--- 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 -3616.77 -3646.86
2 -3615.30 -3648.16
--------------------------------------
TOTAL -3615.78 -3647.71
--------------------------------------
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} 0.331660 0.000707 0.280544 0.383553 0.330312 1159.59 1256.49 1.000
r(A<->C){all} 0.075708 0.000363 0.042060 0.115061 0.074120 873.99 875.86 1.000
r(A<->G){all} 0.161260 0.000600 0.111928 0.207197 0.159925 766.34 857.04 1.000
r(A<->T){all} 0.066380 0.000154 0.042655 0.090581 0.065839 928.26 1045.31 1.000
r(C<->G){all} 0.067315 0.000452 0.027251 0.107719 0.065021 692.79 810.31 1.000
r(C<->T){all} 0.519392 0.001192 0.453482 0.587695 0.519718 681.19 704.68 1.000
r(G<->T){all} 0.109944 0.000300 0.075200 0.142639 0.108983 858.05 931.65 1.000
pi(A){all} 0.251118 0.000134 0.229547 0.274709 0.251095 1086.45 1124.60 1.000
pi(C){all} 0.168942 0.000086 0.151095 0.187086 0.168834 1224.40 1262.69 1.000
pi(G){all} 0.185162 0.000108 0.166276 0.207518 0.184713 1103.37 1110.16 1.000
pi(T){all} 0.394778 0.000157 0.369801 0.419085 0.394900 984.53 1148.67 1.000
alpha{1,2} 0.433812 0.038603 0.157430 0.821633 0.387711 1002.14 1046.42 1.000
alpha{3} 1.717336 0.950467 0.454146 3.730477 1.479418 920.60 936.48 1.000
pinvar{all} 0.300085 0.013086 0.061682 0.500544 0.311536 689.57 749.35 1.001
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
--- CODEML SUMMARY
Model 1: NearlyNeutral -3473.016663
Model 2: PositiveSelection -3473.016663
Model 7: beta -3473.996454
Model 8: beta&w>1 -3471.703097
Model 2 vs 1 0
Model 8 vs 7 4.586714
-- Starting log on Fri Nov 18 14:39:14 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10632_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Fri Nov 18 14:40:53 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10632_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Fri Nov 18 21:13:15 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10632_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/gapped_alignment/codeml,DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10632_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 1284 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C232
Taxon 2 -> C28
Taxon 3 -> C77
Taxon 4 -> C165
Taxon 5 -> C253
Taxon 6 -> C291
Taxon 7 -> C40
Taxon 8 -> C19
Taxon 9 -> C22
Taxon 10 -> C54
Taxon 11 -> C143
Taxon 12 -> C205
Taxon 13 -> C124
Taxon 14 -> C102
Taxon 15 -> C137
Taxon 16 -> C144
Taxon 17 -> C27
Taxon 18 -> C35
Taxon 19 -> C158
Taxon 20 -> C192
Taxon 21 -> C200
Taxon 22 -> C212
Taxon 23 -> C237
Taxon 24 -> C242
Taxon 25 -> C254
Taxon 26 -> C258
Taxon 27 -> C263
Taxon 28 -> C37
Taxon 29 -> C83
Taxon 30 -> C142
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1668805997
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) = 2053260674
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 = 6606726680
Seed = 1156508751
Swapseed = 1668805997
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 58 unique site patterns
Division 2 has 45 unique site patterns
Division 3 has 90 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 -- -7086.483289 -- 82.122948
Chain 2 -- -6991.685385 -- 82.122948
Chain 3 -- -7330.252645 -- 82.122948
Chain 4 -- -6841.990097 -- 82.122948
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -7278.940793 -- 82.122948
Chain 2 -- -7640.234183 -- 82.122948
Chain 3 -- -6984.337761 -- 82.122948
Chain 4 -- -7124.324175 -- 82.122948
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-7086.483] (-6991.685) (-7330.253) (-6841.990) * [-7278.941] (-7640.234) (-6984.338) (-7124.324)
1000 -- (-4003.617) [-3741.866] (-4144.115) (-4044.173) * [-3772.996] (-3802.529) (-3942.417) (-3852.080) -- 0:16:39
2000 -- (-3725.891) (-3657.038) [-3671.770] (-3761.139) * [-3644.583] (-3667.747) (-3705.132) (-3701.657) -- 0:16:38
3000 -- (-3660.735) [-3639.685] (-3645.950) (-3683.035) * [-3628.634] (-3659.248) (-3642.366) (-3642.711) -- 0:16:37
4000 -- (-3635.808) [-3627.737] (-3638.637) (-3651.429) * [-3624.459] (-3638.889) (-3648.051) (-3634.600) -- 0:20:45
5000 -- (-3634.522) [-3645.834] (-3630.365) (-3645.402) * [-3626.359] (-3667.313) (-3631.065) (-3638.145) -- 0:19:54
Average standard deviation of split frequencies: 0.099995
6000 -- (-3631.909) (-3642.536) (-3646.864) [-3634.378] * (-3625.669) (-3641.542) [-3623.567] (-3631.560) -- 0:19:19
7000 -- [-3620.522] (-3628.913) (-3632.499) (-3658.577) * [-3631.138] (-3644.315) (-3627.953) (-3636.870) -- 0:18:54
8000 -- (-3632.857) (-3618.211) [-3643.470] (-3671.388) * [-3623.491] (-3639.967) (-3648.683) (-3635.004) -- 0:18:36
9000 -- [-3620.809] (-3632.539) (-3635.676) (-3625.896) * [-3629.748] (-3632.926) (-3649.593) (-3630.639) -- 0:20:11
10000 -- [-3625.764] (-3632.175) (-3628.339) (-3630.482) * [-3627.012] (-3646.318) (-3637.773) (-3627.238) -- 0:19:48
Average standard deviation of split frequencies: 0.065529
11000 -- [-3626.905] (-3651.185) (-3629.767) (-3644.981) * (-3631.341) (-3635.386) [-3626.515] (-3632.664) -- 0:19:28
12000 -- (-3629.029) (-3625.113) [-3621.964] (-3635.209) * (-3636.887) (-3638.109) (-3639.606) [-3626.671] -- 0:19:12
13000 -- (-3641.825) (-3632.189) (-3641.204) [-3617.610] * (-3625.428) [-3635.440] (-3656.756) (-3646.159) -- 0:18:58
14000 -- (-3644.429) (-3650.951) (-3630.180) [-3635.119] * [-3636.607] (-3633.163) (-3637.466) (-3636.025) -- 0:19:57
15000 -- (-3625.242) (-3640.207) (-3661.355) [-3628.025] * (-3647.960) (-3629.952) (-3632.183) [-3627.537] -- 0:19:42
Average standard deviation of split frequencies: 0.055769
16000 -- [-3621.853] (-3635.545) (-3652.386) (-3640.468) * (-3638.796) [-3625.877] (-3651.839) (-3647.518) -- 0:19:28
17000 -- [-3626.129] (-3633.883) (-3637.892) (-3643.711) * (-3636.273) (-3641.612) (-3637.496) [-3619.963] -- 0:19:16
18000 -- (-3646.086) (-3641.251) (-3639.436) [-3614.347] * [-3628.953] (-3643.314) (-3639.088) (-3635.800) -- 0:19:05
19000 -- (-3631.395) (-3638.648) [-3623.360] (-3628.976) * (-3627.546) [-3638.662] (-3638.121) (-3634.843) -- 0:18:55
20000 -- (-3647.077) (-3628.598) [-3631.369] (-3664.044) * (-3640.941) [-3619.944] (-3653.485) (-3627.982) -- 0:19:36
Average standard deviation of split frequencies: 0.039103
21000 -- [-3626.919] (-3636.687) (-3624.313) (-3640.385) * (-3636.877) (-3630.960) [-3636.960] (-3627.151) -- 0:19:25
22000 -- (-3626.350) (-3632.571) [-3629.533] (-3630.262) * (-3628.180) (-3625.069) [-3626.241] (-3633.339) -- 0:19:15
23000 -- [-3623.883] (-3635.784) (-3644.512) (-3636.950) * (-3646.297) [-3626.125] (-3633.025) (-3641.880) -- 0:19:06
24000 -- (-3630.020) (-3637.141) (-3627.498) [-3629.864] * (-3634.105) (-3630.056) [-3634.468] (-3629.642) -- 0:18:58
25000 -- [-3629.627] (-3650.627) (-3634.851) (-3622.932) * (-3622.602) (-3637.234) [-3632.762] (-3640.775) -- 0:19:30
Average standard deviation of split frequencies: 0.041701
26000 -- (-3628.020) (-3639.749) [-3624.740] (-3634.410) * (-3639.566) (-3645.046) [-3637.680] (-3634.942) -- 0:19:21
27000 -- [-3620.887] (-3637.336) (-3664.971) (-3632.307) * (-3658.956) (-3640.082) [-3632.123] (-3648.562) -- 0:19:13
28000 -- (-3636.905) [-3625.325] (-3639.324) (-3649.934) * (-3635.527) (-3633.275) (-3648.197) [-3631.035] -- 0:19:05
29000 -- (-3632.198) (-3631.699) [-3631.849] (-3628.368) * [-3628.147] (-3632.400) (-3640.486) (-3640.734) -- 0:18:58
30000 -- (-3630.732) [-3634.554] (-3632.691) (-3634.103) * (-3637.594) (-3642.432) [-3644.852] (-3645.135) -- 0:18:51
Average standard deviation of split frequencies: 0.038686
31000 -- (-3633.823) [-3632.864] (-3626.036) (-3644.122) * (-3632.754) (-3630.167) (-3631.598) [-3638.262] -- 0:19:16
32000 -- (-3639.057) [-3628.877] (-3635.903) (-3638.947) * (-3649.019) (-3639.944) (-3640.268) [-3626.473] -- 0:19:09
33000 -- (-3660.651) [-3625.688] (-3634.104) (-3642.718) * (-3644.913) [-3626.335] (-3645.350) (-3624.174) -- 0:19:02
34000 -- (-3628.069) (-3631.452) [-3629.420] (-3636.685) * (-3654.997) (-3640.016) [-3634.366] (-3627.144) -- 0:18:56
35000 -- [-3621.469] (-3640.552) (-3635.633) (-3651.352) * (-3628.564) (-3632.279) [-3628.771] (-3639.851) -- 0:18:50
Average standard deviation of split frequencies: 0.032300
36000 -- (-3630.100) (-3630.228) [-3634.824] (-3640.569) * (-3627.514) [-3635.853] (-3637.699) (-3661.329) -- 0:18:44
37000 -- (-3637.312) (-3625.451) [-3623.727] (-3639.213) * (-3630.256) [-3629.571] (-3636.539) (-3651.504) -- 0:19:05
38000 -- (-3639.868) (-3635.729) [-3627.478] (-3629.096) * (-3624.685) (-3625.218) (-3641.706) [-3640.193] -- 0:18:59
39000 -- [-3623.960] (-3643.900) (-3629.137) (-3640.430) * [-3623.313] (-3638.694) (-3642.810) (-3631.982) -- 0:18:53
40000 -- (-3629.165) (-3639.301) [-3633.727] (-3645.017) * (-3643.067) (-3638.522) [-3625.140] (-3624.686) -- 0:18:48
Average standard deviation of split frequencies: 0.032879
41000 -- (-3639.108) (-3639.203) [-3627.269] (-3629.975) * (-3636.695) (-3623.862) (-3638.319) [-3619.798] -- 0:18:42
42000 -- (-3640.625) (-3629.985) [-3631.520] (-3631.181) * (-3626.477) [-3626.675] (-3639.934) (-3628.167) -- 0:19:00
43000 -- (-3646.342) [-3631.328] (-3629.331) (-3636.868) * (-3625.508) (-3642.637) (-3641.786) [-3621.258] -- 0:18:55
44000 -- [-3629.974] (-3647.360) (-3621.454) (-3633.662) * (-3630.175) [-3628.093] (-3641.088) (-3640.411) -- 0:18:49
45000 -- [-3629.277] (-3652.204) (-3640.786) (-3628.073) * [-3621.980] (-3639.809) (-3632.732) (-3624.130) -- 0:18:44
Average standard deviation of split frequencies: 0.034160
46000 -- (-3634.667) (-3629.742) (-3638.965) [-3621.513] * (-3635.597) [-3621.780] (-3624.682) (-3642.532) -- 0:18:39
47000 -- [-3628.973] (-3636.614) (-3622.441) (-3652.977) * (-3625.300) (-3624.472) [-3626.627] (-3637.809) -- 0:18:35
48000 -- (-3657.224) (-3632.051) [-3626.390] (-3630.917) * (-3645.494) [-3621.617] (-3645.308) (-3647.915) -- 0:18:50
49000 -- (-3637.664) [-3628.141] (-3637.458) (-3632.695) * (-3630.320) [-3631.103] (-3635.812) (-3637.016) -- 0:18:45
50000 -- (-3640.720) [-3639.574] (-3627.774) (-3634.759) * [-3628.748] (-3621.869) (-3630.986) (-3649.374) -- 0:18:41
Average standard deviation of split frequencies: 0.029997
51000 -- (-3635.606) [-3636.713] (-3651.219) (-3623.715) * (-3664.199) (-3633.375) [-3616.281] (-3642.715) -- 0:18:36
52000 -- (-3633.324) [-3625.994] (-3633.637) (-3626.719) * (-3624.545) (-3631.339) (-3632.726) [-3624.473] -- 0:18:32
53000 -- (-3636.711) (-3640.541) (-3645.088) [-3636.243] * (-3635.057) (-3637.307) [-3628.560] (-3629.169) -- 0:18:27
54000 -- (-3637.020) (-3638.287) [-3620.448] (-3649.178) * (-3625.836) [-3635.818] (-3622.125) (-3630.184) -- 0:18:41
55000 -- (-3649.313) [-3640.028] (-3618.329) (-3641.177) * (-3634.247) [-3628.505] (-3626.512) (-3639.625) -- 0:18:36
Average standard deviation of split frequencies: 0.026415
56000 -- (-3644.203) [-3627.743] (-3632.762) (-3637.472) * (-3658.586) [-3633.320] (-3642.841) (-3630.685) -- 0:18:32
57000 -- (-3625.645) (-3620.496) [-3625.231] (-3637.320) * (-3631.867) [-3625.625] (-3635.310) (-3634.270) -- 0:18:28
58000 -- [-3622.679] (-3638.176) (-3637.018) (-3639.566) * (-3632.783) [-3631.307] (-3641.567) (-3633.851) -- 0:18:24
59000 -- [-3621.085] (-3630.539) (-3622.791) (-3653.693) * (-3634.344) [-3621.021] (-3636.921) (-3632.796) -- 0:18:20
60000 -- (-3633.156) (-3631.014) (-3637.438) [-3637.489] * (-3645.200) [-3639.083] (-3648.928) (-3631.740) -- 0:18:32
Average standard deviation of split frequencies: 0.025713
61000 -- (-3647.428) [-3633.934] (-3631.029) (-3637.622) * (-3638.947) [-3629.814] (-3630.303) (-3645.277) -- 0:18:28
62000 -- [-3632.122] (-3655.962) (-3635.861) (-3632.044) * (-3628.257) (-3630.902) [-3630.507] (-3633.746) -- 0:18:24
63000 -- (-3622.320) (-3646.201) (-3636.254) [-3634.492] * (-3641.459) [-3618.740] (-3630.591) (-3634.181) -- 0:18:20
64000 -- [-3635.633] (-3636.557) (-3641.861) (-3637.881) * (-3636.260) (-3632.183) [-3624.932] (-3629.986) -- 0:18:16
65000 -- (-3633.772) (-3638.446) [-3629.516] (-3641.109) * (-3639.204) (-3620.898) [-3630.662] (-3631.316) -- 0:18:27
Average standard deviation of split frequencies: 0.023521
66000 -- (-3637.120) (-3636.255) (-3637.921) [-3629.363] * [-3631.050] (-3643.434) (-3629.601) (-3619.801) -- 0:18:23
67000 -- (-3637.426) (-3635.244) (-3636.103) [-3627.762] * [-3618.464] (-3627.821) (-3647.786) (-3643.086) -- 0:18:20
68000 -- (-3632.669) (-3632.011) (-3634.595) [-3627.301] * [-3629.212] (-3637.596) (-3628.429) (-3644.726) -- 0:18:16
69000 -- (-3650.887) (-3625.172) (-3637.491) [-3636.812] * [-3616.010] (-3651.163) (-3643.071) (-3652.117) -- 0:18:12
70000 -- (-3635.513) (-3622.527) (-3657.700) [-3636.891] * [-3619.598] (-3634.832) (-3635.447) (-3634.414) -- 0:18:09
Average standard deviation of split frequencies: 0.022952
71000 -- (-3627.247) [-3618.939] (-3640.231) (-3636.925) * [-3625.021] (-3632.828) (-3629.030) (-3645.259) -- 0:18:19
72000 -- (-3626.585) (-3625.108) (-3645.792) [-3636.493] * [-3630.881] (-3629.538) (-3639.228) (-3631.743) -- 0:18:15
73000 -- (-3648.029) [-3626.701] (-3641.977) (-3637.093) * (-3651.467) (-3631.017) [-3621.852] (-3633.334) -- 0:18:12
74000 -- (-3627.025) (-3638.887) [-3621.388] (-3626.040) * [-3629.079] (-3652.007) (-3628.706) (-3648.958) -- 0:18:08
75000 -- (-3632.567) [-3626.441] (-3643.023) (-3631.754) * [-3629.891] (-3648.855) (-3650.692) (-3625.897) -- 0:18:05
Average standard deviation of split frequencies: 0.022817
76000 -- [-3622.243] (-3627.289) (-3632.643) (-3633.041) * [-3632.017] (-3629.481) (-3644.468) (-3648.446) -- 0:18:14
77000 -- [-3628.948] (-3631.734) (-3638.967) (-3624.590) * (-3631.192) (-3646.346) [-3637.152] (-3659.523) -- 0:18:10
78000 -- (-3633.162) (-3636.784) [-3634.659] (-3636.024) * (-3627.920) (-3651.198) (-3663.862) [-3632.022] -- 0:18:07
79000 -- [-3622.473] (-3629.552) (-3635.270) (-3634.510) * (-3627.040) [-3627.186] (-3638.305) (-3643.804) -- 0:18:04
80000 -- [-3636.773] (-3648.642) (-3653.488) (-3617.434) * [-3636.765] (-3617.175) (-3635.856) (-3643.398) -- 0:18:01
Average standard deviation of split frequencies: 0.023683
81000 -- (-3630.038) (-3637.424) (-3635.562) [-3624.392] * (-3647.995) (-3635.438) [-3631.892] (-3636.384) -- 0:18:09
82000 -- [-3632.899] (-3622.074) (-3641.224) (-3641.987) * (-3629.774) [-3622.240] (-3631.369) (-3631.554) -- 0:18:05
83000 -- (-3626.382) (-3646.843) [-3626.795] (-3645.122) * [-3625.132] (-3630.215) (-3627.104) (-3643.505) -- 0:18:02
84000 -- (-3632.065) (-3627.864) [-3625.994] (-3637.261) * (-3628.708) (-3631.914) (-3642.936) [-3632.152] -- 0:17:59
85000 -- (-3628.878) (-3631.955) [-3633.834] (-3617.722) * (-3641.140) (-3628.076) (-3641.224) [-3636.109] -- 0:17:56
Average standard deviation of split frequencies: 0.022209
86000 -- (-3635.000) (-3632.895) (-3646.506) [-3622.227] * (-3633.885) (-3625.806) [-3626.433] (-3636.344) -- 0:18:04
87000 -- [-3637.605] (-3652.054) (-3629.662) (-3622.754) * (-3640.255) (-3624.821) [-3627.864] (-3635.096) -- 0:18:00
88000 -- [-3625.900] (-3634.542) (-3635.636) (-3637.501) * (-3627.944) (-3639.719) [-3639.415] (-3644.346) -- 0:17:57
89000 -- (-3631.621) [-3629.951] (-3644.718) (-3635.921) * [-3621.066] (-3653.435) (-3622.021) (-3634.117) -- 0:17:54
90000 -- [-3630.054] (-3639.082) (-3632.654) (-3647.028) * (-3630.508) (-3640.156) [-3617.024] (-3623.991) -- 0:17:51
Average standard deviation of split frequencies: 0.022232
91000 -- [-3617.686] (-3650.215) (-3623.597) (-3645.026) * [-3625.092] (-3632.520) (-3622.851) (-3637.442) -- 0:17:48
92000 -- [-3623.347] (-3642.643) (-3632.930) (-3633.630) * (-3632.427) (-3637.147) (-3620.391) [-3622.824] -- 0:17:55
93000 -- (-3616.460) (-3646.893) (-3632.476) [-3631.142] * (-3635.162) (-3650.162) (-3644.122) [-3621.042] -- 0:17:52
94000 -- [-3619.017] (-3640.186) (-3631.913) (-3636.124) * (-3630.161) (-3635.602) [-3631.608] (-3632.994) -- 0:17:49
95000 -- (-3638.763) (-3644.295) (-3623.303) [-3626.062] * (-3627.348) [-3627.347] (-3626.879) (-3643.269) -- 0:17:46
Average standard deviation of split frequencies: 0.021968
96000 -- (-3638.325) (-3649.402) [-3627.791] (-3648.928) * (-3638.404) (-3620.402) (-3622.667) [-3632.180] -- 0:17:44
97000 -- (-3638.036) (-3643.121) (-3629.005) [-3634.874] * (-3642.240) [-3627.623] (-3632.132) (-3666.266) -- 0:17:50
98000 -- (-3634.402) (-3644.223) (-3634.078) [-3631.572] * (-3626.863) (-3632.696) [-3625.068] (-3628.787) -- 0:17:47
99000 -- (-3636.891) (-3629.342) [-3631.369] (-3629.936) * [-3631.984] (-3629.912) (-3639.504) (-3625.640) -- 0:17:44
100000 -- (-3630.017) [-3629.494] (-3621.629) (-3621.865) * (-3638.878) (-3637.407) (-3644.880) [-3629.162] -- 0:17:42
Average standard deviation of split frequencies: 0.020905
101000 -- [-3628.500] (-3625.539) (-3630.003) (-3638.014) * (-3650.683) [-3634.865] (-3625.980) (-3626.177) -- 0:17:39
102000 -- (-3641.461) [-3622.172] (-3634.753) (-3639.262) * (-3646.448) (-3641.705) (-3635.928) [-3629.669] -- 0:17:36
103000 -- (-3633.688) (-3635.524) (-3629.054) [-3642.334] * (-3652.224) (-3630.387) [-3631.640] (-3635.005) -- 0:17:42
104000 -- (-3626.004) [-3616.983] (-3636.987) (-3639.168) * (-3631.407) [-3629.032] (-3637.330) (-3640.728) -- 0:17:39
105000 -- (-3634.209) [-3625.638] (-3627.839) (-3630.659) * [-3630.848] (-3639.889) (-3637.893) (-3637.349) -- 0:17:36
Average standard deviation of split frequencies: 0.018569
106000 -- (-3629.079) (-3653.112) [-3632.766] (-3629.780) * (-3626.263) [-3628.424] (-3641.736) (-3646.213) -- 0:17:34
107000 -- (-3619.559) [-3630.532] (-3645.021) (-3631.894) * (-3649.172) (-3628.437) (-3636.707) [-3630.339] -- 0:17:31
108000 -- (-3636.258) (-3624.023) (-3641.773) [-3620.469] * (-3641.741) (-3619.331) [-3624.783] (-3642.515) -- 0:17:28
109000 -- (-3640.039) (-3645.779) (-3645.821) [-3623.487] * (-3642.926) (-3629.648) [-3630.596] (-3645.256) -- 0:17:34
110000 -- (-3636.335) (-3634.117) [-3627.031] (-3635.844) * (-3639.239) [-3625.765] (-3636.721) (-3672.639) -- 0:17:31
Average standard deviation of split frequencies: 0.018180
111000 -- (-3631.833) (-3622.421) [-3638.030] (-3654.309) * (-3646.910) [-3626.682] (-3637.153) (-3657.066) -- 0:17:29
112000 -- (-3650.228) [-3621.752] (-3633.333) (-3646.069) * (-3637.639) [-3629.527] (-3629.976) (-3621.020) -- 0:17:26
113000 -- [-3615.242] (-3630.471) (-3641.427) (-3638.691) * (-3624.321) (-3639.530) (-3632.412) [-3637.672] -- 0:17:23
114000 -- (-3638.840) (-3631.752) (-3635.186) [-3617.811] * (-3628.176) (-3633.628) [-3629.402] (-3661.808) -- 0:17:21
115000 -- (-3630.451) (-3640.538) (-3653.146) [-3627.903] * [-3614.132] (-3632.887) (-3630.904) (-3641.501) -- 0:17:26
Average standard deviation of split frequencies: 0.020101
116000 -- (-3629.747) [-3638.380] (-3629.015) (-3638.078) * (-3625.521) (-3629.019) [-3620.758] (-3619.002) -- 0:17:24
117000 -- [-3625.543] (-3642.392) (-3635.822) (-3625.663) * (-3652.903) (-3639.017) (-3630.800) [-3630.935] -- 0:17:21
118000 -- [-3629.180] (-3641.726) (-3622.126) (-3627.911) * (-3637.877) (-3645.548) [-3630.916] (-3648.430) -- 0:17:18
119000 -- (-3632.911) (-3621.445) [-3625.719] (-3632.971) * [-3649.317] (-3637.918) (-3659.538) (-3642.558) -- 0:17:16
120000 -- (-3624.833) [-3639.302] (-3646.851) (-3639.383) * (-3636.030) [-3632.725] (-3631.661) (-3636.632) -- 0:17:14
Average standard deviation of split frequencies: 0.018468
121000 -- (-3641.965) [-3642.269] (-3634.146) (-3641.813) * (-3631.326) [-3625.615] (-3641.843) (-3642.815) -- 0:17:18
122000 -- [-3633.669] (-3651.575) (-3649.974) (-3626.842) * (-3636.591) [-3637.077] (-3636.266) (-3631.827) -- 0:17:16
123000 -- (-3646.018) (-3651.516) (-3632.132) [-3623.162] * [-3641.194] (-3647.671) (-3623.630) (-3625.959) -- 0:17:13
124000 -- (-3630.880) (-3638.305) (-3634.701) [-3614.316] * (-3636.497) (-3650.193) (-3621.821) [-3640.386] -- 0:17:11
125000 -- (-3650.072) (-3631.754) (-3651.106) [-3623.867] * [-3623.709] (-3644.538) (-3633.262) (-3632.690) -- 0:17:09
Average standard deviation of split frequencies: 0.017304
126000 -- (-3649.506) (-3630.611) (-3643.981) [-3624.128] * (-3641.088) [-3626.622] (-3628.874) (-3637.097) -- 0:17:06
127000 -- [-3634.230] (-3618.591) (-3651.462) (-3640.918) * (-3636.799) [-3626.140] (-3647.096) (-3641.966) -- 0:17:11
128000 -- (-3631.007) [-3632.381] (-3641.544) (-3649.457) * [-3626.587] (-3637.285) (-3627.097) (-3630.422) -- 0:17:08
129000 -- [-3616.469] (-3631.662) (-3646.577) (-3641.147) * [-3633.436] (-3638.336) (-3635.171) (-3633.583) -- 0:17:06
130000 -- (-3616.141) (-3629.231) [-3632.507] (-3645.175) * (-3640.402) (-3627.785) (-3650.803) [-3625.698] -- 0:17:03
Average standard deviation of split frequencies: 0.018489
131000 -- (-3625.936) (-3631.806) [-3635.318] (-3640.563) * (-3633.766) (-3637.203) (-3645.501) [-3623.329] -- 0:17:01
132000 -- (-3645.954) (-3626.223) (-3638.588) [-3628.822] * (-3631.679) (-3633.528) (-3645.629) [-3619.091] -- 0:17:05
133000 -- (-3650.460) (-3620.167) (-3654.957) [-3636.031] * (-3650.045) (-3620.874) [-3620.985] (-3634.174) -- 0:17:03
134000 -- (-3632.251) [-3634.565] (-3622.472) (-3634.882) * (-3656.564) (-3632.839) (-3623.372) [-3631.332] -- 0:17:01
135000 -- (-3629.675) (-3645.585) (-3640.033) [-3625.414] * (-3642.942) (-3635.102) (-3625.186) [-3629.295] -- 0:16:58
Average standard deviation of split frequencies: 0.017517
136000 -- (-3644.014) [-3641.953] (-3639.409) (-3621.310) * (-3636.089) (-3630.047) (-3638.496) [-3629.050] -- 0:16:56
137000 -- (-3643.993) (-3644.780) [-3632.838] (-3629.796) * (-3636.011) (-3652.098) [-3632.344] (-3644.121) -- 0:17:00
138000 -- (-3635.225) [-3631.488] (-3645.737) (-3622.433) * (-3635.197) (-3641.261) [-3625.774] (-3646.749) -- 0:16:58
139000 -- (-3635.856) (-3633.435) (-3631.922) [-3617.072] * (-3631.162) (-3634.761) [-3621.935] (-3632.890) -- 0:16:55
140000 -- (-3635.518) (-3641.728) (-3632.635) [-3620.224] * [-3630.910] (-3631.002) (-3634.105) (-3648.684) -- 0:16:53
Average standard deviation of split frequencies: 0.017932
141000 -- [-3624.556] (-3651.872) (-3626.494) (-3626.507) * (-3645.163) (-3648.311) [-3632.672] (-3634.660) -- 0:16:51
142000 -- (-3631.238) (-3653.623) [-3644.100] (-3619.947) * (-3632.257) (-3644.386) (-3628.665) [-3647.342] -- 0:16:49
143000 -- (-3642.284) (-3648.443) [-3627.648] (-3626.090) * [-3629.484] (-3639.666) (-3624.255) (-3655.380) -- 0:16:52
144000 -- (-3640.927) (-3641.662) [-3647.860] (-3633.161) * (-3641.430) (-3639.766) [-3647.906] (-3643.374) -- 0:16:50
145000 -- [-3631.485] (-3641.081) (-3639.307) (-3635.768) * (-3643.217) [-3630.983] (-3643.304) (-3637.941) -- 0:16:48
Average standard deviation of split frequencies: 0.018705
146000 -- (-3653.590) (-3637.418) (-3624.672) [-3623.170] * (-3633.444) [-3623.279] (-3638.437) (-3637.167) -- 0:16:46
147000 -- (-3635.616) (-3623.784) [-3628.440] (-3628.927) * [-3629.687] (-3629.609) (-3631.090) (-3632.912) -- 0:16:43
148000 -- (-3621.386) (-3623.105) (-3659.476) [-3623.777] * (-3633.930) (-3637.994) (-3627.709) [-3636.943] -- 0:16:47
149000 -- (-3642.708) (-3621.338) (-3640.998) [-3623.939] * (-3623.316) [-3628.312] (-3649.990) (-3641.293) -- 0:16:45
150000 -- (-3626.690) (-3639.320) (-3626.487) [-3633.385] * [-3628.380] (-3642.106) (-3642.235) (-3629.472) -- 0:16:43
Average standard deviation of split frequencies: 0.016687
151000 -- (-3624.768) (-3640.535) [-3623.200] (-3645.502) * (-3627.133) (-3643.400) [-3614.657] (-3641.364) -- 0:16:40
152000 -- (-3633.880) (-3644.558) [-3628.116] (-3638.313) * (-3646.796) (-3641.113) (-3634.180) [-3644.747] -- 0:16:38
153000 -- [-3631.094] (-3634.791) (-3634.261) (-3625.549) * [-3620.473] (-3627.661) (-3635.488) (-3630.203) -- 0:16:42
154000 -- [-3629.882] (-3635.761) (-3632.648) (-3646.055) * [-3622.017] (-3632.181) (-3627.489) (-3634.772) -- 0:16:39
155000 -- (-3620.666) [-3637.932] (-3633.340) (-3629.858) * (-3631.633) [-3635.830] (-3645.223) (-3642.075) -- 0:16:37
Average standard deviation of split frequencies: 0.016328
156000 -- (-3653.299) (-3632.072) (-3652.093) [-3630.559] * (-3635.617) [-3629.778] (-3625.420) (-3632.751) -- 0:16:35
157000 -- (-3629.244) (-3641.334) (-3657.575) [-3621.661] * (-3635.081) (-3619.919) [-3636.291] (-3634.731) -- 0:16:33
158000 -- (-3658.274) [-3630.032] (-3658.136) (-3637.982) * (-3644.589) (-3625.142) (-3633.373) [-3627.695] -- 0:16:31
159000 -- [-3627.620] (-3632.631) (-3631.685) (-3632.386) * (-3646.278) (-3623.276) [-3633.584] (-3644.618) -- 0:16:34
160000 -- [-3638.702] (-3644.753) (-3636.128) (-3625.843) * (-3639.239) (-3634.495) (-3644.740) [-3627.816] -- 0:16:32
Average standard deviation of split frequencies: 0.015980
161000 -- [-3626.782] (-3631.597) (-3635.705) (-3624.941) * [-3630.319] (-3629.262) (-3639.753) (-3630.150) -- 0:16:30
162000 -- [-3618.092] (-3639.698) (-3638.339) (-3624.830) * (-3631.893) (-3624.055) [-3637.598] (-3624.710) -- 0:16:28
163000 -- [-3621.147] (-3644.230) (-3628.407) (-3639.266) * [-3626.509] (-3656.131) (-3628.875) (-3626.901) -- 0:16:25
164000 -- (-3628.525) (-3636.445) [-3639.558] (-3638.550) * [-3628.749] (-3640.602) (-3632.921) (-3642.044) -- 0:16:23
165000 -- (-3635.206) [-3631.583] (-3643.942) (-3634.847) * (-3636.890) [-3626.303] (-3634.330) (-3644.045) -- 0:16:26
Average standard deviation of split frequencies: 0.016491
166000 -- (-3637.192) (-3622.364) (-3647.735) [-3639.785] * [-3615.660] (-3633.350) (-3627.887) (-3644.584) -- 0:16:24
167000 -- (-3621.809) [-3629.490] (-3646.950) (-3622.150) * [-3614.111] (-3624.999) (-3635.413) (-3641.540) -- 0:16:22
168000 -- [-3633.644] (-3639.725) (-3633.343) (-3626.130) * (-3635.308) (-3630.966) [-3621.872] (-3630.523) -- 0:16:20
169000 -- (-3643.959) (-3649.968) (-3633.410) [-3626.954] * (-3636.729) (-3628.314) [-3613.737] (-3630.501) -- 0:16:18
170000 -- (-3634.890) [-3627.344] (-3638.198) (-3618.197) * (-3623.953) [-3626.875] (-3622.986) (-3626.075) -- 0:16:21
Average standard deviation of split frequencies: 0.016523
171000 -- (-3640.837) (-3648.640) (-3636.714) [-3625.524] * (-3633.929) (-3629.131) [-3625.911] (-3647.996) -- 0:16:19
172000 -- (-3633.805) [-3640.067] (-3645.038) (-3632.796) * (-3636.440) (-3636.173) [-3622.673] (-3661.279) -- 0:16:17
173000 -- (-3637.129) (-3631.317) (-3649.694) [-3643.264] * [-3626.303] (-3631.810) (-3638.709) (-3663.850) -- 0:16:15
174000 -- (-3627.577) [-3624.521] (-3635.873) (-3638.410) * (-3652.598) [-3628.762] (-3627.314) (-3656.298) -- 0:16:13
175000 -- (-3626.506) (-3640.913) (-3642.489) [-3636.334] * (-3638.105) (-3631.074) (-3637.162) [-3623.228] -- 0:16:11
Average standard deviation of split frequencies: 0.016363
176000 -- [-3625.770] (-3643.164) (-3636.704) (-3636.209) * (-3638.852) (-3632.756) [-3635.840] (-3638.254) -- 0:16:13
177000 -- (-3641.110) (-3624.742) [-3630.828] (-3644.037) * [-3628.733] (-3630.128) (-3648.033) (-3636.674) -- 0:16:11
178000 -- (-3639.050) [-3628.571] (-3632.805) (-3646.472) * (-3646.532) (-3638.906) [-3627.623] (-3641.467) -- 0:16:09
179000 -- (-3626.423) (-3619.589) (-3632.901) [-3627.459] * (-3646.069) [-3621.577] (-3628.236) (-3622.983) -- 0:16:07
180000 -- (-3638.557) [-3636.468] (-3636.163) (-3626.262) * (-3630.438) [-3619.515] (-3645.690) (-3631.556) -- 0:16:05
Average standard deviation of split frequencies: 0.017363
181000 -- (-3638.832) (-3621.716) (-3632.013) [-3631.905] * (-3630.798) [-3620.298] (-3636.869) (-3631.120) -- 0:16:03
182000 -- (-3628.832) [-3623.227] (-3627.715) (-3633.223) * (-3634.866) (-3612.845) (-3649.012) [-3625.922] -- 0:16:06
183000 -- (-3624.062) [-3633.838] (-3630.413) (-3645.379) * (-3641.227) (-3639.953) (-3640.116) [-3624.622] -- 0:16:04
184000 -- (-3639.346) (-3637.254) [-3628.141] (-3647.495) * [-3637.077] (-3643.570) (-3637.332) (-3643.226) -- 0:16:02
185000 -- (-3661.005) (-3634.059) [-3629.010] (-3631.167) * (-3633.916) (-3644.589) (-3631.344) [-3631.627] -- 0:16:00
Average standard deviation of split frequencies: 0.017649
186000 -- (-3662.309) (-3628.804) (-3639.335) [-3628.193] * [-3633.792] (-3647.244) (-3631.290) (-3637.159) -- 0:15:58
187000 -- (-3641.967) (-3648.094) (-3631.150) [-3635.871] * (-3633.379) (-3640.818) [-3633.289] (-3642.741) -- 0:15:56
188000 -- [-3629.700] (-3633.953) (-3648.662) (-3628.866) * (-3639.619) [-3630.761] (-3632.484) (-3637.318) -- 0:15:58
189000 -- (-3624.569) (-3635.995) (-3637.013) [-3625.487] * (-3630.416) (-3627.511) (-3626.422) [-3634.910] -- 0:15:56
190000 -- (-3628.018) (-3631.655) [-3623.379] (-3647.885) * (-3633.284) [-3641.725] (-3632.138) (-3638.537) -- 0:15:54
Average standard deviation of split frequencies: 0.017127
191000 -- (-3622.963) (-3652.869) [-3624.344] (-3641.453) * (-3627.704) (-3632.240) [-3630.789] (-3630.792) -- 0:15:53
192000 -- (-3641.940) [-3632.414] (-3634.635) (-3632.478) * (-3640.082) (-3627.814) [-3617.862] (-3654.469) -- 0:15:51
193000 -- (-3634.345) (-3636.312) (-3646.591) [-3631.769] * (-3654.846) (-3620.619) (-3672.922) [-3629.828] -- 0:15:49
194000 -- (-3632.381) (-3623.970) (-3650.400) [-3620.949] * (-3633.553) (-3627.580) [-3632.163] (-3647.918) -- 0:15:51
195000 -- (-3655.123) [-3619.277] (-3638.280) (-3639.563) * (-3631.832) (-3642.969) [-3629.645] (-3636.328) -- 0:15:49
Average standard deviation of split frequencies: 0.016923
196000 -- (-3638.681) (-3633.745) (-3638.449) [-3627.194] * (-3641.315) (-3637.828) [-3631.069] (-3635.656) -- 0:15:47
197000 -- (-3635.383) (-3631.237) [-3627.996] (-3655.940) * (-3627.579) [-3628.751] (-3627.720) (-3635.116) -- 0:15:45
198000 -- (-3624.517) (-3636.189) [-3641.559] (-3650.437) * (-3636.327) [-3635.702] (-3628.278) (-3635.500) -- 0:15:43
199000 -- [-3630.007] (-3637.850) (-3650.496) (-3634.529) * (-3635.589) (-3650.315) (-3644.804) [-3629.774] -- 0:15:45
200000 -- (-3628.336) [-3643.628] (-3654.622) (-3648.950) * (-3631.356) (-3666.635) (-3628.366) [-3623.659] -- 0:15:44
Average standard deviation of split frequencies: 0.014992
201000 -- (-3639.714) (-3632.233) (-3649.488) [-3624.841] * (-3636.861) (-3643.286) [-3641.232] (-3629.329) -- 0:15:42
202000 -- (-3638.905) [-3630.668] (-3648.541) (-3641.553) * [-3628.451] (-3630.155) (-3631.147) (-3633.636) -- 0:15:40
203000 -- [-3629.353] (-3644.200) (-3639.766) (-3628.884) * (-3635.841) (-3635.478) (-3649.194) [-3634.219] -- 0:15:38
204000 -- [-3634.328] (-3636.081) (-3630.499) (-3636.387) * (-3637.306) [-3625.778] (-3646.084) (-3648.149) -- 0:15:36
205000 -- [-3633.495] (-3642.800) (-3653.878) (-3632.830) * (-3633.963) (-3633.851) (-3639.089) [-3623.982] -- 0:15:38
Average standard deviation of split frequencies: 0.014343
206000 -- [-3623.464] (-3635.027) (-3636.051) (-3648.931) * [-3629.740] (-3644.420) (-3626.997) (-3630.437) -- 0:15:36
207000 -- (-3639.502) (-3635.585) (-3652.372) [-3642.914] * (-3631.964) (-3649.887) [-3619.291] (-3646.109) -- 0:15:34
208000 -- (-3639.857) (-3646.778) [-3637.269] (-3643.801) * (-3630.804) (-3649.711) [-3614.704] (-3643.937) -- 0:15:32
209000 -- (-3647.618) (-3644.982) [-3629.893] (-3639.022) * (-3629.423) (-3633.788) [-3616.085] (-3619.698) -- 0:15:31
210000 -- (-3623.621) (-3640.007) [-3624.934] (-3649.545) * (-3628.310) [-3632.317] (-3626.690) (-3629.492) -- 0:15:32
Average standard deviation of split frequencies: 0.013346
211000 -- (-3642.741) (-3634.907) [-3629.783] (-3633.010) * (-3629.562) [-3637.380] (-3645.137) (-3638.107) -- 0:15:31
212000 -- (-3625.243) (-3640.077) [-3635.102] (-3644.540) * (-3625.813) (-3632.290) [-3619.840] (-3627.163) -- 0:15:29
213000 -- (-3627.284) (-3625.295) (-3634.667) [-3624.630] * (-3646.717) (-3625.287) [-3622.406] (-3630.392) -- 0:15:27
214000 -- [-3617.830] (-3637.726) (-3640.023) (-3624.184) * (-3663.435) (-3655.335) [-3620.970] (-3635.868) -- 0:15:25
215000 -- (-3635.463) (-3624.829) (-3641.716) [-3631.025] * [-3632.108] (-3636.630) (-3621.634) (-3621.454) -- 0:15:27
Average standard deviation of split frequencies: 0.013134
216000 -- (-3636.059) (-3639.392) (-3628.096) [-3612.637] * (-3634.052) (-3631.840) (-3629.549) [-3623.917] -- 0:15:25
217000 -- (-3639.096) [-3623.372] (-3630.421) (-3631.239) * [-3620.472] (-3646.621) (-3629.117) (-3649.831) -- 0:15:23
218000 -- [-3621.726] (-3629.315) (-3632.074) (-3627.761) * (-3628.293) (-3634.690) [-3631.312] (-3640.432) -- 0:15:21
219000 -- (-3627.036) [-3626.782] (-3632.361) (-3635.283) * (-3633.432) (-3634.030) [-3627.938] (-3644.754) -- 0:15:20
220000 -- (-3647.589) (-3640.751) (-3637.499) [-3620.765] * (-3632.478) (-3648.721) [-3621.218] (-3626.574) -- 0:15:21
Average standard deviation of split frequencies: 0.013090
221000 -- (-3641.385) (-3650.938) [-3623.140] (-3650.499) * (-3630.574) (-3638.106) [-3626.918] (-3644.759) -- 0:15:19
222000 -- (-3640.395) (-3632.229) (-3655.301) [-3630.579] * (-3637.951) (-3640.503) [-3624.934] (-3643.034) -- 0:15:18
223000 -- (-3639.750) [-3636.161] (-3631.593) (-3636.908) * [-3632.929] (-3628.395) (-3630.915) (-3644.467) -- 0:15:16
224000 -- (-3623.255) [-3626.495] (-3650.609) (-3647.525) * [-3631.358] (-3633.678) (-3652.145) (-3636.749) -- 0:15:14
225000 -- (-3642.995) (-3634.201) (-3637.670) [-3621.891] * (-3648.403) (-3634.029) (-3624.334) [-3632.016] -- 0:15:12
Average standard deviation of split frequencies: 0.013744
226000 -- (-3642.734) (-3632.521) (-3631.103) [-3632.527] * (-3635.207) (-3632.678) [-3620.266] (-3625.339) -- 0:15:14
227000 -- (-3623.067) (-3635.329) (-3646.158) [-3628.054] * (-3650.206) (-3641.899) [-3615.081] (-3645.687) -- 0:15:12
228000 -- [-3629.262] (-3628.142) (-3630.976) (-3633.236) * (-3635.550) (-3644.723) [-3617.053] (-3642.038) -- 0:15:10
229000 -- (-3623.124) (-3642.822) [-3621.658] (-3634.890) * (-3638.102) [-3627.061] (-3634.786) (-3635.893) -- 0:15:09
230000 -- (-3639.677) (-3628.011) (-3628.406) [-3621.670] * [-3640.034] (-3644.476) (-3623.987) (-3624.112) -- 0:15:07
Average standard deviation of split frequencies: 0.014160
231000 -- (-3647.340) (-3641.897) (-3642.162) [-3624.808] * (-3666.013) [-3621.856] (-3624.016) (-3627.100) -- 0:15:05
232000 -- (-3635.444) (-3641.033) (-3645.759) [-3631.942] * (-3668.437) (-3628.960) (-3631.562) [-3630.464] -- 0:15:07
233000 -- [-3631.999] (-3629.541) (-3637.786) (-3627.792) * (-3631.787) (-3645.702) (-3642.962) [-3621.287] -- 0:15:05
234000 -- (-3638.988) [-3626.270] (-3649.018) (-3621.192) * [-3628.835] (-3636.512) (-3638.451) (-3631.908) -- 0:15:03
235000 -- [-3635.957] (-3626.850) (-3643.752) (-3630.669) * (-3636.229) (-3629.992) (-3633.005) [-3627.894] -- 0:15:01
Average standard deviation of split frequencies: 0.014410
236000 -- (-3635.767) (-3626.737) (-3635.422) [-3630.868] * (-3629.174) (-3641.511) (-3634.050) [-3629.838] -- 0:14:59
237000 -- [-3629.788] (-3633.384) (-3644.639) (-3643.519) * [-3624.461] (-3632.752) (-3626.544) (-3655.450) -- 0:14:58
238000 -- [-3619.895] (-3634.634) (-3643.264) (-3639.778) * [-3635.840] (-3639.004) (-3631.428) (-3636.105) -- 0:14:59
239000 -- [-3622.287] (-3643.818) (-3636.242) (-3645.387) * (-3658.836) (-3628.358) [-3621.071] (-3637.343) -- 0:14:57
240000 -- [-3628.484] (-3633.349) (-3649.272) (-3645.059) * (-3642.718) (-3640.101) (-3647.121) [-3627.620] -- 0:14:56
Average standard deviation of split frequencies: 0.014673
241000 -- (-3620.214) (-3623.697) [-3625.742] (-3643.271) * (-3650.938) (-3632.619) (-3640.255) [-3616.225] -- 0:14:54
242000 -- (-3641.026) (-3635.709) [-3621.499] (-3629.939) * (-3650.151) (-3626.002) (-3647.836) [-3628.540] -- 0:14:52
243000 -- (-3635.450) (-3627.155) [-3619.236] (-3633.320) * (-3651.552) (-3629.001) (-3635.830) [-3631.564] -- 0:14:50
244000 -- (-3635.452) (-3629.726) [-3620.491] (-3632.869) * (-3636.416) (-3641.701) (-3652.884) [-3637.158] -- 0:14:52
245000 -- (-3633.064) (-3645.277) [-3615.450] (-3631.187) * (-3635.833) [-3626.016] (-3643.098) (-3641.248) -- 0:14:50
Average standard deviation of split frequencies: 0.015229
246000 -- (-3648.657) (-3655.064) (-3627.656) [-3629.900] * [-3626.632] (-3627.953) (-3650.150) (-3620.476) -- 0:14:48
247000 -- (-3648.861) (-3626.346) (-3632.661) [-3628.935] * [-3626.583] (-3656.037) (-3643.498) (-3625.784) -- 0:14:47
248000 -- (-3628.655) [-3623.620] (-3636.215) (-3635.111) * (-3641.425) (-3636.181) [-3626.280] (-3628.751) -- 0:14:45
249000 -- (-3636.086) [-3625.437] (-3635.025) (-3628.786) * (-3631.855) [-3624.322] (-3645.834) (-3622.955) -- 0:14:43
250000 -- [-3625.642] (-3624.206) (-3633.781) (-3636.023) * (-3634.000) [-3618.204] (-3659.271) (-3632.725) -- 0:14:45
Average standard deviation of split frequencies: 0.015243
251000 -- (-3643.412) [-3639.051] (-3639.496) (-3624.881) * (-3634.229) (-3641.946) (-3648.766) [-3620.270] -- 0:14:43
252000 -- [-3634.214] (-3637.384) (-3624.502) (-3625.197) * (-3632.067) (-3639.281) (-3652.041) [-3625.762] -- 0:14:41
253000 -- (-3624.794) (-3639.868) [-3627.357] (-3619.190) * (-3646.733) [-3637.891] (-3644.449) (-3629.632) -- 0:14:39
254000 -- [-3634.472] (-3627.307) (-3625.961) (-3625.381) * [-3638.028] (-3641.061) (-3652.692) (-3640.795) -- 0:14:38
255000 -- (-3641.883) [-3631.376] (-3636.680) (-3633.758) * (-3633.344) (-3633.711) (-3640.053) [-3631.255] -- 0:14:36
Average standard deviation of split frequencies: 0.015239
256000 -- (-3648.994) [-3625.038] (-3633.481) (-3634.277) * [-3637.036] (-3629.394) (-3625.739) (-3633.810) -- 0:14:37
257000 -- (-3642.065) (-3646.663) (-3643.162) [-3626.386] * (-3648.402) [-3632.373] (-3634.856) (-3634.964) -- 0:14:35
258000 -- [-3625.782] (-3636.687) (-3638.126) (-3631.477) * (-3631.823) (-3629.543) [-3642.159] (-3644.748) -- 0:14:34
259000 -- [-3627.430] (-3650.629) (-3628.503) (-3632.099) * [-3623.902] (-3627.407) (-3631.230) (-3637.868) -- 0:14:32
260000 -- [-3620.139] (-3645.846) (-3631.579) (-3637.806) * (-3635.102) (-3645.981) (-3627.838) [-3635.550] -- 0:14:30
Average standard deviation of split frequencies: 0.015388
261000 -- (-3636.365) (-3644.142) [-3623.859] (-3636.360) * [-3621.815] (-3648.658) (-3632.898) (-3635.382) -- 0:14:32
262000 -- (-3644.508) [-3629.757] (-3633.231) (-3628.970) * (-3624.915) [-3629.853] (-3635.719) (-3661.328) -- 0:14:30
263000 -- [-3626.055] (-3636.606) (-3635.801) (-3641.457) * [-3632.217] (-3618.758) (-3636.438) (-3639.828) -- 0:14:28
264000 -- [-3629.579] (-3644.636) (-3639.709) (-3635.369) * [-3630.501] (-3651.769) (-3623.295) (-3629.771) -- 0:14:27
265000 -- (-3633.408) (-3643.710) [-3624.348] (-3638.453) * [-3625.466] (-3631.015) (-3629.484) (-3633.042) -- 0:14:25
Average standard deviation of split frequencies: 0.014716
266000 -- (-3632.210) (-3641.696) (-3630.951) [-3622.359] * (-3642.046) (-3628.624) [-3621.120] (-3620.827) -- 0:14:23
267000 -- [-3647.041] (-3642.344) (-3638.432) (-3634.196) * (-3649.244) (-3658.350) (-3628.127) [-3626.901] -- 0:14:24
268000 -- (-3636.569) (-3651.981) [-3627.947] (-3639.577) * [-3629.989] (-3651.001) (-3630.292) (-3646.757) -- 0:14:23
269000 -- (-3636.418) (-3655.732) [-3630.756] (-3655.678) * [-3626.530] (-3643.025) (-3628.588) (-3633.045) -- 0:14:21
270000 -- (-3638.396) (-3637.776) [-3631.033] (-3631.177) * (-3651.943) (-3647.534) [-3624.476] (-3644.491) -- 0:14:19
Average standard deviation of split frequencies: 0.015168
271000 -- (-3658.168) (-3646.821) (-3639.695) [-3637.093] * (-3633.900) (-3620.659) [-3636.187] (-3633.295) -- 0:14:18
272000 -- (-3639.577) (-3644.077) (-3625.286) [-3621.912] * (-3644.811) [-3623.105] (-3635.304) (-3639.033) -- 0:14:19
273000 -- (-3658.751) (-3654.935) [-3624.611] (-3629.237) * (-3640.715) (-3635.645) [-3637.957] (-3627.909) -- 0:14:17
274000 -- (-3643.980) (-3644.676) [-3625.240] (-3635.743) * (-3640.127) (-3627.053) [-3628.457] (-3631.028) -- 0:14:15
275000 -- (-3672.568) (-3650.406) [-3619.876] (-3626.575) * (-3647.261) (-3642.697) (-3635.741) [-3617.102] -- 0:14:14
Average standard deviation of split frequencies: 0.014533
276000 -- (-3660.041) [-3633.994] (-3639.181) (-3631.156) * [-3620.835] (-3641.874) (-3627.884) (-3629.204) -- 0:14:12
277000 -- (-3651.438) [-3634.712] (-3635.079) (-3630.573) * (-3657.375) (-3631.368) [-3628.178] (-3629.428) -- 0:14:13
278000 -- (-3632.414) (-3636.698) (-3637.444) [-3626.274] * (-3628.122) [-3629.036] (-3645.353) (-3627.531) -- 0:14:11
279000 -- (-3651.149) [-3631.207] (-3631.313) (-3649.691) * (-3630.770) [-3627.659] (-3637.610) (-3630.440) -- 0:14:10
280000 -- [-3640.310] (-3631.716) (-3637.359) (-3632.875) * (-3644.531) (-3627.653) [-3626.794] (-3630.890) -- 0:14:08
Average standard deviation of split frequencies: 0.014414
281000 -- (-3648.302) (-3624.702) (-3626.924) [-3622.439] * (-3631.993) (-3658.741) [-3634.887] (-3639.274) -- 0:14:06
282000 -- (-3642.409) (-3633.509) (-3635.578) [-3629.555] * (-3622.852) (-3646.307) (-3634.872) [-3624.401] -- 0:14:07
283000 -- (-3660.610) (-3634.805) (-3624.029) [-3626.202] * [-3641.262] (-3636.949) (-3627.768) (-3639.544) -- 0:14:06
284000 -- [-3639.267] (-3635.386) (-3630.712) (-3634.312) * [-3626.305] (-3628.189) (-3640.987) (-3622.318) -- 0:14:04
285000 -- [-3635.342] (-3627.549) (-3634.750) (-3640.249) * (-3636.993) (-3620.906) (-3632.816) [-3625.062] -- 0:14:02
Average standard deviation of split frequencies: 0.013666
286000 -- (-3627.993) [-3621.209] (-3638.120) (-3635.228) * (-3622.693) [-3623.212] (-3652.466) (-3627.433) -- 0:14:01
287000 -- [-3631.037] (-3631.914) (-3640.085) (-3639.549) * [-3622.804] (-3633.965) (-3636.502) (-3623.775) -- 0:14:02
288000 -- (-3637.936) (-3634.697) [-3629.171] (-3652.045) * (-3629.586) (-3636.887) [-3629.583] (-3627.707) -- 0:14:00
289000 -- [-3623.023] (-3641.486) (-3642.824) (-3641.177) * [-3625.115] (-3654.512) (-3639.671) (-3634.290) -- 0:13:58
290000 -- [-3634.543] (-3624.490) (-3629.642) (-3644.028) * [-3625.062] (-3631.412) (-3644.893) (-3644.523) -- 0:13:57
Average standard deviation of split frequencies: 0.013092
291000 -- (-3630.197) (-3631.554) [-3628.166] (-3651.111) * (-3652.921) [-3632.217] (-3652.447) (-3636.029) -- 0:13:55
292000 -- [-3620.651] (-3624.324) (-3643.759) (-3637.899) * [-3623.013] (-3637.209) (-3637.626) (-3640.273) -- 0:13:54
293000 -- (-3641.541) (-3640.478) [-3633.580] (-3644.422) * (-3633.524) (-3636.208) (-3638.025) [-3623.029] -- 0:13:54
294000 -- [-3627.667] (-3648.788) (-3624.170) (-3630.488) * [-3634.225] (-3641.367) (-3647.174) (-3639.685) -- 0:13:53
295000 -- (-3626.414) (-3635.740) [-3618.188] (-3629.431) * [-3632.423] (-3640.822) (-3640.317) (-3638.479) -- 0:13:51
Average standard deviation of split frequencies: 0.012277
296000 -- (-3635.716) [-3627.178] (-3634.284) (-3629.093) * (-3628.346) [-3634.562] (-3629.987) (-3625.941) -- 0:13:50
297000 -- (-3640.144) [-3639.819] (-3633.800) (-3632.602) * [-3637.223] (-3633.484) (-3626.713) (-3632.107) -- 0:13:48
298000 -- (-3640.318) (-3641.098) (-3641.697) [-3624.433] * (-3642.981) (-3644.401) [-3623.446] (-3631.842) -- 0:13:46
299000 -- (-3637.307) (-3641.307) (-3652.098) [-3637.223] * [-3630.577] (-3636.662) (-3638.836) (-3649.691) -- 0:13:47
300000 -- (-3633.502) (-3643.279) (-3641.743) [-3633.643] * (-3632.133) (-3632.496) (-3634.603) [-3633.217] -- 0:13:46
Average standard deviation of split frequencies: 0.013170
301000 -- (-3649.025) (-3642.614) [-3633.212] (-3641.906) * (-3644.579) [-3635.312] (-3637.375) (-3625.322) -- 0:13:44
302000 -- (-3645.180) (-3629.241) (-3641.482) [-3632.500] * (-3622.355) (-3632.186) (-3637.841) [-3638.081] -- 0:13:42
303000 -- (-3637.749) [-3631.327] (-3640.874) (-3627.864) * (-3635.529) [-3634.473] (-3637.478) (-3635.606) -- 0:13:41
304000 -- [-3641.371] (-3627.962) (-3628.871) (-3627.923) * (-3637.226) (-3648.911) (-3632.100) [-3632.679] -- 0:13:39
305000 -- (-3636.677) [-3627.200] (-3627.361) (-3629.978) * (-3643.204) (-3648.329) [-3627.633] (-3645.009) -- 0:13:38
Average standard deviation of split frequencies: 0.013389
306000 -- (-3637.726) (-3650.454) (-3622.137) [-3632.733] * (-3626.631) (-3637.874) [-3618.142] (-3636.517) -- 0:13:38
307000 -- (-3634.662) [-3628.638] (-3623.909) (-3650.530) * (-3632.450) (-3640.410) [-3615.756] (-3651.475) -- 0:13:37
308000 -- (-3625.986) (-3646.506) [-3620.899] (-3650.105) * [-3636.681] (-3643.702) (-3632.662) (-3646.525) -- 0:13:35
309000 -- [-3628.456] (-3635.224) (-3636.433) (-3639.193) * [-3620.987] (-3634.428) (-3636.203) (-3640.679) -- 0:13:33
310000 -- (-3624.167) [-3633.585] (-3632.210) (-3630.074) * (-3636.979) (-3631.118) [-3625.679] (-3625.330) -- 0:13:32
Average standard deviation of split frequencies: 0.013463
311000 -- (-3628.747) (-3652.687) (-3626.306) [-3626.246] * (-3647.486) [-3626.415] (-3643.115) (-3630.319) -- 0:13:30
312000 -- (-3618.925) (-3641.267) [-3639.134] (-3632.828) * [-3620.808] (-3636.759) (-3645.583) (-3630.509) -- 0:13:31
313000 -- (-3639.022) (-3623.267) [-3628.894] (-3644.690) * (-3646.910) [-3636.245] (-3640.550) (-3652.575) -- 0:13:29
314000 -- [-3636.250] (-3623.330) (-3638.090) (-3630.221) * [-3623.519] (-3628.946) (-3625.341) (-3646.339) -- 0:13:28
315000 -- [-3634.953] (-3630.824) (-3631.763) (-3644.426) * (-3644.790) (-3626.714) [-3633.953] (-3632.451) -- 0:13:26
Average standard deviation of split frequencies: 0.013073
316000 -- (-3658.967) [-3635.608] (-3641.895) (-3629.499) * (-3636.774) [-3628.189] (-3641.244) (-3633.413) -- 0:13:25
317000 -- (-3641.837) (-3628.082) (-3630.451) [-3633.992] * (-3635.184) (-3644.308) (-3649.914) [-3632.054] -- 0:13:23
318000 -- [-3641.663] (-3638.119) (-3635.048) (-3649.569) * (-3654.558) [-3643.447] (-3629.243) (-3635.323) -- 0:13:24
319000 -- (-3637.364) (-3633.143) [-3630.249] (-3632.808) * (-3644.829) (-3633.728) (-3623.258) [-3620.347] -- 0:13:22
320000 -- (-3637.325) [-3618.906] (-3622.661) (-3639.639) * (-3644.392) (-3639.956) [-3619.997] (-3622.695) -- 0:13:21
Average standard deviation of split frequencies: 0.013124
321000 -- (-3648.380) [-3628.875] (-3634.701) (-3633.411) * (-3638.169) (-3646.633) [-3638.856] (-3629.355) -- 0:13:19
322000 -- [-3621.615] (-3634.754) (-3634.632) (-3640.844) * (-3644.169) [-3628.823] (-3637.287) (-3640.026) -- 0:13:18
323000 -- (-3633.674) (-3625.396) [-3630.546] (-3639.191) * [-3613.170] (-3631.178) (-3646.718) (-3641.600) -- 0:13:18
324000 -- (-3626.153) [-3620.466] (-3635.891) (-3651.952) * (-3631.238) (-3637.763) (-3641.172) [-3637.140] -- 0:13:17
325000 -- [-3617.607] (-3628.643) (-3633.894) (-3655.208) * (-3639.250) (-3632.604) (-3626.760) [-3628.304] -- 0:13:15
Average standard deviation of split frequencies: 0.012331
326000 -- (-3624.537) (-3627.521) [-3628.813] (-3653.822) * [-3650.340] (-3637.467) (-3638.593) (-3634.906) -- 0:13:13
327000 -- [-3622.762] (-3637.044) (-3650.571) (-3639.843) * (-3633.173) [-3638.432] (-3633.205) (-3639.749) -- 0:13:12
328000 -- (-3640.033) [-3639.008] (-3638.299) (-3636.325) * [-3639.984] (-3633.422) (-3644.507) (-3643.271) -- 0:13:12
329000 -- (-3640.083) [-3628.300] (-3640.391) (-3657.356) * (-3638.539) [-3627.892] (-3648.956) (-3657.811) -- 0:13:11
330000 -- (-3633.461) (-3619.420) [-3632.955] (-3639.172) * (-3619.272) [-3630.522] (-3645.057) (-3631.310) -- 0:13:09
Average standard deviation of split frequencies: 0.012169
331000 -- [-3630.451] (-3635.561) (-3640.908) (-3632.905) * [-3621.484] (-3629.719) (-3641.160) (-3641.728) -- 0:13:08
332000 -- [-3635.114] (-3643.322) (-3638.149) (-3651.486) * (-3651.085) (-3651.629) [-3629.929] (-3631.571) -- 0:13:06
333000 -- (-3629.568) (-3654.986) [-3649.135] (-3637.414) * (-3646.969) (-3642.558) [-3621.096] (-3628.065) -- 0:13:05
334000 -- (-3632.004) (-3655.420) [-3628.305] (-3633.272) * (-3635.514) (-3640.430) [-3619.335] (-3624.870) -- 0:13:05
335000 -- [-3637.929] (-3637.332) (-3629.125) (-3646.011) * (-3632.233) (-3632.280) (-3631.549) [-3621.765] -- 0:13:04
Average standard deviation of split frequencies: 0.011836
336000 -- [-3633.320] (-3632.759) (-3637.593) (-3648.868) * (-3647.926) (-3641.010) (-3636.907) [-3655.367] -- 0:13:02
337000 -- (-3657.465) [-3629.021] (-3640.371) (-3633.689) * [-3619.976] (-3638.779) (-3620.878) (-3641.361) -- 0:13:01
338000 -- (-3645.455) (-3634.469) (-3642.877) [-3629.413] * [-3631.245] (-3639.623) (-3623.435) (-3644.970) -- 0:12:59
339000 -- (-3644.424) [-3617.457] (-3634.066) (-3630.767) * (-3628.553) (-3638.698) (-3637.408) [-3636.227] -- 0:12:59
340000 -- (-3633.300) (-3631.271) [-3629.347] (-3645.585) * [-3629.096] (-3629.886) (-3625.446) (-3632.342) -- 0:12:58
Average standard deviation of split frequencies: 0.011875
341000 -- (-3632.477) (-3643.819) (-3627.283) [-3635.707] * [-3620.636] (-3635.166) (-3623.527) (-3624.485) -- 0:12:56
342000 -- (-3636.675) (-3647.344) [-3635.437] (-3641.269) * (-3626.294) [-3623.939] (-3640.368) (-3637.849) -- 0:12:55
343000 -- [-3629.601] (-3633.634) (-3641.283) (-3641.658) * [-3624.938] (-3633.347) (-3623.625) (-3643.974) -- 0:12:53
344000 -- (-3629.554) [-3628.653] (-3646.304) (-3643.535) * (-3629.347) (-3637.705) (-3629.986) [-3620.400] -- 0:12:52
345000 -- (-3633.577) (-3622.860) (-3640.275) [-3633.590] * (-3626.257) (-3637.280) (-3639.187) [-3634.730] -- 0:12:52
Average standard deviation of split frequencies: 0.012163
346000 -- (-3631.265) (-3623.167) (-3646.721) [-3625.738] * [-3623.311] (-3632.258) (-3644.364) (-3644.391) -- 0:12:51
347000 -- [-3632.634] (-3635.191) (-3640.214) (-3641.756) * (-3624.974) [-3635.890] (-3648.658) (-3624.391) -- 0:12:49
348000 -- (-3638.806) [-3640.399] (-3628.494) (-3642.367) * (-3643.406) [-3629.267] (-3635.011) (-3633.530) -- 0:12:48
349000 -- (-3635.644) [-3631.291] (-3630.739) (-3643.556) * (-3635.212) (-3643.270) (-3650.110) [-3630.744] -- 0:12:46
350000 -- (-3627.688) (-3645.016) [-3627.936] (-3635.469) * (-3629.142) (-3643.375) [-3634.591] (-3647.095) -- 0:12:47
Average standard deviation of split frequencies: 0.012441
351000 -- [-3628.564] (-3636.316) (-3640.268) (-3623.781) * (-3623.213) (-3658.855) (-3638.238) [-3630.471] -- 0:12:45
352000 -- (-3634.521) (-3638.327) (-3641.543) [-3627.534] * (-3632.054) (-3636.393) (-3652.815) [-3634.357] -- 0:12:43
353000 -- (-3622.922) (-3631.704) [-3623.551] (-3626.035) * (-3645.252) (-3637.657) (-3632.949) [-3640.818] -- 0:12:42
354000 -- (-3633.513) (-3645.964) (-3616.704) [-3626.821] * (-3635.923) (-3634.704) [-3626.934] (-3633.854) -- 0:12:40
355000 -- [-3614.681] (-3635.885) (-3629.859) (-3634.062) * (-3636.016) (-3631.467) [-3625.751] (-3631.452) -- 0:12:39
Average standard deviation of split frequencies: 0.012367
356000 -- (-3631.393) (-3632.389) [-3630.912] (-3639.998) * (-3637.206) (-3636.323) (-3638.870) [-3617.799] -- 0:12:39
357000 -- [-3632.784] (-3636.852) (-3642.698) (-3646.944) * (-3643.341) (-3631.843) [-3618.502] (-3627.069) -- 0:12:38
358000 -- [-3632.768] (-3629.931) (-3641.624) (-3638.736) * (-3637.265) (-3621.424) (-3643.103) [-3626.488] -- 0:12:36
359000 -- (-3664.663) (-3633.945) [-3622.892] (-3636.922) * (-3638.471) (-3639.778) [-3621.880] (-3622.740) -- 0:12:35
360000 -- (-3646.001) (-3628.708) [-3629.812] (-3631.726) * (-3632.953) (-3633.463) (-3638.732) [-3633.769] -- 0:12:33
Average standard deviation of split frequencies: 0.012001
361000 -- (-3631.011) [-3625.827] (-3637.733) (-3629.389) * (-3621.111) (-3648.734) [-3634.133] (-3627.510) -- 0:12:32
362000 -- (-3649.213) [-3627.228] (-3624.377) (-3635.644) * (-3651.278) (-3622.773) [-3628.457] (-3644.824) -- 0:12:32
363000 -- [-3629.349] (-3632.238) (-3629.522) (-3637.003) * (-3630.109) [-3623.654] (-3626.415) (-3624.965) -- 0:12:31
364000 -- (-3640.937) (-3626.363) (-3643.692) [-3630.221] * (-3645.990) (-3646.400) [-3629.159] (-3633.360) -- 0:12:29
365000 -- (-3659.506) [-3633.688] (-3651.574) (-3626.425) * [-3635.366] (-3644.325) (-3627.129) (-3625.520) -- 0:12:28
Average standard deviation of split frequencies: 0.012622
366000 -- (-3647.633) (-3623.841) (-3648.410) [-3622.633] * (-3638.814) (-3641.443) (-3626.786) [-3627.022] -- 0:12:26
367000 -- [-3632.925] (-3617.810) (-3637.478) (-3630.438) * (-3631.547) (-3649.200) [-3631.954] (-3650.649) -- 0:12:25
368000 -- (-3640.631) (-3625.949) (-3642.499) [-3627.943] * [-3624.254] (-3649.102) (-3648.476) (-3639.100) -- 0:12:25
369000 -- (-3644.617) (-3629.099) (-3638.793) [-3619.701] * (-3635.580) [-3637.013] (-3650.381) (-3633.229) -- 0:12:23
370000 -- (-3644.965) (-3635.784) [-3616.730] (-3632.114) * (-3624.939) (-3635.083) (-3651.242) [-3627.487] -- 0:12:22
Average standard deviation of split frequencies: 0.012371
371000 -- (-3644.120) (-3643.655) [-3616.088] (-3629.611) * [-3625.786] (-3624.736) (-3647.475) (-3642.597) -- 0:12:20
372000 -- (-3634.072) (-3636.864) [-3630.089] (-3629.281) * [-3616.285] (-3628.335) (-3633.254) (-3627.659) -- 0:12:19
373000 -- (-3656.767) (-3633.897) (-3647.024) [-3629.466] * (-3641.872) [-3617.262] (-3630.736) (-3643.050) -- 0:12:17
374000 -- (-3667.067) (-3642.353) (-3643.746) [-3622.432] * (-3631.827) (-3637.052) (-3644.341) [-3621.870] -- 0:12:18
375000 -- (-3637.179) (-3634.724) [-3632.408] (-3629.060) * (-3634.398) (-3639.510) [-3620.820] (-3635.413) -- 0:12:16
Average standard deviation of split frequencies: 0.012677
376000 -- (-3634.133) (-3615.759) (-3621.886) [-3631.389] * (-3642.834) (-3635.501) [-3618.924] (-3633.164) -- 0:12:15
377000 -- (-3633.101) (-3628.935) [-3627.739] (-3630.428) * (-3632.049) (-3644.861) (-3626.347) [-3627.665] -- 0:12:13
378000 -- (-3630.651) (-3631.912) (-3632.200) [-3629.052] * (-3645.303) (-3628.697) [-3629.563] (-3630.113) -- 0:12:12
379000 -- (-3622.210) [-3626.480] (-3625.430) (-3633.584) * [-3632.716] (-3638.026) (-3638.484) (-3636.627) -- 0:12:10
380000 -- (-3642.457) (-3630.932) (-3632.333) [-3626.969] * [-3624.553] (-3646.346) (-3640.001) (-3640.793) -- 0:12:09
Average standard deviation of split frequencies: 0.012636
381000 -- (-3640.899) [-3635.792] (-3632.861) (-3650.768) * [-3634.956] (-3630.885) (-3629.836) (-3642.005) -- 0:12:09
382000 -- (-3644.344) [-3644.493] (-3620.765) (-3628.030) * (-3628.589) [-3625.552] (-3627.589) (-3630.436) -- 0:12:08
383000 -- [-3621.905] (-3628.196) (-3619.581) (-3654.503) * (-3634.630) (-3654.127) (-3627.338) [-3628.836] -- 0:12:06
384000 -- [-3629.039] (-3633.256) (-3641.515) (-3659.958) * (-3630.784) (-3637.761) [-3625.339] (-3649.043) -- 0:12:05
385000 -- (-3636.407) [-3625.070] (-3642.937) (-3632.537) * (-3629.637) [-3625.237] (-3644.044) (-3652.169) -- 0:12:03
Average standard deviation of split frequencies: 0.012484
386000 -- (-3643.494) (-3626.919) (-3639.970) [-3634.631] * (-3637.828) (-3621.465) (-3640.385) [-3637.967] -- 0:12:03
387000 -- [-3628.153] (-3642.235) (-3635.037) (-3629.940) * (-3669.442) [-3620.372] (-3633.050) (-3623.661) -- 0:12:02
388000 -- (-3622.369) [-3613.401] (-3626.034) (-3627.379) * (-3632.249) (-3622.455) (-3641.506) [-3625.792] -- 0:12:00
389000 -- (-3623.993) (-3632.454) (-3627.792) [-3617.126] * (-3644.800) (-3632.758) [-3634.087] (-3641.595) -- 0:11:59
390000 -- (-3627.842) (-3645.563) (-3623.930) [-3615.702] * [-3629.790] (-3638.179) (-3650.455) (-3651.481) -- 0:11:57
Average standard deviation of split frequencies: 0.012715
391000 -- (-3628.850) (-3638.332) (-3627.897) [-3615.351] * (-3624.816) (-3639.146) (-3652.062) [-3630.028] -- 0:11:58
392000 -- [-3626.789] (-3628.632) (-3638.370) (-3633.383) * (-3630.665) (-3639.457) (-3636.162) [-3629.913] -- 0:11:56
393000 -- (-3648.909) (-3635.736) (-3630.669) [-3619.755] * (-3638.682) [-3626.223] (-3633.190) (-3630.870) -- 0:11:55
394000 -- [-3626.103] (-3632.610) (-3628.317) (-3630.249) * (-3653.344) (-3637.085) (-3624.890) [-3628.702] -- 0:11:53
395000 -- [-3636.515] (-3656.683) (-3623.886) (-3638.078) * [-3620.429] (-3629.904) (-3642.959) (-3633.073) -- 0:11:52
Average standard deviation of split frequencies: 0.012565
396000 -- (-3643.517) (-3642.702) (-3629.611) [-3633.374] * [-3629.848] (-3659.334) (-3638.766) (-3640.888) -- 0:11:50
397000 -- (-3647.273) (-3631.115) [-3625.947] (-3624.814) * [-3621.308] (-3636.673) (-3636.775) (-3644.729) -- 0:11:50
398000 -- (-3631.253) [-3621.982] (-3618.437) (-3637.543) * [-3626.692] (-3641.929) (-3638.040) (-3631.993) -- 0:11:49
399000 -- (-3636.717) [-3628.632] (-3642.335) (-3627.196) * (-3633.560) [-3618.996] (-3632.644) (-3632.704) -- 0:11:47
400000 -- (-3638.354) (-3630.982) [-3632.682] (-3639.340) * (-3642.815) [-3626.855] (-3619.182) (-3646.060) -- 0:11:46
Average standard deviation of split frequencies: 0.012572
401000 -- (-3633.609) [-3614.775] (-3645.698) (-3629.467) * (-3627.822) (-3624.116) (-3626.402) [-3628.560] -- 0:11:45
402000 -- (-3636.495) (-3633.524) (-3638.419) [-3626.802] * (-3632.835) (-3628.284) (-3642.588) [-3625.106] -- 0:11:45
403000 -- (-3636.912) [-3619.091] (-3640.191) (-3630.526) * (-3647.862) [-3618.513] (-3653.142) (-3637.439) -- 0:11:43
404000 -- (-3633.031) (-3629.306) [-3638.469] (-3634.541) * (-3641.458) (-3629.183) (-3637.604) [-3645.384] -- 0:11:42
405000 -- (-3622.184) [-3620.419] (-3639.986) (-3623.618) * (-3634.107) (-3649.182) [-3632.831] (-3657.061) -- 0:11:40
Average standard deviation of split frequencies: 0.012012
406000 -- (-3632.526) (-3639.196) (-3624.957) [-3617.656] * [-3619.801] (-3626.825) (-3641.035) (-3636.647) -- 0:11:39
407000 -- (-3648.066) (-3642.656) (-3634.502) [-3621.457] * (-3651.172) (-3633.421) [-3622.984] (-3639.062) -- 0:11:39
408000 -- (-3637.473) (-3647.552) [-3627.159] (-3638.918) * (-3639.145) (-3630.791) [-3633.144] (-3642.194) -- 0:11:37
409000 -- (-3632.355) (-3640.543) (-3618.693) [-3627.110] * [-3645.724] (-3648.016) (-3656.069) (-3625.224) -- 0:11:36
410000 -- (-3637.682) (-3638.321) [-3635.967] (-3636.052) * (-3632.442) [-3631.951] (-3658.151) (-3640.266) -- 0:11:35
Average standard deviation of split frequencies: 0.011649
411000 -- (-3628.063) [-3628.869] (-3654.675) (-3635.840) * (-3641.492) (-3639.485) (-3645.729) [-3624.730] -- 0:11:33
412000 -- (-3635.742) (-3650.816) [-3641.002] (-3624.133) * (-3656.577) [-3626.609] (-3627.188) (-3631.719) -- 0:11:32
413000 -- (-3632.477) (-3629.177) [-3624.325] (-3630.689) * (-3630.503) (-3633.919) (-3636.662) [-3627.214] -- 0:11:32
414000 -- [-3632.974] (-3650.831) (-3627.039) (-3628.979) * (-3627.099) (-3635.096) (-3641.172) [-3641.037] -- 0:11:30
415000 -- [-3626.703] (-3628.830) (-3635.516) (-3641.875) * (-3629.919) [-3625.310] (-3624.520) (-3641.863) -- 0:11:29
Average standard deviation of split frequencies: 0.012294
416000 -- (-3636.321) (-3638.457) [-3632.993] (-3630.097) * [-3649.376] (-3647.635) (-3631.303) (-3632.017) -- 0:11:27
417000 -- (-3650.529) [-3617.372] (-3642.034) (-3639.247) * [-3628.970] (-3630.705) (-3642.247) (-3647.852) -- 0:11:26
418000 -- (-3642.898) [-3621.135] (-3635.781) (-3644.918) * (-3620.445) (-3629.059) [-3636.257] (-3651.296) -- 0:11:25
419000 -- [-3628.645] (-3620.010) (-3631.456) (-3642.602) * (-3634.632) (-3645.274) [-3631.013] (-3642.956) -- 0:11:24
420000 -- [-3625.980] (-3614.180) (-3619.214) (-3638.753) * (-3633.920) (-3634.760) (-3630.333) [-3632.625] -- 0:11:23
Average standard deviation of split frequencies: 0.011544
421000 -- (-3628.834) (-3636.873) [-3620.603] (-3637.463) * (-3636.156) (-3658.424) [-3632.050] (-3637.095) -- 0:11:22
422000 -- [-3632.381] (-3642.891) (-3628.661) (-3636.548) * (-3642.954) (-3634.774) (-3622.522) [-3625.849] -- 0:11:20
423000 -- [-3632.335] (-3622.823) (-3637.501) (-3633.120) * (-3646.400) (-3627.414) [-3629.173] (-3636.576) -- 0:11:19
424000 -- (-3664.621) [-3627.262] (-3633.706) (-3618.743) * [-3615.626] (-3635.952) (-3639.751) (-3647.927) -- 0:11:19
425000 -- [-3635.977] (-3632.849) (-3653.957) (-3654.229) * (-3626.701) [-3619.006] (-3645.535) (-3637.436) -- 0:11:17
Average standard deviation of split frequencies: 0.011227
426000 -- (-3643.149) (-3640.510) [-3618.240] (-3633.742) * (-3621.894) [-3625.777] (-3633.581) (-3656.003) -- 0:11:16
427000 -- (-3638.120) (-3650.650) [-3633.965] (-3636.512) * [-3622.227] (-3635.659) (-3636.326) (-3648.399) -- 0:11:14
428000 -- (-3635.575) [-3636.060] (-3660.579) (-3639.290) * [-3633.618] (-3641.745) (-3638.864) (-3656.076) -- 0:11:13
429000 -- (-3631.901) [-3642.071] (-3641.135) (-3645.168) * (-3655.915) [-3624.184] (-3623.851) (-3639.479) -- 0:11:12
430000 -- (-3629.657) (-3633.573) (-3635.958) [-3635.922] * (-3634.139) (-3636.108) [-3627.154] (-3639.080) -- 0:11:10
Average standard deviation of split frequencies: 0.011635
431000 -- (-3642.363) (-3627.070) [-3622.183] (-3639.305) * (-3635.000) (-3631.032) (-3652.065) [-3643.159] -- 0:11:10
432000 -- (-3648.990) (-3631.530) [-3630.747] (-3636.315) * (-3648.174) (-3637.277) (-3642.990) [-3624.076] -- 0:11:09
433000 -- [-3635.385] (-3633.113) (-3634.987) (-3629.528) * (-3622.780) (-3635.041) (-3636.762) [-3630.320] -- 0:11:07
434000 -- (-3632.081) (-3626.176) (-3639.167) [-3623.567] * (-3646.442) (-3630.463) (-3651.408) [-3622.665] -- 0:11:06
435000 -- [-3623.786] (-3631.477) (-3629.149) (-3628.740) * (-3620.971) (-3646.399) (-3659.523) [-3618.791] -- 0:11:05
Average standard deviation of split frequencies: 0.011533
436000 -- (-3630.425) (-3630.536) (-3627.922) [-3642.963] * (-3632.260) (-3654.534) [-3625.184] (-3642.886) -- 0:11:03
437000 -- (-3639.923) (-3618.865) (-3629.288) [-3640.120] * (-3625.692) (-3630.772) (-3628.564) [-3627.188] -- 0:11:03
438000 -- [-3629.345] (-3622.107) (-3640.142) (-3635.537) * [-3621.904] (-3650.868) (-3643.714) (-3630.302) -- 0:11:02
439000 -- [-3625.567] (-3624.060) (-3641.064) (-3638.068) * [-3627.119] (-3635.281) (-3622.504) (-3649.603) -- 0:11:00
440000 -- (-3648.098) (-3630.435) (-3635.548) [-3639.276] * (-3628.282) (-3620.691) [-3630.847] (-3648.155) -- 0:10:59
Average standard deviation of split frequencies: 0.011391
441000 -- (-3640.057) (-3641.664) (-3639.546) [-3618.928] * (-3639.211) (-3623.830) (-3651.297) [-3631.451] -- 0:10:57
442000 -- [-3625.092] (-3635.736) (-3628.752) (-3638.089) * (-3637.734) (-3630.744) (-3643.436) [-3628.372] -- 0:10:56
443000 -- (-3648.897) (-3625.144) (-3625.698) [-3642.244] * (-3638.646) (-3636.701) (-3624.442) [-3628.436] -- 0:10:56
444000 -- (-3638.319) [-3638.775] (-3636.955) (-3637.017) * [-3639.846] (-3657.071) (-3661.792) (-3637.914) -- 0:10:54
445000 -- (-3623.559) (-3639.135) [-3638.921] (-3642.488) * (-3640.776) (-3640.495) (-3652.572) [-3620.128] -- 0:10:53
Average standard deviation of split frequencies: 0.011157
446000 -- [-3630.423] (-3634.180) (-3632.500) (-3633.877) * [-3626.063] (-3635.962) (-3623.647) (-3632.395) -- 0:10:52
447000 -- [-3629.535] (-3626.627) (-3640.279) (-3627.481) * (-3642.566) (-3630.640) [-3620.978] (-3639.507) -- 0:10:50
448000 -- (-3639.751) (-3623.710) (-3649.659) [-3628.168] * (-3632.413) [-3636.026] (-3645.554) (-3637.136) -- 0:10:49
449000 -- (-3658.227) (-3637.060) (-3645.236) [-3635.521] * (-3642.820) [-3621.333] (-3634.490) (-3634.121) -- 0:10:49
450000 -- (-3631.431) (-3632.621) [-3622.829] (-3644.078) * (-3649.905) [-3635.005] (-3633.903) (-3634.416) -- 0:10:47
Average standard deviation of split frequencies: 0.011126
451000 -- (-3641.396) (-3632.874) [-3633.207] (-3642.092) * (-3623.344) (-3625.096) (-3645.135) [-3615.660] -- 0:10:46
452000 -- (-3637.488) [-3628.609] (-3647.099) (-3647.719) * (-3620.175) [-3637.887] (-3620.498) (-3634.770) -- 0:10:44
453000 -- (-3641.673) (-3635.865) (-3629.498) [-3638.272] * [-3628.124] (-3627.887) (-3640.707) (-3646.611) -- 0:10:43
454000 -- (-3631.672) (-3637.189) [-3632.054] (-3632.948) * (-3651.257) (-3634.770) (-3631.207) [-3628.410] -- 0:10:43
455000 -- (-3630.119) [-3630.356] (-3627.090) (-3628.601) * (-3632.352) (-3636.416) (-3654.682) [-3621.871] -- 0:10:42
Average standard deviation of split frequencies: 0.010601
456000 -- (-3626.054) [-3626.700] (-3624.044) (-3635.685) * (-3635.736) (-3648.431) (-3641.556) [-3614.023] -- 0:10:40
457000 -- [-3634.234] (-3628.575) (-3632.656) (-3639.916) * (-3626.601) (-3634.169) (-3634.342) [-3629.895] -- 0:10:39
458000 -- (-3639.736) (-3627.084) [-3626.420] (-3650.563) * [-3630.710] (-3646.849) (-3637.276) (-3629.944) -- 0:10:37
459000 -- (-3629.643) (-3637.009) [-3620.700] (-3638.184) * (-3648.552) [-3632.777] (-3649.046) (-3624.638) -- 0:10:37
460000 -- (-3649.628) (-3635.654) [-3625.122] (-3643.255) * (-3642.817) (-3634.496) [-3635.130] (-3629.713) -- 0:10:36
Average standard deviation of split frequencies: 0.010438
461000 -- [-3623.298] (-3631.899) (-3629.764) (-3639.806) * (-3645.531) (-3641.928) [-3620.966] (-3635.286) -- 0:10:34
462000 -- (-3635.285) (-3654.845) [-3620.342] (-3636.277) * (-3629.995) (-3650.728) (-3647.883) [-3625.152] -- 0:10:33
463000 -- (-3623.229) (-3656.234) (-3631.001) [-3629.712] * [-3622.343] (-3633.841) (-3655.027) (-3620.388) -- 0:10:32
464000 -- (-3643.881) [-3631.503] (-3642.716) (-3626.966) * (-3647.509) [-3620.351] (-3650.401) (-3631.735) -- 0:10:30
465000 -- (-3625.633) [-3626.910] (-3643.300) (-3633.890) * (-3649.619) (-3629.910) (-3631.251) [-3632.682] -- 0:10:30
Average standard deviation of split frequencies: 0.010723
466000 -- (-3628.525) [-3632.069] (-3663.798) (-3640.724) * (-3638.270) (-3640.137) (-3641.745) [-3615.945] -- 0:10:29
467000 -- (-3632.231) [-3628.827] (-3652.667) (-3630.756) * (-3644.935) (-3620.341) (-3635.220) [-3635.693] -- 0:10:27
468000 -- (-3632.945) [-3615.198] (-3650.347) (-3616.339) * (-3635.661) (-3643.595) [-3629.923] (-3642.302) -- 0:10:26
469000 -- (-3644.954) [-3627.517] (-3633.671) (-3623.402) * (-3629.225) [-3634.723] (-3636.837) (-3630.768) -- 0:10:24
470000 -- [-3630.075] (-3622.414) (-3630.967) (-3649.010) * (-3629.529) [-3626.126] (-3644.298) (-3632.394) -- 0:10:24
Average standard deviation of split frequencies: 0.010781
471000 -- (-3620.211) (-3638.690) [-3630.308] (-3645.443) * (-3636.453) [-3625.104] (-3622.344) (-3630.700) -- 0:10:23
472000 -- [-3627.171] (-3640.674) (-3627.494) (-3659.529) * [-3633.319] (-3636.866) (-3636.222) (-3629.571) -- 0:10:21
473000 -- (-3637.489) (-3625.956) [-3618.063] (-3633.332) * [-3634.084] (-3632.617) (-3632.307) (-3637.584) -- 0:10:20
474000 -- [-3630.085] (-3642.053) (-3622.635) (-3639.823) * [-3632.080] (-3641.784) (-3640.660) (-3639.875) -- 0:10:19
475000 -- [-3633.468] (-3630.702) (-3626.274) (-3625.705) * [-3618.237] (-3642.128) (-3654.900) (-3635.629) -- 0:10:18
Average standard deviation of split frequencies: 0.010732
476000 -- [-3622.512] (-3637.918) (-3630.532) (-3628.456) * (-3621.487) (-3642.786) (-3632.853) [-3639.465] -- 0:10:17
477000 -- (-3633.371) (-3635.916) (-3643.410) [-3628.419] * (-3642.681) [-3626.436] (-3636.744) (-3627.823) -- 0:10:16
478000 -- (-3626.639) (-3643.391) (-3622.015) [-3622.477] * (-3635.551) [-3631.419] (-3631.597) (-3635.946) -- 0:10:14
479000 -- (-3631.187) [-3636.521] (-3627.746) (-3637.087) * (-3636.549) (-3629.894) (-3656.761) [-3622.923] -- 0:10:13
480000 -- (-3641.142) (-3625.777) (-3626.650) [-3627.215] * (-3626.004) (-3627.408) (-3639.105) [-3621.986] -- 0:10:12
Average standard deviation of split frequencies: 0.010752
481000 -- (-3639.539) [-3623.646] (-3633.239) (-3631.770) * (-3630.388) (-3640.786) (-3626.478) [-3622.070] -- 0:10:11
482000 -- [-3640.716] (-3631.763) (-3630.225) (-3631.837) * [-3623.710] (-3645.911) (-3646.182) (-3627.863) -- 0:10:10
483000 -- (-3638.861) (-3629.035) [-3620.383] (-3623.191) * (-3633.281) (-3641.901) [-3639.411] (-3631.929) -- 0:10:09
484000 -- (-3629.582) [-3622.501] (-3632.405) (-3634.279) * (-3644.478) (-3637.803) [-3637.808] (-3638.582) -- 0:10:07
485000 -- (-3636.368) (-3629.193) (-3642.359) [-3640.398] * (-3637.936) (-3642.209) [-3626.238] (-3641.982) -- 0:10:06
Average standard deviation of split frequencies: 0.010564
486000 -- [-3624.148] (-3630.666) (-3636.143) (-3637.067) * (-3634.405) (-3632.137) [-3626.467] (-3629.787) -- 0:10:04
487000 -- [-3625.217] (-3635.115) (-3642.555) (-3636.989) * (-3659.774) (-3634.973) [-3627.489] (-3642.304) -- 0:10:04
488000 -- (-3649.155) (-3628.787) (-3647.564) [-3618.915] * (-3633.044) (-3635.250) (-3634.805) [-3640.885] -- 0:10:03
489000 -- [-3630.650] (-3636.122) (-3654.476) (-3634.131) * (-3629.180) [-3625.540] (-3637.087) (-3619.228) -- 0:10:01
490000 -- [-3628.111] (-3629.221) (-3644.770) (-3635.303) * (-3640.684) (-3635.057) (-3644.256) [-3622.974] -- 0:10:00
Average standard deviation of split frequencies: 0.010621
491000 -- (-3624.445) (-3630.894) [-3626.838] (-3634.359) * (-3665.490) [-3636.255] (-3639.985) (-3633.814) -- 0:09:59
492000 -- [-3632.725] (-3647.499) (-3638.251) (-3629.028) * (-3625.264) (-3635.903) [-3631.061] (-3625.368) -- 0:09:57
493000 -- (-3629.784) (-3635.108) (-3630.122) [-3632.011] * [-3623.066] (-3653.070) (-3623.156) (-3632.396) -- 0:09:57
494000 -- (-3627.915) (-3651.645) [-3625.115] (-3627.879) * [-3631.412] (-3647.726) (-3626.612) (-3622.857) -- 0:09:56
495000 -- (-3632.155) (-3621.717) [-3632.173] (-3634.850) * (-3626.283) (-3646.017) [-3637.004] (-3627.924) -- 0:09:54
Average standard deviation of split frequencies: 0.010558
496000 -- [-3620.127] (-3643.500) (-3642.300) (-3628.325) * (-3628.588) (-3646.753) [-3635.144] (-3645.934) -- 0:09:53
497000 -- (-3627.924) (-3647.687) (-3639.842) [-3634.068] * (-3639.193) [-3632.186] (-3634.103) (-3640.333) -- 0:09:52
498000 -- (-3651.109) [-3639.149] (-3640.280) (-3656.850) * (-3633.801) (-3642.156) (-3633.300) [-3632.409] -- 0:09:50
499000 -- (-3627.807) [-3643.527] (-3647.327) (-3661.851) * (-3629.067) (-3639.973) [-3617.416] (-3621.225) -- 0:09:50
500000 -- [-3624.139] (-3636.504) (-3633.344) (-3661.300) * (-3625.763) (-3627.434) (-3635.209) [-3613.960] -- 0:09:49
Average standard deviation of split frequencies: 0.010289
501000 -- (-3638.593) [-3622.676] (-3628.542) (-3657.124) * [-3624.844] (-3644.582) (-3630.241) (-3620.571) -- 0:09:47
502000 -- (-3627.632) (-3623.499) [-3633.135] (-3648.310) * [-3623.964] (-3629.602) (-3635.259) (-3638.740) -- 0:09:46
503000 -- (-3647.595) [-3625.355] (-3641.361) (-3633.360) * (-3631.668) (-3651.219) [-3626.350] (-3637.355) -- 0:09:44
504000 -- (-3653.071) (-3636.649) [-3618.502] (-3642.436) * (-3647.814) (-3634.324) (-3638.717) [-3620.897] -- 0:09:43
505000 -- (-3652.086) [-3617.234] (-3645.376) (-3623.208) * [-3628.159] (-3644.231) (-3639.143) (-3633.964) -- 0:09:42
Average standard deviation of split frequencies: 0.010180
506000 -- (-3632.205) [-3633.955] (-3639.650) (-3632.500) * (-3626.995) (-3636.901) (-3646.443) [-3630.030] -- 0:09:41
507000 -- (-3648.283) [-3623.837] (-3642.162) (-3640.242) * [-3621.872] (-3636.620) (-3620.388) (-3633.781) -- 0:09:40
508000 -- (-3643.224) (-3628.243) (-3626.614) [-3628.084] * (-3629.073) [-3617.319] (-3631.613) (-3646.090) -- 0:09:39
509000 -- (-3642.392) [-3618.311] (-3634.612) (-3639.963) * (-3625.922) [-3631.633] (-3634.158) (-3644.671) -- 0:09:37
510000 -- (-3619.930) (-3636.883) [-3631.283] (-3631.316) * [-3620.390] (-3642.389) (-3619.583) (-3643.103) -- 0:09:36
Average standard deviation of split frequencies: 0.010238
511000 -- (-3631.431) (-3641.936) (-3638.551) [-3632.244] * (-3635.824) (-3650.555) [-3638.355] (-3629.424) -- 0:09:35
512000 -- (-3624.654) (-3652.371) (-3627.223) [-3632.692] * (-3642.577) [-3636.311] (-3629.263) (-3632.178) -- 0:09:34
513000 -- (-3626.182) (-3644.313) [-3630.770] (-3638.323) * (-3639.125) [-3629.564] (-3632.429) (-3638.696) -- 0:09:33
514000 -- (-3641.339) (-3640.520) [-3630.003] (-3639.995) * (-3642.460) [-3634.384] (-3622.085) (-3637.575) -- 0:09:32
515000 -- (-3625.555) (-3640.408) (-3629.235) [-3627.994] * (-3630.317) [-3617.731] (-3651.882) (-3636.857) -- 0:09:30
Average standard deviation of split frequencies: 0.009784
516000 -- [-3627.338] (-3637.725) (-3628.179) (-3616.183) * [-3636.580] (-3635.471) (-3651.874) (-3630.332) -- 0:09:29
517000 -- [-3641.858] (-3633.775) (-3639.765) (-3634.129) * (-3632.750) [-3625.556] (-3624.686) (-3637.601) -- 0:09:28
518000 -- [-3631.684] (-3641.960) (-3624.920) (-3631.987) * (-3650.135) (-3628.835) [-3630.038] (-3630.186) -- 0:09:27
519000 -- (-3634.878) [-3631.681] (-3625.733) (-3629.144) * (-3635.572) [-3630.512] (-3624.551) (-3633.728) -- 0:09:26
520000 -- (-3625.736) (-3643.671) (-3633.065) [-3626.771] * (-3630.596) (-3647.400) (-3622.176) [-3633.323] -- 0:09:24
Average standard deviation of split frequencies: 0.009564
521000 -- (-3638.130) (-3634.987) [-3630.000] (-3642.917) * (-3645.863) [-3626.780] (-3647.493) (-3638.145) -- 0:09:23
522000 -- (-3619.648) (-3625.065) [-3627.387] (-3625.899) * (-3633.513) (-3631.418) (-3639.394) [-3625.946] -- 0:09:22
523000 -- (-3632.831) (-3624.690) [-3632.738] (-3628.522) * (-3631.799) (-3635.846) [-3630.801] (-3633.723) -- 0:09:21
524000 -- [-3630.814] (-3627.414) (-3634.344) (-3628.641) * (-3636.837) (-3648.040) [-3637.644] (-3638.343) -- 0:09:20
525000 -- (-3646.084) (-3646.232) [-3632.544] (-3635.828) * (-3632.815) (-3633.150) (-3624.604) [-3632.878] -- 0:09:19
Average standard deviation of split frequencies: 0.009122
526000 -- (-3631.555) (-3634.814) [-3623.546] (-3632.360) * [-3632.830] (-3632.054) (-3629.124) (-3633.088) -- 0:09:17
527000 -- (-3620.140) (-3645.600) [-3633.594] (-3632.031) * (-3634.749) [-3626.173] (-3619.300) (-3642.454) -- 0:09:16
528000 -- [-3624.624] (-3646.686) (-3626.042) (-3645.014) * (-3631.293) (-3647.139) [-3619.003] (-3627.400) -- 0:09:16
529000 -- (-3630.658) (-3642.917) [-3626.351] (-3642.610) * [-3618.602] (-3625.306) (-3644.482) (-3636.323) -- 0:09:14
530000 -- [-3628.689] (-3645.470) (-3642.090) (-3654.866) * (-3637.267) (-3625.295) [-3624.182] (-3637.808) -- 0:09:13
Average standard deviation of split frequencies: 0.009174
531000 -- (-3642.608) [-3622.801] (-3634.952) (-3633.527) * (-3640.886) [-3625.506] (-3636.405) (-3625.685) -- 0:09:12
532000 -- (-3645.690) [-3620.019] (-3625.278) (-3639.287) * (-3632.344) [-3609.707] (-3633.233) (-3632.417) -- 0:09:10
533000 -- [-3634.859] (-3641.475) (-3652.630) (-3626.682) * (-3631.165) [-3635.264] (-3630.864) (-3621.779) -- 0:09:09
534000 -- (-3641.370) (-3629.619) [-3629.937] (-3623.919) * (-3650.720) [-3622.252] (-3628.663) (-3636.418) -- 0:09:08
535000 -- [-3626.871] (-3638.327) (-3634.172) (-3643.275) * (-3621.722) [-3617.962] (-3641.596) (-3628.545) -- 0:09:07
Average standard deviation of split frequencies: 0.008843
536000 -- (-3631.920) (-3638.159) [-3626.214] (-3628.103) * [-3620.431] (-3634.008) (-3633.324) (-3649.067) -- 0:09:06
537000 -- (-3659.405) [-3632.199] (-3627.744) (-3629.552) * (-3640.839) (-3621.386) (-3635.112) [-3625.992] -- 0:09:04
538000 -- [-3628.429] (-3637.959) (-3648.585) (-3636.458) * (-3623.578) (-3629.566) (-3643.414) [-3624.842] -- 0:09:03
539000 -- [-3633.873] (-3630.346) (-3635.967) (-3634.026) * (-3639.567) [-3627.223] (-3644.185) (-3628.322) -- 0:09:03
540000 -- (-3646.517) (-3629.751) (-3635.194) [-3633.173] * [-3626.204] (-3633.752) (-3642.150) (-3634.094) -- 0:09:01
Average standard deviation of split frequencies: 0.008434
541000 -- (-3640.017) (-3652.678) [-3628.471] (-3630.946) * [-3634.821] (-3626.407) (-3628.891) (-3638.943) -- 0:09:00
542000 -- (-3646.381) (-3633.896) (-3637.245) [-3626.123] * (-3634.740) (-3631.511) (-3633.260) [-3637.427] -- 0:08:59
543000 -- (-3637.496) (-3645.015) [-3632.627] (-3632.814) * (-3642.736) (-3628.420) (-3645.996) [-3622.396] -- 0:08:57
544000 -- (-3631.500) [-3631.635] (-3636.437) (-3633.487) * (-3634.715) [-3623.727] (-3640.736) (-3641.598) -- 0:08:56
545000 -- [-3631.744] (-3640.990) (-3632.454) (-3637.565) * (-3647.348) (-3627.732) [-3642.534] (-3634.490) -- 0:08:55
Average standard deviation of split frequencies: 0.008110
546000 -- (-3640.428) [-3627.260] (-3638.150) (-3648.548) * (-3643.929) (-3622.115) (-3634.820) [-3633.050] -- 0:08:54
547000 -- (-3641.859) [-3629.396] (-3632.678) (-3658.987) * [-3624.508] (-3644.612) (-3654.023) (-3643.131) -- 0:08:53
548000 -- (-3626.493) [-3636.305] (-3647.749) (-3637.970) * [-3625.324] (-3638.504) (-3630.172) (-3643.466) -- 0:08:52
549000 -- (-3636.475) [-3621.511] (-3645.812) (-3632.226) * (-3626.824) (-3639.472) (-3642.780) [-3632.171] -- 0:08:50
550000 -- [-3631.984] (-3635.197) (-3635.089) (-3626.021) * [-3621.461] (-3642.072) (-3631.479) (-3616.601) -- 0:08:49
Average standard deviation of split frequencies: 0.007613
551000 -- (-3641.557) (-3649.770) (-3632.307) [-3620.967] * (-3639.357) (-3636.250) (-3642.274) [-3622.883] -- 0:08:48
552000 -- (-3637.896) (-3631.320) [-3620.726] (-3626.460) * (-3629.958) (-3644.418) (-3647.515) [-3615.426] -- 0:08:47
553000 -- (-3630.800) (-3638.615) [-3625.569] (-3628.872) * (-3630.476) [-3625.466] (-3651.119) (-3633.735) -- 0:08:46
554000 -- (-3646.096) [-3630.700] (-3623.232) (-3638.178) * (-3646.360) (-3640.979) [-3640.242] (-3638.965) -- 0:08:44
555000 -- (-3646.371) (-3638.854) (-3635.161) [-3629.638] * (-3636.810) (-3634.737) (-3632.156) [-3621.085] -- 0:08:43
Average standard deviation of split frequencies: 0.007737
556000 -- (-3638.565) [-3625.594] (-3624.249) (-3619.254) * [-3631.163] (-3642.231) (-3622.486) (-3642.529) -- 0:08:43
557000 -- (-3620.007) (-3630.909) [-3624.136] (-3625.764) * (-3631.710) [-3635.369] (-3639.567) (-3643.230) -- 0:08:41
558000 -- (-3625.799) (-3630.132) [-3625.729] (-3631.637) * [-3622.511] (-3621.682) (-3652.282) (-3634.883) -- 0:08:40
559000 -- [-3628.712] (-3650.856) (-3630.158) (-3630.379) * (-3644.574) (-3630.296) (-3645.716) [-3629.732] -- 0:08:39
560000 -- [-3623.238] (-3658.067) (-3634.288) (-3650.174) * (-3619.606) [-3630.400] (-3636.508) (-3653.729) -- 0:08:37
Average standard deviation of split frequencies: 0.007267
561000 -- (-3627.131) (-3638.624) (-3642.133) [-3641.309] * (-3629.220) [-3625.109] (-3636.783) (-3629.295) -- 0:08:36
562000 -- [-3626.764] (-3643.097) (-3638.715) (-3634.235) * (-3638.214) [-3630.885] (-3633.667) (-3654.032) -- 0:08:35
563000 -- [-3639.621] (-3624.423) (-3642.419) (-3650.336) * (-3632.116) (-3631.385) [-3625.061] (-3655.051) -- 0:08:34
564000 -- [-3626.903] (-3640.035) (-3643.907) (-3631.928) * (-3631.108) (-3633.224) [-3622.672] (-3636.073) -- 0:08:33
565000 -- [-3623.897] (-3633.431) (-3644.019) (-3637.793) * [-3625.942] (-3630.179) (-3637.776) (-3629.921) -- 0:08:31
Average standard deviation of split frequencies: 0.007109
566000 -- [-3617.997] (-3640.120) (-3627.187) (-3635.544) * (-3639.994) [-3628.774] (-3663.240) (-3633.611) -- 0:08:30
567000 -- [-3622.097] (-3638.062) (-3629.215) (-3629.998) * (-3634.777) (-3634.796) (-3649.451) [-3627.475] -- 0:08:29
568000 -- (-3635.281) (-3644.316) (-3633.643) [-3640.945] * [-3637.451] (-3632.486) (-3641.097) (-3623.511) -- 0:08:28
569000 -- (-3625.424) (-3637.947) [-3628.729] (-3632.175) * [-3632.685] (-3631.860) (-3635.308) (-3644.801) -- 0:08:27
570000 -- [-3625.027] (-3638.607) (-3637.762) (-3640.490) * [-3625.203] (-3632.889) (-3658.489) (-3630.997) -- 0:08:26
Average standard deviation of split frequencies: 0.007104
571000 -- (-3630.552) (-3629.230) [-3633.986] (-3646.958) * (-3641.476) [-3615.787] (-3629.966) (-3624.974) -- 0:08:24
572000 -- (-3644.999) (-3625.780) [-3623.964] (-3638.233) * (-3644.872) (-3627.082) [-3631.027] (-3629.646) -- 0:08:23
573000 -- (-3636.720) (-3639.431) [-3615.747] (-3637.691) * [-3629.712] (-3626.475) (-3649.464) (-3631.614) -- 0:08:22
574000 -- (-3628.823) (-3621.969) (-3635.984) [-3626.898] * (-3648.089) [-3629.454] (-3638.636) (-3629.853) -- 0:08:21
575000 -- (-3647.125) (-3621.642) (-3625.503) [-3629.286] * (-3629.025) (-3639.073) (-3637.756) [-3629.021] -- 0:08:20
Average standard deviation of split frequencies: 0.007038
576000 -- (-3642.623) (-3638.654) [-3622.195] (-3629.308) * (-3630.060) (-3644.702) [-3619.370] (-3627.312) -- 0:08:19
577000 -- [-3626.183] (-3633.700) (-3642.268) (-3639.252) * (-3644.685) (-3638.680) [-3619.630] (-3643.039) -- 0:08:17
578000 -- (-3631.968) (-3630.531) [-3624.272] (-3631.935) * [-3635.577] (-3631.117) (-3646.911) (-3642.501) -- 0:08:16
579000 -- (-3636.329) (-3630.698) (-3628.798) [-3628.257] * [-3631.237] (-3638.901) (-3639.017) (-3654.127) -- 0:08:15
580000 -- (-3629.080) (-3651.927) (-3627.157) [-3629.839] * (-3626.739) (-3628.418) [-3622.259] (-3637.934) -- 0:08:14
Average standard deviation of split frequencies: 0.006923
581000 -- (-3643.529) [-3624.028] (-3637.179) (-3627.614) * (-3638.684) [-3622.108] (-3639.610) (-3643.471) -- 0:08:13
582000 -- (-3650.881) (-3626.674) (-3633.925) [-3626.054] * (-3642.212) (-3655.313) (-3646.695) [-3635.805] -- 0:08:11
583000 -- (-3660.393) (-3625.620) (-3630.430) [-3634.261] * (-3638.993) (-3656.546) (-3636.251) [-3623.940] -- 0:08:10
584000 -- (-3638.496) (-3650.309) (-3645.797) [-3629.929] * (-3632.383) (-3645.501) (-3630.902) [-3624.368] -- 0:08:09
585000 -- (-3638.427) (-3628.780) (-3623.758) [-3622.240] * (-3633.570) (-3645.521) (-3639.066) [-3631.079] -- 0:08:08
Average standard deviation of split frequencies: 0.006816
586000 -- (-3632.087) (-3644.927) (-3635.342) [-3625.270] * (-3624.368) (-3630.310) [-3632.195] (-3672.151) -- 0:08:07
587000 -- (-3644.917) (-3630.274) [-3623.101] (-3632.261) * (-3625.567) [-3630.395] (-3644.504) (-3634.431) -- 0:08:06
588000 -- (-3629.536) [-3624.175] (-3638.289) (-3637.754) * (-3630.526) (-3658.642) [-3634.336] (-3652.056) -- 0:08:04
589000 -- (-3634.580) [-3623.942] (-3621.783) (-3619.416) * (-3630.682) (-3635.940) (-3639.104) [-3626.510] -- 0:08:03
590000 -- (-3630.097) (-3639.528) [-3638.238] (-3624.189) * (-3636.228) (-3641.493) [-3629.513] (-3656.160) -- 0:08:02
Average standard deviation of split frequencies: 0.006835
591000 -- (-3636.022) (-3626.694) (-3628.396) [-3632.397] * (-3636.096) (-3633.502) [-3622.096] (-3653.613) -- 0:08:01
592000 -- (-3640.384) (-3643.090) [-3630.817] (-3635.806) * (-3627.232) [-3636.119] (-3635.776) (-3621.693) -- 0:08:00
593000 -- (-3646.241) (-3631.036) (-3633.691) [-3625.639] * (-3632.896) [-3632.150] (-3651.517) (-3630.186) -- 0:07:59
594000 -- (-3634.868) (-3639.920) (-3643.034) [-3626.892] * (-3630.288) (-3633.923) (-3659.538) [-3631.462] -- 0:07:57
595000 -- (-3627.299) (-3643.555) (-3638.591) [-3627.663] * (-3631.607) (-3640.185) (-3654.506) [-3621.222] -- 0:07:56
Average standard deviation of split frequencies: 0.006932
596000 -- (-3625.154) [-3637.905] (-3636.747) (-3656.506) * [-3628.622] (-3651.243) (-3640.530) (-3629.577) -- 0:07:55
597000 -- (-3644.289) (-3628.537) (-3645.139) [-3627.113] * [-3633.941] (-3642.815) (-3632.094) (-3625.142) -- 0:07:54
598000 -- (-3642.550) (-3630.569) [-3621.651] (-3630.435) * [-3628.737] (-3641.243) (-3632.014) (-3637.081) -- 0:07:53
599000 -- (-3638.957) (-3621.489) (-3642.677) [-3625.471] * (-3632.855) (-3639.868) (-3627.578) [-3622.201] -- 0:07:51
600000 -- (-3641.047) [-3620.550] (-3634.963) (-3619.953) * [-3624.900] (-3660.380) (-3631.958) (-3628.690) -- 0:07:50
Average standard deviation of split frequencies: 0.006783
601000 -- (-3637.593) (-3627.147) [-3628.782] (-3640.144) * (-3636.276) (-3647.538) [-3641.407] (-3622.237) -- 0:07:49
602000 -- [-3631.313] (-3645.184) (-3637.309) (-3635.562) * [-3629.703] (-3646.019) (-3626.238) (-3637.267) -- 0:07:48
603000 -- (-3634.864) (-3638.565) [-3648.009] (-3641.140) * (-3658.942) (-3634.089) [-3627.540] (-3636.103) -- 0:07:47
604000 -- (-3633.425) (-3647.588) [-3625.707] (-3637.526) * (-3621.541) (-3642.667) (-3623.953) [-3618.634] -- 0:07:46
605000 -- (-3634.274) (-3652.374) (-3640.909) [-3620.688] * (-3647.123) (-3647.528) (-3632.265) [-3621.577] -- 0:07:44
Average standard deviation of split frequencies: 0.006682
606000 -- (-3624.714) (-3631.780) [-3637.433] (-3631.726) * (-3641.059) (-3629.179) (-3637.230) [-3629.265] -- 0:07:43
607000 -- (-3632.158) (-3631.371) (-3633.753) [-3634.415] * (-3641.544) (-3618.623) [-3646.607] (-3632.544) -- 0:07:42
608000 -- (-3632.413) (-3629.079) (-3646.280) [-3639.182] * (-3640.841) [-3621.426] (-3625.424) (-3638.261) -- 0:07:41
609000 -- [-3626.184] (-3645.347) (-3637.910) (-3617.696) * (-3634.127) [-3621.698] (-3637.891) (-3637.609) -- 0:07:40
610000 -- (-3627.806) (-3629.743) (-3650.208) [-3622.245] * [-3632.424] (-3636.032) (-3648.472) (-3635.446) -- 0:07:39
Average standard deviation of split frequencies: 0.006534
611000 -- (-3628.967) [-3632.439] (-3628.769) (-3642.876) * (-3621.613) (-3631.342) (-3633.403) [-3633.321] -- 0:07:37
612000 -- (-3646.160) [-3625.845] (-3636.492) (-3644.074) * (-3648.998) (-3643.343) [-3632.618] (-3632.361) -- 0:07:36
613000 -- [-3619.877] (-3628.149) (-3642.007) (-3635.082) * (-3630.523) [-3632.560] (-3625.819) (-3660.093) -- 0:07:35
614000 -- (-3634.698) (-3623.803) (-3635.016) [-3628.869] * [-3627.449] (-3643.508) (-3633.539) (-3656.174) -- 0:07:34
615000 -- (-3634.304) [-3636.089] (-3628.030) (-3632.202) * (-3638.261) (-3635.438) [-3626.134] (-3639.295) -- 0:07:33
Average standard deviation of split frequencies: 0.006395
616000 -- (-3640.946) [-3627.376] (-3641.885) (-3626.104) * (-3627.522) (-3644.440) [-3638.109] (-3643.536) -- 0:07:31
617000 -- (-3635.671) (-3634.701) (-3632.240) [-3624.745] * (-3625.536) [-3618.123] (-3629.335) (-3642.229) -- 0:07:30
618000 -- (-3628.168) [-3629.291] (-3632.050) (-3632.758) * (-3644.061) (-3640.109) (-3630.534) [-3627.930] -- 0:07:29
619000 -- (-3637.907) (-3635.240) (-3630.488) [-3630.306] * (-3636.045) [-3632.703] (-3633.733) (-3634.402) -- 0:07:28
620000 -- (-3630.506) [-3629.794] (-3647.892) (-3632.443) * (-3632.974) [-3614.950] (-3634.538) (-3643.153) -- 0:07:27
Average standard deviation of split frequencies: 0.006551
621000 -- (-3652.174) (-3636.037) [-3626.470] (-3636.409) * [-3622.756] (-3621.048) (-3647.941) (-3633.229) -- 0:07:26
622000 -- (-3628.778) (-3638.422) [-3621.356] (-3647.040) * (-3642.225) (-3634.214) (-3634.591) [-3633.583] -- 0:07:24
623000 -- (-3639.291) (-3627.546) (-3613.099) [-3634.949] * (-3631.231) (-3633.893) [-3621.917] (-3636.109) -- 0:07:23
624000 -- [-3628.520] (-3625.929) (-3643.139) (-3640.137) * (-3622.327) (-3622.130) [-3614.990] (-3642.156) -- 0:07:22
625000 -- [-3624.863] (-3636.193) (-3631.654) (-3624.521) * (-3633.206) [-3619.735] (-3628.968) (-3636.695) -- 0:07:21
Average standard deviation of split frequencies: 0.006441
626000 -- [-3629.990] (-3629.210) (-3652.856) (-3637.490) * (-3617.864) (-3639.719) (-3629.161) [-3620.439] -- 0:07:20
627000 -- [-3637.289] (-3640.805) (-3634.105) (-3630.339) * (-3633.399) (-3634.549) (-3638.163) [-3626.127] -- 0:07:19
628000 -- [-3633.288] (-3621.477) (-3627.132) (-3639.855) * (-3637.334) [-3628.855] (-3634.037) (-3648.856) -- 0:07:17
629000 -- (-3654.440) [-3635.375] (-3631.352) (-3649.880) * [-3629.684] (-3641.953) (-3628.140) (-3629.682) -- 0:07:16
630000 -- (-3638.213) (-3656.942) [-3648.381] (-3641.730) * (-3627.647) [-3626.686] (-3648.903) (-3625.506) -- 0:07:15
Average standard deviation of split frequencies: 0.006180
631000 -- (-3630.317) (-3633.666) (-3629.618) [-3628.181] * (-3638.098) (-3635.801) (-3628.485) [-3639.022] -- 0:07:13
632000 -- (-3634.759) (-3630.930) [-3628.147] (-3634.884) * (-3634.233) (-3636.187) [-3626.538] (-3644.909) -- 0:07:13
633000 -- (-3619.646) [-3635.415] (-3633.148) (-3636.065) * [-3620.544] (-3634.787) (-3637.521) (-3628.582) -- 0:07:11
634000 -- (-3636.333) (-3634.645) [-3620.818] (-3644.521) * (-3624.673) (-3636.479) [-3633.530] (-3639.771) -- 0:07:10
635000 -- (-3636.138) (-3646.508) [-3626.860] (-3650.102) * (-3640.924) [-3626.151] (-3629.533) (-3644.288) -- 0:07:09
Average standard deviation of split frequencies: 0.006340
636000 -- (-3627.024) (-3645.400) [-3625.480] (-3641.083) * [-3629.560] (-3641.564) (-3632.361) (-3638.690) -- 0:07:08
637000 -- (-3631.890) [-3626.156] (-3646.204) (-3631.150) * (-3625.034) [-3631.230] (-3634.334) (-3640.521) -- 0:07:06
638000 -- [-3631.973] (-3637.647) (-3640.056) (-3644.893) * (-3654.352) (-3621.415) [-3627.948] (-3637.144) -- 0:07:06
639000 -- (-3632.680) (-3632.893) (-3633.866) [-3632.052] * (-3629.441) (-3630.211) [-3637.193] (-3648.530) -- 0:07:04
640000 -- [-3629.172] (-3627.257) (-3625.763) (-3632.081) * (-3621.784) (-3648.181) (-3637.402) [-3635.793] -- 0:07:03
Average standard deviation of split frequencies: 0.006584
641000 -- (-3631.106) (-3631.434) [-3616.839] (-3639.669) * (-3648.165) (-3654.335) [-3626.521] (-3641.910) -- 0:07:02
642000 -- (-3624.990) [-3623.174] (-3630.914) (-3637.957) * (-3630.489) (-3628.522) [-3629.622] (-3643.783) -- 0:07:01
643000 -- (-3634.351) (-3633.288) (-3637.228) [-3620.150] * (-3641.113) (-3657.409) (-3640.755) [-3628.584] -- 0:07:00
644000 -- (-3648.635) (-3631.527) (-3642.168) [-3615.470] * (-3621.195) [-3638.457] (-3637.125) (-3636.878) -- 0:06:59
645000 -- (-3646.710) (-3623.222) (-3636.099) [-3623.769] * [-3619.056] (-3638.190) (-3633.767) (-3636.344) -- 0:06:57
Average standard deviation of split frequencies: 0.007118
646000 -- (-3654.634) [-3618.731] (-3632.871) (-3633.420) * [-3626.665] (-3633.840) (-3639.556) (-3624.875) -- 0:06:56
647000 -- (-3641.599) (-3644.907) (-3625.291) [-3617.008] * (-3641.164) [-3619.071] (-3636.524) (-3633.577) -- 0:06:55
648000 -- (-3616.995) (-3648.878) (-3639.063) [-3628.187] * [-3617.842] (-3621.744) (-3640.809) (-3633.207) -- 0:06:53
649000 -- (-3628.088) (-3648.205) (-3637.653) [-3632.080] * (-3642.572) (-3637.239) (-3648.348) [-3630.744] -- 0:06:53
650000 -- (-3623.691) (-3642.786) (-3635.272) [-3626.060] * (-3629.524) [-3619.953] (-3625.954) (-3631.037) -- 0:06:51
Average standard deviation of split frequencies: 0.007169
651000 -- [-3618.710] (-3638.680) (-3636.959) (-3644.602) * (-3652.265) [-3632.461] (-3625.651) (-3647.029) -- 0:06:50
652000 -- (-3622.614) [-3627.753] (-3644.291) (-3625.087) * (-3643.855) (-3635.240) [-3629.347] (-3639.560) -- 0:06:49
653000 -- [-3628.309] (-3638.249) (-3636.946) (-3622.346) * (-3644.329) (-3632.806) [-3622.624] (-3644.308) -- 0:06:48
654000 -- [-3629.903] (-3644.707) (-3648.417) (-3637.736) * (-3641.113) (-3641.963) (-3630.222) [-3631.566] -- 0:06:47
655000 -- (-3632.090) [-3642.098] (-3644.706) (-3626.451) * (-3635.520) [-3638.369] (-3628.091) (-3628.716) -- 0:06:46
Average standard deviation of split frequencies: 0.007438
656000 -- [-3629.413] (-3639.795) (-3636.201) (-3643.257) * (-3655.743) (-3638.765) [-3628.703] (-3637.452) -- 0:06:44
657000 -- (-3627.353) [-3634.200] (-3634.321) (-3626.656) * (-3625.558) [-3629.246] (-3629.183) (-3639.896) -- 0:06:43
658000 -- (-3631.250) (-3637.779) (-3655.800) [-3627.299] * (-3627.187) [-3623.978] (-3640.456) (-3646.643) -- 0:06:42
659000 -- (-3632.564) [-3632.842] (-3637.956) (-3626.032) * (-3634.135) [-3615.080] (-3631.959) (-3634.029) -- 0:06:41
660000 -- [-3622.447] (-3630.649) (-3645.263) (-3624.034) * (-3638.307) [-3626.530] (-3625.319) (-3643.728) -- 0:06:40
Average standard deviation of split frequencies: 0.007461
661000 -- (-3615.807) (-3633.490) (-3645.823) [-3628.800] * [-3631.265] (-3640.157) (-3645.188) (-3647.423) -- 0:06:39
662000 -- (-3625.709) (-3633.578) [-3631.585] (-3633.759) * (-3653.735) [-3625.555] (-3640.427) (-3652.376) -- 0:06:37
663000 -- (-3634.510) [-3636.037] (-3648.258) (-3641.997) * (-3632.127) [-3624.822] (-3648.093) (-3635.325) -- 0:06:36
664000 -- (-3636.053) (-3648.184) (-3646.423) [-3624.247] * (-3626.707) (-3618.385) (-3639.621) [-3637.574] -- 0:06:35
665000 -- (-3637.827) [-3622.607] (-3631.899) (-3638.712) * (-3638.410) (-3624.476) (-3623.114) [-3638.628] -- 0:06:34
Average standard deviation of split frequencies: 0.007637
666000 -- (-3625.344) (-3637.002) (-3641.118) [-3638.811] * (-3640.440) (-3643.550) (-3627.152) [-3628.076] -- 0:06:33
667000 -- [-3622.651] (-3635.443) (-3656.812) (-3638.790) * (-3647.072) [-3631.828] (-3621.817) (-3636.661) -- 0:06:31
668000 -- [-3630.075] (-3642.226) (-3640.587) (-3647.916) * (-3632.209) (-3632.979) (-3631.101) [-3628.855] -- 0:06:30
669000 -- [-3644.238] (-3641.135) (-3637.633) (-3639.653) * [-3622.662] (-3624.090) (-3630.953) (-3640.950) -- 0:06:29
670000 -- (-3633.892) (-3636.726) [-3647.678] (-3638.530) * (-3632.713) [-3624.100] (-3663.019) (-3643.853) -- 0:06:28
Average standard deviation of split frequencies: 0.007941
671000 -- (-3643.342) (-3635.291) (-3642.289) [-3619.687] * (-3629.372) (-3620.778) (-3643.006) [-3630.073] -- 0:06:27
672000 -- (-3640.504) [-3635.294] (-3632.953) (-3626.645) * [-3630.264] (-3639.867) (-3644.221) (-3649.164) -- 0:06:26
673000 -- (-3643.348) (-3633.577) (-3620.801) [-3624.171] * (-3623.377) (-3638.665) [-3629.223] (-3649.093) -- 0:06:24
674000 -- (-3627.919) (-3655.714) [-3628.857] (-3635.532) * (-3632.765) (-3639.983) (-3639.317) [-3632.479] -- 0:06:23
675000 -- [-3635.029] (-3653.457) (-3637.955) (-3634.354) * (-3630.705) [-3632.603] (-3650.534) (-3641.848) -- 0:06:22
Average standard deviation of split frequencies: 0.008050
676000 -- (-3633.869) (-3642.677) (-3641.057) [-3628.883] * (-3626.796) [-3639.822] (-3651.350) (-3638.564) -- 0:06:21
677000 -- (-3628.301) [-3626.557] (-3662.474) (-3632.020) * [-3621.218] (-3635.886) (-3651.074) (-3644.433) -- 0:06:20
678000 -- [-3633.157] (-3626.206) (-3639.173) (-3643.319) * (-3640.136) [-3629.272] (-3626.907) (-3638.489) -- 0:06:18
679000 -- [-3629.998] (-3634.762) (-3647.417) (-3637.900) * (-3640.987) (-3627.276) (-3637.968) [-3637.412] -- 0:06:17
680000 -- (-3638.033) (-3632.132) [-3635.947] (-3625.497) * (-3629.990) [-3625.737] (-3638.742) (-3629.308) -- 0:06:16
Average standard deviation of split frequencies: 0.007837
681000 -- (-3623.447) (-3632.053) [-3620.792] (-3642.978) * [-3621.438] (-3635.684) (-3634.073) (-3625.532) -- 0:06:15
682000 -- (-3632.049) (-3642.826) [-3624.843] (-3634.821) * [-3639.494] (-3630.580) (-3637.642) (-3644.715) -- 0:06:14
683000 -- (-3637.128) (-3636.870) (-3632.119) [-3624.948] * (-3637.100) [-3628.719] (-3637.295) (-3634.545) -- 0:06:13
684000 -- (-3638.756) [-3631.370] (-3634.975) (-3632.935) * (-3633.194) [-3619.419] (-3633.636) (-3638.159) -- 0:06:11
685000 -- (-3632.885) [-3650.697] (-3624.960) (-3635.909) * (-3622.196) [-3621.491] (-3636.518) (-3641.195) -- 0:06:10
Average standard deviation of split frequencies: 0.007523
686000 -- (-3629.700) (-3640.928) [-3621.529] (-3622.507) * [-3634.519] (-3638.211) (-3636.747) (-3654.357) -- 0:06:09
687000 -- (-3629.558) (-3652.589) (-3624.419) [-3618.207] * (-3638.119) (-3647.075) (-3643.871) [-3622.834] -- 0:06:08
688000 -- (-3640.530) (-3634.724) [-3638.844] (-3648.705) * [-3629.607] (-3624.948) (-3639.981) (-3630.095) -- 0:06:07
689000 -- [-3619.824] (-3643.652) (-3625.146) (-3625.904) * (-3637.663) (-3638.331) [-3633.534] (-3634.358) -- 0:06:06
690000 -- (-3646.570) (-3631.669) (-3625.734) [-3627.481] * (-3626.209) [-3625.000] (-3635.989) (-3640.259) -- 0:06:04
Average standard deviation of split frequencies: 0.007532
691000 -- [-3629.870] (-3641.706) (-3618.340) (-3633.466) * (-3637.085) (-3635.883) [-3629.321] (-3627.809) -- 0:06:03
692000 -- (-3654.906) (-3630.004) [-3622.772] (-3638.883) * (-3644.432) (-3635.159) (-3640.741) [-3627.031] -- 0:06:02
693000 -- (-3635.340) (-3636.991) (-3631.222) [-3627.430] * (-3662.634) (-3638.379) (-3628.836) [-3627.425] -- 0:06:01
694000 -- (-3646.702) [-3627.701] (-3622.543) (-3635.118) * (-3657.968) (-3628.424) (-3639.917) [-3642.722] -- 0:06:00
695000 -- (-3635.577) (-3639.830) [-3628.173] (-3639.357) * (-3638.360) [-3630.191] (-3625.808) (-3651.954) -- 0:05:58
Average standard deviation of split frequencies: 0.007355
696000 -- [-3630.132] (-3640.894) (-3634.090) (-3635.606) * (-3638.617) (-3619.655) [-3624.243] (-3643.643) -- 0:05:57
697000 -- (-3650.517) [-3623.785] (-3622.696) (-3629.850) * (-3637.556) (-3619.488) (-3628.177) [-3634.340] -- 0:05:56
698000 -- (-3638.684) [-3647.757] (-3625.897) (-3634.891) * [-3638.271] (-3634.973) (-3640.178) (-3629.435) -- 0:05:55
699000 -- (-3637.815) (-3626.721) [-3621.251] (-3634.384) * [-3619.458] (-3630.927) (-3635.480) (-3635.776) -- 0:05:54
700000 -- (-3632.953) (-3634.270) [-3637.566] (-3626.507) * [-3616.629] (-3639.096) (-3658.888) (-3635.613) -- 0:05:53
Average standard deviation of split frequencies: 0.007495
701000 -- (-3636.993) (-3632.052) (-3630.112) [-3636.456] * [-3624.145] (-3633.260) (-3641.317) (-3633.273) -- 0:05:51
702000 -- (-3641.939) (-3627.053) [-3618.205] (-3645.186) * [-3619.128] (-3631.948) (-3644.366) (-3641.482) -- 0:05:50
703000 -- (-3636.590) (-3631.151) (-3630.122) [-3617.634] * [-3628.179] (-3631.916) (-3637.159) (-3631.125) -- 0:05:49
704000 -- (-3644.888) (-3636.238) (-3641.064) [-3620.820] * (-3635.710) (-3634.920) (-3647.329) [-3625.002] -- 0:05:48
705000 -- (-3641.375) (-3637.276) (-3648.310) [-3613.576] * (-3635.334) (-3627.033) (-3636.757) [-3626.443] -- 0:05:47
Average standard deviation of split frequencies: 0.007345
706000 -- (-3636.789) [-3627.437] (-3639.575) (-3628.064) * (-3640.288) (-3626.981) [-3624.432] (-3627.403) -- 0:05:46
707000 -- (-3651.269) (-3620.614) (-3636.112) [-3634.244] * (-3639.910) (-3632.853) (-3627.866) [-3631.576] -- 0:05:44
708000 -- [-3638.281] (-3640.990) (-3643.299) (-3642.851) * (-3644.513) (-3626.284) (-3625.507) [-3621.859] -- 0:05:43
709000 -- (-3640.721) (-3637.065) (-3629.885) [-3627.234] * (-3652.893) [-3623.746] (-3634.302) (-3625.170) -- 0:05:42
710000 -- (-3633.758) [-3633.914] (-3618.502) (-3633.695) * (-3639.980) [-3623.245] (-3631.406) (-3633.118) -- 0:05:41
Average standard deviation of split frequencies: 0.007471
711000 -- [-3636.178] (-3638.071) (-3636.141) (-3649.654) * (-3638.079) (-3633.809) [-3636.367] (-3638.798) -- 0:05:40
712000 -- (-3627.021) [-3629.672] (-3651.089) (-3637.259) * [-3630.328] (-3641.908) (-3644.445) (-3631.701) -- 0:05:38
713000 -- (-3635.712) (-3632.252) (-3636.356) [-3635.037] * [-3633.112] (-3643.059) (-3641.224) (-3630.818) -- 0:05:37
714000 -- [-3634.592] (-3637.666) (-3632.473) (-3636.381) * (-3624.935) (-3644.919) [-3633.983] (-3636.203) -- 0:05:36
715000 -- (-3635.159) [-3634.418] (-3644.241) (-3637.760) * (-3646.135) (-3633.710) (-3632.857) [-3635.155] -- 0:05:35
Average standard deviation of split frequencies: 0.007150
716000 -- (-3623.433) (-3647.930) [-3634.639] (-3645.555) * (-3644.863) (-3648.678) [-3632.121] (-3644.567) -- 0:05:34
717000 -- [-3619.163] (-3635.935) (-3641.053) (-3631.566) * (-3632.568) (-3655.085) [-3626.423] (-3641.040) -- 0:05:33
718000 -- (-3627.091) (-3637.913) (-3630.385) [-3621.238] * (-3627.432) (-3649.435) (-3645.086) [-3629.459] -- 0:05:31
719000 -- (-3641.134) (-3628.595) (-3648.379) [-3625.435] * [-3626.493] (-3640.992) (-3646.997) (-3633.316) -- 0:05:30
720000 -- [-3620.947] (-3642.355) (-3644.738) (-3630.509) * (-3630.877) (-3631.620) (-3634.232) [-3626.898] -- 0:05:29
Average standard deviation of split frequencies: 0.007058
721000 -- [-3623.299] (-3627.034) (-3641.255) (-3657.648) * [-3631.717] (-3631.304) (-3615.767) (-3626.396) -- 0:05:28
722000 -- (-3633.896) [-3622.633] (-3641.036) (-3622.438) * (-3612.914) [-3627.959] (-3650.010) (-3636.735) -- 0:05:27
723000 -- (-3635.424) [-3630.960] (-3631.459) (-3626.483) * (-3635.992) (-3635.969) (-3659.909) [-3633.309] -- 0:05:26
724000 -- (-3624.051) (-3635.540) [-3623.411] (-3628.539) * (-3635.560) [-3631.316] (-3654.929) (-3646.808) -- 0:05:24
725000 -- (-3643.745) (-3630.221) (-3625.907) [-3619.327] * (-3654.530) [-3636.938] (-3642.741) (-3646.292) -- 0:05:23
Average standard deviation of split frequencies: 0.007370
726000 -- [-3627.845] (-3644.784) (-3637.526) (-3636.319) * (-3639.113) [-3640.332] (-3629.255) (-3637.969) -- 0:05:22
727000 -- (-3642.440) [-3631.677] (-3636.463) (-3637.148) * (-3637.384) [-3623.481] (-3628.248) (-3621.539) -- 0:05:21
728000 -- [-3631.379] (-3643.110) (-3641.236) (-3638.867) * (-3649.281) (-3630.563) [-3622.247] (-3622.669) -- 0:05:20
729000 -- [-3638.957] (-3635.565) (-3630.122) (-3653.737) * (-3642.858) (-3630.962) [-3626.273] (-3632.675) -- 0:05:18
730000 -- (-3633.065) (-3643.584) [-3624.057] (-3638.573) * (-3632.485) (-3638.951) [-3615.721] (-3629.698) -- 0:05:17
Average standard deviation of split frequencies: 0.007187
731000 -- (-3638.352) (-3644.286) [-3626.308] (-3630.802) * [-3622.042] (-3636.896) (-3654.280) (-3629.695) -- 0:05:16
732000 -- [-3624.952] (-3650.243) (-3630.130) (-3636.255) * [-3625.020] (-3659.656) (-3633.299) (-3629.242) -- 0:05:15
733000 -- [-3626.084] (-3631.533) (-3630.862) (-3641.322) * [-3622.701] (-3644.378) (-3645.154) (-3641.859) -- 0:05:14
734000 -- (-3648.733) (-3637.607) (-3635.706) [-3627.071] * [-3623.835] (-3663.159) (-3638.439) (-3637.054) -- 0:05:13
735000 -- (-3640.098) (-3624.142) [-3627.984] (-3636.344) * (-3648.718) (-3654.466) (-3635.690) [-3630.750] -- 0:05:11
Average standard deviation of split frequencies: 0.006843
736000 -- [-3649.424] (-3627.500) (-3636.192) (-3635.809) * (-3639.862) (-3646.167) (-3632.888) [-3627.860] -- 0:05:10
737000 -- (-3640.743) (-3628.384) (-3630.370) [-3620.347] * (-3641.291) [-3631.164] (-3634.918) (-3640.423) -- 0:05:09
738000 -- (-3635.032) [-3633.843] (-3625.467) (-3636.016) * (-3647.469) (-3621.441) [-3631.963] (-3641.394) -- 0:05:08
739000 -- (-3648.760) [-3626.021] (-3624.698) (-3632.756) * (-3641.308) (-3636.241) (-3636.558) [-3630.988] -- 0:05:07
740000 -- [-3621.842] (-3638.845) (-3649.911) (-3640.161) * (-3632.285) (-3644.234) [-3632.625] (-3626.272) -- 0:05:06
Average standard deviation of split frequencies: 0.006889
741000 -- (-3635.216) [-3634.800] (-3646.708) (-3635.157) * (-3633.650) [-3631.233] (-3623.545) (-3641.741) -- 0:05:04
742000 -- (-3643.059) [-3633.903] (-3655.992) (-3629.538) * (-3637.543) (-3655.504) (-3637.332) [-3614.988] -- 0:05:03
743000 -- (-3639.060) (-3636.372) [-3639.107] (-3638.772) * (-3634.735) (-3644.895) (-3628.703) [-3617.015] -- 0:05:02
744000 -- (-3634.934) [-3630.093] (-3625.817) (-3657.202) * (-3643.965) (-3637.785) [-3629.021] (-3633.998) -- 0:05:01
745000 -- (-3624.980) (-3620.276) [-3631.945] (-3660.955) * (-3632.299) (-3629.862) [-3630.840] (-3636.959) -- 0:05:00
Average standard deviation of split frequencies: 0.006951
746000 -- (-3637.117) [-3626.546] (-3638.624) (-3642.244) * (-3646.639) [-3636.581] (-3642.494) (-3632.118) -- 0:04:58
747000 -- (-3622.399) (-3649.584) [-3620.165] (-3645.585) * (-3642.661) (-3650.767) [-3638.820] (-3629.895) -- 0:04:57
748000 -- (-3652.122) (-3630.711) [-3622.573] (-3642.404) * (-3635.299) [-3641.643] (-3644.662) (-3650.750) -- 0:04:56
749000 -- (-3641.271) (-3635.547) [-3624.494] (-3633.841) * (-3659.226) (-3627.232) (-3640.102) [-3633.119] -- 0:04:55
750000 -- [-3626.800] (-3643.238) (-3622.411) (-3636.027) * (-3636.619) (-3642.451) [-3636.157] (-3645.046) -- 0:04:54
Average standard deviation of split frequencies: 0.007062
751000 -- (-3627.104) (-3634.628) (-3643.842) [-3621.499] * (-3652.486) [-3628.895] (-3643.364) (-3640.889) -- 0:04:53
752000 -- (-3640.807) (-3638.881) (-3639.183) [-3625.102] * [-3628.444] (-3641.187) (-3639.682) (-3659.356) -- 0:04:51
753000 -- (-3641.244) [-3631.615] (-3638.922) (-3635.683) * (-3641.184) [-3625.160] (-3652.343) (-3638.227) -- 0:04:50
754000 -- (-3628.248) [-3634.438] (-3648.245) (-3637.130) * (-3654.303) (-3632.808) (-3645.916) [-3618.138] -- 0:04:49
755000 -- [-3637.023] (-3643.134) (-3636.889) (-3635.861) * (-3626.188) (-3638.107) (-3647.043) [-3632.337] -- 0:04:48
Average standard deviation of split frequencies: 0.006859
756000 -- (-3636.875) (-3667.337) (-3631.059) [-3626.866] * [-3632.767] (-3631.191) (-3644.413) (-3625.258) -- 0:04:47
757000 -- (-3623.761) (-3625.613) [-3633.331] (-3649.087) * (-3635.604) (-3630.249) [-3643.323] (-3618.970) -- 0:04:46
758000 -- [-3636.827] (-3628.617) (-3649.176) (-3645.659) * (-3626.363) (-3622.227) (-3661.272) [-3623.136] -- 0:04:44
759000 -- [-3625.766] (-3645.952) (-3639.409) (-3630.553) * [-3631.957] (-3649.154) (-3659.064) (-3623.661) -- 0:04:43
760000 -- [-3623.857] (-3632.906) (-3635.197) (-3634.433) * (-3636.357) [-3626.645] (-3644.023) (-3619.892) -- 0:04:42
Average standard deviation of split frequencies: 0.006904
761000 -- [-3630.094] (-3642.631) (-3647.899) (-3632.410) * [-3632.285] (-3635.459) (-3641.247) (-3635.930) -- 0:04:41
762000 -- (-3622.247) (-3648.265) [-3632.142] (-3628.383) * (-3663.926) (-3645.644) (-3632.564) [-3621.614] -- 0:04:40
763000 -- [-3630.900] (-3643.316) (-3635.283) (-3619.270) * (-3641.508) (-3626.468) (-3620.773) [-3627.287] -- 0:04:38
764000 -- (-3636.420) (-3649.991) (-3638.967) [-3623.759] * (-3640.221) (-3631.629) [-3619.033] (-3643.946) -- 0:04:37
765000 -- (-3641.072) (-3633.604) [-3622.768] (-3638.070) * (-3627.171) (-3629.028) [-3615.310] (-3644.624) -- 0:04:36
Average standard deviation of split frequencies: 0.006834
766000 -- (-3633.235) [-3623.884] (-3631.823) (-3631.596) * (-3633.194) (-3637.647) [-3623.857] (-3631.104) -- 0:04:35
767000 -- (-3630.116) (-3632.712) (-3625.235) [-3627.890] * (-3627.425) (-3636.202) (-3630.337) [-3620.718] -- 0:04:34
768000 -- (-3634.511) (-3643.428) [-3626.740] (-3619.338) * [-3624.700] (-3640.944) (-3626.127) (-3633.826) -- 0:04:33
769000 -- [-3618.259] (-3646.869) (-3630.994) (-3624.709) * (-3629.056) (-3647.111) [-3616.422] (-3642.897) -- 0:04:31
770000 -- (-3626.717) (-3628.775) [-3628.684] (-3645.534) * (-3639.435) [-3620.748] (-3635.427) (-3647.791) -- 0:04:30
Average standard deviation of split frequencies: 0.006997
771000 -- (-3638.911) (-3639.099) (-3641.096) [-3623.709] * (-3637.137) [-3625.967] (-3626.560) (-3628.924) -- 0:04:29
772000 -- (-3636.218) [-3632.856] (-3627.648) (-3633.164) * (-3626.620) (-3644.261) (-3636.390) [-3637.911] -- 0:04:28
773000 -- (-3653.439) (-3628.803) [-3615.756] (-3642.230) * (-3634.963) (-3635.500) [-3627.819] (-3645.400) -- 0:04:27
774000 -- (-3647.564) (-3641.519) (-3645.317) [-3624.551] * (-3627.284) (-3629.805) [-3627.693] (-3637.377) -- 0:04:26
775000 -- (-3646.225) (-3629.060) [-3623.424] (-3632.648) * [-3621.097] (-3629.780) (-3635.236) (-3640.579) -- 0:04:24
Average standard deviation of split frequencies: 0.007023
776000 -- [-3626.347] (-3647.763) (-3631.377) (-3638.511) * (-3628.967) [-3636.682] (-3637.574) (-3639.476) -- 0:04:23
777000 -- (-3624.602) [-3630.233] (-3654.899) (-3621.944) * (-3649.154) (-3621.367) (-3651.164) [-3631.852] -- 0:04:22
778000 -- (-3648.915) (-3619.651) (-3637.911) [-3624.290] * (-3637.394) (-3624.433) (-3647.222) [-3625.064] -- 0:04:21
779000 -- (-3658.734) (-3628.472) (-3635.351) [-3625.161] * (-3642.923) (-3649.549) [-3623.622] (-3616.401) -- 0:04:20
780000 -- [-3627.991] (-3625.790) (-3640.732) (-3629.449) * [-3636.935] (-3630.676) (-3627.744) (-3647.525) -- 0:04:18
Average standard deviation of split frequencies: 0.006944
781000 -- (-3630.864) (-3633.546) (-3626.006) [-3626.970] * [-3626.638] (-3634.967) (-3649.715) (-3649.907) -- 0:04:17
782000 -- (-3634.302) (-3646.285) (-3638.420) [-3632.114] * (-3616.037) [-3627.582] (-3637.961) (-3639.101) -- 0:04:16
783000 -- (-3655.761) (-3644.494) [-3635.515] (-3641.513) * (-3637.337) [-3631.983] (-3616.887) (-3643.421) -- 0:04:15
784000 -- (-3644.545) [-3629.192] (-3630.820) (-3638.277) * (-3631.528) (-3628.593) [-3619.509] (-3644.501) -- 0:04:14
785000 -- (-3646.927) (-3633.220) [-3624.409] (-3640.923) * (-3628.699) [-3635.187] (-3626.796) (-3636.795) -- 0:04:13
Average standard deviation of split frequencies: 0.007018
786000 -- (-3643.325) (-3629.681) [-3629.411] (-3640.932) * (-3642.506) (-3638.805) [-3619.290] (-3633.180) -- 0:04:12
787000 -- [-3633.004] (-3635.258) (-3637.896) (-3627.563) * [-3617.208] (-3627.793) (-3632.103) (-3629.573) -- 0:04:10
788000 -- (-3632.591) (-3652.933) (-3643.339) [-3623.549] * (-3617.680) (-3633.720) (-3626.202) [-3624.188] -- 0:04:09
789000 -- [-3625.987] (-3637.653) (-3644.634) (-3637.569) * (-3644.582) [-3625.731] (-3641.176) (-3629.907) -- 0:04:08
790000 -- (-3635.619) (-3658.691) (-3644.261) [-3623.798] * (-3643.102) [-3638.457] (-3631.471) (-3638.676) -- 0:04:07
Average standard deviation of split frequencies: 0.007092
791000 -- (-3637.463) (-3648.795) (-3637.722) [-3629.046] * (-3632.758) (-3643.151) [-3631.169] (-3642.707) -- 0:04:05
792000 -- (-3628.202) (-3630.756) (-3631.193) [-3632.610] * (-3637.104) [-3637.503] (-3641.389) (-3659.174) -- 0:04:05
793000 -- (-3640.955) (-3643.196) [-3638.975] (-3630.590) * (-3629.397) (-3632.854) (-3637.415) [-3633.906] -- 0:04:03
794000 -- (-3635.458) (-3642.810) (-3634.529) [-3627.147] * (-3623.343) (-3632.214) [-3620.958] (-3638.209) -- 0:04:02
795000 -- (-3630.904) (-3642.636) (-3638.262) [-3620.932] * (-3632.602) (-3647.301) [-3644.377] (-3629.480) -- 0:04:01
Average standard deviation of split frequencies: 0.006736
796000 -- [-3625.555] (-3645.131) (-3631.275) (-3637.083) * [-3621.490] (-3632.433) (-3642.253) (-3635.580) -- 0:04:00
797000 -- (-3632.667) (-3641.575) [-3636.549] (-3647.540) * (-3648.190) (-3635.559) (-3653.052) [-3628.639] -- 0:03:59
798000 -- (-3630.942) [-3634.268] (-3634.061) (-3629.169) * [-3623.870] (-3632.957) (-3635.516) (-3627.199) -- 0:03:57
799000 -- (-3637.662) (-3638.485) (-3622.321) [-3625.096] * (-3631.133) (-3626.401) [-3632.810] (-3627.941) -- 0:03:56
800000 -- (-3638.278) (-3645.909) [-3635.888] (-3640.333) * (-3630.551) (-3619.598) (-3623.928) [-3634.667] -- 0:03:55
Average standard deviation of split frequencies: 0.006424
801000 -- (-3630.915) (-3633.794) [-3632.031] (-3672.862) * (-3633.735) [-3621.664] (-3634.149) (-3640.515) -- 0:03:54
802000 -- (-3630.817) (-3632.623) [-3639.019] (-3647.052) * [-3624.167] (-3632.017) (-3640.555) (-3641.965) -- 0:03:53
803000 -- [-3619.058] (-3641.128) (-3639.684) (-3645.186) * [-3629.072] (-3636.223) (-3644.144) (-3624.047) -- 0:03:51
804000 -- (-3631.947) (-3649.492) (-3627.372) [-3626.863] * (-3637.194) (-3633.107) [-3629.498] (-3628.850) -- 0:03:50
805000 -- (-3634.097) (-3637.020) [-3627.263] (-3636.010) * (-3630.718) (-3650.437) (-3635.642) [-3634.470] -- 0:03:49
Average standard deviation of split frequencies: 0.006629
806000 -- (-3641.823) [-3619.483] (-3629.290) (-3650.280) * [-3626.764] (-3649.907) (-3633.609) (-3626.751) -- 0:03:48
807000 -- (-3647.020) [-3640.118] (-3628.869) (-3629.606) * (-3633.498) (-3663.426) (-3634.664) [-3628.638] -- 0:03:47
808000 -- [-3625.350] (-3632.094) (-3648.720) (-3637.148) * [-3620.128] (-3636.732) (-3636.007) (-3624.764) -- 0:03:45
809000 -- (-3644.638) (-3626.224) (-3629.840) [-3628.093] * (-3637.517) (-3628.216) (-3626.346) [-3633.419] -- 0:03:44
810000 -- (-3638.153) [-3622.738] (-3648.825) (-3632.879) * [-3641.553] (-3634.983) (-3634.586) (-3632.581) -- 0:03:43
Average standard deviation of split frequencies: 0.006677
811000 -- [-3628.443] (-3629.149) (-3635.451) (-3639.330) * (-3625.234) [-3629.052] (-3638.152) (-3649.823) -- 0:03:42
812000 -- (-3635.772) [-3620.182] (-3657.094) (-3654.709) * [-3625.145] (-3631.953) (-3627.617) (-3631.105) -- 0:03:41
813000 -- (-3631.083) (-3619.377) [-3629.991] (-3634.872) * [-3627.835] (-3634.407) (-3636.826) (-3633.141) -- 0:03:40
814000 -- (-3623.641) [-3623.731] (-3648.447) (-3637.020) * (-3644.083) (-3621.482) (-3638.281) [-3628.599] -- 0:03:38
815000 -- (-3640.257) (-3634.143) (-3636.595) [-3633.964] * (-3629.423) (-3649.798) (-3646.948) [-3631.704] -- 0:03:37
Average standard deviation of split frequencies: 0.006509
816000 -- (-3657.308) [-3632.545] (-3624.733) (-3629.387) * (-3631.777) [-3636.356] (-3643.243) (-3628.242) -- 0:03:36
817000 -- (-3633.501) [-3629.933] (-3629.806) (-3630.669) * [-3626.063] (-3642.097) (-3645.454) (-3636.912) -- 0:03:35
818000 -- (-3632.451) [-3616.557] (-3632.485) (-3637.437) * (-3630.726) (-3639.484) (-3629.728) [-3634.748] -- 0:03:34
819000 -- (-3627.262) [-3630.613] (-3648.708) (-3636.228) * [-3640.636] (-3650.730) (-3631.142) (-3646.618) -- 0:03:33
820000 -- (-3621.042) [-3626.134] (-3637.776) (-3641.709) * (-3641.798) (-3642.162) (-3628.990) [-3630.093] -- 0:03:31
Average standard deviation of split frequencies: 0.006401
821000 -- (-3633.115) (-3634.691) (-3635.787) [-3622.132] * (-3630.509) (-3628.871) (-3640.293) [-3633.568] -- 0:03:30
822000 -- [-3622.293] (-3636.415) (-3633.104) (-3636.857) * (-3629.096) [-3624.339] (-3635.576) (-3656.333) -- 0:03:29
823000 -- [-3633.426] (-3619.246) (-3634.325) (-3635.588) * [-3619.020] (-3632.032) (-3626.622) (-3633.549) -- 0:03:28
824000 -- (-3628.297) [-3627.517] (-3633.250) (-3631.016) * (-3639.455) (-3634.290) (-3633.965) [-3634.900] -- 0:03:27
825000 -- (-3626.074) (-3634.076) (-3630.284) [-3627.454] * (-3627.759) (-3639.769) (-3633.304) [-3626.263] -- 0:03:25
Average standard deviation of split frequencies: 0.006278
826000 -- (-3634.489) [-3628.291] (-3635.367) (-3631.637) * (-3631.253) (-3641.302) [-3637.328] (-3651.117) -- 0:03:24
827000 -- (-3644.048) [-3624.536] (-3628.184) (-3636.017) * (-3638.412) (-3639.903) (-3639.818) [-3624.696] -- 0:03:23
828000 -- (-3639.728) [-3631.919] (-3637.288) (-3624.379) * (-3636.265) [-3632.802] (-3643.910) (-3641.080) -- 0:03:22
829000 -- [-3644.279] (-3636.948) (-3630.711) (-3636.877) * (-3621.839) (-3634.517) [-3627.213] (-3645.044) -- 0:03:21
830000 -- (-3627.104) (-3627.431) (-3630.843) [-3633.210] * (-3641.361) [-3626.220] (-3619.323) (-3638.174) -- 0:03:20
Average standard deviation of split frequencies: 0.006192
831000 -- (-3631.707) [-3628.007] (-3666.076) (-3639.994) * (-3633.689) (-3626.976) (-3646.720) [-3614.217] -- 0:03:18
832000 -- (-3638.674) (-3622.637) (-3651.500) [-3625.826] * (-3640.485) [-3619.867] (-3629.095) (-3626.823) -- 0:03:17
833000 -- (-3634.756) (-3626.397) (-3644.725) [-3632.693] * [-3627.420] (-3646.405) (-3633.751) (-3626.620) -- 0:03:16
834000 -- (-3643.454) (-3624.329) [-3636.905] (-3634.449) * (-3627.176) (-3661.705) [-3634.270] (-3636.933) -- 0:03:15
835000 -- (-3644.383) [-3622.862] (-3633.877) (-3627.887) * (-3647.023) (-3633.573) [-3627.969] (-3638.336) -- 0:03:14
Average standard deviation of split frequencies: 0.006414
836000 -- (-3653.510) (-3625.570) [-3636.905] (-3624.220) * (-3641.896) [-3628.017] (-3628.338) (-3636.994) -- 0:03:13
837000 -- (-3645.436) (-3629.371) [-3625.985] (-3639.063) * (-3634.515) [-3628.698] (-3638.008) (-3627.176) -- 0:03:11
838000 -- (-3642.423) [-3636.596] (-3632.569) (-3643.922) * (-3632.783) [-3641.758] (-3621.851) (-3632.862) -- 0:03:10
839000 -- (-3643.916) [-3632.439] (-3630.476) (-3635.624) * (-3634.464) [-3626.411] (-3635.206) (-3621.780) -- 0:03:09
840000 -- (-3629.280) (-3632.452) [-3631.524] (-3640.716) * (-3628.975) [-3623.198] (-3621.837) (-3630.602) -- 0:03:08
Average standard deviation of split frequencies: 0.006268
841000 -- (-3644.920) (-3641.572) [-3633.130] (-3644.451) * (-3635.092) (-3634.108) [-3629.561] (-3633.004) -- 0:03:07
842000 -- (-3646.147) (-3619.831) [-3614.704] (-3653.984) * (-3631.485) (-3634.323) [-3627.410] (-3641.671) -- 0:03:05
843000 -- (-3632.182) (-3637.139) (-3650.785) [-3638.510] * (-3626.034) [-3627.669] (-3627.705) (-3624.632) -- 0:03:04
844000 -- [-3623.911] (-3633.509) (-3634.542) (-3642.445) * (-3630.547) (-3632.573) [-3627.736] (-3628.765) -- 0:03:03
845000 -- [-3629.695] (-3633.050) (-3643.607) (-3630.376) * (-3634.127) (-3641.784) [-3642.675] (-3628.619) -- 0:03:02
Average standard deviation of split frequencies: 0.006119
846000 -- [-3626.970] (-3634.392) (-3638.373) (-3628.857) * [-3635.310] (-3655.228) (-3640.753) (-3634.980) -- 0:03:01
847000 -- (-3632.986) (-3651.132) (-3648.847) [-3627.871] * (-3629.046) [-3621.128] (-3657.872) (-3644.214) -- 0:03:00
848000 -- (-3647.012) (-3633.797) [-3635.451] (-3631.463) * (-3640.675) [-3628.799] (-3642.017) (-3630.418) -- 0:02:59
849000 -- [-3635.420] (-3654.405) (-3626.934) (-3642.938) * (-3636.421) (-3625.805) [-3622.474] (-3630.453) -- 0:02:57
850000 -- (-3630.246) [-3638.375] (-3628.298) (-3635.124) * [-3619.638] (-3637.566) (-3622.826) (-3632.337) -- 0:02:56
Average standard deviation of split frequencies: 0.005937
851000 -- (-3626.999) (-3633.586) (-3656.088) [-3622.686] * (-3641.533) [-3629.864] (-3631.501) (-3635.110) -- 0:02:55
852000 -- (-3630.508) (-3636.592) (-3625.943) [-3618.635] * (-3635.467) (-3629.883) (-3634.325) [-3624.642] -- 0:02:54
853000 -- (-3638.766) (-3627.230) (-3630.107) [-3627.184] * [-3629.101] (-3628.301) (-3644.998) (-3631.446) -- 0:02:53
854000 -- (-3625.229) (-3625.378) [-3625.667] (-3624.224) * [-3621.688] (-3622.077) (-3638.143) (-3638.579) -- 0:02:51
855000 -- [-3615.217] (-3633.803) (-3624.108) (-3625.622) * (-3628.368) (-3632.194) [-3630.416] (-3634.802) -- 0:02:50
Average standard deviation of split frequencies: 0.006107
856000 -- (-3628.740) [-3621.860] (-3625.079) (-3628.512) * (-3641.984) (-3635.308) [-3624.234] (-3648.801) -- 0:02:49
857000 -- (-3633.495) (-3641.181) [-3623.568] (-3638.478) * (-3638.491) (-3639.823) [-3634.994] (-3624.233) -- 0:02:48
858000 -- (-3620.794) (-3635.594) [-3627.542] (-3624.445) * (-3642.717) [-3642.245] (-3638.185) (-3634.923) -- 0:02:47
859000 -- (-3624.653) (-3627.520) [-3619.667] (-3631.903) * (-3636.257) (-3633.931) [-3632.532] (-3620.564) -- 0:02:46
860000 -- (-3643.167) [-3630.036] (-3641.875) (-3633.385) * (-3632.960) (-3636.239) [-3625.191] (-3622.442) -- 0:02:44
Average standard deviation of split frequencies: 0.006240
861000 -- (-3638.583) [-3623.299] (-3634.450) (-3638.869) * [-3626.940] (-3637.226) (-3653.078) (-3631.975) -- 0:02:43
862000 -- (-3648.405) (-3629.405) [-3625.747] (-3636.266) * (-3631.272) (-3654.516) [-3620.356] (-3633.462) -- 0:02:42
863000 -- (-3628.784) [-3627.151] (-3636.167) (-3625.034) * (-3633.618) (-3631.522) (-3628.223) [-3625.270] -- 0:02:41
864000 -- (-3630.654) [-3623.803] (-3642.870) (-3642.647) * (-3630.526) (-3640.335) (-3640.541) [-3631.813] -- 0:02:40
865000 -- (-3634.271) (-3630.489) [-3625.788] (-3640.878) * (-3646.920) (-3629.145) (-3639.852) [-3627.428] -- 0:02:39
Average standard deviation of split frequencies: 0.006095
866000 -- (-3639.919) (-3622.876) [-3638.185] (-3632.196) * (-3643.637) (-3626.439) [-3628.020] (-3630.189) -- 0:02:37
867000 -- (-3643.903) [-3624.864] (-3635.989) (-3635.219) * (-3653.518) (-3620.993) [-3623.369] (-3634.647) -- 0:02:36
868000 -- (-3645.616) (-3644.819) [-3629.288] (-3632.256) * (-3640.107) (-3636.074) [-3623.826] (-3650.432) -- 0:02:35
869000 -- (-3634.424) (-3636.911) (-3633.294) [-3624.157] * (-3644.214) [-3630.054] (-3630.918) (-3625.814) -- 0:02:34
870000 -- (-3632.119) (-3657.824) (-3635.573) [-3618.699] * (-3627.845) [-3631.546] (-3624.619) (-3638.781) -- 0:02:33
Average standard deviation of split frequencies: 0.006120
871000 -- [-3624.328] (-3630.151) (-3631.360) (-3635.135) * (-3624.359) (-3649.500) (-3626.508) [-3637.824] -- 0:02:31
872000 -- [-3622.681] (-3647.101) (-3630.193) (-3634.903) * [-3613.810] (-3640.086) (-3629.983) (-3641.982) -- 0:02:30
873000 -- [-3636.066] (-3626.496) (-3649.292) (-3626.380) * (-3626.176) (-3643.471) [-3620.569] (-3625.819) -- 0:02:29
874000 -- (-3640.994) (-3633.328) [-3619.400] (-3631.820) * (-3629.038) (-3640.605) (-3628.197) [-3619.592] -- 0:02:28
875000 -- (-3636.642) (-3630.532) [-3618.039] (-3623.098) * (-3639.022) (-3641.382) [-3641.491] (-3630.818) -- 0:02:27
Average standard deviation of split frequencies: 0.006583
876000 -- (-3612.842) (-3651.954) [-3630.297] (-3637.157) * (-3636.968) (-3631.561) (-3640.021) [-3624.264] -- 0:02:25
877000 -- (-3638.688) [-3621.314] (-3628.969) (-3647.967) * (-3646.935) (-3637.343) (-3628.380) [-3626.082] -- 0:02:24
878000 -- (-3629.937) [-3622.243] (-3639.980) (-3637.135) * (-3634.168) (-3633.033) (-3624.587) [-3632.883] -- 0:02:23
879000 -- (-3658.983) (-3626.595) (-3638.324) [-3630.037] * (-3630.338) (-3646.481) [-3619.526] (-3635.897) -- 0:02:22
880000 -- [-3626.991] (-3627.798) (-3635.033) (-3644.073) * [-3628.984] (-3638.192) (-3633.882) (-3656.032) -- 0:02:21
Average standard deviation of split frequencies: 0.006844
881000 -- (-3626.886) (-3624.989) [-3635.726] (-3633.125) * (-3634.031) (-3628.302) [-3624.877] (-3635.522) -- 0:02:20
882000 -- (-3640.026) (-3638.847) (-3628.446) [-3620.105] * (-3640.921) (-3621.564) [-3628.510] (-3646.761) -- 0:02:18
883000 -- [-3634.202] (-3627.217) (-3648.291) (-3632.892) * (-3628.648) (-3626.069) [-3616.126] (-3638.410) -- 0:02:17
884000 -- (-3658.479) [-3628.665] (-3630.039) (-3643.581) * (-3644.629) (-3639.325) (-3643.574) [-3624.415] -- 0:02:16
885000 -- (-3638.035) (-3629.485) [-3638.840] (-3647.241) * (-3642.730) (-3629.583) (-3653.061) [-3622.957] -- 0:02:15
Average standard deviation of split frequencies: 0.006926
886000 -- (-3634.094) [-3616.682] (-3633.475) (-3652.392) * [-3622.635] (-3633.743) (-3639.557) (-3634.554) -- 0:02:14
887000 -- (-3650.279) [-3626.845] (-3628.001) (-3645.463) * [-3625.838] (-3634.889) (-3628.097) (-3642.555) -- 0:02:13
888000 -- [-3625.759] (-3632.715) (-3644.006) (-3661.059) * (-3630.058) [-3622.457] (-3635.687) (-3650.684) -- 0:02:11
889000 -- [-3631.610] (-3634.520) (-3639.044) (-3636.995) * (-3631.567) [-3623.882] (-3629.786) (-3635.263) -- 0:02:10
890000 -- (-3631.522) [-3631.224] (-3640.422) (-3638.064) * (-3651.101) (-3655.770) [-3628.268] (-3625.019) -- 0:02:09
Average standard deviation of split frequencies: 0.006748
891000 -- (-3636.911) [-3636.024] (-3650.302) (-3635.495) * (-3664.974) (-3637.893) [-3632.400] (-3636.140) -- 0:02:08
892000 -- (-3636.840) (-3639.532) [-3633.225] (-3645.380) * (-3635.342) (-3632.488) [-3630.812] (-3645.893) -- 0:02:07
893000 -- (-3632.924) (-3650.484) [-3639.614] (-3636.690) * (-3633.281) (-3649.263) (-3644.050) [-3634.654] -- 0:02:05
894000 -- [-3634.680] (-3638.905) (-3623.661) (-3632.567) * [-3638.395] (-3640.350) (-3639.977) (-3632.956) -- 0:02:04
895000 -- (-3632.142) (-3637.685) (-3655.306) [-3632.458] * (-3639.631) [-3631.110] (-3649.015) (-3645.440) -- 0:02:03
Average standard deviation of split frequencies: 0.006623
896000 -- (-3640.593) [-3631.702] (-3638.538) (-3637.951) * (-3629.235) (-3647.759) [-3636.355] (-3638.378) -- 0:02:02
897000 -- (-3639.679) (-3643.752) (-3646.218) [-3628.480] * (-3627.920) [-3628.318] (-3629.634) (-3638.412) -- 0:02:01
898000 -- (-3657.494) [-3622.773] (-3630.433) (-3633.219) * (-3629.320) (-3633.579) [-3649.195] (-3648.977) -- 0:02:00
899000 -- (-3620.970) (-3618.863) (-3646.810) [-3636.596] * [-3616.023] (-3632.800) (-3660.581) (-3644.731) -- 0:01:58
900000 -- [-3621.319] (-3641.096) (-3657.907) (-3621.508) * (-3621.790) (-3632.045) (-3638.944) [-3626.981] -- 0:01:57
Average standard deviation of split frequencies: 0.006916
901000 -- (-3628.411) (-3634.091) (-3640.140) [-3621.996] * [-3633.518] (-3627.257) (-3634.990) (-3647.701) -- 0:01:56
902000 -- (-3627.637) [-3624.350] (-3626.061) (-3641.614) * (-3637.945) [-3628.394] (-3626.204) (-3638.304) -- 0:01:55
903000 -- (-3627.313) [-3620.997] (-3633.630) (-3633.568) * (-3639.980) (-3625.528) (-3629.275) [-3625.466] -- 0:01:54
904000 -- (-3628.881) [-3627.715] (-3632.651) (-3639.966) * (-3645.167) [-3617.068] (-3634.900) (-3633.742) -- 0:01:52
905000 -- [-3626.159] (-3628.941) (-3639.439) (-3655.699) * (-3632.190) (-3635.557) [-3616.513] (-3641.722) -- 0:01:51
Average standard deviation of split frequencies: 0.007043
906000 -- (-3635.505) (-3640.085) [-3631.693] (-3640.447) * [-3629.028] (-3641.804) (-3628.176) (-3640.727) -- 0:01:50
907000 -- (-3646.893) (-3630.565) [-3634.456] (-3645.885) * [-3634.670] (-3646.304) (-3639.597) (-3645.201) -- 0:01:49
908000 -- (-3633.575) (-3645.869) [-3631.969] (-3642.887) * [-3623.935] (-3637.328) (-3626.848) (-3639.939) -- 0:01:48
909000 -- (-3637.869) (-3638.245) (-3629.777) [-3627.171] * (-3627.787) (-3649.700) (-3645.746) [-3630.336] -- 0:01:47
910000 -- (-3638.602) [-3632.125] (-3642.295) (-3641.741) * [-3623.797] (-3626.196) (-3641.680) (-3635.001) -- 0:01:45
Average standard deviation of split frequencies: 0.006933
911000 -- (-3648.902) (-3635.540) [-3637.859] (-3627.491) * (-3626.235) (-3649.778) (-3648.699) [-3620.703] -- 0:01:44
912000 -- (-3636.131) [-3624.318] (-3644.947) (-3652.142) * (-3630.972) (-3629.692) (-3634.246) [-3624.737] -- 0:01:43
913000 -- (-3630.515) [-3630.209] (-3650.297) (-3649.396) * (-3630.890) (-3640.391) (-3644.536) [-3616.252] -- 0:01:42
914000 -- [-3632.327] (-3654.478) (-3637.596) (-3646.494) * [-3624.289] (-3628.191) (-3639.451) (-3625.584) -- 0:01:41
915000 -- (-3638.581) (-3643.092) (-3632.338) [-3626.476] * (-3630.517) [-3635.774] (-3642.496) (-3638.696) -- 0:01:40
Average standard deviation of split frequencies: 0.007196
916000 -- (-3640.346) (-3645.619) [-3628.260] (-3651.691) * (-3646.726) (-3644.973) [-3632.284] (-3629.112) -- 0:01:38
917000 -- [-3634.654] (-3627.706) (-3626.904) (-3629.023) * (-3637.639) (-3625.627) [-3631.461] (-3634.945) -- 0:01:37
918000 -- [-3628.453] (-3638.844) (-3621.450) (-3625.492) * (-3643.686) (-3619.691) [-3619.232] (-3627.024) -- 0:01:36
919000 -- (-3627.612) (-3644.300) (-3655.959) [-3637.587] * (-3641.960) [-3637.811] (-3646.146) (-3622.248) -- 0:01:35
920000 -- (-3634.026) (-3645.594) [-3629.755] (-3638.856) * (-3636.930) (-3646.966) (-3643.765) [-3617.781] -- 0:01:34
Average standard deviation of split frequencies: 0.007095
921000 -- (-3643.800) (-3637.280) [-3620.683] (-3635.428) * (-3638.452) (-3631.312) (-3639.717) [-3632.405] -- 0:01:32
922000 -- [-3634.377] (-3635.798) (-3639.453) (-3639.157) * [-3632.432] (-3648.196) (-3629.626) (-3633.438) -- 0:01:31
923000 -- (-3641.193) (-3637.010) [-3623.551] (-3639.540) * (-3626.885) [-3627.754] (-3639.530) (-3630.261) -- 0:01:30
924000 -- [-3639.354] (-3627.163) (-3631.464) (-3642.558) * [-3635.825] (-3646.779) (-3638.198) (-3617.129) -- 0:01:29
925000 -- (-3640.883) [-3628.179] (-3658.864) (-3635.008) * [-3629.112] (-3647.956) (-3637.900) (-3625.479) -- 0:01:28
Average standard deviation of split frequencies: 0.006982
926000 -- (-3629.613) [-3630.079] (-3646.503) (-3630.368) * [-3621.141] (-3651.658) (-3636.473) (-3628.221) -- 0:01:27
927000 -- (-3629.247) (-3643.375) (-3639.546) [-3629.184] * (-3618.496) [-3628.239] (-3641.068) (-3631.823) -- 0:01:25
928000 -- [-3630.155] (-3643.924) (-3642.058) (-3638.188) * (-3626.942) [-3625.561] (-3637.141) (-3644.613) -- 0:01:24
929000 -- [-3625.628] (-3634.619) (-3637.813) (-3626.980) * [-3620.865] (-3633.441) (-3647.802) (-3627.220) -- 0:01:23
930000 -- (-3633.592) (-3669.654) (-3629.789) [-3639.377] * (-3629.908) [-3623.084] (-3645.072) (-3642.249) -- 0:01:22
Average standard deviation of split frequencies: 0.006919
931000 -- (-3660.342) (-3640.000) [-3627.173] (-3634.504) * (-3637.960) [-3627.416] (-3636.504) (-3649.493) -- 0:01:21
932000 -- (-3640.304) (-3635.742) [-3620.441] (-3630.096) * (-3643.608) [-3628.900] (-3637.982) (-3636.315) -- 0:01:20
933000 -- (-3655.342) (-3636.767) [-3616.113] (-3636.465) * [-3645.049] (-3637.419) (-3633.918) (-3647.064) -- 0:01:18
934000 -- (-3652.559) (-3630.455) (-3654.730) [-3629.794] * (-3643.501) (-3628.923) (-3642.394) [-3638.708] -- 0:01:17
935000 -- (-3641.713) [-3620.097] (-3634.623) (-3629.634) * (-3627.983) (-3646.297) (-3626.010) [-3627.988] -- 0:01:16
Average standard deviation of split frequencies: 0.007042
936000 -- (-3637.974) [-3627.409] (-3652.375) (-3629.515) * (-3626.913) (-3651.301) [-3629.935] (-3624.778) -- 0:01:15
937000 -- (-3633.913) (-3639.584) (-3639.307) [-3620.183] * (-3641.261) [-3623.712] (-3636.974) (-3626.756) -- 0:01:14
938000 -- (-3639.089) (-3620.885) (-3647.235) [-3614.750] * (-3631.744) (-3625.920) [-3630.544] (-3636.258) -- 0:01:12
939000 -- (-3633.125) (-3628.444) (-3639.273) [-3632.008] * [-3618.328] (-3645.883) (-3648.440) (-3636.344) -- 0:01:11
940000 -- (-3619.812) [-3639.983] (-3650.734) (-3643.546) * (-3625.488) (-3635.384) [-3639.318] (-3628.985) -- 0:01:10
Average standard deviation of split frequencies: 0.007275
941000 -- (-3631.465) (-3640.353) (-3645.153) [-3633.579] * (-3624.743) (-3649.159) [-3629.449] (-3624.864) -- 0:01:09
942000 -- [-3622.099] (-3659.282) (-3631.418) (-3632.664) * (-3634.984) (-3631.759) (-3641.682) [-3615.578] -- 0:01:08
943000 -- (-3637.467) [-3632.225] (-3638.055) (-3627.471) * (-3640.731) [-3630.074] (-3641.497) (-3634.368) -- 0:01:07
944000 -- (-3640.655) (-3640.261) [-3628.489] (-3628.951) * (-3636.131) (-3626.432) (-3626.856) [-3622.840] -- 0:01:05
945000 -- (-3639.452) (-3650.601) (-3632.663) [-3632.782] * [-3625.447] (-3637.767) (-3632.552) (-3627.601) -- 0:01:04
Average standard deviation of split frequencies: 0.007315
946000 -- (-3647.382) [-3622.425] (-3647.731) (-3624.867) * (-3633.468) [-3630.545] (-3641.795) (-3634.718) -- 0:01:03
947000 -- (-3634.166) (-3635.654) [-3630.098] (-3638.062) * (-3636.215) (-3642.169) (-3650.878) [-3628.026] -- 0:01:02
948000 -- [-3624.995] (-3633.880) (-3625.149) (-3633.997) * [-3631.643] (-3645.774) (-3631.640) (-3636.920) -- 0:01:01
949000 -- [-3622.155] (-3642.120) (-3627.441) (-3640.895) * [-3644.825] (-3632.090) (-3640.143) (-3649.933) -- 0:01:00
950000 -- (-3630.622) (-3644.352) (-3643.171) [-3629.463] * (-3628.534) [-3638.073] (-3654.381) (-3631.249) -- 0:00:58
Average standard deviation of split frequencies: 0.007296
951000 -- (-3625.162) (-3636.101) (-3638.588) [-3630.171] * (-3632.351) [-3629.615] (-3635.844) (-3629.727) -- 0:00:57
952000 -- (-3623.882) (-3646.487) (-3625.310) [-3636.162] * (-3624.717) (-3642.139) (-3638.158) [-3632.067] -- 0:00:56
953000 -- (-3635.828) (-3640.200) [-3628.151] (-3645.068) * (-3638.656) (-3635.158) (-3638.759) [-3625.461] -- 0:00:55
954000 -- [-3627.544] (-3628.588) (-3634.043) (-3642.456) * (-3645.947) (-3636.217) (-3620.485) [-3627.424] -- 0:00:54
955000 -- [-3632.113] (-3635.972) (-3642.429) (-3649.967) * [-3632.943] (-3643.716) (-3638.340) (-3639.386) -- 0:00:52
Average standard deviation of split frequencies: 0.007282
956000 -- (-3649.019) [-3627.443] (-3632.621) (-3629.823) * (-3645.602) (-3634.975) (-3657.601) [-3633.952] -- 0:00:51
957000 -- [-3637.645] (-3626.814) (-3630.004) (-3634.626) * (-3629.078) (-3631.089) [-3640.476] (-3637.399) -- 0:00:50
958000 -- (-3641.732) (-3627.505) [-3624.757] (-3624.304) * (-3624.089) (-3628.038) (-3649.341) [-3624.965] -- 0:00:49
959000 -- (-3632.552) [-3637.908] (-3627.099) (-3635.438) * (-3629.954) (-3640.668) [-3624.413] (-3636.147) -- 0:00:48
960000 -- (-3642.904) (-3648.929) (-3626.276) [-3627.812] * (-3650.684) (-3634.856) [-3624.213] (-3642.751) -- 0:00:47
Average standard deviation of split frequencies: 0.007290
961000 -- (-3638.329) [-3643.529] (-3639.642) (-3631.121) * [-3631.989] (-3637.260) (-3650.997) (-3616.021) -- 0:00:45
962000 -- (-3633.472) (-3638.124) [-3629.705] (-3652.855) * [-3624.081] (-3625.396) (-3646.493) (-3644.825) -- 0:00:44
963000 -- [-3623.913] (-3644.567) (-3643.833) (-3649.580) * (-3637.957) [-3625.493] (-3629.009) (-3630.258) -- 0:00:43
964000 -- [-3621.056] (-3634.415) (-3647.050) (-3636.853) * (-3644.173) [-3617.443] (-3625.191) (-3628.995) -- 0:00:42
965000 -- (-3642.075) (-3630.211) (-3654.688) [-3625.048] * (-3633.645) [-3626.610] (-3649.077) (-3623.153) -- 0:00:41
Average standard deviation of split frequencies: 0.007198
966000 -- (-3643.017) (-3633.300) (-3639.715) [-3623.017] * (-3640.792) [-3631.073] (-3648.505) (-3625.378) -- 0:00:40
967000 -- (-3637.138) (-3627.421) (-3640.154) [-3618.277] * (-3642.004) (-3631.413) (-3641.007) [-3637.007] -- 0:00:38
968000 -- (-3636.498) (-3624.642) [-3630.134] (-3617.927) * [-3630.116] (-3635.353) (-3652.633) (-3640.523) -- 0:00:37
969000 -- (-3632.608) (-3635.745) (-3627.609) [-3629.497] * (-3654.329) (-3634.445) (-3652.373) [-3642.011] -- 0:00:36
970000 -- [-3617.772] (-3629.575) (-3629.886) (-3638.946) * [-3638.651] (-3620.218) (-3648.974) (-3634.195) -- 0:00:35
Average standard deviation of split frequencies: 0.007181
971000 -- [-3625.979] (-3633.214) (-3636.453) (-3628.101) * (-3647.834) [-3623.065] (-3643.321) (-3630.557) -- 0:00:34
972000 -- [-3629.548] (-3628.819) (-3637.201) (-3633.932) * (-3645.006) (-3633.939) (-3630.633) [-3622.564] -- 0:00:32
973000 -- (-3640.818) (-3631.050) (-3650.374) [-3640.125] * (-3633.605) (-3635.541) [-3615.029] (-3637.616) -- 0:00:31
974000 -- (-3627.881) (-3639.170) (-3623.435) [-3624.190] * [-3622.766] (-3634.988) (-3624.245) (-3630.425) -- 0:00:30
975000 -- (-3637.619) [-3639.713] (-3646.057) (-3637.120) * (-3630.558) [-3641.992] (-3625.636) (-3631.134) -- 0:00:29
Average standard deviation of split frequencies: 0.007167
976000 -- (-3645.259) (-3637.357) (-3635.195) [-3624.239] * [-3635.260] (-3629.110) (-3634.203) (-3639.143) -- 0:00:28
977000 -- [-3628.926] (-3626.578) (-3655.515) (-3640.701) * (-3639.358) (-3631.909) (-3638.584) [-3632.766] -- 0:00:27
978000 -- [-3629.988] (-3637.645) (-3632.347) (-3646.565) * (-3626.862) (-3628.647) [-3628.042] (-3640.947) -- 0:00:25
979000 -- [-3622.282] (-3640.829) (-3640.897) (-3641.224) * (-3628.866) [-3623.928] (-3638.039) (-3667.481) -- 0:00:24
980000 -- [-3626.213] (-3653.815) (-3629.390) (-3626.576) * (-3628.673) [-3640.046] (-3639.504) (-3634.125) -- 0:00:23
Average standard deviation of split frequencies: 0.007056
981000 -- [-3621.542] (-3650.601) (-3647.184) (-3634.715) * (-3648.184) (-3643.192) [-3627.814] (-3632.768) -- 0:00:22
982000 -- [-3630.278] (-3653.671) (-3639.699) (-3627.826) * [-3618.900] (-3646.904) (-3637.800) (-3654.151) -- 0:00:21
983000 -- (-3638.544) (-3632.802) [-3629.444] (-3636.460) * (-3626.430) [-3638.211] (-3633.196) (-3651.651) -- 0:00:20
984000 -- (-3637.286) [-3633.279] (-3634.332) (-3634.872) * (-3644.267) (-3621.752) (-3624.612) [-3635.418] -- 0:00:18
985000 -- (-3637.782) (-3628.579) [-3627.505] (-3642.184) * [-3642.240] (-3630.647) (-3621.301) (-3651.333) -- 0:00:17
Average standard deviation of split frequencies: 0.007060
986000 -- (-3639.211) (-3644.841) [-3628.842] (-3626.638) * (-3633.827) (-3649.242) [-3627.329] (-3639.341) -- 0:00:16
987000 -- (-3638.650) [-3621.036] (-3632.393) (-3626.741) * (-3629.055) [-3629.275] (-3643.204) (-3639.374) -- 0:00:15
988000 -- [-3629.729] (-3631.794) (-3633.169) (-3640.041) * (-3635.364) (-3621.420) (-3647.917) [-3623.233] -- 0:00:14
989000 -- (-3643.377) [-3618.732] (-3632.138) (-3639.385) * (-3622.026) [-3626.860] (-3627.577) (-3646.658) -- 0:00:12
990000 -- (-3620.267) [-3616.842] (-3633.597) (-3631.382) * (-3634.904) [-3642.702] (-3640.071) (-3637.574) -- 0:00:11
Average standard deviation of split frequencies: 0.007121
991000 -- (-3631.375) (-3630.602) [-3622.577] (-3630.047) * (-3637.380) (-3640.542) (-3635.106) [-3637.920] -- 0:00:10
992000 -- (-3640.991) (-3642.040) [-3627.117] (-3628.396) * [-3634.328] (-3636.837) (-3650.955) (-3646.710) -- 0:00:09
993000 -- [-3627.988] (-3645.239) (-3624.379) (-3636.323) * (-3635.681) [-3619.173] (-3639.909) (-3638.302) -- 0:00:08
994000 -- (-3653.659) (-3631.423) (-3632.401) [-3623.885] * (-3629.291) [-3625.748] (-3649.718) (-3618.185) -- 0:00:07
995000 -- (-3630.560) [-3632.510] (-3641.317) (-3639.657) * (-3628.208) [-3636.244] (-3642.969) (-3632.717) -- 0:00:05
Average standard deviation of split frequencies: 0.007099
996000 -- (-3630.882) (-3636.141) [-3634.781] (-3635.973) * [-3623.382] (-3645.750) (-3643.401) (-3629.618) -- 0:00:04
997000 -- [-3623.150] (-3659.324) (-3640.384) (-3630.829) * (-3634.097) (-3632.876) (-3638.120) [-3623.232] -- 0:00:03
998000 -- (-3628.059) (-3639.259) [-3638.398] (-3629.104) * (-3651.024) [-3631.280] (-3629.450) (-3641.437) -- 0:00:02
999000 -- [-3625.173] (-3631.670) (-3651.986) (-3630.032) * (-3633.456) [-3637.973] (-3646.257) (-3623.851) -- 0:00:01
1000000 -- (-3635.550) [-3623.130] (-3645.329) (-3622.610) * (-3627.662) (-3634.926) [-3630.635] (-3638.922) -- 0:00:00
Average standard deviation of split frequencies: 0.006864
Analysis completed in 19 mins 38 seconds
Analysis used 1176.53 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -3603.84
Likelihood of best state for "cold" chain of run 2 was -3607.72
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
38.8 % ( 29 %) Dirichlet(Revmat{all})
56.5 % ( 46 %) Slider(Revmat{all})
22.7 % ( 18 %) Dirichlet(Pi{all})
26.5 % ( 24 %) Slider(Pi{all})
42.5 % ( 31 %) Multiplier(Alpha{1,2})
51.9 % ( 31 %) Multiplier(Alpha{3})
61.8 % ( 45 %) Slider(Pinvar{all})
22.0 % ( 21 %) ExtSPR(Tau{all},V{all})
19.3 % ( 26 %) ExtTBR(Tau{all},V{all})
32.7 % ( 33 %) NNI(Tau{all},V{all})
25.5 % ( 19 %) ParsSPR(Tau{all},V{all})
26.8 % ( 24 %) Multiplier(V{all})
48.0 % ( 52 %) Nodeslider(V{all})
24.9 % ( 24 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
37.7 % ( 31 %) Dirichlet(Revmat{all})
57.6 % ( 45 %) Slider(Revmat{all})
22.5 % ( 26 %) Dirichlet(Pi{all})
26.3 % ( 35 %) Slider(Pi{all})
43.0 % ( 23 %) Multiplier(Alpha{1,2})
51.4 % ( 22 %) Multiplier(Alpha{3})
61.5 % ( 34 %) Slider(Pinvar{all})
22.0 % ( 22 %) ExtSPR(Tau{all},V{all})
19.1 % ( 19 %) ExtTBR(Tau{all},V{all})
32.5 % ( 35 %) NNI(Tau{all},V{all})
25.8 % ( 23 %) ParsSPR(Tau{all},V{all})
26.8 % ( 26 %) Multiplier(V{all})
47.6 % ( 51 %) Nodeslider(V{all})
25.0 % ( 23 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.61 0.32 0.15
2 | 167020 0.63 0.34
3 | 166541 166504 0.64
4 | 166657 166424 166854
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.60 0.31 0.14
2 | 166488 0.63 0.35
3 | 166546 166545 0.65
4 | 166628 166745 167048
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)
+------------------------------------------------------------+ -3624.05
| 2 1 |
| |
| 1 1|
| 2 1 * |
| 2 1111 2 2 |
| 21 22 2* 1 12 2 |
|2 22 *2 * 11 1 1 21 2 1 |
| 2 1 1 1 2 2 *1 11 2 2 |
|1 2 1 2 1 2211 2 1 12 2 2 1 1 |
| 1 * 2 2 2 2 1 1 * 22 1 |
| 1 22 2 222 12 2 1 1 2|
| 1 1 1 1 1 1 1 |
| 2 1 2 1 2 2 1 2 |
| 1 1 2 |
| 1 2 2 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -3631.89
^ ^
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 -3616.77 -3646.86
2 -3615.30 -3648.16
--------------------------------------
TOTAL -3615.78 -3647.71
--------------------------------------
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} 0.331660 0.000707 0.280544 0.383553 0.330312 1159.59 1256.49 1.000
r(A<->C){all} 0.075708 0.000363 0.042060 0.115061 0.074120 873.99 875.86 1.000
r(A<->G){all} 0.161260 0.000600 0.111928 0.207197 0.159925 766.34 857.04 1.000
r(A<->T){all} 0.066380 0.000154 0.042655 0.090581 0.065839 928.26 1045.31 1.000
r(C<->G){all} 0.067315 0.000452 0.027251 0.107719 0.065021 692.79 810.31 1.000
r(C<->T){all} 0.519392 0.001192 0.453482 0.587695 0.519718 681.19 704.68 1.000
r(G<->T){all} 0.109944 0.000300 0.075200 0.142639 0.108983 858.05 931.65 1.000
pi(A){all} 0.251118 0.000134 0.229547 0.274709 0.251095 1086.45 1124.60 1.000
pi(C){all} 0.168942 0.000086 0.151095 0.187086 0.168834 1224.40 1262.69 1.000
pi(G){all} 0.185162 0.000108 0.166276 0.207518 0.184713 1103.37 1110.16 1.000
pi(T){all} 0.394778 0.000157 0.369801 0.419085 0.394900 984.53 1148.67 1.000
alpha{1,2} 0.433812 0.038603 0.157430 0.821633 0.387711 1002.14 1046.42 1.000
alpha{3} 1.717336 0.950467 0.454146 3.730477 1.479418 920.60 936.48 1.000
pinvar{all} 0.300085 0.013086 0.061682 0.500544 0.311536 689.57 749.35 1.001
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
Setting sumt conformat to Simple
Setting urn-in to 2500
Summarizing trees in files "/data/mrbayes_input.nex.run1.t" and "/data/mrbayes_input.nex.run2.t"
Using relative burnin ('relburnin=yes'), discarding the first 25 % of sampled trees
Writing statistics to files /data/mrbayes_input.nex.<parts|tstat|vstat|trprobs|con>
Examining first file ...
Found one tree block in file "/data/mrbayes_input.nex.run1.t" with 2001 trees in last block
Expecting the same number of trees in the last tree block of all files
Tree reading status:
0 10 20 30 40 50 60 70 80 90 100
v-------v-------v-------v-------v-------v-------v-------v-------v-------v-------v
*********************************************************************************
Read a total of 4002 trees in 2 files (sampling 3002 of them)
(Each file contained 2001 trees of which 1501 were sampled)
General explanation:
In an unrooted tree, a taxon bipartition (split) is specified by removing a
branch, thereby dividing the species into those to the left and those to the
right of the branch. Here, taxa to one side of the removed branch are denoted
'.' and those to the other side are denoted '*'. Specifically, the '.' symbol
is used for the taxa on the same side as the outgroup.
In a rooted or clock tree, the tree is rooted using the model and not by
reference to an outgroup. Each bipartition therefore corresponds to a clade,
that is, a group that includes all the descendants of a particular branch in
the tree. Taxa that are included in each clade are denoted using '*', and
taxa that are not included are denoted using the '.' symbol.
The output first includes a key to all the bipartitions with frequency larger
or equual to (Minpartfreq) in at least one run. Minpartfreq is a parameter to
sumt command and currently it is set to 0.10. This is followed by a table
with statistics for the informative bipartitions (those including at least
two taxa), sorted from highest to lowest probability. For each bipartition,
the table gives the number of times the partition or split was observed in all
runs (#obs) and the posterior probability of the bipartition (Probab.), which
is the same as the split frequency. If several runs are summarized, this is
followed by the minimum split frequency (Min(s)), the maximum frequency
(Max(s)), and the standard deviation of frequencies (Stddev(s)) across runs.
The latter value should approach 0 for all bipartitions as MCMC runs converge.
This is followed by a table summarizing branch lengths, node heights (if a
clock model was used) and relaxed clock parameters (if a relaxed clock model
was used). The mean, variance, and 95 % credible interval are given for each
of these parameters. If several runs are summarized, the potential scale
reduction factor (PSRF) is also given; it should approach 1 as runs converge.
Node heights will take calibration points into account, if such points were
used in the analysis.
Note that Stddev may be unreliable if the partition is not present in all
runs (the last column indicates the number of runs that sampled the partition
if more than one run is summarized). The PSRF is not calculated at all if
the partition is not present in all runs.The PSRF is also sensitive to small
sample sizes and it should only be considered a rough guide to convergence
since some of the assumptions allowing one to interpret it as a true potential
scale reduction factor are violated in MrBayes.
List of taxa in bipartitions:
1 -- C232
2 -- C28
3 -- C77
4 -- C165
5 -- C253
6 -- C291
7 -- C40
8 -- C19
9 -- C22
10 -- C54
11 -- C143
12 -- C205
13 -- C124
14 -- C102
15 -- C137
16 -- C144
17 -- C27
18 -- C35
19 -- C158
20 -- C192
21 -- C200
22 -- C212
23 -- C237
24 -- C242
25 -- C254
26 -- C258
27 -- C263
28 -- C37
29 -- C83
30 -- C142
Key to taxon bipartitions (saved to file "/data/mrbayes_input.nex.parts"):
ID -- Partition
------------------------------------
1 -- .*****************************
2 -- .*............................
3 -- ..*...........................
4 -- ...*..........................
5 -- ....*.........................
6 -- .....*........................
7 -- ......*.......................
8 -- .......*......................
9 -- ........*.....................
10 -- .........*....................
11 -- ..........*...................
12 -- ...........*..................
13 -- ............*.................
14 -- .............*................
15 -- ..............*...............
16 -- ...............*..............
17 -- ................*.............
18 -- .................*............
19 -- ..................*...........
20 -- ...................*..........
21 -- ....................*.........
22 -- .....................*........
23 -- ......................*.......
24 -- .......................*......
25 -- ........................*.....
26 -- .........................*....
27 -- ..........................*...
28 -- ...........................*..
29 -- ............................*.
30 -- .............................*
31 -- ...*........................*.
32 -- ...*..***....*...**..*.....**.
33 -- ...*..*.*........**........**.
34 -- ....*.....*...**.......****..*
35 -- ..........*....*..............
36 -- ...*..***..*.*...*****.....**.
37 -- .......*.....*................
38 -- ..............*...........*...
39 -- ...*..***..*.*...**.**.....**.
40 -- .......................*.*....
41 -- .**.**...**.*.**......*****..*
42 -- .**.*.....*.*.**......*****..*
43 -- ......*..........*.........*..
44 -- .**.**....*.*.**......*****..*
45 -- ....*...................*.....
46 -- ..*.*.....*.*.**.......****..*
47 -- ....*.........*.........*.*...
48 -- ..*.........*.................
49 -- .***************.*************
50 -- ....*.....*.*.**.......****..*
51 -- ..*.*.....*.*.**......*****..*
52 -- ...*..***....*...**.**.....**.
53 -- ...*..*.*........**..*.....**.
54 -- ...........*........*.........
55 -- ...*..***....*...**........**.
56 -- ......*..........*............
57 -- .................*.........*..
58 -- .**.**...**.*.***.....*****..*
59 -- ......*....................*..
60 -- .......*.....*.......*........
61 -- ..............*........*.**...
62 -- ...*..***..*.*...**..*.....**.
63 -- .**.*.....*.*.**.......****..*
64 -- ....*.........*........****...
65 -- ..........*....*.............*
66 -- ...*..*..........**........**.
67 -- ...*....*...................*.
68 -- ...*....*.........*.........*.
69 -- ......*.*........**........*..
70 -- ......*..........**........*..
71 -- ......*.*........*.........*..
72 -- ...*..*..........*.........**.
73 -- ...*..............*.........*.
74 -- ........*.........*...........
75 -- ....*.........*........****..*
76 -- ...*..*.*........*.........**.
77 -- ....*.....*...**.......****...
78 -- ..*.........*.........*.......
79 -- .*....................*.......
80 -- ...*..***..*.*..******.....**.
81 -- ....*.....*...**........*.*..*
82 -- ....*.........*.........*.*..*
83 -- ..........*....*.......*.*....
84 -- ..........*....*.......*.*...*
85 -- .......................*.*...*
86 -- ....*.....*...**........*.*...
------------------------------------
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 2999 0.999001 0.000471 0.998668 0.999334 2
38 2998 0.998668 0.000942 0.998001 0.999334 2
39 2987 0.995003 0.000471 0.994670 0.995336 2
40 2983 0.993671 0.001413 0.992672 0.994670 2
41 2965 0.987675 0.002355 0.986009 0.989340 2
42 2870 0.956029 0.017901 0.943371 0.968688 2
43 2849 0.949034 0.001413 0.948035 0.950033 2
44 2755 0.917722 0.006124 0.913391 0.922052 2
45 2680 0.892738 0.012248 0.884077 0.901399 2
46 2254 0.750833 0.000942 0.750167 0.751499 2
47 1865 0.621252 0.027794 0.601599 0.640906 2
48 1727 0.575283 0.008951 0.568954 0.581612 2
49 1602 0.533644 0.026381 0.514990 0.552298 2
50 1196 0.398401 0.000000 0.398401 0.398401 2
51 1175 0.391406 0.002355 0.389740 0.393071 2
52 1073 0.357428 0.001413 0.356429 0.358428 2
53 1027 0.342105 0.006124 0.337775 0.346436 2
54 1026 0.341772 0.017901 0.329114 0.354430 2
55 1025 0.341439 0.011777 0.333111 0.349767 2
56 1000 0.333111 0.014133 0.323118 0.343105 2
57 990 0.329780 0.014133 0.319787 0.339773 2
58 976 0.325117 0.032976 0.301799 0.348434 2
59 975 0.324783 0.001413 0.323784 0.325783 2
60 950 0.316456 0.005653 0.312458 0.320453 2
61 931 0.310127 0.015546 0.299134 0.321119 2
62 892 0.297135 0.019786 0.283145 0.311126 2
63 834 0.277815 0.001884 0.276482 0.279147 2
64 778 0.259161 0.003769 0.256496 0.261825 2
65 687 0.228847 0.000471 0.228514 0.229181 2
66 621 0.206862 0.001413 0.205863 0.207861 2
67 615 0.204863 0.005182 0.201199 0.208528 2
68 615 0.204863 0.007066 0.199867 0.209860 2
69 606 0.201865 0.004711 0.198534 0.205197 2
70 594 0.197868 0.003769 0.195203 0.200533 2
71 589 0.196203 0.012719 0.187209 0.205197 2
72 588 0.195869 0.005653 0.191872 0.199867 2
73 575 0.191539 0.005182 0.187875 0.195203 2
74 574 0.191206 0.011306 0.183211 0.199201 2
75 572 0.190540 0.002827 0.188541 0.192538 2
76 566 0.188541 0.006595 0.183877 0.193205 2
77 555 0.184877 0.003298 0.182545 0.187209 2
78 506 0.168554 0.007537 0.163225 0.173884 2
79 498 0.165889 0.001884 0.164557 0.167222 2
80 423 0.140906 0.007066 0.135909 0.145903 2
81 404 0.134577 0.008480 0.128581 0.140573 2
82 351 0.116922 0.001413 0.115923 0.117921 2
83 336 0.111925 0.000942 0.111259 0.112592 2
84 335 0.111592 0.016488 0.099933 0.123251 2
85 318 0.105929 0.004711 0.102598 0.109260 2
86 312 0.103931 0.009422 0.097268 0.110593 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] 0.112350 0.000208 0.085025 0.140857 0.111468 1.000 2
length{all}[2] 0.007215 0.000006 0.002916 0.011904 0.006928 1.000 2
length{all}[3] 0.003454 0.000003 0.000632 0.006896 0.003185 1.003 2
length{all}[4] 0.001565 0.000001 0.000044 0.003727 0.001305 1.000 2
length{all}[5] 0.003205 0.000003 0.000641 0.006580 0.002911 1.000 2
length{all}[6] 0.002322 0.000002 0.000086 0.005390 0.001996 1.000 2
length{all}[7] 0.000757 0.000001 0.000000 0.002277 0.000521 1.001 2
length{all}[8] 0.002264 0.000002 0.000242 0.005055 0.001981 1.000 2
length{all}[9] 0.003046 0.000002 0.000592 0.006065 0.002766 1.000 2
length{all}[10] 0.020286 0.000020 0.011787 0.028623 0.019974 1.001 2
length{all}[11] 0.000759 0.000001 0.000001 0.002291 0.000514 1.000 2
length{all}[12] 0.001447 0.000001 0.000001 0.003422 0.001221 1.000 2
length{all}[13] 0.007453 0.000006 0.003287 0.012293 0.007185 1.000 2
length{all}[14] 0.005482 0.000005 0.002156 0.010046 0.005210 1.000 2
length{all}[15] 0.000774 0.000001 0.000000 0.002277 0.000541 1.000 2
length{all}[16] 0.000771 0.000001 0.000000 0.002278 0.000525 1.000 2
length{all}[17] 0.008222 0.000010 0.002755 0.014322 0.007917 1.000 2
length{all}[18] 0.000761 0.000001 0.000000 0.002321 0.000514 1.000 2
length{all}[19] 0.002337 0.000002 0.000277 0.005055 0.002069 1.000 2
length{all}[20] 0.013920 0.000014 0.006851 0.020918 0.013594 1.000 2
length{all}[21] 0.002223 0.000002 0.000278 0.004875 0.001974 1.000 2
length{all}[22] 0.002291 0.000002 0.000240 0.004857 0.002048 1.001 2
length{all}[23] 0.002198 0.000002 0.000086 0.004853 0.001914 1.000 2
length{all}[24] 0.003064 0.000002 0.000682 0.006165 0.002814 1.000 2
length{all}[25] 0.003998 0.000003 0.001031 0.007801 0.003725 1.000 2
length{all}[26] 0.003005 0.000002 0.000509 0.005841 0.002720 1.001 2
length{all}[27] 0.001473 0.000001 0.000012 0.003492 0.001214 1.000 2
length{all}[28] 0.001535 0.000001 0.000032 0.003573 0.001299 1.000 2
length{all}[29] 0.003887 0.000003 0.000952 0.007428 0.003634 1.000 2
length{all}[30] 0.002245 0.000002 0.000275 0.004896 0.002006 1.000 2
length{all}[31] 0.003833 0.000003 0.000859 0.007346 0.003531 1.000 2
length{all}[32] 0.011056 0.000009 0.005743 0.017227 0.010750 1.000 2
length{all}[33] 0.007820 0.000006 0.003402 0.012663 0.007522 1.000 2
length{all}[34] 0.003361 0.000003 0.000559 0.006621 0.003105 1.000 2
length{all}[35] 0.004600 0.000004 0.001280 0.008146 0.004314 1.000 2
length{all}[36] 0.033605 0.000039 0.022268 0.046214 0.033272 1.000 2
length{all}[37] 0.003050 0.000002 0.000470 0.006046 0.002789 1.000 2
length{all}[38] 0.002176 0.000002 0.000109 0.004673 0.001940 1.000 2
length{all}[39] 0.005930 0.000006 0.001588 0.011035 0.005671 1.000 2
length{all}[40] 0.001926 0.000002 0.000015 0.004330 0.001666 1.000 2
length{all}[41] 0.005623 0.000006 0.001103 0.010516 0.005300 1.000 2
length{all}[42] 0.002780 0.000002 0.000208 0.005831 0.002534 1.001 2
length{all}[43] 0.001528 0.000001 0.000020 0.003661 0.001282 1.000 2
length{all}[44] 0.003780 0.000004 0.000489 0.007589 0.003445 1.000 2
length{all}[45] 0.001896 0.000002 0.000035 0.004213 0.001621 1.000 2
length{all}[46] 0.001847 0.000002 0.000060 0.004391 0.001566 1.000 2
length{all}[47] 0.001565 0.000001 0.000100 0.003874 0.001264 0.999 2
length{all}[48] 0.001974 0.000002 0.000108 0.004704 0.001742 0.999 2
length{all}[49] 0.003220 0.000005 0.000010 0.007342 0.002806 1.000 2
length{all}[50] 0.001698 0.000001 0.000010 0.004037 0.001431 0.999 2
length{all}[51] 0.001163 0.000001 0.000002 0.003258 0.000878 0.999 2
length{all}[52] 0.000947 0.000001 0.000000 0.002905 0.000657 1.001 2
length{all}[53] 0.000841 0.000001 0.000001 0.002483 0.000569 0.999 2
length{all}[54] 0.000826 0.000001 0.000001 0.002473 0.000547 1.000 2
length{all}[55] 0.000883 0.000001 0.000001 0.002694 0.000589 0.999 2
length{all}[56] 0.000791 0.000001 0.000000 0.002313 0.000547 0.999 2
length{all}[57] 0.000761 0.000001 0.000002 0.002266 0.000505 0.999 2
length{all}[58] 0.002598 0.000004 0.000001 0.006678 0.002076 0.999 2
length{all}[59] 0.000763 0.000001 0.000000 0.002232 0.000508 0.999 2
length{all}[60] 0.000818 0.000001 0.000001 0.002588 0.000579 1.003 2
length{all}[61] 0.001535 0.000001 0.000004 0.003741 0.001213 1.002 2
length{all}[62] 0.000837 0.000001 0.000000 0.002431 0.000617 1.000 2
length{all}[63] 0.001169 0.000001 0.000001 0.003136 0.000875 0.999 2
length{all}[64] 0.001100 0.000001 0.000001 0.003047 0.000856 1.005 2
length{all}[65] 0.000879 0.000001 0.000000 0.002609 0.000626 0.999 2
length{all}[66] 0.000786 0.000001 0.000006 0.002402 0.000498 0.999 2
length{all}[67] 0.000815 0.000001 0.000002 0.002469 0.000542 0.999 2
length{all}[68] 0.000842 0.000001 0.000002 0.002284 0.000628 0.999 2
length{all}[69] 0.000721 0.000001 0.000000 0.002155 0.000490 1.006 2
length{all}[70] 0.000842 0.000001 0.000001 0.002281 0.000611 0.999 2
length{all}[71] 0.000854 0.000001 0.000001 0.002581 0.000568 1.002 2
length{all}[72] 0.000839 0.000001 0.000000 0.002436 0.000594 1.001 2
length{all}[73] 0.000799 0.000001 0.000004 0.002386 0.000557 1.000 2
length{all}[74] 0.000705 0.000001 0.000001 0.002134 0.000484 0.998 2
length{all}[75] 0.000816 0.000001 0.000005 0.002301 0.000567 1.003 2
length{all}[76] 0.000752 0.000001 0.000001 0.002300 0.000514 1.003 2
length{all}[77] 0.000833 0.000001 0.000001 0.002515 0.000560 0.998 2
length{all}[78] 0.001476 0.000001 0.000074 0.003512 0.001247 0.999 2
length{all}[79] 0.000833 0.000001 0.000001 0.002522 0.000574 0.999 2
length{all}[80] 0.001909 0.000003 0.000008 0.005589 0.001442 0.998 2
length{all}[81] 0.000834 0.000001 0.000004 0.002278 0.000605 0.998 2
length{all}[82] 0.000774 0.000001 0.000004 0.002380 0.000543 0.997 2
length{all}[83] 0.000830 0.000001 0.000002 0.002437 0.000615 1.000 2
length{all}[84] 0.000725 0.000001 0.000005 0.002034 0.000495 0.998 2
length{all}[85] 0.000756 0.000001 0.000000 0.002323 0.000561 0.997 2
length{all}[86] 0.000793 0.000001 0.000003 0.002138 0.000583 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 = 0.006864
Maximum standard deviation of split frequencies = 0.032976
Average PSRF for parameter values (excluding NA and >10.0) = 1.000
Maximum PSRF for parameter values = 1.006
Clade credibility values:
/--------------------------------------------------------------------- C232 (1)
|
|--------------------------------------------------------------------- C27 (17)
|
| /-------------------------------------- C28 (2)
| |
| | /-------- C77 (3)
| | /----------58----------+
| | | \-------- C124 (13)
| | |
| | | /-------- C253 (5)
| | | /--89--+
| | | | \-------- C254 (25)
| | | /---62--+
| |--75--+ | | /-------- C137 (15)
| | | | \--100-+
| /---96--+ | | \-------- C263 (27)
| | | | |
| | | | | /-------- C143 (11)
| | | | |------100-----+
| | | \--100--+ \-------- C144 (16)
+ | | |
| | | | /-------- C242 (24)
| /---92--+ | |------99------+
| | | | | \-------- C258 (26)
| | | | |
| | | | \----------------------- C142 (30)
| | | |
| /--99--+ | \-------------------------------------- C237 (23)
| | | |
| | | \---------------------------------------------- C291 (6)
| | |
| | \------------------------------------------------------ C54 (10)
| |
| | /-------- C165 (4)
| | /--100-+
| | | \-------- C83 (29)
| | |
| | | /-------- C40 (7)
| | | |
| | |--95--+-------- C35 (18)
| | /--100--+ |
\---53--+ | | \-------- C37 (28)
| | |
| | |--------------- C22 (9)
| | |
| | \--------------- C158 (19)
| /--100--+
| | | /-------- C19 (8)
| | |------100-----+
| | | \-------- C102 (14)
| | |
| /--100-+ \----------------------- C212 (22)
| | |
| | |------------------------------- C205 (12)
\----------100---------+ |
| \------------------------------- C200 (21)
|
\-------------------------------------- C192 (20)
Phylogram (based on average branch lengths):
/---------------------------------------------------------------------- C232 (1)
|
|----- C27 (17)
|
| /---- C28 (2)
| |
| | /-- C77 (3)
| |/+
| ||\---- C124 (13)
| ||
| || /- C253 (5)
| || /+
| || |\-- C254 (25)
| || /+
| |+ ||/ C137 (15)
| || |\+
| /-+| | \- C263 (27)
| | || |
| | || | /- C143 (11)
| | || |-+
| | |\-+ \- C144 (16)
+ | | |
| | | |/-- C242 (24)
| /-+ | |+
| | | | |\-- C258 (26)
| | | | |
| | | | \- C142 (30)
| | | |
| /--+ | \- C237 (23)
| | | |
| | | \-- C291 (6)
| | |
| | \------------- C54 (10)
| |
| | /- C165 (4)
| | /-+
| | | \-- C83 (29)
| | |
| | |- C40 (7)
| | |
| | |- C35 (18)
| | /----+
\-+ | |- C37 (28)
| | |
| | |- C22 (9)
| | |
| | \- C158 (19)
| /------+
| | | /- C19 (8)
| | |-+
| | | \--- C102 (14)
| | |
| /--+ \- C212 (22)
| | |
| | |- C205 (12)
\--------------------+ |
| \- C200 (21)
|
\-------- C192 (20)
|-----------| 0.020 expected changes per site
Calculating tree probabilities...
Credible sets of trees (2992 trees sampled):
50 % credible set contains 1491 trees
90 % credible set contains 2692 trees
95 % credible set contains 2842 trees
99 % credible set contains 2962 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 14:39:14 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10632_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Sat Nov 19 06:01:01 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10632_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/codeml,DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10632_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 C102 1284 sites
reading seq# 2 C144 1284 sites
reading seq# 3 C137 1284 sites
reading seq# 4 C143 1284 sites
reading seq# 5 C35 1284 sites
reading seq# 6 C27 1284 sites
reading seq# 7 C158 1284 sites
reading seq# 8 C124 1284 sites
reading seq# 9 C37 1284 sites
reading seq#10 C192 1284 sites
reading seq#11 C28 1284 sites
reading seq#12 C232 1284 sites
reading seq#13 C77 1284 sites
reading seq#14 C200 1284 sites
reading seq#15 C212 1284 sites
reading seq#16 C253 1284 sites
reading seq#17 C165 1284 sites
reading seq#18 C291 1284 sites
reading seq#19 C242 1284 sites
reading seq#20 C237 1284 sites
reading seq#21 C19 1284 sites
reading seq#22 C40 1284 sites
reading seq#23 C258 1284 sites
reading seq#24 C263 1284 sites
reading seq#25 C254 1284 sites
reading seq#26 C54 1284 sites
reading seq#27 C22 1284 sites
reading seq#28 C142 1284 sites
reading seq#29 C83 1284 sites
reading seq#30 C205 1284 sitesns = 30 ls = 1284
Reading sequences, sequential format..
Reading seq # 1: C102
Reading seq # 2: C144
Reading seq # 3: C137
Reading seq # 4: C143
Reading seq # 5: C35
Reading seq # 6: C27
Reading seq # 7: C158
Reading seq # 8: C124
Reading seq # 9: C37
Reading seq #10: C192
Reading seq #11: C28
Reading seq #12: C232
Reading seq #13: C77
Reading seq #14: C200
Reading seq #15: C212
Reading seq #16: C253
Reading seq #17: C165
Reading seq #18: C291
Reading seq #19: C242
Reading seq #20: C237
Reading seq #21: C19
Reading seq #22: C40
Reading seq #23: C258
Reading seq #24: C263
Reading seq #25: C254
Reading seq #26: C54
Reading seq #27: C22
Reading seq #28: C142
Reading seq #29: C83
Reading seq #30: C205
Sites with gaps or missing data are removed.
15 ambiguity characters in seq. 1
12 ambiguity characters in seq. 2
12 ambiguity characters in seq. 3
12 ambiguity characters in seq. 4
15 ambiguity characters in seq. 5
12 ambiguity characters in seq. 6
15 ambiguity characters in seq. 7
12 ambiguity characters in seq. 8
15 ambiguity characters in seq. 9
12 ambiguity characters in seq. 10
12 ambiguity characters in seq. 11
12 ambiguity characters in seq. 12
12 ambiguity characters in seq. 13
12 ambiguity characters in seq. 14
15 ambiguity characters in seq. 15
12 ambiguity characters in seq. 16
15 ambiguity characters in seq. 17
12 ambiguity characters in seq. 18
12 ambiguity characters in seq. 19
12 ambiguity characters in seq. 20
15 ambiguity characters in seq. 21
15 ambiguity characters in seq. 22
12 ambiguity characters in seq. 23
12 ambiguity characters in seq. 24
12 ambiguity characters in seq. 25
12 ambiguity characters in seq. 26
15 ambiguity characters in seq. 27
12 ambiguity characters in seq. 28
3 ambiguity characters in seq. 29
12 ambiguity characters in seq. 30
5 sites are removed. 167 168 169 170 187
Sequences read..
Counting site patterns.. 0:00
Compressing, 230 patterns at 423 / 423 sites (100.0%), 0:00
Collecting fpatt[] & pose[], 230 patterns at 423 / 423 sites (100.0%), 0:00
Counting codons..
3480 bytes for distance
224480 bytes for conP
20240 bytes for fhK
5000000 bytes for space
Model 1: NearlyNeutral
TREE # 1
(12, 6, ((((11, ((13, 8), (((16, 25), (3, 24)), (4, 2), (19, 23), 28)), 20), 18), 26), (((((17, 29), (22, 5, 9), 27, 7), (21, 1), 15), 30, 14), 10))); MP score: 311
2244800 bytes for conP, adjusted
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
32
0.037747 0.073455 0.091994 0.069715 0.032648 0.105359 0.030720 0.023768 0.074026 0.035796 0.024887 0.053835 0.022947 0.041081 0.076266 0.031506 0.041164 0.102490 0.091584 0.017161 0.040748 0.040871 0.070385 0.069721 0.064472 0.032417 0.104124 0.033656 0.076654 0.041511 0.053667 0.076675 0.019131 0.081619 0.047416 0.026539 0.062058 0.090129 0.017208 0.030424 0.054219 0.078105 0.064203 0.035288 0.052540 0.090877 0.021944 0.062675 0.085482 0.300000 0.821623 0.343823
ntime & nrate & np: 49 2 52
Bounds (np=52):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 0.999990 1.000000
Qfactor_NS = 12.501445
np = 52
lnL0 = -4453.652239
Iterating by ming2
Initial: fx= 4453.652239
x= 0.03775 0.07346 0.09199 0.06971 0.03265 0.10536 0.03072 0.02377 0.07403 0.03580 0.02489 0.05383 0.02295 0.04108 0.07627 0.03151 0.04116 0.10249 0.09158 0.01716 0.04075 0.04087 0.07039 0.06972 0.06447 0.03242 0.10412 0.03366 0.07665 0.04151 0.05367 0.07668 0.01913 0.08162 0.04742 0.02654 0.06206 0.09013 0.01721 0.03042 0.05422 0.07811 0.06420 0.03529 0.05254 0.09088 0.02194 0.06267 0.08548 0.30000 0.82162 0.34382
1 h-m-p 0.0000 0.0000 3245.8590 ++ 4125.276909 m 0.0000 57 | 1/52
2 h-m-p 0.0000 0.0000 2630.7444 ++ 4003.988604 m 0.0000 112 | 1/52
3 h-m-p 0.0000 0.0000 52145.1088 ++ 3960.015553 m 0.0000 167 | 1/52
4 h-m-p 0.0000 0.0000 88021.2550 ++ 3947.282194 m 0.0000 222 | 1/52
5 h-m-p 0.0000 0.0000 105974.8488 ++ 3923.664390 m 0.0000 277 | 2/52
6 h-m-p 0.0000 0.0000 10155.9149 ++ 3922.754512 m 0.0000 332 | 3/52
7 h-m-p 0.0000 0.0000 17836.6381 ++ 3898.241580 m 0.0000 387 | 3/52
8 h-m-p 0.0000 0.0000 12058.5622 ++ 3836.930361 m 0.0000 442 | 3/52
9 h-m-p 0.0000 0.0000 71232.6140 ++ 3806.497375 m 0.0000 497 | 3/52
10 h-m-p 0.0000 0.0000 12538.4749 +CYCYYCC 3792.923319 6 0.0000 563 | 3/52
11 h-m-p 0.0000 0.0000 25086.9826 +CYCYYCCC 3758.889038 7 0.0000 630 | 3/52
12 h-m-p 0.0000 0.0000 17022.8871 +YYCYCCC 3744.620280 6 0.0000 695 | 3/52
13 h-m-p 0.0000 0.0000 7453.1287 ++ 3736.042563 m 0.0000 750 | 4/52
14 h-m-p 0.0000 0.0000 7237.3631 +YYYYCCCCC 3726.610375 8 0.0000 818 | 4/52
15 h-m-p 0.0000 0.0000 19120.8801 +YYYCYCCC 3721.583913 7 0.0000 884 | 4/52
16 h-m-p 0.0000 0.0000 4760.5298 ++ 3712.928109 m 0.0000 939 | 5/52
17 h-m-p 0.0000 0.0000 5275.8059 +YCYYYCC 3705.106144 6 0.0000 1003 | 5/52
18 h-m-p 0.0000 0.0000 15349.1843 +YYCCC 3696.462995 4 0.0000 1065 | 5/52
19 h-m-p 0.0000 0.0000 2300.0256 +YYCCCC 3691.383134 5 0.0000 1129 | 5/52
20 h-m-p 0.0000 0.0000 4001.3248 ++ 3685.607555 m 0.0000 1184 | 5/52
21 h-m-p 0.0000 0.0000 7883.9735 +YYCCCCC 3641.543893 6 0.0000 1250 | 5/52
22 h-m-p 0.0000 0.0000 2662.3636 CCCCC 3635.840558 4 0.0000 1313 | 5/52
23 h-m-p 0.0000 0.0001 636.7299 +YYCCC 3625.457889 4 0.0001 1375 | 5/52
24 h-m-p 0.0000 0.0000 1899.8916 +YYYCCC 3614.808942 5 0.0000 1438 | 5/52
25 h-m-p 0.0000 0.0002 648.2054 YCCC 3608.747841 3 0.0001 1498 | 5/52
26 h-m-p 0.0000 0.0000 2399.6646 +YYCCC 3604.837805 4 0.0000 1560 | 5/52
27 h-m-p 0.0000 0.0001 1527.0321 +YCCCC 3598.911277 4 0.0000 1623 | 5/52
28 h-m-p 0.0000 0.0001 2329.4063 YCC 3595.328970 2 0.0000 1681 | 5/52
29 h-m-p 0.0000 0.0001 1023.4072 YCC 3593.361026 2 0.0000 1739 | 5/52
30 h-m-p 0.0000 0.0002 292.2786 CCC 3592.165687 2 0.0001 1798 | 5/52
31 h-m-p 0.0000 0.0002 158.4588 YYC 3591.949631 2 0.0000 1855 | 5/52
32 h-m-p 0.0000 0.0003 90.5950 CYC 3591.811603 2 0.0000 1913 | 5/52
33 h-m-p 0.0001 0.0006 62.6182 CC 3591.708951 1 0.0001 1970 | 5/52
34 h-m-p 0.0001 0.0009 65.1944 YC 3591.473677 1 0.0001 2026 | 5/52
35 h-m-p 0.0002 0.0016 33.3948 YCC 3590.673965 2 0.0004 2084 | 5/52
36 h-m-p 0.0001 0.0003 101.3694 YCYCCC 3588.945560 5 0.0001 2147 | 5/52
37 h-m-p 0.0001 0.0003 248.5185 +YYCCC 3580.993775 4 0.0002 2209 | 5/52
38 h-m-p 0.0000 0.0001 680.7056 +YYYCC 3574.098313 4 0.0001 2270 | 5/52
39 h-m-p 0.0000 0.0000 539.1250 ++ 3572.158784 m 0.0000 2325 | 5/52
40 h-m-p -0.0000 -0.0000 75.4545
h-m-p: -0.00000000e+00 -0.00000000e+00 7.54544929e+01 3572.158784
.. | 5/52
41 h-m-p 0.0000 0.0000 236652.5455 --CCYYYCYCCC 3565.916805 9 0.0000 2448 | 5/52
42 h-m-p 0.0000 0.0000 5272.5622 YYCYCCC 3558.767305 6 0.0000 2513 | 5/52
43 h-m-p 0.0000 0.0000 1074.2126 +CYCCC 3546.176291 4 0.0000 2576 | 5/52
44 h-m-p 0.0000 0.0000 1356.7430 +YYYYYCCCC 3542.686582 8 0.0000 2643 | 5/52
45 h-m-p 0.0000 0.0000 3519.3724 +YYYYC 3534.759463 4 0.0000 2703 | 5/52
46 h-m-p 0.0000 0.0000 1240.6795 +YYYCCC 3532.010456 5 0.0000 2766 | 5/52
47 h-m-p 0.0000 0.0000 2121.0511 +YYCCC 3520.019930 4 0.0000 2828 | 5/52
48 h-m-p 0.0000 0.0000 1873.9223 +YYYCCC 3517.141192 5 0.0000 2891 | 5/52
49 h-m-p 0.0000 0.0000 1378.6730 YCCC 3512.360349 3 0.0000 2951 | 5/52
50 h-m-p 0.0000 0.0001 677.1208 +YCCC 3509.694238 3 0.0000 3012 | 5/52
51 h-m-p 0.0000 0.0001 836.2537 CCC 3508.791461 2 0.0000 3071 | 5/52
52 h-m-p 0.0000 0.0001 500.1779 YCCC 3507.614032 3 0.0000 3131 | 5/52
53 h-m-p 0.0000 0.0001 332.0459 YCCC 3507.150178 3 0.0000 3191 | 5/52
54 h-m-p 0.0000 0.0000 487.9445 CYC 3506.827074 2 0.0000 3249 | 5/52
55 h-m-p 0.0000 0.0001 296.1416 CCC 3506.477504 2 0.0000 3308 | 5/52
56 h-m-p 0.0000 0.0001 216.6407 CCCC 3506.030284 3 0.0001 3369 | 5/52
57 h-m-p 0.0000 0.0001 525.4497 YCCC 3505.494959 3 0.0000 3429 | 5/52
58 h-m-p 0.0000 0.0000 844.7528 ++ 3504.436181 m 0.0000 3484 | 5/52
59 h-m-p 0.0000 0.0001 1185.6777 YC 3502.872612 1 0.0000 3540 | 5/52
60 h-m-p 0.0000 0.0001 854.6664 YCCCC 3501.638904 4 0.0000 3602 | 5/52
61 h-m-p 0.0000 0.0002 1880.8245 YCCC 3499.645656 3 0.0000 3662 | 5/52
62 h-m-p 0.0000 0.0001 1327.1875 YCCC 3497.374964 3 0.0001 3722 | 5/52
63 h-m-p 0.0000 0.0001 1529.6898 YCCC 3494.509955 3 0.0001 3782 | 5/52
64 h-m-p 0.0000 0.0001 2001.2971 +YCCC 3491.826362 3 0.0000 3843 | 5/52
65 h-m-p 0.0000 0.0000 1946.7248 +CCC 3489.274140 2 0.0000 3903 | 5/52
66 h-m-p 0.0000 0.0002 1671.9285 CCC 3487.410822 2 0.0000 3962 | 5/52
67 h-m-p 0.0001 0.0004 494.8300 YYC 3486.588912 2 0.0001 4019 | 5/52
68 h-m-p 0.0000 0.0001 793.2061 YCCCC 3485.527819 4 0.0000 4081 | 5/52
69 h-m-p 0.0000 0.0001 868.1730 +YCCC 3484.593250 3 0.0000 4142 | 5/52
70 h-m-p 0.0000 0.0002 471.1891 CYC 3484.251762 2 0.0000 4200 | 5/52
71 h-m-p 0.0001 0.0004 195.2611 YC 3484.100176 1 0.0000 4256 | 5/52
72 h-m-p 0.0001 0.0008 55.9078 YCC 3484.036248 2 0.0001 4314 | 5/52
73 h-m-p 0.0000 0.0001 107.5688 YC 3483.978184 1 0.0000 4370 | 5/52
74 h-m-p 0.0000 0.0002 58.8892 CC 3483.951550 1 0.0000 4427 | 5/52
75 h-m-p 0.0001 0.0012 35.7241 YC 3483.935479 1 0.0001 4483 | 5/52
76 h-m-p 0.0001 0.0031 23.6055 CC 3483.931748 1 0.0000 4540 | 5/52
77 h-m-p 0.0001 0.0048 5.1140 YC 3483.930708 1 0.0001 4596 | 5/52
78 h-m-p 0.0001 0.0073 2.7612 YC 3483.929648 1 0.0001 4652 | 5/52
79 h-m-p 0.0001 0.0071 3.5720 +YC 3483.921220 1 0.0002 4709 | 5/52
80 h-m-p 0.0000 0.0038 16.8824 +CC 3483.844034 1 0.0003 4767 | 5/52
81 h-m-p 0.0000 0.0006 107.9743 +YCC 3483.598681 2 0.0001 4826 | 5/52
82 h-m-p 0.0001 0.0015 216.7828 +YCCC 3481.533631 3 0.0004 4887 | 5/52
83 h-m-p 0.0000 0.0001 1804.5873 YCCC 3478.985552 3 0.0001 4947 | 5/52
84 h-m-p 0.0000 0.0002 1993.3002 CCC 3476.965580 2 0.0000 5006 | 5/52
85 h-m-p 0.0001 0.0003 256.4501 YC 3476.814070 1 0.0000 5062 | 5/52
86 h-m-p 0.0002 0.0009 24.3370 CY 3476.803804 1 0.0000 5119 | 5/52
87 h-m-p 0.0006 0.0270 1.9298 C 3476.803330 0 0.0001 5174 | 5/52
88 h-m-p 0.0002 0.0141 1.1373 C 3476.802104 0 0.0003 5229 | 5/52
89 h-m-p 0.0003 0.1710 4.6425 ++++YCCC 3474.112459 3 0.0663 5293 | 5/52
90 h-m-p 1.0122 5.0608 0.1160 CCCC 3473.398888 3 1.4157 5354 | 5/52
91 h-m-p 1.4776 7.3879 0.0488 YCC 3473.283067 2 0.9943 5459 | 5/52
92 h-m-p 1.6000 8.0000 0.0188 CCC 3473.224906 2 1.7721 5565 | 5/52
93 h-m-p 1.6000 8.0000 0.0085 YYC 3473.189798 2 1.4298 5669 | 5/52
94 h-m-p 1.3126 8.0000 0.0092 YC 3473.180787 1 0.7613 5772 | 5/52
95 h-m-p 0.6957 8.0000 0.0101 YC 3473.176553 1 1.4319 5875 | 5/52
96 h-m-p 1.6000 8.0000 0.0034 CC 3473.173877 1 2.2735 5979 | 5/52
97 h-m-p 1.6000 8.0000 0.0021 CC 3473.171769 1 2.4572 6083 | 5/52
98 h-m-p 1.6000 8.0000 0.0012 +YC 3473.168364 1 5.0375 6187 | 5/52
99 h-m-p 1.6000 8.0000 0.0004 ++ 3473.145070 m 8.0000 6289 | 5/52
100 h-m-p 1.4889 8.0000 0.0022 YCCC 3473.071812 3 3.2708 6396 | 5/52
101 h-m-p 0.8969 8.0000 0.0081 YC 3473.025651 1 1.5024 6499 | 5/52
102 h-m-p 1.2873 8.0000 0.0095 YC 3473.019125 1 0.9173 6602 | 5/52
103 h-m-p 1.6000 8.0000 0.0008 C 3473.017233 0 1.7470 6704 | 5/52
104 h-m-p 1.6000 8.0000 0.0003 C 3473.016756 0 1.2805 6806 | 5/52
105 h-m-p 1.6000 8.0000 0.0001 C 3473.016672 0 1.3192 6908 | 5/52
106 h-m-p 1.6000 8.0000 0.0001 C 3473.016666 0 1.3030 7010 | 5/52
107 h-m-p 1.6000 8.0000 0.0000 C 3473.016664 0 1.9792 7112 | 5/52
108 h-m-p 1.6000 8.0000 0.0000 C 3473.016663 0 1.9658 7214 | 5/52
109 h-m-p 1.6000 8.0000 0.0000 Y 3473.016663 0 0.7737 7316 | 5/52
110 h-m-p 1.6000 8.0000 0.0000 -C 3473.016663 0 0.1000 7419 | 5/52
111 h-m-p 0.1220 8.0000 0.0000 --C 3473.016663 0 0.0019 7523
Out..
lnL = -3473.016663
7524 lfun, 22572 eigenQcodon, 737352 P(t)
end of tree file.
Time used: 6:20
Model 2: PositiveSelection
TREE # 1
(12, 6, ((((11, ((13, 8), (((16, 25), (3, 24)), (4, 2), (19, 23), 28)), 20), 18), 26), (((((17, 29), (22, 5, 9), 27, 7), (21, 1), 15), 30, 14), 10))); MP score: 311
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
32
0.026374 0.080017 0.045365 0.036743 0.016410 0.056859 0.089877 0.019387 0.047757 0.073643 0.086835 0.095236 0.047253 0.070752 0.106755 0.059568 0.027127 0.049453 0.108093 0.071403 0.068585 0.087056 0.079961 0.077981 0.013896 0.068765 0.083190 0.073913 0.040408 0.090925 0.100659 0.037185 0.064940 0.065328 0.082851 0.059206 0.101972 0.029300 0.049554 0.061085 0.074094 0.041219 0.083653 0.063328 0.048132 0.016182 0.027952 0.051142 0.045391 2.554515 1.014924 0.404785 0.270093 1.402620
ntime & nrate & np: 49 3 54
Bounds (np=54):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 99.000000 99.000000 1.000000 999.000000
Qfactor_NS = 4.368403
np = 54
lnL0 = -4255.505815
Iterating by ming2
Initial: fx= 4255.505815
x= 0.02637 0.08002 0.04537 0.03674 0.01641 0.05686 0.08988 0.01939 0.04776 0.07364 0.08683 0.09524 0.04725 0.07075 0.10675 0.05957 0.02713 0.04945 0.10809 0.07140 0.06858 0.08706 0.07996 0.07798 0.01390 0.06877 0.08319 0.07391 0.04041 0.09092 0.10066 0.03719 0.06494 0.06533 0.08285 0.05921 0.10197 0.02930 0.04955 0.06108 0.07409 0.04122 0.08365 0.06333 0.04813 0.01618 0.02795 0.05114 0.04539 2.55451 1.01492 0.40479 0.27009 1.40262
1 h-m-p 0.0000 0.0001 4080.1600 ++ 3811.060505 m 0.0001 59 | 0/54
2 h-m-p 0.0000 0.0000 2153.3452 ++ 3794.395235 m 0.0000 116 | 1/54
3 h-m-p 0.0000 0.0000 2594.2860 ++ 3673.835525 m 0.0000 173 | 2/54
4 h-m-p 0.0000 0.0000 3225.2692 ++ 3672.187516 m 0.0000 230 | 3/54
5 h-m-p 0.0000 0.0000 6206.5648 ++ 3659.765226 m 0.0000 287 | 3/54
6 h-m-p 0.0000 0.0000 6624.7129 ++ 3628.270741 m 0.0000 344 | 4/54
7 h-m-p 0.0000 0.0000 7134.6594 +CYCYCCC 3604.718575 6 0.0000 412 | 4/54
8 h-m-p 0.0000 0.0000 75750.1358 ++ 3597.658453 m 0.0000 469 | 5/54
9 h-m-p 0.0000 0.0000 6175.6592 +CYYC 3588.881665 3 0.0000 531 | 5/54
10 h-m-p 0.0000 0.0000 4138.8819 +YYYCCC 3578.043390 5 0.0000 596 | 5/54
11 h-m-p 0.0000 0.0000 1192.6984 +YYYYC 3575.504562 4 0.0000 658 | 5/54
12 h-m-p 0.0000 0.0000 1849.4289 +YYYCCC 3573.605838 5 0.0000 723 | 5/54
13 h-m-p 0.0000 0.0000 736.2590 +YCYCCC 3570.505240 5 0.0000 789 | 5/54
14 h-m-p 0.0000 0.0000 552.6245 +YCYCC 3569.413357 4 0.0000 853 | 5/54
15 h-m-p 0.0000 0.0000 1722.4697 YCCC 3568.492483 3 0.0000 915 | 5/54
16 h-m-p 0.0000 0.0001 653.7307 +YCCC 3566.523446 3 0.0000 978 | 5/54
17 h-m-p 0.0000 0.0001 402.6306 CCC 3565.836851 2 0.0000 1039 | 5/54
18 h-m-p 0.0000 0.0001 280.6075 CCCC 3565.178843 3 0.0000 1102 | 5/54
19 h-m-p 0.0000 0.0001 723.9284 +YCCC 3563.389060 3 0.0000 1165 | 5/54
20 h-m-p 0.0000 0.0001 958.1318 YCCCC 3562.022730 4 0.0000 1229 | 5/54
21 h-m-p 0.0000 0.0002 1406.5884 ++ 3551.383302 m 0.0002 1286 | 5/54
22 h-m-p 0.0000 0.0000 9336.9709
h-m-p: 1.54709641e-21 7.73548204e-21 9.33697087e+03 3551.383302
.. | 5/54
23 h-m-p 0.0000 0.0001 6532.2678 YYCYYCCC 3536.111665 7 0.0000 1408 | 5/54
24 h-m-p 0.0000 0.0001 820.3049 +YYYYYY 3521.352845 5 0.0000 1471 | 5/54
25 h-m-p 0.0000 0.0000 743.6506 +YYYYCYCCC 3517.328933 8 0.0000 1540 | 5/54
26 h-m-p 0.0000 0.0000 1735.3960 +YYCCC 3513.609697 4 0.0000 1604 | 5/54
27 h-m-p 0.0000 0.0000 752.3303 +YYCYC 3512.002137 4 0.0000 1667 | 5/54
28 h-m-p 0.0000 0.0000 1562.1040 +YCCC 3508.446795 3 0.0000 1730 | 5/54
29 h-m-p 0.0000 0.0000 683.5205 ++ 3506.720335 m 0.0000 1787 | 5/54
30 h-m-p 0.0000 0.0001 340.1571 YCCC 3505.819914 3 0.0000 1849 | 5/54
31 h-m-p 0.0000 0.0001 319.5142 YCCC 3505.472435 3 0.0000 1911 | 5/54
32 h-m-p 0.0000 0.0001 243.9138 CCCC 3505.145973 3 0.0000 1974 | 5/54
33 h-m-p 0.0001 0.0003 99.6210 CCC 3504.960762 2 0.0001 2035 | 5/54
34 h-m-p 0.0000 0.0003 226.8657 +YCC 3504.556988 2 0.0001 2096 | 5/54
35 h-m-p 0.0000 0.0002 473.6382 YCCC 3503.703231 3 0.0001 2158 | 5/54
36 h-m-p 0.0000 0.0002 1253.1051 YCCC 3501.707337 3 0.0001 2220 | 5/54
37 h-m-p 0.0000 0.0001 1736.1406 YCCC 3499.516546 3 0.0001 2282 | 5/54
38 h-m-p 0.0000 0.0001 2782.9029 +CCC 3495.787521 2 0.0001 2344 | 5/54
39 h-m-p 0.0000 0.0000 2296.1757 +CCC 3494.043263 2 0.0000 2406 | 5/54
40 h-m-p 0.0000 0.0002 989.8550 CCCC 3492.797780 3 0.0001 2469 | 5/54
41 h-m-p 0.0000 0.0001 1180.6848 YCCC 3491.638064 3 0.0000 2531 | 5/54
42 h-m-p 0.0000 0.0001 1523.2441 +CYC 3489.464126 2 0.0001 2592 | 5/54
43 h-m-p 0.0000 0.0000 1323.8444 ++ 3488.562835 m 0.0000 2649 | 6/54
44 h-m-p 0.0000 0.0000 1031.4294 ++ 3488.191393 m 0.0000 2706 | 6/54
45 h-m-p -0.0000 -0.0000 1209.7788
h-m-p: -3.03030676e-23 -1.51515338e-22 1.20977876e+03 3488.191393
.. | 6/54
46 h-m-p 0.0000 0.0001 316.7494 YCCC 3486.968638 3 0.0000 2822 | 6/54
47 h-m-p 0.0000 0.0002 358.0052 CYC 3486.134805 2 0.0000 2882 | 6/54
48 h-m-p 0.0000 0.0001 330.5458 YCCCC 3485.215656 4 0.0000 2946 | 6/54
49 h-m-p 0.0000 0.0002 279.2706 CCC 3484.831637 2 0.0000 3007 | 6/54
50 h-m-p 0.0000 0.0001 282.3315 YCCC 3484.215272 3 0.0000 3069 | 6/54
51 h-m-p 0.0000 0.0001 312.6687 CCC 3483.839631 2 0.0000 3130 | 6/54
52 h-m-p 0.0000 0.0001 490.5374 YCCC 3483.071423 3 0.0000 3192 | 6/54
53 h-m-p 0.0000 0.0001 327.3249 CCCC 3482.655757 3 0.0000 3255 | 6/54
54 h-m-p 0.0000 0.0002 246.5990 CC 3482.375438 1 0.0000 3314 | 6/54
55 h-m-p 0.0000 0.0001 384.4162 CCC 3482.073906 2 0.0000 3375 | 6/54
56 h-m-p 0.0000 0.0001 285.3139 CCCC 3481.822384 3 0.0000 3438 | 6/54
57 h-m-p 0.0000 0.0001 208.7740 YCCC 3481.612909 3 0.0000 3500 | 6/54
58 h-m-p 0.0000 0.0000 419.9857 YC 3481.436808 1 0.0000 3558 | 6/54
59 h-m-p 0.0000 0.0003 277.2541 +YCC 3480.994635 2 0.0001 3619 | 6/54
60 h-m-p 0.0000 0.0002 900.5565 YCC 3480.303207 2 0.0000 3679 | 6/54
61 h-m-p 0.0000 0.0001 1527.2864 CCCC 3479.655626 3 0.0000 3742 | 6/54
62 h-m-p 0.0000 0.0001 461.1610 CCCC 3479.498659 3 0.0000 3805 | 6/54
63 h-m-p 0.0000 0.0003 318.7315 CCC 3479.385383 2 0.0000 3866 | 6/54
64 h-m-p 0.0000 0.0004 166.7083 CCC 3479.261072 2 0.0000 3927 | 6/54
65 h-m-p 0.0001 0.0014 69.3109 YC 3479.205383 1 0.0001 3985 | 6/54
66 h-m-p 0.0000 0.0002 130.1169 YYC 3479.169322 2 0.0000 4044 | 6/54
67 h-m-p 0.0000 0.0005 154.5555 YC 3479.102693 1 0.0000 4102 | 6/54
68 h-m-p 0.0000 0.0003 209.1612 YC 3478.974669 1 0.0001 4160 | 6/54
69 h-m-p 0.0001 0.0003 173.3126 CC 3478.833931 1 0.0001 4219 | 6/54
70 h-m-p 0.0000 0.0005 387.6385 +YYC 3478.334161 2 0.0001 4279 | 6/54
71 h-m-p 0.0000 0.0003 1327.3020 CCC 3477.658372 2 0.0001 4340 | 6/54
72 h-m-p 0.0000 0.0004 1725.0664 +YCCC 3475.840443 3 0.0001 4403 | 6/54
73 h-m-p 0.0000 0.0002 2444.5101 CCCC 3474.451320 3 0.0001 4466 | 6/54
74 h-m-p 0.0000 0.0001 1925.9963 CCCC 3473.950505 3 0.0000 4529 | 6/54
75 h-m-p 0.0001 0.0003 521.3607 YCC 3473.760960 2 0.0000 4589 | 6/54
76 h-m-p 0.0001 0.0006 286.3448 YCC 3473.640084 2 0.0000 4649 | 6/54
77 h-m-p 0.0002 0.0008 88.7133 YC 3473.620307 1 0.0000 4707 | 6/54
78 h-m-p 0.0001 0.0008 23.8328 YC 3473.617638 1 0.0000 4765 | 6/54
79 h-m-p 0.0001 0.0088 6.5949 YC 3473.616854 1 0.0000 4823 | 6/54
80 h-m-p 0.0001 0.0063 3.9887 YC 3473.616550 1 0.0000 4881 | 6/54
81 h-m-p 0.0001 0.0244 2.3275 YC 3473.616150 1 0.0001 4939 | 6/54
82 h-m-p 0.0000 0.0089 16.0172 +YC 3473.613139 1 0.0002 4998 | 6/54
83 h-m-p 0.0000 0.0041 106.5808 +CC 3473.596976 1 0.0001 5058 | 6/54
84 h-m-p 0.0001 0.0033 270.5563 +C 3473.531253 0 0.0002 5116 | 6/54
85 h-m-p 0.0000 0.0014 1232.4927 YC 3473.373508 1 0.0001 5174 | 6/54
86 h-m-p 0.0001 0.0006 610.2087 C 3473.352744 0 0.0000 5231 | 6/54
87 h-m-p 0.0001 0.0006 166.3838 YC 3473.348800 1 0.0000 5289 | 6/54
88 h-m-p 0.0002 0.0048 13.5427 YC 3473.348170 1 0.0000 5347 | 6/54
89 h-m-p 0.0001 0.0129 4.3415 C 3473.348003 0 0.0000 5404 | 6/54
90 h-m-p 0.0003 0.0305 0.5994 C 3473.347751 0 0.0002 5461 | 6/54
91 h-m-p 0.0002 0.0956 3.7810 +++CCC 3473.207712 2 0.0156 5573 | 6/54
92 h-m-p 0.0000 0.0003 1415.0347 CCC 3473.094678 2 0.0000 5634 | 6/54
93 h-m-p 0.0001 0.0012 351.1914 YC 3473.043657 1 0.0001 5692 | 6/54
94 h-m-p 0.4213 8.0000 0.0541 YC 3473.018576 1 0.9179 5750 | 6/54
95 h-m-p 1.6000 8.0000 0.0168 YC 3473.016788 1 0.8725 5856 | 6/54
96 h-m-p 1.6000 8.0000 0.0030 Y 3473.016670 0 0.7548 5961 | 6/54
97 h-m-p 1.6000 8.0000 0.0004 Y 3473.016664 0 0.7850 6066 | 6/54
98 h-m-p 1.6000 8.0000 0.0001 Y 3473.016663 0 0.9563 6171 | 6/54
99 h-m-p 1.6000 8.0000 0.0000 ---C 3473.016663 0 0.0063 6279
Out..
lnL = -3473.016663
6280 lfun, 25120 eigenQcodon, 923160 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) = -3485.414817 S = -3289.576567 -222.730648
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 230 patterns 14:17
did 20 / 230 patterns 14:17
did 30 / 230 patterns 14:17
did 40 / 230 patterns 14:17
did 50 / 230 patterns 14:17
did 60 / 230 patterns 14:17
did 70 / 230 patterns 14:17
did 80 / 230 patterns 14:17
did 90 / 230 patterns 14:17
did 100 / 230 patterns 14:17
did 110 / 230 patterns 14:17
did 120 / 230 patterns 14:17
did 130 / 230 patterns 14:17
did 140 / 230 patterns 14:17
did 150 / 230 patterns 14:17
did 160 / 230 patterns 14:17
did 170 / 230 patterns 14:17
did 180 / 230 patterns 14:18
did 190 / 230 patterns 14:18
did 200 / 230 patterns 14:18
did 210 / 230 patterns 14:18
did 220 / 230 patterns 14:18
did 230 / 230 patterns 14:18end of tree file.
Time used: 14:18
Model 7: beta
TREE # 1
(12, 6, ((((11, ((13, 8), (((16, 25), (3, 24)), (4, 2), (19, 23), 28)), 20), 18), 26), (((((17, 29), (22, 5, 9), 27, 7), (21, 1), 15), 30, 14), 10))); MP score: 311
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
32
0.106655 0.082564 0.021338 0.010054 0.037579 0.035586 0.092562 0.016161 0.039658 0.024058 0.051882 0.087240 0.029432 0.064255 0.036834 0.105593 0.049509 0.039366 0.061676 0.088533 0.016430 0.023752 0.033178 0.073731 0.046181 0.097738 0.099519 0.066183 0.087020 0.038866 0.049472 0.070233 0.064323 0.050548 0.054075 0.105099 0.017121 0.064068 0.017967 0.077322 0.081034 0.024847 0.082580 0.058595 0.047268 0.048939 0.098375 0.092399 0.102384 2.554516 0.206667 1.483056
ntime & nrate & np: 49 1 52
Bounds (np=52):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 99.000000 99.000000
Qfactor_NS = 12.476961
np = 52
lnL0 = -4087.892080
Iterating by ming2
Initial: fx= 4087.892080
x= 0.10666 0.08256 0.02134 0.01005 0.03758 0.03559 0.09256 0.01616 0.03966 0.02406 0.05188 0.08724 0.02943 0.06425 0.03683 0.10559 0.04951 0.03937 0.06168 0.08853 0.01643 0.02375 0.03318 0.07373 0.04618 0.09774 0.09952 0.06618 0.08702 0.03887 0.04947 0.07023 0.06432 0.05055 0.05407 0.10510 0.01712 0.06407 0.01797 0.07732 0.08103 0.02485 0.08258 0.05860 0.04727 0.04894 0.09838 0.09240 0.10238 2.55452 0.20667 1.48306
1 h-m-p 0.0000 0.0001 2070.9724 ++ 3889.503871 m 0.0001 57 | 1/52
2 h-m-p 0.0000 0.0000 4000.6230 ++ 3877.266896 m 0.0000 112 | 2/52
3 h-m-p 0.0000 0.0000 51036.9961 ++ 3837.657542 m 0.0000 167 | 3/52
4 h-m-p 0.0000 0.0000 79731.7368 ++ 3740.394691 m 0.0000 222 | 4/52
5 h-m-p 0.0000 0.0000 28726.0171 ++ 3644.446182 m 0.0000 277 | 4/52
6 h-m-p 0.0000 0.0000 43336.0117 ++ 3621.091782 m 0.0000 332 | 4/52
7 h-m-p 0.0000 0.0000 29617.2593 ++ 3618.407847 m 0.0000 387 | 5/52
8 h-m-p 0.0000 0.0000 5533.8330 +YCYCCC 3595.317611 5 0.0000 452 | 5/52
9 h-m-p 0.0000 0.0000 31650.9664 +CYCCCCC 3577.896478 6 0.0000 519 | 5/52
10 h-m-p 0.0000 0.0000 12543.8696 ++ 3570.476548 m 0.0000 574 | 5/52
11 h-m-p 0.0000 0.0000 302963.3083 +YCYYYCCCCC 3560.854497 9 0.0000 644 | 5/52
12 h-m-p 0.0000 0.0000 7027.7579 +YCYYC 3549.410393 4 0.0000 705 | 5/52
13 h-m-p 0.0000 0.0000 14448.2635 +YYYCCC 3539.210195 5 0.0000 768 | 5/52
14 h-m-p 0.0000 0.0000 5400.9188 +YYCCC 3532.688373 4 0.0000 830 | 5/52
15 h-m-p 0.0000 0.0000 2702.2934 +YYYYC 3529.792417 4 0.0000 890 | 5/52
16 h-m-p 0.0000 0.0000 2587.4116 +YCYCCC 3526.203785 5 0.0000 954 | 5/52
17 h-m-p 0.0000 0.0000 1034.3947 +YCCC 3524.177118 3 0.0000 1015 | 5/52
18 h-m-p 0.0000 0.0000 883.0984 CCCC 3522.638308 3 0.0000 1076 | 5/52
19 h-m-p 0.0000 0.0001 328.8833 CCC 3521.792754 2 0.0000 1135 | 5/52
20 h-m-p 0.0000 0.0001 365.8224 CCCC 3520.999754 3 0.0000 1196 | 5/52
21 h-m-p 0.0000 0.0001 370.8272 YYC 3520.480114 2 0.0000 1253 | 5/52
22 h-m-p 0.0000 0.0001 214.6969 CCCC 3519.960385 3 0.0000 1314 | 5/52
23 h-m-p 0.0000 0.0002 375.5384 CC 3519.391864 1 0.0000 1371 | 5/52
24 h-m-p 0.0000 0.0001 225.7946 CCCC 3518.900684 3 0.0000 1432 | 5/52
25 h-m-p 0.0000 0.0001 524.5742 +YCCCC 3516.652902 4 0.0001 1495 | 5/52
26 h-m-p 0.0000 0.0001 792.2008 YCCCC 3514.761372 4 0.0000 1557 | 5/52
27 h-m-p 0.0000 0.0001 875.8866 CYC 3513.928505 2 0.0000 1615 | 5/52
28 h-m-p 0.0000 0.0002 544.2177 YCCC 3512.376925 3 0.0000 1675 | 5/52
29 h-m-p 0.0000 0.0001 572.7482 YCY 3511.717880 2 0.0000 1733 | 5/52
30 h-m-p 0.0000 0.0001 306.7443 YYC 3511.451763 2 0.0000 1790 | 5/52
31 h-m-p 0.0000 0.0002 169.0794 CYC 3511.273003 2 0.0000 1848 | 5/52
32 h-m-p 0.0000 0.0002 209.6242 CC 3511.087890 1 0.0000 1905 | 5/52
33 h-m-p 0.0000 0.0001 103.5517 CCC 3511.013727 2 0.0000 1964 | 5/52
34 h-m-p 0.0000 0.0006 72.0058 CC 3510.957110 1 0.0000 2021 | 5/52
35 h-m-p 0.0000 0.0002 128.8226 CCC 3510.890540 2 0.0000 2080 | 5/52
36 h-m-p 0.0000 0.0003 122.1336 YC 3510.779978 1 0.0000 2136 | 5/52
37 h-m-p 0.0000 0.0005 151.3218 CYC 3510.669063 2 0.0000 2194 | 5/52
38 h-m-p 0.0001 0.0006 65.4416 YCC 3510.592072 2 0.0000 2252 | 5/52
39 h-m-p 0.0000 0.0006 74.5071 CCC 3510.484833 2 0.0001 2311 | 5/52
40 h-m-p 0.0000 0.0009 114.7221 YC 3510.226417 1 0.0001 2367 | 5/52
41 h-m-p 0.0001 0.0004 121.3820 YC 3510.080997 1 0.0001 2423 | 5/52
42 h-m-p 0.0000 0.0006 136.7184 YCC 3509.990544 2 0.0000 2481 | 5/52
43 h-m-p 0.0002 0.0012 19.0424 YC 3509.983806 1 0.0000 2537 | 5/52
44 h-m-p 0.0000 0.0031 11.1566 +YC 3509.953949 1 0.0002 2594 | 5/52
45 h-m-p 0.0000 0.0007 37.9007 YC 3509.872324 1 0.0001 2650 | 5/52
46 h-m-p 0.0000 0.0030 102.6789 +++CYYYYYY 3500.554850 6 0.0025 2715 | 5/52
47 h-m-p 0.0000 0.0000 4432.6976 +YCCC 3499.417212 3 0.0000 2776 | 5/52
48 h-m-p 0.0001 0.0006 47.5286 YC 3499.405919 1 0.0000 2832 | 5/52
49 h-m-p 0.0006 0.3139 3.5762 ++++YCCCC 3492.952880 4 0.1108 2898 | 5/52
50 h-m-p 0.0222 0.1112 4.6339 +YYYYCYCCC 3487.426508 8 0.0930 2965 | 5/52
51 h-m-p 0.1417 1.0608 3.0435 YCYCCC 3486.548515 5 0.0706 3028 | 5/52
52 h-m-p 0.1472 0.7362 1.1610 YCCCC 3482.484742 4 0.3636 3090 | 5/52
53 h-m-p 0.1044 0.5221 2.3335 YCCC 3479.864708 3 0.2480 3150 | 5/52
54 h-m-p 0.2862 1.4310 0.7151 CYCC 3478.295975 3 0.3029 3210 | 5/52
55 h-m-p 1.6000 8.0000 0.0143 CCC 3477.227282 2 1.4709 3316 | 5/52
56 h-m-p 0.3949 4.7057 0.0534 +YCCCC 3476.452085 4 1.9450 3426 | 5/52
57 h-m-p 1.2854 6.4269 0.0211 CCCC 3476.136807 3 1.9898 3534 | 5/52
58 h-m-p 1.6000 8.0000 0.0161 CCC 3475.947109 2 1.5013 3640 | 5/52
59 h-m-p 1.0951 8.0000 0.0221 YCCC 3475.753461 3 2.2251 3747 | 5/52
60 h-m-p 1.5793 8.0000 0.0311 +YC 3475.449153 1 4.2442 3851 | 5/52
61 h-m-p 1.6000 8.0000 0.0171 YC 3475.120224 1 2.5914 3954 | 5/52
62 h-m-p 1.6000 8.0000 0.0238 YC 3474.812763 1 3.4699 4057 | 5/52
63 h-m-p 1.6000 8.0000 0.0507 CCC 3474.636458 2 2.4114 4163 | 5/52
64 h-m-p 1.6000 8.0000 0.0226 CYC 3474.546876 2 1.7721 4268 | 5/52
65 h-m-p 1.6000 8.0000 0.0185 CC 3474.472167 1 2.3183 4372 | 5/52
66 h-m-p 1.6000 8.0000 0.0084 YC 3474.405709 1 3.0029 4475 | 5/52
67 h-m-p 1.6000 8.0000 0.0041 YC 3474.321242 1 3.1829 4578 | 5/52
68 h-m-p 0.5176 8.0000 0.0251 +CC 3474.253724 1 2.9209 4683 | 5/52
69 h-m-p 1.6000 8.0000 0.0120 +YC 3474.133406 1 4.7007 4787 | 5/52
70 h-m-p 1.6000 8.0000 0.0219 CC 3474.083662 1 2.1763 4891 | 5/52
71 h-m-p 1.6000 8.0000 0.0085 CC 3474.066496 1 2.1719 4995 | 5/52
72 h-m-p 1.6000 8.0000 0.0036 CC 3474.059992 1 2.2725 5099 | 5/52
73 h-m-p 1.6000 8.0000 0.0041 CC 3474.056249 1 2.0676 5203 | 5/52
74 h-m-p 1.6000 8.0000 0.0008 CC 3474.054226 1 2.5223 5307 | 5/52
75 h-m-p 1.6000 8.0000 0.0012 YC 3474.052937 1 3.0245 5410 | 5/52
76 h-m-p 1.6000 8.0000 0.0012 YC 3474.052013 1 2.6777 5513 | 5/52
77 h-m-p 1.6000 8.0000 0.0006 +YC 3474.050788 1 4.7071 5617 | 5/52
78 h-m-p 1.6000 8.0000 0.0019 YC 3474.049290 1 3.4272 5720 | 5/52
79 h-m-p 1.6000 8.0000 0.0025 YC 3474.048110 1 3.1307 5823 | 5/52
80 h-m-p 1.6000 8.0000 0.0011 +C 3474.045272 0 6.6165 5926 | 5/52
81 h-m-p 1.6000 8.0000 0.0022 +CC 3474.039355 1 5.8295 6031 | 5/52
82 h-m-p 1.6000 8.0000 0.0031 +CC 3474.024077 1 5.5303 6136 | 5/52
83 h-m-p 1.6000 8.0000 0.0042 YC 3474.010680 1 2.9753 6239 | 5/52
84 h-m-p 1.6000 8.0000 0.0036 CC 3474.003465 1 2.4286 6343 | 5/52
85 h-m-p 1.6000 8.0000 0.0048 YC 3473.998475 1 2.6704 6446 | 5/52
86 h-m-p 1.6000 8.0000 0.0015 CC 3473.996893 1 2.0476 6550 | 5/52
87 h-m-p 1.6000 8.0000 0.0005 C 3473.996540 0 1.9025 6652 | 5/52
88 h-m-p 1.6000 8.0000 0.0002 C 3473.996477 0 1.6667 6754 | 5/52
89 h-m-p 1.6000 8.0000 0.0001 C 3473.996464 0 1.7015 6856 | 5/52
90 h-m-p 1.6000 8.0000 0.0001 Y 3473.996457 0 2.6278 6958 | 5/52
91 h-m-p 1.6000 8.0000 0.0001 C 3473.996454 0 2.3848 7060 | 5/52
92 h-m-p 1.6000 8.0000 0.0000 C 3473.996454 0 1.9703 7162 | 5/52
93 h-m-p 1.6000 8.0000 0.0000 C 3473.996454 0 1.6000 7264 | 5/52
94 h-m-p 1.6000 8.0000 0.0000 Y 3473.996454 0 0.9705 7366 | 5/52
95 h-m-p 0.5731 8.0000 0.0000 ----------------.. | 5/52
96 h-m-p 0.0008 0.3819 0.0306 ----------- | 5/52
97 h-m-p 0.0008 0.3819 0.0306 -----------
Out..
lnL = -3473.996454
7705 lfun, 84755 eigenQcodon, 3775450 P(t)
end of tree file.
Time used: 46:46
Model 8: beta&w>1
TREE # 1
(12, 6, ((((11, ((13, 8), (((16, 25), (3, 24)), (4, 2), (19, 23), 28)), 20), 18), 26), (((((17, 29), (22, 5, 9), 27, 7), (21, 1), 15), 30, 14), 10))); MP score: 311
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
32
0.027878 0.028512 0.097352 0.059703 0.054411 0.018695 0.042077 0.036766 0.085290 0.037070 0.020401 0.080839 0.013970 0.028553 0.071989 0.040681 0.041304 0.057723 0.083077 0.069890 0.047220 0.031593 0.040711 0.063690 0.055262 0.035961 0.044704 0.102264 0.013450 0.090015 0.038250 0.092808 0.089871 0.098888 0.093115 0.077511 0.056467 0.058858 0.060370 0.049639 0.109440 0.044862 0.072581 0.094906 0.049711 0.085027 0.058397 0.050335 0.021879 2.503688 0.900000 1.119008 1.954920 1.300000
ntime & nrate & np: 49 2 54
Bounds (np=54):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 0.999990 99.000000 99.000000 999.000000
Qfactor_NS = 6.039911
np = 54
lnL0 = -4217.613038
Iterating by ming2
Initial: fx= 4217.613038
x= 0.02788 0.02851 0.09735 0.05970 0.05441 0.01869 0.04208 0.03677 0.08529 0.03707 0.02040 0.08084 0.01397 0.02855 0.07199 0.04068 0.04130 0.05772 0.08308 0.06989 0.04722 0.03159 0.04071 0.06369 0.05526 0.03596 0.04470 0.10226 0.01345 0.09001 0.03825 0.09281 0.08987 0.09889 0.09311 0.07751 0.05647 0.05886 0.06037 0.04964 0.10944 0.04486 0.07258 0.09491 0.04971 0.08503 0.05840 0.05034 0.02188 2.50369 0.90000 1.11901 1.95492 1.30000
1 h-m-p 0.0000 0.0001 4042.8234 ++ 3862.581442 m 0.0001 113 | 0/54
2 h-m-p 0.0000 0.0000 10429.8166 ++ 3787.100279 m 0.0000 224 | 1/54
3 h-m-p 0.0000 0.0000 1520.4788 ++ 3704.663995 m 0.0000 335 | 2/54
4 h-m-p 0.0000 0.0000 5773.1213 ++ 3659.116526 m 0.0000 445 | 3/54
5 h-m-p 0.0000 0.0000 13792.6922 ++ 3655.381972 m 0.0000 554 | 4/54
6 h-m-p 0.0000 0.0000 9080.0415 ++ 3650.713987 m 0.0000 662 | 5/54
7 h-m-p 0.0000 0.0000 9443.8162 ++ 3591.671156 m 0.0000 769 | 5/54
8 h-m-p 0.0000 0.0000 9125.8960 +YYYCCCC 3585.048407 6 0.0000 885 | 5/54
9 h-m-p 0.0000 0.0000 1365.0888 +YYYYYCCCC 3581.317142 8 0.0000 1003 | 5/54
10 h-m-p 0.0000 0.0000 2626.2868 +YYYCCC 3576.565701 5 0.0000 1117 | 5/54
11 h-m-p 0.0000 0.0000 1446.7160 +YYCCC 3572.289443 4 0.0000 1230 | 5/54
12 h-m-p 0.0000 0.0001 485.8753 YCCCC 3570.454288 4 0.0000 1343 | 5/54
13 h-m-p 0.0000 0.0000 550.4546 +CC 3568.048966 1 0.0000 1452 | 5/54
14 h-m-p 0.0000 0.0000 443.5092 ++ 3566.809813 m 0.0000 1558 | 5/54
15 h-m-p 0.0000 0.0000 763.5126
h-m-p: 4.15962058e-22 2.07981029e-21 7.63512575e+02 3566.809813
.. | 5/54
16 h-m-p 0.0000 0.0000 14910.7175 -YCYYYYC 3564.039241 6 0.0000 1775 | 5/54
17 h-m-p 0.0000 0.0000 857.3905 +YYCCC 3557.415055 4 0.0000 1888 | 5/54
18 h-m-p 0.0000 0.0000 725.5755 +YYYCYCCC 3550.548648 7 0.0000 2005 | 5/54
19 h-m-p 0.0000 0.0000 5136.8095 +YYCCC 3549.507710 4 0.0000 2118 | 5/54
20 h-m-p 0.0000 0.0000 4543.8959 +YYYYYCCCC 3542.667273 8 0.0000 2236 | 5/54
21 h-m-p 0.0000 0.0000 1321.6184 +YYYCCC 3538.823761 5 0.0000 2350 | 5/54
22 h-m-p 0.0000 0.0000 5966.4359 +YYCYYYC 3531.806089 6 0.0000 2464 | 5/54
23 h-m-p 0.0000 0.0000 452.9506 YCYCCC 3531.501778 5 0.0000 2578 | 5/54
24 h-m-p 0.0000 0.0001 210.5226 +CYYCC 3529.867850 4 0.0001 2692 | 5/54
25 h-m-p 0.0000 0.0000 2707.7547 +YCCCC 3526.793230 4 0.0000 2806 | 5/54
26 h-m-p 0.0000 0.0000 4261.8401 YCCC 3525.943434 3 0.0000 2917 | 5/54
27 h-m-p 0.0000 0.0000 875.1053 ++ 3524.106250 m 0.0000 3023 | 5/54
28 h-m-p 0.0000 0.0000 456.6425
h-m-p: 0.00000000e+00 0.00000000e+00 4.56642481e+02 3524.106250
.. | 5/54
29 h-m-p 0.0000 0.0000 1317.7075 YYYCC 3521.188282 4 0.0000 3237 | 5/54
30 h-m-p 0.0000 0.0000 421.7913 +YYYYCC 3518.694610 5 0.0000 3350 | 5/54
31 h-m-p 0.0000 0.0000 1720.1611 +YCCC 3516.389711 3 0.0000 3462 | 5/54
32 h-m-p 0.0000 0.0000 714.4253 +YC 3515.384400 1 0.0000 3570 | 5/54
33 h-m-p 0.0000 0.0001 326.6069 CCCC 3514.798939 3 0.0000 3682 | 5/54
34 h-m-p 0.0000 0.0001 265.8813 CCCC 3514.293023 3 0.0000 3794 | 5/54
35 h-m-p 0.0000 0.0002 256.8714 CCC 3514.026056 2 0.0000 3904 | 5/54
36 h-m-p 0.0000 0.0002 272.4732 +YCC 3513.333172 2 0.0001 4014 | 5/54
37 h-m-p 0.0000 0.0001 700.6080 YCCC 3512.267941 3 0.0000 4125 | 5/54
38 h-m-p 0.0000 0.0001 1780.8584 YC 3510.343480 1 0.0000 4232 | 5/54
39 h-m-p 0.0000 0.0001 1249.7828 YCCCC 3508.595789 4 0.0000 4345 | 5/54
40 h-m-p 0.0000 0.0000 2711.7895 +YCCC 3506.399716 3 0.0000 4457 | 5/54
41 h-m-p 0.0000 0.0001 2787.4630 YCYC 3502.744486 3 0.0000 4567 | 5/54
42 h-m-p 0.0000 0.0000 2998.9668 +YYYCCC 3500.576863 5 0.0000 4681 | 5/54
43 h-m-p 0.0000 0.0001 6363.3182 +YCCCC 3493.932949 4 0.0000 4795 | 5/54
44 h-m-p 0.0000 0.0001 2529.7616 YCCC 3492.388539 3 0.0000 4906 | 5/54
45 h-m-p 0.0000 0.0000 1625.9507 +YCCC 3491.043014 3 0.0000 5018 | 5/54
46 h-m-p 0.0000 0.0001 1293.1681 +YCCC 3488.909974 3 0.0000 5130 | 5/54
47 h-m-p 0.0000 0.0000 1240.0399 YCYC 3488.256844 3 0.0000 5240 | 5/54
48 h-m-p 0.0000 0.0002 1077.1855 CCC 3487.383671 2 0.0000 5350 | 5/54
49 h-m-p 0.0000 0.0003 582.9419 CCC 3486.420876 2 0.0001 5460 | 5/54
50 h-m-p 0.0000 0.0002 373.5785 CCC 3486.077905 2 0.0000 5570 | 5/54
51 h-m-p 0.0000 0.0002 218.1005 CCC 3485.885497 2 0.0000 5680 | 5/54
52 h-m-p 0.0000 0.0003 159.3177 YCC 3485.790029 2 0.0000 5789 | 5/54
53 h-m-p 0.0001 0.0005 92.5504 YC 3485.738186 1 0.0000 5896 | 5/54
54 h-m-p 0.0001 0.0008 43.6413 YC 3485.718169 1 0.0000 6003 | 5/54
55 h-m-p 0.0000 0.0022 42.6799 CC 3485.695192 1 0.0001 6111 | 5/54
56 h-m-p 0.0000 0.0010 86.7903 +YC 3485.635308 1 0.0001 6219 | 5/54
57 h-m-p 0.0001 0.0009 91.2508 YC 3485.601983 1 0.0000 6326 | 5/54
58 h-m-p 0.0000 0.0009 107.0911 YC 3485.539827 1 0.0001 6433 | 5/54
59 h-m-p 0.0000 0.0007 272.0920 +YCC 3485.335387 2 0.0001 6543 | 5/54
60 h-m-p 0.0000 0.0008 682.0809 +YCC 3484.682891 2 0.0001 6653 | 5/54
61 h-m-p 0.0000 0.0002 2304.3568 YCCC 3483.151800 3 0.0001 6764 | 5/54
62 h-m-p 0.0000 0.0002 5276.8224 CCC 3481.856811 2 0.0000 6874 | 5/54
63 h-m-p 0.0001 0.0003 1715.6557 CCC 3480.752348 2 0.0001 6984 | 5/54
64 h-m-p 0.0000 0.0001 3262.2077 YCYCC 3479.060981 4 0.0001 7096 | 5/54
65 h-m-p 0.0000 0.0001 5873.4917 CCCC 3477.739550 3 0.0000 7208 | 5/54
66 h-m-p 0.0000 0.0002 3243.9531 CYC 3476.981156 2 0.0000 7317 | 5/54
67 h-m-p 0.0001 0.0003 1516.4438 YCCC 3475.825374 3 0.0001 7428 | 5/54
68 h-m-p 0.0001 0.0005 471.3150 YCCC 3475.645777 3 0.0001 7539 | 5/54
69 h-m-p 0.0001 0.0007 90.0933 CC 3475.627530 1 0.0000 7647 | 5/54
70 h-m-p 0.0002 0.0036 13.0606 YC 3475.625444 1 0.0000 7754 | 5/54
71 h-m-p 0.0001 0.0062 6.0053 C 3475.624066 0 0.0001 7860 | 5/54
72 h-m-p 0.0000 0.0180 15.2625 +++YCC 3475.556729 2 0.0019 7972 | 5/54
73 h-m-p 0.0000 0.0007 962.7275 +CYC 3475.319677 2 0.0001 8082 | 5/54
74 h-m-p 0.0000 0.0014 2110.0069 +CCCCC 3474.131373 4 0.0002 8197 | 5/54
75 h-m-p 0.0002 0.0008 189.9834 YC 3474.121770 1 0.0000 8304 | 5/54
76 h-m-p 0.0002 0.0010 21.3601 YC 3474.116793 1 0.0001 8411 | 5/54
77 h-m-p 0.0070 3.5159 0.3612 +++CCCC 3472.589052 3 0.6464 8526 | 5/54
78 h-m-p 0.5939 3.3010 0.3931 YYC 3472.357858 2 0.5218 8634 | 5/54
79 h-m-p 0.2313 1.1566 0.5336 CCC 3472.191492 2 0.3261 8744 | 5/54
80 h-m-p 0.9303 4.6517 0.0534 CCC 3472.085790 2 1.0142 8854 | 5/54
81 h-m-p 1.4137 8.0000 0.0383 CC 3472.043082 1 1.3186 8962 | 5/54
82 h-m-p 0.8332 8.0000 0.0607 YC 3472.028966 1 1.3652 9069 | 5/54
83 h-m-p 1.6000 8.0000 0.0388 CC 3472.024567 1 1.4014 9177 | 5/54
84 h-m-p 1.6000 8.0000 0.0335 +CC 3472.012766 1 5.6010 9286 | 5/54
85 h-m-p 1.0623 8.0000 0.1766 ++ 3471.894344 m 8.0000 9392 | 5/54
86 h-m-p 1.6000 8.0000 0.3058 YCCC 3471.839253 3 0.8076 9503 | 5/54
87 h-m-p 0.3233 2.9660 0.7639 YCCCC 3471.773326 4 0.6567 9616 | 5/54
88 h-m-p 1.6000 8.0000 0.1051 YYC 3471.741308 2 1.2811 9724 | 5/54
89 h-m-p 0.7505 3.7526 0.1662 YC 3471.718222 1 0.5727 9831 | 5/54
90 h-m-p 0.5010 2.5052 0.1528 CCC 3471.709194 2 0.7602 9941 | 5/54
91 h-m-p 0.5760 2.8801 0.0821 C 3471.706179 0 0.6576 10047 | 5/54
92 h-m-p 0.7043 3.5213 0.0410 CC 3471.704139 1 1.0825 10155 | 5/54
93 h-m-p 1.6000 8.0000 0.0145 C 3471.703269 0 1.4251 10261 | 5/54
94 h-m-p 1.6000 8.0000 0.0046 Y 3471.703112 0 1.1513 10367 | 5/54
95 h-m-p 1.6000 8.0000 0.0006 Y 3471.703098 0 1.1787 10473 | 5/54
96 h-m-p 1.6000 8.0000 0.0002 Y 3471.703097 0 1.1389 10579 | 5/54
97 h-m-p 1.6000 8.0000 0.0001 Y 3471.703097 0 0.9765 10685 | 5/54
98 h-m-p 1.6000 8.0000 0.0000 C 3471.703097 0 1.5406 10791 | 5/54
99 h-m-p 1.6000 8.0000 0.0000 -Y 3471.703097 0 0.1000 10898 | 5/54
100 h-m-p 0.1104 8.0000 0.0000 --------------Y 3471.703097 0 0.0000 11018
Out..
lnL = -3471.703097
11019 lfun, 132228 eigenQcodon, 5939241 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) = -3480.509586 S = -3290.301321 -212.074433
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 230 patterns 1:37:49
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did 40 / 230 patterns 1:37:50
did 50 / 230 patterns 1:37:50
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did 130 / 230 patterns 1:37:52
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did 150 / 230 patterns 1:37:52
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did 170 / 230 patterns 1:37:53
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did 230 / 230 patterns 1:37:54end of tree file.
Time used: 1:37:54
The loglikelihoods for models M1, M2, M7 and M8 are -3473.016663 -3473.016663 -3473.996454 -3471.703097 respectively
CLUSTAL W (1.8) multiple sequence alignment (ALTER 1.3.3)
HCoV_OC43_UK_London_2011_HE_AMK59676_1_2011_08_20_United_Kingdom_Human_Betacoronavirus_1 MFLLPRFILVSCIIGSLGFHNPPTNVVSHVNGDWFLFGDSRSDCNHIVNINPHNYSYMDL
IWT_8_HE_BBM61016_1_2012_01_Japan_Unknown_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDL
IWT_27_HE_BBM61186_1_2017_02_Japan_Unknown_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDL
IWT_7_HE_BBM61006_1_2012_01_Japan_Unknown_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDL
5442_2007_HE_AIV41914_1_2007_06_China_Human_Betacoronavirus_1 MFLLPRFILVSCIIGSLGFYNPPTNVVSHVNGDWFLFGDSRSDCNHIGNINPHNYSYMDL
4408_HE_ACJ35485_1_1988_Germany_Human_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFENPPTNVVSHLNGDWFLFGDSRSDCNHVVNTNPRNYSYMDL
MDS6_HE_QBP84703_1_NA_NA_Unknown_Betacoronavirus_1 MFLLPRFILVSCIIGSLGFYNPPTNVVSHVNGDWFLFGDSRSDCNHIGNINPHNYSYMDL
IWT_14_HE_BBM61056_1_2015_11_Japan_Unknown_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDL
5472_2007_HE_AIV41865_1_2007_06_China_Human_Betacoronavirus_1 MFLLPRFILVSCIIGSLGFYNPPTNVVSHVNGDWFLFGDSRSDCNHIGNINPHNYSYMDL
OC43_human_USA_901_33_1990_HE_AGT51470_1_1990_01_16_USA_Human_Betacoronavirus_1 MFLLPRFILVSCIIGSLGFHNPPTNVVSHVNGDWFLFGDSRSDCNHIVNINPHNYSYMDL
4_17_08_HE_AVZ61118_1_2017_04_USA_Cattle_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDL
PHEV_CoV_swine_USA_15TOSU1785_2015_NA_ARC95226_1_2015_08_15_USA_Swine_Betacoronavirus_1 MVLLPRFCLVCSIIGTFGFENPPTNVVSHFNEDWFLFGDSRTDCNHVVKTNPRNYSYMDL
E_AH187_TC_NA_ACT10994_1_2000_01_01_USA_Cattle_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDL
OC43_human_USA_912_10_1991_HE_AGT51480_1_1991_02_07_USA_Human_Betacoronavirus_1 MFLLPRFILVSCIIGSLGFYNPPTNVVSHVNGDWFLFGDSRSDCNHIVNINPHNYSYMDL
OC43_human_USA_9612_48_1996_HE_AGT51440_1_1996_12_30_USA_Human_Betacoronavirus_1 MFLFPRFILVSCIIGSLGFYNPPTNVVSHVNGDWFLFGDSRSDCNHIGNINPHNYSYMDL
TCG_18_HE_BBM61406_1_2016_Japan_Unknown_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDL
MY_U236_12_HE_AQN78671_1_2012_04_02_Malaysia_Human_Betacoronavirus_1 MFLLPRFILVSCVIGSLGFYNPPTNVVSHVNGDWFLFGDSRSDCNHIVNINPHNYSYMDL
UNKNOWN_FJ425189_NA_ACJ66999_1_1994_01_01_USA_Deer_Betacoronavirus_1 MFLLPRFVLVSCIIGILGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDL
SHG_5_HE_BBM61236_1_2016_06_Japan_Unknown_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDL
R_AH65_TC_NA_ABP38271_1_NA_USA_Cattle_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDL
3074A_2012_HE_AIV41835_1_2012_02_China_Human_Betacoronavirus_1 MFLLPRFILVSCIIGSLGFHNPPTNVVSHVNGDWFLFGDSRSDCNHIGNINPHNYSYMDL
5485_2007_HE_AIV41938_1_2007_06_China_Human_Betacoronavirus_1 MFLLPRFILVSCIIGSLGFYNPPTNVVSHVNGDWFLFGDSRSDCNHIGNINPHNYSYMDL
TCG_22_HE_BBM61466_1_2016_12_Japan_Unknown_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDL
TCG_28_HE_BBM61526_1_2017_12_Japan_Unknown_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDL
TCG_19_HE_BBM61436_1_2016_12_Japan_Unknown_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDL
BCOV_China_SWUN_A1_2018_NA_QOV05159_1_2018_11_01_China_Cattle_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFHNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDL
3269A_2012_HE_AIV41841_1_2012_06_China_Human_Betacoronavirus_1 MFLLPRFILVSCIIGSLGFYNPPTNVVSHVNGDWFLFGDSRSDCNHIGNINPHNYSYMDL
IWT_5_HE_BBM60986_1_2011_11_Japan_Unknown_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDL
HCoV_OC43_Seattle_USA_SC0682_2019_NA_QEG03739_1_2019_USA_Human_Betacoronavirus_1 MFLLSRFILVSCVIGSLGFYNPPTNVVSHVNGDWFLFGDSRSDCNHIVNINPHNYSYMDL
OC43_human_USA_913_29_1991_HE_AGT51599_1_1991_03_14_USA_Human_Betacoronavirus_1 MFLLPRFILVSCIIGSLGFYNPPTNVVSHVNGDWFLFGDSRSDCNHIVNINPHNYSYMDL
*.*:.** **..:** :** *********.* *********:****: . **:*******
HCoV_OC43_UK_London_2011_HE_AMK59676_1_2011_08_20_United_Kingdom_Human_Betacoronavirus_1 NPALCDSGKISSKADNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCNRSGSND
IWT_8_HE_BBM61016_1_2012_01_Japan_Unknown_Betacoronavirus_1 NPALCGSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSND
IWT_27_HE_BBM61186_1_2017_02_Japan_Unknown_Betacoronavirus_1 NPALCGSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSND
IWT_7_HE_BBM61006_1_2012_01_Japan_Unknown_Betacoronavirus_1 NPALCGSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSND
5442_2007_HE_AIV41914_1_2007_06_China_Human_Betacoronavirus_1 NPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCNRSGSND
4408_HE_ACJ35485_1_1988_Germany_Human_Betacoronavirus_1 NPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSND
MDS6_HE_QBP84703_1_NA_NA_Unknown_Betacoronavirus_1 NPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCNRSGSND
IWT_14_HE_BBM61056_1_2015_11_Japan_Unknown_Betacoronavirus_1 NPALCGSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSND
5472_2007_HE_AIV41865_1_2007_06_China_Human_Betacoronavirus_1 NPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCNRSGSND
OC43_human_USA_901_33_1990_HE_AGT51470_1_1990_01_16_USA_Human_Betacoronavirus_1 NPVLCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCNRAGSND
4_17_08_HE_AVZ61118_1_2017_04_USA_Cattle_Betacoronavirus_1 NPALCGSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSND
PHEV_CoV_swine_USA_15TOSU1785_2015_NA_ARC95226_1_2015_08_15_USA_Swine_Betacoronavirus_1 NPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTSVGNND
E_AH187_TC_NA_ACT10994_1_2000_01_01_USA_Cattle_Betacoronavirus_1 NPALCGSGKISAKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSND
OC43_human_USA_912_10_1991_HE_AGT51480_1_1991_02_07_USA_Human_Betacoronavirus_1 NPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCNRSGSND
OC43_human_USA_9612_48_1996_HE_AGT51440_1_1996_12_30_USA_Human_Betacoronavirus_1 NPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCNRSGSND
TCG_18_HE_BBM61406_1_2016_Japan_Unknown_Betacoronavirus_1 NPALCGSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSND
MY_U236_12_HE_AQN78671_1_2012_04_02_Malaysia_Human_Betacoronavirus_1 NPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCNRSGSND
UNKNOWN_FJ425189_NA_ACJ66999_1_1994_01_01_USA_Deer_Betacoronavirus_1 NPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSND
SHG_5_HE_BBM61236_1_2016_06_Japan_Unknown_Betacoronavirus_1 NPALCGSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSND
R_AH65_TC_NA_ABP38271_1_NA_USA_Cattle_Betacoronavirus_1 NPALCGSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVSFTPYHAFKCTTSGSND
3074A_2012_HE_AIV41835_1_2012_02_China_Human_Betacoronavirus_1 NPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCNRSGSND
5485_2007_HE_AIV41938_1_2007_06_China_Human_Betacoronavirus_1 NPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCNRSGSND
TCG_22_HE_BBM61466_1_2016_12_Japan_Unknown_Betacoronavirus_1 NPALCGSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSND
TCG_28_HE_BBM61526_1_2017_12_Japan_Unknown_Betacoronavirus_1 NPALCGSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSND
TCG_19_HE_BBM61436_1_2016_12_Japan_Unknown_Betacoronavirus_1 NPALCGSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSND
BCOV_China_SWUN_A1_2018_NA_QOV05159_1_2018_11_01_China_Cattle_Betacoronavirus_1 NPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSND
3269A_2012_HE_AIV41841_1_2012_06_China_Human_Betacoronavirus_1 NPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCNRSGSND
IWT_5_HE_BBM60986_1_2011_11_Japan_Unknown_Betacoronavirus_1 NPALCGSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSND
HCoV_OC43_Seattle_USA_SC0682_2019_NA_QEG03739_1_2019_USA_Human_Betacoronavirus_1 NPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCNRSGSND
OC43_human_USA_913_29_1991_HE_AGT51599_1_1991_03_14_USA_Human_Betacoronavirus_1 NPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCNRSGSND
**.**.*****:**.****************************.*********. *.**
HCoV_OC43_UK_London_2011_HE_AMK59676_1_2011_08_20_United_Kingdom_Human_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQATAFCKSGS----LVLNNPVYIA
IWT_8_HE_BBM61016_1_2012_01_Japan_Unknown_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQPTALCKFGS----LVLNNPAYIA
IWT_27_HE_BBM61186_1_2017_02_Japan_Unknown_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQSTALCKSGS----LVLNNPAYIA
IWT_7_HE_BBM61006_1_2012_01_Japan_Unknown_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQPTALCKFGS----LVLNNPAYIA
5442_2007_HE_AIV41914_1_2007_06_China_Human_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVSYVYNGSAQATSFCKSGS----LVLNNPAYIA
4408_HE_ACJ35485_1_1988_Germany_Human_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQSTALCKSGS----LVLNNPAYIA
MDS6_HE_QBP84703_1_NA_NA_Unknown_Betacoronavirus_1 IWMQNKGLFYTQVYKTMAVYRSLTFVNVSYVYNGSAQVTSFCKSGS----LVLNNPAYIA
IWT_14_HE_BBM61056_1_2015_11_Japan_Unknown_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNDSAQSKALCKSGS----LVLNNPAYIA
5472_2007_HE_AIV41865_1_2007_06_China_Human_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVSYVYNGSAQATSFCKSGS----LVLNNPAYIA
OC43_human_USA_901_33_1990_HE_AGT51470_1_1990_01_16_USA_Human_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSVQARAFCKPGT----LVLNNPAYIA
4_17_08_HE_AVZ61118_1_2017_04_USA_Cattle_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQSTALCKSGS----LVLNNPAYIA
PHEV_CoV_swine_USA_15TOSU1785_2015_NA_ARC95226_1_2015_08_15_USA_Swine_Betacoronavirus_1 IWMQNKGLFYTQVYKKMAVYRSLTLVNVPYVYNGSAQPTAFCKSGS----LILNNPAYIA
E_AH187_TC_NA_ACT10994_1_2000_01_01_USA_Cattle_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQSTALCKSGS----LVLNNPAYIA
OC43_human_USA_912_10_1991_HE_AGT51480_1_1991_02_07_USA_Human_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQATALCKSGS----LVLNNPAYIA
OC43_human_USA_9612_48_1996_HE_AGT51440_1_1996_12_30_USA_Human_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQATAFCKSGS----LVLNNPAYIA
TCG_18_HE_BBM61406_1_2016_Japan_Unknown_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQSTALCKSGS----LVLNNPAYIA
MY_U236_12_HE_AQN78671_1_2012_04_02_Malaysia_Human_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVSYVYNGSAQATSFCKSGS----LVLNNPAYIA
UNKNOWN_FJ425189_NA_ACJ66999_1_1994_01_01_USA_Deer_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQSTALCKSGS----LVLNNPAYIA
SHG_5_HE_BBM61236_1_2016_06_Japan_Unknown_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQSTALCKSGS----LVLNNPAYIA
R_AH65_TC_NA_ABP38271_1_NA_USA_Cattle_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQSTALCKSGS----LVLNNPAYIA
3074A_2012_HE_AIV41835_1_2012_02_China_Human_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQAIAFCKSGS----LVLNNPAYIA
5485_2007_HE_AIV41938_1_2007_06_China_Human_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVSYVYNGSAQATSFCKSGS----LVLNNPAYIA
TCG_22_HE_BBM61466_1_2016_12_Japan_Unknown_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQSTALCKSGS----LVLNNPAYIA
TCG_28_HE_BBM61526_1_2017_12_Japan_Unknown_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQSTALCKSGS----LVLNNPAYIA
TCG_19_HE_BBM61436_1_2016_12_Japan_Unknown_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQSTALCKSGS----LVLNNPAYIA
BCOV_China_SWUN_A1_2018_NA_QOV05159_1_2018_11_01_China_Cattle_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQATALCKSGS----LVLNNPAYIA
3269A_2012_HE_AIV41841_1_2012_06_China_Human_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVSYVYNGSAQATSFCKSGS----LVLNNPAYIA
IWT_5_HE_BBM60986_1_2011_11_Japan_Unknown_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQSTALCKSGS----LVLNNPAYIA
HCoV_OC43_Seattle_USA_SC0682_2019_NA_QEG03739_1_2019_USA_Human_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVSYVYNGSAQATSFCKSGSKLKNLVLNNPAYIA
OC43_human_USA_913_29_1991_HE_AGT51599_1_1991_03_14_USA_Human_Betacoronavirus_1 IWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQATALCKSGS----LVLNNPAYIA
***************.********:***.****.*.* ::** *: *:****.***
HCoV_OC43_UK_London_2011_HE_AMK59676_1_2011_08_20_United_Kingdom_Human_Betacoronavirus_1 PQANSG-IITKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDHSQYYFNKDTGVIYGLN
IWT_8_HE_BBM61016_1_2012_01_Japan_Unknown_Betacoronavirus_1 REAYFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLN
IWT_27_HE_BBM61186_1_2017_02_Japan_Unknown_Betacoronavirus_1 REANFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLN
IWT_7_HE_BBM61006_1_2012_01_Japan_Unknown_Betacoronavirus_1 REAYFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLN
5442_2007_HE_AIV41914_1_2007_06_China_Human_Betacoronavirus_1 PQAKSG-IITKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDHSQYYFNKDTGVIYGLN
4408_HE_ACJ35485_1_1988_Germany_Human_Betacoronavirus_1 REANFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLN
MDS6_HE_QBP84703_1_NA_NA_Unknown_Betacoronavirus_1 PQAKSG-IITKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDHSQYYFNKDTGVIYGLN
IWT_14_HE_BBM61056_1_2015_11_Japan_Unknown_Betacoronavirus_1 REANFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLN
5472_2007_HE_AIV41865_1_2007_06_China_Human_Betacoronavirus_1 PQAKSG-IITKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDHSQYYFNKDTGVIYGLN
OC43_human_USA_901_33_1990_HE_AGT51470_1_1990_01_16_USA_Human_Betacoronavirus_1 PQANSGDYYHKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDYSQYYFNKDTGVIYGLN
4_17_08_HE_AVZ61118_1_2017_04_USA_Cattle_Betacoronavirus_1 REANFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLN
PHEV_CoV_swine_USA_15TOSU1785_2015_NA_ARC95226_1_2015_08_15_USA_Swine_Betacoronavirus_1 REANVGDYYYKSEADFSLSGCDEYIVPLCVFNGKFLSNTKYYDDSQYYFNKDTGVIYGLN
E_AH187_TC_NA_ACT10994_1_2000_01_01_USA_Cattle_Betacoronavirus_1 REANFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLN
OC43_human_USA_912_10_1991_HE_AGT51480_1_1991_02_07_USA_Human_Betacoronavirus_1 PQANSGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYLNKDTGVIYGLN
OC43_human_USA_9612_48_1996_HE_AGT51440_1_1996_12_30_USA_Human_Betacoronavirus_1 PQANSG-IITKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDHSQYYFNKDTGVIYGLN
TCG_18_HE_BBM61406_1_2016_Japan_Unknown_Betacoronavirus_1 REANFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGFN
MY_U236_12_HE_AQN78671_1_2012_04_02_Malaysia_Human_Betacoronavirus_1 PQAKSG-IITKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDHSQYYFNKDTGVIYGLN
UNKNOWN_FJ425189_NA_ACJ66999_1_1994_01_01_USA_Deer_Betacoronavirus_1 REANFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLN
SHG_5_HE_BBM61236_1_2016_06_Japan_Unknown_Betacoronavirus_1 REANLGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLN
R_AH65_TC_NA_ABP38271_1_NA_USA_Cattle_Betacoronavirus_1 REANFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLN
3074A_2012_HE_AIV41835_1_2012_02_China_Human_Betacoronavirus_1 PQANSG-IITKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDHSQYYFNKDTGVIYGLN
5485_2007_HE_AIV41938_1_2007_06_China_Human_Betacoronavirus_1 PQAKSG-IITKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDHSQYYFNKDTGVIYGLN
TCG_22_HE_BBM61466_1_2016_12_Japan_Unknown_Betacoronavirus_1 REANLRDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLN
TCG_28_HE_BBM61526_1_2017_12_Japan_Unknown_Betacoronavirus_1 REANFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLN
TCG_19_HE_BBM61436_1_2016_12_Japan_Unknown_Betacoronavirus_1 REANFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGFN
BCOV_China_SWUN_A1_2018_NA_QOV05159_1_2018_11_01_China_Cattle_Betacoronavirus_1 REANVGDYYYKAEADFYLSGCDEYIIPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLN
3269A_2012_HE_AIV41841_1_2012_06_China_Human_Betacoronavirus_1 PQAKSG-IITKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDHSQYYFNKDTGVIYGLN
IWT_5_HE_BBM60986_1_2011_11_Japan_Unknown_Betacoronavirus_1 REANFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLN
HCoV_OC43_Seattle_USA_SC0682_2019_NA_QEG03739_1_2019_USA_Human_Betacoronavirus_1 PQAKSG-IITKVEADFYLSGCDEYIVPLCIFNGKSLSNTKYYDHSQYYFNKDTGVIYGLN
OC43_human_USA_913_29_1991_HE_AGT51599_1_1991_03_14_USA_Human_Betacoronavirus_1 PQANFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLN
:* * **** ********:***:**** ******** ****:*********:*
HCoV_OC43_UK_London_2011_HE_AMK59676_1_2011_08_20_United_Kingdom_Human_Betacoronavirus_1 STETITTGFDLNCHYLVLPSGNYLSISNELLLTVPTKAICFNKRKDFTPVQVVDSRWNNA
IWT_8_HE_BBM61016_1_2012_01_Japan_Unknown_Betacoronavirus_1 STETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNA
IWT_27_HE_BBM61186_1_2017_02_Japan_Unknown_Betacoronavirus_1 STETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNA
IWT_7_HE_BBM61006_1_2012_01_Japan_Unknown_Betacoronavirus_1 STETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNA
5442_2007_HE_AIV41914_1_2007_06_China_Human_Betacoronavirus_1 STETITTGFDLNCHYLVLPSGNYLAISNELLLTVPTKAICFNKRKDFTPVQVVDSRWNNA
4408_HE_ACJ35485_1_1988_Germany_Human_Betacoronavirus_1 STETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNA
MDS6_HE_QBP84703_1_NA_NA_Unknown_Betacoronavirus_1 STETITTGFDLNCHYLVLPSGNYLAISNELLLTVPTKAICFNKRKDFTPVQVVDSRWNNA
IWT_14_HE_BBM61056_1_2015_11_Japan_Unknown_Betacoronavirus_1 STETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNA
5472_2007_HE_AIV41865_1_2007_06_China_Human_Betacoronavirus_1 STETITTGFDLNCHYLVLPSGNYLAISNELLLTVPTKAICFNKRKDFTPVQVVDSRWNNA
OC43_human_USA_901_33_1990_HE_AGT51470_1_1990_01_16_USA_Human_Betacoronavirus_1 STETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNA
4_17_08_HE_AVZ61118_1_2017_04_USA_Cattle_Betacoronavirus_1 STETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNA
PHEV_CoV_swine_USA_15TOSU1785_2015_NA_ARC95226_1_2015_08_15_USA_Swine_Betacoronavirus_1 STETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKVFTPVQVVDSRWNNA
E_AH187_TC_NA_ACT10994_1_2000_01_01_USA_Cattle_Betacoronavirus_1 STETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNA
OC43_human_USA_912_10_1991_HE_AGT51480_1_1991_02_07_USA_Human_Betacoronavirus_1 STETITTGFDLNCHYLVLPSGNYLAISNELLLTVPTKAICFNKRKDFTPVQVVDSRWNNA
OC43_human_USA_9612_48_1996_HE_AGT51440_1_1996_12_30_USA_Human_Betacoronavirus_1 STETITTGFDLNCHYLVLPSGNYLAISNELLLTVPTKAICFNKRKDFTPVQVVDSRWNNA
TCG_18_HE_BBM61406_1_2016_Japan_Unknown_Betacoronavirus_1 STETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNA
MY_U236_12_HE_AQN78671_1_2012_04_02_Malaysia_Human_Betacoronavirus_1 STETITTGFDLNCHYLVLPSGNYLAISNELLLTVPTKAICFNKRKDFTPVQVVDSRWNNA
UNKNOWN_FJ425189_NA_ACJ66999_1_1994_01_01_USA_Deer_Betacoronavirus_1 STETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNA
SHG_5_HE_BBM61236_1_2016_06_Japan_Unknown_Betacoronavirus_1 STETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLSKRKDFTPVQVVDSRWNTA
R_AH65_TC_NA_ABP38271_1_NA_USA_Cattle_Betacoronavirus_1 STETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNA
3074A_2012_HE_AIV41835_1_2012_02_China_Human_Betacoronavirus_1 STETITTGFDLNCHYLVLPSGNYLSISNELLLTVPTKAICFNKRKDFTPVQVVDSRWNNA
5485_2007_HE_AIV41938_1_2007_06_China_Human_Betacoronavirus_1 STETITTGFDLNCHYLVLPSGNYLAISNELLLTVPTKAICFNKRKDFTPVQVVDSRWNNA
TCG_22_HE_BBM61466_1_2016_12_Japan_Unknown_Betacoronavirus_1 STETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNA
TCG_28_HE_BBM61526_1_2017_12_Japan_Unknown_Betacoronavirus_1 STETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNA
TCG_19_HE_BBM61436_1_2016_12_Japan_Unknown_Betacoronavirus_1 STETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNA
BCOV_China_SWUN_A1_2018_NA_QOV05159_1_2018_11_01_China_Cattle_Betacoronavirus_1 STETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNA
3269A_2012_HE_AIV41841_1_2012_06_China_Human_Betacoronavirus_1 STETITTGFDLNCHYLVLPSGNYLAISNELLLTVPTKAICFNKRKYFTPVQVVDSRWNNA
IWT_5_HE_BBM60986_1_2011_11_Japan_Unknown_Betacoronavirus_1 STETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNA
HCoV_OC43_Seattle_USA_SC0682_2019_NA_QEG03739_1_2019_USA_Human_Betacoronavirus_1 STETITTGFDLNCHYLVLPSGNYLAISNELLLTVPTKAICFNKRKDFTPVQVVDSRWNNA
OC43_human_USA_913_29_1991_HE_AGT51599_1_1991_03_14_USA_Human_Betacoronavirus_1 STETITTGFDLNCHYLVLPSGNYLAISNELLLTVPTKAICFNKRKDFTPVQVVDSRWNNA
**********:*************:***************:.*** ************.*
HCoV_OC43_UK_London_2011_HE_AMK59676_1_2011_08_20_United_Kingdom_Human_Betacoronavirus_1 RQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYNSSCFSQQGVFRY
IWT_8_HE_BBM61016_1_2012_01_Japan_Unknown_Betacoronavirus_1 RLSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRY
IWT_27_HE_BBM61186_1_2017_02_Japan_Unknown_Betacoronavirus_1 RLSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRY
IWT_7_HE_BBM61006_1_2012_01_Japan_Unknown_Betacoronavirus_1 RLSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRY
5442_2007_HE_AIV41914_1_2007_06_China_Human_Betacoronavirus_1 RQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYNSSCFSQQGVFRY
4408_HE_ACJ35485_1_1988_Germany_Human_Betacoronavirus_1 RQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRY
MDS6_HE_QBP84703_1_NA_NA_Unknown_Betacoronavirus_1 RQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYNSSCFSQQGVFRY
IWT_14_HE_BBM61056_1_2015_11_Japan_Unknown_Betacoronavirus_1 KQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRY
5472_2007_HE_AIV41865_1_2007_06_China_Human_Betacoronavirus_1 RQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYNSSCFSQQGVFRY
OC43_human_USA_901_33_1990_HE_AGT51470_1_1990_01_16_USA_Human_Betacoronavirus_1 RQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYNAPCFSQQGVFRY
4_17_08_HE_AVZ61118_1_2017_04_USA_Cattle_Betacoronavirus_1 RQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRY
PHEV_CoV_swine_USA_15TOSU1785_2015_NA_ARC95226_1_2015_08_15_USA_Swine_Betacoronavirus_1 RQSDNMTAVACQLPYCYFRNSTSNYVGIYDVNHGDAGFTSILSGLLYDSPCFSQQGVFRY
E_AH187_TC_NA_ACT10994_1_2000_01_01_USA_Cattle_Betacoronavirus_1 RQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRY
OC43_human_USA_912_10_1991_HE_AGT51480_1_1991_02_07_USA_Human_Betacoronavirus_1 RQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYNSPCFSQQGVFRY
OC43_human_USA_9612_48_1996_HE_AGT51440_1_1996_12_30_USA_Human_Betacoronavirus_1 RQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYNSSCFSQQGVFRY
TCG_18_HE_BBM61406_1_2016_Japan_Unknown_Betacoronavirus_1 GLSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRY
MY_U236_12_HE_AQN78671_1_2012_04_02_Malaysia_Human_Betacoronavirus_1 RHSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYNSSCFSQQGVFRY
UNKNOWN_FJ425189_NA_ACJ66999_1_1994_01_01_USA_Deer_Betacoronavirus_1 RQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRY
SHG_5_HE_BBM61236_1_2016_06_Japan_Unknown_Betacoronavirus_1 RLSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRY
R_AH65_TC_NA_ABP38271_1_NA_USA_Cattle_Betacoronavirus_1 RQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRY
3074A_2012_HE_AIV41835_1_2012_02_China_Human_Betacoronavirus_1 RQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYNSSCFSQQGVFRY
5485_2007_HE_AIV41938_1_2007_06_China_Human_Betacoronavirus_1 RQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYNSSCFSQQGVFRY
TCG_22_HE_BBM61466_1_2016_12_Japan_Unknown_Betacoronavirus_1 RLSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRY
TCG_28_HE_BBM61526_1_2017_12_Japan_Unknown_Betacoronavirus_1 RLSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRY
TCG_19_HE_BBM61436_1_2016_12_Japan_Unknown_Betacoronavirus_1 RLSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRY
BCOV_China_SWUN_A1_2018_NA_QOV05159_1_2018_11_01_China_Cattle_Betacoronavirus_1 RQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRY
3269A_2012_HE_AIV41841_1_2012_06_China_Human_Betacoronavirus_1 RQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYNSSCFSQQGVFRY
IWT_5_HE_BBM60986_1_2011_11_Japan_Unknown_Betacoronavirus_1 RLSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRY
HCoV_OC43_Seattle_USA_SC0682_2019_NA_QEG03739_1_2019_USA_Human_Betacoronavirus_1 RQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYNSSCFSQQGVFRY
OC43_human_USA_913_29_1991_HE_AGT51599_1_1991_03_14_USA_Human_Betacoronavirus_1 RQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYNSPCFSQQGVFRY
********** *********:****:**:****************::.**********
HCoV_OC43_UK_London_2011_HE_AMK59676_1_2011_08_20_United_Kingdom_Human_Betacoronavirus_1 DNISSVWPLYPYGRCPTAADINIPDLPICVYDPLPVILLGILLGVAIVIIVVLFLHFMVD
IWT_8_HE_BBM61016_1_2012_01_Japan_Unknown_Betacoronavirus_1 DNVSSVWPLYPYGRCPTAANINTPDVPICVYDPLPIILLGILLGVAVIIIVVLLLYFMVD
IWT_27_HE_BBM61186_1_2017_02_Japan_Unknown_Betacoronavirus_1 DNVSSVWPLYPYGRCPTAANINTPDVPICVYDPLPIILLGILLVVAVIIIVVLLLYFMVD
IWT_7_HE_BBM61006_1_2012_01_Japan_Unknown_Betacoronavirus_1 DNVSSVWPLYPYGRCPTAANINTPDVPICVYDPLPIILLGILLGVAVIIIVVLLLYFMVD
5442_2007_HE_AIV41914_1_2007_06_China_Human_Betacoronavirus_1 DNISSVWPLYPYGRCPTAAYINIPDLPICVYDPLPVILLGILLGVAIVIIVVLLLHFMVD
4408_HE_ACJ35485_1_1988_Germany_Human_Betacoronavirus_1 NNVSSVWPLYPYGRCPTAADINTPDVPICVYDPLPLILLGILLGVAVIIIVVLLLYFMVD
MDS6_HE_QBP84703_1_NA_NA_Unknown_Betacoronavirus_1 DNISSVWPLYPYGRCPTAAYINIPDLPICVYDPLPVILLGILLGVAIVIIVVLLLHFMVD
IWT_14_HE_BBM61056_1_2015_11_Japan_Unknown_Betacoronavirus_1 DNVSSVWPLYPYGRCPTAADINTPDVPICVYDPLPIILLGIFLGVAVIIIVVLLLYFMVD
5472_2007_HE_AIV41865_1_2007_06_China_Human_Betacoronavirus_1 DNISSVWPLYPYGRCPTAAYINIPDLPICVYDPLPVILLGILLGVAIVIIVVLLLHFMVD
OC43_human_USA_901_33_1990_HE_AGT51470_1_1990_01_16_USA_Human_Betacoronavirus_1 DNVSSVWPLYPYGRCPTAADINIPDLPICVHDPLPVILLGILLGVAIVIIVVLLLYFMVD
4_17_08_HE_AVZ61118_1_2017_04_USA_Cattle_Betacoronavirus_1 DNVSSVWPLYPYGRCPTAADINTPDVPICVYDPLPIILLGILLGVAVIIIVVLLLYFMVD
PHEV_CoV_swine_USA_15TOSU1785_2015_NA_ARC95226_1_2015_08_15_USA_Swine_Betacoronavirus_1 DNVSTVWPLFPFGNCPTAASIISSDSPICVYDPLPIILLGILLGVAVIVIVVLLLYFMVD
E_AH187_TC_NA_ACT10994_1_2000_01_01_USA_Cattle_Betacoronavirus_1 DNVSSVWPLYSYGRCPTAADINTPDVPICVYDPLPIILLGILLGVAVIIIVVLLLYFMVD
OC43_human_USA_912_10_1991_HE_AGT51480_1_1991_02_07_USA_Human_Betacoronavirus_1 DNVSSVWPLYPYGRCPTAADINIPDLPICVYDPLPVILLGILLGVAIVIIVVLLLHFMVD
OC43_human_USA_9612_48_1996_HE_AGT51440_1_1996_12_30_USA_Human_Betacoronavirus_1 DNISSVWPLYPYGRCPTAADINIPDLPICVYDPLPVILLGILLGVAIVIIVVLLLHFMVD
TCG_18_HE_BBM61406_1_2016_Japan_Unknown_Betacoronavirus_1 DNVSSVWPLYPYGRCPTAANINTPDVPICVYDPLPIILLGILLGVAVIIIVVLLLYFMVD
MY_U236_12_HE_AQN78671_1_2012_04_02_Malaysia_Human_Betacoronavirus_1 DNISSVWPLYPYGRCPTAAYINIPDLPICVYDPLPVILLGILLGVAIVIIVVLLLHFMVD
UNKNOWN_FJ425189_NA_ACJ66999_1_1994_01_01_USA_Deer_Betacoronavirus_1 DNVSSVWPLYPYGRCPTAADINTPDVPICVYDPLPIILLGILLGVAVIIIVVLLLYFMVD
SHG_5_HE_BBM61236_1_2016_06_Japan_Unknown_Betacoronavirus_1 DNVSSVWPLYPYGRCPTAANINTPDVPICVYDPLPIILLGILLGVAVIIIVVLLLYFMVD
R_AH65_TC_NA_ABP38271_1_NA_USA_Cattle_Betacoronavirus_1 DNVSSVWPLYPYGRCPTAADINTPDVPICVYDPLPIILLGILLGVAVIIIVVLLLYFMVD
3074A_2012_HE_AIV41835_1_2012_02_China_Human_Betacoronavirus_1 DNISSVWPLYPYGRCPTAADINIPDLPICVYDPLPVILLGILLGVAIVIIVVLLLHFMVD
5485_2007_HE_AIV41938_1_2007_06_China_Human_Betacoronavirus_1 DNISSVWPLYPYGRCPTAAYINIPDLPICVYDPLPVILLGILLGVAIVIIVVLLLHFMVD
TCG_22_HE_BBM61466_1_2016_12_Japan_Unknown_Betacoronavirus_1 DNVSSVWPLYPYGRCPTAANINTPDVPICVYDPLPIILLGILLGVAVIIIVVLLLYFMVD
TCG_28_HE_BBM61526_1_2017_12_Japan_Unknown_Betacoronavirus_1 DNVSSVWPLYPYGRCPTAANINTPDVPICVYDPLPIILLGILLVVAVIIIVVLLLYFMVD
TCG_19_HE_BBM61436_1_2016_12_Japan_Unknown_Betacoronavirus_1 DNVSSVWPLYPYGRCPTAANINTPDVPICVYDPLPIILLGILLGAAVIIIVVLLLYFMVD
BCOV_China_SWUN_A1_2018_NA_QOV05159_1_2018_11_01_China_Cattle_Betacoronavirus_1 DNVSSVWPLYPYGRCPTAADINTPDVPICVYDPLPIILLGILLGVAVIIIVVLLLYFMVD
3269A_2012_HE_AIV41841_1_2012_06_China_Human_Betacoronavirus_1 DNISSVWPLYPYGRCPTAAYINIPDLPICVYDPLPVILLGILLGVAIVIIVVLLLHFMVD
IWT_5_HE_BBM60986_1_2011_11_Japan_Unknown_Betacoronavirus_1 DNVSSVWPLYPYGRCPTAANINTPDVPICVYDPLPIILLGILLGVAVIIIVVLLLYFMVD
HCoV_OC43_Seattle_USA_SC0682_2019_NA_QEG03739_1_2019_USA_Human_Betacoronavirus_1 DNISSVWPLYPYGRCPTAAYINIPDLPICVYDPLPVILLGILLGVAIVIIVVFLLHFMVD
OC43_human_USA_913_29_1991_HE_AGT51599_1_1991_03_14_USA_Human_Betacoronavirus_1 DNVSSVWPLYPYGRCPTAADINIPDLPICVYDPLPVILLGILLGVAIVIIVVLLLHFMVD
:*:*:****:.:*.***** * .* ****:****:*****:* .*:::***::*:****
HCoV_OC43_UK_London_2011_HE_AMK59676_1_2011_08_20_United_Kingdom_Human_Betacoronavirus_1 NVTRLHDA
IWT_8_HE_BBM61016_1_2012_01_Japan_Unknown_Betacoronavirus_1 NGTRLHDA
IWT_27_HE_BBM61186_1_2017_02_Japan_Unknown_Betacoronavirus_1 NGTRLHDA
IWT_7_HE_BBM61006_1_2012_01_Japan_Unknown_Betacoronavirus_1 NGTRLHDA
5442_2007_HE_AIV41914_1_2007_06_China_Human_Betacoronavirus_1 NVTRLHDA
4408_HE_ACJ35485_1_1988_Germany_Human_Betacoronavirus_1 NGTRLHDA
MDS6_HE_QBP84703_1_NA_NA_Unknown_Betacoronavirus_1 NVTRLHDA
IWT_14_HE_BBM61056_1_2015_11_Japan_Unknown_Betacoronavirus_1 NGTRLHDA
5472_2007_HE_AIV41865_1_2007_06_China_Human_Betacoronavirus_1 NVTRLHDA
OC43_human_USA_901_33_1990_HE_AGT51470_1_1990_01_16_USA_Human_Betacoronavirus_1 NVTRLHDA
4_17_08_HE_AVZ61118_1_2017_04_USA_Cattle_Betacoronavirus_1 NGTRLHDA
PHEV_CoV_swine_USA_15TOSU1785_2015_NA_ARC95226_1_2015_08_15_USA_Swine_Betacoronavirus_1 NGVRQHYA
E_AH187_TC_NA_ACT10994_1_2000_01_01_USA_Cattle_Betacoronavirus_1 NGTRLHDA
OC43_human_USA_912_10_1991_HE_AGT51480_1_1991_02_07_USA_Human_Betacoronavirus_1 NVTRLHDA
OC43_human_USA_9612_48_1996_HE_AGT51440_1_1996_12_30_USA_Human_Betacoronavirus_1 NVTRLHDA
TCG_18_HE_BBM61406_1_2016_Japan_Unknown_Betacoronavirus_1 NGTRLHDA
MY_U236_12_HE_AQN78671_1_2012_04_02_Malaysia_Human_Betacoronavirus_1 NVTRLHDA
UNKNOWN_FJ425189_NA_ACJ66999_1_1994_01_01_USA_Deer_Betacoronavirus_1 NGTRLHDA
SHG_5_HE_BBM61236_1_2016_06_Japan_Unknown_Betacoronavirus_1 NGTRLHDA
R_AH65_TC_NA_ABP38271_1_NA_USA_Cattle_Betacoronavirus_1 NGTRLHDA
3074A_2012_HE_AIV41835_1_2012_02_China_Human_Betacoronavirus_1 NVTRLHDA
5485_2007_HE_AIV41938_1_2007_06_China_Human_Betacoronavirus_1 NVTRLHDA
TCG_22_HE_BBM61466_1_2016_12_Japan_Unknown_Betacoronavirus_1 NGTRLHDA
TCG_28_HE_BBM61526_1_2017_12_Japan_Unknown_Betacoronavirus_1 NGTRLHDA
TCG_19_HE_BBM61436_1_2016_12_Japan_Unknown_Betacoronavirus_1 NGTRLHDA
BCOV_China_SWUN_A1_2018_NA_QOV05159_1_2018_11_01_China_Cattle_Betacoronavirus_1 NGTRLHDA
3269A_2012_HE_AIV41841_1_2012_06_China_Human_Betacoronavirus_1 NVTRLHDA
IWT_5_HE_BBM60986_1_2011_11_Japan_Unknown_Betacoronavirus_1 NGTRLHDA
HCoV_OC43_Seattle_USA_SC0682_2019_NA_QEG03739_1_2019_USA_Human_Betacoronavirus_1 NVTRLHDA
OC43_human_USA_913_29_1991_HE_AGT51599_1_1991_03_14_USA_Human_Betacoronavirus_1 NVTRLHDA
* .* * *
>HCoV_OC43_UK_London_2011_HE_AMK59676_1_2011_08_20_United_Kingdom_Human_Betacoronavirus_1 ATGTTTTTGCTTCCTAGATTTATTCTAGTTAGCTGCATAATTGGTAGCTTAGGTTTTCATAACCCTCCTACCAATGTTGTTTCGCATGTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAATCATATTGTTAATATCAACCCCCATAATTATTCTTATATGGACCTTAATCCCGCTCTATGTGATTCTGGTAAAATATCATCTAAAGCTGACAACTCCATTTTCAGGAGTTTTCACTTTACCGATTTTTATAATTACACAGGCGAAGGTCAACAAATTATTTTTTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCAACCGTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTATACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTACCATATGTTTATAATGGCTCCGCACAAGCTACAGCTTTTTGTAAATCTGGTAGT------------TTAGTCCTTAATAACCCTGTTTATATAGCTCCTCAAGCTAACTCTGGG---ATTATTACTAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTTAACGGCAAGTTTTTGTCGAATACAAAGTATTATGATCATAGTCAATATTATTTTAATAAAGACACTGGTGTTATTTATGGTCTCAATTCTACAGAAACCATTACCACTGGTTTTGATCTTAATTGTCATTATTTAGTTTTACCCTCTGGTAATTATTTATCCATTTCAAATGAGCTATTGTTAACTGTTCCTACGAAAGCAATCTGTTTTAATAAGCGTAAGGATTTTACGCCTGTACAGGTTGTTGATTCGCGGTGGAACAATGCCAGGCAGTCTGATAACATGACGGCGGTTGCTTGTCAACCTCCGTACTGTTATTTTCGTAATTCTACTACCAACTATGTTGGTGTTTATGATATTAATCATGGAGATGCTGGTTTCACTAGCATACTCAGTGGTTTGTTATATAATTCATCTTGTTTTTCGCAGCAAGGTGTTTTTAGGTATGATAATATTAGCAGTGTCTGGCCTCTCTACCCCTATGGCAGATGTCCCACTGCTGCTGATATTAATATCCCTGATTTACCCATTTGTGTGTATGATCCGTTACCAGTTATTTTGCTTGGCATTCTTTTGGGCGTTGCGATTGTAATTATTGTAGTTTTGTTTTTACATTTTATGGTGGATAATGTTACTAGGCTGCATGATGCT >IWT_8_HE_BBM61016_1_2012_01_Japan_Unknown_Betacoronavirus_1 ATGTTTTTGCTTCCTAGATTTGTTCTAGTTAGCTGCATAATTGGTAGCTTAGGTTTTGACAACCCTCCTACCAATGTTGTTTCGCATTTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAATCATGTTGTTACTACCAATCCCCGTAATTATTCTTATATGGACCTTAATCCTGCCTTGTGTGGTTCTGGTAAAATATCATCTAAAGCTGGCAACTCCATTTTTAGGAGTTTTCACTTTACTGATTTTTATAATTACACAGGCGAAGGTCAACAAATTATTTTCTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCACCACTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTACACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTACCATATGTTTATAATGGCTCTGCACAACCTACAGCCCTTTGTAAATTTGGTAGT------------TTAGTTCTTAATAACCCTGCATACATAGCTCGTGAAGCTTATTTTGGGGATTATTATTATAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTCAACGGCAAGTTTTTGTCGAATACAAAGTATTATGATGATAGTCAATATTATTTTAATAAAGACACTGGTGTTATTTATGGTCTCAATTCTACTGAAACCATTACCACTGGTTTTGACTTTAATTGTCATTATTTAGTTCTACCCTCTGGTAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCTACTAAAGCAATCTGTCTTAATAAGCGTAAGGATTTTACGCCTGTACAGGTTGTTGATTCGCGGTGGAACAATGCCAGGCTGTCTGATAACATGACGGCAGTTGCTTGTCAACCTCCGTACTGTTATTTTCGTAATTCTACTACCAATTATGTTGGTGTTTATGATATCAATCATGGGGATGCTGGTTTTACTAGCATACTCAGTGGTTTGTTATATGACTCACCTTGTTTTTCGCAGCAAGGTGTTTTTAGGTATGATAATGTTAGCAGTGTCTGGCCTCTCTACCCTTATGGCAGATGCCCTACTGCTGCTAATATTAATACCCCTGATGTACCTATTTGTGTGTATGATCCGCTACCAATTATTTTGCTTGGCATTCTTTTGGGTGTTGCGGTCATAATTATTGTAGTTTTGTTGTTATATTTTATGGTGGATAATGGTACTAGGCTGCATGATGCT >IWT_27_HE_BBM61186_1_2017_02_Japan_Unknown_Betacoronavirus_1 ATGTTTTTGCTTCCTAGATTTGTTCTAGTTAGCTGCATAATTGGTAGCCTAGGTTTTGACAACCCTCCTACCAATGTTGTTTCTCATTTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAATCATGTTGTTACTACCAATCCCCGTAATTATTCTTATATGGACCTTAATCCTGCCTTGTGTGGTTCTGGTAAAATATCATCTAAAGCTGGCAACTCCATCTTTAGGAGTTTTCACTTTACTGATTTTTATAATTACACAGGCGAAGGTCAACAAATTATTTTCTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCACCACTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTACACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTACCATATGTTTATAATGGCTCTGCACAATCTACAGCCCTTTGTAAATCTGGTAGT------------TTAGTTCTTAATAACCCTGCATACATAGCTCGTGAAGCTAATTTTGGGGATTATTATTATAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTCAACGGCAAGTTTTTGTCGAATACAAAGTATTATGATGATAGTCAATATTATTTTAATAAAGACACTGGTGTTATTTATGGTCTCAATTCTACTGAAACCATTACCACTGGTTTTGACTTTAATTGTCATTATTTAGTTCTACCCTCTGGTAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCTACTAAAGCAATCTGTCTTAATAAGCGTAAGGATTTTACGCCTGTACAGGTTGTTGATTCGCGGTGGAACAATGCCAGGCTGTCTGATAACATGACGGCAGTTGCTTGTCAACCCCCGTACTGTTATTTTCGTAATTCTACTACCAATTATGTTGGTGTTTATGATATCAATCATGGGGATGCTGGTTTTACTAGCATACTCAGTGGTTTGTTATATGACTCACCTTGTTTTTCGCAGCAAGGTGTTTTTAGGTATGATAATGTTAGCAGTGTCTGGCCTCTCTACCCTTATGGCAGATGCCCTACTGCTGCTAATATTAATACCCCTGATGTACCTATTTGTGTGTATGATCCGCTACCAATTATTTTGCTTGGCATTCTTTTGGTTGTTGCGGTCATAATTATTGTAGTTTTGTTGTTATATTTTATGGTGGATAATGGTACTAGGCTGCATGATGCT >IWT_7_HE_BBM61006_1_2012_01_Japan_Unknown_Betacoronavirus_1 ATGTTTTTGCTTCCTAGATTTGTTCTAGTTAGCTGCATAATTGGTAGCTTAGGTTTTGACAACCCTCCTACCAATGTTGTTTCGCATTTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAATCATGTTGTTACTACCAATCCCCGTAATTATTCTTATATGGACCTTAATCCTGCCTTGTGTGGTTCTGGTAAAATATCATCTAAAGCTGGCAACTCCATTTTTAGGAGTTTTCACTTTACTGATTTTTATAATTACACAGGCGAAGGTCAACAAATTATTTTCTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCACCACTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTACACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTACCATATGTTTATAATGGCTCTGCACAACCTACAGCCCTTTGTAAATTTGGTAGT------------TTAGTTCTTAATAACCCTGCATACATAGCTCGTGAAGCTTATTTTGGGGATTATTATTATAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTCAACGGCAAGTTTTTGTCGAATACAAAGTATTATGATGATAGTCAATATTATTTTAATAAAGACACTGGTGTTATTTATGGTCTCAATTCTACTGAAACCATTACCACTGGTTTTGACTTTAATTGTCATTATTTAGTTCTACCCTCTGGTAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCTACTAAAGCAATCTGTCTTAATAAGCGTAAGGATTTTACGCCTGTACAGGTTGTTGATTCGCGGTGGAACAATGCCAGGCTGTCTGATAACATGACGGCAGTTGCTTGTCAACCTCCGTACTGTTATTTTCGTAATTCTACTACCAATTATGTTGGTGTTTATGATATCAATCATGGGGATGCTGGTTTTACTAGCATACTCAGTGGTTTGTTATATGACTCACCTTGTTTTTCGCAGCAAGGTGTTTTTAGGTATGATAATGTTAGCAGTGTCTGGCCTCTCTACCCTTATGGCAGATGCCCTACTGCTGCTAATATTAATACCCCTGATGTACCTATTTGTGTGTATGATCCGCTACCAATTATTTTGCTTGGCATTCTTTTGGGTGTTGCGGTCATAATTATTGTAGTTTTGTTGTTATATTTTATGGTGGATAATGGTACTAGGCTGCATGATGCT >5442_2007_HE_AIV41914_1_2007_06_China_Human_Betacoronavirus_1 ATGTTTTTGCTTCCTAGATTTATTCTAGTTAGCTGCATAATTGGTAGCTTAGGTTTTTATAACCCTCCTACCAATGTTGTTTCGCATGTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAATCATATTGGTAATATCAACCCCCATAATTATTCTTATATGGACCTTAATCCTGCTCTATGTGATTCTGGTAAAATATCATCTAAAGCTGGCAACTCCATTTTCAGGAGTTTTCACTTTACCGATTTTTATAATTACACAGGCGAAGGTCAACAAATTATTTTTTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCAACCGTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTATACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTATCATATGTTTATAATGGCTCCGCACAAGCTACATCTTTTTGTAAATCTGGTAGT------------TTAGTCCTTAATAACCCTGCTTATATAGCTCCTCAAGCTAAATCTGGG---ATTATTACTAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTTAATGGCAAGTTTTTGTCGAATACAAAGTATTATGATCATAGTCAATATTATTTTAATAAAGACACTGGTGTTATTTATGGTCTCAATTCAACAGAAACCATTACCACTGGTTTTGATCTTAATTGTCATTATTTAGTTTTACCCTCTGGTAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCTACGAAAGCAATCTGTTTTAATAAGCGTAAGGATTTTACGCCTGTACAGGTTGTTGATTCGCGGTGGAACAATGCCAGGCAGTCTGATAACATGACGGCGGTTGCTTGTCAACCTCCGTACTGTTATTTTCGTAATTCTACTACCAACTATGTTGGTGTTTATGATATTAATCATGGAGATGCTGGTTTCACTAGCATACTCAGTGGTTTGTTATATAATTCATCTTGTTTTTCGCAGCAAGGTGTTTTTAGGTATGATAATATTAGCAGTGTTTGGCCTCTCTACCCCTATGGCAGATGTCCTACTGCTGCTTATATTAATATCCCTGATTTACCCATTTGTGTGTATGATCCGCTACCAGTTATTTTGCTTGGCATTCTTTTGGGCGTTGCCATTGTAATTATTGTAGTTTTGTTGTTACATTTTATGGTGGATAATGTTACTAGGCTGCATGATGCT >4408_HE_ACJ35485_1_1988_Germany_Human_Betacoronavirus_1 ATGTTTTTGCTTCCTAGATTTGTTCTAGTTAGCTGCATAATTGGTAGTCTAGGTTTTGAAAACCCTCCTACCAATGTTGTTTCTCATTTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAATCATGTTGTTAATACCAACCCCCGTAATTATTCTTATATGGACCTTAATCCTGCCCTGTGTGATTCTGGTAAAATATCATCTAAAGCTGGCAACTCCATTTTTAGGAGTTTTCACTTTACCGATTTTTATAATTACACAGGCGAAGGTCAACAAATTATTTTTTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCACCACTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTACACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTACCATATGTTTACAATGGCTCTGCACAATCTACAGCTCTTTGTAAATCTGGTAGT------------TTAGTTCTTAATAACCCTGCATATATAGCTCGTGAAGCTAATTTTGGGGATTATTATTATAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTTAACGGCAAGTTTTTGTCGAATACAAAGTATTATGATGATAGTCAATATTATTTTAATAAAGACACTGGTGTTATTTATGGTCTCAATTCTACTGAAACCATTACCACTGGTTTTGATTTTAATTGTCATTATTTAGTTCTACCCTCTGGCAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCTACTAAAGCAATCTGTCTTAATAAGCGTAAGGATTTTACGCCTGTACAGGTTGTTGACTCGCGGTGGAACAATGCCAGGCAGTCTGATAACATGACGGCAGTTGCTTGTCAACCCCCGTACTGTTATTTTCGTAATTCTACTACCAACTATGTTGGTGTTTATGATATCAATCATGGGGATGCTGGTTTTACTAGCATACTCAGTGGTTTGTTATATGATTCACCCTGTTTTTCACAGCAAGGTGTTTTTAGGTATAATAATGTTAGCAGTGTTTGGCCTCTCTACCCCTATGGCAGGTGTCCTACTGCTGCTGATATTAATACCCCTGATGTACCTATTTGTGTGTATGATCCGCTACCACTTATTTTGCTTGGCATTCTTTTGGGTGTTGCGGTCATAATTATTGTAGTTTTGTTGTTATATTTTATGGTGGATAATGGTACTAGGCTGCATGATGCT >MDS6_HE_QBP84703_1_NA_NA_Unknown_Betacoronavirus_1 ATGTTTTTGCTTCCTAGATTTATTCTAGTTAGCTGCATAATTGGTAGCTTAGGTTTTTATAACCCTCCTACCAATGTTGTTTCGCATGTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAATCATATTGGTAATATCAACCCCCATAATTATTCTTATATGGACCTTAATCCTGCTCTATGTGATTCTGGTAAAATATCATCTAAAGCTGGCAACTCCATTTTCAGGAGTTTTCACTTTACCGATTTTTATAATTACACAGGCGAAGGTCAACAAATTATTTTTTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCAACCGTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTATACTCAGGTTTATAAGACTATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTATCATATGTTTATAATGGCTCCGCACAAGTTACATCTTTTTGTAAATCTGGTAGT------------TTAGTCCTTAATAACCCTGCTTATATAGCTCCTCAAGCTAAATCTGGG---ATTATTACTAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTTAACGGCAAGTTTTTGTCGAATACAAAGTATTATGATCATAGTCAATATTATTTTAATAAAGACACTGGTGTTATTTATGGTCTCAATTCAACAGAAACCATTACCACTGGTTTTGATCTTAATTGTCATTATTTAGTTTTACCCTCTGGTAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCTACGAAAGCAATCTGTTTTAATAAGCGTAAGGATTTTACGCCTGTACAGGTTGTTGATTCGCGGTGGAACAATGCCAGGCAGTCTGATAACATGACGGCGGTTGCTTGTCAACCTCCGTACTGTTATTTTCGTAATTCTACTACCAACTATGTTGGTGTTTATGATATTAATCATGGAGATGCTGGTTTCACTAGCATACTCAGTGGTTTGTTATATAATTCATCTTGTTTTTCGCAGCAAGGTGTTTTTAGGTATGATAATATTAGCAGTGTTTGGCCTCTCTACCCCTATGGCAGATGTCCTACTGCTGCTTATATTAATATCCCTGATTTACCCATTTGTGTGTATGATCCGCTACCAGTTATTTTGCTTGGCATTCTTTTGGGCGTTGCCATTGTAATTATTGTAGTTTTGTTGTTACATTTTATGGTGGATAATGTTACTAGGCTGCATGATGCT >IWT_14_HE_BBM61056_1_2015_11_Japan_Unknown_Betacoronavirus_1 ATGTTTTTGCTTCCTAGATTTGTTCTAGTTAGCTGCATAATTGGTAGCCTAGGTTTTGACAACCCTCCTACCAATGTCGTTTCGCATTTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAATCATGTTGTTACTACCAACCCCCGTAATTATTCTTATATGGACCTTAATCCCGCCTTGTGTGGTTCTGGTAAAATATCATCTAAAGCTGGCAACTCCATCTTTAGGAGTTTTCACTTTACTGATTTTTATAATTACACAGGCGAAGGTCAACAAATTATTTTCTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCACCACTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTACACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTACCATATGTTTATAATGACTCTGCACAATCTAAAGCCCTTTGTAAATCTGGTAGT------------TTAGTTCTTAATAACCCTGCATACATAGCTCGTGAAGCTAATTTTGGGGATTATTATTATAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTCAACGGCAAGTTTTTGTCGAATACAAAGTATTATGATGATAGTCAATATTATTTTAATAAAGACACTGGTGTTATTTATGGTCTCAATTCTACTGAAACCATTACCACTGGTTTTGACTTTAATTGTCATTATTTAGTTCTACCCTCTGGTAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCTACTAAAGCAATCTGTCTTAATAAGCGTAAGGATTTTACGCCTGTACAGGTTGTTGATTCGCGGTGGAACAATGCCAAGCAGTCTGATAACATGACGGCAGTTGCTTGTCAACCCCCGTACTGTTATTTTCGTAATTCTACTACCAATTATGTTGGTGTTTATGATATCAATCATGGGGATGCTGGTTTTACTAGCATACTCAGTGGTTTGTTATATGACTCACCTTGTTTTTCGCAGCAAGGTGTTTTTAGGTATGATAATGTTAGCAGTGTCTGGCCTCTCTACCCTTATGGCAGATGCCCTACTGCTGCTGATATTAATACCCCTGATGTACCCATTTGTGTGTATGACCCGCTACCAATTATTTTGCTTGGCATTTTTTTGGGTGTTGCGGTCATAATTATTGTAGTTTTGTTGTTATATTTTATGGTGGATAATGGTACTAGGCTGCATGATGCT >5472_2007_HE_AIV41865_1_2007_06_China_Human_Betacoronavirus_1 ATGTTTTTGCTTCCTAGATTTATTCTAGTTAGCTGCATAATTGGTAGCTTAGGTTTTTATAACCCTCCTACCAATGTTGTTTCGCATGTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAATCATATTGGTAATATCAACCCCCATAATTATTCTTATATGGACCTTAATCCTGCTCTATGTGATTCTGGTAAAATATCATCTAAAGCTGGCAACTCCATTTTCAGGAGTTTTCACTTTACCGATTTTTATAATTACACAGGCGAAGGTCAACAAATTATTTTTTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCAACCGTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTATACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTATCATATGTTTATAATGGCTCCGCACAAGCTACATCTTTTTGTAAATCTGGTAGT------------TTAGTCCTTAATAACCCTGCTTATATAGCTCCTCAAGCTAAATCTGGG---ATTATTACTAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTTAATGGAAAGTTTTTGTCGAATACAAAGTATTATGATCATAGTCAATATTATTTTAATAAAGACACTGGTGTTATTTATGGTCTCAATTCAACAGAAACCATTACCACTGGTTTTGATCTTAATTGTCATTATTTAGTTTTACCCTCTGGTAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCTACGAAAGCAATCTGTTTTAATAAGCGTAAGGATTTTACGCCTGTACAGGTTGTTGATTCGCGGTGGAACAATGCCAGGCAGTCTGATAACATGACGGCGGTTGCTTGTCAACCTCCGTACTGTTATTTTCGTAATTCTACTACCAACTATGTTGGTGTTTATGATATTAATCATGGAGATGCTGGTTTCACTAGCATACTCAGTGGTTTGTTATATAATTCATCTTGTTTTTCGCAGCAAGGTGTTTTTAGGTATGATAATATTAGCAGTGTTTGGCCTCTCTACCCCTATGGCAGATGTCCTACTGCTGCTTATATTAATATCCCTGATTTACCCATTTGTGTGTATGATCCGCTACCAGTTATTTTGCTTGGCATTCTTTTGGGCGTTGCCATTGTAATTATTGTAGTTTTGTTGTTACATTTTATGGTGGATAATGTTACTAGGCTGCATGATGCT >OC43_human_USA_901_33_1990_HE_AGT51470_1_1990_01_16_USA_Human_Betacoronavirus_1 ATGTTTTTGCTTCCTAGATTTATTCTAGTTAGCTGCATAATTGGTAGCTTAGGTTTTCATAACCCTCCTACCAATGTTGTTTCGCATGTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAATCATATTGTTAATATCAACCCCCATAATTATTCTTATATGGACCTTAATCCTGTTCTGTGTGATTCTGGTAAAATATCATCTAAAGCTGGCAACTCCATTTTTAGGAGTTTTCACTTTACCGATTTTTATAATTACACAGGCGAAGGTCAACAAATTATCTTTTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCAACCGTGCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTATACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTACCATATGTTTATAATGGCTCCGTACAAGCTAGAGCTTTTTGTAAACCTGGTACT------------TTAGTCCTTAATAACCCTGCATATATAGCTCCTCAAGCTAACTCTGGGGATTATTATCATAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTTAACGGCAAGTTTTTGTCGAATACAAAGTATTATGATTATAGTCAATATTATTTTAATAAAGACACTGGTGTTATTTATGGTCTCAATTCTACAGAAACCATTACCACTGGTTTTGATTTTAATTGTCATTATTTAGTTTTACCCTCTGGTAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCAACGAAAGCAATCTGTCTTAATAAGCGTAAGGATTTTACGCCTGTACAGGTTGTTGATTCGCGGTGGAACAATGCCAGGCAGTCTGATAACATGACGGCGGTTGCTTGTCAACCTCCGTACTGTTATTTTCGCAATTCTACTACCAACTATGTTGGTGTTTATGATATTAATCATGGGGATGCTGGTTTTACTAGCATACTCAGTGGTTTGTTATATAATGCACCTTGTTTTTCGCAGCAAGGCGTTTTTAGGTATGATAATGTTAGCAGTGTCTGGCCTCTCTACCCTTATGGCAGATGTCCTACTGCTGCTGATATTAATATCCCTGATTTACCCATTTGTGTGCATGATCCGCTACCAGTTATTTTGCTTGGCATTCTTTTGGGCGTTGCGATTGTAATTATTGTAGTTTTGTTGTTATATTTTATGGTGGATAATGTTACTAGGCTGCATGATGCT >4_17_08_HE_AVZ61118_1_2017_04_USA_Cattle_Betacoronavirus_1 ATGTTTTTGCTTCCTAGATTTGTTCTAGTTAGCTGCATAATTGGTAGCCTAGGTTTTGATAACCCTCCTACCAATGTTGTTTCGCATTTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAATCATGTTGTTACTACCAATCCCCGCAATTATTCTTATATGGACCTAAATCCAGCCTTGTGTGGTTCTGGTAAAATATCATCTAAAGCTGGCAACTCCATTTTTAGGAGTTTTCACTTTACCGATTTTTATAATTACACAGGCGAAGGTCAACAAATTATTTTCTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCACCACTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTACACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTACCATATGTTTATAATGGCTCTGCACAATCTACAGCCCTTTGTAAATCTGGTAGT------------TTAGTTCTTAATAACCCTGCATATATAGCTCGTGAAGCTAATTTTGGGGATTATTATTATAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTTAACGGCAAGTTTTTGTCGAATACAAAGTATTATGATGATAGTCAATATTATTTTAATAAAGACACTGGTGTTATTTATGGTCTCAATTCTACTGAAACCATTACCACTGGTTTTGACTTTAATTGTCATTATTTAGTTCTACCCTCTGGTAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCCACTAAAGCAATCTGTCTTAATAAGCGTAAGGATTTTACTCCTGTACAGGTTGTTGATTCGCGGTGGAACAATGCCAGGCAGTCTGATAACATGACGGCAGTTGCTTGTCAACCCCCGTACTGTTATTTTCGTAATTCTACTACCAATTATGTTGGTGTTTATGATATCAATCATGGGGATGCTGGTTTTACTAGCATACTCAGTGGTTTGTTATATGACTCACCTTGTTTTTCGCAGCAAGGTGTTTTTAGGTATGATAATGTTAGCAGTGTCTGGCCTCTTTACCCTTATGGCAGATGCCCTACTGCTGCTGATATTAATACCCCTGATGTACCTATTTGTGTGTATGATCCGCTACCAATTATTTTGCTTGGCATTCTTTTGGGTGTTGCGGTCATAATTATTGTAGTTTTGTTGTTATATTTTATGGTGGATAATGGTACTAGGCTGCATGATGCT >PHEV_CoV_swine_USA_15TOSU1785_2015_NA_ARC95226_1_2015_08_15_USA_Swine_Betacoronavirus_1 ATGGTTTTGCTTCCTAGATTCTGTCTAGTCTGCAGCATCATTGGTACTTTTGGTTTTGAAAACCCTCCTACCAATGTTGTTTCACATTTTAATGAAGATTGGTTTTTATTTGGGGACAGTCGTACCGACTGTAATCATGTCGTTAAAACCAACCCTCGTAATTATTCTTATATGGACCTTAATCCTGCTCTGTGTGATTCTGGTAAAATATCATCTAAAGCTGGCAACTCTATTTTTAGGAGTTTTCACTTTACCGATTTTTATAATTACACAGGTGAAGGTCAACAAATCATTTTTTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCACTAGTGTTGGTAATAATGATATATGGATGCAGAATAAAGGCTTATTTTACACTCAGGTTTATAAGAAGATGGCTGTTTATCGCAGTCTTACTTTAGTTAATGTGCCATACGTATACAATGGGTCAGCTCAACCCACCGCATTTTGTAAGTCTGGCAGT------------TTAATTCTTAACAATCCTGCATATATAGCCCGTGAGGCTAATGTGGGTGATTATTATTATAAGTCTGAAGCAGATTTTTCTCTCTCAGGTTGTGACGAGTATATCGTACCACTTTGTGTTTTTAATGGCAAGTTTTTGTCGAATACAAAGTATTATGATGATAGTCAATATTATTTTAATAAAGACACTGGTGTTATTTATGGTCTCAATTCTACTGAAACCATTACCACTGGTTTTGATTTTAATTGTCATTATTTAGTTCTACCCTCTGGTAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCTACTAAAGCAATCTGTCTTAATAAGCGTAAGGTTTTTACGCCTGTACAGGTGGTTGATTCGCGGTGGAACAATGCCAGGCAGTCTGATAACATGACGGCAGTTGCATGTCAACTCCCATACTGTTATTTTCGTAATTCTACTTCCAACTATGTTGGTATCTACGATGTTAACCATGGTGATGCTGGTTTTACTAGCATACTCAGTGGTTTGTTGTATGATTCACCTTGTTTTTCGCAGCAAGGTGTTTTTAGGTATGATAATGTCAGCACCGTTTGGCCTCTTTTTCCTTTTGGTAATTGCCCTACTGCTGCTAGTATTATTTCCTCTGATTCACCTATATGTGTTTATGACCCATTACCAATTATTCTGCTTGGCATTCTTTTAGGTGTCGCGGTCATAGTTATAGTTGTTTTGTTGTTATATTTCATGGTGGATAATGGTGTTAGGCAGCATTATGCT >E_AH187_TC_NA_ACT10994_1_2000_01_01_USA_Cattle_Betacoronavirus_1 ATGTTTTTGCTTCCTAGATTTGTTCTAGTTAGCTGCATAATTGGTAGCCTAGGTTTTGACAACCCTCCTACCAATGTTGTTTCGCATTTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAATCATGTTGTTACTACCAACCCCCGTAATTATTCTTATATGGACCTTAATCCTGCCTTGTGTGGTTCTGGTAAAATATCAGCTAAAGCTGGCAACTCCATTTTTAGGAGTTTTCACTTTACTGATTTTTATAATTACACAGGCGAAGGTCAACAAATTATTTTCTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCACCACTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTACACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTACCATATGTTTATAATGGCTCTGCACAATCTACAGCCCTTTGTAAATCTGGTAGT------------TTAGTTCTTAATAACCCTGCATATATAGCTCGTGAAGCTAATTTTGGGGATTATTATTATAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTCAACGGCAAGTTTTTGTCGAATACAAAGTATTATGATGATAGTCAATATTATTTTAATAAAGACACTGGTGTTATTTATGGTCTCAATTCCACTGAAACCATTACCACTGGTTTTGACTTTAATTGTCATTATTTAGTTCTACCCTCTGGTAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCTACTAAAGCAATCTGTCTTAATAAGCGTAAGGATTTTACGCCTGTACAGGTTGTTGATTCGCGGTGGAACAATGCCAGGCAGTCTGATAACATGACGGCAGTTGCTTGTCAACCCCCGTACTGTTATTTTCGTAATTCTACTACCAATTATGTTGGTGTTTATGATATCAATCATGGGGATGCTGGTTTTACTAGCATACTCAGTGGTTTGTTATATGACTCACCTTGTTTTTCGCAGCAAGGTGTTTTTAGGTATGATAATGTTAGCAGTGTCTGGCCTCTCTACTCTTATGGCAGATGCCCTACTGCTGCTGATATTAATACCCCTGATGTACCCATTTGTGTGTATGATCCGCTACCAATTATTTTGCTTGGCATTCTTTTGGGTGTTGCGGTCATAATTATTGTAGTTTTGTTGTTATATTTTATGGTGGATAATGGTACTAGGCTGCATGATGCT >OC43_human_USA_912_10_1991_HE_AGT51480_1_1991_02_07_USA_Human_Betacoronavirus_1 ATGTTTTTGCTTCCTAGATTTATTCTAGTTAGCTGCATAATTGGTAGCTTAGGTTTTTATAACCCTCCTACCAATGTTGTTTCGCATGTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAATCATATTGTTAATATCAACCCCCATAATTATTCTTATATGGACCTTAATCCTGCTCTATGTGATTCTGGTAAAATATCATCTAAAGCTGGCAACTCCATTTTTAGGAGTTTTCACTTTACCGATTTTTATAATTACACAGGCGAAGGTCAACAAATTATTTTTTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCAACCGTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTATACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTACCATATGTTTATAATGGCTCCGCACAAGCTACAGCTCTTTGTAAATCTGGTAGT------------TTAGTCCTTAATAACCCTGCATATATAGCTCCTCAAGCTAACTCTGGGGATTATTATTATAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTTAACGGCAAGTTTTTGTCGAATACAAAGTATTATGATGATAGTCAATATTATCTTAATAAAGACACTGGTGTTATTTATGGTCTCAATTCTACAGAAACCATTACCACTGGTTTTGATCTTAATTGTCATTATTTAGTTTTACCCTCTGGTAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCTACGAAAGCAATCTGTTTTAATAAGCGTAAGGATTTTACGCCTGTACAGGTTGTTGATTCGCGGTGGAACAATGCCAGGCAGTCTGATAACATGACGGCGGTTGCTTGTCAACCTCCGTACTGTTATTTTCGTAATTCTACTACCAACTATGTTGGTGTTTATGATATTAATCATGGAGATGCTGGTTTCACTAGCATACTCAGTGGTTTGTTATATAATTCACCTTGTTTTTCGCAGCAAGGCGTTTTTAGGTATGATAATGTTAGCAGTGTCTGGCCTCTCTACCCCTATGGCAGATGTCCCACTGCTGCTGATATTAATATCCCTGATTTACCCATTTGTGTGTATGATCCGCTACCAGTTATTTTGCTTGGCATTCTTTTGGGCGTTGCGATTGTAATTATTGTAGTTTTGTTGTTACATTTTATGGTGGATAATGTTACTAGGCTGCATGACGCT >OC43_human_USA_9612_48_1996_HE_AGT51440_1_1996_12_30_USA_Human_Betacoronavirus_1 ATGTTTTTGTTTCCTAGATTTATTCTAGTTAGCTGCATAATTGGTAGCTTAGGTTTTTATAACCCTCCTACCAATGTTGTTTCGCATGTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAATCATATTGGTAATATCAACCCCCATAATTATTCTTATATGGACCTTAATCCTGCTCTATGTGATTCTGGTAAAATATCATCTAAAGCTGGCAACTCCATTTTCAGGAGTTTTCACTTTACCGATTTTTATAATTACACAGGCGAAGGTCAACAAATTATTTTTTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCAACCGTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTATACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTACCATATGTTTATAATGGCTCCGCACAAGCTACAGCTTTTTGTAAATCTGGTAGT------------TTAGTCCTTAATAACCCTGCTTATATAGCTCCTCAAGCTAACTCTGGG---ATTATTACTAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTTAACGGCAAGTTTTTGTCGAATACAAAGTATTATGATCATAGTCAATATTATTTCAATAAAGACACTGGTGTTATTTATGGTCTCAATTCTACAGAAACCATTACCACTGGTTTTGATCTTAATTGTCATTATTTAGTTTTACCCTCTGGTAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCTACGAAAGCAATCTGTTTTAATAAGCGTAAGGATTTTACGCCTGTACAGGTTGTTGATTCGCGGTGGAACAATGCCAGGCAGTCTGATAACATGACGGCGGTTGCTTGTCAACCTCCGTACTGTTATTTTCGTAATTCTACTACCAACTATGTTGGTGTTTATGATATTAATCATGGAGATGCTGGTTTCACTAGCATACTCAGTGGTTTGTTATATAATTCATCTTGTTTTTCGCAGCAAGGCGTTTTTAGGTATGATAATATTAGCAGTGTCTGGCCTCTCTACCCCTATGGCAGATGTCCCACTGCTGCTGATATTAATATCCCTGATTTACCCATTTGTGTGTATGATCCGCTACCAGTTATTTTGCTTGGCATTCTTTTGGGCGTTGCGATTGTAATTATTGTAGTTTTGTTGTTACATTTTATGGTGGATAATGTTACTAGGCTGCATGATGCT >TCG_18_HE_BBM61406_1_2016_Japan_Unknown_Betacoronavirus_1 ATGTTTTTGCTTCCTAGATTTGTTCTAGTTAGCTGCATAATTGGTAGCCTAGGTTTTGACAACCCTCCTACCAATGTTGTTTCTCATTTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAATCATGTTGTTACTACCAATCCCCGTAATTATTCTTATATGGACCTTAATCCTGCCTTGTGTGGTTCTGGTAAAATATCATCTAAAGCTGGCAACTCCATTTTTAGGAGTTTTCACTTTACTGATTTTTATAATTACACAGGCGAAGGTCAACAAATTATTTTCTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCACCACTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTACACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTACCATATGTTTATAATGGCTCTGCACAATCTACAGCCCTTTGTAAATCTGGTAGT------------TTAGTTCTTAATAATCCTGCATACATAGCTCGTGAAGCTAATTTTGGGGATTATTATTATAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTCAATGGCAAGTTTTTGTCGAATACAAAGTATTATGATGATAGTCAATATTATTTTAATAAAGACACTGGTGTTATTTATGGTTTCAATTCTACTGAAACCATTACCACTGGTTTTGACTTTAATTGTCATTATTTAGTTCTACCCTCTGGTAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCTACTAAAGCAATCTGTCTTAATAAGCGTAAGGATTTTACGCCTGTACAGGTTGTTGATTCGCGGTGGAACAATGCCGGGCTGTCTGATAACATGACGGCAGTTGCTTGTCAACCCCCGTACTGTTATTTTCGTAATTCTACTACCAATTATGTTGGTGTTTATGATATCAATCATGGGGATGCTGGTTTTACTAGCATACTCAGTGGTTTGTTATATGACTCACCTTGTTTTTCGCAGCAAGGTGTTTTTAGGTATGATAATGTTAGCAGTGTCTGGCCTCTCTACCCTTATGGCAGATGCCCTACTGCTGCTAATATTAATACCCCTGATGTACCTATTTGTGTGTATGATCCGCTACCAATTATTTTGCTTGGCATTCTTTTGGGTGTTGCGGTCATAATTATTGTAGTTTTGTTGTTATATTTTATGGTGGATAATGGTACTAGGCTGCATGATGCT >MY_U236_12_HE_AQN78671_1_2012_04_02_Malaysia_Human_Betacoronavirus_1 ATGTTTTTGCTTCCTAGATTTATTCTAGTTAGCTGCGTAATTGGTAGCTTAGGTTTTTATAACCCTCCTACCAATGTTGTTTCGCATGTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAATCATATTGTTAATATCAACCCCCATAATTATTCTTATATGGACCTTAATCCTGCTTTATGTGATTCTGGTAAAATATCATCTAAAGCTGGCAACTCCATTTTCAGGAGTTTTCACTTTACCGATTTTTATAATTATACAGGCGAAGGTCAACAAATTATTTTTTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCAACCGTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTATACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTATCATATGTTTATAATGGCTCCGCACAAGCTACATCTTTTTGTAAATCTGGTAGT------------TTAGTCCTTAATAACCCTGCTTATATAGCTCCTCAAGCTAAATCTGGG---ATTATTACTAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTTAACGGCAAGTTTTTGTCGAATACAAAGTATTATGATCATAGTCAATATTATTTTAATAAAGACACTGGTGTTATTTATGGTCTCAATTCAACAGAAACCATTACCACTGGTTTTGATCTTAATTGTCATTATTTAGTTTTACCCTCTGGTAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCTACGAAAGCAATCTGTTTTAATAAGCGTAAGGATTTTACGCCTGTACAGGTTGTTGATTCGCGGTGGAACAATGCCAGGCATTCTGATAACATGACGGCGGTTGCTTGTCAACCTCCGTACTGTTATTTTCGTAATTCTACTACCAACTATGTTGGTGTTTATGATATTAATCATGGAGATGCTGGTTTCACTAGCATACTCAGTGGTTTGTTATATAATTCATCTTGTTTTTCGCAGCAAGGTGTTTTTAGGTATGATAATATTAGCAGTGTTTGGCCTCTCTACCCCTATGGCAGATGTCCTACTGCTGCTTATATTAATATCCCTGATTTACCCATTTGTGTGTATGATCCGCTACCAGTTATTTTGCTTGGCATTCTTTTGGGCGTTGCCATTGTAATTATTGTAGTTTTGTTGTTACATTTTATGGTGGATAATGTTACTAGGCTGCATGATGCT >UNKNOWN_FJ425189_NA_ACJ66999_1_1994_01_01_USA_Deer_Betacoronavirus_1 ATGTTTTTGCTTCCTAGATTTGTTCTAGTTAGCTGCATAATTGGTATCCTAGGTTTTGACAACCCTCCTACCAATGTTGTTTCGCATTTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAATCATGTTGTTACTACCAATCCCCGTAATTATTCTTATATGGACCTTAATCCTGCCTTGTGTGATTCTGGTAAAATATCATCTAAAGCTGGCAACTCCATTTTTAGGAGTTTTCACTTTACCGATTTTTATAATTACACAGGCGAAGGTCAACAAATTATTTTCTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCACCACTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTACACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTACCATATGTTTATAATGGCTCTGCACAATCTACAGCTCTTTGTAAATCTGGTAGT------------TTAGTTCTTAATAACCCTGCATATATAGCTCGTGAAGCTAATTTTGGGGATTATTATTATAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTCAACGGCAAGTTTTTGTCGAATACAAAGTATTATGATGATAGTCAATATTATTTTAATAAAGACACTGGTGTTATTTATGGTCTCAATTCTACTGAAACCATTACCACTGGTTTTGATTTTAATTGTCATTATTTAGTTCTACCCTCTGGTAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCTACTAAAGCAATCTGTCTTAATAAGCGTAAGGATTTTACGCCTGTACAGGTTGTTGATTCGCGGTGGAACAATGCCAGGCAGTCTGATAACATGACGGCAGTTGCTTGTCAACCCCCGTACTGTTATTTTCGTAATTCTACTACCAATTATGTTGGTGTTTATGATATCAATCATGGGGATGCTGGTTTTACTAGCATACTCAGTGGTTTGTTATATGACTCACCTTGTTTTTCGCAGCAAGGTGTTTTTAGGTATGATAATGTTAGCAGTGTCTGGCCTCTCTACCCTTATGGCAGATGCCCTACTGCTGCTGATATTAATACCCCTGATGTACCTATTTGTGTGTATGATCCGCTACCAATTATTTTGCTTGGCATTCTTTTGGGTGTTGCGGTCATAATTATTGTAGTTTTGTTGTTATATTTTATGGTGGATAATGGTACTAGGCTGCATGATGCT >SHG_5_HE_BBM61236_1_2016_06_Japan_Unknown_Betacoronavirus_1 ATGTTTTTGCTTCCTAGATTTGTTCTAGTTAGCTGCATAATTGGTAGCCTAGGTTTTGATAACCCTCCTACCAATGTTGTTTCGCATTTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAATCATGTTGTTACTACCAATCCCCGTAATTATTCTTATATGGACCTTAATCCTGCCTTGTGTGGTTCTGGTAAAATATCATCTAAAGCTGGCAACTCCATCTTTAGGAGTTTTCACTTTACTGATTTTTATAATTACACAGGCGAAGGTCAACAAATTATTTTCTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCACCACTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTACACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTACCATATGTTTATAATGGCTCTGCACAATCTACAGCCCTTTGTAAATCTGGTAGT------------TTAGTTCTTAATAACCCTGCATACATAGCTCGTGAAGCTAATTTAGGGGATTATTATTATAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTCAACGGCAAGTTTTTGTCGAATACAAAGTATTATGATGATAGTCAATATTATTTTAATAAAGACACTGGTGTTATTTATGGTCTCAATTCTACTGAAACCATTACCACTGGTTTTGACTTTAATTGTCATTATTTAGTTCTACCCTCTGGTAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCTACTAAAGCAATCTGTCTTAGTAAGCGTAAGGATTTTACGCCTGTACAGGTTGTTGATTCGCGGTGGAACACTGCCAGGCTGTCTGATAACATGACGGCAGTTGCTTGTCAACCCCCGTACTGTTATTTTCGTAATTCTACTACCAATTATGTTGGTGTTTATGATATCAATCATGGGGATGCTGGTTTTACTAGCATACTCAGTGGTTTGTTATATGACTCACCTTGTTTTTCGCAGCAAGGTGTTTTTAGGTATGATAATGTTAGCAGTGTCTGGCCTCTCTACCCTTATGGCAGATGCCCTACTGCTGCTAATATTAATACCCCTGATGTACCTATTTGTGTGTATGATCCGCTACCAATTATTTTGCTTGGCATTCTTTTGGGTGTTGCGGTCATAATTATTGTAGTTTTGTTGTTATATTTTATGGTGGATAATGGTACTAGGCTGCATGATGCT >R_AH65_TC_NA_ABP38271_1_NA_USA_Cattle_Betacoronavirus_1 ATGTTTTTGCTTCCTAGATTTGTTCTAGTTAGCTGCATAATTGGTAGCCTAGGTTTTGACAACCCTCCTACCAATGTTGTTTCGCATTTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAATCATGTTGTTACTACCAACCCCCGTAATTATTCTTATATGGACCTTAATCCTGCCTTGTGTGGTTCTGGTAAAATATCATCTAAAGCTGGCAACTCCATTTTTAGGAGTTTTCACTTTACCGATTTTTATAATTACACAGGCGAAGGTCAACAAATTATTTTCTATGAGGGTGTTAGTTTTACGCCTTATCATGCCTTTAAATGCACCACTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTACACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTACCATATGTTTATAATGGCTCTGCACAATCTACAGCCCTTTGTAAATCTGGTAGT------------TTAGTTCTTAATAACCCTGCATATATAGCTCGTGAAGCTAATTTTGGGGATTATTATTATAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTCAACGGCAAGTTTTTGTCGAATACAAAGTATTATGATGATAGTCAATATTATTTTAATAAAGACACTGGTGTTATTTATGGTCTCAATTCTACTGAAACCATTACCACTGGTTTTGACTTTAATTGTCATTATTTAGTTCTACCCTCTGGTAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCTACTAAAGCAATCTGTCTTAATAAGCGTAAGGATTTTACGCCTGTACAGGTTGTTGATTCGCGGTGGAACAATGCCAGGCAGTCTGATAACATGACGGCAGTTGCTTGTCAACCCCCGTACTGTTATTTTCGTAATTCTACTACCAATTATGTTGGTGTTTATGATATCAATCATGGGGATGCTGGTTTTACTAGCATACTCAGTGGTTTGTTATATGACTCACCTTGTTTTTCGCAGCAAGGTGTTTTTAGGTATGATAATGTTAGCAGTGTCTGGCCTCTCTACCCCTATGGCAGATGCCCTACTGCTGCTGATATTAATACCCCTGATGTACCTATTTGTGTGTATGATCCGCTACCAATTATTTTGCTTGGCATTCTTTTGGGTGTTGCGGTCATAATTATTGTAGTTTTGTTGTTATATTTTATGGTGGATAATGGTACTAGGCTGCATGATGCT >3074A_2012_HE_AIV41835_1_2012_02_China_Human_Betacoronavirus_1 ATGTTTTTGCTTCCTAGATTTATTCTAGTTAGCTGCATAATTGGTAGCTTAGGTTTTCATAACCCTCCTACCAATGTTGTTTCGCATGTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAATCATATTGGTAATATCAACCCCCATAATTATTCTTATATGGACCTTAATCCCGCTCTATGTGATTCTGGTAAAATATCATCTAAAGCTGGCAACTCCATTTTCAGGAGTTTTCACTTTACCGATTTTTATAATTACACAGGCGAAGGTCAACAAATTATTTTTTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCAACCGTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTATACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTACCATATGTTTATAATGGCTCCGCACAAGCTATAGCTTTTTGTAAATCTGGTAGT------------TTAGTCCTTAATAACCCTGCTTATATAGCTCCTCAAGCTAACTCTGGG---ATTATTACTAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTTAACGGCAAGTTTTTGTCGAATACAAAGTATTATGATCATAGTCAATATTATTTTAATAAAGACACTGGTGTTATCTATGGTCTCAATTCTACAGAAACCATTACCACTGGTTTTGATCTTAATTGTCATTATTTAGTTTTACCCTCTGGTAATTATTTATCCATTTCAAATGAGCTATTGTTAACTGTTCCTACGAAAGCAATCTGTTTTAATAAGCGTAAGGATTTTACGCCTGTACAGGTTGTTGATTCGCGGTGGAACAATGCCAGGCAGTCTGATAACATGACGGCGGTTGCTTGTCAACCTCCGTACTGTTATTTTCGTAATTCTACTACCAACTATGTTGGTGTTTATGATATTAATCATGGAGATGCTGGTTTCACTAGCATACTCAGTGGTTTGTTATATAATTCATCTTGTTTTTCGCAGCAAGGCGTTTTTAGGTATGATAATATTAGCAGTGTCTGGCCTCTCTACCCCTATGGCAGATGTCCCACTGCTGCTGATATTAATATCCCTGATTTACCCATTTGTGTGTATGATCCGCTACCAGTTATTTTGCTTGGCATTCTTTTGGGCGTTGCGATTGTAATTATTGTAGTTTTGTTGTTACATTTTATGGTGGATAATGTTACTAGGCTGCATGATGCT >5485_2007_HE_AIV41938_1_2007_06_China_Human_Betacoronavirus_1 ATGTTTTTGCTTCCTAGATTTATTCTAGTTAGCTGCATAATTGGTAGCTTAGGTTTTTATAACCCTCCTACCAATGTTGTTTCGCATGTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAATCATATTGGTAATATCAACCCCCATAATTATTCTTATATGGACCTTAATCCTGCTCTATGTGATTCTGGTAAAATATCATCTAAAGCTGGCAACTCCATTTTCAGGAGTTTTCACTTTACCGATTTTTATAATTACACAGGCGAAGGTCAACAAATTATTTTTTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCAACCGTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTATACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTATCATATGTTTATAATGGCTCCGCACAAGCTACATCTTTTTGTAAATCTGGTAGT------------TTAGTCCTTAATAACCCTGCTTATATAGCTCCTCAAGCTAAATCTGGG---ATTATTACTAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTTAATGGCAAGTTTTTGTCGAATACAAAGTATTATGATCATAGTCAATATTATTTTAATAAAGACACTGGTGTTATTTATGGTCTCAATTCAACAGAAACCATTACCACTGGTTTTGATCTTAATTGTCATTATTTAGTTTTACCCTCTGGTAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCTACGAAAGCAATCTGTTTTAATAAGCGTAAGGATTTTACGCCTGTACAGGTTGTTGATTCGCGGTGGAACAATGCCAGGCAGTCTGATAACATGACGGCGGTTGCTTGTCAACCTCCGTACTGTTATTTTCGTAATTCTACTACCAACTATGTTGGTGTTTATGATATTAATCATGGAGATGCTGGTTTCACTAGCATACTCAGTGGTTTGTTATATAATTCATCTTGTTTTTCGCAGCAAGGTGTTTTTAGGTATGATAATATTAGCAGTGTTTGGCCTCTCTACCCCTATGGCAGATGTCCTACTGCTGCTTATATTAATATCCCTGATTTACCCATTTGTGTGTATGATCCGCTACCAGTTATTTTGCTTGGCATTCTTTTGGGCGTTGCCATTGTAATTATTGTAGTTTTGTTGTTACATTTTATGGTGGATAATGTTACTAGGCTGCATGATGCT >TCG_22_HE_BBM61466_1_2016_12_Japan_Unknown_Betacoronavirus_1 ATGTTTTTGCTTCCTAGATTTGTTCTAGTTAGCTGCATAATTGGTAGCCTAGGTTTTGACAACCCTCCTACCAATGTTGTTTCGCATTTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAACCATGTTGTTACTACCAATCCCCGTAATTATTCTTATATGGACCTTAATCCTGCCTTGTGTGGTTCTGGTAAAATATCATCTAAAGCTGGCAACTCCATCTTTAGGAGTTTTCACTTTACTGATTTTTATAATTACACAGGCGAAGGTCAACAAATTATCTTCTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCACCACTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTACACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTACCATATGTTTATAATGGCTCTGCACAATCTACAGCCCTTTGTAAATCTGGTAGT------------TTAGTTCTTAATAACCCTGCATACATAGCTCGTGAAGCTAATTTAAGGGATTATTATTATAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTCAACGGCAAGTTTTTGTCGAATACAAAGTATTATGATGATAGTCAATATTATTTTAATAAAGACACTGGTGTTATTTATGGTCTCAATTCTACTGAAACCATTACCACTGGTTTTGACTTTAATTGTCATTATTTAGTTCTACCCTCTGGTAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCTACTAAAGCAATCTGTCTTAATAAGCGTAAGGATTTTACGCCTGTACAGGTTGTTGATTCGCGGTGGAACAATGCCAGGCTGTCTGATAACATGACGGCAGTTGCTTGTCAACCCCCGTACTGTTATTTTCGTAATTCTACTACCAATTATGTTGGTGTTTATGATATCAATCATGGGGATGCTGGTTTTACTAGCATACTCAGTGGTTTGTTATATGACTCACCTTGTTTTTCGCAGCAAGGTGTTTTTAGGTATGATAATGTTAGCAGTGTCTGGCCTCTCTACCCTTATGGCAGATGCCCTACTGCTGCTAATATTAATACCCCTGATGTACCTATTTGTGTGTATGATCCGCTACCAATTATTTTGCTTGGCATTCTTTTGGGTGTTGCGGTCATAATTATTGTAGTTTTGTTGTTATATTTTATGGTGGATAATGGTACTAGGCTGCATGATGCT >TCG_28_HE_BBM61526_1_2017_12_Japan_Unknown_Betacoronavirus_1 ATGTTTTTGCTTCCTAGATTTGTTCTAGTTAGCTGCATAATTGGTAGCCTAGGTTTTGACAACCCTCCTACCAATGTTGTTTCTCATTTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAATCATGTTGTTACTACCAATCCCCGTAATTATTCTTATATGGACCTTAATCCTGCCTTGTGTGGTTCTGGCAAAATATCATCTAAAGCTGGCAACTCCATCTTTAGGAGTTTTCACTTTACTGATTTTTATAATTACACAGGCGAAGGTCAACAAATTATTTTCTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCACCACTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTACACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTACCATATGTTTATAATGGCTCTGCACAATCTACAGCCCTTTGTAAATCTGGTAGT------------TTAGTTCTTAATAACCCTGCATACATAGCTCGTGAAGCTAATTTTGGGGATTATTATTATAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTCAACGGCAAGTTTTTGTCGAATACAAAGTATTATGATGATAGTCAATATTATTTTAATAAAGACACTGGTGTTATTTATGGTCTCAATTCTACTGAAACCATTACCACTGGTTTTGACTTTAATTGTCATTATTTAGTTCTACCCTCTGGTAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCTACTAAAGCAATCTGTCTTAATAAGCGTAAGGATTTTACGCCTGTACAGGTTGTTGATTCGCGGTGGAACAATGCCAGGCTGTCTGATAACATGACGGCAGTTGCTTGTCAACCCCCGTACTGTTATTTTCGTAATTCTACTACCAATTATGTTGGTGTTTATGATATCAATCATGGGGATGCTGGTTTTACTAGCATACTCAGTGGTTTGTTATATGACTCACCTTGTTTTTCGCAGCAAGGTGTTTTTAGGTATGATAATGTTAGCAGTGTCTGGCCTCTCTACCCTTATGGCAGATGCCCTACTGCTGCTAATATTAATACCCCTGATGTACCTATTTGTGTGTATGATCCGCTACCAATTATTTTGCTTGGCATTCTTTTGGTTGTTGCGGTCATAATTATTGTAGTTTTGTTGTTATATTTTATGGTGGATAATGGTACTAGGCTGCATGATGCT >TCG_19_HE_BBM61436_1_2016_12_Japan_Unknown_Betacoronavirus_1 ATGTTTTTGCTTCCTAGATTTGTTCTAGTTAGCTGCATAATTGGTAGCCTAGGTTTTGACAACCCTCCTACCAATGTTGTTTCTCATTTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAATCATGTTGTTACTACCAATCCCCGTAATTATTCTTATATGGACCTTAATCCTGCCTTGTGTGGTTCTGGTAAAATATCATCTAAAGCTGGCAACTCCATTTTTAGGAGTTTTCACTTTACTGATTTTTATAATTACACAGGCGAAGGTCAACAAATTATTTTCTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCACCACTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTACACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTACCATATGTTTATAATGGCTCTGCACAATCTACAGCCCTTTGTAAATCTGGTAGT------------TTAGTTCTTAATAACCCTGCATACATAGCTCGTGAAGCTAATTTTGGGGATTATTATTATAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTCAACGGCAAGTTTTTGTCGAATACAAAGTATTATGATGATAGTCAATATTATTTTAATAAAGACACTGGTGTTATTTATGGTTTCAATTCTACTGAAACCATTACCACTGGTTTTGACTTTAATTGTCATTATTTAGTTCTACCCTCTGGTAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCTACTAAAGCAATCTGTCTTAATAAGCGTAAGGATTTTACGCCTGTACAGGTCGTTGATTCTCGGTGGAACAATGCCAGGCTGTCTGATAACATGACGGCAGTTGCTTGTCAACCCCCGTACTGTTATTTTCGTAATTCTACTACCAATTATGTTGGTGTTTATGATATCAATCATGGGGATGCTGGTTTTACTAGCATACTCAGTGGTTTGTTATATGACTCACCTTGTTTTTCGCAGCAAGGTGTTTTTAGGTATGACAATGTTAGCAGTGTCTGGCCTCTCTACCCTTATGGCAGATGCCCTACTGCTGCTAATATTAATACCCCTGATGTACCTATTTGTGTGTATGATCCGCTACCAATTATTTTGCTTGGCATTCTTTTGGGTGCTGCGGTCATAATTATTGTAGTTTTGTTGTTATATTTTATGGTGGATAATGGTACTAGGCTGCATGATGCT >BCOV_China_SWUN_A1_2018_NA_QOV05159_1_2018_11_01_China_Cattle_Betacoronavirus_1 ATGTTTTTGCTTCCTAGATTTGTTCTAGTTAGCTGCATAATTGGTAGTCTAGGTTTTCACAACCCTCCTACCAATGTTGTTTCGCATTTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAATCATGTTGTTACTACCAATCCCCGTAATTATTCTTACATGGACCTTAATCCTGCCTTGTGTGATTCTGGTAAAATATCATCTAAAGCTGGCAACTCCATTTTTAGGAGTTTTCACTTTACCGATTTTTATAATTACACAGGCGAAGGTCAACAAATTATTTTTTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCACCACTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTATACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTACCATATGTTTACAATGGCTCTGCACAAGCTACAGCTCTTTGTAAATCTGGTAGT------------TTAGTTCTTAATAACCCCGCCTATATTGCTCGTGAAGCTAATGTGGGTGATTATTATTATAAGGCTGAAGCTGACTTTTATTTGTCAGGTTGTGACGAGTATATCATACCACTTTGTATTTTTAATGGCAAGTTTTTGTCAAATACAAAGTATTATGATGATAGTCAATATTATTTTAATAAAGACACTGGTGTTATTTATGGTCTCAATTCCACTGAAACCATTACCACTGGTTTTGACTTTAATTGTCATTATTTAGTTCTACCCTCTGGTAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCTACTAAAGCAATCTGTCTCAATAAGCGTAAGGATTTTACGCCTGTACAAGTTGTTGATTCTCGGTGGAACAATGCCAGGCAGTCTGATAACATGACGGCAGTTGCTTGTCAACCCCCGTACTGTTATTTTCGTAATTCTACTACCAATTATGTTGGTGTTTATGATATCAATCATGGGGATGCCGGTTTTACTAGCATACTCAGTGGTTTGTTATATGACTCACCTTGTTTTTCGCAGCAAGGTGTTTTTAGGTATGATAATGTTAGCAGTGTCTGGCCTCTCTACCCCTATGGCAGATGCCCTACTGCAGCTGATATTAATACCCCTGATGTACCTATTTGTGTGTATGACCCGCTACCAATTATTTTGCTTGGCATTCTTTTGGGTGTTGCGGTCATAATTATTGTAGTTTTGTTGTTATATTTTATGGTGGATAATGGTACTAGGCTGCATGATGCT >3269A_2012_HE_AIV41841_1_2012_06_China_Human_Betacoronavirus_1 ATGTTTTTGCTTCCTAGATTTATTCTAGTTAGCTGCATAATTGGTAGCTTAGGTTTTTATAACCCTCCTACCAATGTTGTTTCGCATGTAAATGGAGATTGGTTCTTATTTGGTGACAGTCGTTCAGATTGTAATCATATTGGTAATATCAACCCCCATAATTATTCTTATATGGACCTTAATCCTGCTCTATGTGATTCTGGTAAAATATCATCTAAAGCTGGCAACTCCATTTTCAGGAGTTTTCACTTTACCGATTTTTATAATTACACAGGCGAAGGTCAACAAATTATTTTTTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCAACCGTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTATACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTATCATATGTTTATAATGGCTCCGCACAAGCTACATCTTTTTGTAAATCTGGTAGT------------TTAGTCCTTAATAACCCTGCTTATATAGCTCCTCAAGCTAAATCTGGG---ATTATTACTAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTTAACGGCAAGTTTTTGTCGAATACAAAGTATTATGATCATAGTCAATATTATTTTAATAAAGACACTGGTGTTATTTATGGTCTCAATTCAACAGAAACCATTACCACTGGTTTTGATCTTAATTGTCATTATTTAGTTTTACCCTCTGGTAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCTACGAAAGCAATCTGTTTTAATAAGCGTAAGTATTTTACGCCTGTACAGGTTGTTGATTCGCGGTGGAACAATGCCAGGCAGTCTGATAACATGACGGCGGTTGCTTGTCAACCTCCGTACTGTTATTTTCGTAATTCTACTACCAACTATGTTGGTGTTTATGATATTAATCATGGAGATGCTGGTTTCACTAGCATACTCAGTGGTTTGTTATATAATTCATCTTGTTTTTCGCAGCAAGGTGTTTTTAGGTATGATAATATTAGCAGTGTTTGGCCTCTCTACCCCTATGGCAGATGTCCTACTGCTGCTTATATTAATATCCCTGATTTACCTATTTGTGTGTATGATCCGCTACCAGTTATTTTGCTTGGCATTCTTTTGGGCGTTGCCATTGTAATTATTGTAGTTTTGTTGTTACATTTTATGGTGGATAATGTTACTAGGCTGCATGATGCT >IWT_5_HE_BBM60986_1_2011_11_Japan_Unknown_Betacoronavirus_1 ATGTTTTTGCTTCCTAGATTTGTTCTAGTTAGCTGCATAATTGGTAGCCTAGGTTTTGACAACCCTCCTACCAATGTTGTTTCGCATTTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAATCATGTTGTTACTACCAATCCCCGTAATTATTCTTATATGGACCTTAATCCTGCCTTGTGTGGTTCTGGTAAAATATCATCTAAAGCTGGCAACTCCATTTTCAGGAGTTTTCACTTTACTGATTTTTATAATTACACAGGCGAAGGTCAACAAATTATTTTCTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCACCACTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTACACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTACCATATGTTTATAATGGCTCTGCACAATCTACAGCCCTTTGTAAATCTGGTAGT------------TTAGTTCTTAATAACCCTGCATACATAGCTCGTGAAGCTAATTTTGGGGATTATTATTATAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTCAACGGCAAGTTTTTGTCGAATACAAAGTATTATGATGATAGTCAATATTATTTTAATAAAGACACTGGTGTTATTTATGGTCTCAATTCTACTGAAACCATTACCACTGGTTTTGACTTTAATTGTCATTATTTAGTTCTACCCTCTGGTAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCTACTAAAGCAATCTGTCTTAATAAGCGTAAGGATTTTACGCCTGTACAGGTTGTTGATTCTCGGTGGAACAATGCCAGGCTGTCTGATAACATGACGGCAGTTGCTTGTCAACCCCCGTACTGTTATTTTCGTAATTCTACTACCAATTATGTTGGTGTTTATGATATCAATCATGGGGATGCTGGTTTTACTAGCATACTCAGTGGTTTGTTATATGACTCACCTTGTTTTTCGCAGCAAGGTGTTTTTAGGTATGATAATGTTAGCAGTGTCTGGCCTCTCTACCCTTATGGCAGATGCCCTACTGCTGCTAATATTAATACCCCTGATGTACCTATTTGTGTGTATGATCCGCTACCAATTATTTTGCTTGGCATTCTTTTGGGTGTTGCGGTCATAATTATTGTAGTTTTGTTGTTATATTTTATGGTGGATAATGGTACTAGGCTGCATGATGCT >HCoV_OC43_Seattle_USA_SC0682_2019_NA_QEG03739_1_2019_USA_Human_Betacoronavirus_1 ATGTTTTTGCTTTCTAGATTTATTCTAGTTAGCTGCGTAATTGGTAGCTTAGGTTTTTATAACCCTCCTACCAATGTTGTTTCGCATGTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAATCATATTGTTAATATCAACCCCCATAATTATTCTTATATGGACCTTAATCCTGCTTTATGTGATTCTGGTAAAATATCATCTAAAGCTGGCAACTCCATTTTCAGGAGTTTTCACTTTACCGATTTTTATAATTATACAGGCGAAGGTCAACAAATTATTTTTTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCAACCGTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTATACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTATCATATGTTTATAATGGCTCCGCACAAGCTACATCTTTTTGTAAATCTGGTAGTAAGCTTAAGAATTTAGTCCTTAATAACCCTGCTTATATAGCTCCTCAAGCTAAATCTGGG---ATTATTACGAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTTAACGGCAAGTCTTTGTCGAATACAAAGTATTATGATCATAGTCAATATTATTTTAATAAAGACACTGGTGTTATTTATGGTCTCAATTCAACAGAAACCATTACCACTGGTTTTGATCTTAATTGTCATTATTTAGTTTTACCCTCTGGTAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCTACGAAAGCAATCTGTTTTAATAAGCGTAAGGATTTTACGCCTGTACAGGTTGTTGATTCGCGGTGGAACAATGCCAGGCAGTCTGATAACATGACGGCGGTTGCTTGTCAACCTCCGTACTGTTATTTTCGTAATTCTACTACCAACTATGTTGGTGTTTATGATATTAATCATGGAGATGCTGGTTTCACTAGCATACTCAGTGGTTTGTTATATAATTCATCTTGTTTTTCGCAGCAAGGTGTTTTTAGGTATGATAATATTAGCAGTGTTTGGCCTCTCTACCCCTATGGCAGATGTCCTACTGCTGCTTATATTAATATCCCTGATTTACCCATTTGTGTGTATGATCCGCTACCAGTTATTTTGCTTGGCATTCTTTTGGGCGTTGCCATTGTAATTATTGTAGTTTTTTTGTTACATTTTATGGTGGATAATGTTACTAGGCTGCATGATGCT >OC43_human_USA_913_29_1991_HE_AGT51599_1_1991_03_14_USA_Human_Betacoronavirus_1 ATGTTTTTGCTTCCTAGATTTATTCTAGTTAGCTGCATAATTGGTAGCTTAGGTTTTTATAACCCTCCTACCAATGTTGTTTCGCATGTAAATGGAGATTGGTTTTTATTTGGTGACAGTCGTTCAGATTGTAATCATATTGTTAATATCAACCCCCATAATTATTCTTATATGGACCTTAATCCTGCTCTATGTGATTCTGGTAAAATATCATCTAAAGCTGGCAACTCCATTTTTAGGAGTTTTCACTTTACCGATTTTTATAATTACACAGGCGAAGGTCAACAAATTATTTTTTATGAGGGTGTTAATTTTACGCCTTATCATGCCTTTAAATGCAACCGTTCTGGTAGTAATGATATTTGGATGCAGAATAAAGGCTTGTTTTATACTCAGGTTTATAAGAATATGGCTGTGTATCGCAGCCTTACTTTTGTTAATGTACCATATGTTTATAATGGCTCCGCACAAGCTACAGCTCTTTGTAAATCTGGTAGT------------TTAGTCCTTAATAACCCTGCATATATAGCTCCTCAAGCTAACTTTGGGGATTATTATTATAAGGTTGAAGCTGATTTTTATTTGTCAGGTTGTGACGAGTATATCGTACCACTTTGTATTTTTAACGGCAAGTTTTTGTCGAATACAAAGTATTATGATGATAGTCAATATTATTTTAATAAAGACACTGGTGTTATTTATGGTCTCAATTCTACAGAAACCATTACCACTGGTTTTGATCTTAATTGTCATTATTTAGTTTTACCCTCTGGTAATTATTTAGCCATTTCAAATGAGCTATTGTTAACTGTTCCTACGAAAGCAATCTGTTTTAATAAGCGTAAGGATTTTACGCCTGTACAGGTTGTTGATTCGCGGTGGAACAATGCCAGGCAGTCTGATAACATGACGGCGGTTGCTTGTCAACCTCCGTACTGTTATTTTCGTAATTCTACTACCAACTATGTTGGTGTTTATGATATTAATCATGGAGATGCTGGTTTCACTAGCATACTCAGTGGTTTGTTATATAATTCACCTTGTTTTTCGCAGCAAGGCGTTTTTAGGTATGATAATGTTAGCAGTGTCTGGCCTCTCTACCCCTATGGCAGATGTCCCACTGCTGCTGATATTAATATCCCTGATTTACCCATTTGTGTGTATGATCCGCTACCAGTTATTTTGCTTGGCATTCTTTTGGGCGTTGCGATTGTAATTATTGTAGTTTTGTTGTTACATTTTATGGTGGATAATGTTACTAGGCTGCATGATGCT
>HCoV_OC43_UK_London_2011_HE_AMK59676_1_2011_08_20_United_Kingdom_Human_Betacoronavirus_1 MFLLPRFILVSCIIGSLGFHNPPTNVVSHVNGDWFLFGDSRSDCNHIVNINPHNYSYMDLNPALCDSGKISSKADNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCNRSGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQATAFCKSGS----LVLNNPVYIAPQANSG-IITKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDHSQYYFNKDTGVIYGLNSTETITTGFDLNCHYLVLPSGNYLSISNELLLTVPTKAICFNKRKDFTPVQVVDSRWNNARQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYNSSCFSQQGVFRYDNISSVWPLYPYGRCPTAADINIPDLPICVYDPLPVILLGILLGVAIVIIVVLFLHFMVDNVTRLHDA >IWT_8_HE_BBM61016_1_2012_01_Japan_Unknown_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDLNPALCGSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQPTALCKFGS----LVLNNPAYIAREAYFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLNSTETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNARLSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRYDNVSSVWPLYPYGRCPTAANINTPDVPICVYDPLPIILLGILLGVAVIIIVVLLLYFMVDNGTRLHDA >IWT_27_HE_BBM61186_1_2017_02_Japan_Unknown_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDLNPALCGSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQSTALCKSGS----LVLNNPAYIAREANFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLNSTETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNARLSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRYDNVSSVWPLYPYGRCPTAANINTPDVPICVYDPLPIILLGILLVVAVIIIVVLLLYFMVDNGTRLHDA >IWT_7_HE_BBM61006_1_2012_01_Japan_Unknown_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDLNPALCGSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQPTALCKFGS----LVLNNPAYIAREAYFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLNSTETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNARLSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRYDNVSSVWPLYPYGRCPTAANINTPDVPICVYDPLPIILLGILLGVAVIIIVVLLLYFMVDNGTRLHDA >5442_2007_HE_AIV41914_1_2007_06_China_Human_Betacoronavirus_1 MFLLPRFILVSCIIGSLGFYNPPTNVVSHVNGDWFLFGDSRSDCNHIGNINPHNYSYMDLNPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCNRSGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVSYVYNGSAQATSFCKSGS----LVLNNPAYIAPQAKSG-IITKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDHSQYYFNKDTGVIYGLNSTETITTGFDLNCHYLVLPSGNYLAISNELLLTVPTKAICFNKRKDFTPVQVVDSRWNNARQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYNSSCFSQQGVFRYDNISSVWPLYPYGRCPTAAYINIPDLPICVYDPLPVILLGILLGVAIVIIVVLLLHFMVDNVTRLHDA >4408_HE_ACJ35485_1_1988_Germany_Human_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFENPPTNVVSHLNGDWFLFGDSRSDCNHVVNTNPRNYSYMDLNPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQSTALCKSGS----LVLNNPAYIAREANFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLNSTETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNARQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRYNNVSSVWPLYPYGRCPTAADINTPDVPICVYDPLPLILLGILLGVAVIIIVVLLLYFMVDNGTRLHDA >MDS6_HE_QBP84703_1_NA_NA_Unknown_Betacoronavirus_1 MFLLPRFILVSCIIGSLGFYNPPTNVVSHVNGDWFLFGDSRSDCNHIGNINPHNYSYMDLNPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCNRSGSNDIWMQNKGLFYTQVYKTMAVYRSLTFVNVSYVYNGSAQVTSFCKSGS----LVLNNPAYIAPQAKSG-IITKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDHSQYYFNKDTGVIYGLNSTETITTGFDLNCHYLVLPSGNYLAISNELLLTVPTKAICFNKRKDFTPVQVVDSRWNNARQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYNSSCFSQQGVFRYDNISSVWPLYPYGRCPTAAYINIPDLPICVYDPLPVILLGILLGVAIVIIVVLLLHFMVDNVTRLHDA >IWT_14_HE_BBM61056_1_2015_11_Japan_Unknown_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDLNPALCGSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNDSAQSKALCKSGS----LVLNNPAYIAREANFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLNSTETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNAKQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRYDNVSSVWPLYPYGRCPTAADINTPDVPICVYDPLPIILLGIFLGVAVIIIVVLLLYFMVDNGTRLHDA >5472_2007_HE_AIV41865_1_2007_06_China_Human_Betacoronavirus_1 MFLLPRFILVSCIIGSLGFYNPPTNVVSHVNGDWFLFGDSRSDCNHIGNINPHNYSYMDLNPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCNRSGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVSYVYNGSAQATSFCKSGS----LVLNNPAYIAPQAKSG-IITKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDHSQYYFNKDTGVIYGLNSTETITTGFDLNCHYLVLPSGNYLAISNELLLTVPTKAICFNKRKDFTPVQVVDSRWNNARQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYNSSCFSQQGVFRYDNISSVWPLYPYGRCPTAAYINIPDLPICVYDPLPVILLGILLGVAIVIIVVLLLHFMVDNVTRLHDA >OC43_human_USA_901_33_1990_HE_AGT51470_1_1990_01_16_USA_Human_Betacoronavirus_1 MFLLPRFILVSCIIGSLGFHNPPTNVVSHVNGDWFLFGDSRSDCNHIVNINPHNYSYMDLNPVLCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCNRAGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSVQARAFCKPGT----LVLNNPAYIAPQANSGDYYHKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDYSQYYFNKDTGVIYGLNSTETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNARQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYNAPCFSQQGVFRYDNVSSVWPLYPYGRCPTAADINIPDLPICVHDPLPVILLGILLGVAIVIIVVLLLYFMVDNVTRLHDA >4_17_08_HE_AVZ61118_1_2017_04_USA_Cattle_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDLNPALCGSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQSTALCKSGS----LVLNNPAYIAREANFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLNSTETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNARQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRYDNVSSVWPLYPYGRCPTAADINTPDVPICVYDPLPIILLGILLGVAVIIIVVLLLYFMVDNGTRLHDA >PHEV_CoV_swine_USA_15TOSU1785_2015_NA_ARC95226_1_2015_08_15_USA_Swine_Betacoronavirus_1 MVLLPRFCLVCSIIGTFGFENPPTNVVSHFNEDWFLFGDSRTDCNHVVKTNPRNYSYMDLNPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTSVGNNDIWMQNKGLFYTQVYKKMAVYRSLTLVNVPYVYNGSAQPTAFCKSGS----LILNNPAYIAREANVGDYYYKSEADFSLSGCDEYIVPLCVFNGKFLSNTKYYDDSQYYFNKDTGVIYGLNSTETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKVFTPVQVVDSRWNNARQSDNMTAVACQLPYCYFRNSTSNYVGIYDVNHGDAGFTSILSGLLYDSPCFSQQGVFRYDNVSTVWPLFPFGNCPTAASIISSDSPICVYDPLPIILLGILLGVAVIVIVVLLLYFMVDNGVRQHYA >E_AH187_TC_NA_ACT10994_1_2000_01_01_USA_Cattle_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDLNPALCGSGKISAKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQSTALCKSGS----LVLNNPAYIAREANFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLNSTETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNARQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRYDNVSSVWPLYSYGRCPTAADINTPDVPICVYDPLPIILLGILLGVAVIIIVVLLLYFMVDNGTRLHDA >OC43_human_USA_912_10_1991_HE_AGT51480_1_1991_02_07_USA_Human_Betacoronavirus_1 MFLLPRFILVSCIIGSLGFYNPPTNVVSHVNGDWFLFGDSRSDCNHIVNINPHNYSYMDLNPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCNRSGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQATALCKSGS----LVLNNPAYIAPQANSGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYLNKDTGVIYGLNSTETITTGFDLNCHYLVLPSGNYLAISNELLLTVPTKAICFNKRKDFTPVQVVDSRWNNARQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYNSPCFSQQGVFRYDNVSSVWPLYPYGRCPTAADINIPDLPICVYDPLPVILLGILLGVAIVIIVVLLLHFMVDNVTRLHDA >OC43_human_USA_9612_48_1996_HE_AGT51440_1_1996_12_30_USA_Human_Betacoronavirus_1 MFLFPRFILVSCIIGSLGFYNPPTNVVSHVNGDWFLFGDSRSDCNHIGNINPHNYSYMDLNPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCNRSGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQATAFCKSGS----LVLNNPAYIAPQANSG-IITKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDHSQYYFNKDTGVIYGLNSTETITTGFDLNCHYLVLPSGNYLAISNELLLTVPTKAICFNKRKDFTPVQVVDSRWNNARQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYNSSCFSQQGVFRYDNISSVWPLYPYGRCPTAADINIPDLPICVYDPLPVILLGILLGVAIVIIVVLLLHFMVDNVTRLHDA >TCG_18_HE_BBM61406_1_2016_Japan_Unknown_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDLNPALCGSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQSTALCKSGS----LVLNNPAYIAREANFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGFNSTETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNAGLSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRYDNVSSVWPLYPYGRCPTAANINTPDVPICVYDPLPIILLGILLGVAVIIIVVLLLYFMVDNGTRLHDA >MY_U236_12_HE_AQN78671_1_2012_04_02_Malaysia_Human_Betacoronavirus_1 MFLLPRFILVSCVIGSLGFYNPPTNVVSHVNGDWFLFGDSRSDCNHIVNINPHNYSYMDLNPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCNRSGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVSYVYNGSAQATSFCKSGS----LVLNNPAYIAPQAKSG-IITKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDHSQYYFNKDTGVIYGLNSTETITTGFDLNCHYLVLPSGNYLAISNELLLTVPTKAICFNKRKDFTPVQVVDSRWNNARHSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYNSSCFSQQGVFRYDNISSVWPLYPYGRCPTAAYINIPDLPICVYDPLPVILLGILLGVAIVIIVVLLLHFMVDNVTRLHDA >UNKNOWN_FJ425189_NA_ACJ66999_1_1994_01_01_USA_Deer_Betacoronavirus_1 MFLLPRFVLVSCIIGILGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDLNPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQSTALCKSGS----LVLNNPAYIAREANFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLNSTETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNARQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRYDNVSSVWPLYPYGRCPTAADINTPDVPICVYDPLPIILLGILLGVAVIIIVVLLLYFMVDNGTRLHDA >SHG_5_HE_BBM61236_1_2016_06_Japan_Unknown_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDLNPALCGSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQSTALCKSGS----LVLNNPAYIAREANLGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLNSTETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLSKRKDFTPVQVVDSRWNTARLSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRYDNVSSVWPLYPYGRCPTAANINTPDVPICVYDPLPIILLGILLGVAVIIIVVLLLYFMVDNGTRLHDA >R_AH65_TC_NA_ABP38271_1_NA_USA_Cattle_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDLNPALCGSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVSFTPYHAFKCTTSGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQSTALCKSGS----LVLNNPAYIAREANFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLNSTETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNARQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRYDNVSSVWPLYPYGRCPTAADINTPDVPICVYDPLPIILLGILLGVAVIIIVVLLLYFMVDNGTRLHDA >3074A_2012_HE_AIV41835_1_2012_02_China_Human_Betacoronavirus_1 MFLLPRFILVSCIIGSLGFHNPPTNVVSHVNGDWFLFGDSRSDCNHIGNINPHNYSYMDLNPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCNRSGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQAIAFCKSGS----LVLNNPAYIAPQANSG-IITKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDHSQYYFNKDTGVIYGLNSTETITTGFDLNCHYLVLPSGNYLSISNELLLTVPTKAICFNKRKDFTPVQVVDSRWNNARQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYNSSCFSQQGVFRYDNISSVWPLYPYGRCPTAADINIPDLPICVYDPLPVILLGILLGVAIVIIVVLLLHFMVDNVTRLHDA >5485_2007_HE_AIV41938_1_2007_06_China_Human_Betacoronavirus_1 MFLLPRFILVSCIIGSLGFYNPPTNVVSHVNGDWFLFGDSRSDCNHIGNINPHNYSYMDLNPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCNRSGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVSYVYNGSAQATSFCKSGS----LVLNNPAYIAPQAKSG-IITKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDHSQYYFNKDTGVIYGLNSTETITTGFDLNCHYLVLPSGNYLAISNELLLTVPTKAICFNKRKDFTPVQVVDSRWNNARQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYNSSCFSQQGVFRYDNISSVWPLYPYGRCPTAAYINIPDLPICVYDPLPVILLGILLGVAIVIIVVLLLHFMVDNVTRLHDA >TCG_22_HE_BBM61466_1_2016_12_Japan_Unknown_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDLNPALCGSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQSTALCKSGS----LVLNNPAYIAREANLRDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLNSTETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNARLSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRYDNVSSVWPLYPYGRCPTAANINTPDVPICVYDPLPIILLGILLGVAVIIIVVLLLYFMVDNGTRLHDA >TCG_28_HE_BBM61526_1_2017_12_Japan_Unknown_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDLNPALCGSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQSTALCKSGS----LVLNNPAYIAREANFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLNSTETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNARLSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRYDNVSSVWPLYPYGRCPTAANINTPDVPICVYDPLPIILLGILLVVAVIIIVVLLLYFMVDNGTRLHDA >TCG_19_HE_BBM61436_1_2016_12_Japan_Unknown_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDLNPALCGSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQSTALCKSGS----LVLNNPAYIAREANFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGFNSTETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNARLSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRYDNVSSVWPLYPYGRCPTAANINTPDVPICVYDPLPIILLGILLGAAVIIIVVLLLYFMVDNGTRLHDA >BCOV_China_SWUN_A1_2018_NA_QOV05159_1_2018_11_01_China_Cattle_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFHNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDLNPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQATALCKSGS----LVLNNPAYIAREANVGDYYYKAEADFYLSGCDEYIIPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLNSTETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNARQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRYDNVSSVWPLYPYGRCPTAADINTPDVPICVYDPLPIILLGILLGVAVIIIVVLLLYFMVDNGTRLHDA >3269A_2012_HE_AIV41841_1_2012_06_China_Human_Betacoronavirus_1 MFLLPRFILVSCIIGSLGFYNPPTNVVSHVNGDWFLFGDSRSDCNHIGNINPHNYSYMDLNPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCNRSGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVSYVYNGSAQATSFCKSGS----LVLNNPAYIAPQAKSG-IITKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDHSQYYFNKDTGVIYGLNSTETITTGFDLNCHYLVLPSGNYLAISNELLLTVPTKAICFNKRKYFTPVQVVDSRWNNARQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYNSSCFSQQGVFRYDNISSVWPLYPYGRCPTAAYINIPDLPICVYDPLPVILLGILLGVAIVIIVVLLLHFMVDNVTRLHDA >IWT_5_HE_BBM60986_1_2011_11_Japan_Unknown_Betacoronavirus_1 MFLLPRFVLVSCIIGSLGFDNPPTNVVSHLNGDWFLFGDSRSDCNHVVTTNPRNYSYMDLNPALCGSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCTTSGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQSTALCKSGS----LVLNNPAYIAREANFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLNSTETITTGFDFNCHYLVLPSGNYLAISNELLLTVPTKAICLNKRKDFTPVQVVDSRWNNARLSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYDSPCFSQQGVFRYDNVSSVWPLYPYGRCPTAANINTPDVPICVYDPLPIILLGILLGVAVIIIVVLLLYFMVDNGTRLHDA >HCoV_OC43_Seattle_USA_SC0682_2019_NA_QEG03739_1_2019_USA_Human_Betacoronavirus_1 MFLLSRFILVSCVIGSLGFYNPPTNVVSHVNGDWFLFGDSRSDCNHIVNINPHNYSYMDLNPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCNRSGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVSYVYNGSAQATSFCKSGSKLKNLVLNNPAYIAPQAKSG-IITKVEADFYLSGCDEYIVPLCIFNGKSLSNTKYYDHSQYYFNKDTGVIYGLNSTETITTGFDLNCHYLVLPSGNYLAISNELLLTVPTKAICFNKRKDFTPVQVVDSRWNNARQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYNSSCFSQQGVFRYDNISSVWPLYPYGRCPTAAYINIPDLPICVYDPLPVILLGILLGVAIVIIVVFLLHFMVDNVTRLHDA >OC43_human_USA_913_29_1991_HE_AGT51599_1_1991_03_14_USA_Human_Betacoronavirus_1 MFLLPRFILVSCIIGSLGFYNPPTNVVSHVNGDWFLFGDSRSDCNHIVNINPHNYSYMDLNPALCDSGKISSKAGNSIFRSFHFTDFYNYTGEGQQIIFYEGVNFTPYHAFKCNRSGSNDIWMQNKGLFYTQVYKNMAVYRSLTFVNVPYVYNGSAQATALCKSGS----LVLNNPAYIAPQANFGDYYYKVEADFYLSGCDEYIVPLCIFNGKFLSNTKYYDDSQYYFNKDTGVIYGLNSTETITTGFDLNCHYLVLPSGNYLAISNELLLTVPTKAICFNKRKDFTPVQVVDSRWNNARQSDNMTAVACQPPYCYFRNSTTNYVGVYDINHGDAGFTSILSGLLYNSPCFSQQGVFRYDNVSSVWPLYPYGRCPTAADINIPDLPICVYDPLPVILLGILLGVAIVIIVVLLLHFMVDNVTRLHDA
Reading sequence file /data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10632_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/codeml/fasta/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10632_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1
Found 30 sequences of length 1284
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 4.2%
Found 102 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%100.0%100.0%
Using a window size of 80 with k as 6
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 167 polymorphic sites
**p-Value(s)**
----------
NSS: 6.82e-01 (1000 permutations)
Max Chi^2: 4.10e-02 (1000 permutations)
PHI (Permutation): 4.67e-01 (1000 permutations)
PHI (Normal): 4.36e-01
#NEXUS
[ID: 6606726680]
begin taxa;
dimensions ntax=30;
taxlabels
PHEV_CoV_swine_USA_15TOSU1785_2015_NA_ARC95226_1_2015_08_15_USA_Swine_Betacoronavirus_1
4_17_08_HE_AVZ61118_1_2017_04_USA_Cattle_Betacoronavirus_1
E_AH187_TC_NA_ACT10994_1_2000_01_01_USA_Cattle_Betacoronavirus_1
MY_U236_12_HE_AQN78671_1_2012_04_02_Malaysia_Human_Betacoronavirus_1
TCG_18_HE_BBM61406_1_2016_Japan_Unknown_Betacoronavirus_1
UNKNOWN_FJ425189_NA_ACJ66999_1_1994_01_01_USA_Deer_Betacoronavirus_1
5485_2007_HE_AIV41938_1_2007_06_China_Human_Betacoronavirus_1
3074A_2012_HE_AIV41835_1_2012_02_China_Human_Betacoronavirus_1
3269A_2012_HE_AIV41841_1_2012_06_China_Human_Betacoronavirus_1
BCOV_China_SWUN_A1_2018_NA_QOV05159_1_2018_11_01_China_Cattle_Betacoronavirus_1
IWT_7_HE_BBM61006_1_2012_01_Japan_Unknown_Betacoronavirus_1
OC43_human_USA_913_29_1991_HE_AGT51599_1_1991_03_14_USA_Human_Betacoronavirus_1
IWT_14_HE_BBM61056_1_2015_11_Japan_Unknown_Betacoronavirus_1
HCoV_OC43_UK_London_2011_HE_AMK59676_1_2011_08_20_United_Kingdom_Human_Betacoronavirus_1
IWT_27_HE_BBM61186_1_2017_02_Japan_Unknown_Betacoronavirus_1
IWT_8_HE_BBM61016_1_2012_01_Japan_Unknown_Betacoronavirus_1
4408_HE_ACJ35485_1_1988_Germany_Human_Betacoronavirus_1
5442_2007_HE_AIV41914_1_2007_06_China_Human_Betacoronavirus_1
MDS6_HE_QBP84703_1_NA_NA_Unknown_Betacoronavirus_1
OC43_human_USA_901_33_1990_HE_AGT51470_1_1990_01_16_USA_Human_Betacoronavirus_1
OC43_human_USA_912_10_1991_HE_AGT51480_1_1991_02_07_USA_Human_Betacoronavirus_1
OC43_human_USA_9612_48_1996_HE_AGT51440_1_1996_12_30_USA_Human_Betacoronavirus_1
R_AH65_TC_NA_ABP38271_1_NA_USA_Cattle_Betacoronavirus_1
SHG_5_HE_BBM61236_1_2016_06_Japan_Unknown_Betacoronavirus_1
TCG_19_HE_BBM61436_1_2016_12_Japan_Unknown_Betacoronavirus_1
TCG_22_HE_BBM61466_1_2016_12_Japan_Unknown_Betacoronavirus_1
TCG_28_HE_BBM61526_1_2017_12_Japan_Unknown_Betacoronavirus_1
5472_2007_HE_AIV41865_1_2007_06_China_Human_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC0682_2019_NA_QEG03739_1_2019_USA_Human_Betacoronavirus_1
IWT_5_HE_BBM60986_1_2011_11_Japan_Unknown_Betacoronavirus_1
;
end;
begin trees;
translate
1 PHEV_CoV_swine_USA_15TOSU1785_2015_NA_ARC95226_1_2015_08_15_USA_Swine_Betacoronavirus_1,
2 4_17_08_HE_AVZ61118_1_2017_04_USA_Cattle_Betacoronavirus_1,
3 E_AH187_TC_NA_ACT10994_1_2000_01_01_USA_Cattle_Betacoronavirus_1,
4 MY_U236_12_HE_AQN78671_1_2012_04_02_Malaysia_Human_Betacoronavirus_1,
5 TCG_18_HE_BBM61406_1_2016_Japan_Unknown_Betacoronavirus_1,
6 UNKNOWN_FJ425189_NA_ACJ66999_1_1994_01_01_USA_Deer_Betacoronavirus_1,
7 5485_2007_HE_AIV41938_1_2007_06_China_Human_Betacoronavirus_1,
8 3074A_2012_HE_AIV41835_1_2012_02_China_Human_Betacoronavirus_1,
9 3269A_2012_HE_AIV41841_1_2012_06_China_Human_Betacoronavirus_1,
10 BCOV_China_SWUN_A1_2018_NA_QOV05159_1_2018_11_01_China_Cattle_Betacoronavirus_1,
11 IWT_7_HE_BBM61006_1_2012_01_Japan_Unknown_Betacoronavirus_1,
12 OC43_human_USA_913_29_1991_HE_AGT51599_1_1991_03_14_USA_Human_Betacoronavirus_1,
13 IWT_14_HE_BBM61056_1_2015_11_Japan_Unknown_Betacoronavirus_1,
14 HCoV_OC43_UK_London_2011_HE_AMK59676_1_2011_08_20_United_Kingdom_Human_Betacoronavirus_1,
15 IWT_27_HE_BBM61186_1_2017_02_Japan_Unknown_Betacoronavirus_1,
16 IWT_8_HE_BBM61016_1_2012_01_Japan_Unknown_Betacoronavirus_1,
17 4408_HE_ACJ35485_1_1988_Germany_Human_Betacoronavirus_1,
18 5442_2007_HE_AIV41914_1_2007_06_China_Human_Betacoronavirus_1,
19 MDS6_HE_QBP84703_1_NA_NA_Unknown_Betacoronavirus_1,
20 OC43_human_USA_901_33_1990_HE_AGT51470_1_1990_01_16_USA_Human_Betacoronavirus_1,
21 OC43_human_USA_912_10_1991_HE_AGT51480_1_1991_02_07_USA_Human_Betacoronavirus_1,
22 OC43_human_USA_9612_48_1996_HE_AGT51440_1_1996_12_30_USA_Human_Betacoronavirus_1,
23 R_AH65_TC_NA_ABP38271_1_NA_USA_Cattle_Betacoronavirus_1,
24 SHG_5_HE_BBM61236_1_2016_06_Japan_Unknown_Betacoronavirus_1,
25 TCG_19_HE_BBM61436_1_2016_12_Japan_Unknown_Betacoronavirus_1,
26 TCG_22_HE_BBM61466_1_2016_12_Japan_Unknown_Betacoronavirus_1,
27 TCG_28_HE_BBM61526_1_2017_12_Japan_Unknown_Betacoronavirus_1,
28 5472_2007_HE_AIV41865_1_2007_06_China_Human_Betacoronavirus_1,
29 HCoV_OC43_Seattle_USA_SC0682_2019_NA_QEG03739_1_2019_USA_Human_Betacoronavirus_1,
30 IWT_5_HE_BBM60986_1_2011_11_Japan_Unknown_Betacoronavirus_1
;
[Note: This tree contains information on the topology,
branch lengths (if present), and the probability
of the partition indicated by the branch.]
tree con_50_majrule = (1:1.114676e-01,17:7.917380e-03,((((2:6.928103e-03,((3:3.185430e-03,13:7.184931e-03)0.575:1.741634e-03,(((5:2.911248e-03,25:3.725390e-03)0.893:1.620900e-03,(15:5.405501e-04,27:1.214463e-03)0.999:1.940283e-03)0.621:1.263822e-03,(11:5.144259e-04,16:5.245777e-04)1.000:4.313955e-03,(24:2.814432e-03,26:2.720457e-03)0.994:1.666102e-03,30:2.006099e-03)1.000:3.105214e-03)0.751:1.566417e-03,23:1.914195e-03)0.956:2.534161e-03,6:1.996184e-03)0.918:3.445025e-03,10:1.997379e-02)0.988:5.299878e-03,(((((4:1.305199e-03,29:3.633635e-03)1.000:3.531422e-03,(7:5.211597e-04,18:5.144049e-04,28:1.299146e-03)0.949:1.281873e-03,9:2.766035e-03,19:2.069475e-03)1.000:7.522324e-03,(8:1.981262e-03,14:5.210257e-03)0.999:2.788641e-03,22:2.048397e-03)1.000:1.075031e-02,12:1.221380e-03,21:1.973576e-03)0.995:5.670881e-03,20:1.359385e-02)1.000:3.327230e-02)0.534:2.806497e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:1.114676e-01,17:7.917380e-03,((((2:6.928103e-03,((3:3.185430e-03,13:7.184931e-03):1.741634e-03,(((5:2.911248e-03,25:3.725390e-03):1.620900e-03,(15:5.405501e-04,27:1.214463e-03):1.940283e-03):1.263822e-03,(11:5.144259e-04,16:5.245777e-04):4.313955e-03,(24:2.814432e-03,26:2.720457e-03):1.666102e-03,30:2.006099e-03):3.105214e-03):1.566417e-03,23:1.914195e-03):2.534161e-03,6:1.996184e-03):3.445025e-03,10:1.997379e-02):5.299878e-03,(((((4:1.305199e-03,29:3.633635e-03):3.531422e-03,(7:5.211597e-04,18:5.144049e-04,28:1.299146e-03):1.281873e-03,9:2.766035e-03,19:2.069475e-03):7.522324e-03,(8:1.981262e-03,14:5.210257e-03):2.788641e-03,22:2.048397e-03):1.075031e-02,12:1.221380e-03,21:1.973576e-03):5.670881e-03,20:1.359385e-02):3.327230e-02):2.806497e-03);
end;
Estimated marginal likelihoods for runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
(Use the harmonic mean for Bayes factor comparisons of models)
(Values are saved to the file /data/mrbayes_input.nex.lstat)
Run Arithmetic mean Harmonic mean
--------------------------------------
1 -3616.77 -3646.86
2 -3615.30 -3648.16
--------------------------------------
TOTAL -3615.78 -3647.71
--------------------------------------
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} 0.331660 0.000707 0.280544 0.383553 0.330312 1159.59 1256.49 1.000
r(A<->C){all} 0.075708 0.000363 0.042060 0.115061 0.074120 873.99 875.86 1.000
r(A<->G){all} 0.161260 0.000600 0.111928 0.207197 0.159925 766.34 857.04 1.000
r(A<->T){all} 0.066380 0.000154 0.042655 0.090581 0.065839 928.26 1045.31 1.000
r(C<->G){all} 0.067315 0.000452 0.027251 0.107719 0.065021 692.79 810.31 1.000
r(C<->T){all} 0.519392 0.001192 0.453482 0.587695 0.519718 681.19 704.68 1.000
r(G<->T){all} 0.109944 0.000300 0.075200 0.142639 0.108983 858.05 931.65 1.000
pi(A){all} 0.251118 0.000134 0.229547 0.274709 0.251095 1086.45 1124.60 1.000
pi(C){all} 0.168942 0.000086 0.151095 0.187086 0.168834 1224.40 1262.69 1.000
pi(G){all} 0.185162 0.000108 0.166276 0.207518 0.184713 1103.37 1110.16 1.000
pi(T){all} 0.394778 0.000157 0.369801 0.419085 0.394900 984.53 1148.67 1.000
alpha{1,2} 0.433812 0.038603 0.157430 0.821633 0.387711 1002.14 1046.42 1.000
alpha{3} 1.717336 0.950467 0.454146 3.730477 1.479418 920.60 936.48 1.000
pinvar{all} 0.300085 0.013086 0.061682 0.500544 0.311536 689.57 749.35 1.001
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
CODONML (in paml version 4.9h, March 2018) /data/fasta_checked/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10632_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 = 423
Codon usage in sequences
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 26 26 25 26 25 27 | Ser TCT 11 9 12 9 11 12 | Tyr TAT 27 30 29 30 29 29 | Cys TGT 12 11 11 11 12 12
TTC 2 2 2 2 2 0 | TCC 3 1 1 1 2 1 | TAC 3 5 5 5 3 5 | TGC 2 3 3 3 2 2
Leu TTA 11 9 8 9 10 8 | TCA 5 5 5 5 7 6 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 9 11 11 11 10 10 | TCG 4 4 3 4 4 2 | TAG 0 0 0 0 0 0 | Trp TGG 4 4 4 4 4 4
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 8 9 9 9 8 10 | Pro CCT 11 16 14 16 13 12 | His CAT 10 6 6 6 9 6 | Arg CGT 4 5 5 5 4 5
CTC 3 3 3 3 3 3 | CCC 6 2 3 2 4 5 | CAC 1 1 1 1 1 1 | CGC 1 1 1 1 1 1
CTA 3 4 5 4 4 5 | CCA 3 3 3 3 2 3 | Gln CAA 7 6 6 6 7 6 | CGA 0 0 0 0 0 0
CTG 1 2 2 2 1 2 | CCG 2 2 2 2 2 2 | CAG 5 4 4 4 5 5 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 22 16 15 16 22 15 | Thr ACT 10 14 14 14 10 12 | Asn AAT 28 29 30 29 29 29 | Ser AGT 7 7 7 7 7 8
ATC 4 3 4 3 4 3 | ACC 5 7 7 7 5 8 | AAC 10 6 6 6 8 8 | AGC 5 5 5 5 5 4
ATA 4 5 5 5 4 5 | ACA 4 3 3 3 4 3 | Lys AAA 7 7 7 7 8 7 | Arg AGA 2 2 2 2 2 1
Met ATG 6 6 6 6 6 6 | ACG 4 3 3 3 4 3 | AAG 6 6 6 6 6 6 | AGG 4 4 4 4 4 5
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 23 24 25 24 22 25 | Ala GCT 13 10 10 10 13 11 | Asp GAT 19 17 17 17 18 19 | Gly GGT 17 20 19 20 18 18
GTC 2 2 2 2 1 1 | GCC 2 5 5 5 4 4 | GAC 5 7 7 7 4 5 | GGC 7 7 7 7 8 8
GTA 6 5 5 5 6 5 | GCA 2 4 4 4 2 4 | Glu GAA 3 4 4 4 3 5 | GGA 2 1 1 1 2 1
GTG 3 3 3 3 3 3 | GCG 2 1 1 1 1 1 | GAG 3 3 3 3 3 3 | GGG 1 2 2 2 1 2
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 25 26 25 27 26 27 | Ser TCT 11 11 11 8 11 12 | Tyr TAT 29 29 29 30 30 26 | Cys TGT 12 11 12 12 11 12
TTC 2 2 2 0 1 2 | TCC 2 1 2 2 1 2 | TAC 3 5 3 3 4 6 | TGC 2 3 2 2 3 3
Leu TTA 10 8 10 10 8 10 | TCA 7 5 7 4 5 7 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 10 11 10 10 11 7 | TCG 4 4 4 4 4 3 | TAG 0 0 0 0 0 0 | Trp TGG 4 4 4 4 4 4
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 8 8 8 8 9 9 | Pro CCT 13 12 13 15 12 14 | His CAT 9 6 9 10 6 6 | Arg CGT 4 5 4 3 4 5
CTC 3 3 3 3 2 4 | CCC 4 5 4 3 4 2 | CAC 1 1 1 1 1 1 | CGC 1 1 1 2 2 1
CTA 4 5 4 3 6 3 | CCA 2 3 2 4 4 5 | Gln CAA 7 6 7 7 6 6 | CGA 0 0 0 0 0 0
CTG 1 1 1 2 1 2 | CCG 2 2 2 2 2 0 | CAG 5 5 5 5 5 6 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 22 15 22 18 16 12 | Thr ACT 11 14 10 10 14 12 | Asn AAT 27 28 29 28 29 27 | Ser AGT 7 7 7 6 7 8
ATC 4 4 4 5 3 5 | ACC 5 7 5 5 8 8 | AAC 9 7 8 10 6 8 | AGC 5 5 5 5 5 3
ATA 4 5 4 4 5 7 | ACA 4 2 4 3 3 2 | Lys AAA 8 8 8 7 7 7 | Arg AGA 2 2 2 3 2 1
Met ATG 6 6 6 6 6 6 | ACG 4 3 4 4 2 3 | AAG 6 7 6 6 6 8 | AGG 4 3 4 4 4 4
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 23 23 22 24 24 25 | Ala GCT 12 10 13 13 10 9 | Asp GAT 18 17 18 19 19 16 | Gly GGT 18 20 18 16 20 21
GTC 1 3 1 2 2 5 | GCC 4 5 4 3 5 4 | GAC 4 9 4 4 6 6 | GGC 8 6 7 9 7 5
GTA 6 5 6 7 5 3 | GCA 2 4 2 3 4 6 | Glu GAA 3 4 3 3 4 5 | GGA 2 1 3 1 1 0
GTG 3 3 3 3 3 4 | GCG 1 1 1 2 1 1 | GAG 3 3 3 3 3 4 | GGG 1 2 1 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 25 24 25 25 25 25 | Ser TCT 10 10 11 12 11 11 | Tyr TAT 30 31 28 29 30 30 | Cys TGT 11 12 12 11 12 11
TTC 2 1 3 3 2 2 | TCC 2 2 2 1 2 1 | TAC 4 3 3 5 2 4 | TGC 3 2 2 3 2 3
Leu TTA 8 10 10 8 11 8 | TCA 5 5 5 5 7 5 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 11 10 10 11 10 11 | TCG 4 4 4 3 4 4 | TAG 0 0 0 0 0 0 | Trp TGG 4 4 4 4 4 4
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 9 10 7 9 8 9 | Pro CCT 12 13 12 14 13 14 | His CAT 6 8 9 6 10 6 | Arg CGT 5 4 4 5 4 5
CTC 3 3 3 2 3 3 | CCC 4 5 5 3 4 3 | CAC 1 1 1 1 1 1 | CGC 1 1 1 1 1 1
CTA 5 4 4 5 3 5 | CCA 3 3 3 3 2 3 | Gln CAA 6 7 7 6 7 6 | CGA 0 0 0 0 0 0
CTG 1 1 1 2 1 1 | CCG 2 2 2 2 2 2 | CAG 5 5 5 4 4 5 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 16 19 22 16 22 16 | Thr ACT 14 9 10 14 10 13 | Asn AAT 28 28 28 32 28 29 | Ser AGT 7 7 7 7 7 7
ATC 3 4 4 3 4 4 | ACC 7 5 5 7 5 8 | AAC 7 10 10 4 9 6 | AGC 5 5 5 5 5 4
ATA 5 4 4 5 3 5 | ACA 3 4 4 3 4 3 | Lys AAA 7 7 7 7 8 7 | Arg AGA 2 2 2 2 2 2
Met ATG 6 6 6 6 6 6 | ACG 3 4 4 3 4 3 | AAG 6 6 6 6 6 6 | AGG 4 4 4 3 4 4
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 24 23 21 24 23 24 | Ala GCT 11 13 14 10 13 11 | Asp GAT 18 19 19 17 18 20 | Gly GGT 20 16 17 20 17 19
GTC 2 2 2 2 1 2 | GCC 5 3 3 5 4 4 | GAC 7 5 4 7 4 6 | GGC 7 9 9 7 8 7
GTA 5 6 6 5 7 5 | GCA 4 3 2 4 2 4 | Glu GAA 4 3 3 4 3 4 | GGA 1 2 2 1 2 1
GTG 3 3 3 3 3 3 | GCG 1 2 2 1 1 1 | GAG 3 3 3 3 3 3 | GGG 2 1 1 3 1 2
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 24 25 25 25 24 25 | Ser TCT 11 11 11 11 11 12 | Tyr TAT 29 30 27 29 29 29 | Cys TGT 11 11 12 12 11 11
TTC 2 2 2 2 2 2 | TCC 1 1 3 2 1 1 | TAC 5 4 3 3 5 5 | TGC 3 3 2 2 3 3
Leu TTA 9 8 10 10 9 8 | TCA 5 5 5 7 5 5 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 11 11 10 10 11 11 | TCG 4 4 4 4 4 3 | TAG 0 0 0 0 0 0 | Trp TGG 4 4 4 4 4 4
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 9 9 8 8 9 9 | Pro CCT 14 13 11 13 14 14 | His CAT 6 6 10 9 6 6 | Arg CGT 5 5 4 4 5 5
CTC 3 3 3 3 3 3 | CCC 3 4 6 4 3 3 | CAC 1 1 1 1 1 1 | CGC 1 1 1 1 1 1
CTA 5 5 4 4 5 5 | CCA 3 3 3 2 3 3 | Gln CAA 6 6 7 7 6 6 | CGA 0 0 0 0 0 0
CTG 2 1 1 1 2 2 | CCG 2 2 2 2 2 2 | CAG 4 5 5 5 4 4 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 15 16 21 22 14 15 | Thr ACT 15 13 10 10 14 14 | Asn AAT 28 27 28 29 29 30 | Ser AGT 8 8 7 7 7 7
ATC 4 3 5 4 5 4 | ACC 7 8 5 5 7 7 | AAC 6 7 10 8 7 6 | AGC 5 5 5 5 5 5
ATA 5 5 5 4 5 5 | ACA 3 3 3 4 3 3 | Lys AAA 7 7 7 8 7 7 | Arg AGA 2 2 2 2 2 2
Met ATG 6 6 6 6 6 6 | ACG 3 3 4 4 3 3 | AAG 6 6 6 6 6 6 | AGG 4 4 4 4 5 4
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 24 24 21 22 24 25 | Ala GCT 10 10 14 13 10 10 | Asp GAT 18 18 19 18 17 17 | Gly GGT 20 20 17 18 20 18
GTC 2 2 2 1 2 2 | GCC 5 5 2 4 5 5 | GAC 6 7 4 4 7 7 | GGC 7 7 9 8 7 8
GTA 5 5 6 6 5 5 | GCA 4 4 2 2 4 4 | Glu GAA 4 4 3 3 4 4 | GGA 1 1 2 2 1 1
GTG 3 3 3 3 3 3 | GCG 1 1 2 1 1 1 | GAG 3 3 3 3 3 3 | GGG 2 2 1 1 1 2
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 25 26 24 24 25 26 | Ser TCT 13 10 11 12 13 9 | Tyr TAT 29 29 30 29 30 31 | Cys TGT 11 11 12 11 12 12
TTC 3 0 3 3 2 1 | TCC 1 2 2 1 2 2 | TAC 5 5 3 5 2 3 | TGC 3 3 2 3 2 2
Leu TTA 8 8 10 8 11 10 | TCA 5 6 7 5 7 5 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 11 11 10 11 9 10 | TCG 2 2 4 3 4 4 | TAG 0 0 0 0 0 0 | Trp TGG 4 4 4 4 4 4
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 9 8 8 9 8 9 | Pro CCT 14 12 14 14 12 13 | His CAT 6 6 9 6 9 8 | Arg CGT 5 5 4 5 4 4
CTC 2 4 3 3 3 3 | CCC 3 5 3 3 4 5 | CAC 1 2 1 1 1 1 | CGC 1 1 1 1 1 1
CTA 5 5 4 5 3 4 | CCA 3 3 2 3 2 3 | Gln CAA 6 7 7 6 7 7 | CGA 0 0 0 0 0 0
CTG 2 1 1 2 1 1 | CCG 2 2 2 2 2 2 | CAG 4 4 5 4 5 5 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 16 17 22 16 22 19 | Thr ACT 14 13 10 14 9 9 | Asn AAT 30 30 28 30 28 28 | Ser AGT 7 8 7 7 7 7
ATC 3 3 4 3 4 4 | ACC 7 8 5 7 5 5 | AAC 6 5 9 6 9 10 | AGC 5 4 5 5 5 5
ATA 5 5 4 5 3 4 | ACA 3 3 4 3 4 4 | Lys AAA 7 7 8 7 8 7 | Arg AGA 2 2 2 2 2 2
Met ATG 6 6 6 6 6 6 | ACG 3 3 4 3 5 4 | AAG 6 6 6 6 6 6 | AGG 4 4 4 4 4 4
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 22 23 22 24 23 23 | Ala GCT 11 11 13 10 13 13 | Asp GAT 16 17 17 17 18 20 | Gly GGT 20 20 18 20 17 16
GTC 3 2 1 2 1 2 | GCC 5 6 4 5 4 3 | GAC 8 8 4 7 4 4 | GGC 7 7 8 7 8 9
GTA 5 4 6 5 7 6 | GCA 4 4 2 4 2 3 | Glu GAA 4 4 3 4 3 3 | GGA 1 1 2 1 2 2
GTG 3 4 3 3 3 3 | GCG 1 1 1 1 1 2 | GAG 3 3 3 3 3 3 | GGG 2 1 1 2 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Codon position x base (3x4) table for each sequence.
#1: C102
position 1: T:0.28132 C:0.15603 A:0.30260 G:0.26005
position 2: T:0.31442 C:0.20567 A:0.31678 G:0.16312
position 3: T:0.58629 C:0.14421 A:0.13948 G:0.13002
Average T:0.39401 C:0.16864 A:0.25296 G:0.18440
#2: C144
position 1: T:0.28369 C:0.15366 A:0.29078 G:0.27187
position 2: T:0.30733 C:0.21040 A:0.30969 G:0.17258
position 3: T:0.58865 C:0.14184 A:0.13712 G:0.13239
Average T:0.39322 C:0.16864 A:0.24586 G:0.19228
#3: C137
position 1: T:0.28132 C:0.15366 A:0.29314 G:0.27187
position 2: T:0.30733 C:0.21277 A:0.30969 G:0.17021
position 3: T:0.58629 C:0.14657 A:0.13712 G:0.13002
Average T:0.39165 C:0.17100 A:0.24665 G:0.19070
#4: C143
position 1: T:0.28369 C:0.15366 A:0.29078 G:0.27187
position 2: T:0.30733 C:0.21040 A:0.30969 G:0.17258
position 3: T:0.58865 C:0.14184 A:0.13712 G:0.13239
Average T:0.39322 C:0.16864 A:0.24586 G:0.19228
#5: C35
position 1: T:0.28605 C:0.15366 A:0.30260 G:0.25768
position 2: T:0.30969 C:0.20804 A:0.31442 G:0.16785
position 3: T:0.59102 C:0.13475 A:0.14421 G:0.13002
Average T:0.39559 C:0.16548 A:0.25374 G:0.18519
#6: C27
position 1: T:0.27896 C:0.15839 A:0.29078 G:0.27187
position 2: T:0.30260 C:0.21040 A:0.31678 G:0.17021
position 3: T:0.59102 C:0.13948 A:0.13948 G:0.13002
Average T:0.39086 C:0.16942 A:0.24901 G:0.19070
#7: C158
position 1: T:0.28605 C:0.15366 A:0.30260 G:0.25768
position 2: T:0.31206 C:0.20804 A:0.31206 G:0.16785
position 3: T:0.58865 C:0.13712 A:0.14421 G:0.13002
Average T:0.39559 C:0.16627 A:0.25296 G:0.18519
#8: C124
position 1: T:0.28369 C:0.15130 A:0.29078 G:0.27423
position 2: T:0.30260 C:0.21040 A:0.31915 G:0.16785
position 3: T:0.57210 C:0.15839 A:0.13712 G:0.13239
Average T:0.38613 C:0.17336 A:0.24901 G:0.19149
#9: C37
position 1: T:0.28605 C:0.15366 A:0.30260 G:0.25768
position 2: T:0.30969 C:0.20804 A:0.31442 G:0.16785
position 3: T:0.59102 C:0.13239 A:0.14657 G:0.13002
Average T:0.39559 C:0.16470 A:0.25453 G:0.18519
#10: C192
position 1: T:0.27423 C:0.16312 A:0.29314 G:0.26950
position 2: T:0.31206 C:0.20095 A:0.32151 G:0.16548
position 3: T:0.58392 C:0.13948 A:0.13948 G:0.13712
Average T:0.39007 C:0.16785 A:0.25138 G:0.19070
#11: C28
position 1: T:0.28132 C:0.15366 A:0.29078 G:0.27423
position 2: T:0.30260 C:0.21277 A:0.31206 G:0.17258
position 3: T:0.58629 C:0.14184 A:0.14184 G:0.13002
Average T:0.39007 C:0.16942 A:0.24823 G:0.19228
#12: C232
position 1: T:0.28605 C:0.15366 A:0.28605 G:0.27423
position 2: T:0.30969 C:0.21277 A:0.31206 G:0.16548
position 3: T:0.56974 C:0.15366 A:0.14657 G:0.13002
Average T:0.38849 C:0.17336 A:0.24823 G:0.18991
#13: C77
position 1: T:0.28132 C:0.15130 A:0.29078 G:0.27660
position 2: T:0.30260 C:0.21277 A:0.31206 G:0.17258
position 3: T:0.58156 C:0.14894 A:0.13712 G:0.13239
Average T:0.38849 C:0.17100 A:0.24665 G:0.19385
#14: C200
position 1: T:0.27896 C:0.16076 A:0.29314 G:0.26714
position 2: T:0.30733 C:0.20567 A:0.32151 G:0.16548
position 3: T:0.58156 C:0.14421 A:0.14184 G:0.13239
Average T:0.38928 C:0.17021 A:0.25217 G:0.18834
#15: C212
position 1: T:0.28132 C:0.15366 A:0.30260 G:0.26241
position 2: T:0.30969 C:0.20804 A:0.31442 G:0.16785
position 3: T:0.58156 C:0.14657 A:0.13948 G:0.13239
Average T:0.39086 C:0.16942 A:0.25217 G:0.18755
#16: C253
position 1: T:0.28369 C:0.15130 A:0.29078 G:0.27423
position 2: T:0.30496 C:0.21277 A:0.30969 G:0.17258
position 3: T:0.59338 C:0.13948 A:0.13712 G:0.13002
Average T:0.39401 C:0.16785 A:0.24586 G:0.19228
#17: C165
position 1: T:0.28842 C:0.15130 A:0.30024 G:0.26005
position 2: T:0.31206 C:0.20804 A:0.31442 G:0.16548
position 3: T:0.59338 C:0.13475 A:0.14421 G:0.12766
Average T:0.39795 C:0.16470 A:0.25296 G:0.18440
#18: C291
position 1: T:0.28132 C:0.15366 A:0.29078 G:0.27423
position 2: T:0.30496 C:0.21277 A:0.31442 G:0.16785
position 3: T:0.59102 C:0.13948 A:0.13712 G:0.13239
Average T:0.39243 C:0.16864 A:0.24744 G:0.19149
#19: C242
position 1: T:0.28132 C:0.15366 A:0.29314 G:0.27187
position 2: T:0.30496 C:0.21513 A:0.30496 G:0.17494
position 3: T:0.58392 C:0.14421 A:0.13948 G:0.13239
Average T:0.39007 C:0.17100 A:0.24586 G:0.19307
#20: C237
position 1: T:0.28132 C:0.15366 A:0.29078 G:0.27423
position 2: T:0.30260 C:0.21277 A:0.30969 G:0.17494
position 3: T:0.58156 C:0.14894 A:0.13712 G:0.13239
Average T:0.38849 C:0.17179 A:0.24586 G:0.19385
#21: C19
position 1: T:0.27896 C:0.15839 A:0.30260 G:0.26005
position 2: T:0.31206 C:0.20567 A:0.31442 G:0.16785
position 3: T:0.57920 C:0.14894 A:0.13948 G:0.13239
Average T:0.39007 C:0.17100 A:0.25217 G:0.18676
#22: C40
position 1: T:0.28605 C:0.15366 A:0.30260 G:0.25768
position 2: T:0.30969 C:0.20804 A:0.31442 G:0.16785
position 3: T:0.59102 C:0.13475 A:0.14421 G:0.13002
Average T:0.39559 C:0.16548 A:0.25374 G:0.18519
#23: C258
position 1: T:0.28132 C:0.15366 A:0.29551 G:0.26950
position 2: T:0.30496 C:0.21277 A:0.30969 G:0.17258
position 3: T:0.57683 C:0.15130 A:0.13948 G:0.13239
Average T:0.38771 C:0.17258 A:0.24823 G:0.19149
#24: C263
position 1: T:0.28132 C:0.15366 A:0.29314 G:0.27187
position 2: T:0.30733 C:0.21277 A:0.30969 G:0.17021
position 3: T:0.58392 C:0.14894 A:0.13712 G:0.13002
Average T:0.39086 C:0.17179 A:0.24665 G:0.19070
#25: C254
position 1: T:0.28369 C:0.15130 A:0.29314 G:0.27187
position 2: T:0.30260 C:0.21513 A:0.30969 G:0.17258
position 3: T:0.58629 C:0.14894 A:0.13712 G:0.12766
Average T:0.39086 C:0.17179 A:0.24665 G:0.19070
#26: C54
position 1: T:0.27660 C:0.15603 A:0.29314 G:0.27423
position 2: T:0.30024 C:0.21513 A:0.31442 G:0.17021
position 3: T:0.58156 C:0.15366 A:0.13948 G:0.12530
Average T:0.38613 C:0.17494 A:0.24901 G:0.18991
#27: C22
position 1: T:0.28842 C:0.15366 A:0.30260 G:0.25532
position 2: T:0.30969 C:0.20804 A:0.31442 G:0.16785
position 3: T:0.58865 C:0.13712 A:0.14421 G:0.13002
Average T:0.39559 C:0.16627 A:0.25374 G:0.18440
#28: C142
position 1: T:0.28132 C:0.15366 A:0.29314 G:0.27187
position 2: T:0.30496 C:0.21277 A:0.30969 G:0.17258
position 3: T:0.58629 C:0.14657 A:0.13712 G:0.13002
Average T:0.39086 C:0.17100 A:0.24665 G:0.19149
#29: C83
position 1: T:0.29078 C:0.14894 A:0.30024 G:0.26005
position 2: T:0.30969 C:0.21040 A:0.31442 G:0.16548
position 3: T:0.59102 C:0.13475 A:0.14421 G:0.13002
Average T:0.39716 C:0.16470 A:0.25296 G:0.18519
#30: C205
position 1: T:0.28132 C:0.15839 A:0.29314 G:0.26714
position 2: T:0.30969 C:0.20331 A:0.32151 G:0.16548
position 3: T:0.58392 C:0.14184 A:0.14184 G:0.13239
Average T:0.39165 C:0.16785 A:0.25217 G:0.18834
Sums of codon usage counts
------------------------------------------------------------------------------
Phe F TTT 758 | Ser S TCT 328 | Tyr Y TAT 876 | Cys C TGT 345
TTC 56 | TCC 48 | TAC 119 | TGC 76
Leu L TTA 275 | TCA 167 | *** * TAA 0 | *** * TGA 0
TTG 310 | TCG 109 | TAG 0 | Trp W TGG 120
------------------------------------------------------------------------------
Leu L CTT 258 | Pro P CCT 397 | His H CAT 221 | Arg R CGT 135
CTC 89 | CCC 114 | CAC 31 | CGC 32
CTA 130 | CCA 87 | Gln Q CAA 194 | CGA 0
CTG 42 | CCG 58 | CAG 140 | CGG 30
------------------------------------------------------------------------------
Ile I ATT 537 | Thr T ACT 360 | Asn N AAT 860 | Ser S AGT 214
ATC 114 | ACC 190 | AAC 227 | AGC 145
ATA 138 | ACA 99 | Lys K AAA 218 | Arg R AGA 59
Met M ATG 180 | ACG 103 | AAG 183 | AGG 120
------------------------------------------------------------------------------
Val V GTT 700 | Ala A GCT 344 | Asp D GAT 537 | Gly G GGT 558
GTC 57 | GCC 127 | GAC 171 | GGC 225
GTA 163 | GCA 99 | Glu E GAA 109 | GGA 42
GTG 92 | GCG 36 | GAG 91 | GGG 47
------------------------------------------------------------------------------
Codon position x base (3x4) table, overall
position 1: T:0.28266 C:0.15429 A:0.29527 G:0.26777
position 2: T:0.30725 C:0.21009 A:0.31340 G:0.16927
position 3: T:0.58534 C:0.14350 A:0.14027 G:0.13089
Average T:0.39175 C:0.16929 A:0.24965 G:0.18931
Model 1: NearlyNeutral (2 categories)
TREE # 1: (12, 6, ((((11, ((13, 8), (((16, 25), (3, 24)), (4, 2), (19, 23), 28)), 20), 18), 26), (((((17, 29), (22, 5, 9), 27, 7), (21, 1), 15), 30, 14), 10))); MP score: 311
lnL(ntime: 49 np: 52): -3473.016663 +0.000000
31..12 31..6 31..32 32..33 33..34 34..35 35..11 35..36 36..37 37..13 37..8 36..38 38..39 39..40 40..16 40..25 39..41 41..3 41..24 38..42 42..4 42..2 38..43 43..19 43..23 38..28 35..20 34..18 33..26 32..44 44..45 45..46 46..47 47..48 48..17 48..29 47..49 49..22 49..5 49..9 47..27 47..7 46..50 50..21 50..1 46..15 45..30 45..14 44..10
0.369154 0.025716 0.003440 0.015126 0.010370 0.006591 0.023026 0.003595 0.002857 0.008690 0.022153 0.009024 0.002557 0.002572 0.007708 0.010236 0.005108 0.000004 0.002544 0.012885 0.000004 0.000004 0.005162 0.007751 0.007681 0.005113 0.005357 0.006044 0.065613 0.109354 0.018709 0.034263 0.023350 0.010275 0.002560 0.010306 0.002554 0.000004 0.000004 0.002561 0.007684 0.005118 0.007725 0.005003 0.015460 0.005074 0.002511 0.005159 0.042407 2.554515 0.890443 0.065119
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.956165
(12: 0.369154, 6: 0.025716, ((((11: 0.023026, ((13: 0.008690, 8: 0.022153): 0.002857, (((16: 0.007708, 25: 0.010236): 0.002572, (3: 0.000004, 24: 0.002544): 0.005108): 0.002557, (4: 0.000004, 2: 0.000004): 0.012885, (19: 0.007751, 23: 0.007681): 0.005162, 28: 0.005113): 0.009024): 0.003595, 20: 0.005357): 0.006591, 18: 0.006044): 0.010370, 26: 0.065613): 0.015126, (((((17: 0.002560, 29: 0.010306): 0.010275, (22: 0.000004, 5: 0.000004, 9: 0.002561): 0.002554, 27: 0.007684, 7: 0.005118): 0.023350, (21: 0.005003, 1: 0.015460): 0.007725, 15: 0.005074): 0.034263, 30: 0.002511, 14: 0.005159): 0.018709, 10: 0.042407): 0.109354): 0.003440);
(C232: 0.369154, C27: 0.025716, ((((C28: 0.023026, ((C77: 0.008690, C124: 0.022153): 0.002857, (((C253: 0.007708, C254: 0.010236): 0.002572, (C137: 0.000004, C263: 0.002544): 0.005108): 0.002557, (C143: 0.000004, C144: 0.000004): 0.012885, (C242: 0.007751, C258: 0.007681): 0.005162, C142: 0.005113): 0.009024): 0.003595, C237: 0.005357): 0.006591, C291: 0.006044): 0.010370, C54: 0.065613): 0.015126, (((((C165: 0.002560, C83: 0.010306): 0.010275, (C40: 0.000004, C35: 0.000004, C37: 0.002561): 0.002554, C22: 0.007684, C158: 0.005118): 0.023350, (C19: 0.005003, C102: 0.015460): 0.007725, C212: 0.005074): 0.034263, C205: 0.002511, C200: 0.005159): 0.018709, C192: 0.042407): 0.109354): 0.003440);
Detailed output identifying parameters
kappa (ts/tv) = 2.55451
MLEs of dN/dS (w) for site classes (K=2)
p: 0.89044 0.10956
w: 0.06512 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.369 1065.2 203.8 0.1675 0.0684 0.4085 72.9 83.3
31..6 0.026 1065.2 203.8 0.1675 0.0048 0.0285 5.1 5.8
31..32 0.003 1065.2 203.8 0.1675 0.0006 0.0038 0.7 0.8
32..33 0.015 1065.2 203.8 0.1675 0.0028 0.0167 3.0 3.4
33..34 0.010 1065.2 203.8 0.1675 0.0019 0.0115 2.0 2.3
34..35 0.007 1065.2 203.8 0.1675 0.0012 0.0073 1.3 1.5
35..11 0.023 1065.2 203.8 0.1675 0.0043 0.0255 4.5 5.2
35..36 0.004 1065.2 203.8 0.1675 0.0007 0.0040 0.7 0.8
36..37 0.003 1065.2 203.8 0.1675 0.0005 0.0032 0.6 0.6
37..13 0.009 1065.2 203.8 0.1675 0.0016 0.0096 1.7 2.0
37..8 0.022 1065.2 203.8 0.1675 0.0041 0.0245 4.4 5.0
36..38 0.009 1065.2 203.8 0.1675 0.0017 0.0100 1.8 2.0
38..39 0.003 1065.2 203.8 0.1675 0.0005 0.0028 0.5 0.6
39..40 0.003 1065.2 203.8 0.1675 0.0005 0.0028 0.5 0.6
40..16 0.008 1065.2 203.8 0.1675 0.0014 0.0085 1.5 1.7
40..25 0.010 1065.2 203.8 0.1675 0.0019 0.0113 2.0 2.3
39..41 0.005 1065.2 203.8 0.1675 0.0009 0.0057 1.0 1.2
41..3 0.000 1065.2 203.8 0.1675 0.0000 0.0000 0.0 0.0
41..24 0.003 1065.2 203.8 0.1675 0.0005 0.0028 0.5 0.6
38..42 0.013 1065.2 203.8 0.1675 0.0024 0.0143 2.5 2.9
42..4 0.000 1065.2 203.8 0.1675 0.0000 0.0000 0.0 0.0
42..2 0.000 1065.2 203.8 0.1675 0.0000 0.0000 0.0 0.0
38..43 0.005 1065.2 203.8 0.1675 0.0010 0.0057 1.0 1.2
43..19 0.008 1065.2 203.8 0.1675 0.0014 0.0086 1.5 1.7
43..23 0.008 1065.2 203.8 0.1675 0.0014 0.0085 1.5 1.7
38..28 0.005 1065.2 203.8 0.1675 0.0009 0.0057 1.0 1.2
35..20 0.005 1065.2 203.8 0.1675 0.0010 0.0059 1.1 1.2
34..18 0.006 1065.2 203.8 0.1675 0.0011 0.0067 1.2 1.4
33..26 0.066 1065.2 203.8 0.1675 0.0122 0.0726 13.0 14.8
32..44 0.109 1065.2 203.8 0.1675 0.0203 0.1210 21.6 24.7
44..45 0.019 1065.2 203.8 0.1675 0.0035 0.0207 3.7 4.2
45..46 0.034 1065.2 203.8 0.1675 0.0064 0.0379 6.8 7.7
46..47 0.023 1065.2 203.8 0.1675 0.0043 0.0258 4.6 5.3
47..48 0.010 1065.2 203.8 0.1675 0.0019 0.0114 2.0 2.3
48..17 0.003 1065.2 203.8 0.1675 0.0005 0.0028 0.5 0.6
48..29 0.010 1065.2 203.8 0.1675 0.0019 0.0114 2.0 2.3
47..49 0.003 1065.2 203.8 0.1675 0.0005 0.0028 0.5 0.6
49..22 0.000 1065.2 203.8 0.1675 0.0000 0.0000 0.0 0.0
49..5 0.000 1065.2 203.8 0.1675 0.0000 0.0000 0.0 0.0
49..9 0.003 1065.2 203.8 0.1675 0.0005 0.0028 0.5 0.6
47..27 0.008 1065.2 203.8 0.1675 0.0014 0.0085 1.5 1.7
47..7 0.005 1065.2 203.8 0.1675 0.0009 0.0057 1.0 1.2
46..50 0.008 1065.2 203.8 0.1675 0.0014 0.0085 1.5 1.7
50..21 0.005 1065.2 203.8 0.1675 0.0009 0.0055 1.0 1.1
50..1 0.015 1065.2 203.8 0.1675 0.0029 0.0171 3.1 3.5
46..15 0.005 1065.2 203.8 0.1675 0.0009 0.0056 1.0 1.1
45..30 0.003 1065.2 203.8 0.1675 0.0005 0.0028 0.5 0.6
45..14 0.005 1065.2 203.8 0.1675 0.0010 0.0057 1.0 1.2
44..10 0.042 1065.2 203.8 0.1675 0.0079 0.0469 8.4 9.6
Time used: 6:20
Model 2: PositiveSelection (3 categories)
TREE # 1: (12, 6, ((((11, ((13, 8), (((16, 25), (3, 24)), (4, 2), (19, 23), 28)), 20), 18), 26), (((((17, 29), (22, 5, 9), 27, 7), (21, 1), 15), 30, 14), 10))); MP score: 311
lnL(ntime: 49 np: 54): -3473.016663 +0.000000
31..12 31..6 31..32 32..33 33..34 34..35 35..11 35..36 36..37 37..13 37..8 36..38 38..39 39..40 40..16 40..25 39..41 41..3 41..24 38..42 42..4 42..2 38..43 43..19 43..23 38..28 35..20 34..18 33..26 32..44 44..45 45..46 46..47 47..48 48..17 48..29 47..49 49..22 49..5 49..9 47..27 47..7 46..50 50..21 50..1 46..15 45..30 45..14 44..10
0.369154 0.025716 0.003440 0.015126 0.010370 0.006591 0.023026 0.003595 0.002857 0.008690 0.022153 0.009024 0.002557 0.002572 0.007708 0.010236 0.005107 0.000004 0.002544 0.012885 0.000004 0.000004 0.005162 0.007751 0.007681 0.005113 0.005357 0.006044 0.065613 0.109354 0.018709 0.034263 0.023350 0.010275 0.002560 0.010306 0.002554 0.000004 0.000004 0.002561 0.007684 0.005118 0.007725 0.005003 0.015460 0.005074 0.002511 0.005160 0.042407 2.554516 0.890443 0.048733 0.065119 1.000000
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.956165
(12: 0.369154, 6: 0.025716, ((((11: 0.023026, ((13: 0.008690, 8: 0.022153): 0.002857, (((16: 0.007708, 25: 0.010236): 0.002572, (3: 0.000004, 24: 0.002544): 0.005107): 0.002557, (4: 0.000004, 2: 0.000004): 0.012885, (19: 0.007751, 23: 0.007681): 0.005162, 28: 0.005113): 0.009024): 0.003595, 20: 0.005357): 0.006591, 18: 0.006044): 0.010370, 26: 0.065613): 0.015126, (((((17: 0.002560, 29: 0.010306): 0.010275, (22: 0.000004, 5: 0.000004, 9: 0.002561): 0.002554, 27: 0.007684, 7: 0.005118): 0.023350, (21: 0.005003, 1: 0.015460): 0.007725, 15: 0.005074): 0.034263, 30: 0.002511, 14: 0.005160): 0.018709, 10: 0.042407): 0.109354): 0.003440);
(C232: 0.369154, C27: 0.025716, ((((C28: 0.023026, ((C77: 0.008690, C124: 0.022153): 0.002857, (((C253: 0.007708, C254: 0.010236): 0.002572, (C137: 0.000004, C263: 0.002544): 0.005107): 0.002557, (C143: 0.000004, C144: 0.000004): 0.012885, (C242: 0.007751, C258: 0.007681): 0.005162, C142: 0.005113): 0.009024): 0.003595, C237: 0.005357): 0.006591, C291: 0.006044): 0.010370, C54: 0.065613): 0.015126, (((((C165: 0.002560, C83: 0.010306): 0.010275, (C40: 0.000004, C35: 0.000004, C37: 0.002561): 0.002554, C22: 0.007684, C158: 0.005118): 0.023350, (C19: 0.005003, C102: 0.015460): 0.007725, C212: 0.005074): 0.034263, C205: 0.002511, C200: 0.005160): 0.018709, C192: 0.042407): 0.109354): 0.003440);
Detailed output identifying parameters
kappa (ts/tv) = 2.55452
MLEs of dN/dS (w) for site classes (K=3)
p: 0.89044 0.04873 0.06082
w: 0.06512 1.00000 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.369 1065.2 203.8 0.1675 0.0684 0.4085 72.9 83.3
31..6 0.026 1065.2 203.8 0.1675 0.0048 0.0285 5.1 5.8
31..32 0.003 1065.2 203.8 0.1675 0.0006 0.0038 0.7 0.8
32..33 0.015 1065.2 203.8 0.1675 0.0028 0.0167 3.0 3.4
33..34 0.010 1065.2 203.8 0.1675 0.0019 0.0115 2.0 2.3
34..35 0.007 1065.2 203.8 0.1675 0.0012 0.0073 1.3 1.5
35..11 0.023 1065.2 203.8 0.1675 0.0043 0.0255 4.5 5.2
35..36 0.004 1065.2 203.8 0.1675 0.0007 0.0040 0.7 0.8
36..37 0.003 1065.2 203.8 0.1675 0.0005 0.0032 0.6 0.6
37..13 0.009 1065.2 203.8 0.1675 0.0016 0.0096 1.7 2.0
37..8 0.022 1065.2 203.8 0.1675 0.0041 0.0245 4.4 5.0
36..38 0.009 1065.2 203.8 0.1675 0.0017 0.0100 1.8 2.0
38..39 0.003 1065.2 203.8 0.1675 0.0005 0.0028 0.5 0.6
39..40 0.003 1065.2 203.8 0.1675 0.0005 0.0028 0.5 0.6
40..16 0.008 1065.2 203.8 0.1675 0.0014 0.0085 1.5 1.7
40..25 0.010 1065.2 203.8 0.1675 0.0019 0.0113 2.0 2.3
39..41 0.005 1065.2 203.8 0.1675 0.0009 0.0057 1.0 1.2
41..3 0.000 1065.2 203.8 0.1675 0.0000 0.0000 0.0 0.0
41..24 0.003 1065.2 203.8 0.1675 0.0005 0.0028 0.5 0.6
38..42 0.013 1065.2 203.8 0.1675 0.0024 0.0143 2.5 2.9
42..4 0.000 1065.2 203.8 0.1675 0.0000 0.0000 0.0 0.0
42..2 0.000 1065.2 203.8 0.1675 0.0000 0.0000 0.0 0.0
38..43 0.005 1065.2 203.8 0.1675 0.0010 0.0057 1.0 1.2
43..19 0.008 1065.2 203.8 0.1675 0.0014 0.0086 1.5 1.7
43..23 0.008 1065.2 203.8 0.1675 0.0014 0.0085 1.5 1.7
38..28 0.005 1065.2 203.8 0.1675 0.0009 0.0057 1.0 1.2
35..20 0.005 1065.2 203.8 0.1675 0.0010 0.0059 1.1 1.2
34..18 0.006 1065.2 203.8 0.1675 0.0011 0.0067 1.2 1.4
33..26 0.066 1065.2 203.8 0.1675 0.0122 0.0726 13.0 14.8
32..44 0.109 1065.2 203.8 0.1675 0.0203 0.1210 21.6 24.7
44..45 0.019 1065.2 203.8 0.1675 0.0035 0.0207 3.7 4.2
45..46 0.034 1065.2 203.8 0.1675 0.0064 0.0379 6.8 7.7
46..47 0.023 1065.2 203.8 0.1675 0.0043 0.0258 4.6 5.3
47..48 0.010 1065.2 203.8 0.1675 0.0019 0.0114 2.0 2.3
48..17 0.003 1065.2 203.8 0.1675 0.0005 0.0028 0.5 0.6
48..29 0.010 1065.2 203.8 0.1675 0.0019 0.0114 2.0 2.3
47..49 0.003 1065.2 203.8 0.1675 0.0005 0.0028 0.5 0.6
49..22 0.000 1065.2 203.8 0.1675 0.0000 0.0000 0.0 0.0
49..5 0.000 1065.2 203.8 0.1675 0.0000 0.0000 0.0 0.0
49..9 0.003 1065.2 203.8 0.1675 0.0005 0.0028 0.5 0.6
47..27 0.008 1065.2 203.8 0.1675 0.0014 0.0085 1.5 1.7
47..7 0.005 1065.2 203.8 0.1675 0.0009 0.0057 1.0 1.2
46..50 0.008 1065.2 203.8 0.1675 0.0014 0.0085 1.5 1.7
50..21 0.005 1065.2 203.8 0.1675 0.0009 0.0055 1.0 1.1
50..1 0.015 1065.2 203.8 0.1675 0.0029 0.0171 3.1 3.5
46..15 0.005 1065.2 203.8 0.1675 0.0009 0.0056 1.0 1.1
45..30 0.003 1065.2 203.8 0.1675 0.0005 0.0028 0.5 0.6
45..14 0.005 1065.2 203.8 0.1675 0.0010 0.0057 1.0 1.2
44..10 0.042 1065.2 203.8 0.1675 0.0079 0.0469 8.4 9.6
Naive Empirical Bayes (NEB) analysis
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: C102)
Pr(w>1) post mean +- SE for w
20 H 0.648 1.394 +- 0.424
159 T 0.502 1.298 +- 0.398
181 S 0.546 1.319 +- 0.377
381 L 0.502 1.297 +- 0.392
The grid (see ternary graph for p0-p1)
w0: 0.050 0.150 0.250 0.350 0.450 0.550 0.650 0.750 0.850 0.950
w2: 1.500 2.500 3.500 4.500 5.500 6.500 7.500 8.500 9.500 10.500
Posterior on the grid
w0: 1.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
w2: 0.927 0.061 0.009 0.002 0.000 0.000 0.000 0.000 0.000 0.000
Posterior for p0-p1 (see the ternary graph) (YWN2015, fig. 1)
0.000
0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.588
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 0.001 0.375 0.036
sum of density on p0-p1 = 1.000000
Time used: 14:18
Model 7: beta (10 categories)
TREE # 1: (12, 6, ((((11, ((13, 8), (((16, 25), (3, 24)), (4, 2), (19, 23), 28)), 20), 18), 26), (((((17, 29), (22, 5, 9), 27, 7), (21, 1), 15), 30, 14), 10))); MP score: 311
check convergence..
lnL(ntime: 49 np: 52): -3473.996454 +0.000000
31..12 31..6 31..32 32..33 33..34 34..35 35..11 35..36 36..37 37..13 37..8 36..38 38..39 39..40 40..16 40..25 39..41 41..3 41..24 38..42 42..4 42..2 38..43 43..19 43..23 38..28 35..20 34..18 33..26 32..44 44..45 45..46 46..47 47..48 48..17 48..29 47..49 49..22 49..5 49..9 47..27 47..7 46..50 50..21 50..1 46..15 45..30 45..14 44..10
0.363487 0.024942 0.004698 0.014687 0.010339 0.006596 0.023091 0.003598 0.002847 0.008698 0.022165 0.009049 0.002559 0.002578 0.007713 0.010247 0.005112 0.000004 0.002545 0.012880 0.000004 0.000004 0.005167 0.007748 0.007671 0.005117 0.005349 0.006060 0.065501 0.108846 0.018032 0.033975 0.023254 0.010235 0.002560 0.010260 0.002547 0.000004 0.000004 0.002554 0.007657 0.005101 0.007706 0.004985 0.015393 0.005061 0.002518 0.005135 0.042782 2.503688 0.214649 1.144757
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.949068
(12: 0.363487, 6: 0.024942, ((((11: 0.023091, ((13: 0.008698, 8: 0.022165): 0.002847, (((16: 0.007713, 25: 0.010247): 0.002578, (3: 0.000004, 24: 0.002545): 0.005112): 0.002559, (4: 0.000004, 2: 0.000004): 0.012880, (19: 0.007748, 23: 0.007671): 0.005167, 28: 0.005117): 0.009049): 0.003598, 20: 0.005349): 0.006596, 18: 0.006060): 0.010339, 26: 0.065501): 0.014687, (((((17: 0.002560, 29: 0.010260): 0.010235, (22: 0.000004, 5: 0.000004, 9: 0.002554): 0.002547, 27: 0.007657, 7: 0.005101): 0.023254, (21: 0.004985, 1: 0.015393): 0.007706, 15: 0.005061): 0.033975, 30: 0.002518, 14: 0.005135): 0.018032, 10: 0.042782): 0.108846): 0.004698);
(C232: 0.363487, C27: 0.024942, ((((C28: 0.023091, ((C77: 0.008698, C124: 0.022165): 0.002847, (((C253: 0.007713, C254: 0.010247): 0.002578, (C137: 0.000004, C263: 0.002545): 0.005112): 0.002559, (C143: 0.000004, C144: 0.000004): 0.012880, (C242: 0.007748, C258: 0.007671): 0.005167, C142: 0.005117): 0.009049): 0.003598, C237: 0.005349): 0.006596, C291: 0.006060): 0.010339, C54: 0.065501): 0.014687, (((((C165: 0.002560, C83: 0.010260): 0.010235, (C40: 0.000004, C35: 0.000004, C37: 0.002554): 0.002547, C22: 0.007657, C158: 0.005101): 0.023254, (C19: 0.004985, C102: 0.015393): 0.007706, C212: 0.005061): 0.033975, C205: 0.002518, C200: 0.005135): 0.018032, C192: 0.042782): 0.108846): 0.004698);
Detailed output identifying parameters
kappa (ts/tv) = 2.50369
Parameters in M7 (beta):
p = 0.21465 q = 1.14476
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 0.00012 0.00130 0.00622 0.02010 0.05139 0.11277 0.22282 0.41004 0.72817
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.363 1066.0 203.0 0.1553 0.0648 0.4172 69.1 84.7
31..6 0.025 1066.0 203.0 0.1553 0.0044 0.0286 4.7 5.8
31..32 0.005 1066.0 203.0 0.1553 0.0008 0.0054 0.9 1.1
32..33 0.015 1066.0 203.0 0.1553 0.0026 0.0169 2.8 3.4
33..34 0.010 1066.0 203.0 0.1553 0.0018 0.0119 2.0 2.4
34..35 0.007 1066.0 203.0 0.1553 0.0012 0.0076 1.3 1.5
35..11 0.023 1066.0 203.0 0.1553 0.0041 0.0265 4.4 5.4
35..36 0.004 1066.0 203.0 0.1553 0.0006 0.0041 0.7 0.8
36..37 0.003 1066.0 203.0 0.1553 0.0005 0.0033 0.5 0.7
37..13 0.009 1066.0 203.0 0.1553 0.0016 0.0100 1.7 2.0
37..8 0.022 1066.0 203.0 0.1553 0.0040 0.0254 4.2 5.2
36..38 0.009 1066.0 203.0 0.1553 0.0016 0.0104 1.7 2.1
38..39 0.003 1066.0 203.0 0.1553 0.0005 0.0029 0.5 0.6
39..40 0.003 1066.0 203.0 0.1553 0.0005 0.0030 0.5 0.6
40..16 0.008 1066.0 203.0 0.1553 0.0014 0.0089 1.5 1.8
40..25 0.010 1066.0 203.0 0.1553 0.0018 0.0118 1.9 2.4
39..41 0.005 1066.0 203.0 0.1553 0.0009 0.0059 1.0 1.2
41..3 0.000 1066.0 203.0 0.1553 0.0000 0.0000 0.0 0.0
41..24 0.003 1066.0 203.0 0.1553 0.0005 0.0029 0.5 0.6
38..42 0.013 1066.0 203.0 0.1553 0.0023 0.0148 2.4 3.0
42..4 0.000 1066.0 203.0 0.1553 0.0000 0.0000 0.0 0.0
42..2 0.000 1066.0 203.0 0.1553 0.0000 0.0000 0.0 0.0
38..43 0.005 1066.0 203.0 0.1553 0.0009 0.0059 1.0 1.2
43..19 0.008 1066.0 203.0 0.1553 0.0014 0.0089 1.5 1.8
43..23 0.008 1066.0 203.0 0.1553 0.0014 0.0088 1.5 1.8
38..28 0.005 1066.0 203.0 0.1553 0.0009 0.0059 1.0 1.2
35..20 0.005 1066.0 203.0 0.1553 0.0010 0.0061 1.0 1.2
34..18 0.006 1066.0 203.0 0.1553 0.0011 0.0070 1.2 1.4
33..26 0.066 1066.0 203.0 0.1553 0.0117 0.0752 12.4 15.3
32..44 0.109 1066.0 203.0 0.1553 0.0194 0.1249 20.7 25.4
44..45 0.018 1066.0 203.0 0.1553 0.0032 0.0207 3.4 4.2
45..46 0.034 1066.0 203.0 0.1553 0.0061 0.0390 6.5 7.9
46..47 0.023 1066.0 203.0 0.1553 0.0041 0.0267 4.4 5.4
47..48 0.010 1066.0 203.0 0.1553 0.0018 0.0117 1.9 2.4
48..17 0.003 1066.0 203.0 0.1553 0.0005 0.0029 0.5 0.6
48..29 0.010 1066.0 203.0 0.1553 0.0018 0.0118 1.9 2.4
47..49 0.003 1066.0 203.0 0.1553 0.0005 0.0029 0.5 0.6
49..22 0.000 1066.0 203.0 0.1553 0.0000 0.0000 0.0 0.0
49..5 0.000 1066.0 203.0 0.1553 0.0000 0.0000 0.0 0.0
49..9 0.003 1066.0 203.0 0.1553 0.0005 0.0029 0.5 0.6
47..27 0.008 1066.0 203.0 0.1553 0.0014 0.0088 1.5 1.8
47..7 0.005 1066.0 203.0 0.1553 0.0009 0.0059 1.0 1.2
46..50 0.008 1066.0 203.0 0.1553 0.0014 0.0088 1.5 1.8
50..21 0.005 1066.0 203.0 0.1553 0.0009 0.0057 0.9 1.2
50..1 0.015 1066.0 203.0 0.1553 0.0027 0.0177 2.9 3.6
46..15 0.005 1066.0 203.0 0.1553 0.0009 0.0058 1.0 1.2
45..30 0.003 1066.0 203.0 0.1553 0.0004 0.0029 0.5 0.6
45..14 0.005 1066.0 203.0 0.1553 0.0009 0.0059 1.0 1.2
44..10 0.043 1066.0 203.0 0.1553 0.0076 0.0491 8.1 10.0
Time used: 46:46
Model 8: beta&w>1 (11 categories)
TREE # 1: (12, 6, ((((11, ((13, 8), (((16, 25), (3, 24)), (4, 2), (19, 23), 28)), 20), 18), 26), (((((17, 29), (22, 5, 9), 27, 7), (21, 1), 15), 30, 14), 10))); MP score: 311
lnL(ntime: 49 np: 54): -3471.703097 +0.000000
31..12 31..6 31..32 32..33 33..34 34..35 35..11 35..36 36..37 37..13 37..8 36..38 38..39 39..40 40..16 40..25 39..41 41..3 41..24 38..42 42..4 42..2 38..43 43..19 43..23 38..28 35..20 34..18 33..26 32..44 44..45 45..46 46..47 47..48 48..17 48..29 47..49 49..22 49..5 49..9 47..27 47..7 46..50 50..21 50..1 46..15 45..30 45..14 44..10
0.372345 0.027796 0.000430 0.015926 0.010820 0.006632 0.023151 0.003623 0.002888 0.008767 0.022345 0.009098 0.002579 0.002597 0.007775 0.010329 0.005152 0.000004 0.002566 0.012999 0.000004 0.000004 0.005223 0.007842 0.007800 0.005158 0.005411 0.006101 0.066250 0.110481 0.018327 0.034119 0.023337 0.010262 0.002558 0.010291 0.002552 0.000004 0.000004 0.002560 0.007673 0.005111 0.007703 0.005009 0.015471 0.005082 0.002463 0.005199 0.042832 2.531109 0.979675 0.325316 2.197220 2.034147
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.962655
(12: 0.372345, 6: 0.027796, ((((11: 0.023151, ((13: 0.008767, 8: 0.022345): 0.002888, (((16: 0.007775, 25: 0.010329): 0.002597, (3: 0.000004, 24: 0.002566): 0.005152): 0.002579, (4: 0.000004, 2: 0.000004): 0.012999, (19: 0.007842, 23: 0.007800): 0.005223, 28: 0.005158): 0.009098): 0.003623, 20: 0.005411): 0.006632, 18: 0.006101): 0.010820, 26: 0.066250): 0.015926, (((((17: 0.002558, 29: 0.010291): 0.010262, (22: 0.000004, 5: 0.000004, 9: 0.002560): 0.002552, 27: 0.007673, 7: 0.005111): 0.023337, (21: 0.005009, 1: 0.015471): 0.007703, 15: 0.005082): 0.034119, 30: 0.002463, 14: 0.005199): 0.018327, 10: 0.042832): 0.110481): 0.000430);
(C232: 0.372345, C27: 0.027796, ((((C28: 0.023151, ((C77: 0.008767, C124: 0.022345): 0.002888, (((C253: 0.007775, C254: 0.010329): 0.002597, (C137: 0.000004, C263: 0.002566): 0.005152): 0.002579, (C143: 0.000004, C144: 0.000004): 0.012999, (C242: 0.007842, C258: 0.007800): 0.005223, C142: 0.005158): 0.009098): 0.003623, C237: 0.005411): 0.006632, C291: 0.006101): 0.010820, C54: 0.066250): 0.015926, (((((C165: 0.002558, C83: 0.010291): 0.010262, (C40: 0.000004, C35: 0.000004, C37: 0.002560): 0.002552, C22: 0.007673, C158: 0.005111): 0.023337, (C19: 0.005009, C102: 0.015471): 0.007703, C212: 0.005082): 0.034119, C205: 0.002463, C200: 0.005199): 0.018327, C192: 0.042832): 0.110481): 0.000430);
Detailed output identifying parameters
kappa (ts/tv) = 2.53111
Parameters in M8 (beta&w>1):
p0 = 0.97967 p = 0.32532 q = 2.19722
(p1 = 0.02033) w = 2.03415
MLEs of dN/dS (w) for site classes (K=11)
p: 0.09797 0.09797 0.09797 0.09797 0.09797 0.09797 0.09797 0.09797 0.09797 0.09797 0.02033
w: 0.00004 0.00111 0.00534 0.01516 0.03338 0.06359 0.11099 0.18447 0.30312 0.53373 2.03415
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.372 1065.6 203.4 0.1639 0.0683 0.4166 72.8 84.7
31..6 0.028 1065.6 203.4 0.1639 0.0051 0.0311 5.4 6.3
31..32 0.000 1065.6 203.4 0.1639 0.0001 0.0005 0.1 0.1
32..33 0.016 1065.6 203.4 0.1639 0.0029 0.0178 3.1 3.6
33..34 0.011 1065.6 203.4 0.1639 0.0020 0.0121 2.1 2.5
34..35 0.007 1065.6 203.4 0.1639 0.0012 0.0074 1.3 1.5
35..11 0.023 1065.6 203.4 0.1639 0.0042 0.0259 4.5 5.3
35..36 0.004 1065.6 203.4 0.1639 0.0007 0.0041 0.7 0.8
36..37 0.003 1065.6 203.4 0.1639 0.0005 0.0032 0.6 0.7
37..13 0.009 1065.6 203.4 0.1639 0.0016 0.0098 1.7 2.0
37..8 0.022 1065.6 203.4 0.1639 0.0041 0.0250 4.4 5.1
36..38 0.009 1065.6 203.4 0.1639 0.0017 0.0102 1.8 2.1
38..39 0.003 1065.6 203.4 0.1639 0.0005 0.0029 0.5 0.6
39..40 0.003 1065.6 203.4 0.1639 0.0005 0.0029 0.5 0.6
40..16 0.008 1065.6 203.4 0.1639 0.0014 0.0087 1.5 1.8
40..25 0.010 1065.6 203.4 0.1639 0.0019 0.0116 2.0 2.4
39..41 0.005 1065.6 203.4 0.1639 0.0009 0.0058 1.0 1.2
41..3 0.000 1065.6 203.4 0.1639 0.0000 0.0000 0.0 0.0
41..24 0.003 1065.6 203.4 0.1639 0.0005 0.0029 0.5 0.6
38..42 0.013 1065.6 203.4 0.1639 0.0024 0.0145 2.5 3.0
42..4 0.000 1065.6 203.4 0.1639 0.0000 0.0000 0.0 0.0
42..2 0.000 1065.6 203.4 0.1639 0.0000 0.0000 0.0 0.0
38..43 0.005 1065.6 203.4 0.1639 0.0010 0.0058 1.0 1.2
43..19 0.008 1065.6 203.4 0.1639 0.0014 0.0088 1.5 1.8
43..23 0.008 1065.6 203.4 0.1639 0.0014 0.0087 1.5 1.8
38..28 0.005 1065.6 203.4 0.1639 0.0009 0.0058 1.0 1.2
35..20 0.005 1065.6 203.4 0.1639 0.0010 0.0061 1.1 1.2
34..18 0.006 1065.6 203.4 0.1639 0.0011 0.0068 1.2 1.4
33..26 0.066 1065.6 203.4 0.1639 0.0121 0.0741 12.9 15.1
32..44 0.110 1065.6 203.4 0.1639 0.0203 0.1236 21.6 25.1
44..45 0.018 1065.6 203.4 0.1639 0.0034 0.0205 3.6 4.2
45..46 0.034 1065.6 203.4 0.1639 0.0063 0.0382 6.7 7.8
46..47 0.023 1065.6 203.4 0.1639 0.0043 0.0261 4.6 5.3
47..48 0.010 1065.6 203.4 0.1639 0.0019 0.0115 2.0 2.3
48..17 0.003 1065.6 203.4 0.1639 0.0005 0.0029 0.5 0.6
48..29 0.010 1065.6 203.4 0.1639 0.0019 0.0115 2.0 2.3
47..49 0.003 1065.6 203.4 0.1639 0.0005 0.0029 0.5 0.6
49..22 0.000 1065.6 203.4 0.1639 0.0000 0.0000 0.0 0.0
49..5 0.000 1065.6 203.4 0.1639 0.0000 0.0000 0.0 0.0
49..9 0.003 1065.6 203.4 0.1639 0.0005 0.0029 0.5 0.6
47..27 0.008 1065.6 203.4 0.1639 0.0014 0.0086 1.5 1.7
47..7 0.005 1065.6 203.4 0.1639 0.0009 0.0057 1.0 1.2
46..50 0.008 1065.6 203.4 0.1639 0.0014 0.0086 1.5 1.8
50..21 0.005 1065.6 203.4 0.1639 0.0009 0.0056 1.0 1.1
50..1 0.015 1065.6 203.4 0.1639 0.0028 0.0173 3.0 3.5
46..15 0.005 1065.6 203.4 0.1639 0.0009 0.0057 1.0 1.2
45..30 0.002 1065.6 203.4 0.1639 0.0005 0.0028 0.5 0.6
45..14 0.005 1065.6 203.4 0.1639 0.0010 0.0058 1.0 1.2
44..10 0.043 1065.6 203.4 0.1639 0.0079 0.0479 8.4 9.7
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C102)
Pr(w>1) post mean +- SE for w
20 H 0.973* 1.993
158 A 0.749 1.650
159 T 0.698 1.563
181 S 0.862 1.823
381 L 0.701 1.568
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: C102)
Pr(w>1) post mean +- SE for w
20 H 0.947 1.485 +- 0.225
158 A 0.837 1.394 +- 0.329
159 T 0.806 1.359 +- 0.378
181 S 0.882 1.432 +- 0.295
296 R 0.535 1.050 +- 0.547
297 Q 0.620 1.149 +- 0.521
375 D 0.515 1.081 +- 0.470
378 I 0.601 1.127 +- 0.529
381 L 0.808 1.361 +- 0.376
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 : 0.998 0.002 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
q : 0.000 0.000 0.000 0.014 0.108 0.220 0.241 0.194 0.134 0.088
ws: 0.978 0.022 0.001 0.000 0.000 0.000 0.000 0.000 0.000 0.000
Time used: 1:37:54
Model 1: NearlyNeutral -3473.016663 Model 2: PositiveSelection -3473.016663 Model 7: beta -3473.996454 Model 8: beta&w>1 -3471.703097 Model 2 vs 1 0 Model 8 vs 7 4.586714
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
