--- 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 -3072.71 -3099.73
2 -3070.87 -3107.10
--------------------------------------
TOTAL -3071.42 -3106.41
--------------------------------------
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} 0.137651 0.000228 0.107531 0.165913 0.136742 1316.79 1408.89 1.002
r(A<->C){all} 0.046399 0.000466 0.010608 0.088432 0.043338 508.38 705.24 1.000
r(A<->G){all} 0.290611 0.001918 0.212449 0.383041 0.287560 662.37 720.36 1.001
r(A<->T){all} 0.032701 0.000121 0.013134 0.054882 0.031500 725.43 937.92 1.000
r(C<->G){all} 0.031503 0.000338 0.001653 0.066695 0.028016 773.06 832.92 1.000
r(C<->T){all} 0.528462 0.002267 0.434447 0.619460 0.530655 763.00 920.15 1.000
r(G<->T){all} 0.070326 0.000289 0.040274 0.105912 0.069384 948.23 1000.93 1.000
pi(A){all} 0.233681 0.000116 0.212859 0.254665 0.233523 780.68 940.64 1.000
pi(C){all} 0.145660 0.000078 0.129405 0.163712 0.145458 841.23 1044.13 1.000
pi(G){all} 0.214188 0.000104 0.193680 0.233724 0.214274 1079.56 1126.34 1.000
pi(T){all} 0.406471 0.000151 0.382369 0.430677 0.406341 970.01 978.55 1.000
alpha{1,2} 0.266401 0.032646 0.000540 0.544202 0.235342 793.64 917.95 1.000
alpha{3} 1.873392 1.236436 0.352607 4.138759 1.615725 1203.60 1208.00 1.000
pinvar{all} 0.582119 0.009666 0.376726 0.741713 0.594343 726.11 841.48 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
--- CODEML SUMMARY
Model 1: NearlyNeutral -2957.568934
Model 2: PositiveSelection -2955.953678
Model 7: beta -2959.581774
Model 8: beta&w>1 -2955.996774
Model 2 vs 1 3.230512
Model 8 vs 7 7.170000
Additional information for M7 vs M8:
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C238)
Pr(w>1) post mean +- SE for w
41 A 0.950* 2.233
98 F 0.631 1.506
141 S 0.999** 2.345
164 P 0.931 2.191
211 I 0.984* 2.310
398 R 0.998** 2.343
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: C238)
Pr(w>1) post mean +- SE for w
41 A 0.815 1.538 +- 0.714
98 F 0.532 1.100 +- 0.753
141 S 0.909 1.657 +- 0.598
164 P 0.787 1.499 +- 0.730
211 I 0.825 1.549 +- 0.660
398 R 0.932 1.688 +- 0.595
-- Starting log on Fri Nov 18 14:39:43 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_TM2_VIPR_ALG4_QEY10630_1_8451_9938_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Fri Nov 18 14:50:10 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_TM2_VIPR_ALG4_QEY10630_1_8451_9938_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Sat Nov 19 00:41:35 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_TM2_VIPR_ALG4_QEY10630_1_8451_9938_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/gapped_alignment/codeml,DcCoV_HKU23_camel_Morocco_CAC2586_2016_TM2_VIPR_ALG4_QEY10630_1_8451_9938_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 1488 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C216
Taxon 2 -> C7
Taxon 3 -> C53
Taxon 4 -> C113
Taxon 5 -> C173
Taxon 6 -> C197
Taxon 7 -> C242
Taxon 8 -> C11
Taxon 9 -> C36
Taxon 10 -> C57
Taxon 11 -> C82
Taxon 12 -> C85
Taxon 13 -> C78
Taxon 14 -> C238
Taxon 15 -> C281
Taxon 16 -> C60
Taxon 17 -> C178
Taxon 18 -> C32
Taxon 19 -> C71
Taxon 20 -> C66
Taxon 21 -> C124
Taxon 22 -> C65
Taxon 23 -> C130
Taxon 24 -> C131
Taxon 25 -> C72
Taxon 26 -> C77
Taxon 27 -> C136
Taxon 28 -> C93
Taxon 29 -> C79
Taxon 30 -> C84
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1668818497
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) = 1042192112
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 = 7918327407
Seed = 2113048182
Swapseed = 1668818497
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 33 unique site patterns
Division 2 has 16 unique site patterns
Division 3 has 68 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 -- -5420.408033 -- 82.122948
Chain 2 -- -5439.430016 -- 82.122948
Chain 3 -- -5393.690079 -- 82.122948
Chain 4 -- -5365.283826 -- 82.122948
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -5457.192179 -- 82.122948
Chain 2 -- -5249.250327 -- 82.122948
Chain 3 -- -5627.838544 -- 82.122948
Chain 4 -- -5578.602343 -- 82.122948
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-5420.408] (-5439.430) (-5393.690) (-5365.284) * [-5457.192] (-5249.250) (-5627.839) (-5578.602)
1000 -- (-3550.689) (-3254.279) [-3227.489] (-3239.305) * (-3314.097) (-3230.144) (-3289.605) [-3186.056] -- 0:16:39
2000 -- (-3154.328) [-3134.930] (-3161.466) (-3179.243) * (-3196.805) (-3131.467) (-3126.881) [-3127.078] -- 0:16:38
3000 -- (-3120.397) [-3119.317] (-3155.905) (-3134.964) * (-3139.143) (-3102.296) [-3085.465] (-3117.268) -- 0:16:37
4000 -- (-3105.924) [-3086.667] (-3122.433) (-3125.443) * (-3114.303) (-3091.752) [-3084.158] (-3105.910) -- 0:16:36
5000 -- (-3107.883) (-3096.913) (-3117.660) [-3100.059] * (-3090.484) [-3089.877] (-3092.413) (-3111.421) -- 0:16:35
Average standard deviation of split frequencies: 0.082703
6000 -- (-3072.690) (-3106.709) [-3091.026] (-3106.350) * (-3101.870) [-3086.203] (-3093.413) (-3120.345) -- 0:16:34
7000 -- (-3080.191) (-3091.233) [-3083.767] (-3089.059) * (-3101.099) [-3078.842] (-3084.664) (-3104.379) -- 0:16:33
8000 -- (-3089.970) (-3089.767) [-3066.621] (-3102.931) * (-3097.497) (-3103.344) [-3077.760] (-3091.278) -- 0:18:36
9000 -- (-3098.578) [-3088.841] (-3088.251) (-3085.509) * (-3097.435) (-3102.611) (-3085.026) [-3086.278] -- 0:18:21
10000 -- (-3101.511) [-3098.407] (-3082.280) (-3103.923) * (-3106.300) [-3090.806] (-3105.545) (-3086.665) -- 0:18:09
Average standard deviation of split frequencies: 0.074394
11000 -- (-3090.039) (-3083.885) [-3087.952] (-3102.154) * (-3090.495) (-3097.578) (-3106.587) [-3086.254] -- 0:17:58
12000 -- (-3088.196) (-3098.037) [-3082.045] (-3085.459) * (-3097.516) (-3083.035) (-3111.707) [-3090.885] -- 0:17:50
13000 -- (-3081.405) [-3085.084] (-3098.257) (-3079.114) * [-3076.744] (-3097.762) (-3081.724) (-3097.155) -- 0:17:42
14000 -- (-3085.185) (-3097.309) [-3089.647] (-3089.203) * (-3091.460) (-3081.458) [-3082.756] (-3096.035) -- 0:17:36
15000 -- [-3085.789] (-3093.341) (-3092.342) (-3101.207) * (-3102.764) [-3087.618] (-3095.268) (-3087.898) -- 0:17:30
Average standard deviation of split frequencies: 0.066782
16000 -- [-3079.115] (-3085.518) (-3113.235) (-3102.074) * (-3076.612) (-3097.462) (-3103.067) [-3081.422] -- 0:17:25
17000 -- (-3095.437) [-3082.721] (-3100.971) (-3085.910) * [-3084.739] (-3089.717) (-3116.828) (-3093.907) -- 0:17:20
18000 -- (-3083.190) [-3087.654] (-3099.708) (-3095.972) * (-3084.079) (-3102.399) [-3085.399] (-3101.075) -- 0:17:16
19000 -- [-3081.741] (-3082.324) (-3096.987) (-3106.340) * (-3093.883) [-3074.420] (-3092.267) (-3094.906) -- 0:17:12
20000 -- [-3086.355] (-3103.100) (-3096.598) (-3105.947) * [-3090.047] (-3101.098) (-3095.820) (-3084.301) -- 0:17:09
Average standard deviation of split frequencies: 0.055484
21000 -- (-3097.891) (-3088.100) [-3073.916] (-3116.132) * (-3092.141) (-3093.672) (-3076.020) [-3079.266] -- 0:17:05
22000 -- (-3100.308) (-3091.777) [-3079.530] (-3098.704) * (-3100.637) (-3093.531) [-3078.933] (-3095.071) -- 0:17:02
23000 -- [-3087.751] (-3089.726) (-3086.871) (-3100.812) * (-3094.450) [-3087.530] (-3096.244) (-3089.699) -- 0:16:59
24000 -- [-3080.056] (-3101.643) (-3111.976) (-3093.769) * (-3117.144) [-3081.802] (-3094.854) (-3080.524) -- 0:16:56
25000 -- (-3090.357) (-3105.435) (-3095.353) [-3088.388] * (-3086.007) (-3084.463) (-3108.434) [-3078.038] -- 0:16:53
Average standard deviation of split frequencies: 0.039970
26000 -- (-3096.836) (-3098.517) [-3081.245] (-3101.594) * (-3088.710) (-3092.235) (-3090.261) [-3080.384] -- 0:16:51
27000 -- (-3104.836) [-3084.482] (-3094.248) (-3104.189) * (-3106.254) (-3089.107) [-3087.816] (-3090.590) -- 0:16:49
28000 -- (-3092.207) [-3096.739] (-3103.638) (-3092.014) * [-3088.787] (-3095.745) (-3092.519) (-3085.474) -- 0:16:46
29000 -- [-3097.115] (-3087.072) (-3080.879) (-3115.049) * (-3109.115) (-3085.879) (-3089.636) [-3069.148] -- 0:16:44
30000 -- (-3096.816) [-3089.610] (-3091.039) (-3112.811) * (-3088.227) (-3090.575) (-3114.332) [-3085.957] -- 0:16:42
Average standard deviation of split frequencies: 0.034936
31000 -- (-3105.614) [-3092.065] (-3086.497) (-3111.464) * (-3097.839) [-3078.632] (-3090.892) (-3085.488) -- 0:17:11
32000 -- (-3094.764) [-3080.346] (-3093.567) (-3105.279) * (-3104.235) (-3088.848) (-3094.393) [-3076.065] -- 0:17:08
33000 -- (-3098.009) [-3082.779] (-3100.331) (-3082.021) * (-3082.984) (-3085.423) [-3092.152] (-3095.675) -- 0:17:05
34000 -- (-3094.523) [-3081.405] (-3089.787) (-3112.157) * [-3072.463] (-3104.827) (-3078.301) (-3098.652) -- 0:17:02
35000 -- (-3103.600) (-3081.580) [-3080.468] (-3093.215) * (-3076.341) (-3109.600) (-3101.698) [-3085.528] -- 0:17:00
Average standard deviation of split frequencies: 0.032103
36000 -- (-3096.350) (-3076.765) (-3095.733) [-3087.896] * [-3092.890] (-3085.038) (-3109.383) (-3082.356) -- 0:16:57
37000 -- (-3091.700) (-3098.512) [-3080.806] (-3094.457) * [-3087.817] (-3086.551) (-3083.236) (-3091.387) -- 0:16:55
38000 -- (-3089.627) (-3087.685) [-3079.629] (-3109.404) * [-3083.325] (-3098.975) (-3083.351) (-3103.884) -- 0:16:52
39000 -- (-3092.189) (-3089.738) [-3073.226] (-3100.288) * (-3077.150) [-3073.071] (-3082.226) (-3103.839) -- 0:16:50
40000 -- (-3101.483) (-3086.743) (-3080.631) [-3079.506] * (-3096.030) (-3080.010) [-3075.829] (-3098.893) -- 0:16:47
Average standard deviation of split frequencies: 0.032547
41000 -- (-3097.139) (-3092.026) [-3084.822] (-3101.067) * (-3096.706) (-3084.946) (-3083.285) [-3080.925] -- 0:16:45
42000 -- (-3086.113) (-3080.600) [-3072.934] (-3092.476) * (-3104.432) [-3088.393] (-3086.598) (-3104.552) -- 0:16:43
43000 -- (-3093.727) (-3084.138) [-3087.381] (-3101.003) * (-3098.886) (-3089.039) [-3083.432] (-3091.659) -- 0:16:41
44000 -- (-3084.710) (-3113.898) (-3096.022) [-3087.403] * (-3102.470) (-3092.121) (-3085.087) [-3087.639] -- 0:16:39
45000 -- (-3090.841) (-3086.787) [-3088.697] (-3094.106) * (-3083.251) (-3094.460) (-3082.784) [-3092.175] -- 0:16:37
Average standard deviation of split frequencies: 0.026446
46000 -- (-3096.660) (-3102.558) [-3085.680] (-3084.144) * (-3092.537) [-3081.303] (-3087.385) (-3106.215) -- 0:16:35
47000 -- (-3088.151) (-3088.215) [-3088.041] (-3109.371) * (-3102.188) (-3088.182) [-3082.366] (-3078.730) -- 0:16:33
48000 -- (-3081.715) [-3081.606] (-3081.465) (-3101.392) * (-3107.044) [-3087.891] (-3080.931) (-3090.104) -- 0:16:31
49000 -- (-3096.274) (-3102.368) (-3083.418) [-3083.174] * (-3103.155) (-3108.776) (-3085.791) [-3091.747] -- 0:16:29
50000 -- [-3079.314] (-3096.325) (-3089.696) (-3105.372) * [-3099.352] (-3087.048) (-3097.768) (-3091.019) -- 0:16:27
Average standard deviation of split frequencies: 0.022187
51000 -- (-3100.630) (-3088.898) [-3084.756] (-3094.339) * (-3093.452) (-3093.978) [-3089.616] (-3100.878) -- 0:16:26
52000 -- (-3087.858) [-3093.894] (-3083.476) (-3088.998) * [-3083.446] (-3088.407) (-3099.344) (-3094.534) -- 0:16:24
53000 -- [-3075.806] (-3088.359) (-3097.686) (-3102.686) * [-3079.965] (-3094.831) (-3104.346) (-3095.814) -- 0:16:22
54000 -- (-3089.376) (-3097.600) (-3073.090) [-3079.542] * (-3105.145) [-3087.051] (-3091.485) (-3085.184) -- 0:16:21
55000 -- [-3085.898] (-3086.785) (-3079.051) (-3091.506) * [-3079.364] (-3108.163) (-3101.471) (-3096.652) -- 0:16:19
Average standard deviation of split frequencies: 0.021201
56000 -- (-3080.271) [-3086.018] (-3088.294) (-3088.087) * [-3084.904] (-3092.737) (-3084.208) (-3095.929) -- 0:16:34
57000 -- (-3085.630) (-3085.148) [-3078.659] (-3086.906) * [-3079.812] (-3093.553) (-3089.862) (-3087.476) -- 0:16:32
58000 -- (-3086.112) (-3085.113) [-3085.278] (-3094.012) * (-3096.413) [-3092.314] (-3095.244) (-3103.267) -- 0:16:30
59000 -- (-3097.104) (-3101.912) (-3090.141) [-3077.747] * (-3092.947) [-3095.611] (-3092.447) (-3105.658) -- 0:16:28
60000 -- (-3100.279) (-3092.559) [-3077.785] (-3095.431) * (-3087.972) (-3098.955) (-3092.270) [-3091.156] -- 0:16:26
Average standard deviation of split frequencies: 0.020721
61000 -- (-3085.262) (-3091.332) (-3088.917) [-3087.687] * (-3091.387) (-3090.412) (-3091.476) [-3082.473] -- 0:16:25
62000 -- (-3105.135) (-3089.693) (-3088.979) [-3080.280] * (-3092.279) (-3091.464) [-3077.150] (-3102.002) -- 0:16:23
63000 -- [-3083.541] (-3078.581) (-3091.220) (-3093.741) * (-3078.412) (-3103.967) [-3079.035] (-3087.842) -- 0:16:21
64000 -- [-3082.305] (-3077.604) (-3120.666) (-3107.062) * (-3094.322) (-3092.440) [-3091.179] (-3093.321) -- 0:16:19
65000 -- (-3071.643) [-3085.888] (-3104.011) (-3088.823) * [-3089.946] (-3093.675) (-3097.700) (-3099.892) -- 0:16:18
Average standard deviation of split frequencies: 0.019523
66000 -- (-3071.929) [-3092.853] (-3108.247) (-3102.779) * [-3088.204] (-3086.190) (-3088.195) (-3097.221) -- 0:16:16
67000 -- [-3077.763] (-3090.300) (-3097.769) (-3100.850) * (-3081.395) [-3087.405] (-3088.471) (-3084.484) -- 0:16:14
68000 -- [-3080.092] (-3075.960) (-3094.362) (-3095.688) * (-3080.425) [-3085.389] (-3089.913) (-3077.649) -- 0:16:13
69000 -- (-3077.562) [-3070.597] (-3088.329) (-3085.725) * (-3104.681) (-3074.308) [-3079.708] (-3084.502) -- 0:16:11
70000 -- (-3105.457) (-3085.378) (-3084.952) [-3076.272] * (-3090.000) (-3098.383) (-3082.976) [-3077.958] -- 0:16:09
Average standard deviation of split frequencies: 0.020242
71000 -- (-3111.323) (-3099.788) [-3076.428] (-3100.434) * (-3087.345) (-3093.507) (-3088.579) [-3094.037] -- 0:16:08
72000 -- (-3115.483) [-3097.624] (-3101.731) (-3083.651) * [-3087.516] (-3077.241) (-3082.822) (-3102.414) -- 0:16:06
73000 -- (-3108.157) (-3083.205) [-3085.512] (-3080.368) * (-3105.220) (-3083.096) [-3085.009] (-3096.303) -- 0:16:05
74000 -- (-3101.909) (-3103.380) [-3085.346] (-3080.869) * (-3115.470) (-3085.746) (-3096.743) [-3089.302] -- 0:16:03
75000 -- (-3101.824) (-3089.745) [-3090.867] (-3083.830) * (-3098.993) [-3087.145] (-3084.370) (-3078.367) -- 0:16:01
Average standard deviation of split frequencies: 0.021488
76000 -- (-3107.577) (-3093.601) (-3089.291) [-3085.527] * (-3096.902) (-3101.992) (-3091.543) [-3083.172] -- 0:16:00
77000 -- (-3115.705) (-3100.766) [-3088.948] (-3082.559) * (-3098.709) [-3094.029] (-3099.132) (-3094.271) -- 0:15:58
78000 -- (-3098.504) (-3111.424) [-3089.193] (-3079.839) * [-3102.783] (-3083.527) (-3097.437) (-3091.212) -- 0:15:57
79000 -- [-3087.181] (-3094.864) (-3087.495) (-3079.967) * [-3100.400] (-3093.068) (-3104.177) (-3093.507) -- 0:15:55
80000 -- (-3078.264) (-3098.443) (-3089.883) [-3076.965] * (-3087.735) (-3098.055) [-3081.595] (-3101.712) -- 0:15:54
Average standard deviation of split frequencies: 0.019047
81000 -- [-3081.992] (-3083.401) (-3097.154) (-3079.920) * [-3095.577] (-3101.484) (-3088.946) (-3092.012) -- 0:15:53
82000 -- (-3098.544) (-3099.877) (-3110.315) [-3082.492] * (-3089.599) (-3093.370) [-3077.819] (-3100.032) -- 0:15:51
83000 -- (-3089.706) [-3085.280] (-3096.741) (-3074.364) * (-3089.130) (-3097.909) [-3086.008] (-3089.881) -- 0:15:50
84000 -- [-3077.833] (-3103.770) (-3088.248) (-3094.754) * (-3100.876) [-3094.552] (-3082.201) (-3082.061) -- 0:15:48
85000 -- [-3081.818] (-3091.563) (-3090.958) (-3092.945) * (-3089.126) (-3090.843) [-3083.754] (-3087.098) -- 0:15:47
Average standard deviation of split frequencies: 0.019490
86000 -- [-3088.739] (-3085.782) (-3090.994) (-3101.107) * [-3075.640] (-3102.000) (-3119.388) (-3091.420) -- 0:15:45
87000 -- (-3078.727) [-3074.421] (-3076.522) (-3093.877) * (-3101.592) [-3087.043] (-3109.903) (-3088.797) -- 0:15:44
88000 -- [-3075.958] (-3109.911) (-3086.903) (-3108.763) * (-3109.095) [-3073.283] (-3090.592) (-3100.548) -- 0:15:43
89000 -- (-3080.505) [-3079.376] (-3094.206) (-3086.482) * (-3111.789) (-3089.908) (-3094.279) [-3088.564] -- 0:15:41
90000 -- (-3093.784) [-3084.312] (-3111.511) (-3081.529) * (-3092.785) (-3098.786) [-3077.146] (-3090.674) -- 0:15:40
Average standard deviation of split frequencies: 0.021760
91000 -- [-3080.794] (-3089.267) (-3102.502) (-3098.415) * (-3103.992) [-3088.403] (-3096.076) (-3098.083) -- 0:15:38
92000 -- [-3088.634] (-3099.160) (-3094.713) (-3087.962) * (-3102.131) (-3105.614) (-3090.295) [-3081.839] -- 0:15:37
93000 -- (-3095.094) [-3080.964] (-3103.863) (-3093.154) * (-3095.342) (-3095.014) [-3075.220] (-3090.705) -- 0:15:36
94000 -- [-3089.955] (-3099.262) (-3086.624) (-3094.955) * (-3087.710) (-3088.444) [-3080.467] (-3082.552) -- 0:15:34
95000 -- (-3092.589) (-3101.828) [-3082.838] (-3102.571) * [-3086.014] (-3084.344) (-3086.695) (-3096.279) -- 0:15:33
Average standard deviation of split frequencies: 0.026007
96000 -- [-3076.127] (-3100.093) (-3098.434) (-3087.569) * (-3095.509) (-3109.846) [-3087.563] (-3079.036) -- 0:15:32
97000 -- (-3081.944) [-3071.309] (-3104.809) (-3091.009) * (-3091.974) (-3091.767) [-3080.493] (-3080.712) -- 0:15:30
98000 -- (-3091.165) (-3096.858) (-3098.661) [-3077.385] * (-3074.770) (-3087.649) [-3086.314] (-3089.375) -- 0:15:29
99000 -- (-3091.746) (-3087.461) [-3082.573] (-3093.568) * [-3081.271] (-3094.174) (-3084.132) (-3098.015) -- 0:15:28
100000 -- [-3083.938] (-3088.135) (-3087.361) (-3082.078) * [-3084.185] (-3084.373) (-3101.093) (-3091.497) -- 0:15:27
Average standard deviation of split frequencies: 0.024455
101000 -- (-3089.745) [-3088.916] (-3090.608) (-3080.171) * (-3088.187) [-3086.702] (-3117.363) (-3081.946) -- 0:15:25
102000 -- (-3094.844) (-3088.779) (-3100.843) [-3083.219] * (-3092.720) [-3085.031] (-3097.963) (-3092.679) -- 0:15:24
103000 -- (-3076.752) (-3106.126) (-3103.275) [-3079.217] * (-3107.195) (-3089.559) [-3083.133] (-3087.604) -- 0:15:23
104000 -- (-3079.163) (-3089.555) [-3083.198] (-3089.278) * (-3092.572) (-3093.419) [-3076.118] (-3095.024) -- 0:15:21
105000 -- [-3073.267] (-3093.156) (-3102.575) (-3083.857) * (-3091.470) (-3094.135) [-3076.416] (-3095.228) -- 0:15:20
Average standard deviation of split frequencies: 0.026223
106000 -- [-3085.337] (-3100.007) (-3103.483) (-3081.256) * (-3084.910) (-3091.034) (-3083.374) [-3077.000] -- 0:15:19
107000 -- [-3084.160] (-3109.448) (-3097.927) (-3083.966) * (-3094.010) (-3101.984) [-3090.179] (-3094.534) -- 0:15:18
108000 -- [-3091.050] (-3111.338) (-3084.234) (-3084.838) * (-3095.788) (-3092.124) [-3086.485] (-3095.591) -- 0:15:25
109000 -- (-3102.270) (-3116.531) [-3084.462] (-3086.464) * (-3103.196) [-3074.813] (-3090.324) (-3107.641) -- 0:15:23
110000 -- (-3102.912) (-3113.643) [-3081.018] (-3098.882) * (-3086.079) (-3079.361) [-3096.414] (-3097.118) -- 0:15:22
Average standard deviation of split frequencies: 0.026623
111000 -- (-3094.591) (-3101.873) [-3073.868] (-3086.594) * (-3110.123) [-3083.981] (-3097.769) (-3104.705) -- 0:15:21
112000 -- (-3088.644) (-3092.867) [-3076.726] (-3100.725) * (-3098.431) (-3082.643) (-3086.376) [-3082.913] -- 0:15:19
113000 -- (-3093.838) (-3079.206) [-3081.887] (-3090.874) * (-3088.774) (-3097.683) [-3082.713] (-3081.743) -- 0:15:18
114000 -- [-3087.206] (-3087.955) (-3086.254) (-3093.692) * [-3079.733] (-3098.550) (-3094.548) (-3082.433) -- 0:15:17
115000 -- (-3078.743) [-3079.198] (-3099.629) (-3081.138) * (-3096.454) [-3091.427] (-3100.133) (-3081.669) -- 0:15:15
Average standard deviation of split frequencies: 0.026942
116000 -- (-3099.563) (-3087.041) [-3092.278] (-3105.886) * (-3107.349) (-3094.933) (-3078.915) [-3085.891] -- 0:15:14
117000 -- (-3095.934) [-3076.078] (-3094.909) (-3090.756) * (-3099.806) (-3078.217) [-3074.730] (-3094.910) -- 0:15:13
118000 -- (-3095.399) [-3087.872] (-3082.053) (-3106.593) * [-3085.194] (-3094.231) (-3083.880) (-3094.564) -- 0:15:11
119000 -- (-3093.878) (-3084.998) [-3087.510] (-3077.210) * (-3094.670) (-3096.919) [-3073.664] (-3091.536) -- 0:15:10
120000 -- (-3099.248) (-3097.531) (-3086.122) [-3084.100] * (-3088.473) [-3083.109] (-3104.967) (-3097.120) -- 0:15:09
Average standard deviation of split frequencies: 0.026334
121000 -- (-3092.540) (-3093.280) (-3088.485) [-3085.810] * (-3089.812) [-3094.255] (-3105.312) (-3092.427) -- 0:15:08
122000 -- [-3082.962] (-3088.305) (-3087.937) (-3083.633) * (-3093.595) [-3087.185] (-3108.431) (-3098.172) -- 0:15:06
123000 -- (-3095.329) (-3103.487) (-3089.662) [-3079.102] * [-3081.605] (-3094.825) (-3111.454) (-3084.358) -- 0:15:05
124000 -- (-3094.414) [-3086.489] (-3087.417) (-3092.562) * (-3091.408) (-3089.887) [-3092.842] (-3092.688) -- 0:15:04
125000 -- [-3083.099] (-3093.181) (-3100.356) (-3093.723) * [-3096.631] (-3098.807) (-3092.799) (-3091.780) -- 0:15:02
Average standard deviation of split frequencies: 0.024665
126000 -- (-3096.675) (-3095.193) (-3100.915) [-3085.132] * [-3081.275] (-3092.838) (-3086.789) (-3099.776) -- 0:15:01
127000 -- (-3093.619) (-3078.141) (-3088.280) [-3099.429] * [-3082.020] (-3098.357) (-3084.276) (-3094.628) -- 0:15:00
128000 -- (-3102.658) [-3079.064] (-3091.204) (-3088.104) * [-3089.285] (-3099.229) (-3105.740) (-3084.711) -- 0:15:06
129000 -- (-3105.731) [-3097.944] (-3104.887) (-3084.794) * [-3086.569] (-3096.578) (-3093.694) (-3079.155) -- 0:15:04
130000 -- [-3084.308] (-3080.158) (-3101.105) (-3100.396) * (-3095.309) (-3098.696) (-3093.135) [-3092.427] -- 0:15:03
Average standard deviation of split frequencies: 0.024867
131000 -- (-3091.456) [-3085.893] (-3090.509) (-3106.633) * (-3097.141) (-3090.893) [-3088.908] (-3085.091) -- 0:15:02
132000 -- (-3096.906) [-3085.465] (-3091.649) (-3090.003) * (-3093.533) [-3070.979] (-3090.128) (-3086.427) -- 0:15:00
133000 -- (-3092.512) (-3090.834) (-3080.717) [-3088.532] * (-3108.248) [-3083.021] (-3090.412) (-3079.657) -- 0:14:59
134000 -- (-3095.294) (-3092.728) (-3087.390) [-3091.229] * (-3109.928) [-3079.434] (-3086.952) (-3080.515) -- 0:14:58
135000 -- [-3086.379] (-3078.851) (-3087.503) (-3112.256) * (-3085.689) [-3096.145] (-3094.044) (-3078.462) -- 0:14:57
Average standard deviation of split frequencies: 0.024024
136000 -- [-3074.976] (-3090.349) (-3103.979) (-3097.315) * [-3082.516] (-3093.561) (-3102.998) (-3083.348) -- 0:14:55
137000 -- [-3080.777] (-3077.503) (-3116.252) (-3097.495) * (-3092.935) [-3083.317] (-3088.529) (-3094.483) -- 0:14:54
138000 -- (-3092.116) [-3090.471] (-3091.767) (-3097.852) * (-3088.258) (-3109.560) [-3085.985] (-3098.452) -- 0:14:53
139000 -- [-3077.114] (-3087.469) (-3086.957) (-3109.578) * [-3080.339] (-3100.800) (-3107.138) (-3080.829) -- 0:14:51
140000 -- [-3081.170] (-3096.202) (-3092.248) (-3095.248) * [-3087.291] (-3092.884) (-3088.082) (-3098.099) -- 0:14:50
Average standard deviation of split frequencies: 0.020728
141000 -- [-3073.547] (-3093.636) (-3093.858) (-3101.365) * (-3099.851) [-3090.351] (-3106.871) (-3084.144) -- 0:14:49
142000 -- [-3089.199] (-3104.931) (-3104.861) (-3087.326) * (-3091.002) (-3098.858) (-3086.772) [-3092.545] -- 0:14:48
143000 -- [-3094.095] (-3100.572) (-3087.364) (-3094.532) * (-3092.381) [-3082.297] (-3090.577) (-3105.110) -- 0:14:46
144000 -- (-3095.095) (-3109.933) [-3086.449] (-3094.236) * (-3094.372) (-3086.576) (-3094.996) [-3088.561] -- 0:14:45
145000 -- (-3092.027) (-3102.378) (-3092.116) [-3083.287] * (-3095.803) (-3087.308) (-3098.483) [-3090.492] -- 0:14:44
Average standard deviation of split frequencies: 0.022025
146000 -- (-3097.633) (-3107.382) (-3085.958) [-3081.276] * (-3082.528) [-3077.664] (-3107.012) (-3084.257) -- 0:14:43
147000 -- [-3084.878] (-3096.459) (-3081.107) (-3089.523) * (-3084.130) [-3081.479] (-3101.486) (-3100.907) -- 0:14:42
148000 -- [-3078.943] (-3093.093) (-3101.115) (-3081.461) * (-3103.956) (-3077.431) [-3094.810] (-3093.211) -- 0:14:40
149000 -- [-3097.223] (-3080.328) (-3098.017) (-3094.018) * (-3120.231) [-3097.002] (-3085.890) (-3105.062) -- 0:14:39
150000 -- (-3099.008) (-3091.594) (-3093.876) [-3079.701] * (-3091.776) (-3090.014) [-3085.829] (-3093.912) -- 0:14:38
Average standard deviation of split frequencies: 0.023578
151000 -- [-3092.919] (-3099.382) (-3085.558) (-3084.032) * (-3106.037) (-3086.227) (-3084.847) [-3084.569] -- 0:14:37
152000 -- (-3087.727) (-3076.680) (-3083.041) [-3084.659] * [-3086.413] (-3098.516) (-3082.855) (-3087.670) -- 0:14:35
153000 -- (-3100.929) (-3094.013) [-3086.658] (-3098.372) * (-3099.364) (-3090.729) (-3103.255) [-3092.347] -- 0:14:34
154000 -- (-3102.523) (-3086.169) [-3077.124] (-3099.694) * (-3103.811) (-3090.842) [-3078.664] (-3101.689) -- 0:14:33
155000 -- [-3086.887] (-3098.275) (-3090.201) (-3109.598) * [-3079.694] (-3097.853) (-3084.849) (-3101.139) -- 0:14:32
Average standard deviation of split frequencies: 0.022272
156000 -- (-3092.344) (-3097.340) (-3114.761) [-3090.588] * (-3099.636) [-3085.539] (-3095.615) (-3073.510) -- 0:14:31
157000 -- (-3096.836) (-3088.270) (-3105.189) [-3091.660] * (-3095.611) (-3078.973) [-3083.025] (-3096.943) -- 0:14:29
158000 -- (-3101.192) (-3079.036) (-3108.910) [-3077.383] * (-3112.753) [-3089.584] (-3078.346) (-3091.221) -- 0:14:28
159000 -- (-3091.447) (-3082.272) (-3102.464) [-3072.390] * (-3086.136) [-3099.749] (-3096.267) (-3092.411) -- 0:14:27
160000 -- (-3094.260) (-3084.457) (-3105.054) [-3080.623] * (-3100.495) [-3085.745] (-3086.552) (-3087.169) -- 0:14:26
Average standard deviation of split frequencies: 0.024668
161000 -- (-3089.845) (-3082.812) (-3096.357) [-3080.637] * (-3104.377) (-3105.586) [-3086.498] (-3091.496) -- 0:14:25
162000 -- (-3087.497) (-3084.929) (-3096.347) [-3076.817] * (-3109.019) (-3094.932) [-3089.801] (-3093.439) -- 0:14:23
163000 -- (-3099.964) (-3092.627) [-3087.985] (-3093.054) * (-3098.372) [-3080.557] (-3088.421) (-3078.721) -- 0:14:22
164000 -- [-3087.678] (-3094.010) (-3087.398) (-3097.395) * (-3097.668) (-3085.914) (-3085.367) [-3083.721] -- 0:14:21
165000 -- (-3104.057) (-3089.009) [-3089.635] (-3102.183) * (-3087.557) (-3096.571) (-3098.860) [-3093.500] -- 0:14:20
Average standard deviation of split frequencies: 0.023875
166000 -- (-3095.993) (-3097.673) [-3078.340] (-3095.871) * (-3079.900) (-3109.233) (-3101.823) [-3086.394] -- 0:14:19
167000 -- (-3096.330) (-3092.128) [-3076.506] (-3091.955) * [-3084.632] (-3079.448) (-3105.994) (-3096.945) -- 0:14:17
168000 -- (-3088.222) (-3091.272) [-3081.239] (-3112.780) * (-3097.577) (-3093.073) (-3091.749) [-3092.463] -- 0:14:16
169000 -- [-3086.403] (-3098.523) (-3108.581) (-3089.102) * (-3086.339) [-3081.642] (-3106.070) (-3108.009) -- 0:14:15
170000 -- [-3086.959] (-3101.470) (-3102.108) (-3099.065) * (-3095.563) (-3088.110) [-3084.659] (-3097.111) -- 0:14:14
Average standard deviation of split frequencies: 0.024962
171000 -- (-3081.082) (-3082.669) [-3084.309] (-3088.470) * (-3102.664) [-3092.462] (-3082.384) (-3093.910) -- 0:14:13
172000 -- [-3091.665] (-3076.516) (-3106.652) (-3101.799) * (-3114.547) (-3089.090) (-3089.670) [-3084.340] -- 0:14:12
173000 -- (-3100.810) (-3092.973) (-3104.571) [-3092.335] * (-3094.826) [-3087.881] (-3108.100) (-3101.767) -- 0:14:10
174000 -- (-3091.804) (-3078.611) (-3103.169) [-3086.822] * (-3079.528) (-3086.206) (-3096.635) [-3084.162] -- 0:14:09
175000 -- (-3101.611) (-3081.098) [-3087.787] (-3084.992) * [-3077.424] (-3080.280) (-3110.859) (-3086.492) -- 0:14:08
Average standard deviation of split frequencies: 0.025396
176000 -- (-3093.589) (-3100.805) [-3083.616] (-3083.845) * [-3066.838] (-3092.901) (-3092.888) (-3091.080) -- 0:14:07
177000 -- (-3100.187) [-3091.022] (-3092.363) (-3092.319) * (-3085.136) [-3085.425] (-3092.262) (-3095.491) -- 0:14:10
178000 -- (-3097.919) (-3092.464) (-3080.687) [-3081.786] * (-3097.924) (-3096.498) (-3091.049) [-3081.956] -- 0:14:09
179000 -- (-3093.649) [-3081.179] (-3086.402) (-3083.294) * [-3073.844] (-3083.696) (-3110.630) (-3075.911) -- 0:14:08
180000 -- [-3090.934] (-3076.850) (-3086.583) (-3077.937) * (-3093.436) (-3074.162) (-3093.680) [-3074.325] -- 0:14:07
Average standard deviation of split frequencies: 0.024688
181000 -- (-3096.053) (-3081.447) (-3085.440) [-3076.982] * (-3091.810) [-3078.953] (-3086.079) (-3091.747) -- 0:14:06
182000 -- (-3091.957) [-3081.145] (-3074.344) (-3082.153) * (-3101.880) (-3088.030) [-3072.666] (-3088.750) -- 0:14:04
183000 -- [-3086.347] (-3088.336) (-3093.816) (-3081.763) * (-3089.814) (-3110.881) [-3083.586] (-3087.147) -- 0:14:03
184000 -- (-3109.681) (-3086.067) [-3087.320] (-3075.594) * (-3093.316) (-3100.747) [-3086.743] (-3086.571) -- 0:14:02
185000 -- (-3109.392) (-3092.256) (-3087.662) [-3075.017] * (-3096.114) (-3105.241) [-3083.523] (-3099.745) -- 0:14:01
Average standard deviation of split frequencies: 0.023172
186000 -- (-3094.502) [-3088.431] (-3102.097) (-3084.608) * (-3086.828) (-3105.232) [-3084.933] (-3106.745) -- 0:14:00
187000 -- [-3078.439] (-3091.140) (-3095.401) (-3083.567) * (-3101.854) (-3102.899) [-3082.786] (-3101.587) -- 0:13:59
188000 -- [-3071.620] (-3096.513) (-3099.845) (-3096.207) * [-3092.848] (-3084.548) (-3084.159) (-3085.452) -- 0:13:57
189000 -- [-3080.505] (-3093.887) (-3078.376) (-3093.324) * [-3084.597] (-3088.943) (-3096.063) (-3102.059) -- 0:13:56
190000 -- (-3094.877) [-3085.595] (-3101.197) (-3085.668) * (-3104.139) [-3092.536] (-3094.707) (-3106.597) -- 0:13:55
Average standard deviation of split frequencies: 0.024083
191000 -- (-3096.935) [-3079.395] (-3099.127) (-3102.416) * (-3095.173) (-3099.773) [-3084.423] (-3090.431) -- 0:13:54
192000 -- (-3075.492) [-3086.692] (-3100.438) (-3083.169) * (-3102.980) (-3092.192) [-3088.926] (-3093.961) -- 0:13:53
193000 -- [-3083.262] (-3104.134) (-3084.801) (-3092.879) * (-3080.348) [-3091.196] (-3092.149) (-3081.522) -- 0:13:52
194000 -- [-3095.521] (-3097.072) (-3073.633) (-3100.598) * (-3104.803) [-3083.778] (-3082.648) (-3093.498) -- 0:13:50
195000 -- (-3091.203) (-3087.928) [-3088.250] (-3095.904) * (-3094.975) (-3084.987) (-3081.996) [-3080.582] -- 0:13:49
Average standard deviation of split frequencies: 0.022448
196000 -- (-3090.426) (-3094.659) [-3080.055] (-3085.759) * (-3094.167) [-3087.507] (-3095.693) (-3099.580) -- 0:13:48
197000 -- (-3090.321) [-3083.888] (-3086.524) (-3094.438) * (-3095.531) [-3095.284] (-3090.946) (-3096.190) -- 0:13:47
198000 -- (-3091.454) (-3100.383) [-3080.201] (-3093.553) * [-3081.295] (-3094.684) (-3104.051) (-3076.486) -- 0:13:46
199000 -- [-3069.652] (-3089.416) (-3083.797) (-3075.006) * [-3090.539] (-3078.154) (-3099.530) (-3079.548) -- 0:13:45
200000 -- (-3100.491) (-3076.874) [-3065.013] (-3096.754) * [-3085.937] (-3094.899) (-3080.578) (-3106.889) -- 0:13:47
Average standard deviation of split frequencies: 0.024395
201000 -- (-3100.442) [-3081.697] (-3089.949) (-3074.525) * (-3102.732) (-3101.406) (-3088.500) [-3092.131] -- 0:13:46
202000 -- (-3098.152) (-3069.451) (-3097.022) [-3070.819] * [-3082.803] (-3099.941) (-3085.315) (-3099.147) -- 0:13:45
203000 -- (-3097.948) [-3079.909] (-3100.697) (-3083.573) * (-3105.695) (-3102.374) (-3091.246) [-3081.592] -- 0:13:44
204000 -- (-3080.363) (-3082.062) (-3099.279) [-3082.412] * (-3089.574) (-3093.600) (-3096.508) [-3077.118] -- 0:13:43
205000 -- (-3083.226) [-3095.150] (-3085.517) (-3096.566) * (-3095.551) (-3095.865) [-3082.128] (-3085.489) -- 0:13:42
Average standard deviation of split frequencies: 0.023852
206000 -- (-3093.775) (-3075.322) (-3109.396) [-3083.590] * (-3099.334) (-3100.225) [-3077.684] (-3077.046) -- 0:13:40
207000 -- [-3084.282] (-3086.406) (-3099.974) (-3090.537) * (-3107.877) (-3099.532) (-3089.129) [-3079.426] -- 0:13:39
208000 -- (-3091.802) (-3083.111) (-3085.969) [-3086.895] * [-3084.031] (-3110.993) (-3103.178) (-3104.422) -- 0:13:38
209000 -- (-3105.535) (-3084.292) [-3079.045] (-3098.856) * (-3102.053) (-3108.926) (-3088.072) [-3096.227] -- 0:13:37
210000 -- (-3085.968) (-3088.896) [-3082.692] (-3093.515) * (-3082.565) (-3104.575) (-3091.649) [-3077.809] -- 0:13:36
Average standard deviation of split frequencies: 0.022708
211000 -- (-3109.136) (-3111.563) (-3084.562) [-3085.831] * [-3075.675] (-3090.051) (-3087.816) (-3099.821) -- 0:13:35
212000 -- (-3115.376) (-3104.326) [-3071.845] (-3086.530) * (-3088.263) [-3085.718] (-3100.855) (-3077.579) -- 0:13:34
213000 -- (-3099.404) (-3099.102) (-3089.615) [-3078.442] * [-3077.766] (-3101.617) (-3087.083) (-3093.873) -- 0:13:32
214000 -- [-3092.704] (-3093.366) (-3087.526) (-3087.373) * [-3074.608] (-3099.441) (-3087.355) (-3103.664) -- 0:13:31
215000 -- (-3101.938) [-3087.661] (-3095.729) (-3095.922) * (-3085.659) (-3109.297) [-3083.737] (-3107.859) -- 0:13:30
Average standard deviation of split frequencies: 0.022309
216000 -- (-3100.045) [-3075.158] (-3093.536) (-3095.570) * (-3102.525) (-3078.032) [-3088.980] (-3090.270) -- 0:13:29
217000 -- (-3104.052) (-3093.547) (-3081.854) [-3088.703] * (-3094.569) (-3082.037) [-3088.204] (-3094.807) -- 0:13:28
218000 -- (-3097.857) (-3087.979) (-3093.046) [-3086.208] * (-3106.173) (-3096.022) (-3105.964) [-3082.524] -- 0:13:27
219000 -- (-3086.828) [-3092.151] (-3091.737) (-3088.369) * (-3094.357) [-3089.388] (-3091.081) (-3093.648) -- 0:13:25
220000 -- [-3084.828] (-3107.595) (-3080.047) (-3085.738) * (-3079.058) [-3087.504] (-3104.709) (-3097.772) -- 0:13:24
Average standard deviation of split frequencies: 0.020623
221000 -- (-3085.538) (-3101.838) (-3080.888) [-3099.693] * (-3095.349) [-3074.776] (-3091.284) (-3092.397) -- 0:13:23
222000 -- (-3084.946) (-3102.301) [-3084.274] (-3098.115) * (-3103.713) (-3080.167) [-3078.285] (-3104.042) -- 0:13:22
223000 -- (-3084.871) [-3081.384] (-3095.847) (-3095.033) * (-3086.982) (-3080.911) [-3073.031] (-3102.217) -- 0:13:21
224000 -- (-3086.413) (-3078.232) [-3085.455] (-3080.699) * [-3073.290] (-3089.783) (-3083.582) (-3103.348) -- 0:13:20
225000 -- (-3105.697) (-3087.522) [-3079.420] (-3101.435) * (-3089.825) (-3092.514) [-3081.511] (-3090.399) -- 0:13:19
Average standard deviation of split frequencies: 0.020009
226000 -- (-3091.091) (-3089.179) (-3088.993) [-3092.343] * (-3092.925) (-3109.264) [-3083.021] (-3098.606) -- 0:13:17
227000 -- (-3100.430) (-3096.166) [-3088.442] (-3098.426) * (-3085.615) (-3090.846) [-3085.507] (-3086.123) -- 0:13:16
228000 -- (-3104.253) [-3080.260] (-3093.158) (-3094.401) * (-3086.035) (-3103.962) (-3081.855) [-3079.547] -- 0:13:15
229000 -- (-3086.908) (-3080.951) (-3099.070) [-3094.363] * (-3082.603) (-3093.360) (-3077.814) [-3068.106] -- 0:13:14
230000 -- [-3094.596] (-3099.899) (-3102.656) (-3086.634) * (-3081.735) [-3083.830] (-3093.045) (-3088.061) -- 0:13:13
Average standard deviation of split frequencies: 0.017955
231000 -- (-3081.205) (-3091.411) [-3080.421] (-3088.562) * [-3090.806] (-3088.683) (-3091.646) (-3089.195) -- 0:13:12
232000 -- (-3081.226) [-3088.240] (-3095.352) (-3106.259) * (-3096.746) (-3100.659) [-3085.393] (-3085.413) -- 0:13:11
233000 -- [-3080.879] (-3101.351) (-3102.290) (-3099.949) * (-3109.788) (-3086.024) [-3085.188] (-3087.462) -- 0:13:10
234000 -- (-3087.374) [-3084.237] (-3098.211) (-3084.709) * (-3102.194) (-3094.912) (-3088.928) [-3089.411] -- 0:13:08
235000 -- (-3085.180) [-3085.221] (-3101.275) (-3093.043) * [-3088.003] (-3096.557) (-3088.493) (-3081.527) -- 0:13:07
Average standard deviation of split frequencies: 0.017335
236000 -- (-3097.786) (-3088.920) (-3090.091) [-3081.269] * (-3092.434) (-3107.283) (-3091.712) [-3076.748] -- 0:13:06
237000 -- [-3101.660] (-3096.701) (-3087.233) (-3110.623) * (-3083.450) (-3080.721) (-3097.122) [-3086.141] -- 0:13:05
238000 -- [-3093.184] (-3098.572) (-3080.177) (-3098.210) * (-3078.905) (-3099.349) (-3112.740) [-3071.804] -- 0:13:04
239000 -- (-3091.601) (-3087.897) [-3085.026] (-3100.684) * [-3082.228] (-3088.446) (-3095.444) (-3075.740) -- 0:13:03
240000 -- (-3089.159) (-3080.765) (-3087.058) [-3085.205] * (-3085.848) (-3079.192) (-3091.434) [-3084.807] -- 0:13:02
Average standard deviation of split frequencies: 0.016468
241000 -- (-3099.044) (-3097.127) [-3074.529] (-3072.445) * [-3081.935] (-3099.776) (-3105.566) (-3095.837) -- 0:13:04
242000 -- (-3082.334) (-3088.989) [-3084.570] (-3087.111) * [-3094.075] (-3079.281) (-3095.798) (-3090.372) -- 0:13:03
243000 -- (-3095.070) (-3081.896) [-3085.278] (-3101.437) * (-3092.205) [-3084.571] (-3101.492) (-3086.771) -- 0:13:01
244000 -- (-3081.454) (-3080.992) (-3112.124) [-3089.255] * (-3094.762) (-3087.990) (-3097.745) [-3080.928] -- 0:13:00
245000 -- (-3090.362) (-3099.990) (-3083.529) [-3079.896] * (-3097.965) [-3082.136] (-3098.799) (-3089.650) -- 0:12:59
Average standard deviation of split frequencies: 0.016324
246000 -- [-3095.065] (-3097.341) (-3091.732) (-3094.518) * (-3089.763) [-3074.769] (-3096.229) (-3084.944) -- 0:12:58
247000 -- (-3099.847) (-3093.324) (-3105.306) [-3102.133] * (-3089.292) (-3088.716) (-3112.884) [-3086.547] -- 0:12:57
248000 -- (-3089.989) (-3097.078) [-3087.403] (-3099.272) * (-3088.283) [-3076.403] (-3113.741) (-3100.910) -- 0:12:56
249000 -- (-3088.157) [-3088.250] (-3093.916) (-3096.956) * [-3076.916] (-3095.677) (-3127.021) (-3082.139) -- 0:12:55
250000 -- [-3078.839] (-3083.036) (-3089.426) (-3096.637) * (-3093.220) (-3089.693) (-3104.244) [-3076.716] -- 0:12:54
Average standard deviation of split frequencies: 0.014557
251000 -- [-3082.233] (-3085.314) (-3107.352) (-3102.612) * (-3099.930) (-3095.262) (-3090.083) [-3082.739] -- 0:12:52
252000 -- (-3080.894) (-3082.081) [-3086.403] (-3101.027) * (-3105.963) [-3076.626] (-3093.074) (-3083.165) -- 0:12:51
253000 -- (-3082.876) (-3090.632) [-3082.300] (-3107.138) * (-3088.810) (-3084.045) (-3098.683) [-3088.068] -- 0:12:50
254000 -- [-3078.681] (-3077.913) (-3092.667) (-3118.557) * (-3097.235) (-3093.656) (-3095.623) [-3082.726] -- 0:12:49
255000 -- (-3085.292) [-3073.343] (-3102.940) (-3095.655) * (-3100.893) [-3085.604] (-3082.882) (-3098.169) -- 0:12:48
Average standard deviation of split frequencies: 0.014527
256000 -- (-3087.839) (-3096.191) [-3076.931] (-3100.463) * [-3087.188] (-3087.556) (-3093.559) (-3098.501) -- 0:12:47
257000 -- (-3095.588) (-3095.807) [-3071.883] (-3091.549) * [-3078.697] (-3086.498) (-3111.623) (-3088.822) -- 0:12:46
258000 -- (-3092.178) (-3090.736) [-3077.239] (-3090.070) * [-3080.725] (-3105.589) (-3110.752) (-3079.850) -- 0:12:45
259000 -- (-3097.325) (-3087.477) [-3076.442] (-3094.099) * (-3085.400) (-3099.234) [-3082.694] (-3093.783) -- 0:12:43
260000 -- (-3085.598) (-3094.135) [-3075.091] (-3114.294) * [-3085.578] (-3086.635) (-3083.147) (-3119.289) -- 0:12:42
Average standard deviation of split frequencies: 0.015278
261000 -- [-3083.096] (-3083.931) (-3082.747) (-3113.953) * (-3090.357) [-3083.055] (-3080.257) (-3097.269) -- 0:12:41
262000 -- (-3100.548) (-3085.865) [-3086.019] (-3099.407) * (-3100.432) (-3083.786) [-3080.375] (-3104.887) -- 0:12:40
263000 -- (-3100.657) [-3075.535] (-3082.501) (-3086.131) * (-3091.655) (-3088.049) [-3081.487] (-3097.424) -- 0:12:39
264000 -- [-3078.683] (-3082.808) (-3092.043) (-3103.414) * (-3085.197) (-3094.897) (-3094.172) [-3080.556] -- 0:12:38
265000 -- (-3087.263) (-3090.533) (-3086.660) [-3087.823] * (-3096.844) (-3079.232) [-3093.812] (-3084.874) -- 0:12:37
Average standard deviation of split frequencies: 0.015583
266000 -- (-3091.917) [-3086.681] (-3078.491) (-3113.450) * (-3096.893) (-3091.790) [-3095.934] (-3082.862) -- 0:12:36
267000 -- (-3092.019) (-3106.693) [-3083.409] (-3087.582) * (-3093.052) (-3080.411) [-3088.326] (-3097.285) -- 0:12:34
268000 -- (-3085.534) (-3080.135) [-3091.149] (-3085.308) * (-3089.885) (-3073.833) [-3086.981] (-3088.410) -- 0:12:33
269000 -- (-3095.865) [-3082.401] (-3096.694) (-3088.262) * [-3088.807] (-3088.599) (-3105.386) (-3083.230) -- 0:12:32
270000 -- (-3090.403) [-3087.715] (-3082.743) (-3096.590) * (-3090.580) (-3080.907) [-3075.031] (-3099.816) -- 0:12:31
Average standard deviation of split frequencies: 0.015861
271000 -- (-3089.126) [-3075.009] (-3085.478) (-3099.981) * (-3078.839) (-3090.531) [-3084.093] (-3091.063) -- 0:12:30
272000 -- (-3095.502) [-3078.705] (-3077.319) (-3108.017) * (-3085.666) [-3086.465] (-3103.483) (-3107.897) -- 0:12:29
273000 -- (-3096.718) (-3094.081) [-3087.088] (-3091.870) * (-3092.838) [-3082.677] (-3106.387) (-3087.685) -- 0:12:28
274000 -- [-3088.139] (-3092.868) (-3085.343) (-3098.986) * (-3101.840) [-3083.540] (-3110.486) (-3092.573) -- 0:12:27
275000 -- (-3095.668) [-3080.741] (-3081.494) (-3089.602) * (-3085.697) (-3086.831) [-3094.120] (-3094.444) -- 0:12:26
Average standard deviation of split frequencies: 0.014312
276000 -- (-3097.879) (-3099.008) [-3080.368] (-3084.253) * (-3083.883) (-3099.670) (-3084.991) [-3078.200] -- 0:12:27
277000 -- (-3099.527) (-3094.954) (-3086.905) [-3084.384] * [-3081.342] (-3099.957) (-3100.524) (-3084.555) -- 0:12:26
278000 -- (-3087.699) (-3099.725) (-3076.710) [-3077.435] * (-3088.629) (-3107.570) [-3087.787] (-3087.532) -- 0:12:25
279000 -- (-3076.247) (-3099.424) (-3099.333) [-3074.635] * (-3089.999) (-3091.406) (-3094.562) [-3085.006] -- 0:12:24
280000 -- (-3091.107) [-3081.844] (-3096.357) (-3086.328) * (-3092.373) [-3073.836] (-3115.359) (-3084.949) -- 0:12:23
Average standard deviation of split frequencies: 0.015290
281000 -- [-3096.965] (-3085.648) (-3092.599) (-3095.700) * (-3087.314) (-3072.983) [-3080.573] (-3108.855) -- 0:12:22
282000 -- (-3087.603) (-3098.078) (-3092.164) [-3091.349] * (-3094.844) [-3087.019] (-3091.845) (-3094.849) -- 0:12:20
283000 -- (-3088.175) (-3111.443) [-3074.624] (-3090.122) * (-3091.801) (-3086.751) (-3088.683) [-3095.269] -- 0:12:19
284000 -- (-3086.144) (-3103.881) [-3073.272] (-3088.328) * (-3084.103) (-3095.701) [-3069.459] (-3094.561) -- 0:12:18
285000 -- (-3085.596) (-3102.580) [-3074.134] (-3082.595) * [-3099.316] (-3095.787) (-3077.002) (-3107.418) -- 0:12:17
Average standard deviation of split frequencies: 0.014323
286000 -- (-3087.790) (-3096.830) [-3085.145] (-3089.813) * (-3086.186) (-3084.923) [-3088.424] (-3099.460) -- 0:12:16
287000 -- (-3114.061) (-3096.312) [-3085.332] (-3088.244) * (-3088.385) [-3091.420] (-3102.156) (-3102.220) -- 0:12:15
288000 -- (-3083.629) [-3084.901] (-3081.149) (-3114.755) * (-3090.753) (-3081.138) [-3080.794] (-3090.243) -- 0:12:14
289000 -- (-3095.819) (-3086.262) (-3078.691) [-3082.959] * (-3098.371) (-3084.834) (-3081.130) [-3088.772] -- 0:12:13
290000 -- [-3085.153] (-3089.547) (-3101.601) (-3096.745) * (-3089.743) [-3073.808] (-3087.217) (-3088.397) -- 0:12:12
Average standard deviation of split frequencies: 0.015323
291000 -- [-3078.162] (-3095.331) (-3086.530) (-3091.864) * (-3094.931) (-3079.627) [-3107.238] (-3092.908) -- 0:12:10
292000 -- [-3086.374] (-3092.660) (-3102.787) (-3097.175) * (-3087.197) (-3091.335) (-3103.206) [-3097.724] -- 0:12:09
293000 -- (-3100.975) (-3086.258) (-3091.389) [-3089.417] * [-3081.087] (-3097.162) (-3091.461) (-3093.522) -- 0:12:08
294000 -- (-3096.991) (-3117.440) [-3086.078] (-3086.472) * [-3088.423] (-3085.942) (-3086.592) (-3083.620) -- 0:12:07
295000 -- [-3090.851] (-3103.332) (-3090.890) (-3082.260) * (-3089.638) (-3095.383) [-3090.305] (-3078.650) -- 0:12:06
Average standard deviation of split frequencies: 0.015277
296000 -- (-3085.170) (-3093.121) [-3091.436] (-3097.904) * (-3099.011) [-3080.249] (-3101.330) (-3092.610) -- 0:12:05
297000 -- (-3080.192) (-3086.033) [-3085.323] (-3105.091) * [-3088.524] (-3087.079) (-3094.564) (-3100.285) -- 0:12:04
298000 -- [-3084.112] (-3104.591) (-3095.669) (-3100.653) * (-3076.712) [-3092.359] (-3089.413) (-3111.396) -- 0:12:03
299000 -- [-3086.749] (-3089.603) (-3094.011) (-3094.209) * [-3082.226] (-3105.403) (-3096.888) (-3098.117) -- 0:12:02
300000 -- [-3071.823] (-3089.528) (-3080.409) (-3105.119) * (-3086.274) (-3093.954) (-3082.060) [-3096.713] -- 0:12:01
Average standard deviation of split frequencies: 0.014866
301000 -- [-3076.389] (-3082.339) (-3089.289) (-3088.171) * (-3089.822) [-3081.732] (-3091.077) (-3104.411) -- 0:11:59
302000 -- (-3094.050) (-3099.831) [-3089.207] (-3106.731) * (-3100.802) (-3090.688) [-3089.386] (-3107.152) -- 0:11:58
303000 -- (-3096.110) (-3104.908) [-3091.146] (-3093.817) * [-3079.727] (-3084.904) (-3100.111) (-3104.276) -- 0:11:57
304000 -- [-3081.758] (-3123.945) (-3097.828) (-3091.701) * (-3099.312) [-3081.195] (-3097.670) (-3092.035) -- 0:11:56
305000 -- (-3086.485) (-3102.572) (-3106.268) [-3095.159] * (-3115.803) [-3086.796] (-3091.859) (-3095.705) -- 0:11:55
Average standard deviation of split frequencies: 0.014835
306000 -- [-3087.038] (-3100.325) (-3102.356) (-3101.165) * (-3094.764) (-3087.463) (-3098.259) [-3086.831] -- 0:11:54
307000 -- [-3089.685] (-3098.497) (-3113.459) (-3095.416) * (-3097.998) [-3079.339] (-3099.319) (-3099.091) -- 0:11:53
308000 -- [-3092.315] (-3092.572) (-3128.160) (-3083.763) * [-3085.026] (-3085.537) (-3080.253) (-3081.237) -- 0:11:52
309000 -- (-3085.062) (-3106.071) [-3080.574] (-3093.758) * [-3083.132] (-3093.706) (-3098.606) (-3086.799) -- 0:11:51
310000 -- (-3096.077) (-3109.178) [-3080.817] (-3087.339) * (-3094.968) (-3082.221) (-3114.240) [-3082.928] -- 0:11:50
Average standard deviation of split frequencies: 0.015174
311000 -- (-3088.277) (-3085.244) [-3077.485] (-3079.992) * (-3100.504) [-3076.080] (-3088.333) (-3089.132) -- 0:11:48
312000 -- (-3101.676) (-3077.726) [-3091.966] (-3090.162) * (-3099.793) [-3073.300] (-3080.310) (-3110.258) -- 0:11:47
313000 -- (-3096.097) [-3087.577] (-3099.294) (-3095.828) * (-3110.625) [-3082.211] (-3089.853) (-3084.088) -- 0:11:46
314000 -- (-3102.581) [-3077.889] (-3081.570) (-3099.518) * (-3106.284) [-3079.000] (-3092.990) (-3093.052) -- 0:11:45
315000 -- (-3086.176) (-3082.856) [-3084.213] (-3105.961) * (-3082.666) [-3081.814] (-3092.196) (-3084.520) -- 0:11:44
Average standard deviation of split frequencies: 0.014476
316000 -- (-3088.210) (-3093.958) (-3080.347) [-3101.820] * (-3110.086) [-3081.036] (-3099.339) (-3112.228) -- 0:11:45
317000 -- (-3092.376) (-3083.875) [-3078.789] (-3089.275) * (-3082.606) [-3070.440] (-3097.753) (-3080.208) -- 0:11:44
318000 -- [-3098.804] (-3082.531) (-3093.461) (-3095.112) * [-3077.436] (-3086.277) (-3077.678) (-3088.578) -- 0:11:43
319000 -- [-3086.116] (-3091.668) (-3099.201) (-3100.161) * (-3098.179) (-3078.275) [-3093.903] (-3096.129) -- 0:11:42
320000 -- (-3097.372) [-3085.862] (-3081.454) (-3092.647) * (-3092.064) (-3087.546) [-3084.918] (-3092.434) -- 0:11:41
Average standard deviation of split frequencies: 0.014864
321000 -- [-3079.328] (-3078.010) (-3107.918) (-3114.933) * (-3082.622) (-3084.520) [-3087.914] (-3095.850) -- 0:11:40
322000 -- (-3116.089) (-3088.615) (-3091.488) [-3081.577] * [-3070.366] (-3099.551) (-3082.427) (-3087.709) -- 0:11:39
323000 -- (-3099.066) (-3105.770) [-3076.559] (-3085.119) * (-3092.710) [-3087.010] (-3096.807) (-3093.080) -- 0:11:37
324000 -- (-3090.369) (-3083.971) [-3081.088] (-3100.386) * [-3079.682] (-3092.535) (-3081.842) (-3082.735) -- 0:11:36
325000 -- (-3085.863) (-3090.441) [-3074.729] (-3086.224) * [-3086.305] (-3092.408) (-3086.513) (-3091.709) -- 0:11:35
Average standard deviation of split frequencies: 0.013550
326000 -- (-3104.432) (-3098.169) [-3094.521] (-3092.747) * (-3091.922) (-3080.955) [-3082.755] (-3092.419) -- 0:11:34
327000 -- (-3120.616) (-3087.519) [-3096.460] (-3096.821) * (-3102.956) (-3077.876) [-3088.451] (-3081.403) -- 0:11:33
328000 -- [-3089.853] (-3093.408) (-3100.479) (-3112.598) * (-3077.635) (-3078.779) [-3083.279] (-3108.521) -- 0:11:32
329000 -- (-3106.009) (-3100.003) [-3092.492] (-3088.979) * (-3100.902) (-3084.806) [-3094.229] (-3093.406) -- 0:11:31
330000 -- (-3108.182) [-3097.051] (-3089.313) (-3117.060) * (-3089.451) [-3096.418] (-3091.052) (-3087.191) -- 0:11:30
Average standard deviation of split frequencies: 0.013464
331000 -- (-3102.542) (-3086.902) (-3083.760) [-3086.634] * [-3080.016] (-3090.184) (-3089.603) (-3096.493) -- 0:11:29
332000 -- (-3101.084) [-3086.466] (-3095.094) (-3090.553) * [-3070.721] (-3084.390) (-3085.734) (-3096.356) -- 0:11:28
333000 -- (-3084.606) (-3085.025) (-3088.914) [-3088.592] * (-3089.713) [-3098.762] (-3101.052) (-3103.356) -- 0:11:27
334000 -- [-3079.379] (-3103.470) (-3094.984) (-3090.947) * (-3089.648) (-3094.261) [-3082.127] (-3096.679) -- 0:11:25
335000 -- [-3084.593] (-3105.542) (-3082.528) (-3113.183) * (-3084.754) [-3079.487] (-3082.477) (-3082.648) -- 0:11:24
Average standard deviation of split frequencies: 0.012835
336000 -- [-3083.140] (-3100.669) (-3089.763) (-3105.191) * (-3094.944) (-3091.550) [-3089.995] (-3087.930) -- 0:11:23
337000 -- [-3081.967] (-3095.835) (-3096.532) (-3090.355) * (-3092.629) (-3085.196) [-3077.243] (-3092.716) -- 0:11:22
338000 -- (-3109.174) (-3088.306) [-3084.501] (-3098.398) * (-3094.462) (-3101.387) [-3092.388] (-3095.476) -- 0:11:21
339000 -- (-3097.977) [-3079.881] (-3083.964) (-3093.880) * [-3078.711] (-3082.286) (-3097.911) (-3089.150) -- 0:11:20
340000 -- (-3095.805) (-3075.619) [-3084.514] (-3091.961) * (-3094.812) [-3089.056] (-3094.354) (-3092.556) -- 0:11:19
Average standard deviation of split frequencies: 0.012146
341000 -- (-3094.387) (-3079.158) (-3099.691) [-3081.753] * (-3087.614) (-3099.159) (-3094.525) [-3092.506] -- 0:11:18
342000 -- (-3087.206) (-3088.079) (-3115.564) [-3094.468] * (-3089.618) (-3098.217) [-3087.189] (-3092.938) -- 0:11:17
343000 -- [-3075.020] (-3097.323) (-3107.519) (-3103.454) * (-3088.186) (-3087.002) [-3075.778] (-3086.292) -- 0:11:16
344000 -- (-3088.511) (-3103.417) (-3090.440) [-3080.800] * (-3089.623) (-3097.123) (-3084.457) [-3079.644] -- 0:11:15
345000 -- (-3088.177) (-3109.686) (-3102.236) [-3083.608] * (-3087.195) (-3108.438) (-3088.056) [-3082.254] -- 0:11:13
Average standard deviation of split frequencies: 0.011556
346000 -- (-3088.333) (-3103.778) (-3098.904) [-3090.373] * (-3087.234) [-3085.160] (-3087.769) (-3091.201) -- 0:11:12
347000 -- (-3096.001) (-3087.600) (-3081.708) [-3073.791] * (-3091.206) (-3094.085) [-3083.228] (-3101.238) -- 0:11:11
348000 -- (-3077.850) (-3103.673) (-3086.667) [-3079.655] * (-3081.090) (-3093.186) [-3085.384] (-3098.076) -- 0:11:10
349000 -- (-3071.886) (-3118.614) [-3075.144] (-3090.181) * [-3083.943] (-3089.184) (-3093.014) (-3082.662) -- 0:11:09
350000 -- [-3079.241] (-3113.747) (-3092.994) (-3090.795) * (-3075.432) [-3077.740] (-3097.048) (-3104.935) -- 0:11:08
Average standard deviation of split frequencies: 0.011750
351000 -- (-3081.769) (-3101.743) (-3105.743) [-3087.794] * (-3086.082) [-3090.285] (-3082.492) (-3091.130) -- 0:11:07
352000 -- (-3086.600) (-3103.643) [-3072.569] (-3089.320) * [-3087.075] (-3077.962) (-3101.889) (-3096.971) -- 0:11:06
353000 -- (-3092.255) [-3078.843] (-3095.218) (-3086.593) * (-3085.404) [-3083.826] (-3098.456) (-3085.252) -- 0:11:05
354000 -- (-3096.343) (-3079.896) (-3082.552) [-3071.271] * (-3077.405) [-3079.587] (-3108.330) (-3084.344) -- 0:11:04
355000 -- (-3082.326) [-3078.517] (-3093.649) (-3100.567) * (-3100.587) (-3097.756) (-3098.641) [-3078.371] -- 0:11:03
Average standard deviation of split frequencies: 0.011819
356000 -- (-3082.465) [-3095.568] (-3097.829) (-3088.257) * (-3095.277) (-3084.523) (-3091.083) [-3078.393] -- 0:11:02
357000 -- (-3098.200) (-3095.236) (-3091.867) [-3072.563] * (-3086.192) (-3083.190) [-3079.310] (-3098.392) -- 0:11:01
358000 -- (-3094.289) (-3100.206) [-3083.052] (-3078.266) * (-3092.289) [-3081.840] (-3094.634) (-3091.176) -- 0:10:59
359000 -- (-3093.056) [-3085.807] (-3081.378) (-3085.330) * (-3107.468) (-3096.173) [-3089.370] (-3093.037) -- 0:10:58
360000 -- (-3104.024) [-3082.295] (-3081.939) (-3086.687) * (-3107.664) (-3094.621) (-3118.270) [-3084.415] -- 0:10:59
Average standard deviation of split frequencies: 0.011473
361000 -- (-3082.376) (-3100.436) [-3078.455] (-3084.349) * (-3098.757) [-3091.352] (-3113.415) (-3085.496) -- 0:10:58
362000 -- [-3094.263] (-3102.610) (-3076.427) (-3080.683) * [-3087.796] (-3093.922) (-3100.156) (-3092.528) -- 0:10:57
363000 -- [-3084.542] (-3107.078) (-3076.547) (-3096.961) * [-3084.602] (-3088.030) (-3088.936) (-3096.367) -- 0:10:56
364000 -- [-3095.597] (-3094.016) (-3084.903) (-3088.757) * [-3078.846] (-3086.456) (-3085.756) (-3114.744) -- 0:10:55
365000 -- (-3093.582) (-3100.258) [-3071.565] (-3110.203) * [-3077.524] (-3091.366) (-3084.681) (-3101.042) -- 0:10:54
Average standard deviation of split frequencies: 0.011497
366000 -- (-3083.879) (-3097.181) (-3092.974) [-3080.807] * [-3086.597] (-3097.975) (-3088.052) (-3105.176) -- 0:10:53
367000 -- [-3073.807] (-3086.311) (-3095.672) (-3081.930) * (-3093.644) (-3096.241) [-3084.453] (-3089.966) -- 0:10:51
368000 -- (-3080.683) (-3088.305) [-3093.013] (-3088.418) * (-3098.507) [-3078.803] (-3090.037) (-3101.303) -- 0:10:50
369000 -- (-3094.620) (-3085.631) (-3076.303) [-3082.543] * (-3080.934) (-3085.546) [-3099.841] (-3086.745) -- 0:10:49
370000 -- (-3089.857) [-3098.562] (-3098.317) (-3081.781) * (-3085.046) [-3084.591] (-3114.676) (-3071.633) -- 0:10:48
Average standard deviation of split frequencies: 0.011305
371000 -- (-3083.563) [-3095.135] (-3104.278) (-3092.513) * [-3079.146] (-3092.357) (-3102.094) (-3083.303) -- 0:10:47
372000 -- (-3085.148) (-3088.767) (-3116.742) [-3090.670] * (-3101.153) [-3085.961] (-3094.207) (-3095.891) -- 0:10:46
373000 -- [-3084.704] (-3093.840) (-3088.435) (-3095.848) * (-3093.853) (-3076.859) (-3088.855) [-3084.343] -- 0:10:45
374000 -- (-3093.929) (-3096.440) (-3095.462) [-3086.067] * (-3100.593) (-3085.786) (-3097.885) [-3070.964] -- 0:10:44
375000 -- (-3084.292) [-3082.186] (-3101.111) (-3079.747) * (-3096.586) (-3086.041) (-3104.667) [-3091.656] -- 0:10:43
Average standard deviation of split frequencies: 0.010959
376000 -- (-3084.555) [-3099.159] (-3106.837) (-3088.573) * [-3087.737] (-3093.975) (-3100.649) (-3080.597) -- 0:10:42
377000 -- (-3086.621) (-3089.142) (-3092.329) [-3079.230] * [-3091.754] (-3110.700) (-3082.289) (-3089.765) -- 0:10:41
378000 -- (-3085.531) (-3090.552) (-3099.559) [-3089.293] * (-3098.659) (-3104.321) (-3080.573) [-3087.129] -- 0:10:40
379000 -- (-3079.458) (-3108.808) (-3098.635) [-3085.723] * [-3083.268] (-3087.422) (-3101.423) (-3098.168) -- 0:10:39
380000 -- (-3086.731) (-3098.900) (-3085.552) [-3091.992] * [-3081.893] (-3078.667) (-3102.652) (-3087.970) -- 0:10:37
Average standard deviation of split frequencies: 0.009678
381000 -- [-3085.918] (-3089.213) (-3107.350) (-3084.005) * (-3093.531) [-3091.929] (-3099.721) (-3086.117) -- 0:10:36
382000 -- (-3100.314) [-3091.994] (-3106.684) (-3089.448) * [-3073.798] (-3079.104) (-3099.241) (-3086.371) -- 0:10:37
383000 -- (-3099.906) (-3081.051) (-3099.292) [-3086.217] * (-3094.268) (-3095.202) [-3081.504] (-3102.765) -- 0:10:36
384000 -- (-3091.722) (-3087.163) [-3081.214] (-3093.036) * (-3100.093) (-3099.848) [-3080.502] (-3090.008) -- 0:10:35
385000 -- (-3085.674) [-3089.108] (-3103.314) (-3105.891) * (-3101.811) (-3087.633) [-3085.229] (-3092.686) -- 0:10:34
Average standard deviation of split frequencies: 0.009996
386000 -- (-3093.603) (-3093.318) (-3091.984) [-3079.560] * (-3104.196) [-3085.253] (-3101.948) (-3073.604) -- 0:10:33
387000 -- [-3089.710] (-3112.024) (-3083.972) (-3076.148) * (-3085.022) (-3090.296) (-3100.754) [-3092.031] -- 0:10:32
388000 -- (-3082.083) (-3087.515) (-3103.405) [-3074.619] * (-3089.791) (-3092.848) [-3087.544] (-3092.629) -- 0:10:30
389000 -- (-3102.794) (-3097.724) (-3091.721) [-3076.415] * (-3082.411) (-3096.717) [-3076.306] (-3089.729) -- 0:10:29
390000 -- (-3087.870) (-3095.150) (-3085.531) [-3077.678] * (-3076.929) (-3086.348) [-3088.336] (-3089.395) -- 0:10:28
Average standard deviation of split frequencies: 0.009385
391000 -- (-3080.217) (-3086.437) (-3090.243) [-3084.718] * (-3087.554) (-3104.821) (-3092.060) [-3094.088] -- 0:10:27
392000 -- (-3074.462) [-3076.531] (-3089.888) (-3095.621) * [-3080.834] (-3095.426) (-3090.577) (-3098.318) -- 0:10:26
393000 -- [-3087.851] (-3086.832) (-3088.114) (-3090.253) * (-3087.747) [-3087.734] (-3097.378) (-3098.324) -- 0:10:25
394000 -- (-3077.689) [-3083.153] (-3098.807) (-3085.405) * (-3099.510) [-3086.708] (-3092.591) (-3080.630) -- 0:10:24
395000 -- (-3096.713) [-3093.507] (-3098.461) (-3097.808) * (-3080.978) [-3086.511] (-3103.469) (-3100.903) -- 0:10:23
Average standard deviation of split frequencies: 0.010185
396000 -- (-3106.453) (-3074.496) [-3083.736] (-3101.061) * (-3079.946) (-3094.444) [-3087.613] (-3107.983) -- 0:10:22
397000 -- (-3103.986) (-3084.727) [-3078.060] (-3091.531) * (-3082.929) [-3082.910] (-3098.064) (-3101.801) -- 0:10:21
398000 -- (-3094.687) [-3084.564] (-3089.106) (-3089.047) * [-3071.042] (-3092.617) (-3121.020) (-3089.359) -- 0:10:20
399000 -- (-3080.972) (-3093.548) (-3076.821) [-3083.064] * (-3091.609) (-3093.753) (-3103.442) [-3087.066] -- 0:10:19
400000 -- (-3087.692) (-3100.933) (-3095.632) [-3075.789] * (-3093.281) (-3104.216) (-3104.860) [-3081.787] -- 0:10:18
Average standard deviation of split frequencies: 0.009935
401000 -- (-3104.727) (-3110.461) (-3092.855) [-3080.710] * (-3101.066) (-3101.014) (-3111.556) [-3083.412] -- 0:10:16
402000 -- (-3108.734) (-3097.839) (-3074.371) [-3084.885] * (-3091.217) (-3090.438) (-3092.029) [-3080.902] -- 0:10:15
403000 -- [-3085.028] (-3085.351) (-3084.024) (-3096.292) * (-3093.480) (-3098.937) (-3109.011) [-3082.749] -- 0:10:14
404000 -- (-3085.109) (-3090.747) [-3083.180] (-3097.202) * (-3086.524) [-3089.106] (-3107.159) (-3092.189) -- 0:10:13
405000 -- (-3087.606) (-3096.457) [-3089.565] (-3096.130) * (-3086.155) (-3088.871) (-3096.746) [-3078.914] -- 0:10:12
Average standard deviation of split frequencies: 0.009848
406000 -- (-3107.740) (-3088.926) (-3104.649) [-3088.656] * (-3096.637) (-3100.408) (-3103.455) [-3085.233] -- 0:10:11
407000 -- (-3093.348) (-3080.029) [-3094.828] (-3087.363) * (-3089.461) (-3111.075) (-3084.313) [-3084.943] -- 0:10:10
408000 -- (-3105.454) [-3090.817] (-3115.104) (-3086.485) * (-3113.298) (-3100.267) [-3088.279] (-3096.850) -- 0:10:09
409000 -- (-3087.510) [-3090.915] (-3085.084) (-3089.159) * (-3084.766) (-3086.727) [-3073.829] (-3085.136) -- 0:10:08
410000 -- [-3086.739] (-3090.757) (-3088.299) (-3083.484) * (-3089.615) (-3093.900) (-3076.035) [-3079.522] -- 0:10:07
Average standard deviation of split frequencies: 0.009353
411000 -- (-3082.008) (-3097.737) (-3094.310) [-3076.637] * (-3088.258) (-3084.228) (-3085.402) [-3084.451] -- 0:10:06
412000 -- (-3106.771) [-3085.168] (-3091.165) (-3098.883) * (-3086.810) (-3084.226) [-3086.467] (-3088.683) -- 0:10:05
413000 -- (-3093.612) (-3083.594) (-3102.047) [-3087.693] * (-3101.445) (-3088.696) [-3077.228] (-3095.396) -- 0:10:04
414000 -- [-3084.943] (-3084.585) (-3099.280) (-3098.537) * [-3086.778] (-3099.696) (-3088.310) (-3094.746) -- 0:10:02
415000 -- (-3076.891) [-3105.749] (-3089.697) (-3099.280) * (-3093.109) [-3080.530] (-3093.062) (-3086.272) -- 0:10:01
Average standard deviation of split frequencies: 0.009443
416000 -- [-3078.686] (-3092.878) (-3103.877) (-3095.571) * [-3092.777] (-3088.509) (-3085.825) (-3100.847) -- 0:10:00
417000 -- (-3083.379) (-3086.393) (-3104.125) [-3079.313] * (-3089.805) [-3093.514] (-3095.514) (-3088.214) -- 0:09:59
418000 -- [-3101.726] (-3088.725) (-3106.754) (-3101.922) * (-3090.672) [-3076.835] (-3088.803) (-3116.008) -- 0:09:58
419000 -- (-3084.368) [-3085.351] (-3099.043) (-3089.518) * [-3086.414] (-3089.096) (-3091.653) (-3103.668) -- 0:09:57
420000 -- (-3105.911) [-3082.325] (-3114.023) (-3096.155) * (-3092.390) (-3074.451) [-3085.691] (-3087.622) -- 0:09:56
Average standard deviation of split frequencies: 0.009670
421000 -- (-3096.561) [-3089.680] (-3112.131) (-3086.882) * (-3081.268) [-3088.235] (-3095.673) (-3090.569) -- 0:09:55
422000 -- (-3108.694) (-3098.918) (-3104.380) [-3078.624] * (-3101.933) [-3079.985] (-3110.115) (-3086.088) -- 0:09:54
423000 -- (-3109.438) (-3087.457) (-3100.513) [-3089.744] * (-3096.091) (-3096.157) [-3079.972] (-3105.883) -- 0:09:53
424000 -- (-3089.787) (-3076.358) (-3092.201) [-3096.296] * (-3085.129) (-3102.761) [-3085.571] (-3097.238) -- 0:09:52
425000 -- (-3089.139) [-3085.567] (-3102.311) (-3087.554) * (-3084.995) [-3087.897] (-3108.310) (-3088.166) -- 0:09:51
Average standard deviation of split frequencies: 0.010410
426000 -- (-3081.621) [-3078.904] (-3097.126) (-3108.165) * [-3092.072] (-3084.654) (-3115.927) (-3099.350) -- 0:09:50
427000 -- [-3084.951] (-3091.694) (-3092.146) (-3087.968) * [-3076.509] (-3108.627) (-3092.547) (-3085.317) -- 0:09:49
428000 -- [-3081.385] (-3097.642) (-3098.423) (-3096.730) * (-3102.513) (-3089.278) (-3100.815) [-3074.361] -- 0:09:48
429000 -- [-3079.161] (-3087.383) (-3098.411) (-3086.041) * (-3079.076) (-3088.482) (-3085.623) [-3087.136] -- 0:09:48
430000 -- [-3089.352] (-3093.272) (-3101.301) (-3081.366) * [-3077.083] (-3096.838) (-3105.877) (-3080.243) -- 0:09:47
Average standard deviation of split frequencies: 0.009649
431000 -- (-3082.907) (-3091.122) (-3091.598) [-3085.295] * [-3078.976] (-3099.646) (-3102.154) (-3093.573) -- 0:09:46
432000 -- [-3072.542] (-3115.368) (-3088.629) (-3074.429) * (-3083.327) [-3088.704] (-3095.726) (-3080.668) -- 0:09:45
433000 -- (-3095.415) [-3084.526] (-3093.466) (-3094.254) * [-3089.609] (-3083.720) (-3106.330) (-3100.172) -- 0:09:44
434000 -- (-3090.824) [-3086.627] (-3089.286) (-3082.850) * (-3087.002) [-3081.730] (-3094.735) (-3083.806) -- 0:09:42
435000 -- [-3088.847] (-3098.607) (-3084.862) (-3089.799) * (-3097.200) (-3086.574) (-3103.077) [-3083.867] -- 0:09:41
Average standard deviation of split frequencies: 0.009370
436000 -- [-3088.361] (-3104.793) (-3077.403) (-3094.298) * [-3085.336] (-3096.949) (-3084.150) (-3082.197) -- 0:09:40
437000 -- (-3098.842) (-3084.127) [-3085.106] (-3109.521) * (-3094.959) (-3090.481) [-3068.930] (-3098.347) -- 0:09:39
438000 -- (-3100.503) (-3092.081) (-3097.734) [-3083.100] * (-3101.038) [-3087.888] (-3073.537) (-3089.562) -- 0:09:38
439000 -- [-3081.594] (-3095.011) (-3098.761) (-3087.952) * (-3105.294) (-3104.229) (-3085.407) [-3077.681] -- 0:09:37
440000 -- (-3085.198) [-3073.094] (-3088.815) (-3095.233) * (-3104.402) (-3093.612) (-3091.057) [-3081.535] -- 0:09:36
Average standard deviation of split frequencies: 0.009192
441000 -- (-3083.643) [-3085.120] (-3087.264) (-3107.100) * (-3098.521) (-3091.561) (-3096.828) [-3082.565] -- 0:09:35
442000 -- (-3092.726) (-3090.993) [-3086.229] (-3089.131) * (-3105.685) (-3098.705) [-3090.025] (-3083.164) -- 0:09:34
443000 -- [-3089.583] (-3094.837) (-3075.214) (-3101.022) * (-3086.536) (-3104.086) (-3094.847) [-3080.364] -- 0:09:33
444000 -- (-3091.663) (-3103.625) (-3088.909) [-3091.165] * (-3100.647) (-3097.058) (-3084.073) [-3093.300] -- 0:09:32
445000 -- (-3081.454) (-3104.675) [-3095.730] (-3096.655) * (-3095.707) [-3086.276] (-3097.060) (-3097.300) -- 0:09:31
Average standard deviation of split frequencies: 0.008847
446000 -- [-3074.669] (-3078.847) (-3098.672) (-3111.438) * (-3090.588) (-3091.274) [-3090.919] (-3103.991) -- 0:09:30
447000 -- [-3085.319] (-3084.795) (-3110.045) (-3103.989) * (-3086.909) (-3085.585) [-3079.110] (-3099.469) -- 0:09:29
448000 -- (-3095.649) (-3081.391) [-3082.876] (-3105.347) * (-3087.009) (-3088.376) [-3076.264] (-3101.577) -- 0:09:28
449000 -- (-3111.754) (-3082.430) (-3100.119) [-3083.946] * (-3088.681) [-3083.720] (-3090.704) (-3098.003) -- 0:09:26
450000 -- (-3104.980) (-3102.212) (-3084.006) [-3082.303] * (-3083.491) [-3077.625] (-3087.445) (-3097.858) -- 0:09:25
Average standard deviation of split frequencies: 0.008794
451000 -- (-3075.744) (-3087.065) (-3081.569) [-3081.536] * (-3106.505) [-3084.961] (-3091.851) (-3095.783) -- 0:09:24
452000 -- (-3092.253) (-3098.236) [-3076.681] (-3075.366) * [-3083.050] (-3089.844) (-3087.291) (-3096.790) -- 0:09:23
453000 -- (-3088.440) (-3096.991) (-3088.518) [-3077.937] * (-3093.785) (-3091.180) [-3074.605] (-3085.135) -- 0:09:22
454000 -- (-3093.104) (-3097.027) (-3082.467) [-3072.736] * [-3089.884] (-3092.043) (-3093.174) (-3092.360) -- 0:09:21
455000 -- (-3096.082) (-3092.650) (-3095.042) [-3078.185] * (-3083.175) [-3095.754] (-3088.510) (-3087.310) -- 0:09:20
Average standard deviation of split frequencies: 0.008883
456000 -- (-3091.436) [-3092.009] (-3098.383) (-3094.875) * (-3091.776) (-3083.024) [-3078.660] (-3080.545) -- 0:09:20
457000 -- (-3082.772) (-3096.069) [-3085.180] (-3087.285) * (-3101.427) (-3084.307) [-3080.961] (-3084.099) -- 0:09:19
458000 -- (-3092.977) (-3092.941) [-3098.210] (-3081.606) * (-3083.590) (-3103.852) (-3083.915) [-3078.918] -- 0:09:18
459000 -- (-3083.605) (-3105.628) (-3118.641) [-3082.874] * (-3099.913) (-3087.461) (-3084.259) [-3088.917] -- 0:09:17
460000 -- [-3078.910] (-3094.960) (-3102.720) (-3095.673) * (-3094.022) (-3081.949) [-3078.435] (-3091.180) -- 0:09:16
Average standard deviation of split frequencies: 0.009323
461000 -- (-3090.086) (-3099.854) (-3110.007) [-3073.201] * (-3093.731) (-3088.532) [-3088.966] (-3103.830) -- 0:09:15
462000 -- (-3091.067) (-3101.627) [-3086.656] (-3092.328) * (-3083.845) [-3077.651] (-3082.872) (-3102.829) -- 0:09:14
463000 -- [-3090.654] (-3095.281) (-3084.182) (-3102.446) * (-3095.233) [-3076.157] (-3093.089) (-3108.446) -- 0:09:13
464000 -- (-3091.320) (-3095.702) [-3081.608] (-3093.882) * [-3086.811] (-3090.594) (-3088.111) (-3099.333) -- 0:09:12
465000 -- (-3086.219) (-3087.569) [-3084.481] (-3085.070) * (-3091.734) (-3091.574) (-3086.399) [-3094.383] -- 0:09:11
Average standard deviation of split frequencies: 0.009367
466000 -- [-3086.754] (-3079.132) (-3099.896) (-3097.309) * (-3098.740) (-3102.721) [-3073.908] (-3105.337) -- 0:09:10
467000 -- (-3096.419) [-3085.246] (-3084.017) (-3106.985) * (-3102.709) (-3078.739) (-3081.849) [-3082.534] -- 0:09:08
468000 -- (-3105.371) (-3085.357) [-3083.072] (-3100.103) * (-3083.382) [-3084.469] (-3108.284) (-3085.765) -- 0:09:07
469000 -- (-3094.208) (-3094.847) [-3073.923] (-3092.388) * [-3089.619] (-3086.621) (-3099.358) (-3107.528) -- 0:09:06
470000 -- (-3091.388) (-3080.394) (-3097.008) [-3084.358] * (-3090.626) [-3070.354] (-3099.746) (-3098.524) -- 0:09:05
Average standard deviation of split frequencies: 0.009645
471000 -- [-3084.270] (-3095.124) (-3083.377) (-3096.425) * (-3090.852) [-3089.818] (-3101.668) (-3097.822) -- 0:09:04
472000 -- [-3082.721] (-3104.915) (-3087.228) (-3080.083) * [-3079.482] (-3094.710) (-3100.063) (-3086.922) -- 0:09:03
473000 -- (-3095.075) (-3093.009) (-3095.552) [-3083.543] * (-3089.386) (-3083.568) (-3094.156) [-3086.290] -- 0:09:02
474000 -- [-3089.134] (-3085.682) (-3099.935) (-3080.618) * (-3086.530) [-3079.611] (-3088.455) (-3085.838) -- 0:09:01
475000 -- (-3103.935) (-3077.982) (-3117.261) [-3083.313] * [-3086.169] (-3093.441) (-3083.754) (-3076.959) -- 0:09:00
Average standard deviation of split frequencies: 0.009463
476000 -- (-3088.246) [-3081.910] (-3093.241) (-3086.692) * (-3082.518) (-3088.685) [-3096.409] (-3128.528) -- 0:08:59
477000 -- (-3090.699) [-3098.297] (-3097.850) (-3082.592) * (-3093.552) (-3080.309) (-3093.123) [-3092.849] -- 0:08:58
478000 -- (-3082.769) (-3096.657) [-3085.397] (-3085.962) * (-3087.896) (-3105.478) [-3076.152] (-3106.504) -- 0:08:57
479000 -- [-3094.418] (-3095.177) (-3087.035) (-3101.918) * [-3075.194] (-3126.335) (-3087.106) (-3087.148) -- 0:08:56
480000 -- (-3086.984) (-3101.533) [-3077.720] (-3082.573) * (-3090.803) (-3087.602) [-3088.134] (-3110.458) -- 0:08:55
Average standard deviation of split frequencies: 0.008972
481000 -- (-3098.378) (-3107.435) (-3081.405) [-3079.758] * [-3075.391] (-3095.146) (-3095.415) (-3091.037) -- 0:08:54
482000 -- (-3088.010) [-3082.183] (-3092.850) (-3105.318) * (-3088.547) (-3088.517) [-3079.688] (-3089.879) -- 0:08:53
483000 -- (-3082.131) [-3074.720] (-3105.251) (-3104.734) * (-3099.639) (-3086.113) (-3074.312) [-3089.842] -- 0:08:51
484000 -- (-3090.801) [-3083.413] (-3102.016) (-3091.816) * (-3086.715) [-3087.607] (-3088.154) (-3089.613) -- 0:08:50
485000 -- (-3078.486) [-3080.460] (-3101.664) (-3083.825) * (-3096.335) (-3088.554) (-3097.973) [-3082.202] -- 0:08:49
Average standard deviation of split frequencies: 0.008945
486000 -- (-3096.564) (-3085.231) (-3099.255) [-3082.908] * (-3095.606) [-3081.250] (-3105.463) (-3086.226) -- 0:08:48
487000 -- (-3086.607) [-3087.676] (-3093.705) (-3082.097) * [-3086.253] (-3089.312) (-3088.735) (-3103.002) -- 0:08:47
488000 -- (-3095.439) [-3079.626] (-3078.471) (-3080.418) * [-3082.978] (-3116.661) (-3101.335) (-3086.231) -- 0:08:46
489000 -- [-3085.119] (-3081.751) (-3094.307) (-3107.023) * [-3080.888] (-3094.102) (-3076.675) (-3092.835) -- 0:08:45
490000 -- (-3079.366) (-3076.431) [-3091.724] (-3092.737) * [-3083.097] (-3085.502) (-3104.215) (-3079.747) -- 0:08:44
Average standard deviation of split frequencies: 0.009003
491000 -- (-3085.895) [-3081.348] (-3092.600) (-3088.717) * (-3101.591) (-3092.428) (-3101.298) [-3086.762] -- 0:08:43
492000 -- (-3079.844) [-3088.574] (-3111.819) (-3092.553) * (-3096.123) [-3095.185] (-3102.658) (-3096.883) -- 0:08:42
493000 -- (-3088.565) (-3078.817) (-3092.763) [-3077.389] * (-3099.427) [-3091.076] (-3104.494) (-3097.238) -- 0:08:41
494000 -- (-3084.217) [-3077.765] (-3079.551) (-3082.886) * [-3080.218] (-3085.441) (-3079.459) (-3089.013) -- 0:08:40
495000 -- (-3084.705) (-3096.769) [-3080.334] (-3089.626) * (-3094.580) (-3093.001) (-3094.429) [-3092.202] -- 0:08:39
Average standard deviation of split frequencies: 0.009469
496000 -- (-3094.149) (-3090.483) (-3095.579) [-3082.649] * (-3097.668) [-3092.098] (-3081.826) (-3091.621) -- 0:08:38
497000 -- [-3081.266] (-3109.251) (-3095.092) (-3089.399) * [-3091.132] (-3097.263) (-3084.915) (-3079.452) -- 0:08:37
498000 -- [-3087.701] (-3086.196) (-3091.823) (-3117.276) * (-3089.621) (-3097.730) [-3086.505] (-3080.669) -- 0:08:36
499000 -- (-3091.945) [-3080.738] (-3091.934) (-3095.928) * (-3076.613) (-3084.782) [-3094.574] (-3096.438) -- 0:08:35
500000 -- (-3091.452) (-3117.667) (-3084.604) [-3090.937] * [-3076.090] (-3079.573) (-3101.898) (-3086.722) -- 0:08:34
Average standard deviation of split frequencies: 0.008404
501000 -- (-3089.045) (-3100.857) [-3084.837] (-3085.034) * (-3095.762) (-3103.484) (-3094.968) [-3076.753] -- 0:08:32
502000 -- (-3089.209) (-3098.787) [-3085.032] (-3093.152) * (-3101.627) [-3095.673] (-3114.424) (-3101.095) -- 0:08:31
503000 -- (-3097.350) (-3104.154) (-3093.008) [-3084.957] * [-3085.018] (-3100.556) (-3089.508) (-3096.110) -- 0:08:30
504000 -- (-3095.215) (-3083.035) (-3076.574) [-3076.659] * [-3091.348] (-3086.584) (-3095.893) (-3092.279) -- 0:08:29
505000 -- (-3106.402) (-3084.628) [-3093.265] (-3096.617) * [-3082.394] (-3100.691) (-3094.521) (-3086.438) -- 0:08:28
Average standard deviation of split frequencies: 0.008454
506000 -- (-3095.225) (-3069.566) (-3096.765) [-3084.426] * (-3079.198) (-3102.088) (-3089.808) [-3079.224] -- 0:08:28
507000 -- (-3094.526) [-3076.179] (-3106.018) (-3082.286) * [-3081.400] (-3101.631) (-3095.946) (-3085.848) -- 0:08:27
508000 -- [-3074.121] (-3088.555) (-3080.920) (-3094.900) * [-3076.611] (-3107.101) (-3097.381) (-3093.098) -- 0:08:26
509000 -- (-3096.080) (-3093.295) [-3080.575] (-3088.813) * (-3084.868) (-3092.630) (-3101.025) [-3097.066] -- 0:08:25
510000 -- (-3102.096) (-3099.063) [-3072.967] (-3103.575) * (-3083.845) [-3084.107] (-3081.399) (-3095.936) -- 0:08:24
Average standard deviation of split frequencies: 0.008411
511000 -- (-3095.383) (-3088.040) (-3077.129) [-3082.020] * (-3086.339) (-3077.695) (-3095.814) [-3081.848] -- 0:08:23
512000 -- [-3089.760] (-3088.372) (-3081.861) (-3081.294) * (-3095.265) (-3087.177) (-3101.136) [-3087.972] -- 0:08:22
513000 -- [-3087.875] (-3095.753) (-3082.981) (-3104.764) * [-3076.860] (-3098.295) (-3084.661) (-3100.108) -- 0:08:21
514000 -- (-3082.034) (-3093.576) (-3099.795) [-3085.630] * (-3089.608) (-3099.204) [-3081.291] (-3089.408) -- 0:08:20
515000 -- (-3091.970) (-3089.915) [-3079.377] (-3086.048) * (-3099.860) [-3086.094] (-3084.109) (-3097.103) -- 0:08:19
Average standard deviation of split frequencies: 0.008391
516000 -- (-3080.998) (-3105.017) [-3084.648] (-3093.932) * (-3102.523) [-3092.524] (-3099.445) (-3087.382) -- 0:08:18
517000 -- (-3082.578) (-3099.788) (-3095.123) [-3087.057] * (-3100.657) (-3077.526) (-3097.641) [-3094.581] -- 0:08:17
518000 -- (-3079.727) (-3101.510) (-3087.616) [-3082.030] * (-3085.922) [-3084.950] (-3075.285) (-3103.249) -- 0:08:15
519000 -- (-3084.116) (-3097.543) [-3077.780] (-3092.940) * (-3098.582) [-3082.413] (-3083.277) (-3075.346) -- 0:08:14
520000 -- [-3090.404] (-3115.934) (-3078.520) (-3089.835) * (-3092.762) [-3072.475] (-3090.023) (-3093.698) -- 0:08:13
Average standard deviation of split frequencies: 0.008014
521000 -- (-3095.512) (-3109.200) [-3083.046] (-3092.068) * (-3105.639) (-3082.861) (-3084.029) [-3084.789] -- 0:08:12
522000 -- (-3078.726) (-3105.145) [-3092.195] (-3098.193) * (-3103.574) [-3080.787] (-3096.703) (-3087.996) -- 0:08:11
523000 -- [-3073.964] (-3093.612) (-3103.145) (-3104.146) * (-3086.227) [-3086.170] (-3081.054) (-3114.403) -- 0:08:10
524000 -- (-3069.690) [-3095.834] (-3101.905) (-3096.106) * (-3092.845) [-3091.517] (-3082.586) (-3107.065) -- 0:08:09
525000 -- (-3086.080) (-3106.073) (-3092.902) [-3089.784] * (-3084.855) (-3069.124) (-3096.361) [-3081.107] -- 0:08:08
Average standard deviation of split frequencies: 0.008033
526000 -- (-3084.286) (-3107.222) (-3091.203) [-3084.005] * (-3075.531) (-3079.433) [-3085.055] (-3086.996) -- 0:08:07
527000 -- (-3079.088) (-3097.528) (-3098.574) [-3087.082] * (-3082.789) (-3103.233) [-3078.462] (-3109.621) -- 0:08:06
528000 -- (-3079.084) [-3087.406] (-3090.764) (-3091.334) * (-3102.255) (-3081.596) [-3087.480] (-3097.796) -- 0:08:05
529000 -- [-3086.951] (-3097.790) (-3087.655) (-3112.551) * (-3099.870) (-3090.582) [-3099.860] (-3095.271) -- 0:08:04
530000 -- (-3087.163) (-3114.827) [-3079.297] (-3094.547) * (-3092.647) [-3073.772] (-3084.041) (-3083.535) -- 0:08:04
Average standard deviation of split frequencies: 0.008587
531000 -- (-3078.150) (-3110.606) [-3082.989] (-3091.007) * (-3087.514) [-3077.942] (-3101.099) (-3079.491) -- 0:08:03
532000 -- (-3086.116) (-3096.179) [-3077.251] (-3085.368) * (-3081.591) [-3080.184] (-3097.516) (-3095.224) -- 0:08:02
533000 -- (-3084.549) (-3096.712) [-3085.430] (-3095.851) * (-3107.825) [-3086.348] (-3090.611) (-3096.013) -- 0:08:01
534000 -- [-3083.455] (-3104.403) (-3094.096) (-3087.120) * (-3087.227) [-3094.518] (-3095.100) (-3095.090) -- 0:07:59
535000 -- (-3094.492) (-3093.806) [-3076.978] (-3102.922) * [-3077.526] (-3094.519) (-3107.468) (-3092.036) -- 0:07:58
Average standard deviation of split frequencies: 0.008176
536000 -- [-3091.460] (-3091.604) (-3087.340) (-3092.078) * (-3090.080) [-3076.971] (-3102.463) (-3085.829) -- 0:07:57
537000 -- (-3081.747) [-3079.102] (-3090.047) (-3079.002) * (-3089.727) [-3079.912] (-3104.647) (-3100.011) -- 0:07:56
538000 -- (-3090.001) (-3092.177) (-3100.393) [-3083.906] * [-3092.555] (-3095.638) (-3105.887) (-3108.078) -- 0:07:55
539000 -- (-3101.937) (-3088.383) [-3078.070] (-3093.509) * (-3093.035) [-3090.340] (-3091.677) (-3093.518) -- 0:07:54
540000 -- (-3090.829) (-3090.567) [-3080.546] (-3093.154) * (-3081.133) [-3079.620] (-3081.687) (-3086.306) -- 0:07:53
Average standard deviation of split frequencies: 0.008493
541000 -- [-3092.750] (-3088.283) (-3089.499) (-3109.645) * (-3082.081) (-3089.438) [-3080.767] (-3095.000) -- 0:07:52
542000 -- (-3092.080) [-3087.786] (-3087.891) (-3115.688) * (-3090.516) [-3087.243] (-3080.582) (-3089.882) -- 0:07:51
543000 -- [-3091.999] (-3095.113) (-3092.876) (-3098.560) * (-3105.757) [-3084.051] (-3097.196) (-3092.950) -- 0:07:50
544000 -- (-3083.448) [-3085.120] (-3086.647) (-3089.548) * (-3087.840) (-3086.969) [-3078.716] (-3094.493) -- 0:07:49
545000 -- [-3078.255] (-3089.869) (-3102.281) (-3089.593) * (-3097.660) (-3090.323) [-3079.830] (-3086.572) -- 0:07:48
Average standard deviation of split frequencies: 0.008634
546000 -- (-3091.398) (-3094.412) [-3098.250] (-3099.255) * (-3080.354) (-3106.453) [-3069.381] (-3086.513) -- 0:07:47
547000 -- (-3077.293) (-3077.042) [-3086.940] (-3098.366) * [-3088.560] (-3095.302) (-3082.847) (-3105.086) -- 0:07:46
548000 -- (-3098.507) [-3076.470] (-3109.042) (-3097.000) * [-3074.271] (-3096.641) (-3100.351) (-3090.746) -- 0:07:45
549000 -- (-3077.492) (-3077.958) [-3105.426] (-3102.370) * (-3081.639) (-3090.017) [-3094.940] (-3091.981) -- 0:07:44
550000 -- (-3082.922) [-3074.928] (-3088.653) (-3097.061) * (-3089.789) (-3092.110) [-3078.678] (-3089.817) -- 0:07:43
Average standard deviation of split frequencies: 0.008434
551000 -- [-3079.568] (-3072.310) (-3098.854) (-3096.837) * (-3081.237) (-3099.333) (-3099.018) [-3081.862] -- 0:07:42
552000 -- (-3100.147) [-3076.597] (-3075.169) (-3103.683) * (-3094.764) (-3103.522) (-3096.950) [-3103.740] -- 0:07:40
553000 -- [-3086.795] (-3081.680) (-3094.404) (-3101.006) * (-3088.606) (-3097.132) (-3095.983) [-3100.477] -- 0:07:39
554000 -- (-3098.142) (-3089.601) (-3107.010) [-3086.663] * (-3083.992) (-3116.783) [-3080.517] (-3092.993) -- 0:07:38
555000 -- [-3091.853] (-3091.470) (-3086.910) (-3079.312) * (-3083.089) (-3097.591) [-3086.666] (-3087.328) -- 0:07:37
Average standard deviation of split frequencies: 0.008510
556000 -- (-3093.805) (-3088.305) (-3078.798) [-3085.412] * [-3080.582] (-3093.362) (-3099.909) (-3094.700) -- 0:07:36
557000 -- (-3097.295) (-3084.843) (-3084.304) [-3092.810] * (-3101.351) (-3088.579) (-3094.929) [-3087.166] -- 0:07:35
558000 -- (-3079.747) (-3092.381) (-3085.557) [-3085.753] * (-3095.189) (-3096.022) (-3083.796) [-3079.132] -- 0:07:34
559000 -- (-3079.853) (-3070.956) (-3103.240) [-3080.632] * (-3092.895) (-3087.895) (-3099.204) [-3089.295] -- 0:07:33
560000 -- (-3076.842) (-3083.735) (-3094.976) [-3069.670] * [-3090.606] (-3080.894) (-3104.424) (-3094.102) -- 0:07:32
Average standard deviation of split frequencies: 0.008595
561000 -- (-3082.603) (-3103.833) (-3109.609) [-3089.199] * (-3091.875) [-3093.790] (-3098.669) (-3091.986) -- 0:07:31
562000 -- [-3085.932] (-3108.922) (-3083.510) (-3097.335) * (-3092.512) [-3094.650] (-3085.373) (-3089.581) -- 0:07:30
563000 -- (-3092.173) (-3119.707) [-3085.796] (-3092.725) * (-3106.646) (-3078.710) (-3088.282) [-3095.759] -- 0:07:29
564000 -- [-3087.126] (-3100.799) (-3073.983) (-3091.341) * (-3099.520) [-3086.381] (-3105.459) (-3083.168) -- 0:07:28
565000 -- (-3088.498) (-3097.978) (-3085.240) [-3084.940] * [-3087.548] (-3094.533) (-3099.230) (-3108.613) -- 0:07:27
Average standard deviation of split frequencies: 0.008730
566000 -- (-3085.555) (-3104.228) [-3073.096] (-3092.199) * (-3091.771) (-3094.953) [-3098.068] (-3089.771) -- 0:07:26
567000 -- [-3074.861] (-3104.546) (-3077.426) (-3085.844) * [-3102.121] (-3092.567) (-3089.193) (-3101.659) -- 0:07:25
568000 -- [-3080.990] (-3075.964) (-3084.203) (-3103.940) * (-3085.328) [-3080.555] (-3098.525) (-3085.988) -- 0:07:24
569000 -- (-3089.623) [-3088.934] (-3099.053) (-3093.897) * [-3093.621] (-3098.429) (-3096.062) (-3087.045) -- 0:07:23
570000 -- [-3081.487] (-3079.444) (-3095.511) (-3088.172) * (-3091.829) (-3092.404) (-3115.503) [-3092.937] -- 0:07:22
Average standard deviation of split frequencies: 0.008475
571000 -- [-3069.026] (-3091.856) (-3089.871) (-3100.862) * (-3103.661) [-3091.275] (-3118.390) (-3087.070) -- 0:07:21
572000 -- [-3072.010] (-3085.606) (-3106.521) (-3095.029) * (-3094.896) (-3108.417) (-3099.646) [-3087.440] -- 0:07:19
573000 -- (-3088.474) [-3073.802] (-3095.746) (-3088.432) * (-3087.251) (-3094.019) (-3099.003) [-3088.285] -- 0:07:18
574000 -- (-3097.286) (-3085.031) (-3087.106) [-3092.044] * (-3096.230) [-3079.830] (-3085.799) (-3075.728) -- 0:07:17
575000 -- (-3083.412) (-3073.608) (-3086.196) [-3095.610] * (-3104.733) [-3073.640] (-3085.651) (-3087.779) -- 0:07:16
Average standard deviation of split frequencies: 0.008093
576000 -- (-3094.950) [-3089.266] (-3102.496) (-3098.644) * (-3104.937) (-3079.936) (-3089.501) [-3078.027] -- 0:07:16
577000 -- (-3095.741) (-3093.796) [-3085.124] (-3076.332) * [-3091.113] (-3082.581) (-3079.900) (-3095.876) -- 0:07:15
578000 -- (-3090.422) [-3079.282] (-3093.904) (-3097.458) * [-3094.445] (-3081.146) (-3089.751) (-3097.993) -- 0:07:14
579000 -- [-3085.701] (-3077.730) (-3092.887) (-3094.191) * (-3093.698) (-3089.425) [-3081.716] (-3094.431) -- 0:07:13
580000 -- (-3087.765) [-3076.598] (-3102.310) (-3091.377) * [-3092.662] (-3097.287) (-3082.360) (-3099.003) -- 0:07:12
Average standard deviation of split frequencies: 0.008088
581000 -- [-3084.884] (-3089.110) (-3095.806) (-3083.614) * (-3099.493) (-3093.314) (-3099.201) [-3087.376] -- 0:07:11
582000 -- [-3080.291] (-3088.598) (-3085.115) (-3084.448) * (-3115.550) [-3087.881] (-3111.630) (-3089.106) -- 0:07:10
583000 -- [-3085.892] (-3083.123) (-3103.431) (-3091.303) * [-3085.689] (-3092.459) (-3090.254) (-3095.951) -- 0:07:09
584000 -- (-3091.785) [-3094.757] (-3095.323) (-3090.411) * (-3087.862) (-3095.451) (-3095.569) [-3088.420] -- 0:07:08
585000 -- (-3082.141) [-3083.224] (-3087.221) (-3101.427) * [-3081.232] (-3118.288) (-3082.571) (-3084.221) -- 0:07:07
Average standard deviation of split frequencies: 0.007925
586000 -- [-3086.428] (-3091.505) (-3087.938) (-3090.878) * (-3094.700) (-3102.677) (-3073.374) [-3081.655] -- 0:07:06
587000 -- (-3081.152) [-3080.567] (-3101.369) (-3099.191) * (-3094.651) (-3113.201) (-3080.675) [-3069.448] -- 0:07:04
588000 -- (-3088.941) [-3081.172] (-3109.590) (-3085.323) * (-3097.587) (-3089.650) (-3093.340) [-3079.146] -- 0:07:03
589000 -- [-3077.465] (-3095.346) (-3082.866) (-3094.605) * [-3093.694] (-3091.117) (-3087.672) (-3097.516) -- 0:07:02
590000 -- [-3088.017] (-3096.844) (-3095.894) (-3096.965) * [-3074.837] (-3110.997) (-3090.833) (-3087.506) -- 0:07:01
Average standard deviation of split frequencies: 0.008099
591000 -- [-3084.692] (-3087.695) (-3094.438) (-3096.762) * (-3095.675) (-3112.782) [-3075.322] (-3085.727) -- 0:07:00
592000 -- (-3092.530) (-3087.444) (-3092.007) [-3078.897] * (-3082.709) (-3091.154) [-3082.103] (-3093.698) -- 0:06:59
593000 -- [-3094.525] (-3095.962) (-3091.296) (-3093.904) * (-3094.359) (-3093.959) (-3086.057) [-3078.496] -- 0:06:58
594000 -- (-3090.169) (-3082.787) [-3084.769] (-3091.180) * (-3097.428) [-3072.861] (-3099.844) (-3088.106) -- 0:06:57
595000 -- [-3096.827] (-3088.212) (-3078.497) (-3107.572) * (-3091.099) (-3077.435) (-3092.072) [-3077.100] -- 0:06:56
Average standard deviation of split frequencies: 0.007939
596000 -- [-3079.412] (-3097.560) (-3078.169) (-3093.215) * (-3098.811) (-3090.729) [-3085.852] (-3086.595) -- 0:06:55
597000 -- (-3091.027) (-3101.043) (-3092.958) [-3081.243] * [-3089.820] (-3091.146) (-3090.359) (-3096.130) -- 0:06:54
598000 -- (-3103.359) [-3083.167] (-3086.947) (-3107.147) * (-3106.727) (-3087.631) [-3079.901] (-3090.724) -- 0:06:53
599000 -- (-3105.463) [-3083.757] (-3080.529) (-3088.722) * (-3098.778) (-3088.104) [-3085.710] (-3085.369) -- 0:06:52
600000 -- (-3088.590) (-3081.235) [-3086.003] (-3100.072) * (-3110.451) [-3090.527] (-3094.488) (-3072.206) -- 0:06:51
Average standard deviation of split frequencies: 0.007935
601000 -- (-3090.468) [-3078.647] (-3106.717) (-3094.600) * (-3076.489) [-3076.629] (-3087.752) (-3084.289) -- 0:06:50
602000 -- (-3097.705) (-3079.894) [-3079.282] (-3107.808) * (-3089.454) (-3082.647) (-3090.172) [-3087.171] -- 0:06:49
603000 -- (-3109.404) (-3080.301) [-3084.786] (-3081.282) * (-3095.395) (-3107.042) (-3081.842) [-3082.779] -- 0:06:48
604000 -- (-3106.946) [-3084.368] (-3107.290) (-3086.358) * (-3093.222) (-3107.347) [-3081.080] (-3083.094) -- 0:06:47
605000 -- (-3106.703) [-3096.265] (-3111.416) (-3082.785) * [-3085.621] (-3090.150) (-3090.413) (-3089.534) -- 0:06:46
Average standard deviation of split frequencies: 0.008240
606000 -- (-3088.762) (-3111.389) (-3093.685) [-3084.348] * (-3090.110) [-3084.214] (-3078.864) (-3089.652) -- 0:06:45
607000 -- [-3095.734] (-3093.546) (-3095.524) (-3090.889) * (-3102.603) [-3077.494] (-3094.866) (-3093.077) -- 0:06:44
608000 -- (-3094.206) [-3079.396] (-3099.024) (-3095.459) * (-3096.176) (-3088.336) (-3108.693) [-3078.666] -- 0:06:43
609000 -- (-3087.584) [-3069.824] (-3094.132) (-3096.421) * (-3099.953) (-3103.838) (-3092.098) [-3093.473] -- 0:06:42
610000 -- (-3088.200) [-3071.520] (-3111.364) (-3086.372) * (-3109.516) [-3085.299] (-3075.368) (-3100.815) -- 0:06:41
Average standard deviation of split frequencies: 0.008063
611000 -- (-3085.649) (-3082.797) (-3096.691) [-3082.555] * (-3099.219) (-3091.863) [-3080.361] (-3103.726) -- 0:06:40
612000 -- [-3084.272] (-3088.497) (-3121.025) (-3094.470) * (-3091.024) (-3084.756) (-3087.594) [-3100.821] -- 0:06:39
613000 -- [-3082.313] (-3090.759) (-3101.662) (-3102.897) * (-3098.372) [-3081.039] (-3097.584) (-3086.350) -- 0:06:38
614000 -- [-3086.700] (-3092.235) (-3092.885) (-3102.158) * (-3091.834) (-3098.773) [-3079.463] (-3089.477) -- 0:06:37
615000 -- (-3089.130) (-3112.144) [-3087.023] (-3107.073) * [-3079.290] (-3076.997) (-3080.712) (-3094.246) -- 0:06:36
Average standard deviation of split frequencies: 0.007709
616000 -- [-3095.584] (-3103.323) (-3085.999) (-3088.190) * (-3087.660) [-3077.277] (-3090.446) (-3098.165) -- 0:06:35
617000 -- (-3099.163) [-3087.706] (-3091.535) (-3096.782) * (-3097.350) (-3086.676) [-3088.792] (-3091.175) -- 0:06:34
618000 -- (-3082.711) (-3081.415) [-3082.830] (-3085.434) * (-3088.631) [-3076.252] (-3099.900) (-3081.969) -- 0:06:33
619000 -- (-3088.842) [-3089.369] (-3077.946) (-3086.161) * (-3103.137) (-3086.726) [-3085.289] (-3085.559) -- 0:06:32
620000 -- (-3085.605) (-3092.717) (-3082.043) [-3080.380] * (-3093.473) [-3079.792] (-3087.254) (-3078.815) -- 0:06:31
Average standard deviation of split frequencies: 0.007876
621000 -- [-3097.088] (-3091.624) (-3079.025) (-3086.265) * (-3082.517) (-3085.366) [-3080.922] (-3095.269) -- 0:06:29
622000 -- (-3083.288) [-3087.532] (-3105.314) (-3091.897) * (-3091.662) [-3081.289] (-3092.755) (-3095.190) -- 0:06:28
623000 -- (-3089.746) [-3089.292] (-3095.880) (-3087.893) * (-3092.411) (-3075.639) (-3095.723) [-3094.436] -- 0:06:27
624000 -- (-3108.986) [-3091.826] (-3099.902) (-3098.631) * (-3098.304) (-3089.658) [-3083.430] (-3086.936) -- 0:06:26
625000 -- (-3080.926) [-3084.694] (-3110.433) (-3094.195) * [-3086.241] (-3101.592) (-3097.290) (-3084.128) -- 0:06:25
Average standard deviation of split frequencies: 0.007949
626000 -- (-3096.471) (-3092.329) (-3101.791) [-3075.811] * (-3078.230) (-3096.048) [-3080.426] (-3088.737) -- 0:06:24
627000 -- (-3090.166) (-3085.753) (-3094.606) [-3078.001] * [-3095.697] (-3109.518) (-3081.192) (-3085.863) -- 0:06:23
628000 -- (-3089.104) (-3089.631) (-3101.861) [-3073.054] * [-3081.741] (-3101.738) (-3081.291) (-3089.780) -- 0:06:22
629000 -- (-3078.795) (-3086.379) (-3117.019) [-3077.369] * (-3091.292) (-3092.981) [-3094.045] (-3090.731) -- 0:06:21
630000 -- (-3084.992) (-3092.587) (-3088.438) [-3088.881] * (-3091.885) (-3088.218) (-3102.320) [-3068.189] -- 0:06:20
Average standard deviation of split frequencies: 0.007170
631000 -- (-3081.538) [-3096.467] (-3092.417) (-3096.247) * [-3085.201] (-3088.588) (-3084.157) (-3093.767) -- 0:06:19
632000 -- (-3087.228) [-3083.157] (-3086.684) (-3101.135) * (-3088.718) [-3086.122] (-3091.732) (-3108.228) -- 0:06:19
633000 -- (-3077.930) (-3101.757) [-3085.477] (-3092.178) * (-3095.456) [-3086.175] (-3104.942) (-3089.961) -- 0:06:18
634000 -- (-3100.049) (-3099.760) [-3090.335] (-3091.001) * [-3073.148] (-3092.210) (-3105.026) (-3082.141) -- 0:06:16
635000 -- [-3078.716] (-3083.641) (-3107.308) (-3094.133) * (-3095.794) [-3087.711] (-3099.462) (-3085.727) -- 0:06:15
Average standard deviation of split frequencies: 0.007906
636000 -- (-3096.631) (-3082.124) (-3089.883) [-3078.068] * (-3096.647) (-3090.238) (-3088.991) [-3096.340] -- 0:06:14
637000 -- (-3087.728) [-3090.148] (-3081.519) (-3102.148) * (-3084.912) (-3084.269) [-3081.542] (-3095.947) -- 0:06:13
638000 -- (-3093.233) (-3096.281) [-3079.862] (-3090.007) * (-3085.231) [-3098.491] (-3102.469) (-3089.612) -- 0:06:12
639000 -- (-3091.020) [-3092.049] (-3090.694) (-3101.221) * [-3090.499] (-3104.578) (-3093.253) (-3085.329) -- 0:06:11
640000 -- (-3110.747) (-3099.229) (-3094.933) [-3085.160] * (-3089.101) (-3096.057) [-3088.404] (-3093.056) -- 0:06:10
Average standard deviation of split frequencies: 0.007876
641000 -- (-3099.475) [-3091.268] (-3110.183) (-3101.052) * (-3091.034) (-3094.329) [-3092.327] (-3102.461) -- 0:06:09
642000 -- (-3119.766) (-3093.633) (-3093.607) [-3086.847] * [-3072.713] (-3092.473) (-3105.905) (-3093.648) -- 0:06:08
643000 -- (-3091.676) (-3075.216) (-3094.255) [-3086.979] * [-3084.295] (-3082.265) (-3101.945) (-3111.149) -- 0:06:07
644000 -- (-3089.779) (-3086.159) (-3097.279) [-3079.617] * (-3082.142) [-3070.499] (-3096.817) (-3092.049) -- 0:06:06
645000 -- (-3078.410) (-3091.635) (-3090.342) [-3084.831] * (-3085.616) (-3089.698) [-3089.747] (-3096.899) -- 0:06:05
Average standard deviation of split frequencies: 0.008216
646000 -- (-3093.515) (-3096.534) [-3090.829] (-3090.032) * (-3082.337) [-3079.503] (-3089.716) (-3102.645) -- 0:06:04
647000 -- (-3093.097) (-3113.472) [-3085.826] (-3077.384) * [-3081.975] (-3079.574) (-3089.427) (-3094.370) -- 0:06:03
648000 -- [-3087.563] (-3106.625) (-3082.474) (-3080.948) * (-3088.582) (-3092.856) (-3078.491) [-3091.759] -- 0:06:02
649000 -- (-3089.657) (-3086.006) [-3078.566] (-3084.338) * (-3087.131) (-3096.474) [-3078.209] (-3102.032) -- 0:06:01
650000 -- (-3088.576) (-3088.728) (-3090.572) [-3092.651] * (-3081.852) (-3093.008) [-3077.360] (-3098.646) -- 0:06:00
Average standard deviation of split frequencies: 0.008077
651000 -- (-3092.005) (-3082.443) [-3084.163] (-3103.370) * (-3088.780) [-3092.984] (-3092.995) (-3097.342) -- 0:05:59
652000 -- (-3104.696) (-3086.325) (-3093.674) [-3084.926] * (-3092.113) [-3083.318] (-3100.536) (-3103.382) -- 0:05:58
653000 -- (-3097.464) (-3090.618) [-3082.787] (-3103.216) * [-3076.881] (-3082.460) (-3107.646) (-3098.961) -- 0:05:57
654000 -- (-3095.965) (-3086.304) [-3081.147] (-3108.565) * (-3080.696) (-3096.921) [-3094.781] (-3086.076) -- 0:05:56
655000 -- (-3084.969) (-3091.715) (-3097.788) [-3084.792] * [-3076.013] (-3089.662) (-3112.715) (-3078.356) -- 0:05:55
Average standard deviation of split frequencies: 0.007825
656000 -- (-3082.648) (-3100.122) [-3081.309] (-3077.983) * (-3094.325) (-3098.168) (-3088.210) [-3092.507] -- 0:05:53
657000 -- (-3088.076) (-3080.576) [-3071.348] (-3076.531) * [-3083.006] (-3086.083) (-3078.724) (-3087.093) -- 0:05:52
658000 -- (-3082.005) [-3076.677] (-3084.023) (-3088.860) * [-3089.826] (-3094.044) (-3091.707) (-3098.792) -- 0:05:51
659000 -- (-3091.690) (-3086.741) [-3085.354] (-3098.078) * [-3079.400] (-3095.274) (-3094.779) (-3098.953) -- 0:05:50
660000 -- (-3100.778) [-3070.902] (-3089.259) (-3093.394) * (-3098.168) (-3091.897) [-3074.850] (-3083.321) -- 0:05:49
Average standard deviation of split frequencies: 0.007928
661000 -- (-3081.584) (-3080.799) [-3074.067] (-3087.663) * [-3077.772] (-3088.763) (-3089.167) (-3080.805) -- 0:05:48
662000 -- (-3094.767) [-3095.096] (-3086.703) (-3092.958) * (-3088.537) (-3101.207) (-3086.221) [-3084.395] -- 0:05:47
663000 -- [-3092.431] (-3087.142) (-3080.584) (-3087.775) * (-3087.225) (-3111.423) [-3084.481] (-3092.374) -- 0:05:46
664000 -- [-3086.121] (-3089.438) (-3086.770) (-3089.891) * (-3094.648) (-3101.127) [-3085.272] (-3089.861) -- 0:05:45
665000 -- (-3103.284) (-3079.182) [-3082.704] (-3086.584) * (-3089.442) (-3091.908) [-3075.661] (-3093.397) -- 0:05:44
Average standard deviation of split frequencies: 0.007943
666000 -- (-3106.099) [-3095.668] (-3081.059) (-3087.189) * (-3097.457) (-3090.971) [-3073.087] (-3105.232) -- 0:05:43
667000 -- (-3092.544) (-3088.609) [-3085.618] (-3097.151) * (-3097.057) (-3098.325) [-3074.510] (-3096.406) -- 0:05:42
668000 -- (-3107.942) (-3093.107) [-3091.495] (-3091.708) * [-3095.697] (-3104.684) (-3094.743) (-3096.931) -- 0:05:41
669000 -- (-3087.910) (-3092.946) (-3099.421) [-3092.189] * (-3095.340) (-3109.519) (-3083.763) [-3073.419] -- 0:05:40
670000 -- [-3081.414] (-3101.725) (-3088.821) (-3104.243) * [-3084.250] (-3112.250) (-3089.807) (-3071.590) -- 0:05:39
Average standard deviation of split frequencies: 0.008148
671000 -- (-3084.954) [-3090.906] (-3094.560) (-3102.858) * (-3091.566) (-3105.826) (-3089.285) [-3075.074] -- 0:05:38
672000 -- [-3082.532] (-3093.574) (-3104.930) (-3093.934) * (-3104.180) (-3114.359) (-3087.797) [-3087.563] -- 0:05:37
673000 -- (-3089.759) (-3087.147) (-3096.032) [-3082.591] * (-3094.588) [-3091.623] (-3085.425) (-3100.242) -- 0:05:36
674000 -- [-3075.007] (-3086.447) (-3099.864) (-3083.994) * (-3104.843) (-3087.908) [-3075.374] (-3081.814) -- 0:05:35
675000 -- (-3078.748) (-3095.319) (-3094.008) [-3083.986] * (-3087.267) (-3098.059) (-3097.366) [-3086.168] -- 0:05:34
Average standard deviation of split frequencies: 0.008265
676000 -- [-3085.026] (-3098.953) (-3093.632) (-3110.191) * (-3102.484) (-3083.003) (-3083.739) [-3081.752] -- 0:05:33
677000 -- (-3094.222) (-3099.311) (-3091.344) [-3092.314] * (-3092.142) [-3081.322] (-3101.845) (-3089.952) -- 0:05:32
678000 -- [-3086.510] (-3097.759) (-3098.299) (-3092.726) * (-3098.885) [-3076.526] (-3094.530) (-3089.127) -- 0:05:31
679000 -- (-3088.664) [-3094.649] (-3084.084) (-3101.576) * (-3095.211) [-3072.350] (-3084.714) (-3100.425) -- 0:05:30
680000 -- (-3093.676) (-3083.540) [-3083.925] (-3105.296) * [-3090.023] (-3083.134) (-3081.970) (-3113.682) -- 0:05:29
Average standard deviation of split frequencies: 0.007823
681000 -- (-3103.463) [-3081.588] (-3097.932) (-3092.028) * (-3087.362) (-3097.436) (-3086.879) [-3086.829] -- 0:05:28
682000 -- [-3084.028] (-3090.824) (-3086.749) (-3094.916) * [-3095.369] (-3074.377) (-3093.497) (-3090.015) -- 0:05:27
683000 -- (-3100.866) (-3095.346) [-3075.458] (-3104.438) * (-3096.303) [-3073.303] (-3080.560) (-3087.026) -- 0:05:26
684000 -- [-3079.732] (-3084.468) (-3104.256) (-3082.580) * (-3091.525) (-3090.000) (-3089.139) [-3096.930] -- 0:05:25
685000 -- (-3083.527) [-3076.195] (-3099.914) (-3092.845) * [-3082.875] (-3099.746) (-3094.785) (-3097.168) -- 0:05:24
Average standard deviation of split frequencies: 0.007788
686000 -- [-3088.958] (-3095.469) (-3085.404) (-3093.350) * (-3090.371) (-3098.628) (-3080.633) [-3082.838] -- 0:05:23
687000 -- (-3089.737) (-3087.154) (-3101.752) [-3078.971] * (-3083.507) (-3095.711) (-3096.454) [-3078.390] -- 0:05:22
688000 -- (-3100.823) (-3084.765) (-3090.077) [-3095.312] * (-3087.141) (-3098.460) (-3097.638) [-3078.694] -- 0:05:21
689000 -- (-3090.246) (-3109.091) (-3105.292) [-3082.439] * (-3089.298) (-3100.010) (-3100.514) [-3080.125] -- 0:05:20
690000 -- [-3077.176] (-3107.211) (-3097.295) (-3098.018) * [-3083.378] (-3115.143) (-3095.105) (-3090.550) -- 0:05:18
Average standard deviation of split frequencies: 0.007786
691000 -- [-3083.029] (-3076.191) (-3099.527) (-3087.727) * (-3104.501) [-3085.383] (-3082.439) (-3080.413) -- 0:05:17
692000 -- (-3090.810) (-3075.314) [-3080.101] (-3097.331) * (-3111.473) (-3095.836) (-3094.482) [-3084.873] -- 0:05:16
693000 -- [-3084.735] (-3079.687) (-3091.687) (-3100.736) * (-3091.476) [-3091.359] (-3096.528) (-3083.917) -- 0:05:15
694000 -- [-3075.599] (-3095.154) (-3087.877) (-3086.238) * [-3086.858] (-3112.656) (-3100.493) (-3076.007) -- 0:05:14
695000 -- (-3085.700) (-3095.386) [-3087.987] (-3104.840) * [-3081.215] (-3094.027) (-3103.989) (-3085.583) -- 0:05:13
Average standard deviation of split frequencies: 0.007576
696000 -- (-3098.839) (-3086.492) [-3082.973] (-3087.339) * (-3087.551) (-3083.262) (-3106.925) [-3080.246] -- 0:05:12
697000 -- (-3090.557) (-3096.197) [-3081.791] (-3080.930) * (-3086.922) (-3095.877) (-3119.426) [-3091.528] -- 0:05:11
698000 -- (-3093.648) (-3090.676) (-3077.829) [-3096.480] * (-3094.481) [-3086.651] (-3090.304) (-3091.004) -- 0:05:10
699000 -- (-3096.943) (-3090.014) [-3085.663] (-3094.376) * (-3105.502) [-3089.662] (-3085.985) (-3090.436) -- 0:05:09
700000 -- [-3082.972] (-3086.786) (-3098.499) (-3085.417) * (-3095.048) (-3087.739) [-3080.629] (-3092.816) -- 0:05:09
Average standard deviation of split frequencies: 0.007500
701000 -- (-3093.458) (-3091.910) [-3081.111] (-3100.014) * (-3112.053) [-3096.782] (-3097.196) (-3083.129) -- 0:05:07
702000 -- (-3093.402) [-3081.187] (-3098.357) (-3098.392) * [-3089.400] (-3087.401) (-3090.218) (-3091.435) -- 0:05:06
703000 -- (-3095.607) (-3091.572) (-3102.863) [-3073.303] * (-3104.002) (-3090.154) [-3093.676] (-3096.730) -- 0:05:05
704000 -- (-3102.872) (-3091.717) (-3094.705) [-3083.931] * (-3089.567) [-3074.187] (-3101.803) (-3074.972) -- 0:05:04
705000 -- (-3102.630) (-3089.399) [-3083.257] (-3085.770) * (-3097.886) [-3078.063] (-3111.373) (-3081.964) -- 0:05:03
Average standard deviation of split frequencies: 0.007765
706000 -- (-3114.711) (-3086.695) [-3089.546] (-3085.268) * (-3099.317) (-3085.047) [-3086.889] (-3100.181) -- 0:05:02
707000 -- [-3093.267] (-3088.497) (-3083.318) (-3089.672) * (-3095.104) (-3100.483) [-3086.378] (-3083.392) -- 0:05:01
708000 -- (-3104.407) (-3103.672) [-3085.123] (-3080.313) * [-3089.421] (-3099.586) (-3085.524) (-3093.406) -- 0:05:00
709000 -- (-3094.446) (-3091.397) (-3090.266) [-3081.554] * (-3092.852) (-3104.272) [-3079.079] (-3075.202) -- 0:04:59
710000 -- (-3110.325) (-3104.311) [-3084.327] (-3087.575) * (-3088.034) (-3095.670) (-3085.701) [-3079.882] -- 0:04:58
Average standard deviation of split frequencies: 0.007297
711000 -- [-3091.021] (-3102.649) (-3087.970) (-3096.774) * (-3090.395) (-3100.808) (-3082.685) [-3083.500] -- 0:04:57
712000 -- [-3084.375] (-3092.652) (-3091.120) (-3111.151) * (-3088.007) (-3097.549) [-3075.526] (-3089.677) -- 0:04:56
713000 -- [-3084.500] (-3084.189) (-3097.166) (-3089.701) * (-3094.643) [-3088.128] (-3087.034) (-3085.860) -- 0:04:55
714000 -- [-3080.642] (-3077.040) (-3102.126) (-3100.279) * (-3122.491) [-3082.877] (-3081.903) (-3085.610) -- 0:04:54
715000 -- (-3099.483) (-3087.483) [-3097.969] (-3082.053) * (-3120.615) [-3089.344] (-3079.634) (-3093.003) -- 0:04:53
Average standard deviation of split frequencies: 0.007510
716000 -- (-3087.350) [-3083.120] (-3090.965) (-3098.134) * (-3105.321) (-3102.625) (-3088.710) [-3081.834] -- 0:04:52
717000 -- (-3086.179) (-3092.201) [-3078.650] (-3083.327) * [-3083.258] (-3108.024) (-3086.314) (-3095.347) -- 0:04:51
718000 -- [-3076.393] (-3092.520) (-3093.190) (-3079.621) * (-3093.930) (-3087.818) [-3088.166] (-3088.948) -- 0:04:50
719000 -- (-3095.544) (-3081.331) (-3088.920) [-3080.629] * (-3096.196) (-3099.344) (-3090.328) [-3095.638] -- 0:04:49
720000 -- (-3094.684) (-3087.564) (-3086.636) [-3075.589] * (-3083.563) (-3090.185) [-3094.513] (-3092.601) -- 0:04:48
Average standard deviation of split frequencies: 0.007316
721000 -- (-3079.822) (-3099.897) (-3096.029) [-3080.674] * [-3099.850] (-3116.122) (-3091.534) (-3098.796) -- 0:04:47
722000 -- (-3073.898) (-3087.091) (-3092.124) [-3082.761] * (-3089.899) (-3090.447) (-3078.381) [-3084.698] -- 0:04:46
723000 -- [-3082.953] (-3092.773) (-3087.216) (-3089.195) * [-3080.799] (-3083.327) (-3076.516) (-3098.217) -- 0:04:45
724000 -- [-3085.085] (-3087.019) (-3081.578) (-3083.637) * (-3080.163) (-3099.982) [-3082.476] (-3087.046) -- 0:04:44
725000 -- (-3082.562) (-3097.050) (-3085.543) [-3090.626] * [-3083.235] (-3082.929) (-3092.969) (-3082.342) -- 0:04:42
Average standard deviation of split frequencies: 0.007623
726000 -- (-3097.570) [-3083.126] (-3084.328) (-3092.578) * (-3101.225) (-3089.190) [-3097.171] (-3088.543) -- 0:04:41
727000 -- (-3095.051) (-3087.225) (-3090.690) [-3081.652] * [-3083.113] (-3085.940) (-3096.422) (-3103.220) -- 0:04:40
728000 -- (-3095.424) (-3108.487) (-3083.610) [-3080.551] * [-3082.123] (-3085.309) (-3094.930) (-3079.445) -- 0:04:39
729000 -- (-3087.659) (-3111.268) (-3093.996) [-3085.297] * (-3092.687) [-3079.430] (-3099.661) (-3089.415) -- 0:04:38
730000 -- (-3097.605) (-3089.722) [-3088.389] (-3086.163) * (-3100.310) (-3082.847) (-3088.059) [-3081.292] -- 0:04:37
Average standard deviation of split frequencies: 0.007312
731000 -- (-3086.260) (-3111.317) [-3077.995] (-3081.738) * [-3090.375] (-3104.674) (-3096.216) (-3089.600) -- 0:04:36
732000 -- [-3075.584] (-3083.040) (-3081.888) (-3098.246) * [-3102.571] (-3104.161) (-3089.482) (-3090.762) -- 0:04:35
733000 -- (-3094.280) (-3090.702) [-3097.008] (-3114.619) * [-3087.595] (-3103.896) (-3079.451) (-3104.254) -- 0:04:34
734000 -- (-3109.013) [-3077.529] (-3100.857) (-3089.948) * [-3087.173] (-3087.840) (-3088.143) (-3086.066) -- 0:04:33
735000 -- (-3089.418) [-3078.139] (-3085.374) (-3097.627) * (-3103.547) (-3090.608) (-3072.407) [-3085.168] -- 0:04:32
Average standard deviation of split frequencies: 0.006690
736000 -- (-3108.678) [-3070.743] (-3090.524) (-3093.368) * (-3090.660) (-3097.203) (-3082.936) [-3081.397] -- 0:04:31
737000 -- [-3083.614] (-3086.786) (-3097.222) (-3100.882) * (-3080.835) [-3083.135] (-3093.252) (-3096.339) -- 0:04:30
738000 -- (-3091.866) (-3107.535) (-3088.770) [-3074.307] * (-3085.456) (-3085.767) [-3078.765] (-3083.572) -- 0:04:29
739000 -- (-3083.429) (-3103.096) (-3097.177) [-3089.002] * (-3110.187) (-3087.903) (-3087.867) [-3087.925] -- 0:04:28
740000 -- (-3092.540) [-3090.453] (-3099.699) (-3085.618) * [-3087.581] (-3087.620) (-3093.750) (-3092.646) -- 0:04:27
Average standard deviation of split frequencies: 0.006365
741000 -- (-3080.734) [-3085.060] (-3105.234) (-3090.610) * (-3093.985) (-3092.000) (-3108.262) [-3086.117] -- 0:04:26
742000 -- (-3091.487) [-3097.644] (-3090.564) (-3089.071) * (-3103.585) (-3083.620) (-3092.422) [-3079.103] -- 0:04:25
743000 -- (-3092.499) (-3091.198) (-3084.992) [-3082.129] * (-3103.392) (-3094.496) (-3090.432) [-3097.329] -- 0:04:24
744000 -- (-3089.653) (-3088.547) (-3096.607) [-3083.332] * (-3096.881) [-3083.925] (-3087.824) (-3095.653) -- 0:04:23
745000 -- [-3077.773] (-3099.748) (-3085.677) (-3100.920) * (-3090.242) [-3091.915] (-3090.833) (-3107.170) -- 0:04:22
Average standard deviation of split frequencies: 0.006085
746000 -- (-3091.086) (-3123.468) [-3068.049] (-3090.758) * (-3085.853) (-3085.949) (-3082.826) [-3081.562] -- 0:04:21
747000 -- (-3087.749) (-3097.160) [-3080.681] (-3099.183) * [-3077.152] (-3095.586) (-3087.635) (-3088.565) -- 0:04:20
748000 -- [-3088.187] (-3079.502) (-3089.059) (-3090.973) * (-3080.872) [-3081.585] (-3092.554) (-3081.420) -- 0:04:19
749000 -- [-3082.030] (-3098.746) (-3084.208) (-3106.166) * [-3073.419] (-3076.027) (-3099.517) (-3088.761) -- 0:04:18
750000 -- [-3075.227] (-3099.072) (-3086.677) (-3083.398) * (-3094.892) (-3092.776) (-3092.180) [-3083.706] -- 0:04:17
Average standard deviation of split frequencies: 0.005977
751000 -- [-3084.435] (-3093.001) (-3095.043) (-3097.382) * [-3085.871] (-3090.537) (-3101.324) (-3092.049) -- 0:04:16
752000 -- [-3075.560] (-3095.544) (-3094.584) (-3088.735) * (-3096.009) (-3100.368) (-3100.585) [-3074.388] -- 0:04:15
753000 -- [-3077.715] (-3091.333) (-3088.231) (-3089.151) * (-3091.831) (-3100.553) (-3099.908) [-3080.684] -- 0:04:14
754000 -- [-3085.727] (-3090.149) (-3085.866) (-3097.196) * (-3110.177) [-3077.111] (-3088.378) (-3087.196) -- 0:04:13
755000 -- [-3085.602] (-3085.720) (-3099.619) (-3087.199) * (-3103.946) (-3095.435) (-3087.913) [-3082.101] -- 0:04:12
Average standard deviation of split frequencies: 0.006028
756000 -- [-3081.915] (-3092.027) (-3092.678) (-3093.395) * [-3081.232] (-3098.082) (-3081.707) (-3087.762) -- 0:04:11
757000 -- (-3084.898) (-3092.559) (-3089.528) [-3079.752] * (-3092.441) (-3093.396) (-3091.332) [-3080.125] -- 0:04:10
758000 -- (-3100.831) (-3083.407) [-3086.436] (-3094.228) * [-3090.258] (-3109.616) (-3107.190) (-3086.440) -- 0:04:09
759000 -- [-3082.810] (-3093.276) (-3090.082) (-3092.435) * (-3087.055) (-3090.551) (-3097.941) [-3081.655] -- 0:04:07
760000 -- (-3093.902) (-3100.212) (-3111.072) [-3077.771] * [-3085.987] (-3094.822) (-3089.816) (-3083.173) -- 0:04:06
Average standard deviation of split frequencies: 0.006496
761000 -- [-3083.453] (-3088.587) (-3096.088) (-3098.244) * (-3079.546) (-3094.445) (-3082.960) [-3091.567] -- 0:04:05
762000 -- (-3079.235) [-3076.920] (-3091.895) (-3099.749) * (-3081.223) [-3077.316] (-3092.395) (-3111.626) -- 0:04:04
763000 -- [-3080.229] (-3098.853) (-3090.571) (-3094.567) * [-3079.797] (-3079.854) (-3083.012) (-3094.922) -- 0:04:03
764000 -- [-3082.517] (-3105.106) (-3096.281) (-3092.672) * (-3079.065) (-3080.574) (-3100.014) [-3095.235] -- 0:04:02
765000 -- [-3073.379] (-3094.246) (-3098.777) (-3086.714) * [-3083.551] (-3094.709) (-3109.662) (-3095.416) -- 0:04:01
Average standard deviation of split frequencies: 0.006519
766000 -- (-3087.282) [-3085.432] (-3093.492) (-3104.609) * (-3088.078) (-3088.596) (-3099.305) [-3104.206] -- 0:04:00
767000 -- [-3079.065] (-3095.347) (-3076.927) (-3092.708) * (-3089.441) [-3087.184] (-3081.774) (-3085.828) -- 0:03:59
768000 -- [-3076.872] (-3093.258) (-3095.027) (-3108.078) * (-3078.172) (-3080.100) [-3081.194] (-3088.883) -- 0:03:58
769000 -- [-3082.747] (-3091.393) (-3093.717) (-3097.297) * (-3100.359) (-3089.854) [-3082.743] (-3099.218) -- 0:03:57
770000 -- (-3093.843) [-3081.598] (-3096.676) (-3088.761) * (-3092.720) (-3109.112) [-3080.117] (-3088.654) -- 0:03:56
Average standard deviation of split frequencies: 0.006321
771000 -- (-3097.026) (-3092.549) (-3092.520) [-3099.739] * (-3094.667) (-3100.697) [-3091.471] (-3096.128) -- 0:03:55
772000 -- (-3088.059) (-3085.894) (-3096.727) [-3089.438] * (-3086.476) [-3093.776] (-3087.291) (-3121.930) -- 0:03:54
773000 -- (-3089.959) (-3076.262) (-3102.695) [-3094.126] * (-3086.201) [-3080.562] (-3084.899) (-3097.360) -- 0:03:53
774000 -- (-3088.575) [-3080.694] (-3088.469) (-3086.887) * [-3092.514] (-3085.326) (-3088.856) (-3097.220) -- 0:03:52
775000 -- (-3097.581) [-3075.113] (-3101.347) (-3099.370) * (-3085.759) [-3086.110] (-3085.256) (-3095.090) -- 0:03:51
Average standard deviation of split frequencies: 0.006007
776000 -- (-3100.368) [-3073.568] (-3089.718) (-3102.766) * (-3085.528) (-3087.769) [-3090.592] (-3113.267) -- 0:03:50
777000 -- (-3087.753) [-3076.609] (-3093.473) (-3090.779) * [-3085.502] (-3081.507) (-3097.680) (-3092.000) -- 0:03:49
778000 -- [-3084.566] (-3085.743) (-3092.236) (-3092.942) * [-3083.780] (-3085.493) (-3104.554) (-3088.060) -- 0:03:48
779000 -- (-3093.688) (-3088.235) (-3107.347) [-3084.521] * (-3103.625) (-3087.428) (-3098.619) [-3093.387] -- 0:03:47
780000 -- (-3101.586) (-3089.854) (-3089.009) [-3087.680] * (-3093.709) (-3089.664) (-3094.935) [-3084.655] -- 0:03:46
Average standard deviation of split frequencies: 0.006038
781000 -- [-3086.113] (-3089.745) (-3097.232) (-3084.731) * [-3084.777] (-3097.001) (-3106.937) (-3097.446) -- 0:03:45
782000 -- [-3088.951] (-3097.234) (-3096.702) (-3089.545) * [-3080.992] (-3094.127) (-3102.343) (-3086.877) -- 0:03:44
783000 -- [-3074.911] (-3095.988) (-3102.582) (-3108.291) * (-3095.676) [-3084.022] (-3083.640) (-3098.258) -- 0:03:43
784000 -- [-3078.312] (-3091.821) (-3090.025) (-3095.469) * (-3092.826) [-3084.351] (-3087.792) (-3089.063) -- 0:03:42
785000 -- (-3091.841) (-3100.821) (-3087.267) [-3092.799] * (-3089.190) [-3077.464] (-3099.384) (-3081.725) -- 0:03:41
Average standard deviation of split frequencies: 0.006397
786000 -- [-3085.974] (-3093.312) (-3093.540) (-3085.425) * [-3088.618] (-3092.848) (-3090.764) (-3100.144) -- 0:03:40
787000 -- [-3084.025] (-3090.756) (-3100.022) (-3093.728) * (-3100.190) (-3091.753) [-3075.711] (-3096.917) -- 0:03:39
788000 -- (-3082.490) (-3094.683) [-3085.696] (-3087.687) * (-3088.400) (-3098.946) [-3088.905] (-3101.527) -- 0:03:38
789000 -- (-3091.076) (-3108.415) (-3100.722) [-3088.580] * (-3083.095) (-3107.244) [-3080.235] (-3092.253) -- 0:03:37
790000 -- (-3093.136) (-3101.088) [-3078.342] (-3100.546) * (-3092.719) [-3093.251] (-3094.030) (-3085.464) -- 0:03:36
Average standard deviation of split frequencies: 0.006625
791000 -- (-3093.194) (-3103.945) [-3087.982] (-3097.620) * [-3094.838] (-3090.929) (-3093.804) (-3085.940) -- 0:03:35
792000 -- (-3090.960) (-3103.434) [-3087.936] (-3100.122) * (-3105.309) (-3080.756) (-3104.042) [-3083.875] -- 0:03:34
793000 -- (-3084.381) (-3095.240) [-3079.281] (-3114.730) * [-3087.214] (-3078.944) (-3085.449) (-3099.767) -- 0:03:33
794000 -- [-3097.608] (-3104.059) (-3081.410) (-3107.907) * (-3099.159) (-3093.786) [-3081.854] (-3103.354) -- 0:03:31
795000 -- [-3082.674] (-3114.055) (-3101.006) (-3085.896) * [-3081.366] (-3086.805) (-3081.989) (-3097.067) -- 0:03:30
Average standard deviation of split frequencies: 0.006580
796000 -- (-3085.598) [-3093.518] (-3093.134) (-3088.770) * (-3101.002) (-3087.951) (-3102.735) [-3089.669] -- 0:03:29
797000 -- (-3090.537) [-3087.023] (-3095.398) (-3096.221) * [-3087.716] (-3086.771) (-3099.137) (-3071.568) -- 0:03:28
798000 -- (-3092.439) (-3080.479) (-3081.537) [-3078.076] * (-3104.764) (-3085.235) (-3092.653) [-3077.210] -- 0:03:27
799000 -- [-3089.043] (-3098.933) (-3091.907) (-3103.185) * (-3087.087) (-3091.533) (-3089.764) [-3080.959] -- 0:03:26
800000 -- [-3091.409] (-3093.541) (-3077.174) (-3081.845) * [-3085.328] (-3105.144) (-3089.806) (-3092.141) -- 0:03:25
Average standard deviation of split frequencies: 0.006629
801000 -- (-3086.878) [-3083.776] (-3086.460) (-3088.004) * [-3083.751] (-3098.410) (-3083.540) (-3094.091) -- 0:03:24
802000 -- (-3090.791) (-3088.529) (-3086.968) [-3081.146] * (-3095.419) [-3094.066] (-3096.388) (-3082.829) -- 0:03:23
803000 -- (-3096.835) (-3082.433) (-3085.870) [-3081.674] * (-3087.373) (-3101.287) (-3089.381) [-3087.571] -- 0:03:22
804000 -- [-3083.235] (-3102.308) (-3080.742) (-3090.840) * (-3079.329) (-3092.537) [-3084.325] (-3107.053) -- 0:03:21
805000 -- (-3102.607) (-3094.232) [-3076.233] (-3098.863) * (-3096.214) (-3082.305) [-3088.128] (-3092.448) -- 0:03:20
Average standard deviation of split frequencies: 0.006823
806000 -- (-3086.882) (-3108.702) [-3081.735] (-3103.193) * (-3095.425) (-3086.170) (-3090.292) [-3081.479] -- 0:03:19
807000 -- (-3095.752) [-3087.507] (-3088.293) (-3094.147) * (-3093.242) [-3077.663] (-3092.469) (-3095.099) -- 0:03:18
808000 -- (-3105.468) (-3082.239) (-3084.030) [-3087.783] * [-3102.208] (-3083.492) (-3112.228) (-3094.806) -- 0:03:17
809000 -- (-3108.403) (-3098.614) [-3088.700] (-3087.563) * (-3101.918) (-3087.904) (-3094.762) [-3092.349] -- 0:03:16
810000 -- [-3097.085] (-3099.834) (-3090.750) (-3075.127) * (-3088.776) (-3088.546) [-3088.825] (-3079.822) -- 0:03:15
Average standard deviation of split frequencies: 0.006892
811000 -- (-3098.084) (-3094.812) [-3091.032] (-3074.139) * [-3088.068] (-3080.153) (-3076.180) (-3095.126) -- 0:03:14
812000 -- (-3087.829) [-3089.935] (-3089.003) (-3099.492) * (-3093.519) (-3104.284) [-3085.730] (-3092.381) -- 0:03:13
813000 -- (-3101.313) (-3098.030) [-3089.004] (-3088.847) * (-3087.770) (-3092.783) [-3089.287] (-3100.526) -- 0:03:12
814000 -- (-3110.008) (-3091.540) (-3092.266) [-3087.801] * (-3096.650) (-3097.612) [-3089.327] (-3087.039) -- 0:03:11
815000 -- (-3093.809) (-3094.915) [-3073.955] (-3087.241) * (-3087.855) (-3088.573) [-3086.467] (-3081.784) -- 0:03:10
Average standard deviation of split frequencies: 0.006911
816000 -- (-3088.786) (-3091.589) [-3089.217] (-3091.103) * (-3109.185) (-3083.130) [-3078.070] (-3081.296) -- 0:03:09
817000 -- (-3086.059) (-3092.406) (-3089.505) [-3087.263] * (-3109.392) (-3087.266) (-3088.357) [-3086.094] -- 0:03:08
818000 -- [-3083.090] (-3110.445) (-3094.797) (-3095.132) * (-3093.928) [-3083.486] (-3091.095) (-3104.904) -- 0:03:07
819000 -- (-3092.640) (-3082.570) (-3084.994) [-3081.943] * [-3099.622] (-3081.098) (-3093.279) (-3098.053) -- 0:03:06
820000 -- (-3096.714) (-3102.908) (-3088.002) [-3086.639] * (-3102.071) (-3095.959) [-3077.720] (-3087.365) -- 0:03:05
Average standard deviation of split frequencies: 0.006659
821000 -- (-3095.517) [-3080.119] (-3078.398) (-3077.816) * (-3093.725) [-3082.134] (-3082.392) (-3085.001) -- 0:03:04
822000 -- (-3085.879) [-3089.525] (-3095.862) (-3080.144) * (-3088.808) (-3100.049) (-3101.373) [-3094.722] -- 0:03:02
823000 -- (-3082.711) [-3083.330] (-3088.347) (-3096.346) * (-3084.914) (-3096.396) (-3095.756) [-3096.715] -- 0:03:01
824000 -- (-3085.800) (-3096.368) (-3104.141) [-3079.699] * (-3093.114) [-3088.911] (-3095.491) (-3080.763) -- 0:03:00
825000 -- (-3079.054) (-3097.976) [-3081.456] (-3088.175) * (-3093.383) (-3104.641) (-3097.188) [-3090.159] -- 0:03:00
Average standard deviation of split frequencies: 0.006891
826000 -- (-3091.353) (-3118.461) [-3083.295] (-3090.109) * (-3095.831) [-3086.664] (-3091.736) (-3083.399) -- 0:02:59
827000 -- [-3088.546] (-3097.410) (-3105.724) (-3095.446) * (-3084.242) (-3092.774) (-3087.407) [-3088.284] -- 0:02:58
828000 -- [-3089.223] (-3087.091) (-3076.624) (-3117.685) * [-3079.341] (-3099.690) (-3095.303) (-3092.354) -- 0:02:56
829000 -- (-3090.767) [-3078.730] (-3095.308) (-3096.042) * [-3067.098] (-3106.499) (-3111.156) (-3083.238) -- 0:02:55
830000 -- (-3095.477) (-3092.006) (-3084.574) [-3085.212] * (-3073.484) [-3079.893] (-3100.247) (-3092.620) -- 0:02:54
Average standard deviation of split frequencies: 0.006852
831000 -- (-3096.562) (-3095.675) [-3078.705] (-3080.878) * (-3080.037) [-3086.862] (-3104.788) (-3094.733) -- 0:02:53
832000 -- [-3083.305] (-3086.990) (-3081.470) (-3087.787) * [-3079.001] (-3103.324) (-3086.302) (-3091.320) -- 0:02:52
833000 -- (-3103.313) (-3085.081) [-3084.415] (-3102.190) * (-3085.911) (-3109.954) [-3078.799] (-3102.499) -- 0:02:51
834000 -- (-3102.468) (-3096.946) (-3082.771) [-3085.003] * (-3081.462) (-3096.557) [-3084.369] (-3089.149) -- 0:02:50
835000 -- [-3098.104] (-3080.034) (-3098.335) (-3109.127) * (-3088.489) [-3091.893] (-3089.182) (-3085.764) -- 0:02:49
Average standard deviation of split frequencies: 0.006349
836000 -- (-3083.731) (-3084.433) [-3089.662] (-3092.315) * (-3103.618) (-3097.148) [-3088.331] (-3095.707) -- 0:02:48
837000 -- (-3081.004) [-3081.985] (-3090.115) (-3083.246) * [-3095.350] (-3102.008) (-3086.240) (-3093.231) -- 0:02:47
838000 -- (-3084.784) (-3098.733) [-3086.443] (-3094.370) * [-3082.766] (-3081.271) (-3096.614) (-3089.788) -- 0:02:46
839000 -- (-3078.472) [-3086.779] (-3091.384) (-3072.087) * [-3074.263] (-3099.701) (-3096.051) (-3091.144) -- 0:02:45
840000 -- (-3097.388) (-3100.342) (-3103.184) [-3081.633] * [-3078.655] (-3101.427) (-3108.818) (-3103.260) -- 0:02:44
Average standard deviation of split frequencies: 0.006189
841000 -- (-3089.091) (-3110.330) (-3097.083) [-3089.396] * [-3078.624] (-3079.989) (-3084.770) (-3108.663) -- 0:02:43
842000 -- (-3089.218) [-3089.219] (-3088.815) (-3082.448) * [-3085.652] (-3073.940) (-3093.495) (-3106.009) -- 0:02:42
843000 -- (-3112.264) (-3090.645) [-3089.655] (-3080.632) * (-3096.080) [-3075.062] (-3094.263) (-3090.198) -- 0:02:41
844000 -- (-3081.638) (-3082.778) (-3090.517) [-3073.367] * (-3094.574) [-3080.093] (-3091.779) (-3083.564) -- 0:02:40
845000 -- [-3081.288] (-3090.090) (-3096.568) (-3096.370) * (-3087.448) (-3091.949) (-3100.825) [-3076.616] -- 0:02:39
Average standard deviation of split frequencies: 0.006150
846000 -- (-3089.972) [-3092.033] (-3106.202) (-3091.957) * (-3108.430) (-3087.323) (-3085.965) [-3088.462] -- 0:02:38
847000 -- (-3095.937) (-3105.654) (-3099.485) [-3091.649] * (-3085.971) [-3082.835] (-3095.710) (-3087.703) -- 0:02:37
848000 -- [-3081.044] (-3100.682) (-3082.709) (-3092.218) * [-3084.396] (-3084.736) (-3103.013) (-3090.359) -- 0:02:36
849000 -- (-3090.297) (-3089.907) (-3099.677) [-3079.513] * (-3085.772) (-3091.314) (-3092.461) [-3085.629] -- 0:02:35
850000 -- [-3088.444] (-3083.566) (-3111.733) (-3081.286) * (-3081.826) (-3098.898) (-3107.687) [-3083.403] -- 0:02:34
Average standard deviation of split frequencies: 0.006404
851000 -- (-3091.683) (-3095.690) (-3090.826) [-3082.931] * [-3091.678] (-3104.424) (-3081.662) (-3086.004) -- 0:02:33
852000 -- [-3087.062] (-3094.982) (-3097.611) (-3098.261) * (-3088.405) (-3113.819) (-3093.513) [-3079.819] -- 0:02:32
853000 -- [-3086.577] (-3080.435) (-3092.834) (-3101.570) * [-3081.501] (-3090.922) (-3088.604) (-3078.663) -- 0:02:31
854000 -- (-3092.500) [-3090.913] (-3096.021) (-3091.545) * [-3084.771] (-3092.297) (-3083.068) (-3074.266) -- 0:02:30
855000 -- [-3089.610] (-3087.695) (-3082.485) (-3095.578) * (-3090.601) (-3090.487) (-3091.751) [-3085.445] -- 0:02:29
Average standard deviation of split frequencies: 0.006364
856000 -- (-3101.655) (-3094.881) [-3091.322] (-3096.630) * (-3080.644) (-3092.610) (-3087.650) [-3080.832] -- 0:02:28
857000 -- (-3106.877) [-3080.603] (-3080.520) (-3091.515) * (-3079.142) (-3105.856) [-3078.513] (-3086.245) -- 0:02:27
858000 -- (-3103.622) (-3091.626) [-3074.997] (-3093.136) * (-3084.509) [-3084.252] (-3085.692) (-3090.491) -- 0:02:26
859000 -- (-3100.460) (-3094.349) [-3095.991] (-3094.061) * [-3081.275] (-3076.795) (-3086.134) (-3084.467) -- 0:02:25
860000 -- (-3098.324) [-3074.401] (-3098.490) (-3089.391) * [-3088.379] (-3072.685) (-3104.972) (-3079.348) -- 0:02:24
Average standard deviation of split frequencies: 0.006694
861000 -- (-3088.951) (-3091.644) (-3102.119) [-3087.432] * (-3096.345) (-3084.197) (-3097.693) [-3088.756] -- 0:02:23
862000 -- (-3086.072) [-3083.237] (-3099.798) (-3102.859) * (-3095.399) (-3087.941) [-3082.884] (-3092.711) -- 0:02:22
863000 -- (-3100.140) [-3089.484] (-3104.541) (-3108.411) * (-3081.792) [-3079.799] (-3095.395) (-3104.942) -- 0:02:20
864000 -- (-3099.318) (-3090.962) [-3089.198] (-3091.412) * (-3085.115) (-3096.132) [-3079.395] (-3100.605) -- 0:02:19
865000 -- (-3093.353) (-3091.944) (-3106.984) [-3072.217] * (-3080.995) [-3083.791] (-3101.330) (-3088.363) -- 0:02:18
Average standard deviation of split frequencies: 0.006552
866000 -- (-3098.107) (-3107.412) [-3089.383] (-3091.264) * [-3078.778] (-3082.869) (-3086.116) (-3087.091) -- 0:02:17
867000 -- (-3107.777) (-3093.321) [-3081.608] (-3091.732) * [-3080.369] (-3091.509) (-3085.102) (-3096.068) -- 0:02:16
868000 -- (-3114.240) (-3099.756) [-3091.777] (-3092.957) * (-3086.550) (-3088.020) [-3093.875] (-3116.422) -- 0:02:15
869000 -- (-3112.875) (-3084.448) [-3077.665] (-3080.542) * (-3087.205) (-3092.910) (-3092.980) [-3086.981] -- 0:02:14
870000 -- (-3115.183) (-3096.928) (-3077.425) [-3087.451] * [-3076.972] (-3090.994) (-3109.745) (-3097.391) -- 0:02:13
Average standard deviation of split frequencies: 0.006698
871000 -- [-3084.573] (-3102.511) (-3092.614) (-3083.830) * (-3101.707) (-3092.371) [-3090.538] (-3090.995) -- 0:02:12
872000 -- (-3106.035) (-3097.165) [-3096.271] (-3084.673) * (-3095.383) (-3087.197) [-3087.291] (-3080.888) -- 0:02:11
873000 -- (-3088.324) [-3089.699] (-3090.077) (-3108.465) * (-3092.173) [-3081.477] (-3091.227) (-3089.658) -- 0:02:10
874000 -- (-3088.701) [-3086.976] (-3088.018) (-3093.520) * (-3085.155) [-3085.585] (-3104.046) (-3108.949) -- 0:02:09
875000 -- (-3108.066) (-3092.731) [-3084.225] (-3097.940) * (-3091.397) (-3099.805) [-3090.954] (-3094.543) -- 0:02:08
Average standard deviation of split frequencies: 0.006717
876000 -- (-3103.004) (-3104.462) (-3085.824) [-3089.676] * (-3111.280) (-3093.593) (-3088.670) [-3081.883] -- 0:02:07
877000 -- [-3081.725] (-3097.812) (-3091.606) (-3092.205) * (-3123.775) (-3109.367) [-3085.210] (-3089.227) -- 0:02:06
878000 -- [-3082.545] (-3083.286) (-3105.513) (-3089.307) * (-3106.463) [-3092.120] (-3082.713) (-3101.362) -- 0:02:05
879000 -- (-3087.031) [-3095.474] (-3094.129) (-3091.692) * (-3087.188) (-3084.635) (-3090.445) [-3092.688] -- 0:02:04
880000 -- (-3085.618) [-3079.775] (-3097.377) (-3092.625) * (-3102.170) (-3083.791) (-3089.214) [-3094.781] -- 0:02:03
Average standard deviation of split frequencies: 0.006721
881000 -- (-3087.821) [-3083.625] (-3090.964) (-3082.167) * (-3094.465) [-3072.236] (-3090.117) (-3098.857) -- 0:02:02
882000 -- (-3084.561) (-3111.255) (-3097.421) [-3079.219] * [-3087.723] (-3081.181) (-3092.430) (-3103.717) -- 0:02:01
883000 -- (-3102.955) (-3090.537) [-3087.206] (-3106.358) * [-3073.341] (-3096.747) (-3090.789) (-3105.778) -- 0:02:00
884000 -- (-3097.995) [-3092.924] (-3089.512) (-3101.522) * (-3103.356) [-3082.967] (-3090.274) (-3098.906) -- 0:01:59
885000 -- (-3115.064) [-3083.439] (-3086.830) (-3093.784) * (-3092.997) (-3090.095) (-3075.434) [-3081.816] -- 0:01:58
Average standard deviation of split frequencies: 0.006759
886000 -- (-3086.990) (-3081.993) [-3081.324] (-3095.033) * (-3103.380) (-3102.365) [-3091.870] (-3104.005) -- 0:01:57
887000 -- [-3086.505] (-3122.779) (-3092.358) (-3089.290) * (-3109.497) (-3094.964) [-3089.229] (-3083.538) -- 0:01:56
888000 -- (-3091.520) (-3102.760) (-3102.148) [-3094.529] * (-3103.298) (-3093.964) (-3083.442) [-3091.311] -- 0:01:55
889000 -- (-3088.663) (-3108.070) [-3087.488] (-3105.134) * (-3114.838) [-3097.898] (-3090.136) (-3089.392) -- 0:01:54
890000 -- (-3090.856) [-3084.492] (-3089.596) (-3097.744) * [-3097.050] (-3094.061) (-3084.306) (-3095.694) -- 0:01:53
Average standard deviation of split frequencies: 0.006626
891000 -- (-3089.897) [-3090.230] (-3083.549) (-3097.093) * (-3088.805) [-3077.307] (-3099.378) (-3090.874) -- 0:01:52
892000 -- (-3089.082) [-3083.364] (-3094.485) (-3107.128) * (-3090.512) (-3104.723) [-3090.541] (-3104.987) -- 0:01:51
893000 -- (-3093.525) [-3091.966] (-3092.762) (-3089.460) * (-3102.214) (-3090.509) (-3088.891) [-3094.578] -- 0:01:49
894000 -- (-3115.262) (-3074.327) (-3081.319) [-3081.399] * [-3080.132] (-3086.084) (-3083.265) (-3098.683) -- 0:01:49
895000 -- (-3094.972) (-3076.304) [-3080.569] (-3082.859) * (-3082.844) (-3085.921) [-3085.684] (-3096.906) -- 0:01:48
Average standard deviation of split frequencies: 0.006625
896000 -- (-3112.390) [-3072.711] (-3078.697) (-3087.601) * (-3104.594) (-3084.330) [-3083.846] (-3089.217) -- 0:01:47
897000 -- (-3120.048) (-3085.416) [-3085.174] (-3098.109) * (-3096.392) (-3098.260) (-3097.692) [-3078.972] -- 0:01:45
898000 -- (-3101.448) [-3078.071] (-3101.489) (-3092.550) * (-3094.831) (-3107.394) [-3073.663] (-3081.114) -- 0:01:44
899000 -- (-3082.787) [-3077.442] (-3099.559) (-3111.272) * (-3092.017) (-3090.793) [-3082.783] (-3082.635) -- 0:01:43
900000 -- (-3095.334) [-3084.953] (-3094.077) (-3097.795) * [-3092.675] (-3097.304) (-3095.419) (-3086.065) -- 0:01:42
Average standard deviation of split frequencies: 0.006804
901000 -- (-3095.865) [-3069.200] (-3098.357) (-3082.254) * (-3095.390) (-3105.240) [-3084.227] (-3091.179) -- 0:01:41
902000 -- (-3107.380) (-3079.382) (-3080.824) [-3087.230] * (-3094.681) (-3093.807) [-3091.372] (-3095.724) -- 0:01:40
903000 -- (-3095.881) (-3092.697) [-3086.831] (-3094.686) * (-3102.246) [-3077.336] (-3093.350) (-3087.768) -- 0:01:39
904000 -- (-3082.755) (-3100.792) (-3086.730) [-3080.547] * (-3081.413) (-3100.782) [-3094.792] (-3101.817) -- 0:01:38
905000 -- [-3080.492] (-3105.952) (-3080.735) (-3084.535) * (-3103.230) (-3091.786) [-3093.898] (-3105.007) -- 0:01:37
Average standard deviation of split frequencies: 0.006957
906000 -- (-3090.241) (-3116.997) [-3082.575] (-3091.078) * (-3094.538) [-3086.309] (-3099.081) (-3091.888) -- 0:01:36
907000 -- (-3107.931) [-3080.753] (-3076.993) (-3105.899) * (-3106.357) (-3087.497) [-3087.603] (-3088.584) -- 0:01:35
908000 -- (-3104.277) (-3103.110) [-3086.360] (-3087.385) * (-3114.895) (-3082.654) (-3092.986) [-3086.436] -- 0:01:34
909000 -- (-3093.780) [-3077.697] (-3082.595) (-3087.671) * (-3089.817) (-3081.356) (-3094.378) [-3094.402] -- 0:01:33
910000 -- (-3097.270) [-3090.942] (-3105.820) (-3100.862) * [-3080.753] (-3094.736) (-3105.227) (-3086.560) -- 0:01:32
Average standard deviation of split frequencies: 0.006883
911000 -- (-3092.179) (-3086.029) (-3092.811) [-3088.446] * (-3100.034) (-3078.770) (-3089.667) [-3087.474] -- 0:01:31
912000 -- [-3095.784] (-3097.334) (-3092.595) (-3087.842) * (-3090.361) (-3084.235) (-3096.780) [-3075.313] -- 0:01:30
913000 -- (-3086.666) (-3099.720) (-3097.874) [-3087.192] * [-3074.387] (-3084.234) (-3093.149) (-3088.608) -- 0:01:29
914000 -- (-3088.619) (-3098.785) (-3102.312) [-3071.124] * [-3083.203] (-3091.005) (-3092.941) (-3093.753) -- 0:01:28
915000 -- [-3080.656] (-3094.230) (-3108.893) (-3087.485) * (-3093.386) [-3087.854] (-3088.223) (-3104.825) -- 0:01:27
Average standard deviation of split frequencies: 0.006862
916000 -- (-3105.610) [-3089.026] (-3090.170) (-3087.692) * (-3098.587) (-3087.562) [-3079.721] (-3095.647) -- 0:01:26
917000 -- (-3084.746) [-3091.898] (-3096.006) (-3096.235) * (-3089.392) (-3104.588) [-3098.081] (-3092.992) -- 0:01:25
918000 -- (-3102.971) [-3099.745] (-3095.366) (-3094.048) * (-3074.888) (-3086.132) (-3104.939) [-3075.981] -- 0:01:24
919000 -- (-3082.687) [-3091.843] (-3091.958) (-3087.895) * (-3096.713) [-3091.506] (-3093.395) (-3092.225) -- 0:01:23
920000 -- (-3087.499) (-3085.817) (-3097.398) [-3083.839] * (-3084.431) (-3084.791) [-3082.431] (-3092.593) -- 0:01:22
Average standard deviation of split frequencies: 0.006675
921000 -- (-3087.883) [-3078.712] (-3100.037) (-3104.666) * (-3092.126) (-3091.239) [-3095.832] (-3085.439) -- 0:01:21
922000 -- (-3090.625) [-3077.620] (-3101.802) (-3091.998) * (-3100.509) [-3081.890] (-3088.830) (-3086.640) -- 0:01:20
923000 -- (-3090.256) [-3087.367] (-3097.584) (-3102.519) * [-3095.462] (-3079.896) (-3094.456) (-3095.892) -- 0:01:19
924000 -- (-3101.260) [-3088.769] (-3105.240) (-3085.681) * (-3106.479) (-3093.774) (-3104.220) [-3084.001] -- 0:01:18
925000 -- (-3082.234) [-3079.642] (-3083.563) (-3102.255) * (-3109.805) [-3086.827] (-3088.548) (-3088.587) -- 0:01:17
Average standard deviation of split frequencies: 0.006901
926000 -- (-3089.399) (-3103.190) [-3086.812] (-3082.552) * (-3110.246) (-3089.101) [-3073.241] (-3099.823) -- 0:01:16
927000 -- (-3084.987) [-3079.918] (-3086.292) (-3083.297) * [-3092.261] (-3082.289) (-3084.809) (-3098.280) -- 0:01:15
928000 -- [-3085.418] (-3083.534) (-3087.340) (-3094.169) * (-3104.878) (-3108.163) (-3080.156) [-3089.697] -- 0:01:14
929000 -- (-3075.326) [-3077.549] (-3096.939) (-3086.586) * (-3113.990) (-3106.587) [-3081.849] (-3089.461) -- 0:01:13
930000 -- (-3083.748) [-3085.461] (-3095.444) (-3084.161) * (-3110.085) (-3086.324) (-3096.144) [-3097.312] -- 0:01:12
Average standard deviation of split frequencies: 0.006791
931000 -- (-3087.742) [-3084.262] (-3091.726) (-3097.121) * (-3091.206) [-3081.909] (-3094.012) (-3101.152) -- 0:01:11
932000 -- (-3096.295) (-3093.481) [-3074.319] (-3108.109) * (-3086.134) [-3087.800] (-3094.265) (-3097.830) -- 0:01:09
933000 -- (-3095.662) (-3090.479) (-3096.190) [-3086.628] * (-3099.196) (-3101.212) [-3088.203] (-3094.376) -- 0:01:08
934000 -- [-3093.583] (-3083.598) (-3091.150) (-3101.604) * (-3108.677) [-3089.931] (-3093.920) (-3101.417) -- 0:01:07
935000 -- [-3078.268] (-3097.569) (-3087.448) (-3083.242) * (-3096.823) (-3081.486) [-3084.740] (-3106.932) -- 0:01:06
Average standard deviation of split frequencies: 0.006678
936000 -- (-3095.852) (-3092.629) (-3097.916) [-3094.226] * [-3084.073] (-3094.464) (-3085.191) (-3091.595) -- 0:01:05
937000 -- [-3085.738] (-3088.229) (-3105.245) (-3081.552) * (-3107.392) (-3095.004) (-3097.542) [-3075.737] -- 0:01:04
938000 -- (-3089.768) (-3081.169) (-3092.769) [-3082.561] * (-3079.861) (-3092.172) (-3099.272) [-3070.190] -- 0:01:03
939000 -- (-3092.844) [-3077.424] (-3104.535) (-3092.268) * (-3087.915) (-3097.048) (-3089.487) [-3074.502] -- 0:01:02
940000 -- (-3083.931) [-3080.776] (-3101.837) (-3097.116) * (-3089.830) [-3086.767] (-3087.756) (-3089.484) -- 0:01:01
Average standard deviation of split frequencies: 0.006645
941000 -- [-3082.468] (-3091.332) (-3090.084) (-3096.769) * [-3076.167] (-3101.933) (-3092.462) (-3102.611) -- 0:01:00
942000 -- [-3075.325] (-3087.037) (-3095.006) (-3098.578) * (-3103.051) (-3098.352) (-3085.419) [-3092.315] -- 0:00:59
943000 -- (-3091.978) (-3096.126) (-3091.982) [-3084.946] * (-3087.016) (-3085.707) [-3085.634] (-3100.365) -- 0:00:58
944000 -- [-3100.867] (-3093.743) (-3088.982) (-3079.774) * (-3088.722) (-3089.443) (-3100.569) [-3086.655] -- 0:00:57
945000 -- (-3092.494) (-3088.707) (-3089.677) [-3079.444] * (-3096.610) (-3100.208) [-3097.041] (-3084.035) -- 0:00:56
Average standard deviation of split frequencies: 0.006478
946000 -- (-3100.381) [-3089.427] (-3087.010) (-3089.845) * (-3079.008) (-3081.480) [-3087.997] (-3092.966) -- 0:00:55
947000 -- (-3099.115) (-3094.991) (-3079.710) [-3090.499] * (-3081.440) [-3085.749] (-3090.577) (-3090.268) -- 0:00:54
948000 -- (-3093.760) (-3102.551) (-3089.257) [-3077.093] * [-3078.341] (-3097.502) (-3095.575) (-3097.149) -- 0:00:53
949000 -- (-3091.903) (-3097.440) [-3090.246] (-3100.240) * [-3078.795] (-3095.902) (-3105.480) (-3085.861) -- 0:00:52
950000 -- (-3086.046) (-3108.343) [-3086.419] (-3102.136) * (-3093.590) [-3078.256] (-3090.626) (-3094.335) -- 0:00:51
Average standard deviation of split frequencies: 0.006244
951000 -- (-3090.879) (-3094.402) (-3091.835) [-3089.126] * (-3078.625) (-3084.186) [-3103.736] (-3079.357) -- 0:00:50
952000 -- (-3085.246) (-3085.981) [-3072.449] (-3082.721) * (-3087.937) [-3083.754] (-3089.962) (-3097.141) -- 0:00:49
953000 -- (-3078.763) (-3086.967) (-3089.270) [-3077.796] * [-3078.696] (-3095.509) (-3094.576) (-3108.474) -- 0:00:48
954000 -- (-3090.638) (-3083.802) (-3095.783) [-3087.112] * [-3088.818] (-3089.353) (-3096.372) (-3107.064) -- 0:00:47
955000 -- (-3087.194) [-3087.865] (-3092.643) (-3090.089) * (-3086.731) (-3106.779) (-3091.826) [-3090.327] -- 0:00:46
Average standard deviation of split frequencies: 0.006228
956000 -- (-3084.701) [-3070.323] (-3099.462) (-3101.634) * [-3088.756] (-3104.692) (-3098.025) (-3080.065) -- 0:00:45
957000 -- (-3099.618) [-3075.089] (-3098.293) (-3112.296) * [-3085.733] (-3090.640) (-3106.993) (-3087.919) -- 0:00:44
958000 -- (-3108.590) [-3076.115] (-3105.988) (-3087.882) * (-3090.914) (-3083.799) (-3095.315) [-3086.758] -- 0:00:43
959000 -- [-3085.762] (-3089.002) (-3100.682) (-3097.791) * (-3089.496) [-3086.431] (-3113.312) (-3093.909) -- 0:00:42
960000 -- (-3104.160) [-3073.756] (-3080.543) (-3098.369) * (-3080.666) [-3081.681] (-3094.352) (-3083.537) -- 0:00:41
Average standard deviation of split frequencies: 0.006179
961000 -- (-3095.524) [-3075.111] (-3081.754) (-3096.749) * [-3078.371] (-3103.358) (-3098.214) (-3084.830) -- 0:00:40
962000 -- (-3083.857) [-3076.105] (-3083.737) (-3100.420) * (-3086.959) (-3103.233) (-3090.953) [-3093.927] -- 0:00:39
963000 -- [-3083.242] (-3092.594) (-3078.103) (-3087.590) * (-3088.910) (-3099.024) (-3097.968) [-3080.344] -- 0:00:38
964000 -- [-3101.540] (-3101.328) (-3084.502) (-3088.706) * (-3092.473) (-3096.282) (-3105.626) [-3094.060] -- 0:00:37
965000 -- (-3093.300) [-3086.860] (-3098.037) (-3093.637) * (-3094.466) [-3091.143] (-3096.600) (-3092.163) -- 0:00:36
Average standard deviation of split frequencies: 0.005874
966000 -- (-3115.318) [-3068.129] (-3097.975) (-3095.682) * (-3091.732) (-3097.872) [-3083.982] (-3111.578) -- 0:00:34
967000 -- (-3084.977) [-3081.201] (-3085.807) (-3094.811) * (-3078.959) (-3099.943) [-3090.407] (-3100.885) -- 0:00:33
968000 -- (-3080.757) (-3092.612) [-3084.952] (-3094.905) * [-3086.238] (-3095.092) (-3079.723) (-3104.360) -- 0:00:32
969000 -- [-3072.430] (-3083.919) (-3077.495) (-3099.719) * [-3090.467] (-3094.458) (-3098.555) (-3099.176) -- 0:00:31
970000 -- (-3088.747) (-3075.572) [-3067.800] (-3099.563) * [-3075.917] (-3083.419) (-3102.318) (-3099.975) -- 0:00:30
Average standard deviation of split frequencies: 0.005828
971000 -- (-3083.935) [-3086.072] (-3082.931) (-3088.370) * (-3082.466) (-3092.223) (-3093.374) [-3090.909] -- 0:00:29
972000 -- (-3084.486) (-3086.810) [-3080.216] (-3101.797) * (-3088.924) (-3108.042) (-3098.287) [-3085.089] -- 0:00:28
973000 -- (-3097.490) (-3103.606) [-3088.628] (-3095.137) * (-3088.140) (-3102.044) (-3083.962) [-3076.790] -- 0:00:27
974000 -- (-3081.735) (-3099.997) (-3089.280) [-3085.522] * [-3079.569] (-3111.592) (-3098.234) (-3088.696) -- 0:00:26
975000 -- (-3079.579) (-3103.953) [-3086.849] (-3082.053) * (-3088.023) [-3087.643] (-3086.692) (-3086.768) -- 0:00:25
Average standard deviation of split frequencies: 0.005563
976000 -- (-3106.391) [-3091.696] (-3091.678) (-3078.607) * (-3100.826) (-3099.515) [-3079.713] (-3082.493) -- 0:00:24
977000 -- (-3097.469) [-3092.448] (-3102.915) (-3084.384) * (-3093.080) [-3085.398] (-3082.111) (-3090.675) -- 0:00:23
978000 -- (-3098.558) (-3096.669) (-3094.399) [-3076.239] * [-3076.597] (-3086.133) (-3092.821) (-3084.050) -- 0:00:22
979000 -- [-3089.911] (-3091.048) (-3103.286) (-3081.931) * (-3094.129) (-3094.092) [-3086.102] (-3090.426) -- 0:00:21
980000 -- (-3095.032) (-3083.231) (-3093.500) [-3080.682] * (-3083.411) (-3092.919) [-3090.587] (-3095.786) -- 0:00:20
Average standard deviation of split frequencies: 0.005946
981000 -- [-3089.142] (-3122.105) (-3098.674) (-3083.981) * (-3095.494) (-3094.522) (-3093.110) [-3079.600] -- 0:00:19
982000 -- (-3093.488) (-3088.014) (-3098.778) [-3089.262] * [-3075.567] (-3092.434) (-3098.903) (-3096.425) -- 0:00:18
983000 -- (-3095.718) (-3097.488) (-3099.824) [-3083.275] * [-3085.433] (-3100.358) (-3083.993) (-3093.021) -- 0:00:17
984000 -- (-3106.936) (-3105.653) (-3111.209) [-3082.983] * (-3091.827) [-3096.182] (-3104.344) (-3103.858) -- 0:00:16
985000 -- [-3076.421] (-3094.202) (-3106.520) (-3083.482) * (-3091.970) [-3086.970] (-3094.184) (-3097.241) -- 0:00:15
Average standard deviation of split frequencies: 0.006233
986000 -- (-3098.925) (-3088.376) [-3090.131] (-3097.972) * (-3085.562) (-3085.454) (-3097.061) [-3087.526] -- 0:00:14
987000 -- (-3095.173) (-3093.524) (-3090.279) [-3090.040] * (-3085.311) (-3113.012) (-3101.413) [-3095.361] -- 0:00:13
988000 -- (-3088.280) (-3108.338) (-3084.052) [-3093.869] * (-3110.632) [-3078.822] (-3109.742) (-3103.031) -- 0:00:12
989000 -- (-3086.706) (-3102.282) [-3076.170] (-3090.517) * (-3076.665) (-3080.104) [-3084.693] (-3098.941) -- 0:00:11
990000 -- [-3073.618] (-3112.118) (-3082.354) (-3100.189) * (-3089.285) (-3093.134) [-3080.660] (-3103.685) -- 0:00:10
Average standard deviation of split frequencies: 0.006274
991000 -- [-3077.824] (-3093.126) (-3074.400) (-3093.799) * (-3100.873) (-3095.517) [-3086.347] (-3115.679) -- 0:00:09
992000 -- (-3086.733) [-3094.722] (-3095.292) (-3098.731) * (-3079.842) [-3083.751] (-3087.878) (-3093.102) -- 0:00:08
993000 -- [-3086.293] (-3094.396) (-3109.965) (-3092.579) * (-3084.796) (-3100.222) [-3085.644] (-3106.040) -- 0:00:07
994000 -- (-3105.868) (-3086.244) [-3087.909] (-3087.274) * [-3075.980] (-3097.954) (-3101.969) (-3094.560) -- 0:00:06
995000 -- (-3096.761) [-3071.881] (-3092.881) (-3099.867) * (-3094.486) (-3087.967) (-3096.644) [-3096.203] -- 0:00:05
Average standard deviation of split frequencies: 0.005820
996000 -- [-3086.169] (-3101.527) (-3092.035) (-3083.697) * [-3076.831] (-3083.463) (-3088.215) (-3091.479) -- 0:00:04
997000 -- (-3098.524) (-3086.568) [-3093.505] (-3102.126) * (-3091.112) (-3081.911) [-3087.341] (-3103.096) -- 0:00:03
998000 -- (-3116.701) (-3073.012) (-3095.081) [-3082.859] * (-3094.397) (-3094.366) (-3090.745) [-3084.513] -- 0:00:02
999000 -- (-3110.317) (-3086.513) (-3086.685) [-3088.298] * (-3083.479) [-3082.543] (-3109.156) (-3094.910) -- 0:00:01
1000000 -- (-3095.237) (-3088.947) (-3089.681) [-3091.117] * (-3098.527) [-3085.415] (-3106.919) (-3094.519) -- 0:00:00
Average standard deviation of split frequencies: 0.005653
Analysis completed in 17 mins 9 seconds
Analysis used 1027.75 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -3062.53
Likelihood of best state for "cold" chain of run 2 was -3063.12
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
46.7 % ( 37 %) Dirichlet(Revmat{all})
63.6 % ( 49 %) Slider(Revmat{all})
21.9 % ( 29 %) Dirichlet(Pi{all})
25.7 % ( 24 %) Slider(Pi{all})
55.7 % ( 35 %) Multiplier(Alpha{1,2})
57.8 % ( 39 %) Multiplier(Alpha{3})
58.3 % ( 39 %) Slider(Pinvar{all})
47.0 % ( 52 %) ExtSPR(Tau{all},V{all})
44.7 % ( 49 %) ExtTBR(Tau{all},V{all})
53.4 % ( 52 %) NNI(Tau{all},V{all})
43.7 % ( 38 %) ParsSPR(Tau{all},V{all})
27.1 % ( 21 %) Multiplier(V{all})
63.9 % ( 59 %) Nodeslider(V{all})
25.4 % ( 29 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
47.5 % ( 47 %) Dirichlet(Revmat{all})
63.9 % ( 57 %) Slider(Revmat{all})
22.3 % ( 24 %) Dirichlet(Pi{all})
25.6 % ( 22 %) Slider(Pi{all})
56.3 % ( 35 %) Multiplier(Alpha{1,2})
57.6 % ( 35 %) Multiplier(Alpha{3})
58.7 % ( 29 %) Slider(Pinvar{all})
46.2 % ( 51 %) ExtSPR(Tau{all},V{all})
44.8 % ( 38 %) ExtTBR(Tau{all},V{all})
53.1 % ( 51 %) NNI(Tau{all},V{all})
44.0 % ( 48 %) ParsSPR(Tau{all},V{all})
27.0 % ( 17 %) Multiplier(V{all})
64.0 % ( 65 %) Nodeslider(V{all})
25.4 % ( 18 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.53 0.23 0.08
2 | 166513 0.57 0.26
3 | 166455 166252 0.58
4 | 166854 166967 166959
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.54 0.24 0.08
2 | 166672 0.57 0.27
3 | 166497 166240 0.59
4 | 166737 166972 166882
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)
+------------------------------------------------------------+ -3080.30
|1 1 |
| 2 1 |
|2 2 1 |
| 1 1 2 2 12 1 2 1 1 |
| 2 2 2 112 1 22 1 1 2 |
| 1 121 1 21 2 22 12 1 2 *|
| 2 21 122 1 12 1 11 * 12 1 22 1 1 |
| 2 21 21 1 11 2 2 * 2 221 |
| 2 12 2 1 2 2 1 11 1 *1 2 |
| 1 1 1 1 1 1 |
| 2 2 2 |
| 1 2 2 2 1 2 2 1 |
| 2 2 2 |
| 1 2 |
| 2 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -3088.95
^ ^
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 -3072.71 -3099.73
2 -3070.87 -3107.10
--------------------------------------
TOTAL -3071.42 -3106.41
--------------------------------------
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} 0.137651 0.000228 0.107531 0.165913 0.136742 1316.79 1408.89 1.002
r(A<->C){all} 0.046399 0.000466 0.010608 0.088432 0.043338 508.38 705.24 1.000
r(A<->G){all} 0.290611 0.001918 0.212449 0.383041 0.287560 662.37 720.36 1.001
r(A<->T){all} 0.032701 0.000121 0.013134 0.054882 0.031500 725.43 937.92 1.000
r(C<->G){all} 0.031503 0.000338 0.001653 0.066695 0.028016 773.06 832.92 1.000
r(C<->T){all} 0.528462 0.002267 0.434447 0.619460 0.530655 763.00 920.15 1.000
r(G<->T){all} 0.070326 0.000289 0.040274 0.105912 0.069384 948.23 1000.93 1.000
pi(A){all} 0.233681 0.000116 0.212859 0.254665 0.233523 780.68 940.64 1.000
pi(C){all} 0.145660 0.000078 0.129405 0.163712 0.145458 841.23 1044.13 1.000
pi(G){all} 0.214188 0.000104 0.193680 0.233724 0.214274 1079.56 1126.34 1.000
pi(T){all} 0.406471 0.000151 0.382369 0.430677 0.406341 970.01 978.55 1.000
alpha{1,2} 0.266401 0.032646 0.000540 0.544202 0.235342 793.64 917.95 1.000
alpha{3} 1.873392 1.236436 0.352607 4.138759 1.615725 1203.60 1208.00 1.000
pinvar{all} 0.582119 0.009666 0.376726 0.741713 0.594343 726.11 841.48 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
Setting sumt conformat to Simple
Setting urn-in to 2500
Summarizing trees in files "/data/mrbayes_input.nex.run1.t" and "/data/mrbayes_input.nex.run2.t"
Using relative burnin ('relburnin=yes'), discarding the first 25 % of sampled trees
Writing statistics to files /data/mrbayes_input.nex.<parts|tstat|vstat|trprobs|con>
Examining first file ...
Found one tree block in file "/data/mrbayes_input.nex.run1.t" with 2001 trees in last block
Expecting the same number of trees in the last tree block of all files
Tree reading status:
0 10 20 30 40 50 60 70 80 90 100
v-------v-------v-------v-------v-------v-------v-------v-------v-------v-------v
*********************************************************************************
Read a total of 4002 trees in 2 files (sampling 3002 of them)
(Each file contained 2001 trees of which 1501 were sampled)
General explanation:
In an unrooted tree, a taxon bipartition (split) is specified by removing a
branch, thereby dividing the species into those to the left and those to the
right of the branch. Here, taxa to one side of the removed branch are denoted
'.' and those to the other side are denoted '*'. Specifically, the '.' symbol
is used for the taxa on the same side as the outgroup.
In a rooted or clock tree, the tree is rooted using the model and not by
reference to an outgroup. Each bipartition therefore corresponds to a clade,
that is, a group that includes all the descendants of a particular branch in
the tree. Taxa that are included in each clade are denoted using '*', and
taxa that are not included are denoted using the '.' symbol.
The output first includes a key to all the bipartitions with frequency larger
or equual to (Minpartfreq) in at least one run. Minpartfreq is a parameter to
sumt command and currently it is set to 0.10. This is followed by a table
with statistics for the informative bipartitions (those including at least
two taxa), sorted from highest to lowest probability. For each bipartition,
the table gives the number of times the partition or split was observed in all
runs (#obs) and the posterior probability of the bipartition (Probab.), which
is the same as the split frequency. If several runs are summarized, this is
followed by the minimum split frequency (Min(s)), the maximum frequency
(Max(s)), and the standard deviation of frequencies (Stddev(s)) across runs.
The latter value should approach 0 for all bipartitions as MCMC runs converge.
This is followed by a table summarizing branch lengths, node heights (if a
clock model was used) and relaxed clock parameters (if a relaxed clock model
was used). The mean, variance, and 95 % credible interval are given for each
of these parameters. If several runs are summarized, the potential scale
reduction factor (PSRF) is also given; it should approach 1 as runs converge.
Node heights will take calibration points into account, if such points were
used in the analysis.
Note that Stddev may be unreliable if the partition is not present in all
runs (the last column indicates the number of runs that sampled the partition
if more than one run is summarized). The PSRF is not calculated at all if
the partition is not present in all runs.The PSRF is also sensitive to small
sample sizes and it should only be considered a rough guide to convergence
since some of the assumptions allowing one to interpret it as a true potential
scale reduction factor are violated in MrBayes.
List of taxa in bipartitions:
1 -- C216
2 -- C7
3 -- C53
4 -- C113
5 -- C173
6 -- C197
7 -- C242
8 -- C11
9 -- C36
10 -- C57
11 -- C82
12 -- C85
13 -- C78
14 -- C238
15 -- C281
16 -- C60
17 -- C178
18 -- C32
19 -- C71
20 -- C66
21 -- C124
22 -- C65
23 -- C130
24 -- C131
25 -- C72
26 -- C77
27 -- C136
28 -- C93
29 -- C79
30 -- C84
Key to taxon bipartitions (saved to file "/data/mrbayes_input.nex.parts"):
ID -- Partition
------------------------------------
1 -- .*****************************
2 -- .*............................
3 -- ..*...........................
4 -- ...*..........................
5 -- ....*.........................
6 -- .....*........................
7 -- ......*.......................
8 -- .......*......................
9 -- ........*.....................
10 -- .........*....................
11 -- ..........*...................
12 -- ...........*..................
13 -- ............*.................
14 -- .............*................
15 -- ..............*...............
16 -- ...............*..............
17 -- ................*.............
18 -- .................*............
19 -- ..................*...........
20 -- ...................*..........
21 -- ....................*.........
22 -- .....................*........
23 -- ......................*.......
24 -- .......................*......
25 -- ........................*.....
26 -- .........................*....
27 -- ..........................*...
28 -- ...........................*..
29 -- ............................*.
30 -- .............................*
31 -- ...........*.................*
32 -- .*...*.**.***.****....**.*****
33 -- .*..**.**.***.****....**.*****
34 -- .....*....*...................
35 -- .*..**.******.****....**.*****
36 -- .**.**.******.****....**.*****
37 -- .**.**.******.****.*.***.*****
38 -- .*.....**..**.**.*....**.*****
39 -- .....*....*.....*.............
40 -- ........*.............*.......
41 -- ......*......*................
42 -- .**.****************.***.*****
43 -- .**.**.******.******.***.*****
44 -- ...................*.*........
45 -- .*******************.*********
46 -- .**.**.******.****...***.*****
47 -- .**.**.******.****.*..**.*****
48 -- ...*....................*.....
49 -- ......*.............*.........
50 -- .**.****************.*********
51 -- .*******************.***.*****
52 -- ......*......*......*.........
53 -- .**.**************.*.***.*****
54 -- .*****************.***********
55 -- ...*................*.........
56 -- .**.********************.*****
57 -- .***********************.*****
------------------------------------
Summary statistics for informative taxon bipartitions
(saved to file "/data/mrbayes_input.nex.tstat"):
ID #obs Probab. Sd(s)+ Min(s) Max(s) Nruns
----------------------------------------------------------------
31 3002 1.000000 0.000000 1.000000 1.000000 2
32 3002 1.000000 0.000000 1.000000 1.000000 2
33 3002 1.000000 0.000000 1.000000 1.000000 2
34 3002 1.000000 0.000000 1.000000 1.000000 2
35 2995 0.997668 0.000471 0.997335 0.998001 2
36 2978 0.992005 0.000942 0.991339 0.992672 2
37 2976 0.991339 0.003769 0.988674 0.994004 2
38 2844 0.947368 0.000942 0.946702 0.948035 2
39 2592 0.863424 0.007537 0.858095 0.868754 2
40 2051 0.683211 0.007066 0.678215 0.688208 2
41 2013 0.670553 0.015546 0.659560 0.681546 2
42 1726 0.574950 0.001884 0.573618 0.576282 2
43 1697 0.565290 0.010835 0.557628 0.572951 2
44 1510 0.502998 0.006595 0.498334 0.507662 2
45 1347 0.448701 0.007066 0.443704 0.453698 2
46 759 0.252831 0.000471 0.252498 0.253165 2
47 712 0.237175 0.002827 0.235177 0.239174 2
48 710 0.236509 0.000942 0.235843 0.237175 2
49 552 0.183877 0.020728 0.169221 0.198534 2
50 532 0.177215 0.004711 0.173884 0.180546 2
51 527 0.175550 0.002355 0.173884 0.177215 2
52 516 0.171885 0.005653 0.167888 0.175883 2
53 498 0.165889 0.017901 0.153231 0.178548 2
54 391 0.130247 0.007066 0.125250 0.135243 2
55 342 0.113924 0.013191 0.104597 0.123251 2
56 321 0.106929 0.010835 0.099267 0.114590 2
57 315 0.104930 0.003298 0.102598 0.107262 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] 0.001384 0.000001 0.000002 0.003327 0.001148 1.000 2
length{all}[2] 0.000598 0.000000 0.000000 0.001819 0.000408 1.000 2
length{all}[3] 0.007817 0.000006 0.003955 0.012994 0.007570 1.000 2
length{all}[4] 0.008513 0.000006 0.004070 0.013182 0.008230 1.000 2
length{all}[5] 0.003504 0.000002 0.000787 0.006605 0.003289 1.000 2
length{all}[6] 0.001130 0.000001 0.000013 0.002725 0.000935 1.000 2
length{all}[7] 0.006300 0.000005 0.002653 0.010691 0.005993 1.004 2
length{all}[8] 0.000590 0.000000 0.000000 0.001762 0.000422 1.000 2
length{all}[9] 0.001348 0.000001 0.000003 0.003160 0.001140 1.000 2
length{all}[10] 0.009248 0.000008 0.003951 0.014456 0.008959 1.000 2
length{all}[11] 0.004757 0.000003 0.001731 0.008176 0.004549 1.000 2
length{all}[12] 0.002385 0.000001 0.000489 0.004772 0.002160 1.000 2
length{all}[13] 0.000601 0.000000 0.000000 0.001761 0.000416 1.000 2
length{all}[14] 0.003530 0.000003 0.000777 0.006586 0.003328 1.000 2
length{all}[15] 0.001158 0.000001 0.000065 0.002856 0.000953 1.000 2
length{all}[16] 0.002408 0.000002 0.000341 0.004731 0.002200 1.000 2
length{all}[17] 0.001123 0.000001 0.000002 0.002752 0.000909 1.000 2
length{all}[18] 0.001165 0.000001 0.000066 0.002850 0.000960 1.000 2
length{all}[19] 0.002594 0.000002 0.000530 0.005226 0.002364 1.000 2
length{all}[20] 0.009873 0.000007 0.004901 0.015084 0.009552 1.000 2
length{all}[21] 0.006673 0.000005 0.002909 0.011180 0.006392 1.000 2
length{all}[22] 0.001224 0.000001 0.000002 0.002911 0.001031 1.000 2
length{all}[23] 0.001364 0.000001 0.000062 0.003165 0.001171 1.000 2
length{all}[24] 0.000605 0.000000 0.000000 0.001841 0.000410 1.000 2
length{all}[25] 0.000612 0.000000 0.000000 0.001859 0.000426 1.000 2
length{all}[26] 0.000579 0.000000 0.000000 0.001761 0.000398 1.000 2
length{all}[27] 0.001801 0.000001 0.000172 0.003905 0.001587 1.000 2
length{all}[28] 0.000581 0.000000 0.000000 0.001751 0.000406 1.000 2
length{all}[29] 0.001170 0.000001 0.000038 0.002839 0.001003 1.000 2
length{all}[30] 0.000593 0.000000 0.000000 0.001799 0.000411 1.000 2
length{all}[31] 0.002395 0.000001 0.000380 0.004722 0.002197 1.000 2
length{all}[32] 0.003933 0.000003 0.001053 0.007582 0.003696 1.000 2
length{all}[33] 0.017928 0.000017 0.010637 0.026385 0.017581 1.002 2
length{all}[34] 0.002478 0.000002 0.000504 0.005062 0.002253 1.000 2
length{all}[35] 0.004600 0.000004 0.001117 0.008439 0.004390 1.000 2
length{all}[36] 0.002410 0.000002 0.000244 0.004922 0.002167 1.002 2
length{all}[37] 0.001848 0.000001 0.000185 0.004142 0.001638 1.000 2
length{all}[38] 0.001864 0.000001 0.000157 0.003926 0.001667 1.000 2
length{all}[39] 0.001255 0.000001 0.000004 0.003199 0.001023 1.000 2
length{all}[40] 0.001179 0.000001 0.000039 0.002889 0.000983 1.000 2
length{all}[41] 0.001770 0.000001 0.000020 0.003878 0.001547 1.001 2
length{all}[42] 0.001234 0.000001 0.000038 0.002904 0.001035 1.000 2
length{all}[43] 0.001242 0.000001 0.000000 0.002984 0.001031 1.000 2
length{all}[44] 0.000957 0.000001 0.000002 0.002651 0.000739 0.999 2
length{all}[45] 0.001211 0.000001 0.000008 0.002917 0.001025 1.002 2
length{all}[46] 0.000662 0.000000 0.000000 0.002058 0.000451 1.002 2
length{all}[47] 0.000639 0.000000 0.000001 0.001879 0.000444 0.999 2
length{all}[48] 0.000611 0.000000 0.000000 0.001872 0.000418 1.002 2
length{all}[49] 0.001896 0.000001 0.000002 0.004075 0.001668 1.011 2
length{all}[50] 0.000649 0.000001 0.000002 0.001909 0.000431 0.998 2
length{all}[51] 0.000667 0.000000 0.000001 0.001972 0.000468 0.999 2
length{all}[52] 0.001322 0.000001 0.000022 0.003028 0.001126 0.999 2
length{all}[53] 0.001000 0.000001 0.000002 0.002793 0.000718 1.000 2
length{all}[54] 0.001142 0.000001 0.000039 0.002838 0.000920 0.998 2
length{all}[55] 0.001020 0.000001 0.000003 0.002796 0.000779 0.999 2
length{all}[56] 0.000900 0.000001 0.000008 0.002396 0.000704 0.997 2
length{all}[57] 0.000655 0.000000 0.000002 0.002136 0.000445 0.997 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 = 0.005653
Maximum standard deviation of split frequencies = 0.020728
Average PSRF for parameter values (excluding NA and >10.0) = 1.000
Maximum PSRF for parameter values = 1.011
Clade credibility values:
/--------------------------------------------------------------------- C216 (1)
|
|--------------------------------------------------------------------- C113 (4)
|
|--------------------------------------------------------------------- C124 (21)
|
|--------------------------------------------------------------------- C72 (25)
|
| /-------------- C7 (2)
| |
| |-------------- C11 (8)
| |
| | /------- C36 (9)
| |--68--+
| | \------- C130 (23)
| |
| | /------- C85 (12)
| |--100-+
| | \------- C84 (30)
| |
| |-------------- C78 (13)
| |
| /--95--+-------------- C281 (15)
| | |
| | |-------------- C60 (16)
| | |
| | |-------------- C32 (18)
+ | |
| | |-------------- C131 (24)
| | |
| | |-------------- C77 (26)
| | |
| /--100-+ |-------------- C136 (27)
| | | |
| | | |-------------- C93 (28)
| | | |
| | | \-------------- C79 (29)
| | |
| /-100-+ | /------- C197 (6)
| | | | /--100-+
| | | | | \------- C82 (11)
| | | \--86--+
| /--100-+ | \-------------- C178 (17)
| | | |
| | | \---------------------------- C173 (5)
| /--99--+ |
| | | \---------------------------------- C57 (10)
| | |
| /--99--+ \----------------------------------------- C53 (3)
| | |
| | | /------- C66 (20)
| /--57--+ \-------------------50-------------------+
| | | \------- C65 (22)
| | |
\--57--+ \------------------------------------------------------- C71 (19)
|
| /------- C242 (7)
\--------------------------67--------------------------+
\------- C238 (14)
Phylogram (based on average branch lengths):
/-- C216 (1)
|
|--------------- C113 (4)
|
|----------- C124 (21)
|
|- C72 (25)
|
| /- C7 (2)
| |
| |- C11 (8)
| |
| | /-- C36 (9)
| |-+
| | \-- C130 (23)
| |
| | /---- C85 (12)
| |---+
| | \- C84 (30)
| |
| |- C78 (13)
| |
| /--+-- C281 (15)
| | |
| | |---- C60 (16)
| | |
| | |-- C32 (18)
+ | |
| | |- C131 (24)
| | |
| | |- C77 (26)
| | |
| /-----+ |--- C136 (27)
| | | |
| | | |- C93 (28)
| | | |
| | | \-- C79 (29)
| | |
| /-------------------------------+ | /-- C197 (6)
| | | | /---+
| | | | | \-------- C82 (11)
| | | \-+
| /-------+ | \-- C178 (17)
| | | |
| | | \----- C173 (5)
| /--+ |
| | | \---------------- C57 (10)
| | |
| /--+ \-------------- C53 (3)
| | |
| | |/----------------- C66 (20)
| /-+ \+
| | | \-- C65 (22)
| | |
\-+ \---- C71 (19)
|
| /---------- C242 (7)
\--+
\------ C238 (14)
|-------| 0.005 expected changes per site
Calculating tree probabilities...
Credible sets of trees (3002 trees sampled):
50 % credible set contains 1501 trees
90 % credible set contains 2702 trees
95 % credible set contains 2852 trees
99 % credible set contains 2972 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 14:39:43 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_TM2_VIPR_ALG4_QEY10630_1_8451_9938_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Sat Nov 19 07:56:16 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_TM2_VIPR_ALG4_QEY10630_1_8451_9938_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/codeml,DcCoV_HKU23_camel_Morocco_CAC2586_2016_TM2_VIPR_ALG4_QEY10630_1_8451_9938_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 C238 1488 sites
reading seq# 2 C60 1488 sites
reading seq# 3 C281 1488 sites
reading seq# 4 C82 1488 sites
reading seq# 5 C32 1488 sites
reading seq# 6 C178 1488 sites
reading seq# 7 C71 1488 sites
reading seq# 8 C78 1488 sites
reading seq# 9 C93 1488 sites
reading seq#10 C66 1488 sites
reading seq#11 C7 1488 sites
reading seq#12 C216 1488 sites
reading seq#13 C53 1488 sites
reading seq#14 C124 1488 sites
reading seq#15 C65 1488 sites
reading seq#16 C173 1488 sites
reading seq#17 C113 1488 sites
reading seq#18 C197 1488 sites
reading seq#19 C131 1488 sites
reading seq#20 C130 1488 sites
reading seq#21 C11 1488 sites
reading seq#22 C242 1488 sites
reading seq#23 C77 1488 sites
reading seq#24 C136 1488 sites
reading seq#25 C72 1488 sites
reading seq#26 C57 1488 sites
reading seq#27 C36 1488 sites
reading seq#28 C84 1488 sites
reading seq#29 C79 1488 sites
reading seq#30 C85 1488 sitesns = 30 ls = 1488
Reading sequences, sequential format..
Reading seq # 1: C238
Reading seq # 2: C60
Reading seq # 3: C281
Reading seq # 4: C82
Reading seq # 5: C32
Reading seq # 6: C178
Reading seq # 7: C71
Reading seq # 8: C78
Reading seq # 9: C93
Reading seq #10: C66
Reading seq #11: C7
Reading seq #12: C216
Reading seq #13: C53
Reading seq #14: C124
Reading seq #15: C65
Reading seq #16: C173
Reading seq #17: C113
Reading seq #18: C197
Reading seq #19: C131
Reading seq #20: C130
Reading seq #21: C11
Reading seq #22: C242
Reading seq #23: C77
Reading seq #24: C136
Reading seq #25: C72
Reading seq #26: C57
Reading seq #27: C36
Reading seq #28: C84
Reading seq #29: C79
Reading seq #30: C85
Sequences read..
Counting site patterns.. 0:00
Compressing, 171 patterns at 496 / 496 sites (100.0%), 0:00
Collecting fpatt[] & pose[], 171 patterns at 496 / 496 sites (100.0%), 0:00
Counting codons..
3480 bytes for distance
166896 bytes for conP
15048 bytes for fhK
5000000 bytes for space
Model 1: NearlyNeutral
TREE # 1
(12, 17, 14, 25, ((((((((11, 21, (27, 20), (30, 28), 8, 3, 2, 5, 19, 23, 24, 9, 29), ((18, 4), 6)), 16), 26), 13), (10, 15)), 7), (22, 1))); MP score: 166
1251720 bytes for conP, adjusted
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
38
0.028881 0.034326 0.096441 0.082519 0.055947 0.033449 0.033444 0.036730 0.055164 0.033958 0.037314 0.042473 0.071486 0.015681 0.056872 0.027019 0.108059 0.015222 0.100322 0.090124 0.021641 0.074734 0.050942 0.044351 0.094117 0.060905 0.051819 0.084204 0.084750 0.015097 0.051814 0.082511 0.042906 0.070581 0.079950 0.087487 0.035896 0.047791 0.090394 0.068920 0.021658 0.013547 0.095246 0.036913 0.300000 0.743742 0.375903
ntime & nrate & np: 44 2 47
Bounds (np=47):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 0.999990 1.000000
Qfactor_NS = 10.961008
np = 47
lnL0 = -3908.542908
Iterating by ming2
Initial: fx= 3908.542908
x= 0.02888 0.03433 0.09644 0.08252 0.05595 0.03345 0.03344 0.03673 0.05516 0.03396 0.03731 0.04247 0.07149 0.01568 0.05687 0.02702 0.10806 0.01522 0.10032 0.09012 0.02164 0.07473 0.05094 0.04435 0.09412 0.06090 0.05182 0.08420 0.08475 0.01510 0.05181 0.08251 0.04291 0.07058 0.07995 0.08749 0.03590 0.04779 0.09039 0.06892 0.02166 0.01355 0.09525 0.03691 0.30000 0.74374 0.37590
1 h-m-p 0.0000 0.0000 2324.9371 ++ 3701.720303 m 0.0000 52 | 1/47
2 h-m-p 0.0000 0.0000 9453.5162 ++ 3639.846571 m 0.0000 102 | 2/47
3 h-m-p 0.0000 0.0000 6943.9485 ++ 3492.085658 m 0.0000 152 | 3/47
4 h-m-p 0.0000 0.0000 16589.0416 ++ 3400.988118 m 0.0000 202 | 2/47
5 h-m-p 0.0000 0.0000 112678.1286
h-m-p: 1.42271157e-23 7.11355784e-23 1.12678129e+05 3400.988118
.. | 2/47
6 h-m-p 0.0000 0.0000 12287.1558 YCCYC 3398.134881 4 0.0000 306 | 2/47
7 h-m-p 0.0000 0.0000 1962.8675 ++ 3352.746965 m 0.0000 356 | 3/47
8 h-m-p 0.0000 0.0000 10444.4510 ++ 3301.042393 m 0.0000 406 | 3/47
9 h-m-p 0.0000 0.0000 24112.7939 +CYYC 3297.262407 3 0.0000 462 | 3/47
10 h-m-p 0.0000 0.0000 225341.7907 ++ 3293.637312 m 0.0000 512 | 4/47
11 h-m-p 0.0000 0.0000 78070.1554 ++ 3269.908448 m 0.0000 562 | 4/47
12 h-m-p 0.0000 0.0000 35643.2780 +YCYYC 3264.085925 4 0.0000 618 | 4/47
13 h-m-p 0.0000 0.0000 17435.3020 ++ 3252.418620 m 0.0000 668 | 5/47
14 h-m-p 0.0000 0.0000 12686.7479 ++ 3245.087981 m 0.0000 718 | 6/47
15 h-m-p 0.0000 0.0000 16403.5798 +CYCYCCC 3235.183477 6 0.0000 779 | 6/47
16 h-m-p 0.0000 0.0000 11547.8354 ++ 3228.930371 m 0.0000 829 | 7/47
17 h-m-p 0.0000 0.0000 6795.9165 +YYYCYCCC 3225.034711 7 0.0000 890 | 7/47
18 h-m-p 0.0000 0.0000 15016.1721 ++ 3222.766617 m 0.0000 940 | 8/47
19 h-m-p 0.0000 0.0000 4667.4061 +YYYCYCCC 3207.655817 7 0.0000 1001 | 8/47
20 h-m-p 0.0000 0.0000 5361.9596 +YYYCCC 3205.356905 5 0.0000 1059 | 8/47
21 h-m-p 0.0000 0.0000 1189.4329 +YYCCCC 3201.204806 5 0.0000 1118 | 8/47
22 h-m-p 0.0000 0.0000 1891.9174 +YYYYC 3193.826538 4 0.0000 1173 | 8/47
23 h-m-p 0.0000 0.0000 7554.9435 +CYC 3192.309474 2 0.0000 1227 | 8/47
24 h-m-p 0.0000 0.0000 1236.8190 ++ 3191.617269 m 0.0000 1277 | 9/47
25 h-m-p 0.0000 0.0000 2814.6207 +YYYCYCCC 3178.549179 7 0.0000 1338 | 9/47
26 h-m-p 0.0000 0.0000 24677.1185 +YYYCCC 3166.114000 5 0.0000 1396 | 9/47
27 h-m-p 0.0000 0.0000 23377.3186 +YYYCCC 3159.107374 5 0.0000 1454 | 9/47
28 h-m-p 0.0000 0.0000 30044.6382 +CYYCCC 3132.420602 5 0.0000 1513 | 9/47
29 h-m-p 0.0000 0.0000 34484.5810 +YYYYC 3090.406271 4 0.0000 1568 | 9/47
30 h-m-p 0.0000 0.0000 2057.3409 YCCCC 3088.651754 4 0.0000 1625 | 9/47
31 h-m-p 0.0000 0.0000 2351.7458 YCCCC 3086.486899 4 0.0000 1682 | 9/47
32 h-m-p 0.0000 0.0000 774.8188 +CCYC 3082.671502 3 0.0000 1738 | 9/47
33 h-m-p 0.0000 0.0000 5852.7219 +YYCYCCC 3068.566206 6 0.0000 1798 | 9/47
34 h-m-p 0.0000 0.0000 938.3082 +YYCYCCC 3065.045019 6 0.0000 1858 | 8/47
35 h-m-p 0.0000 0.0000 5682.7542 ++ 3062.603209 m 0.0000 1908 | 8/47
36 h-m-p -0.0000 -0.0000 553.8564
h-m-p: -1.03145987e-21 -5.15729934e-21 5.53856437e+02 3062.603209
.. | 8/47
37 h-m-p 0.0000 0.0000 53386.6863 -YCYYYCC 3052.618200 6 0.0000 2014 | 8/47
38 h-m-p 0.0000 0.0000 2650.7065 YYCCCC 3040.935001 5 0.0000 2072 | 8/47
39 h-m-p 0.0000 0.0000 1031.5942 ++ 3034.735302 m 0.0000 2122 | 8/47
40 h-m-p 0.0000 0.0000 2993.1735 +YCYCCC 3027.801727 5 0.0000 2181 | 8/47
41 h-m-p 0.0000 0.0000 745.4761 +YCCC 3025.064533 3 0.0000 2237 | 8/47
42 h-m-p 0.0000 0.0000 1240.4891 CYCC 3024.407189 3 0.0000 2292 | 8/47
43 h-m-p 0.0000 0.0001 396.5975 YCC 3023.473010 2 0.0000 2345 | 8/47
44 h-m-p 0.0000 0.0001 274.0113 YCCC 3022.820774 3 0.0000 2400 | 8/47
45 h-m-p 0.0000 0.0000 280.6548 +YC 3022.601535 1 0.0000 2452 | 8/47
46 h-m-p 0.0000 0.0000 259.4882 ++ 3022.307666 m 0.0000 2502 | 9/47
47 h-m-p 0.0000 0.0000 186.3218 +YYCCC 3020.769925 4 0.0000 2559 | 9/47
48 h-m-p 0.0000 0.0000 341.4277 CCCC 3020.475135 3 0.0000 2615 | 9/47
49 h-m-p 0.0000 0.0000 609.3176 CCCC 3020.179072 3 0.0000 2671 | 9/47
50 h-m-p 0.0000 0.0001 718.0600 +YYYYC 3019.141992 4 0.0000 2726 | 9/47
51 h-m-p 0.0000 0.0001 1582.3793 YCCC 3017.546323 3 0.0000 2781 | 9/47
52 h-m-p 0.0000 0.0001 2507.6911 +YCCC 3013.346474 3 0.0001 2837 | 9/47
53 h-m-p 0.0000 0.0000 4998.3093 +YYCCC 3010.164792 4 0.0000 2894 | 9/47
54 h-m-p 0.0000 0.0001 4402.3300 +YCCC 3005.488684 3 0.0000 2950 | 9/47
55 h-m-p 0.0000 0.0000 6729.7087 YCC 3002.480854 2 0.0000 3003 | 9/47
56 h-m-p 0.0000 0.0001 4466.7356 +YCCCC 2996.192232 4 0.0000 3061 | 9/47
57 h-m-p 0.0000 0.0000 3422.1319 +YYCCCC 2992.492407 5 0.0000 3120 | 9/47
58 h-m-p 0.0000 0.0001 3895.2121 YCCCC 2989.038464 4 0.0000 3177 | 9/47
59 h-m-p 0.0000 0.0001 1765.7991 CYCCC 2987.336161 4 0.0000 3234 | 9/47
60 h-m-p 0.0000 0.0001 1448.6207 CCCC 2986.138084 3 0.0000 3290 | 9/47
61 h-m-p 0.0000 0.0001 1056.6475 YCCCC 2984.732654 4 0.0000 3347 | 9/47
62 h-m-p 0.0000 0.0001 690.5218 CC 2984.366436 1 0.0000 3399 | 9/47
63 h-m-p 0.0000 0.0002 133.3029 YC 2984.282640 1 0.0000 3450 | 9/47
64 h-m-p 0.0000 0.0003 80.9847 YC 2984.254204 1 0.0000 3501 | 9/47
65 h-m-p 0.0000 0.0009 32.8878 YC 2984.245251 1 0.0000 3552 | 9/47
66 h-m-p 0.0001 0.0023 11.2376 YC 2984.243312 1 0.0000 3603 | 9/47
67 h-m-p 0.0000 0.0034 8.0109 YC 2984.242354 1 0.0000 3654 | 9/47
68 h-m-p 0.0000 0.0057 7.5966 YC 2984.240137 1 0.0001 3705 | 9/47
69 h-m-p 0.0001 0.0048 4.5890 CC 2984.234251 1 0.0001 3757 | 9/47
70 h-m-p 0.0000 0.0008 14.4489 CC 2984.220865 1 0.0001 3809 | 9/47
71 h-m-p 0.0000 0.0016 40.3730 +CC 2984.105611 1 0.0001 3862 | 9/47
72 h-m-p 0.0000 0.0009 146.9014 +CCC 2983.388728 2 0.0002 3917 | 9/47
73 h-m-p 0.0001 0.0010 550.2043 +YCCCC 2977.209193 4 0.0005 3975 | 9/47
74 h-m-p 0.0000 0.0002 1112.7385 CCC 2975.985568 2 0.0000 4029 | 9/47
75 h-m-p 0.0001 0.0003 612.6105 YYCC 2975.310894 3 0.0000 4083 | 9/47
76 h-m-p 0.0004 0.0018 22.7565 YC 2975.298357 1 0.0001 4134 | 9/47
77 h-m-p 0.0024 1.2090 0.6866 ++++CCC 2969.941937 2 0.6092 4192 | 9/47
78 h-m-p 0.2726 1.3631 0.4404 +YYYCCC 2966.409172 5 0.9949 4288 | 9/47
79 h-m-p 0.2432 1.2158 0.8856 YCCC 2964.068323 3 0.5730 4381 | 9/47
80 h-m-p 0.4862 2.4308 0.6263 YCYC 2961.625222 3 0.9055 4473 | 9/47
81 h-m-p 0.4306 2.1528 0.4428 +YCCC 2959.889081 3 1.1490 4567 | 9/47
82 h-m-p 0.5646 2.8231 0.6714 CYCC 2959.256304 3 0.4699 4660 | 9/47
83 h-m-p 0.7107 3.5534 0.4402 CCCC 2958.505887 3 1.1508 4754 | 9/47
84 h-m-p 1.5210 7.7996 0.3331 YCCC 2958.257870 3 0.9404 4847 | 9/47
85 h-m-p 1.3371 8.0000 0.2343 CC 2958.129091 1 1.3389 4937 | 9/47
86 h-m-p 1.6000 8.0000 0.1410 YC 2958.090862 1 1.1141 5026 | 9/47
87 h-m-p 1.6000 8.0000 0.0914 CC 2958.065273 1 1.3714 5116 | 9/47
88 h-m-p 1.6000 8.0000 0.0453 YC 2958.011305 1 3.4569 5205 | 9/47
89 h-m-p 1.6000 8.0000 0.0124 YC 2957.901762 1 2.9648 5294 | 9/47
90 h-m-p 0.3504 5.7115 0.1050 +YCCCC 2957.744687 4 1.8148 5390 | 9/47
91 h-m-p 0.8429 6.7789 0.2260 CCC 2957.620197 2 1.1565 5482 | 9/47
92 h-m-p 1.6000 8.0000 0.0056 YCC 2957.582703 2 1.1496 5573 | 9/47
93 h-m-p 0.1236 8.0000 0.0519 +YC 2957.571118 1 1.0779 5663 | 9/47
94 h-m-p 1.6000 8.0000 0.0137 YC 2957.569373 1 0.8748 5752 | 9/47
95 h-m-p 1.5377 8.0000 0.0078 YC 2957.569004 1 0.9446 5841 | 9/47
96 h-m-p 1.6000 8.0000 0.0006 Y 2957.568946 0 1.1134 5929 | 9/47
97 h-m-p 0.5014 8.0000 0.0014 Y 2957.568936 0 0.8780 6017 | 9/47
98 h-m-p 1.6000 8.0000 0.0000 Y 2957.568934 0 0.8809 6105 | 9/47
99 h-m-p 0.3170 8.0000 0.0001 +C 2957.568934 0 1.1711 6194 | 9/47
100 h-m-p 1.6000 8.0000 0.0000 Y 2957.568934 0 1.2589 6282 | 9/47
101 h-m-p 0.7871 8.0000 0.0000 -C 2957.568934 0 0.0747 6371 | 9/47
102 h-m-p 0.0718 8.0000 0.0000 ---Y 2957.568934 0 0.0003 6462
Out..
lnL = -2957.568934
6463 lfun, 19389 eigenQcodon, 568744 P(t)
end of tree file.
Time used: 3:53
Model 2: PositiveSelection
TREE # 1
(12, 17, 14, 25, ((((((((11, 21, (27, 20), (30, 28), 8, 3, 2, 5, 19, 23, 24, 9, 29), ((18, 4), 6)), 16), 26), 13), (10, 15)), 7), (22, 1))); MP score: 166
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
38
0.077294 0.031628 0.018669 0.075499 0.049952 0.057454 0.099266 0.109527 0.106541 0.010056 0.095446 0.098963 0.076120 0.019728 0.105353 0.035290 0.078042 0.109489 0.107607 0.017474 0.042438 0.041370 0.079003 0.065189 0.038791 0.099315 0.094527 0.083508 0.029821 0.032146 0.014386 0.039999 0.042833 0.055021 0.037739 0.090158 0.025746 0.082824 0.077810 0.062115 0.029972 0.043932 0.088081 0.086566 6.352207 1.073363 0.538933 0.236972 1.359402
ntime & nrate & np: 44 3 49
Bounds (np=49):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 99.000000 99.000000 1.000000 999.000000
Qfactor_NS = 2.573874
np = 49
lnL0 = -3680.702314
Iterating by ming2
Initial: fx= 3680.702314
x= 0.07729 0.03163 0.01867 0.07550 0.04995 0.05745 0.09927 0.10953 0.10654 0.01006 0.09545 0.09896 0.07612 0.01973 0.10535 0.03529 0.07804 0.10949 0.10761 0.01747 0.04244 0.04137 0.07900 0.06519 0.03879 0.09931 0.09453 0.08351 0.02982 0.03215 0.01439 0.04000 0.04283 0.05502 0.03774 0.09016 0.02575 0.08282 0.07781 0.06211 0.02997 0.04393 0.08808 0.08657 6.35221 1.07336 0.53893 0.23697 1.35940
1 h-m-p 0.0000 0.0001 2408.3155 ++ 3463.071160 m 0.0001 54 | 1/49
2 h-m-p 0.0000 0.0000 2740.7139 ++ 3442.721656 m 0.0000 106 | 2/49
3 h-m-p 0.0000 0.0000 1951.2600 +CCYYCCC 3411.171690 6 0.0000 169 | 2/49
4 h-m-p 0.0000 0.0000 12140.4939 ++ 3363.095287 m 0.0000 221 | 3/49
5 h-m-p 0.0000 0.0000 17632.0307 ++ 3347.670121 m 0.0000 273 | 4/49
6 h-m-p 0.0000 0.0001 1639.8302 ++ 3260.767690 m 0.0001 325 | 5/49
7 h-m-p 0.0000 0.0000 1229.8345 ++ 3257.157547 m 0.0000 377 | 6/49
8 h-m-p 0.0000 0.0000 2094.1321 ++ 3246.285256 m 0.0000 429 | 7/49
9 h-m-p 0.0000 0.0000 4347.8411 ++ 3228.746327 m 0.0000 481 | 8/49
10 h-m-p 0.0000 0.0000 3282.5219 ++ 3193.520193 m 0.0000 533 | 8/49
11 h-m-p 0.0000 0.0000 4501.4911 ++ 3188.209016 m 0.0000 585 | 8/49
12 h-m-p 0.0000 0.0000 81742.6393 +YYCYCYC 3183.826613 6 0.0000 646 | 8/49
13 h-m-p 0.0000 0.0000 28890.5532 +CYCYYCCC 3169.409555 7 0.0000 710 | 8/49
14 h-m-p 0.0000 0.0000 10931.5197 ++ 3162.018289 m 0.0000 762 | 8/49
15 h-m-p 0.0000 0.0000 3287.0910
h-m-p: 1.47673443e-22 7.38367215e-22 3.28709095e+03 3162.018289
.. | 8/49
16 h-m-p 0.0000 0.0000 4189.2753 CYYYYC 3152.741949 5 0.0000 869 | 8/49
17 h-m-p 0.0000 0.0000 1026.1042 ++ 3150.660156 m 0.0000 921 | 9/49
18 h-m-p 0.0000 0.0000 4860.9258 +CCYC 3133.333605 3 0.0000 980 | 9/49
19 h-m-p 0.0000 0.0000 16358.2338 +YCYCCC 3131.737455 5 0.0000 1041 | 9/49
20 h-m-p 0.0000 0.0000 11686.1491 +CYYCC 3127.260129 4 0.0000 1100 | 9/49
21 h-m-p 0.0000 0.0000 54631.6032 +YYCYYC 3120.238180 5 0.0000 1160 | 9/49
22 h-m-p 0.0000 0.0000 7147.9099 +YYYYYC 3107.066590 5 0.0000 1218 | 9/49
23 h-m-p 0.0000 0.0000 5915.0761 +YYYYCYCCC 3091.224316 8 0.0000 1282 | 9/49
24 h-m-p 0.0000 0.0000 9471.7841 +YYCCC 3081.985023 4 0.0000 1341 | 9/49
25 h-m-p 0.0000 0.0000 3920.5064 +YYCCCC 3071.227273 5 0.0000 1402 | 9/49
26 h-m-p 0.0000 0.0000 4966.2394 +YCYCCC 3059.841716 5 0.0000 1463 | 9/49
27 h-m-p 0.0000 0.0000 2551.5641 +YYYCCC 3053.044661 5 0.0000 1523 | 9/49
28 h-m-p 0.0000 0.0000 1522.4372 +YCYYCYCCC 3035.251365 8 0.0000 1588 | 9/49
29 h-m-p 0.0000 0.0000 1106.1581 +YYCCCC 3034.461843 5 0.0000 1649 | 9/49
30 h-m-p 0.0000 0.0000 389.5683 ++ 3031.759692 m 0.0000 1701 | 10/49
31 h-m-p 0.0000 0.0002 350.9957 +YCYC 3029.908230 3 0.0001 1758 | 10/49
32 h-m-p 0.0000 0.0000 375.5925 YCYCC 3028.997954 4 0.0000 1816 | 10/49
33 h-m-p 0.0000 0.0001 189.5487 YCCCC 3028.397589 4 0.0000 1875 | 10/49
34 h-m-p 0.0000 0.0002 445.4789 CYC 3028.043483 2 0.0000 1930 | 10/49
35 h-m-p 0.0000 0.0002 198.4523 +YCCC 3027.280167 3 0.0001 1988 | 10/49
36 h-m-p 0.0000 0.0001 617.7571 CCCC 3026.676499 3 0.0000 2046 | 10/49
37 h-m-p 0.0000 0.0002 391.4575 CCCC 3025.878433 3 0.0001 2104 | 10/49
38 h-m-p 0.0000 0.0002 356.3506 YCCC 3025.002036 3 0.0001 2161 | 10/49
39 h-m-p 0.0000 0.0001 1151.4603 YCCC 3024.086738 3 0.0000 2218 | 10/49
40 h-m-p 0.0000 0.0003 1043.7931 +YYCC 3020.781539 3 0.0001 2275 | 10/49
41 h-m-p 0.0001 0.0003 1877.2071 +YYYCYCCC 3005.659348 7 0.0002 2338 | 10/49
42 h-m-p 0.0000 0.0000 17519.2616 ++ 2998.147815 m 0.0000 2390 | 11/49
43 h-m-p 0.0000 0.0001 9205.5332 YCCC 2992.601924 3 0.0000 2447 | 11/49
44 h-m-p 0.0000 0.0002 1066.3587 CCCC 2990.974518 3 0.0001 2505 | 11/49
45 h-m-p 0.0000 0.0001 496.0564 CCCC 2990.481923 3 0.0000 2563 | 10/49
46 h-m-p 0.0001 0.0005 256.3965 CCCC 2988.866032 3 0.0001 2621 | 10/49
47 h-m-p 0.0000 0.0001 91.2423 CCCC 2988.649982 3 0.0000 2679 | 10/49
48 h-m-p 0.0000 0.0009 107.3164 +YC 2987.696317 1 0.0003 2733 | 10/49
49 h-m-p 0.0000 0.0002 435.4178 CCCC 2987.281579 3 0.0000 2791 | 10/49
50 h-m-p 0.0000 0.0002 83.1324 CC 2987.212218 1 0.0000 2845 | 10/49
51 h-m-p 0.0001 0.0011 27.1743 YC 2987.193934 1 0.0001 2898 | 10/49
52 h-m-p 0.0002 0.0035 6.2529 CC 2987.190135 1 0.0001 2952 | 10/49
53 h-m-p 0.0001 0.0196 3.5325 ++CCC 2986.844475 2 0.0034 3010 | 10/49
54 h-m-p 0.0000 0.0008 247.0299 +CYCCC 2984.001952 4 0.0003 3070 | 10/49
55 h-m-p 0.0000 0.0002 1525.7252 +CYCCC 2970.993182 4 0.0002 3130 | 10/49
56 h-m-p 0.0045 0.0223 2.1217 +YYCCC 2970.099488 4 0.0149 3189 | 9/49
57 h-m-p 0.0000 0.0000 2325.1913 ++ 2969.756580 m 0.0000 3241 | 9/49
58 h-m-p 0.0000 0.0000 1.9126
h-m-p: 1.86033275e-19 9.30166375e-19 1.91256927e+00 2969.756580
.. | 9/49
59 h-m-p 0.0000 0.0000 1438.1786 YYCCC 2965.789906 4 0.0000 3348 | 9/49
60 h-m-p 0.0000 0.0000 716.2543 ++ 2964.703904 m 0.0000 3400 | 10/49
61 h-m-p 0.0000 0.0000 963.2935 +YYCYC 2962.796323 4 0.0000 3458 | 10/49
62 h-m-p 0.0000 0.0001 161.6392 CCCC 2962.551888 3 0.0000 3516 | 10/49
63 h-m-p 0.0000 0.0001 249.1109 CYC 2962.327855 2 0.0000 3571 | 10/49
64 h-m-p 0.0000 0.0001 188.1796 YC 2962.193556 1 0.0000 3624 | 10/49
65 h-m-p 0.0000 0.0002 100.0378 YYC 2962.096501 2 0.0000 3678 | 10/49
66 h-m-p 0.0000 0.0001 139.2188 YC 2962.042453 1 0.0000 3731 | 10/49
67 h-m-p 0.0000 0.0001 90.4706 CC 2961.992874 1 0.0000 3785 | 10/49
68 h-m-p 0.0000 0.0002 85.3011 YC 2961.964582 1 0.0000 3838 | 10/49
69 h-m-p 0.0000 0.0002 60.5329 C 2961.942293 0 0.0000 3890 | 10/49
70 h-m-p 0.0000 0.0002 43.8242 YC 2961.933707 1 0.0000 3943 | 10/49
71 h-m-p 0.0000 0.0007 28.9711 CC 2961.926103 1 0.0000 3997 | 10/49
72 h-m-p 0.0000 0.0006 32.7028 CC 2961.919624 1 0.0000 4051 | 10/49
73 h-m-p 0.0000 0.0005 43.4694 CC 2961.913535 1 0.0000 4105 | 10/49
74 h-m-p 0.0000 0.0004 51.2475 CC 2961.905321 1 0.0000 4159 | 10/49
75 h-m-p 0.0000 0.0004 91.0044 YC 2961.892044 1 0.0000 4212 | 10/49
76 h-m-p 0.0000 0.0009 72.2913 CC 2961.876816 1 0.0000 4266 | 10/49
77 h-m-p 0.0000 0.0002 220.2535 CC 2961.854198 1 0.0000 4320 | 10/49
78 h-m-p 0.0000 0.0003 334.0680 YC 2961.806009 1 0.0000 4373 | 10/49
79 h-m-p 0.0000 0.0003 518.3252 CCC 2961.750602 2 0.0000 4429 | 10/49
80 h-m-p 0.0000 0.0002 940.2209 +YYC 2961.560292 2 0.0000 4484 | 10/49
81 h-m-p 0.0000 0.0002 3050.6533 +YCC 2960.980723 2 0.0000 4540 | 10/49
82 h-m-p 0.0000 0.0001 6644.8634 YCCC 2960.295203 3 0.0000 4597 | 10/49
83 h-m-p 0.0000 0.0001 8379.2447 CCCC 2959.786901 3 0.0000 4655 | 10/49
84 h-m-p 0.0000 0.0001 3577.6658 CYC 2959.367865 2 0.0000 4710 | 10/49
85 h-m-p 0.0000 0.0003 2342.3608 CCC 2959.012647 2 0.0000 4766 | 10/49
86 h-m-p 0.0000 0.0002 1664.7849 YCC 2958.820015 2 0.0000 4821 | 10/49
87 h-m-p 0.0001 0.0003 688.1625 YC 2958.746964 1 0.0000 4874 | 10/49
88 h-m-p 0.0000 0.0004 497.2959 CC 2958.674840 1 0.0000 4928 | 10/49
89 h-m-p 0.0001 0.0009 207.8744 C 2958.657974 0 0.0000 4980 | 10/49
90 h-m-p 0.0001 0.0013 62.4410 YC 2958.650490 1 0.0000 5033 | 10/49
91 h-m-p 0.0001 0.0013 18.5476 YC 2958.649502 1 0.0000 5086 | 10/49
92 h-m-p 0.0000 0.0067 8.6965 C 2958.648845 0 0.0000 5138 | 10/49
93 h-m-p 0.0001 0.0046 2.8512 C 2958.648759 0 0.0000 5190 | 9/49
94 h-m-p 0.0000 0.0136 1.7208 YC 2958.648595 1 0.0001 5243 | 9/49
95 h-m-p 0.0004 0.1973 4.1712 +++CCC 2958.455837 2 0.0298 5302 | 9/49
96 h-m-p 0.0000 0.0002 4916.5865 CC 2958.274049 1 0.0000 5356 | 9/49
97 h-m-p 0.0001 0.0004 2256.1374 +CYCCC 2957.312487 4 0.0003 5416 | 9/49
98 h-m-p 0.4214 2.1069 0.7928 CCC 2956.544876 2 0.6411 5472 | 9/49
99 h-m-p 0.8157 8.0000 0.6231 CYC 2956.352729 2 0.5514 5567 | 9/49
100 h-m-p 0.5872 2.9358 0.4137 CCC 2956.209437 2 0.6229 5663 | 9/49
101 h-m-p 1.3628 7.8217 0.1891 YYC 2956.151367 2 1.1177 5757 | 9/49
102 h-m-p 1.4408 8.0000 0.1467 CC 2956.123598 1 1.6156 5851 | 9/49
103 h-m-p 1.0048 8.0000 0.2359 YC 2956.071724 1 2.4759 5944 | 9/49
104 h-m-p 1.6000 8.0000 0.3130 CC 2956.016258 1 2.2398 6038 | 9/49
105 h-m-p 1.6000 8.0000 0.2498 CC 2955.991536 1 1.8162 6132 | 9/49
106 h-m-p 1.6000 8.0000 0.2733 YCC 2955.973112 2 2.7586 6227 | 9/49
107 h-m-p 1.6000 8.0000 0.3472 CC 2955.962951 1 2.0121 6321 | 9/49
108 h-m-p 1.6000 8.0000 0.2925 CC 2955.959356 1 1.4308 6415 | 9/49
109 h-m-p 0.6053 8.0000 0.6913 CC 2955.957164 1 0.8285 6509 | 9/49
110 h-m-p 1.3534 8.0000 0.4232 CC 2955.955297 1 1.8294 6603 | 9/49
111 h-m-p 1.6000 8.0000 0.3783 CY 2955.954384 1 2.1072 6697 | 9/49
112 h-m-p 1.6000 8.0000 0.3835 C 2955.953998 0 2.2487 6789 | 9/49
113 h-m-p 1.6000 8.0000 0.3641 C 2955.953818 0 2.0036 6881 | 9/49
114 h-m-p 1.6000 8.0000 0.3538 C 2955.953741 0 2.4619 6973 | 9/49
115 h-m-p 1.6000 8.0000 0.3771 C 2955.953706 0 2.0852 7065 | 9/49
116 h-m-p 1.6000 8.0000 0.3613 C 2955.953691 0 2.0971 7157 | 9/49
117 h-m-p 1.6000 8.0000 0.3711 C 2955.953684 0 2.2889 7249 | 9/49
118 h-m-p 1.6000 8.0000 0.3722 C 2955.953680 0 2.3223 7341 | 9/49
119 h-m-p 1.6000 8.0000 0.3482 C 2955.953679 0 1.9497 7433 | 9/49
120 h-m-p 1.6000 8.0000 0.3808 C 2955.953679 0 2.3120 7525 | 9/49
121 h-m-p 1.6000 8.0000 0.3970 C 2955.953678 0 2.3033 7617 | 9/49
122 h-m-p 1.6000 8.0000 0.2945 C 2955.953678 0 1.8478 7709 | 9/49
123 h-m-p 1.4168 8.0000 0.3841 Y 2955.953678 0 2.4786 7801 | 9/49
124 h-m-p 1.6000 8.0000 0.5307 +C 2955.953678 0 5.7140 7894 | 9/49
125 h-m-p 1.6000 8.0000 0.8034 --C 2955.953678 0 0.0387 7988 | 9/49
126 h-m-p 0.0207 8.0000 1.4992 -------------.. | 9/49
127 h-m-p 0.0000 0.0157 0.4204 -Y 2955.953678 0 0.0000 8144 | 9/49
128 h-m-p 0.0002 0.0940 0.0759 --Y 2955.953678 0 0.0000 8238 | 9/49
129 h-m-p 0.0006 0.2795 0.0369 --C 2955.953678 0 0.0000 8332 | 9/49
130 h-m-p 0.0035 1.7332 0.0247 --Y 2955.953678 0 0.0000 8426 | 9/49
131 h-m-p 0.0007 0.3339 0.0244 --C 2955.953678 0 0.0000 8520 | 9/49
132 h-m-p 0.0020 1.0222 0.0206 ---Y 2955.953678 0 0.0000 8615 | 9/49
133 h-m-p 0.0101 5.0266 0.0049 ---Y 2955.953678 0 0.0000 8710 | 9/49
134 h-m-p 0.0039 1.9463 0.0043 ---C 2955.953678 0 0.0000 8805 | 9/49
135 h-m-p 0.0160 8.0000 0.0030 ---Y 2955.953678 0 0.0000 8900 | 9/49
136 h-m-p 0.0160 8.0000 0.0032 ----Y 2955.953678 0 0.0000 8996 | 9/49
137 h-m-p 0.0076 3.7842 0.0023 ----C 2955.953678 0 0.0000 9092 | 9/49
138 h-m-p 0.0160 8.0000 0.0028 ------C 2955.953678 0 0.0000 9190 | 9/49
139 h-m-p 0.0160 8.0000 0.0016 -------C 2955.953678 0 0.0000 9289 | 9/49
140 h-m-p 0.0122 6.0954 0.0060 -------------.. | 9/49
141 h-m-p 0.0160 8.0000 0.3278 ------------- | 9/49
142 h-m-p 0.0160 8.0000 0.3278 -------------
Out..
lnL = -2955.953678
9599 lfun, 38396 eigenQcodon, 1267068 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) = -2967.086432 S = -2857.131937 -111.229358
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 171 patterns 12:30
did 20 / 171 patterns 12:30
did 30 / 171 patterns 12:30
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did 140 / 171 patterns 12:31
did 150 / 171 patterns 12:31
did 160 / 171 patterns 12:31
did 170 / 171 patterns 12:31
did 171 / 171 patterns 12:31end of tree file.
Time used: 12:31
Model 7: beta
TREE # 1
(12, 17, 14, 25, ((((((((11, 21, (27, 20), (30, 28), 8, 3, 2, 5, 19, 23, 24, 9, 29), ((18, 4), 6)), 16), 26), 13), (10, 15)), 7), (22, 1))); MP score: 166
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
38
0.023234 0.054708 0.061596 0.087103 0.023198 0.071402 0.102588 0.083482 0.045077 0.070580 0.104178 0.074297 0.044007 0.108140 0.029706 0.100086 0.052354 0.086346 0.024972 0.095515 0.031843 0.086437 0.033189 0.042058 0.090021 0.069112 0.098522 0.053389 0.078279 0.066317 0.062883 0.054435 0.063598 0.062785 0.035671 0.090002 0.041213 0.040756 0.091162 0.073948 0.030383 0.036316 0.023206 0.064808 6.482245 0.804558 1.208002
ntime & nrate & np: 44 1 47
Bounds (np=47):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 99.000000 99.000000
Qfactor_NS = 3.639502
np = 47
lnL0 = -3647.863952
Iterating by ming2
Initial: fx= 3647.863952
x= 0.02323 0.05471 0.06160 0.08710 0.02320 0.07140 0.10259 0.08348 0.04508 0.07058 0.10418 0.07430 0.04401 0.10814 0.02971 0.10009 0.05235 0.08635 0.02497 0.09551 0.03184 0.08644 0.03319 0.04206 0.09002 0.06911 0.09852 0.05339 0.07828 0.06632 0.06288 0.05443 0.06360 0.06279 0.03567 0.09000 0.04121 0.04076 0.09116 0.07395 0.03038 0.03632 0.02321 0.06481 6.48225 0.80456 1.20800
1 h-m-p 0.0000 0.0001 1574.8768 ++ 3420.864205 m 0.0001 99 | 0/47
2 h-m-p 0.0000 0.0000 133192.5405
h-m-p: 9.61015891e-24 4.80507945e-23 1.33192540e+05 3420.864205
.. | 0/47
3 h-m-p 0.0000 0.0000 1642.7686 ++ 3377.712841 m 0.0000 290 | 1/47
4 h-m-p 0.0000 0.0000 89608.8375 ++ 3343.478075 m 0.0000 387 | 1/47
5 h-m-p 0.0000 0.0000 234686.0476
h-m-p: 2.99690079e-24 1.49845040e-23 2.34686048e+05 3343.478075
.. | 1/47
6 h-m-p 0.0000 0.0000 1617.9264 ++ 3299.396668 m 0.0000 576 | 2/47
7 h-m-p 0.0000 0.0000 410385.5319 ++ 3285.212181 m 0.0000 672 | 3/47
8 h-m-p 0.0000 0.0000 39766.9910 ++ 3222.966933 m 0.0000 767 | 4/47
9 h-m-p 0.0000 0.0000 37141.7099 ++ 3176.445883 m 0.0000 861 | 4/47
10 h-m-p 0.0000 0.0000 8474.2757
h-m-p: 8.14090170e-23 4.07045085e-22 8.47427565e+03 3176.445883
.. | 4/47
11 h-m-p 0.0000 0.0000 4429.5093 ++ 3160.009784 m 0.0000 1044 | 5/47
12 h-m-p 0.0000 0.0000 1657.5647 ++ 3126.763455 m 0.0000 1137 | 5/47
13 h-m-p 0.0000 0.0000 7603.6809 ++ 3100.791427 m 0.0000 1229 | 5/47
14 h-m-p 0.0000 0.0000 12755.7055 ++ 3095.848456 m 0.0000 1321 | 5/47
15 h-m-p -0.0000 -0.0000 28103.0192
h-m-p: -1.07737095e-24 -5.38685477e-24 2.81030192e+04 3095.848456
.. | 5/47
16 h-m-p 0.0000 0.0000 2723.6795 ++ 3087.420302 m 0.0000 1502 | 6/47
17 h-m-p 0.0000 0.0000 1499.3174 ++ 3075.953671 m 0.0000 1594 | 7/47
18 h-m-p 0.0000 0.0000 6486.2266 ++ 3060.911641 m 0.0000 1685 | 8/47
19 h-m-p 0.0000 0.0000 6397.5949 ++ 3040.914439 m 0.0000 1775 | 9/47
20 h-m-p 0.0000 0.0000 2068.5649 +YYYYCCCC 3036.365785 7 0.0000 1875 | 9/47
21 h-m-p 0.0000 0.0000 2815.4042 +YYCCCC 3033.095365 5 0.0000 1972 | 9/47
22 h-m-p 0.0000 0.0000 2144.0766 +YYYYYYYC 3019.720641 7 0.0000 2068 | 9/47
23 h-m-p 0.0000 0.0000 2256.1923 +YYCYYCCC 3014.943418 7 0.0000 2167 | 9/47
24 h-m-p 0.0000 0.0000 150.9930 CCCC 3014.822238 3 0.0000 2261 | 9/47
25 h-m-p 0.0000 0.0002 257.7515 +YCC 3014.414171 2 0.0000 2353 | 9/47
26 h-m-p 0.0000 0.0001 261.2697 CCC 3014.266487 2 0.0000 2445 | 9/47
27 h-m-p 0.0000 0.0002 229.7382 +CCCCC 3013.630448 4 0.0001 2542 | 9/47
28 h-m-p 0.0000 0.0001 1185.7805 CCC 3012.775151 2 0.0000 2634 | 9/47
29 h-m-p 0.0000 0.0001 679.4337 YCCCC 3011.580770 4 0.0000 2729 | 9/47
30 h-m-p 0.0000 0.0001 1584.7417 +YYCCC 3009.044848 4 0.0000 2824 | 9/47
31 h-m-p 0.0000 0.0000 9023.3659 +YYCCC 3001.730228 4 0.0000 2919 | 9/47
32 h-m-p 0.0000 0.0000 14127.6196 +YYCYYC 2995.030952 5 0.0000 3015 | 9/47
33 h-m-p 0.0000 0.0000 63729.5380 +YCYCCC 2990.557536 5 0.0000 3112 | 9/47
34 h-m-p 0.0000 0.0000 150018.1313 +YYCCC 2988.876231 4 0.0000 3207 | 9/47
35 h-m-p 0.0000 0.0000 2957.0888 YCYCCC 2987.969543 5 0.0000 3303 | 9/47
36 h-m-p 0.0000 0.0000 3895.4461 CCC 2987.786882 2 0.0000 3395 | 9/47
37 h-m-p 0.0000 0.0000 889.7873 CCC 2987.488916 2 0.0000 3487 | 9/47
38 h-m-p 0.0000 0.0002 413.1247 CCC 2987.102252 2 0.0000 3579 | 9/47
39 h-m-p 0.0000 0.0002 632.3504 CYC 2986.710150 2 0.0000 3670 | 9/47
40 h-m-p 0.0000 0.0002 333.2571 YCC 2986.568529 2 0.0000 3761 | 9/47
41 h-m-p 0.0000 0.0001 143.5764 YCC 2986.511002 2 0.0000 3852 | 9/47
42 h-m-p 0.0000 0.0006 55.4356 YC 2986.477849 1 0.0000 3941 | 9/47
43 h-m-p 0.0000 0.0008 72.3410 CC 2986.437171 1 0.0000 4031 | 9/47
44 h-m-p 0.0000 0.0008 131.3182 +CCC 2986.244066 2 0.0001 4124 | 9/47
45 h-m-p 0.0000 0.0004 404.1005 CC 2985.963526 1 0.0001 4214 | 9/47
46 h-m-p 0.0000 0.0004 850.7523 +CYCCC 2983.364068 4 0.0002 4311 | 9/47
47 h-m-p 0.0000 0.0002 441.1472 YCC 2983.246622 2 0.0000 4402 | 9/47
48 h-m-p 0.0000 0.0002 288.0058 CC 2983.112107 1 0.0000 4492 | 9/47
49 h-m-p 0.0001 0.0004 108.6079 YC 2983.069633 1 0.0000 4581 | 9/47
50 h-m-p 0.0000 0.0006 145.6994 +YC 2982.960195 1 0.0001 4671 | 9/47
51 h-m-p 0.0000 0.0011 393.2997 +YCCC 2982.174515 3 0.0002 4765 | 9/47
52 h-m-p 0.0000 0.0002 3396.9412 +YCCC 2979.726501 3 0.0001 4859 | 9/47
53 h-m-p 0.0000 0.0001 2194.5716 CCCC 2978.732049 3 0.0000 4953 | 9/47
54 h-m-p 0.0001 0.0004 1481.4928 CCC 2977.719445 2 0.0001 5045 | 9/47
55 h-m-p 0.1155 0.5777 0.8015 +YYCCCC 2969.030949 5 0.4096 5142 | 9/47
56 h-m-p 0.0525 0.2627 0.1133 +YYCYC 2967.716524 4 0.1751 5236 | 9/47
57 h-m-p 0.0716 0.3578 0.1387 +YCCC 2966.308724 3 0.2002 5330 | 9/47
58 h-m-p 0.1856 1.2682 0.1496 YCCC 2965.043491 3 0.3169 5423 | 9/47
59 h-m-p 0.2634 1.3267 0.1800 YCCCC 2963.374754 4 0.6450 5518 | 9/47
60 h-m-p 0.3248 1.6242 0.0591 YCCCC 2962.609526 4 0.7923 5613 | 9/47
61 h-m-p 0.3549 1.7745 0.1070 CCCC 2962.290730 3 0.6173 5707 | 9/47
62 h-m-p 0.7131 4.0402 0.0927 CCCC 2962.046571 3 1.2125 5801 | 9/47
63 h-m-p 1.0333 8.0000 0.1087 YC 2961.800110 1 2.0052 5890 | 9/47
64 h-m-p 0.6414 6.2851 0.3399 YCCC 2961.376834 3 1.5957 5983 | 9/47
65 h-m-p 0.6691 3.3454 0.5530 YCYCCC 2960.509828 5 1.7215 6079 | 9/47
66 h-m-p 0.5351 2.6753 0.3342 YYCC 2960.245314 3 0.4448 6171 | 9/47
67 h-m-p 0.4557 2.2787 0.2106 CCC 2959.767583 2 0.4378 6263 | 9/47
68 h-m-p 0.3861 3.3690 0.2388 CCCC 2959.692561 3 0.5508 6357 | 9/47
69 h-m-p 1.2406 8.0000 0.1060 CCC 2959.650574 2 0.4637 6449 | 9/47
70 h-m-p 1.6000 8.0000 0.0286 YCC 2959.627275 2 1.0119 6540 | 9/47
71 h-m-p 1.6000 8.0000 0.0094 CC 2959.618153 1 1.3008 6630 | 9/47
72 h-m-p 1.6000 8.0000 0.0019 CC 2959.608410 1 2.1490 6720 | 9/47
73 h-m-p 0.4565 8.0000 0.0092 +CC 2959.598735 1 1.9931 6811 | 9/47
74 h-m-p 1.6000 8.0000 0.0078 CC 2959.593011 1 1.8888 6901 | 9/47
75 h-m-p 1.6000 8.0000 0.0041 YC 2959.589324 1 2.6504 6990 | 9/47
76 h-m-p 1.6000 8.0000 0.0014 CC 2959.587968 1 1.9015 7080 | 9/47
77 h-m-p 1.6000 8.0000 0.0013 YC 2959.587210 1 3.1164 7169 | 9/47
78 h-m-p 1.6000 8.0000 0.0020 YC 2959.585647 1 3.7518 7258 | 9/47
79 h-m-p 1.6000 8.0000 0.0023 YC 2959.583614 1 2.8745 7347 | 9/47
80 h-m-p 1.6000 8.0000 0.0010 CC 2959.582510 1 2.2043 7437 | 9/47
81 h-m-p 1.6000 8.0000 0.0008 C 2959.582140 0 2.0528 7525 | 9/47
82 h-m-p 1.6000 8.0000 0.0007 C 2959.581947 0 2.3782 7613 | 9/47
83 h-m-p 1.6000 8.0000 0.0004 C 2959.581848 0 2.2489 7701 | 9/47
84 h-m-p 1.6000 8.0000 0.0004 C 2959.581803 0 1.7608 7789 | 9/47
85 h-m-p 1.6000 8.0000 0.0002 C 2959.581796 0 1.8249 7877 | 9/47
86 h-m-p 1.6000 8.0000 0.0000 Y 2959.581790 0 2.9362 7965 | 9/47
87 h-m-p 1.5872 8.0000 0.0001 +Y 2959.581783 0 4.5281 8054 | 9/47
88 h-m-p 1.6000 8.0000 0.0001 C 2959.581777 0 2.3195 8142 | 9/47
89 h-m-p 1.6000 8.0000 0.0001 C 2959.581775 0 1.8633 8230 | 9/47
90 h-m-p 1.6000 8.0000 0.0000 Y 2959.581775 0 1.2519 8318 | 9/47
91 h-m-p 0.7438 8.0000 0.0000 Y 2959.581774 0 1.7667 8406 | 9/47
92 h-m-p 1.6000 8.0000 0.0000 -----C 2959.581774 0 0.0004 8499
Out..
lnL = -2959.581774
8500 lfun, 93500 eigenQcodon, 3740000 P(t)
end of tree file.
Time used: 38:00
Model 8: beta&w>1
TREE # 1
(12, 17, 14, 25, ((((((((11, 21, (27, 20), (30, 28), 8, 3, 2, 5, 19, 23, 24, 9, 29), ((18, 4), 6)), 16), 26), 13), (10, 15)), 7), (22, 1))); MP score: 166
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
38
0.061953 0.028826 0.109410 0.075688 0.032261 0.026323 0.052068 0.024433 0.108506 0.032350 0.010162 0.019664 0.095459 0.077546 0.071445 0.059193 0.039922 0.070158 0.080030 0.039274 0.052818 0.035143 0.095152 0.048540 0.096420 0.081301 0.070526 0.061061 0.066395 0.082373 0.071510 0.051971 0.073369 0.033044 0.022240 0.034071 0.103685 0.015775 0.049935 0.088891 0.014052 0.089426 0.068558 0.040597 6.399676 0.900000 0.997677 1.755869 1.300000
ntime & nrate & np: 44 2 49
Bounds (np=49):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 0.999990 99.000000 99.000000 999.000000
Qfactor_NS = 3.370303
np = 49
lnL0 = -3604.587087
Iterating by ming2
Initial: fx= 3604.587087
x= 0.06195 0.02883 0.10941 0.07569 0.03226 0.02632 0.05207 0.02443 0.10851 0.03235 0.01016 0.01966 0.09546 0.07755 0.07145 0.05919 0.03992 0.07016 0.08003 0.03927 0.05282 0.03514 0.09515 0.04854 0.09642 0.08130 0.07053 0.06106 0.06640 0.08237 0.07151 0.05197 0.07337 0.03304 0.02224 0.03407 0.10368 0.01577 0.04994 0.08889 0.01405 0.08943 0.06856 0.04060 6.39968 0.90000 0.99768 1.75587 1.30000
1 h-m-p 0.0000 0.0001 1676.1535 ++ 3450.553431 m 0.0001 103 | 1/49
2 h-m-p 0.0000 0.0000 13232.1394 ++ 3321.717419 m 0.0000 204 | 1/49
3 h-m-p 0.0000 0.0000 42554.7730 ++ 3280.866871 m 0.0000 304 | 2/49
4 h-m-p 0.0000 0.0000 28057.3691 ++ 3260.376176 m 0.0000 404 | 2/49
5 h-m-p 0.0000 0.0000 127633.8091 ++ 3245.322613 m 0.0000 503 | 2/49
6 h-m-p -0.0000 -0.0000 35439.9868
h-m-p: -2.18805000e-24 -1.09402500e-23 3.54399868e+04 3245.322613
.. | 2/49
7 h-m-p 0.0000 0.0000 654251.0612 ---YCYYYC 3239.953187 5 0.0000 708 | 2/49
8 h-m-p 0.0000 0.0000 2434.2372 ++ 3208.913824 m 0.0000 807 | 3/49
9 h-m-p 0.0000 0.0000 2100.6999 ++ 3163.630073 m 0.0000 906 | 4/49
10 h-m-p 0.0000 0.0000 36191.8183 ++ 3131.446270 m 0.0000 1004 | 4/49
11 h-m-p 0.0000 0.0000 36556.6684 +CYYYCC 3110.353590 5 0.0000 1110 | 4/49
12 h-m-p 0.0000 0.0000 19169.5492 ++ 3102.811293 m 0.0000 1207 | 5/49
13 h-m-p 0.0000 0.0000 23696.5293 ++ 3094.718804 m 0.0000 1304 | 6/49
14 h-m-p 0.0000 0.0000 11841.3370 ++ 3083.472737 m 0.0000 1400 | 7/49
15 h-m-p 0.0000 0.0000 13143.8944 +YCYCCC 3067.242404 5 0.0000 1505 | 7/49
16 h-m-p 0.0000 0.0000 4461.7777 ++ 3060.961944 m 0.0000 1599 | 8/49
17 h-m-p 0.0000 0.0000 10073.1486 YCCC 3060.603778 3 0.0000 1698 | 8/49
18 h-m-p 0.0000 0.0000 3671.9957 ++ 3060.006588 m 0.0000 1791 | 9/49
19 h-m-p 0.0000 0.0000 2164.9586 +YYCCC 3057.060500 4 0.0000 1891 | 9/49
20 h-m-p 0.0000 0.0000 991.7775 +YYCCC 3054.710021 4 0.0000 1990 | 9/49
21 h-m-p 0.0000 0.0000 3437.8556 YCCCC 3053.701099 4 0.0000 2089 | 9/49
22 h-m-p 0.0000 0.0000 1176.4168 YCCCC 3049.542224 4 0.0000 2188 | 9/49
23 h-m-p 0.0000 0.0001 448.8945 CCCC 3047.757553 3 0.0000 2286 | 9/49
24 h-m-p 0.0000 0.0001 251.2252 YCCCC 3046.394288 4 0.0000 2385 | 9/49
25 h-m-p 0.0000 0.0001 507.6195 YCCCC 3043.993090 4 0.0000 2484 | 9/49
26 h-m-p 0.0000 0.0001 391.1012 YCCC 3042.340457 3 0.0000 2581 | 9/49
27 h-m-p 0.0000 0.0001 687.2960 YCCCC 3040.462650 4 0.0000 2680 | 9/49
28 h-m-p 0.0000 0.0000 704.7936 YCCCC 3039.448496 4 0.0000 2779 | 9/49
29 h-m-p 0.0000 0.0000 1278.2042 YCYCCC 3036.973598 5 0.0000 2879 | 9/49
30 h-m-p 0.0000 0.0000 2439.6890 ++ 3029.756146 m 0.0000 2971 | 10/49
31 h-m-p 0.0000 0.0001 1562.3237 YCYC 3029.261734 3 0.0000 3067 | 10/49
32 h-m-p 0.0000 0.0001 581.3168 YCCC 3028.284224 3 0.0001 3163 | 10/49
33 h-m-p 0.0000 0.0001 1499.4624 +YYCYC 3026.188183 4 0.0000 3260 | 10/49
34 h-m-p 0.0000 0.0001 6588.8324 +YCYCCC 3015.427423 5 0.0001 3360 | 10/49
35 h-m-p 0.0000 0.0000 12363.7004 +YYCCC 3011.842020 4 0.0000 3458 | 10/49
36 h-m-p 0.0000 0.0000 3753.1649 CCCC 3010.738897 3 0.0000 3555 | 10/49
37 h-m-p 0.0000 0.0000 6488.7065 CCCC 3009.575107 3 0.0000 3652 | 10/49
38 h-m-p 0.0001 0.0004 368.6600 YCCC 3009.257257 3 0.0000 3748 | 9/49
39 h-m-p 0.0000 0.0005 507.6216 YCCC 3007.467893 3 0.0001 3844 | 9/49
40 h-m-p 0.0005 0.0025 48.7668 YC 3006.499520 1 0.0003 3937 | 9/49
41 h-m-p 0.0000 0.0003 402.3210 +YCCC 3004.398766 3 0.0001 4035 | 9/49
42 h-m-p 0.0009 0.0045 29.5040 YCC 3004.341754 2 0.0002 4130 | 9/49
43 h-m-p 0.0001 0.0069 78.4138 ++YCC 3002.449657 2 0.0019 4227 | 9/49
44 h-m-p 0.0001 0.0006 1808.5643 YCCC 2999.270807 3 0.0001 4324 | 9/49
45 h-m-p 0.0001 0.0006 467.0562 YCC 2998.854405 2 0.0001 4419 | 9/49
46 h-m-p 0.0041 0.1592 8.1709 ++CYCCC 2993.580720 4 0.0796 4520 | 9/49
47 h-m-p 0.0006 0.0029 57.0473 YC 2993.547897 1 0.0001 4613 | 9/49
48 h-m-p 0.0037 0.3535 1.3447 +++YYCCC 2989.231874 4 0.2016 4714 | 9/49
49 h-m-p 0.0223 0.1114 1.2114 +YYCYCCC 2982.787673 6 0.0946 4816 | 9/49
50 h-m-p 0.0071 0.0353 5.9085 +YYCCCC 2979.562029 5 0.0289 4917 | 9/49
51 h-m-p 0.0159 0.1082 10.7409 +YCYYCC 2969.807242 5 0.0917 5018 | 9/49
52 h-m-p 0.0106 0.0528 2.0063 +YYYCCC 2968.056896 5 0.0394 5118 | 9/49
53 h-m-p 0.0188 0.0941 0.7883 +YYYYCC 2965.822061 5 0.0743 5217 | 9/49
54 h-m-p 0.0589 0.3376 0.9943 +YYYCC 2963.741656 4 0.2242 5315 | 9/49
55 h-m-p 0.1489 0.7444 1.2595 CCC 2962.731854 2 0.2125 5411 | 9/49
56 h-m-p 0.3133 1.5664 0.2423 +YCYCC 2961.043410 4 0.8850 5510 | 9/49
57 h-m-p 0.4889 2.4443 0.2852 CYC 2960.524215 2 0.5841 5605 | 9/49
58 h-m-p 0.8028 4.0141 0.1542 CCCC 2959.674183 3 1.1124 5703 | 9/49
59 h-m-p 0.2310 3.0474 0.7426 +YYC 2958.721600 2 0.7972 5798 | 9/49
60 h-m-p 1.1035 5.5176 0.2484 CCCC 2958.083641 3 1.2387 5896 | 9/49
61 h-m-p 1.0212 7.4581 0.3013 CC 2957.648978 1 1.4197 5990 | 9/49
62 h-m-p 1.6000 8.0000 0.1952 CYC 2957.395347 2 1.9005 6085 | 9/49
63 h-m-p 1.2986 6.4931 0.1830 CCC 2957.246087 2 1.4285 6181 | 9/49
64 h-m-p 1.6000 8.0000 0.1581 CCC 2957.076691 2 1.8028 6277 | 9/49
65 h-m-p 1.4829 8.0000 0.1922 CCC 2956.871076 2 2.0387 6373 | 9/49
66 h-m-p 1.6000 8.0000 0.1886 CCC 2956.705522 2 1.7135 6469 | 9/49
67 h-m-p 1.6000 8.0000 0.1020 YCC 2956.648148 2 1.2660 6564 | 9/49
68 h-m-p 1.6000 8.0000 0.0548 C 2956.627812 0 1.5642 6656 | 9/49
69 h-m-p 1.6000 8.0000 0.0336 YC 2956.606670 1 2.9324 6749 | 9/49
70 h-m-p 1.6000 8.0000 0.0103 YC 2956.585228 1 3.4927 6842 | 9/49
71 h-m-p 1.1342 8.0000 0.0317 +YC 2956.561397 1 3.4400 6936 | 9/49
72 h-m-p 1.6000 8.0000 0.0678 YC 2956.545547 1 2.9486 7029 | 9/49
73 h-m-p 1.6000 8.0000 0.0601 YC 2956.535580 1 2.5980 7122 | 9/49
74 h-m-p 1.6000 8.0000 0.0091 YC 2956.527195 1 3.5145 7215 | 9/49
75 h-m-p 0.8354 8.0000 0.0382 +YC 2956.513840 1 4.3189 7309 | 9/49
76 h-m-p 1.6000 8.0000 0.0836 YC 2956.498141 1 3.5911 7402 | 9/49
77 h-m-p 1.6000 8.0000 0.0907 YC 2956.483959 1 3.1609 7495 | 9/49
78 h-m-p 1.6000 8.0000 0.0413 YC 2956.469842 1 3.4350 7588 | 9/49
79 h-m-p 1.6000 8.0000 0.0373 CC 2956.464215 1 2.3130 7682 | 9/49
80 h-m-p 1.6000 8.0000 0.0271 YC 2956.459278 1 3.9165 7775 | 9/49
81 h-m-p 1.6000 8.0000 0.0446 YC 2956.453243 1 3.5333 7868 | 9/49
82 h-m-p 1.6000 8.0000 0.0297 YC 2956.448015 1 3.3832 7961 | 9/49
83 h-m-p 1.3697 8.0000 0.0734 +YC 2956.434521 1 6.1241 8055 | 9/49
84 h-m-p 1.6000 8.0000 0.0880 YC 2956.426647 1 2.6538 8148 | 9/49
85 h-m-p 1.6000 8.0000 0.0794 ++ 2956.405154 m 8.0000 8240 | 9/49
86 h-m-p 1.6000 8.0000 0.3062 YC 2956.363935 1 3.8335 8333 | 9/49
87 h-m-p 1.6000 8.0000 0.3114 CC 2956.351116 1 1.9115 8427 | 9/49
88 h-m-p 1.6000 8.0000 0.1186 +YC 2956.341168 1 4.8197 8521 | 9/49
89 h-m-p 1.6000 8.0000 0.1548 +YC 2956.323045 1 4.1586 8615 | 9/49
90 h-m-p 1.6000 8.0000 0.1520 +YC 2956.303162 1 4.5371 8709 | 9/49
91 h-m-p 1.6000 8.0000 0.3055 YC 2956.279430 1 3.0238 8802 | 9/49
92 h-m-p 1.6000 8.0000 0.3645 YC 2956.266672 1 2.8384 8895 | 9/49
93 h-m-p 1.6000 8.0000 0.3083 +C 2956.239288 0 6.5965 8988 | 9/49
94 h-m-p 1.6000 8.0000 0.6090 YC 2956.190511 1 3.5300 9081 | 9/49
95 h-m-p 1.6000 8.0000 0.0544 C 2956.183976 0 1.4886 9173 | 9/49
96 h-m-p 1.2012 8.0000 0.0675 YC 2956.181512 1 2.6115 9266 | 9/49
97 h-m-p 1.6000 8.0000 0.0790 CC 2956.180632 1 2.0852 9360 | 9/49
98 h-m-p 1.6000 8.0000 0.0391 +YC 2956.179572 1 5.0960 9454 | 9/49
99 h-m-p 1.6000 8.0000 0.0188 YC 2956.178411 1 2.5841 9547 | 9/49
100 h-m-p 1.6000 8.0000 0.0077 YC 2956.177974 1 2.8189 9640 | 9/49
101 h-m-p 0.6585 8.0000 0.0331 ++ 2956.176681 m 8.0000 9732 | 9/49
102 h-m-p 1.6000 8.0000 0.1206 ++ 2956.170821 m 8.0000 9824 | 9/49
103 h-m-p 1.6000 8.0000 0.0612 CC 2956.168879 1 1.8709 9918 | 9/49
104 h-m-p 1.3191 8.0000 0.0867 YC 2956.168045 1 2.6902 10011 | 9/49
105 h-m-p 1.6000 8.0000 0.0158 ++ 2956.164704 m 8.0000 10103 | 9/49
106 h-m-p 0.2298 8.0000 0.5495 ++CC 2956.154345 1 3.2639 10199 | 9/49
107 h-m-p 1.6000 8.0000 0.9441 YC 2956.143953 1 2.6241 10292 | 9/49
108 h-m-p 1.6000 8.0000 0.3203 YC 2956.141520 1 3.7381 10385 | 9/49
109 h-m-p 1.6000 8.0000 0.5324 ++ 2956.132116 m 8.0000 10477 | 9/49
110 h-m-p 1.4252 8.0000 2.9883 ++ 2956.073198 m 8.0000 10569 | 9/49
111 h-m-p 0.7376 3.6879 11.8522 +YC 2956.026555 1 2.4432 10663 | 9/49
112 h-m-p 0.3771 1.8857 7.8237 ++ 2956.011973 m 1.8857 10755 | 9/49
113 h-m-p 0.0000 0.0000 13.7228
h-m-p: 0.00000000e+00 0.00000000e+00 1.37227759e+01 2956.011973
.. | 9/49
114 h-m-p 0.0000 0.0002 15.0183 YC 2956.011362 1 0.0000 10937 | 9/49
115 h-m-p 0.0000 0.0074 2.5022 Y 2956.011302 0 0.0000 11029 | 9/49
116 h-m-p 0.0000 0.0074 1.8515 Y 2956.011279 0 0.0000 11121 | 9/49
117 h-m-p 0.0000 0.0053 2.2329 Y 2956.011268 0 0.0000 11213 | 9/49
118 h-m-p 0.0000 0.0237 0.8543 C 2956.011264 0 0.0000 11305 | 9/49
119 h-m-p 0.0001 0.0610 0.3808 C 2956.011263 0 0.0000 11397 | 9/49
120 h-m-p 0.0000 0.0171 0.6752 C 2956.011262 0 0.0000 11489 | 9/49
121 h-m-p 0.0002 0.1018 0.3503 Y 2956.011261 0 0.0000 11581 | 9/49
122 h-m-p 0.0001 0.0381 0.8308 C 2956.011259 0 0.0000 11673 | 9/49
123 h-m-p 0.0000 0.0198 1.6964 C 2956.011258 0 0.0000 11765 | 9/49
124 h-m-p 0.0004 0.2165 1.5117 Y 2956.011250 0 0.0001 11857 | 9/49
125 h-m-p 0.0000 0.0242 4.0378 C 2956.011233 0 0.0001 11949 | 9/49
126 h-m-p 0.0000 0.0141 26.9821 Y 2956.011202 0 0.0000 12041 | 9/49
127 h-m-p 0.0000 0.0102 14.6952 C 2956.011161 0 0.0000 12133 | 9/49
128 h-m-p 0.0000 0.0074 38.8826 +C 2956.011006 0 0.0001 12226 | 9/49
129 h-m-p 0.0000 0.0019 235.1609 CC 2956.010763 1 0.0000 12320 | 9/49
130 h-m-p 0.0000 0.0141 135.3419 YC 2956.010255 1 0.0001 12413 | 9/49
131 h-m-p 0.0000 0.0036 240.4427 C 2956.009639 0 0.0000 12505 | 9/49
132 h-m-p 0.0000 0.0009 745.5425 C 2956.008930 0 0.0000 12597 | 9/49
133 h-m-p 0.0000 0.0022 561.0819 YC 2956.007234 1 0.0000 12690 | 9/49
134 h-m-p 0.0000 0.0024 916.7110 C 2956.005352 0 0.0000 12782 | 9/49
135 h-m-p 0.0000 0.0011 872.3933 YC 2956.004295 1 0.0000 12875 | 9/49
136 h-m-p 0.0000 0.0017 1662.1759 YC 2956.001520 1 0.0000 12968 | 9/49
137 h-m-p 0.0001 0.0025 474.2692 CC 2956.000511 1 0.0000 13062 | 9/49
138 h-m-p 0.0000 0.0011 324.3293 C 2956.000273 0 0.0000 13154 | 9/49
139 h-m-p 0.0000 0.0018 122.0150 C 2956.000197 0 0.0000 13246 | 9/49
140 h-m-p 0.0000 0.0142 27.9540 Y 2956.000150 0 0.0000 13338 | 9/49
141 h-m-p 0.0002 0.0149 2.8400 -C 2956.000147 0 0.0000 13431 | 9/49
142 h-m-p 0.0000 0.0174 4.6296 C 2956.000143 0 0.0000 13523 | 9/49
143 h-m-p 0.0010 0.4946 0.3234 --C 2956.000143 0 0.0000 13617 | 9/49
144 h-m-p 0.0011 0.5634 0.1803 -C 2956.000142 0 0.0001 13710 | 9/49
145 h-m-p 0.0001 0.0671 0.3477 -Y 2956.000142 0 0.0000 13803 | 9/49
146 h-m-p 0.0003 0.1639 1.2049 Y 2956.000136 0 0.0001 13895 | 9/49
147 h-m-p 0.0004 0.2203 2.9261 C 2956.000073 0 0.0006 13987 | 9/49
148 h-m-p 0.0000 0.0028 165.7788 Y 2955.999967 0 0.0000 14079 | 9/49
149 h-m-p 0.0000 0.0049 297.8554 +C 2955.999551 0 0.0000 14172 | 9/49
150 h-m-p 0.0001 0.0173 243.1539 +YC 2955.996836 1 0.0003 14266 | 9/49
151 h-m-p 0.0009 0.0043 46.0783 --C 2955.996812 0 0.0000 14360 | 9/49
152 h-m-p 0.1131 8.0000 0.0062 ++Y 2955.996780 0 1.4715 14454 | 9/49
153 h-m-p 1.6000 8.0000 0.0011 Y 2955.996778 0 1.1707 14546 | 9/49
154 h-m-p 1.6000 8.0000 0.0005 ++ 2955.996777 m 8.0000 14638 | 9/49
155 h-m-p 0.0503 0.2516 0.0253 ++ 2955.996775 m 0.2516 14730 | 10/49
156 h-m-p 0.4223 8.0000 0.0005 +Y 2955.996774 0 1.2169 14823 | 10/49
157 h-m-p 1.0524 8.0000 0.0006 C 2955.996774 0 1.0696 14914 | 10/49
158 h-m-p 1.6000 8.0000 0.0001 Y 2955.996774 0 1.2402 15005 | 10/49
159 h-m-p 1.6000 8.0000 0.0000 Y 2955.996774 0 0.7108 15096 | 10/49
160 h-m-p 1.6000 8.0000 0.0000 ---C 2955.996774 0 0.0063 15190
Out..
lnL = -2955.996774
15191 lfun, 182292 eigenQcodon, 7352444 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) = -2970.410633 S = -2857.139479 -110.150788
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 171 patterns 1:28:02
did 20 / 171 patterns 1:28:02
did 30 / 171 patterns 1:28:02
did 40 / 171 patterns 1:28:03
did 50 / 171 patterns 1:28:03
did 60 / 171 patterns 1:28:03
did 70 / 171 patterns 1:28:03
did 80 / 171 patterns 1:28:03
did 90 / 171 patterns 1:28:04
did 100 / 171 patterns 1:28:04
did 110 / 171 patterns 1:28:04
did 120 / 171 patterns 1:28:04
did 130 / 171 patterns 1:28:04
did 140 / 171 patterns 1:28:05
did 150 / 171 patterns 1:28:05
did 160 / 171 patterns 1:28:05
did 170 / 171 patterns 1:28:05
did 171 / 171 patterns 1:28:05end of tree file.
Time used: 1:28:05
The loglikelihoods for models M1, M2, M7 and M8 are -2957.568934 -2955.953678 -2959.581774 -2955.996774 respectively
The loglikelihood for model M8 is significantly different from that for M7. Twice the difference is 7.170000
CLUSTAL W (1.8) multiple sequence alignment (ALTER 1.3.3)
TCG_22_TM2_VIPR_ALG4_BBM61464_1_8417_9904_1_2016_12_Japan_Unknown_Betacoronavirus_1 AVFSYFVYVCFLLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVC
BJ_164_TM2_VIPR_ALG4_AXX83306_1_8372_9859_1_2015_06_09_China_Unknown_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVC
YC_207_TM2_VIPR_ALG4_AXX83372_1_8351_9838_1_2015_12_02_China_Unknown_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVC
HCoV_OC43_Seattle_USA_SC2476_2015_TM2_VIPR_ALG4_ARK08667_1_8422_9909_1_2015_USA_Human_Betacoronavirus_1 AVFSYFVYVCFVLSVVCFIGLWCLMPTYTVHKSDFQLPVYTSYKVLDNGVIRDVSVEDVC
5352_2007_TM2_VIPR_ALG4_701216673_8460_9947_1_2007_05_China_Human_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSGFQLPVYASYKVLDNGVIRDVSVEDVC
OC43_human_USA_911_38_1991_TM2_VIPR_ALG4_530802555_8438_9925_1_1991_01_15_USA_Human_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVC
E_AH187_TC_TM2_VIPR_ALG4_251748090_8445_9932_1_2000_01_01_USA_Cattle_Betacoronavirus_1 AVFSYFVYVCFLLSLVCFIGLWCLMPTYTVHKSDFQLPVYTSYKVLDNGVIRDVSVEDVC
HCoV_OC43_Seattle_USA_SC0810_2019_TM2_VIPR_ALG4_QEG03753_1_8457_9944_1_2019_USA_Human_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVC
HCoV_OC43_USA_TCNP_0070_2016_TM2_VIPR_ALG4_ATN39862_1_8455_9942_1_2016_02_01_USA_Human_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVC
DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_TM2_VIPR_ALG4_QEY10622_1_8453_9940_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVC
12694_2012_TM2_VIPR_ALG4_701216743_8460_9947_1_2012_05_China_Human_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVC
R_AH65_TM2_VIPR_ALG4_145208913_8445_9932_1_NA_USA_Cattle_Betacoronavirus_1 AVFSYFVYVCFLLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVC
BCOV_China_SWUN_A10_2018_TM2_VIPR_ALG4_QOV05174_1_8461_9948_1_2018_11_01_China_Cattle_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVC
IWT_6_TM2_VIPR_ALG4_BBM60994_1_8434_9921_1_2012_12_Japan_Unknown_Betacoronavirus_1 AVFSYFVYVCFLLSLVCFIGLWCLMPTYTVHKSDFQLPFYASYKVLDNGVIRDVSVEDVC
DB2_TM2_VIPR_ALG4_331264482_8446_9933_1_1983_NA_Cattle_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVC
OC43_human_USA_901_33_1990_TM2_VIPR_ALG4_530802226_8428_9915_1_1990_01_16_USA_Human_Betacoronavirus_1 AVFSYFVYVCFVLSLICFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVC
IWT_20_TM2_VIPR_ALG4_BBM61094_1_8437_9924_1_2016_12_Japan_Unknown_Betacoronavirus_1 AVFSYFVYVCFLLSLVCFIGLWCLMPTYTVYKSDFQLPVYASYKVLDNGVIRDVSVEDVC
OC43_human_USA_9712_31_1997_TM2_VIPR_ALG4_530802379_8441_9928_1_1997_12_18_USA_Human_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVC
MDS11_TM2_VIPR_ALG4_QBP84728_1_8440_9927_1_NA_NA_Unknown_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVC
LY342_TM2_VIPR_ALG4_721347205_8461_9948_1_2011_10_04_China_Human_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVC
19572_Belgium_2004_TM2_VIPR_ALG4_62530899_8461_9948_1_NA_Belgium_Unknown_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVC
TCG_26_TM2_VIPR_ALG4_BBM61504_1_8434_9921_1_2017_12_Japan_Unknown_Betacoronavirus_1 AVFSYFVYVCFLLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVC
HCoV_OC43_Seattle_USA_SC0776_2019_TM2_VIPR_ALG4_QEG03810_1_8422_9909_1_2019_USA_Human_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVC
MDS4_TM2_VIPR_ALG4_QBP84719_1_8440_9927_1_NA_NA_Unknown_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVC
E_AH65_TM2_VIPR_ALG4_145208890_8461_9948_1_NA_USA_Cattle_Betacoronavirus_1 AVFSYFVYVCFLLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVC
BJ232_TM2_VIPR_ALG4_AQT26494_1_8394_9881_1_2014_China_Dog_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVC
5445_2007_TM2_VIPR_ALG4_701216785_8460_9947_1_2007_06_China_Human_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVC
HCoV_OC43_Seattle_USA_SC2770_2015_TM2_VIPR_ALG4_ARK08647_1_8422_9909_1_2015_USA_Human_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCVMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVC
HCoV_OC43_Seattle_USA_SC0839_2019_TM2_VIPR_ALG4_QEG03763_1_8457_9944_1_2019_USA_Human_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVC
HCoV_OC43_Seattle_USA_SC2854_2015_TM2_VIPR_ALG4_ARU07583_1_8426_9913_1_2015_USA_Human_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCVMPTYTVHKSDFQLPVYASYKVLDNGVIRDVGVEDVC
***********:**::*******:******:**.****.*:*************.*****
TCG_22_TM2_VIPR_ALG4_BBM61464_1_8417_9904_1_2016_12_Japan_Unknown_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVVDQDFGSTVFNVPTKVLRYGYHVLHFI
BJ_164_TM2_VIPR_ALG4_AXX83306_1_8372_9859_1_2015_06_09_China_Unknown_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFI
YC_207_TM2_VIPR_ALG4_AXX83372_1_8351_9838_1_2015_12_02_China_Unknown_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFI
HCoV_OC43_Seattle_USA_SC2476_2015_TM2_VIPR_ALG4_ARK08667_1_8422_9909_1_2015_USA_Human_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFI
5352_2007_TM2_VIPR_ALG4_701216673_8460_9947_1_2007_05_China_Human_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFI
OC43_human_USA_911_38_1991_TM2_VIPR_ALG4_530802555_8438_9925_1_1991_01_15_USA_Human_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFI
E_AH187_TC_TM2_VIPR_ALG4_251748090_8445_9932_1_2000_01_01_USA_Cattle_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVVDQDLGSTVFNVPTKVLRYGYHVLHFI
HCoV_OC43_Seattle_USA_SC0810_2019_TM2_VIPR_ALG4_QEG03753_1_8457_9944_1_2019_USA_Human_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFI
HCoV_OC43_USA_TCNP_0070_2016_TM2_VIPR_ALG4_ATN39862_1_8455_9942_1_2016_02_01_USA_Human_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFI
DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_TM2_VIPR_ALG4_QEY10622_1_8453_9940_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1 FANKFEQFDQWYESTFGRSYYSNSMACPIVVAVVDQDLGSTVFNVPTKVLRYGYHVLHFI
12694_2012_TM2_VIPR_ALG4_701216743_8460_9947_1_2012_05_China_Human_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFI
R_AH65_TM2_VIPR_ALG4_145208913_8445_9932_1_NA_USA_Cattle_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVVDQDFGSTVFNVPTKVLRYGYHVLHFI
BCOV_China_SWUN_A10_2018_TM2_VIPR_ALG4_QOV05174_1_8461_9948_1_2018_11_01_China_Cattle_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVVDQDFGSTVFNVPTKVLRYGYHVLHFI
IWT_6_TM2_VIPR_ALG4_BBM60994_1_8434_9921_1_2012_12_Japan_Unknown_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVVDQDFGSTVFNVPTKVLRYGYHVLHFI
DB2_TM2_VIPR_ALG4_331264482_8446_9933_1_1983_NA_Cattle_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVVDQDLGSTVFNVPTKVLRYGYHVLHFI
OC43_human_USA_901_33_1990_TM2_VIPR_ALG4_530802226_8428_9915_1_1990_01_16_USA_Human_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFI
IWT_20_TM2_VIPR_ALG4_BBM61094_1_8437_9924_1_2016_12_Japan_Unknown_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVVDQEFGSTVFNVPTKVLRYGYHVLHFI
OC43_human_USA_9712_31_1997_TM2_VIPR_ALG4_530802379_8441_9928_1_1997_12_18_USA_Human_Betacoronavirus_1 FANKFEQFDQWYESIFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFI
MDS11_TM2_VIPR_ALG4_QBP84728_1_8440_9927_1_NA_NA_Unknown_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFI
LY342_TM2_VIPR_ALG4_721347205_8461_9948_1_2011_10_04_China_Human_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFI
19572_Belgium_2004_TM2_VIPR_ALG4_62530899_8461_9948_1_NA_Belgium_Unknown_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFI
TCG_26_TM2_VIPR_ALG4_BBM61504_1_8434_9921_1_2017_12_Japan_Unknown_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVVDQDFGSTVFNVPTKVLRYGYHVLHFI
HCoV_OC43_Seattle_USA_SC0776_2019_TM2_VIPR_ALG4_QEG03810_1_8422_9909_1_2019_USA_Human_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFI
MDS4_TM2_VIPR_ALG4_QBP84719_1_8440_9927_1_NA_NA_Unknown_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFI
E_AH65_TM2_VIPR_ALG4_145208890_8461_9948_1_NA_USA_Cattle_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVVDQDFGSTVFNVPTKVLRYGYHVLHFI
BJ232_TM2_VIPR_ALG4_AQT26494_1_8394_9881_1_2014_China_Dog_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVVDQDFGSTVFNVPTKVLRYGYHVLHFI
5445_2007_TM2_VIPR_ALG4_701216785_8460_9947_1_2007_06_China_Human_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFI
HCoV_OC43_Seattle_USA_SC2770_2015_TM2_VIPR_ALG4_ARK08647_1_8422_9909_1_2015_USA_Human_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFI
HCoV_OC43_Seattle_USA_SC0839_2019_TM2_VIPR_ALG4_QEG03763_1_8457_9944_1_2019_USA_Human_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFI
HCoV_OC43_Seattle_USA_SC2854_2015_TM2_VIPR_ALG4_ARU07583_1_8426_9913_1_2015_USA_Human_Betacoronavirus_1 FANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFI
************** ** ***************:**::**********************
TCG_22_TM2_VIPR_ALG4_BBM61464_1_8417_9904_1_2016_12_Japan_Unknown_Betacoronavirus_1 THALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFAMADGSPQPYCYTEGLMQNASLY
BJ_164_TM2_VIPR_ALG4_AXX83306_1_8372_9859_1_2015_06_09_China_Unknown_Betacoronavirus_1 THALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLY
YC_207_TM2_VIPR_ALG4_AXX83372_1_8351_9838_1_2015_12_02_China_Unknown_Betacoronavirus_1 THALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLY
HCoV_OC43_Seattle_USA_SC2476_2015_TM2_VIPR_ALG4_ARK08667_1_8422_9909_1_2015_USA_Human_Betacoronavirus_1 THALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLY
5352_2007_TM2_VIPR_ALG4_701216673_8460_9947_1_2007_05_China_Human_Betacoronavirus_1 THALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLY
OC43_human_USA_911_38_1991_TM2_VIPR_ALG4_530802555_8438_9925_1_1991_01_15_USA_Human_Betacoronavirus_1 THALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLY
E_AH187_TC_TM2_VIPR_ALG4_251748090_8445_9932_1_2000_01_01_USA_Cattle_Betacoronavirus_1 THALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFAMADGSPQPYCYTEGLMQNASLY
HCoV_OC43_Seattle_USA_SC0810_2019_TM2_VIPR_ALG4_QEG03753_1_8457_9944_1_2019_USA_Human_Betacoronavirus_1 THALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLY
HCoV_OC43_USA_TCNP_0070_2016_TM2_VIPR_ALG4_ATN39862_1_8455_9942_1_2016_02_01_USA_Human_Betacoronavirus_1 THALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLY
DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_TM2_VIPR_ALG4_QEY10622_1_8453_9940_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1 THALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFAMADGSSQPYCYTEGLMQNASLY
12694_2012_TM2_VIPR_ALG4_701216743_8460_9947_1_2012_05_China_Human_Betacoronavirus_1 THALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLY
R_AH65_TM2_VIPR_ALG4_145208913_8445_9932_1_NA_USA_Cattle_Betacoronavirus_1 THALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFAMADGSPQPYCYTEGLMQNASLY
BCOV_China_SWUN_A10_2018_TM2_VIPR_ALG4_QOV05174_1_8461_9948_1_2018_11_01_China_Cattle_Betacoronavirus_1 THALSADGVQCYTPHSQISYFNFYASGCVLSSACTMFAMADGSPQPYCYTEGLMQNASLY
IWT_6_TM2_VIPR_ALG4_BBM60994_1_8434_9921_1_2012_12_Japan_Unknown_Betacoronavirus_1 THALSADGVQCYTPHSQISYFNFYASGCVLSSACTMFAMADGSPQPYCYTEGLMQNAPLY
DB2_TM2_VIPR_ALG4_331264482_8446_9933_1_1983_NA_Cattle_Betacoronavirus_1 THALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFAMADGSPQPYCYTEGLMQNASLY
OC43_human_USA_901_33_1990_TM2_VIPR_ALG4_530802226_8428_9915_1_1990_01_16_USA_Human_Betacoronavirus_1 THALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTTADGSPQPYCYTEGLMQNASLY
IWT_20_TM2_VIPR_ALG4_BBM61094_1_8437_9924_1_2016_12_Japan_Unknown_Betacoronavirus_1 THALSADGVQCYTPHGQISYFNFYASGCVLSSACTMFAMAEGSPQPYCYTEGLMQNASLY
OC43_human_USA_9712_31_1997_TM2_VIPR_ALG4_530802379_8441_9928_1_1997_12_18_USA_Human_Betacoronavirus_1 THALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLY
MDS11_TM2_VIPR_ALG4_QBP84728_1_8440_9927_1_NA_NA_Unknown_Betacoronavirus_1 THALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLY
LY342_TM2_VIPR_ALG4_721347205_8461_9948_1_2011_10_04_China_Human_Betacoronavirus_1 THALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLY
19572_Belgium_2004_TM2_VIPR_ALG4_62530899_8461_9948_1_NA_Belgium_Unknown_Betacoronavirus_1 THALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLY
TCG_26_TM2_VIPR_ALG4_BBM61504_1_8434_9921_1_2017_12_Japan_Unknown_Betacoronavirus_1 THALSADGVQCYTPHSQISYFNFYASGCVLSSACTMFAMADGSPQPYCYTEGLMQNASLY
HCoV_OC43_Seattle_USA_SC0776_2019_TM2_VIPR_ALG4_QEG03810_1_8422_9909_1_2019_USA_Human_Betacoronavirus_1 THALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLY
MDS4_TM2_VIPR_ALG4_QBP84719_1_8440_9927_1_NA_NA_Unknown_Betacoronavirus_1 THALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLY
E_AH65_TM2_VIPR_ALG4_145208890_8461_9948_1_NA_USA_Cattle_Betacoronavirus_1 THALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFAMADGSPQPYCYTEGLMQNASLY
BJ232_TM2_VIPR_ALG4_AQT26494_1_8394_9881_1_2014_China_Dog_Betacoronavirus_1 THALSADGVQCYTPHSQISYSNFYVSGCVLSSACTMFAMADGSPQPYCYTEGLMQNASLY
5445_2007_TM2_VIPR_ALG4_701216785_8460_9947_1_2007_06_China_Human_Betacoronavirus_1 THALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLY
HCoV_OC43_Seattle_USA_SC2770_2015_TM2_VIPR_ALG4_ARK08647_1_8422_9909_1_2015_USA_Human_Betacoronavirus_1 THALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLY
HCoV_OC43_Seattle_USA_SC0839_2019_TM2_VIPR_ALG4_QEG03763_1_8457_9944_1_2019_USA_Human_Betacoronavirus_1 THALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLY
HCoV_OC43_Seattle_USA_SC2854_2015_TM2_VIPR_ALG4_ARU07583_1_8426_9913_1_2015_USA_Human_Betacoronavirus_1 THALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSLQPYCYTDGLMQNASLY
***************.**** ***.************: *:** ******:******.**
TCG_22_TM2_VIPR_ALG4_BBM61464_1_8417_9904_1_2016_12_Japan_Unknown_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRIVRTRSMSYCRVGLCEEADEGVCFNFNGSW
BJ_164_TM2_VIPR_ALG4_AXX83306_1_8372_9859_1_2015_06_09_China_Unknown_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSW
YC_207_TM2_VIPR_ALG4_AXX83372_1_8351_9838_1_2015_12_02_China_Unknown_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSW
HCoV_OC43_Seattle_USA_SC2476_2015_TM2_VIPR_ALG4_ARK08667_1_8422_9909_1_2015_USA_Human_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRIVRTRSMSYCRVGLCEEADEGICFNFNGSW
5352_2007_TM2_VIPR_ALG4_701216673_8460_9947_1_2007_05_China_Human_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSW
OC43_human_USA_911_38_1991_TM2_VIPR_ALG4_530802555_8438_9925_1_1991_01_15_USA_Human_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRIVRTRSMSYCRVGLCEEADEGICFNFNGSW
E_AH187_TC_TM2_VIPR_ALG4_251748090_8445_9932_1_2000_01_01_USA_Cattle_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRIVRTRSMSYCRVGLCEEADEGICFNFNGSW
HCoV_OC43_Seattle_USA_SC0810_2019_TM2_VIPR_ALG4_QEG03753_1_8457_9944_1_2019_USA_Human_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSW
HCoV_OC43_USA_TCNP_0070_2016_TM2_VIPR_ALG4_ATN39862_1_8455_9942_1_2016_02_01_USA_Human_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSW
DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_TM2_VIPR_ALG4_QEY10622_1_8453_9940_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRIVRTRSMSYCRVGLCEEADEGICFNFNGSW
12694_2012_TM2_VIPR_ALG4_701216743_8460_9947_1_2012_05_China_Human_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSW
R_AH65_TM2_VIPR_ALG4_145208913_8445_9932_1_NA_USA_Cattle_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRIVRTRSMSYCRVGLCEEADEGICFNFNGSW
BCOV_China_SWUN_A10_2018_TM2_VIPR_ALG4_QOV05174_1_8461_9948_1_2018_11_01_China_Cattle_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRIVRTRSMSYCRVGLCEEADEGICFNFNGSW
IWT_6_TM2_VIPR_ALG4_BBM60994_1_8434_9921_1_2012_12_Japan_Unknown_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRIVRTRSMSYCRVGLCEEADEGICFNFNGSW
DB2_TM2_VIPR_ALG4_331264482_8446_9933_1_1983_NA_Cattle_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRIVRTRSMSYCRVGLCEEADEGICFNFNGSW
OC43_human_USA_901_33_1990_TM2_VIPR_ALG4_530802226_8428_9915_1_1990_01_16_USA_Human_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRIVRTRSMSYCRVGLCEEADEGICFNFNGSW
IWT_20_TM2_VIPR_ALG4_BBM61094_1_8437_9924_1_2016_12_Japan_Unknown_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSW
OC43_human_USA_9712_31_1997_TM2_VIPR_ALG4_530802379_8441_9928_1_1997_12_18_USA_Human_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRIVRTRSMSYCRVGLCEEADEGICFNFNGSW
MDS11_TM2_VIPR_ALG4_QBP84728_1_8440_9927_1_NA_NA_Unknown_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSW
LY342_TM2_VIPR_ALG4_721347205_8461_9948_1_2011_10_04_China_Human_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSW
19572_Belgium_2004_TM2_VIPR_ALG4_62530899_8461_9948_1_NA_Belgium_Unknown_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSW
TCG_26_TM2_VIPR_ALG4_BBM61504_1_8434_9921_1_2017_12_Japan_Unknown_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSW
HCoV_OC43_Seattle_USA_SC0776_2019_TM2_VIPR_ALG4_QEG03810_1_8422_9909_1_2019_USA_Human_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSW
MDS4_TM2_VIPR_ALG4_QBP84719_1_8440_9927_1_NA_NA_Unknown_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSW
E_AH65_TM2_VIPR_ALG4_145208890_8461_9948_1_NA_USA_Cattle_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRIVRTRSMSYCRVGLCEEADEGICFNFNGSW
BJ232_TM2_VIPR_ALG4_AQT26494_1_8394_9881_1_2014_China_Dog_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRIVRTRSMSYCRVGLCEEADEGICFNFNGSW
5445_2007_TM2_VIPR_ALG4_701216785_8460_9947_1_2007_06_China_Human_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSW
HCoV_OC43_Seattle_USA_SC2770_2015_TM2_VIPR_ALG4_ARK08647_1_8422_9909_1_2015_USA_Human_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSW
HCoV_OC43_Seattle_USA_SC0839_2019_TM2_VIPR_ALG4_QEG03763_1_8457_9944_1_2019_USA_Human_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSW
HCoV_OC43_Seattle_USA_SC2854_2015_TM2_VIPR_ALG4_ARU07583_1_8426_9913_1_2015_USA_Human_Betacoronavirus_1 SSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSW
******************************:********************:********
TCG_22_TM2_VIPR_ALG4_BBM61464_1_8417_9904_1_2016_12_Japan_Unknown_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
BJ_164_TM2_VIPR_ALG4_AXX83306_1_8372_9859_1_2015_06_09_China_Unknown_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
YC_207_TM2_VIPR_ALG4_AXX83372_1_8351_9838_1_2015_12_02_China_Unknown_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
HCoV_OC43_Seattle_USA_SC2476_2015_TM2_VIPR_ALG4_ARK08667_1_8422_9909_1_2015_USA_Human_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
5352_2007_TM2_VIPR_ALG4_701216673_8460_9947_1_2007_05_China_Human_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
OC43_human_USA_911_38_1991_TM2_VIPR_ALG4_530802555_8438_9925_1_1991_01_15_USA_Human_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
E_AH187_TC_TM2_VIPR_ALG4_251748090_8445_9932_1_2000_01_01_USA_Cattle_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
HCoV_OC43_Seattle_USA_SC0810_2019_TM2_VIPR_ALG4_QEG03753_1_8457_9944_1_2019_USA_Human_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
HCoV_OC43_USA_TCNP_0070_2016_TM2_VIPR_ALG4_ATN39862_1_8455_9942_1_2016_02_01_USA_Human_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_TM2_VIPR_ALG4_QEY10622_1_8453_9940_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1 VLNSDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
12694_2012_TM2_VIPR_ALG4_701216743_8460_9947_1_2012_05_China_Human_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
R_AH65_TM2_VIPR_ALG4_145208913_8445_9932_1_NA_USA_Cattle_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
BCOV_China_SWUN_A10_2018_TM2_VIPR_ALG4_QOV05174_1_8461_9948_1_2018_11_01_China_Cattle_Betacoronavirus_1 VINNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
IWT_6_TM2_VIPR_ALG4_BBM60994_1_8434_9921_1_2012_12_Japan_Unknown_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
DB2_TM2_VIPR_ALG4_331264482_8446_9933_1_1983_NA_Cattle_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
OC43_human_USA_901_33_1990_TM2_VIPR_ALG4_530802226_8428_9915_1_1990_01_16_USA_Human_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
IWT_20_TM2_VIPR_ALG4_BBM61094_1_8437_9924_1_2016_12_Japan_Unknown_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
OC43_human_USA_9712_31_1997_TM2_VIPR_ALG4_530802379_8441_9928_1_1997_12_18_USA_Human_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
MDS11_TM2_VIPR_ALG4_QBP84728_1_8440_9927_1_NA_NA_Unknown_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
LY342_TM2_VIPR_ALG4_721347205_8461_9948_1_2011_10_04_China_Human_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
19572_Belgium_2004_TM2_VIPR_ALG4_62530899_8461_9948_1_NA_Belgium_Unknown_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
TCG_26_TM2_VIPR_ALG4_BBM61504_1_8434_9921_1_2017_12_Japan_Unknown_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
HCoV_OC43_Seattle_USA_SC0776_2019_TM2_VIPR_ALG4_QEG03810_1_8422_9909_1_2019_USA_Human_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
MDS4_TM2_VIPR_ALG4_QBP84719_1_8440_9927_1_NA_NA_Unknown_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
E_AH65_TM2_VIPR_ALG4_145208890_8461_9948_1_NA_USA_Cattle_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
BJ232_TM2_VIPR_ALG4_AQT26494_1_8394_9881_1_2014_China_Dog_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
5445_2007_TM2_VIPR_ALG4_701216785_8460_9947_1_2007_06_China_Human_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLSYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
HCoV_OC43_Seattle_USA_SC2770_2015_TM2_VIPR_ALG4_ARK08647_1_8422_9909_1_2015_USA_Human_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
HCoV_OC43_Seattle_USA_SC0839_2019_TM2_VIPR_ALG4_QEG03763_1_8457_9944_1_2019_USA_Human_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
HCoV_OC43_Seattle_USA_SC2854_2015_TM2_VIPR_ALG4_ARU07583_1_8426_9913_1_2015_USA_Human_Betacoronavirus_1 VLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYL
*:*.****************** *************************************
TCG_22_TM2_VIPR_ALG4_BBM61464_1_8417_9904_1_2016_12_Japan_Unknown_Betacoronavirus_1 IKLKRAFGDYTSIVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIM
BJ_164_TM2_VIPR_ALG4_AXX83306_1_8372_9859_1_2015_06_09_China_Unknown_Betacoronavirus_1 IKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIM
YC_207_TM2_VIPR_ALG4_AXX83372_1_8351_9838_1_2015_12_02_China_Unknown_Betacoronavirus_1 IKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIM
HCoV_OC43_Seattle_USA_SC2476_2015_TM2_VIPR_ALG4_ARK08667_1_8422_9909_1_2015_USA_Human_Betacoronavirus_1 IKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIM
5352_2007_TM2_VIPR_ALG4_701216673_8460_9947_1_2007_05_China_Human_Betacoronavirus_1 IKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIM
OC43_human_USA_911_38_1991_TM2_VIPR_ALG4_530802555_8438_9925_1_1991_01_15_USA_Human_Betacoronavirus_1 IKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIM
E_AH187_TC_TM2_VIPR_ALG4_251748090_8445_9932_1_2000_01_01_USA_Cattle_Betacoronavirus_1 IKLKRAFGDYTSIVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIM
HCoV_OC43_Seattle_USA_SC0810_2019_TM2_VIPR_ALG4_QEG03753_1_8457_9944_1_2019_USA_Human_Betacoronavirus_1 IKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIM
HCoV_OC43_USA_TCNP_0070_2016_TM2_VIPR_ALG4_ATN39862_1_8455_9942_1_2016_02_01_USA_Human_Betacoronavirus_1 IKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIM
DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_TM2_VIPR_ALG4_QEY10622_1_8453_9940_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1 IKLKRAFGDYTSIVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIM
12694_2012_TM2_VIPR_ALG4_701216743_8460_9947_1_2012_05_China_Human_Betacoronavirus_1 IKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIM
R_AH65_TM2_VIPR_ALG4_145208913_8445_9932_1_NA_USA_Cattle_Betacoronavirus_1 IKLKRAFGDYTSIVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIM
BCOV_China_SWUN_A10_2018_TM2_VIPR_ALG4_QOV05174_1_8461_9948_1_2018_11_01_China_Cattle_Betacoronavirus_1 IKLKRAFGDYTSIVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIM
IWT_6_TM2_VIPR_ALG4_BBM60994_1_8434_9921_1_2012_12_Japan_Unknown_Betacoronavirus_1 IKLKRAFGDYTSIVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIM
DB2_TM2_VIPR_ALG4_331264482_8446_9933_1_1983_NA_Cattle_Betacoronavirus_1 IKLKRAFGDYTSIVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIM
OC43_human_USA_901_33_1990_TM2_VIPR_ALG4_530802226_8428_9915_1_1990_01_16_USA_Human_Betacoronavirus_1 IKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYVTLYFPSEISVIM
IWT_20_TM2_VIPR_ALG4_BBM61094_1_8437_9924_1_2016_12_Japan_Unknown_Betacoronavirus_1 IKLKRAFGDYTSIVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVVM
OC43_human_USA_9712_31_1997_TM2_VIPR_ALG4_530802379_8441_9928_1_1997_12_18_USA_Human_Betacoronavirus_1 IKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIM
MDS11_TM2_VIPR_ALG4_QBP84728_1_8440_9927_1_NA_NA_Unknown_Betacoronavirus_1 IKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIM
LY342_TM2_VIPR_ALG4_721347205_8461_9948_1_2011_10_04_China_Human_Betacoronavirus_1 IKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIM
19572_Belgium_2004_TM2_VIPR_ALG4_62530899_8461_9948_1_NA_Belgium_Unknown_Betacoronavirus_1 IKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIM
TCG_26_TM2_VIPR_ALG4_BBM61504_1_8434_9921_1_2017_12_Japan_Unknown_Betacoronavirus_1 IKLKRAFGDYTSIVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIM
HCoV_OC43_Seattle_USA_SC0776_2019_TM2_VIPR_ALG4_QEG03810_1_8422_9909_1_2019_USA_Human_Betacoronavirus_1 IKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIM
MDS4_TM2_VIPR_ALG4_QBP84719_1_8440_9927_1_NA_NA_Unknown_Betacoronavirus_1 IKLKRAFGDYTSVVFVNVIVWCVNFMMLFLFQVYPTLSCVYAICYFYATLYFPSEISVIM
E_AH65_TM2_VIPR_ALG4_145208890_8461_9948_1_NA_USA_Cattle_Betacoronavirus_1 IKLKRAFGDYTSIVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIM
BJ232_TM2_VIPR_ALG4_AQT26494_1_8394_9881_1_2014_China_Dog_Betacoronavirus_1 IKLKRAFGDYTSIVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIM
5445_2007_TM2_VIPR_ALG4_701216785_8460_9947_1_2007_06_China_Human_Betacoronavirus_1 IKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIM
HCoV_OC43_Seattle_USA_SC2770_2015_TM2_VIPR_ALG4_ARK08647_1_8422_9909_1_2015_USA_Human_Betacoronavirus_1 IKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIM
HCoV_OC43_Seattle_USA_SC0839_2019_TM2_VIPR_ALG4_QEG03763_1_8457_9944_1_2019_USA_Human_Betacoronavirus_1 IKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIM
HCoV_OC43_Seattle_USA_SC2854_2015_TM2_VIPR_ALG4_ARU07583_1_8426_9913_1_2015_USA_Human_Betacoronavirus_1 IKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIM
************:****************:*****************.**********:*
TCG_22_TM2_VIPR_ALG4_BBM61464_1_8417_9904_1_2016_12_Japan_Unknown_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYISVVVSNHAFWVFAYCRRLGTSVRSDGTFEEMALTTFMIT
BJ_164_TM2_VIPR_ALG4_AXX83306_1_8372_9859_1_2015_06_09_China_Unknown_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWIFSYCRKLGTSVRSDGTFEEMALTTFMIT
YC_207_TM2_VIPR_ALG4_AXX83372_1_8351_9838_1_2015_12_02_China_Unknown_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMIT
HCoV_OC43_Seattle_USA_SC2476_2015_TM2_VIPR_ALG4_ARK08667_1_8422_9909_1_2015_USA_Human_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRRLGSSVRSDGTFEEMALTTFMIT
5352_2007_TM2_VIPR_ALG4_701216673_8460_9947_1_2007_05_China_Human_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMIT
OC43_human_USA_911_38_1991_TM2_VIPR_ALG4_530802555_8438_9925_1_1991_01_15_USA_Human_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMIT
E_AH187_TC_TM2_VIPR_ALG4_251748090_8445_9932_1_2000_01_01_USA_Cattle_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYISVVVSNHAFWVFAYCRRLGTSVRSDGTFEEMALTTFMIT
HCoV_OC43_Seattle_USA_SC0810_2019_TM2_VIPR_ALG4_QEG03753_1_8457_9944_1_2019_USA_Human_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMIT
HCoV_OC43_USA_TCNP_0070_2016_TM2_VIPR_ALG4_ATN39862_1_8455_9942_1_2016_02_01_USA_Human_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMIT
DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_TM2_VIPR_ALG4_QEY10622_1_8453_9940_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYISVVVSNHAFWVFAYCRRLGTSVRSDGTFEEMALTTFMIT
12694_2012_TM2_VIPR_ALG4_701216743_8460_9947_1_2012_05_China_Human_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMIT
R_AH65_TM2_VIPR_ALG4_145208913_8445_9932_1_NA_USA_Cattle_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYISVVVSNHAFWVFAYCRRLGTSVRSDGTFEEMALTTFMIT
BCOV_China_SWUN_A10_2018_TM2_VIPR_ALG4_QOV05174_1_8461_9948_1_2018_11_01_China_Cattle_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYISVVVSNHAFWVFSYCRRLGTSVRSDGTFEEMALTTFMIT
IWT_6_TM2_VIPR_ALG4_BBM60994_1_8434_9921_1_2012_12_Japan_Unknown_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYISVVVSNHAFWVFAYCRRLGTSVRSDGTFEEMALTTFMIT
DB2_TM2_VIPR_ALG4_331264482_8446_9933_1_1983_NA_Cattle_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYISVVVSNHAFWVFAYCRRLGTSVRSDGTFEEMALTTFMIT
OC43_human_USA_901_33_1990_TM2_VIPR_ALG4_530802226_8428_9915_1_1990_01_16_USA_Human_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMIT
IWT_20_TM2_VIPR_ALG4_BBM61094_1_8437_9924_1_2016_12_Japan_Unknown_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYISVVVSNHAFWVFAYCRRLGTSVRSDGTFEEMALTTFMIT
OC43_human_USA_9712_31_1997_TM2_VIPR_ALG4_530802379_8441_9928_1_1997_12_18_USA_Human_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGSSVRSDGTFEEMALTTFMIT
MDS11_TM2_VIPR_ALG4_QBP84728_1_8440_9927_1_NA_NA_Unknown_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMIT
LY342_TM2_VIPR_ALG4_721347205_8461_9948_1_2011_10_04_China_Human_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMIT
19572_Belgium_2004_TM2_VIPR_ALG4_62530899_8461_9948_1_NA_Belgium_Unknown_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMIT
TCG_26_TM2_VIPR_ALG4_BBM61504_1_8434_9921_1_2017_12_Japan_Unknown_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYISVVVSNHAFWVFAYCRRLGTSVRSDGTFEEMALTTFMIT
HCoV_OC43_Seattle_USA_SC0776_2019_TM2_VIPR_ALG4_QEG03810_1_8422_9909_1_2019_USA_Human_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMIT
MDS4_TM2_VIPR_ALG4_QBP84719_1_8440_9927_1_NA_NA_Unknown_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMIT
E_AH65_TM2_VIPR_ALG4_145208890_8461_9948_1_NA_USA_Cattle_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYISVVVSNHAFWVFAYCRRLGTSVRSDGTFEEMALTTFMIT
BJ232_TM2_VIPR_ALG4_AQT26494_1_8394_9881_1_2014_China_Dog_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYISVVVSNHAFWVFSYCRQLGTSVRSDGTFEEMALTTFMIT
5445_2007_TM2_VIPR_ALG4_701216785_8460_9947_1_2007_06_China_Human_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMIT
HCoV_OC43_Seattle_USA_SC2770_2015_TM2_VIPR_ALG4_ARK08647_1_8422_9909_1_2015_USA_Human_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTTVRSDGTFEEMALTTFMIT
HCoV_OC43_Seattle_USA_SC0839_2019_TM2_VIPR_ALG4_QEG03763_1_8457_9944_1_2019_USA_Human_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMIT
HCoV_OC43_Seattle_USA_SC2854_2015_TM2_VIPR_ALG4_ARU07583_1_8426_9913_1_2015_USA_Human_Betacoronavirus_1 HLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTTVRSDGTFEEMALTTFMIT
*********************:*********:*:***:**::******************
TCG_22_TM2_VIPR_ALG4_BBM61464_1_8417_9904_1_2016_12_Japan_Unknown_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
BJ_164_TM2_VIPR_ALG4_AXX83306_1_8372_9859_1_2015_06_09_China_Unknown_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
YC_207_TM2_VIPR_ALG4_AXX83372_1_8351_9838_1_2015_12_02_China_Unknown_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
HCoV_OC43_Seattle_USA_SC2476_2015_TM2_VIPR_ALG4_ARK08667_1_8422_9909_1_2015_USA_Human_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
5352_2007_TM2_VIPR_ALG4_701216673_8460_9947_1_2007_05_China_Human_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
OC43_human_USA_911_38_1991_TM2_VIPR_ALG4_530802555_8438_9925_1_1991_01_15_USA_Human_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
E_AH187_TC_TM2_VIPR_ALG4_251748090_8445_9932_1_2000_01_01_USA_Cattle_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
HCoV_OC43_Seattle_USA_SC0810_2019_TM2_VIPR_ALG4_QEG03753_1_8457_9944_1_2019_USA_Human_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
HCoV_OC43_USA_TCNP_0070_2016_TM2_VIPR_ALG4_ATN39862_1_8455_9942_1_2016_02_01_USA_Human_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_TM2_VIPR_ALG4_QEY10622_1_8453_9940_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
12694_2012_TM2_VIPR_ALG4_701216743_8460_9947_1_2012_05_China_Human_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
R_AH65_TM2_VIPR_ALG4_145208913_8445_9932_1_NA_USA_Cattle_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
BCOV_China_SWUN_A10_2018_TM2_VIPR_ALG4_QOV05174_1_8461_9948_1_2018_11_01_China_Cattle_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
IWT_6_TM2_VIPR_ALG4_BBM60994_1_8434_9921_1_2012_12_Japan_Unknown_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
DB2_TM2_VIPR_ALG4_331264482_8446_9933_1_1983_NA_Cattle_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
OC43_human_USA_901_33_1990_TM2_VIPR_ALG4_530802226_8428_9915_1_1990_01_16_USA_Human_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
IWT_20_TM2_VIPR_ALG4_BBM61094_1_8437_9924_1_2016_12_Japan_Unknown_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
OC43_human_USA_9712_31_1997_TM2_VIPR_ALG4_530802379_8441_9928_1_1997_12_18_USA_Human_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
MDS11_TM2_VIPR_ALG4_QBP84728_1_8440_9927_1_NA_NA_Unknown_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
LY342_TM2_VIPR_ALG4_721347205_8461_9948_1_2011_10_04_China_Human_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
19572_Belgium_2004_TM2_VIPR_ALG4_62530899_8461_9948_1_NA_Belgium_Unknown_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
TCG_26_TM2_VIPR_ALG4_BBM61504_1_8434_9921_1_2017_12_Japan_Unknown_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
HCoV_OC43_Seattle_USA_SC0776_2019_TM2_VIPR_ALG4_QEG03810_1_8422_9909_1_2019_USA_Human_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
MDS4_TM2_VIPR_ALG4_QBP84719_1_8440_9927_1_NA_NA_Unknown_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
E_AH65_TM2_VIPR_ALG4_145208890_8461_9948_1_NA_USA_Cattle_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
BJ232_TM2_VIPR_ALG4_AQT26494_1_8394_9881_1_2014_China_Dog_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
5445_2007_TM2_VIPR_ALG4_701216785_8460_9947_1_2007_06_China_Human_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
HCoV_OC43_Seattle_USA_SC2770_2015_TM2_VIPR_ALG4_ARK08647_1_8422_9909_1_2015_USA_Human_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
HCoV_OC43_Seattle_USA_SC0839_2019_TM2_VIPR_ALG4_QEG03763_1_8457_9944_1_2019_USA_Human_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
HCoV_OC43_Seattle_USA_SC2854_2015_TM2_VIPR_ALG4_ARU07583_1_8426_9913_1_2015_USA_Human_Betacoronavirus_1 KDSYCKLKNSLSDVAFNRHLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSD
******************:*****************************************
TCG_22_TM2_VIPR_ALG4_BBM61464_1_8417_9904_1_2016_12_Japan_Unknown_Betacoronavirus_1 VLYQPPTASVSTSFLQ
BJ_164_TM2_VIPR_ALG4_AXX83306_1_8372_9859_1_2015_06_09_China_Unknown_Betacoronavirus_1 VLYQPPTASVSTSFLQ
YC_207_TM2_VIPR_ALG4_AXX83372_1_8351_9838_1_2015_12_02_China_Unknown_Betacoronavirus_1 VLYQPPTASVSTSFLQ
HCoV_OC43_Seattle_USA_SC2476_2015_TM2_VIPR_ALG4_ARK08667_1_8422_9909_1_2015_USA_Human_Betacoronavirus_1 VLYQPPTASVSTSFLQ
5352_2007_TM2_VIPR_ALG4_701216673_8460_9947_1_2007_05_China_Human_Betacoronavirus_1 VLYQPPTASVSTSFLQ
OC43_human_USA_911_38_1991_TM2_VIPR_ALG4_530802555_8438_9925_1_1991_01_15_USA_Human_Betacoronavirus_1 VLYQPPTASVSTSFLQ
E_AH187_TC_TM2_VIPR_ALG4_251748090_8445_9932_1_2000_01_01_USA_Cattle_Betacoronavirus_1 VLYQPPTASVSTSFLQ
HCoV_OC43_Seattle_USA_SC0810_2019_TM2_VIPR_ALG4_QEG03753_1_8457_9944_1_2019_USA_Human_Betacoronavirus_1 VLYQPPTASVSTSFLQ
HCoV_OC43_USA_TCNP_0070_2016_TM2_VIPR_ALG4_ATN39862_1_8455_9942_1_2016_02_01_USA_Human_Betacoronavirus_1 VLYQPPTASVSTSFLQ
DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_TM2_VIPR_ALG4_QEY10622_1_8453_9940_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1 VLYQPPTASVSTSFLQ
12694_2012_TM2_VIPR_ALG4_701216743_8460_9947_1_2012_05_China_Human_Betacoronavirus_1 VLYQPPTASVSTSFLQ
R_AH65_TM2_VIPR_ALG4_145208913_8445_9932_1_NA_USA_Cattle_Betacoronavirus_1 VLYQPPTASVSTSFLQ
BCOV_China_SWUN_A10_2018_TM2_VIPR_ALG4_QOV05174_1_8461_9948_1_2018_11_01_China_Cattle_Betacoronavirus_1 VLYQPPTASVSTSFLQ
IWT_6_TM2_VIPR_ALG4_BBM60994_1_8434_9921_1_2012_12_Japan_Unknown_Betacoronavirus_1 VLYQPPTASVSTSFLQ
DB2_TM2_VIPR_ALG4_331264482_8446_9933_1_1983_NA_Cattle_Betacoronavirus_1 VLYQPPTASVSTSFLQ
OC43_human_USA_901_33_1990_TM2_VIPR_ALG4_530802226_8428_9915_1_1990_01_16_USA_Human_Betacoronavirus_1 VLYQPPTASVSTSFLQ
IWT_20_TM2_VIPR_ALG4_BBM61094_1_8437_9924_1_2016_12_Japan_Unknown_Betacoronavirus_1 VLYQPPTASVSTSFLQ
OC43_human_USA_9712_31_1997_TM2_VIPR_ALG4_530802379_8441_9928_1_1997_12_18_USA_Human_Betacoronavirus_1 VLYQPPTASVSTSFLQ
MDS11_TM2_VIPR_ALG4_QBP84728_1_8440_9927_1_NA_NA_Unknown_Betacoronavirus_1 VLYQPPTASVSTSFLQ
LY342_TM2_VIPR_ALG4_721347205_8461_9948_1_2011_10_04_China_Human_Betacoronavirus_1 VLYQPPTASVSTSFLQ
19572_Belgium_2004_TM2_VIPR_ALG4_62530899_8461_9948_1_NA_Belgium_Unknown_Betacoronavirus_1 VLYQPPTASVSTSFLQ
TCG_26_TM2_VIPR_ALG4_BBM61504_1_8434_9921_1_2017_12_Japan_Unknown_Betacoronavirus_1 VLYQPPTASVSTSFLQ
HCoV_OC43_Seattle_USA_SC0776_2019_TM2_VIPR_ALG4_QEG03810_1_8422_9909_1_2019_USA_Human_Betacoronavirus_1 VLYQPPTASVSTSFLQ
MDS4_TM2_VIPR_ALG4_QBP84719_1_8440_9927_1_NA_NA_Unknown_Betacoronavirus_1 VLYQPPTASVSTSFLQ
E_AH65_TM2_VIPR_ALG4_145208890_8461_9948_1_NA_USA_Cattle_Betacoronavirus_1 VLYQPPTASVSTSFLQ
BJ232_TM2_VIPR_ALG4_AQT26494_1_8394_9881_1_2014_China_Dog_Betacoronavirus_1 VLYQPPTASVSTSFLQ
5445_2007_TM2_VIPR_ALG4_701216785_8460_9947_1_2007_06_China_Human_Betacoronavirus_1 VLYQPPTASVSTSFLQ
HCoV_OC43_Seattle_USA_SC2770_2015_TM2_VIPR_ALG4_ARK08647_1_8422_9909_1_2015_USA_Human_Betacoronavirus_1 VLYQPPTASVSTSFLQ
HCoV_OC43_Seattle_USA_SC0839_2019_TM2_VIPR_ALG4_QEG03763_1_8457_9944_1_2019_USA_Human_Betacoronavirus_1 VLYQPPTASVSTSFLQ
HCoV_OC43_Seattle_USA_SC2854_2015_TM2_VIPR_ALG4_ARU07583_1_8426_9913_1_2015_USA_Human_Betacoronavirus_1 VLYQPPTASVSTSFLQ
****************
>TCG_22_TM2_VIPR_ALG4_BBM61464_1_8417_9904_1_2016_12_Japan_Unknown_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTATGTTTTCTGTTGAGTTTGGTTTGTTTTATTGGATTGTGGTGCTTAATGCCCACTTATACAGTACACAAATCAGATTTTCAGCTTCCCGTTTATGCCAGTTATAAAGTTTTAGATAATGGTGTTATTAGAGATGTTAGCGTTGAAGATGTTTGTTTCGCTAACAAATTTGAACAATTTGATCAATGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAGTAGACCAGGATTTTGGCTCTACTGTGTTTAATGTCCCTACCAAAGTGTTACGATATGGTTACCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACGCCACATAGTCAAATATCGTATTCTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCCGCTTGTACTATGTTTGCAATGGCCGATGGTAGTCCACAACCTTATTGTTATACAGAGGGGCTTATGCAGAACGCTTCTCTGTATAGTTCATTGGTACCTCACGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGACTTGTGCGTATTGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTGTATGCTTTAATTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGACTTAATTTATCAGCTTTTTAAAGGTTTAGCACAGCCTGTAGATTTCTTGGCATTGACTGCTAGTTCTATTGCTGGTGCTATACTTGCTGTAATTGTTGTTTTGGTGTTTTATTACTTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTATTGTTTTTGTTAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCTACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCATTTACAATGGTTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATATCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTTGCTTACTGCAGACGGCTTGGTACTTCTGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTTACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGATACTGCTGCATATAGGGAGGCTGCTTGTTCTCAGTTGGCTAAAGCAATGGATACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCACCTACTGCTTCTGTTTCAACTTCATTCTTGCAA >BJ_164_TM2_VIPR_ALG4_AXX83306_1_8372_9859_1_2015_06_09_China_Unknown_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTGTGTTTTGTGTTGAGTTTGGTCTGTTTTATTGGACTGTGGTGCTTAATGCCCACTTACACAGTACACAAATCAGATTTTCAGCTTCCTGTTTATGCCAGTTATAAAGTTTTAGATAATGGTGTTATTAGAGATGTTAGCGTTGAAGATGTCTGTTTCGCTAACAAATTTGAGCAATTTGATCAATGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAATAGATCAGGACTTTGGCTCTACAGTGTTTAATGTCCCTACCAAAGTGTTACGATATGGTTATCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACTCCACATAGTCAAATATCGTATTCTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCTGCTTGCACTATGTTTACAATGGCCGATGGTAGTCCACAACCTTATTGTTATACAGATGGGCTTATGCAAAATGCTTCTCTGTATAGTTCATTGGTACCTCACGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGGCTTGTACGTGTCGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTATATGCTTTAATTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGATTTAATTTATCAGCTATTTAAAGGTTTAGCACAGCCTGTGGATTTTTTGGCATTGACTGCTAGTTCCATTGCTGGTGCTATACTCGCTGTAATTGTTGTTTTGGTGTTTTATTACCTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTGTTGTTTTTGTTAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCCACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCACTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATAGCTGTTGTTGTTTCAAATCATGCTTTTTGGATATTTTCTTACTGCAGAAAGCTTGGTACTTCTGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTCACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGACACTGCTGCATATAGGGAGGCTGCTTGCTCTCAGTTGGCTAAAGCAATGGACACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCGCCTACTGCTTCCGTTTCAACTTCATTCTTGCAA >YC_207_TM2_VIPR_ALG4_AXX83372_1_8351_9838_1_2015_12_02_China_Unknown_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTGTGTTTTGTGTTGAGTTTGGTCTGTTTTATTGGACTGTGGTGCTTAATGCCCACTTACACAGTACACAAATCAGATTTTCAGCTTCCTGTTTATGCCAGTTATAAAGTTTTAGATAATGGTGTTATTAGAGATGTTAGCGTTGAAGATGTTTGTTTCGCTAACAAATTTGAGCAATTTGATCAATGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCTATTGTTGTTGCTGTAATAGATCAGGATTTTGGCTCTACAGTGTTTAATGTCCCTACCAAAGTGTTACGATATGGTTATCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACTCCACATAGTCAAATATCGTATTCTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCTGCTTGCACTATGTTTACAATGGCCGATGGTAGTCCACAACCTTATTGTTATACAGATGGGCTTATGCAAAATGCTTCTCTGTATAGTTCATTGGTACCTCACGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGGCTTGTACGTGTCGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTATATGCTTTAATTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGATTTAATTTATCAGCTATTTAAAGGTTTAGCACAGCCTGTGGATTTTTTGGCATTGACTGCTAGTTCCATTGCTGGTGCTATACTCGCTGTAATTGTTGTTTTGGTGTTTTATTACCTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTGTTGTTTTTGTTAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCCACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCACTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATAGCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTTTCTTACTGCAGAAAGCTTGGTACTTCTGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTCACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGACACTGCTGCATATAGGGAGGCTGCTTGCTCTCAGTTGGCTAAAGCAATGGACACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCGCCTACTGCTTCCGTTTCAACTTCATTCTTGCAA >HCoV_OC43_Seattle_USA_SC2476_2015_TM2_VIPR_ALG4_ARK08667_1_8422_9909_1_2015_USA_Human_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTGTGTTTTGTGTTGAGTGTGGTCTGTTTTATTGGACTGTGGTGCTTAATGCCCACTTACACAGTACACAAATCAGATTTTCAGCTTCCCGTTTATACCAGTTATAAAGTTTTAGATAATGGTGTTATTAGAGATGTTAGCGTTGAAGATGTTTGTTTCGCTAACAAATTTGAGCAATTTGATCAATGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAATAGATCAGGATTTTGGCTCTACAGTGTTTAATGTCCCTACCAAAGTGTTACGATATGGTTATCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACTCCACATAGTCAAATATCGTATTCTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCTGCTTGCACTATGTTTACAATGGCCGATGGTAGTCCACAACCTTATTGTTATACAGATGGGCTTATGCAAAATGCTTCTCTGTATAGTTCATTGGTACCTCACGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGGCTTGTACGTATCGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGGTTATGTGAGGAAGCTGATGAGGGTATATGCTTTAATTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGATTTAATTTATCAGCTATTTAAAGGTTTAGCACAGCCTGTGGATTTTTTGGCATTGACTGCTAGTTCCATTGCTGGTGCTATACTCGCTGTAATTGTTGTTTTGGTGTTTTATTACCTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTGTTGTTTTTGTTAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCCACACTTTCTTGTGTATATGCTATTTGTTACTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCACTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATAGCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTTTCTTACTGCAGAAGGCTTGGTAGTTCGGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTCACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGACACTGCTGCATATAGGGAGGCTGCTTGCTCTCAGTTGGCTAAGGCAATGGACACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCTCCTACAGCTTCCGTCTCAACTTCATTCTTGCAA >5352_2007_TM2_VIPR_ALG4_701216673_8460_9947_1_2007_05_China_Human_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTGTGTTTTGTGTTGAGTTTGGTCTGTTTTATTGGACTGTGGTGCTTAATGCCCACTTACACAGTACACAAATCAGGTTTTCAGCTTCCTGTTTATGCCAGTTATAAAGTTTTAGATAATGGTGTTATTAGAGATGTTAGCGTTGAAGATGTTTGTTTCGCTAACAAATTTGAGCAATTTGATCAATGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAATAGATCAGGATTTTGGCTCTACAGTGTTTAATGTCCCTACCAAAGTGTTACGATATGGTTATCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACTCCACATAGTCAAATATCGTATTCTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCTGCTTGCACTATGTTTACAATGGCCGATGGTAGTCCACAACCTTATTGTTATACAGATGGGCTTATGCAAAATGCTTCTCTGTATAGTTCATTGGTACCTCACGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGGCTTGTACGTGTCGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTATATGCTTTAATTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGATTTAATTTATCAGCTATTTAAAGGTTTAGCACAGCCTGTGGATTTTTTGGCATTGACTGCTAGTTCCATTGCTGGTGCTATACTCGCTGTAATTGTTGTTTTGGTGTTTTATTACCTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTGTTGTTTTTGTTAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCCACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCACTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATAGCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTTTCTTACTGCAGAAAGCTTGGTACTTCTGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTCACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGACACTGCTGCATATAGGGAGGCTGCTTGCTCTCAGTTGGCTAAAGCAATGGACACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCGCCTACTGCTTCCGTTTCAACTTCATTCTTGCAA >OC43_human_USA_911_38_1991_TM2_VIPR_ALG4_530802555_8438_9925_1_1991_01_15_USA_Human_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTGTGTTTTGTGTTGAGTTTGGTCTGTTTTATTGGACTGTGGTGCTTAATGCCCACTTACACAGTACACAAATCAGATTTTCAGCTTCCCGTTTATGCCAGTTATAAAGTTTTAGATAATGGTGTTATTAGAGATGTTAGCGTTGAAGATGTTTGTTTCGCTAACAAATTTGAGCAATTTGATCAATGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAATAGATCAGGATTTTGGCTCTACAGTGTTTAATGTCCCTACCAAAGTGTTACGATATGGTTATCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACTCCACATAGTCAAATATCGTATTCTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCTGCTTGCACTATGTTTACAATGGCCGATGGTAGTCCACAACCTTATTGTTATACAGATGGGCTTATGCAAAATGCTTCTCTGTATAGTTCATTGGTACCTCACGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGCTGCGAGAAGGGCTTGTACGTATCGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTATATGCTTTAATTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGATTTAATTTATCAGCTATTTAAAGGTTTAGCACAGCCTGTGGATTTTTTGGCATTGACTGCTAGTTCCATTGCTGGTGCTATACTCGCTGTAATTGTTGTTTTGGTGTTTTATTACCTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTGTTGTTTTTGTTAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCCACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCACTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATAGCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTTTCTTACTGCAGAAAGCTTGGTACTTCTGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTCACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGACACTGCTGCATATAGGGAGGCTGCTTGCTCTCAGTTGGCTAAAGCAATGGACACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCGCCTACTGCTTCCGTCTCAACTTCATTCTTGCAA >E_AH187_TC_TM2_VIPR_ALG4_251748090_8445_9932_1_2000_01_01_USA_Cattle_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTATGTTTTCTGTTGAGTTTGGTTTGTTTTATTGGATTGTGGTGCTTAATGCCCACTTACACAGTACACAAATCAGATTTTCAGCTTCCCGTTTATACCAGTTATAAAGTTTTAGATAATGGTGTTATTAGAGATGTTAGCGTTGAAGATGTTTGTTTCGCTAACAAATTTGAACAATTTGATCAATGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAGTAGACCAGGATCTTGGCTCTACTGTGTTTAATGTCCCTACCAAAGTGTTACGATATGGTTACCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACGCCACATAGTCAAATATCGTATTCTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCCGCTTGTACTATGTTTGCAATGGCCGATGGTAGTCCACAACCTTATTGTTATACAGAGGGGCTTATGCAGAATGCTTCTCTGTATAGTTCATTGGTACCTCACGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGACTTGTGCGTATTGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTATATGCTTTAACTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGACTTAATTTATCAGCTTTTTAAAGGTTTAGCACAGCCTGTGGATTTCTTGGCATTGACTGCTAGTTCTATTGCTGGTGCTATACTTGCTGTAATTGTTGTTTTGGTGTTTTATTACTTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTATTGTTTTTGTCAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCTACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCATTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATATCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTTGCTTACTGCAGACGGCTTGGTACTTCTGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTTACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGATACTGCTGCATATAGGGAGGCTGCTTGTTCTCAGTTGGCTAAAGCAATGGATACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCACCTACTGCTTCCGTTTCAACTTCATTCTTGCAA >HCoV_OC43_Seattle_USA_SC0810_2019_TM2_VIPR_ALG4_QEG03753_1_8457_9944_1_2019_USA_Human_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTGTGTTTTGTGTTGAGTTTGGTCTGTTTTATTGGACTGTGGTGCTTAATGCCCACTTACACAGTACACAAATCAGATTTTCAGCTTCCTGTTTATGCCAGTTATAAAGTTTTAGATAATGGTGTTATTAGAGATGTTAGCGTTGAAGATGTTTGTTTCGCTAACAAATTTGAGCAATTTGATCAATGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAATAGATCAGGATTTTGGCTCTACAGTGTTTAATGTCCCTACCAAAGTGTTACGATATGGTTATCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACTCCACATAGTCAAATATCGTATTCTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCTGCTTGCACTATGTTTACAATGGCCGATGGTAGTCCACAACCTTATTGTTATACAGATGGGCTTATGCAAAATGCTTCTCTGTATAGTTCATTGGTACCTCACGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGGCTTGTACGTGTCGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTATATGCTTTAATTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGATTTAATTTATCAGCTATTTAAAGGTTTAGCACAGCCTGTGGATTTTTTGGCATTGACTGCTAGTTCCATTGCTGGTGCTATACTCGCTGTAATTGTTGTTTTGGTGTTTTATTACCTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTGTTGTTTTTGTTAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCCACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCACTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATAGCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTTTCTTACTGCAGAAAGCTTGGTACTTCTGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTCACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGACACTGCTGCATATAGGGAGGCTGCTTGCTCTCAGTTGGCTAAAGCAATGGACACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCGCCTACTGCTTCCGTTTCAACTTCATTCTTGCAA >HCoV_OC43_USA_TCNP_0070_2016_TM2_VIPR_ALG4_ATN39862_1_8455_9942_1_2016_02_01_USA_Human_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTGTGTTTTGTGTTGAGTTTGGTCTGTTTTATTGGACTGTGGTGCTTAATGCCCACTTACACAGTACACAAATCAGATTTTCAGCTTCCTGTTTATGCCAGTTATAAAGTTTTAGATAATGGTGTTATTAGAGATGTTAGCGTTGAAGATGTTTGTTTCGCTAACAAATTTGAGCAATTTGATCAATGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAATAGATCAGGATTTTGGCTCTACAGTGTTTAATGTCCCTACCAAAGTGTTACGATATGGTTATCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACTCCACATAGTCAAATATCGTATTCTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCTGCTTGCACTATGTTTACAATGGCCGATGGTAGTCCACAACCTTATTGTTATACAGATGGGCTTATGCAAAATGCTTCTCTGTATAGTTCATTGGTACCTCACGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGGCTTGTACGTGTCGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTATATGCTTTAATTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGATTTAATTTATCAGCTATTTAAAGGTTTAGCACAGCCTGTGGATTTTTTGGCATTGACTGCTAGTTCCATTGCTGGTGCTATACTCGCTGTAATTGTTGTTTTGGTGTTTTATTACCTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTGTTGTTTTTGTTAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCCACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCACTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATAGCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTTTCTTACTGCAGAAAGCTTGGTACTTCTGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTCACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGACACTGCTGCATATAGGGAGGCTGCTTGCTCTCAGTTGGCTAAAGCAATGGACACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCGCCTACTGCTTCCGTTTCAACTTCATTCTTGCAA >DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_TM2_VIPR_ALG4_QEY10622_1_8453_9940_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTATGTTTTGTGTTGAGTTTGGTTTGTTTTATAGGATTGTGGTGCTTAATGCCCACTTACACAGTACACAAATCAGATTTTCAGCTTCCTGTTTATGCCAGTTATAAAGTTTTAGATAATGGTGTTATTAGAGATGTTAGCGTTGAAGATGTTTGTTTCGCTAACAAATTTGAACAATTTGATCAATGGTATGAGTCTACATTCGGTCGAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAGTGGACCAGGATCTTGGCTCTACTGTTTTTAATGTCCCTACCAAAGTGTTACGATATGGTTACCATGTGTTGCACTTTATCACACATGCACTCTCTGCTGATGGAGTGCAGTGTTATACGCCACATAGTCAAATATCGTATTCTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCCGCTTGTACTATGTTTGCAATGGCCGATGGTAGTTCACAACCTTATTGTTATACAGAGGGGCTTATGCAGAACGCTTCTTTGTATAGTTCATTGGTACCTCATGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGACTTGTGCGTATTGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTATATGCTTTAATTTTAATGGTTCTTGGGTGCTTAATAGTGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGATTTAATTTATCAGCTTTTTAAAGGTTTAGCACAGCCTGTGGATTTCTTGGCATTGACTGCTAGTTCTATTGCTGGTGCTATACTTGCTGTAATTGTTGTTTTGGTGTTTTATTACTTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTATTGTTTTTGTTAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAGGTTTACCCTACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCATTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATATCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTTGCTTACTGCAGACGGCTTGGTACTTCTGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTTACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGATACTGCTGCATATAGGGAGGCTGCTTGTTCTCAGTTGGCTAAAGCAATGGATACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCACCCACTGCTTCCGTTTCAACTTCATTCTTGCAA >12694_2012_TM2_VIPR_ALG4_701216743_8460_9947_1_2012_05_China_Human_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTGTGTTTTGTGTTGAGTTTGGTCTGTTTTATTGGACTGTGGTGCTTAATGCCCACTTACACAGTACACAAATCAGATTTTCAGCTTCCTGTTTATGCCAGTTATAAAGTTTTAGATAATGGTGTTATTAGAGATGTTAGCGTTGAAGATGTTTGTTTCGCTAACAAATTTGAGCAATTTGATCAATGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAATAGATCAGGATTTTGGCTCTACAGTGTTTAATGTCCCTACCAAAGTGTTACGATATGGTTATCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACTCCACATAGTCAAATATCGTATTCTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCTGCTTGCACTATGTTTACAATGGCCGATGGTAGTCCACAACCTTATTGTTATACAGATGGGCTTATGCAAAATGCTTCTCTGTATAGTTCATTGGTACCTCACGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGGCTTGTACGTGTCGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTATATGCTTTAATTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGATTTAATTTATCAGCTATTTAAAGGTTTAGCACAGCCTGTGGATTTTTTGGCATTGACTGCTAGTTCCATTGCTGGTGCTATACTCGCTGTAATTGTTGTTTTGGTGTTTTATTACCTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTGTTGTTTTTGTTAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCCACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCACTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATAGCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTTTCTTACTGCAGAAAGCTTGGTACTTCTGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTCACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGACACTGCTGCATATAGGGAGGCTGCTTGCTCTCAGTTGGCTAAAGCAATGGACACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCGCCTACTGCTTCCGTTTCAACTTCATTCTTGCAA >R_AH65_TM2_VIPR_ALG4_145208913_8445_9932_1_NA_USA_Cattle_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTATGTTTTCTGTTGAGTTTGGTTTGTTTTATTGGATTGTGGTGCTTAATGCCCACTTACACAGTACACAAATCAGATTTTCAGCTTCCCGTTTATGCCAGTTATAAAGTTTTAGATAATGGTGTTATTAGAGATGTTAGCGTTGAAGATGTTTGTTTCGCTAACAAATTTGAACAATTTGATCAATGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAGTAGACCAGGATTTTGGCTCTACTGTGTTTAATGTCCCTACCAAAGTGTTACGATATGGTTACCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACGCCACATAGTCAAATATCGTATTCTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCTGCTTGTACTATGTTTGCAATGGCCGATGGTAGTCCACAACCTTATTGTTATACAGAGGGGCTTATGCAGAACGCTTCTCTGTATAGTTCATTGGTACCTCACGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGACTTGTGCGTATTGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTATATGCTTTAACTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGACTTAATTTATCAGCTTTTTAAAGGTTTAGCACAGCCTGTGGATTTCTTGGCATTGACTGCTAGTTCTATTGCTGGTGCTATACTTGCTGTAATTGTTGTTTTGGTGTTTTATTACTTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTATTGTTTTTGTCAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCTACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCATTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATATCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTCGCTTACTGCAGACGGCTTGGTACTTCTGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTTACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGATACTGCTGCATATAGGGAGGCTGCTTGTTCTCAGTTGGCTAAAGCAATGGATACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCACCTACTGCTTCCGTTTCAACTTCATTCTTGCAA >BCOV_China_SWUN_A10_2018_TM2_VIPR_ALG4_QOV05174_1_8461_9948_1_2018_11_01_China_Cattle_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTATGTTTTGTGTTGAGTTTGGTTTGTTTTATTGGATTGTGGTGCTTAATGCCCACTTACACAGTACACAAATCAGATTTTCAGCTTCCCGTTTATGCCAGTTATAAAGTTTTAGATAATGGTGTTATTAGAGATGTTAGTGTTGAAGATGTTTGTTTCGCTAACAAATTTGAACAATTTGATCAATGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAGTAGACCAGGATTTTGGCTCTACTGTGTTTAATGTCCCTACCAAAGTTTTGCGATATGGCTACCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACGCCACATAGTCAAATATCGTATTTTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCCGCTTGTACTATGTTTGCAATGGCCGATGGTAGTCCACAACCTTATTGTTATACAGAGGGGCTTATGCAGAACGCTTCTCTGTATAGTTCATTGGTACCTCATGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGACTTGTGCGTATTGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGACTATGTGAGGAAGCTGATGAGGGTATATGTTTCAACTTTAATGGTTCTTGGGTGATTAATAATGATTATTATAGATCATTGCCAGGGACCTTTTGTGGTAGAGATGTTTTTGACTTAATTTATCAGCTGTTCAAAGGTTTAGCACAGCCTGTGGATTTCTTGGCATTGACGGCTAGTTCTATTGCTGGTGCTATACTTGCTGTAATTGTTGTTTTGGTGTTTTATTACTTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTATTGTTTTTGTTAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCTACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCATTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATATCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTTTCTTACTGCAGACGGCTTGGTACTTCTGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTTACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGATACTGCTGCATATAGGGAGGCTGCTTGTTCTCAGTTGGCTAAAGCAATGGATACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCACCTACTGCTTCCGTTTCAACTTCATTCTTGCAA >IWT_6_TM2_VIPR_ALG4_BBM60994_1_8434_9921_1_2012_12_Japan_Unknown_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTATGTTTTCTGTTGAGTTTGGTTTGTTTTATTGGATTGTGGTGCTTAATGCCCACTTACACAGTACACAAATCAGATTTTCAGCTTCCCTTTTATGCCAGTTATAAAGTTTTAGATAATGGTGTTATTAGAGATGTTAGCGTTGAAGATGTTTGTTTCGCTAACAAATTTGAACAATTTGATCAATGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAGTAGACCAGGACTTTGGCTCTACTGTGTTTAATGTCCCTACCAAAGTGTTACGATATGGTTACCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACGCCACATAGTCAAATATCGTATTTTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCTGCTTGTACTATGTTTGCAATGGCCGATGGTAGTCCACAACCTTATTGTTATACAGAGGGGCTTATGCAGAACGCTCCTTTGTATAGTTCATTGGTACCTCACGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGACTTGTGCGTATTGTTCGTACTCGTTCTATGTCGTACTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTATATGCTTTAACTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGACTTAATTTATCAGCTTTTTAAAGGTTTAGCACAGCCTGTGGATTTCTTGGCATTGACTGCTAGTTCTATTGCTGGTGCTATACTTGCTGTAATTGTTGTTTTGGTGTTTTATTACTTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTATTGTTTTTGTTAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCTACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCATTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATATCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTCGCTTACTGCAGACGGCTTGGTACTTCTGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTTACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCCTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGATACTGCTGCATATAGGGAGGCTGCTTGTTCTCAGTTGGCTAAAGCAATGGATACATTTACCAATAACAATGGTAGTGATGTGCTTTACCAACCACCTACTGCTTCTGTTTCAACTTCATTCTTGCAA >DB2_TM2_VIPR_ALG4_331264482_8446_9933_1_1983_NA_Cattle_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTATGTTTTGTGTTGAGTTTGGTTTGTTTTATTGGATTGTGGTGCTTAATGCCCACTTACACAGTACACAAATCAGATTTTCAGCTTCCCGTTTATGCCAGTTATAAAGTTTTAGATAATGGTGTTATTAGGGATGTTAGCGTTGAAGATGTTTGTTTCGCTAACAAATTTGAACAATTTGATCAATGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAGTAGACCAGGATCTTGGCTCTACTGTGTTTAATGTCCCTACCAAAGTGTTACGATATGGTTACCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACGCCACATAGTCAAATATCGTATTCTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCCGCTTGTACTATGTTTGCAATGGCCGATGGTAGTCCACAACCTTATTGTTATACAGAGGGGCTTATGCAGAACGCTTCTCTGTATAGTTCATTGGTACCTCATGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGACTTGTGCGTATTGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTATATGCTTTAACTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGACTTAATTTATCAGCTTTTTAAAGGTTTAGCACAGCCTGTGGATTTCTTGGCATTGACTGCTAGTTCTATTGCTGGTGCTATACTTGCTGTAATTGTTGTTTTGGTGTTTTATTACTTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTATTGTTTTTGTTAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCTACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCATTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATATCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTTGCTTACTGCAGACGGCTTGGTACTTCTGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTTACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGATACTGCTGCATATAGGGAGGCTGCTTGTTCTCAGTTGGCTAAAGCAATGGATACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCACCTACTGCTTCCGTTTCAACTTCATTCTTGCAA >OC43_human_USA_901_33_1990_TM2_VIPR_ALG4_530802226_8428_9915_1_1990_01_16_USA_Human_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTGTGTTTTGTGTTGAGTTTGATCTGTTTTATTGGACTGTGGTGCTTAATGCCCACTTACACAGTACACAAATCAGATTTTCAGCTTCCCGTTTATGCCAGTTATAAAGTTTTAGATAATGGTGTTATTAGAGATGTTAGCGTTGAAGATGTTTGTTTCGCTAACAAATTTGAACAATTTGATCAATGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAATAGATCAGGATTTTGGCTCTACAGTGTTTAATGTCCCTACCAAAGTGTTACGATATGGTTATCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACGCCACATAGTCAAATATCGTATTCTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCTGCGTGCACTATGTTTACAACGGCCGATGGTAGTCCACAACCTTATTGTTATACAGAGGGGCTTATGCAAAATGCTTCTCTGTATAGTTCATTGGTACCTCACGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGGCTTGTACGTATCGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTATATGCTTTAATTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGATTTAATTTATCAGCTATTTAAAGGTTTAGCACAGCCTGTGGATTTTTTGGCATTGACTGCTAGTTCCATTGCTGGTGCTATACTTGCTGTAATTGTTGTTTTGGTGTTTTATTACCTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTGTTGTTTTTGTTAACGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCCACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGTCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCACTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATAGCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTTTCTTACTGCAGAAAGCTTGGTACTTCTGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTCACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGATACTGCTGCATATAGGGAGGCTGCTTGCTCTCAGTTGGCTAAAGCAATGGACACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCGCCTACTGCTTCCGTTTCAACTTCATTCTTGCAA >IWT_20_TM2_VIPR_ALG4_BBM61094_1_8437_9924_1_2016_12_Japan_Unknown_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTATGTTTTCTGTTGAGTTTGGTTTGTTTTATTGGATTGTGGTGCTTAATGCCCACTTACACAGTATACAAATCAGATTTTCAGCTTCCCGTTTATGCCAGTTATAAAGTTTTAGATAATGGTGTTATTAGAGATGTTAGCGTTGAAGATGTTTGTTTCGCTAACAAATTTGAACAATTTGATCAGTGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAGTAGACCAGGAATTTGGCTCTACTGTGTTTAATGTCCCTACCAAAGTATTACGATATGGTTACCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACGCCACATGGTCAAATATCGTATTTTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCCGCTTGTACTATGTTTGCAATGGCCGAAGGTAGTCCACAACCTTATTGTTATACAGAGGGGCTTATGCAGAACGCTTCTCTGTATAGTTCATTGGTACCTCACGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGACTTGTGCGTGTTGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTATATGCTTTAACTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGACTTAATTTATCAGCTTTTTAAAGGTTTAGCACAGCCTGTGGATTTCTTGGCATTGACTGCTAGTTCTATTGCTGGTGCTATACTTGCTGTAATTGTTGTTTTGGTGTTTTATTACTTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTATTGTTTTTGTTAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCTACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACACTTTATTTCCCTTCGGAGATAAGTGTGGTAATGCATTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGCTTGCTATATATATCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTCGCTTACTGCAGACGGCTTGGTACTTCTGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTTACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGATACTGCTGCATATAGGGAGGCTGCTTGTTCCCAGTTGGCTAAAGCAATGGATACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCACCCACTGCTTCCGTTTCAACTTCATTCTTGCAA >OC43_human_USA_9712_31_1997_TM2_VIPR_ALG4_530802379_8441_9928_1_1997_12_18_USA_Human_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTGTGTTTTGTGTTGAGTTTGGTCTGTTTTATTGGACTGTGGTGCTTAATGCCCACTTACACAGTACACAAATCAGATTTTCAGCTTCCCGTTTATGCCAGTTATAAAGTTTTAGATAATGGTGTTATTAGAGATGTTAGCGTTGAAGATGTTTGTTTCGCTAACAAATTTGAGCAATTTGATCAATGGTATGAGTCTATATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAATAGATCAGGATTTTGGCTCTACAGTGTTTAATGTCCCTACCAAAGTGTTACGATATGGTTATCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACTCCACATAGTCAAATATCGTATTCTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCTGCTTGCACTATGTTTACAATGGCCGATGGTAGTCCACAACCTTATTGTTATACAGATGGGCTTATGCAAAATGCTTCTCTGTATAGTTCATTGGTACCTCACGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGGCTTGTACGTATCGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTATATGCTTTAATTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGATTTAATTTATCAGCTATTTAAAGGTTTAGCACAGCCTGTGGATTTTTTGGCATTGACTGCTAGTTCCATTGCTGGTGCTATACTCGCTGTAATTGTTGTTTTGGTGTTTTATTACCTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTGTTGTTTTTGTTAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCCACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCACTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATAGCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTTTCTTACTGCAGAAAGCTTGGTAGTTCGGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTCACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGACACTGCTGCATATAGGGAGGCTGCTTGCTCTCAGTTGGCTAAAGCAATGGACACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCGCCTACAGCTTCCGTCTCAACTTCATTCTTGCAA >MDS11_TM2_VIPR_ALG4_QBP84728_1_8440_9927_1_NA_NA_Unknown_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTGTGTTTTGTGTTGAGTTTGGTCTGTTTTATTGGACTGTGGTGCTTAATGCCCACTTACACAGTACACAAATCAGATTTTCAGCTTCCTGTTTATGCCAGTTATAAAGTTTTAGATAATGGTGTTATTAGAGATGTTAGCGTTGAAGATGTTTGTTTCGCTAACAAATTTGAGCAATTTGATCAATGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAATAGATCAGGATTTTGGCTCTACAGTGTTTAATGTCCCTACCAAAGTGTTACGATATGGTTATCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACTCCACATAGTCAAATATCGTATTCTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCTGCTTGCACTATGTTTACAATGGCCGATGGTAGTCCACAACCTTATTGTTATACAGATGGGCTTATGCAAAATGCTTCTCTGTATAGTTCATTGGTACCTCACGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGGCTTGTACGTGTCGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTATATGCTTTAATTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGATTTAATTTATCAGCTATTTAAAGGTTTAGCACAGCCTGTGGATTTTTTGGCATTGACTGCTAGTTCCATTGCTGGTGCTATACTCGCTGTAATTGTTGTTTTGGTGTTTTATTACCTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTGTTGTTTTTGTTAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCCACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCACTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATAGCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTTTCTTACTGCAGAAAGCTTGGTACTTCTGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTCACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGACACTGCTGCATATAGGGAGGCTGCTTGCTCTCAGTTGGCTAAAGCAATGGACACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCGCCTACTGCTTCCGTTTCAACTTCATTCTTGCAA >LY342_TM2_VIPR_ALG4_721347205_8461_9948_1_2011_10_04_China_Human_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTGTGTTTTGTGTTGAGTTTGGTCTGTTTTATTGGACTGTGGTGCTTAATGCCCACTTACACAGTACACAAATCAGATTTTCAGCTTCCTGTTTATGCCAGTTATAAAGTTTTAGATAATGGTGTTATTAGAGATGTTAGCGTTGAAGATGTTTGTTTCGCTAACAAATTTGAACAATTTGATCAATGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAATAGATCAGGATTTTGGCTCTACAGTGTTTAATGTCCCTACCAAAGTGTTACGATATGGTTATCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACTCCACATAGTCAAATATCGTATTCTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCTGCTTGCACTATGTTTACAATGGCCGATGGTAGTCCACAACCTTATTGTTATACAGATGGGCTTATGCAAAATGCTTCTCTGTATAGTTCATTGGTACCTCACGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGGCTTGTACGTGTTGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTATATGCTTTAATTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGATTTAATTTATCAGCTATTTAAAGGTTTAGCACAGCCTGTGGATTTTTTGGCATTGACTGCTAGTTCCATTGCTGGTGCTATACTCGCTGTAATTGTTGTTTTGGTGTTTTATTACCTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTGTTGTTTTTGTTAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCCACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCACTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATAGCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTTTCTTACTGCAGAAAGCTTGGTACTTCTGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTCACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGACACTGCTGCATATAGGGAGGCTGCTTGCTCTCAGTTGGCTAAAGCAATGGACACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCGCCTACTGCTTCCGTTTCAACTTCATTCTTGCAA >19572_Belgium_2004_TM2_VIPR_ALG4_62530899_8461_9948_1_NA_Belgium_Unknown_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTGTGTTTTGTGTTGAGTTTGGTCTGTTTTATTGGACTGTGGTGCTTAATGCCCACTTACACAGTACACAAATCAGATTTTCAGCTTCCTGTTTATGCCAGTTATAAAGTTTTAGATAATGGTGTTATTAGAGATGTTAGCGTTGAAGATGTTTGTTTCGCTAACAAATTTGAGCAATTTGATCAATGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAATAGATCAGGATTTTGGCTCTACAGTGTTTAATGTCCCTACCAAAGTGTTACGATATGGTTATCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACTCCACATAGTCAAATATCGTATTCTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCTGCTTGCACTATGTTTACAATGGCCGATGGTAGTCCACAACCTTATTGTTATACAGATGGGCTTATGCAAAATGCTTCTCTGTATAGTTCATTGGTACCTCACGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGGCTTGTACGTGTCGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTATATGCTTTAATTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGATTTAATTTATCAGCTATTTAAAGGTTTAGCACAGCCTGTGGATTTTTTGGCATTGACTGCTAGTTCCATTGCTGGTGCTATACTCGCTGTAATTGTTGTTTTGGTGTTTTATTACCTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTGTTGTTTTTGTTAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCCACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCACTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATAGCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTTTCTTACTGCAGAAAGCTTGGTACTTCTGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTCACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGACACTGCTGCATATAGGGAGGCTGCTTGCTCTCAGTTGGCTAAAGCAATGGACACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCGCCTACTGCTTCCGTTTCAACTTCATTCTTGCAA >TCG_26_TM2_VIPR_ALG4_BBM61504_1_8434_9921_1_2017_12_Japan_Unknown_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTATGTTTTCTGTTGAGTTTGGTTTGTTTTATTGGATTGTGGTGCTTAATGCCCACTTACACAGTACACAAATCAGATTTTCAGCTTCCAGTTTATGCCAGTTATAAAGTTTTAGATAACGGTGTTATTAGAGATGTTAGCGTTGAAGATGTTTGTTTCGCTAACAAATTTGAACAATTTGATCAATGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAGTAGACCAGGATTTTGGCTCTACTGTGTTTAATGTTCCTACCAAAGTGTTACGATATGGTTACCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACGCCACATAGTCAAATATCGTATTTTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCCGCTTGTACTATGTTTGCAATGGCCGATGGTAGTCCACAACCTTATTGTTATACAGAGGGGCTTATGCAGAACGCTTCTCTGTATAGTTCATTGGTACCTCATGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGACTTGTGCGTGTTGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTATATGCTTTAATTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGATTTAATTTATCAGCTTTTTAAAGGTTTAGCACAGCCTGTGGATTTTTTGGCATTGACTGCTAGTTCTATTGCTGGTGCTATACTTGCTGTAATTGTTGTTTTGGTGTTTTATTACTTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTATTGTTTTTGTTAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCTACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCATTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATATCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTTGCTTACTGCAGACGGCTTGGTACTTCTGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTTACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCCTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGATACTGCTGCATATAGGGAGGCTGCTTGTTCTCAGTTGGCTAAAGCAATGGATACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCACCTACTGCTTCTGTTTCAACTTCATTCTTGCAA >HCoV_OC43_Seattle_USA_SC0776_2019_TM2_VIPR_ALG4_QEG03810_1_8422_9909_1_2019_USA_Human_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTGTGTTTTGTGTTGAGTTTGGTCTGTTTTATTGGACTGTGGTGCTTAATGCCCACTTACACAGTACACAAATCAGATTTTCAGCTTCCTGTTTATGCCAGTTATAAAGTTTTAGATAATGGTGTTATTAGAGATGTTAGCGTTGAAGATGTTTGTTTCGCTAACAAATTTGAGCAATTTGATCAATGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAATAGATCAGGATTTTGGCTCTACAGTGTTTAATGTCCCTACCAAAGTGTTACGATATGGTTATCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACTCCACATAGTCAAATATCGTATTCTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCTGCTTGCACTATGTTTACAATGGCCGATGGTAGTCCACAACCTTATTGTTATACAGATGGGCTTATGCAAAATGCTTCTCTGTATAGTTCATTGGTACCTCACGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGGCTTGTACGTGTCGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTATATGCTTTAATTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGATTTAATTTATCAGCTATTTAAAGGTTTAGCACAGCCTGTGGATTTTTTGGCATTGACTGCTAGTTCCATTGCTGGTGCTATACTCGCTGTAATTGTTGTTTTGGTGTTTTATTACCTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTGTTGTTTTTGTTAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCCACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCACTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATAGCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTTTCTTACTGCAGAAAGCTTGGTACTTCTGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTCACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGACACTGCTGCATATAGGGAGGCTGCTTGCTCTCAGTTGGCTAAAGCAATGGACACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCGCCTACTGCTTCCGTTTCAACTTCATTCTTGCAA >MDS4_TM2_VIPR_ALG4_QBP84719_1_8440_9927_1_NA_NA_Unknown_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTGTGTTTTGTGTTGAGTTTGGTCTGTTTTATTGGACTGTGGTGCTTAATGCCCACTTACACAGTACACAAATCAGATTTTCAGCTTCCTGTTTATGCCAGTTATAAAGTTTTAGATAATGGTGTTATTAGAGATGTTAGCGTTGAAGATGTTTGTTTCGCTAACAAATTTGAGCAATTTGATCAATGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAATAGATCAGGATTTTGGCTCTACAGTGTTTAATGTCCCTACCAAAGTGTTACGATATGGTTATCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACTCCACATAGTCAAATATCGTATTCTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCTGCTTGCACTATGTTTACAATGGCCGATGGTAGTCCACAACCTTATTGTTATACAGATGGGCTTATGCAAAATGCTTCTCTGTATAGTTCATTGGTACCTCACGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGGCTTGTACGTGTCGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTATATGCTTTAATTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGATTTAATTTATCAGCTATTTAAAGGTTTAGCACAGCCTGTGGATTTTTTGGCATTGACTGCTAGTTCCATTGCTGGTGCTATACTCGCTGTAATTGTTGTTTTGGTGTTTTATTACCTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTGTTGTTTTTGTTAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTTTGTTTCAAGTTTACCCCACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCACTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATAGCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTTTCTTACTGCAGAAAGCTTGGTACTTCTGTTCGTAGTGATGGCACATTTGAAGAAATGGCTCTCACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGACACTGCTGCATATAGGGAGGCTGCTTGCTCTCAGTTGGCTAAAGCAATGGACACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCGCCTACTGCTTCCGTTTCAACTTCATTCTTGCAA >E_AH65_TM2_VIPR_ALG4_145208890_8461_9948_1_NA_USA_Cattle_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTATGTTTTCTGTTGAGTTTGGTTTGTTTTATTGGATTGTGGTGCTTAATGCCCACTTACACAGTACACAAATCAGATTTTCAGCTTCCCGTTTATGCCAGTTATAAAGTTTTAGATAATGGTGTTATTAGAGATGTTAGCGTTGAAGATGTTTGTTTCGCTAACAAATTTGAACAATTTGATCAATGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAGTAGACCAGGATTTTGGCTCTACTGTGTTTAATGTCCCTACCAAAGTGTTACGATATGGTTACCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACGCCACATAGTCAAATATCGTATTCTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCCGCTTGTACTATGTTTGCAATGGCCGATGGTAGTCCACAACCTTATTGTTATACAGAGGGGCTTATGCAGAACGCTTCTCTGTATAGTTCATTGGTACCTCACGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGACTTGTGCGTATTGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTATATGCTTTAACTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGACTTAATTTATCAGCTTTTTAAAGGTTTAGCACAGCCTGTGGATTTCTTGGCATTGACTGCTAGTTCTATTGCTGGTGCTATACTTGCTGTAATTGTTGTTTTGGTGTTTTATTACTTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTATTGTTTTTGTTAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCTACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCATTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATATCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTCGCTTACTGCAGACGGCTTGGTACTTCTGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTTACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGATACTGCTGCATATAGGGAGGCTGCTTGTTCTCAGTTGGCTAAAGCAATGGATACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCACCTACTGCTTCCGTTTCAACTTCATTCTTGCAA >BJ232_TM2_VIPR_ALG4_AQT26494_1_8394_9881_1_2014_China_Dog_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTATGTTTTGTATTGAGTTTGGTTTGTTTTATTGGATTGTGGTGCTTAATGCCCACTTACACAGTACACAAATCAGATTTTCAGCTTCCTGTTTATGCCAGTTATAAAGTCTTAGATAATGGTGTTATTAGAGATGTTAGCGTTGAAGATGTTTGTTTCGCTAACAAGTTTGAACAATTTGATCAATGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAGTAGACCAGGATTTTGGCTCTACTGTGTTTAATGTCCCTACCAAAGTATTGCGATATGGTTACCATGTGTTGCATTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACGCCACATAGTCAAATATCATATTCTAATTTTTATGTTAGTGGCTGTGTGCTTTCCTCTGCTTGCACTATGTTTGCAATGGCAGATGGTAGTCCACAACCTTATTGTTATACAGAGGGGCTTATGCAGAACGCTTCTCTGTATAGTTCATTGGTACCTCATGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGACTTGTGCGTATTGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTATATGCTTTAATTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGACTTAATTTATCAGCTGTTTAAAGGTTTAGCACAGCCTGTGGATTTTTTGGCATTGACTGCTAGTTCCATTGCCGGTGCTATACTTGCTGTAATTGTTGTTTTGGTGTTTTATTACTTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTATAGTTTTTGTTAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCTACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCATTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATATCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTTTCTTACTGCAGACAGCTTGGTACTTCTGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTTACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGATACTGCTGCATATAGGGAGGCTGCTTGTTCTCAGTTGGCTAAAGCTATGGATACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCGCCTACTGCTTCCGTTTCAACTTCATTCTTGCAA >5445_2007_TM2_VIPR_ALG4_701216785_8460_9947_1_2007_06_China_Human_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTGTGTTTTGTGTTGAGTTTGGTCTGTTTTATTGGACTGTGGTGCTTAATGCCCACTTACACAGTACACAAATCAGATTTTCAGCTTCCTGTTTATGCCAGTTATAAAGTTTTAGATAATGGTGTTATTAGAGATGTTAGCGTTGAAGATGTTTGTTTCGCTAACAAATTTGAGCAATTTGATCAATGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAATAGATCAGGATTTTGGCTCTACAGTGTTTAATGTCCCTACCAAAGTGTTACGATATGGTTATCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACTCCACATAGTCAAATATCGTATTCTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCTGCTTGCACTATGTTTACAATGGCCGATGGTAGTCCACAACCTTATTGTTATACAGATGGGCTTATGCAAAATGCTTCTCTGTATAGTTCATTGGTACCTCACGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGGCTTGTACGTGTTGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTATATGCTTTAATTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGATTTAAGTTATCAGCTATTTAAAGGTTTAGCACAGCCTGTGGATTTTTTGGCATTGACTGCTAGTTCCATTGCTGGTGCTATACTCGCTGTAATTGTTGTTTTGGTGTTTTATTACCTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTGTTGTTTTTGTTAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCCACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCACTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATAGCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTTTCTTACTGCAGAAAGCTTGGTACTTCTGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTCACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGACACTGCTGCATATAGGGAGGCTGCTTGCTCTCAGTTGGCTAAAGCAATGGACACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCGCCTACTGCTTCCGTTTCAACTTCATTCTTGCAA >HCoV_OC43_Seattle_USA_SC2770_2015_TM2_VIPR_ALG4_ARK08647_1_8422_9909_1_2015_USA_Human_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTGTGTTTTGTGTTGAGTTTGGTCTGTTTTATTGGACTGTGGTGCGTAATGCCCACTTACACAGTACACAAATCAGATTTTCAGCTTCCTGTTTATGCCAGTTATAAAGTTTTAGATAACGGTGTTATTAGAGATGTTAGCGTTGAAGATGTTTGTTTCGCTAACAAATTTGAGCAATTTGATCAATGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAATAGATCAGGATTTTGGCTCTACAGTGTTTAATGTCCCTACCAAAGTGTTACGATATGGTTATCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACTCCACATAGTCAAATATCGTATTCTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCTGCTTGCACTATGTTTACAATGGCCGATGGTAGTCCACAACCTTATTGTTATACAGATGGGCTTATGCAAAATGCTTCTCTGTATAGTTCATTGGTACCTCACGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGGCTTGTACGTGTCGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTATATGCTTTAATTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGATTTAATTTATCAGCTATTTAAAGGTTTAGCACAGCCTGTGGATTTTTTGGCATTGACTGCTAGTTCCATTGCTGGTGCTATACTCGCTGTAATTGTTGTTTTGGTGTTTTATTACCTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTGTTGTTTTTGTTAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCCACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCACTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATAGCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTTTCTTACTGCAGAAAGCTTGGTACTACTGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTCACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGACACTGCTGCATATAGGGAGGCTGCTTGCTCTCAGTTGGCTAAAGCAATGGACACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCGCCTACTGCTTCCGTTTCAACTTCATTCTTGCAA >HCoV_OC43_Seattle_USA_SC0839_2019_TM2_VIPR_ALG4_QEG03763_1_8457_9944_1_2019_USA_Human_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTGTGTTTTGTGTTGAGTTTGGTCTGTTTTATTGGACTGTGGTGCTTAATGCCCACTTACACAGTACACAAATCAGATTTTCAGCTTCCTGTTTATGCCAGTTATAAAGTTTTAGATAATGGTGTTATTAGAGATGTTAGCGTTGAAGATGTTTGTTTCGCTAACAAATTTGAGCAATTTGATCAATGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAATAGATCAGGATTTTGGCTCTACAGTGTTTAATGTCCCTACCAAAGTGTTACGATATGGTTATCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACTCCACATAGTCAAATATCGTATTCTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCTGCTTGCACTATGTTTACAATGGCCGATGGTAGTCCACAACCTTATTGTTATACAGATGGGCTTATGCAAAATGCTTCTCTGTATAGTTCATTAGTACCTCACGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGGCTTGTACGTGTCGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTATATGCTTTAATTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGATTTAATTTATCAGCTATTTAAAGGTTTAGCACAGCCTGTGGATTTTTTGGCATTGACTGCTAGTTCCATTGCTGGTGCTATACTCGCTGTAATTGTTGTTTTGGTGTTTTATTACCTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTGTTGTTTTTGTTAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCCACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCACTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATAGCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTTTCTTACTGCAGAAAGCTTGGTACTTCTGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTCACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGATATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGACACTGCTGCATATAGGGAGGCTGCTTGCTCTCAGTTGGCTAAAGCAATGGACACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCGCCTACTGCTTCCGTTTCAACTTCATTCTTGCAA >HCoV_OC43_Seattle_USA_SC2854_2015_TM2_VIPR_ALG4_ARU07583_1_8426_9913_1_2015_USA_Human_Betacoronavirus_1 GCAGTTTTTAGTTATTTTGTTTATGTGTGTTTTGTGTTGAGTTTGGTCTGTTTTATTGGACTGTGGTGCGTAATGCCCACTTACACAGTACACAAATCAGATTTTCAGCTTCCTGTTTATGCCAGTTATAAAGTTTTAGATAACGGTGTTATTAGAGATGTTGGCGTTGAAGATGTTTGTTTCGCTAACAAATTTGAGCAATTTGATCAATGGTATGAGTCTACATTTGGTCTAAGTTATTATAGTAACAGTATGGCTTGTCCCATTGTTGTTGCTGTAATAGATCAGGATTTTGGCTCTACAGTGTTTAATGTCCCTACCAAAGTGTTACGATATGGTTATCATGTGTTGCACTTTATTACACATGCACTTTCTGCTGATGGAGTGCAGTGTTATACTCCACATAGTCAAATATCGTATTCTAATTTTTATGCTAGTGGCTGTGTGCTTTCCTCTGCTTGCACTATGTTTACAATGGCCGATGGTAGTCTACAACCTTATTGTTATACAGATGGGCTTATGCAAAATGCTTCTCTGTATAGTTCATTGGTACCTCACGTGCGGTATAATCTTGCTAATGCTAAAGGTTTTATCCGTTTTCCAGAAGTGTTGCGAGAAGGGCTTGTACGTGTCGTGCGTACTCGTTCTATGTCGTATTGCAGAGTTGGATTATGTGAGGAAGCTGATGAGGGTATATGCTTTAATTTTAATGGTTCTTGGGTGCTTAATAATGATTATTATAGATCATTGCCTGGGACCTTTTGTGGTAGAGATGTTTTTGATTTAATTTATCAGCTATTTAAAGGTTTAGCACAGCCTGTGGATTTTTTGGCATTGACTGCTAGTTCCATTGCTGGTGCTATACTCGCTGTAATTGTTGTTTTGGTGTTTTATTACCTAATAAAGCTTAAACGTGCTTTTGGTGATTACACCAGTGTTGTTTTTGTTAATGTGATTGTGTGGTGTGTAAATTTTATGATGCTTTTTGTGTTTCAAGTTTACCCCACACTTTCTTGTGTATATGCTATTTGTTATTTTTATGCCACGCTTTATTTCCCTTCGGAGATAAGTGTGATAATGCACTTACAATGGCTAGTTATGTATGGCACTATTATGCCTTTATGGTTTTGTTTGCTATATATAGCTGTTGTTGTTTCAAATCATGCTTTTTGGGTATTTTCTTACTGCAGAAAGCTTGGTACTACTGTTCGTAGTGATGGTACATTTGAAGAAATGGCTCTCACTACTTTTATGATTACAAAAGATTCTTATTGTAAGCTTAAGAATTCTTTGTCTGATGTTGCTTTTAATAGACATTTGAGTTTGTATAATAAATATAGGTATTACAGCGGTAAAATGGACACTGCTGCATATAGGGAGGCTGCTTGCTCTCAGTTGGCTAAAGCAATGGACACATTTACCAATAATAATGGTAGTGATGTGCTTTACCAACCGCCTACTGCTTCCGTTTCAACTTCATTCTTGCAA
>TCG_22_TM2_VIPR_ALG4_BBM61464_1_8417_9904_1_2016_12_Japan_Unknown_Betacoronavirus_1 AVFSYFVYVCFLLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVVDQDFGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFAMADGSPQPYCYTEGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRIVRTRSMSYCRVGLCEEADEGVCFNFNGSWVLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSIVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYISVVVSNHAFWVFAYCRRLGTSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >BJ_164_TM2_VIPR_ALG4_AXX83306_1_8372_9859_1_2015_06_09_China_Unknown_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWIFSYCRKLGTSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >YC_207_TM2_VIPR_ALG4_AXX83372_1_8351_9838_1_2015_12_02_China_Unknown_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >HCoV_OC43_Seattle_USA_SC2476_2015_TM2_VIPR_ALG4_ARK08667_1_8422_9909_1_2015_USA_Human_Betacoronavirus_1 AVFSYFVYVCFVLSVVCFIGLWCLMPTYTVHKSDFQLPVYTSYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRIVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRRLGSSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >5352_2007_TM2_VIPR_ALG4_701216673_8460_9947_1_2007_05_China_Human_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSGFQLPVYASYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >OC43_human_USA_911_38_1991_TM2_VIPR_ALG4_530802555_8438_9925_1_1991_01_15_USA_Human_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRIVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >E_AH187_TC_TM2_VIPR_ALG4_251748090_8445_9932_1_2000_01_01_USA_Cattle_Betacoronavirus_1 AVFSYFVYVCFLLSLVCFIGLWCLMPTYTVHKSDFQLPVYTSYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVVDQDLGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFAMADGSPQPYCYTEGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRIVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSIVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYISVVVSNHAFWVFAYCRRLGTSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >HCoV_OC43_Seattle_USA_SC0810_2019_TM2_VIPR_ALG4_QEG03753_1_8457_9944_1_2019_USA_Human_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >HCoV_OC43_USA_TCNP_0070_2016_TM2_VIPR_ALG4_ATN39862_1_8455_9942_1_2016_02_01_USA_Human_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_TM2_VIPR_ALG4_QEY10622_1_8453_9940_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGRSYYSNSMACPIVVAVVDQDLGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFAMADGSSQPYCYTEGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRIVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNSDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSIVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYISVVVSNHAFWVFAYCRRLGTSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >12694_2012_TM2_VIPR_ALG4_701216743_8460_9947_1_2012_05_China_Human_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >R_AH65_TM2_VIPR_ALG4_145208913_8445_9932_1_NA_USA_Cattle_Betacoronavirus_1 AVFSYFVYVCFLLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVVDQDFGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFAMADGSPQPYCYTEGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRIVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSIVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYISVVVSNHAFWVFAYCRRLGTSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >BCOV_China_SWUN_A10_2018_TM2_VIPR_ALG4_QOV05174_1_8461_9948_1_2018_11_01_China_Cattle_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVVDQDFGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYFNFYASGCVLSSACTMFAMADGSPQPYCYTEGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRIVRTRSMSYCRVGLCEEADEGICFNFNGSWVINNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSIVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYISVVVSNHAFWVFSYCRRLGTSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >IWT_6_TM2_VIPR_ALG4_BBM60994_1_8434_9921_1_2012_12_Japan_Unknown_Betacoronavirus_1 AVFSYFVYVCFLLSLVCFIGLWCLMPTYTVHKSDFQLPFYASYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVVDQDFGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYFNFYASGCVLSSACTMFAMADGSPQPYCYTEGLMQNAPLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRIVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSIVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYISVVVSNHAFWVFAYCRRLGTSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >DB2_TM2_VIPR_ALG4_331264482_8446_9933_1_1983_NA_Cattle_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVVDQDLGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFAMADGSPQPYCYTEGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRIVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSIVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYISVVVSNHAFWVFAYCRRLGTSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >OC43_human_USA_901_33_1990_TM2_VIPR_ALG4_530802226_8428_9915_1_1990_01_16_USA_Human_Betacoronavirus_1 AVFSYFVYVCFVLSLICFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTTADGSPQPYCYTEGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRIVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYVTLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >IWT_20_TM2_VIPR_ALG4_BBM61094_1_8437_9924_1_2016_12_Japan_Unknown_Betacoronavirus_1 AVFSYFVYVCFLLSLVCFIGLWCLMPTYTVYKSDFQLPVYASYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVVDQEFGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHGQISYFNFYASGCVLSSACTMFAMAEGSPQPYCYTEGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSIVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVVMHLQWLVMYGTIMPLWFCLLYISVVVSNHAFWVFAYCRRLGTSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >OC43_human_USA_9712_31_1997_TM2_VIPR_ALG4_530802379_8441_9928_1_1997_12_18_USA_Human_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESIFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRIVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGSSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >MDS11_TM2_VIPR_ALG4_QBP84728_1_8440_9927_1_NA_NA_Unknown_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >LY342_TM2_VIPR_ALG4_721347205_8461_9948_1_2011_10_04_China_Human_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >19572_Belgium_2004_TM2_VIPR_ALG4_62530899_8461_9948_1_NA_Belgium_Unknown_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >TCG_26_TM2_VIPR_ALG4_BBM61504_1_8434_9921_1_2017_12_Japan_Unknown_Betacoronavirus_1 AVFSYFVYVCFLLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVVDQDFGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYFNFYASGCVLSSACTMFAMADGSPQPYCYTEGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSIVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYISVVVSNHAFWVFAYCRRLGTSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >HCoV_OC43_Seattle_USA_SC0776_2019_TM2_VIPR_ALG4_QEG03810_1_8422_9909_1_2019_USA_Human_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >MDS4_TM2_VIPR_ALG4_QBP84719_1_8440_9927_1_NA_NA_Unknown_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSVVFVNVIVWCVNFMMLFLFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >E_AH65_TM2_VIPR_ALG4_145208890_8461_9948_1_NA_USA_Cattle_Betacoronavirus_1 AVFSYFVYVCFLLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVVDQDFGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFAMADGSPQPYCYTEGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRIVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSIVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYISVVVSNHAFWVFAYCRRLGTSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >BJ232_TM2_VIPR_ALG4_AQT26494_1_8394_9881_1_2014_China_Dog_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVVDQDFGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYSNFYVSGCVLSSACTMFAMADGSPQPYCYTEGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRIVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSIVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYISVVVSNHAFWVFSYCRQLGTSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >5445_2007_TM2_VIPR_ALG4_701216785_8460_9947_1_2007_06_China_Human_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNNDYYRSLPGTFCGRDVFDLSYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >HCoV_OC43_Seattle_USA_SC2770_2015_TM2_VIPR_ALG4_ARK08647_1_8422_9909_1_2015_USA_Human_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCVMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTTVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >HCoV_OC43_Seattle_USA_SC0839_2019_TM2_VIPR_ALG4_QEG03763_1_8457_9944_1_2019_USA_Human_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCLMPTYTVHKSDFQLPVYASYKVLDNGVIRDVSVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSPQPYCYTDGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTSVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRYLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ >HCoV_OC43_Seattle_USA_SC2854_2015_TM2_VIPR_ALG4_ARU07583_1_8426_9913_1_2015_USA_Human_Betacoronavirus_1 AVFSYFVYVCFVLSLVCFIGLWCVMPTYTVHKSDFQLPVYASYKVLDNGVIRDVGVEDVCFANKFEQFDQWYESTFGLSYYSNSMACPIVVAVIDQDFGSTVFNVPTKVLRYGYHVLHFITHALSADGVQCYTPHSQISYSNFYASGCVLSSACTMFTMADGSLQPYCYTDGLMQNASLYSSLVPHVRYNLANAKGFIRFPEVLREGLVRVVRTRSMSYCRVGLCEEADEGICFNFNGSWVLNNDYYRSLPGTFCGRDVFDLIYQLFKGLAQPVDFLALTASSIAGAILAVIVVLVFYYLIKLKRAFGDYTSVVFVNVIVWCVNFMMLFVFQVYPTLSCVYAICYFYATLYFPSEISVIMHLQWLVMYGTIMPLWFCLLYIAVVVSNHAFWVFSYCRKLGTTVRSDGTFEEMALTTFMITKDSYCKLKNSLSDVAFNRHLSLYNKYRYYSGKMDTAAYREAACSQLAKAMDTFTNNNGSDVLYQPPTASVSTSFLQ
Reading sequence file /data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_TM2_VIPR_ALG4_QEY10630_1_8451_9938_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/codeml/fasta/DcCoV_HKU23_camel_Morocco_CAC2586_2016_TM2_VIPR_ALG4_QEY10630_1_8451_9938_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1
Found 30 sequences of length 1488
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 1.8%
Found 60 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%
Using a window size of 80 with k as 3
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 86 polymorphic sites
**p-Value(s)**
----------
NSS: 1.20e-02 (1000 permutations)
Max Chi^2: 7.13e-01 (1000 permutations)
PHI (Permutation): 7.10e-02 (1000 permutations)
PHI (Normal): 5.41e-02
#NEXUS
[ID: 7918327407]
begin taxa;
dimensions ntax=30;
taxlabels
R_AH65_TM2_VIPR_ALG4_145208913_8445_9932_1_NA_USA_Cattle_Betacoronavirus_1
12694_2012_TM2_VIPR_ALG4_701216743_8460_9947_1_2012_05_China_Human_Betacoronavirus_1
BCOV_China_SWUN_A10_2018_TM2_VIPR_ALG4_QOV05174_1_8461_9948_1_2018_11_01_China_Cattle_Betacoronavirus_1
IWT_20_TM2_VIPR_ALG4_BBM61094_1_8437_9924_1_2016_12_Japan_Unknown_Betacoronavirus_1
OC43_human_USA_901_33_1990_TM2_VIPR_ALG4_530802226_8428_9915_1_1990_01_16_USA_Human_Betacoronavirus_1
OC43_human_USA_9712_31_1997_TM2_VIPR_ALG4_530802379_8441_9928_1_1997_12_18_USA_Human_Betacoronavirus_1
TCG_26_TM2_VIPR_ALG4_BBM61504_1_8434_9921_1_2017_12_Japan_Unknown_Betacoronavirus_1
19572_Belgium_2004_TM2_VIPR_ALG4_62530899_8461_9948_1_NA_Belgium_Unknown_Betacoronavirus_1
5445_2007_TM2_VIPR_ALG4_701216785_8460_9947_1_2007_06_China_Human_Betacoronavirus_1
BJ232_TM2_VIPR_ALG4_AQT26494_1_8394_9881_1_2014_China_Dog_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC2476_2015_TM2_VIPR_ALG4_ARK08667_1_8422_9909_1_2015_USA_Human_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC2854_2015_TM2_VIPR_ALG4_ARU07583_1_8426_9913_1_2015_USA_Human_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC0810_2019_TM2_VIPR_ALG4_QEG03753_1_8457_9944_1_2019_USA_Human_Betacoronavirus_1
TCG_22_TM2_VIPR_ALG4_BBM61464_1_8417_9904_1_2016_12_Japan_Unknown_Betacoronavirus_1
YC_207_TM2_VIPR_ALG4_AXX83372_1_8351_9838_1_2015_12_02_China_Unknown_Betacoronavirus_1
BJ_164_TM2_VIPR_ALG4_AXX83306_1_8372_9859_1_2015_06_09_China_Unknown_Betacoronavirus_1
OC43_human_USA_911_38_1991_TM2_VIPR_ALG4_530802555_8438_9925_1_1991_01_15_USA_Human_Betacoronavirus_1
5352_2007_TM2_VIPR_ALG4_701216673_8460_9947_1_2007_05_China_Human_Betacoronavirus_1
E_AH187_TC_TM2_VIPR_ALG4_251748090_8445_9932_1_2000_01_01_USA_Cattle_Betacoronavirus_1
DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_TM2_VIPR_ALG4_QEY10622_1_8453_9940_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1
IWT_6_TM2_VIPR_ALG4_BBM60994_1_8434_9921_1_2012_12_Japan_Unknown_Betacoronavirus_1
DB2_TM2_VIPR_ALG4_331264482_8446_9933_1_1983_NA_Cattle_Betacoronavirus_1
LY342_TM2_VIPR_ALG4_721347205_8461_9948_1_2011_10_04_China_Human_Betacoronavirus_1
MDS11_TM2_VIPR_ALG4_QBP84728_1_8440_9927_1_NA_NA_Unknown_Betacoronavirus_1
E_AH65_TM2_VIPR_ALG4_145208890_8461_9948_1_NA_USA_Cattle_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC0776_2019_TM2_VIPR_ALG4_QEG03810_1_8422_9909_1_2019_USA_Human_Betacoronavirus_1
MDS4_TM2_VIPR_ALG4_QBP84719_1_8440_9927_1_NA_NA_Unknown_Betacoronavirus_1
HCoV_OC43_USA_TCNP_0070_2016_TM2_VIPR_ALG4_ATN39862_1_8455_9942_1_2016_02_01_USA_Human_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC0839_2019_TM2_VIPR_ALG4_QEG03763_1_8457_9944_1_2019_USA_Human_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC2770_2015_TM2_VIPR_ALG4_ARK08647_1_8422_9909_1_2015_USA_Human_Betacoronavirus_1
;
end;
begin trees;
translate
1 R_AH65_TM2_VIPR_ALG4_145208913_8445_9932_1_NA_USA_Cattle_Betacoronavirus_1,
2 12694_2012_TM2_VIPR_ALG4_701216743_8460_9947_1_2012_05_China_Human_Betacoronavirus_1,
3 BCOV_China_SWUN_A10_2018_TM2_VIPR_ALG4_QOV05174_1_8461_9948_1_2018_11_01_China_Cattle_Betacoronavirus_1,
4 IWT_20_TM2_VIPR_ALG4_BBM61094_1_8437_9924_1_2016_12_Japan_Unknown_Betacoronavirus_1,
5 OC43_human_USA_901_33_1990_TM2_VIPR_ALG4_530802226_8428_9915_1_1990_01_16_USA_Human_Betacoronavirus_1,
6 OC43_human_USA_9712_31_1997_TM2_VIPR_ALG4_530802379_8441_9928_1_1997_12_18_USA_Human_Betacoronavirus_1,
7 TCG_26_TM2_VIPR_ALG4_BBM61504_1_8434_9921_1_2017_12_Japan_Unknown_Betacoronavirus_1,
8 19572_Belgium_2004_TM2_VIPR_ALG4_62530899_8461_9948_1_NA_Belgium_Unknown_Betacoronavirus_1,
9 5445_2007_TM2_VIPR_ALG4_701216785_8460_9947_1_2007_06_China_Human_Betacoronavirus_1,
10 BJ232_TM2_VIPR_ALG4_AQT26494_1_8394_9881_1_2014_China_Dog_Betacoronavirus_1,
11 HCoV_OC43_Seattle_USA_SC2476_2015_TM2_VIPR_ALG4_ARK08667_1_8422_9909_1_2015_USA_Human_Betacoronavirus_1,
12 HCoV_OC43_Seattle_USA_SC2854_2015_TM2_VIPR_ALG4_ARU07583_1_8426_9913_1_2015_USA_Human_Betacoronavirus_1,
13 HCoV_OC43_Seattle_USA_SC0810_2019_TM2_VIPR_ALG4_QEG03753_1_8457_9944_1_2019_USA_Human_Betacoronavirus_1,
14 TCG_22_TM2_VIPR_ALG4_BBM61464_1_8417_9904_1_2016_12_Japan_Unknown_Betacoronavirus_1,
15 YC_207_TM2_VIPR_ALG4_AXX83372_1_8351_9838_1_2015_12_02_China_Unknown_Betacoronavirus_1,
16 BJ_164_TM2_VIPR_ALG4_AXX83306_1_8372_9859_1_2015_06_09_China_Unknown_Betacoronavirus_1,
17 OC43_human_USA_911_38_1991_TM2_VIPR_ALG4_530802555_8438_9925_1_1991_01_15_USA_Human_Betacoronavirus_1,
18 5352_2007_TM2_VIPR_ALG4_701216673_8460_9947_1_2007_05_China_Human_Betacoronavirus_1,
19 E_AH187_TC_TM2_VIPR_ALG4_251748090_8445_9932_1_2000_01_01_USA_Cattle_Betacoronavirus_1,
20 DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_TM2_VIPR_ALG4_QEY10622_1_8453_9940_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1,
21 IWT_6_TM2_VIPR_ALG4_BBM60994_1_8434_9921_1_2012_12_Japan_Unknown_Betacoronavirus_1,
22 DB2_TM2_VIPR_ALG4_331264482_8446_9933_1_1983_NA_Cattle_Betacoronavirus_1,
23 LY342_TM2_VIPR_ALG4_721347205_8461_9948_1_2011_10_04_China_Human_Betacoronavirus_1,
24 MDS11_TM2_VIPR_ALG4_QBP84728_1_8440_9927_1_NA_NA_Unknown_Betacoronavirus_1,
25 E_AH65_TM2_VIPR_ALG4_145208890_8461_9948_1_NA_USA_Cattle_Betacoronavirus_1,
26 HCoV_OC43_Seattle_USA_SC0776_2019_TM2_VIPR_ALG4_QEG03810_1_8422_9909_1_2019_USA_Human_Betacoronavirus_1,
27 MDS4_TM2_VIPR_ALG4_QBP84719_1_8440_9927_1_NA_NA_Unknown_Betacoronavirus_1,
28 HCoV_OC43_USA_TCNP_0070_2016_TM2_VIPR_ALG4_ATN39862_1_8455_9942_1_2016_02_01_USA_Human_Betacoronavirus_1,
29 HCoV_OC43_Seattle_USA_SC0839_2019_TM2_VIPR_ALG4_QEG03763_1_8457_9944_1_2019_USA_Human_Betacoronavirus_1,
30 HCoV_OC43_Seattle_USA_SC2770_2015_TM2_VIPR_ALG4_ARK08647_1_8422_9909_1_2015_USA_Human_Betacoronavirus_1
;
[Note: This tree contains information on the topology,
branch lengths (if present), and the probability
of the partition indicated by the branch.]
tree con_50_majrule = (1:1.147590e-03,4:8.229672e-03,21:6.392112e-03,25:4.258134e-04,((((((((2:4.084423e-04,8:4.220452e-04,(9:1.140192e-03,23:1.171455e-03)0.683:9.833660e-04,(12:2.160200e-03,30:4.112146e-04)1.000:2.197071e-03,13:4.156631e-04,15:9.533129e-04,16:2.199737e-03,18:9.596596e-04,24:4.098436e-04,26:3.976217e-04,27:1.586539e-03,28:4.059289e-04,29:1.003276e-03)0.947:1.666628e-03,((6:9.346070e-04,11:4.549480e-03)1.000:2.253219e-03,17:9.086866e-04)0.863:1.022824e-03)1.000:3.695567e-03,5:3.288828e-03)1.000:1.758079e-02,10:8.959232e-03)0.998:4.390090e-03,3:7.570279e-03)0.992:2.166918e-03,(20:9.551831e-03,22:1.031081e-03)0.503:7.393443e-04)0.991:1.638208e-03,19:2.363572e-03)0.565:1.031235e-03,(7:5.993305e-03,14:3.328304e-03)0.671:1.547266e-03)0.575:1.035180e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:1.147590e-03,4:8.229672e-03,21:6.392112e-03,25:4.258134e-04,((((((((2:4.084423e-04,8:4.220452e-04,(9:1.140192e-03,23:1.171455e-03):9.833660e-04,(12:2.160200e-03,30:4.112146e-04):2.197071e-03,13:4.156631e-04,15:9.533129e-04,16:2.199737e-03,18:9.596596e-04,24:4.098436e-04,26:3.976217e-04,27:1.586539e-03,28:4.059289e-04,29:1.003276e-03):1.666628e-03,((6:9.346070e-04,11:4.549480e-03):2.253219e-03,17:9.086866e-04):1.022824e-03):3.695567e-03,5:3.288828e-03):1.758079e-02,10:8.959232e-03):4.390090e-03,3:7.570279e-03):2.166918e-03,(20:9.551831e-03,22:1.031081e-03):7.393443e-04):1.638208e-03,19:2.363572e-03):1.031235e-03,(7:5.993305e-03,14:3.328304e-03):1.547266e-03):1.035180e-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 -3072.71 -3099.73
2 -3070.87 -3107.10
--------------------------------------
TOTAL -3071.42 -3106.41
--------------------------------------
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} 0.137651 0.000228 0.107531 0.165913 0.136742 1316.79 1408.89 1.002
r(A<->C){all} 0.046399 0.000466 0.010608 0.088432 0.043338 508.38 705.24 1.000
r(A<->G){all} 0.290611 0.001918 0.212449 0.383041 0.287560 662.37 720.36 1.001
r(A<->T){all} 0.032701 0.000121 0.013134 0.054882 0.031500 725.43 937.92 1.000
r(C<->G){all} 0.031503 0.000338 0.001653 0.066695 0.028016 773.06 832.92 1.000
r(C<->T){all} 0.528462 0.002267 0.434447 0.619460 0.530655 763.00 920.15 1.000
r(G<->T){all} 0.070326 0.000289 0.040274 0.105912 0.069384 948.23 1000.93 1.000
pi(A){all} 0.233681 0.000116 0.212859 0.254665 0.233523 780.68 940.64 1.000
pi(C){all} 0.145660 0.000078 0.129405 0.163712 0.145458 841.23 1044.13 1.000
pi(G){all} 0.214188 0.000104 0.193680 0.233724 0.214274 1079.56 1126.34 1.000
pi(T){all} 0.406471 0.000151 0.382369 0.430677 0.406341 970.01 978.55 1.000
alpha{1,2} 0.266401 0.032646 0.000540 0.544202 0.235342 793.64 917.95 1.000
alpha{3} 1.873392 1.236436 0.352607 4.138759 1.615725 1203.60 1208.00 1.000
pinvar{all} 0.582119 0.009666 0.376726 0.741713 0.594343 726.11 841.48 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
CODONML (in paml version 4.9h, March 2018) /data/fasta_checked/DcCoV_HKU23_camel_Morocco_CAC2586_2016_TM2_VIPR_ALG4_QEY10630_1_8451_9938_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 = 496
Codon usage in sequences
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 34 35 35 35 35 35 | Ser TCT 16 15 15 14 15 15 | Tyr TAT 33 33 33 32 33 33 | Cys TGT 16 14 14 14 14 14
TTC 4 3 3 3 3 3 | TCC 2 3 3 3 3 3 | TAC 7 7 7 8 7 7 | TGC 4 6 6 6 6 6
Leu TTA 10 8 8 8 8 8 | TCA 6 6 6 6 6 6 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 16 15 15 14 15 14 | TCG 3 3 3 4 3 3 | TAG 0 0 0 0 0 0 | Trp TGG 7 7 7 7 7 7
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 17 14 14 14 14 14 | Pro CCT 9 9 10 9 9 8 | His CAT 5 4 4 4 4 4 | Arg CGT 6 6 6 6 6 6
CTC 0 2 2 2 2 2 | CCC 3 3 2 4 3 4 | CAC 3 4 4 4 4 4 | CGC 0 0 0 0 0 0
CTA 2 5 5 5 5 5 | CCA 4 3 3 3 3 3 | Gln CAA 8 9 9 9 9 9 | CGA 2 2 2 2 2 2
CTG 2 2 2 2 2 3 | CCG 0 1 1 0 1 1 | CAG 7 6 6 6 6 6 | CGG 2 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 13 11 11 11 11 11 | Thr ACT 12 12 12 10 12 12 | Asn AAT 18 19 19 19 19 19 | Ser AGT 16 16 16 17 16 16
ATC 1 1 1 2 1 2 | ACC 4 4 4 5 4 4 | AAC 3 2 2 2 2 2 | AGC 2 2 2 2 2 2
ATA 6 9 8 8 8 8 | ACA 8 10 10 11 10 10 | Lys AAA 11 11 11 10 11 11 | Arg AGA 6 6 6 6 6 6
Met ATG 15 15 15 15 15 15 | ACG 2 1 1 1 1 1 | AAG 3 4 4 4 4 4 | AGG 2 2 2 3 2 2
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 25 24 25 24 25 24 | Ala GCT 25 25 25 25 25 25 | Asp GAT 19 19 20 20 19 20 | Gly GGT 15 15 15 15 16 15
GTC 1 4 3 3 3 3 | GCC 3 3 3 2 3 3 | GAC 2 3 2 2 2 2 | GGC 3 3 3 3 3 3
GTA 11 7 8 8 8 8 | GCA 7 6 6 6 6 6 | Glu GAA 7 6 6 6 6 6 | GGA 4 3 3 2 3 3
GTG 16 18 18 19 18 18 | GCG 0 0 0 0 0 0 | GAG 6 6 6 6 6 6 | GGG 2 3 3 4 3 3
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 33 35 35 32 35 33 | Ser TCT 15 15 15 15 15 16 | Tyr TAT 32 33 33 32 33 32 | Cys TGT 16 14 14 16 14 16
TTC 4 3 3 5 3 5 | TCC 3 3 3 3 3 2 | TAC 8 7 7 8 7 8 | TGC 4 6 6 4 6 4
Leu TTA 9 8 8 9 8 9 | TCA 6 6 6 7 6 6 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 16 15 15 17 15 16 | TCG 3 3 3 3 3 3 | TAG 0 0 0 0 0 0 | Trp TGG 7 7 7 7 7 7
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 18 14 14 17 14 17 | Pro CCT 9 9 9 9 9 9 | His CAT 5 4 4 6 4 5 | Arg CGT 6 6 6 6 6 6
CTC 0 2 2 1 2 0 | CCC 3 3 3 3 3 3 | CAC 3 4 4 2 4 3 | CGC 0 0 0 0 0 0
CTA 3 5 5 2 5 3 | CCA 4 3 3 3 3 4 | Gln CAA 8 9 9 7 9 8 | CGA 2 2 2 3 2 2
CTG 2 2 2 0 2 2 | CCG 0 1 1 0 1 0 | CAG 7 6 6 8 6 7 | CGG 2 1 1 2 1 2
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 13 11 11 11 11 13 | Thr ACT 12 12 12 12 12 12 | Asn AAT 18 19 19 17 19 17 | Ser AGT 16 16 16 17 16 16
ATC 1 1 1 2 1 1 | ACC 5 4 4 4 4 4 | AAC 3 2 2 3 2 4 | AGC 2 2 2 2 2 2
ATA 7 8 8 8 8 7 | ACA 8 10 10 8 10 8 | Lys AAA 11 11 11 11 11 11 | Arg AGA 6 6 6 6 6 6
Met ATG 15 15 15 15 15 15 | ACG 2 1 1 2 1 2 | AAG 3 4 4 3 4 3 | AGG 2 2 2 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 24 25 25 26 25 24 | Ala GCT 25 25 25 25 25 25 | Asp GAT 19 20 20 20 20 19 | Gly GGT 15 15 15 15 15 15
GTC 2 3 3 1 3 2 | GCC 2 3 3 3 3 3 | GAC 2 2 2 1 2 2 | GGC 3 3 3 3 3 3
GTA 9 8 8 8 8 9 | GCA 7 6 6 7 6 7 | Glu GAA 7 6 6 7 6 7 | GGA 4 3 3 4 3 4
GTG 17 18 18 18 18 17 | GCG 0 0 0 0 0 0 | GAG 6 6 6 6 6 6 | GGG 2 3 3 2 3 2
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 33 35 33 35 34 35 | Ser TCT 15 14 15 15 13 14 | Tyr TAT 32 31 32 33 32 33 | Cys TGT 17 16 16 14 15 14
TTC 6 5 4 3 5 3 | TCC 3 2 3 3 4 3 | TAC 8 9 8 7 9 7 | TGC 3 4 4 6 5 6
Leu TTA 7 9 9 8 9 8 | TCA 6 6 6 6 6 6 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 17 17 16 15 16 15 | TCG 3 3 3 3 3 4 | TAG 0 0 0 0 0 0 | Trp TGG 7 7 7 7 7 7
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 15 17 18 15 17 14 | Pro CCT 8 10 9 8 8 8 | His CAT 6 5 6 4 5 4 | Arg CGT 6 6 6 6 6 6
CTC 0 0 0 1 0 2 | CCC 3 3 3 4 4 4 | CAC 2 3 2 4 2 4 | CGC 0 0 0 0 0 0
CTA 4 3 3 5 3 5 | CCA 5 4 4 3 4 3 | Gln CAA 8 8 8 9 7 9 | CGA 2 2 2 2 2 2
CTG 2 1 1 2 2 2 | CCG 0 0 0 1 0 1 | CAG 7 7 7 6 8 6 | CGG 2 2 2 1 2 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 14 13 13 11 12 11 | Thr ACT 11 12 12 11 12 10 | Asn AAT 17 16 17 18 17 19 | Ser AGT 17 16 16 16 15 17
ATC 1 1 1 3 1 2 | ACC 4 4 4 4 4 4 | AAC 4 5 4 3 4 2 | AGC 1 2 2 2 2 2
ATA 7 7 7 8 6 9 | ACA 8 8 8 10 9 10 | Lys AAA 11 11 11 11 11 11 | Arg AGA 6 6 5 6 6 6
Met ATG 15 15 15 14 15 15 | ACG 3 2 2 3 1 1 | AAG 3 3 3 4 3 4 | AGG 2 2 3 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 26 25 25 25 26 24 | Ala GCT 24 25 25 24 25 25 | Asp GAT 19 18 19 20 17 20 | Gly GGT 14 15 15 15 16 15
GTC 1 1 1 2 1 3 | GCC 3 3 3 2 3 3 | GAC 2 3 2 1 2 2 | GGC 4 3 3 3 3 3
GTA 9 9 9 8 11 8 | GCA 7 7 7 6 7 6 | Glu GAA 7 7 7 7 9 6 | GGA 4 4 4 3 4 3
GTG 17 16 18 18 16 18 | GCG 0 0 0 1 0 0 | GAG 6 6 6 6 6 6 | GGG 2 2 2 3 2 3
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 35 35 35 36 35 35 | Ser TCT 15 15 15 14 15 15 | Tyr TAT 33 33 33 32 33 33 | Cys TGT 14 14 14 16 14 14
TTC 3 3 3 3 3 3 | TCC 3 3 3 3 3 3 | TAC 7 7 7 8 7 7 | TGC 6 6 6 4 6 6
Leu TTA 8 8 8 9 8 8 | TCA 6 6 6 6 6 6 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 15 15 15 16 15 16 | TCG 3 3 3 3 3 3 | TAG 0 0 0 0 0 0 | Trp TGG 7 7 7 7 7 7
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 14 14 14 17 14 14 | Pro CCT 9 9 9 9 9 9 | His CAT 4 4 4 6 4 4 | Arg CGT 6 6 6 6 6 6
CTC 2 2 2 0 2 2 | CCC 3 3 3 2 3 3 | CAC 4 4 4 2 4 4 | CGC 0 0 0 0 0 0
CTA 5 5 5 3 5 5 | CCA 3 3 3 5 3 3 | Gln CAA 9 9 9 8 9 9 | CGA 2 2 2 2 2 2
CTG 2 2 2 2 2 2 | CCG 1 1 1 0 1 1 | CAG 6 6 6 7 6 6 | CGG 1 1 1 2 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 11 11 11 12 11 11 | Thr ACT 12 12 12 12 12 12 | Asn AAT 19 19 19 17 19 19 | Ser AGT 16 16 16 16 16 16
ATC 1 1 1 1 1 1 | ACC 4 4 4 4 4 4 | AAC 2 2 2 4 2 2 | AGC 2 2 2 2 2 2
ATA 8 8 8 7 8 8 | ACA 10 10 10 8 10 10 | Lys AAA 11 11 11 11 11 11 | Arg AGA 6 6 6 6 6 6
Met ATG 15 15 15 15 15 15 | ACG 1 1 1 2 1 1 | AAG 4 4 4 3 4 4 | AGG 2 2 2 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 25 26 25 27 25 25 | Ala GCT 25 25 25 25 25 25 | Asp GAT 20 20 20 20 20 20 | Gly GGT 15 15 15 15 15 14
GTC 3 2 3 0 3 3 | GCC 3 3 3 3 3 3 | GAC 2 2 2 1 2 2 | GGC 3 3 3 3 3 4
GTA 8 8 8 9 8 8 | GCA 6 6 6 7 6 6 | Glu GAA 6 7 6 7 6 6 | GGA 3 3 3 4 3 3
GTG 18 18 18 17 18 17 | GCG 0 0 0 0 0 0 | GAG 6 5 6 6 6 6 | GGG 3 3 3 2 3 3
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 33 35 35 35 35 35 | Ser TCT 15 16 15 14 15 14 | Tyr TAT 32 32 33 33 33 32 | Cys TGT 16 15 14 14 14 14
TTC 5 3 3 3 3 3 | TCC 3 3 3 3 3 3 | TAC 8 8 7 7 7 7 | TGC 4 5 6 6 6 6
Leu TTA 9 8 8 7 9 7 | TCA 6 7 6 6 6 6 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 16 17 15 15 14 15 | TCG 3 2 3 3 3 3 | TAG 0 0 0 0 0 0 | Trp TGG 7 7 7 7 7 7
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 17 16 14 14 14 14 | Pro CCT 9 10 9 9 9 9 | His CAT 5 7 4 4 4 5 | Arg CGT 6 6 6 6 6 6
CTC 0 0 2 2 2 2 | CCC 3 2 3 3 3 3 | CAC 3 1 4 4 4 4 | CGC 0 0 0 0 0 0
CTA 3 3 5 5 5 6 | CCA 4 3 3 3 3 2 | Gln CAA 8 8 9 9 9 9 | CGA 2 2 2 2 2 2
CTG 2 2 2 2 2 2 | CCG 0 1 1 1 1 1 | CAG 7 8 6 6 6 6 | CGG 2 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 13 12 10 11 11 11 | Thr ACT 12 12 12 13 12 13 | Asn AAT 17 18 19 18 19 18 | Ser AGT 16 16 17 16 16 16
ATC 1 1 1 1 1 1 | ACC 4 4 4 4 4 4 | AAC 4 3 2 3 2 3 | AGC 2 2 2 2 2 1
ATA 7 8 8 8 8 8 | ACA 8 8 10 10 10 10 | Lys AAA 11 10 11 11 11 11 | Arg AGA 6 6 6 6 6 6
Met ATG 15 15 15 15 15 15 | ACG 2 2 1 1 1 1 | AAG 3 4 4 4 4 4 | AGG 2 2 2 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 25 25 26 25 25 25 | Ala GCT 25 23 25 25 25 25 | Asp GAT 19 19 20 20 20 20 | Gly GGT 15 15 15 15 15 15
GTC 1 2 2 3 3 3 | GCC 3 3 3 3 3 3 | GAC 2 2 2 2 2 2 | GGC 3 3 3 3 3 4
GTA 9 11 8 9 8 9 | GCA 7 7 6 6 6 6 | Glu GAA 7 7 6 6 6 6 | GGA 4 4 3 3 3 3
GTG 17 16 18 18 18 18 | GCG 0 0 0 0 0 0 | GAG 6 6 6 6 6 6 | GGG 2 2 3 3 3 3
--------------------------------------------------------------------------------------------------------------------------------------
Codon position x base (3x4) table for each sequence.
#1: C238
position 1: T:0.31855 C:0.14113 A:0.24597 G:0.29435
position 2: T:0.34879 C:0.20968 A:0.26613 G:0.17540
position 3: T:0.56250 C:0.08468 A:0.18548 G:0.16734
Average T:0.40995 C:0.14516 A:0.23253 G:0.21237
#2: C60
position 1: T:0.31250 C:0.14315 A:0.25202 G:0.29234
position 2: T:0.34879 C:0.20968 A:0.26815 G:0.17339
position 3: T:0.54637 C:0.10081 A:0.18347 G:0.16935
Average T:0.40255 C:0.15121 A:0.23454 G:0.21169
#3: C281
position 1: T:0.31250 C:0.14315 A:0.25000 G:0.29435
position 2: T:0.34879 C:0.20968 A:0.26815 G:0.17339
position 3: T:0.55242 C:0.09476 A:0.18347 G:0.16935
Average T:0.40457 C:0.14919 A:0.23387 G:0.21237
#4: C82
position 1: T:0.31048 C:0.14315 A:0.25403 G:0.29234
position 2: T:0.34879 C:0.20766 A:0.26613 G:0.17742
position 3: T:0.54234 C:0.10282 A:0.18145 G:0.17339
Average T:0.40054 C:0.15121 A:0.23387 G:0.21438
#5: C32
position 1: T:0.31250 C:0.14315 A:0.25000 G:0.29435
position 2: T:0.34879 C:0.20968 A:0.26613 G:0.17540
position 3: T:0.55040 C:0.09677 A:0.18347 G:0.16935
Average T:0.40390 C:0.14987 A:0.23320 G:0.21304
#6: C178
position 1: T:0.31048 C:0.14516 A:0.25202 G:0.29234
position 2: T:0.34879 C:0.20968 A:0.26815 G:0.17339
position 3: T:0.54637 C:0.10081 A:0.18347 G:0.16935
Average T:0.40188 C:0.15188 A:0.23454 G:0.21169
#7: C71
position 1: T:0.31452 C:0.14516 A:0.25000 G:0.29032
position 2: T:0.34879 C:0.20968 A:0.26613 G:0.17540
position 3: T:0.55645 C:0.09073 A:0.18347 G:0.16935
Average T:0.40659 C:0.14852 A:0.23320 G:0.21169
#8: C78
position 1: T:0.31250 C:0.14315 A:0.25000 G:0.29435
position 2: T:0.34879 C:0.20968 A:0.26815 G:0.17339
position 3: T:0.55040 C:0.09677 A:0.18347 G:0.16935
Average T:0.40390 C:0.14987 A:0.23387 G:0.21237
#9: C93
position 1: T:0.31250 C:0.14315 A:0.25000 G:0.29435
position 2: T:0.34879 C:0.20968 A:0.26815 G:0.17339
position 3: T:0.55040 C:0.09677 A:0.18347 G:0.16935
Average T:0.40390 C:0.14987 A:0.23387 G:0.21237
#10: C66
position 1: T:0.31855 C:0.13911 A:0.24798 G:0.29435
position 2: T:0.34677 C:0.20968 A:0.26411 G:0.17944
position 3: T:0.55645 C:0.09073 A:0.18145 G:0.17137
Average T:0.40726 C:0.14651 A:0.23118 G:0.21505
#11: C7
position 1: T:0.31250 C:0.14315 A:0.25000 G:0.29435
position 2: T:0.34879 C:0.20968 A:0.26815 G:0.17339
position 3: T:0.55040 C:0.09677 A:0.18347 G:0.16935
Average T:0.40390 C:0.14987 A:0.23387 G:0.21237
#12: C216
position 1: T:0.31653 C:0.14315 A:0.24798 G:0.29234
position 2: T:0.34879 C:0.20968 A:0.26613 G:0.17540
position 3: T:0.55444 C:0.09274 A:0.18347 G:0.16935
Average T:0.40659 C:0.14852 A:0.23253 G:0.21237
#13: C53
position 1: T:0.31653 C:0.14113 A:0.25000 G:0.29234
position 2: T:0.35081 C:0.20766 A:0.26613 G:0.17540
position 3: T:0.55242 C:0.09073 A:0.18347 G:0.17339
Average T:0.40659 C:0.14651 A:0.23320 G:0.21371
#14: C124
position 1: T:0.31855 C:0.14315 A:0.24798 G:0.29032
position 2: T:0.35081 C:0.20766 A:0.26613 G:0.17540
position 3: T:0.55242 C:0.09677 A:0.18347 G:0.16734
Average T:0.40726 C:0.14919 A:0.23253 G:0.21102
#15: C65
position 1: T:0.31452 C:0.14315 A:0.24798 G:0.29435
position 2: T:0.34879 C:0.20968 A:0.26613 G:0.17540
position 3: T:0.55847 C:0.08871 A:0.18145 G:0.17137
Average T:0.40726 C:0.14718 A:0.23185 G:0.21371
#16: C173
position 1: T:0.31250 C:0.14315 A:0.25403 G:0.29032
position 2: T:0.34879 C:0.20968 A:0.26815 G:0.17339
position 3: T:0.54435 C:0.09677 A:0.18548 G:0.17339
Average T:0.40188 C:0.14987 A:0.23589 G:0.21237
#17: C113
position 1: T:0.31855 C:0.14113 A:0.24194 G:0.29839
position 2: T:0.35081 C:0.20766 A:0.26613 G:0.17540
position 3: T:0.54435 C:0.09879 A:0.18952 G:0.16734
Average T:0.40457 C:0.14919 A:0.23253 G:0.21371
#18: C197
position 1: T:0.31250 C:0.14315 A:0.25202 G:0.29234
position 2: T:0.35081 C:0.20565 A:0.26815 G:0.17540
position 3: T:0.54234 C:0.10081 A:0.18548 G:0.17137
Average T:0.40188 C:0.14987 A:0.23522 G:0.21304
#19: C131
position 1: T:0.31250 C:0.14315 A:0.25000 G:0.29435
position 2: T:0.34879 C:0.20968 A:0.26815 G:0.17339
position 3: T:0.55040 C:0.09677 A:0.18347 G:0.16935
Average T:0.40390 C:0.14987 A:0.23387 G:0.21237
#20: C130
position 1: T:0.31250 C:0.14315 A:0.25000 G:0.29435
position 2: T:0.34879 C:0.20968 A:0.26815 G:0.17339
position 3: T:0.55242 C:0.09476 A:0.18548 G:0.16734
Average T:0.40457 C:0.14919 A:0.23454 G:0.21169
#21: C11
position 1: T:0.31250 C:0.14315 A:0.25000 G:0.29435
position 2: T:0.34879 C:0.20968 A:0.26815 G:0.17339
position 3: T:0.55040 C:0.09677 A:0.18347 G:0.16935
Average T:0.40390 C:0.14987 A:0.23387 G:0.21237
#22: C242
position 1: T:0.31653 C:0.14315 A:0.24597 G:0.29435
position 2: T:0.35081 C:0.20766 A:0.26613 G:0.17540
position 3: T:0.56452 C:0.08065 A:0.18548 G:0.16935
Average T:0.41062 C:0.14382 A:0.23253 G:0.21304
#23: C77
position 1: T:0.31250 C:0.14315 A:0.25000 G:0.29435
position 2: T:0.34879 C:0.20968 A:0.26815 G:0.17339
position 3: T:0.55040 C:0.09677 A:0.18347 G:0.16935
Average T:0.40390 C:0.14987 A:0.23387 G:0.21237
#24: C136
position 1: T:0.31452 C:0.14315 A:0.25000 G:0.29234
position 2: T:0.34879 C:0.20968 A:0.26815 G:0.17339
position 3: T:0.54839 C:0.09879 A:0.18347 G:0.16935
Average T:0.40390 C:0.15054 A:0.23387 G:0.21169
#25: C72
position 1: T:0.31653 C:0.14315 A:0.24798 G:0.29234
position 2: T:0.34879 C:0.20968 A:0.26613 G:0.17540
position 3: T:0.55444 C:0.09274 A:0.18347 G:0.16935
Average T:0.40659 C:0.14852 A:0.23253 G:0.21237
#26: C57
position 1: T:0.31855 C:0.14113 A:0.24798 G:0.29234
position 2: T:0.35081 C:0.20766 A:0.26815 G:0.17339
position 3: T:0.55847 C:0.08468 A:0.18548 G:0.17137
Average T:0.40927 C:0.14449 A:0.23387 G:0.21237
#27: C36
position 1: T:0.31250 C:0.14315 A:0.25000 G:0.29435
position 2: T:0.34677 C:0.20968 A:0.26815 G:0.17540
position 3: T:0.55242 C:0.09476 A:0.18347 G:0.16935
Average T:0.40390 C:0.14919 A:0.23387 G:0.21304
#28: C84
position 1: T:0.30847 C:0.14315 A:0.25202 G:0.29637
position 2: T:0.34879 C:0.20968 A:0.26815 G:0.17339
position 3: T:0.54839 C:0.09879 A:0.18347 G:0.16935
Average T:0.40188 C:0.15054 A:0.23454 G:0.21304
#29: C79
position 1: T:0.31250 C:0.14315 A:0.25000 G:0.29435
position 2: T:0.34879 C:0.20968 A:0.26815 G:0.17339
position 3: T:0.55040 C:0.09677 A:0.18548 G:0.16734
Average T:0.40390 C:0.14987 A:0.23454 G:0.21169
#30: C85
position 1: T:0.30645 C:0.14516 A:0.25000 G:0.29839
position 2: T:0.35081 C:0.20766 A:0.26815 G:0.17339
position 3: T:0.54839 C:0.09879 A:0.18347 G:0.16935
Average T:0.40188 C:0.15054 A:0.23387 G:0.21371
Sums of codon usage counts
------------------------------------------------------------------------------
Phe F TTT 1036 | Ser S TCT 445 | Tyr Y TAT 977 | Cys C TGT 441
TTC 106 | TCC 88 | TAC 223 | TGC 159
Leu L TTA 248 | TCA 182 | *** * TAA 0 | *** * TGA 0
TTG 463 | TCG 91 | TAG 0 | Trp W TGG 210
------------------------------------------------------------------------------
Leu L CTT 453 | Pro P CCT 268 | His H CAT 138 | Arg R CGT 180
CTC 38 | CCC 92 | CAC 102 | CGC 0
CTA 128 | CCA 100 | Gln Q CAA 257 | CGA 61
CTG 57 | CCG 19 | CAG 194 | CGG 40
------------------------------------------------------------------------------
Ile I ATT 347 | Thr T ACT 356 | Asn N AAT 547 | Ser S AGT 484
ATC 36 | ACC 122 | AAC 82 | AGC 58
ATA 231 | ACA 280 | Lys K AAA 328 | Arg R AGA 179
Met M ATG 449 | ACG 43 | AAG 110 | AGG 62
------------------------------------------------------------------------------
Val V GTT 751 | Ala A GCT 746 | Asp D GAT 586 | Gly G GGT 450
GTC 68 | GCC 87 | GAC 59 | GGC 93
GTA 257 | GCA 191 | Glu E GAA 195 | GGA 100
GTG 527 | GCG 1 | GAG 179 | GGG 80
------------------------------------------------------------------------------
Codon position x base (3x4) table, overall
position 1: T:0.31378 C:0.14294 A:0.24960 G:0.29368
position 2: T:0.34913 C:0.20907 A:0.26727 G:0.17453
position 3: T:0.55141 C:0.09496 A:0.18394 G:0.16969
Average T:0.40477 C:0.14899 A:0.23360 G:0.21263
Model 1: NearlyNeutral (2 categories)
TREE # 1: (12, 17, 14, 25, ((((((((11, 21, (27, 20), (30, 28), 8, 3, 2, 5, 19, 23, 24, 9, 29), ((18, 4), 6)), 16), 26), 13), (10, 15)), 7), (22, 1))); MP score: 166
lnL(ntime: 44 np: 47): -2957.568934 +0.000000
31..12 31..17 31..14 31..25 31..32 32..33 33..34 34..35 35..36 36..37 37..38 38..39 39..11 39..21 39..40 40..27 40..20 39..41 41..30 41..28 39..8 39..3 39..2 39..5 39..19 39..23 39..24 39..9 39..29 38..42 42..43 43..18 43..4 42..6 37..16 36..26 35..13 34..44 44..10 44..15 33..7 32..45 45..22 45..1
0.004331 0.028705 0.024271 0.000004 0.002167 0.002126 0.004406 0.007282 0.015008 0.061258 0.011061 0.004510 0.000004 0.000004 0.002160 0.002184 0.002175 0.006545 0.006521 0.000004 0.000004 0.002175 0.006529 0.002174 0.000004 0.000004 0.004355 0.000004 0.002174 0.002029 0.006584 0.002157 0.015347 0.002159 0.011297 0.029823 0.026101 0.000004 0.033620 0.002209 0.006602 0.004178 0.020432 0.009131 6.352207 0.949526 0.041191
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.373824
(12: 0.004331, 17: 0.028705, 14: 0.024271, 25: 0.000004, ((((((((11: 0.000004, 21: 0.000004, (27: 0.002184, 20: 0.002175): 0.002160, (30: 0.006521, 28: 0.000004): 0.006545, 8: 0.000004, 3: 0.002175, 2: 0.006529, 5: 0.002174, 19: 0.000004, 23: 0.000004, 24: 0.004355, 9: 0.000004, 29: 0.002174): 0.004510, ((18: 0.002157, 4: 0.015347): 0.006584, 6: 0.002159): 0.002029): 0.011061, 16: 0.011297): 0.061258, 26: 0.029823): 0.015008, 13: 0.026101): 0.007282, (10: 0.033620, 15: 0.002209): 0.000004): 0.004406, 7: 0.006602): 0.002126, (22: 0.020432, 1: 0.009131): 0.004178): 0.002167);
(C216: 0.004331, C113: 0.028705, C124: 0.024271, C72: 0.000004, ((((((((C7: 0.000004, C11: 0.000004, (C36: 0.002184, C130: 0.002175): 0.002160, (C85: 0.006521, C84: 0.000004): 0.006545, C78: 0.000004, C281: 0.002175, C60: 0.006529, C32: 0.002174, C131: 0.000004, C77: 0.000004, C136: 0.004355, C93: 0.000004, C79: 0.002174): 0.004510, ((C197: 0.002157, C82: 0.015347): 0.006584, C178: 0.002159): 0.002029): 0.011061, C173: 0.011297): 0.061258, C57: 0.029823): 0.015008, C53: 0.026101): 0.007282, (C66: 0.033620, C65: 0.002209): 0.000004): 0.004406, C71: 0.006602): 0.002126, (C242: 0.020432, C238: 0.009131): 0.004178): 0.002167);
Detailed output identifying parameters
kappa (ts/tv) = 6.35221
MLEs of dN/dS (w) for site classes (K=2)
p: 0.94953 0.05047
w: 0.04119 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.004 1222.1 265.9 0.0896 0.0005 0.0057 0.6 1.5
31..17 0.029 1222.1 265.9 0.0896 0.0034 0.0379 4.2 10.1
31..14 0.024 1222.1 265.9 0.0896 0.0029 0.0321 3.5 8.5
31..25 0.000 1222.1 265.9 0.0896 0.0000 0.0000 0.0 0.0
31..32 0.002 1222.1 265.9 0.0896 0.0003 0.0029 0.3 0.8
32..33 0.002 1222.1 265.9 0.0896 0.0003 0.0028 0.3 0.7
33..34 0.004 1222.1 265.9 0.0896 0.0005 0.0058 0.6 1.5
34..35 0.007 1222.1 265.9 0.0896 0.0009 0.0096 1.1 2.6
35..36 0.015 1222.1 265.9 0.0896 0.0018 0.0198 2.2 5.3
36..37 0.061 1222.1 265.9 0.0896 0.0073 0.0809 8.9 21.5
37..38 0.011 1222.1 265.9 0.0896 0.0013 0.0146 1.6 3.9
38..39 0.005 1222.1 265.9 0.0896 0.0005 0.0060 0.7 1.6
39..11 0.000 1222.1 265.9 0.0896 0.0000 0.0000 0.0 0.0
39..21 0.000 1222.1 265.9 0.0896 0.0000 0.0000 0.0 0.0
39..40 0.002 1222.1 265.9 0.0896 0.0003 0.0029 0.3 0.8
40..27 0.002 1222.1 265.9 0.0896 0.0003 0.0029 0.3 0.8
40..20 0.002 1222.1 265.9 0.0896 0.0003 0.0029 0.3 0.8
39..41 0.007 1222.1 265.9 0.0896 0.0008 0.0086 0.9 2.3
41..30 0.007 1222.1 265.9 0.0896 0.0008 0.0086 0.9 2.3
41..28 0.000 1222.1 265.9 0.0896 0.0000 0.0000 0.0 0.0
39..8 0.000 1222.1 265.9 0.0896 0.0000 0.0000 0.0 0.0
39..3 0.002 1222.1 265.9 0.0896 0.0003 0.0029 0.3 0.8
39..2 0.007 1222.1 265.9 0.0896 0.0008 0.0086 0.9 2.3
39..5 0.002 1222.1 265.9 0.0896 0.0003 0.0029 0.3 0.8
39..19 0.000 1222.1 265.9 0.0896 0.0000 0.0000 0.0 0.0
39..23 0.000 1222.1 265.9 0.0896 0.0000 0.0000 0.0 0.0
39..24 0.004 1222.1 265.9 0.0896 0.0005 0.0058 0.6 1.5
39..9 0.000 1222.1 265.9 0.0896 0.0000 0.0000 0.0 0.0
39..29 0.002 1222.1 265.9 0.0896 0.0003 0.0029 0.3 0.8
38..42 0.002 1222.1 265.9 0.0896 0.0002 0.0027 0.3 0.7
42..43 0.007 1222.1 265.9 0.0896 0.0008 0.0087 1.0 2.3
43..18 0.002 1222.1 265.9 0.0896 0.0003 0.0029 0.3 0.8
43..4 0.015 1222.1 265.9 0.0896 0.0018 0.0203 2.2 5.4
42..6 0.002 1222.1 265.9 0.0896 0.0003 0.0029 0.3 0.8
37..16 0.011 1222.1 265.9 0.0896 0.0013 0.0149 1.6 4.0
36..26 0.030 1222.1 265.9 0.0896 0.0035 0.0394 4.3 10.5
35..13 0.026 1222.1 265.9 0.0896 0.0031 0.0345 3.8 9.2
34..44 0.000 1222.1 265.9 0.0896 0.0000 0.0000 0.0 0.0
44..10 0.034 1222.1 265.9 0.0896 0.0040 0.0444 4.9 11.8
44..15 0.002 1222.1 265.9 0.0896 0.0003 0.0029 0.3 0.8
33..7 0.007 1222.1 265.9 0.0896 0.0008 0.0087 1.0 2.3
32..45 0.004 1222.1 265.9 0.0896 0.0005 0.0055 0.6 1.5
45..22 0.020 1222.1 265.9 0.0896 0.0024 0.0270 3.0 7.2
45..1 0.009 1222.1 265.9 0.0896 0.0011 0.0121 1.3 3.2
Time used: 3:53
Model 2: PositiveSelection (3 categories)
TREE # 1: (12, 17, 14, 25, ((((((((11, 21, (27, 20), (30, 28), 8, 3, 2, 5, 19, 23, 24, 9, 29), ((18, 4), 6)), 16), 26), 13), (10, 15)), 7), (22, 1))); MP score: 166
check convergence..
lnL(ntime: 44 np: 49): -2955.953678 +0.000000
31..12 31..17 31..14 31..25 31..32 32..33 33..34 34..35 35..36 36..37 37..38 38..39 39..11 39..21 39..40 40..27 40..20 39..41 41..30 41..28 39..8 39..3 39..2 39..5 39..19 39..23 39..24 39..9 39..29 38..42 42..43 43..18 43..4 42..6 37..16 36..26 35..13 34..44 44..10 44..15 33..7 32..45 45..22 45..1
0.004406 0.029258 0.024731 0.000004 0.002230 0.002102 0.004505 0.007160 0.015323 0.063244 0.011347 0.004616 0.000004 0.000004 0.002203 0.002213 0.002206 0.006718 0.006701 0.000004 0.000004 0.002232 0.006700 0.002231 0.000004 0.000004 0.004471 0.000004 0.002231 0.002093 0.006756 0.002208 0.015756 0.002215 0.011619 0.030771 0.026815 0.000004 0.034327 0.002253 0.006748 0.004296 0.020788 0.009314 6.482245 0.976808 0.000000 0.052915 2.330270
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.382824
(12: 0.004406, 17: 0.029258, 14: 0.024731, 25: 0.000004, ((((((((11: 0.000004, 21: 0.000004, (27: 0.002213, 20: 0.002206): 0.002203, (30: 0.006701, 28: 0.000004): 0.006718, 8: 0.000004, 3: 0.002232, 2: 0.006700, 5: 0.002231, 19: 0.000004, 23: 0.000004, 24: 0.004471, 9: 0.000004, 29: 0.002231): 0.004616, ((18: 0.002208, 4: 0.015756): 0.006756, 6: 0.002215): 0.002093): 0.011347, 16: 0.011619): 0.063244, 26: 0.030771): 0.015323, 13: 0.026815): 0.007160, (10: 0.034327, 15: 0.002253): 0.000004): 0.004505, 7: 0.006748): 0.002102, (22: 0.020788, 1: 0.009314): 0.004296): 0.002230);
(C216: 0.004406, C113: 0.029258, C124: 0.024731, C72: 0.000004, ((((((((C7: 0.000004, C11: 0.000004, (C36: 0.002213, C130: 0.002206): 0.002203, (C85: 0.006701, C84: 0.000004): 0.006718, C78: 0.000004, C281: 0.002232, C60: 0.006700, C32: 0.002231, C131: 0.000004, C77: 0.000004, C136: 0.004471, C93: 0.000004, C79: 0.002231): 0.004616, ((C197: 0.002208, C82: 0.015756): 0.006756, C178: 0.002215): 0.002093): 0.011347, C173: 0.011619): 0.063244, C57: 0.030771): 0.015323, C53: 0.026815): 0.007160, (C66: 0.034327, C65: 0.002253): 0.000004): 0.004505, C71: 0.006748): 0.002102, (C242: 0.020788, C238: 0.009314): 0.004296): 0.002230);
Detailed output identifying parameters
kappa (ts/tv) = 6.48225
MLEs of dN/dS (w) for site classes (K=3)
p: 0.97681 0.00000 0.02319
w: 0.05292 1.00000 2.33027
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.004 1221.6 266.4 0.1057 0.0006 0.0055 0.7 1.5
31..17 0.029 1221.6 266.4 0.1057 0.0039 0.0367 4.7 9.8
31..14 0.025 1221.6 266.4 0.1057 0.0033 0.0310 4.0 8.3
31..25 0.000 1221.6 266.4 0.1057 0.0000 0.0000 0.0 0.0
31..32 0.002 1221.6 266.4 0.1057 0.0003 0.0028 0.4 0.7
32..33 0.002 1221.6 266.4 0.1057 0.0003 0.0026 0.3 0.7
33..34 0.005 1221.6 266.4 0.1057 0.0006 0.0056 0.7 1.5
34..35 0.007 1221.6 266.4 0.1057 0.0009 0.0090 1.2 2.4
35..36 0.015 1221.6 266.4 0.1057 0.0020 0.0192 2.5 5.1
36..37 0.063 1221.6 266.4 0.1057 0.0084 0.0793 10.2 21.1
37..38 0.011 1221.6 266.4 0.1057 0.0015 0.0142 1.8 3.8
38..39 0.005 1221.6 266.4 0.1057 0.0006 0.0058 0.7 1.5
39..11 0.000 1221.6 266.4 0.1057 0.0000 0.0000 0.0 0.0
39..21 0.000 1221.6 266.4 0.1057 0.0000 0.0000 0.0 0.0
39..40 0.002 1221.6 266.4 0.1057 0.0003 0.0028 0.4 0.7
40..27 0.002 1221.6 266.4 0.1057 0.0003 0.0028 0.4 0.7
40..20 0.002 1221.6 266.4 0.1057 0.0003 0.0028 0.4 0.7
39..41 0.007 1221.6 266.4 0.1057 0.0009 0.0084 1.1 2.2
41..30 0.007 1221.6 266.4 0.1057 0.0009 0.0084 1.1 2.2
41..28 0.000 1221.6 266.4 0.1057 0.0000 0.0000 0.0 0.0
39..8 0.000 1221.6 266.4 0.1057 0.0000 0.0000 0.0 0.0
39..3 0.002 1221.6 266.4 0.1057 0.0003 0.0028 0.4 0.7
39..2 0.007 1221.6 266.4 0.1057 0.0009 0.0084 1.1 2.2
39..5 0.002 1221.6 266.4 0.1057 0.0003 0.0028 0.4 0.7
39..19 0.000 1221.6 266.4 0.1057 0.0000 0.0000 0.0 0.0
39..23 0.000 1221.6 266.4 0.1057 0.0000 0.0000 0.0 0.0
39..24 0.004 1221.6 266.4 0.1057 0.0006 0.0056 0.7 1.5
39..9 0.000 1221.6 266.4 0.1057 0.0000 0.0000 0.0 0.0
39..29 0.002 1221.6 266.4 0.1057 0.0003 0.0028 0.4 0.7
38..42 0.002 1221.6 266.4 0.1057 0.0003 0.0026 0.3 0.7
42..43 0.007 1221.6 266.4 0.1057 0.0009 0.0085 1.1 2.3
43..18 0.002 1221.6 266.4 0.1057 0.0003 0.0028 0.4 0.7
43..4 0.016 1221.6 266.4 0.1057 0.0021 0.0198 2.6 5.3
42..6 0.002 1221.6 266.4 0.1057 0.0003 0.0028 0.4 0.7
37..16 0.012 1221.6 266.4 0.1057 0.0015 0.0146 1.9 3.9
36..26 0.031 1221.6 266.4 0.1057 0.0041 0.0386 5.0 10.3
35..13 0.027 1221.6 266.4 0.1057 0.0036 0.0336 4.3 9.0
34..44 0.000 1221.6 266.4 0.1057 0.0000 0.0000 0.0 0.0
44..10 0.034 1221.6 266.4 0.1057 0.0046 0.0430 5.6 11.5
44..15 0.002 1221.6 266.4 0.1057 0.0003 0.0028 0.4 0.8
33..7 0.007 1221.6 266.4 0.1057 0.0009 0.0085 1.1 2.3
32..45 0.004 1221.6 266.4 0.1057 0.0006 0.0054 0.7 1.4
45..22 0.021 1221.6 266.4 0.1057 0.0028 0.0261 3.4 6.9
45..1 0.009 1221.6 266.4 0.1057 0.0012 0.0117 1.5 3.1
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C238)
Pr(w>1) post mean +- SE for w
41 A 0.957* 2.232
98 F 0.667 1.572
141 S 0.999** 2.329
164 P 0.941 2.195
211 I 0.989* 2.305
398 R 0.999** 2.328
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: C238)
Pr(w>1) post mean +- SE for w
41 A 0.706 1.819 +- 0.969
141 S 0.712 1.785 +- 0.836
164 P 0.673 1.762 +- 0.955
211 I 0.635 1.682 +- 0.819
398 R 0.814 1.966 +- 0.935
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: 0.571 0.304 0.092 0.023 0.006 0.002 0.001 0.000 0.000 0.000
Posterior for p0-p1 (see the ternary graph) (YWN2015, fig. 1)
0.000
0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 1.000
sum of density on p0-p1 = 1.000000
Time used: 12:31
Model 7: beta (10 categories)
TREE # 1: (12, 17, 14, 25, ((((((((11, 21, (27, 20), (30, 28), 8, 3, 2, 5, 19, 23, 24, 9, 29), ((18, 4), 6)), 16), 26), 13), (10, 15)), 7), (22, 1))); MP score: 166
lnL(ntime: 44 np: 47): -2959.581774 +0.000000
31..12 31..17 31..14 31..25 31..32 32..33 33..34 34..35 35..36 36..37 37..38 38..39 39..11 39..21 39..40 40..27 40..20 39..41 41..30 41..28 39..8 39..3 39..2 39..5 39..19 39..23 39..24 39..9 39..29 38..42 42..43 43..18 43..4 42..6 37..16 36..26 35..13 34..44 44..10 44..15 33..7 32..45 45..22 45..1
0.004335 0.028765 0.024334 0.000004 0.002160 0.002154 0.004399 0.007407 0.015007 0.061211 0.011107 0.004503 0.000004 0.000004 0.002161 0.002189 0.002179 0.006541 0.006511 0.000004 0.000004 0.002173 0.006526 0.002172 0.000004 0.000004 0.004350 0.000004 0.002172 0.002028 0.006591 0.002155 0.015363 0.002157 0.011236 0.029718 0.026022 0.000004 0.033623 0.002202 0.006589 0.004175 0.020435 0.009121 6.399676 0.078064 0.706572
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.373806
(12: 0.004335, 17: 0.028765, 14: 0.024334, 25: 0.000004, ((((((((11: 0.000004, 21: 0.000004, (27: 0.002189, 20: 0.002179): 0.002161, (30: 0.006511, 28: 0.000004): 0.006541, 8: 0.000004, 3: 0.002173, 2: 0.006526, 5: 0.002172, 19: 0.000004, 23: 0.000004, 24: 0.004350, 9: 0.000004, 29: 0.002172): 0.004503, ((18: 0.002155, 4: 0.015363): 0.006591, 6: 0.002157): 0.002028): 0.011107, 16: 0.011236): 0.061211, 26: 0.029718): 0.015007, 13: 0.026022): 0.007407, (10: 0.033623, 15: 0.002202): 0.000004): 0.004399, 7: 0.006589): 0.002154, (22: 0.020435, 1: 0.009121): 0.004175): 0.002160);
(C216: 0.004335, C113: 0.028765, C124: 0.024334, C72: 0.000004, ((((((((C7: 0.000004, C11: 0.000004, (C36: 0.002189, C130: 0.002179): 0.002161, (C85: 0.006511, C84: 0.000004): 0.006541, C78: 0.000004, C281: 0.002173, C60: 0.006526, C32: 0.002172, C131: 0.000004, C77: 0.000004, C136: 0.004350, C93: 0.000004, C79: 0.002172): 0.004503, ((C197: 0.002155, C82: 0.015363): 0.006591, C178: 0.002157): 0.002028): 0.011107, C173: 0.011236): 0.061211, C57: 0.029718): 0.015007, C53: 0.026022): 0.007407, (C66: 0.033623, C65: 0.002202): 0.000004): 0.004399, C71: 0.006589): 0.002154, (C242: 0.020435, C238: 0.009121): 0.004175): 0.002160);
Detailed output identifying parameters
kappa (ts/tv) = 6.39968
Parameters in M7 (beta):
p = 0.07806 q = 0.70657
MLEs of dN/dS (w) for site classes (K=10)
p: 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000
w: 0.00000 0.00000 0.00000 0.00000 0.00006 0.00085 0.00718 0.04441 0.21007 0.70986
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.004 1221.9 266.1 0.0972 0.0005 0.0056 0.7 1.5
31..17 0.029 1221.9 266.1 0.0972 0.0036 0.0371 4.4 9.9
31..14 0.024 1221.9 266.1 0.0972 0.0030 0.0314 3.7 8.3
31..25 0.000 1221.9 266.1 0.0972 0.0000 0.0000 0.0 0.0
31..32 0.002 1221.9 266.1 0.0972 0.0003 0.0028 0.3 0.7
32..33 0.002 1221.9 266.1 0.0972 0.0003 0.0028 0.3 0.7
33..34 0.004 1221.9 266.1 0.0972 0.0006 0.0057 0.7 1.5
34..35 0.007 1221.9 266.1 0.0972 0.0009 0.0095 1.1 2.5
35..36 0.015 1221.9 266.1 0.0972 0.0019 0.0193 2.3 5.1
36..37 0.061 1221.9 266.1 0.0972 0.0077 0.0789 9.4 21.0
37..38 0.011 1221.9 266.1 0.0972 0.0014 0.0143 1.7 3.8
38..39 0.005 1221.9 266.1 0.0972 0.0006 0.0058 0.7 1.5
39..11 0.000 1221.9 266.1 0.0972 0.0000 0.0000 0.0 0.0
39..21 0.000 1221.9 266.1 0.0972 0.0000 0.0000 0.0 0.0
39..40 0.002 1221.9 266.1 0.0972 0.0003 0.0028 0.3 0.7
40..27 0.002 1221.9 266.1 0.0972 0.0003 0.0028 0.3 0.8
40..20 0.002 1221.9 266.1 0.0972 0.0003 0.0028 0.3 0.7
39..41 0.007 1221.9 266.1 0.0972 0.0008 0.0084 1.0 2.2
41..30 0.007 1221.9 266.1 0.0972 0.0008 0.0084 1.0 2.2
41..28 0.000 1221.9 266.1 0.0972 0.0000 0.0000 0.0 0.0
39..8 0.000 1221.9 266.1 0.0972 0.0000 0.0000 0.0 0.0
39..3 0.002 1221.9 266.1 0.0972 0.0003 0.0028 0.3 0.7
39..2 0.007 1221.9 266.1 0.0972 0.0008 0.0084 1.0 2.2
39..5 0.002 1221.9 266.1 0.0972 0.0003 0.0028 0.3 0.7
39..19 0.000 1221.9 266.1 0.0972 0.0000 0.0000 0.0 0.0
39..23 0.000 1221.9 266.1 0.0972 0.0000 0.0000 0.0 0.0
39..24 0.004 1221.9 266.1 0.0972 0.0005 0.0056 0.7 1.5
39..9 0.000 1221.9 266.1 0.0972 0.0000 0.0000 0.0 0.0
39..29 0.002 1221.9 266.1 0.0972 0.0003 0.0028 0.3 0.7
38..42 0.002 1221.9 266.1 0.0972 0.0003 0.0026 0.3 0.7
42..43 0.007 1221.9 266.1 0.0972 0.0008 0.0085 1.0 2.3
43..18 0.002 1221.9 266.1 0.0972 0.0003 0.0028 0.3 0.7
43..4 0.015 1221.9 266.1 0.0972 0.0019 0.0198 2.4 5.3
42..6 0.002 1221.9 266.1 0.0972 0.0003 0.0028 0.3 0.7
37..16 0.011 1221.9 266.1 0.0972 0.0014 0.0145 1.7 3.9
36..26 0.030 1221.9 266.1 0.0972 0.0037 0.0383 4.6 10.2
35..13 0.026 1221.9 266.1 0.0972 0.0033 0.0335 4.0 8.9
34..44 0.000 1221.9 266.1 0.0972 0.0000 0.0000 0.0 0.0
44..10 0.034 1221.9 266.1 0.0972 0.0042 0.0433 5.1 11.5
44..15 0.002 1221.9 266.1 0.0972 0.0003 0.0028 0.3 0.8
33..7 0.007 1221.9 266.1 0.0972 0.0008 0.0085 1.0 2.3
32..45 0.004 1221.9 266.1 0.0972 0.0005 0.0054 0.6 1.4
45..22 0.020 1221.9 266.1 0.0972 0.0026 0.0263 3.1 7.0
45..1 0.009 1221.9 266.1 0.0972 0.0011 0.0118 1.4 3.1
Time used: 38:00
Model 8: beta&w>1 (11 categories)
TREE # 1: (12, 17, 14, 25, ((((((((11, 21, (27, 20), (30, 28), 8, 3, 2, 5, 19, 23, 24, 9, 29), ((18, 4), 6)), 16), 26), 13), (10, 15)), 7), (22, 1))); MP score: 166
lnL(ntime: 44 np: 49): -2955.996774 +0.000000
31..12 31..17 31..14 31..25 31..32 32..33 33..34 34..35 35..36 36..37 37..38 38..39 39..11 39..21 39..40 40..27 40..20 39..41 41..30 41..28 39..8 39..3 39..2 39..5 39..19 39..23 39..24 39..9 39..29 38..42 42..43 43..18 43..4 42..6 37..16 36..26 35..13 34..44 44..10 44..15 33..7 32..45 45..22 45..1
0.004406 0.029260 0.024733 0.000004 0.002228 0.002110 0.004503 0.007196 0.015308 0.063241 0.011350 0.004617 0.000004 0.000004 0.002204 0.002214 0.002207 0.006719 0.006701 0.000004 0.000004 0.002233 0.006701 0.002232 0.000004 0.000004 0.004472 0.000004 0.002232 0.002094 0.006758 0.002209 0.015758 0.002216 0.011619 0.030756 0.026784 0.000004 0.034328 0.002252 0.006744 0.004294 0.020788 0.009314 6.479333 0.977166 5.628999 99.000000 2.347231
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.382817
(12: 0.004406, 17: 0.029260, 14: 0.024733, 25: 0.000004, ((((((((11: 0.000004, 21: 0.000004, (27: 0.002214, 20: 0.002207): 0.002204, (30: 0.006701, 28: 0.000004): 0.006719, 8: 0.000004, 3: 0.002233, 2: 0.006701, 5: 0.002232, 19: 0.000004, 23: 0.000004, 24: 0.004472, 9: 0.000004, 29: 0.002232): 0.004617, ((18: 0.002209, 4: 0.015758): 0.006758, 6: 0.002216): 0.002094): 0.011350, 16: 0.011619): 0.063241, 26: 0.030756): 0.015308, 13: 0.026784): 0.007196, (10: 0.034328, 15: 0.002252): 0.000004): 0.004503, 7: 0.006744): 0.002110, (22: 0.020788, 1: 0.009314): 0.004294): 0.002228);
(C216: 0.004406, C113: 0.029260, C124: 0.024733, C72: 0.000004, ((((((((C7: 0.000004, C11: 0.000004, (C36: 0.002214, C130: 0.002207): 0.002204, (C85: 0.006701, C84: 0.000004): 0.006719, C78: 0.000004, C281: 0.002233, C60: 0.006701, C32: 0.002232, C131: 0.000004, C77: 0.000004, C136: 0.004472, C93: 0.000004, C79: 0.002232): 0.004617, ((C197: 0.002209, C82: 0.015758): 0.006758, C178: 0.002216): 0.002094): 0.011350, C173: 0.011619): 0.063241, C57: 0.030756): 0.015308, C53: 0.026784): 0.007196, (C66: 0.034328, C65: 0.002252): 0.000004): 0.004503, C71: 0.006744): 0.002110, (C242: 0.020788, C238: 0.009314): 0.004294): 0.002228);
Detailed output identifying parameters
kappa (ts/tv) = 6.47933
Parameters in M8 (beta&w>1):
p0 = 0.97717 p = 5.62900 q = 99.00000
(p1 = 0.02283) w = 2.34723
MLEs of dN/dS (w) for site classes (K=11)
p: 0.09772 0.09772 0.09772 0.09772 0.09772 0.09772 0.09772 0.09772 0.09772 0.09772 0.02283
w: 0.02313 0.03175 0.03779 0.04313 0.04832 0.05371 0.05967 0.06676 0.07633 0.09413 2.34723
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.004 1221.6 266.4 0.1058 0.0006 0.0055 0.7 1.5
31..17 0.029 1221.6 266.4 0.1058 0.0039 0.0367 4.7 9.8
31..14 0.025 1221.6 266.4 0.1058 0.0033 0.0310 4.0 8.3
31..25 0.000 1221.6 266.4 0.1058 0.0000 0.0000 0.0 0.0
31..32 0.002 1221.6 266.4 0.1058 0.0003 0.0028 0.4 0.7
32..33 0.002 1221.6 266.4 0.1058 0.0003 0.0026 0.3 0.7
33..34 0.005 1221.6 266.4 0.1058 0.0006 0.0056 0.7 1.5
34..35 0.007 1221.6 266.4 0.1058 0.0010 0.0090 1.2 2.4
35..36 0.015 1221.6 266.4 0.1058 0.0020 0.0192 2.5 5.1
36..37 0.063 1221.6 266.4 0.1058 0.0084 0.0793 10.3 21.1
37..38 0.011 1221.6 266.4 0.1058 0.0015 0.0142 1.8 3.8
38..39 0.005 1221.6 266.4 0.1058 0.0006 0.0058 0.7 1.5
39..11 0.000 1221.6 266.4 0.1058 0.0000 0.0000 0.0 0.0
39..21 0.000 1221.6 266.4 0.1058 0.0000 0.0000 0.0 0.0
39..40 0.002 1221.6 266.4 0.1058 0.0003 0.0028 0.4 0.7
40..27 0.002 1221.6 266.4 0.1058 0.0003 0.0028 0.4 0.7
40..20 0.002 1221.6 266.4 0.1058 0.0003 0.0028 0.4 0.7
39..41 0.007 1221.6 266.4 0.1058 0.0009 0.0084 1.1 2.2
41..30 0.007 1221.6 266.4 0.1058 0.0009 0.0084 1.1 2.2
41..28 0.000 1221.6 266.4 0.1058 0.0000 0.0000 0.0 0.0
39..8 0.000 1221.6 266.4 0.1058 0.0000 0.0000 0.0 0.0
39..3 0.002 1221.6 266.4 0.1058 0.0003 0.0028 0.4 0.7
39..2 0.007 1221.6 266.4 0.1058 0.0009 0.0084 1.1 2.2
39..5 0.002 1221.6 266.4 0.1058 0.0003 0.0028 0.4 0.7
39..19 0.000 1221.6 266.4 0.1058 0.0000 0.0000 0.0 0.0
39..23 0.000 1221.6 266.4 0.1058 0.0000 0.0000 0.0 0.0
39..24 0.004 1221.6 266.4 0.1058 0.0006 0.0056 0.7 1.5
39..9 0.000 1221.6 266.4 0.1058 0.0000 0.0000 0.0 0.0
39..29 0.002 1221.6 266.4 0.1058 0.0003 0.0028 0.4 0.7
38..42 0.002 1221.6 266.4 0.1058 0.0003 0.0026 0.3 0.7
42..43 0.007 1221.6 266.4 0.1058 0.0009 0.0085 1.1 2.3
43..18 0.002 1221.6 266.4 0.1058 0.0003 0.0028 0.4 0.7
43..4 0.016 1221.6 266.4 0.1058 0.0021 0.0198 2.6 5.3
42..6 0.002 1221.6 266.4 0.1058 0.0003 0.0028 0.4 0.7
37..16 0.012 1221.6 266.4 0.1058 0.0015 0.0146 1.9 3.9
36..26 0.031 1221.6 266.4 0.1058 0.0041 0.0386 5.0 10.3
35..13 0.027 1221.6 266.4 0.1058 0.0036 0.0336 4.3 8.9
34..44 0.000 1221.6 266.4 0.1058 0.0000 0.0000 0.0 0.0
44..10 0.034 1221.6 266.4 0.1058 0.0046 0.0430 5.6 11.5
44..15 0.002 1221.6 266.4 0.1058 0.0003 0.0028 0.4 0.8
33..7 0.007 1221.6 266.4 0.1058 0.0009 0.0085 1.1 2.3
32..45 0.004 1221.6 266.4 0.1058 0.0006 0.0054 0.7 1.4
45..22 0.021 1221.6 266.4 0.1058 0.0028 0.0261 3.4 6.9
45..1 0.009 1221.6 266.4 0.1058 0.0012 0.0117 1.5 3.1
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C238)
Pr(w>1) post mean +- SE for w
41 A 0.950* 2.233
98 F 0.631 1.506
141 S 0.999** 2.345
164 P 0.931 2.191
211 I 0.984* 2.310
398 R 0.998** 2.343
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: C238)
Pr(w>1) post mean +- SE for w
41 A 0.815 1.538 +- 0.714
98 F 0.532 1.100 +- 0.753
141 S 0.909 1.657 +- 0.598
164 P 0.787 1.499 +- 0.730
211 I 0.825 1.549 +- 0.660
398 R 0.932 1.688 +- 0.595
The grid
p0: 0.050 0.150 0.250 0.350 0.450 0.550 0.650 0.750 0.850 0.950
p : 0.100 0.300 0.500 0.700 0.900 1.100 1.300 1.500 1.700 1.900
q : 0.100 0.300 0.500 0.700 0.900 1.100 1.300 1.500 1.700 1.900
ws: 1.500 2.500 3.500 4.500 5.500 6.500 7.500 8.500 9.500 10.500
Posterior on the grid
p0: 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 1.000
p : 1.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
q : 0.000 0.000 0.000 0.000 0.000 0.003 0.021 0.092 0.269 0.615
ws: 0.784 0.184 0.028 0.004 0.001 0.000 0.000 0.000 0.000 0.000
Time used: 1:28:05
Model 1: NearlyNeutral -2957.568934
Model 2: PositiveSelection -2955.953678
Model 7: beta -2959.581774
Model 8: beta&w>1 -2955.996774
Model 2 vs 1 3.230512
Model 8 vs 7 7.170000
Additional information for M7 vs M8:
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C238)
Pr(w>1) post mean +- SE for w
41 A 0.950* 2.233
98 F 0.631 1.506
141 S 0.999** 2.345
164 P 0.931 2.191
211 I 0.984* 2.310
398 R 0.998** 2.343
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: C238)
Pr(w>1) post mean +- SE for w
41 A 0.815 1.538 +- 0.714
98 F 0.532 1.100 +- 0.753
141 S 0.909 1.657 +- 0.598
164 P 0.787 1.499 +- 0.730
211 I 0.825 1.549 +- 0.660
398 R 0.932 1.688 +- 0.595
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
