--- 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 -2319.19 -2358.32
2 -2320.91 -2360.13
--------------------------------------
TOTAL -2319.72 -2359.59
--------------------------------------
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} 0.567862 0.003891 0.450441 0.689985 0.564593 849.14 919.02 1.000
r(A<->C){all} 0.101913 0.000712 0.053505 0.156738 0.100322 850.87 853.38 1.000
r(A<->G){all} 0.184293 0.000852 0.131653 0.242626 0.183000 829.83 877.56 1.000
r(A<->T){all} 0.089493 0.000321 0.055139 0.124121 0.088678 824.11 896.59 1.000
r(C<->G){all} 0.063870 0.000778 0.011581 0.116372 0.060502 562.59 680.75 1.000
r(C<->T){all} 0.458655 0.001774 0.375652 0.539560 0.457657 751.62 752.91 1.000
r(G<->T){all} 0.101775 0.000482 0.059560 0.142753 0.100686 794.92 795.22 1.000
pi(A){all} 0.303582 0.000217 0.274904 0.331619 0.303681 890.14 1042.24 1.000
pi(C){all} 0.158220 0.000122 0.137643 0.179765 0.157769 1005.07 1073.52 1.001
pi(G){all} 0.207568 0.000165 0.183798 0.233939 0.207689 1022.93 1067.08 1.000
pi(T){all} 0.330630 0.000218 0.302531 0.359823 0.330450 723.44 859.80 1.000
alpha{1,2} 0.489513 0.052225 0.200365 0.895750 0.436430 1059.33 1139.29 1.000
alpha{3} 3.040201 1.891544 1.009189 5.799724 2.742345 1172.07 1327.75 1.000
pinvar{all} 0.094890 0.005085 0.000071 0.234344 0.081174 1281.51 1345.65 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 -1669.984392
Model 2: PositiveSelection -1669.984392
Model 7: beta -1667.361381
Model 8: beta&w>1 -1667.361334
Model 2 vs 1 0
Model 8 vs 7 .000094
-- Starting log on Fri Nov 18 14:39:14 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10631_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Fri Nov 18 14:40:46 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10631_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Fri Nov 18 20:56:46 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10631_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/gapped_alignment/codeml,DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10631_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 834 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C180
Taxon 2 -> C258
Taxon 3 -> C44
Taxon 4 -> C118
Taxon 5 -> C192
Taxon 6 -> C223
Taxon 7 -> C282
Taxon 8 -> C28
Taxon 9 -> C38
Taxon 10 -> C47
Taxon 11 -> C17
Taxon 12 -> C59
Taxon 13 -> C172
Taxon 14 -> C103
Taxon 15 -> C113
Taxon 16 -> C29
Taxon 17 -> C49
Taxon 18 -> C115
Taxon 19 -> C57
Taxon 20 -> C122
Taxon 21 -> C64
Taxon 22 -> C69
Taxon 23 -> C36
Taxon 24 -> C71
Taxon 25 -> C76
Taxon 26 -> C135
Taxon 27 -> C134
Taxon 28 -> C3
Taxon 29 -> C83
Taxon 30 -> C53
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1668805009
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) = 1935950635
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 = 6755491966
Seed = 208853715
Swapseed = 1668805009
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 38 unique site patterns
Division 2 has 34 unique site patterns
Division 3 has 71 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 -- -5030.473846 -- 82.122948
Chain 2 -- -4847.473645 -- 82.122948
Chain 3 -- -5353.292888 -- 82.122948
Chain 4 -- -4860.536727 -- 82.122948
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -5160.398798 -- 82.122948
Chain 2 -- -5179.259895 -- 82.122948
Chain 3 -- -5059.891299 -- 82.122948
Chain 4 -- -4957.343765 -- 82.122948
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-5030.474] (-4847.474) (-5353.293) (-4860.537) * [-5160.399] (-5179.260) (-5059.891) (-4957.344)
1000 -- (-2923.177) (-2884.199) (-2867.046) [-2723.597] * (-2716.074) (-2740.967) (-2724.256) [-2676.373] -- 0:16:39
2000 -- (-2564.082) (-2601.420) (-2456.739) [-2531.282] * (-2422.307) (-2515.263) (-2606.875) [-2357.409] -- 0:16:38
3000 -- (-2396.859) [-2370.672] (-2382.943) (-2375.591) * (-2357.814) (-2377.002) (-2511.279) [-2344.273] -- 0:11:04
4000 -- (-2354.791) [-2347.196] (-2347.554) (-2355.353) * (-2332.157) (-2352.561) (-2430.399) [-2349.238] -- 0:12:27
5000 -- [-2332.234] (-2343.798) (-2352.582) (-2363.491) * [-2340.483] (-2355.510) (-2369.960) (-2348.268) -- 0:13:16
Average standard deviation of split frequencies: 0.077429
6000 -- [-2338.847] (-2340.880) (-2337.907) (-2338.657) * (-2347.208) (-2346.947) (-2346.185) [-2339.222] -- 0:13:48
7000 -- (-2351.230) (-2340.723) [-2338.240] (-2338.494) * (-2345.913) [-2336.462] (-2348.770) (-2347.351) -- 0:14:11
8000 -- (-2352.034) (-2356.497) [-2335.348] (-2330.776) * (-2339.654) [-2338.728] (-2348.426) (-2351.855) -- 0:14:28
9000 -- (-2339.533) (-2337.166) [-2344.835] (-2347.285) * [-2348.012] (-2357.270) (-2330.399) (-2369.269) -- 0:14:40
10000 -- [-2337.625] (-2347.189) (-2334.005) (-2355.956) * (-2348.921) (-2351.695) [-2327.908] (-2356.387) -- 0:14:51
Average standard deviation of split frequencies: 0.072043
11000 -- (-2352.449) (-2332.190) (-2360.469) [-2348.358] * [-2329.857] (-2343.036) (-2340.292) (-2350.819) -- 0:14:59
12000 -- (-2346.748) [-2336.249] (-2343.976) (-2329.086) * [-2325.135] (-2336.069) (-2344.932) (-2348.699) -- 0:15:05
13000 -- (-2356.033) [-2351.908] (-2346.547) (-2343.712) * [-2323.684] (-2341.229) (-2351.647) (-2344.398) -- 0:15:11
14000 -- (-2341.647) [-2330.834] (-2330.385) (-2356.052) * (-2338.702) (-2359.252) (-2356.060) [-2332.231] -- 0:15:15
15000 -- (-2340.568) [-2336.818] (-2332.938) (-2335.518) * (-2322.128) [-2331.963] (-2360.473) (-2340.227) -- 0:15:19
Average standard deviation of split frequencies: 0.055703
16000 -- [-2347.500] (-2354.054) (-2341.968) (-2328.419) * (-2336.053) [-2328.304] (-2356.552) (-2353.646) -- 0:15:22
17000 -- (-2340.737) (-2357.217) (-2344.695) [-2338.638] * [-2329.217] (-2364.046) (-2345.383) (-2336.580) -- 0:15:25
18000 -- (-2327.828) [-2346.674] (-2342.485) (-2344.105) * [-2332.290] (-2356.961) (-2337.093) (-2341.273) -- 0:15:27
19000 -- [-2333.212] (-2337.368) (-2355.883) (-2360.904) * (-2337.084) (-2366.476) (-2340.431) [-2341.711] -- 0:15:29
20000 -- (-2340.582) (-2328.611) [-2332.051] (-2358.972) * [-2337.193] (-2344.464) (-2361.340) (-2339.028) -- 0:15:31
Average standard deviation of split frequencies: 0.052699
21000 -- (-2338.172) (-2341.455) (-2363.144) [-2331.904] * (-2333.156) (-2352.216) (-2355.654) [-2330.394] -- 0:15:32
22000 -- (-2346.035) (-2332.599) (-2344.295) [-2347.289] * (-2367.270) (-2342.182) [-2335.812] (-2346.749) -- 0:15:33
23000 -- (-2356.723) (-2333.550) [-2334.420] (-2346.504) * (-2349.238) (-2360.609) (-2341.687) [-2349.805] -- 0:15:34
24000 -- (-2345.947) [-2333.467] (-2344.047) (-2350.168) * (-2358.302) (-2355.779) [-2321.351] (-2344.684) -- 0:15:35
25000 -- (-2333.237) (-2348.031) (-2348.392) [-2326.754] * (-2342.752) (-2339.383) (-2338.233) [-2347.682] -- 0:15:36
Average standard deviation of split frequencies: 0.044178
26000 -- [-2335.000] (-2351.563) (-2335.762) (-2342.697) * (-2338.165) (-2345.688) [-2335.907] (-2353.958) -- 0:15:36
27000 -- (-2340.379) (-2356.040) [-2343.561] (-2339.443) * (-2339.687) (-2350.470) [-2331.351] (-2349.517) -- 0:15:36
28000 -- (-2348.804) (-2364.475) [-2341.359] (-2339.756) * (-2346.895) [-2340.464] (-2355.914) (-2356.947) -- 0:15:37
29000 -- [-2334.640] (-2347.818) (-2338.895) (-2367.143) * (-2336.038) [-2339.465] (-2343.103) (-2335.254) -- 0:15:37
30000 -- (-2348.274) [-2343.331] (-2367.325) (-2344.341) * [-2328.798] (-2338.574) (-2338.675) (-2344.287) -- 0:15:37
Average standard deviation of split frequencies: 0.040992
31000 -- (-2330.137) [-2336.456] (-2327.844) (-2343.369) * (-2331.130) [-2345.312] (-2347.574) (-2340.497) -- 0:15:37
32000 -- (-2341.235) (-2348.224) (-2334.474) [-2337.159] * (-2351.082) [-2329.486] (-2357.028) (-2342.601) -- 0:15:37
33000 -- (-2334.947) (-2353.155) (-2352.211) [-2333.018] * (-2352.087) (-2327.327) [-2347.019] (-2343.083) -- 0:15:37
34000 -- (-2340.067) (-2335.475) [-2330.063] (-2347.292) * (-2348.287) (-2351.459) [-2332.745] (-2336.722) -- 0:15:37
35000 -- (-2332.738) (-2373.279) (-2339.612) [-2331.912] * (-2341.701) (-2342.212) (-2336.118) [-2343.964] -- 0:15:37
Average standard deviation of split frequencies: 0.037996
36000 -- (-2339.698) (-2347.866) (-2337.477) [-2329.740] * (-2335.532) (-2348.449) [-2342.179] (-2352.993) -- 0:15:37
37000 -- (-2349.943) (-2350.348) (-2335.413) [-2338.590] * (-2330.856) (-2359.220) (-2328.929) [-2330.297] -- 0:15:36
38000 -- (-2338.608) [-2348.173] (-2342.705) (-2326.862) * (-2330.357) (-2361.563) [-2335.012] (-2345.418) -- 0:15:36
39000 -- (-2329.846) (-2343.932) (-2343.440) [-2343.452] * (-2343.934) [-2320.622] (-2340.030) (-2344.915) -- 0:15:36
40000 -- (-2333.717) (-2348.069) [-2336.911] (-2353.352) * [-2340.091] (-2326.849) (-2353.333) (-2343.035) -- 0:15:36
Average standard deviation of split frequencies: 0.039263
41000 -- (-2342.394) (-2341.331) (-2351.937) [-2332.348] * (-2337.877) [-2330.101] (-2344.763) (-2339.323) -- 0:15:35
42000 -- [-2335.007] (-2330.440) (-2355.217) (-2336.824) * (-2348.754) [-2332.691] (-2352.361) (-2342.608) -- 0:15:35
43000 -- (-2342.817) (-2336.407) (-2349.748) [-2338.100] * (-2345.758) (-2342.497) (-2349.657) [-2328.741] -- 0:15:34
44000 -- (-2361.347) (-2352.116) (-2342.632) [-2343.041] * [-2341.294] (-2326.178) (-2339.886) (-2342.976) -- 0:15:34
45000 -- [-2340.882] (-2349.015) (-2345.627) (-2345.313) * [-2344.370] (-2324.611) (-2359.507) (-2354.585) -- 0:15:33
Average standard deviation of split frequencies: 0.036239
46000 -- (-2345.391) (-2340.047) [-2351.060] (-2359.507) * [-2335.202] (-2340.433) (-2356.399) (-2343.515) -- 0:15:33
47000 -- [-2357.664] (-2339.930) (-2342.993) (-2352.576) * (-2346.532) (-2339.273) (-2351.871) [-2343.082] -- 0:15:32
48000 -- [-2340.258] (-2333.554) (-2365.916) (-2354.231) * (-2349.235) (-2351.481) (-2345.987) [-2355.752] -- 0:15:32
49000 -- (-2349.132) [-2323.068] (-2351.276) (-2378.178) * [-2336.000] (-2351.492) (-2342.724) (-2351.823) -- 0:15:31
50000 -- (-2352.416) [-2331.098] (-2334.451) (-2350.332) * [-2341.826] (-2348.404) (-2360.264) (-2345.024) -- 0:15:31
Average standard deviation of split frequencies: 0.044688
51000 -- [-2353.977] (-2324.011) (-2343.986) (-2345.854) * (-2335.790) [-2348.647] (-2353.429) (-2351.603) -- 0:15:30
52000 -- (-2337.686) [-2331.269] (-2356.451) (-2332.329) * (-2364.124) (-2348.478) (-2343.277) [-2355.454] -- 0:15:29
53000 -- (-2341.290) (-2357.580) [-2344.642] (-2358.752) * (-2361.098) (-2346.612) [-2346.756] (-2364.623) -- 0:15:29
54000 -- (-2350.569) (-2334.831) [-2317.588] (-2351.350) * (-2373.069) (-2343.629) (-2332.942) [-2344.112] -- 0:15:28
55000 -- (-2346.884) (-2334.357) (-2338.252) [-2331.231] * (-2358.456) (-2347.871) [-2337.341] (-2341.441) -- 0:15:27
Average standard deviation of split frequencies: 0.050113
56000 -- (-2351.664) (-2337.410) (-2342.994) [-2324.364] * (-2385.391) [-2347.011] (-2333.560) (-2353.246) -- 0:15:27
57000 -- (-2358.832) (-2331.858) [-2331.121] (-2339.565) * (-2352.609) (-2343.794) (-2364.213) [-2337.583] -- 0:15:26
58000 -- (-2340.765) (-2334.245) [-2332.568] (-2336.819) * (-2340.399) (-2349.254) (-2331.466) [-2336.976] -- 0:15:25
59000 -- (-2357.732) (-2336.792) [-2324.881] (-2342.532) * (-2347.861) (-2356.467) (-2356.029) [-2332.491] -- 0:15:25
60000 -- [-2337.228] (-2329.414) (-2340.343) (-2340.729) * (-2353.062) [-2331.675] (-2346.595) (-2353.719) -- 0:15:24
Average standard deviation of split frequencies: 0.053991
61000 -- (-2361.192) [-2330.390] (-2336.077) (-2327.951) * (-2347.144) [-2344.950] (-2356.016) (-2339.817) -- 0:15:23
62000 -- (-2341.815) (-2346.916) (-2335.889) [-2327.846] * (-2341.569) [-2339.123] (-2373.523) (-2331.594) -- 0:15:22
63000 -- (-2367.407) [-2333.548] (-2339.933) (-2339.806) * (-2332.358) [-2343.788] (-2352.313) (-2353.474) -- 0:15:22
64000 -- (-2339.080) (-2339.332) (-2331.306) [-2349.090] * (-2352.400) (-2346.855) [-2334.152] (-2333.720) -- 0:15:21
65000 -- (-2355.896) [-2345.775] (-2332.400) (-2348.630) * [-2343.070] (-2344.161) (-2337.854) (-2349.554) -- 0:15:20
Average standard deviation of split frequencies: 0.055912
66000 -- [-2330.303] (-2357.247) (-2336.222) (-2345.013) * [-2324.321] (-2348.083) (-2343.686) (-2341.356) -- 0:15:19
67000 -- (-2335.350) [-2335.931] (-2339.511) (-2344.739) * (-2336.825) (-2329.132) (-2350.097) [-2339.154] -- 0:15:19
68000 -- [-2339.986] (-2352.164) (-2353.288) (-2348.543) * [-2341.378] (-2347.474) (-2336.463) (-2347.786) -- 0:15:18
69000 -- (-2341.665) (-2352.072) (-2356.303) [-2332.056] * (-2325.093) (-2350.766) [-2327.239] (-2340.504) -- 0:15:17
70000 -- (-2347.874) [-2335.214] (-2353.537) (-2330.968) * (-2352.359) (-2341.824) (-2347.682) [-2333.829] -- 0:15:16
Average standard deviation of split frequencies: 0.056487
71000 -- (-2336.189) [-2336.106] (-2358.197) (-2348.045) * (-2347.785) (-2358.743) [-2336.584] (-2347.735) -- 0:15:15
72000 -- (-2343.378) [-2340.170] (-2332.637) (-2345.287) * (-2349.978) (-2345.636) (-2347.922) [-2350.715] -- 0:15:15
73000 -- (-2342.526) [-2329.335] (-2348.698) (-2347.716) * (-2354.922) (-2350.620) (-2329.277) [-2347.083] -- 0:15:14
74000 -- (-2340.098) [-2325.183] (-2338.787) (-2362.264) * [-2342.965] (-2344.755) (-2334.625) (-2335.064) -- 0:15:00
75000 -- (-2348.555) [-2320.198] (-2351.618) (-2339.300) * (-2346.240) (-2339.034) [-2333.336] (-2367.378) -- 0:15:00
Average standard deviation of split frequencies: 0.052565
76000 -- (-2350.194) (-2337.872) [-2327.472] (-2339.401) * [-2361.430] (-2336.171) (-2330.163) (-2373.732) -- 0:14:59
77000 -- (-2340.202) (-2350.703) [-2331.276] (-2352.189) * (-2365.652) (-2338.038) (-2343.048) [-2341.806] -- 0:14:59
78000 -- [-2323.567] (-2373.687) (-2334.911) (-2330.444) * (-2360.893) (-2332.064) (-2334.826) [-2338.976] -- 0:14:58
79000 -- (-2339.305) (-2353.849) (-2333.715) [-2337.191] * (-2351.274) (-2345.196) [-2326.925] (-2346.203) -- 0:14:57
80000 -- [-2338.452] (-2343.569) (-2338.791) (-2346.731) * (-2341.361) (-2345.238) [-2336.983] (-2359.593) -- 0:14:57
Average standard deviation of split frequencies: 0.056632
81000 -- (-2343.965) (-2363.355) [-2340.422] (-2365.085) * (-2338.871) (-2341.196) [-2339.314] (-2345.902) -- 0:14:56
82000 -- [-2355.768] (-2349.948) (-2348.353) (-2354.213) * [-2330.138] (-2348.072) (-2336.200) (-2356.515) -- 0:14:55
83000 -- (-2361.507) (-2360.092) [-2340.427] (-2362.044) * [-2329.393] (-2346.529) (-2350.884) (-2366.314) -- 0:14:54
84000 -- (-2352.567) [-2351.873] (-2338.534) (-2354.740) * [-2326.895] (-2357.434) (-2335.178) (-2351.789) -- 0:14:54
85000 -- [-2355.984] (-2345.221) (-2339.746) (-2337.377) * (-2335.500) (-2351.444) (-2338.761) [-2337.233] -- 0:14:53
Average standard deviation of split frequencies: 0.053757
86000 -- (-2347.044) (-2353.477) (-2336.918) [-2337.866] * (-2343.615) (-2335.599) (-2334.922) [-2324.378] -- 0:14:52
87000 -- (-2371.306) (-2337.331) (-2340.150) [-2338.570] * (-2344.219) (-2350.916) (-2342.483) [-2339.441] -- 0:14:52
88000 -- (-2369.099) [-2353.758] (-2342.386) (-2348.229) * (-2334.191) [-2317.382] (-2341.261) (-2349.066) -- 0:14:51
89000 -- (-2343.769) (-2372.291) [-2325.101] (-2344.155) * (-2335.936) (-2347.556) [-2337.248] (-2347.449) -- 0:14:50
90000 -- (-2356.392) (-2343.635) (-2321.422) [-2321.995] * (-2347.937) [-2344.743] (-2329.817) (-2353.630) -- 0:14:49
Average standard deviation of split frequencies: 0.052277
91000 -- (-2343.651) (-2347.665) [-2317.827] (-2325.498) * [-2336.458] (-2352.332) (-2333.156) (-2337.312) -- 0:14:49
92000 -- (-2342.882) (-2346.353) [-2333.671] (-2349.964) * (-2337.140) (-2343.400) [-2342.639] (-2333.342) -- 0:14:48
93000 -- (-2346.862) [-2353.237] (-2335.197) (-2344.217) * (-2365.734) (-2342.456) [-2336.644] (-2331.896) -- 0:14:47
94000 -- [-2326.417] (-2341.010) (-2350.919) (-2340.635) * (-2358.383) [-2343.909] (-2336.169) (-2333.847) -- 0:14:46
95000 -- (-2352.661) [-2336.669] (-2352.837) (-2342.806) * [-2337.190] (-2345.721) (-2352.293) (-2339.864) -- 0:14:45
Average standard deviation of split frequencies: 0.050087
96000 -- (-2350.570) (-2351.379) [-2354.009] (-2344.940) * (-2342.561) (-2369.823) [-2335.896] (-2350.300) -- 0:14:45
97000 -- (-2355.805) [-2336.471] (-2345.744) (-2354.460) * [-2328.824] (-2336.817) (-2339.329) (-2354.989) -- 0:14:44
98000 -- (-2351.858) [-2333.950] (-2362.514) (-2361.833) * (-2326.652) [-2325.979] (-2341.744) (-2347.583) -- 0:14:43
99000 -- (-2346.463) (-2330.650) [-2342.323] (-2361.270) * (-2343.225) (-2337.075) [-2340.849] (-2361.143) -- 0:14:42
100000 -- (-2323.540) (-2344.902) (-2339.087) [-2338.927] * [-2331.883] (-2329.530) (-2337.995) (-2359.223) -- 0:14:42
Average standard deviation of split frequencies: 0.046198
101000 -- (-2325.588) (-2338.401) [-2347.178] (-2347.440) * (-2323.302) (-2340.103) (-2342.135) [-2349.756] -- 0:14:41
102000 -- (-2338.051) (-2349.447) [-2346.745] (-2358.904) * (-2349.867) (-2355.513) [-2336.085] (-2370.113) -- 0:14:40
103000 -- (-2336.621) [-2349.139] (-2357.674) (-2334.780) * [-2335.199] (-2345.282) (-2334.462) (-2337.067) -- 0:14:39
104000 -- (-2338.441) [-2335.977] (-2353.228) (-2346.305) * [-2332.777] (-2353.958) (-2342.896) (-2344.704) -- 0:14:38
105000 -- (-2334.810) [-2342.409] (-2345.797) (-2356.527) * (-2339.232) [-2336.083] (-2340.576) (-2358.447) -- 0:14:37
Average standard deviation of split frequencies: 0.045143
106000 -- (-2359.337) (-2345.149) [-2342.234] (-2354.704) * (-2345.528) (-2348.335) [-2336.869] (-2343.781) -- 0:14:37
107000 -- (-2338.190) [-2336.116] (-2345.382) (-2360.318) * (-2347.547) (-2340.916) (-2347.187) [-2345.192] -- 0:14:36
108000 -- (-2349.389) (-2336.407) [-2339.021] (-2357.626) * (-2338.631) (-2349.644) (-2357.225) [-2340.557] -- 0:14:35
109000 -- [-2337.263] (-2331.133) (-2351.757) (-2335.143) * (-2336.080) (-2337.997) (-2368.938) [-2339.059] -- 0:14:34
110000 -- [-2325.479] (-2352.137) (-2346.801) (-2344.833) * [-2332.403] (-2330.606) (-2364.328) (-2345.073) -- 0:14:33
Average standard deviation of split frequencies: 0.046283
111000 -- [-2339.170] (-2349.990) (-2349.209) (-2355.059) * [-2348.254] (-2334.896) (-2336.418) (-2365.222) -- 0:14:32
112000 -- (-2354.369) [-2343.052] (-2371.360) (-2341.343) * (-2332.340) (-2328.446) [-2325.461] (-2368.441) -- 0:14:32
113000 -- (-2345.342) [-2353.456] (-2381.690) (-2328.726) * (-2354.259) (-2340.915) [-2319.857] (-2338.370) -- 0:14:31
114000 -- (-2361.806) (-2326.109) (-2366.342) [-2346.857] * (-2356.862) (-2344.527) [-2327.519] (-2341.809) -- 0:14:30
115000 -- (-2361.449) [-2334.491] (-2345.077) (-2349.982) * (-2344.656) (-2335.405) (-2349.974) [-2334.196] -- 0:14:29
Average standard deviation of split frequencies: 0.042939
116000 -- (-2360.101) (-2325.227) [-2336.364] (-2340.164) * (-2338.012) [-2345.935] (-2325.339) (-2360.332) -- 0:14:28
117000 -- (-2351.329) (-2346.006) [-2329.253] (-2344.777) * (-2354.515) (-2356.960) [-2338.421] (-2341.154) -- 0:14:27
118000 -- (-2349.498) (-2329.660) (-2353.283) [-2342.087] * (-2345.106) (-2354.613) (-2360.926) [-2331.959] -- 0:14:27
119000 -- (-2368.572) (-2342.794) (-2340.416) [-2332.417] * (-2352.055) (-2341.994) [-2339.862] (-2333.047) -- 0:14:26
120000 -- (-2352.842) [-2329.214] (-2354.622) (-2335.586) * [-2338.186] (-2368.462) (-2343.162) (-2336.338) -- 0:14:25
Average standard deviation of split frequencies: 0.044551
121000 -- (-2355.419) [-2339.438] (-2328.951) (-2348.594) * (-2368.135) (-2342.929) [-2334.214] (-2342.004) -- 0:14:24
122000 -- [-2335.078] (-2383.607) (-2350.188) (-2336.779) * (-2347.947) (-2361.328) [-2339.650] (-2341.391) -- 0:14:23
123000 -- (-2331.990) (-2344.926) (-2355.105) [-2347.505] * (-2353.618) (-2378.070) (-2340.895) [-2310.347] -- 0:14:22
124000 -- [-2331.536] (-2372.840) (-2344.300) (-2334.146) * (-2347.065) (-2351.651) [-2333.554] (-2336.731) -- 0:14:21
125000 -- (-2331.972) (-2358.775) (-2338.967) [-2343.404] * (-2359.105) (-2345.505) [-2325.842] (-2363.804) -- 0:14:21
Average standard deviation of split frequencies: 0.042919
126000 -- (-2375.148) [-2336.774] (-2352.274) (-2328.805) * (-2353.516) (-2345.075) [-2334.537] (-2357.928) -- 0:14:20
127000 -- (-2365.325) (-2345.103) [-2344.268] (-2335.075) * (-2351.403) [-2328.253] (-2342.111) (-2341.109) -- 0:14:19
128000 -- (-2352.041) (-2353.838) (-2342.527) [-2337.560] * [-2339.638] (-2333.479) (-2325.143) (-2352.054) -- 0:14:11
129000 -- (-2345.988) [-2343.843] (-2348.060) (-2337.811) * (-2360.440) [-2348.850] (-2345.158) (-2352.582) -- 0:14:10
130000 -- (-2351.227) (-2344.467) (-2346.399) [-2341.258] * [-2339.171] (-2335.949) (-2341.895) (-2347.170) -- 0:14:09
Average standard deviation of split frequencies: 0.040586
131000 -- (-2326.547) (-2340.818) (-2333.607) [-2344.759] * (-2344.220) (-2344.110) [-2329.781] (-2363.428) -- 0:14:09
132000 -- (-2360.110) [-2331.605] (-2342.486) (-2343.737) * [-2325.170] (-2344.401) (-2351.258) (-2337.418) -- 0:14:08
133000 -- (-2326.293) (-2345.300) (-2330.348) [-2335.271] * (-2342.976) (-2352.825) (-2332.627) [-2333.542] -- 0:14:07
134000 -- (-2345.703) [-2354.266] (-2353.051) (-2338.974) * (-2350.133) (-2351.941) (-2344.487) [-2337.625] -- 0:14:06
135000 -- [-2324.860] (-2341.543) (-2338.847) (-2343.863) * [-2345.988] (-2336.546) (-2358.752) (-2339.859) -- 0:14:05
Average standard deviation of split frequencies: 0.037213
136000 -- (-2341.298) (-2347.883) [-2345.079] (-2347.836) * (-2343.434) [-2331.261] (-2354.162) (-2340.390) -- 0:14:04
137000 -- [-2328.279] (-2339.698) (-2350.972) (-2345.431) * (-2346.478) (-2352.349) (-2369.523) [-2332.261] -- 0:14:04
138000 -- (-2337.259) (-2340.575) [-2348.199] (-2331.664) * (-2350.774) [-2332.267] (-2331.432) (-2349.046) -- 0:14:03
139000 -- [-2337.176] (-2356.956) (-2348.965) (-2344.723) * (-2348.442) [-2352.292] (-2359.453) (-2367.099) -- 0:14:02
140000 -- [-2334.663] (-2340.937) (-2344.718) (-2357.790) * (-2339.979) (-2345.491) (-2347.843) [-2338.444] -- 0:14:01
Average standard deviation of split frequencies: 0.034903
141000 -- (-2344.641) (-2343.251) [-2349.843] (-2346.689) * (-2346.014) (-2357.019) [-2333.337] (-2353.502) -- 0:14:00
142000 -- [-2318.954] (-2347.244) (-2343.167) (-2368.630) * [-2333.721] (-2352.966) (-2349.363) (-2339.438) -- 0:13:59
143000 -- (-2350.332) [-2325.567] (-2337.450) (-2349.261) * (-2371.437) (-2330.720) [-2324.806] (-2348.117) -- 0:13:59
144000 -- [-2336.134] (-2328.908) (-2336.897) (-2341.277) * (-2343.721) [-2325.759] (-2350.744) (-2332.788) -- 0:13:58
145000 -- (-2337.699) [-2326.521] (-2348.934) (-2336.825) * [-2340.067] (-2345.827) (-2347.121) (-2342.214) -- 0:13:57
Average standard deviation of split frequencies: 0.034523
146000 -- (-2353.418) [-2333.446] (-2349.586) (-2345.331) * (-2342.488) [-2322.320] (-2348.408) (-2350.488) -- 0:13:56
147000 -- (-2346.341) [-2337.592] (-2333.532) (-2344.378) * [-2327.991] (-2345.392) (-2341.940) (-2342.119) -- 0:13:55
148000 -- (-2338.196) [-2340.213] (-2345.750) (-2344.631) * (-2346.516) (-2333.682) (-2350.085) [-2347.847] -- 0:13:54
149000 -- (-2343.213) (-2356.343) [-2335.967] (-2338.283) * (-2341.837) [-2338.901] (-2340.415) (-2333.457) -- 0:13:53
150000 -- (-2346.263) (-2327.848) [-2343.216] (-2332.556) * (-2336.787) (-2344.266) (-2336.280) [-2352.578] -- 0:13:53
Average standard deviation of split frequencies: 0.034171
151000 -- (-2340.309) [-2339.854] (-2346.491) (-2336.378) * [-2333.853] (-2343.881) (-2335.763) (-2333.377) -- 0:13:52
152000 -- (-2347.714) [-2335.548] (-2368.317) (-2358.458) * (-2336.660) (-2366.605) (-2338.697) [-2333.235] -- 0:13:51
153000 -- (-2345.671) [-2340.520] (-2340.780) (-2327.736) * (-2349.073) (-2338.818) (-2326.629) [-2335.202] -- 0:13:50
154000 -- (-2340.877) (-2348.057) [-2343.700] (-2323.113) * (-2331.745) (-2347.846) [-2340.912] (-2342.536) -- 0:13:49
155000 -- (-2360.069) [-2342.151] (-2363.205) (-2350.252) * (-2356.803) (-2361.440) [-2340.047] (-2343.158) -- 0:13:48
Average standard deviation of split frequencies: 0.034207
156000 -- [-2337.955] (-2352.634) (-2354.961) (-2355.670) * [-2327.680] (-2348.500) (-2357.598) (-2354.990) -- 0:13:47
157000 -- [-2329.896] (-2347.421) (-2347.126) (-2354.075) * (-2331.511) [-2323.805] (-2352.998) (-2334.740) -- 0:13:46
158000 -- (-2353.144) (-2336.566) [-2326.004] (-2345.932) * (-2346.696) [-2339.693] (-2340.112) (-2341.353) -- 0:13:46
159000 -- (-2358.143) [-2329.044] (-2322.208) (-2336.905) * (-2345.027) (-2341.059) (-2335.858) [-2337.586] -- 0:13:45
160000 -- [-2355.293] (-2337.880) (-2344.094) (-2338.676) * (-2355.198) (-2347.071) (-2332.802) [-2329.797] -- 0:13:44
Average standard deviation of split frequencies: 0.035496
161000 -- (-2345.025) (-2348.812) (-2336.038) [-2331.204] * (-2340.792) [-2350.363] (-2328.487) (-2336.457) -- 0:13:43
162000 -- [-2351.030] (-2343.072) (-2330.035) (-2348.598) * [-2330.247] (-2348.149) (-2331.516) (-2341.762) -- 0:13:42
163000 -- (-2336.632) [-2323.751] (-2359.689) (-2332.683) * [-2338.524] (-2351.584) (-2347.135) (-2357.394) -- 0:13:36
164000 -- (-2357.350) (-2345.043) (-2355.844) [-2332.684] * (-2372.262) (-2342.037) [-2329.520] (-2348.606) -- 0:13:35
165000 -- (-2343.468) [-2336.409] (-2352.881) (-2340.405) * (-2361.101) (-2342.509) [-2326.524] (-2349.347) -- 0:13:34
Average standard deviation of split frequencies: 0.033910
166000 -- (-2348.140) (-2343.491) (-2356.617) [-2337.544] * [-2356.114] (-2339.956) (-2336.794) (-2346.677) -- 0:13:33
167000 -- (-2360.948) (-2345.120) [-2330.626] (-2335.697) * [-2327.492] (-2350.762) (-2331.838) (-2362.259) -- 0:13:33
168000 -- [-2340.111] (-2347.786) (-2341.563) (-2340.734) * (-2336.178) (-2338.881) (-2335.589) [-2327.353] -- 0:13:32
169000 -- (-2357.461) (-2333.867) (-2349.088) [-2347.213] * (-2345.993) (-2347.078) (-2349.809) [-2327.042] -- 0:13:31
170000 -- (-2338.648) (-2360.635) (-2339.291) [-2333.796] * [-2330.945] (-2347.261) (-2360.225) (-2329.260) -- 0:13:30
Average standard deviation of split frequencies: 0.037448
171000 -- (-2341.631) (-2337.579) (-2348.419) [-2327.189] * (-2359.373) (-2353.889) (-2357.880) [-2323.775] -- 0:13:29
172000 -- [-2345.544] (-2357.012) (-2345.669) (-2333.362) * (-2357.110) (-2353.870) (-2345.821) [-2328.779] -- 0:13:28
173000 -- (-2339.692) (-2344.513) [-2333.839] (-2342.615) * (-2339.086) (-2359.907) [-2353.768] (-2331.936) -- 0:13:27
174000 -- (-2346.899) [-2336.463] (-2344.394) (-2342.387) * (-2338.586) [-2335.532] (-2356.638) (-2348.493) -- 0:13:27
175000 -- (-2335.270) (-2345.309) (-2334.172) [-2339.815] * [-2336.979] (-2336.589) (-2345.720) (-2345.687) -- 0:13:26
Average standard deviation of split frequencies: 0.038076
176000 -- (-2347.566) (-2344.228) [-2326.365] (-2342.077) * (-2338.892) (-2335.451) [-2328.780] (-2348.689) -- 0:13:25
177000 -- (-2337.081) (-2355.365) [-2338.686] (-2340.957) * (-2341.988) (-2344.486) [-2330.089] (-2345.435) -- 0:13:24
178000 -- [-2329.943] (-2349.226) (-2343.314) (-2361.350) * (-2346.388) (-2341.875) (-2347.341) [-2330.383] -- 0:13:23
179000 -- (-2336.389) (-2363.918) (-2346.692) [-2331.154] * [-2341.202] (-2362.054) (-2348.338) (-2357.132) -- 0:13:22
180000 -- (-2343.013) (-2344.855) (-2367.387) [-2339.820] * (-2344.006) (-2347.494) [-2316.503] (-2363.288) -- 0:13:21
Average standard deviation of split frequencies: 0.036632
181000 -- (-2328.317) [-2344.193] (-2342.213) (-2352.572) * [-2329.583] (-2355.603) (-2344.565) (-2359.908) -- 0:13:20
182000 -- (-2348.213) [-2328.361] (-2334.337) (-2364.954) * [-2331.955] (-2333.718) (-2351.143) (-2350.446) -- 0:13:20
183000 -- [-2339.242] (-2337.311) (-2343.008) (-2354.278) * (-2346.623) [-2322.726] (-2354.519) (-2340.649) -- 0:13:19
184000 -- (-2346.655) (-2337.118) [-2334.457] (-2344.153) * [-2340.472] (-2339.442) (-2339.066) (-2335.092) -- 0:13:18
185000 -- (-2349.359) [-2339.036] (-2344.326) (-2340.883) * [-2328.710] (-2344.277) (-2335.486) (-2337.782) -- 0:13:17
Average standard deviation of split frequencies: 0.035581
186000 -- (-2342.293) (-2357.178) (-2342.600) [-2334.732] * (-2330.139) [-2335.662] (-2342.248) (-2341.894) -- 0:13:16
187000 -- (-2345.240) [-2345.946] (-2342.758) (-2373.187) * [-2337.948] (-2334.421) (-2337.074) (-2348.163) -- 0:13:15
188000 -- (-2346.757) (-2349.707) [-2337.512] (-2360.150) * (-2341.313) [-2352.212] (-2359.137) (-2335.830) -- 0:13:14
189000 -- (-2351.965) (-2332.564) (-2337.703) [-2333.505] * (-2343.994) (-2344.612) (-2339.942) [-2332.426] -- 0:13:13
190000 -- (-2351.859) (-2321.791) [-2329.553] (-2355.753) * (-2340.435) [-2331.081] (-2346.403) (-2351.435) -- 0:13:12
Average standard deviation of split frequencies: 0.034856
191000 -- (-2345.090) [-2314.633] (-2336.780) (-2345.052) * [-2337.306] (-2349.951) (-2341.259) (-2352.595) -- 0:13:12
192000 -- (-2344.348) (-2348.208) [-2350.373] (-2336.981) * (-2333.225) (-2347.364) (-2361.277) [-2333.087] -- 0:13:11
193000 -- (-2334.220) (-2335.906) [-2334.440] (-2351.918) * (-2345.595) [-2336.646] (-2365.371) (-2338.034) -- 0:13:10
194000 -- [-2335.600] (-2336.362) (-2322.679) (-2352.731) * (-2345.444) [-2348.430] (-2359.957) (-2357.867) -- 0:13:09
195000 -- (-2337.541) (-2362.563) [-2336.425] (-2342.342) * (-2344.415) (-2329.823) [-2339.484] (-2341.552) -- 0:13:08
Average standard deviation of split frequencies: 0.034297
196000 -- [-2340.619] (-2363.409) (-2340.543) (-2329.921) * (-2350.235) (-2333.230) (-2336.455) [-2324.514] -- 0:13:07
197000 -- (-2344.984) [-2344.775] (-2342.525) (-2334.543) * (-2334.700) (-2348.880) (-2344.163) [-2331.879] -- 0:13:06
198000 -- (-2376.802) [-2331.752] (-2349.742) (-2343.965) * (-2343.942) (-2337.616) (-2339.175) [-2348.120] -- 0:13:05
199000 -- (-2376.098) (-2333.120) (-2347.359) [-2335.245] * (-2344.213) (-2328.770) [-2337.214] (-2343.125) -- 0:13:04
200000 -- (-2346.926) (-2341.275) [-2333.883] (-2348.612) * (-2353.476) (-2336.024) [-2332.854] (-2346.466) -- 0:13:04
Average standard deviation of split frequencies: 0.032137
201000 -- (-2341.008) [-2339.394] (-2329.707) (-2354.762) * (-2343.602) (-2352.033) [-2321.295] (-2323.331) -- 0:13:03
202000 -- (-2347.999) [-2343.346] (-2348.412) (-2347.306) * (-2332.025) (-2333.404) [-2334.353] (-2342.490) -- 0:13:02
203000 -- (-2335.229) [-2337.719] (-2336.453) (-2331.462) * (-2332.672) [-2323.539] (-2337.669) (-2334.267) -- 0:13:01
204000 -- (-2357.742) (-2364.204) (-2339.529) [-2327.804] * (-2333.958) (-2350.015) (-2347.104) [-2325.006] -- 0:13:00
205000 -- (-2340.096) [-2341.969] (-2341.716) (-2345.817) * [-2323.651] (-2344.919) (-2340.334) (-2327.742) -- 0:12:59
Average standard deviation of split frequencies: 0.032541
206000 -- (-2343.104) [-2336.762] (-2343.427) (-2339.219) * [-2326.847] (-2349.635) (-2332.608) (-2335.775) -- 0:12:58
207000 -- [-2340.909] (-2342.899) (-2342.457) (-2347.557) * [-2354.033] (-2341.282) (-2338.120) (-2343.436) -- 0:12:57
208000 -- (-2346.547) (-2356.642) [-2349.702] (-2360.706) * (-2334.701) (-2348.951) (-2358.685) [-2328.105] -- 0:12:56
209000 -- [-2332.035] (-2344.251) (-2345.359) (-2363.243) * (-2334.095) [-2337.316] (-2338.078) (-2352.359) -- 0:12:55
210000 -- (-2346.355) (-2352.982) [-2344.868] (-2353.812) * (-2342.588) (-2361.768) (-2339.861) [-2330.648] -- 0:12:54
Average standard deviation of split frequencies: 0.030253
211000 -- (-2354.690) (-2333.533) [-2354.886] (-2353.918) * (-2351.232) (-2342.107) [-2342.568] (-2350.920) -- 0:12:54
212000 -- (-2357.978) (-2337.443) (-2356.643) [-2346.767] * [-2350.463] (-2334.911) (-2335.706) (-2338.600) -- 0:12:53
213000 -- (-2345.756) (-2326.625) [-2335.211] (-2349.560) * (-2347.576) (-2343.411) (-2358.269) [-2347.617] -- 0:12:52
214000 -- [-2346.986] (-2342.425) (-2342.184) (-2343.407) * (-2338.463) (-2347.542) [-2335.871] (-2336.146) -- 0:12:51
215000 -- (-2345.925) [-2339.576] (-2348.465) (-2357.149) * (-2348.238) [-2346.009] (-2336.295) (-2344.523) -- 0:12:50
Average standard deviation of split frequencies: 0.028241
216000 -- (-2349.973) [-2328.882] (-2341.909) (-2349.376) * (-2346.926) (-2348.039) [-2330.289] (-2335.311) -- 0:12:49
217000 -- [-2334.735] (-2337.525) (-2364.070) (-2338.465) * (-2341.041) [-2340.516] (-2344.985) (-2342.609) -- 0:12:44
218000 -- [-2341.216] (-2320.324) (-2356.486) (-2350.995) * (-2344.892) (-2362.938) [-2338.283] (-2332.117) -- 0:12:44
219000 -- (-2355.804) [-2329.958] (-2352.358) (-2346.267) * (-2350.029) [-2328.123] (-2364.852) (-2330.674) -- 0:12:43
220000 -- (-2345.558) [-2335.021] (-2352.842) (-2347.754) * (-2363.253) [-2339.260] (-2353.056) (-2339.515) -- 0:12:42
Average standard deviation of split frequencies: 0.027344
221000 -- (-2344.137) (-2332.713) [-2344.357] (-2358.642) * (-2352.561) [-2351.662] (-2338.202) (-2343.372) -- 0:12:41
222000 -- [-2337.895] (-2365.402) (-2338.902) (-2338.023) * (-2346.971) (-2344.921) [-2351.033] (-2346.366) -- 0:12:40
223000 -- [-2336.866] (-2332.757) (-2337.733) (-2333.913) * (-2347.605) [-2334.126] (-2338.977) (-2348.767) -- 0:12:39
224000 -- [-2331.620] (-2339.992) (-2354.656) (-2345.860) * (-2344.410) (-2352.471) (-2344.052) [-2343.920] -- 0:12:38
225000 -- [-2340.803] (-2339.753) (-2353.911) (-2342.195) * [-2350.122] (-2321.388) (-2331.964) (-2354.944) -- 0:12:37
Average standard deviation of split frequencies: 0.025541
226000 -- (-2357.975) [-2342.322] (-2342.211) (-2335.058) * (-2339.087) [-2333.440] (-2336.352) (-2362.315) -- 0:12:36
227000 -- (-2343.635) [-2336.492] (-2342.462) (-2335.273) * [-2333.039] (-2335.886) (-2338.709) (-2368.984) -- 0:12:35
228000 -- (-2351.681) [-2328.094] (-2344.097) (-2342.361) * [-2331.244] (-2334.583) (-2341.457) (-2345.243) -- 0:12:35
229000 -- [-2339.417] (-2331.495) (-2341.613) (-2342.339) * [-2334.165] (-2348.299) (-2340.059) (-2333.717) -- 0:12:34
230000 -- (-2336.761) [-2329.049] (-2340.727) (-2345.124) * (-2332.174) [-2325.280] (-2338.673) (-2343.074) -- 0:12:33
Average standard deviation of split frequencies: 0.023940
231000 -- [-2340.396] (-2348.209) (-2334.016) (-2328.256) * (-2322.303) (-2336.160) (-2354.690) [-2339.344] -- 0:12:32
232000 -- (-2338.216) [-2333.777] (-2332.369) (-2334.492) * [-2332.344] (-2352.190) (-2339.570) (-2331.752) -- 0:12:31
233000 -- [-2330.249] (-2338.365) (-2337.302) (-2337.100) * (-2352.737) (-2352.008) [-2348.708] (-2351.694) -- 0:12:30
234000 -- [-2339.068] (-2342.574) (-2333.701) (-2325.287) * (-2344.177) (-2344.282) [-2335.501] (-2355.349) -- 0:12:29
235000 -- [-2328.362] (-2336.516) (-2360.221) (-2327.537) * (-2354.226) [-2333.938] (-2353.064) (-2345.178) -- 0:12:28
Average standard deviation of split frequencies: 0.022139
236000 -- (-2347.577) (-2351.791) (-2355.908) [-2324.251] * (-2341.832) (-2344.239) [-2330.720] (-2343.433) -- 0:12:27
237000 -- (-2350.433) (-2352.602) (-2362.372) [-2329.496] * (-2330.833) (-2344.665) [-2331.181] (-2347.395) -- 0:12:26
238000 -- (-2340.387) (-2351.163) (-2358.357) [-2338.695] * (-2333.871) [-2337.917] (-2348.691) (-2334.348) -- 0:12:25
239000 -- [-2334.817] (-2346.213) (-2340.455) (-2378.482) * (-2343.538) [-2329.190] (-2347.416) (-2345.632) -- 0:12:25
240000 -- [-2337.042] (-2336.083) (-2361.554) (-2346.403) * (-2342.952) [-2332.670] (-2363.179) (-2344.705) -- 0:12:24
Average standard deviation of split frequencies: 0.022648
241000 -- [-2350.900] (-2334.105) (-2341.205) (-2340.693) * (-2327.617) [-2331.962] (-2362.273) (-2333.519) -- 0:12:23
242000 -- [-2352.691] (-2364.538) (-2342.502) (-2348.793) * (-2332.226) [-2330.128] (-2359.865) (-2351.116) -- 0:12:22
243000 -- (-2327.581) (-2365.371) (-2357.599) [-2334.313] * (-2337.352) [-2326.829] (-2347.789) (-2338.451) -- 0:12:21
244000 -- [-2329.278] (-2353.283) (-2336.198) (-2353.160) * (-2347.800) (-2331.168) (-2343.669) [-2338.119] -- 0:12:20
245000 -- (-2348.929) [-2340.438] (-2339.785) (-2340.641) * [-2334.926] (-2339.593) (-2352.229) (-2341.410) -- 0:12:19
Average standard deviation of split frequencies: 0.022096
246000 -- (-2372.562) (-2348.858) (-2347.799) [-2322.450] * (-2335.785) (-2344.266) (-2344.096) [-2343.807] -- 0:12:18
247000 -- (-2360.653) [-2341.134] (-2360.082) (-2341.593) * (-2336.279) (-2376.541) [-2322.278] (-2350.079) -- 0:12:17
248000 -- (-2368.381) (-2331.987) [-2327.146] (-2359.868) * (-2343.486) (-2359.017) [-2326.091] (-2343.533) -- 0:12:16
249000 -- [-2335.433] (-2339.253) (-2340.474) (-2359.123) * (-2358.854) (-2344.669) [-2331.636] (-2334.051) -- 0:12:15
250000 -- [-2330.787] (-2343.655) (-2336.526) (-2372.242) * (-2340.397) (-2340.492) (-2359.801) [-2334.567] -- 0:12:15
Average standard deviation of split frequencies: 0.021823
251000 -- (-2338.921) [-2328.409] (-2342.637) (-2338.491) * (-2347.816) (-2336.757) (-2352.186) [-2335.986] -- 0:12:14
252000 -- [-2324.825] (-2349.652) (-2339.340) (-2351.434) * (-2350.524) (-2356.603) (-2351.490) [-2335.718] -- 0:12:13
253000 -- (-2343.263) (-2373.073) [-2332.177] (-2348.387) * (-2343.864) (-2336.440) (-2342.899) [-2340.158] -- 0:12:12
254000 -- (-2337.433) (-2348.620) [-2341.348] (-2334.876) * (-2351.547) (-2354.816) (-2343.079) [-2330.953] -- 0:12:11
255000 -- [-2348.960] (-2360.188) (-2355.296) (-2326.512) * (-2348.512) (-2354.510) (-2341.739) [-2339.074] -- 0:12:10
Average standard deviation of split frequencies: 0.020754
256000 -- [-2342.303] (-2350.934) (-2332.525) (-2339.305) * (-2346.173) (-2348.313) [-2341.992] (-2337.436) -- 0:12:09
257000 -- (-2347.709) (-2335.996) [-2341.507] (-2342.408) * (-2343.609) (-2351.644) (-2349.455) [-2319.459] -- 0:12:08
258000 -- [-2334.256] (-2360.568) (-2340.164) (-2345.450) * (-2354.718) (-2352.792) (-2331.578) [-2341.335] -- 0:12:07
259000 -- (-2360.446) (-2361.973) [-2336.977] (-2329.480) * (-2339.186) [-2339.048] (-2344.243) (-2337.516) -- 0:12:06
260000 -- (-2351.766) (-2345.648) [-2335.921] (-2347.319) * (-2339.792) [-2337.492] (-2336.290) (-2334.676) -- 0:12:05
Average standard deviation of split frequencies: 0.019856
261000 -- (-2360.684) (-2350.232) [-2330.813] (-2344.816) * (-2341.217) (-2344.181) (-2359.641) [-2333.429] -- 0:12:04
262000 -- (-2360.194) [-2342.629] (-2338.696) (-2346.574) * (-2331.924) [-2333.041] (-2339.325) (-2345.675) -- 0:12:03
263000 -- (-2328.685) (-2347.605) [-2334.046] (-2375.095) * (-2328.923) [-2334.930] (-2345.578) (-2340.815) -- 0:12:02
264000 -- [-2331.297] (-2343.721) (-2351.348) (-2354.679) * [-2341.917] (-2338.077) (-2351.142) (-2354.709) -- 0:12:02
265000 -- (-2338.193) (-2359.375) (-2361.193) [-2340.570] * (-2351.675) (-2354.781) (-2334.095) [-2344.718] -- 0:12:01
Average standard deviation of split frequencies: 0.020109
266000 -- (-2339.445) [-2333.117] (-2355.833) (-2339.510) * (-2345.763) (-2354.399) [-2343.557] (-2356.693) -- 0:12:00
267000 -- (-2341.449) (-2383.926) (-2355.206) [-2338.058] * (-2356.944) (-2346.879) (-2334.752) [-2337.130] -- 0:11:56
268000 -- [-2345.715] (-2367.970) (-2353.981) (-2350.400) * (-2355.067) (-2346.315) [-2329.000] (-2333.520) -- 0:11:58
269000 -- (-2334.534) (-2365.414) (-2342.325) [-2342.056] * (-2343.630) (-2341.759) (-2354.053) [-2331.670] -- 0:11:54
270000 -- (-2335.574) (-2355.775) (-2347.124) [-2326.625] * (-2348.208) (-2362.931) (-2321.796) [-2333.277] -- 0:11:53
Average standard deviation of split frequencies: 0.019702
271000 -- [-2339.313] (-2356.768) (-2346.751) (-2341.694) * (-2335.044) (-2345.656) (-2327.113) [-2333.885] -- 0:11:52
272000 -- [-2330.980] (-2364.747) (-2351.923) (-2336.203) * (-2348.235) (-2336.970) (-2337.363) [-2346.784] -- 0:11:51
273000 -- [-2334.995] (-2358.911) (-2367.935) (-2338.979) * (-2364.919) (-2320.896) (-2338.994) [-2340.874] -- 0:11:51
274000 -- [-2328.477] (-2346.587) (-2354.723) (-2343.447) * (-2344.847) [-2332.033] (-2354.260) (-2348.587) -- 0:11:50
275000 -- [-2329.850] (-2357.250) (-2354.873) (-2366.828) * (-2344.491) [-2340.586] (-2343.354) (-2356.164) -- 0:11:49
Average standard deviation of split frequencies: 0.019322
276000 -- (-2347.044) (-2344.547) (-2345.700) [-2352.846] * (-2340.585) (-2331.209) (-2358.153) [-2343.418] -- 0:11:48
277000 -- (-2354.223) (-2358.847) (-2341.871) [-2350.314] * (-2328.336) [-2351.881] (-2337.224) (-2349.106) -- 0:11:47
278000 -- (-2366.938) [-2332.666] (-2341.309) (-2348.440) * [-2344.454] (-2340.192) (-2345.438) (-2362.175) -- 0:11:46
279000 -- (-2344.684) (-2336.333) [-2345.926] (-2340.439) * [-2338.184] (-2335.212) (-2343.152) (-2356.469) -- 0:11:45
280000 -- [-2330.554] (-2356.092) (-2351.323) (-2340.517) * (-2338.157) (-2340.187) (-2343.473) [-2340.352] -- 0:11:44
Average standard deviation of split frequencies: 0.017511
281000 -- [-2337.502] (-2349.168) (-2359.927) (-2361.268) * (-2359.634) (-2325.077) (-2330.053) [-2338.781] -- 0:11:43
282000 -- (-2348.406) [-2325.975] (-2339.654) (-2346.868) * (-2342.714) (-2340.839) [-2354.916] (-2347.288) -- 0:11:42
283000 -- (-2348.266) (-2353.512) [-2339.701] (-2345.703) * [-2325.988] (-2342.344) (-2339.860) (-2353.066) -- 0:11:41
284000 -- (-2352.622) (-2338.875) [-2333.260] (-2345.883) * (-2353.283) (-2338.048) [-2337.287] (-2358.783) -- 0:11:40
285000 -- [-2329.456] (-2355.619) (-2343.301) (-2348.707) * [-2349.060] (-2339.966) (-2348.791) (-2344.662) -- 0:11:39
Average standard deviation of split frequencies: 0.018201
286000 -- [-2330.094] (-2339.725) (-2339.046) (-2343.270) * (-2348.546) (-2351.888) [-2343.421] (-2349.403) -- 0:11:39
287000 -- (-2325.796) (-2344.493) [-2328.682] (-2354.690) * (-2349.661) (-2346.937) (-2376.154) [-2344.476] -- 0:11:38
288000 -- [-2336.024] (-2348.821) (-2341.056) (-2344.794) * [-2342.644] (-2339.788) (-2374.082) (-2342.857) -- 0:11:37
289000 -- (-2330.779) (-2345.358) (-2343.884) [-2333.704] * (-2338.363) [-2328.641] (-2372.404) (-2331.255) -- 0:11:36
290000 -- [-2332.221] (-2339.430) (-2349.105) (-2343.496) * (-2348.462) (-2335.262) (-2343.276) [-2329.507] -- 0:11:35
Average standard deviation of split frequencies: 0.017909
291000 -- [-2333.340] (-2350.815) (-2358.544) (-2354.717) * (-2357.628) (-2343.647) [-2348.676] (-2336.163) -- 0:11:34
292000 -- [-2335.654] (-2351.421) (-2355.838) (-2348.443) * (-2352.068) [-2338.170] (-2345.591) (-2361.270) -- 0:11:33
293000 -- (-2329.715) (-2359.451) [-2330.691] (-2354.165) * (-2351.739) (-2333.126) (-2334.260) [-2355.697] -- 0:11:32
294000 -- (-2341.371) (-2356.936) (-2373.347) [-2336.579] * (-2358.252) (-2338.524) (-2354.274) [-2349.117] -- 0:11:31
295000 -- (-2355.828) (-2345.981) [-2329.211] (-2330.097) * (-2351.748) (-2339.813) [-2340.669] (-2362.836) -- 0:11:30
Average standard deviation of split frequencies: 0.018230
296000 -- (-2360.428) (-2337.412) [-2331.544] (-2341.558) * (-2355.750) (-2335.333) (-2340.522) [-2338.991] -- 0:11:29
297000 -- [-2341.388] (-2359.409) (-2344.726) (-2338.785) * (-2364.931) (-2328.244) [-2333.626] (-2348.516) -- 0:11:28
298000 -- [-2336.568] (-2357.513) (-2343.737) (-2344.247) * (-2339.559) (-2358.106) [-2331.511] (-2358.094) -- 0:11:27
299000 -- (-2338.243) (-2338.088) [-2339.237] (-2348.990) * (-2338.802) (-2342.805) [-2329.796] (-2344.437) -- 0:11:26
300000 -- (-2342.518) (-2338.101) [-2336.490] (-2335.957) * (-2343.524) (-2347.638) (-2352.870) [-2332.529] -- 0:11:26
Average standard deviation of split frequencies: 0.018281
301000 -- (-2342.973) [-2337.982] (-2338.356) (-2340.477) * (-2342.560) (-2340.654) (-2331.237) [-2340.771] -- 0:11:25
302000 -- (-2349.363) (-2343.058) (-2344.223) [-2348.803] * (-2326.421) (-2345.209) (-2333.497) [-2328.150] -- 0:11:24
303000 -- (-2361.739) (-2333.032) (-2334.192) [-2329.366] * (-2345.523) (-2341.321) (-2342.642) [-2340.098] -- 0:11:23
304000 -- (-2353.181) (-2352.915) [-2334.695] (-2338.613) * (-2342.092) (-2347.494) [-2335.882] (-2343.429) -- 0:11:22
305000 -- (-2343.502) [-2321.186] (-2322.026) (-2344.768) * (-2330.881) (-2340.433) (-2360.936) [-2338.873] -- 0:11:21
Average standard deviation of split frequencies: 0.017208
306000 -- (-2358.573) (-2338.122) [-2333.684] (-2331.157) * [-2324.176] (-2337.988) (-2358.505) (-2327.936) -- 0:11:20
307000 -- (-2351.566) (-2354.214) (-2340.931) [-2332.618] * (-2350.022) (-2347.182) (-2358.103) [-2324.306] -- 0:11:19
308000 -- (-2366.576) (-2358.615) (-2332.432) [-2339.640] * (-2351.125) (-2342.464) (-2335.355) [-2330.716] -- 0:11:18
309000 -- (-2358.911) (-2355.447) [-2336.590] (-2341.753) * [-2341.140] (-2338.192) (-2332.674) (-2351.711) -- 0:11:17
310000 -- [-2342.347] (-2348.384) (-2354.415) (-2362.487) * (-2346.404) (-2351.329) (-2336.732) [-2340.406] -- 0:11:16
Average standard deviation of split frequencies: 0.017402
311000 -- (-2348.409) (-2339.477) (-2356.622) [-2340.953] * (-2351.568) [-2320.814] (-2331.924) (-2360.930) -- 0:11:15
312000 -- (-2338.642) [-2346.287] (-2346.991) (-2358.729) * (-2351.545) (-2327.453) [-2336.621] (-2333.342) -- 0:11:14
313000 -- [-2327.920] (-2337.632) (-2343.161) (-2353.153) * (-2342.259) (-2331.143) (-2331.604) [-2334.298] -- 0:11:11
314000 -- [-2329.889] (-2347.286) (-2341.666) (-2362.899) * (-2341.171) [-2346.700] (-2340.950) (-2341.054) -- 0:11:10
315000 -- [-2339.670] (-2326.627) (-2335.038) (-2349.359) * (-2349.081) [-2345.295] (-2349.793) (-2343.168) -- 0:11:09
Average standard deviation of split frequencies: 0.018155
316000 -- (-2344.696) (-2348.071) [-2334.457] (-2351.534) * (-2360.867) [-2334.576] (-2327.502) (-2342.315) -- 0:11:08
317000 -- (-2344.655) [-2336.842] (-2351.195) (-2351.330) * (-2349.354) [-2325.793] (-2336.949) (-2337.127) -- 0:11:07
318000 -- (-2352.950) (-2338.951) [-2333.424] (-2352.885) * (-2353.114) (-2349.424) [-2339.038] (-2338.530) -- 0:11:06
319000 -- (-2355.518) (-2348.101) (-2365.211) [-2337.784] * (-2361.091) (-2337.201) (-2333.409) [-2346.016] -- 0:11:06
320000 -- (-2352.594) (-2340.944) (-2388.146) [-2335.291] * [-2334.617] (-2343.930) (-2345.609) (-2339.825) -- 0:11:05
Average standard deviation of split frequencies: 0.017797
321000 -- (-2352.726) [-2327.515] (-2346.724) (-2334.259) * [-2337.202] (-2346.667) (-2338.187) (-2346.921) -- 0:11:04
322000 -- [-2333.714] (-2335.291) (-2352.791) (-2348.481) * (-2353.183) (-2335.278) [-2334.555] (-2330.453) -- 0:11:03
323000 -- (-2347.068) (-2366.290) (-2342.913) [-2343.498] * (-2343.713) [-2328.384] (-2336.446) (-2337.760) -- 0:11:02
324000 -- (-2338.721) (-2350.594) (-2343.633) [-2345.414] * (-2343.891) [-2342.245] (-2349.255) (-2338.865) -- 0:11:01
325000 -- (-2371.169) (-2351.666) [-2335.916] (-2339.670) * (-2339.829) (-2359.148) [-2336.288] (-2344.123) -- 0:11:00
Average standard deviation of split frequencies: 0.017168
326000 -- (-2343.659) (-2359.388) (-2335.535) [-2344.963] * (-2348.731) (-2351.841) [-2328.319] (-2327.095) -- 0:10:59
327000 -- (-2353.708) (-2373.438) (-2327.476) [-2359.056] * (-2339.318) (-2346.391) [-2336.150] (-2339.925) -- 0:10:58
328000 -- (-2352.674) [-2337.400] (-2335.414) (-2332.922) * (-2345.431) (-2340.719) (-2359.329) [-2341.064] -- 0:10:57
329000 -- (-2349.383) (-2341.196) [-2332.709] (-2354.820) * [-2332.299] (-2332.412) (-2334.754) (-2329.629) -- 0:10:56
330000 -- (-2344.793) (-2342.148) (-2340.375) [-2330.023] * (-2348.759) (-2366.841) (-2344.122) [-2321.158] -- 0:10:55
Average standard deviation of split frequencies: 0.017047
331000 -- (-2365.028) [-2328.279] (-2335.544) (-2335.987) * (-2362.170) (-2341.810) (-2332.284) [-2336.834] -- 0:10:54
332000 -- (-2366.297) [-2331.712] (-2332.832) (-2350.415) * (-2339.043) (-2340.158) (-2352.081) [-2323.768] -- 0:10:53
333000 -- [-2341.941] (-2332.196) (-2335.417) (-2363.433) * (-2337.183) (-2362.230) (-2353.139) [-2326.532] -- 0:10:52
334000 -- (-2350.591) [-2324.649] (-2344.585) (-2332.361) * [-2335.023] (-2347.236) (-2332.292) (-2335.721) -- 0:10:52
335000 -- (-2338.312) (-2355.881) [-2330.798] (-2342.220) * (-2338.559) [-2333.983] (-2342.573) (-2342.193) -- 0:10:51
Average standard deviation of split frequencies: 0.016239
336000 -- (-2341.992) (-2334.003) [-2327.688] (-2347.587) * (-2335.468) (-2336.017) [-2335.500] (-2350.226) -- 0:10:50
337000 -- (-2342.827) [-2341.191] (-2346.463) (-2349.354) * (-2366.016) (-2360.576) (-2347.218) [-2338.762] -- 0:10:49
338000 -- (-2331.693) (-2351.147) [-2318.877] (-2340.313) * (-2349.469) (-2354.670) [-2331.626] (-2351.138) -- 0:10:48
339000 -- [-2325.972] (-2344.109) (-2343.082) (-2353.418) * (-2367.363) [-2345.123] (-2341.992) (-2338.886) -- 0:10:47
340000 -- (-2341.033) [-2332.542] (-2352.045) (-2350.905) * (-2349.192) [-2336.087] (-2339.644) (-2343.817) -- 0:10:46
Average standard deviation of split frequencies: 0.016695
341000 -- (-2343.982) (-2349.186) [-2330.952] (-2348.526) * (-2343.067) [-2339.395] (-2352.463) (-2347.220) -- 0:10:45
342000 -- (-2333.787) [-2352.448] (-2357.636) (-2347.552) * (-2338.790) (-2355.979) (-2368.588) [-2347.188] -- 0:10:44
343000 -- (-2354.806) (-2327.993) (-2340.785) [-2329.752] * (-2341.510) (-2350.570) (-2359.090) [-2332.946] -- 0:10:43
344000 -- (-2344.952) (-2344.117) [-2341.497] (-2369.237) * (-2356.128) [-2342.697] (-2360.712) (-2321.061) -- 0:10:42
345000 -- [-2332.221] (-2358.469) (-2336.902) (-2342.786) * [-2354.542] (-2343.957) (-2358.822) (-2350.912) -- 0:10:41
Average standard deviation of split frequencies: 0.015943
346000 -- (-2347.934) (-2339.057) [-2324.928] (-2329.402) * (-2366.297) [-2332.109] (-2346.173) (-2349.822) -- 0:10:40
347000 -- (-2353.434) (-2358.145) (-2335.179) [-2332.614] * (-2358.851) (-2345.253) [-2338.323] (-2341.219) -- 0:10:39
348000 -- (-2334.764) (-2358.292) (-2357.455) [-2335.369] * (-2360.874) (-2341.636) (-2336.078) [-2336.223] -- 0:10:38
349000 -- [-2341.291] (-2334.272) (-2356.377) (-2363.226) * (-2352.343) (-2346.507) (-2346.471) [-2340.296] -- 0:10:37
350000 -- (-2351.509) [-2337.163] (-2330.425) (-2360.797) * [-2332.565] (-2341.002) (-2350.526) (-2361.704) -- 0:10:37
Average standard deviation of split frequencies: 0.014702
351000 -- [-2347.740] (-2343.438) (-2332.696) (-2356.188) * (-2345.176) [-2345.911] (-2341.968) (-2352.994) -- 0:10:36
352000 -- (-2345.319) [-2329.948] (-2337.854) (-2359.787) * [-2335.427] (-2341.796) (-2336.749) (-2353.175) -- 0:10:35
353000 -- (-2342.697) [-2336.853] (-2339.302) (-2347.052) * (-2356.776) (-2336.800) [-2346.811] (-2341.916) -- 0:10:34
354000 -- (-2330.036) (-2337.660) [-2340.475] (-2343.944) * (-2368.710) [-2329.770] (-2332.334) (-2341.175) -- 0:10:33
355000 -- (-2367.164) (-2353.133) [-2350.565] (-2337.560) * (-2356.458) (-2341.464) (-2334.390) [-2327.760] -- 0:10:32
Average standard deviation of split frequencies: 0.014171
356000 -- [-2331.308] (-2347.248) (-2344.811) (-2340.033) * (-2352.406) (-2344.706) [-2336.024] (-2344.073) -- 0:10:31
357000 -- (-2324.238) (-2328.956) [-2345.728] (-2352.792) * (-2333.126) (-2350.012) (-2347.627) [-2331.910] -- 0:10:30
358000 -- [-2331.603] (-2352.575) (-2354.110) (-2349.943) * (-2346.729) [-2329.179] (-2347.914) (-2333.593) -- 0:10:29
359000 -- (-2341.743) (-2342.017) (-2342.401) [-2340.679] * [-2337.178] (-2340.773) (-2337.371) (-2347.521) -- 0:10:28
360000 -- (-2346.582) [-2330.171] (-2353.220) (-2344.186) * (-2348.187) (-2349.767) [-2323.023] (-2348.244) -- 0:10:27
Average standard deviation of split frequencies: 0.014044
361000 -- [-2340.399] (-2348.868) (-2359.818) (-2351.556) * [-2340.119] (-2363.423) (-2326.740) (-2346.326) -- 0:10:26
362000 -- (-2362.019) (-2339.995) [-2350.070] (-2353.122) * [-2338.429] (-2355.416) (-2317.666) (-2348.610) -- 0:10:25
363000 -- (-2353.358) (-2334.289) [-2343.825] (-2349.079) * [-2332.161] (-2358.030) (-2337.567) (-2353.257) -- 0:10:24
364000 -- [-2344.502] (-2351.111) (-2340.821) (-2375.658) * (-2343.796) (-2357.577) (-2324.134) [-2339.026] -- 0:10:23
365000 -- [-2334.507] (-2360.126) (-2347.627) (-2343.990) * (-2325.630) (-2353.445) (-2330.713) [-2340.672] -- 0:10:22
Average standard deviation of split frequencies: 0.013949
366000 -- (-2350.625) (-2359.906) [-2341.148] (-2334.639) * (-2339.998) (-2355.531) [-2332.693] (-2346.755) -- 0:10:21
367000 -- [-2327.866] (-2345.729) (-2360.303) (-2340.885) * (-2339.897) (-2342.155) [-2336.286] (-2357.921) -- 0:10:20
368000 -- (-2350.220) (-2340.831) [-2342.372] (-2339.081) * [-2333.503] (-2358.422) (-2333.354) (-2350.771) -- 0:10:19
369000 -- (-2341.098) (-2354.078) [-2327.767] (-2347.347) * [-2342.366] (-2365.111) (-2347.237) (-2337.063) -- 0:10:19
370000 -- [-2332.177] (-2336.774) (-2339.410) (-2351.166) * [-2352.663] (-2355.239) (-2344.280) (-2338.592) -- 0:10:18
Average standard deviation of split frequencies: 0.013557
371000 -- (-2341.308) (-2346.076) [-2332.467] (-2342.025) * [-2339.049] (-2360.486) (-2353.915) (-2351.489) -- 0:10:17
372000 -- (-2330.952) (-2333.950) (-2341.067) [-2329.162] * [-2320.217] (-2363.527) (-2353.675) (-2356.819) -- 0:10:16
373000 -- (-2332.671) [-2342.435] (-2354.881) (-2345.276) * [-2326.574] (-2347.245) (-2351.079) (-2371.619) -- 0:10:13
374000 -- (-2328.868) (-2343.902) (-2337.515) [-2331.351] * (-2336.093) (-2351.738) [-2345.537] (-2357.102) -- 0:10:12
375000 -- (-2345.828) (-2376.037) (-2335.650) [-2317.832] * (-2341.238) (-2338.949) [-2339.526] (-2368.306) -- 0:10:11
Average standard deviation of split frequencies: 0.013098
376000 -- (-2346.972) [-2333.599] (-2353.933) (-2334.694) * (-2327.289) (-2339.259) [-2337.886] (-2353.001) -- 0:10:10
377000 -- (-2378.108) [-2347.848] (-2349.185) (-2348.555) * (-2359.252) [-2344.283] (-2351.975) (-2337.997) -- 0:10:09
378000 -- (-2347.945) (-2341.618) [-2354.841] (-2345.054) * (-2343.609) (-2349.340) (-2341.227) [-2335.407] -- 0:10:08
379000 -- (-2337.230) (-2346.411) (-2327.121) [-2335.224] * (-2342.084) (-2338.146) [-2343.963] (-2347.992) -- 0:10:07
380000 -- [-2331.450] (-2353.142) (-2336.067) (-2349.674) * (-2347.702) (-2350.617) [-2343.673] (-2338.728) -- 0:10:06
Average standard deviation of split frequencies: 0.013069
381000 -- (-2348.470) (-2358.343) [-2333.982] (-2345.667) * (-2349.176) (-2354.351) [-2345.530] (-2329.873) -- 0:10:06
382000 -- (-2350.953) (-2339.155) (-2337.779) [-2350.449] * (-2350.161) (-2366.270) (-2337.055) [-2343.947] -- 0:10:05
383000 -- [-2335.101] (-2353.716) (-2340.066) (-2352.484) * (-2353.398) (-2356.617) (-2355.839) [-2354.814] -- 0:10:04
384000 -- [-2336.677] (-2363.407) (-2338.900) (-2347.150) * (-2341.982) (-2344.234) (-2365.968) [-2341.142] -- 0:10:03
385000 -- (-2346.644) [-2320.214] (-2342.274) (-2346.201) * [-2326.311] (-2353.916) (-2351.686) (-2345.612) -- 0:10:02
Average standard deviation of split frequencies: 0.012888
386000 -- (-2346.484) (-2337.205) [-2326.511] (-2353.666) * [-2344.132] (-2347.505) (-2344.089) (-2360.779) -- 0:10:01
387000 -- (-2346.043) (-2338.529) (-2339.911) [-2342.315] * (-2339.595) (-2353.308) [-2334.516] (-2354.373) -- 0:10:00
388000 -- (-2379.150) [-2327.384] (-2337.583) (-2356.828) * (-2342.625) [-2345.982] (-2340.291) (-2348.588) -- 0:09:59
389000 -- (-2331.354) [-2328.172] (-2337.188) (-2363.409) * (-2360.874) [-2338.750] (-2334.402) (-2356.577) -- 0:09:58
390000 -- [-2326.773] (-2343.148) (-2332.468) (-2343.312) * [-2343.199] (-2339.547) (-2324.031) (-2360.272) -- 0:09:57
Average standard deviation of split frequencies: 0.011715
391000 -- [-2326.465] (-2337.619) (-2339.369) (-2347.904) * [-2346.439] (-2327.924) (-2343.884) (-2349.111) -- 0:09:56
392000 -- [-2333.384] (-2334.580) (-2332.490) (-2340.079) * (-2352.276) [-2334.371] (-2341.391) (-2358.294) -- 0:09:55
393000 -- (-2336.767) (-2339.204) [-2316.050] (-2348.319) * [-2336.349] (-2353.502) (-2340.619) (-2372.808) -- 0:09:54
394000 -- (-2337.867) (-2355.155) [-2328.665] (-2360.188) * [-2340.897] (-2346.312) (-2345.566) (-2354.547) -- 0:09:53
395000 -- (-2350.272) (-2351.135) [-2333.125] (-2336.426) * [-2342.329] (-2364.972) (-2337.375) (-2361.851) -- 0:09:52
Average standard deviation of split frequencies: 0.011979
396000 -- (-2339.030) (-2360.333) (-2336.618) [-2329.311] * [-2334.151] (-2375.376) (-2349.533) (-2346.031) -- 0:09:51
397000 -- [-2324.982] (-2353.817) (-2349.227) (-2338.685) * [-2341.038] (-2357.111) (-2350.115) (-2334.723) -- 0:09:50
398000 -- (-2350.773) (-2362.026) [-2353.624] (-2330.691) * (-2346.326) (-2355.183) [-2332.413] (-2356.702) -- 0:09:49
399000 -- (-2378.151) (-2334.995) (-2348.993) [-2330.932] * [-2336.757] (-2359.265) (-2325.565) (-2348.114) -- 0:09:48
400000 -- (-2352.088) (-2349.272) (-2345.812) [-2332.243] * (-2337.752) (-2358.515) [-2343.603] (-2338.051) -- 0:09:48
Average standard deviation of split frequencies: 0.012648
401000 -- (-2349.620) (-2353.335) [-2329.605] (-2342.012) * (-2354.895) (-2332.727) (-2333.233) [-2321.532] -- 0:09:47
402000 -- (-2345.348) (-2363.252) (-2338.826) [-2332.018] * (-2334.140) [-2323.029] (-2346.696) (-2353.066) -- 0:09:46
403000 -- (-2339.846) (-2341.590) (-2360.328) [-2335.437] * [-2335.105] (-2337.682) (-2336.560) (-2341.612) -- 0:09:45
404000 -- [-2332.232] (-2343.907) (-2355.366) (-2339.631) * (-2339.676) [-2350.604] (-2337.612) (-2342.805) -- 0:09:44
405000 -- [-2328.442] (-2361.309) (-2361.452) (-2343.092) * (-2343.390) (-2348.129) (-2353.481) [-2336.390] -- 0:09:43
Average standard deviation of split frequencies: 0.012458
406000 -- (-2332.992) (-2348.859) [-2359.669] (-2345.758) * (-2344.062) (-2355.871) (-2351.916) [-2318.724] -- 0:09:42
407000 -- (-2357.382) (-2341.246) (-2352.010) [-2333.888] * (-2348.447) (-2354.244) (-2335.438) [-2328.984] -- 0:09:41
408000 -- (-2346.250) (-2342.743) (-2351.251) [-2324.363] * [-2344.881] (-2357.271) (-2322.945) (-2346.807) -- 0:09:40
409000 -- (-2339.154) (-2351.449) (-2342.874) [-2335.190] * (-2354.484) (-2357.707) [-2323.160] (-2358.617) -- 0:09:39
410000 -- (-2346.657) [-2341.309] (-2351.478) (-2343.130) * (-2362.902) (-2343.326) [-2339.602] (-2352.026) -- 0:09:38
Average standard deviation of split frequencies: 0.012436
411000 -- (-2357.245) (-2344.230) [-2335.976] (-2344.281) * (-2357.989) (-2351.811) [-2343.557] (-2354.428) -- 0:09:37
412000 -- (-2356.491) (-2348.666) [-2332.705] (-2334.326) * (-2342.443) (-2354.349) [-2323.496] (-2365.720) -- 0:09:36
413000 -- [-2336.547] (-2360.429) (-2339.608) (-2333.501) * (-2354.598) (-2345.250) [-2336.396] (-2371.957) -- 0:09:35
414000 -- [-2346.058] (-2349.303) (-2348.870) (-2330.944) * (-2344.460) (-2344.875) [-2336.744] (-2357.363) -- 0:09:34
415000 -- (-2359.854) (-2356.748) [-2332.593] (-2341.691) * (-2357.728) (-2337.334) (-2346.588) [-2338.875] -- 0:09:33
Average standard deviation of split frequencies: 0.012677
416000 -- (-2349.642) (-2360.284) [-2335.875] (-2365.966) * (-2354.009) (-2341.064) (-2346.199) [-2340.016] -- 0:09:32
417000 -- [-2341.488] (-2347.794) (-2345.300) (-2360.177) * (-2360.671) [-2327.141] (-2339.216) (-2340.710) -- 0:09:31
418000 -- (-2336.223) (-2357.336) (-2350.187) [-2339.837] * (-2341.197) [-2340.312] (-2350.406) (-2324.113) -- 0:09:30
419000 -- (-2338.593) (-2344.939) [-2340.463] (-2359.685) * (-2341.095) (-2338.693) (-2365.561) [-2324.479] -- 0:09:29
420000 -- [-2326.785] (-2340.139) (-2334.260) (-2341.451) * [-2322.313] (-2342.924) (-2373.918) (-2327.438) -- 0:09:28
Average standard deviation of split frequencies: 0.012661
421000 -- (-2339.144) [-2330.591] (-2341.150) (-2351.646) * [-2329.412] (-2347.237) (-2355.389) (-2355.957) -- 0:09:27
422000 -- (-2336.392) (-2350.566) [-2330.785] (-2330.612) * (-2353.191) [-2325.210] (-2353.478) (-2364.351) -- 0:09:27
423000 -- (-2337.707) (-2334.415) (-2344.956) [-2335.700] * (-2356.757) (-2339.435) (-2352.901) [-2343.855] -- 0:09:26
424000 -- (-2334.208) (-2345.601) (-2348.743) [-2345.542] * (-2337.826) (-2351.760) (-2383.007) [-2329.544] -- 0:09:25
425000 -- [-2335.777] (-2338.075) (-2351.186) (-2354.494) * (-2340.130) (-2357.231) (-2322.845) [-2336.803] -- 0:09:24
Average standard deviation of split frequencies: 0.012549
426000 -- (-2356.305) (-2354.741) (-2350.774) [-2337.434] * [-2327.785] (-2349.317) (-2345.521) (-2335.643) -- 0:09:23
427000 -- (-2375.808) (-2353.919) [-2324.128] (-2341.293) * [-2346.827] (-2343.693) (-2351.093) (-2339.030) -- 0:09:22
428000 -- [-2344.231] (-2341.414) (-2343.859) (-2353.423) * (-2330.683) (-2336.547) [-2332.739] (-2345.028) -- 0:09:19
429000 -- (-2351.544) (-2348.860) [-2333.207] (-2336.162) * (-2341.330) (-2343.975) [-2331.764] (-2339.784) -- 0:09:19
430000 -- [-2350.157] (-2361.934) (-2347.920) (-2326.565) * (-2339.133) (-2343.747) (-2339.371) [-2328.870] -- 0:09:18
Average standard deviation of split frequencies: 0.012087
431000 -- (-2363.781) (-2356.337) (-2335.787) [-2345.185] * (-2339.346) (-2327.598) [-2346.589] (-2331.506) -- 0:09:17
432000 -- (-2345.090) (-2352.545) [-2333.175] (-2342.495) * [-2339.451] (-2348.909) (-2342.640) (-2337.862) -- 0:09:16
433000 -- [-2341.977] (-2347.642) (-2336.148) (-2330.252) * (-2337.198) [-2342.382] (-2367.746) (-2334.117) -- 0:09:15
434000 -- (-2345.427) (-2360.658) [-2339.860] (-2338.389) * [-2335.624] (-2356.604) (-2343.034) (-2337.353) -- 0:09:14
435000 -- [-2347.152] (-2345.617) (-2334.284) (-2358.806) * (-2344.905) [-2343.945] (-2343.366) (-2353.098) -- 0:09:13
Average standard deviation of split frequencies: 0.012238
436000 -- (-2342.095) (-2346.852) (-2353.639) [-2335.066] * (-2340.141) [-2323.786] (-2345.178) (-2335.761) -- 0:09:12
437000 -- (-2342.147) (-2359.943) [-2343.686] (-2336.902) * (-2338.111) [-2328.290] (-2342.186) (-2336.294) -- 0:09:11
438000 -- (-2335.889) [-2338.693] (-2347.120) (-2368.604) * (-2349.692) (-2359.783) (-2339.082) [-2334.362] -- 0:09:10
439000 -- (-2332.476) (-2336.274) [-2341.806] (-2371.136) * [-2331.485] (-2348.404) (-2342.683) (-2330.154) -- 0:09:09
440000 -- [-2335.856] (-2343.901) (-2336.972) (-2346.933) * (-2346.696) (-2335.000) [-2342.792] (-2334.145) -- 0:09:08
Average standard deviation of split frequencies: 0.012086
441000 -- (-2346.842) [-2335.714] (-2342.559) (-2326.841) * (-2365.885) (-2337.649) [-2345.782] (-2350.581) -- 0:09:07
442000 -- (-2365.246) (-2350.998) (-2332.741) [-2327.248] * (-2355.420) (-2334.218) [-2336.772] (-2349.674) -- 0:09:06
443000 -- (-2356.795) [-2340.175] (-2338.948) (-2348.430) * (-2362.869) (-2335.961) (-2344.304) [-2339.092] -- 0:09:05
444000 -- (-2349.349) [-2345.641] (-2335.644) (-2349.212) * (-2359.327) (-2336.602) [-2334.208] (-2344.441) -- 0:09:04
445000 -- (-2336.492) (-2346.255) [-2331.778] (-2339.000) * (-2350.604) (-2323.987) [-2332.251] (-2334.581) -- 0:09:03
Average standard deviation of split frequencies: 0.011694
446000 -- (-2353.970) (-2340.789) (-2357.109) [-2342.737] * (-2357.010) (-2370.644) (-2339.629) [-2333.039] -- 0:09:02
447000 -- (-2331.316) [-2336.229] (-2349.761) (-2335.045) * (-2349.294) (-2346.003) (-2339.919) [-2330.338] -- 0:09:01
448000 -- (-2335.382) [-2328.425] (-2388.354) (-2344.962) * (-2336.844) (-2330.208) (-2344.197) [-2348.152] -- 0:09:00
449000 -- (-2338.499) [-2336.761] (-2352.449) (-2341.665) * (-2333.765) [-2337.261] (-2350.092) (-2350.639) -- 0:08:59
450000 -- (-2361.699) [-2333.726] (-2339.113) (-2349.333) * (-2339.215) [-2333.808] (-2357.226) (-2331.892) -- 0:08:59
Average standard deviation of split frequencies: 0.012040
451000 -- (-2342.953) (-2333.101) (-2358.102) [-2342.098] * [-2334.844] (-2333.642) (-2355.340) (-2345.858) -- 0:08:58
452000 -- (-2319.972) [-2334.384] (-2368.291) (-2345.704) * (-2338.300) (-2360.125) [-2341.786] (-2350.368) -- 0:08:57
453000 -- (-2349.869) [-2333.293] (-2350.849) (-2370.107) * (-2339.784) (-2333.325) [-2343.935] (-2333.920) -- 0:08:56
454000 -- (-2349.103) (-2347.081) (-2341.802) [-2343.146] * [-2325.769] (-2367.213) (-2340.922) (-2340.512) -- 0:08:55
455000 -- [-2335.653] (-2330.147) (-2353.970) (-2358.375) * (-2350.190) (-2354.318) (-2346.655) [-2344.554] -- 0:08:54
Average standard deviation of split frequencies: 0.012295
456000 -- (-2340.418) (-2349.233) [-2325.651] (-2347.404) * [-2333.432] (-2332.567) (-2337.098) (-2353.160) -- 0:08:53
457000 -- [-2327.641] (-2334.321) (-2337.644) (-2360.477) * (-2342.061) [-2340.015] (-2341.934) (-2342.691) -- 0:08:52
458000 -- (-2344.540) (-2340.199) (-2354.818) [-2339.453] * (-2337.134) [-2344.656] (-2350.057) (-2345.864) -- 0:08:51
459000 -- (-2345.744) (-2324.635) (-2341.701) [-2330.169] * [-2340.775] (-2369.305) (-2348.762) (-2370.153) -- 0:08:50
460000 -- (-2333.693) (-2342.140) [-2337.242] (-2342.451) * (-2336.927) (-2360.039) [-2336.553] (-2358.565) -- 0:08:49
Average standard deviation of split frequencies: 0.012519
461000 -- (-2356.511) [-2328.018] (-2337.279) (-2348.198) * (-2349.461) [-2334.716] (-2341.342) (-2376.939) -- 0:08:48
462000 -- (-2352.069) [-2350.234] (-2334.574) (-2353.885) * (-2342.485) (-2340.349) [-2346.322] (-2350.512) -- 0:08:47
463000 -- (-2343.681) (-2356.864) (-2343.697) [-2333.031] * [-2358.746] (-2329.615) (-2357.323) (-2343.708) -- 0:08:46
464000 -- (-2348.188) (-2349.216) [-2331.406] (-2344.118) * (-2351.429) [-2338.340] (-2362.639) (-2346.898) -- 0:08:45
465000 -- (-2335.862) [-2324.061] (-2325.929) (-2336.298) * (-2336.794) (-2369.664) [-2338.052] (-2335.575) -- 0:08:44
Average standard deviation of split frequencies: 0.012381
466000 -- (-2363.346) (-2337.191) (-2344.308) [-2333.949] * (-2343.585) (-2344.598) (-2349.352) [-2347.063] -- 0:08:43
467000 -- (-2343.856) (-2347.004) [-2330.332] (-2336.171) * (-2343.495) [-2352.571] (-2326.516) (-2351.223) -- 0:08:42
468000 -- [-2344.053] (-2364.983) (-2328.525) (-2342.580) * (-2352.055) (-2335.342) [-2343.274] (-2345.253) -- 0:08:41
469000 -- (-2346.330) (-2340.962) [-2335.488] (-2340.789) * (-2346.678) (-2336.955) (-2337.258) [-2327.073] -- 0:08:40
470000 -- (-2336.732) [-2336.968] (-2346.852) (-2342.394) * (-2341.018) (-2351.885) (-2335.264) [-2341.323] -- 0:08:39
Average standard deviation of split frequencies: 0.012912
471000 -- [-2331.435] (-2344.879) (-2354.024) (-2353.866) * (-2349.728) [-2331.316] (-2343.464) (-2327.387) -- 0:08:38
472000 -- (-2341.194) [-2329.900] (-2345.428) (-2356.709) * (-2356.421) (-2336.206) [-2341.505] (-2348.019) -- 0:08:37
473000 -- (-2329.190) [-2341.729] (-2340.223) (-2366.761) * (-2353.648) (-2328.092) (-2354.089) [-2329.202] -- 0:08:36
474000 -- [-2327.797] (-2354.743) (-2351.695) (-2342.852) * (-2359.022) (-2339.079) (-2345.761) [-2330.066] -- 0:08:36
475000 -- [-2333.984] (-2339.064) (-2346.416) (-2356.856) * (-2365.335) (-2335.136) (-2359.645) [-2329.326] -- 0:08:35
Average standard deviation of split frequencies: 0.012788
476000 -- [-2331.548] (-2348.243) (-2355.895) (-2348.705) * (-2347.905) (-2327.350) (-2348.722) [-2322.707] -- 0:08:32
477000 -- (-2348.972) [-2337.724] (-2340.860) (-2347.196) * (-2342.509) (-2322.444) (-2342.559) [-2344.627] -- 0:08:32
478000 -- (-2344.321) (-2358.316) [-2328.173] (-2346.446) * (-2337.862) [-2334.531] (-2339.911) (-2353.268) -- 0:08:31
479000 -- (-2352.830) (-2344.343) [-2327.469] (-2344.135) * (-2345.360) (-2346.960) (-2360.335) [-2336.932] -- 0:08:30
480000 -- (-2345.210) (-2331.941) [-2337.041] (-2347.722) * (-2345.050) (-2338.500) (-2351.606) [-2330.908] -- 0:08:29
Average standard deviation of split frequencies: 0.013325
481000 -- [-2348.873] (-2361.553) (-2350.678) (-2341.136) * [-2335.736] (-2331.343) (-2333.668) (-2346.776) -- 0:08:28
482000 -- [-2344.732] (-2343.736) (-2357.173) (-2329.119) * [-2323.205] (-2347.191) (-2353.260) (-2341.420) -- 0:08:27
483000 -- (-2347.697) [-2356.015] (-2342.015) (-2340.204) * (-2346.569) (-2338.097) [-2320.721] (-2355.374) -- 0:08:26
484000 -- (-2332.118) (-2354.535) (-2336.004) [-2340.825] * (-2352.529) (-2337.198) (-2337.116) [-2347.503] -- 0:08:25
485000 -- (-2335.804) (-2361.160) (-2355.950) [-2341.482] * (-2335.785) [-2333.565] (-2318.774) (-2349.176) -- 0:08:24
Average standard deviation of split frequencies: 0.012905
486000 -- (-2353.520) (-2339.516) [-2350.685] (-2330.966) * [-2333.474] (-2331.198) (-2327.445) (-2340.132) -- 0:08:23
487000 -- [-2331.420] (-2338.728) (-2352.818) (-2342.962) * (-2328.898) (-2341.295) [-2340.481] (-2345.700) -- 0:08:22
488000 -- (-2361.716) (-2354.092) [-2350.495] (-2335.721) * (-2348.269) [-2350.265] (-2349.212) (-2356.063) -- 0:08:21
489000 -- [-2326.579] (-2350.366) (-2355.779) (-2343.163) * [-2334.464] (-2363.859) (-2349.567) (-2333.406) -- 0:08:20
490000 -- (-2332.691) (-2354.443) [-2337.498] (-2324.280) * (-2336.746) (-2356.971) (-2344.932) [-2332.453] -- 0:08:19
Average standard deviation of split frequencies: 0.012552
491000 -- [-2323.532] (-2346.989) (-2335.467) (-2329.464) * [-2340.877] (-2334.255) (-2362.083) (-2333.425) -- 0:08:18
492000 -- (-2340.330) [-2338.461] (-2330.724) (-2337.445) * [-2331.692] (-2337.542) (-2358.756) (-2338.372) -- 0:08:17
493000 -- (-2336.288) [-2336.382] (-2334.874) (-2339.066) * (-2340.136) (-2345.621) (-2336.316) [-2333.853] -- 0:08:16
494000 -- [-2344.145] (-2344.886) (-2338.162) (-2345.102) * (-2336.528) (-2338.699) [-2330.896] (-2333.956) -- 0:08:15
495000 -- [-2342.422] (-2357.383) (-2352.164) (-2343.576) * (-2341.682) [-2337.894] (-2323.589) (-2360.771) -- 0:08:14
Average standard deviation of split frequencies: 0.012645
496000 -- (-2347.656) (-2372.566) (-2340.989) [-2352.541] * (-2340.635) (-2329.325) [-2332.899] (-2343.986) -- 0:08:13
497000 -- [-2330.837] (-2363.415) (-2346.372) (-2332.030) * (-2329.185) [-2322.007] (-2332.732) (-2345.668) -- 0:08:12
498000 -- [-2322.596] (-2348.157) (-2350.863) (-2332.792) * [-2339.190] (-2326.255) (-2365.507) (-2345.979) -- 0:08:11
499000 -- (-2324.737) (-2339.013) (-2332.428) [-2346.295] * [-2329.214] (-2331.163) (-2362.555) (-2350.872) -- 0:08:10
500000 -- (-2337.543) [-2332.671] (-2334.756) (-2358.105) * (-2341.773) (-2361.156) [-2340.233] (-2348.515) -- 0:08:10
Average standard deviation of split frequencies: 0.013079
501000 -- (-2338.173) [-2325.781] (-2328.968) (-2350.332) * [-2344.646] (-2343.476) (-2330.493) (-2357.052) -- 0:08:09
502000 -- [-2325.280] (-2336.945) (-2332.361) (-2342.938) * [-2342.216] (-2352.644) (-2351.916) (-2356.895) -- 0:08:08
503000 -- (-2362.501) (-2349.344) [-2331.231] (-2345.795) * (-2341.735) (-2358.109) (-2346.020) [-2335.796] -- 0:08:07
504000 -- (-2339.701) (-2347.431) [-2341.987] (-2352.646) * (-2321.871) (-2357.891) (-2354.520) [-2336.208] -- 0:08:06
505000 -- (-2351.313) (-2356.459) (-2355.318) [-2342.736] * [-2333.424] (-2350.740) (-2360.733) (-2328.370) -- 0:08:05
Average standard deviation of split frequencies: 0.013569
506000 -- (-2354.129) (-2346.492) (-2347.802) [-2343.516] * (-2346.693) (-2350.295) (-2355.018) [-2332.111] -- 0:08:04
507000 -- (-2337.559) [-2323.148] (-2338.291) (-2340.162) * (-2334.378) (-2347.428) (-2344.637) [-2331.456] -- 0:08:03
508000 -- (-2356.299) (-2319.723) (-2337.059) [-2335.665] * [-2344.436] (-2332.089) (-2365.286) (-2349.958) -- 0:08:02
509000 -- [-2336.356] (-2329.689) (-2351.348) (-2339.278) * (-2349.694) (-2359.558) [-2329.965] (-2342.407) -- 0:08:01
510000 -- (-2354.556) [-2332.171] (-2350.863) (-2349.894) * (-2336.895) [-2324.927] (-2332.435) (-2334.099) -- 0:08:00
Average standard deviation of split frequencies: 0.013084
511000 -- (-2351.574) (-2334.114) [-2337.158] (-2331.196) * [-2355.478] (-2343.172) (-2346.107) (-2342.620) -- 0:07:59
512000 -- (-2361.492) (-2338.238) [-2329.649] (-2340.220) * [-2341.674] (-2356.893) (-2350.871) (-2340.436) -- 0:07:58
513000 -- (-2334.239) (-2342.620) (-2337.396) [-2332.801] * [-2340.251] (-2351.982) (-2348.454) (-2343.732) -- 0:07:57
514000 -- [-2327.995] (-2352.008) (-2345.452) (-2339.373) * (-2347.820) [-2345.076] (-2328.360) (-2364.841) -- 0:07:56
515000 -- (-2338.757) (-2358.962) [-2344.333] (-2347.651) * (-2367.273) (-2341.097) (-2342.401) [-2346.107] -- 0:07:55
Average standard deviation of split frequencies: 0.012750
516000 -- (-2334.652) (-2370.161) [-2345.763] (-2345.938) * [-2347.001] (-2343.841) (-2343.776) (-2359.331) -- 0:07:54
517000 -- (-2344.928) (-2358.830) [-2353.447] (-2347.769) * (-2350.292) (-2339.928) [-2337.393] (-2360.561) -- 0:07:53
518000 -- [-2328.230] (-2342.586) (-2346.228) (-2345.985) * (-2340.030) [-2343.108] (-2334.414) (-2341.583) -- 0:07:52
519000 -- (-2334.301) [-2338.978] (-2351.077) (-2358.045) * [-2327.772] (-2341.242) (-2333.342) (-2342.083) -- 0:07:51
520000 -- [-2333.805] (-2350.243) (-2360.452) (-2339.333) * [-2348.277] (-2340.828) (-2343.895) (-2340.064) -- 0:07:50
Average standard deviation of split frequencies: 0.012380
521000 -- [-2337.269] (-2340.237) (-2351.391) (-2360.979) * [-2338.223] (-2335.312) (-2339.041) (-2358.315) -- 0:07:49
522000 -- (-2328.644) [-2350.143] (-2337.943) (-2362.380) * (-2341.892) (-2343.970) [-2342.680] (-2342.960) -- 0:07:48
523000 -- (-2335.933) (-2339.590) [-2326.982] (-2363.097) * (-2346.854) (-2342.651) [-2340.132] (-2343.547) -- 0:07:47
524000 -- [-2355.095] (-2344.610) (-2351.937) (-2367.318) * [-2336.725] (-2350.880) (-2369.364) (-2336.852) -- 0:07:46
525000 -- (-2346.077) [-2327.584] (-2343.066) (-2356.028) * [-2339.650] (-2352.079) (-2356.600) (-2347.445) -- 0:07:45
Average standard deviation of split frequencies: 0.011943
526000 -- (-2327.968) (-2357.644) [-2329.719] (-2363.844) * (-2385.762) (-2329.559) [-2336.954] (-2349.456) -- 0:07:44
527000 -- (-2343.136) [-2345.609] (-2348.849) (-2353.124) * (-2342.288) (-2354.346) (-2331.598) [-2340.393] -- 0:07:44
528000 -- [-2333.141] (-2346.909) (-2338.991) (-2347.169) * (-2339.641) (-2369.020) [-2335.435] (-2339.094) -- 0:07:43
529000 -- [-2343.228] (-2348.750) (-2348.710) (-2360.572) * (-2345.747) [-2337.566] (-2349.117) (-2351.155) -- 0:07:42
530000 -- (-2331.730) [-2344.118] (-2338.789) (-2351.596) * (-2358.710) (-2335.829) [-2343.803] (-2341.004) -- 0:07:41
Average standard deviation of split frequencies: 0.012089
531000 -- (-2345.270) (-2342.901) (-2339.724) [-2355.149] * (-2345.718) (-2344.981) (-2339.594) [-2324.632] -- 0:07:40
532000 -- (-2339.566) (-2334.898) (-2354.111) [-2360.782] * (-2335.126) (-2351.577) (-2358.820) [-2332.208] -- 0:07:39
533000 -- (-2330.842) (-2333.845) [-2334.479] (-2363.064) * [-2329.000] (-2331.502) (-2354.701) (-2357.818) -- 0:07:38
534000 -- [-2337.238] (-2349.860) (-2346.542) (-2356.514) * (-2349.500) [-2345.980] (-2370.038) (-2352.998) -- 0:07:37
535000 -- (-2344.047) [-2333.498] (-2333.185) (-2351.191) * (-2355.007) [-2328.653] (-2341.699) (-2347.012) -- 0:07:36
Average standard deviation of split frequencies: 0.011223
536000 -- (-2337.615) [-2323.121] (-2338.671) (-2353.325) * (-2341.646) (-2350.241) [-2330.009] (-2340.001) -- 0:07:35
537000 -- (-2328.169) [-2320.877] (-2332.483) (-2334.837) * [-2335.021] (-2333.386) (-2340.141) (-2340.980) -- 0:07:34
538000 -- (-2343.343) [-2328.465] (-2352.963) (-2348.195) * [-2332.758] (-2353.796) (-2332.430) (-2351.909) -- 0:07:33
539000 -- (-2351.309) [-2333.122] (-2335.186) (-2356.191) * (-2344.213) (-2334.055) [-2345.390] (-2350.569) -- 0:07:32
540000 -- (-2355.877) (-2357.153) [-2330.419] (-2362.215) * (-2339.503) (-2348.989) (-2346.699) [-2337.446] -- 0:07:31
Average standard deviation of split frequencies: 0.010918
541000 -- (-2342.288) (-2334.447) (-2338.894) [-2337.563] * (-2364.702) [-2341.544] (-2351.818) (-2351.181) -- 0:07:30
542000 -- (-2339.228) [-2356.457] (-2346.708) (-2345.891) * (-2348.837) (-2358.437) (-2335.048) [-2336.832] -- 0:07:29
543000 -- (-2343.383) (-2357.899) (-2336.105) [-2334.046] * (-2342.025) (-2344.678) [-2329.316] (-2355.864) -- 0:07:28
544000 -- (-2333.762) (-2337.587) (-2331.611) [-2336.280] * (-2354.299) (-2346.199) [-2321.646] (-2343.866) -- 0:07:27
545000 -- (-2353.490) [-2344.986] (-2332.687) (-2340.651) * (-2325.797) (-2342.805) [-2335.133] (-2352.386) -- 0:07:26
Average standard deviation of split frequencies: 0.010867
546000 -- (-2357.088) (-2339.438) [-2341.588] (-2353.430) * (-2346.464) (-2338.948) (-2345.582) [-2332.320] -- 0:07:25
547000 -- [-2336.929] (-2341.933) (-2347.678) (-2338.548) * [-2348.057] (-2352.535) (-2333.852) (-2338.703) -- 0:07:24
548000 -- [-2326.519] (-2360.554) (-2345.695) (-2363.470) * (-2338.022) (-2345.093) (-2358.862) [-2330.990] -- 0:07:23
549000 -- [-2335.033] (-2370.855) (-2340.500) (-2349.967) * [-2338.770] (-2347.072) (-2348.455) (-2342.642) -- 0:07:22
550000 -- (-2342.853) (-2356.422) [-2341.573] (-2345.348) * (-2352.677) (-2344.865) [-2341.452] (-2348.517) -- 0:07:21
Average standard deviation of split frequencies: 0.011036
551000 -- (-2338.892) (-2346.809) [-2335.391] (-2343.602) * (-2336.607) (-2352.719) [-2333.711] (-2367.726) -- 0:07:20
552000 -- (-2339.841) (-2358.272) [-2335.997] (-2343.801) * [-2339.490] (-2369.667) (-2333.452) (-2350.514) -- 0:07:19
553000 -- [-2348.682] (-2360.287) (-2332.092) (-2334.496) * (-2355.834) [-2334.332] (-2342.923) (-2339.893) -- 0:07:18
554000 -- (-2346.315) (-2350.399) [-2342.659] (-2329.297) * (-2345.369) (-2328.479) [-2323.804] (-2336.661) -- 0:07:17
555000 -- (-2330.842) [-2331.191] (-2348.900) (-2340.837) * (-2351.628) [-2320.631] (-2343.335) (-2355.377) -- 0:07:16
Average standard deviation of split frequencies: 0.010967
556000 -- (-2348.475) [-2324.095] (-2336.706) (-2329.678) * (-2348.428) [-2328.344] (-2327.761) (-2349.623) -- 0:07:16
557000 -- (-2346.555) (-2345.571) (-2350.843) [-2328.138] * (-2350.548) (-2342.726) [-2345.385] (-2340.339) -- 0:07:15
558000 -- [-2346.873] (-2337.333) (-2340.358) (-2349.005) * (-2368.353) (-2349.442) [-2325.404] (-2337.690) -- 0:07:14
559000 -- (-2336.911) (-2353.356) (-2337.365) [-2343.819] * (-2348.592) [-2331.287] (-2335.146) (-2341.861) -- 0:07:13
560000 -- (-2333.005) (-2346.481) (-2355.001) [-2333.831] * (-2352.189) (-2348.672) [-2337.098] (-2355.791) -- 0:07:12
Average standard deviation of split frequencies: 0.010364
561000 -- (-2336.538) (-2337.775) (-2352.066) [-2341.214] * (-2347.733) (-2341.441) [-2332.865] (-2364.486) -- 0:07:11
562000 -- [-2333.928] (-2331.786) (-2353.881) (-2352.003) * (-2362.860) (-2329.600) [-2344.761] (-2342.664) -- 0:07:10
563000 -- (-2354.014) (-2337.893) [-2348.974] (-2348.379) * (-2343.979) [-2330.887] (-2361.990) (-2363.919) -- 0:07:09
564000 -- (-2333.231) (-2336.077) [-2330.333] (-2360.491) * (-2343.211) (-2350.142) [-2334.259] (-2343.463) -- 0:07:08
565000 -- [-2335.075] (-2346.315) (-2363.080) (-2341.355) * (-2345.245) (-2349.874) [-2334.649] (-2353.809) -- 0:07:07
Average standard deviation of split frequencies: 0.010157
566000 -- (-2335.162) [-2353.012] (-2344.338) (-2347.527) * (-2331.399) [-2332.719] (-2355.860) (-2348.428) -- 0:07:06
567000 -- (-2345.444) [-2329.976] (-2353.446) (-2343.925) * (-2344.806) [-2330.914] (-2358.741) (-2350.024) -- 0:07:05
568000 -- (-2344.385) (-2342.861) [-2349.731] (-2348.499) * (-2333.276) (-2330.067) [-2338.861] (-2339.699) -- 0:07:04
569000 -- (-2346.722) (-2355.088) (-2359.348) [-2343.044] * (-2344.425) (-2337.586) [-2328.211] (-2336.453) -- 0:07:03
570000 -- (-2331.342) [-2358.304] (-2361.604) (-2353.777) * (-2390.262) (-2335.061) (-2350.997) [-2340.588] -- 0:07:02
Average standard deviation of split frequencies: 0.010182
571000 -- [-2335.421] (-2346.687) (-2359.699) (-2346.148) * (-2358.983) (-2330.750) [-2329.936] (-2345.748) -- 0:07:01
572000 -- (-2354.761) [-2334.720] (-2347.936) (-2354.752) * [-2343.598] (-2341.819) (-2351.312) (-2365.720) -- 0:07:00
573000 -- (-2340.449) (-2329.338) [-2342.814] (-2371.762) * (-2364.311) (-2347.571) [-2339.511] (-2344.145) -- 0:06:59
574000 -- [-2336.546] (-2329.582) (-2344.292) (-2356.053) * (-2362.280) [-2327.321] (-2321.070) (-2337.677) -- 0:06:58
575000 -- (-2349.161) (-2333.112) [-2355.223] (-2353.821) * (-2361.322) (-2352.163) [-2337.539] (-2331.700) -- 0:06:57
Average standard deviation of split frequencies: 0.010515
576000 -- (-2341.700) [-2336.749] (-2336.483) (-2347.378) * (-2362.138) (-2347.236) [-2328.798] (-2329.074) -- 0:06:56
577000 -- (-2363.613) [-2326.191] (-2344.925) (-2331.724) * (-2343.881) (-2343.993) [-2322.082] (-2331.937) -- 0:06:55
578000 -- (-2347.459) (-2343.966) (-2337.083) [-2346.168] * (-2330.819) [-2328.971] (-2333.094) (-2336.693) -- 0:06:54
579000 -- (-2348.293) [-2348.204] (-2341.400) (-2366.415) * [-2337.591] (-2332.634) (-2337.200) (-2358.201) -- 0:06:53
580000 -- [-2331.885] (-2372.244) (-2341.243) (-2348.051) * [-2341.013] (-2353.473) (-2339.935) (-2334.116) -- 0:06:52
Average standard deviation of split frequencies: 0.011260
581000 -- (-2329.416) (-2354.354) [-2327.190] (-2344.314) * (-2333.218) [-2343.463] (-2347.306) (-2345.046) -- 0:06:51
582000 -- (-2356.101) (-2344.082) [-2339.659] (-2340.253) * (-2330.632) [-2342.207] (-2341.470) (-2359.898) -- 0:06:50
583000 -- (-2365.393) (-2340.017) [-2333.275] (-2338.341) * [-2338.610] (-2345.710) (-2338.145) (-2357.084) -- 0:06:49
584000 -- (-2362.799) [-2324.938] (-2334.908) (-2347.119) * [-2330.231] (-2336.403) (-2341.746) (-2353.955) -- 0:06:48
585000 -- (-2365.142) (-2349.551) [-2331.109] (-2365.714) * (-2342.942) [-2334.744] (-2348.919) (-2350.876) -- 0:06:47
Average standard deviation of split frequencies: 0.011070
586000 -- [-2331.685] (-2337.747) (-2332.947) (-2336.607) * (-2355.420) (-2343.532) [-2333.854] (-2355.110) -- 0:06:46
587000 -- (-2352.495) [-2330.988] (-2335.713) (-2354.316) * (-2351.734) (-2335.738) (-2325.691) [-2334.639] -- 0:06:45
588000 -- [-2345.438] (-2338.074) (-2335.768) (-2351.306) * (-2356.733) (-2351.060) (-2352.192) [-2334.107] -- 0:06:44
589000 -- [-2335.675] (-2337.137) (-2341.992) (-2362.389) * (-2334.399) (-2358.534) (-2361.583) [-2328.472] -- 0:06:43
590000 -- [-2341.666] (-2327.978) (-2341.091) (-2366.496) * (-2333.506) (-2334.778) (-2329.819) [-2338.240] -- 0:06:42
Average standard deviation of split frequencies: 0.011520
591000 -- (-2354.813) (-2330.340) (-2361.303) [-2331.634] * (-2345.428) [-2342.125] (-2343.700) (-2342.035) -- 0:06:41
592000 -- (-2363.575) (-2351.584) (-2333.632) [-2328.926] * (-2348.103) [-2339.899] (-2355.815) (-2347.323) -- 0:06:40
593000 -- [-2344.821] (-2344.297) (-2332.298) (-2356.213) * (-2338.798) (-2329.443) (-2370.440) [-2338.203] -- 0:06:39
594000 -- (-2348.685) (-2348.149) (-2347.508) [-2346.680] * (-2340.289) [-2335.807] (-2343.104) (-2340.563) -- 0:06:38
595000 -- (-2348.206) [-2327.532] (-2348.340) (-2335.082) * (-2342.195) (-2329.529) (-2357.953) [-2348.712] -- 0:06:37
Average standard deviation of split frequencies: 0.011555
596000 -- (-2361.551) (-2354.499) [-2346.573] (-2355.227) * (-2341.810) (-2349.710) [-2334.085] (-2353.420) -- 0:06:36
597000 -- (-2345.294) [-2335.565] (-2351.913) (-2347.658) * (-2342.592) (-2332.786) [-2333.017] (-2364.012) -- 0:06:35
598000 -- [-2342.280] (-2329.573) (-2346.791) (-2350.028) * (-2345.398) [-2328.512] (-2336.721) (-2338.295) -- 0:06:34
599000 -- (-2345.289) (-2329.387) (-2353.944) [-2339.117] * (-2348.900) [-2333.531] (-2338.629) (-2327.198) -- 0:06:33
600000 -- [-2343.272] (-2341.341) (-2366.182) (-2336.350) * (-2361.289) [-2341.949] (-2338.165) (-2337.914) -- 0:06:32
Average standard deviation of split frequencies: 0.011977
601000 -- (-2349.357) (-2343.217) (-2337.035) [-2324.192] * (-2334.872) [-2346.375] (-2363.536) (-2346.966) -- 0:06:31
602000 -- (-2351.705) [-2325.170] (-2339.829) (-2345.267) * (-2334.871) [-2331.922] (-2349.016) (-2355.009) -- 0:06:30
603000 -- (-2355.106) [-2339.361] (-2340.812) (-2338.996) * (-2342.425) [-2326.667] (-2343.257) (-2355.577) -- 0:06:29
604000 -- (-2350.126) (-2354.598) (-2345.287) [-2331.226] * (-2363.890) (-2338.796) (-2341.849) [-2349.728] -- 0:06:28
605000 -- [-2335.199] (-2338.486) (-2354.846) (-2333.651) * (-2346.849) (-2344.022) [-2330.058] (-2348.940) -- 0:06:27
Average standard deviation of split frequencies: 0.011685
606000 -- (-2329.443) [-2336.940] (-2345.392) (-2340.394) * (-2343.701) (-2344.427) (-2352.451) [-2345.170] -- 0:06:26
607000 -- (-2333.477) (-2343.208) (-2339.868) [-2336.507] * (-2332.529) [-2348.471] (-2340.004) (-2354.454) -- 0:06:25
608000 -- (-2337.730) (-2341.060) (-2351.272) [-2340.903] * [-2345.108] (-2358.927) (-2347.608) (-2367.545) -- 0:06:24
609000 -- [-2347.557] (-2341.364) (-2337.229) (-2343.011) * (-2346.783) [-2331.938] (-2349.409) (-2352.475) -- 0:06:23
610000 -- [-2344.440] (-2342.555) (-2340.870) (-2343.556) * (-2359.815) (-2335.932) (-2337.842) [-2349.932] -- 0:06:22
Average standard deviation of split frequencies: 0.011311
611000 -- (-2344.668) [-2337.197] (-2351.600) (-2339.546) * (-2364.051) [-2336.420] (-2339.323) (-2348.823) -- 0:06:21
612000 -- (-2355.647) (-2339.407) (-2361.504) [-2333.270] * (-2340.325) (-2361.799) (-2346.734) [-2343.061] -- 0:06:21
613000 -- [-2337.274] (-2330.747) (-2363.077) (-2356.310) * (-2358.395) (-2339.819) [-2342.073] (-2339.791) -- 0:06:20
614000 -- (-2340.794) (-2364.252) [-2340.716] (-2347.493) * (-2334.692) (-2337.170) [-2333.206] (-2355.481) -- 0:06:19
615000 -- (-2354.471) (-2350.001) [-2322.830] (-2334.467) * [-2349.295] (-2334.296) (-2342.856) (-2363.565) -- 0:06:18
Average standard deviation of split frequencies: 0.011579
616000 -- (-2359.535) (-2346.637) [-2328.511] (-2340.103) * (-2367.096) (-2343.147) (-2340.773) [-2339.486] -- 0:06:17
617000 -- (-2337.729) (-2326.705) (-2350.169) [-2334.404] * (-2336.557) [-2332.864] (-2360.805) (-2353.395) -- 0:06:16
618000 -- (-2338.839) (-2346.112) (-2343.146) [-2334.917] * (-2359.499) (-2337.112) (-2373.512) [-2339.512] -- 0:06:15
619000 -- [-2338.881] (-2334.559) (-2349.617) (-2333.016) * (-2358.733) [-2340.704] (-2344.582) (-2343.816) -- 0:06:14
620000 -- [-2325.450] (-2347.572) (-2358.515) (-2331.071) * (-2348.941) (-2359.437) (-2342.676) [-2347.795] -- 0:06:13
Average standard deviation of split frequencies: 0.011591
621000 -- [-2334.128] (-2333.412) (-2341.368) (-2343.015) * [-2344.099] (-2340.424) (-2356.285) (-2351.335) -- 0:06:12
622000 -- (-2340.768) (-2334.053) (-2352.243) [-2335.964] * (-2333.980) (-2352.546) (-2348.986) [-2335.988] -- 0:06:11
623000 -- (-2332.764) [-2331.364] (-2356.439) (-2341.887) * (-2352.414) [-2327.023] (-2365.207) (-2332.188) -- 0:06:10
624000 -- [-2333.397] (-2348.145) (-2344.913) (-2359.703) * (-2359.176) (-2335.205) (-2345.422) [-2342.023] -- 0:06:09
625000 -- (-2354.534) [-2329.270] (-2336.235) (-2347.563) * (-2347.492) [-2337.473] (-2360.641) (-2338.108) -- 0:06:08
Average standard deviation of split frequencies: 0.011672
626000 -- (-2361.875) (-2334.792) [-2330.151] (-2336.550) * [-2341.652] (-2344.518) (-2353.013) (-2327.373) -- 0:06:07
627000 -- (-2350.840) (-2345.063) [-2333.736] (-2348.205) * [-2334.355] (-2345.384) (-2354.063) (-2332.461) -- 0:06:05
628000 -- (-2342.529) (-2362.362) [-2336.891] (-2360.106) * (-2345.529) (-2339.708) (-2346.637) [-2336.817] -- 0:06:05
629000 -- [-2348.225] (-2349.963) (-2337.243) (-2346.304) * (-2354.278) (-2348.047) [-2330.697] (-2331.038) -- 0:06:04
630000 -- (-2332.963) (-2347.438) [-2332.310] (-2348.743) * (-2348.558) [-2348.504] (-2341.807) (-2341.466) -- 0:06:03
Average standard deviation of split frequencies: 0.011423
631000 -- (-2335.085) (-2349.396) [-2341.738] (-2332.940) * (-2359.615) (-2346.025) [-2329.520] (-2347.961) -- 0:06:02
632000 -- (-2348.682) (-2347.158) (-2339.839) [-2328.275] * [-2344.850] (-2341.315) (-2335.331) (-2347.794) -- 0:06:01
633000 -- (-2337.774) (-2357.537) (-2365.447) [-2325.686] * (-2328.722) [-2350.859] (-2330.974) (-2347.523) -- 0:06:00
634000 -- (-2342.785) (-2355.396) [-2344.273] (-2328.958) * [-2328.757] (-2331.673) (-2345.048) (-2355.595) -- 0:05:59
635000 -- (-2329.751) (-2338.857) (-2356.210) [-2348.658] * (-2329.919) (-2335.745) [-2340.838] (-2374.846) -- 0:05:58
Average standard deviation of split frequencies: 0.011779
636000 -- (-2336.090) (-2343.974) [-2344.994] (-2332.060) * (-2340.147) (-2362.005) [-2338.432] (-2361.775) -- 0:05:57
637000 -- [-2339.820] (-2364.771) (-2340.158) (-2345.627) * (-2345.380) (-2360.817) [-2333.756] (-2353.617) -- 0:05:56
638000 -- (-2348.311) (-2348.245) [-2346.669] (-2350.790) * (-2330.487) (-2353.848) (-2357.703) [-2342.446] -- 0:05:55
639000 -- [-2341.697] (-2346.606) (-2357.610) (-2334.258) * (-2338.951) (-2357.225) (-2344.025) [-2335.120] -- 0:05:54
640000 -- (-2351.843) (-2354.831) (-2347.921) [-2345.221] * (-2333.196) [-2327.439] (-2370.987) (-2344.749) -- 0:05:53
Average standard deviation of split frequencies: 0.011901
641000 -- (-2351.869) [-2337.914] (-2354.095) (-2354.032) * (-2330.701) (-2340.316) (-2356.367) [-2339.101] -- 0:05:52
642000 -- [-2336.426] (-2371.932) (-2341.706) (-2348.082) * [-2338.539] (-2342.545) (-2354.448) (-2339.691) -- 0:05:51
643000 -- [-2329.247] (-2346.614) (-2347.342) (-2339.521) * [-2333.184] (-2346.706) (-2353.362) (-2333.580) -- 0:05:50
644000 -- (-2339.073) (-2350.698) [-2345.282] (-2345.245) * (-2334.943) [-2337.777] (-2344.299) (-2333.313) -- 0:05:49
645000 -- [-2336.081] (-2351.209) (-2361.583) (-2335.677) * (-2351.908) [-2328.886] (-2352.603) (-2338.377) -- 0:05:48
Average standard deviation of split frequencies: 0.012120
646000 -- [-2332.783] (-2352.575) (-2356.173) (-2330.139) * [-2341.631] (-2332.358) (-2355.240) (-2332.891) -- 0:05:47
647000 -- (-2350.924) [-2348.334] (-2357.910) (-2357.682) * (-2351.574) [-2331.201] (-2371.695) (-2341.506) -- 0:05:46
648000 -- (-2331.635) [-2326.694] (-2353.232) (-2358.489) * (-2356.848) [-2344.140] (-2357.490) (-2337.917) -- 0:05:46
649000 -- (-2335.995) [-2351.593] (-2348.919) (-2340.174) * [-2339.339] (-2336.732) (-2358.165) (-2348.391) -- 0:05:45
650000 -- (-2337.318) (-2354.751) [-2341.943] (-2350.934) * [-2347.020] (-2344.321) (-2366.654) (-2339.573) -- 0:05:44
Average standard deviation of split frequencies: 0.012222
651000 -- (-2341.044) (-2353.846) (-2347.358) [-2335.989] * (-2354.605) (-2341.581) (-2352.478) [-2325.802] -- 0:05:43
652000 -- (-2357.500) (-2346.212) [-2350.259] (-2338.863) * (-2350.955) (-2346.929) (-2354.827) [-2334.308] -- 0:05:42
653000 -- (-2356.318) (-2337.174) [-2344.713] (-2331.244) * (-2344.606) (-2348.752) [-2341.061] (-2334.613) -- 0:05:41
654000 -- (-2359.168) (-2324.549) (-2367.992) [-2334.277] * (-2331.606) (-2386.937) (-2345.371) [-2352.844] -- 0:05:40
655000 -- [-2331.667] (-2331.252) (-2351.852) (-2340.520) * (-2331.745) (-2363.717) (-2357.922) [-2343.202] -- 0:05:39
Average standard deviation of split frequencies: 0.012076
656000 -- [-2332.273] (-2334.609) (-2365.764) (-2346.985) * (-2326.868) (-2335.186) [-2341.790] (-2352.419) -- 0:05:38
657000 -- (-2365.998) (-2339.159) [-2345.664] (-2344.803) * (-2333.431) (-2342.475) (-2343.913) [-2346.623] -- 0:05:37
658000 -- (-2355.517) (-2339.191) [-2335.573] (-2350.091) * [-2348.244] (-2340.978) (-2370.349) (-2340.974) -- 0:05:36
659000 -- (-2334.406) [-2342.630] (-2327.923) (-2351.594) * (-2337.997) [-2333.757] (-2354.698) (-2344.022) -- 0:05:35
660000 -- [-2326.227] (-2335.341) (-2337.843) (-2365.527) * [-2338.376] (-2330.737) (-2355.746) (-2346.715) -- 0:05:34
Average standard deviation of split frequencies: 0.011975
661000 -- (-2337.083) [-2341.996] (-2328.631) (-2351.854) * (-2358.572) [-2335.511] (-2355.794) (-2341.956) -- 0:05:33
662000 -- (-2336.056) [-2339.769] (-2342.888) (-2345.231) * [-2340.045] (-2335.794) (-2342.022) (-2353.842) -- 0:05:32
663000 -- [-2336.121] (-2356.313) (-2340.174) (-2342.681) * [-2337.960] (-2344.139) (-2355.914) (-2334.174) -- 0:05:31
664000 -- [-2329.185] (-2352.957) (-2351.241) (-2333.027) * [-2325.942] (-2335.236) (-2346.559) (-2346.782) -- 0:05:30
665000 -- (-2334.797) (-2342.665) [-2337.334] (-2332.666) * (-2342.476) (-2350.756) (-2352.438) [-2327.502] -- 0:05:29
Average standard deviation of split frequencies: 0.012341
666000 -- (-2341.214) [-2348.274] (-2344.095) (-2333.107) * (-2339.158) (-2351.104) (-2335.608) [-2335.428] -- 0:05:28
667000 -- (-2335.439) (-2347.404) [-2363.907] (-2362.906) * (-2346.448) [-2349.034] (-2339.368) (-2350.885) -- 0:05:27
668000 -- (-2348.346) (-2347.826) [-2332.981] (-2355.463) * (-2342.397) (-2334.484) [-2330.387] (-2349.150) -- 0:05:26
669000 -- (-2347.422) (-2336.959) (-2349.382) [-2349.603] * [-2341.155] (-2354.335) (-2334.865) (-2364.303) -- 0:05:25
670000 -- [-2332.731] (-2341.669) (-2346.149) (-2343.807) * (-2324.318) (-2374.422) [-2340.203] (-2341.358) -- 0:05:24
Average standard deviation of split frequencies: 0.012652
671000 -- (-2338.832) (-2351.914) (-2319.763) [-2341.073] * [-2332.153] (-2361.687) (-2347.906) (-2336.059) -- 0:05:23
672000 -- [-2338.388] (-2345.995) (-2334.863) (-2349.151) * (-2334.032) (-2335.670) [-2325.872] (-2358.793) -- 0:05:22
673000 -- (-2349.142) (-2341.956) [-2331.829] (-2335.513) * (-2335.469) (-2352.381) [-2332.415] (-2345.756) -- 0:05:21
674000 -- (-2336.891) (-2338.241) [-2336.089] (-2346.267) * [-2324.560] (-2370.357) (-2331.168) (-2342.630) -- 0:05:20
675000 -- (-2349.457) (-2344.800) [-2324.501] (-2343.352) * [-2335.093] (-2349.762) (-2333.527) (-2349.086) -- 0:05:19
Average standard deviation of split frequencies: 0.012901
676000 -- (-2340.802) (-2353.879) [-2347.123] (-2347.793) * [-2325.457] (-2354.633) (-2350.725) (-2342.184) -- 0:05:18
677000 -- (-2335.671) (-2352.306) [-2329.402] (-2334.476) * (-2344.816) (-2348.345) (-2338.656) [-2335.673] -- 0:05:17
678000 -- (-2357.081) (-2332.730) [-2326.798] (-2338.035) * (-2346.536) [-2334.246] (-2345.279) (-2332.151) -- 0:05:16
679000 -- [-2331.782] (-2344.111) (-2329.066) (-2356.670) * (-2356.607) (-2343.066) (-2346.672) [-2328.170] -- 0:05:15
680000 -- (-2346.238) [-2327.311] (-2331.431) (-2342.424) * [-2341.332] (-2338.693) (-2335.229) (-2343.970) -- 0:05:14
Average standard deviation of split frequencies: 0.012812
681000 -- (-2341.769) (-2360.688) (-2344.616) [-2338.213] * (-2348.025) [-2334.347] (-2363.248) (-2327.606) -- 0:05:13
682000 -- (-2357.076) (-2356.334) (-2340.156) [-2333.537] * [-2337.013] (-2333.162) (-2351.920) (-2340.006) -- 0:05:12
683000 -- (-2349.980) [-2346.411] (-2337.338) (-2331.029) * (-2335.381) [-2326.750] (-2344.344) (-2333.666) -- 0:05:11
684000 -- (-2355.952) (-2339.538) [-2347.762] (-2347.148) * [-2318.612] (-2345.414) (-2355.828) (-2355.093) -- 0:05:10
685000 -- (-2358.796) (-2346.332) (-2353.275) [-2334.542] * (-2338.796) (-2328.432) [-2334.672] (-2344.887) -- 0:05:09
Average standard deviation of split frequencies: 0.012982
686000 -- (-2363.122) (-2348.523) [-2357.781] (-2343.223) * (-2345.728) [-2325.581] (-2331.547) (-2336.197) -- 0:05:08
687000 -- (-2364.142) (-2321.076) (-2341.469) [-2340.498] * (-2343.379) (-2338.360) [-2325.048] (-2355.062) -- 0:05:07
688000 -- (-2337.611) [-2334.311] (-2346.507) (-2347.004) * (-2333.395) (-2335.824) [-2344.947] (-2343.992) -- 0:05:06
689000 -- (-2334.279) (-2360.804) [-2345.920] (-2355.894) * (-2334.671) (-2350.639) [-2342.138] (-2326.979) -- 0:05:05
690000 -- [-2318.807] (-2342.131) (-2355.041) (-2339.879) * (-2343.578) (-2352.116) [-2334.595] (-2323.422) -- 0:05:04
Average standard deviation of split frequencies: 0.013369
691000 -- (-2345.361) (-2356.932) [-2337.150] (-2350.734) * (-2329.556) (-2348.159) (-2339.943) [-2334.730] -- 0:05:03
692000 -- (-2339.011) (-2357.455) (-2353.546) [-2333.135] * (-2346.302) (-2353.892) [-2339.974] (-2338.262) -- 0:05:02
693000 -- (-2339.096) (-2367.920) [-2342.671] (-2333.755) * [-2338.182] (-2373.731) (-2344.336) (-2348.096) -- 0:05:01
694000 -- (-2338.061) [-2356.233] (-2337.354) (-2335.407) * (-2330.655) [-2348.806] (-2342.188) (-2358.640) -- 0:05:00
695000 -- [-2338.227] (-2356.493) (-2338.024) (-2352.701) * (-2344.938) [-2356.055] (-2359.628) (-2339.337) -- 0:04:59
Average standard deviation of split frequencies: 0.013384
696000 -- [-2340.765] (-2335.612) (-2347.369) (-2355.336) * (-2330.057) [-2338.977] (-2362.762) (-2331.965) -- 0:04:58
697000 -- (-2358.488) [-2351.744] (-2337.358) (-2341.475) * (-2333.545) [-2352.614] (-2355.208) (-2329.962) -- 0:04:57
698000 -- (-2371.384) [-2339.483] (-2336.758) (-2335.542) * [-2329.265] (-2350.123) (-2351.223) (-2345.915) -- 0:04:56
699000 -- [-2332.481] (-2333.578) (-2350.564) (-2363.332) * [-2339.414] (-2338.116) (-2348.189) (-2340.594) -- 0:04:55
700000 -- (-2331.380) (-2331.541) [-2326.245] (-2335.485) * [-2341.087] (-2359.243) (-2345.421) (-2347.937) -- 0:04:54
Average standard deviation of split frequencies: 0.013061
701000 -- [-2340.338] (-2351.894) (-2336.448) (-2346.166) * (-2337.363) [-2341.049] (-2345.204) (-2335.855) -- 0:04:53
702000 -- [-2329.129] (-2341.437) (-2337.058) (-2347.948) * (-2349.371) [-2337.896] (-2330.606) (-2352.432) -- 0:04:52
703000 -- (-2349.457) (-2339.429) (-2328.174) [-2337.006] * (-2338.485) (-2325.780) [-2338.685] (-2345.483) -- 0:04:51
704000 -- (-2326.027) (-2336.008) (-2346.876) [-2346.436] * (-2340.530) (-2349.229) (-2352.954) [-2339.174] -- 0:04:50
705000 -- (-2329.826) [-2329.610] (-2337.637) (-2335.441) * [-2343.833] (-2341.222) (-2349.506) (-2350.002) -- 0:04:49
Average standard deviation of split frequencies: 0.013137
706000 -- [-2343.305] (-2357.862) (-2371.667) (-2330.588) * [-2350.281] (-2355.147) (-2347.223) (-2355.130) -- 0:04:48
707000 -- [-2322.572] (-2355.177) (-2376.462) (-2332.832) * (-2355.954) (-2338.229) [-2345.135] (-2362.386) -- 0:04:47
708000 -- (-2350.241) (-2342.398) (-2350.468) [-2334.912] * (-2337.278) [-2333.748] (-2333.952) (-2334.128) -- 0:04:46
709000 -- (-2336.001) (-2333.770) [-2344.631] (-2334.617) * (-2336.241) (-2339.817) [-2336.588] (-2351.343) -- 0:04:45
710000 -- (-2347.206) (-2328.135) (-2350.426) [-2331.773] * (-2348.114) (-2351.485) [-2339.524] (-2341.558) -- 0:04:44
Average standard deviation of split frequencies: 0.013094
711000 -- [-2331.224] (-2327.211) (-2357.089) (-2348.401) * (-2338.250) (-2361.741) (-2347.636) [-2348.875] -- 0:04:43
712000 -- (-2337.970) [-2339.534] (-2336.611) (-2366.131) * [-2331.423] (-2338.852) (-2348.985) (-2352.043) -- 0:04:42
713000 -- (-2351.450) (-2347.739) [-2325.661] (-2346.881) * (-2344.787) (-2350.307) [-2336.481] (-2343.408) -- 0:04:41
714000 -- (-2371.353) (-2343.075) (-2344.540) [-2331.286] * (-2338.675) (-2342.991) [-2340.255] (-2352.812) -- 0:04:40
715000 -- (-2367.461) (-2328.058) (-2353.120) [-2337.900] * (-2340.339) [-2318.189] (-2344.983) (-2350.430) -- 0:04:39
Average standard deviation of split frequencies: 0.013110
716000 -- [-2335.568] (-2342.500) (-2346.500) (-2354.667) * (-2349.598) [-2333.356] (-2338.774) (-2341.692) -- 0:04:38
717000 -- (-2344.297) (-2335.234) (-2325.725) [-2332.523] * [-2346.091] (-2351.867) (-2363.601) (-2342.946) -- 0:04:37
718000 -- (-2351.601) (-2336.992) [-2334.609] (-2358.537) * (-2340.042) [-2343.892] (-2343.052) (-2335.384) -- 0:04:36
719000 -- [-2337.349] (-2338.053) (-2354.680) (-2352.791) * [-2346.088] (-2358.315) (-2337.368) (-2350.851) -- 0:04:35
720000 -- (-2356.238) (-2332.661) [-2338.916] (-2344.431) * (-2337.222) (-2359.722) (-2341.878) [-2343.905] -- 0:04:34
Average standard deviation of split frequencies: 0.013082
721000 -- (-2336.072) [-2325.023] (-2341.015) (-2360.365) * (-2345.913) (-2340.077) [-2325.385] (-2319.718) -- 0:04:33
722000 -- (-2325.949) (-2338.178) [-2331.111] (-2352.275) * [-2331.154] (-2325.149) (-2347.820) (-2333.397) -- 0:04:32
723000 -- [-2343.579] (-2336.881) (-2337.273) (-2342.994) * (-2358.831) (-2341.694) [-2336.596] (-2346.326) -- 0:04:32
724000 -- (-2347.883) (-2346.720) [-2333.483] (-2332.772) * (-2359.289) (-2335.483) (-2349.043) [-2331.854] -- 0:04:31
725000 -- [-2333.647] (-2354.394) (-2349.071) (-2341.914) * (-2337.136) (-2339.349) [-2342.315] (-2351.534) -- 0:04:30
Average standard deviation of split frequencies: 0.013000
726000 -- (-2333.762) (-2351.693) [-2345.518] (-2327.823) * [-2332.542] (-2329.355) (-2361.727) (-2346.973) -- 0:04:29
727000 -- [-2334.642] (-2349.405) (-2358.692) (-2344.211) * [-2342.175] (-2329.334) (-2356.275) (-2348.345) -- 0:04:28
728000 -- [-2329.304] (-2351.170) (-2352.099) (-2331.221) * (-2348.789) (-2352.855) (-2346.143) [-2325.118] -- 0:04:27
729000 -- (-2341.737) (-2352.711) [-2346.002] (-2323.494) * (-2347.609) (-2351.730) [-2334.737] (-2345.695) -- 0:04:26
730000 -- (-2327.005) (-2351.019) (-2341.909) [-2339.573] * [-2335.627] (-2361.248) (-2329.692) (-2357.655) -- 0:04:25
Average standard deviation of split frequencies: 0.012258
731000 -- (-2344.849) (-2368.447) (-2333.019) [-2335.007] * (-2336.551) (-2335.073) [-2313.794] (-2344.910) -- 0:04:24
732000 -- (-2353.030) (-2340.061) (-2335.161) [-2336.478] * (-2345.974) [-2331.451] (-2323.565) (-2358.331) -- 0:04:23
733000 -- (-2362.993) [-2341.105] (-2345.212) (-2334.872) * (-2360.711) [-2336.811] (-2331.949) (-2381.579) -- 0:04:22
734000 -- [-2351.849] (-2352.895) (-2341.916) (-2354.469) * [-2336.688] (-2352.063) (-2348.128) (-2362.772) -- 0:04:21
735000 -- [-2351.526] (-2353.336) (-2334.331) (-2338.417) * [-2333.844] (-2339.240) (-2335.219) (-2379.710) -- 0:04:20
Average standard deviation of split frequencies: 0.011640
736000 -- (-2345.918) (-2343.075) [-2336.920] (-2351.044) * (-2329.776) (-2343.940) [-2332.871] (-2345.728) -- 0:04:19
737000 -- (-2346.259) (-2345.628) [-2330.471] (-2345.613) * [-2326.702] (-2337.945) (-2344.757) (-2342.061) -- 0:04:18
738000 -- (-2332.187) (-2330.876) [-2326.501] (-2349.257) * (-2339.257) (-2350.530) [-2330.145] (-2348.068) -- 0:04:17
739000 -- (-2350.071) (-2347.578) [-2344.442] (-2343.572) * (-2342.601) (-2354.228) [-2350.428] (-2355.417) -- 0:04:16
740000 -- (-2347.744) [-2342.839] (-2349.003) (-2343.218) * [-2328.199] (-2346.049) (-2338.989) (-2349.736) -- 0:04:15
Average standard deviation of split frequencies: 0.012648
741000 -- (-2352.320) (-2350.515) (-2353.662) [-2339.079] * (-2352.485) (-2341.323) (-2343.240) [-2334.034] -- 0:04:14
742000 -- (-2338.372) (-2363.113) (-2362.333) [-2338.219] * (-2349.507) (-2331.090) (-2345.578) [-2333.171] -- 0:04:13
743000 -- [-2318.731] (-2346.942) (-2353.431) (-2339.504) * (-2325.590) (-2344.336) [-2335.339] (-2357.827) -- 0:04:12
744000 -- (-2330.757) (-2370.729) [-2332.141] (-2346.531) * (-2340.324) (-2352.029) [-2339.472] (-2350.133) -- 0:04:11
745000 -- (-2336.979) [-2331.454] (-2343.582) (-2362.109) * (-2336.966) (-2346.189) [-2333.044] (-2345.487) -- 0:04:10
Average standard deviation of split frequencies: 0.012759
746000 -- (-2338.843) (-2347.305) [-2343.623] (-2349.380) * (-2334.128) (-2356.465) [-2337.897] (-2350.238) -- 0:04:09
747000 -- (-2346.341) [-2338.134] (-2338.127) (-2339.988) * (-2347.908) (-2341.200) [-2342.330] (-2349.907) -- 0:04:08
748000 -- (-2337.814) [-2328.193] (-2355.051) (-2351.728) * [-2343.190] (-2350.619) (-2342.285) (-2344.022) -- 0:04:07
749000 -- [-2327.578] (-2328.782) (-2337.808) (-2361.666) * (-2339.535) (-2357.189) (-2329.834) [-2334.662] -- 0:04:06
750000 -- (-2340.236) (-2335.994) (-2359.921) [-2329.928] * (-2326.976) (-2357.460) (-2348.780) [-2336.847] -- 0:04:05
Average standard deviation of split frequencies: 0.012894
751000 -- [-2346.230] (-2336.610) (-2354.396) (-2338.149) * (-2330.788) (-2366.635) [-2339.984] (-2344.243) -- 0:04:04
752000 -- (-2350.076) [-2336.996] (-2339.499) (-2372.985) * (-2329.537) [-2350.304] (-2354.125) (-2339.120) -- 0:04:03
753000 -- (-2357.732) (-2339.183) (-2338.463) [-2335.533] * (-2338.346) (-2361.951) [-2335.645] (-2347.694) -- 0:04:02
754000 -- (-2333.065) [-2340.166] (-2349.161) (-2338.513) * (-2339.289) [-2348.193] (-2336.686) (-2348.174) -- 0:04:01
755000 -- (-2345.658) (-2344.267) [-2335.324] (-2332.341) * [-2342.705] (-2349.869) (-2339.239) (-2353.658) -- 0:04:00
Average standard deviation of split frequencies: 0.013068
756000 -- [-2328.821] (-2340.940) (-2342.748) (-2346.065) * (-2341.066) [-2333.199] (-2343.436) (-2353.025) -- 0:03:59
757000 -- [-2337.002] (-2349.460) (-2335.260) (-2337.553) * [-2336.561] (-2352.306) (-2343.880) (-2357.696) -- 0:03:58
758000 -- (-2337.280) (-2356.456) [-2334.471] (-2365.075) * (-2357.941) [-2335.926] (-2339.343) (-2349.418) -- 0:03:57
759000 -- [-2325.796] (-2344.263) (-2359.622) (-2352.319) * (-2348.662) (-2348.348) (-2343.688) [-2342.379] -- 0:03:56
760000 -- (-2362.818) (-2334.163) [-2340.627] (-2342.819) * (-2347.237) (-2336.598) (-2339.838) [-2345.882] -- 0:03:55
Average standard deviation of split frequencies: 0.013568
761000 -- (-2343.838) (-2341.052) (-2337.359) [-2325.717] * [-2322.841] (-2340.706) (-2360.515) (-2333.563) -- 0:03:54
762000 -- [-2346.648] (-2342.809) (-2344.639) (-2353.277) * [-2334.563] (-2336.570) (-2362.351) (-2343.186) -- 0:03:53
763000 -- (-2344.561) (-2344.663) (-2362.950) [-2326.881] * (-2338.055) (-2372.303) (-2349.953) [-2348.105] -- 0:03:52
764000 -- (-2331.293) [-2337.009] (-2351.533) (-2330.160) * (-2346.602) [-2343.092] (-2378.688) (-2355.204) -- 0:03:51
765000 -- (-2332.933) [-2344.257] (-2337.388) (-2345.682) * (-2331.001) (-2347.576) (-2361.472) [-2343.046] -- 0:03:50
Average standard deviation of split frequencies: 0.013631
766000 -- (-2339.273) [-2339.618] (-2333.357) (-2333.677) * (-2331.668) (-2350.609) (-2349.037) [-2332.379] -- 0:03:49
767000 -- (-2355.201) (-2328.379) (-2342.638) [-2339.152] * (-2347.837) [-2347.648] (-2354.551) (-2341.993) -- 0:03:48
768000 -- (-2323.460) (-2339.074) [-2331.194] (-2355.192) * (-2342.008) (-2338.644) [-2347.335] (-2339.186) -- 0:03:47
769000 -- (-2341.936) (-2338.789) [-2331.845] (-2356.324) * [-2346.789] (-2337.011) (-2344.087) (-2350.509) -- 0:03:46
770000 -- (-2339.365) (-2340.226) [-2336.816] (-2348.847) * (-2352.821) (-2334.897) [-2329.269] (-2359.524) -- 0:03:45
Average standard deviation of split frequencies: 0.013314
771000 -- (-2356.593) [-2335.862] (-2347.957) (-2341.834) * [-2341.132] (-2358.399) (-2348.683) (-2341.491) -- 0:03:44
772000 -- (-2369.141) (-2332.066) [-2338.609] (-2350.385) * (-2359.871) [-2347.161] (-2345.359) (-2347.308) -- 0:03:43
773000 -- [-2336.549] (-2354.248) (-2345.127) (-2361.921) * (-2343.585) (-2351.277) [-2341.422] (-2336.162) -- 0:03:42
774000 -- [-2341.862] (-2362.735) (-2343.437) (-2336.703) * [-2336.767] (-2339.314) (-2347.117) (-2341.783) -- 0:03:41
775000 -- (-2353.524) (-2348.296) [-2325.400] (-2344.964) * [-2342.056] (-2342.278) (-2341.370) (-2339.877) -- 0:03:40
Average standard deviation of split frequencies: 0.013365
776000 -- (-2337.379) [-2320.829] (-2339.642) (-2344.889) * [-2334.436] (-2335.187) (-2342.458) (-2342.211) -- 0:03:39
777000 -- (-2333.537) [-2329.932] (-2333.567) (-2342.753) * (-2326.795) (-2337.152) (-2339.047) [-2330.616] -- 0:03:38
778000 -- (-2357.986) (-2348.400) [-2340.995] (-2360.640) * (-2363.320) (-2347.135) [-2327.009] (-2344.237) -- 0:03:38
779000 -- (-2361.630) [-2335.022] (-2354.407) (-2348.527) * (-2361.404) [-2334.494] (-2326.726) (-2340.226) -- 0:03:37
780000 -- [-2336.205] (-2354.782) (-2340.698) (-2345.151) * (-2342.453) [-2326.488] (-2322.737) (-2334.831) -- 0:03:36
Average standard deviation of split frequencies: 0.013567
781000 -- (-2342.854) (-2333.352) (-2348.144) [-2351.448] * (-2351.390) (-2326.376) [-2343.361] (-2343.019) -- 0:03:35
782000 -- (-2349.077) (-2356.793) (-2335.867) [-2327.593] * (-2367.931) [-2337.388] (-2337.187) (-2339.708) -- 0:03:34
783000 -- (-2346.162) [-2340.460] (-2334.757) (-2338.070) * (-2349.222) (-2338.038) (-2343.917) [-2337.726] -- 0:03:33
784000 -- (-2336.893) (-2336.294) (-2347.373) [-2335.795] * [-2363.438] (-2332.263) (-2342.181) (-2331.674) -- 0:03:32
785000 -- [-2327.999] (-2329.340) (-2335.197) (-2359.722) * (-2370.155) [-2325.961] (-2353.139) (-2337.455) -- 0:03:31
Average standard deviation of split frequencies: 0.013424
786000 -- (-2328.371) (-2350.788) (-2337.006) [-2341.603] * (-2369.347) [-2359.112] (-2359.429) (-2342.027) -- 0:03:30
787000 -- (-2342.468) (-2360.100) (-2336.863) [-2338.337] * [-2336.233] (-2344.030) (-2352.769) (-2364.354) -- 0:03:29
788000 -- [-2336.241] (-2353.745) (-2343.642) (-2349.954) * (-2351.730) [-2352.882] (-2344.968) (-2353.530) -- 0:03:28
789000 -- (-2368.075) (-2348.350) [-2330.462] (-2341.176) * [-2329.579] (-2373.483) (-2341.108) (-2345.428) -- 0:03:27
790000 -- [-2339.882] (-2353.619) (-2338.052) (-2328.367) * (-2333.279) (-2355.169) [-2343.463] (-2333.651) -- 0:03:26
Average standard deviation of split frequencies: 0.013269
791000 -- [-2331.568] (-2363.668) (-2339.245) (-2337.986) * (-2329.763) (-2350.202) (-2358.223) [-2338.466] -- 0:03:25
792000 -- (-2337.982) (-2339.673) [-2329.113] (-2350.842) * (-2342.826) [-2336.216] (-2346.705) (-2348.806) -- 0:03:24
793000 -- [-2341.494] (-2339.567) (-2328.726) (-2350.101) * (-2331.635) (-2341.367) [-2343.392] (-2349.243) -- 0:03:23
794000 -- [-2337.819] (-2335.548) (-2354.268) (-2351.182) * (-2323.758) (-2349.829) [-2337.407] (-2341.010) -- 0:03:22
795000 -- (-2326.371) (-2335.862) (-2350.455) [-2329.128] * [-2337.275] (-2346.807) (-2335.079) (-2335.008) -- 0:03:21
Average standard deviation of split frequencies: 0.012890
796000 -- (-2349.552) (-2342.800) [-2330.975] (-2334.667) * (-2354.678) (-2358.985) (-2336.615) [-2340.322] -- 0:03:20
797000 -- (-2335.492) (-2365.208) [-2329.312] (-2341.323) * [-2337.466] (-2348.914) (-2350.247) (-2346.371) -- 0:03:19
798000 -- [-2330.706] (-2348.296) (-2353.170) (-2359.760) * (-2349.618) [-2347.946] (-2362.279) (-2355.082) -- 0:03:18
799000 -- (-2345.999) (-2361.814) [-2342.119] (-2348.248) * (-2343.724) [-2331.398] (-2350.544) (-2346.447) -- 0:03:17
800000 -- [-2339.234] (-2337.660) (-2360.503) (-2335.656) * [-2330.282] (-2334.412) (-2342.525) (-2356.437) -- 0:03:16
Average standard deviation of split frequencies: 0.012765
801000 -- (-2337.007) (-2349.453) [-2328.931] (-2343.912) * (-2348.093) [-2334.134] (-2347.957) (-2352.461) -- 0:03:15
802000 -- [-2336.632] (-2341.980) (-2360.584) (-2352.383) * [-2335.592] (-2348.274) (-2343.844) (-2364.583) -- 0:03:14
803000 -- [-2327.330] (-2354.339) (-2355.206) (-2358.612) * (-2338.079) [-2327.392] (-2336.494) (-2357.744) -- 0:03:13
804000 -- [-2330.428] (-2351.358) (-2346.575) (-2334.455) * (-2341.018) (-2348.242) (-2344.888) [-2342.846] -- 0:03:12
805000 -- [-2326.671] (-2352.736) (-2348.391) (-2341.843) * (-2338.220) (-2359.999) (-2350.490) [-2338.041] -- 0:03:11
Average standard deviation of split frequencies: 0.012245
806000 -- [-2331.717] (-2345.254) (-2346.413) (-2344.656) * (-2347.921) (-2329.919) (-2351.573) [-2338.286] -- 0:03:10
807000 -- [-2321.247] (-2355.427) (-2342.811) (-2340.320) * (-2346.269) [-2331.668] (-2359.578) (-2354.158) -- 0:03:09
808000 -- [-2335.538] (-2337.941) (-2348.622) (-2341.358) * (-2341.845) [-2335.723] (-2347.571) (-2351.039) -- 0:03:08
809000 -- [-2332.498] (-2363.356) (-2345.041) (-2347.017) * (-2349.828) (-2338.386) (-2349.711) [-2340.797] -- 0:03:07
810000 -- (-2335.316) (-2344.928) (-2339.588) [-2324.841] * (-2331.411) (-2366.990) (-2342.482) [-2340.079] -- 0:03:06
Average standard deviation of split frequencies: 0.012323
811000 -- [-2333.750] (-2353.767) (-2350.841) (-2334.300) * (-2356.858) (-2359.826) [-2330.820] (-2333.613) -- 0:03:05
812000 -- [-2342.977] (-2386.191) (-2351.771) (-2338.845) * (-2353.938) [-2342.486] (-2341.886) (-2345.492) -- 0:03:04
813000 -- [-2339.472] (-2356.419) (-2344.352) (-2346.173) * (-2339.863) [-2330.412] (-2352.230) (-2322.070) -- 0:03:03
814000 -- (-2347.650) (-2364.012) (-2354.347) [-2335.831] * (-2357.269) (-2340.518) [-2339.832] (-2330.737) -- 0:03:02
815000 -- (-2359.377) [-2328.943] (-2340.794) (-2347.299) * (-2353.587) (-2331.380) (-2346.082) [-2345.608] -- 0:03:01
Average standard deviation of split frequencies: 0.012390
816000 -- (-2340.350) [-2330.951] (-2342.856) (-2357.186) * (-2361.301) [-2320.841] (-2360.198) (-2337.954) -- 0:03:00
817000 -- (-2329.093) (-2341.538) [-2339.258] (-2347.678) * (-2339.130) (-2349.797) [-2352.384] (-2330.579) -- 0:02:59
818000 -- (-2364.002) [-2335.446] (-2333.523) (-2341.432) * [-2336.326] (-2342.001) (-2348.344) (-2344.411) -- 0:02:58
819000 -- (-2334.218) (-2335.012) (-2337.905) [-2334.891] * (-2339.668) (-2364.264) (-2337.695) [-2336.433] -- 0:02:57
820000 -- (-2341.390) (-2344.515) [-2329.791] (-2359.997) * (-2339.687) (-2349.037) (-2343.355) [-2334.321] -- 0:02:56
Average standard deviation of split frequencies: 0.012686
821000 -- (-2355.946) (-2346.335) [-2336.090] (-2334.963) * (-2338.212) [-2351.248] (-2352.025) (-2336.101) -- 0:02:55
822000 -- (-2356.779) [-2334.405] (-2335.646) (-2332.929) * (-2340.996) (-2359.867) [-2347.378] (-2347.852) -- 0:02:54
823000 -- (-2358.027) (-2351.569) [-2347.579] (-2355.558) * (-2352.749) [-2343.766] (-2353.718) (-2335.682) -- 0:02:53
824000 -- (-2329.925) (-2340.521) (-2328.640) [-2343.497] * (-2345.144) (-2347.673) [-2332.197] (-2349.815) -- 0:02:52
825000 -- (-2351.959) (-2349.669) (-2344.545) [-2329.851] * (-2338.918) (-2345.528) [-2339.342] (-2344.421) -- 0:02:51
Average standard deviation of split frequencies: 0.012543
826000 -- (-2339.886) (-2333.051) [-2340.563] (-2345.288) * (-2355.739) [-2338.937] (-2345.387) (-2331.510) -- 0:02:50
827000 -- (-2343.971) (-2337.795) [-2329.918] (-2356.469) * (-2338.221) (-2339.308) [-2331.611] (-2351.959) -- 0:02:49
828000 -- (-2343.760) [-2322.969] (-2358.273) (-2342.832) * [-2325.860] (-2328.391) (-2347.000) (-2353.198) -- 0:02:48
829000 -- (-2345.007) (-2336.820) (-2324.764) [-2325.882] * (-2332.898) [-2334.556] (-2339.482) (-2341.827) -- 0:02:47
830000 -- [-2333.928] (-2361.373) (-2343.486) (-2342.095) * (-2366.558) (-2342.942) (-2345.686) [-2330.238] -- 0:02:46
Average standard deviation of split frequencies: 0.012268
831000 -- [-2336.134] (-2355.140) (-2341.913) (-2352.896) * (-2365.776) (-2350.494) (-2345.036) [-2332.129] -- 0:02:45
832000 -- (-2336.686) (-2329.276) [-2333.984] (-2352.376) * (-2354.553) (-2353.629) (-2345.753) [-2326.291] -- 0:02:44
833000 -- (-2344.528) [-2333.547] (-2340.461) (-2350.508) * (-2334.955) [-2341.146] (-2334.809) (-2345.528) -- 0:02:43
834000 -- (-2364.578) [-2339.593] (-2345.039) (-2354.136) * (-2341.401) (-2329.838) (-2349.168) [-2345.246] -- 0:02:43
835000 -- (-2352.116) (-2340.992) (-2365.247) [-2335.969] * (-2335.360) (-2338.547) (-2353.062) [-2336.601] -- 0:02:42
Average standard deviation of split frequencies: 0.012033
836000 -- (-2351.390) [-2336.391] (-2342.657) (-2347.505) * [-2340.753] (-2370.670) (-2336.377) (-2335.583) -- 0:02:41
837000 -- (-2343.356) (-2341.745) [-2330.688] (-2349.628) * (-2355.914) (-2345.691) [-2331.464] (-2349.618) -- 0:02:40
838000 -- (-2345.700) (-2342.210) [-2325.738] (-2350.936) * (-2339.270) (-2333.129) [-2331.737] (-2355.619) -- 0:02:39
839000 -- (-2339.743) (-2344.993) [-2331.400] (-2334.739) * [-2346.719] (-2334.179) (-2351.753) (-2344.886) -- 0:02:38
840000 -- (-2345.180) (-2340.322) [-2345.693] (-2324.266) * (-2342.520) [-2332.552] (-2350.338) (-2343.421) -- 0:02:37
Average standard deviation of split frequencies: 0.012253
841000 -- (-2340.087) (-2341.077) (-2342.839) [-2325.229] * (-2350.228) [-2343.138] (-2333.949) (-2336.845) -- 0:02:36
842000 -- [-2341.310] (-2341.109) (-2344.745) (-2333.614) * (-2378.139) (-2351.379) [-2338.007] (-2353.800) -- 0:02:35
843000 -- (-2344.117) (-2352.019) (-2333.217) [-2330.303] * (-2371.530) [-2344.031] (-2338.995) (-2347.037) -- 0:02:34
844000 -- (-2344.269) (-2355.736) [-2330.982] (-2338.298) * [-2343.730] (-2343.526) (-2348.871) (-2342.095) -- 0:02:33
845000 -- (-2343.465) (-2355.412) (-2334.924) [-2319.343] * (-2334.060) (-2343.899) [-2340.794] (-2337.356) -- 0:02:32
Average standard deviation of split frequencies: 0.012697
846000 -- (-2341.532) (-2361.566) [-2326.593] (-2336.805) * (-2347.492) [-2343.333] (-2342.875) (-2342.811) -- 0:02:31
847000 -- (-2350.053) (-2357.465) [-2328.795] (-2345.346) * [-2329.915] (-2339.208) (-2358.310) (-2366.483) -- 0:02:30
848000 -- (-2373.628) (-2347.919) [-2320.954] (-2342.065) * [-2331.105] (-2356.481) (-2357.514) (-2335.153) -- 0:02:29
849000 -- [-2342.124] (-2362.519) (-2333.214) (-2337.906) * [-2330.545] (-2348.131) (-2347.772) (-2341.692) -- 0:02:28
850000 -- [-2339.404] (-2367.288) (-2349.588) (-2363.547) * [-2340.262] (-2328.151) (-2334.066) (-2335.764) -- 0:02:27
Average standard deviation of split frequencies: 0.013135
851000 -- (-2334.537) [-2338.123] (-2354.058) (-2353.319) * [-2336.559] (-2335.776) (-2345.515) (-2350.114) -- 0:02:26
852000 -- (-2345.577) (-2330.701) (-2340.962) [-2330.264] * [-2327.529] (-2344.582) (-2343.744) (-2339.178) -- 0:02:25
853000 -- [-2331.802] (-2358.020) (-2348.068) (-2335.401) * (-2340.737) [-2329.651] (-2342.528) (-2338.258) -- 0:02:24
854000 -- (-2340.576) (-2345.500) [-2344.763] (-2344.312) * (-2354.149) (-2340.802) (-2358.808) [-2346.794] -- 0:02:23
855000 -- [-2333.475] (-2341.410) (-2357.429) (-2350.798) * (-2362.252) [-2341.284] (-2388.898) (-2342.716) -- 0:02:22
Average standard deviation of split frequencies: 0.013276
856000 -- (-2338.163) (-2344.826) (-2354.459) [-2342.798] * (-2335.386) (-2339.743) (-2355.722) [-2343.907] -- 0:02:21
857000 -- (-2351.635) (-2327.284) (-2334.646) [-2342.893] * (-2325.169) (-2331.424) [-2334.970] (-2348.735) -- 0:02:20
858000 -- [-2318.677] (-2338.778) (-2350.650) (-2336.445) * (-2338.473) [-2327.749] (-2350.676) (-2346.967) -- 0:02:19
859000 -- [-2349.718] (-2333.609) (-2345.493) (-2349.861) * [-2332.764] (-2340.140) (-2366.227) (-2344.918) -- 0:02:18
860000 -- (-2350.203) [-2329.344] (-2327.645) (-2349.205) * (-2342.054) [-2333.456] (-2345.564) (-2359.785) -- 0:02:17
Average standard deviation of split frequencies: 0.012994
861000 -- (-2352.676) [-2342.743] (-2353.338) (-2351.389) * (-2358.891) (-2325.853) (-2335.539) [-2328.985] -- 0:02:16
862000 -- (-2365.875) [-2335.676] (-2343.701) (-2346.431) * (-2359.934) [-2328.773] (-2341.284) (-2343.754) -- 0:02:15
863000 -- (-2353.197) [-2331.364] (-2345.665) (-2330.772) * (-2350.004) (-2349.723) (-2339.788) [-2325.423] -- 0:02:14
864000 -- (-2335.047) (-2339.336) [-2334.641] (-2342.312) * (-2355.026) [-2344.940] (-2347.804) (-2332.623) -- 0:02:13
865000 -- (-2329.688) (-2341.850) (-2332.937) [-2341.195] * (-2353.335) (-2351.744) [-2335.058] (-2330.571) -- 0:02:12
Average standard deviation of split frequencies: 0.012810
866000 -- (-2367.010) (-2353.330) [-2339.756] (-2333.107) * (-2350.218) (-2365.704) [-2336.566] (-2329.442) -- 0:02:11
867000 -- (-2344.774) (-2361.885) [-2337.296] (-2363.943) * (-2341.655) (-2342.748) [-2331.481] (-2341.777) -- 0:02:10
868000 -- (-2338.371) (-2357.943) (-2349.860) [-2346.248] * [-2342.764] (-2366.601) (-2337.151) (-2339.018) -- 0:02:09
869000 -- (-2342.684) (-2342.383) [-2350.812] (-2363.433) * (-2332.876) (-2336.283) [-2325.724] (-2345.822) -- 0:02:08
870000 -- (-2353.798) (-2352.752) [-2337.364] (-2356.236) * [-2330.066] (-2335.108) (-2334.499) (-2349.442) -- 0:02:07
Average standard deviation of split frequencies: 0.013236
871000 -- (-2361.651) (-2337.814) (-2354.141) [-2350.654] * (-2342.458) [-2337.540] (-2337.860) (-2355.438) -- 0:02:06
872000 -- (-2361.009) [-2321.397] (-2363.653) (-2355.558) * [-2357.085] (-2346.901) (-2336.399) (-2353.789) -- 0:02:05
873000 -- (-2368.658) (-2337.000) (-2362.200) [-2335.772] * [-2351.384] (-2352.392) (-2359.067) (-2343.533) -- 0:02:04
874000 -- (-2351.984) (-2328.269) [-2334.972] (-2346.327) * [-2337.400] (-2344.014) (-2340.539) (-2344.290) -- 0:02:03
875000 -- (-2349.341) (-2348.026) [-2332.979] (-2350.255) * [-2346.358] (-2343.329) (-2341.757) (-2340.714) -- 0:02:02
Average standard deviation of split frequencies: 0.013316
876000 -- (-2345.317) [-2343.408] (-2331.028) (-2345.296) * (-2361.283) (-2350.317) (-2351.850) [-2335.790] -- 0:02:01
877000 -- [-2328.545] (-2330.961) (-2333.215) (-2339.403) * (-2351.444) [-2336.778] (-2339.081) (-2338.661) -- 0:02:00
878000 -- (-2341.037) [-2348.696] (-2322.751) (-2334.887) * (-2345.813) (-2340.901) (-2348.920) [-2332.696] -- 0:01:59
879000 -- [-2329.040] (-2359.364) (-2338.885) (-2331.816) * (-2358.469) [-2327.660] (-2352.640) (-2341.730) -- 0:01:58
880000 -- [-2337.215] (-2332.405) (-2352.334) (-2339.128) * (-2353.849) (-2347.323) [-2347.338] (-2352.074) -- 0:01:57
Average standard deviation of split frequencies: 0.012847
881000 -- [-2320.629] (-2346.015) (-2337.032) (-2359.604) * (-2351.281) [-2351.928] (-2343.259) (-2345.679) -- 0:01:56
882000 -- (-2328.325) (-2346.261) (-2352.220) [-2326.281] * (-2352.648) (-2339.601) (-2339.233) [-2345.904] -- 0:01:55
883000 -- [-2330.509] (-2352.272) (-2358.221) (-2333.737) * (-2329.549) [-2322.521] (-2342.578) (-2355.838) -- 0:01:54
884000 -- (-2337.412) [-2340.953] (-2342.282) (-2342.154) * (-2344.752) [-2327.999] (-2358.071) (-2344.991) -- 0:01:53
885000 -- (-2345.041) (-2340.701) (-2340.888) [-2342.221] * [-2335.820] (-2339.273) (-2359.372) (-2342.875) -- 0:01:52
Average standard deviation of split frequencies: 0.012418
886000 -- [-2346.061] (-2346.485) (-2358.297) (-2344.242) * (-2358.571) (-2355.324) (-2337.927) [-2329.677] -- 0:01:51
887000 -- (-2351.954) (-2339.955) (-2332.484) [-2330.960] * (-2344.729) (-2335.245) (-2337.297) [-2329.678] -- 0:01:50
888000 -- (-2334.696) (-2360.356) [-2334.313] (-2339.642) * (-2345.607) (-2327.397) [-2321.364] (-2358.896) -- 0:01:49
889000 -- [-2342.004] (-2363.166) (-2346.994) (-2344.888) * (-2354.346) (-2321.783) [-2327.366] (-2334.550) -- 0:01:49
890000 -- (-2364.897) (-2347.884) (-2342.261) [-2339.362] * (-2353.847) (-2338.579) (-2331.348) [-2330.092] -- 0:01:48
Average standard deviation of split frequencies: 0.012308
891000 -- (-2368.401) (-2352.044) (-2341.241) [-2338.780] * (-2353.149) (-2337.921) [-2334.268] (-2343.335) -- 0:01:47
892000 -- [-2340.928] (-2359.870) (-2356.630) (-2353.381) * (-2368.842) (-2361.908) [-2330.339] (-2348.409) -- 0:01:46
893000 -- [-2341.808] (-2345.479) (-2334.170) (-2339.048) * (-2352.916) (-2354.521) [-2333.247] (-2357.621) -- 0:01:45
894000 -- (-2341.162) (-2337.821) (-2339.845) [-2333.810] * (-2350.400) (-2342.982) [-2331.334] (-2358.518) -- 0:01:44
895000 -- [-2338.292] (-2354.296) (-2325.976) (-2356.211) * (-2334.805) (-2344.442) [-2344.377] (-2362.965) -- 0:01:43
Average standard deviation of split frequencies: 0.011743
896000 -- (-2345.755) (-2351.703) [-2330.685] (-2334.354) * [-2340.843] (-2355.319) (-2341.398) (-2363.145) -- 0:01:42
897000 -- (-2345.584) [-2347.000] (-2343.659) (-2344.256) * (-2340.932) (-2372.187) (-2359.050) [-2340.161] -- 0:01:41
898000 -- (-2364.628) (-2340.497) [-2328.577] (-2341.992) * (-2338.886) [-2331.763] (-2353.042) (-2328.415) -- 0:01:40
899000 -- (-2338.372) (-2343.748) (-2319.847) [-2340.414] * (-2361.526) [-2336.102] (-2339.046) (-2346.116) -- 0:01:39
900000 -- (-2350.052) (-2349.107) (-2343.440) [-2334.480] * (-2340.079) (-2345.348) (-2360.317) [-2334.521] -- 0:01:38
Average standard deviation of split frequencies: 0.012016
901000 -- (-2327.441) (-2351.189) (-2338.464) [-2335.124] * (-2337.390) [-2339.646] (-2341.241) (-2342.560) -- 0:01:37
902000 -- (-2338.427) [-2341.055] (-2333.446) (-2328.536) * (-2331.742) [-2337.833] (-2338.323) (-2331.917) -- 0:01:36
903000 -- (-2346.154) [-2332.463] (-2339.423) (-2346.077) * (-2343.324) (-2341.094) (-2333.630) [-2325.469] -- 0:01:35
904000 -- (-2352.789) [-2319.973] (-2338.291) (-2368.915) * (-2351.999) (-2347.777) [-2341.911] (-2337.011) -- 0:01:34
905000 -- (-2329.677) [-2340.730] (-2331.576) (-2348.034) * (-2335.639) (-2344.244) [-2339.047] (-2347.325) -- 0:01:33
Average standard deviation of split frequencies: 0.011480
906000 -- [-2341.348] (-2345.421) (-2338.447) (-2353.192) * (-2339.629) [-2337.514] (-2375.072) (-2341.138) -- 0:01:32
907000 -- [-2343.985] (-2337.525) (-2343.082) (-2336.657) * (-2340.180) (-2330.584) (-2364.611) [-2346.866] -- 0:01:31
908000 -- (-2346.215) (-2341.151) (-2328.339) [-2341.079] * [-2346.562] (-2320.722) (-2334.509) (-2335.977) -- 0:01:30
909000 -- (-2344.493) (-2352.049) (-2346.638) [-2341.224] * [-2334.018] (-2336.688) (-2343.524) (-2344.575) -- 0:01:29
910000 -- (-2348.843) (-2341.882) [-2327.517] (-2355.101) * [-2327.875] (-2343.603) (-2338.947) (-2346.357) -- 0:01:28
Average standard deviation of split frequencies: 0.011245
911000 -- (-2339.361) [-2340.112] (-2340.594) (-2348.460) * (-2346.988) (-2360.141) [-2331.328] (-2332.893) -- 0:01:27
912000 -- (-2343.529) [-2336.641] (-2330.656) (-2357.572) * (-2352.087) (-2344.885) (-2340.146) [-2332.008] -- 0:01:26
913000 -- [-2345.067] (-2329.582) (-2340.930) (-2350.874) * [-2351.668] (-2340.047) (-2340.173) (-2343.916) -- 0:01:25
914000 -- (-2335.593) [-2344.886] (-2346.404) (-2357.278) * [-2345.864] (-2355.194) (-2341.835) (-2349.100) -- 0:01:24
915000 -- [-2336.514] (-2325.844) (-2357.285) (-2347.836) * (-2358.835) [-2319.852] (-2345.003) (-2349.715) -- 0:01:23
Average standard deviation of split frequencies: 0.010917
916000 -- (-2327.075) (-2330.212) (-2367.693) [-2342.112] * (-2345.221) [-2328.680] (-2353.761) (-2336.434) -- 0:01:22
917000 -- [-2343.533] (-2335.416) (-2337.160) (-2344.128) * (-2332.804) [-2329.337] (-2363.043) (-2343.552) -- 0:01:21
918000 -- (-2358.005) (-2339.503) (-2343.457) [-2327.147] * [-2331.792] (-2338.167) (-2353.631) (-2354.059) -- 0:01:20
919000 -- (-2352.200) [-2347.401] (-2357.964) (-2345.743) * [-2328.779] (-2331.316) (-2347.394) (-2343.151) -- 0:01:19
920000 -- [-2342.817] (-2344.527) (-2362.605) (-2337.398) * (-2348.685) (-2336.628) (-2337.603) [-2347.130] -- 0:01:18
Average standard deviation of split frequencies: 0.010894
921000 -- (-2343.381) (-2338.039) (-2361.163) [-2340.875] * (-2350.122) (-2351.916) (-2345.544) [-2343.537] -- 0:01:17
922000 -- [-2327.316] (-2339.071) (-2326.964) (-2355.205) * (-2347.899) [-2330.881] (-2338.302) (-2367.176) -- 0:01:16
923000 -- (-2334.284) (-2346.349) (-2336.676) [-2341.828] * [-2342.221] (-2354.479) (-2336.240) (-2342.348) -- 0:01:15
924000 -- (-2348.029) (-2323.830) (-2333.428) [-2338.847] * (-2343.847) [-2337.688] (-2338.637) (-2351.851) -- 0:01:14
925000 -- (-2335.035) (-2329.495) (-2333.932) [-2344.464] * (-2342.518) [-2357.157] (-2343.321) (-2337.801) -- 0:01:13
Average standard deviation of split frequencies: 0.010777
926000 -- (-2334.544) (-2344.980) [-2336.155] (-2339.852) * (-2331.092) [-2341.106] (-2337.741) (-2363.182) -- 0:01:12
927000 -- [-2332.812] (-2357.402) (-2352.266) (-2344.022) * (-2344.924) (-2342.441) [-2325.736] (-2355.225) -- 0:01:11
928000 -- [-2322.761] (-2335.463) (-2338.920) (-2347.612) * (-2326.777) [-2331.374] (-2364.093) (-2339.109) -- 0:01:10
929000 -- (-2366.677) (-2373.488) [-2332.114] (-2335.155) * (-2341.454) [-2329.895] (-2341.921) (-2352.679) -- 0:01:09
930000 -- (-2356.087) [-2341.681] (-2358.465) (-2349.923) * [-2330.878] (-2337.806) (-2344.035) (-2369.327) -- 0:01:08
Average standard deviation of split frequencies: 0.010335
931000 -- (-2355.081) (-2338.006) (-2356.638) [-2342.999] * [-2333.580] (-2354.918) (-2345.352) (-2355.083) -- 0:01:07
932000 -- (-2370.476) (-2343.632) [-2341.438] (-2331.645) * (-2367.130) [-2344.793] (-2337.589) (-2339.823) -- 0:01:06
933000 -- (-2352.255) [-2322.059] (-2339.288) (-2338.005) * [-2342.812] (-2352.316) (-2329.613) (-2345.756) -- 0:01:05
934000 -- (-2342.834) (-2333.729) (-2336.305) [-2325.866] * (-2350.350) (-2354.194) (-2345.404) [-2338.622] -- 0:01:04
935000 -- (-2354.502) (-2343.688) [-2339.940] (-2346.254) * (-2334.930) (-2361.443) [-2342.761] (-2339.332) -- 0:01:03
Average standard deviation of split frequencies: 0.010223
936000 -- [-2341.404] (-2346.395) (-2351.312) (-2358.507) * [-2333.064] (-2355.653) (-2338.984) (-2330.707) -- 0:01:02
937000 -- (-2350.047) [-2332.805] (-2335.617) (-2352.378) * (-2352.546) (-2342.021) (-2332.317) [-2334.042] -- 0:01:01
938000 -- (-2365.721) (-2335.635) (-2336.513) [-2344.792] * [-2343.103] (-2339.018) (-2340.186) (-2351.416) -- 0:01:00
939000 -- (-2354.620) [-2328.848] (-2331.731) (-2340.937) * (-2326.756) (-2346.271) (-2353.637) [-2356.503] -- 0:00:59
940000 -- [-2333.155] (-2350.724) (-2339.263) (-2348.979) * [-2331.561] (-2361.613) (-2341.409) (-2365.126) -- 0:00:58
Average standard deviation of split frequencies: 0.010193
941000 -- (-2361.227) [-2338.399] (-2345.221) (-2348.851) * (-2342.265) (-2347.888) [-2332.677] (-2333.172) -- 0:00:57
942000 -- (-2357.687) (-2345.933) (-2343.657) [-2337.738] * (-2331.738) (-2366.526) (-2351.275) [-2323.500] -- 0:00:56
943000 -- (-2346.578) (-2347.313) (-2354.579) [-2331.173] * (-2335.689) (-2357.028) (-2339.369) [-2336.247] -- 0:00:55
944000 -- (-2331.002) [-2342.270] (-2341.089) (-2342.330) * (-2338.727) (-2356.776) [-2347.348] (-2325.325) -- 0:00:54
945000 -- (-2322.185) (-2347.457) (-2351.662) [-2325.845] * [-2328.823] (-2352.143) (-2352.181) (-2349.170) -- 0:00:54
Average standard deviation of split frequencies: 0.009987
946000 -- (-2335.755) (-2359.871) (-2343.080) [-2329.542] * (-2344.251) (-2360.276) (-2341.539) [-2331.964] -- 0:00:53
947000 -- (-2346.806) [-2331.316] (-2354.840) (-2345.892) * (-2328.914) (-2352.880) [-2327.490] (-2355.928) -- 0:00:52
948000 -- (-2338.209) [-2345.569] (-2345.496) (-2337.140) * (-2339.684) (-2354.155) (-2354.511) [-2342.127] -- 0:00:51
949000 -- (-2327.743) (-2353.451) [-2329.250] (-2329.089) * (-2359.169) (-2338.172) (-2347.551) [-2355.499] -- 0:00:50
950000 -- (-2351.518) [-2348.349] (-2339.788) (-2328.681) * (-2345.217) (-2352.941) [-2349.372] (-2366.224) -- 0:00:49
Average standard deviation of split frequencies: 0.009907
951000 -- (-2356.270) (-2348.202) (-2353.157) [-2335.137] * (-2334.097) [-2339.611] (-2340.818) (-2362.380) -- 0:00:48
952000 -- [-2336.175] (-2364.445) (-2347.870) (-2356.002) * (-2320.953) (-2345.176) [-2332.630] (-2348.349) -- 0:00:47
953000 -- (-2326.847) (-2342.155) [-2331.058] (-2365.976) * [-2338.213] (-2339.622) (-2328.704) (-2350.880) -- 0:00:46
954000 -- (-2344.723) [-2348.186] (-2333.756) (-2355.347) * (-2360.493) (-2359.207) (-2330.697) [-2328.445] -- 0:00:45
955000 -- (-2346.316) (-2357.198) (-2329.308) [-2339.610] * (-2342.256) (-2341.086) [-2340.453] (-2338.993) -- 0:00:44
Average standard deviation of split frequencies: 0.009862
956000 -- (-2353.569) (-2344.005) (-2341.821) [-2327.723] * (-2337.406) (-2343.278) (-2342.434) [-2336.914] -- 0:00:43
957000 -- (-2342.781) [-2352.773] (-2342.642) (-2343.370) * (-2340.537) [-2347.247] (-2333.299) (-2351.192) -- 0:00:42
958000 -- (-2360.435) [-2342.947] (-2354.353) (-2329.561) * [-2341.359] (-2341.833) (-2359.958) (-2347.539) -- 0:00:41
959000 -- (-2345.870) [-2346.742] (-2354.844) (-2336.835) * (-2348.070) [-2323.340] (-2357.436) (-2341.867) -- 0:00:40
960000 -- (-2359.143) [-2348.661] (-2356.363) (-2333.556) * [-2338.615] (-2335.553) (-2345.784) (-2357.875) -- 0:00:39
Average standard deviation of split frequencies: 0.009898
961000 -- (-2366.337) [-2335.040] (-2343.454) (-2342.013) * [-2343.982] (-2335.499) (-2351.211) (-2337.279) -- 0:00:38
962000 -- (-2345.325) (-2339.344) (-2336.899) [-2344.391] * (-2353.744) (-2327.222) (-2362.440) [-2338.354] -- 0:00:37
963000 -- (-2337.982) (-2348.563) (-2344.087) [-2337.024] * [-2332.165] (-2330.412) (-2362.970) (-2358.726) -- 0:00:36
964000 -- [-2328.236] (-2329.690) (-2356.451) (-2344.856) * [-2333.862] (-2334.660) (-2340.569) (-2355.319) -- 0:00:35
965000 -- (-2334.754) [-2341.256] (-2346.036) (-2342.453) * (-2341.897) (-2339.479) (-2349.067) [-2333.208] -- 0:00:34
Average standard deviation of split frequencies: 0.009843
966000 -- (-2358.584) (-2333.417) [-2337.311] (-2356.956) * (-2362.340) (-2347.907) (-2352.858) [-2343.173] -- 0:00:33
967000 -- [-2344.371] (-2351.454) (-2347.887) (-2330.866) * (-2351.941) (-2350.164) [-2334.717] (-2360.828) -- 0:00:32
968000 -- (-2328.779) (-2360.133) (-2352.386) [-2340.438] * (-2353.761) (-2336.944) [-2343.206] (-2344.834) -- 0:00:31
969000 -- [-2348.606] (-2344.897) (-2342.587) (-2347.845) * (-2367.239) (-2341.293) [-2351.820] (-2338.486) -- 0:00:30
970000 -- (-2358.032) [-2343.784] (-2358.876) (-2347.267) * (-2354.535) [-2338.061] (-2361.091) (-2338.950) -- 0:00:29
Average standard deviation of split frequencies: 0.009827
971000 -- (-2347.122) [-2331.555] (-2337.245) (-2340.985) * [-2321.277] (-2329.052) (-2359.209) (-2344.339) -- 0:00:28
972000 -- (-2358.234) (-2344.537) [-2335.808] (-2356.360) * (-2336.648) [-2338.810] (-2339.958) (-2356.612) -- 0:00:27
973000 -- (-2352.826) [-2335.277] (-2346.578) (-2359.686) * (-2337.820) (-2334.845) (-2364.699) [-2337.871] -- 0:00:26
974000 -- (-2364.493) (-2347.065) [-2327.605] (-2358.440) * (-2336.016) [-2321.967] (-2340.920) (-2338.121) -- 0:00:25
975000 -- (-2356.977) (-2331.528) (-2329.772) [-2336.512] * (-2350.796) [-2338.451] (-2338.855) (-2338.230) -- 0:00:24
Average standard deviation of split frequencies: 0.009886
976000 -- (-2339.044) (-2347.014) (-2339.351) [-2332.244] * (-2339.791) [-2327.764] (-2335.676) (-2346.514) -- 0:00:23
977000 -- (-2348.697) (-2339.018) (-2338.436) [-2338.706] * (-2355.542) [-2328.985] (-2361.242) (-2334.695) -- 0:00:22
978000 -- (-2353.354) [-2346.265] (-2316.544) (-2333.654) * (-2354.841) [-2324.498] (-2333.992) (-2354.496) -- 0:00:21
979000 -- (-2350.760) [-2336.567] (-2355.577) (-2346.439) * (-2351.091) [-2341.000] (-2333.780) (-2355.910) -- 0:00:20
980000 -- (-2360.531) (-2342.941) (-2340.826) [-2346.057] * (-2358.934) (-2356.374) (-2342.410) [-2336.272] -- 0:00:19
Average standard deviation of split frequencies: 0.009859
981000 -- (-2341.914) (-2352.123) (-2352.296) [-2332.671] * [-2344.869] (-2332.808) (-2336.624) (-2349.248) -- 0:00:18
982000 -- (-2344.127) (-2341.967) [-2336.100] (-2338.700) * (-2354.177) (-2323.670) [-2323.025] (-2361.071) -- 0:00:17
983000 -- (-2338.104) (-2346.838) (-2346.607) [-2335.877] * (-2340.375) [-2329.090] (-2336.104) (-2348.691) -- 0:00:16
984000 -- [-2331.219] (-2347.650) (-2352.564) (-2337.611) * (-2354.744) (-2332.513) (-2340.898) [-2350.624] -- 0:00:15
985000 -- (-2355.536) [-2335.535] (-2327.478) (-2335.958) * (-2362.886) (-2347.509) [-2336.635] (-2351.313) -- 0:00:14
Average standard deviation of split frequencies: 0.009613
986000 -- (-2346.507) [-2328.721] (-2339.663) (-2353.831) * (-2340.776) (-2333.122) (-2343.696) [-2334.784] -- 0:00:13
987000 -- [-2339.410] (-2336.323) (-2353.033) (-2343.371) * (-2364.898) (-2361.859) (-2339.963) [-2333.336] -- 0:00:12
988000 -- (-2332.785) [-2329.445] (-2377.191) (-2333.812) * (-2334.120) [-2330.843] (-2351.081) (-2366.000) -- 0:00:11
989000 -- (-2350.674) (-2334.231) (-2351.088) [-2330.212] * (-2341.868) (-2347.281) (-2357.229) [-2339.945] -- 0:00:10
990000 -- (-2353.430) [-2330.220] (-2367.292) (-2333.233) * (-2340.133) (-2336.228) (-2361.518) [-2349.930] -- 0:00:09
Average standard deviation of split frequencies: 0.009456
991000 -- (-2348.187) (-2336.088) (-2342.794) [-2342.533] * [-2330.890] (-2332.872) (-2355.896) (-2358.282) -- 0:00:08
992000 -- (-2320.157) (-2325.850) [-2341.494] (-2356.936) * [-2344.415] (-2354.180) (-2361.988) (-2331.992) -- 0:00:07
993000 -- (-2327.919) (-2347.161) [-2340.166] (-2339.848) * (-2333.040) (-2333.516) (-2354.327) [-2329.855] -- 0:00:06
994000 -- (-2332.697) (-2356.093) [-2337.546] (-2344.809) * [-2332.602] (-2355.258) (-2354.113) (-2343.987) -- 0:00:05
995000 -- (-2352.248) [-2343.358] (-2365.526) (-2345.787) * (-2342.486) (-2333.562) (-2336.861) [-2337.120] -- 0:00:04
Average standard deviation of split frequencies: 0.009406
996000 -- (-2346.258) [-2335.628] (-2337.359) (-2364.823) * (-2346.601) [-2344.640] (-2337.071) (-2343.138) -- 0:00:03
997000 -- [-2331.441] (-2367.870) (-2348.076) (-2332.262) * (-2338.442) (-2370.855) (-2343.986) [-2352.914] -- 0:00:02
998000 -- [-2337.237] (-2333.761) (-2340.571) (-2329.387) * (-2346.693) (-2354.377) [-2338.616] (-2335.543) -- 0:00:01
999000 -- [-2341.207] (-2347.820) (-2355.938) (-2329.276) * [-2345.322] (-2334.328) (-2367.485) (-2346.051) -- 0:00:00
1000000 -- (-2323.910) (-2341.372) [-2332.130] (-2340.354) * (-2358.660) (-2336.851) [-2332.606] (-2332.967) -- 0:00:00
Average standard deviation of split frequencies: 0.008840
Analysis completed in 16 mins 22 seconds
Analysis used 981.43 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -2311.65
Likelihood of best state for "cold" chain of run 2 was -2311.13
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
46.3 % ( 33 %) Dirichlet(Revmat{all})
64.2 % ( 48 %) Slider(Revmat{all})
25.0 % ( 30 %) Dirichlet(Pi{all})
27.5 % ( 22 %) Slider(Pi{all})
45.5 % ( 28 %) Multiplier(Alpha{1,2})
54.9 % ( 31 %) Multiplier(Alpha{3})
71.2 % ( 57 %) Slider(Pinvar{all})
41.1 % ( 36 %) ExtSPR(Tau{all},V{all})
29.2 % ( 40 %) ExtTBR(Tau{all},V{all})
47.3 % ( 52 %) NNI(Tau{all},V{all})
35.2 % ( 39 %) ParsSPR(Tau{all},V{all})
27.3 % ( 27 %) Multiplier(V{all})
60.0 % ( 64 %) Nodeslider(V{all})
25.0 % ( 26 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
46.7 % ( 43 %) Dirichlet(Revmat{all})
63.6 % ( 57 %) Slider(Revmat{all})
25.2 % ( 28 %) Dirichlet(Pi{all})
28.0 % ( 16 %) Slider(Pi{all})
45.0 % ( 26 %) Multiplier(Alpha{1,2})
55.1 % ( 25 %) Multiplier(Alpha{3})
72.6 % ( 53 %) Slider(Pinvar{all})
41.2 % ( 34 %) ExtSPR(Tau{all},V{all})
29.2 % ( 32 %) ExtTBR(Tau{all},V{all})
47.4 % ( 49 %) NNI(Tau{all},V{all})
34.9 % ( 36 %) ParsSPR(Tau{all},V{all})
27.2 % ( 24 %) Multiplier(V{all})
60.3 % ( 61 %) Nodeslider(V{all})
25.2 % ( 34 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.58 0.29 0.13
2 | 166943 0.61 0.33
3 | 166714 166683 0.64
4 | 166634 166353 166673
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.59 0.29 0.13
2 | 166638 0.61 0.32
3 | 166571 166837 0.63
4 | 166939 166585 166430
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)
+------------------------------------------------------------+ -2330.47
| 1 |
| 2 |
| 1 1 |
| 2 2 2 2 |
| 2 2 12 2 1 2 |
| 1 1 2 11 1 2 1 12 |
|1 1 2 1 22 2 * 12 1 1 11 1 1 1 |
|21 2 2 1 21 2 1 2 1 2 2 2222 1|
| 2 1 * 1 1 12 2 1 1 2 1 |
| 1 2 1 1 12 * * 2 1 1 |
| 2 11 1 2 1 11 1 2 2 11 2|
| 21 1 2 2 1 * 2 2 * |
| 2 2 |
| 2 2 |
| 2 2 2 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -2341.82
^ ^
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 -2319.19 -2358.32
2 -2320.91 -2360.13
--------------------------------------
TOTAL -2319.72 -2359.59
--------------------------------------
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} 0.567862 0.003891 0.450441 0.689985 0.564593 849.14 919.02 1.000
r(A<->C){all} 0.101913 0.000712 0.053505 0.156738 0.100322 850.87 853.38 1.000
r(A<->G){all} 0.184293 0.000852 0.131653 0.242626 0.183000 829.83 877.56 1.000
r(A<->T){all} 0.089493 0.000321 0.055139 0.124121 0.088678 824.11 896.59 1.000
r(C<->G){all} 0.063870 0.000778 0.011581 0.116372 0.060502 562.59 680.75 1.000
r(C<->T){all} 0.458655 0.001774 0.375652 0.539560 0.457657 751.62 752.91 1.000
r(G<->T){all} 0.101775 0.000482 0.059560 0.142753 0.100686 794.92 795.22 1.000
pi(A){all} 0.303582 0.000217 0.274904 0.331619 0.303681 890.14 1042.24 1.000
pi(C){all} 0.158220 0.000122 0.137643 0.179765 0.157769 1005.07 1073.52 1.001
pi(G){all} 0.207568 0.000165 0.183798 0.233939 0.207689 1022.93 1067.08 1.000
pi(T){all} 0.330630 0.000218 0.302531 0.359823 0.330450 723.44 859.80 1.000
alpha{1,2} 0.489513 0.052225 0.200365 0.895750 0.436430 1059.33 1139.29 1.000
alpha{3} 3.040201 1.891544 1.009189 5.799724 2.742345 1172.07 1327.75 1.000
pinvar{all} 0.094890 0.005085 0.000071 0.234344 0.081174 1281.51 1345.65 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 -- C180
2 -- C258
3 -- C44
4 -- C118
5 -- C192
6 -- C223
7 -- C282
8 -- C28
9 -- C38
10 -- C47
11 -- C17
12 -- C59
13 -- C172
14 -- C103
15 -- C113
16 -- C29
17 -- C49
18 -- C115
19 -- C57
20 -- C122
21 -- C64
22 -- C69
23 -- C36
24 -- C71
25 -- C76
26 -- C135
27 -- C134
28 -- C3
29 -- C83
30 -- C53
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 -- .*...*.............*.....**...
------------------------------------
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 2999 0.999001 0.000471 0.998668 0.999334 2
32 2998 0.998668 0.000000 0.998668 0.998668 2
33 2991 0.996336 0.002355 0.994670 0.998001 2
34 2977 0.991672 0.000471 0.991339 0.992005 2
35 2933 0.977015 0.000471 0.976682 0.977348 2
36 2721 0.906396 0.022141 0.890740 0.922052 2
37 2667 0.888408 0.001413 0.887408 0.889407 2
38 2620 0.872751 0.020728 0.858095 0.887408 2
39 2581 0.859760 0.022141 0.844104 0.875416 2
40 2556 0.851432 0.026381 0.832778 0.870087 2
41 2501 0.833111 0.001413 0.832112 0.834111 2
42 2408 0.802132 0.000000 0.802132 0.802132 2
43 2377 0.791805 0.008009 0.786143 0.797468 2
44 2151 0.716522 0.001413 0.715523 0.717522 2
45 2072 0.690207 0.010364 0.682878 0.697535 2
46 1549 0.515989 0.001413 0.514990 0.516989 2
47 1006 0.335110 0.015075 0.324450 0.345769 2
48 1000 0.333111 0.032976 0.309793 0.356429 2
49 995 0.331446 0.017430 0.319121 0.343771 2
50 639 0.212858 0.005182 0.209194 0.216522 2
51 628 0.209194 0.016017 0.197868 0.220520 2
52 618 0.205863 0.004711 0.202532 0.209194 2
53 617 0.205530 0.008009 0.199867 0.211193 2
54 612 0.203864 0.003769 0.201199 0.206529 2
55 611 0.203531 0.004240 0.200533 0.206529 2
56 609 0.202865 0.021199 0.187875 0.217855 2
57 599 0.199534 0.000471 0.199201 0.199867 2
58 594 0.197868 0.016017 0.186542 0.209194 2
59 589 0.196203 0.006124 0.191872 0.200533 2
60 586 0.195203 0.000942 0.194537 0.195869 2
61 584 0.194537 0.009422 0.187875 0.201199 2
62 578 0.192538 0.014133 0.182545 0.202532 2
63 568 0.189207 0.016959 0.177215 0.201199 2
64 564 0.187875 0.000942 0.187209 0.188541 2
65 564 0.187875 0.008480 0.181879 0.193871 2
66 553 0.184211 0.003298 0.181879 0.186542 2
67 550 0.183211 0.000942 0.182545 0.183877 2
68 545 0.181546 0.016488 0.169887 0.193205 2
69 539 0.179547 0.001413 0.178548 0.180546 2
70 532 0.177215 0.005653 0.173218 0.181213 2
71 526 0.175217 0.002827 0.173218 0.177215 2
72 508 0.169221 0.000942 0.168554 0.169887 2
73 474 0.157895 0.000942 0.157229 0.158561 2
74 469 0.156229 0.002355 0.154564 0.157895 2
75 436 0.145237 0.006595 0.140573 0.149900 2
76 383 0.127582 0.032505 0.104597 0.150566 2
77 261 0.086942 0.020257 0.072618 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] 0.002295 0.000003 0.000018 0.005503 0.001957 1.000 2
length{all}[2] 0.002384 0.000003 0.000003 0.005697 0.002012 1.000 2
length{all}[3] 0.002285 0.000003 0.000034 0.005396 0.001895 1.000 2
length{all}[4] 0.002292 0.000002 0.000052 0.005352 0.001962 1.000 2
length{all}[5] 0.001192 0.000001 0.000001 0.003702 0.000836 1.000 2
length{all}[6] 0.371094 0.002861 0.279133 0.484231 0.366970 1.001 2
length{all}[7] 0.003498 0.000004 0.000366 0.007611 0.003101 1.000 2
length{all}[8] 0.002318 0.000003 0.000113 0.005449 0.001940 1.000 2
length{all}[9] 0.001147 0.000001 0.000000 0.003404 0.000809 1.000 2
length{all}[10] 0.001105 0.000001 0.000001 0.003376 0.000758 1.000 2
length{all}[11] 0.009285 0.000012 0.003407 0.016278 0.008936 1.000 2
length{all}[12] 0.005784 0.000007 0.001295 0.010908 0.005392 1.001 2
length{all}[13] 0.001278 0.000002 0.000000 0.003752 0.000886 1.000 2
length{all}[14] 0.001153 0.000001 0.000001 0.003599 0.000767 1.000 2
length{all}[15] 0.002318 0.000003 0.000031 0.005573 0.001915 1.000 2
length{all}[16] 0.001131 0.000001 0.000000 0.003315 0.000787 1.001 2
length{all}[17] 0.001115 0.000001 0.000000 0.003500 0.000751 1.000 2
length{all}[18] 0.001165 0.000001 0.000000 0.003448 0.000801 1.000 2
length{all}[19] 0.001183 0.000001 0.000000 0.003570 0.000807 1.001 2
length{all}[20] 0.002364 0.000003 0.000060 0.005569 0.002025 1.000 2
length{all}[21] 0.001123 0.000001 0.000000 0.003233 0.000792 1.002 2
length{all}[22] 0.002303 0.000003 0.000039 0.005455 0.001956 1.000 2
length{all}[23] 0.001157 0.000001 0.000000 0.003547 0.000789 1.000 2
length{all}[24] 0.004609 0.000006 0.000845 0.009404 0.004175 1.000 2
length{all}[25] 0.009646 0.000013 0.003583 0.016614 0.009155 1.000 2
length{all}[26] 0.001175 0.000001 0.000000 0.003612 0.000820 1.000 2
length{all}[27] 0.001179 0.000001 0.000000 0.003658 0.000792 1.000 2
length{all}[28] 0.001187 0.000001 0.000000 0.003560 0.000820 1.000 2
length{all}[29] 0.002300 0.000003 0.000127 0.005584 0.001961 1.000 2
length{all}[30] 0.001184 0.000001 0.000000 0.003587 0.000806 1.002 2
length{all}[31] 0.016136 0.000024 0.007236 0.026228 0.015782 1.000 2
length{all}[32] 0.006875 0.000008 0.002252 0.012744 0.006510 1.000 2
length{all}[33] 0.003610 0.000005 0.000346 0.007883 0.003190 1.000 2
length{all}[34] 0.005829 0.000007 0.001499 0.010928 0.005484 1.000 2
length{all}[35] 0.002306 0.000003 0.000008 0.005540 0.001883 1.001 2
length{all}[36] 0.002297 0.000003 0.000038 0.005529 0.001900 1.000 2
length{all}[37] 0.002281 0.000003 0.000009 0.005249 0.001928 1.000 2
length{all}[38] 0.005736 0.000008 0.001044 0.011526 0.005240 1.000 2
length{all}[39] 0.002377 0.000003 0.000000 0.005734 0.001988 1.000 2
length{all}[40] 0.032402 0.000208 0.007917 0.060678 0.030394 1.000 2
length{all}[41] 0.003464 0.000004 0.000404 0.007414 0.003125 1.000 2
length{all}[42] 0.003779 0.000005 0.000201 0.007986 0.003371 1.000 2
length{all}[43] 0.029059 0.000207 0.002219 0.056305 0.026532 1.001 2
length{all}[44] 0.003569 0.000005 0.000284 0.007887 0.003201 1.003 2
length{all}[45] 0.002289 0.000003 0.000012 0.005729 0.001901 1.000 2
length{all}[46] 0.001863 0.000003 0.000001 0.005097 0.001425 0.999 2
length{all}[47] 0.001137 0.000001 0.000003 0.003194 0.000794 1.001 2
length{all}[48] 0.001144 0.000001 0.000001 0.003468 0.000786 0.999 2
length{all}[49] 0.001187 0.000001 0.000003 0.003473 0.000792 0.999 2
length{all}[50] 0.001150 0.000001 0.000004 0.003642 0.000799 1.000 2
length{all}[51] 0.001193 0.000001 0.000000 0.003399 0.000877 0.999 2
length{all}[52] 0.001181 0.000002 0.000002 0.003686 0.000769 1.000 2
length{all}[53] 0.002292 0.000003 0.000003 0.005395 0.001948 0.998 2
length{all}[54] 0.001130 0.000001 0.000001 0.003590 0.000810 0.999 2
length{all}[55] 0.001148 0.000001 0.000001 0.003467 0.000780 1.003 2
length{all}[56] 0.001182 0.000001 0.000004 0.003383 0.000883 1.000 2
length{all}[57] 0.003770 0.000005 0.000329 0.007862 0.003413 0.999 2
length{all}[58] 0.001184 0.000001 0.000000 0.003418 0.000846 0.998 2
length{all}[59] 0.001218 0.000001 0.000007 0.003675 0.000860 0.999 2
length{all}[60] 0.001131 0.000001 0.000001 0.003208 0.000765 1.000 2
length{all}[61] 0.001167 0.000001 0.000000 0.003340 0.000855 1.002 2
length{all}[62] 0.001159 0.000001 0.000002 0.003439 0.000857 1.002 2
length{all}[63] 0.001194 0.000001 0.000005 0.003303 0.000857 0.999 2
length{all}[64] 0.001193 0.000001 0.000000 0.003485 0.000837 0.998 2
length{all}[65] 0.001198 0.000001 0.000000 0.003701 0.000874 1.001 2
length{all}[66] 0.003423 0.000004 0.000312 0.007452 0.003057 0.998 2
length{all}[67] 0.001185 0.000002 0.000000 0.003894 0.000795 0.999 2
length{all}[68] 0.001246 0.000002 0.000006 0.003840 0.000776 1.008 2
length{all}[69] 0.001289 0.000002 0.000001 0.003995 0.000864 0.998 2
length{all}[70] 0.001206 0.000002 0.000002 0.003373 0.000851 0.998 2
length{all}[71] 0.001168 0.000001 0.000001 0.003341 0.000775 0.998 2
length{all}[72] 0.001170 0.000001 0.000001 0.003718 0.000791 0.998 2
length{all}[73] 0.001639 0.000002 0.000010 0.004507 0.001269 0.998 2
length{all}[74] 0.001183 0.000001 0.000008 0.003635 0.000894 1.000 2
length{all}[75] 0.001225 0.000002 0.000003 0.003628 0.000836 1.002 2
length{all}[76] 0.005693 0.000009 0.000912 0.011510 0.005264 1.001 2
length{all}[77] 0.002340 0.000003 0.000166 0.005212 0.001936 0.997 2
-------------------------------------------------------------------------------------------
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge. NA is reported when
deviation of parameter values within all runs is 0 or when a parameter
value (a branch length, for instance) is not sampled in all runs.
Summary statistics for partitions with frequency >= 0.10 in at least one run:
Average standard deviation of split frequencies = 0.008840
Maximum standard deviation of split frequencies = 0.032976
Average PSRF for parameter values (excluding NA and >10.0) = 1.000
Maximum PSRF for parameter values = 1.008
Clade credibility values:
/--------------------------------------------------------------------- C180 (1)
|
|--------------------------------------------------------------------- C44 (3)
|
|--------------------------------------------------------------------- C38 (9)
|
|--------------------------------------------------------------------- C49 (17)
|
|--------------------------------------------------------------------- C69 (22)
|
|--------------------------------------------------------------------- C36 (23)
|
|--------------------------------------------------------------------- C3 (28)
|
| /--------------- C172 (13)
| |
| | /-------- C103 (14)
|--------------------------89-------------------------+ |
| | |-------- C113 (15)
| \--100-+
| |-------- C64 (21)
| |
| \-------- C83 (29)
|
| /--------------- C258 (2)
| |
| /---86--+ /-------- C135 (26)
| | \--100-+
+ /---91--+ \-------- C134 (27)
| | |
| | \----------------------- C122 (20)
| |
| |------------------------------- C282 (7)
| |
| /--87--+ /-------- C28 (8)
| | | |
| | |----------100---------+-------- C47 (10)
| | | |
| | | \-------- C29 (16)
| | |
| | \------------------------------- C59 (12)
| |
| /---85--+ /-------- C118 (4)
| | | /--98--+
| | | | \-------- C115 (18)
| | | /---99--+
| | | | \--------------- C57 (19)
| /---79--+ | /---52--+
| | | | | \----------------------- C71 (24)
| | | \--72--+
| | | \------------------------------- C76 (25)
| /--80--+ |
| | | \---------------------------------------------- C223 (6)
| | |
| | | /-------- C192 (5)
\---83--+ \----------------------69---------------------+
| \-------- C17 (11)
|
\------------------------------------------------------------- C53 (30)
Phylogram (based on average branch lengths):
/ C180 (1)
|
| C44 (3)
|
| C38 (9)
|
| C49 (17)
|
| C69 (22)
|
| C36 (23)
|
| C3 (28)
|
| C172 (13)
|
|/ C103 (14)
||
|| C113 (15)
|+
|| C64 (21)
||
|\ C83 (29)
|
| / C258 (2)
| |
| /+ /- C135 (26)
| |\-+
+ | \- C134 (27)
| |
| |- C122 (20)
| |
| |- C282 (7)
| |
| /+/ C28 (8)
| |||
| ||+ C47 (10)
| |||
| ||\ C29 (16)
| ||
| |\- C59 (12)
| |
| /----+ /- C118 (4)
| | | |
| | | | C115 (18)
| | |/+
| | ||\ C57 (19)
|/----+ ||
|| | ||- C71 (24)
|| | \+
|| | \- C76 (25)
|| |
|| \---------------------------------------------------------------- C223 (6)
||
||- C192 (5)
\+
|-- C17 (11)
|
\ C53 (30)
|-------| 0.050 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 14:39:14 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10631_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Sat Nov 19 06:00:51 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10631_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/codeml,DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10631_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 C103 834 sites
reading seq# 2 C29 834 sites
reading seq# 3 C113 834 sites
reading seq# 4 C17 834 sites
reading seq# 5 C115 834 sites
reading seq# 6 C49 834 sites
reading seq# 7 C57 834 sites
reading seq# 8 C172 834 sites
reading seq# 9 C3 834 sites
reading seq#10 C122 834 sites
reading seq#11 C258 834 sites
reading seq#12 C180 834 sites
reading seq#13 C44 834 sites
reading seq#14 C64 834 sites
reading seq#15 C69 834 sites
reading seq#16 C192 834 sites
reading seq#17 C118 834 sites
reading seq#18 C223 834 sites
reading seq#19 C71 834 sites
reading seq#20 C36 834 sites
reading seq#21 C28 834 sites
reading seq#22 C282 834 sites
reading seq#23 C135 834 sites
reading seq#24 C134 834 sites
reading seq#25 C76 834 sites
reading seq#26 C47 834 sites
reading seq#27 C38 834 sites
reading seq#28 C53 834 sites
reading seq#29 C83 834 sites
reading seq#30 C59 834 sitesns = 30 ls = 834
Reading sequences, sequential format..
Reading seq # 1: C103
Reading seq # 2: C29
Reading seq # 3: C113
Reading seq # 4: C17
Reading seq # 5: C115
Reading seq # 6: C49
Reading seq # 7: C57
Reading seq # 8: C172
Reading seq # 9: C3
Reading seq #10: C122
Reading seq #11: C258
Reading seq #12: C180
Reading seq #13: C44
Reading seq #14: C64
Reading seq #15: C69
Reading seq #16: C192
Reading seq #17: C118
Reading seq #18: C223
Reading seq #19: C71
Reading seq #20: C36
Reading seq #21: C28
Reading seq #22: C282
Reading seq #23: C135
Reading seq #24: C134
Reading seq #25: C76
Reading seq #26: C47
Reading seq #27: C38
Reading seq #28: C53
Reading seq #29: C83
Reading seq #30: C59
Sites with gaps or missing data are removed.
252 ambiguity characters in seq. 18
84 sites are removed. 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278
Sequences read..
Counting site patterns.. 0:00
Compressing, 156 patterns at 194 / 194 sites (100.0%), 0:00
Collecting fpatt[] & pose[], 156 patterns at 194 / 194 sites (100.0%), 0:00
Counting codons..
3480 bytes for distance
152256 bytes for conP
13728 bytes for fhK
5000000 bytes for space
Model 1: NearlyNeutral
TREE # 1
(12, 13, 27, 6, 15, 20, 9, (8, (1, 3, 14, 29)), (((((((11, (23, 24)), 10), 22, (21, 26, 2), 30), ((((17, 5), 7), 19), 25)), 18), (16, 4)), 28)); MP score: 185
1294176 bytes for conP, adjusted
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
35
0.075419 0.047812 0.081257 0.078757 0.093738 0.036398 0.083916 0.043056 0.081745 0.068595 0.088526 0.096450 0.014323 0.101459 0.071099 0.077498 0.063544 0.030213 0.030032 0.067189 0.064554 0.068615 0.015607 0.049521 0.078629 0.023753 0.093396 0.093878 0.095587 0.013715 0.071231 0.045107 0.092741 0.051570 0.094433 0.082250 0.042583 0.094091 0.088999 0.081873 0.036387 0.028662 0.107420 0.096915 0.065916 0.046810 0.300000 0.887290 0.235015
ntime & nrate & np: 46 2 49
Bounds (np=49):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 0.999990 1.000000
Qfactor_NS = 16.673167
np = 49
lnL0 = -2547.604811
Iterating by ming2
Initial: fx= 2547.604811
x= 0.07542 0.04781 0.08126 0.07876 0.09374 0.03640 0.08392 0.04306 0.08175 0.06859 0.08853 0.09645 0.01432 0.10146 0.07110 0.07750 0.06354 0.03021 0.03003 0.06719 0.06455 0.06862 0.01561 0.04952 0.07863 0.02375 0.09340 0.09388 0.09559 0.01371 0.07123 0.04511 0.09274 0.05157 0.09443 0.08225 0.04258 0.09409 0.08900 0.08187 0.03639 0.02866 0.10742 0.09692 0.06592 0.04681 0.30000 0.88729 0.23502
1 h-m-p 0.0000 0.0001 4941.9599 ++ 2101.517662 m 0.0001 54 | 1/49
2 h-m-p 0.0000 0.0000 972.7704 ++ 2099.455914 m 0.0000 106 | 2/49
3 h-m-p 0.0000 0.0000 2042.0112 ++ 2058.401682 m 0.0000 158 | 3/49
4 h-m-p 0.0000 0.0000 3547.6768 ++ 2006.753550 m 0.0000 210 | 4/49
5 h-m-p 0.0000 0.0001 591.9686 ++ 1977.717383 m 0.0001 262 | 5/49
6 h-m-p 0.0000 0.0001 368.7911 ++ 1968.970929 m 0.0001 314 | 6/49
7 h-m-p 0.0000 0.0001 1839.8192 ++ 1926.918269 m 0.0001 366 | 7/49
8 h-m-p 0.0000 0.0000 4640.6331 ++ 1925.281656 m 0.0000 418 | 8/49
9 h-m-p 0.0000 0.0000 882595.3177 ++ 1923.420521 m 0.0000 470 | 9/49
10 h-m-p 0.0000 0.0000 2588.1841 ++ 1921.399738 m 0.0000 522 | 10/49
11 h-m-p 0.0000 0.0000 2535.8882 ++ 1917.757745 m 0.0000 574 | 11/49
12 h-m-p 0.0000 0.0000 12430.0534 ++ 1914.968810 m 0.0000 626 | 12/49
13 h-m-p 0.0000 0.0000 9223.0475 ++ 1914.293427 m 0.0000 678 | 13/49
14 h-m-p 0.0000 0.0000 6101.0895 ++ 1913.763550 m 0.0000 730 | 14/49
15 h-m-p 0.0000 0.0000 3731.4616 ++ 1909.650053 m 0.0000 782 | 15/49
16 h-m-p 0.0000 0.0000 4147.0322 ++ 1908.160961 m 0.0000 834 | 16/49
17 h-m-p 0.0000 0.0000 3559.8889 ++ 1902.972428 m 0.0000 886 | 17/49
18 h-m-p 0.0000 0.0000 1593.2013 ++ 1899.867993 m 0.0000 938 | 18/49
19 h-m-p 0.0000 0.0000 2265.9840 ++ 1898.743078 m 0.0000 990 | 19/49
20 h-m-p 0.0000 0.0000 1038.1311 ++ 1891.793407 m 0.0000 1042 | 20/49
21 h-m-p 0.0000 0.0003 419.1391 ++ 1855.046660 m 0.0003 1094 | 20/49
22 h-m-p 0.0000 0.0000 3434.9777 YCYCCC 1854.206610 5 0.0000 1154 | 20/49
23 h-m-p 0.0000 0.0000 745.4536 YCYCCC 1853.088161 5 0.0000 1214 | 20/49
24 h-m-p 0.0000 0.0000 1120.4538 YCYCCC 1852.350341 5 0.0000 1274 | 20/49
25 h-m-p 0.0000 0.0000 1117.5000 +YYYC 1850.065921 3 0.0000 1330 | 20/49
26 h-m-p 0.0000 0.0000 6878.9065 ++ 1849.261289 m 0.0000 1382 | 20/49
27 h-m-p 0.0000 0.0001 376.3292 +YYYCCC 1847.115010 5 0.0000 1442 | 20/49
28 h-m-p 0.0000 0.0000 500.7106 +YYCCCC 1846.246400 5 0.0000 1503 | 20/49
29 h-m-p 0.0000 0.0000 632.5046 +YYYCCC 1844.882690 5 0.0000 1563 | 20/49
30 h-m-p 0.0000 0.0002 435.4879 +CYYYCCCCC 1837.388364 8 0.0001 1629 | 20/49
31 h-m-p 0.0000 0.0001 167.7057 ++ 1835.780651 m 0.0001 1681 | 21/49
32 h-m-p 0.0001 0.0003 112.7054 +YCYCC 1834.583568 4 0.0002 1740 | 21/49
33 h-m-p 0.0003 0.0015 52.1936 +YYCYYYYYYY 1826.187535 9 0.0013 1803 | 21/49
34 h-m-p 0.0003 0.0015 53.5340 YCYCCC 1824.185843 5 0.0008 1863 | 20/49
35 h-m-p 0.0000 0.0001 614.3864 CYC 1823.841668 2 0.0000 1918 | 20/49
36 h-m-p 0.0001 0.0007 49.4251 YCYCCC 1822.845840 5 0.0003 1978 | 20/49
37 h-m-p 0.0003 0.0014 37.0123 +CYCCC 1815.277196 4 0.0012 2038 | 20/49
38 h-m-p 0.0001 0.0003 123.9049 +YYYYYYC 1812.250834 6 0.0002 2097 | 20/49
39 h-m-p 0.0001 0.0007 71.4333 +YYYYYYCCCC 1808.046034 10 0.0006 2163 | 20/49
40 h-m-p 0.0000 0.0002 109.4132 +YYYCCC 1806.388122 5 0.0001 2223 | 20/49
41 h-m-p 0.0004 0.0024 32.0932 +CYYCCC 1794.632970 5 0.0021 2285 | 20/49
42 h-m-p 0.0021 0.0104 9.3318 YCYCCC 1790.481466 5 0.0049 2345 | 20/49
43 h-m-p 0.0042 0.0208 3.8502 +YYYCCC 1781.081406 5 0.0159 2405 | 20/49
44 h-m-p 0.0053 0.0265 2.1124 YCCCC 1779.510575 4 0.0103 2464 | 20/49
45 h-m-p 0.0084 0.2325 2.6005 +YCCC 1761.942433 3 0.0768 2522 | 20/49
46 h-m-p 0.0344 0.1720 1.3523 YCCC 1756.786739 3 0.0744 2579 | 20/49
47 h-m-p 0.0698 0.3490 0.4557 YCCCC 1752.712598 4 0.1791 2638 | 20/49
48 h-m-p 0.0782 0.3909 0.3320 +YYYYCCCCC 1745.708717 8 0.3223 2732 | 20/49
49 h-m-p 0.0152 0.0761 1.2523 ++ 1742.505935 m 0.0761 2813 | 20/49
50 h-m-p 0.0775 0.3876 0.6703 +YYYYYY 1735.261484 5 0.3086 2871 | 20/49
51 h-m-p 0.1217 0.6083 0.4221 +YYCCCC 1729.160178 5 0.3731 2961 | 20/49
52 h-m-p 0.1005 0.5025 0.4143 +YYYYCC 1721.934878 5 0.3854 3049 | 20/49
53 h-m-p 0.2151 1.0754 0.4784 +YCCCC 1714.508517 4 0.5789 3138 | 20/49
54 h-m-p 0.1319 0.6597 0.3947 +YYYCCC 1709.600856 5 0.4822 3227 | 20/49
55 h-m-p 0.1124 0.5622 0.6254 YCCC 1706.947683 3 0.2819 3313 | 20/49
56 h-m-p 0.4182 2.7566 0.4216 +YCCC 1701.282582 3 1.0327 3400 | 20/49
57 h-m-p 0.5813 2.9067 0.2532 YCCCC 1698.038313 4 1.1884 3488 | 20/49
58 h-m-p 0.2058 1.0288 0.4172 +YCYCCC 1695.856794 5 0.5587 3578 | 20/49
59 h-m-p 0.3660 1.8301 0.3621 YCCC 1693.794931 3 0.7865 3664 | 20/49
60 h-m-p 0.7080 3.5398 0.2019 YCCCC 1691.486831 4 1.6901 3752 | 20/49
61 h-m-p 0.6864 3.4321 0.1759 YCCCC 1689.799995 4 1.5385 3840 | 20/49
62 h-m-p 0.9542 4.7711 0.1060 YCCC 1688.567153 3 1.6914 3926 | 20/49
63 h-m-p 0.4021 2.0105 0.0701 ++ 1686.421246 m 2.0105 4007 | 20/49
64 h-m-p -0.0000 -0.0000 0.0829
h-m-p: -4.57378630e-17 -2.28689315e-16 8.28848454e-02 1686.421246
.. | 20/49
65 h-m-p 0.0000 0.0001 11604.1509 YCYCYC 1683.385112 5 0.0000 4174 | 20/49
66 h-m-p 0.0000 0.0001 181.7841 CCCC 1682.653816 3 0.0000 4232 | 20/49
67 h-m-p 0.0000 0.0002 93.6938 +YCCC 1682.275076 3 0.0001 4290 | 20/49
68 h-m-p 0.0001 0.0006 123.8760 YCCC 1682.097485 3 0.0001 4347 | 20/49
69 h-m-p 0.0001 0.0006 75.7171 CCCC 1681.904334 3 0.0001 4405 | 20/49
70 h-m-p 0.0001 0.0003 53.2801 CCC 1681.832553 2 0.0001 4461 | 20/49
71 h-m-p 0.0000 0.0008 103.7516 +YCCC 1681.468676 3 0.0003 4519 | 20/49
72 h-m-p 0.0001 0.0006 252.2811 CCC 1680.894813 2 0.0002 4575 | 20/49
73 h-m-p 0.0000 0.0001 435.5302 +CCC 1680.498050 2 0.0001 4632 | 20/49
74 h-m-p 0.0001 0.0005 322.8514 CCC 1680.013513 2 0.0001 4688 | 20/49
75 h-m-p 0.0002 0.0009 178.9833 CCC 1679.682869 2 0.0002 4744 | 20/49
76 h-m-p 0.0001 0.0005 525.8854 CCCC 1679.158529 3 0.0001 4802 | 20/49
77 h-m-p 0.0001 0.0004 357.2464 CCCC 1678.715442 3 0.0001 4860 | 20/49
78 h-m-p 0.0001 0.0003 514.3559 CCC 1678.323965 2 0.0001 4916 | 20/49
79 h-m-p 0.0001 0.0007 300.7502 CCC 1677.861997 2 0.0002 4972 | 20/49
80 h-m-p 0.0001 0.0004 515.0030 CCCC 1677.295504 3 0.0001 5030 | 20/49
81 h-m-p 0.0001 0.0004 917.1937 YCCC 1676.068586 3 0.0001 5087 | 20/49
82 h-m-p 0.0001 0.0006 669.6499 YCCCC 1674.602584 4 0.0002 5146 | 20/49
83 h-m-p 0.0000 0.0002 1614.2032 CC 1674.077886 1 0.0000 5200 | 20/49
84 h-m-p 0.0001 0.0004 171.1599 CYC 1673.955007 2 0.0001 5255 | 20/49
85 h-m-p 0.0001 0.0005 120.1720 YCC 1673.898270 2 0.0001 5310 | 20/49
86 h-m-p 0.0002 0.0035 30.6202 CC 1673.859775 1 0.0002 5364 | 20/49
87 h-m-p 0.0002 0.0012 31.4873 CC 1673.849233 1 0.0001 5418 | 20/49
88 h-m-p 0.0001 0.0064 31.5186 ++YC 1673.727855 1 0.0009 5473 | 20/49
89 h-m-p 0.0001 0.0003 153.5296 YYC 1673.695818 2 0.0000 5527 | 20/49
90 h-m-p 0.0002 0.0057 33.0401 C 1673.667527 0 0.0002 5579 | 20/49
91 h-m-p 0.0003 0.0013 8.5465 YC 1673.666366 1 0.0001 5632 | 20/49
92 h-m-p 0.0003 0.1469 7.9741 ++++YYYC 1672.577879 3 0.0673 5691 | 20/49
93 h-m-p 0.0000 0.0003 12822.5072 CYCCCC 1670.375175 5 0.0001 5752 | 20/49
94 h-m-p 0.4892 2.4458 0.2333 CCCC 1670.042436 3 0.7319 5810 | 20/49
95 h-m-p 1.6000 8.0000 0.0638 YC 1670.000201 1 1.2620 5892 | 20/49
96 h-m-p 1.6000 8.0000 0.0446 YCC 1669.988939 2 1.1198 5976 | 20/49
97 h-m-p 1.6000 8.0000 0.0174 YC 1669.985743 1 1.2422 6058 | 20/49
98 h-m-p 1.6000 8.0000 0.0029 C 1669.985260 0 1.3705 6139 | 20/49
99 h-m-p 1.6000 8.0000 0.0002 C 1669.985183 0 1.8754 6220 | 20/49
100 h-m-p 1.2899 8.0000 0.0003 +Y 1669.985050 0 6.1970 6302 | 20/49
101 h-m-p 1.6000 8.0000 0.0008 +C 1669.984542 0 6.0839 6384 | 20/49
102 h-m-p 1.6000 8.0000 0.0025 Y 1669.984409 0 1.2683 6465 | 20/49
103 h-m-p 1.6000 8.0000 0.0006 Y 1669.984392 0 0.9613 6546 | 20/49
104 h-m-p 1.6000 8.0000 0.0002 Y 1669.984392 0 1.0885 6627 | 20/49
105 h-m-p 1.6000 8.0000 0.0000 Y 1669.984392 0 0.8511 6708 | 20/49
106 h-m-p 1.6000 8.0000 0.0000 C 1669.984392 0 0.6146 6789 | 20/49
107 h-m-p 1.6000 8.0000 0.0000 ----------C 1669.984392 0 0.0000 6880
Out..
lnL = -1669.984392
6881 lfun, 20643 eigenQcodon, 633052 P(t)
end of tree file.
Time used: 4:17
Model 2: PositiveSelection
TREE # 1
(12, 13, 27, 6, 15, 20, 9, (8, (1, 3, 14, 29)), (((((((11, (23, 24)), 10), 22, (21, 26, 2), 30), ((((17, 5), 7), 19), 25)), 18), (16, 4)), 28)); MP score: 185
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
35
0.080423 0.027786 0.064126 0.011171 0.011133 0.030658 0.107894 0.068921 0.030391 0.068320 0.021580 0.050555 0.087667 0.011887 0.047838 0.032727 0.039606 0.048887 0.098600 0.030147 0.066300 0.093707 0.050605 0.089373 0.040991 0.023718 0.081060 0.085630 0.095368 0.089524 0.073127 0.108595 0.097663 0.022770 0.095920 0.098088 0.035727 0.039939 0.038707 0.065592 0.072270 0.015594 0.053992 0.012564 0.014462 0.073482 2.484003 1.091755 0.207263 0.120293 1.323273
ntime & nrate & np: 46 3 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 0.000100 -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 999.000000 99.000000 99.000000 1.000000 999.000000
Qfactor_NS = 5.564126
np = 51
lnL0 = -2469.316294
Iterating by ming2
Initial: fx= 2469.316294
x= 0.08042 0.02779 0.06413 0.01117 0.01113 0.03066 0.10789 0.06892 0.03039 0.06832 0.02158 0.05055 0.08767 0.01189 0.04784 0.03273 0.03961 0.04889 0.09860 0.03015 0.06630 0.09371 0.05061 0.08937 0.04099 0.02372 0.08106 0.08563 0.09537 0.08952 0.07313 0.10860 0.09766 0.02277 0.09592 0.09809 0.03573 0.03994 0.03871 0.06559 0.07227 0.01559 0.05399 0.01256 0.01446 0.07348 2.48400 1.09175 0.20726 0.12029 1.32327
1 h-m-p 0.0000 0.0001 8872.9430 ++ 1921.212555 m 0.0001 56 | 1/51
2 h-m-p 0.0000 0.0000 652.9367 ++ 1912.848628 m 0.0000 110 | 2/51
3 h-m-p 0.0000 0.0000 46607.0306 ++ 1883.978022 m 0.0000 164 | 3/51
4 h-m-p 0.0000 0.0000 3472.6119 ++ 1875.600862 m 0.0000 218 | 4/51
5 h-m-p 0.0000 0.0000 2054.4260 ++ 1857.305625 m 0.0000 272 | 5/51
6 h-m-p 0.0000 0.0000 1703.2712 ++ 1857.098943 m 0.0000 326 | 6/51
7 h-m-p 0.0000 0.0000 327297.6724 ++ 1856.914238 m 0.0000 380 | 7/51
8 h-m-p 0.0000 0.0000 67161.5127 ++ 1835.546717 m 0.0000 434 | 8/51
9 h-m-p 0.0000 0.0000 38697.0667 ++ 1833.744118 m 0.0000 488 | 9/51
10 h-m-p 0.0000 0.0000 77989.0752 ++ 1827.414399 m 0.0000 542 | 10/51
11 h-m-p 0.0000 0.0000 6293.0041 ++ 1787.730572 m 0.0000 596 | 11/51
12 h-m-p 0.0000 0.0000 9978.1414 ++ 1782.908077 m 0.0000 650 | 12/51
13 h-m-p 0.0000 0.0000 4493.1488 ++ 1771.478761 m 0.0000 704 | 13/51
14 h-m-p 0.0000 0.0000 3322.8830 ++ 1771.367050 m 0.0000 758 | 14/51
15 h-m-p 0.0000 0.0000 3533.1019 ++ 1756.256835 m 0.0000 812 | 15/51
16 h-m-p 0.0000 0.0000 1933.3640 ++ 1753.319379 m 0.0000 866 | 16/51
17 h-m-p 0.0000 0.0000 1996.7349 ++ 1750.220348 m 0.0000 920 | 17/51
18 h-m-p 0.0000 0.0000 1311.1970 ++ 1746.638168 m 0.0000 974 | 18/51
19 h-m-p 0.0000 0.0000 953.9351 ++ 1746.068745 m 0.0000 1028 | 19/51
20 h-m-p 0.0000 0.0000 1043.9494 ++ 1744.132829 m 0.0000 1082 | 20/51
21 h-m-p 0.0000 0.0002 237.0414 +YCYYYCC 1734.552042 6 0.0002 1146 | 20/51
22 h-m-p 0.0000 0.0000 538.1212 ++ 1732.564919 m 0.0000 1200 | 20/51
23 h-m-p 0.0001 0.0003 232.6295 +YYCCCC 1728.868721 5 0.0002 1263 | 20/51
24 h-m-p 0.0001 0.0003 170.0196 YCCCC 1727.034439 4 0.0001 1324 | 20/51
25 h-m-p 0.0000 0.0002 161.5439 +YCYCCC 1725.306067 5 0.0001 1387 | 20/51
26 h-m-p 0.0000 0.0001 323.6932 +YYCCC 1722.595563 4 0.0001 1448 | 20/51
27 h-m-p 0.0000 0.0001 361.5062 YCCCC 1721.312222 4 0.0000 1509 | 20/51
28 h-m-p 0.0000 0.0000 751.9002 YCCC 1720.554013 3 0.0000 1568 | 20/51
29 h-m-p 0.0000 0.0002 72.1503 YCCC 1720.135790 3 0.0001 1627 | 20/51
30 h-m-p 0.0001 0.0004 145.1956 +YCCC 1718.951333 3 0.0002 1687 | 20/51
31 h-m-p 0.0000 0.0001 324.9130 YCYCCC 1718.170887 5 0.0001 1749 | 20/51
32 h-m-p 0.0000 0.0001 337.7273 YCYCCC 1717.466621 5 0.0000 1811 | 20/51
33 h-m-p 0.0000 0.0000 523.0634 YCYCCC 1716.947248 5 0.0000 1873 | 20/51
34 h-m-p 0.0001 0.0003 139.7503 +YYCCCC 1715.886082 5 0.0002 1936 | 20/51
35 h-m-p 0.0001 0.0005 93.6641 CCCC 1715.627588 3 0.0001 1996 | 20/51
36 h-m-p 0.0002 0.0009 54.5362 CCCC 1715.427491 3 0.0002 2056 | 20/51
37 h-m-p 0.0001 0.0006 149.0755 +YYCCC 1714.768451 4 0.0003 2117 | 20/51
38 h-m-p 0.0000 0.0002 972.8430 +YYYCCC 1712.111494 5 0.0001 2179 | 20/51
39 h-m-p 0.0001 0.0007 441.2131 ++ 1707.101760 m 0.0007 2233 | 21/51
40 h-m-p 0.0022 0.0108 94.0094 YCC 1703.133358 2 0.0041 2290 | 21/51
41 h-m-p 0.0014 0.0070 88.2279 YCCC 1700.799768 3 0.0030 2349 | 21/51
42 h-m-p 0.0025 0.0123 36.7626 CCC 1700.155534 2 0.0023 2407 | 21/51
43 h-m-p 0.0031 0.0156 12.8228 YCCCC 1699.661540 4 0.0058 2468 | 21/51
44 h-m-p 0.0026 0.0230 29.1112 +CYCCC 1697.409578 4 0.0119 2530 | 21/51
45 h-m-p 0.0014 0.0069 62.1696 CCC 1696.761283 2 0.0020 2588 | 21/51
46 h-m-p 0.0443 0.2470 2.7913 +YCCC 1695.285460 3 0.1143 2648 | 21/51
47 h-m-p 0.2063 1.3641 1.5465 CCC 1693.325068 2 0.2776 2706 | 21/51
48 h-m-p 0.0614 0.3068 0.8704 YCCCC 1692.827689 4 0.1382 2767 | 21/51
49 h-m-p 0.1092 0.5459 0.5666 YCCC 1692.410096 3 0.2031 2856 | 21/51
50 h-m-p 0.1236 3.1375 0.9306 YCCC 1691.831454 3 0.2672 2945 | 21/51
51 h-m-p 0.7720 6.2519 0.3220 CC 1691.169479 1 0.9036 3031 | 21/51
52 h-m-p 0.4314 2.1569 0.2347 +YCCCC 1689.559248 4 1.2979 3123 | 21/51
53 h-m-p 1.0511 8.0000 0.2898 +YCCC 1687.275048 3 3.2623 3213 | 21/51
54 h-m-p 1.6000 8.0000 0.4983 CCCC 1685.514846 3 2.1224 3303 | 21/51
55 h-m-p 1.0628 5.3138 0.1310 YCCCC 1682.665291 4 2.7504 3394 | 21/51
56 h-m-p 0.4453 2.2267 0.5447 +YCCCC 1680.661055 4 1.3036 3486 | 21/51
57 h-m-p 0.9136 4.5678 0.5592 YC 1679.346303 1 1.6668 3571 | 21/51
58 h-m-p 0.7478 3.7389 0.2386 YCCC 1677.906747 3 1.6004 3660 | 21/51
59 h-m-p 0.6580 3.2901 0.3715 YCCCC 1676.805409 4 1.2873 3751 | 21/51
60 h-m-p 1.1716 5.8580 0.1595 YCCC 1676.100389 3 1.8992 3840 | 21/51
61 h-m-p 1.2386 6.1931 0.0276 CCC 1675.788534 2 1.5551 3928 | 21/51
62 h-m-p 0.8050 7.1453 0.0534 +YCCC 1675.376279 3 2.0691 4018 | 21/51
63 h-m-p 1.5437 7.7185 0.0572 YCCC 1674.680110 3 3.4022 4107 | 21/51
64 h-m-p 0.6933 3.4666 0.1983 YCCCC 1673.930575 4 1.6727 4198 | 21/51
65 h-m-p 1.6000 8.0000 0.1084 CC 1673.525114 1 1.5970 4284 | 21/51
66 h-m-p 0.7007 3.5036 0.0741 CCCC 1673.258340 3 1.0769 4374 | 21/51
67 h-m-p 0.6984 4.8275 0.1143 CYC 1673.107310 2 0.7894 4461 | 21/51
68 h-m-p 1.3294 6.6469 0.0533 CCC 1672.876988 2 1.4189 4549 | 21/51
69 h-m-p 0.7283 8.0000 0.1039 +YCCC 1672.239324 3 4.1149 4639 | 21/51
70 h-m-p 0.9512 4.7562 0.0755 +YYCCCC 1670.964280 5 2.8947 4732 | 21/51
71 h-m-p 0.8173 4.0865 0.0391 YCCCC 1670.394551 4 1.7186 4823 | 21/51
72 h-m-p 0.3603 3.8305 0.1865 CYC 1670.254902 2 0.4466 4910 | 21/51
73 h-m-p 1.1999 5.9993 0.0560 CCCC 1670.054901 3 1.5069 5000 | 21/51
74 h-m-p 1.4418 8.0000 0.0585 CC 1670.009348 1 1.2695 5086 | 21/51
75 h-m-p 0.8963 8.0000 0.0829 YC 1669.993470 1 1.5211 5171 | 21/51
76 h-m-p 1.6000 8.0000 0.0463 CC 1669.986000 1 1.4882 5257 | 21/51
77 h-m-p 1.6000 8.0000 0.0282 CC 1669.984655 1 1.3029 5343 | 21/51
78 h-m-p 1.6000 8.0000 0.0027 C 1669.984465 0 1.5279 5427 | 21/51
79 h-m-p 1.6000 8.0000 0.0024 C 1669.984413 0 1.6332 5511 | 21/51
80 h-m-p 1.6000 8.0000 0.0003 C 1669.984397 0 2.0312 5595 | 21/51
81 h-m-p 1.3278 8.0000 0.0005 C 1669.984393 0 1.5506 5679 | 21/51
82 h-m-p 1.6000 8.0000 0.0001 C 1669.984392 0 1.8137 5763 | 21/51
83 h-m-p 1.6000 8.0000 0.0001 C 1669.984392 0 1.4895 5847 | 21/51
84 h-m-p 1.6000 8.0000 0.0001 C 1669.984392 0 1.9645 5931 | 21/51
85 h-m-p 1.6000 8.0000 0.0000 C 1669.984392 0 1.9614 6015 | 21/51
86 h-m-p 1.6000 8.0000 0.0000 Y 1669.984392 0 1.0957 6099 | 21/51
87 h-m-p 1.2273 8.0000 0.0000 ----------Y 1669.984392 0 0.0000 6193
Out..
lnL = -1669.984392
6194 lfun, 24776 eigenQcodon, 854772 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) = -1681.131799 S = -1572.267357 -148.220955
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 156 patterns 10:05
did 20 / 156 patterns 10:05
did 30 / 156 patterns 10:05
did 40 / 156 patterns 10:05
did 50 / 156 patterns 10:05
did 60 / 156 patterns 10:05
did 70 / 156 patterns 10:05
did 80 / 156 patterns 10:05
did 90 / 156 patterns 10:05
did 100 / 156 patterns 10:05
did 110 / 156 patterns 10:06
did 120 / 156 patterns 10:06
did 130 / 156 patterns 10:06
did 140 / 156 patterns 10:06
did 150 / 156 patterns 10:06
did 156 / 156 patterns 10:06end of tree file.
Time used: 10:06
Model 7: beta
TREE # 1
(12, 13, 27, 6, 15, 20, 9, (8, (1, 3, 14, 29)), (((((((11, (23, 24)), 10), 22, (21, 26, 2), 30), ((((17, 5), 7), 19), 25)), 18), (16, 4)), 28)); MP score: 185
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
35
0.061472 0.050367 0.097347 0.011112 0.105785 0.057340 0.070789 0.048182 0.100207 0.015121 0.080060 0.014454 0.048857 0.052420 0.104170 0.012320 0.076720 0.092574 0.098139 0.077794 0.066187 0.055536 0.044342 0.052963 0.039985 0.044152 0.055694 0.063819 0.020182 0.100646 0.047891 0.026887 0.067949 0.094263 0.072872 0.083111 0.083772 0.075997 0.080701 0.032414 0.022806 0.011351 0.052061 0.017387 0.055047 0.077058 2.484006 0.285331 1.695314
ntime & nrate & np: 46 1 49
Bounds (np=49):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 99.000000 99.000000
Qfactor_NS = 11.116031
np = 49
lnL0 = -2537.124269
Iterating by ming2
Initial: fx= 2537.124269
x= 0.06147 0.05037 0.09735 0.01111 0.10578 0.05734 0.07079 0.04818 0.10021 0.01512 0.08006 0.01445 0.04886 0.05242 0.10417 0.01232 0.07672 0.09257 0.09814 0.07779 0.06619 0.05554 0.04434 0.05296 0.03999 0.04415 0.05569 0.06382 0.02018 0.10065 0.04789 0.02689 0.06795 0.09426 0.07287 0.08311 0.08377 0.07600 0.08070 0.03241 0.02281 0.01135 0.05206 0.01739 0.05505 0.07706 2.48401 0.28533 1.69531
1 h-m-p 0.0000 0.0001 10791.5548 ++ 1980.341889 m 0.0001 54 | 1/49
2 h-m-p 0.0000 0.0000 868.1594 ++ 1949.842019 m 0.0000 106 | 2/49
3 h-m-p 0.0000 0.0000 311961.1542 ++ 1847.099892 m 0.0000 158 | 3/49
4 h-m-p 0.0000 0.0000 113987.3114 ++ 1828.863296 m 0.0000 210 | 4/49
5 h-m-p 0.0000 0.0000 13639.9479 ++ 1816.668412 m 0.0000 262 | 5/49
6 h-m-p 0.0000 0.0000 20986.8450 ++ 1813.826216 m 0.0000 314 | 6/49
7 h-m-p 0.0000 0.0000 36798.9562 ++ 1794.920153 m 0.0000 366 | 7/49
8 h-m-p 0.0000 0.0000 12485.5095 ++ 1789.537549 m 0.0000 418 | 8/49
9 h-m-p 0.0000 0.0000 16845.9351 ++ 1785.671549 m 0.0000 470 | 9/49
10 h-m-p 0.0000 0.0000 8126.4516 ++ 1783.819503 m 0.0000 522 | 10/49
11 h-m-p 0.0000 0.0000 5649.8105 ++ 1754.473624 m 0.0000 574 | 11/49
12 h-m-p 0.0000 0.0000 8156.8058 ++ 1743.596808 m 0.0000 626 | 12/49
13 h-m-p 0.0000 0.0000 10879.7773 ++ 1740.740220 m 0.0000 678 | 13/49
14 h-m-p 0.0000 0.0000 8303.4114 ++ 1736.219428 m 0.0000 730 | 14/49
15 h-m-p 0.0000 0.0000 2314.0301 ++ 1735.574202 m 0.0000 782 | 15/49
16 h-m-p 0.0000 0.0000 3135.4589 ++ 1733.120336 m 0.0000 834 | 16/49
17 h-m-p 0.0000 0.0000 3572.5792 ++ 1730.676393 m 0.0000 886 | 17/49
18 h-m-p 0.0000 0.0000 4780.4251 ++ 1720.151412 m 0.0000 938 | 18/49
19 h-m-p 0.0000 0.0000 1738.7866 ++ 1718.109890 m 0.0000 990 | 19/49
20 h-m-p 0.0000 0.0000 611.4833 ++ 1717.986621 m 0.0000 1042 | 20/49
21 h-m-p 0.0000 0.0002 216.3022 ++ 1709.125352 m 0.0002 1094 | 21/49
22 h-m-p 0.0000 0.0002 143.2732 +YYCCCC 1707.723630 5 0.0001 1155 | 21/49
23 h-m-p 0.0002 0.0011 71.6097 CCCC 1707.115431 3 0.0002 1213 | 20/49
24 h-m-p 0.0001 0.0005 164.1064 CYCC 1706.953651 3 0.0000 1270 | 20/49
25 h-m-p 0.0001 0.0008 58.8748 YC 1706.667008 1 0.0002 1323 | 20/49
26 h-m-p 0.0001 0.0006 32.0354 YCCC 1706.429819 3 0.0003 1380 | 20/49
27 h-m-p 0.0004 0.0024 22.0405 +YYYYCC 1704.631726 5 0.0016 1439 | 20/49
28 h-m-p 0.0001 0.0004 66.4879 YCYCCC 1704.205961 5 0.0002 1499 | 20/49
29 h-m-p 0.0001 0.0006 29.3371 YCCC 1704.066945 3 0.0002 1556 | 20/49
30 h-m-p 0.0001 0.0007 31.8599 CCC 1703.949177 2 0.0002 1612 | 20/49
31 h-m-p 0.0002 0.0035 35.5608 +CCCCC 1703.226527 4 0.0010 1673 | 20/49
32 h-m-p 0.0006 0.0030 30.9605 YYC 1702.992596 2 0.0005 1727 | 20/49
33 h-m-p 0.0003 0.0016 26.4172 YCCC 1702.818552 3 0.0005 1784 | 20/49
34 h-m-p 0.0011 0.0113 13.3676 YCCC 1702.607768 3 0.0020 1841 | 20/49
35 h-m-p 0.0013 0.0160 19.7327 +YYCC 1701.947446 3 0.0045 1898 | 20/49
36 h-m-p 0.0093 0.2082 9.5188 +YC 1700.848425 1 0.0254 1952 | 20/49
37 h-m-p 0.0180 0.0900 6.2338 YCCCC 1699.647576 4 0.0460 2011 | 20/49
38 h-m-p 0.0532 0.2658 1.9431 CC 1698.987124 1 0.0593 2065 | 20/49
39 h-m-p 0.0199 0.0995 2.6731 CCCC 1698.536974 3 0.0296 2123 | 20/49
40 h-m-p 0.0157 0.1071 5.0501 +YCCC 1697.659152 3 0.0445 2181 | 20/49
41 h-m-p 0.1894 0.9470 0.9330 CCC 1697.225714 2 0.1523 2237 | 20/49
42 h-m-p 0.0767 0.3967 1.8518 YCCC 1696.948568 3 0.0527 2323 | 20/49
43 h-m-p 0.1342 0.6783 0.7278 YCCCC 1696.366389 4 0.2897 2382 | 20/49
44 h-m-p 0.1025 0.5125 0.8994 YCCC 1695.860645 3 0.2048 2468 | 20/49
45 h-m-p 0.5640 2.8198 0.2018 YCCCC 1694.061357 4 1.3469 2556 | 20/49
46 h-m-p 0.3208 1.6040 0.1444 YCCCC 1692.385921 4 0.7721 2644 | 20/49
47 h-m-p 0.2713 1.3567 0.2289 YCCCC 1690.382679 4 0.6244 2732 | 20/49
48 h-m-p 0.2857 1.4283 0.3903 +YCCC 1687.427670 3 0.7778 2819 | 20/49
49 h-m-p 0.3683 1.8416 0.4464 +YCCCC 1684.288099 4 1.0565 2908 | 20/49
50 h-m-p 0.4598 2.2990 0.2392 +YCCC 1681.369236 3 1.2578 2995 | 20/49
51 h-m-p 0.2073 1.0366 0.2714 YYCC 1680.371242 3 0.3223 3080 | 20/49
52 h-m-p 0.2627 3.1575 0.3329 +CYCCC 1679.159857 4 1.3583 3169 | 20/49
53 h-m-p 0.6943 3.4715 0.1448 CCC 1678.813946 2 0.8863 3254 | 20/49
54 h-m-p 0.8691 4.3456 0.0679 CCC 1678.601847 2 0.9080 3339 | 20/49
55 h-m-p 1.5535 8.0000 0.0397 CC 1678.335965 1 2.3609 3422 | 20/49
56 h-m-p 1.0363 5.1813 0.0329 YCCC 1677.765551 3 2.5698 3508 | 20/49
57 h-m-p 1.5403 8.0000 0.0549 +YYCC 1674.258077 3 5.5314 3594 | 20/49
58 h-m-p 0.2101 1.0506 0.1630 +YYYYYYYC 1671.050384 7 0.8405 3683 | 20/49
59 h-m-p 0.6482 3.2409 0.1762 YCCCC 1669.537611 4 1.2316 3771 | 20/49
60 h-m-p 0.1734 0.8672 0.4458 YCYCCC 1669.164139 5 0.4156 3860 | 20/49
61 h-m-p 0.5259 3.4437 0.3523 CC 1669.022657 1 0.5805 3943 | 20/49
62 h-m-p 1.1538 5.7689 0.0555 YYC 1668.909486 2 0.9456 4026 | 20/49
63 h-m-p 1.6000 8.0000 0.0167 YC 1668.881925 1 1.1380 4108 | 20/49
64 h-m-p 0.9244 8.0000 0.0205 YC 1668.869837 1 1.5556 4190 | 20/49
65 h-m-p 1.6000 8.0000 0.0095 CC 1668.862474 1 1.7909 4273 | 20/49
66 h-m-p 1.6000 8.0000 0.0027 CC 1668.858018 1 1.7097 4356 | 20/49
67 h-m-p 0.3137 8.0000 0.0147 ++YC 1668.846263 1 3.2942 4440 | 20/49
68 h-m-p 1.6000 8.0000 0.0122 +CC 1668.774474 1 6.1454 4524 | 20/49
69 h-m-p 1.6000 8.0000 0.0242 +CC 1668.571295 1 5.6873 4608 | 20/49
70 h-m-p 1.6000 8.0000 0.0261 +YCYCC 1667.879558 4 4.5161 4696 | 20/49
71 h-m-p 0.8931 7.5793 0.1322 YCCC 1667.484076 3 1.8606 4782 | 20/49
72 h-m-p 0.5706 2.8528 0.0718 CYCCC 1667.403105 4 0.7797 4870 | 20/49
73 h-m-p 0.3860 3.6619 0.1451 YCC 1667.367215 2 0.6148 4954 | 20/49
74 h-m-p 1.6000 8.0000 0.0138 YC 1667.361980 1 1.1854 5036 | 20/49
75 h-m-p 0.9127 8.0000 0.0179 C 1667.361541 0 1.1192 5117 | 20/49
76 h-m-p 1.6000 8.0000 0.0049 C 1667.361416 0 1.8363 5198 | 20/49
77 h-m-p 1.6000 8.0000 0.0046 C 1667.361384 0 1.4773 5279 | 20/49
78 h-m-p 1.6000 8.0000 0.0006 C 1667.361381 0 1.5223 5360 | 20/49
79 h-m-p 1.6000 8.0000 0.0002 Y 1667.361381 0 1.1910 5441 | 20/49
80 h-m-p 1.6000 8.0000 0.0000 C 1667.361381 0 1.3252 5522 | 20/49
81 h-m-p 1.6000 8.0000 0.0000 C 1667.361381 0 1.3205 5603 | 20/49
82 h-m-p 1.6000 8.0000 0.0000 ----------------.. | 20/49
83 h-m-p 0.0044 2.2165 0.0015 ------------ | 20/49
84 h-m-p 0.0044 2.2165 0.0015 ------------
Out..
lnL = -1667.361381
5881 lfun, 64691 eigenQcodon, 2705260 P(t)
end of tree file.
Time used: 28:25
Model 8: beta&w>1
TREE # 1
(12, 13, 27, 6, 15, 20, 9, (8, (1, 3, 14, 29)), (((((((11, (23, 24)), 10), 22, (21, 26, 2), 30), ((((17, 5), 7), 19), 25)), 18), (16, 4)), 28)); MP score: 185
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
35
0.075020 0.082703 0.062858 0.086496 0.040663 0.053195 0.066370 0.103757 0.096099 0.083001 0.045777 0.059155 0.107985 0.048108 0.096495 0.023756 0.020118 0.036629 0.034706 0.107445 0.105991 0.034003 0.105333 0.042710 0.073992 0.073725 0.098125 0.105051 0.054916 0.039528 0.089032 0.093433 0.076501 0.079988 0.099063 0.069257 0.104653 0.071448 0.037804 0.027239 0.106062 0.040233 0.073808 0.046686 0.061898 0.030076 2.352536 0.900000 0.590065 1.365580 1.300000
ntime & nrate & np: 46 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 0.000100 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 999.000000 0.999990 99.000000 99.000000 999.000000
Qfactor_NS = 7.089021
np = 51
lnL0 = -2402.773943
Iterating by ming2
Initial: fx= 2402.773943
x= 0.07502 0.08270 0.06286 0.08650 0.04066 0.05320 0.06637 0.10376 0.09610 0.08300 0.04578 0.05916 0.10799 0.04811 0.09649 0.02376 0.02012 0.03663 0.03471 0.10744 0.10599 0.03400 0.10533 0.04271 0.07399 0.07372 0.09812 0.10505 0.05492 0.03953 0.08903 0.09343 0.07650 0.07999 0.09906 0.06926 0.10465 0.07145 0.03780 0.02724 0.10606 0.04023 0.07381 0.04669 0.06190 0.03008 2.35254 0.90000 0.59006 1.36558 1.30000
1 h-m-p 0.0000 0.0002 3617.1967 +++ 1890.727915 m 0.0002 108 | 1/51
2 h-m-p 0.0000 0.0000 732.7905 ++ 1872.355625 m 0.0000 213 | 2/51
3 h-m-p 0.0000 0.0000 4721.7683 ++ 1858.267416 m 0.0000 317 | 3/51
4 h-m-p 0.0000 0.0000 1985.2516 ++ 1852.917101 m 0.0000 420 | 4/51
5 h-m-p 0.0000 0.0000 1373.2942 ++ 1839.508479 m 0.0000 522 | 5/51
6 h-m-p 0.0000 0.0000 779.6116 ++ 1834.130405 m 0.0000 623 | 6/51
7 h-m-p 0.0000 0.0000 876.1120 ++ 1829.252545 m 0.0000 723 | 7/51
8 h-m-p 0.0000 0.0000 1848.6331 ++ 1817.836304 m 0.0000 822 | 8/51
9 h-m-p 0.0000 0.0000 3461.4943 ++ 1797.453647 m 0.0000 920 | 9/51
10 h-m-p 0.0000 0.0000 12583.2002 ++ 1790.585913 m 0.0000 1017 | 10/51
11 h-m-p 0.0000 0.0000 1078.0955 ++ 1778.887589 m 0.0000 1113 | 11/51
12 h-m-p 0.0000 0.0000 824.4491 ++ 1776.659507 m 0.0000 1208 | 12/51
13 h-m-p 0.0000 0.0000 49214.3809 ++ 1773.376769 m 0.0000 1302 | 13/51
14 h-m-p 0.0000 0.0000 20982.0528 ++ 1772.396095 m 0.0000 1395 | 14/51
15 h-m-p 0.0000 0.0000 5523.9428 ++ 1767.045894 m 0.0000 1487 | 15/51
16 h-m-p 0.0000 0.0000 4985.8422 ++ 1761.437976 m 0.0000 1578 | 16/51
17 h-m-p 0.0000 0.0000 4218.3499 ++ 1757.631273 m 0.0000 1668 | 17/51
18 h-m-p 0.0000 0.0000 3491.7188 ++ 1753.138539 m 0.0000 1757 | 18/51
19 h-m-p 0.0000 0.0000 1603.8115 ++ 1746.256740 m 0.0000 1845 | 19/51
20 h-m-p 0.0000 0.0000 691.4463 ++ 1744.268847 m 0.0000 1932 | 20/51
21 h-m-p 0.0000 0.0002 260.9314 ++ 1732.781874 m 0.0002 2018 | 19/51
22 h-m-p -0.0000 -0.0000 880.7547
h-m-p: -9.35779414e-22 -4.67889707e-21 8.80754727e+02 1732.781874
.. | 19/51
23 h-m-p 0.0000 0.0001 57157.0480 -CYCYCYC 1726.464794 6 0.0000 2197 | 19/51
24 h-m-p 0.0000 0.0000 455.2161 ++ 1726.064208 m 0.0000 2283 | 20/51
25 h-m-p 0.0000 0.0000 2683.8882 +YCYCCC 1712.215344 5 0.0000 2378 | 20/51
26 h-m-p 0.0000 0.0000 799.4668 +YYCCCC 1708.345008 5 0.0000 2472 | 20/51
27 h-m-p 0.0000 0.0000 608.4767 +YYYCCC 1705.646892 5 0.0000 2565 | 20/51
28 h-m-p 0.0000 0.0000 766.5284 +YYCCCC 1704.467358 5 0.0000 2659 | 20/51
29 h-m-p 0.0000 0.0000 1969.6959 +YCYCCC 1702.583549 5 0.0000 2753 | 20/51
30 h-m-p 0.0000 0.0001 843.2287 YCCCC 1700.857275 4 0.0000 2845 | 20/51
31 h-m-p 0.0000 0.0001 424.9042 YCYCCC 1698.552400 5 0.0001 2938 | 20/51
32 h-m-p 0.0000 0.0002 382.5995 YCYCCC 1695.979024 5 0.0001 3031 | 20/51
33 h-m-p 0.0000 0.0001 661.4066 +YYYCCC 1692.483062 5 0.0001 3124 | 20/51
34 h-m-p 0.0000 0.0000 3016.6862 +YCCC 1690.938346 3 0.0000 3215 | 20/51
35 h-m-p 0.0000 0.0000 1998.1400 ++ 1689.505679 m 0.0000 3300 | 21/51
36 h-m-p 0.0000 0.0001 435.0673 +YCCC 1688.609917 3 0.0001 3391 | 21/51
37 h-m-p 0.0000 0.0001 815.7135 +YYCC 1687.157642 3 0.0000 3480 | 21/51
38 h-m-p 0.0000 0.0000 459.3555 YCYCCC 1686.832697 5 0.0000 3572 | 21/51
39 h-m-p 0.0000 0.0002 762.6920 +YCYYCCC 1683.212738 6 0.0001 3667 | 21/51
40 h-m-p 0.0000 0.0001 2604.4089 +YCCC 1679.197900 3 0.0001 3757 | 21/51
41 h-m-p 0.0000 0.0000 868.0881 YCCC 1678.987294 3 0.0000 3846 | 21/51
42 h-m-p 0.0001 0.0003 134.7890 YCCCC 1678.545268 4 0.0001 3937 | 21/51
43 h-m-p 0.0000 0.0001 1091.8991 CCCC 1677.953761 3 0.0000 4027 | 21/51
44 h-m-p 0.0000 0.0001 468.5373 CCC 1677.769268 2 0.0000 4115 | 21/51
45 h-m-p 0.0000 0.0003 175.6784 CCC 1677.540799 2 0.0001 4203 | 21/51
46 h-m-p 0.0000 0.0002 183.8424 YCYCCC 1677.247959 5 0.0001 4295 | 21/51
47 h-m-p 0.0000 0.0005 801.0067 ++CCCC 1673.222020 3 0.0003 4387 | 21/51
48 h-m-p 0.0001 0.0007 22.3721 YYC 1673.197560 2 0.0001 4473 | 21/51
49 h-m-p 0.0002 0.0302 9.4584 ++CCCC 1672.716198 3 0.0057 4565 | 21/51
50 h-m-p 0.0047 0.0237 3.2459 +YCYCCC 1672.102526 5 0.0136 4658 | 21/51
51 h-m-p 0.0112 0.2416 3.9479 +YYCCC 1670.736793 4 0.0688 4749 | 21/51
52 h-m-p 0.0052 0.0260 7.5403 CC 1670.592758 1 0.0061 4835 | 21/51
53 h-m-p 0.0344 3.5341 1.3342 ++YCCC 1669.193225 3 0.9362 4926 | 21/51
54 h-m-p 0.9435 4.7176 0.3341 YCC 1668.160414 2 1.5508 5013 | 21/51
55 h-m-p 0.4099 2.0496 1.1982 YCCC 1667.796535 3 0.2773 5102 | 21/51
56 h-m-p 1.2451 6.2254 0.0705 CYC 1667.615985 2 1.1949 5189 | 21/51
57 h-m-p 0.5260 8.0000 0.1601 +CC 1667.512378 1 1.9560 5276 | 21/51
58 h-m-p 1.6000 8.0000 0.0618 CCC 1667.464303 2 1.3394 5364 | 21/51
59 h-m-p 1.6000 8.0000 0.0369 YC 1667.426098 1 3.1044 5449 | 21/51
60 h-m-p 1.6000 8.0000 0.0436 CCC 1667.404680 2 1.8258 5537 | 21/51
61 h-m-p 1.6000 8.0000 0.0145 CC 1667.385225 1 2.1868 5623 | 21/51
62 h-m-p 1.4527 8.0000 0.0218 YC 1667.372602 1 2.3187 5708 | 21/51
63 h-m-p 1.6000 8.0000 0.0244 CC 1667.366709 1 1.8061 5794 | 21/51
64 h-m-p 1.6000 8.0000 0.0170 CC 1667.363314 1 2.5454 5880 | 21/51
65 h-m-p 1.6000 8.0000 0.0187 C 1667.362020 0 1.7675 5964 | 21/51
66 h-m-p 1.6000 8.0000 0.0050 CC 1667.361722 1 2.1620 6050 | 21/51
67 h-m-p 1.6000 8.0000 0.0011 C 1667.361696 0 2.2972 6134 | 21/51
68 h-m-p 1.6000 8.0000 0.0007 C 1667.361684 0 2.2025 6218 | 21/51
69 h-m-p 1.6000 8.0000 0.0004 C 1667.361679 0 2.5297 6302 | 21/51
70 h-m-p 1.6000 8.0000 0.0005 C 1667.361677 0 2.3363 6386 | 21/51
71 h-m-p 1.6000 8.0000 0.0001 C 1667.361677 0 1.9715 6470 | 21/51
72 h-m-p 0.7231 8.0000 0.0002 +C 1667.361676 0 2.4812 6555 | 21/51
73 h-m-p 1.6000 8.0000 0.0002 +Y 1667.361676 0 4.1332 6640 | 21/51
74 h-m-p 1.6000 8.0000 0.0004 +Y 1667.361676 0 4.2451 6725 | 21/51
75 h-m-p 1.6000 8.0000 0.0007 ++ 1667.361674 m 8.0000 6809 | 21/51
76 h-m-p 0.4621 8.0000 0.0128 +C 1667.361669 0 2.4983 6894 | 21/51
77 h-m-p 1.6000 8.0000 0.0121 ++ 1667.361643 m 8.0000 6978 | 21/51
78 h-m-p 1.0508 8.0000 0.0922 +Y 1667.361595 0 3.4876 7063 | 21/51
79 h-m-p 1.5815 7.9073 0.0967 +YC 1667.361496 1 4.0676 7149 | 21/51
80 h-m-p 1.2670 6.3352 0.0586 +C 1667.361398 0 4.5153 7234 | 21/51
81 h-m-p 0.1173 0.5863 0.1819 ++ 1667.361386 m 0.5863 7318 | 21/51
82 h-m-p 0.0000 0.0053 88.6594 Y 1667.361382 0 0.0000 7402 | 21/51
83 h-m-p 1.6000 8.0000 0.0001 Y 1667.361378 0 2.6046 7486 | 21/51
84 h-m-p 0.9411 8.0000 0.0004 +Y 1667.361377 0 2.5432 7571 | 21/51
85 h-m-p 1.6000 8.0000 0.0003 +Y 1667.361375 0 4.6791 7656 | 21/51
86 h-m-p 1.6000 8.0000 0.0001 ++ 1667.361371 m 8.0000 7740 | 21/51
87 h-m-p 1.6000 8.0000 0.0006 +Y 1667.361365 0 4.2887 7825 | 21/51
88 h-m-p 1.6000 8.0000 0.0013 +C 1667.361350 0 5.6375 7910 | 21/51
89 h-m-p 1.6000 8.0000 0.0017 Y 1667.361342 0 3.0980 7994 | 21/51
90 h-m-p 1.6000 8.0000 0.0009 Y 1667.361335 0 2.7559 8078 | 21/51
91 h-m-p 1.6000 8.0000 0.0005 C 1667.361334 0 1.9549 8162 | 21/51
92 h-m-p 1.6000 8.0000 0.0000 C 1667.361334 0 2.5173 8246 | 21/51
93 h-m-p 1.6000 8.0000 0.0000 C 1667.361334 0 1.6000 8330 | 21/51
94 h-m-p 1.6000 8.0000 0.0000 Y 1667.361334 0 2.6012 8414 | 21/51
95 h-m-p 1.6000 8.0000 0.0000 -----C 1667.361334 0 0.0004 8503
Out..
lnL = -1667.361334
8504 lfun, 102048 eigenQcodon, 4303024 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) = -1677.415127 S = -1576.024708 -112.054498
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 156 patterns 57:35
did 20 / 156 patterns 57:35
did 30 / 156 patterns 57:35
did 40 / 156 patterns 57:35
did 50 / 156 patterns 57:36
did 60 / 156 patterns 57:36
did 70 / 156 patterns 57:36
did 80 / 156 patterns 57:36
did 90 / 156 patterns 57:36
did 100 / 156 patterns 57:37
did 110 / 156 patterns 57:37
did 120 / 156 patterns 57:37
did 130 / 156 patterns 57:37
did 140 / 156 patterns 57:37
did 150 / 156 patterns 57:38
did 156 / 156 patterns 57:38end of tree file.
Time used: 57:38
The loglikelihoods for models M1, M2, M7 and M8 are -1669.984392 -1669.984392 -1667.361381 -1667.361334 respectively
CLUSTAL W (1.8) multiple sequence alignment (ALTER 1.3.3)
HCoV_OC43_USA_ACRI_0213_2016_NS2a_AZP73838_1_2016_12_19_USA_Human_Betacoronavirus_1 MAVAYADKPNHFINFPLTHFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPED
4_17_25_NA_AVZ61107_1_2017_04_USA_Cattle_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQLLDEGVDCKIQTAPHISLAMLDIQPED
HZ_459_NS2a_AXX83379_1_2016_06_20_China_Unknown_Betacoronavirus_1 MAVAYADKPNHFINFPLTHFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPED
3074A_2012_NS2a_AIV41836_1_2012_02_China_Human_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPED
ICSA16_LBA_NS2_AVI15020_1_2014_France_Cattle_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQLLDEGVDCKIQTAPHISLAMLDIQPED
8164_2009_NS2a_AIV41991_1_2009_03_China_Human_Betacoronavirus_1 MAVAYADKPNHFINFPLTHFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPED
BCoV_2014_13_NS2_ARD05997_1_2014_03_04_France_Cattle_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQLLDEGVDCKIQTAPHISLAMLDIQPED
MY_U868_12_NS2a_AQN78726_1_2012_07_16_Malaysia_Human_Betacoronavirus_1 MAVAYADKPNHFINFPLTHFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPED
10290_2010_NS2a_AIV42003_1_2010_07_China_Human_Betacoronavirus_1 MAVAYADKPNHFINFPLTHFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPED
IWT_12_NA_BBM61035_1_2015_05_Japan_Unknown_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQLLDEGVDCKIQTAPHISLAMLDIQPED
TCG_30_NA_BBM61545_1_2017_12_Japan_Unknown_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQLLDEGVDCKIQTAPHISLAMLDIQPED
N09_382B_NA_ARE30022_1_2016_USA_Human_Betacoronavirus_1 MAVAYADKPNHFINFPLTHFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPED
5519_2007_NS2a_AIV41955_1_2007_06_China_Human_Betacoronavirus_1 MAVAYADKPNHFINFPLTHFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPED
BJ_165_NS2a_AXX83313_1_2015_06_09_China_Unknown_Betacoronavirus_1 MAVAYADKPNHFINFPLTHFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPED
CC_23_NS2a_AXX83325_1_2015_07_13_China_Unknown_Betacoronavirus_1 MAVAYADKPNHFINFPLTHFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPED
OC43_human_USA_873_6_1987_NS2a_AGT51678_1_1987_03_05_USA_Human_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPED
ICSA_pool_LBA_NS2_AVI15042_1_2014_France_Cattle_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQLLDEGVDCKIQTAPHISLAMLDIQPED
Obihiro12_2_NS2_BAS18864_1_2012_Japan_Horse_Betacoronavirus_1 MSVAYADRPTHFINFPLISFEGFMLNFKDLQFRLLHEGVDCKLQMVPHVSLAMLDIVQDQ
DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10631_1_2016_03_05_Morocco_Camel_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQLLDEGVDCKIQTAPHISLAMLDIQPED
5445_2007_NS2a_AIV41919_1_2007_06_China_Human_Betacoronavirus_1 MAVAYADKPNHFINFPLTHFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPED
4_17_08_NA_AVZ61117_1_2017_04_USA_Cattle_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQLLDEGVDCKIQTAPHISLVMLDIQPED
UNKNOWN_FJ425189_NA_ACJ66998_1_1994_01_01_USA_Deer_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQLLDVGVDCKIQTAPHISLAMLDIQPED
IWT_24_NA_BBM61155_1_2017_01_Japan_Unknown_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFEGFVLNYKGLQFQLLEEGVDCKIQTAPHISLAMLDIQPED
IWT_23_NA_BBM61145_1_2016_12_Japan_Unknown_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFEGFVLNYKGLQFQLLEEGVDCKIQTAPHISLAMLDIQPED
DcCoV_HKU23_camel_Nigeria_NV1092_2015_NA_QEY10647_1_2015_11_23_Nigeria_Camel_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQLLDEGVDCKIQTAPHISLAMLDIQPED
7_16_23_NA_AVZ61127_1_2016_07_USA_Cattle_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQLLDEGVDCKIQTAPHISLAMLDIQPED
5479_2007_NS2a_AIV41925_1_2007_06_China_Human_Betacoronavirus_1 MAVAYADKPNHFINFPLTHFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPED
ATCC_VR_759_ns2_YP_009555239_1_NA_USA_Unknown_Betacoronavirus_1 MAVAYADKPNHFINFPLTHFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPED
GZYF_26_NS2a_AXX83331_1_2015_05_21_China_Unknown_Betacoronavirus_1 MAVAYADKPNHFINFPLTHFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPED
BCoV_LUN_NS_AAL57306_1_NA_NA_Unknown_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQLLDEGVDCKIQTAPHISLAMLDIQPED
*:*****:*.******* *:**:**:*.***::*. *****:* .**:**.**** ::
HCoV_OC43_USA_ACRI_0213_2016_NS2a_AZP73838_1_2016_12_19_USA_Human_Betacoronavirus_1 YKSVDVAIQEVIDDMHWGDGFQIKFENPHILGTCIVLDVKGVEELHDDLVNYIRDKGCVA
4_17_25_NA_AVZ61107_1_2017_04_USA_Cattle_Betacoronavirus_1 YRSVDVAIQEVIDDMHWGEGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVA
HZ_459_NS2a_AXX83379_1_2016_06_20_China_Unknown_Betacoronavirus_1 YKSVDVAIQEVIDDMHWGDGFQIKFENPHILGTCIVLDVKGVEELHDDLVNYIRDKGCVA
3074A_2012_NS2a_AIV41836_1_2012_02_China_Human_Betacoronavirus_1 YKSVDVAIQEVIDDMHWGDGFQIKFENPHILGGCIVLDVKGLEELHYDLVNYIRDKGCVV
ICSA16_LBA_NS2_AVI15020_1_2014_France_Cattle_Betacoronavirus_1 YRSVDVAIQEVIDDMHWGEGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVA
8164_2009_NS2a_AIV41991_1_2009_03_China_Human_Betacoronavirus_1 YKSVDVAIQEVIDDMHWGDGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVA
BCoV_2014_13_NS2_ARD05997_1_2014_03_04_France_Cattle_Betacoronavirus_1 YRSVDVAIQEVIDDMHWGEGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVA
MY_U868_12_NS2a_AQN78726_1_2012_07_16_Malaysia_Human_Betacoronavirus_1 YKSVDVAIQEVIDDMHWGDGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVA
10290_2010_NS2a_AIV42003_1_2010_07_China_Human_Betacoronavirus_1 YKSVDVAIQEVIDDMHWGDGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVA
IWT_12_NA_BBM61035_1_2015_05_Japan_Unknown_Betacoronavirus_1 YRSVDVAIQEVIDDMHWGEGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVA
TCG_30_NA_BBM61545_1_2017_12_Japan_Unknown_Betacoronavirus_1 YRSVDVAIQEVIDDMHWGEGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVA
N09_382B_NA_ARE30022_1_2016_USA_Human_Betacoronavirus_1 YKSVDVAIQEVIDDMHWGDGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVA
5519_2007_NS2a_AIV41955_1_2007_06_China_Human_Betacoronavirus_1 YKSVDVAIQEVIDDMHWGDGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVA
BJ_165_NS2a_AXX83313_1_2015_06_09_China_Unknown_Betacoronavirus_1 YKSVDVAIQEVIDDMHWGDGFQIKFENPHILGTCIVLDVKGVEELHDDLVNYIRDKGCVA
CC_23_NS2a_AXX83325_1_2015_07_13_China_Unknown_Betacoronavirus_1 YKSVDVAIQEVIDDMHWGDGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVA
OC43_human_USA_873_6_1987_NS2a_AGT51678_1_1987_03_05_USA_Human_Betacoronavirus_1 YKSVDVAIQEVIDDMHWGDGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVA
ICSA_pool_LBA_NS2_AVI15042_1_2014_France_Cattle_Betacoronavirus_1 YRSVDVAIQEVIDDMHWGEGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVA
Obihiro12_2_NS2_BAS18864_1_2012_Japan_Horse_Betacoronavirus_1 IKCVDTSLQQVIDGICWDDGFHINFGNPKILGRCVVLEVKGLEELHGEIERSISEKGCVI
DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10631_1_2016_03_05_Morocco_Camel_Betacoronavirus_1 YRSVDVAIQEVIDDMHWGEGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVA
5445_2007_NS2a_AIV41919_1_2007_06_China_Human_Betacoronavirus_1 YKSVDVAIQEVIDDMHWGDGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVA
4_17_08_NA_AVZ61117_1_2017_04_USA_Cattle_Betacoronavirus_1 YRSVDVAIQEVIDDMHWGEGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVA
UNKNOWN_FJ425189_NA_ACJ66998_1_1994_01_01_USA_Deer_Betacoronavirus_1 YRSVDVAIQEVIDDMHWGEGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVA
IWT_24_NA_BBM61155_1_2017_01_Japan_Unknown_Betacoronavirus_1 YRSVDVAIQEVIDDMHWGEGFQIKFENPYILGRCIVLDVKGVEELHDDLVNYIRDKGCVA
IWT_23_NA_BBM61145_1_2016_12_Japan_Unknown_Betacoronavirus_1 YRSVDVAIQEVIDDMHWGEGFQIKFENPYILGRCIVLDVKGVEELHDDLVNYIRDKGCVA
DcCoV_HKU23_camel_Nigeria_NV1092_2015_NA_QEY10647_1_2015_11_23_Nigeria_Camel_Betacoronavirus_1 YRSVDVAIQEVIDDMHWGEGFQIKFENPHILGRCIVLDVRGVEELHDDLVNYIRDKGCVA
7_16_23_NA_AVZ61127_1_2016_07_USA_Cattle_Betacoronavirus_1 YRSVDVAIQEVIDDMHWGEGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVA
5479_2007_NS2a_AIV41925_1_2007_06_China_Human_Betacoronavirus_1 YKSVDVAIQEVIDDMHWGDGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVA
ATCC_VR_759_ns2_YP_009555239_1_NA_USA_Unknown_Betacoronavirus_1 YKSVDVAIQEVIDDMHWGDGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVA
GZYF_26_NS2a_AXX83331_1_2015_05_21_China_Unknown_Betacoronavirus_1 YKSVDVAIQEVIDDMHWGDGFQIKFENPHILGTCIVLDVKGVEELHDDLVNYIRDKGCVA
BCoV_LUN_NS_AAL57306_1_NA_NA_Unknown_Betacoronavirus_1 YRSVDVAIQEVIDDMHWGEGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVD
:.**.::*:***.: *.:**:*:* ** *** *:**:*:*:**** :: . * :****
HCoV_OC43_USA_ACRI_0213_2016_NS2a_AZP73838_1_2016_12_19_USA_Human_Betacoronavirus_1 DQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDG
4_17_25_NA_AVZ61107_1_2017_04_USA_Cattle_Betacoronavirus_1 DQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARIEIVKLGAEKKDG
HZ_459_NS2a_AXX83379_1_2016_06_20_China_Unknown_Betacoronavirus_1 DQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDG
3074A_2012_NS2a_AIV41836_1_2012_02_China_Human_Betacoronavirus_1 DQSRKWISHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDG
ICSA16_LBA_NS2_AVI15020_1_2014_France_Cattle_Betacoronavirus_1 DQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDG
8164_2009_NS2a_AIV41991_1_2009_03_China_Human_Betacoronavirus_1 DQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDG
BCoV_2014_13_NS2_ARD05997_1_2014_03_04_France_Cattle_Betacoronavirus_1 DQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDG
MY_U868_12_NS2a_AQN78726_1_2012_07_16_Malaysia_Human_Betacoronavirus_1 DQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDG
10290_2010_NS2a_AIV42003_1_2010_07_China_Human_Betacoronavirus_1 DQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDG
IWT_12_NA_BBM61035_1_2015_05_Japan_Unknown_Betacoronavirus_1 DQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDG
TCG_30_NA_BBM61545_1_2017_12_Japan_Unknown_Betacoronavirus_1 DQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDG
N09_382B_NA_ARE30022_1_2016_USA_Human_Betacoronavirus_1 DQSRKWIGHCTIAQLTDAALSIKENVDFINSKQFNYKITINPSSPARLEIVKLGAEKKDG
5519_2007_NS2a_AIV41955_1_2007_06_China_Human_Betacoronavirus_1 DQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAENKDG
BJ_165_NS2a_AXX83313_1_2015_06_09_China_Unknown_Betacoronavirus_1 DQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDG
CC_23_NS2a_AXX83325_1_2015_07_13_China_Unknown_Betacoronavirus_1 DQSRKWIGHCTIAQLTDAALSFKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDG
OC43_human_USA_873_6_1987_NS2a_AGT51678_1_1987_03_05_USA_Human_Betacoronavirus_1 DQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDG
ICSA_pool_LBA_NS2_AVI15042_1_2014_France_Cattle_Betacoronavirus_1 DQSRKWIGHYTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDG
Obihiro12_2_NS2_BAS18864_1_2012_Japan_Horse_Betacoronavirus_1 GQSRPWIAHCTIAQLTDAALVINENLDFINSLQFNYTITINPASPSRLELVKIGAEKKDG
DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10631_1_2016_03_05_Morocco_Camel_Betacoronavirus_1 DQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDG
5445_2007_NS2a_AIV41919_1_2007_06_China_Human_Betacoronavirus_1 DQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDG
4_17_08_NA_AVZ61117_1_2017_04_USA_Cattle_Betacoronavirus_1 DQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARIEIVKLGAEKKDG
UNKNOWN_FJ425189_NA_ACJ66998_1_1994_01_01_USA_Deer_Betacoronavirus_1 DQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDG
IWT_24_NA_BBM61155_1_2017_01_Japan_Unknown_Betacoronavirus_1 DQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDG
IWT_23_NA_BBM61145_1_2016_12_Japan_Unknown_Betacoronavirus_1 DQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDG
DcCoV_HKU23_camel_Nigeria_NV1092_2015_NA_QEY10647_1_2015_11_23_Nigeria_Camel_Betacoronavirus_1 DQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPLSPARLEIVKLGAEKKDG
7_16_23_NA_AVZ61127_1_2016_07_USA_Cattle_Betacoronavirus_1 DQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARIEIVKLGAEKKDG
5479_2007_NS2a_AIV41925_1_2007_06_China_Human_Betacoronavirus_1 DQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDG
ATCC_VR_759_ns2_YP_009555239_1_NA_USA_Unknown_Betacoronavirus_1 DQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDG
GZYF_26_NS2a_AXX83331_1_2015_05_21_China_Unknown_Betacoronavirus_1 DQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDG
BCoV_LUN_NS_AAL57306_1_NA_NA_Unknown_Betacoronavirus_1 DQSRKWIGHCTIAQLTDAALSIKGNVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDG
.*** **.* ********** :: *:***** ****.***** **:*:*:**:***:***
HCoV_OC43_USA_ACRI_0213_2016_NS2a_AZP73838_1_2016_12_19_USA_Human_Betacoronavirus_1 FYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYE
4_17_25_NA_AVZ61107_1_2017_04_USA_Cattle_Betacoronavirus_1 FYETIASHWMGIRFEYNPPTDKLATIMGYCCLEMVRKELEEGDLPENDDDAWFKLSYHYE
HZ_459_NS2a_AXX83379_1_2016_06_20_China_Unknown_Betacoronavirus_1 FYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYE
3074A_2012_NS2a_AIV41836_1_2012_02_China_Human_Betacoronavirus_1 FYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYE
ICSA16_LBA_NS2_AVI15020_1_2014_France_Cattle_Betacoronavirus_1 FYETIASHWMGIRFEYNPPTDKLAKIMGYCCLEVVRKELEEGDLPENDDDAWFKLSYHYE
8164_2009_NS2a_AIV41991_1_2009_03_China_Human_Betacoronavirus_1 FYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYE
BCoV_2014_13_NS2_ARD05997_1_2014_03_04_France_Cattle_Betacoronavirus_1 FYETIASHWMGIRFEYNPPTDKLAKIMGYCCLEVVRKELEEGDLPENDDDAWFKLSYHYE
MY_U868_12_NS2a_AQN78726_1_2012_07_16_Malaysia_Human_Betacoronavirus_1 FYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYE
10290_2010_NS2a_AIV42003_1_2010_07_China_Human_Betacoronavirus_1 FYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYE
IWT_12_NA_BBM61035_1_2015_05_Japan_Unknown_Betacoronavirus_1 FYETIASHWMGIRFEYNPPTYKLAMIMGYCCLEVVRKELEEGDLPENDDDAWFKLSYHYE
TCG_30_NA_BBM61545_1_2017_12_Japan_Unknown_Betacoronavirus_1 FYETIASHWMGIRFEYNPPTDKLAMIMGYCCLEVVRKELEEGDLPENDDDAWFKLSYHYE
N09_382B_NA_ARE30022_1_2016_USA_Human_Betacoronavirus_1 FYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYE
5519_2007_NS2a_AIV41955_1_2007_06_China_Human_Betacoronavirus_1 FYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYE
BJ_165_NS2a_AXX83313_1_2015_06_09_China_Unknown_Betacoronavirus_1 FYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYE
CC_23_NS2a_AXX83325_1_2015_07_13_China_Unknown_Betacoronavirus_1 FYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYE
OC43_human_USA_873_6_1987_NS2a_AGT51678_1_1987_03_05_USA_Human_Betacoronavirus_1 FYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYE
ICSA_pool_LBA_NS2_AVI15042_1_2014_France_Cattle_Betacoronavirus_1 FYETIASHWMGIRFEYNPPTDKLAKIMGYCCLEVVRKELEEGDLPENDDDAWFKLSYHYE
Obihiro12_2_NS2_BAS18864_1_2012_Japan_Horse_Betacoronavirus_1 FYKSVVSHWMGIRF----------------------------------------------
DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10631_1_2016_03_05_Morocco_Camel_Betacoronavirus_1 FYETIASHWMGIRFEYNPPTDKLAMIMGYCCLEVVRKELEEGDLPENDDDAWFKLSYHYE
5445_2007_NS2a_AIV41919_1_2007_06_China_Human_Betacoronavirus_1 FYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYE
4_17_08_NA_AVZ61117_1_2017_04_USA_Cattle_Betacoronavirus_1 FYETIASHWMGIRFEYNPPTDKLATIMGYCCLEMVRKELEEGDLPENDDDAWFKLSYHYE
UNKNOWN_FJ425189_NA_ACJ66998_1_1994_01_01_USA_Deer_Betacoronavirus_1 FYETIASHWMGIRFEYNPPTDKLAMIMGYCCLEVVRKELEEGDLPENDDDAWFKLSYHYE
IWT_24_NA_BBM61155_1_2017_01_Japan_Unknown_Betacoronavirus_1 FYEAIASHWMGIRFEYNPPTDKLAMIMGYCCLELVRKELEEGDLPENDDDAWFKLSYHYE
IWT_23_NA_BBM61145_1_2016_12_Japan_Unknown_Betacoronavirus_1 FYEAIASHWMGIRFEYNPPTDKLAMIMGYCCLELVRKELEEGDLPENDDDAWFKLSYHYE
DcCoV_HKU23_camel_Nigeria_NV1092_2015_NA_QEY10647_1_2015_11_23_Nigeria_Camel_Betacoronavirus_1 FYETIASHWMGIRFEYNPPTEKLAMIMGYCCLEMVRKELEEGDLPENDDDAWFKLSYHYE
7_16_23_NA_AVZ61127_1_2016_07_USA_Cattle_Betacoronavirus_1 FYETIASHWMGIRFEYNPPTDKLATIMGYCCLEMVRKELEEGDLPENDDDAWFKLSYHYE
5479_2007_NS2a_AIV41925_1_2007_06_China_Human_Betacoronavirus_1 FYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYE
ATCC_VR_759_ns2_YP_009555239_1_NA_USA_Unknown_Betacoronavirus_1 FYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYE
GZYF_26_NS2a_AXX83331_1_2015_05_21_China_Unknown_Betacoronavirus_1 FYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYE
BCoV_LUN_NS_AAL57306_1_NA_NA_Unknown_Betacoronavirus_1 FYETIASHWMGIRFEYNPPTDKLAMIMGYCCLEVVRKELEEGDLPENDDDAWFKLSYHYE
**:::.********
HCoV_OC43_USA_ACRI_0213_2016_NS2a_AZP73838_1_2016_12_19_USA_Human_Betacoronavirus_1 NNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY
4_17_25_NA_AVZ61107_1_2017_04_USA_Cattle_Betacoronavirus_1 NNSWFFRHVYRKSSYFRKSCQNLDCNCLGFYESSVEED
HZ_459_NS2a_AXX83379_1_2016_06_20_China_Unknown_Betacoronavirus_1 NNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY
3074A_2012_NS2a_AIV41836_1_2012_02_China_Human_Betacoronavirus_1 NNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY
ICSA16_LBA_NS2_AVI15020_1_2014_France_Cattle_Betacoronavirus_1 NNSWFFRHVYRKSSYFRKSCQNLDCNCLGFYESSFEED
8164_2009_NS2a_AIV41991_1_2009_03_China_Human_Betacoronavirus_1 NNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY
BCoV_2014_13_NS2_ARD05997_1_2014_03_04_France_Cattle_Betacoronavirus_1 NNSWFFRHVYRKSSYFRKSCQNLDCNCLGFYESSFEED
MY_U868_12_NS2a_AQN78726_1_2012_07_16_Malaysia_Human_Betacoronavirus_1 NNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY
10290_2010_NS2a_AIV42003_1_2010_07_China_Human_Betacoronavirus_1 NNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY
IWT_12_NA_BBM61035_1_2015_05_Japan_Unknown_Betacoronavirus_1 NNSWFFRHVYRKSSYFRKSCQNLDCNCLGFYESSVEED
TCG_30_NA_BBM61545_1_2017_12_Japan_Unknown_Betacoronavirus_1 NNSWFFRHVYRKSSYFRKSCQNLDCNCLGFYESSVEED
N09_382B_NA_ARE30022_1_2016_USA_Human_Betacoronavirus_1 NNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY
5519_2007_NS2a_AIV41955_1_2007_06_China_Human_Betacoronavirus_1 NNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY
BJ_165_NS2a_AXX83313_1_2015_06_09_China_Unknown_Betacoronavirus_1 NNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY
CC_23_NS2a_AXX83325_1_2015_07_13_China_Unknown_Betacoronavirus_1 NNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY
OC43_human_USA_873_6_1987_NS2a_AGT51678_1_1987_03_05_USA_Human_Betacoronavirus_1 NNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY
ICSA_pool_LBA_NS2_AVI15042_1_2014_France_Cattle_Betacoronavirus_1 NNSWFFRHVYRKSSYFRKSCQNLDCNCLGFYESSFEED
Obihiro12_2_NS2_BAS18864_1_2012_Japan_Horse_Betacoronavirus_1 --------------------------------------
DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10631_1_2016_03_05_Morocco_Camel_Betacoronavirus_1 NNSWFFRHVYRKSSCFRKSCQNLDCNCLGFYESSFEED
5445_2007_NS2a_AIV41919_1_2007_06_China_Human_Betacoronavirus_1 NNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY
4_17_08_NA_AVZ61117_1_2017_04_USA_Cattle_Betacoronavirus_1 NNSWFFRHVYRKSSYFRKSCQNLDCNCLGFYESSVEED
UNKNOWN_FJ425189_NA_ACJ66998_1_1994_01_01_USA_Deer_Betacoronavirus_1 NNSWFFRYVYRKSSYFRKSCQNLDCNCLGFYESSVEED
IWT_24_NA_BBM61155_1_2017_01_Japan_Unknown_Betacoronavirus_1 NNSWFFRHVYRKSSHFRKSCQNLDCNCLEFYESSVEED
IWT_23_NA_BBM61145_1_2016_12_Japan_Unknown_Betacoronavirus_1 NNSWFFRHVYRKSSHFRKSCQNLDCNCLEFYESSVEED
DcCoV_HKU23_camel_Nigeria_NV1092_2015_NA_QEY10647_1_2015_11_23_Nigeria_Camel_Betacoronavirus_1 NNSWFFRHVYRKSSYFRKSCQNLDCNCLGFYESSFEED
7_16_23_NA_AVZ61127_1_2016_07_USA_Cattle_Betacoronavirus_1 NNSWFFRHVYRKSSYFRKSCQNLDCNCLGFYESSVEED
5479_2007_NS2a_AIV41925_1_2007_06_China_Human_Betacoronavirus_1 NNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY
ATCC_VR_759_ns2_YP_009555239_1_NA_USA_Unknown_Betacoronavirus_1 NNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY
GZYF_26_NS2a_AXX83331_1_2015_05_21_China_Unknown_Betacoronavirus_1 NNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY
BCoV_LUN_NS_AAL57306_1_NA_NA_Unknown_Betacoronavirus_1 NNSWFFRHVYRKSSYFRKSCQNLDCNCLGFYESSVEED
>HCoV_OC43_USA_ACRI_0213_2016_NS2a_AZP73838_1_2016_12_19_USA_Human_Betacoronavirus_1 ATGGCTGTCGCTTATGCAGACAAGCCTAATCATTTTATCAATTTTCCACTTACCCATTTTCAGGGTTTTGTGTTAAATTATAAAGGTTTACAATTTCAAATTCTCGATGAAGGAGTGGATTGTAAAATACAAACAGCGCCACACATTAGTCTTACTATGCTGGATATACAGCCTGAAGACTATAAAAGTGTTGATGTCGCTATTCAAGAAGTTATTGATGATATGCATTGGGGTGATGGTTTTCAGATTAAATTTGAGAATCCTCACATCCTAGGAACATGCATAGTTTTAGATGTTAAAGGTGTAGAAGAATTGCATGACGATTTAGTTAATTACATTCGTGATAAAGGTTGTGTTGCTGACCAATCCAGGAAATGGATTGGCCATTGTACCATAGCTCAACTCACGGATGCAGCACTGTCCATTAAGGAAAATGTTGATTTTATAAACAGCATGCAATTCAATTATAAAATCACCATCAACCCCTCATCACCAGCTAGACTTGAAATAGTTAAGCTCGGTGCTGAAAAGAAAGATGGTTTTTATGAAACCATAGTTAGTCACTGGATGGGAATTCGTTTTGAATACACATCGCCCACTGATAAGCTAGCTATGATTATGGGTTATTGTTGTTTAGATGTGGTACGTAAAGAGCTAGAAGAAGGCGATCTTCCCGAGAATGATGATGATGCTTGGTTTAAGCTATCGTACCATTATGAAAACAATTCTTGGTTCTTCCGACATGTCTACAGGAAAAGTTTTCATTTCCGTAAGGCTTGTCAAAATTTAGATTGTAATTGTTTGGGGTTTTATGAATCTTCAGTTGAAGAATAT >4_17_25_NA_AVZ61107_1_2017_04_USA_Cattle_Betacoronavirus_1 ATGGCAGTCGCTTATGCAGACAAGCCTAATCACTTTATCAATTTTCCACTTACCCAGTTTCAGGGTTTTGTGTTAAATTATAAAGGTTTACAATTCCAACTTCTCGATGAAGGAGTGGATTGTAAAATACAAACAGCGCCTCACATTAGTCTTGCTATGCTGGATATTCAGCCTGAAGACTACAGAAGTGTTGATGTCGCTATTCAAGAAGTTATTGATGATATGCATTGGGGTGAGGGCTTTCAGATTAAATTTGAAAACCCCCATATCCTAGGAAGATGCATAGTTTTAGATGTTAAAGGTGTAGAAGAATTGCATGATGATTTAGTTAATTACATTCGTGATAAAGGTTGTGTTGCTGACCAATCCAGGAAGTGGATTGGACATTGCACCATAGCCCAACTCACTGATGCTGCACTTTCCATTAAGGAAAATGTTGATTTTATAAACAGCATGCAATTCAACTATAAAATCACTATCAATCCCTCATCACCGGCTAGAATTGAAATAGTTAAGCTTGGTGCTGAAAAGAAAGATGGTTTTTATGAAACCATAGCTAGCCACTGGATGGGAATTCGTTTTGAATATAATCCACCCACTGATAAGCTAGCTACGATTATGGGTTATTGTTGTTTAGAAATGGTGCGTAAAGAGCTAGAAGAAGGTGACCTTCCCGAGAATGATGATGATGCTTGGTTTAAGCTATCGTACCATTATGAAAACAATTCTTGGTTCTTTCGACATGTCTACAGGAAAAGTTCTTATTTCCGTAAGTCTTGTCAAAATTTAGATTGTAATTGTTTGGGGTTTTATGAATCTTCAGTTGAAGAAGAC >HZ_459_NS2a_AXX83379_1_2016_06_20_China_Unknown_Betacoronavirus_1 ATGGCTGTCGCTTATGCAGACAAGCCTAATCATTTTATCAATTTTCCACTTACCCATTTTCAGGGTTTTGTGTTAAATTATAAAGGTTTACAATTTCAAATTCTCGATGAAGGAGTGGATTGTAAAATACAAACAGCACCACACATTAGTCTTACTATGCTGGATATACAGCCTGAAGACTATAAAAGTGTTGATGTCGCTATTCAAGAAGTTATTGATGATATGCATTGGGGTGATGGTTTTCAGATTAAATTTGAGAATCCTCACATCCTAGGAACATGCATAGTTTTAGATGTTAAAGGTGTAGAAGAATTGCATGACGATTTAGTTAATTACATTCGTGATAAAGGTTGTGTTGCTGACCAATCCAGGAAATGGATTGGCCATTGTACCATAGCTCAACTCACGGATGCAGCACTGTCCATTAAGGAAAATGTTGATTTTATAAACAGCATGCAATTCAATTATAAAATCACCATCAACCCCTCATCACCAGCTAGACTTGAAATAGTTAAGCTCGGTGCTGAAAAGAAAGATGGTTTTTATGAAACCATAGTTAGTCACTGGATGGGAATTCGTTTTGAATACACATCGCCCACTGATAAGCTAGCTATGATTATGGGTTATTGTTGTTTAGATGTGGTACGTAAAGAGCTAGAAGAAGGCGATCTTCCCGAGAATGATGATGATGCTTGGTTTAAGCTATCGTACCATTATGAAAACAATTCTTGGTTCTTCCGACATGTCTACAGGAAAAGTTTTCATTTCCGTAAGGCTTGTCAAAATTTAGATTGTAATTGTTTGGGGTTTTATGAATCTTCAGTTGAAGAATAT >3074A_2012_NS2a_AIV41836_1_2012_02_China_Human_Betacoronavirus_1 ATGGCTGTCGCTTATGCAGACAAGCCTAATCATTTTATCAATTTTCCACTTACCCAGTTTCAGGGTTTTGTGTTAAATTATAAAGGTTTACAATTTCAAATTCTCGATGAAGGAGTGGATTGTAAAATACAAACAGCTCCACACATTAGTCTTACTATGCTGGATATACAGCCTGAAGACTATAAAAGTGTTGATGTCGCTATTCAAGAAGTTATTGATGATATGCATTGGGGTGATGGTTTTCAGATTAAATTTGAGAATCCTCACATCCTAGGAGGATGCATAGTTTTAGATGTTAAAGGTTTAGAAGAATTGCATTACGATTTAGTTAATTACATTCGTGATAAAGGTTGTGTTGTTGACCAATCCAGGAAATGGATTAGCCATTGCACCATAGCTCAACTCACGGATGCAGCACTGTCCATTAAGGAAAATGTTGATTTTATAAACAGCATGCAATTCAATTATAAAATCACCATCAACCCCTCATCACCGGCTAGACTTGAAATAGTTAAGCTCGGTGCTGAAAAGAAAGATGGTTTTTATGAAACCATAGTTAGTCACTGGATGGGAATTCGTTTTGAATATACATCACCCACTGATAAGCTAGCTATGATTATGGGTTATTGTTGTTTAGATGTGGTACGTAAAGAGCTAGAAGAAGGCGATCTTCCTGAGAATGATGATGATGCTTGGTTTAAGCTATCGTACCATTATGAAAACAATTCTTGGTTCTTCCGACATGTCTACAGGAAAAGTTTTCATTTCCGTAAGGCTTGTCAAAATTTAGATTGTAATTGTTTGGGGTTTTATGAATCTTCAGTTGAAGAATAT >ICSA16_LBA_NS2_AVI15020_1_2014_France_Cattle_Betacoronavirus_1 ATGGCAGTCGCTTACGCAGACAAGCCTAACCACTTTATTAATTTTCCACTTACCCAGTTTCAGGGTTTTGTGTTAAATTATAAAGGTTTACAATTTCAACTTCTCGATGAAGGAGTGGATTGTAAAATACAAACAGCGCCTCACATTAGTCTTGCTATGCTGGATATTCAGCCTGAAGACTACAGAAGTGTTGATGTTGCTATTCAAGAAGTTATTGATGACATGCATTGGGGTGAGGGCTTTCAGATTAAATTTGAAAACCCCCATATCCTAGGAAGATGCATAGTTTTAGATGTTAAAGGTGTAGAAGAATTGCATGATGATTTAGTTAATTACATTCGTGATAAAGGTTGTGTTGCTGACCAATCCAGGAAATGGATTGGACATTGCACCATAGCCCAACTCACGGATGCTGCACTTTCCATTAAGGAAAATGTTGATTTTATAAACAGCATGCAATTCAATTATAAAATCACTATCAATCCCTCATCACCGGCTAGACTTGAAATAGTTAAGCTTGGTGCTGAAAAGAAAGATGGTTTTTATGAAACCATAGCTAGCCACTGGATGGGAATTCGTTTTGAATATAATCCACCCACTGATAAGCTAGCTAAGATTATGGGTTATTGTTGTTTAGAAGTGGTGCGTAAAGAGCTAGAAGAAGGTGATCTTCCTGAGAATGATGATGATGCTTGGTTTAAGCTATCGTACCATTATGAAAACAATTCTTGGTTCTTTCGACATGTCTACAGGAAAAGTTCTTATTTCCGTAAGTCTTGTCAAAATTTAGATTGTAATTGTTTGGGGTTTTATGAATCTTCATTTGAAGAAGAC >8164_2009_NS2a_AIV41991_1_2009_03_China_Human_Betacoronavirus_1 ATGGCTGTCGCTTATGCAGACAAGCCTAATCATTTTATCAATTTTCCACTTACCCATTTTCAGGGTTTTGTGTTAAATTATAAAGGTTTACAATTTCAAATTCTCGATGAAGGAGTGGATTGTAAAATACAAACAGCGCCACACATTAGTCTTACTATGCTGGACATACAGCCTGAAGACTATAAAAGTGTTGATGTCGCTATTCAAGAAGTTATTGATGATATGCATTGGGGTGATGGTTTTCAGATTAAATTTGAGAATCCTCACATCCTAGGAAGATGCATAGTTTTAGATGTTAAAGGTGTAGAAGAATTGCATGACGATTTAGTTAATTACATTCGTGATAAAGGTTGTGTTGCTGACCAATCCAGGAAATGGATTGGCCATTGTACCATAGCTCAACTCACGGATGCAGCACTGTCCATTAAGGAAAATGTTGATTTTATAAACAGCATGCAATTCAATTATAAAATCACCATCAACCCCTCATCACCAGCTAGACTTGAAATAGTTAAGCTCGGTGCTGAAAAGAAAGATGGTTTTTATGAAACCATAGTTAGTCACTGGATGGGAATTCGTTTTGAATACACATCACCCACTGATAAGCTAGCTATGATTATGGGTTATTGTTGTTTAGATGTGGTACGTAAAGAGCTAGAAGAAGGCGATCTTCCCGAGAATGATGATGATGCTTGGTTTAAGCTATCGTACCATTATGAAAACAATTCTTGGTTCTTCCGACATGTCTACAGGAAAAGTTTTCATTTCCGTAAGGCTTGTCAAAATTTAGATTGTAATTGTTTGGGGTTTTATGAATCTTCAGTTGAAGAATAT >BCoV_2014_13_NS2_ARD05997_1_2014_03_04_France_Cattle_Betacoronavirus_1 ATGGCAGTCGCTTACGCAGACAAGCCTAACCACTTTATTAATTTTCCACTTACCCAGTTTCAGGGTTTTGTGTTAAATTATAAAGGTTTACAATTTCAACTTCTCGATGAAGGAGTGGATTGTAAAATACAAACAGCGCCTCACATTAGTCTTGCTATGCTGGATATTCAGCCTGAAGACTACAGAAGTGTTGATGTTGCTATTCAAGAAGTTATTGATGACATGCATTGGGGTGAGGGCTTTCAGATTAAATTTGAAAACCCCCATATCCTAGGAAGATGCATAGTTTTAGATGTTAAAGGTGTAGAAGAATTGCATGATGATTTAGTTAATTACATTCGTGATAAAGGTTGTGTTGCTGACCAATCCAGGAAATGGATTGGACATTGCACCATAGCCCAACTCACGGATGCTGCACTTTCCATTAAGGAAAATGTTGATTTTATAAACAGCATGCAATTCAATTATAAAATCACTATCAATCCCTCATCACCGGCTAGACTTGAAATAGTTAAGCTTGGTGCTGAAAAGAAAGATGGTTTTTATGAAACCATAGCTAGCCACTGGATGGGAATTCGTTTTGAATATAATCCACCCACTGATAAGCTAGCTAAGATTATGGGTTATTGTTGTTTAGAAGTGGTGCGTAAAGAGCTAGAAGAAGGTGATCTTCCCGAGAATGATGATGATGCTTGGTTTAAGCTATCGTACCATTATGAAAACAATTCTTGGTTCTTTCGACATGTCTACAGGAAAAGTTCTTATTTCCGTAAGTCTTGTCAAAATTTAGATTGTAATTGTTTGGGGTTTTATGAATCTTCATTTGAAGAAGAC >MY_U868_12_NS2a_AQN78726_1_2012_07_16_Malaysia_Human_Betacoronavirus_1 ATGGCTGTCGCTTATGCAGACAAGCCTAATCATTTTATCAATTTTCCACTTACCCATTTTCAGGGTTTTGTGTTAAATTATAAAGGTTTACAATTTCAAATTCTCGATGAAGGAGTGGATTGTAAAATACAAACAGCGCCACACATTAGTCTTACTATGCTGGATATACAGCCTGAAGACTATAAAAGTGTTGATGTCGCTATTCAAGAAGTTATTGATGATATGCATTGGGGTGATGGTTTTCAGATTAAATTTGAGAATCCTCACATCCTAGGAAGATGCATAGTTTTAGATGTTAAAGGTGTAGAAGAATTGCATGACGATTTAGTTAATTACATTCGTGATAAAGGTTGTGTTGCTGACCAATCCAGGAAATGGATTGGCCATTGTACCATAGCTCAACTCACGGATGCAGCACTGTCCATTAAGGAAAATGTTGATTTTATAAACAGCATGCAATTCAATTATAAAATCACCATCAACCCCTCATCACCAGCTAGACTTGAAATAGTTAAGCTCGGTGCTGAAAAGAAAGATGGTTTTTATGAAACCATAGTTAGTCACTGGATGGGAATTCGTTTTGAATACACATCACCCACTGATAAGCTAGCTATGATTATGGGTTATTGTTGTTTAGATGTGGTACGTAAAGAGCTAGAAGAAGGCGATCTTCCCGAGAATGATGATGATGCTTGGTTTAAGCTATCGTACCATTATGAAAACAATTCTTGGTTCTTCCGACATGTCTACAGGAAAAGTTTTCATTTCCGTAAGGCTTGTCAAAATTTAGATTGTAATTGTTTGGGGTTTTATGAATCTTCAGTTGAAGAATAT >10290_2010_NS2a_AIV42003_1_2010_07_China_Human_Betacoronavirus_1 ATGGCTGTCGCTTATGCAGACAAGCCTAATCATTTTATCAATTTTCCACTTACCCATTTTCAGGGTTTTGTGTTAAATTATAAAGGTTTACAATTTCAAATTCTCGATGAAGGAGTGGATTGTAAAATACAAACAGCGCCACACATTAGTCTTACTATGCTGGACATACAGCCTGAAGACTATAAAAGTGTTGATGTCGCTATTCAAGAAGTTATTGATGATATGCATTGGGGTGATGGTTTTCAGATTAAATTTGAGAATCCTCACATCCTAGGAAGATGCATAGTTTTAGATGTTAAAGGTGTAGAAGAATTGCATGACGATTTAGTTAATTACATTCGTGATAAAGGTTGTGTTGCTGACCAATCCAGGAAATGGATTGGCCATTGTACCATAGCTCAACTCACGGATGCAGCACTGTCCATTAAGGAAAATGTTGATTTTATAAACAGCATGCAATTCAATTATAAAATCACCATCAACCCCTCATCACCAGCTAGACTTGAAATAGTTAAGCTCGGTGCTGAAAAGAAAGATGGTTTTTATGAAACCATAGTTAGTCACTGGATGGGAATTCGTTTTGAATACACATCACCCACTGATAAGCTAGCTATGATTATGGGTTATTGTTGTTTAGATGTGGTACGTAAAGAGCTAGAAGAAGGCGATCTTCCCGAGAATGATGATGATGCTTGGTTTAAGCTATCGTACCATTATGAAAACAATTCTTGGTTCTTCCGACATGTCTACAGGAAAAGTTTTCATTTCCGTAAGGCTTGTCAAAATTTAGATTGTAATTGTTTGGGGTTTTATGAATCTTCAGTTGAAGAATAT >IWT_12_NA_BBM61035_1_2015_05_Japan_Unknown_Betacoronavirus_1 ATGGCAGTCGCTTATGCAGACAAGCCTAATCACTTTATCAATTTTCCACTTACCCAGTTTCAGGGTTTTGTGTTAAATTATAAAGGTTTACAATTTCAACTTCTCGATGAAGGAGTGGATTGTAAAATACAAACAGCGCCTCACATTAGTCTTGCTATGCTGGATATTCAGCCTGAAGACTACAGAAGTGTTGATGTTGCTATTCAAGAAGTTATTGATGATATGCATTGGGGTGAGGGCTTTCAGATTAAATTTGAAAACCCCCATATCCTAGGAAGATGCATAGTTTTAGATGTTAAAGGTGTAGAAGAATTGCATGATGATTTAGTTAATTACATTCGTGATAAAGGTTGTGTTGCTGACCAATCCAGGAAGTGGATTGGACATTGCACCATAGCCCAACTCACTGATGCTGCACTTTCCATTAAGGAAAATGTTGATTTTATAAACAGCATGCAATTCAACTATAAAATCACTATCAATCCCTCATCACCGGCTAGACTTGAAATAGTTAAGCTTGGTGCTGAAAAGAAAGATGGTTTTTATGAAACCATAGCTAGCCACTGGATGGGAATTCGTTTTGAATATAATCCACCCACTTATAAGCTAGCTATGATTATGGGTTATTGTTGTTTAGAAGTGGTGCGTAAAGAGCTAGAAGAAGGTGACCTTCCCGAGAATGATGATGATGCTTGGTTTAAGCTCTCGTACCATTATGAAAACAATTCTTGGTTCTTTCGACATGTCTACAGGAAAAGTTCTTATTTCCGTAAGTCTTGTCAAAATTTAGATTGTAATTGTTTGGGGTTTTATGAATCTTCAGTTGAAGAAGAC >TCG_30_NA_BBM61545_1_2017_12_Japan_Unknown_Betacoronavirus_1 ATGGCAGTCGCTTATGCAGACAAGCCTAATCACTTTATCAATTTTCCACTTACCCAGTTTCAGGGTTTTGTGTTAAATTATAAAGGTTTACAATTTCAACTTCTCGATGAAGGAGTGGATTGTAAAATACAAACAGCGCCTCACATTAGTCTTGCTATGCTGGATATTCAGCCTGAAGACTACAGAAGTGTTGATGTTGCTATTCAAGAAGTTATTGATGATATGCATTGGGGTGAGGGCTTTCAGATTAAATTTGAAAACCCCCATATCCTAGGAAGATGCATAGTTTTAGATGTTAAAGGTGTAGAAGAATTGCATGATGATTTAGTCAATTACATTCGTGATAAAGGTTGTGTTGCTGACCAATCCAGGAAGTGGATTGGACATTGCACCATAGCCCAACTCACTGATGCTGCACTTTCCATTAAGGAAAATGTTGATTTTATAAACAGCATGCAATTCAACTATAAAATCACTATCAATCCCTCATCACCGGCTAGACTTGAAATAGTTAAGCTTGGTGCTGAAAAGAAAGATGGTTTTTATGAAACCATAGCTAGCCACTGGATGGGAATTCGTTTTGAATATAATCCACCCACTGATAAGCTAGCTATGATTATGGGTTATTGTTGTTTAGAAGTGGTGCGTAAAGAGCTAGAAGAAGGTGACCTTCCCGAGAATGATGATGATGCTTGGTTTAAGCTCTCGTACCATTATGAAAACAATTCTTGGTTCTTTCGACATGTCTACAGGAAAAGTTCTTACTTCCGTAAGTCTTGTCAAAATTTAGATTGTAATTGTTTGGGGTTTTATGAATCTTCAGTTGAAGAAGAC >N09_382B_NA_ARE30022_1_2016_USA_Human_Betacoronavirus_1 ATGGCTGTCGCTTATGCAGACAAGCCTAATCATTTTATCAATTTTCCACTTACCCATTTTCAGGGTTTTGTGTTAAATTATAAAGGTTTACAATTTCAAATTCTCGATGAAGGAGTGGATTGTAAAATACAAACAGCGCCACACATTAGTCTTACTATGCTGGACATACAGCCTGAAGACTATAAAAGTGTTGATGTCGCTATTCAAGAAGTTATTGATGATATGCATTGGGGTGATGGTTTTCAGATTAAATTTGAGAATCCTCACATCCTAGGAAGATGCATAGTTTTAGATGTTAAAGGTGTAGAAGAATTGCATGACGATTTAGTTAATTACATTCGTGATAAAGGTTGTGTTGCTGACCAATCCAGGAAATGGATTGGCCATTGTACCATAGCTCAACTCACGGATGCAGCACTGTCCATTAAGGAAAATGTTGATTTTATAAACAGCAAGCAATTCAATTATAAAATCACCATCAACCCCTCATCACCAGCTAGACTTGAAATAGTTAAGCTCGGTGCTGAAAAGAAAGATGGTTTTTATGAAACCATAGTTAGTCACTGGATGGGAATTCGTTTTGAATACACATCACCCACTGATAAGCTAGCTATGATTATGGGTTATTGTTGTTTAGATGTGGTACGTAAAGAGCTAGAAGAAGGCGATCTTCCCGAGAATGATGATGATGCTTGGTTTAAGCTATCGTACCATTATGAAAACAATTCTTGGTTCTTCCGACATGTCTACAGGAAAAGTTTTCATTTCCGTAAGGCTTGTCAAAATTTAGATTGTAATTGTTTGGGGTTTTATGAATCTTCAGTTGAAGAATAT >5519_2007_NS2a_AIV41955_1_2007_06_China_Human_Betacoronavirus_1 ATGGCTGTCGCTTATGCAGACAAGCCTAATCATTTTATCAATTTTCCACTTACCCATTTTCAGGGTTTTGTGTTAAATTATAAAGGTTTACAATTTCAAATTCTCGATGAAGGAGTGGATTGTAAAATACAAACAGCGCCACACATTAGTCTTACTATGCTGGACATACAGCCTGAAGACTATAAAAGTGTTGATGTCGCTATTCAAGAAGTTATTGATGATATGCATTGGGGTGATGGTTTTCAGATTAAATTTGAGAATCCTCACATCCTAGGAAGATGCATAGTTTTAGATGTTAAAGGTGTAGAAGAATTGCATGACGATTTAGTTAATTACATTCGTGATAAAGGTTGTGTTGCTGACCAATCCAGGAAATGGATTGGCCATTGTACCATAGCTCAACTCACGGATGCAGCACTGTCCATTAAGGAAAATGTTGATTTTATAAACAGCATGCAATTCAATTATAAAATCACCATCAACCCCTCATCACCAGCTAGACTTGAAATAGTTAAGCTCGGTGCTGAAAATAAAGATGGTTTTTATGAAACCATAGTTAGTCACTGGATGGGAATTCGTTTTGAATACACATCACCCACTGATAAGCTAGCTATGATTATGGGTTATTGTTGTTTAGATGTGGTACGTAAAGAGCTAGAAGAAGGCGATCTTCCCGAGAATGATGATGATGCTTGGTTTAAGCTATCGTACCATTATGAAAACAATTCTTGGTTCTTCCGACATGTCTACAGGAAAAGTTTTCATTTCCGTAAGGCTTGTCAAAATTTAGATTGTAATTGTTTGGGGTTTTATGAATCTTCAGTTGAAGAATAT >BJ_165_NS2a_AXX83313_1_2015_06_09_China_Unknown_Betacoronavirus_1 ATGGCTGTCGCTTATGCAGACAAGCCTAATCATTTTATCAATTTTCCACTTACCCATTTTCAGGGTTTTGTGTTAAATTATAAAGGTTTACAATTTCAAATTCTCGATGAAGGAGTGGATTGTAAAATACAAACAGCGCCACACATTAGTCTTACTATGCTGGATATACAGCCTGAAGACTATAAAAGTGTTGATGTCGCTATTCAAGAAGTTATTGATGATATGCATTGGGGTGATGGTTTTCAGATTAAATTTGAGAATCCTCACATCCTAGGAACATGCATAGTTTTAGATGTTAAAGGTGTAGAAGAATTGCATGACGATTTAGTTAATTACATTCGTGATAAAGGTTGTGTTGCTGACCAATCCAGGAAATGGATTGGCCATTGTACCATAGCTCAACTCACGGATGCAGCACTGTCCATTAAGGAAAATGTTGATTTTATAAACAGCATGCAATTCAATTATAAAATCACCATCAACCCCTCATCACCAGCTAGACTTGAAATAGTTAAGCTCGGTGCTGAAAAGAAAGATGGTTTTTATGAAACCATAGTTAGTCACTGGATGGGAATTCGTTTTGAATACACATCGCCCACTGATAAGCTAGCTATGATTATGGGTTATTGTTGTTTAGATGTGGTACGTAAAGAGCTAGAAGAAGGCGATCTTCCCGAGAATGATGATGATGCTTGGTTTAAGCTATCGTACCATTATGAAAACAATTCTTGGTTCTTCCGACATGTCTACAGGAAAAGTTTTCATTTCCGTAAGGCTTGTCAAAATTTAGATTGTAATTGTTTGGGGTTTTATGAATCTTCAGTTGAAGAATAT >CC_23_NS2a_AXX83325_1_2015_07_13_China_Unknown_Betacoronavirus_1 ATGGCTGTCGCTTATGCAGACAAGCCTAATCATTTTATCAATTTTCCACTTACCCATTTTCAGGGTTTTGTGTTAAATTATAAAGGTTTACAATTTCAAATTCTCGATGAAGGAGTGGATTGTAAAATACAAACAGCGCCACACATTAGTCTTACTATGCTGGACATACAGCCTGAAGACTATAAAAGTGTTGATGTCGCTATTCAAGAAGTTATTGATGATATGCATTGGGGTGATGGTTTTCAGATTAAATTTGAGAATCCTCACATCCTAGGAAGATGCATAGTTTTAGATGTTAAAGGTGTAGAAGAATTGCATGACGATTTAGTTAATTACATTCGTGATAAAGGTTGTGTTGCTGACCAATCCAGGAAATGGATTGGCCATTGTACCATAGCTCAACTCACGGATGCAGCACTGTCCTTTAAGGAAAATGTTGATTTTATAAACAGCATGCAATTCAATTATAAAATCACCATCAACCCCTCATCACCAGCTAGACTTGAAATAGTTAAGCTCGGTGCTGAAAAGAAAGATGGTTTTTATGAAACCATAGTTAGTCACTGGATGGGAATTCGTTTTGAATACACATCACCCACTGATAAGCTAGCTATGATTATGGGTTATTGTTGTTTAGATGTGGTACGTAAAGAGCTAGAAGAAGGCGATCTTCCCGAGAATGATGATGATGCTTGGTTTAAGCTATCGTACCATTATGAAAACAATTCTTGGTTCTTCCGACATGTCTACAGGAAAAGTTTTCATTTCCGTAAGGCTTGTCAAAATTTAGATTGTAATTGTTTGGGGTTTTATGAATCTTCAGTTGAAGAATAT >OC43_human_USA_873_6_1987_NS2a_AGT51678_1_1987_03_05_USA_Human_Betacoronavirus_1 ATGGCTGTCGCTTATGCAGACAAGCCTAATCATTTTATCAATTTTCCACTTACCCAGTTTCAGGGTTTTGTGTTAAATTATAAAGGTTTACAATTTCAAATTCTCGATGAAGGAGTGGATTGTAAAATACAAACAGCGCCACACATTAGTCTTACTATGCTGGACATACAGCCTGAAGACTATAAAAGTGTTGATGTCGCTATTCAAGAAGTTATTGATGATATGCATTGGGGTGATGGTTTTCAGATTAAATTTGAGAATCCTCACATCCTAGGAAGATGCATAGTTTTAGATGTTAAAGGTGTAGAAGAATTGCATGACGATTTAGTTAATTACATTCGTGATAAAGGTTGTGTTGCTGACCAATCCAGGAAATGGATTGGCCATTGCACCATAGCTCAACTCACGGATGCAGCACTGTCCATTAAGGAAAATGTTGATTTTATAAACAGCATGCAATTCAATTATAAAATCACCATCAACCCCTCATCACCGGCTAGACTTGAAATAGTTAAGCTCGGTGCTGAAAAGAAAGATGGTTTTTATGAAACCATAGTTAGTCACTGGATGGGAATTCGTTTTGAATATACATCACCCACTGATAAGCTAGCTATGATTATGGGTTATTGTTGTTTAGATGTGGTACGTAAAGAGCTAGAAGAAGGCGATCTTCCTGAGAATGATGATGATGCTTGGTTTAAGCTATCGTACCATTATGAAAACAATTCTTGGTTCTTCCGACATGTCTACAGGAAAAGTTTTCATTTCCGTAAGGCTTGTCAAAATTTAGATTGTAATTGTTTGGGGTTTTATGAATCTTCAGTTGAAGAATAT >ICSA_pool_LBA_NS2_AVI15042_1_2014_France_Cattle_Betacoronavirus_1 ATGGCAGTCGCTTACGCAGACAAGCCTAACCACTTTATTAATTTTCCACTTACCCAGTTTCAGGGTTTTGTGTTAAATTATAAAGGTTTACAATTTCAACTTCTCGATGAAGGAGTGGATTGTAAAATACAAACAGCGCCTCACATTAGTCTTGCTATGCTGGATATTCAGCCTGAAGACTACAGAAGTGTTGATGTTGCTATTCAAGAAGTTATTGATGACATGCATTGGGGTGAGGGCTTTCAGATTAAATTTGAAAACCCCCATATCCTAGGAAGATGCATAGTTTTAGATGTTAAAGGTGTAGAAGAATTGCATGATGATTTAGTTAATTACATTCGTGATAAAGGTTGTGTTGCTGACCAATCCAGGAAATGGATTGGACATTACACCATAGCCCAACTCACGGATGCTGCACTTTCCATTAAGGAAAATGTTGATTTTATAAACAGCATGCAATTCAATTATAAAATCACTATCAATCCCTCATCACCGGCTAGACTTGAAATAGTTAAGCTTGGTGCTGAAAAGAAAGATGGTTTTTATGAAACCATAGCTAGCCACTGGATGGGAATTCGTTTTGAATATAATCCACCCACTGATAAGCTAGCTAAGATTATGGGTTATTGTTGTTTAGAAGTGGTGCGTAAAGAGCTAGAAGAAGGTGATCTTCCTGAGAATGATGATGATGCTTGGTTTAAGCTATCGTACCATTATGAAAACAATTCTTGGTTCTTTCGACATGTCTACAGGAAAAGTTCTTATTTCCGTAAGTCTTGTCAAAATTTAGATTGTAATTGTTTGGGGTTTTATGAATCTTCATTTGAAGAAGAC >Obihiro12_2_NS2_BAS18864_1_2012_Japan_Horse_Betacoronavirus_1 ATGTCTGTCGCTTACGCAGATAGGCCTACTCATTTTATTAATTTTCCATTAATCTCCTTTGAGGGATTCATGTTAAATTTTAAAGATTTGCAGTTTAGACTTCTTCATGAGGGAGTCGACTGCAAATTGCAAATGGTGCCCCACGTTAGTCTTGCAATGCTTGACATTGTTCAAGACCAAATCAAATGTGTGGATACCAGTTTGCAACAAGTTATAGATGGTATATGCTGGGACGATGGTTTCCACATTAATTTTGGAAATCCAAAAATCCTTGGCAGATGTGTTGTTTTGGAAGTTAAAGGTTTAGAAGAATTGCATGGTGAAATAGAAAGAAGTATCAGTGAGAAAGGTTGTGTAATTGGTCAGTCCCGTCCTTGGATTGCTCATTGTACTATAGCACAACTCACTGATGCGGCTTTAGTCATTAATGAGAATTTAGATTTTATAAATTCTCTACAATTCAATTATACCATAACTATCAACCCTGCTTCACCTTCTAGGCTTGAATTAGTCAAGATTGGTGCAGAAAAGAAAGATGGTTTTTATAAGAGTGTTGTTAGCCATTGGATGGGTATTCGGTTT------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ >DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10631_1_2016_03_05_Morocco_Camel_Betacoronavirus_1 ATGGCAGTCGCTTATGCAGACAAGCCTAATCACTTTATCAATTTTCCACTTACCCAGTTTCAGGGTTTCGTGTTAAATTATAAAGGTTTACAATTTCAACTTCTCGATGAAGGAGTGGATTGTAAAATACAAACAGCGCCTCACATTAGTCTTGCTATGCTGGATATTCAGCCTGAAGACTACAGAAGTGTTGATGTTGCTATTCAAGAAGTTATTGATGACATGCATTGGGGTGAGGGCTTTCAGATTAAATTTGAAAACCCCCATATCCTAGGAAGATGCATAGTTTTAGATGTTAAAGGTGTAGAAGAATTGCATGATGATTTAGTTAATTACATTCGTGATAAAGGTTGTGTTGCTGACCAATCCAGGAAATGGATCGGACATTGCACCATAGCCCAACTCACGGATGCTGCACTTTCCATTAAGGAAAATGTTGATTTTATAAACAGCATGCAATTCAATTATAAAATCACTATCAATCCCTCATCACCGGCTAGACTTGAAATAGTTAAGCTTGGTGCTGAAAAGAAAGATGGTTTTTATGAAACCATAGCTAGCCACTGGATGGGAATTCGTTTTGAATATAATCCACCCACTGATAAGCTAGCTATGATTATGGGTTATTGTTGTTTAGAAGTGGTGCGTAAAGAGCTAGAAGAAGGTGATCTTCCCGAGAATGATGATGATGCTTGGTTTAAGCTATCGTACCATTATGAAAACAATTCTTGGTTCTTTCGACATGTCTACAGGAAAAGTTCTTGTTTCCGTAAGTCTTGTCAAAATTTAGATTGTAATTGTTTGGGGTTTTATGAATCTTCATTTGAAGAAGAC >5445_2007_NS2a_AIV41919_1_2007_06_China_Human_Betacoronavirus_1 ATGGCTGTCGCTTATGCAGACAAGCCTAATCATTTTATCAATTTTCCACTTACCCATTTTCAGGGTTTTGTGTTAAATTATAAAGGTTTACAATTTCAAATTCTCGATGAAGGAGTGGATTGTAAAATACAAACAGCGCCACACATTAGTCTTACTATGCTGGACATACAGCCTGAAGACTATAAAAGTGTTGATGTCGCTATTCAAGAAGTTATTGATGATATGCATTGGGGTGATGGTTTTCAGATTAAATTTGAGAATCCTCACATCCTAGGAAGATGCATAGTTTTAGATGTTAAAGGTGTAGAAGAATTGCATGACGATTTAGTTAATTACATTCGTGATAAAGGTTGTGTTGCTGACCAATCCAGGAAATGGATTGGCCATTGTACCATAGCTCAACTCACGGATGCAGCACTGTCCATTAAGGAAAATGTTGATTTTATAAACAGCATGCAATTCAATTATAAAATCACCATCAACCCCTCATCACCAGCTAGACTTGAAATAGTTAAGCTCGGTGCTGAAAAGAAAGATGGTTTTTATGAAACCATAGTTAGTCACTGGATGGGAATTCGTTTTGAATACACATCACCCACTGATAAGCTAGCTATGATTATGGGTTATTGTTGTTTAGATGTGGTACGTAAAGAGCTAGAAGAAGGCGATCTTCCCGAGAATGATGATGATGCTTGGTTTAAGCTATCGTACCATTATGAAAACAATTCTTGGTTCTTCCGACATGTCTACAGGAAAAGTTTTCATTTCCGTAAGGCTTGTCAAAATTTAGATTGTAATTGTTTGGGGTTTTATGAATCTTCAGTTGAAGAATAT >4_17_08_NA_AVZ61117_1_2017_04_USA_Cattle_Betacoronavirus_1 ATGGCAGTCGCTTATGCAGACAAGCCTAATCACTTTATCAATTTTCCACTTACCCAGTTTCAGGGTTTTGTGTTAAATTATAAAGGTTTACAATTCCAACTTCTCGATGAAGGAGTGGATTGTAAAATACAAACAGCGCCTCACATTAGTCTTGTTATGCTGGATATTCAGCCTGAAGACTACAGAAGTGTTGATGTCGCTATTCAAGAAGTTATTGATGATATGCATTGGGGTGAGGGCTTTCAGATTAAATTTGAAAACCCCCATATCCTAGGAAGATGCATAGTTTTAGATGTTAAAGGTGTAGAAGAATTGCATGATGATTTAGTTAATTACATTCGTGATAAAGGTTGTGTTGCTGACCAATCCAGGAAGTGGATTGGACATTGCACCATAGCCCAACTCACTGATGCTGCACTTTCCATTAAGGAAAATGTTGATTTTATAAACAGCATGCAATTCAACTATAAAATCACTATCAATCCCTCATCACCGGCTAGAATTGAAATAGTTAAGCTTGGTGCTGAAAAGAAAGATGGTTTTTATGAAACCATAGCTAGCCACTGGATGGGAATTCGTTTTGAATATAATCCACCCACTGATAAGCTAGCTACGATTATGGGTTATTGTTGTTTAGAAATGGTGCGTAAAGAGCTAGAAGAAGGTGACCTTCCCGAGAATGATGATGATGCTTGGTTTAAGCTATCGTACCATTATGAAAACAATTCTTGGTTCTTTCGACATGTCTACAGGAAAAGTTCTTATTTCCGTAAGTCTTGTCAAAATTTAGATTGTAATTGTTTGGGGTTTTATGAATCTTCAGTTGAAGAAGAC >UNKNOWN_FJ425189_NA_ACJ66998_1_1994_01_01_USA_Deer_Betacoronavirus_1 ATGGCAGTCGCTTATGCAGACAAGCCTAATCACTTTATCAATTTTCCACTTACCCAGTTTCAGGGTTTTGTGTTAAATTATAAAGGTTTACAATTTCAACTTCTCGATGTAGGAGTGGATTGTAAAATACAAACAGCGCCTCACATTAGTCTTGCTATGCTGGATATTCAGCCTGAAGACTACAGAAGTGTTGATGTTGCTATTCAAGAAGTTATTGATGATATGCATTGGGGTGAGGGCTTTCAGATTAAATTTGAAAACCCCCATATCCTAGGAAGATGCATAGTTTTAGATGTTAAAGGTGTAGAAGAATTGCATGATGATTTAGTTAATTACATTCGTGATAAAGGTTGTGTTGCTGACCAATCCAGGAAGTGGATTGGACATTGCACCATAGCCCAACTCACTGATGCTGCACTTTCCATTAAGGAAAATGTTGATTTTATAAACAGCATGCAATTCAACTATAAAATCACTATCAATCCCTCATCACCGGCTAGACTTGAAATAGTTAAGCTTGGTGCTGAAAAGAAAGATGGTTTTTATGAAACCATAGCTAGCCACTGGATGGGAATTCGTTTTGAATATAATCCACCCACTGATAAGCTAGCTATGATTATGGGTTATTGTTGTTTAGAAGTGGTGCGTAAAGAGCTAGAAGAAGGTGACCTTCCCGAGAATGATGATGATGCTTGGTTTAAGCTATCGTACCATTATGAAAACAATTCTTGGTTCTTTCGATATGTCTACAGGAAAAGTTCTTATTTCCGTAAGTCTTGTCAAAATTTAGATTGTAATTGTTTGGGGTTTTATGAATCTTCAGTTGAAGAAGAC >IWT_24_NA_BBM61155_1_2017_01_Japan_Unknown_Betacoronavirus_1 ATGGCAGTCGCTTATGCAGACAAGCCTAATCACTTTATCAATTTTCCACTTACCCAGTTTGAGGGTTTTGTGTTAAATTATAAAGGTTTACAATTTCAACTTCTCGAGGAAGGAGTGGATTGTAAAATACAAACAGCACCTCACATTAGTCTTGCTATGCTGGATATTCAGCCTGAAGACTATAGAAGTGTTGATGTTGCTATTCAAGAAGTTATTGATGATATGCATTGGGGTGAGGGCTTTCAGATTAAATTTGAAAACCCCTATATCCTAGGAAGATGCATAGTTTTAGATGTTAAAGGTGTAGAAGAATTGCATGATGATTTAGTCAATTACATTCGTGATAAAGGTTGTGTTGCTGACCAATCCAGGAAGTGGATTGGACATTGCACCATAGCCCAACTCACTGATGCTGCACTATCCATCAAGGAAAATGTTGATTTTATAAACAGCATGCAATTCAATTATAAAATCACTATCAATCCCTCATCACCGGCTAGACTTGAAATAGTTAAGCTTGGTGCTGAAAAGAAAGATGGTTTTTATGAAGCCATAGCTAGCCACTGGATGGGAATTCGTTTTGAATATAACCCACCCACTGATAAGCTAGCTATGATTATGGGTTATTGTTGTTTAGAATTGGTGCGTAAAGAGCTAGAAGAAGGTGACCTTCCCGAGAATGATGATGATGCTTGGTTTAAGCTCTCGTACCATTATGAAAACAATTCTTGGTTCTTTCGACATGTCTACAGGAAAAGTTCTCATTTCCGTAAGTCTTGTCAAAATTTAGATTGTAATTGTTTGGAGTTTTATGAATCTTCAGTTGAAGAAGAC >IWT_23_NA_BBM61145_1_2016_12_Japan_Unknown_Betacoronavirus_1 ATGGCAGTCGCTTATGCAGACAAGCCTAATCACTTTATCAATTTTCCACTTACCCAGTTTGAGGGTTTTGTGTTAAATTATAAAGGTTTACAATTTCAACTTCTCGAGGAAGGAGTGGATTGTAAAATACAAACAGCACCTCACATTAGTCTTGCTATGCTGGATATTCAGCCTGAAGACTATAGAAGTGTTGATGTTGCTATTCAAGAAGTTATTGATGATATGCATTGGGGTGAGGGCTTTCAGATTAAATTTGAAAACCCCTATATCCTAGGAAGATGCATAGTTTTAGATGTTAAAGGTGTAGAAGAATTGCATGATGATTTAGTCAATTACATTCGTGATAAAGGTTGTGTTGCTGACCAATCCAGGAAGTGGATTGGACATTGCACCATAGCCCAACTCACTGATGCTGCACTATCCATCAAGGAAAATGTTGATTTTATAAACAGCATGCAATTCAATTATAAAATCACTATCAATCCCTCATCACCGGCTAGACTTGAAATAGTTAAGCTTGGTGCTGAAAAGAAAGATGGTTTTTATGAAGCCATAGCTAGCCACTGGATGGGAATTCGTTTTGAATATAACCCACCCACTGATAAGCTAGCTATGATTATGGGTTATTGTTGTTTAGAATTGGTGCGTAAAGAGCTAGAAGAAGGTGACCTTCCCGAGAATGATGATGATGCTTGGTTTAAGCTCTCGTACCATTATGAAAACAATTCTTGGTTCTTTCGACATGTCTACAGGAAAAGTTCTCATTTCCGTAAGTCTTGTCAAAATTTAGATTGTAATTGTTTGGAGTTTTATGAATCTTCAGTTGAAGAAGAC >DcCoV_HKU23_camel_Nigeria_NV1092_2015_NA_QEY10647_1_2015_11_23_Nigeria_Camel_Betacoronavirus_1 ATGGCAGTCGCTTATGCAGACAAGCCTAATCACTTTATCAATTTTCCACTTACCCAGTTTCAGGGTTTTGTGTTAAATTATAAAGGTTTACAATTTCAACTTCTCGATGAAGGAGTGGATTGTAAAATACAAACAGCGCCTCACATTAGTCTTGCTATGCTGGATATTCAGCCTGAAGACTACAGGAGTGTTGATGTTGCTATTCAAGAAGTTATTGATGACATGCATTGGGGTGAGGGCTTTCAGATTAAATTTGAAAACCCCCATATCCTAGGAAGATGCATAGTTTTAGATGTTAGAGGTGTAGAAGAATTGCATGATGATTTAGTTAATTACATCCGTGATAAAGGTTGTGTTGCTGACCAATCCAGGAAGTGGATTGGACATTGCACCATAGCCCAACTCACGGATGCTGCACTTTCCATTAAGGAAAATGTTGATTTTATAAATAGCATGCAATTCAATTATAAAATCACTATCAATCCCTTATCACCGGCTAGACTTGAAATAGTTAAGCTTGGTGCTGAAAAGAAAGATGGTTTTTATGAAACCATAGCTAGCCACTGGATGGGAATTCGTTTTGAATATAATCCACCCACTGAAAAGCTAGCTATGATTATGGGTTATTGTTGTTTAGAAATGGTGCGTAAAGAGCTAGAAGAAGGTGATCTTCCCGAGAATGATGATGATGCTTGGTTTAAGCTATCGTACCATTATGAAAACAATTCTTGGTTCTTTCGACATGTCTACAGGAAAAGTTCTTATTTCCGTAAGTCTTGTCAAAATTTAGATTGTAATTGTTTGGGGTTTTATGAATCTTCATTTGAAGAAGAC >7_16_23_NA_AVZ61127_1_2016_07_USA_Cattle_Betacoronavirus_1 ATGGCAGTCGCTTATGCAGACAAGCCTAATCACTTTATCAATTTTCCACTTACCCAGTTTCAGGGTTTTGTGTTAAATTATAAAGGTTTACAATTCCAACTTCTCGATGAAGGAGTGGATTGTAAAATACAAACAGCGCCTCACATTAGTCTTGCTATGCTGGATATTCAGCCTGAAGACTACAGAAGTGTTGATGTCGCTATTCAAGAAGTTATTGATGATATGCATTGGGGTGAGGGCTTTCAGATTAAATTTGAAAACCCCCATATCCTAGGAAGATGCATAGTTTTAGATGTTAAAGGTGTAGAAGAATTGCATGATGATTTAGTTAATTACATTCGTGATAAAGGTTGTGTTGCTGACCAATCCAGGAAGTGGATTGGACATTGCACCATAGCCCAACTCACTGATGCTGCACTTTCCATTAAGGAAAATGTTGATTTTATAAACAGCATGCAATTCAACTATAAAATCACTATCAATCCCTCATCACCGGCTAGAATTGAAATAGTTAAGCTTGGTGCTGAAAAGAAAGATGGTTTTTATGAAACCATAGCTAGCCACTGGATGGGAATTCGTTTTGAATATAATCCACCCACTGATAAGCTAGCTACGATTATGGGTTATTGTTGTTTAGAAATGGTGCGTAAAGAGCTAGAAGAAGGTGACCTTCCCGAGAATGATGATGATGCTTGGTTTAAGCTATCGTACCATTATGAAAACAATTCTTGGTTCTTTCGACATGTCTACAGGAAAAGTTCTTATTTCCGTAAGTCTTGTCAAAATTTAGATTGTAATTGTTTGGGGTTTTATGAATCTTCAGTTGAAGAAGAC >5479_2007_NS2a_AIV41925_1_2007_06_China_Human_Betacoronavirus_1 ATGGCTGTCGCTTATGCAGACAAGCCTAATCATTTTATCAATTTTCCACTTACCCATTTTCAGGGTTTTGTGTTAAATTATAAAGGTTTACAATTTCAAATTCTCGATGAAGGAGTGGATTGTAAAATACAAACAGCGCCACACATTAGTCTTACTATGCTGGACATACAGCCTGAAGACTATAAAAGTGTTGATGTCGCTATTCAAGAAGTTATTGATGATATGCATTGGGGTGATGGTTTTCAGATTAAATTTGAGAATCCTCACATCCTAGGAAGATGCATAGTTTTAGATGTTAAAGGTGTAGAAGAATTGCATGACGATTTAGTTAATTACATTCGTGATAAAGGTTGTGTTGCTGACCAATCCAGGAAATGGATTGGCCATTGTACCATAGCTCAACTCACGGATGCAGCACTGTCCATTAAGGAAAATGTTGATTTTATAAACAGCATGCAATTCAATTATAAAATCACCATCAACCCCTCATCACCAGCTAGACTTGAAATAGTTAAGCTCGGTGCTGAAAAGAAAGATGGTTTTTATGAAACCATAGTTAGTCACTGGATGGGAATTCGTTTTGAATACACATCACCCACTGATAAGCTAGCTATGATTATGGGTTATTGTTGTTTAGATGTGGTACGTAAAGAGCTAGAAGAAGGCGATCTTCCCGAGAATGATGATGATGCTTGGTTTAAGCTATCGTACCATTATGAAAACAATTCTTGGTTCTTCCGACATGTCTACAGGAAAAGTTTTCATTTCCGTAAGGCTTGTCAAAATTTAGATTGTAATTGTTTGGGGTTTTATGAATCTTCAGTTGAAGAATAT >ATCC_VR_759_ns2_YP_009555239_1_NA_USA_Unknown_Betacoronavirus_1 ATGGCTGTCGCTTATGCAGACAAGCCTAATCATTTTATCAATTTTCCACTTACCCATTTTCAGGGTTTTGTGTTAAATTATAAAGGTTTACAATTTCAAATTCTCGATGAAGGAGTGGATTGTAAAATACAAACAGCGCCACACATTAGTCTTACTATGCTGGACATACAGCCTGAAGACTATAAAAGTGTTGATGTCGCTATTCAAGAAGTTATTGATGATATGCATTGGGGTGATGGTTTTCAGATTAAATTTGAGAATCCTCACATCCTAGGAAGATGCATAGTTTTAGATGTTAAAGGTGTAGAAGAATTGCATGACGATTTAGTTAATTACATTCGTGATAAAGGTTGTGTTGCTGACCAATCCAGGAAATGGATTGGCCATTGCACCATAGCTCAACTCACGGATGCAGCACTGTCCATTAAGGAAAATGTTGATTTTATAAACAGCATGCAATTCAATTATAAAATCACCATCAACCCCTCATCACCGGCTAGACTTGAAATAGTTAAGCTCGGTGCTGAAAAGAAAGATGGTTTTTATGAAACCATAGTTAGTCACTGGATGGGAATTCGTTTTGAATACACATCACCCACTGATAAGCTAGCTATGATTATGGGTTATTGTTGTTTAGATGTGGTACGTAAAGAGCTAGAAGAAGGCGATCTTCCCGAGAATGATGATGATGCTTGGTTTAAGCTATCGTACCATTATGAAAACAATTCTTGGTTCTTCCGACATGTCTACAGGAAAAGTTTTCATTTCCGTAAGGCTTGTCAAAATTTAGATTGTAATTGTTTGGGGTTTTATGAATCTTCAGTTGAAGAATAT >GZYF_26_NS2a_AXX83331_1_2015_05_21_China_Unknown_Betacoronavirus_1 ATGGCTGTCGCTTATGCAGACAAGCCTAATCATTTTATCAATTTTCCACTTACCCATTTTCAGGGTTTTGTGTTAAATTATAAAGGTTTACAATTTCAAATTCTCGATGAAGGAGTGGATTGTAAAATACAAACAGCGCCACACATTAGTCTTACTATGCTGGATATACAGCCTGAAGACTATAAAAGTGTTGATGTCGCTATTCAAGAAGTTATTGATGATATGCATTGGGGTGATGGTTTTCAGATTAAATTTGAGAATCCTCACATCCTAGGAACATGCATAGTTTTAGATGTTAAAGGTGTAGAAGAATTGCATGACGATTTAGTTAATTACATTCGTGATAAAGGTTGTGTTGCTGACCAATCCAGGAAATGGATTGGCCATTGTACCATAGCTCAACTCACGGATGCAGCACTGTCCATTAAGGAAAATGTTGATTTTATAAACAGCATGCAATTCAATTATAAAATCACCATCAATCCCTCATCACCAGCTAGACTTGAAATAGTTAAGCTCGGTGCTGAAAAGAAAGATGGTTTTTATGAAACCATAGTTAGTCACTGGATGGGAATTCGTTTTGAATACACATCGCCCACTGATAAGCTAGCTATGATTATGGGTTATTGTTGTTTAGATGTGGTACGTAAAGAGCTAGAAGAAGGCGATCTTCCCGAGAATGATGATGATGCTTGGTTTAAGCTATCGTACCATTATGAAAACAATTCTTGGTTCTTCCGACATGTCTACAGGAAAAGTTTTCATTTCCGTAAGGCTTGTCAAAATTTAGATTGTAATTGTTTGGGGTTTTATGAATCTTCAGTTGAAGAATAT >BCoV_LUN_NS_AAL57306_1_NA_NA_Unknown_Betacoronavirus_1 ATGGCAGTCGCTTATGCAGACAAGCCTAATCACTTTATCAATTTTCCACTTACCCAGTTTCAGGGCTTTGTGTTAAATTATAAAGGTTTACAATTTCAACTTCTCGATGAAGGAGTGGATTGTAAAATACAAACAGCGCCTCACATTAGTCTTGCTATGCTGGATATTCAGCCTGAAGACTACAGAAGTGTTGATGTTGCTATTCAAGAAGTTATTGATGATATGCATTGGGGTGAGGGCTTTCAGATTAAATTTGAAAACCCCCATATCCTAGGAAGATGCATAGTTTTAGATGTTAAAGGTGTAGAAGAATTGCATGATGATTTAGTTAATTACATTCGTGATAAGGGTTGTGTTGATGACCAATCCAGGAAGTGGATTGGACATTGCACCATAGCCCAACTCACTGATGCTGCACTTTCCATTAAGGGAAATGTTGATTTTATAAACAGCATGCAATTCAACTATAAAATCACTATCAATCCCTCATCACCGGCTAGACTTGAAATAGTTAAGCTTGGTGCTGAAAAGAAAGATGGTTTTTATGAAACCATAGCTAGCCACTGGATGGGAATTCGTTTTGAATATAATCCACCCACTGATAAGCTAGCTATGATTATGGGTTATTGTTGTTTAGAAGTGGTGCGTAAAGAGCTAGAAGAAGGTGACCTTCCCGAGAATGATGATGATGCTTGGTTTAAGCTATCGTACCATTATGAAAACAATTCTTGGTTCTTTCGACATGTCTACAGGAAAAGTTCTTATTTCCGTAAGTCTTGTCAAAATTTAGATTGTAATTGTTTGGGGTTTTATGAATCTTCAGTTGAAGAAGAC
>HCoV_OC43_USA_ACRI_0213_2016_NS2a_AZP73838_1_2016_12_19_USA_Human_Betacoronavirus_1 MAVAYADKPNHFINFPLTHFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPEDYKSVDVAIQEVIDDMHWGDGFQIKFENPHILGTCIVLDVKGVEELHDDLVNYIRDKGCVADQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDGFYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY >4_17_25_NA_AVZ61107_1_2017_04_USA_Cattle_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQLLDEGVDCKIQTAPHISLAMLDIQPEDYRSVDVAIQEVIDDMHWGEGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVADQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARIEIVKLGAEKKDGFYETIASHWMGIRFEYNPPTDKLATIMGYCCLEMVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSSYFRKSCQNLDCNCLGFYESSVEED >HZ_459_NS2a_AXX83379_1_2016_06_20_China_Unknown_Betacoronavirus_1 MAVAYADKPNHFINFPLTHFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPEDYKSVDVAIQEVIDDMHWGDGFQIKFENPHILGTCIVLDVKGVEELHDDLVNYIRDKGCVADQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDGFYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY >3074A_2012_NS2a_AIV41836_1_2012_02_China_Human_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPEDYKSVDVAIQEVIDDMHWGDGFQIKFENPHILGGCIVLDVKGLEELHYDLVNYIRDKGCVVDQSRKWISHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDGFYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY >ICSA16_LBA_NS2_AVI15020_1_2014_France_Cattle_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQLLDEGVDCKIQTAPHISLAMLDIQPEDYRSVDVAIQEVIDDMHWGEGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVADQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDGFYETIASHWMGIRFEYNPPTDKLAKIMGYCCLEVVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSSYFRKSCQNLDCNCLGFYESSFEED >8164_2009_NS2a_AIV41991_1_2009_03_China_Human_Betacoronavirus_1 MAVAYADKPNHFINFPLTHFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPEDYKSVDVAIQEVIDDMHWGDGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVADQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDGFYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY >BCoV_2014_13_NS2_ARD05997_1_2014_03_04_France_Cattle_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQLLDEGVDCKIQTAPHISLAMLDIQPEDYRSVDVAIQEVIDDMHWGEGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVADQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDGFYETIASHWMGIRFEYNPPTDKLAKIMGYCCLEVVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSSYFRKSCQNLDCNCLGFYESSFEED >MY_U868_12_NS2a_AQN78726_1_2012_07_16_Malaysia_Human_Betacoronavirus_1 MAVAYADKPNHFINFPLTHFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPEDYKSVDVAIQEVIDDMHWGDGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVADQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDGFYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY >10290_2010_NS2a_AIV42003_1_2010_07_China_Human_Betacoronavirus_1 MAVAYADKPNHFINFPLTHFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPEDYKSVDVAIQEVIDDMHWGDGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVADQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDGFYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY >IWT_12_NA_BBM61035_1_2015_05_Japan_Unknown_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQLLDEGVDCKIQTAPHISLAMLDIQPEDYRSVDVAIQEVIDDMHWGEGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVADQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDGFYETIASHWMGIRFEYNPPTYKLAMIMGYCCLEVVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSSYFRKSCQNLDCNCLGFYESSVEED >TCG_30_NA_BBM61545_1_2017_12_Japan_Unknown_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQLLDEGVDCKIQTAPHISLAMLDIQPEDYRSVDVAIQEVIDDMHWGEGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVADQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDGFYETIASHWMGIRFEYNPPTDKLAMIMGYCCLEVVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSSYFRKSCQNLDCNCLGFYESSVEED >N09_382B_NA_ARE30022_1_2016_USA_Human_Betacoronavirus_1 MAVAYADKPNHFINFPLTHFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPEDYKSVDVAIQEVIDDMHWGDGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVADQSRKWIGHCTIAQLTDAALSIKENVDFINSKQFNYKITINPSSPARLEIVKLGAEKKDGFYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY >5519_2007_NS2a_AIV41955_1_2007_06_China_Human_Betacoronavirus_1 MAVAYADKPNHFINFPLTHFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPEDYKSVDVAIQEVIDDMHWGDGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVADQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAENKDGFYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY >BJ_165_NS2a_AXX83313_1_2015_06_09_China_Unknown_Betacoronavirus_1 MAVAYADKPNHFINFPLTHFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPEDYKSVDVAIQEVIDDMHWGDGFQIKFENPHILGTCIVLDVKGVEELHDDLVNYIRDKGCVADQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDGFYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY >CC_23_NS2a_AXX83325_1_2015_07_13_China_Unknown_Betacoronavirus_1 MAVAYADKPNHFINFPLTHFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPEDYKSVDVAIQEVIDDMHWGDGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVADQSRKWIGHCTIAQLTDAALSFKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDGFYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY >OC43_human_USA_873_6_1987_NS2a_AGT51678_1_1987_03_05_USA_Human_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPEDYKSVDVAIQEVIDDMHWGDGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVADQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDGFYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY >ICSA_pool_LBA_NS2_AVI15042_1_2014_France_Cattle_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQLLDEGVDCKIQTAPHISLAMLDIQPEDYRSVDVAIQEVIDDMHWGEGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVADQSRKWIGHYTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDGFYETIASHWMGIRFEYNPPTDKLAKIMGYCCLEVVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSSYFRKSCQNLDCNCLGFYESSFEED >Obihiro12_2_NS2_BAS18864_1_2012_Japan_Horse_Betacoronavirus_1 MSVAYADRPTHFINFPLISFEGFMLNFKDLQFRLLHEGVDCKLQMVPHVSLAMLDIVQDQIKCVDTSLQQVIDGICWDDGFHINFGNPKILGRCVVLEVKGLEELHGEIERSISEKGCVIGQSRPWIAHCTIAQLTDAALVINENLDFINSLQFNYTITINPASPSRLELVKIGAEKKDGFYKSVVSHWMGIRF------------------------------------------------------------------------------------ >DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10631_1_2016_03_05_Morocco_Camel_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQLLDEGVDCKIQTAPHISLAMLDIQPEDYRSVDVAIQEVIDDMHWGEGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVADQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDGFYETIASHWMGIRFEYNPPTDKLAMIMGYCCLEVVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSSCFRKSCQNLDCNCLGFYESSFEED >5445_2007_NS2a_AIV41919_1_2007_06_China_Human_Betacoronavirus_1 MAVAYADKPNHFINFPLTHFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPEDYKSVDVAIQEVIDDMHWGDGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVADQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDGFYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY >4_17_08_NA_AVZ61117_1_2017_04_USA_Cattle_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQLLDEGVDCKIQTAPHISLVMLDIQPEDYRSVDVAIQEVIDDMHWGEGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVADQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARIEIVKLGAEKKDGFYETIASHWMGIRFEYNPPTDKLATIMGYCCLEMVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSSYFRKSCQNLDCNCLGFYESSVEED >UNKNOWN_FJ425189_NA_ACJ66998_1_1994_01_01_USA_Deer_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQLLDVGVDCKIQTAPHISLAMLDIQPEDYRSVDVAIQEVIDDMHWGEGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVADQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDGFYETIASHWMGIRFEYNPPTDKLAMIMGYCCLEVVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRYVYRKSSYFRKSCQNLDCNCLGFYESSVEED >IWT_24_NA_BBM61155_1_2017_01_Japan_Unknown_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFEGFVLNYKGLQFQLLEEGVDCKIQTAPHISLAMLDIQPEDYRSVDVAIQEVIDDMHWGEGFQIKFENPYILGRCIVLDVKGVEELHDDLVNYIRDKGCVADQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDGFYEAIASHWMGIRFEYNPPTDKLAMIMGYCCLELVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSSHFRKSCQNLDCNCLEFYESSVEED >IWT_23_NA_BBM61145_1_2016_12_Japan_Unknown_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFEGFVLNYKGLQFQLLEEGVDCKIQTAPHISLAMLDIQPEDYRSVDVAIQEVIDDMHWGEGFQIKFENPYILGRCIVLDVKGVEELHDDLVNYIRDKGCVADQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDGFYEAIASHWMGIRFEYNPPTDKLAMIMGYCCLELVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSSHFRKSCQNLDCNCLEFYESSVEED >DcCoV_HKU23_camel_Nigeria_NV1092_2015_NA_QEY10647_1_2015_11_23_Nigeria_Camel_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQLLDEGVDCKIQTAPHISLAMLDIQPEDYRSVDVAIQEVIDDMHWGEGFQIKFENPHILGRCIVLDVRGVEELHDDLVNYIRDKGCVADQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPLSPARLEIVKLGAEKKDGFYETIASHWMGIRFEYNPPTEKLAMIMGYCCLEMVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSSYFRKSCQNLDCNCLGFYESSFEED >7_16_23_NA_AVZ61127_1_2016_07_USA_Cattle_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQLLDEGVDCKIQTAPHISLAMLDIQPEDYRSVDVAIQEVIDDMHWGEGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVADQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARIEIVKLGAEKKDGFYETIASHWMGIRFEYNPPTDKLATIMGYCCLEMVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSSYFRKSCQNLDCNCLGFYESSVEED >5479_2007_NS2a_AIV41925_1_2007_06_China_Human_Betacoronavirus_1 MAVAYADKPNHFINFPLTHFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPEDYKSVDVAIQEVIDDMHWGDGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVADQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDGFYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY >ATCC_VR_759_ns2_YP_009555239_1_NA_USA_Unknown_Betacoronavirus_1 MAVAYADKPNHFINFPLTHFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPEDYKSVDVAIQEVIDDMHWGDGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVADQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDGFYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY >GZYF_26_NS2a_AXX83331_1_2015_05_21_China_Unknown_Betacoronavirus_1 MAVAYADKPNHFINFPLTHFQGFVLNYKGLQFQILDEGVDCKIQTAPHISLTMLDIQPEDYKSVDVAIQEVIDDMHWGDGFQIKFENPHILGTCIVLDVKGVEELHDDLVNYIRDKGCVADQSRKWIGHCTIAQLTDAALSIKENVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDGFYETIVSHWMGIRFEYTSPTDKLAMIMGYCCLDVVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSFHFRKACQNLDCNCLGFYESSVEEY >BCoV_LUN_NS_AAL57306_1_NA_NA_Unknown_Betacoronavirus_1 MAVAYADKPNHFINFPLTQFQGFVLNYKGLQFQLLDEGVDCKIQTAPHISLAMLDIQPEDYRSVDVAIQEVIDDMHWGEGFQIKFENPHILGRCIVLDVKGVEELHDDLVNYIRDKGCVDDQSRKWIGHCTIAQLTDAALSIKGNVDFINSMQFNYKITINPSSPARLEIVKLGAEKKDGFYETIASHWMGIRFEYNPPTDKLAMIMGYCCLEVVRKELEEGDLPENDDDAWFKLSYHYENNSWFFRHVYRKSSYFRKSCQNLDCNCLGFYESSVEED
Reading sequence file /data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10631_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/codeml/fasta/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10631_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1
Found 30 sequences of length 834
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 5.1%
Found 72 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 7
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 127 polymorphic sites
**p-Value(s)**
----------
NSS: 6.66e-01 (1000 permutations)
Max Chi^2: 8.99e-01 (1000 permutations)
PHI (Permutation): 9.81e-01 (1000 permutations)
PHI (Normal): 9.73e-01
#NEXUS
[ID: 6755491966]
begin taxa;
dimensions ntax=30;
taxlabels
N09_382B_NA_ARE30022_1_2016_USA_Human_Betacoronavirus_1
TCG_30_NA_BBM61545_1_2017_12_Japan_Unknown_Betacoronavirus_1
5519_2007_NS2a_AIV41955_1_2007_06_China_Human_Betacoronavirus_1
ICSA_pool_LBA_NS2_AVI15042_1_2014_France_Cattle_Betacoronavirus_1
OC43_human_USA_873_6_1987_NS2a_AGT51678_1_1987_03_05_USA_Human_Betacoronavirus_1
Obihiro12_2_NS2_BAS18864_1_2012_Japan_Horse_Betacoronavirus_1
UNKNOWN_FJ425189_NA_ACJ66998_1_1994_01_01_USA_Deer_Betacoronavirus_1
4_17_08_NA_AVZ61117_1_2017_04_USA_Cattle_Betacoronavirus_1
5479_2007_NS2a_AIV41925_1_2007_06_China_Human_Betacoronavirus_1
7_16_23_NA_AVZ61127_1_2016_07_USA_Cattle_Betacoronavirus_1
3074A_2012_NS2a_AIV41836_1_2012_02_China_Human_Betacoronavirus_1
BCoV_LUN_NS_AAL57306_1_NA_NA_Unknown_Betacoronavirus_1
MY_U868_12_NS2a_AQN78726_1_2012_07_16_Malaysia_Human_Betacoronavirus_1
HCoV_OC43_USA_ACRI_0213_2016_NS2a_AZP73838_1_2016_12_19_USA_Human_Betacoronavirus_1
HZ_459_NS2a_AXX83379_1_2016_06_20_China_Unknown_Betacoronavirus_1
4_17_25_NA_AVZ61107_1_2017_04_USA_Cattle_Betacoronavirus_1
8164_2009_NS2a_AIV41991_1_2009_03_China_Human_Betacoronavirus_1
ICSA16_LBA_NS2_AVI15020_1_2014_France_Cattle_Betacoronavirus_1
BCoV_2014_13_NS2_ARD05997_1_2014_03_04_France_Cattle_Betacoronavirus_1
IWT_12_NA_BBM61035_1_2015_05_Japan_Unknown_Betacoronavirus_1
BJ_165_NS2a_AXX83313_1_2015_06_09_China_Unknown_Betacoronavirus_1
CC_23_NS2a_AXX83325_1_2015_07_13_China_Unknown_Betacoronavirus_1
5445_2007_NS2a_AIV41919_1_2007_06_China_Human_Betacoronavirus_1
DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10631_1_2016_03_05_Morocco_Camel_Betacoronavirus_1
DcCoV_HKU23_camel_Nigeria_NV1092_2015_NA_QEY10647_1_2015_11_23_Nigeria_Camel_Betacoronavirus_1
IWT_24_NA_BBM61155_1_2017_01_Japan_Unknown_Betacoronavirus_1
IWT_23_NA_BBM61145_1_2016_12_Japan_Unknown_Betacoronavirus_1
10290_2010_NS2a_AIV42003_1_2010_07_China_Human_Betacoronavirus_1
GZYF_26_NS2a_AXX83331_1_2015_05_21_China_Unknown_Betacoronavirus_1
ATCC_VR_759_ns2_YP_009555239_1_NA_USA_Unknown_Betacoronavirus_1
;
end;
begin trees;
translate
1 N09_382B_NA_ARE30022_1_2016_USA_Human_Betacoronavirus_1,
2 TCG_30_NA_BBM61545_1_2017_12_Japan_Unknown_Betacoronavirus_1,
3 5519_2007_NS2a_AIV41955_1_2007_06_China_Human_Betacoronavirus_1,
4 ICSA_pool_LBA_NS2_AVI15042_1_2014_France_Cattle_Betacoronavirus_1,
5 OC43_human_USA_873_6_1987_NS2a_AGT51678_1_1987_03_05_USA_Human_Betacoronavirus_1,
6 Obihiro12_2_NS2_BAS18864_1_2012_Japan_Horse_Betacoronavirus_1,
7 UNKNOWN_FJ425189_NA_ACJ66998_1_1994_01_01_USA_Deer_Betacoronavirus_1,
8 4_17_08_NA_AVZ61117_1_2017_04_USA_Cattle_Betacoronavirus_1,
9 5479_2007_NS2a_AIV41925_1_2007_06_China_Human_Betacoronavirus_1,
10 7_16_23_NA_AVZ61127_1_2016_07_USA_Cattle_Betacoronavirus_1,
11 3074A_2012_NS2a_AIV41836_1_2012_02_China_Human_Betacoronavirus_1,
12 BCoV_LUN_NS_AAL57306_1_NA_NA_Unknown_Betacoronavirus_1,
13 MY_U868_12_NS2a_AQN78726_1_2012_07_16_Malaysia_Human_Betacoronavirus_1,
14 HCoV_OC43_USA_ACRI_0213_2016_NS2a_AZP73838_1_2016_12_19_USA_Human_Betacoronavirus_1,
15 HZ_459_NS2a_AXX83379_1_2016_06_20_China_Unknown_Betacoronavirus_1,
16 4_17_25_NA_AVZ61107_1_2017_04_USA_Cattle_Betacoronavirus_1,
17 8164_2009_NS2a_AIV41991_1_2009_03_China_Human_Betacoronavirus_1,
18 ICSA16_LBA_NS2_AVI15020_1_2014_France_Cattle_Betacoronavirus_1,
19 BCoV_2014_13_NS2_ARD05997_1_2014_03_04_France_Cattle_Betacoronavirus_1,
20 IWT_12_NA_BBM61035_1_2015_05_Japan_Unknown_Betacoronavirus_1,
21 BJ_165_NS2a_AXX83313_1_2015_06_09_China_Unknown_Betacoronavirus_1,
22 CC_23_NS2a_AXX83325_1_2015_07_13_China_Unknown_Betacoronavirus_1,
23 5445_2007_NS2a_AIV41919_1_2007_06_China_Human_Betacoronavirus_1,
24 DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10631_1_2016_03_05_Morocco_Camel_Betacoronavirus_1,
25 DcCoV_HKU23_camel_Nigeria_NV1092_2015_NA_QEY10647_1_2015_11_23_Nigeria_Camel_Betacoronavirus_1,
26 IWT_24_NA_BBM61155_1_2017_01_Japan_Unknown_Betacoronavirus_1,
27 IWT_23_NA_BBM61145_1_2016_12_Japan_Unknown_Betacoronavirus_1,
28 10290_2010_NS2a_AIV42003_1_2010_07_China_Human_Betacoronavirus_1,
29 GZYF_26_NS2a_AXX83331_1_2015_05_21_China_Unknown_Betacoronavirus_1,
30 ATCC_VR_759_ns2_YP_009555239_1_NA_USA_Unknown_Betacoronavirus_1
;
[Note: This tree contains information on the topology,
branch lengths (if present), and the probability
of the partition indicated by the branch.]
tree con_50_majrule = (1:1.957236e-03,3:1.895337e-03,9:8.093213e-04,17:7.512003e-04,22:1.955933e-03,23:7.894050e-04,28:8.204256e-04,(13:8.864514e-04,(14:7.668695e-04,15:1.915355e-03,21:7.915450e-04,29:1.961041e-03)0.996:3.190298e-03)0.888:1.927936e-03,(((((((2:2.012016e-03,(26:8.195414e-04,27:7.917943e-04)0.999:1.578179e-02)0.860:1.988029e-03,20:2.025299e-03)0.906:1.900194e-03,7:3.101202e-03,(8:1.940127e-03,10:7.584303e-04,16:7.871113e-04)0.999:6.509769e-03,12:5.391718e-03)0.873:5.239693e-03,((((4:1.961941e-03,18:8.005344e-04)0.977:1.883402e-03,19:8.068459e-04)0.992:5.484387e-03,24:4.174848e-03)0.516:1.425440e-03,25:9.154704e-03)0.717:3.201325e-03)0.851:3.039405e-02,6:3.669697e-01)0.792:2.653227e-02,(5:8.363745e-04,11:8.936195e-03)0.690:1.901107e-03)0.802:3.371306e-03,30:8.058386e-04)0.833:3.124537e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:1.957236e-03,3:1.895337e-03,9:8.093213e-04,17:7.512003e-04,22:1.955933e-03,23:7.894050e-04,28:8.204256e-04,(13:8.864514e-04,(14:7.668695e-04,15:1.915355e-03,21:7.915450e-04,29:1.961041e-03):3.190298e-03):1.927936e-03,(((((((2:2.012016e-03,(26:8.195414e-04,27:7.917943e-04):1.578179e-02):1.988029e-03,20:2.025299e-03):1.900194e-03,7:3.101202e-03,(8:1.940127e-03,10:7.584303e-04,16:7.871113e-04):6.509769e-03,12:5.391718e-03):5.239693e-03,((((4:1.961941e-03,18:8.005344e-04):1.883402e-03,19:8.068459e-04):5.484387e-03,24:4.174848e-03):1.425440e-03,25:9.154704e-03):3.201325e-03):3.039405e-02,6:3.669697e-01):2.653227e-02,(5:8.363745e-04,11:8.936195e-03):1.901107e-03):3.371306e-03,30:8.058386e-04):3.124537e-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 -2319.19 -2358.32
2 -2320.91 -2360.13
--------------------------------------
TOTAL -2319.72 -2359.59
--------------------------------------
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} 0.567862 0.003891 0.450441 0.689985 0.564593 849.14 919.02 1.000
r(A<->C){all} 0.101913 0.000712 0.053505 0.156738 0.100322 850.87 853.38 1.000
r(A<->G){all} 0.184293 0.000852 0.131653 0.242626 0.183000 829.83 877.56 1.000
r(A<->T){all} 0.089493 0.000321 0.055139 0.124121 0.088678 824.11 896.59 1.000
r(C<->G){all} 0.063870 0.000778 0.011581 0.116372 0.060502 562.59 680.75 1.000
r(C<->T){all} 0.458655 0.001774 0.375652 0.539560 0.457657 751.62 752.91 1.000
r(G<->T){all} 0.101775 0.000482 0.059560 0.142753 0.100686 794.92 795.22 1.000
pi(A){all} 0.303582 0.000217 0.274904 0.331619 0.303681 890.14 1042.24 1.000
pi(C){all} 0.158220 0.000122 0.137643 0.179765 0.157769 1005.07 1073.52 1.001
pi(G){all} 0.207568 0.000165 0.183798 0.233939 0.207689 1022.93 1067.08 1.000
pi(T){all} 0.330630 0.000218 0.302531 0.359823 0.330450 723.44 859.80 1.000
alpha{1,2} 0.489513 0.052225 0.200365 0.895750 0.436430 1059.33 1139.29 1.000
alpha{3} 3.040201 1.891544 1.009189 5.799724 2.742345 1172.07 1327.75 1.000
pinvar{all} 0.094890 0.005085 0.000071 0.234344 0.081174 1281.51 1345.65 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_NA_QEY10631_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 = 194
Codon usage in sequences
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 10 9 10 10 10 10 | Ser TCT 0 0 0 0 0 0 | Tyr TAT 5 4 5 5 3 5 | Cys TGT 3 2 3 2 2 3
TTC 1 2 1 1 1 1 | TCC 2 2 2 2 2 2 | TAC 1 2 1 2 3 1 | TGC 1 2 1 2 2 1
Leu TTA 4 4 4 5 4 4 | TCA 2 2 2 2 2 2 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 1 1 1 1 1 1 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 3 3 3 3 3 3
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 3 5 3 3 6 3 | Pro CCT 3 3 3 3 3 3 | His CAT 5 4 5 4 4 5 | Arg CGT 2 2 2 2 2 2
CTC 3 2 3 3 2 3 | CCC 1 2 1 1 2 1 | CAC 3 3 3 3 3 3 | CGC 0 0 0 0 0 0
CTA 1 1 1 1 1 1 | CCA 3 1 3 2 1 3 | Gln CAA 7 7 7 7 7 7 | CGA 0 0 0 0 0 0
CTG 2 1 2 2 1 2 | CCG 0 1 0 1 1 0 | CAG 3 4 3 4 4 3 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 9 10 9 9 10 9 | Thr ACT 1 2 1 1 1 1 | Asn AAT 7 6 7 7 6 7 | Ser AGT 3 2 3 3 2 3
ATC 4 4 4 4 3 4 | ACC 4 3 4 4 3 4 | AAC 2 3 2 2 3 2 | AGC 1 2 1 2 2 1
ATA 7 6 7 7 6 7 | ACA 2 1 2 1 1 1 | Lys AAA 9 7 9 9 8 9 | Arg AGA 1 3 1 1 3 2
Met ATG 5 5 5 5 5 5 | ACG 1 0 1 1 1 1 | AAG 4 5 4 4 4 4 | AGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 9 8 9 10 9 9 | Ala GCT 7 8 7 7 8 7 | Asp GAT 13 13 13 13 12 12 | Gly GGT 8 7 8 8 7 8
GTC 2 2 2 2 1 2 | GCC 0 1 0 0 1 0 | GAC 4 3 4 3 4 5 | GGC 1 1 1 0 1 1
GTA 1 1 1 0 1 1 | GCA 3 3 4 3 3 3 | Glu GAA 9 10 9 9 10 9 | GGA 3 4 3 4 4 3
GTG 2 2 2 2 2 2 | GCG 1 1 0 0 1 1 | GAG 1 1 1 1 1 1 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 10 10 10 10 10 10 | Ser TCT 0 0 0 0 0 0 | Tyr TAT 3 5 5 4 4 5 | Cys TGT 2 3 3 2 2 3
TTC 1 1 1 1 1 1 | TCC 2 2 2 2 2 2 | TAC 3 1 1 2 2 1 | TGC 2 1 1 2 2 1
Leu TTA 4 4 4 4 4 4 | TCA 2 2 2 2 2 2 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 1 1 1 1 1 1 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 3 3 3 3 3 3
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 6 3 3 6 6 3 | Pro CCT 3 3 3 3 3 3 | His CAT 4 5 5 4 4 5 | Arg CGT 2 2 2 2 2 2
CTC 2 3 3 2 2 3 | CCC 2 1 1 2 2 1 | CAC 3 3 3 3 3 3 | CGC 0 0 0 0 0 0
CTA 1 1 1 1 1 1 | CCA 1 3 3 1 1 3 | Gln CAA 7 7 7 7 7 7 | CGA 0 0 0 0 0 0
CTG 1 2 2 1 1 2 | CCG 1 0 0 1 1 0 | CAG 4 3 3 4 4 3 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 10 9 9 9 9 9 | Thr ACT 1 1 1 2 2 1 | Asn AAT 6 7 7 6 6 7 | Ser AGT 2 3 3 2 2 3
ATC 3 4 4 4 4 4 | ACC 3 4 4 3 3 4 | AAC 3 2 2 3 3 2 | AGC 2 1 1 2 2 1
ATA 6 7 7 6 6 7 | ACA 1 1 1 1 1 1 | Lys AAA 8 9 9 7 7 9 | Arg AGA 3 2 2 3 3 2
Met ATG 5 5 5 5 5 4 | ACG 1 1 1 0 0 1 | AAG 4 4 4 5 5 5 | AGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 9 9 9 9 8 9 | Ala GCT 8 7 7 8 8 7 | Asp GAT 12 13 12 13 13 12 | Gly GGT 7 8 8 7 7 8
GTC 1 2 2 1 2 2 | GCC 1 0 0 1 1 0 | GAC 4 4 5 3 3 5 | GGC 1 1 1 1 1 1
GTA 1 1 1 1 1 1 | GCA 3 3 3 3 3 3 | Glu GAA 10 9 9 10 10 9 | GGA 4 3 3 4 4 3
GTG 2 2 2 2 2 2 | GCG 1 1 1 1 1 1 | GAG 1 1 1 1 1 1 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 10 10 11 10 10 9 | Ser TCT 0 0 0 0 0 3 | Tyr TAT 5 5 5 5 3 2 | Cys TGT 3 3 3 2 2 4
TTC 1 1 1 1 1 3 | TCC 2 2 2 2 2 2 | TAC 1 1 1 1 4 1 | TGC 1 1 1 2 1 2
Leu TTA 4 4 4 4 4 6 | TCA 2 2 2 2 2 1 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 1 1 1 1 1 5 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 3 3 3 3 3 3
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 3 3 3 3 6 6 | Pro CCT 3 3 3 3 3 4 | His CAT 5 5 5 4 4 5 | Arg CGT 2 2 2 2 2 1
CTC 3 3 3 3 2 1 | CCC 1 1 1 1 2 1 | CAC 3 3 3 3 3 2 | CGC 0 0 0 0 0 0
CTA 1 1 1 1 1 1 | CCA 3 3 3 2 1 2 | Gln CAA 7 7 7 7 7 7 | CGA 0 0 0 0 0 0
CTG 2 2 2 2 1 0 | CCG 0 0 0 1 1 0 | CAG 3 3 3 4 4 2 | CGG 0 0 0 0 0 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 9 9 8 9 10 8 | Thr ACT 1 1 1 1 1 4 | Asn AAT 8 7 7 7 6 8 | Ser AGT 3 3 3 3 2 5
ATC 4 4 4 4 3 5 | ACC 4 4 4 4 3 2 | AAC 2 2 2 2 3 1 | AGC 1 1 1 1 2 1
ATA 7 7 7 7 6 6 | ACA 1 2 1 1 1 0 | Lys AAA 9 9 9 9 8 7 | Arg AGA 2 1 2 2 3 3
Met ATG 5 5 5 5 5 5 | ACG 1 1 1 1 1 0 | AAG 3 4 4 4 4 3 | AGG 1 1 1 1 1 2
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 9 9 9 9 9 8 | Ala GCT 7 7 7 7 8 4 | Asp GAT 12 13 12 12 12 8 | Gly GGT 8 8 8 8 7 9
GTC 2 2 2 2 1 4 | GCC 0 0 0 0 1 0 | GAC 5 4 5 5 4 4 | GGC 1 1 1 1 1 1
GTA 1 1 1 1 1 1 | GCA 3 3 3 3 3 4 | Glu GAA 9 9 9 9 10 7 | GGA 3 3 3 3 4 3
GTG 2 2 2 2 2 2 | GCG 1 1 1 1 1 1 | GAG 1 1 1 1 1 4 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 9 10 9 10 10 10 | Ser TCT 0 0 0 0 0 0 | Tyr TAT 4 5 4 4 6 6 | Cys TGT 2 3 2 2 2 2
TTC 2 1 2 1 1 1 | TCC 2 2 2 2 2 2 | TAC 2 1 2 2 1 1 | TGC 2 1 2 2 2 2
Leu TTA 4 4 4 4 4 4 | TCA 2 2 2 2 2 2 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 1 1 1 1 1 1 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 3 3 3 3 3 3
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 6 3 5 6 5 5 | Pro CCT 3 3 3 3 3 3 | His CAT 4 5 4 4 3 3 | Arg CGT 2 2 2 2 2 2
CTC 2 3 2 2 2 2 | CCC 2 1 2 2 2 2 | CAC 3 3 3 3 3 3 | CGC 0 0 0 0 0 0
CTA 1 1 1 1 2 2 | CCA 1 3 1 1 1 1 | Gln CAA 7 7 7 7 7 7 | CGA 0 0 0 0 0 0
CTG 1 2 1 1 1 1 | CCG 1 0 1 1 1 1 | CAG 4 3 4 4 3 3 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 8 9 10 9 8 8 | Thr ACT 1 1 2 2 2 2 | Asn AAT 7 7 6 6 7 7 | Ser AGT 2 3 2 2 2 2
ATC 5 4 4 4 5 5 | ACC 3 4 3 3 2 2 | AAC 2 2 3 3 2 2 | AGC 2 1 2 2 2 2
ATA 6 7 6 6 6 6 | ACA 1 1 1 1 1 1 | Lys AAA 8 9 7 7 7 7 | Arg AGA 3 2 3 3 3 3
Met ATG 5 5 5 5 5 5 | ACG 1 1 0 0 0 0 | AAG 4 4 5 5 5 5 | AGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 9 9 9 9 8 8 | Ala GCT 8 7 7 8 8 8 | Asp GAT 12 12 13 13 12 12 | Gly GGT 7 8 7 7 7 7
GTC 1 2 2 1 2 2 | GCC 1 0 1 1 2 2 | GAC 4 5 3 3 3 3 | GGC 1 1 1 1 1 1
GTA 1 1 1 2 1 1 | GCA 3 3 3 3 4 4 | Glu GAA 10 9 10 9 10 10 | GGA 4 3 4 4 4 4
GTG 2 2 2 2 2 2 | GCG 1 1 1 1 0 0 | GAG 1 1 1 1 3 3 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 10 9 10 10 10 10 | Ser TCT 0 0 0 0 0 0 | Tyr TAT 4 4 5 5 5 4 | Cys TGT 2 2 3 2 3 2
TTC 1 2 1 1 1 1 | TCC 2 2 2 2 2 2 | TAC 2 2 1 1 1 2 | TGC 2 2 1 2 1 2
Leu TTA 5 4 4 4 4 4 | TCA 1 2 2 2 2 2 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 1 1 1 1 1 1 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 3 3 3 3 3 3
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 6 5 3 3 3 6 | Pro CCT 3 3 3 3 3 3 | His CAT 4 4 5 5 5 4 | Arg CGT 2 2 2 2 2 2
CTC 2 2 3 3 3 2 | CCC 2 2 1 1 1 2 | CAC 3 3 3 3 3 3 | CGC 0 0 0 0 0 0
CTA 1 1 1 1 1 1 | CCA 1 1 3 2 3 1 | Gln CAA 7 7 7 7 7 7 | CGA 0 0 0 0 0 0
CTG 1 1 2 2 2 1 | CCG 1 1 0 1 0 1 | CAG 4 4 3 3 3 4 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 8 10 9 9 9 9 | Thr ACT 1 2 1 1 1 2 | Asn AAT 8 6 7 7 8 6 | Ser AGT 2 2 3 3 3 2
ATC 5 4 4 4 4 4 | ACC 3 3 4 4 4 3 | AAC 1 3 2 2 1 3 | AGC 2 2 1 1 1 2
ATA 6 6 7 7 7 6 | ACA 1 1 1 1 2 1 | Lys AAA 6 7 9 9 9 6 | Arg AGA 3 3 2 2 1 3
Met ATG 5 5 5 5 5 5 | ACG 1 0 1 1 1 0 | AAG 5 5 4 4 4 6 | AGG 2 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 9 8 9 9 9 9 | Ala GCT 8 8 7 7 7 7 | Asp GAT 12 13 12 12 13 14 | Gly GGT 7 7 8 8 8 6
GTC 1 2 2 2 2 1 | GCC 1 1 0 0 0 1 | GAC 4 3 5 5 4 3 | GGC 1 1 1 1 1 2
GTA 1 1 1 1 1 1 | GCA 3 3 3 3 3 3 | Glu GAA 10 10 9 9 9 9 | GGA 4 4 3 3 3 5
GTG 2 2 2 2 2 2 | GCG 1 1 1 1 1 1 | GAG 1 1 1 1 1 1 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Codon position x base (3x4) table for each sequence.
#1: C103
position 1: T:0.17010 C:0.18557 A:0.31443 G:0.32990
position 2: T:0.32990 C:0.15464 A:0.37629 G:0.13918
position 3: T:0.45361 C:0.15464 A:0.26804 G:0.12371
Average T:0.31787 C:0.16495 A:0.31959 G:0.19759
#2: C29
position 1: T:0.17010 C:0.18557 A:0.30928 G:0.33505
position 2: T:0.32474 C:0.15464 A:0.37113 G:0.14948
position 3: T:0.43814 C:0.17526 A:0.25773 G:0.12887
Average T:0.31100 C:0.17182 A:0.31271 G:0.20447
#3: C113
position 1: T:0.17010 C:0.18557 A:0.31443 G:0.32990
position 2: T:0.32990 C:0.15464 A:0.37629 G:0.13918
position 3: T:0.45361 C:0.15464 A:0.27320 G:0.11856
Average T:0.31787 C:0.16495 A:0.32131 G:0.19588
#4: C17
position 1: T:0.18041 C:0.18557 A:0.31443 G:0.31959
position 2: T:0.33505 C:0.14433 A:0.37629 G:0.14433
position 3: T:0.44845 C:0.15979 A:0.26289 G:0.12887
Average T:0.32131 C:0.16323 A:0.31787 G:0.19759
#5: C115
position 1: T:0.17010 C:0.19072 A:0.30412 G:0.33505
position 2: T:0.32474 C:0.15464 A:0.37113 G:0.14948
position 3: T:0.43814 C:0.17010 A:0.26289 G:0.12887
Average T:0.31100 C:0.17182 A:0.31271 G:0.20447
#6: C49
position 1: T:0.17010 C:0.18557 A:0.31443 G:0.32990
position 2: T:0.32990 C:0.14948 A:0.37629 G:0.14433
position 3: T:0.44845 C:0.15979 A:0.26804 G:0.12371
Average T:0.31615 C:0.16495 A:0.31959 G:0.19931
#7: C57
position 1: T:0.17010 C:0.19072 A:0.30412 G:0.33505
position 2: T:0.32474 C:0.15464 A:0.37113 G:0.14948
position 3: T:0.43814 C:0.17010 A:0.26289 G:0.12887
Average T:0.31100 C:0.17182 A:0.31271 G:0.20447
#8: C172
position 1: T:0.17010 C:0.18557 A:0.31443 G:0.32990
position 2: T:0.32990 C:0.14948 A:0.37629 G:0.14433
position 3: T:0.45361 C:0.15464 A:0.26804 G:0.12371
Average T:0.31787 C:0.16323 A:0.31959 G:0.19931
#9: C3
position 1: T:0.17010 C:0.18557 A:0.31443 G:0.32990
position 2: T:0.32990 C:0.14948 A:0.37629 G:0.14433
position 3: T:0.44845 C:0.15979 A:0.26804 G:0.12371
Average T:0.31615 C:0.16495 A:0.31959 G:0.19931
#10: C122
position 1: T:0.17010 C:0.19072 A:0.30412 G:0.33505
position 2: T:0.32474 C:0.15464 A:0.37113 G:0.14948
position 3: T:0.44845 C:0.16495 A:0.25773 G:0.12887
Average T:0.31443 C:0.17010 A:0.31100 G:0.20447
#11: C258
position 1: T:0.17010 C:0.19072 A:0.30412 G:0.33505
position 2: T:0.32474 C:0.15464 A:0.37113 G:0.14948
position 3: T:0.44330 C:0.17010 A:0.25773 G:0.12887
Average T:0.31271 C:0.17182 A:0.31100 G:0.20447
#12: C180
position 1: T:0.17010 C:0.18557 A:0.31443 G:0.32990
position 2: T:0.32474 C:0.14948 A:0.38144 G:0.14433
position 3: T:0.44845 C:0.15979 A:0.26804 G:0.12371
Average T:0.31443 C:0.16495 A:0.32131 G:0.19931
#13: C44
position 1: T:0.17010 C:0.18557 A:0.31443 G:0.32990
position 2: T:0.32990 C:0.14948 A:0.37629 G:0.14433
position 3: T:0.45361 C:0.15979 A:0.26804 G:0.11856
Average T:0.31787 C:0.16495 A:0.31959 G:0.19759
#14: C64
position 1: T:0.17010 C:0.18557 A:0.31443 G:0.32990
position 2: T:0.32990 C:0.15464 A:0.37629 G:0.13918
position 3: T:0.45361 C:0.15464 A:0.26804 G:0.12371
Average T:0.31787 C:0.16495 A:0.31959 G:0.19759
#15: C69
position 1: T:0.17526 C:0.18557 A:0.30928 G:0.32990
position 2: T:0.32990 C:0.14948 A:0.37629 G:0.14433
position 3: T:0.44845 C:0.15979 A:0.26804 G:0.12371
Average T:0.31787 C:0.16495 A:0.31787 G:0.19931
#16: C192
position 1: T:0.17010 C:0.18557 A:0.31443 G:0.32990
position 2: T:0.32990 C:0.14948 A:0.37629 G:0.14433
position 3: T:0.43814 C:0.16495 A:0.26289 G:0.13402
Average T:0.31271 C:0.16667 A:0.31787 G:0.20275
#17: C118
position 1: T:0.17010 C:0.19072 A:0.30412 G:0.33505
position 2: T:0.32474 C:0.15464 A:0.37629 G:0.14433
position 3: T:0.43814 C:0.17010 A:0.26289 G:0.12887
Average T:0.31100 C:0.17182 A:0.31443 G:0.20275
#18: C223
position 1: T:0.21134 C:0.17010 A:0.30928 G:0.30928
position 2: T:0.36082 C:0.14433 A:0.31443 G:0.18041
position 3: T:0.45361 C:0.15464 A:0.24742 G:0.14433
Average T:0.34192 C:0.15636 A:0.29038 G:0.21134
#19: C71
position 1: T:0.17010 C:0.19072 A:0.30412 G:0.33505
position 2: T:0.32474 C:0.15464 A:0.37113 G:0.14948
position 3: T:0.43299 C:0.17526 A:0.26289 G:0.12887
Average T:0.30928 C:0.17354 A:0.31271 G:0.20447
#20: C36
position 1: T:0.17010 C:0.18557 A:0.31443 G:0.32990
position 2: T:0.32990 C:0.14948 A:0.37629 G:0.14433
position 3: T:0.44845 C:0.15979 A:0.26804 G:0.12371
Average T:0.31615 C:0.16495 A:0.31959 G:0.19931
#21: C28
position 1: T:0.17010 C:0.18557 A:0.30928 G:0.33505
position 2: T:0.32990 C:0.14948 A:0.37113 G:0.14948
position 3: T:0.43814 C:0.17526 A:0.25773 G:0.12887
Average T:0.31271 C:0.17010 A:0.31271 G:0.20447
#22: C282
position 1: T:0.17010 C:0.19072 A:0.30412 G:0.33505
position 2: T:0.32990 C:0.15464 A:0.36598 G:0.14948
position 3: T:0.44845 C:0.16495 A:0.25773 G:0.12887
Average T:0.31615 C:0.17010 A:0.30928 G:0.20447
#23: C135
position 1: T:0.17526 C:0.18041 A:0.29897 G:0.34536
position 2: T:0.32474 C:0.15464 A:0.37113 G:0.14948
position 3: T:0.43814 C:0.16495 A:0.26804 G:0.12887
Average T:0.31271 C:0.16667 A:0.31271 G:0.20790
#24: C134
position 1: T:0.17526 C:0.18041 A:0.29897 G:0.34536
position 2: T:0.32474 C:0.15464 A:0.37113 G:0.14948
position 3: T:0.43814 C:0.16495 A:0.26804 G:0.12887
Average T:0.31271 C:0.16667 A:0.31271 G:0.20790
#25: C76
position 1: T:0.17010 C:0.19072 A:0.30412 G:0.33505
position 2: T:0.32990 C:0.14948 A:0.36598 G:0.15464
position 3: T:0.44330 C:0.16495 A:0.25258 G:0.13918
Average T:0.31443 C:0.16838 A:0.30756 G:0.20962
#26: C47
position 1: T:0.17010 C:0.18557 A:0.30928 G:0.33505
position 2: T:0.32474 C:0.15464 A:0.37113 G:0.14948
position 3: T:0.43814 C:0.17526 A:0.25773 G:0.12887
Average T:0.31100 C:0.17182 A:0.31271 G:0.20447
#27: C38
position 1: T:0.17010 C:0.18557 A:0.31443 G:0.32990
position 2: T:0.32990 C:0.14948 A:0.37629 G:0.14433
position 3: T:0.44845 C:0.15979 A:0.26804 G:0.12371
Average T:0.31615 C:0.16495 A:0.31959 G:0.19931
#28: C53
position 1: T:0.17010 C:0.18557 A:0.31443 G:0.32990
position 2: T:0.32990 C:0.14948 A:0.37629 G:0.14433
position 3: T:0.44330 C:0.16495 A:0.26289 G:0.12887
Average T:0.31443 C:0.16667 A:0.31787 G:0.20103
#29: C83
position 1: T:0.17010 C:0.18557 A:0.31443 G:0.32990
position 2: T:0.32990 C:0.15464 A:0.37629 G:0.13918
position 3: T:0.45876 C:0.14948 A:0.26804 G:0.12371
Average T:0.31959 C:0.16323 A:0.31959 G:0.19759
#30: C59
position 1: T:0.17010 C:0.19072 A:0.30412 G:0.33505
position 2: T:0.32474 C:0.14948 A:0.37113 G:0.15464
position 3: T:0.44330 C:0.17010 A:0.25258 G:0.13402
Average T:0.31271 C:0.17010 A:0.30928 G:0.20790
Sums of codon usage counts
------------------------------------------------------------------------------
Phe F TTT 296 | Ser S TCT 3 | Tyr Y TAT 134 | Cys C TGT 74
TTC 36 | TCC 60 | TAC 47 | TGC 47
Leu L TTA 124 | TCA 58 | *** * TAA 0 | *** * TGA 0
TTG 34 | TCG 0 | TAG 0 | Trp W TGG 90
------------------------------------------------------------------------------
Leu L CTT 130 | Pro P CCT 91 | His H CAT 132 | Arg R CGT 59
CTC 74 | CCC 44 | CAC 89 | CGC 0
CTA 32 | CCA 58 | Gln Q CAA 210 | CGA 0
CTG 44 | CCG 17 | CAG 103 | CGG 1
------------------------------------------------------------------------------
Ile I ATT 270 | Thr T ACT 42 | Asn N AAT 204 | Ser S AGT 78
ATC 122 | ACC 102 | AAC 67 | AGC 45
ATA 195 | ACA 33 | Lys K AAA 242 | Arg R AGA 70
Met M ATG 149 | ACG 20 | AAG 130 | AGG 32
------------------------------------------------------------------------------
Val V GTT 265 | Ala A GCT 219 | Asp D GAT 370 | Gly G GGT 226
GTC 54 | GCC 16 | GAC 119 | GGC 30
GTA 30 | GCA 94 | Glu E GAA 280 | GGA 106
GTG 60 | GCG 26 | GAG 37 | GGG 0
------------------------------------------------------------------------------
Codon position x base (3x4) table, overall
position 1: T:0.17234 C:0.18625 A:0.30945 G:0.33196
position 2: T:0.32904 C:0.15172 A:0.37182 G:0.14742
position 3: T:0.44553 C:0.16357 A:0.26323 G:0.12766
Average T:0.31564 C:0.16718 A:0.31483 G:0.20235
Model 1: NearlyNeutral (2 categories)
TREE # 1: (12, 13, 27, 6, 15, 20, 9, (8, (1, 3, 14, 29)), (((((((11, (23, 24)), 10), 22, (21, 26, 2), 30), ((((17, 5), 7), 19), 25)), 18), (16, 4)), 28)); MP score: 185
lnL(ntime: 46 np: 49): -1669.984392 +0.000000
31..12 31..13 31..27 31..6 31..15 31..20 31..9 31..32 32..8 32..33 33..1 33..3 33..14 33..29 31..34 34..35 35..36 36..37 37..38 38..39 39..40 40..11 40..41 41..23 41..24 39..10 38..22 38..42 42..21 42..26 42..2 38..30 37..43 43..44 44..45 45..46 46..17 46..5 45..7 44..19 43..25 36..18 35..47 47..16 47..4 34..28
0.005653 0.005673 0.000004 0.000004 0.005666 0.000004 0.000004 0.005665 0.000004 0.005687 0.000004 0.005675 0.000004 0.005684 0.011337 0.005693 0.054999 0.117097 0.015805 0.000004 0.005737 0.000004 0.052947 0.000004 0.000004 0.000004 0.005733 0.017311 0.005717 0.000004 0.000004 0.023178 0.002774 0.004502 0.017443 0.000004 0.005703 0.000004 0.000004 0.011584 0.030379 2.235903 0.000004 0.000004 0.041087 0.000004 2.484003 0.889515 0.067500
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 2.704714
(12: 0.005653, 13: 0.005673, 27: 0.000004, 6: 0.000004, 15: 0.005666, 20: 0.000004, 9: 0.000004, (8: 0.000004, (1: 0.000004, 3: 0.005675, 14: 0.000004, 29: 0.005684): 0.005687): 0.005665, (((((((11: 0.000004, (23: 0.000004, 24: 0.000004): 0.052947): 0.005737, 10: 0.000004): 0.000004, 22: 0.005733, (21: 0.005717, 26: 0.000004, 2: 0.000004): 0.017311, 30: 0.023178): 0.015805, ((((17: 0.005703, 5: 0.000004): 0.000004, 7: 0.000004): 0.017443, 19: 0.011584): 0.004502, 25: 0.030379): 0.002774): 0.117097, 18: 2.235903): 0.054999, (16: 0.000004, 4: 0.041087): 0.000004): 0.005693, 28: 0.000004): 0.011337);
(C180: 0.005653, C44: 0.005673, C38: 0.000004, C49: 0.000004, C69: 0.005666, C36: 0.000004, C3: 0.000004, (C172: 0.000004, (C103: 0.000004, C113: 0.005675, C64: 0.000004, C83: 0.005684): 0.005687): 0.005665, (((((((C258: 0.000004, (C135: 0.000004, C134: 0.000004): 0.052947): 0.005737, C122: 0.000004): 0.000004, C282: 0.005733, (C28: 0.005717, C47: 0.000004, C29: 0.000004): 0.017311, C59: 0.023178): 0.015805, ((((C118: 0.005703, C115: 0.000004): 0.000004, C57: 0.000004): 0.017443, C71: 0.011584): 0.004502, C76: 0.030379): 0.002774): 0.117097, C223: 2.235903): 0.054999, (C192: 0.000004, C17: 0.041087): 0.000004): 0.005693, C53: 0.000004): 0.011337);
Detailed output identifying parameters
kappa (ts/tv) = 2.48400
MLEs of dN/dS (w) for site classes (K=2)
p: 0.88951 0.11049
w: 0.06750 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.006 455.1 126.9 0.1705 0.0009 0.0054 0.4 0.7
31..13 0.006 455.1 126.9 0.1705 0.0009 0.0054 0.4 0.7
31..27 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
31..6 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
31..15 0.006 455.1 126.9 0.1705 0.0009 0.0054 0.4 0.7
31..20 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
31..9 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
31..32 0.006 455.1 126.9 0.1705 0.0009 0.0054 0.4 0.7
32..8 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
32..33 0.006 455.1 126.9 0.1705 0.0009 0.0054 0.4 0.7
33..1 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
33..3 0.006 455.1 126.9 0.1705 0.0009 0.0054 0.4 0.7
33..14 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
33..29 0.006 455.1 126.9 0.1705 0.0009 0.0054 0.4 0.7
31..34 0.011 455.1 126.9 0.1705 0.0018 0.0108 0.8 1.4
34..35 0.006 455.1 126.9 0.1705 0.0009 0.0054 0.4 0.7
35..36 0.055 455.1 126.9 0.1705 0.0089 0.0522 4.0 6.6
36..37 0.117 455.1 126.9 0.1705 0.0189 0.1111 8.6 14.1
37..38 0.016 455.1 126.9 0.1705 0.0026 0.0150 1.2 1.9
38..39 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
39..40 0.006 455.1 126.9 0.1705 0.0009 0.0054 0.4 0.7
40..11 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
40..41 0.053 455.1 126.9 0.1705 0.0086 0.0502 3.9 6.4
41..23 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
41..24 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
39..10 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
38..22 0.006 455.1 126.9 0.1705 0.0009 0.0054 0.4 0.7
38..42 0.017 455.1 126.9 0.1705 0.0028 0.0164 1.3 2.1
42..21 0.006 455.1 126.9 0.1705 0.0009 0.0054 0.4 0.7
42..26 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
42..2 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
38..30 0.023 455.1 126.9 0.1705 0.0037 0.0220 1.7 2.8
37..43 0.003 455.1 126.9 0.1705 0.0004 0.0026 0.2 0.3
43..44 0.005 455.1 126.9 0.1705 0.0007 0.0043 0.3 0.5
44..45 0.017 455.1 126.9 0.1705 0.0028 0.0165 1.3 2.1
45..46 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
46..17 0.006 455.1 126.9 0.1705 0.0009 0.0054 0.4 0.7
46..5 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
45..7 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
44..19 0.012 455.1 126.9 0.1705 0.0019 0.0110 0.9 1.4
43..25 0.030 455.1 126.9 0.1705 0.0049 0.0288 2.2 3.7
36..18 2.236 455.1 126.9 0.1705 0.3617 2.1210 164.6 269.2
35..47 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
47..16 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
47..4 0.041 455.1 126.9 0.1705 0.0066 0.0390 3.0 4.9
34..28 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
Time used: 4:17
Model 2: PositiveSelection (3 categories)
TREE # 1: (12, 13, 27, 6, 15, 20, 9, (8, (1, 3, 14, 29)), (((((((11, (23, 24)), 10), 22, (21, 26, 2), 30), ((((17, 5), 7), 19), 25)), 18), (16, 4)), 28)); MP score: 185
lnL(ntime: 46 np: 51): -1669.984392 +0.000000
31..12 31..13 31..27 31..6 31..15 31..20 31..9 31..32 32..8 32..33 33..1 33..3 33..14 33..29 31..34 34..35 35..36 36..37 37..38 38..39 39..40 40..11 40..41 41..23 41..24 39..10 38..22 38..42 42..21 42..26 42..2 38..30 37..43 43..44 44..45 45..46 46..17 46..5 45..7 44..19 43..25 36..18 35..47 47..16 47..4 34..28
0.005653 0.005673 0.000004 0.000004 0.005666 0.000004 0.000004 0.005665 0.000004 0.005687 0.000004 0.005675 0.000004 0.005684 0.011337 0.005693 0.054999 0.117097 0.015805 0.000004 0.005737 0.000004 0.052947 0.000004 0.000004 0.000004 0.005733 0.017311 0.005717 0.000004 0.000004 0.023178 0.002774 0.004502 0.017444 0.000004 0.005703 0.000004 0.000004 0.011584 0.030379 2.235907 0.000004 0.000004 0.041087 0.000004 2.484006 0.889514 0.109675 0.067499 1.000000
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 2.704718
(12: 0.005653, 13: 0.005673, 27: 0.000004, 6: 0.000004, 15: 0.005666, 20: 0.000004, 9: 0.000004, (8: 0.000004, (1: 0.000004, 3: 0.005675, 14: 0.000004, 29: 0.005684): 0.005687): 0.005665, (((((((11: 0.000004, (23: 0.000004, 24: 0.000004): 0.052947): 0.005737, 10: 0.000004): 0.000004, 22: 0.005733, (21: 0.005717, 26: 0.000004, 2: 0.000004): 0.017311, 30: 0.023178): 0.015805, ((((17: 0.005703, 5: 0.000004): 0.000004, 7: 0.000004): 0.017444, 19: 0.011584): 0.004502, 25: 0.030379): 0.002774): 0.117097, 18: 2.235907): 0.054999, (16: 0.000004, 4: 0.041087): 0.000004): 0.005693, 28: 0.000004): 0.011337);
(C180: 0.005653, C44: 0.005673, C38: 0.000004, C49: 0.000004, C69: 0.005666, C36: 0.000004, C3: 0.000004, (C172: 0.000004, (C103: 0.000004, C113: 0.005675, C64: 0.000004, C83: 0.005684): 0.005687): 0.005665, (((((((C258: 0.000004, (C135: 0.000004, C134: 0.000004): 0.052947): 0.005737, C122: 0.000004): 0.000004, C282: 0.005733, (C28: 0.005717, C47: 0.000004, C29: 0.000004): 0.017311, C59: 0.023178): 0.015805, ((((C118: 0.005703, C115: 0.000004): 0.000004, C57: 0.000004): 0.017444, C71: 0.011584): 0.004502, C76: 0.030379): 0.002774): 0.117097, C223: 2.235907): 0.054999, (C192: 0.000004, C17: 0.041087): 0.000004): 0.005693, C53: 0.000004): 0.011337);
Detailed output identifying parameters
kappa (ts/tv) = 2.48401
MLEs of dN/dS (w) for site classes (K=3)
p: 0.88951 0.10968 0.00081
w: 0.06750 1.00000 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.006 455.1 126.9 0.1705 0.0009 0.0054 0.4 0.7
31..13 0.006 455.1 126.9 0.1705 0.0009 0.0054 0.4 0.7
31..27 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
31..6 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
31..15 0.006 455.1 126.9 0.1705 0.0009 0.0054 0.4 0.7
31..20 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
31..9 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
31..32 0.006 455.1 126.9 0.1705 0.0009 0.0054 0.4 0.7
32..8 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
32..33 0.006 455.1 126.9 0.1705 0.0009 0.0054 0.4 0.7
33..1 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
33..3 0.006 455.1 126.9 0.1705 0.0009 0.0054 0.4 0.7
33..14 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
33..29 0.006 455.1 126.9 0.1705 0.0009 0.0054 0.4 0.7
31..34 0.011 455.1 126.9 0.1705 0.0018 0.0108 0.8 1.4
34..35 0.006 455.1 126.9 0.1705 0.0009 0.0054 0.4 0.7
35..36 0.055 455.1 126.9 0.1705 0.0089 0.0522 4.0 6.6
36..37 0.117 455.1 126.9 0.1705 0.0189 0.1111 8.6 14.1
37..38 0.016 455.1 126.9 0.1705 0.0026 0.0150 1.2 1.9
38..39 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
39..40 0.006 455.1 126.9 0.1705 0.0009 0.0054 0.4 0.7
40..11 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
40..41 0.053 455.1 126.9 0.1705 0.0086 0.0502 3.9 6.4
41..23 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
41..24 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
39..10 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
38..22 0.006 455.1 126.9 0.1705 0.0009 0.0054 0.4 0.7
38..42 0.017 455.1 126.9 0.1705 0.0028 0.0164 1.3 2.1
42..21 0.006 455.1 126.9 0.1705 0.0009 0.0054 0.4 0.7
42..26 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
42..2 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
38..30 0.023 455.1 126.9 0.1705 0.0037 0.0220 1.7 2.8
37..43 0.003 455.1 126.9 0.1705 0.0004 0.0026 0.2 0.3
43..44 0.005 455.1 126.9 0.1705 0.0007 0.0043 0.3 0.5
44..45 0.017 455.1 126.9 0.1705 0.0028 0.0165 1.3 2.1
45..46 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
46..17 0.006 455.1 126.9 0.1705 0.0009 0.0054 0.4 0.7
46..5 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
45..7 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
44..19 0.012 455.1 126.9 0.1705 0.0019 0.0110 0.9 1.4
43..25 0.030 455.1 126.9 0.1705 0.0049 0.0288 2.2 3.7
36..18 2.236 455.1 126.9 0.1705 0.3617 2.1210 164.6 269.2
35..47 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
47..16 0.000 455.1 126.9 0.1705 0.0000 0.0000 0.0 0.0
47..4 0.041 455.1 126.9 0.1705 0.0066 0.0390 3.0 4.9
34..28 0.000 455.1 126.9 0.1705 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: C103)
Pr(w>1) post mean +- SE for w
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: 0.794 0.117 0.037 0.017 0.010 0.007 0.005 0.005 0.004 0.004
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 0.005
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.012 0.717
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.016 0.223 0.027
sum of density on p0-p1 = 1.000000
Time used: 10:06
Model 7: beta (10 categories)
TREE # 1: (12, 13, 27, 6, 15, 20, 9, (8, (1, 3, 14, 29)), (((((((11, (23, 24)), 10), 22, (21, 26, 2), 30), ((((17, 5), 7), 19), 25)), 18), (16, 4)), 28)); MP score: 185
check convergence..
lnL(ntime: 46 np: 49): -1667.361381 +0.000000
31..12 31..13 31..27 31..6 31..15 31..20 31..9 31..32 32..8 32..33 33..1 33..3 33..14 33..29 31..34 34..35 35..36 36..37 37..38 38..39 39..40 40..11 40..41 41..23 41..24 39..10 38..22 38..42 42..21 42..26 42..2 38..30 37..43 43..44 44..45 45..46 46..17 46..5 45..7 44..19 43..25 36..18 35..47 47..16 47..4 34..28
0.005568 0.005596 0.000004 0.000004 0.005593 0.000004 0.000004 0.005590 0.000004 0.005609 0.000004 0.005600 0.000004 0.005611 0.011186 0.005602 0.065853 0.103503 0.016247 0.000004 0.005656 0.000004 0.052261 0.000004 0.000004 0.000004 0.005651 0.017048 0.005618 0.000004 0.000004 0.022809 0.002272 0.004252 0.017279 0.000004 0.005647 0.000004 0.000004 0.011467 0.030201 2.214567 0.000004 0.000004 0.040248 0.000004 2.352536 0.451427 3.054097
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 2.676613
(12: 0.005568, 13: 0.005596, 27: 0.000004, 6: 0.000004, 15: 0.005593, 20: 0.000004, 9: 0.000004, (8: 0.000004, (1: 0.000004, 3: 0.005600, 14: 0.000004, 29: 0.005611): 0.005609): 0.005590, (((((((11: 0.000004, (23: 0.000004, 24: 0.000004): 0.052261): 0.005656, 10: 0.000004): 0.000004, 22: 0.005651, (21: 0.005618, 26: 0.000004, 2: 0.000004): 0.017048, 30: 0.022809): 0.016247, ((((17: 0.005647, 5: 0.000004): 0.000004, 7: 0.000004): 0.017279, 19: 0.011467): 0.004252, 25: 0.030201): 0.002272): 0.103503, 18: 2.214567): 0.065853, (16: 0.000004, 4: 0.040248): 0.000004): 0.005602, 28: 0.000004): 0.011186);
(C180: 0.005568, C44: 0.005596, C38: 0.000004, C49: 0.000004, C69: 0.005593, C36: 0.000004, C3: 0.000004, (C172: 0.000004, (C103: 0.000004, C113: 0.005600, C64: 0.000004, C83: 0.005611): 0.005609): 0.005590, (((((((C258: 0.000004, (C135: 0.000004, C134: 0.000004): 0.052261): 0.005656, C122: 0.000004): 0.000004, C282: 0.005651, (C28: 0.005618, C47: 0.000004, C29: 0.000004): 0.017048, C59: 0.022809): 0.016247, ((((C118: 0.005647, C115: 0.000004): 0.000004, C57: 0.000004): 0.017279, C71: 0.011467): 0.004252, C76: 0.030201): 0.002272): 0.103503, C223: 2.214567): 0.065853, (C192: 0.000004, C17: 0.040248): 0.000004): 0.005602, C53: 0.000004): 0.011186);
Detailed output identifying parameters
kappa (ts/tv) = 2.35254
Parameters in M7 (beta):
p = 0.45143 q = 3.05410
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: 0.00036 0.00412 0.01293 0.02783 0.05011 0.08174 0.12599 0.18910 0.28577 0.47315
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.006 456.3 125.7 0.1251 0.0007 0.0059 0.3 0.7
31..13 0.006 456.3 125.7 0.1251 0.0007 0.0059 0.3 0.7
31..27 0.000 456.3 125.7 0.1251 0.0000 0.0000 0.0 0.0
31..6 0.000 456.3 125.7 0.1251 0.0000 0.0000 0.0 0.0
31..15 0.006 456.3 125.7 0.1251 0.0007 0.0059 0.3 0.7
31..20 0.000 456.3 125.7 0.1251 0.0000 0.0000 0.0 0.0
31..9 0.000 456.3 125.7 0.1251 0.0000 0.0000 0.0 0.0
31..32 0.006 456.3 125.7 0.1251 0.0007 0.0059 0.3 0.7
32..8 0.000 456.3 125.7 0.1251 0.0000 0.0000 0.0 0.0
32..33 0.006 456.3 125.7 0.1251 0.0007 0.0060 0.3 0.7
33..1 0.000 456.3 125.7 0.1251 0.0000 0.0000 0.0 0.0
33..3 0.006 456.3 125.7 0.1251 0.0007 0.0059 0.3 0.7
33..14 0.000 456.3 125.7 0.1251 0.0000 0.0000 0.0 0.0
33..29 0.006 456.3 125.7 0.1251 0.0007 0.0060 0.3 0.7
31..34 0.011 456.3 125.7 0.1251 0.0015 0.0119 0.7 1.5
34..35 0.006 456.3 125.7 0.1251 0.0007 0.0059 0.3 0.7
35..36 0.066 456.3 125.7 0.1251 0.0087 0.0699 4.0 8.8
36..37 0.104 456.3 125.7 0.1251 0.0137 0.1098 6.3 13.8
37..38 0.016 456.3 125.7 0.1251 0.0022 0.0172 1.0 2.2
38..39 0.000 456.3 125.7 0.1251 0.0000 0.0000 0.0 0.0
39..40 0.006 456.3 125.7 0.1251 0.0008 0.0060 0.3 0.8
40..11 0.000 456.3 125.7 0.1251 0.0000 0.0000 0.0 0.0
40..41 0.052 456.3 125.7 0.1251 0.0069 0.0555 3.2 7.0
41..23 0.000 456.3 125.7 0.1251 0.0000 0.0000 0.0 0.0
41..24 0.000 456.3 125.7 0.1251 0.0000 0.0000 0.0 0.0
39..10 0.000 456.3 125.7 0.1251 0.0000 0.0000 0.0 0.0
38..22 0.006 456.3 125.7 0.1251 0.0008 0.0060 0.3 0.8
38..42 0.017 456.3 125.7 0.1251 0.0023 0.0181 1.0 2.3
42..21 0.006 456.3 125.7 0.1251 0.0007 0.0060 0.3 0.7
42..26 0.000 456.3 125.7 0.1251 0.0000 0.0000 0.0 0.0
42..2 0.000 456.3 125.7 0.1251 0.0000 0.0000 0.0 0.0
38..30 0.023 456.3 125.7 0.1251 0.0030 0.0242 1.4 3.0
37..43 0.002 456.3 125.7 0.1251 0.0003 0.0024 0.1 0.3
43..44 0.004 456.3 125.7 0.1251 0.0006 0.0045 0.3 0.6
44..45 0.017 456.3 125.7 0.1251 0.0023 0.0183 1.0 2.3
45..46 0.000 456.3 125.7 0.1251 0.0000 0.0000 0.0 0.0
46..17 0.006 456.3 125.7 0.1251 0.0007 0.0060 0.3 0.8
46..5 0.000 456.3 125.7 0.1251 0.0000 0.0000 0.0 0.0
45..7 0.000 456.3 125.7 0.1251 0.0000 0.0000 0.0 0.0
44..19 0.011 456.3 125.7 0.1251 0.0015 0.0122 0.7 1.5
43..25 0.030 456.3 125.7 0.1251 0.0040 0.0321 1.8 4.0
36..18 2.215 456.3 125.7 0.1251 0.2940 2.3502 134.2 295.5
35..47 0.000 456.3 125.7 0.1251 0.0000 0.0000 0.0 0.0
47..16 0.000 456.3 125.7 0.1251 0.0000 0.0000 0.0 0.0
47..4 0.040 456.3 125.7 0.1251 0.0053 0.0427 2.4 5.4
34..28 0.000 456.3 125.7 0.1251 0.0000 0.0000 0.0 0.0
Time used: 28:25
Model 8: beta&w>1 (11 categories)
TREE # 1: (12, 13, 27, 6, 15, 20, 9, (8, (1, 3, 14, 29)), (((((((11, (23, 24)), 10), 22, (21, 26, 2), 30), ((((17, 5), 7), 19), 25)), 18), (16, 4)), 28)); MP score: 185
lnL(ntime: 46 np: 51): -1667.361334 +0.000000
31..12 31..13 31..27 31..6 31..15 31..20 31..9 31..32 32..8 32..33 33..1 33..3 33..14 33..29 31..34 34..35 35..36 36..37 37..38 38..39 39..40 40..11 40..41 41..23 41..24 39..10 38..22 38..42 42..21 42..26 42..2 38..30 37..43 43..44 44..45 45..46 46..17 46..5 45..7 44..19 43..25 36..18 35..47 47..16 47..4 34..28
0.005568 0.005596 0.000004 0.000004 0.005593 0.000004 0.000004 0.005590 0.000004 0.005609 0.000004 0.005600 0.000004 0.005611 0.011186 0.005602 0.065840 0.103535 0.016247 0.000004 0.005656 0.000004 0.052266 0.000004 0.000004 0.000004 0.005652 0.017049 0.005619 0.000004 0.000004 0.022811 0.002273 0.004253 0.017280 0.000004 0.005648 0.000004 0.000004 0.011469 0.030203 2.215116 0.000004 0.000004 0.040252 0.000004 2.352713 0.999471 0.452945 3.074701 1.000000
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 2.677205
(12: 0.005568, 13: 0.005596, 27: 0.000004, 6: 0.000004, 15: 0.005593, 20: 0.000004, 9: 0.000004, (8: 0.000004, (1: 0.000004, 3: 0.005600, 14: 0.000004, 29: 0.005611): 0.005609): 0.005590, (((((((11: 0.000004, (23: 0.000004, 24: 0.000004): 0.052266): 0.005656, 10: 0.000004): 0.000004, 22: 0.005652, (21: 0.005619, 26: 0.000004, 2: 0.000004): 0.017049, 30: 0.022811): 0.016247, ((((17: 0.005648, 5: 0.000004): 0.000004, 7: 0.000004): 0.017280, 19: 0.011469): 0.004253, 25: 0.030203): 0.002273): 0.103535, 18: 2.215116): 0.065840, (16: 0.000004, 4: 0.040252): 0.000004): 0.005602, 28: 0.000004): 0.011186);
(C180: 0.005568, C44: 0.005596, C38: 0.000004, C49: 0.000004, C69: 0.005593, C36: 0.000004, C3: 0.000004, (C172: 0.000004, (C103: 0.000004, C113: 0.005600, C64: 0.000004, C83: 0.005611): 0.005609): 0.005590, (((((((C258: 0.000004, (C135: 0.000004, C134: 0.000004): 0.052266): 0.005656, C122: 0.000004): 0.000004, C282: 0.005652, (C28: 0.005619, C47: 0.000004, C29: 0.000004): 0.017049, C59: 0.022811): 0.016247, ((((C118: 0.005648, C115: 0.000004): 0.000004, C57: 0.000004): 0.017280, C71: 0.011469): 0.004253, C76: 0.030203): 0.002273): 0.103535, C223: 2.215116): 0.065840, (C192: 0.000004, C17: 0.040252): 0.000004): 0.005602, C53: 0.000004): 0.011186);
Detailed output identifying parameters
kappa (ts/tv) = 2.35271
Parameters in M8 (beta&w>1):
p0 = 0.99947 p = 0.45295 q = 3.07470
(p1 = 0.00053) w = 1.00000
MLEs of dN/dS (w) for site classes (K=11)
p: 0.09995 0.09995 0.09995 0.09995 0.09995 0.09995 0.09995 0.09995 0.09995 0.09995 0.00053
w: 0.00036 0.00415 0.01298 0.02787 0.05010 0.08162 0.12568 0.18850 0.28472 0.47135 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.006 456.3 125.7 0.1252 0.0007 0.0059 0.3 0.7
31..13 0.006 456.3 125.7 0.1252 0.0007 0.0059 0.3 0.7
31..27 0.000 456.3 125.7 0.1252 0.0000 0.0000 0.0 0.0
31..6 0.000 456.3 125.7 0.1252 0.0000 0.0000 0.0 0.0
31..15 0.006 456.3 125.7 0.1252 0.0007 0.0059 0.3 0.7
31..20 0.000 456.3 125.7 0.1252 0.0000 0.0000 0.0 0.0
31..9 0.000 456.3 125.7 0.1252 0.0000 0.0000 0.0 0.0
31..32 0.006 456.3 125.7 0.1252 0.0007 0.0059 0.3 0.7
32..8 0.000 456.3 125.7 0.1252 0.0000 0.0000 0.0 0.0
32..33 0.006 456.3 125.7 0.1252 0.0007 0.0060 0.3 0.7
33..1 0.000 456.3 125.7 0.1252 0.0000 0.0000 0.0 0.0
33..3 0.006 456.3 125.7 0.1252 0.0007 0.0059 0.3 0.7
33..14 0.000 456.3 125.7 0.1252 0.0000 0.0000 0.0 0.0
33..29 0.006 456.3 125.7 0.1252 0.0007 0.0060 0.3 0.7
31..34 0.011 456.3 125.7 0.1252 0.0015 0.0119 0.7 1.5
34..35 0.006 456.3 125.7 0.1252 0.0007 0.0059 0.3 0.7
35..36 0.066 456.3 125.7 0.1252 0.0087 0.0699 4.0 8.8
36..37 0.104 456.3 125.7 0.1252 0.0138 0.1099 6.3 13.8
37..38 0.016 456.3 125.7 0.1252 0.0022 0.0172 1.0 2.2
38..39 0.000 456.3 125.7 0.1252 0.0000 0.0000 0.0 0.0
39..40 0.006 456.3 125.7 0.1252 0.0008 0.0060 0.3 0.8
40..11 0.000 456.3 125.7 0.1252 0.0000 0.0000 0.0 0.0
40..41 0.052 456.3 125.7 0.1252 0.0069 0.0555 3.2 7.0
41..23 0.000 456.3 125.7 0.1252 0.0000 0.0000 0.0 0.0
41..24 0.000 456.3 125.7 0.1252 0.0000 0.0000 0.0 0.0
39..10 0.000 456.3 125.7 0.1252 0.0000 0.0000 0.0 0.0
38..22 0.006 456.3 125.7 0.1252 0.0008 0.0060 0.3 0.8
38..42 0.017 456.3 125.7 0.1252 0.0023 0.0181 1.0 2.3
42..21 0.006 456.3 125.7 0.1252 0.0007 0.0060 0.3 0.7
42..26 0.000 456.3 125.7 0.1252 0.0000 0.0000 0.0 0.0
42..2 0.000 456.3 125.7 0.1252 0.0000 0.0000 0.0 0.0
38..30 0.023 456.3 125.7 0.1252 0.0030 0.0242 1.4 3.0
37..43 0.002 456.3 125.7 0.1252 0.0003 0.0024 0.1 0.3
43..44 0.004 456.3 125.7 0.1252 0.0006 0.0045 0.3 0.6
44..45 0.017 456.3 125.7 0.1252 0.0023 0.0183 1.0 2.3
45..46 0.000 456.3 125.7 0.1252 0.0000 0.0000 0.0 0.0
46..17 0.006 456.3 125.7 0.1252 0.0008 0.0060 0.3 0.8
46..5 0.000 456.3 125.7 0.1252 0.0000 0.0000 0.0 0.0
45..7 0.000 456.3 125.7 0.1252 0.0000 0.0000 0.0 0.0
44..19 0.011 456.3 125.7 0.1252 0.0015 0.0122 0.7 1.5
43..25 0.030 456.3 125.7 0.1252 0.0040 0.0320 1.8 4.0
36..18 2.215 456.3 125.7 0.1252 0.2942 2.3502 134.3 295.5
35..47 0.000 456.3 125.7 0.1252 0.0000 0.0000 0.0 0.0
47..16 0.000 456.3 125.7 0.1252 0.0000 0.0000 0.0 0.0
47..4 0.040 456.3 125.7 0.1252 0.0053 0.0427 2.4 5.4
34..28 0.000 456.3 125.7 0.1252 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: C103)
Pr(w>1) post mean +- SE for w
19 H 0.740 1.367 +- 0.558
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 0.001 0.999
p : 0.989 0.011 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
q : 0.000 0.000 0.002 0.031 0.108 0.177 0.200 0.187 0.160 0.135
ws: 0.906 0.076 0.012 0.003 0.001 0.001 0.000 0.000 0.000 0.000
Time used: 57:38
Model 1: NearlyNeutral -1669.984392 Model 2: PositiveSelection -1669.984392 Model 7: beta -1667.361381 Model 8: beta&w>1 -1667.361334 Model 2 vs 1 0 Model 8 vs 7 .000094
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
