--- 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 -1624.46 -1653.34
2 -1622.28 -1649.05
--------------------------------------
TOTAL -1622.86 -1652.66
--------------------------------------
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} 0.171515 0.000525 0.126747 0.214228 0.169946 1274.42 1347.41 1.000
r(A<->C){all} 0.078450 0.000908 0.022342 0.135664 0.075101 819.22 824.81 1.000
r(A<->G){all} 0.149586 0.001341 0.084035 0.220281 0.147364 589.65 645.51 1.000
r(A<->T){all} 0.071417 0.000412 0.034932 0.112173 0.069800 983.22 1014.65 1.000
r(C<->G){all} 0.072375 0.001099 0.015355 0.136772 0.068032 554.14 636.92 1.000
r(C<->T){all} 0.545520 0.002810 0.447635 0.652978 0.546743 657.92 786.00 1.000
r(G<->T){all} 0.082653 0.000628 0.038360 0.131316 0.079603 776.30 786.47 1.001
pi(A){all} 0.280127 0.000264 0.249623 0.311895 0.279858 1080.18 1169.26 1.000
pi(C){all} 0.159895 0.000177 0.135794 0.188141 0.159833 1105.15 1157.66 1.000
pi(G){all} 0.201918 0.000210 0.173985 0.230158 0.201937 1200.41 1278.89 1.000
pi(T){all} 0.358059 0.000309 0.324062 0.392437 0.357969 1259.97 1275.22 1.000
alpha{1,2} 0.878937 0.598491 0.006594 2.424677 0.642234 1096.69 1186.62 1.001
alpha{3} 1.226214 0.962731 0.035686 3.213657 0.930598 951.90 994.81 1.001
pinvar{all} 0.374884 0.027155 0.021835 0.623621 0.397279 606.62 701.41 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 -1553.817829
Model 2: PositiveSelection -1553.817829
Model 7: beta -1553.767629
Model 8: beta&w>1 -1553.767630
Model 2 vs 1 0
Model 8 vs 7 -.000002
-- Starting log on Fri Nov 18 14:39:31 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10636_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Fri Nov 18 14:42:34 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10636_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Fri Nov 18 23:17:34 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10636_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/gapped_alignment/codeml,DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10636_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 690 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C65
Taxon 2 -> C10
Taxon 3 -> C67
Taxon 4 -> C9
Taxon 5 -> C73
Taxon 6 -> C72
Taxon 7 -> C74
Taxon 8 -> C16
Taxon 9 -> C80
Taxon 10 -> C81
Taxon 11 -> C58
Taxon 12 -> C87
Taxon 13 -> C60
Taxon 14 -> C107
Taxon 15 -> C115
Taxon 16 -> C114
Taxon 17 -> C61
Taxon 18 -> C8
Taxon 19 -> C117
Taxon 20 -> C15
Taxon 21 -> C124
Taxon 22 -> C11
Taxon 23 -> C130
Taxon 24 -> C131
Taxon 25 -> C18
Taxon 26 -> C77
Taxon 27 -> C136
Taxon 28 -> C7
Taxon 29 -> C25
Taxon 30 -> C84
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1668813457
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) = 1391443401
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 = 7982266939
Seed = 339238054
Swapseed = 1668813457
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 22 unique site patterns
Division 2 has 17 unique site patterns
Division 3 has 46 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 -- -3551.794594 -- 82.122948
Chain 2 -- -3313.754564 -- 82.122948
Chain 3 -- -3675.386037 -- 82.122948
Chain 4 -- -3734.304440 -- 82.122948
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -3779.609007 -- 82.122948
Chain 2 -- -3839.117911 -- 82.122948
Chain 3 -- -3627.194598 -- 82.122948
Chain 4 -- -3430.987238 -- 82.122948
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-3551.795] (-3313.755) (-3675.386) (-3734.304) * [-3779.609] (-3839.118) (-3627.195) (-3430.987)
1000 -- [-1725.864] (-1739.738) (-1763.192) (-1837.100) * [-1728.193] (-1789.178) (-1736.344) (-1756.858) -- 0:00:00
2000 -- (-1673.296) (-1672.625) [-1649.932] (-1665.760) * [-1652.449] (-1684.108) (-1669.302) (-1656.610) -- 0:08:19
3000 -- (-1655.136) (-1662.767) [-1641.154] (-1650.893) * (-1651.642) (-1647.634) (-1645.912) [-1641.312] -- 0:11:04
4000 -- [-1643.484] (-1646.677) (-1649.661) (-1638.626) * [-1645.617] (-1653.305) (-1645.103) (-1636.619) -- 0:12:27
5000 -- (-1635.470) (-1646.171) (-1644.457) [-1642.294] * (-1652.634) [-1644.171] (-1651.882) (-1641.276) -- 0:09:57
Average standard deviation of split frequencies: 0.079877
6000 -- (-1632.819) (-1643.128) [-1640.411] (-1632.992) * (-1653.221) (-1657.200) (-1635.923) [-1634.793] -- 0:11:02
7000 -- (-1642.166) (-1645.313) [-1639.822] (-1631.625) * (-1637.195) (-1658.103) (-1650.244) [-1629.840] -- 0:11:49
8000 -- [-1634.219] (-1642.010) (-1632.379) (-1635.868) * (-1641.721) [-1638.184] (-1646.628) (-1629.807) -- 0:12:24
9000 -- (-1641.061) (-1632.946) [-1632.543] (-1647.792) * (-1645.103) (-1633.011) (-1646.818) [-1635.845] -- 0:11:00
10000 -- (-1659.819) (-1647.395) (-1631.892) [-1640.851] * (-1638.995) (-1625.046) [-1628.510] (-1641.209) -- 0:11:33
Average standard deviation of split frequencies: 0.072133
11000 -- (-1643.696) (-1634.187) [-1635.013] (-1640.660) * (-1647.486) (-1636.886) (-1645.128) [-1627.529] -- 0:11:59
12000 -- (-1646.478) (-1644.955) (-1638.222) [-1646.618] * (-1636.262) (-1635.339) (-1663.365) [-1623.670] -- 0:12:21
13000 -- (-1643.554) (-1630.600) [-1628.468] (-1645.364) * (-1648.775) (-1629.517) (-1642.172) [-1624.757] -- 0:11:23
14000 -- (-1659.408) [-1635.575] (-1638.174) (-1637.320) * (-1650.261) [-1629.886] (-1647.025) (-1633.413) -- 0:11:44
15000 -- (-1647.133) [-1631.089] (-1643.844) (-1627.430) * (-1629.870) (-1644.427) (-1634.574) [-1627.880] -- 0:12:02
Average standard deviation of split frequencies: 0.053033
16000 -- (-1632.525) (-1633.160) (-1656.503) [-1628.351] * [-1634.337] (-1639.107) (-1636.312) (-1639.656) -- 0:11:16
17000 -- (-1636.942) (-1637.237) (-1631.095) [-1626.749] * (-1626.445) (-1627.133) (-1641.268) [-1638.506] -- 0:11:33
18000 -- (-1655.520) [-1633.269] (-1642.605) (-1637.360) * [-1622.432] (-1629.057) (-1638.218) (-1634.618) -- 0:11:49
19000 -- (-1632.686) (-1636.307) (-1650.363) [-1634.273] * (-1657.556) (-1631.595) (-1640.389) [-1640.269] -- 0:12:02
20000 -- (-1659.417) (-1636.470) (-1646.930) [-1632.355] * (-1631.500) [-1631.459] (-1656.476) (-1641.226) -- 0:11:26
Average standard deviation of split frequencies: 0.050113
21000 -- (-1643.014) (-1640.948) (-1634.742) [-1640.590] * (-1641.499) [-1633.426] (-1635.777) (-1633.195) -- 0:11:39
22000 -- (-1645.282) (-1646.721) (-1646.907) [-1633.210] * (-1636.834) (-1644.807) (-1639.389) [-1631.739] -- 0:11:51
23000 -- (-1638.845) (-1637.295) (-1652.517) [-1627.697] * (-1629.026) [-1638.437] (-1650.979) (-1642.874) -- 0:12:02
24000 -- (-1650.834) [-1626.019] (-1639.092) (-1641.464) * [-1636.797] (-1639.875) (-1648.576) (-1654.894) -- 0:11:31
25000 -- (-1637.428) (-1641.041) [-1632.325] (-1642.469) * (-1640.683) (-1636.186) [-1635.973] (-1648.212) -- 0:11:42
Average standard deviation of split frequencies: 0.042378
26000 -- (-1641.773) (-1639.399) [-1631.550] (-1648.500) * (-1648.381) (-1646.031) (-1626.914) [-1627.271] -- 0:11:51
27000 -- (-1635.490) (-1653.181) [-1627.156] (-1642.303) * (-1634.106) (-1637.200) (-1637.975) [-1623.242] -- 0:12:00
28000 -- [-1631.155] (-1655.684) (-1637.543) (-1640.975) * (-1645.278) [-1641.957] (-1631.079) (-1632.753) -- 0:11:34
29000 -- [-1639.673] (-1635.507) (-1645.433) (-1639.478) * (-1653.802) (-1640.476) (-1644.528) [-1633.577] -- 0:11:43
30000 -- [-1629.154] (-1635.980) (-1649.275) (-1640.996) * [-1629.303] (-1630.028) (-1642.121) (-1642.067) -- 0:11:51
Average standard deviation of split frequencies: 0.046756
31000 -- (-1636.728) (-1636.338) (-1638.882) [-1635.773] * (-1627.209) (-1649.020) [-1638.391] (-1645.677) -- 0:11:58
32000 -- (-1632.629) (-1637.739) (-1638.308) [-1634.238] * [-1639.828] (-1644.595) (-1653.760) (-1647.693) -- 0:11:35
33000 -- [-1642.441] (-1638.945) (-1640.715) (-1659.653) * (-1637.227) (-1653.483) [-1631.462] (-1628.185) -- 0:11:43
34000 -- [-1637.944] (-1650.763) (-1651.026) (-1640.767) * (-1646.143) (-1632.902) [-1623.774] (-1644.920) -- 0:11:50
35000 -- (-1629.165) [-1639.754] (-1640.308) (-1644.791) * (-1627.503) (-1636.266) [-1625.005] (-1639.731) -- 0:11:56
Average standard deviation of split frequencies: 0.040021
36000 -- (-1653.343) (-1633.440) [-1628.722] (-1639.184) * [-1626.211] (-1646.892) (-1632.142) (-1630.837) -- 0:11:36
37000 -- (-1648.170) (-1647.853) [-1628.639] (-1635.899) * (-1634.275) (-1649.051) (-1633.080) [-1621.703] -- 0:11:42
38000 -- (-1634.866) (-1633.241) [-1632.514] (-1651.260) * (-1635.266) (-1637.418) (-1632.766) [-1626.589] -- 0:11:48
39000 -- (-1631.725) [-1633.335] (-1644.963) (-1636.996) * (-1656.254) (-1647.454) (-1637.308) [-1634.093] -- 0:11:54
40000 -- (-1652.842) (-1637.170) (-1647.447) [-1625.543] * (-1634.857) (-1640.623) [-1632.143] (-1641.207) -- 0:11:36
Average standard deviation of split frequencies: 0.036406
41000 -- [-1635.004] (-1633.693) (-1637.452) (-1633.392) * (-1634.055) (-1645.247) (-1631.735) [-1626.569] -- 0:11:41
42000 -- (-1637.142) (-1640.946) [-1634.968] (-1635.616) * (-1635.433) (-1638.960) (-1630.780) [-1626.203] -- 0:11:47
43000 -- (-1632.732) (-1650.683) [-1629.178] (-1661.306) * [-1628.521] (-1630.044) (-1637.398) (-1642.201) -- 0:11:52
44000 -- (-1638.912) (-1643.218) (-1635.379) [-1627.283] * [-1635.371] (-1642.712) (-1621.547) (-1644.923) -- 0:11:35
45000 -- (-1651.038) (-1648.957) [-1630.289] (-1638.592) * (-1647.351) [-1642.046] (-1647.939) (-1639.266) -- 0:11:40
Average standard deviation of split frequencies: 0.034023
46000 -- (-1653.337) [-1631.402] (-1633.966) (-1650.753) * (-1654.540) (-1637.958) (-1636.025) [-1628.835] -- 0:11:45
47000 -- (-1663.360) [-1636.832] (-1641.171) (-1630.915) * (-1632.916) (-1650.622) (-1630.568) [-1635.459] -- 0:11:29
48000 -- (-1663.164) (-1634.545) (-1640.586) [-1631.409] * [-1637.820] (-1639.279) (-1652.588) (-1625.407) -- 0:11:34
49000 -- (-1643.446) [-1634.899] (-1638.727) (-1638.038) * (-1644.371) (-1636.087) (-1636.239) [-1627.364] -- 0:11:38
50000 -- (-1646.959) [-1630.210] (-1643.797) (-1630.057) * (-1655.077) (-1637.245) [-1627.258] (-1653.529) -- 0:11:43
Average standard deviation of split frequencies: 0.030238
51000 -- [-1628.833] (-1641.279) (-1652.542) (-1645.774) * (-1624.307) (-1649.156) (-1625.004) [-1637.068] -- 0:11:28
52000 -- (-1652.505) (-1641.625) (-1642.162) [-1633.948] * (-1632.388) (-1652.251) (-1649.468) [-1622.728] -- 0:11:32
53000 -- (-1648.186) (-1632.290) [-1625.843] (-1628.683) * (-1653.380) (-1644.828) [-1637.264] (-1632.256) -- 0:11:36
54000 -- (-1640.708) (-1641.659) [-1626.670] (-1649.649) * (-1636.515) [-1631.397] (-1640.018) (-1637.118) -- 0:11:40
55000 -- [-1628.351] (-1639.461) (-1638.640) (-1652.096) * (-1650.004) [-1640.112] (-1632.457) (-1641.568) -- 0:11:27
Average standard deviation of split frequencies: 0.027938
56000 -- [-1623.805] (-1639.112) (-1639.147) (-1644.391) * (-1641.454) [-1639.180] (-1636.935) (-1646.543) -- 0:11:31
57000 -- (-1629.411) [-1632.695] (-1638.433) (-1638.982) * (-1635.105) (-1640.617) (-1663.121) [-1643.012] -- 0:11:34
58000 -- (-1625.392) [-1625.620] (-1638.344) (-1646.191) * (-1643.363) (-1654.036) (-1633.281) [-1634.519] -- 0:11:38
59000 -- (-1655.005) [-1634.624] (-1646.068) (-1647.546) * (-1630.460) (-1638.806) (-1636.064) [-1638.415] -- 0:11:25
60000 -- (-1637.570) (-1646.883) [-1633.108] (-1655.899) * (-1633.593) (-1645.597) (-1640.393) [-1641.106] -- 0:11:29
Average standard deviation of split frequencies: 0.026352
61000 -- (-1639.189) [-1636.270] (-1640.866) (-1634.953) * (-1643.818) (-1635.845) [-1633.806] (-1631.409) -- 0:11:32
62000 -- [-1638.734] (-1640.622) (-1640.309) (-1641.340) * (-1636.596) (-1649.324) [-1626.810] (-1628.481) -- 0:11:35
63000 -- (-1634.940) (-1648.086) (-1652.061) [-1633.365] * (-1638.226) (-1635.098) [-1636.912] (-1642.976) -- 0:11:24
64000 -- (-1632.965) (-1628.715) (-1629.679) [-1624.830] * (-1648.846) (-1645.261) [-1631.412] (-1640.053) -- 0:11:27
65000 -- [-1639.300] (-1642.274) (-1642.154) (-1641.123) * (-1629.886) (-1652.873) [-1635.342] (-1648.620) -- 0:11:30
Average standard deviation of split frequencies: 0.024363
66000 -- (-1635.209) (-1647.891) [-1630.092] (-1628.651) * (-1638.130) [-1630.385] (-1645.135) (-1633.006) -- 0:11:33
67000 -- (-1628.827) (-1631.794) (-1647.807) [-1640.697] * [-1632.034] (-1634.127) (-1628.316) (-1631.787) -- 0:11:22
68000 -- (-1645.219) [-1632.842] (-1642.081) (-1635.968) * (-1642.359) (-1631.606) [-1632.787] (-1635.883) -- 0:11:25
69000 -- (-1647.597) (-1632.544) (-1646.498) [-1634.582] * (-1620.303) (-1638.861) (-1649.499) [-1629.499] -- 0:11:28
70000 -- (-1639.643) (-1633.581) (-1649.251) [-1628.723] * (-1620.935) [-1631.197] (-1648.904) (-1652.981) -- 0:11:17
Average standard deviation of split frequencies: 0.022114
71000 -- (-1638.085) [-1643.317] (-1643.648) (-1631.108) * [-1624.236] (-1641.849) (-1645.265) (-1647.008) -- 0:11:20
72000 -- (-1654.299) (-1657.594) [-1630.924] (-1628.821) * (-1640.097) [-1633.403] (-1643.433) (-1644.304) -- 0:11:23
73000 -- (-1646.440) (-1641.643) (-1638.865) [-1617.224] * (-1638.804) (-1634.992) (-1664.030) [-1635.208] -- 0:11:25
74000 -- (-1647.231) (-1644.212) (-1646.296) [-1627.165] * [-1636.776] (-1637.496) (-1659.525) (-1640.750) -- 0:11:15
75000 -- (-1653.151) (-1647.712) (-1631.287) [-1626.357] * (-1646.506) (-1634.188) (-1638.385) [-1636.385] -- 0:11:18
Average standard deviation of split frequencies: 0.020676
76000 -- [-1632.046] (-1646.287) (-1629.950) (-1635.877) * (-1640.445) (-1634.820) (-1649.290) [-1646.005] -- 0:11:20
77000 -- [-1642.637] (-1643.304) (-1642.066) (-1642.346) * (-1628.392) [-1633.481] (-1647.801) (-1644.872) -- 0:11:23
78000 -- (-1640.690) [-1640.085] (-1643.270) (-1654.579) * (-1629.689) (-1641.258) [-1628.689] (-1652.689) -- 0:11:13
79000 -- [-1634.726] (-1636.665) (-1633.931) (-1640.654) * (-1637.044) [-1625.731] (-1639.052) (-1673.537) -- 0:11:16
80000 -- [-1639.673] (-1648.910) (-1645.558) (-1626.534) * [-1634.254] (-1649.192) (-1640.671) (-1657.647) -- 0:11:18
Average standard deviation of split frequencies: 0.021455
81000 -- [-1636.124] (-1629.447) (-1642.572) (-1637.490) * (-1643.349) [-1631.070] (-1637.065) (-1650.067) -- 0:11:20
82000 -- (-1638.492) (-1646.881) [-1644.159] (-1641.142) * (-1644.533) (-1631.557) (-1643.258) [-1645.799] -- 0:11:11
83000 -- [-1637.117] (-1638.304) (-1646.285) (-1648.080) * (-1634.811) (-1636.688) [-1626.488] (-1647.630) -- 0:11:13
84000 -- (-1631.779) (-1633.048) (-1647.440) [-1638.023] * (-1634.661) (-1644.486) (-1642.221) [-1628.780] -- 0:11:16
85000 -- (-1631.974) (-1635.099) [-1636.848] (-1643.045) * (-1646.828) (-1634.326) (-1650.402) [-1631.523] -- 0:11:07
Average standard deviation of split frequencies: 0.019455
86000 -- [-1627.532] (-1639.498) (-1656.656) (-1629.783) * (-1641.768) [-1640.554] (-1654.062) (-1629.677) -- 0:11:09
87000 -- [-1634.865] (-1641.724) (-1634.267) (-1635.376) * [-1630.942] (-1639.316) (-1652.154) (-1640.871) -- 0:11:11
88000 -- (-1635.800) [-1623.160] (-1641.328) (-1650.926) * (-1644.897) (-1640.632) (-1638.913) [-1638.736] -- 0:11:13
89000 -- (-1637.408) (-1653.124) [-1637.929] (-1643.017) * [-1630.018] (-1629.994) (-1640.652) (-1640.497) -- 0:11:05
90000 -- [-1637.133] (-1648.681) (-1634.558) (-1638.738) * [-1635.021] (-1634.395) (-1644.970) (-1632.582) -- 0:11:07
Average standard deviation of split frequencies: 0.020138
91000 -- [-1630.446] (-1661.032) (-1631.812) (-1639.723) * [-1628.757] (-1641.521) (-1659.472) (-1635.635) -- 0:11:09
92000 -- (-1635.583) (-1651.911) [-1638.839] (-1637.614) * (-1640.249) [-1623.661] (-1657.635) (-1634.934) -- 0:11:11
93000 -- (-1642.556) (-1629.664) (-1644.642) [-1651.037] * [-1631.088] (-1621.927) (-1652.409) (-1638.282) -- 0:11:03
94000 -- (-1629.876) (-1641.876) (-1645.339) [-1641.517] * (-1615.374) (-1644.122) (-1635.038) [-1637.237] -- 0:11:05
95000 -- [-1638.563] (-1636.242) (-1620.742) (-1643.445) * (-1650.105) (-1635.150) [-1625.438] (-1665.008) -- 0:11:06
Average standard deviation of split frequencies: 0.019073
96000 -- (-1632.125) (-1653.445) (-1640.326) [-1628.638] * (-1645.546) (-1636.209) [-1625.743] (-1647.090) -- 0:10:59
97000 -- (-1628.533) (-1641.800) [-1627.315] (-1634.243) * (-1644.841) [-1623.484] (-1639.675) (-1636.671) -- 0:11:00
98000 -- (-1639.146) (-1633.138) [-1637.974] (-1650.915) * (-1656.502) (-1640.143) (-1645.639) [-1622.436] -- 0:11:02
99000 -- (-1651.383) (-1651.726) (-1674.050) [-1640.130] * (-1647.389) (-1636.031) [-1626.107] (-1629.612) -- 0:11:04
100000 -- (-1636.488) [-1639.099] (-1652.023) (-1640.901) * [-1625.875] (-1641.201) (-1633.441) (-1633.426) -- 0:10:57
Average standard deviation of split frequencies: 0.021002
101000 -- [-1625.230] (-1631.629) (-1642.530) (-1632.803) * (-1630.605) (-1639.217) (-1643.947) [-1635.175] -- 0:10:58
102000 -- (-1633.253) [-1626.022] (-1640.420) (-1647.070) * (-1631.462) (-1630.657) (-1661.844) [-1633.044] -- 0:11:00
103000 -- (-1632.540) (-1640.394) (-1647.913) [-1628.852] * [-1637.159] (-1639.524) (-1635.218) (-1632.705) -- 0:11:01
104000 -- (-1637.163) [-1637.461] (-1634.237) (-1634.788) * (-1633.239) (-1646.316) (-1637.925) [-1628.216] -- 0:10:54
105000 -- [-1630.473] (-1640.912) (-1632.497) (-1635.834) * (-1633.367) (-1640.023) (-1652.927) [-1630.742] -- 0:10:56
Average standard deviation of split frequencies: 0.021778
106000 -- [-1629.957] (-1627.993) (-1644.984) (-1630.410) * (-1649.591) [-1633.541] (-1651.250) (-1642.775) -- 0:10:57
107000 -- [-1634.604] (-1645.685) (-1646.319) (-1635.776) * [-1635.036] (-1638.778) (-1652.936) (-1640.742) -- 0:10:59
108000 -- [-1640.129] (-1645.235) (-1647.548) (-1645.778) * [-1628.573] (-1646.312) (-1650.805) (-1645.836) -- 0:10:52
109000 -- (-1636.457) [-1635.264] (-1646.900) (-1630.960) * [-1645.394] (-1646.232) (-1645.613) (-1626.071) -- 0:10:53
110000 -- (-1643.431) (-1625.059) (-1635.220) [-1635.093] * (-1649.088) (-1645.779) (-1627.815) [-1639.235] -- 0:10:55
Average standard deviation of split frequencies: 0.021778
111000 -- (-1631.443) (-1646.546) [-1635.261] (-1637.579) * (-1637.163) (-1660.374) (-1630.407) [-1632.998] -- 0:10:56
112000 -- (-1648.235) (-1640.284) [-1621.222] (-1641.503) * (-1649.974) [-1646.515] (-1634.568) (-1631.888) -- 0:10:50
113000 -- (-1637.923) (-1628.605) (-1646.532) [-1633.089] * (-1669.202) (-1633.924) [-1636.336] (-1641.759) -- 0:10:51
114000 -- (-1637.725) (-1639.353) (-1650.807) [-1630.077] * (-1640.822) [-1641.821] (-1625.762) (-1648.469) -- 0:10:52
115000 -- (-1642.143) [-1637.462] (-1665.388) (-1652.641) * (-1664.617) (-1629.584) (-1643.611) [-1624.762] -- 0:10:54
Average standard deviation of split frequencies: 0.020150
116000 -- (-1645.669) [-1633.485] (-1648.627) (-1656.073) * (-1644.462) (-1644.696) [-1629.758] (-1630.001) -- 0:10:47
117000 -- (-1645.653) (-1649.225) [-1642.222] (-1649.389) * (-1635.821) [-1645.791] (-1634.352) (-1637.685) -- 0:10:49
118000 -- (-1635.945) (-1644.365) [-1629.437] (-1659.813) * (-1638.292) (-1650.346) [-1621.129] (-1640.660) -- 0:10:50
119000 -- (-1642.665) (-1633.413) [-1642.119] (-1629.930) * (-1651.718) (-1645.310) [-1645.218] (-1637.671) -- 0:10:51
120000 -- (-1651.259) (-1646.394) (-1633.251) [-1630.238] * (-1642.418) [-1632.624] (-1642.668) (-1641.071) -- 0:10:45
Average standard deviation of split frequencies: 0.020984
121000 -- (-1640.173) (-1645.905) (-1643.851) [-1643.488] * (-1640.088) (-1629.934) [-1625.925] (-1643.197) -- 0:10:46
122000 -- [-1630.137] (-1638.389) (-1651.984) (-1645.190) * (-1648.956) [-1629.618] (-1624.496) (-1644.097) -- 0:10:47
123000 -- (-1641.410) [-1630.162] (-1634.290) (-1628.154) * [-1623.934] (-1645.279) (-1630.050) (-1653.424) -- 0:10:48
124000 -- (-1656.821) [-1626.824] (-1640.657) (-1628.055) * [-1628.111] (-1646.941) (-1635.099) (-1652.341) -- 0:10:42
125000 -- (-1650.557) [-1632.314] (-1649.059) (-1634.835) * [-1633.337] (-1650.138) (-1654.807) (-1647.603) -- 0:10:44
Average standard deviation of split frequencies: 0.020524
126000 -- [-1637.331] (-1632.719) (-1654.812) (-1630.736) * (-1634.672) (-1632.201) (-1651.986) [-1629.890] -- 0:10:45
127000 -- (-1636.787) (-1626.425) (-1666.007) [-1630.636] * (-1646.836) (-1642.934) [-1642.052] (-1657.562) -- 0:10:46
128000 -- (-1633.962) (-1625.465) (-1649.542) [-1635.361] * (-1648.209) (-1637.051) [-1625.428] (-1650.084) -- 0:10:40
129000 -- (-1636.093) [-1628.578] (-1642.021) (-1632.416) * (-1644.481) (-1644.449) [-1642.760] (-1640.125) -- 0:10:41
130000 -- (-1647.370) [-1629.263] (-1639.564) (-1630.180) * [-1637.231] (-1649.469) (-1626.087) (-1637.698) -- 0:10:42
Average standard deviation of split frequencies: 0.018547
131000 -- [-1626.638] (-1626.881) (-1633.228) (-1641.466) * (-1640.901) [-1637.309] (-1632.169) (-1626.516) -- 0:10:43
132000 -- [-1637.197] (-1629.295) (-1636.297) (-1644.581) * [-1624.275] (-1641.592) (-1654.033) (-1639.119) -- 0:10:37
133000 -- (-1652.022) (-1628.721) (-1652.590) [-1632.969] * (-1632.853) (-1647.936) [-1639.789] (-1636.296) -- 0:10:38
134000 -- (-1641.851) (-1645.372) (-1653.317) [-1638.129] * [-1633.441] (-1651.262) (-1640.603) (-1650.522) -- 0:10:39
135000 -- (-1628.848) [-1638.455] (-1645.765) (-1653.919) * (-1638.517) (-1640.228) [-1630.823] (-1638.654) -- 0:10:40
Average standard deviation of split frequencies: 0.018034
136000 -- (-1629.145) (-1631.707) [-1634.250] (-1640.083) * (-1635.121) [-1631.653] (-1645.725) (-1648.538) -- 0:10:35
137000 -- (-1629.467) (-1645.717) [-1639.847] (-1646.846) * (-1652.957) [-1630.875] (-1640.856) (-1634.212) -- 0:10:36
138000 -- [-1633.859] (-1634.199) (-1640.250) (-1643.340) * (-1631.265) (-1644.880) [-1637.161] (-1641.958) -- 0:10:37
139000 -- (-1631.674) (-1639.863) [-1630.541] (-1646.043) * (-1639.272) (-1636.998) (-1656.213) [-1626.905] -- 0:10:38
140000 -- (-1639.909) [-1641.061] (-1644.517) (-1632.997) * (-1630.615) (-1643.242) (-1651.227) [-1636.388] -- 0:10:32
Average standard deviation of split frequencies: 0.018857
141000 -- [-1635.917] (-1649.853) (-1656.151) (-1639.883) * [-1634.268] (-1653.703) (-1625.057) (-1643.914) -- 0:10:33
142000 -- (-1635.990) (-1654.320) (-1650.957) [-1643.106] * (-1642.949) (-1623.384) [-1627.120] (-1643.675) -- 0:10:34
143000 -- (-1639.380) [-1631.582] (-1653.253) (-1635.963) * (-1634.814) [-1631.957] (-1645.343) (-1645.819) -- 0:10:35
144000 -- (-1633.829) (-1642.940) (-1651.457) [-1626.738] * (-1645.009) [-1637.691] (-1648.103) (-1629.847) -- 0:10:30
145000 -- (-1645.966) (-1633.224) [-1641.625] (-1624.476) * (-1639.315) (-1657.381) (-1624.946) [-1636.583] -- 0:10:30
Average standard deviation of split frequencies: 0.017624
146000 -- [-1650.655] (-1640.119) (-1644.603) (-1645.054) * (-1640.032) (-1644.366) (-1644.808) [-1634.695] -- 0:10:31
147000 -- (-1643.257) (-1635.037) [-1648.688] (-1628.071) * (-1629.872) (-1651.362) [-1651.903] (-1638.675) -- 0:10:26
148000 -- (-1642.074) [-1636.981] (-1634.015) (-1640.578) * [-1634.050] (-1645.240) (-1651.691) (-1644.679) -- 0:10:27
149000 -- (-1653.196) (-1635.529) (-1632.976) [-1629.040] * [-1624.468] (-1635.664) (-1646.664) (-1643.066) -- 0:10:28
150000 -- (-1642.414) (-1644.854) (-1626.178) [-1636.099] * [-1630.002] (-1641.926) (-1636.032) (-1645.775) -- 0:10:29
Average standard deviation of split frequencies: 0.018229
151000 -- (-1630.161) [-1621.353] (-1632.228) (-1641.632) * (-1642.045) [-1639.382] (-1643.860) (-1639.220) -- 0:10:24
152000 -- (-1640.598) (-1624.141) (-1643.577) [-1626.384] * [-1658.032] (-1640.290) (-1646.077) (-1632.023) -- 0:10:24
153000 -- (-1642.689) [-1642.181] (-1639.650) (-1636.322) * (-1646.748) (-1632.857) (-1640.181) [-1638.904] -- 0:10:25
154000 -- (-1648.175) (-1639.981) (-1645.845) [-1630.134] * (-1639.490) (-1638.062) [-1628.261] (-1641.285) -- 0:10:26
155000 -- (-1647.237) (-1639.865) (-1630.923) [-1628.470] * (-1632.509) (-1641.148) [-1634.134] (-1643.392) -- 0:10:21
Average standard deviation of split frequencies: 0.018613
156000 -- (-1636.330) (-1643.819) [-1632.033] (-1631.927) * (-1637.200) [-1630.474] (-1632.321) (-1656.684) -- 0:10:22
157000 -- (-1644.902) (-1646.850) (-1624.631) [-1636.012] * (-1639.057) (-1629.314) (-1637.986) [-1636.246] -- 0:10:22
158000 -- (-1646.328) [-1628.688] (-1630.294) (-1637.923) * (-1656.518) [-1630.014] (-1631.771) (-1645.070) -- 0:10:23
159000 -- [-1644.225] (-1637.645) (-1639.457) (-1654.855) * (-1635.039) (-1634.122) (-1628.127) [-1624.205] -- 0:10:18
160000 -- (-1633.428) [-1644.716] (-1643.564) (-1643.300) * (-1640.229) (-1659.140) (-1652.591) [-1625.399] -- 0:10:19
Average standard deviation of split frequencies: 0.018200
161000 -- (-1628.770) (-1638.674) (-1647.683) [-1630.452] * (-1636.014) [-1630.054] (-1645.517) (-1633.033) -- 0:10:20
162000 -- (-1639.732) (-1637.050) [-1626.619] (-1627.479) * (-1631.712) (-1632.402) [-1637.662] (-1653.068) -- 0:10:20
163000 -- (-1641.853) (-1634.665) [-1630.939] (-1632.738) * (-1643.516) (-1628.781) [-1635.183] (-1632.937) -- 0:10:16
164000 -- (-1633.700) (-1639.361) [-1635.968] (-1628.963) * (-1639.678) (-1641.828) (-1640.111) [-1636.716] -- 0:10:16
165000 -- (-1645.943) [-1636.256] (-1638.864) (-1652.635) * (-1638.538) (-1641.729) [-1635.801] (-1635.361) -- 0:10:17
Average standard deviation of split frequencies: 0.017319
166000 -- (-1643.957) (-1632.058) [-1629.407] (-1653.621) * [-1620.989] (-1632.483) (-1640.026) (-1636.638) -- 0:10:12
167000 -- (-1627.611) (-1649.731) (-1643.190) [-1641.857] * [-1638.240] (-1634.072) (-1644.501) (-1631.593) -- 0:10:13
168000 -- (-1633.011) (-1645.139) (-1638.358) [-1632.868] * (-1632.869) [-1626.620] (-1644.302) (-1659.155) -- 0:10:14
169000 -- (-1639.274) (-1640.348) (-1640.303) [-1636.053] * (-1639.839) (-1632.326) (-1639.687) [-1631.719] -- 0:10:14
170000 -- [-1633.593] (-1639.776) (-1638.372) (-1641.612) * (-1639.497) (-1644.593) [-1641.145] (-1633.729) -- 0:10:10
Average standard deviation of split frequencies: 0.016266
171000 -- (-1641.523) (-1650.511) [-1638.424] (-1652.373) * (-1634.724) (-1650.071) (-1632.651) [-1628.973] -- 0:10:10
172000 -- (-1643.437) (-1648.838) [-1625.592] (-1637.743) * [-1641.854] (-1640.081) (-1637.023) (-1635.747) -- 0:10:11
173000 -- (-1647.644) (-1661.485) [-1624.445] (-1648.601) * (-1644.235) (-1643.803) [-1630.897] (-1633.003) -- 0:10:11
174000 -- (-1649.453) (-1652.073) [-1639.263] (-1641.023) * (-1638.539) (-1661.317) [-1624.890] (-1634.467) -- 0:10:07
175000 -- (-1634.376) (-1652.483) (-1642.377) [-1623.896] * (-1639.973) [-1629.818] (-1647.142) (-1639.172) -- 0:10:08
Average standard deviation of split frequencies: 0.016185
176000 -- (-1637.708) (-1629.185) [-1644.432] (-1640.058) * [-1630.302] (-1636.554) (-1640.156) (-1634.899) -- 0:10:08
177000 -- (-1644.676) (-1623.378) [-1636.865] (-1642.326) * (-1622.968) (-1653.190) [-1635.983] (-1634.676) -- 0:10:09
178000 -- (-1644.873) (-1626.833) (-1642.877) [-1628.085] * (-1634.411) (-1654.373) [-1637.435] (-1656.330) -- 0:10:04
179000 -- [-1625.445] (-1638.062) (-1644.416) (-1631.405) * (-1645.711) [-1627.091] (-1649.867) (-1640.721) -- 0:10:05
180000 -- (-1653.093) [-1623.134] (-1633.987) (-1650.915) * (-1635.714) [-1636.920] (-1652.596) (-1636.262) -- 0:10:05
Average standard deviation of split frequencies: 0.016629
181000 -- (-1635.595) (-1634.342) [-1638.386] (-1648.383) * (-1647.278) (-1635.813) (-1639.913) [-1634.594] -- 0:10:01
182000 -- (-1648.952) [-1638.669] (-1644.415) (-1637.369) * (-1648.453) (-1661.681) (-1647.514) [-1631.234] -- 0:10:02
183000 -- (-1635.441) (-1640.409) (-1637.206) [-1637.245] * [-1629.406] (-1636.354) (-1636.469) (-1641.753) -- 0:10:02
184000 -- (-1642.814) [-1628.134] (-1642.077) (-1628.198) * [-1626.326] (-1635.640) (-1651.648) (-1648.809) -- 0:10:03
185000 -- (-1657.717) (-1636.439) [-1643.380] (-1636.809) * (-1634.368) (-1644.275) [-1631.161] (-1643.076) -- 0:09:59
Average standard deviation of split frequencies: 0.016921
186000 -- (-1655.216) [-1629.813] (-1633.386) (-1635.612) * [-1633.005] (-1634.041) (-1632.263) (-1653.116) -- 0:09:59
187000 -- (-1635.089) [-1629.343] (-1645.762) (-1647.925) * (-1641.489) [-1630.155] (-1636.189) (-1644.272) -- 0:09:59
188000 -- [-1639.905] (-1630.307) (-1667.385) (-1654.464) * [-1636.895] (-1639.422) (-1641.969) (-1641.253) -- 0:10:00
189000 -- (-1635.341) (-1642.545) [-1635.890] (-1650.792) * (-1638.747) (-1635.391) [-1644.777] (-1652.160) -- 0:09:56
190000 -- (-1640.510) (-1631.050) [-1632.503] (-1657.998) * (-1640.329) (-1640.422) [-1636.106] (-1648.545) -- 0:09:56
Average standard deviation of split frequencies: 0.016606
191000 -- (-1640.565) [-1634.202] (-1644.018) (-1647.128) * (-1636.951) (-1646.175) [-1631.496] (-1650.564) -- 0:09:57
192000 -- (-1658.621) (-1630.195) (-1649.122) [-1632.598] * (-1651.144) (-1642.379) (-1644.614) [-1633.568] -- 0:09:53
193000 -- (-1656.270) (-1642.124) [-1624.298] (-1640.617) * (-1647.092) (-1640.511) [-1637.624] (-1648.713) -- 0:09:53
194000 -- (-1648.205) (-1642.010) [-1630.994] (-1642.046) * [-1632.795] (-1637.320) (-1642.631) (-1638.344) -- 0:09:54
195000 -- (-1638.323) (-1648.573) (-1637.949) [-1646.735] * (-1638.774) (-1633.171) [-1638.649] (-1636.531) -- 0:09:54
Average standard deviation of split frequencies: 0.016617
196000 -- (-1631.388) (-1643.535) [-1637.316] (-1632.493) * (-1630.823) (-1638.665) [-1644.134] (-1650.305) -- 0:09:50
197000 -- (-1639.770) (-1641.337) (-1646.808) [-1633.281] * (-1637.536) (-1635.278) [-1626.377] (-1629.248) -- 0:09:51
198000 -- (-1653.535) (-1635.830) [-1638.376] (-1645.163) * (-1643.636) (-1632.645) [-1627.585] (-1648.175) -- 0:09:51
199000 -- [-1635.752] (-1643.286) (-1628.982) (-1633.630) * (-1636.281) (-1643.919) [-1643.489] (-1660.708) -- 0:09:51
200000 -- [-1634.427] (-1651.883) (-1630.513) (-1643.986) * (-1629.172) (-1630.248) [-1641.565] (-1653.370) -- 0:09:48
Average standard deviation of split frequencies: 0.015732
201000 -- (-1644.941) [-1641.420] (-1628.326) (-1651.184) * [-1627.283] (-1641.825) (-1629.385) (-1649.750) -- 0:09:48
202000 -- (-1651.917) (-1644.393) (-1636.014) [-1638.616] * [-1630.472] (-1649.351) (-1651.059) (-1639.160) -- 0:09:48
203000 -- (-1633.569) (-1638.150) [-1633.328] (-1640.923) * (-1648.264) (-1639.793) (-1641.454) [-1629.549] -- 0:09:48
204000 -- (-1642.289) (-1634.846) (-1632.120) [-1637.181] * [-1628.054] (-1643.985) (-1633.475) (-1628.653) -- 0:09:45
205000 -- (-1648.372) (-1644.560) (-1630.214) [-1642.015] * [-1631.377] (-1640.130) (-1642.771) (-1632.475) -- 0:09:45
Average standard deviation of split frequencies: 0.015144
206000 -- (-1639.615) (-1639.104) (-1646.384) [-1637.096] * (-1659.820) [-1638.182] (-1638.122) (-1647.610) -- 0:09:45
207000 -- (-1636.911) (-1644.851) [-1631.848] (-1634.809) * (-1662.505) (-1641.457) (-1636.630) [-1638.345] -- 0:09:42
208000 -- (-1646.213) (-1640.154) [-1631.283] (-1644.667) * (-1648.207) (-1641.001) (-1629.463) [-1637.820] -- 0:09:42
209000 -- [-1638.863] (-1641.797) (-1645.187) (-1647.772) * (-1636.185) [-1641.090] (-1636.907) (-1637.625) -- 0:09:42
210000 -- [-1629.031] (-1630.046) (-1660.647) (-1646.041) * (-1641.591) (-1639.368) [-1644.310] (-1632.052) -- 0:09:43
Average standard deviation of split frequencies: 0.014788
211000 -- (-1644.284) [-1627.289] (-1655.146) (-1643.130) * (-1637.499) (-1640.661) (-1630.521) [-1634.312] -- 0:09:39
212000 -- (-1654.391) [-1625.572] (-1649.668) (-1639.249) * (-1643.034) (-1634.136) (-1641.379) [-1637.820] -- 0:09:39
213000 -- (-1628.407) (-1629.458) (-1651.044) [-1638.583] * (-1642.495) [-1647.178] (-1651.537) (-1646.524) -- 0:09:40
214000 -- (-1635.350) (-1638.023) (-1645.780) [-1635.732] * (-1646.094) [-1637.067] (-1638.850) (-1640.635) -- 0:09:40
215000 -- (-1632.982) (-1644.911) (-1644.746) [-1637.620] * (-1648.606) [-1625.969] (-1640.742) (-1640.794) -- 0:09:36
Average standard deviation of split frequencies: 0.015341
216000 -- [-1636.463] (-1649.739) (-1642.235) (-1631.315) * [-1635.536] (-1632.811) (-1638.807) (-1636.979) -- 0:09:37
217000 -- [-1627.803] (-1640.916) (-1642.159) (-1651.553) * (-1636.527) (-1641.160) (-1635.302) [-1642.600] -- 0:09:37
218000 -- [-1627.598] (-1651.775) (-1641.417) (-1638.913) * [-1634.990] (-1637.026) (-1645.948) (-1636.681) -- 0:09:37
219000 -- [-1622.571] (-1637.828) (-1637.941) (-1643.054) * (-1636.540) (-1657.997) [-1639.962] (-1634.839) -- 0:09:34
220000 -- (-1628.683) [-1629.559] (-1633.959) (-1654.252) * (-1633.625) (-1641.215) [-1635.016] (-1630.342) -- 0:09:34
Average standard deviation of split frequencies: 0.014483
221000 -- [-1638.805] (-1650.351) (-1648.398) (-1638.688) * (-1636.026) [-1625.306] (-1644.800) (-1637.356) -- 0:09:34
222000 -- (-1625.031) (-1644.980) (-1657.330) [-1631.406] * [-1640.929] (-1633.799) (-1651.073) (-1632.728) -- 0:09:34
223000 -- (-1646.703) (-1633.283) [-1639.711] (-1638.501) * (-1638.326) [-1627.465] (-1650.352) (-1638.075) -- 0:09:31
224000 -- (-1655.583) (-1642.668) [-1638.330] (-1652.594) * (-1637.583) [-1631.735] (-1645.288) (-1635.752) -- 0:09:31
225000 -- (-1640.580) [-1626.778] (-1622.699) (-1642.048) * [-1636.477] (-1626.473) (-1643.778) (-1637.220) -- 0:09:31
Average standard deviation of split frequencies: 0.013405
226000 -- [-1626.475] (-1636.165) (-1647.006) (-1626.841) * (-1646.632) [-1627.273] (-1644.870) (-1639.787) -- 0:09:31
227000 -- (-1648.239) (-1639.944) [-1629.422] (-1631.006) * (-1631.551) [-1632.503] (-1628.369) (-1645.398) -- 0:09:28
228000 -- (-1651.163) (-1637.020) [-1634.996] (-1643.733) * (-1635.562) (-1649.069) (-1639.963) [-1627.970] -- 0:09:28
229000 -- (-1641.873) [-1639.444] (-1651.213) (-1636.086) * (-1626.411) (-1641.537) [-1631.260] (-1639.356) -- 0:09:28
230000 -- (-1662.410) (-1644.859) [-1629.713] (-1638.878) * (-1640.150) (-1641.449) [-1633.387] (-1631.649) -- 0:09:29
Average standard deviation of split frequencies: 0.012854
231000 -- (-1656.662) (-1638.752) (-1635.012) [-1630.149] * (-1652.956) [-1635.391] (-1639.321) (-1639.401) -- 0:09:25
232000 -- (-1644.645) (-1646.839) [-1631.346] (-1638.600) * (-1645.033) (-1635.844) (-1644.754) [-1633.237] -- 0:09:26
233000 -- (-1635.063) [-1646.115] (-1636.008) (-1646.365) * (-1654.303) [-1626.709] (-1655.978) (-1628.139) -- 0:09:26
234000 -- (-1657.525) (-1656.900) [-1634.804] (-1646.117) * (-1645.890) (-1624.182) [-1640.039] (-1646.408) -- 0:09:26
235000 -- (-1623.430) (-1645.108) (-1645.822) [-1631.193] * (-1644.787) [-1638.058] (-1641.261) (-1644.371) -- 0:09:23
Average standard deviation of split frequencies: 0.012984
236000 -- [-1628.297] (-1636.383) (-1653.637) (-1641.211) * (-1651.940) (-1644.001) (-1643.587) [-1626.096] -- 0:09:23
237000 -- (-1653.365) (-1639.557) (-1638.748) [-1643.535] * (-1642.217) (-1645.521) [-1631.373] (-1636.009) -- 0:09:23
238000 -- (-1661.944) (-1647.760) (-1638.600) [-1638.399] * [-1625.868] (-1640.638) (-1656.430) (-1641.434) -- 0:09:23
239000 -- (-1652.048) (-1655.867) (-1636.128) [-1633.322] * (-1633.962) (-1631.939) [-1632.287] (-1636.667) -- 0:09:20
240000 -- (-1644.662) [-1639.771] (-1639.930) (-1638.794) * (-1639.549) (-1653.590) (-1629.793) [-1625.014] -- 0:09:20
Average standard deviation of split frequencies: 0.012831
241000 -- [-1632.573] (-1631.950) (-1658.502) (-1638.847) * (-1635.473) (-1649.140) [-1630.560] (-1648.677) -- 0:09:20
242000 -- (-1632.933) [-1644.968] (-1636.167) (-1651.917) * [-1627.967] (-1629.052) (-1633.005) (-1651.273) -- 0:09:20
243000 -- (-1634.708) [-1641.980] (-1633.927) (-1652.309) * (-1637.793) [-1636.483] (-1637.752) (-1635.709) -- 0:09:17
244000 -- (-1643.184) (-1651.277) [-1639.008] (-1637.022) * [-1639.296] (-1654.973) (-1631.467) (-1630.648) -- 0:09:17
245000 -- (-1638.957) (-1651.594) (-1645.677) [-1631.732] * (-1632.470) (-1659.179) (-1637.146) [-1632.492] -- 0:09:17
Average standard deviation of split frequencies: 0.012483
246000 -- (-1635.299) (-1642.874) (-1653.533) [-1626.499] * (-1634.110) [-1627.179] (-1637.783) (-1636.619) -- 0:09:17
247000 -- (-1634.758) (-1657.642) [-1639.085] (-1624.530) * (-1634.969) [-1636.692] (-1637.136) (-1646.945) -- 0:09:14
248000 -- (-1640.903) (-1650.117) (-1648.273) [-1622.399] * (-1654.451) (-1631.313) [-1631.256] (-1636.950) -- 0:09:14
249000 -- (-1636.794) (-1656.010) (-1634.819) [-1625.773] * (-1655.655) (-1633.741) [-1626.606] (-1639.286) -- 0:09:14
250000 -- (-1643.878) (-1635.637) [-1636.023] (-1636.607) * (-1648.128) (-1653.088) (-1645.732) [-1626.610] -- 0:09:15
Average standard deviation of split frequencies: 0.011583
251000 -- (-1655.020) (-1629.994) (-1631.865) [-1622.409] * (-1650.490) (-1642.458) [-1640.657] (-1633.286) -- 0:09:12
252000 -- [-1631.947] (-1627.842) (-1631.977) (-1637.810) * (-1643.315) [-1635.932] (-1640.104) (-1645.031) -- 0:09:12
253000 -- (-1636.203) [-1633.219] (-1630.706) (-1638.047) * (-1641.725) (-1641.028) (-1638.563) [-1625.298] -- 0:09:12
254000 -- (-1645.622) [-1637.168] (-1645.340) (-1658.380) * [-1639.087] (-1638.409) (-1650.037) (-1634.056) -- 0:09:09
255000 -- (-1632.884) (-1644.228) [-1636.533] (-1638.633) * [-1633.170] (-1629.163) (-1650.891) (-1635.108) -- 0:09:09
Average standard deviation of split frequencies: 0.010808
256000 -- (-1647.251) (-1646.971) [-1636.347] (-1628.420) * (-1628.795) (-1647.268) (-1647.352) [-1643.132] -- 0:09:09
257000 -- (-1645.015) (-1647.606) [-1631.137] (-1629.960) * (-1628.086) (-1644.799) [-1626.958] (-1640.027) -- 0:09:09
258000 -- (-1646.007) [-1634.027] (-1630.334) (-1632.949) * (-1630.493) [-1635.802] (-1656.084) (-1641.588) -- 0:09:06
259000 -- (-1641.256) [-1638.191] (-1637.904) (-1631.843) * (-1653.725) (-1639.650) (-1658.940) [-1629.457] -- 0:09:06
260000 -- (-1635.022) [-1630.879] (-1642.368) (-1645.506) * [-1626.766] (-1635.487) (-1640.681) (-1646.082) -- 0:09:06
Average standard deviation of split frequencies: 0.011506
261000 -- (-1653.229) (-1643.454) [-1639.953] (-1641.387) * (-1641.867) [-1623.782] (-1637.434) (-1647.457) -- 0:09:06
262000 -- (-1634.603) (-1645.663) [-1634.952] (-1651.473) * (-1656.732) [-1624.933] (-1642.497) (-1632.475) -- 0:09:03
263000 -- (-1637.729) (-1656.937) [-1634.829] (-1644.410) * (-1645.367) (-1636.474) (-1633.065) [-1623.900] -- 0:09:03
264000 -- (-1632.839) (-1630.336) [-1632.941] (-1655.708) * (-1630.589) (-1648.046) (-1641.904) [-1631.580] -- 0:09:03
265000 -- (-1643.842) [-1626.452] (-1633.951) (-1643.707) * [-1636.103] (-1669.521) (-1634.691) (-1644.838) -- 0:09:03
Average standard deviation of split frequencies: 0.011291
266000 -- [-1636.895] (-1634.603) (-1643.701) (-1653.445) * (-1646.703) [-1635.667] (-1640.096) (-1650.899) -- 0:09:00
267000 -- (-1630.530) [-1633.140] (-1625.446) (-1641.426) * (-1637.084) (-1633.479) (-1658.340) [-1646.877] -- 0:09:00
268000 -- [-1631.420] (-1637.024) (-1630.449) (-1649.014) * [-1631.445] (-1633.173) (-1651.813) (-1657.543) -- 0:09:00
269000 -- (-1643.138) (-1642.653) (-1653.169) [-1634.364] * (-1644.200) (-1637.104) (-1658.047) [-1625.803] -- 0:09:00
270000 -- [-1629.342] (-1641.619) (-1665.003) (-1629.578) * [-1628.735] (-1641.529) (-1631.877) (-1637.281) -- 0:08:58
Average standard deviation of split frequencies: 0.010783
271000 -- [-1638.339] (-1635.894) (-1656.546) (-1633.318) * [-1627.335] (-1655.938) (-1640.896) (-1642.830) -- 0:08:58
272000 -- (-1644.914) (-1646.838) [-1636.855] (-1628.789) * (-1646.020) [-1638.694] (-1642.251) (-1642.903) -- 0:08:57
273000 -- (-1633.103) [-1634.718] (-1651.904) (-1635.039) * (-1645.632) (-1640.321) (-1639.207) [-1636.932] -- 0:08:57
274000 -- (-1634.883) (-1643.039) [-1632.446] (-1640.567) * (-1636.817) [-1633.208] (-1629.338) (-1630.894) -- 0:08:55
275000 -- (-1640.571) (-1636.968) [-1636.584] (-1644.333) * (-1644.277) (-1628.343) (-1640.875) [-1623.586] -- 0:08:55
Average standard deviation of split frequencies: 0.010399
276000 -- (-1633.745) [-1633.461] (-1643.333) (-1633.930) * (-1643.603) (-1636.942) [-1633.375] (-1648.671) -- 0:08:55
277000 -- (-1640.820) [-1625.467] (-1638.402) (-1628.909) * [-1632.870] (-1649.874) (-1642.879) (-1637.854) -- 0:08:55
278000 -- (-1646.495) (-1633.511) [-1630.415] (-1630.228) * [-1646.652] (-1646.935) (-1645.698) (-1648.849) -- 0:08:52
279000 -- [-1639.233] (-1629.245) (-1638.387) (-1640.176) * [-1627.092] (-1665.725) (-1634.616) (-1641.882) -- 0:08:52
280000 -- (-1641.861) (-1640.628) [-1637.249] (-1647.610) * [-1628.207] (-1650.193) (-1619.054) (-1652.118) -- 0:08:52
Average standard deviation of split frequencies: 0.009929
281000 -- (-1637.066) [-1631.472] (-1654.960) (-1647.907) * (-1647.858) [-1634.974] (-1637.186) (-1639.739) -- 0:08:49
282000 -- (-1633.315) (-1631.141) [-1632.664] (-1622.706) * (-1641.304) (-1627.056) [-1632.966] (-1628.234) -- 0:08:49
283000 -- [-1629.517] (-1646.046) (-1636.563) (-1632.278) * (-1640.188) (-1632.778) [-1630.227] (-1645.378) -- 0:08:49
284000 -- (-1643.062) (-1636.866) [-1630.661] (-1654.727) * (-1647.557) (-1640.476) (-1641.206) [-1632.103] -- 0:08:49
285000 -- [-1638.902] (-1643.770) (-1642.728) (-1645.510) * (-1634.424) (-1649.922) [-1637.098] (-1627.472) -- 0:08:46
Average standard deviation of split frequencies: 0.010320
286000 -- (-1647.235) (-1666.703) (-1640.745) [-1630.490] * (-1634.682) (-1648.046) (-1647.137) [-1623.203] -- 0:08:46
287000 -- [-1637.003] (-1641.683) (-1655.119) (-1640.135) * (-1638.279) (-1642.827) [-1639.567] (-1630.115) -- 0:08:46
288000 -- (-1641.067) [-1643.325] (-1660.169) (-1651.468) * (-1627.809) (-1645.874) [-1625.233] (-1641.988) -- 0:08:46
289000 -- [-1640.427] (-1651.148) (-1658.694) (-1648.388) * (-1644.502) [-1632.494] (-1637.536) (-1631.799) -- 0:08:44
290000 -- [-1629.163] (-1643.341) (-1648.733) (-1643.748) * [-1624.426] (-1636.350) (-1645.717) (-1643.668) -- 0:08:43
Average standard deviation of split frequencies: 0.010224
291000 -- [-1631.547] (-1643.935) (-1638.732) (-1643.484) * (-1637.941) (-1633.432) (-1638.062) [-1622.957] -- 0:08:43
292000 -- [-1629.329] (-1643.890) (-1638.186) (-1631.168) * (-1636.091) (-1630.121) [-1638.506] (-1647.130) -- 0:08:43
293000 -- (-1646.712) [-1633.795] (-1644.080) (-1654.720) * [-1633.728] (-1634.818) (-1634.591) (-1637.434) -- 0:08:41
294000 -- [-1632.201] (-1631.795) (-1649.668) (-1638.854) * (-1647.791) (-1630.716) [-1625.709] (-1630.584) -- 0:08:41
295000 -- (-1640.411) (-1626.521) (-1648.043) [-1629.822] * (-1647.221) (-1667.072) [-1635.364] (-1638.977) -- 0:08:40
Average standard deviation of split frequencies: 0.009870
296000 -- (-1655.400) (-1641.166) [-1639.621] (-1649.245) * (-1670.228) (-1639.647) [-1633.153] (-1643.210) -- 0:08:38
297000 -- (-1635.542) (-1634.789) (-1644.522) [-1641.342] * (-1666.020) (-1637.935) (-1638.497) [-1643.108] -- 0:08:38
298000 -- (-1630.134) (-1655.837) (-1630.415) [-1635.499] * (-1653.522) (-1640.633) (-1642.372) [-1638.571] -- 0:08:38
299000 -- [-1639.259] (-1641.534) (-1632.396) (-1630.892) * [-1621.906] (-1647.731) (-1640.238) (-1652.658) -- 0:08:38
300000 -- (-1642.745) (-1649.429) [-1639.246] (-1638.504) * [-1631.371] (-1641.806) (-1642.868) (-1635.813) -- 0:08:35
Average standard deviation of split frequencies: 0.010362
301000 -- (-1635.347) [-1638.408] (-1639.802) (-1643.799) * (-1638.236) (-1641.350) (-1655.351) [-1640.132] -- 0:08:35
302000 -- [-1636.889] (-1635.537) (-1642.245) (-1638.204) * (-1641.272) (-1634.693) (-1642.199) [-1634.375] -- 0:08:35
303000 -- (-1640.400) (-1638.665) (-1645.860) [-1633.036] * (-1641.977) [-1627.583] (-1635.612) (-1651.186) -- 0:08:35
304000 -- (-1634.924) (-1641.788) [-1635.611] (-1633.188) * (-1647.325) (-1629.412) [-1632.504] (-1642.106) -- 0:08:32
305000 -- (-1636.106) (-1644.539) [-1631.371] (-1643.252) * [-1632.472] (-1623.962) (-1634.210) (-1650.212) -- 0:08:32
Average standard deviation of split frequencies: 0.010142
306000 -- [-1639.009] (-1644.200) (-1636.559) (-1628.322) * (-1641.899) (-1646.559) [-1622.708] (-1653.515) -- 0:08:32
307000 -- (-1641.077) (-1633.676) [-1640.239] (-1631.972) * (-1641.832) (-1640.070) (-1639.782) [-1641.048] -- 0:08:30
308000 -- (-1652.232) (-1637.199) (-1644.364) [-1633.090] * (-1637.219) (-1629.501) [-1632.233] (-1631.851) -- 0:08:30
309000 -- (-1646.242) [-1636.508] (-1649.213) (-1630.193) * (-1637.086) (-1641.386) [-1640.217] (-1648.204) -- 0:08:29
310000 -- (-1629.842) (-1644.874) (-1638.687) [-1628.551] * (-1628.023) (-1643.612) (-1642.023) [-1633.223] -- 0:08:29
Average standard deviation of split frequencies: 0.009863
311000 -- (-1636.391) (-1638.890) (-1627.584) [-1634.686] * [-1633.070] (-1631.757) (-1636.745) (-1627.660) -- 0:08:27
312000 -- [-1630.111] (-1639.395) (-1636.480) (-1631.320) * (-1641.924) (-1637.505) [-1646.335] (-1629.102) -- 0:08:27
313000 -- (-1635.300) (-1639.122) (-1635.506) [-1639.130] * [-1634.933] (-1637.789) (-1645.719) (-1624.868) -- 0:08:27
314000 -- (-1648.485) [-1623.834] (-1627.560) (-1661.140) * (-1635.097) [-1632.599] (-1655.305) (-1635.655) -- 0:08:26
315000 -- (-1648.182) [-1625.302] (-1641.026) (-1638.960) * (-1633.430) [-1627.889] (-1637.216) (-1630.921) -- 0:08:24
Average standard deviation of split frequencies: 0.009945
316000 -- (-1641.544) [-1634.498] (-1637.257) (-1628.212) * (-1638.977) [-1627.872] (-1646.780) (-1667.385) -- 0:08:24
317000 -- [-1623.528] (-1638.171) (-1653.967) (-1655.159) * (-1633.610) (-1630.611) [-1629.065] (-1665.486) -- 0:08:24
318000 -- [-1631.150] (-1630.645) (-1635.882) (-1655.895) * (-1643.849) (-1633.405) [-1646.829] (-1640.817) -- 0:08:23
319000 -- (-1632.234) [-1628.829] (-1633.855) (-1642.730) * [-1630.476] (-1636.824) (-1626.109) (-1651.196) -- 0:08:21
320000 -- [-1626.213] (-1640.043) (-1648.698) (-1639.838) * (-1640.430) [-1621.868] (-1634.940) (-1634.163) -- 0:08:21
Average standard deviation of split frequencies: 0.010249
321000 -- (-1640.589) [-1651.573] (-1656.427) (-1638.393) * (-1634.418) [-1640.389] (-1645.203) (-1647.480) -- 0:08:21
322000 -- [-1636.965] (-1650.660) (-1649.311) (-1637.664) * (-1635.336) [-1643.914] (-1654.753) (-1643.169) -- 0:08:21
323000 -- [-1632.353] (-1635.407) (-1651.147) (-1647.234) * [-1643.789] (-1634.836) (-1638.551) (-1640.115) -- 0:08:18
324000 -- [-1635.616] (-1633.153) (-1647.939) (-1651.648) * [-1637.358] (-1645.154) (-1631.441) (-1654.028) -- 0:08:18
325000 -- (-1643.943) [-1643.680] (-1652.114) (-1653.199) * [-1632.246] (-1663.319) (-1644.564) (-1649.707) -- 0:08:18
Average standard deviation of split frequencies: 0.009776
326000 -- (-1630.773) [-1641.758] (-1642.386) (-1645.629) * (-1637.012) [-1627.476] (-1634.453) (-1643.448) -- 0:08:18
327000 -- (-1637.015) (-1642.372) [-1628.483] (-1647.099) * (-1648.611) [-1634.176] (-1630.665) (-1629.600) -- 0:08:16
328000 -- [-1641.913] (-1628.103) (-1641.110) (-1627.345) * (-1641.695) (-1647.960) (-1635.579) [-1634.921] -- 0:08:15
329000 -- (-1636.349) [-1640.880] (-1650.739) (-1633.168) * (-1647.918) (-1641.865) [-1639.933] (-1633.491) -- 0:08:15
330000 -- (-1644.473) (-1638.914) [-1634.347] (-1634.581) * (-1642.863) (-1639.451) (-1635.687) [-1626.298] -- 0:08:13
Average standard deviation of split frequencies: 0.009156
331000 -- [-1624.680] (-1646.090) (-1639.007) (-1643.415) * (-1639.810) (-1649.826) [-1630.018] (-1627.792) -- 0:08:13
332000 -- (-1637.422) (-1640.373) [-1637.875] (-1643.695) * (-1624.526) (-1633.803) [-1634.640] (-1644.396) -- 0:08:12
333000 -- (-1649.765) (-1644.133) [-1627.331] (-1631.857) * (-1634.608) (-1628.897) [-1633.877] (-1635.058) -- 0:08:12
334000 -- (-1637.910) [-1633.246] (-1630.258) (-1651.462) * [-1645.141] (-1650.303) (-1637.963) (-1635.566) -- 0:08:10
335000 -- (-1648.380) [-1640.679] (-1629.945) (-1638.473) * (-1641.958) (-1648.304) (-1647.425) [-1634.370] -- 0:08:10
Average standard deviation of split frequencies: 0.009548
336000 -- (-1638.336) (-1636.465) [-1640.244] (-1649.396) * (-1641.729) (-1643.018) [-1626.470] (-1640.884) -- 0:08:10
337000 -- (-1635.223) [-1652.302] (-1644.405) (-1627.355) * (-1642.984) [-1638.160] (-1637.683) (-1635.025) -- 0:08:09
338000 -- (-1660.018) (-1648.452) (-1660.337) [-1630.645] * [-1634.209] (-1631.906) (-1634.045) (-1632.806) -- 0:08:07
339000 -- [-1633.347] (-1647.533) (-1651.845) (-1634.180) * [-1628.140] (-1642.205) (-1630.760) (-1633.756) -- 0:08:07
340000 -- (-1648.019) [-1643.585] (-1645.891) (-1634.635) * (-1632.048) [-1636.231] (-1638.375) (-1641.972) -- 0:08:07
Average standard deviation of split frequencies: 0.009167
341000 -- (-1654.440) [-1632.737] (-1647.583) (-1637.197) * (-1636.629) (-1629.835) [-1627.303] (-1649.732) -- 0:08:07
342000 -- (-1646.228) [-1634.617] (-1632.045) (-1626.701) * [-1624.587] (-1632.522) (-1640.726) (-1658.297) -- 0:08:04
343000 -- (-1651.521) [-1630.314] (-1640.742) (-1643.741) * (-1627.137) [-1619.654] (-1638.881) (-1650.458) -- 0:08:04
344000 -- (-1652.705) [-1630.735] (-1639.310) (-1642.931) * [-1636.937] (-1637.729) (-1651.206) (-1632.395) -- 0:08:04
345000 -- (-1644.775) (-1636.996) [-1632.236] (-1634.192) * [-1638.495] (-1641.500) (-1658.904) (-1636.921) -- 0:08:04
Average standard deviation of split frequencies: 0.009121
346000 -- (-1643.021) [-1631.958] (-1638.373) (-1637.305) * (-1644.480) (-1629.661) (-1649.781) [-1633.517] -- 0:08:01
347000 -- (-1646.890) [-1637.330] (-1643.536) (-1640.197) * [-1632.050] (-1634.070) (-1645.226) (-1631.219) -- 0:08:01
348000 -- (-1647.076) (-1651.907) [-1633.983] (-1647.706) * (-1634.635) [-1619.966] (-1643.522) (-1656.849) -- 0:08:01
349000 -- (-1641.144) (-1658.438) (-1634.246) [-1635.571] * [-1634.362] (-1646.076) (-1632.662) (-1651.311) -- 0:08:01
350000 -- (-1629.732) (-1641.222) (-1630.338) [-1629.033] * (-1634.072) (-1628.487) (-1643.713) [-1629.453] -- 0:07:59
Average standard deviation of split frequencies: 0.009186
351000 -- (-1631.621) (-1639.258) [-1624.138] (-1626.091) * (-1641.380) [-1629.622] (-1632.206) (-1645.907) -- 0:07:58
352000 -- (-1637.302) (-1642.321) [-1629.126] (-1654.546) * (-1654.956) (-1640.118) [-1636.764] (-1633.782) -- 0:07:58
353000 -- [-1627.808] (-1642.482) (-1634.889) (-1652.141) * (-1642.695) (-1646.621) (-1631.837) [-1623.728] -- 0:07:58
354000 -- (-1630.032) [-1633.718] (-1637.557) (-1647.812) * (-1638.144) (-1638.886) [-1630.667] (-1637.256) -- 0:07:56
355000 -- (-1632.479) (-1648.095) [-1631.808] (-1644.398) * (-1639.462) [-1637.837] (-1635.288) (-1641.335) -- 0:07:56
Average standard deviation of split frequencies: 0.009232
356000 -- (-1626.544) (-1631.031) [-1638.822] (-1663.351) * (-1634.459) (-1643.002) [-1632.272] (-1651.492) -- 0:07:55
357000 -- (-1633.350) [-1644.149] (-1641.068) (-1665.183) * [-1642.088] (-1660.237) (-1640.709) (-1640.644) -- 0:07:55
358000 -- [-1638.438] (-1628.929) (-1645.936) (-1669.009) * (-1636.883) (-1642.641) (-1662.160) [-1636.314] -- 0:07:53
359000 -- (-1644.742) [-1627.173] (-1638.610) (-1631.419) * (-1648.935) [-1634.676] (-1652.816) (-1634.250) -- 0:07:53
360000 -- (-1644.888) (-1632.655) [-1637.607] (-1631.786) * [-1636.844] (-1622.337) (-1632.843) (-1635.619) -- 0:07:52
Average standard deviation of split frequencies: 0.008605
361000 -- (-1644.300) (-1643.264) (-1640.842) [-1628.872] * (-1642.156) [-1620.221] (-1644.569) (-1644.969) -- 0:07:52
362000 -- [-1638.548] (-1645.046) (-1646.433) (-1633.155) * (-1650.822) [-1627.476] (-1635.666) (-1638.383) -- 0:07:50
363000 -- (-1646.038) (-1642.168) (-1627.886) [-1634.933] * (-1650.956) [-1635.171] (-1645.798) (-1633.529) -- 0:07:50
364000 -- (-1646.101) (-1649.036) [-1640.028] (-1641.538) * (-1641.194) [-1626.606] (-1642.698) (-1645.617) -- 0:07:50
365000 -- (-1649.829) [-1636.975] (-1647.104) (-1635.869) * (-1645.133) (-1633.688) (-1629.960) [-1637.229] -- 0:07:49
Average standard deviation of split frequencies: 0.008622
366000 -- (-1638.772) [-1631.347] (-1642.610) (-1629.315) * (-1631.911) (-1652.752) [-1632.195] (-1641.226) -- 0:07:47
367000 -- [-1636.294] (-1637.621) (-1645.651) (-1630.913) * (-1644.345) (-1645.555) [-1626.794] (-1637.804) -- 0:07:47
368000 -- (-1640.402) [-1631.155] (-1653.041) (-1652.595) * (-1638.681) (-1640.280) (-1629.181) [-1636.164] -- 0:07:47
369000 -- [-1637.645] (-1631.857) (-1634.724) (-1638.590) * (-1641.385) (-1648.239) [-1631.270] (-1649.233) -- 0:07:46
370000 -- [-1634.928] (-1656.065) (-1654.709) (-1647.216) * (-1633.850) [-1628.215] (-1641.140) (-1660.138) -- 0:07:44
Average standard deviation of split frequencies: 0.008267
371000 -- (-1638.871) [-1628.733] (-1655.402) (-1624.663) * [-1631.419] (-1632.759) (-1633.459) (-1647.096) -- 0:07:44
372000 -- (-1643.765) [-1640.708] (-1640.673) (-1638.499) * (-1649.728) (-1641.422) [-1631.801] (-1638.497) -- 0:07:44
373000 -- (-1632.917) (-1645.992) [-1643.149] (-1667.817) * (-1657.413) (-1625.429) (-1636.045) [-1639.367] -- 0:07:43
374000 -- (-1634.886) [-1633.588] (-1647.751) (-1644.361) * (-1655.561) (-1636.146) (-1639.495) [-1634.270] -- 0:07:41
375000 -- (-1639.183) [-1647.506] (-1639.042) (-1651.689) * (-1649.349) (-1637.226) (-1632.791) [-1623.535] -- 0:07:41
Average standard deviation of split frequencies: 0.007697
376000 -- (-1640.038) (-1643.051) [-1628.847] (-1644.409) * (-1633.356) [-1638.218] (-1656.499) (-1642.616) -- 0:07:41
377000 -- (-1629.526) (-1640.870) [-1632.592] (-1641.393) * [-1637.815] (-1642.009) (-1634.630) (-1642.406) -- 0:07:41
378000 -- [-1632.347] (-1644.656) (-1648.425) (-1644.128) * [-1632.879] (-1638.835) (-1623.316) (-1647.673) -- 0:07:39
379000 -- (-1648.498) [-1628.341] (-1648.337) (-1654.217) * [-1637.898] (-1629.555) (-1629.413) (-1657.555) -- 0:07:38
380000 -- (-1654.977) (-1637.276) (-1634.023) [-1633.659] * [-1631.205] (-1637.387) (-1637.445) (-1640.872) -- 0:07:38
Average standard deviation of split frequencies: 0.007327
381000 -- [-1633.004] (-1635.738) (-1643.728) (-1642.048) * (-1650.303) [-1632.908] (-1633.137) (-1647.549) -- 0:07:36
382000 -- (-1631.923) (-1641.022) [-1630.872] (-1651.913) * (-1635.869) (-1629.853) (-1639.548) [-1636.279] -- 0:07:36
383000 -- (-1642.482) [-1632.377] (-1634.401) (-1651.233) * (-1649.127) [-1626.139] (-1631.833) (-1631.152) -- 0:07:35
384000 -- (-1636.161) [-1644.282] (-1648.819) (-1639.729) * (-1646.560) (-1631.852) [-1636.438] (-1647.939) -- 0:07:35
385000 -- (-1633.491) (-1636.788) [-1627.570] (-1649.409) * (-1651.125) (-1636.852) [-1635.235] (-1640.561) -- 0:07:33
Average standard deviation of split frequencies: 0.007514
386000 -- [-1634.436] (-1636.271) (-1638.459) (-1643.150) * [-1639.472] (-1635.888) (-1636.205) (-1641.628) -- 0:07:33
387000 -- [-1648.924] (-1636.274) (-1635.842) (-1636.311) * (-1646.687) (-1631.855) [-1628.627] (-1649.288) -- 0:07:33
388000 -- [-1633.950] (-1652.384) (-1652.027) (-1640.072) * (-1631.148) (-1645.343) (-1634.778) [-1623.781] -- 0:07:32
389000 -- (-1644.117) (-1645.913) [-1632.858] (-1637.815) * (-1637.771) [-1642.163] (-1638.431) (-1639.609) -- 0:07:30
390000 -- [-1640.766] (-1651.290) (-1647.266) (-1629.496) * (-1645.828) (-1655.535) (-1640.819) [-1634.303] -- 0:07:30
Average standard deviation of split frequencies: 0.007257
391000 -- (-1633.648) [-1631.630] (-1647.376) (-1627.532) * [-1626.692] (-1644.430) (-1636.698) (-1637.696) -- 0:07:30
392000 -- [-1638.703] (-1635.160) (-1650.396) (-1631.292) * [-1632.734] (-1649.739) (-1646.062) (-1643.730) -- 0:07:29
393000 -- (-1634.675) (-1636.124) [-1634.563] (-1653.327) * (-1630.974) (-1640.111) [-1632.140] (-1657.459) -- 0:07:27
394000 -- (-1643.443) (-1645.650) (-1632.432) [-1632.613] * (-1649.551) (-1634.343) [-1632.787] (-1642.652) -- 0:07:27
395000 -- (-1641.375) (-1643.819) (-1631.541) [-1634.645] * (-1653.907) (-1635.459) [-1627.660] (-1637.927) -- 0:07:27
Average standard deviation of split frequencies: 0.007159
396000 -- (-1639.426) (-1626.724) (-1641.365) [-1647.065] * (-1650.351) (-1644.377) (-1638.615) [-1632.537] -- 0:07:26
397000 -- (-1639.747) [-1634.699] (-1625.786) (-1635.063) * (-1643.472) (-1638.164) [-1636.954] (-1648.654) -- 0:07:25
398000 -- (-1642.435) (-1653.210) [-1638.875] (-1630.133) * (-1629.147) (-1632.742) [-1620.861] (-1634.954) -- 0:07:24
399000 -- [-1630.053] (-1652.824) (-1635.835) (-1632.862) * (-1628.007) (-1633.974) (-1637.079) [-1638.760] -- 0:07:24
400000 -- (-1632.521) (-1640.753) (-1645.376) [-1639.554] * (-1634.701) [-1633.455] (-1650.974) (-1643.875) -- 0:07:24
Average standard deviation of split frequencies: 0.006896
401000 -- [-1638.071] (-1643.281) (-1645.578) (-1632.727) * (-1634.556) (-1630.986) (-1653.099) [-1636.190] -- 0:07:22
402000 -- (-1650.773) [-1631.507] (-1654.489) (-1637.741) * (-1639.923) [-1630.770] (-1640.000) (-1639.138) -- 0:07:21
403000 -- (-1658.642) (-1634.917) [-1638.693] (-1640.372) * [-1632.638] (-1645.861) (-1635.969) (-1631.805) -- 0:07:21
404000 -- [-1638.474] (-1650.780) (-1644.842) (-1625.783) * (-1643.202) (-1651.473) (-1640.940) [-1636.068] -- 0:07:21
405000 -- (-1638.892) (-1650.014) [-1637.083] (-1635.661) * (-1652.291) [-1638.150] (-1641.455) (-1642.907) -- 0:07:19
Average standard deviation of split frequencies: 0.006547
406000 -- (-1645.267) [-1631.737] (-1644.196) (-1653.748) * (-1648.578) [-1628.852] (-1641.051) (-1635.219) -- 0:07:18
407000 -- [-1637.843] (-1628.015) (-1628.768) (-1647.186) * (-1638.942) (-1645.648) (-1632.445) [-1622.683] -- 0:07:18
408000 -- (-1629.794) (-1636.553) (-1643.844) [-1642.373] * (-1634.890) (-1647.305) (-1638.625) [-1625.386] -- 0:07:16
409000 -- [-1634.887] (-1641.211) (-1650.172) (-1636.528) * (-1624.873) (-1638.426) [-1624.066] (-1637.382) -- 0:07:16
410000 -- (-1641.826) (-1644.350) (-1651.051) [-1630.388] * (-1650.112) [-1635.948] (-1644.526) (-1664.240) -- 0:07:16
Average standard deviation of split frequencies: 0.006664
411000 -- [-1633.895] (-1648.401) (-1645.924) (-1625.511) * (-1642.141) (-1646.398) [-1626.183] (-1646.771) -- 0:07:15
412000 -- [-1635.969] (-1632.955) (-1638.764) (-1642.272) * [-1627.541] (-1651.101) (-1639.357) (-1634.756) -- 0:07:13
413000 -- (-1645.603) [-1634.909] (-1654.649) (-1653.441) * (-1635.892) [-1629.684] (-1634.334) (-1627.473) -- 0:07:13
414000 -- (-1650.707) [-1631.367] (-1652.417) (-1639.790) * (-1645.695) (-1636.382) (-1648.639) [-1629.443] -- 0:07:13
415000 -- [-1639.972] (-1641.665) (-1644.109) (-1644.214) * (-1645.967) [-1633.096] (-1650.707) (-1653.131) -- 0:07:12
Average standard deviation of split frequencies: 0.006453
416000 -- (-1629.360) (-1643.921) (-1638.728) [-1630.331] * (-1650.676) (-1631.237) [-1634.844] (-1649.118) -- 0:07:10
417000 -- [-1633.503] (-1631.066) (-1632.220) (-1642.441) * (-1646.393) (-1638.414) (-1638.373) [-1634.587] -- 0:07:10
418000 -- (-1628.466) (-1634.769) (-1647.598) [-1629.084] * [-1630.014] (-1639.495) (-1661.315) (-1639.053) -- 0:07:10
419000 -- (-1651.034) (-1629.017) (-1631.348) [-1628.162] * (-1630.164) (-1645.531) [-1638.631] (-1639.330) -- 0:07:09
420000 -- (-1633.053) (-1634.465) (-1633.275) [-1634.221] * [-1631.799] (-1641.713) (-1657.932) (-1645.561) -- 0:07:08
Average standard deviation of split frequencies: 0.006366
421000 -- (-1630.715) (-1653.017) (-1643.622) [-1634.425] * [-1632.720] (-1627.875) (-1649.982) (-1646.412) -- 0:07:07
422000 -- (-1659.610) [-1627.503] (-1652.757) (-1639.434) * [-1634.767] (-1628.418) (-1643.183) (-1642.763) -- 0:07:07
423000 -- (-1637.923) [-1631.960] (-1636.906) (-1650.291) * (-1635.741) [-1632.560] (-1636.963) (-1650.705) -- 0:07:05
424000 -- [-1639.164] (-1641.575) (-1645.434) (-1639.215) * (-1633.512) [-1626.460] (-1646.223) (-1643.754) -- 0:07:05
425000 -- (-1628.393) (-1644.026) (-1647.190) [-1628.674] * (-1649.094) (-1633.079) (-1634.532) [-1627.753] -- 0:07:04
Average standard deviation of split frequencies: 0.005825
426000 -- [-1637.783] (-1639.982) (-1649.920) (-1645.770) * (-1649.398) (-1634.767) (-1638.347) [-1639.651] -- 0:07:04
427000 -- [-1631.107] (-1642.487) (-1642.050) (-1642.186) * (-1650.951) (-1637.194) [-1623.690] (-1633.041) -- 0:07:02
428000 -- (-1640.721) (-1630.811) (-1641.149) [-1631.389] * [-1623.925] (-1655.136) (-1638.590) (-1646.595) -- 0:07:02
429000 -- [-1637.491] (-1636.914) (-1642.285) (-1642.417) * [-1636.336] (-1633.096) (-1650.378) (-1640.162) -- 0:07:01
430000 -- (-1629.209) [-1627.216] (-1650.356) (-1647.011) * (-1640.917) (-1641.753) [-1636.328] (-1632.157) -- 0:07:01
Average standard deviation of split frequencies: 0.005997
431000 -- (-1631.911) (-1649.987) (-1658.947) [-1638.323] * (-1647.154) (-1645.290) (-1638.035) [-1630.482] -- 0:06:59
432000 -- (-1632.652) [-1628.992] (-1649.244) (-1637.840) * (-1640.037) [-1623.461] (-1653.185) (-1641.609) -- 0:06:59
433000 -- (-1630.381) (-1642.861) [-1633.351] (-1644.226) * (-1634.642) [-1628.126] (-1628.893) (-1627.067) -- 0:06:59
434000 -- (-1637.486) (-1641.482) [-1629.958] (-1648.945) * (-1643.802) (-1634.694) (-1645.917) [-1626.053] -- 0:06:58
435000 -- [-1633.914] (-1637.640) (-1633.969) (-1643.788) * (-1645.037) (-1637.107) (-1644.995) [-1629.056] -- 0:06:56
Average standard deviation of split frequencies: 0.006410
436000 -- (-1646.199) (-1640.350) [-1632.562] (-1651.517) * (-1641.233) (-1644.572) (-1643.904) [-1635.709] -- 0:06:56
437000 -- (-1651.705) [-1628.115] (-1655.505) (-1650.482) * (-1650.531) (-1644.615) (-1643.291) [-1633.643] -- 0:06:56
438000 -- (-1640.429) [-1643.126] (-1639.585) (-1625.646) * (-1633.662) [-1634.784] (-1638.113) (-1639.678) -- 0:06:55
439000 -- (-1655.325) [-1627.168] (-1634.952) (-1628.691) * (-1644.543) (-1642.501) (-1640.408) [-1628.312] -- 0:06:54
440000 -- (-1649.449) (-1632.752) (-1629.567) [-1638.706] * [-1633.043] (-1637.298) (-1637.518) (-1635.787) -- 0:06:53
Average standard deviation of split frequencies: 0.006388
441000 -- (-1650.098) (-1653.804) [-1631.658] (-1641.883) * [-1632.201] (-1643.223) (-1631.527) (-1634.383) -- 0:06:53
442000 -- (-1644.706) (-1656.993) [-1634.971] (-1635.232) * (-1630.223) [-1631.446] (-1630.937) (-1627.928) -- 0:06:52
443000 -- (-1654.849) [-1637.758] (-1632.709) (-1640.343) * (-1656.478) (-1641.447) (-1650.066) [-1635.693] -- 0:06:51
444000 -- (-1656.783) (-1635.330) [-1626.727] (-1643.489) * (-1641.935) [-1630.393] (-1663.933) (-1638.183) -- 0:06:50
445000 -- (-1657.741) [-1621.702] (-1627.360) (-1653.457) * (-1641.363) [-1637.512] (-1643.247) (-1640.109) -- 0:06:50
Average standard deviation of split frequencies: 0.006506
446000 -- (-1637.256) [-1636.216] (-1628.408) (-1650.590) * [-1637.275] (-1638.284) (-1636.958) (-1631.472) -- 0:06:49
447000 -- (-1645.455) (-1655.061) (-1650.659) [-1635.843] * (-1631.206) [-1636.356] (-1648.012) (-1647.551) -- 0:06:48
448000 -- [-1638.284] (-1638.700) (-1643.991) (-1650.592) * (-1642.662) (-1637.316) (-1640.610) [-1627.161] -- 0:06:47
449000 -- (-1645.140) (-1645.989) [-1630.462] (-1633.056) * (-1645.814) (-1630.100) [-1637.781] (-1643.419) -- 0:06:47
450000 -- (-1653.751) [-1639.572] (-1640.506) (-1647.958) * (-1641.397) (-1647.721) [-1619.107] (-1637.602) -- 0:06:47
Average standard deviation of split frequencies: 0.006468
451000 -- (-1642.136) (-1646.677) (-1634.616) [-1638.188] * (-1651.376) [-1633.182] (-1630.545) (-1637.790) -- 0:06:45
452000 -- (-1631.906) [-1633.114] (-1645.991) (-1640.815) * (-1651.489) [-1623.781] (-1630.280) (-1653.355) -- 0:06:44
453000 -- (-1633.595) (-1636.972) (-1661.674) [-1639.698] * (-1651.734) (-1637.221) [-1639.424] (-1653.502) -- 0:06:44
454000 -- (-1652.675) (-1642.837) (-1630.017) [-1635.198] * (-1651.521) (-1651.918) [-1628.003] (-1642.004) -- 0:06:44
455000 -- [-1620.332] (-1642.249) (-1655.725) (-1632.216) * (-1638.185) (-1634.911) [-1632.104] (-1639.054) -- 0:06:42
Average standard deviation of split frequencies: 0.006682
456000 -- (-1647.016) (-1641.279) [-1628.549] (-1636.501) * (-1643.200) (-1639.460) (-1642.613) [-1639.659] -- 0:06:42
457000 -- (-1637.249) (-1640.161) (-1636.370) [-1638.524] * (-1649.111) (-1644.161) [-1638.235] (-1636.489) -- 0:06:41
458000 -- (-1643.706) [-1627.192] (-1630.166) (-1641.454) * (-1621.786) (-1647.312) [-1638.151] (-1646.997) -- 0:06:41
459000 -- [-1627.809] (-1638.759) (-1627.776) (-1651.156) * (-1625.141) [-1623.701] (-1647.290) (-1647.437) -- 0:06:39
460000 -- (-1634.258) (-1636.406) [-1622.423] (-1645.995) * (-1640.597) (-1649.816) [-1629.521] (-1651.899) -- 0:06:39
Average standard deviation of split frequencies: 0.006511
461000 -- (-1633.952) [-1630.136] (-1642.851) (-1648.952) * (-1653.803) [-1636.837] (-1640.369) (-1649.444) -- 0:06:38
462000 -- (-1633.304) (-1634.988) [-1628.413] (-1643.135) * (-1659.028) [-1645.963] (-1633.492) (-1638.971) -- 0:06:38
463000 -- (-1646.019) (-1639.102) [-1642.736] (-1633.996) * (-1648.480) (-1637.593) [-1635.569] (-1628.626) -- 0:06:36
464000 -- (-1647.345) [-1641.785] (-1633.150) (-1642.165) * (-1646.707) (-1627.316) (-1641.943) [-1636.067] -- 0:06:36
465000 -- [-1632.798] (-1637.339) (-1644.642) (-1637.011) * (-1632.919) (-1634.265) (-1641.543) [-1640.030] -- 0:06:35
Average standard deviation of split frequencies: 0.006682
466000 -- (-1635.636) (-1640.724) (-1646.440) [-1639.788] * [-1630.716] (-1648.079) (-1644.483) (-1636.756) -- 0:06:35
467000 -- [-1642.515] (-1640.981) (-1644.448) (-1638.371) * (-1635.509) [-1638.173] (-1645.213) (-1631.805) -- 0:06:33
468000 -- (-1640.497) [-1631.655] (-1630.406) (-1645.064) * [-1630.786] (-1647.770) (-1635.171) (-1638.433) -- 0:06:33
469000 -- (-1652.453) (-1635.251) (-1634.537) [-1644.650] * (-1630.487) [-1635.979] (-1651.862) (-1636.532) -- 0:06:32
470000 -- (-1649.063) [-1623.696] (-1650.871) (-1634.196) * (-1643.188) (-1654.273) [-1630.076] (-1652.155) -- 0:06:32
Average standard deviation of split frequencies: 0.006610
471000 -- (-1648.549) [-1631.651] (-1641.900) (-1639.981) * [-1629.935] (-1650.683) (-1653.151) (-1633.654) -- 0:06:30
472000 -- (-1638.222) [-1631.597] (-1638.436) (-1635.015) * (-1646.294) [-1630.517] (-1645.720) (-1640.336) -- 0:06:30
473000 -- (-1650.899) (-1638.228) [-1637.857] (-1638.963) * (-1653.205) [-1635.272] (-1646.358) (-1628.433) -- 0:06:29
474000 -- (-1652.611) (-1634.719) (-1637.998) [-1637.129] * (-1650.409) (-1646.265) (-1640.687) [-1629.636] -- 0:06:29
475000 -- (-1628.736) (-1644.622) [-1631.831] (-1642.534) * (-1645.226) (-1641.420) (-1637.102) [-1642.952] -- 0:06:27
Average standard deviation of split frequencies: 0.006681
476000 -- [-1623.505] (-1625.913) (-1644.751) (-1635.845) * [-1633.274] (-1655.085) (-1631.228) (-1634.882) -- 0:06:27
477000 -- [-1625.574] (-1641.276) (-1654.603) (-1639.740) * (-1645.878) (-1655.569) [-1633.264] (-1632.129) -- 0:06:27
478000 -- (-1631.770) (-1631.945) (-1651.238) [-1641.641] * [-1639.139] (-1642.168) (-1634.162) (-1643.193) -- 0:06:26
479000 -- (-1630.961) (-1649.838) [-1646.886] (-1657.057) * (-1646.970) (-1638.816) (-1636.052) [-1636.301] -- 0:06:25
480000 -- (-1647.822) [-1634.831] (-1656.374) (-1635.908) * (-1635.499) [-1625.797] (-1646.525) (-1642.508) -- 0:06:24
Average standard deviation of split frequencies: 0.006496
481000 -- (-1634.455) [-1620.594] (-1635.654) (-1657.035) * [-1634.322] (-1634.674) (-1635.282) (-1636.744) -- 0:06:24
482000 -- [-1628.385] (-1641.860) (-1634.141) (-1645.261) * (-1632.224) (-1637.475) [-1630.097] (-1648.529) -- 0:06:22
483000 -- (-1645.401) (-1640.374) (-1631.463) [-1626.851] * (-1642.866) [-1637.595] (-1643.576) (-1645.354) -- 0:06:22
484000 -- (-1641.370) (-1630.373) [-1622.937] (-1634.379) * [-1638.025] (-1634.051) (-1633.055) (-1636.225) -- 0:06:21
485000 -- (-1644.652) (-1648.650) (-1636.671) [-1636.317] * (-1651.400) [-1625.798] (-1647.300) (-1631.594) -- 0:06:21
Average standard deviation of split frequencies: 0.006499
486000 -- (-1642.427) [-1627.313] (-1645.975) (-1628.856) * (-1640.711) [-1630.382] (-1633.695) (-1648.875) -- 0:06:19
487000 -- (-1645.674) (-1628.000) [-1632.407] (-1642.961) * (-1655.454) [-1637.087] (-1649.532) (-1632.914) -- 0:06:19
488000 -- (-1641.470) (-1633.606) [-1637.181] (-1642.583) * (-1624.435) (-1651.037) [-1643.064] (-1646.759) -- 0:06:18
489000 -- (-1640.086) [-1638.847] (-1635.129) (-1648.444) * (-1626.047) [-1631.855] (-1635.789) (-1639.019) -- 0:06:18
490000 -- [-1628.029] (-1648.231) (-1633.814) (-1653.136) * (-1636.069) [-1627.966] (-1635.679) (-1632.001) -- 0:06:16
Average standard deviation of split frequencies: 0.006561
491000 -- [-1629.815] (-1662.988) (-1635.072) (-1643.070) * (-1630.095) [-1629.704] (-1640.480) (-1641.167) -- 0:06:16
492000 -- [-1631.409] (-1643.907) (-1636.201) (-1638.314) * (-1649.753) [-1620.895] (-1641.395) (-1636.646) -- 0:06:15
493000 -- (-1646.283) (-1632.917) (-1649.883) [-1632.675] * [-1634.760] (-1641.945) (-1640.542) (-1647.860) -- 0:06:15
494000 -- (-1644.402) [-1628.018] (-1649.711) (-1633.890) * [-1636.326] (-1653.247) (-1625.937) (-1645.855) -- 0:06:13
495000 -- (-1653.727) [-1626.149] (-1636.870) (-1645.600) * [-1628.504] (-1643.502) (-1658.455) (-1635.432) -- 0:06:13
Average standard deviation of split frequencies: 0.006612
496000 -- (-1652.775) (-1636.047) (-1632.224) [-1635.256] * (-1651.907) (-1645.780) (-1654.706) [-1627.040] -- 0:06:12
497000 -- (-1659.095) (-1645.330) [-1629.450] (-1649.434) * (-1636.365) (-1639.342) (-1638.912) [-1631.744] -- 0:06:11
498000 -- (-1649.607) (-1636.648) [-1640.882] (-1645.855) * (-1646.466) (-1641.172) (-1653.165) [-1631.074] -- 0:06:10
499000 -- [-1639.728] (-1640.255) (-1635.711) (-1632.069) * (-1639.439) (-1643.639) (-1629.461) [-1630.993] -- 0:06:10
500000 -- (-1633.750) [-1630.014] (-1643.043) (-1649.052) * (-1637.296) (-1653.254) (-1645.041) [-1625.052] -- 0:06:10
Average standard deviation of split frequencies: 0.006779
501000 -- [-1629.151] (-1629.095) (-1647.818) (-1641.877) * (-1645.315) (-1644.293) (-1644.551) [-1629.975] -- 0:06:08
502000 -- (-1655.086) (-1640.983) [-1634.526] (-1637.020) * (-1636.459) (-1656.250) [-1630.747] (-1637.128) -- 0:06:08
503000 -- (-1650.320) (-1636.340) (-1642.616) [-1627.655] * (-1636.307) (-1654.738) (-1629.602) [-1635.942] -- 0:06:07
504000 -- (-1642.083) (-1637.386) (-1641.074) [-1632.523] * (-1647.695) (-1632.039) (-1631.736) [-1631.667] -- 0:06:07
505000 -- (-1639.467) (-1639.968) (-1631.520) [-1638.358] * (-1639.598) (-1635.531) (-1647.813) [-1628.713] -- 0:06:05
Average standard deviation of split frequencies: 0.006628
506000 -- (-1633.188) (-1645.270) [-1631.243] (-1649.301) * (-1639.719) [-1625.213] (-1638.579) (-1631.052) -- 0:06:05
507000 -- [-1630.244] (-1641.055) (-1630.903) (-1653.808) * (-1633.642) [-1630.914] (-1662.049) (-1635.659) -- 0:06:04
508000 -- (-1636.487) (-1646.565) (-1652.908) [-1635.641] * [-1622.427] (-1638.250) (-1634.801) (-1635.984) -- 0:06:04
509000 -- (-1637.707) (-1635.766) [-1638.663] (-1653.053) * [-1633.184] (-1638.409) (-1636.024) (-1638.605) -- 0:06:02
510000 -- (-1643.549) (-1638.063) (-1635.587) [-1636.223] * (-1642.320) (-1639.736) [-1644.896] (-1637.447) -- 0:06:02
Average standard deviation of split frequencies: 0.006592
511000 -- (-1640.508) (-1639.281) (-1631.229) [-1637.324] * [-1626.955] (-1629.669) (-1655.515) (-1633.311) -- 0:06:01
512000 -- (-1641.288) (-1628.494) [-1639.760] (-1638.102) * (-1627.450) [-1628.992] (-1641.418) (-1641.325) -- 0:06:00
513000 -- (-1652.691) [-1635.739] (-1635.268) (-1650.652) * [-1631.646] (-1633.397) (-1639.490) (-1654.322) -- 0:05:59
514000 -- [-1637.526] (-1643.988) (-1634.433) (-1638.911) * [-1629.412] (-1664.656) (-1636.663) (-1645.975) -- 0:05:59
515000 -- (-1642.307) (-1645.227) [-1632.316] (-1641.142) * (-1634.392) [-1631.291] (-1636.555) (-1657.790) -- 0:05:58
Average standard deviation of split frequencies: 0.006813
516000 -- (-1656.112) (-1629.414) [-1636.688] (-1635.362) * (-1647.126) (-1636.991) [-1635.083] (-1637.723) -- 0:05:57
517000 -- (-1643.751) [-1648.147] (-1640.764) (-1639.005) * (-1639.174) [-1643.832] (-1642.965) (-1653.782) -- 0:05:56
518000 -- (-1637.201) (-1632.578) [-1639.733] (-1652.251) * (-1638.929) (-1630.183) [-1642.072] (-1639.253) -- 0:05:56
519000 -- (-1646.069) [-1632.219] (-1639.047) (-1643.079) * (-1643.754) (-1637.176) [-1623.912] (-1640.609) -- 0:05:55
520000 -- (-1648.783) (-1630.725) (-1656.079) [-1632.308] * (-1638.792) [-1638.106] (-1632.955) (-1638.140) -- 0:05:54
Average standard deviation of split frequencies: 0.007073
521000 -- (-1643.247) [-1625.800] (-1662.882) (-1642.645) * (-1635.844) (-1636.185) [-1631.384] (-1654.204) -- 0:05:53
522000 -- (-1632.940) (-1638.806) [-1631.250] (-1653.574) * (-1636.871) (-1627.502) [-1627.191] (-1642.493) -- 0:05:53
523000 -- (-1636.388) (-1648.976) [-1626.757] (-1629.897) * (-1646.110) (-1640.215) (-1642.912) [-1638.132] -- 0:05:52
524000 -- (-1648.044) (-1637.038) (-1631.418) [-1639.802] * (-1632.688) (-1659.861) (-1644.241) [-1632.880] -- 0:05:51
525000 -- (-1646.361) [-1629.714] (-1642.339) (-1637.874) * [-1629.888] (-1654.852) (-1661.547) (-1643.427) -- 0:05:51
Average standard deviation of split frequencies: 0.007298
526000 -- [-1630.503] (-1640.602) (-1649.675) (-1638.636) * [-1630.352] (-1637.725) (-1651.914) (-1639.606) -- 0:05:50
527000 -- (-1642.600) [-1636.895] (-1652.840) (-1636.763) * (-1634.102) (-1652.041) [-1624.321] (-1641.806) -- 0:05:49
528000 -- (-1654.862) (-1643.024) [-1633.402] (-1646.314) * (-1640.243) [-1632.055] (-1643.634) (-1640.800) -- 0:05:48
529000 -- [-1631.119] (-1635.483) (-1627.151) (-1636.321) * [-1632.429] (-1646.914) (-1638.491) (-1650.071) -- 0:05:48
530000 -- (-1627.639) (-1628.621) (-1641.397) [-1636.390] * [-1633.703] (-1637.986) (-1638.009) (-1630.781) -- 0:05:47
Average standard deviation of split frequencies: 0.007416
531000 -- (-1644.363) [-1635.118] (-1643.891) (-1633.651) * (-1632.396) (-1647.582) [-1635.878] (-1633.344) -- 0:05:46
532000 -- [-1631.561] (-1634.529) (-1641.710) (-1635.466) * (-1623.261) [-1649.111] (-1646.057) (-1647.264) -- 0:05:45
533000 -- (-1624.631) (-1633.191) (-1643.850) [-1632.768] * [-1640.949] (-1631.107) (-1636.380) (-1646.389) -- 0:05:45
534000 -- (-1636.127) [-1635.023] (-1644.814) (-1632.173) * (-1644.074) (-1638.837) [-1630.599] (-1644.534) -- 0:05:44
535000 -- [-1630.138] (-1647.091) (-1637.751) (-1643.362) * (-1640.200) (-1646.699) [-1636.353] (-1644.699) -- 0:05:43
Average standard deviation of split frequencies: 0.007815
536000 -- (-1647.001) (-1639.456) [-1637.853] (-1623.348) * (-1629.214) [-1635.543] (-1638.398) (-1636.067) -- 0:05:42
537000 -- (-1648.008) (-1658.920) [-1631.379] (-1627.792) * (-1636.743) (-1624.462) [-1638.849] (-1643.305) -- 0:05:42
538000 -- [-1634.430] (-1647.601) (-1641.127) (-1653.768) * (-1637.498) [-1631.911] (-1638.330) (-1656.837) -- 0:05:40
539000 -- [-1630.462] (-1638.402) (-1657.759) (-1646.234) * [-1636.532] (-1644.118) (-1632.640) (-1640.972) -- 0:05:40
540000 -- [-1633.796] (-1653.161) (-1640.181) (-1650.115) * (-1638.699) (-1649.061) (-1642.490) [-1633.843] -- 0:05:39
Average standard deviation of split frequencies: 0.007959
541000 -- (-1636.332) (-1643.552) [-1636.444] (-1643.725) * [-1634.119] (-1636.351) (-1635.710) (-1645.298) -- 0:05:39
542000 -- (-1641.223) (-1645.610) (-1628.289) [-1621.810] * (-1638.322) [-1626.120] (-1643.859) (-1649.139) -- 0:05:38
543000 -- (-1657.044) (-1643.182) (-1634.694) [-1629.284] * [-1624.989] (-1640.616) (-1642.224) (-1636.610) -- 0:05:37
544000 -- (-1658.076) (-1645.594) (-1636.116) [-1637.510] * [-1636.968] (-1652.222) (-1642.161) (-1637.952) -- 0:05:36
545000 -- (-1632.492) (-1654.206) [-1632.521] (-1629.914) * (-1643.537) (-1641.594) (-1640.104) [-1626.340] -- 0:05:36
Average standard deviation of split frequencies: 0.008091
546000 -- (-1654.836) (-1646.197) [-1630.508] (-1636.555) * [-1636.635] (-1644.356) (-1635.344) (-1628.683) -- 0:05:35
547000 -- (-1647.577) (-1640.358) (-1640.501) [-1626.967] * [-1629.585] (-1642.772) (-1638.708) (-1627.469) -- 0:05:34
548000 -- (-1646.376) [-1629.968] (-1639.880) (-1629.402) * (-1648.547) [-1637.703] (-1642.749) (-1631.106) -- 0:05:34
549000 -- (-1642.182) (-1629.920) [-1631.394] (-1627.562) * (-1646.615) (-1626.589) (-1635.319) [-1626.619] -- 0:05:33
550000 -- (-1654.543) (-1631.057) [-1620.677] (-1639.329) * (-1648.697) [-1638.358] (-1641.556) (-1645.424) -- 0:05:32
Average standard deviation of split frequencies: 0.008377
551000 -- (-1634.598) (-1636.141) [-1627.670] (-1636.359) * (-1629.244) (-1646.756) (-1641.520) [-1628.100] -- 0:05:31
552000 -- (-1621.218) (-1644.828) (-1648.311) [-1628.344] * (-1634.564) (-1634.199) [-1626.110] (-1633.157) -- 0:05:31
553000 -- [-1633.012] (-1636.305) (-1644.898) (-1631.088) * (-1640.357) (-1631.434) [-1635.039] (-1631.428) -- 0:05:30
554000 -- (-1652.567) (-1649.111) [-1640.147] (-1642.296) * [-1645.088] (-1634.217) (-1642.153) (-1638.548) -- 0:05:29
555000 -- (-1645.031) (-1639.439) [-1639.458] (-1635.362) * (-1649.378) (-1630.594) (-1639.616) [-1640.714] -- 0:05:28
Average standard deviation of split frequencies: 0.008192
556000 -- (-1644.615) (-1636.032) [-1621.907] (-1643.960) * (-1654.078) (-1641.782) [-1637.887] (-1638.291) -- 0:05:28
557000 -- (-1634.764) [-1634.064] (-1636.221) (-1635.819) * (-1653.754) (-1626.936) [-1629.474] (-1641.339) -- 0:05:27
558000 -- (-1649.493) (-1644.932) (-1638.287) [-1626.560] * (-1640.219) (-1624.267) (-1629.971) [-1638.113] -- 0:05:26
559000 -- (-1639.407) (-1637.574) [-1636.430] (-1626.822) * (-1663.587) [-1641.527] (-1634.503) (-1636.762) -- 0:05:25
560000 -- (-1638.599) (-1631.447) [-1632.587] (-1627.271) * (-1647.460) (-1638.959) [-1636.263] (-1633.237) -- 0:05:25
Average standard deviation of split frequencies: 0.008313
561000 -- (-1648.903) [-1633.836] (-1633.425) (-1645.611) * (-1643.112) [-1636.426] (-1633.521) (-1653.634) -- 0:05:24
562000 -- (-1628.171) (-1638.345) (-1650.151) [-1638.333] * (-1632.817) (-1641.071) [-1631.620] (-1631.622) -- 0:05:23
563000 -- (-1640.283) [-1631.680] (-1656.990) (-1646.768) * [-1636.016] (-1649.238) (-1638.130) (-1638.616) -- 0:05:22
564000 -- [-1638.456] (-1649.716) (-1633.063) (-1645.689) * (-1644.170) (-1631.156) (-1635.971) [-1624.310] -- 0:05:22
565000 -- [-1632.883] (-1644.732) (-1638.365) (-1647.437) * (-1650.075) (-1631.138) (-1635.122) [-1641.118] -- 0:05:21
Average standard deviation of split frequencies: 0.008305
566000 -- (-1656.428) [-1630.637] (-1638.084) (-1658.217) * [-1632.376] (-1652.208) (-1635.232) (-1637.232) -- 0:05:20
567000 -- (-1637.366) (-1632.721) [-1626.230] (-1643.488) * (-1632.355) (-1638.753) [-1636.292] (-1644.553) -- 0:05:19
568000 -- (-1634.969) [-1640.243] (-1622.388) (-1648.136) * [-1641.754] (-1637.647) (-1633.597) (-1644.981) -- 0:05:19
569000 -- (-1638.310) [-1638.537] (-1652.213) (-1648.449) * [-1630.114] (-1640.654) (-1640.317) (-1631.994) -- 0:05:18
570000 -- [-1635.757] (-1646.188) (-1662.627) (-1644.936) * (-1631.071) (-1634.092) [-1635.650] (-1640.618) -- 0:05:17
Average standard deviation of split frequencies: 0.008284
571000 -- (-1647.895) [-1638.131] (-1644.402) (-1631.416) * (-1631.537) (-1632.128) (-1637.049) [-1630.909] -- 0:05:17
572000 -- (-1641.278) (-1641.373) [-1630.887] (-1628.700) * (-1634.591) (-1638.122) (-1630.269) [-1621.301] -- 0:05:16
573000 -- (-1638.133) (-1639.501) [-1639.512] (-1630.609) * [-1634.349] (-1624.370) (-1630.582) (-1643.715) -- 0:05:15
574000 -- (-1633.130) [-1632.499] (-1647.028) (-1642.517) * (-1649.074) (-1628.120) (-1647.499) [-1642.782] -- 0:05:14
575000 -- [-1629.094] (-1643.040) (-1641.495) (-1638.847) * (-1647.718) (-1627.477) [-1635.115] (-1630.321) -- 0:05:14
Average standard deviation of split frequencies: 0.008453
576000 -- (-1655.254) [-1634.306] (-1636.557) (-1654.266) * (-1639.916) (-1631.589) [-1628.775] (-1639.305) -- 0:05:13
577000 -- [-1627.367] (-1634.500) (-1639.091) (-1646.453) * (-1653.360) (-1630.993) (-1634.842) [-1631.323] -- 0:05:13
578000 -- [-1629.887] (-1654.604) (-1637.890) (-1639.088) * (-1649.449) (-1645.675) [-1635.407] (-1635.255) -- 0:05:11
579000 -- (-1634.320) [-1635.369] (-1648.266) (-1639.675) * (-1636.862) (-1631.507) [-1630.923] (-1642.250) -- 0:05:11
580000 -- [-1634.246] (-1643.549) (-1643.826) (-1635.797) * (-1637.186) (-1661.805) (-1621.817) [-1638.229] -- 0:05:10
Average standard deviation of split frequencies: 0.008690
581000 -- [-1626.793] (-1647.664) (-1640.098) (-1645.909) * (-1640.976) [-1635.546] (-1639.812) (-1640.392) -- 0:05:10
582000 -- [-1628.897] (-1648.428) (-1640.276) (-1634.657) * (-1651.766) [-1641.871] (-1633.189) (-1638.957) -- 0:05:08
583000 -- [-1636.533] (-1636.894) (-1639.830) (-1630.638) * (-1638.918) (-1636.426) [-1644.359] (-1662.015) -- 0:05:08
584000 -- (-1633.635) (-1636.003) (-1639.516) [-1621.412] * (-1644.708) [-1634.328] (-1634.879) (-1643.640) -- 0:05:07
585000 -- (-1642.216) (-1645.839) [-1639.613] (-1633.887) * (-1643.082) (-1650.243) [-1626.037] (-1644.526) -- 0:05:07
Average standard deviation of split frequencies: 0.008679
586000 -- [-1633.237] (-1639.834) (-1646.557) (-1622.176) * (-1658.581) (-1642.305) [-1627.598] (-1635.022) -- 0:05:05
587000 -- (-1640.104) (-1640.999) (-1634.018) [-1627.326] * (-1644.427) (-1629.651) (-1630.333) [-1633.627] -- 0:05:05
588000 -- (-1648.024) (-1639.189) (-1640.967) [-1644.721] * (-1628.254) (-1638.576) (-1625.642) [-1628.965] -- 0:05:04
589000 -- [-1626.831] (-1634.952) (-1648.361) (-1642.563) * (-1628.092) (-1656.040) [-1622.102] (-1640.347) -- 0:05:04
590000 -- (-1655.313) [-1646.864] (-1639.199) (-1630.832) * [-1627.482] (-1646.975) (-1632.124) (-1650.669) -- 0:05:02
Average standard deviation of split frequencies: 0.008318
591000 -- (-1653.733) [-1633.960] (-1638.239) (-1638.370) * (-1630.466) [-1630.156] (-1638.445) (-1628.654) -- 0:05:02
592000 -- (-1670.624) (-1636.338) (-1632.997) [-1637.370] * (-1627.574) (-1641.573) (-1642.793) [-1635.429] -- 0:05:01
593000 -- (-1651.054) (-1637.386) [-1636.493] (-1639.002) * [-1628.224] (-1637.833) (-1637.310) (-1634.238) -- 0:05:01
594000 -- (-1646.314) (-1640.621) [-1635.751] (-1637.845) * (-1635.030) (-1667.405) [-1631.579] (-1634.735) -- 0:05:00
595000 -- (-1641.586) (-1641.765) (-1629.924) [-1638.163] * [-1623.648] (-1637.857) (-1637.287) (-1642.092) -- 0:04:59
Average standard deviation of split frequencies: 0.008471
596000 -- (-1647.216) (-1640.813) [-1631.863] (-1657.747) * [-1624.301] (-1634.492) (-1650.044) (-1640.383) -- 0:04:58
597000 -- (-1630.219) (-1635.854) [-1628.000] (-1645.718) * (-1630.924) (-1641.250) [-1640.458] (-1645.020) -- 0:04:58
598000 -- (-1643.201) [-1635.541] (-1638.474) (-1656.873) * [-1640.091] (-1646.240) (-1643.593) (-1638.889) -- 0:04:57
599000 -- (-1646.150) (-1641.925) (-1636.791) [-1633.154] * [-1636.293] (-1644.355) (-1652.623) (-1641.787) -- 0:04:56
600000 -- (-1637.103) (-1628.169) (-1645.363) [-1629.057] * (-1642.119) (-1642.926) [-1640.903] (-1644.228) -- 0:04:56
Average standard deviation of split frequencies: 0.008420
601000 -- (-1657.904) (-1649.621) [-1629.940] (-1633.600) * (-1642.144) (-1652.873) [-1635.304] (-1644.457) -- 0:04:55
602000 -- (-1658.425) [-1628.356] (-1640.144) (-1636.532) * (-1640.030) [-1635.450] (-1639.021) (-1653.370) -- 0:04:54
603000 -- (-1641.891) [-1627.963] (-1642.562) (-1651.800) * (-1639.946) (-1635.235) (-1640.517) [-1629.028] -- 0:04:53
604000 -- [-1627.878] (-1633.180) (-1632.287) (-1639.159) * (-1645.789) (-1642.476) [-1633.367] (-1633.025) -- 0:04:53
605000 -- (-1643.176) (-1641.573) (-1639.617) [-1634.577] * [-1634.554] (-1645.279) (-1648.027) (-1637.312) -- 0:04:51
Average standard deviation of split frequencies: 0.008401
606000 -- (-1640.772) [-1636.420] (-1640.533) (-1631.106) * [-1628.583] (-1632.420) (-1638.271) (-1648.317) -- 0:04:51
607000 -- (-1635.760) [-1636.599] (-1648.531) (-1624.089) * (-1631.434) (-1628.813) (-1636.150) [-1627.090] -- 0:04:50
608000 -- (-1644.133) (-1645.426) (-1645.990) [-1625.515] * (-1642.544) (-1636.297) (-1643.227) [-1630.251] -- 0:04:50
609000 -- (-1647.240) (-1639.598) (-1641.107) [-1628.428] * [-1638.512] (-1632.381) (-1632.626) (-1632.640) -- 0:04:48
610000 -- (-1650.273) (-1638.299) [-1639.840] (-1624.282) * [-1633.915] (-1640.879) (-1644.766) (-1628.876) -- 0:04:48
Average standard deviation of split frequencies: 0.008172
611000 -- (-1635.239) (-1634.895) (-1643.056) [-1630.425] * (-1639.716) [-1634.772] (-1642.057) (-1650.466) -- 0:04:47
612000 -- (-1666.828) [-1632.956] (-1639.782) (-1646.699) * (-1643.725) [-1621.705] (-1641.407) (-1637.154) -- 0:04:47
613000 -- [-1636.526] (-1636.529) (-1626.207) (-1650.841) * [-1636.601] (-1653.891) (-1637.292) (-1649.079) -- 0:04:45
614000 -- [-1636.599] (-1642.919) (-1649.604) (-1643.151) * (-1638.075) (-1653.334) [-1637.722] (-1652.265) -- 0:04:45
615000 -- (-1658.532) (-1638.914) (-1649.651) [-1631.850] * (-1638.668) (-1640.080) [-1632.811] (-1649.220) -- 0:04:44
Average standard deviation of split frequencies: 0.008062
616000 -- (-1639.671) [-1629.832] (-1645.765) (-1637.836) * [-1637.950] (-1643.149) (-1633.708) (-1640.628) -- 0:04:44
617000 -- (-1636.391) [-1628.204] (-1641.417) (-1622.101) * (-1642.843) [-1628.732] (-1654.809) (-1631.931) -- 0:04:43
618000 -- (-1635.322) [-1635.562] (-1649.626) (-1637.546) * (-1642.854) [-1630.418] (-1666.223) (-1641.312) -- 0:04:42
619000 -- (-1641.300) (-1638.439) (-1655.352) [-1638.462] * (-1635.196) (-1637.900) (-1640.728) [-1632.896] -- 0:04:41
620000 -- (-1633.319) [-1637.112] (-1657.651) (-1643.870) * (-1636.723) (-1628.565) (-1638.350) [-1634.363] -- 0:04:41
Average standard deviation of split frequencies: 0.008012
621000 -- (-1643.275) [-1641.127] (-1639.879) (-1645.235) * (-1638.205) (-1642.678) (-1658.935) [-1628.256] -- 0:04:40
622000 -- (-1643.662) [-1626.554] (-1641.319) (-1626.716) * [-1631.596] (-1635.516) (-1646.992) (-1625.071) -- 0:04:39
623000 -- (-1649.865) (-1633.974) [-1626.667] (-1640.827) * [-1634.126] (-1626.858) (-1649.384) (-1634.950) -- 0:04:38
624000 -- (-1651.235) (-1631.403) [-1631.167] (-1629.611) * (-1640.172) [-1629.972] (-1658.864) (-1631.927) -- 0:04:37
625000 -- (-1635.078) [-1636.647] (-1648.384) (-1655.932) * (-1629.071) [-1635.326] (-1653.383) (-1646.311) -- 0:04:37
Average standard deviation of split frequencies: 0.007912
626000 -- [-1630.298] (-1642.258) (-1651.323) (-1647.782) * [-1639.476] (-1628.986) (-1636.407) (-1648.051) -- 0:04:36
627000 -- (-1638.856) [-1639.495] (-1640.171) (-1642.997) * (-1655.100) (-1628.152) (-1637.730) [-1629.181] -- 0:04:36
628000 -- [-1631.917] (-1644.319) (-1634.020) (-1640.946) * (-1642.429) (-1646.545) [-1623.757] (-1653.106) -- 0:04:34
629000 -- (-1635.888) [-1631.424] (-1631.447) (-1634.253) * (-1626.421) [-1622.533] (-1642.928) (-1658.005) -- 0:04:34
630000 -- (-1632.437) [-1630.318] (-1646.097) (-1632.030) * (-1639.457) (-1629.231) [-1631.804] (-1659.788) -- 0:04:33
Average standard deviation of split frequencies: 0.007791
631000 -- (-1656.789) (-1639.481) [-1638.674] (-1635.064) * (-1630.255) [-1631.385] (-1629.660) (-1658.212) -- 0:04:33
632000 -- (-1643.496) (-1662.601) (-1642.205) [-1630.644] * (-1639.418) (-1649.311) [-1632.440] (-1634.837) -- 0:04:31
633000 -- [-1629.523] (-1658.826) (-1649.399) (-1643.984) * (-1634.612) (-1641.059) [-1626.989] (-1637.274) -- 0:04:31
634000 -- (-1643.904) (-1643.414) (-1636.903) [-1640.136] * (-1626.685) (-1631.724) [-1637.101] (-1641.308) -- 0:04:30
635000 -- (-1633.297) (-1636.101) (-1633.915) [-1640.215] * (-1652.204) (-1625.813) [-1629.902] (-1629.104) -- 0:04:30
Average standard deviation of split frequencies: 0.007579
636000 -- (-1623.076) (-1644.652) [-1629.494] (-1644.387) * (-1654.337) [-1634.741] (-1627.863) (-1649.772) -- 0:04:28
637000 -- (-1634.180) (-1647.236) (-1632.479) [-1642.761] * (-1642.538) (-1639.318) [-1625.605] (-1648.467) -- 0:04:28
638000 -- (-1625.317) (-1647.112) (-1647.571) [-1639.761] * [-1636.203] (-1646.222) (-1642.487) (-1644.570) -- 0:04:27
639000 -- [-1621.721] (-1650.029) (-1633.256) (-1642.539) * [-1637.596] (-1639.291) (-1632.480) (-1651.153) -- 0:04:26
640000 -- (-1638.624) (-1656.021) [-1635.261] (-1647.683) * (-1632.896) (-1650.928) (-1647.076) [-1633.160] -- 0:04:26
Average standard deviation of split frequencies: 0.007358
641000 -- [-1637.332] (-1650.213) (-1651.335) (-1656.154) * (-1641.534) (-1640.249) [-1640.169] (-1630.232) -- 0:04:25
642000 -- (-1643.366) (-1647.436) [-1628.894] (-1634.337) * (-1638.732) (-1632.027) (-1643.946) [-1645.539] -- 0:04:24
643000 -- (-1644.675) (-1644.410) (-1641.425) [-1637.312] * [-1634.742] (-1630.339) (-1640.045) (-1640.310) -- 0:04:23
644000 -- (-1638.358) (-1636.509) (-1647.027) [-1635.115] * (-1631.441) [-1633.817] (-1644.725) (-1637.058) -- 0:04:23
645000 -- (-1640.943) (-1638.976) [-1630.477] (-1646.426) * [-1631.715] (-1626.999) (-1627.045) (-1634.962) -- 0:04:22
Average standard deviation of split frequencies: 0.007421
646000 -- (-1632.241) (-1647.982) [-1635.691] (-1644.472) * (-1652.843) (-1632.551) [-1636.228] (-1636.294) -- 0:04:21
647000 -- [-1639.126] (-1637.376) (-1639.994) (-1636.032) * [-1633.641] (-1635.321) (-1648.739) (-1638.853) -- 0:04:20
648000 -- [-1632.350] (-1646.794) (-1648.178) (-1638.862) * (-1669.885) (-1628.144) [-1640.216] (-1626.265) -- 0:04:20
649000 -- [-1629.575] (-1646.786) (-1640.693) (-1645.786) * (-1645.363) (-1623.246) [-1638.307] (-1643.140) -- 0:04:19
650000 -- [-1632.949] (-1639.959) (-1635.141) (-1653.524) * (-1649.010) [-1629.657] (-1641.499) (-1651.510) -- 0:04:19
Average standard deviation of split frequencies: 0.007347
651000 -- (-1637.930) (-1635.478) [-1628.878] (-1647.125) * (-1644.578) (-1634.038) (-1632.005) [-1634.195] -- 0:04:17
652000 -- (-1647.095) [-1633.209] (-1637.099) (-1641.085) * (-1631.508) [-1631.240] (-1635.874) (-1641.895) -- 0:04:17
653000 -- (-1643.074) (-1642.110) [-1626.582] (-1639.652) * [-1638.944] (-1638.177) (-1637.402) (-1659.998) -- 0:04:16
654000 -- (-1639.686) (-1645.629) [-1625.983] (-1646.123) * (-1641.821) (-1638.041) (-1650.435) [-1633.213] -- 0:04:16
655000 -- (-1640.565) (-1650.857) [-1627.379] (-1647.912) * (-1638.077) (-1646.598) (-1645.395) [-1630.164] -- 0:04:14
Average standard deviation of split frequencies: 0.007277
656000 -- [-1632.667] (-1632.453) (-1658.644) (-1636.281) * (-1633.796) (-1638.666) (-1625.948) [-1649.927] -- 0:04:14
657000 -- [-1637.644] (-1633.569) (-1637.747) (-1645.512) * [-1637.460] (-1637.383) (-1638.965) (-1635.779) -- 0:04:13
658000 -- (-1641.170) (-1651.600) [-1632.942] (-1657.030) * (-1632.802) (-1637.306) (-1646.530) [-1641.486] -- 0:04:13
659000 -- (-1660.919) [-1635.416] (-1638.974) (-1642.041) * (-1638.339) (-1638.600) (-1643.899) [-1634.636] -- 0:04:11
660000 -- (-1651.748) [-1633.560] (-1648.569) (-1638.544) * (-1649.514) (-1629.763) (-1655.767) [-1638.466] -- 0:04:11
Average standard deviation of split frequencies: 0.007608
661000 -- (-1645.827) [-1628.632] (-1642.998) (-1641.573) * (-1638.929) [-1638.960] (-1647.726) (-1639.747) -- 0:04:10
662000 -- (-1638.585) (-1638.520) [-1631.338] (-1630.969) * (-1649.333) [-1632.419] (-1642.306) (-1652.427) -- 0:04:10
663000 -- [-1628.576] (-1633.364) (-1632.739) (-1654.357) * (-1629.638) (-1644.063) [-1639.634] (-1650.032) -- 0:04:09
664000 -- [-1624.256] (-1641.974) (-1635.029) (-1666.680) * (-1621.438) (-1645.434) (-1636.849) [-1639.479] -- 0:04:08
665000 -- (-1633.357) (-1640.881) [-1626.412] (-1639.108) * (-1628.680) (-1641.613) (-1636.700) [-1637.074] -- 0:04:07
Average standard deviation of split frequencies: 0.007666
666000 -- (-1627.564) (-1648.404) [-1631.105] (-1636.041) * (-1633.002) (-1640.492) (-1643.288) [-1625.704] -- 0:04:06
667000 -- [-1631.119] (-1645.782) (-1646.169) (-1648.637) * (-1643.657) [-1637.518] (-1651.224) (-1645.810) -- 0:04:06
668000 -- (-1651.243) (-1633.681) (-1652.022) [-1626.684] * (-1632.188) [-1629.571] (-1643.522) (-1631.463) -- 0:04:05
669000 -- (-1642.900) [-1640.305] (-1643.726) (-1651.663) * (-1640.119) (-1642.967) [-1623.897] (-1637.289) -- 0:04:04
670000 -- (-1647.141) (-1637.274) (-1646.829) [-1635.122] * (-1631.952) (-1646.370) [-1623.878] (-1629.283) -- 0:04:03
Average standard deviation of split frequencies: 0.007494
671000 -- (-1646.682) [-1633.659] (-1656.558) (-1635.933) * [-1623.122] (-1632.005) (-1629.113) (-1628.270) -- 0:04:03
672000 -- [-1638.597] (-1636.898) (-1633.795) (-1649.927) * (-1640.482) [-1635.477] (-1643.023) (-1635.418) -- 0:04:02
673000 -- (-1639.761) [-1641.539] (-1649.229) (-1635.998) * (-1643.242) [-1628.929] (-1648.213) (-1636.301) -- 0:04:01
674000 -- (-1630.480) (-1642.397) [-1634.605] (-1635.583) * (-1646.125) [-1628.166] (-1641.485) (-1655.726) -- 0:04:00
675000 -- (-1641.575) [-1637.887] (-1649.736) (-1624.524) * (-1631.283) [-1641.387] (-1659.208) (-1651.043) -- 0:04:00
Average standard deviation of split frequencies: 0.007543
676000 -- (-1631.828) [-1644.008] (-1647.413) (-1627.826) * (-1664.120) (-1636.567) (-1659.191) [-1631.333] -- 0:03:59
677000 -- (-1636.722) [-1637.339] (-1627.702) (-1629.215) * (-1646.089) (-1642.325) [-1644.088] (-1658.084) -- 0:03:59
678000 -- (-1637.264) (-1634.348) [-1627.374] (-1662.494) * (-1642.130) [-1624.224] (-1655.972) (-1653.012) -- 0:03:58
679000 -- (-1656.118) (-1642.802) (-1642.045) [-1637.999] * (-1644.899) [-1640.374] (-1640.995) (-1641.214) -- 0:03:57
680000 -- [-1630.022] (-1639.036) (-1640.207) (-1651.048) * [-1639.867] (-1655.869) (-1637.874) (-1640.020) -- 0:03:56
Average standard deviation of split frequencies: 0.007433
681000 -- [-1640.071] (-1647.840) (-1647.922) (-1639.374) * (-1635.845) (-1636.103) [-1629.255] (-1643.448) -- 0:03:56
682000 -- (-1627.944) [-1642.087] (-1638.674) (-1652.151) * [-1635.507] (-1639.711) (-1625.959) (-1648.849) -- 0:03:55
683000 -- [-1642.202] (-1637.546) (-1635.495) (-1636.699) * (-1631.811) (-1649.326) [-1633.754] (-1632.694) -- 0:03:54
684000 -- (-1645.453) (-1653.122) [-1635.951] (-1663.444) * (-1638.992) [-1635.331] (-1629.169) (-1639.751) -- 0:03:53
685000 -- (-1635.923) (-1634.525) [-1632.531] (-1639.872) * (-1623.254) (-1635.439) [-1632.953] (-1642.146) -- 0:03:53
Average standard deviation of split frequencies: 0.007491
686000 -- (-1638.053) (-1629.146) [-1630.008] (-1660.201) * (-1638.997) [-1629.385] (-1649.510) (-1639.171) -- 0:03:52
687000 -- [-1631.639] (-1643.382) (-1626.142) (-1643.993) * (-1631.386) [-1627.852] (-1646.470) (-1635.126) -- 0:03:51
688000 -- (-1635.621) (-1644.848) [-1621.862] (-1649.673) * (-1649.050) (-1638.853) (-1632.342) [-1632.424] -- 0:03:50
689000 -- [-1623.834] (-1655.166) (-1635.257) (-1648.915) * (-1635.518) (-1649.609) (-1643.378) [-1636.097] -- 0:03:50
690000 -- [-1631.813] (-1651.615) (-1628.535) (-1653.277) * (-1636.714) (-1631.616) (-1647.701) [-1628.040] -- 0:03:49
Average standard deviation of split frequencies: 0.007352
691000 -- [-1635.581] (-1650.740) (-1631.042) (-1649.857) * (-1649.332) (-1653.393) (-1639.439) [-1642.908] -- 0:03:48
692000 -- [-1630.510] (-1647.122) (-1639.773) (-1646.720) * (-1651.517) (-1636.187) [-1631.671] (-1632.058) -- 0:03:47
693000 -- (-1635.688) [-1638.693] (-1641.386) (-1648.962) * [-1623.392] (-1635.917) (-1651.840) (-1634.875) -- 0:03:47
694000 -- (-1632.667) [-1643.432] (-1661.634) (-1645.942) * (-1631.076) (-1650.778) (-1645.577) [-1624.810] -- 0:03:46
695000 -- [-1622.985] (-1636.263) (-1646.518) (-1640.974) * [-1630.067] (-1642.466) (-1660.431) (-1632.824) -- 0:03:45
Average standard deviation of split frequencies: 0.007354
696000 -- (-1634.449) [-1625.305] (-1638.461) (-1627.557) * (-1626.039) (-1636.185) (-1653.651) [-1635.896] -- 0:03:44
697000 -- (-1643.530) (-1627.934) [-1629.803] (-1635.131) * (-1638.482) [-1631.390] (-1638.031) (-1640.992) -- 0:03:44
698000 -- (-1654.497) (-1639.545) (-1675.172) [-1626.172] * (-1647.615) (-1638.478) (-1652.600) [-1622.344] -- 0:03:43
699000 -- (-1630.688) (-1642.336) (-1653.644) [-1621.394] * (-1654.732) [-1623.716] (-1641.755) (-1637.587) -- 0:03:42
700000 -- (-1634.192) [-1633.653] (-1656.843) (-1646.740) * (-1641.058) (-1645.639) (-1634.532) [-1629.840] -- 0:03:42
Average standard deviation of split frequencies: 0.007343
701000 -- [-1644.260] (-1630.873) (-1643.833) (-1645.069) * (-1646.353) [-1633.601] (-1640.164) (-1637.269) -- 0:03:41
702000 -- [-1633.557] (-1638.729) (-1639.837) (-1642.528) * (-1645.246) [-1636.338] (-1634.823) (-1640.831) -- 0:03:40
703000 -- [-1635.603] (-1646.489) (-1628.540) (-1640.356) * (-1649.431) (-1648.580) [-1632.601] (-1631.877) -- 0:03:39
704000 -- (-1636.642) (-1648.303) (-1646.057) [-1631.960] * (-1630.695) (-1640.982) [-1633.417] (-1635.465) -- 0:03:39
705000 -- (-1638.071) [-1628.222] (-1632.362) (-1636.459) * (-1664.255) [-1628.515] (-1645.794) (-1636.015) -- 0:03:38
Average standard deviation of split frequencies: 0.006982
706000 -- [-1637.992] (-1645.828) (-1650.507) (-1625.187) * (-1632.580) (-1636.123) [-1629.753] (-1640.812) -- 0:03:37
707000 -- (-1638.602) (-1637.583) (-1629.097) [-1631.905] * [-1644.215] (-1642.358) (-1629.262) (-1639.627) -- 0:03:36
708000 -- (-1635.894) (-1633.585) (-1651.565) [-1635.265] * [-1647.218] (-1628.790) (-1633.013) (-1660.934) -- 0:03:36
709000 -- (-1643.324) (-1644.531) [-1634.382] (-1638.331) * (-1631.402) (-1636.683) (-1643.049) [-1631.230] -- 0:03:35
710000 -- (-1643.144) [-1638.400] (-1633.251) (-1628.796) * (-1632.306) (-1658.412) (-1644.406) [-1634.028] -- 0:03:34
Average standard deviation of split frequencies: 0.007012
711000 -- (-1639.063) (-1627.067) [-1638.733] (-1630.358) * (-1632.971) (-1634.205) [-1634.533] (-1641.337) -- 0:03:33
712000 -- [-1633.736] (-1648.916) (-1622.397) (-1640.340) * (-1641.146) (-1631.141) [-1627.527] (-1644.609) -- 0:03:33
713000 -- (-1636.833) (-1644.354) [-1632.259] (-1647.961) * (-1644.847) (-1623.398) [-1631.329] (-1636.831) -- 0:03:32
714000 -- (-1645.726) [-1632.815] (-1634.464) (-1638.547) * (-1655.338) (-1639.774) [-1633.888] (-1646.120) -- 0:03:31
715000 -- (-1638.059) (-1659.924) (-1628.588) [-1626.947] * (-1642.073) [-1630.428] (-1648.382) (-1653.402) -- 0:03:30
Average standard deviation of split frequencies: 0.006988
716000 -- (-1635.112) (-1633.928) (-1660.302) [-1639.464] * (-1651.487) [-1627.852] (-1632.175) (-1650.423) -- 0:03:30
717000 -- [-1632.735] (-1640.066) (-1645.135) (-1629.015) * (-1625.712) [-1627.530] (-1631.437) (-1651.244) -- 0:03:29
718000 -- (-1631.181) [-1642.508] (-1631.844) (-1663.819) * (-1630.582) (-1633.559) (-1630.671) [-1635.288] -- 0:03:28
719000 -- (-1638.288) (-1636.260) [-1634.284] (-1655.311) * (-1635.151) (-1640.431) (-1661.933) [-1633.604] -- 0:03:27
720000 -- (-1634.561) [-1630.495] (-1625.529) (-1657.102) * (-1643.031) (-1656.513) [-1631.549] (-1628.490) -- 0:03:27
Average standard deviation of split frequencies: 0.007139
721000 -- (-1655.233) [-1623.747] (-1647.418) (-1645.630) * [-1639.003] (-1661.433) (-1630.202) (-1628.776) -- 0:03:26
722000 -- (-1648.573) [-1633.241] (-1645.975) (-1634.374) * (-1627.595) (-1643.060) (-1654.155) [-1626.928] -- 0:03:25
723000 -- (-1639.929) [-1632.756] (-1645.035) (-1640.632) * (-1650.880) [-1633.350] (-1638.032) (-1637.722) -- 0:03:24
724000 -- (-1643.829) [-1632.798] (-1634.296) (-1646.865) * (-1634.845) [-1632.680] (-1633.729) (-1639.514) -- 0:03:24
725000 -- (-1635.190) [-1638.143] (-1635.218) (-1639.714) * (-1628.485) (-1647.470) (-1631.700) [-1627.602] -- 0:03:23
Average standard deviation of split frequencies: 0.007152
726000 -- [-1631.651] (-1648.751) (-1648.382) (-1642.785) * (-1643.481) (-1632.369) [-1629.773] (-1626.816) -- 0:03:22
727000 -- (-1652.779) (-1657.820) [-1635.958] (-1628.177) * (-1637.847) (-1634.276) [-1632.197] (-1639.639) -- 0:03:22
728000 -- (-1630.039) [-1627.002] (-1633.673) (-1637.407) * (-1653.812) (-1641.080) (-1641.478) [-1639.628] -- 0:03:21
729000 -- (-1630.833) (-1642.528) [-1627.567] (-1633.380) * [-1648.558] (-1632.613) (-1654.407) (-1632.656) -- 0:03:20
730000 -- (-1649.669) [-1629.447] (-1650.380) (-1636.756) * (-1639.970) [-1630.146] (-1655.962) (-1632.276) -- 0:03:19
Average standard deviation of split frequencies: 0.007171
731000 -- (-1633.322) (-1642.182) (-1640.786) [-1631.091] * (-1643.499) (-1635.079) (-1635.673) [-1633.854] -- 0:03:19
732000 -- (-1629.767) (-1643.286) (-1653.919) [-1640.670] * [-1633.080] (-1637.401) (-1632.774) (-1650.269) -- 0:03:18
733000 -- (-1630.125) (-1643.555) [-1638.936] (-1665.643) * [-1628.205] (-1649.402) (-1639.137) (-1640.756) -- 0:03:17
734000 -- (-1628.922) (-1640.841) [-1625.407] (-1650.753) * (-1642.520) (-1641.155) (-1631.198) [-1641.675] -- 0:03:16
735000 -- (-1641.289) (-1640.558) (-1637.376) [-1633.628] * (-1648.796) (-1631.550) [-1644.221] (-1649.723) -- 0:03:16
Average standard deviation of split frequencies: 0.007164
736000 -- (-1632.764) [-1638.937] (-1629.830) (-1646.300) * (-1643.434) [-1631.310] (-1644.838) (-1636.947) -- 0:03:15
737000 -- (-1628.063) (-1635.185) [-1631.289] (-1640.892) * (-1645.682) (-1634.812) [-1627.575] (-1656.497) -- 0:03:14
738000 -- (-1632.595) (-1644.736) (-1647.196) [-1638.214] * [-1626.072] (-1642.952) (-1648.701) (-1651.488) -- 0:03:13
739000 -- (-1648.104) (-1630.719) (-1644.446) [-1632.749] * [-1629.830] (-1647.010) (-1649.266) (-1639.294) -- 0:03:13
740000 -- (-1643.577) [-1637.616] (-1645.723) (-1650.256) * (-1649.059) [-1638.268] (-1650.187) (-1625.807) -- 0:03:12
Average standard deviation of split frequencies: 0.007319
741000 -- (-1672.469) [-1633.256] (-1640.685) (-1647.382) * [-1622.008] (-1665.441) (-1634.468) (-1633.809) -- 0:03:11
742000 -- (-1659.832) (-1630.247) [-1626.985] (-1630.051) * (-1651.577) [-1656.045] (-1629.268) (-1644.439) -- 0:03:10
743000 -- (-1635.640) (-1638.694) [-1633.434] (-1628.338) * (-1635.126) (-1651.335) (-1632.423) [-1639.178] -- 0:03:10
744000 -- (-1639.938) (-1638.708) (-1632.546) [-1635.072] * (-1639.493) (-1639.698) [-1632.117] (-1651.155) -- 0:03:09
745000 -- [-1626.471] (-1643.377) (-1644.208) (-1639.377) * (-1646.246) [-1642.762] (-1644.352) (-1653.546) -- 0:03:08
Average standard deviation of split frequencies: 0.007213
746000 -- (-1625.600) [-1631.759] (-1648.482) (-1631.538) * (-1633.714) (-1631.478) [-1645.738] (-1636.722) -- 0:03:07
747000 -- (-1645.629) [-1634.971] (-1648.627) (-1639.355) * (-1649.278) [-1624.142] (-1652.215) (-1641.202) -- 0:03:07
748000 -- (-1651.124) (-1645.822) [-1648.658] (-1624.430) * (-1641.209) (-1641.831) (-1638.076) [-1634.652] -- 0:03:06
749000 -- (-1632.989) (-1640.497) (-1632.231) [-1630.799] * (-1639.625) (-1652.913) (-1632.873) [-1623.423] -- 0:03:05
750000 -- (-1640.531) (-1652.006) [-1628.591] (-1640.299) * (-1627.860) [-1633.238] (-1643.813) (-1639.496) -- 0:03:05
Average standard deviation of split frequencies: 0.007078
751000 -- (-1640.091) (-1659.872) [-1625.228] (-1637.348) * [-1625.850] (-1633.497) (-1640.548) (-1643.846) -- 0:03:04
752000 -- (-1634.691) (-1649.526) (-1636.683) [-1626.262] * (-1647.146) [-1636.211] (-1639.768) (-1628.983) -- 0:03:03
753000 -- (-1651.671) (-1647.374) [-1634.533] (-1637.612) * (-1648.986) (-1629.712) [-1631.955] (-1632.210) -- 0:03:02
754000 -- (-1650.273) (-1641.634) (-1638.999) [-1647.084] * (-1647.885) [-1637.474] (-1647.712) (-1646.335) -- 0:03:02
755000 -- (-1635.080) [-1622.486] (-1652.543) (-1646.623) * (-1637.230) (-1655.593) (-1648.290) [-1634.552] -- 0:03:01
Average standard deviation of split frequencies: 0.006930
756000 -- (-1645.203) (-1638.518) [-1627.961] (-1635.648) * (-1642.307) [-1628.858] (-1650.649) (-1626.763) -- 0:03:00
757000 -- [-1636.464] (-1631.005) (-1626.954) (-1637.049) * (-1641.209) (-1644.678) (-1640.473) [-1627.488] -- 0:02:59
758000 -- (-1628.341) (-1632.409) (-1647.502) [-1623.902] * (-1649.595) [-1641.464] (-1644.525) (-1647.126) -- 0:02:59
759000 -- (-1647.321) (-1629.498) (-1640.823) [-1632.967] * (-1642.719) (-1643.815) (-1631.541) [-1634.548] -- 0:02:58
760000 -- (-1670.986) (-1645.594) [-1641.361] (-1635.692) * (-1637.154) (-1641.737) [-1630.236] (-1633.313) -- 0:02:57
Average standard deviation of split frequencies: 0.007012
761000 -- (-1646.551) (-1641.136) [-1627.554] (-1641.647) * (-1633.702) (-1655.877) (-1624.342) [-1649.036] -- 0:02:56
762000 -- (-1632.547) (-1645.999) (-1634.225) [-1635.834] * (-1645.034) (-1655.639) [-1627.340] (-1634.768) -- 0:02:56
763000 -- (-1631.274) (-1631.055) (-1646.080) [-1630.375] * (-1626.157) (-1646.023) [-1635.653] (-1641.738) -- 0:02:55
764000 -- (-1652.931) (-1633.643) [-1640.830] (-1633.951) * (-1629.505) (-1628.533) (-1637.980) [-1625.394] -- 0:02:54
765000 -- (-1649.525) (-1649.010) (-1634.547) [-1634.508] * (-1636.660) (-1647.925) (-1639.617) [-1631.024] -- 0:02:53
Average standard deviation of split frequencies: 0.006910
766000 -- (-1647.098) (-1663.805) [-1632.114] (-1629.730) * (-1628.722) (-1637.929) [-1628.468] (-1646.710) -- 0:02:53
767000 -- (-1660.314) (-1657.259) (-1635.888) [-1630.698] * [-1627.756] (-1653.688) (-1628.289) (-1665.242) -- 0:02:52
768000 -- (-1634.428) (-1639.385) [-1627.192] (-1643.050) * (-1643.202) (-1640.594) [-1622.233] (-1640.915) -- 0:02:51
769000 -- [-1632.298] (-1640.075) (-1633.068) (-1653.473) * (-1647.791) [-1650.016] (-1628.251) (-1667.081) -- 0:02:50
770000 -- (-1642.829) (-1639.034) [-1623.536] (-1633.723) * (-1633.281) (-1640.599) [-1638.671] (-1631.593) -- 0:02:50
Average standard deviation of split frequencies: 0.006868
771000 -- (-1650.483) (-1629.280) (-1643.704) [-1631.088] * (-1638.770) [-1635.414] (-1631.227) (-1638.559) -- 0:02:49
772000 -- (-1652.545) [-1628.959] (-1636.741) (-1638.674) * [-1640.625] (-1643.240) (-1648.162) (-1636.825) -- 0:02:48
773000 -- (-1646.151) [-1631.964] (-1644.135) (-1651.138) * (-1626.829) [-1644.069] (-1634.786) (-1654.567) -- 0:02:47
774000 -- (-1639.040) (-1626.096) (-1638.930) [-1630.320] * (-1628.941) (-1640.583) [-1634.248] (-1646.908) -- 0:02:47
775000 -- (-1648.816) [-1629.143] (-1625.873) (-1644.315) * [-1642.133] (-1655.888) (-1639.758) (-1642.622) -- 0:02:46
Average standard deviation of split frequencies: 0.006804
776000 -- (-1641.659) [-1630.216] (-1630.748) (-1638.256) * [-1627.962] (-1641.542) (-1642.956) (-1637.718) -- 0:02:45
777000 -- (-1645.391) [-1631.346] (-1653.847) (-1631.192) * (-1634.563) (-1638.069) [-1629.113] (-1641.423) -- 0:02:45
778000 -- (-1660.595) (-1628.005) (-1639.099) [-1626.492] * (-1635.479) (-1640.904) [-1635.330] (-1640.945) -- 0:02:44
779000 -- (-1638.710) (-1639.376) [-1631.288] (-1639.376) * [-1635.720] (-1644.364) (-1639.189) (-1632.237) -- 0:02:43
780000 -- (-1644.728) (-1639.545) [-1638.846] (-1640.334) * (-1646.067) [-1638.963] (-1636.807) (-1650.526) -- 0:02:42
Average standard deviation of split frequencies: 0.006754
781000 -- (-1624.010) (-1636.685) [-1631.384] (-1646.837) * (-1648.887) (-1638.322) [-1633.652] (-1634.969) -- 0:02:42
782000 -- (-1631.447) (-1645.486) [-1629.745] (-1647.729) * (-1660.443) (-1652.517) [-1626.327] (-1636.343) -- 0:02:41
783000 -- (-1642.958) (-1636.480) (-1628.665) [-1634.036] * (-1639.677) (-1641.947) [-1636.598] (-1651.758) -- 0:02:40
784000 -- (-1648.464) (-1660.912) (-1646.309) [-1633.123] * (-1636.104) (-1638.534) [-1633.890] (-1648.050) -- 0:02:39
785000 -- (-1642.737) (-1653.999) [-1623.263] (-1646.777) * [-1651.834] (-1630.317) (-1637.133) (-1647.496) -- 0:02:39
Average standard deviation of split frequencies: 0.006657
786000 -- (-1646.968) [-1637.613] (-1629.519) (-1645.060) * [-1634.051] (-1624.775) (-1635.572) (-1648.537) -- 0:02:38
787000 -- (-1638.574) [-1630.827] (-1642.007) (-1655.627) * (-1640.275) (-1638.683) [-1635.868] (-1642.387) -- 0:02:37
788000 -- [-1631.754] (-1644.984) (-1643.481) (-1650.445) * (-1623.975) [-1634.817] (-1638.750) (-1641.976) -- 0:02:36
789000 -- [-1629.906] (-1636.649) (-1639.810) (-1633.209) * (-1635.488) (-1643.375) [-1627.585] (-1645.377) -- 0:02:36
790000 -- (-1632.274) (-1632.188) (-1627.630) [-1632.346] * (-1637.076) [-1638.833] (-1629.230) (-1642.379) -- 0:02:35
Average standard deviation of split frequencies: 0.006558
791000 -- (-1642.492) [-1631.893] (-1638.099) (-1645.809) * (-1629.360) (-1664.077) (-1636.233) [-1634.608] -- 0:02:34
792000 -- (-1650.724) [-1641.354] (-1634.660) (-1638.369) * (-1659.266) (-1638.440) [-1637.705] (-1631.565) -- 0:02:33
793000 -- (-1646.798) (-1642.255) (-1647.943) [-1638.342] * (-1648.531) (-1638.080) (-1642.614) [-1638.856] -- 0:02:33
794000 -- (-1651.304) (-1633.386) (-1653.855) [-1632.795] * (-1651.497) (-1638.815) (-1660.348) [-1627.055] -- 0:02:32
795000 -- (-1658.131) (-1640.330) (-1639.878) [-1631.848] * (-1644.455) (-1643.575) [-1635.460] (-1638.132) -- 0:02:31
Average standard deviation of split frequencies: 0.006717
796000 -- [-1632.534] (-1639.496) (-1648.849) (-1634.623) * (-1636.581) (-1646.504) (-1628.316) [-1627.923] -- 0:02:30
797000 -- [-1630.636] (-1631.507) (-1639.861) (-1646.637) * (-1644.073) (-1638.469) (-1631.436) [-1628.628] -- 0:02:30
798000 -- (-1650.186) (-1643.182) (-1643.697) [-1620.821] * [-1631.738] (-1642.023) (-1633.475) (-1649.494) -- 0:02:29
799000 -- (-1653.317) (-1646.000) (-1642.834) [-1630.245] * (-1643.478) (-1632.840) [-1640.740] (-1658.086) -- 0:02:28
800000 -- (-1629.318) (-1642.198) [-1632.999] (-1643.638) * (-1651.568) (-1637.610) (-1632.560) [-1640.278] -- 0:02:28
Average standard deviation of split frequencies: 0.006754
801000 -- (-1620.642) [-1629.169] (-1648.347) (-1635.845) * (-1649.671) (-1635.058) (-1638.871) [-1622.896] -- 0:02:27
802000 -- [-1636.493] (-1627.223) (-1637.323) (-1644.303) * (-1631.398) (-1647.748) (-1641.589) [-1624.254] -- 0:02:26
803000 -- (-1657.523) [-1633.871] (-1653.073) (-1643.664) * (-1628.465) (-1640.668) [-1622.982] (-1647.967) -- 0:02:25
804000 -- (-1660.643) (-1635.903) [-1633.720] (-1636.025) * (-1638.784) (-1632.447) (-1640.425) [-1639.203] -- 0:02:25
805000 -- [-1637.636] (-1646.713) (-1648.173) (-1647.129) * (-1649.254) [-1624.669] (-1641.490) (-1642.512) -- 0:02:24
Average standard deviation of split frequencies: 0.006584
806000 -- [-1635.091] (-1642.838) (-1646.019) (-1637.920) * [-1642.282] (-1640.586) (-1640.075) (-1653.858) -- 0:02:23
807000 -- [-1631.144] (-1643.071) (-1642.036) (-1635.165) * (-1633.950) (-1639.973) [-1627.332] (-1638.209) -- 0:02:22
808000 -- (-1644.337) (-1656.933) [-1628.266] (-1639.940) * [-1632.465] (-1647.227) (-1635.079) (-1635.187) -- 0:02:22
809000 -- (-1632.837) (-1657.012) [-1625.884] (-1647.502) * (-1640.167) (-1651.918) [-1628.775] (-1637.638) -- 0:02:21
810000 -- [-1625.652] (-1649.109) (-1642.758) (-1639.380) * (-1640.510) (-1636.768) [-1624.136] (-1643.853) -- 0:02:20
Average standard deviation of split frequencies: 0.006629
811000 -- (-1633.719) (-1633.510) (-1651.261) [-1638.191] * (-1644.898) (-1654.158) [-1633.045] (-1642.165) -- 0:02:19
812000 -- (-1640.866) (-1631.534) [-1627.572] (-1640.179) * [-1639.932] (-1642.220) (-1647.464) (-1640.490) -- 0:02:19
813000 -- (-1637.549) (-1636.428) [-1629.480] (-1636.362) * (-1644.047) (-1640.149) (-1656.017) [-1624.581] -- 0:02:18
814000 -- (-1636.600) [-1627.702] (-1631.700) (-1628.443) * (-1629.441) (-1651.156) (-1654.680) [-1625.191] -- 0:02:17
815000 -- (-1671.142) (-1654.927) (-1642.587) [-1647.645] * (-1638.318) (-1640.447) [-1635.016] (-1634.994) -- 0:02:16
Average standard deviation of split frequencies: 0.006503
816000 -- (-1634.337) (-1654.113) [-1629.555] (-1647.711) * (-1634.657) (-1658.840) [-1626.441] (-1643.402) -- 0:02:16
817000 -- [-1632.990] (-1647.765) (-1624.072) (-1633.645) * (-1633.532) (-1643.159) [-1628.195] (-1643.927) -- 0:02:15
818000 -- (-1644.027) (-1631.795) [-1637.532] (-1655.141) * (-1646.574) (-1651.358) [-1627.425] (-1644.701) -- 0:02:14
819000 -- [-1642.253] (-1632.338) (-1656.173) (-1634.974) * [-1640.173] (-1631.375) (-1648.856) (-1629.482) -- 0:02:13
820000 -- (-1633.791) (-1637.378) (-1666.440) [-1627.051] * (-1626.157) (-1638.631) [-1628.718] (-1639.236) -- 0:02:13
Average standard deviation of split frequencies: 0.006483
821000 -- (-1645.598) [-1638.170] (-1644.465) (-1645.498) * [-1630.845] (-1652.256) (-1631.806) (-1631.393) -- 0:02:12
822000 -- (-1628.230) (-1653.251) (-1648.546) [-1635.948] * (-1655.790) (-1648.857) (-1632.693) [-1628.979] -- 0:02:11
823000 -- (-1631.158) (-1657.699) [-1633.833] (-1628.374) * [-1638.712] (-1650.218) (-1638.127) (-1652.568) -- 0:02:10
824000 -- (-1647.792) (-1659.167) [-1630.597] (-1640.301) * (-1636.924) (-1648.049) (-1640.907) [-1631.655] -- 0:02:10
825000 -- (-1631.498) (-1647.186) (-1659.658) [-1634.696] * (-1635.003) (-1639.160) [-1636.647] (-1636.366) -- 0:02:09
Average standard deviation of split frequencies: 0.006457
826000 -- [-1628.497] (-1629.872) (-1636.777) (-1643.117) * [-1630.808] (-1669.563) (-1639.608) (-1630.912) -- 0:02:08
827000 -- (-1638.987) [-1626.587] (-1632.727) (-1636.602) * (-1625.725) (-1638.940) (-1647.581) [-1629.892] -- 0:02:08
828000 -- (-1630.531) (-1631.310) (-1631.719) [-1624.695] * (-1649.304) (-1639.528) (-1637.242) [-1638.591] -- 0:02:07
829000 -- (-1659.045) [-1628.653] (-1643.452) (-1631.917) * (-1660.750) (-1644.799) [-1634.994] (-1644.696) -- 0:02:06
830000 -- (-1637.709) [-1634.599] (-1643.699) (-1643.071) * (-1645.370) (-1646.308) [-1621.791] (-1641.128) -- 0:02:05
Average standard deviation of split frequencies: 0.006461
831000 -- (-1649.275) [-1642.577] (-1639.610) (-1644.011) * (-1650.111) (-1634.463) [-1632.658] (-1640.351) -- 0:02:05
832000 -- (-1651.842) [-1631.917] (-1639.513) (-1634.764) * (-1646.307) (-1641.548) [-1633.740] (-1649.801) -- 0:02:04
833000 -- (-1645.809) [-1637.242] (-1641.538) (-1636.955) * (-1643.781) [-1625.386] (-1645.140) (-1643.679) -- 0:02:03
834000 -- (-1637.880) [-1643.241] (-1643.773) (-1639.864) * (-1650.634) (-1639.651) [-1628.462] (-1648.844) -- 0:02:02
835000 -- [-1632.037] (-1635.064) (-1640.223) (-1648.416) * (-1635.686) (-1645.522) (-1643.239) [-1639.921] -- 0:02:02
Average standard deviation of split frequencies: 0.006332
836000 -- [-1630.018] (-1647.048) (-1640.914) (-1637.625) * (-1656.780) (-1632.452) (-1633.652) [-1633.949] -- 0:02:01
837000 -- [-1627.617] (-1640.990) (-1632.669) (-1640.289) * (-1656.420) (-1632.160) [-1627.900] (-1642.653) -- 0:02:00
838000 -- [-1636.127] (-1639.581) (-1640.141) (-1646.727) * (-1644.543) (-1651.368) [-1630.104] (-1627.963) -- 0:01:59
839000 -- (-1636.273) [-1625.191] (-1637.190) (-1666.589) * (-1638.585) [-1629.554] (-1630.146) (-1643.960) -- 0:01:59
840000 -- [-1639.823] (-1643.609) (-1637.005) (-1639.733) * [-1628.674] (-1639.271) (-1625.351) (-1640.861) -- 0:01:58
Average standard deviation of split frequencies: 0.006310
841000 -- (-1632.301) (-1645.957) (-1634.533) [-1642.616] * (-1648.701) (-1640.715) [-1637.064] (-1626.865) -- 0:01:57
842000 -- (-1643.483) (-1638.501) [-1636.179] (-1644.408) * (-1631.115) (-1663.703) (-1639.303) [-1645.079] -- 0:01:56
843000 -- (-1648.077) (-1632.458) [-1629.886] (-1640.968) * (-1639.263) (-1637.925) [-1640.856] (-1650.728) -- 0:01:56
844000 -- (-1653.863) (-1622.858) (-1643.747) [-1634.600] * (-1633.946) (-1645.494) [-1634.517] (-1640.637) -- 0:01:55
845000 -- (-1641.553) (-1636.450) (-1643.596) [-1632.352] * (-1631.541) [-1636.317] (-1636.477) (-1641.555) -- 0:01:54
Average standard deviation of split frequencies: 0.006278
846000 -- (-1650.036) (-1648.028) [-1636.163] (-1638.871) * [-1632.602] (-1643.671) (-1637.349) (-1643.045) -- 0:01:53
847000 -- (-1646.145) [-1628.727] (-1635.965) (-1628.589) * (-1630.961) [-1632.206] (-1649.287) (-1650.644) -- 0:01:53
848000 -- (-1634.089) (-1643.699) [-1628.793] (-1649.135) * (-1640.787) (-1631.405) [-1631.189] (-1639.308) -- 0:01:52
849000 -- [-1630.593] (-1660.971) (-1643.359) (-1638.861) * (-1643.414) (-1638.917) [-1627.428] (-1635.466) -- 0:01:51
850000 -- (-1641.850) (-1631.210) (-1629.641) [-1637.761] * [-1631.104] (-1635.504) (-1647.705) (-1643.415) -- 0:01:51
Average standard deviation of split frequencies: 0.006143
851000 -- (-1642.287) (-1638.836) [-1629.420] (-1651.268) * (-1636.965) (-1650.976) (-1649.067) [-1631.111] -- 0:01:50
852000 -- (-1635.001) (-1659.888) [-1622.765] (-1634.471) * (-1637.332) (-1653.989) (-1638.253) [-1638.568] -- 0:01:49
853000 -- [-1634.219] (-1656.047) (-1642.029) (-1637.392) * (-1638.916) (-1648.691) [-1642.020] (-1635.153) -- 0:01:48
854000 -- (-1638.256) (-1636.641) [-1624.645] (-1643.157) * (-1645.422) (-1644.460) (-1660.360) [-1628.470] -- 0:01:48
855000 -- (-1646.672) (-1637.611) [-1625.781] (-1635.972) * [-1631.932] (-1659.988) (-1636.839) (-1633.048) -- 0:01:47
Average standard deviation of split frequencies: 0.006159
856000 -- (-1631.349) [-1630.890] (-1643.739) (-1631.938) * [-1632.331] (-1643.890) (-1650.671) (-1636.631) -- 0:01:46
857000 -- (-1635.208) [-1632.515] (-1637.716) (-1635.160) * (-1631.187) (-1645.961) (-1641.169) [-1626.838] -- 0:01:45
858000 -- (-1637.301) (-1643.267) [-1643.387] (-1637.142) * [-1632.129] (-1651.639) (-1649.252) (-1637.788) -- 0:01:45
859000 -- (-1636.001) (-1635.183) (-1643.437) [-1634.645] * (-1652.894) (-1645.448) [-1632.686] (-1644.916) -- 0:01:44
860000 -- (-1635.240) (-1627.826) (-1639.192) [-1635.847] * (-1641.409) (-1637.434) (-1643.758) [-1629.207] -- 0:01:43
Average standard deviation of split frequencies: 0.006094
861000 -- (-1650.468) (-1626.744) (-1633.631) [-1631.881] * (-1630.914) (-1634.472) (-1638.449) [-1639.801] -- 0:01:42
862000 -- (-1639.327) (-1646.637) (-1635.228) [-1643.266] * (-1635.656) [-1629.796] (-1644.927) (-1639.911) -- 0:01:42
863000 -- [-1633.194] (-1635.408) (-1654.693) (-1634.799) * (-1646.529) (-1628.892) (-1627.650) [-1636.637] -- 0:01:41
864000 -- [-1644.376] (-1634.853) (-1656.024) (-1644.803) * (-1646.837) (-1649.562) [-1630.160] (-1647.777) -- 0:01:40
865000 -- (-1652.610) (-1617.730) (-1657.601) [-1630.599] * (-1656.885) (-1649.279) (-1633.326) [-1636.980] -- 0:01:39
Average standard deviation of split frequencies: 0.006202
866000 -- (-1637.875) (-1633.315) (-1649.948) [-1637.217] * (-1636.721) (-1654.552) (-1634.164) [-1627.726] -- 0:01:39
867000 -- (-1661.263) (-1633.918) (-1628.295) [-1629.278] * [-1635.157] (-1640.332) (-1645.705) (-1636.233) -- 0:01:38
868000 -- (-1645.795) [-1628.572] (-1644.662) (-1622.111) * (-1642.078) [-1627.505] (-1635.564) (-1621.757) -- 0:01:37
869000 -- (-1625.623) (-1642.555) [-1632.935] (-1639.651) * [-1645.309] (-1636.360) (-1630.573) (-1638.450) -- 0:01:36
870000 -- [-1624.150] (-1630.667) (-1629.275) (-1651.969) * [-1630.601] (-1626.765) (-1639.852) (-1634.911) -- 0:01:36
Average standard deviation of split frequencies: 0.006329
871000 -- (-1626.914) (-1645.808) [-1632.108] (-1648.203) * [-1631.573] (-1642.305) (-1644.850) (-1643.184) -- 0:01:35
872000 -- [-1635.217] (-1646.711) (-1647.192) (-1630.889) * (-1636.466) [-1640.946] (-1640.446) (-1630.808) -- 0:01:34
873000 -- [-1625.929] (-1650.631) (-1638.374) (-1639.953) * (-1642.646) (-1628.898) [-1640.552] (-1634.645) -- 0:01:33
874000 -- [-1627.359] (-1630.612) (-1633.493) (-1648.463) * (-1652.041) [-1624.538] (-1654.134) (-1633.060) -- 0:01:33
875000 -- (-1632.779) (-1650.000) [-1637.650] (-1645.148) * (-1660.869) [-1633.121] (-1670.230) (-1639.203) -- 0:01:32
Average standard deviation of split frequencies: 0.006177
876000 -- [-1632.099] (-1640.541) (-1650.925) (-1644.289) * (-1644.803) (-1626.228) (-1638.359) [-1639.819] -- 0:01:31
877000 -- (-1655.952) [-1635.005] (-1641.159) (-1646.378) * (-1639.247) [-1629.848] (-1633.144) (-1640.585) -- 0:01:31
878000 -- (-1627.308) (-1655.971) (-1648.063) [-1634.878] * (-1655.648) [-1633.156] (-1630.732) (-1633.962) -- 0:01:30
879000 -- (-1633.953) (-1643.489) [-1639.611] (-1640.359) * (-1645.050) (-1638.715) [-1626.457] (-1626.237) -- 0:01:29
880000 -- [-1626.609] (-1625.756) (-1649.463) (-1658.188) * [-1631.859] (-1629.644) (-1633.776) (-1646.621) -- 0:01:28
Average standard deviation of split frequencies: 0.006333
881000 -- (-1637.589) [-1630.445] (-1648.868) (-1648.530) * (-1632.747) (-1636.486) (-1644.276) [-1640.096] -- 0:01:28
882000 -- (-1633.951) (-1639.330) [-1631.742] (-1634.190) * (-1624.764) (-1625.815) (-1657.021) [-1638.336] -- 0:01:27
883000 -- (-1627.160) (-1630.709) [-1630.921] (-1634.384) * (-1630.230) [-1628.128] (-1661.605) (-1651.390) -- 0:01:26
884000 -- (-1638.203) (-1642.294) [-1627.285] (-1624.565) * (-1632.803) [-1637.786] (-1657.406) (-1639.159) -- 0:01:25
885000 -- (-1638.379) (-1640.741) (-1626.190) [-1627.432] * (-1629.597) (-1647.113) (-1645.505) [-1634.752] -- 0:01:25
Average standard deviation of split frequencies: 0.006460
886000 -- (-1640.775) [-1635.259] (-1647.154) (-1629.979) * (-1647.824) (-1640.223) (-1624.609) [-1635.591] -- 0:01:24
887000 -- (-1651.137) (-1631.020) (-1630.117) [-1629.868] * (-1638.787) [-1638.135] (-1651.719) (-1637.457) -- 0:01:23
888000 -- [-1631.899] (-1638.996) (-1629.767) (-1642.371) * (-1636.827) (-1641.626) [-1627.215] (-1644.467) -- 0:01:22
889000 -- (-1641.255) [-1629.069] (-1647.546) (-1656.589) * (-1624.105) (-1634.059) [-1619.933] (-1638.161) -- 0:01:22
890000 -- (-1638.570) [-1628.760] (-1637.803) (-1643.282) * (-1634.987) (-1650.867) [-1629.909] (-1643.249) -- 0:01:21
Average standard deviation of split frequencies: 0.006426
891000 -- (-1647.245) (-1647.892) (-1632.972) [-1630.587] * (-1644.992) (-1641.009) (-1631.479) [-1634.703] -- 0:01:20
892000 -- [-1629.761] (-1636.022) (-1635.960) (-1638.386) * (-1634.751) (-1649.877) (-1660.932) [-1639.152] -- 0:01:19
893000 -- [-1630.713] (-1639.715) (-1639.558) (-1649.042) * (-1634.250) [-1631.944] (-1651.622) (-1643.293) -- 0:01:19
894000 -- (-1626.653) (-1632.168) [-1635.092] (-1645.673) * [-1637.168] (-1638.401) (-1650.156) (-1637.017) -- 0:01:18
895000 -- (-1636.693) (-1659.177) (-1642.216) [-1639.703] * (-1623.860) (-1652.802) [-1630.155] (-1639.914) -- 0:01:17
Average standard deviation of split frequencies: 0.006299
896000 -- [-1628.399] (-1639.115) (-1638.014) (-1640.503) * [-1624.112] (-1642.985) (-1642.024) (-1629.733) -- 0:01:16
897000 -- (-1655.527) (-1647.494) [-1633.992] (-1631.041) * [-1631.071] (-1639.027) (-1649.725) (-1643.669) -- 0:01:16
898000 -- (-1647.873) (-1641.870) [-1629.578] (-1635.207) * (-1629.546) [-1629.035] (-1681.592) (-1649.343) -- 0:01:15
899000 -- (-1631.755) (-1629.841) (-1649.187) [-1628.557] * [-1627.445] (-1649.106) (-1646.479) (-1637.640) -- 0:01:14
900000 -- [-1634.623] (-1640.314) (-1652.935) (-1637.120) * [-1630.722] (-1642.717) (-1629.770) (-1640.154) -- 0:01:14
Average standard deviation of split frequencies: 0.006413
901000 -- (-1643.141) (-1635.599) [-1634.770] (-1651.345) * (-1647.014) (-1650.645) [-1627.142] (-1629.922) -- 0:01:13
902000 -- (-1646.910) (-1629.289) (-1640.187) [-1631.859] * (-1662.408) [-1636.061] (-1630.217) (-1638.870) -- 0:01:12
903000 -- (-1642.319) (-1633.718) [-1629.785] (-1646.407) * (-1639.296) (-1632.948) [-1627.758] (-1653.843) -- 0:01:11
904000 -- (-1654.090) (-1629.160) (-1639.050) [-1644.010] * (-1648.978) (-1627.898) [-1629.866] (-1633.669) -- 0:01:11
905000 -- (-1661.933) (-1640.965) (-1630.047) [-1636.770] * (-1640.175) [-1628.813] (-1643.135) (-1645.545) -- 0:01:10
Average standard deviation of split frequencies: 0.006294
906000 -- (-1651.821) (-1635.779) (-1633.058) [-1632.288] * (-1631.110) [-1635.052] (-1637.151) (-1632.389) -- 0:01:09
907000 -- (-1636.054) [-1631.167] (-1639.087) (-1641.917) * (-1638.010) [-1638.421] (-1648.890) (-1654.399) -- 0:01:08
908000 -- [-1639.380] (-1647.702) (-1641.597) (-1642.291) * (-1641.606) [-1635.332] (-1634.778) (-1650.107) -- 0:01:08
909000 -- (-1641.183) (-1653.691) (-1631.619) [-1632.903] * [-1637.556] (-1639.213) (-1630.376) (-1632.298) -- 0:01:07
910000 -- (-1665.177) (-1648.317) (-1645.684) [-1628.539] * (-1640.052) (-1630.959) (-1647.536) [-1626.438] -- 0:01:06
Average standard deviation of split frequencies: 0.006248
911000 -- (-1640.140) [-1621.889] (-1637.956) (-1646.821) * [-1641.653] (-1636.075) (-1635.633) (-1641.231) -- 0:01:05
912000 -- (-1640.443) [-1642.027] (-1643.608) (-1631.324) * (-1636.364) (-1647.949) (-1657.817) [-1633.316] -- 0:01:05
913000 -- (-1629.614) (-1650.282) (-1632.201) [-1636.959] * (-1650.959) (-1635.286) (-1636.887) [-1627.131] -- 0:01:04
914000 -- (-1647.063) (-1655.193) [-1633.538] (-1649.283) * (-1651.659) (-1631.824) [-1635.865] (-1634.449) -- 0:01:03
915000 -- (-1652.835) (-1654.129) [-1631.678] (-1671.922) * [-1643.420] (-1641.522) (-1641.654) (-1632.626) -- 0:01:02
Average standard deviation of split frequencies: 0.006247
916000 -- [-1626.467] (-1650.878) (-1636.401) (-1637.667) * (-1658.919) (-1647.999) [-1631.150] (-1624.054) -- 0:01:02
917000 -- (-1641.138) (-1635.074) [-1630.689] (-1662.579) * (-1651.766) (-1644.479) (-1642.390) [-1625.170] -- 0:01:01
918000 -- [-1633.644] (-1650.736) (-1634.619) (-1652.822) * (-1643.328) (-1636.407) [-1623.735] (-1651.295) -- 0:01:00
919000 -- (-1627.421) (-1634.067) (-1628.977) [-1622.053] * (-1631.581) (-1645.073) [-1636.797] (-1634.997) -- 0:00:59
920000 -- [-1630.634] (-1648.466) (-1641.835) (-1643.621) * (-1632.082) (-1643.250) (-1644.668) [-1624.592] -- 0:00:59
Average standard deviation of split frequencies: 0.006407
921000 -- (-1631.439) (-1632.515) [-1626.503] (-1645.815) * (-1641.372) [-1628.816] (-1683.139) (-1642.223) -- 0:00:58
922000 -- [-1632.933] (-1645.017) (-1647.355) (-1635.026) * [-1640.941] (-1635.407) (-1651.702) (-1649.979) -- 0:00:57
923000 -- (-1627.574) [-1631.156] (-1651.688) (-1643.311) * [-1632.502] (-1638.221) (-1646.386) (-1643.026) -- 0:00:56
924000 -- [-1627.090] (-1643.601) (-1651.029) (-1657.199) * (-1649.251) [-1627.579] (-1632.040) (-1631.592) -- 0:00:56
925000 -- (-1648.418) (-1640.036) [-1643.426] (-1654.240) * (-1629.664) (-1652.745) (-1636.169) [-1630.294] -- 0:00:55
Average standard deviation of split frequencies: 0.006498
926000 -- (-1629.661) [-1644.789] (-1651.313) (-1634.773) * (-1629.490) (-1643.924) [-1626.185] (-1635.764) -- 0:00:54
927000 -- (-1644.304) (-1650.913) [-1641.787] (-1632.373) * (-1634.372) [-1630.094] (-1639.118) (-1635.613) -- 0:00:54
928000 -- [-1643.048] (-1642.340) (-1635.675) (-1638.087) * [-1634.401] (-1650.227) (-1644.885) (-1637.449) -- 0:00:53
929000 -- (-1637.354) (-1632.645) (-1649.793) [-1631.245] * (-1633.132) [-1640.331] (-1645.557) (-1639.901) -- 0:00:52
930000 -- (-1644.369) [-1626.442] (-1637.003) (-1633.165) * [-1637.398] (-1632.207) (-1636.538) (-1651.606) -- 0:00:51
Average standard deviation of split frequencies: 0.006374
931000 -- [-1630.398] (-1632.264) (-1630.692) (-1641.362) * (-1639.951) (-1630.959) (-1655.684) [-1627.930] -- 0:00:51
932000 -- (-1629.064) [-1636.430] (-1641.545) (-1635.744) * (-1643.595) [-1629.209] (-1644.501) (-1658.544) -- 0:00:50
933000 -- (-1631.293) [-1634.999] (-1644.294) (-1635.170) * (-1637.453) (-1626.162) (-1638.763) [-1638.583] -- 0:00:49
934000 -- [-1628.372] (-1660.305) (-1650.089) (-1638.433) * (-1642.219) [-1628.548] (-1642.405) (-1655.630) -- 0:00:48
935000 -- [-1639.471] (-1633.474) (-1644.402) (-1640.946) * [-1641.287] (-1642.871) (-1654.085) (-1634.100) -- 0:00:48
Average standard deviation of split frequencies: 0.006449
936000 -- [-1638.927] (-1647.679) (-1651.672) (-1646.055) * (-1650.075) [-1634.932] (-1631.084) (-1646.598) -- 0:00:47
937000 -- [-1628.855] (-1649.142) (-1640.970) (-1653.132) * (-1630.884) (-1634.829) (-1641.155) [-1637.323] -- 0:00:46
938000 -- [-1634.856] (-1645.479) (-1643.848) (-1640.896) * (-1637.721) (-1635.990) (-1637.982) [-1636.201] -- 0:00:45
939000 -- [-1631.559] (-1652.042) (-1639.437) (-1645.893) * [-1633.590] (-1663.136) (-1635.816) (-1643.772) -- 0:00:45
940000 -- (-1637.887) (-1656.588) [-1628.189] (-1651.631) * (-1631.524) (-1644.423) [-1622.588] (-1630.712) -- 0:00:44
Average standard deviation of split frequencies: 0.006424
941000 -- (-1644.415) (-1648.123) (-1632.953) [-1644.648] * [-1636.195] (-1639.052) (-1637.469) (-1652.395) -- 0:00:43
942000 -- (-1636.760) [-1636.594] (-1634.682) (-1653.643) * (-1631.225) [-1632.905] (-1651.319) (-1652.791) -- 0:00:42
943000 -- (-1645.210) (-1642.993) [-1636.442] (-1650.323) * [-1631.632] (-1632.561) (-1632.657) (-1653.194) -- 0:00:42
944000 -- (-1650.099) (-1646.173) (-1637.395) [-1644.558] * (-1651.423) (-1643.080) [-1628.159] (-1643.987) -- 0:00:41
945000 -- (-1638.834) (-1641.135) [-1637.224] (-1635.359) * (-1646.625) (-1633.985) [-1621.239] (-1650.308) -- 0:00:40
Average standard deviation of split frequencies: 0.006277
946000 -- (-1633.691) (-1635.112) (-1638.962) [-1628.052] * (-1631.929) (-1636.971) [-1625.532] (-1630.549) -- 0:00:39
947000 -- (-1628.123) (-1632.145) (-1645.306) [-1631.114] * (-1628.933) [-1626.522] (-1628.482) (-1650.461) -- 0:00:39
948000 -- [-1625.849] (-1635.663) (-1642.196) (-1648.571) * (-1633.511) (-1635.653) [-1625.775] (-1650.765) -- 0:00:38
949000 -- (-1640.777) (-1634.378) (-1654.637) [-1634.470] * (-1633.154) (-1650.696) [-1619.373] (-1642.355) -- 0:00:37
950000 -- (-1629.394) (-1640.019) [-1631.390] (-1642.784) * (-1638.691) [-1642.059] (-1633.723) (-1641.126) -- 0:00:37
Average standard deviation of split frequencies: 0.006185
951000 -- [-1630.488] (-1639.532) (-1635.441) (-1630.240) * (-1653.669) [-1627.314] (-1637.761) (-1638.529) -- 0:00:36
952000 -- [-1632.798] (-1637.741) (-1649.150) (-1636.448) * (-1658.453) (-1635.101) (-1638.294) [-1636.247] -- 0:00:35
953000 -- [-1639.488] (-1634.183) (-1637.221) (-1641.584) * (-1643.794) (-1630.025) [-1638.482] (-1641.672) -- 0:00:34
954000 -- (-1644.209) [-1634.738] (-1636.967) (-1657.447) * (-1632.520) (-1637.628) [-1646.640] (-1620.230) -- 0:00:34
955000 -- (-1660.446) [-1631.918] (-1641.942) (-1636.434) * (-1638.924) [-1629.373] (-1648.417) (-1640.288) -- 0:00:33
Average standard deviation of split frequencies: 0.006191
956000 -- (-1647.663) (-1641.264) [-1630.578] (-1640.418) * (-1633.745) [-1630.454] (-1651.875) (-1634.843) -- 0:00:32
957000 -- (-1641.157) [-1638.672] (-1633.922) (-1650.584) * (-1643.869) (-1640.240) [-1630.649] (-1653.197) -- 0:00:31
958000 -- (-1633.652) [-1639.620] (-1631.497) (-1639.937) * (-1647.194) (-1637.491) [-1625.762] (-1633.943) -- 0:00:31
959000 -- [-1620.588] (-1649.422) (-1642.014) (-1631.986) * (-1649.199) [-1624.895] (-1644.654) (-1647.579) -- 0:00:30
960000 -- [-1633.177] (-1639.978) (-1640.967) (-1652.809) * (-1653.579) (-1633.164) (-1640.824) [-1644.415] -- 0:00:29
Average standard deviation of split frequencies: 0.006216
961000 -- (-1646.248) [-1636.134] (-1647.057) (-1651.670) * (-1638.033) [-1634.089] (-1665.016) (-1645.821) -- 0:00:28
962000 -- (-1641.098) [-1632.178] (-1636.409) (-1645.679) * (-1632.301) [-1639.435] (-1638.158) (-1636.440) -- 0:00:28
963000 -- (-1629.123) (-1643.061) (-1633.514) [-1633.848] * (-1651.137) (-1651.802) [-1629.758] (-1635.903) -- 0:00:27
964000 -- [-1623.228] (-1640.944) (-1645.168) (-1652.498) * (-1650.206) (-1633.365) (-1627.904) [-1635.180] -- 0:00:26
965000 -- (-1629.645) (-1631.032) [-1632.122] (-1653.521) * (-1651.152) (-1647.878) (-1646.652) [-1635.462] -- 0:00:25
Average standard deviation of split frequencies: 0.006215
966000 -- [-1622.734] (-1646.177) (-1630.778) (-1623.194) * (-1647.403) (-1640.605) (-1650.915) [-1631.988] -- 0:00:25
967000 -- (-1650.029) (-1645.817) (-1639.802) [-1629.897] * (-1644.336) (-1653.889) (-1642.536) [-1624.117] -- 0:00:24
968000 -- (-1665.782) (-1668.626) [-1640.409] (-1638.450) * (-1652.410) (-1635.008) (-1648.814) [-1626.820] -- 0:00:23
969000 -- (-1645.043) [-1632.450] (-1630.572) (-1630.163) * (-1649.444) (-1625.405) [-1625.093] (-1630.370) -- 0:00:22
970000 -- (-1640.508) (-1632.088) [-1631.342] (-1658.579) * (-1647.123) (-1637.809) (-1621.259) [-1626.912] -- 0:00:22
Average standard deviation of split frequencies: 0.006266
971000 -- (-1648.161) (-1646.474) (-1631.103) [-1629.625] * (-1641.871) [-1623.360] (-1651.838) (-1653.127) -- 0:00:21
972000 -- (-1646.812) (-1642.241) (-1642.804) [-1643.542] * (-1635.155) (-1636.979) [-1627.991] (-1643.690) -- 0:00:20
973000 -- [-1629.595] (-1644.631) (-1633.554) (-1635.241) * [-1634.974] (-1626.644) (-1638.930) (-1649.421) -- 0:00:19
974000 -- (-1630.812) (-1648.571) (-1628.814) [-1640.448] * (-1649.503) [-1634.371] (-1630.633) (-1652.136) -- 0:00:19
975000 -- (-1652.076) [-1628.103] (-1637.069) (-1653.568) * (-1653.171) (-1631.442) [-1622.424] (-1639.852) -- 0:00:18
Average standard deviation of split frequencies: 0.006259
976000 -- (-1646.682) [-1635.091] (-1637.275) (-1635.566) * (-1641.736) [-1636.832] (-1646.779) (-1649.493) -- 0:00:17
977000 -- (-1646.416) [-1630.483] (-1640.649) (-1651.943) * (-1638.473) [-1637.606] (-1648.844) (-1641.249) -- 0:00:17
978000 -- (-1633.826) (-1642.084) (-1643.780) [-1645.436] * (-1627.489) [-1632.507] (-1637.900) (-1639.443) -- 0:00:16
979000 -- [-1627.119] (-1641.476) (-1631.541) (-1643.194) * (-1639.726) [-1634.683] (-1651.927) (-1639.370) -- 0:00:15
980000 -- (-1643.212) (-1658.600) [-1630.488] (-1624.157) * [-1640.897] (-1634.016) (-1644.397) (-1635.804) -- 0:00:14
Average standard deviation of split frequencies: 0.006289
981000 -- (-1635.651) (-1643.864) [-1634.458] (-1638.941) * (-1624.750) [-1626.724] (-1650.515) (-1659.754) -- 0:00:14
982000 -- (-1635.928) (-1625.046) (-1643.001) [-1642.876] * (-1643.352) (-1639.181) (-1644.299) [-1626.423] -- 0:00:13
983000 -- (-1634.994) (-1629.412) (-1636.796) [-1630.558] * (-1660.430) (-1643.674) [-1627.393] (-1631.498) -- 0:00:12
984000 -- (-1651.277) [-1635.664] (-1636.155) (-1640.939) * (-1648.475) (-1653.681) [-1625.501] (-1643.572) -- 0:00:11
985000 -- [-1629.404] (-1641.107) (-1654.257) (-1637.371) * [-1627.601] (-1638.844) (-1636.475) (-1639.609) -- 0:00:11
Average standard deviation of split frequencies: 0.006175
986000 -- [-1629.414] (-1646.549) (-1644.293) (-1627.151) * [-1633.523] (-1633.574) (-1648.709) (-1639.300) -- 0:00:10
987000 -- [-1636.069] (-1647.056) (-1632.537) (-1643.984) * (-1641.638) [-1632.099] (-1632.767) (-1646.903) -- 0:00:09
988000 -- (-1631.603) (-1652.319) [-1634.036] (-1644.958) * (-1636.890) (-1655.889) (-1644.865) [-1634.030] -- 0:00:08
989000 -- (-1639.200) (-1644.406) [-1626.564] (-1640.399) * (-1639.677) (-1645.302) [-1632.220] (-1630.568) -- 0:00:08
990000 -- (-1636.428) (-1646.930) [-1640.611] (-1636.163) * (-1665.988) (-1631.548) (-1632.557) [-1630.589] -- 0:00:07
Average standard deviation of split frequencies: 0.006212
991000 -- (-1650.008) (-1641.480) [-1642.176] (-1631.925) * (-1669.321) [-1629.380] (-1634.169) (-1636.095) -- 0:00:06
992000 -- (-1629.860) (-1658.202) [-1636.704] (-1641.975) * (-1652.783) (-1627.939) (-1635.356) [-1630.919] -- 0:00:05
993000 -- (-1652.667) (-1640.768) [-1639.118] (-1651.911) * (-1650.143) (-1637.314) [-1639.575] (-1640.699) -- 0:00:05
994000 -- (-1636.208) (-1647.361) (-1637.430) [-1633.326] * (-1640.561) [-1634.611] (-1647.630) (-1642.645) -- 0:00:04
995000 -- (-1625.644) (-1646.290) [-1639.466] (-1636.242) * [-1639.174] (-1641.367) (-1646.745) (-1634.566) -- 0:00:03
Average standard deviation of split frequencies: 0.006330
996000 -- (-1650.273) [-1637.558] (-1650.242) (-1629.619) * (-1640.864) [-1631.359] (-1628.536) (-1658.933) -- 0:00:02
997000 -- (-1640.214) (-1635.673) (-1630.433) [-1630.350] * [-1637.497] (-1642.020) (-1646.273) (-1652.248) -- 0:00:02
998000 -- [-1632.702] (-1639.333) (-1641.397) (-1639.332) * (-1639.934) [-1631.689] (-1648.854) (-1637.217) -- 0:00:01
999000 -- [-1634.090] (-1632.822) (-1643.341) (-1635.545) * (-1650.395) (-1640.435) (-1644.266) [-1626.322] -- 0:00:00
1000000 -- (-1635.792) (-1636.043) (-1644.592) [-1624.829] * (-1631.105) [-1632.120] (-1649.811) (-1647.810) -- 0:00:00
Average standard deviation of split frequencies: 0.006320
Analysis completed in 12 mins 20 seconds
Analysis used 739.76 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -1612.73
Likelihood of best state for "cold" chain of run 2 was -1613.01
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
55.9 % ( 45 %) Dirichlet(Revmat{all})
69.2 % ( 56 %) Slider(Revmat{all})
27.3 % ( 29 %) Dirichlet(Pi{all})
29.2 % ( 23 %) Slider(Pi{all})
68.9 % ( 49 %) Multiplier(Alpha{1,2})
62.5 % ( 30 %) Multiplier(Alpha{3})
76.8 % ( 50 %) Slider(Pinvar{all})
39.1 % ( 40 %) ExtSPR(Tau{all},V{all})
29.0 % ( 29 %) ExtTBR(Tau{all},V{all})
44.0 % ( 43 %) NNI(Tau{all},V{all})
31.9 % ( 28 %) ParsSPR(Tau{all},V{all})
27.3 % ( 25 %) Multiplier(V{all})
62.9 % ( 68 %) Nodeslider(V{all})
25.5 % ( 29 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
54.4 % ( 47 %) Dirichlet(Revmat{all})
70.0 % ( 62 %) Slider(Revmat{all})
27.2 % ( 22 %) Dirichlet(Pi{all})
29.4 % ( 22 %) Slider(Pi{all})
69.1 % ( 39 %) Multiplier(Alpha{1,2})
62.5 % ( 37 %) Multiplier(Alpha{3})
76.6 % ( 54 %) Slider(Pinvar{all})
39.4 % ( 44 %) ExtSPR(Tau{all},V{all})
29.2 % ( 33 %) ExtTBR(Tau{all},V{all})
43.9 % ( 43 %) NNI(Tau{all},V{all})
31.8 % ( 31 %) ParsSPR(Tau{all},V{all})
27.3 % ( 22 %) Multiplier(V{all})
62.6 % ( 66 %) Nodeslider(V{all})
25.8 % ( 23 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.52 0.20 0.06
2 | 166474 0.53 0.22
3 | 167027 166075 0.55
4 | 166006 167081 167337
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.52 0.21 0.06
2 | 166174 0.54 0.23
3 | 167123 166350 0.55
4 | 166684 166830 166839
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)
+------------------------------------------------------------+ -1628.75
| 2 |
| 2 |
| 1 |
| 1 2 1 2 1 1 |
| 2 212 1 11 * 2 |
| 1 2 2 1 2 1 22 |
| 2 2 2 2 2 2 2 1 12 2|
|2 1 2 1 * 2 1 1 1 2 2 |
| 1 2 2 11 1 1 2111 221 12 11 |
| 22 2 2 111 1 2 1 21 * 21|
|1 1 11 2 * 2 2 2 * 2 1* |
| 2 **1 1 1 2 1 2 |
| 1 1 2 2 1 2 |
| 2 |
| 1 1 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -1636.72
^ ^
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 -1624.46 -1653.34
2 -1622.28 -1649.05
--------------------------------------
TOTAL -1622.86 -1652.66
--------------------------------------
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} 0.171515 0.000525 0.126747 0.214228 0.169946 1274.42 1347.41 1.000
r(A<->C){all} 0.078450 0.000908 0.022342 0.135664 0.075101 819.22 824.81 1.000
r(A<->G){all} 0.149586 0.001341 0.084035 0.220281 0.147364 589.65 645.51 1.000
r(A<->T){all} 0.071417 0.000412 0.034932 0.112173 0.069800 983.22 1014.65 1.000
r(C<->G){all} 0.072375 0.001099 0.015355 0.136772 0.068032 554.14 636.92 1.000
r(C<->T){all} 0.545520 0.002810 0.447635 0.652978 0.546743 657.92 786.00 1.000
r(G<->T){all} 0.082653 0.000628 0.038360 0.131316 0.079603 776.30 786.47 1.001
pi(A){all} 0.280127 0.000264 0.249623 0.311895 0.279858 1080.18 1169.26 1.000
pi(C){all} 0.159895 0.000177 0.135794 0.188141 0.159833 1105.15 1157.66 1.000
pi(G){all} 0.201918 0.000210 0.173985 0.230158 0.201937 1200.41 1278.89 1.000
pi(T){all} 0.358059 0.000309 0.324062 0.392437 0.357969 1259.97 1275.22 1.000
alpha{1,2} 0.878937 0.598491 0.006594 2.424677 0.642234 1096.69 1186.62 1.001
alpha{3} 1.226214 0.962731 0.035686 3.213657 0.930598 951.90 994.81 1.001
pinvar{all} 0.374884 0.027155 0.021835 0.623621 0.397279 606.62 701.41 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 -- C65
2 -- C10
3 -- C67
4 -- C9
5 -- C73
6 -- C72
7 -- C74
8 -- C16
9 -- C80
10 -- C81
11 -- C58
12 -- C87
13 -- C60
14 -- C107
15 -- C115
16 -- C114
17 -- C61
18 -- C8
19 -- C117
20 -- C15
21 -- C124
22 -- C11
23 -- C130
24 -- C131
25 -- C18
26 -- C77
27 -- C136
28 -- C7
29 -- C25
30 -- C84
Key to taxon bipartitions (saved to file "/data/mrbayes_input.nex.parts"):
ID -- Partition
-------------------------------------
1 -- .*****************************
2 -- .*............................
3 -- ..*...........................
4 -- ...*..........................
5 -- ....*.........................
6 -- .....*........................
7 -- ......*.......................
8 -- .......*......................
9 -- ........*.....................
10 -- .........*....................
11 -- ..........*...................
12 -- ...........*..................
13 -- ............*.................
14 -- .............*................
15 -- ..............*...............
16 -- ...............*..............
17 -- ................*.............
18 -- .................*............
19 -- ..................*...........
20 -- ...................*..........
21 -- ....................*.........
22 -- .....................*........
23 -- ......................*.......
24 -- .......................*......
25 -- ........................*.....
26 -- .........................*....
27 -- ..........................*...
28 -- ...........................*..
29 -- ............................*.
30 -- .............................*
31 -- ...........*.................*
32 -- ..........*..****.*..***..*...
33 -- ..........*..***..*...*.......
34 -- ..........*..****.*..***..*.*.
35 -- .*.***************************
36 -- ..........*..****.*..***......
37 -- .*.****.**.*.....*.*....**.*.*
38 -- ..........*..****.*...*.......
39 -- ........*................*....
40 -- ........*..*.............*...*
41 -- .*.*....*..*.....*.*.....*.*.*
42 -- .*.*.............*.*.......*..
43 -- .*.*..........................
44 -- .*.*********.*****************
45 -- .*.*******.*.....*.*....**.*.*
46 -- .*.*******.*.....*.**...**.*.*
47 -- ..........*..****.*...**......
48 -- ..........*..****.*..**.......
49 -- .....................*.*......
50 -- .*.*********.*******.*********
51 -- ..........*..****.*.****..*.*.
52 -- .................*.*..........
53 -- .*.*.......................*..
54 -- .*.*...............*.......*..
55 -- .*.*.............*.*..........
56 -- .*.*...............*..........
57 -- .*.*.............*.........*..
58 -- .................*.*.......*..
59 -- ...................*.......*..
60 -- .................*.........*..
61 -- .*.*.............*............
62 -- .*.****.*..*.....*.*....**.*.*
63 -- .....**.......................
64 -- .............**...............
65 -- .....*..................*.....
66 -- ..........*..*.*..*...*.......
67 -- ..........*....*..............
68 -- .*.*.*..*..*.....*.*.....*.*.*
69 -- .........*..............*.....
70 -- ..................*...*.......
71 -- ...............*..*...........
72 -- .............***..*...*.......
73 -- ..........*..**...*...*.......
74 -- .*.**...*..*.....*.*.....*.*.*
75 -- ..........*...*...............
76 -- .*.*....**.*.....*.*.....*.*.*
77 -- ..............*.......*.......
78 -- .............*....*...........
79 -- .............*.*..............
80 -- ..........*..*................
81 -- ....***..*..............*.....
82 -- ..............**..............
83 -- ..........*.......*...........
84 -- .*.*..*.*..*.....*.*.....*.*.*
85 -- ....*.*.......................
86 -- ....**........................
87 -- ...............*......*.......
88 -- ......*..*....................
89 -- ..............*...*...........
90 -- .*.*....*..*.....*.*....**.*.*
91 -- ..........*..***......*.......
92 -- ..........*..***..*...........
93 -- ..........*...........*.......
94 -- .*.*.**.**.*.....*.*....**.*.*
95 -- .*.***..**.*.....*.*....**.*.*
96 -- ....*....*....................
97 -- .*.****.**.*.....*.*.....*.*.*
98 -- ..........*...**..*...*.......
99 -- .*.**.*.**.*.....*.*....**.*.*
100 -- ......*.................*.....
101 -- ....*...................*.....
102 -- .............*........*.......
-------------------------------------
Summary statistics for informative taxon bipartitions
(saved to file "/data/mrbayes_input.nex.tstat"):
ID #obs Probab. Sd(s)+ Min(s) Max(s) Nruns
-----------------------------------------------------------------
31 3002 1.000000 0.000000 1.000000 1.000000 2
32 3002 1.000000 0.000000 1.000000 1.000000 2
33 3002 1.000000 0.000000 1.000000 1.000000 2
34 3002 1.000000 0.000000 1.000000 1.000000 2
35 3002 1.000000 0.000000 1.000000 1.000000 2
36 3002 1.000000 0.000000 1.000000 1.000000 2
37 3002 1.000000 0.000000 1.000000 1.000000 2
38 2997 0.998334 0.002355 0.996669 1.000000 2
39 2959 0.985676 0.001413 0.984677 0.986676 2
40 2954 0.984011 0.005653 0.980013 0.988008 2
41 2949 0.982345 0.007066 0.977348 0.987342 2
42 2923 0.973684 0.005182 0.970020 0.977348 2
43 2875 0.957695 0.004240 0.954697 0.960693 2
44 2872 0.956696 0.000000 0.956696 0.956696 2
45 2781 0.926382 0.001413 0.925383 0.927382 2
46 1136 0.378414 0.013191 0.369087 0.387742 2
47 1032 0.343771 0.002827 0.341772 0.345769 2
48 990 0.329780 0.000942 0.329114 0.330446 2
49 978 0.325783 0.002827 0.323784 0.327781 2
50 931 0.310127 0.007066 0.305130 0.315123 2
51 841 0.280147 0.006124 0.275816 0.284477 2
52 625 0.208195 0.010835 0.200533 0.215856 2
53 623 0.207528 0.000471 0.207195 0.207861 2
54 605 0.201532 0.004240 0.198534 0.204530 2
55 596 0.198534 0.002827 0.196536 0.200533 2
56 586 0.195203 0.004711 0.191872 0.198534 2
57 574 0.191206 0.016017 0.179880 0.202532 2
58 573 0.190873 0.005182 0.187209 0.194537 2
59 569 0.189540 0.008951 0.183211 0.195869 2
60 566 0.188541 0.007537 0.183211 0.193871 2
61 546 0.181879 0.010364 0.174550 0.189207 2
62 413 0.137575 0.013662 0.127915 0.147235 2
63 363 0.120919 0.008951 0.114590 0.127249 2
64 361 0.120253 0.007066 0.115256 0.125250 2
65 360 0.119920 0.004711 0.116589 0.123251 2
66 358 0.119254 0.010364 0.111925 0.126582 2
67 350 0.116589 0.002827 0.114590 0.118588 2
68 349 0.116256 0.005182 0.112592 0.119920 2
69 346 0.115256 0.016959 0.103264 0.127249 2
70 346 0.115256 0.009422 0.108594 0.121919 2
71 344 0.114590 0.003769 0.111925 0.117255 2
72 342 0.113924 0.007537 0.108594 0.119254 2
73 340 0.113258 0.008480 0.107262 0.119254 2
74 339 0.112925 0.009893 0.105929 0.119920 2
75 339 0.112925 0.004240 0.109927 0.115923 2
76 336 0.111925 0.010364 0.104597 0.119254 2
77 334 0.111259 0.009422 0.104597 0.117921 2
78 332 0.110593 0.014133 0.100600 0.120586 2
79 331 0.110260 0.001413 0.109260 0.111259 2
80 329 0.109594 0.001413 0.108594 0.110593 2
81 329 0.109594 0.010835 0.101932 0.117255 2
82 328 0.109260 0.014133 0.099267 0.119254 2
83 328 0.109260 0.001884 0.107928 0.110593 2
84 328 0.109260 0.014133 0.099267 0.119254 2
85 327 0.108927 0.005182 0.105263 0.112592 2
86 325 0.108261 0.007066 0.103264 0.113258 2
87 325 0.108261 0.001413 0.107262 0.109260 2
88 324 0.107928 0.007537 0.102598 0.113258 2
89 324 0.107928 0.000942 0.107262 0.108594 2
90 323 0.107595 0.010835 0.099933 0.115256 2
91 323 0.107595 0.004240 0.104597 0.110593 2
92 323 0.107595 0.023083 0.091272 0.123917 2
93 320 0.106596 0.000942 0.105929 0.107262 2
94 318 0.105929 0.004711 0.102598 0.109260 2
95 316 0.105263 0.010364 0.097935 0.112592 2
96 316 0.105263 0.006595 0.100600 0.109927 2
97 315 0.104930 0.006124 0.100600 0.109260 2
98 313 0.104264 0.006124 0.099933 0.108594 2
99 310 0.103264 0.000000 0.103264 0.103264 2
100 306 0.101932 0.005653 0.097935 0.105929 2
101 300 0.099933 0.018844 0.086609 0.113258 2
102 300 0.099933 0.013191 0.090606 0.109260 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] 0.000966 0.000001 0.000000 0.002993 0.000661 1.001 2
length{all}[2] 0.003009 0.000003 0.000376 0.006577 0.002667 1.002 2
length{all}[3] 0.000979 0.000001 0.000000 0.002884 0.000687 1.001 2
length{all}[4] 0.001028 0.000001 0.000000 0.003080 0.000683 1.000 2
length{all}[5] 0.000981 0.000001 0.000001 0.002930 0.000670 1.000 2
length{all}[6] 0.002025 0.000002 0.000056 0.004810 0.001718 1.000 2
length{all}[7] 0.001992 0.000002 0.000036 0.004838 0.001608 1.001 2
length{all}[8] 0.001383 0.000002 0.000000 0.004047 0.000997 1.001 2
length{all}[9] 0.002957 0.000003 0.000139 0.006236 0.002603 1.000 2
length{all}[10] 0.003981 0.000004 0.000701 0.008046 0.003584 1.000 2
length{all}[11] 0.002080 0.000002 0.000024 0.005056 0.001722 1.000 2
length{all}[12] 0.000966 0.000001 0.000000 0.002941 0.000634 1.000 2
length{all}[13] 0.003310 0.000005 0.000043 0.007300 0.002930 1.000 2
length{all}[14] 0.001013 0.000001 0.000001 0.003135 0.000688 1.000 2
length{all}[15] 0.001004 0.000001 0.000001 0.002992 0.000688 1.000 2
length{all}[16] 0.001035 0.000001 0.000000 0.003076 0.000734 1.000 2
length{all}[17] 0.001092 0.000001 0.000000 0.003251 0.000750 1.000 2
length{all}[18] 0.001002 0.000001 0.000000 0.002935 0.000695 1.000 2
length{all}[19] 0.001018 0.000001 0.000000 0.002946 0.000735 1.000 2
length{all}[20] 0.001992 0.000002 0.000053 0.004832 0.001656 1.000 2
length{all}[21] 0.002389 0.000003 0.000004 0.005834 0.001987 1.000 2
length{all}[22] 0.002062 0.000002 0.000001 0.004960 0.001732 1.000 2
length{all}[23] 0.001017 0.000001 0.000000 0.003098 0.000701 1.000 2
length{all}[24] 0.001003 0.000001 0.000001 0.003136 0.000661 1.000 2
length{all}[25] 0.003000 0.000003 0.000281 0.006530 0.002615 1.000 2
length{all}[26] 0.000997 0.000001 0.000000 0.003035 0.000683 1.000 2
length{all}[27] 0.004671 0.000006 0.000784 0.009953 0.004229 1.000 2
length{all}[28] 0.001976 0.000002 0.000017 0.004656 0.001665 1.000 2
length{all}[29] 0.020412 0.000032 0.010359 0.031822 0.019851 1.000 2
length{all}[30] 0.000990 0.000001 0.000000 0.002865 0.000693 1.000 2
length{all}[31] 0.005065 0.000006 0.001077 0.009718 0.004662 1.000 2
length{all}[32] 0.016224 0.000024 0.007783 0.026324 0.015599 1.000 2
length{all}[33] 0.004121 0.000005 0.000732 0.008484 0.003732 1.000 2
length{all}[34] 0.017939 0.000028 0.009473 0.029472 0.017441 1.000 2
length{all}[35] 0.009063 0.000011 0.003035 0.015271 0.008644 1.000 2
length{all}[36] 0.010148 0.000014 0.003873 0.017770 0.009700 1.001 2
length{all}[37] 0.003563 0.000004 0.000443 0.007333 0.003205 1.000 2
length{all}[38] 0.003055 0.000003 0.000234 0.006626 0.002710 1.000 2
length{all}[39] 0.001986 0.000002 0.000040 0.004657 0.001671 1.000 2
length{all}[40] 0.002028 0.000002 0.000061 0.004785 0.001705 1.000 2
length{all}[41] 0.002013 0.000002 0.000022 0.005000 0.001664 1.000 2
length{all}[42] 0.002027 0.000002 0.000054 0.005075 0.001692 1.000 2
length{all}[43] 0.001999 0.000002 0.000027 0.004898 0.001673 1.000 2
length{all}[44] 0.004298 0.000005 0.000511 0.008619 0.003967 1.000 2
length{all}[45] 0.003001 0.000003 0.000151 0.006591 0.002669 1.000 2
length{all}[46] 0.001965 0.000003 0.000000 0.005506 0.001427 1.000 2
length{all}[47] 0.001121 0.000001 0.000000 0.003444 0.000771 1.000 2
length{all}[48] 0.001027 0.000001 0.000001 0.003231 0.000652 0.999 2
length{all}[49] 0.001034 0.000001 0.000001 0.003053 0.000715 0.999 2
length{all}[50] 0.001521 0.000002 0.000001 0.004425 0.001032 1.001 2
length{all}[51] 0.001568 0.000002 0.000001 0.004593 0.001139 1.001 2
length{all}[52] 0.000975 0.000001 0.000000 0.002995 0.000660 0.999 2
length{all}[53] 0.001049 0.000001 0.000001 0.003069 0.000714 1.002 2
length{all}[54] 0.000988 0.000001 0.000005 0.003102 0.000682 0.998 2
length{all}[55] 0.000999 0.000001 0.000002 0.002881 0.000718 0.999 2
length{all}[56] 0.000939 0.000001 0.000001 0.002865 0.000635 1.001 2
length{all}[57] 0.000995 0.000001 0.000001 0.002993 0.000674 1.001 2
length{all}[58] 0.001011 0.000001 0.000001 0.002906 0.000737 0.998 2
length{all}[59] 0.000974 0.000001 0.000001 0.003077 0.000676 1.000 2
length{all}[60] 0.001012 0.000001 0.000003 0.003062 0.000678 1.009 2
length{all}[61] 0.001020 0.000001 0.000002 0.003130 0.000686 0.998 2
length{all}[62] 0.001230 0.000001 0.000002 0.003457 0.000901 0.998 2
length{all}[63] 0.000966 0.000001 0.000000 0.002805 0.000630 0.999 2
length{all}[64] 0.001016 0.000001 0.000002 0.003065 0.000701 0.999 2
length{all}[65] 0.001030 0.000001 0.000005 0.003210 0.000648 0.997 2
length{all}[66] 0.001014 0.000001 0.000010 0.002862 0.000689 0.998 2
length{all}[67] 0.001079 0.000001 0.000001 0.003585 0.000715 0.997 2
length{all}[68] 0.000961 0.000001 0.000002 0.002701 0.000658 0.997 2
length{all}[69] 0.000973 0.000001 0.000003 0.002813 0.000677 0.997 2
length{all}[70] 0.001040 0.000001 0.000002 0.003509 0.000672 1.002 2
length{all}[71] 0.001038 0.000001 0.000001 0.003131 0.000776 0.997 2
length{all}[72] 0.001142 0.000001 0.000004 0.003330 0.000781 1.005 2
length{all}[73] 0.001053 0.000001 0.000002 0.002892 0.000762 0.998 2
length{all}[74] 0.000959 0.000001 0.000002 0.002940 0.000613 0.998 2
length{all}[75] 0.001116 0.000001 0.000002 0.003301 0.000787 1.000 2
length{all}[76] 0.001124 0.000001 0.000008 0.003429 0.000749 0.997 2
length{all}[77] 0.001069 0.000001 0.000009 0.003374 0.000790 0.998 2
length{all}[78] 0.001014 0.000001 0.000002 0.002714 0.000736 0.997 2
length{all}[79] 0.000969 0.000001 0.000004 0.002800 0.000707 0.998 2
length{all}[80] 0.000981 0.000001 0.000003 0.002771 0.000710 0.997 2
length{all}[81] 0.000899 0.000001 0.000001 0.002548 0.000624 0.999 2
length{all}[82] 0.001061 0.000001 0.000008 0.003138 0.000787 0.997 2
length{all}[83] 0.001068 0.000001 0.000002 0.003388 0.000741 0.998 2
length{all}[84] 0.000931 0.000001 0.000010 0.002578 0.000741 1.004 2
length{all}[85] 0.001070 0.000001 0.000004 0.002867 0.000768 1.001 2
length{all}[86] 0.000918 0.000001 0.000001 0.002680 0.000673 0.998 2
length{all}[87] 0.000988 0.000001 0.000001 0.002944 0.000663 0.999 2
length{all}[88] 0.000958 0.000001 0.000008 0.002709 0.000692 0.997 2
length{all}[89] 0.000923 0.000001 0.000005 0.002789 0.000627 0.997 2
length{all}[90] 0.000980 0.000001 0.000001 0.003079 0.000646 1.003 2
length{all}[91] 0.000899 0.000001 0.000000 0.002554 0.000645 1.001 2
length{all}[92] 0.000894 0.000001 0.000000 0.002667 0.000657 0.997 2
length{all}[93] 0.000922 0.000001 0.000000 0.002667 0.000664 0.997 2
length{all}[94] 0.001013 0.000001 0.000001 0.003317 0.000627 0.997 2
length{all}[95] 0.000981 0.000001 0.000002 0.003024 0.000695 0.997 2
length{all}[96] 0.001040 0.000001 0.000002 0.002870 0.000716 1.002 2
length{all}[97] 0.000991 0.000001 0.000001 0.002705 0.000674 1.006 2
length{all}[98] 0.001005 0.000001 0.000000 0.003102 0.000727 0.998 2
length{all}[99] 0.001090 0.000001 0.000015 0.003229 0.000758 1.004 2
length{all}[100] 0.000995 0.000001 0.000002 0.002983 0.000714 0.997 2
length{all}[101] 0.000900 0.000001 0.000003 0.002517 0.000653 1.000 2
length{all}[102] 0.001115 0.000001 0.000002 0.003134 0.000681 0.999 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 = 0.006320
Maximum standard deviation of split frequencies = 0.023083
Average PSRF for parameter values (excluding NA and >10.0) = 1.000
Maximum PSRF for parameter values = 1.009
Clade credibility values:
/--------------------------------------------------------------------- C65 (1)
|
|--------------------------------------------------------------------- C67 (3)
|
| /--------- C10 (2)
| /---96--+
| | \--------- C9 (4)
| |
| |----------------- C8 (18)
| /---97---+
| | |----------------- C15 (20)
| | |
| | \----------------- C7 (28)
| /---98--+
| | | /--------- C80 (9)
| | | /---99--+
| | | | \--------- C77 (26)
| | \---98---+
| | | /--------- C87 (12)
| | \--100--+
| | \--------- C84 (30)
| |
| /---100--+---------------------------------- C73 (5)
| | |
| | |---------------------------------- C72 (6)
+ | |
| | |---------------------------------- C74 (7)
| /---93---+ |
| | | |---------------------------------- C81 (10)
| | | |
| | | \---------------------------------- C18 (25)
| | |
| | \------------------------------------------- C16 (8)
| |
| | /--------- C58 (11)
| | |
| | |--------- C107 (14)
| | |
| | |--------- C115 (15)
| | /--100--+
| | | |--------- C114 (16)
| | | |
| /---96--+ | |--------- C117 (19)
| | | /---100--+ |
| | | | | \--------- C130 (23)
| | | | |
| | | | \----------------- C61 (17)
| | | /--100--+
| | | | |-------------------------- C11 (22)
| | | | |
\---100--+ | /---100--+ \-------------------------- C131 (24)
| | | |
| |---100--+ \---------------------------------- C136 (27)
| | |
| | \------------------------------------------- C25 (29)
| |
| \---------------------------------------------------- C124 (21)
|
\------------------------------------------------------------ C60 (13)
Phylogram (based on average branch lengths):
/- C65 (1)
|
|- C67 (3)
|
| /--- C10 (2)
| /-+
| | \- C9 (4)
| |
| |- C8 (18)
| /-+
| | |-- C15 (20)
| | |
| | \-- C7 (28)
| /-+
| | | /--- C80 (9)
| | | /-+
| | | | \- C77 (26)
| | \-+
| | | /- C87 (12)
| | \----+
| | \- C84 (30)
| |
| /--+- C73 (5)
| | |
| | |-- C72 (6)
+ | |
| | |-- C74 (7)
| /--+ |
| | | |---- C81 (10)
| | | |
| | | \--- C18 (25)
| | |
| | \- C16 (8)
| |
| | /-- C58 (11)
| | |
| | |- C107 (14)
| | |
| | |- C115 (15)
| | /---+
| | | |- C114 (16)
| | | |
| /---+ | |- C117 (19)
| | | /--+ |
| | | | | \- C130 (23)
| | | | |
| | | | \- C61 (17)
| | | /----------+
| | | | |-- C11 (22)
| | | | |
\---------+ | /----------------+ \- C131 (24)
| | | |
| |------------------+ \----- C136 (27)
| | |
| | \---------------------- C25 (29)
| |
| \-- C124 (21)
|
\--- C60 (13)
|----------| 0.010 expected changes per site
Calculating tree probabilities...
Credible sets of trees (3002 trees sampled):
50 % credible set contains 1501 trees
90 % credible set contains 2702 trees
95 % credible set contains 2852 trees
99 % credible set contains 2972 trees
Exiting mrbayes block
Reached end of file
Tasks completed, exiting program because mode is noninteractive
To return control to the command line after completion of file processing,
set mode to interactive with 'mb -i <filename>' (i is for interactive)
or use 'set mode=interactive'
-- Starting log on Fri Nov 18 14:39:31 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10636_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Sat Nov 19 07:39:04 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10636_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/codeml,DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10636_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 C107 690 sites
reading seq# 2 C114 690 sites
reading seq# 3 C115 690 sites
reading seq# 4 C58 690 sites
reading seq# 5 C8 690 sites
reading seq# 6 C61 690 sites
reading seq# 7 C117 690 sites
reading seq# 8 C60 690 sites
reading seq# 9 C7 690 sites
reading seq#10 C15 690 sites
reading seq#11 C10 690 sites
reading seq#12 C65 690 sites
reading seq#13 C67 690 sites
reading seq#14 C124 690 sites
reading seq#15 C11 690 sites
reading seq#16 C73 690 sites
reading seq#17 C9 690 sites
reading seq#18 C72 690 sites
reading seq#19 C131 690 sites
reading seq#20 C130 690 sites
reading seq#21 C16 690 sites
reading seq#22 C74 690 sites
reading seq#23 C77 690 sites
reading seq#24 C136 690 sites
reading seq#25 C18 690 sites
reading seq#26 C81 690 sites
reading seq#27 C80 690 sites
reading seq#28 C84 690 sites
reading seq#29 C25 690 sites
reading seq#30 C87 690 sitesns = 30 ls = 690
Reading sequences, sequential format..
Reading seq # 1: C107
Reading seq # 2: C114
Reading seq # 3: C115
Reading seq # 4: C58
Reading seq # 5: C8
Reading seq # 6: C61
Reading seq # 7: C117
Reading seq # 8: C60
Reading seq # 9: C7
Reading seq #10: C15
Reading seq #11: C10
Reading seq #12: C65
Reading seq #13: C67
Reading seq #14: C124
Reading seq #15: C11
Reading seq #16: C73
Reading seq #17: C9
Reading seq #18: C72
Reading seq #19: C131
Reading seq #20: C130
Reading seq #21: C16
Reading seq #22: C74
Reading seq #23: C77
Reading seq #24: C136
Reading seq #25: C18
Reading seq #26: C81
Reading seq #27: C80
Reading seq #28: C84
Reading seq #29: C25
Reading seq #30: C87
Sequences read..
Counting site patterns.. 0:00
Compressing, 118 patterns at 230 / 230 sites (100.0%), 0:00
Collecting fpatt[] & pose[], 118 patterns at 230 / 230 sites (100.0%), 0:00
Counting codons..
3480 bytes for distance
115168 bytes for conP
10384 bytes for fhK
5000000 bytes for space
Model 1: NearlyNeutral
TREE # 1
(12, 13, (((((((11, 17), 5, 10, 9), ((27, 23), (30, 28))), 16, 18, 22, 26, 25), 21), (((((4, 1, 3, 2, 7, 20), 6), 15, 19), 24), 29), 14), 8)); MP score: 105
921344 bytes for conP, adjusted
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
33
0.026610 0.046222 0.033083 0.046553 0.092684 0.019344 0.018053 0.037676 0.094784 0.072637 0.079443 0.082720 0.082907 0.037084 0.083835 0.093513 0.090810 0.041653 0.044651 0.051706 0.093301 0.031939 0.099327 0.038884 0.023207 0.095746 0.082857 0.100973 0.090184 0.044037 0.027429 0.032844 0.018582 0.070696 0.092809 0.044087 0.096533 0.089528 0.107182 0.041862 0.103462 0.021954 0.073126 0.041781 0.058196 0.300000 0.795279 0.392069
ntime & nrate & np: 45 2 48
Bounds (np=48):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 0.999990 1.000000
Qfactor_NS = 12.066481
np = 48
lnL0 = -2046.583511
Iterating by ming2
Initial: fx= 2046.583511
x= 0.02661 0.04622 0.03308 0.04655 0.09268 0.01934 0.01805 0.03768 0.09478 0.07264 0.07944 0.08272 0.08291 0.03708 0.08383 0.09351 0.09081 0.04165 0.04465 0.05171 0.09330 0.03194 0.09933 0.03888 0.02321 0.09575 0.08286 0.10097 0.09018 0.04404 0.02743 0.03284 0.01858 0.07070 0.09281 0.04409 0.09653 0.08953 0.10718 0.04186 0.10346 0.02195 0.07313 0.04178 0.05820 0.30000 0.79528 0.39207
1 h-m-p 0.0000 0.0001 1119.4610 ++ 1900.753421 m 0.0001 53 | 0/48
2 h-m-p 0.0000 0.0000 66121.8732 ++ 1899.819936 m 0.0000 104 | 0/48
3 h-m-p 0.0000 0.0000 64178.0592 ++ 1890.742778 m 0.0000 155 | 1/48
4 h-m-p 0.0000 0.0000 4893.0244 ++ 1865.390865 m 0.0000 206 | 2/48
5 h-m-p 0.0000 0.0000 8999.8356 ++ 1824.680974 m 0.0000 257 | 3/48
6 h-m-p 0.0000 0.0000 166730.8842 ++ 1818.491980 m 0.0000 308 | 4/48
7 h-m-p 0.0000 0.0000 5871.8825 ++ 1807.282410 m 0.0000 359 | 5/48
8 h-m-p 0.0000 0.0000 3275.5460 ++ 1787.682018 m 0.0000 410 | 6/48
9 h-m-p 0.0000 0.0000 3909.0147 ++ 1737.101544 m 0.0000 461 | 7/48
10 h-m-p 0.0000 0.0000 10488.5634 ++ 1708.762498 m 0.0000 512 | 8/48
11 h-m-p 0.0000 0.0000 27858.5493 ++ 1701.430577 m 0.0000 563 | 9/48
12 h-m-p 0.0000 0.0000 89430.5007 ++ 1691.888018 m 0.0000 614 | 10/48
13 h-m-p 0.0000 0.0000 142598.1128 ++ 1685.992241 m 0.0000 665 | 11/48
14 h-m-p 0.0000 0.0000 23776.0614 ++ 1682.085324 m 0.0000 716 | 12/48
15 h-m-p 0.0000 0.0000 6306.1851 ++ 1680.693333 m 0.0000 767 | 13/48
16 h-m-p 0.0000 0.0000 8007.9397 ++ 1674.254212 m 0.0000 818 | 14/48
17 h-m-p 0.0000 0.0000 3534.5503 ++ 1670.997586 m 0.0000 869 | 15/48
18 h-m-p 0.0000 0.0000 3240.7765 ++ 1670.958361 m 0.0000 920 | 16/48
19 h-m-p 0.0000 0.0002 504.3227 ++YYYCYYCCC 1652.205980 8 0.0002 985 | 16/48
20 h-m-p 0.0000 0.0002 439.5154 +YYYYYYC 1639.909651 6 0.0002 1043 | 16/48
21 h-m-p 0.0000 0.0001 412.9375 +YYCCC 1635.468699 4 0.0001 1101 | 16/48
22 h-m-p 0.0000 0.0001 474.1793 +CYC 1631.925010 2 0.0001 1156 | 16/48
23 h-m-p 0.0000 0.0000 270.4269 ++ 1631.194247 m 0.0000 1207 | 15/48
24 h-m-p 0.0000 0.0000 297.8825
h-m-p: 0.00000000e+00 0.00000000e+00 2.97882521e+02 1631.194247
.. | 15/48
25 h-m-p 0.0000 0.0001 165192.7581 --CYCYYYYYYC 1624.975790 9 0.0000 1319 | 15/48
26 h-m-p 0.0000 0.0001 2409.6631 CYCCC 1622.824062 4 0.0000 1378 | 15/48
27 h-m-p 0.0000 0.0001 447.2684 +YYCCC 1617.721433 4 0.0001 1436 | 15/48
28 h-m-p 0.0000 0.0000 694.1610 ++ 1616.067763 m 0.0000 1487 | 16/48
29 h-m-p 0.0000 0.0000 1002.9691 +YYYYC 1611.390750 4 0.0000 1543 | 16/48
30 h-m-p 0.0000 0.0000 1862.1870 YCYCCC 1610.894868 5 0.0000 1602 | 16/48
31 h-m-p 0.0000 0.0000 1276.7123 YCYCCC 1609.582719 5 0.0000 1661 | 16/48
32 h-m-p 0.0000 0.0001 312.1991 +YYCCC 1607.508155 4 0.0001 1719 | 16/48
33 h-m-p 0.0000 0.0001 2114.9839 +YCCC 1603.679315 3 0.0000 1776 | 16/48
34 h-m-p 0.0000 0.0001 1507.6444 YCCCC 1599.994953 4 0.0000 1834 | 16/48
35 h-m-p 0.0000 0.0001 751.5078 +YYCCC 1597.820571 4 0.0000 1892 | 16/48
36 h-m-p 0.0000 0.0001 788.7829 +YCCCC 1596.118449 4 0.0000 1951 | 16/48
37 h-m-p 0.0000 0.0001 1460.7575 CCC 1594.945573 2 0.0000 2006 | 16/48
38 h-m-p 0.0000 0.0003 552.4837 YCCC 1591.943674 3 0.0001 2062 | 16/48
39 h-m-p 0.0000 0.0001 817.4569 +YYCCC 1588.393956 4 0.0001 2120 | 16/48
40 h-m-p 0.0000 0.0001 1533.9541 YCCC 1585.988474 3 0.0000 2176 | 16/48
41 h-m-p 0.0000 0.0001 618.6664 +YYCCC 1584.288072 4 0.0001 2234 | 16/48
42 h-m-p 0.0000 0.0002 391.9876 CCC 1583.477699 2 0.0001 2289 | 16/48
43 h-m-p 0.0001 0.0008 353.8772 +YCCCCC 1579.839392 5 0.0003 2350 | 16/48
44 h-m-p 0.0000 0.0002 742.4174 YCCC 1577.722130 3 0.0001 2406 | 16/48
45 h-m-p 0.0001 0.0003 420.3079 YCCCCC 1575.820279 5 0.0001 2466 | 16/48
46 h-m-p 0.0001 0.0003 238.1823 CC 1575.454773 1 0.0001 2519 | 16/48
47 h-m-p 0.0002 0.0009 32.7790 YC 1575.419155 1 0.0001 2571 | 16/48
48 h-m-p 0.0001 0.0027 25.1388 CC 1575.393005 1 0.0001 2624 | 16/48
49 h-m-p 0.0002 0.0013 17.1207 CC 1575.385759 1 0.0001 2677 | 16/48
50 h-m-p 0.0003 0.0075 4.4470 YC 1575.380392 1 0.0002 2729 | 16/48
51 h-m-p 0.0002 0.0051 6.0203 YC 1575.359559 1 0.0003 2781 | 16/48
52 h-m-p 0.0002 0.0034 12.8612 CC 1575.301258 1 0.0002 2834 | 16/48
53 h-m-p 0.0002 0.0022 17.7080 +YYCCCC 1574.805519 5 0.0008 2894 | 16/48
54 h-m-p 0.0001 0.0013 149.5102 +CYCCC 1571.097954 4 0.0007 2954 | 16/48
55 h-m-p 0.0000 0.0002 493.2135 YCCCC 1569.645432 4 0.0001 3012 | 16/48
56 h-m-p 0.0001 0.0004 196.5957 YCCCCC 1568.508145 5 0.0001 3072 | 16/48
57 h-m-p 0.0002 0.0012 46.1717 YCCC 1568.377010 3 0.0001 3128 | 16/48
58 h-m-p 0.0002 0.0010 34.4486 CC 1568.352260 1 0.0001 3181 | 16/48
59 h-m-p 0.0066 1.4343 0.3090 +++YCYCCC 1562.708892 5 0.9688 3244 | 16/48
60 h-m-p 0.4119 2.0593 0.3524 +YCCC 1558.957641 3 1.1886 3333 | 16/48
61 h-m-p 0.4075 2.0375 0.3606 YCCC 1557.311975 3 0.8379 3421 | 16/48
62 h-m-p 0.7831 3.9156 0.1924 +YCCCC 1555.242545 4 2.0602 3512 | 16/48
63 h-m-p 1.0407 5.2034 0.1859 CYC 1554.542362 2 1.1839 3598 | 16/48
64 h-m-p 1.6000 8.0000 0.1275 CCC 1554.170409 2 1.7562 3685 | 16/48
65 h-m-p 1.6000 8.0000 0.0852 CC 1554.040653 1 1.9236 3770 | 16/48
66 h-m-p 1.6000 8.0000 0.0470 CYC 1553.983783 2 1.5375 3856 | 16/48
67 h-m-p 1.6000 8.0000 0.0190 CC 1553.930217 1 2.1670 3941 | 16/48
68 h-m-p 1.6000 8.0000 0.0038 CCC 1553.890112 2 2.1025 4028 | 16/48
69 h-m-p 0.9411 8.0000 0.0085 CC 1553.881633 1 1.4591 4113 | 16/48
70 h-m-p 1.6000 8.0000 0.0043 C 1553.878846 0 1.6290 4196 | 16/48
71 h-m-p 0.9610 8.0000 0.0073 YC 1553.877687 1 1.5675 4280 | 16/48
72 h-m-p 1.6000 8.0000 0.0021 CC 1553.876958 1 2.2978 4365 | 16/48
73 h-m-p 1.2429 8.0000 0.0038 +CC 1553.875772 1 4.4567 4451 | 16/48
74 h-m-p 1.6000 8.0000 0.0027 YC 1553.874426 1 3.5699 4535 | 16/48
75 h-m-p 1.6000 8.0000 0.0015 ++ 1553.869969 m 8.0000 4618 | 16/48
76 h-m-p 1.6000 8.0000 0.0026 +C 1553.854501 0 6.5315 4702 | 16/48
77 h-m-p 1.6000 8.0000 0.0019 CCC 1553.834210 2 2.4880 4789 | 16/48
78 h-m-p 0.7654 8.0000 0.0061 +YC 1553.828158 1 1.9572 4874 | 16/48
79 h-m-p 1.6000 8.0000 0.0033 YC 1553.824788 1 2.8358 4958 | 16/48
80 h-m-p 1.6000 8.0000 0.0019 YC 1553.820788 1 3.4827 5042 | 16/48
81 h-m-p 1.6000 8.0000 0.0003 YC 1553.819095 1 2.6855 5126 | 16/48
82 h-m-p 0.6621 8.0000 0.0011 +CC 1553.818164 1 2.3444 5212 | 16/48
83 h-m-p 1.6000 8.0000 0.0013 C 1553.817882 0 1.8096 5295 | 16/48
84 h-m-p 1.6000 8.0000 0.0005 C 1553.817838 0 1.4982 5378 | 16/48
85 h-m-p 1.1175 8.0000 0.0006 C 1553.817831 0 1.3433 5461 | 16/48
86 h-m-p 1.6000 8.0000 0.0001 C 1553.817830 0 1.4642 5544 | 16/48
87 h-m-p 1.6000 8.0000 0.0000 C 1553.817829 0 1.2892 5627 | 16/48
88 h-m-p 1.6000 8.0000 0.0000 C 1553.817829 0 2.4471 5710 | 16/48
89 h-m-p 1.6000 8.0000 0.0000 C 1553.817829 0 1.9596 5793 | 16/48
90 h-m-p 1.6000 8.0000 0.0000 Y 1553.817829 0 0.7988 5876 | 16/48
91 h-m-p 0.5534 8.0000 0.0000 Y 1553.817829 0 1.1439 5959 | 16/48
92 h-m-p 1.6000 8.0000 0.0000 +Y 1553.817829 0 4.5872 6043 | 16/48
93 h-m-p 1.3679 8.0000 0.0000 C 1553.817829 0 0.3420 6126 | 16/48
94 h-m-p 0.5232 8.0000 0.0000 -------------C 1553.817829 0 0.0000 6222
Out..
lnL = -1553.817829
6223 lfun, 18669 eigenQcodon, 560070 P(t)
end of tree file.
Time used: 3:22
Model 2: PositiveSelection
TREE # 1
(12, 13, (((((((11, 17), 5, 10, 9), ((27, 23), (30, 28))), 16, 18, 22, 26, 25), 21), (((((4, 1, 3, 2, 7, 20), 6), 15, 19), 24), 29), 14), 8)); MP score: 105
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
33
0.092755 0.104879 0.094762 0.046323 0.076748 0.028851 0.108577 0.015144 0.019363 0.069709 0.038016 0.051583 0.022208 0.073716 0.022458 0.077728 0.102981 0.102756 0.061886 0.106283 0.104203 0.092015 0.015611 0.033754 0.106540 0.023588 0.039181 0.036264 0.057657 0.058184 0.107912 0.097698 0.102534 0.042125 0.050471 0.074856 0.076181 0.081832 0.090962 0.079313 0.094701 0.052971 0.072946 0.030652 0.055624 3.346176 1.564569 0.119126 0.103146 1.360980
ntime & nrate & np: 45 3 50
Bounds (np=50):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 99.000000 99.000000 1.000000 999.000000
Qfactor_NS = 5.469179
np = 50
lnL0 = -1875.319304
Iterating by ming2
Initial: fx= 1875.319304
x= 0.09275 0.10488 0.09476 0.04632 0.07675 0.02885 0.10858 0.01514 0.01936 0.06971 0.03802 0.05158 0.02221 0.07372 0.02246 0.07773 0.10298 0.10276 0.06189 0.10628 0.10420 0.09202 0.01561 0.03375 0.10654 0.02359 0.03918 0.03626 0.05766 0.05818 0.10791 0.09770 0.10253 0.04212 0.05047 0.07486 0.07618 0.08183 0.09096 0.07931 0.09470 0.05297 0.07295 0.03065 0.05562 3.34618 1.56457 0.11913 0.10315 1.36098
1 h-m-p 0.0000 0.0002 863.4979 +++ 1754.852687 m 0.0002 56 | 0/50
2 h-m-p 0.0000 0.0000 41666.5132 +YYYCC 1751.616530 4 0.0000 115 | 0/50
3 h-m-p 0.0000 0.0000 365082.1151 +YYCCC 1750.641447 4 0.0000 175 | 0/50
4 h-m-p 0.0000 0.0000 42946.7525 +YYYYCCCC 1745.165046 7 0.0000 239 | 0/50
5 h-m-p 0.0000 0.0000 13156.3546 ++ 1740.656822 m 0.0000 292 | 0/50
6 h-m-p 0.0000 0.0000 6467.6036 ++ 1738.643136 m 0.0000 345 | 0/50
7 h-m-p 0.0000 0.0000 8590.2134 ++ 1731.968547 m 0.0000 398 | 1/50
8 h-m-p 0.0000 0.0000 8117.8267 ++ 1720.133331 m 0.0000 451 | 1/50
9 h-m-p -0.0000 -0.0000 251389.4697
h-m-p: -1.67931915e-24 -8.39659577e-24 2.51389470e+05 1720.133331
.. | 1/50
10 h-m-p 0.0000 0.0000 2522.8883 ++ 1712.747346 m 0.0000 554 | 2/50
11 h-m-p 0.0000 0.0000 1158.7238 +YYCYYCCC 1706.011637 7 0.0000 618 | 2/50
12 h-m-p 0.0000 0.0000 1171.8473 ++ 1700.668367 m 0.0000 671 | 3/50
13 h-m-p 0.0000 0.0000 6280.8487 ++ 1687.486725 m 0.0000 724 | 4/50
14 h-m-p 0.0000 0.0000 82611.0069 ++ 1683.907758 m 0.0000 777 | 5/50
15 h-m-p 0.0000 0.0000 149780.4445 ++ 1658.981470 m 0.0000 830 | 5/50
16 h-m-p 0.0000 0.0000 55979.2448 ++ 1632.053230 m 0.0000 883 | 6/50
17 h-m-p 0.0000 0.0000 4733.1760 ++ 1629.303182 m 0.0000 936 | 7/50
18 h-m-p 0.0000 0.0000 24544.6387 ++ 1618.977090 m 0.0000 989 | 8/50
19 h-m-p 0.0000 0.0000 32727.2272 ++ 1608.290480 m 0.0000 1042 | 8/50
20 h-m-p -0.0000 -0.0000 8650219.7856
h-m-p: -2.42804713e-26 -1.21402357e-25 8.65021979e+06 1608.290480
.. | 8/50
21 h-m-p 0.0000 0.0000 185465.4304 -CCYYCYYCCC 1602.206657 9 0.0000 1161 | 8/50
22 h-m-p 0.0000 0.0000 1030.7646 ++ 1594.650841 m 0.0000 1214 | 9/50
23 h-m-p 0.0000 0.0000 901.4914 ++ 1592.169382 m 0.0000 1267 | 10/50
24 h-m-p 0.0000 0.0000 6785.8437 ++ 1588.876994 m 0.0000 1320 | 11/50
25 h-m-p 0.0000 0.0000 16204698.5210
h-m-p: 4.58291108e-12 2.29145554e-11 1.62046985e+07 1588.876994
.. | 11/50
26 h-m-p 0.0000 0.0000 544.1609 ++ 1588.658619 m 0.0000 1423 | 12/50
27 h-m-p 0.0000 0.0000 3838.6292 ++ 1581.450571 m 0.0000 1476 | 12/50
28 h-m-p -0.0000 -0.0000 36954.6134
h-m-p: -1.07208855e-23 -5.36044277e-23 3.69546134e+04 1581.450571
.. | 12/50
29 h-m-p 0.0000 0.0000 517.5703 ++ 1575.136988 m 0.0000 1579 | 13/50
30 h-m-p 0.0000 0.0000 2942.3247 ++ 1572.516408 m 0.0000 1632 | 14/50
31 h-m-p 0.0000 0.0000 1890.0410 ++ 1571.279836 m 0.0000 1685 | 15/50
32 h-m-p 0.0000 0.0000 1490.7939 ++ 1570.950248 m 0.0000 1738 | 15/50
33 h-m-p 0.0000 0.0000 2455.4426
h-m-p: 7.00999762e-24 3.50499881e-23 2.45544257e+03 1570.950248
.. | 15/50
34 h-m-p 0.0000 0.0000 370.4856 ++ 1569.980537 m 0.0000 1841 | 16/50
35 h-m-p 0.0000 0.0000 490.4958 ++ 1569.862630 m 0.0000 1894 | 16/50
36 h-m-p -0.0000 -0.0000 357.5336
h-m-p: -4.95932579e-24 -2.47966289e-23 3.57533626e+02 1569.862630
.. | 16/50
37 h-m-p 0.0000 0.0001 314.2727 +CCYCC 1564.308674 4 0.0001 2006 | 16/50
38 h-m-p 0.0000 0.0000 388.6786 +YCCC 1563.198927 3 0.0000 2065 | 16/50
39 h-m-p 0.0000 0.0000 279.6221 ++ 1562.821474 m 0.0000 2118 | 17/50
40 h-m-p 0.0000 0.0003 127.9019 +YYYC 1562.326837 3 0.0001 2175 | 17/50
41 h-m-p 0.0000 0.0001 217.2321 CCCC 1562.108076 3 0.0000 2234 | 17/50
42 h-m-p 0.0000 0.0001 220.7672 CCCC 1561.911871 3 0.0000 2293 | 17/50
43 h-m-p 0.0000 0.0005 215.6520 YC 1561.543853 1 0.0001 2347 | 17/50
44 h-m-p 0.0000 0.0002 99.0595 CCCC 1561.424915 3 0.0001 2406 | 17/50
45 h-m-p 0.0001 0.0006 68.1690 CCC 1561.330606 2 0.0001 2463 | 17/50
46 h-m-p 0.0001 0.0005 103.3740 CYC 1561.247849 2 0.0001 2519 | 17/50
47 h-m-p 0.0001 0.0009 60.6599 CYC 1561.184134 2 0.0001 2575 | 17/50
48 h-m-p 0.0001 0.0008 44.7080 YCC 1561.152611 2 0.0001 2631 | 17/50
49 h-m-p 0.0000 0.0013 99.7324 +YCCC 1560.941140 3 0.0003 2690 | 17/50
50 h-m-p 0.0001 0.0013 271.6658 +YCCC 1560.424553 3 0.0003 2749 | 17/50
51 h-m-p 0.0000 0.0002 1091.2491 YCCCC 1559.545815 4 0.0001 2809 | 17/50
52 h-m-p 0.0001 0.0003 624.6799 YCCC 1558.954336 3 0.0001 2867 | 17/50
53 h-m-p 0.0000 0.0002 1415.3100 CCCC 1558.286651 3 0.0001 2926 | 17/50
54 h-m-p 0.0001 0.0004 1357.3156 YCCC 1556.859142 3 0.0001 2984 | 17/50
55 h-m-p 0.0000 0.0002 543.9534 CCCC 1556.651501 3 0.0001 3043 | 17/50
56 h-m-p 0.0001 0.0004 559.5459 YC 1556.301963 1 0.0001 3097 | 17/50
57 h-m-p 0.0001 0.0005 177.9107 YYC 1556.203688 2 0.0001 3152 | 16/50
58 h-m-p 0.0001 0.0015 98.3903 YCCC 1555.304547 3 0.0003 3210 | 16/50
59 h-m-p 0.0000 0.0001 74.1928 CC 1555.251427 1 0.0000 3265 | 16/50
60 h-m-p 0.0001 0.0014 22.0527 YC 1555.240103 1 0.0001 3319 | 16/50
61 h-m-p 0.0002 0.0090 5.8098 CC 1555.236107 1 0.0002 3374 | 16/50
62 h-m-p 0.0001 0.0111 10.9906 +CC 1555.225448 1 0.0004 3430 | 16/50
63 h-m-p 0.0002 0.0047 17.6534 YC 1555.218985 1 0.0002 3484 | 16/50
64 h-m-p 0.0002 0.0057 15.9254 +CC 1555.198579 1 0.0006 3540 | 16/50
65 h-m-p 0.0001 0.0008 102.9595 YCC 1555.160240 2 0.0002 3596 | 16/50
66 h-m-p 0.0008 0.0041 9.4314 YC 1555.158379 1 0.0001 3650 | 16/50
67 h-m-p 0.0001 0.0070 8.5482 +++ 1554.996484 m 0.0070 3704 | 17/50
68 h-m-p 0.0000 0.0001 10343.8531 YCC 1554.893496 2 0.0000 3760 | 17/50
69 h-m-p 0.0010 0.0050 5.3569 -CC 1554.892898 1 0.0001 3816 | 17/50
70 h-m-p 0.0038 1.9091 0.3044 +++YCCC 1554.613664 3 0.4374 3877 | 17/50
71 h-m-p 0.0649 0.9733 2.0525 +YCC 1554.364163 2 0.1785 3967 | 17/50
72 h-m-p 1.2248 8.0000 0.2991 CCC 1554.188211 2 1.5711 4024 | 17/50
73 h-m-p 1.6000 8.0000 0.1682 CC 1554.055602 1 2.3311 4112 | 17/50
74 h-m-p 1.6000 8.0000 0.1679 CYC 1553.954172 2 2.1235 4201 | 17/50
75 h-m-p 1.2498 8.0000 0.2852 CCC 1553.894402 2 1.8874 4291 | 17/50
76 h-m-p 1.6000 8.0000 0.2666 CC 1553.857536 1 1.8466 4379 | 17/50
77 h-m-p 1.6000 8.0000 0.3030 CCC 1553.833819 2 1.3005 4469 | 17/50
78 h-m-p 1.3107 8.0000 0.3007 CC 1553.821019 1 1.5051 4557 | 17/50
79 h-m-p 1.6000 8.0000 0.1674 CC 1553.818193 1 1.2955 4645 | 17/50
80 h-m-p 1.6000 8.0000 0.0589 YC 1553.817852 1 1.0333 4732 | 17/50
81 h-m-p 1.6000 8.0000 0.0200 Y 1553.817831 0 0.9338 4818 | 17/50
82 h-m-p 1.6000 8.0000 0.0011 Y 1553.817830 0 0.9704 4904 | 17/50
83 h-m-p 1.6000 8.0000 0.0002 Y 1553.817829 0 1.1694 4990 | 17/50
84 h-m-p 0.6918 8.0000 0.0003 C 1553.817829 0 1.0803 5076 | 17/50
85 h-m-p 1.6000 8.0000 0.0001 C 1553.817829 0 1.6463 5162 | 17/50
86 h-m-p 1.6000 8.0000 0.0001 --------Y 1553.817829 0 0.0000 5256
Out..
lnL = -1553.817829
5257 lfun, 21028 eigenQcodon, 709695 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) = -1562.800839 S = -1490.185771 -92.385507
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 118 patterns 7:38
did 20 / 118 patterns 7:39
did 30 / 118 patterns 7:39
did 40 / 118 patterns 7:39
did 50 / 118 patterns 7:39
did 60 / 118 patterns 7:39
did 70 / 118 patterns 7:39
did 80 / 118 patterns 7:39
did 90 / 118 patterns 7:39
did 100 / 118 patterns 7:39
did 110 / 118 patterns 7:39
did 118 / 118 patterns 7:39end of tree file.
Time used: 7:39
Model 7: beta
TREE # 1
(12, 13, (((((((11, 17), 5, 10, 9), ((27, 23), (30, 28))), 16, 18, 22, 26, 25), 21), (((((4, 1, 3, 2, 7, 20), 6), 15, 19), 24), 29), 14), 8)); MP score: 105
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
33
0.048504 0.013042 0.024031 0.031379 0.106900 0.012523 0.042633 0.025057 0.050708 0.082802 0.092431 0.109440 0.105562 0.083275 0.108344 0.034557 0.061764 0.019997 0.064371 0.091204 0.107360 0.099492 0.057788 0.082467 0.033382 0.051988 0.102231 0.092029 0.053443 0.072521 0.059357 0.035189 0.054885 0.103352 0.013765 0.053533 0.073647 0.056130 0.070865 0.089197 0.060053 0.047238 0.032384 0.049654 0.077712 3.346172 1.047583 1.691980
ntime & nrate & np: 45 1 48
Bounds (np=48):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 99.000000 99.000000
Qfactor_NS = 5.862733
np = 48
lnL0 = -1939.934293
Iterating by ming2
Initial: fx= 1939.934293
x= 0.04850 0.01304 0.02403 0.03138 0.10690 0.01252 0.04263 0.02506 0.05071 0.08280 0.09243 0.10944 0.10556 0.08327 0.10834 0.03456 0.06176 0.02000 0.06437 0.09120 0.10736 0.09949 0.05779 0.08247 0.03338 0.05199 0.10223 0.09203 0.05344 0.07252 0.05936 0.03519 0.05489 0.10335 0.01376 0.05353 0.07365 0.05613 0.07086 0.08920 0.06005 0.04724 0.03238 0.04965 0.07771 3.34617 1.04758 1.69198
1 h-m-p 0.0000 0.0001 983.9889 ++ 1866.350604 m 0.0001 53 | 1/48
2 h-m-p 0.0000 0.0000 7680.0637 ++ 1864.603071 m 0.0000 104 | 2/48
3 h-m-p 0.0000 0.0000 10184.4913 ++ 1831.458086 m 0.0000 155 | 3/48
4 h-m-p 0.0000 0.0000 3400.7277 ++ 1797.655898 m 0.0000 206 | 3/48
5 h-m-p 0.0000 0.0000 6843.3189 +CCYC 1778.486831 3 0.0000 264 | 3/48
6 h-m-p 0.0000 0.0000 2357.6705 +YYYCYCCC 1760.640089 7 0.0000 326 | 3/48
7 h-m-p 0.0000 0.0000 3303.3988 ++ 1755.007164 m 0.0000 377 | 3/48
8 h-m-p 0.0000 0.0000 7681.8274 ++ 1749.545192 m 0.0000 428 | 4/48
9 h-m-p 0.0000 0.0000 4192.1652 +YYCCC 1746.608987 4 0.0000 486 | 4/48
10 h-m-p 0.0000 0.0000 3028.4397 +YYYYCC 1741.807137 5 0.0000 544 | 4/48
11 h-m-p 0.0000 0.0000 3391.4517 +YYYCCC 1734.872339 5 0.0000 603 | 4/48
12 h-m-p 0.0000 0.0000 11318.2876 +YCCC 1731.581757 3 0.0000 660 | 4/48
13 h-m-p 0.0000 0.0000 16079.6697 ++ 1717.877274 m 0.0000 711 | 5/48
14 h-m-p 0.0000 0.0000 2982.9946 +CYYYYYC 1701.286864 6 0.0000 770 | 5/48
15 h-m-p 0.0000 0.0000 7392.0725 ++ 1698.846509 m 0.0000 821 | 6/48
16 h-m-p 0.0000 0.0000 3931.7044 ++ 1691.275864 m 0.0000 872 | 7/48
17 h-m-p 0.0000 0.0000 1650.6469 ++ 1680.437121 m 0.0000 923 | 8/48
18 h-m-p 0.0000 0.0000 4112.9670 ++ 1660.345635 m 0.0000 974 | 9/48
19 h-m-p 0.0000 0.0000 4073.1840 ++ 1658.171494 m 0.0000 1025 | 10/48
20 h-m-p 0.0000 0.0000 3442.1531 ++ 1638.254430 m 0.0000 1076 | 11/48
21 h-m-p 0.0000 0.0000 3922.5098 ++ 1631.092791 m 0.0000 1127 | 12/48
22 h-m-p 0.0000 0.0000 11361.6111 ++ 1627.762589 m 0.0000 1178 | 13/48
23 h-m-p 0.0000 0.0000 10548.9869 ++ 1625.170771 m 0.0000 1229 | 14/48
24 h-m-p 0.0000 0.0000 953.8765 ++ 1624.484570 m 0.0000 1280 | 15/48
25 h-m-p 0.0000 0.0000 314.9646 ++ 1621.672156 m 0.0000 1331 | 16/48
26 h-m-p 0.0000 0.0001 577.3679 +CYYCYCCC 1615.773850 7 0.0001 1394 | 16/48
27 h-m-p 0.0000 0.0001 315.5392 +YYCCCC 1614.891804 5 0.0000 1454 | 15/48
28 h-m-p 0.0000 0.0000 1998.6034 ++ 1613.394453 m 0.0000 1505 | 15/48
29 h-m-p 0.0000 0.0000 6624.7538
h-m-p: 1.29793828e-23 6.48969141e-23 6.62475384e+03 1613.394453
.. | 15/48
30 h-m-p 0.0000 0.0001 2687.7064 YYYYC 1601.335501 4 0.0000 1608 | 15/48
31 h-m-p 0.0000 0.0000 440.4266 ++ 1599.213890 m 0.0000 1659 | 16/48
32 h-m-p 0.0000 0.0001 518.5234 +YCYCCC 1594.664594 5 0.0001 1720 | 16/48
33 h-m-p 0.0000 0.0000 439.8243 +YYCYC 1593.307408 4 0.0000 1777 | 16/48
34 h-m-p 0.0000 0.0000 994.8134 +YYCCCC 1590.806304 5 0.0000 1837 | 16/48
35 h-m-p 0.0000 0.0002 1057.4632 +CYYCCC 1580.140284 5 0.0001 1897 | 16/48
36 h-m-p 0.0000 0.0001 979.9479 YCCCCC 1575.133816 5 0.0001 1957 | 16/48
37 h-m-p 0.0000 0.0001 685.5809 CCCC 1573.580967 3 0.0000 2014 | 16/48
38 h-m-p 0.0001 0.0003 191.4148 CCC 1573.074560 2 0.0001 2069 | 16/48
39 h-m-p 0.0000 0.0003 246.5218 CCCC 1572.419755 3 0.0001 2126 | 16/48
40 h-m-p 0.0000 0.0002 196.7331 CCCC 1572.099505 3 0.0000 2183 | 16/48
41 h-m-p 0.0000 0.0002 139.4206 CYC 1571.973415 2 0.0000 2237 | 16/48
42 h-m-p 0.0001 0.0005 66.7535 CCC 1571.902055 2 0.0001 2292 | 16/48
43 h-m-p 0.0001 0.0006 76.0971 YC 1571.766612 1 0.0001 2344 | 16/48
44 h-m-p 0.0000 0.0003 245.0133 YC 1571.457664 1 0.0001 2396 | 16/48
45 h-m-p 0.0001 0.0008 270.6741 +YYCC 1570.383115 3 0.0003 2452 | 16/48
46 h-m-p 0.0000 0.0002 1675.0425 YCCCC 1568.517668 4 0.0001 2510 | 16/48
47 h-m-p 0.0000 0.0002 2042.9441 +YCYCCC 1565.845367 5 0.0001 2570 | 16/48
48 h-m-p 0.0000 0.0001 7485.8259 CYCCCC 1563.950945 5 0.0000 2630 | 16/48
49 h-m-p 0.0000 0.0001 1261.7023 CYC 1563.513929 2 0.0000 2684 | 16/48
50 h-m-p 0.0000 0.0001 336.8107 CCCC 1563.321558 3 0.0000 2741 | 16/48
51 h-m-p 0.0001 0.0004 89.0479 YCC 1563.260242 2 0.0001 2795 | 16/48
52 h-m-p 0.0001 0.0008 75.2360 CC 1563.193058 1 0.0001 2848 | 16/48
53 h-m-p 0.0001 0.0003 83.6602 YYC 1563.158844 2 0.0000 2901 | 16/48
54 h-m-p 0.0001 0.0007 45.8220 YC 1563.143726 1 0.0000 2953 | 16/48
55 h-m-p 0.0001 0.0029 14.1623 CC 1563.126345 1 0.0002 3006 | 16/48
56 h-m-p 0.0003 0.0022 12.6259 YC 1563.116196 1 0.0002 3058 | 16/48
57 h-m-p 0.0001 0.0189 17.2209 +++YCYCCC 1562.109435 5 0.0110 3120 | 16/48
58 h-m-p 0.0000 0.0002 3456.7282 YCCC 1560.962790 3 0.0001 3176 | 16/48
59 h-m-p 0.0000 0.0002 2358.8401 YCCCC 1560.100907 4 0.0001 3234 | 16/48
60 h-m-p 0.0001 0.0007 955.0182 CYCCC 1558.897972 4 0.0002 3292 | 16/48
61 h-m-p 0.0526 0.2632 3.7611 CYC 1558.669537 2 0.0100 3346 | 16/48
62 h-m-p 0.0450 0.5544 0.8334 +CYYCCC 1555.737440 5 0.3227 3406 | 16/48
63 h-m-p 0.2071 1.0353 0.4246 CCCC 1555.162628 3 0.3502 3495 | 16/48
64 h-m-p 0.5372 3.9945 0.2768 YC 1554.827691 1 0.9791 3579 | 16/48
65 h-m-p 0.5000 2.4998 0.4286 CCC 1554.607517 2 0.5858 3666 | 16/48
66 h-m-p 0.4035 3.2328 0.6223 YCCC 1554.354982 3 0.7452 3754 | 16/48
67 h-m-p 0.3269 1.6346 0.8995 CYCCC 1554.104961 4 0.6013 3844 | 16/48
68 h-m-p 0.3919 1.9597 0.4327 YCCCCC 1553.973146 5 0.4822 3936 | 16/48
69 h-m-p 0.8647 4.3236 0.1790 YC 1553.862155 1 0.5259 4020 | 16/48
70 h-m-p 0.4693 7.2857 0.2006 CC 1553.812428 1 0.4719 4105 | 16/48
71 h-m-p 0.4803 4.4806 0.1971 CCC 1553.776198 2 0.6645 4192 | 16/48
72 h-m-p 1.6000 8.0000 0.0169 YC 1553.770309 1 0.9338 4276 | 16/48
73 h-m-p 1.6000 8.0000 0.0057 YC 1553.768625 1 0.6894 4360 | 16/48
74 h-m-p 1.6000 8.0000 0.0022 C 1553.767813 0 1.4412 4443 | 16/48
75 h-m-p 1.6000 8.0000 0.0008 Y 1553.767697 0 1.2186 4526 | 16/48
76 h-m-p 0.6953 8.0000 0.0014 C 1553.767649 0 1.0191 4609 | 16/48
77 h-m-p 0.9281 8.0000 0.0015 C 1553.767633 0 1.0212 4692 | 16/48
78 h-m-p 1.6000 8.0000 0.0003 Y 1553.767630 0 1.0223 4775 | 16/48
79 h-m-p 1.6000 8.0000 0.0002 Y 1553.767629 0 0.9769 4858 | 16/48
80 h-m-p 1.6000 8.0000 0.0000 Y 1553.767629 0 1.2244 4941 | 16/48
81 h-m-p 0.6834 8.0000 0.0000 Y 1553.767629 0 1.3462 5024 | 16/48
82 h-m-p 0.9081 8.0000 0.0000 C 1553.767629 0 0.7726 5107 | 16/48
83 h-m-p 1.6000 8.0000 0.0000 Y 1553.767629 0 1.0268 5190 | 16/48
84 h-m-p 1.6000 8.0000 0.0000 -C 1553.767629 0 0.1147 5274 | 16/48
85 h-m-p 0.2202 8.0000 0.0000 -------------C 1553.767629 0 0.0000 5370
Out..
lnL = -1553.767629
5371 lfun, 59081 eigenQcodon, 2416950 P(t)
end of tree file.
Time used: 22:11
Model 8: beta&w>1
TREE # 1
(12, 13, (((((((11, 17), 5, 10, 9), ((27, 23), (30, 28))), 16, 18, 22, 26, 25), 21), (((((4, 1, 3, 2, 7, 20), 6), 15, 19), 24), 29), 14), 8)); MP score: 105
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
33
0.048969 0.052701 0.100496 0.066174 0.086453 0.065238 0.015503 0.108711 0.098663 0.051016 0.062533 0.015671 0.095669 0.054398 0.063865 0.098378 0.067547 0.050649 0.097939 0.060385 0.022020 0.029402 0.083237 0.047687 0.089183 0.106543 0.062849 0.014071 0.104265 0.106701 0.038152 0.031292 0.054350 0.033525 0.075062 0.048757 0.050002 0.019953 0.081267 0.082412 0.057729 0.025638 0.027908 0.087514 0.104226 3.327100 0.900000 0.337349 1.541145 1.300000
ntime & nrate & np: 45 2 50
Bounds (np=50):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 0.999990 99.000000 99.000000 999.000000
Qfactor_NS = 6.779128
np = 50
lnL0 = -1883.112385
Iterating by ming2
Initial: fx= 1883.112385
x= 0.04897 0.05270 0.10050 0.06617 0.08645 0.06524 0.01550 0.10871 0.09866 0.05102 0.06253 0.01567 0.09567 0.05440 0.06386 0.09838 0.06755 0.05065 0.09794 0.06038 0.02202 0.02940 0.08324 0.04769 0.08918 0.10654 0.06285 0.01407 0.10427 0.10670 0.03815 0.03129 0.05435 0.03353 0.07506 0.04876 0.05000 0.01995 0.08127 0.08241 0.05773 0.02564 0.02791 0.08751 0.10423 3.32710 0.90000 0.33735 1.54115 1.30000
1 h-m-p 0.0000 0.0001 1330.8693 ++ 1776.763836 m 0.0001 55 | 1/50
2 h-m-p 0.0000 0.0000 1219.6871 ++ 1758.428578 m 0.0000 108 | 2/50
3 h-m-p 0.0000 0.0000 21525.6883 ++ 1748.639440 m 0.0000 161 | 3/50
4 h-m-p 0.0000 0.0000 7949.4068 ++ 1735.509026 m 0.0000 214 | 3/50
5 h-m-p 0.0000 0.0000 783.2143 ++ 1719.797444 m 0.0000 267 | 4/50
6 h-m-p 0.0000 0.0001 845.2466 ++ 1696.902870 m 0.0001 320 | 5/50
7 h-m-p 0.0000 0.0001 1818.4903 ++ 1642.619571 m 0.0001 373 | 6/50
8 h-m-p 0.0000 0.0000 1700.4526 ++ 1639.428562 m 0.0000 426 | 7/50
9 h-m-p 0.0000 0.0000 1774.1615 ++ 1635.914217 m 0.0000 479 | 8/50
10 h-m-p 0.0000 0.0000 7902.8182 ++ 1634.029290 m 0.0000 532 | 9/50
11 h-m-p 0.0000 0.0000 32248.3001 ++ 1627.636651 m 0.0000 585 | 10/50
12 h-m-p 0.0000 0.0000 114398.3913 ++ 1625.824932 m 0.0000 638 | 11/50
13 h-m-p 0.0000 0.0000 5992.9320 ++ 1618.544993 m 0.0000 691 | 12/50
14 h-m-p 0.0000 0.0000 6914.5940 ++ 1617.905339 m 0.0000 744 | 13/50
15 h-m-p 0.0000 0.0000 5227.7662 ++ 1613.517897 m 0.0000 797 | 14/50
16 h-m-p 0.0000 0.0000 3783.3418 ++ 1609.660135 m 0.0000 850 | 15/50
17 h-m-p 0.0000 0.0000 1471.3793 ++ 1605.532941 m 0.0000 903 | 16/50
18 h-m-p 0.0000 0.0002 459.6604 ++ 1584.953611 m 0.0002 956 | 16/50
19 h-m-p 0.0000 0.0000 3931.5479 CYC 1584.712612 2 0.0000 1012 | 16/50
20 h-m-p 0.0000 0.0000 375.2348 YCCCC 1583.777623 4 0.0000 1072 | 16/50
21 h-m-p 0.0000 0.0000 678.1509 +YYCYCC 1580.689441 5 0.0000 1133 | 16/50
22 h-m-p 0.0000 0.0000 820.4823 +YYCCCC 1577.667267 5 0.0000 1195 | 16/50
23 h-m-p 0.0000 0.0001 597.0919 +YYCCCC 1575.318635 5 0.0000 1257 | 16/50
24 h-m-p 0.0000 0.0001 486.8331 YCCCC 1573.226273 4 0.0000 1317 | 16/50
25 h-m-p 0.0000 0.0001 335.8543 +YCYCCC 1571.025443 5 0.0001 1379 | 16/50
26 h-m-p 0.0000 0.0001 173.4252 CCC 1570.844639 2 0.0000 1436 | 16/50
27 h-m-p 0.0000 0.0001 146.7929 CCCC 1570.631288 3 0.0000 1495 | 16/50
28 h-m-p 0.0000 0.0002 113.1028 CCC 1570.384345 2 0.0000 1552 | 16/50
29 h-m-p 0.0001 0.0006 76.4084 YCCC 1569.627680 3 0.0002 1610 | 16/50
30 h-m-p 0.0000 0.0001 191.7229 YCYCCC 1568.905814 5 0.0001 1671 | 16/50
31 h-m-p 0.0000 0.0001 202.7193 CC 1568.515434 1 0.0000 1726 | 16/50
32 h-m-p 0.0000 0.0002 179.3906 CCCC 1567.934251 3 0.0001 1785 | 16/50
33 h-m-p 0.0001 0.0007 92.5691 CCC 1567.399638 2 0.0001 1842 | 16/50
34 h-m-p 0.0002 0.0012 44.9171 CCCC 1566.926145 3 0.0003 1901 | 16/50
35 h-m-p 0.0002 0.0017 87.8650 CCC 1566.450491 2 0.0002 1958 | 16/50
36 h-m-p 0.0004 0.0022 22.1824 CCCC 1566.267803 3 0.0006 2017 | 16/50
37 h-m-p 0.0006 0.0030 19.6779 YYC 1566.164265 2 0.0004 2072 | 16/50
38 h-m-p 0.0001 0.0016 59.4827 +YYCC 1565.837144 3 0.0004 2130 | 16/50
39 h-m-p 0.0002 0.0008 93.9863 YCYCCC 1565.356558 5 0.0003 2191 | 16/50
40 h-m-p 0.0027 0.0136 10.3482 YCYCCC 1564.566126 5 0.0065 2252 | 16/50
41 h-m-p 0.0011 0.0054 32.7468 CYCCC 1563.842755 4 0.0020 2312 | 16/50
42 h-m-p 0.0017 0.0084 14.1213 CCCC 1563.458096 3 0.0024 2371 | 16/50
43 h-m-p 0.0304 0.1521 0.8442 YCCCC 1562.465318 4 0.0692 2431 | 16/50
44 h-m-p 0.0073 0.0366 2.4519 YCCCC 1561.498176 4 0.0164 2525 | 16/50
45 h-m-p 0.0860 0.5741 0.4668 CCCC 1560.978302 3 0.0907 2584 | 16/50
46 h-m-p 0.2198 1.8301 0.1926 YYCC 1560.119666 3 0.3223 2675 | 16/50
47 h-m-p 0.1478 1.1921 0.4200 +CCCC 1559.056379 3 0.6434 2769 | 16/50
48 h-m-p 0.0247 0.1233 1.0277 ++ 1558.831774 m 0.1233 2856 | 17/50
49 h-m-p 0.2896 2.2706 0.2296 YCCC 1558.356985 3 0.6355 2914 | 17/50
50 h-m-p 0.5885 2.9427 0.1409 YCC 1558.118009 2 0.4379 3003 | 17/50
51 h-m-p 0.3833 1.9164 0.0585 YCCC 1558.063654 3 0.2219 3094 | 17/50
52 h-m-p 0.0587 1.1146 0.2209 +YCC 1557.982606 2 0.1800 3184 | 17/50
53 h-m-p 0.0993 1.3724 0.4005 CC 1557.960234 1 0.1274 3272 | 17/50
54 h-m-p 0.1527 0.7636 0.2348 CC 1557.952224 1 0.0599 3360 | 17/50
55 h-m-p 0.0229 0.9732 0.6145 YC 1557.943074 1 0.0513 3447 | 17/50
56 h-m-p 0.0573 0.5750 0.5506 YC 1557.939692 1 0.0264 3534 | 17/50
57 h-m-p 0.0176 0.5784 0.8263 CC 1557.936632 1 0.0207 3622 | 17/50
58 h-m-p 0.0169 0.4705 1.0136 CC 1557.934473 1 0.0147 3710 | 17/50
59 h-m-p 0.1716 4.4020 0.0870 +YCCC 1557.609486 3 1.4683 3769 | 16/50
60 h-m-p 0.4408 2.2041 0.0579 YYY 1557.560624 2 0.4314 3857 | 16/50
61 h-m-p 0.0141 0.0705 0.2876 ++ 1557.552042 m 0.0705 3944 | 16/50
62 h-m-p -0.0000 -0.0000 0.0925
h-m-p: -0.00000000e+00 -0.00000000e+00 9.24968439e-02 1557.552042
.. | 16/50
63 h-m-p 0.0000 0.0001 223641.6581 ---YYCYYCC 1553.991490 6 0.0000 4127 | 16/50
64 h-m-p 0.0000 0.0001 92.1891 CYCCC 1553.848959 4 0.0000 4187 | 16/50
65 h-m-p 0.0001 0.0004 27.9969 CC 1553.837237 1 0.0000 4242 | 16/50
66 h-m-p 0.0000 0.0037 22.0776 YC 1553.822373 1 0.0001 4296 | 16/50
67 h-m-p 0.0001 0.0037 21.9463 CC 1553.808841 1 0.0001 4351 | 16/50
68 h-m-p 0.0001 0.0007 28.0871 YC 1553.802846 1 0.0000 4405 | 16/50
69 h-m-p 0.0000 0.0001 19.8926 +C 1553.798119 0 0.0001 4459 | 17/50
70 h-m-p 0.0001 0.0080 12.1735 CC 1553.793660 1 0.0001 4514 | 17/50
71 h-m-p 0.0002 0.0021 10.8790 CC 1553.792625 1 0.0000 4569 | 17/50
72 h-m-p 0.0001 0.0068 8.9126 CC 1553.791649 1 0.0001 4624 | 17/50
73 h-m-p 0.0002 0.0210 3.2129 YC 1553.791227 1 0.0001 4678 | 17/50
74 h-m-p 0.0001 0.0069 5.1281 C 1553.790899 0 0.0001 4731 | 17/50
75 h-m-p 0.0001 0.0060 6.0489 YC 1553.790721 1 0.0000 4785 | 17/50
76 h-m-p 0.0003 0.0557 0.7042 C 1553.790695 0 0.0001 4838 | 17/50
77 h-m-p 0.0001 0.0512 0.9964 C 1553.790674 0 0.0001 4924 | 17/50
78 h-m-p 0.0001 0.0178 1.2821 Y 1553.790663 0 0.0000 5010 | 17/50
79 h-m-p 0.0001 0.0702 0.7818 C 1553.790648 0 0.0001 5063 | 17/50
80 h-m-p 0.0003 0.1471 1.1593 Y 1553.790627 0 0.0001 5149 | 17/50
81 h-m-p 0.0000 0.0180 3.9405 C 1553.790597 0 0.0001 5202 | 17/50
82 h-m-p 0.0002 0.0855 1.5771 C 1553.790568 0 0.0002 5255 | 17/50
83 h-m-p 0.0001 0.0554 3.8876 +C 1553.790390 0 0.0004 5309 | 17/50
84 h-m-p 0.0001 0.0058 26.9153 YC 1553.790279 1 0.0000 5363 | 17/50
85 h-m-p 0.0005 0.0511 1.9614 Y 1553.790264 0 0.0001 5416 | 17/50
86 h-m-p 0.0003 0.1136 0.5612 Y 1553.790259 0 0.0001 5469 | 17/50
87 h-m-p 0.0001 0.0374 0.9019 Y 1553.790255 0 0.0001 5555 | 17/50
88 h-m-p 0.0002 0.1088 0.8078 Y 1553.790249 0 0.0001 5641 | 17/50
89 h-m-p 0.0003 0.1579 0.2545 Y 1553.790248 0 0.0001 5727 | 17/50
90 h-m-p 0.0006 0.3190 0.2157 C 1553.790242 0 0.0006 5813 | 17/50
91 h-m-p 0.0001 0.0701 4.2293 Y 1553.790202 0 0.0002 5899 | 17/50
92 h-m-p 0.0003 0.1286 28.7825 +CC 1553.788308 1 0.0016 5955 | 17/50
93 h-m-p 0.0015 0.0103 30.8263 -Y 1553.788220 0 0.0001 6009 | 17/50
94 h-m-p 0.0482 0.6376 0.0432 ---C 1553.788219 0 0.0002 6065 | 17/50
95 h-m-p 0.0160 8.0000 0.1503 +++YCCYC 1553.782434 4 1.5416 6160 | 17/50
96 h-m-p 1.0709 5.3547 0.1789 YCC 1553.780685 2 0.5647 6249 | 17/50
97 h-m-p 1.0458 6.0131 0.0966 CCC 1553.775873 2 0.9183 6339 | 17/50
98 h-m-p 0.6922 3.4612 0.0842 CYC 1553.772561 2 0.9907 6428 | 17/50
99 h-m-p 0.6867 3.4335 0.0145 CC 1553.771004 1 0.5812 6516 | 17/50
100 h-m-p 0.0974 2.3248 0.0864 +YCCC 1553.769722 3 0.8474 6608 | 17/50
101 h-m-p 0.7801 3.9004 0.0333 YC 1553.768458 1 1.6672 6695 | 17/50
102 h-m-p 0.2480 1.2402 0.0363 +C 1553.767976 0 0.9362 6782 | 17/50
103 h-m-p 0.0901 0.4507 0.0073 ++ 1553.767685 m 0.4507 6868 | 18/50
104 h-m-p 0.0207 4.3645 0.1304 Y 1553.767647 0 0.0165 6954 | 18/50
105 h-m-p 1.6000 8.0000 0.0005 C 1553.767646 0 0.5330 7039 | 18/50
106 h-m-p 0.6621 8.0000 0.0004 ----------------.. | 18/50
107 h-m-p 0.0001 0.0501 1.1407 C 1553.767632 0 0.0000 7223 | 18/50
108 h-m-p 0.0004 0.2068 0.0920 -C 1553.767632 0 0.0000 7277 | 18/50
109 h-m-p 0.0008 0.3805 0.0795 -C 1553.767632 0 0.0001 7363 | 18/50
110 h-m-p 0.0048 2.4166 0.0608 -Y 1553.767632 0 0.0002 7449 | 18/50
111 h-m-p 0.0004 0.2068 0.1496 Y 1553.767631 0 0.0001 7534 | 18/50
112 h-m-p 0.0008 0.3924 0.1064 -Y 1553.767631 0 0.0000 7620 | 18/50
113 h-m-p 0.0071 3.5395 0.0232 --C 1553.767631 0 0.0001 7707 | 18/50
114 h-m-p 0.0019 0.9689 0.0181 --Y 1553.767631 0 0.0001 7794 | 18/50
115 h-m-p 0.0053 2.6423 0.0166 --Y 1553.767631 0 0.0000 7881 | 18/50
116 h-m-p 0.0101 5.0557 0.0081 --Y 1553.767631 0 0.0001 7968 | 18/50
117 h-m-p 0.0160 8.0000 0.0055 --C 1553.767631 0 0.0003 8055 | 18/50
118 h-m-p 0.0048 2.4249 0.0485 --Y 1553.767631 0 0.0001 8142 | 18/50
119 h-m-p 0.0050 2.4923 0.0824 --C 1553.767631 0 0.0001 8229 | 18/50
120 h-m-p 0.0113 5.6541 0.0594 -Y 1553.767631 0 0.0004 8315 | 18/50
121 h-m-p 0.0011 0.5730 0.5371 -C 1553.767631 0 0.0001 8401 | 18/50
122 h-m-p 0.0018 0.9169 0.8045 -Y 1553.767631 0 0.0002 8487 | 18/50
123 h-m-p 0.0015 0.7619 0.9678 C 1553.767630 0 0.0004 8572 | 18/50
124 h-m-p 0.0004 0.1998 3.6888 C 1553.767630 0 0.0001 8657 | 18/50
125 h-m-p 0.0003 0.1485 2.0343 -Y 1553.767630 0 0.0000 8711 | 18/50
126 h-m-p 0.0027 1.3586 0.4511 -C 1553.767630 0 0.0002 8765 | 18/50
127 h-m-p 0.0020 1.0116 0.7322 -C 1553.767630 0 0.0001 8851 | 18/50
128 h-m-p 0.0016 0.8178 0.2184 --Y 1553.767630 0 0.0000 8938 | 18/50
129 h-m-p 0.0023 1.1256 0.0504 --C 1553.767630 0 0.0000 9025 | 18/50
130 h-m-p 0.0160 8.0000 0.0010 ---C 1553.767630 0 0.0001 9113 | 18/50
131 h-m-p 0.0160 8.0000 0.0012 ---Y 1553.767630 0 0.0001 9201 | 18/50
132 h-m-p 0.0160 8.0000 0.0022 ---C 1553.767630 0 0.0001 9289 | 18/50
133 h-m-p 0.0160 8.0000 0.0023 ---Y 1553.767630 0 0.0001 9377 | 18/50
134 h-m-p 0.0160 8.0000 0.0009 Y 1553.767630 0 0.0086 9462 | 18/50
135 h-m-p 0.0160 8.0000 0.3880 --C 1553.767630 0 0.0004 9549 | 18/50
136 h-m-p 0.0033 1.6687 0.3409 --C 1553.767630 0 0.0001 9636 | 18/50
137 h-m-p 0.0277 8.0000 0.0008 ----C 1553.767630 0 0.0000 9725
Out..
lnL = -1553.767630
9726 lfun, 116712 eigenQcodon, 4814370 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) = -1561.435828 S = -1490.296532 -85.409088
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 118 patterns 51:09
did 20 / 118 patterns 51:10
did 30 / 118 patterns 51:10
did 40 / 118 patterns 51:10
did 50 / 118 patterns 51:10
did 60 / 118 patterns 51:10
did 70 / 118 patterns 51:11
did 80 / 118 patterns 51:11
did 90 / 118 patterns 51:11
did 100 / 118 patterns 51:11
did 110 / 118 patterns 51:11
did 118 / 118 patterns 51:12end of tree file.
Time used: 51:12
The loglikelihoods for models M1, M2, M7 and M8 are -1553.817829 -1553.817829 -1553.767629 -1553.767630 respectively
CLUSTAL W (1.8) multiple sequence alignment (ALTER 1.3.3)
MDS6_M_QBP84707_1_NA_NA_Unknown_Betacoronavirus_1 MSSKPTPAPVYIWTADEAIKFLKEWNFSLGIILLFITIILQYGYTSRSMFVYVIKMIILW
MY_U208_12_M_AQN78667_1_2012_03_28_Malaysia_Human_Betacoronavirus_1 MSSKPTPAPVYIWTADEAIKFLKEWNFSLGIILLFITIILQYGYTSRSMFVYVIKMIILW
MY_U236_12_M_AQN78675_1_2012_04_02_Malaysia_Human_Betacoronavirus_1 MSSKPTPAPVYIWTADEAIKFLKEWNFSLGIILLFITIILQYGYTSRSMFVYVIKMIILW
HCoV_OC43_USA_TCNP_0070_2016_M_ATN39867_1_2016_02_01_USA_Human_Betacoronavirus_1 MSSKPTPAPVYIWTADEAIKFLKEWNFSLGIILLFITIILQYGYTSRSMFVYVIKMIILW
4_17_25_M_AVZ61114_1_2017_04_USA_Cattle_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILW
HK04_02_M_AEN19369_1_2004_11_China_Human_Betacoronavirus_1 MSSKTTPAPVYIWTADEAIKFLKEWNFSLGIILLFITIILQYGYTSRSMFVYVIKMIILW
MY_U464_12_M_AQN78691_1_2012_05_09_Malaysia_Human_Betacoronavirus_1 MSSKPTPAPVYIWTADEAIKFLKEWNFSLGIILLFITIILQYGYTSRSMFVYVIKMIILW
HKU23_265F_M_AHN64777_1_2013_04_03_United_Arab_Emirates_Camel_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITIILQFGYTSRSMFVYVIKMIILW
4_17_03_M_AVZ61104_1_2017_04_USA_Cattle_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILW
BCOV_China_SWUN_A10_2018_NA_QOV05171_1_2018_11_01_China_Cattle_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILW
7_16_23_M_AVZ61134_1_2016_07_USA_Cattle_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILW
ICSA16_LBA_M_AVI15027_1_2014_France_Cattle_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMILLW
ICSA_pool_EN_M_AVI15038_1_2014_France_Cattle_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMILLW
Mebus_M_AAK29779_2_NA_NA_Unknown_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITIILQFGYTSRSMFVYVIKMIILW
87309_Belgium_2003_M_AAX85672_1_NA_Belgium_Unknown_Betacoronavirus_1 MSSKTTPAPVYIWTADEAIKFLKEWNFSLGIILLFITIILQYGYTSRSMFVYVIKMIILW
IWT_13_M_BBM61052_1_2015_06_Japan_Unknown_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILW
4_17_08_M_AVZ61124_1_2017_04_USA_Cattle_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILW
IWT_12_M_BBM61042_1_2015_05_Japan_Unknown_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILW
OC43_human_USA_007_11_2000_M_AGT51494_1_2000_07_27_USA_Human_Betacoronavirus_1 MSSKTTPAPVYIWTADEAIKFLKEWNFSLGIILLFITIILQYGYTSRSMFVYVIKMIILW
OC43_KLF_01_2018_NA_QDH43716_1_2018_01_18_Kenya_Human_Betacoronavirus_1 MSSKPTPAPVYIWTADEAIKFLKEWNFSLGIILLFITIILQYGYTSRSMFVYVIKMIILW
BCV_AKS_01_NA_ANJ04979_1_2015_05_30_China_Cattle_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILW
IWT_14_M_BBM61062_1_2015_11_Japan_Unknown_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILW
IWT_18_M_BBM61082_1_2016_12_Japan_Unknown_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILW
OC43_human_USA_872_5_1987_M_AGT51673_1_1987_02_10_USA_Human_Betacoronavirus_1 MSSITTPAPVYIWTADEAIKFLKEWNFSLGIILLFITIILQFGYTSRSMFVYVIKMIILW
BCoV_LUN_M_AAL57312_1_NA_NA_Unknown_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILW
IWT_2_M_BBM60962_1_2010_12_Japan_Unknown_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILW
IWT_21_M_BBM61112_1_2016_12_Japan_Unknown_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILW
IWT_23_M_BBM61152_1_2016_12_Japan_Unknown_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILW
DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10636_1_2016_03_05_Morocco_Camel_Betacoronavirus_1 MSSITTPAPVYTWTADEAIKFLKEWNFSLGIILLFITIILQFGYTSRSMFVYVIKMIILW
IWT_26_M_BBM61182_1_2017_02_Japan_Unknown_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILW
*** .****** *************************:***:***************:**
MDS6_M_QBP84707_1_NA_NA_Unknown_Betacoronavirus_1 LMWPITIILTTFNCVYALNNVYLGLSIVFTIVAIIMWIVYFVNSIRLFIRTGSFWSFNPE
MY_U208_12_M_AQN78667_1_2012_03_28_Malaysia_Human_Betacoronavirus_1 LMWPITIILTTFNCVYALNNVYLGLSIVFTIVAIIMWIVYFVNSIRLFIRTGSFWSFNPE
MY_U236_12_M_AQN78675_1_2012_04_02_Malaysia_Human_Betacoronavirus_1 LMWPITIILTTFNCVYALNNVYLGLSIVFTIVAIIMWIVYFVNSIRLFIRTGSFWSFNPE
HCoV_OC43_USA_TCNP_0070_2016_M_ATN39867_1_2016_02_01_USA_Human_Betacoronavirus_1 IMWPITIILTTFNCVYALNNVYLGLSIVFTIVAIIMWIVYFVNSIRLFIRTGSFWSFNPE
4_17_25_M_AVZ61114_1_2017_04_USA_Cattle_Betacoronavirus_1 LMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPE
HK04_02_M_AEN19369_1_2004_11_China_Human_Betacoronavirus_1 LMWPITIILTTFNCVYALNNVYLGLSIVFTIVAIIMWIVYFVNSIRLFIRTGSFWSFNPE
MY_U464_12_M_AQN78691_1_2012_05_09_Malaysia_Human_Betacoronavirus_1 LMWPITIILTTFNCVYALNNVYLGLSIVFTIVAIIMWIVYFVNSIRLFIRTGSFWSFNPE
HKU23_265F_M_AHN64777_1_2013_04_03_United_Arab_Emirates_Camel_Betacoronavirus_1 LMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPE
4_17_03_M_AVZ61104_1_2017_04_USA_Cattle_Betacoronavirus_1 LMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPE
BCOV_China_SWUN_A10_2018_NA_QOV05171_1_2018_11_01_China_Cattle_Betacoronavirus_1 LMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPE
7_16_23_M_AVZ61134_1_2016_07_USA_Cattle_Betacoronavirus_1 LMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPE
ICSA16_LBA_M_AVI15027_1_2014_France_Cattle_Betacoronavirus_1 LMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPE
ICSA_pool_EN_M_AVI15038_1_2014_France_Cattle_Betacoronavirus_1 LMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPE
Mebus_M_AAK29779_2_NA_NA_Unknown_Betacoronavirus_1 LMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPE
87309_Belgium_2003_M_AAX85672_1_NA_Belgium_Unknown_Betacoronavirus_1 LMWPITIILTTFNCVYALNNVYLGLSIVFTIVAIIMWIVYFVNSIRLFIRTGSFWSFNPE
IWT_13_M_BBM61052_1_2015_06_Japan_Unknown_Betacoronavirus_1 LMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPE
4_17_08_M_AVZ61124_1_2017_04_USA_Cattle_Betacoronavirus_1 LMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPE
IWT_12_M_BBM61042_1_2015_05_Japan_Unknown_Betacoronavirus_1 LMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPE
OC43_human_USA_007_11_2000_M_AGT51494_1_2000_07_27_USA_Human_Betacoronavirus_1 LMWPITIILTTFNCVYALNNVYLGLSIVFTIVAIIMWIVYFVNSIRLFIRTGSFWSFNPE
OC43_KLF_01_2018_NA_QDH43716_1_2018_01_18_Kenya_Human_Betacoronavirus_1 LMWPITIILTTFNCVYALNNVYLGLSIVFTIVAIIMWIVYFVNSIRLFIRTGSFWSFNPE
BCV_AKS_01_NA_ANJ04979_1_2015_05_30_China_Cattle_Betacoronavirus_1 LMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPE
IWT_14_M_BBM61062_1_2015_11_Japan_Unknown_Betacoronavirus_1 LMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPE
IWT_18_M_BBM61082_1_2016_12_Japan_Unknown_Betacoronavirus_1 LMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPE
OC43_human_USA_872_5_1987_M_AGT51673_1_1987_02_10_USA_Human_Betacoronavirus_1 LMWPLTIILTIFNCVYALNNVYLGLSIVFTIVAIIMWIVYFVNSIRLFIRTGSFWSFNPE
BCoV_LUN_M_AAL57312_1_NA_NA_Unknown_Betacoronavirus_1 LMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPE
IWT_2_M_BBM60962_1_2010_12_Japan_Unknown_Betacoronavirus_1 LMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPE
IWT_21_M_BBM61112_1_2016_12_Japan_Unknown_Betacoronavirus_1 LMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPE
IWT_23_M_BBM61152_1_2016_12_Japan_Unknown_Betacoronavirus_1 LMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPE
DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10636_1_2016_03_05_Morocco_Camel_Betacoronavirus_1 LMWPLTIILIIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPE
IWT_26_M_BBM61182_1_2017_02_Japan_Unknown_Betacoronavirus_1 LMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPE
:***:**** *************:****************************:******
MDS6_M_QBP84707_1_NA_NA_Unknown_Betacoronavirus_1 TNNLMCIDMKGTMYVRPIIEDYHTLTVTIIRGHLYIQGIKLGIGYSLADLPAYMSVAKVT
MY_U208_12_M_AQN78667_1_2012_03_28_Malaysia_Human_Betacoronavirus_1 TNNLMCIDMKGTMYVRPIIEDYHTLTVTIIRGHLYIQGIKLGIGYSLADLPAYMSVAKVT
MY_U236_12_M_AQN78675_1_2012_04_02_Malaysia_Human_Betacoronavirus_1 TNNLMCIDMKGTMYVRPIIEDYHTLTVTIIRGHLYIQGIKLGIGYSLADLPAYMSVAKVT
HCoV_OC43_USA_TCNP_0070_2016_M_ATN39867_1_2016_02_01_USA_Human_Betacoronavirus_1 TNNLMCIDMKGTMYVRPIIEDYHTLTVTIIRGHLYIQGIKLGIGYSLADLPAYMSVAKVT
4_17_25_M_AVZ61114_1_2017_04_USA_Cattle_Betacoronavirus_1 TNNLMSIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVSVAKVS
HK04_02_M_AEN19369_1_2004_11_China_Human_Betacoronavirus_1 TNNLMCIDMKGTMYVRPIIEDYHTLTVTIIRGHLYIQGIKLGIGYSLADLPAYMTVAKVT
MY_U464_12_M_AQN78691_1_2012_05_09_Malaysia_Human_Betacoronavirus_1 TNNLMCIDMKGTMYVRPIIEDYHTLTVTIIRGHLYIQGIKLGIGYSLADLPAYMSVAKVT
HKU23_265F_M_AHN64777_1_2013_04_03_United_Arab_Emirates_Camel_Betacoronavirus_1 TNNLMCIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVTVAKVS
4_17_03_M_AVZ61104_1_2017_04_USA_Cattle_Betacoronavirus_1 TNNLMSIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVSVAKVS
BCOV_China_SWUN_A10_2018_NA_QOV05171_1_2018_11_01_China_Cattle_Betacoronavirus_1 TNNLMSIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVSVAKVS
7_16_23_M_AVZ61134_1_2016_07_USA_Cattle_Betacoronavirus_1 TNNLMSIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVSVAKVS
ICSA16_LBA_M_AVI15027_1_2014_France_Cattle_Betacoronavirus_1 TNNLMCIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVTVAKVS
ICSA_pool_EN_M_AVI15038_1_2014_France_Cattle_Betacoronavirus_1 TNNLMCIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVTVAKVS
Mebus_M_AAK29779_2_NA_NA_Unknown_Betacoronavirus_1 TNNLMCIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVTVAKVS
87309_Belgium_2003_M_AAX85672_1_NA_Belgium_Unknown_Betacoronavirus_1 TNNLMCIDMKGTMYVRPIIEDYHTLTVTIIRGHLYIQGIKLGIGYSLADLPAYMTVAKVT
IWT_13_M_BBM61052_1_2015_06_Japan_Unknown_Betacoronavirus_1 TNNLMCIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVTVAKVS
4_17_08_M_AVZ61124_1_2017_04_USA_Cattle_Betacoronavirus_1 TNNLMSIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVSVAKVS
IWT_12_M_BBM61042_1_2015_05_Japan_Unknown_Betacoronavirus_1 TNNLMCIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVTVAKVS
OC43_human_USA_007_11_2000_M_AGT51494_1_2000_07_27_USA_Human_Betacoronavirus_1 TNNLMCIDMKGTMYVRPIIEDYHTLTVTIIRGHLYIQGIKLGIGYSLADLPAYMTVAKVT
OC43_KLF_01_2018_NA_QDH43716_1_2018_01_18_Kenya_Human_Betacoronavirus_1 TNNLMCIDMKGTMYVRPIIEDYHTLTVTIIRGHLYIQGIKLGIGYSLADLPAYMSVAKVT
BCV_AKS_01_NA_ANJ04979_1_2015_05_30_China_Cattle_Betacoronavirus_1 TNNLMCIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVTVAKVS
IWT_14_M_BBM61062_1_2015_11_Japan_Unknown_Betacoronavirus_1 TNNLMCIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVTVAKVS
IWT_18_M_BBM61082_1_2016_12_Japan_Unknown_Betacoronavirus_1 TNNLMAIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVTVAKVS
OC43_human_USA_872_5_1987_M_AGT51673_1_1987_02_10_USA_Human_Betacoronavirus_1 TNNLMCIDMKGTMFVRPIIEDYHTLTVTIIRGHLYIQGIKLGTGYSLADLPAYMTVAKVT
BCoV_LUN_M_AAL57312_1_NA_NA_Unknown_Betacoronavirus_1 TNNLMCIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVTVAKVS
IWT_2_M_BBM60962_1_2010_12_Japan_Unknown_Betacoronavirus_1 TNNLMCIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVTVAKVS
IWT_21_M_BBM61112_1_2016_12_Japan_Unknown_Betacoronavirus_1 TNNLMAIDMKGRMYVRPIIEDYHTLTVTIIRGHLYLQGIKLGTGYSLSDLPAYVTVAKVS
IWT_23_M_BBM61152_1_2016_12_Japan_Unknown_Betacoronavirus_1 TNNLMSIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVSVAKVS
DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10636_1_2016_03_05_Morocco_Camel_Betacoronavirus_1 TNNLMCIDMKGRMYVRPIIEDYHTLTVTIIRGHLYIQGIKLGTGYSLSDLPAYVTVAKVT
IWT_26_M_BBM61182_1_2017_02_Japan_Unknown_Betacoronavirus_1 TNNLMSIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVSVAKVS
*****.***** *:*********************:****** ****:*****::****:
MDS6_M_QBP84707_1_NA_NA_Unknown_Betacoronavirus_1 HLCTYKRGFLDRISDTSGFAVYVKFKVGNYRLPSTQKGSGMDTALLRNNI
MY_U208_12_M_AQN78667_1_2012_03_28_Malaysia_Human_Betacoronavirus_1 HLCTYKRGFLDRISDTSGFAVYVKFKVGNYRLPSTQKGSGMDTALLRNNI
MY_U236_12_M_AQN78675_1_2012_04_02_Malaysia_Human_Betacoronavirus_1 HLCTYKRGFLDRISDTSGFAVYVKFKVGNYRLPSTQKGSGMDTALLRNNI
HCoV_OC43_USA_TCNP_0070_2016_M_ATN39867_1_2016_02_01_USA_Human_Betacoronavirus_1 HLCTYKRGFLDRISDTSGFAVYVKFKVGNYRLPSTQKGSGMDTALLRNNI
4_17_25_M_AVZ61114_1_2017_04_USA_Cattle_Betacoronavirus_1 HLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI
HK04_02_M_AEN19369_1_2004_11_China_Human_Betacoronavirus_1 HLCTYKRGFLDRISDTSGFAVYVKSKVGNYRLPSTQKGSGMDTALLRNNI
MY_U464_12_M_AQN78691_1_2012_05_09_Malaysia_Human_Betacoronavirus_1 HLCTYKRGFLDRISDTSGFAVYVKFKVGNYRLPSTQKGSGMDTALLRNNI
HKU23_265F_M_AHN64777_1_2013_04_03_United_Arab_Emirates_Camel_Betacoronavirus_1 HLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGMDTALLRNNI
4_17_03_M_AVZ61104_1_2017_04_USA_Cattle_Betacoronavirus_1 HLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI
BCOV_China_SWUN_A10_2018_NA_QOV05171_1_2018_11_01_China_Cattle_Betacoronavirus_1 HLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI
7_16_23_M_AVZ61134_1_2016_07_USA_Cattle_Betacoronavirus_1 HLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI
ICSA16_LBA_M_AVI15027_1_2014_France_Cattle_Betacoronavirus_1 HLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGMDTALLRNNI
ICSA_pool_EN_M_AVI15038_1_2014_France_Cattle_Betacoronavirus_1 HLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGMDTALLRNNI
Mebus_M_AAK29779_2_NA_NA_Unknown_Betacoronavirus_1 HLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGMDTALLRNNI
87309_Belgium_2003_M_AAX85672_1_NA_Belgium_Unknown_Betacoronavirus_1 HLCTYKRGFLDRISDTSGFAVYVKSKVGNYRLPSTQKGSGMDTALLRNNI
IWT_13_M_BBM61052_1_2015_06_Japan_Unknown_Betacoronavirus_1 HLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI
4_17_08_M_AVZ61124_1_2017_04_USA_Cattle_Betacoronavirus_1 HLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI
IWT_12_M_BBM61042_1_2015_05_Japan_Unknown_Betacoronavirus_1 HLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI
OC43_human_USA_007_11_2000_M_AGT51494_1_2000_07_27_USA_Human_Betacoronavirus_1 HLCTYKRGFLDRISDTSGFAVYVKSKVGNYRLPSTQKGSGMDTALLRNNI
OC43_KLF_01_2018_NA_QDH43716_1_2018_01_18_Kenya_Human_Betacoronavirus_1 HLCTYKRGFLDRISDTSGFAVYVKFKVGNYRLPSTQKGSGMDTALLRNNI
BCV_AKS_01_NA_ANJ04979_1_2015_05_30_China_Cattle_Betacoronavirus_1 HLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGMDTALLRNNI
IWT_14_M_BBM61062_1_2015_11_Japan_Unknown_Betacoronavirus_1 HLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI
IWT_18_M_BBM61082_1_2016_12_Japan_Unknown_Betacoronavirus_1 HLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI
OC43_human_USA_872_5_1987_M_AGT51673_1_1987_02_10_USA_Human_Betacoronavirus_1 YLCTYKRGFLDRISDTSGFAVYVKSKVGNYRLPSTQKGSGMDTALLRNNI
BCoV_LUN_M_AAL57312_1_NA_NA_Unknown_Betacoronavirus_1 HLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI
IWT_2_M_BBM60962_1_2010_12_Japan_Unknown_Betacoronavirus_1 HLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI
IWT_21_M_BBM61112_1_2016_12_Japan_Unknown_Betacoronavirus_1 HLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI
IWT_23_M_BBM61152_1_2016_12_Japan_Unknown_Betacoronavirus_1 HLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI
DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10636_1_2016_03_05_Morocco_Camel_Betacoronavirus_1 HLCTYKRGFLDRIGDTSGFAVYVKSKVGNYRLPSTQKGSGMDTALLRNNI
IWT_26_M_BBM61182_1_2017_02_Japan_Unknown_Betacoronavirus_1 HLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI
:* ********:*.********** ***************:*********
>MDS6_M_QBP84707_1_NA_NA_Unknown_Betacoronavirus_1 ATGAGTAGTAAACCTACACCAGCACCAGTTTATATCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAATTTTTCTTTGGGTATTATACTACTTTTTATTACAATCATATTGCAATATGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATTATTTTGTGGCTTATGTGGCCCATTACTATAATCTTAACTACTTTCAATTGCGTATACGCATTGAATAACGTGTATCTTGGCCTTTCTATAGTTTTTACCATAGTGGCCATTATTATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTTTTGGAGTTTTAACCCAGAAACAAACAACTTGATGTGTATAGATATGAAAGGAACAATGTATGTTAGGCCGATAATTGAGGACTATCATACCCTGACGGTCACAATAATACGCGGTCATCTTTATATTCAAGGTATAAAACTAGGTATTGGCTATTCTTTGGCAGATTTGCCAGCTTATATGTCTGTTGCTAAGGTTACACACCTGTGCACATATAAGCGTGGTTTTCTTGACAGGATAAGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTTCAAAGTCGGTAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCATGGACACCGCATTGTTGAGAAATAATATC >MY_U208_12_M_AQN78667_1_2012_03_28_Malaysia_Human_Betacoronavirus_1 ATGAGTAGTAAACCTACACCAGCACCAGTTTATATCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAATTTTTCTTTGGGTATTATACTACTTTTTATTACAATCATATTGCAATATGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATTATTTTGTGGCTTATGTGGCCCATTACTATAATCTTAACTACTTTCAATTGCGTATACGCATTGAATAACGTGTATCTTGGCCTTTCTATAGTTTTTACCATAGTGGCCATTATTATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTTTTGGAGTTTTAACCCAGAAACAAACAACTTGATGTGTATAGATATGAAAGGAACAATGTATGTTAGGCCGATAATTGAGGACTATCATACCCTGACGGTCACAATAATACGCGGTCATCTTTATATTCAAGGTATAAAACTAGGTATTGGCTATTCTTTGGCAGATTTGCCAGCTTATATGTCTGTTGCTAAGGTTACACACCTGTGCACATATAAGCGTGGTTTTCTTGACAGGATAAGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTTCAAAGTCGGTAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCATGGACACCGCATTGTTGAGAAATAATATC >MY_U236_12_M_AQN78675_1_2012_04_02_Malaysia_Human_Betacoronavirus_1 ATGAGTAGTAAACCTACACCAGCACCAGTTTATATCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAATTTTTCTTTGGGTATTATACTACTTTTTATTACAATCATATTGCAATATGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATTATTTTGTGGCTTATGTGGCCCATTACTATAATCTTAACTACTTTCAATTGCGTATACGCATTGAATAACGTGTATCTTGGCCTTTCTATAGTTTTTACCATAGTGGCCATTATTATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTTTTGGAGTTTTAACCCAGAAACAAACAACTTGATGTGTATAGATATGAAAGGAACAATGTATGTTAGGCCGATAATTGAGGACTATCATACCCTGACGGTCACAATAATACGCGGTCATCTTTATATTCAAGGTATAAAACTAGGTATTGGCTATTCTTTGGCAGATTTGCCAGCTTATATGTCTGTTGCTAAGGTTACACACCTGTGCACATATAAGCGTGGTTTTCTTGACAGGATAAGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTTCAAAGTCGGTAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCATGGACACCGCATTGTTGAGAAATAATATC >HCoV_OC43_USA_TCNP_0070_2016_M_ATN39867_1_2016_02_01_USA_Human_Betacoronavirus_1 ATGAGTAGTAAACCTACACCAGCACCAGTTTATATCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAATTTTTCTTTGGGTATTATACTACTTTTTATTACAATCATATTGCAATATGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATTATTTTGTGGATTATGTGGCCCATTACTATAATCTTAACTACTTTCAATTGCGTATACGCATTGAATAACGTGTATCTTGGCCTTTCTATAGTTTTTACCATAGTGGCCATTATTATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTTTTGGAGTTTTAACCCAGAAACAAACAACTTGATGTGTATAGATATGAAAGGAACAATGTATGTTAGGCCGATAATTGAGGACTATCATACCCTGACGGTCACAATAATACGCGGTCATCTTTATATTCAAGGTATAAAACTAGGTATTGGCTATTCTTTGGCAGATTTGCCAGCTTATATGTCTGTTGCTAAGGTTACACACCTGTGCACATATAAGCGTGGTTTTCTTGACAGGATAAGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTTCAAAGTCGGTAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCATGGACACCGCATTGTTGAGAAATAATATC >4_17_25_M_AVZ61114_1_2017_04_USA_Cattle_Betacoronavirus_1 ATGAGTAGTGTAACTACACCAGCACCAGTTTACACCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAACTTTTCTTTGGGTATTATACTACTTTTTATTACAGTCATATTGCAATTTGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATCATTTTGTGGCTTATGTGGCCCCTTACTATCATCTTAACTATTTTCAATTGCGTGTATGCGTTGAATAATGTGTATCTTGGCTTCTCTATAGTTTTTACTATAGTGGCCATTATCATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTGGTGGAGTTTCAACCCAGAAACAAACAACTTGATGTCTATAGATATGAAGGGAAGGATGTATGTTAGGCCGATAATTGAGGACTACCATACCCTTACGGTCACAATAATACGTGGTCATCTTTACATGCAAGGTATAAAACTAGGTACTGGCTATTCTTTGTCAGATTTGCCAGCTTATGTGTCTGTTGCTAAGGTCTCGCACCTGCTCACGTATAAGCGTGGTTTTCTTGACAAGATAGGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTCCAAAGTCGGTAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCTTGGACACCGCATTGTTGAGAAATAATATC >HK04_02_M_AEN19369_1_2004_11_China_Human_Betacoronavirus_1 ATGAGTAGTAAAACTACACCAGCACCAGTTTATATCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAATTTTTCTTTGGGTATTATACTACTTTTTATTACAATCATATTGCAATATGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATTATTTTGTGGCTTATGTGGCCCATTACTATAATCTTAACTACTTTCAATTGCGTATACGCATTGAATAACGTGTATCTTGGCCTTTCTATAGTTTTTACCATAGTGGCCATTATTATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTTTTGGAGTTTTAACCCAGAAACAAACAACTTGATGTGTATAGATATGAAAGGAACAATGTATGTTAGGCCGATAATTGAGGACTATCATACCCTGACGGTCACAATAATACGCGGTCATCTTTATATTCAAGGTATAAAACTAGGTATTGGCTATTCTTTGGCAGATTTGCCAGCTTATATGACTGTTGCTAAGGTTACACACCTGTGCACATATAAGCGTGGTTTTCTTGACAGGATAAGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTCCAAAGTCGGTAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCATGGACACCGCATTGTTGAGAAATAATATC >MY_U464_12_M_AQN78691_1_2012_05_09_Malaysia_Human_Betacoronavirus_1 ATGAGTAGTAAACCTACACCAGCACCAGTTTATATCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAATTTTTCTTTGGGTATTATACTACTTTTTATTACAATCATATTGCAATATGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATTATTTTGTGGCTTATGTGGCCCATTACTATAATCTTAACTACTTTCAATTGCGTATACGCATTGAATAACGTGTATCTTGGCCTTTCTATAGTTTTTACCATAGTGGCCATTATTATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTTTTGGAGTTTTAACCCAGAAACAAACAACTTGATGTGTATAGATATGAAAGGAACAATGTATGTTAGGCCGATAATTGAGGACTATCATACCCTGACGGTCACAATAATACGCGGTCATCTTTATATTCAAGGTATAAAACTAGGTATTGGCTATTCTTTGGCAGATTTGCCAGCTTATATGTCTGTTGCTAAGGTTACACACCTGTGCACATATAAGCGTGGTTTTCTTGACAGGATAAGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTTCAAAGTCGGTAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCATGGACACCGCATTGTTGAGAAATAATATC >HKU23_265F_M_AHN64777_1_2013_04_03_United_Arab_Emirates_Camel_Betacoronavirus_1 ATGAGTAGTGTAACTACACCAGCACCAGTTTACACCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAATTTTTCTTTGGGTATTATACTACTTTTTATTACAATCATATTGCAATTTGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATTATTTTGTGGCTTATGTGGCCCCTTACTATCATCTTAACTATTTTCAATTGCGTGTATGCGTTGAATAATGTGTATCTTGGCTTTTCTATAGTTTTTACTATAGTGGCCATTATCATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTGGTGGAGTTTCAACCCAGAAACAAACAACTTGATGTGTATAGATATGAAGGGAAGGATGTATGTTAGGCCTATAATTGAGGACTACCACACCCTTACGGTCACAATAATACGTGGTCATCTTTACATGCAAGGTATAAAACTAGGTACTGGCTATTCTTTGTCTGATTTGCCAGCTTATGTGACTGTTGCTAAGGTTTCACACCTGCTCACGTATAAGCGTGGTTTTCTTGACAAGATAGGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTCCAAAGTCGGTAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCATGGACACCGCATTGTTGAGAAATAATATC >4_17_03_M_AVZ61104_1_2017_04_USA_Cattle_Betacoronavirus_1 ATGAGTAGTGTAACTACACCAGCACCAGTTTACACCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAACTTTTCTTTGGGTATTATACTACTTTTTATTACAGTCATATTGCAATTTGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATCATTTTGTGGCTTATGTGGCCCCTTACTATCATCTTAACTATTTTCAATTGCGTGTATGCGTTGAATAATGTGTATCTTGGCTTCTCTATAGTTTTTACTATAGTGGCCATTATCATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTGGTGGAGTTTCAACCCAGAAACAAACAACTTGATGTCTATAGATATGAAGGGAAGGATGTATGTTAGGCCGATAATTGAGGACTACCATACCCTTACGGTCACAATAATACGTGGTCATCTTTACATGCAAGGTATAAAACTAGGTACTGGCTATTCTTTGTCAGATTTGCCAGCTTATGTGTCTGTTGCTAAGGTCTCGCATCTGCTCACGTATAAGCGTGGTTTTCTTGACAAGATAGGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTCCAAAGTCGGTAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCTTGGACACCGCATTGTTGAGAAATAATATC >BCOV_China_SWUN_A10_2018_NA_QOV05171_1_2018_11_01_China_Cattle_Betacoronavirus_1 ATGAGTAGTGTAACTACACCAGCACCAGTTTACACCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAACTTTTCTTTGGGTATTATACTACTTTTTATTACAGTCATATTGCAATTTGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATCATTTTGTGGCTTATGTGGCCCCTTACTATCATCTTAACTATTTTCAATTGCGTGTATGCGTTGAATAATGTGTATCTTGGCTTCTCTATAGTTTTTACTATAGTGGCCATTATCATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTGGTGGAGTTTCAACCCAGAAACAAACAACTTGATGTCTATAGATATGAAGGGAAGGATGTATGTTAGGCCGATAATTGAGGACTACCATACCCTTACTGTCACAATAATACGTGGTCATCTTTACATGCAAGGTATAAAACTAGGTACTGGCTATTCTTTGTCAGATTTGCCAGCTTATGTGTCTGTTGCTAAGGTCTCGCACCTGCTCACGTATAAGCGTGGTTTTCTTGACAAGATAGGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTCCAAAGTCGGTAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCTTGGACACCGCATTGTTGAGAAATAATATC >7_16_23_M_AVZ61134_1_2016_07_USA_Cattle_Betacoronavirus_1 ATGAGTAGTGTAACTACACCAGCACCAGTTTACACCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAACTTTTCTTTGGGTATTATACTACTTTTTATTACAGTCATATTGCAATTTGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATCATTTTGTGGCTTATGTGGCCCCTTACTATCATCTTAACTATTTTCAATTGCGTGTATGCGTTGAATAATGTGTATCTTGGCTTCTCTATAGTTTTTACTATAGTGGCCATTATCATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTATTTATTAGAACTGGAAGTTGGTGGAGTTTCAACCCAGAAACAAACAACTTGATGTCTATAGATATGAAGGGAAGGATGTATGTTAGGCCGATAATTGAGGACTACCATACCCTTACGGTCACAATAATACGTGGTCATCTTTACATGCAAGGTATAAAACTAGGTACTGGCTATTCTTTGTCAGATTTGCCAGCTTATGTGTCTGTTGCTAAGGTCTCGCACCTGCTTACGTATAAGCGTGGTTTTCTTGACAAGATAGGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTCCAAAGTCGGCAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCTTGGACACCGCATTGTTGAGAAATAATATC >ICSA16_LBA_M_AVI15027_1_2014_France_Cattle_Betacoronavirus_1 ATGAGTAGTGTAACTACACCAGCACCAGTTTACACCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAACTTTTCTTTGGGTATTATACTACTTTTTATTACAGTCATATTGCAATTTGGATACACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATCCTTTTGTGGCTTATGTGGCCCCTTACTATCATCTTAACTATTTTTAATTGCGTGTATGCTTTGAATAATGTGTATCTTGGCTTTTCTATAGTTTTCACTATAGTGGCCATTATCATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTGGTGGAGTTTCAACCCAGAAACAAACAACTTGATGTGTATAGATATGAAAGGAAGGATGTATGTTAGGCCTATAATTGAGGACTACCACACCCTTACGGTCACAATAATACGTGGTCATCTTTACATGCAAGGTATAAAACTAGGTACTGGCTATTCTTTGTCTGATTTGCCAGCTTATGTGACTGTTGCTAAGGTATCACACCTGCTCACGTATAAGCGTGGTTTTCTTGACAAGATAGGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTCCAAAGTCGGTAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCATGGACACCGCATTGTTGAGAAATAATATC >ICSA_pool_EN_M_AVI15038_1_2014_France_Cattle_Betacoronavirus_1 ATGAGTAGTGTAACTACACCAGCACCAGTTTACACCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAACTTTTCTTTGGGTATTATACTACTTTTTATTACAGTCATATTGCAATTTGGATACACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATCCTTTTGTGGCTTATGTGGCCCCTTACTATCATCTTAACTATTTTTAATTGCGTGTATGCTTTGAATAATGTGTATCTTGGCTTTTCTATAGTTTTCACTATAGTGGCCATTATCATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTGGTGGAGTTTCAACCCAGAAACAAACAACTTGATGTGTATAGATATGAAAGGAAGGATGTATGTTAGGCCTATAATTGAGGACTACCACACCCTTACGGTCACAATAATACGTGGTCATCTTTACATGCAAGGTATAAAACTAGGTACTGGCTATTCTTTGTCTGATTTGCCAGCTTATGTGACTGTTGCTAAGGTATCACACCTGCTCACGTATAAGCGTGGTTTTCTTGACAAGATAGGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTCCAAAGTCGGTAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCATGGACACCGCATTGTTGAGAAATAATATC >Mebus_M_AAK29779_2_NA_NA_Unknown_Betacoronavirus_1 ATGAGTAGTGTAACTACACCAGCACCAGTTTACACCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAACTTTTCTTTGGGTATTATACTACTTTTTATTACAATCATATTGCAATTTGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATCATTTTGTGGCTTATGTGGCCCCTTACTATCATCTTAACTATTTTCAATTGCGTGTATGCGTTGAATAATGTGTATCTTGGCTTTTCTATAGTTTTCACTATAGTGGCCATTATCATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTGGTGGAGTTTCAACCCAGAAACAAACAACTTGATGTGTATAGATATGAAGGGAAGGATGTATGTTAGGCCGATAATTGAGGACTACCATACCCTTACGGTCACAATAATACGTGGTCATCTTTACATGCAAGGTATAAAACTAGGTACTGGCTATTCTTTGTCAGATTTGCCAGCTTATGTGACTGTTGCTAAGGTCTCACACCTGCTCACGTATAAGCGTGGTTTTCTTGACAAGATAGGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTCCAAAGTCGGTAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCATGGACACCGCATTGTTGAGAAATAATATC >87309_Belgium_2003_M_AAX85672_1_NA_Belgium_Unknown_Betacoronavirus_1 ATGAGTAGTAAAACTACACCAGCACCAGTTTATATCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAATTTTTCTTTGGGTATTATACTACTTTTTATTACAATCATATTGCAATATGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATTATTTTGTGGCTTATGTGGCCCATTACTATAATCTTAACTACTTTCAATTGCGTATACGCATTGAATAATGTGTATCTTGGCCTTTCTATAGTTTTTACCATAGTGGCCATTATTATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTTTTGGAGTTTTAACCCAGAAACAAACAACCTGATGTGTATAGATATGAAAGGAACAATGTATGTTAGGCCGATAATTGAGGACTATCATACCCTGACGGTCACAATAATACGCGGTCATCTTTACATTCAAGGTATAAAACTAGGTATTGGCTATTCTTTGGCAGATTTGCCAGCTTATATGACTGTTGCTAAGGTTACACACCTGTGCACATATAAGCGTGGTTTTCTTGACAGGATAAGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTCCAAAGTCGGTAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCATGGACACCGCATTGTTGAGAAATAATATC >IWT_13_M_BBM61052_1_2015_06_Japan_Unknown_Betacoronavirus_1 ATGAGTAGTGTAACTACACCAGCACCAGTTTACACCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAACTTTTCTTTGGGTATTATACTACTTTTTATTACAGTCATATTGCAATTTGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATCATTTTGTGGCTTATGTGGCCCCTTACTATCATCTTAACTATTTTCAATTGCGTGTATGCGTTGAATAATGTGTATCTTGGCTTCTCTATAGTTTTTACTATAGTGGCCATTATCATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTGGTGGAGTTTCAACCCAGAAACAAACAACTTGATGTGTATAGATATGAAGGGAAGGATGTATGTTAGGCCGATAATTGAGGACTACCATACCCTTACGGTCACAATAATACGTGGTCATCTTTACATGCAAGGTATAAAACTAGGTACTGGCTATTCTTTGTCAGATTTGCCAGCTTATGTGACTGTTGCTAAGGTCTCGCACCTGCTCACGTATAAGCGTGGTTTTCTTGACAAGATAGGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTCCAAAGTCGGTAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCTTGGACACCGCATTGTTGAGAAATAATATC >4_17_08_M_AVZ61124_1_2017_04_USA_Cattle_Betacoronavirus_1 ATGAGTAGTGTAACTACACCAGCACCAGTTTACACCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAACTTTTCTTTGGGTATTATACTACTTTTTATTACAGTCATATTGCAATTTGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATCATTTTGTGGCTTATGTGGCCCCTTACTATCATCTTAACTATTTTCAATTGCGTGTATGCGTTGAATAATGTGTATCTTGGCTTCTCTATAGTTTTTACTATAGTGGCCATTATCATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTGGTGGAGTTTCAACCCAGAAACAAACAACTTGATGTCTATAGATATGAAGGGAAGGATGTATGTTAGGCCGATAATTGAGGACTACCATACCCTTACGGTCACAATAATACGTGGTCATCTTTACATGCAAGGTATAAAACTAGGTACTGGCTATTCTTTGTCAGATTTGCCAGCTTATGTGTCTGTTGCTAAGGTCTCGCACCTGCTCACGTATAAGCGTGGTTTTCTTGACAAGATAGGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTCCAAAGTCGGCAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCTTGGACACCGCATTGTTGAGAAATAATATC >IWT_12_M_BBM61042_1_2015_05_Japan_Unknown_Betacoronavirus_1 ATGAGTAGTGTAACTACACCAGCACCAGTTTACACCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAACTTTTCTTTGGGTATTATACTACTTTTTATTACAGTCATATTGCAATTTGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATCATTTTGTGGCTTATGTGGCCCCTTACTATCATCTTAACTATTTTCAATTGCGTGTATGCGTTGAATAATGTGTATCTTGGCTTCTCTATAGTTTTTACTATAGTGGCCATTATCATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTGGTGGAGTTTCAACCCAGAAACAAACAACTTGATGTGTATAGATATGAAGGGAAGGATGTATGTTAGGCCGATAATTGAGGACTACCATACCCTTACGGTCACAATAATACGTGGTCATCTTTATATGCAAGGTATAAAACTAGGTACTGGCTATTCTTTGTCAGATTTGCCAGCTTATGTGACTGTTGCTAAGGTCTCGCACCTGCTCACGTATAAGCGTGGTTTTCTTGACAAGATAGGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTCCAAAGTCGGTAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCTTGGACACCGCATTGTTGAGAAATAATATC >OC43_human_USA_007_11_2000_M_AGT51494_1_2000_07_27_USA_Human_Betacoronavirus_1 ATGAGTAGTAAAACTACACCAGCACCAGTTTATATCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAATTTTTCTTTGGGTATTATACTACTTTTTATTACAATCATATTGCAATATGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATTATTTTGTGGCTTATGTGGCCCATTACTATAATCTTAACTACTTTCAATTGCGTATACGCATTGAATAATGTGTATCTTGGCCTTTCTATAGTTTTTACCATAGTGGCCATTATTATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTTTTGGAGTTTTAACCCAGAAACAAACAACTTGATGTGTATAGATATGAAAGGAACAATGTATGTTAGGCCGATAATTGAGGACTATCATACCCTGACGGTCACAATAATACGCGGTCATCTTTACATTCAAGGTATAAAACTAGGTATTGGCTATTCTTTGGCAGATTTGCCAGCTTATATGACTGTTGCTAAGGTTACACACCTGTGCACATATAAGCGTGGTTTTCTTGACAGGATAAGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTCCAAAGTCGGTAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCATGGACACCGCATTGTTGAGAAATAATATC >OC43_KLF_01_2018_NA_QDH43716_1_2018_01_18_Kenya_Human_Betacoronavirus_1 ATGAGTAGTAAACCTACACCAGCACCAGTTTATATCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAATTTTTCTTTGGGTATTATACTACTTTTTATTACAATCATATTGCAATATGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATTATTTTGTGGCTTATGTGGCCCATTACTATAATCTTAACTACTTTCAATTGCGTATACGCATTGAATAACGTGTATCTTGGCCTTTCTATAGTTTTTACCATAGTGGCCATTATTATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTTTTGGAGTTTTAACCCAGAAACAAACAACTTGATGTGTATAGATATGAAAGGAACAATGTATGTTAGGCCGATAATTGAGGACTATCATACCCTGACGGTCACAATAATACGCGGTCATCTTTATATTCAAGGTATAAAACTAGGTATTGGCTATTCTTTGGCAGATTTGCCAGCTTATATGTCTGTTGCTAAGGTTACACACCTGTGCACATATAAGCGTGGTTTTCTTGACAGGATAAGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTTCAAAGTCGGTAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCATGGACACCGCATTGTTGAGAAATAATATC >BCV_AKS_01_NA_ANJ04979_1_2015_05_30_China_Cattle_Betacoronavirus_1 ATGAGTAGTGTAACTACACCAGCACCAGTTTACACCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAACTTTTCTTTGGGTATTATACTACTTTTTATTACAGTCATATTGCAATTTGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATCATTTTGTGGCTTATGTGGCCCCTTACTATCATCTTAACTATTTTCAATTGCGTGTATGCGTTGAATAATGTGTATCTTGGCTTCTCTATAGTTTTTACTATAGTGGCCATTATCATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTGGTGGAGTTTCAACCCAGAAACAAACAACTTGATGTGTATAGATATGAAGGGAAGGATGTATGTTAGGCCGATAATTGAGGACTACCATACCCTTACGGTCACAATAATACGTGGTCATCTTTACATGCAAGGTATAAAACTAGGTACTGGCTATTCTTTGTCAGATTTGCCAGCTTATGTGACTGTTGCTAAGGTTTCACACCTGCTCACGTATAAGCGTGGTTTTCTTGACAAGATAGGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTCCAAAGTCGGTAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCATGGACACCGCATTGTTGAGAAATAATATC >IWT_14_M_BBM61062_1_2015_11_Japan_Unknown_Betacoronavirus_1 ATGAGTAGTGTAACTACACCAGCACCAGTTTACACCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAACTTTTCTTTGGGTATTATACTACTTTTTATTACAGTCATATTGCAATTTGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATCATTTTGTGGCTTATGTGGCCCCTTACTATCATCTTAACTATTTTCAATTGCGTGTATGCGTTGAATAATGTGTATCTTGGCTTCTCTATAGTTTTTACTATAGTGGCCATTATCATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTGGTGGAGCTTCAACCCAGAAACAAACAACTTGATGTGTATAGATATGAAGGGAAGGATGTATGTTAGGCCGATAATTGAGGACTACCATACCCTTACGGTCACAATAATACGTGGTCATCTTTACATGCAAGGTATAAAACTAGGTACTGGCTATTCTTTGTCAGATTTGCCAGCTTATGTGACTGTTGCTAAGGTCTCGCACCTGCTCACGTATAAGCGTGGTTTTCTTGACAAGATAGGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTCCAAAGTCGGTAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCTTGGACACCGCATTGTTGAGAAATAATATC >IWT_18_M_BBM61082_1_2016_12_Japan_Unknown_Betacoronavirus_1 ATGAGTAGTGTAACTACACCAGCACCAGTTTACACCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAACTTTTCTTTGGGTATTATACTACTTTTTATTACAGTCATATTGCAATTTGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATCATTTTGTGGCTTATGTGGCCCCTTACTATAATCTTAACTATTTTCAATTGCGTGTATGCGTTGAATAATGTGTATCTTGGCTTCTCTATAGTTTTTACTATAGTGGCCATTATCATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTGGTGGAGTTTCAACCCAGAAACAAACAACTTGATGGCTATAGATATGAAGGGAAGGATGTATGTTAGGCCGATAATTGAGGACTACCATACCCTTACGGTCACAATAATACGTGGTCATCTTTACATGCAAGGTATAAAACTAGGTACTGGCTATTCTTTGTCAGATTTGCCAGCTTATGTGACTGTTGCTAAGGTCTCGCACCTGCTCACGTATAAGCGTGGTTTTCTTGACAAGATAGGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTCCAAAGTCGGTAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCTTGGACACCGCATTGTTGAGAAATAATATC >OC43_human_USA_872_5_1987_M_AGT51673_1_1987_02_10_USA_Human_Betacoronavirus_1 ATGAGTAGTATAACTACACCAGCACCAGTTTATATCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAATTTTTCTTTGGGTATTATACTACTTTTTATTACAATCATATTGCAATTTGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATTATTTTGTGGCTTATGTGGCCCCTTACTATAATCTTAACTATTTTCAATTGCGTATATGCATTGAATAATGTGTATCTTGGCCTTTCTATAGTTTTTACCATAGTGGCCATTATTATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACCGGAAGTTTTTGGAGTTTCAACCCAGAAACAAACAACTTGATGTGTATAGATATGAAAGGAACAATGTTTGTTAGGCCGATAATTGAGGACTACCATACCCTGACGGTCACAATAATACGCGGCCATCTTTACATTCAAGGTATAAAACTAGGTACTGGCTATTCTTTGGCAGATTTGCCAGCTTATATGACTGTTGCTAAGGTTACATACCTGTGCACATATAAGCGTGGTTTTCTTGACAGGATAAGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTCCAAAGTCGGTAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCATGGACACCGCATTGTTGAGAAATAATATC >BCoV_LUN_M_AAL57312_1_NA_NA_Unknown_Betacoronavirus_1 ATGAGTAGTGTAACTACACCAGCACCTGTTTACACCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAACTTTTCTTTGGGTATTATACTACTTTTTATTACAGTCATATTGCAATTTGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATCATTTTGTGGCTTATGTGGCCCCTTACTATCATCTTAACTATTTTCAATTGCGTGTATGCGTTGAATAATGTGTATCTTGGCTTCTCTATAGTTTTTACTATAGTGGCCATTATCATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTGGTGGAGTTTCAACCCAGAAACAAACAACTTGATGTGTATAGATATGAAAGGAAGGATGTATGTTAGGCCGATAATTGAGGACTACCATACCCTTACGGTCACAATAATACGTGGTCATCTTTACATGCAAGGTATAAAACTAGGTACTGGCTATTCTTTGTCAGATTTGCCAGCTTATGTGACTGTTGCTAAGGTCTCGCACCTGCTCACGTATAAGCGTGGTTTTCTTGACAAGATAGGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTCCAAAGTCGGTAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCTTGGACACCGCATTGTTGAGAAATAATATC >IWT_2_M_BBM60962_1_2010_12_Japan_Unknown_Betacoronavirus_1 ATGAGTAGTGTAACTACACCAGCACCAGTTTACACCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAACTTTTCTTTGGGTATTATACTACTTTTTATTACAGTCATATTGCAATTTGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATTATTTTGTGGCTTATGTGGCCCCTTACTATCATCTTAACTATTTTCAATTGCGTGTATGCGTTGAATAATGTGTATCTTGGCTTTTCTATAGTTTTTACTATAGTGGCCATTATCATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTGGTGGAGTTTCAACCCAGAAACAAACAACTTGATGTGTATAGATATGAAGGGAAGGATGTATGTTAGGCCGATAATTGAGGACTACCATACCCTTACGGTCACAATAATACGTGGTCATCTTTACATGCAAGGTATAAAACTAGGTACTGGCTATTCTTTGTCAGATTTGCCAGCTTATGTGACTGTTGCTAAGGTCTCGCACCTGCTCACGTATAAGCGTGGTTTTCTTGACAAGATAGGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTCCAAAGTCGGTAACTACCGACTGCCATCAACCCAAAAGGGTTCTGGCTTGGACACCGCATTGTTGAGAAATAATATC >IWT_21_M_BBM61112_1_2016_12_Japan_Unknown_Betacoronavirus_1 ATGAGTAGTGTAACTACACCAGCACCAGTTTACACCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAATTTTTCTTTGGGTATTATACTACTTTTTATTACAGTCATATTGCAATTTGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATCATTTTGTGGCTTATGTGGCCCCTTACTATAATCTTAACTATTTTCAATTGCGTGTATGCGTTGAATAATGTGTATCTTGGCTTCTCTATAGTTTTTACTATAGTGGCCATTATCATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTGGTGGAGTTTCAACCCAGAAACAAACAACTTGATGGCTATAGATATGAAGGGAAGGATGTATGTTAGGCCGATAATTGAGGACTACCATACCCTTACGGTCACAATAATACGTGGTCATCTTTACTTGCAAGGTATAAAACTAGGTACTGGCTATTCTTTGTCAGATTTGCCAGCTTATGTGACTGTTGCTAAGGTCTCGCACCTGCTCACGTATAAGCGTGGTTTTCTTGACAAGATAGGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTCCAAAGTCGGTAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCTTGGACACCGCATTGTTGAGAAATAATATC >IWT_23_M_BBM61152_1_2016_12_Japan_Unknown_Betacoronavirus_1 ATGAGTAGTGTAACTACACCAGCACCAGTTTATACCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAACTTTTCTTTGGGTATTATACTACTTTTTATTACAGTCATATTGCAATTTGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATCATTTTGTGGCTTATGTGGCCCCTTACTATAATTTTAACTATTTTCAATTGCGTGTATGCGTTGAATAATGTGTATCTTGGCTTCTCTATAGTTTTTACTATAGTGGCCATTATCATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTGGTGGAGTTTCAACCCAGAAACAAACAACTTGATGTCTATAGATATGAAGGGAAGGATGTATGTTAGGCCGATAATTGAGGACTACCATACCCTTACGGTCACAATAATACGTGGTCATCTTTACATGCAAGGTATAAAACTAGGTACTGGCTATTCTTTGTCAGACTTGCCAGCTTATGTGAGTGTTGCTAAGGTCTCGCACCTGCTCACGTATAAGCGTGGTTTTCTTGACAAGATAGGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTCCAAAGTCGGTAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCTTGGACACCGCATTGTTGAGAAATAATATC >DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10636_1_2016_03_05_Morocco_Camel_Betacoronavirus_1 ATGAGTAGTATAACTACACCAGCACCAGTTTATACCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAATTTTTCTTTGGGTATTATACTACTTTTTATTACAATCATATTGCAATTTGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATTATTTTGTGGCTCATGTGGCCCCTTACTATAATCTTAATTATTTTCAATTGCGTATACGCGTTGAATAATGTGTACCTTGGCTTTTCTATAGTTTTTACTATAGTGGCCATTATTATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTGGTGGAGTTTCAACCCAGAAACAAACAACTTGATGTGTATAGATATGAAGGGAAGAATGTACGTTAGACCCATAATTGAGGATTACCATACCCTTACGGTTACAATAATACGTGGCCATCTTTATATTCAAGGTATAAAACTAGGTACTGGCTATTCCTTGTCAGATTTGCCAGCTTATGTGACTGTAGCTAAGGTTACACATTTGTGCACATATAAGCGTGGTTTTCTTGACAGGATAGGCGACACTAGTGGGTTTGCTGTTTATGTTAAGTCCAAAGTCGGTAACTACCGACTGCCATCAACCCAAAAGGGTTCAGGCATGGACACCGCATTGTTGAGAAATAATATC >IWT_26_M_BBM61182_1_2017_02_Japan_Unknown_Betacoronavirus_1 ATGAGTAGTGTAACTACACCAGCACCAGTTTATACCTGGACTGCTGATGAAGCTATTAAATTCCTAAAGGAATGGAACTTTTCTTTGGGTATTATACTACTTTTTATTACAGTCATATTGCAATTTGGATATACAAGTCGCAGTATGTTTGTTTATGTTATTAAGATGATCATTTTGTGGCTTATGTGGCCCCTTACTATAATTTTAACTATTTTCAATTGCGTGTATGCGTTGAATAATGTGTATCTTGGCTTCTCTATAGTTTTTACTATAGTGGCCATTATCATGTGGATTGTGTATTTTGTGAATAGTATCAGGTTGTTTATTAGAACTGGAAGTTGGTGGAGTTTCAACCCAGAAACAAACAACTTGATGTCTATAGATATGAAGGGAAGGATGTATGTTAGGCCGATAATTGAGGACTACCATACCCTTACGGTCACAATAATACGTGGTCATCTTTACATGCAAGGTATAAAACTAGGTACTGGCTATTCTTTGTCAGACTTGCCAGCTTATGTGAGTGTTGCTAAGGTCTCGCACCTGCTCACGTATAAGCGTGGTTTTCTTGACAAGATAGGCGATACTAGTGGTTTTGCTGTTTATGTTAAGTCCAAAGTCGGTAATTACCGACTGCCATCAACCCAAAAGGGTTCTGGCTTGGACACCGCATTGTTGAGAAATAATATC
>MDS6_M_QBP84707_1_NA_NA_Unknown_Betacoronavirus_1 MSSKPTPAPVYIWTADEAIKFLKEWNFSLGIILLFITIILQYGYTSRSMFVYVIKMIILWLMWPITIILTTFNCVYALNNVYLGLSIVFTIVAIIMWIVYFVNSIRLFIRTGSFWSFNPETNNLMCIDMKGTMYVRPIIEDYHTLTVTIIRGHLYIQGIKLGIGYSLADLPAYMSVAKVTHLCTYKRGFLDRISDTSGFAVYVKFKVGNYRLPSTQKGSGMDTALLRNNI >MY_U208_12_M_AQN78667_1_2012_03_28_Malaysia_Human_Betacoronavirus_1 MSSKPTPAPVYIWTADEAIKFLKEWNFSLGIILLFITIILQYGYTSRSMFVYVIKMIILWLMWPITIILTTFNCVYALNNVYLGLSIVFTIVAIIMWIVYFVNSIRLFIRTGSFWSFNPETNNLMCIDMKGTMYVRPIIEDYHTLTVTIIRGHLYIQGIKLGIGYSLADLPAYMSVAKVTHLCTYKRGFLDRISDTSGFAVYVKFKVGNYRLPSTQKGSGMDTALLRNNI >MY_U236_12_M_AQN78675_1_2012_04_02_Malaysia_Human_Betacoronavirus_1 MSSKPTPAPVYIWTADEAIKFLKEWNFSLGIILLFITIILQYGYTSRSMFVYVIKMIILWLMWPITIILTTFNCVYALNNVYLGLSIVFTIVAIIMWIVYFVNSIRLFIRTGSFWSFNPETNNLMCIDMKGTMYVRPIIEDYHTLTVTIIRGHLYIQGIKLGIGYSLADLPAYMSVAKVTHLCTYKRGFLDRISDTSGFAVYVKFKVGNYRLPSTQKGSGMDTALLRNNI >HCoV_OC43_USA_TCNP_0070_2016_M_ATN39867_1_2016_02_01_USA_Human_Betacoronavirus_1 MSSKPTPAPVYIWTADEAIKFLKEWNFSLGIILLFITIILQYGYTSRSMFVYVIKMIILWIMWPITIILTTFNCVYALNNVYLGLSIVFTIVAIIMWIVYFVNSIRLFIRTGSFWSFNPETNNLMCIDMKGTMYVRPIIEDYHTLTVTIIRGHLYIQGIKLGIGYSLADLPAYMSVAKVTHLCTYKRGFLDRISDTSGFAVYVKFKVGNYRLPSTQKGSGMDTALLRNNI >4_17_25_M_AVZ61114_1_2017_04_USA_Cattle_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILWLMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPETNNLMSIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVSVAKVSHLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI >HK04_02_M_AEN19369_1_2004_11_China_Human_Betacoronavirus_1 MSSKTTPAPVYIWTADEAIKFLKEWNFSLGIILLFITIILQYGYTSRSMFVYVIKMIILWLMWPITIILTTFNCVYALNNVYLGLSIVFTIVAIIMWIVYFVNSIRLFIRTGSFWSFNPETNNLMCIDMKGTMYVRPIIEDYHTLTVTIIRGHLYIQGIKLGIGYSLADLPAYMTVAKVTHLCTYKRGFLDRISDTSGFAVYVKSKVGNYRLPSTQKGSGMDTALLRNNI >MY_U464_12_M_AQN78691_1_2012_05_09_Malaysia_Human_Betacoronavirus_1 MSSKPTPAPVYIWTADEAIKFLKEWNFSLGIILLFITIILQYGYTSRSMFVYVIKMIILWLMWPITIILTTFNCVYALNNVYLGLSIVFTIVAIIMWIVYFVNSIRLFIRTGSFWSFNPETNNLMCIDMKGTMYVRPIIEDYHTLTVTIIRGHLYIQGIKLGIGYSLADLPAYMSVAKVTHLCTYKRGFLDRISDTSGFAVYVKFKVGNYRLPSTQKGSGMDTALLRNNI >HKU23_265F_M_AHN64777_1_2013_04_03_United_Arab_Emirates_Camel_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITIILQFGYTSRSMFVYVIKMIILWLMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPETNNLMCIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVTVAKVSHLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGMDTALLRNNI >4_17_03_M_AVZ61104_1_2017_04_USA_Cattle_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILWLMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPETNNLMSIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVSVAKVSHLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI >BCOV_China_SWUN_A10_2018_NA_QOV05171_1_2018_11_01_China_Cattle_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILWLMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPETNNLMSIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVSVAKVSHLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI >7_16_23_M_AVZ61134_1_2016_07_USA_Cattle_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILWLMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPETNNLMSIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVSVAKVSHLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI >ICSA16_LBA_M_AVI15027_1_2014_France_Cattle_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMILLWLMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPETNNLMCIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVTVAKVSHLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGMDTALLRNNI >ICSA_pool_EN_M_AVI15038_1_2014_France_Cattle_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMILLWLMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPETNNLMCIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVTVAKVSHLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGMDTALLRNNI >Mebus_M_AAK29779_2_NA_NA_Unknown_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITIILQFGYTSRSMFVYVIKMIILWLMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPETNNLMCIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVTVAKVSHLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGMDTALLRNNI >87309_Belgium_2003_M_AAX85672_1_NA_Belgium_Unknown_Betacoronavirus_1 MSSKTTPAPVYIWTADEAIKFLKEWNFSLGIILLFITIILQYGYTSRSMFVYVIKMIILWLMWPITIILTTFNCVYALNNVYLGLSIVFTIVAIIMWIVYFVNSIRLFIRTGSFWSFNPETNNLMCIDMKGTMYVRPIIEDYHTLTVTIIRGHLYIQGIKLGIGYSLADLPAYMTVAKVTHLCTYKRGFLDRISDTSGFAVYVKSKVGNYRLPSTQKGSGMDTALLRNNI >IWT_13_M_BBM61052_1_2015_06_Japan_Unknown_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILWLMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPETNNLMCIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVTVAKVSHLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI >4_17_08_M_AVZ61124_1_2017_04_USA_Cattle_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILWLMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPETNNLMSIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVSVAKVSHLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI >IWT_12_M_BBM61042_1_2015_05_Japan_Unknown_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILWLMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPETNNLMCIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVTVAKVSHLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI >OC43_human_USA_007_11_2000_M_AGT51494_1_2000_07_27_USA_Human_Betacoronavirus_1 MSSKTTPAPVYIWTADEAIKFLKEWNFSLGIILLFITIILQYGYTSRSMFVYVIKMIILWLMWPITIILTTFNCVYALNNVYLGLSIVFTIVAIIMWIVYFVNSIRLFIRTGSFWSFNPETNNLMCIDMKGTMYVRPIIEDYHTLTVTIIRGHLYIQGIKLGIGYSLADLPAYMTVAKVTHLCTYKRGFLDRISDTSGFAVYVKSKVGNYRLPSTQKGSGMDTALLRNNI >OC43_KLF_01_2018_NA_QDH43716_1_2018_01_18_Kenya_Human_Betacoronavirus_1 MSSKPTPAPVYIWTADEAIKFLKEWNFSLGIILLFITIILQYGYTSRSMFVYVIKMIILWLMWPITIILTTFNCVYALNNVYLGLSIVFTIVAIIMWIVYFVNSIRLFIRTGSFWSFNPETNNLMCIDMKGTMYVRPIIEDYHTLTVTIIRGHLYIQGIKLGIGYSLADLPAYMSVAKVTHLCTYKRGFLDRISDTSGFAVYVKFKVGNYRLPSTQKGSGMDTALLRNNI >BCV_AKS_01_NA_ANJ04979_1_2015_05_30_China_Cattle_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILWLMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPETNNLMCIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVTVAKVSHLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGMDTALLRNNI >IWT_14_M_BBM61062_1_2015_11_Japan_Unknown_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILWLMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPETNNLMCIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVTVAKVSHLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI >IWT_18_M_BBM61082_1_2016_12_Japan_Unknown_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILWLMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPETNNLMAIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVTVAKVSHLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI >OC43_human_USA_872_5_1987_M_AGT51673_1_1987_02_10_USA_Human_Betacoronavirus_1 MSSITTPAPVYIWTADEAIKFLKEWNFSLGIILLFITIILQFGYTSRSMFVYVIKMIILWLMWPLTIILTIFNCVYALNNVYLGLSIVFTIVAIIMWIVYFVNSIRLFIRTGSFWSFNPETNNLMCIDMKGTMFVRPIIEDYHTLTVTIIRGHLYIQGIKLGTGYSLADLPAYMTVAKVTYLCTYKRGFLDRISDTSGFAVYVKSKVGNYRLPSTQKGSGMDTALLRNNI >BCoV_LUN_M_AAL57312_1_NA_NA_Unknown_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILWLMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPETNNLMCIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVTVAKVSHLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI >IWT_2_M_BBM60962_1_2010_12_Japan_Unknown_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILWLMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPETNNLMCIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVTVAKVSHLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI >IWT_21_M_BBM61112_1_2016_12_Japan_Unknown_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILWLMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPETNNLMAIDMKGRMYVRPIIEDYHTLTVTIIRGHLYLQGIKLGTGYSLSDLPAYVTVAKVSHLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI >IWT_23_M_BBM61152_1_2016_12_Japan_Unknown_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILWLMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPETNNLMSIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVSVAKVSHLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI >DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10636_1_2016_03_05_Morocco_Camel_Betacoronavirus_1 MSSITTPAPVYTWTADEAIKFLKEWNFSLGIILLFITIILQFGYTSRSMFVYVIKMIILWLMWPLTIILIIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPETNNLMCIDMKGRMYVRPIIEDYHTLTVTIIRGHLYIQGIKLGTGYSLSDLPAYVTVAKVTHLCTYKRGFLDRIGDTSGFAVYVKSKVGNYRLPSTQKGSGMDTALLRNNI >IWT_26_M_BBM61182_1_2017_02_Japan_Unknown_Betacoronavirus_1 MSSVTTPAPVYTWTADEAIKFLKEWNFSLGIILLFITVILQFGYTSRSMFVYVIKMIILWLMWPLTIILTIFNCVYALNNVYLGFSIVFTIVAIIMWIVYFVNSIRLFIRTGSWWSFNPETNNLMSIDMKGRMYVRPIIEDYHTLTVTIIRGHLYMQGIKLGTGYSLSDLPAYVSVAKVSHLLTYKRGFLDKIGDTSGFAVYVKSKVGNYRLPSTQKGSGLDTALLRNNI
Reading sequence file /data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10636_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/codeml/fasta/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10636_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1
Found 30 sequences of length 690
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 3.7%
Found 61 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 56 polymorphic sites
**p-Value(s)**
----------
NSS: 4.23e-01 (1000 permutations)
Max Chi^2: 9.47e-01 (1000 permutations)
PHI (Permutation): 8.52e-01 (1000 permutations)
PHI (Normal): 7.98e-01
#NEXUS
[ID: 7982266939]
begin taxa;
dimensions ntax=30;
taxlabels
ICSA16_LBA_M_AVI15027_1_2014_France_Cattle_Betacoronavirus_1
7_16_23_M_AVZ61134_1_2016_07_USA_Cattle_Betacoronavirus_1
ICSA_pool_EN_M_AVI15038_1_2014_France_Cattle_Betacoronavirus_1
4_17_08_M_AVZ61124_1_2017_04_USA_Cattle_Betacoronavirus_1
IWT_13_M_BBM61052_1_2015_06_Japan_Unknown_Betacoronavirus_1
IWT_12_M_BBM61042_1_2015_05_Japan_Unknown_Betacoronavirus_1
IWT_14_M_BBM61062_1_2015_11_Japan_Unknown_Betacoronavirus_1
BCV_AKS_01_NA_ANJ04979_1_2015_05_30_China_Cattle_Betacoronavirus_1
IWT_21_M_BBM61112_1_2016_12_Japan_Unknown_Betacoronavirus_1
IWT_2_M_BBM60962_1_2010_12_Japan_Unknown_Betacoronavirus_1
HCoV_OC43_USA_TCNP_0070_2016_M_ATN39867_1_2016_02_01_USA_Human_Betacoronavirus_1
IWT_26_M_BBM61182_1_2017_02_Japan_Unknown_Betacoronavirus_1
HKU23_265F_M_AHN64777_1_2013_04_03_United_Arab_Emirates_Camel_Betacoronavirus_1
MDS6_M_QBP84707_1_NA_NA_Unknown_Betacoronavirus_1
MY_U236_12_M_AQN78675_1_2012_04_02_Malaysia_Human_Betacoronavirus_1
MY_U208_12_M_AQN78667_1_2012_03_28_Malaysia_Human_Betacoronavirus_1
HK04_02_M_AEN19369_1_2004_11_China_Human_Betacoronavirus_1
4_17_25_M_AVZ61114_1_2017_04_USA_Cattle_Betacoronavirus_1
MY_U464_12_M_AQN78691_1_2012_05_09_Malaysia_Human_Betacoronavirus_1
BCOV_China_SWUN_A10_2018_NA_QOV05171_1_2018_11_01_China_Cattle_Betacoronavirus_1
Mebus_M_AAK29779_2_NA_NA_Unknown_Betacoronavirus_1
87309_Belgium_2003_M_AAX85672_1_NA_Belgium_Unknown_Betacoronavirus_1
OC43_KLF_01_2018_NA_QDH43716_1_2018_01_18_Kenya_Human_Betacoronavirus_1
OC43_human_USA_007_11_2000_M_AGT51494_1_2000_07_27_USA_Human_Betacoronavirus_1
BCoV_LUN_M_AAL57312_1_NA_NA_Unknown_Betacoronavirus_1
IWT_18_M_BBM61082_1_2016_12_Japan_Unknown_Betacoronavirus_1
OC43_human_USA_872_5_1987_M_AGT51673_1_1987_02_10_USA_Human_Betacoronavirus_1
4_17_03_M_AVZ61104_1_2017_04_USA_Cattle_Betacoronavirus_1
DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10636_1_2016_03_05_Morocco_Camel_Betacoronavirus_1
IWT_23_M_BBM61152_1_2016_12_Japan_Unknown_Betacoronavirus_1
;
end;
begin trees;
translate
1 ICSA16_LBA_M_AVI15027_1_2014_France_Cattle_Betacoronavirus_1,
2 7_16_23_M_AVZ61134_1_2016_07_USA_Cattle_Betacoronavirus_1,
3 ICSA_pool_EN_M_AVI15038_1_2014_France_Cattle_Betacoronavirus_1,
4 4_17_08_M_AVZ61124_1_2017_04_USA_Cattle_Betacoronavirus_1,
5 IWT_13_M_BBM61052_1_2015_06_Japan_Unknown_Betacoronavirus_1,
6 IWT_12_M_BBM61042_1_2015_05_Japan_Unknown_Betacoronavirus_1,
7 IWT_14_M_BBM61062_1_2015_11_Japan_Unknown_Betacoronavirus_1,
8 BCV_AKS_01_NA_ANJ04979_1_2015_05_30_China_Cattle_Betacoronavirus_1,
9 IWT_21_M_BBM61112_1_2016_12_Japan_Unknown_Betacoronavirus_1,
10 IWT_2_M_BBM60962_1_2010_12_Japan_Unknown_Betacoronavirus_1,
11 HCoV_OC43_USA_TCNP_0070_2016_M_ATN39867_1_2016_02_01_USA_Human_Betacoronavirus_1,
12 IWT_26_M_BBM61182_1_2017_02_Japan_Unknown_Betacoronavirus_1,
13 HKU23_265F_M_AHN64777_1_2013_04_03_United_Arab_Emirates_Camel_Betacoronavirus_1,
14 MDS6_M_QBP84707_1_NA_NA_Unknown_Betacoronavirus_1,
15 MY_U236_12_M_AQN78675_1_2012_04_02_Malaysia_Human_Betacoronavirus_1,
16 MY_U208_12_M_AQN78667_1_2012_03_28_Malaysia_Human_Betacoronavirus_1,
17 HK04_02_M_AEN19369_1_2004_11_China_Human_Betacoronavirus_1,
18 4_17_25_M_AVZ61114_1_2017_04_USA_Cattle_Betacoronavirus_1,
19 MY_U464_12_M_AQN78691_1_2012_05_09_Malaysia_Human_Betacoronavirus_1,
20 BCOV_China_SWUN_A10_2018_NA_QOV05171_1_2018_11_01_China_Cattle_Betacoronavirus_1,
21 Mebus_M_AAK29779_2_NA_NA_Unknown_Betacoronavirus_1,
22 87309_Belgium_2003_M_AAX85672_1_NA_Belgium_Unknown_Betacoronavirus_1,
23 OC43_KLF_01_2018_NA_QDH43716_1_2018_01_18_Kenya_Human_Betacoronavirus_1,
24 OC43_human_USA_007_11_2000_M_AGT51494_1_2000_07_27_USA_Human_Betacoronavirus_1,
25 BCoV_LUN_M_AAL57312_1_NA_NA_Unknown_Betacoronavirus_1,
26 IWT_18_M_BBM61082_1_2016_12_Japan_Unknown_Betacoronavirus_1,
27 OC43_human_USA_872_5_1987_M_AGT51673_1_1987_02_10_USA_Human_Betacoronavirus_1,
28 4_17_03_M_AVZ61104_1_2017_04_USA_Cattle_Betacoronavirus_1,
29 DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10636_1_2016_03_05_Morocco_Camel_Betacoronavirus_1,
30 IWT_23_M_BBM61152_1_2016_12_Japan_Unknown_Betacoronavirus_1
;
[Note: This tree contains information on the topology,
branch lengths (if present), and the probability
of the partition indicated by the branch.]
tree con_50_majrule = (1:6.607684e-04,3:6.872131e-04,(((((((2:2.666733e-03,4:6.831429e-04)0.958:1.673397e-03,18:6.953661e-04,20:1.656319e-03,28:1.665495e-03)0.974:1.691545e-03,((9:2.602972e-03,26:6.833428e-04)0.986:1.670734e-03,(12:6.342742e-04,30:6.933356e-04)1.000:4.662466e-03)0.984:1.705447e-03)0.982:1.664275e-03,5:6.698064e-04,6:1.718247e-03,7:1.607832e-03,10:3.584027e-03,25:2.615315e-03)1.000:3.204730e-03,8:9.965578e-04)0.926:2.669158e-03,(((((11:1.721564e-03,14:6.879671e-04,15:6.875184e-04,16:7.339777e-04,19:7.349038e-04,23:7.010648e-04)1.000:3.731940e-03,17:7.501196e-04)0.998:2.710154e-03,22:1.732406e-03,24:6.608601e-04)1.000:9.700372e-03,27:4.228565e-03)1.000:1.559940e-02,29:1.985128e-02)1.000:1.744101e-02,21:1.987168e-03)0.957:3.966585e-03,13:2.930205e-03)1.000:8.644169e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:6.607684e-04,3:6.872131e-04,(((((((2:2.666733e-03,4:6.831429e-04):1.673397e-03,18:6.953661e-04,20:1.656319e-03,28:1.665495e-03):1.691545e-03,((9:2.602972e-03,26:6.833428e-04):1.670734e-03,(12:6.342742e-04,30:6.933356e-04):4.662466e-03):1.705447e-03):1.664275e-03,5:6.698064e-04,6:1.718247e-03,7:1.607832e-03,10:3.584027e-03,25:2.615315e-03):3.204730e-03,8:9.965578e-04):2.669158e-03,(((((11:1.721564e-03,14:6.879671e-04,15:6.875184e-04,16:7.339777e-04,19:7.349038e-04,23:7.010648e-04):3.731940e-03,17:7.501196e-04):2.710154e-03,22:1.732406e-03,24:6.608601e-04):9.700372e-03,27:4.228565e-03):1.559940e-02,29:1.985128e-02):1.744101e-02,21:1.987168e-03):3.966585e-03,13:2.930205e-03):8.644169e-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 -1624.46 -1653.34
2 -1622.28 -1649.05
--------------------------------------
TOTAL -1622.86 -1652.66
--------------------------------------
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} 0.171515 0.000525 0.126747 0.214228 0.169946 1274.42 1347.41 1.000
r(A<->C){all} 0.078450 0.000908 0.022342 0.135664 0.075101 819.22 824.81 1.000
r(A<->G){all} 0.149586 0.001341 0.084035 0.220281 0.147364 589.65 645.51 1.000
r(A<->T){all} 0.071417 0.000412 0.034932 0.112173 0.069800 983.22 1014.65 1.000
r(C<->G){all} 0.072375 0.001099 0.015355 0.136772 0.068032 554.14 636.92 1.000
r(C<->T){all} 0.545520 0.002810 0.447635 0.652978 0.546743 657.92 786.00 1.000
r(G<->T){all} 0.082653 0.000628 0.038360 0.131316 0.079603 776.30 786.47 1.001
pi(A){all} 0.280127 0.000264 0.249623 0.311895 0.279858 1080.18 1169.26 1.000
pi(C){all} 0.159895 0.000177 0.135794 0.188141 0.159833 1105.15 1157.66 1.000
pi(G){all} 0.201918 0.000210 0.173985 0.230158 0.201937 1200.41 1278.89 1.000
pi(T){all} 0.358059 0.000309 0.324062 0.392437 0.357969 1259.97 1275.22 1.000
alpha{1,2} 0.878937 0.598491 0.006594 2.424677 0.642234 1096.69 1186.62 1.001
alpha{3} 1.226214 0.962731 0.035686 3.213657 0.930598 951.90 994.81 1.001
pinvar{all} 0.374884 0.027155 0.021835 0.623621 0.397279 606.62 701.41 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_QEY10636_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 = 230
Codon usage in sequences
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 10 10 10 10 9 10 | Ser TCT 5 5 5 5 6 4 | Tyr TAT 13 13 13 13 10 13 | Cys TGT 1 1 1 1 0 1
TTC 3 3 3 3 4 2 | TCC 0 0 0 0 1 1 | TAC 2 2 2 2 4 2 | TGC 2 2 2 2 1 2
Leu TTA 1 1 1 1 1 1 | TCA 1 1 1 1 2 1 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 10 10 10 10 11 10 | TCG 0 0 0 0 1 0 | TAG 0 0 0 0 0 0 | Trp TGG 6 6 6 6 7 6
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 6 6 6 5 7 6 | Pro CCT 1 1 1 1 0 0 | His CAT 2 2 2 2 2 2 | Arg CGT 1 1 1 1 2 1
CTC 0 0 0 0 1 0 | CCC 1 1 1 1 1 1 | CAC 1 1 1 1 1 1 | CGC 2 2 2 2 1 2
CTA 3 3 3 3 3 3 | CCA 5 5 5 5 5 5 | Gln CAA 3 3 3 3 3 3 | CGA 1 1 1 1 1 1
CTG 3 3 3 3 2 3 | CCG 1 1 1 1 1 1 | CAG 0 0 0 0 0 0 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 14 14 14 15 10 14 | Thr ACT 6 6 6 6 8 8 | Asn AAT 7 7 7 7 7 7 | Ser AGT 8 8 8 8 8 8
ATC 5 5 5 5 6 5 | ACC 4 4 4 4 4 4 | AAC 4 4 4 4 4 4 | AGC 1 1 1 1 0 1
ATA 11 11 11 11 10 11 | ACA 8 8 8 8 5 8 | Lys AAA 5 5 5 5 3 5 | Arg AGA 2 2 2 2 2 2
Met ATG 10 10 10 10 9 10 | ACG 1 1 1 1 2 1 | AAG 6 6 6 6 8 6 | AGG 3 3 3 3 3 3
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 9 9 9 9 8 9 | Ala GCT 5 5 5 5 5 5 | Asp GAT 4 4 4 4 4 4 | Gly GGT 8 8 8 8 8 8
GTC 2 2 2 2 4 2 | GCC 1 1 1 1 1 1 | GAC 3 3 3 3 3 3 | GGC 3 3 3 3 4 3
GTA 1 1 1 1 1 1 | GCA 4 4 4 4 2 4 | Glu GAA 3 3 3 3 3 3 | GGA 3 3 3 3 3 3
GTG 4 4 4 4 6 4 | GCG 0 0 0 0 1 0 | GAG 1 1 1 1 1 1 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 10 10 9 9 9 10 | Ser TCT 5 5 6 6 6 5 | Tyr TAT 13 10 10 10 10 9 | Cys TGT 1 1 0 0 0 1
TTC 3 3 4 4 4 3 | TCC 0 1 1 1 1 1 | TAC 2 4 4 4 4 5 | TGC 2 1 1 1 1 1
Leu TTA 1 1 1 1 2 1 | TCA 1 2 2 2 2 2 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 10 10 11 11 10 10 | TCG 0 0 1 1 1 0 | TAG 0 0 0 0 0 0 | Trp TGG 6 7 7 7 7 7
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 6 7 7 7 8 8 | Pro CCT 1 1 0 0 0 1 | His CAT 2 1 3 2 2 1 | Arg CGT 1 2 2 2 2 2
CTC 0 1 1 1 0 1 | CCC 1 1 1 1 1 1 | CAC 1 2 0 1 1 2 | CGC 2 1 1 1 1 1
CTA 3 3 3 3 3 3 | CCA 5 5 5 5 5 5 | Gln CAA 3 3 3 3 3 3 | CGA 1 1 1 1 1 1
CTG 3 2 2 2 2 2 | CCG 1 0 1 1 1 0 | CAG 0 0 0 0 0 0 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 14 11 10 10 10 9 | Thr ACT 6 9 8 9 8 9 | Asn AAT 7 8 7 7 7 7 | Ser AGT 8 8 8 8 8 8
ATC 5 6 6 6 6 6 | ACC 4 4 4 4 4 4 | AAC 4 3 4 4 4 4 | AGC 1 0 0 0 0 0
ATA 11 10 10 10 10 10 | ACA 8 5 5 5 5 5 | Lys AAA 5 3 3 3 3 4 | Arg AGA 2 2 2 2 2 2
Met ATG 10 10 9 9 9 10 | ACG 1 2 2 1 2 2 | AAG 6 8 8 8 8 7 | AGG 3 3 3 3 3 3
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 9 9 8 8 8 8 | Ala GCT 5 5 5 5 5 6 | Asp GAT 4 4 4 4 4 4 | Gly GGT 8 8 8 8 7 8
GTC 2 2 4 4 4 3 | GCC 1 1 1 1 1 1 | GAC 3 3 3 3 3 3 | GGC 3 4 4 4 5 4
GTA 1 1 1 1 1 2 | GCA 4 2 2 2 2 2 | Glu GAA 3 3 3 3 3 3 | GGA 3 3 3 3 3 3
GTG 4 6 6 6 6 6 | GCG 0 1 1 1 1 0 | GAG 1 1 1 1 1 1 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 10 9 10 9 9 9 | Ser TCT 5 4 4 4 6 4 | Tyr TAT 9 10 12 10 10 11 | Cys TGT 1 1 1 1 0 1
TTC 3 4 2 4 4 4 | TCC 1 1 1 1 1 1 | TAC 5 4 3 4 4 3 | TGC 1 1 2 1 1 1
Leu TTA 1 1 1 1 1 1 | TCA 2 3 1 2 2 2 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 10 10 9 11 11 11 | TCG 0 0 0 1 1 1 | TAG 0 0 0 0 0 0 | Trp TGG 7 7 6 7 7 7
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 8 7 6 7 7 7 | Pro CCT 1 0 0 0 0 0 | His CAT 1 2 2 2 2 2 | Arg CGT 2 2 1 2 2 2
CTC 1 1 0 1 1 1 | CCC 1 1 1 1 1 1 | CAC 2 1 1 1 1 1 | CGC 1 1 2 1 1 1
CTA 3 3 3 3 3 3 | CCA 5 5 5 5 5 5 | Gln CAA 3 3 3 3 3 3 | CGA 1 1 1 1 1 1
CTG 2 2 4 2 2 2 | CCG 0 1 1 1 1 1 | CAG 0 0 0 0 0 0 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 9 10 14 10 10 10 | Thr ACT 9 9 8 9 8 9 | Asn AAT 7 7 8 7 7 7 | Ser AGT 8 8 8 8 8 8
ATC 6 7 5 6 6 6 | ACC 4 4 4 4 4 4 | AAC 4 4 3 4 4 4 | AGC 0 0 1 0 0 0
ATA 10 10 11 10 10 10 | ACA 5 5 8 5 5 5 | Lys AAA 4 3 5 3 3 3 | Arg AGA 2 2 2 2 2 2
Met ATG 10 10 10 9 9 9 | ACG 2 2 1 2 2 2 | AAG 7 8 6 8 8 8 | AGG 3 3 3 3 3 3
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 8 8 9 8 8 8 | Ala GCT 6 5 5 5 5 5 | Asp GAT 4 4 4 4 4 4 | Gly GGT 8 8 8 8 7 8
GTC 3 3 2 4 4 4 | GCC 1 1 1 1 1 1 | GAC 3 3 3 3 3 3 | GGC 4 4 3 4 5 4
GTA 2 1 1 1 1 1 | GCA 2 2 4 2 2 2 | Glu GAA 3 3 3 3 3 3 | GGA 3 3 3 3 3 3
GTG 6 6 4 6 6 6 | GCG 0 1 0 1 1 1 | GAG 1 1 1 1 1 1 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 10 10 9 9 9 11 | Ser TCT 4 5 4 4 4 4 | Tyr TAT 12 13 10 10 10 10 | Cys TGT 1 1 1 1 0 1
TTC 2 3 4 4 4 3 | TCC 1 0 1 1 1 1 | TAC 3 2 4 4 4 4 | TGC 2 2 1 1 1 2
Leu TTA 1 1 1 1 1 1 | TCA 1 1 3 2 2 1 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 10 10 10 11 11 10 | TCG 0 0 0 1 1 0 | TAG 0 0 0 0 0 0 | Trp TGG 6 6 7 7 7 6
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 6 6 7 7 7 7 | Pro CCT 0 1 0 0 0 0 | His CAT 2 2 2 2 2 2 | Arg CGT 1 1 2 2 2 1
CTC 0 0 1 1 1 0 | CCC 1 1 1 1 1 1 | CAC 1 1 1 1 1 0 | CGC 2 2 1 1 1 2
CTA 3 3 3 3 3 3 | CCA 5 5 5 5 5 5 | Gln CAA 3 3 3 3 3 3 | CGA 1 1 1 1 1 1
CTG 3 3 2 2 2 3 | CCG 1 1 1 1 1 1 | CAG 0 0 0 0 0 0 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 14 14 10 10 10 13 | Thr ACT 8 6 9 9 9 7 | Asn AAT 8 7 7 7 7 8 | Ser AGT 8 8 8 7 8 8
ATC 5 5 6 6 5 5 | ACC 4 4 4 4 4 5 | AAC 3 4 4 4 4 3 | AGC 1 1 0 1 0 1
ATA 11 11 10 10 11 12 | ACA 8 8 5 5 5 8 | Lys AAA 5 5 3 3 3 4 | Arg AGA 2 2 2 2 2 2
Met ATG 10 10 10 9 9 10 | ACG 1 1 2 2 2 1 | AAG 6 6 8 8 8 6 | AGG 3 3 3 3 3 3
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 9 9 9 8 8 9 | Ala GCT 5 5 5 5 6 5 | Asp GAT 4 4 4 4 4 4 | Gly GGT 8 8 8 8 8 7
GTC 2 2 3 4 4 2 | GCC 1 1 1 1 1 1 | GAC 3 3 3 3 3 3 | GGC 3 3 4 4 4 4
GTA 1 1 1 1 1 1 | GCA 4 4 2 2 2 4 | Glu GAA 3 3 3 3 3 3 | GGA 3 3 3 3 3 3
GTG 4 4 6 6 6 4 | GCG 0 0 1 1 1 0 | GAG 1 1 1 1 1 1 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 9 10 9 9 10 9 | Ser TCT 4 4 4 5 2 5 | Tyr TAT 10 10 10 11 9 11 | Cys TGT 1 1 0 0 1 0
TTC 4 3 4 4 3 4 | TCC 1 1 1 1 2 1 | TAC 4 4 4 3 5 3 | TGC 1 1 1 1 2 1
Leu TTA 1 1 1 1 1 1 | TCA 2 2 2 2 3 2 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 11 11 12 11 11 11 | TCG 1 1 1 1 0 1 | TAG 0 0 0 0 0 0 | Trp TGG 7 7 7 7 7 7
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 7 7 7 7 6 7 | Pro CCT 1 0 0 0 0 0 | His CAT 2 2 2 2 3 2 | Arg CGT 2 2 2 2 2 2
CTC 1 1 1 1 1 1 | CCC 1 1 1 1 2 1 | CAC 1 1 1 1 0 1 | CGC 1 1 1 1 1 1
CTA 3 3 3 3 3 3 | CCA 4 5 5 5 5 5 | Gln CAA 3 3 3 3 3 3 | CGA 1 1 1 1 1 1
CTG 2 2 2 2 1 2 | CCG 1 1 1 1 0 1 | CAG 0 0 0 0 0 0 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 10 11 10 11 14 11 | Thr ACT 9 9 9 8 8 8 | Asn AAT 7 6 8 7 7 7 | Ser AGT 8 8 8 9 8 9
ATC 6 5 5 4 4 4 | ACC 4 4 4 4 4 4 | AAC 4 5 3 4 4 4 | AGC 0 0 0 0 0 0
ATA 10 10 11 11 12 11 | ACA 5 5 5 5 7 5 | Lys AAA 4 3 3 3 3 3 | Arg AGA 2 2 2 2 4 2
Met ATG 9 9 8 9 9 9 | ACG 2 2 2 2 1 2 | AAG 7 8 8 8 7 8 | AGG 3 3 3 3 2 3
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 8 8 8 8 9 8 | Ala GCT 5 5 6 5 5 5 | Asp GAT 4 4 4 3 4 3 | Gly GGT 8 8 8 8 6 8
GTC 4 4 4 4 1 4 | GCC 1 1 1 1 1 1 | GAC 3 3 3 4 3 4 | GGC 4 4 4 4 5 4
GTA 1 1 1 1 2 1 | GCA 2 2 2 2 2 2 | Glu GAA 3 3 3 3 3 3 | GGA 3 3 3 3 3 3
GTG 6 6 6 6 5 6 | GCG 1 1 1 1 1 1 | GAG 1 1 1 1 1 1 | GGG 0 0 0 0 1 0
--------------------------------------------------------------------------------------------------------------------------------------
Codon position x base (3x4) table for each sequence.
#1: C107
position 1: T:0.23478 C:0.13043 A:0.41304 G:0.22174
position 2: T:0.40000 C:0.18696 A:0.23478 G:0.17826
position 3: T:0.43478 C:0.14783 A:0.22174 G:0.19565
Average T:0.35652 C:0.15507 A:0.28986 G:0.19855
#2: C114
position 1: T:0.23478 C:0.13043 A:0.41304 G:0.22174
position 2: T:0.40000 C:0.18696 A:0.23478 G:0.17826
position 3: T:0.43478 C:0.14783 A:0.22174 G:0.19565
Average T:0.35652 C:0.15507 A:0.28986 G:0.19855
#3: C115
position 1: T:0.23478 C:0.13043 A:0.41304 G:0.22174
position 2: T:0.40000 C:0.18696 A:0.23478 G:0.17826
position 3: T:0.43478 C:0.14783 A:0.22174 G:0.19565
Average T:0.35652 C:0.15507 A:0.28986 G:0.19855
#4: C58
position 1: T:0.23478 C:0.12609 A:0.41739 G:0.22174
position 2: T:0.40000 C:0.18696 A:0.23478 G:0.17826
position 3: T:0.43478 C:0.14783 A:0.22174 G:0.19565
Average T:0.35652 C:0.15362 A:0.29130 G:0.19855
#5: C8
position 1: T:0.24783 C:0.13043 A:0.38696 G:0.23478
position 2: T:0.40000 C:0.19565 A:0.23043 G:0.17391
position 3: T:0.40870 C:0.17391 A:0.19130 G:0.22609
Average T:0.35217 C:0.16667 A:0.26957 G:0.21159
#6: C61
position 1: T:0.23043 C:0.12609 A:0.42174 G:0.22174
position 2: T:0.39565 C:0.19130 A:0.23478 G:0.17826
position 3: T:0.43478 C:0.14783 A:0.22174 G:0.19565
Average T:0.35362 C:0.15507 A:0.29275 G:0.19855
#7: C117
position 1: T:0.23478 C:0.13043 A:0.41304 G:0.22174
position 2: T:0.40000 C:0.18696 A:0.23478 G:0.17826
position 3: T:0.43478 C:0.14783 A:0.22174 G:0.19565
Average T:0.35652 C:0.15507 A:0.28986 G:0.19855
#8: C60
position 1: T:0.23913 C:0.13043 A:0.40000 G:0.23043
position 2: T:0.40000 C:0.19130 A:0.23043 G:0.17826
position 3: T:0.43043 C:0.16087 A:0.19130 G:0.21739
Average T:0.35652 C:0.16087 A:0.27391 G:0.20870
#9: C7
position 1: T:0.24783 C:0.13043 A:0.38696 G:0.23478
position 2: T:0.40000 C:0.19565 A:0.23043 G:0.17391
position 3: T:0.41304 C:0.16957 A:0.19130 G:0.22609
Average T:0.35362 C:0.16522 A:0.26957 G:0.21159
#10: C15
position 1: T:0.24783 C:0.13043 A:0.38696 G:0.23478
position 2: T:0.40000 C:0.19565 A:0.23043 G:0.17391
position 3: T:0.41304 C:0.17391 A:0.19130 G:0.22174
Average T:0.35362 C:0.16667 A:0.26957 G:0.21014
#11: C10
position 1: T:0.24783 C:0.13043 A:0.38696 G:0.23478
position 2: T:0.40000 C:0.19565 A:0.23043 G:0.17391
position 3: T:0.40870 C:0.17391 A:0.19565 G:0.22174
Average T:0.35217 C:0.16667 A:0.27101 G:0.21014
#12: C65
position 1: T:0.23913 C:0.13478 A:0.39130 G:0.23478
position 2: T:0.40000 C:0.19130 A:0.23043 G:0.17826
position 3: T:0.41739 C:0.17391 A:0.20000 G:0.20870
Average T:0.35217 C:0.16667 A:0.27391 G:0.20725
#13: C67
position 1: T:0.23913 C:0.13478 A:0.39130 G:0.23478
position 2: T:0.40000 C:0.19130 A:0.23043 G:0.17826
position 3: T:0.41739 C:0.17391 A:0.20000 G:0.20870
Average T:0.35217 C:0.16667 A:0.27391 G:0.20725
#14: C124
position 1: T:0.23913 C:0.13043 A:0.40000 G:0.23043
position 2: T:0.40000 C:0.19130 A:0.23043 G:0.17826
position 3: T:0.40870 C:0.17391 A:0.19565 G:0.22174
Average T:0.34928 C:0.16522 A:0.27536 G:0.21014
#15: C11
position 1: T:0.22609 C:0.13043 A:0.42174 G:0.22174
position 2: T:0.39565 C:0.19130 A:0.23478 G:0.17826
position 3: T:0.43478 C:0.14783 A:0.22174 G:0.19565
Average T:0.35217 C:0.15652 A:0.29275 G:0.19855
#16: C73
position 1: T:0.24348 C:0.13043 A:0.39130 G:0.23478
position 2: T:0.40000 C:0.19130 A:0.23043 G:0.17826
position 3: T:0.40870 C:0.17391 A:0.19130 G:0.22609
Average T:0.35072 C:0.16522 A:0.27101 G:0.21304
#17: C9
position 1: T:0.24783 C:0.13043 A:0.38696 G:0.23478
position 2: T:0.40000 C:0.19565 A:0.23043 G:0.17391
position 3: T:0.40435 C:0.17826 A:0.19130 G:0.22609
Average T:0.35072 C:0.16812 A:0.26957 G:0.21159
#18: C72
position 1: T:0.24348 C:0.13043 A:0.39130 G:0.23478
position 2: T:0.40000 C:0.19130 A:0.23043 G:0.17826
position 3: T:0.41304 C:0.16957 A:0.19130 G:0.22609
Average T:0.35217 C:0.16377 A:0.27101 G:0.21304
#19: C131
position 1: T:0.23043 C:0.12609 A:0.42174 G:0.22174
position 2: T:0.39565 C:0.19130 A:0.23478 G:0.17826
position 3: T:0.43478 C:0.14783 A:0.22174 G:0.19565
Average T:0.35362 C:0.15507 A:0.29275 G:0.19855
#20: C130
position 1: T:0.23478 C:0.13043 A:0.41304 G:0.22174
position 2: T:0.40000 C:0.18696 A:0.23478 G:0.17826
position 3: T:0.43478 C:0.14783 A:0.22174 G:0.19565
Average T:0.35652 C:0.15507 A:0.28986 G:0.19855
#21: C16
position 1: T:0.23913 C:0.13043 A:0.39565 G:0.23478
position 2: T:0.40000 C:0.19130 A:0.23043 G:0.17826
position 3: T:0.41304 C:0.16957 A:0.19565 G:0.22174
Average T:0.35072 C:0.16377 A:0.27391 G:0.21159
#22: C74
position 1: T:0.24348 C:0.13043 A:0.39130 G:0.23478
position 2: T:0.40000 C:0.19130 A:0.23043 G:0.17826
position 3: T:0.40435 C:0.17826 A:0.19130 G:0.22609
Average T:0.34928 C:0.16667 A:0.27101 G:0.21304
#23: C77
position 1: T:0.23913 C:0.13043 A:0.39130 G:0.23913
position 2: T:0.40000 C:0.19565 A:0.23043 G:0.17391
position 3: T:0.40870 C:0.16957 A:0.19565 G:0.22609
Average T:0.34928 C:0.16522 A:0.27246 G:0.21304
#24: C136
position 1: T:0.23478 C:0.12609 A:0.41739 G:0.22174
position 2: T:0.40870 C:0.19130 A:0.22174 G:0.17826
position 3: T:0.42174 C:0.16087 A:0.22174 G:0.19565
Average T:0.35507 C:0.15942 A:0.28696 G:0.19855
#25: C18
position 1: T:0.24348 C:0.13043 A:0.39130 G:0.23478
position 2: T:0.40000 C:0.19130 A:0.23043 G:0.17826
position 3: T:0.41304 C:0.17391 A:0.19130 G:0.22174
Average T:0.35217 C:0.16522 A:0.27101 G:0.21159
#26: C81
position 1: T:0.24348 C:0.13043 A:0.39130 G:0.23478
position 2: T:0.40000 C:0.19130 A:0.23043 G:0.17826
position 3: T:0.41304 C:0.16957 A:0.19130 G:0.22609
Average T:0.35217 C:0.16377 A:0.27101 G:0.21304
#27: C80
position 1: T:0.24348 C:0.13043 A:0.38696 G:0.23913
position 2: T:0.40000 C:0.19565 A:0.23043 G:0.17391
position 3: T:0.41304 C:0.16522 A:0.19565 G:0.22609
Average T:0.35217 C:0.16377 A:0.27101 G:0.21304
#28: C84
position 1: T:0.24348 C:0.13043 A:0.39130 G:0.23478
position 2: T:0.40000 C:0.19130 A:0.23043 G:0.17826
position 3: T:0.41304 C:0.16522 A:0.19565 G:0.22609
Average T:0.35217 C:0.16232 A:0.27246 G:0.21304
#29: C25
position 1: T:0.24348 C:0.12174 A:0.40870 G:0.22609
position 2: T:0.40000 C:0.18696 A:0.22609 G:0.18696
position 3: T:0.40870 C:0.16522 A:0.22609 G:0.20000
Average T:0.35072 C:0.15797 A:0.28696 G:0.20435
#30: C87
position 1: T:0.24348 C:0.13043 A:0.39130 G:0.23478
position 2: T:0.40000 C:0.19130 A:0.23043 G:0.17826
position 3: T:0.41304 C:0.16522 A:0.19565 G:0.22609
Average T:0.35217 C:0.16232 A:0.27246 G:0.21304
Sums of codon usage counts
------------------------------------------------------------------------------
Phe F TTT 286 | Ser S TCT 139 | Tyr Y TAT 325 | Cys C TGT 21
TTC 102 | TCC 25 | TAC 104 | TGC 41
Leu L TTA 31 | TCA 53 | *** * TAA 0 | *** * TGA 0
TTG 314 | TCG 14 | TAG 0 | Trp W TGG 200
------------------------------------------------------------------------------
Leu L CTT 202 | Pro P CCT 10 | His H CAT 59 | Arg R CGT 50
CTC 19 | CCC 31 | CAC 30 | CGC 40
CTA 90 | CCA 149 | Gln Q CAA 90 | CGA 30
CTG 70 | CCG 26 | CAG 0 | CGG 0
------------------------------------------------------------------------------
Ile I ATT 346 | Thr T ACT 240 | Asn N AAT 214 | Ser S AGT 241
ATC 162 | ACC 121 | AAC 116 | AGC 11
ATA 317 | ACA 182 | Lys K AAA 112 | Arg R AGA 62
Met M ATG 284 | ACG 48 | AAG 216 | AGG 89
------------------------------------------------------------------------------
Val V GTT 253 | Ala A GCT 154 | Asp D GAT 118 | Gly G GGT 235
GTC 91 | GCC 30 | GAC 92 | GGC 114
GTA 33 | GCA 80 | Glu E GAA 90 | GGA 90
GTG 159 | GCG 18 | GAG 30 | GGG 1
------------------------------------------------------------------------------
Codon position x base (3x4) table, overall
position 1: T:0.23986 C:0.12986 A:0.40014 G:0.23014
position 2: T:0.39986 C:0.19130 A:0.23130 G:0.17754
position 3: T:0.41928 C:0.16362 A:0.20420 G:0.21290
Average T:0.35300 C:0.16159 A:0.27855 G:0.20686
Model 1: NearlyNeutral (2 categories)
TREE # 1: (12, 13, (((((((11, 17), 5, 10, 9), ((27, 23), (30, 28))), 16, 18, 22, 26, 25), 21), (((((4, 1, 3, 2, 7, 20), 6), 15, 19), 24), 29), 14), 8)); MP score: 105
lnL(ntime: 45 np: 48): -1553.817829 +0.000000
31..12 31..13 31..32 32..33 33..34 34..35 35..36 36..37 37..38 38..11 38..17 37..5 37..10 37..9 36..39 39..40 40..27 40..23 39..41 41..30 41..28 35..16 35..18 35..22 35..26 35..25 34..21 33..42 42..43 43..44 44..45 45..46 46..4 46..1 46..3 46..2 46..7 46..20 45..6 44..15 44..19 43..24 42..29 33..14 32..8
0.000004 0.000004 0.037542 0.014243 0.009414 0.013935 0.004630 0.004624 0.004625 0.009243 0.000004 0.000004 0.004636 0.004622 0.004639 0.004658 0.009312 0.000004 0.018884 0.000004 0.000004 0.000004 0.004611 0.004604 0.013909 0.009243 0.000004 0.075144 0.067217 0.039838 0.009137 0.013824 0.004588 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.004558 0.000004 0.016200 0.090226 0.009054 0.009417 3.346176 0.889004 0.051538
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.516642
(12: 0.000004, 13: 0.000004, (((((((11: 0.009243, 17: 0.000004): 0.004625, 5: 0.000004, 10: 0.004636, 9: 0.004622): 0.004624, ((27: 0.009312, 23: 0.000004): 0.004658, (30: 0.000004, 28: 0.000004): 0.018884): 0.004639): 0.004630, 16: 0.000004, 18: 0.004611, 22: 0.004604, 26: 0.013909, 25: 0.009243): 0.013935, 21: 0.000004): 0.009414, (((((4: 0.004588, 1: 0.000004, 3: 0.000004, 2: 0.000004, 7: 0.000004, 20: 0.000004): 0.013824, 6: 0.000004): 0.009137, 15: 0.004558, 19: 0.000004): 0.039838, 24: 0.016200): 0.067217, 29: 0.090226): 0.075144, 14: 0.009054): 0.014243, 8: 0.009417): 0.037542);
(C65: 0.000004, C67: 0.000004, (((((((C10: 0.009243, C9: 0.000004): 0.004625, C8: 0.000004, C15: 0.004636, C7: 0.004622): 0.004624, ((C80: 0.009312, C77: 0.000004): 0.004658, (C87: 0.000004, C84: 0.000004): 0.018884): 0.004639): 0.004630, C73: 0.000004, C72: 0.004611, C74: 0.004604, C81: 0.013909, C18: 0.009243): 0.013935, C16: 0.000004): 0.009414, (((((C58: 0.004588, C107: 0.000004, C115: 0.000004, C114: 0.000004, C117: 0.000004, C130: 0.000004): 0.013824, C61: 0.000004): 0.009137, C11: 0.004558, C131: 0.000004): 0.039838, C136: 0.016200): 0.067217, C25: 0.090226): 0.075144, C124: 0.009054): 0.014243, C60: 0.009417): 0.037542);
Detailed output identifying parameters
kappa (ts/tv) = 3.34618
MLEs of dN/dS (w) for site classes (K=2)
p: 0.88900 0.11100
w: 0.05154 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
31..13 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
31..32 0.038 523.5 166.5 0.1568 0.0054 0.0347 2.9 5.8
32..33 0.014 523.5 166.5 0.1568 0.0021 0.0132 1.1 2.2
33..34 0.009 523.5 166.5 0.1568 0.0014 0.0087 0.7 1.5
34..35 0.014 523.5 166.5 0.1568 0.0020 0.0129 1.1 2.1
35..36 0.005 523.5 166.5 0.1568 0.0007 0.0043 0.4 0.7
36..37 0.005 523.5 166.5 0.1568 0.0007 0.0043 0.4 0.7
37..38 0.005 523.5 166.5 0.1568 0.0007 0.0043 0.4 0.7
38..11 0.009 523.5 166.5 0.1568 0.0013 0.0086 0.7 1.4
38..17 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
37..5 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
37..10 0.005 523.5 166.5 0.1568 0.0007 0.0043 0.4 0.7
37..9 0.005 523.5 166.5 0.1568 0.0007 0.0043 0.4 0.7
36..39 0.005 523.5 166.5 0.1568 0.0007 0.0043 0.4 0.7
39..40 0.005 523.5 166.5 0.1568 0.0007 0.0043 0.4 0.7
40..27 0.009 523.5 166.5 0.1568 0.0014 0.0086 0.7 1.4
40..23 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
39..41 0.019 523.5 166.5 0.1568 0.0027 0.0175 1.4 2.9
41..30 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
41..28 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
35..16 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
35..18 0.005 523.5 166.5 0.1568 0.0007 0.0043 0.4 0.7
35..22 0.005 523.5 166.5 0.1568 0.0007 0.0043 0.3 0.7
35..26 0.014 523.5 166.5 0.1568 0.0020 0.0129 1.1 2.1
35..25 0.009 523.5 166.5 0.1568 0.0013 0.0086 0.7 1.4
34..21 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
33..42 0.075 523.5 166.5 0.1568 0.0109 0.0695 5.7 11.6
42..43 0.067 523.5 166.5 0.1568 0.0098 0.0622 5.1 10.4
43..44 0.040 523.5 166.5 0.1568 0.0058 0.0369 3.0 6.1
44..45 0.009 523.5 166.5 0.1568 0.0013 0.0085 0.7 1.4
45..46 0.014 523.5 166.5 0.1568 0.0020 0.0128 1.0 2.1
46..4 0.005 523.5 166.5 0.1568 0.0007 0.0042 0.3 0.7
46..1 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
46..3 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
46..2 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
46..7 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
46..20 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
45..6 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
44..15 0.005 523.5 166.5 0.1568 0.0007 0.0042 0.3 0.7
44..19 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
43..24 0.016 523.5 166.5 0.1568 0.0024 0.0150 1.2 2.5
42..29 0.090 523.5 166.5 0.1568 0.0131 0.0835 6.9 13.9
33..14 0.009 523.5 166.5 0.1568 0.0013 0.0084 0.7 1.4
32..8 0.009 523.5 166.5 0.1568 0.0014 0.0087 0.7 1.5
Time used: 3:22
Model 2: PositiveSelection (3 categories)
TREE # 1: (12, 13, (((((((11, 17), 5, 10, 9), ((27, 23), (30, 28))), 16, 18, 22, 26, 25), 21), (((((4, 1, 3, 2, 7, 20), 6), 15, 19), 24), 29), 14), 8)); MP score: 105
lnL(ntime: 45 np: 50): -1553.817829 +0.000000
31..12 31..13 31..32 32..33 33..34 34..35 35..36 36..37 37..38 38..11 38..17 37..5 37..10 37..9 36..39 39..40 40..27 40..23 39..41 41..30 41..28 35..16 35..18 35..22 35..26 35..25 34..21 33..42 42..43 43..44 44..45 45..46 46..4 46..1 46..3 46..2 46..7 46..20 45..6 44..15 44..19 43..24 42..29 33..14 32..8
0.000004 0.000004 0.037543 0.014243 0.009414 0.013935 0.004630 0.004624 0.004625 0.009243 0.000004 0.000004 0.004636 0.004622 0.004639 0.004658 0.009312 0.000004 0.018884 0.000004 0.000004 0.000004 0.004611 0.004604 0.013909 0.009243 0.000004 0.075144 0.067217 0.039838 0.009137 0.013824 0.004588 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.004558 0.000004 0.016200 0.090225 0.009054 0.009417 3.346172 0.889004 0.002062 0.051538 1.000000
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.516642
(12: 0.000004, 13: 0.000004, (((((((11: 0.009243, 17: 0.000004): 0.004625, 5: 0.000004, 10: 0.004636, 9: 0.004622): 0.004624, ((27: 0.009312, 23: 0.000004): 0.004658, (30: 0.000004, 28: 0.000004): 0.018884): 0.004639): 0.004630, 16: 0.000004, 18: 0.004611, 22: 0.004604, 26: 0.013909, 25: 0.009243): 0.013935, 21: 0.000004): 0.009414, (((((4: 0.004588, 1: 0.000004, 3: 0.000004, 2: 0.000004, 7: 0.000004, 20: 0.000004): 0.013824, 6: 0.000004): 0.009137, 15: 0.004558, 19: 0.000004): 0.039838, 24: 0.016200): 0.067217, 29: 0.090225): 0.075144, 14: 0.009054): 0.014243, 8: 0.009417): 0.037543);
(C65: 0.000004, C67: 0.000004, (((((((C10: 0.009243, C9: 0.000004): 0.004625, C8: 0.000004, C15: 0.004636, C7: 0.004622): 0.004624, ((C80: 0.009312, C77: 0.000004): 0.004658, (C87: 0.000004, C84: 0.000004): 0.018884): 0.004639): 0.004630, C73: 0.000004, C72: 0.004611, C74: 0.004604, C81: 0.013909, C18: 0.009243): 0.013935, C16: 0.000004): 0.009414, (((((C58: 0.004588, C107: 0.000004, C115: 0.000004, C114: 0.000004, C117: 0.000004, C130: 0.000004): 0.013824, C61: 0.000004): 0.009137, C11: 0.004558, C131: 0.000004): 0.039838, C136: 0.016200): 0.067217, C25: 0.090225): 0.075144, C124: 0.009054): 0.014243, C60: 0.009417): 0.037543);
Detailed output identifying parameters
kappa (ts/tv) = 3.34617
MLEs of dN/dS (w) for site classes (K=3)
p: 0.88900 0.00206 0.10893
w: 0.05154 1.00000 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
31..13 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
31..32 0.038 523.5 166.5 0.1568 0.0054 0.0347 2.9 5.8
32..33 0.014 523.5 166.5 0.1568 0.0021 0.0132 1.1 2.2
33..34 0.009 523.5 166.5 0.1568 0.0014 0.0087 0.7 1.5
34..35 0.014 523.5 166.5 0.1568 0.0020 0.0129 1.1 2.1
35..36 0.005 523.5 166.5 0.1568 0.0007 0.0043 0.4 0.7
36..37 0.005 523.5 166.5 0.1568 0.0007 0.0043 0.4 0.7
37..38 0.005 523.5 166.5 0.1568 0.0007 0.0043 0.4 0.7
38..11 0.009 523.5 166.5 0.1568 0.0013 0.0086 0.7 1.4
38..17 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
37..5 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
37..10 0.005 523.5 166.5 0.1568 0.0007 0.0043 0.4 0.7
37..9 0.005 523.5 166.5 0.1568 0.0007 0.0043 0.4 0.7
36..39 0.005 523.5 166.5 0.1568 0.0007 0.0043 0.4 0.7
39..40 0.005 523.5 166.5 0.1568 0.0007 0.0043 0.4 0.7
40..27 0.009 523.5 166.5 0.1568 0.0014 0.0086 0.7 1.4
40..23 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
39..41 0.019 523.5 166.5 0.1568 0.0027 0.0175 1.4 2.9
41..30 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
41..28 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
35..16 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
35..18 0.005 523.5 166.5 0.1568 0.0007 0.0043 0.4 0.7
35..22 0.005 523.5 166.5 0.1568 0.0007 0.0043 0.3 0.7
35..26 0.014 523.5 166.5 0.1568 0.0020 0.0129 1.1 2.1
35..25 0.009 523.5 166.5 0.1568 0.0013 0.0086 0.7 1.4
34..21 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
33..42 0.075 523.5 166.5 0.1568 0.0109 0.0695 5.7 11.6
42..43 0.067 523.5 166.5 0.1568 0.0098 0.0622 5.1 10.4
43..44 0.040 523.5 166.5 0.1568 0.0058 0.0369 3.0 6.1
44..45 0.009 523.5 166.5 0.1568 0.0013 0.0085 0.7 1.4
45..46 0.014 523.5 166.5 0.1568 0.0020 0.0128 1.0 2.1
46..4 0.005 523.5 166.5 0.1568 0.0007 0.0042 0.3 0.7
46..1 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
46..3 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
46..2 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
46..7 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
46..20 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
45..6 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
44..15 0.005 523.5 166.5 0.1568 0.0007 0.0042 0.3 0.7
44..19 0.000 523.5 166.5 0.1568 0.0000 0.0000 0.0 0.0
43..24 0.016 523.5 166.5 0.1568 0.0024 0.0150 1.2 2.5
42..29 0.090 523.5 166.5 0.1568 0.0131 0.0835 6.9 13.9
33..14 0.009 523.5 166.5 0.1568 0.0013 0.0084 0.7 1.4
32..8 0.009 523.5 166.5 0.1568 0.0014 0.0087 0.7 1.5
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: C107)
Pr(w>1) post mean +- SE for w
38 I 0.532 1.402 +- 0.692
114 F 0.549 1.428 +- 0.706
175 S 0.518 1.383 +- 0.550
183 C 0.584 1.486 +- 0.765
The grid (see ternary graph for p0-p1)
w0: 0.050 0.150 0.250 0.350 0.450 0.550 0.650 0.750 0.850 0.950
w2: 1.500 2.500 3.500 4.500 5.500 6.500 7.500 8.500 9.500 10.500
Posterior on the grid
w0: 0.988 0.012 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
w2: 0.761 0.178 0.040 0.011 0.004 0.002 0.001 0.001 0.001 0.001
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 0.001
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.002 0.230
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.019 0.281 0.468
sum of density on p0-p1 = 1.000000
Time used: 7:39
Model 7: beta (10 categories)
TREE # 1: (12, 13, (((((((11, 17), 5, 10, 9), ((27, 23), (30, 28))), 16, 18, 22, 26, 25), 21), (((((4, 1, 3, 2, 7, 20), 6), 15, 19), 24), 29), 14), 8)); MP score: 105
lnL(ntime: 45 np: 48): -1553.767629 +0.000000
31..12 31..13 31..32 32..33 33..34 34..35 35..36 36..37 37..38 38..11 38..17 37..5 37..10 37..9 36..39 39..40 40..27 40..23 39..41 41..30 41..28 35..16 35..18 35..22 35..26 35..25 34..21 33..42 42..43 43..44 44..45 45..46 46..4 46..1 46..3 46..2 46..7 46..20 45..6 44..15 44..19 43..24 42..29 33..14 32..8
0.000004 0.000004 0.037393 0.014163 0.009400 0.013862 0.004602 0.004599 0.004598 0.009198 0.000004 0.000004 0.004609 0.004596 0.004611 0.004639 0.009260 0.000004 0.018755 0.000004 0.000004 0.000004 0.004589 0.004581 0.013838 0.009197 0.000004 0.074889 0.066720 0.039643 0.009108 0.013774 0.004573 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.004544 0.000004 0.016199 0.089394 0.008962 0.009327 3.327100 0.127373 0.714448
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.513688
(12: 0.000004, 13: 0.000004, (((((((11: 0.009198, 17: 0.000004): 0.004598, 5: 0.000004, 10: 0.004609, 9: 0.004596): 0.004599, ((27: 0.009260, 23: 0.000004): 0.004639, (30: 0.000004, 28: 0.000004): 0.018755): 0.004611): 0.004602, 16: 0.000004, 18: 0.004589, 22: 0.004581, 26: 0.013838, 25: 0.009197): 0.013862, 21: 0.000004): 0.009400, (((((4: 0.004573, 1: 0.000004, 3: 0.000004, 2: 0.000004, 7: 0.000004, 20: 0.000004): 0.013774, 6: 0.000004): 0.009108, 15: 0.004544, 19: 0.000004): 0.039643, 24: 0.016199): 0.066720, 29: 0.089394): 0.074889, 14: 0.008962): 0.014163, 8: 0.009327): 0.037393);
(C65: 0.000004, C67: 0.000004, (((((((C10: 0.009198, C9: 0.000004): 0.004598, C8: 0.000004, C15: 0.004609, C7: 0.004596): 0.004599, ((C80: 0.009260, C77: 0.000004): 0.004639, (C87: 0.000004, C84: 0.000004): 0.018755): 0.004611): 0.004602, C73: 0.000004, C72: 0.004589, C74: 0.004581, C81: 0.013838, C18: 0.009197): 0.013862, C16: 0.000004): 0.009400, (((((C58: 0.004573, C107: 0.000004, C115: 0.000004, C114: 0.000004, C117: 0.000004, C130: 0.000004): 0.013774, C61: 0.000004): 0.009108, C11: 0.004544, C131: 0.000004): 0.039643, C136: 0.016199): 0.066720, C25: 0.089394): 0.074889, C124: 0.008962): 0.014163, C60: 0.009327): 0.037393);
Detailed output identifying parameters
kappa (ts/tv) = 3.32710
Parameters in M7 (beta):
p = 0.12737 q = 0.71445
MLEs of dN/dS (w) for site classes (K=10)
p: 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000
w: 0.00000 0.00000 0.00003 0.00045 0.00325 0.01566 0.05751 0.17145 0.42279 0.83066
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
31..13 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
31..32 0.037 523.6 166.4 0.1502 0.0053 0.0351 2.8 5.8
32..33 0.014 523.6 166.4 0.1502 0.0020 0.0133 1.0 2.2
33..34 0.009 523.6 166.4 0.1502 0.0013 0.0088 0.7 1.5
34..35 0.014 523.6 166.4 0.1502 0.0020 0.0130 1.0 2.2
35..36 0.005 523.6 166.4 0.1502 0.0006 0.0043 0.3 0.7
36..37 0.005 523.6 166.4 0.1502 0.0006 0.0043 0.3 0.7
37..38 0.005 523.6 166.4 0.1502 0.0006 0.0043 0.3 0.7
38..11 0.009 523.6 166.4 0.1502 0.0013 0.0086 0.7 1.4
38..17 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
37..5 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
37..10 0.005 523.6 166.4 0.1502 0.0006 0.0043 0.3 0.7
37..9 0.005 523.6 166.4 0.1502 0.0006 0.0043 0.3 0.7
36..39 0.005 523.6 166.4 0.1502 0.0006 0.0043 0.3 0.7
39..40 0.005 523.6 166.4 0.1502 0.0007 0.0044 0.3 0.7
40..27 0.009 523.6 166.4 0.1502 0.0013 0.0087 0.7 1.4
40..23 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
39..41 0.019 523.6 166.4 0.1502 0.0026 0.0176 1.4 2.9
41..30 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
41..28 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
35..16 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
35..18 0.005 523.6 166.4 0.1502 0.0006 0.0043 0.3 0.7
35..22 0.005 523.6 166.4 0.1502 0.0006 0.0043 0.3 0.7
35..26 0.014 523.6 166.4 0.1502 0.0020 0.0130 1.0 2.2
35..25 0.009 523.6 166.4 0.1502 0.0013 0.0086 0.7 1.4
34..21 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
33..42 0.075 523.6 166.4 0.1502 0.0106 0.0703 5.5 11.7
42..43 0.067 523.6 166.4 0.1502 0.0094 0.0626 4.9 10.4
43..44 0.040 523.6 166.4 0.1502 0.0056 0.0372 2.9 6.2
44..45 0.009 523.6 166.4 0.1502 0.0013 0.0085 0.7 1.4
45..46 0.014 523.6 166.4 0.1502 0.0019 0.0129 1.0 2.2
46..4 0.005 523.6 166.4 0.1502 0.0006 0.0043 0.3 0.7
46..1 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
46..3 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
46..2 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
46..7 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
46..20 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
45..6 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
44..15 0.005 523.6 166.4 0.1502 0.0006 0.0043 0.3 0.7
44..19 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
43..24 0.016 523.6 166.4 0.1502 0.0023 0.0152 1.2 2.5
42..29 0.089 523.6 166.4 0.1502 0.0126 0.0839 6.6 14.0
33..14 0.009 523.6 166.4 0.1502 0.0013 0.0084 0.7 1.4
32..8 0.009 523.6 166.4 0.1502 0.0013 0.0088 0.7 1.5
Time used: 22:11
Model 8: beta&w>1 (11 categories)
TREE # 1: (12, 13, (((((((11, 17), 5, 10, 9), ((27, 23), (30, 28))), 16, 18, 22, 26, 25), 21), (((((4, 1, 3, 2, 7, 20), 6), 15, 19), 24), 29), 14), 8)); MP score: 105
lnL(ntime: 45 np: 50): -1553.767630 +0.000000
31..12 31..13 31..32 32..33 33..34 34..35 35..36 36..37 37..38 38..11 38..17 37..5 37..10 37..9 36..39 39..40 40..27 40..23 39..41 41..30 41..28 35..16 35..18 35..22 35..26 35..25 34..21 33..42 42..43 43..44 44..45 45..46 46..4 46..1 46..3 46..2 46..7 46..20 45..6 44..15 44..19 43..24 42..29 33..14 32..8
0.000004 0.000004 0.037393 0.014163 0.009400 0.013862 0.004602 0.004598 0.004598 0.009198 0.000004 0.000004 0.004609 0.004596 0.004611 0.004639 0.009259 0.000004 0.018755 0.000004 0.000004 0.000004 0.004588 0.004581 0.013838 0.009197 0.000004 0.074889 0.066720 0.039643 0.009108 0.013773 0.004573 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.004544 0.000004 0.016199 0.089395 0.008962 0.009327 3.327096 0.999990 0.127375 0.714503 1.000001
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.513684
(12: 0.000004, 13: 0.000004, (((((((11: 0.009198, 17: 0.000004): 0.004598, 5: 0.000004, 10: 0.004609, 9: 0.004596): 0.004598, ((27: 0.009259, 23: 0.000004): 0.004639, (30: 0.000004, 28: 0.000004): 0.018755): 0.004611): 0.004602, 16: 0.000004, 18: 0.004588, 22: 0.004581, 26: 0.013838, 25: 0.009197): 0.013862, 21: 0.000004): 0.009400, (((((4: 0.004573, 1: 0.000004, 3: 0.000004, 2: 0.000004, 7: 0.000004, 20: 0.000004): 0.013773, 6: 0.000004): 0.009108, 15: 0.004544, 19: 0.000004): 0.039643, 24: 0.016199): 0.066720, 29: 0.089395): 0.074889, 14: 0.008962): 0.014163, 8: 0.009327): 0.037393);
(C65: 0.000004, C67: 0.000004, (((((((C10: 0.009198, C9: 0.000004): 0.004598, C8: 0.000004, C15: 0.004609, C7: 0.004596): 0.004598, ((C80: 0.009259, C77: 0.000004): 0.004639, (C87: 0.000004, C84: 0.000004): 0.018755): 0.004611): 0.004602, C73: 0.000004, C72: 0.004588, C74: 0.004581, C81: 0.013838, C18: 0.009197): 0.013862, C16: 0.000004): 0.009400, (((((C58: 0.004573, C107: 0.000004, C115: 0.000004, C114: 0.000004, C117: 0.000004, C130: 0.000004): 0.013773, C61: 0.000004): 0.009108, C11: 0.004544, C131: 0.000004): 0.039643, C136: 0.016199): 0.066720, C25: 0.089395): 0.074889, C124: 0.008962): 0.014163, C60: 0.009327): 0.037393);
Detailed output identifying parameters
kappa (ts/tv) = 3.32710
Parameters in M8 (beta&w>1):
p0 = 0.99999 p = 0.12738 q = 0.71450
(p1 = 0.00001) w = 1.00000
MLEs of dN/dS (w) for site classes (K=11)
p: 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.00001
w: 0.00000 0.00000 0.00003 0.00045 0.00325 0.01566 0.05751 0.17143 0.42275 0.83063 1.00000
(note that p[10] is zero)
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
31..13 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
31..32 0.037 523.6 166.4 0.1502 0.0053 0.0351 2.8 5.8
32..33 0.014 523.6 166.4 0.1502 0.0020 0.0133 1.0 2.2
33..34 0.009 523.6 166.4 0.1502 0.0013 0.0088 0.7 1.5
34..35 0.014 523.6 166.4 0.1502 0.0020 0.0130 1.0 2.2
35..36 0.005 523.6 166.4 0.1502 0.0006 0.0043 0.3 0.7
36..37 0.005 523.6 166.4 0.1502 0.0006 0.0043 0.3 0.7
37..38 0.005 523.6 166.4 0.1502 0.0006 0.0043 0.3 0.7
38..11 0.009 523.6 166.4 0.1502 0.0013 0.0086 0.7 1.4
38..17 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
37..5 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
37..10 0.005 523.6 166.4 0.1502 0.0006 0.0043 0.3 0.7
37..9 0.005 523.6 166.4 0.1502 0.0006 0.0043 0.3 0.7
36..39 0.005 523.6 166.4 0.1502 0.0006 0.0043 0.3 0.7
39..40 0.005 523.6 166.4 0.1502 0.0007 0.0044 0.3 0.7
40..27 0.009 523.6 166.4 0.1502 0.0013 0.0087 0.7 1.4
40..23 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
39..41 0.019 523.6 166.4 0.1502 0.0026 0.0176 1.4 2.9
41..30 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
41..28 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
35..16 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
35..18 0.005 523.6 166.4 0.1502 0.0006 0.0043 0.3 0.7
35..22 0.005 523.6 166.4 0.1502 0.0006 0.0043 0.3 0.7
35..26 0.014 523.6 166.4 0.1502 0.0020 0.0130 1.0 2.2
35..25 0.009 523.6 166.4 0.1502 0.0013 0.0086 0.7 1.4
34..21 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
33..42 0.075 523.6 166.4 0.1502 0.0106 0.0703 5.5 11.7
42..43 0.067 523.6 166.4 0.1502 0.0094 0.0626 4.9 10.4
43..44 0.040 523.6 166.4 0.1502 0.0056 0.0372 2.9 6.2
44..45 0.009 523.6 166.4 0.1502 0.0013 0.0085 0.7 1.4
45..46 0.014 523.6 166.4 0.1502 0.0019 0.0129 1.0 2.2
46..4 0.005 523.6 166.4 0.1502 0.0006 0.0043 0.3 0.7
46..1 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
46..3 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
46..2 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
46..7 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
46..20 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
45..6 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
44..15 0.005 523.6 166.4 0.1502 0.0006 0.0043 0.3 0.7
44..19 0.000 523.6 166.4 0.1502 0.0000 0.0000 0.0 0.0
43..24 0.016 523.6 166.4 0.1502 0.0023 0.0152 1.2 2.5
42..29 0.089 523.6 166.4 0.1502 0.0126 0.0839 6.6 14.0
33..14 0.009 523.6 166.4 0.1502 0.0013 0.0084 0.7 1.4
32..8 0.009 523.6 166.4 0.1502 0.0013 0.0088 0.7 1.5
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: C107)
Pr(w>1) post mean +- SE for w
4 K 0.603 1.240 +- 0.721
38 I 0.655 1.319 +- 0.722
114 F 0.678 1.352 +- 0.719
126 C 0.569 1.188 +- 0.711
175 S 0.700 1.378 +- 0.640
183 C 0.720 1.411 +- 0.713
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 0.003 0.997
p : 0.968 0.032 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
q : 0.000 0.000 0.004 0.033 0.087 0.135 0.167 0.183 0.192 0.199
ws: 0.815 0.159 0.021 0.003 0.001 0.000 0.000 0.000 0.000 0.000
Time used: 51:12
Model 1: NearlyNeutral -1553.817829 Model 2: PositiveSelection -1553.817829 Model 7: beta -1553.767629 Model 8: beta&w>1 -1553.767630 Model 2 vs 1 0 Model 8 vs 7 -.000002
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
