11 11 11 8 11 9 | CCC 11 10 10 9 10 9 | CAC 5 5 5 5 6 4 | CGC 2 3 3 1 3 1
CTA 12 9 10 13 10 14 | CCA 14 15 15 15 15 15 | Gln CAA 34 34 34 35 34 36 | CGA 3 3 3 3 3 3
CTG 8 8 8 10 8 11 | CCG 2 2 2 2 2 2 | CAG 17 17 17 18 17 18 | CGG 2 2 2 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 37 38 37 43 36 43 | Thr ACT 51 53 55 58 54 55 | Asn AAT 97 97 96 94 98 96 | Ser AGT 34 34 34 30 35 31
ATC 8 8 8 8 8 8 | ACC 9 7 7 9 8 12 | AAC 18 19 18 15 17 13 | AGC 12 12 12 16 12 15
ATA 30 31 30 26 30 26 | ACA 29 29 29 28 28 29 | Lys AAA 33 33 35 28 34 28 | Arg AGA 13 14 13 10 13 11
Met ATG 21 21 21 19 21 19 | ACG 3 3 3 4 3 4 | AAG 24 24 24 26 24 26 | AGG 5 5 5 8 5 7
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 54 53 53 59 52 60 | Ala GCT 44 44 44 45 45 45 | Asp GAT 47 47 47 47 45 48 | Gly GGT 67 67 66 67 66 69
GTC 12 12 12 10 13 10 | GCC 7 7 7 4 7 5 | GAC 17 16 17 22 18 19 | GGC 7 7 8 9 8 8
GTA 21 21 21 23 21 22 | GCA 25 25 25 22 25 21 | Glu GAA 28 28 28 22 28 22 | GGA 8 8 8 8 8 8
GTG 11 11 11 11 11 11 | GCG 6 6 6 5 5 5 | GAG 16 16 16 18 16 18 | GGG 3 3 3 6 3 6
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 60 61 61 60 58 62 | Ser TCT 35 34 32 37 37 34 | Tyr TAT 59 58 61 60 58 58 | Cys TGT 43 43 43 42 42 43
TTC 11 12 12 12 14 12 | TCC 8 8 8 8 8 8 | TAC 15 14 16 14 14 14 | TGC 11 11 12 12 12 11
Leu TTA 38 38 35 39 38 38 | TCA 19 18 18 17 18 18 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 25 25 24 25 24 25 | TCG 3 3 1 3 3 3 | TAG 0 0 0 0 0 0 | Trp TGG 15 15 14 16 15 15
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 27 27 35 27 27 26 | Pro CCT 28 27 31 24 27 27 | His CAT 13 13 9 11 12 13 | Arg CGT 10 10 10 10 10 10
CTC 10 9 9 9 9 9 | CCC 9 10 8 10 10 10 | CAC 3 3 6 3 4 3 | CGC 1 1 1 1 1 1
CTA 13 13 10 12 14 13 | CCA 15 15 15 17 15 15 | Gln CAA 36 35 33 34 35 35 | CGA 3 3 3 3 3 3
CTG 10 11 10 11 11 11 | CCG 2 2 2 1 2 2 | CAG 18 18 18 19 18 18 | CGG 2 2 2 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 43 43 38 42 42 43 | Thr ACT 63 55 53 62 58 55 | Asn AAT 96 96 96 94 94 96 | Ser AGT 30 30 36 31 31 30
ATC 6 8 7 8 8 8 | ACC 9 12 8 9 8 12 | AAC 11 13 16 14 13 13 | AGC 16 16 11 14 17 16
ATA 26 25 31 26 26 25 | ACA 26 29 29 28 29 29 | Lys AAA 28 28 34 27 28 28 | Arg AGA 10 11 12 10 11 11
Met ATG 20 19 22 20 19 19 | ACG 4 4 3 2 4 4 | AAG 26 26 24 27 26 26 | AGG 8 7 6 9 7 7
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 60 59 53 61 61 59 | Ala GCT 47 47 46 45 45 47 | Asp GAT 49 50 48 51 47 50 | Gly GGT 66 67 68 67 70 67
GTC 10 10 12 10 9 10 | GCC 4 4 6 4 5 4 | GAC 19 18 17 17 20 18 | GGC 8 9 9 9 7 9
GTA 22 23 22 22 21 23 | GCA 21 21 25 22 21 21 | Glu GAA 21 23 26 23 23 23 | GGA 9 8 7 9 8 8
GTG 11 11 10 10 12 11 | GCG 5 5 7 5 5 5 | GAG 18 18 15 18 18 18 | GGG 6 6 4 5 6 6
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 60 60 59 61 58 60 | Ser TCT 32 32 31 36 31 37 | Tyr TAT 60 61 63 57 64 61 | Cys TGT 43 42 45 42 47 43
TTC 12 12 15 12 15 12 | TCC 8 8 9 8 10 8 | TAC 17 16 14 15 14 14 | TGC 11 13 9 12 8 11
Leu TTA 34 35 36 37 36 37 | TCA 18 18 16 17 17 17 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 23 24 27 27 25 24 | TCG 1 1 2 3 1 4 | TAG 0 0 0 0 0 0 | Trp TGG 14 14 14 15 14 15
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 35 35 33 28 34 27 | Pro CCT 31 31 28 28 27 26 | His CAT 9 9 13 11 14 12 | Arg CGT 9 9 8 10 9 10
CTC 9 9 11 8 11 9 | CCC 8 8 10 9 10 9 | CAC 6 6 6 5 3 3 | CGC 2 2 3 1 3 1
CTA 11 11 10 13 10 12 | CCA 15 15 15 15 16 16 | Gln CAA 33 33 34 35 34 34 | CGA 3 3 3 3 3 3
CTG 11 9 8 10 8 11 | CCG 2 2 2 2 2 2 | CAG 18 18 17 18 17 18 | CGG 2 2 2 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 38 38 36 43 38 41 | Thr ACT 53 53 55 58 51 60 | Asn AAT 96 96 98 94 98 89 | Ser AGT 35 37 35 30 33 31
ATC 7 7 8 8 8 10 | ACC 7 7 7 9 9 10 | AAC 15 15 17 15 17 17 | AGC 12 10 12 16 12 15
ATA 31 31 30 26 30 27 | ACA 30 30 28 28 28 28 | Lys AAA 34 34 34 28 33 28 | Arg AGA 12 12 13 10 14 10
Met ATG 22 22 21 19 21 19 | ACG 3 3 3 4 3 3 | AAG 25 24 24 26 24 26 | AGG 6 6 5 8 5 9
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 54 55 52 59 53 59 | Ala GCT 46 46 44 45 44 45 | Asp GAT 46 48 45 48 48 49 | Gly GGT 69 68 65 67 67 68
GTC 12 11 13 10 12 10 | GCC 6 6 8 4 8 5 | GAC 18 18 18 21 17 19 | GGC 10 9 8 9 7 7
GTA 22 22 21 23 21 23 | GCA 25 25 25 22 25 21 | Glu GAA 26 26 28 22 28 23 | GGA 7 7 9 8 8 9
GTG 10 10 11 11 10 11 | GCG 7 7 5 5 6 6 | GAG 16 15 16 18 16 18 | GGG 3 4 3 6 3 6
--------------------------------------------------------------------------------------------------------------------------------------
Codon position x base (3x4) table for each sequence.
#1: C251
position 1: T:0.25299 C:0.14925 A:0.31493 G:0.28284
position 2: T:0.29478 C:0.21940 A:0.30746 G:0.17836
position 3: T:0.53806 C:0.11866 A:0.21418 G:0.12910
Average T:0.36194 C:0.16244 A:0.27886 G:0.19677
#2: C235
position 1: T:0.25672 C:0.14701 A:0.31567 G:0.28060
position 2: T:0.29328 C:0.22015 A:0.30821 G:0.17836
position 3: T:0.53955 C:0.11716 A:0.21343 G:0.12985
Average T:0.36318 C:0.16144 A:0.27910 G:0.19627
#3: C192
position 1: T:0.25224 C:0.15075 A:0.31866 G:0.27836
position 2: T:0.29254 C:0.21493 A:0.31642 G:0.17612
position 3: T:0.53134 C:0.12313 A:0.22463 G:0.12090
Average T:0.35871 C:0.16294 A:0.28657 G:0.19179
#4: C4
position 1: T:0.25299 C:0.15149 A:0.31791 G:0.27761
position 2: T:0.29104 C:0.21567 A:0.31866 G:0.17463
position 3: T:0.53060 C:0.12388 A:0.22612 G:0.11940
Average T:0.35821 C:0.16368 A:0.28756 G:0.19055
#5: C279
position 1: T:0.25448 C:0.14776 A:0.31567 G:0.28209
position 2: T:0.29179 C:0.22239 A:0.30597 G:0.17985
position 3: T:0.53881 C:0.11642 A:0.21642 G:0.12836
Average T:0.36169 C:0.16219 A:0.27935 G:0.19677
#6: C66
position 1: T:0.26119 C:0.14478 A:0.31642 G:0.27761
position 2: T:0.29627 C:0.21716 A:0.30896 G:0.17761
position 3: T:0.53731 C:0.11343 A:0.22090 G:0.12836
Average T:0.36493 C:0.15846 A:0.28209 G:0.19453
#7: C94
position 1: T:0.25448 C:0.15075 A:0.31642 G:0.27836
position 2: T:0.29179 C:0.21493 A:0.31791 G:0.17537
position 3: T:0.53209 C:0.12463 A:0.22388 G:0.11940
Average T:0.35945 C:0.16343 A:0.28607 G:0.19104
#8: C182
position 1: T:0.25000 C:0.15149 A:0.31642 G:0.28209
position 2: T:0.29328 C:0.21418 A:0.31493 G:0.17761
position 3: T:0.53507 C:0.12015 A:0.22164 G:0.12313
Average T:0.35945 C:0.16194 A:0.28433 G:0.19428
#9: C45
position 1: T:0.25373 C:0.15000 A:0.31866 G:0.27761
position 2: T:0.29104 C:0.21567 A:0.31866 G:0.17463
position 3: T:0.52985 C:0.12463 A:0.22537 G:0.12015
Average T:0.35821 C:0.16343 A:0.28756 G:0.19080
#10: C122
position 1: T:0.25597 C:0.14701 A:0.31418 G:0.28284
position 2: T:0.29403 C:0.22015 A:0.30746 G:0.17836
position 3: T:0.53284 C:0.12313 A:0.21343 G:0.13060
Average T:0.36095 C:0.16343 A:0.27836 G:0.19726
#11: C298
position 1: T:0.25149 C:0.15149 A:0.31567 G:0.28134
position 2: T:0.29179 C:0.21791 A:0.31269 G:0.17761
position 3: T:0.53657 C:0.11791 A:0.22537 G:0.12015
Average T:0.35995 C:0.16244 A:0.28458 G:0.19303
#12: C216
position 1: T:0.25522 C:0.14776 A:0.31940 G:0.27761
position 2: T:0.29254 C:0.21567 A:0.31493 G:0.17687
position 3: T:0.52910 C:0.12537 A:0.22388 G:0.12164
Average T:0.35896 C:0.16294 A:0.28607 G:0.19204
#13: C85
position 1: T:0.25373 C:0.15149 A:0.31642 G:0.27836
position 2: T:0.29254 C:0.21418 A:0.31791 G:0.17537
position 3: T:0.53134 C:0.12537 A:0.22388 G:0.11940
Average T:0.35920 C:0.16368 A:0.28607 G:0.19104
#14: C64
position 1: T:0.25448 C:0.14925 A:0.31940 G:0.27687
position 2: T:0.29328 C:0.21418 A:0.31716 G:0.17537
position 3: T:0.53134 C:0.12313 A:0.22537 G:0.12015
Average T:0.35970 C:0.16219 A:0.28731 G:0.19080
#15: C30
position 1: T:0.25373 C:0.15000 A:0.31866 G:0.27761
position 2: T:0.29104 C:0.21567 A:0.31866 G:0.17463
position 3: T:0.52985 C:0.12463 A:0.22537 G:0.12015
Average T:0.35821 C:0.16343 A:0.28756 G:0.19080
#16: C237
position 1: T:0.25522 C:0.14776 A:0.31493 G:0.28209
position 2: T:0.29478 C:0.21866 A:0.30821 G:0.17836
position 3: T:0.53433 C:0.12164 A:0.21418 G:0.12985
Average T:0.36144 C:0.16269 A:0.27910 G:0.19677
#17: C161
position 1: T:0.25373 C:0.15149 A:0.31791 G:0.27687
position 2: T:0.29179 C:0.21567 A:0.31791 G:0.17463
position 3: T:0.53060 C:0.12537 A:0.22463 G:0.11940
Average T:0.35871 C:0.16418 A:0.28682 G:0.19030
#18: C269
position 1: T:0.25299 C:0.15000 A:0.31567 G:0.28134
position 2: T:0.29328 C:0.22015 A:0.30746 G:0.17910
position 3: T:0.53657 C:0.11791 A:0.21716 G:0.12836
Average T:0.36095 C:0.16269 A:0.28010 G:0.19627
#19: C71
position 1: T:0.25522 C:0.14925 A:0.31493 G:0.28060
position 2: T:0.29254 C:0.22239 A:0.30746 G:0.17761
position 3: T:0.54403 C:0.11269 A:0.21418 G:0.12910
Average T:0.36393 C:0.16144 A:0.27886 G:0.19577
#20: C130
position 1: T:0.25373 C:0.14851 A:0.31493 G:0.28284
position 2: T:0.29403 C:0.21940 A:0.30821 G:0.17836
position 3: T:0.53731 C:0.11791 A:0.21642 G:0.12836
Average T:0.36169 C:0.16194 A:0.27985 G:0.19652
#21: C19
position 1: T:0.25149 C:0.15075 A:0.31791 G:0.27985
position 2: T:0.29179 C:0.21791 A:0.31269 G:0.17761
position 3: T:0.53731 C:0.11791 A:0.22388 G:0.12090
Average T:0.36020 C:0.16219 A:0.28483 G:0.19279
#22: C47
position 1: T:0.25746 C:0.14478 A:0.31567 G:0.28209
position 2: T:0.29403 C:0.21940 A:0.30746 G:0.17910
position 3: T:0.54030 C:0.11493 A:0.21567 G:0.12910
Average T:0.36393 C:0.15970 A:0.27960 G:0.19677
#23: C135
position 1: T:0.25448 C:0.14925 A:0.31418 G:0.28209
position 2: T:0.29328 C:0.22015 A:0.30597 G:0.18060
position 3: T:0.53657 C:0.11866 A:0.21642 G:0.12836
Average T:0.36144 C:0.16269 A:0.27886 G:0.19701
#24: C134
position 1: T:0.25448 C:0.14776 A:0.31493 G:0.28284
position 2: T:0.29403 C:0.21940 A:0.30821 G:0.17836
position 3: T:0.53731 C:0.11791 A:0.21642 G:0.12836
Average T:0.36194 C:0.16169 A:0.27985 G:0.19652
#25: C8
position 1: T:0.24851 C:0.15224 A:0.31791 G:0.28134
position 2: T:0.29179 C:0.21791 A:0.31269 G:0.17761
position 3: T:0.53433 C:0.11940 A:0.22463 G:0.12164
Average T:0.35821 C:0.16318 A:0.28507 G:0.19353
#26: C61
position 1: T:0.25075 C:0.15075 A:0.31716 G:0.28134
position 2: T:0.29179 C:0.21791 A:0.31269 G:0.17761
position 3: T:0.53731 C:0.11716 A:0.22537 G:0.12015
Average T:0.35995 C:0.16194 A:0.28507 G:0.19303
#27: C22
position 1: T:0.25373 C:0.15149 A:0.31791 G:0.27687
position 2: T:0.29179 C:0.21493 A:0.31866 G:0.17463
position 3: T:0.52985 C:0.12537 A:0.22537 G:0.11940
Average T:0.35846 C:0.16393 A:0.28731 G:0.19030
#28: C142
position 1: T:0.25522 C:0.14776 A:0.31493 G:0.28209
position 2: T:0.29478 C:0.21866 A:0.30821 G:0.17836
position 3: T:0.53507 C:0.12090 A:0.21418 G:0.12985
Average T:0.36169 C:0.16244 A:0.27910 G:0.19677
#29: C83
position 1: T:0.25373 C:0.15149 A:0.31642 G:0.27836
position 2: T:0.29104 C:0.21493 A:0.31866 G:0.17537
position 3: T:0.53433 C:0.12239 A:0.22612 G:0.11716
Average T:0.35970 C:0.16294 A:0.28706 G:0.19030
#30: C29
position 1: T:0.25597 C:0.14552 A:0.31567 G:0.28284
position 2: T:0.29254 C:0.22164 A:0.30672 G:0.17910
position 3: T:0.53582 C:0.11940 A:0.21493 G:0.12985
Average T:0.36144 C:0.16219 A:0.27910 G:0.19726
Sums of codon usage counts
------------------------------------------------------------------------------
Phe F TTT 1792 | Ser S TCT 995 | Tyr Y TAT 1814 | Cys C TGT 1304
TTC 396 | TCC 257 | TAC 445 | TGC 328
Leu L TTA 1093 | TCA 514 | *** * TAA 0 | *** * TGA 0
TTG 766 | TCG 71 | TAG 0 | Trp W TGG 436
------------------------------------------------------------------------------
Leu L CTT 909 | Pro P CCT 845 | His H CAT 342 | Arg R CGT 281
CTC 293 | CCC 280 | CAC 137 | CGC 53
CTA 347 | CCA 455 | Gln Q CAA 1028 | CGA 91
CTG 293 | CCG 59 | CAG 530 | CGG 59
------------------------------------------------------------------------------
Ile I ATT 1195 | Thr T ACT 1673 | Asn N AAT 2876 | Ser S AGT 983
ATC 235 | ACC 258 | AAC 455 | AGC 407
ATA 847 | ACA 860 | Lys K AAA 934 | Arg R AGA 353
Met M ATG 608 | ACG 96 | AAG 753 | AGG 191
------------------------------------------------------------------------------
Val V GTT 1687 | Ala A GCT 1352 | Asp D GAT 1441 | Gly G GGT 2011
GTC 330 | GCC 169 | GAC 544 | GGC 252
GTA 656 | GCA 698 | Glu E GAA 746 | GGA 240
GTG 324 | GCG 170 | GAG 507 | GGG 136
------------------------------------------------------------------------------
Codon position x base (3x4) table, overall
position 1: T:0.25400 C:0.14930 A:0.31652 G:0.28017
position 2: T:0.29281 C:0.21771 A:0.31224 G:0.17724
position 3: T:0.53483 C:0.12037 A:0.22045 G:0.12435
Average T:0.36055 C:0.16246 A:0.28307 G:0.19392
Model 1: NearlyNeutral (2 categories)
TREE # 1: (12, (((((13, 7), 29), 14), ((17, 27), 4)), 15, 9), (((((11, 26), 21), 25), (((((((((((16, 28), 10), 1), 23), (2, (20, 24))), 18), (22, 30)), 5), 19), 6), 8)), 3)); MP score: 720
check convergence..
lnL(ntime: 56 np: 59): -9977.797468 +0.000000
31..12 31..32 32..33 33..34 34..35 35..36 36..13 36..7 35..29 34..14 33..37 37..38 38..17 38..27 37..4 32..15 32..9 31..39 39..40 40..41 41..42 42..43 43..11 43..26 42..21 41..25 40..44 44..45 45..46 46..47 47..48 48..49 49..50 50..51 51..52 52..53 53..54 54..16 54..28 53..10 52..1 51..23 50..55 55..2 55..56 56..20 56..24 49..18 48..57 57..22 57..30 47..5 46..19 45..6 44..8 39..3
0.004803 0.025618 0.001579 0.008746 0.003987 0.002330 0.003145 0.000786 0.019996 0.004755 0.000787 0.007154 0.001571 0.002372 0.007911 0.000788 0.000788 0.004371 0.048456 0.014628 0.003584 0.003189 0.003181 0.000791 0.003982 0.006806 0.025027 0.146457 0.007723 0.010447 0.006510 0.007206 0.004318 0.002164 0.000761 0.016788 0.002382 0.000004 0.000791 0.004747 0.003209 0.015217 0.005185 0.010422 0.011239 0.000004 0.000792 0.012684 0.012150 0.017216 0.019641 0.016833 0.014554 0.049789 0.018953 0.009234 3.238657 0.882903 0.036313
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.638551
(12: 0.004803, (((((13: 0.003145, 7: 0.000786): 0.002330, 29: 0.019996): 0.003987, 14: 0.004755): 0.008746, ((17: 0.001571, 27: 0.002372): 0.007154, 4: 0.007911): 0.000787): 0.001579, 15: 0.000788, 9: 0.000788): 0.025618, (((((11: 0.003181, 26: 0.000791): 0.003189, 21: 0.003982): 0.003584, 25: 0.006806): 0.014628, (((((((((((16: 0.000004, 28: 0.000791): 0.002382, 10: 0.004747): 0.016788, 1: 0.003209): 0.000761, 23: 0.015217): 0.002164, (2: 0.010422, (20: 0.000004, 24: 0.000792): 0.011239): 0.005185): 0.004318, 18: 0.012684): 0.007206, (22: 0.017216, 30: 0.019641): 0.012150): 0.006510, 5: 0.016833): 0.010447, 19: 0.014554): 0.007723, 6: 0.049789): 0.146457, 8: 0.018953): 0.025027): 0.048456, 3: 0.009234): 0.004371);
(C216: 0.004803, (((((C85: 0.003145, C94: 0.000786): 0.002330, C83: 0.019996): 0.003987, C64: 0.004755): 0.008746, ((C161: 0.001571, C22: 0.002372): 0.007154, C4: 0.007911): 0.000787): 0.001579, C30: 0.000788, C45: 0.000788): 0.025618, (((((C298: 0.003181, C61: 0.000791): 0.003189, C19: 0.003982): 0.003584, C8: 0.006806): 0.014628, (((((((((((C237: 0.000004, C142: 0.000791): 0.002382, C122: 0.004747): 0.016788, C251: 0.003209): 0.000761, C135: 0.015217): 0.002164, (C235: 0.010422, (C130: 0.000004, C134: 0.000792): 0.011239): 0.005185): 0.004318, C269: 0.012684): 0.007206, (C47: 0.017216, C29: 0.019641): 0.012150): 0.006510, C279: 0.016833): 0.010447, C71: 0.014554): 0.007723, C66: 0.049789): 0.146457, C182: 0.018953): 0.025027): 0.048456, C192: 0.009234): 0.004371);
Detailed output identifying parameters
kappa (ts/tv) = 3.23866
MLEs of dN/dS (w) for site classes (K=2)
p: 0.88290 0.11710
w: 0.03631 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.005 3322.1 697.9 0.1492 0.0008 0.0054 2.7 3.8
31..32 0.026 3322.1 697.9 0.1492 0.0043 0.0288 14.3 20.1
32..33 0.002 3322.1 697.9 0.1492 0.0003 0.0018 0.9 1.2
33..34 0.009 3322.1 697.9 0.1492 0.0015 0.0098 4.9 6.9
34..35 0.004 3322.1 697.9 0.1492 0.0007 0.0045 2.2 3.1
35..36 0.002 3322.1 697.9 0.1492 0.0004 0.0026 1.3 1.8
36..13 0.003 3322.1 697.9 0.1492 0.0005 0.0035 1.7 2.5
36..7 0.001 3322.1 697.9 0.1492 0.0001 0.0009 0.4 0.6
35..29 0.020 3322.1 697.9 0.1492 0.0033 0.0225 11.1 15.7
34..14 0.005 3322.1 697.9 0.1492 0.0008 0.0053 2.6 3.7
33..37 0.001 3322.1 697.9 0.1492 0.0001 0.0009 0.4 0.6
37..38 0.007 3322.1 697.9 0.1492 0.0012 0.0080 4.0 5.6
38..17 0.002 3322.1 697.9 0.1492 0.0003 0.0018 0.9 1.2
38..27 0.002 3322.1 697.9 0.1492 0.0004 0.0027 1.3 1.9
37..4 0.008 3322.1 697.9 0.1492 0.0013 0.0089 4.4 6.2
32..15 0.001 3322.1 697.9 0.1492 0.0001 0.0009 0.4 0.6
32..9 0.001 3322.1 697.9 0.1492 0.0001 0.0009 0.4 0.6
31..39 0.004 3322.1 697.9 0.1492 0.0007 0.0049 2.4 3.4
39..40 0.048 3322.1 697.9 0.1492 0.0081 0.0544 27.0 38.0
40..41 0.015 3322.1 697.9 0.1492 0.0024 0.0164 8.1 11.5
41..42 0.004 3322.1 697.9 0.1492 0.0006 0.0040 2.0 2.8
42..43 0.003 3322.1 697.9 0.1492 0.0005 0.0036 1.8 2.5
43..11 0.003 3322.1 697.9 0.1492 0.0005 0.0036 1.8 2.5
43..26 0.001 3322.1 697.9 0.1492 0.0001 0.0009 0.4 0.6
42..21 0.004 3322.1 697.9 0.1492 0.0007 0.0045 2.2 3.1
41..25 0.007 3322.1 697.9 0.1492 0.0011 0.0076 3.8 5.3
40..44 0.025 3322.1 697.9 0.1492 0.0042 0.0281 13.9 19.6
44..45 0.146 3322.1 697.9 0.1492 0.0245 0.1645 81.5 114.8
45..46 0.008 3322.1 697.9 0.1492 0.0013 0.0087 4.3 6.1
46..47 0.010 3322.1 697.9 0.1492 0.0017 0.0117 5.8 8.2
47..48 0.007 3322.1 697.9 0.1492 0.0011 0.0073 3.6 5.1
48..49 0.007 3322.1 697.9 0.1492 0.0012 0.0081 4.0 5.6
49..50 0.004 3322.1 697.9 0.1492 0.0007 0.0048 2.4 3.4
50..51 0.002 3322.1 697.9 0.1492 0.0004 0.0024 1.2 1.7
51..52 0.001 3322.1 697.9 0.1492 0.0001 0.0009 0.4 0.6
52..53 0.017 3322.1 697.9 0.1492 0.0028 0.0189 9.3 13.2
53..54 0.002 3322.1 697.9 0.1492 0.0004 0.0027 1.3 1.9
54..16 0.000 3322.1 697.9 0.1492 0.0000 0.0000 0.0 0.0
54..28 0.001 3322.1 697.9 0.1492 0.0001 0.0009 0.4 0.6
53..10 0.005 3322.1 697.9 0.1492 0.0008 0.0053 2.6 3.7
52..1 0.003 3322.1 697.9 0.1492 0.0005 0.0036 1.8 2.5
51..23 0.015 3322.1 697.9 0.1492 0.0025 0.0171 8.5 11.9
50..55 0.005 3322.1 697.9 0.1492 0.0009 0.0058 2.9 4.1
55..2 0.010 3322.1 697.9 0.1492 0.0017 0.0117 5.8 8.2
55..56 0.011 3322.1 697.9 0.1492 0.0019 0.0126 6.3 8.8
56..20 0.000 3322.1 697.9 0.1492 0.0000 0.0000 0.0 0.0
56..24 0.001 3322.1 697.9 0.1492 0.0001 0.0009 0.4 0.6
49..18 0.013 3322.1 697.9 0.1492 0.0021 0.0142 7.1 9.9
48..57 0.012 3322.1 697.9 0.1492 0.0020 0.0136 6.8 9.5
57..22 0.017 3322.1 697.9 0.1492 0.0029 0.0193 9.6 13.5
57..30 0.020 3322.1 697.9 0.1492 0.0033 0.0221 10.9 15.4
47..5 0.017 3322.1 697.9 0.1492 0.0028 0.0189 9.4 13.2
46..19 0.015 3322.1 697.9 0.1492 0.0024 0.0163 8.1 11.4
45..6 0.050 3322.1 697.9 0.1492 0.0083 0.0559 27.7 39.0
44..8 0.019 3322.1 697.9 0.1492 0.0032 0.0213 10.5 14.9
39..3 0.009 3322.1 697.9 0.1492 0.0015 0.0104 5.1 7.2
Time used: 19:13
Model 2: PositiveSelection (3 categories)
TREE # 1: (12, (((((13, 7), 29), 14), ((17, 27), 4)), 15, 9), (((((11, 26), 21), 25), (((((((((((16, 28), 10), 1), 23), (2, (20, 24))), 18), (22, 30)), 5), 19), 6), 8)), 3)); MP score: 720
lnL(ntime: 56 np: 61): -9972.733190 +0.000000
31..12 31..32 32..33 33..34 34..35 35..36 36..13 36..7 35..29 34..14 33..37 37..38 38..17 38..27 37..4 32..15 32..9 31..39 39..40 40..41 41..42 42..43 43..11 43..26 42..21 41..25 40..44 44..45 45..46 46..47 47..48 48..49 49..50 50..51 51..52 52..53 53..54 54..16 54..28 53..10 52..1 51..23 50..55 55..2 55..56 56..20 56..24 49..18 48..57 57..22 57..30 47..5 46..19 45..6 44..8 39..3
0.004886 0.026260 0.001614 0.008978 0.004051 0.002408 0.003206 0.000801 0.020420 0.004870 0.000811 0.007330 0.001612 0.002420 0.008108 0.000806 0.000805 0.004533 0.049832 0.015102 0.003679 0.003243 0.003233 0.000804 0.004048 0.006910 0.024524 0.152339 0.007826 0.010701 0.006694 0.007371 0.004428 0.002214 0.000781 0.017214 0.002441 0.000004 0.000810 0.004861 0.003286 0.015600 0.005314 0.010680 0.011517 0.000004 0.000811 0.012996 0.012560 0.017606 0.020142 0.017213 0.014937 0.051283 0.020586 0.009435 3.330276 0.887155 0.105315 0.039818 4.421635
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.656947
(12: 0.004886, (((((13: 0.003206, 7: 0.000801): 0.002408, 29: 0.020420): 0.004051, 14: 0.004870): 0.008978, ((17: 0.001612, 27: 0.002420): 0.007330, 4: 0.008108): 0.000811): 0.001614, 15: 0.000806, 9: 0.000805): 0.026260, (((((11: 0.003233, 26: 0.000804): 0.003243, 21: 0.004048): 0.003679, 25: 0.006910): 0.015102, (((((((((((16: 0.000004, 28: 0.000810): 0.002441, 10: 0.004861): 0.017214, 1: 0.003286): 0.000781, 23: 0.015600): 0.002214, (2: 0.010680, (20: 0.000004, 24: 0.000811): 0.011517): 0.005314): 0.004428, 18: 0.012996): 0.007371, (22: 0.017606, 30: 0.020142): 0.012560): 0.006694, 5: 0.017213): 0.010701, 19: 0.014937): 0.007826, 6: 0.051283): 0.152339, 8: 0.020586): 0.024524): 0.049832, 3: 0.009435): 0.004533);
(C216: 0.004886, (((((C85: 0.003206, C94: 0.000801): 0.002408, C83: 0.020420): 0.004051, C64: 0.004870): 0.008978, ((C161: 0.001612, C22: 0.002420): 0.007330, C4: 0.008108): 0.000811): 0.001614, C30: 0.000806, C45: 0.000805): 0.026260, (((((C298: 0.003233, C61: 0.000804): 0.003243, C19: 0.004048): 0.003679, C8: 0.006910): 0.015102, (((((((((((C237: 0.000004, C142: 0.000810): 0.002441, C122: 0.004861): 0.017214, C251: 0.003286): 0.000781, C135: 0.015600): 0.002214, (C235: 0.010680, (C130: 0.000004, C134: 0.000811): 0.011517): 0.005314): 0.004428, C269: 0.012996): 0.007371, (C47: 0.017606, C29: 0.020142): 0.012560): 0.006694, C279: 0.017213): 0.010701, C71: 0.014937): 0.007826, C66: 0.051283): 0.152339, C182: 0.020586): 0.024524): 0.049832, C192: 0.009435): 0.004533);
Detailed output identifying parameters
kappa (ts/tv) = 3.33028
MLEs of dN/dS (w) for site classes (K=3)
p: 0.88715 0.10532 0.00753
w: 0.03982 1.00000 4.42163
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.005 3319.7 700.3 0.1739 0.0009 0.0051 3.0 3.6
31..32 0.026 3319.7 700.3 0.1739 0.0048 0.0275 15.9 19.3
32..33 0.002 3319.7 700.3 0.1739 0.0003 0.0017 1.0 1.2
33..34 0.009 3319.7 700.3 0.1739 0.0016 0.0094 5.4 6.6
34..35 0.004 3319.7 700.3 0.1739 0.0007 0.0042 2.5 3.0
35..36 0.002 3319.7 700.3 0.1739 0.0004 0.0025 1.5 1.8
36..13 0.003 3319.7 700.3 0.1739 0.0006 0.0034 1.9 2.4
36..7 0.001 3319.7 700.3 0.1739 0.0001 0.0008 0.5 0.6
35..29 0.020 3319.7 700.3 0.1739 0.0037 0.0214 12.4 15.0
34..14 0.005 3319.7 700.3 0.1739 0.0009 0.0051 2.9 3.6
33..37 0.001 3319.7 700.3 0.1739 0.0001 0.0009 0.5 0.6
37..38 0.007 3319.7 700.3 0.1739 0.0013 0.0077 4.4 5.4
38..17 0.002 3319.7 700.3 0.1739 0.0003 0.0017 1.0 1.2
38..27 0.002 3319.7 700.3 0.1739 0.0004 0.0025 1.5 1.8
37..4 0.008 3319.7 700.3 0.1739 0.0015 0.0085 4.9 6.0
32..15 0.001 3319.7 700.3 0.1739 0.0001 0.0008 0.5 0.6
32..9 0.001 3319.7 700.3 0.1739 0.0001 0.0008 0.5 0.6
31..39 0.005 3319.7 700.3 0.1739 0.0008 0.0048 2.7 3.3
39..40 0.050 3319.7 700.3 0.1739 0.0091 0.0523 30.2 36.6
40..41 0.015 3319.7 700.3 0.1739 0.0028 0.0158 9.1 11.1
41..42 0.004 3319.7 700.3 0.1739 0.0007 0.0039 2.2 2.7
42..43 0.003 3319.7 700.3 0.1739 0.0006 0.0034 2.0 2.4
43..11 0.003 3319.7 700.3 0.1739 0.0006 0.0034 2.0 2.4
43..26 0.001 3319.7 700.3 0.1739 0.0001 0.0008 0.5 0.6
42..21 0.004 3319.7 700.3 0.1739 0.0007 0.0042 2.5 3.0
41..25 0.007 3319.7 700.3 0.1739 0.0013 0.0072 4.2 5.1
40..44 0.025 3319.7 700.3 0.1739 0.0045 0.0257 14.9 18.0
44..45 0.152 3319.7 700.3 0.1739 0.0278 0.1598 92.2 111.9
45..46 0.008 3319.7 700.3 0.1739 0.0014 0.0082 4.7 5.7
46..47 0.011 3319.7 700.3 0.1739 0.0020 0.0112 6.5 7.9
47..48 0.007 3319.7 700.3 0.1739 0.0012 0.0070 4.1 4.9
48..49 0.007 3319.7 700.3 0.1739 0.0013 0.0077 4.5 5.4
49..50 0.004 3319.7 700.3 0.1739 0.0008 0.0046 2.7 3.3
50..51 0.002 3319.7 700.3 0.1739 0.0004 0.0023 1.3 1.6
51..52 0.001 3319.7 700.3 0.1739 0.0001 0.0008 0.5 0.6
52..53 0.017 3319.7 700.3 0.1739 0.0031 0.0181 10.4 12.6
53..54 0.002 3319.7 700.3 0.1739 0.0004 0.0026 1.5 1.8
54..16 0.000 3319.7 700.3 0.1739 0.0000 0.0000 0.0 0.0
54..28 0.001 3319.7 700.3 0.1739 0.0001 0.0008 0.5 0.6
53..10 0.005 3319.7 700.3 0.1739 0.0009 0.0051 2.9 3.6
52..1 0.003 3319.7 700.3 0.1739 0.0006 0.0034 2.0 2.4
51..23 0.016 3319.7 700.3 0.1739 0.0028 0.0164 9.4 11.5
50..55 0.005 3319.7 700.3 0.1739 0.0010 0.0056 3.2 3.9
55..2 0.011 3319.7 700.3 0.1739 0.0019 0.0112 6.5 7.8
55..56 0.012 3319.7 700.3 0.1739 0.0021 0.0121 7.0 8.5
56..20 0.000 3319.7 700.3 0.1739 0.0000 0.0000 0.0 0.0
56..24 0.001 3319.7 700.3 0.1739 0.0001 0.0009 0.5 0.6
49..18 0.013 3319.7 700.3 0.1739 0.0024 0.0136 7.9 9.5
48..57 0.013 3319.7 700.3 0.1739 0.0023 0.0132 7.6 9.2
57..22 0.018 3319.7 700.3 0.1739 0.0032 0.0185 10.7 12.9
57..30 0.020 3319.7 700.3 0.1739 0.0037 0.0211 12.2 14.8
47..5 0.017 3319.7 700.3 0.1739 0.0031 0.0181 10.4 12.6
46..19 0.015 3319.7 700.3 0.1739 0.0027 0.0157 9.0 11.0
45..6 0.051 3319.7 700.3 0.1739 0.0094 0.0538 31.1 37.7
44..8 0.021 3319.7 700.3 0.1739 0.0038 0.0216 12.5 15.1
39..3 0.009 3319.7 700.3 0.1739 0.0017 0.0099 5.7 6.9
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C251)
Pr(w>1) post mean +- SE for w
25 S 0.913 4.124
33 V 0.654 3.238
85 L 0.779 3.665
186 W 0.943 4.226
461 K 0.694 3.376
465 A 0.531 2.816
1292 G 0.534 2.827
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C251)
Pr(w>1) post mean +- SE for w
11 T 0.742 1.564 +- 0.509
23 T 0.518 1.301 +- 0.579
25 S 0.858 1.649 +- 0.483
29 V 0.573 1.403 +- 0.485
33 V 0.852 1.642 +- 0.483
84 L 0.692 1.513 +- 0.534
85 L 0.822 1.625 +- 0.493
145 T 0.554 1.354 +- 0.560
147 L 0.751 1.572 +- 0.508
148 G 0.726 1.541 +- 0.495
173 N 0.502 1.331 +- 0.458
175 N 0.787 1.594 +- 0.496
179 Q 0.706 1.533 +- 0.509
180 R 0.653 1.469 +- 0.559
181 V 0.775 1.588 +- 0.500
186 W 0.878 1.662 +- 0.476
287 K 0.515 1.298 +- 0.578
457 Q 0.616 1.447 +- 0.496
461 K 0.814 1.619 +- 0.495
465 A 0.791 1.601 +- 0.498
472 D 0.572 1.401 +- 0.463
491 V 0.672 1.501 +- 0.506
521 K 0.507 1.287 +- 0.579
581 F 0.682 1.496 +- 0.530
604 I 0.703 1.526 +- 0.500
695 S 0.724 1.548 +- 0.509
739 T 0.515 1.298 +- 0.578
942 E 0.649 1.478 +- 0.502
1003 G 0.767 1.577 +- 0.496
1007 E 0.667 1.496 +- 0.505
1157 D 0.692 1.510 +- 0.491
1214 T 0.527 1.314 +- 0.577
1221 K 0.564 1.362 +- 0.573
1292 G 0.759 1.579 +- 0.507
The grid (see ternary graph for p0-p1)
w0: 0.050 0.150 0.250 0.350 0.450 0.550 0.650 0.750 0.850 0.950
w2: 1.500 2.500 3.500 4.500 5.500 6.500 7.500 8.500 9.500 10.500
Posterior on the grid
w0: 1.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
w2: 0.772 0.227 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
Posterior for p0-p1 (see the ternary graph) (YWN2015, fig. 1)
0.000
0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.167 0.833
sum of density on p0-p1 = 1.000000
Time used: 1:12:46
Model 7: beta (10 categories)
TREE # 1: (12, (((((13, 7), 29), 14), ((17, 27), 4)), 15, 9), (((((11, 26), 21), 25), (((((((((((16, 28), 10), 1), 23), (2, (20, 24))), 18), (22, 30)), 5), 19), 6), 8)), 3)); MP score: 720
lnL(ntime: 56 np: 59): -9980.401559 +0.000000
31..12 31..32 32..33 33..34 34..35 35..36 36..13 36..7 35..29 34..14 33..37 37..38 38..17 38..27 37..4 32..15 32..9 31..39 39..40 40..41 41..42 42..43 43..11 43..26 42..21 41..25 40..44 44..45 45..46 46..47 47..48 48..49 49..50 50..51 51..52 52..53 53..54 54..16 54..28 53..10 52..1 51..23 50..55 55..2 55..56 56..20 56..24 49..18 48..57 57..22 57..30 47..5 46..19 45..6 44..8 39..3
0.004801 0.025670 0.001581 0.008761 0.003997 0.002328 0.003151 0.000788 0.020037 0.004762 0.000788 0.007163 0.001573 0.002375 0.007928 0.000789 0.000789 0.004373 0.048406 0.014636 0.003576 0.003190 0.003183 0.000791 0.003982 0.006816 0.025184 0.145678 0.007926 0.010412 0.006528 0.007206 0.004314 0.002170 0.000759 0.016786 0.002378 0.000004 0.000791 0.004749 0.003213 0.015216 0.005179 0.010415 0.011233 0.000004 0.000793 0.012680 0.012151 0.017210 0.019620 0.016808 0.014535 0.049514 0.018799 0.009258 3.217637 0.075033 0.437170
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.637746
(12: 0.004801, (((((13: 0.003151, 7: 0.000788): 0.002328, 29: 0.020037): 0.003997, 14: 0.004762): 0.008761, ((17: 0.001573, 27: 0.002375): 0.007163, 4: 0.007928): 0.000788): 0.001581, 15: 0.000789, 9: 0.000789): 0.025670, (((((11: 0.003183, 26: 0.000791): 0.003190, 21: 0.003982): 0.003576, 25: 0.006816): 0.014636, (((((((((((16: 0.000004, 28: 0.000791): 0.002378, 10: 0.004749): 0.016786, 1: 0.003213): 0.000759, 23: 0.015216): 0.002170, (2: 0.010415, (20: 0.000004, 24: 0.000793): 0.011233): 0.005179): 0.004314, 18: 0.012680): 0.007206, (22: 0.017210, 30: 0.019620): 0.012151): 0.006528, 5: 0.016808): 0.010412, 19: 0.014535): 0.007926, 6: 0.049514): 0.145678, 8: 0.018799): 0.025184): 0.048406, 3: 0.009258): 0.004373);
(C216: 0.004801, (((((C85: 0.003151, C94: 0.000788): 0.002328, C83: 0.020037): 0.003997, C64: 0.004762): 0.008761, ((C161: 0.001573, C22: 0.002375): 0.007163, C4: 0.007928): 0.000788): 0.001581, C30: 0.000789, C45: 0.000789): 0.025670, (((((C298: 0.003183, C61: 0.000791): 0.003190, C19: 0.003982): 0.003576, C8: 0.006816): 0.014636, (((((((((((C237: 0.000004, C142: 0.000791): 0.002378, C122: 0.004749): 0.016786, C251: 0.003213): 0.000759, C135: 0.015216): 0.002170, (C235: 0.010415, (C130: 0.000004, C134: 0.000793): 0.011233): 0.005179): 0.004314, C269: 0.012680): 0.007206, (C47: 0.017210, C29: 0.019620): 0.012151): 0.006528, C279: 0.016808): 0.010412, C71: 0.014535): 0.007926, C66: 0.049514): 0.145678, C182: 0.018799): 0.025184): 0.048406, C192: 0.009258): 0.004373);
Detailed output identifying parameters
kappa (ts/tv) = 3.21764
Parameters in M7 (beta):
p = 0.07503 q = 0.43717
MLEs of dN/dS (w) for site classes (K=10)
p: 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000
w: 0.00000 0.00000 0.00000 0.00000 0.00012 0.00168 0.01548 0.09953 0.42482 0.92567
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.005 3322.7 697.3 0.1467 0.0008 0.0054 2.6 3.8
31..32 0.026 3322.7 697.3 0.1467 0.0043 0.0290 14.2 20.2
32..33 0.002 3322.7 697.3 0.1467 0.0003 0.0018 0.9 1.2
33..34 0.009 3322.7 697.3 0.1467 0.0015 0.0099 4.8 6.9
34..35 0.004 3322.7 697.3 0.1467 0.0007 0.0045 2.2 3.2
35..36 0.002 3322.7 697.3 0.1467 0.0004 0.0026 1.3 1.8
36..13 0.003 3322.7 697.3 0.1467 0.0005 0.0036 1.7 2.5
36..7 0.001 3322.7 697.3 0.1467 0.0001 0.0009 0.4 0.6
35..29 0.020 3322.7 697.3 0.1467 0.0033 0.0227 11.0 15.8
34..14 0.005 3322.7 697.3 0.1467 0.0008 0.0054 2.6 3.8
33..37 0.001 3322.7 697.3 0.1467 0.0001 0.0009 0.4 0.6
37..38 0.007 3322.7 697.3 0.1467 0.0012 0.0081 3.9 5.6
38..17 0.002 3322.7 697.3 0.1467 0.0003 0.0018 0.9 1.2
38..27 0.002 3322.7 697.3 0.1467 0.0004 0.0027 1.3 1.9
37..4 0.008 3322.7 697.3 0.1467 0.0013 0.0090 4.4 6.3
32..15 0.001 3322.7 697.3 0.1467 0.0001 0.0009 0.4 0.6
32..9 0.001 3322.7 697.3 0.1467 0.0001 0.0009 0.4 0.6
31..39 0.004 3322.7 697.3 0.1467 0.0007 0.0049 2.4 3.4
39..40 0.048 3322.7 697.3 0.1467 0.0080 0.0547 26.7 38.2
40..41 0.015 3322.7 697.3 0.1467 0.0024 0.0166 8.1 11.5
41..42 0.004 3322.7 697.3 0.1467 0.0006 0.0040 2.0 2.8
42..43 0.003 3322.7 697.3 0.1467 0.0005 0.0036 1.8 2.5
43..11 0.003 3322.7 697.3 0.1467 0.0005 0.0036 1.8 2.5
43..26 0.001 3322.7 697.3 0.1467 0.0001 0.0009 0.4 0.6
42..21 0.004 3322.7 697.3 0.1467 0.0007 0.0045 2.2 3.1
41..25 0.007 3322.7 697.3 0.1467 0.0011 0.0077 3.8 5.4
40..44 0.025 3322.7 697.3 0.1467 0.0042 0.0285 13.9 19.9
44..45 0.146 3322.7 697.3 0.1467 0.0242 0.1648 80.3 114.9
45..46 0.008 3322.7 697.3 0.1467 0.0013 0.0090 4.4 6.3
46..47 0.010 3322.7 697.3 0.1467 0.0017 0.0118 5.7 8.2
47..48 0.007 3322.7 697.3 0.1467 0.0011 0.0074 3.6 5.1
48..49 0.007 3322.7 697.3 0.1467 0.0012 0.0081 4.0 5.7
49..50 0.004 3322.7 697.3 0.1467 0.0007 0.0049 2.4 3.4
50..51 0.002 3322.7 697.3 0.1467 0.0004 0.0025 1.2 1.7
51..52 0.001 3322.7 697.3 0.1467 0.0001 0.0009 0.4 0.6
52..53 0.017 3322.7 697.3 0.1467 0.0028 0.0190 9.3 13.2
53..54 0.002 3322.7 697.3 0.1467 0.0004 0.0027 1.3 1.9
54..16 0.000 3322.7 697.3 0.1467 0.0000 0.0000 0.0 0.0
54..28 0.001 3322.7 697.3 0.1467 0.0001 0.0009 0.4 0.6
53..10 0.005 3322.7 697.3 0.1467 0.0008 0.0054 2.6 3.7
52..1 0.003 3322.7 697.3 0.1467 0.0005 0.0036 1.8 2.5
51..23 0.015 3322.7 697.3 0.1467 0.0025 0.0172 8.4 12.0
50..55 0.005 3322.7 697.3 0.1467 0.0009 0.0059 2.9 4.1
55..2 0.010 3322.7 697.3 0.1467 0.0017 0.0118 5.7 8.2
55..56 0.011 3322.7 697.3 0.1467 0.0019 0.0127 6.2 8.9
56..20 0.000 3322.7 697.3 0.1467 0.0000 0.0000 0.0 0.0
56..24 0.001 3322.7 697.3 0.1467 0.0001 0.0009 0.4 0.6
49..18 0.013 3322.7 697.3 0.1467 0.0021 0.0143 7.0 10.0
48..57 0.012 3322.7 697.3 0.1467 0.0020 0.0137 6.7 9.6
57..22 0.017 3322.7 697.3 0.1467 0.0029 0.0195 9.5 13.6
57..30 0.020 3322.7 697.3 0.1467 0.0033 0.0222 10.8 15.5
47..5 0.017 3322.7 697.3 0.1467 0.0028 0.0190 9.3 13.3
46..19 0.015 3322.7 697.3 0.1467 0.0024 0.0164 8.0 11.5
45..6 0.050 3322.7 697.3 0.1467 0.0082 0.0560 27.3 39.0
44..8 0.019 3322.7 697.3 0.1467 0.0031 0.0213 10.4 14.8
39..3 0.009 3322.7 697.3 0.1467 0.0015 0.0105 5.1 7.3
Time used: 3:27:54
Model 8: beta&w>1 (11 categories)
TREE # 1: (12, (((((13, 7), 29), 14), ((17, 27), 4)), 15, 9), (((((11, 26), 21), 25), (((((((((((16, 28), 10), 1), 23), (2, (20, 24))), 18), (22, 30)), 5), 19), 6), 8)), 3)); MP score: 720
lnL(ntime: 56 np: 61): -9970.563402 +0.000000
31..12 31..32 32..33 33..34 34..35 35..36 36..13 36..7 35..29 34..14 33..37 37..38 38..17 38..27 37..4 32..15 32..9 31..39 39..40 40..41 41..42 42..43 43..11 43..26 42..21 41..25 40..44 44..45 45..46 46..47 47..48 48..49 49..50 50..51 51..52 52..53 53..54 54..16 54..28 53..10 52..1 51..23 50..55 55..2 55..56 56..20 56..24 49..18 48..57 57..22 57..30 47..5 46..19 45..6 44..8 39..3
0.004889 0.026226 0.001613 0.008962 0.004062 0.002397 0.003210 0.000802 0.020434 0.004865 0.000809 0.007309 0.001606 0.002412 0.008099 0.000805 0.000805 0.004510 0.049738 0.015045 0.003710 0.003237 0.003227 0.000802 0.004041 0.006863 0.024701 0.151296 0.008124 0.010648 0.006699 0.007344 0.004415 0.002212 0.000776 0.017137 0.002431 0.000004 0.000806 0.004835 0.003276 0.015536 0.005288 0.010619 0.011461 0.000004 0.000807 0.012931 0.012519 0.017532 0.020033 0.017102 0.014859 0.050764 0.020398 0.009440 3.293510 0.981280 0.135621 1.030281 2.971589
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.654474
(12: 0.004889, (((((13: 0.003210, 7: 0.000802): 0.002397, 29: 0.020434): 0.004062, 14: 0.004865): 0.008962, ((17: 0.001606, 27: 0.002412): 0.007309, 4: 0.008099): 0.000809): 0.001613, 15: 0.000805, 9: 0.000805): 0.026226, (((((11: 0.003227, 26: 0.000802): 0.003237, 21: 0.004041): 0.003710, 25: 0.006863): 0.015045, (((((((((((16: 0.000004, 28: 0.000806): 0.002431, 10: 0.004835): 0.017137, 1: 0.003276): 0.000776, 23: 0.015536): 0.002212, (2: 0.010619, (20: 0.000004, 24: 0.000807): 0.011461): 0.005288): 0.004415, 18: 0.012931): 0.007344, (22: 0.017532, 30: 0.020033): 0.012519): 0.006699, 5: 0.017102): 0.010648, 19: 0.014859): 0.008124, 6: 0.050764): 0.151296, 8: 0.020398): 0.024701): 0.049738, 3: 0.009440): 0.004510);
(C216: 0.004889, (((((C85: 0.003210, C94: 0.000802): 0.002397, C83: 0.020434): 0.004062, C64: 0.004865): 0.008962, ((C161: 0.001606, C22: 0.002412): 0.007309, C4: 0.008099): 0.000809): 0.001613, C30: 0.000805, C45: 0.000805): 0.026226, (((((C298: 0.003227, C61: 0.000802): 0.003237, C19: 0.004041): 0.003710, C8: 0.006863): 0.015045, (((((((((((C237: 0.000004, C142: 0.000806): 0.002431, C122: 0.004835): 0.017137, C251: 0.003276): 0.000776, C135: 0.015536): 0.002212, (C235: 0.010619, (C130: 0.000004, C134: 0.000807): 0.011461): 0.005288): 0.004415, C269: 0.012931): 0.007344, (C47: 0.017532, C29: 0.020033): 0.012519): 0.006699, C279: 0.017102): 0.010648, C71: 0.014859): 0.008124, C66: 0.050764): 0.151296, C182: 0.020398): 0.024701): 0.049738, C192: 0.009440): 0.004510);
Detailed output identifying parameters
kappa (ts/tv) = 3.29351
Parameters in M8 (beta&w>1):
p0 = 0.98128 p = 0.13562 q = 1.03028
(p1 = 0.01872) w = 2.97159
MLEs of dN/dS (w) for site classes (K=11)
p: 0.09813 0.09813 0.09813 0.09813 0.09813 0.09813 0.09813 0.09813 0.09813 0.09813 0.01872
w: 0.00000 0.00000 0.00003 0.00042 0.00265 0.01165 0.03996 0.11503 0.29101 0.67022 2.97159
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.005 3320.7 699.3 0.1666 0.0009 0.0052 2.9 3.7
31..32 0.026 3320.7 699.3 0.1666 0.0047 0.0281 15.5 19.6
32..33 0.002 3320.7 699.3 0.1666 0.0003 0.0017 1.0 1.2
33..34 0.009 3320.7 699.3 0.1666 0.0016 0.0096 5.3 6.7
34..35 0.004 3320.7 699.3 0.1666 0.0007 0.0043 2.4 3.0
35..36 0.002 3320.7 699.3 0.1666 0.0004 0.0026 1.4 1.8
36..13 0.003 3320.7 699.3 0.1666 0.0006 0.0034 1.9 2.4
36..7 0.001 3320.7 699.3 0.1666 0.0001 0.0009 0.5 0.6
35..29 0.020 3320.7 699.3 0.1666 0.0036 0.0219 12.1 15.3
34..14 0.005 3320.7 699.3 0.1666 0.0009 0.0052 2.9 3.6
33..37 0.001 3320.7 699.3 0.1666 0.0001 0.0009 0.5 0.6
37..38 0.007 3320.7 699.3 0.1666 0.0013 0.0078 4.3 5.5
38..17 0.002 3320.7 699.3 0.1666 0.0003 0.0017 1.0 1.2
38..27 0.002 3320.7 699.3 0.1666 0.0004 0.0026 1.4 1.8
37..4 0.008 3320.7 699.3 0.1666 0.0014 0.0087 4.8 6.1
32..15 0.001 3320.7 699.3 0.1666 0.0001 0.0009 0.5 0.6
32..9 0.001 3320.7 699.3 0.1666 0.0001 0.0009 0.5 0.6
31..39 0.005 3320.7 699.3 0.1666 0.0008 0.0048 2.7 3.4
39..40 0.050 3320.7 699.3 0.1666 0.0089 0.0532 29.4 37.2
40..41 0.015 3320.7 699.3 0.1666 0.0027 0.0161 8.9 11.3
41..42 0.004 3320.7 699.3 0.1666 0.0007 0.0040 2.2 2.8
42..43 0.003 3320.7 699.3 0.1666 0.0006 0.0035 1.9 2.4
43..11 0.003 3320.7 699.3 0.1666 0.0006 0.0035 1.9 2.4
43..26 0.001 3320.7 699.3 0.1666 0.0001 0.0009 0.5 0.6
42..21 0.004 3320.7 699.3 0.1666 0.0007 0.0043 2.4 3.0
41..25 0.007 3320.7 699.3 0.1666 0.0012 0.0073 4.1 5.1
40..44 0.025 3320.7 699.3 0.1666 0.0044 0.0264 14.6 18.5
44..45 0.151 3320.7 699.3 0.1666 0.0270 0.1619 89.5 113.2
45..46 0.008 3320.7 699.3 0.1666 0.0014 0.0087 4.8 6.1
46..47 0.011 3320.7 699.3 0.1666 0.0019 0.0114 6.3 8.0
47..48 0.007 3320.7 699.3 0.1666 0.0012 0.0072 4.0 5.0
48..49 0.007 3320.7 699.3 0.1666 0.0013 0.0079 4.3 5.5
49..50 0.004 3320.7 699.3 0.1666 0.0008 0.0047 2.6 3.3
50..51 0.002 3320.7 699.3 0.1666 0.0004 0.0024 1.3 1.7
51..52 0.001 3320.7 699.3 0.1666 0.0001 0.0008 0.5 0.6
52..53 0.017 3320.7 699.3 0.1666 0.0031 0.0183 10.1 12.8
53..54 0.002 3320.7 699.3 0.1666 0.0004 0.0026 1.4 1.8
54..16 0.000 3320.7 699.3 0.1666 0.0000 0.0000 0.0 0.0
54..28 0.001 3320.7 699.3 0.1666 0.0001 0.0009 0.5 0.6
53..10 0.005 3320.7 699.3 0.1666 0.0009 0.0052 2.9 3.6
52..1 0.003 3320.7 699.3 0.1666 0.0006 0.0035 1.9 2.5
51..23 0.016 3320.7 699.3 0.1666 0.0028 0.0166 9.2 11.6
50..55 0.005 3320.7 699.3 0.1666 0.0009 0.0057 3.1 4.0
55..2 0.011 3320.7 699.3 0.1666 0.0019 0.0114 6.3 7.9
55..56 0.011 3320.7 699.3 0.1666 0.0020 0.0123 6.8 8.6
56..20 0.000 3320.7 699.3 0.1666 0.0000 0.0000 0.0 0.0
56..24 0.001 3320.7 699.3 0.1666 0.0001 0.0009 0.5 0.6
49..18 0.013 3320.7 699.3 0.1666 0.0023 0.0138 7.7 9.7
48..57 0.013 3320.7 699.3 0.1666 0.0022 0.0134 7.4 9.4
57..22 0.018 3320.7 699.3 0.1666 0.0031 0.0188 10.4 13.1
57..30 0.020 3320.7 699.3 0.1666 0.0036 0.0214 11.9 15.0
47..5 0.017 3320.7 699.3 0.1666 0.0030 0.0183 10.1 12.8
46..19 0.015 3320.7 699.3 0.1666 0.0026 0.0159 8.8 11.1
45..6 0.051 3320.7 699.3 0.1666 0.0090 0.0543 30.0 38.0
44..8 0.020 3320.7 699.3 0.1666 0.0036 0.0218 12.1 15.3
39..3 0.009 3320.7 699.3 0.1666 0.0017 0.0101 5.6 7.1
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C251)
Pr(w>1) post mean +- SE for w
11 T 0.771 2.435
25 S 0.978* 2.920
33 V 0.962* 2.883
84 L 0.614 2.058
85 L 0.943 2.840
147 L 0.799 2.501
148 G 0.648 2.157
175 N 0.854 2.633
179 Q 0.640 2.127
180 R 0.524 1.836
181 V 0.840 2.600
186 W 0.988* 2.943
461 K 0.928 2.805
465 A 0.885 2.704
491 V 0.506 1.811
581 F 0.527 1.852
604 I 0.593 2.023
695 S 0.705 2.280
1003 G 0.792 2.489
1157 D 0.527 1.875
1292 G 0.825 2.562
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C251)
Pr(w>1) post mean +- SE for w
11 T 0.896 1.455 +- 0.365
23 T 0.613 1.117 +- 0.590
25 S 0.971* 1.528 +- 0.261
29 V 0.746 1.296 +- 0.481
33 V 0.975* 1.532 +- 0.253
84 L 0.830 1.381 +- 0.449
85 L 0.956* 1.514 +- 0.284
118 M 0.554 1.042 +- 0.603
145 T 0.666 1.186 +- 0.564
147 L 0.902 1.462 +- 0.358
148 G 0.924 1.486 +- 0.315
154 F 0.556 1.045 +- 0.603
173 N 0.666 1.205 +- 0.515
175 N 0.949 1.509 +- 0.288
179 Q 0.869 1.429 +- 0.392
180 R 0.772 1.311 +- 0.508
181 V 0.934 1.495 +- 0.311
186 W 0.980* 1.535 +- 0.248
206 D 0.656 1.194 +- 0.519
256 L 0.570 1.062 +- 0.601
287 K 0.610 1.114 +- 0.590
400 G 0.539 1.023 +- 0.606
457 Q 0.792 1.346 +- 0.454
461 K 0.953* 1.511 +- 0.288
465 A 0.942 1.502 +- 0.301
472 D 0.797 1.357 +- 0.427
491 V 0.842 1.400 +- 0.416
495 T 0.600 1.129 +- 0.533
521 K 0.600 1.101 +- 0.593
529 A 0.614 1.146 +- 0.530
551 G 0.517 0.995 +- 0.608
581 F 0.839 1.388 +- 0.440
604 I 0.892 1.454 +- 0.358
695 S 0.883 1.443 +- 0.378
739 T 0.610 1.113 +- 0.590
942 E 0.823 1.379 +- 0.432
1003 G 0.942 1.502 +- 0.297
1007 E 0.838 1.396 +- 0.419
1157 D 0.907 1.470 +- 0.333
1214 T 0.625 1.132 +- 0.586
1221 K 0.670 1.189 +- 0.568
1237 D 0.567 1.091 +- 0.541
1252 D 0.609 1.140 +- 0.532
1292 G 0.908 1.468 +- 0.350
The grid
p0: 0.050 0.150 0.250 0.350 0.450 0.550 0.650 0.750 0.850 0.950
p : 0.100 0.300 0.500 0.700 0.900 1.100 1.300 1.500 1.700 1.900
q : 0.100 0.300 0.500 0.700 0.900 1.100 1.300 1.500 1.700 1.900
ws: 1.500 2.500 3.500 4.500 5.500 6.500 7.500 8.500 9.500 10.500
Posterior on the grid
p0: 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 1.000
p : 1.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
q : 0.000 0.000 0.000 0.000 0.000 0.003 0.041 0.158 0.329 0.469
ws: 0.949 0.051 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
Time used: 5:47:00
Model 1: NearlyNeutral -9977.797468
Model 2: PositiveSelection -9972.733190
Model 7: beta -9980.401559
Model 8: beta&w>1 -9970.563402
Model 2 vs 1 10.128556
Additional information for M1 vs M2:
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C251)
Pr(w>1) post mean +- SE for w
25 S 0.913 4.124
33 V 0.654 3.238
85 L 0.779 3.665
186 W 0.943 4.226
461 K 0.694 3.376
465 A 0.531 2.816
1292 G 0.534 2.827
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C251)
Pr(w>1) post mean +- SE for w
11 T 0.742 1.564 +- 0.509
23 T 0.518 1.301 +- 0.579
25 S 0.858 1.649 +- 0.483
29 V 0.573 1.403 +- 0.485
33 V 0.852 1.642 +- 0.483
84 L 0.692 1.513 +- 0.534
85 L 0.822 1.625 +- 0.493
145 T 0.554 1.354 +- 0.560
147 L 0.751 1.572 +- 0.508
148 G 0.726 1.541 +- 0.495
173 N 0.502 1.331 +- 0.458
175 N 0.787 1.594 +- 0.496
179 Q 0.706 1.533 +- 0.509
180 R 0.653 1.469 +- 0.559
181 V 0.775 1.588 +- 0.500
186 W 0.878 1.662 +- 0.476
287 K 0.515 1.298 +- 0.578
457 Q 0.616 1.447 +- 0.496
461 K 0.814 1.619 +- 0.495
465 A 0.791 1.601 +- 0.498
472 D 0.572 1.401 +- 0.463
491 V 0.672 1.501 +- 0.506
521 K 0.507 1.287 +- 0.579
581 F 0.682 1.496 +- 0.530
604 I 0.703 1.526 +- 0.500
695 S 0.724 1.548 +- 0.509
739 T 0.515 1.298 +- 0.578
942 E 0.649 1.478 +- 0.502
1003 G 0.767 1.577 +- 0.496
1007 E 0.667 1.496 +- 0.505
1157 D 0.692 1.510 +- 0.491
1214 T 0.527 1.314 +- 0.577
1221 K 0.564 1.362 +- 0.573
1292 G 0.759 1.579 +- 0.507
Model 8 vs 7 19.676314
Additional information for M7 vs M8:
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C251)
Pr(w>1) post mean +- SE for w
11 T 0.771 2.435
25 S 0.978* 2.920
33 V 0.962* 2.883
84 L 0.614 2.058
85 L 0.943 2.840
147 L 0.799 2.501
148 G 0.648 2.157
175 N 0.854 2.633
179 Q 0.640 2.127
180 R 0.524 1.836
181 V 0.840 2.600
186 W 0.988* 2.943
461 K 0.928 2.805
465 A 0.885 2.704
491 V 0.506 1.811
581 F 0.527 1.852
604 I 0.593 2.023
695 S 0.705 2.280
1003 G 0.792 2.489
1157 D 0.527 1.875
1292 G 0.825 2.562
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C251)
Pr(w>1) post mean +- SE for w
11 T 0.896 1.455 +- 0.365
23 T 0.613 1.117 +- 0.590
25 S 0.971* 1.528 +- 0.261
29 V 0.746 1.296 +- 0.481
33 V 0.975* 1.532 +- 0.253
84 L 0.830 1.381 +- 0.449
85 L 0.956* 1.514 +- 0.284
118 M 0.554 1.042 +- 0.603
145 T 0.666 1.186 +- 0.564
147 L 0.902 1.462 +- 0.358
148 G 0.924 1.486 +- 0.315
154 F 0.556 1.045 +- 0.603
173 N 0.666 1.205 +- 0.515
175 N 0.949 1.509 +- 0.288
179 Q 0.869 1.429 +- 0.392
180 R 0.772 1.311 +- 0.508
181 V 0.934 1.495 +- 0.311
186 W 0.980* 1.535 +- 0.248
206 D 0.656 1.194 +- 0.519
256 L 0.570 1.062 +- 0.601
287 K 0.610 1.114 +- 0.590
400 G 0.539 1.023 +- 0.606
457 Q 0.792 1.346 +- 0.454
461 K 0.953* 1.511 +- 0.288
465 A 0.942 1.502 +- 0.301
472 D 0.797 1.357 +- 0.427
491 V 0.842 1.400 +- 0.416
495 T 0.600 1.129 +- 0.533
521 K 0.600 1.101 +- 0.593
529 A 0.614 1.146 +- 0.530
551 G 0.517 0.995 +- 0.608
581 F 0.839 1.388 +- 0.440
604 I 0.892 1.454 +- 0.358
695 S 0.883 1.443 +- 0.378
739 T 0.610 1.113 +- 0.590
942 E 0.823 1.379 +- 0.432
1003 G 0.942 1.502 +- 0.297
1007 E 0.838 1.396 +- 0.419
1157 D 0.907 1.470 +- 0.333
1214 T 0.625 1.132 +- 0.586
1221 K 0.670 1.189 +- 0.568
1237 D 0.567 1.091 +- 0.541
1252 D 0.609 1.140 +- 0.532
1292 G 0.908 1.468 +- 0.350
Not all of the following information may be relevant for the case being handled, since this project may be part of a much larger auto-PSS-genome project where several methods of detection of positively selected sites have been used. As such the aligned.score_ascii file may have more sequences than the file effectively used to detect positively selected codons, since the content of this file reflects the content of the file used for the master alignment, from which a subsample may have been taken. # ### General parameters ### # # The maximum number of sequences to use for the master file sequence_limit=90 # The random seed random_seed=3976763 # ### Alignment ### # # The alignment method: clustalw, muscle, kalign, t_coffee, or amap align_method=muscle # Minimum support value for amino acid positions in the alignment tcoffee_min_score=3 # ### MrBayes ### # # Number of iterations in MrBayes mrbayes_generations=1000000 # MrBayes burnin mrbayes_burnin=2500 # ### FUBAR ### # # The maximum number of sequences to be used by FUBAR. fubar_sequence_limit=90 # The number of FUBAR runs fubar_runs=1 # ### codeML ### # # The maximum number of sequences to be used by CodeML codeml_sequence_limit=30 # The number of CodeML runs codeml_runs=1 # The CodeML models to be run, one or more of: '1', '2', '7', and/or '8'. codeml_models=1 2 7 8 # ### OmegaMap ### # # The maximum number of sequences to use in OmegaMap omegamap_sequence_limit=90 # The number of OmegaMap runs omegamap_runs=1 # The number of OmegaMap iterations omegamap_iterations=2500
Phone: +351 220 408 800
Email: info@i3s.up.pt
Address: Rua Alfredo Allen, 208
4200-135 Porto, Portugal
If you use B+, please cite us:
N. Vázquez, C.P. Vieira, B.S.R. Amorin, A. Torres, H. López-Fernández, F. Fdez-Riverola, J.L.R. Sousa, M. Reboiro-Jato, J. Vieira (2018) Large Scale Analyses and Visualization of Adaptive Amino Acid Changes Projects. Interdisciplinary Sciences: Computational Life Sciences. https://doi.org/10.1007/s12539-018-0282-7
N. Vázquez, C.P. Vieira, B.S.R. Amorin, A. Torres, H. López-Fernández, F. Fdez-Riverola, J.L.R. Sousa, M. Reboiro-Jato, J. Vieira (2017) Automated Collection and Sharing of Adaptive Amino Acid Changes Data. 11th International Conference on Practical Applications of Computational Biology & Bioinformatics. Porto, Portugal. https://doi.org/10.1007/978-3-319-60816-7_3
