--- 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 -3990.81 -4021.82
2 -3993.36 -4019.10
--------------------------------------
TOTAL -3991.43 -4021.19
--------------------------------------
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} 0.147733 0.000152 0.123821 0.171171 0.147189 1384.70 1442.85 1.000
r(A<->C){all} 0.079795 0.000481 0.039967 0.122679 0.078303 680.98 798.76 1.002
r(A<->G){all} 0.269865 0.001186 0.208588 0.339241 0.268626 716.83 749.33 1.000
r(A<->T){all} 0.029096 0.000074 0.014089 0.046766 0.028157 1006.32 1069.73 1.000
r(C<->G){all} 0.062873 0.000454 0.023678 0.104757 0.059974 823.34 872.70 1.000
r(C<->T){all} 0.502376 0.001478 0.429121 0.575224 0.501784 654.50 714.12 1.000
r(G<->T){all} 0.055995 0.000149 0.032317 0.079733 0.055073 1055.63 1079.86 1.000
pi(A){all} 0.254935 0.000098 0.235367 0.274249 0.254782 812.45 1007.20 1.000
pi(C){all} 0.138849 0.000059 0.124281 0.153744 0.138909 1085.49 1123.54 1.000
pi(G){all} 0.227200 0.000090 0.209443 0.245672 0.227184 862.07 1061.84 1.000
pi(T){all} 0.379016 0.000117 0.356823 0.399088 0.378942 1224.28 1258.06 1.000
alpha{1,2} 0.293653 0.031880 0.000349 0.633293 0.260292 683.03 771.60 1.000
alpha{3} 2.016848 1.423593 0.354264 4.437631 1.760569 651.35 850.62 1.000
pinvar{all} 0.425632 0.016723 0.157511 0.640149 0.444410 594.13 648.87 1.000
------------------------------------------------------------------------------------------------------
* 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 -3844.809145
Model 2: PositiveSelection -3841.537851
Model 7: beta -3846.874481
Model 8: beta&w>1 -3842.368970
Model 2 vs 1 6.542588
Additional information for M1 vs M2:
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C182)
Pr(w>1) post mean +- SE for w
150 S 0.966* 10.922
526 A 0.864 9.872
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: C182)
Pr(w>1) post mean +- SE for w
45 L 0.638 1.517 +- 0.587
49 I 0.685 1.560 +- 0.586
134 D 0.570 1.439 +- 0.554
150 S 0.839 1.715 +- 0.638
176 V 0.725 1.616 +- 0.634
353 Q 0.637 1.512 +- 0.665
362 L 0.556 1.401 +- 0.647
526 A 0.780 1.672 +- 0.651
Model 8 vs 7 9.011022
Additional information for M7 vs M8:
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C182)
Pr(w>1) post mean +- SE for w
150 S 0.989* 10.605
526 A 0.927 9.982
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: C182)
Pr(w>1) post mean +- SE for w
45 L 0.800 1.442 +- 0.537
49 I 0.872 1.523 +- 0.477
115 H 0.513 1.054 +- 0.656
134 D 0.727 1.354 +- 0.568
150 S 0.955* 1.606 +- 0.412
176 V 0.871 1.522 +- 0.493
353 Q 0.741 1.364 +- 0.611
362 L 0.646 1.240 +- 0.649
526 A 0.911 1.564 +- 0.460
530 P 0.556 1.114 +- 0.657
-- Starting log on Fri Nov 18 14:39:22 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_L2_VIPR_ALG4_QEY10630_1_939_2753_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Fri Nov 18 14:41:17 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_L2_VIPR_ALG4_QEY10630_1_939_2753_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Fri Nov 18 19:52:05 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_L2_VIPR_ALG4_QEY10630_1_939_2753_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/gapped_alignment/codeml,DcCoV_HKU23_camel_Morocco_CAC2586_2016_L2_VIPR_ALG4_QEY10630_1_939_2753_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 1815 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C208
Taxon 2 -> C270
Taxon 3 -> C50
Taxon 4 -> C112
Taxon 5 -> C174
Taxon 6 -> C199
Taxon 7 -> C246
Taxon 8 -> C280
Taxon 9 -> C38
Taxon 10 -> C53
Taxon 11 -> C287
Taxon 12 -> C73
Taxon 13 -> C44
Taxon 14 -> C182
Taxon 15 -> C213
Taxon 16 -> C217
Taxon 17 -> C151
Taxon 18 -> C223
Taxon 19 -> C230
Taxon 20 -> C258
Taxon 21 -> C30
Taxon 22 -> C122
Taxon 23 -> C130
Taxon 24 -> C131
Taxon 25 -> C72
Taxon 26 -> C31
Taxon 27 -> C136
Taxon 28 -> C77
Taxon 29 -> C79
Taxon 30 -> C84
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1668801130
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) = 1986166238
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 = 6454856669
Seed = 9430257
Swapseed = 1668801130
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 46 unique site patterns
Division 2 has 32 unique site patterns
Division 3 has 89 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 -- -8232.695413 -- 82.122948
Chain 2 -- -7859.709665 -- 82.122948
Chain 3 -- -7864.888775 -- 82.122948
Chain 4 -- -7855.026705 -- 82.122948
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -7978.334097 -- 82.122948
Chain 2 -- -7905.470427 -- 82.122948
Chain 3 -- -8050.199948 -- 82.122948
Chain 4 -- -8474.729767 -- 82.122948
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-8232.695] (-7859.710) (-7864.889) (-7855.027) * [-7978.334] (-7905.470) (-8050.200) (-8474.730)
1000 -- [-4216.323] (-4395.247) (-4254.764) (-4228.949) * (-4154.963) (-4180.808) (-4291.465) [-4163.604] -- 0:16:39
2000 -- (-4055.976) [-4075.252] (-4102.908) (-4057.149) * (-4085.821) [-4062.680] (-4122.937) (-4047.050) -- 0:16:38
3000 -- (-4011.047) [-4012.566] (-4058.241) (-4025.039) * [-4023.768] (-4018.712) (-4056.380) (-4018.685) -- 0:16:37
4000 -- (-4029.420) [-4000.683] (-4048.508) (-4006.864) * (-4019.875) [-4002.539] (-4048.600) (-4008.694) -- 0:16:36
5000 -- (-4003.480) (-4011.925) [-4045.371] (-4014.204) * [-4000.383] (-4034.575) (-4025.986) (-4016.865) -- 0:16:35
Average standard deviation of split frequencies: 0.073480
6000 -- [-4001.930] (-4019.707) (-4031.348) (-4009.506) * (-4005.851) [-4008.784] (-4019.304) (-4011.193) -- 0:16:34
7000 -- (-4009.797) [-4010.864] (-4025.520) (-4023.491) * (-4011.559) [-4002.798] (-4015.912) (-4010.823) -- 0:16:33
8000 -- [-4008.710] (-4003.850) (-4002.828) (-4020.858) * (-4012.976) (-4008.033) (-4022.926) [-4009.773] -- 0:16:32
9000 -- (-4003.422) [-4013.562] (-4006.860) (-4026.171) * (-3996.334) (-4010.509) (-4012.189) [-4001.132] -- 0:16:31
10000 -- [-3993.915] (-4014.603) (-4007.999) (-4007.417) * (-4000.025) [-4000.000] (-4011.330) (-4004.468) -- 0:16:30
Average standard deviation of split frequencies: 0.051172
11000 -- (-4012.652) (-4017.297) (-3999.691) [-4011.575] * (-3999.738) (-4001.339) [-4000.030] (-4028.237) -- 0:16:29
12000 -- (-4006.128) (-4019.401) [-4001.081] (-4019.170) * (-4007.916) (-4016.295) [-4003.915] (-4004.546) -- 0:17:50
13000 -- [-3997.485] (-4025.281) (-4005.390) (-4005.366) * (-3996.683) (-4013.451) (-4001.140) [-4010.326] -- 0:17:42
14000 -- (-4012.880) (-4038.142) (-4000.419) [-3998.990] * [-3997.353] (-4004.013) (-4009.764) (-4013.245) -- 0:17:36
15000 -- (-4025.899) (-4022.774) [-3991.991] (-4007.482) * (-4005.826) (-4010.147) (-4009.996) [-4002.967] -- 0:17:30
Average standard deviation of split frequencies: 0.039284
16000 -- (-4021.059) (-4006.873) [-3995.424] (-4020.390) * [-3999.554] (-4011.121) (-4010.544) (-4019.731) -- 0:17:25
17000 -- (-4009.663) (-3999.378) [-4018.012] (-4014.887) * (-4012.071) (-4006.565) [-4004.802] (-4017.015) -- 0:17:20
18000 -- [-3993.440] (-4022.319) (-4007.968) (-4019.224) * (-4008.558) (-4024.718) [-4001.639] (-4005.294) -- 0:17:16
19000 -- [-3994.061] (-4004.255) (-4000.564) (-4023.190) * [-3996.221] (-4011.926) (-4014.065) (-4000.222) -- 0:17:12
20000 -- (-4008.100) (-4004.010) [-3998.917] (-4004.039) * (-4016.219) (-4012.911) [-3999.875] (-4013.629) -- 0:17:09
Average standard deviation of split frequencies: 0.038724
21000 -- (-4012.358) (-3995.025) [-4011.210] (-4006.704) * (-3999.432) [-4003.699] (-3999.509) (-4000.660) -- 0:17:05
22000 -- (-4016.675) (-4013.668) [-4004.347] (-3998.079) * (-4004.902) [-4008.590] (-4028.145) (-4011.947) -- 0:17:02
23000 -- [-4005.790] (-4028.765) (-4006.536) (-4005.002) * [-3998.153] (-4008.400) (-4020.814) (-4026.292) -- 0:16:59
24000 -- [-3996.554] (-4010.451) (-4004.043) (-4001.130) * [-4002.646] (-4018.031) (-4000.478) (-4002.849) -- 0:16:56
25000 -- [-4018.156] (-4017.359) (-4009.927) (-4019.119) * [-4002.278] (-4015.637) (-4008.110) (-4001.168) -- 0:16:53
Average standard deviation of split frequencies: 0.036946
26000 -- [-3996.986] (-4000.013) (-4002.752) (-4024.991) * (-4000.046) (-4012.570) [-3999.985] (-3995.231) -- 0:16:51
27000 -- [-4003.893] (-4004.174) (-4015.346) (-4017.850) * (-3998.204) (-4010.551) (-3995.954) [-4001.989] -- 0:17:25
28000 -- (-4010.050) [-4003.172] (-4004.079) (-3995.193) * (-4004.056) [-3995.780] (-4006.025) (-4025.204) -- 0:17:21
29000 -- (-4030.174) (-4005.278) (-4014.068) [-4003.984] * (-4009.995) [-4002.694] (-4008.133) (-4021.942) -- 0:17:17
30000 -- (-4017.139) (-4014.148) (-4009.653) [-4010.020] * (-4029.652) (-4013.964) [-4001.972] (-4008.583) -- 0:17:14
Average standard deviation of split frequencies: 0.035285
31000 -- (-3998.474) [-4002.877] (-4011.667) (-4022.156) * (-4000.340) [-4002.262] (-4015.300) (-4017.655) -- 0:17:11
32000 -- [-4005.657] (-4016.473) (-4020.899) (-4015.617) * (-3999.775) (-4020.211) (-4013.989) [-4007.681] -- 0:17:08
33000 -- (-4014.021) (-4005.419) (-4003.728) [-4003.988] * (-4033.417) (-4006.289) [-4003.863] (-4002.592) -- 0:17:05
34000 -- [-4003.967] (-4005.477) (-4011.454) (-3997.907) * (-4037.137) [-3997.371] (-4015.953) (-3997.219) -- 0:17:02
35000 -- (-4008.305) (-4012.359) (-4007.974) [-3996.586] * (-3994.513) [-4006.910] (-4010.871) (-4023.366) -- 0:17:00
Average standard deviation of split frequencies: 0.027103
36000 -- (-4006.417) [-3996.903] (-4011.616) (-4016.667) * (-4015.412) (-4009.980) (-4000.800) [-3999.429] -- 0:16:57
37000 -- (-4014.774) (-4010.218) (-4001.422) [-3990.372] * [-3998.439] (-4011.877) (-3999.424) (-4005.888) -- 0:16:55
38000 -- (-4005.085) (-4011.962) (-4007.797) [-4009.009] * (-4020.422) (-4004.990) [-3993.102] (-4001.836) -- 0:16:52
39000 -- [-4006.283] (-4006.245) (-4017.263) (-3997.166) * [-3992.190] (-4017.670) (-3996.755) (-4009.596) -- 0:16:50
40000 -- [-3992.329] (-4001.906) (-4000.957) (-4012.436) * (-4003.071) (-4016.910) (-4007.539) [-3994.798] -- 0:16:47
Average standard deviation of split frequencies: 0.026234
41000 -- [-4004.427] (-4010.284) (-4000.954) (-4001.718) * (-3998.787) [-4004.089] (-4009.413) (-4000.698) -- 0:16:45
42000 -- (-4002.222) (-4000.379) (-4013.017) [-4000.175] * [-3997.915] (-4013.394) (-4012.306) (-4005.297) -- 0:16:43
43000 -- (-4021.162) [-4008.661] (-3995.576) (-4013.480) * [-3993.712] (-4003.553) (-4012.668) (-4023.693) -- 0:16:41
44000 -- (-4016.419) (-4007.433) (-4016.393) [-4008.422] * (-4010.236) [-3997.923] (-4009.302) (-4021.860) -- 0:17:01
45000 -- [-4003.363] (-4028.182) (-3999.462) (-4004.736) * (-4001.703) [-4000.519] (-4007.704) (-3998.247) -- 0:16:58
Average standard deviation of split frequencies: 0.024455
46000 -- (-4008.140) (-4006.807) [-4005.881] (-4018.385) * (-4002.028) (-4011.104) (-4004.646) [-3999.197] -- 0:16:56
47000 -- (-4006.578) (-4016.206) (-4002.556) [-3993.827] * (-4009.198) (-4010.303) [-3998.524] (-4021.174) -- 0:16:53
48000 -- [-4004.581] (-3997.209) (-4028.163) (-4024.282) * (-4015.356) (-4024.804) [-3998.095] (-4008.515) -- 0:16:51
49000 -- (-4025.617) (-4009.370) (-4015.263) [-4004.278] * (-4028.729) [-4007.785] (-4001.787) (-3998.747) -- 0:16:49
50000 -- (-4012.044) (-4010.947) (-4007.785) [-4009.021] * (-4001.971) (-4004.801) [-3995.647] (-4007.079) -- 0:16:47
Average standard deviation of split frequencies: 0.022012
51000 -- (-4017.113) (-4036.476) (-4005.918) [-4004.785] * (-4019.613) (-4011.588) (-4003.582) [-4001.999] -- 0:16:44
52000 -- (-4017.216) (-4011.824) [-4004.148] (-4001.330) * (-4017.206) (-4022.961) (-4014.429) [-4008.661] -- 0:16:42
53000 -- (-4011.259) (-4029.900) [-4010.535] (-4002.405) * (-4021.282) [-4000.936] (-4018.082) (-4015.392) -- 0:16:40
54000 -- (-4001.915) [-4016.039] (-4007.802) (-4002.906) * [-4008.062] (-3992.946) (-4007.179) (-4002.682) -- 0:16:38
55000 -- (-4008.025) [-4005.497] (-4011.777) (-4002.660) * (-4018.493) (-4018.219) [-4002.461] (-4017.545) -- 0:16:36
Average standard deviation of split frequencies: 0.022596
56000 -- (-4005.329) (-4012.533) [-4008.347] (-4025.012) * (-4011.171) (-3999.942) (-4008.801) [-4002.019] -- 0:16:34
57000 -- (-4012.723) [-4009.593] (-4015.174) (-4018.817) * (-4023.920) (-4006.955) (-4013.100) [-4001.843] -- 0:16:32
58000 -- [-4002.760] (-4020.933) (-4019.496) (-4026.363) * (-4016.514) (-4022.618) [-4001.110] (-4004.823) -- 0:16:30
59000 -- [-3997.631] (-4016.525) (-4019.719) (-4010.452) * [-4006.220] (-4025.305) (-4003.441) (-4013.544) -- 0:16:28
60000 -- (-4018.142) [-3997.246] (-4024.123) (-4025.264) * (-4003.033) [-4010.422] (-4008.045) (-4008.148) -- 0:16:26
Average standard deviation of split frequencies: 0.021319
61000 -- [-3995.742] (-4000.007) (-3994.756) (-4008.501) * (-4008.426) [-4008.198] (-4005.396) (-4011.650) -- 0:16:25
62000 -- [-4004.770] (-4006.207) (-3998.711) (-4017.198) * [-3995.839] (-4026.619) (-4005.959) (-4005.474) -- 0:16:23
63000 -- (-3999.993) (-4023.690) (-4005.892) [-4017.127] * (-4004.384) (-4009.754) (-4009.350) [-4015.409] -- 0:16:21
64000 -- (-4014.513) (-4018.068) (-4002.298) [-3996.603] * [-4003.099] (-4017.042) (-4023.010) (-4012.072) -- 0:16:19
65000 -- (-4018.533) (-4009.729) (-3998.501) [-4008.609] * (-4022.628) (-4005.905) [-3999.329] (-4027.195) -- 0:16:32
Average standard deviation of split frequencies: 0.021606
66000 -- (-4003.988) (-3998.597) [-3991.600] (-4002.656) * [-4003.340] (-4017.216) (-4017.676) (-4013.002) -- 0:16:30
67000 -- (-4016.564) (-4011.821) (-4001.147) [-4003.950] * [-4007.963] (-4013.066) (-4036.377) (-4012.154) -- 0:16:28
68000 -- (-4013.832) [-3996.438] (-3995.925) (-4006.755) * (-4009.116) [-4011.907] (-4010.230) (-4016.180) -- 0:16:26
69000 -- (-4019.068) (-3995.547) [-3999.403] (-4013.848) * (-4013.724) (-4005.488) [-3991.923] (-3999.048) -- 0:16:24
70000 -- (-4006.398) (-4009.041) [-3990.937] (-4011.127) * (-4015.193) (-4009.126) [-3999.192] (-4017.649) -- 0:16:23
Average standard deviation of split frequencies: 0.018784
71000 -- (-4012.840) (-4008.172) [-4007.683] (-4007.187) * (-4017.487) (-4005.454) [-3998.290] (-4023.164) -- 0:16:21
72000 -- (-3999.514) (-4012.048) [-3999.473] (-4029.325) * [-4000.911] (-4004.346) (-4007.331) (-4016.856) -- 0:16:19
73000 -- (-4003.971) (-4015.664) [-3999.838] (-4026.972) * (-4008.485) (-4006.879) (-4009.009) [-4003.028] -- 0:16:17
74000 -- (-4011.167) [-4009.783] (-3998.108) (-4025.948) * (-4014.688) [-4000.372] (-4020.226) (-4016.984) -- 0:16:16
75000 -- [-4001.659] (-4009.134) (-4002.389) (-4009.284) * (-4008.009) (-4013.122) (-4016.294) [-4008.447] -- 0:16:14
Average standard deviation of split frequencies: 0.019111
76000 -- [-3999.931] (-4012.504) (-4011.215) (-4020.212) * (-4008.213) (-3992.487) [-4001.472] (-4006.912) -- 0:16:12
77000 -- (-4003.289) (-4010.762) (-4014.938) [-3997.434] * (-4006.810) [-3994.993] (-4009.520) (-4027.062) -- 0:16:10
78000 -- [-3991.588] (-4042.500) (-4005.923) (-4010.821) * (-4012.557) (-4010.928) [-4005.541] (-4008.705) -- 0:16:09
79000 -- (-4002.495) [-4001.805] (-4004.360) (-3997.669) * [-4022.412] (-4037.775) (-4003.690) (-4005.586) -- 0:16:07
80000 -- (-4009.588) (-4007.908) [-4002.181] (-4006.452) * (-4008.875) (-4024.820) (-4001.684) [-4006.728] -- 0:16:05
Average standard deviation of split frequencies: 0.018907
81000 -- (-4000.810) (-4008.918) [-4005.565] (-4016.139) * (-4014.611) [-4008.506] (-4007.014) (-4010.934) -- 0:16:04
82000 -- (-4011.422) (-4006.193) [-3995.007] (-4001.947) * (-4012.403) [-3998.342] (-4015.757) (-4009.079) -- 0:16:02
83000 -- (-4019.019) (-4014.217) [-3998.721] (-4003.906) * (-3997.049) [-4013.017] (-4006.151) (-4014.564) -- 0:16:12
84000 -- (-4004.124) (-4005.657) [-4003.463] (-4016.687) * (-4008.865) (-4006.559) [-4007.895] (-4019.593) -- 0:16:10
85000 -- (-4006.030) [-3998.615] (-4018.334) (-4014.617) * (-4004.450) (-4019.391) (-4000.649) [-4011.802] -- 0:16:08
Average standard deviation of split frequencies: 0.019255
86000 -- (-4011.805) [-4000.875] (-4014.040) (-4019.329) * (-4000.273) [-4012.106] (-4003.747) (-4014.431) -- 0:16:07
87000 -- (-4014.311) [-4006.892] (-4013.805) (-4012.099) * [-4010.568] (-3998.724) (-4012.366) (-4007.513) -- 0:16:05
88000 -- (-4003.290) (-4005.915) [-4011.358] (-4019.140) * (-4012.302) (-4000.566) [-3999.369] (-4007.975) -- 0:16:03
89000 -- [-4006.806] (-4016.049) (-4014.989) (-4012.598) * (-4004.103) [-4008.082] (-4006.062) (-4005.880) -- 0:16:02
90000 -- (-4013.372) (-4009.070) [-3996.357] (-4023.398) * (-4015.248) (-4007.660) [-4001.301] (-4005.597) -- 0:16:00
Average standard deviation of split frequencies: 0.017513
91000 -- (-4020.464) (-4002.442) [-3999.064] (-4022.957) * (-4010.567) (-4026.444) [-3997.098] (-4008.608) -- 0:15:58
92000 -- (-4006.441) (-4021.849) [-3999.736] (-3996.437) * (-4006.731) (-4008.959) [-3999.922] (-4014.746) -- 0:15:57
93000 -- (-4008.104) (-4040.819) [-3992.114] (-4012.020) * (-4004.443) (-4000.196) [-4003.783] (-4013.359) -- 0:15:55
94000 -- (-4010.084) (-4013.029) (-3999.765) [-4000.955] * (-4001.348) [-4005.247] (-4004.382) (-4022.701) -- 0:15:54
95000 -- (-4024.702) [-3999.771] (-4010.703) (-4019.775) * [-4009.169] (-4010.240) (-4026.740) (-4012.730) -- 0:15:52
Average standard deviation of split frequencies: 0.017620
96000 -- (-4003.314) [-3993.649] (-4004.434) (-4028.917) * (-4013.863) (-4024.879) [-4007.354] (-4008.147) -- 0:15:51
97000 -- (-4010.170) (-4009.126) [-3999.338] (-4018.034) * [-4011.111] (-4017.507) (-4011.220) (-4012.865) -- 0:15:49
98000 -- [-4006.287] (-4010.196) (-4005.026) (-4009.736) * [-4003.328] (-4014.008) (-4015.706) (-4010.512) -- 0:15:57
99000 -- (-4019.888) (-4012.597) (-4014.062) [-4005.572] * (-4008.955) [-4009.687] (-4022.757) (-4018.714) -- 0:15:55
100000 -- (-4010.297) [-4012.350] (-4032.014) (-4015.472) * (-4000.989) [-3998.960] (-4002.611) (-4013.265) -- 0:15:54
Average standard deviation of split frequencies: 0.015219
101000 -- [-4015.315] (-4027.661) (-4010.944) (-4000.095) * (-4013.725) (-4009.155) [-4006.407] (-4018.656) -- 0:15:52
102000 -- (-4010.026) (-4007.271) (-4026.848) [-4008.375] * (-4012.233) (-4012.995) [-3999.640] (-4001.313) -- 0:15:50
103000 -- (-4003.659) (-4000.235) (-4017.063) [-4000.185] * (-4009.247) (-3998.578) [-4004.777] (-4013.175) -- 0:15:49
104000 -- (-4030.137) (-4011.694) (-4013.420) [-3999.284] * (-4013.706) (-4010.818) (-4004.611) [-4001.987] -- 0:15:47
105000 -- (-4033.542) (-3997.197) [-4012.801] (-4010.296) * (-4016.240) [-4010.694] (-3998.297) (-4007.572) -- 0:15:46
Average standard deviation of split frequencies: 0.015248
106000 -- (-4012.534) (-4011.630) (-4002.226) [-4007.606] * (-4013.289) (-4001.331) [-4008.743] (-4011.681) -- 0:15:44
107000 -- [-4004.971] (-4003.062) (-4004.286) (-4017.147) * (-4002.819) (-4011.373) (-4004.158) [-4003.868] -- 0:15:43
108000 -- (-4016.322) (-4013.466) [-4001.868] (-4016.307) * (-3997.520) (-4008.572) (-4011.002) [-4005.477] -- 0:15:41
109000 -- (-4009.016) (-4011.881) [-3995.611] (-4010.070) * [-3990.181] (-4024.640) (-4014.603) (-3998.345) -- 0:15:40
110000 -- [-4010.987] (-4010.906) (-4015.188) (-4016.213) * (-3995.369) (-4007.009) (-4008.169) [-3999.860] -- 0:15:38
Average standard deviation of split frequencies: 0.015457
111000 -- [-3999.998] (-4011.315) (-4017.167) (-4014.039) * (-4008.232) [-4007.923] (-3998.522) (-4008.645) -- 0:15:37
112000 -- (-4004.132) (-4013.270) (-4002.296) [-4007.013] * (-3995.469) [-3999.499] (-4033.298) (-4007.322) -- 0:15:35
113000 -- [-4001.405] (-4019.878) (-4010.911) (-4017.646) * (-3998.388) (-4009.980) (-4027.993) [-3999.713] -- 0:15:34
114000 -- [-4011.940] (-4003.205) (-4006.377) (-4010.057) * (-4012.607) [-4008.714] (-4015.822) (-4013.285) -- 0:15:40
115000 -- (-4019.356) (-3997.693) [-3999.712] (-4010.434) * (-4006.481) (-3994.863) (-4021.946) [-4008.594] -- 0:15:38
Average standard deviation of split frequencies: 0.015270
116000 -- (-4017.091) [-3994.892] (-4015.986) (-4002.470) * (-4011.205) [-3995.245] (-4008.548) (-4010.902) -- 0:15:37
117000 -- (-4010.926) (-4001.998) (-4006.494) [-4003.810] * (-4005.142) [-3998.807] (-4023.550) (-4012.541) -- 0:15:35
118000 -- [-4009.897] (-4010.295) (-4010.234) (-4008.377) * [-3997.697] (-3999.760) (-4035.797) (-4014.073) -- 0:15:34
119000 -- (-4001.263) (-4015.792) [-4000.230] (-4000.805) * [-3995.891] (-3994.577) (-4004.024) (-4009.400) -- 0:15:32
120000 -- [-4005.001] (-4009.406) (-4007.617) (-4012.123) * (-3999.975) [-4004.328] (-4016.489) (-4014.854) -- 0:15:31
Average standard deviation of split frequencies: 0.014284
121000 -- [-3997.055] (-4011.045) (-4008.091) (-4014.150) * (-4004.246) (-4005.183) (-4022.936) [-4005.525] -- 0:15:29
122000 -- (-4006.125) (-4016.441) [-4008.188] (-4022.721) * (-4015.777) (-4009.245) (-4005.397) [-4006.894] -- 0:15:28
123000 -- (-4010.850) (-3992.925) [-3998.754] (-4007.071) * (-4013.570) (-4003.810) [-4012.589] (-4004.951) -- 0:15:26
124000 -- (-3999.114) [-4010.353] (-4014.658) (-4023.745) * [-4003.171] (-4004.328) (-4019.722) (-4013.764) -- 0:15:25
125000 -- [-4004.321] (-4020.441) (-4005.461) (-4006.787) * (-4006.233) (-4010.811) (-4039.214) [-4006.157] -- 0:15:24
Average standard deviation of split frequencies: 0.013645
126000 -- (-3994.181) (-4007.177) [-4004.232] (-4012.993) * [-4017.211] (-4007.323) (-4017.919) (-4018.037) -- 0:15:22
127000 -- (-4008.345) [-3993.815] (-4004.736) (-4007.322) * (-4013.110) (-4009.609) [-3991.841] (-4003.246) -- 0:15:21
128000 -- (-4011.060) [-4001.776] (-4007.768) (-4004.553) * (-3997.642) [-3997.815] (-4011.372) (-4008.927) -- 0:15:19
129000 -- (-3999.746) [-4004.891] (-4002.959) (-4015.290) * [-4002.050] (-4002.023) (-4015.093) (-4004.840) -- 0:15:18
130000 -- (-4035.574) (-4000.369) [-4002.967] (-4027.416) * [-3990.496] (-4006.120) (-4005.157) (-4011.750) -- 0:15:16
Average standard deviation of split frequencies: 0.013503
131000 -- (-4019.834) [-4004.249] (-4004.378) (-4016.634) * [-3990.769] (-4011.411) (-4031.669) (-4013.429) -- 0:15:22
132000 -- [-4007.497] (-4007.279) (-4015.809) (-3994.401) * (-3995.678) (-4013.280) [-4012.348] (-4011.287) -- 0:15:20
133000 -- (-4009.394) (-4004.444) (-4024.772) [-3997.737] * [-3997.692] (-4029.456) (-4011.589) (-4007.136) -- 0:15:19
134000 -- (-4002.850) (-4013.968) (-4011.668) [-3999.072] * (-4006.809) (-4003.964) [-3998.471] (-4030.751) -- 0:15:17
135000 -- [-3995.314] (-4012.494) (-4015.147) (-4011.165) * (-4010.760) (-4009.461) (-4015.180) [-4008.984] -- 0:15:16
Average standard deviation of split frequencies: 0.012782
136000 -- [-4005.048] (-4021.157) (-4001.068) (-4012.448) * (-4002.617) [-3996.639] (-4004.926) (-4004.068) -- 0:15:14
137000 -- (-4012.519) [-4005.665] (-4023.099) (-4005.342) * (-4005.912) (-4004.396) [-4012.714] (-4012.851) -- 0:15:13
138000 -- (-4017.480) (-4014.011) [-3996.332] (-4012.887) * (-4016.602) (-4002.400) (-3999.234) [-4000.453] -- 0:15:11
139000 -- (-4011.765) [-3994.753] (-3993.817) (-4012.029) * (-4007.146) (-4014.376) [-4001.338] (-4006.792) -- 0:15:10
140000 -- (-4002.572) [-4009.236] (-4010.357) (-4004.105) * (-4009.208) [-4001.041] (-4008.802) (-4008.631) -- 0:15:09
Average standard deviation of split frequencies: 0.012777
141000 -- (-4000.818) (-4006.387) (-3997.062) [-3999.851] * (-4007.216) [-3998.179] (-4001.697) (-4015.211) -- 0:15:07
142000 -- (-4013.393) [-4013.455] (-4008.113) (-4012.998) * (-4001.035) (-4022.815) (-4010.944) [-4002.793] -- 0:15:06
143000 -- [-3995.855] (-4006.089) (-4002.374) (-4003.665) * [-3991.789] (-4023.408) (-4019.704) (-4008.731) -- 0:15:04
144000 -- [-4001.910] (-4000.692) (-4003.942) (-4024.223) * [-4005.069] (-4019.418) (-4014.743) (-4008.048) -- 0:15:03
145000 -- [-4006.784] (-4001.716) (-4007.957) (-4033.379) * (-4006.044) (-4003.537) (-4026.483) [-4002.981] -- 0:15:02
Average standard deviation of split frequencies: 0.014576
146000 -- (-4005.969) [-3993.409] (-4019.503) (-4019.595) * (-4007.773) (-3999.953) (-4018.573) [-4000.041] -- 0:15:00
147000 -- [-4005.056] (-3999.641) (-4013.301) (-4007.769) * (-4018.613) (-4017.978) [-4001.139] (-4002.098) -- 0:15:05
148000 -- (-4015.988) (-4007.513) (-4016.265) [-4010.734] * (-4011.325) (-4024.657) [-3996.863] (-4013.150) -- 0:15:03
149000 -- (-4028.025) (-3998.225) (-4008.107) [-4000.317] * [-3998.907] (-4009.043) (-4009.483) (-3999.130) -- 0:15:02
150000 -- (-4020.636) (-4003.525) (-4013.734) [-4011.630] * (-4015.405) (-4007.996) [-4001.143] (-4005.634) -- 0:15:01
Average standard deviation of split frequencies: 0.015920
151000 -- (-4006.794) (-4003.234) (-4022.149) [-4004.531] * (-4015.866) [-4007.619] (-4004.652) (-3999.399) -- 0:14:59
152000 -- [-3993.934] (-4007.755) (-4016.431) (-4012.534) * (-4012.992) [-4001.165] (-4013.933) (-4013.985) -- 0:14:58
153000 -- (-4018.883) (-4001.697) [-3997.588] (-4005.984) * (-4019.581) (-3994.452) [-3996.860] (-4014.735) -- 0:14:56
154000 -- (-4009.392) (-4003.838) (-4001.643) [-3998.603] * (-3999.076) (-4008.227) (-4009.477) [-4011.895] -- 0:14:55
155000 -- (-4019.402) (-4011.563) [-4004.408] (-4013.142) * [-4000.788] (-4008.576) (-4018.283) (-3999.329) -- 0:14:54
Average standard deviation of split frequencies: 0.015697
156000 -- (-4009.510) [-4010.196] (-4015.890) (-4019.830) * [-3991.031] (-4014.093) (-4009.593) (-4007.147) -- 0:14:52
157000 -- (-4011.865) (-4025.580) (-4009.866) [-4004.541] * (-4016.258) (-3991.727) (-4002.664) [-3992.437] -- 0:14:51
158000 -- [-4008.719] (-4007.749) (-4010.745) (-4006.632) * (-4009.643) [-4001.755] (-4017.205) (-4001.572) -- 0:14:49
159000 -- (-4017.044) [-4005.130] (-4005.920) (-4002.304) * (-3996.792) (-3997.589) (-4015.620) [-4012.001] -- 0:14:48
160000 -- (-4011.950) (-4015.489) (-3997.353) [-3998.481] * (-4004.815) [-3996.954] (-4005.638) (-4017.729) -- 0:14:47
Average standard deviation of split frequencies: 0.016682
161000 -- (-4005.884) (-4001.672) (-4025.730) [-4005.735] * (-4009.625) (-4010.485) [-3994.338] (-4012.385) -- 0:14:45
162000 -- (-3995.405) [-4007.471] (-4018.095) (-4003.061) * (-4012.361) [-4009.252] (-4007.001) (-4009.826) -- 0:14:49
163000 -- (-4009.654) (-4005.248) [-3994.686] (-4018.101) * [-4001.235] (-4014.659) (-4016.192) (-4004.800) -- 0:14:48
164000 -- (-4002.988) [-3996.584] (-4018.336) (-4011.896) * (-4009.672) (-4014.807) (-4007.222) [-4004.158] -- 0:14:46
165000 -- (-4013.120) [-3999.980] (-4012.077) (-4009.349) * [-4019.299] (-4028.832) (-4012.556) (-4011.229) -- 0:14:45
Average standard deviation of split frequencies: 0.017196
166000 -- (-4010.496) (-4009.093) [-3994.148] (-4005.722) * (-4008.980) (-4020.201) [-4006.536] (-4013.093) -- 0:14:44
167000 -- (-4018.263) [-3997.258] (-4016.403) (-4003.965) * (-4013.598) [-4005.689] (-4026.577) (-4007.632) -- 0:14:42
168000 -- (-4010.004) [-3998.683] (-3999.729) (-4007.245) * (-4023.140) (-3996.425) [-4002.907] (-4001.284) -- 0:14:41
169000 -- (-4018.138) (-4018.296) (-3995.487) [-4001.969] * (-4033.490) [-4014.682] (-4019.768) (-4003.776) -- 0:14:40
170000 -- [-3994.047] (-4000.892) (-4002.429) (-4004.498) * (-4021.041) [-4002.907] (-4021.471) (-4000.700) -- 0:14:38
Average standard deviation of split frequencies: 0.016573
171000 -- (-4015.239) (-4004.165) [-4003.213] (-4006.680) * (-4008.846) [-4002.064] (-4011.527) (-4017.432) -- 0:14:37
172000 -- (-4021.690) [-3999.788] (-4024.503) (-4010.806) * (-4011.199) (-4011.791) (-4012.892) [-4012.095] -- 0:14:36
173000 -- (-4010.393) [-4007.804] (-4016.430) (-4006.452) * (-4036.054) [-4002.988] (-4022.850) (-3997.683) -- 0:14:34
174000 -- (-4003.896) [-4001.144] (-4020.926) (-4014.012) * (-4013.384) [-3997.143] (-4010.175) (-4002.920) -- 0:14:33
175000 -- (-3995.755) [-3997.454] (-4017.074) (-4003.952) * [-4001.114] (-4009.601) (-4026.148) (-4017.090) -- 0:14:32
Average standard deviation of split frequencies: 0.016147
176000 -- [-4005.123] (-4008.411) (-4027.102) (-4011.975) * (-4015.225) [-3999.171] (-4011.403) (-4005.260) -- 0:14:30
177000 -- (-4004.689) [-4013.476] (-4008.621) (-4013.415) * (-4012.746) (-4009.049) (-4004.365) [-4003.713] -- 0:14:34
178000 -- (-4027.542) [-3995.746] (-4013.052) (-4002.541) * (-4004.115) (-4012.505) (-4008.515) [-3994.324] -- 0:14:32
179000 -- (-4013.300) [-3996.641] (-4014.420) (-4007.483) * [-3998.499] (-4001.163) (-4011.547) (-4008.157) -- 0:14:31
180000 -- (-4011.868) [-4000.675] (-4009.243) (-4003.500) * (-3996.922) (-4009.873) [-4003.429] (-4004.536) -- 0:14:30
Average standard deviation of split frequencies: 0.015272
181000 -- (-4009.283) (-4000.915) (-4015.253) [-3999.869] * (-4012.571) (-4021.113) [-4007.022] (-4012.167) -- 0:14:28
182000 -- (-4012.429) (-4002.553) (-4011.708) [-3995.577] * (-4012.968) (-4021.864) [-3993.465] (-4027.702) -- 0:14:27
183000 -- [-4003.008] (-4008.205) (-4030.458) (-4011.473) * (-4013.771) [-4004.594] (-4002.012) (-4001.084) -- 0:14:26
184000 -- [-4009.546] (-4013.611) (-4006.240) (-4019.633) * (-4003.066) [-3999.577] (-4007.911) (-4013.113) -- 0:14:24
185000 -- [-4007.201] (-4022.446) (-4001.964) (-3997.719) * (-4012.834) (-4003.617) [-4002.306] (-4020.142) -- 0:14:23
Average standard deviation of split frequencies: 0.014727
186000 -- (-3999.123) (-4006.963) (-4006.056) [-4000.047] * (-4014.843) (-4018.191) (-4005.635) [-4004.414] -- 0:14:22
187000 -- (-4009.284) (-3997.218) (-4009.615) [-4006.748] * (-4021.534) (-3995.749) (-4011.955) [-4002.417] -- 0:14:20
188000 -- [-4001.091] (-4009.529) (-4003.595) (-4010.523) * (-4013.894) (-4015.369) [-4007.437] (-4001.082) -- 0:14:19
189000 -- (-4019.159) (-4014.671) (-4014.466) [-3997.541] * (-4015.974) (-4008.013) (-4011.736) [-4003.063] -- 0:14:18
190000 -- (-4026.588) (-4014.179) (-4018.341) [-4011.953] * (-4006.992) (-4010.432) (-4004.411) [-3994.286] -- 0:14:16
Average standard deviation of split frequencies: 0.014411
191000 -- (-4006.253) (-4021.154) [-4000.400] (-4009.991) * (-4022.130) [-4008.629] (-4028.388) (-3996.772) -- 0:14:15
192000 -- (-3998.953) [-4018.254] (-4006.121) (-4003.374) * (-4000.751) (-4011.963) (-4023.658) [-3996.445] -- 0:14:14
193000 -- (-4000.438) (-4031.611) [-3996.703] (-4008.050) * (-4007.802) [-4004.628] (-4036.128) (-4002.931) -- 0:14:12
194000 -- (-4007.277) (-4024.066) [-3998.987] (-4007.404) * (-4012.662) (-3996.465) (-4004.480) [-3997.027] -- 0:14:11
195000 -- (-4014.232) (-4019.447) (-3999.683) [-3995.416] * (-4016.798) (-4016.904) (-4002.481) [-4008.656] -- 0:14:10
Average standard deviation of split frequencies: 0.014106
196000 -- (-4011.824) (-4023.891) (-4022.388) [-4003.730] * (-4025.281) (-4006.971) [-4005.485] (-4012.872) -- 0:14:13
197000 -- (-4021.636) (-4019.823) (-4008.068) [-4001.073] * (-4006.589) (-4005.503) (-4010.988) [-4008.272] -- 0:14:11
198000 -- (-4024.788) (-4007.356) (-4002.734) [-4011.521] * (-4007.815) [-4002.857] (-4013.145) (-4016.896) -- 0:14:10
199000 -- [-3999.234] (-4009.899) (-4009.378) (-4012.236) * [-4010.414] (-4002.011) (-4000.878) (-4009.812) -- 0:14:09
200000 -- [-4001.682] (-4011.875) (-4019.888) (-4004.002) * (-4009.299) (-3996.862) (-4004.037) [-4000.789] -- 0:14:08
Average standard deviation of split frequencies: 0.012990
201000 -- (-4000.446) (-4004.863) (-4006.870) [-4002.815] * (-4012.787) (-4017.100) [-4008.243] (-4009.579) -- 0:14:06
202000 -- [-3993.808] (-4005.052) (-4009.624) (-4005.002) * (-4007.876) (-4017.355) [-3990.434] (-4018.430) -- 0:14:05
203000 -- (-3998.646) [-3998.803] (-3998.872) (-4013.677) * [-4002.866] (-4016.674) (-4013.349) (-3998.340) -- 0:14:04
204000 -- (-4006.123) [-3994.936] (-4007.336) (-4011.808) * [-3998.184] (-4017.602) (-4003.120) (-4018.158) -- 0:14:02
205000 -- [-4011.302] (-4014.486) (-4016.986) (-4011.493) * (-4009.474) (-4012.855) (-4003.650) [-4002.731] -- 0:14:01
Average standard deviation of split frequencies: 0.012713
206000 -- (-4027.962) (-4017.661) [-4003.079] (-4015.987) * (-4000.472) [-3999.963] (-4004.561) (-4003.345) -- 0:14:00
207000 -- (-4014.751) (-4021.587) [-4009.900] (-4003.675) * (-4005.331) [-3997.456] (-4017.120) (-4005.529) -- 0:13:58
208000 -- (-4014.144) (-4003.531) (-4001.660) [-4010.281] * [-4005.351] (-4012.452) (-4010.437) (-4009.412) -- 0:13:57
209000 -- (-3997.712) (-4007.558) (-4001.972) [-4000.449] * (-4005.208) [-4009.849] (-4011.779) (-4020.044) -- 0:13:56
210000 -- (-4000.615) (-4004.617) [-3994.956] (-4003.638) * [-4002.570] (-4002.055) (-3999.258) (-4025.652) -- 0:13:55
Average standard deviation of split frequencies: 0.011527
211000 -- (-4012.704) [-4007.400] (-4008.122) (-3996.074) * (-4025.213) (-4012.421) [-4000.940] (-4018.718) -- 0:13:53
212000 -- (-3998.648) (-4022.370) (-4013.113) [-4003.687] * [-4000.570] (-4016.295) (-4002.723) (-4009.475) -- 0:13:52
213000 -- (-4022.620) (-4022.747) (-3999.846) [-3998.888] * (-4016.250) (-4020.268) (-4014.517) [-4002.464] -- 0:13:51
214000 -- (-4012.872) (-4010.207) [-3992.744] (-4000.365) * (-4011.785) (-4003.041) (-4006.047) [-3996.000] -- 0:13:50
215000 -- [-4002.249] (-4011.169) (-4003.034) (-4009.933) * (-4034.875) (-3999.780) (-4007.685) [-4001.497] -- 0:13:48
Average standard deviation of split frequencies: 0.011723
216000 -- (-3997.382) (-4023.491) (-4005.961) [-3990.439] * (-4008.442) (-4006.835) [-4013.445] (-4010.829) -- 0:13:51
217000 -- (-3995.644) (-4006.600) [-4004.943] (-4002.789) * (-4005.201) (-4013.645) (-4017.506) [-4012.449] -- 0:13:49
218000 -- (-3995.684) [-4007.067] (-4001.912) (-4021.018) * (-4011.813) [-4004.234] (-4012.557) (-4001.386) -- 0:13:48
219000 -- (-4017.640) (-4021.233) (-4000.332) [-4013.715] * [-4002.260] (-4014.087) (-4038.431) (-3999.213) -- 0:13:47
220000 -- (-4006.054) (-4005.863) (-4010.874) [-4005.840] * (-4005.775) [-4010.530] (-4012.944) (-4007.089) -- 0:13:46
Average standard deviation of split frequencies: 0.011015
221000 -- (-3998.223) [-3998.312] (-4021.430) (-4031.184) * (-4006.251) [-3997.807] (-4013.131) (-4015.293) -- 0:13:44
222000 -- (-4035.619) (-4001.760) (-4014.323) [-3993.327] * (-4014.282) [-4009.763] (-4002.571) (-4017.403) -- 0:13:43
223000 -- (-4014.465) [-4001.451] (-3999.991) (-3997.180) * (-3999.972) (-4016.873) [-4013.215] (-4006.194) -- 0:13:42
224000 -- (-4020.864) (-4020.094) (-4010.397) [-3997.610] * [-4004.152] (-4007.743) (-4008.084) (-4002.760) -- 0:13:41
225000 -- [-4001.287] (-4024.724) (-4003.803) (-3997.893) * (-4016.791) (-4004.563) [-3996.612] (-4005.302) -- 0:13:39
Average standard deviation of split frequencies: 0.012208
226000 -- [-3999.730] (-4019.189) (-3998.727) (-4014.012) * (-4010.430) (-4005.992) [-3995.692] (-4021.788) -- 0:13:38
227000 -- (-4020.099) (-4020.602) [-4000.100] (-4008.279) * (-4026.913) (-4005.142) [-4006.982] (-3999.371) -- 0:13:37
228000 -- [-3997.876] (-4014.668) (-4017.440) (-4012.165) * (-4027.264) (-4019.059) (-4007.379) [-3995.253] -- 0:13:36
229000 -- [-3991.998] (-4028.399) (-4015.916) (-4020.126) * [-4012.917] (-4018.401) (-4011.894) (-4009.150) -- 0:13:34
230000 -- [-3999.912] (-4011.045) (-4020.566) (-4004.287) * (-4000.746) (-4000.734) (-4012.697) [-4003.396] -- 0:13:36
Average standard deviation of split frequencies: 0.011661
231000 -- (-3996.427) (-4007.680) (-4015.514) [-4003.345] * [-4004.420] (-4022.283) (-4005.294) (-4003.734) -- 0:13:35
232000 -- (-4004.289) [-4006.286] (-3999.389) (-4010.517) * (-3996.421) (-4023.751) [-4003.862] (-4019.641) -- 0:13:34
233000 -- (-4021.089) (-4008.319) [-4013.786] (-4019.551) * [-4010.105] (-4010.381) (-4013.360) (-4014.986) -- 0:13:33
234000 -- [-4006.031] (-4005.254) (-4023.455) (-4015.367) * [-3998.954] (-4004.836) (-4014.787) (-4020.416) -- 0:13:31
235000 -- [-4009.964] (-4012.303) (-4034.272) (-4017.932) * (-4007.681) [-4009.630] (-4020.076) (-4021.974) -- 0:13:30
Average standard deviation of split frequencies: 0.011137
236000 -- [-3999.121] (-4014.309) (-3996.201) (-4021.924) * [-3991.506] (-4026.537) (-4001.305) (-4002.855) -- 0:13:29
237000 -- [-4009.025] (-4009.819) (-4006.226) (-4010.511) * [-4003.265] (-4005.921) (-4023.371) (-4009.773) -- 0:13:28
238000 -- [-4004.960] (-4018.198) (-4019.790) (-4000.994) * [-4010.062] (-4009.881) (-4021.134) (-4013.069) -- 0:13:26
239000 -- (-4014.646) [-4014.569] (-4014.204) (-4002.994) * (-4030.058) [-4001.580] (-4018.064) (-4026.201) -- 0:13:25
240000 -- [-4011.194] (-4006.057) (-4015.271) (-4011.558) * (-3996.185) [-4008.040] (-4009.814) (-4025.151) -- 0:13:24
Average standard deviation of split frequencies: 0.009794
241000 -- (-4026.250) (-4005.814) [-3994.351] (-4006.678) * (-4011.107) [-4010.445] (-4006.908) (-4008.524) -- 0:13:23
242000 -- [-4003.006] (-4004.316) (-4001.753) (-4017.387) * [-4004.364] (-4009.895) (-4019.835) (-4017.467) -- 0:13:21
243000 -- (-4007.434) [-4000.103] (-4014.846) (-4017.354) * (-4013.152) (-4018.828) (-4015.170) [-3999.550] -- 0:13:23
244000 -- [-4017.789] (-4009.392) (-4032.565) (-4012.068) * [-3996.851] (-4009.562) (-4022.705) (-4011.391) -- 0:13:22
245000 -- (-4017.882) (-4005.651) (-4016.559) [-4000.788] * (-4001.414) (-4008.730) (-4002.728) [-4002.714] -- 0:13:21
Average standard deviation of split frequencies: 0.009581
246000 -- (-3998.924) [-4001.444] (-4015.988) (-4012.616) * [-3993.216] (-4012.206) (-4012.624) (-4020.311) -- 0:13:19
247000 -- (-4009.092) [-4012.869] (-4011.242) (-4011.803) * [-4003.663] (-4018.102) (-4017.545) (-4032.649) -- 0:13:18
248000 -- (-4011.675) [-4004.694] (-4034.767) (-4019.124) * [-4000.188] (-4012.086) (-4007.022) (-4011.084) -- 0:13:17
249000 -- (-4007.335) (-4004.403) (-4021.950) [-4007.034] * [-3992.249] (-4003.267) (-4000.587) (-4032.483) -- 0:13:16
250000 -- [-3998.135] (-4018.164) (-4005.793) (-4018.238) * [-3994.724] (-4021.029) (-4011.212) (-4011.966) -- 0:13:15
Average standard deviation of split frequencies: 0.008493
251000 -- [-3994.956] (-4009.664) (-4024.019) (-4005.885) * (-4008.930) (-4020.765) [-4010.501] (-4017.117) -- 0:13:13
252000 -- [-3995.030] (-4003.070) (-4022.414) (-3995.707) * [-4002.230] (-4013.251) (-4008.254) (-4019.871) -- 0:13:12
253000 -- [-4008.157] (-4010.181) (-4017.199) (-4013.032) * (-4003.114) [-4003.020] (-4026.784) (-4011.264) -- 0:13:11
254000 -- (-4009.462) [-4001.815] (-4006.402) (-4005.104) * (-4016.157) (-4010.175) [-4002.600] (-4019.138) -- 0:13:10
255000 -- (-4021.509) (-3992.915) (-4008.941) [-3997.438] * (-4017.731) (-4027.227) (-4018.616) [-4005.333] -- 0:13:08
Average standard deviation of split frequencies: 0.007810
256000 -- (-4033.791) (-4003.537) (-3994.275) [-4003.849] * (-4014.357) [-4012.195] (-4007.309) (-4011.849) -- 0:13:07
257000 -- [-4012.293] (-3989.544) (-4009.540) (-4008.655) * [-4011.137] (-4014.470) (-4007.659) (-4011.322) -- 0:13:06
258000 -- (-4013.487) (-4011.282) [-3999.257] (-4013.109) * (-4009.293) (-4014.075) [-4002.169] (-4009.833) -- 0:13:05
259000 -- (-3993.383) [-4006.600] (-4012.867) (-4015.933) * (-4010.354) (-4020.041) [-3997.844] (-4010.682) -- 0:13:03
260000 -- (-4009.109) (-3995.369) [-4005.103] (-4009.094) * [-4012.492] (-4016.226) (-3997.686) (-3999.185) -- 0:13:05
Average standard deviation of split frequencies: 0.007296
261000 -- (-4008.028) (-4013.571) (-4038.699) [-3997.139] * [-4007.769] (-4009.003) (-4004.234) (-4011.348) -- 0:13:04
262000 -- (-4015.070) (-4021.831) (-4034.650) [-3999.942] * [-3994.235] (-4007.766) (-4002.351) (-4005.715) -- 0:13:03
263000 -- [-4001.907] (-4012.451) (-4020.669) (-4016.283) * [-3996.368] (-4007.885) (-4000.870) (-4003.853) -- 0:13:01
264000 -- (-4019.356) [-4004.452] (-4012.188) (-4010.815) * [-4003.367] (-4019.103) (-4009.309) (-4020.199) -- 0:13:00
265000 -- (-4033.743) (-4006.818) (-4002.008) [-4000.428] * (-4012.101) [-4002.177] (-3994.253) (-4020.161) -- 0:12:59
Average standard deviation of split frequencies: 0.007944
266000 -- (-4020.100) [-4007.019] (-4012.780) (-4013.424) * (-4009.664) [-4000.843] (-4006.067) (-4010.859) -- 0:12:58
267000 -- (-4012.355) [-3996.797] (-4003.620) (-4017.754) * (-4010.700) (-3998.556) [-3999.501] (-4000.326) -- 0:12:56
268000 -- [-3990.443] (-4016.516) (-4011.392) (-4008.271) * (-4013.678) (-4004.212) [-3996.464] (-4016.863) -- 0:12:55
269000 -- [-4004.330] (-4022.606) (-4005.079) (-4008.059) * [-4005.795] (-4033.259) (-4007.630) (-4009.404) -- 0:12:54
270000 -- (-4011.111) [-4004.438] (-4011.292) (-4019.730) * (-4003.602) (-4021.600) [-3996.080] (-4014.258) -- 0:12:53
Average standard deviation of split frequencies: 0.008086
271000 -- [-4009.039] (-4010.469) (-3996.751) (-4028.177) * (-4007.962) (-4013.739) [-4007.845] (-4012.453) -- 0:12:52
272000 -- (-4008.744) (-4016.448) [-4002.352] (-4010.387) * (-4001.673) (-4024.650) (-4010.963) [-4003.872] -- 0:12:50
273000 -- (-3999.397) (-4027.027) [-4002.271] (-3993.485) * (-4008.211) [-4007.067] (-4006.058) (-4029.112) -- 0:12:49
274000 -- (-4000.508) (-4043.668) [-3993.029] (-4003.606) * (-4012.882) (-4007.762) [-4009.040] (-4007.113) -- 0:12:48
275000 -- [-4002.687] (-4005.939) (-4010.934) (-4010.112) * (-4020.086) (-4014.735) [-4001.210] (-3999.649) -- 0:12:47
Average standard deviation of split frequencies: 0.007869
276000 -- (-4013.406) [-3998.477] (-4023.571) (-4019.513) * (-4001.183) (-4011.350) [-4004.483] (-3992.411) -- 0:12:45
277000 -- (-3998.595) [-4006.549] (-4015.861) (-4010.947) * (-4020.124) (-4020.360) [-4012.209] (-3996.553) -- 0:12:44
278000 -- [-3994.750] (-3994.858) (-4018.575) (-4020.465) * (-3997.494) (-4011.193) [-4009.048] (-4014.870) -- 0:12:43
279000 -- (-4009.772) (-4015.957) (-4025.250) [-3994.293] * (-4004.676) (-4013.045) [-3992.801] (-4019.026) -- 0:12:42
280000 -- (-4006.979) (-4003.132) [-3997.398] (-4009.881) * (-4013.994) (-4004.311) [-3995.199] (-4013.258) -- 0:12:41
Average standard deviation of split frequencies: 0.007618
281000 -- (-4020.690) (-3998.952) [-4005.163] (-4004.310) * (-4024.188) (-4026.180) (-4016.315) [-3998.081] -- 0:12:39
282000 -- (-4000.088) [-3997.544] (-4009.079) (-4023.440) * [-4025.847] (-4028.543) (-4017.167) (-3992.315) -- 0:12:41
283000 -- [-3998.056] (-4003.884) (-4027.509) (-4035.483) * (-4014.720) (-4008.244) [-4009.528] (-3991.999) -- 0:12:40
284000 -- (-4002.104) (-4017.709) [-4003.395] (-4020.082) * (-3999.129) (-4029.689) [-4008.710] (-4008.173) -- 0:12:38
285000 -- [-4003.768] (-4031.313) (-4010.581) (-4012.038) * (-4021.458) [-4019.860] (-4011.851) (-4005.947) -- 0:12:37
Average standard deviation of split frequencies: 0.007299
286000 -- (-4004.686) (-4025.703) (-4009.458) [-3998.978] * [-4013.501] (-4007.080) (-4018.118) (-4002.179) -- 0:12:36
287000 -- [-4011.044] (-4009.637) (-4026.140) (-4002.589) * (-4023.480) (-4006.341) (-4001.339) [-4003.361] -- 0:12:35
288000 -- [-4004.326] (-4001.719) (-4006.703) (-4019.739) * (-4015.351) (-3999.919) [-4005.676] (-4005.448) -- 0:12:34
289000 -- [-4008.266] (-3997.537) (-4017.152) (-3999.843) * [-4003.928] (-4011.236) (-4005.903) (-4007.103) -- 0:12:32
290000 -- (-4012.162) [-3996.901] (-4005.905) (-4015.882) * (-4000.555) (-4018.333) (-4019.833) [-3996.727] -- 0:12:31
Average standard deviation of split frequencies: 0.007761
291000 -- (-4027.940) (-4023.794) [-3992.069] (-4007.746) * (-4008.196) (-4005.427) (-4010.997) [-4003.967] -- 0:12:30
292000 -- (-4003.429) (-3998.821) (-4025.724) [-4002.526] * [-3996.407] (-4012.878) (-3998.954) (-4004.043) -- 0:12:29
293000 -- (-4006.501) (-4019.759) (-4006.540) [-3992.900] * (-4011.498) (-4012.092) (-4013.144) [-4002.156] -- 0:12:28
294000 -- (-4009.218) [-4012.365] (-4022.522) (-3997.159) * (-4005.655) (-4006.817) (-4008.329) [-4002.818] -- 0:12:26
295000 -- [-3993.760] (-4007.598) (-4007.276) (-4013.625) * (-4013.627) (-4007.987) [-4004.591] (-4008.771) -- 0:12:25
Average standard deviation of split frequencies: 0.007394
296000 -- (-4004.447) (-4012.349) [-3999.654] (-4030.186) * (-4012.268) (-4001.706) [-4007.949] (-4017.245) -- 0:12:24
297000 -- [-3997.938] (-4018.213) (-4018.893) (-4003.198) * [-4009.981] (-4025.333) (-4022.000) (-4010.617) -- 0:12:23
298000 -- [-4000.677] (-4011.034) (-4016.939) (-4024.577) * (-4002.648) (-4012.640) (-4024.166) [-3996.231] -- 0:12:24
299000 -- (-4013.026) (-4014.023) [-4010.881] (-4015.087) * (-4001.555) (-4019.292) (-4029.517) [-4007.596] -- 0:12:23
300000 -- [-4007.516] (-4006.158) (-4018.837) (-4017.291) * (-4016.067) [-3999.219] (-4011.885) (-4018.573) -- 0:12:22
Average standard deviation of split frequencies: 0.006968
301000 -- (-4013.558) [-4000.303] (-4001.488) (-4035.780) * (-4008.468) [-3999.510] (-4019.308) (-4007.114) -- 0:12:20
302000 -- (-4006.214) [-3992.762] (-4018.673) (-3997.897) * [-3996.487] (-4015.888) (-4012.488) (-4008.290) -- 0:12:19
303000 -- (-4002.654) (-4002.658) (-4008.515) [-3994.033] * (-4007.395) [-3999.320] (-3990.262) (-4008.764) -- 0:12:18
304000 -- [-3994.274] (-3998.154) (-4010.250) (-4012.020) * (-4010.366) (-4012.106) (-4002.601) [-3996.965] -- 0:12:17
305000 -- (-4014.788) [-4007.949] (-4020.875) (-4005.380) * (-4024.278) (-4001.148) [-4004.499] (-4006.089) -- 0:12:16
Average standard deviation of split frequencies: 0.006959
306000 -- (-4007.676) (-4029.578) [-4000.493] (-3999.695) * (-4022.655) (-4011.830) (-4004.744) [-4009.950] -- 0:12:14
307000 -- (-4014.930) [-4005.934] (-3990.620) (-4007.761) * (-4009.350) (-4006.593) (-4002.493) [-4005.025] -- 0:12:13
308000 -- (-4007.388) (-4008.008) [-3993.415] (-4002.082) * (-4013.860) (-4020.214) (-4001.525) [-3995.271] -- 0:12:12
309000 -- [-4000.372] (-4017.442) (-4013.137) (-4009.897) * (-4017.903) (-4006.242) (-3996.101) [-4002.304] -- 0:12:11
310000 -- (-4009.999) (-4016.960) (-3999.312) [-4005.076] * (-4011.831) [-4012.545] (-4005.301) (-4006.227) -- 0:12:10
Average standard deviation of split frequencies: 0.006802
311000 -- (-4024.297) (-4003.342) (-4000.776) [-4007.328] * (-4013.269) (-4016.605) (-4013.829) [-3994.536] -- 0:12:08
312000 -- (-4030.034) (-4004.079) (-4006.938) [-4002.183] * (-4003.301) (-4001.117) (-4016.048) [-3997.816] -- 0:12:07
313000 -- (-4014.193) (-4014.328) [-4009.688] (-4003.365) * (-4007.836) (-4015.105) (-4017.184) [-3996.818] -- 0:12:08
314000 -- [-4001.353] (-4024.018) (-4002.271) (-4008.304) * (-4003.818) [-3993.154] (-4011.402) (-4002.734) -- 0:12:07
315000 -- (-4022.161) [-4020.313] (-4003.333) (-3995.704) * (-4014.182) (-4005.752) [-4006.487] (-4000.847) -- 0:12:06
Average standard deviation of split frequencies: 0.007033
316000 -- (-4023.162) (-4006.950) [-4005.462] (-4005.753) * [-3997.207] (-4001.118) (-4010.713) (-4011.290) -- 0:12:05
317000 -- (-4007.582) (-4005.759) [-3998.505] (-4020.017) * [-4007.670] (-3998.926) (-4031.197) (-4013.509) -- 0:12:03
318000 -- (-4022.938) (-4016.274) [-4007.428] (-4004.181) * (-4008.974) (-4024.539) [-4009.328] (-4010.974) -- 0:12:02
319000 -- (-4018.114) (-4002.881) (-4012.032) [-3995.362] * (-4012.135) (-4013.997) (-4011.013) [-4004.285] -- 0:12:01
320000 -- (-4016.362) [-3997.711] (-4043.741) (-4012.187) * (-4010.296) (-4019.345) (-3999.738) [-4001.927] -- 0:12:00
Average standard deviation of split frequencies: 0.006387
321000 -- [-3999.009] (-4013.879) (-4021.453) (-4006.781) * (-4003.308) [-4003.227] (-4008.393) (-3996.633) -- 0:11:59
322000 -- (-4015.063) [-3997.801] (-4008.742) (-4029.475) * (-3998.220) [-3995.542] (-4008.442) (-4003.145) -- 0:11:58
323000 -- (-4006.253) (-3999.768) (-4018.404) [-4003.428] * [-4002.916] (-3997.116) (-3998.260) (-4010.891) -- 0:11:56
324000 -- (-4007.528) (-4019.447) [-4008.671] (-4022.806) * [-4001.154] (-4015.610) (-4003.881) (-4012.646) -- 0:11:55
325000 -- (-4017.231) [-4008.680] (-4009.763) (-4011.621) * [-4010.668] (-4009.968) (-3997.111) (-4027.497) -- 0:11:54
Average standard deviation of split frequencies: 0.005884
326000 -- (-4016.432) (-4008.173) (-4019.080) [-3998.977] * (-4012.618) (-4015.649) [-4001.990] (-4000.169) -- 0:11:53
327000 -- (-4005.878) (-4013.852) (-4008.927) [-3997.843] * (-4016.209) [-3999.230] (-4001.803) (-3995.394) -- 0:11:52
328000 -- (-4023.065) (-3999.071) (-4010.864) [-4006.700] * (-4008.455) (-4000.996) [-3998.113] (-4002.852) -- 0:11:50
329000 -- (-4003.388) (-4008.293) (-4011.044) [-3994.269] * [-4002.187] (-4014.975) (-4004.210) (-4012.540) -- 0:11:51
330000 -- (-4002.568) (-4015.775) (-4019.134) [-4002.766] * (-3994.483) (-4015.049) [-4006.912] (-4009.204) -- 0:11:50
Average standard deviation of split frequencies: 0.006320
331000 -- (-3998.899) [-3995.288] (-4016.638) (-4003.899) * (-4006.678) (-4015.939) (-4014.479) [-4009.128] -- 0:11:49
332000 -- (-4013.470) (-4001.671) (-4014.347) [-4008.446] * [-4010.218] (-4019.540) (-4023.285) (-4003.400) -- 0:11:48
333000 -- (-3996.633) [-4003.986] (-4005.832) (-4007.081) * (-4009.322) (-4007.893) [-4004.817] (-4010.697) -- 0:11:47
334000 -- [-4005.122] (-3993.688) (-4014.289) (-4002.741) * (-4017.954) (-4024.402) (-3996.001) [-4000.780] -- 0:11:45
335000 -- [-4003.837] (-4010.063) (-4011.436) (-4022.588) * (-4009.392) (-4007.827) [-3992.686] (-4004.626) -- 0:11:44
Average standard deviation of split frequencies: 0.007257
336000 -- (-4007.501) (-4017.093) (-4014.884) [-3993.954] * [-3997.817] (-4000.246) (-4019.039) (-4012.374) -- 0:11:43
337000 -- (-4002.166) [-4007.180] (-4007.983) (-4004.363) * (-4007.091) (-4007.648) (-4008.184) [-3997.768] -- 0:11:42
338000 -- (-3999.365) (-4010.244) [-3999.117] (-4004.143) * (-4018.863) [-3994.806] (-4002.678) (-4002.803) -- 0:11:41
339000 -- (-4005.564) (-4005.891) [-4005.207] (-4010.202) * (-3998.052) (-4015.618) (-4013.121) [-4007.341] -- 0:11:39
340000 -- [-4006.579] (-4010.082) (-4022.560) (-4010.728) * (-4015.373) [-4009.581] (-4014.246) (-4015.371) -- 0:11:38
Average standard deviation of split frequencies: 0.007682
341000 -- [-4000.065] (-4021.773) (-4003.321) (-4010.471) * (-4038.335) (-4009.778) (-4007.977) [-4003.660] -- 0:11:37
342000 -- (-4022.007) (-4018.833) [-4001.202] (-4006.042) * (-4010.106) (-4014.451) (-4010.451) [-4007.738] -- 0:11:36
343000 -- (-4024.095) (-4010.100) (-4010.814) [-4005.515] * [-4002.930] (-4001.779) (-4020.056) (-4008.396) -- 0:11:35
344000 -- (-4013.955) (-4017.399) (-4004.206) [-4008.723] * (-4001.309) (-4002.782) [-4009.980] (-4009.333) -- 0:11:34
345000 -- [-4018.252] (-4002.622) (-4008.383) (-4014.832) * (-4012.582) (-4026.966) (-4009.036) [-4002.450] -- 0:11:32
Average standard deviation of split frequencies: 0.007611
346000 -- (-4011.064) (-4008.856) (-4021.323) [-3997.020] * (-4030.689) [-4000.318] (-4004.908) (-4007.483) -- 0:11:31
347000 -- (-4006.446) (-4004.278) (-4015.775) [-4007.051] * (-4021.840) (-4000.978) (-4013.424) [-3998.514] -- 0:11:30
348000 -- (-4002.748) (-4003.869) (-4013.723) [-3999.609] * (-4017.544) (-4013.449) (-4006.660) [-3992.088] -- 0:11:31
349000 -- (-4011.491) (-4016.534) (-4004.006) [-4005.293] * (-4024.266) (-4006.679) (-4005.445) [-4000.049] -- 0:11:30
350000 -- (-4009.880) (-4003.845) (-4009.892) [-3999.137] * (-4012.066) (-4000.329) (-4012.057) [-3993.769] -- 0:11:29
Average standard deviation of split frequencies: 0.007927
351000 -- (-4012.837) (-4018.279) [-4007.801] (-4007.137) * (-4016.336) [-3999.413] (-4004.423) (-4000.774) -- 0:11:27
352000 -- (-4013.381) (-4006.899) [-4001.822] (-4017.680) * (-4014.964) (-4004.703) (-4000.042) [-4004.776] -- 0:11:26
353000 -- (-4018.805) (-4018.640) (-3999.392) [-4010.767] * (-4007.781) [-3991.371] (-4000.353) (-4010.676) -- 0:11:25
354000 -- (-3996.306) (-4005.908) [-3993.922] (-4014.116) * (-4001.321) (-4019.833) [-4003.999] (-4003.139) -- 0:11:24
355000 -- (-4016.773) (-4015.479) (-4015.623) [-3997.160] * [-4006.828] (-4013.772) (-4010.479) (-4001.396) -- 0:11:23
Average standard deviation of split frequencies: 0.008219
356000 -- (-4017.361) (-4020.087) (-4012.087) [-3998.894] * (-4005.704) [-4002.706] (-4008.015) (-4006.668) -- 0:11:21
357000 -- (-4009.038) (-4018.995) [-4007.734] (-4008.737) * (-4007.662) (-4021.168) (-4016.846) [-4001.457] -- 0:11:20
358000 -- [-4010.758] (-4008.210) (-4009.041) (-4027.553) * [-4006.862] (-4019.127) (-4014.014) (-4001.698) -- 0:11:19
359000 -- (-4006.487) [-3996.282] (-4000.871) (-4010.997) * (-4002.331) (-4004.785) (-4007.463) [-3999.184] -- 0:11:18
360000 -- (-4010.608) (-4026.525) [-3999.818] (-4000.213) * [-3999.917] (-4005.810) (-4019.322) (-4004.821) -- 0:11:17
Average standard deviation of split frequencies: 0.007932
361000 -- (-4007.896) (-4013.099) (-4002.812) [-3999.493] * (-4010.297) (-4006.991) (-4000.048) [-4005.879] -- 0:11:16
362000 -- (-4015.742) (-4003.557) (-4000.087) [-3998.169] * (-4019.390) (-4006.132) (-4006.013) [-4000.196] -- 0:11:15
363000 -- (-4015.129) [-3996.886] (-4005.654) (-4025.150) * (-4002.211) (-3995.488) [-4000.924] (-4015.059) -- 0:11:13
364000 -- (-4002.736) [-3997.885] (-4011.797) (-4002.427) * (-4009.851) (-4002.172) (-3996.560) [-4010.891] -- 0:11:12
365000 -- (-4015.642) (-4004.277) (-4013.911) [-4003.287] * (-4012.506) (-4018.833) (-4004.139) [-4013.222] -- 0:11:13
Average standard deviation of split frequencies: 0.007639
366000 -- (-4007.819) [-4002.887] (-4009.615) (-4001.180) * (-4023.306) (-4004.151) (-4018.716) [-4010.452] -- 0:11:12
367000 -- (-3998.494) [-4001.703] (-4002.989) (-4008.886) * (-4024.878) (-4015.328) [-4008.823] (-4007.132) -- 0:11:10
368000 -- [-4007.137] (-4023.823) (-4013.200) (-4010.214) * (-4017.493) (-3997.898) (-4006.832) [-4002.081] -- 0:11:09
369000 -- (-4021.682) (-4018.602) (-4016.882) [-3996.229] * (-4008.632) [-3994.629] (-4009.986) (-4014.115) -- 0:11:08
370000 -- [-4002.705] (-4005.253) (-4009.688) (-4003.391) * (-4016.900) (-4006.102) [-3998.582] (-4023.829) -- 0:11:07
Average standard deviation of split frequencies: 0.007222
371000 -- [-4001.250] (-4003.379) (-4015.358) (-4006.070) * (-4016.798) [-3996.777] (-3997.688) (-4019.994) -- 0:11:06
372000 -- (-4013.403) (-4026.515) [-4010.710] (-4013.141) * (-3997.967) (-4004.985) [-3997.906] (-4010.116) -- 0:11:05
373000 -- [-3996.785] (-4006.060) (-4003.222) (-4021.440) * (-4014.344) (-4017.318) (-4024.510) [-4010.131] -- 0:11:03
374000 -- (-4013.154) (-4023.758) (-4016.944) [-4007.404] * (-4015.570) (-4020.509) (-4020.670) [-3995.754] -- 0:11:02
375000 -- (-4010.919) (-4018.708) [-4000.372] (-4006.635) * (-4012.069) (-4020.645) (-4002.807) [-3995.370] -- 0:11:01
Average standard deviation of split frequencies: 0.007479
376000 -- (-4011.437) (-4026.568) [-4009.646] (-4017.052) * (-4004.170) [-4014.034] (-4010.721) (-3999.832) -- 0:11:00
377000 -- (-4004.792) (-4017.116) [-4009.590] (-4002.953) * (-3997.263) (-4016.634) (-4016.823) [-3996.430] -- 0:10:59
378000 -- (-4008.064) [-4003.232] (-4014.470) (-4004.012) * (-4039.627) (-4009.879) (-4019.386) [-4003.625] -- 0:10:58
379000 -- (-4026.630) [-4000.460] (-4023.344) (-4011.564) * (-4032.059) (-4018.329) [-3996.497] (-4011.076) -- 0:10:58
380000 -- (-4013.545) [-4004.865] (-4009.052) (-4007.247) * (-4015.419) (-4008.971) [-4000.634] (-4004.950) -- 0:10:57
Average standard deviation of split frequencies: 0.006678
381000 -- (-4013.411) [-4001.157] (-4018.192) (-4013.149) * (-4018.971) [-4005.420] (-4004.723) (-4005.988) -- 0:10:56
382000 -- (-4017.571) (-4003.303) [-4005.315] (-4017.335) * (-4019.567) (-4010.168) (-4016.040) [-3998.209] -- 0:10:55
383000 -- [-4003.809] (-4007.061) (-4002.708) (-4017.841) * (-4036.578) (-4003.463) (-4007.903) [-3989.793] -- 0:10:54
384000 -- [-3995.410] (-4000.312) (-4006.593) (-4014.118) * (-4023.156) (-4009.284) [-4009.663] (-4010.050) -- 0:10:52
385000 -- (-4010.341) (-3994.933) (-4028.711) [-4001.247] * (-4006.587) [-4012.311] (-4013.045) (-4006.096) -- 0:10:51
Average standard deviation of split frequencies: 0.006761
386000 -- (-4016.123) [-3999.510] (-4015.790) (-4011.430) * (-4005.812) (-4011.262) [-4002.430] (-3999.274) -- 0:10:50
387000 -- [-3996.230] (-4000.857) (-4002.938) (-4040.461) * (-4021.969) (-4000.936) [-4003.409] (-3999.711) -- 0:10:49
388000 -- (-4013.444) (-4012.710) [-4002.429] (-4013.169) * (-4030.574) [-4004.384] (-4013.473) (-3999.286) -- 0:10:48
389000 -- (-4003.556) (-4005.470) [-4008.388] (-4010.627) * (-4024.625) [-3993.634] (-4004.423) (-4018.626) -- 0:10:47
390000 -- [-4003.083] (-4006.876) (-4006.629) (-3998.441) * (-4007.213) [-4001.330] (-4012.881) (-4015.313) -- 0:10:45
Average standard deviation of split frequencies: 0.006809
391000 -- (-4011.398) (-4018.392) (-4001.722) [-3996.193] * [-4003.230] (-4011.782) (-4010.219) (-4006.666) -- 0:10:44
392000 -- (-4017.634) (-4028.799) (-4014.968) [-4004.950] * (-4008.541) (-4011.826) [-3997.865] (-4010.184) -- 0:10:43
393000 -- (-4000.686) (-4046.542) (-4006.913) [-3994.716] * (-4007.593) (-4010.919) (-4016.436) [-4005.383] -- 0:10:42
394000 -- (-4004.540) (-4012.073) (-4013.234) [-4003.781] * (-4008.622) [-3999.352] (-4026.305) (-3998.884) -- 0:10:41
395000 -- (-4003.128) (-4005.751) (-4016.821) [-4026.974] * (-4015.897) (-4002.324) (-4002.501) [-3995.780] -- 0:10:41
Average standard deviation of split frequencies: 0.006717
396000 -- [-4004.521] (-4004.052) (-4026.077) (-4010.227) * (-4005.297) (-4008.901) (-3998.693) [-4006.027] -- 0:10:40
397000 -- (-4015.135) (-4015.688) (-4008.331) [-4005.542] * (-4015.281) (-4017.450) [-3992.233] (-4022.262) -- 0:10:39
398000 -- (-4020.769) (-4015.192) [-3998.198] (-4009.152) * [-4011.780] (-4022.553) (-4007.865) (-4015.330) -- 0:10:38
399000 -- (-4010.579) (-3995.667) (-4018.001) [-3997.328] * (-4035.704) (-4012.214) [-4003.754] (-4017.050) -- 0:10:37
400000 -- (-4015.568) [-3997.538] (-4022.575) (-4003.038) * (-4029.627) (-4021.420) (-4009.691) [-3999.311] -- 0:10:36
Average standard deviation of split frequencies: 0.007059
401000 -- (-4003.428) (-4003.386) (-4006.364) [-4000.871] * (-4017.635) [-4010.868] (-4015.993) (-4007.369) -- 0:10:34
402000 -- (-4009.010) (-4015.950) (-4008.640) [-4007.746] * (-4010.728) (-3997.735) (-4015.584) [-4001.409] -- 0:10:33
403000 -- (-4023.764) (-4004.781) (-3995.091) [-3999.575] * (-4008.643) (-3997.156) [-4003.990] (-4005.881) -- 0:10:32
404000 -- (-4018.997) (-4000.990) (-4008.788) [-4017.410] * (-3998.683) (-4015.282) (-4002.112) [-4003.450] -- 0:10:31
405000 -- (-4007.003) [-4007.528] (-4008.770) (-4015.025) * (-4007.566) [-4008.576] (-4011.333) (-4017.052) -- 0:10:30
Average standard deviation of split frequencies: 0.007340
406000 -- [-4004.755] (-4012.740) (-4004.325) (-4026.047) * (-4011.023) [-4004.456] (-4005.450) (-4005.919) -- 0:10:29
407000 -- (-3999.800) (-4035.182) (-4004.081) [-4004.856] * (-4014.737) (-4005.575) [-3998.157] (-4002.056) -- 0:10:27
408000 -- [-4004.141] (-4023.335) (-4014.162) (-4014.394) * (-4016.693) (-4025.778) (-4008.717) [-3993.190] -- 0:10:26
409000 -- (-4003.339) (-4034.382) [-4007.218] (-4011.297) * (-4005.687) [-4006.642] (-4014.685) (-4008.848) -- 0:10:25
410000 -- (-4015.862) (-4020.766) (-3996.101) [-4008.330] * (-4017.633) (-4015.168) [-4003.676] (-4016.617) -- 0:10:24
Average standard deviation of split frequencies: 0.007174
411000 -- [-4008.240] (-4011.382) (-4011.695) (-4012.932) * (-4001.685) (-4007.651) (-4013.632) [-4001.945] -- 0:10:23
412000 -- (-4010.284) [-3994.824] (-4017.831) (-4007.280) * [-3992.388] (-4001.733) (-4012.609) (-4006.737) -- 0:10:22
413000 -- (-4004.704) [-3999.127] (-4011.784) (-4011.421) * (-3998.185) [-4001.131] (-4012.558) (-4009.816) -- 0:10:22
414000 -- (-4005.173) (-4009.177) (-4016.052) [-4009.001] * (-4017.153) [-4012.010] (-4003.358) (-4025.621) -- 0:10:21
415000 -- [-4006.993] (-4000.422) (-4000.792) (-4016.161) * (-4014.555) (-4004.875) [-4014.480] (-4020.791) -- 0:10:20
Average standard deviation of split frequencies: 0.006718
416000 -- (-4019.011) [-3994.534] (-4003.753) (-3997.980) * (-4014.371) [-4002.229] (-4014.170) (-4022.733) -- 0:10:19
417000 -- (-4014.145) [-3998.155] (-4018.199) (-4007.618) * [-4000.683] (-4000.702) (-4007.149) (-4006.701) -- 0:10:17
418000 -- [-4009.661] (-4014.636) (-4008.538) (-4022.882) * [-4004.278] (-4000.620) (-4015.312) (-4024.996) -- 0:10:16
419000 -- (-4013.423) (-4009.031) [-3998.378] (-4020.221) * [-4005.043] (-4021.451) (-4006.272) (-4010.792) -- 0:10:15
420000 -- (-4020.126) (-4007.618) [-4001.553] (-3993.598) * [-3993.651] (-4017.653) (-4015.562) (-4007.647) -- 0:10:14
Average standard deviation of split frequencies: 0.006323
421000 -- (-4014.654) (-4006.833) (-3997.356) [-3997.429] * (-4010.533) [-4010.383] (-4015.985) (-4009.493) -- 0:10:13
422000 -- (-4011.435) (-4012.286) [-3994.802] (-4007.718) * (-4002.170) [-4003.423] (-4010.635) (-4008.153) -- 0:10:12
423000 -- [-4002.626] (-4003.188) (-4010.275) (-3998.813) * (-4004.589) [-4005.642] (-4013.655) (-4015.955) -- 0:10:11
424000 -- (-4000.156) [-3997.580] (-4017.297) (-4011.170) * (-4022.703) (-3991.525) [-4012.551] (-4009.076) -- 0:10:09
425000 -- (-4007.867) (-4013.305) [-4010.210] (-4014.906) * (-3995.106) (-4013.899) [-4005.976] (-4002.229) -- 0:10:08
Average standard deviation of split frequencies: 0.006792
426000 -- (-4004.448) (-4011.944) (-4021.918) [-4006.052] * [-3998.331] (-4017.094) (-4018.618) (-4005.029) -- 0:10:07
427000 -- (-4017.827) (-4005.289) [-4001.334] (-4029.052) * [-4008.577] (-4008.746) (-4028.116) (-4011.200) -- 0:10:06
428000 -- (-4005.571) (-4007.785) [-4001.596] (-4030.562) * (-4013.209) (-4019.102) (-4015.146) [-4002.191] -- 0:10:05
429000 -- (-4015.810) (-4000.261) [-4010.089] (-4022.574) * (-4012.706) [-4005.363] (-4001.065) (-4020.648) -- 0:10:04
430000 -- (-4018.082) (-4007.139) [-4003.942] (-4024.913) * (-4026.242) (-4012.207) [-4002.356] (-4019.472) -- 0:10:03
Average standard deviation of split frequencies: 0.005786
431000 -- [-4017.021] (-3994.117) (-4007.568) (-4009.183) * (-4016.331) (-4008.054) [-3999.756] (-4006.221) -- 0:10:02
432000 -- [-3998.319] (-4001.601) (-4006.815) (-4007.636) * [-3998.637] (-4021.585) (-4016.510) (-4022.741) -- 0:10:02
433000 -- [-4011.608] (-4008.630) (-4005.167) (-4008.015) * [-4004.425] (-4017.088) (-4018.413) (-4005.968) -- 0:10:01
434000 -- [-3998.828] (-3998.422) (-4011.857) (-4019.210) * (-4022.187) (-4007.466) (-4003.242) [-3996.396] -- 0:09:59
435000 -- (-4007.737) [-4002.989] (-4012.226) (-4028.882) * (-4008.764) (-4015.144) [-4000.003] (-4015.765) -- 0:09:58
Average standard deviation of split frequencies: 0.006024
436000 -- [-3998.094] (-3997.357) (-4001.893) (-4020.571) * (-4006.360) (-4002.053) [-3998.570] (-4005.713) -- 0:09:57
437000 -- (-4006.581) [-4012.083] (-4014.810) (-4021.345) * (-4008.609) (-4018.289) (-4003.034) [-3997.429] -- 0:09:56
438000 -- (-4024.813) [-4003.784] (-4005.692) (-4013.820) * (-4013.422) (-3999.254) (-4021.734) [-4006.628] -- 0:09:55
439000 -- (-4019.229) (-4016.531) (-4010.342) [-3996.564] * [-4000.186] (-4006.232) (-4010.930) (-4010.178) -- 0:09:54
440000 -- (-4014.300) (-4011.735) [-4014.546] (-4008.887) * [-4002.235] (-4017.950) (-4005.227) (-4007.683) -- 0:09:53
Average standard deviation of split frequencies: 0.006075
441000 -- (-4023.852) (-3994.887) (-4010.489) [-3999.761] * (-4002.551) (-4014.990) [-4003.663] (-4022.175) -- 0:09:51
442000 -- [-4010.055] (-4001.087) (-4016.169) (-4005.984) * (-4030.945) (-4005.278) (-3994.957) [-4002.720] -- 0:09:50
443000 -- [-4002.574] (-3992.348) (-4035.873) (-4006.033) * (-4021.700) [-4006.618] (-4009.339) (-4019.765) -- 0:09:49
444000 -- (-4007.688) [-4000.200] (-4028.455) (-4015.384) * (-4007.665) (-4013.906) [-4003.626] (-4010.865) -- 0:09:48
445000 -- [-3997.707] (-3997.078) (-4024.159) (-4020.300) * (-4004.365) (-4011.801) (-4006.623) [-4009.203] -- 0:09:47
Average standard deviation of split frequencies: 0.005813
446000 -- (-4013.612) (-4006.026) [-4003.965] (-3992.459) * (-4015.782) (-4013.248) (-4023.476) [-4002.522] -- 0:09:47
447000 -- (-4039.787) (-4012.042) (-4011.904) [-4005.503] * [-3999.315] (-4023.623) (-4007.267) (-4003.330) -- 0:09:46
448000 -- (-4012.821) (-4004.419) (-4010.120) [-4011.252] * [-3992.787] (-4003.980) (-4005.909) (-4021.196) -- 0:09:45
449000 -- [-4005.590] (-4021.828) (-4017.888) (-4015.362) * (-4000.753) [-4004.181] (-4012.308) (-4005.092) -- 0:09:44
450000 -- (-4017.209) [-4012.432] (-4007.846) (-4004.133) * [-3996.217] (-3998.762) (-4013.938) (-4015.046) -- 0:09:43
Average standard deviation of split frequencies: 0.006925
451000 -- (-4005.827) (-4018.057) [-4007.838] (-4011.613) * (-3999.656) [-3994.652] (-4004.160) (-4024.240) -- 0:09:41
452000 -- (-3993.736) (-4020.483) [-3995.028] (-4013.864) * (-4005.080) [-4004.516] (-4001.124) (-4014.826) -- 0:09:40
453000 -- (-4003.407) (-4006.925) [-4006.968] (-4025.257) * (-4018.267) (-4017.036) [-4000.724] (-4006.086) -- 0:09:39
454000 -- (-4015.026) (-4012.129) [-4002.716] (-4016.841) * (-3998.191) (-4001.880) (-3993.633) [-4002.223] -- 0:09:38
455000 -- (-4012.114) (-4011.659) [-3999.199] (-4026.348) * (-4018.376) [-4002.109] (-4008.699) (-4012.353) -- 0:09:37
Average standard deviation of split frequencies: 0.006793
456000 -- (-4016.498) [-4005.640] (-4001.543) (-4009.839) * (-4015.206) [-3997.729] (-4024.879) (-4012.096) -- 0:09:36
457000 -- (-4004.516) (-4002.688) (-4013.296) [-4011.017] * [-4003.296] (-4003.435) (-4013.279) (-4015.253) -- 0:09:35
458000 -- [-4007.604] (-3994.969) (-4010.199) (-4004.319) * (-4005.232) [-4002.635] (-4024.328) (-4003.970) -- 0:09:33
459000 -- [-3999.044] (-4011.835) (-4015.581) (-4004.703) * (-4011.847) [-4000.656] (-4002.122) (-4013.987) -- 0:09:32
460000 -- (-3997.834) (-4007.621) (-4014.714) [-4000.011] * (-4009.412) [-3994.233] (-4016.136) (-4000.979) -- 0:09:32
Average standard deviation of split frequencies: 0.006980
461000 -- (-4010.135) [-4005.686] (-4011.610) (-4003.447) * (-4003.378) (-4009.842) (-4009.476) [-4000.487] -- 0:09:31
462000 -- (-4013.226) (-4007.785) (-4016.357) [-4001.261] * (-4018.270) [-4005.577] (-4015.535) (-4031.439) -- 0:09:30
463000 -- [-4004.896] (-4010.931) (-4009.698) (-4014.209) * (-4010.243) [-4000.223] (-4010.402) (-4008.839) -- 0:09:29
464000 -- [-3988.937] (-4008.943) (-4021.251) (-4020.147) * [-4007.271] (-4010.937) (-4011.929) (-3997.553) -- 0:09:28
465000 -- [-4002.184] (-3995.704) (-4011.742) (-4011.688) * (-4003.522) [-4006.346] (-4007.764) (-4008.763) -- 0:09:27
Average standard deviation of split frequencies: 0.006648
466000 -- (-4008.258) [-4000.644] (-4012.908) (-3999.008) * (-4002.998) [-3992.491] (-4017.301) (-4004.919) -- 0:09:26
467000 -- [-3996.820] (-4010.259) (-4012.367) (-4008.130) * (-4016.228) (-3997.564) [-3997.495] (-4000.530) -- 0:09:24
468000 -- [-3989.341] (-4004.945) (-4012.463) (-4005.310) * (-4027.761) (-4016.258) [-4003.950] (-4004.086) -- 0:09:23
469000 -- (-4013.477) (-4002.560) (-4011.330) [-4008.587] * (-4023.473) (-4007.221) (-4011.188) [-3996.680] -- 0:09:22
470000 -- [-4011.659] (-4012.085) (-3999.815) (-4015.586) * (-4003.388) (-4009.196) (-4010.174) [-3998.755] -- 0:09:21
Average standard deviation of split frequencies: 0.006251
471000 -- [-3999.898] (-4005.290) (-4008.174) (-4021.984) * [-3998.301] (-4002.397) (-4007.818) (-4006.194) -- 0:09:20
472000 -- (-4015.243) [-4005.021] (-4009.597) (-4023.512) * [-4005.123] (-4013.628) (-4016.770) (-4005.064) -- 0:09:19
473000 -- (-4024.894) (-4012.664) [-4011.173] (-4000.993) * (-4023.166) (-4001.070) [-4014.358] (-4010.530) -- 0:09:18
474000 -- (-4012.816) (-4028.906) [-3998.196] (-3998.888) * (-4024.462) (-4022.571) [-4008.804] (-3995.496) -- 0:09:17
475000 -- (-4002.959) (-4015.169) (-4005.990) [-3997.652] * (-4028.493) (-4003.563) (-4024.396) [-4003.428] -- 0:09:15
Average standard deviation of split frequencies: 0.005376
476000 -- (-4007.320) [-4004.114] (-4013.375) (-4014.908) * (-4014.625) (-4015.637) (-4004.464) [-3997.769] -- 0:09:14
477000 -- [-4002.239] (-4007.271) (-4019.262) (-4005.865) * (-4009.049) (-3997.880) (-3998.482) [-4008.164] -- 0:09:13
478000 -- (-4003.732) (-4009.627) (-4013.791) [-3999.831] * [-4004.452] (-4002.603) (-4006.451) (-4017.781) -- 0:09:13
479000 -- (-4001.861) [-4000.704] (-4012.174) (-4004.160) * (-4011.243) [-4013.105] (-4014.325) (-4005.834) -- 0:09:12
480000 -- (-4013.793) (-4017.786) (-4000.331) [-3998.125] * (-4013.317) (-4001.661) (-4015.763) [-4021.835] -- 0:09:11
Average standard deviation of split frequencies: 0.005449
481000 -- (-4010.636) (-4009.267) (-4005.599) [-4007.841] * (-4019.835) (-4007.086) (-4011.039) [-3996.508] -- 0:09:10
482000 -- (-4004.893) (-4012.345) [-4000.400] (-4012.137) * (-4021.127) (-4002.408) (-4023.310) [-3991.004] -- 0:09:09
483000 -- (-4014.544) (-4013.345) (-4007.111) [-4001.180] * (-4035.188) (-4013.423) (-4005.416) [-3994.690] -- 0:09:08
484000 -- (-4010.871) [-3991.806] (-4003.198) (-4014.191) * [-3998.618] (-4003.338) (-4001.306) (-4023.517) -- 0:09:06
485000 -- (-4011.514) [-4002.457] (-4013.877) (-4016.189) * [-4007.234] (-4007.438) (-4010.564) (-4016.181) -- 0:09:05
Average standard deviation of split frequencies: 0.005920
486000 -- (-4007.851) [-3995.123] (-4012.692) (-4013.756) * [-4001.163] (-4011.688) (-4035.344) (-4009.231) -- 0:09:04
487000 -- (-4008.646) (-4024.354) [-4007.453] (-4006.064) * (-4009.071) (-4011.787) (-4009.483) [-4002.894] -- 0:09:03
488000 -- (-4006.003) (-4018.635) [-3999.530] (-4030.571) * [-3996.391] (-4013.328) (-4011.058) (-4017.686) -- 0:09:02
489000 -- [-4010.162] (-4024.051) (-4004.282) (-4013.342) * (-4006.490) (-4022.294) [-3992.384] (-4006.901) -- 0:09:01
490000 -- (-4005.446) (-4011.738) [-4001.153] (-4029.959) * [-4010.169] (-4012.532) (-4009.889) (-4013.471) -- 0:09:00
Average standard deviation of split frequencies: 0.005334
491000 -- (-4016.935) (-4011.786) [-3997.150] (-4011.046) * (-4007.243) [-3999.617] (-4011.424) (-4008.399) -- 0:08:59
492000 -- (-3999.740) (-4009.724) (-4000.398) [-4020.146] * (-4019.480) (-4011.228) (-4005.091) [-4006.817] -- 0:08:57
493000 -- [-4013.934] (-4030.883) (-3995.915) (-4004.636) * (-4033.646) (-4006.159) [-4003.501] (-4008.103) -- 0:08:56
494000 -- (-4003.284) (-4028.352) [-4004.841] (-4016.945) * [-3998.858] (-4007.782) (-4009.526) (-4010.876) -- 0:08:55
495000 -- [-4010.632] (-4013.558) (-4005.787) (-3996.951) * [-3999.591] (-4008.386) (-4006.855) (-4014.045) -- 0:08:54
Average standard deviation of split frequencies: 0.005342
496000 -- (-4011.555) (-3999.962) [-4010.111] (-4006.918) * (-4003.421) [-4012.263] (-4012.545) (-4023.638) -- 0:08:53
497000 -- (-4022.535) [-3988.123] (-4023.249) (-3997.235) * (-4005.762) (-4015.646) (-4000.964) [-4009.671] -- 0:08:52
498000 -- (-4024.424) [-4001.867] (-4015.524) (-3999.505) * [-4003.114] (-4021.723) (-4016.556) (-4026.975) -- 0:08:52
499000 -- (-4024.226) [-4003.139] (-4006.550) (-4003.571) * (-4008.757) (-4008.117) [-3998.610] (-4009.389) -- 0:08:51
500000 -- (-4010.064) [-4005.143] (-4002.837) (-4019.412) * [-3997.599] (-4015.270) (-4009.656) (-4005.436) -- 0:08:50
Average standard deviation of split frequencies: 0.005877
501000 -- (-4008.260) (-4020.818) [-3998.261] (-4006.678) * [-3999.665] (-4006.353) (-4007.571) (-4026.565) -- 0:08:48
502000 -- (-4010.252) [-4006.249] (-4001.598) (-4016.725) * (-4008.490) [-4008.044] (-4016.639) (-4005.766) -- 0:08:47
503000 -- [-3998.117] (-4006.340) (-4003.894) (-4012.782) * (-3999.775) (-4026.219) (-4015.288) [-4001.758] -- 0:08:46
504000 -- (-4012.043) (-4009.402) [-3994.883] (-4011.361) * [-4001.860] (-4015.179) (-4025.967) (-3998.414) -- 0:08:45
505000 -- (-4027.504) (-4014.823) (-3996.583) [-4005.674] * [-3989.829] (-4001.048) (-4000.408) (-4017.388) -- 0:08:44
Average standard deviation of split frequencies: 0.005750
506000 -- (-4008.980) (-3996.460) (-4007.258) [-4002.571] * (-4011.923) (-4013.419) [-3992.906] (-4013.057) -- 0:08:43
507000 -- (-4004.578) [-4004.415] (-4010.869) (-4004.688) * (-4002.313) (-4016.833) (-4004.934) [-4008.265] -- 0:08:42
508000 -- [-4005.730] (-4015.340) (-4010.484) (-3998.547) * (-4010.623) (-3996.197) (-3998.197) [-4002.090] -- 0:08:41
509000 -- (-4019.648) [-4002.410] (-4009.574) (-3998.416) * [-4011.728] (-4016.843) (-4011.949) (-4004.279) -- 0:08:39
510000 -- (-4024.464) [-3996.131] (-4006.690) (-4008.194) * [-4001.525] (-4009.765) (-4002.638) (-4016.454) -- 0:08:38
Average standard deviation of split frequencies: 0.006016
511000 -- (-4008.959) [-4006.654] (-4001.836) (-4011.125) * (-4006.469) (-4010.880) (-4004.058) [-4008.518] -- 0:08:37
512000 -- (-4016.154) [-3998.007] (-4001.893) (-4006.954) * (-4015.034) [-4008.136] (-4007.234) (-3996.737) -- 0:08:36
513000 -- (-4002.955) (-4012.397) [-4009.044] (-4023.058) * (-4015.887) (-4006.592) (-4007.862) [-4000.635] -- 0:08:36
514000 -- [-3991.854] (-3998.211) (-4008.983) (-4018.054) * (-4017.252) [-3995.225] (-4002.177) (-4002.523) -- 0:08:35
515000 -- [-4008.604] (-4013.341) (-4011.520) (-4016.517) * [-4003.354] (-4009.338) (-4005.488) (-4018.933) -- 0:08:34
Average standard deviation of split frequencies: 0.006395
516000 -- [-4001.897] (-4005.212) (-4007.062) (-4014.436) * [-4000.004] (-4017.977) (-3992.206) (-4019.384) -- 0:08:33
517000 -- [-4011.009] (-4013.280) (-4011.448) (-4027.335) * [-4012.046] (-4007.098) (-4010.562) (-4010.249) -- 0:08:31
518000 -- [-4004.385] (-4018.588) (-4001.059) (-4017.217) * (-4016.449) (-4016.809) [-4003.697] (-4005.110) -- 0:08:30
519000 -- [-4008.868] (-4016.604) (-4019.675) (-4003.726) * (-4007.007) (-4020.590) (-4021.178) [-3998.124] -- 0:08:29
520000 -- (-4011.469) (-4006.019) [-4005.328] (-4007.439) * (-4005.667) [-4002.398] (-4007.272) (-4006.199) -- 0:08:28
Average standard deviation of split frequencies: 0.005820
521000 -- (-4006.573) (-3997.145) [-3997.642] (-4009.300) * [-4002.449] (-4008.855) (-4021.293) (-4006.402) -- 0:08:27
522000 -- (-4014.694) (-4014.516) (-4012.980) [-4000.417] * (-4006.943) [-3993.868] (-4016.486) (-4009.119) -- 0:08:26
523000 -- (-4003.457) [-3999.025] (-4007.679) (-4001.560) * [-4002.628] (-4001.784) (-4005.732) (-4029.140) -- 0:08:25
524000 -- (-4014.689) (-3998.796) (-4012.880) [-4004.037] * (-4004.575) [-3994.858] (-4012.727) (-4016.336) -- 0:08:24
525000 -- (-4021.023) (-4013.344) [-4002.242] (-4014.496) * (-4031.067) (-4000.402) (-4001.412) [-4008.746] -- 0:08:23
Average standard deviation of split frequencies: 0.006209
526000 -- (-4013.483) [-4003.623] (-4006.667) (-4003.118) * (-4022.847) (-4005.469) [-3998.840] (-4013.374) -- 0:08:21
527000 -- [-4016.176] (-4010.146) (-4001.197) (-4016.478) * (-4006.625) [-4013.044] (-4011.522) (-4005.159) -- 0:08:20
528000 -- [-4008.178] (-4019.066) (-4019.976) (-3999.705) * (-4012.253) (-4015.844) [-4006.380] (-4011.843) -- 0:08:20
529000 -- (-4004.680) (-4004.972) (-4028.951) [-4014.570] * (-4032.201) (-4013.246) [-4004.566] (-3999.614) -- 0:08:19
530000 -- (-4024.941) (-4006.631) [-4001.903] (-4020.808) * (-4008.311) (-4000.101) [-4008.300] (-4009.403) -- 0:08:18
Average standard deviation of split frequencies: 0.005901
531000 -- (-4021.193) (-4026.149) [-4015.459] (-3998.545) * (-4004.926) [-4001.557] (-4014.418) (-3996.195) -- 0:08:17
532000 -- (-4008.990) (-4011.845) [-4006.238] (-4004.429) * [-4000.346] (-4034.311) (-4014.553) (-4003.034) -- 0:08:16
533000 -- (-4025.312) [-3998.528] (-3996.362) (-4005.333) * (-4011.087) [-4006.309] (-4024.302) (-4004.388) -- 0:08:15
534000 -- (-4016.794) (-4007.086) [-4008.970] (-4013.520) * [-4009.748] (-4026.267) (-4010.634) (-4015.442) -- 0:08:13
535000 -- (-4011.465) (-4007.973) [-4011.749] (-4029.411) * (-4004.701) (-4004.186) [-4008.261] (-4026.843) -- 0:08:12
Average standard deviation of split frequencies: 0.005371
536000 -- (-4003.511) [-4012.225] (-4011.628) (-4007.089) * [-3995.707] (-3999.862) (-4004.705) (-4037.102) -- 0:08:11
537000 -- (-4001.704) (-4023.543) (-3991.381) [-3991.885] * (-3998.326) (-4003.758) [-4007.413] (-4027.565) -- 0:08:10
538000 -- (-4018.258) (-4016.207) (-4004.980) [-3997.882] * (-4000.634) [-4008.382] (-4013.470) (-4001.465) -- 0:08:09
539000 -- (-4004.412) (-4031.298) (-4012.820) [-4004.020] * (-4005.430) [-4011.872] (-4011.985) (-4017.177) -- 0:08:08
540000 -- (-4008.489) (-4025.911) [-4014.298] (-4012.905) * (-4000.343) (-4017.397) (-4001.565) [-3999.770] -- 0:08:07
Average standard deviation of split frequencies: 0.004733
541000 -- (-4005.720) (-4024.351) (-4004.044) [-4010.346] * (-4005.205) [-4013.347] (-4015.100) (-4005.835) -- 0:08:06
542000 -- (-4011.688) (-4018.463) [-4003.315] (-4020.064) * (-4003.416) (-4005.707) (-4003.514) [-3997.107] -- 0:08:05
543000 -- (-4017.938) (-4010.608) [-4004.084] (-4008.518) * [-4003.991] (-4012.163) (-4009.871) (-4008.828) -- 0:08:03
544000 -- [-4009.933] (-4007.908) (-4011.085) (-4010.615) * (-4007.157) (-4018.618) [-4001.108] (-4017.847) -- 0:08:03
545000 -- (-3999.184) (-4012.657) (-4021.668) [-4014.301] * (-4004.143) (-4002.756) [-4006.741] (-4023.002) -- 0:08:02
Average standard deviation of split frequencies: 0.004687
546000 -- (-4021.977) [-4007.783] (-3998.996) (-4006.934) * [-4012.140] (-4015.454) (-3993.227) (-4015.841) -- 0:08:01
547000 -- (-4003.073) (-3997.718) [-4008.030] (-4024.569) * (-4010.633) (-4013.557) (-4000.586) [-4007.111] -- 0:08:00
548000 -- (-4008.873) [-3996.828] (-4009.153) (-4009.670) * (-3998.133) (-4019.151) [-4002.401] (-4017.463) -- 0:07:59
549000 -- (-4021.653) (-3997.763) [-3993.406] (-4017.363) * (-4005.057) (-4025.215) [-3998.676] (-4004.928) -- 0:07:58
550000 -- (-4006.481) (-4011.941) (-4015.737) [-4017.070] * (-3995.774) (-4022.696) (-4010.927) [-3993.307] -- 0:07:57
Average standard deviation of split frequencies: 0.004892
551000 -- (-4011.439) (-4005.688) [-4001.477] (-4007.916) * (-4016.223) (-4020.997) [-4012.872] (-4012.370) -- 0:07:55
552000 -- (-4005.597) (-4012.493) (-4014.429) [-4001.798] * (-4009.380) [-4008.083] (-3999.727) (-4007.040) -- 0:07:54
553000 -- (-4012.030) (-4010.061) (-4006.745) [-3994.762] * (-4027.077) (-4007.778) [-4000.101] (-4005.956) -- 0:07:53
554000 -- (-4012.517) (-4016.261) (-4001.831) [-3992.815] * (-4008.399) (-4016.110) [-4002.034] (-3995.252) -- 0:07:52
555000 -- (-4007.483) [-4006.201] (-4015.704) (-3992.590) * (-4017.859) (-4019.449) (-4010.486) [-4000.893] -- 0:07:51
Average standard deviation of split frequencies: 0.004815
556000 -- (-3998.098) (-4022.486) (-4015.347) [-4002.951] * (-4005.527) (-3998.834) (-4015.576) [-4001.991] -- 0:07:50
557000 -- (-3989.429) (-4016.830) (-4029.239) [-3994.696] * [-3994.898] (-4010.770) (-4018.881) (-4009.827) -- 0:07:49
558000 -- (-4008.863) (-4014.075) (-4010.078) [-3993.350] * (-4001.573) (-4012.841) (-3995.708) [-4002.349] -- 0:07:48
559000 -- [-4015.504] (-4026.355) (-4011.018) (-4003.126) * (-4016.753) (-4014.337) (-4003.816) [-3999.794] -- 0:07:47
560000 -- (-4007.749) [-4006.549] (-4012.604) (-4013.926) * [-4007.136] (-4023.046) (-4008.593) (-4001.640) -- 0:07:45
Average standard deviation of split frequencies: 0.005045
561000 -- [-4008.025] (-4017.915) (-4021.365) (-4015.229) * [-4007.180] (-4016.589) (-4014.551) (-4001.381) -- 0:07:44
562000 -- (-4003.944) [-4002.750] (-4004.745) (-4029.013) * (-4006.583) (-3999.200) (-4024.234) [-4005.870] -- 0:07:43
563000 -- (-4011.876) (-4001.900) [-4002.685] (-3998.279) * [-4013.955] (-4014.853) (-4004.736) (-4015.019) -- 0:07:42
564000 -- (-4004.485) [-3993.939] (-4006.452) (-4016.043) * (-4010.283) (-4009.187) (-4004.918) [-3993.146] -- 0:07:41
565000 -- [-4009.108] (-4006.732) (-4016.773) (-4005.596) * (-4003.954) (-4001.452) (-4007.089) [-3999.605] -- 0:07:41
Average standard deviation of split frequencies: 0.004730
566000 -- [-4003.963] (-3997.865) (-4009.437) (-4003.594) * (-4001.874) [-3999.173] (-4003.053) (-4014.606) -- 0:07:40
567000 -- (-4006.885) (-4009.435) (-4017.790) [-4001.020] * (-4004.810) (-3999.085) (-4002.430) [-4008.507] -- 0:07:38
568000 -- (-4020.735) [-4003.825] (-4014.607) (-4017.984) * [-3997.775] (-4019.157) (-4014.403) (-3998.107) -- 0:07:37
569000 -- [-4023.331] (-4018.401) (-4005.900) (-4008.649) * [-3998.763] (-4019.672) (-4008.965) (-4005.236) -- 0:07:36
570000 -- (-3999.336) (-4008.942) [-4009.602] (-4023.039) * [-4007.940] (-4000.239) (-4010.929) (-4013.548) -- 0:07:35
Average standard deviation of split frequencies: 0.004927
571000 -- (-4024.875) (-4005.669) [-3998.686] (-3998.565) * (-4006.953) (-3997.418) [-3998.602] (-4011.894) -- 0:07:34
572000 -- [-3995.807] (-4000.233) (-4050.289) (-4001.841) * (-4037.033) [-4000.507] (-4008.214) (-4015.732) -- 0:07:33
573000 -- (-3996.760) [-4006.313] (-4019.647) (-4003.519) * (-4015.802) (-4001.404) [-4002.322] (-4003.729) -- 0:07:32
574000 -- (-3999.952) [-4002.344] (-4012.070) (-4010.733) * (-4017.584) [-4002.812] (-4014.914) (-3999.802) -- 0:07:31
575000 -- [-4016.526] (-4007.716) (-4005.922) (-4025.428) * [-4005.176] (-4013.854) (-4005.524) (-4007.385) -- 0:07:30
Average standard deviation of split frequencies: 0.004794
576000 -- (-4021.318) (-4002.253) [-3996.820] (-4022.769) * (-4006.080) (-4006.537) [-4010.956] (-4011.513) -- 0:07:29
577000 -- (-4001.854) [-3996.052] (-4007.349) (-4005.883) * [-3996.430] (-4024.260) (-4012.497) (-4007.556) -- 0:07:27
578000 -- [-4003.809] (-3998.649) (-4002.093) (-4023.124) * (-4001.859) (-4027.676) [-4017.993] (-4010.624) -- 0:07:26
579000 -- [-3997.246] (-4006.753) (-4003.029) (-4010.102) * (-4021.507) (-4015.946) [-3989.432] (-4009.388) -- 0:07:25
580000 -- (-4002.507) [-4004.786] (-4011.798) (-4002.766) * (-3993.335) [-4002.837] (-4018.327) (-3999.191) -- 0:07:24
Average standard deviation of split frequencies: 0.004871
581000 -- (-4006.219) [-4003.280] (-4017.769) (-4016.862) * (-4015.020) (-4006.774) [-4003.604] (-4004.785) -- 0:07:24
582000 -- (-4011.546) (-4017.500) (-4021.392) [-4003.128] * (-4013.588) (-4009.252) (-4004.937) [-3991.518] -- 0:07:23
583000 -- (-3997.918) (-4009.577) [-4004.294] (-4005.526) * (-4010.679) [-4002.957] (-4012.823) (-4002.972) -- 0:07:22
584000 -- (-4001.408) (-3997.063) (-4010.316) [-3997.725] * [-4004.903] (-4008.820) (-3995.916) (-4014.074) -- 0:07:20
585000 -- [-4007.314] (-4014.861) (-4020.509) (-4003.812) * (-4006.819) (-4002.748) [-4005.065] (-4017.542) -- 0:07:19
Average standard deviation of split frequencies: 0.004740
586000 -- (-4011.008) [-4014.416] (-4018.502) (-4015.831) * [-4001.000] (-4009.592) (-4005.234) (-4027.482) -- 0:07:18
587000 -- [-4009.037] (-4010.637) (-4007.650) (-4028.590) * (-4010.808) [-4002.900] (-4007.948) (-4005.472) -- 0:07:17
588000 -- (-4016.666) (-4010.302) (-4001.679) [-4004.128] * (-4031.734) (-4011.512) (-4010.094) [-4004.794] -- 0:07:16
589000 -- (-4004.295) (-4012.001) (-4014.454) [-3998.867] * (-4019.140) (-4020.243) [-3998.803] (-3998.554) -- 0:07:15
590000 -- [-4002.528] (-4023.315) (-4007.996) (-4000.173) * (-4012.855) (-4021.208) [-3991.790] (-4009.461) -- 0:07:14
Average standard deviation of split frequencies: 0.004561
591000 -- (-4028.354) (-4015.584) (-4016.318) [-4010.062] * (-4020.444) [-3998.692] (-4008.609) (-4009.571) -- 0:07:13
592000 -- (-4020.781) [-4018.092] (-4018.657) (-4011.388) * (-4032.516) (-4001.873) (-4011.781) [-4003.061] -- 0:07:12
593000 -- [-4014.792] (-4024.779) (-4016.718) (-4027.255) * (-4021.578) [-4008.172] (-3998.493) (-4013.415) -- 0:07:11
594000 -- (-4018.159) (-4004.810) [-4008.069] (-4012.522) * [-4001.461] (-4010.431) (-3997.883) (-4010.136) -- 0:07:09
595000 -- (-4005.307) (-4017.058) (-3997.033) [-4010.726] * (-4005.409) (-4021.470) (-4007.070) [-4005.078] -- 0:07:08
Average standard deviation of split frequencies: 0.004350
596000 -- (-4021.957) (-4014.208) (-4014.971) [-4011.882] * [-3996.898] (-4017.497) (-4000.958) (-4013.340) -- 0:07:08
597000 -- (-4014.526) (-4019.872) (-4018.798) [-4004.883] * [-3996.988] (-4011.870) (-4004.834) (-4000.749) -- 0:07:07
598000 -- [-4001.884] (-4012.372) (-4014.229) (-4017.750) * (-4013.572) (-4003.192) (-4011.190) [-3995.313] -- 0:07:06
599000 -- [-4015.239] (-4002.483) (-4003.961) (-4014.294) * (-4018.107) [-4009.076] (-4015.160) (-4004.882) -- 0:07:05
600000 -- (-4017.479) (-4002.046) [-4000.356] (-4012.046) * (-4019.089) (-4004.951) (-4011.881) [-4003.670] -- 0:07:04
Average standard deviation of split frequencies: 0.004597
601000 -- (-4009.136) (-4010.592) [-4003.995] (-4020.945) * (-4002.096) (-3996.075) (-4017.773) [-3995.306] -- 0:07:02
602000 -- (-4018.560) [-4009.026] (-4001.361) (-4001.650) * (-4019.869) (-4007.055) (-4013.289) [-4012.828] -- 0:07:01
603000 -- (-4004.544) (-4009.407) [-3997.057] (-4017.634) * (-4001.354) [-4008.347] (-4004.359) (-4016.082) -- 0:07:00
604000 -- (-3998.277) (-4010.549) [-3995.109] (-4018.811) * [-4001.445] (-4016.443) (-4003.012) (-4010.032) -- 0:06:59
605000 -- (-4013.022) (-4017.061) (-4018.229) [-4012.792] * [-4013.585] (-4019.839) (-4000.858) (-4009.627) -- 0:06:58
Average standard deviation of split frequencies: 0.005223
606000 -- (-4008.300) (-4009.779) [-4006.819] (-4012.110) * [-4001.475] (-3999.688) (-4017.061) (-4005.214) -- 0:06:57
607000 -- (-4028.499) (-4008.704) [-4001.657] (-4011.767) * (-4012.347) [-4005.870] (-4004.587) (-4002.238) -- 0:06:56
608000 -- (-4022.451) (-4008.120) [-4003.501] (-4012.737) * (-4005.089) (-4006.348) [-4001.667] (-4013.718) -- 0:06:55
609000 -- (-4023.138) (-4012.344) [-4005.166] (-4006.356) * (-4011.938) [-4000.114] (-4003.822) (-4010.055) -- 0:06:54
610000 -- (-4013.300) (-4009.188) [-4003.695] (-4000.513) * (-4034.048) [-4000.386] (-4017.110) (-4018.036) -- 0:06:53
Average standard deviation of split frequencies: 0.005293
611000 -- (-4010.207) (-4007.311) (-4013.689) [-3995.213] * (-4027.617) [-4000.657] (-4003.157) (-4005.740) -- 0:06:52
612000 -- (-4016.700) [-4000.707] (-4031.800) (-4005.879) * (-4025.777) [-4005.220] (-4007.091) (-4016.535) -- 0:06:51
613000 -- (-4004.206) [-3996.156] (-4016.584) (-4014.481) * (-4014.973) (-4004.778) [-4011.628] (-4013.037) -- 0:06:50
614000 -- [-4003.604] (-4008.498) (-4011.311) (-4026.923) * [-4007.671] (-4014.413) (-4010.660) (-4029.507) -- 0:06:49
615000 -- (-4013.246) (-4005.287) [-4001.925] (-4012.108) * (-4014.950) (-4030.386) [-4016.374] (-4018.220) -- 0:06:48
Average standard deviation of split frequencies: 0.005521
616000 -- (-4003.614) [-3996.003] (-4004.117) (-4023.582) * [-4000.456] (-4020.986) (-4005.948) (-4033.353) -- 0:06:47
617000 -- (-4009.556) (-4010.506) (-4009.383) [-4008.284] * (-3999.363) (-4020.913) [-3998.552] (-4005.697) -- 0:06:45
618000 -- (-4012.060) (-4004.345) (-4003.566) [-4014.310] * (-4015.405) [-4001.295] (-4001.995) (-4004.307) -- 0:06:44
619000 -- (-4007.854) (-4018.732) [-4011.613] (-4008.840) * [-4002.153] (-4013.707) (-4000.016) (-4012.992) -- 0:06:43
620000 -- (-4016.684) [-3997.150] (-4004.608) (-4010.814) * [-4001.266] (-4011.350) (-4012.191) (-4001.447) -- 0:06:42
Average standard deviation of split frequencies: 0.005479
621000 -- [-4003.360] (-4012.053) (-4000.664) (-4007.883) * (-4023.832) (-4006.421) (-4005.497) [-4016.013] -- 0:06:41
622000 -- (-4012.570) [-3991.629] (-4015.045) (-3995.857) * (-4024.698) (-4021.255) (-4006.098) [-4006.545] -- 0:06:40
623000 -- (-4006.443) [-3997.663] (-4025.127) (-4023.821) * (-4017.866) (-4010.678) (-4007.038) [-4014.172] -- 0:06:39
624000 -- (-4010.899) (-4003.471) [-4004.459] (-4019.422) * (-4018.422) (-4013.274) [-4002.659] (-4023.092) -- 0:06:38
625000 -- [-3997.609] (-4004.915) (-4015.469) (-4003.156) * (-4016.709) (-4014.500) (-4004.705) [-4006.848] -- 0:06:37
Average standard deviation of split frequencies: 0.005298
626000 -- (-4004.874) (-4000.400) (-4016.076) [-3996.200] * (-4016.952) [-3998.523] (-4011.743) (-4029.163) -- 0:06:36
627000 -- [-3995.749] (-4004.035) (-4019.203) (-4012.678) * (-4018.860) (-4013.705) (-4016.065) [-4008.527] -- 0:06:35
628000 -- [-3997.829] (-4006.248) (-4011.055) (-4026.970) * (-4010.173) [-4002.505] (-4008.668) (-3999.571) -- 0:06:33
629000 -- [-4003.838] (-4004.658) (-4005.681) (-4017.861) * (-4017.520) (-4009.922) [-4001.614] (-4008.988) -- 0:06:32
630000 -- [-4008.854] (-4007.859) (-4006.020) (-4018.039) * (-4017.466) [-4004.652] (-4001.395) (-4000.291) -- 0:06:32
Average standard deviation of split frequencies: 0.005553
631000 -- (-4006.280) (-4011.734) [-3996.984] (-4022.268) * (-4006.786) (-4014.942) [-3997.596] (-4012.270) -- 0:06:31
632000 -- (-4017.174) (-4004.098) [-3999.938] (-4022.129) * (-4009.138) (-4022.002) (-4018.015) [-4001.309] -- 0:06:30
633000 -- (-4013.285) [-3996.483] (-4008.716) (-4036.055) * [-3999.039] (-4017.285) (-4011.874) (-4010.006) -- 0:06:29
634000 -- (-4012.321) (-3997.492) [-3997.657] (-4031.862) * (-4003.023) [-4000.359] (-4015.999) (-4006.257) -- 0:06:27
635000 -- [-4007.341] (-4010.456) (-4007.766) (-4018.832) * (-4006.242) (-4009.906) (-4012.848) [-3995.716] -- 0:06:26
Average standard deviation of split frequencies: 0.005030
636000 -- [-4003.760] (-4019.107) (-4006.520) (-4017.324) * (-4018.113) (-4006.096) (-4021.046) [-3997.292] -- 0:06:25
637000 -- (-4005.654) (-4012.302) [-3999.272] (-4014.763) * (-4019.212) (-4021.766) (-4008.193) [-4005.257] -- 0:06:24
638000 -- (-4014.581) (-4021.339) [-4009.740] (-4013.482) * [-3996.597] (-4004.216) (-4001.170) (-4009.004) -- 0:06:23
639000 -- (-4015.438) (-4009.467) [-3996.084] (-4002.778) * (-4003.514) (-4013.057) [-4002.530] (-4011.398) -- 0:06:22
640000 -- (-4017.890) (-4017.907) [-3996.067] (-4003.143) * (-4008.659) (-4012.024) [-3994.010] (-4015.513) -- 0:06:21
Average standard deviation of split frequencies: 0.005440
641000 -- (-4006.359) (-4014.565) [-4006.011] (-4004.058) * (-4010.490) [-3998.506] (-4009.657) (-4016.052) -- 0:06:20
642000 -- (-4010.023) (-4009.185) (-4012.942) [-4003.186] * [-4003.075] (-4016.930) (-4010.680) (-4033.363) -- 0:06:19
643000 -- (-4015.402) (-4019.029) [-4016.375] (-4015.169) * [-3998.934] (-4000.210) (-3994.100) (-4016.959) -- 0:06:18
644000 -- (-4007.346) (-4009.776) (-4004.038) [-4002.105] * (-4007.999) (-4014.011) (-4023.584) [-3999.065] -- 0:06:17
645000 -- (-4007.146) (-4008.640) (-4006.331) [-4007.208] * (-4005.676) (-4009.870) [-4000.006] (-4007.257) -- 0:06:16
Average standard deviation of split frequencies: 0.005421
646000 -- (-4001.129) (-4012.142) [-4005.465] (-4007.861) * [-4002.205] (-4018.768) (-4012.416) (-4011.024) -- 0:06:15
647000 -- (-4007.965) [-3999.373] (-4003.454) (-4008.602) * (-3995.661) (-4029.916) [-4001.985] (-4037.157) -- 0:06:14
648000 -- (-4024.369) [-4010.130] (-4000.897) (-4004.327) * [-3995.838] (-4020.712) (-4001.641) (-4024.647) -- 0:06:13
649000 -- (-4010.747) (-4022.908) [-3998.258] (-4016.785) * (-4024.542) [-4015.370] (-3994.497) (-4015.907) -- 0:06:12
650000 -- (-4009.380) [-4004.544] (-3990.917) (-4018.674) * (-4013.125) (-4011.899) [-4008.180] (-4026.881) -- 0:06:11
Average standard deviation of split frequencies: 0.005434
651000 -- (-4008.465) (-4020.496) [-4004.400] (-4017.257) * (-4009.519) [-4000.180] (-4006.522) (-4005.205) -- 0:06:09
652000 -- (-4001.329) (-4010.398) [-4005.317] (-4016.044) * [-4007.018] (-4016.544) (-4007.257) (-4010.591) -- 0:06:08
653000 -- (-4025.781) (-4001.472) [-4009.656] (-4028.569) * (-4005.173) (-4021.012) [-4005.149] (-4010.057) -- 0:06:07
654000 -- (-4013.526) [-3997.566] (-4020.069) (-4017.095) * (-3998.765) (-4036.106) [-4000.547] (-4011.712) -- 0:06:06
655000 -- (-4009.116) [-4007.761] (-3997.714) (-4008.404) * (-4007.675) (-4009.097) [-3999.648] (-4009.105) -- 0:06:05
Average standard deviation of split frequencies: 0.005261
656000 -- [-4008.478] (-3997.488) (-4000.502) (-4011.961) * (-4007.418) (-4002.265) (-4016.350) [-3998.088] -- 0:06:04
657000 -- (-3995.721) (-4001.823) (-3996.442) [-3997.827] * (-4003.692) (-3995.776) (-4004.529) [-3997.379] -- 0:06:03
658000 -- (-4009.473) (-4011.684) (-4015.000) [-3997.238] * (-4012.319) [-3993.246] (-3994.070) (-4004.310) -- 0:06:02
659000 -- (-4013.577) [-4000.621] (-4026.015) (-4007.599) * (-4012.084) [-4003.005] (-4012.783) (-4011.688) -- 0:06:01
660000 -- (-4016.391) [-4002.183] (-4003.942) (-4014.012) * [-4008.470] (-4010.045) (-4010.557) (-4011.858) -- 0:06:00
Average standard deviation of split frequencies: 0.004598
661000 -- (-4010.960) (-4018.495) (-4017.694) [-4004.790] * [-3996.939] (-4014.988) (-4006.895) (-4005.023) -- 0:05:59
662000 -- (-4013.936) (-4021.864) (-4007.206) [-4004.453] * (-4007.512) (-4006.938) [-4006.036] (-4016.964) -- 0:05:58
663000 -- [-4018.117] (-4017.425) (-4011.359) (-4019.048) * (-4010.066) [-4002.149] (-4021.926) (-3998.110) -- 0:05:57
664000 -- (-4022.042) (-4025.760) [-4000.134] (-4022.664) * (-4024.869) [-4011.131] (-4008.684) (-3992.978) -- 0:05:56
665000 -- (-4022.117) [-3999.133] (-4021.094) (-4013.047) * (-4012.470) (-4013.594) (-3997.216) [-3999.004] -- 0:05:55
Average standard deviation of split frequencies: 0.005258
666000 -- [-4010.746] (-4003.971) (-4005.648) (-4012.293) * (-3996.838) (-4020.971) [-3995.801] (-3998.717) -- 0:05:54
667000 -- (-4009.715) [-4017.705] (-4027.582) (-4008.605) * (-4001.901) (-4026.143) (-4014.284) [-3994.957] -- 0:05:52
668000 -- (-4011.723) (-4015.621) (-4006.586) [-4007.126] * (-4000.522) (-4011.869) (-4007.245) [-4006.659] -- 0:05:51
669000 -- (-4013.326) (-4021.934) (-4003.256) [-4002.425] * (-4021.458) (-4029.008) [-3995.005] (-4004.697) -- 0:05:50
670000 -- [-3997.678] (-4015.465) (-4013.096) (-4021.222) * [-4006.347] (-4016.591) (-4012.748) (-4004.385) -- 0:05:49
Average standard deviation of split frequencies: 0.005181
671000 -- (-4015.763) (-4014.335) [-3996.841] (-4023.938) * (-4024.710) (-4011.500) (-4011.546) [-3995.530] -- 0:05:48
672000 -- [-4009.856] (-4005.879) (-4004.848) (-4021.192) * (-4014.422) (-4019.314) (-4015.571) [-4014.046] -- 0:05:47
673000 -- (-3999.491) (-4012.453) [-3998.821] (-4015.115) * (-4012.051) [-4001.195] (-4017.150) (-4019.744) -- 0:05:46
674000 -- (-4008.324) (-4023.253) [-3994.975] (-4009.782) * (-4017.573) (-4002.266) (-4002.960) [-4004.041] -- 0:05:45
675000 -- (-4020.176) [-3996.616] (-4000.434) (-4013.746) * (-4014.116) (-4007.541) [-3995.829] (-4010.953) -- 0:05:44
Average standard deviation of split frequencies: 0.005579
676000 -- [-4005.431] (-4009.445) (-4002.198) (-4002.912) * [-4005.133] (-4005.280) (-4018.931) (-4014.392) -- 0:05:43
677000 -- (-4022.600) (-4006.239) (-4004.356) [-4000.155] * (-4023.635) (-4012.964) [-4012.192] (-4017.428) -- 0:05:42
678000 -- (-3995.878) (-4005.052) [-4008.516] (-4013.159) * (-4004.082) (-4026.349) [-3991.020] (-4011.811) -- 0:05:41
679000 -- [-3994.307] (-4002.861) (-4008.020) (-4020.091) * (-4016.669) (-4018.142) [-3994.278] (-4018.121) -- 0:05:40
680000 -- (-4010.644) (-4015.380) (-4012.303) [-4006.117] * (-4012.555) (-3991.876) (-4012.227) [-4009.072] -- 0:05:39
Average standard deviation of split frequencies: 0.005788
681000 -- (-4003.305) (-4023.082) (-4009.039) [-3992.669] * (-4014.174) [-4003.680] (-4010.630) (-4013.352) -- 0:05:38
682000 -- [-4006.374] (-4024.183) (-4010.374) (-4001.405) * (-4016.717) [-4002.715] (-4017.775) (-4012.370) -- 0:05:37
683000 -- (-4006.949) (-4002.969) (-4004.299) [-4007.472] * (-4006.025) [-4000.885] (-4004.196) (-4017.866) -- 0:05:36
684000 -- (-4005.183) [-4005.097] (-4007.093) (-4016.429) * (-4007.271) (-4023.671) [-3994.729] (-4016.084) -- 0:05:34
685000 -- (-4006.363) [-4019.270] (-4004.674) (-4009.245) * (-4004.378) (-4025.211) (-4021.444) [-4014.932] -- 0:05:33
Average standard deviation of split frequencies: 0.005350
686000 -- [-4002.150] (-4019.821) (-4011.751) (-4011.822) * (-4022.964) [-3995.426] (-4001.150) (-4001.141) -- 0:05:32
687000 -- [-4006.580] (-4022.625) (-4006.860) (-4014.373) * (-4019.794) [-3992.237] (-4014.816) (-3984.378) -- 0:05:31
688000 -- (-4019.084) (-4024.787) (-4001.576) [-4004.227] * (-4007.708) (-3997.466) (-4020.766) [-4002.442] -- 0:05:30
689000 -- (-4001.635) (-4009.386) [-4003.644] (-4033.107) * (-4024.703) [-3999.455] (-4005.841) (-4016.717) -- 0:05:29
690000 -- (-4007.405) (-4010.761) [-3995.180] (-4023.857) * (-4024.030) [-4011.796] (-4001.925) (-4008.811) -- 0:05:28
Average standard deviation of split frequencies: 0.005005
691000 -- (-3999.668) (-4007.371) [-4012.283] (-4018.875) * [-4013.075] (-4007.589) (-4013.588) (-4013.548) -- 0:05:27
692000 -- (-4015.864) (-4012.640) [-4001.660] (-4017.118) * (-4005.294) (-4009.655) [-3994.461] (-4019.859) -- 0:05:26
693000 -- (-4026.136) (-4017.579) [-4004.647] (-4020.284) * [-4009.582] (-4028.737) (-4007.855) (-4009.764) -- 0:05:25
694000 -- (-4029.606) [-3995.193] (-4026.340) (-4007.726) * (-4019.772) (-4020.992) [-3997.210] (-4009.662) -- 0:05:24
695000 -- (-4024.242) (-4002.353) [-3997.874] (-4019.433) * (-4018.347) [-4009.679] (-4002.011) (-4019.817) -- 0:05:23
Average standard deviation of split frequencies: 0.004666
696000 -- (-4001.374) (-4009.183) [-4000.624] (-4005.230) * (-4000.384) [-4004.328] (-4013.799) (-4024.296) -- 0:05:22
697000 -- (-3996.305) (-4001.955) [-4009.368] (-4012.762) * [-3996.494] (-4010.141) (-4009.761) (-4004.117) -- 0:05:21
698000 -- (-3998.758) (-4015.572) (-4009.138) [-4004.112] * (-3993.268) [-3998.509] (-4001.994) (-4024.191) -- 0:05:20
699000 -- [-3993.302] (-3997.527) (-4003.744) (-4000.332) * [-4000.065] (-4016.521) (-4027.477) (-4015.436) -- 0:05:19
700000 -- (-4016.076) (-4011.281) (-4003.545) [-3997.365] * [-3997.884] (-4009.329) (-4017.280) (-4002.767) -- 0:05:18
Average standard deviation of split frequencies: 0.004635
701000 -- (-4010.209) (-4020.477) (-4010.964) [-4001.200] * [-4006.903] (-4010.428) (-4023.782) (-4002.962) -- 0:05:16
702000 -- (-4015.391) (-4019.013) [-4000.281] (-4014.879) * [-3998.772] (-4006.841) (-4016.290) (-4007.396) -- 0:05:15
703000 -- (-4014.714) (-4038.073) (-4005.555) [-4003.230] * (-4002.321) (-4003.781) [-4011.060] (-4029.359) -- 0:05:14
704000 -- (-3996.754) (-4015.742) (-4016.624) [-4001.188] * (-4020.434) (-4010.677) [-4004.393] (-4014.089) -- 0:05:13
705000 -- [-4005.814] (-4010.883) (-4000.067) (-3998.942) * (-4012.426) [-4001.905] (-4014.246) (-4019.751) -- 0:05:12
Average standard deviation of split frequencies: 0.004550
706000 -- (-4010.317) (-4008.766) (-3996.911) [-3998.780] * [-4005.648] (-4019.257) (-4025.484) (-4010.710) -- 0:05:11
707000 -- (-4023.416) (-4006.255) [-3996.098] (-3991.813) * [-4015.681] (-4011.719) (-4019.808) (-3999.304) -- 0:05:10
708000 -- (-4016.190) (-4010.922) (-4003.227) [-3997.825] * (-4009.688) [-4000.944] (-4016.143) (-4007.949) -- 0:05:09
709000 -- (-3999.354) (-4011.320) (-4001.781) [-3998.487] * (-4005.324) [-4000.215] (-4020.670) (-4017.943) -- 0:05:08
710000 -- [-4012.270] (-3995.861) (-4018.749) (-4011.089) * [-4000.834] (-4010.611) (-4009.533) (-4023.314) -- 0:05:07
Average standard deviation of split frequencies: 0.005086
711000 -- [-3991.428] (-4023.501) (-4009.127) (-4027.140) * (-4004.082) [-4002.136] (-4012.528) (-4035.536) -- 0:05:06
712000 -- (-4006.782) (-4011.348) (-4005.188) [-4001.731] * [-4012.143] (-4007.761) (-4012.152) (-4041.499) -- 0:05:05
713000 -- (-4027.421) (-4012.960) (-4002.264) [-4003.154] * (-4014.580) (-4012.464) [-3997.183] (-4016.436) -- 0:05:04
714000 -- (-4007.247) (-4015.009) [-3998.378] (-4021.547) * [-4016.851] (-4021.641) (-4001.662) (-4006.511) -- 0:05:03
715000 -- (-4020.450) (-4002.551) [-3999.005] (-4023.474) * [-3999.490] (-4017.273) (-4008.333) (-4007.160) -- 0:05:02
Average standard deviation of split frequencies: 0.004926
716000 -- (-4033.878) (-3993.520) (-4007.843) [-4013.973] * (-4006.681) [-3997.963] (-4009.600) (-4016.610) -- 0:05:01
717000 -- [-4001.020] (-3999.993) (-4019.771) (-4000.715) * (-4006.525) [-4003.431] (-4010.804) (-4010.318) -- 0:04:59
718000 -- (-4013.606) (-4011.628) [-4003.168] (-3996.597) * (-3994.059) [-3998.672] (-4003.380) (-4011.653) -- 0:04:58
719000 -- [-3995.391] (-4012.979) (-3997.746) (-3995.433) * [-3998.099] (-4008.338) (-4019.287) (-4005.889) -- 0:04:57
720000 -- (-4022.134) (-4028.462) [-4013.096] (-4011.065) * [-3998.132] (-4019.238) (-4005.494) (-4001.812) -- 0:04:56
Average standard deviation of split frequencies: 0.004821
721000 -- (-4015.729) [-4010.654] (-4011.451) (-4019.171) * (-3997.456) (-4009.303) (-4018.197) [-4001.446] -- 0:04:55
722000 -- [-3999.918] (-4007.666) (-4025.606) (-4005.937) * (-4004.369) (-4013.175) [-4003.244] (-4013.798) -- 0:04:54
723000 -- (-4013.037) (-4007.209) (-4021.566) [-3994.115] * [-4009.791] (-4016.733) (-4004.290) (-4018.505) -- 0:04:53
724000 -- (-3997.131) [-3998.357] (-3997.049) (-4013.693) * (-4000.937) [-3997.009] (-4030.352) (-4004.878) -- 0:04:52
725000 -- [-3990.183] (-4013.856) (-4023.861) (-4025.533) * [-3999.400] (-3998.602) (-4022.128) (-4008.129) -- 0:04:51
Average standard deviation of split frequencies: 0.004497
726000 -- (-4008.727) (-4022.659) [-4003.070] (-4019.415) * (-4006.190) [-3999.304] (-4007.612) (-4011.858) -- 0:04:50
727000 -- (-4024.525) (-4007.620) [-4004.634] (-4006.296) * (-4020.819) (-3997.209) (-4013.469) [-3997.651] -- 0:04:49
728000 -- (-4023.440) (-4008.889) (-4017.353) [-4006.049] * (-4009.336) [-3990.956] (-4004.884) (-4000.608) -- 0:04:48
729000 -- (-4012.497) [-3998.532] (-4006.930) (-4018.294) * [-3993.065] (-4009.209) (-4008.528) (-4013.689) -- 0:04:47
730000 -- (-4003.769) [-3999.273] (-3998.288) (-4015.872) * (-4002.905) (-4022.721) [-4003.043] (-4004.610) -- 0:04:46
Average standard deviation of split frequencies: 0.004899
731000 -- (-4016.727) [-3998.770] (-4008.173) (-4002.797) * (-4022.846) (-4013.251) [-4007.398] (-4000.064) -- 0:04:45
732000 -- (-4012.318) (-4010.661) [-3996.507] (-4013.050) * (-4009.109) (-4019.541) (-4007.281) [-3999.578] -- 0:04:44
733000 -- [-4013.542] (-4010.355) (-4028.825) (-4009.239) * (-4011.122) (-4015.005) (-4031.640) [-3997.486] -- 0:04:43
734000 -- (-4013.712) (-4016.007) (-3998.598) [-4002.753] * (-4010.679) (-4008.891) (-4021.979) [-4007.005] -- 0:04:41
735000 -- [-3997.518] (-4003.967) (-3987.310) (-4006.570) * (-4005.422) (-4008.999) (-4006.466) [-3995.718] -- 0:04:40
Average standard deviation of split frequencies: 0.004958
736000 -- [-4008.071] (-4004.352) (-4003.045) (-4026.346) * (-4028.250) (-4019.962) (-4020.572) [-3996.244] -- 0:04:39
737000 -- (-4014.891) [-3998.820] (-4008.374) (-3999.093) * (-4017.663) (-4013.199) (-4015.095) [-4006.020] -- 0:04:38
738000 -- (-4008.898) (-4004.537) (-4012.958) [-4000.892] * [-4009.586] (-4012.110) (-4002.830) (-4002.206) -- 0:04:37
739000 -- (-4021.668) [-3991.242] (-3994.458) (-4015.162) * [-4003.674] (-4004.009) (-4004.226) (-4025.525) -- 0:04:36
740000 -- (-4014.879) [-3999.158] (-4002.350) (-4024.674) * (-4005.366) [-3997.299] (-4013.685) (-4015.375) -- 0:04:35
Average standard deviation of split frequencies: 0.005021
741000 -- (-4019.191) [-4002.466] (-4000.313) (-4003.388) * [-3992.671] (-4014.782) (-4018.044) (-4022.602) -- 0:04:34
742000 -- (-4015.194) [-4001.891] (-4008.642) (-4000.723) * [-3999.938] (-4006.738) (-4016.754) (-4010.594) -- 0:04:33
743000 -- (-4037.071) (-4001.484) [-4006.900] (-4011.464) * (-4005.120) [-4003.331] (-4000.918) (-4022.294) -- 0:04:32
744000 -- [-4010.098] (-4009.255) (-4003.259) (-4010.968) * (-4014.550) [-3998.283] (-3999.704) (-4011.955) -- 0:04:31
745000 -- [-3994.231] (-4018.441) (-3997.664) (-4017.928) * (-4033.775) [-3992.695] (-3997.151) (-4017.697) -- 0:04:30
Average standard deviation of split frequencies: 0.005100
746000 -- (-4005.117) [-3999.418] (-4001.450) (-4028.423) * [-4008.803] (-4005.450) (-4021.266) (-4023.093) -- 0:04:29
747000 -- (-3998.424) (-4012.145) [-4013.144] (-4011.157) * (-4020.706) [-4004.821] (-4004.451) (-4014.869) -- 0:04:28
748000 -- [-4000.669] (-4011.664) (-4005.952) (-4006.761) * [-3997.556] (-4018.371) (-4007.125) (-4016.104) -- 0:04:27
749000 -- (-4007.819) (-3999.958) (-3994.851) [-4004.630] * (-4013.748) [-4003.284] (-4011.163) (-4017.983) -- 0:04:26
750000 -- (-4021.653) (-4014.428) [-3995.713] (-4015.663) * (-4013.856) (-4028.605) (-4010.391) [-3991.708] -- 0:04:25
Average standard deviation of split frequencies: 0.004867
751000 -- (-4005.232) (-4010.578) (-4022.631) [-3999.070] * (-4012.389) (-4013.835) (-4010.283) [-4009.579] -- 0:04:23
752000 -- (-4010.666) (-4002.604) [-3998.500] (-4006.763) * (-4029.458) (-4010.157) (-4004.187) [-4008.957] -- 0:04:22
753000 -- (-4020.765) (-4001.608) [-4006.053] (-4003.704) * (-4026.725) (-4016.355) (-4002.756) [-3999.350] -- 0:04:21
754000 -- (-4030.225) [-3998.214] (-4028.788) (-4010.731) * (-4024.816) (-4023.323) [-4001.854] (-4012.049) -- 0:04:20
755000 -- (-4011.571) (-4016.361) (-4022.005) [-4000.322] * (-4032.492) [-4002.831] (-4025.718) (-4004.538) -- 0:04:19
Average standard deviation of split frequencies: 0.004503
756000 -- (-3993.913) [-4007.250] (-4009.632) (-3997.483) * (-4011.631) (-3994.106) (-4015.485) [-4005.397] -- 0:04:18
757000 -- [-3999.709] (-4020.734) (-4012.223) (-4007.966) * (-3999.351) [-4005.139] (-4016.231) (-4007.999) -- 0:04:17
758000 -- [-3992.663] (-4025.653) (-4005.592) (-4014.884) * (-4003.563) (-4002.144) (-4013.957) [-4008.424] -- 0:04:16
759000 -- (-4011.933) (-4006.379) [-3993.673] (-4010.776) * (-4029.452) (-3998.798) (-4010.698) [-4010.098] -- 0:04:15
760000 -- (-4010.254) [-4020.696] (-4013.199) (-4024.447) * (-4005.288) [-4002.092] (-4009.310) (-4026.354) -- 0:04:14
Average standard deviation of split frequencies: 0.004430
761000 -- [-4001.364] (-4007.233) (-4031.858) (-4002.204) * (-4014.462) [-3991.088] (-4014.338) (-4010.523) -- 0:04:13
762000 -- (-4016.529) [-4011.280] (-4021.248) (-4019.811) * (-4016.767) (-4004.844) [-4010.861] (-4025.242) -- 0:04:12
763000 -- (-4013.746) [-4004.775] (-4014.194) (-4005.723) * (-4000.207) [-3999.323] (-4002.806) (-4008.519) -- 0:04:11
764000 -- (-4007.993) [-3999.407] (-4007.054) (-4014.707) * [-4002.292] (-3999.208) (-4011.514) (-4017.414) -- 0:04:10
765000 -- (-4003.887) [-4004.709] (-4020.367) (-4005.210) * (-4019.836) [-4002.434] (-4010.814) (-4010.677) -- 0:04:09
Average standard deviation of split frequencies: 0.004239
766000 -- (-4010.017) (-4003.441) (-4022.546) [-3998.011] * [-3993.633] (-4025.131) (-4017.671) (-4000.236) -- 0:04:08
767000 -- (-4029.527) (-4015.290) (-4018.523) [-3997.955] * (-3997.507) (-4028.657) (-4019.060) [-4008.062] -- 0:04:06
768000 -- (-4023.691) (-4012.381) [-4003.954] (-4020.347) * (-4009.837) (-4032.223) (-4016.889) [-4011.768] -- 0:04:05
769000 -- (-4003.288) [-4007.306] (-4008.566) (-4023.774) * (-4004.318) (-4013.537) [-4012.640] (-4007.214) -- 0:04:04
770000 -- [-4001.185] (-4007.078) (-4007.458) (-4022.757) * (-4002.403) [-3994.814] (-4009.076) (-4020.121) -- 0:04:03
Average standard deviation of split frequencies: 0.004169
771000 -- (-4014.996) [-3997.638] (-4027.314) (-4018.925) * [-3990.439] (-4008.658) (-4002.495) (-4002.488) -- 0:04:02
772000 -- [-4000.421] (-3997.878) (-4016.149) (-4023.648) * [-4009.203] (-4008.769) (-3995.025) (-4014.680) -- 0:04:01
773000 -- (-3996.362) (-4020.331) [-4008.407] (-4020.614) * [-4002.320] (-4011.429) (-4020.338) (-4013.218) -- 0:04:00
774000 -- (-3999.002) (-4020.746) (-4010.126) [-3997.977] * [-3995.978] (-4019.773) (-4015.774) (-4013.259) -- 0:03:59
775000 -- (-4014.119) (-4017.866) (-4016.881) [-4006.390] * (-4001.260) (-4027.104) [-3999.666] (-4020.893) -- 0:03:58
Average standard deviation of split frequencies: 0.004230
776000 -- [-4004.946] (-4019.810) (-4014.719) (-4008.079) * [-3999.810] (-4017.982) (-4004.186) (-4002.186) -- 0:03:57
777000 -- (-4014.201) (-3994.526) [-4006.723] (-4006.065) * (-4008.121) [-4009.073] (-4015.747) (-4018.053) -- 0:03:56
778000 -- [-4004.924] (-4005.152) (-4012.439) (-4020.182) * [-4002.133] (-4021.427) (-3998.241) (-4015.704) -- 0:03:55
779000 -- [-4002.925] (-4021.815) (-4002.954) (-4014.318) * (-4011.389) (-4020.920) [-4008.773] (-4024.573) -- 0:03:54
780000 -- [-4002.545] (-4004.955) (-4006.501) (-4019.161) * [-4001.724] (-4023.685) (-4001.328) (-4004.405) -- 0:03:53
Average standard deviation of split frequencies: 0.003869
781000 -- (-3997.905) [-4002.725] (-4011.842) (-4015.667) * (-4009.427) (-4016.095) (-4005.480) [-3999.648] -- 0:03:52
782000 -- (-3997.075) [-4007.127] (-4013.266) (-4007.773) * (-4005.348) (-4025.154) [-3994.700] (-4003.925) -- 0:03:51
783000 -- (-4008.898) (-4013.177) [-4018.914] (-4013.439) * (-4000.002) (-4014.323) (-4014.111) [-4000.320] -- 0:03:50
784000 -- (-4001.090) (-4004.629) [-3999.881] (-4023.371) * (-4012.554) [-3998.283] (-4014.520) (-4004.606) -- 0:03:48
785000 -- [-4007.942] (-4003.099) (-4002.931) (-4014.953) * (-4004.947) [-4009.556] (-4007.923) (-4019.383) -- 0:03:47
Average standard deviation of split frequencies: 0.003665
786000 -- (-4008.402) (-4016.393) (-4007.195) [-4004.704] * (-3997.036) (-4014.518) (-4004.649) [-4000.843] -- 0:03:46
787000 -- (-4002.806) (-4003.729) [-4003.536] (-4015.679) * (-4009.251) (-4022.172) (-4003.059) [-4006.135] -- 0:03:45
788000 -- (-4015.503) [-3996.350] (-3999.828) (-4009.215) * (-4006.471) (-4018.269) [-4003.005] (-4008.808) -- 0:03:44
789000 -- (-4006.687) [-4011.183] (-4009.719) (-4009.822) * (-4027.037) (-4007.638) (-4007.402) [-4002.412] -- 0:03:43
790000 -- [-4005.207] (-4008.822) (-4007.382) (-4000.943) * (-4019.332) (-4019.621) (-4000.458) [-4004.061] -- 0:03:42
Average standard deviation of split frequencies: 0.003555
791000 -- (-4014.504) [-3998.590] (-4006.917) (-3996.771) * [-4004.333] (-4032.741) (-3999.488) (-4001.841) -- 0:03:41
792000 -- [-4009.219] (-4009.824) (-4003.373) (-4014.239) * (-4007.008) (-4025.102) (-3998.697) [-4015.414] -- 0:03:40
793000 -- [-4003.034] (-4007.861) (-4014.681) (-4012.407) * (-4003.484) (-4009.950) [-4000.592] (-4000.874) -- 0:03:39
794000 -- (-4001.165) (-4001.146) [-3997.148] (-4009.275) * (-4010.348) (-4013.173) (-4007.210) [-4019.172] -- 0:03:38
795000 -- (-4014.529) (-4001.468) [-4006.802] (-4011.551) * (-3996.059) [-4004.254] (-4004.751) (-4004.101) -- 0:03:37
Average standard deviation of split frequencies: 0.003553
796000 -- (-4010.946) (-4006.178) (-4008.263) [-3998.534] * [-4015.041] (-4020.836) (-4000.033) (-4010.522) -- 0:03:36
797000 -- (-4008.376) (-4021.251) [-3998.214] (-4003.132) * (-4013.150) (-4015.221) (-4009.741) [-4007.010] -- 0:03:35
798000 -- (-3993.257) (-4004.726) [-4006.368] (-4007.401) * (-4005.702) (-4019.015) (-4004.750) [-4009.759] -- 0:03:34
799000 -- (-4006.656) (-4014.516) [-4006.988] (-4006.340) * (-4009.704) [-4007.182] (-4003.689) (-3999.665) -- 0:03:33
800000 -- [-4003.411] (-4014.862) (-4015.438) (-4014.355) * (-3995.065) (-4015.671) (-3994.948) [-4012.030] -- 0:03:32
Average standard deviation of split frequencies: 0.003598
801000 -- (-4013.467) (-4010.541) (-4002.264) [-4008.096] * (-4028.650) (-4029.228) [-4002.097] (-4004.808) -- 0:03:30
802000 -- (-4017.599) [-4005.717] (-4025.900) (-4000.861) * (-4004.901) (-4040.699) [-3999.814] (-4006.990) -- 0:03:29
803000 -- (-4015.490) [-3990.203] (-4011.574) (-4006.407) * (-4006.581) (-4001.465) [-4000.073] (-3996.322) -- 0:03:28
804000 -- (-4017.046) (-4005.335) (-4016.236) [-3999.922] * (-4009.998) (-4013.417) [-4000.564] (-4004.280) -- 0:03:27
805000 -- (-4010.786) (-3999.162) (-4003.267) [-4011.862] * [-4002.096] (-4002.539) (-4001.368) (-4020.982) -- 0:03:26
Average standard deviation of split frequencies: 0.003531
806000 -- [-4004.247] (-4014.787) (-4014.195) (-4023.240) * (-4015.031) (-4015.736) [-4003.018] (-4011.169) -- 0:03:25
807000 -- (-4006.124) (-4018.563) [-4008.292] (-4009.118) * (-4002.601) (-4006.979) [-3999.057] (-4005.802) -- 0:03:24
808000 -- [-4006.787] (-4026.152) (-4004.192) (-4024.913) * [-4010.693] (-4027.447) (-4001.800) (-3993.620) -- 0:03:23
809000 -- (-4009.135) [-3999.848] (-4010.156) (-4019.074) * (-4012.932) (-4016.337) (-4006.091) [-4007.666] -- 0:03:22
810000 -- (-4026.449) (-3994.920) [-4001.662] (-4012.487) * (-4022.797) (-4022.562) (-4005.870) [-4002.624] -- 0:03:21
Average standard deviation of split frequencies: 0.003403
811000 -- (-4004.887) (-4015.003) (-4004.249) [-4009.584] * (-4001.167) (-4001.846) (-4025.176) [-3996.731] -- 0:03:20
812000 -- (-4012.902) (-4013.430) (-4022.335) [-3998.159] * (-3999.285) (-4013.779) [-4007.075] (-4009.872) -- 0:03:19
813000 -- (-4019.763) (-4019.293) (-4008.581) [-4000.664] * (-4013.830) (-3996.182) (-4020.853) [-4004.481] -- 0:03:18
814000 -- [-4007.015] (-4016.851) (-4016.054) (-4015.642) * (-4021.101) (-4008.856) (-4001.783) [-3998.064] -- 0:03:17
815000 -- (-4027.560) (-4003.836) (-4013.041) [-4014.055] * (-4012.757) (-4004.281) (-4003.068) [-4008.466] -- 0:03:16
Average standard deviation of split frequencies: 0.003338
816000 -- (-4013.793) (-4026.426) [-4003.674] (-3999.467) * (-4026.381) (-4012.808) [-3996.295] (-4009.458) -- 0:03:15
817000 -- [-4010.446] (-4022.440) (-4011.968) (-4002.979) * [-3998.878] (-4020.933) (-4009.213) (-4009.865) -- 0:03:13
818000 -- (-4015.955) (-4005.413) [-3994.545] (-4002.827) * (-4006.955) [-4000.181] (-4000.025) (-4012.126) -- 0:03:12
819000 -- (-4023.621) (-4014.420) (-4009.605) [-4000.792] * (-3994.799) [-4007.740] (-4005.354) (-4004.912) -- 0:03:11
820000 -- (-4007.606) (-4025.462) (-4018.117) [-4006.311] * (-4006.147) [-4000.695] (-4010.673) (-4012.307) -- 0:03:10
Average standard deviation of split frequencies: 0.003553
821000 -- (-4019.310) [-4010.748] (-4017.299) (-4009.608) * (-4009.741) (-4008.412) [-4013.733] (-3989.618) -- 0:03:09
822000 -- (-4026.133) (-4002.603) [-3995.869] (-4004.450) * (-4011.146) (-4011.068) [-4010.669] (-3996.587) -- 0:03:08
823000 -- [-4008.607] (-4016.675) (-4006.819) (-4028.607) * [-4000.564] (-4008.199) (-4006.899) (-4023.604) -- 0:03:07
824000 -- (-4015.292) (-4019.683) (-4005.130) [-4020.123] * (-4020.639) [-4003.080] (-4011.635) (-4016.336) -- 0:03:06
825000 -- (-4003.305) (-4014.508) [-3997.442] (-4020.512) * (-4015.166) (-4007.895) (-3997.584) [-4008.161] -- 0:03:05
Average standard deviation of split frequencies: 0.003614
826000 -- (-4014.546) [-4014.169] (-3999.113) (-4009.840) * (-4009.899) (-3999.632) (-4007.202) [-4007.412] -- 0:03:04
827000 -- (-4015.870) (-4013.273) (-4007.960) [-4004.141] * [-3999.226] (-4007.009) (-4020.031) (-4009.388) -- 0:03:03
828000 -- (-4004.457) [-3999.596] (-4011.603) (-4006.575) * (-4016.520) (-4010.139) [-4002.829] (-4005.260) -- 0:03:02
829000 -- (-4004.154) (-4009.576) (-4018.888) [-3998.157] * (-4015.164) [-4001.701] (-4000.328) (-4015.734) -- 0:03:01
830000 -- (-4014.612) (-4008.251) (-4003.818) [-4001.943] * (-3993.720) [-4007.208] (-4006.485) (-4017.110) -- 0:03:00
Average standard deviation of split frequencies: 0.003573
831000 -- (-4020.875) (-4006.211) [-4011.463] (-4004.770) * (-4004.912) [-3998.402] (-4008.607) (-4006.643) -- 0:02:59
832000 -- (-4005.756) (-4008.111) (-4010.748) [-4009.458] * (-4021.004) (-4009.339) (-4014.495) [-4005.985] -- 0:02:58
833000 -- (-4012.078) [-4004.482] (-4008.178) (-4014.037) * (-4010.978) [-4000.982] (-4023.750) (-4011.670) -- 0:02:57
834000 -- (-4021.977) [-4007.952] (-4003.484) (-4022.802) * [-4007.518] (-4001.203) (-4003.341) (-4010.126) -- 0:02:55
835000 -- (-4006.861) (-4012.801) (-3997.851) [-4000.843] * (-4025.972) (-4006.170) [-4011.376] (-4010.183) -- 0:02:54
Average standard deviation of split frequencies: 0.003738
836000 -- [-4002.197] (-4002.921) (-4012.424) (-4011.389) * (-4003.710) (-4016.422) [-3999.952] (-4021.554) -- 0:02:53
837000 -- [-4011.158] (-4008.094) (-4016.179) (-4022.404) * [-4011.856] (-4014.728) (-4028.330) (-4017.416) -- 0:02:52
838000 -- (-3993.323) (-3998.471) [-4001.314] (-4016.504) * (-3996.312) [-4002.955] (-4003.271) (-4025.682) -- 0:02:51
839000 -- (-4014.345) [-3999.549] (-4012.514) (-4008.920) * [-3997.815] (-4016.182) (-4003.424) (-4007.246) -- 0:02:50
840000 -- [-3997.564] (-4014.459) (-4020.204) (-4000.455) * (-4010.874) (-4014.144) (-4004.109) [-4013.504] -- 0:02:49
Average standard deviation of split frequencies: 0.003821
841000 -- [-4006.695] (-4030.003) (-4023.440) (-3999.202) * [-4003.273] (-4015.383) (-4008.121) (-4029.071) -- 0:02:48
842000 -- (-4007.304) (-4015.738) (-4016.056) [-4003.560] * (-4004.813) (-4036.761) [-4013.699] (-4021.563) -- 0:02:47
843000 -- [-4003.005] (-4017.793) (-4012.142) (-4010.634) * (-4020.334) (-4007.375) (-4005.186) [-4005.180] -- 0:02:46
844000 -- (-4011.594) (-3999.934) [-4010.520] (-4002.731) * (-4010.970) (-4000.751) (-4003.107) [-3996.552] -- 0:02:45
845000 -- (-4010.090) (-4005.410) [-4007.867] (-4001.787) * (-4008.733) (-4013.316) (-4019.955) [-4002.026] -- 0:02:44
Average standard deviation of split frequencies: 0.003797
846000 -- [-4007.792] (-4032.426) (-4016.399) (-4006.464) * (-4003.790) (-4013.170) [-4018.279] (-4006.216) -- 0:02:43
847000 -- (-4001.662) [-4008.637] (-4021.072) (-4023.883) * (-4011.609) [-3999.386] (-4005.463) (-4018.846) -- 0:02:42
848000 -- (-4028.222) (-4006.258) (-4006.042) [-3999.426] * (-4017.705) [-3992.509] (-4000.573) (-4022.393) -- 0:02:41
849000 -- (-4010.067) (-4036.535) (-3996.200) [-4003.307] * (-3999.942) (-4012.542) (-4004.401) [-4009.497] -- 0:02:40
850000 -- (-4006.873) (-4004.585) (-4010.388) [-4005.416] * [-4007.649] (-4027.149) (-4007.081) (-4011.980) -- 0:02:39
Average standard deviation of split frequencies: 0.003448
851000 -- [-4007.057] (-4019.649) (-4004.282) (-4001.630) * [-4002.851] (-4013.083) (-4009.114) (-4006.146) -- 0:02:37
852000 -- (-4015.864) (-4009.895) (-4009.890) [-3994.526] * (-4012.275) (-4007.656) [-3996.331] (-4018.323) -- 0:02:36
853000 -- (-4020.389) (-4006.559) [-3999.700] (-4008.626) * (-4005.255) (-4013.164) (-4012.402) [-3996.980] -- 0:02:35
854000 -- (-4023.754) [-3999.663] (-3998.734) (-4014.839) * (-4023.662) (-4006.629) (-4013.993) [-4000.810] -- 0:02:34
855000 -- (-4019.513) (-4004.199) (-4013.004) [-4004.102] * [-4002.908] (-4007.743) (-4018.978) (-4012.586) -- 0:02:33
Average standard deviation of split frequencies: 0.003590
856000 -- (-4008.966) (-4016.065) [-4000.738] (-4011.681) * (-4005.473) (-4010.987) [-3995.802] (-4010.623) -- 0:02:32
857000 -- (-4008.835) (-4011.982) [-3993.972] (-4031.145) * [-3999.182] (-4015.295) (-4003.930) (-4006.562) -- 0:02:31
858000 -- (-4019.703) (-4017.814) [-3996.767] (-4003.255) * (-4006.914) [-4007.938] (-4013.431) (-4022.337) -- 0:02:30
859000 -- (-4002.928) (-4016.430) (-4003.289) [-4006.728] * (-4012.557) [-4006.437] (-4004.246) (-4014.794) -- 0:02:29
860000 -- (-4014.099) [-4004.387] (-4001.676) (-4009.972) * [-4003.475] (-4009.986) (-4001.266) (-4006.634) -- 0:02:28
Average standard deviation of split frequencies: 0.003733
861000 -- [-3997.291] (-4020.180) (-4012.067) (-4026.711) * (-4003.658) (-4002.440) [-4014.982] (-4004.951) -- 0:02:27
862000 -- (-4018.083) [-4005.883] (-4013.317) (-4021.853) * (-4019.922) [-3995.540] (-4006.726) (-4001.548) -- 0:02:26
863000 -- (-4001.620) (-4012.034) (-4018.490) [-4009.183] * (-4004.401) (-4006.278) [-3992.762] (-3997.694) -- 0:02:25
864000 -- (-4020.619) [-3999.228] (-4000.853) (-4015.964) * (-4016.244) (-4002.666) [-4000.010] (-4005.172) -- 0:02:24
865000 -- (-4004.214) (-4003.803) [-3997.583] (-4008.986) * (-4007.712) (-4011.533) [-4009.183] (-4020.095) -- 0:02:23
Average standard deviation of split frequencies: 0.003689
866000 -- [-3997.506] (-4018.673) (-4006.171) (-4012.203) * [-4005.822] (-4020.481) (-4005.222) (-4007.897) -- 0:02:22
867000 -- (-4004.086) (-4031.414) [-4013.010] (-4022.698) * (-4006.208) [-4009.361] (-4012.131) (-4023.075) -- 0:02:20
868000 -- (-4010.936) (-4005.181) (-4006.090) [-4014.509] * (-4002.380) (-4011.542) [-4008.836] (-4023.434) -- 0:02:19
869000 -- (-4003.317) (-4002.959) [-3999.109] (-4016.253) * (-4018.654) (-4022.853) [-4000.746] (-4018.585) -- 0:02:18
870000 -- (-4004.129) (-4008.926) [-3993.869] (-4024.335) * (-4010.676) [-4005.895] (-4009.694) (-4029.646) -- 0:02:17
Average standard deviation of split frequencies: 0.003690
871000 -- (-4002.690) (-4011.455) [-4009.671] (-4030.462) * [-4004.071] (-4005.199) (-4008.923) (-4017.597) -- 0:02:16
872000 -- (-4011.296) (-4026.461) [-3997.581] (-4019.601) * (-4008.990) (-4004.149) [-4016.666] (-4024.565) -- 0:02:15
873000 -- (-4001.850) (-4019.131) [-4001.926] (-4006.913) * (-4013.172) [-4009.260] (-4007.173) (-4009.678) -- 0:02:14
874000 -- [-4005.305] (-4002.881) (-4003.481) (-4008.556) * (-4016.989) (-4016.863) (-4009.272) [-4009.121] -- 0:02:13
875000 -- (-4020.247) (-4009.053) (-4008.405) [-4000.870] * (-4015.203) (-4003.726) (-4010.820) [-4010.174] -- 0:02:12
Average standard deviation of split frequencies: 0.003508
876000 -- (-4023.805) (-4004.462) [-3997.769] (-4004.394) * (-4030.507) (-4022.612) [-4001.237] (-3997.613) -- 0:02:11
877000 -- [-4008.494] (-3999.167) (-4022.232) (-3995.115) * (-4017.261) (-4011.398) [-3992.750] (-4002.100) -- 0:02:10
878000 -- [-3998.243] (-4007.052) (-4014.988) (-3999.987) * (-3999.780) [-4001.600] (-3994.617) (-4005.362) -- 0:02:09
879000 -- (-4018.411) (-4011.091) (-4020.413) [-3984.779] * (-4029.975) (-4017.214) [-3990.265] (-4009.674) -- 0:02:08
880000 -- [-4007.132] (-4011.368) (-4020.921) (-3993.248) * (-4022.993) [-4004.007] (-4021.902) (-4009.881) -- 0:02:07
Average standard deviation of split frequencies: 0.003251
881000 -- (-4018.775) [-3995.030] (-4016.153) (-4005.581) * (-4006.113) [-4015.726] (-3997.726) (-4012.169) -- 0:02:06
882000 -- (-4020.871) [-4007.413] (-4008.125) (-4013.221) * [-4004.345] (-4024.629) (-4024.004) (-4018.247) -- 0:02:05
883000 -- (-4017.690) (-4007.033) (-4016.171) [-3997.854] * (-3995.373) (-4014.927) (-4017.472) [-3995.962] -- 0:02:04
884000 -- (-4014.029) (-4013.549) (-4017.014) [-4004.839] * [-4000.760] (-3997.803) (-4017.329) (-4002.344) -- 0:02:03
885000 -- (-4025.205) (-4004.949) (-4003.720) [-4007.580] * (-4004.465) (-3996.942) (-3995.208) [-3994.268] -- 0:02:02
Average standard deviation of split frequencies: 0.003271
886000 -- [-4014.109] (-4025.605) (-4014.956) (-4002.956) * (-4006.541) (-4003.527) [-4003.140] (-4024.628) -- 0:02:00
887000 -- (-4010.620) (-4006.390) [-3998.261] (-4023.802) * (-4002.362) (-4013.167) [-3995.506] (-4017.974) -- 0:01:59
888000 -- (-4004.729) (-3999.267) [-3993.433] (-4022.710) * (-4013.742) (-4012.803) [-4000.128] (-4012.344) -- 0:01:58
889000 -- [-3998.367] (-4004.446) (-4027.888) (-4012.592) * (-3999.132) (-4026.611) (-4005.832) [-3998.624] -- 0:01:57
890000 -- (-4004.915) [-4002.916] (-4015.384) (-4017.002) * (-4001.635) (-4027.556) [-3994.275] (-4004.980) -- 0:01:56
Average standard deviation of split frequencies: 0.003234
891000 -- (-4018.577) (-4002.654) [-4007.056] (-4015.008) * (-4008.738) (-4007.172) [-4006.790] (-4018.275) -- 0:01:55
892000 -- (-4002.911) [-4005.652] (-4003.926) (-4028.986) * [-3999.943] (-4009.905) (-4015.190) (-4002.572) -- 0:01:54
893000 -- [-4001.991] (-4012.047) (-4007.281) (-4008.957) * [-4006.521] (-4014.493) (-4010.139) (-4002.442) -- 0:01:53
894000 -- (-4011.942) (-4002.474) [-4001.203] (-4010.153) * (-4018.565) (-4005.673) [-3993.256] (-4003.248) -- 0:01:52
895000 -- [-4001.523] (-4006.910) (-4001.488) (-4018.572) * (-4010.856) [-4009.983] (-4010.959) (-3999.901) -- 0:01:51
Average standard deviation of split frequencies: 0.002981
896000 -- [-3998.077] (-4022.695) (-3999.765) (-4028.261) * (-4005.660) [-3996.995] (-4004.487) (-4006.974) -- 0:01:50
897000 -- (-4008.367) (-4006.386) [-3998.729] (-4004.057) * (-4017.134) (-4003.991) (-4006.087) [-4003.030] -- 0:01:49
898000 -- [-4009.703] (-4004.240) (-4004.897) (-4010.484) * (-4009.063) (-4012.808) [-4007.717] (-4003.556) -- 0:01:48
899000 -- [-4000.761] (-4011.575) (-3998.370) (-4004.233) * (-4009.207) (-4006.185) [-4000.941] (-4005.853) -- 0:01:47
900000 -- [-3997.072] (-4003.766) (-4005.434) (-3997.656) * (-4018.083) [-3996.570] (-4011.343) (-4006.950) -- 0:01:46
Average standard deviation of split frequencies: 0.003063
901000 -- (-4027.796) (-4018.755) (-4007.122) [-4006.096] * [-4000.269] (-3999.111) (-4015.748) (-4022.791) -- 0:01:45
902000 -- (-4022.044) (-4008.213) (-4000.293) [-4001.619] * (-3999.675) [-4004.160] (-4010.653) (-4013.054) -- 0:01:43
903000 -- (-4014.565) [-4006.251] (-4009.741) (-4009.438) * [-3996.717] (-4010.227) (-4018.988) (-4020.412) -- 0:01:42
904000 -- (-4017.119) (-3998.047) [-4006.614] (-4004.802) * [-4004.105] (-4023.511) (-4006.633) (-4016.687) -- 0:01:41
905000 -- (-4014.957) (-4020.135) (-3998.431) [-4000.926] * [-3999.630] (-4001.171) (-4004.853) (-4011.279) -- 0:01:40
Average standard deviation of split frequencies: 0.003238
906000 -- [-4001.289] (-4008.954) (-4005.476) (-4002.548) * (-4002.126) (-4013.659) (-4015.811) [-4003.752] -- 0:01:39
907000 -- (-3996.856) [-4003.639] (-3997.640) (-4006.351) * [-3996.064] (-4028.916) (-4010.066) (-4011.213) -- 0:01:38
908000 -- (-4000.727) (-4011.437) [-4010.750] (-4029.282) * [-3998.339] (-3996.659) (-4013.438) (-4006.711) -- 0:01:37
909000 -- [-4011.922] (-4008.005) (-4004.784) (-4010.108) * (-4004.256) [-4000.434] (-4020.371) (-4031.050) -- 0:01:36
910000 -- (-4027.829) [-3995.912] (-4014.434) (-4004.061) * [-4008.045] (-4000.566) (-4011.571) (-4018.511) -- 0:01:35
Average standard deviation of split frequencies: 0.003336
911000 -- (-3997.449) (-4018.157) [-4001.871] (-4003.948) * (-4003.588) (-4019.957) [-4000.857] (-4023.780) -- 0:01:34
912000 -- (-4017.414) (-4031.064) (-4001.114) [-4000.012] * (-4009.906) (-4005.069) [-3994.310] (-4008.581) -- 0:01:33
913000 -- (-4017.521) (-4026.907) [-4000.614] (-3998.475) * (-4016.636) (-4010.971) [-4001.361] (-3996.111) -- 0:01:32
914000 -- [-4010.273] (-4013.067) (-4001.206) (-4012.911) * (-4015.910) (-4031.625) (-4022.387) [-4006.358] -- 0:01:31
915000 -- (-4000.917) (-4020.010) [-3999.760] (-4020.349) * [-4000.507] (-4008.656) (-4017.004) (-4019.172) -- 0:01:30
Average standard deviation of split frequencies: 0.003450
916000 -- [-3992.682] (-4007.420) (-4009.156) (-4020.166) * (-4027.609) (-4006.856) (-4021.298) [-4000.497] -- 0:01:29
917000 -- (-4011.050) [-4006.671] (-4006.563) (-4009.966) * (-4019.575) [-3997.080] (-4033.429) (-4002.912) -- 0:01:28
918000 -- (-4014.253) (-3999.459) (-4017.401) [-3997.947] * (-4010.899) (-4015.455) (-4016.620) [-4000.618] -- 0:01:27
919000 -- (-4010.718) (-4007.208) (-4005.347) [-4002.809] * (-4005.049) (-4000.024) (-4016.625) [-3995.444] -- 0:01:25
920000 -- (-3999.027) (-4013.781) [-4011.907] (-4003.304) * [-4003.947] (-4013.355) (-4010.411) (-4003.950) -- 0:01:24
Average standard deviation of split frequencies: 0.003281
921000 -- (-4014.128) (-4008.671) (-4002.976) [-4001.793] * [-3994.708] (-4005.341) (-4028.671) (-4006.653) -- 0:01:23
922000 -- [-3995.716] (-4020.328) (-4008.954) (-4004.557) * (-4016.828) [-4005.494] (-4017.694) (-4006.372) -- 0:01:22
923000 -- [-4001.810] (-4018.275) (-4018.996) (-4002.816) * [-4010.440] (-4031.125) (-4024.226) (-4016.416) -- 0:01:21
924000 -- (-4009.800) (-4032.943) [-4004.869] (-4015.617) * (-4006.668) (-4017.969) [-4006.887] (-4013.303) -- 0:01:20
925000 -- (-4009.226) (-4032.785) [-3999.499] (-4004.384) * (-4014.036) [-4006.811] (-4003.427) (-4009.607) -- 0:01:19
Average standard deviation of split frequencies: 0.003281
926000 -- (-4016.491) (-4007.611) [-4003.286] (-4028.098) * (-4009.212) (-3997.423) [-4003.647] (-4022.553) -- 0:01:18
927000 -- [-4017.825] (-4011.636) (-4011.865) (-4012.045) * (-4005.729) [-4004.628] (-4010.896) (-4004.158) -- 0:01:17
928000 -- (-4032.418) [-4005.936] (-4005.360) (-4009.887) * (-4020.842) (-4019.519) [-3994.737] (-4004.996) -- 0:01:16
929000 -- (-4019.918) (-4005.438) (-4007.231) [-4001.926] * [-3993.214] (-4021.346) (-4013.255) (-4006.869) -- 0:01:15
930000 -- (-4007.555) (-4006.147) (-4004.281) [-4007.235] * [-3999.951] (-4014.193) (-3998.832) (-4005.738) -- 0:01:14
Average standard deviation of split frequencies: 0.003114
931000 -- [-4010.187] (-4015.330) (-4004.484) (-4019.929) * [-4001.320] (-4008.127) (-4027.739) (-4009.022) -- 0:01:13
932000 -- [-3996.512] (-4009.276) (-4008.209) (-4011.023) * [-4004.246] (-4010.689) (-4018.978) (-4008.134) -- 0:01:12
933000 -- (-4003.582) [-3998.628] (-4022.531) (-4025.123) * (-4020.041) (-4005.212) (-4004.658) [-3996.714] -- 0:01:11
934000 -- (-4026.987) (-4018.601) (-4016.531) [-4000.707] * (-4000.891) (-4009.585) [-4000.725] (-4000.606) -- 0:01:10
935000 -- [-4000.142] (-4022.067) (-4011.926) (-4009.296) * (-3999.786) [-4006.344] (-4003.087) (-4010.939) -- 0:01:08
Average standard deviation of split frequencies: 0.003003
936000 -- (-4017.499) (-4016.155) [-4015.142] (-4015.756) * (-4019.129) [-4004.844] (-3995.102) (-4006.393) -- 0:01:07
937000 -- (-4006.660) [-4017.572] (-4001.868) (-4021.383) * (-4008.465) (-4018.750) [-4000.881] (-4011.646) -- 0:01:06
938000 -- [-4004.248] (-4008.757) (-4003.635) (-4013.828) * [-4003.665] (-4008.186) (-4001.758) (-4010.321) -- 0:01:05
939000 -- (-3999.347) (-4019.769) [-3987.756] (-4006.780) * (-4004.911) (-4004.078) [-4007.914] (-4007.626) -- 0:01:04
940000 -- (-4001.850) [-4013.565] (-4010.739) (-4000.177) * (-4024.601) (-4013.915) [-3990.138] (-4011.978) -- 0:01:03
Average standard deviation of split frequencies: 0.002858
941000 -- (-4005.347) (-4010.499) [-3994.968] (-4001.799) * [-4002.515] (-4014.877) (-4001.042) (-4008.299) -- 0:01:02
942000 -- (-4011.121) (-4001.050) [-4011.314] (-4014.234) * (-4000.555) [-3997.359] (-4022.197) (-4009.967) -- 0:01:01
943000 -- [-3995.387] (-4010.346) (-4004.080) (-4028.877) * (-4012.795) (-4007.280) (-4016.549) [-3997.188] -- 0:01:00
944000 -- (-3994.737) (-3999.600) (-4030.940) [-4012.959] * (-4016.457) (-4009.332) [-4008.465] (-4007.089) -- 0:00:59
945000 -- [-3997.075] (-4005.094) (-4017.737) (-4003.429) * (-3999.428) [-4003.498] (-4013.839) (-4013.136) -- 0:00:58
Average standard deviation of split frequencies: 0.002842
946000 -- (-4014.384) (-3997.933) [-4001.285] (-4009.479) * [-3993.180] (-4033.956) (-3998.155) (-4004.821) -- 0:00:57
947000 -- [-4008.791] (-4007.263) (-4002.789) (-4003.988) * (-4002.284) (-4012.576) [-4001.674] (-4018.911) -- 0:00:56
948000 -- (-4016.591) (-4002.188) [-3997.937] (-4006.232) * (-3998.050) (-4006.640) (-4008.003) [-4006.369] -- 0:00:55
949000 -- (-4018.735) [-4009.580] (-4013.270) (-4007.317) * [-3992.685] (-4015.615) (-4017.627) (-4007.349) -- 0:00:54
950000 -- (-4008.745) (-4015.785) (-4019.607) [-4011.366] * (-4014.272) (-4022.787) [-4003.859] (-4005.398) -- 0:00:53
Average standard deviation of split frequencies: 0.002938
951000 -- (-4010.230) [-4005.486] (-4003.672) (-4007.286) * [-3999.585] (-4016.883) (-4002.605) (-4032.893) -- 0:00:51
952000 -- (-4018.142) [-4003.260] (-4009.994) (-4000.640) * [-4009.002] (-3996.721) (-4000.576) (-4014.634) -- 0:00:50
953000 -- (-4004.776) (-4018.623) (-4016.050) [-4003.186] * (-4016.210) [-3998.429] (-4013.280) (-4001.802) -- 0:00:49
954000 -- (-3998.792) (-4002.632) [-4004.205] (-4005.623) * (-4006.735) (-4009.292) [-4000.091] (-4011.126) -- 0:00:48
955000 -- [-4005.274] (-4008.536) (-4018.426) (-4002.573) * (-4006.947) (-4004.823) [-4001.313] (-4015.570) -- 0:00:47
Average standard deviation of split frequencies: 0.002648
956000 -- (-4010.458) (-4011.874) (-4009.718) [-3989.838] * (-4009.356) [-3995.337] (-4010.499) (-4015.102) -- 0:00:46
957000 -- (-4015.947) (-4010.550) (-4036.902) [-4007.961] * [-4004.433] (-4027.164) (-4008.773) (-4005.013) -- 0:00:45
958000 -- (-4015.575) (-4007.964) [-4012.256] (-4005.453) * (-4006.627) [-4007.496] (-4017.375) (-4013.165) -- 0:00:44
959000 -- (-4021.906) (-4000.739) [-4010.175] (-4007.641) * (-4005.350) (-4003.543) (-4017.983) [-3996.859] -- 0:00:43
960000 -- (-4016.332) (-4010.755) (-4016.416) [-4000.264] * (-4000.638) [-3995.164] (-4019.883) (-4018.721) -- 0:00:42
Average standard deviation of split frequencies: 0.002653
961000 -- (-4022.631) (-3999.167) [-3994.876] (-4010.045) * (-4005.341) (-4003.213) [-4009.126] (-4007.910) -- 0:00:41
962000 -- (-4013.438) (-4004.683) [-3994.441] (-4021.307) * (-4014.876) [-4012.752] (-4014.389) (-4019.434) -- 0:00:40
963000 -- [-3998.317] (-4013.929) (-4017.891) (-4013.162) * [-3997.377] (-4016.141) (-4013.350) (-4009.908) -- 0:00:39
964000 -- (-4006.013) (-4015.313) [-4005.169] (-4016.583) * (-4004.691) (-4004.606) [-4006.016] (-4011.548) -- 0:00:38
965000 -- (-4013.104) (-4020.506) (-4001.593) [-4009.770] * (-4000.614) (-4000.083) (-4004.669) [-4006.852] -- 0:00:37
Average standard deviation of split frequencies: 0.002585
966000 -- (-4012.198) [-3997.827] (-4014.955) (-4006.999) * (-4015.318) (-4005.413) [-4015.751] (-4001.682) -- 0:00:36
967000 -- (-4006.870) [-4012.957] (-4013.846) (-4013.165) * (-4002.975) [-3995.475] (-3999.524) (-4015.756) -- 0:00:35
968000 -- (-3997.600) (-4002.119) [-4010.293] (-4009.905) * (-4020.825) (-4007.975) [-4006.666] (-4008.523) -- 0:00:33
969000 -- (-4013.656) [-3992.019] (-4016.564) (-4007.918) * [-4009.366] (-4021.718) (-4008.804) (-4028.950) -- 0:00:32
970000 -- (-4000.798) [-4003.581] (-4008.382) (-4029.042) * (-4015.679) [-4006.849] (-4014.907) (-4004.168) -- 0:00:31
Average standard deviation of split frequencies: 0.002500
971000 -- (-3996.058) [-3990.275] (-4011.469) (-4007.187) * (-4025.077) [-4002.205] (-4009.325) (-4013.342) -- 0:00:30
972000 -- [-3997.790] (-4015.281) (-4015.597) (-3999.610) * (-4014.438) (-4016.857) [-3996.800] (-4003.643) -- 0:00:29
973000 -- (-4002.280) (-4011.034) (-4037.178) [-4000.473] * (-4011.538) (-4018.463) [-3993.606] (-4007.210) -- 0:00:28
974000 -- [-4000.410] (-4011.742) (-4026.947) (-4009.533) * (-4015.332) (-4009.269) (-3994.789) [-3989.840] -- 0:00:27
975000 -- (-4009.450) [-3998.334] (-4013.451) (-4024.955) * (-4010.522) (-4017.025) (-4010.513) [-3997.714] -- 0:00:26
Average standard deviation of split frequencies: 0.002558
976000 -- (-4008.014) [-3994.258] (-4009.983) (-4007.062) * (-4010.626) (-4008.334) (-4020.711) [-4001.499] -- 0:00:25
977000 -- (-3999.504) (-4005.508) [-3998.260] (-4019.022) * (-4002.985) [-4006.248] (-4012.115) (-4006.551) -- 0:00:24
978000 -- (-4009.800) (-4007.962) [-4008.346] (-4004.474) * (-3999.305) [-3999.241] (-4031.994) (-3996.306) -- 0:00:23
979000 -- [-4000.475] (-4004.159) (-3999.686) (-4024.523) * [-4011.346] (-4011.660) (-4002.856) (-4001.517) -- 0:00:22
980000 -- (-4008.762) [-4004.223] (-4010.350) (-4012.469) * (-4011.501) (-4001.233) [-4003.416] (-4006.520) -- 0:00:21
Average standard deviation of split frequencies: 0.002582
981000 -- (-4025.939) (-4011.903) (-4010.904) [-3997.502] * (-4003.514) [-4000.005] (-4006.474) (-4004.801) -- 0:00:20
982000 -- (-4024.364) (-4023.704) (-4006.651) [-3994.669] * (-4000.670) [-4011.533] (-4012.944) (-3999.811) -- 0:00:19
983000 -- (-4007.635) (-4015.747) (-4008.349) [-4001.617] * (-4008.041) (-4008.895) [-4021.054] (-4013.905) -- 0:00:18
984000 -- (-4002.486) (-4000.527) (-4008.379) [-4012.420] * (-4008.892) (-4019.208) [-3993.281] (-4005.334) -- 0:00:16
985000 -- [-4008.431] (-4013.551) (-4009.536) (-4015.535) * (-4013.373) [-4003.089] (-4007.865) (-4006.561) -- 0:00:15
Average standard deviation of split frequencies: 0.002568
986000 -- (-4006.431) (-4024.894) (-4009.961) [-4017.425] * (-4022.675) (-4011.070) (-4005.412) [-4002.393] -- 0:00:14
987000 -- [-3999.055] (-4006.413) (-4017.918) (-3996.438) * (-3991.894) [-4012.763] (-4025.974) (-4000.900) -- 0:00:13
988000 -- (-4019.420) (-4014.464) (-4019.929) [-4005.583] * (-4016.975) (-4004.886) (-4011.047) [-4007.631] -- 0:00:12
989000 -- (-4007.829) (-4022.646) (-4003.492) [-4004.432] * [-3995.574] (-4017.641) (-4002.677) (-4002.804) -- 0:00:11
990000 -- [-3993.283] (-4020.065) (-4009.195) (-4009.969) * [-3997.936] (-4007.425) (-4006.420) (-4030.118) -- 0:00:10
Average standard deviation of split frequencies: 0.002591
991000 -- (-3997.304) (-4011.613) (-4010.322) [-4011.788] * (-4019.902) (-3996.911) [-4001.448] (-4018.983) -- 0:00:09
992000 -- (-4003.424) (-4024.240) (-3996.703) [-4002.815] * (-4031.337) (-4002.009) (-4002.567) [-4012.557] -- 0:00:08
993000 -- [-3999.325] (-4008.487) (-4000.528) (-4005.365) * [-4004.146] (-4010.224) (-4009.149) (-4021.488) -- 0:00:07
994000 -- [-3998.155] (-4009.493) (-3993.977) (-4008.636) * (-4029.552) [-3998.355] (-4013.010) (-4017.724) -- 0:00:06
995000 -- (-4018.870) (-4004.631) (-4011.421) [-4007.281] * (-4016.960) [-3994.897] (-4011.999) (-4010.043) -- 0:00:05
Average standard deviation of split frequencies: 0.002629
996000 -- (-4032.110) [-3996.267] (-3999.783) (-4005.291) * [-4001.104] (-4011.119) (-4024.852) (-4021.971) -- 0:00:04
997000 -- [-4003.052] (-4009.353) (-4011.571) (-4028.417) * (-4008.137) (-4014.788) [-4005.474] (-4013.423) -- 0:00:03
998000 -- (-4007.679) (-4018.504) [-4011.386] (-4000.970) * (-3996.215) [-4006.373] (-4018.789) (-4020.754) -- 0:00:02
999000 -- (-4011.802) (-4007.869) [-4005.635] (-4015.724) * (-4008.650) [-4002.681] (-4009.287) (-4002.005) -- 0:00:01
1000000 -- (-4018.963) (-4004.440) [-3992.005] (-4008.744) * (-4010.269) (-4014.388) (-4006.926) [-3998.261] -- 0:00:00
Average standard deviation of split frequencies: 0.002565
Analysis completed in 17 mins 41 seconds
Analysis used 1060.43 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -3982.58
Likelihood of best state for "cold" chain of run 2 was -3983.98
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
40.1 % ( 28 %) Dirichlet(Revmat{all})
57.0 % ( 50 %) Slider(Revmat{all})
19.6 % ( 19 %) Dirichlet(Pi{all})
25.2 % ( 18 %) Slider(Pi{all})
53.2 % ( 32 %) Multiplier(Alpha{1,2})
59.2 % ( 36 %) Multiplier(Alpha{3})
64.6 % ( 37 %) Slider(Pinvar{all})
26.3 % ( 28 %) ExtSPR(Tau{all},V{all})
20.6 % ( 21 %) ExtTBR(Tau{all},V{all})
31.5 % ( 30 %) NNI(Tau{all},V{all})
25.7 % ( 27 %) ParsSPR(Tau{all},V{all})
27.0 % ( 27 %) Multiplier(V{all})
53.0 % ( 44 %) Nodeslider(V{all})
25.3 % ( 23 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
39.8 % ( 30 %) Dirichlet(Revmat{all})
55.9 % ( 47 %) Slider(Revmat{all})
20.5 % ( 23 %) Dirichlet(Pi{all})
25.6 % ( 19 %) Slider(Pi{all})
53.1 % ( 27 %) Multiplier(Alpha{1,2})
58.8 % ( 31 %) Multiplier(Alpha{3})
64.5 % ( 27 %) Slider(Pinvar{all})
26.2 % ( 26 %) ExtSPR(Tau{all},V{all})
20.6 % ( 25 %) ExtTBR(Tau{all},V{all})
31.9 % ( 39 %) NNI(Tau{all},V{all})
25.9 % ( 23 %) ParsSPR(Tau{all},V{all})
26.9 % ( 23 %) Multiplier(V{all})
52.8 % ( 46 %) Nodeslider(V{all})
25.2 % ( 25 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.60 0.31 0.13
2 | 166844 0.62 0.33
3 | 166564 166984 0.63
4 | 166300 166748 166560
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.60 0.31 0.14
2 | 166623 0.62 0.33
3 | 166468 166739 0.64
4 | 167004 166947 166219
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)
+------------------------------------------------------------+ -4000.06
| 1 2 1 2 2 |
| 1 1 2 2 1 |
| * 2 1 1 2 1 1 2 22 2|
|11 1 2 2 2 2 2 2 112 2 11|
| 2 2 2 2 2 11 2 2 1 2 1 |
| 2 2 1 121 1 1 122 1 2 |
| * 211 2 121 21 1 1 1 2 |
| 2 2 1 2 11 2 1 2 2 * 1 |
| 221 1 1 2 1 2 1 1 2 |
|2 2 1 2 2 |
| 1 11 2 1 |
| 1 2 11 1 |
| 1 2 2 |
| |
| 1 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -4007.30
^ ^
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 -3990.81 -4021.82
2 -3993.36 -4019.10
--------------------------------------
TOTAL -3991.43 -4021.19
--------------------------------------
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} 0.147733 0.000152 0.123821 0.171171 0.147189 1384.70 1442.85 1.000
r(A<->C){all} 0.079795 0.000481 0.039967 0.122679 0.078303 680.98 798.76 1.002
r(A<->G){all} 0.269865 0.001186 0.208588 0.339241 0.268626 716.83 749.33 1.000
r(A<->T){all} 0.029096 0.000074 0.014089 0.046766 0.028157 1006.32 1069.73 1.000
r(C<->G){all} 0.062873 0.000454 0.023678 0.104757 0.059974 823.34 872.70 1.000
r(C<->T){all} 0.502376 0.001478 0.429121 0.575224 0.501784 654.50 714.12 1.000
r(G<->T){all} 0.055995 0.000149 0.032317 0.079733 0.055073 1055.63 1079.86 1.000
pi(A){all} 0.254935 0.000098 0.235367 0.274249 0.254782 812.45 1007.20 1.000
pi(C){all} 0.138849 0.000059 0.124281 0.153744 0.138909 1085.49 1123.54 1.000
pi(G){all} 0.227200 0.000090 0.209443 0.245672 0.227184 862.07 1061.84 1.000
pi(T){all} 0.379016 0.000117 0.356823 0.399088 0.378942 1224.28 1258.06 1.000
alpha{1,2} 0.293653 0.031880 0.000349 0.633293 0.260292 683.03 771.60 1.000
alpha{3} 2.016848 1.423593 0.354264 4.437631 1.760569 651.35 850.62 1.000
pinvar{all} 0.425632 0.016723 0.157511 0.640149 0.444410 594.13 648.87 1.000
------------------------------------------------------------------------------------------------------
* 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 -- C208
2 -- C270
3 -- C50
4 -- C112
5 -- C174
6 -- C199
7 -- C246
8 -- C280
9 -- C38
10 -- C53
11 -- C287
12 -- C73
13 -- C44
14 -- C182
15 -- C213
16 -- C217
17 -- C151
18 -- C223
19 -- C230
20 -- C258
21 -- C30
22 -- C122
23 -- C130
24 -- C131
25 -- C72
26 -- C31
27 -- C136
28 -- C77
29 -- C79
30 -- C84
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 -- ..*.....*.*.**..*...*..*.*****
------------------------------------
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 3000 0.999334 0.000942 0.998668 1.000000 2
38 3000 0.999334 0.000000 0.999334 0.999334 2
39 2997 0.998334 0.000471 0.998001 0.998668 2
40 2995 0.997668 0.000471 0.997335 0.998001 2
41 2994 0.997335 0.000942 0.996669 0.998001 2
42 2975 0.991006 0.000471 0.990673 0.991339 2
43 2951 0.983011 0.004240 0.980013 0.986009 2
44 2945 0.981013 0.004240 0.978015 0.984011 2
45 2850 0.949367 0.006595 0.944704 0.954031 2
46 2825 0.941039 0.008951 0.934710 0.947368 2
47 2641 0.879747 0.003298 0.877415 0.882079 2
48 2022 0.673551 0.004711 0.670220 0.676882 2
49 1942 0.646902 0.001884 0.645570 0.648235 2
50 1831 0.609927 0.009893 0.602931 0.616922 2
51 1010 0.336442 0.000942 0.335776 0.337109 2
52 996 0.331779 0.002827 0.329780 0.333777 2
53 966 0.321785 0.000942 0.321119 0.322452 2
54 874 0.291139 0.004711 0.287808 0.294470 2
55 555 0.184877 0.007066 0.179880 0.189873 2
56 500 0.166556 0.000000 0.166556 0.166556 2
57 496 0.165223 0.005653 0.161226 0.169221 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] 0.005524 0.000003 0.002193 0.009130 0.005317 1.000 2
length{all}[2] 0.002032 0.000001 0.000387 0.003960 0.001853 1.000 2
length{all}[3] 0.000978 0.000000 0.000013 0.002362 0.000817 1.001 2
length{all}[4] 0.005860 0.000003 0.002572 0.009253 0.005647 1.000 2
length{all}[5] 0.003987 0.000002 0.001219 0.006889 0.003798 1.000 2
length{all}[6] 0.001508 0.000001 0.000112 0.003181 0.001332 1.000 2
length{all}[7] 0.002441 0.000001 0.000542 0.004666 0.002263 1.000 2
length{all}[8] 0.001941 0.000001 0.000285 0.003803 0.001788 1.000 2
length{all}[9] 0.000484 0.000000 0.000000 0.001454 0.000333 1.001 2
length{all}[10] 0.011164 0.000006 0.006437 0.016085 0.010917 1.000 2
length{all}[11] 0.000993 0.000000 0.000027 0.002379 0.000845 1.000 2
length{all}[12] 0.001462 0.000001 0.000191 0.003149 0.001293 1.000 2
length{all}[13] 0.000976 0.000000 0.000024 0.002293 0.000805 1.000 2
length{all}[14] 0.000508 0.000000 0.000000 0.001521 0.000353 1.002 2
length{all}[15] 0.005584 0.000003 0.002284 0.009234 0.005407 1.002 2
length{all}[16] 0.003561 0.000002 0.001232 0.006392 0.003349 1.000 2
length{all}[17] 0.000520 0.000000 0.000000 0.001573 0.000360 1.000 2
length{all}[18] 0.005020 0.000003 0.001973 0.008145 0.004851 1.001 2
length{all}[19] 0.001170 0.000001 0.000057 0.002773 0.000997 1.000 2
length{all}[20] 0.001968 0.000001 0.000270 0.003736 0.001812 1.000 2
length{all}[21] 0.000951 0.000000 0.000015 0.002227 0.000799 1.000 2
length{all}[22] 0.004846 0.000003 0.001946 0.008075 0.004662 1.001 2
length{all}[23] 0.001524 0.000001 0.000171 0.003308 0.001357 1.000 2
length{all}[24] 0.001474 0.000001 0.000193 0.003127 0.001300 1.000 2
length{all}[25] 0.001951 0.000001 0.000314 0.003802 0.001788 1.000 2
length{all}[26] 0.000991 0.000001 0.000050 0.002388 0.000818 1.000 2
length{all}[27] 0.000486 0.000000 0.000000 0.001437 0.000335 1.000 2
length{all}[28] 0.000464 0.000000 0.000000 0.001383 0.000309 1.000 2
length{all}[29] 0.000504 0.000000 0.000000 0.001499 0.000343 1.000 2
length{all}[30] 0.000965 0.000000 0.000049 0.002342 0.000795 1.000 2
length{all}[31] 0.019660 0.000014 0.012364 0.026950 0.019404 1.001 2
length{all}[32] 0.010812 0.000008 0.005631 0.016336 0.010537 1.000 2
length{all}[33] 0.001997 0.000001 0.000401 0.003886 0.001837 1.000 2
length{all}[34] 0.003224 0.000002 0.000959 0.005798 0.003050 1.000 2
length{all}[35] 0.011924 0.000008 0.006289 0.017379 0.011686 1.000 2
length{all}[36] 0.002635 0.000001 0.000691 0.005065 0.002481 1.000 2
length{all}[37] 0.002659 0.000002 0.000478 0.005330 0.002475 1.000 2
length{all}[38] 0.001472 0.000001 0.000169 0.003142 0.001321 1.000 2
length{all}[39] 0.002702 0.000002 0.000536 0.005279 0.002518 1.000 2
length{all}[40] 0.001474 0.000001 0.000101 0.003066 0.001324 1.001 2
length{all}[41] 0.001850 0.000001 0.000213 0.003824 0.001685 1.000 2
length{all}[42] 0.002757 0.000002 0.000464 0.005215 0.002569 1.000 2
length{all}[43] 0.001397 0.000001 0.000071 0.003052 0.001252 1.000 2
length{all}[44] 0.001553 0.000001 0.000156 0.003383 0.001369 1.000 2
length{all}[45] 0.000998 0.000000 0.000038 0.002315 0.000860 1.001 2
length{all}[46] 0.001803 0.000001 0.000058 0.004016 0.001579 1.000 2
length{all}[47] 0.001078 0.000001 0.000004 0.002580 0.000905 1.000 2
length{all}[48] 0.000991 0.000001 0.000000 0.002462 0.000823 1.000 2
length{all}[49] 0.000921 0.000001 0.000000 0.002362 0.000744 0.999 2
length{all}[50] 0.000993 0.000001 0.000009 0.002394 0.000830 1.000 2
length{all}[51] 0.000483 0.000000 0.000001 0.001509 0.000319 1.000 2
length{all}[52] 0.000484 0.000000 0.000001 0.001396 0.000326 0.999 2
length{all}[53] 0.000500 0.000000 0.000001 0.001504 0.000339 0.999 2
length{all}[54] 0.001091 0.000001 0.000006 0.002436 0.000967 0.999 2
length{all}[55] 0.000481 0.000000 0.000002 0.001531 0.000343 0.999 2
length{all}[56] 0.000801 0.000000 0.000003 0.002068 0.000620 0.999 2
length{all}[57] 0.000496 0.000000 0.000000 0.001569 0.000348 1.000 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 = 0.002565
Maximum standard deviation of split frequencies = 0.009893
Average PSRF for parameter values (excluding NA and >10.0) = 1.000
Maximum PSRF for parameter values = 1.002
Clade credibility values:
/--------------------------------------------------------------------- C208 (1)
|
|--------------------------------------------------------------------- C213 (15)
|
| /--------------- C270 (2)
| |
| /----------88----------+ /-------- C280 (8)
| | | |
| | \--98--+-------- C73 (12)
| | |
| | \-------- C72 (25)
| /--100--+
| | | /------------------------------- C112 (4)
| | | |
| | | | /-------- C246 (7)
| | | | /--100-+
| | \--98--+ | \-------- C258 (20)
| | | /---67--+
| /--100--+ | | \--------------- C223 (18)
+ | | \--100--+
| | | | /-------- C230 (19)
| | | \------61------+
| | | \-------- C122 (22)
| /--100-+ |
| | | \---------------------------------------------- C53 (10)
| | |
| | | /-------- C217 (16)
| | \----------------------94---------------------+
| | \-------- C130 (23)
| |
| | /------------------------------- C50 (3)
| | |
| | | /----------------------- C38 (9)
| | | |
| | | | /-------- C287 (11)
| | | |------100-----+
| | /--100-+ | \-------- C136 (27)
| | | | |
\--100--+ | | |----------------------- C44 (13)
| | | |
| | | | /--------------- C151 (17)
| | | | |
| | \--100--+---95--+ /-------- C77 (28)
| | | \--100-+
| | | \-------- C79 (29)
| | |
| /---99--+ |----------------------- C30 (21)
| | | |
| | | |----------------------- C131 (24)
| | | |
| | | |----------------------- C31 (26)
| | | |
\------100-----+ | \----------------------- C84 (30)
| |
| | /-------- C199 (6)
| \--------------65-------------+
| \-------- C182 (14)
|
\---------------------------------------------- C174 (5)
Phylogram (based on average branch lengths):
/--------- C208 (1)
|
|--------- C213 (15)
|
| /--- C270 (2)
| |
| /-+ /--- C280 (8)
| | | |
| | \-+-- C73 (12)
| | |
| | \--- C72 (25)
| /---+
| | | /--------- C112 (4)
| | | |
| | | | /---- C246 (7)
| | | | /---+
| | \--+ | \--- C258 (20)
| | | /+
| /---+ | |\-------- C223 (18)
+ | | \--+
| | | |/-- C230 (19)
| | | \+
| | | \-------- C122 (22)
| /-----------------+ |
| | | \------------------- C53 (10)
| | |
| | | /----- C217 (16)
| | \--+
| | \-- C130 (23)
| |
| | /- C50 (3)
| | |
| | | / C38 (9)
| | | |
| | | | /-- C287 (11)
| | | |-+
| | /-----+ | \- C136 (27)
| | | | |
\-------------------+ | | |- C44 (13)
| | | |
| | | |/- C151 (17)
| | | ||
| | \-++ /- C77 (28)
| | |\--+
| | | \- C79 (29)
| | |
| /---+ |- C30 (21)
| | | |
| | | |-- C131 (24)
| | | |
| | | |- C31 (26)
| | | |
\--------------------------------+ | \- C84 (30)
| |
| | /-- C199 (6)
| \-+
| \ C182 (14)
|
\------ C174 (5)
|-------| 0.005 expected changes per site
Calculating tree probabilities...
Credible sets of trees (3001 trees sampled):
50 % credible set contains 1500 trees
90 % credible set contains 2701 trees
95 % credible set contains 2851 trees
99 % credible set contains 2971 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 14:39:22 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_L2_VIPR_ALG4_QEY10630_1_939_2753_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Sat Nov 19 06:00:47 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_L2_VIPR_ALG4_QEY10630_1_939_2753_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/codeml,DcCoV_HKU23_camel_Morocco_CAC2586_2016_L2_VIPR_ALG4_QEY10630_1_939_2753_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 C182 1815 sites
reading seq# 2 C217 1815 sites
reading seq# 3 C213 1815 sites
reading seq# 4 C287 1815 sites
reading seq# 5 C223 1815 sites
reading seq# 6 C151 1815 sites
reading seq# 7 C230 1815 sites
reading seq# 8 C44 1815 sites
reading seq# 9 C77 1815 sites
reading seq#10 C258 1815 sites
reading seq#11 C270 1815 sites
reading seq#12 C208 1815 sites
reading seq#13 C50 1815 sites
reading seq#14 C30 1815 sites
reading seq#15 C122 1815 sites
reading seq#16 C174 1815 sites
reading seq#17 C112 1815 sites
reading seq#18 C199 1815 sites
reading seq#19 C131 1815 sites
reading seq#20 C130 1815 sites
reading seq#21 C280 1815 sites
reading seq#22 C246 1815 sites
reading seq#23 C31 1815 sites
reading seq#24 C136 1815 sites
reading seq#25 C72 1815 sites
reading seq#26 C53 1815 sites
reading seq#27 C38 1815 sites
reading seq#28 C84 1815 sites
reading seq#29 C79 1815 sites
reading seq#30 C73 1815 sitesns = 30 ls = 1815
Reading sequences, sequential format..
Reading seq # 1: C182
Reading seq # 2: C217
Reading seq # 3: C213
Reading seq # 4: C287
Reading seq # 5: C223
Reading seq # 6: C151
Reading seq # 7: C230
Reading seq # 8: C44
Reading seq # 9: C77
Reading seq #10: C258
Reading seq #11: C270
Reading seq #12: C208
Reading seq #13: C50
Reading seq #14: C30
Reading seq #15: C122
Reading seq #16: C174
Reading seq #17: C112
Reading seq #18: C199
Reading seq #19: C131
Reading seq #20: C130
Reading seq #21: C280
Reading seq #22: C246
Reading seq #23: C31
Reading seq #24: C136
Reading seq #25: C72
Reading seq #26: C53
Reading seq #27: C38
Reading seq #28: C84
Reading seq #29: C79
Reading seq #30: C73
Sequences read..
Counting site patterns.. 0:00
Compressing, 206 patterns at 605 / 605 sites (100.0%), 0:00
Collecting fpatt[] & pose[], 206 patterns at 605 / 605 sites (100.0%), 0:00
Counting codons..
3480 bytes for distance
201056 bytes for conP
18128 bytes for fhK
5000000 bytes for space
Model 1: NearlyNeutral
TREE # 1
(12, 3, (((((11, (21, 30, 25)), (17, (((22, 10), 5), (7, 15)))), 26), (2, 20)), (((13, (27, (4, 24), 8, (6, (9, 29)), 14, 19, 23, 28)), (18, 1)), 16))); MP score: 226
2111088 bytes for conP, adjusted
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
32
0.030045 0.024346 0.061332 0.037461 0.013445 0.074274 0.078278 0.029992 0.057667 0.050627 0.074561 0.076041 0.085291 0.080633 0.062856 0.102525 0.048764 0.092632 0.054088 0.026620 0.047706 0.049224 0.070000 0.055455 0.072288 0.100628 0.074761 0.064628 0.077369 0.019201 0.017806 0.053954 0.067086 0.051044 0.055098 0.053913 0.044578 0.095630 0.090987 0.031204 0.056540 0.099407 0.057874 0.016866 0.037279 0.024293 0.025840 0.055393 0.031975 0.027019 0.300000 0.897830 0.291406
ntime & nrate & np: 50 2 53
Bounds (np=53):
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 999.000000 0.999990 1.000000
Qfactor_NS = 14.131602
np = 53
lnL0 = -5097.566003
Iterating by ming2
Initial: fx= 5097.566003
x= 0.03005 0.02435 0.06133 0.03746 0.01345 0.07427 0.07828 0.02999 0.05767 0.05063 0.07456 0.07604 0.08529 0.08063 0.06286 0.10253 0.04876 0.09263 0.05409 0.02662 0.04771 0.04922 0.07000 0.05546 0.07229 0.10063 0.07476 0.06463 0.07737 0.01920 0.01781 0.05395 0.06709 0.05104 0.05510 0.05391 0.04458 0.09563 0.09099 0.03120 0.05654 0.09941 0.05787 0.01687 0.03728 0.02429 0.02584 0.05539 0.03198 0.02702 0.30000 0.89783 0.29141
1 h-m-p 0.0000 0.0000 3256.2393 ++ 4716.888066 m 0.0000 58 | 0/53
2 h-m-p 0.0000 0.0000 131087.4192 +CYYCCC 4688.038403 5 0.0000 124 | 0/53
3 h-m-p 0.0000 0.0000 162914.1761 ++ 4617.760301 m 0.0000 180 | 0/53
4 h-m-p 0.0000 0.0000 147189.6553 ++ 4586.607437 m 0.0000 236 | 0/53
5 h-m-p 0.0000 0.0000 109262.7861 ++ 4575.261217 m 0.0000 292 | 0/53
6 h-m-p 0.0000 0.0000 106743.8233 ++ 4535.356010 m 0.0000 348 | 1/53
7 h-m-p 0.0000 0.0000 13324.8723 ++ 4423.069782 m 0.0000 404 | 1/53
8 h-m-p 0.0000 0.0000 143161.5599 ++ 4351.648348 m 0.0000 460 | 1/53
9 h-m-p 0.0000 0.0000 103961.7088 ++ 4311.275228 m 0.0000 516 | 1/53
10 h-m-p 0.0000 0.0000 64716.8003 ++ 4295.650276 m 0.0000 572 | 2/53
11 h-m-p 0.0000 0.0000 7754.7261 ++ 4272.996860 m 0.0000 628 | 3/53
12 h-m-p 0.0000 0.0000 5709.4590 ++ 4226.271520 m 0.0000 684 | 3/53
13 h-m-p 0.0000 0.0000 98470.8176 ++ 4216.931835 m 0.0000 740 | 4/53
14 h-m-p 0.0000 0.0000 7892.0475 ++ 4146.822028 m 0.0000 796 | 4/53
15 h-m-p 0.0000 0.0000 17803.0493 YCYCCC 4145.245049 5 0.0000 860 | 4/53
16 h-m-p 0.0000 0.0000 9440.1204 ++ 4130.005041 m 0.0000 916 | 5/53
17 h-m-p 0.0000 0.0000 4694.5924 ++ 4113.732737 m 0.0000 972 | 6/53
18 h-m-p 0.0000 0.0000 4416.2655 +YYYYYC 4111.238914 5 0.0000 1034 | 6/53
19 h-m-p 0.0000 0.0000 5136.1765 +CYYYC 4104.182014 4 0.0000 1096 | 6/53
20 h-m-p 0.0000 0.0000 1526.0106 +YYYC 4097.838492 3 0.0000 1156 | 6/53
21 h-m-p 0.0000 0.0000 22496.0819 YCCCC 4094.784441 4 0.0000 1219 | 6/53
22 h-m-p 0.0000 0.0000 5705.2619 YCYCCC 4091.115950 5 0.0000 1283 | 6/53
23 h-m-p 0.0000 0.0000 3207.8147 +YYCCCC 4070.184263 5 0.0000 1348 | 6/53
24 h-m-p 0.0000 0.0000 6971.5732 YCYCCC 4058.668999 5 0.0000 1412 | 6/53
25 h-m-p 0.0000 0.0000 9849.4256 +YYCCC 4040.525474 4 0.0000 1475 | 6/53
26 h-m-p 0.0000 0.0000 9898.0323 CYCCC 4032.519772 4 0.0000 1538 | 6/53
27 h-m-p 0.0000 0.0000 1656.1525 CCCC 4030.518651 3 0.0000 1600 | 6/53
28 h-m-p 0.0000 0.0000 876.1960 YCCCC 4027.750108 4 0.0000 1663 | 6/53
29 h-m-p 0.0000 0.0000 3885.7151 +YCCCC 4017.422346 4 0.0000 1727 | 6/53
30 h-m-p 0.0000 0.0000 13341.6315 +YCCCC 4006.135165 4 0.0000 1791 | 6/53
31 h-m-p 0.0000 0.0000 11447.7425 +YYCCC 3981.203369 4 0.0000 1854 | 6/53
32 h-m-p 0.0000 0.0000 8414.3800 +YYYCCC 3963.199193 5 0.0000 1918 | 6/53
33 h-m-p 0.0000 0.0000 4463.8212 +YCCC 3954.253302 3 0.0000 1980 | 6/53
34 h-m-p 0.0000 0.0000 1626.1970 +YYYCCC 3950.389555 5 0.0000 2044 | 6/53
35 h-m-p 0.0000 0.0000 1283.1239 YCYC 3948.696514 3 0.0000 2104 | 6/53
36 h-m-p 0.0000 0.0001 394.9381 YCCCC 3947.880597 4 0.0000 2167 | 6/53
37 h-m-p 0.0001 0.0003 69.2564 YCC 3947.792812 2 0.0000 2226 | 6/53
38 h-m-p 0.0001 0.0005 49.2251 CC 3947.724315 1 0.0001 2284 | 6/53
39 h-m-p 0.0001 0.0007 54.7678 CC 3947.643968 1 0.0001 2342 | 6/53
40 h-m-p 0.0001 0.0003 62.2865 YC 3947.593987 1 0.0000 2399 | 6/53
41 h-m-p 0.0001 0.0013 30.9875 +YCC 3947.336519 2 0.0002 2459 | 6/53
42 h-m-p 0.0001 0.0007 46.8034 +YCC 3945.602711 2 0.0003 2519 | 6/53
43 h-m-p 0.0000 0.0001 223.8438 ++ 3943.544838 m 0.0001 2575 | 6/53
44 h-m-p -0.0000 -0.0000 214.0638
h-m-p: -1.13222582e-21 -5.66112912e-21 2.14063844e+02 3943.544838
.. | 6/53
45 h-m-p 0.0000 0.0000 197297.3379 --YYCYCCC 3936.044411 6 0.0000 2695 | 6/53
46 h-m-p 0.0000 0.0000 5478.2849 YYCYCCC 3929.563449 6 0.0000 2761 | 6/53
47 h-m-p 0.0000 0.0000 1140.7651 +YYCCC 3924.055200 4 0.0000 2824 | 6/53
48 h-m-p 0.0000 0.0000 1053.2999 +YYCCC 3922.387275 4 0.0000 2887 | 6/53
49 h-m-p 0.0000 0.0000 1551.2796 +YCCC 3920.311433 3 0.0000 2949 | 6/53
50 h-m-p 0.0000 0.0000 1048.6828 +YCCCC 3918.270238 4 0.0000 3013 | 6/53
51 h-m-p 0.0000 0.0000 1076.3061 CCCC 3917.535525 3 0.0000 3075 | 6/53
52 h-m-p 0.0000 0.0001 360.7409 CCCC 3916.935591 3 0.0000 3137 | 6/53
53 h-m-p 0.0000 0.0001 505.4416 +YCCC 3915.624369 3 0.0000 3199 | 6/53
54 h-m-p 0.0000 0.0000 1020.3755 CYC 3915.173184 2 0.0000 3258 | 6/53
55 h-m-p 0.0000 0.0000 460.7902 CCCC 3914.799161 3 0.0000 3320 | 6/53
56 h-m-p 0.0000 0.0001 534.8537 YCCC 3914.614395 3 0.0000 3381 | 6/53
57 h-m-p 0.0000 0.0001 336.7529 YC 3914.332675 1 0.0000 3438 | 6/53
58 h-m-p 0.0000 0.0001 419.2785 CCC 3914.056173 2 0.0000 3498 | 6/53
59 h-m-p 0.0000 0.0001 403.5327 CCC 3913.767396 2 0.0000 3558 | 6/53
60 h-m-p 0.0000 0.0000 934.0818 YCCC 3913.015817 3 0.0000 3619 | 6/53
61 h-m-p 0.0000 0.0000 1782.5013 CCC 3912.492288 2 0.0000 3679 | 6/53
62 h-m-p 0.0000 0.0001 1361.2621 YCCC 3911.286241 3 0.0000 3740 | 6/53
63 h-m-p 0.0000 0.0001 2689.5966 +YYCCC 3907.410559 4 0.0000 3803 | 6/53
64 h-m-p 0.0000 0.0000 11965.8279 YCYC 3900.251151 3 0.0000 3863 | 6/53
65 h-m-p 0.0000 0.0000 12344.8656 +YYYYCCCC 3889.086931 7 0.0000 3930 | 6/53
66 h-m-p 0.0000 0.0000 26076.9020 +YYCCC 3886.391596 4 0.0000 3993 | 6/53
67 h-m-p 0.0000 0.0000 19188.4496 +YCYCC 3884.233538 4 0.0000 4056 | 6/53
68 h-m-p 0.0000 0.0000 5865.1924 YCYC 3881.566546 3 0.0000 4116 | 6/53
69 h-m-p 0.0000 0.0001 2251.4841 +YCCC 3879.103465 3 0.0000 4178 | 6/53
70 h-m-p 0.0000 0.0000 4999.9676 YCCC 3878.268810 3 0.0000 4239 | 6/53
71 h-m-p 0.0000 0.0000 1462.4480 CCCC 3877.655642 3 0.0000 4301 | 6/53
72 h-m-p 0.0000 0.0000 2072.7502 CCC 3877.346228 2 0.0000 4361 | 6/53
73 h-m-p 0.0000 0.0001 1088.7979 YC 3876.624476 1 0.0000 4418 | 6/53
74 h-m-p 0.0000 0.0001 944.6366 CCC 3875.571223 2 0.0000 4478 | 6/53
75 h-m-p 0.0000 0.0001 1078.2260 CCCC 3874.479996 3 0.0000 4540 | 6/53
76 h-m-p 0.0000 0.0001 1339.6613 CCC 3873.293089 2 0.0000 4600 | 6/53
77 h-m-p 0.0000 0.0001 1626.2980 YCCCC 3871.205337 4 0.0000 4663 | 6/53
78 h-m-p 0.0000 0.0001 2588.1535 CCCC 3869.911022 3 0.0000 4725 | 6/53
79 h-m-p 0.0000 0.0001 1128.4757 CCY 3868.985912 2 0.0000 4785 | 6/53
80 h-m-p 0.0000 0.0001 944.4860 CCC 3868.595318 2 0.0000 4845 | 6/53
81 h-m-p 0.0000 0.0003 298.4274 YCC 3868.305304 2 0.0000 4904 | 6/53
82 h-m-p 0.0000 0.0002 289.7926 YC 3868.178294 1 0.0000 4961 | 6/53
83 h-m-p 0.0000 0.0002 281.9836 CC 3868.017293 1 0.0000 5019 | 6/53
84 h-m-p 0.0000 0.0001 202.7214 YC 3867.980596 1 0.0000 5076 | 6/53
85 h-m-p 0.0001 0.0011 37.0402 YC 3867.971689 1 0.0000 5133 | 6/53
86 h-m-p 0.0001 0.0044 10.6020 YC 3867.969136 1 0.0000 5190 | 6/53
87 h-m-p 0.0001 0.0027 8.5401 YC 3867.968327 1 0.0000 5247 | 6/53
88 h-m-p 0.0000 0.0025 7.8651 C 3867.967687 0 0.0000 5303 | 6/53
89 h-m-p 0.0000 0.0060 6.6475 YC 3867.966269 1 0.0000 5360 | 6/53
90 h-m-p 0.0001 0.0028 3.2051 CC 3867.961241 1 0.0001 5418 | 6/53
91 h-m-p 0.0000 0.0039 32.5223 +++CCCCC 3867.341010 4 0.0011 5485 | 6/53
92 h-m-p 0.0000 0.0004 2769.9803 ++YYCCC 3859.953583 4 0.0002 5549 | 6/53
93 h-m-p 0.6151 3.0753 0.6251 YCC 3853.219331 2 1.2295 5608 | 6/53
94 h-m-p 0.5276 2.6378 0.5939 YCCC 3849.698683 3 1.1248 5716 | 6/53
95 h-m-p 0.8394 4.1969 0.4572 YCCC 3846.908164 3 1.8036 5824 | 6/53
96 h-m-p 1.4212 7.1058 0.3087 CC 3846.088985 1 1.6282 5929 | 6/53
97 h-m-p 1.6000 8.0000 0.2537 YCC 3845.862542 2 1.1589 6035 | 6/53
98 h-m-p 1.6000 8.0000 0.1295 YC 3845.807034 1 1.1459 6139 | 6/53
99 h-m-p 1.6000 8.0000 0.0505 CC 3845.789376 1 1.4694 6244 | 6/53
100 h-m-p 1.6000 8.0000 0.0256 CC 3845.771208 1 2.1825 6349 | 6/53
101 h-m-p 1.6000 8.0000 0.0021 CC 3845.749638 1 2.4078 6454 | 6/53
102 h-m-p 0.6588 8.0000 0.0076 +YC 3845.701889 1 4.5255 6559 | 6/53
103 h-m-p 1.6000 8.0000 0.0140 +YC 3845.500324 1 4.8759 6664 | 6/53
104 h-m-p 0.9541 4.7706 0.0018 YCYCCC 3845.058825 5 2.3968 6775 | 6/53
105 h-m-p 0.3885 7.9275 0.0114 +YYC 3844.874555 2 1.4173 6881 | 6/53
106 h-m-p 1.6000 8.0000 0.0025 CYC 3844.821806 2 1.4056 6987 | 6/53
107 h-m-p 0.2196 8.0000 0.0162 +CC 3844.811660 1 0.9923 7093 | 6/53
108 h-m-p 1.5182 8.0000 0.0106 YC 3844.809702 1 0.6158 7197 | 6/53
109 h-m-p 1.1128 8.0000 0.0058 C 3844.809231 0 0.9412 7300 | 6/53
110 h-m-p 1.6000 8.0000 0.0025 C 3844.809154 0 1.3358 7403 | 6/53
111 h-m-p 1.6000 8.0000 0.0009 Y 3844.809146 0 1.1594 7506 | 6/53
112 h-m-p 1.6000 8.0000 0.0001 Y 3844.809145 0 1.2437 7609 | 6/53
113 h-m-p 1.6000 8.0000 0.0000 Y 3844.809145 0 1.2514 7712 | 6/53
114 h-m-p 0.3493 8.0000 0.0000 -C 3844.809145 0 0.0218 7816 | 6/53
115 h-m-p 0.0160 8.0000 0.0003 --Y 3844.809145 0 0.0003 7921 | 6/53
116 h-m-p 0.0160 8.0000 0.0000 -------------.. | 6/53
117 h-m-p 0.0002 0.0903 0.0533 ---------- | 6/53
118 h-m-p 0.0002 0.0903 0.0533 ----------
Out..
lnL = -3844.809145
8258 lfun, 24774 eigenQcodon, 825800 P(t)
end of tree file.
Time used: 6:47
Model 2: PositiveSelection
TREE # 1
(12, 3, (((((11, (21, 30, 25)), (17, (((22, 10), 5), (7, 15)))), 26), (2, 20)), (((13, (27, (4, 24), 8, (6, (9, 29)), 14, 19, 23, 28)), (18, 1)), 16))); MP score: 226
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
32
0.053834 0.060244 0.013950 0.040452 0.104800 0.081387 0.037895 0.072977 0.064549 0.030112 0.024658 0.100553 0.027410 0.010401 0.029746 0.047162 0.041945 0.088157 0.046266 0.048347 0.082833 0.090267 0.105672 0.103552 0.059781 0.066075 0.046002 0.036956 0.043128 0.047185 0.014771 0.040239 0.060832 0.016551 0.048730 0.045719 0.096538 0.072775 0.047662 0.053304 0.093404 0.050564 0.034409 0.109681 0.043380 0.033266 0.068321 0.013191 0.016616 0.068445 6.344112 1.243062 0.514169 0.302810 1.462279
ntime & nrate & np: 50 3 55
Bounds (np=55):
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 999.000000 99.000000 99.000000 1.000000 999.000000
Qfactor_NS = 2.517273
np = 55
lnL0 = -4682.314297
Iterating by ming2
Initial: fx= 4682.314297
x= 0.05383 0.06024 0.01395 0.04045 0.10480 0.08139 0.03789 0.07298 0.06455 0.03011 0.02466 0.10055 0.02741 0.01040 0.02975 0.04716 0.04194 0.08816 0.04627 0.04835 0.08283 0.09027 0.10567 0.10355 0.05978 0.06607 0.04600 0.03696 0.04313 0.04718 0.01477 0.04024 0.06083 0.01655 0.04873 0.04572 0.09654 0.07278 0.04766 0.05330 0.09340 0.05056 0.03441 0.10968 0.04338 0.03327 0.06832 0.01319 0.01662 0.06845 6.34411 1.24306 0.51417 0.30281 1.46228
1 h-m-p 0.0000 0.0000 2649.1799 ++ 4430.276562 m 0.0000 115 | 1/55
2 h-m-p 0.0000 0.0000 5829.4875 ++ 4221.406222 m 0.0000 228 | 1/55
3 h-m-p 0.0000 0.0000 88347.3606 +YYCCC 4218.314033 4 0.0000 347 | 1/55
4 h-m-p 0.0000 0.0000 151388.9788 +YYYYYCCC 4215.648453 7 0.0000 469 | 1/55
5 h-m-p 0.0000 0.0000 86659.2776 ++ 4211.978438 m 0.0000 581 | 1/55
6 h-m-p 0.0000 0.0000 75124.7825 ++ 4189.599555 m 0.0000 693 | 1/55
7 h-m-p 0.0000 0.0000 40794.1316 ++ 4160.288664 m 0.0000 805 | 2/55
8 h-m-p 0.0000 0.0000 8677.5489 ++ 4156.814119 m 0.0000 917 | 2/55
9 h-m-p 0.0000 0.0000 24512.8793 ++ 4147.251461 m 0.0000 1028 | 3/55
10 h-m-p 0.0000 0.0000 56067.6610 ++ 4129.393632 m 0.0000 1139 | 4/55
11 h-m-p 0.0000 0.0000 22412.4773 ++ 4078.297308 m 0.0000 1249 | 5/55
12 h-m-p 0.0000 0.0000 275327.2886 ++ 4022.226385 m 0.0000 1358 | 5/55
13 h-m-p 0.0000 0.0000 16855.6520 ++ 4006.431934 m 0.0000 1466 | 5/55
14 h-m-p 0.0000 0.0000 8631.0225
h-m-p: 5.58529970e-23 2.79264985e-22 8.63102253e+03 4006.431934
.. | 5/55
15 h-m-p 0.0000 0.0000 520890.5485 ---YYCYCCC 3999.508156 6 0.0000 1691 | 5/55
16 h-m-p 0.0000 0.0000 8566.0614 YYCYYCCC 3986.032496 7 0.0000 1810 | 5/55
17 h-m-p 0.0000 0.0000 1593.8547 ++ 3954.982894 m 0.0000 1918 | 5/55
18 h-m-p 0.0000 0.0000 34054.3847 ++ 3949.552191 m 0.0000 2026 | 5/55
19 h-m-p 0.0000 0.0000 11683.1742 ++ 3942.671927 m 0.0000 2134 | 6/55
20 h-m-p 0.0000 0.0000 3570.4127 +CYYCC 3934.005737 4 0.0000 2250 | 6/55
21 h-m-p 0.0000 0.0000 3705.9185 +YYYCCCC 3930.356888 6 0.0000 2367 | 6/55
22 h-m-p 0.0000 0.0000 5511.2492 +YYYCCC 3928.262284 5 0.0000 2482 | 6/55
23 h-m-p 0.0000 0.0000 3458.5972 +YYCCCC 3920.134511 5 0.0000 2598 | 6/55
24 h-m-p 0.0000 0.0000 4001.3520 YCCCC 3918.607276 4 0.0000 2712 | 6/55
25 h-m-p 0.0000 0.0000 1066.2433 +YCYCCC 3916.798753 5 0.0000 2828 | 6/55
26 h-m-p 0.0000 0.0000 1646.0773 YCCCC 3914.535876 4 0.0000 2942 | 6/55
27 h-m-p 0.0000 0.0000 615.2603 YCCC 3913.486706 3 0.0000 3054 | 6/55
28 h-m-p 0.0000 0.0000 985.8634 YCCC 3912.693960 3 0.0000 3166 | 6/55
29 h-m-p 0.0000 0.0000 1060.5689 CCCC 3911.576597 3 0.0000 3279 | 6/55
30 h-m-p 0.0000 0.0001 680.4884 +YYCCC 3908.511114 4 0.0000 3393 | 6/55
31 h-m-p 0.0000 0.0000 2348.7147 CCC 3907.503071 2 0.0000 3504 | 6/55
32 h-m-p 0.0000 0.0000 1024.5497 +YYYCCC 3905.058515 5 0.0000 3619 | 6/55
33 h-m-p 0.0000 0.0000 4791.8581 +YCCC 3901.453609 3 0.0000 3732 | 6/55
34 h-m-p 0.0000 0.0000 4654.2512 ++ 3896.390580 m 0.0000 3839 | 7/55
35 h-m-p 0.0000 0.0000 2422.0979 +YYCYC 3893.377568 4 0.0000 3952 | 7/55
36 h-m-p 0.0000 0.0000 2703.2711 +YYCCC 3891.655512 4 0.0000 4065 | 7/55
37 h-m-p 0.0000 0.0000 2407.1612 +YCCC 3890.072200 3 0.0000 4177 | 7/55
38 h-m-p 0.0000 0.0000 813.7051 +YYCCC 3888.773990 4 0.0000 4290 | 7/55
39 h-m-p 0.0000 0.0000 1884.2492 CYCC 3887.766581 3 0.0000 4401 | 7/55
40 h-m-p 0.0000 0.0001 489.6450 CCCC 3886.819575 3 0.0000 4513 | 7/55
41 h-m-p 0.0000 0.0001 308.0343 YCCC 3886.172137 3 0.0000 4624 | 7/55
42 h-m-p 0.0000 0.0001 315.8479 CCCC 3885.882208 3 0.0000 4736 | 7/55
43 h-m-p 0.0000 0.0006 144.0815 CC 3885.673810 1 0.0001 4844 | 7/55
44 h-m-p 0.0000 0.0003 150.8932 CYC 3885.505751 2 0.0000 4953 | 7/55
45 h-m-p 0.0000 0.0004 277.5986 YC 3885.216509 1 0.0000 5060 | 7/55
46 h-m-p 0.0000 0.0002 421.8791 CCCC 3884.739388 3 0.0001 5172 | 7/55
47 h-m-p 0.0000 0.0002 707.8057 YCCC 3883.834159 3 0.0001 5283 | 7/55
48 h-m-p 0.0000 0.0002 1454.7635 YCCC 3882.209923 3 0.0001 5394 | 7/55
49 h-m-p 0.0000 0.0001 2361.2392 YCCC 3880.462063 3 0.0000 5505 | 7/55
50 h-m-p 0.0000 0.0002 1930.7465 +YYCCC 3875.304474 4 0.0001 5618 | 7/55
51 h-m-p 0.0000 0.0001 8360.0851 CC 3871.838886 1 0.0000 5726 | 7/55
52 h-m-p 0.0000 0.0001 1703.3958 CCCC 3870.890440 3 0.0000 5838 | 7/55
53 h-m-p 0.0001 0.0003 155.3584 YCC 3870.798378 2 0.0000 5947 | 6/55
54 h-m-p 0.0000 0.0008 254.0089 +YYCCC 3867.920075 4 0.0001 6060 | 6/55
55 h-m-p 0.0000 0.0002 154.7625 YCC 3867.754385 2 0.0000 6170 | 6/55
56 h-m-p 0.0001 0.0008 41.7667 CC 3867.733351 1 0.0000 6279 | 6/55
57 h-m-p 0.0001 0.0024 16.2845 CC 3867.726198 1 0.0001 6388 | 6/55
58 h-m-p 0.0000 0.0043 32.1733 ++YC 3867.661996 1 0.0003 6498 | 6/55
59 h-m-p 0.0000 0.0007 255.5157 ++CCC 3866.471961 2 0.0006 6611 | 6/55
60 h-m-p 0.0000 0.0000 6676.7687 ++ 3866.184562 m 0.0000 6718 | 7/55
61 h-m-p 0.0000 0.0001 932.5191 YCCC 3865.820427 3 0.0000 6830 | 7/55
62 h-m-p 0.0003 0.0013 27.6408 YC 3865.807944 1 0.0000 6937 | 7/55
63 h-m-p 0.0022 1.0921 0.5339 ++++YYCCC 3860.132516 4 0.4917 7053 | 7/55
64 h-m-p 0.1319 0.6594 1.3439 YCCC 3853.936059 3 0.2816 7164 | 7/55
65 h-m-p 0.3904 1.9519 0.3712 YCCC 3851.162028 3 0.9381 7275 | 7/55
66 h-m-p 0.3254 1.6269 0.7165 CCCC 3850.203477 3 0.4596 7387 | 7/55
67 h-m-p 0.3946 1.9729 0.5498 CCCC 3848.585582 3 0.5581 7499 | 7/55
68 h-m-p 0.6160 3.0799 0.4144 CCC 3847.490695 2 0.9719 7609 | 6/55
69 h-m-p 0.2629 2.3843 1.5324 CYC 3846.954058 2 0.3374 7718 | 6/55
70 h-m-p 0.3525 1.7625 0.5651 YCCCC 3846.237050 4 0.7782 7832 | 6/55
71 h-m-p 0.5769 2.8844 0.6364 CYC 3845.881098 2 0.5484 7942 | 6/55
72 h-m-p 0.6794 3.3972 0.4679 CCC 3845.537319 2 0.7228 8053 | 6/55
73 h-m-p 1.6000 8.0000 0.1458 YCC 3845.319988 2 1.2541 8163 | 6/55
74 h-m-p 0.5653 8.0000 0.3235 +YC 3845.119108 1 1.4374 8272 | 6/55
75 h-m-p 1.2347 8.0000 0.3766 CYC 3844.961515 2 1.5488 8382 | 6/55
76 h-m-p 1.2712 8.0000 0.4589 YCCC 3844.703442 3 2.2626 8494 | 6/55
77 h-m-p 0.6032 8.0000 1.7213 CCCC 3844.387499 3 0.8647 8607 | 6/55
78 h-m-p 1.6000 8.0000 0.4868 YYC 3844.042969 2 1.4194 8716 | 6/55
79 h-m-p 1.3208 6.6041 0.2015 YYC 3843.878920 2 1.0833 8825 | 6/55
80 h-m-p 0.5298 7.9607 0.4120 +YYC 3843.656805 2 1.7460 8935 | 6/55
81 h-m-p 1.6000 8.0000 0.4234 CCC 3843.402131 2 1.8976 9046 | 6/55
82 h-m-p 0.8471 8.0000 0.9485 YC 3843.039423 1 1.8943 9154 | 6/55
83 h-m-p 1.3493 6.7465 1.0411 YCCC 3842.835256 3 0.7531 9266 | 6/55
84 h-m-p 0.5437 6.7852 1.4421 YC 3842.668662 1 0.9268 9374 | 6/55
85 h-m-p 1.6000 8.0000 0.6571 CYC 3842.556405 2 1.5095 9484 | 6/55
86 h-m-p 1.4799 8.0000 0.6703 CYC 3842.463905 2 1.6874 9594 | 6/55
87 h-m-p 1.6000 8.0000 0.3789 CC 3842.408226 1 1.4687 9703 | 6/55
88 h-m-p 1.6000 8.0000 0.1260 CY 3842.383746 1 1.7406 9812 | 6/55
89 h-m-p 1.6000 8.0000 0.0137 CC 3842.370427 1 1.8261 9921 | 6/55
90 h-m-p 1.1574 8.0000 0.0216 YC 3842.362648 1 1.8774 10029 | 6/55
91 h-m-p 1.6000 8.0000 0.0071 +CC 3842.347070 1 5.8448 10139 | 6/55
92 h-m-p 1.6000 8.0000 0.0157 ++ 3842.264918 m 8.0000 10246 | 6/55
93 h-m-p 0.6194 8.0000 0.2029 +CC 3842.062302 1 3.3668 10356 | 6/55
94 h-m-p 1.3224 7.5917 0.5166 CCCC 3841.808833 3 2.2236 10469 | 6/55
95 h-m-p 1.6000 8.0000 0.0556 CCC 3841.667425 2 1.8118 10580 | 6/55
96 h-m-p 1.6000 8.0000 0.0321 CYC 3841.602423 2 1.4132 10690 | 6/55
97 h-m-p 0.3158 8.0000 0.1439 +CC 3841.576975 1 1.3904 10800 | 6/55
98 h-m-p 1.6000 8.0000 0.0233 C 3841.568268 0 1.6000 10907 | 6/55
99 h-m-p 1.6000 8.0000 0.0081 YC 3841.565148 1 1.2445 11015 | 6/55
100 h-m-p 0.4781 8.0000 0.0210 +YC 3841.564172 1 1.2841 11124 | 6/55
101 h-m-p 1.5585 8.0000 0.0173 C 3841.563896 0 1.3489 11231 | 6/55
102 h-m-p 1.6000 8.0000 0.0067 C 3841.563690 0 2.1322 11338 | 6/55
103 h-m-p 1.6000 8.0000 0.0035 YC 3841.563376 1 3.1805 11446 | 6/55
104 h-m-p 1.6000 8.0000 0.0022 YC 3841.562802 1 2.9224 11554 | 6/55
105 h-m-p 0.9244 8.0000 0.0070 +YC 3841.561783 1 3.0639 11663 | 6/55
106 h-m-p 1.6000 8.0000 0.0106 +YC 3841.559814 1 4.4120 11772 | 6/55
107 h-m-p 1.6000 8.0000 0.0150 YC 3841.554971 1 3.8552 11880 | 6/55
108 h-m-p 1.6000 8.0000 0.0071 YC 3841.544844 1 3.6508 11988 | 6/55
109 h-m-p 0.6471 8.0000 0.0403 +YC 3841.539200 1 2.1625 12097 | 6/55
110 h-m-p 1.6000 8.0000 0.0294 C 3841.538020 0 1.7469 12204 | 6/55
111 h-m-p 1.6000 8.0000 0.0199 C 3841.537860 0 1.4524 12311 | 6/55
112 h-m-p 1.6000 8.0000 0.0028 Y 3841.537852 0 1.2183 12418 | 6/55
113 h-m-p 1.6000 8.0000 0.0002 C 3841.537851 0 1.3399 12525 | 6/55
114 h-m-p 1.6000 8.0000 0.0001 C 3841.537851 0 1.4056 12632 | 6/55
115 h-m-p 0.5229 8.0000 0.0002 +C 3841.537851 0 2.6444 12740 | 6/55
116 h-m-p 1.6000 8.0000 0.0002 ---Y 3841.537851 0 0.0063 12850 | 6/55
117 h-m-p 0.0160 8.0000 0.0013 -------------.. | 6/55
118 h-m-p 0.0001 0.0391 0.0847 ---------
Out..
lnL = -3841.537851
13083 lfun, 52332 eigenQcodon, 1962450 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) = -3855.488446 S = -3660.407215 -229.826049
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 206 patterns 22:56
did 20 / 206 patterns 22:56
did 30 / 206 patterns 22:56
did 40 / 206 patterns 22:56
did 50 / 206 patterns 22:56
did 60 / 206 patterns 22:56
did 70 / 206 patterns 22:56
did 80 / 206 patterns 22:56
did 90 / 206 patterns 22:56
did 100 / 206 patterns 22:56
did 110 / 206 patterns 22:56
did 120 / 206 patterns 22:56
did 130 / 206 patterns 22:56
did 140 / 206 patterns 22:56
did 150 / 206 patterns 22:56
did 160 / 206 patterns 22:57
did 170 / 206 patterns 22:57
did 180 / 206 patterns 22:57
did 190 / 206 patterns 22:57
did 200 / 206 patterns 22:57
did 206 / 206 patterns 22:57end of tree file.
Time used: 22:57
Model 7: beta
TREE # 1
(12, 3, (((((11, (21, 30, 25)), (17, (((22, 10), 5), (7, 15)))), 26), (2, 20)), (((13, (27, (4, 24), 8, (6, (9, 29)), 14, 19, 23, 28)), (18, 1)), 16))); MP score: 226
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
32
0.064672 0.084817 0.074418 0.084677 0.065957 0.105114 0.035677 0.108195 0.017916 0.091445 0.038366 0.046452 0.086876 0.063139 0.067751 0.023218 0.090621 0.022297 0.019148 0.045975 0.067018 0.094703 0.039543 0.048922 0.033556 0.083922 0.046852 0.026521 0.079989 0.087016 0.056495 0.043494 0.011278 0.095318 0.019994 0.082235 0.033007 0.078702 0.055264 0.063553 0.046470 0.026791 0.023290 0.051693 0.095613 0.095531 0.080880 0.029579 0.083021 0.082578 6.504706 0.241798 1.951995
ntime & nrate & np: 50 1 53
Bounds (np=53):
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 999.000000 99.000000 99.000000
Qfactor_NS = 7.176764
np = 53
lnL0 = -4790.913205
Iterating by ming2
Initial: fx= 4790.913205
x= 0.06467 0.08482 0.07442 0.08468 0.06596 0.10511 0.03568 0.10819 0.01792 0.09145 0.03837 0.04645 0.08688 0.06314 0.06775 0.02322 0.09062 0.02230 0.01915 0.04597 0.06702 0.09470 0.03954 0.04892 0.03356 0.08392 0.04685 0.02652 0.07999 0.08702 0.05649 0.04349 0.01128 0.09532 0.01999 0.08224 0.03301 0.07870 0.05526 0.06355 0.04647 0.02679 0.02329 0.05169 0.09561 0.09553 0.08088 0.02958 0.08302 0.08258 6.50471 0.24180 1.95200
1 h-m-p 0.0000 0.0000 2693.1023 ++ 4610.722222 m 0.0000 111 | 1/53
2 h-m-p 0.0000 0.0000 14823.1374 ++ 4496.372305 m 0.0000 220 | 2/53
3 h-m-p 0.0000 0.0000 66610.4835 ++ 4418.198005 m 0.0000 328 | 3/53
4 h-m-p 0.0000 0.0000 144019.6186 ++ 4323.364060 m 0.0000 435 | 4/53
5 h-m-p 0.0000 0.0000 74149.3452 ++ 4215.085290 m 0.0000 541 | 5/53
6 h-m-p 0.0000 0.0000 29948.9635 ++ 4212.315540 m 0.0000 646 | 6/53
7 h-m-p 0.0000 0.0000 51183.5592 ++ 4138.713833 m 0.0000 750 | 6/53
8 h-m-p 0.0000 0.0000 92085.3090 ++ 4134.860137 m 0.0000 853 | 7/53
9 h-m-p 0.0000 0.0000 24219.8106 ++ 4116.262339 m 0.0000 956 | 7/53
10 h-m-p -0.0000 -0.0000 24414.7242
h-m-p: -0.00000000e+00 -0.00000000e+00 2.44147242e+04 4116.262339
.. | 7/53
11 h-m-p 0.0000 0.0000 250899.3258 --CCYYCYCYC 4111.010346 8 0.0000 1171 | 7/53
12 h-m-p 0.0000 0.0000 2072.0349 ++ 4053.213252 m 0.0000 1273 | 6/53
13 h-m-p 0.0000 0.0000 29927.3618 ++ 4030.292481 m 0.0000 1375 | 6/53
14 h-m-p 0.0000 0.0000 65135.5775 +YCYCCCC 3981.177631 6 0.0000 1490 | 6/53
15 h-m-p 0.0000 0.0000 126555.7746 +CYYYCCCC 3962.270635 7 0.0000 1605 | 6/53
16 h-m-p 0.0000 0.0000 274390.0637 ++ 3956.496371 m 0.0000 1708 | 6/53
17 h-m-p -0.0000 -0.0000 86394.7277
h-m-p: -1.55261995e-25 -7.76309977e-25 8.63947277e+04 3956.496371
.. | 6/53
18 h-m-p 0.0000 0.0000 11950.6775 YYYCCCCC 3942.443398 7 0.0000 1922 | 6/53
19 h-m-p 0.0000 0.0000 2015.2719 ++ 3925.610431 m 0.0000 2025 | 6/53
20 h-m-p 0.0000 0.0000 4117.1230 ++ 3925.530822 m 0.0000 2128 | 7/53
21 h-m-p 0.0000 0.0000 53431.1507 ++ 3916.343146 m 0.0000 2231 | 7/53
22 h-m-p 0.0000 0.0000 8144.7736 ++ 3891.305133 m 0.0000 2333 | 7/53
23 h-m-p 0.0000 0.0000 257585.4965 ++ 3889.324045 m 0.0000 2435 | 7/53
24 h-m-p -0.0000 -0.0000 1772.6890
h-m-p: -7.16119803e-23 -3.58059902e-22 1.77268902e+03 3889.324045
.. | 6/53
25 h-m-p 0.0000 0.0000 329164.3654 ---YYCYYYYC 3884.793464 7 0.0000 2647 | 6/53
26 h-m-p 0.0000 0.0000 1948.4494 +YYCCC 3873.360346 4 0.0000 2757 | 6/53
27 h-m-p 0.0000 0.0000 1472.2046 +YYYYYYC 3867.187215 6 0.0000 2867 | 6/53
28 h-m-p 0.0000 0.0000 2597.0970 +YCYCCC 3863.081320 5 0.0000 2979 | 6/53
29 h-m-p 0.0000 0.0000 1989.8702 +YCCCC 3859.725571 4 0.0000 3090 | 6/53
30 h-m-p 0.0000 0.0000 3101.1412 YCCCC 3856.655565 4 0.0000 3200 | 6/53
31 h-m-p 0.0000 0.0000 792.6928 CCCC 3855.671106 3 0.0000 3309 | 6/53
32 h-m-p 0.0000 0.0000 855.1899 YCCC 3855.081866 3 0.0000 3417 | 6/53
33 h-m-p 0.0000 0.0000 1050.9802 CCCC 3854.403253 3 0.0000 3526 | 6/53
34 h-m-p 0.0000 0.0000 332.1573 CYC 3854.274481 2 0.0000 3632 | 6/53
35 h-m-p 0.0000 0.0000 328.9820 CCC 3854.060826 2 0.0000 3739 | 6/53
36 h-m-p 0.0000 0.0000 561.2921 CC 3853.799247 1 0.0000 3844 | 6/53
37 h-m-p 0.0000 0.0000 394.9475 YCC 3853.687000 2 0.0000 3950 | 6/53
38 h-m-p 0.0000 0.0001 160.3719 YCC 3853.643633 2 0.0000 4056 | 6/53
39 h-m-p 0.0000 0.0001 149.7372 YC 3853.618883 1 0.0000 4160 | 6/53
40 h-m-p 0.0000 0.0001 89.7028 YC 3853.607300 1 0.0000 4264 | 6/53
41 h-m-p 0.0000 0.0001 110.4149 CC 3853.589673 1 0.0000 4369 | 6/53
42 h-m-p 0.0000 0.0001 116.8502 YC 3853.576589 1 0.0000 4473 | 6/53
43 h-m-p 0.0000 0.0004 78.8249 +YC 3853.545593 1 0.0000 4578 | 6/53
44 h-m-p 0.0000 0.0002 170.9708 CC 3853.507901 1 0.0000 4683 | 6/53
45 h-m-p 0.0000 0.0001 369.7660 C 3853.466978 0 0.0000 4786 | 6/53
46 h-m-p 0.0000 0.0001 350.6154 YC 3853.441912 1 0.0000 4890 | 6/53
47 h-m-p 0.0000 0.0004 162.8427 CC 3853.405655 1 0.0000 4995 | 6/53
48 h-m-p 0.0000 0.0004 183.2839 CC 3853.364606 1 0.0000 5100 | 6/53
49 h-m-p 0.0000 0.0002 192.7245 CCC 3853.315754 2 0.0000 5207 | 6/53
50 h-m-p 0.0000 0.0004 377.0886 CYC 3853.264312 2 0.0000 5313 | 6/53
51 h-m-p 0.0000 0.0004 298.9956 CC 3853.208661 1 0.0000 5418 | 6/53
52 h-m-p 0.0000 0.0003 130.2596 CC 3853.196572 1 0.0000 5523 | 6/53
53 h-m-p 0.0000 0.0002 70.0005 YC 3853.191430 1 0.0000 5627 | 6/53
54 h-m-p 0.0000 0.0010 26.7029 CC 3853.187959 1 0.0000 5732 | 6/53
55 h-m-p 0.0000 0.0009 29.5687 C 3853.185216 0 0.0000 5835 | 6/53
56 h-m-p 0.0001 0.0020 9.8554 C 3853.184696 0 0.0000 5938 | 6/53
57 h-m-p 0.0000 0.0031 4.5134 C 3853.184341 0 0.0000 6041 | 6/53
58 h-m-p 0.0000 0.0049 10.0142 +C 3853.182979 0 0.0001 6145 | 6/53
59 h-m-p 0.0000 0.0060 26.1083 +CC 3853.178194 1 0.0001 6251 | 6/53
60 h-m-p 0.0000 0.0016 113.4528 +YC 3853.165391 1 0.0001 6356 | 6/53
61 h-m-p 0.0000 0.0005 238.4606 CC 3853.150415 1 0.0000 6461 | 6/53
62 h-m-p 0.0000 0.0023 368.5121 ++YC 3852.974810 1 0.0002 6567 | 6/53
63 h-m-p 0.0000 0.0004 5253.7382 +YCYCCC 3850.984786 5 0.0002 6679 | 6/53
64 h-m-p 0.0000 0.0000 21388.7842 CYCCC 3850.062062 4 0.0000 6789 | 6/53
65 h-m-p 0.0001 0.0003 1549.0147 CC 3849.973565 1 0.0000 6894 | 6/53
66 h-m-p 0.0002 0.0009 124.1137 -YC 3849.967957 1 0.0000 6999 | 6/53
67 h-m-p 0.0012 0.0101 2.0597 -C 3849.967391 0 0.0001 7103 | 6/53
68 h-m-p 0.0001 0.0246 2.4789 ++YC 3849.949551 1 0.0006 7209 | 6/53
69 h-m-p 0.0000 0.0011 45.2521 +CCC 3849.796806 2 0.0002 7317 | 6/53
70 h-m-p 0.0000 0.0004 529.2707 +YCCC 3848.191535 3 0.0002 7426 | 6/53
71 h-m-p 0.0000 0.0001 372.6496 YC 3848.113617 1 0.0000 7530 | 6/53
72 h-m-p 0.0114 0.8161 0.4652 ++YCCCC 3847.415892 4 0.3769 7642 | 6/53
73 h-m-p 0.1754 0.8768 0.0860 YCCC 3847.025233 3 0.3517 7750 | 6/53
74 h-m-p 0.1608 1.2177 0.1881 YCCC 3846.905957 3 0.2933 7858 | 6/53
75 h-m-p 1.5125 8.0000 0.0365 YC 3846.880665 1 0.5969 7962 | 6/53
76 h-m-p 1.5798 8.0000 0.0138 YC 3846.876682 1 1.0072 8066 | 6/53
77 h-m-p 1.6000 8.0000 0.0040 CC 3846.876241 1 0.6008 8171 | 6/53
78 h-m-p 0.6018 8.0000 0.0040 Y 3846.876104 0 1.1688 8274 | 6/53
79 h-m-p 1.6000 8.0000 0.0008 Y 3846.876078 0 1.0307 8377 | 6/53
80 h-m-p 1.0916 8.0000 0.0008 C 3846.876062 0 1.6202 8480 | 6/53
81 h-m-p 1.6000 8.0000 0.0002 +Y 3846.876037 0 4.2234 8584 | 6/53
82 h-m-p 1.6000 8.0000 0.0004 +C 3846.875932 0 5.4646 8688 | 6/53
83 h-m-p 1.6000 8.0000 0.0005 +YC 3846.875513 1 4.8080 8793 | 6/53
84 h-m-p 1.0136 8.0000 0.0024 +YC 3846.874709 1 2.7703 8898 | 6/53
85 h-m-p 1.6000 8.0000 0.0017 C 3846.874518 0 1.4780 9001 | 6/53
86 h-m-p 1.6000 8.0000 0.0006 Y 3846.874487 0 1.1816 9104 | 6/53
87 h-m-p 1.6000 8.0000 0.0004 C 3846.874481 0 1.2925 9207 | 6/53
88 h-m-p 1.6000 8.0000 0.0000 Y 3846.874481 0 1.0380 9310 | 6/53
89 h-m-p 1.6000 8.0000 0.0000 --------------Y 3846.874481 0 0.0000 9427
Out..
lnL = -3846.874481
9428 lfun, 103708 eigenQcodon, 4714000 P(t)
end of tree file.
Time used: 1:01:43
Model 8: beta&w>1
TREE # 1
(12, 3, (((((11, (21, 30, 25)), (17, (((22, 10), 5), (7, 15)))), 26), (2, 20)), (((13, (27, (4, 24), 8, (6, (9, 29)), 14, 19, 23, 28)), (18, 1)), 16))); MP score: 226
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
32
0.047131 0.029924 0.032636 0.085092 0.067868 0.027214 0.078099 0.025848 0.042882 0.064183 0.078742 0.049586 0.051581 0.055646 0.052504 0.084324 0.099142 0.037492 0.039719 0.065200 0.107694 0.107103 0.019644 0.107457 0.096852 0.056654 0.040551 0.037156 0.070796 0.022711 0.068087 0.040530 0.104082 0.050586 0.031582 0.067936 0.093366 0.046863 0.022991 0.103330 0.017241 0.068560 0.078165 0.085209 0.021359 0.072334 0.045128 0.039954 0.021038 0.022195 6.366179 0.900000 0.290584 1.535143 1.300000
ntime & nrate & np: 50 2 55
Bounds (np=55):
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 999.000000 0.999990 99.000000 99.000000 999.000000
Qfactor_NS = 4.725251
np = 55
lnL0 = -4531.282077
Iterating by ming2
Initial: fx= 4531.282077
x= 0.04713 0.02992 0.03264 0.08509 0.06787 0.02721 0.07810 0.02585 0.04288 0.06418 0.07874 0.04959 0.05158 0.05565 0.05250 0.08432 0.09914 0.03749 0.03972 0.06520 0.10769 0.10710 0.01964 0.10746 0.09685 0.05665 0.04055 0.03716 0.07080 0.02271 0.06809 0.04053 0.10408 0.05059 0.03158 0.06794 0.09337 0.04686 0.02299 0.10333 0.01724 0.06856 0.07816 0.08521 0.02136 0.07233 0.04513 0.03995 0.02104 0.02220 6.36618 0.90000 0.29058 1.53514 1.30000
1 h-m-p 0.0000 0.0001 2158.6391 ++ 4317.509197 m 0.0001 115 | 1/55
2 h-m-p 0.0000 0.0000 2921.6180 ++ 4288.678920 m 0.0000 228 | 2/55
3 h-m-p 0.0000 0.0000 24877.0637 ++ 4274.048071 m 0.0000 340 | 3/55
4 h-m-p 0.0000 0.0000 5570.1631 ++ 4196.647172 m 0.0000 451 | 3/55
5 h-m-p 0.0000 0.0000 22532.0350 ++ 4147.666873 m 0.0000 561 | 3/55
6 h-m-p 0.0000 0.0000 14257.8522 ++ 4139.791334 m 0.0000 671 | 3/55
7 h-m-p 0.0000 0.0000 26016.5748
h-m-p: 5.28856727e-24 2.64428363e-23 2.60165748e+04 4139.791334
.. | 3/55
8 h-m-p 0.0000 0.0000 7042.9430 YYYYCC 4125.317038 5 0.0000 894 | 3/55
9 h-m-p 0.0000 0.0000 1618.1407 ++ 4074.517088 m 0.0000 1004 | 3/55
10 h-m-p 0.0000 0.0000 11755.6723 ++ 4001.022758 m 0.0000 1114 | 4/55
11 h-m-p 0.0000 0.0000 12574.9568 ++ 4000.631917 m 0.0000 1224 | 5/55
12 h-m-p 0.0000 0.0000 38094.5923 ++ 3980.481413 m 0.0000 1333 | 5/55
13 h-m-p 0.0000 0.0000 18153.1699 ++ 3949.197795 m 0.0000 1441 | 5/55
14 h-m-p 0.0000 0.0000 50565.4613 +YYYCYCCC 3944.905776 7 0.0000 1560 | 5/55
15 h-m-p 0.0000 0.0000 15025.7482 ++ 3940.396934 m 0.0000 1668 | 5/55
16 h-m-p -0.0000 -0.0000 131108.9010
h-m-p: -4.04622682e-25 -2.02311341e-24 1.31108901e+05 3940.396934
.. | 5/55
17 h-m-p 0.0000 0.0000 347295.5929 ---YCYYYCYCCC 3935.902405 9 0.0000 1897 | 5/55
18 h-m-p 0.0000 0.0000 4462.9655 CYYYYCC 3928.140531 6 0.0000 2013 | 5/55
19 h-m-p 0.0000 0.0000 1296.4220 +CYCYCCC 3901.532650 6 0.0000 2132 | 5/55
20 h-m-p 0.0000 0.0000 5381.7034 +YCYYYYYY 3893.960778 7 0.0000 2249 | 5/55
21 h-m-p 0.0000 0.0000 11486.8383 ++ 3888.080055 m 0.0000 2357 | 6/55
22 h-m-p 0.0000 0.0000 5431.1585 ++ 3880.232565 m 0.0000 2465 | 6/55
23 h-m-p 0.0000 0.0000 10700.6760
h-m-p: 4.20880237e-23 2.10440119e-22 1.07006760e+04 3880.232565
.. | 6/55
24 h-m-p 0.0000 0.0000 3640.8213 CCYC 3876.594475 3 0.0000 2682 | 6/55
25 h-m-p 0.0000 0.0000 950.0897 +YYYCCC 3869.751532 5 0.0000 2797 | 6/55
26 h-m-p 0.0000 0.0000 2306.4293 +YYCCC 3866.532170 4 0.0000 2911 | 6/55
27 h-m-p 0.0000 0.0000 863.7395 +YCYCC 3865.436620 4 0.0000 3025 | 6/55
28 h-m-p 0.0000 0.0000 741.6323 YCCCC 3864.365803 4 0.0000 3139 | 6/55
29 h-m-p 0.0000 0.0000 1552.5945 YCCC 3863.473134 3 0.0000 3251 | 6/55
30 h-m-p 0.0000 0.0000 1748.9673 YCCCC 3862.260934 4 0.0000 3365 | 6/55
31 h-m-p 0.0000 0.0001 1306.2168 YCCCC 3858.587564 4 0.0000 3479 | 6/55
32 h-m-p 0.0000 0.0000 1368.1507 YCCC 3857.501181 3 0.0000 3591 | 6/55
33 h-m-p 0.0000 0.0000 797.5391 CCCC 3856.696449 3 0.0000 3704 | 6/55
34 h-m-p 0.0000 0.0000 795.3633 YCCCC 3855.981890 4 0.0000 3818 | 6/55
35 h-m-p 0.0000 0.0001 735.3220 CYC 3855.330794 2 0.0000 3928 | 6/55
36 h-m-p 0.0000 0.0000 669.7420 YCCCC 3854.203177 4 0.0000 4042 | 6/55
37 h-m-p 0.0000 0.0000 2431.3296 YCCCC 3852.319257 4 0.0000 4156 | 6/55
38 h-m-p 0.0000 0.0000 3271.4368 CCCC 3850.614410 3 0.0000 4269 | 6/55
39 h-m-p 0.0000 0.0000 1398.3085 CCCC 3849.808926 3 0.0000 4382 | 6/55
40 h-m-p 0.0000 0.0000 745.7667 CCCC 3849.517352 3 0.0000 4495 | 6/55
41 h-m-p 0.0000 0.0000 502.9005 YC 3849.401176 1 0.0000 4603 | 6/55
42 h-m-p 0.0000 0.0002 117.8640 YCC 3849.342120 2 0.0000 4713 | 6/55
43 h-m-p 0.0000 0.0002 103.8579 YC 3849.319851 1 0.0000 4821 | 6/55
44 h-m-p 0.0000 0.0001 155.5121 YC 3849.292658 1 0.0000 4929 | 6/55
45 h-m-p 0.0000 0.0001 118.7023 CCC 3849.255198 2 0.0000 5040 | 6/55
46 h-m-p 0.0000 0.0003 151.3603 CCC 3849.225943 2 0.0000 5151 | 6/55
47 h-m-p 0.0000 0.0003 103.3721 CC 3849.202659 1 0.0000 5260 | 6/55
48 h-m-p 0.0000 0.0007 96.3646 CC 3849.175899 1 0.0000 5369 | 6/55
49 h-m-p 0.0000 0.0003 82.7635 YC 3849.163368 1 0.0000 5477 | 6/55
50 h-m-p 0.0000 0.0008 60.4080 CC 3849.154645 1 0.0000 5586 | 6/55
51 h-m-p 0.0000 0.0007 83.6689 YC 3849.134820 1 0.0000 5694 | 6/55
52 h-m-p 0.0000 0.0005 101.5721 C 3849.116940 0 0.0000 5801 | 6/55
53 h-m-p 0.0000 0.0007 111.8778 CC 3849.096623 1 0.0000 5910 | 6/55
54 h-m-p 0.0000 0.0002 232.5845 CC 3849.064704 1 0.0000 6019 | 6/55
55 h-m-p 0.0000 0.0004 170.0658 YC 3849.047982 1 0.0000 6127 | 6/55
56 h-m-p 0.0000 0.0004 80.5449 CC 3849.042677 1 0.0000 6236 | 6/55
57 h-m-p 0.0001 0.0018 17.1224 YC 3849.040714 1 0.0000 6344 | 6/55
58 h-m-p 0.0000 0.0011 14.9405 YC 3849.039796 1 0.0000 6452 | 6/55
59 h-m-p 0.0000 0.0038 9.1434 CC 3849.038645 1 0.0000 6561 | 6/55
60 h-m-p 0.0000 0.0015 13.1633 YC 3849.037871 1 0.0000 6669 | 6/55
61 h-m-p 0.0000 0.0053 8.9428 YC 3849.035973 1 0.0001 6777 | 6/55
62 h-m-p 0.0000 0.0044 17.8726 +C 3849.027461 0 0.0001 6885 | 6/55
63 h-m-p 0.0000 0.0007 171.4594 +CC 3848.974639 1 0.0001 6995 | 6/55
64 h-m-p 0.0000 0.0002 1179.4213 +YYC 3848.807947 2 0.0000 7105 | 6/55
65 h-m-p 0.0000 0.0001 2480.3377 YCCC 3848.487259 3 0.0000 7217 | 6/55
66 h-m-p 0.0000 0.0001 5628.8175 +YCCC 3847.618255 3 0.0000 7330 | 6/55
67 h-m-p 0.0000 0.0001 3344.0555 CCCC 3847.467496 3 0.0000 7443 | 6/55
68 h-m-p 0.0001 0.0004 210.3338 C 3847.453243 0 0.0000 7550 | 6/55
69 h-m-p 0.0002 0.0016 27.8659 CC 3847.450063 1 0.0000 7659 | 6/55
70 h-m-p 0.0001 0.0013 12.8516 YC 3847.447682 1 0.0001 7767 | 6/55
71 h-m-p 0.0000 0.0207 40.2038 ++++YYYYC 3845.987549 4 0.0101 7882 | 6/55
72 h-m-p 0.4477 2.2386 0.8950 CYC 3845.087031 2 0.4709 7992 | 6/55
73 h-m-p 0.8915 4.4577 0.3366 YCCC 3844.215567 3 1.5434 8104 | 6/55
74 h-m-p 0.8110 4.0552 0.4406 CCCC 3843.677116 3 1.5014 8217 | 6/55
75 h-m-p 0.5598 2.7990 0.1827 CCCC 3843.537240 3 0.7621 8330 | 6/55
76 h-m-p 0.5118 2.5588 0.1394 CYC 3843.469394 2 0.4737 8440 | 6/55
77 h-m-p 0.5160 7.1860 0.1280 YC 3843.391507 1 0.9651 8548 | 6/55
78 h-m-p 0.8006 8.0000 0.1543 YC 3843.322036 1 1.4695 8656 | 6/55
79 h-m-p 0.8821 8.0000 0.2571 C 3843.285278 0 0.8786 8763 | 6/55
80 h-m-p 1.6000 8.0000 0.1311 YC 3843.264293 1 0.8327 8871 | 6/55
81 h-m-p 1.6000 8.0000 0.0466 YC 3843.255172 1 1.1316 8979 | 6/55
82 h-m-p 1.6000 8.0000 0.0153 YC 3843.253141 1 1.1773 9087 | 6/55
83 h-m-p 0.7101 8.0000 0.0254 YC 3843.251848 1 1.5416 9195 | 6/55
84 h-m-p 1.3074 8.0000 0.0299 +YC 3843.249862 1 3.5248 9304 | 6/55
85 h-m-p 1.2796 8.0000 0.0825 +C 3843.242409 0 4.8552 9412 | 6/55
86 h-m-p 1.6000 8.0000 0.2298 YCCC 3843.223769 3 3.3931 9524 | 6/55
87 h-m-p 1.6000 8.0000 0.2415 CCC 3843.198899 2 1.7627 9635 | 6/55
88 h-m-p 0.3396 2.5405 1.2537 YCYCCC 3843.177349 5 0.5185 9750 | 6/55
89 h-m-p 0.8667 4.3334 0.7086 YYYC 3843.146134 3 0.7856 9860 | 6/55
90 h-m-p 0.6954 5.9970 0.8006 YCC 3843.097992 2 0.5080 9970 | 6/55
91 h-m-p 0.2477 1.3813 1.6418 CYCCC 3843.047057 4 0.3739 10084 | 6/55
92 h-m-p 0.2260 1.2104 2.7165 YYYC 3842.992875 3 0.2080 10194 | 6/55
93 h-m-p 0.8878 8.0000 0.6365 YC 3842.773179 1 1.5157 10302 | 6/55
94 h-m-p 0.3312 1.7200 2.9132 CCCC 3842.612764 3 0.4179 10415 | 6/55
95 h-m-p 1.5851 8.0000 0.7680 YC 3842.523676 1 0.7860 10523 | 6/55
96 h-m-p 0.4228 5.2449 1.4278 YC 3842.407004 1 1.0223 10631 | 6/55
97 h-m-p 1.6000 8.0000 0.5669 CYC 3842.375108 2 1.4193 10741 | 6/55
98 h-m-p 1.6000 8.0000 0.1601 C 3842.371015 0 0.4492 10848 | 6/55
99 h-m-p 0.3477 8.0000 0.2069 +YC 3842.369201 1 0.9242 10957 | 6/55
100 h-m-p 1.6000 8.0000 0.0163 Y 3842.368998 0 1.1163 11064 | 6/55
101 h-m-p 1.6000 8.0000 0.0028 Y 3842.368972 0 1.2699 11171 | 6/55
102 h-m-p 1.3599 8.0000 0.0026 C 3842.368970 0 1.5363 11278 | 6/55
103 h-m-p 1.6000 8.0000 0.0007 C 3842.368970 0 1.5899 11385 | 6/55
104 h-m-p 1.6000 8.0000 0.0002 ---C 3842.368970 0 0.0054 11495 | 6/55
105 h-m-p 0.0160 8.0000 0.0007 -C 3842.368970 0 0.0010 11603 | 6/55
106 h-m-p 0.0160 8.0000 0.0003 -------------.. | 6/55
107 h-m-p 0.0004 0.1758 0.0415 ----------
Out..
lnL = -3842.368970
11837 lfun, 142044 eigenQcodon, 6510350 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) = -3851.958510 S = -3660.469078 -209.799884
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 206 patterns 1:55:16
did 20 / 206 patterns 1:55:16
did 30 / 206 patterns 1:55:16
did 40 / 206 patterns 1:55:17
did 50 / 206 patterns 1:55:17
did 60 / 206 patterns 1:55:17
did 70 / 206 patterns 1:55:17
did 80 / 206 patterns 1:55:17
did 90 / 206 patterns 1:55:18
did 100 / 206 patterns 1:55:18
did 110 / 206 patterns 1:55:18
did 120 / 206 patterns 1:55:18
did 130 / 206 patterns 1:55:18
did 140 / 206 patterns 1:55:19
did 150 / 206 patterns 1:55:19
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did 170 / 206 patterns 1:55:19
did 180 / 206 patterns 1:55:19
did 190 / 206 patterns 1:55:20
did 200 / 206 patterns 1:55:20
did 206 / 206 patterns 1:55:20end of tree file.
Time used: 1:55:20
The loglikelihoods for models M1, M2, M7 and M8 are -3844.809145 -3841.537851 -3846.874481 -3842.368970 respectively
The loglikelihood for model M2a is significantly different from that for M1a. Twice the difference is 6.542588
The loglikelihood for model M8 is significantly different from that for M7. Twice the difference is 9.011022
CLUSTAL W (1.8) multiple sequence alignment (ALTER 1.3.3)
OC43_human_USA_911_66_1991_L2_VIPR_ALG4_530802478_943_2757_1_1991_01_29_USA_Human_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELLFDVIVAWHVVRDPRY
Quebec_L2_VIPR_ALG4_17529671_949_2763_1_NA_NA_Unknown_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELPFDVTVAWHVVRDPRY
PHEV_CoV_swine_USA_15TOSU1727_2015_L2_VIPR_ALG4_ARC95257_1_910_2724_1_2015_08_08_USA_Swine_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELPFDVTVAWHVVRDPRY
YC_68_L2_VIPR_ALG4_AXX83360_1_862_2676_1_2015_06_05_China_Unknown_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELPFDVIVAWHVVRDPRY
SHG_3_L2_VIPR_ALG4_BBM61214_1_925_2739_1_2014_12_Japan_Unknown_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELPFDVTVAWHVVRDPRY
MY_U710_12_L2_VIPR_ALG4_AQN78701_1_948_2762_1_2012_06_20_Malaysia_Human_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELPFDVIVAWHVVRDPRY
TCG_12_L2_VIPR_ALG4_BBM61324_1_924_2738_1_2008_12_Japan_Unknown_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELPFDVTVAWHVVRDPRY
5595_2007_L2_VIPR_ALG4_701216848_948_2762_1_2007_07_China_Human_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELPFDVIVAWHVVRDPRY
HCoV_OC43_Seattle_USA_SC0682_2019_L2_VIPR_ALG4_QEG03736_1_910_2724_1_2019_USA_Human_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELPFDVIVAWHVVRDPRY
TCG_9_L2_VIPR_ALG4_BBM61424_1_913_2727_1_2008_03_Japan_Unknown_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELPFDVIVAWHVVRDPRY
UNKNOWN_FJ425185_L2_VIPR_ALG4_215478110_906_2720_1_1994_01_01_USA_Antelope_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELPFDVTVAWHVVRDPRY
PHEV_CoV_swine_USA_15TOSU0331_2015_L2_VIPR_ALG4_ARC95209_1_910_2724_1_2015_08_15_USA_Swine_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELPFDVTVAWHVVRDPRY
87309_Belgium_2003_L2_VIPR_ALG4_62530889_949_2763_1_NA_Belgium_Unknown_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELPFDVIVAWHVVRDPRY
5240_2007_L2_VIPR_ALG4_701216652_948_2762_1_2007_05_China_Human_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELPFDVIVAWHVVRDPRY
IWT_4_L2_VIPR_ALG4_BBM60974_1_925_2739_1_2011_06_Japan_Unknown_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELPFDVIVAWHVVRDPRY
OC43_human_USA_873_6_1987_L2_VIPR_ALG4_530802456_929_2743_1_1987_03_05_USA_Human_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELLFDVIVAWHVVRDPRY
IWT_19_L2_VIPR_ALG4_BBM61084_1_925_2739_1_2016_12_Japan_Unknown_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELPFDVTVAWHVVRDPRY
OC43_human_USA_9712_13_1997_L2_VIPR_ALG4_530802292_929_2743_1_1997_12_11_USA_Human_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELLFDVIVAWHVVRDPRY
LY341_L2_VIPR_ALG4_721347196_949_2763_1_2011_10_03_China_Human_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLGAYADKTLQEMKALFPTWSQELPFDVIVAWHVVRDPRY
Kakegawa_L2_VIPR_ALG4_155369168_949_2763_1_NA_Japan_Unknown_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADRTLQEMKALFPIWSQELPFDVTVAWHVVRDPRY
US_OH3_TC_2006_L2_VIPR_ALG4_145208979_933_2747_1_NA_USA_Giraffe_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELPFDVTVAWHVVRDPRY
TCG_27_L2_VIPR_ALG4_BBM61514_1_925_2739_1_2017_12_Japan_Unknown_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELHFDVIVAWHVVRDPRY
5345_2007_L2_VIPR_ALG4_701216659_948_2762_1_2007_05_China_Human_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELPFDVIVAWHVVRDPRY
MDS16_L2_VIPR_ALG4_QBQ01836_1_928_2742_1_NA_NA_Unknown_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELPFDVIVAWHVVRDPRY
E_AH187_TC_L2_VIPR_ALG4_251748090_933_2747_1_2000_01_01_USA_Cattle_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELPFDVTVAWHVVRDPRY
BCOV_China_SWUN_A10_2018_L2_VIPR_ALG4_QOV05174_1_949_2763_1_2018_11_01_China_Cattle_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELPFDVIVAWHVVRDPRY
5479_2007_L2_VIPR_ALG4_701216792_948_2762_1_2007_06_China_Human_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELPFDVIVAWHVVRDPRY
HCoV_OC43_Seattle_USA_SC2770_2015_L2_VIPR_ALG4_ARK08647_1_910_2724_1_2015_USA_Human_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELPFDVIVAWHVVRDPRY
HCoV_OC43_Seattle_USA_SC0810_2019_L2_VIPR_ALG4_QEG03753_1_945_2759_1_2019_USA_Human_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELPFDVIVAWHVVRDPRY
E_AH65_L2_VIPR_ALG4_145208890_949_2763_1_NA_USA_Cattle_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELPFDVTVAWHVVRDPRY
****************.***** ****:********** ***** *** ***********
OC43_human_USA_911_66_1991_L2_VIPR_ALG4_530802478_943_2757_1_1991_01_29_USA_Human_Betacoronavirus_1 VMRLQSAATIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLVDIMSHFYMEA
Quebec_L2_VIPR_ALG4_17529671_949_2763_1_NA_NA_Unknown_Betacoronavirus_1 VMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYMEA
PHEV_CoV_swine_USA_15TOSU1727_2015_L2_VIPR_ALG4_ARC95257_1_910_2724_1_2015_08_08_USA_Swine_Betacoronavirus_1 VMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYMEA
YC_68_L2_VIPR_ALG4_AXX83360_1_862_2676_1_2015_06_05_China_Unknown_Betacoronavirus_1 VMRLQSAATICSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLFDIMSHFYMEA
SHG_3_L2_VIPR_ALG4_BBM61214_1_925_2739_1_2014_12_Japan_Unknown_Betacoronavirus_1 VMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYMEA
MY_U710_12_L2_VIPR_ALG4_AQN78701_1_948_2762_1_2012_06_20_Malaysia_Human_Betacoronavirus_1 VMRLQSAATICSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLFDIMSHFYMEA
TCG_12_L2_VIPR_ALG4_BBM61324_1_924_2738_1_2008_12_Japan_Unknown_Betacoronavirus_1 VMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYMEA
5595_2007_L2_VIPR_ALG4_701216848_948_2762_1_2007_07_China_Human_Betacoronavirus_1 VMRLQSAATICSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLFDIMSHFYMEA
HCoV_OC43_Seattle_USA_SC0682_2019_L2_VIPR_ALG4_QEG03736_1_910_2724_1_2019_USA_Human_Betacoronavirus_1 VMRLQSAATICSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLFDIMSHFYMEA
TCG_9_L2_VIPR_ALG4_BBM61424_1_913_2727_1_2008_03_Japan_Unknown_Betacoronavirus_1 VMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYMEA
UNKNOWN_FJ425185_L2_VIPR_ALG4_215478110_906_2720_1_1994_01_01_USA_Antelope_Betacoronavirus_1 VMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYMEA
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87309_Belgium_2003_L2_VIPR_ALG4_62530889_949_2763_1_NA_Belgium_Unknown_Betacoronavirus_1 VMRLQSAATICSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLFDIMSHFYMEA
5240_2007_L2_VIPR_ALG4_701216652_948_2762_1_2007_05_China_Human_Betacoronavirus_1 VMRLQSAATICSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLFDIMSHFYMEA
IWT_4_L2_VIPR_ALG4_BBM60974_1_925_2739_1_2011_06_Japan_Unknown_Betacoronavirus_1 VMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYMEA
OC43_human_USA_873_6_1987_L2_VIPR_ALG4_530802456_929_2743_1_1987_03_05_USA_Human_Betacoronavirus_1 VMRLQSAATIRSVAYVANPTEDLCNGSVVIKEPVHVYADDSIILRQYNLVDIMSHFYMEA
IWT_19_L2_VIPR_ALG4_BBM61084_1_925_2739_1_2016_12_Japan_Unknown_Betacoronavirus_1 VMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYMEA
OC43_human_USA_9712_13_1997_L2_VIPR_ALG4_530802292_929_2743_1_1997_12_11_USA_Human_Betacoronavirus_1 VMRLQSAATIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLVDIMSHFYMEA
LY341_L2_VIPR_ALG4_721347196_949_2763_1_2011_10_03_China_Human_Betacoronavirus_1 VMRLQSAATICSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLFDIMSHFYMEA
Kakegawa_L2_VIPR_ALG4_155369168_949_2763_1_NA_Japan_Unknown_Betacoronavirus_1 VMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYMEA
US_OH3_TC_2006_L2_VIPR_ALG4_145208979_933_2747_1_NA_USA_Giraffe_Betacoronavirus_1 VMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYMEA
TCG_27_L2_VIPR_ALG4_BBM61514_1_925_2739_1_2017_12_Japan_Unknown_Betacoronavirus_1 VMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYMEA
5345_2007_L2_VIPR_ALG4_701216659_948_2762_1_2007_05_China_Human_Betacoronavirus_1 VMRLQSAATICSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLFDIMSHFYMEA
MDS16_L2_VIPR_ALG4_QBQ01836_1_928_2742_1_NA_NA_Unknown_Betacoronavirus_1 VMRLQSAATICSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLFDIMSHFYMEA
E_AH187_TC_L2_VIPR_ALG4_251748090_933_2747_1_2000_01_01_USA_Cattle_Betacoronavirus_1 VMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYMEA
BCOV_China_SWUN_A10_2018_L2_VIPR_ALG4_QOV05174_1_949_2763_1_2018_11_01_China_Cattle_Betacoronavirus_1 VMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYTEA
5479_2007_L2_VIPR_ALG4_701216792_948_2762_1_2007_06_China_Human_Betacoronavirus_1 VMRLQSAATICSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLFDIMSHFYMEA
HCoV_OC43_Seattle_USA_SC2770_2015_L2_VIPR_ALG4_ARK08647_1_910_2724_1_2015_USA_Human_Betacoronavirus_1 VMRLQSAATICSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLFDIMSHFYMEA
HCoV_OC43_Seattle_USA_SC0810_2019_L2_VIPR_ALG4_QEG03753_1_945_2759_1_2019_USA_Human_Betacoronavirus_1 VMRLQSAATICSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLFDIMSHFYMEA
E_AH65_L2_VIPR_ALG4_145208890_949_2763_1_NA_USA_Cattle_Betacoronavirus_1 VMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYMEA
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OC43_human_USA_911_66_1991_L2_VIPR_ALG4_530802478_943_2757_1_1991_01_29_USA_Human_Betacoronavirus_1 DTVVNAFYGVALKDCGFVMQFGYIDCEQDSCDFKGWIPGNMIDGFACTTCGHVYEVGDLI
Quebec_L2_VIPR_ALG4_17529671_949_2763_1_NA_NA_Unknown_Betacoronavirus_1 DAVVNAFYGVDLKDCGFVMQFGYIDCEQDLCDFKGWVPGNMIDGFACTTCGHVYETGDLL
PHEV_CoV_swine_USA_15TOSU1727_2015_L2_VIPR_ALG4_ARC95257_1_910_2724_1_2015_08_08_USA_Swine_Betacoronavirus_1 DAVVNAFYGVDLKDCGFVMQFGYIDCEQDLCDFKGWVPGNMIDGFACTTCGHVYEAGDLL
YC_68_L2_VIPR_ALG4_AXX83360_1_862_2676_1_2015_06_05_China_Unknown_Betacoronavirus_1 DTVVNAFYGVALKDCGFVMQFGYIDCEQDSCDFKGWIPGNMIDGFACTTCGHVYEVGDLI
SHG_3_L2_VIPR_ALG4_BBM61214_1_925_2739_1_2014_12_Japan_Unknown_Betacoronavirus_1 DAVVKAFYGVDLKHCGFVMQFGYIDCEQDSCDFKGWVPGNMIDGFACTTCGHVYETGDLL
MY_U710_12_L2_VIPR_ALG4_AQN78701_1_948_2762_1_2012_06_20_Malaysia_Human_Betacoronavirus_1 DTVVNAFYGVALKDCGFVMQFGYIDCEQDSCDFKGWIPGNMIDGFACTTCGHVYEVGDLI
TCG_12_L2_VIPR_ALG4_BBM61324_1_924_2738_1_2008_12_Japan_Unknown_Betacoronavirus_1 DAVVNAFYGVDLKNCGFVMQFGYIDCEQDSCDFKGWVPGNMIDGFACTTCGHVYETGDLL
5595_2007_L2_VIPR_ALG4_701216848_948_2762_1_2007_07_China_Human_Betacoronavirus_1 DTVVNAFYGVALKDCGFVMQFGYIDCEQDSCDFKGWIPGNMIDGFACTTCGHVYEVGDLI
HCoV_OC43_Seattle_USA_SC0682_2019_L2_VIPR_ALG4_QEG03736_1_910_2724_1_2019_USA_Human_Betacoronavirus_1 DTVVNAFYGVALKDCGFVMQFGYIDCEQDLCDFKGWIPGNMIDGFACTTCGHVYEVGDLI
TCG_9_L2_VIPR_ALG4_BBM61424_1_913_2727_1_2008_03_Japan_Unknown_Betacoronavirus_1 DAVVNAFYGVDLKNCGFVMQFGYIDCEQDSCDFKGWVPGNMIDGFACTTCGHVYETGDLL
UNKNOWN_FJ425185_L2_VIPR_ALG4_215478110_906_2720_1_1994_01_01_USA_Antelope_Betacoronavirus_1 DAVVNAFYGVDLKDCGFVMQFGYIDCEQDLCDFKGWVPGNMIDGFACTTCGHVYETGDLL
PHEV_CoV_swine_USA_15TOSU0331_2015_L2_VIPR_ALG4_ARC95209_1_910_2724_1_2015_08_15_USA_Swine_Betacoronavirus_1 DAVVNAFYGVDLKDCGFVMQFGYIDCEQDLCDFKGWVPGNMIDGFACTTCGHVYETGDLL
87309_Belgium_2003_L2_VIPR_ALG4_62530889_949_2763_1_NA_Belgium_Unknown_Betacoronavirus_1 DTVVNAFYGVALKDCGFVMQFGYIDCEQDSCDFKGWIPGNMIDGFACTTCGHVYEVGDLI
5240_2007_L2_VIPR_ALG4_701216652_948_2762_1_2007_05_China_Human_Betacoronavirus_1 DTVVNAFYGVALKDCGFVMQFGYIDCEQDSCDFKGWIPGNMIDGFACTTCGHVYEVGDLI
IWT_4_L2_VIPR_ALG4_BBM60974_1_925_2739_1_2011_06_Japan_Unknown_Betacoronavirus_1 DAVVNAFYGVDLKNCGFVMQFGYIDCEQDLCDFKGWVPGNMIDGFACTTCGHVYETGDLL
OC43_human_USA_873_6_1987_L2_VIPR_ALG4_530802456_929_2743_1_1987_03_05_USA_Human_Betacoronavirus_1 DTVVNAFYGVALKDCGFVMQFGYIDCEQDSCDFKGWIPGNMIDGFACTTCGHVYEVGDLI
IWT_19_L2_VIPR_ALG4_BBM61084_1_925_2739_1_2016_12_Japan_Unknown_Betacoronavirus_1 DAVVNAFYGVDLKNCGFVMQFGYIDCEQDLCGFKGWVPGNMIDGFACTTCGHVYETGDLL
OC43_human_USA_9712_13_1997_L2_VIPR_ALG4_530802292_929_2743_1_1997_12_11_USA_Human_Betacoronavirus_1 DTVVNAFYGVALKDCGFVMQFGYIDCEQDSCDFKGWIPGNMIDGFACTTCGHVYEVGDLI
LY341_L2_VIPR_ALG4_721347196_949_2763_1_2011_10_03_China_Human_Betacoronavirus_1 DTVVNAFYGVALKDCGFVMQFGYIDCEQDSCDFKGWIPGNMIDGFACTTCGHVYEVGDLI
Kakegawa_L2_VIPR_ALG4_155369168_949_2763_1_NA_Japan_Unknown_Betacoronavirus_1 DAVVNAFYGVDLKDCGFVMQFGYIDCEHDLCDFKGWVPGNMIDGFACTTCGHVYETGDLL
US_OH3_TC_2006_L2_VIPR_ALG4_145208979_933_2747_1_NA_USA_Giraffe_Betacoronavirus_1 DAVVNAFYGVDLKDCGFVMQFGYIDCEQDLCDFKGWVPGNMIDGFACTTCGHVYETGDLL
TCG_27_L2_VIPR_ALG4_BBM61514_1_925_2739_1_2017_12_Japan_Unknown_Betacoronavirus_1 DAVVNAFYGVDLKNCGFVMQFGYIDCEQDSCDFKGWVPGNMIDGFACTTCGHVYETGDLL
5345_2007_L2_VIPR_ALG4_701216659_948_2762_1_2007_05_China_Human_Betacoronavirus_1 DTVVNAFYGVALKDCGFVMQFGYIDCEQDSCDFKGWIPGNMIDGFACTTCGHVYEVGDLI
MDS16_L2_VIPR_ALG4_QBQ01836_1_928_2742_1_NA_NA_Unknown_Betacoronavirus_1 DTVVNAFYGVALKDCGFVMQFGYIDCEQDSCDFKGWIPGNMIDGFACTTCGHVYEVGDLI
E_AH187_TC_L2_VIPR_ALG4_251748090_933_2747_1_2000_01_01_USA_Cattle_Betacoronavirus_1 DAVVNAFYGVDLKHCGFVMQFGYIDCEQDLCDFKGWVPGNMIDGFACTTCGHVYETGNLL
BCOV_China_SWUN_A10_2018_L2_VIPR_ALG4_QOV05174_1_949_2763_1_2018_11_01_China_Cattle_Betacoronavirus_1 DAVVNAFYGVDLKDCGFVMQFGYIDCEQDLCDFKGWVPGNMIDGFACTTCGHVYETGDLL
5479_2007_L2_VIPR_ALG4_701216792_948_2762_1_2007_06_China_Human_Betacoronavirus_1 DTVVNAFYGVALKDCGFVMQFGYIDCEQDSCDFKGWIPGNMIDGFACTTCGHVYEVGDLI
HCoV_OC43_Seattle_USA_SC2770_2015_L2_VIPR_ALG4_ARK08647_1_910_2724_1_2015_USA_Human_Betacoronavirus_1 DTVVNAFYGVALKDCGFVMQFGYIDCEQDSCDFKGWIPGNMIDGFACTTCGHVYEVGDLI
HCoV_OC43_Seattle_USA_SC0810_2019_L2_VIPR_ALG4_QEG03753_1_945_2759_1_2019_USA_Human_Betacoronavirus_1 DTVVNAFYGVALKDCGFVMQFGYIDCEQDLCDFKGWIPGNMIDGFACTTCGHVYEVGDLI
E_AH65_L2_VIPR_ALG4_145208890_949_2763_1_NA_USA_Cattle_Betacoronavirus_1 DAVVNAFYGVDLKDCGFVMQFGYIDCEQDLCDFKGWVPGNMIDGFACTTCGHVYETGDLL
*:**:***** **.*************:* *.****:******************.*:*:
OC43_human_USA_911_66_1991_L2_VIPR_ALG4_530802478_943_2757_1_1991_01_29_USA_Human_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
Quebec_L2_VIPR_ALG4_17529671_949_2763_1_NA_NA_Unknown_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
PHEV_CoV_swine_USA_15TOSU1727_2015_L2_VIPR_ALG4_ARC95257_1_910_2724_1_2015_08_08_USA_Swine_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNVWIPILKSS
YC_68_L2_VIPR_ALG4_AXX83360_1_862_2676_1_2015_06_05_China_Unknown_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
SHG_3_L2_VIPR_ALG4_BBM61214_1_925_2739_1_2014_12_Japan_Unknown_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
MY_U710_12_L2_VIPR_ALG4_AQN78701_1_948_2762_1_2012_06_20_Malaysia_Human_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
TCG_12_L2_VIPR_ALG4_BBM61324_1_924_2738_1_2008_12_Japan_Unknown_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
5595_2007_L2_VIPR_ALG4_701216848_948_2762_1_2007_07_China_Human_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
HCoV_OC43_Seattle_USA_SC0682_2019_L2_VIPR_ALG4_QEG03736_1_910_2724_1_2019_USA_Human_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
TCG_9_L2_VIPR_ALG4_BBM61424_1_913_2727_1_2008_03_Japan_Unknown_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
UNKNOWN_FJ425185_L2_VIPR_ALG4_215478110_906_2720_1_1994_01_01_USA_Antelope_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
PHEV_CoV_swine_USA_15TOSU0331_2015_L2_VIPR_ALG4_ARC95209_1_910_2724_1_2015_08_15_USA_Swine_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
87309_Belgium_2003_L2_VIPR_ALG4_62530889_949_2763_1_NA_Belgium_Unknown_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
5240_2007_L2_VIPR_ALG4_701216652_948_2762_1_2007_05_China_Human_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
IWT_4_L2_VIPR_ALG4_BBM60974_1_925_2739_1_2011_06_Japan_Unknown_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
OC43_human_USA_873_6_1987_L2_VIPR_ALG4_530802456_929_2743_1_1987_03_05_USA_Human_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
IWT_19_L2_VIPR_ALG4_BBM61084_1_925_2739_1_2016_12_Japan_Unknown_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
OC43_human_USA_9712_13_1997_L2_VIPR_ALG4_530802292_929_2743_1_1997_12_11_USA_Human_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
LY341_L2_VIPR_ALG4_721347196_949_2763_1_2011_10_03_China_Human_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFILYGQTVVYFGGCVYWSPARNIWIPILKSS
Kakegawa_L2_VIPR_ALG4_155369168_949_2763_1_NA_Japan_Unknown_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
US_OH3_TC_2006_L2_VIPR_ALG4_145208979_933_2747_1_NA_USA_Giraffe_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
TCG_27_L2_VIPR_ALG4_BBM61514_1_925_2739_1_2017_12_Japan_Unknown_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
5345_2007_L2_VIPR_ALG4_701216659_948_2762_1_2007_05_China_Human_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
MDS16_L2_VIPR_ALG4_QBQ01836_1_928_2742_1_NA_NA_Unknown_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
E_AH187_TC_L2_VIPR_ALG4_251748090_933_2747_1_2000_01_01_USA_Cattle_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
BCOV_China_SWUN_A10_2018_L2_VIPR_ALG4_QOV05174_1_949_2763_1_2018_11_01_China_Cattle_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
5479_2007_L2_VIPR_ALG4_701216792_948_2762_1_2007_06_China_Human_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
HCoV_OC43_Seattle_USA_SC2770_2015_L2_VIPR_ALG4_ARK08647_1_910_2724_1_2015_USA_Human_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
HCoV_OC43_Seattle_USA_SC0810_2019_L2_VIPR_ALG4_QEG03753_1_945_2759_1_2019_USA_Human_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
E_AH65_L2_VIPR_ALG4_145208890_949_2763_1_NA_USA_Cattle_Betacoronavirus_1 AQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSS
****************************** ********************:********
OC43_human_USA_911_66_1991_L2_VIPR_ALG4_530802478_943_2757_1_1991_01_29_USA_Human_Betacoronavirus_1 VKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLN
Quebec_L2_VIPR_ALG4_17529671_949_2763_1_NA_NA_Unknown_Betacoronavirus_1 VKSYDGLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLN
PHEV_CoV_swine_USA_15TOSU1727_2015_L2_VIPR_ALG4_ARC95257_1_910_2724_1_2015_08_08_USA_Swine_Betacoronavirus_1 VKSYDSLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLDQRELLGVSDVWHKQLLLN
YC_68_L2_VIPR_ALG4_AXX83360_1_862_2676_1_2015_06_05_China_Unknown_Betacoronavirus_1 VKSYDSLVYTGVLGCKVIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLIN
SHG_3_L2_VIPR_ALG4_BBM61214_1_925_2739_1_2014_12_Japan_Unknown_Betacoronavirus_1 VKSYDGLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLN
MY_U710_12_L2_VIPR_ALG4_AQN78701_1_948_2762_1_2012_06_20_Malaysia_Human_Betacoronavirus_1 VKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLIN
TCG_12_L2_VIPR_ALG4_BBM61324_1_924_2738_1_2008_12_Japan_Unknown_Betacoronavirus_1 VKSYDGLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLN
5595_2007_L2_VIPR_ALG4_701216848_948_2762_1_2007_07_China_Human_Betacoronavirus_1 VKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLIN
HCoV_OC43_Seattle_USA_SC0682_2019_L2_VIPR_ALG4_QEG03736_1_910_2724_1_2019_USA_Human_Betacoronavirus_1 VKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLIN
TCG_9_L2_VIPR_ALG4_BBM61424_1_913_2727_1_2008_03_Japan_Unknown_Betacoronavirus_1 VKSYDGLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLN
UNKNOWN_FJ425185_L2_VIPR_ALG4_215478110_906_2720_1_1994_01_01_USA_Antelope_Betacoronavirus_1 VKSYDGLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLN
PHEV_CoV_swine_USA_15TOSU0331_2015_L2_VIPR_ALG4_ARC95209_1_910_2724_1_2015_08_15_USA_Swine_Betacoronavirus_1 VKSYDSLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLDQRELLGVSDVWHKQLLLN
87309_Belgium_2003_L2_VIPR_ALG4_62530889_949_2763_1_NA_Belgium_Unknown_Betacoronavirus_1 VKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLIN
5240_2007_L2_VIPR_ALG4_701216652_948_2762_1_2007_05_China_Human_Betacoronavirus_1 VKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLIN
IWT_4_L2_VIPR_ALG4_BBM60974_1_925_2739_1_2011_06_Japan_Unknown_Betacoronavirus_1 VKSYDGLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLN
OC43_human_USA_873_6_1987_L2_VIPR_ALG4_530802456_929_2743_1_1987_03_05_USA_Human_Betacoronavirus_1 VKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLN
IWT_19_L2_VIPR_ALG4_BBM61084_1_925_2739_1_2016_12_Japan_Unknown_Betacoronavirus_1 VKSYDGLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLN
OC43_human_USA_9712_13_1997_L2_VIPR_ALG4_530802292_929_2743_1_1997_12_11_USA_Human_Betacoronavirus_1 VKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLN
LY341_L2_VIPR_ALG4_721347196_949_2763_1_2011_10_03_China_Human_Betacoronavirus_1 VKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLIN
Kakegawa_L2_VIPR_ALG4_155369168_949_2763_1_NA_Japan_Unknown_Betacoronavirus_1 VKSYDGLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLN
US_OH3_TC_2006_L2_VIPR_ALG4_145208979_933_2747_1_NA_USA_Giraffe_Betacoronavirus_1 VKSYDGLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLN
TCG_27_L2_VIPR_ALG4_BBM61514_1_925_2739_1_2017_12_Japan_Unknown_Betacoronavirus_1 VKSYDGLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLN
5345_2007_L2_VIPR_ALG4_701216659_948_2762_1_2007_05_China_Human_Betacoronavirus_1 VKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLIN
MDS16_L2_VIPR_ALG4_QBQ01836_1_928_2742_1_NA_NA_Unknown_Betacoronavirus_1 VKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLIN
E_AH187_TC_L2_VIPR_ALG4_251748090_933_2747_1_2000_01_01_USA_Cattle_Betacoronavirus_1 VKSYDGLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLN
BCOV_China_SWUN_A10_2018_L2_VIPR_ALG4_QOV05174_1_949_2763_1_2018_11_01_China_Cattle_Betacoronavirus_1 VKSYDGLVYTGVVGCKAVVKETNLICKALYLDYVQHKCGNLHQRDLLGVSDVWHKQLLLN
5479_2007_L2_VIPR_ALG4_701216792_948_2762_1_2007_06_China_Human_Betacoronavirus_1 VKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLIN
HCoV_OC43_Seattle_USA_SC2770_2015_L2_VIPR_ALG4_ARK08647_1_910_2724_1_2015_USA_Human_Betacoronavirus_1 VKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLIN
HCoV_OC43_Seattle_USA_SC0810_2019_L2_VIPR_ALG4_QEG03753_1_945_2759_1_2019_USA_Human_Betacoronavirus_1 VKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLIN
E_AH65_L2_VIPR_ALG4_145208890_949_2763_1_NA_USA_Cattle_Betacoronavirus_1 VKSYDGLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLN
*****.******:***.:***********************.**:*************:*
OC43_human_USA_911_66_1991_L2_VIPR_ALG4_530802478_943_2757_1_1991_01_29_USA_Human_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAD
Quebec_L2_VIPR_ALG4_17529671_949_2763_1_NA_NA_Unknown_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAG
PHEV_CoV_swine_USA_15TOSU1727_2015_L2_VIPR_ALG4_ARC95257_1_910_2724_1_2015_08_08_USA_Swine_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLIPRAYYLAVSGYAFCDYAD
YC_68_L2_VIPR_ALG4_AXX83360_1_862_2676_1_2015_06_05_China_Unknown_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAD
SHG_3_L2_VIPR_ALG4_BBM61214_1_925_2739_1_2014_12_Japan_Unknown_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAD
MY_U710_12_L2_VIPR_ALG4_AQN78701_1_948_2762_1_2012_06_20_Malaysia_Human_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAD
TCG_12_L2_VIPR_ALG4_BBM61324_1_924_2738_1_2008_12_Japan_Unknown_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAD
5595_2007_L2_VIPR_ALG4_701216848_948_2762_1_2007_07_China_Human_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAD
HCoV_OC43_Seattle_USA_SC0682_2019_L2_VIPR_ALG4_QEG03736_1_910_2724_1_2019_USA_Human_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAD
TCG_9_L2_VIPR_ALG4_BBM61424_1_913_2727_1_2008_03_Japan_Unknown_Betacoronavirus_1 RGVYKPLLENIDYFNMQRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAD
UNKNOWN_FJ425185_L2_VIPR_ALG4_215478110_906_2720_1_1994_01_01_USA_Antelope_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAD
PHEV_CoV_swine_USA_15TOSU0331_2015_L2_VIPR_ALG4_ARC95209_1_910_2724_1_2015_08_15_USA_Swine_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGYAFCDYAD
87309_Belgium_2003_L2_VIPR_ALG4_62530889_949_2763_1_NA_Belgium_Unknown_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAD
5240_2007_L2_VIPR_ALG4_701216652_948_2762_1_2007_05_China_Human_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAD
IWT_4_L2_VIPR_ALG4_BBM60974_1_925_2739_1_2011_06_Japan_Unknown_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPCAYYLAVSGQAFCDYAD
OC43_human_USA_873_6_1987_L2_VIPR_ALG4_530802456_929_2743_1_1987_03_05_USA_Human_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYTD
IWT_19_L2_VIPR_ALG4_BBM61084_1_925_2739_1_2016_12_Japan_Unknown_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDHAD
OC43_human_USA_9712_13_1997_L2_VIPR_ALG4_530802292_929_2743_1_1997_12_11_USA_Human_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAD
LY341_L2_VIPR_ALG4_721347196_949_2763_1_2011_10_03_China_Human_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAD
Kakegawa_L2_VIPR_ALG4_155369168_949_2763_1_NA_Japan_Unknown_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAG
US_OH3_TC_2006_L2_VIPR_ALG4_145208979_933_2747_1_NA_USA_Giraffe_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAD
TCG_27_L2_VIPR_ALG4_BBM61514_1_925_2739_1_2017_12_Japan_Unknown_Betacoronavirus_1 RGVYKPLLENIDYFNMQRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAD
5345_2007_L2_VIPR_ALG4_701216659_948_2762_1_2007_05_China_Human_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAD
MDS16_L2_VIPR_ALG4_QBQ01836_1_928_2742_1_NA_NA_Unknown_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAD
E_AH187_TC_L2_VIPR_ALG4_251748090_933_2747_1_2000_01_01_USA_Cattle_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAD
BCOV_China_SWUN_A10_2018_L2_VIPR_ALG4_QOV05174_1_949_2763_1_2018_11_01_China_Cattle_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAG
5479_2007_L2_VIPR_ALG4_701216792_948_2762_1_2007_06_China_Human_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAD
HCoV_OC43_Seattle_USA_SC2770_2015_L2_VIPR_ALG4_ARK08647_1_910_2724_1_2015_USA_Human_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAD
HCoV_OC43_Seattle_USA_SC0810_2019_L2_VIPR_ALG4_QEG03753_1_945_2759_1_2019_USA_Human_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAD
E_AH65_L2_VIPR_ALG4_145208890_949_2763_1_NA_USA_Cattle_Betacoronavirus_1 RGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAD
****************:************************:* ******** ****::.
OC43_human_USA_911_66_1991_L2_VIPR_ALG4_530802478_943_2757_1_1991_01_29_USA_Human_Betacoronavirus_1 KLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTS
Quebec_L2_VIPR_ALG4_17529671_949_2763_1_NA_NA_Unknown_Betacoronavirus_1 KICHAVVSKSKELLDVSVDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTS
PHEV_CoV_swine_USA_15TOSU1727_2015_L2_VIPR_ALG4_ARC95257_1_910_2724_1_2015_08_08_USA_Swine_Betacoronavirus_1 KICHAVVSKSKDLLDVSLDSLGAAIHYLNSRIVDLAQHFSDFGASFVSTIVRYFKTFTTS
YC_68_L2_VIPR_ALG4_AXX83360_1_862_2676_1_2015_06_05_China_Unknown_Betacoronavirus_1 KLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIIHFFKTFTTS
SHG_3_L2_VIPR_ALG4_BBM61214_1_925_2739_1_2014_12_Japan_Unknown_Betacoronavirus_1 KICHAVVSKSKELLDVSLDSLSAAIHYLNSKIVDLAQHFSGFGTSFVSKIVHFFKTFTTS
MY_U710_12_L2_VIPR_ALG4_AQN78701_1_948_2762_1_2012_06_20_Malaysia_Human_Betacoronavirus_1 KLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTS
TCG_12_L2_VIPR_ALG4_BBM61324_1_924_2738_1_2008_12_Japan_Unknown_Betacoronavirus_1 KICHAVVSKSKELLDVSLDSLSAAIYYLNSKIVDLAQHFSGFGTSFVSKIVHFFKTFTTS
5595_2007_L2_VIPR_ALG4_701216848_948_2762_1_2007_07_China_Human_Betacoronavirus_1 KLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTS
HCoV_OC43_Seattle_USA_SC0682_2019_L2_VIPR_ALG4_QEG03736_1_910_2724_1_2019_USA_Human_Betacoronavirus_1 KLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTS
TCG_9_L2_VIPR_ALG4_BBM61424_1_913_2727_1_2008_03_Japan_Unknown_Betacoronavirus_1 KICHAVVSKSKELLDVSLDSLSAAIHYLNSKIVDLAQHFSGFGTSFVSKIVHFFKTFTTS
UNKNOWN_FJ425185_L2_VIPR_ALG4_215478110_906_2720_1_1994_01_01_USA_Antelope_Betacoronavirus_1 KICHAVVSKSKELLDVSLDSLSAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTS
PHEV_CoV_swine_USA_15TOSU0331_2015_L2_VIPR_ALG4_ARC95209_1_910_2724_1_2015_08_15_USA_Swine_Betacoronavirus_1 KLCHAVVSKSKDLLDVSLDSLGAAIHYLNSRIVDLAQHFSDFGASFVSTIVRYFKTFTTS
87309_Belgium_2003_L2_VIPR_ALG4_62530889_949_2763_1_NA_Belgium_Unknown_Betacoronavirus_1 KLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTS
5240_2007_L2_VIPR_ALG4_701216652_948_2762_1_2007_05_China_Human_Betacoronavirus_1 KLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTS
IWT_4_L2_VIPR_ALG4_BBM60974_1_925_2739_1_2011_06_Japan_Unknown_Betacoronavirus_1 KICHAVVSKSKELLDVSLDSLSAAIHYLNSKIVDLAQHFSGFGTSFVSKIVHFFKTFTTS
OC43_human_USA_873_6_1987_L2_VIPR_ALG4_530802456_929_2743_1_1987_03_05_USA_Human_Betacoronavirus_1 KLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTS
IWT_19_L2_VIPR_ALG4_BBM61084_1_925_2739_1_2016_12_Japan_Unknown_Betacoronavirus_1 KICHAVVSKSKELLDVSLDSLSAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTS
OC43_human_USA_9712_13_1997_L2_VIPR_ALG4_530802292_929_2743_1_1997_12_11_USA_Human_Betacoronavirus_1 KLCHAVVSKSKELLDVALDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTS
LY341_L2_VIPR_ALG4_721347196_949_2763_1_2011_10_03_China_Human_Betacoronavirus_1 KLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTS
Kakegawa_L2_VIPR_ALG4_155369168_949_2763_1_NA_Japan_Unknown_Betacoronavirus_1 KICHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTS
US_OH3_TC_2006_L2_VIPR_ALG4_145208979_933_2747_1_NA_USA_Giraffe_Betacoronavirus_1 KICHAVVSKSKELLDVSLDSLSAAIYYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTS
TCG_27_L2_VIPR_ALG4_BBM61514_1_925_2739_1_2017_12_Japan_Unknown_Betacoronavirus_1 KICHAVVSKSKELLDVSLDSLSAAIHYLNSKIVDLAQHFSGFGTSFVSKIVHFFKTFTTG
5345_2007_L2_VIPR_ALG4_701216659_948_2762_1_2007_05_China_Human_Betacoronavirus_1 KLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTS
MDS16_L2_VIPR_ALG4_QBQ01836_1_928_2742_1_NA_NA_Unknown_Betacoronavirus_1 KLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIIHFFKTFTTS
E_AH187_TC_L2_VIPR_ALG4_251748090_933_2747_1_2000_01_01_USA_Cattle_Betacoronavirus_1 KICHAVVSKSKELLDVSLDSLSAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTS
BCOV_China_SWUN_A10_2018_L2_VIPR_ALG4_QOV05174_1_949_2763_1_2018_11_01_China_Cattle_Betacoronavirus_1 KICHAVVSKSKELLDVSLDSLSAAIHYLNSKIVDLAQHFSDFGTSFVCKIVHFFKTFTTS
5479_2007_L2_VIPR_ALG4_701216792_948_2762_1_2007_06_China_Human_Betacoronavirus_1 KLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTS
HCoV_OC43_Seattle_USA_SC2770_2015_L2_VIPR_ALG4_ARK08647_1_910_2724_1_2015_USA_Human_Betacoronavirus_1 KLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTS
HCoV_OC43_Seattle_USA_SC0810_2019_L2_VIPR_ALG4_QEG03753_1_945_2759_1_2019_USA_Human_Betacoronavirus_1 KLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTS
E_AH65_L2_VIPR_ALG4_145208890_949_2763_1_NA_USA_Cattle_Betacoronavirus_1 KICHAVVSKSKELLDVSLDSLSAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTS
*:*********:****::***.***:****:*********.**:***..*:::******.
OC43_human_USA_911_66_1991_L2_VIPR_ALG4_530802478_943_2757_1_1991_01_29_USA_Human_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGL
Quebec_L2_VIPR_ALG4_17529671_949_2763_1_NA_NA_Unknown_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFGKNIPRYASAVAQAFRSGAKVGLDSLRVTFIDGL
PHEV_CoV_swine_USA_15TOSU1727_2015_L2_VIPR_ALG4_ARC95257_1_910_2724_1_2015_08_08_USA_Swine_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVAKVVLDSLRVTFIDGL
YC_68_L2_VIPR_ALG4_AXX83360_1_862_2676_1_2015_06_05_China_Unknown_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGL
SHG_3_L2_VIPR_ALG4_BBM61214_1_925_2739_1_2014_12_Japan_Unknown_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVAKVVLDSLRVTFIDGL
MY_U710_12_L2_VIPR_ALG4_AQN78701_1_948_2762_1_2012_06_20_Malaysia_Human_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGL
TCG_12_L2_VIPR_ALG4_BBM61324_1_924_2738_1_2008_12_Japan_Unknown_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVAKVVLDSLRVTFIDGL
5595_2007_L2_VIPR_ALG4_701216848_948_2762_1_2007_07_China_Human_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGL
HCoV_OC43_Seattle_USA_SC0682_2019_L2_VIPR_ALG4_QEG03736_1_910_2724_1_2019_USA_Human_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGL
TCG_9_L2_VIPR_ALG4_BBM61424_1_913_2727_1_2008_03_Japan_Unknown_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVAKVVLDSLRVTFIDGL
UNKNOWN_FJ425185_L2_VIPR_ALG4_215478110_906_2720_1_1994_01_01_USA_Antelope_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVAKVVLDSLRVTFIDGL
PHEV_CoV_swine_USA_15TOSU0331_2015_L2_VIPR_ALG4_ARC95209_1_910_2724_1_2015_08_15_USA_Swine_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVVKVVLESLRVTFIDGL
87309_Belgium_2003_L2_VIPR_ALG4_62530889_949_2763_1_NA_Belgium_Unknown_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGL
5240_2007_L2_VIPR_ALG4_701216652_948_2762_1_2007_05_China_Human_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGL
IWT_4_L2_VIPR_ALG4_BBM60974_1_925_2739_1_2011_06_Japan_Unknown_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVAKVVLDSLRVTFIDGL
OC43_human_USA_873_6_1987_L2_VIPR_ALG4_530802456_929_2743_1_1987_03_05_USA_Human_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGL
IWT_19_L2_VIPR_ALG4_BBM61084_1_925_2739_1_2016_12_Japan_Unknown_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVVKVVLDSLRVTFIDGL
OC43_human_USA_9712_13_1997_L2_VIPR_ALG4_530802292_929_2743_1_1997_12_11_USA_Human_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGL
LY341_L2_VIPR_ALG4_721347196_949_2763_1_2011_10_03_China_Human_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGL
Kakegawa_L2_VIPR_ALG4_155369168_949_2763_1_NA_Japan_Unknown_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVAKVVLDSLRVTFIDGL
US_OH3_TC_2006_L2_VIPR_ALG4_145208979_933_2747_1_NA_USA_Giraffe_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVAKVVLDSLRVTFIDGL
TCG_27_L2_VIPR_ALG4_BBM61514_1_925_2739_1_2017_12_Japan_Unknown_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVAKVVLDSLRVTFIDGL
5345_2007_L2_VIPR_ALG4_701216659_948_2762_1_2007_05_China_Human_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGL
MDS16_L2_VIPR_ALG4_QBQ01836_1_928_2742_1_NA_NA_Unknown_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGL
E_AH187_TC_L2_VIPR_ALG4_251748090_933_2747_1_2000_01_01_USA_Cattle_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVAKVVLDSLRVTFIDGL
BCOV_China_SWUN_A10_2018_L2_VIPR_ALG4_QOV05174_1_949_2763_1_2018_11_01_China_Cattle_Betacoronavirus_1 KGLAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVAKVVLDSLRVTFIDGL
5479_2007_L2_VIPR_ALG4_701216792_948_2762_1_2007_06_China_Human_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGL
HCoV_OC43_Seattle_USA_SC2770_2015_L2_VIPR_ALG4_ARK08647_1_910_2724_1_2015_USA_Human_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGL
HCoV_OC43_Seattle_USA_SC0810_2019_L2_VIPR_ALG4_QEG03753_1_945_2759_1_2019_USA_Human_Betacoronavirus_1 TALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGL
E_AH65_L2_VIPR_ALG4_145208890_949_2763_1_NA_USA_Cattle_Betacoronavirus_1 TALAFAWILFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVAKVVLDSLRVTFIDGL
..*****:****************** **************:* .** *:**********
OC43_human_USA_911_66_1991_L2_VIPR_ALG4_530802478_943_2757_1_1991_01_29_USA_Human_Betacoronavirus_1 SCFKIGRRRICLSGRKIYEVERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDF
Quebec_L2_VIPR_ALG4_17529671_949_2763_1_NA_NA_Unknown_Betacoronavirus_1 SCFKIGRRRICLSGSKIYEVERGLLHSSQLPLDVYDLTMPSQVQKTKQKGIYLKGSGSDF
PHEV_CoV_swine_USA_15TOSU1727_2015_L2_VIPR_ALG4_ARC95257_1_910_2724_1_2015_08_08_USA_Swine_Betacoronavirus_1 SCFKIGRRRICLSGRKIYEVERGLLHSSQLPLDVYDLTMPSQVQKSKQKPIYLKGSGSDF
YC_68_L2_VIPR_ALG4_AXX83360_1_862_2676_1_2015_06_05_China_Unknown_Betacoronavirus_1 SCFKIGRRRICLSGRKIYEVARGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDF
SHG_3_L2_VIPR_ALG4_BBM61214_1_925_2739_1_2014_12_Japan_Unknown_Betacoronavirus_1 SCFKIGRRRICLSGSKIYEVERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDF
MY_U710_12_L2_VIPR_ALG4_AQN78701_1_948_2762_1_2012_06_20_Malaysia_Human_Betacoronavirus_1 SCFKIGRRRICLSGRKIYEVARGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDF
TCG_12_L2_VIPR_ALG4_BBM61324_1_924_2738_1_2008_12_Japan_Unknown_Betacoronavirus_1 SCFKIGRRRICLSGSKIYEVERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDF
5595_2007_L2_VIPR_ALG4_701216848_948_2762_1_2007_07_China_Human_Betacoronavirus_1 SCFKIGRRRICLSGRKIYEVARGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDF
HCoV_OC43_Seattle_USA_SC0682_2019_L2_VIPR_ALG4_QEG03736_1_910_2724_1_2019_USA_Human_Betacoronavirus_1 SCFKIGRRRICLSGRKIYEVARGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDF
TCG_9_L2_VIPR_ALG4_BBM61424_1_913_2727_1_2008_03_Japan_Unknown_Betacoronavirus_1 SCFKIGRRRICLSGSKIYEVERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDF
UNKNOWN_FJ425185_L2_VIPR_ALG4_215478110_906_2720_1_1994_01_01_USA_Antelope_Betacoronavirus_1 SCFKIGRRRICLSGSKIYEVERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDF
PHEV_CoV_swine_USA_15TOSU0331_2015_L2_VIPR_ALG4_ARC95209_1_910_2724_1_2015_08_15_USA_Swine_Betacoronavirus_1 SCFKIGRRRICLSGRKIYEVERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDF
87309_Belgium_2003_L2_VIPR_ALG4_62530889_949_2763_1_NA_Belgium_Unknown_Betacoronavirus_1 SCFKIGRRRICLSGRKIYEVERGLLHSSQLPLDVYNLTMPSQVQKAKQKPIYLKGSGSDF
5240_2007_L2_VIPR_ALG4_701216652_948_2762_1_2007_05_China_Human_Betacoronavirus_1 SCFKIGRRRICLSGRKIYEVARGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDF
IWT_4_L2_VIPR_ALG4_BBM60974_1_925_2739_1_2011_06_Japan_Unknown_Betacoronavirus_1 SCFKIGRRRICLSGSKIYEVERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDF
OC43_human_USA_873_6_1987_L2_VIPR_ALG4_530802456_929_2743_1_1987_03_05_USA_Human_Betacoronavirus_1 SCFKIGRRRICLSGRKIYEIERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDF
IWT_19_L2_VIPR_ALG4_BBM61084_1_925_2739_1_2016_12_Japan_Unknown_Betacoronavirus_1 SCFKIGRRRICISGSKIYEVERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDF
OC43_human_USA_9712_13_1997_L2_VIPR_ALG4_530802292_929_2743_1_1997_12_11_USA_Human_Betacoronavirus_1 SCFKIGRRRICLSGRKIYEVERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDF
LY341_L2_VIPR_ALG4_721347196_949_2763_1_2011_10_03_China_Human_Betacoronavirus_1 SCFKIGRRRICLSGRKIYEVARGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDF
Kakegawa_L2_VIPR_ALG4_155369168_949_2763_1_NA_Japan_Unknown_Betacoronavirus_1 SCFKIGRRRICLSGSKIYEVERGLLHSSQLPLDVYDLTMPSQVQKTKQKPIYLKGSGSDF
US_OH3_TC_2006_L2_VIPR_ALG4_145208979_933_2747_1_NA_USA_Giraffe_Betacoronavirus_1 SCFKIGRRRICLSGSKIYEVERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGTDF
TCG_27_L2_VIPR_ALG4_BBM61514_1_925_2739_1_2017_12_Japan_Unknown_Betacoronavirus_1 SCFKIGRRRICLSGSKIYEVERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDF
5345_2007_L2_VIPR_ALG4_701216659_948_2762_1_2007_05_China_Human_Betacoronavirus_1 SCFKIGRRRICLSGRKIYEVARGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDF
MDS16_L2_VIPR_ALG4_QBQ01836_1_928_2742_1_NA_NA_Unknown_Betacoronavirus_1 SCFKIGRRRICLSGRKIYEVARGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDF
E_AH187_TC_L2_VIPR_ALG4_251748090_933_2747_1_2000_01_01_USA_Cattle_Betacoronavirus_1 SCFKIGRRRICLSGSKIYEVERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDF
BCOV_China_SWUN_A10_2018_L2_VIPR_ALG4_QOV05174_1_949_2763_1_2018_11_01_China_Cattle_Betacoronavirus_1 SCFKIGRRRICLSGSKIYEVERGLLHSSQLPLDVYELTMPSQVQKTKQKPIYLKGSGSDF
5479_2007_L2_VIPR_ALG4_701216792_948_2762_1_2007_06_China_Human_Betacoronavirus_1 SCFKIGRRRICLSGRKIYEVARGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDF
HCoV_OC43_Seattle_USA_SC2770_2015_L2_VIPR_ALG4_ARK08647_1_910_2724_1_2015_USA_Human_Betacoronavirus_1 SCFKIGRRRICLSGRKIYEVARGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDF
HCoV_OC43_Seattle_USA_SC0810_2019_L2_VIPR_ALG4_QEG03753_1_945_2759_1_2019_USA_Human_Betacoronavirus_1 SCFKIGRRRICLSGRKIYEVARGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDF
E_AH65_L2_VIPR_ALG4_145208890_949_2763_1_NA_USA_Cattle_Betacoronavirus_1 SCFKIGRRRICLSGSKIYEVERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDF
***********:** ****: **************:*********:*** *******:**
OC43_human_USA_911_66_1991_L2_VIPR_ALG4_530802478_943_2757_1_1991_01_29_USA_Human_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAW
Quebec_L2_VIPR_ALG4_17529671_949_2763_1_NA_NA_Unknown_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDGHVGLLDQAW
PHEV_CoV_swine_USA_15TOSU1727_2015_L2_VIPR_ALG4_ARC95257_1_910_2724_1_2015_08_08_USA_Swine_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKFADKICIVDNVYMAKAGDKYYPVVVDDHAGLLDQAW
YC_68_L2_VIPR_ALG4_AXX83360_1_862_2676_1_2015_06_05_China_Unknown_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAW
SHG_3_L2_VIPR_ALG4_BBM61214_1_925_2739_1_2014_12_Japan_Unknown_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYFEPPKVADKICIVDNVYMAKAGDKYYPVVVDGHVGLLDQAW
MY_U710_12_L2_VIPR_ALG4_AQN78701_1_948_2762_1_2012_06_20_Malaysia_Human_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAW
TCG_12_L2_VIPR_ALG4_BBM61324_1_924_2738_1_2008_12_Japan_Unknown_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDGHVGLLDQAW
5595_2007_L2_VIPR_ALG4_701216848_948_2762_1_2007_07_China_Human_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAW
HCoV_OC43_Seattle_USA_SC0682_2019_L2_VIPR_ALG4_QEG03736_1_910_2724_1_2019_USA_Human_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAW
TCG_9_L2_VIPR_ALG4_BBM61424_1_913_2727_1_2008_03_Japan_Unknown_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDGHVGLLDQAW
UNKNOWN_FJ425185_L2_VIPR_ALG4_215478110_906_2720_1_1994_01_01_USA_Antelope_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDGHVGLLDQAW
PHEV_CoV_swine_USA_15TOSU0331_2015_L2_VIPR_ALG4_ARC95209_1_910_2724_1_2015_08_15_USA_Swine_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKFADKICIVDNVYMAKAGDKYYPVVVDDHAGLLDQAW
87309_Belgium_2003_L2_VIPR_ALG4_62530889_949_2763_1_NA_Belgium_Unknown_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAW
5240_2007_L2_VIPR_ALG4_701216652_948_2762_1_2007_05_China_Human_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAW
IWT_4_L2_VIPR_ALG4_BBM60974_1_925_2739_1_2011_06_Japan_Unknown_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDGHVGLLDQAW
OC43_human_USA_873_6_1987_L2_VIPR_ALG4_530802456_929_2743_1_1987_03_05_USA_Human_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAW
IWT_19_L2_VIPR_ALG4_BBM61084_1_925_2739_1_2016_12_Japan_Unknown_Betacoronavirus_1 SLADSVVEVVTTSLAPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDGHVGLLDQAW
OC43_human_USA_9712_13_1997_L2_VIPR_ALG4_530802292_929_2743_1_1997_12_11_USA_Human_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAW
LY341_L2_VIPR_ALG4_721347196_949_2763_1_2011_10_03_China_Human_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAW
Kakegawa_L2_VIPR_ALG4_155369168_949_2763_1_NA_Japan_Unknown_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDGHVGLLDQAW
US_OH3_TC_2006_L2_VIPR_ALG4_145208979_933_2747_1_NA_USA_Giraffe_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDGHVGLLDQAW
TCG_27_L2_VIPR_ALG4_BBM61514_1_925_2739_1_2017_12_Japan_Unknown_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDGHVGLLDQAW
5345_2007_L2_VIPR_ALG4_701216659_948_2762_1_2007_05_China_Human_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAW
MDS16_L2_VIPR_ALG4_QBQ01836_1_928_2742_1_NA_NA_Unknown_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAW
E_AH187_TC_L2_VIPR_ALG4_251748090_933_2747_1_2000_01_01_USA_Cattle_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDGHVGLLDQAW
BCOV_China_SWUN_A10_2018_L2_VIPR_ALG4_QOV05174_1_949_2763_1_2018_11_01_China_Cattle_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDGHVGLLDQAW
5479_2007_L2_VIPR_ALG4_701216792_948_2762_1_2007_06_China_Human_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAW
HCoV_OC43_Seattle_USA_SC2770_2015_L2_VIPR_ALG4_ARK08647_1_910_2724_1_2015_USA_Human_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAW
HCoV_OC43_Seattle_USA_SC0810_2019_L2_VIPR_ALG4_QEG03753_1_945_2759_1_2019_USA_Human_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAW
E_AH65_L2_VIPR_ALG4_145208890_949_2763_1_NA_USA_Cattle_Betacoronavirus_1 SLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDGHVGLLDQAW
**************:**** ****.*************************.*.*******
OC43_human_USA_911_66_1991_L2_VIPR_ALG4_530802478_943_2757_1_1991_01_29_USA_Human_Betacoronavirus_1 RVPCA
Quebec_L2_VIPR_ALG4_17529671_949_2763_1_NA_NA_Unknown_Betacoronavirus_1 RVPCA
PHEV_CoV_swine_USA_15TOSU1727_2015_L2_VIPR_ALG4_ARC95257_1_910_2724_1_2015_08_08_USA_Swine_Betacoronavirus_1 RVPCA
YC_68_L2_VIPR_ALG4_AXX83360_1_862_2676_1_2015_06_05_China_Unknown_Betacoronavirus_1 RVPCA
SHG_3_L2_VIPR_ALG4_BBM61214_1_925_2739_1_2014_12_Japan_Unknown_Betacoronavirus_1 RVPCA
MY_U710_12_L2_VIPR_ALG4_AQN78701_1_948_2762_1_2012_06_20_Malaysia_Human_Betacoronavirus_1 RVPCA
TCG_12_L2_VIPR_ALG4_BBM61324_1_924_2738_1_2008_12_Japan_Unknown_Betacoronavirus_1 RVPCA
5595_2007_L2_VIPR_ALG4_701216848_948_2762_1_2007_07_China_Human_Betacoronavirus_1 RVPCA
HCoV_OC43_Seattle_USA_SC0682_2019_L2_VIPR_ALG4_QEG03736_1_910_2724_1_2019_USA_Human_Betacoronavirus_1 RVPCA
TCG_9_L2_VIPR_ALG4_BBM61424_1_913_2727_1_2008_03_Japan_Unknown_Betacoronavirus_1 RVPCA
UNKNOWN_FJ425185_L2_VIPR_ALG4_215478110_906_2720_1_1994_01_01_USA_Antelope_Betacoronavirus_1 RVPCA
PHEV_CoV_swine_USA_15TOSU0331_2015_L2_VIPR_ALG4_ARC95209_1_910_2724_1_2015_08_15_USA_Swine_Betacoronavirus_1 RVPCA
87309_Belgium_2003_L2_VIPR_ALG4_62530889_949_2763_1_NA_Belgium_Unknown_Betacoronavirus_1 RVPCA
5240_2007_L2_VIPR_ALG4_701216652_948_2762_1_2007_05_China_Human_Betacoronavirus_1 RVPCA
IWT_4_L2_VIPR_ALG4_BBM60974_1_925_2739_1_2011_06_Japan_Unknown_Betacoronavirus_1 RVPCA
OC43_human_USA_873_6_1987_L2_VIPR_ALG4_530802456_929_2743_1_1987_03_05_USA_Human_Betacoronavirus_1 RVPCA
IWT_19_L2_VIPR_ALG4_BBM61084_1_925_2739_1_2016_12_Japan_Unknown_Betacoronavirus_1 RVPCA
OC43_human_USA_9712_13_1997_L2_VIPR_ALG4_530802292_929_2743_1_1997_12_11_USA_Human_Betacoronavirus_1 RVPCA
LY341_L2_VIPR_ALG4_721347196_949_2763_1_2011_10_03_China_Human_Betacoronavirus_1 RVPCA
Kakegawa_L2_VIPR_ALG4_155369168_949_2763_1_NA_Japan_Unknown_Betacoronavirus_1 RVPCA
US_OH3_TC_2006_L2_VIPR_ALG4_145208979_933_2747_1_NA_USA_Giraffe_Betacoronavirus_1 RVPCA
TCG_27_L2_VIPR_ALG4_BBM61514_1_925_2739_1_2017_12_Japan_Unknown_Betacoronavirus_1 RVPCA
5345_2007_L2_VIPR_ALG4_701216659_948_2762_1_2007_05_China_Human_Betacoronavirus_1 RVPCA
MDS16_L2_VIPR_ALG4_QBQ01836_1_928_2742_1_NA_NA_Unknown_Betacoronavirus_1 RVPCA
E_AH187_TC_L2_VIPR_ALG4_251748090_933_2747_1_2000_01_01_USA_Cattle_Betacoronavirus_1 RVPCA
BCOV_China_SWUN_A10_2018_L2_VIPR_ALG4_QOV05174_1_949_2763_1_2018_11_01_China_Cattle_Betacoronavirus_1 RVPRA
5479_2007_L2_VIPR_ALG4_701216792_948_2762_1_2007_06_China_Human_Betacoronavirus_1 RVPCA
HCoV_OC43_Seattle_USA_SC2770_2015_L2_VIPR_ALG4_ARK08647_1_910_2724_1_2015_USA_Human_Betacoronavirus_1 RVPCA
HCoV_OC43_Seattle_USA_SC0810_2019_L2_VIPR_ALG4_QEG03753_1_945_2759_1_2019_USA_Human_Betacoronavirus_1 RVPCA
E_AH65_L2_VIPR_ALG4_145208890_949_2763_1_NA_USA_Cattle_Betacoronavirus_1 RVPCA
*** *
>OC43_human_USA_911_66_1991_L2_VIPR_ALG4_530802478_943_2757_1_1991_01_29_USA_Human_Betacoronavirus_1 GTTAAACCACTTCTCTATGTAGACCAGTATGGTTGTGATTATACTGGTAGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTACTTGGAGTCAGGAACTCCTTTTTGATGTAATTGTGGCATGGCATGTTGTGCGTGATCCACGTTATGTTATGAGATTGCAGAGTGCTGCTACTATACGTAGTGTTGCATATGTTGCTAATCCTACTGAAGACTTGTGTGATGGTTCTGTTGTTATAAAAGAACCTGTGCATGTTTATGCAGATGACTCTATTATTTTACGTCAATATAATTTAGTTGACATTATGAGTCATTTTTATATGGAGGCAGATACAGTTGTAAATGCTTTTTATGGTGTTGCTTTGAAAGATTGTGGTTTTGTTATGCAGTTTGGTTACATTGATTGCGAACAAGACTCGTGTGATTTTAAAGGTTGGATTCCTGGTAACATGATAGATGGTTTTGCTTGCACCACTTGTGGTCATGTTTATGAAGTAGGTGATTTGATAGCACAATCTTCAGGTGTTTTGCCTGTTAATCCTGTATTGCATACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAAGATTCTTTTACTCTGTATGGCCAAACTGTAGTTTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCCTCTGTTAAGTCATATGACAGTTTGGTTTATACTGGAGTTTTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCTCTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTACACCAACGGGAGTTGCTAGGTGTTTCAGATGTGTGGCATAAACAATTGCTATTAAATAGAGGTGTTTATAAACCTCTGTTAGAGAATATTGATTATTTTAATATGCGACGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGCTTTATGCCTTTTCTTTTAGATGATTTAGTTCCACGCGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGATTATGCAGATAAACTTTGCCATGCTGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGTCTCTGGATTCTTTAGGTGCAGCTATACATTATTTGAATTCTAAGATTGTTGATTTGGCTCAACATTTTAGTGATTTTGGAACAAGTTTCGTTTCTAAAATTGTTCATTTCTTTAAGACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGGTTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTGGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCAGAGTGTTGCTAAAGTTGTACTGGACTCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATTTGTCTTTCAGGCAGAAAAATTTATGAAGTTGAGCGTGGCTTGTTACATTCATCCCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAAGCCAAGCAAAAACCTATTTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCGGATAGTGTAGTTGAAGTTGTTACAACTTCACTTACACCATGTGGTTATTCTGAACCACCTAAAGTTGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCTGGTGATAAATATTACCCTGTTGTGGTTGATGATCATGTTGGACTCTTGGATCAAGCATGGAGAGTTCCTTGTGCT >Quebec_L2_VIPR_ALG4_17529671_949_2763_1_NA_NA_Unknown_Betacoronavirus_1 GTTAAACCGCTTCTCTATGTAGACCAGTATGGTTGTGATTATACTGGTGGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTATTTGGAGCCAGGAACTCCCTTTTGATGTAACTGTGGCATGGCACGTTGTGCGTGATCCACGTTATGTTATGAGACTGCAGAGTGCTTCTACTATACGTAGTGTTGCATATGTTGCTAACCCTACTGAAGACTTGTGTGATGGTTCTGTTGTTATAAAGGAACCTGTGCATGTTTATGCGGATGACTCTATTATTTTACGTCAACATAATTTAGTTGACATTATGAGTTGTTTTTATATGGAGGCAGATGCAGTTGTAAATGCTTTTTATGGTGTTGATTTGAAAGATTGTGGTTTTGTTATGCAGTTTGGTTATATTGACTGCGAACAAGACTTGTGTGATTTTAAAGGTTGGGTTCCTGGTAATATGATAGATGGTTTTGCTTGCACTACTTGTGGTCATGTTTATGAGACAGGTGATTTGCTAGCACAATCTTCAGGTGTTTTGCCTGTTAATCCTGTATTGCATACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAGGATTCTTTTACCCTGTATGGCCAAACTGTAGTTTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCTTCTGTTAAGTCTTATGACGGTTTGGTTTATACTGGAGTTGTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCGTTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTACACCAGCGGGAGTTGCTAGGTGTGTCAGATGTGTGGCATAAACAATTGTTATTAAATAGAGGTGTGTACAAACCTCTTTTAGAGAATATTGATTATTTTAATATGCGGCGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGTTTTATGCCTTTTCTTTTAGATGATTTGGTTCCGCGCGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGACTACGCAGGTAAAATCTGCCATGCTGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGTCTGTGGATTCTTTAGGTGCAGCTATACATTATTTGAATTCTAAAATTGTTGATTTGGCTCAACATTTTAGTGATTTTGGAACAAGTTTCGTTTCTAAAATTGTTCATTTCTTTAAGACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGGTTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTGGAGAGTGATATATATTTTGGTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCGGAGTGGTGCTAAAGTTGGACTGGACTCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATTTGTCTTTCAGGCAGTAAAATTTATGAAGTTGAGCGTGGCTTGTTACATTCATCTCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAAACCAAGCAAAAAGGTATTTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCGGATAGTGTAGTTGAAGTTGTTACAACTTCACTTACACCATGTGGTTATTCTGAACCACCTAAAGTTGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCTGGTGACAAATATTACCCTGTTGTGGTTGATGGTCATGTTGGACTTTTGGATCAAGCATGGAGGGTTCCTTGTGCT >PHEV_CoV_swine_USA_15TOSU1727_2015_L2_VIPR_ALG4_ARC95257_1_910_2724_1_2015_08_08_USA_Swine_Betacoronavirus_1 GTTAAACCACTTCTCTATGTAGACCAGTATGGTTGTGATTATACTGGTGGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTATTTGGAGCCAGGAACTCCCTTTTGATGTAACTGTGGCATGGCACGTTGTGCGTGATCCACGTTATGTTATGAGATTGCAGAGTGCTTCTACTATACGTAGTGTTGCATATGTTGCTAACCCTACTGAAGACTTGTGTGATGGTTCTGTTGTTATAAAAGAACCTGTGCATGTTTATGCGGATGACTCTATTATTTTACGTCAACATAATTTAGTTGACATTATGAGTTGTTTTTATATGGAGGCAGATGCAGTTGTAAATGCTTTTTATGGTGTTGATTTGAAAGATTGTGGTTTTGTTATGCAGTTTGGTTACATTGATTGCGAACAAGACTTGTGTGATTTTAAAGGTTGGGTTCCCGGTAATATGATAGATGGTTTTGCTTGCACCACTTGTGGTCATGTTTATGAAGCAGGTGATTTGCTAGCCCAATCTTCAGGTGTTTTGCCTGTTAATCCTGTGTTGCACACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAGGATTCTTTTACTCTGTATGGCCAAACTGTAGTTTACTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATGTATGGATTCCTATATTAAAATCCTCTGTTAAGTCTTATGACAGTTTGGTTTATACTGGAGTTGTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCGTTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTAGACCAGCGAGAGTTGTTAGGTGTGTCAGATGTGTGGCATAAACAATTGTTATTAAATAGAGGTGTGTATAAACCTCTTTTAGAGAATATTGATTATTTTAATATGCGGCGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGCTTTATGCCTTTTCTTTTAGATGATTTGATTCCGCGCGCATATTATTTGGCAGTAAGTGGTTATGCATTTTGTGATTATGCAGATAAAATTTGCCATGCCGTTGTGTCTAAGAGTAAAGATTTACTTGATGTGTCTCTGGATTCTTTGGGTGCAGCTATACATTATTTGAATTCTAGAATTGTTGATTTGGCTCAACATTTTAGTGATTTTGGAGCAAGTTTTGTTTCTACAATTGTTCGTTATTTTAAGACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGGTGTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTAGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCGGAGTGTTGCTAAAGTTGTATTGGACTCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATTTGTCTTTCAGGCAGAAAAATTTATGAAGTTGAGCGTGGCTTGTTACATTCATCTCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAATCCAAGCAAAAACCTATTTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCAGATAGTGTAGTTGAAGTTGTTACAACTTCACTTACACCATGTGGTTATTCTGAACCACCTAAATTTGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCTGGTGACAAATATTACCCTGTTGTGGTTGATGATCATGCTGGACTCTTGGATCAAGCATGGAGAGTACCTTGTGCT >YC_68_L2_VIPR_ALG4_AXX83360_1_862_2676_1_2015_06_05_China_Unknown_Betacoronavirus_1 GTTAAACCACTTCTCTATGTAGACCAGTATGGTTGTGATTATACTGGTAGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTACTTGGAGTCAGGAACTCCCTTTTGATGTAATTGTGGCATGGCATGTTGTGCGTGATCCACGTTATGTTATGAGATTGCAGAGTGCTGCTACTATATGTAGTGTTGCATATGTTGCTAATCCTACTGAAGACTTGTGTGATGGTTCTGTTGTTATAAAAGAACCTGTGCATGTTTATGCAGATGACTCTATTATTTTACGTCAATATAATTTATTTGACATTATGAGTCATTTTTATATGGAGGCAGATACAGTTGTAAATGCTTTTTATGGTGTTGCTTTGAAAGATTGTGGTTTTGTTATGCAGTTTGGTTACATTGATTGCGAACAAGACTCGTGTGATTTTAAAGGTTGGATTCCTGGTAACATGATAGATGGTTTTGCTTGCACCACTTGTGGTCATGTTTATGAAGTAGGTGATTTGATAGCACAATCTTCAGGTGTTTTGCCTGTTAACCCTGTATTGCATACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAAGATTCTTTTACTCTGTATGGCCAAACTGTAGTTTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCCTCTGTTAAGTCATATGACAGTTTGGTTTATACTGGAGTTTTAGGTTGCAAGGTTATTGTAAAGGAAACAAATCTCATTTGCAAAGCTCTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTACACCAACGGGAGTTGCTAGGTGTTTCAGATGTGTGGCATAAACAATTGCTAATAAATAGAGGTGTTTATAAACCTCTGTTAGAGAATATTGATTATTTTAATATGCGACGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGCTTTATGCCTTTTCTTTTAGATGATTTAGTTCCACGTGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGATTATGCAGATAAACTTTGCCATGCTGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGTCTCTGGATTCTTTAGGTGCAGCTATACATTATTTGAATTCTAAGATTGTTGATTTGGCTCAACATTTTAGTGATTTTGGAACAAGTTTTGTTTCTAAAATTATTCATTTCTTTAAGACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGGTTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTGGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCAGAGTGTTGCTAAAGTTGTACTGGACTCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATTTGTCTTTCAGGCAGAAAAATTTATGAAGTTGCGCGTGGCTTGTTACATTCATCCCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAAGCCAAGCAAAAACCTATTTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCGGATAGTGTAGTTGAAGTTGTTACAACTTCACTTACACCATGTGGCTATTCTGAACCACCTAAAGTTGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCTGGTGATAAATATTACCCTGTTGTGGTTGATGATCATGTTGGACTCTTGGATCAAGCATGGAGAGTTCCTTGTGCT >SHG_3_L2_VIPR_ALG4_BBM61214_1_925_2739_1_2014_12_Japan_Unknown_Betacoronavirus_1 GTTAAACCGCTTCTTTATGTAGACCAGTATGGTTGTGATTATACTGGTGGTCTTGCAGATGGTTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTATTTGGAGCCAGGAACTCCCTTTTGATGTAACTGTGGCATGGCACGTTGTGCGTGATCCACGTTATGTTATGAGACTGCAGAGTGCTTCTACTATACGTAGTGTTGCATATGTTGCTAACCCTACTGAAGACTTGTGTGATGGTTCTGTTGTTATAAAGGAACCTGTGCATGTTTATGCGGATGATTCTATTATTTTACGTCAACATAATTTAGTTGACATTATGAGTTGTTTTTATATGGAGGCAGATGCAGTTGTAAAGGCTTTTTATGGTGTTGATTTGAAACATTGTGGTTTTGTTATGCAGTTTGGTTATATTGACTGCGAACAAGACTCGTGTGATTTTAAAGGTTGGGTTCCTGGTAATATGATAGATGGTTTTGCTTGCACTACTTGTGGTCATGTCTATGAAACAGGTGATTTGCTAGCACAATCTTCAGGTGTTCTGCCTGTTAATCCTGTATTGCATACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAGGATTCTTTTACCCTCTATGGCCAAACTGTAGTTTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCTTCTGTTAAGTCTTATGACGGTTTGGTTTATACTGGAGTTGTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCGTTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTACACCAGCGGGAGTTGCTAGGTGTGTCAGATGTGTGGCATAAACAATTGTTATTAAATAGAGGTGTGTATAAACCTCTTTTAGAGAATATTGATTATTTTAATATGCGGCGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGTTTTATGCCTTTTCTTTTAGATGATTTGGTTCCGCGCGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGACTACGCAGATAAAATCTGCCATGCTGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGTCTCTGGATTCTTTAAGTGCAGCTATACATTATTTGAATTCTAAAATTGTTGATTTGGCTCAACATTTTAGTGGTTTTGGAACAAGTTTTGTTTCTAAAATTGTTCATTTTTTTAAGACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGGTTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTAGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCGGAGTGTTGCTAAAGTTGTACTGGACTCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATCTGTCTTTCAGGCAGTAAAATTTATGAAGTTGAGCGTGGCTTGTTACATTCATCTCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAAGCCAAGCAAAAACCCATTTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCAGATAGTGTGGTTGAAGTTGTTACAACTTCACTTACACCATGTGGTTATTTTGAACCACCTAAAGTTGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCTGGTGACAAATATTACCCTGTTGTGGTTGATGGTCATGTAGGACTCTTGGATCAAGCATGGAGGGTTCCTTGTGCT >MY_U710_12_L2_VIPR_ALG4_AQN78701_1_948_2762_1_2012_06_20_Malaysia_Human_Betacoronavirus_1 GTTAAACCACTTCTCTATGTAGACCAGTATGGTTGTGATTATACTGGTAGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTACTTGGAGTCAGGAACTCCCTTTTGATGTAATTGTGGCATGGCATGTTGTGCGTGATCCACGTTATGTTATGAGATTGCAGAGTGCTGCTACTATATGTAGTGTTGCATATGTTGCTAATCCTACTGAAGACTTGTGTGATGGTTCTGTTGTTATAAAAGAACCTGTGCATGTTTATGCAGATGACTCTATTATTTTACGTCAATATAATTTATTTGACATTATGAGTCATTTTTATATGGAGGCAGATACAGTTGTAAATGCTTTTTATGGTGTTGCTTTGAAAGATTGTGGTTTTGTTATGCAGTTTGGTTACATTGATTGCGAACAAGACTCGTGTGATTTTAAAGGTTGGATTCCTGGTAACATGATAGATGGTTTTGCTTGCACCACTTGTGGTCATGTTTATGAAGTAGGTGATTTGATAGCACAATCTTCAGGTGTTTTGCCTGTTAACCCTGTATTGCATACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAAGATTCTTTTACTCTGTATGGCCAAACTGTAGTTTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCCTCTGTTAAGTCATATGACAGTTTGGTTTATACTGGAGTTTTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCTCTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTACACCAACGGGAGTTGCTAGGTGTTTCAGATGTGTGGCATAAACAATTGCTAATAAATAGAGGTGTTTATAAACCTCTGTTAGAGAATATTGATTATTTTAATATGCGACGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGCTTTATGCCTTTTCTTTTAGATGATTTAGTTCCACGCGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGATTATGCAGATAAACTTTGCCATGCTGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGTCTCTGGATTCTTTAGGTGCAGCTATACATTATTTGAATTCTAAGATTGTTGATTTGGCTCAACATTTTAGTGATTTTGGAACAAGTTTTGTTTCTAAAATTGTTCATTTCTTTAAGACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGGTTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTGGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCAGAGTGTTGCTAAAGTTGTACTGGACTCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATTTGTCTTTCAGGCAGAAAAATTTATGAAGTTGCGCGTGGCTTGTTACATTCATCCCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAAGCCAAGCAAAAACCTATTTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCGGATAGTGTAGTTGAAGTTGTTACAACTTCACTTACACCATGTGGCTATTCTGAACCACCTAAAGTTGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCTGGTGATAAATATTACCCTGTCGTGGTTGATGATCATGTTGGACTCTTGGATCAAGCATGGAGAGTTCCTTGTGCT >TCG_12_L2_VIPR_ALG4_BBM61324_1_924_2738_1_2008_12_Japan_Unknown_Betacoronavirus_1 GTTAAACCGCTTCTTTATGTAGACCAGTATGGTTGTGATTATACTGGTGGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTATTTGGAGCCAGGAACTCCCTTTTGATGTAACTGTGGCATGGCACGTTGTGCGTGATCCACGTTATGTTATGAGACTGCAGAGTGCTTCTACTATACGTAGTGTTGCATATGTTGCTAATCCTACTGAAGACTTGTGTGATGGTTCTGTTGTTATAAAGGAACCTGTGCATGTTTATGCGGATGATTCTATTATTTTACGTCAACATAATTTAGTTGACATTATGAGTTGTTTTTATATGGAGGCAGATGCAGTTGTAAATGCTTTTTATGGTGTTGATTTGAAAAATTGTGGTTTTGTTATGCAGTTTGGTTATATTGACTGCGAACAAGACTCGTGTGATTTTAAAGGTTGGGTTCCTGGTAATATGATAGATGGTTTTGCTTGCACTACTTGTGGTCATGTTTATGAGACAGGTGATTTGCTAGCACAATCTTCAGGTGTTCTGCCTGTTAATCCTGTATTGCATACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAGGATTCTTTTACCCTGTATGGCCAAACTGTAGTTTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCTTCTGTTAAGTCTTATGACGGTTTGGTTTATACTGGAGTTGTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCGTTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTACACCAGCGGGAGTTGCTAGGTGTGTCAGATGTGTGGCATAAACAATTGTTATTAAATAGAGGTGTGTACAAACCTCTTTTAGAGAATATTGATTATTTTAATATGCGGCGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGTTTTATGCCTTTTCTTTTAGATGATTTGGTTCCGCGCGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGACTACGCAGATAAAATCTGCCATGCTGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGTCTCTGGATTCTTTAAGTGCAGCTATATATTATTTGAATTCTAAAATTGTTGATTTGGCTCAACATTTTAGTGGTTTTGGAACAAGTTTTGTTTCTAAAATTGTTCATTTCTTTAAGACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGGTTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTAGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCGGAGTGTTGCTAAAGTTGTACTGGACTCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATCTGTCTTTCAGGCAGTAAAATTTATGAAGTTGAGCGTGGCTTGTTACATTCATCTCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAAGCCAAGCAAAAACCTATTTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCAGATAGTGTGGTTGAAGTTGTTACAACTTCACTTACACCATGTGGTTATTCTGAACCACCTAAAGTTGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCTGGTGACAAATATTACCCTGTTGTGGTTGATGGTCATGTAGGACTCTTGGATCAAGCATGGAGGGTTCCTTGTGCT >5595_2007_L2_VIPR_ALG4_701216848_948_2762_1_2007_07_China_Human_Betacoronavirus_1 GTTAAACCACTTCTCTATGTAGACCAGTATGGTTGTGATTATACTGGTAGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTACTTGGAGTCAGGAACTCCCTTTTGATGTAATTGTGGCATGGCATGTTGTGCGTGATCCACGTTATGTTATGAGATTGCAGAGTGCTGCTACTATATGTAGTGTTGCATATGTTGCTAATCCTACTGAAGACTTGTGTGATGGTTCTGTTGTTATAAAAGAACCTGTGCATGTTTATGCAGATGACTCTATTATTTTACGTCAATATAATTTATTTGACATTATGAGTCATTTTTATATGGAGGCAGATACAGTTGTAAATGCTTTTTATGGTGTTGCTTTGAAAGATTGTGGTTTTGTTATGCAGTTTGGTTACATTGATTGCGAACAAGACTCGTGTGATTTTAAAGGTTGGATTCCTGGTAACATGATAGATGGTTTTGCTTGCACCACTTGTGGTCATGTTTATGAAGTAGGTGATTTGATAGCACAATCTTCAGGTGTTTTGCCTGTTAACCCTGTATTGCATACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAAGATTCTTTTACTCTGTATGGCCAAACTGTAGTTTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCCTCTGTTAAGTCATATGACAGTTTGGTTTATACTGGAGTTTTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCTCTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTACACCAACGGGAGTTGCTAGGTGTTTCAGATGTGTGGCATAAACAATTGCTAATAAATAGAGGTGTTTATAAACCTCTGTTAGAGAATATTGATTATTTTAATATGCGACGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGCTTTATGCCTTTTCTTTTAGATGATTTAGTTCCACGCGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGATTATGCAGATAAACTTTGCCATGCTGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGTCTCTGGATTCTTTAGGTGCAGCTATACATTATTTGAATTCTAAGATTGTTGATTTGGCTCAACATTTTAGTGATTTTGGAACAAGTTTTGTTTCTAAAATTGTTCATTTCTTTAAGACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGGTTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTGGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCAGAGTGTTGCTAAAGTTGTACTGGACTCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATTTGTCTTTCAGGCAGAAAAATTTATGAAGTTGCGCGTGGCTTGTTACATTCATCCCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAAGCCAAGCAAAAACCTATTTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCGGATAGTGTAGTTGAAGTTGTTACAACTTCACTTACACCATGTGGCTATTCTGAACCACCTAAAGTTGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCCGGTGATAAATATTACCCTGTTGTGGTTGATGATCATGTTGGACTCTTGGATCAAGCATGGAGAGTTCCTTGTGCT >HCoV_OC43_Seattle_USA_SC0682_2019_L2_VIPR_ALG4_QEG03736_1_910_2724_1_2019_USA_Human_Betacoronavirus_1 GTTAAACCACTTCTCTATGTAGACCAGTATGGTTGTGATTATACTGGTAGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTACTTGGAGTCAGGAACTCCCTTTTGATGTAATTGTGGCATGGCATGTTGTGCGTGATCCACGTTATGTTATGAGATTGCAGAGTGCTGCTACTATATGTAGTGTTGCATATGTTGCTAATCCTACTGAAGACTTGTGTGATGGTTCTGTTGTTATAAAAGAACCTGTGCATGTTTATGCAGATGACTCTATTATTTTACGTCAATATAATTTATTTGACATTATGAGTCATTTTTATATGGAGGCAGATACAGTTGTAAATGCTTTTTATGGTGTTGCTTTGAAAGATTGTGGTTTTGTTATGCAGTTTGGTTACATTGATTGCGAACAAGACTTGTGTGATTTTAAAGGTTGGATTCCTGGTAACATGATAGATGGTTTTGCTTGCACCACTTGTGGTCATGTTTATGAAGTAGGTGATTTGATAGCACAATCTTCAGGTGTTTTGCCTGTTAACCCTGTATTGCATACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAAGATTCTTTTACTCTGTATGGCCAAACTGTAGTTTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCCTCTGTTAAGTCATATGACAGTTTGGTTTATACTGGAGTTTTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCTCTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTACACCAACGGGAGTTGCTAGGTGTTTCAGATGTGTGGCATAAACAATTGCTAATAAATAGAGGTGTTTATAAACCTCTGTTAGAGAATATTGATTATTTTAATATGCGACGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGCTTTATGCCTTTTCTTTTAGATGATTTAGTTCCACGCGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGATTATGCAGATAAACTTTGCCATGCTGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGTCTCTGGATTCTTTAGGTGCAGCTATACATTATTTGAATTCTAAGATTGTTGATTTGGCTCAACATTTTAGTGATTTTGGAACAAGTTTTGTTTCTAAAATTGTTCATTTCTTTAAGACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGGTTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTGGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCAGAGTGTTGCTAAAGTTGTACTGGACTCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATTTGTCTTTCAGGCAGAAAAATTTATGAAGTTGCGCGTGGCTTGTTACATTCATCCCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAAGCCAAGCAAAAACCTATCTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCGGATAGTGTAGTTGAAGTTGTTACAACTTCACTTACACCATGTGGCTATTCTGAACCACCTAAAGTTGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCTGGTGATAAATATTACCCTGTCGTGGTTGATGATCATGTTGGACTTTTGGATCAAGCATGGAGAGTTCCTTGTGCT >TCG_9_L2_VIPR_ALG4_BBM61424_1_913_2727_1_2008_03_Japan_Unknown_Betacoronavirus_1 GTTAAACCGCTTCTTTATGTAGACCAGTATGGTTGTGATTATACTGGTGGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTATTTGGAGCCAGGAACTCCCTTTTGATGTAATTGTGGCATGGCACGTTGTGCGTGATCCACGTTATGTTATGAGACTGCAGAGTGCTTCTACTATACGTAGTGTTGCATATGTTGCTAACCCTACTGAAGACTTGTGTGATGGTTCTGTTGTTATAAAGGAACCTGTGCATGTTTATGCGGATGATTCCATTATTTTACGTCAACATAATTTAGTTGACATTATGAGTTGTTTTTATATGGAGGCAGATGCAGTTGTAAATGCTTTTTATGGTGTTGATTTGAAAAATTGTGGTTTTGTTATGCAGTTTGGTTATATTGACTGCGAACAAGACTCGTGCGATTTTAAAGGTTGGGTTCCTGGTAATATGATAGATGGTTTTGCTTGCACTACTTGTGGTCATGTTTATGAGACAGGTGATTTGCTAGCACAATCTTCAGGTGTTCTGCCTGTTAATCCTGTATTGCATACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAGGATTCTTTTACCCTGTATGGCCAAACTGTGGTTTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCTTCTGTTAAGTCTTATGACGGTTTGGTTTATACTGGAGTTGTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCTTTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTACACCAGCGGGAGTTGCTGGGTGTGTCAGATGTGTGGCATAAACAATTGTTATTAAATAGAGGTGTGTATAAACCTCTTTTAGAGAATATTGATTATTTTAATATGCAGCGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGTTTTATGCCTTTTCTTTTAGATGATTTGGTTCCGCGCGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGACTACGCAGATAAAATCTGCCATGCTGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGTCTCTGGATTCTTTAAGTGCAGCTATACATTATTTGAATTCTAAAATTGTTGATTTGGCTCAACATTTTAGTGGTTTTGGAACAAGTTTTGTTTCTAAAATTGTTCATTTCTTTAAGACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGGTTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTAGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCGGAGTGTTGCTAAAGTTGTACTGGACTCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATCTGTCTTTCAGGCAGTAAAATTTATGAAGTTGAGCGTGGCTTGTTACATTCATCTCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAAGCCAAGCAAAAACCTATTTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCAGATAGTGTGGTTGAAGTTGTTACAACTTCACTTACACCATGTGGTTATTCTGAACCACCTAAAGTTGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCTGGTGACAAATATTACCCTGTTGTGGTTGATGGTCATGTAGGACTCTTGGATCAAGCATGGAGGGTTCCTTGTGCT >UNKNOWN_FJ425185_L2_VIPR_ALG4_215478110_906_2720_1_1994_01_01_USA_Antelope_Betacoronavirus_1 GTTAAACCGCTTCTTTATGTAGACCAGTATGGTTGTGATTATACTGGTGGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTATTTGGAGCCAGGAACTCCCTTTTGATGTAACTGTGGCATGGCACGTTGTGCGTGATCCACGTTATGTTATGAGACTGCAGAGTGCTTCTACTATACGTAGTGTTGCATATGTTGCTAACCCTACTGAAGACTTGTGTGATGGTTCTGTTGTTATAAAGGAACCTGTGCATGTTTATGCGGATGACTCTATTATTTTACGTCAACATAATTTAGTTGACATTATGAGTTGTTTTTATATGGAGGCAGATGCAGTTGTAAATGCTTTTTATGGTGTTGATTTGAAAGATTGTGGTTTTGTTATGCAGTTTGGTTATATTGACTGCGAACAAGACTTGTGTGATTTTAAAGGTTGGGTTCCTGGTAATATGATAGATGGTTTTGCTTGCACTACTTGTGGTCATGTTTATGAGACAGGTGATTTGCTAGCACAATCTTCAGGTGTTCTGCCTGTTAATCCTGTATTGCATACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAGGATTCTTTTACCCTGTATGGCCAAACTGTAGTTTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCTTCTGTTAAGTCTTATGACGGTTTGGTTTATACTGGAGTTGTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCGTTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTACACCAGCGGGAGTTGCTAGGTGTGTCAGATGTGTGGCATAAACAATTGTTATTAAATAGAGGGGTGTACAAACCTCTTTTAGAGAATATTGATTATTTTAATATGCGGCGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGGTTTATGCCTTTTCTTTTAGATGATTTGGTTCCGCGCGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGACTACGCAGATAAAATCTGCCATGCTGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGTCTCTGGATTCTTTAAGTGCAGCTATACATTATTTGAATTCTAAAATTGTTGATTTGGCTCAACATTTTAGTGATTTTGGAACAAGTTTTGTTTCTAAAATTGTTCATTTCTTTAAGACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGGTTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTAGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCGGAGTGTTGCTAAAGTTGTACTGGACTCCTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATTTGTCTCTCAGGCAGTAAAATTTATGAAGTTGAGCGTGGCTTGTTACATTCATCTCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAAGCCAAGCAAAAACCTATTTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCAGATAGTGTGGTTGAAGTTGTTACAACTTCACTTACACCATGTGGTTATTCTGAACCACCTAAAGTTGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCTGGTGACAAATATTACCCTGTTGTGGTTGATGGTCATGTAGGACTCTTGGATCAAGCATGGAGGGTTCCTTGTGCT >PHEV_CoV_swine_USA_15TOSU0331_2015_L2_VIPR_ALG4_ARC95209_1_910_2724_1_2015_08_15_USA_Swine_Betacoronavirus_1 GTTAAACCGCTTCTCTATGTAGACCAGTATGGTTGTGATTATACTGGTGGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTATTTGGAGTCAGGAACTCCCTTTTGATGTAACTGTGGCATGGCACGTCGTGCGTGATCCACGTTATGTTATGAGATTGCAGAGTGCTTCTACTATACGTAGTGTTGCATATGTTGCTAACCCTACTGAAGACTTGTGTGATGGTTCTGTTGTTATAAAAGAACCTGTGCATGTTTATGCGGATGACTCTATTATTTTACGTCAACATAATTTAGTTGACATTATGAGTTGTTTTTATATGGAGGCAGATGCAGTTGTAAATGCTTTTTATGGTGTTGATTTGAAAGATTGTGGTTTTGTTATGCAGTTTGGTTACATTGATTGCGAACAAGACTTGTGTGATTTTAAAGGTTGGGTTCCTGGTAATATGATAGATGGTTTTGCTTGCACCACTTGTGGTCATGTTTATGAAACAGGTGATTTGCTAGCACAATCTTCAGGTGTTTTGCCTGTTAATCCTGTGTTGCACACTAAGAGTGCAGCAGGCTATGGTGGTTTTGGTTGTAAGGATTCTTTTACTCTGTATGGCCAAACTGTAGTTTACTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCCTCTGTTAAGTCTTATGACAGTTTGGTTTATACTGGAGTTGTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCGTTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTAGACCAGCGAGAGTTGCTAGGTGTGTCAGATGTGTGGCATAAACAATTGTTATTAAATAGAGGTGTGTATAAACCTCTTTTAGAGAATATTGATTATTTTAATATGCGGCGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGCTTTATGCCTTTTCTTTTAGATGATTTGGTTCCGCGCGCATATTATTTGGCAGTAAGTGGTTATGCATTTTGTGATTATGCAGATAAACTTTGCCATGCCGTTGTGTCTAAGAGTAAAGATTTACTTGATGTGTCTCTGGATTCTTTGGGTGCAGCTATACATTATTTGAATTCTAGAATTGTTGATTTGGCTCAACATTTTAGTGATTTTGGAGCAAGTTTTGTTTCTACAATTGTTCGTTATTTTAAAACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGGTGTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTAGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCGGAGTGTTGTTAAAGTTGTATTGGAATCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATTTGTCTTTCAGGCAGAAAAATTTATGAAGTTGAGCGTGGCTTGTTACATTCATCTCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAAGCCAAACAAAAACCTATTTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCGGATAGTGTAGTTGAGGTTGTTACAACTTCACTTACACCATGTGGTTATTCTGAACCACCTAAATTTGCAGATAAGATTTGCATTGTGGATAATGTTTATATGGCCAAGGCTGGTGACAAATATTACCCTGTTGTGGTTGATGATCATGCTGGACTCTTGGATCAAGCATGGAGAGTTCCTTGTGCT >87309_Belgium_2003_L2_VIPR_ALG4_62530889_949_2763_1_NA_Belgium_Unknown_Betacoronavirus_1 GTTAAACCACTTCTCTATGTAGACCAGTATGGTTGTGATTATACTGGTAGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTACTTGGAGTCAGGAACTCCCTTTTGATGTAATTGTGGCATGGCATGTTGTGCGTGATCCACGTTATGTTATGAGATTGCAGAGTGCTGCTACTATATGTAGTGTTGCATATGTTGCTAATCCTACTGAAGACTTGTGTGATGGTTCTGTTGTTATAAAAGAACCTGTGCATGTTTATGCAGATGACTCTATTATTTTACGTCAATATAATTTATTTGACATTATGAGTCATTTTTATATGGAGGCAGATACAGTTGTAAATGCTTTTTATGGTGTTGCTTTGAAAGATTGTGGTTTTGTTATGCAGTTTGGTTACATTGATTGCGAACAAGACTCGTGTGATTTTAAAGGTTGGATTCCTGGTAACATGATAGATGGTTTTGCTTGCACCACTTGTGGTCATGTTTATGAAGTAGGTGATTTGATAGCACAATCTTCAGGTGTTTTGCCTGTTAACCCTGTATTGCATACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAAGATTCTTTTACTCTGTATGGCCAAACTGTAGTTTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCCTCTGTTAAGTCATATGACAGTTTGGTTTATACTGGAGTTTTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCTCTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTACACCAACGGGAGTTGCTAGGTGTTTCAGATGTGTGGCATAAACAATTGCTAATAAATAGAGGTGTTTATAAACCTCTGTTAGAGAATATTGATTATTTTAATATGCGACGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGCTTTATGCCTTTTCTTTTAGATGATTTAGTTCCACGCGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGATTATGCAGATAAACTTTGCCATGCTGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGTCTCTGGATTCTTTAGGTGCAGCTATACATTATTTGAATTCTAAGATTGTTGATTTGGCTCAACATTTTAGTGATTTTGGAACAAGTTTTGTTTCTAAAATTGTTCATTTCTTTAAGACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGGTTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTGGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCAGAGTGTTGCTAAAGTTGTACTGGACTCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATTTGTCTTTCAGGCAGAAAAATTTATGAAGTTGAGCGTGGCTTGTTACATTCATCCCAATTGCCATTAGATGTTTATAATTTAACCATGCCTAGTCAAGTTCAGAAAGCCAAGCAAAAACCTATTTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCGGATAGTGTAGTTGAAGTTGTTACAACTTCACTTACACCATGTGGTTATTCTGAACCACCTAAAGTTGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCTGGTGATAAATATTACCCTGTTGTGGTTGATGATCATGTTGGACTCTTGGATCAAGCATGGAGAGTTCCTTGTGCT >5240_2007_L2_VIPR_ALG4_701216652_948_2762_1_2007_05_China_Human_Betacoronavirus_1 GTTAAACCACTTCTCTATGTAGACCAGTATGGTTGTGATTATACTGGTAGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTACTTGGAGTCAGGAACTCCCTTTTGATGTAATTGTGGCATGGCATGTTGTGCGTGATCCACGTTATGTTATGAGATTGCAGAGTGCTGCTACTATATGTAGTGTTGCATATGTTGCTAATCCTACTGAAGACTTGTGTGATGGTTCTGTTGTTATAAAAGAACCTGTGCATGTTTATGCAGATGACTCTATTATTTTACGTCAATATAATTTATTTGACATTATGAGTCATTTTTATATGGAGGCAGATACAGTTGTAAATGCTTTTTATGGTGTTGCTTTGAAAGATTGTGGTTTTGTTATGCAGTTTGGTTACATTGATTGCGAACAAGACTCGTGTGATTTTAAAGGTTGGATTCCTGGTAACATGATAGATGGTTTTGCTTGCACCACTTGTGGTCATGTTTATGAAGTAGGTGATTTGATAGCACAATCTTCAGGTGTTCTGCCTGTTAACCCTGTATTGCATACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAAGATTCTTTTACTCTGTATGGCCAAACTGTAGTTTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCCTCTGTTAAGTCATATGACAGTTTGGTTTATACTGGAGTTTTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCTCTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTACACCAACGGGAGTTGCTAGGTGTTTCAGATGTGTGGCATAAACAATTGCTAATAAATAGAGGTGTTTATAAACCTCTGTTAGAGAATATTGATTATTTTAATATGCGACGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGCTTTATGCCTTTTCTTTTAGATGATTTAGTTCCACGCGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGATTATGCAGATAAACTTTGCCATGCTGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGTCTCTGGATTCTTTAGGTGCAGCTATACATTATTTGAATTCTAAGATTGTTGATTTGGCTCAACATTTTAGTGATTTTGGAACAAGTTTTGTTTCTAAAATTGTTCATTTCTTTAAGACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGGTTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTGGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCAGAGTGTTGCTAAAGTTGTACTGGACTCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATTTGTCTTTCAGGCAGAAAAATTTATGAAGTTGCGCGTGGCTTGTTACATTCATCCCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAAGCCAAGCAAAAACCTATTTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCGGATAGTGTAGTTGAAGTTGTTACAACTTCACTTACACCATGTGGCTATTCTGAACCACCTAAAGTTGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCTGGTGATAAATATTACCCTGTTGTGGTTGATGATCATGTTGGACTCTTGGATCAAGCATGGAGAGTTCCTTGTGCT >IWT_4_L2_VIPR_ALG4_BBM60974_1_925_2739_1_2011_06_Japan_Unknown_Betacoronavirus_1 GTTAAACCGCTTCTTTATGTAGACCAGTATGGTTGTGATTATACTGGTGGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTATTTGGAGCCAGGAACTCCCTTTTGATGTAATTGTGGCATGGCACGTTGTGCGTGATCCACGTTATGTTATGAGACTGCAGAGTGCTTCTACTATACGTAGTGTTGCATATGTTGCTAATCCTACTGAGGACTTGTGTGATGGTTCTGTTGTTATAAAGGAACCTGTGCATGTTTATGCGGATGATTCTATTATTTTACGTCAACATAATTTAGTTGACATTATGAGTTGTTTTTATATGGAGGCAGATGCAGTTGTAAATGCTTTTTATGGCGTTGATTTGAAAAATTGTGGTTTTGTTATGCAGTTTGGTTATATTGACTGCGAACAAGACTTGTGTGATTTTAAAGGTTGGGTTCCTGGTAATATGATAGATGGTTTTGCTTGCACTACTTGTGGTCATGTTTATGAGACAGGTGATTTGCTAGCACAATCTTCAGGTGTTTTGCCTGTTAATCCTGTATTGCATACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAGGATTCTTTTACCCTGTATGGCCAAACTGTAGTTTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCTTCTGTTAAGTCTTATGACGGTTTGGTTTATACTGGAGTTGTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCGTTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTACACCAGCGGGAGTTGCTAGGTGTGTCAGATGTGTGGCATAAACAATTGTTATTAAATAGAGGTGTGTACAAACCTCTTTTAGAGAATATTGATTATTTTAATATGCGGCGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGTTTTATGCCTTTTCTTTTAGATGATTTGGTTCCGTGCGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGACTACGCAGATAAAATCTGCCATGCTGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGTCTCTGGATTCTTTAAGTGCAGCTATACATTATTTGAATTCTAAAATCGTTGATTTGGCTCAACATTTTAGTGGTTTTGGAACAAGTTTTGTTTCTAAAATTGTTCATTTCTTTAAGACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGGTTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTAGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCGGAGTGTTGCTAAAGTTGTACTGGACTCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATCTGTCTTTCAGGCAGTAAAATTTATGAAGTTGAGCGTGGCTTGTTACATTCATCTCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAAGCCAAGCAAAAACCTATTTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCAGATAGTGTGGTTGAAGTTGTTACAACTTCACTTACACCATGTGGTTATTCTGAACCACCCAAAGTTGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCTGGTGACAAATATTACCCTGTTGTGGTTGATGGTCATGTAGGACTCTTGGATCAAGCTTGGAGGGTTCCTTGTGCT >OC43_human_USA_873_6_1987_L2_VIPR_ALG4_530802456_929_2743_1_1987_03_05_USA_Human_Betacoronavirus_1 GTTAAACCACTTCTCTATGTAGACCAGTATGGTTGTGATTATACTGGTAGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTACTTGGAGTCAGGAACTCCTTTTTGATGTAATTGTGGCATGGCATGTTGTGCGTGATCCACGTTATGTTATGAGATTGCAGAGTGCTGCTACTATACGTAGTGTTGCATATGTTGCTAACCCTACTGAAGACTTGTGTAATGGTTCTGTTGTTATAAAAGAACCTGTGCATGTTTATGCAGATGACTCTATTATTTTACGTCAATATAATTTAGTTGACATTATGAGTCATTTTTATATGGAGGCAGATACAGTTGTAAATGCTTTTTATGGTGTTGCTTTGAAAGATTGCGGTTTTGTTATGCAGTTTGGTTACATTGATTGCGAACAAGACTCGTGTGATTTTAAAGGTTGGATTCCTGGTAACATGATAGATGGTTTTGCTTGCACCACTTGTGGTCATGTTTATGAAGTAGGTGATTTGATAGCACAATCTTCAGGTGTTTTGCCTGTTAACCCTGTATTGCATACTAAGAGTGCAGCAGGCTATGGTGGTTTTGGTTGTAAAGATTCTTTTACTCTGTATGGCCAAACTGTAGTTTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCCTCTGTTAAGTCATATGACAGTTTGGTTTATACTGGAGTTTTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCTTTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTACACCAACGGGAGTTGCTAGGTGTTTCAGATGTGTGGCATAAACAATTGCTATTAAATAGAGGTGTTTATAAACCTCTGTTAGAGAATATTGATTATTTTAATATGCGGCGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGCTTTATGCCTTTTCTTTTAGATGATTTAGTTCCACGCGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGATTATACAGATAAACTTTGCCATGCCGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGTCTCTGGATTCTTTAGGTGCAGCTATACATTATTTGAATTCTAAGATTGTTGATTTGGCTCAACATTTTAGTGATTTTGGAACAAGTTTCGTTTCTAAAATTGTTCATTTCTTTAAGACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGGTTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTGGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCAGAGTGTTGCTAAAGTTGTACTGGACTCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATTTGTCTTTCAGGCAGAAAAATTTATGAAATTGAGCGTGGCTTGTTACATTCATCCCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAAGCTAAGCAAAAACCTATTTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCGGATAGTGTAGTTGAAGTTGTTACAACTTCACTTACACCATGTGGTTATTCTGAACCACCTAAAGTTGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCTGGTGACAAATATTACCCTGTTGTGGTTGATGATCATGTTGGACTCTTGGATCAAGCATGGAGAGTTCCTTGTGCT >IWT_19_L2_VIPR_ALG4_BBM61084_1_925_2739_1_2016_12_Japan_Unknown_Betacoronavirus_1 GTTAAACCGCTTCTTTATGTAGACCAGTATGGTTGTGATTATACTGGTGGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTATTTGGAGCCAGGAACTCCCTTTTGATGTAACTGTGGCATGGCACGTTGTGCGTGATCCACGTTATGTTATGAGACTGCAGAGTGCTTCTACTATACGTAGTGTTGCATATGTTGCTAACCCTACTGAAGACTTGTGTGATGGTTCTGTTGTTATAAAGGAACCTGTGCATGTTTATGCGGATGACTCTATTATTTTACGTCAACATAATTTAGTTGACATTATGAGTTGTTTTTATATGGAGGCAGATGCAGTTGTAAATGCTTTTTATGGTGTTGATTTGAAAAATTGTGGTTTTGTTATGCAGTTTGGTTATATTGACTGCGAACAAGACTTGTGTGGTTTTAAAGGTTGGGTTCCTGGTAATATGATAGATGGTTTTGCTTGCACTACTTGTGGTCATGTCTATGAGACAGGTGATTTGCTAGCACAATCTTCAGGTGTTTTGCCTGTTAATCCTGTATTGCATACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAGGATTCTTTTACCCTGTATGGCCAAACCGTGGTTTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAGTCTTCTGTTAAGTCTTATGACGGTTTGGTTTACACTGGAGTTGTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCGTTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTACACCAGCGGGAGTTGCTAGGTGTGTCAGATGTGTGGCATAAACAATTGTTATTAAATAGAGGTGTGTACAAACCTCTTTTAGAGAATATTGATTATTTTAATATGCGGCGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGTTTTATGCCTTTTCTTTTAGATGATTTGGTTCCGCGCGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGACCACGCAGATAAAATCTGCCATGCTGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGTCTCTGGATTCTTTAAGTGCAGCTATACATTATTTGAATTCTAAAATTGTTGATTTGGCTCAACATTTTAGTGATTTTGGAACAAGTTTTGTTTCTAAAATTGTTCATTTCTTTAAGACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGGTTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTAGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCGGAGTGTTGTTAAAGTTGTACTGGACTCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATCTGTATTTCAGGCAGTAAAATTTATGAAGTTGAGCGTGGCTTGTTACATTCATCTCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAAGCCAAGCAAAAACCTATTTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCAGATAGTGTGGTTGAAGTTGTTACAACTTCACTTGCACCATGTGGTTATTCTGAACCACCTAAAGTTGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCTGGTGACAAATATTACCCTGTTGTGGTTGATGGTCATGTAGGACTCTTGGATCAAGCATGGAGGGTTCCTTGTGCT >OC43_human_USA_9712_13_1997_L2_VIPR_ALG4_530802292_929_2743_1_1997_12_11_USA_Human_Betacoronavirus_1 GTTAAACCACTTCTCTATGTAGACCAGTATGGTTGTGATTATACTGGTAGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTACTTGGAGTCAGGAACTCCTTTTTGATGTAATTGTGGCATGGCATGTTGTGCGTGATCCACGTTATGTTATGAGATTGCAGAGTGCTGCTACTATACGTAGTGTTGCATATGTTGCTAATCCTACTGAAGACTTGTGTGATGGTTCTGTTGTTATAAAAGAACCTGTGCATGTTTATGCAGATGACTCTATTATTTTACGTCAATATAATTTAGTTGACATTATGAGTCATTTTTATATGGAGGCAGATACAGTTGTAAATGCTTTTTATGGTGTTGCTTTGAAAGATTGTGGTTTTGTTATGCAGTTTGGTTACATTGATTGCGAACAAGACTCGTGTGATTTTAAAGGTTGGATTCCTGGTAACATGATAGATGGTTTTGCTTGCACCACTTGTGGTCATGTTTATGAAGTAGGTGATTTGATAGCACAATCTTCAGGTGTTTTGCCTGTTAATCCTGTATTGCATACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAAGATTCTTTTACTCTGTATGGCCAAACTGTAGTTTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCCTCTGTTAAGTCATATGACAGTTTGGTTTATACTGGAGTTTTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCTCTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTACATCAACGGGAGTTGCTAGGTGTTTCAGATGTGTGGCATAAACAATTGCTATTAAATAGAGGTGTTTATAAACCTCTGTTAGAGAATATTGATTATTTTAATATGCGACGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGCTTTATGCCTTTTCTTTTAGATGATTTAGTTCCACGCGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGATTATGCAGATAAACTTTGCCATGCTGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGGCTCTGGATTCTTTAGGTGCAGCTATACATTATTTGAATTCTAAGATTGTTGATTTGGCTCAACATTTTAGTGATTTTGGAACAAGTTTCGTTTCTAAAATTGTTCATTTCTTTAAGACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGGTTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTGGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCAGAGTGTTGCTAAAGTTGTACTGGACTCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATTTGTCTTTCAGGCAGAAAAATTTATGAAGTTGAGCGTGGCTTGTTACATTCATCCCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAAGCCAAGCAAAAACCTATTTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCGGATAGTGTAGTTGAAGTTGTTACAACTTCACTTACACCATGTGGTTATTCTGAACCACCTAAAGTTGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCTGGTGATAAATATTACCCTGTTGTGGTTGATGATCATGTTGGACTCTTGGATCAAGCATGGAGAGTTCCTTGTGCT >LY341_L2_VIPR_ALG4_721347196_949_2763_1_2011_10_03_China_Human_Betacoronavirus_1 GTTAAACCACTTCTCTATGTAGACCAGTATGGTTGTGATTATACTGGTAGTCTTGCAGATGGCTTAGGGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTACTTGGAGTCAGGAACTCCCTTTTGATGTAATTGTGGCATGGCATGTTGTGCGTGATCCACGTTATGTTATGAGATTGCAGAGTGCTGCTACTATATGTAGTGTTGCATATGTTGCTAATCCTACTGAAGACTTGTGTGATGGTTCTGTTGTTATAAAAGAACCTGTGCATGTTTATGCAGATGACTCTATTATTTTACGTCAATATAATTTATTTGACATTATGAGTCATTTTTATATGGAGGCAGATACAGTTGTAAATGCTTTTTATGGTGTTGCTTTGAAAGATTGTGGTTTTGTTATGCAGTTTGGTTACATTGATTGCGAACAAGACTCGTGTGATTTTAAAGGTTGGATTCCTGGTAACATGATAGATGGTTTTGCTTGCACCACTTGTGGTCATGTTTATGAAGTAGGTGATTTGATAGCACAATCTTCAGGTGTTTTGCCTGTTAACCCTGTATTGCATACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAAGATTCTTTTATTCTGTATGGCCAAACTGTAGTTTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCCTCTGTTAAGTCATATGACAGTTTGGTTTATACTGGAGTTTTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCTCTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTACACCAACGGGAGTTGCTAGGTGTTTCAGATGTGTGGCATAAACAATTGCTAATAAATAGAGGTGTTTATAAACCTCTGTTAGAGAATATTGATTATTTTAATATGCGACGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGCTTTATGCCTTTTCTTTTAGATGATTTAGTTCCACGCGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGATTATGCAGATAAACTTTGCCATGCTGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGTCTCTGGATTCTTTAGGTGCAGCTATACATTATTTGAATTCTAAGATTGTTGATTTGGCTCAACATTTTAGTGATTTTGGAACAAGTTTTGTTTCTAAAATTGTTCATTTCTTTAAGACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGGTTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTGGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCAGAGTGTTGCTAAAGTTGTACTGGACTCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATTTGTCTTTCAGGCAGAAAAATTTATGAAGTTGCGCGTGGCTTGTTACATTCATCCCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAAGCCAAGCAAAAACCTATTTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCGGATAGTGTAGTTGAAGTTGTTACAACTTCACTTACACCATGTGGCTATTCTGAACCACCTAAAGTTGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCTGGTGATAAATATTACCCTGTTGTGGTTGATGATCATGTTGGACTCTTGGATCAAGCATGGAGAGTTCCTTGTGCT >Kakegawa_L2_VIPR_ALG4_155369168_949_2763_1_NA_Japan_Unknown_Betacoronavirus_1 GTTAAACCGCTTCTCTATGTAGACCAGTATGGTTGTGATTATACTGGTGGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAGGACATTGCAAGAAATGAAGGCATTATTTCCTATTTGGAGCCAGGAACTCCCTTTTGATGTAACTGTGGCATGGCACGTTGTGCGTGATCCACGTTATGTTATGAGACTGCAGAGTGCTTCTACTATACGTAGTGTTGCATATGTTGCTAACCCTACTGAAGACTTGTGTGATGGTTCTGTTGTTATAAAGGAACCTGTGCATGTTTATGCGGATGACTCTATTATTTTACGTCAACATAATTTAGTTGACATTATGAGTTGTTTTTATATGGAGGCAGATGCAGTTGTAAATGCTTTTTATGGTGTTGATTTGAAAGATTGTGGTTTTGTTATGCAGTTTGGTTATATTGACTGCGAACATGACTTGTGTGATTTTAAAGGTTGGGTTCCTGGTAATATGATAGATGGTTTTGCTTGCACTACTTGTGGTCATGTTTATGAGACAGGTGATTTGCTAGCACAATCTTCAGGTGTTTTGCCTGTTAATCCTGTATTGCATACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAGGATTCTTTTACCCTGTATGGCCAAACTGTAGTTTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCTTCTGTTAAGTCTTATGACGGTTTGGTTTATACTGGAGTTGTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCGTTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTACACCAGCGGGAGTTGCTAGGTGTGTCAGATGTGTGGCATAAACAATTGTTATTAAATAGAGGTGTGTACAAACCTCTTTTAGAGAATATTGATTATTTTAATATGCGGCGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGTTTTATGCCTTTTCTTTTAGATGATTTGGTTCCGCGCGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGACTACGCAGGTAAAATCTGCCATGCTGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGTCTCTGGATTCTTTAGGTGCAGCTATACATTATTTGAATTCTAAAATTGTTGATTTGGCTCAACATTTTAGTGATTTTGGAACAAGTTTCGTTTCTAAAATTGTTCATTTCTTTAAGACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGGTTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTGGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCGGAGTGTTGCTAAAGTTGTACTGGACTCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATTTGTCTTTCAGGCAGTAAAATTTATGAAGTTGAGCGTGGCTTGTTACATTCATCTCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAAACCAAGCAAAAACCTATTTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCGGATAGTGTAGTTGAAGTTGTTACAACTTCACTTACACCATGTGGTTATTCTGAACCACCTAAAGTTGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCTGGTGACAAATATTACCCTGTTGTGGTTGATGGTCATGTTGGACTTTTGGATCAAGCATGGAGGGTTCCTTGTGCT >US_OH3_TC_2006_L2_VIPR_ALG4_145208979_933_2747_1_NA_USA_Giraffe_Betacoronavirus_1 GTTAAACCGCTTCTTTATGTAGACCAGTATGGTTGTGATTATACTGGTGGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTATTTGGAGCCAGGAACTCCCTTTTGATGTAACTGTGGCATGGCACGTTGTGCGTGATCCACGTTATGTTATGAGACTGCAGAGTGCTTCTACTATACGTAGTGTTGCATATGTTGCTAACCCTACTGAAGACTTGTGTGATGGTTCTGTTGTCATAAAGGAACCTGTGCATGTTTATGCGGATGACTCTATTATTTTACGTCAACATAATTTAGTTGACATTATGAGTTGTTTTTATATGGAGGCAGATGCAGTTGTAAATGCTTTTTATGGTGTTGATTTGAAAGATTGTGGTTTTGTTATGCAGTTTGGTTATATTGACTGCGAACAAGACTTGTGTGATTTTAAAGGTTGGGTTCCTGGTAATATGATAGATGGTTTTGCTTGCACTACTTGTGGTCATGTCTATGAGACAGGTGATTTGCTAGCACAATCTTCAGGTGTTCTGCCTGTTAATCCTGTATTGCATACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAGGATTCTTTTACCCTGTATGGCCAAACTGTAGTTTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCTTCTGTTAAGTCTTATGACGGTTTGGTTTATACTGGAGTTGTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCGTTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTACACCAGCGGGAGTTGCTAGGTGTGTCAGATGTGTGGCATAAACAATTGTTATTAAATAGAGGTGTGTACAAACCTCTTTTAGAGAATATTGATTATTTTAATATGCGGCGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGTTTTATGCCTTTTCTTTTAGATGATTTGGTTCCGCGCGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGACTACGCAGATAAAATCTGCCATGCTGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGTCTCTGGATTCTTTAAGTGCAGCTATATATTATTTGAATTCTAAAATTGTTGATTTGGCTCAACATTTTAGTGATTTTGGAACAAGTTTTGTTTCTAAAATTGTTCATTTCTTTAAGACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGGTTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTAGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCGGAGTGTTGCTAAAGTTGTACTGGACTCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATTTGTCTCTCAGGCAGTAAAATTTATGAAGTTGAGCGTGGCTTGTTACATTCATCTCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAAGCCAAGCAAAAACCTATTTATTTAAAAGGTTCTGGTACTGATTTTTCATTAGCAGATAGTGTGGTTGAAGTTGTTACAACTTCACTTACACCATGTGGTTATTCTGAACCACCTAAAGTAGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCTGGTGACAAATATTACCCTGTTGTGGTTGATGGTCATGTAGGACTCTTGGATCAAGCATGGAGGGTTCCTTGTGCT >TCG_27_L2_VIPR_ALG4_BBM61514_1_925_2739_1_2017_12_Japan_Unknown_Betacoronavirus_1 GTTAAACCGCTTCTTTATGTAGACCAGTATGGTTGTGATTATACTGGTGGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTATTTGGAGCCAGGAACTCCATTTTGATGTAATTGTGGCATGGCACGTTGTGCGTGATCCACGTTATGTTATGAGACTGCAGAGTGCTTCTACTATACGTAGTGTTGCATATGTTGCTAACCCTACTGAAGATTTGTGTGATGGTTCTGTTGTTATAAAGGAACCTGTGCATGTTTATGCGGATGATTCCATTATTTTACGTCAACATAATTTAGTTGACATTATGAGTTGTTTTTATATGGAGGCAGATGCAGTTGTAAATGCTTTTTATGGTGTTGATTTGAAAAATTGTGGTTTTGTTATGCAGTTTGGTTATATTGACTGCGAACAAGACTCGTGTGATTTTAAAGGTTGGGTTCCTGGTAATATGATAGATGGTTTTGCTTGCACTACTTGTGGTCATGTTTATGAGACAGGTGATTTGCTAGCACAATCTTCAGGTGTTCTGCCTGTTAATCCTGTATTGCACACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAGGATTCTTTTACCCTGTATGGCCAAACTGTGGTTTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCTTCTGTTAAGTCTTATGACGGTTTGGTTTATACTGGAGTTGTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCGTTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTACACCAGCGGGAGTTGCTAGGTGTGTCAGATGTGTGGCATAAACAATTGTTATTAAATAGAGGTGTGTATAAACCTCTTTTAGAGAATATTGATTATTTTAATATGCAGCGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGTTTTATGCCTTTTCTTTTAGATGATTTGGTTCCGCGCGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGACTACGCAGATAAAATCTGCCATGCTGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGTCTCTGGATTCTTTAAGTGCAGCTATACATTATTTGAATTCTAAAATTGTTGATTTGGCTCAACATTTTAGTGGTTTTGGAACAAGTTTTGTTTCTAAAATTGTTCATTTCTTTAAGACTTTTACTACTGGCACTGCTCTTGCATTTGCATGGGTTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTAGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCGGAGTGTTGCTAAAGTTGTACTGGACTCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATCTGTCTTTCAGGCAGTAAAATTTATGAAGTTGAGCGTGGCTTGTTACATTCATCTCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAAGCCAAGCAAAAACCTATTTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCAGATAGTGTGGTTGAAGTTGTTACAACTTCACTTACACCATGTGGTTATTCTGAACCACCTAAAGTTGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCTGGTGACAAATATTACCCTGTTGTGGTTGATGGTCATGTAGGACTCTTGGATCAAGCATGGAGGGTTCCTTGTGCT >5345_2007_L2_VIPR_ALG4_701216659_948_2762_1_2007_05_China_Human_Betacoronavirus_1 GTTAAACCACTTCTCTATGTAGACCAGTATGGTTGTGATTATACTGGTAGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTACTTGGAGTCAGGAACTCCCTTTTGATGTAATTGTGGCATGGCATGTTGTGCGTGATCCACGTTATGTTATGAGATTGCAGAGTGCTGCTACTATATGTAGTGTTGCATATGTTGCTAATCCTACTGAAGACTTGTGTGATGGTTCTGTTGTTATAAAAGAACCTGTGCATGTTTATGCAGATGACTCTATTATTTTACGTCAATATAATTTATTTGACATTATGAGTCATTTTTATATGGAGGCAGATACAGTTGTAAATGCTTTTTATGGTGTTGCTTTGAAAGATTGTGGTTTTGTTATGCAGTTTGGTTACATTGATTGCGAACAAGACTCGTGTGATTTTAAAGGTTGGATTCCTGGTAACATGATAGATGGTTTTGCTTGCACCACTTGTGGTCATGTTTATGAAGTAGGTGATTTGATAGCACAATCTTCAGGTGTTTTGCCTGTTAACCCTGTATTGCATACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAAGATTCTTTTACTCTGTATGGCCAAACTGTAGTTTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCCTCTGTTAAGTCATATGACAGTTTGGTTTATACTGGAGTTTTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCTCTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTACACCAACGGGAGTTGCTAGGTGTTTCAGATGTGTGGCATAAACAATTGCTAATAAATAGAGGTGTTTATAAACCTCTGTTAGAGAATATTGATTATTTTAATATGCGACGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGCTTTATGCCTTTTCTTTTAGATGATTTAGTTCCACGCGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGATTATGCAGATAAACTTTGCCATGCTGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGTCTCTGGATTCTTTAGGTGCAGCTATACATTATTTGAATTCTAAGATTGTTGATTTGGCTCAACATTTTAGTGATTTTGGAACAAGTTTTGTTTCTAAAATTGTTCATTTCTTTAAGACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGGTTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTGGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCAGAGTGTTGCTAAAGTTGTACTGGACTCTTTAAGGGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATTTGTCTTTCAGGCAGAAAAATTTATGAAGTTGCGCGTGGCTTGTTACATTCATCCCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAAGCCAAGCAAAAACCTATTTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCGGATAGTGTAGTTGAAGTTGTTACAACTTCACTTACACCATGTGGCTATTCTGAACCACCTAAAGTTGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCTGGTGATAAATATTACCCTGTTGTGGTTGATGATCATGTTGGACTCTTGGATCAAGCATGGAGAGTTCCTTGTGCT >MDS16_L2_VIPR_ALG4_QBQ01836_1_928_2742_1_NA_NA_Unknown_Betacoronavirus_1 GTTAAACCACTTCTCTATGTAGACCAGTATGGTTGTGATTATACTGGTAGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTACTTGGAGTCAGGAACTCCCTTTTGATGTAATTGTGGCATGGCATGTTGTGCGTGATCCACGTTATGTTATGAGATTGCAGAGTGCTGCTACTATATGTAGTGTTGCATATGTTGCTAATCCTACTGAAGACTTGTGTGATGGTTCTGTTGTTATAAAAGAACCTGTGCATGTTTATGCAGATGACTCTATTATTTTACGTCAATATAATTTATTTGACATTATGAGTCATTTTTATATGGAGGCAGATACAGTTGTAAATGCTTTTTATGGTGTTGCTTTGAAAGATTGTGGTTTTGTTATGCAGTTTGGTTACATTGATTGCGAACAAGACTCGTGTGATTTTAAAGGTTGGATTCCTGGTAACATGATAGATGGTTTTGCTTGCACCACTTGTGGTCATGTTTATGAAGTAGGTGATTTGATAGCACAATCTTCAGGTGTTTTGCCTGTTAACCCTGTATTGCATACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAAGATTCTTTTACTCTGTATGGCCAAACTGTAGTTTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCCTCTGTTAAGTCATATGACAGTTTGGTTTATACTGGAGTTTTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCTCTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTACACCAACGGGAGTTGCTAGGTGTTTCAGATGTGTGGCATAAACAATTGCTAATAAATAGAGGTGTTTATAAACCTCTGTTAGAGAATATTGATTATTTTAATATGCGACGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGCTTTATGCCTTTTCTTTTAGATGATTTAGTTCCACGTGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGATTATGCAGATAAACTTTGCCATGCTGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGTCTCTGGATTCTTTAGGTGCAGCTATACATTATTTGAATTCTAAGATTGTTGATTTGGCTCAACATTTTAGTGATTTTGGAACAAGTTTTGTTTCTAAAATTATTCATTTCTTTAAGACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGGTTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTGGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCAGAGTGTTGCTAAAGTTGTACTGGACTCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATTTGTCTTTCAGGCAGAAAAATTTATGAAGTTGCGCGTGGCTTGTTACATTCATCCCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAAGCCAAGCAAAAACCTATTTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCGGATAGTGTAGTTGAAGTTGTTACAACTTCACTTACACCATGTGGCTATTCTGAACCACCTAAAGTTGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCTGGTGATAAATATTACCCTGTTGTGGTTGATGATCATGTTGGACTCTTGGATCAAGCATGGAGAGTTCCTTGTGCT >E_AH187_TC_L2_VIPR_ALG4_251748090_933_2747_1_2000_01_01_USA_Cattle_Betacoronavirus_1 GTTAAACCGCTTCTTTATGTAGACCAGTATGGTTGTGATTATACTGGTGGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTATTTGGAGCCAGGAACTCCCTTTTGATGTAACTGTGGCATGGCACGTTGTGCGTGATCCACGTTATGTTATGAGACTGCAGAGTGCTTCTACTATACGTAGTGTTGCATATGTTGCTAACCCTACTGAAGACTTGTGTGATGGTTCTGTTGTCATAAAGGAACCTGTGCATGTTTATGCGGATGACTCTATTATTTTACGTCAACATAATTTAGTTGACATTATGAGTTGTTTTTATATGGAGGCAGATGCAGTTGTAAATGCTTTTTATGGTGTTGATTTGAAACATTGTGGTTTTGTTATGCAGTTTGGTTATATTGACTGCGAACAAGACTTGTGTGATTTTAAAGGTTGGGTTCCTGGTAATATGATAGATGGTTTTGCTTGCACTACTTGTGGTCATGTCTATGAGACAGGTAATTTGCTAGCACAATCTTCAGGTGTTCTGCCTGTTAATCCTGTATTGCATACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAGGATTCTTTTACCCTGTATGGCCAAACTGTAGTTTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCTTCTGTTAAGTCTTATGACGGTTTGGTTTATACTGGAGTTGTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCGTTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTACACCAGCGGGAGTTGCTAGGTGTGTCAGATGTGTGGCATAAACAATTGTTATTAAATAGAGGTGTGTACAAACCTCTTTTAGAGAATATTGATTATTTTAATATGCGGCGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGTTTTATGCCTTTTCTTTTAGATGATTTGGTTCCGCGCGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGACTACGCAGATAAAATCTGCCATGCTGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGTCTTTGGATTCTTTAAGTGCAGCTATACATTATTTGAATTCTAAAATTGTTGATTTGGCTCAACATTTTAGTGATTTTGGAACAAGTTTTGTTTCTAAAATTGTTCATTTCTTTAAGACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGGTTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTAGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCGGAGTGTTGCTAAAGTTGTACTGGACTCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATTTGTCTCTCAGGCAGTAAAATTTATGAAGTTGAGCGTGGCTTGTTACATTCATCTCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAAGCCAAGCAAAAACCTATTTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCAGATAGTGTGGTTGAAGTTGTTACAACTTCACTTACACCATGTGGTTATTCTGAACCACCTAAAGTTGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCTGGTGACAAATATTACCCTGTTGTGGTTGATGGTCATGTAGGACTCTTGGATCAAGCATGGAGGGTTCCTTGTGCT >BCOV_China_SWUN_A10_2018_L2_VIPR_ALG4_QOV05174_1_949_2763_1_2018_11_01_China_Cattle_Betacoronavirus_1 GTTAAACCGCTTCTTTATGTAGACCAGTATGGTTGTGATTATACTGGTGGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTATTTGGAGCCAGGAACTCCCTTTTGATGTAATTGTGGCATGGCACGTTGTGCGTGATCCACGTTATGTTATGAGATTGCAGAGTGCTTCTACTATACGTAGTGTTGCATATGTTGCTAACCCTACTGAAGACTTGTGTGATGGTTCTGTTGTTATAAAGGAACCTGTGCATGTTTATGCGGATGACTCTATTATTTTACGTCAACATAATTTAGTTGACATTATGAGTTGTTTTTATACGGAGGCAGATGCAGTTGTAAATGCTTTTTATGGTGTTGATTTGAAAGATTGTGGTTTTGTTATGCAGTTTGGTTATATCGACTGCGAACAAGACTTGTGTGATTTTAAAGGTTGGGTTCCTGGTAATATGATAGATGGTTTTGCTTGCACTACTTGTGGTCATGTTTATGAGACAGGTGATTTGCTAGCACAATCTTCAGGTGTTTTGCCTGTTAATCCTGTATTGCATACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAGGATTCTTTTACCCTGTATGGCCAAACTGTAGTCTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCTTCTGTTAAGTCTTATGATGGTTTGGTTTATACTGGAGTTGTAGGTTGCAAGGCTGTTGTAAAGGAAACAAATCTCATTTGCAAAGCGTTGTACCTTGATTATGTTCAACACAAGTGTGGCAACTTACACCAGCGGGATTTGCTAGGTGTGTCAGATGTGTGGCATAAACAATTGTTATTAAATAGAGGTGTGTATAAACCTCTTTTAGAGAATATTGATTATTTTAATATGCGGCGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGTTTTATGCCTTTTCTTTTAGATGATTTGGTTCCGCGCGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGACTACGCAGGTAAAATTTGCCATGCTGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGTCTCTGGATTCTTTAAGTGCAGCTATACATTATTTGAATTCTAAAATTGTTGATTTGGCTCAACATTTTAGTGATTTTGGAACAAGTTTTGTTTGTAAAATTGTTCACTTCTTTAAGACTTTTACTACTAGCAAAGGTCTTGCATTTGCATGGGTTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTAGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCGGAGTGTTGCTAAAGTTGTACTGGACTCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATTTGTCTTTCAGGCAGTAAAATTTATGAAGTTGAGCGTGGTTTGTTACATTCATCTCAATTGCCATTAGATGTTTATGAGTTAACCATGCCTAGTCAAGTTCAGAAAACCAAGCAAAAACCTATTTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCGGATAGTGTAGTTGAAGTTGTTACAACTTCACTTACACCATGTGGTTATTCTGAACCACCTAAAGTTGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCCGGTGACAAATATTACCCTGTTGTGGTTGATGGTCATGTAGGACTCTTGGATCAAGCATGGAGGGTTCCTCGTGCT >5479_2007_L2_VIPR_ALG4_701216792_948_2762_1_2007_06_China_Human_Betacoronavirus_1 GTTAAACCACTTCTCTATGTAGACCAGTATGGTTGTGATTATACTGGTAGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTACTTGGAGTCAGGAACTCCCTTTTGATGTAATTGTGGCATGGCATGTTGTGCGTGATCCACGTTATGTTATGAGATTGCAGAGTGCTGCTACTATATGTAGTGTTGCATATGTTGCTAATCCTACTGAAGACTTGTGTGATGGTTCTGTTGTTATAAAAGAACCTGTGCATGTTTATGCAGATGACTCTATTATTTTACGTCAATATAATTTATTTGACATTATGAGTCATTTTTATATGGAGGCAGATACAGTTGTAAATGCTTTTTATGGTGTTGCTTTGAAAGATTGTGGTTTTGTTATGCAGTTTGGTTACATTGATTGCGAACAAGACTCGTGTGATTTTAAAGGTTGGATTCCTGGTAACATGATAGATGGTTTTGCTTGCACCACTTGTGGTCATGTTTATGAAGTAGGTGATTTGATAGCACAATCTTCAGGTGTTTTGCCTGTTAACCCTGTATTGCATACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAAGATTCTTTTACTCTGTATGGCCAAACTGTAGTTTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCCTCTGTTAAGTCATATGACAGTTTGGTTTATACTGGAGTTTTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCTCTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTACACCAACGGGAGTTGCTAGGTGTTTCAGATGTGTGGCATAAACAATTGCTAATAAATAGAGGTGTTTATAAACCTCTGTTAGAGAATATTGATTATTTTAATATGCGACGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGCTTTATGCCTTTTCTTTTAGATGATTTAGTTCCACGCGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGATTATGCAGATAAACTTTGCCATGCTGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGTCTCTGGATTCTTTAGGTGCAGCTATACATTATTTGAATTCTAAGATTGTTGATTTGGCTCAACATTTTAGTGATTTTGGAACAAGTTTTGTTTCTAAAATTGTTCATTTCTTTAAGACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGGTTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTGGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCAGAGTGTTGCTAAAGTTGTACTGGACTCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATTTGTCTTTCAGGCAGAAAAATTTATGAAGTTGCGCGTGGCTTGTTACATTCATCCCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAAGCCAAGCAAAAACCTATTTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCGGATAGTGTAGTTGAAGTTGTTACAACTTCACTTACACCATGTGGCTATTCTGAACCACCTAAAGTTGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCTGGTGATAAATATTACCCTGTTGTGGTTGATGATCATGTTGGACTCTTGGATCAAGCATGGAGAGTTCCTTGTGCT >HCoV_OC43_Seattle_USA_SC2770_2015_L2_VIPR_ALG4_ARK08647_1_910_2724_1_2015_USA_Human_Betacoronavirus_1 GTTAAACCACTTCTCTATGTAGACCAGTATGGTTGTGATTATACTGGTAGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTACTTGGAGTCAGGAACTCCCTTTTGATGTAATTGTGGCATGGCATGTTGTGCGTGATCCACGTTATGTTATGAGATTGCAGAGTGCTGCTACTATATGTAGTGTTGCATATGTTGCTAATCCTACTGAAGACTTGTGTGATGGTTCTGTTGTTATAAAAGAACCTGTGCATGTTTATGCAGATGACTCTATTATTTTACGTCAATATAATTTATTTGACATTATGAGTCATTTTTATATGGAGGCAGATACAGTTGTAAATGCTTTTTATGGTGTTGCTTTGAAAGATTGTGGTTTTGTTATGCAGTTTGGTTACATTGATTGCGAACAAGACTCGTGTGATTTTAAAGGTTGGATTCCTGGTAACATGATAGATGGTTTTGCTTGCACCACTTGTGGTCATGTTTATGAAGTAGGTGATTTGATAGCACAATCTTCAGGTGTTTTGCCTGTTAACCCTGTATTGCATACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAAGATTCTTTTACTCTGTATGGCCAAACTGTAGTTTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCCTCTGTTAAGTCATATGACAGTTTGGTTTATACTGGAGTTTTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCTCTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTACACCAACGGGAGTTGCTAGGTGTTTCAGATGTGTGGCATAAACAATTGCTAATAAATAGAGGTGTTTATAAACCTCTGTTAGAGAATATTGATTATTTTAATATGCGACGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGCTTTATGCCTTTTCTTTTAGATGATTTAGTTCCACGCGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGATTATGCAGATAAACTTTGCCATGCTGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGTCTCTGGATTCTTTAGGTGCAGCTATACATTATTTGAATTCTAAGATTGTTGATTTGGCTCAACATTTTAGTGATTTTGGAACAAGTTTTGTTTCTAAAATTGTTCATTTCTTTAAGACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGGTTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTGGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCAGAGTGTTGCTAAAGTTGTACTGGACTCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATTTGTCTTTCAGGCAGAAAAATTTATGAAGTTGCGCGTGGCTTGTTACATTCATCCCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAAGCCAAGCAAAAACCTATTTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCGGATAGTGTAGTTGAAGTTGTTACAACTTCACTTACACCATGTGGCTATTCTGAACCACCTAAAGTTGCAGATAAAATTTGCATTGTAGATAATGTTTATATGGCCAAGGCTGGTGATAAATATTACCCTGTTGTGGTTGATGATCATGTTGGACTCTTGGATCAAGCATGGAGAGTTCCTTGTGCT >HCoV_OC43_Seattle_USA_SC0810_2019_L2_VIPR_ALG4_QEG03753_1_945_2759_1_2019_USA_Human_Betacoronavirus_1 GTTAAACCACTTCTCTATGTAGACCAGTATGGTTGTGATTATACTGGTAGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTACTTGGAGTCAGGAACTCCCTTTTGATGTAATTGTGGCATGGCATGTTGTGCGTGATCCACGTTATGTTATGAGATTGCAGAGTGCTGCTACTATATGTAGTGTTGCATATGTTGCTAATCCTACTGAAGACTTGTGTGATGGTTCTGTTGTTATAAAAGAACCTGTGCATGTTTATGCAGATGACTCTATTATTTTACGTCAATATAATTTATTTGACATTATGAGTCATTTTTATATGGAGGCAGATACAGTTGTAAATGCTTTTTATGGTGTTGCTTTGAAAGATTGTGGTTTTGTTATGCAGTTTGGTTACATTGATTGCGAACAAGACTTGTGTGATTTTAAAGGTTGGATTCCTGGTAACATGATAGATGGTTTTGCTTGCACCACTTGTGGTCATGTTTATGAAGTAGGTGATTTGATAGCACAATCTTCAGGTGTTTTGCCTGTTAACCCTGTATTGCATACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAAGATTCTTTTACTCTGTATGGCCAAACTGTAGTTTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCCTCTGTTAAGTCATATGACAGTTTGGTTTATACTGGAGTTTTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCTCTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTACACCAACGGGAGTTGCTAGGTGTTTCAGATGTGTGGCATAAACAATTGCTAATAAATAGAGGTGTTTATAAACCTCTGTTAGAGAATATTGATTATTTTAATATGCGACGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGCTTTATGCCTTTTCTTTTAGATGATTTAGTTCCACGCGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGATTATGCAGATAAACTTTGCCATGCTGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGTCTCTGGATTCTTTAGGTGCAGCTATACATTATTTGAATTCTAAGATTGTTGATTTGGCTCAACATTTTAGTGATTTTGGAACAAGTTTTGTTTCTAAAATTGTTCATTTCTTTAAGACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGGTTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTGGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCAGAGTGTTGCTAAAGTTGTACTGGACTCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATTTGTCTTTCAGGCAGAAAAATTTATGAAGTTGCGCGTGGCTTGTTACATTCATCCCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAAGCCAAGCAAAAACCTATCTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCGGATAGTGTAGTTGAAGTTGTTACAACTTCACTTACACCATGTGGCTATTCTGAACCACCTAAAGTTGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCTGGTGATAAATATTACCCTGTCGTGGTTGATGATCATGTTGGACTTTTGGATCAAGCATGGAGAGTTCCTTGTGCT >E_AH65_L2_VIPR_ALG4_145208890_949_2763_1_NA_USA_Cattle_Betacoronavirus_1 GTTAAACCGCTTCTTTATGTAGACCAGTATGGTTGTGATTATACTGGTGGTCTTGCAGATGGCTTAGAGGCTTATGCTGATAAGACATTGCAAGAAATGAAGGCATTATTTCCTATTTGGAGCCAGGAACTCCCTTTTGATGTAACTGTGGCATGGCACGTTGTGCGTGATCCACGTTATGTTATGAGACTGCAGAGTGCTTCTACTATACGTAGTGTTGCATATGTTGCTAACCCTACTGAAGACTTGTGTGATGGTTCTGTTGTCATAAAGGAACCTGTGCATGTTTATGCGGATGACTCTATTATTTTACGTCAACATAATTTAGTTGACATTATGAGTTGTTTTTATATGGAGGCAGATGCAGTTGTAAATGCTTTTTATGGTGTTGATTTGAAAGATTGTGGTTTTGTTATGCAGTTTGGTTATATTGACTGCGAACAAGACTTGTGTGATTTTAAAGGTTGGGTTCCTGGTAATATGATAGATGGTTTTGCTTGCACTACTTGTGGTCATGTCTATGAGACAGGTGATTTGCTAGCACAATCTTCAGGTGTTCTGCCTGTTAATCCTGTATTGCATACTAAGAGTGCAGCAGGTTATGGTGGTTTTGGTTGTAAGGATTCTTTTACCCTGTATGGCCAAACTGTAGTCTATTTTGGAGGTTGTGTGTATTGGAGTCCAGCACGTAATATATGGATTCCTATATTAAAATCTTCTGTTAAGTCTTATGACGGTTTGGTTTATACTGGAGTTGTAGGTTGCAAGGCTATTGTAAAGGAAACAAATCTCATTTGCAAAGCGTTGTACCTTGATTATGTTCAACACAAGTGTGGCAATTTACACCAGCGGGAGTTGCTAGGTGTGTCAGATGTGTGGCATAAACAATTGTTATTAAATAGAGGTGTGTACAAACCTCTTTTAGAGAATATTGATTATTTTAATATGCGGCGCGCTAAATTTAGTTTAGAAACTTTTACTGTTTGTGCAGATGGTTTTATGCCTTTTCTTTTAGATGATTTGGTTCCGCGCGCATATTATTTGGCAGTAAGTGGTCAAGCATTTTGTGACTACGCAGATAAAATCTGCCATGCTGTTGTGTCTAAGAGTAAAGAGTTACTTGATGTGTCTCTGGATTCTTTAAGTGCAGCTATACATTATTTGAATTCTAAAATTGTTGATTTGGCTCAACATTTTAGTGATTTTGGAACAAGTTTTGTTTCTAAAATTGTTCATTTCTTTAAGACTTTTACTACTAGCACTGCTCTTGCATTTGCATGGATTTTATTTCATGTTTTGCATGGTGCTTATATAGTAGTAGAGAGTGATATATATTTTGTTAAAAACATTCCTCGTTATGCTAGTGCTGTTGCACAAGCATTTCGGAGTGTTGCTAAAGTTGTACTGGACTCTTTAAGAGTTACTTTTATTGATGGCCTTTCTTGTTTTAAGATTGGACGTAGAAGAATTTGTCTCTCAGGCAGTAAAATTTATGAAGTTGAGCGTGGCTTGTTACATTCATCTCAATTGCCATTAGATGTTTATGATTTAACCATGCCTAGTCAAGTTCAGAAAGCCAAGCAAAAACCTATTTATTTAAAAGGTTCTGGTTCTGATTTTTCATTAGCAGATAGTGTGGTTGAAGTTGTTACAACTTCACTTACACCATGTGGTTATTCTGAACCACCTAAAGTTGCAGATAAAATTTGCATTGTGGATAATGTTTATATGGCCAAGGCTGGTGACAAATATTACCCTGTTGTGGTTGATGGTCATGTAGGACTCTTGGATCAAGCATGGAGGGTTCCTTGTGCT
>OC43_human_USA_911_66_1991_L2_VIPR_ALG4_530802478_943_2757_1_1991_01_29_USA_Human_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELLFDVIVAWHVVRDPRYVMRLQSAATIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLVDIMSHFYMEADTVVNAFYGVALKDCGFVMQFGYIDCEQDSCDFKGWIPGNMIDGFACTTCGHVYEVGDLIAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLNRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYADKLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTSTALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGLSCFKIGRRRICLSGRKIYEVERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDFSLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAWRVPCA >Quebec_L2_VIPR_ALG4_17529671_949_2763_1_NA_NA_Unknown_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELPFDVTVAWHVVRDPRYVMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYMEADAVVNAFYGVDLKDCGFVMQFGYIDCEQDLCDFKGWVPGNMIDGFACTTCGHVYETGDLLAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDGLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLNRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAGKICHAVVSKSKELLDVSVDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTSTALAFAWVLFHVLHGAYIVVESDIYFGKNIPRYASAVAQAFRSGAKVGLDSLRVTFIDGLSCFKIGRRRICLSGSKIYEVERGLLHSSQLPLDVYDLTMPSQVQKTKQKGIYLKGSGSDFSLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDGHVGLLDQAWRVPCA >PHEV_CoV_swine_USA_15TOSU1727_2015_L2_VIPR_ALG4_ARC95257_1_910_2724_1_2015_08_08_USA_Swine_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELPFDVTVAWHVVRDPRYVMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYMEADAVVNAFYGVDLKDCGFVMQFGYIDCEQDLCDFKGWVPGNMIDGFACTTCGHVYEAGDLLAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNVWIPILKSSVKSYDSLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLDQRELLGVSDVWHKQLLLNRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLIPRAYYLAVSGYAFCDYADKICHAVVSKSKDLLDVSLDSLGAAIHYLNSRIVDLAQHFSDFGASFVSTIVRYFKTFTTSTALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVAKVVLDSLRVTFIDGLSCFKIGRRRICLSGRKIYEVERGLLHSSQLPLDVYDLTMPSQVQKSKQKPIYLKGSGSDFSLADSVVEVVTTSLTPCGYSEPPKFADKICIVDNVYMAKAGDKYYPVVVDDHAGLLDQAWRVPCA >YC_68_L2_VIPR_ALG4_AXX83360_1_862_2676_1_2015_06_05_China_Unknown_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELPFDVIVAWHVVRDPRYVMRLQSAATICSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLFDIMSHFYMEADTVVNAFYGVALKDCGFVMQFGYIDCEQDSCDFKGWIPGNMIDGFACTTCGHVYEVGDLIAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDSLVYTGVLGCKVIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLINRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYADKLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIIHFFKTFTTSTALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGLSCFKIGRRRICLSGRKIYEVARGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDFSLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAWRVPCA >SHG_3_L2_VIPR_ALG4_BBM61214_1_925_2739_1_2014_12_Japan_Unknown_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELPFDVTVAWHVVRDPRYVMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYMEADAVVKAFYGVDLKHCGFVMQFGYIDCEQDSCDFKGWVPGNMIDGFACTTCGHVYETGDLLAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDGLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLNRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYADKICHAVVSKSKELLDVSLDSLSAAIHYLNSKIVDLAQHFSGFGTSFVSKIVHFFKTFTTSTALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVAKVVLDSLRVTFIDGLSCFKIGRRRICLSGSKIYEVERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDFSLADSVVEVVTTSLTPCGYFEPPKVADKICIVDNVYMAKAGDKYYPVVVDGHVGLLDQAWRVPCA >MY_U710_12_L2_VIPR_ALG4_AQN78701_1_948_2762_1_2012_06_20_Malaysia_Human_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELPFDVIVAWHVVRDPRYVMRLQSAATICSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLFDIMSHFYMEADTVVNAFYGVALKDCGFVMQFGYIDCEQDSCDFKGWIPGNMIDGFACTTCGHVYEVGDLIAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLINRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYADKLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTSTALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGLSCFKIGRRRICLSGRKIYEVARGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDFSLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAWRVPCA >TCG_12_L2_VIPR_ALG4_BBM61324_1_924_2738_1_2008_12_Japan_Unknown_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELPFDVTVAWHVVRDPRYVMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYMEADAVVNAFYGVDLKNCGFVMQFGYIDCEQDSCDFKGWVPGNMIDGFACTTCGHVYETGDLLAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDGLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLNRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYADKICHAVVSKSKELLDVSLDSLSAAIYYLNSKIVDLAQHFSGFGTSFVSKIVHFFKTFTTSTALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVAKVVLDSLRVTFIDGLSCFKIGRRRICLSGSKIYEVERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDFSLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDGHVGLLDQAWRVPCA >5595_2007_L2_VIPR_ALG4_701216848_948_2762_1_2007_07_China_Human_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELPFDVIVAWHVVRDPRYVMRLQSAATICSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLFDIMSHFYMEADTVVNAFYGVALKDCGFVMQFGYIDCEQDSCDFKGWIPGNMIDGFACTTCGHVYEVGDLIAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLINRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYADKLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTSTALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGLSCFKIGRRRICLSGRKIYEVARGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDFSLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAWRVPCA >HCoV_OC43_Seattle_USA_SC0682_2019_L2_VIPR_ALG4_QEG03736_1_910_2724_1_2019_USA_Human_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELPFDVIVAWHVVRDPRYVMRLQSAATICSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLFDIMSHFYMEADTVVNAFYGVALKDCGFVMQFGYIDCEQDLCDFKGWIPGNMIDGFACTTCGHVYEVGDLIAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLINRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYADKLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTSTALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGLSCFKIGRRRICLSGRKIYEVARGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDFSLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAWRVPCA >TCG_9_L2_VIPR_ALG4_BBM61424_1_913_2727_1_2008_03_Japan_Unknown_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELPFDVIVAWHVVRDPRYVMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYMEADAVVNAFYGVDLKNCGFVMQFGYIDCEQDSCDFKGWVPGNMIDGFACTTCGHVYETGDLLAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDGLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLNRGVYKPLLENIDYFNMQRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYADKICHAVVSKSKELLDVSLDSLSAAIHYLNSKIVDLAQHFSGFGTSFVSKIVHFFKTFTTSTALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVAKVVLDSLRVTFIDGLSCFKIGRRRICLSGSKIYEVERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDFSLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDGHVGLLDQAWRVPCA >UNKNOWN_FJ425185_L2_VIPR_ALG4_215478110_906_2720_1_1994_01_01_USA_Antelope_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELPFDVTVAWHVVRDPRYVMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYMEADAVVNAFYGVDLKDCGFVMQFGYIDCEQDLCDFKGWVPGNMIDGFACTTCGHVYETGDLLAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDGLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLNRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYADKICHAVVSKSKELLDVSLDSLSAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTSTALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVAKVVLDSLRVTFIDGLSCFKIGRRRICLSGSKIYEVERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDFSLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDGHVGLLDQAWRVPCA >PHEV_CoV_swine_USA_15TOSU0331_2015_L2_VIPR_ALG4_ARC95209_1_910_2724_1_2015_08_15_USA_Swine_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELPFDVTVAWHVVRDPRYVMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYMEADAVVNAFYGVDLKDCGFVMQFGYIDCEQDLCDFKGWVPGNMIDGFACTTCGHVYETGDLLAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDSLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLDQRELLGVSDVWHKQLLLNRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGYAFCDYADKLCHAVVSKSKDLLDVSLDSLGAAIHYLNSRIVDLAQHFSDFGASFVSTIVRYFKTFTTSTALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVVKVVLESLRVTFIDGLSCFKIGRRRICLSGRKIYEVERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDFSLADSVVEVVTTSLTPCGYSEPPKFADKICIVDNVYMAKAGDKYYPVVVDDHAGLLDQAWRVPCA >87309_Belgium_2003_L2_VIPR_ALG4_62530889_949_2763_1_NA_Belgium_Unknown_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELPFDVIVAWHVVRDPRYVMRLQSAATICSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLFDIMSHFYMEADTVVNAFYGVALKDCGFVMQFGYIDCEQDSCDFKGWIPGNMIDGFACTTCGHVYEVGDLIAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLINRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYADKLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTSTALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGLSCFKIGRRRICLSGRKIYEVERGLLHSSQLPLDVYNLTMPSQVQKAKQKPIYLKGSGSDFSLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAWRVPCA >5240_2007_L2_VIPR_ALG4_701216652_948_2762_1_2007_05_China_Human_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELPFDVIVAWHVVRDPRYVMRLQSAATICSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLFDIMSHFYMEADTVVNAFYGVALKDCGFVMQFGYIDCEQDSCDFKGWIPGNMIDGFACTTCGHVYEVGDLIAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLINRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYADKLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTSTALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGLSCFKIGRRRICLSGRKIYEVARGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDFSLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAWRVPCA >IWT_4_L2_VIPR_ALG4_BBM60974_1_925_2739_1_2011_06_Japan_Unknown_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELPFDVIVAWHVVRDPRYVMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYMEADAVVNAFYGVDLKNCGFVMQFGYIDCEQDLCDFKGWVPGNMIDGFACTTCGHVYETGDLLAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDGLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLNRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPCAYYLAVSGQAFCDYADKICHAVVSKSKELLDVSLDSLSAAIHYLNSKIVDLAQHFSGFGTSFVSKIVHFFKTFTTSTALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVAKVVLDSLRVTFIDGLSCFKIGRRRICLSGSKIYEVERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDFSLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDGHVGLLDQAWRVPCA >OC43_human_USA_873_6_1987_L2_VIPR_ALG4_530802456_929_2743_1_1987_03_05_USA_Human_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELLFDVIVAWHVVRDPRYVMRLQSAATIRSVAYVANPTEDLCNGSVVIKEPVHVYADDSIILRQYNLVDIMSHFYMEADTVVNAFYGVALKDCGFVMQFGYIDCEQDSCDFKGWIPGNMIDGFACTTCGHVYEVGDLIAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLNRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYTDKLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTSTALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGLSCFKIGRRRICLSGRKIYEIERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDFSLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAWRVPCA >IWT_19_L2_VIPR_ALG4_BBM61084_1_925_2739_1_2016_12_Japan_Unknown_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELPFDVTVAWHVVRDPRYVMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYMEADAVVNAFYGVDLKNCGFVMQFGYIDCEQDLCGFKGWVPGNMIDGFACTTCGHVYETGDLLAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDGLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLNRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDHADKICHAVVSKSKELLDVSLDSLSAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTSTALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVVKVVLDSLRVTFIDGLSCFKIGRRRICISGSKIYEVERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDFSLADSVVEVVTTSLAPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDGHVGLLDQAWRVPCA >OC43_human_USA_9712_13_1997_L2_VIPR_ALG4_530802292_929_2743_1_1997_12_11_USA_Human_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELLFDVIVAWHVVRDPRYVMRLQSAATIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLVDIMSHFYMEADTVVNAFYGVALKDCGFVMQFGYIDCEQDSCDFKGWIPGNMIDGFACTTCGHVYEVGDLIAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLNRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYADKLCHAVVSKSKELLDVALDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTSTALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGLSCFKIGRRRICLSGRKIYEVERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDFSLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAWRVPCA >LY341_L2_VIPR_ALG4_721347196_949_2763_1_2011_10_03_China_Human_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLGAYADKTLQEMKALFPTWSQELPFDVIVAWHVVRDPRYVMRLQSAATICSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLFDIMSHFYMEADTVVNAFYGVALKDCGFVMQFGYIDCEQDSCDFKGWIPGNMIDGFACTTCGHVYEVGDLIAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFILYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLINRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYADKLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTSTALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGLSCFKIGRRRICLSGRKIYEVARGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDFSLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAWRVPCA >Kakegawa_L2_VIPR_ALG4_155369168_949_2763_1_NA_Japan_Unknown_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADRTLQEMKALFPIWSQELPFDVTVAWHVVRDPRYVMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYMEADAVVNAFYGVDLKDCGFVMQFGYIDCEHDLCDFKGWVPGNMIDGFACTTCGHVYETGDLLAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDGLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLNRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAGKICHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTSTALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVAKVVLDSLRVTFIDGLSCFKIGRRRICLSGSKIYEVERGLLHSSQLPLDVYDLTMPSQVQKTKQKPIYLKGSGSDFSLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDGHVGLLDQAWRVPCA >US_OH3_TC_2006_L2_VIPR_ALG4_145208979_933_2747_1_NA_USA_Giraffe_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELPFDVTVAWHVVRDPRYVMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYMEADAVVNAFYGVDLKDCGFVMQFGYIDCEQDLCDFKGWVPGNMIDGFACTTCGHVYETGDLLAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDGLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLNRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYADKICHAVVSKSKELLDVSLDSLSAAIYYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTSTALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVAKVVLDSLRVTFIDGLSCFKIGRRRICLSGSKIYEVERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGTDFSLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDGHVGLLDQAWRVPCA >TCG_27_L2_VIPR_ALG4_BBM61514_1_925_2739_1_2017_12_Japan_Unknown_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELHFDVIVAWHVVRDPRYVMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYMEADAVVNAFYGVDLKNCGFVMQFGYIDCEQDSCDFKGWVPGNMIDGFACTTCGHVYETGDLLAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDGLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLNRGVYKPLLENIDYFNMQRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYADKICHAVVSKSKELLDVSLDSLSAAIHYLNSKIVDLAQHFSGFGTSFVSKIVHFFKTFTTGTALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVAKVVLDSLRVTFIDGLSCFKIGRRRICLSGSKIYEVERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDFSLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDGHVGLLDQAWRVPCA >5345_2007_L2_VIPR_ALG4_701216659_948_2762_1_2007_05_China_Human_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELPFDVIVAWHVVRDPRYVMRLQSAATICSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLFDIMSHFYMEADTVVNAFYGVALKDCGFVMQFGYIDCEQDSCDFKGWIPGNMIDGFACTTCGHVYEVGDLIAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLINRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYADKLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTSTALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGLSCFKIGRRRICLSGRKIYEVARGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDFSLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAWRVPCA >MDS16_L2_VIPR_ALG4_QBQ01836_1_928_2742_1_NA_NA_Unknown_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELPFDVIVAWHVVRDPRYVMRLQSAATICSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLFDIMSHFYMEADTVVNAFYGVALKDCGFVMQFGYIDCEQDSCDFKGWIPGNMIDGFACTTCGHVYEVGDLIAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLINRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYADKLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIIHFFKTFTTSTALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGLSCFKIGRRRICLSGRKIYEVARGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDFSLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAWRVPCA >E_AH187_TC_L2_VIPR_ALG4_251748090_933_2747_1_2000_01_01_USA_Cattle_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELPFDVTVAWHVVRDPRYVMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYMEADAVVNAFYGVDLKHCGFVMQFGYIDCEQDLCDFKGWVPGNMIDGFACTTCGHVYETGNLLAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDGLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLNRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYADKICHAVVSKSKELLDVSLDSLSAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTSTALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVAKVVLDSLRVTFIDGLSCFKIGRRRICLSGSKIYEVERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDFSLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDGHVGLLDQAWRVPCA >BCOV_China_SWUN_A10_2018_L2_VIPR_ALG4_QOV05174_1_949_2763_1_2018_11_01_China_Cattle_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELPFDVIVAWHVVRDPRYVMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYTEADAVVNAFYGVDLKDCGFVMQFGYIDCEQDLCDFKGWVPGNMIDGFACTTCGHVYETGDLLAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDGLVYTGVVGCKAVVKETNLICKALYLDYVQHKCGNLHQRDLLGVSDVWHKQLLLNRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYAGKICHAVVSKSKELLDVSLDSLSAAIHYLNSKIVDLAQHFSDFGTSFVCKIVHFFKTFTTSKGLAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVAKVVLDSLRVTFIDGLSCFKIGRRRICLSGSKIYEVERGLLHSSQLPLDVYELTMPSQVQKTKQKPIYLKGSGSDFSLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDGHVGLLDQAWRVPRA >5479_2007_L2_VIPR_ALG4_701216792_948_2762_1_2007_06_China_Human_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELPFDVIVAWHVVRDPRYVMRLQSAATICSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLFDIMSHFYMEADTVVNAFYGVALKDCGFVMQFGYIDCEQDSCDFKGWIPGNMIDGFACTTCGHVYEVGDLIAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLINRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYADKLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTSTALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGLSCFKIGRRRICLSGRKIYEVARGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDFSLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAWRVPCA >HCoV_OC43_Seattle_USA_SC2770_2015_L2_VIPR_ALG4_ARK08647_1_910_2724_1_2015_USA_Human_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELPFDVIVAWHVVRDPRYVMRLQSAATICSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLFDIMSHFYMEADTVVNAFYGVALKDCGFVMQFGYIDCEQDSCDFKGWIPGNMIDGFACTTCGHVYEVGDLIAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLINRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYADKLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTSTALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGLSCFKIGRRRICLSGRKIYEVARGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDFSLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAWRVPCA >HCoV_OC43_Seattle_USA_SC0810_2019_L2_VIPR_ALG4_QEG03753_1_945_2759_1_2019_USA_Human_Betacoronavirus_1 VKPLLYVDQYGCDYTGSLADGLEAYADKTLQEMKALFPTWSQELPFDVIVAWHVVRDPRYVMRLQSAATICSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQYNLFDIMSHFYMEADTVVNAFYGVALKDCGFVMQFGYIDCEQDLCDFKGWIPGNMIDGFACTTCGHVYEVGDLIAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDSLVYTGVLGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLINRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYADKLCHAVVSKSKELLDVSLDSLGAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTSTALAFAWVLFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFQSVAKVVLDSLRVTFIDGLSCFKIGRRRICLSGRKIYEVARGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDFSLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDDHVGLLDQAWRVPCA >E_AH65_L2_VIPR_ALG4_145208890_949_2763_1_NA_USA_Cattle_Betacoronavirus_1 VKPLLYVDQYGCDYTGGLADGLEAYADKTLQEMKALFPIWSQELPFDVTVAWHVVRDPRYVMRLQSASTIRSVAYVANPTEDLCDGSVVIKEPVHVYADDSIILRQHNLVDIMSCFYMEADAVVNAFYGVDLKDCGFVMQFGYIDCEQDLCDFKGWVPGNMIDGFACTTCGHVYETGDLLAQSSGVLPVNPVLHTKSAAGYGGFGCKDSFTLYGQTVVYFGGCVYWSPARNIWIPILKSSVKSYDGLVYTGVVGCKAIVKETNLICKALYLDYVQHKCGNLHQRELLGVSDVWHKQLLLNRGVYKPLLENIDYFNMRRAKFSLETFTVCADGFMPFLLDDLVPRAYYLAVSGQAFCDYADKICHAVVSKSKELLDVSLDSLSAAIHYLNSKIVDLAQHFSDFGTSFVSKIVHFFKTFTTSTALAFAWILFHVLHGAYIVVESDIYFVKNIPRYASAVAQAFRSVAKVVLDSLRVTFIDGLSCFKIGRRRICLSGSKIYEVERGLLHSSQLPLDVYDLTMPSQVQKAKQKPIYLKGSGSDFSLADSVVEVVTTSLTPCGYSEPPKVADKICIVDNVYMAKAGDKYYPVVVDGHVGLLDQAWRVPCA
Reading sequence file /data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_L2_VIPR_ALG4_QEY10630_1_939_2753_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/codeml/fasta/DcCoV_HKU23_camel_Morocco_CAC2586_2016_L2_VIPR_ALG4_QEY10630_1_939_2753_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1
Found 30 sequences of length 1815
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 2.6%
Found 112 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% 98.9%100.0%
Using a window size of 80 with k as 5
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 124 polymorphic sites
**p-Value(s)**
----------
NSS: 6.44e-01 (1000 permutations)
Max Chi^2: 8.00e-03 (1000 permutations)
PHI (Permutation): 5.30e-02 (1000 permutations)
PHI (Normal): 4.55e-02
#NEXUS
[ID: 6454856669]
begin taxa;
dimensions ntax=30;
taxlabels
PHEV_CoV_swine_USA_15TOSU0331_2015_L2_VIPR_ALG4_ARC95209_1_910_2724_1_2015_08_15_USA_Swine_Betacoronavirus_1
UNKNOWN_FJ425185_L2_VIPR_ALG4_215478110_906_2720_1_1994_01_01_USA_Antelope_Betacoronavirus_1
87309_Belgium_2003_L2_VIPR_ALG4_62530889_949_2763_1_NA_Belgium_Unknown_Betacoronavirus_1
IWT_19_L2_VIPR_ALG4_BBM61084_1_925_2739_1_2016_12_Japan_Unknown_Betacoronavirus_1
OC43_human_USA_873_6_1987_L2_VIPR_ALG4_530802456_929_2743_1_1987_03_05_USA_Human_Betacoronavirus_1
OC43_human_USA_9712_13_1997_L2_VIPR_ALG4_530802292_929_2743_1_1997_12_11_USA_Human_Betacoronavirus_1
TCG_27_L2_VIPR_ALG4_BBM61514_1_925_2739_1_2017_12_Japan_Unknown_Betacoronavirus_1
US_OH3_TC_2006_L2_VIPR_ALG4_145208979_933_2747_1_NA_USA_Giraffe_Betacoronavirus_1
5479_2007_L2_VIPR_ALG4_701216792_948_2762_1_2007_06_China_Human_Betacoronavirus_1
BCOV_China_SWUN_A10_2018_L2_VIPR_ALG4_QOV05174_1_949_2763_1_2018_11_01_China_Cattle_Betacoronavirus_1
YC_68_L2_VIPR_ALG4_AXX83360_1_862_2676_1_2015_06_05_China_Unknown_Betacoronavirus_1
E_AH65_L2_VIPR_ALG4_145208890_949_2763_1_NA_USA_Cattle_Betacoronavirus_1
5595_2007_L2_VIPR_ALG4_701216848_948_2762_1_2007_07_China_Human_Betacoronavirus_1
OC43_human_USA_911_66_1991_L2_VIPR_ALG4_530802478_943_2757_1_1991_01_29_USA_Human_Betacoronavirus_1
PHEV_CoV_swine_USA_15TOSU1727_2015_L2_VIPR_ALG4_ARC95257_1_910_2724_1_2015_08_08_USA_Swine_Betacoronavirus_1
Quebec_L2_VIPR_ALG4_17529671_949_2763_1_NA_NA_Unknown_Betacoronavirus_1
MY_U710_12_L2_VIPR_ALG4_AQN78701_1_948_2762_1_2012_06_20_Malaysia_Human_Betacoronavirus_1
SHG_3_L2_VIPR_ALG4_BBM61214_1_925_2739_1_2014_12_Japan_Unknown_Betacoronavirus_1
TCG_12_L2_VIPR_ALG4_BBM61324_1_924_2738_1_2008_12_Japan_Unknown_Betacoronavirus_1
TCG_9_L2_VIPR_ALG4_BBM61424_1_913_2727_1_2008_03_Japan_Unknown_Betacoronavirus_1
5240_2007_L2_VIPR_ALG4_701216652_948_2762_1_2007_05_China_Human_Betacoronavirus_1
IWT_4_L2_VIPR_ALG4_BBM60974_1_925_2739_1_2011_06_Japan_Unknown_Betacoronavirus_1
Kakegawa_L2_VIPR_ALG4_155369168_949_2763_1_NA_Japan_Unknown_Betacoronavirus_1
LY341_L2_VIPR_ALG4_721347196_949_2763_1_2011_10_03_China_Human_Betacoronavirus_1
E_AH187_TC_L2_VIPR_ALG4_251748090_933_2747_1_2000_01_01_USA_Cattle_Betacoronavirus_1
5345_2007_L2_VIPR_ALG4_701216659_948_2762_1_2007_05_China_Human_Betacoronavirus_1
MDS16_L2_VIPR_ALG4_QBQ01836_1_928_2742_1_NA_NA_Unknown_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC0682_2019_L2_VIPR_ALG4_QEG03736_1_910_2724_1_2019_USA_Human_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC0810_2019_L2_VIPR_ALG4_QEG03753_1_945_2759_1_2019_USA_Human_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC2770_2015_L2_VIPR_ALG4_ARK08647_1_910_2724_1_2015_USA_Human_Betacoronavirus_1
;
end;
begin trees;
translate
1 PHEV_CoV_swine_USA_15TOSU0331_2015_L2_VIPR_ALG4_ARC95209_1_910_2724_1_2015_08_15_USA_Swine_Betacoronavirus_1,
2 UNKNOWN_FJ425185_L2_VIPR_ALG4_215478110_906_2720_1_1994_01_01_USA_Antelope_Betacoronavirus_1,
3 87309_Belgium_2003_L2_VIPR_ALG4_62530889_949_2763_1_NA_Belgium_Unknown_Betacoronavirus_1,
4 IWT_19_L2_VIPR_ALG4_BBM61084_1_925_2739_1_2016_12_Japan_Unknown_Betacoronavirus_1,
5 OC43_human_USA_873_6_1987_L2_VIPR_ALG4_530802456_929_2743_1_1987_03_05_USA_Human_Betacoronavirus_1,
6 OC43_human_USA_9712_13_1997_L2_VIPR_ALG4_530802292_929_2743_1_1997_12_11_USA_Human_Betacoronavirus_1,
7 TCG_27_L2_VIPR_ALG4_BBM61514_1_925_2739_1_2017_12_Japan_Unknown_Betacoronavirus_1,
8 US_OH3_TC_2006_L2_VIPR_ALG4_145208979_933_2747_1_NA_USA_Giraffe_Betacoronavirus_1,
9 5479_2007_L2_VIPR_ALG4_701216792_948_2762_1_2007_06_China_Human_Betacoronavirus_1,
10 BCOV_China_SWUN_A10_2018_L2_VIPR_ALG4_QOV05174_1_949_2763_1_2018_11_01_China_Cattle_Betacoronavirus_1,
11 YC_68_L2_VIPR_ALG4_AXX83360_1_862_2676_1_2015_06_05_China_Unknown_Betacoronavirus_1,
12 E_AH65_L2_VIPR_ALG4_145208890_949_2763_1_NA_USA_Cattle_Betacoronavirus_1,
13 5595_2007_L2_VIPR_ALG4_701216848_948_2762_1_2007_07_China_Human_Betacoronavirus_1,
14 OC43_human_USA_911_66_1991_L2_VIPR_ALG4_530802478_943_2757_1_1991_01_29_USA_Human_Betacoronavirus_1,
15 PHEV_CoV_swine_USA_15TOSU1727_2015_L2_VIPR_ALG4_ARC95257_1_910_2724_1_2015_08_08_USA_Swine_Betacoronavirus_1,
16 Quebec_L2_VIPR_ALG4_17529671_949_2763_1_NA_NA_Unknown_Betacoronavirus_1,
17 MY_U710_12_L2_VIPR_ALG4_AQN78701_1_948_2762_1_2012_06_20_Malaysia_Human_Betacoronavirus_1,
18 SHG_3_L2_VIPR_ALG4_BBM61214_1_925_2739_1_2014_12_Japan_Unknown_Betacoronavirus_1,
19 TCG_12_L2_VIPR_ALG4_BBM61324_1_924_2738_1_2008_12_Japan_Unknown_Betacoronavirus_1,
20 TCG_9_L2_VIPR_ALG4_BBM61424_1_913_2727_1_2008_03_Japan_Unknown_Betacoronavirus_1,
21 5240_2007_L2_VIPR_ALG4_701216652_948_2762_1_2007_05_China_Human_Betacoronavirus_1,
22 IWT_4_L2_VIPR_ALG4_BBM60974_1_925_2739_1_2011_06_Japan_Unknown_Betacoronavirus_1,
23 Kakegawa_L2_VIPR_ALG4_155369168_949_2763_1_NA_Japan_Unknown_Betacoronavirus_1,
24 LY341_L2_VIPR_ALG4_721347196_949_2763_1_2011_10_03_China_Human_Betacoronavirus_1,
25 E_AH187_TC_L2_VIPR_ALG4_251748090_933_2747_1_2000_01_01_USA_Cattle_Betacoronavirus_1,
26 5345_2007_L2_VIPR_ALG4_701216659_948_2762_1_2007_05_China_Human_Betacoronavirus_1,
27 MDS16_L2_VIPR_ALG4_QBQ01836_1_928_2742_1_NA_NA_Unknown_Betacoronavirus_1,
28 HCoV_OC43_Seattle_USA_SC0682_2019_L2_VIPR_ALG4_QEG03736_1_910_2724_1_2019_USA_Human_Betacoronavirus_1,
29 HCoV_OC43_Seattle_USA_SC0810_2019_L2_VIPR_ALG4_QEG03753_1_945_2759_1_2019_USA_Human_Betacoronavirus_1,
30 HCoV_OC43_Seattle_USA_SC2770_2015_L2_VIPR_ALG4_ARK08647_1_910_2724_1_2015_USA_Human_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 = (1:5.316587e-03,15:5.407005e-03,(((((2:1.853269e-03,(8:1.788080e-03,12:1.293174e-03,25:1.787684e-03)0.983:1.251979e-03)0.880:9.045572e-04,(4:5.646541e-03,(((7:2.262625e-03,20:1.811926e-03)1.000:2.481085e-03,18:4.851256e-03)0.674:8.231133e-04,(19:9.971921e-04,22:4.662150e-03)0.610:8.300781e-04)0.997:1.684636e-03)0.981:1.369377e-03)0.999:2.475395e-03,10:1.091746e-02)0.998:2.518082e-03,(16:3.348541e-03,23:1.356586e-03)0.941:1.578730e-03)1.000:1.053717e-02,(((3:8.172290e-04,(9:3.334122e-04,(11:8.447777e-04,27:3.350802e-04)0.999:1.320609e-03,13:8.052954e-04,(17:3.597469e-04,(28:3.094013e-04,29:3.427827e-04)1.000:1.836897e-03)0.949:8.599823e-04,21:7.994352e-04,24:1.300221e-03,26:8.182001e-04,30:7.953929e-04)0.998:1.324207e-03)1.000:3.050349e-03,(6:1.331636e-03,14:3.532547e-04)0.647:7.438920e-04)0.991:2.568600e-03,5:3.797529e-03)1.000:1.940405e-02)1.000:1.168561e-02);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:5.316587e-03,15:5.407005e-03,(((((2:1.853269e-03,(8:1.788080e-03,12:1.293174e-03,25:1.787684e-03):1.251979e-03):9.045572e-04,(4:5.646541e-03,(((7:2.262625e-03,20:1.811926e-03):2.481085e-03,18:4.851256e-03):8.231133e-04,(19:9.971921e-04,22:4.662150e-03):8.300781e-04):1.684636e-03):1.369377e-03):2.475395e-03,10:1.091746e-02):2.518082e-03,(16:3.348541e-03,23:1.356586e-03):1.578730e-03):1.053717e-02,(((3:8.172290e-04,(9:3.334122e-04,(11:8.447777e-04,27:3.350802e-04):1.320609e-03,13:8.052954e-04,(17:3.597469e-04,(28:3.094013e-04,29:3.427827e-04):1.836897e-03):8.599823e-04,21:7.994352e-04,24:1.300221e-03,26:8.182001e-04,30:7.953929e-04):1.324207e-03):3.050349e-03,(6:1.331636e-03,14:3.532547e-04):7.438920e-04):2.568600e-03,5:3.797529e-03):1.940405e-02):1.168561e-02);
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 -3990.81 -4021.82
2 -3993.36 -4019.10
--------------------------------------
TOTAL -3991.43 -4021.19
--------------------------------------
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} 0.147733 0.000152 0.123821 0.171171 0.147189 1384.70 1442.85 1.000
r(A<->C){all} 0.079795 0.000481 0.039967 0.122679 0.078303 680.98 798.76 1.002
r(A<->G){all} 0.269865 0.001186 0.208588 0.339241 0.268626 716.83 749.33 1.000
r(A<->T){all} 0.029096 0.000074 0.014089 0.046766 0.028157 1006.32 1069.73 1.000
r(C<->G){all} 0.062873 0.000454 0.023678 0.104757 0.059974 823.34 872.70 1.000
r(C<->T){all} 0.502376 0.001478 0.429121 0.575224 0.501784 654.50 714.12 1.000
r(G<->T){all} 0.055995 0.000149 0.032317 0.079733 0.055073 1055.63 1079.86 1.000
pi(A){all} 0.254935 0.000098 0.235367 0.274249 0.254782 812.45 1007.20 1.000
pi(C){all} 0.138849 0.000059 0.124281 0.153744 0.138909 1085.49 1123.54 1.000
pi(G){all} 0.227200 0.000090 0.209443 0.245672 0.227184 862.07 1061.84 1.000
pi(T){all} 0.379016 0.000117 0.356823 0.399088 0.378942 1224.28 1258.06 1.000
alpha{1,2} 0.293653 0.031880 0.000349 0.633293 0.260292 683.03 771.60 1.000
alpha{3} 2.016848 1.423593 0.354264 4.437631 1.760569 651.35 850.62 1.000
pinvar{all} 0.425632 0.016723 0.157511 0.640149 0.444410 594.13 648.87 1.000
------------------------------------------------------------------------------------------------------
* 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_L2_VIPR_ALG4_QEY10630_1_939_2753_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 = 605
Codon usage in sequences
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 28 28 30 30 31 30 | Ser TCT 15 19 18 15 18 15 | Tyr TAT 33 31 33 33 32 33 | Cys TGT 14 15 15 15 15 15
TTC 2 2 0 1 0 1 | TCC 2 0 2 2 0 2 | TAC 3 4 4 3 3 3 | TGC 6 6 6 6 6 6
Leu TTA 21 20 20 20 20 20 | TCA 7 6 6 7 6 7 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 17 19 22 17 17 17 | TCG 1 0 0 1 1 1 | TAG 0 0 0 0 0 0 | Trp TGG 8 8 8 8 8 8
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 11 11 10 10 11 10 | Pro CCT 15 15 15 16 15 16 | His CAT 14 13 11 14 14 14 | Arg CGT 8 8 9 8 8 7
CTC 4 3 4 4 4 4 | CCC 0 0 1 0 1 0 | CAC 2 3 3 2 3 2 | CGC 2 2 2 1 2 2
CTA 2 2 1 2 2 2 | CCA 7 5 6 7 5 7 | Gln CAA 15 14 13 15 14 15 | CGA 1 0 1 1 0 1
CTG 5 3 2 5 4 5 | CCG 0 2 1 0 2 0 | CAG 6 6 6 6 6 6 | CGG 1 3 2 1 3 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 20 19 21 21 18 20 | Thr ACT 17 17 17 17 17 17 | Asn AAT 12 12 12 11 11 11 | Ser AGT 18 16 16 18 17 18
ATC 0 1 0 0 2 0 | ACC 2 3 2 2 2 2 | AAC 2 2 2 3 2 3 | AGC 1 2 2 1 2 1
ATA 9 8 7 10 8 10 | ACA 6 6 5 6 6 6 | Lys AAA 22 21 20 22 21 22 | Arg AGA 7 5 8 7 5 7
Met ATG 10 10 10 10 10 10 | ACG 0 0 0 0 0 0 | AAG 13 14 13 13 15 13 | AGG 0 1 0 0 1 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 47 44 41 46 44 45 | Ala GCT 21 18 18 20 18 21 | Asp GAT 38 34 39 38 34 38 | Gly GGT 27 35 28 26 32 26
GTC 0 0 0 0 1 1 | GCC 2 1 3 2 2 2 | GAC 7 10 9 7 9 7 | GGC 7 6 7 8 5 8
GTA 11 10 13 11 12 11 | GCA 22 22 24 22 23 22 | Glu GAA 11 10 11 11 11 11 | GGA 5 6 5 5 5 5
GTG 10 13 13 10 12 10 | GCG 1 3 2 2 2 2 | GAG 7 8 6 6 7 6 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 29 30 30 29 29 30 | Ser TCT 19 15 15 18 18 18 | Tyr TAT 32 33 33 32 31 33 | Cys TGT 15 15 15 14 15 15
TTC 1 1 1 1 1 0 | TCC 0 2 2 1 1 1 | TAC 4 3 3 3 4 4 | TGC 6 6 6 7 6 6
Leu TTA 20 20 20 20 20 19 | TCA 6 7 7 6 6 6 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 17 17 18 17 18 22 | TCG 1 1 0 1 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 8 8 8 8 8 8
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 11 10 11 11 10 11 | Pro CCT 16 16 16 16 16 16 | His CAT 12 14 14 13 13 11 | Arg CGT 8 7 7 8 8 9
CTC 3 4 3 3 4 4 | CCC 0 0 0 0 0 0 | CAC 3 2 2 3 3 3 | CGC 2 2 2 2 2 2
CTA 2 2 2 1 2 2 | CCA 5 7 7 5 5 5 | Gln CAA 14 15 15 14 14 13 | CGA 0 1 1 0 0 1
CTG 5 5 5 6 5 2 | CCG 2 0 0 2 2 2 | CAG 6 6 6 7 6 6 | CGG 3 1 1 2 3 2
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 18 20 19 19 19 19 | Thr ACT 17 17 17 16 17 17 | Asn AAT 14 11 11 13 12 12 | Ser AGT 17 18 18 17 17 17
ATC 2 0 1 2 1 0 | ACC 2 2 2 2 2 2 | AAC 1 3 3 2 2 2 | AGC 2 1 1 2 2 1
ATA 8 10 10 8 8 8 | ACA 6 6 6 6 6 6 | Lys AAA 21 22 22 21 21 21 | Arg AGA 5 7 7 5 5 8
Met ATG 10 10 10 10 10 10 | ACG 0 0 0 0 0 0 | AAG 14 13 13 14 14 12 | AGG 1 0 0 1 1 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 45 46 45 45 45 43 | Ala GCT 18 20 21 19 18 17 | Asp GAT 34 38 38 34 35 39 | Gly GGT 31 26 26 31 28 27
GTC 0 0 1 0 0 1 | GCC 2 3 2 2 2 3 | GAC 9 7 7 9 10 8 | GGC 6 8 8 6 6 8
GTA 12 11 11 11 12 11 | GCA 23 22 22 23 23 23 | Glu GAA 10 11 11 10 10 11 | GGA 5 5 5 5 5 5
GTG 12 10 10 13 12 13 | GCG 2 2 2 1 2 3 | GAG 8 6 6 8 8 7 | GGG 0 0 0 0 2 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 30 30 29 28 29 28 | Ser TCT 15 15 19 15 19 14 | Tyr TAT 33 33 31 33 30 33 | Cys TGT 15 15 15 13 15 14
TTC 1 1 1 2 1 2 | TCC 2 2 0 2 0 2 | TAC 3 3 4 3 4 3 | TGC 6 6 7 7 6 6
Leu TTA 20 20 20 21 20 21 | TCA 7 7 6 7 6 7 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 17 16 19 18 19 17 | TCG 1 1 0 1 0 1 | TAG 0 0 0 0 0 0 | Trp TGG 8 8 8 8 8 8
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 10 10 11 11 10 11 | Pro CCT 16 16 15 15 16 15 | His CAT 14 14 13 14 13 15 | Arg CGT 7 7 8 8 8 8
CTC 4 4 3 4 3 4 | CCC 0 0 1 0 0 0 | CAC 2 2 3 2 4 1 | CGC 2 2 1 2 2 2
CTA 2 2 2 2 2 2 | CCA 7 7 5 7 5 7 | Gln CAA 15 15 14 15 14 15 | CGA 1 1 0 0 0 1
CTG 5 6 4 4 4 5 | CCG 0 0 2 0 2 0 | CAG 6 6 6 6 6 6 | CGG 1 1 3 2 3 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 20 20 18 21 19 20 | Thr ACT 17 17 16 17 16 17 | Asn AAT 12 11 14 11 13 12 | Ser AGT 18 18 17 18 17 18
ATC 0 0 3 0 2 0 | ACC 2 2 2 2 3 2 | AAC 3 3 1 4 2 2 | AGC 1 1 2 1 2 1
ATA 10 10 8 9 8 9 | ACA 6 6 6 7 5 6 | Lys AAA 22 22 21 22 20 22 | Arg AGA 7 7 5 7 5 7
Met ATG 10 10 10 10 10 10 | ACG 0 0 0 0 0 0 | AAG 13 13 14 13 15 13 | AGG 0 0 1 0 1 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 46 46 45 46 45 47 | Ala GCT 21 21 19 21 17 22 | Asp GAT 37 38 34 36 33 38 | Gly GGT 27 26 30 26 31 27
GTC 0 0 0 0 1 0 | GCC 2 2 2 2 2 2 | GAC 7 7 9 8 10 7 | GGC 7 8 7 8 6 7
GTA 11 11 12 11 11 11 | GCA 22 22 22 21 24 22 | Glu GAA 11 11 9 11 10 11 | GGA 5 5 5 5 5 5
GTG 10 10 12 10 13 10 | GCG 1 2 2 1 2 1 | GAG 7 6 9 7 8 7 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 30 28 29 29 30 30 | Ser TCT 15 19 18 18 15 15 | Tyr TAT 33 31 32 32 33 33 | Cys TGT 15 15 15 15 15 15
TTC 1 2 1 1 1 1 | TCC 2 0 0 1 2 2 | TAC 3 4 4 3 3 3 | TGC 6 6 6 6 6 6
Leu TTA 20 20 20 20 20 20 | TCA 7 6 6 6 7 7 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 17 19 18 17 17 17 | TCG 1 0 0 1 1 1 | TAG 0 0 0 0 0 0 | Trp TGG 8 8 8 8 8 8
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 10 11 10 11 10 10 | Pro CCT 16 16 16 15 16 16 | His CAT 14 14 12 13 14 14 | Arg CGT 7 8 8 8 7 8
CTC 4 3 4 3 4 4 | CCC 0 0 0 0 0 0 | CAC 2 3 3 4 2 2 | CGC 2 2 2 2 2 1
CTA 2 2 2 2 2 2 | CCA 7 5 5 5 7 7 | Gln CAA 15 13 14 14 15 15 | CGA 1 0 0 0 1 1
CTG 5 4 5 5 5 5 | CCG 0 2 2 2 0 0 | CAG 6 6 6 7 6 6 | CGG 1 3 3 2 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 21 19 19 19 20 21 | Thr ACT 16 17 18 16 17 17 | Asn AAT 11 12 12 13 11 11 | Ser AGT 18 16 17 17 18 18
ATC 0 1 1 2 0 0 | ACC 2 3 2 2 2 2 | AAC 3 2 2 2 3 3 | AGC 1 2 2 1 1 1
ATA 10 8 8 8 10 10 | ACA 6 6 6 6 6 6 | Lys AAA 22 21 21 21 22 22 | Arg AGA 7 5 5 5 6 7
Met ATG 10 10 10 10 10 10 | ACG 0 0 0 0 0 0 | AAG 13 13 14 14 13 13 | AGG 0 2 1 1 1 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 46 46 42 45 46 45 | Ala GCT 21 18 18 18 21 21 | Asp GAT 38 34 35 35 38 38 | Gly GGT 26 32 30 31 26 26
GTC 0 0 2 0 0 0 | GCC 2 1 2 2 2 2 | GAC 7 10 10 8 7 7 | GGC 8 6 6 7 8 8
GTA 11 11 13 11 11 11 | GCA 22 22 23 23 22 22 | Glu GAA 11 10 10 10 11 11 | GGA 5 5 5 5 5 5
GTG 10 12 12 13 10 10 | GCG 2 3 2 2 2 2 | GAG 5 8 8 8 6 6 | GGG 1 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 29 29 30 30 30 29 | Ser TCT 19 18 15 15 15 19 | Tyr TAT 31 32 33 33 33 31 | Cys TGT 15 15 15 15 15 15
TTC 1 1 1 1 1 1 | TCC 0 0 2 2 2 0 | TAC 4 3 3 3 3 4 | TGC 6 6 6 6 6 6
Leu TTA 20 20 20 20 20 20 | TCA 6 6 7 7 7 6 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 19 20 17 17 18 18 | TCG 0 0 1 1 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 8 8 8 8 8 8
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 10 11 10 10 11 10 | Pro CCT 16 16 16 16 16 16 | His CAT 14 12 14 14 14 13 | Arg CGT 8 9 7 7 7 8
CTC 4 3 4 4 3 4 | CCC 0 0 0 0 0 0 | CAC 3 4 2 2 2 3 | CGC 2 2 2 2 2 2
CTA 2 2 2 2 2 2 | CCA 5 5 7 7 7 5 | Gln CAA 14 14 15 15 15 14 | CGA 0 0 1 1 1 0
CTG 4 3 5 5 5 5 | CCG 2 2 0 0 0 2 | CAG 6 6 6 6 6 6 | CGG 3 3 1 1 1 3
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 19 19 20 20 19 20 | Thr ACT 17 15 17 17 17 17 | Asn AAT 13 11 11 11 11 12 | Ser AGT 17 17 18 18 18 17
ATC 1 1 0 0 1 1 | ACC 2 3 2 2 2 2 | AAC 2 3 3 3 3 2 | AGC 2 2 1 1 1 2
ATA 8 8 10 10 10 8 | ACA 6 6 6 6 6 6 | Lys AAA 21 22 22 22 22 21 | Arg AGA 5 5 7 7 7 5
Met ATG 10 9 10 10 10 10 | ACG 0 1 0 0 0 0 | AAG 14 14 13 13 13 14 | AGG 1 1 0 0 0 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 43 45 46 46 45 41 | Ala GCT 18 16 21 21 21 18 | Asp GAT 33 35 38 38 38 35 | Gly GGT 30 33 26 26 26 30
GTC 2 1 0 0 1 3 | GCC 2 2 2 2 2 2 | GAC 10 9 7 7 7 10 | GGC 6 5 8 8 8 6
GTA 12 13 11 12 11 12 | GCA 23 22 22 22 22 23 | Glu GAA 10 10 11 11 11 10 | GGA 5 5 5 5 5 5
GTG 12 11 10 9 10 12 | GCG 2 3 2 2 2 2 | GAG 8 8 6 6 6 8 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Codon position x base (3x4) table for each sequence.
#1: C182
position 1: T:0.25950 C:0.15372 A:0.22975 G:0.35702
position 2: T:0.32562 C:0.19504 A:0.30579 G:0.17355
position 3: T:0.55868 C:0.06942 A:0.24132 G:0.13058
Average T:0.38127 C:0.13939 A:0.25895 G:0.22039
#2: C217
position 1: T:0.26116 C:0.14876 A:0.22645 G:0.36364
position 2: T:0.31901 C:0.19339 A:0.30083 G:0.18678
position 3: T:0.55372 C:0.07438 A:0.22314 G:0.14876
Average T:0.37796 C:0.13884 A:0.25014 G:0.23306
#3: C213
position 1: T:0.27107 C:0.14380 A:0.22314 G:0.36198
position 2: T:0.32066 C:0.19835 A:0.30083 G:0.18017
position 3: T:0.55041 C:0.07769 A:0.23140 G:0.14050
Average T:0.38072 C:0.13994 A:0.25179 G:0.22755
#4: C287
position 1: T:0.26116 C:0.15207 A:0.23306 G:0.35372
position 2: T:0.32562 C:0.19669 A:0.30413 G:0.17355
position 3: T:0.55868 C:0.06942 A:0.24132 G:0.13058
Average T:0.38182 C:0.13939 A:0.25950 G:0.21928
#5: C223
position 1: T:0.25950 C:0.15537 A:0.22645 G:0.35868
position 2: T:0.32397 C:0.19504 A:0.30083 G:0.18017
position 3: T:0.55372 C:0.07273 A:0.22810 G:0.14545
Average T:0.37906 C:0.14105 A:0.25179 G:0.22810
#6: C151
position 1: T:0.26116 C:0.15207 A:0.23140 G:0.35537
position 2: T:0.32397 C:0.19835 A:0.30413 G:0.17355
position 3: T:0.55537 C:0.07273 A:0.24132 G:0.13058
Average T:0.38017 C:0.14105 A:0.25895 G:0.21983
#7: C230
position 1: T:0.26116 C:0.15207 A:0.22810 G:0.35868
position 2: T:0.32231 C:0.19669 A:0.30083 G:0.18017
position 3: T:0.55537 C:0.07107 A:0.22645 G:0.14711
Average T:0.37961 C:0.13994 A:0.25179 G:0.22865
#8: C44
position 1: T:0.26116 C:0.15207 A:0.23140 G:0.35537
position 2: T:0.32397 C:0.19835 A:0.30413 G:0.17355
position 3: T:0.55537 C:0.07273 A:0.24132 G:0.13058
Average T:0.38017 C:0.14105 A:0.25895 G:0.21983
#9: C77
position 1: T:0.26116 C:0.15207 A:0.23140 G:0.35537
position 2: T:0.32562 C:0.19669 A:0.30413 G:0.17355
position 3: T:0.55537 C:0.07273 A:0.24132 G:0.13058
Average T:0.38072 C:0.14050 A:0.25895 G:0.21983
#10: C258
position 1: T:0.25950 C:0.15372 A:0.22810 G:0.35868
position 2: T:0.32397 C:0.19504 A:0.30248 G:0.17851
position 3: T:0.55372 C:0.07438 A:0.22314 G:0.14876
Average T:0.37906 C:0.14105 A:0.25124 G:0.22865
#11: C270
position 1: T:0.25950 C:0.15372 A:0.22645 G:0.36033
position 2: T:0.32397 C:0.19504 A:0.30248 G:0.17851
position 3: T:0.54711 C:0.07603 A:0.22645 G:0.15041
Average T:0.37686 C:0.14160 A:0.25179 G:0.22975
#12: C208
position 1: T:0.26777 C:0.14711 A:0.22314 G:0.36198
position 2: T:0.32231 C:0.19669 A:0.30083 G:0.18017
position 3: T:0.55207 C:0.07438 A:0.22975 G:0.14380
Average T:0.38072 C:0.13939 A:0.25124 G:0.22865
#13: C50
position 1: T:0.26116 C:0.15207 A:0.23306 G:0.35372
position 2: T:0.32397 C:0.19669 A:0.30579 G:0.17355
position 3: T:0.55868 C:0.06942 A:0.24132 G:0.13058
Average T:0.38127 C:0.13939 A:0.26006 G:0.21928
#14: C30
position 1: T:0.25950 C:0.15372 A:0.23140 G:0.35537
position 2: T:0.32397 C:0.19835 A:0.30413 G:0.17355
position 3: T:0.55702 C:0.07107 A:0.24132 G:0.13058
Average T:0.38017 C:0.14105 A:0.25895 G:0.21983
#15: C122
position 1: T:0.26281 C:0.15041 A:0.22810 G:0.35868
position 2: T:0.32562 C:0.19339 A:0.30083 G:0.18017
position 3: T:0.55207 C:0.07603 A:0.22314 G:0.14876
Average T:0.38017 C:0.13994 A:0.25069 G:0.22920
#16: C174
position 1: T:0.26116 C:0.15207 A:0.23471 G:0.35207
position 2: T:0.32562 C:0.19504 A:0.30579 G:0.17355
position 3: T:0.55041 C:0.07769 A:0.23967 G:0.13223
Average T:0.37906 C:0.14160 A:0.26006 G:0.21928
#17: C112
position 1: T:0.25950 C:0.15207 A:0.22810 G:0.36033
position 2: T:0.32562 C:0.19339 A:0.30083 G:0.18017
position 3: T:0.54711 C:0.07934 A:0.22314 G:0.15041
Average T:0.37741 C:0.14160 A:0.25069 G:0.23030
#18: C199
position 1: T:0.25785 C:0.15372 A:0.22975 G:0.35868
position 2: T:0.32562 C:0.19504 A:0.30579 G:0.17355
position 3: T:0.56033 C:0.06777 A:0.24132 G:0.13058
Average T:0.38127 C:0.13884 A:0.25895 G:0.22094
#19: C131
position 1: T:0.26116 C:0.15207 A:0.23140 G:0.35537
position 2: T:0.32562 C:0.19669 A:0.30248 G:0.17521
position 3: T:0.55702 C:0.07107 A:0.24132 G:0.13058
Average T:0.38127 C:0.13994 A:0.25840 G:0.22039
#20: C130
position 1: T:0.26116 C:0.15207 A:0.22645 G:0.36033
position 2: T:0.32397 C:0.19504 A:0.29917 G:0.18182
position 3: T:0.55537 C:0.07438 A:0.22149 G:0.14876
Average T:0.38017 C:0.14050 A:0.24904 G:0.23030
#21: C280
position 1: T:0.25950 C:0.15207 A:0.22810 G:0.36033
position 2: T:0.32397 C:0.19504 A:0.30248 G:0.17851
position 3: T:0.54711 C:0.07769 A:0.22810 G:0.14711
Average T:0.37686 C:0.14160 A:0.25289 G:0.22865
#22: C246
position 1: T:0.25950 C:0.15372 A:0.22645 G:0.36033
position 2: T:0.32397 C:0.19339 A:0.30413 G:0.17851
position 3: T:0.55372 C:0.07273 A:0.22479 G:0.14876
Average T:0.37906 C:0.13994 A:0.25179 G:0.22920
#23: C31
position 1: T:0.26116 C:0.15207 A:0.23140 G:0.35537
position 2: T:0.32397 C:0.19835 A:0.30413 G:0.17355
position 3: T:0.55702 C:0.07107 A:0.23967 G:0.13223
Average T:0.38072 C:0.14050 A:0.25840 G:0.22039
#24: C136
position 1: T:0.26116 C:0.15207 A:0.23306 G:0.35372
position 2: T:0.32397 C:0.19835 A:0.30413 G:0.17355
position 3: T:0.55868 C:0.06942 A:0.24132 G:0.13058
Average T:0.38127 C:0.13994 A:0.25950 G:0.21928
#25: C72
position 1: T:0.26116 C:0.15372 A:0.22810 G:0.35702
position 2: T:0.32397 C:0.19504 A:0.30248 G:0.17851
position 3: T:0.54876 C:0.07769 A:0.22645 G:0.14711
Average T:0.37796 C:0.14215 A:0.25234 G:0.22755
#26: C53
position 1: T:0.26116 C:0.15207 A:0.22645 G:0.36033
position 2: T:0.32397 C:0.19008 A:0.30248 G:0.18347
position 3: T:0.55041 C:0.07438 A:0.22810 G:0.14711
Average T:0.37851 C:0.13884 A:0.25234 G:0.23030
#27: C38
position 1: T:0.26116 C:0.15207 A:0.23140 G:0.35537
position 2: T:0.32397 C:0.19835 A:0.30413 G:0.17355
position 3: T:0.55702 C:0.07107 A:0.24132 G:0.13058
Average T:0.38072 C:0.14050 A:0.25895 G:0.21983
#28: C84
position 1: T:0.26116 C:0.15207 A:0.23140 G:0.35537
position 2: T:0.32397 C:0.19835 A:0.30413 G:0.17355
position 3: T:0.55702 C:0.07107 A:0.24298 G:0.12893
Average T:0.38072 C:0.14050 A:0.25950 G:0.21928
#29: C79
position 1: T:0.26116 C:0.15207 A:0.23140 G:0.35537
position 2: T:0.32562 C:0.19669 A:0.30413 G:0.17355
position 3: T:0.55537 C:0.07273 A:0.24132 G:0.13058
Average T:0.38072 C:0.14050 A:0.25895 G:0.21983
#30: C73
position 1: T:0.25950 C:0.15372 A:0.22810 G:0.35868
position 2: T:0.32397 C:0.19504 A:0.30248 G:0.17851
position 3: T:0.54711 C:0.07934 A:0.22645 G:0.14711
Average T:0.37686 C:0.14270 A:0.25234 G:0.22810
Sums of codon usage counts
------------------------------------------------------------------------------
Phe F TTT 881 | Ser S TCT 501 | Tyr Y TAT 969 | Cys C TGT 445
TTC 32 | TCC 36 | TAC 101 | TGC 183
Leu L TTA 602 | TCA 195 | *** * TAA 0 | *** * TGA 0
TTG 538 | TCG 17 | TAG 0 | Trp W TGG 240
------------------------------------------------------------------------------
Leu L CTT 314 | Pro P CCT 472 | His H CAT 402 | Arg R CGT 233
CTC 110 | CCC 3 | CAC 77 | CGC 57
CTA 58 | CCA 181 | Gln Q CAA 432 | CGA 16
CTG 136 | CCG 29 | CAG 182 | CGG 57
------------------------------------------------------------------------------
Ile I ATT 587 | Thr T ACT 504 | Asn N AAT 354 | Ser S AGT 522
ATC 22 | ACC 64 | AAC 73 | AGC 43
ATA 266 | ACA 179 | Lys K AAA 644 | Arg R AGA 185
Met M ATG 299 | ACG 1 | AAG 403 | AGG 15
------------------------------------------------------------------------------
Val V GTT 1347 | Ala A GCT 582 | Asp D GAT 1090 | Gly G GGT 852
GTC 14 | GCC 61 | GAC 246 | GGC 210
GTA 342 | GCA 672 | Glu E GAA 317 | GGA 151
GTG 334 | GCG 59 | GAG 210 | GGG 3
------------------------------------------------------------------------------
Codon position x base (3x4) table, overall
position 1: T:0.26116 C:0.15201 A:0.22926 G:0.35758
position 2: T:0.32408 C:0.19592 A:0.30303 G:0.17697
position 3: T:0.55399 C:0.07339 A:0.23361 G:0.13901
Average T:0.37974 C:0.14044 A:0.25530 G:0.22452
Model 1: NearlyNeutral (2 categories)
TREE # 1: (12, 3, (((((11, (21, 30, 25)), (17, (((22, 10), 5), (7, 15)))), 26), (2, 20)), (((13, (27, (4, 24), 8, (6, (9, 29)), 14, 19, 23, 28)), (18, 1)), 16))); MP score: 226
check convergence..
lnL(ntime: 50 np: 53): -3844.809145 +0.000000
31..12 31..3 31..32 32..33 33..34 34..35 35..36 36..11 36..37 37..21 37..30 37..25 35..38 38..17 38..39 39..40 40..41 41..22 41..10 40..5 39..42 42..7 42..15 34..26 33..43 43..2 43..20 32..44 44..45 45..46 46..13 46..47 47..27 47..48 48..4 48..24 47..8 47..49 49..6 49..50 50..9 50..29 47..14 47..19 47..23 47..28 45..51 51..18 51..1 44..16
0.017282 0.018512 0.039972 0.036867 0.008262 0.008755 0.001859 0.005640 0.003191 0.005275 0.003500 0.005286 0.003491 0.019273 0.005547 0.001620 0.007488 0.007140 0.005328 0.016293 0.001930 0.001834 0.016072 0.037365 0.002919 0.010732 0.003552 0.068917 0.009259 0.009114 0.001723 0.003610 0.000004 0.003545 0.001769 0.000004 0.001770 0.001768 0.000004 0.005303 0.000004 0.000004 0.001772 0.003547 0.001771 0.001772 0.001679 0.003540 0.000004 0.010519 6.344112 0.914390 0.068446
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.426386
(12: 0.017282, 3: 0.018512, (((((11: 0.005640, (21: 0.005275, 30: 0.003500, 25: 0.005286): 0.003191): 0.001859, (17: 0.019273, (((22: 0.007140, 10: 0.005328): 0.007488, 5: 0.016293): 0.001620, (7: 0.001834, 15: 0.016072): 0.001930): 0.005547): 0.003491): 0.008755, 26: 0.037365): 0.008262, (2: 0.010732, 20: 0.003552): 0.002919): 0.036867, (((13: 0.001723, (27: 0.000004, (4: 0.001769, 24: 0.000004): 0.003545, 8: 0.001770, (6: 0.000004, (9: 0.000004, 29: 0.000004): 0.005303): 0.001768, 14: 0.001772, 19: 0.003547, 23: 0.001771, 28: 0.001772): 0.003610): 0.009114, (18: 0.003540, 1: 0.000004): 0.001679): 0.009259, 16: 0.010519): 0.068917): 0.039972);
(C208: 0.017282, C213: 0.018512, (((((C270: 0.005640, (C280: 0.005275, C73: 0.003500, C72: 0.005286): 0.003191): 0.001859, (C112: 0.019273, (((C246: 0.007140, C258: 0.005328): 0.007488, C223: 0.016293): 0.001620, (C230: 0.001834, C122: 0.016072): 0.001930): 0.005547): 0.003491): 0.008755, C53: 0.037365): 0.008262, (C217: 0.010732, C130: 0.003552): 0.002919): 0.036867, (((C50: 0.001723, (C38: 0.000004, (C287: 0.001769, C136: 0.000004): 0.003545, C44: 0.001770, (C151: 0.000004, (C77: 0.000004, C79: 0.000004): 0.005303): 0.001768, C30: 0.001772, C131: 0.003547, C31: 0.001771, C84: 0.001772): 0.003610): 0.009114, (C199: 0.003540, C182: 0.000004): 0.001679): 0.009259, C174: 0.010519): 0.068917): 0.039972);
Detailed output identifying parameters
kappa (ts/tv) = 6.34411
MLEs of dN/dS (w) for site classes (K=2)
p: 0.91439 0.08561
w: 0.06845 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.017 1517.8 297.2 0.1482 0.0030 0.0200 4.5 6.0
31..3 0.019 1517.8 297.2 0.1482 0.0032 0.0214 4.8 6.4
31..32 0.040 1517.8 297.2 0.1482 0.0069 0.0463 10.4 13.8
32..33 0.037 1517.8 297.2 0.1482 0.0063 0.0427 9.6 12.7
33..34 0.008 1517.8 297.2 0.1482 0.0014 0.0096 2.2 2.8
34..35 0.009 1517.8 297.2 0.1482 0.0015 0.0101 2.3 3.0
35..36 0.002 1517.8 297.2 0.1482 0.0003 0.0022 0.5 0.6
36..11 0.006 1517.8 297.2 0.1482 0.0010 0.0065 1.5 1.9
36..37 0.003 1517.8 297.2 0.1482 0.0005 0.0037 0.8 1.1
37..21 0.005 1517.8 297.2 0.1482 0.0009 0.0061 1.4 1.8
37..30 0.004 1517.8 297.2 0.1482 0.0006 0.0041 0.9 1.2
37..25 0.005 1517.8 297.2 0.1482 0.0009 0.0061 1.4 1.8
35..38 0.003 1517.8 297.2 0.1482 0.0006 0.0040 0.9 1.2
38..17 0.019 1517.8 297.2 0.1482 0.0033 0.0223 5.0 6.6
38..39 0.006 1517.8 297.2 0.1482 0.0010 0.0064 1.4 1.9
39..40 0.002 1517.8 297.2 0.1482 0.0003 0.0019 0.4 0.6
40..41 0.007 1517.8 297.2 0.1482 0.0013 0.0087 2.0 2.6
41..22 0.007 1517.8 297.2 0.1482 0.0012 0.0083 1.9 2.5
41..10 0.005 1517.8 297.2 0.1482 0.0009 0.0062 1.4 1.8
40..5 0.016 1517.8 297.2 0.1482 0.0028 0.0189 4.2 5.6
39..42 0.002 1517.8 297.2 0.1482 0.0003 0.0022 0.5 0.7
42..7 0.002 1517.8 297.2 0.1482 0.0003 0.0021 0.5 0.6
42..15 0.016 1517.8 297.2 0.1482 0.0028 0.0186 4.2 5.5
34..26 0.037 1517.8 297.2 0.1482 0.0064 0.0433 9.7 12.9
33..43 0.003 1517.8 297.2 0.1482 0.0005 0.0034 0.8 1.0
43..2 0.011 1517.8 297.2 0.1482 0.0018 0.0124 2.8 3.7
43..20 0.004 1517.8 297.2 0.1482 0.0006 0.0041 0.9 1.2
32..44 0.069 1517.8 297.2 0.1482 0.0118 0.0799 18.0 23.7
44..45 0.009 1517.8 297.2 0.1482 0.0016 0.0107 2.4 3.2
45..46 0.009 1517.8 297.2 0.1482 0.0016 0.0106 2.4 3.1
46..13 0.002 1517.8 297.2 0.1482 0.0003 0.0020 0.4 0.6
46..47 0.004 1517.8 297.2 0.1482 0.0006 0.0042 0.9 1.2
47..27 0.000 1517.8 297.2 0.1482 0.0000 0.0000 0.0 0.0
47..48 0.004 1517.8 297.2 0.1482 0.0006 0.0041 0.9 1.2
48..4 0.002 1517.8 297.2 0.1482 0.0003 0.0020 0.5 0.6
48..24 0.000 1517.8 297.2 0.1482 0.0000 0.0000 0.0 0.0
47..8 0.002 1517.8 297.2 0.1482 0.0003 0.0021 0.5 0.6
47..49 0.002 1517.8 297.2 0.1482 0.0003 0.0020 0.5 0.6
49..6 0.000 1517.8 297.2 0.1482 0.0000 0.0000 0.0 0.0
49..50 0.005 1517.8 297.2 0.1482 0.0009 0.0061 1.4 1.8
50..9 0.000 1517.8 297.2 0.1482 0.0000 0.0000 0.0 0.0
50..29 0.000 1517.8 297.2 0.1482 0.0000 0.0000 0.0 0.0
47..14 0.002 1517.8 297.2 0.1482 0.0003 0.0021 0.5 0.6
47..19 0.004 1517.8 297.2 0.1482 0.0006 0.0041 0.9 1.2
47..23 0.002 1517.8 297.2 0.1482 0.0003 0.0021 0.5 0.6
47..28 0.002 1517.8 297.2 0.1482 0.0003 0.0021 0.5 0.6
45..51 0.002 1517.8 297.2 0.1482 0.0003 0.0019 0.4 0.6
51..18 0.004 1517.8 297.2 0.1482 0.0006 0.0041 0.9 1.2
51..1 0.000 1517.8 297.2 0.1482 0.0000 0.0000 0.0 0.0
44..16 0.011 1517.8 297.2 0.1482 0.0018 0.0122 2.7 3.6
Time used: 6:47
Model 2: PositiveSelection (3 categories)
TREE # 1: (12, 3, (((((11, (21, 30, 25)), (17, (((22, 10), 5), (7, 15)))), 26), (2, 20)), (((13, (27, (4, 24), 8, (6, (9, 29)), 14, 19, 23, 28)), (18, 1)), 16))); MP score: 226
check convergence..
lnL(ntime: 50 np: 55): -3841.537851 +0.000000
31..12 31..3 31..32 32..33 33..34 34..35 35..36 36..11 36..37 37..21 37..30 37..25 35..38 38..17 38..39 39..40 40..41 41..22 41..10 40..5 39..42 42..7 42..15 34..26 33..43 43..2 43..20 32..44 44..45 45..46 46..13 46..47 47..27 47..48 48..4 48..24 47..8 47..49 49..6 49..50 50..9 50..29 47..14 47..19 47..23 47..28 45..51 51..18 51..1 44..16
0.018719 0.019803 0.043299 0.039487 0.008961 0.009379 0.001991 0.006026 0.003428 0.005647 0.003748 0.005660 0.003857 0.020765 0.005803 0.001741 0.008023 0.007651 0.005709 0.017465 0.002066 0.001973 0.017204 0.040021 0.003012 0.011504 0.003813 0.073811 0.009920 0.009759 0.001852 0.003863 0.000004 0.003796 0.001893 0.000004 0.001897 0.001895 0.000004 0.005682 0.000004 0.000004 0.001898 0.003801 0.001898 0.001899 0.001801 0.003792 0.000004 0.011030 6.504706 0.923483 0.072928 0.075217 11.274935
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.457267
(12: 0.018719, 3: 0.019803, (((((11: 0.006026, (21: 0.005647, 30: 0.003748, 25: 0.005660): 0.003428): 0.001991, (17: 0.020765, (((22: 0.007651, 10: 0.005709): 0.008023, 5: 0.017465): 0.001741, (7: 0.001973, 15: 0.017204): 0.002066): 0.005803): 0.003857): 0.009379, 26: 0.040021): 0.008961, (2: 0.011504, 20: 0.003813): 0.003012): 0.039487, (((13: 0.001852, (27: 0.000004, (4: 0.001893, 24: 0.000004): 0.003796, 8: 0.001897, (6: 0.000004, (9: 0.000004, 29: 0.000004): 0.005682): 0.001895, 14: 0.001898, 19: 0.003801, 23: 0.001898, 28: 0.001899): 0.003863): 0.009759, (18: 0.003792, 1: 0.000004): 0.001801): 0.009920, 16: 0.011030): 0.073811): 0.043299);
(C208: 0.018719, C213: 0.019803, (((((C270: 0.006026, (C280: 0.005647, C73: 0.003748, C72: 0.005660): 0.003428): 0.001991, (C112: 0.020765, (((C246: 0.007651, C258: 0.005709): 0.008023, C223: 0.017465): 0.001741, (C230: 0.001973, C122: 0.017204): 0.002066): 0.005803): 0.003857): 0.009379, C53: 0.040021): 0.008961, (C217: 0.011504, C130: 0.003813): 0.003012): 0.039487, (((C50: 0.001852, (C38: 0.000004, (C287: 0.001893, C136: 0.000004): 0.003796, C44: 0.001897, (C151: 0.000004, (C77: 0.000004, C79: 0.000004): 0.005682): 0.001895, C30: 0.001898, C131: 0.003801, C31: 0.001898, C84: 0.001899): 0.003863): 0.009759, (C199: 0.003792, C182: 0.000004): 0.001801): 0.009920, C174: 0.011030): 0.073811): 0.043299);
Detailed output identifying parameters
kappa (ts/tv) = 6.50471
MLEs of dN/dS (w) for site classes (K=3)
p: 0.92348 0.07293 0.00359
w: 0.07522 1.00000 11.27494
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.019 1517.3 297.7 0.1829 0.0036 0.0197 5.5 5.9
31..3 0.020 1517.3 297.7 0.1829 0.0038 0.0208 5.8 6.2
31..32 0.043 1517.3 297.7 0.1829 0.0083 0.0455 12.6 13.6
32..33 0.039 1517.3 297.7 0.1829 0.0076 0.0415 11.5 12.4
33..34 0.009 1517.3 297.7 0.1829 0.0017 0.0094 2.6 2.8
34..35 0.009 1517.3 297.7 0.1829 0.0018 0.0099 2.7 2.9
35..36 0.002 1517.3 297.7 0.1829 0.0004 0.0021 0.6 0.6
36..11 0.006 1517.3 297.7 0.1829 0.0012 0.0063 1.8 1.9
36..37 0.003 1517.3 297.7 0.1829 0.0007 0.0036 1.0 1.1
37..21 0.006 1517.3 297.7 0.1829 0.0011 0.0059 1.6 1.8
37..30 0.004 1517.3 297.7 0.1829 0.0007 0.0039 1.1 1.2
37..25 0.006 1517.3 297.7 0.1829 0.0011 0.0060 1.7 1.8
35..38 0.004 1517.3 297.7 0.1829 0.0007 0.0041 1.1 1.2
38..17 0.021 1517.3 297.7 0.1829 0.0040 0.0218 6.1 6.5
38..39 0.006 1517.3 297.7 0.1829 0.0011 0.0061 1.7 1.8
39..40 0.002 1517.3 297.7 0.1829 0.0003 0.0018 0.5 0.5
40..41 0.008 1517.3 297.7 0.1829 0.0015 0.0084 2.3 2.5
41..22 0.008 1517.3 297.7 0.1829 0.0015 0.0080 2.2 2.4
41..10 0.006 1517.3 297.7 0.1829 0.0011 0.0060 1.7 1.8
40..5 0.017 1517.3 297.7 0.1829 0.0034 0.0184 5.1 5.5
39..42 0.002 1517.3 297.7 0.1829 0.0004 0.0022 0.6 0.6
42..7 0.002 1517.3 297.7 0.1829 0.0004 0.0021 0.6 0.6
42..15 0.017 1517.3 297.7 0.1829 0.0033 0.0181 5.0 5.4
34..26 0.040 1517.3 297.7 0.1829 0.0077 0.0421 11.7 12.5
33..43 0.003 1517.3 297.7 0.1829 0.0006 0.0032 0.9 0.9
43..2 0.012 1517.3 297.7 0.1829 0.0022 0.0121 3.4 3.6
43..20 0.004 1517.3 297.7 0.1829 0.0007 0.0040 1.1 1.2
32..44 0.074 1517.3 297.7 0.1829 0.0142 0.0776 21.5 23.1
44..45 0.010 1517.3 297.7 0.1829 0.0019 0.0104 2.9 3.1
45..46 0.010 1517.3 297.7 0.1829 0.0019 0.0103 2.8 3.1
46..13 0.002 1517.3 297.7 0.1829 0.0004 0.0019 0.5 0.6
46..47 0.004 1517.3 297.7 0.1829 0.0007 0.0041 1.1 1.2
47..27 0.000 1517.3 297.7 0.1829 0.0000 0.0000 0.0 0.0
47..48 0.004 1517.3 297.7 0.1829 0.0007 0.0040 1.1 1.2
48..4 0.002 1517.3 297.7 0.1829 0.0004 0.0020 0.6 0.6
48..24 0.000 1517.3 297.7 0.1829 0.0000 0.0000 0.0 0.0
47..8 0.002 1517.3 297.7 0.1829 0.0004 0.0020 0.6 0.6
47..49 0.002 1517.3 297.7 0.1829 0.0004 0.0020 0.6 0.6
49..6 0.000 1517.3 297.7 0.1829 0.0000 0.0000 0.0 0.0
49..50 0.006 1517.3 297.7 0.1829 0.0011 0.0060 1.7 1.8
50..9 0.000 1517.3 297.7 0.1829 0.0000 0.0000 0.0 0.0
50..29 0.000 1517.3 297.7 0.1829 0.0000 0.0000 0.0 0.0
47..14 0.002 1517.3 297.7 0.1829 0.0004 0.0020 0.6 0.6
47..19 0.004 1517.3 297.7 0.1829 0.0007 0.0040 1.1 1.2
47..23 0.002 1517.3 297.7 0.1829 0.0004 0.0020 0.6 0.6
47..28 0.002 1517.3 297.7 0.1829 0.0004 0.0020 0.6 0.6
45..51 0.002 1517.3 297.7 0.1829 0.0003 0.0019 0.5 0.6
51..18 0.004 1517.3 297.7 0.1829 0.0007 0.0040 1.1 1.2
51..1 0.000 1517.3 297.7 0.1829 0.0000 0.0000 0.0 0.0
44..16 0.011 1517.3 297.7 0.1829 0.0021 0.0116 3.2 3.5
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C182)
Pr(w>1) post mean +- SE for w
150 S 0.966* 10.922
526 A 0.864 9.872
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: C182)
Pr(w>1) post mean +- SE for w
45 L 0.638 1.517 +- 0.587
49 I 0.685 1.560 +- 0.586
134 D 0.570 1.439 +- 0.554
150 S 0.839 1.715 +- 0.638
176 V 0.725 1.616 +- 0.634
353 Q 0.637 1.512 +- 0.665
362 L 0.556 1.401 +- 0.647
526 A 0.780 1.672 +- 0.651
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: 0.999 0.001 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
w2: 0.734 0.234 0.027 0.004 0.001 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 0.052
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 0.192 0.755
sum of density on p0-p1 = 1.000000
Time used: 22:57
Model 7: beta (10 categories)
TREE # 1: (12, 3, (((((11, (21, 30, 25)), (17, (((22, 10), 5), (7, 15)))), 26), (2, 20)), (((13, (27, (4, 24), 8, (6, (9, 29)), 14, 19, 23, 28)), (18, 1)), 16))); MP score: 226
lnL(ntime: 50 np: 53): -3846.874481 +0.000000
31..12 31..3 31..32 32..33 33..34 34..35 35..36 36..11 36..37 37..21 37..30 37..25 35..38 38..17 38..39 39..40 40..41 41..22 41..10 40..5 39..42 42..7 42..15 34..26 33..43 43..2 43..20 32..44 44..45 45..46 46..13 46..47 47..27 47..48 48..4 48..24 47..8 47..49 49..6 49..50 50..9 50..29 47..14 47..19 47..23 47..28 45..51 51..18 51..1 44..16
0.017336 0.018415 0.039858 0.036820 0.008194 0.008736 0.001847 0.005625 0.003195 0.005272 0.003496 0.005274 0.003523 0.019231 0.005498 0.001619 0.007470 0.007120 0.005314 0.016228 0.001915 0.001836 0.016031 0.037364 0.002948 0.010703 0.003540 0.068966 0.009358 0.009085 0.001737 0.003587 0.000004 0.003539 0.001766 0.000004 0.001767 0.001765 0.000004 0.005294 0.000004 0.000004 0.001769 0.003541 0.001768 0.001769 0.001677 0.003536 0.000004 0.010393 6.366179 0.151656 0.821753
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.425750
(12: 0.017336, 3: 0.018415, (((((11: 0.005625, (21: 0.005272, 30: 0.003496, 25: 0.005274): 0.003195): 0.001847, (17: 0.019231, (((22: 0.007120, 10: 0.005314): 0.007470, 5: 0.016228): 0.001619, (7: 0.001836, 15: 0.016031): 0.001915): 0.005498): 0.003523): 0.008736, 26: 0.037364): 0.008194, (2: 0.010703, 20: 0.003540): 0.002948): 0.036820, (((13: 0.001737, (27: 0.000004, (4: 0.001766, 24: 0.000004): 0.003539, 8: 0.001767, (6: 0.000004, (9: 0.000004, 29: 0.000004): 0.005294): 0.001765, 14: 0.001769, 19: 0.003541, 23: 0.001768, 28: 0.001769): 0.003587): 0.009085, (18: 0.003536, 1: 0.000004): 0.001677): 0.009358, 16: 0.010393): 0.068966): 0.039858);
(C208: 0.017336, C213: 0.018415, (((((C270: 0.005625, (C280: 0.005272, C73: 0.003496, C72: 0.005274): 0.003195): 0.001847, (C112: 0.019231, (((C246: 0.007120, C258: 0.005314): 0.007470, C223: 0.016228): 0.001619, (C230: 0.001836, C122: 0.016031): 0.001915): 0.005498): 0.003523): 0.008736, C53: 0.037364): 0.008194, (C217: 0.010703, C130: 0.003540): 0.002948): 0.036820, (((C50: 0.001737, (C38: 0.000004, (C287: 0.001766, C136: 0.000004): 0.003539, C44: 0.001767, (C151: 0.000004, (C77: 0.000004, C79: 0.000004): 0.005294): 0.001765, C30: 0.001769, C131: 0.003541, C31: 0.001768, C84: 0.001769): 0.003587): 0.009085, (C199: 0.003536, C182: 0.000004): 0.001677): 0.009358, C174: 0.010393): 0.068966): 0.039858);
Detailed output identifying parameters
kappa (ts/tv) = 6.36618
Parameters in M7 (beta):
p = 0.15166 q = 0.82175
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 0.00014 0.00133 0.00698 0.02614 0.07800 0.19642 0.42860 0.80459
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.017 1517.7 297.3 0.1542 0.0030 0.0197 4.6 5.9
31..3 0.018 1517.7 297.3 0.1542 0.0032 0.0210 4.9 6.2
31..32 0.040 1517.7 297.3 0.1542 0.0070 0.0454 10.6 13.5
32..33 0.037 1517.7 297.3 0.1542 0.0065 0.0419 9.8 12.5
33..34 0.008 1517.7 297.3 0.1542 0.0014 0.0093 2.2 2.8
34..35 0.009 1517.7 297.3 0.1542 0.0015 0.0099 2.3 3.0
35..36 0.002 1517.7 297.3 0.1542 0.0003 0.0021 0.5 0.6
36..11 0.006 1517.7 297.3 0.1542 0.0010 0.0064 1.5 1.9
36..37 0.003 1517.7 297.3 0.1542 0.0006 0.0036 0.9 1.1
37..21 0.005 1517.7 297.3 0.1542 0.0009 0.0060 1.4 1.8
37..30 0.003 1517.7 297.3 0.1542 0.0006 0.0040 0.9 1.2
37..25 0.005 1517.7 297.3 0.1542 0.0009 0.0060 1.4 1.8
35..38 0.004 1517.7 297.3 0.1542 0.0006 0.0040 0.9 1.2
38..17 0.019 1517.7 297.3 0.1542 0.0034 0.0219 5.1 6.5
38..39 0.005 1517.7 297.3 0.1542 0.0010 0.0063 1.5 1.9
39..40 0.002 1517.7 297.3 0.1542 0.0003 0.0018 0.4 0.5
40..41 0.007 1517.7 297.3 0.1542 0.0013 0.0085 2.0 2.5
41..22 0.007 1517.7 297.3 0.1542 0.0013 0.0081 1.9 2.4
41..10 0.005 1517.7 297.3 0.1542 0.0009 0.0061 1.4 1.8
40..5 0.016 1517.7 297.3 0.1542 0.0028 0.0185 4.3 5.5
39..42 0.002 1517.7 297.3 0.1542 0.0003 0.0022 0.5 0.6
42..7 0.002 1517.7 297.3 0.1542 0.0003 0.0021 0.5 0.6
42..15 0.016 1517.7 297.3 0.1542 0.0028 0.0183 4.3 5.4
34..26 0.037 1517.7 297.3 0.1542 0.0066 0.0425 10.0 12.6
33..43 0.003 1517.7 297.3 0.1542 0.0005 0.0034 0.8 1.0
43..2 0.011 1517.7 297.3 0.1542 0.0019 0.0122 2.9 3.6
43..20 0.004 1517.7 297.3 0.1542 0.0006 0.0040 0.9 1.2
32..44 0.069 1517.7 297.3 0.1542 0.0121 0.0785 18.4 23.3
44..45 0.009 1517.7 297.3 0.1542 0.0016 0.0107 2.5 3.2
45..46 0.009 1517.7 297.3 0.1542 0.0016 0.0103 2.4 3.1
46..13 0.002 1517.7 297.3 0.1542 0.0003 0.0020 0.5 0.6
46..47 0.004 1517.7 297.3 0.1542 0.0006 0.0041 1.0 1.2
47..27 0.000 1517.7 297.3 0.1542 0.0000 0.0000 0.0 0.0
47..48 0.004 1517.7 297.3 0.1542 0.0006 0.0040 0.9 1.2
48..4 0.002 1517.7 297.3 0.1542 0.0003 0.0020 0.5 0.6
48..24 0.000 1517.7 297.3 0.1542 0.0000 0.0000 0.0 0.0
47..8 0.002 1517.7 297.3 0.1542 0.0003 0.0020 0.5 0.6
47..49 0.002 1517.7 297.3 0.1542 0.0003 0.0020 0.5 0.6
49..6 0.000 1517.7 297.3 0.1542 0.0000 0.0000 0.0 0.0
49..50 0.005 1517.7 297.3 0.1542 0.0009 0.0060 1.4 1.8
50..9 0.000 1517.7 297.3 0.1542 0.0000 0.0000 0.0 0.0
50..29 0.000 1517.7 297.3 0.1542 0.0000 0.0000 0.0 0.0
47..14 0.002 1517.7 297.3 0.1542 0.0003 0.0020 0.5 0.6
47..19 0.004 1517.7 297.3 0.1542 0.0006 0.0040 0.9 1.2
47..23 0.002 1517.7 297.3 0.1542 0.0003 0.0020 0.5 0.6
47..28 0.002 1517.7 297.3 0.1542 0.0003 0.0020 0.5 0.6
45..51 0.002 1517.7 297.3 0.1542 0.0003 0.0019 0.4 0.6
51..18 0.004 1517.7 297.3 0.1542 0.0006 0.0040 0.9 1.2
51..1 0.000 1517.7 297.3 0.1542 0.0000 0.0000 0.0 0.0
44..16 0.010 1517.7 297.3 0.1542 0.0018 0.0118 2.8 3.5
Time used: 1:01:43
Model 8: beta&w>1 (11 categories)
TREE # 1: (12, 3, (((((11, (21, 30, 25)), (17, (((22, 10), 5), (7, 15)))), 26), (2, 20)), (((13, (27, (4, 24), 8, (6, (9, 29)), 14, 19, 23, 28)), (18, 1)), 16))); MP score: 226
check convergence..
lnL(ntime: 50 np: 55): -3842.368970 +0.000000
31..12 31..3 31..32 32..33 33..34 34..35 35..36 36..11 36..37 37..21 37..30 37..25 35..38 38..17 38..39 39..40 40..41 41..22 41..10 40..5 39..42 42..7 42..15 34..26 33..43 43..2 43..20 32..44 44..45 45..46 46..13 46..47 47..27 47..48 48..4 48..24 47..8 47..49 49..6 49..50 50..9 50..29 47..14 47..19 47..23 47..28 45..51 51..18 51..1 44..16
0.018791 0.019722 0.043212 0.039409 0.008895 0.009370 0.001976 0.006016 0.003425 0.005641 0.003743 0.005643 0.003899 0.020702 0.005749 0.001736 0.008017 0.007630 0.005694 0.017389 0.002052 0.001979 0.017163 0.039998 0.003034 0.011470 0.003803 0.073817 0.010006 0.009740 0.001874 0.003840 0.000004 0.003795 0.001892 0.000004 0.001896 0.001895 0.000004 0.005681 0.000004 0.000004 0.001898 0.003801 0.001898 0.001899 0.001801 0.003794 0.000004 0.010929 6.483161 0.996070 0.224071 1.332172 10.717701
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.456638
(12: 0.018791, 3: 0.019722, (((((11: 0.006016, (21: 0.005641, 30: 0.003743, 25: 0.005643): 0.003425): 0.001976, (17: 0.020702, (((22: 0.007630, 10: 0.005694): 0.008017, 5: 0.017389): 0.001736, (7: 0.001979, 15: 0.017163): 0.002052): 0.005749): 0.003899): 0.009370, 26: 0.039998): 0.008895, (2: 0.011470, 20: 0.003803): 0.003034): 0.039409, (((13: 0.001874, (27: 0.000004, (4: 0.001892, 24: 0.000004): 0.003795, 8: 0.001896, (6: 0.000004, (9: 0.000004, 29: 0.000004): 0.005681): 0.001895, 14: 0.001898, 19: 0.003801, 23: 0.001898, 28: 0.001899): 0.003840): 0.009740, (18: 0.003794, 1: 0.000004): 0.001801): 0.010006, 16: 0.010929): 0.073817): 0.043212);
(C208: 0.018791, C213: 0.019722, (((((C270: 0.006016, (C280: 0.005641, C73: 0.003743, C72: 0.005643): 0.003425): 0.001976, (C112: 0.020702, (((C246: 0.007630, C258: 0.005694): 0.008017, C223: 0.017389): 0.001736, (C230: 0.001979, C122: 0.017163): 0.002052): 0.005749): 0.003899): 0.009370, C53: 0.039998): 0.008895, (C217: 0.011470, C130: 0.003803): 0.003034): 0.039409, (((C50: 0.001874, (C38: 0.000004, (C287: 0.001892, C136: 0.000004): 0.003795, C44: 0.001896, (C151: 0.000004, (C77: 0.000004, C79: 0.000004): 0.005681): 0.001895, C30: 0.001898, C131: 0.003801, C31: 0.001898, C84: 0.001899): 0.003840): 0.009740, (C199: 0.003794, C182: 0.000004): 0.001801): 0.010006, C174: 0.010929): 0.073817): 0.043212);
Detailed output identifying parameters
kappa (ts/tv) = 6.48316
Parameters in M8 (beta&w>1):
p0 = 0.99607 p = 0.22407 q = 1.33217
(p1 = 0.00393) w = 10.71770
MLEs of dN/dS (w) for site classes (K=11)
p: 0.09961 0.09961 0.09961 0.09961 0.09961 0.09961 0.09961 0.09961 0.09961 0.09961 0.00393
w: 0.00000 0.00014 0.00139 0.00625 0.01926 0.04752 0.10169 0.19806 0.36466 0.66877 10.71770
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.019 1517.4 297.6 0.1823 0.0036 0.0198 5.5 5.9
31..3 0.020 1517.4 297.6 0.1823 0.0038 0.0208 5.7 6.2
31..32 0.043 1517.4 297.6 0.1823 0.0083 0.0455 12.6 13.5
32..33 0.039 1517.4 297.6 0.1823 0.0076 0.0415 11.5 12.4
33..34 0.009 1517.4 297.6 0.1823 0.0017 0.0094 2.6 2.8
34..35 0.009 1517.4 297.6 0.1823 0.0018 0.0099 2.7 2.9
35..36 0.002 1517.4 297.6 0.1823 0.0004 0.0021 0.6 0.6
36..11 0.006 1517.4 297.6 0.1823 0.0012 0.0063 1.8 1.9
36..37 0.003 1517.4 297.6 0.1823 0.0007 0.0036 1.0 1.1
37..21 0.006 1517.4 297.6 0.1823 0.0011 0.0059 1.6 1.8
37..30 0.004 1517.4 297.6 0.1823 0.0007 0.0039 1.1 1.2
37..25 0.006 1517.4 297.6 0.1823 0.0011 0.0059 1.6 1.8
35..38 0.004 1517.4 297.6 0.1823 0.0007 0.0041 1.1 1.2
38..17 0.021 1517.4 297.6 0.1823 0.0040 0.0218 6.0 6.5
38..39 0.006 1517.4 297.6 0.1823 0.0011 0.0061 1.7 1.8
39..40 0.002 1517.4 297.6 0.1823 0.0003 0.0018 0.5 0.5
40..41 0.008 1517.4 297.6 0.1823 0.0015 0.0084 2.3 2.5
41..22 0.008 1517.4 297.6 0.1823 0.0015 0.0080 2.2 2.4
41..10 0.006 1517.4 297.6 0.1823 0.0011 0.0060 1.7 1.8
40..5 0.017 1517.4 297.6 0.1823 0.0033 0.0183 5.1 5.5
39..42 0.002 1517.4 297.6 0.1823 0.0004 0.0022 0.6 0.6
42..7 0.002 1517.4 297.6 0.1823 0.0004 0.0021 0.6 0.6
42..15 0.017 1517.4 297.6 0.1823 0.0033 0.0181 5.0 5.4
34..26 0.040 1517.4 297.6 0.1823 0.0077 0.0421 11.7 12.5
33..43 0.003 1517.4 297.6 0.1823 0.0006 0.0032 0.9 1.0
43..2 0.011 1517.4 297.6 0.1823 0.0022 0.0121 3.3 3.6
43..20 0.004 1517.4 297.6 0.1823 0.0007 0.0040 1.1 1.2
32..44 0.074 1517.4 297.6 0.1823 0.0142 0.0778 21.5 23.1
44..45 0.010 1517.4 297.6 0.1823 0.0019 0.0105 2.9 3.1
45..46 0.010 1517.4 297.6 0.1823 0.0019 0.0103 2.8 3.1
46..13 0.002 1517.4 297.6 0.1823 0.0004 0.0020 0.5 0.6
46..47 0.004 1517.4 297.6 0.1823 0.0007 0.0040 1.1 1.2
47..27 0.000 1517.4 297.6 0.1823 0.0000 0.0000 0.0 0.0
47..48 0.004 1517.4 297.6 0.1823 0.0007 0.0040 1.1 1.2
48..4 0.002 1517.4 297.6 0.1823 0.0004 0.0020 0.6 0.6
48..24 0.000 1517.4 297.6 0.1823 0.0000 0.0000 0.0 0.0
47..8 0.002 1517.4 297.6 0.1823 0.0004 0.0020 0.6 0.6
47..49 0.002 1517.4 297.6 0.1823 0.0004 0.0020 0.6 0.6
49..6 0.000 1517.4 297.6 0.1823 0.0000 0.0000 0.0 0.0
49..50 0.006 1517.4 297.6 0.1823 0.0011 0.0060 1.7 1.8
50..9 0.000 1517.4 297.6 0.1823 0.0000 0.0000 0.0 0.0
50..29 0.000 1517.4 297.6 0.1823 0.0000 0.0000 0.0 0.0
47..14 0.002 1517.4 297.6 0.1823 0.0004 0.0020 0.6 0.6
47..19 0.004 1517.4 297.6 0.1823 0.0007 0.0040 1.1 1.2
47..23 0.002 1517.4 297.6 0.1823 0.0004 0.0020 0.6 0.6
47..28 0.002 1517.4 297.6 0.1823 0.0004 0.0020 0.6 0.6
45..51 0.002 1517.4 297.6 0.1823 0.0003 0.0019 0.5 0.6
51..18 0.004 1517.4 297.6 0.1823 0.0007 0.0040 1.1 1.2
51..1 0.000 1517.4 297.6 0.1823 0.0000 0.0000 0.0 0.0
44..16 0.011 1517.4 297.6 0.1823 0.0021 0.0115 3.2 3.4
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C182)
Pr(w>1) post mean +- SE for w
150 S 0.989* 10.605
526 A 0.927 9.982
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: C182)
Pr(w>1) post mean +- SE for w
45 L 0.800 1.442 +- 0.537
49 I 0.872 1.523 +- 0.477
115 H 0.513 1.054 +- 0.656
134 D 0.727 1.354 +- 0.568
150 S 0.955* 1.606 +- 0.412
176 V 0.871 1.522 +- 0.493
353 Q 0.741 1.364 +- 0.611
362 L 0.646 1.240 +- 0.649
526 A 0.911 1.564 +- 0.460
530 P 0.556 1.114 +- 0.657
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 : 0.999 0.001 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
q : 0.000 0.000 0.000 0.002 0.027 0.097 0.177 0.227 0.240 0.230
ws: 0.864 0.130 0.005 0.000 0.000 0.000 0.000 0.000 0.000 0.000
Time used: 1:55:20
Model 1: NearlyNeutral -3844.809145
Model 2: PositiveSelection -3841.537851
Model 7: beta -3846.874481
Model 8: beta&w>1 -3842.368970
Model 2 vs 1 6.542588
Additional information for M1 vs M2:
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C182)
Pr(w>1) post mean +- SE for w
150 S 0.966* 10.922
526 A 0.864 9.872
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: C182)
Pr(w>1) post mean +- SE for w
45 L 0.638 1.517 +- 0.587
49 I 0.685 1.560 +- 0.586
134 D 0.570 1.439 +- 0.554
150 S 0.839 1.715 +- 0.638
176 V 0.725 1.616 +- 0.634
353 Q 0.637 1.512 +- 0.665
362 L 0.556 1.401 +- 0.647
526 A 0.780 1.672 +- 0.651
Model 8 vs 7 9.011022
Additional information for M7 vs M8:
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C182)
Pr(w>1) post mean +- SE for w
150 S 0.989* 10.605
526 A 0.927 9.982
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: C182)
Pr(w>1) post mean +- SE for w
45 L 0.800 1.442 +- 0.537
49 I 0.872 1.523 +- 0.477
115 H 0.513 1.054 +- 0.656
134 D 0.727 1.354 +- 0.568
150 S 0.955* 1.606 +- 0.412
176 V 0.871 1.522 +- 0.493
353 Q 0.741 1.364 +- 0.611
362 L 0.646 1.240 +- 0.649
526 A 0.911 1.564 +- 0.460
530 P 0.556 1.114 +- 0.657
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
