--- 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 -3753.67 -3787.00
2 -3755.27 -3790.99
--------------------------------------
TOTAL -3754.18 -3790.31
--------------------------------------
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} 0.181126 0.000354 0.144375 0.217206 0.180296 1259.91 1318.79 1.000
r(A<->C){all} 0.049774 0.000337 0.017584 0.086627 0.047594 725.07 860.15 1.001
r(A<->G){all} 0.202151 0.001173 0.138073 0.268161 0.199976 699.22 753.39 1.000
r(A<->T){all} 0.046335 0.000148 0.022206 0.069364 0.045577 993.11 1069.86 1.001
r(C<->G){all} 0.025039 0.000208 0.002044 0.053349 0.022332 558.05 735.53 1.001
r(C<->T){all} 0.607032 0.001838 0.517414 0.685254 0.607892 514.38 580.40 1.000
r(G<->T){all} 0.069669 0.000273 0.039676 0.104411 0.068402 693.29 859.61 1.000
pi(A){all} 0.289822 0.000115 0.268841 0.310410 0.289719 1047.54 1126.26 1.001
pi(C){all} 0.160126 0.000071 0.143867 0.176689 0.160078 1060.69 1133.02 1.000
pi(G){all} 0.214121 0.000092 0.196906 0.234182 0.213971 1057.84 1084.80 1.000
pi(T){all} 0.335932 0.000124 0.314484 0.356962 0.335826 1000.54 1067.76 1.000
alpha{1,2} 0.063229 0.001359 0.000531 0.123981 0.062800 992.62 1051.92 1.002
alpha{3} 4.543314 2.720973 1.791650 7.930719 4.273381 1374.80 1378.47 1.000
pinvar{all} 0.620657 0.002045 0.534610 0.709132 0.623213 1016.92 1141.24 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 -3546.872280
Model 2: PositiveSelection -3546.872280
Model 7: beta -3546.365601
Model 8: beta&w>1 -3546.365769
Model 2 vs 1 0
Model 8 vs 7 -.000336
-- Starting log on Fri Nov 18 14:39:43 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp10_VIPR_ALG4_QEY10630_1_16091_17899_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Fri Nov 18 14:45:39 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp10_VIPR_ALG4_QEY10630_1_16091_17899_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Sat Nov 19 01:18:08 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp10_VIPR_ALG4_QEY10630_1_16091_17899_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/gapped_alignment/codeml,DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp10_VIPR_ALG4_QEY10630_1_16091_17899_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 1809 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C216
Taxon 2 -> C298
Taxon 3 -> C85
Taxon 4 -> C161
Taxon 5 -> C237
Taxon 6 -> C269
Taxon 7 -> C47
Taxon 8 -> C19
Taxon 9 -> C22
Taxon 10 -> C61
Taxon 11 -> C4
Taxon 12 -> C29
Taxon 13 -> C182
Taxon 14 -> C251
Taxon 15 -> C192
Taxon 16 -> C235
Taxon 17 -> C66
Taxon 18 -> C279
Taxon 19 -> C94
Taxon 20 -> C122
Taxon 21 -> C64
Taxon 22 -> C30
Taxon 23 -> C130
Taxon 24 -> C71
Taxon 25 -> C8
Taxon 26 -> C135
Taxon 27 -> C134
Taxon 28 -> C45
Taxon 29 -> C83
Taxon 30 -> C142
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1668820691
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) = 1298349256
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 = 8590269834
Seed = 1583093697
Swapseed = 1668820691
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 16 unique site patterns
Division 2 has 12 unique site patterns
Division 3 has 93 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 -- -6853.746107 -- 82.122948
Chain 2 -- -6967.164706 -- 82.122948
Chain 3 -- -7130.345601 -- 82.122948
Chain 4 -- -6593.570131 -- 82.122948
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -6786.736150 -- 82.122948
Chain 2 -- -6281.088045 -- 82.122948
Chain 3 -- -6644.433100 -- 82.122948
Chain 4 -- -6894.342947 -- 82.122948
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-6853.746] (-6967.165) (-7130.346) (-6593.570) * [-6786.736] (-6281.088) (-6644.433) (-6894.343)
1000 -- (-3995.869) [-3928.588] (-3980.055) (-3936.724) * [-3953.931] (-4132.629) (-4048.572) (-3968.355) -- 0:16:39
2000 -- (-3859.736) [-3834.987] (-3850.400) (-3836.775) * [-3811.822] (-3827.330) (-3843.200) (-3861.480) -- 0:16:38
3000 -- [-3818.693] (-3796.992) (-3818.931) (-3810.717) * (-3788.921) [-3774.768] (-3812.711) (-3820.589) -- 0:16:37
4000 -- (-3784.811) (-3783.683) (-3804.733) [-3788.812] * (-3776.148) [-3772.651] (-3789.915) (-3820.399) -- 0:12:27
5000 -- (-3778.881) [-3769.005] (-3793.710) (-3771.175) * (-3775.317) [-3766.465] (-3787.102) (-3812.874) -- 0:13:16
Average standard deviation of split frequencies: 0.089647
6000 -- [-3771.662] (-3801.008) (-3794.985) (-3778.509) * [-3772.631] (-3776.247) (-3783.284) (-3785.719) -- 0:13:48
7000 -- (-3768.927) (-3789.983) (-3788.359) [-3769.142] * (-3778.010) (-3788.002) (-3786.290) [-3781.285] -- 0:14:11
8000 -- [-3765.061] (-3783.856) (-3784.295) (-3781.225) * [-3774.493] (-3769.494) (-3781.977) (-3770.097) -- 0:14:28
9000 -- [-3763.057] (-3771.888) (-3792.728) (-3769.227) * (-3770.172) (-3777.951) (-3765.592) [-3764.808] -- 0:14:40
10000 -- (-3769.973) (-3770.628) (-3790.567) [-3767.267] * [-3776.004] (-3772.293) (-3773.846) (-3782.123) -- 0:14:51
Average standard deviation of split frequencies: 0.072429
11000 -- (-3768.751) (-3790.825) (-3773.498) [-3761.583] * (-3771.983) (-3789.640) (-3771.603) [-3764.030] -- 0:13:29
12000 -- (-3779.209) (-3785.142) (-3765.154) [-3774.447] * (-3791.270) (-3782.767) (-3772.629) [-3772.069] -- 0:13:43
13000 -- (-3768.764) (-3777.921) [-3767.449] (-3781.593) * (-3782.552) [-3760.847] (-3779.699) (-3796.914) -- 0:13:55
14000 -- (-3773.465) [-3761.718] (-3780.037) (-3764.813) * (-3763.120) (-3772.440) [-3779.482] (-3771.567) -- 0:14:05
15000 -- (-3773.970) [-3763.930] (-3779.863) (-3780.230) * (-3773.928) (-3781.982) (-3774.677) [-3763.349] -- 0:14:13
Average standard deviation of split frequencies: 0.060476
16000 -- (-3764.973) [-3773.621] (-3791.206) (-3777.768) * (-3784.355) (-3773.391) (-3767.392) [-3759.363] -- 0:14:21
17000 -- (-3768.928) (-3763.430) (-3772.490) [-3773.263] * (-3781.011) (-3769.753) (-3776.658) [-3775.750] -- 0:14:27
18000 -- (-3799.894) [-3759.439] (-3780.327) (-3780.386) * (-3773.660) [-3773.550] (-3770.961) (-3762.019) -- 0:13:38
19000 -- (-3777.520) [-3758.739] (-3787.396) (-3780.825) * (-3765.289) (-3770.234) (-3774.751) [-3765.802] -- 0:13:46
20000 -- (-3776.236) [-3762.507] (-3784.837) (-3776.470) * [-3770.138] (-3767.238) (-3785.813) (-3765.585) -- 0:13:53
Average standard deviation of split frequencies: 0.055459
21000 -- (-3776.457) (-3786.300) [-3764.076] (-3766.920) * (-3773.980) (-3782.070) (-3785.696) [-3770.823] -- 0:13:59
22000 -- (-3803.860) (-3763.593) [-3772.794] (-3771.957) * (-3780.950) (-3765.349) (-3788.160) [-3761.645] -- 0:14:04
23000 -- (-3793.126) (-3774.624) (-3763.099) [-3762.521] * [-3771.026] (-3770.145) (-3755.927) (-3768.075) -- 0:14:09
24000 -- [-3777.083] (-3786.489) (-3773.055) (-3782.781) * (-3775.439) (-3793.316) (-3770.587) [-3769.497] -- 0:13:33
25000 -- (-3761.329) (-3774.967) [-3771.573] (-3780.201) * (-3775.957) [-3759.848] (-3766.319) (-3784.230) -- 0:13:39
Average standard deviation of split frequencies: 0.040356
26000 -- (-3769.226) [-3769.404] (-3772.482) (-3782.456) * (-3815.013) [-3770.278] (-3770.127) (-3771.259) -- 0:13:44
27000 -- (-3778.553) [-3765.690] (-3781.153) (-3789.611) * (-3791.465) (-3784.371) (-3772.601) [-3766.584] -- 0:13:48
28000 -- (-3778.478) [-3768.180] (-3768.812) (-3796.445) * (-3783.515) (-3779.467) [-3772.072] (-3771.878) -- 0:13:53
29000 -- (-3769.794) (-3770.698) (-3775.571) [-3767.967] * (-3776.847) (-3760.398) (-3778.228) [-3767.165] -- 0:13:57
30000 -- (-3765.188) (-3791.530) [-3759.291] (-3781.396) * (-3794.516) [-3766.189] (-3785.532) (-3784.366) -- 0:14:00
Average standard deviation of split frequencies: 0.042610
31000 -- [-3772.210] (-3800.748) (-3781.640) (-3785.741) * (-3771.577) [-3760.273] (-3783.336) (-3789.103) -- 0:13:32
32000 -- [-3765.173] (-3791.035) (-3767.280) (-3795.085) * (-3765.423) [-3770.746] (-3782.750) (-3776.856) -- 0:13:36
33000 -- (-3790.633) (-3784.585) [-3766.089] (-3784.558) * (-3787.589) (-3772.400) [-3765.371] (-3775.542) -- 0:13:40
34000 -- (-3798.572) (-3772.620) [-3767.857] (-3764.238) * (-3779.455) (-3781.339) (-3801.377) [-3772.942] -- 0:13:43
35000 -- [-3776.650] (-3763.792) (-3781.689) (-3795.823) * (-3762.241) [-3766.839] (-3777.397) (-3806.807) -- 0:13:47
Average standard deviation of split frequencies: 0.041426
36000 -- [-3764.448] (-3781.772) (-3799.540) (-3781.124) * (-3775.092) (-3776.189) [-3755.092] (-3782.490) -- 0:13:50
37000 -- (-3765.371) (-3788.359) (-3784.940) [-3763.880] * [-3760.250] (-3776.892) (-3772.584) (-3766.896) -- 0:13:52
38000 -- (-3774.465) (-3773.765) [-3773.614] (-3776.512) * [-3761.515] (-3763.675) (-3792.109) (-3773.364) -- 0:13:55
39000 -- (-3768.467) (-3776.780) [-3759.338] (-3769.708) * (-3771.865) [-3764.634] (-3774.382) (-3772.033) -- 0:13:33
40000 -- (-3770.329) (-3789.049) [-3784.858] (-3774.602) * [-3777.587] (-3772.037) (-3783.200) (-3768.557) -- 0:13:36
Average standard deviation of split frequencies: 0.042431
41000 -- [-3771.619] (-3769.024) (-3785.591) (-3775.269) * [-3772.682] (-3779.401) (-3775.906) (-3789.848) -- 0:13:38
42000 -- (-3783.735) (-3772.108) [-3756.566] (-3776.557) * [-3786.831] (-3771.551) (-3763.208) (-3779.928) -- 0:13:41
43000 -- (-3769.930) (-3779.160) (-3767.511) [-3773.488] * (-3784.077) (-3783.018) (-3788.877) [-3771.074] -- 0:13:43
44000 -- (-3781.075) (-3787.697) [-3765.086] (-3790.800) * [-3771.172] (-3777.457) (-3793.462) (-3776.825) -- 0:13:45
45000 -- (-3781.964) (-3762.612) (-3790.002) [-3769.234] * (-3776.089) [-3760.620] (-3782.272) (-3784.844) -- 0:13:26
Average standard deviation of split frequencies: 0.036334
46000 -- (-3786.116) [-3771.150] (-3792.936) (-3767.255) * (-3766.038) [-3759.412] (-3766.840) (-3793.823) -- 0:13:28
47000 -- [-3767.675] (-3783.347) (-3776.427) (-3787.950) * [-3774.314] (-3780.549) (-3778.850) (-3795.375) -- 0:13:31
48000 -- [-3768.624] (-3784.876) (-3778.508) (-3781.313) * (-3778.949) (-3774.988) (-3778.620) [-3758.431] -- 0:13:33
49000 -- [-3770.288] (-3786.984) (-3782.743) (-3766.456) * (-3789.272) [-3769.214] (-3773.888) (-3771.004) -- 0:13:35
50000 -- (-3775.883) [-3773.348] (-3797.330) (-3791.051) * (-3767.312) (-3768.503) (-3782.242) [-3772.788] -- 0:13:37
Average standard deviation of split frequencies: 0.028614
51000 -- (-3772.890) (-3791.425) (-3781.985) [-3766.869] * [-3772.696] (-3770.381) (-3791.070) (-3777.253) -- 0:13:38
52000 -- (-3765.434) (-3785.898) [-3771.786] (-3777.066) * [-3788.626] (-3762.435) (-3796.736) (-3784.368) -- 0:13:22
53000 -- (-3763.739) [-3766.982] (-3781.993) (-3767.485) * [-3761.512] (-3792.557) (-3777.302) (-3774.530) -- 0:13:24
54000 -- [-3757.955] (-3763.622) (-3788.602) (-3774.754) * [-3762.282] (-3796.458) (-3795.947) (-3768.511) -- 0:13:25
55000 -- [-3759.107] (-3768.960) (-3788.994) (-3785.740) * (-3768.553) (-3779.098) (-3795.078) [-3769.482] -- 0:13:27
Average standard deviation of split frequencies: 0.029301
56000 -- (-3781.387) [-3765.119] (-3783.711) (-3778.602) * (-3775.989) [-3775.030] (-3779.395) (-3800.149) -- 0:13:29
57000 -- (-3775.572) [-3773.613] (-3762.521) (-3780.089) * (-3778.373) (-3780.603) [-3765.158] (-3772.339) -- 0:13:30
58000 -- (-3782.316) (-3779.712) [-3758.797] (-3773.425) * (-3770.471) [-3770.496] (-3783.281) (-3803.161) -- 0:13:15
59000 -- (-3787.475) (-3792.637) (-3769.236) [-3787.814] * [-3761.589] (-3764.637) (-3775.960) (-3783.325) -- 0:13:17
60000 -- [-3767.716] (-3777.116) (-3769.971) (-3781.031) * (-3765.142) (-3776.146) (-3765.441) [-3764.421] -- 0:13:19
Average standard deviation of split frequencies: 0.030625
61000 -- (-3801.187) (-3778.918) [-3761.919] (-3774.399) * [-3762.424] (-3767.985) (-3760.432) (-3770.185) -- 0:13:20
62000 -- (-3765.736) [-3770.173] (-3770.650) (-3778.139) * [-3765.259] (-3778.218) (-3783.347) (-3781.743) -- 0:13:21
63000 -- [-3773.074] (-3771.790) (-3772.847) (-3783.479) * (-3780.232) (-3767.759) [-3761.093] (-3768.130) -- 0:13:23
64000 -- (-3788.127) (-3768.676) [-3775.415] (-3770.700) * [-3770.333] (-3781.377) (-3769.336) (-3771.750) -- 0:13:24
65000 -- (-3777.338) [-3771.699] (-3770.807) (-3797.232) * (-3780.879) (-3772.776) (-3777.350) [-3773.227] -- 0:13:11
Average standard deviation of split frequencies: 0.029970
66000 -- (-3779.399) (-3783.534) [-3754.601] (-3773.153) * (-3769.394) (-3759.736) (-3773.424) [-3785.023] -- 0:13:12
67000 -- (-3782.760) (-3767.969) (-3780.724) [-3768.189] * (-3768.802) (-3764.276) [-3769.677] (-3776.442) -- 0:13:13
68000 -- [-3763.558] (-3775.837) (-3783.723) (-3770.164) * [-3759.119] (-3770.492) (-3764.841) (-3781.324) -- 0:13:14
69000 -- (-3784.483) (-3776.502) (-3788.234) [-3777.715] * [-3768.179] (-3782.197) (-3768.590) (-3774.450) -- 0:13:16
70000 -- [-3769.184] (-3794.462) (-3787.381) (-3761.706) * (-3774.283) (-3766.133) (-3784.071) [-3776.575] -- 0:13:17
Average standard deviation of split frequencies: 0.027084
71000 -- [-3782.503] (-3782.971) (-3773.708) (-3766.835) * [-3770.253] (-3774.821) (-3788.894) (-3764.564) -- 0:13:18
72000 -- (-3766.963) (-3780.709) [-3774.350] (-3786.139) * (-3778.199) (-3792.237) [-3763.504] (-3776.813) -- 0:13:06
73000 -- (-3761.549) [-3765.676] (-3780.826) (-3774.112) * (-3787.269) (-3779.368) (-3768.345) [-3768.983] -- 0:13:07
74000 -- [-3762.623] (-3775.169) (-3784.221) (-3773.638) * [-3790.435] (-3787.557) (-3769.992) (-3783.669) -- 0:13:08
75000 -- (-3770.980) (-3776.376) [-3763.364] (-3769.951) * (-3778.818) (-3776.080) [-3778.451] (-3792.763) -- 0:13:09
Average standard deviation of split frequencies: 0.027077
76000 -- (-3785.216) [-3759.752] (-3776.362) (-3782.588) * (-3787.527) (-3774.586) [-3765.157] (-3789.951) -- 0:13:10
77000 -- (-3768.535) [-3754.407] (-3766.686) (-3769.715) * (-3793.067) [-3768.841] (-3770.107) (-3775.227) -- 0:13:11
78000 -- [-3764.953] (-3772.036) (-3781.063) (-3779.342) * (-3784.040) [-3769.367] (-3779.422) (-3775.997) -- 0:13:11
79000 -- [-3757.696] (-3773.368) (-3777.021) (-3785.684) * (-3788.829) (-3763.172) (-3773.454) [-3771.372] -- 0:13:01
80000 -- (-3758.775) [-3764.835] (-3782.315) (-3788.946) * (-3769.045) [-3763.353] (-3796.259) (-3777.780) -- 0:13:02
Average standard deviation of split frequencies: 0.024210
81000 -- (-3768.239) (-3793.810) [-3766.114] (-3779.655) * (-3795.350) (-3774.917) (-3789.083) [-3775.563] -- 0:13:02
82000 -- (-3764.051) [-3759.110] (-3793.145) (-3779.478) * (-3783.168) [-3768.663] (-3770.770) (-3788.622) -- 0:13:03
83000 -- (-3766.830) [-3768.452] (-3774.707) (-3760.195) * (-3757.410) (-3785.081) [-3780.415] (-3770.200) -- 0:13:04
84000 -- [-3768.861] (-3772.477) (-3788.809) (-3779.105) * (-3769.504) (-3775.908) (-3770.731) [-3773.553] -- 0:13:05
85000 -- [-3762.872] (-3769.409) (-3791.470) (-3796.843) * (-3772.781) (-3773.592) (-3775.756) [-3765.025] -- 0:12:55
Average standard deviation of split frequencies: 0.023241
86000 -- [-3770.696] (-3761.061) (-3772.617) (-3780.233) * (-3788.376) [-3770.166] (-3792.374) (-3778.832) -- 0:12:55
87000 -- (-3791.275) (-3765.147) (-3759.580) [-3771.533] * (-3768.538) [-3769.776] (-3787.367) (-3781.783) -- 0:12:56
88000 -- (-3772.943) (-3765.062) (-3783.015) [-3763.264] * (-3781.626) (-3766.127) (-3772.586) [-3769.146] -- 0:12:57
89000 -- (-3787.383) [-3767.999] (-3793.806) (-3767.640) * (-3769.738) (-3775.187) (-3775.834) [-3758.907] -- 0:12:57
90000 -- (-3774.913) (-3774.381) (-3802.095) [-3770.215] * (-3771.119) (-3778.252) [-3764.798] (-3781.706) -- 0:12:58
Average standard deviation of split frequencies: 0.022565
91000 -- [-3765.678] (-3764.721) (-3788.205) (-3782.689) * (-3795.217) (-3776.655) [-3760.454] (-3784.763) -- 0:12:59
92000 -- (-3764.062) (-3779.551) [-3760.263] (-3781.530) * (-3792.693) (-3770.857) (-3768.674) [-3767.226] -- 0:12:49
93000 -- [-3765.551] (-3767.586) (-3779.000) (-3785.568) * (-3783.129) (-3793.840) (-3765.018) [-3774.044] -- 0:12:50
94000 -- [-3764.699] (-3774.243) (-3769.680) (-3774.996) * (-3780.216) (-3793.287) (-3773.468) [-3771.211] -- 0:12:51
95000 -- [-3773.256] (-3794.255) (-3761.318) (-3762.617) * (-3786.873) [-3772.801] (-3772.314) (-3765.223) -- 0:12:51
Average standard deviation of split frequencies: 0.022849
96000 -- (-3775.453) (-3782.950) (-3784.689) [-3791.355] * (-3773.642) [-3747.900] (-3768.567) (-3795.785) -- 0:12:52
97000 -- (-3771.331) (-3764.343) [-3783.457] (-3798.460) * (-3771.904) (-3773.297) [-3769.004] (-3788.306) -- 0:12:52
98000 -- [-3767.140] (-3775.497) (-3797.842) (-3769.436) * (-3771.390) [-3765.813] (-3765.112) (-3792.750) -- 0:12:53
99000 -- [-3767.875] (-3779.600) (-3759.983) (-3773.037) * (-3772.070) (-3769.118) (-3781.301) [-3776.392] -- 0:12:44
100000 -- (-3777.989) [-3768.297] (-3789.583) (-3776.835) * [-3772.272] (-3764.053) (-3783.993) (-3818.739) -- 0:12:45
Average standard deviation of split frequencies: 0.020585
101000 -- [-3773.558] (-3778.941) (-3787.428) (-3777.209) * (-3760.544) [-3752.676] (-3787.475) (-3807.252) -- 0:12:45
102000 -- (-3779.137) (-3784.619) [-3769.234] (-3769.681) * (-3774.424) [-3771.823] (-3779.101) (-3779.864) -- 0:12:45
103000 -- (-3775.578) (-3781.806) (-3774.042) [-3771.012] * (-3778.999) (-3782.385) [-3786.126] (-3772.613) -- 0:12:46
104000 -- (-3770.791) (-3775.285) (-3762.569) [-3761.601] * (-3763.451) (-3775.581) (-3779.858) [-3770.858] -- 0:12:46
105000 -- (-3777.579) (-3780.455) [-3761.953] (-3770.567) * (-3774.345) (-3779.981) (-3777.461) [-3761.960] -- 0:12:47
Average standard deviation of split frequencies: 0.021538
106000 -- [-3770.786] (-3777.092) (-3784.696) (-3771.394) * (-3786.873) (-3773.273) [-3766.718] (-3763.575) -- 0:12:39
107000 -- (-3778.257) (-3777.106) (-3769.745) [-3765.429] * (-3778.890) (-3775.267) [-3763.057] (-3778.785) -- 0:12:39
108000 -- [-3762.684] (-3778.583) (-3775.514) (-3767.787) * (-3787.622) [-3773.231] (-3767.275) (-3774.307) -- 0:12:39
109000 -- [-3777.452] (-3771.877) (-3787.879) (-3794.377) * (-3782.201) (-3772.308) (-3780.642) [-3772.908] -- 0:12:40
110000 -- [-3762.569] (-3770.592) (-3776.993) (-3776.117) * (-3777.165) [-3752.285] (-3770.800) (-3767.813) -- 0:12:40
Average standard deviation of split frequencies: 0.020617
111000 -- (-3766.259) (-3793.293) (-3781.263) [-3767.819] * (-3774.867) (-3773.763) (-3785.078) [-3768.126] -- 0:12:40
112000 -- (-3771.530) (-3771.562) [-3769.445] (-3783.013) * (-3791.481) (-3776.317) (-3786.882) [-3779.038] -- 0:12:33
113000 -- (-3784.133) [-3754.111] (-3784.705) (-3784.779) * (-3768.966) [-3761.308] (-3782.524) (-3766.391) -- 0:12:33
114000 -- (-3775.106) (-3784.198) [-3776.897] (-3790.039) * (-3770.912) [-3772.072] (-3784.243) (-3782.488) -- 0:12:33
115000 -- (-3771.788) (-3777.981) (-3769.324) [-3770.856] * (-3787.100) (-3773.365) [-3767.868] (-3779.871) -- 0:12:34
Average standard deviation of split frequencies: 0.021376
116000 -- [-3767.303] (-3778.565) (-3789.538) (-3778.335) * (-3774.778) (-3787.283) [-3774.250] (-3770.717) -- 0:12:34
117000 -- (-3805.723) (-3771.080) [-3769.506] (-3783.946) * (-3776.007) [-3766.426] (-3774.597) (-3755.563) -- 0:12:34
118000 -- [-3785.020] (-3769.600) (-3756.293) (-3769.410) * (-3774.036) (-3782.494) [-3757.621] (-3771.454) -- 0:12:34
119000 -- (-3781.382) (-3784.261) [-3758.933] (-3792.769) * (-3795.877) (-3799.752) [-3762.378] (-3775.159) -- 0:12:35
120000 -- (-3786.877) (-3775.480) [-3752.694] (-3790.255) * [-3766.641] (-3783.433) (-3780.014) (-3769.903) -- 0:12:28
Average standard deviation of split frequencies: 0.022346
121000 -- (-3769.728) (-3771.459) [-3767.394] (-3796.851) * (-3777.738) (-3793.117) [-3765.762] (-3769.043) -- 0:12:28
122000 -- [-3771.064] (-3768.386) (-3775.529) (-3765.505) * [-3769.502] (-3794.440) (-3776.118) (-3774.300) -- 0:12:28
123000 -- (-3770.160) [-3770.757] (-3782.339) (-3770.846) * [-3753.942] (-3773.022) (-3789.161) (-3763.325) -- 0:12:28
124000 -- [-3766.855] (-3771.294) (-3779.600) (-3776.166) * [-3755.186] (-3769.126) (-3772.612) (-3777.109) -- 0:12:28
125000 -- (-3781.171) [-3773.517] (-3774.486) (-3760.843) * (-3768.005) (-3772.672) [-3767.132] (-3781.411) -- 0:12:29
Average standard deviation of split frequencies: 0.020217
126000 -- [-3760.000] (-3781.965) (-3776.516) (-3764.885) * (-3772.345) (-3769.644) (-3768.965) [-3758.112] -- 0:12:29
127000 -- (-3769.237) [-3781.445] (-3791.675) (-3764.351) * (-3769.694) [-3769.608] (-3797.902) (-3769.464) -- 0:12:22
128000 -- (-3771.670) (-3768.677) (-3771.503) [-3767.269] * (-3771.442) (-3780.874) (-3798.584) [-3768.857] -- 0:12:22
129000 -- (-3781.179) [-3760.422] (-3782.059) (-3774.826) * (-3781.318) (-3782.568) (-3773.722) [-3767.453] -- 0:12:22
130000 -- (-3765.091) [-3758.227] (-3776.554) (-3783.618) * (-3786.441) (-3777.276) [-3765.198] (-3769.509) -- 0:12:22
Average standard deviation of split frequencies: 0.020302
131000 -- [-3762.746] (-3762.729) (-3775.055) (-3790.847) * (-3789.090) (-3776.810) [-3761.159] (-3775.496) -- 0:12:22
132000 -- (-3763.127) (-3768.710) [-3771.540] (-3790.014) * (-3783.273) (-3777.730) (-3773.191) [-3772.075] -- 0:12:23
133000 -- (-3775.763) (-3767.682) [-3775.807] (-3794.609) * [-3758.891] (-3771.084) (-3799.932) (-3761.549) -- 0:12:23
134000 -- (-3782.399) (-3785.407) (-3781.178) [-3775.737] * [-3775.446] (-3783.229) (-3786.509) (-3761.655) -- 0:12:16
135000 -- (-3772.450) (-3780.270) (-3771.643) [-3771.358] * [-3772.312] (-3787.920) (-3769.735) (-3799.414) -- 0:12:16
Average standard deviation of split frequencies: 0.020585
136000 -- (-3773.541) [-3773.103] (-3762.169) (-3776.504) * (-3774.900) [-3789.281] (-3764.127) (-3775.332) -- 0:12:16
137000 -- (-3779.109) (-3771.813) [-3758.314] (-3788.313) * (-3767.613) (-3800.197) (-3778.301) [-3773.935] -- 0:12:17
138000 -- (-3787.764) (-3760.749) [-3773.566] (-3794.356) * [-3761.697] (-3774.550) (-3769.391) (-3767.479) -- 0:12:17
139000 -- (-3773.396) [-3759.253] (-3772.510) (-3786.059) * (-3785.116) [-3768.422] (-3774.405) (-3784.553) -- 0:12:17
140000 -- [-3761.824] (-3780.293) (-3768.076) (-3768.049) * (-3783.739) [-3767.765] (-3779.410) (-3781.314) -- 0:12:17
Average standard deviation of split frequencies: 0.018942
141000 -- (-3775.359) (-3767.338) [-3764.640] (-3796.454) * (-3783.933) (-3774.001) [-3784.576] (-3783.557) -- 0:12:17
142000 -- (-3782.540) (-3776.785) [-3770.945] (-3788.479) * (-3769.012) (-3776.338) (-3781.082) [-3773.975] -- 0:12:17
143000 -- (-3782.528) (-3778.502) (-3790.375) [-3770.415] * (-3778.757) [-3777.245] (-3783.183) (-3779.257) -- 0:12:11
144000 -- (-3771.221) [-3758.508] (-3784.098) (-3770.755) * (-3777.935) (-3765.897) [-3771.340] (-3803.896) -- 0:12:11
145000 -- (-3780.453) (-3773.877) (-3791.606) [-3763.631] * (-3779.254) [-3766.625] (-3776.546) (-3777.078) -- 0:12:11
Average standard deviation of split frequencies: 0.018486
146000 -- (-3770.749) [-3763.824] (-3770.708) (-3776.253) * (-3774.305) (-3788.047) [-3765.379] (-3781.878) -- 0:12:11
147000 -- (-3787.377) (-3767.186) (-3765.659) [-3753.067] * (-3787.767) (-3797.854) [-3766.753] (-3773.060) -- 0:12:11
148000 -- (-3775.596) (-3775.408) [-3769.239] (-3772.786) * (-3799.175) (-3775.666) [-3760.403] (-3763.441) -- 0:12:11
149000 -- (-3798.811) (-3779.875) [-3761.535] (-3793.519) * (-3778.127) [-3766.511] (-3790.380) (-3770.759) -- 0:12:11
150000 -- (-3787.611) (-3773.574) (-3771.230) [-3771.368] * (-3783.003) [-3767.277] (-3769.844) (-3767.205) -- 0:12:05
Average standard deviation of split frequencies: 0.017687
151000 -- (-3774.508) (-3801.535) (-3769.009) [-3760.862] * (-3778.471) [-3770.405] (-3771.562) (-3791.646) -- 0:12:05
152000 -- (-3782.752) [-3769.677] (-3767.349) (-3763.962) * (-3786.437) [-3775.375] (-3770.087) (-3774.506) -- 0:12:05
153000 -- (-3763.141) [-3775.024] (-3811.302) (-3768.501) * (-3790.164) [-3771.986] (-3787.606) (-3765.475) -- 0:12:05
154000 -- (-3772.614) (-3770.611) (-3788.742) [-3768.927] * (-3774.217) (-3778.997) (-3779.231) [-3773.175] -- 0:12:05
155000 -- [-3764.565] (-3770.135) (-3799.876) (-3774.615) * (-3773.315) (-3801.322) (-3772.577) [-3758.042] -- 0:12:05
Average standard deviation of split frequencies: 0.016343
156000 -- [-3763.690] (-3770.390) (-3777.913) (-3773.826) * (-3784.985) (-3782.814) [-3763.439] (-3793.199) -- 0:11:59
157000 -- (-3770.607) (-3788.429) [-3756.591] (-3781.412) * (-3781.707) (-3769.769) [-3759.485] (-3772.875) -- 0:11:59
158000 -- (-3787.499) (-3773.404) (-3767.212) [-3760.255] * (-3781.427) [-3776.398] (-3791.495) (-3779.222) -- 0:11:59
159000 -- (-3768.385) (-3784.125) [-3762.760] (-3769.856) * (-3797.826) (-3770.323) [-3779.130] (-3768.388) -- 0:11:59
160000 -- (-3776.028) (-3789.717) (-3774.709) [-3773.281] * (-3795.521) (-3767.866) (-3773.160) [-3767.412] -- 0:11:59
Average standard deviation of split frequencies: 0.015609
161000 -- [-3759.468] (-3766.677) (-3768.921) (-3767.825) * (-3801.301) [-3775.106] (-3784.050) (-3771.841) -- 0:11:59
162000 -- [-3766.520] (-3782.817) (-3764.491) (-3762.415) * (-3776.098) (-3786.252) [-3780.377] (-3768.015) -- 0:11:53
163000 -- (-3776.174) (-3778.770) (-3775.376) [-3773.156] * (-3778.197) (-3765.192) (-3784.702) [-3765.224] -- 0:11:53
164000 -- [-3766.459] (-3771.503) (-3784.774) (-3777.185) * (-3790.534) (-3768.075) (-3798.621) [-3765.012] -- 0:11:53
165000 -- (-3790.386) (-3768.521) (-3781.897) [-3766.691] * [-3774.752] (-3764.065) (-3782.759) (-3764.164) -- 0:11:53
Average standard deviation of split frequencies: 0.015846
166000 -- (-3802.865) [-3767.714] (-3764.768) (-3777.836) * (-3774.440) (-3767.116) (-3783.974) [-3751.620] -- 0:11:53
167000 -- (-3772.346) (-3772.178) (-3776.852) [-3762.020] * (-3785.311) [-3770.707] (-3767.372) (-3772.927) -- 0:11:53
168000 -- [-3765.174] (-3772.398) (-3764.228) (-3772.355) * (-3763.974) [-3761.842] (-3773.538) (-3777.334) -- 0:11:48
169000 -- (-3783.733) (-3779.668) (-3770.051) [-3769.236] * (-3764.980) [-3763.230] (-3782.516) (-3773.584) -- 0:11:48
170000 -- (-3766.305) [-3772.417] (-3781.310) (-3787.405) * (-3787.875) (-3787.348) (-3800.704) [-3767.427] -- 0:11:47
Average standard deviation of split frequencies: 0.016009
171000 -- (-3776.540) [-3766.473] (-3780.075) (-3779.999) * (-3797.737) (-3772.344) (-3808.146) [-3762.155] -- 0:11:47
172000 -- [-3774.041] (-3781.899) (-3798.458) (-3777.843) * (-3784.915) (-3776.598) (-3783.148) [-3770.368] -- 0:11:47
173000 -- [-3774.275] (-3774.718) (-3776.057) (-3788.951) * (-3778.841) (-3786.114) [-3758.949] (-3763.882) -- 0:11:47
174000 -- (-3785.603) (-3794.305) (-3762.607) [-3771.993] * (-3781.845) (-3765.757) [-3766.850] (-3760.782) -- 0:11:47
175000 -- [-3777.696] (-3785.357) (-3773.459) (-3777.584) * (-3778.094) (-3779.626) [-3779.093] (-3782.911) -- 0:11:42
Average standard deviation of split frequencies: 0.016399
176000 -- [-3773.657] (-3771.285) (-3776.564) (-3771.336) * (-3793.052) [-3771.275] (-3775.696) (-3782.549) -- 0:11:42
177000 -- [-3759.464] (-3783.256) (-3771.402) (-3770.371) * (-3782.457) [-3763.593] (-3777.768) (-3776.856) -- 0:11:42
178000 -- (-3781.736) (-3782.486) (-3784.541) [-3762.291] * (-3775.369) [-3771.257] (-3775.482) (-3779.761) -- 0:11:41
179000 -- (-3791.550) (-3769.053) [-3772.590] (-3764.426) * (-3772.408) [-3770.966] (-3773.801) (-3799.382) -- 0:11:41
180000 -- (-3789.157) (-3762.876) (-3769.699) [-3757.543] * (-3767.371) (-3777.178) [-3770.335] (-3765.155) -- 0:11:41
Average standard deviation of split frequencies: 0.016827
181000 -- (-3781.045) (-3779.506) [-3765.912] (-3778.009) * [-3770.036] (-3780.987) (-3780.400) (-3797.920) -- 0:11:41
182000 -- (-3776.374) [-3770.550] (-3799.857) (-3772.134) * (-3770.534) (-3802.918) [-3771.898] (-3785.747) -- 0:11:36
183000 -- (-3797.958) (-3774.737) [-3773.577] (-3771.822) * (-3766.222) [-3771.882] (-3769.266) (-3799.987) -- 0:11:36
184000 -- (-3775.900) (-3772.111) (-3784.963) [-3772.866] * (-3766.912) [-3766.466] (-3780.394) (-3770.675) -- 0:11:36
185000 -- (-3780.827) (-3784.031) [-3764.721] (-3787.620) * (-3779.256) [-3767.070] (-3774.283) (-3771.412) -- 0:11:36
Average standard deviation of split frequencies: 0.017379
186000 -- (-3779.935) [-3772.652] (-3779.076) (-3759.665) * (-3773.929) [-3760.252] (-3774.953) (-3766.692) -- 0:11:35
187000 -- (-3767.482) (-3773.825) (-3796.023) [-3774.817] * (-3779.762) (-3781.530) (-3795.372) [-3773.584] -- 0:11:35
188000 -- [-3764.574] (-3776.043) (-3780.071) (-3783.054) * (-3779.356) (-3789.306) (-3780.470) [-3765.928] -- 0:11:35
189000 -- [-3763.735] (-3764.136) (-3770.194) (-3774.594) * (-3774.458) (-3786.414) (-3790.446) [-3775.809] -- 0:11:30
190000 -- [-3763.590] (-3769.230) (-3782.106) (-3773.478) * (-3774.014) [-3783.646] (-3806.574) (-3786.722) -- 0:11:30
Average standard deviation of split frequencies: 0.016600
191000 -- [-3764.367] (-3770.231) (-3791.605) (-3767.870) * [-3764.138] (-3783.332) (-3790.076) (-3778.005) -- 0:11:30
192000 -- (-3758.856) [-3779.810] (-3779.783) (-3778.765) * (-3759.362) (-3782.680) (-3768.453) [-3767.441] -- 0:11:30
193000 -- (-3772.796) (-3789.318) (-3789.879) [-3762.824] * (-3773.280) (-3781.071) (-3787.038) [-3758.711] -- 0:11:29
194000 -- (-3760.060) (-3779.387) (-3776.193) [-3775.525] * [-3764.064] (-3760.792) (-3780.391) (-3768.366) -- 0:11:29
195000 -- [-3778.049] (-3772.267) (-3791.216) (-3774.782) * (-3774.978) (-3774.803) (-3785.911) [-3773.240] -- 0:11:29
Average standard deviation of split frequencies: 0.017081
196000 -- (-3768.913) (-3780.739) (-3770.632) [-3769.787] * [-3761.055] (-3778.149) (-3780.674) (-3782.435) -- 0:11:25
197000 -- (-3779.120) (-3794.298) [-3754.772] (-3777.451) * (-3805.154) (-3787.010) (-3774.132) [-3781.937] -- 0:11:24
198000 -- (-3778.494) (-3776.847) [-3764.745] (-3764.756) * (-3782.508) [-3763.482] (-3785.068) (-3771.000) -- 0:11:24
199000 -- (-3781.836) [-3772.857] (-3761.635) (-3792.144) * [-3764.508] (-3770.258) (-3786.425) (-3784.168) -- 0:11:24
200000 -- (-3781.035) (-3765.305) [-3770.994] (-3787.784) * (-3776.421) (-3771.108) (-3806.866) [-3769.074] -- 0:11:24
Average standard deviation of split frequencies: 0.017835
201000 -- (-3775.227) (-3785.649) (-3765.089) [-3763.819] * (-3767.876) (-3784.447) (-3788.040) [-3764.205] -- 0:11:23
202000 -- (-3775.357) [-3773.645] (-3778.919) (-3783.582) * (-3764.540) (-3774.735) [-3760.020] (-3768.574) -- 0:11:23
203000 -- (-3775.101) [-3776.807] (-3775.214) (-3777.148) * (-3764.485) (-3768.456) [-3753.570] (-3779.103) -- 0:11:19
204000 -- (-3784.645) [-3765.106] (-3782.956) (-3769.153) * (-3777.939) (-3777.846) [-3777.190] (-3784.292) -- 0:11:18
205000 -- (-3781.713) [-3777.147] (-3760.044) (-3772.066) * (-3801.430) (-3769.229) [-3772.241] (-3780.534) -- 0:11:18
Average standard deviation of split frequencies: 0.017653
206000 -- [-3770.375] (-3789.333) (-3778.501) (-3783.799) * [-3775.059] (-3789.344) (-3776.663) (-3776.843) -- 0:11:18
207000 -- [-3757.857] (-3773.918) (-3775.861) (-3778.034) * [-3769.677] (-3770.008) (-3775.112) (-3772.954) -- 0:11:18
208000 -- (-3763.675) [-3758.541] (-3757.505) (-3783.835) * [-3774.876] (-3779.347) (-3778.021) (-3769.294) -- 0:11:17
209000 -- (-3775.252) [-3768.842] (-3786.711) (-3774.800) * (-3771.026) [-3775.155] (-3795.498) (-3764.984) -- 0:11:17
210000 -- (-3768.842) (-3786.549) (-3775.694) [-3760.877] * (-3780.950) [-3764.504] (-3790.268) (-3780.996) -- 0:11:13
Average standard deviation of split frequencies: 0.017171
211000 -- [-3769.964] (-3780.587) (-3785.239) (-3774.880) * (-3765.263) (-3778.224) (-3781.476) [-3769.832] -- 0:11:13
212000 -- (-3782.257) (-3765.034) (-3764.523) [-3758.119] * (-3778.925) (-3769.465) [-3780.839] (-3774.068) -- 0:11:12
213000 -- (-3771.870) [-3763.279] (-3783.698) (-3772.596) * (-3768.141) [-3756.950] (-3776.126) (-3787.562) -- 0:11:12
214000 -- [-3768.628] (-3788.930) (-3760.035) (-3780.005) * [-3763.677] (-3782.025) (-3767.791) (-3794.220) -- 0:11:12
215000 -- (-3777.300) (-3780.911) (-3775.957) [-3776.184] * (-3794.163) (-3773.304) [-3779.543] (-3774.737) -- 0:11:11
Average standard deviation of split frequencies: 0.016435
216000 -- [-3768.930] (-3790.542) (-3788.698) (-3775.633) * (-3786.520) (-3771.626) [-3762.388] (-3772.181) -- 0:11:11
217000 -- [-3769.493] (-3778.475) (-3767.610) (-3777.455) * (-3790.866) [-3763.678] (-3773.763) (-3769.982) -- 0:11:11
218000 -- (-3784.031) (-3781.195) (-3760.727) [-3764.989] * [-3777.188] (-3780.778) (-3783.007) (-3777.559) -- 0:11:10
219000 -- (-3764.449) (-3770.434) [-3765.553] (-3778.525) * (-3780.505) (-3790.299) [-3771.745] (-3769.890) -- 0:11:06
220000 -- (-3765.780) (-3796.154) (-3769.731) [-3778.108] * [-3774.137] (-3780.457) (-3788.140) (-3784.004) -- 0:11:06
Average standard deviation of split frequencies: 0.015957
221000 -- (-3778.458) (-3783.637) (-3763.242) [-3763.562] * (-3768.127) (-3779.428) (-3789.859) [-3770.494] -- 0:11:06
222000 -- (-3781.509) [-3778.530] (-3775.352) (-3781.241) * (-3778.834) (-3766.519) (-3777.743) [-3763.155] -- 0:11:05
223000 -- (-3792.255) [-3783.196] (-3772.464) (-3788.091) * (-3779.610) (-3777.268) [-3756.800] (-3765.897) -- 0:11:05
224000 -- (-3784.156) [-3771.136] (-3768.810) (-3775.141) * (-3777.831) (-3762.814) [-3767.369] (-3779.977) -- 0:11:05
225000 -- [-3771.565] (-3779.190) (-3777.396) (-3787.277) * [-3767.449] (-3787.014) (-3766.508) (-3786.038) -- 0:11:01
Average standard deviation of split frequencies: 0.016304
226000 -- (-3766.117) [-3772.817] (-3780.620) (-3788.466) * (-3785.666) (-3795.267) [-3759.717] (-3789.143) -- 0:11:00
227000 -- (-3761.701) [-3770.896] (-3776.093) (-3792.747) * [-3764.581] (-3783.073) (-3767.709) (-3775.040) -- 0:11:00
228000 -- (-3789.652) [-3773.964] (-3765.271) (-3780.195) * (-3770.323) (-3785.539) (-3763.387) [-3780.811] -- 0:11:00
229000 -- (-3771.778) (-3772.636) (-3772.800) [-3776.626] * (-3772.525) (-3775.989) (-3781.276) [-3765.284] -- 0:10:59
230000 -- (-3778.218) (-3772.179) (-3781.685) [-3764.104] * [-3751.726] (-3778.789) (-3792.012) (-3770.212) -- 0:10:59
Average standard deviation of split frequencies: 0.016725
231000 -- (-3802.103) (-3765.056) [-3765.268] (-3779.631) * [-3765.974] (-3786.852) (-3789.032) (-3778.767) -- 0:10:59
232000 -- (-3792.969) [-3782.901] (-3760.303) (-3784.118) * (-3795.883) [-3765.519] (-3781.975) (-3769.626) -- 0:10:55
233000 -- (-3766.180) (-3778.150) (-3791.011) [-3766.107] * (-3761.148) [-3762.665] (-3786.109) (-3765.528) -- 0:10:55
234000 -- [-3769.800] (-3769.489) (-3787.514) (-3784.487) * (-3767.372) [-3771.376] (-3783.748) (-3765.539) -- 0:10:54
235000 -- (-3779.524) (-3777.768) [-3768.404] (-3768.723) * (-3770.362) [-3760.683] (-3782.741) (-3772.974) -- 0:10:54
Average standard deviation of split frequencies: 0.016438
236000 -- (-3786.858) (-3768.144) [-3763.619] (-3782.541) * [-3763.521] (-3777.729) (-3780.626) (-3790.354) -- 0:10:53
237000 -- (-3781.516) [-3769.930] (-3779.361) (-3776.234) * (-3796.577) [-3764.134] (-3769.254) (-3787.158) -- 0:10:53
238000 -- [-3761.154] (-3783.108) (-3771.854) (-3777.917) * (-3776.398) [-3785.589] (-3760.258) (-3776.616) -- 0:10:53
239000 -- (-3774.927) (-3782.184) [-3772.106] (-3782.400) * [-3767.302] (-3783.365) (-3764.643) (-3782.045) -- 0:10:52
240000 -- (-3771.063) (-3780.019) (-3787.627) [-3774.364] * (-3773.211) (-3779.410) [-3762.491] (-3793.653) -- 0:10:49
Average standard deviation of split frequencies: 0.015630
241000 -- (-3790.651) (-3777.735) [-3778.139] (-3792.877) * (-3776.113) (-3780.028) (-3780.740) [-3768.086] -- 0:10:48
242000 -- (-3801.866) (-3777.788) (-3768.219) [-3766.409] * (-3776.940) [-3781.441] (-3787.913) (-3769.389) -- 0:10:48
243000 -- (-3803.609) (-3767.683) [-3759.918] (-3776.864) * (-3791.738) (-3784.863) (-3771.887) [-3758.520] -- 0:10:47
244000 -- [-3764.002] (-3779.689) (-3765.468) (-3786.256) * (-3786.829) (-3797.579) [-3765.062] (-3776.226) -- 0:10:47
245000 -- (-3778.745) [-3766.722] (-3776.159) (-3790.527) * (-3778.095) (-3788.574) [-3766.936] (-3781.012) -- 0:10:47
Average standard deviation of split frequencies: 0.015800
246000 -- [-3760.269] (-3774.366) (-3780.381) (-3785.224) * [-3764.100] (-3774.988) (-3780.321) (-3774.867) -- 0:10:46
247000 -- (-3757.542) (-3774.572) (-3789.387) [-3770.459] * (-3774.757) [-3760.244] (-3762.038) (-3792.444) -- 0:10:43
248000 -- (-3766.568) (-3778.101) (-3783.607) [-3771.459] * (-3784.032) (-3784.847) [-3764.358] (-3785.972) -- 0:10:42
249000 -- [-3760.177] (-3769.051) (-3792.776) (-3779.241) * (-3773.577) (-3788.825) [-3783.557] (-3776.061) -- 0:10:42
250000 -- [-3762.325] (-3787.478) (-3783.523) (-3778.612) * (-3761.794) (-3776.173) (-3787.650) [-3764.351] -- 0:10:42
Average standard deviation of split frequencies: 0.016494
251000 -- [-3772.024] (-3785.963) (-3774.958) (-3779.594) * [-3756.367] (-3800.180) (-3779.617) (-3768.526) -- 0:10:41
252000 -- (-3768.119) [-3760.479] (-3765.837) (-3758.031) * (-3765.196) (-3789.808) (-3776.428) [-3794.755] -- 0:10:41
253000 -- (-3777.556) (-3768.715) (-3774.855) [-3767.290] * [-3770.163] (-3786.071) (-3787.803) (-3762.743) -- 0:10:37
254000 -- (-3779.978) [-3763.481] (-3777.885) (-3768.852) * (-3791.825) (-3770.957) (-3776.447) [-3768.470] -- 0:10:37
255000 -- (-3776.948) (-3767.580) (-3776.494) [-3762.943] * (-3788.430) (-3756.212) [-3771.267] (-3762.965) -- 0:10:36
Average standard deviation of split frequencies: 0.016266
256000 -- [-3770.076] (-3770.853) (-3780.885) (-3764.542) * (-3779.723) [-3767.625] (-3766.825) (-3772.028) -- 0:10:36
257000 -- (-3774.816) [-3752.715] (-3774.050) (-3775.134) * (-3783.657) (-3763.909) [-3779.702] (-3771.768) -- 0:10:36
258000 -- (-3767.409) (-3766.848) (-3776.978) [-3778.204] * (-3766.924) (-3769.545) [-3757.799] (-3782.211) -- 0:10:35
259000 -- [-3770.263] (-3784.425) (-3760.370) (-3788.226) * (-3782.018) (-3772.399) [-3766.876] (-3778.731) -- 0:10:32
260000 -- (-3766.380) (-3792.058) [-3770.083] (-3776.076) * (-3802.074) (-3765.311) (-3769.877) [-3769.013] -- 0:10:31
Average standard deviation of split frequencies: 0.016992
261000 -- [-3766.841] (-3784.863) (-3772.960) (-3781.381) * (-3780.186) [-3763.751] (-3783.153) (-3774.112) -- 0:10:31
262000 -- (-3774.998) (-3785.277) (-3779.755) [-3763.084] * (-3783.213) (-3768.077) [-3782.134] (-3768.402) -- 0:10:30
263000 -- [-3769.548] (-3785.709) (-3787.102) (-3789.803) * (-3766.774) [-3775.133] (-3784.364) (-3759.912) -- 0:10:30
264000 -- [-3764.872] (-3798.650) (-3780.733) (-3778.454) * (-3762.015) (-3772.350) [-3765.519] (-3778.982) -- 0:10:30
265000 -- (-3773.437) (-3783.663) (-3784.978) [-3766.506] * [-3770.161] (-3776.022) (-3779.481) (-3782.675) -- 0:10:29
Average standard deviation of split frequencies: 0.015654
266000 -- (-3771.783) [-3777.985] (-3778.855) (-3765.860) * [-3759.220] (-3783.631) (-3771.154) (-3785.114) -- 0:10:26
267000 -- [-3756.549] (-3778.740) (-3768.374) (-3776.817) * (-3776.023) (-3758.592) [-3767.035] (-3786.946) -- 0:10:25
268000 -- (-3778.420) [-3781.864] (-3773.801) (-3767.058) * (-3774.249) (-3758.622) [-3761.339] (-3780.204) -- 0:10:25
269000 -- [-3771.718] (-3783.033) (-3782.761) (-3767.794) * (-3769.474) [-3756.651] (-3784.009) (-3762.658) -- 0:10:25
270000 -- (-3779.733) (-3774.437) (-3781.306) [-3768.037] * (-3780.477) [-3768.839] (-3775.475) (-3770.645) -- 0:10:24
Average standard deviation of split frequencies: 0.014949
271000 -- (-3774.435) (-3777.206) [-3775.841] (-3762.228) * (-3775.593) [-3762.288] (-3783.954) (-3782.228) -- 0:10:21
272000 -- (-3776.404) (-3768.219) (-3772.841) [-3762.717] * (-3767.206) (-3789.777) (-3773.012) [-3754.679] -- 0:10:20
273000 -- (-3766.541) (-3780.369) [-3771.160] (-3779.241) * (-3775.115) (-3795.490) [-3765.752] (-3768.929) -- 0:10:20
274000 -- (-3775.330) [-3780.845] (-3788.034) (-3783.889) * (-3777.852) [-3766.124] (-3771.501) (-3783.722) -- 0:10:20
275000 -- (-3776.434) [-3761.217] (-3813.327) (-3784.512) * [-3766.085] (-3782.959) (-3773.183) (-3757.255) -- 0:10:19
Average standard deviation of split frequencies: 0.014625
276000 -- (-3778.124) [-3756.204] (-3794.520) (-3770.469) * (-3783.306) (-3786.868) (-3769.577) [-3772.366] -- 0:10:19
277000 -- [-3767.823] (-3777.837) (-3775.143) (-3783.800) * [-3770.812] (-3794.870) (-3769.889) (-3764.345) -- 0:10:18
278000 -- (-3767.773) [-3759.870] (-3774.911) (-3778.326) * (-3787.719) (-3797.843) (-3769.147) [-3762.265] -- 0:10:15
279000 -- (-3785.348) [-3769.843] (-3766.041) (-3769.903) * (-3777.047) (-3783.301) [-3756.148] (-3767.464) -- 0:10:15
280000 -- (-3800.394) (-3787.276) (-3782.273) [-3770.258] * (-3775.690) (-3766.535) (-3770.453) [-3770.424] -- 0:10:14
Average standard deviation of split frequencies: 0.013682
281000 -- (-3773.056) (-3782.949) [-3763.882] (-3774.682) * (-3767.557) [-3762.130] (-3778.485) (-3777.486) -- 0:10:14
282000 -- (-3767.950) (-3775.523) [-3770.265] (-3766.053) * (-3786.637) [-3752.902] (-3769.294) (-3769.629) -- 0:10:13
283000 -- (-3782.313) (-3773.450) [-3776.333] (-3772.116) * (-3774.793) (-3777.261) [-3771.073] (-3785.913) -- 0:10:13
284000 -- (-3784.245) [-3761.179] (-3782.160) (-3774.277) * [-3767.290] (-3804.492) (-3772.501) (-3768.233) -- 0:10:10
285000 -- (-3781.029) (-3766.101) [-3759.814] (-3762.424) * (-3786.420) (-3769.765) [-3777.116] (-3770.616) -- 0:10:09
Average standard deviation of split frequencies: 0.014766
286000 -- (-3782.651) (-3765.222) [-3780.920] (-3765.149) * (-3819.055) (-3763.161) (-3773.432) [-3760.665] -- 0:10:09
287000 -- (-3783.286) (-3771.340) (-3787.559) [-3768.894] * (-3782.483) (-3779.082) (-3779.527) [-3764.879] -- 0:10:08
288000 -- (-3786.533) (-3767.938) (-3769.639) [-3770.973] * (-3780.644) [-3774.096] (-3788.538) (-3769.810) -- 0:10:08
289000 -- [-3775.277] (-3771.702) (-3787.612) (-3779.829) * (-3799.092) (-3772.992) (-3777.971) [-3766.023] -- 0:10:07
290000 -- (-3769.330) [-3769.861] (-3784.226) (-3767.652) * (-3772.646) [-3764.314] (-3779.484) (-3779.609) -- 0:10:07
Average standard deviation of split frequencies: 0.014461
291000 -- (-3782.684) [-3757.406] (-3779.249) (-3781.367) * (-3765.028) (-3785.621) [-3765.094] (-3788.992) -- 0:10:06
292000 -- (-3788.588) (-3759.989) [-3772.785] (-3795.515) * (-3783.369) [-3772.496] (-3766.507) (-3776.381) -- 0:10:03
293000 -- (-3782.943) [-3757.071] (-3781.921) (-3778.930) * (-3797.628) (-3785.272) [-3764.544] (-3788.457) -- 0:10:03
294000 -- (-3779.507) [-3769.754] (-3787.461) (-3783.023) * [-3780.724] (-3767.853) (-3765.307) (-3764.383) -- 0:10:02
295000 -- [-3764.492] (-3789.900) (-3763.021) (-3792.335) * (-3766.554) (-3783.951) (-3782.988) [-3766.794] -- 0:10:02
Average standard deviation of split frequencies: 0.014035
296000 -- (-3773.232) (-3777.523) [-3770.401] (-3803.887) * (-3791.878) (-3781.002) [-3768.041] (-3784.192) -- 0:10:01
297000 -- [-3769.872] (-3783.805) (-3782.759) (-3783.058) * (-3776.969) (-3776.835) [-3764.841] (-3792.226) -- 0:10:01
298000 -- (-3781.856) (-3788.943) (-3764.366) [-3763.699] * (-3783.775) [-3782.031] (-3766.314) (-3790.395) -- 0:10:00
299000 -- (-3772.245) (-3781.572) [-3763.062] (-3773.246) * (-3776.959) (-3782.367) [-3759.349] (-3791.887) -- 0:09:57
300000 -- (-3787.850) [-3785.679] (-3773.194) (-3789.920) * (-3780.807) (-3769.960) [-3771.311] (-3779.025) -- 0:09:57
Average standard deviation of split frequencies: 0.013098
301000 -- (-3779.810) [-3767.678] (-3792.528) (-3764.868) * (-3764.552) (-3774.686) (-3774.315) [-3772.424] -- 0:09:56
302000 -- [-3755.452] (-3783.528) (-3774.423) (-3797.640) * [-3774.777] (-3782.400) (-3781.142) (-3777.213) -- 0:09:56
303000 -- (-3766.504) (-3772.177) [-3759.562] (-3795.728) * [-3769.368] (-3775.766) (-3770.894) (-3771.545) -- 0:09:55
304000 -- (-3776.791) (-3767.220) [-3772.757] (-3798.167) * (-3770.983) (-3775.255) (-3769.213) [-3764.417] -- 0:09:55
305000 -- (-3784.630) [-3761.262] (-3761.350) (-3777.349) * (-3766.664) (-3770.373) [-3762.038] (-3779.085) -- 0:09:54
Average standard deviation of split frequencies: 0.013144
306000 -- (-3789.606) [-3758.307] (-3782.153) (-3778.611) * (-3770.254) (-3780.218) [-3773.511] (-3774.632) -- 0:09:54
307000 -- (-3766.020) [-3760.918] (-3791.567) (-3787.619) * (-3790.243) (-3790.276) [-3769.668] (-3773.363) -- 0:09:51
308000 -- (-3789.464) [-3768.159] (-3777.198) (-3782.286) * (-3790.775) (-3774.319) [-3764.149] (-3767.376) -- 0:09:50
309000 -- [-3767.825] (-3781.693) (-3784.971) (-3788.551) * (-3807.941) (-3770.269) [-3776.170] (-3770.280) -- 0:09:50
310000 -- (-3784.485) [-3770.116] (-3773.774) (-3772.036) * (-3789.016) [-3766.299] (-3771.871) (-3786.221) -- 0:09:49
Average standard deviation of split frequencies: 0.013431
311000 -- (-3776.061) (-3772.891) [-3771.314] (-3771.171) * (-3774.241) (-3774.065) [-3766.782] (-3770.994) -- 0:09:49
312000 -- (-3785.792) [-3773.046] (-3774.334) (-3776.063) * (-3768.766) [-3768.756] (-3788.697) (-3777.785) -- 0:09:48
313000 -- (-3771.024) (-3785.539) [-3768.024] (-3775.379) * [-3770.769] (-3771.503) (-3794.008) (-3787.408) -- 0:09:48
314000 -- (-3780.441) (-3791.824) (-3778.187) [-3769.647] * [-3770.868] (-3775.892) (-3773.754) (-3785.696) -- 0:09:45
315000 -- (-3781.037) (-3773.924) [-3758.399] (-3772.655) * (-3784.745) [-3788.845] (-3786.026) (-3779.576) -- 0:09:44
Average standard deviation of split frequencies: 0.013231
316000 -- (-3770.494) (-3774.548) [-3763.967] (-3779.762) * (-3769.434) [-3774.977] (-3768.920) (-3782.832) -- 0:09:44
317000 -- (-3769.618) (-3780.791) [-3765.771] (-3776.773) * (-3779.479) (-3770.027) (-3782.743) [-3763.727] -- 0:09:43
318000 -- [-3771.279] (-3768.945) (-3777.244) (-3781.769) * (-3778.926) [-3774.763] (-3781.468) (-3768.951) -- 0:09:43
319000 -- (-3774.477) (-3783.211) [-3770.176] (-3789.518) * [-3762.986] (-3759.851) (-3792.017) (-3772.620) -- 0:09:42
320000 -- [-3761.981] (-3777.758) (-3760.457) (-3785.534) * (-3769.700) (-3764.778) [-3762.420] (-3773.772) -- 0:09:42
Average standard deviation of split frequencies: 0.013678
321000 -- [-3764.686] (-3780.205) (-3790.253) (-3786.534) * (-3769.931) (-3792.187) [-3765.423] (-3771.745) -- 0:09:41
322000 -- (-3772.417) [-3775.883] (-3775.035) (-3792.723) * (-3780.376) (-3791.832) [-3760.477] (-3761.164) -- 0:09:39
323000 -- (-3766.247) (-3779.007) [-3770.661] (-3798.159) * (-3786.286) (-3771.725) (-3760.788) [-3765.154] -- 0:09:38
324000 -- (-3762.578) (-3791.601) [-3774.613] (-3785.281) * (-3786.077) (-3765.690) [-3762.417] (-3763.869) -- 0:09:37
325000 -- [-3769.267] (-3767.153) (-3782.381) (-3769.241) * (-3776.565) [-3759.019] (-3770.520) (-3775.841) -- 0:09:37
Average standard deviation of split frequencies: 0.013674
326000 -- (-3766.720) (-3771.292) (-3798.358) [-3768.326] * (-3780.936) (-3767.177) [-3765.043] (-3779.997) -- 0:09:36
327000 -- (-3805.547) [-3768.899] (-3771.406) (-3770.051) * [-3769.030] (-3771.374) (-3772.886) (-3780.792) -- 0:09:36
328000 -- (-3778.638) [-3764.854] (-3779.766) (-3779.491) * [-3769.605] (-3771.682) (-3762.219) (-3775.338) -- 0:09:35
329000 -- (-3783.245) (-3799.893) [-3773.469] (-3778.172) * [-3770.725] (-3789.254) (-3767.830) (-3780.088) -- 0:09:33
330000 -- [-3762.426] (-3787.422) (-3781.151) (-3778.162) * (-3789.025) (-3776.944) (-3772.444) [-3773.415] -- 0:09:32
Average standard deviation of split frequencies: 0.013202
331000 -- [-3769.394] (-3796.330) (-3778.030) (-3777.795) * [-3767.893] (-3785.966) (-3771.355) (-3769.737) -- 0:09:31
332000 -- (-3781.940) (-3789.811) (-3784.968) [-3779.528] * (-3765.750) (-3767.972) (-3763.763) [-3757.854] -- 0:09:31
333000 -- (-3777.245) (-3779.325) [-3765.037] (-3785.562) * (-3770.480) (-3766.998) [-3770.694] (-3768.362) -- 0:09:30
334000 -- (-3795.868) [-3752.972] (-3760.472) (-3793.688) * (-3795.601) (-3771.174) (-3789.063) [-3760.544] -- 0:09:30
335000 -- (-3811.676) [-3757.502] (-3773.587) (-3778.353) * (-3772.088) (-3793.691) [-3785.438] (-3779.946) -- 0:09:29
Average standard deviation of split frequencies: 0.012119
336000 -- (-3775.829) (-3768.691) [-3764.283] (-3771.661) * (-3766.930) [-3769.753] (-3773.933) (-3785.765) -- 0:09:27
337000 -- (-3776.517) (-3774.869) [-3757.531] (-3773.646) * (-3791.590) [-3760.893] (-3771.878) (-3769.028) -- 0:09:26
338000 -- (-3801.630) (-3774.046) (-3778.726) [-3761.399] * (-3776.019) [-3762.447] (-3788.418) (-3772.022) -- 0:09:26
339000 -- (-3771.707) (-3789.645) [-3767.672] (-3776.443) * (-3774.736) [-3766.712] (-3769.298) (-3780.047) -- 0:09:25
340000 -- (-3766.255) (-3770.218) (-3779.303) [-3762.899] * (-3778.137) (-3755.340) [-3769.313] (-3772.437) -- 0:09:24
Average standard deviation of split frequencies: 0.012213
341000 -- [-3755.049] (-3780.689) (-3781.313) (-3764.371) * (-3770.627) (-3777.058) [-3774.313] (-3789.617) -- 0:09:24
342000 -- (-3784.985) (-3774.232) (-3788.720) [-3769.900] * [-3773.876] (-3768.847) (-3787.072) (-3777.871) -- 0:09:21
343000 -- (-3775.254) (-3777.410) (-3795.178) [-3775.778] * [-3783.933] (-3786.016) (-3778.596) (-3757.850) -- 0:09:21
344000 -- [-3767.077] (-3768.111) (-3767.672) (-3785.436) * (-3779.225) [-3768.594] (-3789.536) (-3780.880) -- 0:09:20
345000 -- (-3781.841) (-3781.016) [-3776.223] (-3771.899) * (-3779.746) [-3767.707] (-3784.733) (-3773.032) -- 0:09:20
Average standard deviation of split frequencies: 0.012436
346000 -- (-3784.978) (-3778.362) (-3782.435) [-3765.617] * (-3756.916) (-3769.416) (-3782.908) [-3772.251] -- 0:09:19
347000 -- [-3764.550] (-3778.133) (-3764.404) (-3776.296) * (-3762.629) [-3757.433] (-3798.448) (-3769.918) -- 0:09:18
348000 -- [-3768.287] (-3785.237) (-3769.473) (-3772.058) * (-3767.622) (-3770.547) [-3767.667] (-3773.107) -- 0:09:18
349000 -- [-3771.144] (-3760.154) (-3796.279) (-3769.195) * (-3773.182) [-3755.827] (-3770.321) (-3770.729) -- 0:09:17
350000 -- (-3781.281) [-3754.719] (-3783.291) (-3768.476) * (-3782.181) (-3770.502) (-3774.213) [-3763.517] -- 0:09:15
Average standard deviation of split frequencies: 0.012333
351000 -- (-3768.494) [-3755.741] (-3775.126) (-3772.010) * (-3764.465) (-3778.028) (-3770.351) [-3759.416] -- 0:09:14
352000 -- (-3769.555) [-3768.274] (-3780.959) (-3776.808) * [-3773.516] (-3776.655) (-3773.922) (-3769.021) -- 0:09:14
353000 -- [-3756.046] (-3770.790) (-3770.782) (-3787.837) * (-3769.343) [-3766.501] (-3778.147) (-3769.462) -- 0:09:13
354000 -- (-3766.800) (-3779.036) (-3778.124) [-3773.086] * (-3777.455) (-3777.690) (-3784.269) [-3764.081] -- 0:09:12
355000 -- [-3761.456] (-3774.632) (-3776.134) (-3787.017) * (-3788.858) (-3779.699) (-3793.031) [-3768.020] -- 0:09:12
Average standard deviation of split frequencies: 0.012469
356000 -- [-3777.066] (-3771.278) (-3768.859) (-3796.297) * (-3781.009) [-3768.402] (-3762.803) (-3789.412) -- 0:09:09
357000 -- (-3772.870) [-3767.151] (-3780.476) (-3815.857) * (-3792.301) (-3780.849) (-3758.534) [-3775.995] -- 0:09:09
358000 -- [-3775.945] (-3771.894) (-3767.176) (-3779.539) * (-3764.951) (-3769.028) [-3769.108] (-3786.184) -- 0:09:08
359000 -- (-3779.674) [-3771.142] (-3759.796) (-3779.346) * (-3776.031) (-3770.261) [-3769.494] (-3779.597) -- 0:09:08
360000 -- (-3764.225) (-3785.848) [-3760.883] (-3777.977) * (-3776.879) (-3772.556) [-3779.301] (-3776.558) -- 0:09:07
Average standard deviation of split frequencies: 0.013015
361000 -- (-3771.909) [-3771.357] (-3782.307) (-3793.127) * [-3765.383] (-3755.061) (-3770.781) (-3762.506) -- 0:09:06
362000 -- (-3800.685) (-3778.808) [-3777.225] (-3787.797) * (-3778.870) (-3759.023) [-3761.441] (-3770.641) -- 0:09:06
363000 -- (-3780.440) (-3770.804) [-3769.362] (-3794.441) * (-3781.664) (-3765.740) [-3770.925] (-3774.648) -- 0:09:03
364000 -- (-3800.966) (-3778.216) (-3765.390) [-3770.610] * (-3775.673) (-3781.634) (-3773.801) [-3756.281] -- 0:09:03
365000 -- [-3769.333] (-3779.391) (-3771.903) (-3796.570) * [-3761.053] (-3794.184) (-3767.890) (-3778.578) -- 0:09:02
Average standard deviation of split frequencies: 0.012591
366000 -- (-3794.065) (-3773.792) [-3759.982] (-3775.672) * (-3770.906) (-3780.403) [-3761.310] (-3777.752) -- 0:09:02
367000 -- (-3793.735) [-3758.682] (-3767.569) (-3767.915) * (-3791.958) [-3771.763] (-3770.317) (-3786.620) -- 0:09:01
368000 -- (-3805.667) [-3764.077] (-3760.962) (-3786.797) * (-3790.644) [-3757.626] (-3777.233) (-3781.901) -- 0:09:00
369000 -- (-3778.435) (-3779.739) (-3772.062) [-3774.778] * (-3800.255) (-3764.460) [-3770.901] (-3781.231) -- 0:08:58
370000 -- (-3777.944) (-3761.570) (-3787.996) [-3766.126] * (-3773.326) (-3761.611) (-3766.752) [-3770.900] -- 0:08:58
Average standard deviation of split frequencies: 0.013407
371000 -- (-3772.691) (-3786.578) (-3769.166) [-3757.597] * (-3775.409) (-3790.646) [-3777.069] (-3763.871) -- 0:08:57
372000 -- (-3776.579) (-3778.031) [-3762.775] (-3768.989) * (-3772.087) (-3781.884) [-3772.246] (-3766.284) -- 0:08:56
373000 -- (-3791.786) [-3769.142] (-3778.551) (-3771.668) * (-3778.475) [-3773.232] (-3767.080) (-3785.576) -- 0:08:56
374000 -- (-3778.194) (-3766.907) [-3758.343] (-3773.997) * [-3764.304] (-3774.872) (-3787.866) (-3815.060) -- 0:08:55
375000 -- (-3760.736) [-3776.485] (-3782.566) (-3788.724) * [-3765.081] (-3770.889) (-3762.897) (-3806.776) -- 0:08:55
Average standard deviation of split frequencies: 0.013321
376000 -- (-3762.220) (-3783.120) [-3768.254] (-3780.593) * [-3774.163] (-3778.442) (-3770.012) (-3788.921) -- 0:08:52
377000 -- (-3790.607) [-3764.019] (-3775.885) (-3775.475) * (-3771.474) [-3758.374] (-3769.780) (-3768.599) -- 0:08:52
378000 -- (-3783.682) (-3761.417) (-3776.328) [-3760.918] * [-3758.930] (-3769.119) (-3780.917) (-3778.166) -- 0:08:51
379000 -- (-3782.664) [-3770.391] (-3779.030) (-3766.343) * [-3765.029] (-3765.002) (-3791.395) (-3788.732) -- 0:08:50
380000 -- [-3767.721] (-3786.737) (-3777.259) (-3771.091) * (-3771.051) (-3773.972) [-3769.125] (-3774.043) -- 0:08:50
Average standard deviation of split frequencies: 0.013390
381000 -- [-3768.928] (-3788.207) (-3777.752) (-3770.719) * (-3774.345) (-3764.102) (-3774.252) [-3780.083] -- 0:08:49
382000 -- [-3768.973] (-3773.124) (-3767.709) (-3780.279) * (-3768.172) (-3784.027) (-3763.718) [-3768.839] -- 0:08:49
383000 -- (-3774.718) [-3766.058] (-3771.547) (-3779.543) * [-3776.746] (-3789.307) (-3768.507) (-3758.769) -- 0:08:48
384000 -- (-3777.388) (-3778.166) [-3782.038] (-3778.119) * [-3774.441] (-3786.233) (-3784.722) (-3771.729) -- 0:08:46
385000 -- (-3774.661) (-3768.473) (-3811.289) [-3770.673] * (-3763.787) (-3793.151) [-3765.147] (-3779.473) -- 0:08:45
Average standard deviation of split frequencies: 0.012569
386000 -- (-3776.097) (-3806.954) (-3770.857) [-3766.817] * (-3782.135) (-3774.382) (-3776.925) [-3768.696] -- 0:08:44
387000 -- (-3782.125) (-3784.470) [-3754.600] (-3769.310) * (-3771.001) (-3784.964) [-3767.623] (-3757.972) -- 0:08:44
388000 -- (-3773.139) (-3769.289) [-3756.747] (-3773.724) * (-3767.433) [-3751.803] (-3762.698) (-3776.290) -- 0:08:43
389000 -- (-3796.176) [-3777.222] (-3774.842) (-3769.064) * (-3768.206) (-3774.037) [-3757.763] (-3767.381) -- 0:08:43
390000 -- (-3770.606) (-3779.945) (-3766.944) [-3758.733] * (-3779.373) [-3769.772] (-3765.591) (-3762.400) -- 0:08:42
Average standard deviation of split frequencies: 0.012732
391000 -- (-3775.641) (-3786.562) (-3785.740) [-3752.465] * (-3772.143) [-3764.702] (-3769.404) (-3777.242) -- 0:08:40
392000 -- (-3770.215) [-3775.849] (-3804.181) (-3758.556) * (-3772.187) (-3779.116) [-3769.233] (-3786.487) -- 0:08:39
393000 -- [-3769.791] (-3776.825) (-3775.064) (-3788.705) * (-3772.791) (-3776.348) [-3770.559] (-3766.419) -- 0:08:38
394000 -- (-3766.122) [-3776.107] (-3777.853) (-3768.083) * (-3766.559) (-3789.615) (-3787.664) [-3772.759] -- 0:08:38
395000 -- (-3765.566) [-3765.240] (-3786.229) (-3782.256) * (-3768.696) (-3785.505) [-3772.231] (-3786.072) -- 0:08:37
Average standard deviation of split frequencies: 0.012269
396000 -- [-3765.527] (-3774.408) (-3776.748) (-3764.737) * (-3779.535) [-3770.947] (-3780.920) (-3781.191) -- 0:08:37
397000 -- (-3765.823) (-3772.494) [-3770.727] (-3780.866) * (-3761.680) (-3779.044) [-3771.908] (-3791.669) -- 0:08:36
398000 -- (-3770.007) (-3780.393) [-3767.097] (-3774.818) * (-3783.198) [-3765.393] (-3763.169) (-3780.454) -- 0:08:34
399000 -- [-3767.732] (-3778.508) (-3770.585) (-3763.586) * (-3785.845) (-3778.495) [-3773.142] (-3759.720) -- 0:08:33
400000 -- [-3759.501] (-3773.336) (-3769.779) (-3770.960) * (-3777.032) (-3782.391) (-3781.527) [-3769.747] -- 0:08:33
Average standard deviation of split frequencies: 0.012452
401000 -- (-3777.215) (-3786.570) [-3772.161] (-3770.913) * (-3775.081) (-3791.865) (-3765.357) [-3762.557] -- 0:08:32
402000 -- (-3783.043) [-3770.254] (-3785.009) (-3790.102) * [-3767.092] (-3772.858) (-3781.696) (-3760.777) -- 0:08:31
403000 -- (-3786.802) (-3769.281) [-3762.855] (-3782.001) * [-3766.730] (-3766.291) (-3772.788) (-3774.799) -- 0:08:31
404000 -- (-3769.240) (-3782.247) (-3783.101) [-3769.418] * [-3765.284] (-3785.248) (-3787.102) (-3766.886) -- 0:08:30
405000 -- (-3780.711) [-3775.905] (-3777.506) (-3776.183) * [-3772.802] (-3781.110) (-3773.659) (-3763.708) -- 0:08:28
Average standard deviation of split frequencies: 0.011564
406000 -- (-3790.835) (-3775.206) (-3773.691) [-3777.507] * (-3776.693) (-3764.662) [-3772.029] (-3756.255) -- 0:08:27
407000 -- (-3787.895) [-3770.189] (-3793.222) (-3767.582) * (-3786.970) (-3775.764) (-3773.618) [-3762.813] -- 0:08:27
408000 -- (-3780.301) [-3766.144] (-3769.215) (-3780.499) * (-3786.723) (-3786.180) [-3764.165] (-3762.805) -- 0:08:26
409000 -- (-3804.390) [-3759.974] (-3764.528) (-3766.088) * (-3792.524) [-3778.476] (-3775.205) (-3774.564) -- 0:08:25
410000 -- (-3794.818) [-3770.358] (-3769.277) (-3760.617) * (-3786.470) [-3776.991] (-3786.437) (-3767.550) -- 0:08:25
Average standard deviation of split frequencies: 0.010964
411000 -- (-3779.592) (-3779.341) [-3758.943] (-3767.645) * (-3796.348) [-3756.188] (-3781.415) (-3772.900) -- 0:08:24
412000 -- (-3784.727) (-3782.569) (-3771.194) [-3769.560] * (-3782.011) (-3789.073) (-3770.547) [-3760.328] -- 0:08:22
413000 -- (-3773.574) (-3785.617) (-3762.087) [-3766.057] * (-3780.067) (-3765.190) [-3770.642] (-3774.342) -- 0:08:21
414000 -- (-3759.996) (-3774.687) [-3760.927] (-3781.965) * (-3777.080) [-3764.697] (-3769.726) (-3782.117) -- 0:08:21
415000 -- (-3780.605) (-3790.403) [-3761.131] (-3773.885) * (-3763.026) (-3768.233) (-3771.712) [-3775.522] -- 0:08:20
Average standard deviation of split frequencies: 0.011025
416000 -- (-3776.169) [-3759.530] (-3783.911) (-3772.810) * [-3755.149] (-3775.822) (-3776.245) (-3783.082) -- 0:08:19
417000 -- (-3778.275) (-3764.174) (-3775.483) [-3762.230] * (-3764.685) (-3779.481) (-3784.337) [-3774.628] -- 0:08:19
418000 -- (-3784.424) (-3783.165) (-3772.755) [-3767.175] * (-3781.877) (-3772.085) [-3771.307] (-3797.546) -- 0:08:18
419000 -- (-3793.496) (-3776.565) [-3763.694] (-3776.053) * [-3771.128] (-3763.326) (-3782.581) (-3782.929) -- 0:08:16
420000 -- (-3785.713) [-3763.963] (-3772.815) (-3769.079) * (-3764.069) (-3758.993) (-3792.116) [-3770.775] -- 0:08:15
Average standard deviation of split frequencies: 0.010777
421000 -- (-3777.550) [-3764.552] (-3778.038) (-3798.616) * [-3767.488] (-3781.346) (-3776.311) (-3768.540) -- 0:08:15
422000 -- (-3777.298) (-3765.797) (-3778.220) [-3769.462] * [-3769.713] (-3766.124) (-3768.382) (-3771.400) -- 0:08:14
423000 -- (-3778.368) (-3778.450) [-3759.324] (-3769.359) * (-3763.532) (-3776.656) [-3757.076] (-3786.169) -- 0:08:13
424000 -- (-3773.871) [-3761.998] (-3767.357) (-3774.981) * [-3775.427] (-3782.667) (-3761.434) (-3767.978) -- 0:08:13
425000 -- (-3778.428) (-3773.315) (-3767.374) [-3762.402] * (-3777.188) (-3765.036) (-3772.854) [-3763.284] -- 0:08:12
Average standard deviation of split frequencies: 0.010328
426000 -- [-3767.688] (-3761.311) (-3766.054) (-3774.579) * (-3775.034) (-3774.864) [-3758.090] (-3772.317) -- 0:08:11
427000 -- (-3773.885) (-3774.371) [-3767.303] (-3777.591) * (-3793.853) [-3775.958] (-3762.418) (-3775.570) -- 0:08:09
428000 -- (-3788.112) (-3774.519) [-3772.594] (-3778.299) * (-3778.325) (-3771.442) [-3764.577] (-3784.169) -- 0:08:09
429000 -- (-3765.880) (-3770.744) [-3768.523] (-3810.251) * (-3781.926) (-3785.474) [-3776.148] (-3777.467) -- 0:08:08
430000 -- (-3776.193) (-3783.123) [-3768.832] (-3803.252) * (-3780.554) [-3760.552] (-3801.763) (-3776.302) -- 0:08:07
Average standard deviation of split frequencies: 0.010518
431000 -- (-3773.255) [-3764.178] (-3779.524) (-3780.038) * (-3781.314) (-3771.172) (-3775.841) [-3764.756] -- 0:08:07
432000 -- [-3765.494] (-3779.164) (-3784.971) (-3782.567) * (-3796.850) (-3783.641) (-3777.701) [-3762.512] -- 0:08:06
433000 -- (-3786.340) [-3758.601] (-3783.039) (-3777.495) * (-3775.725) (-3799.257) (-3762.491) [-3768.609] -- 0:08:05
434000 -- [-3757.916] (-3770.204) (-3781.817) (-3773.079) * (-3775.718) (-3790.824) (-3782.930) [-3765.195] -- 0:08:05
435000 -- (-3773.027) (-3771.975) [-3773.495] (-3789.818) * (-3777.585) [-3765.359] (-3767.814) (-3791.087) -- 0:08:03
Average standard deviation of split frequencies: 0.010249
436000 -- (-3773.574) (-3773.730) [-3785.014] (-3793.698) * [-3779.034] (-3776.620) (-3773.453) (-3774.874) -- 0:08:02
437000 -- (-3769.160) [-3763.575] (-3774.148) (-3782.902) * [-3765.271] (-3781.940) (-3767.609) (-3769.237) -- 0:08:01
438000 -- (-3786.957) [-3759.095] (-3773.188) (-3798.401) * [-3772.168] (-3784.664) (-3777.625) (-3784.500) -- 0:08:01
439000 -- (-3762.875) (-3769.232) [-3754.113] (-3789.114) * (-3775.060) (-3784.403) (-3774.823) [-3763.418] -- 0:08:00
440000 -- (-3771.772) (-3777.950) [-3762.822] (-3782.007) * [-3766.170] (-3784.821) (-3784.969) (-3761.085) -- 0:07:59
Average standard deviation of split frequencies: 0.010174
441000 -- (-3762.270) (-3785.747) (-3759.895) [-3776.548] * (-3793.686) (-3793.455) (-3776.950) [-3769.553] -- 0:07:59
442000 -- [-3767.255] (-3778.837) (-3775.445) (-3768.746) * (-3778.799) (-3779.682) [-3771.002] (-3772.599) -- 0:07:57
443000 -- (-3795.863) (-3790.059) [-3772.082] (-3763.460) * [-3765.926] (-3785.119) (-3773.117) (-3775.578) -- 0:07:56
444000 -- (-3786.584) (-3788.044) [-3755.318] (-3777.545) * (-3769.743) (-3777.316) (-3764.700) [-3763.699] -- 0:07:55
445000 -- (-3772.620) [-3766.145] (-3764.720) (-3796.848) * [-3765.192] (-3766.688) (-3789.345) (-3774.840) -- 0:07:55
Average standard deviation of split frequencies: 0.010232
446000 -- (-3768.793) (-3757.507) [-3766.138] (-3783.277) * (-3764.393) (-3784.181) [-3761.982] (-3777.522) -- 0:07:54
447000 -- (-3765.761) (-3778.485) (-3764.157) [-3762.988] * (-3767.492) (-3790.436) [-3764.478] (-3782.508) -- 0:07:53
448000 -- (-3776.985) [-3763.778] (-3770.118) (-3759.195) * [-3768.857] (-3776.364) (-3782.488) (-3792.331) -- 0:07:53
449000 -- [-3765.531] (-3780.513) (-3760.929) (-3772.175) * [-3779.871] (-3765.928) (-3783.103) (-3776.868) -- 0:07:51
450000 -- (-3771.605) (-3778.976) (-3772.265) [-3766.046] * [-3769.400] (-3778.066) (-3777.186) (-3790.266) -- 0:07:50
Average standard deviation of split frequencies: 0.010215
451000 -- (-3775.078) (-3787.290) (-3792.613) [-3763.292] * (-3775.619) [-3783.958] (-3780.311) (-3789.586) -- 0:07:49
452000 -- (-3781.996) [-3771.927] (-3773.508) (-3770.834) * [-3770.738] (-3784.446) (-3781.067) (-3780.958) -- 0:07:49
453000 -- (-3771.017) [-3764.888] (-3793.000) (-3761.926) * (-3766.321) (-3776.053) (-3775.959) [-3771.459] -- 0:07:48
454000 -- [-3767.915] (-3779.674) (-3780.092) (-3783.895) * (-3782.402) (-3770.599) [-3772.089] (-3782.445) -- 0:07:47
455000 -- (-3777.826) [-3780.868] (-3776.591) (-3788.301) * [-3774.759] (-3771.672) (-3776.842) (-3782.782) -- 0:07:45
Average standard deviation of split frequencies: 0.010096
456000 -- (-3784.621) (-3781.099) [-3767.180] (-3782.505) * (-3785.630) (-3773.450) [-3764.945] (-3783.543) -- 0:07:45
457000 -- [-3775.142] (-3776.226) (-3772.221) (-3782.418) * (-3777.307) (-3779.696) (-3762.282) [-3783.751] -- 0:07:44
458000 -- (-3762.182) (-3783.171) [-3775.470] (-3788.663) * (-3775.637) (-3787.852) [-3768.637] (-3779.779) -- 0:07:43
459000 -- (-3775.055) (-3794.113) [-3769.326] (-3771.902) * [-3767.024] (-3783.128) (-3781.915) (-3775.999) -- 0:07:43
460000 -- (-3774.760) (-3786.364) (-3759.176) [-3760.142] * [-3763.995] (-3776.410) (-3796.384) (-3760.230) -- 0:07:42
Average standard deviation of split frequencies: 0.009079
461000 -- (-3771.055) [-3780.355] (-3762.916) (-3775.879) * (-3775.167) [-3767.672] (-3781.326) (-3789.504) -- 0:07:40
462000 -- (-3784.954) (-3774.061) [-3774.061] (-3790.708) * (-3766.562) (-3787.602) [-3780.210] (-3784.646) -- 0:07:39
463000 -- [-3754.364] (-3804.330) (-3772.261) (-3787.343) * (-3767.008) (-3799.948) (-3773.709) [-3772.277] -- 0:07:39
464000 -- (-3770.430) (-3793.829) (-3780.467) [-3775.747] * (-3770.907) (-3785.716) (-3761.575) [-3773.560] -- 0:07:38
465000 -- (-3778.212) (-3775.421) (-3803.205) [-3783.700] * [-3764.960] (-3781.600) (-3768.388) (-3765.972) -- 0:07:37
Average standard deviation of split frequencies: 0.008954
466000 -- [-3759.773] (-3786.787) (-3775.658) (-3771.946) * (-3770.937) (-3799.445) (-3787.530) [-3770.137] -- 0:07:37
467000 -- (-3759.023) (-3774.276) (-3802.711) [-3777.508] * [-3770.627] (-3767.700) (-3777.018) (-3765.010) -- 0:07:36
468000 -- [-3770.342] (-3761.862) (-3793.610) (-3773.959) * (-3779.861) (-3767.305) (-3784.577) [-3757.359] -- 0:07:34
469000 -- (-3780.770) (-3792.268) (-3771.938) [-3767.535] * (-3764.328) (-3786.584) [-3772.678] (-3780.851) -- 0:07:34
470000 -- [-3766.059] (-3790.394) (-3784.435) (-3780.621) * (-3790.776) (-3788.023) (-3763.684) [-3763.797] -- 0:07:33
Average standard deviation of split frequencies: 0.009014
471000 -- (-3774.388) (-3786.198) (-3796.386) [-3764.565] * (-3779.052) [-3771.826] (-3782.873) (-3772.135) -- 0:07:32
472000 -- (-3772.899) (-3767.709) (-3780.650) [-3764.214] * [-3763.819] (-3792.539) (-3782.318) (-3788.760) -- 0:07:31
473000 -- [-3761.609] (-3780.408) (-3770.481) (-3784.133) * (-3759.548) (-3801.262) (-3788.317) [-3765.962] -- 0:07:31
474000 -- (-3769.797) (-3784.430) [-3759.809] (-3774.547) * (-3783.480) (-3766.191) (-3768.552) [-3768.437] -- 0:07:29
475000 -- [-3787.584] (-3775.280) (-3770.293) (-3772.411) * (-3784.172) (-3782.318) (-3766.369) [-3782.499] -- 0:07:28
Average standard deviation of split frequencies: 0.008934
476000 -- (-3779.699) (-3775.929) [-3771.261] (-3787.140) * (-3776.173) (-3761.924) [-3764.215] (-3775.081) -- 0:07:28
477000 -- (-3782.084) (-3779.254) (-3777.946) [-3760.691] * (-3789.686) (-3779.284) [-3769.249] (-3776.549) -- 0:07:27
478000 -- (-3775.469) [-3769.164] (-3782.523) (-3770.675) * (-3772.518) (-3788.774) [-3769.637] (-3769.733) -- 0:07:26
479000 -- (-3779.625) (-3778.907) (-3775.530) [-3766.846] * (-3779.913) [-3776.508] (-3770.012) (-3784.988) -- 0:07:25
480000 -- [-3754.804] (-3782.454) (-3778.779) (-3766.396) * (-3777.530) (-3788.395) [-3767.379] (-3760.776) -- 0:07:25
Average standard deviation of split frequencies: 0.008555
481000 -- [-3766.886] (-3762.715) (-3793.516) (-3783.738) * (-3769.056) (-3795.995) [-3763.723] (-3769.900) -- 0:07:24
482000 -- (-3780.111) (-3768.771) (-3797.687) [-3773.321] * (-3768.157) (-3784.230) (-3774.267) [-3765.307] -- 0:07:22
483000 -- (-3790.995) (-3782.450) [-3773.457] (-3792.782) * [-3755.642] (-3776.549) (-3778.661) (-3792.889) -- 0:07:22
484000 -- [-3769.702] (-3794.469) (-3785.387) (-3767.381) * (-3773.313) (-3800.702) [-3767.920] (-3775.131) -- 0:07:21
485000 -- [-3763.023] (-3797.735) (-3788.113) (-3780.515) * (-3777.665) (-3774.986) [-3762.894] (-3783.591) -- 0:07:20
Average standard deviation of split frequencies: 0.008441
486000 -- (-3775.746) (-3789.902) (-3776.830) [-3750.037] * (-3779.108) (-3773.861) [-3764.752] (-3767.674) -- 0:07:19
487000 -- [-3770.272] (-3774.092) (-3772.083) (-3783.952) * (-3784.473) (-3778.808) [-3767.874] (-3755.141) -- 0:07:19
488000 -- [-3758.589] (-3767.295) (-3775.893) (-3770.737) * (-3808.087) [-3772.690] (-3779.395) (-3768.563) -- 0:07:18
489000 -- (-3785.972) (-3761.372) [-3758.862] (-3789.320) * (-3793.843) [-3766.233] (-3769.130) (-3754.272) -- 0:07:16
490000 -- (-3766.719) (-3806.861) [-3760.326] (-3784.279) * [-3762.659] (-3764.896) (-3767.559) (-3763.382) -- 0:07:16
Average standard deviation of split frequencies: 0.008606
491000 -- (-3766.728) (-3785.300) (-3779.834) [-3766.229] * [-3763.879] (-3777.337) (-3789.393) (-3777.997) -- 0:07:15
492000 -- [-3776.672] (-3802.046) (-3778.421) (-3769.058) * (-3778.941) [-3760.740] (-3785.475) (-3772.966) -- 0:07:14
493000 -- [-3763.946] (-3785.167) (-3772.569) (-3782.158) * (-3766.932) [-3758.991] (-3799.397) (-3781.139) -- 0:07:13
494000 -- (-3783.757) (-3773.331) [-3769.647] (-3760.108) * (-3791.070) (-3788.911) [-3771.508] (-3780.666) -- 0:07:13
495000 -- (-3782.583) [-3767.981] (-3781.856) (-3773.824) * (-3785.827) [-3776.271] (-3776.921) (-3771.662) -- 0:07:12
Average standard deviation of split frequencies: 0.008695
496000 -- [-3770.567] (-3760.712) (-3772.381) (-3779.694) * [-3769.661] (-3773.038) (-3765.096) (-3777.823) -- 0:07:11
497000 -- (-3770.881) [-3760.708] (-3792.473) (-3771.281) * (-3770.497) (-3772.272) [-3759.914] (-3780.809) -- 0:07:10
498000 -- (-3778.474) [-3772.008] (-3772.064) (-3771.787) * (-3773.118) (-3796.603) [-3767.371] (-3775.958) -- 0:07:09
499000 -- (-3767.793) (-3774.530) (-3774.339) [-3766.715] * (-3786.469) (-3771.131) [-3763.657] (-3771.128) -- 0:07:08
500000 -- (-3779.870) (-3801.451) (-3767.071) [-3772.395] * (-3787.196) (-3776.458) [-3766.994] (-3771.442) -- 0:07:08
Average standard deviation of split frequencies: 0.008975
501000 -- (-3780.156) (-3790.479) [-3769.321] (-3770.326) * (-3775.339) (-3755.470) (-3779.747) [-3754.929] -- 0:07:07
502000 -- (-3778.800) (-3777.085) [-3771.755] (-3772.569) * (-3797.954) (-3774.272) (-3779.077) [-3770.319] -- 0:07:06
503000 -- (-3781.805) [-3766.618] (-3768.984) (-3771.798) * (-3792.476) (-3778.531) (-3771.253) [-3776.755] -- 0:07:05
504000 -- (-3771.425) [-3767.115] (-3767.390) (-3788.456) * (-3770.728) [-3767.426] (-3787.568) (-3775.831) -- 0:07:04
505000 -- [-3773.120] (-3770.910) (-3774.640) (-3798.937) * (-3769.035) [-3762.992] (-3792.947) (-3773.673) -- 0:07:03
Average standard deviation of split frequencies: 0.009257
506000 -- (-3762.649) (-3767.701) (-3791.007) [-3770.345] * [-3758.849] (-3781.695) (-3772.822) (-3770.107) -- 0:07:02
507000 -- (-3757.163) (-3776.551) [-3769.775] (-3771.784) * (-3782.313) (-3781.695) (-3758.680) [-3780.271] -- 0:07:02
508000 -- (-3770.692) (-3763.165) (-3768.992) [-3759.051] * (-3782.604) (-3774.285) [-3764.413] (-3770.857) -- 0:07:01
509000 -- (-3773.381) [-3761.243] (-3784.437) (-3789.635) * (-3772.581) [-3788.627] (-3765.049) (-3778.000) -- 0:07:00
510000 -- (-3793.301) [-3773.368] (-3793.347) (-3773.591) * (-3777.458) (-3766.489) (-3767.342) [-3774.277] -- 0:06:59
Average standard deviation of split frequencies: 0.009673
511000 -- [-3778.464] (-3792.461) (-3799.465) (-3773.078) * (-3781.588) (-3763.699) (-3772.501) [-3760.937] -- 0:06:58
512000 -- (-3769.186) [-3776.991] (-3773.948) (-3774.040) * [-3764.206] (-3793.472) (-3785.370) (-3764.157) -- 0:06:57
513000 -- (-3786.751) (-3777.790) [-3768.551] (-3781.963) * [-3770.997] (-3767.775) (-3789.349) (-3770.009) -- 0:06:56
514000 -- (-3792.402) (-3775.021) [-3776.699] (-3785.800) * (-3775.284) [-3770.308] (-3795.149) (-3777.406) -- 0:06:56
515000 -- [-3765.103] (-3779.179) (-3778.592) (-3774.859) * [-3766.670] (-3781.686) (-3771.679) (-3792.506) -- 0:06:55
Average standard deviation of split frequencies: 0.009680
516000 -- (-3776.154) (-3785.693) (-3776.501) [-3762.052] * (-3770.798) [-3767.420] (-3779.410) (-3771.440) -- 0:06:54
517000 -- [-3770.712] (-3766.271) (-3768.191) (-3775.038) * (-3780.697) (-3766.178) [-3773.090] (-3781.176) -- 0:06:53
518000 -- (-3761.892) (-3771.182) (-3761.537) [-3758.660] * (-3781.381) [-3767.430] (-3777.760) (-3771.575) -- 0:06:52
519000 -- [-3777.054] (-3786.553) (-3785.862) (-3770.648) * [-3766.146] (-3773.880) (-3779.401) (-3780.439) -- 0:06:51
520000 -- (-3762.155) (-3780.344) (-3773.099) [-3771.070] * [-3775.334] (-3787.307) (-3782.794) (-3770.200) -- 0:06:50
Average standard deviation of split frequencies: 0.009516
521000 -- [-3770.046] (-3784.950) (-3770.135) (-3790.364) * (-3760.039) (-3779.787) (-3776.472) [-3765.647] -- 0:06:50
522000 -- [-3762.572] (-3766.649) (-3769.640) (-3784.731) * (-3776.982) (-3808.054) [-3785.779] (-3774.654) -- 0:06:49
523000 -- (-3767.244) (-3784.915) [-3764.992] (-3771.056) * [-3765.998] (-3788.085) (-3770.285) (-3766.671) -- 0:06:48
524000 -- (-3764.763) [-3783.596] (-3777.836) (-3796.136) * (-3771.503) (-3797.566) (-3787.922) [-3771.430] -- 0:06:47
525000 -- (-3785.403) [-3766.010] (-3764.085) (-3792.463) * [-3778.573] (-3796.105) (-3779.304) (-3778.911) -- 0:06:46
Average standard deviation of split frequencies: 0.009668
526000 -- (-3768.452) (-3790.853) [-3768.493] (-3769.945) * (-3767.055) (-3790.653) [-3756.904] (-3779.810) -- 0:06:45
527000 -- (-3785.067) (-3787.915) [-3768.998] (-3763.849) * [-3767.695] (-3794.398) (-3770.150) (-3777.728) -- 0:06:44
528000 -- (-3781.144) (-3755.830) [-3768.719] (-3778.360) * (-3770.415) (-3783.277) (-3775.608) [-3764.191] -- 0:06:44
529000 -- [-3772.765] (-3766.653) (-3785.520) (-3788.693) * [-3775.792] (-3787.816) (-3784.859) (-3766.715) -- 0:06:43
530000 -- (-3775.369) [-3770.851] (-3764.545) (-3772.732) * [-3768.881] (-3791.785) (-3777.920) (-3773.267) -- 0:06:42
Average standard deviation of split frequencies: 0.009337
531000 -- (-3776.120) [-3750.640] (-3777.899) (-3782.614) * (-3792.469) [-3779.104] (-3781.799) (-3777.676) -- 0:06:41
532000 -- (-3780.461) (-3766.662) [-3761.630] (-3770.003) * (-3781.704) (-3790.969) (-3774.933) [-3768.818] -- 0:06:40
533000 -- [-3765.288] (-3772.622) (-3784.140) (-3784.018) * (-3787.000) [-3755.003] (-3781.253) (-3775.123) -- 0:06:39
534000 -- [-3760.924] (-3784.356) (-3787.230) (-3775.981) * (-3772.407) (-3775.605) (-3790.204) [-3758.310] -- 0:06:38
535000 -- [-3762.469] (-3799.598) (-3788.240) (-3773.756) * [-3762.061] (-3769.015) (-3780.226) (-3774.072) -- 0:06:38
Average standard deviation of split frequencies: 0.009521
536000 -- [-3766.670] (-3776.747) (-3785.447) (-3777.389) * (-3782.033) (-3767.747) (-3775.592) [-3763.788] -- 0:06:37
537000 -- (-3764.249) (-3775.888) [-3760.880] (-3784.852) * (-3777.925) [-3768.747] (-3780.555) (-3773.834) -- 0:06:36
538000 -- (-3782.535) [-3773.281] (-3770.237) (-3765.872) * (-3771.721) (-3772.854) (-3770.045) [-3772.415] -- 0:06:35
539000 -- (-3793.506) (-3782.042) [-3753.724] (-3781.436) * (-3770.849) (-3786.057) [-3772.349] (-3762.210) -- 0:06:34
540000 -- (-3774.668) (-3771.642) (-3765.278) [-3775.108] * (-3790.954) [-3768.317] (-3765.538) (-3792.240) -- 0:06:33
Average standard deviation of split frequencies: 0.009705
541000 -- (-3782.889) (-3782.977) (-3792.077) [-3766.955] * (-3781.763) [-3763.245] (-3769.858) (-3794.801) -- 0:06:32
542000 -- (-3766.627) [-3765.048] (-3767.089) (-3770.195) * (-3779.014) (-3773.303) (-3780.410) [-3776.641] -- 0:06:32
543000 -- (-3773.802) [-3768.857] (-3766.945) (-3768.597) * (-3775.781) [-3761.358] (-3786.940) (-3773.287) -- 0:06:31
544000 -- (-3787.915) (-3798.378) [-3760.132] (-3775.684) * (-3787.147) (-3773.214) (-3781.590) [-3756.556] -- 0:06:30
545000 -- (-3772.438) (-3785.387) [-3761.889] (-3788.308) * (-3782.043) (-3771.646) (-3790.724) [-3765.565] -- 0:06:29
Average standard deviation of split frequencies: 0.009797
546000 -- [-3765.719] (-3775.306) (-3770.365) (-3800.740) * (-3780.052) [-3768.835] (-3777.306) (-3782.960) -- 0:06:28
547000 -- [-3766.720] (-3792.939) (-3768.178) (-3783.539) * (-3758.243) [-3764.147] (-3781.416) (-3770.507) -- 0:06:27
548000 -- (-3790.052) (-3794.030) [-3770.949] (-3776.829) * [-3778.463] (-3775.408) (-3773.622) (-3794.203) -- 0:06:26
549000 -- (-3781.743) (-3770.992) (-3774.286) [-3762.196] * (-3785.452) (-3775.095) (-3767.181) [-3750.220] -- 0:06:26
550000 -- (-3785.207) [-3773.457] (-3771.039) (-3785.137) * (-3792.292) (-3790.807) [-3773.997] (-3770.465) -- 0:06:25
Average standard deviation of split frequencies: 0.009677
551000 -- (-3773.199) (-3775.355) [-3768.454] (-3779.605) * (-3779.373) (-3791.736) [-3782.509] (-3786.099) -- 0:06:23
552000 -- (-3764.976) (-3776.189) [-3769.515] (-3779.437) * (-3791.781) (-3763.054) (-3773.381) [-3774.221] -- 0:06:23
553000 -- (-3770.183) [-3762.797] (-3778.249) (-3787.939) * (-3786.222) [-3768.812] (-3770.815) (-3770.646) -- 0:06:22
554000 -- [-3762.514] (-3761.126) (-3777.654) (-3789.242) * (-3798.641) (-3783.457) (-3752.785) [-3770.008] -- 0:06:21
555000 -- [-3771.388] (-3759.440) (-3776.881) (-3777.313) * (-3786.615) (-3768.786) [-3764.328] (-3768.236) -- 0:06:20
Average standard deviation of split frequencies: 0.009492
556000 -- (-3785.420) [-3773.512] (-3765.620) (-3780.513) * [-3762.070] (-3770.156) (-3775.965) (-3770.854) -- 0:06:20
557000 -- (-3763.495) (-3767.476) [-3761.860] (-3781.281) * [-3762.782] (-3781.972) (-3762.540) (-3772.214) -- 0:06:19
558000 -- (-3795.700) [-3771.406] (-3774.611) (-3782.648) * (-3793.431) [-3772.828] (-3765.431) (-3769.977) -- 0:06:17
559000 -- (-3779.882) (-3774.158) (-3784.219) [-3764.489] * (-3776.553) [-3771.311] (-3790.447) (-3774.241) -- 0:06:17
560000 -- (-3767.994) (-3770.885) [-3772.900] (-3764.191) * (-3781.735) (-3771.482) (-3774.848) [-3771.696] -- 0:06:16
Average standard deviation of split frequencies: 0.009687
561000 -- (-3772.122) [-3773.647] (-3780.178) (-3761.774) * (-3779.258) [-3759.976] (-3782.327) (-3786.842) -- 0:06:15
562000 -- (-3763.482) (-3767.866) (-3785.608) [-3773.218] * [-3766.444] (-3793.283) (-3781.807) (-3787.780) -- 0:06:14
563000 -- (-3759.911) (-3785.417) (-3777.141) [-3760.674] * (-3780.194) (-3779.925) [-3766.382] (-3794.197) -- 0:06:14
564000 -- (-3766.936) (-3772.136) (-3790.810) [-3759.224] * [-3762.948] (-3780.053) (-3784.296) (-3771.817) -- 0:06:12
565000 -- (-3781.564) (-3772.506) [-3786.423] (-3771.099) * [-3759.496] (-3776.846) (-3764.899) (-3771.269) -- 0:06:11
Average standard deviation of split frequencies: 0.009343
566000 -- [-3764.979] (-3788.112) (-3782.435) (-3783.077) * (-3761.559) (-3778.426) [-3772.115] (-3777.444) -- 0:06:11
567000 -- (-3771.009) [-3767.004] (-3783.471) (-3767.770) * (-3774.382) (-3784.759) [-3785.632] (-3772.514) -- 0:06:10
568000 -- (-3800.574) (-3790.082) [-3754.308] (-3767.258) * (-3779.358) [-3776.473] (-3769.761) (-3785.838) -- 0:06:09
569000 -- (-3780.719) (-3770.452) [-3778.316] (-3759.066) * (-3761.868) (-3806.636) [-3767.935] (-3795.920) -- 0:06:08
570000 -- (-3760.807) (-3790.928) [-3766.239] (-3771.291) * (-3788.384) (-3781.984) [-3763.734] (-3781.127) -- 0:06:07
Average standard deviation of split frequencies: 0.009230
571000 -- [-3763.203] (-3793.965) (-3756.105) (-3780.310) * (-3794.326) (-3783.529) [-3773.589] (-3770.015) -- 0:06:06
572000 -- (-3767.714) (-3808.358) [-3763.767] (-3776.377) * (-3783.470) (-3787.060) (-3774.521) [-3765.542] -- 0:06:05
573000 -- [-3766.790] (-3776.375) (-3778.016) (-3765.291) * (-3809.115) (-3781.209) [-3768.999] (-3769.103) -- 0:06:05
574000 -- [-3771.587] (-3789.673) (-3783.846) (-3763.524) * (-3791.073) (-3769.554) [-3767.510] (-3783.373) -- 0:06:04
575000 -- (-3776.474) (-3798.007) [-3769.030] (-3772.099) * [-3755.175] (-3770.664) (-3791.237) (-3799.309) -- 0:06:03
Average standard deviation of split frequencies: 0.009163
576000 -- (-3764.568) (-3784.693) [-3764.098] (-3793.313) * [-3765.724] (-3776.671) (-3780.694) (-3761.915) -- 0:06:02
577000 -- [-3754.634] (-3777.938) (-3784.080) (-3775.399) * (-3796.362) (-3789.717) [-3761.101] (-3764.119) -- 0:06:02
578000 -- [-3759.019] (-3785.759) (-3776.255) (-3781.649) * (-3767.730) (-3781.889) (-3775.604) [-3778.909] -- 0:06:00
579000 -- [-3765.384] (-3787.777) (-3764.474) (-3777.367) * [-3761.544] (-3777.857) (-3776.720) (-3777.933) -- 0:05:59
580000 -- (-3784.510) (-3774.591) [-3770.286] (-3768.459) * [-3756.394] (-3788.576) (-3774.957) (-3778.439) -- 0:05:59
Average standard deviation of split frequencies: 0.009399
581000 -- (-3807.564) [-3768.686] (-3789.635) (-3770.921) * [-3763.403] (-3769.857) (-3790.095) (-3782.106) -- 0:05:58
582000 -- (-3773.609) [-3775.369] (-3796.792) (-3793.943) * [-3756.948] (-3777.474) (-3778.731) (-3780.214) -- 0:05:57
583000 -- (-3772.374) (-3784.152) (-3758.405) [-3771.811] * (-3765.100) [-3773.807] (-3787.285) (-3769.485) -- 0:05:56
584000 -- (-3774.527) [-3764.333] (-3790.331) (-3779.862) * [-3767.793] (-3776.720) (-3769.564) (-3811.687) -- 0:05:56
585000 -- [-3757.650] (-3762.891) (-3782.661) (-3784.296) * [-3769.095] (-3793.477) (-3770.936) (-3794.615) -- 0:05:54
Average standard deviation of split frequencies: 0.009499
586000 -- [-3754.698] (-3802.123) (-3761.981) (-3783.040) * [-3762.040] (-3794.570) (-3781.905) (-3767.079) -- 0:05:53
587000 -- [-3766.123] (-3801.193) (-3765.698) (-3765.083) * (-3774.344) (-3770.281) (-3768.200) [-3763.277] -- 0:05:53
588000 -- [-3764.764] (-3783.128) (-3793.077) (-3778.577) * [-3764.520] (-3777.442) (-3782.640) (-3779.502) -- 0:05:52
589000 -- [-3769.641] (-3775.720) (-3801.128) (-3775.270) * [-3768.820] (-3784.886) (-3779.425) (-3804.917) -- 0:05:51
590000 -- (-3762.242) [-3756.774] (-3783.294) (-3787.060) * (-3775.455) (-3767.531) [-3757.912] (-3785.676) -- 0:05:50
Average standard deviation of split frequencies: 0.009136
591000 -- (-3765.775) (-3788.996) [-3764.346] (-3773.875) * (-3777.149) [-3769.877] (-3766.925) (-3774.243) -- 0:05:50
592000 -- (-3760.791) (-3770.972) [-3754.762] (-3784.704) * (-3764.300) (-3774.303) (-3765.142) [-3759.544] -- 0:05:48
593000 -- (-3767.997) [-3760.634] (-3786.355) (-3784.506) * (-3777.979) (-3782.700) (-3778.515) [-3760.256] -- 0:05:47
594000 -- (-3766.080) [-3759.079] (-3789.710) (-3788.954) * [-3762.440] (-3761.268) (-3778.186) (-3784.178) -- 0:05:47
595000 -- (-3778.818) (-3771.019) [-3782.943] (-3779.514) * (-3775.389) (-3769.905) [-3770.379] (-3777.477) -- 0:05:46
Average standard deviation of split frequencies: 0.008717
596000 -- (-3780.297) (-3777.341) [-3763.108] (-3775.527) * [-3773.838] (-3766.690) (-3773.299) (-3777.451) -- 0:05:45
597000 -- (-3769.647) (-3760.467) [-3762.705] (-3780.053) * [-3759.473] (-3763.590) (-3777.438) (-3787.425) -- 0:05:44
598000 -- (-3770.692) [-3757.603] (-3778.306) (-3788.317) * (-3764.699) (-3758.659) (-3781.071) [-3777.168] -- 0:05:43
599000 -- [-3761.129] (-3775.847) (-3776.482) (-3783.340) * (-3781.609) (-3754.444) [-3763.692] (-3770.085) -- 0:05:42
600000 -- [-3772.134] (-3765.227) (-3762.696) (-3795.584) * (-3771.104) [-3766.816] (-3792.709) (-3768.806) -- 0:05:42
Average standard deviation of split frequencies: 0.008518
601000 -- [-3761.024] (-3776.525) (-3764.054) (-3780.518) * (-3764.828) (-3784.023) (-3776.123) [-3763.181] -- 0:05:41
602000 -- (-3766.039) (-3778.198) [-3776.424] (-3796.050) * [-3756.768] (-3780.247) (-3774.189) (-3773.579) -- 0:05:40
603000 -- [-3772.814] (-3775.352) (-3777.316) (-3774.881) * (-3765.897) (-3793.893) (-3798.628) [-3777.837] -- 0:05:39
604000 -- (-3778.114) (-3772.736) (-3809.065) [-3769.319] * (-3785.003) (-3763.965) (-3792.042) [-3768.297] -- 0:05:38
605000 -- (-3776.753) (-3784.237) (-3781.035) [-3769.452] * (-3779.977) [-3767.490] (-3805.783) (-3766.905) -- 0:05:37
Average standard deviation of split frequencies: 0.008411
606000 -- (-3769.302) [-3773.690] (-3776.968) (-3786.389) * (-3790.163) [-3763.972] (-3784.647) (-3780.288) -- 0:05:36
607000 -- [-3773.670] (-3780.309) (-3774.072) (-3778.425) * (-3795.028) (-3775.312) (-3769.396) [-3774.370] -- 0:05:36
608000 -- (-3774.734) [-3768.232] (-3779.706) (-3777.154) * [-3776.898] (-3783.863) (-3778.601) (-3784.907) -- 0:05:35
609000 -- (-3792.598) [-3769.059] (-3802.651) (-3775.503) * [-3769.202] (-3788.767) (-3775.028) (-3791.967) -- 0:05:34
610000 -- (-3783.862) (-3785.181) (-3790.875) [-3773.897] * [-3776.355] (-3776.409) (-3795.981) (-3771.239) -- 0:05:33
Average standard deviation of split frequencies: 0.008620
611000 -- [-3764.822] (-3773.858) (-3786.039) (-3798.048) * [-3773.296] (-3791.758) (-3761.542) (-3771.746) -- 0:05:32
612000 -- (-3761.200) (-3780.415) [-3759.560] (-3786.811) * (-3787.965) (-3784.077) [-3770.799] (-3781.382) -- 0:05:31
613000 -- (-3784.108) (-3790.221) (-3763.213) [-3769.775] * (-3793.064) (-3789.207) (-3773.683) [-3763.760] -- 0:05:30
614000 -- (-3776.282) (-3798.724) [-3767.425] (-3779.760) * (-3775.526) (-3783.007) [-3764.940] (-3772.569) -- 0:05:30
615000 -- (-3767.668) (-3784.770) [-3761.677] (-3782.176) * [-3765.145] (-3779.752) (-3769.011) (-3771.233) -- 0:05:29
Average standard deviation of split frequencies: 0.008434
616000 -- (-3780.550) (-3771.791) [-3759.003] (-3785.125) * (-3773.225) [-3764.875] (-3770.834) (-3776.055) -- 0:05:28
617000 -- (-3782.582) (-3773.456) (-3778.977) [-3768.255] * (-3771.879) [-3765.711] (-3766.830) (-3780.136) -- 0:05:27
618000 -- (-3777.643) [-3762.736] (-3778.578) (-3773.230) * (-3782.414) [-3768.110] (-3774.376) (-3793.615) -- 0:05:26
619000 -- (-3769.869) [-3782.745] (-3777.772) (-3776.285) * (-3782.290) (-3771.302) (-3775.312) [-3772.624] -- 0:05:25
620000 -- (-3769.033) [-3790.016] (-3773.140) (-3784.647) * [-3767.240] (-3778.930) (-3769.385) (-3785.689) -- 0:05:24
Average standard deviation of split frequencies: 0.008244
621000 -- (-3766.405) [-3770.140] (-3783.644) (-3774.534) * (-3792.008) (-3768.488) [-3760.965] (-3773.840) -- 0:05:24
622000 -- (-3788.023) (-3772.370) [-3769.195] (-3776.194) * [-3761.373] (-3761.223) (-3780.508) (-3781.487) -- 0:05:23
623000 -- [-3767.723] (-3780.603) (-3778.144) (-3778.242) * [-3760.523] (-3779.353) (-3775.045) (-3784.435) -- 0:05:22
624000 -- (-3772.178) (-3778.528) [-3761.184] (-3791.620) * (-3778.983) [-3766.182] (-3768.967) (-3768.004) -- 0:05:21
625000 -- [-3769.776] (-3774.481) (-3782.274) (-3786.522) * (-3779.076) (-3773.413) (-3792.726) [-3758.449] -- 0:05:20
Average standard deviation of split frequencies: 0.008127
626000 -- (-3782.342) [-3768.770] (-3764.796) (-3789.482) * [-3777.864] (-3784.437) (-3764.574) (-3767.657) -- 0:05:19
627000 -- (-3787.612) [-3762.676] (-3782.390) (-3775.773) * (-3784.204) (-3785.467) [-3773.867] (-3790.666) -- 0:05:18
628000 -- (-3778.149) [-3760.935] (-3777.534) (-3794.403) * (-3777.797) (-3777.616) [-3764.066] (-3785.628) -- 0:05:18
629000 -- [-3764.831] (-3765.452) (-3783.531) (-3795.686) * [-3767.120] (-3782.104) (-3771.993) (-3782.033) -- 0:05:17
630000 -- (-3772.549) [-3769.849] (-3765.652) (-3781.456) * (-3783.015) [-3781.668] (-3770.147) (-3777.098) -- 0:05:16
Average standard deviation of split frequencies: 0.008191
631000 -- (-3760.912) (-3773.738) [-3760.887] (-3776.021) * (-3770.347) (-3789.161) [-3777.190] (-3767.456) -- 0:05:15
632000 -- [-3754.140] (-3767.050) (-3764.716) (-3780.656) * (-3768.709) [-3769.463] (-3781.337) (-3772.170) -- 0:05:14
633000 -- (-3764.417) (-3761.311) (-3770.553) [-3755.434] * (-3776.956) [-3774.537] (-3794.370) (-3769.524) -- 0:05:13
634000 -- (-3775.281) [-3766.445] (-3777.934) (-3775.558) * (-3786.402) (-3782.920) (-3777.429) [-3764.861] -- 0:05:12
635000 -- (-3766.975) (-3790.857) (-3771.066) [-3781.531] * (-3768.502) (-3811.589) [-3759.905] (-3781.986) -- 0:05:12
Average standard deviation of split frequencies: 0.008138
636000 -- [-3752.176] (-3783.804) (-3785.176) (-3785.689) * (-3784.422) (-3779.480) (-3775.206) [-3780.558] -- 0:05:11
637000 -- [-3762.991] (-3779.758) (-3771.927) (-3776.225) * (-3792.544) (-3773.587) [-3753.977] (-3776.732) -- 0:05:10
638000 -- [-3764.241] (-3784.719) (-3778.026) (-3778.740) * (-3777.894) [-3770.016] (-3783.657) (-3767.416) -- 0:05:09
639000 -- [-3764.424] (-3778.807) (-3774.143) (-3779.657) * (-3777.403) (-3777.466) (-3769.506) [-3761.966] -- 0:05:08
640000 -- [-3778.089] (-3796.136) (-3772.012) (-3780.966) * (-3765.603) [-3775.240] (-3796.368) (-3786.145) -- 0:05:07
Average standard deviation of split frequencies: 0.008141
641000 -- (-3768.429) (-3779.978) [-3764.530] (-3782.169) * (-3773.878) (-3773.511) [-3767.373] (-3796.915) -- 0:05:06
642000 -- (-3767.696) (-3780.274) (-3761.613) [-3771.021] * (-3787.420) [-3767.836] (-3771.707) (-3778.562) -- 0:05:06
643000 -- (-3780.192) (-3774.654) [-3761.188] (-3767.670) * (-3782.077) (-3780.360) (-3769.171) [-3766.080] -- 0:05:05
644000 -- (-3813.004) (-3790.794) (-3759.231) [-3774.315] * (-3791.570) (-3777.884) (-3776.439) [-3769.589] -- 0:05:04
645000 -- (-3789.803) (-3774.031) (-3772.323) [-3772.117] * (-3802.572) (-3791.789) (-3772.407) [-3767.290] -- 0:05:03
Average standard deviation of split frequencies: 0.008407
646000 -- [-3778.141] (-3763.631) (-3788.154) (-3780.270) * (-3769.202) (-3766.585) (-3767.835) [-3759.528] -- 0:05:02
647000 -- [-3760.467] (-3773.205) (-3774.946) (-3773.693) * [-3784.498] (-3796.170) (-3778.299) (-3786.701) -- 0:05:01
648000 -- (-3768.592) [-3766.320] (-3797.234) (-3769.594) * [-3769.286] (-3765.981) (-3764.589) (-3787.600) -- 0:05:00
649000 -- [-3761.990] (-3776.427) (-3790.061) (-3784.122) * (-3770.608) (-3778.588) [-3773.528] (-3763.967) -- 0:05:00
650000 -- [-3754.471] (-3778.158) (-3780.147) (-3776.632) * [-3768.318] (-3792.262) (-3769.329) (-3773.605) -- 0:04:59
Average standard deviation of split frequencies: 0.008586
651000 -- [-3768.299] (-3784.660) (-3768.525) (-3782.115) * (-3773.872) (-3803.453) (-3770.402) [-3762.863] -- 0:04:58
652000 -- (-3769.742) (-3803.530) (-3781.238) [-3765.965] * (-3780.295) [-3777.622] (-3764.097) (-3763.499) -- 0:04:57
653000 -- (-3774.142) (-3782.228) [-3768.027] (-3776.705) * (-3775.741) (-3775.975) (-3774.274) [-3759.314] -- 0:04:56
654000 -- (-3767.755) [-3766.469] (-3766.107) (-3781.674) * (-3780.357) (-3768.493) [-3761.084] (-3774.087) -- 0:04:55
655000 -- (-3780.730) [-3773.021] (-3776.131) (-3782.019) * (-3793.288) (-3778.445) [-3764.769] (-3774.601) -- 0:04:54
Average standard deviation of split frequencies: 0.008837
656000 -- (-3767.955) [-3764.984] (-3772.677) (-3770.818) * (-3772.047) (-3777.688) [-3762.618] (-3772.456) -- 0:04:54
657000 -- (-3772.701) (-3782.679) (-3795.653) [-3759.453] * [-3764.356] (-3788.756) (-3769.251) (-3778.750) -- 0:04:53
658000 -- (-3774.338) (-3779.005) [-3756.601] (-3794.648) * (-3768.841) (-3769.530) [-3755.668] (-3773.485) -- 0:04:52
659000 -- [-3760.851] (-3775.046) (-3765.103) (-3774.266) * [-3771.927] (-3765.672) (-3763.820) (-3781.874) -- 0:04:51
660000 -- (-3766.863) (-3778.836) (-3774.888) [-3755.872] * (-3786.214) (-3774.032) [-3777.173] (-3768.913) -- 0:04:50
Average standard deviation of split frequencies: 0.008699
661000 -- [-3774.096] (-3801.179) (-3778.616) (-3774.276) * [-3760.904] (-3773.947) (-3786.050) (-3769.092) -- 0:04:49
662000 -- (-3771.919) (-3772.683) [-3772.224] (-3763.380) * (-3778.079) (-3780.542) (-3789.261) [-3760.560] -- 0:04:48
663000 -- (-3776.899) (-3778.576) (-3775.774) [-3759.432] * (-3778.536) (-3772.957) (-3791.764) [-3759.952] -- 0:04:48
664000 -- (-3783.197) (-3793.459) (-3779.108) [-3779.799] * (-3772.351) [-3760.870] (-3808.671) (-3769.602) -- 0:04:47
665000 -- (-3779.250) [-3762.948] (-3774.268) (-3775.864) * (-3772.443) (-3781.409) [-3781.981] (-3773.828) -- 0:04:46
Average standard deviation of split frequencies: 0.008810
666000 -- (-3785.437) (-3762.398) (-3771.151) [-3771.243] * [-3767.427] (-3787.452) (-3773.229) (-3775.467) -- 0:04:45
667000 -- (-3777.778) (-3792.397) [-3759.296] (-3781.485) * (-3759.432) (-3782.641) (-3794.971) [-3763.911] -- 0:04:44
668000 -- (-3775.739) (-3778.625) [-3784.184] (-3773.795) * (-3770.951) (-3777.006) (-3801.441) [-3774.629] -- 0:04:43
669000 -- (-3765.264) (-3777.082) (-3770.844) [-3770.972] * (-3785.658) (-3777.574) [-3784.916] (-3787.058) -- 0:04:43
670000 -- (-3780.019) (-3762.067) (-3764.539) [-3765.472] * (-3789.377) (-3787.902) (-3790.762) [-3791.037] -- 0:04:42
Average standard deviation of split frequencies: 0.008689
671000 -- (-3783.001) (-3783.846) [-3765.618] (-3772.129) * (-3778.597) (-3805.630) [-3771.871] (-3767.022) -- 0:04:41
672000 -- [-3759.696] (-3771.350) (-3765.002) (-3767.273) * (-3777.930) (-3785.229) (-3785.108) [-3762.713] -- 0:04:40
673000 -- (-3770.650) [-3774.458] (-3768.118) (-3780.717) * (-3784.406) (-3779.022) (-3784.183) [-3758.345] -- 0:04:39
674000 -- (-3770.530) (-3780.826) (-3771.530) [-3776.006] * (-3761.910) (-3784.430) (-3790.867) [-3766.519] -- 0:04:38
675000 -- (-3766.326) [-3763.470] (-3775.500) (-3763.088) * (-3762.578) [-3773.172] (-3783.911) (-3767.955) -- 0:04:37
Average standard deviation of split frequencies: 0.008798
676000 -- (-3777.335) (-3772.157) (-3765.481) [-3759.411] * [-3765.004] (-3760.228) (-3795.978) (-3772.880) -- 0:04:37
677000 -- (-3781.373) (-3784.898) [-3769.446] (-3772.142) * (-3806.014) (-3752.068) (-3773.116) [-3767.047] -- 0:04:36
678000 -- (-3764.157) (-3780.114) (-3774.818) [-3765.430] * (-3781.846) [-3771.074] (-3778.840) (-3777.355) -- 0:04:35
679000 -- (-3767.644) (-3777.777) (-3774.942) [-3763.740] * (-3789.829) [-3766.390] (-3775.044) (-3775.885) -- 0:04:34
680000 -- (-3773.947) (-3778.359) [-3767.961] (-3774.027) * (-3772.107) (-3770.270) (-3799.959) [-3772.714] -- 0:04:33
Average standard deviation of split frequencies: 0.008104
681000 -- (-3763.476) [-3764.720] (-3788.170) (-3793.982) * (-3775.318) [-3767.946] (-3776.500) (-3767.316) -- 0:04:32
682000 -- (-3764.112) [-3773.646] (-3787.056) (-3763.710) * (-3790.491) [-3765.645] (-3778.167) (-3774.430) -- 0:04:31
683000 -- (-3780.019) [-3772.892] (-3770.209) (-3792.080) * (-3776.780) (-3760.773) [-3782.231] (-3778.092) -- 0:04:31
684000 -- (-3778.438) [-3764.569] (-3768.086) (-3770.408) * [-3774.621] (-3767.577) (-3780.615) (-3766.481) -- 0:04:30
685000 -- (-3761.333) (-3794.947) (-3766.681) [-3766.376] * [-3765.677] (-3764.285) (-3783.857) (-3779.426) -- 0:04:29
Average standard deviation of split frequencies: 0.007866
686000 -- (-3773.820) (-3775.827) [-3751.084] (-3765.669) * [-3759.681] (-3762.765) (-3770.930) (-3784.747) -- 0:04:28
687000 -- (-3765.265) [-3766.436] (-3761.327) (-3786.310) * (-3762.246) (-3775.199) [-3762.105] (-3781.651) -- 0:04:27
688000 -- (-3778.932) (-3770.086) [-3760.421] (-3783.586) * (-3771.832) (-3786.853) [-3766.392] (-3768.706) -- 0:04:26
689000 -- [-3768.478] (-3770.393) (-3768.557) (-3779.780) * (-3757.974) (-3772.665) [-3757.507] (-3774.081) -- 0:04:25
690000 -- (-3776.362) (-3786.759) [-3767.614] (-3778.958) * (-3771.385) [-3764.937] (-3778.173) (-3763.307) -- 0:04:25
Average standard deviation of split frequencies: 0.007664
691000 -- [-3769.789] (-3779.824) (-3785.956) (-3780.270) * (-3784.924) (-3776.683) [-3775.366] (-3762.435) -- 0:04:24
692000 -- [-3763.522] (-3789.832) (-3782.918) (-3782.076) * (-3791.110) (-3799.551) (-3763.277) [-3763.861] -- 0:04:23
693000 -- (-3785.626) (-3782.968) (-3772.837) [-3780.894] * (-3759.124) [-3761.448] (-3784.250) (-3776.100) -- 0:04:22
694000 -- (-3783.685) (-3783.112) [-3753.492] (-3785.143) * [-3770.044] (-3768.405) (-3784.216) (-3780.445) -- 0:04:21
695000 -- (-3780.709) [-3767.882] (-3761.439) (-3785.698) * (-3801.923) [-3772.397] (-3765.448) (-3768.540) -- 0:04:20
Average standard deviation of split frequencies: 0.007912
696000 -- (-3776.776) (-3763.783) [-3764.584] (-3793.691) * [-3773.179] (-3776.320) (-3772.465) (-3779.070) -- 0:04:19
697000 -- (-3773.458) [-3763.527] (-3773.625) (-3777.441) * (-3780.747) (-3778.536) [-3770.945] (-3766.421) -- 0:04:19
698000 -- [-3781.758] (-3777.111) (-3778.559) (-3789.587) * (-3771.130) (-3778.930) (-3772.616) [-3761.975] -- 0:04:18
699000 -- (-3780.222) (-3772.110) (-3770.747) [-3759.605] * (-3775.201) (-3769.362) [-3778.557] (-3787.476) -- 0:04:17
700000 -- (-3781.662) [-3766.785] (-3783.457) (-3777.894) * (-3772.597) (-3775.134) (-3781.904) [-3771.920] -- 0:04:16
Average standard deviation of split frequencies: 0.007716
701000 -- (-3768.299) [-3774.014] (-3787.648) (-3796.966) * (-3777.723) [-3766.425] (-3765.696) (-3783.792) -- 0:04:15
702000 -- [-3780.483] (-3783.209) (-3771.878) (-3762.997) * (-3782.223) [-3763.676] (-3786.083) (-3781.825) -- 0:04:14
703000 -- [-3763.002] (-3793.691) (-3777.732) (-3765.170) * (-3782.127) [-3767.622] (-3793.585) (-3771.152) -- 0:04:13
704000 -- (-3769.672) (-3799.461) [-3772.960] (-3791.043) * [-3778.921] (-3771.815) (-3794.945) (-3781.637) -- 0:04:13
705000 -- [-3772.074] (-3789.059) (-3765.033) (-3774.417) * (-3776.611) [-3755.497] (-3784.555) (-3786.667) -- 0:04:12
Average standard deviation of split frequencies: 0.007629
706000 -- (-3772.045) [-3764.165] (-3776.539) (-3769.634) * (-3794.234) (-3771.700) (-3774.875) [-3776.916] -- 0:04:11
707000 -- (-3779.443) (-3775.332) (-3778.990) [-3766.731] * [-3763.038] (-3776.738) (-3781.589) (-3784.169) -- 0:04:10
708000 -- (-3769.694) [-3763.052] (-3804.696) (-3778.055) * (-3788.402) (-3772.604) [-3785.177] (-3771.605) -- 0:04:09
709000 -- [-3776.877] (-3794.180) (-3776.037) (-3787.764) * (-3782.356) [-3754.404] (-3767.916) (-3779.868) -- 0:04:08
710000 -- [-3782.379] (-3776.041) (-3783.490) (-3798.092) * (-3775.094) (-3772.302) [-3772.933] (-3776.152) -- 0:04:07
Average standard deviation of split frequencies: 0.007706
711000 -- [-3761.129] (-3757.573) (-3778.650) (-3784.407) * (-3760.653) (-3781.311) [-3772.102] (-3776.640) -- 0:04:07
712000 -- (-3766.223) (-3770.500) [-3768.468] (-3794.624) * (-3781.512) [-3765.461] (-3779.750) (-3781.437) -- 0:04:06
713000 -- (-3770.599) (-3773.896) [-3763.938] (-3786.620) * (-3768.526) [-3760.851] (-3788.946) (-3775.068) -- 0:04:05
714000 -- [-3764.923] (-3764.584) (-3767.675) (-3781.349) * (-3775.041) [-3764.043] (-3771.879) (-3783.723) -- 0:04:04
715000 -- (-3770.422) (-3763.551) (-3776.903) [-3762.464] * (-3777.798) [-3757.672] (-3762.843) (-3784.290) -- 0:04:03
Average standard deviation of split frequencies: 0.008097
716000 -- (-3785.232) (-3774.625) [-3757.132] (-3791.497) * (-3766.070) (-3767.401) [-3763.832] (-3792.352) -- 0:04:02
717000 -- (-3765.041) (-3770.016) (-3758.254) [-3774.172] * [-3758.897] (-3768.374) (-3764.586) (-3781.705) -- 0:04:01
718000 -- [-3762.938] (-3783.755) (-3760.156) (-3804.731) * (-3772.269) [-3781.936] (-3776.655) (-3764.454) -- 0:04:01
719000 -- (-3768.682) (-3792.409) [-3771.796] (-3762.256) * (-3772.320) [-3776.171] (-3763.629) (-3782.986) -- 0:03:59
720000 -- (-3766.393) (-3782.295) (-3765.043) [-3763.534] * (-3775.373) [-3767.875] (-3763.257) (-3772.000) -- 0:03:59
Average standard deviation of split frequencies: 0.008072
721000 -- [-3767.785] (-3800.041) (-3788.600) (-3785.927) * (-3776.818) [-3763.883] (-3775.589) (-3785.956) -- 0:03:58
722000 -- (-3794.108) [-3775.895] (-3783.096) (-3770.795) * (-3782.169) (-3759.707) [-3760.439] (-3793.954) -- 0:03:57
723000 -- (-3795.164) (-3774.226) (-3779.095) [-3766.246] * (-3785.021) (-3779.812) (-3762.655) [-3766.810] -- 0:03:56
724000 -- (-3784.941) (-3777.047) (-3795.015) [-3764.506] * (-3778.176) (-3791.894) [-3767.160] (-3776.052) -- 0:03:55
725000 -- (-3771.017) (-3770.100) [-3755.855] (-3768.170) * (-3774.113) (-3797.960) (-3775.133) [-3761.416] -- 0:03:55
Average standard deviation of split frequencies: 0.008123
726000 -- (-3768.490) (-3773.451) [-3762.239] (-3770.217) * [-3773.203] (-3784.396) (-3775.246) (-3766.655) -- 0:03:54
727000 -- (-3783.503) [-3775.110] (-3781.974) (-3787.956) * [-3760.185] (-3775.352) (-3798.943) (-3775.979) -- 0:03:53
728000 -- [-3765.567] (-3787.650) (-3769.339) (-3777.116) * (-3770.149) [-3770.436] (-3762.934) (-3791.014) -- 0:03:52
729000 -- [-3762.083] (-3775.639) (-3796.901) (-3773.926) * (-3784.097) [-3778.607] (-3766.965) (-3779.349) -- 0:03:51
730000 -- (-3766.450) (-3780.770) (-3782.566) [-3757.630] * [-3768.898] (-3780.455) (-3779.733) (-3759.272) -- 0:03:50
Average standard deviation of split frequencies: 0.008071
731000 -- (-3772.110) (-3778.417) (-3770.814) [-3763.150] * (-3780.680) (-3776.858) [-3771.697] (-3772.223) -- 0:03:49
732000 -- (-3772.267) (-3769.519) (-3769.149) [-3763.726] * (-3783.124) [-3768.592] (-3776.836) (-3772.679) -- 0:03:49
733000 -- (-3789.034) [-3765.549] (-3778.599) (-3777.529) * [-3758.430] (-3783.589) (-3769.080) (-3800.294) -- 0:03:48
734000 -- [-3765.418] (-3775.814) (-3777.048) (-3778.506) * (-3777.800) (-3775.223) [-3770.524] (-3794.287) -- 0:03:47
735000 -- (-3773.915) [-3770.953] (-3784.041) (-3783.945) * (-3786.520) [-3771.248] (-3774.258) (-3780.624) -- 0:03:46
Average standard deviation of split frequencies: 0.007972
736000 -- (-3770.882) (-3766.723) (-3810.844) [-3773.868] * (-3774.980) (-3765.599) [-3779.521] (-3791.414) -- 0:03:45
737000 -- [-3772.588] (-3767.650) (-3794.097) (-3783.615) * (-3797.086) (-3780.352) [-3751.311] (-3767.241) -- 0:03:44
738000 -- (-3778.045) [-3762.708] (-3797.515) (-3770.299) * (-3779.659) [-3775.250] (-3765.188) (-3777.463) -- 0:03:44
739000 -- (-3773.847) (-3771.609) (-3774.700) [-3772.148] * (-3784.513) (-3775.671) (-3775.462) [-3775.330] -- 0:03:42
740000 -- (-3791.693) (-3766.432) (-3771.933) [-3765.220] * [-3768.835] (-3772.360) (-3782.858) (-3767.639) -- 0:03:42
Average standard deviation of split frequencies: 0.008062
741000 -- (-3768.623) [-3779.243] (-3776.530) (-3781.998) * (-3778.832) (-3785.933) [-3765.938] (-3779.114) -- 0:03:41
742000 -- (-3768.494) (-3777.002) [-3777.166] (-3776.971) * (-3780.667) [-3781.115] (-3772.545) (-3776.013) -- 0:03:40
743000 -- (-3761.346) (-3773.456) [-3765.712] (-3780.551) * (-3792.745) (-3784.346) (-3773.483) [-3770.983] -- 0:03:39
744000 -- (-3770.545) (-3778.750) [-3762.097] (-3782.048) * [-3772.983] (-3779.427) (-3770.937) (-3789.094) -- 0:03:38
745000 -- (-3778.494) (-3796.172) [-3779.481] (-3784.898) * (-3785.737) (-3762.907) [-3768.793] (-3771.566) -- 0:03:37
Average standard deviation of split frequencies: 0.008162
746000 -- (-3768.028) [-3769.493] (-3777.225) (-3770.612) * (-3784.628) (-3766.645) (-3785.623) [-3771.010] -- 0:03:36
747000 -- (-3775.258) [-3774.723] (-3788.901) (-3795.069) * [-3768.775] (-3770.859) (-3772.668) (-3784.095) -- 0:03:36
748000 -- [-3785.096] (-3782.968) (-3784.854) (-3774.973) * [-3766.388] (-3775.510) (-3770.341) (-3775.928) -- 0:03:35
749000 -- (-3768.490) (-3791.196) (-3791.290) [-3775.874] * [-3765.899] (-3769.807) (-3766.858) (-3789.445) -- 0:03:34
750000 -- (-3764.814) [-3778.520] (-3775.279) (-3788.177) * [-3760.113] (-3775.171) (-3777.815) (-3775.818) -- 0:03:33
Average standard deviation of split frequencies: 0.007816
751000 -- (-3769.877) (-3769.650) (-3786.280) [-3766.586] * (-3770.448) [-3756.354] (-3761.817) (-3785.133) -- 0:03:32
752000 -- (-3786.842) (-3771.011) (-3766.295) [-3776.865] * [-3766.425] (-3776.023) (-3800.735) (-3770.601) -- 0:03:31
753000 -- (-3775.597) (-3779.369) [-3761.189] (-3784.196) * (-3773.869) (-3769.123) (-3768.143) [-3765.378] -- 0:03:30
754000 -- (-3777.758) (-3783.476) (-3754.868) [-3764.933] * (-3792.644) (-3780.363) [-3765.599] (-3772.642) -- 0:03:30
755000 -- (-3772.527) (-3781.312) [-3767.593] (-3772.823) * (-3791.851) [-3781.735] (-3779.139) (-3763.741) -- 0:03:29
Average standard deviation of split frequencies: 0.007721
756000 -- (-3784.757) (-3800.950) (-3774.965) [-3762.827] * (-3774.658) (-3797.536) (-3772.425) [-3759.410] -- 0:03:28
757000 -- [-3793.277] (-3786.932) (-3771.541) (-3797.497) * (-3771.495) (-3784.316) (-3780.337) [-3772.332] -- 0:03:27
758000 -- [-3770.018] (-3786.294) (-3775.736) (-3767.847) * [-3764.569] (-3784.582) (-3791.939) (-3782.858) -- 0:03:26
759000 -- [-3764.375] (-3779.109) (-3795.962) (-3778.989) * [-3774.799] (-3765.825) (-3765.155) (-3790.970) -- 0:03:25
760000 -- (-3768.030) (-3782.144) [-3769.325] (-3772.663) * (-3778.275) [-3768.916] (-3769.904) (-3786.452) -- 0:03:24
Average standard deviation of split frequencies: 0.007489
761000 -- (-3780.457) (-3773.221) (-3785.443) [-3765.441] * [-3762.152] (-3778.460) (-3768.387) (-3777.165) -- 0:03:24
762000 -- (-3772.681) [-3774.837] (-3765.710) (-3787.516) * (-3773.300) (-3774.191) (-3773.075) [-3773.703] -- 0:03:23
763000 -- [-3772.737] (-3794.293) (-3793.704) (-3778.488) * [-3775.357] (-3773.752) (-3794.465) (-3767.314) -- 0:03:22
764000 -- (-3771.007) (-3766.753) (-3775.497) [-3761.603] * [-3770.401] (-3767.971) (-3793.459) (-3785.667) -- 0:03:21
765000 -- (-3781.669) [-3767.736] (-3765.626) (-3769.052) * [-3756.684] (-3782.007) (-3772.566) (-3768.280) -- 0:03:20
Average standard deviation of split frequencies: 0.007577
766000 -- (-3757.430) [-3760.959] (-3761.424) (-3763.962) * [-3774.458] (-3785.131) (-3774.620) (-3770.004) -- 0:03:19
767000 -- (-3762.192) [-3764.914] (-3766.741) (-3780.186) * (-3750.487) (-3769.947) [-3773.262] (-3786.572) -- 0:03:18
768000 -- (-3776.071) (-3776.554) (-3765.846) [-3778.018] * (-3775.982) [-3772.311] (-3764.192) (-3789.643) -- 0:03:18
769000 -- (-3773.934) (-3787.081) [-3775.330] (-3775.877) * (-3773.665) [-3752.689] (-3774.836) (-3779.210) -- 0:03:17
770000 -- [-3769.712] (-3770.233) (-3788.773) (-3776.221) * (-3774.846) (-3774.839) [-3762.603] (-3766.077) -- 0:03:16
Average standard deviation of split frequencies: 0.007595
771000 -- (-3776.706) [-3761.220] (-3804.811) (-3772.459) * (-3776.520) (-3760.640) [-3753.013] (-3769.386) -- 0:03:15
772000 -- (-3777.982) (-3784.353) [-3776.522] (-3765.942) * (-3777.043) [-3767.469] (-3767.497) (-3772.607) -- 0:03:14
773000 -- [-3764.408] (-3790.574) (-3783.070) (-3783.421) * (-3785.980) [-3763.695] (-3768.590) (-3764.584) -- 0:03:13
774000 -- [-3763.729] (-3770.506) (-3778.727) (-3778.497) * (-3776.134) (-3780.476) [-3763.555] (-3772.014) -- 0:03:13
775000 -- (-3768.173) (-3783.597) (-3765.924) [-3763.295] * (-3777.825) (-3772.772) [-3767.010] (-3773.732) -- 0:03:12
Average standard deviation of split frequencies: 0.007505
776000 -- (-3794.426) (-3772.178) (-3769.954) [-3760.698] * (-3762.547) (-3786.058) (-3772.917) [-3768.449] -- 0:03:11
777000 -- (-3783.345) (-3777.356) (-3787.193) [-3755.685] * (-3775.050) (-3773.931) [-3778.097] (-3794.419) -- 0:03:10
778000 -- (-3786.846) (-3769.691) (-3801.073) [-3759.295] * (-3785.381) (-3757.876) (-3790.451) [-3767.724] -- 0:03:09
779000 -- (-3764.348) (-3778.907) [-3768.996] (-3783.286) * (-3779.107) [-3766.026] (-3774.265) (-3784.780) -- 0:03:08
780000 -- (-3762.631) [-3762.221] (-3774.583) (-3770.281) * (-3787.566) (-3777.444) (-3767.309) [-3759.069] -- 0:03:07
Average standard deviation of split frequencies: 0.007246
781000 -- (-3777.460) (-3780.454) (-3782.824) [-3768.642] * [-3763.102] (-3769.755) (-3786.765) (-3771.248) -- 0:03:07
782000 -- (-3787.065) (-3768.147) [-3772.476] (-3774.522) * [-3762.482] (-3777.380) (-3784.999) (-3780.041) -- 0:03:06
783000 -- (-3773.417) (-3769.614) (-3762.139) [-3765.239] * [-3761.337] (-3780.845) (-3783.070) (-3776.629) -- 0:03:05
784000 -- (-3770.505) (-3786.676) (-3788.313) [-3763.739] * (-3777.030) (-3771.717) (-3757.226) [-3784.429] -- 0:03:04
785000 -- (-3783.189) (-3788.277) (-3786.932) [-3770.997] * [-3758.146] (-3772.726) (-3780.953) (-3769.224) -- 0:03:03
Average standard deviation of split frequencies: 0.007442
786000 -- (-3765.853) (-3788.328) [-3777.276] (-3766.299) * (-3773.827) (-3773.085) (-3767.670) [-3761.067] -- 0:03:02
787000 -- (-3779.082) [-3750.055] (-3776.858) (-3761.920) * (-3775.790) (-3794.259) (-3764.112) [-3779.294] -- 0:03:01
788000 -- (-3785.650) (-3771.321) (-3785.950) [-3759.021] * (-3776.503) (-3785.799) [-3782.861] (-3780.328) -- 0:03:01
789000 -- [-3773.189] (-3768.287) (-3774.853) (-3764.061) * [-3763.672] (-3790.301) (-3781.213) (-3781.936) -- 0:03:00
790000 -- (-3769.944) [-3766.115] (-3783.449) (-3762.735) * (-3773.418) [-3781.689] (-3777.217) (-3772.891) -- 0:02:59
Average standard deviation of split frequencies: 0.007304
791000 -- (-3784.612) [-3764.325] (-3793.826) (-3766.310) * (-3795.676) (-3785.030) (-3781.816) [-3771.322] -- 0:02:58
792000 -- [-3771.106] (-3783.171) (-3789.436) (-3789.615) * (-3781.021) (-3781.061) [-3775.604] (-3786.021) -- 0:02:57
793000 -- [-3754.003] (-3777.225) (-3775.174) (-3769.939) * [-3764.304] (-3799.252) (-3764.091) (-3796.624) -- 0:02:56
794000 -- [-3758.274] (-3783.482) (-3782.425) (-3771.736) * [-3767.800] (-3785.054) (-3768.096) (-3780.632) -- 0:02:55
795000 -- [-3765.731] (-3780.394) (-3766.127) (-3770.786) * (-3764.873) [-3765.310] (-3767.115) (-3775.625) -- 0:02:55
Average standard deviation of split frequencies: 0.007675
796000 -- (-3768.263) (-3782.259) [-3761.890] (-3775.030) * (-3770.182) (-3766.258) [-3762.838] (-3770.579) -- 0:02:54
797000 -- [-3762.632] (-3766.335) (-3773.382) (-3781.812) * (-3782.530) (-3788.793) [-3773.479] (-3772.620) -- 0:02:53
798000 -- [-3766.352] (-3801.183) (-3763.715) (-3768.613) * (-3779.228) (-3774.250) (-3776.002) [-3766.370] -- 0:02:52
799000 -- (-3773.012) [-3773.421] (-3762.797) (-3781.279) * (-3777.457) (-3773.458) [-3765.836] (-3792.899) -- 0:02:51
800000 -- [-3783.418] (-3769.803) (-3771.503) (-3777.932) * [-3769.498] (-3780.526) (-3784.650) (-3778.092) -- 0:02:50
Average standard deviation of split frequencies: 0.007568
801000 -- [-3775.517] (-3771.951) (-3783.942) (-3769.641) * (-3760.958) (-3793.061) [-3762.963] (-3778.925) -- 0:02:49
802000 -- (-3764.257) [-3768.667] (-3782.669) (-3799.216) * [-3769.780] (-3772.552) (-3789.905) (-3772.722) -- 0:02:49
803000 -- (-3795.091) (-3786.108) [-3781.278] (-3780.699) * (-3771.318) (-3772.728) (-3792.198) [-3762.549] -- 0:02:48
804000 -- (-3786.820) [-3773.505] (-3792.902) (-3779.964) * (-3776.046) [-3778.614] (-3763.637) (-3770.799) -- 0:02:47
805000 -- (-3775.618) (-3774.075) [-3760.593] (-3782.586) * (-3772.751) (-3788.674) [-3767.529] (-3771.146) -- 0:02:46
Average standard deviation of split frequencies: 0.007854
806000 -- (-3799.504) (-3772.223) (-3771.967) [-3774.677] * (-3782.528) (-3769.042) (-3780.838) [-3764.690] -- 0:02:45
807000 -- (-3804.398) (-3764.869) (-3760.470) [-3775.083] * [-3763.123] (-3759.666) (-3793.961) (-3775.616) -- 0:02:44
808000 -- (-3779.965) (-3760.843) (-3799.026) [-3767.221] * (-3774.245) (-3772.668) [-3748.941] (-3785.278) -- 0:02:43
809000 -- [-3770.758] (-3768.584) (-3784.526) (-3771.397) * [-3766.086] (-3775.526) (-3789.324) (-3768.162) -- 0:02:43
810000 -- (-3784.430) (-3766.996) (-3781.020) [-3760.013] * (-3770.029) (-3777.525) (-3780.831) [-3759.165] -- 0:02:42
Average standard deviation of split frequencies: 0.007738
811000 -- [-3760.294] (-3796.854) (-3786.970) (-3769.662) * (-3773.749) (-3797.753) (-3766.320) [-3762.420] -- 0:02:41
812000 -- [-3764.958] (-3777.947) (-3785.829) (-3772.056) * (-3785.448) [-3765.220] (-3799.824) (-3762.694) -- 0:02:40
813000 -- (-3798.299) (-3770.378) (-3780.959) [-3778.368] * (-3787.951) [-3770.860] (-3781.409) (-3766.797) -- 0:02:39
814000 -- (-3780.902) [-3758.144] (-3778.243) (-3772.054) * (-3760.070) [-3771.664] (-3784.647) (-3767.584) -- 0:02:38
815000 -- (-3769.190) (-3768.296) [-3760.993] (-3776.371) * [-3760.557] (-3780.391) (-3793.738) (-3769.277) -- 0:02:37
Average standard deviation of split frequencies: 0.007366
816000 -- (-3777.852) [-3775.236] (-3776.695) (-3778.905) * (-3789.746) (-3771.159) [-3763.200] (-3773.808) -- 0:02:37
817000 -- (-3766.343) (-3772.788) (-3780.901) [-3778.172] * (-3773.437) (-3777.434) (-3769.912) [-3763.774] -- 0:02:36
818000 -- [-3774.634] (-3776.906) (-3779.797) (-3780.117) * (-3788.398) (-3778.275) (-3798.158) [-3774.251] -- 0:02:35
819000 -- [-3764.191] (-3779.745) (-3778.066) (-3766.609) * (-3783.078) (-3779.942) (-3791.595) [-3760.908] -- 0:02:34
820000 -- (-3780.634) (-3778.649) [-3772.096] (-3771.952) * (-3770.812) (-3779.582) (-3773.396) [-3755.107] -- 0:02:33
Average standard deviation of split frequencies: 0.007575
821000 -- (-3783.002) (-3779.160) [-3762.268] (-3794.224) * (-3765.174) (-3798.660) (-3777.152) [-3769.759] -- 0:02:32
822000 -- (-3780.349) [-3768.770] (-3769.063) (-3803.560) * [-3768.377] (-3778.245) (-3766.717) (-3767.722) -- 0:02:32
823000 -- (-3779.315) (-3764.137) [-3766.255] (-3779.873) * (-3765.080) (-3799.116) (-3776.861) [-3794.146] -- 0:02:31
824000 -- (-3792.781) (-3769.837) (-3775.536) [-3756.296] * (-3766.102) (-3784.917) [-3767.618] (-3768.788) -- 0:02:30
825000 -- (-3767.591) (-3783.973) [-3763.675] (-3770.305) * [-3767.031] (-3786.307) (-3791.097) (-3784.436) -- 0:02:29
Average standard deviation of split frequencies: 0.007502
826000 -- (-3771.876) (-3787.453) [-3771.089] (-3771.393) * [-3779.529] (-3780.522) (-3782.417) (-3782.931) -- 0:02:28
827000 -- (-3772.787) (-3765.228) [-3763.624] (-3780.292) * (-3773.448) (-3797.521) (-3786.327) [-3760.630] -- 0:02:27
828000 -- [-3756.769] (-3793.108) (-3772.764) (-3782.091) * [-3766.554] (-3796.044) (-3778.248) (-3775.373) -- 0:02:26
829000 -- [-3762.556] (-3784.295) (-3780.376) (-3766.446) * (-3769.666) [-3772.461] (-3774.709) (-3769.172) -- 0:02:26
830000 -- (-3779.217) (-3770.282) (-3786.418) [-3776.233] * (-3762.184) (-3789.722) [-3768.996] (-3784.710) -- 0:02:25
Average standard deviation of split frequencies: 0.007413
831000 -- [-3766.686] (-3804.491) (-3766.979) (-3766.559) * (-3760.944) (-3783.471) [-3768.457] (-3779.211) -- 0:02:24
832000 -- [-3766.813] (-3786.781) (-3778.628) (-3787.339) * (-3771.295) (-3775.539) [-3772.436] (-3786.475) -- 0:02:23
833000 -- (-3767.647) (-3773.742) [-3759.486] (-3782.178) * (-3771.790) (-3772.920) (-3775.458) [-3767.072] -- 0:02:22
834000 -- [-3758.609] (-3776.500) (-3769.121) (-3797.178) * (-3768.545) (-3788.698) (-3774.693) [-3771.339] -- 0:02:21
835000 -- (-3776.677) [-3763.399] (-3771.275) (-3785.404) * [-3775.779] (-3761.402) (-3762.334) (-3786.453) -- 0:02:20
Average standard deviation of split frequencies: 0.007342
836000 -- (-3777.365) (-3776.567) [-3764.487] (-3759.042) * (-3782.883) (-3759.123) (-3778.930) [-3759.404] -- 0:02:20
837000 -- [-3765.868] (-3794.677) (-3770.115) (-3770.787) * (-3763.519) (-3773.731) [-3767.278] (-3768.587) -- 0:02:19
838000 -- (-3771.755) [-3762.957] (-3799.731) (-3767.016) * (-3794.542) (-3785.619) (-3780.514) [-3764.766] -- 0:02:18
839000 -- (-3783.066) (-3765.221) (-3795.603) [-3763.813] * (-3791.324) [-3775.619] (-3776.424) (-3771.380) -- 0:02:17
840000 -- (-3780.998) (-3780.678) (-3784.466) [-3770.413] * [-3778.358] (-3782.250) (-3781.023) (-3771.468) -- 0:02:16
Average standard deviation of split frequencies: 0.007348
841000 -- [-3771.698] (-3766.454) (-3785.542) (-3767.482) * [-3759.569] (-3767.839) (-3785.146) (-3768.400) -- 0:02:15
842000 -- (-3762.605) (-3770.363) (-3797.011) [-3764.986] * (-3786.086) [-3774.995] (-3790.139) (-3782.135) -- 0:02:14
843000 -- [-3772.978] (-3780.386) (-3793.461) (-3768.742) * (-3784.456) [-3773.248] (-3794.318) (-3781.407) -- 0:02:14
844000 -- [-3763.119] (-3780.855) (-3782.667) (-3763.787) * (-3771.524) [-3780.108] (-3758.063) (-3778.528) -- 0:02:13
845000 -- (-3764.955) (-3768.274) (-3776.867) [-3755.851] * [-3762.050] (-3778.942) (-3773.174) (-3795.229) -- 0:02:12
Average standard deviation of split frequencies: 0.007383
846000 -- (-3791.794) (-3769.178) [-3785.339] (-3772.669) * (-3775.379) (-3770.026) [-3754.402] (-3774.173) -- 0:02:11
847000 -- (-3776.568) (-3768.947) [-3769.105] (-3785.389) * (-3774.071) (-3769.849) [-3766.227] (-3791.922) -- 0:02:10
848000 -- (-3772.408) (-3777.891) [-3764.955] (-3772.825) * (-3783.617) [-3769.087] (-3767.987) (-3765.656) -- 0:02:09
849000 -- (-3772.722) (-3771.296) [-3760.827] (-3775.563) * (-3778.116) [-3759.615] (-3779.065) (-3776.379) -- 0:02:08
850000 -- (-3777.640) [-3770.838] (-3774.770) (-3776.016) * (-3765.548) [-3762.239] (-3786.268) (-3770.784) -- 0:02:08
Average standard deviation of split frequencies: 0.007447
851000 -- (-3762.491) (-3767.149) [-3759.757] (-3771.465) * [-3769.130] (-3752.408) (-3767.483) (-3786.188) -- 0:02:07
852000 -- (-3765.326) [-3769.855] (-3779.924) (-3773.914) * (-3763.692) (-3762.658) (-3766.528) [-3763.785] -- 0:02:06
853000 -- [-3767.101] (-3777.327) (-3774.696) (-3778.211) * (-3760.890) [-3757.511] (-3767.796) (-3770.143) -- 0:02:05
854000 -- (-3766.464) (-3771.387) [-3771.685] (-3772.032) * (-3770.253) [-3765.376] (-3760.635) (-3769.269) -- 0:02:04
855000 -- (-3767.407) (-3768.837) (-3774.734) [-3765.517] * (-3777.214) (-3778.325) [-3761.016] (-3780.320) -- 0:02:03
Average standard deviation of split frequencies: 0.007320
856000 -- (-3779.179) (-3766.786) [-3771.270] (-3787.198) * (-3767.911) (-3788.245) [-3769.906] (-3770.707) -- 0:02:02
857000 -- (-3765.559) (-3778.853) [-3760.293] (-3780.556) * (-3775.654) (-3783.470) [-3776.721] (-3779.686) -- 0:02:02
858000 -- (-3772.873) (-3781.132) (-3778.192) [-3765.273] * (-3782.153) (-3768.616) [-3765.234] (-3783.041) -- 0:02:01
859000 -- (-3774.180) [-3767.971] (-3777.123) (-3793.087) * (-3782.094) (-3779.086) (-3778.660) [-3760.939] -- 0:02:00
860000 -- (-3777.009) [-3768.362] (-3786.416) (-3770.045) * (-3791.133) (-3773.145) [-3771.877] (-3763.598) -- 0:01:59
Average standard deviation of split frequencies: 0.007257
861000 -- (-3762.429) (-3760.435) [-3763.159] (-3765.453) * (-3790.822) (-3776.105) [-3763.767] (-3769.495) -- 0:01:58
862000 -- [-3767.465] (-3771.285) (-3771.883) (-3780.588) * (-3778.497) [-3759.708] (-3771.615) (-3787.182) -- 0:01:57
863000 -- (-3773.867) (-3767.088) (-3766.973) [-3771.855] * (-3771.302) (-3769.982) [-3759.892] (-3781.103) -- 0:01:56
864000 -- (-3764.856) [-3769.707] (-3784.010) (-3792.936) * (-3791.745) [-3765.555] (-3770.399) (-3792.311) -- 0:01:56
865000 -- (-3771.759) (-3764.337) [-3776.860] (-3761.726) * [-3761.793] (-3786.816) (-3789.020) (-3778.678) -- 0:01:55
Average standard deviation of split frequencies: 0.007292
866000 -- (-3768.321) (-3786.407) [-3768.357] (-3774.995) * [-3761.957] (-3791.139) (-3799.217) (-3783.465) -- 0:01:54
867000 -- (-3771.738) (-3784.761) [-3764.295] (-3768.822) * (-3763.898) (-3781.539) (-3776.259) [-3771.364] -- 0:01:53
868000 -- (-3778.598) (-3773.487) (-3777.202) [-3774.085] * (-3777.015) (-3771.065) [-3768.692] (-3771.622) -- 0:01:52
869000 -- (-3786.977) [-3767.057] (-3771.519) (-3778.985) * (-3779.193) (-3791.305) (-3782.889) [-3759.453] -- 0:01:51
870000 -- [-3779.980] (-3769.945) (-3770.131) (-3778.907) * (-3785.402) (-3787.724) (-3779.358) [-3770.516] -- 0:01:51
Average standard deviation of split frequencies: 0.007196
871000 -- [-3761.738] (-3784.481) (-3776.471) (-3766.180) * (-3774.759) (-3769.244) (-3780.494) [-3762.925] -- 0:01:50
872000 -- (-3766.662) (-3791.662) [-3762.367] (-3773.479) * (-3803.455) [-3759.876] (-3781.877) (-3775.455) -- 0:01:49
873000 -- (-3777.303) (-3773.524) (-3774.587) [-3772.442] * (-3803.390) (-3781.799) (-3771.710) [-3767.968] -- 0:01:48
874000 -- [-3769.011] (-3786.763) (-3786.043) (-3768.836) * (-3788.609) (-3793.989) [-3786.711] (-3757.941) -- 0:01:47
875000 -- [-3766.990] (-3773.897) (-3784.916) (-3765.809) * (-3779.201) (-3773.149) (-3781.414) [-3767.015] -- 0:01:46
Average standard deviation of split frequencies: 0.007130
876000 -- (-3778.061) (-3769.913) [-3769.369] (-3779.026) * (-3778.305) [-3771.688] (-3776.161) (-3765.728) -- 0:01:45
877000 -- (-3765.744) [-3757.362] (-3760.252) (-3785.818) * (-3801.354) (-3775.681) [-3778.163] (-3778.755) -- 0:01:45
878000 -- (-3780.115) [-3761.335] (-3776.018) (-3776.366) * [-3775.473] (-3792.295) (-3779.441) (-3755.370) -- 0:01:44
879000 -- (-3774.009) [-3760.762] (-3790.896) (-3787.356) * [-3771.411] (-3784.493) (-3781.837) (-3791.624) -- 0:01:43
880000 -- (-3763.796) [-3765.098] (-3780.644) (-3781.993) * [-3766.037] (-3772.686) (-3793.784) (-3779.163) -- 0:01:42
Average standard deviation of split frequencies: 0.006959
881000 -- [-3774.480] (-3778.887) (-3787.050) (-3784.749) * (-3781.024) [-3764.032] (-3794.616) (-3792.170) -- 0:01:41
882000 -- [-3768.163] (-3780.453) (-3784.630) (-3761.232) * (-3790.108) [-3768.409] (-3763.452) (-3804.701) -- 0:01:40
883000 -- (-3788.383) (-3777.862) (-3777.004) [-3763.755] * (-3773.785) [-3770.752] (-3796.689) (-3774.441) -- 0:01:39
884000 -- (-3773.636) [-3768.130] (-3795.401) (-3769.418) * (-3778.848) (-3786.468) [-3757.217] (-3771.554) -- 0:01:39
885000 -- (-3770.863) (-3781.333) (-3782.743) [-3766.882] * [-3754.665] (-3786.948) (-3769.506) (-3760.613) -- 0:01:38
Average standard deviation of split frequencies: 0.006806
886000 -- (-3791.420) (-3784.374) [-3775.162] (-3762.904) * (-3775.550) (-3778.386) (-3769.727) [-3770.725] -- 0:01:37
887000 -- (-3771.379) (-3767.457) (-3776.756) [-3767.296] * (-3777.488) (-3773.858) [-3774.525] (-3771.331) -- 0:01:36
888000 -- (-3779.071) (-3771.987) (-3778.499) [-3757.340] * (-3771.966) (-3760.521) [-3763.907] (-3762.362) -- 0:01:35
889000 -- (-3792.387) (-3767.876) (-3779.714) [-3758.404] * (-3815.009) (-3777.013) [-3768.062] (-3768.031) -- 0:01:34
890000 -- (-3794.129) [-3768.055] (-3779.015) (-3766.225) * [-3768.548] (-3803.775) (-3762.379) (-3764.150) -- 0:01:33
Average standard deviation of split frequencies: 0.006870
891000 -- (-3799.737) [-3773.097] (-3782.510) (-3765.800) * (-3760.071) [-3766.059] (-3781.479) (-3779.297) -- 0:01:33
892000 -- (-3784.272) [-3773.435] (-3766.495) (-3765.568) * [-3760.235] (-3778.517) (-3777.514) (-3785.062) -- 0:01:32
893000 -- (-3775.995) (-3798.240) (-3768.933) [-3770.483] * (-3759.866) [-3783.364] (-3772.310) (-3771.597) -- 0:01:31
894000 -- (-3783.561) (-3786.477) (-3765.727) [-3764.762] * (-3760.619) (-3782.380) [-3767.888] (-3776.014) -- 0:01:30
895000 -- (-3783.514) (-3773.293) [-3785.641] (-3773.552) * [-3759.636] (-3770.929) (-3783.502) (-3762.104) -- 0:01:29
Average standard deviation of split frequencies: 0.006872
896000 -- (-3787.408) (-3779.347) [-3777.398] (-3771.565) * (-3770.800) (-3763.016) [-3774.025] (-3776.362) -- 0:01:28
897000 -- (-3767.434) [-3763.382] (-3785.578) (-3794.984) * (-3770.973) (-3775.214) [-3773.188] (-3776.164) -- 0:01:27
898000 -- [-3784.611] (-3772.118) (-3783.748) (-3799.121) * (-3781.443) (-3772.550) [-3770.509] (-3768.096) -- 0:01:27
899000 -- (-3773.392) [-3768.807] (-3775.326) (-3779.685) * (-3781.749) (-3772.420) [-3772.328] (-3769.173) -- 0:01:26
900000 -- (-3770.971) (-3788.484) (-3776.937) [-3767.345] * (-3780.746) [-3755.915] (-3773.807) (-3782.173) -- 0:01:25
Average standard deviation of split frequencies: 0.006728
901000 -- (-3789.574) [-3770.908] (-3761.971) (-3770.618) * (-3775.902) (-3777.407) [-3758.880] (-3771.197) -- 0:01:24
902000 -- (-3786.216) (-3776.725) (-3774.255) [-3769.349] * [-3765.727] (-3768.391) (-3764.631) (-3790.726) -- 0:01:23
903000 -- (-3773.562) (-3776.603) (-3772.030) [-3778.441] * (-3777.226) (-3794.957) (-3781.090) [-3761.477] -- 0:01:22
904000 -- (-3774.357) (-3775.161) (-3766.102) [-3765.062] * (-3792.528) (-3782.518) [-3771.547] (-3777.039) -- 0:01:21
905000 -- [-3768.127] (-3775.547) (-3778.140) (-3766.407) * (-3777.536) (-3775.605) [-3768.393] (-3769.245) -- 0:01:21
Average standard deviation of split frequencies: 0.006634
906000 -- (-3773.302) (-3765.943) (-3770.190) [-3769.358] * (-3792.072) (-3790.835) [-3763.999] (-3783.306) -- 0:01:20
907000 -- (-3786.127) [-3757.380] (-3776.320) (-3757.404) * (-3780.018) (-3781.640) [-3758.281] (-3779.069) -- 0:01:19
908000 -- (-3793.115) (-3778.255) (-3770.867) [-3754.389] * (-3778.568) (-3784.406) (-3766.367) [-3768.399] -- 0:01:18
909000 -- (-3787.825) [-3769.260] (-3775.369) (-3757.726) * (-3787.938) (-3780.315) (-3773.007) [-3765.027] -- 0:01:17
910000 -- (-3784.109) [-3769.305] (-3794.659) (-3777.618) * [-3766.478] (-3791.133) (-3775.701) (-3771.482) -- 0:01:16
Average standard deviation of split frequencies: 0.006913
911000 -- [-3782.599] (-3780.999) (-3797.854) (-3772.616) * (-3763.347) (-3775.399) (-3769.946) [-3771.773] -- 0:01:16
912000 -- (-3805.915) [-3774.515] (-3769.423) (-3770.418) * (-3767.290) (-3801.756) (-3771.403) [-3767.172] -- 0:01:15
913000 -- (-3804.401) (-3786.857) [-3763.454] (-3773.990) * (-3770.645) (-3764.881) (-3785.601) [-3768.877] -- 0:01:14
914000 -- (-3777.899) (-3763.620) [-3762.179] (-3786.400) * (-3778.011) (-3773.997) [-3775.985] (-3782.753) -- 0:01:13
915000 -- (-3761.606) [-3764.499] (-3773.640) (-3799.686) * (-3765.389) (-3770.195) [-3759.212] (-3798.562) -- 0:01:12
Average standard deviation of split frequencies: 0.006840
916000 -- (-3794.060) (-3774.420) [-3771.937] (-3778.135) * (-3775.506) (-3783.680) [-3756.413] (-3802.762) -- 0:01:11
917000 -- (-3784.351) [-3791.292] (-3780.341) (-3775.303) * (-3771.054) (-3789.580) [-3767.644] (-3787.301) -- 0:01:10
918000 -- (-3798.728) (-3781.884) (-3766.576) [-3782.287] * (-3776.593) [-3778.159] (-3758.503) (-3778.434) -- 0:01:10
919000 -- [-3778.415] (-3787.691) (-3785.795) (-3795.106) * (-3777.344) (-3768.413) [-3765.787] (-3782.476) -- 0:01:09
920000 -- (-3779.181) (-3778.172) [-3762.453] (-3770.449) * [-3776.064] (-3773.549) (-3782.574) (-3773.511) -- 0:01:08
Average standard deviation of split frequencies: 0.007030
921000 -- [-3768.541] (-3771.784) (-3779.816) (-3778.729) * (-3764.441) [-3760.322] (-3767.423) (-3772.195) -- 0:01:07
922000 -- [-3770.111] (-3766.316) (-3770.351) (-3777.338) * (-3776.181) (-3774.299) [-3764.813] (-3783.748) -- 0:01:06
923000 -- (-3777.244) (-3787.341) [-3772.571] (-3787.109) * [-3769.460] (-3784.742) (-3778.961) (-3771.402) -- 0:01:05
924000 -- [-3771.611] (-3789.126) (-3763.400) (-3769.689) * [-3757.859] (-3783.295) (-3804.294) (-3768.444) -- 0:01:04
925000 -- (-3779.968) (-3783.092) [-3767.617] (-3767.016) * (-3762.441) [-3758.642] (-3783.452) (-3783.223) -- 0:01:04
Average standard deviation of split frequencies: 0.006947
926000 -- [-3771.895] (-3768.306) (-3767.824) (-3805.460) * (-3774.926) [-3766.785] (-3783.618) (-3783.885) -- 0:01:03
927000 -- (-3771.258) (-3769.220) [-3769.875] (-3795.153) * [-3780.030] (-3792.246) (-3770.206) (-3780.652) -- 0:01:02
928000 -- [-3759.144] (-3773.572) (-3778.568) (-3789.154) * [-3766.072] (-3769.132) (-3767.379) (-3782.188) -- 0:01:01
929000 -- (-3769.209) (-3770.921) (-3786.474) [-3777.489] * [-3770.655] (-3778.858) (-3774.323) (-3795.355) -- 0:01:00
930000 -- (-3769.674) (-3765.675) (-3792.803) [-3767.882] * (-3784.520) [-3762.288] (-3777.684) (-3780.871) -- 0:00:59
Average standard deviation of split frequencies: 0.007207
931000 -- (-3779.061) (-3771.405) [-3774.495] (-3771.303) * (-3775.316) [-3773.128] (-3785.216) (-3786.864) -- 0:00:58
932000 -- (-3802.408) (-3773.839) (-3773.631) [-3763.365] * (-3773.986) (-3775.208) (-3779.144) [-3771.223] -- 0:00:58
933000 -- [-3770.977] (-3777.377) (-3796.214) (-3772.335) * (-3770.261) (-3780.273) [-3770.032] (-3785.509) -- 0:00:57
934000 -- (-3785.115) [-3763.223] (-3795.776) (-3769.853) * (-3773.560) (-3779.808) [-3772.395] (-3785.531) -- 0:00:56
935000 -- [-3777.052] (-3773.076) (-3783.979) (-3797.586) * (-3777.206) [-3761.843] (-3772.416) (-3784.346) -- 0:00:55
Average standard deviation of split frequencies: 0.006988
936000 -- (-3792.944) (-3773.721) [-3765.859] (-3786.690) * [-3774.477] (-3761.314) (-3795.712) (-3783.463) -- 0:00:54
937000 -- (-3790.889) [-3765.872] (-3776.593) (-3774.823) * (-3775.574) [-3766.605] (-3784.905) (-3778.401) -- 0:00:53
938000 -- (-3763.306) (-3773.012) [-3766.354] (-3777.599) * (-3764.189) [-3764.929] (-3768.164) (-3785.346) -- 0:00:52
939000 -- [-3768.569] (-3770.408) (-3778.799) (-3777.107) * (-3751.328) [-3759.722] (-3765.628) (-3786.923) -- 0:00:52
940000 -- (-3791.703) (-3766.336) (-3782.567) [-3764.524] * (-3759.965) [-3755.714] (-3771.864) (-3768.911) -- 0:00:51
Average standard deviation of split frequencies: 0.006849
941000 -- [-3760.367] (-3786.892) (-3766.799) (-3783.503) * [-3767.429] (-3781.211) (-3768.599) (-3776.544) -- 0:00:50
942000 -- [-3755.056] (-3779.201) (-3776.155) (-3775.046) * [-3771.325] (-3788.435) (-3796.039) (-3776.413) -- 0:00:49
943000 -- (-3774.517) [-3763.119] (-3783.643) (-3781.874) * (-3777.611) (-3803.044) [-3775.880] (-3772.917) -- 0:00:48
944000 -- [-3766.301] (-3766.005) (-3786.308) (-3774.320) * (-3782.920) (-3783.637) [-3769.796] (-3770.398) -- 0:00:47
945000 -- (-3769.453) (-3776.322) (-3798.786) [-3772.618] * [-3771.128] (-3801.922) (-3767.319) (-3778.694) -- 0:00:46
Average standard deviation of split frequencies: 0.006800
946000 -- (-3792.647) (-3778.993) (-3777.003) [-3774.987] * [-3765.490] (-3780.346) (-3770.719) (-3798.196) -- 0:00:46
947000 -- [-3769.942] (-3780.647) (-3779.404) (-3764.317) * (-3774.018) (-3788.066) [-3759.295] (-3772.561) -- 0:00:45
948000 -- (-3761.670) [-3761.132] (-3791.964) (-3781.500) * (-3772.700) (-3787.802) [-3762.052] (-3783.544) -- 0:00:44
949000 -- [-3760.447] (-3777.885) (-3784.411) (-3781.597) * (-3770.131) (-3775.278) [-3760.209] (-3775.530) -- 0:00:43
950000 -- (-3779.407) (-3769.416) [-3772.202] (-3777.350) * (-3773.254) [-3770.378] (-3765.732) (-3793.070) -- 0:00:42
Average standard deviation of split frequencies: 0.006839
951000 -- (-3758.751) (-3799.935) [-3764.596] (-3771.199) * (-3776.474) (-3796.434) [-3773.028] (-3776.674) -- 0:00:41
952000 -- (-3760.175) (-3791.918) (-3775.620) [-3761.608] * (-3767.068) (-3772.820) [-3764.373] (-3783.662) -- 0:00:40
953000 -- (-3758.534) [-3768.584] (-3775.140) (-3777.842) * [-3760.242] (-3780.122) (-3773.631) (-3778.009) -- 0:00:40
954000 -- [-3769.072] (-3781.669) (-3778.426) (-3784.187) * [-3765.055] (-3781.211) (-3771.212) (-3766.505) -- 0:00:39
955000 -- [-3776.776] (-3780.595) (-3777.928) (-3793.570) * [-3756.623] (-3769.827) (-3789.754) (-3778.138) -- 0:00:38
Average standard deviation of split frequencies: 0.006749
956000 -- [-3770.338] (-3776.419) (-3780.538) (-3770.222) * (-3766.540) [-3765.002] (-3795.684) (-3770.646) -- 0:00:37
957000 -- (-3765.729) (-3783.481) (-3787.642) [-3763.058] * (-3777.537) (-3768.272) (-3789.578) [-3773.585] -- 0:00:36
958000 -- [-3757.721] (-3779.322) (-3759.939) (-3785.052) * (-3771.283) (-3779.375) (-3785.218) [-3765.209] -- 0:00:35
959000 -- (-3767.109) (-3766.924) [-3766.471] (-3776.510) * [-3758.573] (-3778.926) (-3770.805) (-3785.669) -- 0:00:35
960000 -- (-3788.152) (-3782.030) [-3763.832] (-3774.594) * (-3770.824) (-3772.550) (-3789.226) [-3763.929] -- 0:00:34
Average standard deviation of split frequencies: 0.006911
961000 -- (-3773.502) (-3786.605) (-3770.336) [-3776.985] * (-3763.228) (-3786.113) [-3762.794] (-3775.222) -- 0:00:33
962000 -- (-3766.394) (-3760.598) [-3759.416] (-3787.574) * [-3762.781] (-3777.070) (-3771.739) (-3772.402) -- 0:00:32
963000 -- (-3781.244) (-3791.197) [-3764.457] (-3764.964) * [-3770.983] (-3773.910) (-3772.696) (-3779.466) -- 0:00:31
964000 -- (-3788.552) (-3783.796) [-3756.351] (-3771.245) * [-3771.719] (-3792.141) (-3765.731) (-3782.627) -- 0:00:30
965000 -- (-3797.611) (-3774.430) (-3759.426) [-3760.596] * (-3778.816) (-3788.443) [-3762.919] (-3765.937) -- 0:00:29
Average standard deviation of split frequencies: 0.006781
966000 -- [-3760.707] (-3776.886) (-3774.143) (-3787.585) * (-3793.160) (-3788.485) [-3760.134] (-3776.314) -- 0:00:29
967000 -- (-3773.402) (-3789.911) (-3780.607) [-3774.468] * (-3793.313) (-3783.401) (-3759.964) [-3780.835] -- 0:00:28
968000 -- (-3766.204) [-3771.946] (-3775.542) (-3776.516) * (-3764.071) (-3782.313) [-3773.858] (-3781.981) -- 0:00:27
969000 -- (-3773.408) [-3763.780] (-3779.625) (-3773.656) * (-3782.733) [-3766.665] (-3775.502) (-3776.098) -- 0:00:26
970000 -- (-3764.224) (-3768.959) [-3772.416] (-3779.737) * (-3781.251) (-3773.326) (-3769.317) [-3766.242] -- 0:00:25
Average standard deviation of split frequencies: 0.006597
971000 -- (-3764.612) (-3777.357) [-3766.566] (-3777.480) * (-3771.140) [-3765.516] (-3781.103) (-3779.913) -- 0:00:24
972000 -- [-3770.979] (-3770.661) (-3765.169) (-3782.462) * (-3759.495) [-3764.063] (-3767.906) (-3775.204) -- 0:00:23
973000 -- [-3772.351] (-3793.047) (-3774.874) (-3771.803) * (-3776.674) (-3772.836) [-3768.519] (-3773.976) -- 0:00:23
974000 -- (-3782.710) (-3780.512) [-3775.482] (-3776.824) * [-3770.038] (-3780.560) (-3784.635) (-3777.219) -- 0:00:22
975000 -- (-3772.002) (-3785.422) (-3779.202) [-3771.503] * [-3774.962] (-3784.412) (-3807.513) (-3768.145) -- 0:00:21
Average standard deviation of split frequencies: 0.006430
976000 -- [-3765.440] (-3777.422) (-3784.823) (-3779.766) * [-3759.430] (-3779.880) (-3788.880) (-3771.325) -- 0:00:20
977000 -- (-3778.711) (-3775.304) [-3768.574] (-3797.798) * (-3782.994) [-3770.276] (-3798.172) (-3771.621) -- 0:00:19
978000 -- (-3774.533) (-3794.647) [-3761.569] (-3778.076) * (-3782.683) (-3771.119) (-3798.239) [-3764.197] -- 0:00:18
979000 -- (-3767.989) (-3775.170) [-3771.819] (-3782.432) * (-3767.941) [-3773.007] (-3783.870) (-3763.198) -- 0:00:17
980000 -- [-3772.822] (-3788.680) (-3765.142) (-3793.502) * (-3776.050) [-3766.573] (-3772.799) (-3781.492) -- 0:00:17
Average standard deviation of split frequencies: 0.006329
981000 -- [-3764.375] (-3798.221) (-3774.281) (-3777.411) * (-3778.569) (-3780.522) [-3778.882] (-3776.246) -- 0:00:16
982000 -- [-3773.582] (-3803.504) (-3772.251) (-3772.965) * (-3760.974) [-3772.047] (-3767.418) (-3784.210) -- 0:00:15
983000 -- (-3762.908) (-3790.810) [-3765.234] (-3781.823) * (-3772.133) (-3772.798) [-3761.098] (-3770.532) -- 0:00:14
984000 -- [-3780.443] (-3776.934) (-3767.438) (-3785.966) * (-3775.837) (-3782.228) (-3795.343) [-3759.538] -- 0:00:13
985000 -- [-3763.957] (-3785.373) (-3779.365) (-3778.568) * (-3782.169) (-3778.623) (-3803.118) [-3770.207] -- 0:00:12
Average standard deviation of split frequencies: 0.006444
986000 -- [-3768.632] (-3789.288) (-3793.341) (-3771.497) * (-3768.254) [-3769.404] (-3789.346) (-3778.165) -- 0:00:11
987000 -- (-3782.837) [-3776.984] (-3775.953) (-3769.281) * (-3790.683) [-3767.099] (-3776.955) (-3785.627) -- 0:00:11
988000 -- (-3764.053) (-3791.315) [-3760.547] (-3766.182) * (-3776.303) (-3766.905) (-3777.213) [-3769.813] -- 0:00:10
989000 -- [-3773.779] (-3783.523) (-3765.640) (-3794.496) * [-3758.381] (-3784.241) (-3777.090) (-3773.102) -- 0:00:09
990000 -- [-3764.158] (-3773.008) (-3777.040) (-3788.880) * (-3798.959) [-3769.874] (-3774.889) (-3782.553) -- 0:00:08
Average standard deviation of split frequencies: 0.006711
991000 -- (-3765.303) [-3762.915] (-3777.853) (-3769.028) * (-3794.815) (-3777.633) [-3766.299] (-3793.404) -- 0:00:07
992000 -- (-3768.923) (-3765.822) [-3764.556] (-3788.334) * (-3776.126) [-3763.292] (-3784.537) (-3762.429) -- 0:00:06
993000 -- (-3754.034) (-3766.670) [-3774.529] (-3787.693) * (-3777.288) (-3775.649) [-3773.666] (-3767.856) -- 0:00:05
994000 -- (-3763.459) (-3783.074) (-3774.013) [-3766.514] * (-3768.754) (-3784.143) (-3783.448) [-3766.857] -- 0:00:05
995000 -- (-3772.087) (-3784.217) (-3775.854) [-3760.958] * (-3786.155) [-3769.271] (-3777.372) (-3770.691) -- 0:00:04
Average standard deviation of split frequencies: 0.006784
996000 -- (-3772.359) (-3786.802) [-3765.734] (-3772.585) * (-3769.177) (-3763.312) (-3790.171) [-3769.677] -- 0:00:03
997000 -- (-3768.205) (-3795.794) (-3778.189) [-3772.672] * [-3779.001] (-3772.353) (-3774.253) (-3771.407) -- 0:00:02
998000 -- [-3767.077] (-3785.776) (-3785.683) (-3778.706) * (-3768.166) [-3764.918] (-3781.562) (-3765.374) -- 0:00:01
999000 -- [-3764.076] (-3778.220) (-3783.483) (-3768.218) * (-3792.780) (-3775.844) (-3784.937) [-3756.230] -- 0:00:00
1000000 -- [-3762.729] (-3791.960) (-3766.846) (-3763.410) * (-3792.213) (-3785.189) [-3773.736] (-3777.362) -- 0:00:00
Average standard deviation of split frequencies: 0.006742
Analysis completed in 14 mins 14 seconds
Analysis used 852.88 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -3742.03
Likelihood of best state for "cold" chain of run 2 was -3742.28
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
44.0 % ( 33 %) Dirichlet(Revmat{all})
62.4 % ( 54 %) Slider(Revmat{all})
21.1 % ( 28 %) Dirichlet(Pi{all})
25.2 % ( 23 %) Slider(Pi{all})
62.9 % ( 40 %) Multiplier(Alpha{1,2})
49.8 % ( 31 %) Multiplier(Alpha{3})
47.3 % ( 18 %) Slider(Pinvar{all})
27.4 % ( 23 %) ExtSPR(Tau{all},V{all})
25.1 % ( 20 %) ExtTBR(Tau{all},V{all})
35.6 % ( 35 %) NNI(Tau{all},V{all})
20.0 % ( 12 %) ParsSPR(Tau{all},V{all})
27.0 % ( 18 %) Multiplier(V{all})
58.5 % ( 62 %) Nodeslider(V{all})
25.4 % ( 24 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
43.7 % ( 32 %) Dirichlet(Revmat{all})
62.0 % ( 49 %) Slider(Revmat{all})
21.5 % ( 22 %) Dirichlet(Pi{all})
25.6 % ( 29 %) Slider(Pi{all})
61.5 % ( 48 %) Multiplier(Alpha{1,2})
50.5 % ( 27 %) Multiplier(Alpha{3})
47.7 % ( 25 %) Slider(Pinvar{all})
27.1 % ( 29 %) ExtSPR(Tau{all},V{all})
25.2 % ( 21 %) ExtTBR(Tau{all},V{all})
35.5 % ( 46 %) NNI(Tau{all},V{all})
20.2 % ( 14 %) ParsSPR(Tau{all},V{all})
27.1 % ( 38 %) Multiplier(V{all})
58.6 % ( 52 %) Nodeslider(V{all})
25.5 % ( 31 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.54 0.24 0.08
2 | 167049 0.56 0.26
3 | 166468 166476 0.58
4 | 166859 166344 166804
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.54 0.23 0.08
2 | 166761 0.56 0.26
3 | 166694 166737 0.59
4 | 166871 166118 166819
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)
+------------------------------------------------------------+ -3763.46
| 1 1 |
| 2 |
| 1 1 2 |
| 1 1 1 1 |
| 2* 1 1 2 2 2 1 1|
| 2 1 111 2 *1 2 1 22 |
|1 1 1 2 2 1 1 1 22 1 1 |
| 2 2 1 1 2 1 121 |
| 1 21 2 221 1 2 22 * 21 1 2 2 1 |
| *1 2 1 2212 2 2 2 22 |
| 2 22 2 2 2|
| 1 2 1 * * 11 2 2 |
|2 2 2 1 11 1 1 |
| 1 1 2 2 2 1 |
| 2 1 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -3771.23
^ ^
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 -3753.67 -3787.00
2 -3755.27 -3790.99
--------------------------------------
TOTAL -3754.18 -3790.31
--------------------------------------
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} 0.181126 0.000354 0.144375 0.217206 0.180296 1259.91 1318.79 1.000
r(A<->C){all} 0.049774 0.000337 0.017584 0.086627 0.047594 725.07 860.15 1.001
r(A<->G){all} 0.202151 0.001173 0.138073 0.268161 0.199976 699.22 753.39 1.000
r(A<->T){all} 0.046335 0.000148 0.022206 0.069364 0.045577 993.11 1069.86 1.001
r(C<->G){all} 0.025039 0.000208 0.002044 0.053349 0.022332 558.05 735.53 1.001
r(C<->T){all} 0.607032 0.001838 0.517414 0.685254 0.607892 514.38 580.40 1.000
r(G<->T){all} 0.069669 0.000273 0.039676 0.104411 0.068402 693.29 859.61 1.000
pi(A){all} 0.289822 0.000115 0.268841 0.310410 0.289719 1047.54 1126.26 1.001
pi(C){all} 0.160126 0.000071 0.143867 0.176689 0.160078 1060.69 1133.02 1.000
pi(G){all} 0.214121 0.000092 0.196906 0.234182 0.213971 1057.84 1084.80 1.000
pi(T){all} 0.335932 0.000124 0.314484 0.356962 0.335826 1000.54 1067.76 1.000
alpha{1,2} 0.063229 0.001359 0.000531 0.123981 0.062800 992.62 1051.92 1.002
alpha{3} 4.543314 2.720973 1.791650 7.930719 4.273381 1374.80 1378.47 1.000
pinvar{all} 0.620657 0.002045 0.534610 0.709132 0.623213 1016.92 1141.24 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 -- C298
3 -- C85
4 -- C161
5 -- C237
6 -- C269
7 -- C47
8 -- C19
9 -- C22
10 -- C61
11 -- C4
12 -- C29
13 -- C182
14 -- C251
15 -- C192
16 -- C235
17 -- C66
18 -- C279
19 -- C94
20 -- C122
21 -- C64
22 -- C30
23 -- C130
24 -- C71
25 -- C8
26 -- C135
27 -- C134
28 -- C45
29 -- C83
30 -- C142
Key to taxon bipartitions (saved to file "/data/mrbayes_input.nex.parts"):
ID -- Partition
------------------------------------
1 -- .*****************************
2 -- .*............................
3 -- ..*...........................
4 -- ...*..........................
5 -- ....*.........................
6 -- .....*........................
7 -- ......*.......................
8 -- .......*......................
9 -- ........*.....................
10 -- .........*....................
11 -- ..........*...................
12 -- ...........*..................
13 -- ............*.................
14 -- .............*................
15 -- ..............*...............
16 -- ...............*..............
17 -- ................*.............
18 -- .................*............
19 -- ..................*...........
20 -- ...................*..........
21 -- ....................*.........
22 -- .....................*........
23 -- ......................*.......
24 -- .......................*......
25 -- ........................*.....
26 -- .........................*....
27 -- ..........................*...
28 -- ...........................*..
29 -- ............................*.
30 -- .............................*
31 -- ....**.......*.*...*..*..**...
32 -- ....**.....*.*.*...*..**.**..*
33 -- ....**.....*.*.*...**.**.**..*
34 -- ....**.....*****...**.**.**..*
35 -- .......*................*.....
36 -- ....**.....*.*.*...*..*..**...
37 -- ............*.*...............
38 -- ....**.....*.*.*...*..**.**...
39 -- ..*...............*...........
40 -- ...............*.........*....
41 -- .........*.......*............
42 -- .***..*.***.....***..*.....**.
43 -- ....*..........*.........*....
44 -- .*.........................*..
45 -- ..**..............*.........*.
46 -- ......................*...*...
47 -- .....*.......*.....*..*...*...
48 -- ........**.......*............
49 -- ..**..*...........*.........*.
50 -- ..**....**.......**.........*.
51 -- .******.****************.*****
52 -- ..**..*.**.......**.........*.
53 -- .***..*****.....***..*..*..**.
54 -- ....**.*...*****...**.*****..*
55 -- ..*...............*.........*.
56 -- ..**..............*...........
57 -- ...*........................*.
58 -- ....*..........*......*..**...
59 -- .....*.......*................
60 -- .............*.....*..........
61 -- .....*.......*.....*..........
62 -- .....*.............*..........
63 -- .....*.......*........*...*...
64 -- .............*........*...*...
65 -- .....*................*...*...
66 -- .....*.............*..*...*...
67 -- ...................*..*...*...
68 -- ................*....*........
69 -- .............*.....*..*...*...
70 -- ..**.....*.......**.........*.
71 -- ..........*..........*........
72 -- .***..*.**......***..*.....**.
73 -- ..**....*.........*.........*.
74 -- ..........*.....*.............
75 -- .***..*.***......**..*.....**.
76 -- .***..*.***.....***........**.
77 -- .*...................*.....*..
78 -- .*........*................*..
------------------------------------
Summary statistics for informative taxon bipartitions
(saved to file "/data/mrbayes_input.nex.tstat"):
ID #obs Probab. Sd(s)+ Min(s) Max(s) Nruns
----------------------------------------------------------------
31 3002 1.000000 0.000000 1.000000 1.000000 2
32 3002 1.000000 0.000000 1.000000 1.000000 2
33 3002 1.000000 0.000000 1.000000 1.000000 2
34 3002 1.000000 0.000000 1.000000 1.000000 2
35 3002 1.000000 0.000000 1.000000 1.000000 2
36 3002 1.000000 0.000000 1.000000 1.000000 2
37 2989 0.995670 0.001413 0.994670 0.996669 2
38 2966 0.988008 0.000942 0.987342 0.988674 2
39 2938 0.978681 0.006595 0.974017 0.983344 2
40 2920 0.972685 0.002827 0.970686 0.974684 2
41 2805 0.934377 0.008951 0.928048 0.940706 2
42 2778 0.925383 0.004711 0.922052 0.928714 2
43 2773 0.923718 0.006124 0.919387 0.928048 2
44 2219 0.739174 0.005182 0.735510 0.742838 2
45 2049 0.682545 0.001413 0.681546 0.683544 2
46 1958 0.652232 0.009422 0.645570 0.658894 2
47 1916 0.638241 0.008480 0.632245 0.644237 2
48 1594 0.530979 0.004711 0.527648 0.534310 2
49 1481 0.493338 0.013662 0.483678 0.502998 2
50 1182 0.393738 0.005653 0.389740 0.397735 2
51 1121 0.373418 0.012719 0.364424 0.382412 2
52 1008 0.335776 0.022612 0.319787 0.351765 2
53 956 0.318454 0.007537 0.313125 0.323784 2
54 920 0.306462 0.003769 0.303797 0.309127 2
55 873 0.290806 0.003298 0.288474 0.293138 2
56 860 0.286476 0.016017 0.275150 0.297801 2
57 828 0.275816 0.001884 0.274484 0.277149 2
58 567 0.188874 0.011777 0.180546 0.197202 2
59 550 0.183211 0.011306 0.175217 0.191206 2
60 543 0.180879 0.008009 0.175217 0.186542 2
61 529 0.176216 0.008951 0.169887 0.182545 2
62 525 0.174883 0.002355 0.173218 0.176549 2
63 400 0.133245 0.004711 0.129913 0.136576 2
64 387 0.128914 0.008009 0.123251 0.134577 2
65 368 0.122585 0.000000 0.122585 0.122585 2
66 363 0.120919 0.011777 0.112592 0.129247 2
67 363 0.120919 0.007066 0.115923 0.125916 2
68 356 0.118588 0.007537 0.113258 0.123917 2
69 353 0.117588 0.007066 0.112592 0.122585 2
70 344 0.114590 0.014133 0.104597 0.124584 2
71 341 0.113591 0.010835 0.105929 0.121252 2
72 337 0.112258 0.010835 0.104597 0.119920 2
73 323 0.107595 0.000471 0.107262 0.107928 2
74 318 0.105929 0.005653 0.101932 0.109927 2
75 314 0.104597 0.016959 0.092605 0.116589 2
76 312 0.103931 0.011306 0.095936 0.111925 2
77 306 0.101932 0.008480 0.095936 0.107928 2
78 286 0.095270 0.008480 0.089274 0.101266 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] 0.000663 0.000000 0.000001 0.001949 0.000460 1.000 2
length{all}[2] 0.002865 0.000002 0.000466 0.005710 0.002628 1.000 2
length{all}[3] 0.000664 0.000000 0.000000 0.001964 0.000451 1.001 2
length{all}[4] 0.000642 0.000000 0.000000 0.001940 0.000431 1.000 2
length{all}[5] 0.002179 0.000002 0.000268 0.004792 0.001934 1.000 2
length{all}[6] 0.000643 0.000000 0.000000 0.001901 0.000455 1.000 2
length{all}[7] 0.001051 0.000001 0.000001 0.002739 0.000826 1.000 2
length{all}[8] 0.002763 0.000002 0.000307 0.005450 0.002523 1.000 2
length{all}[9] 0.000703 0.000001 0.000000 0.002094 0.000487 1.000 2
length{all}[10] 0.001327 0.000001 0.000004 0.003171 0.001090 1.002 2
length{all}[11] 0.000653 0.000000 0.000000 0.002080 0.000439 1.000 2
length{all}[12] 0.005508 0.000004 0.001924 0.009450 0.005257 1.000 2
length{all}[13] 0.002676 0.000002 0.000255 0.005337 0.002405 1.000 2
length{all}[14] 0.000678 0.000000 0.000000 0.002075 0.000446 1.000 2
length{all}[15] 0.002684 0.000002 0.000462 0.005330 0.002471 1.000 2
length{all}[16] 0.005440 0.000004 0.002013 0.009479 0.005227 1.001 2
length{all}[17] 0.006151 0.000005 0.002630 0.010538 0.005828 1.000 2
length{all}[18] 0.002732 0.000002 0.000553 0.005613 0.002489 1.000 2
length{all}[19] 0.000678 0.000000 0.000000 0.002023 0.000470 1.000 2
length{all}[20] 0.002680 0.000002 0.000517 0.005317 0.002461 1.000 2
length{all}[21] 0.036178 0.000046 0.022617 0.049157 0.035696 1.000 2
length{all}[22] 0.000687 0.000000 0.000000 0.002094 0.000499 1.000 2
length{all}[23] 0.003479 0.000003 0.000869 0.006788 0.003233 1.001 2
length{all}[24] 0.006981 0.000005 0.002890 0.011344 0.006733 1.004 2
length{all}[25] 0.000678 0.000000 0.000000 0.002006 0.000481 1.000 2
length{all}[26] 0.002046 0.000002 0.000185 0.004488 0.001798 1.000 2
length{all}[27] 0.003516 0.000003 0.000625 0.006470 0.003293 1.002 2
length{all}[28] 0.001578 0.000001 0.000019 0.003653 0.001335 1.000 2
length{all}[29] 0.003389 0.000003 0.000848 0.006505 0.003133 1.004 2
length{all}[30] 0.006373 0.000006 0.002143 0.011340 0.006078 1.003 2
length{all}[31] 0.002956 0.000002 0.000542 0.005836 0.002717 1.000 2
length{all}[32] 0.013696 0.000015 0.005813 0.020785 0.013301 1.000 2
length{all}[33] 0.013025 0.000015 0.006239 0.020921 0.012670 1.001 2
length{all}[34] 0.006266 0.000005 0.002184 0.010488 0.006079 1.000 2
length{all}[35] 0.004718 0.000003 0.001534 0.008237 0.004507 1.000 2
length{all}[36] 0.003524 0.000003 0.000691 0.006641 0.003277 1.000 2
length{all}[37] 0.004003 0.000003 0.000732 0.007444 0.003755 1.000 2
length{all}[38] 0.004127 0.000004 0.000663 0.008412 0.003843 1.000 2
length{all}[39] 0.001349 0.000001 0.000045 0.003365 0.001118 1.000 2
length{all}[40] 0.001941 0.000002 0.000013 0.004293 0.001695 1.000 2
length{all}[41] 0.001365 0.000001 0.000009 0.003208 0.001137 1.000 2
length{all}[42] 0.001984 0.000001 0.000163 0.004256 0.001745 1.000 2
length{all}[43] 0.001604 0.000001 0.000035 0.003695 0.001340 1.000 2
length{all}[44] 0.001311 0.000001 0.000002 0.003225 0.001074 1.000 2
length{all}[45] 0.001282 0.000001 0.000001 0.003172 0.001046 1.000 2
length{all}[46] 0.001242 0.000001 0.000002 0.003169 0.001008 1.000 2
length{all}[47] 0.001360 0.000001 0.000056 0.003371 0.001126 1.000 2
length{all}[48] 0.001100 0.000001 0.000004 0.002752 0.000885 0.999 2
length{all}[49] 0.001365 0.000001 0.000024 0.003331 0.001148 0.999 2
length{all}[50] 0.001288 0.000001 0.000005 0.003206 0.001068 1.000 2
length{all}[51] 0.000952 0.000001 0.000001 0.002915 0.000623 1.001 2
length{all}[52] 0.001156 0.000001 0.000003 0.002930 0.000937 0.999 2
length{all}[53] 0.000675 0.000000 0.000001 0.002031 0.000474 0.999 2
length{all}[54] 0.000669 0.000000 0.000001 0.002122 0.000457 1.000 2
length{all}[55] 0.000705 0.000001 0.000001 0.002020 0.000484 0.999 2
length{all}[56] 0.000741 0.000001 0.000001 0.002158 0.000522 0.999 2
length{all}[57] 0.000675 0.000000 0.000000 0.002085 0.000471 0.999 2
length{all}[58] 0.001232 0.000001 0.000004 0.003048 0.001009 0.999 2
length{all}[59] 0.000670 0.000000 0.000002 0.002005 0.000472 0.999 2
length{all}[60] 0.000756 0.000001 0.000003 0.002213 0.000532 0.999 2
length{all}[61] 0.000829 0.000001 0.000001 0.002627 0.000534 0.999 2
length{all}[62] 0.000653 0.000000 0.000001 0.002046 0.000460 1.004 2
length{all}[63] 0.000691 0.000000 0.000001 0.002033 0.000492 0.999 2
length{all}[64] 0.000664 0.000000 0.000002 0.002128 0.000445 0.998 2
length{all}[65] 0.000631 0.000000 0.000005 0.001890 0.000435 0.997 2
length{all}[66] 0.000680 0.000001 0.000002 0.002151 0.000460 0.997 2
length{all}[67] 0.000749 0.000001 0.000001 0.002165 0.000525 0.997 2
length{all}[68] 0.000645 0.000000 0.000002 0.001867 0.000468 0.997 2
length{all}[69] 0.000631 0.000000 0.000006 0.001880 0.000423 0.997 2
length{all}[70] 0.000795 0.000001 0.000004 0.002339 0.000581 1.003 2
length{all}[71] 0.000672 0.000000 0.000003 0.001991 0.000480 0.998 2
length{all}[72] 0.000746 0.000001 0.000005 0.002202 0.000523 0.997 2
length{all}[73] 0.000791 0.000001 0.000001 0.002324 0.000562 0.997 2
length{all}[74] 0.000677 0.000001 0.000003 0.002223 0.000433 0.999 2
length{all}[75] 0.000679 0.000000 0.000004 0.001980 0.000487 0.997 2
length{all}[76] 0.000708 0.000000 0.000000 0.002096 0.000501 0.997 2
length{all}[77] 0.000654 0.000000 0.000005 0.002021 0.000420 0.997 2
length{all}[78] 0.000609 0.000000 0.000001 0.001940 0.000403 1.001 2
-------------------------------------------------------------------------------------------
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge. NA is reported when
deviation of parameter values within all runs is 0 or when a parameter
value (a branch length, for instance) is not sampled in all runs.
Summary statistics for partitions with frequency >= 0.10 in at least one run:
Average standard deviation of split frequencies = 0.006742
Maximum standard deviation of split frequencies = 0.022612
Average PSRF for parameter values (excluding NA and >10.0) = 1.000
Maximum PSRF for parameter values = 1.004
Clade credibility values:
/--------------------------------------------------------------------- C216 (1)
|
| /--------------- C237 (5)
| |
| /---92--+ /-------- C235 (16)
| | \--97--+
| | \-------- C135 (26)
| |
| /--100--+ /--------------- C269 (6)
| | | |
| | | |--------------- C251 (14)
| | | |
| | \---64--+--------------- C122 (20)
| /--100-+ |
| | | | /-------- C130 (23)
| | | \--65--+
| | | \-------- C134 (27)
| /---99--+ |
| | | \------------------------------- C29 (12)
| | |
| /--100--+ \-------------------------------------- C71 (24)
| | |
| /--100-+ \---------------------------------------------- C142 (30)
| | |
+ | \------------------------------------------------------ C64 (21)
|--100--+
| | /-------- C182 (13)
| \-------------------------100------------------------+
| \-------- C192 (15)
|
| /-------- C19 (8)
|-----------------------------100----------------------------+
| \-------- C8 (25)
|
| /-------- C298 (2)
| /------74------+
| | \-------- C45 (28)
| |
| | /-------- C85 (3)
| | /--98--+
| | | \-------- C94 (19)
| | |
| |---68--+--------------- C161 (4)
| | |
| | \--------------- C83 (29)
| |
| |----------------------- C47 (7)
\----------------------93---------------------+
| /--------------- C22 (9)
| |
|---53--+ /-------- C61 (10)
| \--93--+
| \-------- C279 (18)
|
|----------------------- C4 (11)
|
|----------------------- C66 (17)
|
\----------------------- C30 (22)
Phylogram (based on average branch lengths):
/- C216 (1)
|
| /-- C237 (5)
| |
| /-+ /------ C235 (16)
| | \-+
| | \-- C135 (26)
| |
| /---+/- C269 (6)
| | ||
| | ||- C251 (14)
| | ||
| | \+--- C122 (20)
| /---+ |
| | | | /---- C130 (23)
| | | \-+
| | | \---- C134 (27)
| /----+ |
| | | \------- C29 (12)
| | |
| /----------------+ \--------- C71 (24)
| | |
| /---------------+ \-------- C142 (30)
| | |
+ | \---------------------------------------------- C64 (21)
|-------+
| | /--- C182 (13)
| \----+
| \--- C192 (15)
|
| /--- C19 (8)
|-----+
| \ C8 (25)
|
| /--- C298 (2)
| /-+
| | \- C45 (28)
| |
| | /- C85 (3)
| | /+
| | |\- C94 (19)
| | |
| |-+ C161 (4)
| | |
| | \---- C83 (29)
| |
| |- C47 (7)
\-+
|/- C22 (9)
||
|+ /- C61 (10)
|\-+
| \--- C279 (18)
|
|- C4 (11)
|
|-------- C66 (17)
|
\- C30 (22)
|-----------| 0.010 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_nsp10_VIPR_ALG4_QEY10630_1_16091_17899_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Sat Nov 19 08:30:18 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp10_VIPR_ALG4_QEY10630_1_16091_17899_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/codeml,DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp10_VIPR_ALG4_QEY10630_1_16091_17899_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1--
CODONML in paml version 4.9h, March 2018
----------------------------------------------
Phe F TTT | Ser S TCT | Tyr Y TAT | Cys C TGT
TTC | TCC | TAC | TGC
Leu L TTA | TCA | *** * TAA | *** * TGA
TTG | TCG | TAG | Trp W TGG
----------------------------------------------
Leu L CTT | Pro P CCT | His H CAT | Arg R CGT
CTC | CCC | CAC | CGC
CTA | CCA | Gln Q CAA | CGA
CTG | CCG | CAG | CGG
----------------------------------------------
Ile I ATT | Thr T ACT | Asn N AAT | Ser S AGT
ATC | ACC | AAC | AGC
ATA | ACA | Lys K AAA | Arg R AGA
Met M ATG | ACG | AAG | AGG
----------------------------------------------
Val V GTT | Ala A GCT | Asp D GAT | Gly G GGT
GTC | GCC | GAC | GGC
GTA | GCA | Glu E GAA | GGA
GTG | GCG | GAG | GGG
----------------------------------------------
Nice code, uuh?
NSsites batch run (ncatG as in YNGP2000): 1 2 7 8
processing fasta file
reading seq# 1 C251 1809 sites
reading seq# 2 C235 1809 sites
reading seq# 3 C192 1809 sites
reading seq# 4 C4 1809 sites
reading seq# 5 C279 1809 sites
reading seq# 6 C66 1809 sites
reading seq# 7 C94 1809 sites
reading seq# 8 C182 1809 sites
reading seq# 9 C45 1809 sites
reading seq#10 C122 1809 sites
reading seq#11 C298 1809 sites
reading seq#12 C216 1809 sites
reading seq#13 C85 1809 sites
reading seq#14 C64 1809 sites
reading seq#15 C30 1809 sites
reading seq#16 C237 1809 sites
reading seq#17 C161 1809 sites
reading seq#18 C269 1809 sites
reading seq#19 C71 1809 sites
reading seq#20 C130 1809 sites
reading seq#21 C19 1809 sites
reading seq#22 C47 1809 sites
reading seq#23 C135 1809 sites
reading seq#24 C134 1809 sites
reading seq#25 C8 1809 sites
reading seq#26 C61 1809 sites
reading seq#27 C22 1809 sites
reading seq#28 C142 1809 sites
reading seq#29 C83 1809 sites
reading seq#30 C29 1809 sitesns = 30 ls = 1809
Reading sequences, sequential format..
Reading seq # 1: C251
Reading seq # 2: C235
Reading seq # 3: C192
Reading seq # 4: C4
Reading seq # 5: C279
Reading seq # 6: C66
Reading seq # 7: C94
Reading seq # 8: C182
Reading seq # 9: C45
Reading seq #10: C122
Reading seq #11: C298
Reading seq #12: C216
Reading seq #13: C85
Reading seq #14: C64
Reading seq #15: C30
Reading seq #16: C237
Reading seq #17: C161
Reading seq #18: C269
Reading seq #19: C71
Reading seq #20: C130
Reading seq #21: C19
Reading seq #22: C47
Reading seq #23: C135
Reading seq #24: C134
Reading seq #25: C8
Reading seq #26: C61
Reading seq #27: C22
Reading seq #28: C142
Reading seq #29: C83
Reading seq #30: C29
Sequences read..
Counting site patterns.. 0:00
Compressing, 200 patterns at 603 / 603 sites (100.0%), 0:00
Collecting fpatt[] & pose[], 200 patterns at 603 / 603 sites (100.0%), 0:00
Counting codons..
3480 bytes for distance
195200 bytes for conP
17600 bytes for fhK
5000000 bytes for space
Model 1: NearlyNeutral
TREE # 1
(12, (((((((16, (2, 23)), (18, 1, 10, (20, 24))), 30), 19), 28), 14), (8, 3)), (21, 25), ((11, 9), ((13, 7), 17, 29), 22, (27, (26, 5)), 4, 6, 15)); MP score: 196
1854400 bytes for conP, adjusted
0.058206 0.082289 0.023651 0.102600 0.099289 0.103937 0.073471 0.094310 0.024047 0.041373 0.032333 0.013220 0.038367 0.092354 0.039792 0.100180 0.061193 0.069262 0.075730 0.046585 0.065076 0.046898 0.025855 0.094661 0.089666 0.039871 0.088110 0.100942 0.082845 0.020511 0.062200 0.011352 0.099183 0.063244 0.039400 0.071363 0.060404 0.076381 0.084854 0.069635 0.057556 0.057231 0.079529 0.088603 0.049560 0.081502 0.064040 0.010421 0.300000 0.811364 0.114579
ntime & nrate & np: 48 2 51
Bounds (np=51):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.000010 0.000001
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 0.999990 1.000000
Qfactor_NS = 18.611230
np = 51
lnL0 = -4626.960982
Iterating by ming2
Initial: fx= 4626.960982
x= 0.05821 0.08229 0.02365 0.10260 0.09929 0.10394 0.07347 0.09431 0.02405 0.04137 0.03233 0.01322 0.03837 0.09235 0.03979 0.10018 0.06119 0.06926 0.07573 0.04658 0.06508 0.04690 0.02585 0.09466 0.08967 0.03987 0.08811 0.10094 0.08284 0.02051 0.06220 0.01135 0.09918 0.06324 0.03940 0.07136 0.06040 0.07638 0.08485 0.06964 0.05756 0.05723 0.07953 0.08860 0.04956 0.08150 0.06404 0.01042 0.30000 0.81136 0.11458
1 h-m-p 0.0000 0.0000 3530.1747 ++ 4310.867235 m 0.0000 56 | 1/51
2 h-m-p 0.0000 0.0000 6616.5268 +CYCYCCC 4190.572968 6 0.0000 121 | 1/51
3 h-m-p 0.0000 0.0001 1252.0728 ++ 4107.797088 m 0.0001 175 | 2/51
4 h-m-p 0.0000 0.0000 2697.8656 ++ 4057.685370 m 0.0000 229 | 2/51
5 h-m-p 0.0000 0.0000 44665.2488 ++ 4039.861797 m 0.0000 283 | 2/51
6 h-m-p 0.0000 0.0000 615534.1963 ++ 4030.264263 m 0.0000 337 | 3/51
7 h-m-p 0.0000 0.0000 2264655.3142 ++ 4027.656255 m 0.0000 391 | 4/51
8 h-m-p 0.0000 0.0000 3045.4362 ++ 3986.596179 m 0.0000 445 | 5/51
9 h-m-p 0.0000 0.0000 9199.8739 ++ 3969.687885 m 0.0000 499 | 5/51
10 h-m-p 0.0000 0.0000 16467.6995 ++ 3964.247355 m 0.0000 553 | 6/51
11 h-m-p 0.0000 0.0000 17009.5068 ++ 3959.303457 m 0.0000 607 | 6/51
12 h-m-p -0.0000 -0.0000 3434.6834
h-m-p: -0.00000000e+00 -0.00000000e+00 3.43468342e+03 3959.303457
.. | 6/51
13 h-m-p 0.0000 0.0000 236422.0665 -CCYYCYYCCC 3953.308108 9 0.0000 727 | 6/51
14 h-m-p 0.0000 0.0000 5051.8668 ++ 3878.340787 m 0.0000 781 | 7/51
15 h-m-p 0.0000 0.0000 1910.2846 ++ 3862.120723 m 0.0000 835 | 8/51
16 h-m-p 0.0000 0.0000 4007.7379 ++ 3834.693561 m 0.0000 889 | 9/51
17 h-m-p 0.0000 0.0000 4754.6393 ++ 3823.864303 m 0.0000 943 | 10/51
18 h-m-p 0.0000 0.0000 30583.6008 ++ 3768.515312 m 0.0000 997 | 10/51
19 h-m-p 0.0000 0.0000 21418.9947 +CYYYC 3761.743250 4 0.0000 1057 | 10/51
20 h-m-p 0.0000 0.0000 10938.0161 +YCYYCYCCC 3737.767933 8 0.0000 1124 | 10/51
21 h-m-p 0.0000 0.0000 25484.2744 +YCYCCC 3736.341114 5 0.0000 1187 | 10/51
22 h-m-p 0.0000 0.0000 27630.1970 +YYYCCCC 3726.976282 6 0.0000 1251 | 10/51
23 h-m-p 0.0000 0.0000 9347.1170 +YYCYC 3725.333118 4 0.0000 1311 | 10/51
24 h-m-p 0.0000 0.0000 10881.2475 YCYCCC 3721.320461 5 0.0000 1373 | 10/51
25 h-m-p 0.0000 0.0000 5766.9311 +YYCCC 3708.572283 4 0.0000 1434 | 10/51
26 h-m-p 0.0000 0.0000 2657.6934 +YYCCC 3703.916657 4 0.0000 1495 | 10/51
27 h-m-p 0.0000 0.0000 1330.5495 YCCCC 3701.664818 4 0.0000 1556 | 10/51
28 h-m-p 0.0000 0.0000 1759.7384 YCCC 3700.476347 3 0.0000 1615 | 10/51
29 h-m-p 0.0000 0.0000 1034.1330 CCCC 3699.455557 3 0.0000 1675 | 10/51
30 h-m-p 0.0000 0.0000 991.8980 +YCYCC 3696.796935 4 0.0000 1736 | 10/51
31 h-m-p 0.0000 0.0000 1458.6870 CCCC 3694.669345 3 0.0000 1796 | 10/51
32 h-m-p 0.0000 0.0000 1897.1187 YCCCC 3691.441377 4 0.0000 1857 | 10/51
33 h-m-p 0.0000 0.0000 3934.8987 YCYCCC 3686.430303 5 0.0000 1919 | 10/51
34 h-m-p 0.0000 0.0000 1414.3817 CCCC 3684.871961 3 0.0000 1979 | 10/51
35 h-m-p 0.0000 0.0001 1120.0640 +YYYC 3678.901569 3 0.0000 2037 | 10/51
36 h-m-p 0.0000 0.0000 4510.6153 +CYYYCCCC 3660.798387 7 0.0000 2103 | 10/51
37 h-m-p 0.0000 0.0000 18746.7125 +YYCCC 3649.452693 4 0.0000 2164 | 10/51
38 h-m-p 0.0000 0.0000 13404.8044 +YYCCC 3638.401854 4 0.0000 2225 | 10/51
39 h-m-p 0.0000 0.0000 6651.2064 +YCCCC 3630.351378 4 0.0000 2287 | 10/51
40 h-m-p 0.0000 0.0000 1089.8008 YCCCC 3629.382486 4 0.0000 2348 | 10/51
41 h-m-p 0.0000 0.0001 371.6605 CCC 3628.808605 2 0.0000 2406 | 10/51
42 h-m-p 0.0000 0.0001 420.8759 CCC 3628.198520 2 0.0000 2464 | 10/51
43 h-m-p 0.0000 0.0001 200.6576 YCC 3628.079333 2 0.0000 2521 | 10/51
44 h-m-p 0.0000 0.0005 53.9016 CC 3628.057206 1 0.0000 2577 | 10/51
45 h-m-p 0.0000 0.0003 37.5857 CC 3628.043052 1 0.0000 2633 | 10/51
46 h-m-p 0.0000 0.0008 24.6514 CC 3628.022864 1 0.0000 2689 | 10/51
47 h-m-p 0.0001 0.0019 15.7769 CCC 3627.975136 2 0.0001 2747 | 10/51
48 h-m-p 0.0000 0.0005 43.8413 +YCC 3627.700694 2 0.0001 2805 | 10/51
49 h-m-p 0.0000 0.0002 137.4654 +CYYCC 3625.444935 4 0.0001 2866 | 10/51
50 h-m-p 0.0000 0.0001 1325.5603 +YYCCC 3617.567093 4 0.0000 2927 | 10/51
51 h-m-p 0.0000 0.0000 1193.3487 CCC 3615.867197 2 0.0000 2985 | 10/51
52 h-m-p 0.0001 0.0003 140.6635 YCC 3615.629144 2 0.0000 3042 | 10/51
53 h-m-p 0.0003 0.0026 13.1277 C 3615.609562 0 0.0001 3096 | 10/51
54 h-m-p 0.0002 0.0044 6.0153 +YCCC 3614.988603 3 0.0013 3156 | 10/51
55 h-m-p 0.0000 0.0002 129.5533 YCCC 3614.106167 3 0.0001 3215 | 10/51
56 h-m-p 0.0497 0.2484 0.1724 +CCYC 3603.820845 3 0.1954 3275 | 10/51
57 h-m-p 0.0960 0.6804 0.3510 ++ 3585.805233 m 0.6804 3370 | 10/51
58 h-m-p 0.2480 1.2399 0.1799 CYCYYCC 3582.143590 6 0.0723 3475 | 10/51
59 h-m-p 0.1045 0.5227 0.1199 +YYYCCC 3575.608512 5 0.3942 3578 | 10/51
60 h-m-p 0.0565 0.2824 0.3409 +YYCCC 3571.103549 4 0.1946 3680 | 10/51
61 h-m-p 0.2134 1.4474 0.3110 +CYCCC 3562.774470 4 0.9765 3783 | 10/51
62 h-m-p 0.6197 3.0983 0.3031 YYCCC 3558.833576 4 0.9751 3884 | 10/51
63 h-m-p 0.5302 2.6511 0.3058 YCCCC 3555.024970 4 1.1561 3986 | 10/51
64 h-m-p 0.3646 1.8228 0.5022 YC 3552.463259 1 0.6458 4082 | 10/51
65 h-m-p 0.1921 0.9604 0.3073 +YYCCC 3550.853084 4 0.6293 4184 | 10/51
66 h-m-p 0.3797 1.8985 0.3595 CCCC 3549.784017 3 0.5024 4285 | 10/51
67 h-m-p 0.6454 4.5003 0.2798 YCCC 3548.761852 3 1.2266 4385 | 10/51
68 h-m-p 1.2080 6.0399 0.2803 YCCC 3548.414694 3 0.7178 4485 | 10/51
69 h-m-p 1.1070 6.8801 0.1817 CCC 3548.113857 2 1.3413 4584 | 10/51
70 h-m-p 1.6000 8.0000 0.0809 CC 3547.977191 1 1.5774 4681 | 10/51
71 h-m-p 1.6000 8.0000 0.0607 CC 3547.818763 1 2.0880 4778 | 10/51
72 h-m-p 1.6000 8.0000 0.0169 CCC 3547.693021 2 1.7914 4877 | 10/51
73 h-m-p 1.1025 8.0000 0.0275 CCC 3547.617740 2 1.3701 4976 | 10/51
74 h-m-p 1.3274 8.0000 0.0284 CC 3547.575706 1 1.6959 5073 | 10/51
75 h-m-p 1.6000 8.0000 0.0007 CC 3547.542111 1 2.0666 5170 | 10/51
76 h-m-p 0.0812 8.0000 0.0166 ++YC 3547.484909 1 3.1235 5268 | 10/51
77 h-m-p 1.6000 8.0000 0.0136 CC 3547.428600 1 2.0177 5365 | 10/51
78 h-m-p 1.6000 8.0000 0.0047 CC 3547.377581 1 1.9105 5462 | 10/51
79 h-m-p 1.0057 8.0000 0.0090 +YC 3547.341092 1 3.0937 5559 | 10/51
80 h-m-p 1.6000 8.0000 0.0050 YC 3547.281585 1 3.1338 5655 | 10/51
81 h-m-p 1.6000 8.0000 0.0083 YC 3547.191532 1 2.7833 5751 | 10/51
82 h-m-p 1.1644 8.0000 0.0199 YC 3547.101116 1 2.4527 5847 | 10/51
83 h-m-p 1.6000 8.0000 0.0072 CC 3547.047247 1 2.1865 5944 | 10/51
84 h-m-p 1.6000 8.0000 0.0085 CC 3547.026337 1 1.8376 6041 | 10/51
85 h-m-p 1.6000 8.0000 0.0013 YC 3547.012246 1 3.0699 6137 | 10/51
86 h-m-p 0.5534 8.0000 0.0073 +YC 3546.997293 1 4.4132 6234 | 10/51
87 h-m-p 1.6000 8.0000 0.0068 YC 3546.974457 1 3.2563 6330 | 10/51
88 h-m-p 1.6000 8.0000 0.0094 CC 3546.963348 1 2.2764 6427 | 10/51
89 h-m-p 1.6000 8.0000 0.0034 YC 3546.953556 1 3.1508 6523 | 10/51
90 h-m-p 1.6000 8.0000 0.0009 YC 3546.937496 1 3.7473 6619 | 10/51
91 h-m-p 0.6593 8.0000 0.0052 +CC 3546.925175 1 2.3787 6717 | 10/51
92 h-m-p 1.6000 8.0000 0.0023 YC 3546.912784 1 3.4254 6813 | 10/51
93 h-m-p 1.0358 8.0000 0.0076 +YC 3546.902553 1 2.7528 6910 | 10/51
94 h-m-p 1.6000 8.0000 0.0040 CC 3546.898118 1 2.3782 7007 | 10/51
95 h-m-p 1.6000 8.0000 0.0030 CC 3546.895610 1 2.2466 7104 | 10/51
96 h-m-p 1.6000 8.0000 0.0011 CC 3546.894484 1 2.1078 7201 | 10/51
97 h-m-p 1.6000 8.0000 0.0002 +YC 3546.892746 1 4.3700 7298 | 10/51
98 h-m-p 1.5805 8.0000 0.0007 ++ 3546.883800 m 8.0000 7393 | 10/51
99 h-m-p 1.6000 8.0000 0.0003 CC 3546.877558 1 2.0293 7490 | 10/51
100 h-m-p 0.1786 8.0000 0.0037 ++YC 3546.875290 1 2.1786 7588 | 10/51
101 h-m-p 1.6000 8.0000 0.0012 C 3546.874662 0 1.6555 7683 | 10/51
102 h-m-p 1.1743 8.0000 0.0017 +Y 3546.874284 0 3.8040 7779 | 10/51
103 h-m-p 1.6000 8.0000 0.0008 +YC 3546.873384 1 5.1448 7876 | 10/51
104 h-m-p 1.6000 8.0000 0.0007 YC 3546.872601 1 2.8623 7972 | 10/51
105 h-m-p 1.6000 8.0000 0.0007 C 3546.872418 0 1.4569 8067 | 10/51
106 h-m-p 1.6000 8.0000 0.0006 Y 3546.872369 0 3.0825 8162 | 10/51
107 h-m-p 1.6000 8.0000 0.0001 C 3546.872331 0 2.4812 8257 | 10/51
108 h-m-p 0.5832 8.0000 0.0004 +Y 3546.872288 0 4.0032 8353 | 10/51
109 h-m-p 1.6000 8.0000 0.0003 C 3546.872281 0 1.3210 8448 | 10/51
110 h-m-p 1.6000 8.0000 0.0002 C 3546.872280 0 1.6000 8543 | 10/51
111 h-m-p 1.3855 8.0000 0.0002 -C 3546.872280 0 0.0866 8639 | 10/51
112 h-m-p 0.3513 8.0000 0.0000 ---------------.. | 10/51
113 h-m-p 0.0001 0.0380 0.1734 -Y 3546.872280 0 0.0000 8843 | 10/51
114 h-m-p 0.0001 0.0436 0.1257 ---------.. | 10/51
115 h-m-p 0.0001 0.0605 0.0910 -C 3546.872280 0 0.0000 9041 | 10/51
116 h-m-p 0.0002 0.0837 0.0867 --C 3546.872280 0 0.0000 9138 | 10/51
117 h-m-p 0.0010 0.5066 0.0291 ------C 3546.872280 0 0.0000 9239 | 10/51
118 h-m-p 0.0004 0.2221 0.0653 -----------.. | 10/51
119 h-m-p 0.0001 0.0584 0.0522 --------C 3546.872280 0 0.0000 9446 | 10/51
120 h-m-p 0.0000 0.0027 1.0933 --------.. | 10/51
121 h-m-p 0.0000 0.0053 1.0872 Y 3546.872280 0 0.0000 9601 | 10/51
122 h-m-p 0.0001 0.0679 0.3498 ---C 3546.872280 0 0.0000 9658 | 10/51
123 h-m-p 0.0001 0.0447 0.1746 ---------.. | 10/51
124 h-m-p 0.0047 2.3640 0.6316 ----------C 3546.872280 0 0.0000 9865 | 10/51
125 h-m-p 0.0005 0.2324 6.2156 -----------.. | 10/51
126 h-m-p 0.0000 0.0168 0.4286 -----C 3546.872280 0 0.0000 10028 | 10/51
127 h-m-p 0.0002 0.1123 0.2350 ----------.. | 10/51
128 h-m-p 0.0047 2.3661 0.6321 ------------ | 10/51
129 h-m-p 0.0047 2.3661 0.6321 ------------
Out..
lnL = -3546.872280
10342 lfun, 31026 eigenQcodon, 992832 P(t)
end of tree file.
Time used: 7:47
Model 2: PositiveSelection
TREE # 1
(12, (((((((16, (2, 23)), (18, 1, 10, (20, 24))), 30), 19), 28), 14), (8, 3)), (21, 25), ((11, 9), ((13, 7), 17, 29), 22, (27, (26, 5)), 4, 6, 15)); MP score: 196
0.101507 0.101725 0.071716 0.093972 0.051643 0.075639 0.014234 0.053801 0.023268 0.104462 0.073149 0.044052 0.047417 0.031479 0.076721 0.088734 0.088251 0.105334 0.049029 0.108970 0.083944 0.035388 0.014477 0.058586 0.084737 0.041521 0.036197 0.081475 0.030351 0.046804 0.018013 0.076684 0.083938 0.036473 0.074683 0.032142 0.014767 0.081656 0.050075 0.062989 0.096828 0.101282 0.037987 0.065425 0.065534 0.010604 0.035293 0.072027 4.150295 1.197308 0.448979 0.188379 1.454612
ntime & nrate & np: 48 3 53
Bounds (np=53):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 -99.000000 -99.000000 0.000001 1.000000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 99.000000 99.000000 1.000000 999.000000
Qfactor_NS = 3.879480
np = 53
lnL0 = -4472.127275
Iterating by ming2
Initial: fx= 4472.127275
x= 0.10151 0.10173 0.07172 0.09397 0.05164 0.07564 0.01423 0.05380 0.02327 0.10446 0.07315 0.04405 0.04742 0.03148 0.07672 0.08873 0.08825 0.10533 0.04903 0.10897 0.08394 0.03539 0.01448 0.05859 0.08474 0.04152 0.03620 0.08148 0.03035 0.04680 0.01801 0.07668 0.08394 0.03647 0.07468 0.03214 0.01477 0.08166 0.05008 0.06299 0.09683 0.10128 0.03799 0.06543 0.06553 0.01060 0.03529 0.07203 4.15029 1.19731 0.44898 0.18838 1.45461
1 h-m-p 0.0000 0.0000 3237.6579 ++ 4256.686035 m 0.0000 111 | 1/53
2 h-m-p 0.0000 0.0000 3432.9499 ++ 4200.011766 m 0.0000 220 | 2/53
3 h-m-p 0.0000 0.0001 1558.2025 ++ 4114.298647 m 0.0001 328 | 3/53
4 h-m-p 0.0000 0.0000 2039.4123 ++ 4113.075520 m 0.0000 435 | 4/53
5 h-m-p 0.0000 0.0000 60442.0969 ++ 4109.842310 m 0.0000 541 | 5/53
6 h-m-p 0.0000 0.0002 1038.8531 ++ 4007.386918 m 0.0002 646 | 6/53
7 h-m-p 0.0000 0.0000 4698.6635 ++ 3999.752749 m 0.0000 750 | 7/53
8 h-m-p 0.0000 0.0000 4941.0668 ++ 3987.070691 m 0.0000 853 | 8/53
9 h-m-p 0.0000 0.0000 27372.0225 ++ 3955.556164 m 0.0000 955 | 9/53
10 h-m-p 0.0000 0.0000 3299.1129 ++ 3951.373145 m 0.0000 1056 | 10/53
11 h-m-p 0.0000 0.0000 4896.9378 ++ 3896.045058 m 0.0000 1156 | 10/53
12 h-m-p 0.0000 0.0000 23214.7479 +CCYC 3893.483173 3 0.0000 1261 | 10/53
13 h-m-p 0.0000 0.0000 16751.0529 +YYYCYCCC 3886.798893 7 0.0000 1371 | 10/53
14 h-m-p 0.0000 0.0000 6319.6730 +CYYCCCC 3878.953666 6 0.0000 1481 | 10/53
15 h-m-p 0.0000 0.0000 75272.7736 +CYYYCCCC 3868.112497 7 0.0000 1592 | 10/53
16 h-m-p 0.0000 0.0000 10730.8823 +YYCCC 3861.640181 4 0.0000 1698 | 10/53
17 h-m-p 0.0000 0.0000 3302.0250 +YYYYC 3851.222904 4 0.0000 1802 | 10/53
18 h-m-p 0.0000 0.0000 4310.7959 +YYC 3847.673474 2 0.0000 1904 | 10/53
19 h-m-p 0.0000 0.0000 4657.3896 YCCC 3846.290753 3 0.0000 2008 | 10/53
20 h-m-p 0.0000 0.0000 1544.2099 +CC 3844.190504 1 0.0000 2110 | 10/53
21 h-m-p 0.0000 0.0000 4017.7107 +YYYCCC 3842.397262 5 0.0000 2217 | 10/53
22 h-m-p 0.0000 0.0000 13204.4738 +YYYCCC 3835.584019 5 0.0000 2324 | 10/53
23 h-m-p 0.0000 0.0000 2577.0760 ++ 3817.296684 m 0.0000 2423 | 10/53
24 h-m-p 0.0000 0.0000 4160.0255 +YYCYCC 3808.296078 5 0.0000 2530 | 10/53
25 h-m-p 0.0000 0.0000 3341.7430 +YCYYYCYCCC 3781.968678 9 0.0000 2643 | 10/53
26 h-m-p 0.0000 0.0000 3949.6937 +YYYCCC 3772.585159 5 0.0000 2750 | 10/53
27 h-m-p 0.0000 0.0000 3448.7827 +YYCYCCC 3758.726795 6 0.0000 2859 | 10/53
28 h-m-p 0.0000 0.0000 11022.2674 +YCYYCCC 3747.139370 6 0.0000 2968 | 10/53
29 h-m-p 0.0000 0.0000 257771.5690 ++ 3732.708005 m 0.0000 3067 | 11/53
30 h-m-p 0.0000 0.0000 9351.5246 ++ 3731.410313 m 0.0000 3166 | 12/53
31 h-m-p 0.0000 0.0000 2483.8162 +YYCCC 3726.992997 4 0.0000 3271 | 12/53
32 h-m-p 0.0000 0.0000 14091.0411 +YYCCCC 3720.967714 5 0.0000 3377 | 12/53
33 h-m-p 0.0000 0.0000 9358.3082 +YYYCCC 3709.117915 5 0.0000 3482 | 12/53
34 h-m-p 0.0000 0.0000 3083.4247 YCCCC 3705.528009 4 0.0000 3586 | 12/53
35 h-m-p 0.0000 0.0001 875.9046 YCCCC 3701.913951 4 0.0000 3690 | 12/53
36 h-m-p 0.0000 0.0000 1733.4048 YCCC 3699.859922 3 0.0000 3792 | 12/53
37 h-m-p 0.0000 0.0001 1472.1962 YCCC 3694.920387 3 0.0000 3894 | 12/53
38 h-m-p 0.0000 0.0000 2837.3802 +YCYCCC 3687.192796 5 0.0000 4000 | 12/53
39 h-m-p 0.0000 0.0001 1963.6954 +YYCCC 3679.863057 4 0.0000 4104 | 12/53
40 h-m-p 0.0000 0.0001 1365.6626 +YYCCCC 3674.432518 5 0.0000 4210 | 12/53
41 h-m-p 0.0001 0.0003 427.0537 +YCYCCC 3666.637692 5 0.0002 4316 | 12/53
42 h-m-p 0.0000 0.0001 917.4238 CCCC 3665.654329 3 0.0000 4419 | 12/53
43 h-m-p 0.0000 0.0002 221.8423 CCCC 3665.059783 3 0.0000 4522 | 12/53
44 h-m-p 0.0000 0.0007 230.0080 +CYYC 3660.193750 3 0.0004 4625 | 12/53
45 h-m-p 0.0001 0.0003 110.0936 YYC 3659.932096 2 0.0001 4724 | 12/53
46 h-m-p 0.0001 0.0111 75.3252 ++++ 3622.324707 m 0.0111 4823 | 11/53
47 h-m-p 0.0000 0.0000 250.3407
h-m-p: 2.13436266e-23 1.06718133e-22 2.50340698e+02 3622.324707
.. | 11/53
48 h-m-p 0.0000 0.0000 13631.7643 CYYCYCCC 3616.235167 7 0.0000 5026 | 11/53
49 h-m-p 0.0000 0.0000 1726.4624 +YYCCC 3605.253232 4 0.0000 5131 | 11/53
50 h-m-p 0.0000 0.0000 1622.8247 +YYCCC 3598.084552 4 0.0000 5236 | 11/53
51 h-m-p 0.0000 0.0000 4511.6249 CC 3595.582498 1 0.0000 5336 | 11/53
52 h-m-p 0.0000 0.0000 1510.5553 YCCCC 3592.067066 4 0.0000 5441 | 11/53
53 h-m-p 0.0000 0.0000 1263.1692 +YYYYCC 3588.940826 5 0.0000 5546 | 11/53
54 h-m-p 0.0000 0.0000 2549.9405 +YYYCCC 3583.642121 5 0.0000 5652 | 11/53
55 h-m-p 0.0000 0.0000 5095.8075 +YCCC 3579.007059 3 0.0000 5756 | 11/53
56 h-m-p 0.0000 0.0000 7938.5518 YCYCCC 3571.573850 5 0.0000 5862 | 11/53
57 h-m-p 0.0000 0.0000 4907.2350 +YCYCCC 3566.636270 5 0.0000 5969 | 11/53
58 h-m-p 0.0000 0.0000 274.9407 YCCCC 3566.390121 4 0.0000 6074 | 11/53
59 h-m-p 0.0000 0.0001 267.5879 YC 3566.265365 1 0.0000 6173 | 11/53
60 h-m-p 0.0000 0.0001 69.0514 YC 3566.250229 1 0.0000 6272 | 11/53
61 h-m-p 0.0000 0.0004 42.0159 YC 3566.246343 1 0.0000 6371 | 11/53
62 h-m-p 0.0000 0.0006 21.4063 C 3566.243978 0 0.0000 6469 | 11/53
63 h-m-p 0.0000 0.0008 19.7537 C 3566.242388 0 0.0000 6567 | 11/53
64 h-m-p 0.0000 0.0019 17.3735 +YC 3566.238120 1 0.0000 6667 | 11/53
65 h-m-p 0.0000 0.0003 29.6239 YC 3566.236372 1 0.0000 6766 | 11/53
66 h-m-p 0.0000 0.0007 28.8786 CC 3566.233823 1 0.0000 6866 | 11/53
67 h-m-p 0.0000 0.0017 20.5356 CC 3566.230101 1 0.0000 6966 | 11/53
68 h-m-p 0.0000 0.0011 21.4441 CC 3566.223907 1 0.0000 7066 | 11/53
69 h-m-p 0.0000 0.0004 61.2062 YC 3566.210091 1 0.0000 7165 | 11/53
70 h-m-p 0.0000 0.0010 92.5407 YC 3566.180256 1 0.0000 7264 | 11/53
71 h-m-p 0.0000 0.0003 129.1390 YCC 3566.159326 2 0.0000 7365 | 11/53
72 h-m-p 0.0000 0.0008 99.7644 YC 3566.116793 1 0.0001 7464 | 11/53
73 h-m-p 0.0000 0.0008 332.4348 +YCCC 3565.762858 3 0.0001 7568 | 11/53
74 h-m-p 0.0000 0.0002 2344.3287 YC 3565.124166 1 0.0000 7667 | 11/53
75 h-m-p 0.0000 0.0001 2483.9833 YCCCC 3564.180858 4 0.0000 7772 | 11/53
76 h-m-p 0.0000 0.0001 6154.7698 YCCCC 3562.598667 4 0.0000 7877 | 11/53
77 h-m-p 0.0000 0.0001 10947.1724 CCCC 3560.371085 3 0.0000 7981 | 11/53
78 h-m-p 0.0000 0.0001 5538.3051 YCCCC 3559.412832 4 0.0000 8086 | 11/53
79 h-m-p 0.0000 0.0001 6842.9720 CCCC 3558.418268 3 0.0000 8190 | 11/53
80 h-m-p 0.0000 0.0000 1329.9154 YCC 3558.349915 2 0.0000 8291 | 11/53
81 h-m-p 0.0001 0.0003 45.8256 YC 3558.346640 1 0.0000 8390 | 11/53
82 h-m-p 0.0000 0.0014 14.3325 YC 3558.344532 1 0.0000 8489 | 11/53
83 h-m-p 0.0000 0.0024 8.6248 CC 3558.341287 1 0.0000 8589 | 11/53
84 h-m-p 0.0000 0.0011 21.4147 +CC 3558.323706 1 0.0001 8690 | 11/53
85 h-m-p 0.0000 0.0011 97.0266 ++YYC 3558.087054 2 0.0002 8792 | 11/53
86 h-m-p 0.0000 0.0001 929.9567 CCC 3557.825016 2 0.0000 8894 | 11/53
87 h-m-p 0.0000 0.0002 939.1854 YCCC 3557.201131 3 0.0001 8997 | 11/53
88 h-m-p 0.0000 0.0001 5192.1315 +YYCCC 3555.005324 4 0.0000 9102 | 11/53
89 h-m-p 0.1583 0.7916 0.1900 +YCYCCC 3551.022842 5 0.4602 9209 | 11/53
90 h-m-p 0.0924 0.4618 0.5081 +YCYCCC 3549.390908 5 0.2683 9316 | 11/53
91 h-m-p 0.1849 2.2458 0.7372 YCCC 3548.082417 3 0.4079 9419 | 11/53
92 h-m-p 0.5319 2.6596 0.3399 YCCC 3547.392086 3 1.0386 9522 | 11/53
93 h-m-p 0.8007 4.0033 0.1864 YCY 3547.223377 2 0.5214 9623 | 11/53
94 h-m-p 0.5438 3.2590 0.1787 CCC 3547.079024 2 0.7264 9725 | 11/53
95 h-m-p 1.2514 6.2572 0.0568 YCC 3547.021635 2 0.8557 9826 | 11/53
96 h-m-p 0.9604 8.0000 0.0506 CC 3546.981269 1 0.9719 9926 | 11/53
97 h-m-p 0.8443 8.0000 0.0582 YC 3546.931865 1 1.5883 10025 | 11/53
98 h-m-p 1.6000 8.0000 0.0484 CYC 3546.904699 2 1.4837 10126 | 11/53
99 h-m-p 1.6000 8.0000 0.0289 CC 3546.887149 1 1.5086 10226 | 11/53
100 h-m-p 0.9980 8.0000 0.0437 CC 3546.876362 1 1.3100 10326 | 11/53
101 h-m-p 1.6000 8.0000 0.0238 YC 3546.873538 1 0.9200 10425 | 11/53
102 h-m-p 1.6000 8.0000 0.0082 YC 3546.872803 1 1.0410 10524 | 11/53
103 h-m-p 1.5642 8.0000 0.0055 C 3546.872472 0 1.3405 10622 | 11/53
104 h-m-p 1.5721 8.0000 0.0047 C 3546.872341 0 1.3286 10720 | 11/53
105 h-m-p 1.6000 8.0000 0.0027 Y 3546.872304 0 1.1579 10818 | 11/53
106 h-m-p 1.6000 8.0000 0.0010 C 3546.872288 0 1.3133 10916 | 11/53
107 h-m-p 1.6000 8.0000 0.0007 C 3546.872283 0 1.5296 11014 | 11/53
108 h-m-p 1.6000 8.0000 0.0002 C 3546.872281 0 1.6000 11112 | 11/53
109 h-m-p 1.6000 8.0000 0.0002 Y 3546.872280 0 0.4000 11210 | 11/53
110 h-m-p 0.4196 8.0000 0.0002 ---------------.. | 11/53
111 h-m-p 0.0000 0.0241 0.2326 --Y 3546.872280 0 0.0000 11421 | 11/53
112 h-m-p 0.0002 0.0796 0.0903 -----Y 3546.872280 0 0.0000 11524 | 11/53
113 h-m-p 0.0000 0.0026 2.8085 --------.. | 11/53
114 h-m-p 0.0001 0.0324 0.1842 ---------
Out..
lnL = -3546.872280
11734 lfun, 46936 eigenQcodon, 1689696 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) = -3577.551956 S = -3501.999480 -98.651731
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 200 patterns 21:02
did 20 / 200 patterns 21:02
did 30 / 200 patterns 21:02
did 40 / 200 patterns 21:02
did 50 / 200 patterns 21:02
did 60 / 200 patterns 21:02
did 70 / 200 patterns 21:02
did 80 / 200 patterns 21:02
did 90 / 200 patterns 21:02
did 100 / 200 patterns 21:02
did 110 / 200 patterns 21:02
did 120 / 200 patterns 21:02
did 130 / 200 patterns 21:02
did 140 / 200 patterns 21:02
did 150 / 200 patterns 21:02
did 160 / 200 patterns 21:02
did 170 / 200 patterns 21:02
did 180 / 200 patterns 21:02
did 190 / 200 patterns 21:03
did 200 / 200 patterns 21:03end of tree file.
Time used: 21:03
Model 7: beta
TREE # 1
(12, (((((((16, (2, 23)), (18, 1, 10, (20, 24))), 30), 19), 28), 14), (8, 3)), (21, 25), ((11, 9), ((13, 7), 17, 29), 22, (27, (26, 5)), 4, 6, 15)); MP score: 196
0.071169 0.101028 0.018578 0.014567 0.078659 0.037489 0.063255 0.059645 0.059074 0.102774 0.092274 0.073053 0.042396 0.094078 0.074502 0.015888 0.092998 0.077644 0.092050 0.010781 0.054334 0.099886 0.050932 0.013719 0.089246 0.072640 0.061555 0.074830 0.033057 0.055965 0.093720 0.049067 0.051644 0.036954 0.085814 0.092741 0.071683 0.077960 0.062900 0.056820 0.025245 0.082713 0.093374 0.062950 0.025942 0.103726 0.088885 0.023128 4.150267 0.787931 1.794672
ntime & nrate & np: 48 1 51
Bounds (np=51):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.005000 0.005000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 99.000000 99.000000
Qfactor_NS = 6.142114
np = 51
lnL0 = -4631.890045
Iterating by ming2
Initial: fx= 4631.890045
x= 0.07117 0.10103 0.01858 0.01457 0.07866 0.03749 0.06325 0.05965 0.05907 0.10277 0.09227 0.07305 0.04240 0.09408 0.07450 0.01589 0.09300 0.07764 0.09205 0.01078 0.05433 0.09989 0.05093 0.01372 0.08925 0.07264 0.06156 0.07483 0.03306 0.05597 0.09372 0.04907 0.05164 0.03695 0.08581 0.09274 0.07168 0.07796 0.06290 0.05682 0.02525 0.08271 0.09337 0.06295 0.02594 0.10373 0.08889 0.02313 4.15027 0.78793 1.79467
1 h-m-p 0.0000 0.0001 2393.0454 ++ 4315.053976 m 0.0001 107 | 1/51
2 h-m-p 0.0000 0.0000 24957.2306 ++ 4253.588900 m 0.0000 212 | 2/51
3 h-m-p 0.0000 0.0000 620266.2999 ++ 4189.883188 m 0.0000 316 | 3/51
4 h-m-p 0.0000 0.0000 1655867.8777 ++ 4034.290048 m 0.0000 419 | 3/51
5 h-m-p 0.0000 0.0000 32640.8596 ++ 3989.288068 m 0.0000 521 | 3/51
6 h-m-p 0.0000 0.0000 26650.0567
h-m-p: 3.55009254e-22 1.77504627e-21 2.66500567e+04 3989.288068
.. | 3/51
7 h-m-p 0.0000 0.0000 7573.4782 +CYYYYY 3959.052102 5 0.0000 729 | 3/51
8 h-m-p 0.0000 0.0000 3007.1373 ++ 3889.765299 m 0.0000 831 | 2/51
9 h-m-p 0.0000 0.0000 11635.9765 ++ 3866.651831 m 0.0000 933 | 3/51
10 h-m-p 0.0000 0.0000 6992.7374 ++ 3861.478741 m 0.0000 1036 | 4/51
11 h-m-p 0.0000 0.0000 49261.3005 ++ 3841.521028 m 0.0000 1138 | 5/51
12 h-m-p 0.0000 0.0000 45304.4472 ++ 3818.555507 m 0.0000 1239 | 6/51
13 h-m-p 0.0000 0.0000 46200.4319 ++ 3776.777312 m 0.0000 1339 | 7/51
14 h-m-p 0.0000 0.0000 18796.4700 ++ 3747.205111 m 0.0000 1438 | 8/51
15 h-m-p 0.0000 0.0000 6939.0921 ++ 3743.276937 m 0.0000 1536 | 9/51
16 h-m-p 0.0000 0.0000 2866.9960 ++ 3729.371294 m 0.0000 1633 | 10/51
17 h-m-p 0.0000 0.0000 968.1603 +YYCCC 3722.713199 4 0.0000 1736 | 10/51
18 h-m-p 0.0000 0.0000 823.8835 +YYCCC 3721.387852 4 0.0000 1838 | 10/51
19 h-m-p 0.0000 0.0001 636.9415 YCCC 3718.902158 3 0.0000 1938 | 10/51
20 h-m-p 0.0000 0.0001 301.6773 CCC 3718.376694 2 0.0000 2037 | 10/51
21 h-m-p 0.0000 0.0001 253.0439 YCCC 3717.137289 3 0.0000 2137 | 10/51
22 h-m-p 0.0000 0.0001 615.0130 YCCCC 3715.427033 4 0.0000 2239 | 10/51
23 h-m-p 0.0000 0.0001 896.7084 YCCCC 3713.409252 4 0.0000 2341 | 10/51
24 h-m-p 0.0000 0.0000 1076.9472 YCCCC 3712.064026 4 0.0000 2443 | 10/51
25 h-m-p 0.0000 0.0000 2229.3037 YCYCCC 3708.306941 5 0.0000 2546 | 10/51
26 h-m-p 0.0000 0.0000 5320.5140 +YYCCC 3702.302321 4 0.0000 2648 | 10/51
27 h-m-p 0.0000 0.0000 6684.0727 +YCYCYC 3697.663784 5 0.0000 2751 | 10/51
28 h-m-p 0.0000 0.0000 18406.3502 +YCCC 3695.359380 3 0.0000 2852 | 10/51
29 h-m-p 0.0000 0.0000 4921.3580 +YYCYC 3692.199835 4 0.0000 2953 | 10/51
30 h-m-p 0.0000 0.0001 2202.1335 YCYCCC 3687.866806 5 0.0000 3056 | 10/51
31 h-m-p 0.0000 0.0000 9999.0770 +YYYCC 3684.380463 4 0.0000 3157 | 10/51
32 h-m-p 0.0000 0.0000 5267.6969 YCCCC 3680.485459 4 0.0000 3259 | 10/51
33 h-m-p 0.0000 0.0000 7817.4275 YCCC 3678.818248 3 0.0000 3359 | 10/51
34 h-m-p 0.0000 0.0000 2625.1845 +CCC 3677.848989 2 0.0000 3459 | 10/51
35 h-m-p 0.0000 0.0000 1928.1000 ++ 3677.209942 m 0.0000 3554 | 11/51
36 h-m-p 0.0000 0.0001 2522.3696 YCCC 3673.783522 3 0.0000 3654 | 11/51
37 h-m-p 0.0000 0.0000 4313.6060 YCCCC 3672.433043 4 0.0000 3755 | 11/51
38 h-m-p 0.0000 0.0000 2644.6183 +YYCCC 3669.807335 4 0.0000 3856 | 11/51
39 h-m-p 0.0000 0.0001 1620.5567 CYCCC 3667.817233 4 0.0000 3957 | 11/51
40 h-m-p 0.0000 0.0001 1033.0357 CCCC 3666.811379 3 0.0000 4057 | 11/51
41 h-m-p 0.0000 0.0000 572.2164 CCCC 3666.297340 3 0.0000 4157 | 11/51
42 h-m-p 0.0001 0.0004 99.6311 CC 3666.173682 1 0.0000 4253 | 11/51
43 h-m-p 0.0000 0.0004 107.9704 CC 3666.085916 1 0.0000 4349 | 11/51
44 h-m-p 0.0000 0.0007 76.1666 +YYC 3665.867775 2 0.0001 4446 | 11/51
45 h-m-p 0.0000 0.0003 520.3934 CCC 3665.593658 2 0.0000 4544 | 11/51
46 h-m-p 0.0000 0.0009 338.8019 ++CYCCC 3658.998451 4 0.0007 4647 | 11/51
47 h-m-p 0.0000 0.0000 1677.8534 YCYC 3658.248754 3 0.0000 4745 | 11/51
48 h-m-p 0.0000 0.0001 206.8107 CCC 3658.103040 2 0.0000 4843 | 11/51
49 h-m-p 0.0002 0.0239 26.6332 ++++ 3648.954087 m 0.0239 4939 | 10/51
50 h-m-p -0.0000 -0.0000 70431.1484
h-m-p: -3.53200163e-23 -1.76600082e-22 7.04311484e+04 3648.954087
.. | 10/51
51 h-m-p 0.0000 0.0000 21780.9952 CYYCYCCC 3641.957265 7 0.0000 5136 | 10/51
52 h-m-p 0.0000 0.0000 2680.3185 +YCYC 3629.239336 3 0.0000 5236 | 10/51
53 h-m-p 0.0000 0.0000 1255.9422 ++ 3620.349596 m 0.0000 5331 | 10/51
54 h-m-p 0.0000 0.0000 9043.9477 +YYCCC 3614.854876 4 0.0000 5433 | 10/51
55 h-m-p 0.0000 0.0000 4493.1871 +CYCCC 3609.238800 4 0.0000 5536 | 10/51
56 h-m-p 0.0000 0.0000 4753.9456 +YYYCYCYC 3602.741527 7 0.0000 5642 | 10/51
57 h-m-p 0.0000 0.0000 2081.8151 +YYCCCC 3601.989125 5 0.0000 5746 | 10/51
58 h-m-p 0.0000 0.0000 2255.9363 +YYCCCC 3592.847320 5 0.0000 5850 | 10/51
59 h-m-p 0.0000 0.0000 3609.6703 +YYYCCC 3581.427927 5 0.0000 5953 | 10/51
60 h-m-p 0.0000 0.0000 10347.1446 +YYYCYCYC 3566.673897 7 0.0000 6058 | 10/51
61 h-m-p 0.0000 0.0000 976.3070 CYCCC 3566.082967 4 0.0000 6160 | 10/51
62 h-m-p 0.0000 0.0001 179.8262 YC 3566.007829 1 0.0000 6256 | 10/51
63 h-m-p 0.0000 0.0001 91.9653 CYC 3565.973701 2 0.0000 6354 | 10/51
64 h-m-p 0.0000 0.0002 178.2639 CC 3565.909113 1 0.0000 6451 | 10/51
65 h-m-p 0.0000 0.0002 245.9532 CC 3565.814459 1 0.0000 6548 | 10/51
66 h-m-p 0.0000 0.0001 271.1046 YC 3565.762211 1 0.0000 6644 | 10/51
67 h-m-p 0.0000 0.0002 57.3246 CC 3565.748600 1 0.0000 6741 | 10/51
68 h-m-p 0.0000 0.0003 60.5056 CC 3565.736993 1 0.0000 6838 | 10/51
69 h-m-p 0.0000 0.0003 60.7261 CC 3565.725692 1 0.0000 6935 | 10/51
70 h-m-p 0.0000 0.0012 38.8627 YC 3565.720416 1 0.0000 7031 | 10/51
71 h-m-p 0.0000 0.0006 36.6555 CC 3565.714222 1 0.0000 7128 | 10/51
72 h-m-p 0.0000 0.0006 34.5291 CC 3565.709269 1 0.0000 7225 | 10/51
73 h-m-p 0.0000 0.0005 44.5337 CC 3565.703121 1 0.0000 7322 | 10/51
74 h-m-p 0.0000 0.0010 32.2467 CC 3565.693720 1 0.0000 7419 | 10/51
75 h-m-p 0.0000 0.0005 102.5012 CC 3565.681208 1 0.0000 7516 | 10/51
76 h-m-p 0.0000 0.0005 70.3857 YC 3565.672737 1 0.0000 7612 | 10/51
77 h-m-p 0.0000 0.0015 41.5838 CC 3565.665360 1 0.0000 7709 | 10/51
78 h-m-p 0.0000 0.0005 57.5780 CC 3565.656970 1 0.0000 7806 | 10/51
79 h-m-p 0.0000 0.0009 34.0417 YC 3565.651685 1 0.0000 7902 | 10/51
80 h-m-p 0.0000 0.0006 30.1346 YC 3565.646850 1 0.0000 7998 | 10/51
81 h-m-p 0.0001 0.0023 9.0159 CC 3565.638353 1 0.0001 8095 | 10/51
82 h-m-p 0.0000 0.0008 25.6925 YC 3565.607509 1 0.0000 8191 | 10/51
83 h-m-p 0.0000 0.0013 58.9139 ++YYC 3564.888673 2 0.0003 8290 | 10/51
84 h-m-p 0.0000 0.0002 448.8331 CCC 3563.769297 2 0.0001 8389 | 10/51
85 h-m-p 0.0000 0.0001 525.0373 YCYCCC 3562.797228 5 0.0000 8492 | 10/51
86 h-m-p 0.0000 0.0001 2264.0776 +YCCC 3559.693679 3 0.0000 8593 | 10/51
87 h-m-p 0.0000 0.0001 1259.8155 YCCCC 3557.652490 4 0.0000 8695 | 10/51
88 h-m-p 0.0001 0.0003 676.3152 CCC 3555.524604 2 0.0001 8794 | 10/51
89 h-m-p 0.0000 0.0001 567.1172 YCCCC 3554.940046 4 0.0000 8896 | 10/51
90 h-m-p 0.0016 0.0079 1.6135 -CC 3554.938533 1 0.0002 8994 | 10/51
91 h-m-p 0.0004 0.1836 1.9769 ++++CYC 3549.476309 2 0.0906 9096 | 10/51
92 h-m-p 0.4438 2.2191 0.1490 CCC 3548.101565 2 0.3697 9195 | 10/51
93 h-m-p 0.2444 1.7450 0.2253 YCCC 3547.422744 3 0.5916 9295 | 10/51
94 h-m-p 0.3280 1.6398 0.2128 CCCC 3547.187286 3 0.4104 9396 | 10/51
95 h-m-p 0.4696 3.4750 0.1860 CCC 3547.039540 2 0.6512 9495 | 10/51
96 h-m-p 0.5860 6.8916 0.2067 CCC 3546.969966 2 0.6592 9594 | 10/51
97 h-m-p 0.4903 7.7624 0.2779 +YCC 3546.843171 2 1.2567 9693 | 10/51
98 h-m-p 1.0485 5.4452 0.3331 CCC 3546.709707 2 1.3879 9792 | 10/51
99 h-m-p 0.9058 4.5290 0.2975 YYC 3546.642677 2 0.7066 9889 | 10/51
100 h-m-p 0.8591 4.2956 0.1189 CCC 3546.600865 2 0.3213 9988 | 10/51
101 h-m-p 1.6000 8.0000 0.0051 YCC 3546.523368 2 1.1114 10086 | 10/51
102 h-m-p 0.0660 6.0711 0.0865 ++CCC 3546.431328 2 1.1195 10187 | 10/51
103 h-m-p 1.4372 7.1862 0.0562 YCC 3546.386423 2 0.9466 10285 | 10/51
104 h-m-p 0.5129 8.0000 0.1037 CC 3546.372527 1 0.6912 10382 | 10/51
105 h-m-p 1.1054 8.0000 0.0648 YC 3546.367220 1 0.7691 10478 | 10/51
106 h-m-p 1.6000 8.0000 0.0060 YC 3546.366052 1 0.9492 10574 | 10/51
107 h-m-p 0.3122 8.0000 0.0182 +Y 3546.365814 0 0.9691 10670 | 10/51
108 h-m-p 1.6000 8.0000 0.0059 C 3546.365664 0 1.5569 10765 | 10/51
109 h-m-p 1.6000 8.0000 0.0052 C 3546.365616 0 1.5484 10860 | 10/51
110 h-m-p 1.6000 8.0000 0.0022 Y 3546.365606 0 0.9836 10955 | 10/51
111 h-m-p 1.6000 8.0000 0.0013 Y 3546.365603 0 0.9948 11050 | 10/51
112 h-m-p 1.6000 8.0000 0.0005 Y 3546.365602 0 1.1050 11145 | 10/51
113 h-m-p 0.4334 8.0000 0.0012 Y 3546.365601 0 0.9739 11240 | 10/51
114 h-m-p 1.6000 8.0000 0.0007 Y 3546.365601 0 1.1706 11335 | 10/51
115 h-m-p 1.6000 8.0000 0.0004 Y 3546.365601 0 1.1133 11430 | 10/51
116 h-m-p 1.6000 8.0000 0.0002 -Y 3546.365601 0 0.1000 11526 | 10/51
117 h-m-p 0.0296 8.0000 0.0006 Y 3546.365601 0 0.0074 11621 | 10/51
118 h-m-p 0.0160 8.0000 0.0004 -------------.. | 10/51
119 h-m-p 0.0000 0.0189 0.1786 ---------
Out..
lnL = -3546.365601
11830 lfun, 130130 eigenQcodon, 5678400 P(t)
end of tree file.
Time used: 1:05:37
Model 8: beta&w>1
TREE # 1
(12, (((((((16, (2, 23)), (18, 1, 10, (20, 24))), 30), 19), 28), 14), (8, 3)), (21, 25), ((11, 9), ((13, 7), 17, 29), 22, (27, (26, 5)), 4, 6, 15)); MP score: 196
0.027206 0.038963 0.021018 0.044696 0.052741 0.091461 0.045933 0.052437 0.084353 0.107286 0.077134 0.080999 0.035210 0.062410 0.035171 0.074501 0.024326 0.059111 0.053884 0.100325 0.034485 0.087245 0.058589 0.101940 0.046253 0.055737 0.013322 0.080543 0.052732 0.055217 0.029299 0.103931 0.034781 0.087755 0.101801 0.016071 0.051362 0.074615 0.017662 0.095785 0.074720 0.027978 0.050552 0.087990 0.075060 0.047569 0.036240 0.105942 4.129794 0.900000 0.444432 1.681172 1.300000
ntime & nrate & np: 48 2 53
Bounds (np=53):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.000010 0.005000 0.005000 1.000000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 0.999990 99.000000 99.000000 999.000000
Qfactor_NS = 6.024132
np = 53
lnL0 = -4378.510210
Iterating by ming2
Initial: fx= 4378.510210
x= 0.02721 0.03896 0.02102 0.04470 0.05274 0.09146 0.04593 0.05244 0.08435 0.10729 0.07713 0.08100 0.03521 0.06241 0.03517 0.07450 0.02433 0.05911 0.05388 0.10032 0.03449 0.08725 0.05859 0.10194 0.04625 0.05574 0.01332 0.08054 0.05273 0.05522 0.02930 0.10393 0.03478 0.08776 0.10180 0.01607 0.05136 0.07462 0.01766 0.09578 0.07472 0.02798 0.05055 0.08799 0.07506 0.04757 0.03624 0.10594 4.12979 0.90000 0.44443 1.68117 1.30000
1 h-m-p 0.0000 0.0000 2166.9392 ++ 4172.381163 m 0.0000 111 | 1/53
2 h-m-p 0.0000 0.0000 5455.3973 ++ 4066.693915 m 0.0000 220 | 2/53
3 h-m-p 0.0000 0.0000 18934991.7717 ++ 4057.166319 m 0.0000 328 | 3/53
4 h-m-p 0.0000 0.0000 22636.6694 ++ 3997.747497 m 0.0000 435 | 4/53
5 h-m-p 0.0000 0.0000 8282.2207 ++ 3907.362407 m 0.0000 541 | 5/53
6 h-m-p 0.0000 0.0000 5569.1144 ++ 3883.933317 m 0.0000 646 | 6/53
7 h-m-p 0.0000 0.0000 8211.9879 ++ 3873.189242 m 0.0000 750 | 7/53
8 h-m-p 0.0000 0.0000 6070.7295 ++ 3838.177428 m 0.0000 853 | 8/53
9 h-m-p 0.0000 0.0000 4395.4658 ++ 3795.205803 m 0.0000 955 | 9/53
10 h-m-p 0.0000 0.0000 5972.6723 ++ 3724.096625 m 0.0000 1056 | 9/53
11 h-m-p 0.0000 0.0000 4409.9859 ++ 3717.254907 m 0.0000 1156 | 10/53
12 h-m-p 0.0000 0.0000 44430.7946 +CYCYCCC 3691.173567 6 0.0000 1267 | 10/53
13 h-m-p 0.0000 0.0000 3693.8976 +YYCYCCC 3674.502025 6 0.0000 1376 | 10/53
14 h-m-p 0.0000 0.0000 18604.1956 +YYCYC 3670.604542 4 0.0000 1481 | 10/53
15 h-m-p 0.0000 0.0000 5350.4792 +YCYCC 3663.495035 4 0.0000 1587 | 10/53
16 h-m-p 0.0000 0.0000 6713.3740 +YCYCCC 3659.098238 5 0.0000 1695 | 10/53
17 h-m-p 0.0000 0.0000 5050.8644 +YCYCCC 3654.085428 5 0.0000 1803 | 10/53
18 h-m-p 0.0000 0.0000 4786.8721 YCYCCC 3650.040493 5 0.0000 1910 | 10/53
19 h-m-p 0.0000 0.0000 1920.3287 +YCYCCC 3645.764427 5 0.0000 2018 | 10/53
20 h-m-p 0.0000 0.0000 3079.5185 YCCCC 3642.617424 4 0.0000 2124 | 10/53
21 h-m-p 0.0000 0.0000 1630.2607 CCCC 3639.819589 3 0.0000 2229 | 10/53
22 h-m-p 0.0000 0.0000 1268.0412 +YYYCCC 3637.964353 5 0.0000 2336 | 10/53
23 h-m-p 0.0000 0.0000 4560.3306 YCCC 3635.977885 3 0.0000 2440 | 10/53
24 h-m-p 0.0000 0.0000 2207.4103 CCCC 3633.423865 3 0.0000 2545 | 10/53
25 h-m-p 0.0000 0.0000 2666.5950 YCYCCC 3629.010776 5 0.0000 2652 | 10/53
26 h-m-p 0.0000 0.0000 4627.5449 +YYYYC 3623.530697 4 0.0000 2756 | 10/53
27 h-m-p 0.0000 0.0000 2858.2377 +YYCCC 3622.008212 4 0.0000 2862 | 10/53
28 h-m-p 0.0000 0.0000 4572.5743 +YYYYCC 3620.056350 5 0.0000 2968 | 10/53
29 h-m-p 0.0000 0.0000 2790.8195 +YCYCC 3619.117983 4 0.0000 3074 | 10/53
30 h-m-p 0.0000 0.0000 1100.4613 YCCC 3618.722910 3 0.0000 3178 | 10/53
31 h-m-p 0.0000 0.0000 1028.0532 CCCC 3618.263142 3 0.0000 3283 | 10/53
32 h-m-p 0.0000 0.0000 1780.5571 CCCC 3617.388141 3 0.0000 3388 | 10/53
33 h-m-p 0.0000 0.0000 1257.0422 YCCCC 3614.757363 4 0.0000 3494 | 10/53
34 h-m-p 0.0000 0.0000 2757.5881 +YYYCCC 3605.165267 5 0.0000 3601 | 10/53
35 h-m-p 0.0000 0.0000 9067.9423 +YYC 3602.317316 2 0.0000 3703 | 10/53
36 h-m-p 0.0000 0.0000 849.7753 ++ 3601.593953 m 0.0000 3802 | 11/53
37 h-m-p 0.0000 0.0001 176.1955 CCCC 3601.312921 3 0.0000 3907 | 11/53
38 h-m-p 0.0000 0.0001 153.1063 +YYYC 3600.398057 3 0.0001 4009 | 11/53
39 h-m-p 0.0000 0.0001 472.6806 CCCC 3599.560126 3 0.0000 4113 | 11/53
40 h-m-p 0.0000 0.0001 417.0008 CCC 3599.070473 2 0.0000 4215 | 11/53
41 h-m-p 0.0000 0.0001 275.7047 YCCCC 3598.088391 4 0.0000 4320 | 11/53
42 h-m-p 0.0000 0.0002 190.9667 YCCCC 3596.354220 4 0.0001 4425 | 11/53
43 h-m-p 0.0001 0.0003 142.4134 CCCC 3594.790488 3 0.0001 4529 | 11/53
44 h-m-p 0.0000 0.0001 441.1515 +YYCYCC 3591.428881 5 0.0000 4635 | 11/53
45 h-m-p 0.0009 0.0047 14.0862 +YYYCCC 3587.835110 5 0.0034 4741 | 11/53
46 h-m-p 0.0071 0.0504 6.7563 CCC 3587.044023 2 0.0088 4843 | 11/53
47 h-m-p 0.0047 0.0846 12.4822 +YCCCC 3579.699442 4 0.0377 4949 | 11/53
48 h-m-p 0.0069 0.0344 4.3991 +YYCCC 3578.548988 4 0.0213 5054 | 10/53
49 h-m-p 0.0295 0.1792 3.1655 YCCY 3577.055803 3 0.0143 5157 | 10/53
50 h-m-p 0.0014 0.0072 4.6715 YYC 3576.911507 2 0.0019 5258 | 10/53
51 h-m-p 0.0002 0.0125 42.2522 ++CCYCCC 3568.132592 5 0.0087 5369 | 10/53
52 h-m-p 0.2308 1.1540 1.2264 CYCCC 3558.685362 4 0.4559 5475 | 10/53
53 h-m-p 0.1092 0.5459 1.1215 YCCC 3556.209392 3 0.2539 5579 | 10/53
54 h-m-p 0.0900 0.4502 0.9081 +YYCCC 3553.832810 4 0.3148 5685 | 10/53
55 h-m-p 0.2815 1.4077 0.8580 YCCCC 3551.283333 4 0.5899 5791 | 10/53
56 h-m-p 0.1601 0.8004 0.3740 +YC 3549.974048 1 0.4585 5892 | 10/53
57 h-m-p 0.1625 0.8123 0.5911 +CYC 3548.210650 2 0.6307 5995 | 10/53
58 h-m-p 0.0543 0.2715 0.1531 ++ 3547.665978 m 0.2715 6094 | 11/53
59 h-m-p 0.1110 0.5551 0.2388 +CYC 3547.216010 2 0.4278 6197 | 11/53
60 h-m-p 0.0508 0.2538 0.2184 ++ 3546.963309 m 0.2538 6295 | 12/53
61 h-m-p 0.6717 8.0000 0.0824 YCC 3546.850370 2 0.4027 6396 | 12/53
62 h-m-p 0.3810 8.0000 0.0871 CCC 3546.690407 2 0.5724 6497 | 12/53
63 h-m-p 1.6000 8.0000 0.0128 YYC 3546.611885 2 1.2328 6596 | 12/53
64 h-m-p 0.7739 8.0000 0.0204 +YC 3546.541927 1 2.0829 6695 | 12/53
65 h-m-p 1.6000 8.0000 0.0247 CYC 3546.489333 2 1.4238 6795 | 12/53
66 h-m-p 1.2634 8.0000 0.0279 C 3546.437975 0 1.2634 6892 | 12/53
67 h-m-p 0.7551 8.0000 0.0466 YC 3546.403101 1 1.5002 6990 | 12/53
68 h-m-p 0.9325 8.0000 0.0750 CC 3546.386103 1 1.3042 7089 | 12/53
69 h-m-p 1.6000 8.0000 0.0295 CC 3546.376050 1 1.3774 7188 | 12/53
70 h-m-p 1.6000 8.0000 0.0051 CC 3546.371565 1 1.4382 7287 | 12/53
71 h-m-p 1.6000 8.0000 0.0034 CC 3546.369108 1 1.3871 7386 | 12/53
72 h-m-p 1.4690 8.0000 0.0032 C 3546.368197 0 1.6624 7483 | 12/53
73 h-m-p 1.6000 8.0000 0.0021 C 3546.367678 0 1.4836 7580 | 12/53
74 h-m-p 0.8847 8.0000 0.0036 C 3546.367288 0 1.2053 7677 | 12/53
75 h-m-p 1.6000 8.0000 0.0023 C 3546.367071 0 1.7807 7774 | 12/53
76 h-m-p 1.6000 8.0000 0.0013 YC 3546.366842 1 3.0202 7872 | 12/53
77 h-m-p 1.6000 8.0000 0.0024 C 3546.366644 0 2.4376 7969 | 12/53
78 h-m-p 1.6000 8.0000 0.0032 C 3546.366490 0 2.1798 8066 | 12/53
79 h-m-p 1.6000 8.0000 0.0029 Y 3546.366378 0 2.8234 8163 | 12/53
80 h-m-p 1.6000 8.0000 0.0025 YC 3546.366252 1 3.4191 8261 | 12/53
81 h-m-p 1.6000 8.0000 0.0021 Y 3546.366170 0 2.9736 8358 | 12/53
82 h-m-p 1.6000 8.0000 0.0012 Y 3546.366113 0 3.5594 8455 | 12/53
83 h-m-p 1.1421 8.0000 0.0038 +C 3546.365965 0 4.9165 8553 | 12/53
84 h-m-p 1.6000 8.0000 0.0034 Y 3546.365869 0 2.7439 8650 | 12/53
85 h-m-p 1.6000 8.0000 0.0033 C 3546.365820 0 2.4353 8747 | 12/53
86 h-m-p 1.6000 8.0000 0.0024 Y 3546.365791 0 3.0849 8844 | 12/53
87 h-m-p 1.6000 8.0000 0.0006 C 3546.365778 0 2.3319 8941 | 12/53
88 h-m-p 0.6392 8.0000 0.0023 +Y 3546.365773 0 1.9074 9039 | 12/53
89 h-m-p 1.6000 8.0000 0.0012 C 3546.365770 0 2.1491 9136 | 12/53
90 h-m-p 1.6000 8.0000 0.0005 Y 3546.365769 0 1.0409 9233 | 12/53
91 h-m-p 0.7411 8.0000 0.0006 Y 3546.365769 0 0.5551 9330 | 12/53
92 h-m-p 1.6000 8.0000 0.0002 C 3546.365769 0 1.6000 9427 | 12/53
93 h-m-p 0.5934 8.0000 0.0004 +Y 3546.365769 0 1.6587 9525 | 12/53
94 h-m-p 1.6000 8.0000 0.0002 Y 3546.365769 0 1.6000 9622 | 12/53
95 h-m-p 1.6000 8.0000 0.0002 --Y 3546.365769 0 0.0250 9721 | 12/53
96 h-m-p 0.1123 8.0000 0.0000 -----C 3546.365769 0 0.0000 9823
Out..
lnL = -3546.365769
9824 lfun, 117888 eigenQcodon, 5187072 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) = -3588.454085 S = -3502.221926 -84.755923
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 200 patterns 1:46:28
did 20 / 200 patterns 1:46:28
did 30 / 200 patterns 1:46:28
did 40 / 200 patterns 1:46:28
did 50 / 200 patterns 1:46:29
did 60 / 200 patterns 1:46:29
did 70 / 200 patterns 1:46:29
did 80 / 200 patterns 1:46:29
did 90 / 200 patterns 1:46:29
did 100 / 200 patterns 1:46:30
did 110 / 200 patterns 1:46:30
did 120 / 200 patterns 1:46:30
did 130 / 200 patterns 1:46:30
did 140 / 200 patterns 1:46:30
did 150 / 200 patterns 1:46:31
did 160 / 200 patterns 1:46:31
did 170 / 200 patterns 1:46:31
did 180 / 200 patterns 1:46:31
did 190 / 200 patterns 1:46:31
did 200 / 200 patterns 1:46:32end of tree file.
Time used: 1:46:32
The loglikelihoods for models M1, M2, M7 and M8 are -3546.872280 -3546.872280 -3546.365601 -3546.365769 respectively
CLUSTAL W (1.8) multiple sequence alignment (ALTER 1.3.3)
TCG_2_nsp10_VIPR_ALG4_BBM61284_1_16052_17860_1_2006_12_Japan_Unknown_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
SHG_2_nsp10_VIPR_ALG4_BBM61204_1_16070_17878_1_2014_09_Japan_Unknown_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
OC43_human_USA_901_41_1990_nsp10_VIPR_ALG4_530802215_16081_17889_1_1990_01_17_USA_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
10574_2010_nsp10_VIPR_ALG4_701216890_16100_17908_1_2010_09_China_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
TNP_F1834_2_nsp10_VIPR_ALG4_AWW13548_1_16093_17901_1_2016_12_28_Cote_dIvoire_Chimpanzee_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
CC_23_nsp10_VIPR_ALG4_AXX83324_1_16022_17830_1_2015_07_13_China_Unknown_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
HCoV_OC43_Seattle_USA_SC831_2016_nsp10_VIPR_ALG4_APU51923_1_16081_17889_1_2016_USA_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
OC43_human_USA_872_5_1987_nsp10_VIPR_ALG4_530802445_16081_17889_1_1987_02_10_USA_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
69A_2007_nsp10_VIPR_ALG4_701216862_16100_17908_1_2007_05_China_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
IWT_18_nsp10_VIPR_ALG4_BBM61074_1_16077_17885_1_2016_12_Japan_Unknown_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
YC_55_nsp10_VIPR_ALG4_AXX83348_1_16004_17812_1_2015_03_12_China_Unknown_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
OC43_human_USA_991_5_1999_nsp10_VIPR_ALG4_530802390_16080_17888_1_1999_01_07_USA_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
HCoV_OC43_Seattle_USA_SC2269_2016_nsp10_VIPR_ALG4_ARA15417_1_16062_17870_1_2016_USA_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
CC14_nsp10_VIPR_ALG4_AVV64331_1_16098_17906_1_2014_03_China_Swine_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
5240_2007_nsp10_VIPR_ALG4_701216652_16100_17908_1_2007_05_China_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
SHG_3_nsp10_VIPR_ALG4_BBM61214_1_16077_17885_1_2014_12_Japan_Unknown_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
MY_U413_12_nsp10_VIPR_ALG4_AQN78677_1_16100_17908_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
TCG_6_nsp10_VIPR_ALG4_BBM61374_1_16077_17885_1_2007_12_Japan_Unknown_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
DcCoV_HKU23_camel_Nigeria_NV1010_2015_nsp10_VIPR_ALG4_QEY10638_1_16086_17894_1_2015_11_20_Nigeria_Camel_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
IWT_25_nsp10_VIPR_ALG4_BBM61164_1_16074_17882_1_2017_01_Japan_Unknown_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
3074A_2012_nsp10_VIPR_ALG4_701216687_16100_17908_1_2012_02_China_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
5595_2007_nsp10_VIPR_ALG4_701216848_16100_17908_1_2007_07_China_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
IWT_6_nsp10_VIPR_ALG4_BBM60994_1_16074_17882_1_2012_12_Japan_Unknown_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
IWT_3_nsp10_VIPR_ALG4_BBM60964_1_16077_17885_1_2011_06_Japan_Unknown_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
1783A_10_nsp10_VIPR_ALG4_744516694_16100_17908_1_2010_01_China_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
BJ_165_nsp10_VIPR_ALG4_AXX83312_1_16004_17812_1_2015_06_09_China_Unknown_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
3269A_2012_nsp10_VIPR_ALG4_701216694_16100_17908_1_2012_06_China_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
Kakegawa_nsp10_VIPR_ALG4_155369168_16101_17909_1_NA_Japan_Unknown_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
HCoV_OC43_Seattle_USA_SC0841_2019_nsp10_VIPR_ALG4_QEG03773_1_16098_17906_1_2019_USA_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNTPGCDVNDV
4_17_25_nsp10_VIPR_ALG4_AVZ61106_1_16101_17909_1_2017_04_USA_Cattle_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDV
***************************************************:********
TCG_2_nsp10_VIPR_ALG4_BBM61284_1_16052_17860_1_2006_12_Japan_Unknown_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGMVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
SHG_2_nsp10_VIPR_ALG4_BBM61204_1_16070_17878_1_2014_09_Japan_Unknown_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGMVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
OC43_human_USA_901_41_1990_nsp10_VIPR_ALG4_530802215_16081_17889_1_1990_01_17_USA_Human_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
10574_2010_nsp10_VIPR_ALG4_701216890_16100_17908_1_2010_09_China_Human_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
TNP_F1834_2_nsp10_VIPR_ALG4_AWW13548_1_16093_17901_1_2016_12_28_Cote_dIvoire_Chimpanzee_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
CC_23_nsp10_VIPR_ALG4_AXX83324_1_16022_17830_1_2015_07_13_China_Unknown_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
HCoV_OC43_Seattle_USA_SC831_2016_nsp10_VIPR_ALG4_APU51923_1_16081_17889_1_2016_USA_Human_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
OC43_human_USA_872_5_1987_nsp10_VIPR_ALG4_530802445_16081_17889_1_1987_02_10_USA_Human_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
69A_2007_nsp10_VIPR_ALG4_701216862_16100_17908_1_2007_05_China_Human_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
IWT_18_nsp10_VIPR_ALG4_BBM61074_1_16077_17885_1_2016_12_Japan_Unknown_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGMVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
YC_55_nsp10_VIPR_ALG4_AXX83348_1_16004_17812_1_2015_03_12_China_Unknown_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
OC43_human_USA_991_5_1999_nsp10_VIPR_ALG4_530802390_16080_17888_1_1999_01_07_USA_Human_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
HCoV_OC43_Seattle_USA_SC2269_2016_nsp10_VIPR_ALG4_ARA15417_1_16062_17870_1_2016_USA_Human_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
CC14_nsp10_VIPR_ALG4_AVV64331_1_16098_17906_1_2014_03_China_Swine_Betacoronavirus_1 TRLYLGGMSYYCEDHKPQYSFKLVMNGMVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
5240_2007_nsp10_VIPR_ALG4_701216652_16100_17908_1_2007_05_China_Human_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
SHG_3_nsp10_VIPR_ALG4_BBM61214_1_16077_17885_1_2014_12_Japan_Unknown_Betacoronavirus_1 TKLYLGGMSYYCEGHKPQYSFKLVMNGMVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
MY_U413_12_nsp10_VIPR_ALG4_AQN78677_1_16100_17908_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
TCG_6_nsp10_VIPR_ALG4_BBM61374_1_16077_17885_1_2007_12_Japan_Unknown_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGMVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
DcCoV_HKU23_camel_Nigeria_NV1010_2015_nsp10_VIPR_ALG4_QEY10638_1_16086_17894_1_2015_11_20_Nigeria_Camel_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGMVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
IWT_25_nsp10_VIPR_ALG4_BBM61164_1_16074_17882_1_2017_01_Japan_Unknown_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGMVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
3074A_2012_nsp10_VIPR_ALG4_701216687_16100_17908_1_2012_02_China_Human_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
5595_2007_nsp10_VIPR_ALG4_701216848_16100_17908_1_2007_07_China_Human_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
IWT_6_nsp10_VIPR_ALG4_BBM60994_1_16074_17882_1_2012_12_Japan_Unknown_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGMVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
IWT_3_nsp10_VIPR_ALG4_BBM60964_1_16077_17885_1_2011_06_Japan_Unknown_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGMVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
1783A_10_nsp10_VIPR_ALG4_744516694_16100_17908_1_2010_01_China_Human_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
BJ_165_nsp10_VIPR_ALG4_AXX83312_1_16004_17812_1_2015_06_09_China_Unknown_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
3269A_2012_nsp10_VIPR_ALG4_701216694_16100_17908_1_2012_06_China_Human_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
Kakegawa_nsp10_VIPR_ALG4_155369168_16101_17909_1_NA_Japan_Unknown_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGMVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
HCoV_OC43_Seattle_USA_SC0841_2019_nsp10_VIPR_ALG4_QEG03773_1_16098_17906_1_2019_USA_Human_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
4_17_25_nsp10_VIPR_ALG4_AVZ61106_1_16101_17909_1_2017_04_USA_Cattle_Betacoronavirus_1 TKLYLGGMSYYCEDHKPQYSFKLVMNGMVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDY
*:***********.*************:********************************
TCG_2_nsp10_VIPR_ALG4_BBM61284_1_16052_17860_1_2006_12_Japan_Unknown_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
SHG_2_nsp10_VIPR_ALG4_BBM61204_1_16070_17878_1_2014_09_Japan_Unknown_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
OC43_human_USA_901_41_1990_nsp10_VIPR_ALG4_530802215_16081_17889_1_1990_01_17_USA_Human_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
10574_2010_nsp10_VIPR_ALG4_701216890_16100_17908_1_2010_09_China_Human_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
TNP_F1834_2_nsp10_VIPR_ALG4_AWW13548_1_16093_17901_1_2016_12_28_Cote_dIvoire_Chimpanzee_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
CC_23_nsp10_VIPR_ALG4_AXX83324_1_16022_17830_1_2015_07_13_China_Unknown_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
HCoV_OC43_Seattle_USA_SC831_2016_nsp10_VIPR_ALG4_APU51923_1_16081_17889_1_2016_USA_Human_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
OC43_human_USA_872_5_1987_nsp10_VIPR_ALG4_530802445_16081_17889_1_1987_02_10_USA_Human_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
69A_2007_nsp10_VIPR_ALG4_701216862_16100_17908_1_2007_05_China_Human_Betacoronavirus_1 ILANECTERLKLFAEETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
IWT_18_nsp10_VIPR_ALG4_BBM61074_1_16077_17885_1_2016_12_Japan_Unknown_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
YC_55_nsp10_VIPR_ALG4_AXX83348_1_16004_17812_1_2015_03_12_China_Unknown_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
OC43_human_USA_991_5_1999_nsp10_VIPR_ALG4_530802390_16080_17888_1_1999_01_07_USA_Human_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
HCoV_OC43_Seattle_USA_SC2269_2016_nsp10_VIPR_ALG4_ARA15417_1_16062_17870_1_2016_USA_Human_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
CC14_nsp10_VIPR_ALG4_AVV64331_1_16098_17906_1_2014_03_China_Swine_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
5240_2007_nsp10_VIPR_ALG4_701216652_16100_17908_1_2007_05_China_Human_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
SHG_3_nsp10_VIPR_ALG4_BBM61214_1_16077_17885_1_2014_12_Japan_Unknown_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
MY_U413_12_nsp10_VIPR_ALG4_AQN78677_1_16100_17908_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
TCG_6_nsp10_VIPR_ALG4_BBM61374_1_16077_17885_1_2007_12_Japan_Unknown_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
DcCoV_HKU23_camel_Nigeria_NV1010_2015_nsp10_VIPR_ALG4_QEY10638_1_16086_17894_1_2015_11_20_Nigeria_Camel_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
IWT_25_nsp10_VIPR_ALG4_BBM61164_1_16074_17882_1_2017_01_Japan_Unknown_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
3074A_2012_nsp10_VIPR_ALG4_701216687_16100_17908_1_2012_02_China_Human_Betacoronavirus_1 ILANECTERLKLFAAESQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
5595_2007_nsp10_VIPR_ALG4_701216848_16100_17908_1_2007_07_China_Human_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
IWT_6_nsp10_VIPR_ALG4_BBM60994_1_16074_17882_1_2012_12_Japan_Unknown_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
IWT_3_nsp10_VIPR_ALG4_BBM60964_1_16077_17885_1_2011_06_Japan_Unknown_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
1783A_10_nsp10_VIPR_ALG4_744516694_16100_17908_1_2010_01_China_Human_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
BJ_165_nsp10_VIPR_ALG4_AXX83312_1_16004_17812_1_2015_06_09_China_Unknown_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
3269A_2012_nsp10_VIPR_ALG4_701216694_16100_17908_1_2012_06_China_Human_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
Kakegawa_nsp10_VIPR_ALG4_155369168_16101_17909_1_NA_Japan_Unknown_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
HCoV_OC43_Seattle_USA_SC0841_2019_nsp10_VIPR_ALG4_QEG03773_1_16098_17906_1_2019_USA_Human_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
4_17_25_nsp10_VIPR_ALG4_AVZ61106_1_16101_17909_1_2017_04_USA_Cattle_Betacoronavirus_1 ILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNY
************** *:*******************************************
TCG_2_nsp10_VIPR_ALG4_BBM61284_1_16052_17860_1_2006_12_Japan_Unknown_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
SHG_2_nsp10_VIPR_ALG4_BBM61204_1_16070_17878_1_2014_09_Japan_Unknown_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
OC43_human_USA_901_41_1990_nsp10_VIPR_ALG4_530802215_16081_17889_1_1990_01_17_USA_Human_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
10574_2010_nsp10_VIPR_ALG4_701216890_16100_17908_1_2010_09_China_Human_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
TNP_F1834_2_nsp10_VIPR_ALG4_AWW13548_1_16093_17901_1_2016_12_28_Cote_dIvoire_Chimpanzee_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
CC_23_nsp10_VIPR_ALG4_AXX83324_1_16022_17830_1_2015_07_13_China_Unknown_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
HCoV_OC43_Seattle_USA_SC831_2016_nsp10_VIPR_ALG4_APU51923_1_16081_17889_1_2016_USA_Human_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
OC43_human_USA_872_5_1987_nsp10_VIPR_ALG4_530802445_16081_17889_1_1987_02_10_USA_Human_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
69A_2007_nsp10_VIPR_ALG4_701216862_16100_17908_1_2007_05_China_Human_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
IWT_18_nsp10_VIPR_ALG4_BBM61074_1_16077_17885_1_2016_12_Japan_Unknown_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
YC_55_nsp10_VIPR_ALG4_AXX83348_1_16004_17812_1_2015_03_12_China_Unknown_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
OC43_human_USA_991_5_1999_nsp10_VIPR_ALG4_530802390_16080_17888_1_1999_01_07_USA_Human_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
HCoV_OC43_Seattle_USA_SC2269_2016_nsp10_VIPR_ALG4_ARA15417_1_16062_17870_1_2016_USA_Human_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
CC14_nsp10_VIPR_ALG4_AVV64331_1_16098_17906_1_2014_03_China_Swine_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
5240_2007_nsp10_VIPR_ALG4_701216652_16100_17908_1_2007_05_China_Human_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
SHG_3_nsp10_VIPR_ALG4_BBM61214_1_16077_17885_1_2014_12_Japan_Unknown_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
MY_U413_12_nsp10_VIPR_ALG4_AQN78677_1_16100_17908_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
TCG_6_nsp10_VIPR_ALG4_BBM61374_1_16077_17885_1_2007_12_Japan_Unknown_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
DcCoV_HKU23_camel_Nigeria_NV1010_2015_nsp10_VIPR_ALG4_QEY10638_1_16086_17894_1_2015_11_20_Nigeria_Camel_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
IWT_25_nsp10_VIPR_ALG4_BBM61164_1_16074_17882_1_2017_01_Japan_Unknown_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
3074A_2012_nsp10_VIPR_ALG4_701216687_16100_17908_1_2012_02_China_Human_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
5595_2007_nsp10_VIPR_ALG4_701216848_16100_17908_1_2007_07_China_Human_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
IWT_6_nsp10_VIPR_ALG4_BBM60994_1_16074_17882_1_2012_12_Japan_Unknown_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
IWT_3_nsp10_VIPR_ALG4_BBM60964_1_16077_17885_1_2011_06_Japan_Unknown_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
1783A_10_nsp10_VIPR_ALG4_744516694_16100_17908_1_2010_01_China_Human_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
BJ_165_nsp10_VIPR_ALG4_AXX83312_1_16004_17812_1_2015_06_09_China_Unknown_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
3269A_2012_nsp10_VIPR_ALG4_701216694_16100_17908_1_2012_06_China_Human_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
Kakegawa_nsp10_VIPR_ALG4_155369168_16101_17909_1_NA_Japan_Unknown_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
HCoV_OC43_Seattle_USA_SC0841_2019_nsp10_VIPR_ALG4_QEG03773_1_16098_17906_1_2019_USA_Human_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
4_17_25_nsp10_VIPR_ALG4_AVZ61106_1_16101_17909_1_2017_04_USA_Cattle_Betacoronavirus_1 VFTGYHFTKNGKTVLGEYIFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTL
******************:*****************************************
TCG_2_nsp10_VIPR_ALG4_BBM61284_1_16052_17860_1_2006_12_Japan_Unknown_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVYYCT
SHG_2_nsp10_VIPR_ALG4_BBM61204_1_16070_17878_1_2014_09_Japan_Unknown_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVYYCT
OC43_human_USA_901_41_1990_nsp10_VIPR_ALG4_530802215_16081_17889_1_1990_01_17_USA_Human_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCT
10574_2010_nsp10_VIPR_ALG4_701216890_16100_17908_1_2010_09_China_Human_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCT
TNP_F1834_2_nsp10_VIPR_ALG4_AWW13548_1_16093_17901_1_2016_12_28_Cote_dIvoire_Chimpanzee_Betacoronavirus_1 IPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCT
CC_23_nsp10_VIPR_ALG4_AXX83324_1_16022_17830_1_2015_07_13_China_Unknown_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCT
HCoV_OC43_Seattle_USA_SC831_2016_nsp10_VIPR_ALG4_APU51923_1_16081_17889_1_2016_USA_Human_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCT
OC43_human_USA_872_5_1987_nsp10_VIPR_ALG4_530802445_16081_17889_1_1987_02_10_USA_Human_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCT
69A_2007_nsp10_VIPR_ALG4_701216862_16100_17908_1_2007_05_China_Human_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCT
IWT_18_nsp10_VIPR_ALG4_BBM61074_1_16077_17885_1_2016_12_Japan_Unknown_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVYYCT
YC_55_nsp10_VIPR_ALG4_AXX83348_1_16004_17812_1_2015_03_12_China_Unknown_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCT
OC43_human_USA_991_5_1999_nsp10_VIPR_ALG4_530802390_16080_17888_1_1999_01_07_USA_Human_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCT
HCoV_OC43_Seattle_USA_SC2269_2016_nsp10_VIPR_ALG4_ARA15417_1_16062_17870_1_2016_USA_Human_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCT
CC14_nsp10_VIPR_ALG4_AVV64331_1_16098_17906_1_2014_03_China_Swine_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVYYCT
5240_2007_nsp10_VIPR_ALG4_701216652_16100_17908_1_2007_05_China_Human_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCT
SHG_3_nsp10_VIPR_ALG4_BBM61214_1_16077_17885_1_2014_12_Japan_Unknown_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVYYCT
MY_U413_12_nsp10_VIPR_ALG4_AQN78677_1_16100_17908_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCT
TCG_6_nsp10_VIPR_ALG4_BBM61374_1_16077_17885_1_2007_12_Japan_Unknown_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVYYCT
DcCoV_HKU23_camel_Nigeria_NV1010_2015_nsp10_VIPR_ALG4_QEY10638_1_16086_17894_1_2015_11_20_Nigeria_Camel_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVYYCT
IWT_25_nsp10_VIPR_ALG4_BBM61164_1_16074_17882_1_2017_01_Japan_Unknown_Betacoronavirus_1 VPQENYSSIRFASVYSVIETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVYYCT
3074A_2012_nsp10_VIPR_ALG4_701216687_16100_17908_1_2012_02_China_Human_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCT
5595_2007_nsp10_VIPR_ALG4_701216848_16100_17908_1_2007_07_China_Human_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCT
IWT_6_nsp10_VIPR_ALG4_BBM60994_1_16074_17882_1_2012_12_Japan_Unknown_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVYYCT
IWT_3_nsp10_VIPR_ALG4_BBM60964_1_16077_17885_1_2011_06_Japan_Unknown_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVYYCT
1783A_10_nsp10_VIPR_ALG4_744516694_16100_17908_1_2010_01_China_Human_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCT
BJ_165_nsp10_VIPR_ALG4_AXX83312_1_16004_17812_1_2015_06_09_China_Unknown_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCT
3269A_2012_nsp10_VIPR_ALG4_701216694_16100_17908_1_2012_06_China_Human_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCT
Kakegawa_nsp10_VIPR_ALG4_155369168_16101_17909_1_NA_Japan_Unknown_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVYYCT
HCoV_OC43_Seattle_USA_SC0841_2019_nsp10_VIPR_ALG4_QEG03773_1_16098_17906_1_2019_USA_Human_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCT
4_17_25_nsp10_VIPR_ALG4_AVZ61106_1_16101_17909_1_2017_04_USA_Cattle_Betacoronavirus_1 VPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVYYCT
:****************:**************************************:***
TCG_2_nsp10_VIPR_ALG4_BBM61284_1_16052_17860_1_2006_12_Japan_Unknown_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTIN
SHG_2_nsp10_VIPR_ALG4_BBM61204_1_16070_17878_1_2014_09_Japan_Unknown_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTIN
OC43_human_USA_901_41_1990_nsp10_VIPR_ALG4_530802215_16081_17889_1_1990_01_17_USA_Human_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTIN
10574_2010_nsp10_VIPR_ALG4_701216890_16100_17908_1_2010_09_China_Human_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTIN
TNP_F1834_2_nsp10_VIPR_ALG4_AWW13548_1_16093_17901_1_2016_12_28_Cote_dIvoire_Chimpanzee_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTIN
CC_23_nsp10_VIPR_ALG4_AXX83324_1_16022_17830_1_2015_07_13_China_Unknown_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTIN
HCoV_OC43_Seattle_USA_SC831_2016_nsp10_VIPR_ALG4_APU51923_1_16081_17889_1_2016_USA_Human_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTIN
OC43_human_USA_872_5_1987_nsp10_VIPR_ALG4_530802445_16081_17889_1_1987_02_10_USA_Human_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIIPAKVRVECYDKFKINDTTRKYVFTTIN
69A_2007_nsp10_VIPR_ALG4_701216862_16100_17908_1_2007_05_China_Human_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTIN
IWT_18_nsp10_VIPR_ALG4_BBM61074_1_16077_17885_1_2016_12_Japan_Unknown_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTIN
YC_55_nsp10_VIPR_ALG4_AXX83348_1_16004_17812_1_2015_03_12_China_Unknown_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTIN
OC43_human_USA_991_5_1999_nsp10_VIPR_ALG4_530802390_16080_17888_1_1999_01_07_USA_Human_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTIN
HCoV_OC43_Seattle_USA_SC2269_2016_nsp10_VIPR_ALG4_ARA15417_1_16062_17870_1_2016_USA_Human_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTIN
CC14_nsp10_VIPR_ALG4_AVV64331_1_16098_17906_1_2014_03_China_Swine_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTIN
5240_2007_nsp10_VIPR_ALG4_701216652_16100_17908_1_2007_05_China_Human_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTIN
SHG_3_nsp10_VIPR_ALG4_BBM61214_1_16077_17885_1_2014_12_Japan_Unknown_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTIN
MY_U413_12_nsp10_VIPR_ALG4_AQN78677_1_16100_17908_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTIN
TCG_6_nsp10_VIPR_ALG4_BBM61374_1_16077_17885_1_2007_12_Japan_Unknown_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTIN
DcCoV_HKU23_camel_Nigeria_NV1010_2015_nsp10_VIPR_ALG4_QEY10638_1_16086_17894_1_2015_11_20_Nigeria_Camel_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTIN
IWT_25_nsp10_VIPR_ALG4_BBM61164_1_16074_17882_1_2017_01_Japan_Unknown_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTIN
3074A_2012_nsp10_VIPR_ALG4_701216687_16100_17908_1_2012_02_China_Human_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIIPAKVRVECYDKFKINDTTRKYVFTTIN
5595_2007_nsp10_VIPR_ALG4_701216848_16100_17908_1_2007_07_China_Human_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTIN
IWT_6_nsp10_VIPR_ALG4_BBM60994_1_16074_17882_1_2012_12_Japan_Unknown_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTIN
IWT_3_nsp10_VIPR_ALG4_BBM60964_1_16077_17885_1_2011_06_Japan_Unknown_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTIN
1783A_10_nsp10_VIPR_ALG4_744516694_16100_17908_1_2010_01_China_Human_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIIPAKVRVECYDKFKINDTTRKYVFTTIN
BJ_165_nsp10_VIPR_ALG4_AXX83312_1_16004_17812_1_2015_06_09_China_Unknown_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTIN
3269A_2012_nsp10_VIPR_ALG4_701216694_16100_17908_1_2012_06_China_Human_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTIN
Kakegawa_nsp10_VIPR_ALG4_155369168_16101_17909_1_NA_Japan_Unknown_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTIN
HCoV_OC43_Seattle_USA_SC0841_2019_nsp10_VIPR_ALG4_QEG03773_1_16098_17906_1_2019_USA_Human_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTIN
4_17_25_nsp10_VIPR_ALG4_AVZ61106_1_16101_17909_1_2017_04_USA_Cattle_Betacoronavirus_1 ARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTIN
********************************:***************************
TCG_2_nsp10_VIPR_ALG4_BBM61284_1_16052_17860_1_2006_12_Japan_Unknown_Betacoronavirus_1 ALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
SHG_2_nsp10_VIPR_ALG4_BBM61204_1_16070_17878_1_2014_09_Japan_Unknown_Betacoronavirus_1 ALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLNKGTLEPKY
OC43_human_USA_901_41_1990_nsp10_VIPR_ALG4_530802215_16081_17889_1_1990_01_17_USA_Human_Betacoronavirus_1 ALPEMVTDIVIVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
10574_2010_nsp10_VIPR_ALG4_701216890_16100_17908_1_2010_09_China_Human_Betacoronavirus_1 ALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
TNP_F1834_2_nsp10_VIPR_ALG4_AWW13548_1_16093_17901_1_2016_12_28_Cote_dIvoire_Chimpanzee_Betacoronavirus_1 ALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
CC_23_nsp10_VIPR_ALG4_AXX83324_1_16022_17830_1_2015_07_13_China_Unknown_Betacoronavirus_1 ALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
HCoV_OC43_Seattle_USA_SC831_2016_nsp10_VIPR_ALG4_APU51923_1_16081_17889_1_2016_USA_Human_Betacoronavirus_1 ALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
OC43_human_USA_872_5_1987_nsp10_VIPR_ALG4_530802445_16081_17889_1_1987_02_10_USA_Human_Betacoronavirus_1 ALPEMVTDIVIVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
69A_2007_nsp10_VIPR_ALG4_701216862_16100_17908_1_2007_05_China_Human_Betacoronavirus_1 ALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
IWT_18_nsp10_VIPR_ALG4_BBM61074_1_16077_17885_1_2016_12_Japan_Unknown_Betacoronavirus_1 ALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
YC_55_nsp10_VIPR_ALG4_AXX83348_1_16004_17812_1_2015_03_12_China_Unknown_Betacoronavirus_1 ALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
OC43_human_USA_991_5_1999_nsp10_VIPR_ALG4_530802390_16080_17888_1_1999_01_07_USA_Human_Betacoronavirus_1 ALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
HCoV_OC43_Seattle_USA_SC2269_2016_nsp10_VIPR_ALG4_ARA15417_1_16062_17870_1_2016_USA_Human_Betacoronavirus_1 ALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
CC14_nsp10_VIPR_ALG4_AVV64331_1_16098_17906_1_2014_03_China_Swine_Betacoronavirus_1 ALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
5240_2007_nsp10_VIPR_ALG4_701216652_16100_17908_1_2007_05_China_Human_Betacoronavirus_1 ALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
SHG_3_nsp10_VIPR_ALG4_BBM61214_1_16077_17885_1_2014_12_Japan_Unknown_Betacoronavirus_1 ALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
MY_U413_12_nsp10_VIPR_ALG4_AQN78677_1_16100_17908_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 ALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
TCG_6_nsp10_VIPR_ALG4_BBM61374_1_16077_17885_1_2007_12_Japan_Unknown_Betacoronavirus_1 ALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
DcCoV_HKU23_camel_Nigeria_NV1010_2015_nsp10_VIPR_ALG4_QEY10638_1_16086_17894_1_2015_11_20_Nigeria_Camel_Betacoronavirus_1 ALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
IWT_25_nsp10_VIPR_ALG4_BBM61164_1_16074_17882_1_2017_01_Japan_Unknown_Betacoronavirus_1 ALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
3074A_2012_nsp10_VIPR_ALG4_701216687_16100_17908_1_2012_02_China_Human_Betacoronavirus_1 ALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
5595_2007_nsp10_VIPR_ALG4_701216848_16100_17908_1_2007_07_China_Human_Betacoronavirus_1 ALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
IWT_6_nsp10_VIPR_ALG4_BBM60994_1_16074_17882_1_2012_12_Japan_Unknown_Betacoronavirus_1 ALPEMVADIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
IWT_3_nsp10_VIPR_ALG4_BBM60964_1_16077_17885_1_2011_06_Japan_Unknown_Betacoronavirus_1 ALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
1783A_10_nsp10_VIPR_ALG4_744516694_16100_17908_1_2010_01_China_Human_Betacoronavirus_1 ALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
BJ_165_nsp10_VIPR_ALG4_AXX83312_1_16004_17812_1_2015_06_09_China_Unknown_Betacoronavirus_1 ALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
3269A_2012_nsp10_VIPR_ALG4_701216694_16100_17908_1_2012_06_China_Human_Betacoronavirus_1 ALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
Kakegawa_nsp10_VIPR_ALG4_155369168_16101_17909_1_NA_Japan_Unknown_Betacoronavirus_1 ALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
HCoV_OC43_Seattle_USA_SC0841_2019_nsp10_VIPR_ALG4_QEG03773_1_16098_17906_1_2019_USA_Human_Betacoronavirus_1 ALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
4_17_25_nsp10_VIPR_ALG4_AVZ61106_1_16101_17909_1_2017_04_USA_Cattle_Betacoronavirus_1 ALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKY
******:***:****************************************.********
TCG_2_nsp10_VIPR_ALG4_BBM61284_1_16052_17860_1_2006_12_Japan_Unknown_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
SHG_2_nsp10_VIPR_ALG4_BBM61204_1_16070_17878_1_2014_09_Japan_Unknown_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
OC43_human_USA_901_41_1990_nsp10_VIPR_ALG4_530802215_16081_17889_1_1990_01_17_USA_Human_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
10574_2010_nsp10_VIPR_ALG4_701216890_16100_17908_1_2010_09_China_Human_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
TNP_F1834_2_nsp10_VIPR_ALG4_AWW13548_1_16093_17901_1_2016_12_28_Cote_dIvoire_Chimpanzee_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
CC_23_nsp10_VIPR_ALG4_AXX83324_1_16022_17830_1_2015_07_13_China_Unknown_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
HCoV_OC43_Seattle_USA_SC831_2016_nsp10_VIPR_ALG4_APU51923_1_16081_17889_1_2016_USA_Human_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
OC43_human_USA_872_5_1987_nsp10_VIPR_ALG4_530802445_16081_17889_1_1987_02_10_USA_Human_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
69A_2007_nsp10_VIPR_ALG4_701216862_16100_17908_1_2007_05_China_Human_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
IWT_18_nsp10_VIPR_ALG4_BBM61074_1_16077_17885_1_2016_12_Japan_Unknown_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
YC_55_nsp10_VIPR_ALG4_AXX83348_1_16004_17812_1_2015_03_12_China_Unknown_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
OC43_human_USA_991_5_1999_nsp10_VIPR_ALG4_530802390_16080_17888_1_1999_01_07_USA_Human_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
HCoV_OC43_Seattle_USA_SC2269_2016_nsp10_VIPR_ALG4_ARA15417_1_16062_17870_1_2016_USA_Human_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
CC14_nsp10_VIPR_ALG4_AVV64331_1_16098_17906_1_2014_03_China_Swine_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
5240_2007_nsp10_VIPR_ALG4_701216652_16100_17908_1_2007_05_China_Human_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
SHG_3_nsp10_VIPR_ALG4_BBM61214_1_16077_17885_1_2014_12_Japan_Unknown_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
MY_U413_12_nsp10_VIPR_ALG4_AQN78677_1_16100_17908_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
TCG_6_nsp10_VIPR_ALG4_BBM61374_1_16077_17885_1_2007_12_Japan_Unknown_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
DcCoV_HKU23_camel_Nigeria_NV1010_2015_nsp10_VIPR_ALG4_QEY10638_1_16086_17894_1_2015_11_20_Nigeria_Camel_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
IWT_25_nsp10_VIPR_ALG4_BBM61164_1_16074_17882_1_2017_01_Japan_Unknown_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
3074A_2012_nsp10_VIPR_ALG4_701216687_16100_17908_1_2012_02_China_Human_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVYALVYENKLKAKNESSSLCFKVYYKGVTT
5595_2007_nsp10_VIPR_ALG4_701216848_16100_17908_1_2007_07_China_Human_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
IWT_6_nsp10_VIPR_ALG4_BBM60994_1_16074_17882_1_2012_12_Japan_Unknown_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
IWT_3_nsp10_VIPR_ALG4_BBM60964_1_16077_17885_1_2011_06_Japan_Unknown_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
1783A_10_nsp10_VIPR_ALG4_744516694_16100_17908_1_2010_01_China_Human_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
BJ_165_nsp10_VIPR_ALG4_AXX83312_1_16004_17812_1_2015_06_09_China_Unknown_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
3269A_2012_nsp10_VIPR_ALG4_701216694_16100_17908_1_2012_06_China_Human_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
Kakegawa_nsp10_VIPR_ALG4_155369168_16101_17909_1_NA_Japan_Unknown_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
HCoV_OC43_Seattle_USA_SC0841_2019_nsp10_VIPR_ALG4_QEG03773_1_16098_17906_1_2019_USA_Human_Betacoronavirus_1 FNTVTKLMCCIGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
4_17_25_nsp10_VIPR_ALG4_AVZ61106_1_16101_17909_1_2017_04_USA_Cattle_Betacoronavirus_1 FNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTT
**********:******************** ****************************
TCG_2_nsp10_VIPR_ALG4_BBM61284_1_16052_17860_1_2006_12_Japan_Unknown_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
SHG_2_nsp10_VIPR_ALG4_BBM61204_1_16070_17878_1_2014_09_Japan_Unknown_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
OC43_human_USA_901_41_1990_nsp10_VIPR_ALG4_530802215_16081_17889_1_1990_01_17_USA_Human_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
10574_2010_nsp10_VIPR_ALG4_701216890_16100_17908_1_2010_09_China_Human_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
TNP_F1834_2_nsp10_VIPR_ALG4_AWW13548_1_16093_17901_1_2016_12_28_Cote_dIvoire_Chimpanzee_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
CC_23_nsp10_VIPR_ALG4_AXX83324_1_16022_17830_1_2015_07_13_China_Unknown_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
HCoV_OC43_Seattle_USA_SC831_2016_nsp10_VIPR_ALG4_APU51923_1_16081_17889_1_2016_USA_Human_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
OC43_human_USA_872_5_1987_nsp10_VIPR_ALG4_530802445_16081_17889_1_1987_02_10_USA_Human_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
69A_2007_nsp10_VIPR_ALG4_701216862_16100_17908_1_2007_05_China_Human_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
IWT_18_nsp10_VIPR_ALG4_BBM61074_1_16077_17885_1_2016_12_Japan_Unknown_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
YC_55_nsp10_VIPR_ALG4_AXX83348_1_16004_17812_1_2015_03_12_China_Unknown_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
OC43_human_USA_991_5_1999_nsp10_VIPR_ALG4_530802390_16080_17888_1_1999_01_07_USA_Human_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
HCoV_OC43_Seattle_USA_SC2269_2016_nsp10_VIPR_ALG4_ARA15417_1_16062_17870_1_2016_USA_Human_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
CC14_nsp10_VIPR_ALG4_AVV64331_1_16098_17906_1_2014_03_China_Swine_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
5240_2007_nsp10_VIPR_ALG4_701216652_16100_17908_1_2007_05_China_Human_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
SHG_3_nsp10_VIPR_ALG4_BBM61214_1_16077_17885_1_2014_12_Japan_Unknown_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
MY_U413_12_nsp10_VIPR_ALG4_AQN78677_1_16100_17908_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
TCG_6_nsp10_VIPR_ALG4_BBM61374_1_16077_17885_1_2007_12_Japan_Unknown_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
DcCoV_HKU23_camel_Nigeria_NV1010_2015_nsp10_VIPR_ALG4_QEY10638_1_16086_17894_1_2015_11_20_Nigeria_Camel_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWYKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
IWT_25_nsp10_VIPR_ALG4_BBM61164_1_16074_17882_1_2017_01_Japan_Unknown_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
3074A_2012_nsp10_VIPR_ALG4_701216687_16100_17908_1_2012_02_China_Human_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
5595_2007_nsp10_VIPR_ALG4_701216848_16100_17908_1_2007_07_China_Human_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
IWT_6_nsp10_VIPR_ALG4_BBM60994_1_16074_17882_1_2012_12_Japan_Unknown_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
IWT_3_nsp10_VIPR_ALG4_BBM60964_1_16077_17885_1_2011_06_Japan_Unknown_Betacoronavirus_1 HESSSAVNIQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
1783A_10_nsp10_VIPR_ALG4_744516694_16100_17908_1_2010_01_China_Human_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
BJ_165_nsp10_VIPR_ALG4_AXX83312_1_16004_17812_1_2015_06_09_China_Unknown_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
3269A_2012_nsp10_VIPR_ALG4_701216694_16100_17908_1_2012_06_China_Human_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
Kakegawa_nsp10_VIPR_ALG4_155369168_16101_17909_1_NA_Japan_Unknown_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
HCoV_OC43_Seattle_USA_SC0841_2019_nsp10_VIPR_ALG4_QEG03773_1_16098_17906_1_2019_USA_Human_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
4_17_25_nsp10_VIPR_ALG4_AVZ61106_1_16101_17909_1_2017_04_USA_Cattle_Betacoronavirus_1 HESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEY
********:****************:**********************************
TCG_2_nsp10_VIPR_ALG4_BBM61284_1_16052_17860_1_2006_12_Japan_Unknown_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVET
SHG_2_nsp10_VIPR_ALG4_BBM61204_1_16070_17878_1_2014_09_Japan_Unknown_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVET
OC43_human_USA_901_41_1990_nsp10_VIPR_ALG4_530802215_16081_17889_1_1990_01_17_USA_Human_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVET
10574_2010_nsp10_VIPR_ALG4_701216890_16100_17908_1_2010_09_China_Human_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVET
TNP_F1834_2_nsp10_VIPR_ALG4_AWW13548_1_16093_17901_1_2016_12_28_Cote_dIvoire_Chimpanzee_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVET
CC_23_nsp10_VIPR_ALG4_AXX83324_1_16022_17830_1_2015_07_13_China_Unknown_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTVDKVPQAVET
HCoV_OC43_Seattle_USA_SC831_2016_nsp10_VIPR_ALG4_APU51923_1_16081_17889_1_2016_USA_Human_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVET
OC43_human_USA_872_5_1987_nsp10_VIPR_ALG4_530802445_16081_17889_1_1987_02_10_USA_Human_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVET
69A_2007_nsp10_VIPR_ALG4_701216862_16100_17908_1_2007_05_China_Human_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVET
IWT_18_nsp10_VIPR_ALG4_BBM61074_1_16077_17885_1_2016_12_Japan_Unknown_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVET
YC_55_nsp10_VIPR_ALG4_AXX83348_1_16004_17812_1_2015_03_12_China_Unknown_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVET
OC43_human_USA_991_5_1999_nsp10_VIPR_ALG4_530802390_16080_17888_1_1999_01_07_USA_Human_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVET
HCoV_OC43_Seattle_USA_SC2269_2016_nsp10_VIPR_ALG4_ARA15417_1_16062_17870_1_2016_USA_Human_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVET
CC14_nsp10_VIPR_ALG4_AVV64331_1_16098_17906_1_2014_03_China_Swine_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVET
5240_2007_nsp10_VIPR_ALG4_701216652_16100_17908_1_2007_05_China_Human_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVET
SHG_3_nsp10_VIPR_ALG4_BBM61214_1_16077_17885_1_2014_12_Japan_Unknown_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVET
MY_U413_12_nsp10_VIPR_ALG4_AQN78677_1_16100_17908_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVET
TCG_6_nsp10_VIPR_ALG4_BBM61374_1_16077_17885_1_2007_12_Japan_Unknown_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVET
DcCoV_HKU23_camel_Nigeria_NV1010_2015_nsp10_VIPR_ALG4_QEY10638_1_16086_17894_1_2015_11_20_Nigeria_Camel_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVET
IWT_25_nsp10_VIPR_ALG4_BBM61164_1_16074_17882_1_2017_01_Japan_Unknown_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVET
3074A_2012_nsp10_VIPR_ALG4_701216687_16100_17908_1_2012_02_China_Human_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVET
5595_2007_nsp10_VIPR_ALG4_701216848_16100_17908_1_2007_07_China_Human_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVET
IWT_6_nsp10_VIPR_ALG4_BBM60994_1_16074_17882_1_2012_12_Japan_Unknown_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVET
IWT_3_nsp10_VIPR_ALG4_BBM60964_1_16077_17885_1_2011_06_Japan_Unknown_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPHAVET
1783A_10_nsp10_VIPR_ALG4_744516694_16100_17908_1_2010_01_China_Human_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVET
BJ_165_nsp10_VIPR_ALG4_AXX83312_1_16004_17812_1_2015_06_09_China_Unknown_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVET
3269A_2012_nsp10_VIPR_ALG4_701216694_16100_17908_1_2012_06_China_Human_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVET
Kakegawa_nsp10_VIPR_ALG4_155369168_16101_17909_1_NA_Japan_Unknown_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTVDKVPQAVET
HCoV_OC43_Seattle_USA_SC0841_2019_nsp10_VIPR_ALG4_QEG03773_1_16098_17906_1_2019_USA_Human_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVET
4_17_25_nsp10_VIPR_ALG4_AVZ61106_1_16101_17909_1_2017_04_USA_Cattle_Betacoronavirus_1 DYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVET
**************************************************:****:****
TCG_2_nsp10_VIPR_ALG4_BBM61284_1_16052_17860_1_2006_12_Japan_Unknown_Betacoronavirus_1 RVQ
SHG_2_nsp10_VIPR_ALG4_BBM61204_1_16070_17878_1_2014_09_Japan_Unknown_Betacoronavirus_1 RVQ
OC43_human_USA_901_41_1990_nsp10_VIPR_ALG4_530802215_16081_17889_1_1990_01_17_USA_Human_Betacoronavirus_1 KVQ
10574_2010_nsp10_VIPR_ALG4_701216890_16100_17908_1_2010_09_China_Human_Betacoronavirus_1 KVQ
TNP_F1834_2_nsp10_VIPR_ALG4_AWW13548_1_16093_17901_1_2016_12_28_Cote_dIvoire_Chimpanzee_Betacoronavirus_1 KVQ
CC_23_nsp10_VIPR_ALG4_AXX83324_1_16022_17830_1_2015_07_13_China_Unknown_Betacoronavirus_1 KVQ
HCoV_OC43_Seattle_USA_SC831_2016_nsp10_VIPR_ALG4_APU51923_1_16081_17889_1_2016_USA_Human_Betacoronavirus_1 KVQ
OC43_human_USA_872_5_1987_nsp10_VIPR_ALG4_530802445_16081_17889_1_1987_02_10_USA_Human_Betacoronavirus_1 KVQ
69A_2007_nsp10_VIPR_ALG4_701216862_16100_17908_1_2007_05_China_Human_Betacoronavirus_1 KVQ
IWT_18_nsp10_VIPR_ALG4_BBM61074_1_16077_17885_1_2016_12_Japan_Unknown_Betacoronavirus_1 RVQ
YC_55_nsp10_VIPR_ALG4_AXX83348_1_16004_17812_1_2015_03_12_China_Unknown_Betacoronavirus_1 KVQ
OC43_human_USA_991_5_1999_nsp10_VIPR_ALG4_530802390_16080_17888_1_1999_01_07_USA_Human_Betacoronavirus_1 KVQ
HCoV_OC43_Seattle_USA_SC2269_2016_nsp10_VIPR_ALG4_ARA15417_1_16062_17870_1_2016_USA_Human_Betacoronavirus_1 KVQ
CC14_nsp10_VIPR_ALG4_AVV64331_1_16098_17906_1_2014_03_China_Swine_Betacoronavirus_1 KVQ
5240_2007_nsp10_VIPR_ALG4_701216652_16100_17908_1_2007_05_China_Human_Betacoronavirus_1 KVQ
SHG_3_nsp10_VIPR_ALG4_BBM61214_1_16077_17885_1_2014_12_Japan_Unknown_Betacoronavirus_1 RVQ
MY_U413_12_nsp10_VIPR_ALG4_AQN78677_1_16100_17908_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 KVQ
TCG_6_nsp10_VIPR_ALG4_BBM61374_1_16077_17885_1_2007_12_Japan_Unknown_Betacoronavirus_1 RVQ
DcCoV_HKU23_camel_Nigeria_NV1010_2015_nsp10_VIPR_ALG4_QEY10638_1_16086_17894_1_2015_11_20_Nigeria_Camel_Betacoronavirus_1 RVQ
IWT_25_nsp10_VIPR_ALG4_BBM61164_1_16074_17882_1_2017_01_Japan_Unknown_Betacoronavirus_1 RVQ
3074A_2012_nsp10_VIPR_ALG4_701216687_16100_17908_1_2012_02_China_Human_Betacoronavirus_1 KVQ
5595_2007_nsp10_VIPR_ALG4_701216848_16100_17908_1_2007_07_China_Human_Betacoronavirus_1 KVQ
IWT_6_nsp10_VIPR_ALG4_BBM60994_1_16074_17882_1_2012_12_Japan_Unknown_Betacoronavirus_1 RVQ
IWT_3_nsp10_VIPR_ALG4_BBM60964_1_16077_17885_1_2011_06_Japan_Unknown_Betacoronavirus_1 RVQ
1783A_10_nsp10_VIPR_ALG4_744516694_16100_17908_1_2010_01_China_Human_Betacoronavirus_1 KVQ
BJ_165_nsp10_VIPR_ALG4_AXX83312_1_16004_17812_1_2015_06_09_China_Unknown_Betacoronavirus_1 KVQ
3269A_2012_nsp10_VIPR_ALG4_701216694_16100_17908_1_2012_06_China_Human_Betacoronavirus_1 KVQ
Kakegawa_nsp10_VIPR_ALG4_155369168_16101_17909_1_NA_Japan_Unknown_Betacoronavirus_1 RVQ
HCoV_OC43_Seattle_USA_SC0841_2019_nsp10_VIPR_ALG4_QEG03773_1_16098_17906_1_2019_USA_Human_Betacoronavirus_1 KVQ
4_17_25_nsp10_VIPR_ALG4_AVZ61106_1_16101_17909_1_2017_04_USA_Cattle_Betacoronavirus_1 RVQ
:**
>TCG_2_nsp10_VIPR_ALG4_BBM61284_1_16052_17860_1_2006_12_Japan_Unknown_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGCTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTACGATCATGTTATGGCAACTGATCATAAATATGTTTTGAGTGTTTCACCATATGTGTGTAACGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGATCATAAGCCACAATATTCGTTTAAGTTGGTAATGAATGGTATGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGATGATTTTAATCGTATAGCTAGTTGTAAATGGACTGATGTTGATGATTACATACTGGCTAATGAATGTACAGAGCGCTTGAAATTGTTTGCTGCAGAAACTCAAAAGGCGACTGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGCGAGCGCGAATTGATCCTTTCTTGGGAGATTGGAAAAGTGAAGCCACCACTTAATAAAAATTATGTTTTTACTGGCTACCATTTTACTAAAAATGGCAAGACAGTTTTAGGTGAGTATGTTTTTGATAAGAGTGAGTTGACTAATGGTGTGTATTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCCACGCTTGTGCCGCAGGAGAATTATAGTAGTATTAGATTTGCTAGTGTTTATAGTGTGCTTGAGACGTTTCAGAACAATGTCGTTAATTATCAACACATTGGTATGAAACGTTATTGTACCGTGCAAGGACCTCCTGGTACAGGAAAGTCACATCTTGCTATTGGTCTTGCTGTTTATTATTGTACAGCACGTGTAGTATACACTGCGGCCAGCCATGCAGCTGTTGACGCATTGTGTGAAAAAGCATACAAATTTTTGAATATAAATGACTGCACTCGTATTGTTCCTGCCAAGGTCAGGGTGGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACTATAAATGCATTACCTGAGATGGTGACTGATATTGTTGTTGTAGATGAAGTTAGTATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGTGCTAAGCATTATGTTTACATTGGTGATCCTGCCCAATTGCCAGCACCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTTATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATTGTTGATACAGTGTCTGCCTTGGTTTATGAAAATAAGCTTAAGGCTAAGAATGAAAGTAGTTCATTGTGTTTTAAGGTCTATTATAAAGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCCGTTTTTATTAGCCCATATAATAGCCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTGCAAACCCAGACCGTGGATTCTGCTCAAGGTTCTGAATATGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCTATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTTGAAGCATTACAGTTTACTACATTGACCTTAGATAAAGTGCCACAGGCCGTTGAAACGAGAGTTCAA >SHG_2_nsp10_VIPR_ALG4_BBM61204_1_16070_17878_1_2014_09_Japan_Unknown_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGCTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTACGATCATGTTATGGCAACTGATCATAAATATGTTTTGAGTGTTTCACCATATGTGTGTAACGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGATCATAAGCCACAATATTCGTTTAAGTTGGTAATGAATGGTATGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGATGATTTTAATCGTATAGCTAGTTGTAAATGGACTGATGTTGATGATTACATACTGGCTAATGAATGCACAGAGCGCTTGAAATTGTTTGCTGCAGAAACTCAAAAGGCGACTGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGCGAGCGCGAATTGATCCTTTCTTGGGAGATTGGAAAAGTGAAGCCACCACTTAATAAAAATTATGTTTTTACTGGCTACCATTTTACTAAAAATGGCAAGACAGTTTTAGGTGAGTATGTCTTTGATAAGAGTGAGTTGACTAATGGTGTGTATTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCACTCAGTAGCTAATTTAAGTGCCCCCACGCTTGTGCCGCAGGAGAATTATAGTAGTATTAGATTTGCTAGTGTTTATAGTGTGCTTGAGACGTTTCAGAACAATGTTGTTAATTATCAACACATTGGTATGAAACGTTATTGTACCGTGCAAGGACCTCCTGGTACAGGAAAGTCACATCTTGCTATTGGTCTTGCTGTTTATTATTGTACAGCACGTGTAGTATACACTGCGGCCAGCCATGCAGCTGTTGACGCATTGTGTGAAAAAGCATACAAATTTTTGAATATAAATGACTGCACTCGTATTGTTCCTGCCAAGGTCAGGGTGGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACTATAAATGCATTACCTGAGATGGTGACTGATATTGTTGTTGTAGATGAAGTTAGTATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGTGCTAAGCATTATGTTTACATTGGTGATCCTGCTCAATTGCCAGCGCCACGTGTGTTATTGAACAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTTATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATTGTTGACACAGTGTCTGCCTTGGTTTATGAAAATAAGCTTAAGGCTAAGAATGAAAGTAGTTCATTGTGTTTTAAGGTCTATTATAAAGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCCGTTTTTATTAGCCCATATAATAGCCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTGCAAACCCAGACCGTGGATTCTGCTCAAGGTTCTGAATATGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGTTTCAATGTTGCTATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTCGAAGCATTACAGTTTACTACATTGACCTTAGATAAAGTGCCACAGGCCGTTGAAACGAGAGTTCAA >OC43_human_USA_901_41_1990_nsp10_VIPR_ALG4_530802215_16081_17889_1_1990_01_17_USA_Human_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGTTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTATGATCATGTTATGGCGACTGATCATAAATATGTCTTGAGTGTTTCACCATACGTGTGTAATGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGACCATAAGCCACAATATTCATTCAAGTTGGTAATGAATGGTCTGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGACGATTTTAATCGTATAGCTAGTTGTAAATGGACCGATGTGGATGATTACATACTAGCTAATGAATGTACAGAGCGTTTGAAATTGTTTGCTGCAGAAACGCAAAAGGCAACTGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGTGAGCGCGAATTGATTCTCTCTTGGGAGATTGGAAAAGTTAAGCCACCACTTAATAAAAATTATGTTTTTACTGGCTACCATTTTACTAAAAATGGTAAGACAGTTTTAGGTGAGTATGTTTTTGATAAGAGTGAGTTGACTAATGGTGTGTATTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCTACGCTTGTTCCGCAGGAGAATTATAGTAGTATCAGATTTGCTAGTGTTTATAGTGTGCTTGAGACGTTTCAGAACAATGTTGTTAATTATCAACACATTGGTATGAAACGTTACTGCACCGTGCAAGGACCTCCTGGTACAGGGAAGTCACATCTTGCTATTGGTCTTGCTGTATTCTATTGTACAGCACGTGTTGTATACACAGCGGCCAGCCATGCAGCTGTTGACGCATTGTGTGAAAAAGCATATAAATTTTTGAATATAAATGATTGCACTCGTATTGTTCCTGCCAAGGTCAGGGTGGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACCATAAATGCATTACCTGAGATGGTGACTGATATTGTTATTGTAGATGAAGTTAGTATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGCGCTAAGCATTATGTTTATATTGGTGATCCTGCTCAATTGCCAGCACCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTCATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATCGTTGATACAGTGTCCGCCTTGGTTTATGAAAATAAGCTTAAGGCCAAGAATGAGAGTAGTTCATTGTGTTTTAAGGTCTATTATAAGGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCTGTTTTTATTAGCCCATATAATAGTCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTACAAACCCAAACCGTGGATTCTGCTCAAGGTTCTGAATACGATTATGTTATATATTCACAGACAGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCTATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTTGAAGCATTACAGTTTACTACATTGACCTTAGATAAAGTGCCACAGGCCGTTGAAACGAAAGTTCAA >10574_2010_nsp10_VIPR_ALG4_701216890_16100_17908_1_2010_09_China_Human_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGCTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTATGATCATGTTATGGCGACTGATCATAAATATGTCTTGAGTGTTTCACCATATGTGTGTAATGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGACCATAAGCCACAATATTCATTCAAGTTGGTAATGAATGGTCTGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGACGATTTTAATCGTATAGCTAGTTGTAAATGGACCGATGTGGATGATTACATACTAGCTAATGAATGTACAGAGCGCTTGAAATTGTTTGCTGCAGAAACGCAAAAGGCAACCGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGTGAGCGCGAATTGATTCTCTCTTGGGAGATTGGAAAAGTTAAGCCACCACTTAATAAAAATTATGTTTTTACTGGCTACCATTTTACTAAAAACGGTAAGACAGTTTTAGGTGAGTATGTTTTTGATAAGAGTGAGTTGACTAATGGTGTGTATTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCTACGCTTGTTCCGCAGGAGAATTATAGTAGTATTAGATTTGCTAGTGTTTATAGTGTGCTTGAGACGTTTCAGAACAATGTTGTTAATTATCAACACATTGGTATGAAACGTTACTGTACCGTGCAAGGACCTCCTGGTACAGGGAAGTCACATCTTGCTATTGGTCTTGCTGTATTTTATTGTACAGCACGTGTTGTATACACAGCGGCCAGCCATGCAGCTGTTGACGCATTGTGTGAAAAAGCATATAAATTTTTGAATATAAATGATTGCACTCGTATTGTTCCGGCCAAGGTCAGGGTAGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACCATAAATGCATTACCTGAGATGGTGACTGATATTGTTGTTGTAGATGAAGTTAGCATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGTGCTAAGCATTATGTTTATATTGGTGATCCTGCTCAATTGCCAGCACCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTCATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATTGTTGATACAGTGTCCGCCTTGGTTTATGAAAATAAGCTTAAGGCTAAGAATGAGAGTAGTTCATTGTGTTTTAAGGTCTATTATAAGGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCTGTTTTTATTAGCCCATATAATAGTCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTACAAACCCAAACCGTGGATTCTGCTCAAGGTTCTGAATACGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCCATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTTGAAGCATTACAGTTTACTACATTGACCTTAGATAAAGTGCCACAGGCCGTTGAAACTAAAGTTCAA >TNP_F1834_2_nsp10_VIPR_ALG4_AWW13548_1_16093_17901_1_2016_12_28_Cote_dIvoire_Chimpanzee_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGCTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTATGATCATGTTATGGCGACTGATCATAAATATGTCTTGAGTGTTTCACCATATGTGTGTAATGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGACCATAAGCCACAATATTCATTCAAGTTGGTAATGAATGGTCTGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGATGATTTTAATCGTATAGCTAGTTGTAAATGGACCGATGTGGATGATTACATACTAGCTAATGAATGTACAGAGCGCTTGAAATTGTTTGCTGCAGAAACGCAAAAGGCAACCGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGTGAGCGCGAATTGATTCTCTCTTGGGAGATTGGAAAAGTTAAGCCACCACTTAATAAAAATTATGTTTTTACTGGCTACCATTTTACTAAAAATGGTAAGACAGTTTTAGGTGAGTATGTTTTTGATAAGAGTGAGTTGACTAATGGTGTGTATTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCTACGCTTATTCCGCAGGAGAATTATAGTAGTATTAGATTTGCTAGTGTTTATAGTGTGCTTGAGACGTTTCAGAACAATGTTGTTAATTATCAACACATTGGTATGAAACGTTACTGTACTGTGCAAGGACCTCCTGGTACAGGGAAGTCACATCTTGCTATTGGTCTTGCTGTATTTTATTGTACAGCACGTGTTGTATACACAGCGGCCAGCCATGCAGCTGTTGACGCATTGTGTGAAAAAGCATATAAATTTTTGAATATAAATGATTGCACTCGTATTGTTCCGGCCAAGGTCAGGGTAGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACCATAAATGCATTACCTGAGATGGTGACTGATATTGTTGTTGTAGATGAAGTTAGCATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGTGCTAAGCATTATGTTTATATTGGTGATCCTGCCCAATTGCCAGCACCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTCATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATTGTTGATACAGTGTCCGCCTTGGTTTATGAAAATAAGCTTAAGGCTAAGAATGAGAGTAGTTCATTGTGTTTTAAGGTCTATTATAAGGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCTGTTTTTATTAGCCCATATAATAGTCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTACAAACCCAAACCGTGGATTCTGCTCAAGGTTCTGAATACGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCCATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTTGAAGCATTACAGTTTACTACATTGACCTTAGATAAAGTGCCACAGGCCGTTGAAACTAAAGTTCAA >CC_23_nsp10_VIPR_ALG4_AXX83324_1_16022_17830_1_2015_07_13_China_Unknown_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTATGCTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTATGATCATGTTATGGCGACTGATCATAAATATGTCTTGAGTGTCTCACCATATGTGTGTAATGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGACCATAAACCACAATATTCATTCAAGTTGGTAATGAATGGTCTGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGACGATTTTAATCGTATAGCTAGTTGTAAATGGACCGATGTGGATGATTACATACTAGCTAATGAATGTACAGAGCGCTTGAAATTGTTTGCTGCAGAAACGCAAAAGGCAACCGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGTGAGCGCGAATTGATTCTCTCTTGGGAGATTGGAAAAGTTAAGCCACCACTTAATAAAAATTATGTTTTTACTGGCTACCATTTTACTAAAAACGGTAAGACAGTTTTAGGTGAGTATGTTTTTGATAAGAGTGAGTTGACTAATGGTGTGTATTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCTACGCTTGTCCCGCAGGAGAATTATAGTAGTATTAGATTTGCTAGTGTTTATAGTGTGCTTGAGACGTTTCAGAACAATGTTGTTAATTATCAACACATTGGTATGAAACGTTACTGTACCGTTCAAGGACCTCCTGGTACAGGGAAGTCACATCTTGCTATTGGTCTTGCTGTATTTTATTGTACAGCACGTGTTGTATACACAGCGGCCAGCCATGCAGCTGTTGACGCATTGTGTGAAAAAGCATATAAATTTTTGAATATAAATGATTGCACTCGTATTGTTCCGGCCAAGGTCAGGGTAGAGTGCTATGATAAGTTTAAAATTAATGATACCACTCGTAAGTATGTGTTTACTACCATAAATGCATTACCTGAGATGGTGACTGATATTGTTGTTGTAGATGAAGTTAGCATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGTGCTAAGCATTATGTTTATATTGGTGATCCTGCTCAATTGCCAGCACCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTCATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATTGTTGATACAGTGTCCGCCTTGGTTTATGAAAATAAGCTTAAGGCTAAGAATGAGAGTAGTTCATTGTGTTTTAAGGTCTATTATAAGGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCTGTTTTTATTAGCCCATATAATAGTCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTACAAACCCAAACCGTGGATTCTGCTCAAGGTTCTGAATACGATTATGTTATATATTCACAAACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCCATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTTGAAGCATTACAGTTTACTACATTGACCGTAGATAAAGTGCCACAGGCCGTTGAAACTAAAGTTCAA >HCoV_OC43_Seattle_USA_SC831_2016_nsp10_VIPR_ALG4_APU51923_1_16081_17889_1_2016_USA_Human_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGCTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTATGATCACGTTATGGCGACTGATCATAAATATGTCTTGAGTGTTTCACCATATGTGTGTAATGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGACCATAAGCCACAATATTCATTCAAGTTGGTAATGAATGGTCTGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGACGATTTTAATCGTATAGCTAGTTGTAAATGGACCGATGTGGATGATTACATACTAGCTAATGAATGTACAGAGCGCTTGAAATTGTTTGCTGCAGAAACGCAAAAGGCAACCGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGTGAGCGCGAATTGATTCTCTCTTGGGAGATTGGAAAAGTTAAGCCACCACTTAATAAAAATTATGTTTTTACTGGCTACCATTTTACTAAAAATGGTAAGACAGTTTTAGGTGAGTATGTTTTTGATAAGAGTGAGTTGACTAATGGTGTGTACTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCTACGCTTGTTCCGCAGGAGAATTATAGTAGTATTAGATTTGCTAGTGTTTATAGTGTGCTTGAGACGTTTCAGAACAATGTTGTTAATTATCAACACATTGGTATGAAACGTTACTGTACCGTGCAAGGACCTCCTGGTACAGGGAAGTCACATCTTGCTATTGGTCTTGCTGTATTTTATTGTACAGCACGTGTTGTATACACAGCGGCCAGCCATGCAGCTGTTGACGCATTGTGTGAAAAAGCATATAAATTTTTGAATATAAATGATTGCACTCGTATTGTTCCGGCCAAGGTCAGGGTAGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACCATAAATGCATTACCTGAGATGGTGACTGATATTGTTGTTGTAGATGAAGTTAGCATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGTGCTAAGCATTATGTTTATATTGGTGATCCTGCTCAATTGCCAGCACCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTCATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATTGTTGATACAGTGTCCGCCTTGGTTTATGAAAATAAGCTTAAGGCTAAGAATGAGAGTAGTTCATTGTGTTTTAAGGTCTATTATAAGGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCTGTTTTTATTAGCCCATATAATAGTCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTACAAACCCAAACCGTGGATTCTGCTCAAGGTTCTGAATACGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCCATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTTGAAGCATTACAGTTTACTACATTGACCTTAGATAAAGTGCCACAGGCCGTTGAAACTAAAGTTCAA >OC43_human_USA_872_5_1987_nsp10_VIPR_ALG4_530802445_16081_17889_1_1987_02_10_USA_Human_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGTTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTATGATCATGTTATGGCGACTGATCATAAATATGTCTTGAGTGTTTCACCATATGTGTGTAATGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGACCATAAGCCACAATATTCATTCAAGTTGGTAATGAATGGTCTGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGACGATTTTAATCGTATAGCTAGTTGTAAATGGACCGATGTTGACGATTACATACTAGCTAATGAATGTACAGAGCGCTTGAAATTGTTTGCTGCAGAAACGCAAAAGGCAACTGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGTGAGCGCGAATTGATTCTCTCTTGGGAGATTGGAAAAGTTAAGCCACCACTTAATAAAAATTATGTTTTTACTGGCTACCATTTTACTAAAAATGGTAAGACAGTTTTAGGTGAGTATGTTTTTGATAAGAGTGAGTTGACTAATGGTGTGTATTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCTACGCTTGTTCCGCAGGAGAATTATAGTAGTATCAGATTTGCTAGTGTTTATAGTGTGCTTGAGACGTTTCAGAACAATGTTGTTAATTATCAACACATTGGTATGAAACGTTACTGCACCGTGCAAGGACCTCCTGGTACAGGGAAGTCACATCTTGCTATTGGTCTTGCTGTATTCTATTGTACAGCACGTGTTGTATACACAGCGGCCAGCCATGCAGCTGTTGACGCATTGTGTGAAAAAGCATATAAATTTTTGAATATAAATGATTGCACTCGTATTATTCCTGCCAAGGTCAGGGTGGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACCATAAATGCATTACCTGAGATGGTGACTGATATTGTTATTGTAGATGAAGTTAGTATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGCGCTAAGCATTATGTTTATATTGGTGATCCTGCTCAATTGCCAGCACCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTCATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATCGTTGATACAGTGTCCGCCTTGGTTTATGAAAATAAGCTTAAGGCCAAGAATGAGAGTAGTTCATTGTGTTTTAAGGTCTATTATAAGGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCTGTTTTTATTAGCCCATATAATAGTCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTACAAACCCAAACCGTGGATTCTGCTCAAGGTTCTGAATACGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCTATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTTGAAGCATTACAGTTTACTACATTGACCTTAGATAAAGTGCCACAGGCCGTTGAAACGAAAGTTCAA >69A_2007_nsp10_VIPR_ALG4_701216862_16100_17908_1_2007_05_China_Human_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGCTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTATGATCATGTTATGGCGACTGATCATAAATATGTCTTGAGTGTTTCACCATATGTGTGTAATGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGACCATAAGCCACAATATTCATTCAAGTTGGTAATGAATGGTCTGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGACGATTTTAATCGTATAGCTAGTTGTAAATGGACCGATGTGGATGATTACATACTAGCTAATGAATGTACAGAGCGCTTGAAATTGTTTGCTGAAGAAACGCAAAAGGCAACCGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGTGAGCGCGAATTGATTCTCTCTTGGGAGATTGGAAAAGTTAAGCCACCACTTAATAAAAATTATGTTTTTACTGGCTACCATTTTACTAAAAACGGTAAGACAGTTTTAGGTGAGTATGTTTTTGATAAGAGTGAGTTGACTAATGGTGTGTATTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCTACGCTTGTTCCGCAGGAGAATTATAGTAGTATTAGATTTGCTAGTGTTTATAGTGTGCTTGAGACGTTTCAGAACAATGTTGTTAATTATCAACACATTGGTATGAAACGTTACTGTACCGTGCAAGGACCTCCTGGTACAGGGAAGTCACATCTTGCTATTGGTCTTGCTGTATTTTATTGTACAGCACGTGTTGTATACACAGCGGCCAGCCATGCAGCTGTTGACGCATTGTGTGAAAAAGCATATAAATTTTTGAATATAAATGATTGCACTCGTATTGTTCCGGCCAAGGTCAGGGTAGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACCATAAATGCATTACCTGAGATGGTGACTGATATTGTTGTTGTAGATGAAGTTAGCATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGTGCTAAGCATTATGTTTATATTGGTGATCCTGCTCAATTGCCAGCACCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTCATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATTGTTGATACAGTGTCCGCCTTGGTTTATGAAAATAAGCTTAAGGCTAAGAATGAGAGTAGTTCATTGTGTTTTAAGGTCTATTATAAGGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCTGTTTTTATTAGCCCATATAATAGTCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTACAAACCCAAACCGTGGATTCTGCTCAAGGTTCTGAATATGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCCATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTTGAAGCATTACAGTTTACTACATTGACCTTAGATAAAGTGCCACAGGCCGTTGAAACTAAAGTTCAA >IWT_18_nsp10_VIPR_ALG4_BBM61074_1_16077_17885_1_2016_12_Japan_Unknown_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGCTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTACGATCATGTTATGGCAACTGATCATAAATATGTTTTGAGTGTTTCACCGTATGTGTGTAACGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGATCATAAGCCACAATATTCGTTTAAGTTGGTAATGAATGGTATGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGATGATTTTAATCGTATAGCTAGTTGTAAATGGACTGATGTTGATGATTACATACTGGCTAATGAATGTACAGAGCGCTTGAAATTGTTTGCTGCAGAAACTCAAAAGGCGACTGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGCGAGCGCGAATTGATCCTTTCTTGGGAGATTGGAAAAGTGAAGCCACCACTTAATAAAAATTATGTTTTTACTGGCTACCATTTTACTAAAAATGGCAAGACAGTTTTAGGTGAGTATGTTTTTGATAAGAGTGAGTTGACTAATGGTGTGTATTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCCACGCTTGTGCCGCAGGAGAATTATAGTAGTATTAGATTTGCTAGTGTTTATAGTGTGCTTGAGACGTTTCAGAACAATGTCGTTAATTATCAACACATTGGTATGAAACGTTATTGTACCGTGCAAGGACCTCCTGGTACAGGAAAGTCACATCTTGCTATTGGTCTTGCTGTTTATTATTGTACAGCGCGTGTAGTATACACTGCGGCCAGCCATGCAGCTGTTGACGCATTGTGTGAAAAAGCATACAAATTTTTGAATATAAATGACTGCACTCGTATTGTTCCTGCCAAGGTCAGGGTGGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACTATAAATGCATTACCTGAGATGGTGACTGATATTGTTGTTGTAGATGAAGTTAGTATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGTGCTAAGCATTATGTTTACATTGGTGATCCTGCCCAATTGCCAGCACCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTTATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATTGTTGATACAGTGTCTGCCTTGGTTTATGAAAATAAGCTTAAGGCTAAGAATGAAAGTAGTTCATTGTGCTTTAAGGTCTATTATAAAGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCCGTTTTTATTAGCCCATATAATAGCCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTGCAAACCCAGACCGTGGATTCTGCTCAAGGTTCTGAATATGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCTATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTTGAAGCATTACAGTTTACTACATTGACCTTAGATAAAGTGCCACAGGCCGTTGAAACGAGAGTTCAA >YC_55_nsp10_VIPR_ALG4_AXX83348_1_16004_17812_1_2015_03_12_China_Unknown_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGCTCTTCTCAAACATCATTACGTTGTGGTAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTATGATCATGTTATGGCGACTGATCATAAATATGTCTTGAGTGTTTCACCATATGTGTGTAATGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGACCATAAGCCACAATATTCATTCAAGTTGGTAATGAATGGTCTGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGACGATTTTAATCGTATAGCTAGTTGTAAATGGACCGATGTGGATGATTACATACTAGCTAATGAATGTACAGAGCGCTTGAAATTGTTTGCTGCAGAAACGCAAAAGGCAACCGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGTGAGCGCGAATTGATTCTCTCTTGGGAGATTGGAAAAGTTAAGCCACCACTTAATAAAAATTATGTTTTCACTGGCTACCATTTTACTAAAAACGGTAAGACAGTTTTAGGTGAGTATGTTTTTGATAAGAGTGAGTTGACTAATGGTGTGTATTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCTACGCTTGTTCCGCAGGAGAATTATAGTAGTATTAGATTTGCTAGTGTTTATAGTGTGCTTGAGACGTTTCAGAACAATGTTGTTAATTATCAACACATTGGTATGAAACGTTACTGTACCGTACAAGGACCTCCTGGTACAGGGAAGTCACATCTTGCTATTGGTCTTGCTGTATTTTATTGTACAGCACGTGTTGTATACACAGCGGCCAGCCATGCAGCTGTTGACGCATTGTGTGAAAAAGCATATAAATTTTTGAATATAAATGATTGCACTCGTATTGTTCCGGCCAAGGTCAGGGTAGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACCATAAATGCATTACCTGAGATGGTGACTGATATTGTTGTTGTAGATGAAGTTAGCATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGTGCTAAGCATTATGTTTATATTGGTGATCCTGCTCAATTGCCAGCACCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTCATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATTGTTGATACAGTGTCCGCCTTGGTTTATGAAAATAAGCTTAAGGCTAAGAATGAGAGTAGTTCATTGTGTTTTAAGGTCTATTATAAGGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCTGTTTTTATTAGCCCATATAATAGTCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTACAAACCCAAACCGTGGATTCTGCTCAAGGTTCTGAATATGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCCATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTTGAAGCATTACAGTTTACTACATTGACCTTAGATAAAGTGCCACAGGCCGTTGAAACTAAAGTTCAA >OC43_human_USA_991_5_1999_nsp10_VIPR_ALG4_530802390_16080_17888_1_1999_01_07_USA_Human_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGCTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTATGATCATGTTATGGCGACTGATCATAAATATGTCTTGAGTGTTTCACCATATGTGTGTAATGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGACCATAAGCCACAATATTCATTCAAGTTGGTAATGAATGGTCTGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGACGATTTTAATCGTATAGCTAGTTGTAAATGGACCGATGTGGATGATTACATACTAGCTAATGAATGTACAGAGCGCTTGAAATTGTTTGCTGCAGAAACGCAAAAGGCAACCGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGTGAGCGCGAATTGATTCTCTCTTGGGAGATTGGAAAAGTTAAGCCACCACTTAATAAAAATTATGTTTTTACTGGCTACCATTTTACTAAAAACGGTAAGACAGTTTTAGGTGAGTATGTTTTTGATAAGAGTGAGTTGACTAATGGTGTGTATTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCTACGCTTGTTCCGCAGGAGAATTATAGTAGTATTAGATTTGCTAGTGTTTATAGTGTGCTTGAGACGTTTCAGAACAATGTTGTTAATTATCAACACATTGGTATGAAACGTTACTGTACCGTGCAAGGACCTCCTGGTACAGGGAAGTCACATCTTGCTATTGGTCTTGCTGTATTTTATTGTACAGCACGTGTTGTATACACAGCGGCCAGCCATGCAGCTGTTGACGCATTGTGTGAAAAAGCATATAAATTTTTGAATATAAATGATTGCACTCGTATTGTTCCGGCCAAGGTCAGGGTAGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACCATAAATGCATTACCTGAGATGGTGACTGATATTGTTGTTGTAGATGAAGTTAGCATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGTGCTAAGCATTATGTTTATATTGGTGATCCTGCTCAATTGCCAGCACCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTCATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATCGTTGATACAGTGTCCGCCTTGGTTTATGAAAATAAGCTTAAGGCTAAGAATGAGAGTAGTTCATTGTGTTTTAAGGTCTATTATAAGGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCTGTTTTTATTAGCCCATATAATAGTCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTACAAACCCAAACCGTGGATTCTGCTCAAGGTTCTGAATACGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCTATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTTGAAGCATTACAGTTTACTACATTGACCTTAGATAAAGTGCCACAGGCCGTTGAAACTAAAGTTCAA >HCoV_OC43_Seattle_USA_SC2269_2016_nsp10_VIPR_ALG4_ARA15417_1_16062_17870_1_2016_USA_Human_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGCTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTATGATCACGTTATGGCGACTGATCATAAATATGTCTTGAGTGTTTCACCATATGTGTGTAATGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGACCATAAGCCACAATATTCATTCAAGTTGGTAATGAATGGTCTGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGACGATTTTAATCGTATAGCTAGTTGTAAATGGACCGATGTGGATGATTACATACTAGCTAATGAATGTACAGAGCGCTTGAAATTGTTTGCTGCAGAAACGCAAAAGGCAACCGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGTGAGCGCGAATTGATTCTCTCTTGGGAGATTGGAAAAGTTAAGCCACCACTTAATAAAAATTATGTTTTTACTGGCTACCATTTTACTAAAAATGGTAAGACAGTTTTAGGTGAGTATGTTTTTGATAAGAGTGAGTTGACTAATGGTGTGTACTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCTACGCTTGTTCCGCAGGAGAATTATAGTAGTATTAGATTTGCTAGTGTTTATAGTGTGCTTGAGACGTTTCAGAACAATGTTGTTAATTATCAACACATTGGTATGAAACGTTACTGTACCGTGCAAGGACCTCCTGGTACAGGGAAGTCACATCTTGCTATTGGTCTTGCTGTATTTTATTGTACAGCACGTGTTGTATACACAGCGGCCAGCCATGCAGCTGTTGACGCATTGTGTGAAAAAGCATATAAATTTTTGAATATAAATGATTGCACTCGTATTGTTCCGGCCAAGGTCAGGGTAGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACCATAAATGCATTACCTGAGATGGTGACTGATATTGTTGTTGTAGATGAAGTTAGCATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGTGCTAAGCATTATGTTTATATTGGTGATCCTGCTCAATTGCCAGCACCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTCATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATTGTTGATACAGTGTCCGCCTTGGTTTATGAAAATAAGCTTAAGGCTAAGAATGAGAGTAGTTCATTGTGTTTTAAGGTCTATTATAAGGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCTGTTTTTATTAGCCCATATAATAGTCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTACAAACCCAAACCGTGGATTCTGCTCAAGGTTCTGAATACGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCCATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTTGAAGCATTACAGTTTACTACATTGACCTTAGATAAAGTGCCACAGGCCGTTGAAACTAAAGTTCAA >CC14_nsp10_VIPR_ALG4_AVV64331_1_16098_17906_1_2014_03_China_Swine_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTTTGCTCTTCTCAAACTTCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTATGATCATGTTATGGCAACTGATCATAAATATGTTTTGAGTGTTTCACCATATGTGTGTAATGCACCAGGATGTGATGTAAATGATGTTACCAGATTGTATCTAGGTGGTATGTCATATTATTGTGAAGACCATAAGCCACAATATTCATTCAAGTTGGTAATGAATGGTATGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATTGATGATTTTAATCGCATTGCCAGTTGTAAATGGACCGATGTGGACGATTACATATTGGCAAATGAGTGTACAGAGCGCTTGAAATTGTTTGCTGCAGAAACTCAAAAGGCAACTGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAAATTGTTAGTGAGCGCGAATTGATCCTCTCTTGGGAGATTGGAAAAGTGAAGCCGCCACTTAATAAGAATTATGTTTTTACTGGCTACCATTTTACTAAAAATGGCAAGACAGTCTTAGGTGAATATGTTTTTGATAAAAGTGAGTTGACTAATGGTGTGTATTATCGCGCCACAACCACTTATAAGCTATCTGTAGGTGATGTTTTTGTGTTAACATCGCACTCGGTAGCTAATTTAAGTGCTCCTACGCTTGTCCCGCAGGAGAATTATAGTAGCATTAGATTTGCTAGTGTTTATAGTGTGCTTGAGACGTTTCAGAACAATGTTGTTAATTATCAACATATTGGAATGAAACGCTATTGCACCGTGCAAGGACCTCCTGGTACAGGGAAGTCACACCTTGCTATTGGTCTTGCTGTATATTATTGTACAGCGCGTGTAGTATACACTGCGGCCAGCCATGCAGCTGTAGACGCATTGTGTGAAAAAGCATACAAATTTTTGAATATAAATGATTGCACTCGTATTGTACCTGCTAAGGTCAGGGTTGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACCATAAATGCATTACCTGAAATGGTGACTGATATTGTTGTTGTAGATGAAGTTAGTATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGCGCTAAGCATTATGTTTATATTGGTGACCCTGCTCAATTGCCAGCACCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATACTTTAACACTGTTACTAAGCTCATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTACAGATGTCCTAAGGAAATTGTTGATACAGTGTCCGCCTTGGTTTATGAAAATAAGCTTAAGGCTAAGAATGAAAGTAGTTCATTGTGTTTTAAGGTCTATTATAAGGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAATCCCTTGTGGCATAAAGCCGTTTTTATTAGCCCATATAATAGTCAGAACTTTGCAGCTAAGCGTGTTTTGGGATTACAAACCCAGACCGTGGATTCTGCTCAAGGTTCTGAATACGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCTATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTTGAAGCATTACAGTTTACTACATTGACCTTAGATAAAGTGCCACAGGCCGTCGAAACGAAAGTTCAA >5240_2007_nsp10_VIPR_ALG4_701216652_16100_17908_1_2007_05_China_Human_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGCTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTATGATCATGTTATGGCGACTGATCATAAATATGTCTTGAGTGTTTCACCATATGTGTGTAATGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGACCATAAGCCACAATATTCATTCAAGTTGGTAATGAATGGTCTGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGACGATTTTAATCGTATAGCTAGTTGTAAATGGACCGATGTGGATGATTACATACTAGCTAATGAATGTACAGAGCGCTTGAAATTGTTTGCTGCAGAAACGCAAAAGGCAACCGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGTGAGCGCGAATTGATTCTCTCTTGGGAGATTGGAAAAGTTAAGCCACCACTTAATAAAAATTATGTTTTTACTGGCTACCATTTTACTAAAAACGGTAAGACAGTTTTAGGTGAGTATGTTTTTGATAAGAGTGAGTTGACTAATGGTGTGTATTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCTACGCTTGTTCCGCAGGAGAATTATAGTAGTATTAGATTTGCTAGTGTTTATAGTGTGCTTGAGACGTTTCAGAACAATGTTGTTAATTATCAACACATTGGTATGAAACGTTACTGTACCGTGCAAGGACCTCCTGGTACAGGGAAGTCACATCTTGCTATTGGTCTTGCTGTATTTTATTGTACAGCACGTGTTGTATACACAGCGGCCAGCCATGCAGCTGTTGACGCATTGTGTGAAAAAGCATATAAATTTTTGAATATAAATGATTGCACTCGTATTGTTCCGGCCAAGGTCAGGGTAGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACCATAAATGCATTACCTGAGATGGTGACTGATATTGTTGTTGTAGATGAAGTTAGCATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGTGCTAAGCATTATGTTTATATTGGTGATCCTGCTCAATTGCCAGCACCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTCATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATTGTTGATACAGTGTCCGCCTTGGTTTATGAAAATAAGCTTAAGGCTAAGAATGAGAGTAGTTCATTGTGTTTTAAGGTCTATTATAAGGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCTGTTTTTATTAGCCCATATAATAGTCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTACAAACCCAAACCGTGGATTCTGCTCAAGGTTCTGAATACGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCCATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTTGAAGCATTACAGTTTACTACATTGACCTTAGATAAAGTGCCACAGGCCGTTGAAACTAAAGTTCAA >SHG_3_nsp10_VIPR_ALG4_BBM61214_1_16077_17885_1_2014_12_Japan_Unknown_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGCTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTACGATCATGTTATGGCAACTGATCATAAATATGTTTTGAGTGTTTCACCATATGTGTGTAACGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGGTCATAAGCCACAATATTCGTTTAAGTTGGTAATGAATGGTATGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGATGATTTTAATCGTATAGCTAGTTGTAAATGGACTGATGTTGATGATTACATACTGGCTAATGAATGTACAGAGCGCTTGAAATTGTTTGCTGCAGAAACTCAAAAGGCGACTGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGCGAGCGCGAATTGATCCTTTCTTGGGAGATTGGAAAAGTGAAGCCACCACTTAATAAAAATTATGTTTTTACTGGCTACCATTTTACTAAAAATGGCAAGACAGTTTTAGGTGAGTATGTTTTTGATAAGAGTGAGTTGACTAATGGTGTGTATTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCCACGCTTGTGCCGCAGGAGAATTATAGTAGTATTAGATTTGCTAGTGTTTATAGTGTGCTTGAGACGTTTCAGAACAATGTCGTTAATTATCAACACATTGGTATGAAACGTTATTGTACCGTGCAAGGGCCTCCTGGTACAGGAAAGTCACATCTTGCTATTGGTCTTGCTGTTTATTATTGTACAGCACGTGTAGTATACACTGCGGCCAGCCATGCAGCTGTTGACGCATTGTGTGAAAAAGCATACAAATTTTTGAATATAAATGACTGCACTCGTATTGTTCCTGCCAAGGTCAGGGTGGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACTATAAATGCATTACCTGAGATGGTGACTGATATTGTTGTTGTAGATGAAGTTAGTATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGTGCTAAGCATTATGTTTACATTGGTGATCCTGCTCAATTGCCAGCGCCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTTATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATTGTTGATACAGTGTCTGCCTTGGTTTATGAAAATAAGCTTAAGGCTAAGAATGAAAGTAGTTCATTGTGTTTTAAGGTCTATTATAAAGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCCGTTTTTATTAGCCCATATAATAGCCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTGCAAACCCAGACCGTGGATTCTGCTCAAGGTTCTGAATATGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCTATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTTGAAGCATTACAGTTTACTACATTGACCTTAGATAAAGTGCCACAGGCCGTTGAAACGAGAGTTCAA >MY_U413_12_nsp10_VIPR_ALG4_AQN78677_1_16100_17908_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGCTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTATGATCACGTTATGGCGACTGATCATAAATATGTCTTGAGTGTTTCACCATATGTGTGTAATGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGACCATAAGCCACAATATTCATTCAAGTTGGTAATGAATGGTCTGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGACGATTTTAATCGTATAGCTAGTTGTAAATGGACCGATGTGGATGATTACATACTAGCTAATGAATGTACAGAGCGCTTGAAATTGTTTGCTGCAGAAACGCAAAAGGCAACCGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGTGAGCGCGAATTGATTCTCTCTTGGGAGATTGGAAAAGTTAAGCCACCACTTAATAAAAATTATGTTTTTACTGGCTACCATTTTACTAAAAATGGTAAGACAGTTTTAGGTGAGTATGTTTTTGATAAGAGTGAGTTGACTAATGGTGTGTATTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCTACGCTTGTTCCGCAGGAGAATTATAGTAGTATTAGATTTGCTAGTGTTTATAGTGTGCTTGAGACGTTTCAGAACAATGTTGTTAATTATCAACACATTGGTATGAAACGTTACTGTACCGTGCAAGGACCTCCTGGTACAGGGAAGTCACATCTTGCTATTGGTCTTGCTGTATTTTATTGTACAGCACGTGTTGTATACACAGCGGCCAGCCATGCAGCTGTTGACGCATTGTGTGAAAAAGCATATAAATTTTTGAATATAAATGATTGCACTCGTATTGTTCCGGCCAAGGTCAGGGTAGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACCATAAATGCATTACCTGAGATGGTGACTGATATTGTTGTTGTAGATGAAGTTAGCATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGTGCTAAGCATTATGTTTATATTGGTGATCCTGCTCAATTGCCAGCACCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTCATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATTGTTGATACAGTGTCCGCCTTGGTTTATGAAAATAAGCTTAAGGCTAAGAATGAGAGTAGTTCATTGTGTTTTAAGGTCTATTATAAGGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCTGTTTTTATTAGCCCATATAATAGTCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTACAAACCCAAACCGTGGATTCTGCTCAAGGTTCTGAATACGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCCATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTTGAAGCATTACAGTTTACTACATTGACCTTAGATAAAGTGCCACAGGCCGTTGAAACTAAAGTTCAA >TCG_6_nsp10_VIPR_ALG4_BBM61374_1_16077_17885_1_2007_12_Japan_Unknown_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGCTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTACGATCATGTTATGGCAACTGATCATAAATATGTTTTGAGTGTTTCACCATATGTGTGTAACGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGATCATAAGCCACAATATTCGTTTAAGTTGGTAATGAATGGTATGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGATGATTTTAATCGTATAGCTAGTTGTAAATGGACTGATGTTGATGATTACATACTGGCTAATGAATGTACAGAGCGCTTGAAATTGTTTGCTGCAGAAACTCAAAAGGCGACTGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGCGAGCGCGAATTGATCCTTTCTTGGGAGATTGGAAAAGTGAAGCCACCACTTAATAAAAATTATGTTTTTACTGGCTACCATTTTACTAAAAATGGCAAGACAGTTTTAGGTGAGTATGTTTTTGATAAGAGTGAGTTGACTAATGGTGTGTATTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCCACGCTTGTGCCGCAGGAGAATTATAGTAGTATTAGATTTGCTAGTGTTTATAGTGTGCTTGAGACGTTTCAGAACAATGTCGTTAATTATCAACACATTGGTATGAAACGTTATTGTACCGTGCAAGGACCTCCTGGTACAGGAAAGTCACATCTTGCTATTGGTCTTGCTGTTTATTATTGTACAGCACGTGTAGTATACACTGCGGCCAGCCATGCAGCTGTTGACGCATTGTGTGAAAAAGCATACAAATTTTTGAATATAAATGACTGCACTCGTATTGTTCCTGCCAAGGTCAGGGTGGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACTATAAATGCATTACCTGAGATGGTGACTGATATTGTTGTTGTAGATGAAGTTAGTATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGTGCTAAGCATTATGTTTACATTGGTGATCCTGCCCAATTGCCAGCACCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTTATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATTGTTGATACAGTGTCTGCCTTGGTTTATGAAAATAAGCTTAAGGCTAAGAATGAAAGTAGTTCATTGTGTTTTAAGGTCTATTATAAAGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCCGTTTTTATTAGCCCATATAATAGCCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTGCAAACCCAGACCGTGGATTCTGCTCAAGGTTCTGAATATGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCTATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTTGAAGCATTACAGTTTACTACATTGACCTTAGATAAAGTGCCACAGGCCGTTGAAACGAGAGTTCAA >DcCoV_HKU23_camel_Nigeria_NV1010_2015_nsp10_VIPR_ALG4_QEY10638_1_16086_17894_1_2015_11_20_Nigeria_Camel_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGCTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATTAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTACGATCATGTTATGGCAACTGATCATAAATATGTTTTGAGTGTTTCACCATATGTGTGTAACGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGATCATAAGCCACAATATTCGTTTAAGTTGGTAATGAATGGTATGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTATATAGATGATTTTAATCGTATAGCTAGTTGTAAATGGACTGATGTTGATGATTACATACTGGCTAATGAATGTACAGAGCGCTTGAAATTGTTTGCTGCAGAAACGCAAAAGGCGACTGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGCGAGCGCGAATTGATCCTCTCTTGGGAGATTGGAAAAGTGAAGCCACCACTTAATAAAAATTATGTTTTTACTGGCTACCATTTTACTAAAAATGGCAAGACAGTTTTAGGTGAATATGTTTTTGATAAGAGTGAGTTGACTAATGGTGTGTATTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCTACGCTTGTGCCGCAGGAGAATTATAGTAGTATTAGATTTGCTAGTGTTTATAGTGTGCTTGAGACGTTTCAGAACAATGTCGTTAATTATCAACACATTGGTATGAAACGTTATTGTACCGTGCAAGGACCTCCTGGTACAGGAAAGTCACATCTTGCTATTGGTCTTGCTGTATATTATTGTACAGCACGTGTAGTATACACTGCGGCCAGCCATGCAGCTGTTGACGCATTGTGTGAAAAAGCATACAAATTTTTGAATATAAATGATTGCACTCGCATTGTTCCTGCCAAGGTTAGGGTGGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACTATAAATGCATTACCTGAGATGGTGACTGATATTGTTGTTGTAGATGAAGTTAGTATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGTGCTAAGCATTATGTTTATATTGGTGATCCTGCTCAATTGCCAGCACCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTTATGTGCTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATTGTTGATACAGTGTCTGCCTTGGTTTACGAAAATAAGCTTAAGGCTAAGAATGAAAGTAGTTCATTGTGTTTTAAGGTCTATTATAAAGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGTATAAAGCCGTTTTTATTAGCCCATATAATAGTCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTGCAAACCCAGACCGTGGATTCTGCTCAAGGTTCTGAATATGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCTATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTTGAAGCATTACAGTTTACTACATTGACCTTGGATAAAGTGCCACAGGCCGTTGAAACGAGAGTTCAA >IWT_25_nsp10_VIPR_ALG4_BBM61164_1_16074_17882_1_2017_01_Japan_Unknown_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGCTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTACGATCATGTTATGGCAACTGATCATAAATATGTTTTGAGTGTTTCACCATATGTGTGTAACGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGATCATAAGCCACAATATTCGTTTAAGTTGGTAATGAATGGTATGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGATGATTTTAATCGTATAGCTAGTTGTAAATGGACTGATGTTGATGATTACATACTGGCTAATGAATGTACAGAGCGCTTGAAATTGTTTGCTGCAGAAACTCAAAAGGCGACTGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCCACAATACAAGAGATTGTTAGCGAGCGCGAATTGATCCTTTCTTGGGAGATTGGAAAAGTGAAGCCACCACTTAATAAAAATTATGTTTTTACTGGCTACCATTTTACTAAAAATGGCAAGACAGTTTTAGGTGAGTATGTTTTTGATAAGAGTGAGTTGACTAATGGTGTGTATTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCCACGCTTGTGCCGCAGGAGAATTATAGTAGTATTAGATTTGCTAGTGTTTATAGTGTGATTGAGACGTTTCAGAACAATGTCGTTAATTATCAACACATTGGTATGAAACGTTATTGTACCGTGCAAGGACCCCCTGGTACAGGAAAGTCACATCTTGCTATTGGTCTTGCTGTTTATTATTGTACAGCACGTGTAGTATACACTGCGGCCAGCCATGCAGCTGTTGACGCATTGTGTGAAAAAGCATACAAATTTTTGAATATAAATGACTGCACTCGTATTGTTCCTGCCAAGGTCAGGGTGGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACTATAAATGCATTACCTGAGATGGTGACTGATATTGTTGTTGTAGATGAAGTTAGTATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGTGCTAAGCATTATGTTTACATTGGTGATCCTGCCCAATTGCCAGCACCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTTATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATTGTTGATACAGTGTCTGCCTTGGTTTATGAAAATAAGCTTAAGGCTAAGAATGAAAGTAGTTCATTGTGTTTTAAGGTCTATTATAAAGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCCGTTTTTATTAGCCCATATAATAGCCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTGCAAACCCAGACCGTGGATTCTGCTCAAGGTTCTGAATATGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGTTTCAATGTTGCTATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTCGAAGCATTACAGTTTACTACATTGACCTTAGATAAAGTGCCACAGGCCGTTGAAACGAGAGTTCAA >3074A_2012_nsp10_VIPR_ALG4_701216687_16100_17908_1_2012_02_China_Human_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGCTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTATGATCATGTTATGGCGACTGATCATAAATATGTCTTGAGTGTTTCACCATATGTGTGTAATGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGACCATAAGCCACAATATTCATTCAAGTTGGTAATGAATGGTCTAGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGACGATTTTAATCGTATAGCTAGTTGTAAATGGACCGATGTGGATGATTACATACTAGCTAATGAATGTACAGAGCGCTTGAAATTGTTTGCTGCAGAAAGCCAAAAGGCAACCGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGTGAGCGCGAATTGATTCTCTCTTGGGAGATTGGAAAAGTTAAGCCACCACTTAATAAAAATTATGTTTTTACTGGTTACCATTTTACTAAAAACGGTAAGACAGTTTTAGGTGAGTATGTTTTTGATAAGAGTGAGTTGACTAATGGTGTGTATTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCTACGCTTGTTCCGCAGGAGAATTATAGTAGTATTAGATTTGCTAGTGTTTATAGTGTGCTTGAGACGTTTCAGAACAATGTTGTTAATTATCAACACATTGGTATGAAACGTTACTGTACCGTGCAAGGACCTCCTGGTACAGGGAAGTCACATCTTGCTATTGGTCTTGCTGTATTTTATTGTACAGCACGTGTTGTATACACAGCGGCCAGCCACGCAGCAGTTGACGCATTGTGTGAAAAAGCATATAAATTTTTGAATATAAATGATTGCACTCGTATTATTCCGGCCAAGGTCAGGGTAGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACCATAAATGCATTACCTGAGATGGTGACTGATATAGTTGTTGTAGATGAAGTTAGCATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGTGCTAAGCATTATGTTTATATTGGTGATCCTGCTCAATTGCCAGCACCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTCATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATCGTTGATACAGTGTACGCCTTGGTTTATGAAAATAAGCTTAAGGCTAAGAATGAGAGTAGTTCATTGTGTTTTAAGGTCTATTATAAGGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCTGTTTTTATTAGCCCATATAATAGTCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTACAAACCCAAACCGTGGATTCTGCTCAAGGTTCTGAATACGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCTATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTTGAAGCATTACAGTTTACTACATTGACCTTAGATAAAGTGCCACAGGCCGTTGAAACTAAAGTTCAA >5595_2007_nsp10_VIPR_ALG4_701216848_16100_17908_1_2007_07_China_Human_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGCTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTATGATCACGTTATGGCGACTGATCATAAATATGTCTTGAGTGTTTCACCATATGTGTGTAATGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGACCATAAGCCACAATATTCATTCAAGTTGGTAATGAATGGTCTGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGACGATTTTAATCGTATAGCTAGTTGTAAATGGACCGATGTGGATGATTACATACTAGCTAATGAATGTACAGAGCGCTTGAAATTGTTTGCTGCAGAAACGCAAAAGGCAACCGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGTGAGCGCGAATTGATTCTCTCTTGGGAGATTGGAAAAGTTAAGCCACCACTTAATAAAAATTATGTTTTTACTGGCTACCATTTTACTAAAAACGGTAAGACAGTTTTAGGTGAGTATGTTTTTGATAAGAGTGAGTTGACTAATGGTGTGTATTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCTACGCTTGTTCCGCAGGAGAATTATAGTAGTATTAGATTTGCTAGTGTTTATAGTGTGCTTGAGACGTTTCAGAACAATGTTGTTAATTATCAACACATTGGTATGAAACGTTACTGTACCGTGCAAGGACCTCCTGGTACAGGGAAGTCACATCTTGCTATTGGTCTTGCTGTATTTTATTGTACAGCACGTGTTGTATACACAGCGGCCAGCCATGCAGCTGTTGACGCATTGTGTGAAAAAGCATATAAATTTTTGAATATAAATGATTGCACTCGTATTGTTCCGGCCAAGGTCAGGGTAGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACCATAAATGCATTACCTGAGATGGTGACTGATATTGTTGTTGTAGATGAAGTTAGCATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGTGCTAAGCATTATGTTTATATTGGTGATCCTGCTCAATTGCCAGCACCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTCATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATTGTTGATACAGTGTCCGCCTTGGTTTATGAAAATAAGCTTAAGGCTAAGAATGAGAGTAGTTCATTGTGTTTTAAGGTCTATTATAAGGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCTGTTTTTATTAGCCCATATAATAGTCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTACAAACCCAAACCGTGGATTCTGCTCAAGGTTCTGAATACGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCCATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTTGAAGCATTACAGTTTACTACATTGACCTTAGATAAAGTGCCACAGGCCGTTGAAACTAAAGTTCAA >IWT_6_nsp10_VIPR_ALG4_BBM60994_1_16074_17882_1_2012_12_Japan_Unknown_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGCTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTACGATCATGTTATGGCAACTGATCATAAATATGTTTTGAGTGTTTCACCATATGTGTGTAACGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGATCATAAGCCACAATATTCGTTTAAGTTGGTAATGAATGGTATGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGATGATTTTAATCGTATAGCTAGTTGTAAATGGACTGATGTTGATGATTACATACTGGCTAATGAATGTACAGAGCGCTTGAAATTGTTTGCTGCAGAAACTCAAAAGGCGACTGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGCGAGCGCGAATTGATCCTTTCTTGGGAGATTGGAAAAGTGAAGCCACCACTTAATAAAAATTATGTTTTTACTGGCTACCATTTTACTAAAAATGGCAAGACAGTTTTAGGTGAGTATGTCTTTGATAAGAGTGAGTTGACTAATGGTGTTTATTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCCACGCTTGTGCCGCAGGAGAATTATAGTAGTATTAGATTTGCTAGTGTTTATAGTGTGCTTGAGACGTTTCAGAACAATGTCGTTAATTATCAACACATTGGTATGAAACGTTATTGTACCGTGCAAGGACCTCCTGGTACAGGAAAGTCACATCTTGCTATTGGTCTTGCTGTTTATTATTGTACAGCACGTGTAGTATACACTGCGGCCAGCCATGCAGCTGTTGACGCATTGTGTGAAAAAGCATACAAATTTTTGAATATAAATGACTGCACTCGTATTGTTCCTGCCAAGGTCAGGGTGGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACTATAAATGCATTACCTGAGATGGTGGCTGATATTGTTGTTGTAGATGAAGTTAGTATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGTGCTAAGCATTATGTTTACATTGGTGATCCTGCTCAATTGCCAGCGCCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTTATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATTGTTGATACAGTGTCTGCCTTGGTTTATGAAAATAAGCTTAAGGCTAAGAATGAAAGTAGTTCATTGTGTTTTAAGGTCTATTATAAAGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCCGTTTTTATTAGCCCATATAATAGCCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTGCAAACCCAGACCGTGGATTCTGCTCAAGGTTCTGAATATGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCTATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTCGAAGCATTACAGTTTACTACATTGACCTTAGATAAAGTGCCACAGGCCGTTGAAACGAGAGTTCAA >IWT_3_nsp10_VIPR_ALG4_BBM60964_1_16077_17885_1_2011_06_Japan_Unknown_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGCTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTACGATCATGTTATGGCAACTGATCATAAATATGTTTTGAGTGTTTCACCATATGTGTGTAACGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGATCATAAGCCACAATATTCGTTTAAGTTGGTAATGAATGGTATGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGATGATTTTAATCGTATAGCTAGTTGTAAATGGACTGATGTTGATGATTACATACTGGCTAATGAATGTACAGAGCGCTTGAAATTGTTTGCTGCAGAAACTCAAAAGGCGACTGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGCGAGCGCGAATTGATCCTTTCTTGGGAGATTGGAAAAGTGAAGCCACCACTTAATAAAAATTATGTTTTTACTGGCTACCATTTTACTAAAAATGGCAAGACAGTTTTAGGTGAGTATGTTTTTGATAAGAGTGAGTTGACTAATGGTGTGTATTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCCACGCTTGTGCCGCAGGAGAATTATAGTAGTATTAGATTTGCTAGTGTTTATAGTGTGCTTGAGACGTTTCAGAACAATGTTGTTAATTATCAACACATTGGTATGAAACGTTATTGTACCGTGCAAGGACCTCCTGGTACAGGAAAGTCACATCTTGCTATTGGTCTTGCTGTTTATTATTGTACAGCACGTGTAGTATACACTGCGGCCAGCCATGCAGCTGTTGACGCATTGTGTGAAAAAGCATACAAATTTTTGAATATAAATGACTGCACTCGTATTGTTCCTGCCAAGGTCAGGGTGGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACTATAAATGCATTACCTGAGATGGTGACTGATATTGTTGTTGTAGATGAAGTTAGTATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGTGCTAAGCATTATGTTTACATTGGTGATCCTGCCCAATTGCCAGCACCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTTATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATTGTTGATACAGTGTCTGCCTTGGTTTATGAAAATAAGCTTAAGGCTAAGAATGAAAGTAGTTCATTGTGTTTTAAGGTCTATTATAAAGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATACAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCCGTTTTTATTAGCCCATATAATAGCCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTGCAAACCCAGACCGTGGATTCTGCTCAAGGTTCTGAATATGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCTATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTCGAAGCATTACAGTTTACCACATTGACCTTAGATAAAGTGCCACATGCCGTTGAAACGAGAGTTCAA >1783A_10_nsp10_VIPR_ALG4_744516694_16100_17908_1_2010_01_China_Human_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGCTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTATGATCATGTTATGGCGACTGATCATAAATATGTCTTGAGTGTTTCACCATATGTGTGTAATGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGACCATAAGCCACAATATTCATTCAAGTTGGTAATGAATGGTCTAGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGACGATTTTAATCGTATAGCTAGTTGTAAATGGACCGATGTGGATGATTACATACTAGCTAATGAATGTACAGAGCGCTTGAAATTGTTTGCTGCAGAAACGCAAAAGGCAACCGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGTGAGCGCGAATTGATTCTCTCTTGGGAGATTGGAAAAGTTAAGCCACCACTTAATAAAAATTATGTTTTTACTGGTTACCATTTTACTAAAAACGGTAAGACAGTTTTAGGTGAGTATGTTTTTGATAAGAGTGAGTTGACTAATGGTGTGTATTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCTACGCTTGTTCCGCAGGAGAATTATAGTAGTATTAGATTTGCTAGTGTTTATAGTGTGCTTGAGACGTTTCAGAACAATGTTGTTAATTATCAACACATTGGTATGAAACGTTACTGTACCGTGCAAGGACCTCCTGGTACAGGGAAGTCACATCTTGCTATTGGTCTTGCTGTATTTTATTGTACAGCACGTGTTGTATACACAGCGGCCAGCCACGCAGCAGTTGACGCATTGTGTGAAAAAGCATATAAATTTTTGAATATAAATGATTGCACTCGTATTATTCCGGCCAAGGTCAGGGTAGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACCATAAATGCATTACCTGAGATGGTGACTGATATAGTTGTTGTAGATGAAGTTAGCATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGTGCTAAGCATTATGTTTATATTGGTGATCCTGCTCAATTGCCAGCACCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTCATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATCGTTGATACAGTGTCCGCCTTGGTTTATGAAAATAAGCTTAAGGCTAAGAATGAGAGTAGTTCATTGTGTTTTAAGGTCTATTATAAGGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCTGTTTTTATTAGCCCATATAATAGTCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTACAAACCCAAACCGTGGATTCTGCTCAAGGTTCTGAATACGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCTATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTTGAAGCATTACAGTTTACTACATTGACCTTAGATAAAGTGCCACAGGCCGTTGAAACTAAAGTTCAA >BJ_165_nsp10_VIPR_ALG4_AXX83312_1_16004_17812_1_2015_06_09_China_Unknown_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGCTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTATGATCATGTTATGGCGACTGATCATAAATATGTCTTGAGTGTTTCACCATATGTGTGTAATGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGACCATAAGCCACAATATTCATTCAAGTTGGTAATGAATGGTCTGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGACGATTTTAATCGTATAGCTAGTTGTAAATGGACCGATGTGGATGATTACATACTAGCTAATGAATGTACAGAGCGCTTGAAATTGTTTGCTGCAGAAACGCAAAAGGCAACCGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGTGAGCGCGAATTGATTCTCTCTTGGGAGATTGGAAAAGTTAAGCCACCACTTAATAAAAATTATGTTTTTACTGGCTACCATTTTACTAAAAATGGTAAGACAGTTTTAGGTGAGTATGTTTTTGATAAGAGTGAGTTGACTAATGGTGTGTATTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCTACGCTTGTTCCGCAGGAGAATTATAGTAGTATTAGATTTGCTAGTGTTTATAGTGTGCTTGAGACGTTTCAGAACAATGTTGTTAATTATCAACACATTGGTATGAAACGTTACTGTACCGTGCAAGGACCTCCTGGTACAGGGAAGTCACATCTTGCTATTGGTCTTGCTGTATTTTATTGTACAGCACGTGTTGTATACACAGCGGCCAGCCATGCAGCTGTTGATGCATTGTGTGAAAAAGCATATAAATTTTTGAATATAAATGATTGCACTCGTATTGTTCCGGCCAAGGTCAGGGTAGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACCATAAATGCATTACCTGAGATGGTGACTGATATTGTTGTTGTAGATGAAGTTAGCATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGTGCTAAGCATTATGTTTATATTGGTGATCCTGCCCAATTGCCAGCACCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTCATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATTGTTGATACAGTGTCCGCCTTGGTTTATGAAAATAAGCTTAAGGCTAAGAATGAGAGTAGTTCATTGTGTTTTAAGGTCTATTATAAGGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCTGTTTTTATTAGCCCATATAATAGTCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTACAAACCCAAACCGTGGATTCTGCTCAAGGTTCTGAATACGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCCATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTTGAAGCATTACAGTTTACTACATTGACCTTAGATAAAGTGCCACAGGCCGTTGAAACTAAAGTTCAA >3269A_2012_nsp10_VIPR_ALG4_701216694_16100_17908_1_2012_06_China_Human_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGCTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTATGATCATGTTATGGCGACTGATCATAAATATGTCTTGAGTGTTTCACCATATGTGTGTAATGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGACCATAAGCCACAATATTCATTCAAGTTGGTAATGAATGGTCTGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGACGATTTTAATCGTATAGCTAGTTGTAAATGGACCGATGTGGATGATTACATACTAGCTAATGAATGTACAGAGCGCTTGAAATTGTTTGCTGCAGAAACGCAAAAGGCAACCGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGTGAGCGCGAATTGATTCTCTCTTGGGAGATTGGAAAAGTTAAGCCACCACTTAATAAAAATTATGTTTTTACTGGCTACCATTTTACTAAAAATGGTAAGACAGTTTTAGGTGAGTATGTTTTTGATAAGAGTGAGTTGACTAATGGTGTGTATTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCTACGCTTGTTCCGCAGGAGAATTATAGTAGTATTAGATTTGCTAGTGTTTATAGTGTGCTTGAGACGTTTCAGAACAATGTTGTTAATTATCAACACATTGGTATGAAACGTTACTGTACCGTGCAAGGACCTCCTGGTACAGGGAAGTCACATCTTGCTATTGGTCTTGCTGTATTTTATTGTACAGCACGTGTTGTATACACAGCGGCCAGCCATGCAGCTGTTGACGCATTGTGTGAAAAAGCATATAAATTTTTGAATATAAATGATTGCACTCGTATTGTTCCGGCCAAGGTCAGGGTAGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACCATAAATGCATTACCTGAGATGGTGACTGATATTGTTGTTGTAGATGAAGTTAGCATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGTGCTAAGCATTATGTTTATATTGGTGATCCTGCTCAATTGCCAGCACCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTCATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATTGTTGATACAGTGTCCGCCTTGGTTTATGAAAATAAGCTTAAGGCTAAGAATGAGAGTAGTTCATTGTGTTTTAAGGTCTATTATAAGGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCTGTTTTTATTAGCCCATATAATAGTCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTACAAACCCAAACCGTGGATTCTGCTCAAGGTTCTGAATACGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCCATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTTGAAGCATTACAGTTTACTACATTGACCTTAGATAAAGTGCCACAGGCCGTTGAAACTAAAGTTCAA >Kakegawa_nsp10_VIPR_ALG4_155369168_16101_17909_1_NA_Japan_Unknown_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGCTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTACGATCATGTTATGGCAACTGATCATAAATATGTTTTGAGTGTTTCACCATATGTGTGTAACGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGATCATAAGCCACAATATTCGTTTAAGTTGGTAATGAATGGTATGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGATGATTTTAATCGTATAGCTAGTTGTAAATGGACTGATGTTGATGATTACATACTGGCTAATGAATGTACAGAGCGCTTGAAATTGTTTGCTGCAGAAACGCAAAAGGCGACTGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGTGAGCGCGAATTGATCCTCTCTTGGGAGATTGGAAAAGTGAAGCCACCACTTAATAAAAATTATGTTTTTACTGGCTACCATTTTACTAAAAATGGCAAGACAGTTTTAGGTGAGTATGTTTTTGATAAGAGTGAGTTGACTAATGGTGTGTATTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCTACGCTTGTGCCGCAGGAGAATTATAGTAGTATTAGATTTGCTAGTGTTTATAGTGTGCTTGAGACATTTCAGAACAATGTTGTGAACTATCAACACATTGGTATGAAACGTTATTGCACCGTGCAAGGACCTCCTGGTACAGGAAAGTCACATCTTGCTATTGGTCTTGCTGTATATTATTGTACAGCACGTGTAGTATACACTGCGGCCAGCCATGCAGCTGTTGACGCATTGTGTGAAAAAGCATACAAATTTTTGAATATAAATGATTGCACTCGTATTGTTCCTGCCAAGGTCAGGGTGGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACTATAAATGCATTACCTGAGATGGTGACTGATATTGTTGTTGTAGATGAAGTTAGTATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGCGCTAAGCATTATGTTTATATTGGTGATCCTGCTCAATTGCCAGCACCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTTATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATCGTTGATACAGTGTCTGCCTTGGTTTATGAAAATAAGCTTAAGGCTAAGAATGAAAGTAGTTCATTGTGTTTTAAGGTCTATTATAAAGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCCGTTTTTATTAGCCCATATAATAGTCAGAACTTTGCAGCTAAGCGCGTTTTGGGTTTGCAAACCCAAACCGTGGATTCTGCGCAAGGTTCTGAATATGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCTATTACTCGAGCCAAGAAAGGTATTCTTTGCGTTATGAGTAATATGCAGTTGTTTGAAGCATTACAGTTTACTACATTGACCGTAGATAAAGTGCCACAGGCCGTTGAAACGAGAGTTCAA >HCoV_OC43_Seattle_USA_SC0841_2019_nsp10_VIPR_ALG4_QEG03773_1_16098_17906_1_2019_USA_Human_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGCTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTATGATCACGTTATGGCGACTGATCATAAATATGTCTTGAGTGTTTCACCATATGTGTGTAATACACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTAGGTGGTATGTCATATTATTGTGAAGACCATAAGCCACAATATTCATTCAAGTTGGTAATGAATGGTCTGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGACGATTTTAATCGTATAGCTAGTTGTAAATGGACCGATGTGGATGATTACATACTAGCTAATGAATGTACAGAGCGCTTGAAATTGTTTGCTGCAGAAACGCAAAAGGCAACCGAGGAAGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGTGAGCGCGAATTGATTCTCTCTTGGGAGATTGGAAAAGTTAAGCCACCACTTAATAAAAATTATGTTTTTACTGGCTACCATTTTACTAAAAATGGTAAGACAGTTTTAGGTGAGTATGTTTTTGATAAGAGTGAGTTGACTAATGGTGTGTATTATCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCTACGCTTGTTCCGCAGGAGAATTATAGTAGTATTAGATTTGCTAGTGTTTATAGTGTGCTTGAGACGTTTCAGAACAATGTTGTTAATTATCAACACATTGGTATGAAACGTTACTGTACCGTGCAAGGACCTCCTGGTACAGGGAAGTCACATCTTGCTATTGGTCTTGCTGTATTTTATTGTACAGCACGTGTTGTATACACAGCGGCCAGCCATGCAGCTGTTGACGCATTGTGTGAAAAAGCATATAAATTTTTGAATATAAATGATTGCACTCGTATTGTTCCGGCCAAGGTCAGGGTAGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACCATAAATGCATTACCTGAGATGGTGACTGATATTGTTGTTGTAGATGAAGTTAGCATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGTGCTAAGCATTATGTTTATATTGGTGATCCTGCTCAATTGCCAGCACCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTCATGTGTTGCATAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATTGTTGACACAGTGTCCGCCTTGGTTTATGAAAATAAGCTTAAGGCTAAGAATGAGAGTAGTTCATTGTGTTTTAAGGTCTATTATAAGGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCTGTTTTTATTAGCCCATATAATAGTCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTACAAACCCAAACCGTGGATTCTGCTCAAGGTTCTGAATATGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCCATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTTGAAGCATTACAGTTTACTACATTGACCTTAGATAAAGTGCCACAGGCCGTTGAAACTAAAGTTCAA >4_17_25_nsp10_VIPR_ALG4_AVZ61106_1_16101_17909_1_2017_04_USA_Cattle_Betacoronavirus_1 AGTGTTGGAGCTTGCGTGGTCTGCTCTTCTCAAACATCATTACGTTGTGGCAGTTGCATCAGAAAGCCTCTTCTTTGCTGCAAGTGTTGTTACGATCATGTTATGGCAACTGATCATAAATATGTTTTGAGTGTTTCACCATATGTGTGTAACGCACCAGGATGTGATGTAAATGATGTTACCAAATTGTATCTGGGTGGTATGTCATATTATTGTGAAGATCATAAGCCACAATATTCGTTTAAGTTGGTAATGAATGGTATGGTTTTTGGTCTATATAAACAATCTTGTACAGGATCTCCGTACATAGATGATTTTAATCGTATAGCTAGTTGTAAATGGACTGATGTTGATGATTACATACTGGCTAATGAATGTACAGAGCGCTTGAAATTGTTTGCTGCAGAAACGCAAAAGGCGACTGAGGAGGCCTTTAAGCAGAGTTATGCATCAGCAACAATACAAGAGATTGTTAGCGAGCGCGAATTGATCCTCTCTTGGGAGATTGGAAAAGTGAAGCCACCACTTAATAAAAATTATGTTTTTACTGGCTACCATTTTACTAAAAATGGTAAGACAGTTTTAGGTGAGTATATTTTTGATAAGAGTGAGTTGACTAATGGTGTGTATTACCGCGCCACAACCACTTATAAGCTATCTGTAGGAGATGTTTTTGTTTTAACCTCTCATTCAGTAGCTAATTTAAGTGCTCCTACGCTTGTGCCGCAGGAGAATTATAGTAGTATTAGATTTGCTAGTGTTTATAGTGTGCTTGAGACTTTTCAGAACAATGTCGTTAATTATCAACACATTGGTATGAAACGTTATTGTACCGTGCAAGGACCTCCTGGTACAGGAAAGTCACATCTTGCTATTGGTCTTGCTGTTTATTATTGTACAGCACGTGTAGTATATACTGCGGCCAGCCATGCAGCTGTTGACGCATTGTGTGAAAAAGCATACAAATTTTTGAATATAAATGACTGCACTCGTATTGTTCCTGCCAAGGTCAGGGTGGAGTGCTATGATAAGTTTAAAATTAATGACACCACTCGTAAGTATGTGTTTACTACTATAAATGCATTACCTGAGATGGTGACTGATATTGTTGTTGTAGATGAAGTTAGTATGCTTACCAATTATGAGCTTTCTGTTATTAATGCTCGTATTCGTGCTAAGCATTATGTTTACATTGGTGATCCTGCTCAATTGCCAGCACCACGTGTGTTATTGAGCAAGGGTACACTTGAACCTAAATATTTTAACACTGTTACTAAGCTTATGTGTTGCTTAGGGCCAGACATTTTTCTTGGTACATGTTATAGATGTCCTAAGGAAATTGTTGATACAGTGTCTGCCTTGGTTTATGAAAATAAGCTTAAGGCTAAGAATGAAAGTAGTTCATTGTGTTTTAAGGTCTATTATAAAGGCGTTACAACACATGAAAGTTCTAGTGCTGTAAATATGCAGCAGATTTATTTGATTAATAAGTTTTTGAAGGCTAACCCTTTGTGGCATAAAGCCGTTTTTATTAGCCCATATAATAGCCAGAACTTTGCAGCTAAGCGTGTTTTGGGTTTGCAAACCCAGACCGTGGATTCTGCTCAAGGTTCTGAATATGATTATGTTATATATTCACAGACTGCAGAAACAGCGCATTCTGTAAATGTTAATCGCTTCAATGTTGCTATTACTCGAGCCAAGAAAGGTATTCTTTGTGTTATGAGTAATATGCAGTTGTTTGAAGCATTACAGTTTACTACATTGACCTTAGATAAAGTGCCACAGGCCGTTGAAACGAGAGTTCAA
>TCG_2_nsp10_VIPR_ALG4_BBM61284_1_16052_17860_1_2006_12_Japan_Unknown_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGMVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVYYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVETRVQ >SHG_2_nsp10_VIPR_ALG4_BBM61204_1_16070_17878_1_2014_09_Japan_Unknown_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGMVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVYYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLNKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVETRVQ >OC43_human_USA_901_41_1990_nsp10_VIPR_ALG4_530802215_16081_17889_1_1990_01_17_USA_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVIVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVETKVQ >10574_2010_nsp10_VIPR_ALG4_701216890_16100_17908_1_2010_09_China_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVETKVQ >TNP_F1834_2_nsp10_VIPR_ALG4_AWW13548_1_16093_17901_1_2016_12_28_Cote_dIvoire_Chimpanzee_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLIPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVETKVQ >CC_23_nsp10_VIPR_ALG4_AXX83324_1_16022_17830_1_2015_07_13_China_Unknown_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTVDKVPQAVETKVQ >HCoV_OC43_Seattle_USA_SC831_2016_nsp10_VIPR_ALG4_APU51923_1_16081_17889_1_2016_USA_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVETKVQ >OC43_human_USA_872_5_1987_nsp10_VIPR_ALG4_530802445_16081_17889_1_1987_02_10_USA_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIIPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVIVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVETKVQ >69A_2007_nsp10_VIPR_ALG4_701216862_16100_17908_1_2007_05_China_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAEETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVETKVQ >IWT_18_nsp10_VIPR_ALG4_BBM61074_1_16077_17885_1_2016_12_Japan_Unknown_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGMVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVYYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVETRVQ >YC_55_nsp10_VIPR_ALG4_AXX83348_1_16004_17812_1_2015_03_12_China_Unknown_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVETKVQ >OC43_human_USA_991_5_1999_nsp10_VIPR_ALG4_530802390_16080_17888_1_1999_01_07_USA_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVETKVQ >HCoV_OC43_Seattle_USA_SC2269_2016_nsp10_VIPR_ALG4_ARA15417_1_16062_17870_1_2016_USA_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVETKVQ >CC14_nsp10_VIPR_ALG4_AVV64331_1_16098_17906_1_2014_03_China_Swine_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTRLYLGGMSYYCEDHKPQYSFKLVMNGMVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVYYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVETKVQ >5240_2007_nsp10_VIPR_ALG4_701216652_16100_17908_1_2007_05_China_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVETKVQ >SHG_3_nsp10_VIPR_ALG4_BBM61214_1_16077_17885_1_2014_12_Japan_Unknown_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEGHKPQYSFKLVMNGMVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVYYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVETRVQ >MY_U413_12_nsp10_VIPR_ALG4_AQN78677_1_16100_17908_1_2012_05_02_Malaysia_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVETKVQ >TCG_6_nsp10_VIPR_ALG4_BBM61374_1_16077_17885_1_2007_12_Japan_Unknown_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGMVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVYYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVETRVQ >DcCoV_HKU23_camel_Nigeria_NV1010_2015_nsp10_VIPR_ALG4_QEY10638_1_16086_17894_1_2015_11_20_Nigeria_Camel_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGMVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVYYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWYKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVETRVQ >IWT_25_nsp10_VIPR_ALG4_BBM61164_1_16074_17882_1_2017_01_Japan_Unknown_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGMVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVIETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVYYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVETRVQ >3074A_2012_nsp10_VIPR_ALG4_701216687_16100_17908_1_2012_02_China_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAESQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIIPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVYALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVETKVQ >5595_2007_nsp10_VIPR_ALG4_701216848_16100_17908_1_2007_07_China_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVETKVQ >IWT_6_nsp10_VIPR_ALG4_BBM60994_1_16074_17882_1_2012_12_Japan_Unknown_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGMVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVYYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTINALPEMVADIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVETRVQ >IWT_3_nsp10_VIPR_ALG4_BBM60964_1_16077_17885_1_2011_06_Japan_Unknown_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGMVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVYYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNIQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPHAVETRVQ >1783A_10_nsp10_VIPR_ALG4_744516694_16100_17908_1_2010_01_China_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIIPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVETKVQ >BJ_165_nsp10_VIPR_ALG4_AXX83312_1_16004_17812_1_2015_06_09_China_Unknown_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVETKVQ >3269A_2012_nsp10_VIPR_ALG4_701216694_16100_17908_1_2012_06_China_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVETKVQ >Kakegawa_nsp10_VIPR_ALG4_155369168_16101_17909_1_NA_Japan_Unknown_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGMVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVYYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTVDKVPQAVETRVQ >HCoV_OC43_Seattle_USA_SC0841_2019_nsp10_VIPR_ALG4_QEG03773_1_16098_17906_1_2019_USA_Human_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNTPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGLVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYVFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVFYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCIGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVETKVQ >4_17_25_nsp10_VIPR_ALG4_AVZ61106_1_16101_17909_1_2017_04_USA_Cattle_Betacoronavirus_1 SVGACVVCSSQTSLRCGSCIRKPLLCCKCCYDHVMATDHKYVLSVSPYVCNAPGCDVNDVTKLYLGGMSYYCEDHKPQYSFKLVMNGMVFGLYKQSCTGSPYIDDFNRIASCKWTDVDDYILANECTERLKLFAAETQKATEEAFKQSYASATIQEIVSERELILSWEIGKVKPPLNKNYVFTGYHFTKNGKTVLGEYIFDKSELTNGVYYRATTTYKLSVGDVFVLTSHSVANLSAPTLVPQENYSSIRFASVYSVLETFQNNVVNYQHIGMKRYCTVQGPPGTGKSHLAIGLAVYYCTARVVYTAASHAAVDALCEKAYKFLNINDCTRIVPAKVRVECYDKFKINDTTRKYVFTTINALPEMVTDIVVVDEVSMLTNYELSVINARIRAKHYVYIGDPAQLPAPRVLLSKGTLEPKYFNTVTKLMCCLGPDIFLGTCYRCPKEIVDTVSALVYENKLKAKNESSSLCFKVYYKGVTTHESSSAVNMQQIYLINKFLKANPLWHKAVFISPYNSQNFAAKRVLGLQTQTVDSAQGSEYDYVIYSQTAETAHSVNVNRFNVAITRAKKGILCVMSNMQLFEALQFTTLTLDKVPQAVETRVQ
Reading sequence file /data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp10_VIPR_ALG4_QEY10630_1_16091_17899_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/codeml/fasta/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp10_VIPR_ALG4_QEY10630_1_16091_17899_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1
Found 30 sequences of length 1809
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 1.9%
Found 76 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 109 polymorphic sites
**p-Value(s)**
----------
NSS: 4.50e-01 (1000 permutations)
Max Chi^2: 8.57e-01 (1000 permutations)
PHI (Permutation): 1.43e-01 (1000 permutations)
PHI (Normal): 1.33e-01
#NEXUS
[ID: 8590269834]
begin taxa;
dimensions ntax=30;
taxlabels
OC43_human_USA_991_5_1999_nsp10_VIPR_ALG4_530802390_16080_17888_1_1999_01_07_USA_Human_Betacoronavirus_1
YC_55_nsp10_VIPR_ALG4_AXX83348_1_16004_17812_1_2015_03_12_China_Unknown_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC2269_2016_nsp10_VIPR_ALG4_ARA15417_1_16062_17870_1_2016_USA_Human_Betacoronavirus_1
MY_U413_12_nsp10_VIPR_ALG4_AQN78677_1_16100_17908_1_2012_05_02_Malaysia_Human_Betacoronavirus_1
SHG_3_nsp10_VIPR_ALG4_BBM61214_1_16077_17885_1_2014_12_Japan_Unknown_Betacoronavirus_1
TCG_6_nsp10_VIPR_ALG4_BBM61374_1_16077_17885_1_2007_12_Japan_Unknown_Betacoronavirus_1
5595_2007_nsp10_VIPR_ALG4_701216848_16100_17908_1_2007_07_China_Human_Betacoronavirus_1
3074A_2012_nsp10_VIPR_ALG4_701216687_16100_17908_1_2012_02_China_Human_Betacoronavirus_1
3269A_2012_nsp10_VIPR_ALG4_701216694_16100_17908_1_2012_06_China_Human_Betacoronavirus_1
BJ_165_nsp10_VIPR_ALG4_AXX83312_1_16004_17812_1_2015_06_09_China_Unknown_Betacoronavirus_1
10574_2010_nsp10_VIPR_ALG4_701216890_16100_17908_1_2010_09_China_Human_Betacoronavirus_1
4_17_25_nsp10_VIPR_ALG4_AVZ61106_1_16101_17909_1_2017_04_USA_Cattle_Betacoronavirus_1
OC43_human_USA_872_5_1987_nsp10_VIPR_ALG4_530802445_16081_17889_1_1987_02_10_USA_Human_Betacoronavirus_1
TCG_2_nsp10_VIPR_ALG4_BBM61284_1_16052_17860_1_2006_12_Japan_Unknown_Betacoronavirus_1
OC43_human_USA_901_41_1990_nsp10_VIPR_ALG4_530802215_16081_17889_1_1990_01_17_USA_Human_Betacoronavirus_1
SHG_2_nsp10_VIPR_ALG4_BBM61204_1_16070_17878_1_2014_09_Japan_Unknown_Betacoronavirus_1
CC_23_nsp10_VIPR_ALG4_AXX83324_1_16022_17830_1_2015_07_13_China_Unknown_Betacoronavirus_1
TNP_F1834_2_nsp10_VIPR_ALG4_AWW13548_1_16093_17901_1_2016_12_28_Cote_dIvoire_Chimpanzee_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC831_2016_nsp10_VIPR_ALG4_APU51923_1_16081_17889_1_2016_USA_Human_Betacoronavirus_1
IWT_18_nsp10_VIPR_ALG4_BBM61074_1_16077_17885_1_2016_12_Japan_Unknown_Betacoronavirus_1
CC14_nsp10_VIPR_ALG4_AVV64331_1_16098_17906_1_2014_03_China_Swine_Betacoronavirus_1
5240_2007_nsp10_VIPR_ALG4_701216652_16100_17908_1_2007_05_China_Human_Betacoronavirus_1
IWT_25_nsp10_VIPR_ALG4_BBM61164_1_16074_17882_1_2017_01_Japan_Unknown_Betacoronavirus_1
DcCoV_HKU23_camel_Nigeria_NV1010_2015_nsp10_VIPR_ALG4_QEY10638_1_16086_17894_1_2015_11_20_Nigeria_Camel_Betacoronavirus_1
1783A_10_nsp10_VIPR_ALG4_744516694_16100_17908_1_2010_01_China_Human_Betacoronavirus_1
IWT_6_nsp10_VIPR_ALG4_BBM60994_1_16074_17882_1_2012_12_Japan_Unknown_Betacoronavirus_1
IWT_3_nsp10_VIPR_ALG4_BBM60964_1_16077_17885_1_2011_06_Japan_Unknown_Betacoronavirus_1
69A_2007_nsp10_VIPR_ALG4_701216862_16100_17908_1_2007_05_China_Human_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC0841_2019_nsp10_VIPR_ALG4_QEG03773_1_16098_17906_1_2019_USA_Human_Betacoronavirus_1
Kakegawa_nsp10_VIPR_ALG4_155369168_16101_17909_1_NA_Japan_Unknown_Betacoronavirus_1
;
end;
begin trees;
translate
1 OC43_human_USA_991_5_1999_nsp10_VIPR_ALG4_530802390_16080_17888_1_1999_01_07_USA_Human_Betacoronavirus_1,
2 YC_55_nsp10_VIPR_ALG4_AXX83348_1_16004_17812_1_2015_03_12_China_Unknown_Betacoronavirus_1,
3 HCoV_OC43_Seattle_USA_SC2269_2016_nsp10_VIPR_ALG4_ARA15417_1_16062_17870_1_2016_USA_Human_Betacoronavirus_1,
4 MY_U413_12_nsp10_VIPR_ALG4_AQN78677_1_16100_17908_1_2012_05_02_Malaysia_Human_Betacoronavirus_1,
5 SHG_3_nsp10_VIPR_ALG4_BBM61214_1_16077_17885_1_2014_12_Japan_Unknown_Betacoronavirus_1,
6 TCG_6_nsp10_VIPR_ALG4_BBM61374_1_16077_17885_1_2007_12_Japan_Unknown_Betacoronavirus_1,
7 5595_2007_nsp10_VIPR_ALG4_701216848_16100_17908_1_2007_07_China_Human_Betacoronavirus_1,
8 3074A_2012_nsp10_VIPR_ALG4_701216687_16100_17908_1_2012_02_China_Human_Betacoronavirus_1,
9 3269A_2012_nsp10_VIPR_ALG4_701216694_16100_17908_1_2012_06_China_Human_Betacoronavirus_1,
10 BJ_165_nsp10_VIPR_ALG4_AXX83312_1_16004_17812_1_2015_06_09_China_Unknown_Betacoronavirus_1,
11 10574_2010_nsp10_VIPR_ALG4_701216890_16100_17908_1_2010_09_China_Human_Betacoronavirus_1,
12 4_17_25_nsp10_VIPR_ALG4_AVZ61106_1_16101_17909_1_2017_04_USA_Cattle_Betacoronavirus_1,
13 OC43_human_USA_872_5_1987_nsp10_VIPR_ALG4_530802445_16081_17889_1_1987_02_10_USA_Human_Betacoronavirus_1,
14 TCG_2_nsp10_VIPR_ALG4_BBM61284_1_16052_17860_1_2006_12_Japan_Unknown_Betacoronavirus_1,
15 OC43_human_USA_901_41_1990_nsp10_VIPR_ALG4_530802215_16081_17889_1_1990_01_17_USA_Human_Betacoronavirus_1,
16 SHG_2_nsp10_VIPR_ALG4_BBM61204_1_16070_17878_1_2014_09_Japan_Unknown_Betacoronavirus_1,
17 CC_23_nsp10_VIPR_ALG4_AXX83324_1_16022_17830_1_2015_07_13_China_Unknown_Betacoronavirus_1,
18 TNP_F1834_2_nsp10_VIPR_ALG4_AWW13548_1_16093_17901_1_2016_12_28_Cote_dIvoire_Chimpanzee_Betacoronavirus_1,
19 HCoV_OC43_Seattle_USA_SC831_2016_nsp10_VIPR_ALG4_APU51923_1_16081_17889_1_2016_USA_Human_Betacoronavirus_1,
20 IWT_18_nsp10_VIPR_ALG4_BBM61074_1_16077_17885_1_2016_12_Japan_Unknown_Betacoronavirus_1,
21 CC14_nsp10_VIPR_ALG4_AVV64331_1_16098_17906_1_2014_03_China_Swine_Betacoronavirus_1,
22 5240_2007_nsp10_VIPR_ALG4_701216652_16100_17908_1_2007_05_China_Human_Betacoronavirus_1,
23 IWT_25_nsp10_VIPR_ALG4_BBM61164_1_16074_17882_1_2017_01_Japan_Unknown_Betacoronavirus_1,
24 DcCoV_HKU23_camel_Nigeria_NV1010_2015_nsp10_VIPR_ALG4_QEY10638_1_16086_17894_1_2015_11_20_Nigeria_Camel_Betacoronavirus_1,
25 1783A_10_nsp10_VIPR_ALG4_744516694_16100_17908_1_2010_01_China_Human_Betacoronavirus_1,
26 IWT_6_nsp10_VIPR_ALG4_BBM60994_1_16074_17882_1_2012_12_Japan_Unknown_Betacoronavirus_1,
27 IWT_3_nsp10_VIPR_ALG4_BBM60964_1_16077_17885_1_2011_06_Japan_Unknown_Betacoronavirus_1,
28 69A_2007_nsp10_VIPR_ALG4_701216862_16100_17908_1_2007_05_China_Human_Betacoronavirus_1,
29 HCoV_OC43_Seattle_USA_SC0841_2019_nsp10_VIPR_ALG4_QEG03773_1_16098_17906_1_2019_USA_Human_Betacoronavirus_1,
30 Kakegawa_nsp10_VIPR_ALG4_155369168_16101_17909_1_NA_Japan_Unknown_Betacoronavirus_1
;
[Note: This tree contains information on the topology,
branch lengths (if present), and the probability
of the partition indicated by the branch.]
tree con_50_majrule = (1:4.602907e-04,(((((((5:1.933848e-03,(16:5.226632e-03,26:1.798498e-03)0.973:1.695149e-03)0.924:1.340042e-03,(6:4.552214e-04,14:4.457839e-04,20:2.460568e-03,(23:3.232781e-03,27:3.292732e-03)0.652:1.008131e-03)0.638:1.125860e-03)1.000:2.716979e-03,12:5.257114e-03)1.000:3.277386e-03,24:6.733476e-03)0.988:3.843426e-03,30:6.077577e-03)1.000:1.330051e-02,21:3.569619e-02)1.000:1.267043e-02,(13:2.405346e-03,15:2.470861e-03)0.996:3.755436e-03)1.000:6.078508e-03,(8:2.523025e-03,25:4.806811e-04)1.000:4.507179e-03,((2:2.627730e-03,28:1.334568e-03)0.739:1.073506e-03,((3:4.510938e-04,19:4.697137e-04)0.979:1.117690e-03,4:4.306305e-04,29:3.132563e-03)0.683:1.046333e-03,7:8.255810e-04,(9:4.867854e-04,(10:1.090276e-03,18:2.488713e-03)0.934:1.137084e-03)0.531:8.849604e-04,11:4.387464e-04,17:5.827997e-03,22:4.989424e-04)0.925:1.745297e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:4.602907e-04,(((((((5:1.933848e-03,(16:5.226632e-03,26:1.798498e-03):1.695149e-03):1.340042e-03,(6:4.552214e-04,14:4.457839e-04,20:2.460568e-03,(23:3.232781e-03,27:3.292732e-03):1.008131e-03):1.125860e-03):2.716979e-03,12:5.257114e-03):3.277386e-03,24:6.733476e-03):3.843426e-03,30:6.077577e-03):1.330051e-02,21:3.569619e-02):1.267043e-02,(13:2.405346e-03,15:2.470861e-03):3.755436e-03):6.078508e-03,(8:2.523025e-03,25:4.806811e-04):4.507179e-03,((2:2.627730e-03,28:1.334568e-03):1.073506e-03,((3:4.510938e-04,19:4.697137e-04):1.117690e-03,4:4.306305e-04,29:3.132563e-03):1.046333e-03,7:8.255810e-04,(9:4.867854e-04,(10:1.090276e-03,18:2.488713e-03):1.137084e-03):8.849604e-04,11:4.387464e-04,17:5.827997e-03,22:4.989424e-04):1.745297e-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 -3753.67 -3787.00
2 -3755.27 -3790.99
--------------------------------------
TOTAL -3754.18 -3790.31
--------------------------------------
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} 0.181126 0.000354 0.144375 0.217206 0.180296 1259.91 1318.79 1.000
r(A<->C){all} 0.049774 0.000337 0.017584 0.086627 0.047594 725.07 860.15 1.001
r(A<->G){all} 0.202151 0.001173 0.138073 0.268161 0.199976 699.22 753.39 1.000
r(A<->T){all} 0.046335 0.000148 0.022206 0.069364 0.045577 993.11 1069.86 1.001
r(C<->G){all} 0.025039 0.000208 0.002044 0.053349 0.022332 558.05 735.53 1.001
r(C<->T){all} 0.607032 0.001838 0.517414 0.685254 0.607892 514.38 580.40 1.000
r(G<->T){all} 0.069669 0.000273 0.039676 0.104411 0.068402 693.29 859.61 1.000
pi(A){all} 0.289822 0.000115 0.268841 0.310410 0.289719 1047.54 1126.26 1.001
pi(C){all} 0.160126 0.000071 0.143867 0.176689 0.160078 1060.69 1133.02 1.000
pi(G){all} 0.214121 0.000092 0.196906 0.234182 0.213971 1057.84 1084.80 1.000
pi(T){all} 0.335932 0.000124 0.314484 0.356962 0.335826 1000.54 1067.76 1.000
alpha{1,2} 0.063229 0.001359 0.000531 0.123981 0.062800 992.62 1051.92 1.002
alpha{3} 4.543314 2.720973 1.791650 7.930719 4.273381 1374.80 1378.47 1.000
pinvar{all} 0.620657 0.002045 0.534610 0.709132 0.623213 1016.92 1141.24 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_nsp10_VIPR_ALG4_QEY10630_1_16091_17899_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 = 603
Codon usage in sequences
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 22 21 21 22 22 22 | Ser TCT 13 13 12 12 12 12 | Tyr TAT 33 33 32 33 33 33 | Cys TGT 17 16 17 17 17 17
TTC 1 2 3 2 2 2 | TCC 0 0 1 1 1 1 | TAC 7 7 7 6 6 6 | TGC 8 9 8 8 8 8
Leu TTA 9 9 10 10 10 9 | TCA 8 8 9 9 9 9 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 20 20 19 19 19 19 | TCG 1 1 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 3 3 3 3 3 3
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 15 15 13 13 13 13 | Pro CCT 9 9 10 9 9 9 | His CAT 11 10 11 11 11 11 | Arg CGT 10 11 10 10 10 10
CTC 0 0 2 2 2 2 | CCC 1 1 0 0 0 0 | CAC 1 2 1 1 1 1 | CGC 4 3 4 4 4 4
CTA 3 3 4 4 4 4 | CCA 10 10 10 10 10 10 | Gln CAA 11 11 12 12 12 13 | CGA 1 1 1 1 1 1
CTG 1 1 1 1 1 1 | CCG 2 2 2 3 3 3 | CAG 11 11 10 10 10 9 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 18 18 18 19 20 19 | Thr ACT 19 19 14 15 16 15 | Asn AAT 27 27 28 27 28 27 | Ser AGT 17 17 19 18 18 18
ATC 2 2 3 1 1 1 | ACC 9 9 11 12 11 12 | AAC 5 6 4 5 4 5 | AGC 5 4 3 4 4 4
ATA 7 7 7 7 7 7 | ACA 15 15 17 16 16 16 | Lys AAA 17 17 17 17 17 18 | Arg AGA 4 4 3 3 3 3
Met ATG 11 11 10 10 10 10 | ACG 3 3 4 3 3 3 | AAG 26 26 27 27 27 26 | AGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 35 35 35 36 35 35 | Ala GCT 18 18 19 19 18 19 | Asp GAT 20 19 19 19 20 20 | Gly GGT 15 15 16 16 16 16
GTC 4 4 4 4 4 5 | GCC 9 9 8 8 9 8 | GAC 4 5 5 5 4 4 | GGC 4 4 3 3 3 3
GTA 9 9 9 10 10 12 | GCA 14 13 14 14 14 14 | Glu GAA 16 16 15 15 15 15 | GGA 7 7 6 6 6 6
GTG 14 14 13 12 12 11 | GCG 3 4 3 3 3 3 | GAG 12 12 13 13 13 13 | GGG 1 1 2 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 22 21 22 22 21 22 | Ser TCT 12 12 12 13 12 12 | Tyr TAT 32 33 34 33 34 33 | Cys TGT 17 17 17 16 17 17
TTC 2 3 2 1 3 2 | TCC 1 1 1 0 1 1 | TAC 7 6 5 7 5 6 | TGC 8 8 8 9 8 8
Leu TTA 10 10 10 9 10 10 | TCA 9 9 9 8 9 9 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 19 19 19 20 19 19 | TCG 0 0 0 1 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 3 3 3 3 3 3
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 13 13 13 15 13 13 | Pro CCT 9 10 9 9 9 9 | His CAT 10 11 11 11 11 11 | Arg CGT 10 9 10 10 10 10
CTC 2 2 2 0 2 2 | CCC 0 0 0 1 0 0 | CAC 2 1 1 1 1 1 | CGC 4 5 4 4 4 4
CTA 4 4 4 3 4 4 | CCA 10 10 10 9 10 10 | Gln CAA 12 12 12 11 12 12 | CGA 1 1 1 1 1 1
CTG 1 1 1 1 1 1 | CCG 3 2 3 3 3 3 | CAG 10 10 10 11 10 10 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 19 19 19 18 19 18 | Thr ACT 15 15 15 19 15 15 | Asn AAT 28 28 27 27 27 27 | Ser AGT 18 19 18 17 18 18
ATC 1 3 1 2 1 2 | ACC 12 11 12 9 12 12 | AAC 4 4 5 5 5 5 | AGC 4 3 4 5 4 4
ATA 7 7 7 7 7 7 | ACA 16 16 16 15 16 16 | Lys AAA 17 17 17 17 17 17 | Arg AGA 3 3 3 4 3 3
Met ATG 10 10 10 11 10 10 | ACG 3 4 3 3 3 3 | AAG 27 27 27 26 27 27 | AGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 36 35 36 35 36 36 | Ala GCT 19 19 19 18 19 20 | Asp GAT 19 18 19 20 19 19 | Gly GGT 16 16 16 15 17 16
GTC 4 4 4 4 4 4 | GCC 8 8 8 9 8 7 | GAC 5 6 5 4 5 5 | GGC 3 3 3 4 2 3
GTA 10 9 10 9 11 10 | GCA 14 14 13 13 14 14 | Glu GAA 15 15 16 16 15 15 | GGA 6 6 6 7 6 6
GTG 12 12 12 14 11 12 | GCG 3 3 3 4 3 3 | GAG 13 13 13 12 13 13 | GGG 2 2 2 1 2 2
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 22 21 22 22 22 22 | Ser TCT 12 11 12 13 12 13 | Tyr TAT 32 32 33 33 33 33 | Cys TGT 17 16 17 17 17 17
TTC 2 2 2 1 2 1 | TCC 1 1 1 0 1 0 | TAC 7 8 6 7 6 7 | TGC 8 9 8 8 8 8
Leu TTA 10 10 10 9 10 9 | TCA 9 8 9 8 9 8 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 19 20 19 20 19 20 | TCG 0 2 0 1 0 1 | TAG 0 0 0 0 0 0 | Trp TGG 3 3 3 3 3 3
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 13 13 13 15 13 15 | Pro CCT 9 9 9 9 9 9 | His CAT 10 10 11 11 10 11 | Arg CGT 10 7 10 10 10 10
CTC 2 2 2 0 2 0 | CCC 0 1 0 1 0 1 | CAC 2 2 1 1 2 1 | CGC 4 7 4 4 4 4
CTA 4 3 4 3 4 3 | CCA 10 9 10 10 10 10 | Gln CAA 12 11 12 11 12 11 | CGA 1 1 1 1 1 1
CTG 1 0 1 1 1 1 | CCG 3 3 3 2 3 2 | CAG 10 11 10 11 10 11 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 19 20 19 18 19 18 | Thr ACT 15 18 15 19 15 19 | Asn AAT 28 29 27 27 28 27 | Ser AGT 18 18 18 17 18 17
ATC 1 2 1 2 1 2 | ACC 12 10 12 9 12 9 | AAC 4 3 5 5 4 5 | AGC 4 4 4 5 4 5
ATA 7 5 7 7 7 7 | ACA 16 15 16 15 16 15 | Lys AAA 17 16 17 17 17 17 | Arg AGA 3 4 3 4 3 4
Met ATG 10 11 10 11 10 11 | ACG 3 3 3 3 3 3 | AAG 27 27 27 26 27 26 | AGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 36 31 36 35 36 35 | Ala GCT 19 18 19 19 19 18 | Asp GAT 19 18 19 19 19 20 | Gly GGT 16 14 16 16 16 15
GTC 4 5 4 4 4 4 | GCC 8 8 8 8 8 9 | GAC 5 6 5 4 5 4 | GGC 3 4 3 4 3 4
GTA 10 12 10 9 10 9 | GCA 14 15 14 13 14 14 | Glu GAA 15 18 15 16 15 16 | GGA 6 7 6 6 6 7
GTG 12 14 12 14 12 14 | GCG 3 3 3 4 3 3 | GAG 13 10 13 12 13 12 | GGG 2 2 2 2 2 1
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 22 21 22 22 21 21 | Ser TCT 13 13 12 12 13 13 | Tyr TAT 35 33 33 33 33 33 | Cys TGT 16 17 17 17 17 17
TTC 1 2 2 2 2 2 | TCC 0 0 0 1 0 0 | TAC 6 7 7 6 7 7 | TGC 9 8 8 8 8 8
Leu TTA 8 9 10 10 9 9 | TCA 8 8 9 9 8 8 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 21 20 19 19 20 20 | TCG 1 1 0 0 1 1 | TAG 0 0 0 0 0 0 | Trp TGG 3 3 3 3 3 3
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 14 14 13 13 15 15 | Pro CCT 10 8 9 9 9 9 | His CAT 10 11 10 10 11 12 | Arg CGT 9 11 10 10 10 10
CTC 1 0 2 2 0 0 | CCC 0 2 0 0 1 1 | CAC 1 1 2 2 1 1 | CGC 5 3 4 4 4 4
CTA 3 3 5 4 3 3 | CCA 10 10 10 10 10 10 | Gln CAA 11 11 12 12 11 11 | CGA 1 1 1 1 1 1
CTG 1 1 0 1 1 1 | CCG 2 2 3 3 2 2 | CAG 11 11 10 10 11 10 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 19 19 18 19 18 18 | Thr ACT 18 19 15 15 18 18 | Asn AAT 27 27 27 27 27 27 | Ser AGT 18 17 18 18 17 17
ATC 1 2 2 1 2 2 | ACC 9 9 12 12 9 10 | AAC 5 5 5 5 5 5 | AGC 4 5 5 4 5 5
ATA 7 7 8 7 7 8 | ACA 15 15 16 16 15 15 | Lys AAA 17 17 17 17 17 17 | Arg AGA 4 4 3 3 4 4
Met ATG 11 11 10 10 11 10 | ACG 4 3 2 3 3 3 | AAG 26 26 27 27 26 26 | AGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 35 35 35 36 35 36 | Ala GCT 19 18 19 19 20 18 | Asp GAT 21 20 19 19 20 20 | Gly GGT 15 15 17 16 15 15
GTC 3 4 4 4 5 3 | GCC 8 10 7 8 8 9 | GAC 3 4 5 5 4 4 | GGC 4 4 2 3 4 4
GTA 10 9 10 10 9 9 | GCA 14 13 15 14 13 14 | Glu GAA 17 16 15 15 16 16 | GGA 7 7 6 6 7 7
GTG 14 14 12 12 13 14 | GCG 3 3 3 3 4 3 | GAG 11 12 13 13 12 12 | GGG 1 1 2 2 1 1
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 22 22 22 22 22 22 | Ser TCT 12 12 12 13 12 13 | Tyr TAT 33 33 33 34 34 33 | Cys TGT 17 17 17 15 17 17
TTC 2 2 2 1 2 1 | TCC 1 1 1 0 1 0 | TAC 6 6 6 6 5 7 | TGC 8 8 8 10 8 8
Leu TTA 10 10 10 8 9 9 | TCA 9 9 9 8 9 8 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 19 19 19 20 19 20 | TCG 0 0 0 1 0 1 | TAG 0 0 0 0 0 0 | Trp TGG 3 3 3 3 3 3
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 13 13 13 14 13 14 | Pro CCT 9 9 9 10 9 10 | His CAT 10 11 11 11 10 11 | Arg CGT 10 10 10 8 10 10
CTC 2 2 2 1 2 1 | CCC 0 0 0 0 0 0 | CAC 2 1 1 1 2 1 | CGC 4 4 4 6 4 4
CTA 5 4 4 3 4 2 | CCA 10 10 10 10 10 10 | Gln CAA 12 12 12 12 12 11 | CGA 1 1 1 1 1 1
CTG 0 1 1 1 1 2 | CCG 3 3 3 2 3 2 | CAG 10 10 10 10 10 11 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 18 19 19 17 19 19 | Thr ACT 15 15 15 18 15 19 | Asn AAT 27 28 28 26 28 27 | Ser AGT 18 18 18 19 18 17
ATC 2 1 1 3 1 2 | ACC 12 12 12 9 12 9 | AAC 5 4 4 6 4 5 | AGC 4 4 4 3 4 5
ATA 8 7 7 7 8 7 | ACA 16 16 16 16 17 15 | Lys AAA 17 17 17 17 17 17 | Arg AGA 3 3 3 4 3 4
Met ATG 10 10 10 11 10 11 | ACG 3 3 3 3 3 3 | AAG 27 27 27 26 27 26 | AGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 35 36 36 34 36 34 | Ala GCT 19 18 19 18 19 19 | Asp GAT 19 20 19 21 18 20 | Gly GGT 17 16 16 15 16 16
GTC 4 4 4 3 4 4 | GCC 7 9 8 8 8 8 | GAC 5 4 5 3 6 4 | GGC 2 3 3 4 3 3
GTA 10 10 10 11 10 9 | GCA 15 14 14 14 13 14 | Glu GAA 15 15 15 16 15 15 | GGA 6 6 6 7 6 7
GTG 12 12 12 15 12 14 | GCG 3 3 3 4 3 3 | GAG 13 13 13 12 13 13 | GGG 2 2 2 1 2 1
--------------------------------------------------------------------------------------------------------------------------------------
Codon position x base (3x4) table for each sequence.
#1: C251
position 1: T:0.23549 C:0.14925 A:0.30846 G:0.30680
position 2: T:0.28358 C:0.22222 A:0.33333 G:0.16086
position 3: T:0.49585 C:0.10614 A:0.21725 G:0.18076
Average T:0.33831 C:0.15920 A:0.28635 G:0.21614
#2: C235
position 1: T:0.23549 C:0.14925 A:0.30846 G:0.30680
position 2: T:0.28358 C:0.22222 A:0.33499 G:0.15920
position 3: T:0.49088 C:0.11111 A:0.21559 G:0.18242
Average T:0.33665 C:0.16086 A:0.28635 G:0.21614
#3: C192
position 1: T:0.23549 C:0.15091 A:0.30846 G:0.30514
position 2: T:0.28524 C:0.22222 A:0.33333 G:0.15920
position 3: T:0.48756 C:0.11111 A:0.22222 G:0.17910
Average T:0.33610 C:0.16142 A:0.28800 G:0.21448
#4: C4
position 1: T:0.23549 C:0.15091 A:0.30680 G:0.30680
position 2: T:0.28524 C:0.22222 A:0.33333 G:0.15920
position 3: T:0.49088 C:0.10945 A:0.22222 G:0.17745
Average T:0.33720 C:0.16086 A:0.28745 G:0.21448
#5: C279
position 1: T:0.23549 C:0.15091 A:0.30846 G:0.30514
position 2: T:0.28524 C:0.22222 A:0.33333 G:0.15920
position 3: T:0.49420 C:0.10614 A:0.22222 G:0.17745
Average T:0.33831 C:0.15976 A:0.28800 G:0.21393
#6: C66
position 1: T:0.23383 C:0.15091 A:0.30680 G:0.30846
position 2: T:0.28524 C:0.22222 A:0.33333 G:0.15920
position 3: T:0.49088 C:0.10945 A:0.22720 G:0.17247
Average T:0.33665 C:0.16086 A:0.28911 G:0.21338
#7: C94
position 1: T:0.23549 C:0.15091 A:0.30680 G:0.30680
position 2: T:0.28524 C:0.22222 A:0.33333 G:0.15920
position 3: T:0.48922 C:0.11111 A:0.22222 G:0.17745
Average T:0.33665 C:0.16142 A:0.28745 G:0.21448
#8: C182
position 1: T:0.23549 C:0.15091 A:0.31012 G:0.30348
position 2: T:0.28524 C:0.22222 A:0.33333 G:0.15920
position 3: T:0.48922 C:0.11277 A:0.22056 G:0.17745
Average T:0.33665 C:0.16197 A:0.28800 G:0.21338
#9: C45
position 1: T:0.23549 C:0.15091 A:0.30680 G:0.30680
position 2: T:0.28524 C:0.22056 A:0.33499 G:0.15920
position 3: T:0.49254 C:0.10779 A:0.22222 G:0.17745
Average T:0.33776 C:0.15976 A:0.28800 G:0.21448
#10: C122
position 1: T:0.23549 C:0.14925 A:0.30846 G:0.30680
position 2: T:0.28358 C:0.22222 A:0.33333 G:0.16086
position 3: T:0.49420 C:0.10779 A:0.21393 G:0.18408
Average T:0.33776 C:0.15976 A:0.28524 G:0.21725
#11: C298
position 1: T:0.23549 C:0.15091 A:0.30680 G:0.30680
position 2: T:0.28524 C:0.22222 A:0.33333 G:0.15920
position 3: T:0.49254 C:0.10779 A:0.22388 G:0.17579
Average T:0.33776 C:0.16031 A:0.28800 G:0.21393
#12: C216
position 1: T:0.23549 C:0.15091 A:0.30680 G:0.30680
position 2: T:0.28524 C:0.22222 A:0.33333 G:0.15920
position 3: T:0.49088 C:0.10945 A:0.22222 G:0.17745
Average T:0.33720 C:0.16086 A:0.28745 G:0.21448
#13: C85
position 1: T:0.23549 C:0.15091 A:0.30680 G:0.30680
position 2: T:0.28524 C:0.22222 A:0.33333 G:0.15920
position 3: T:0.48922 C:0.11111 A:0.22222 G:0.17745
Average T:0.33665 C:0.16142 A:0.28745 G:0.21448
#14: C64
position 1: T:0.23715 C:0.14760 A:0.30846 G:0.30680
position 2: T:0.28358 C:0.22222 A:0.33333 G:0.16086
position 3: T:0.47264 C:0.12272 A:0.22222 G:0.18242
Average T:0.33112 C:0.16418 A:0.28800 G:0.21669
#15: C30
position 1: T:0.23549 C:0.15091 A:0.30680 G:0.30680
position 2: T:0.28524 C:0.22222 A:0.33333 G:0.15920
position 3: T:0.49088 C:0.10945 A:0.22222 G:0.17745
Average T:0.33720 C:0.16086 A:0.28745 G:0.21448
#16: C237
position 1: T:0.23549 C:0.14925 A:0.30846 G:0.30680
position 2: T:0.28358 C:0.22222 A:0.33167 G:0.16252
position 3: T:0.49751 C:0.10448 A:0.21393 G:0.18408
Average T:0.33886 C:0.15865 A:0.28469 G:0.21780
#17: C161
position 1: T:0.23549 C:0.15091 A:0.30680 G:0.30680
position 2: T:0.28524 C:0.22222 A:0.33333 G:0.15920
position 3: T:0.49088 C:0.10945 A:0.22222 G:0.17745
Average T:0.33720 C:0.16086 A:0.28745 G:0.21448
#18: C269
position 1: T:0.23549 C:0.14925 A:0.30846 G:0.30680
position 2: T:0.28358 C:0.22222 A:0.33333 G:0.16086
position 3: T:0.49585 C:0.10614 A:0.21725 G:0.18076
Average T:0.33831 C:0.15920 A:0.28635 G:0.21614
#19: C71
position 1: T:0.23715 C:0.14760 A:0.30846 G:0.30680
position 2: T:0.28358 C:0.22222 A:0.33333 G:0.16086
position 3: T:0.49917 C:0.09950 A:0.21891 G:0.18242
Average T:0.33997 C:0.15644 A:0.28690 G:0.21669
#20: C130
position 1: T:0.23549 C:0.14760 A:0.31012 G:0.30680
position 2: T:0.28358 C:0.22222 A:0.33333 G:0.16086
position 3: T:0.49420 C:0.10945 A:0.21559 G:0.18076
Average T:0.33776 C:0.15976 A:0.28635 G:0.21614
#21: C19
position 1: T:0.23549 C:0.15091 A:0.30846 G:0.30514
position 2: T:0.28524 C:0.21891 A:0.33499 G:0.16086
position 3: T:0.48756 C:0.11111 A:0.22720 G:0.17413
Average T:0.33610 C:0.16031 A:0.29022 G:0.21338
#22: C47
position 1: T:0.23549 C:0.15091 A:0.30680 G:0.30680
position 2: T:0.28524 C:0.22222 A:0.33333 G:0.15920
position 3: T:0.48922 C:0.11111 A:0.22222 G:0.17745
Average T:0.33665 C:0.16142 A:0.28745 G:0.21448
#23: C135
position 1: T:0.23549 C:0.14925 A:0.30680 G:0.30846
position 2: T:0.28358 C:0.22222 A:0.33333 G:0.16086
position 3: T:0.49585 C:0.10779 A:0.21559 G:0.18076
Average T:0.33831 C:0.15976 A:0.28524 G:0.21669
#24: C134
position 1: T:0.23549 C:0.14925 A:0.30846 G:0.30680
position 2: T:0.28358 C:0.22222 A:0.33333 G:0.16086
position 3: T:0.49585 C:0.10779 A:0.21891 G:0.17745
Average T:0.33831 C:0.15976 A:0.28690 G:0.21504
#25: C8
position 1: T:0.23549 C:0.15091 A:0.30846 G:0.30514
position 2: T:0.28524 C:0.22222 A:0.33333 G:0.15920
position 3: T:0.48756 C:0.10945 A:0.22720 G:0.17579
Average T:0.33610 C:0.16086 A:0.28966 G:0.21338
#26: C61
position 1: T:0.23549 C:0.15091 A:0.30680 G:0.30680
position 2: T:0.28524 C:0.22222 A:0.33333 G:0.15920
position 3: T:0.49254 C:0.10779 A:0.22222 G:0.17745
Average T:0.33776 C:0.16031 A:0.28745 G:0.21448
#27: C22
position 1: T:0.23549 C:0.15091 A:0.30680 G:0.30680
position 2: T:0.28524 C:0.22222 A:0.33333 G:0.15920
position 3: T:0.49254 C:0.10779 A:0.22222 G:0.17745
Average T:0.33776 C:0.16031 A:0.28745 G:0.21448
#28: C142
position 1: T:0.23383 C:0.14925 A:0.30846 G:0.30846
position 2: T:0.28358 C:0.22222 A:0.33333 G:0.16086
position 3: T:0.48922 C:0.10614 A:0.22222 G:0.18242
Average T:0.33554 C:0.15920 A:0.28800 G:0.21725
#29: C83
position 1: T:0.23383 C:0.15091 A:0.31012 G:0.30514
position 2: T:0.28524 C:0.22222 A:0.33333 G:0.15920
position 3: T:0.49088 C:0.10945 A:0.22222 G:0.17745
Average T:0.33665 C:0.16086 A:0.28856 G:0.21393
#30: C29
position 1: T:0.23549 C:0.14925 A:0.31012 G:0.30514
position 2: T:0.28358 C:0.22222 A:0.33333 G:0.16086
position 3: T:0.49917 C:0.10282 A:0.21393 G:0.18408
Average T:0.33941 C:0.15810 A:0.28579 G:0.21669
Sums of codon usage counts
------------------------------------------------------------------------------
Phe F TTT 652 | Ser S TCT 370 | Tyr Y TAT 992 | Cys C TGT 504
TTC 56 | TCC 18 | TAC 192 | TGC 246
Leu L TTA 285 | TCA 258 | *** * TAA 0 | *** * TGA 0
TTG 583 | TCG 13 | TAG 0 | Trp W TGG 90
------------------------------------------------------------------------------
Leu L CTT 408 | Pro P CCT 274 | His H CAT 321 | Arg R CGT 295
CTC 41 | CCC 10 | CAC 39 | CGC 125
CTA 109 | CCA 298 | Gln Q CAA 350 | CGA 30
CTG 28 | CCG 78 | CAG 309 | CGG 0
------------------------------------------------------------------------------
Ile I ATT 559 | Thr T ACT 493 | Asn N AAT 820 | Ser S AGT 534
ATC 49 | ACC 323 | AAC 141 | AGC 126
ATA 212 | ACA 471 | Lys K AAA 510 | Arg R AGA 102
Met M ATG 311 | ACG 92 | AAG 798 | AGG 30
------------------------------------------------------------------------------
Val V GTT 1057 | Ala A GCT 562 | Asp D GAT 581 | Gly G GGT 472
GTC 120 | GCC 246 | GAC 138 | GGC 98
GTA 295 | GCA 416 | Glu E GAA 465 | GGA 191
GTG 383 | GCG 95 | GAG 376 | GGG 50
------------------------------------------------------------------------------
Codon position x base (3x4) table, overall
position 1: T:0.23543 C:0.15008 A:0.30796 G:0.30652
position 2: T:0.28458 C:0.22206 A:0.33344 G:0.15992
position 3: T:0.49165 C:0.10879 A:0.22067 G:0.17888
Average T:0.33722 C:0.16031 A:0.28736 G:0.21511
Model 1: NearlyNeutral (2 categories)
TREE # 1: (12, (((((((16, (2, 23)), (18, 1, 10, (20, 24))), 30), 19), 28), 14), (8, 3)), (21, 25), ((11, 9), ((13, 7), 17, 29), 22, (27, (26, 5)), 4, 6, 15)); MP score: 196
check convergence..
lnL(ntime: 48 np: 51): -3546.872280 +0.000000
31..12 31..32 32..33 33..34 34..35 35..36 36..37 37..38 38..16 38..39 39..2 39..23 37..40 40..18 40..1 40..10 40..41 41..20 41..24 36..30 35..19 34..28 33..14 32..42 42..8 42..3 31..43 43..21 43..25 31..44 44..45 45..11 45..9 44..46 46..47 47..13 47..7 46..17 46..29 44..22 44..48 48..27 48..49 49..26 49..5 44..4 44..6 44..15
0.000004 0.014117 0.028694 0.031162 0.009808 0.006803 0.005171 0.001720 0.003425 0.003403 0.011936 0.003422 0.001693 0.000004 0.000004 0.005107 0.001689 0.006838 0.006824 0.012098 0.015942 0.013151 0.083706 0.008515 0.004974 0.005224 0.010232 0.005107 0.000004 0.003389 0.001680 0.005120 0.001717 0.003393 0.001693 0.000004 0.000004 0.000004 0.006812 0.001691 0.001695 0.000004 0.001699 0.001697 0.005120 0.000004 0.013750 0.000004 4.150295 0.986058 0.021300
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.350260
(12: 0.000004, (((((((16: 0.003425, (2: 0.011936, 23: 0.003422): 0.003403): 0.001720, (18: 0.000004, 1: 0.000004, 10: 0.005107, (20: 0.006838, 24: 0.006824): 0.001689): 0.001693): 0.005171, 30: 0.012098): 0.006803, 19: 0.015942): 0.009808, 28: 0.013151): 0.031162, 14: 0.083706): 0.028694, (8: 0.004974, 3: 0.005224): 0.008515): 0.014117, (21: 0.005107, 25: 0.000004): 0.010232, ((11: 0.005120, 9: 0.001717): 0.001680, ((13: 0.000004, 7: 0.000004): 0.001693, 17: 0.000004, 29: 0.006812): 0.003393, 22: 0.001691, (27: 0.000004, (26: 0.001697, 5: 0.005120): 0.001699): 0.001695, 4: 0.000004, 6: 0.013750, 15: 0.000004): 0.003389);
(C216: 0.000004, (((((((C237: 0.003425, (C235: 0.011936, C135: 0.003422): 0.003403): 0.001720, (C269: 0.000004, C251: 0.000004, C122: 0.005107, (C130: 0.006838, C134: 0.006824): 0.001689): 0.001693): 0.005171, C29: 0.012098): 0.006803, C71: 0.015942): 0.009808, C142: 0.013151): 0.031162, C64: 0.083706): 0.028694, (C182: 0.004974, C192: 0.005224): 0.008515): 0.014117, (C19: 0.005107, C8: 0.000004): 0.010232, ((C298: 0.005120, C45: 0.001717): 0.001680, ((C85: 0.000004, C94: 0.000004): 0.001693, C161: 0.000004, C83: 0.006812): 0.003393, C47: 0.001691, (C22: 0.000004, (C61: 0.001697, C279: 0.005120): 0.001699): 0.001695, C4: 0.000004, C66: 0.013750, C30: 0.000004): 0.003389);
Detailed output identifying parameters
kappa (ts/tv) = 4.15029
MLEs of dN/dS (w) for site classes (K=2)
p: 0.98606 0.01394
w: 0.02130 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.000 1458.6 350.4 0.0349 0.0000 0.0000 0.0 0.0
31..32 0.014 1458.6 350.4 0.0349 0.0007 0.0212 1.1 7.4
32..33 0.029 1458.6 350.4 0.0349 0.0015 0.0431 2.2 15.1
33..34 0.031 1458.6 350.4 0.0349 0.0016 0.0468 2.4 16.4
34..35 0.010 1458.6 350.4 0.0349 0.0005 0.0147 0.8 5.2
35..36 0.007 1458.6 350.4 0.0349 0.0004 0.0102 0.5 3.6
36..37 0.005 1458.6 350.4 0.0349 0.0003 0.0078 0.4 2.7
37..38 0.002 1458.6 350.4 0.0349 0.0001 0.0026 0.1 0.9
38..16 0.003 1458.6 350.4 0.0349 0.0002 0.0051 0.3 1.8
38..39 0.003 1458.6 350.4 0.0349 0.0002 0.0051 0.3 1.8
39..2 0.012 1458.6 350.4 0.0349 0.0006 0.0179 0.9 6.3
39..23 0.003 1458.6 350.4 0.0349 0.0002 0.0051 0.3 1.8
37..40 0.002 1458.6 350.4 0.0349 0.0001 0.0025 0.1 0.9
40..18 0.000 1458.6 350.4 0.0349 0.0000 0.0000 0.0 0.0
40..1 0.000 1458.6 350.4 0.0349 0.0000 0.0000 0.0 0.0
40..10 0.005 1458.6 350.4 0.0349 0.0003 0.0077 0.4 2.7
40..41 0.002 1458.6 350.4 0.0349 0.0001 0.0025 0.1 0.9
41..20 0.007 1458.6 350.4 0.0349 0.0004 0.0103 0.5 3.6
41..24 0.007 1458.6 350.4 0.0349 0.0004 0.0103 0.5 3.6
36..30 0.012 1458.6 350.4 0.0349 0.0006 0.0182 0.9 6.4
35..19 0.016 1458.6 350.4 0.0349 0.0008 0.0239 1.2 8.4
34..28 0.013 1458.6 350.4 0.0349 0.0007 0.0198 1.0 6.9
33..14 0.084 1458.6 350.4 0.0349 0.0044 0.1258 6.4 44.1
32..42 0.009 1458.6 350.4 0.0349 0.0004 0.0128 0.7 4.5
42..8 0.005 1458.6 350.4 0.0349 0.0003 0.0075 0.4 2.6
42..3 0.005 1458.6 350.4 0.0349 0.0003 0.0078 0.4 2.8
31..43 0.010 1458.6 350.4 0.0349 0.0005 0.0154 0.8 5.4
43..21 0.005 1458.6 350.4 0.0349 0.0003 0.0077 0.4 2.7
43..25 0.000 1458.6 350.4 0.0349 0.0000 0.0000 0.0 0.0
31..44 0.003 1458.6 350.4 0.0349 0.0002 0.0051 0.3 1.8
44..45 0.002 1458.6 350.4 0.0349 0.0001 0.0025 0.1 0.9
45..11 0.005 1458.6 350.4 0.0349 0.0003 0.0077 0.4 2.7
45..9 0.002 1458.6 350.4 0.0349 0.0001 0.0026 0.1 0.9
44..46 0.003 1458.6 350.4 0.0349 0.0002 0.0051 0.3 1.8
46..47 0.002 1458.6 350.4 0.0349 0.0001 0.0025 0.1 0.9
47..13 0.000 1458.6 350.4 0.0349 0.0000 0.0000 0.0 0.0
47..7 0.000 1458.6 350.4 0.0349 0.0000 0.0000 0.0 0.0
46..17 0.000 1458.6 350.4 0.0349 0.0000 0.0000 0.0 0.0
46..29 0.007 1458.6 350.4 0.0349 0.0004 0.0102 0.5 3.6
44..22 0.002 1458.6 350.4 0.0349 0.0001 0.0025 0.1 0.9
44..48 0.002 1458.6 350.4 0.0349 0.0001 0.0025 0.1 0.9
48..27 0.000 1458.6 350.4 0.0349 0.0000 0.0000 0.0 0.0
48..49 0.002 1458.6 350.4 0.0349 0.0001 0.0026 0.1 0.9
49..26 0.002 1458.6 350.4 0.0349 0.0001 0.0025 0.1 0.9
49..5 0.005 1458.6 350.4 0.0349 0.0003 0.0077 0.4 2.7
44..4 0.000 1458.6 350.4 0.0349 0.0000 0.0000 0.0 0.0
44..6 0.014 1458.6 350.4 0.0349 0.0007 0.0207 1.1 7.2
44..15 0.000 1458.6 350.4 0.0349 0.0000 0.0000 0.0 0.0
Time used: 7:47
Model 2: PositiveSelection (3 categories)
TREE # 1: (12, (((((((16, (2, 23)), (18, 1, 10, (20, 24))), 30), 19), 28), 14), (8, 3)), (21, 25), ((11, 9), ((13, 7), 17, 29), 22, (27, (26, 5)), 4, 6, 15)); MP score: 196
check convergence..
lnL(ntime: 48 np: 53): -3546.872280 +0.000000
31..12 31..32 32..33 33..34 34..35 35..36 36..37 37..38 38..16 38..39 39..2 39..23 37..40 40..18 40..1 40..10 40..41 41..20 41..24 36..30 35..19 34..28 33..14 32..42 42..8 42..3 31..43 43..21 43..25 31..44 44..45 45..11 45..9 44..46 46..47 47..13 47..7 46..17 46..29 44..22 44..48 48..27 48..49 49..26 49..5 44..4 44..6 44..15
0.000004 0.014117 0.028693 0.031162 0.009808 0.006803 0.005171 0.001721 0.003425 0.003403 0.011937 0.003423 0.001694 0.000004 0.000004 0.005107 0.001690 0.006839 0.006824 0.012098 0.015942 0.013151 0.083706 0.008515 0.004974 0.005225 0.010232 0.005108 0.000004 0.003389 0.001680 0.005120 0.001718 0.003393 0.001694 0.000004 0.000004 0.000004 0.006812 0.001692 0.001696 0.000004 0.001700 0.001698 0.005120 0.000004 0.013751 0.000004 4.150267 0.986057 0.006033 0.021300 1.000000
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.350269
(12: 0.000004, (((((((16: 0.003425, (2: 0.011937, 23: 0.003423): 0.003403): 0.001721, (18: 0.000004, 1: 0.000004, 10: 0.005107, (20: 0.006839, 24: 0.006824): 0.001690): 0.001694): 0.005171, 30: 0.012098): 0.006803, 19: 0.015942): 0.009808, 28: 0.013151): 0.031162, 14: 0.083706): 0.028693, (8: 0.004974, 3: 0.005225): 0.008515): 0.014117, (21: 0.005108, 25: 0.000004): 0.010232, ((11: 0.005120, 9: 0.001718): 0.001680, ((13: 0.000004, 7: 0.000004): 0.001694, 17: 0.000004, 29: 0.006812): 0.003393, 22: 0.001692, (27: 0.000004, (26: 0.001698, 5: 0.005120): 0.001700): 0.001696, 4: 0.000004, 6: 0.013751, 15: 0.000004): 0.003389);
(C216: 0.000004, (((((((C237: 0.003425, (C235: 0.011937, C135: 0.003423): 0.003403): 0.001721, (C269: 0.000004, C251: 0.000004, C122: 0.005107, (C130: 0.006839, C134: 0.006824): 0.001690): 0.001694): 0.005171, C29: 0.012098): 0.006803, C71: 0.015942): 0.009808, C142: 0.013151): 0.031162, C64: 0.083706): 0.028693, (C182: 0.004974, C192: 0.005225): 0.008515): 0.014117, (C19: 0.005108, C8: 0.000004): 0.010232, ((C298: 0.005120, C45: 0.001718): 0.001680, ((C85: 0.000004, C94: 0.000004): 0.001694, C161: 0.000004, C83: 0.006812): 0.003393, C47: 0.001692, (C22: 0.000004, (C61: 0.001698, C279: 0.005120): 0.001700): 0.001696, C4: 0.000004, C66: 0.013751, C30: 0.000004): 0.003389);
Detailed output identifying parameters
kappa (ts/tv) = 4.15027
MLEs of dN/dS (w) for site classes (K=3)
p: 0.98606 0.00603 0.00791
w: 0.02130 1.00000 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.000 1458.6 350.4 0.0349 0.0000 0.0000 0.0 0.0
31..32 0.014 1458.6 350.4 0.0349 0.0007 0.0212 1.1 7.4
32..33 0.029 1458.6 350.4 0.0349 0.0015 0.0431 2.2 15.1
33..34 0.031 1458.6 350.4 0.0349 0.0016 0.0468 2.4 16.4
34..35 0.010 1458.6 350.4 0.0349 0.0005 0.0147 0.8 5.2
35..36 0.007 1458.6 350.4 0.0349 0.0004 0.0102 0.5 3.6
36..37 0.005 1458.6 350.4 0.0349 0.0003 0.0078 0.4 2.7
37..38 0.002 1458.6 350.4 0.0349 0.0001 0.0026 0.1 0.9
38..16 0.003 1458.6 350.4 0.0349 0.0002 0.0051 0.3 1.8
38..39 0.003 1458.6 350.4 0.0349 0.0002 0.0051 0.3 1.8
39..2 0.012 1458.6 350.4 0.0349 0.0006 0.0179 0.9 6.3
39..23 0.003 1458.6 350.4 0.0349 0.0002 0.0051 0.3 1.8
37..40 0.002 1458.6 350.4 0.0349 0.0001 0.0025 0.1 0.9
40..18 0.000 1458.6 350.4 0.0349 0.0000 0.0000 0.0 0.0
40..1 0.000 1458.6 350.4 0.0349 0.0000 0.0000 0.0 0.0
40..10 0.005 1458.6 350.4 0.0349 0.0003 0.0077 0.4 2.7
40..41 0.002 1458.6 350.4 0.0349 0.0001 0.0025 0.1 0.9
41..20 0.007 1458.6 350.4 0.0349 0.0004 0.0103 0.5 3.6
41..24 0.007 1458.6 350.4 0.0349 0.0004 0.0103 0.5 3.6
36..30 0.012 1458.6 350.4 0.0349 0.0006 0.0182 0.9 6.4
35..19 0.016 1458.6 350.4 0.0349 0.0008 0.0239 1.2 8.4
34..28 0.013 1458.6 350.4 0.0349 0.0007 0.0198 1.0 6.9
33..14 0.084 1458.6 350.4 0.0349 0.0044 0.1258 6.4 44.1
32..42 0.009 1458.6 350.4 0.0349 0.0004 0.0128 0.7 4.5
42..8 0.005 1458.6 350.4 0.0349 0.0003 0.0075 0.4 2.6
42..3 0.005 1458.6 350.4 0.0349 0.0003 0.0078 0.4 2.8
31..43 0.010 1458.6 350.4 0.0349 0.0005 0.0154 0.8 5.4
43..21 0.005 1458.6 350.4 0.0349 0.0003 0.0077 0.4 2.7
43..25 0.000 1458.6 350.4 0.0349 0.0000 0.0000 0.0 0.0
31..44 0.003 1458.6 350.4 0.0349 0.0002 0.0051 0.3 1.8
44..45 0.002 1458.6 350.4 0.0349 0.0001 0.0025 0.1 0.9
45..11 0.005 1458.6 350.4 0.0349 0.0003 0.0077 0.4 2.7
45..9 0.002 1458.6 350.4 0.0349 0.0001 0.0026 0.1 0.9
44..46 0.003 1458.6 350.4 0.0349 0.0002 0.0051 0.3 1.8
46..47 0.002 1458.6 350.4 0.0349 0.0001 0.0025 0.1 0.9
47..13 0.000 1458.6 350.4 0.0349 0.0000 0.0000 0.0 0.0
47..7 0.000 1458.6 350.4 0.0349 0.0000 0.0000 0.0 0.0
46..17 0.000 1458.6 350.4 0.0349 0.0000 0.0000 0.0 0.0
46..29 0.007 1458.6 350.4 0.0349 0.0004 0.0102 0.5 3.6
44..22 0.002 1458.6 350.4 0.0349 0.0001 0.0025 0.1 0.9
44..48 0.002 1458.6 350.4 0.0349 0.0001 0.0025 0.1 0.9
48..27 0.000 1458.6 350.4 0.0349 0.0000 0.0000 0.0 0.0
48..49 0.002 1458.6 350.4 0.0349 0.0001 0.0026 0.1 0.9
49..26 0.002 1458.6 350.4 0.0349 0.0001 0.0026 0.1 0.9
49..5 0.005 1458.6 350.4 0.0349 0.0003 0.0077 0.4 2.7
44..4 0.000 1458.6 350.4 0.0349 0.0000 0.0000 0.0 0.0
44..6 0.014 1458.6 350.4 0.0349 0.0007 0.0207 1.1 7.2
44..15 0.000 1458.6 350.4 0.0349 0.0000 0.0000 0.0 0.0
Naive Empirical Bayes (NEB) analysis
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C251)
Pr(w>1) post mean +- SE for w
591 L 0.611 1.316 +- 0.492
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: 0.949 0.040 0.006 0.002 0.001 0.000 0.000 0.000 0.000 0.000
Posterior for p0-p1 (see the ternary graph) (YWN2015, fig. 1)
0.000
0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 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: 21:03
Model 7: beta (10 categories)
TREE # 1: (12, (((((((16, (2, 23)), (18, 1, 10, (20, 24))), 30), 19), 28), 14), (8, 3)), (21, 25), ((11, 9), ((13, 7), 17, 29), 22, (27, (26, 5)), 4, 6, 15)); MP score: 196
check convergence..
lnL(ntime: 48 np: 51): -3546.365601 +0.000000
31..12 31..32 32..33 33..34 34..35 35..36 36..37 37..38 38..16 38..39 39..2 39..23 37..40 40..18 40..1 40..10 40..41 41..20 41..24 36..30 35..19 34..28 33..14 32..42 42..8 42..3 31..43 43..21 43..25 31..44 44..45 45..11 45..9 44..46 46..47 47..13 47..7 46..17 46..29 44..22 44..48 48..27 48..49 49..26 49..5 44..4 44..6 44..15
0.000004 0.014117 0.028683 0.031091 0.009786 0.006794 0.005166 0.001720 0.003422 0.003406 0.011938 0.003418 0.001692 0.000004 0.000004 0.005102 0.001688 0.006833 0.006819 0.012076 0.015913 0.013136 0.083432 0.008455 0.004993 0.005196 0.010215 0.005098 0.000004 0.003383 0.001678 0.005112 0.001715 0.003387 0.001691 0.000004 0.000004 0.000004 0.006801 0.001689 0.001693 0.000004 0.001697 0.001695 0.005112 0.000004 0.013729 0.000004 4.129794 0.060109 1.417991
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.349609
(12: 0.000004, (((((((16: 0.003422, (2: 0.011938, 23: 0.003418): 0.003406): 0.001720, (18: 0.000004, 1: 0.000004, 10: 0.005102, (20: 0.006833, 24: 0.006819): 0.001688): 0.001692): 0.005166, 30: 0.012076): 0.006794, 19: 0.015913): 0.009786, 28: 0.013136): 0.031091, 14: 0.083432): 0.028683, (8: 0.004993, 3: 0.005196): 0.008455): 0.014117, (21: 0.005098, 25: 0.000004): 0.010215, ((11: 0.005112, 9: 0.001715): 0.001678, ((13: 0.000004, 7: 0.000004): 0.001691, 17: 0.000004, 29: 0.006801): 0.003387, 22: 0.001689, (27: 0.000004, (26: 0.001695, 5: 0.005112): 0.001697): 0.001693, 4: 0.000004, 6: 0.013729, 15: 0.000004): 0.003383);
(C216: 0.000004, (((((((C237: 0.003422, (C235: 0.011938, C135: 0.003418): 0.003406): 0.001720, (C269: 0.000004, C251: 0.000004, C122: 0.005102, (C130: 0.006833, C134: 0.006819): 0.001688): 0.001692): 0.005166, C29: 0.012076): 0.006794, C71: 0.015913): 0.009786, C142: 0.013136): 0.031091, C64: 0.083432): 0.028683, (C182: 0.004993, C192: 0.005196): 0.008455): 0.014117, (C19: 0.005098, C8: 0.000004): 0.010215, ((C298: 0.005112, C45: 0.001715): 0.001678, ((C85: 0.000004, C94: 0.000004): 0.001691, C161: 0.000004, C83: 0.006801): 0.003387, C47: 0.001689, (C22: 0.000004, (C61: 0.001695, C279: 0.005112): 0.001697): 0.001693, C4: 0.000004, C66: 0.013729, C30: 0.000004): 0.003383);
Detailed output identifying parameters
kappa (ts/tv) = 4.12979
Parameters in M7 (beta):
p = 0.06011 q = 1.41799
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 0.00000 0.00003 0.00046 0.00499 0.04062 0.28640
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.000 1458.8 350.2 0.0333 0.0000 0.0000 0.0 0.0
31..32 0.014 1458.8 350.2 0.0333 0.0007 0.0213 1.0 7.5
32..33 0.029 1458.8 350.2 0.0333 0.0014 0.0434 2.1 15.2
33..34 0.031 1458.8 350.2 0.0333 0.0016 0.0470 2.3 16.5
34..35 0.010 1458.8 350.2 0.0333 0.0005 0.0148 0.7 5.2
35..36 0.007 1458.8 350.2 0.0333 0.0003 0.0103 0.5 3.6
36..37 0.005 1458.8 350.2 0.0333 0.0003 0.0078 0.4 2.7
37..38 0.002 1458.8 350.2 0.0333 0.0001 0.0026 0.1 0.9
38..16 0.003 1458.8 350.2 0.0333 0.0002 0.0052 0.3 1.8
38..39 0.003 1458.8 350.2 0.0333 0.0002 0.0052 0.2 1.8
39..2 0.012 1458.8 350.2 0.0333 0.0006 0.0181 0.9 6.3
39..23 0.003 1458.8 350.2 0.0333 0.0002 0.0052 0.3 1.8
37..40 0.002 1458.8 350.2 0.0333 0.0001 0.0026 0.1 0.9
40..18 0.000 1458.8 350.2 0.0333 0.0000 0.0000 0.0 0.0
40..1 0.000 1458.8 350.2 0.0333 0.0000 0.0000 0.0 0.0
40..10 0.005 1458.8 350.2 0.0333 0.0003 0.0077 0.4 2.7
40..41 0.002 1458.8 350.2 0.0333 0.0001 0.0026 0.1 0.9
41..20 0.007 1458.8 350.2 0.0333 0.0003 0.0103 0.5 3.6
41..24 0.007 1458.8 350.2 0.0333 0.0003 0.0103 0.5 3.6
36..30 0.012 1458.8 350.2 0.0333 0.0006 0.0183 0.9 6.4
35..19 0.016 1458.8 350.2 0.0333 0.0008 0.0241 1.2 8.4
34..28 0.013 1458.8 350.2 0.0333 0.0007 0.0199 1.0 7.0
33..14 0.083 1458.8 350.2 0.0333 0.0042 0.1262 6.1 44.2
32..42 0.008 1458.8 350.2 0.0333 0.0004 0.0128 0.6 4.5
42..8 0.005 1458.8 350.2 0.0333 0.0003 0.0076 0.4 2.6
42..3 0.005 1458.8 350.2 0.0333 0.0003 0.0079 0.4 2.8
31..43 0.010 1458.8 350.2 0.0333 0.0005 0.0154 0.7 5.4
43..21 0.005 1458.8 350.2 0.0333 0.0003 0.0077 0.4 2.7
43..25 0.000 1458.8 350.2 0.0333 0.0000 0.0000 0.0 0.0
31..44 0.003 1458.8 350.2 0.0333 0.0002 0.0051 0.2 1.8
44..45 0.002 1458.8 350.2 0.0333 0.0001 0.0025 0.1 0.9
45..11 0.005 1458.8 350.2 0.0333 0.0003 0.0077 0.4 2.7
45..9 0.002 1458.8 350.2 0.0333 0.0001 0.0026 0.1 0.9
44..46 0.003 1458.8 350.2 0.0333 0.0002 0.0051 0.2 1.8
46..47 0.002 1458.8 350.2 0.0333 0.0001 0.0026 0.1 0.9
47..13 0.000 1458.8 350.2 0.0333 0.0000 0.0000 0.0 0.0
47..7 0.000 1458.8 350.2 0.0333 0.0000 0.0000 0.0 0.0
46..17 0.000 1458.8 350.2 0.0333 0.0000 0.0000 0.0 0.0
46..29 0.007 1458.8 350.2 0.0333 0.0003 0.0103 0.5 3.6
44..22 0.002 1458.8 350.2 0.0333 0.0001 0.0026 0.1 0.9
44..48 0.002 1458.8 350.2 0.0333 0.0001 0.0026 0.1 0.9
48..27 0.000 1458.8 350.2 0.0333 0.0000 0.0000 0.0 0.0
48..49 0.002 1458.8 350.2 0.0333 0.0001 0.0026 0.1 0.9
49..26 0.002 1458.8 350.2 0.0333 0.0001 0.0026 0.1 0.9
49..5 0.005 1458.8 350.2 0.0333 0.0003 0.0077 0.4 2.7
44..4 0.000 1458.8 350.2 0.0333 0.0000 0.0000 0.0 0.0
44..6 0.014 1458.8 350.2 0.0333 0.0007 0.0208 1.0 7.3
44..15 0.000 1458.8 350.2 0.0333 0.0000 0.0000 0.0 0.0
Time used: 1:05:37
Model 8: beta&w>1 (11 categories)
TREE # 1: (12, (((((((16, (2, 23)), (18, 1, 10, (20, 24))), 30), 19), 28), 14), (8, 3)), (21, 25), ((11, 9), ((13, 7), 17, 29), 22, (27, (26, 5)), 4, 6, 15)); MP score: 196
lnL(ntime: 48 np: 53): -3546.365769 +0.000000
31..12 31..32 32..33 33..34 34..35 35..36 36..37 37..38 38..16 38..39 39..2 39..23 37..40 40..18 40..1 40..10 40..41 41..20 41..24 36..30 35..19 34..28 33..14 32..42 42..8 42..3 31..43 43..21 43..25 31..44 44..45 45..11 45..9 44..46 46..47 47..13 47..7 46..17 46..29 44..22 44..48 48..27 48..49 49..26 49..5 44..4 44..6 44..15
0.000004 0.014116 0.028683 0.031091 0.009785 0.006794 0.005166 0.001720 0.003422 0.003406 0.011938 0.003418 0.001692 0.000004 0.000004 0.005102 0.001688 0.006832 0.006818 0.012076 0.015912 0.013137 0.083431 0.008455 0.004993 0.005196 0.010215 0.005098 0.000004 0.003384 0.001678 0.005112 0.001715 0.003387 0.001691 0.000004 0.000004 0.000004 0.006801 0.001689 0.001693 0.000004 0.001697 0.001695 0.005112 0.000004 0.013729 0.000004 4.129876 0.999990 0.060139 1.419072 1.000000
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.349607
(12: 0.000004, (((((((16: 0.003422, (2: 0.011938, 23: 0.003418): 0.003406): 0.001720, (18: 0.000004, 1: 0.000004, 10: 0.005102, (20: 0.006832, 24: 0.006818): 0.001688): 0.001692): 0.005166, 30: 0.012076): 0.006794, 19: 0.015912): 0.009785, 28: 0.013137): 0.031091, 14: 0.083431): 0.028683, (8: 0.004993, 3: 0.005196): 0.008455): 0.014116, (21: 0.005098, 25: 0.000004): 0.010215, ((11: 0.005112, 9: 0.001715): 0.001678, ((13: 0.000004, 7: 0.000004): 0.001691, 17: 0.000004, 29: 0.006801): 0.003387, 22: 0.001689, (27: 0.000004, (26: 0.001695, 5: 0.005112): 0.001697): 0.001693, 4: 0.000004, 6: 0.013729, 15: 0.000004): 0.003384);
(C216: 0.000004, (((((((C237: 0.003422, (C235: 0.011938, C135: 0.003418): 0.003406): 0.001720, (C269: 0.000004, C251: 0.000004, C122: 0.005102, (C130: 0.006832, C134: 0.006818): 0.001688): 0.001692): 0.005166, C29: 0.012076): 0.006794, C71: 0.015912): 0.009785, C142: 0.013137): 0.031091, C64: 0.083431): 0.028683, (C182: 0.004993, C192: 0.005196): 0.008455): 0.014116, (C19: 0.005098, C8: 0.000004): 0.010215, ((C298: 0.005112, C45: 0.001715): 0.001678, ((C85: 0.000004, C94: 0.000004): 0.001691, C161: 0.000004, C83: 0.006801): 0.003387, C47: 0.001689, (C22: 0.000004, (C61: 0.001695, C279: 0.005112): 0.001697): 0.001693, C4: 0.000004, C66: 0.013729, C30: 0.000004): 0.003384);
Detailed output identifying parameters
kappa (ts/tv) = 4.12988
Parameters in M8 (beta&w>1):
p0 = 0.99999 p = 0.06014 q = 1.41907
(p1 = 0.00001) w = 1.00000
MLEs of dN/dS (w) for site classes (K=11)
p: 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.00001
w: 0.00000 0.00000 0.00000 0.00000 0.00000 0.00003 0.00046 0.00500 0.04064 0.28629 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.000 1458.8 350.2 0.0333 0.0000 0.0000 0.0 0.0
31..32 0.014 1458.8 350.2 0.0333 0.0007 0.0213 1.0 7.5
32..33 0.029 1458.8 350.2 0.0333 0.0014 0.0434 2.1 15.2
33..34 0.031 1458.8 350.2 0.0333 0.0016 0.0470 2.3 16.5
34..35 0.010 1458.8 350.2 0.0333 0.0005 0.0148 0.7 5.2
35..36 0.007 1458.8 350.2 0.0333 0.0003 0.0103 0.5 3.6
36..37 0.005 1458.8 350.2 0.0333 0.0003 0.0078 0.4 2.7
37..38 0.002 1458.8 350.2 0.0333 0.0001 0.0026 0.1 0.9
38..16 0.003 1458.8 350.2 0.0333 0.0002 0.0052 0.3 1.8
38..39 0.003 1458.8 350.2 0.0333 0.0002 0.0052 0.2 1.8
39..2 0.012 1458.8 350.2 0.0333 0.0006 0.0181 0.9 6.3
39..23 0.003 1458.8 350.2 0.0333 0.0002 0.0052 0.3 1.8
37..40 0.002 1458.8 350.2 0.0333 0.0001 0.0026 0.1 0.9
40..18 0.000 1458.8 350.2 0.0333 0.0000 0.0000 0.0 0.0
40..1 0.000 1458.8 350.2 0.0333 0.0000 0.0000 0.0 0.0
40..10 0.005 1458.8 350.2 0.0333 0.0003 0.0077 0.4 2.7
40..41 0.002 1458.8 350.2 0.0333 0.0001 0.0026 0.1 0.9
41..20 0.007 1458.8 350.2 0.0333 0.0003 0.0103 0.5 3.6
41..24 0.007 1458.8 350.2 0.0333 0.0003 0.0103 0.5 3.6
36..30 0.012 1458.8 350.2 0.0333 0.0006 0.0183 0.9 6.4
35..19 0.016 1458.8 350.2 0.0333 0.0008 0.0241 1.2 8.4
34..28 0.013 1458.8 350.2 0.0333 0.0007 0.0199 1.0 7.0
33..14 0.083 1458.8 350.2 0.0333 0.0042 0.1262 6.1 44.2
32..42 0.008 1458.8 350.2 0.0333 0.0004 0.0128 0.6 4.5
42..8 0.005 1458.8 350.2 0.0333 0.0003 0.0076 0.4 2.6
42..3 0.005 1458.8 350.2 0.0333 0.0003 0.0079 0.4 2.8
31..43 0.010 1458.8 350.2 0.0333 0.0005 0.0154 0.7 5.4
43..21 0.005 1458.8 350.2 0.0333 0.0003 0.0077 0.4 2.7
43..25 0.000 1458.8 350.2 0.0333 0.0000 0.0000 0.0 0.0
31..44 0.003 1458.8 350.2 0.0333 0.0002 0.0051 0.2 1.8
44..45 0.002 1458.8 350.2 0.0333 0.0001 0.0025 0.1 0.9
45..11 0.005 1458.8 350.2 0.0333 0.0003 0.0077 0.4 2.7
45..9 0.002 1458.8 350.2 0.0333 0.0001 0.0026 0.1 0.9
44..46 0.003 1458.8 350.2 0.0333 0.0002 0.0051 0.2 1.8
46..47 0.002 1458.8 350.2 0.0333 0.0001 0.0026 0.1 0.9
47..13 0.000 1458.8 350.2 0.0333 0.0000 0.0000 0.0 0.0
47..7 0.000 1458.8 350.2 0.0333 0.0000 0.0000 0.0 0.0
46..17 0.000 1458.8 350.2 0.0333 0.0000 0.0000 0.0 0.0
46..29 0.007 1458.8 350.2 0.0333 0.0003 0.0103 0.5 3.6
44..22 0.002 1458.8 350.2 0.0333 0.0001 0.0026 0.1 0.9
44..48 0.002 1458.8 350.2 0.0333 0.0001 0.0026 0.1 0.9
48..27 0.000 1458.8 350.2 0.0333 0.0000 0.0000 0.0 0.0
48..49 0.002 1458.8 350.2 0.0333 0.0001 0.0026 0.1 0.9
49..26 0.002 1458.8 350.2 0.0333 0.0001 0.0026 0.1 0.9
49..5 0.005 1458.8 350.2 0.0333 0.0003 0.0077 0.4 2.7
44..4 0.000 1458.8 350.2 0.0333 0.0000 0.0000 0.0 0.0
44..6 0.014 1458.8 350.2 0.0333 0.0007 0.0208 1.0 7.3
44..15 0.000 1458.8 350.2 0.0333 0.0000 0.0000 0.0 0.0
Naive Empirical Bayes (NEB) analysis
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C251)
Pr(w>1) post mean +- SE for w
591 L 0.764 1.263 +- 0.482
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 0.000 0.000 0.011 0.123 0.866
ws: 0.989 0.010 0.001 0.000 0.000 0.000 0.000 0.000 0.000 0.000
Time used: 1:46:32
Model 1: NearlyNeutral -3546.872280 Model 2: PositiveSelection -3546.872280 Model 7: beta -3546.365601 Model 8: beta&w>1 -3546.365769 Model 2 vs 1 0 Model 8 vs 7 -.000336
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
