--- 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 -3544.49 -3571.43
2 -3545.32 -3575.19
--------------------------------------
TOTAL -3544.82 -3574.52
--------------------------------------
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} 0.259460 0.000485 0.219602 0.305807 0.258504 1409.07 1455.03 1.000
r(A<->C){all} 0.033251 0.000114 0.013371 0.053369 0.032049 972.27 1074.38 1.000
r(A<->G){all} 0.148621 0.000512 0.108264 0.195824 0.146670 848.84 900.24 1.000
r(A<->T){all} 0.057585 0.000173 0.033014 0.084477 0.056732 1084.68 1087.93 1.000
r(C<->G){all} 0.020055 0.000098 0.003780 0.039759 0.018743 718.15 878.06 1.000
r(C<->T){all} 0.640396 0.001128 0.573173 0.705115 0.641196 802.94 831.47 1.000
r(G<->T){all} 0.100092 0.000318 0.066233 0.134628 0.099138 922.46 989.43 1.000
pi(A){all} 0.293921 0.000149 0.269502 0.316590 0.293782 957.14 1140.40 1.001
pi(C){all} 0.215080 0.000110 0.194719 0.235197 0.214653 972.60 972.88 1.000
pi(G){all} 0.235597 0.000128 0.213537 0.257801 0.235375 1077.53 1123.79 1.000
pi(T){all} 0.255401 0.000129 0.233919 0.278030 0.255065 1081.87 1107.67 1.001
alpha{1,2} 0.088558 0.004114 0.000013 0.204486 0.077012 733.40 921.91 1.001
alpha{3} 1.905851 1.076157 0.436667 3.966603 1.643121 990.71 1144.44 1.000
pinvar{all} 0.326876 0.007668 0.150032 0.498489 0.327672 846.52 963.66 1.003
------------------------------------------------------------------------------------------------------
* 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 -3416.455613
Model 2: PositiveSelection -3416.054622
Model 7: beta -3417.589913
Model 8: beta&w>1 -3416.077507
Model 2 vs 1 .801982
Model 8 vs 7 3.024812
-- Starting log on Fri Nov 18 14:39:37 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10637_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Fri Nov 18 14:44:39 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10637_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Fri Nov 18 23:59:35 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10637_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/gapped_alignment/codeml,DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10637_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 1347 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C256
Taxon 2 -> C49
Taxon 3 -> C95
Taxon 4 -> C177
Taxon 5 -> C259
Taxon 6 -> C294
Taxon 7 -> C43
Taxon 8 -> C19
Taxon 9 -> C22
Taxon 10 -> C57
Taxon 11 -> C230
Taxon 12 -> C252
Taxon 13 -> C184
Taxon 14 -> C129
Taxon 15 -> C200
Taxon 16 -> C213
Taxon 17 -> C78
Taxon 18 -> C225
Taxon 19 -> C34
Taxon 20 -> C70
Taxon 21 -> C130
Taxon 22 -> C171
Taxon 23 -> C69
Taxon 24 -> C128
Taxon 25 -> C76
Taxon 26 -> C135
Taxon 27 -> C134
Taxon 28 -> C73
Taxon 29 -> C83
Taxon 30 -> C142
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1668815977
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) = 143075933
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 = 7490841713
Seed = 1226143118
Swapseed = 1668815977
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 45 unique site patterns
Division 2 has 32 unique site patterns
Division 3 has 111 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 -- -6579.727916 -- 82.122948
Chain 2 -- -6740.312991 -- 82.122948
Chain 3 -- -6635.053102 -- 82.122948
Chain 4 -- -6937.703898 -- 82.122948
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -6279.763593 -- 82.122948
Chain 2 -- -5976.910392 -- 82.122948
Chain 3 -- -6671.096149 -- 82.122948
Chain 4 -- -6544.154595 -- 82.122948
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-6579.728] (-6740.313) (-6635.053) (-6937.704) * [-6279.764] (-5976.910) (-6671.096) (-6544.155)
1000 -- (-3886.399) (-3792.325) (-3759.499) [-3721.261] * (-3804.330) [-3719.614] (-3745.039) (-3817.566) -- 0:16:39
2000 -- (-3775.778) (-3642.824) [-3624.739] (-3661.209) * (-3661.551) (-3647.622) [-3612.512] (-3635.699) -- 0:16:38
3000 -- (-3586.396) [-3583.471] (-3615.172) (-3606.755) * [-3609.924] (-3623.467) (-3571.205) (-3605.486) -- 0:22:09
4000 -- (-3573.814) (-3586.960) [-3571.648] (-3594.031) * (-3595.737) (-3600.470) [-3574.845] (-3607.314) -- 0:20:45
5000 -- (-3565.361) (-3568.495) (-3569.333) [-3556.062] * (-3571.315) (-3604.174) [-3572.188] (-3585.776) -- 0:23:13
Average standard deviation of split frequencies: 0.074282
6000 -- [-3554.860] (-3570.065) (-3569.077) (-3575.776) * (-3564.617) (-3586.263) [-3552.724] (-3572.018) -- 0:22:05
7000 -- [-3564.755] (-3562.636) (-3568.049) (-3568.118) * (-3567.619) (-3568.436) [-3558.113] (-3563.910) -- 0:23:38
8000 -- (-3564.524) (-3557.763) (-3566.544) [-3555.132] * [-3564.306] (-3552.011) (-3567.902) (-3574.025) -- 0:22:44
9000 -- (-3577.867) (-3554.154) [-3562.692] (-3564.359) * [-3547.575] (-3560.727) (-3560.313) (-3554.559) -- 0:22:01
10000 -- (-3566.315) [-3553.421] (-3558.377) (-3562.618) * (-3567.296) [-3550.117] (-3552.489) (-3572.043) -- 0:23:06
Average standard deviation of split frequencies: 0.049105
11000 -- (-3579.283) (-3561.987) [-3565.186] (-3566.972) * (-3554.669) (-3567.349) (-3561.198) [-3557.980] -- 0:22:28
12000 -- (-3556.136) [-3560.169] (-3566.925) (-3564.556) * (-3568.987) [-3556.157] (-3569.541) (-3571.966) -- 0:23:19
13000 -- (-3557.135) [-3560.977] (-3556.654) (-3575.159) * [-3561.568] (-3549.189) (-3570.677) (-3568.401) -- 0:22:46
14000 -- [-3559.387] (-3555.357) (-3574.005) (-3572.449) * (-3552.990) [-3556.633] (-3563.399) (-3581.796) -- 0:22:18
15000 -- (-3559.518) (-3555.866) (-3557.445) [-3555.614] * (-3568.608) [-3543.209] (-3565.410) (-3556.313) -- 0:22:59
Average standard deviation of split frequencies: 0.046794
16000 -- (-3559.544) (-3560.058) (-3564.880) [-3562.527] * (-3569.946) [-3551.085] (-3558.347) (-3556.158) -- 0:22:33
17000 -- (-3551.386) (-3568.449) (-3561.450) [-3561.068] * (-3574.057) [-3553.988] (-3570.523) (-3559.425) -- 0:23:07
18000 -- (-3552.078) (-3572.528) [-3562.467] (-3560.349) * [-3554.317] (-3553.676) (-3565.413) (-3556.860) -- 0:22:43
19000 -- (-3559.545) (-3562.384) [-3556.847] (-3560.823) * (-3560.011) [-3549.577] (-3564.978) (-3557.551) -- 0:22:22
20000 -- [-3550.388] (-3561.606) (-3564.378) (-3572.729) * (-3557.396) (-3563.759) (-3570.147) [-3544.515] -- 0:22:52
Average standard deviation of split frequencies: 0.035379
21000 -- [-3553.326] (-3577.008) (-3562.654) (-3563.914) * [-3560.844] (-3558.911) (-3578.845) (-3552.148) -- 0:22:31
22000 -- (-3560.313) (-3562.466) (-3557.066) [-3551.809] * (-3561.958) (-3579.605) [-3549.112] (-3557.063) -- 0:22:58
23000 -- (-3568.847) (-3550.361) (-3559.249) [-3550.591] * (-3556.386) (-3571.216) (-3567.999) [-3545.650] -- 0:22:39
24000 -- (-3573.069) [-3553.421] (-3556.470) (-3568.895) * [-3543.943] (-3556.091) (-3562.807) (-3568.311) -- 0:23:02
25000 -- (-3562.533) (-3560.962) (-3549.812) [-3555.909] * [-3552.245] (-3566.719) (-3573.100) (-3562.005) -- 0:22:45
Average standard deviation of split frequencies: 0.031405
26000 -- [-3555.305] (-3569.382) (-3573.952) (-3550.173) * (-3566.843) (-3562.737) (-3559.861) [-3573.068] -- 0:22:28
27000 -- [-3553.558] (-3570.408) (-3556.616) (-3571.980) * (-3571.332) [-3560.033] (-3563.918) (-3554.200) -- 0:22:49
28000 -- (-3555.911) [-3560.975] (-3558.314) (-3574.470) * [-3557.320] (-3572.289) (-3566.697) (-3569.018) -- 0:22:33
29000 -- (-3551.106) [-3551.782] (-3559.289) (-3564.883) * [-3559.771] (-3577.495) (-3564.551) (-3566.682) -- 0:22:19
30000 -- (-3550.114) [-3545.459] (-3566.095) (-3565.821) * (-3562.609) [-3546.236] (-3559.561) (-3564.390) -- 0:22:38
Average standard deviation of split frequencies: 0.029320
31000 -- [-3558.754] (-3571.052) (-3551.141) (-3559.876) * (-3550.182) (-3551.624) [-3552.368] (-3552.869) -- 0:22:24
32000 -- (-3561.286) (-3563.879) (-3571.467) [-3555.658] * (-3567.987) (-3564.620) (-3558.830) [-3553.940] -- 0:22:41
33000 -- (-3568.593) (-3558.858) (-3573.603) [-3558.119] * [-3551.534] (-3556.521) (-3568.704) (-3571.947) -- 0:22:27
34000 -- (-3579.281) (-3571.260) [-3574.121] (-3556.837) * [-3548.131] (-3564.692) (-3560.059) (-3556.387) -- 0:22:43
35000 -- (-3563.081) (-3569.560) [-3556.845] (-3554.993) * (-3545.610) (-3571.989) [-3562.361] (-3555.897) -- 0:22:31
Average standard deviation of split frequencies: 0.021213
36000 -- (-3562.012) (-3564.569) [-3559.180] (-3559.743) * [-3558.775] (-3565.287) (-3575.173) (-3552.965) -- 0:22:18
37000 -- [-3555.045] (-3571.788) (-3554.449) (-3567.337) * (-3571.483) (-3566.878) [-3559.990] (-3550.113) -- 0:22:33
38000 -- [-3558.546] (-3557.329) (-3564.596) (-3557.283) * (-3554.212) [-3547.648] (-3568.906) (-3558.074) -- 0:22:21
39000 -- (-3574.625) (-3563.906) (-3552.505) [-3556.483] * (-3560.889) [-3551.823] (-3554.897) (-3554.097) -- 0:22:10
40000 -- (-3563.388) [-3546.610] (-3560.146) (-3558.579) * (-3550.772) (-3566.396) (-3572.162) [-3556.806] -- 0:22:24
Average standard deviation of split frequencies: 0.017979
41000 -- [-3558.435] (-3566.741) (-3562.935) (-3558.417) * (-3551.833) (-3565.171) [-3551.433] (-3563.173) -- 0:22:13
42000 -- (-3560.161) (-3562.021) [-3553.208] (-3554.826) * (-3564.374) (-3569.919) [-3549.979] (-3563.082) -- 0:22:25
43000 -- (-3563.629) (-3561.279) [-3549.679] (-3546.553) * [-3552.848] (-3559.696) (-3559.981) (-3564.814) -- 0:22:15
44000 -- (-3556.508) (-3572.096) [-3556.540] (-3543.610) * (-3577.349) (-3554.094) [-3551.532] (-3571.227) -- 0:22:05
45000 -- (-3559.126) [-3562.507] (-3557.482) (-3558.696) * (-3557.740) [-3562.038] (-3559.528) (-3577.102) -- 0:22:17
Average standard deviation of split frequencies: 0.020299
46000 -- (-3564.711) (-3569.615) [-3564.053] (-3558.096) * (-3567.093) (-3566.999) [-3564.071] (-3580.784) -- 0:22:07
47000 -- (-3563.224) [-3551.237] (-3574.334) (-3575.245) * (-3562.787) (-3552.675) (-3573.888) [-3555.940] -- 0:22:18
48000 -- (-3567.518) (-3565.539) [-3556.840] (-3567.673) * (-3551.663) (-3556.985) [-3560.635] (-3572.039) -- 0:22:08
49000 -- [-3554.562] (-3575.583) (-3560.219) (-3568.436) * (-3562.799) (-3553.944) (-3559.707) [-3559.675] -- 0:22:19
50000 -- (-3562.155) [-3568.480] (-3559.870) (-3560.032) * [-3548.139] (-3550.323) (-3561.422) (-3557.976) -- 0:22:10
Average standard deviation of split frequencies: 0.024993
51000 -- (-3561.820) [-3548.201] (-3558.087) (-3564.441) * (-3578.687) (-3552.361) (-3566.925) [-3553.496] -- 0:22:01
52000 -- (-3571.995) (-3559.254) [-3569.648] (-3573.293) * (-3556.685) (-3554.065) (-3565.113) [-3551.146] -- 0:22:10
53000 -- (-3575.269) (-3561.356) [-3546.064] (-3563.159) * (-3559.395) [-3561.678] (-3554.536) (-3564.234) -- 0:22:02
54000 -- (-3570.468) [-3558.751] (-3559.299) (-3571.420) * [-3548.953] (-3569.588) (-3559.986) (-3556.775) -- 0:21:53
55000 -- [-3559.122] (-3563.206) (-3545.172) (-3573.362) * (-3566.801) [-3550.356] (-3558.976) (-3554.016) -- 0:22:03
Average standard deviation of split frequencies: 0.023536
56000 -- (-3563.804) (-3557.436) [-3564.807] (-3564.277) * (-3568.598) (-3557.188) (-3558.979) [-3547.386] -- 0:21:54
57000 -- [-3546.812] (-3566.117) (-3558.800) (-3546.155) * [-3560.593] (-3566.330) (-3571.448) (-3557.424) -- 0:22:03
58000 -- (-3556.921) (-3558.883) (-3577.690) [-3553.483] * [-3545.235] (-3564.372) (-3572.088) (-3575.702) -- 0:21:55
59000 -- (-3551.327) [-3562.057] (-3574.895) (-3560.248) * [-3547.895] (-3558.824) (-3568.601) (-3556.255) -- 0:21:47
60000 -- (-3576.686) (-3570.799) (-3575.576) [-3557.992] * [-3552.535] (-3565.715) (-3555.094) (-3563.846) -- 0:21:56
Average standard deviation of split frequencies: 0.022319
61000 -- (-3564.041) [-3561.170] (-3571.354) (-3570.237) * [-3554.821] (-3555.043) (-3564.878) (-3561.388) -- 0:21:48
62000 -- (-3562.098) [-3562.714] (-3570.287) (-3557.225) * [-3557.968] (-3569.414) (-3554.406) (-3567.758) -- 0:21:41
63000 -- (-3571.754) [-3565.170] (-3568.462) (-3569.519) * (-3551.631) (-3575.227) (-3555.457) [-3554.158] -- 0:21:48
64000 -- (-3565.784) (-3550.935) (-3568.617) [-3556.941] * (-3558.515) (-3562.415) [-3561.031] (-3576.123) -- 0:21:41
65000 -- (-3564.967) (-3556.690) (-3564.773) [-3557.050] * (-3553.306) [-3543.447] (-3556.818) (-3566.495) -- 0:21:49
Average standard deviation of split frequencies: 0.021856
66000 -- (-3564.668) (-3554.322) [-3549.993] (-3546.653) * [-3555.077] (-3569.050) (-3568.739) (-3582.905) -- 0:21:41
67000 -- (-3566.561) [-3564.513] (-3554.046) (-3554.518) * (-3553.262) (-3564.625) [-3550.701] (-3578.075) -- 0:21:48
68000 -- (-3562.180) (-3559.623) (-3550.442) [-3554.663] * [-3554.656] (-3577.998) (-3561.777) (-3566.099) -- 0:21:42
69000 -- (-3557.844) (-3573.911) (-3551.354) [-3550.625] * [-3554.254] (-3562.502) (-3568.441) (-3556.199) -- 0:21:35
70000 -- [-3546.270] (-3564.600) (-3545.858) (-3562.491) * (-3559.876) (-3558.900) [-3566.719] (-3561.819) -- 0:21:42
Average standard deviation of split frequencies: 0.019620
71000 -- (-3550.062) [-3552.802] (-3567.727) (-3562.617) * (-3557.818) (-3573.932) [-3553.315] (-3572.379) -- 0:21:35
72000 -- (-3558.465) [-3547.678] (-3565.375) (-3560.099) * [-3545.405] (-3571.692) (-3551.624) (-3561.541) -- 0:21:41
73000 -- [-3557.021] (-3557.075) (-3560.558) (-3558.882) * [-3558.534] (-3552.902) (-3566.145) (-3555.386) -- 0:21:35
74000 -- (-3558.750) (-3570.765) (-3562.170) [-3564.366] * [-3554.242] (-3566.508) (-3552.485) (-3562.882) -- 0:21:41
75000 -- [-3557.844] (-3557.992) (-3549.809) (-3563.398) * [-3546.016] (-3555.046) (-3578.798) (-3558.048) -- 0:21:35
Average standard deviation of split frequencies: 0.021948
76000 -- (-3567.884) [-3548.577] (-3569.257) (-3556.897) * [-3560.849] (-3560.514) (-3561.428) (-3566.368) -- 0:21:40
77000 -- (-3569.931) (-3566.066) [-3559.380] (-3565.205) * (-3573.219) [-3558.023] (-3563.165) (-3568.381) -- 0:21:34
78000 -- [-3547.414] (-3578.831) (-3553.837) (-3564.602) * (-3572.741) (-3562.425) [-3555.204] (-3554.752) -- 0:21:28
79000 -- (-3556.548) (-3570.512) (-3551.096) [-3563.153] * [-3559.653] (-3556.017) (-3571.466) (-3569.275) -- 0:21:34
80000 -- (-3554.629) (-3561.758) [-3550.277] (-3569.962) * (-3553.672) [-3552.224] (-3563.718) (-3551.201) -- 0:21:28
Average standard deviation of split frequencies: 0.021015
81000 -- [-3553.652] (-3561.554) (-3554.748) (-3554.891) * (-3557.832) (-3569.185) [-3559.880] (-3547.110) -- 0:21:22
82000 -- (-3557.596) [-3555.787] (-3566.115) (-3580.250) * [-3555.393] (-3556.965) (-3569.369) (-3559.924) -- 0:21:27
83000 -- (-3560.091) [-3551.903] (-3558.570) (-3572.847) * [-3557.273] (-3562.722) (-3555.997) (-3576.262) -- 0:21:21
84000 -- (-3568.542) (-3572.409) [-3549.507] (-3561.442) * [-3557.187] (-3570.053) (-3555.750) (-3571.691) -- 0:21:26
85000 -- [-3557.735] (-3568.201) (-3574.809) (-3569.687) * (-3561.816) [-3553.403] (-3568.683) (-3564.197) -- 0:21:21
Average standard deviation of split frequencies: 0.023270
86000 -- [-3564.326] (-3587.953) (-3558.717) (-3571.334) * [-3553.122] (-3551.256) (-3577.254) (-3566.125) -- 0:21:25
87000 -- (-3576.263) (-3574.104) (-3550.458) [-3561.275] * [-3559.345] (-3564.775) (-3564.946) (-3572.711) -- 0:21:20
88000 -- (-3598.382) (-3557.766) [-3555.716] (-3564.627) * [-3559.411] (-3558.700) (-3547.368) (-3569.620) -- 0:21:14
89000 -- (-3579.835) (-3553.176) (-3564.838) [-3549.994] * [-3563.212] (-3567.117) (-3560.326) (-3576.236) -- 0:21:19
90000 -- (-3569.248) (-3564.284) (-3563.706) [-3542.899] * (-3566.533) (-3577.832) [-3556.133] (-3557.468) -- 0:21:14
Average standard deviation of split frequencies: 0.022073
91000 -- (-3582.970) (-3562.296) (-3560.713) [-3560.086] * (-3552.796) (-3572.311) [-3555.421] (-3561.471) -- 0:21:18
92000 -- [-3555.652] (-3556.386) (-3567.798) (-3571.976) * (-3566.765) [-3553.237] (-3566.926) (-3556.519) -- 0:21:13
93000 -- (-3553.988) [-3550.483] (-3562.776) (-3568.153) * (-3553.607) (-3567.935) (-3566.640) [-3562.500] -- 0:21:17
94000 -- [-3556.121] (-3562.136) (-3559.372) (-3558.497) * (-3567.354) (-3583.783) [-3559.948] (-3562.255) -- 0:21:12
95000 -- [-3549.227] (-3575.499) (-3549.575) (-3558.477) * (-3559.342) (-3558.021) [-3556.838] (-3561.733) -- 0:21:07
Average standard deviation of split frequencies: 0.021530
96000 -- (-3556.364) [-3559.411] (-3558.982) (-3570.242) * (-3569.495) (-3574.724) [-3567.518] (-3578.357) -- 0:21:11
97000 -- (-3553.136) (-3559.989) [-3567.380] (-3564.483) * (-3567.485) (-3573.529) [-3554.519] (-3562.852) -- 0:21:06
98000 -- (-3571.646) [-3553.773] (-3562.211) (-3572.591) * (-3579.824) (-3561.971) [-3558.822] (-3569.364) -- 0:21:10
99000 -- (-3564.164) [-3548.166] (-3565.831) (-3552.150) * (-3576.104) (-3586.712) [-3557.097] (-3563.269) -- 0:21:05
100000 -- (-3566.318) (-3555.644) (-3564.777) [-3547.273] * [-3559.409] (-3565.728) (-3565.354) (-3560.692) -- 0:21:09
Average standard deviation of split frequencies: 0.022063
101000 -- (-3564.432) (-3555.854) [-3571.366] (-3568.162) * [-3551.818] (-3562.957) (-3556.864) (-3564.155) -- 0:21:03
102000 -- (-3562.351) (-3555.557) (-3555.134) [-3559.275] * (-3566.769) (-3558.654) (-3558.935) [-3548.030] -- 0:20:58
103000 -- (-3564.500) (-3550.616) [-3555.895] (-3564.047) * (-3551.506) (-3567.263) [-3556.884] (-3552.712) -- 0:21:02
104000 -- (-3566.541) (-3563.350) [-3559.823] (-3549.646) * (-3557.835) (-3592.216) [-3552.126] (-3561.312) -- 0:20:57
105000 -- (-3566.414) (-3573.574) (-3567.176) [-3550.065] * (-3567.071) [-3568.433] (-3542.566) (-3574.610) -- 0:21:01
Average standard deviation of split frequencies: 0.018880
106000 -- (-3547.348) (-3554.640) [-3564.017] (-3568.832) * (-3566.278) (-3555.734) [-3541.897] (-3559.694) -- 0:20:56
107000 -- (-3559.447) [-3553.168] (-3557.565) (-3559.028) * (-3556.655) (-3565.913) [-3564.103] (-3568.975) -- 0:20:51
108000 -- (-3571.038) (-3550.307) (-3575.041) [-3552.334] * [-3549.930] (-3564.737) (-3571.639) (-3562.541) -- 0:20:55
109000 -- (-3557.166) (-3549.090) [-3560.022] (-3579.917) * (-3562.585) (-3555.440) (-3559.327) [-3549.816] -- 0:20:50
110000 -- (-3572.344) (-3552.791) (-3559.155) [-3549.216] * (-3555.706) (-3574.960) (-3560.601) [-3561.728] -- 0:20:46
Average standard deviation of split frequencies: 0.019048
111000 -- (-3551.945) [-3548.577] (-3565.946) (-3552.365) * (-3569.832) (-3582.133) [-3553.611] (-3547.466) -- 0:20:49
112000 -- (-3549.844) (-3550.811) [-3559.535] (-3566.698) * (-3581.386) (-3554.377) (-3558.657) [-3554.658] -- 0:20:44
113000 -- [-3559.440] (-3538.271) (-3576.832) (-3568.475) * (-3579.413) [-3555.153] (-3566.784) (-3564.264) -- 0:20:48
114000 -- [-3548.403] (-3568.349) (-3563.486) (-3558.629) * (-3562.700) (-3553.436) [-3556.979] (-3574.837) -- 0:20:43
115000 -- (-3547.710) (-3564.300) (-3567.293) [-3560.291] * [-3557.225] (-3556.651) (-3554.406) (-3580.270) -- 0:20:39
Average standard deviation of split frequencies: 0.019416
116000 -- [-3552.498] (-3569.760) (-3551.952) (-3559.703) * (-3574.678) [-3553.336] (-3560.267) (-3564.685) -- 0:20:42
117000 -- (-3569.665) [-3554.486] (-3557.387) (-3565.345) * (-3558.410) (-3550.086) [-3544.875] (-3570.419) -- 0:20:37
118000 -- (-3561.987) (-3565.179) (-3554.695) [-3555.593] * [-3552.025] (-3560.922) (-3567.087) (-3568.138) -- 0:20:33
119000 -- (-3559.452) (-3570.784) (-3553.473) [-3566.468] * (-3557.838) (-3578.893) [-3556.182] (-3567.278) -- 0:20:36
120000 -- [-3552.973] (-3553.752) (-3559.041) (-3582.421) * (-3561.510) [-3565.737] (-3557.514) (-3561.281) -- 0:20:32
Average standard deviation of split frequencies: 0.018944
121000 -- (-3564.699) [-3548.487] (-3562.898) (-3571.043) * (-3574.202) (-3564.929) [-3555.587] (-3553.192) -- 0:20:27
122000 -- (-3558.973) [-3554.797] (-3566.172) (-3561.584) * (-3560.144) (-3568.009) (-3578.534) [-3560.731] -- 0:20:30
123000 -- (-3555.108) [-3563.214] (-3561.155) (-3563.180) * (-3559.450) (-3564.804) (-3559.221) [-3572.309] -- 0:20:26
124000 -- (-3569.971) [-3553.097] (-3556.741) (-3569.185) * (-3558.908) (-3562.676) (-3564.863) [-3576.602] -- 0:20:29
125000 -- [-3552.955] (-3556.411) (-3570.833) (-3561.581) * (-3570.752) [-3550.402] (-3576.279) (-3555.719) -- 0:20:25
Average standard deviation of split frequencies: 0.018291
126000 -- (-3566.286) (-3551.085) (-3566.404) [-3566.942] * (-3561.416) (-3549.867) [-3551.124] (-3560.148) -- 0:20:20
127000 -- [-3556.456] (-3553.722) (-3565.889) (-3572.471) * (-3570.743) [-3558.116] (-3580.294) (-3571.963) -- 0:20:23
128000 -- (-3578.610) (-3564.282) (-3565.456) [-3562.521] * [-3553.729] (-3558.468) (-3566.992) (-3563.875) -- 0:20:19
129000 -- (-3552.718) (-3580.505) [-3552.214] (-3560.529) * [-3556.036] (-3556.340) (-3564.804) (-3552.415) -- 0:20:22
130000 -- (-3549.020) (-3554.925) [-3551.407] (-3557.446) * (-3559.245) (-3567.188) (-3560.619) [-3556.056] -- 0:20:18
Average standard deviation of split frequencies: 0.017766
131000 -- [-3556.122] (-3573.566) (-3571.556) (-3555.953) * [-3556.851] (-3557.919) (-3575.172) (-3559.468) -- 0:20:13
132000 -- (-3559.700) (-3567.232) (-3563.208) [-3562.287] * [-3557.531] (-3572.737) (-3564.392) (-3565.045) -- 0:20:16
133000 -- (-3563.195) (-3567.220) [-3542.609] (-3570.298) * (-3553.602) (-3568.478) (-3564.224) [-3550.417] -- 0:20:12
134000 -- (-3566.571) (-3573.166) (-3563.172) [-3557.080] * (-3572.588) (-3574.730) (-3570.020) [-3555.578] -- 0:20:14
135000 -- (-3552.552) (-3558.990) [-3552.081] (-3574.205) * (-3570.886) [-3559.055] (-3579.246) (-3563.469) -- 0:20:11
Average standard deviation of split frequencies: 0.018198
136000 -- (-3570.575) (-3554.761) [-3554.543] (-3558.105) * (-3576.406) (-3580.179) [-3564.004] (-3586.999) -- 0:20:07
137000 -- (-3563.864) (-3561.447) (-3570.905) [-3551.742] * [-3560.468] (-3559.124) (-3577.018) (-3552.633) -- 0:20:09
138000 -- (-3580.323) (-3564.871) [-3555.324] (-3548.352) * (-3558.666) (-3560.516) (-3551.777) [-3561.002] -- 0:20:05
139000 -- (-3556.221) (-3560.084) (-3557.331) [-3560.768] * (-3561.418) (-3563.319) [-3550.542] (-3569.892) -- 0:20:07
140000 -- (-3551.733) (-3568.933) [-3554.946] (-3565.479) * [-3550.458] (-3550.346) (-3562.992) (-3557.314) -- 0:20:04
Average standard deviation of split frequencies: 0.016885
141000 -- (-3560.028) [-3563.995] (-3567.073) (-3552.805) * (-3556.111) [-3545.818] (-3563.090) (-3569.937) -- 0:20:06
142000 -- (-3563.185) [-3555.800] (-3566.499) (-3565.136) * (-3555.513) [-3543.241] (-3564.385) (-3559.218) -- 0:20:02
143000 -- (-3576.994) (-3553.012) [-3565.369] (-3564.847) * (-3556.968) [-3551.383] (-3557.316) (-3555.794) -- 0:19:58
144000 -- (-3558.461) [-3549.742] (-3558.866) (-3573.447) * (-3549.251) (-3562.858) (-3581.585) [-3561.915] -- 0:20:00
145000 -- (-3560.388) [-3556.520] (-3552.326) (-3573.766) * (-3551.899) (-3566.707) (-3570.609) [-3565.466] -- 0:19:57
Average standard deviation of split frequencies: 0.015413
146000 -- (-3564.390) (-3571.797) (-3565.310) [-3552.725] * [-3552.662] (-3570.241) (-3567.151) (-3567.354) -- 0:19:59
147000 -- (-3559.741) (-3558.778) [-3562.938] (-3564.890) * (-3569.226) (-3558.053) (-3552.955) [-3543.834] -- 0:19:55
148000 -- (-3566.200) [-3556.481] (-3558.145) (-3569.759) * [-3553.640] (-3567.410) (-3566.593) (-3558.927) -- 0:19:57
149000 -- [-3554.233] (-3569.348) (-3564.423) (-3564.940) * [-3553.504] (-3555.036) (-3563.769) (-3557.614) -- 0:19:53
150000 -- (-3557.725) (-3577.253) (-3558.974) [-3558.356] * (-3564.536) (-3556.391) (-3560.078) [-3549.246] -- 0:19:55
Average standard deviation of split frequencies: 0.014260
151000 -- [-3553.306] (-3568.229) (-3555.955) (-3570.549) * (-3575.163) (-3559.012) [-3554.034] (-3553.084) -- 0:19:51
152000 -- (-3559.646) (-3578.491) (-3560.023) [-3552.258] * (-3570.426) (-3559.987) [-3560.381] (-3559.716) -- 0:19:53
153000 -- [-3558.730] (-3574.588) (-3565.177) (-3552.209) * (-3568.063) (-3572.479) (-3565.839) [-3564.489] -- 0:19:50
154000 -- (-3563.939) (-3566.024) (-3571.524) [-3556.642] * [-3557.176] (-3567.556) (-3574.621) (-3559.733) -- 0:19:46
155000 -- (-3578.991) (-3557.051) [-3559.566] (-3558.764) * (-3559.949) (-3568.742) [-3562.586] (-3560.893) -- 0:19:48
Average standard deviation of split frequencies: 0.013752
156000 -- (-3567.131) (-3564.788) (-3565.892) [-3560.087] * (-3573.397) (-3557.916) (-3548.732) [-3567.289] -- 0:19:44
157000 -- (-3567.747) (-3566.940) [-3553.006] (-3561.704) * (-3547.487) (-3560.731) (-3558.587) [-3557.497] -- 0:19:46
158000 -- (-3575.710) (-3562.656) [-3559.663] (-3558.765) * (-3557.729) (-3558.479) [-3548.603] (-3564.072) -- 0:19:43
159000 -- (-3577.293) (-3567.624) [-3551.678] (-3555.504) * (-3566.989) (-3560.487) [-3553.868] (-3572.912) -- 0:19:39
160000 -- [-3560.743] (-3576.391) (-3566.369) (-3551.330) * (-3567.089) [-3558.404] (-3554.899) (-3567.142) -- 0:19:41
Average standard deviation of split frequencies: 0.012874
161000 -- (-3564.210) (-3576.325) (-3560.953) [-3551.586] * (-3557.742) (-3562.713) (-3566.712) [-3562.055] -- 0:19:37
162000 -- (-3552.607) (-3575.338) [-3554.471] (-3566.336) * (-3568.513) (-3565.930) [-3565.830] (-3575.692) -- 0:19:39
163000 -- [-3565.903] (-3560.815) (-3554.464) (-3568.713) * [-3562.248] (-3573.707) (-3560.732) (-3558.144) -- 0:19:35
164000 -- (-3561.674) [-3553.046] (-3561.722) (-3576.627) * (-3558.979) (-3561.041) (-3565.143) [-3553.364] -- 0:19:37
165000 -- (-3567.361) [-3554.761] (-3561.537) (-3570.591) * (-3553.505) [-3550.909] (-3565.210) (-3560.765) -- 0:19:34
Average standard deviation of split frequencies: 0.012361
166000 -- (-3563.633) (-3595.056) (-3551.241) [-3566.932] * (-3554.622) (-3571.381) [-3566.703] (-3569.783) -- 0:19:30
167000 -- (-3566.765) (-3552.918) [-3546.732] (-3561.263) * (-3553.299) (-3571.320) [-3548.671] (-3572.059) -- 0:19:32
168000 -- (-3560.956) (-3560.957) [-3547.852] (-3562.333) * (-3556.697) [-3551.496] (-3564.570) (-3569.166) -- 0:19:28
169000 -- [-3558.579] (-3556.747) (-3560.913) (-3579.622) * (-3558.218) (-3555.392) [-3553.958] (-3566.752) -- 0:19:25
170000 -- (-3577.909) [-3552.195] (-3558.387) (-3560.121) * [-3559.848] (-3560.854) (-3562.224) (-3578.706) -- 0:19:26
Average standard deviation of split frequencies: 0.013014
171000 -- (-3575.139) (-3563.202) (-3565.038) [-3564.211] * [-3551.523] (-3560.155) (-3559.127) (-3570.607) -- 0:19:23
172000 -- (-3573.365) (-3558.691) (-3558.268) [-3568.186] * [-3556.927] (-3580.336) (-3571.177) (-3569.240) -- 0:19:24
173000 -- (-3562.439) (-3572.518) (-3562.969) [-3549.267] * [-3548.135] (-3574.679) (-3550.439) (-3572.066) -- 0:19:21
174000 -- (-3576.005) (-3561.893) (-3564.035) [-3556.692] * (-3554.148) (-3566.337) (-3566.138) [-3547.900] -- 0:19:18
175000 -- [-3556.516] (-3562.389) (-3549.971) (-3554.616) * (-3558.894) [-3563.189] (-3562.469) (-3555.511) -- 0:19:19
Average standard deviation of split frequencies: 0.013130
176000 -- (-3555.503) (-3568.052) (-3574.380) [-3548.544] * (-3572.476) [-3548.345] (-3563.590) (-3567.365) -- 0:19:16
177000 -- (-3580.945) (-3568.180) [-3549.757] (-3555.748) * (-3571.944) (-3555.608) (-3560.191) [-3554.226] -- 0:19:17
178000 -- (-3559.653) (-3566.570) [-3551.578] (-3565.559) * (-3568.552) [-3548.093] (-3558.940) (-3579.324) -- 0:19:14
179000 -- (-3546.549) [-3555.382] (-3569.631) (-3553.906) * (-3575.446) (-3566.853) [-3550.586] (-3560.638) -- 0:19:11
180000 -- [-3550.267] (-3548.385) (-3572.921) (-3543.717) * (-3565.688) (-3552.796) [-3554.477] (-3562.921) -- 0:19:12
Average standard deviation of split frequencies: 0.012122
181000 -- (-3571.762) (-3563.791) (-3560.838) [-3552.901] * (-3560.096) [-3561.546] (-3561.601) (-3557.139) -- 0:19:09
182000 -- [-3549.984] (-3562.401) (-3574.655) (-3551.390) * (-3558.821) (-3554.706) [-3553.801] (-3545.788) -- 0:19:10
183000 -- (-3548.045) (-3555.521) (-3560.436) [-3552.222] * (-3568.747) (-3560.158) (-3558.064) [-3552.900] -- 0:19:07
184000 -- (-3559.801) [-3556.820] (-3568.339) (-3553.252) * (-3562.311) [-3557.142] (-3559.664) (-3558.378) -- 0:19:08
185000 -- (-3571.354) [-3562.227] (-3570.325) (-3567.175) * [-3559.733] (-3563.988) (-3564.794) (-3563.765) -- 0:19:05
Average standard deviation of split frequencies: 0.012926
186000 -- (-3560.929) (-3572.116) [-3552.417] (-3558.581) * [-3555.742] (-3570.543) (-3558.114) (-3576.714) -- 0:19:02
187000 -- (-3563.097) (-3564.385) (-3561.167) [-3553.217] * (-3567.420) (-3570.902) (-3567.253) [-3555.628] -- 0:19:03
188000 -- (-3556.273) [-3561.019] (-3569.814) (-3561.466) * (-3576.917) (-3571.955) [-3550.121] (-3551.063) -- 0:19:00
189000 -- (-3567.972) [-3548.548] (-3557.998) (-3553.554) * (-3557.197) (-3570.522) [-3548.966] (-3566.857) -- 0:19:01
190000 -- [-3552.691] (-3552.616) (-3565.792) (-3557.692) * (-3560.079) (-3572.636) [-3551.653] (-3561.681) -- 0:18:58
Average standard deviation of split frequencies: 0.012790
191000 -- (-3555.342) [-3562.840] (-3578.078) (-3557.078) * (-3562.287) [-3555.977] (-3564.288) (-3571.823) -- 0:18:59
192000 -- (-3567.542) [-3568.641] (-3563.859) (-3566.496) * (-3561.240) (-3555.536) (-3565.708) [-3558.897] -- 0:18:56
193000 -- [-3554.087] (-3570.688) (-3556.610) (-3562.730) * [-3548.313] (-3555.185) (-3564.340) (-3572.210) -- 0:18:57
194000 -- (-3555.044) [-3552.892] (-3550.632) (-3572.820) * (-3554.744) (-3568.769) [-3558.966] (-3557.269) -- 0:18:54
195000 -- [-3555.719] (-3561.598) (-3554.238) (-3574.410) * (-3579.820) (-3575.815) (-3548.068) [-3557.787] -- 0:18:51
Average standard deviation of split frequencies: 0.012218
196000 -- (-3557.344) (-3562.321) (-3557.990) [-3563.402] * (-3576.626) (-3570.226) (-3561.743) [-3561.975] -- 0:18:52
197000 -- [-3566.416] (-3562.692) (-3566.498) (-3568.128) * (-3560.015) (-3558.243) [-3545.925] (-3563.964) -- 0:18:49
198000 -- (-3572.454) [-3563.150] (-3579.658) (-3551.135) * (-3567.585) (-3555.613) [-3555.566] (-3567.888) -- 0:18:50
199000 -- [-3552.384] (-3566.080) (-3561.508) (-3565.556) * (-3551.042) (-3559.609) (-3562.508) [-3558.251] -- 0:18:47
200000 -- [-3558.156] (-3564.176) (-3562.322) (-3563.119) * (-3555.915) [-3550.934] (-3561.604) (-3566.685) -- 0:18:44
Average standard deviation of split frequencies: 0.011354
201000 -- (-3559.674) (-3575.266) (-3566.411) [-3553.234] * [-3553.636] (-3569.659) (-3568.621) (-3556.534) -- 0:18:44
202000 -- (-3558.650) [-3564.714] (-3578.034) (-3559.670) * (-3562.921) (-3574.712) (-3562.755) [-3552.880] -- 0:18:41
203000 -- (-3570.456) (-3568.577) [-3551.795] (-3551.044) * [-3568.500] (-3565.080) (-3555.057) (-3567.942) -- 0:18:42
204000 -- [-3561.656] (-3568.151) (-3571.862) (-3551.089) * (-3571.111) [-3554.484] (-3562.464) (-3555.369) -- 0:18:39
205000 -- [-3559.628] (-3570.477) (-3569.630) (-3577.349) * [-3551.159] (-3556.655) (-3552.664) (-3556.552) -- 0:18:40
Average standard deviation of split frequencies: 0.011762
206000 -- (-3572.089) [-3552.696] (-3559.030) (-3563.824) * (-3556.053) (-3567.942) [-3550.902] (-3570.510) -- 0:18:37
207000 -- (-3561.376) [-3556.074] (-3564.204) (-3557.681) * (-3556.596) (-3557.548) (-3562.628) [-3569.402] -- 0:18:34
208000 -- [-3558.650] (-3561.626) (-3557.316) (-3560.859) * [-3556.108] (-3556.940) (-3568.509) (-3569.332) -- 0:18:35
209000 -- [-3565.273] (-3576.179) (-3558.181) (-3567.696) * (-3569.948) [-3559.246] (-3552.248) (-3560.349) -- 0:18:32
210000 -- (-3567.582) (-3549.396) [-3555.980] (-3567.352) * (-3569.253) (-3546.370) [-3555.568] (-3553.921) -- 0:18:33
Average standard deviation of split frequencies: 0.011508
211000 -- (-3579.636) (-3562.809) [-3565.334] (-3564.927) * (-3583.462) (-3560.454) [-3551.259] (-3556.981) -- 0:18:30
212000 -- (-3571.559) (-3557.141) [-3555.378] (-3569.493) * [-3545.896] (-3570.452) (-3554.868) (-3575.991) -- 0:18:27
213000 -- (-3562.835) [-3557.777] (-3557.233) (-3560.806) * [-3550.272] (-3564.645) (-3555.702) (-3564.096) -- 0:18:28
214000 -- [-3552.889] (-3557.471) (-3572.871) (-3572.024) * (-3549.261) (-3588.963) (-3563.044) [-3544.499] -- 0:18:25
215000 -- [-3556.371] (-3564.614) (-3561.508) (-3558.212) * (-3555.048) (-3550.276) (-3565.219) [-3560.172] -- 0:18:26
Average standard deviation of split frequencies: 0.010548
216000 -- (-3559.199) (-3566.271) (-3569.851) [-3558.114] * (-3564.546) (-3566.520) [-3559.079] (-3568.179) -- 0:18:23
217000 -- (-3557.094) (-3578.283) (-3559.421) [-3556.628] * [-3557.253] (-3579.638) (-3566.913) (-3562.546) -- 0:18:20
218000 -- (-3551.221) [-3552.178] (-3557.130) (-3554.522) * (-3577.699) [-3558.914] (-3558.500) (-3560.424) -- 0:18:21
219000 -- (-3563.435) (-3580.656) (-3558.970) [-3557.710] * [-3552.605] (-3565.117) (-3562.534) (-3560.966) -- 0:18:18
220000 -- [-3547.958] (-3561.997) (-3581.278) (-3562.647) * [-3554.539] (-3555.768) (-3569.446) (-3559.830) -- 0:18:19
Average standard deviation of split frequencies: 0.010727
221000 -- (-3553.873) (-3577.981) (-3552.123) [-3553.881] * (-3547.053) (-3575.732) [-3559.306] (-3587.169) -- 0:18:16
222000 -- (-3565.965) (-3563.739) (-3560.361) [-3565.053] * [-3553.955] (-3565.929) (-3555.903) (-3564.965) -- 0:18:16
223000 -- (-3570.542) [-3552.784] (-3562.127) (-3580.684) * (-3547.564) (-3563.206) [-3561.352] (-3557.986) -- 0:18:14
224000 -- [-3551.848] (-3563.934) (-3575.350) (-3579.075) * (-3556.639) [-3557.261] (-3557.238) (-3565.947) -- 0:18:11
225000 -- (-3564.007) (-3573.218) (-3569.486) [-3555.811] * [-3566.708] (-3559.537) (-3568.946) (-3571.022) -- 0:18:11
Average standard deviation of split frequencies: 0.010557
226000 -- (-3549.273) [-3553.669] (-3558.078) (-3574.196) * (-3588.385) [-3553.561] (-3560.893) (-3566.473) -- 0:18:09
227000 -- (-3552.757) [-3558.409] (-3564.047) (-3561.057) * (-3572.554) [-3549.166] (-3576.534) (-3553.384) -- 0:18:09
228000 -- [-3549.946] (-3552.484) (-3571.051) (-3561.908) * (-3562.863) [-3552.721] (-3577.623) (-3559.724) -- 0:18:06
229000 -- [-3553.788] (-3556.919) (-3569.772) (-3557.643) * [-3554.075] (-3569.900) (-3576.410) (-3564.969) -- 0:18:04
230000 -- (-3557.539) [-3555.245] (-3564.078) (-3559.754) * [-3555.395] (-3559.076) (-3562.924) (-3568.062) -- 0:18:04
Average standard deviation of split frequencies: 0.009878
231000 -- (-3558.772) [-3554.721] (-3572.018) (-3561.461) * [-3563.733] (-3563.693) (-3566.604) (-3555.675) -- 0:18:01
232000 -- (-3581.157) [-3543.788] (-3566.076) (-3563.483) * (-3549.378) (-3563.602) (-3580.986) [-3553.879] -- 0:18:02
233000 -- (-3556.583) [-3558.167] (-3569.766) (-3564.120) * (-3547.665) [-3553.239] (-3561.973) (-3584.402) -- 0:17:59
234000 -- [-3556.985] (-3566.400) (-3553.408) (-3569.576) * [-3547.578] (-3572.881) (-3561.861) (-3555.712) -- 0:17:56
235000 -- (-3571.408) [-3565.627] (-3564.901) (-3563.807) * (-3572.055) [-3544.559] (-3570.969) (-3567.372) -- 0:17:57
Average standard deviation of split frequencies: 0.010273
236000 -- (-3562.446) (-3557.045) [-3562.969] (-3565.448) * (-3570.173) (-3560.089) [-3558.500] (-3587.604) -- 0:17:54
237000 -- [-3544.667] (-3559.216) (-3559.020) (-3559.354) * [-3548.293] (-3570.278) (-3563.737) (-3572.647) -- 0:17:55
238000 -- (-3558.149) (-3565.408) [-3558.785] (-3552.874) * (-3569.030) [-3558.446] (-3555.650) (-3555.128) -- 0:17:52
239000 -- (-3573.578) (-3563.750) [-3565.896] (-3550.232) * (-3566.080) (-3553.727) [-3555.953] (-3558.547) -- 0:17:49
240000 -- (-3563.710) (-3559.235) [-3552.251] (-3552.837) * (-3561.991) (-3563.244) [-3553.234] (-3560.895) -- 0:17:50
Average standard deviation of split frequencies: 0.010313
241000 -- (-3550.486) (-3565.729) (-3559.366) [-3550.403] * (-3559.059) (-3567.301) [-3550.637] (-3570.709) -- 0:17:47
242000 -- (-3578.241) (-3557.464) (-3583.288) [-3558.878] * (-3563.599) (-3565.363) [-3549.688] (-3574.723) -- 0:17:48
243000 -- (-3562.001) [-3550.273] (-3565.291) (-3576.815) * (-3560.642) (-3563.272) [-3549.383] (-3569.088) -- 0:17:45
244000 -- (-3555.257) (-3560.240) (-3573.807) [-3555.792] * (-3564.658) (-3568.029) [-3551.279] (-3564.276) -- 0:17:42
245000 -- (-3557.359) (-3556.909) (-3577.168) [-3562.678] * [-3546.275] (-3548.076) (-3550.289) (-3560.215) -- 0:17:43
Average standard deviation of split frequencies: 0.009699
246000 -- (-3556.763) [-3550.551] (-3567.158) (-3554.624) * [-3557.713] (-3559.752) (-3562.816) (-3557.523) -- 0:17:40
247000 -- (-3562.242) (-3562.569) (-3566.271) [-3550.041] * (-3566.789) (-3566.775) (-3544.826) [-3550.149] -- 0:17:40
248000 -- (-3549.627) [-3549.872] (-3559.780) (-3566.361) * (-3553.106) (-3561.874) (-3561.468) [-3562.292] -- 0:17:38
249000 -- [-3557.258] (-3554.613) (-3563.710) (-3565.973) * (-3547.658) [-3566.148] (-3559.638) (-3578.467) -- 0:17:35
250000 -- [-3549.814] (-3560.530) (-3561.120) (-3555.344) * [-3552.611] (-3566.350) (-3544.852) (-3556.622) -- 0:17:36
Average standard deviation of split frequencies: 0.009207
251000 -- (-3561.484) [-3544.577] (-3548.034) (-3562.645) * (-3568.360) (-3578.649) (-3560.989) [-3561.125] -- 0:17:33
252000 -- (-3565.764) [-3555.285] (-3561.474) (-3574.716) * (-3559.711) (-3557.940) (-3564.353) [-3553.216] -- 0:17:33
253000 -- (-3573.529) (-3546.266) [-3554.281] (-3571.200) * (-3558.030) (-3581.479) (-3553.398) [-3549.754] -- 0:17:31
254000 -- (-3568.084) (-3556.635) [-3549.061] (-3564.732) * (-3573.239) [-3553.270] (-3570.423) (-3564.004) -- 0:17:28
255000 -- (-3564.094) [-3554.673] (-3560.988) (-3573.216) * (-3563.815) (-3580.610) (-3568.527) [-3560.974] -- 0:17:28
Average standard deviation of split frequencies: 0.008632
256000 -- (-3553.193) [-3562.854] (-3562.307) (-3563.240) * (-3563.559) (-3566.576) (-3565.404) [-3543.898] -- 0:17:26
257000 -- (-3554.013) [-3554.489] (-3562.117) (-3571.684) * (-3562.006) (-3558.841) (-3568.941) [-3547.506] -- 0:17:26
258000 -- (-3564.675) (-3564.623) (-3548.788) [-3560.813] * (-3560.103) [-3565.453] (-3552.066) (-3561.917) -- 0:17:23
259000 -- (-3556.393) (-3562.223) [-3551.797] (-3552.800) * (-3566.392) (-3566.533) (-3551.650) [-3556.781] -- 0:17:24
260000 -- [-3557.468] (-3579.550) (-3553.262) (-3562.526) * (-3573.938) (-3578.043) (-3575.796) [-3549.345] -- 0:17:21
Average standard deviation of split frequencies: 0.008267
261000 -- [-3556.242] (-3555.897) (-3562.073) (-3558.424) * (-3570.280) [-3556.413] (-3556.380) (-3555.916) -- 0:17:21
262000 -- (-3570.096) [-3553.616] (-3561.486) (-3571.575) * (-3561.043) [-3557.614] (-3574.775) (-3553.935) -- 0:17:19
263000 -- (-3562.213) (-3555.530) [-3558.747] (-3553.183) * (-3548.942) (-3568.795) (-3563.205) [-3549.926] -- 0:17:16
264000 -- (-3564.135) (-3561.599) (-3564.412) [-3550.197] * (-3554.110) (-3571.817) (-3552.810) [-3548.273] -- 0:17:17
265000 -- [-3559.217] (-3573.633) (-3591.509) (-3559.957) * [-3553.731] (-3556.296) (-3566.540) (-3556.063) -- 0:17:14
Average standard deviation of split frequencies: 0.008365
266000 -- [-3553.048] (-3570.730) (-3583.173) (-3559.802) * [-3551.646] (-3562.370) (-3557.163) (-3567.521) -- 0:17:14
267000 -- (-3568.435) [-3554.730] (-3576.491) (-3564.691) * (-3558.311) (-3560.106) [-3553.380] (-3572.441) -- 0:17:12
268000 -- (-3557.506) (-3551.998) [-3554.538] (-3553.917) * [-3545.919] (-3568.633) (-3553.348) (-3567.152) -- 0:17:12
269000 -- (-3564.573) (-3573.329) [-3566.589] (-3552.108) * [-3551.543] (-3579.104) (-3557.248) (-3563.495) -- 0:17:09
270000 -- (-3556.888) (-3550.618) (-3563.276) [-3551.933] * (-3568.560) (-3563.833) (-3557.320) [-3567.923] -- 0:17:10
Average standard deviation of split frequencies: 0.008019
271000 -- [-3555.763] (-3565.753) (-3567.217) (-3554.050) * (-3557.042) (-3559.936) [-3561.070] (-3573.992) -- 0:17:07
272000 -- (-3566.211) [-3556.462] (-3552.448) (-3547.391) * [-3567.898] (-3567.310) (-3563.421) (-3566.463) -- 0:17:05
273000 -- (-3558.704) [-3551.051] (-3552.008) (-3556.932) * (-3560.226) [-3556.497] (-3578.897) (-3563.754) -- 0:17:05
274000 -- (-3558.231) (-3553.521) (-3557.355) [-3552.298] * (-3556.053) [-3564.166] (-3570.687) (-3576.878) -- 0:17:02
275000 -- (-3564.199) (-3558.701) (-3572.382) [-3541.145] * [-3557.414] (-3557.143) (-3561.358) (-3557.757) -- 0:17:02
Average standard deviation of split frequencies: 0.007559
276000 -- (-3558.217) (-3551.960) (-3563.938) [-3559.286] * (-3548.849) (-3559.575) (-3580.226) [-3549.022] -- 0:17:00
277000 -- (-3560.528) [-3561.348] (-3570.152) (-3562.730) * (-3557.168) (-3564.726) (-3565.092) [-3548.732] -- 0:16:57
278000 -- (-3559.679) [-3570.761] (-3573.581) (-3564.081) * (-3555.192) (-3566.197) [-3548.733] (-3555.108) -- 0:16:58
279000 -- (-3582.064) (-3551.585) (-3576.978) [-3565.061] * (-3572.634) (-3554.643) [-3542.519] (-3573.659) -- 0:16:55
280000 -- [-3564.051] (-3569.329) (-3560.552) (-3559.143) * (-3562.644) (-3580.545) [-3551.954] (-3569.826) -- 0:16:55
Average standard deviation of split frequencies: 0.007488
281000 -- (-3565.414) [-3563.435] (-3564.671) (-3557.517) * (-3564.714) (-3560.747) [-3544.909] (-3563.248) -- 0:16:53
282000 -- (-3577.468) [-3546.349] (-3560.546) (-3559.934) * [-3563.117] (-3574.238) (-3575.095) (-3562.078) -- 0:16:53
283000 -- (-3561.307) (-3556.016) [-3553.719] (-3549.654) * [-3549.501] (-3558.768) (-3557.789) (-3557.604) -- 0:16:50
284000 -- (-3570.368) (-3558.464) (-3555.970) [-3552.403] * (-3558.207) (-3552.216) [-3562.373] (-3563.204) -- 0:16:50
285000 -- (-3563.502) (-3566.699) (-3562.639) [-3547.082] * (-3565.209) [-3557.198] (-3560.961) (-3565.527) -- 0:16:48
Average standard deviation of split frequencies: 0.007501
286000 -- (-3575.505) (-3573.999) (-3554.179) [-3560.141] * (-3570.891) (-3557.049) [-3551.690] (-3560.466) -- 0:16:48
287000 -- (-3558.144) [-3554.091] (-3560.096) (-3554.619) * (-3551.470) [-3551.218] (-3568.672) (-3560.735) -- 0:16:46
288000 -- (-3574.501) (-3553.063) [-3555.638] (-3559.195) * (-3570.121) [-3550.772] (-3572.566) (-3562.970) -- 0:16:43
289000 -- (-3551.531) [-3548.284] (-3565.142) (-3563.571) * [-3546.032] (-3559.533) (-3564.213) (-3557.451) -- 0:16:43
290000 -- (-3543.174) (-3556.963) (-3561.481) [-3551.323] * (-3565.219) [-3556.304] (-3569.369) (-3569.042) -- 0:16:41
Average standard deviation of split frequencies: 0.007083
291000 -- (-3560.210) (-3566.743) (-3563.844) [-3553.721] * [-3560.113] (-3554.512) (-3555.923) (-3555.412) -- 0:16:41
292000 -- [-3565.354] (-3560.800) (-3559.460) (-3555.115) * (-3562.477) [-3561.647] (-3556.993) (-3561.167) -- 0:16:38
293000 -- [-3557.350] (-3569.823) (-3556.174) (-3557.467) * (-3553.619) [-3548.483] (-3554.909) (-3558.099) -- 0:16:36
294000 -- (-3560.343) [-3557.506] (-3571.247) (-3569.970) * (-3560.113) [-3550.962] (-3560.618) (-3583.234) -- 0:16:36
295000 -- [-3548.785] (-3560.612) (-3573.788) (-3566.530) * (-3563.040) (-3558.812) [-3559.305] (-3561.312) -- 0:16:34
Average standard deviation of split frequencies: 0.006934
296000 -- [-3545.734] (-3569.803) (-3552.594) (-3549.866) * (-3564.911) [-3570.098] (-3548.717) (-3559.794) -- 0:16:31
297000 -- (-3553.694) (-3558.697) (-3570.588) [-3549.999] * (-3569.957) [-3566.023] (-3556.789) (-3565.000) -- 0:16:31
298000 -- (-3554.263) [-3555.606] (-3572.621) (-3556.381) * [-3554.238] (-3576.014) (-3566.768) (-3558.541) -- 0:16:29
299000 -- [-3556.827] (-3548.901) (-3553.496) (-3563.940) * (-3562.759) [-3556.684] (-3550.136) (-3568.602) -- 0:16:29
300000 -- [-3552.606] (-3559.329) (-3554.245) (-3547.714) * (-3568.280) (-3572.548) [-3559.099] (-3560.962) -- 0:16:27
Average standard deviation of split frequencies: 0.007709
301000 -- (-3569.736) [-3544.724] (-3560.428) (-3554.692) * (-3565.105) (-3564.588) (-3560.613) [-3552.105] -- 0:16:24
302000 -- (-3564.237) (-3554.071) (-3564.589) [-3548.764] * [-3563.000] (-3563.240) (-3561.499) (-3575.201) -- 0:16:24
303000 -- (-3567.310) (-3565.814) [-3562.553] (-3562.312) * (-3563.743) (-3567.370) (-3553.312) [-3564.234] -- 0:16:22
304000 -- (-3560.004) (-3555.480) (-3565.193) [-3557.574] * (-3551.945) (-3565.134) (-3552.131) [-3553.794] -- 0:16:22
305000 -- (-3560.908) [-3564.483] (-3561.444) (-3562.368) * (-3573.006) [-3549.237] (-3568.316) (-3554.938) -- 0:16:19
Average standard deviation of split frequencies: 0.007671
306000 -- (-3571.138) [-3554.128] (-3559.184) (-3567.984) * (-3573.937) [-3553.718] (-3577.594) (-3559.437) -- 0:16:17
307000 -- (-3553.968) (-3559.414) (-3570.661) [-3565.047] * (-3563.577) [-3551.900] (-3549.351) (-3556.307) -- 0:16:17
308000 -- (-3550.496) (-3554.908) [-3541.479] (-3560.814) * (-3571.855) [-3557.941] (-3564.209) (-3571.659) -- 0:16:15
309000 -- (-3550.001) (-3548.524) [-3550.276] (-3559.059) * (-3560.857) (-3563.180) [-3550.344] (-3566.418) -- 0:16:15
310000 -- (-3559.966) [-3562.508] (-3559.837) (-3553.158) * [-3558.967] (-3556.776) (-3562.563) (-3563.368) -- 0:16:12
Average standard deviation of split frequencies: 0.007277
311000 -- (-3550.969) [-3558.237] (-3588.033) (-3560.926) * (-3577.231) (-3559.990) [-3551.482] (-3551.071) -- 0:16:12
312000 -- (-3567.442) (-3565.695) [-3554.614] (-3556.207) * (-3556.675) (-3568.405) [-3558.882] (-3548.133) -- 0:16:10
313000 -- (-3562.901) [-3563.775] (-3564.165) (-3565.072) * (-3554.655) (-3567.669) [-3549.601] (-3566.338) -- 0:16:10
314000 -- (-3579.938) (-3549.100) [-3555.306] (-3557.789) * (-3555.713) (-3560.973) (-3565.519) [-3558.678] -- 0:16:07
315000 -- (-3571.256) (-3564.819) [-3561.566] (-3568.212) * [-3560.638] (-3566.192) (-3568.300) (-3563.047) -- 0:16:07
Average standard deviation of split frequencies: 0.007246
316000 -- [-3558.576] (-3571.864) (-3563.585) (-3561.616) * [-3560.626] (-3561.996) (-3563.181) (-3562.342) -- 0:16:05
317000 -- (-3556.043) (-3584.407) [-3544.924] (-3578.974) * (-3570.848) [-3563.567] (-3566.778) (-3552.946) -- 0:16:03
318000 -- [-3544.705] (-3565.844) (-3542.334) (-3571.777) * (-3565.932) (-3560.857) [-3551.893] (-3565.065) -- 0:16:02
319000 -- (-3579.946) [-3556.564] (-3561.273) (-3565.611) * (-3561.383) (-3581.713) [-3550.113] (-3563.289) -- 0:16:00
320000 -- [-3564.255] (-3564.154) (-3563.462) (-3573.723) * [-3559.912] (-3556.160) (-3565.227) (-3555.697) -- 0:16:00
Average standard deviation of split frequencies: 0.006983
321000 -- (-3561.404) (-3557.954) (-3556.705) [-3552.320] * (-3560.881) (-3564.076) [-3547.574] (-3553.273) -- 0:15:58
322000 -- (-3559.461) (-3566.810) (-3564.181) [-3553.410] * (-3548.556) (-3555.670) [-3554.769] (-3569.027) -- 0:15:55
323000 -- (-3576.577) (-3565.100) [-3559.899] (-3556.803) * (-3553.802) (-3563.393) [-3554.640] (-3569.762) -- 0:15:55
324000 -- (-3557.602) [-3552.406] (-3552.231) (-3555.908) * (-3565.811) (-3561.844) [-3548.358] (-3565.247) -- 0:15:53
325000 -- (-3568.259) (-3555.603) [-3559.000] (-3559.680) * [-3558.217] (-3558.082) (-3547.542) (-3571.732) -- 0:15:53
Average standard deviation of split frequencies: 0.006989
326000 -- (-3562.638) (-3567.231) [-3557.821] (-3570.898) * (-3559.243) (-3559.789) (-3560.701) [-3560.027] -- 0:15:51
327000 -- (-3560.131) [-3563.729] (-3565.613) (-3560.794) * (-3582.505) (-3563.236) (-3559.137) [-3550.066] -- 0:15:50
328000 -- (-3567.272) (-3559.939) [-3547.005] (-3554.255) * (-3567.392) [-3558.064] (-3551.809) (-3558.944) -- 0:15:48
329000 -- [-3551.445] (-3564.169) (-3566.689) (-3583.758) * (-3571.393) (-3565.163) [-3561.398] (-3563.643) -- 0:15:46
330000 -- (-3567.794) [-3566.358] (-3565.086) (-3557.595) * (-3560.233) (-3557.224) [-3554.469] (-3549.273) -- 0:15:46
Average standard deviation of split frequencies: 0.006885
331000 -- (-3563.371) (-3556.584) (-3570.630) [-3556.500] * (-3568.454) (-3563.665) (-3552.566) [-3554.470] -- 0:15:43
332000 -- (-3577.160) (-3558.323) [-3556.232] (-3563.875) * (-3564.012) (-3568.376) (-3548.506) [-3559.075] -- 0:15:43
333000 -- (-3560.989) (-3554.172) [-3569.285] (-3559.285) * (-3552.859) (-3579.375) (-3562.810) [-3560.403] -- 0:15:41
334000 -- (-3553.335) (-3562.429) [-3546.726] (-3559.495) * (-3557.094) (-3560.465) (-3570.629) [-3550.486] -- 0:15:39
335000 -- [-3553.892] (-3557.597) (-3562.387) (-3572.381) * (-3556.586) (-3552.375) [-3571.142] (-3559.992) -- 0:15:38
Average standard deviation of split frequencies: 0.006687
336000 -- (-3560.565) (-3567.107) [-3562.085] (-3575.446) * [-3553.559] (-3564.910) (-3557.029) (-3567.248) -- 0:15:36
337000 -- (-3570.202) [-3552.373] (-3556.944) (-3562.767) * (-3564.886) (-3572.334) [-3543.877] (-3561.064) -- 0:15:36
338000 -- (-3569.722) (-3569.975) [-3550.833] (-3553.465) * [-3563.474] (-3578.162) (-3557.124) (-3562.505) -- 0:15:34
339000 -- (-3568.092) (-3561.208) (-3573.895) [-3555.384] * [-3568.469] (-3567.716) (-3578.100) (-3555.314) -- 0:15:33
340000 -- (-3563.809) [-3553.304] (-3573.975) (-3567.064) * (-3559.565) (-3569.150) [-3564.812] (-3571.646) -- 0:15:31
Average standard deviation of split frequencies: 0.006317
341000 -- (-3568.173) (-3563.030) [-3555.739] (-3577.303) * (-3556.767) [-3557.814] (-3575.239) (-3564.390) -- 0:15:29
342000 -- (-3568.765) (-3565.479) (-3563.694) [-3545.792] * (-3574.379) (-3570.921) [-3558.136] (-3557.413) -- 0:15:29
343000 -- (-3581.675) (-3559.698) (-3567.001) [-3545.986] * [-3563.183] (-3564.047) (-3567.287) (-3561.517) -- 0:15:27
344000 -- (-3565.763) [-3558.642] (-3560.334) (-3553.150) * (-3566.827) (-3569.417) (-3567.582) [-3556.383] -- 0:15:26
345000 -- [-3551.593] (-3560.190) (-3564.315) (-3561.464) * (-3577.385) (-3570.448) (-3560.727) [-3543.491] -- 0:15:24
Average standard deviation of split frequencies: 0.006088
346000 -- (-3559.660) [-3553.003] (-3567.095) (-3572.241) * [-3559.415] (-3567.739) (-3566.970) (-3556.998) -- 0:15:22
347000 -- (-3574.298) [-3561.267] (-3572.882) (-3552.836) * (-3572.174) (-3558.795) [-3551.834] (-3560.053) -- 0:15:22
348000 -- (-3552.844) (-3557.403) [-3557.322] (-3560.009) * [-3553.116] (-3561.207) (-3557.204) (-3573.047) -- 0:15:19
349000 -- (-3569.269) (-3561.918) (-3568.717) [-3557.416] * (-3564.225) (-3556.432) [-3548.389] (-3550.997) -- 0:15:17
350000 -- (-3565.209) (-3551.183) (-3559.672) [-3549.652] * (-3581.820) [-3559.262] (-3564.613) (-3551.722) -- 0:15:17
Average standard deviation of split frequencies: 0.006722
351000 -- [-3551.235] (-3554.898) (-3569.730) (-3553.804) * (-3589.700) (-3569.602) (-3563.349) [-3552.175] -- 0:15:15
352000 -- (-3562.512) [-3557.727] (-3567.025) (-3556.824) * [-3550.800] (-3547.062) (-3567.928) (-3553.738) -- 0:15:14
353000 -- [-3564.214] (-3557.619) (-3580.176) (-3556.345) * [-3562.109] (-3557.573) (-3557.486) (-3566.254) -- 0:15:12
354000 -- (-3561.229) (-3562.838) (-3577.587) [-3549.735] * (-3558.237) [-3562.897] (-3560.758) (-3556.883) -- 0:15:10
355000 -- (-3560.902) [-3547.568] (-3573.221) (-3551.343) * (-3556.852) (-3554.687) [-3550.404] (-3550.553) -- 0:15:10
Average standard deviation of split frequencies: 0.006170
356000 -- (-3563.846) [-3562.399] (-3566.177) (-3563.727) * (-3568.575) [-3550.284] (-3560.214) (-3567.618) -- 0:15:08
357000 -- [-3550.599] (-3582.353) (-3560.004) (-3565.909) * [-3557.872] (-3565.991) (-3563.542) (-3549.349) -- 0:15:07
358000 -- (-3546.151) (-3560.734) (-3557.839) [-3552.622] * [-3547.994] (-3559.970) (-3566.438) (-3573.747) -- 0:15:05
359000 -- (-3556.013) [-3551.006] (-3564.906) (-3570.446) * [-3554.432] (-3555.964) (-3578.495) (-3574.433) -- 0:15:03
360000 -- (-3568.452) (-3566.578) [-3556.442] (-3557.546) * [-3557.510] (-3559.179) (-3582.597) (-3548.109) -- 0:15:03
Average standard deviation of split frequencies: 0.005979
361000 -- (-3560.828) (-3566.734) [-3551.693] (-3564.149) * [-3564.178] (-3564.768) (-3570.949) (-3562.878) -- 0:15:00
362000 -- (-3563.067) (-3555.548) [-3561.693] (-3562.700) * (-3566.271) [-3558.960] (-3571.866) (-3556.001) -- 0:15:00
363000 -- (-3559.211) (-3585.046) (-3568.065) [-3553.236] * (-3572.008) (-3564.290) (-3559.443) [-3561.475] -- 0:14:58
364000 -- (-3566.166) (-3582.483) (-3595.354) [-3564.051] * (-3559.434) (-3559.595) (-3565.135) [-3552.084] -- 0:14:56
365000 -- (-3557.255) (-3558.918) (-3575.600) [-3550.381] * [-3552.324] (-3547.462) (-3564.641) (-3560.987) -- 0:14:55
Average standard deviation of split frequencies: 0.006413
366000 -- [-3559.415] (-3554.914) (-3583.147) (-3573.096) * (-3559.775) [-3554.253] (-3557.565) (-3562.486) -- 0:14:53
367000 -- [-3559.965] (-3557.495) (-3572.883) (-3564.766) * [-3554.536] (-3564.578) (-3562.309) (-3571.712) -- 0:14:53
368000 -- (-3580.627) (-3567.405) (-3561.997) [-3551.148] * (-3562.707) [-3551.366] (-3565.540) (-3572.692) -- 0:14:51
369000 -- (-3578.352) (-3555.435) (-3570.282) [-3565.584] * (-3581.686) [-3544.880] (-3556.507) (-3568.528) -- 0:14:49
370000 -- (-3568.517) (-3556.845) (-3571.235) [-3553.273] * [-3567.762] (-3568.487) (-3549.774) (-3572.108) -- 0:14:48
Average standard deviation of split frequencies: 0.006575
371000 -- (-3568.097) (-3568.314) (-3562.928) [-3554.918] * (-3564.927) (-3558.235) [-3551.886] (-3552.344) -- 0:14:46
372000 -- (-3577.725) (-3568.590) (-3568.952) [-3558.871] * (-3567.671) (-3561.501) (-3562.506) [-3552.358] -- 0:14:46
373000 -- [-3556.184] (-3570.301) (-3575.193) (-3557.069) * [-3553.734] (-3569.484) (-3576.981) (-3565.004) -- 0:14:44
374000 -- [-3553.682] (-3572.510) (-3566.142) (-3559.078) * (-3560.338) (-3561.459) [-3560.379] (-3567.035) -- 0:14:42
375000 -- (-3571.308) (-3562.042) [-3549.112] (-3565.435) * [-3556.619] (-3578.439) (-3559.407) (-3565.955) -- 0:14:41
Average standard deviation of split frequencies: 0.006695
376000 -- (-3566.515) (-3588.742) [-3549.153] (-3576.482) * (-3572.799) [-3557.253] (-3556.340) (-3570.063) -- 0:14:39
377000 -- (-3556.710) (-3566.692) (-3562.226) [-3557.430] * (-3559.707) (-3562.659) (-3566.908) [-3554.529] -- 0:14:39
378000 -- (-3551.841) [-3558.948] (-3567.982) (-3574.107) * [-3552.066] (-3567.659) (-3564.056) (-3560.199) -- 0:14:37
379000 -- [-3555.324] (-3572.225) (-3567.549) (-3566.957) * (-3559.391) [-3557.045] (-3562.409) (-3572.706) -- 0:14:36
380000 -- (-3567.409) (-3561.417) (-3573.550) [-3553.581] * (-3579.722) (-3561.923) [-3554.374] (-3561.236) -- 0:14:34
Average standard deviation of split frequencies: 0.006719
381000 -- (-3566.449) (-3550.159) (-3576.810) [-3565.604] * (-3574.209) (-3568.048) [-3550.836] (-3564.615) -- 0:14:32
382000 -- (-3562.911) (-3555.613) [-3556.331] (-3570.531) * (-3548.720) (-3561.042) [-3558.252] (-3568.545) -- 0:14:31
383000 -- (-3581.635) [-3544.557] (-3553.676) (-3558.481) * [-3554.853] (-3553.190) (-3561.842) (-3584.571) -- 0:14:29
384000 -- (-3584.283) [-3560.341] (-3551.890) (-3554.520) * (-3554.611) [-3565.189] (-3562.656) (-3570.596) -- 0:14:29
385000 -- (-3568.143) (-3556.567) (-3551.252) [-3551.170] * [-3564.182] (-3578.016) (-3562.772) (-3561.208) -- 0:14:27
Average standard deviation of split frequencies: 0.006860
386000 -- (-3581.036) [-3553.380] (-3553.298) (-3554.357) * (-3562.689) (-3570.656) [-3558.218] (-3580.198) -- 0:14:25
387000 -- [-3562.543] (-3570.057) (-3556.907) (-3563.992) * [-3550.442] (-3562.900) (-3562.779) (-3557.651) -- 0:14:24
388000 -- (-3569.416) (-3562.212) (-3561.995) [-3557.094] * (-3545.281) [-3554.153] (-3561.658) (-3568.168) -- 0:14:22
389000 -- [-3544.211] (-3555.481) (-3563.586) (-3550.620) * (-3555.327) (-3559.659) (-3572.494) [-3554.466] -- 0:14:22
390000 -- [-3551.183] (-3550.957) (-3552.498) (-3565.154) * (-3561.032) (-3571.887) (-3564.144) [-3560.317] -- 0:14:20
Average standard deviation of split frequencies: 0.007009
391000 -- (-3560.508) [-3559.466] (-3560.298) (-3562.689) * (-3561.749) [-3554.699] (-3550.986) (-3575.017) -- 0:14:18
392000 -- [-3566.632] (-3573.834) (-3563.658) (-3553.931) * (-3560.611) (-3556.394) [-3561.243] (-3572.337) -- 0:14:17
393000 -- (-3563.062) (-3564.736) [-3552.387] (-3557.949) * (-3570.662) [-3555.340] (-3564.410) (-3575.955) -- 0:14:15
394000 -- [-3548.253] (-3579.328) (-3570.961) (-3551.091) * (-3566.039) (-3552.760) (-3557.884) [-3546.910] -- 0:14:15
395000 -- (-3551.858) (-3560.559) (-3571.298) [-3550.664] * (-3577.752) (-3556.719) [-3570.041] (-3555.907) -- 0:14:13
Average standard deviation of split frequencies: 0.006991
396000 -- (-3542.093) [-3554.214] (-3562.707) (-3572.207) * (-3571.392) (-3560.579) [-3548.453] (-3556.266) -- 0:14:11
397000 -- [-3561.626] (-3554.287) (-3559.253) (-3558.292) * [-3547.709] (-3567.737) (-3553.322) (-3574.635) -- 0:14:10
398000 -- [-3550.968] (-3546.815) (-3569.377) (-3564.499) * (-3558.418) [-3556.490] (-3563.635) (-3556.868) -- 0:14:08
399000 -- [-3564.086] (-3553.417) (-3585.576) (-3575.408) * (-3561.561) [-3558.266] (-3590.527) (-3547.530) -- 0:14:08
400000 -- (-3556.183) [-3552.041] (-3567.990) (-3563.825) * (-3564.367) (-3574.414) [-3561.909] (-3549.787) -- 0:14:06
Average standard deviation of split frequencies: 0.006884
401000 -- (-3560.701) (-3560.902) (-3572.332) [-3555.053] * (-3578.391) (-3560.251) (-3553.256) [-3554.524] -- 0:14:03
402000 -- (-3557.364) [-3558.261] (-3575.660) (-3556.745) * (-3554.317) [-3560.417] (-3567.640) (-3578.204) -- 0:14:03
403000 -- (-3573.538) (-3580.970) (-3578.584) [-3548.638] * (-3557.737) (-3554.869) [-3565.342] (-3564.850) -- 0:14:01
404000 -- (-3566.031) (-3572.530) [-3550.744] (-3552.512) * [-3554.728] (-3550.113) (-3553.678) (-3559.414) -- 0:13:59
405000 -- (-3576.795) (-3569.604) [-3557.316] (-3557.024) * (-3555.303) (-3573.513) [-3543.594] (-3559.032) -- 0:13:58
Average standard deviation of split frequencies: 0.006695
406000 -- [-3565.045] (-3557.114) (-3555.789) (-3575.440) * (-3562.725) [-3556.950] (-3554.368) (-3566.837) -- 0:13:56
407000 -- (-3558.200) (-3556.259) [-3544.633] (-3557.659) * (-3556.843) (-3555.239) [-3550.137] (-3557.907) -- 0:13:56
408000 -- (-3572.933) (-3567.356) [-3556.014] (-3555.547) * (-3578.631) (-3555.050) (-3560.366) [-3553.120] -- 0:13:54
409000 -- (-3564.231) (-3558.629) [-3553.624] (-3581.518) * [-3550.885] (-3561.980) (-3571.285) (-3550.781) -- 0:13:53
410000 -- (-3559.457) [-3560.655] (-3565.907) (-3566.055) * (-3564.649) (-3557.446) (-3565.418) [-3558.677] -- 0:13:51
Average standard deviation of split frequencies: 0.006505
411000 -- [-3552.578] (-3556.433) (-3580.969) (-3562.046) * (-3574.591) [-3551.219] (-3573.127) (-3559.552) -- 0:13:49
412000 -- (-3568.932) (-3569.355) (-3553.328) [-3553.306] * (-3569.622) [-3539.926] (-3560.152) (-3561.248) -- 0:13:49
413000 -- [-3547.918] (-3557.566) (-3575.660) (-3550.641) * (-3563.960) (-3563.287) (-3564.564) [-3553.322] -- 0:13:47
414000 -- [-3540.512] (-3565.252) (-3558.130) (-3565.226) * (-3582.053) (-3569.940) (-3551.787) [-3553.089] -- 0:13:46
415000 -- (-3558.064) [-3550.616] (-3551.222) (-3561.902) * [-3553.416] (-3564.766) (-3563.213) (-3570.307) -- 0:13:44
Average standard deviation of split frequencies: 0.006327
416000 -- [-3555.289] (-3570.383) (-3568.709) (-3550.321) * [-3548.474] (-3564.321) (-3567.716) (-3573.993) -- 0:13:42
417000 -- (-3546.694) [-3555.616] (-3554.545) (-3571.555) * [-3559.790] (-3569.169) (-3555.497) (-3577.855) -- 0:13:42
418000 -- (-3555.603) [-3557.700] (-3556.773) (-3559.943) * [-3559.675] (-3564.345) (-3545.765) (-3571.080) -- 0:13:40
419000 -- (-3557.371) [-3559.862] (-3567.354) (-3565.359) * (-3560.748) (-3563.446) [-3550.019] (-3558.854) -- 0:13:39
420000 -- [-3558.270] (-3552.827) (-3561.916) (-3569.251) * (-3573.996) (-3569.740) (-3555.559) [-3551.356] -- 0:13:37
Average standard deviation of split frequencies: 0.006366
421000 -- [-3562.264] (-3556.200) (-3561.507) (-3560.321) * (-3556.580) (-3573.372) (-3563.102) [-3545.701] -- 0:13:35
422000 -- (-3556.363) [-3549.756] (-3559.238) (-3556.977) * (-3559.422) (-3571.956) (-3565.738) [-3545.533] -- 0:13:34
423000 -- [-3550.086] (-3557.877) (-3566.521) (-3557.936) * (-3569.620) (-3556.935) [-3554.485] (-3563.855) -- 0:13:32
424000 -- (-3570.389) (-3557.768) (-3570.972) [-3557.932] * (-3553.139) (-3558.817) (-3568.324) [-3562.602] -- 0:13:32
425000 -- (-3560.278) (-3556.341) (-3557.107) [-3550.644] * (-3558.580) (-3561.279) (-3568.627) [-3554.084] -- 0:13:30
Average standard deviation of split frequencies: 0.006878
426000 -- (-3558.159) [-3549.149] (-3565.905) (-3556.575) * (-3562.447) [-3552.440] (-3557.869) (-3561.814) -- 0:13:29
427000 -- [-3559.073] (-3553.516) (-3572.156) (-3572.625) * (-3573.478) [-3554.254] (-3555.165) (-3569.345) -- 0:13:27
428000 -- (-3567.246) [-3546.142] (-3570.667) (-3575.124) * (-3561.837) [-3552.017] (-3559.082) (-3568.992) -- 0:13:25
429000 -- [-3557.772] (-3554.974) (-3563.041) (-3550.492) * (-3549.484) [-3546.623] (-3548.034) (-3574.311) -- 0:13:25
430000 -- (-3564.282) [-3554.625] (-3554.607) (-3573.437) * [-3546.934] (-3556.097) (-3570.391) (-3563.770) -- 0:13:23
Average standard deviation of split frequencies: 0.006836
431000 -- (-3553.180) (-3554.459) (-3555.529) [-3551.171] * (-3570.998) [-3546.899] (-3557.434) (-3562.377) -- 0:13:22
432000 -- (-3549.573) (-3558.962) (-3573.600) [-3547.109] * (-3564.602) (-3555.943) (-3555.955) [-3553.138] -- 0:13:20
433000 -- (-3555.017) (-3548.339) (-3560.756) [-3548.164] * (-3561.585) (-3563.408) (-3560.754) [-3553.859] -- 0:13:20
434000 -- (-3560.561) (-3564.132) (-3567.090) [-3553.112] * [-3551.173] (-3566.537) (-3562.190) (-3568.609) -- 0:13:18
435000 -- [-3555.057] (-3554.947) (-3567.811) (-3561.386) * (-3566.482) (-3568.611) (-3571.541) [-3564.771] -- 0:13:16
Average standard deviation of split frequencies: 0.006352
436000 -- (-3565.570) [-3559.082] (-3562.661) (-3571.036) * [-3557.318] (-3572.864) (-3554.380) (-3554.020) -- 0:13:15
437000 -- (-3555.122) [-3544.534] (-3574.174) (-3571.159) * [-3560.301] (-3565.424) (-3566.689) (-3552.256) -- 0:13:13
438000 -- (-3571.714) (-3562.068) (-3569.369) [-3570.015] * (-3561.055) [-3561.180] (-3567.807) (-3560.037) -- 0:13:12
439000 -- [-3563.552] (-3564.562) (-3553.289) (-3555.210) * [-3553.106] (-3554.372) (-3563.910) (-3560.599) -- 0:13:11
440000 -- (-3563.630) [-3554.764] (-3554.357) (-3556.011) * (-3563.758) [-3567.452] (-3557.616) (-3559.233) -- 0:13:10
Average standard deviation of split frequencies: 0.006350
441000 -- (-3564.445) (-3564.780) [-3557.715] (-3561.098) * (-3549.323) (-3556.205) (-3568.666) [-3562.822] -- 0:13:08
442000 -- (-3569.928) [-3562.745] (-3566.245) (-3563.178) * (-3556.612) (-3573.877) [-3550.508] (-3562.386) -- 0:13:07
443000 -- [-3554.346] (-3565.816) (-3568.007) (-3561.556) * (-3559.426) [-3557.984] (-3562.582) (-3552.976) -- 0:13:05
444000 -- [-3563.544] (-3588.588) (-3560.821) (-3569.542) * (-3574.574) (-3570.586) (-3556.072) [-3547.076] -- 0:13:03
445000 -- (-3571.097) (-3559.056) [-3550.658] (-3570.532) * (-3566.991) (-3571.268) [-3560.862] (-3554.765) -- 0:13:03
Average standard deviation of split frequencies: 0.006428
446000 -- (-3558.665) (-3550.549) [-3551.033] (-3569.603) * [-3553.991] (-3561.879) (-3562.580) (-3550.659) -- 0:13:01
447000 -- (-3556.645) (-3574.237) (-3559.108) [-3555.457] * (-3554.836) [-3556.758] (-3567.317) (-3564.079) -- 0:13:00
448000 -- (-3563.631) (-3557.802) (-3571.937) [-3551.458] * (-3555.411) [-3546.018] (-3558.094) (-3567.743) -- 0:12:58
449000 -- (-3559.441) (-3559.183) (-3571.181) [-3549.129] * [-3547.914] (-3555.840) (-3552.845) (-3565.935) -- 0:12:58
450000 -- [-3559.504] (-3562.590) (-3567.424) (-3564.602) * (-3553.082) (-3547.204) (-3551.407) [-3548.189] -- 0:12:56
Average standard deviation of split frequencies: 0.006450
451000 -- [-3554.537] (-3559.898) (-3585.603) (-3555.617) * (-3571.449) (-3553.727) (-3546.876) [-3550.752] -- 0:12:54
452000 -- (-3563.364) (-3560.727) [-3562.220] (-3561.591) * (-3564.785) (-3556.823) [-3548.958] (-3561.181) -- 0:12:53
453000 -- (-3562.105) (-3567.988) (-3574.156) [-3555.424] * (-3569.248) (-3555.613) [-3560.152] (-3561.468) -- 0:12:51
454000 -- [-3560.577] (-3570.761) (-3569.894) (-3557.431) * (-3572.705) [-3552.938] (-3566.018) (-3566.751) -- 0:12:50
455000 -- [-3563.033] (-3563.140) (-3572.972) (-3565.010) * (-3569.629) [-3553.840] (-3561.987) (-3553.904) -- 0:12:48
Average standard deviation of split frequencies: 0.006665
456000 -- (-3577.027) (-3563.765) (-3560.750) [-3566.065] * [-3554.335] (-3555.374) (-3554.580) (-3572.337) -- 0:12:47
457000 -- (-3562.338) (-3559.484) (-3567.172) [-3556.130] * [-3560.339] (-3566.781) (-3556.056) (-3562.783) -- 0:12:46
458000 -- (-3565.974) [-3559.578] (-3580.226) (-3562.006) * (-3557.424) (-3563.868) [-3547.683] (-3560.606) -- 0:12:44
459000 -- (-3583.955) (-3573.089) (-3580.035) [-3566.583] * (-3569.262) (-3573.214) [-3546.778] (-3560.186) -- 0:12:43
460000 -- [-3554.700] (-3569.696) (-3564.839) (-3567.551) * (-3572.333) (-3575.878) (-3541.301) [-3561.461] -- 0:12:41
Average standard deviation of split frequencies: 0.006358
461000 -- [-3556.648] (-3560.618) (-3563.796) (-3564.697) * (-3576.805) (-3565.480) (-3549.814) [-3555.436] -- 0:12:41
462000 -- (-3564.160) (-3567.961) [-3562.770] (-3553.469) * (-3549.804) (-3556.486) [-3559.128] (-3573.831) -- 0:12:39
463000 -- (-3561.855) (-3559.849) [-3551.713] (-3557.945) * (-3557.484) (-3560.997) [-3550.813] (-3565.102) -- 0:12:37
464000 -- (-3560.519) (-3571.391) [-3555.198] (-3559.833) * (-3570.406) [-3544.270] (-3558.805) (-3559.538) -- 0:12:36
465000 -- [-3551.607] (-3561.555) (-3561.890) (-3572.623) * (-3571.312) (-3565.339) [-3559.436] (-3562.448) -- 0:12:34
Average standard deviation of split frequencies: 0.006048
466000 -- (-3559.707) [-3558.032] (-3570.868) (-3562.779) * (-3566.100) [-3563.341] (-3555.882) (-3566.399) -- 0:12:34
467000 -- [-3550.608] (-3552.815) (-3577.137) (-3553.048) * (-3567.613) (-3569.844) (-3558.859) [-3565.130] -- 0:12:32
468000 -- (-3571.856) [-3557.653] (-3556.945) (-3565.663) * (-3561.299) (-3568.751) (-3550.980) [-3549.986] -- 0:12:30
469000 -- (-3575.936) [-3555.283] (-3558.891) (-3558.887) * (-3553.008) [-3560.007] (-3568.705) (-3557.042) -- 0:12:29
470000 -- (-3564.526) [-3544.323] (-3567.297) (-3563.974) * (-3559.380) (-3569.075) [-3553.359] (-3566.171) -- 0:12:27
Average standard deviation of split frequencies: 0.005882
471000 -- (-3558.129) (-3551.574) (-3559.066) [-3555.311] * [-3553.220] (-3575.332) (-3559.925) (-3571.865) -- 0:12:25
472000 -- (-3559.752) (-3554.453) [-3560.436] (-3565.884) * (-3553.330) [-3549.865] (-3555.899) (-3561.910) -- 0:12:25
473000 -- (-3571.636) (-3554.730) (-3571.541) [-3549.829] * (-3561.143) [-3561.160] (-3547.458) (-3558.011) -- 0:12:23
474000 -- (-3564.156) [-3558.093] (-3561.198) (-3558.566) * [-3552.962] (-3559.598) (-3564.561) (-3570.409) -- 0:12:22
475000 -- [-3556.148] (-3550.218) (-3566.700) (-3570.366) * (-3567.555) (-3572.075) [-3550.226] (-3566.877) -- 0:12:20
Average standard deviation of split frequencies: 0.006195
476000 -- (-3567.302) (-3551.856) [-3559.977] (-3558.319) * (-3546.858) [-3558.038] (-3567.851) (-3564.583) -- 0:12:18
477000 -- (-3562.945) (-3554.560) [-3551.749] (-3569.717) * [-3548.383] (-3580.907) (-3561.484) (-3562.562) -- 0:12:17
478000 -- (-3553.632) (-3551.782) [-3555.148] (-3563.290) * [-3554.945] (-3568.547) (-3568.059) (-3566.412) -- 0:12:16
479000 -- (-3567.441) (-3560.966) (-3556.536) [-3567.848] * [-3570.599] (-3557.217) (-3571.288) (-3561.248) -- 0:12:15
480000 -- (-3573.056) (-3553.585) (-3551.431) [-3560.584] * (-3552.444) [-3547.415] (-3559.050) (-3561.546) -- 0:12:13
Average standard deviation of split frequencies: 0.005759
481000 -- [-3555.732] (-3564.230) (-3567.137) (-3561.099) * (-3549.562) [-3552.166] (-3566.101) (-3561.017) -- 0:12:11
482000 -- (-3565.589) (-3556.475) [-3559.562] (-3566.556) * [-3549.958] (-3561.399) (-3561.299) (-3556.099) -- 0:12:10
483000 -- (-3574.911) (-3574.283) (-3556.017) [-3558.665] * (-3552.572) (-3565.195) (-3564.412) [-3553.976] -- 0:12:08
484000 -- [-3549.343] (-3561.903) (-3563.197) (-3562.380) * (-3574.744) (-3568.736) (-3559.394) [-3559.356] -- 0:12:08
485000 -- (-3564.626) [-3557.731] (-3559.113) (-3570.320) * [-3552.136] (-3562.250) (-3563.937) (-3578.429) -- 0:12:06
Average standard deviation of split frequencies: 0.006088
486000 -- (-3560.630) [-3557.846] (-3557.259) (-3565.893) * [-3550.926] (-3565.679) (-3556.293) (-3578.816) -- 0:12:04
487000 -- (-3561.317) [-3556.375] (-3547.127) (-3563.490) * [-3555.956] (-3564.691) (-3560.438) (-3562.526) -- 0:12:03
488000 -- (-3546.971) (-3553.245) [-3558.440] (-3578.768) * [-3547.680] (-3567.944) (-3556.474) (-3561.720) -- 0:12:01
489000 -- [-3555.581] (-3546.903) (-3548.714) (-3546.720) * (-3556.038) (-3573.104) [-3554.982] (-3562.652) -- 0:12:01
490000 -- [-3556.364] (-3556.173) (-3562.119) (-3582.180) * (-3552.314) [-3560.619] (-3560.105) (-3576.077) -- 0:11:59
Average standard deviation of split frequencies: 0.006051
491000 -- (-3555.205) (-3561.067) [-3556.275] (-3558.114) * (-3554.115) (-3559.472) (-3569.494) [-3552.481] -- 0:11:58
492000 -- (-3568.796) (-3560.458) [-3558.141] (-3551.483) * (-3567.114) [-3565.254] (-3569.397) (-3554.350) -- 0:11:56
493000 -- (-3561.685) [-3556.350] (-3555.394) (-3565.935) * (-3572.866) [-3550.379] (-3566.531) (-3556.418) -- 0:11:55
494000 -- (-3556.616) [-3564.348] (-3552.992) (-3564.623) * [-3556.209] (-3561.816) (-3572.183) (-3565.468) -- 0:11:53
495000 -- (-3562.849) (-3561.103) [-3561.426] (-3559.031) * [-3553.243] (-3559.056) (-3560.437) (-3554.417) -- 0:11:52
Average standard deviation of split frequencies: 0.006066
496000 -- [-3551.415] (-3560.365) (-3562.367) (-3566.238) * (-3566.331) (-3561.415) (-3569.066) [-3556.370] -- 0:11:51
497000 -- [-3545.975] (-3549.494) (-3575.321) (-3555.275) * (-3575.725) (-3560.384) [-3547.368] (-3546.425) -- 0:11:49
498000 -- (-3562.771) (-3555.211) (-3593.873) [-3555.463] * (-3556.716) [-3561.423] (-3566.205) (-3567.907) -- 0:11:48
499000 -- (-3556.007) [-3559.084] (-3561.554) (-3570.897) * (-3579.982) (-3562.902) [-3558.439] (-3568.216) -- 0:11:46
500000 -- (-3556.555) (-3562.829) [-3554.322] (-3562.097) * (-3560.652) (-3579.507) (-3564.193) [-3555.906] -- 0:11:46
Average standard deviation of split frequencies: 0.005810
501000 -- (-3558.344) (-3572.262) [-3556.755] (-3555.108) * (-3561.274) (-3559.520) (-3559.697) [-3555.605] -- 0:11:44
502000 -- (-3556.680) (-3564.115) [-3563.944] (-3562.161) * (-3552.129) (-3558.300) (-3559.151) [-3560.177] -- 0:11:42
503000 -- (-3558.495) (-3570.171) [-3556.601] (-3569.919) * [-3555.292] (-3572.510) (-3552.028) (-3580.987) -- 0:11:41
504000 -- (-3568.355) (-3567.395) (-3577.889) [-3550.287] * (-3571.170) (-3568.923) [-3562.381] (-3566.194) -- 0:11:39
505000 -- [-3567.215] (-3551.171) (-3562.397) (-3557.877) * (-3563.204) (-3563.463) (-3554.571) [-3555.872] -- 0:11:38
Average standard deviation of split frequencies: 0.006343
506000 -- (-3555.077) [-3556.667] (-3557.011) (-3568.679) * [-3558.650] (-3570.373) (-3566.671) (-3562.323) -- 0:11:37
507000 -- (-3564.019) (-3565.572) (-3554.411) [-3563.396] * [-3555.962] (-3553.410) (-3567.113) (-3563.910) -- 0:11:35
508000 -- (-3557.278) (-3559.609) [-3550.939] (-3566.733) * (-3579.460) (-3553.478) (-3580.718) [-3561.795] -- 0:11:34
509000 -- (-3569.362) (-3553.902) (-3584.883) [-3543.846] * (-3564.263) (-3554.108) [-3553.563] (-3560.863) -- 0:11:32
510000 -- (-3576.784) (-3549.908) (-3566.940) [-3541.543] * (-3565.580) (-3557.967) [-3549.285] (-3561.995) -- 0:11:31
Average standard deviation of split frequencies: 0.006305
511000 -- (-3561.992) (-3573.377) (-3569.967) [-3553.785] * (-3568.666) [-3546.325] (-3566.508) (-3560.686) -- 0:11:29
512000 -- (-3575.426) (-3560.398) [-3551.566] (-3556.316) * [-3557.260] (-3548.782) (-3563.155) (-3561.509) -- 0:11:29
513000 -- (-3563.826) (-3582.963) [-3562.423] (-3568.502) * (-3560.033) (-3585.637) [-3544.890] (-3555.043) -- 0:11:27
514000 -- (-3567.983) (-3568.024) (-3564.563) [-3551.060] * [-3569.308] (-3564.707) (-3563.185) (-3567.016) -- 0:11:26
515000 -- (-3557.188) [-3554.346] (-3566.079) (-3584.617) * (-3558.438) (-3572.039) (-3554.948) [-3562.553] -- 0:11:24
Average standard deviation of split frequencies: 0.006065
516000 -- (-3556.310) [-3553.855] (-3566.244) (-3566.237) * (-3551.599) (-3573.880) [-3555.000] (-3571.718) -- 0:11:22
517000 -- (-3556.821) (-3577.953) (-3560.121) [-3550.967] * [-3556.432] (-3570.188) (-3562.698) (-3557.084) -- 0:11:21
518000 -- (-3574.040) [-3558.600] (-3561.589) (-3559.290) * (-3561.293) (-3575.710) [-3551.908] (-3562.962) -- 0:11:20
519000 -- (-3566.572) (-3560.547) (-3570.933) [-3546.111] * [-3546.623] (-3558.614) (-3581.677) (-3575.146) -- 0:11:19
520000 -- (-3552.160) (-3573.733) [-3556.041] (-3557.054) * [-3561.805] (-3562.762) (-3570.444) (-3560.836) -- 0:11:17
Average standard deviation of split frequencies: 0.005972
521000 -- [-3563.464] (-3565.078) (-3555.795) (-3566.257) * (-3559.017) (-3555.575) (-3551.653) [-3552.602] -- 0:11:15
522000 -- (-3554.971) [-3553.441] (-3562.817) (-3571.210) * (-3570.367) (-3573.257) [-3561.576] (-3569.411) -- 0:11:14
523000 -- [-3552.232] (-3564.528) (-3568.912) (-3560.602) * [-3557.875] (-3566.230) (-3565.466) (-3547.218) -- 0:11:13
524000 -- (-3563.132) (-3566.849) (-3579.707) [-3553.122] * (-3558.714) (-3561.939) (-3563.714) [-3565.384] -- 0:11:11
525000 -- (-3576.637) [-3543.844] (-3568.641) (-3544.736) * [-3552.373] (-3558.089) (-3554.494) (-3552.948) -- 0:11:10
Average standard deviation of split frequencies: 0.006235
526000 -- (-3576.275) [-3552.513] (-3555.520) (-3560.308) * [-3557.164] (-3551.928) (-3559.384) (-3561.195) -- 0:11:08
527000 -- (-3568.127) (-3557.489) (-3561.279) [-3548.595] * [-3575.441] (-3567.074) (-3558.633) (-3559.200) -- 0:11:07
528000 -- [-3549.511] (-3553.788) (-3561.863) (-3564.818) * (-3552.537) (-3567.904) (-3552.783) [-3551.396] -- 0:11:05
529000 -- (-3551.893) [-3551.967] (-3565.581) (-3570.005) * (-3560.356) (-3560.311) [-3549.345] (-3561.731) -- 0:11:05
530000 -- (-3559.342) [-3566.555] (-3556.408) (-3562.741) * (-3570.293) [-3553.400] (-3544.571) (-3562.707) -- 0:11:03
Average standard deviation of split frequencies: 0.006388
531000 -- (-3553.433) (-3568.325) (-3559.138) [-3550.373] * (-3557.706) (-3572.555) (-3562.272) [-3553.645] -- 0:11:01
532000 -- [-3554.342] (-3566.544) (-3555.150) (-3562.359) * [-3548.228] (-3575.167) (-3554.445) (-3557.265) -- 0:11:00
533000 -- (-3558.708) (-3557.673) (-3573.635) [-3559.694] * [-3564.650] (-3564.356) (-3574.118) (-3561.723) -- 0:10:58
534000 -- [-3549.023] (-3550.521) (-3564.229) (-3557.457) * (-3571.151) [-3552.873] (-3574.270) (-3564.087) -- 0:10:57
535000 -- (-3569.395) [-3549.822] (-3557.107) (-3567.745) * (-3567.687) (-3557.684) [-3562.929] (-3576.662) -- 0:10:56
Average standard deviation of split frequencies: 0.006549
536000 -- (-3563.889) [-3550.388] (-3551.350) (-3567.243) * [-3564.629] (-3559.371) (-3565.666) (-3558.274) -- 0:10:54
537000 -- [-3563.880] (-3552.676) (-3553.893) (-3565.277) * [-3558.614] (-3557.922) (-3558.974) (-3568.368) -- 0:10:53
538000 -- (-3556.107) (-3574.225) [-3556.965] (-3561.942) * (-3568.859) [-3552.619] (-3563.712) (-3557.654) -- 0:10:51
539000 -- (-3559.547) [-3563.281] (-3553.715) (-3567.588) * (-3547.360) (-3562.067) (-3566.677) [-3545.661] -- 0:10:50
540000 -- (-3568.015) (-3587.003) [-3551.233] (-3556.598) * [-3559.102] (-3555.029) (-3584.035) (-3552.384) -- 0:10:49
Average standard deviation of split frequencies: 0.006177
541000 -- (-3551.858) (-3572.771) [-3544.650] (-3566.672) * (-3568.629) [-3550.880] (-3568.003) (-3563.204) -- 0:10:48
542000 -- (-3556.866) (-3561.955) (-3561.089) [-3566.932] * (-3558.213) [-3550.130] (-3567.604) (-3553.808) -- 0:10:46
543000 -- (-3561.468) (-3563.267) [-3547.700] (-3566.046) * (-3561.829) [-3551.019] (-3558.454) (-3559.077) -- 0:10:44
544000 -- (-3549.582) [-3558.331] (-3549.716) (-3573.888) * [-3550.709] (-3560.672) (-3561.089) (-3565.116) -- 0:10:43
545000 -- [-3551.841] (-3569.642) (-3550.769) (-3564.671) * [-3548.570] (-3573.433) (-3561.161) (-3553.420) -- 0:10:42
Average standard deviation of split frequencies: 0.005936
546000 -- (-3562.856) (-3571.353) (-3568.995) [-3551.991] * (-3549.811) [-3565.027] (-3569.860) (-3564.013) -- 0:10:41
547000 -- (-3572.383) (-3555.329) (-3565.846) [-3550.774] * (-3561.650) (-3547.053) (-3567.464) [-3554.666] -- 0:10:39
548000 -- (-3563.297) [-3552.570] (-3566.677) (-3558.165) * [-3552.105] (-3568.838) (-3549.357) (-3555.712) -- 0:10:38
549000 -- (-3570.294) [-3549.174] (-3563.853) (-3553.918) * (-3554.477) [-3565.733] (-3553.767) (-3564.682) -- 0:10:36
550000 -- (-3555.868) (-3566.352) (-3577.862) [-3553.414] * (-3559.379) [-3557.843] (-3565.362) (-3583.166) -- 0:10:34
Average standard deviation of split frequencies: 0.005592
551000 -- (-3550.380) [-3563.590] (-3578.757) (-3554.539) * (-3562.961) [-3559.414] (-3561.896) (-3580.191) -- 0:10:33
552000 -- (-3549.413) (-3576.026) [-3554.624] (-3549.603) * [-3544.895] (-3569.304) (-3563.168) (-3553.635) -- 0:10:32
553000 -- (-3552.586) [-3552.395] (-3567.316) (-3571.508) * (-3574.847) (-3565.698) [-3556.971] (-3556.425) -- 0:10:31
554000 -- (-3555.769) (-3565.586) [-3556.749] (-3561.125) * (-3561.331) (-3574.227) (-3549.356) [-3553.330] -- 0:10:29
555000 -- (-3559.994) (-3567.903) (-3555.425) [-3545.588] * (-3579.751) [-3564.564] (-3555.551) (-3557.442) -- 0:10:27
Average standard deviation of split frequencies: 0.005628
556000 -- [-3553.571] (-3566.953) (-3573.793) (-3555.621) * (-3561.800) (-3583.741) [-3562.501] (-3559.201) -- 0:10:26
557000 -- [-3554.309] (-3565.479) (-3570.095) (-3560.680) * [-3559.588] (-3572.294) (-3571.742) (-3558.858) -- 0:10:25
558000 -- [-3559.771] (-3565.390) (-3561.165) (-3579.087) * (-3558.077) [-3555.225] (-3563.745) (-3550.363) -- 0:10:24
559000 -- (-3574.281) [-3544.852] (-3566.008) (-3553.713) * [-3549.364] (-3553.748) (-3549.055) (-3566.027) -- 0:10:22
560000 -- (-3564.404) (-3557.846) [-3554.935] (-3556.347) * [-3548.928] (-3552.015) (-3551.838) (-3561.303) -- 0:10:21
Average standard deviation of split frequencies: 0.005868
561000 -- (-3556.056) [-3542.558] (-3561.801) (-3568.304) * (-3560.890) [-3558.074] (-3547.953) (-3554.249) -- 0:10:19
562000 -- [-3552.605] (-3551.523) (-3551.349) (-3554.335) * (-3564.304) (-3559.902) [-3562.205] (-3562.262) -- 0:10:18
563000 -- [-3552.398] (-3561.573) (-3555.894) (-3564.761) * (-3567.292) (-3559.581) [-3552.832] (-3581.252) -- 0:10:17
564000 -- (-3563.705) (-3564.497) (-3555.855) [-3546.361] * (-3559.821) (-3561.104) [-3553.098] (-3562.226) -- 0:10:15
565000 -- [-3575.142] (-3565.623) (-3550.750) (-3562.165) * [-3550.923] (-3569.621) (-3566.625) (-3575.492) -- 0:10:14
Average standard deviation of split frequencies: 0.005954
566000 -- (-3565.556) (-3547.762) (-3570.914) [-3542.826] * (-3562.046) (-3556.545) (-3556.007) [-3563.261] -- 0:10:12
567000 -- [-3552.505] (-3547.002) (-3571.461) (-3564.749) * (-3554.976) (-3557.871) [-3554.775] (-3576.046) -- 0:10:11
568000 -- (-3558.023) (-3565.935) (-3563.340) [-3545.332] * (-3566.113) (-3559.916) [-3555.674] (-3565.479) -- 0:10:09
569000 -- (-3554.128) (-3564.301) (-3551.204) [-3554.443] * [-3559.306] (-3564.662) (-3553.460) (-3549.351) -- 0:10:08
570000 -- [-3556.353] (-3567.340) (-3573.880) (-3564.620) * (-3565.965) (-3566.238) (-3567.614) [-3557.046] -- 0:10:07
Average standard deviation of split frequencies: 0.005765
571000 -- (-3557.644) (-3555.881) (-3571.305) [-3559.210] * (-3563.671) [-3562.127] (-3573.758) (-3559.531) -- 0:10:05
572000 -- [-3565.121] (-3557.382) (-3566.977) (-3564.610) * (-3555.048) [-3560.625] (-3562.292) (-3568.925) -- 0:10:04
573000 -- [-3568.494] (-3547.885) (-3558.917) (-3552.253) * [-3561.782] (-3564.217) (-3570.799) (-3569.899) -- 0:10:02
574000 -- (-3560.025) [-3561.231] (-3561.897) (-3570.122) * (-3562.061) [-3555.570] (-3569.584) (-3560.690) -- 0:10:01
575000 -- (-3564.526) [-3544.939] (-3559.051) (-3567.977) * (-3561.172) (-3562.180) [-3564.489] (-3552.467) -- 0:10:00
Average standard deviation of split frequencies: 0.005903
576000 -- (-3588.028) (-3550.953) [-3558.693] (-3565.299) * [-3557.305] (-3567.615) (-3566.733) (-3559.909) -- 0:09:58
577000 -- (-3563.621) [-3554.538] (-3556.282) (-3580.316) * [-3563.055] (-3560.580) (-3577.555) (-3556.368) -- 0:09:57
578000 -- (-3567.758) (-3552.931) [-3546.305] (-3569.750) * [-3561.938] (-3581.953) (-3558.972) (-3557.357) -- 0:09:55
579000 -- (-3554.094) (-3568.349) (-3568.160) [-3546.117] * (-3562.068) [-3566.747] (-3570.111) (-3551.788) -- 0:09:54
580000 -- (-3567.878) (-3569.726) (-3570.864) [-3559.768] * (-3565.462) (-3565.483) [-3547.748] (-3558.651) -- 0:09:53
Average standard deviation of split frequencies: 0.005752
581000 -- (-3572.590) [-3564.125] (-3569.611) (-3554.373) * [-3545.325] (-3566.476) (-3550.471) (-3560.666) -- 0:09:51
582000 -- [-3564.174] (-3555.210) (-3570.439) (-3565.360) * (-3563.767) (-3571.986) [-3558.290] (-3555.485) -- 0:09:50
583000 -- (-3563.103) (-3569.910) [-3555.860] (-3561.345) * [-3547.046] (-3582.078) (-3549.844) (-3577.753) -- 0:09:48
584000 -- [-3562.081] (-3563.445) (-3553.631) (-3564.657) * (-3574.166) (-3564.363) (-3552.286) [-3549.676] -- 0:09:46
585000 -- (-3567.247) (-3562.139) [-3552.763] (-3565.649) * (-3563.579) [-3556.610] (-3567.426) (-3560.445) -- 0:09:45
Average standard deviation of split frequencies: 0.005648
586000 -- (-3563.517) (-3567.257) (-3558.896) [-3558.327] * (-3561.909) (-3549.443) [-3560.792] (-3558.060) -- 0:09:44
587000 -- (-3565.239) [-3561.414] (-3565.042) (-3567.282) * [-3554.499] (-3556.078) (-3567.883) (-3553.310) -- 0:09:42
588000 -- (-3557.382) (-3563.879) [-3549.603] (-3565.867) * (-3547.640) [-3553.359] (-3555.381) (-3553.840) -- 0:09:41
589000 -- (-3563.184) (-3554.364) [-3545.349] (-3560.694) * (-3566.619) (-3561.007) (-3568.178) [-3551.461] -- 0:09:39
590000 -- (-3560.108) [-3553.915] (-3552.103) (-3566.790) * (-3561.104) (-3565.176) (-3554.570) [-3552.993] -- 0:09:38
Average standard deviation of split frequencies: 0.005570
591000 -- (-3555.430) [-3556.918] (-3569.292) (-3574.079) * (-3566.575) [-3554.086] (-3565.223) (-3559.070) -- 0:09:37
592000 -- (-3549.975) [-3558.900] (-3557.406) (-3574.396) * (-3559.544) [-3547.365] (-3561.843) (-3556.185) -- 0:09:35
593000 -- (-3557.344) (-3565.579) [-3570.448] (-3566.718) * [-3558.051] (-3566.921) (-3569.168) (-3563.700) -- 0:09:34
594000 -- [-3545.954] (-3556.833) (-3552.590) (-3560.362) * [-3544.060] (-3565.769) (-3559.476) (-3571.898) -- 0:09:32
595000 -- (-3554.804) [-3559.545] (-3556.760) (-3566.066) * [-3562.906] (-3573.960) (-3555.012) (-3552.164) -- 0:09:31
Average standard deviation of split frequencies: 0.005200
596000 -- (-3563.469) [-3557.977] (-3547.112) (-3564.861) * (-3551.144) [-3552.290] (-3543.763) (-3573.927) -- 0:09:30
597000 -- (-3579.534) (-3565.609) [-3550.297] (-3548.744) * (-3572.863) (-3580.140) [-3549.467] (-3556.408) -- 0:09:29
598000 -- (-3573.719) (-3547.318) [-3565.964] (-3565.963) * (-3569.501) (-3561.925) (-3554.170) [-3545.722] -- 0:09:27
599000 -- (-3558.692) [-3546.068] (-3548.517) (-3567.700) * (-3566.032) (-3560.960) [-3544.929] (-3567.010) -- 0:09:25
600000 -- (-3551.558) [-3554.386] (-3558.113) (-3563.924) * (-3561.089) [-3552.004] (-3556.132) (-3567.191) -- 0:09:24
Average standard deviation of split frequencies: 0.004976
601000 -- (-3565.313) (-3543.387) [-3548.232] (-3554.623) * (-3568.998) (-3557.399) (-3560.671) [-3557.362] -- 0:09:22
602000 -- (-3558.064) (-3569.634) (-3558.012) [-3563.619] * (-3579.254) (-3561.584) [-3560.036] (-3558.973) -- 0:09:21
603000 -- (-3564.784) (-3568.071) (-3570.983) [-3563.693] * (-3572.289) (-3549.413) [-3559.139] (-3571.926) -- 0:09:20
604000 -- [-3557.188] (-3559.107) (-3556.824) (-3556.263) * (-3559.195) (-3566.561) [-3554.319] (-3574.006) -- 0:09:18
605000 -- (-3572.624) (-3559.142) [-3553.101] (-3555.966) * [-3553.243] (-3565.778) (-3565.322) (-3567.166) -- 0:09:17
Average standard deviation of split frequencies: 0.005197
606000 -- (-3563.088) [-3555.745] (-3581.610) (-3563.302) * (-3551.252) (-3555.082) [-3553.643] (-3568.510) -- 0:09:15
607000 -- (-3567.183) [-3564.995] (-3576.144) (-3567.046) * [-3553.673] (-3566.569) (-3556.981) (-3575.273) -- 0:09:14
608000 -- (-3557.981) (-3569.800) [-3554.914] (-3564.851) * (-3556.309) (-3555.449) (-3562.589) [-3558.920] -- 0:09:13
609000 -- (-3554.766) [-3552.123] (-3584.953) (-3578.416) * [-3544.677] (-3558.511) (-3575.627) (-3562.084) -- 0:09:12
610000 -- (-3558.759) [-3554.435] (-3585.806) (-3560.106) * (-3566.253) (-3567.047) [-3552.219] (-3555.716) -- 0:09:10
Average standard deviation of split frequencies: 0.004977
611000 -- (-3559.584) (-3558.216) [-3558.698] (-3561.267) * (-3556.934) (-3562.411) [-3548.800] (-3567.632) -- 0:09:08
612000 -- (-3574.905) [-3553.189] (-3560.524) (-3558.818) * (-3550.564) (-3557.452) (-3548.408) [-3557.218] -- 0:09:07
613000 -- (-3564.405) (-3567.092) (-3558.618) [-3563.713] * (-3551.611) (-3554.419) (-3561.058) [-3558.267] -- 0:09:06
614000 -- [-3550.488] (-3563.713) (-3560.784) (-3566.487) * [-3550.961] (-3577.724) (-3560.363) (-3575.211) -- 0:09:05
615000 -- [-3555.982] (-3560.365) (-3569.738) (-3550.927) * (-3561.951) (-3572.994) (-3562.079) [-3559.308] -- 0:09:03
Average standard deviation of split frequencies: 0.005015
616000 -- (-3566.393) (-3558.820) (-3566.551) [-3556.205] * (-3565.070) (-3560.463) [-3545.274] (-3564.031) -- 0:09:01
617000 -- (-3571.066) (-3564.247) (-3571.185) [-3558.943] * (-3569.708) [-3559.220] (-3563.295) (-3559.370) -- 0:09:00
618000 -- (-3555.683) (-3562.599) [-3558.434] (-3558.014) * (-3573.332) [-3561.440] (-3575.931) (-3565.384) -- 0:08:59
619000 -- (-3566.987) (-3572.855) [-3558.292] (-3560.861) * (-3568.269) (-3548.688) (-3577.642) [-3556.978] -- 0:08:57
620000 -- [-3556.505] (-3555.227) (-3570.640) (-3564.075) * (-3551.393) (-3568.017) (-3568.430) [-3556.886] -- 0:08:56
Average standard deviation of split frequencies: 0.004606
621000 -- (-3571.444) (-3553.137) (-3558.828) [-3557.340] * [-3547.246] (-3567.970) (-3570.098) (-3550.400) -- 0:08:55
622000 -- (-3553.515) (-3556.876) [-3542.478] (-3560.145) * (-3565.619) (-3555.241) (-3567.326) [-3548.999] -- 0:08:53
623000 -- [-3550.153] (-3551.979) (-3544.743) (-3566.881) * [-3552.166] (-3577.148) (-3564.050) (-3573.884) -- 0:08:51
624000 -- (-3556.455) (-3577.130) [-3554.133] (-3556.899) * (-3551.693) (-3563.723) [-3555.008] (-3571.299) -- 0:08:50
625000 -- (-3554.282) (-3569.492) (-3556.432) [-3574.141] * [-3557.953] (-3584.145) (-3568.591) (-3557.408) -- 0:08:49
Average standard deviation of split frequencies: 0.004406
626000 -- (-3557.308) (-3551.664) [-3553.443] (-3563.620) * [-3556.100] (-3571.794) (-3553.907) (-3555.731) -- 0:08:48
627000 -- (-3561.386) (-3567.624) [-3555.656] (-3576.618) * (-3550.584) (-3569.400) (-3556.075) [-3547.659] -- 0:08:46
628000 -- (-3573.936) (-3560.362) [-3555.588] (-3558.054) * [-3558.243] (-3570.206) (-3563.289) (-3560.534) -- 0:08:45
629000 -- (-3565.487) (-3570.952) [-3554.704] (-3561.585) * [-3544.492] (-3555.953) (-3567.114) (-3555.772) -- 0:08:43
630000 -- (-3559.714) (-3573.776) (-3575.470) [-3561.380] * (-3561.666) [-3557.823] (-3567.090) (-3558.030) -- 0:08:42
Average standard deviation of split frequencies: 0.004183
631000 -- (-3564.667) (-3559.682) (-3559.954) [-3548.427] * (-3562.126) [-3560.025] (-3564.411) (-3570.395) -- 0:08:41
632000 -- [-3553.179] (-3573.098) (-3569.912) (-3557.898) * (-3561.820) (-3566.657) (-3557.822) [-3556.576] -- 0:08:39
633000 -- (-3564.196) [-3561.867] (-3573.335) (-3570.234) * (-3572.308) [-3549.789] (-3566.455) (-3555.880) -- 0:08:38
634000 -- (-3560.813) (-3567.678) [-3555.303] (-3559.290) * [-3553.249] (-3559.756) (-3555.687) (-3555.395) -- 0:08:36
635000 -- (-3562.353) (-3558.709) [-3561.575] (-3560.275) * (-3558.289) (-3555.282) (-3550.848) [-3545.658] -- 0:08:35
Average standard deviation of split frequencies: 0.004400
636000 -- (-3560.677) [-3558.811] (-3561.604) (-3564.515) * (-3559.023) (-3553.331) [-3552.748] (-3569.273) -- 0:08:33
637000 -- (-3561.668) (-3568.839) (-3567.801) [-3550.335] * (-3554.123) (-3556.006) (-3560.858) [-3550.125] -- 0:08:32
638000 -- [-3551.587] (-3563.123) (-3571.227) (-3549.725) * [-3566.886] (-3575.337) (-3568.416) (-3550.743) -- 0:08:31
639000 -- (-3556.980) (-3547.617) (-3563.786) [-3570.754] * (-3557.113) (-3563.901) [-3552.527] (-3562.160) -- 0:08:29
640000 -- (-3567.635) [-3551.305] (-3567.656) (-3558.813) * (-3556.094) [-3558.210] (-3565.185) (-3556.291) -- 0:08:27
Average standard deviation of split frequencies: 0.004415
641000 -- (-3566.336) [-3551.712] (-3567.016) (-3563.340) * [-3548.681] (-3565.203) (-3562.904) (-3555.301) -- 0:08:26
642000 -- (-3555.361) [-3550.607] (-3566.428) (-3562.715) * (-3562.394) [-3542.789] (-3560.994) (-3575.193) -- 0:08:25
643000 -- (-3560.301) (-3563.632) (-3559.832) [-3559.250] * (-3557.734) [-3551.550] (-3579.043) (-3567.716) -- 0:08:24
644000 -- [-3554.262] (-3552.047) (-3562.084) (-3568.590) * (-3561.763) [-3551.573] (-3563.269) (-3580.897) -- 0:08:22
645000 -- (-3572.516) [-3554.535] (-3570.524) (-3562.416) * (-3553.288) [-3557.271] (-3561.850) (-3560.826) -- 0:08:20
Average standard deviation of split frequencies: 0.004409
646000 -- (-3569.431) (-3576.248) [-3571.138] (-3561.392) * [-3563.120] (-3571.624) (-3546.839) (-3566.148) -- 0:08:19
647000 -- [-3559.153] (-3565.252) (-3561.191) (-3555.399) * [-3559.008] (-3555.350) (-3554.180) (-3581.106) -- 0:08:18
648000 -- [-3558.030] (-3550.021) (-3577.295) (-3548.077) * (-3552.182) (-3575.825) [-3559.008] (-3566.160) -- 0:08:17
649000 -- (-3562.894) (-3553.095) (-3570.342) [-3549.539] * (-3557.737) [-3565.290] (-3561.772) (-3570.775) -- 0:08:15
650000 -- [-3560.425] (-3558.811) (-3568.088) (-3559.502) * (-3566.417) [-3553.743] (-3558.685) (-3574.015) -- 0:08:13
Average standard deviation of split frequencies: 0.004486
651000 -- [-3556.865] (-3557.944) (-3554.082) (-3557.707) * (-3563.904) [-3560.919] (-3554.048) (-3573.251) -- 0:08:12
652000 -- [-3552.936] (-3578.978) (-3577.931) (-3568.961) * (-3560.312) (-3562.325) (-3566.503) [-3560.539] -- 0:08:11
653000 -- (-3571.394) (-3566.586) (-3567.797) [-3556.164] * (-3555.095) [-3565.033] (-3556.044) (-3571.144) -- 0:08:09
654000 -- (-3574.965) (-3562.796) [-3555.114] (-3553.140) * [-3551.756] (-3577.849) (-3561.462) (-3557.104) -- 0:08:08
655000 -- (-3557.631) [-3564.451] (-3550.516) (-3566.445) * (-3563.849) (-3564.221) (-3570.582) [-3562.627] -- 0:08:07
Average standard deviation of split frequencies: 0.004617
656000 -- [-3566.148] (-3567.520) (-3564.652) (-3579.139) * [-3558.696] (-3569.006) (-3564.117) (-3557.750) -- 0:08:05
657000 -- (-3570.651) [-3554.607] (-3549.498) (-3565.534) * (-3554.004) (-3557.034) [-3553.843] (-3551.768) -- 0:08:03
658000 -- (-3562.328) (-3553.256) [-3548.273] (-3566.441) * [-3557.627] (-3558.094) (-3569.494) (-3566.622) -- 0:08:02
659000 -- (-3590.187) (-3561.149) [-3553.945] (-3566.082) * (-3571.689) (-3551.938) (-3558.913) [-3553.418] -- 0:08:01
660000 -- (-3574.593) (-3565.475) [-3537.801] (-3563.867) * (-3571.696) (-3562.785) (-3557.968) [-3564.782] -- 0:08:00
Average standard deviation of split frequencies: 0.004917
661000 -- (-3560.818) (-3560.332) (-3561.156) [-3561.841] * (-3554.623) [-3558.831] (-3558.617) (-3561.437) -- 0:07:58
662000 -- (-3564.404) [-3547.854] (-3571.374) (-3553.631) * (-3560.163) [-3555.276] (-3551.423) (-3563.315) -- 0:07:56
663000 -- [-3558.007] (-3567.802) (-3570.646) (-3556.223) * (-3575.643) [-3557.278] (-3558.616) (-3556.254) -- 0:07:55
664000 -- (-3555.580) [-3562.942] (-3572.302) (-3564.885) * (-3560.957) [-3553.488] (-3566.886) (-3552.871) -- 0:07:54
665000 -- [-3550.010] (-3548.691) (-3568.773) (-3560.160) * (-3551.527) (-3567.939) [-3556.911] (-3563.829) -- 0:07:53
Average standard deviation of split frequencies: 0.004970
666000 -- (-3552.667) (-3568.649) (-3564.785) [-3555.277] * (-3550.913) (-3552.096) [-3562.323] (-3571.014) -- 0:07:51
667000 -- (-3564.530) [-3558.328] (-3560.605) (-3563.693) * [-3551.053] (-3552.041) (-3573.367) (-3570.302) -- 0:07:50
668000 -- (-3552.312) (-3560.802) (-3569.191) [-3561.773] * (-3567.080) [-3568.381] (-3571.727) (-3578.338) -- 0:07:48
669000 -- [-3558.986] (-3569.346) (-3555.980) (-3578.023) * (-3564.096) (-3566.668) (-3569.000) [-3551.670] -- 0:07:47
670000 -- (-3557.514) (-3578.308) (-3556.858) [-3558.539] * (-3573.096) [-3550.097] (-3567.733) (-3580.271) -- 0:07:45
Average standard deviation of split frequencies: 0.004752
671000 -- (-3580.173) (-3563.637) (-3559.983) [-3553.958] * (-3563.125) (-3554.120) (-3567.744) [-3560.761] -- 0:07:44
672000 -- (-3558.551) (-3571.124) (-3554.846) [-3557.624] * (-3549.783) (-3568.118) (-3563.707) [-3549.767] -- 0:07:43
673000 -- (-3557.165) [-3558.216] (-3548.769) (-3558.364) * [-3550.458] (-3564.260) (-3564.089) (-3577.513) -- 0:07:41
674000 -- (-3560.854) (-3563.726) (-3545.320) [-3557.147] * [-3565.310] (-3552.285) (-3560.920) (-3562.573) -- 0:07:40
675000 -- (-3555.253) (-3560.332) [-3545.402] (-3575.085) * (-3560.213) (-3555.423) [-3553.738] (-3569.409) -- 0:07:38
Average standard deviation of split frequencies: 0.005018
676000 -- (-3551.545) [-3548.071] (-3561.420) (-3572.385) * (-3566.441) [-3548.367] (-3551.330) (-3558.033) -- 0:07:37
677000 -- [-3546.759] (-3551.635) (-3566.324) (-3559.658) * (-3566.210) (-3571.731) (-3563.942) [-3555.241] -- 0:07:36
678000 -- (-3567.966) (-3565.040) [-3560.411] (-3562.094) * (-3573.766) (-3565.927) (-3562.553) [-3557.429] -- 0:07:34
679000 -- [-3548.492] (-3555.340) (-3570.823) (-3570.152) * (-3557.863) [-3569.418] (-3556.251) (-3562.635) -- 0:07:33
680000 -- (-3551.458) (-3560.252) [-3554.804] (-3574.537) * (-3547.026) (-3563.170) [-3553.832] (-3556.610) -- 0:07:31
Average standard deviation of split frequencies: 0.004983
681000 -- [-3558.012] (-3567.867) (-3563.994) (-3558.120) * (-3545.090) [-3562.347] (-3560.034) (-3561.243) -- 0:07:30
682000 -- (-3557.151) (-3558.903) [-3559.486] (-3554.273) * [-3546.111] (-3560.709) (-3551.447) (-3565.678) -- 0:07:29
683000 -- [-3554.732] (-3560.740) (-3559.184) (-3560.582) * [-3550.824] (-3569.555) (-3566.106) (-3560.273) -- 0:07:27
684000 -- (-3555.862) (-3574.210) (-3572.456) [-3558.343] * (-3554.121) (-3556.594) [-3556.810] (-3551.513) -- 0:07:26
685000 -- [-3547.667] (-3562.036) (-3571.564) (-3568.366) * (-3562.114) (-3572.617) (-3559.088) [-3559.200] -- 0:07:24
Average standard deviation of split frequencies: 0.004913
686000 -- (-3557.785) (-3568.430) (-3565.016) [-3555.772] * [-3563.918] (-3550.720) (-3564.482) (-3566.200) -- 0:07:23
687000 -- (-3555.983) (-3551.837) [-3552.214] (-3559.383) * (-3566.080) [-3556.973] (-3562.311) (-3564.651) -- 0:07:21
688000 -- (-3549.551) (-3565.356) [-3543.969] (-3584.165) * (-3569.878) [-3550.708] (-3569.462) (-3560.627) -- 0:07:20
689000 -- (-3567.438) (-3558.294) (-3554.603) [-3555.914] * (-3566.489) [-3551.339] (-3566.304) (-3573.096) -- 0:07:19
690000 -- (-3563.654) (-3577.292) [-3551.743] (-3564.791) * (-3559.190) (-3559.132) [-3555.809] (-3553.982) -- 0:07:17
Average standard deviation of split frequencies: 0.004763
691000 -- (-3585.761) [-3547.998] (-3566.602) (-3566.254) * (-3561.169) (-3540.973) (-3568.362) [-3549.875] -- 0:07:16
692000 -- (-3558.110) [-3558.611] (-3566.917) (-3567.110) * (-3573.828) (-3545.467) (-3561.691) [-3553.989] -- 0:07:14
693000 -- (-3575.618) (-3561.223) [-3556.364] (-3564.313) * (-3569.547) (-3554.684) (-3578.891) [-3549.580] -- 0:07:13
694000 -- (-3558.905) [-3553.408] (-3546.980) (-3581.203) * (-3562.345) (-3564.529) (-3556.527) [-3554.914] -- 0:07:12
695000 -- (-3567.752) (-3540.670) [-3558.584] (-3572.187) * (-3559.987) [-3555.164] (-3581.120) (-3564.132) -- 0:07:10
Average standard deviation of split frequencies: 0.004918
696000 -- (-3559.656) [-3552.244] (-3561.987) (-3554.691) * (-3562.431) [-3553.617] (-3551.855) (-3557.223) -- 0:07:09
697000 -- (-3567.274) (-3579.710) [-3546.221] (-3573.281) * (-3593.115) (-3559.380) [-3551.035] (-3546.788) -- 0:07:07
698000 -- [-3555.029] (-3548.535) (-3564.399) (-3559.285) * (-3581.694) (-3569.139) (-3559.242) [-3555.813] -- 0:07:06
699000 -- (-3555.711) [-3551.644] (-3565.818) (-3555.644) * (-3571.216) (-3564.968) (-3562.640) [-3554.104] -- 0:07:05
700000 -- (-3554.558) (-3562.792) (-3582.953) [-3560.641] * (-3559.429) (-3564.033) [-3550.438] (-3566.652) -- 0:07:03
Average standard deviation of split frequencies: 0.004695
701000 -- (-3557.220) [-3557.198] (-3563.747) (-3567.547) * (-3563.150) [-3562.795] (-3559.852) (-3578.484) -- 0:07:02
702000 -- (-3558.995) (-3550.464) (-3551.379) [-3561.357] * (-3569.275) (-3570.457) (-3559.836) [-3552.678] -- 0:07:00
703000 -- (-3565.147) (-3558.151) (-3570.040) [-3558.385] * (-3560.312) (-3555.260) (-3548.716) [-3559.010] -- 0:06:59
704000 -- (-3584.146) (-3552.357) [-3560.585] (-3565.662) * [-3551.564] (-3565.147) (-3566.636) (-3570.055) -- 0:06:57
705000 -- (-3555.792) [-3559.550] (-3561.106) (-3559.361) * (-3558.851) [-3552.368] (-3559.838) (-3562.979) -- 0:06:56
Average standard deviation of split frequencies: 0.004731
706000 -- [-3557.903] (-3564.678) (-3566.066) (-3560.912) * [-3553.130] (-3564.750) (-3560.631) (-3560.294) -- 0:06:55
707000 -- (-3559.263) (-3572.809) [-3563.114] (-3567.918) * (-3551.483) [-3552.751] (-3574.259) (-3560.293) -- 0:06:53
708000 -- (-3572.134) [-3551.928] (-3564.783) (-3566.115) * (-3556.662) (-3565.607) (-3562.245) [-3552.946] -- 0:06:52
709000 -- (-3567.130) (-3563.947) [-3541.013] (-3558.021) * [-3551.776] (-3556.962) (-3555.984) (-3554.116) -- 0:06:50
710000 -- [-3557.326] (-3573.491) (-3548.443) (-3563.879) * (-3548.584) (-3564.514) [-3558.394] (-3563.522) -- 0:06:49
Average standard deviation of split frequencies: 0.004773
711000 -- (-3553.650) [-3560.864] (-3568.501) (-3570.697) * (-3552.059) (-3552.605) (-3569.470) [-3556.547] -- 0:06:48
712000 -- [-3567.262] (-3560.884) (-3566.890) (-3568.902) * (-3567.751) (-3556.573) [-3556.378] (-3565.283) -- 0:06:46
713000 -- (-3549.285) (-3560.367) [-3562.565] (-3548.531) * (-3583.385) (-3561.489) [-3551.855] (-3561.546) -- 0:06:45
714000 -- (-3559.158) (-3558.527) [-3549.393] (-3565.898) * (-3583.530) (-3549.961) [-3554.972] (-3574.443) -- 0:06:43
715000 -- (-3555.920) (-3550.729) (-3564.645) [-3555.931] * (-3555.944) [-3555.266] (-3560.863) (-3566.187) -- 0:06:42
Average standard deviation of split frequencies: 0.004652
716000 -- (-3561.331) [-3549.234] (-3574.686) (-3558.077) * (-3555.372) [-3558.420] (-3571.825) (-3580.637) -- 0:06:41
717000 -- (-3563.945) [-3557.534] (-3573.424) (-3563.033) * (-3564.036) (-3563.238) [-3550.180] (-3561.914) -- 0:06:39
718000 -- [-3555.787] (-3563.912) (-3560.578) (-3570.680) * (-3549.131) (-3558.188) [-3560.495] (-3556.522) -- 0:06:37
719000 -- (-3565.529) (-3564.155) [-3549.608] (-3555.778) * [-3546.763] (-3563.132) (-3564.660) (-3553.938) -- 0:06:36
720000 -- (-3564.833) [-3554.531] (-3552.805) (-3558.377) * (-3551.760) [-3557.846] (-3561.696) (-3552.541) -- 0:06:35
Average standard deviation of split frequencies: 0.004636
721000 -- [-3552.869] (-3571.143) (-3575.952) (-3557.657) * (-3569.932) (-3553.086) [-3561.522] (-3560.684) -- 0:06:33
722000 -- (-3558.953) (-3568.613) [-3561.284] (-3561.351) * (-3569.284) (-3563.312) (-3564.852) [-3560.068] -- 0:06:32
723000 -- (-3567.272) (-3545.667) [-3561.085] (-3556.983) * [-3563.205] (-3565.568) (-3566.394) (-3561.352) -- 0:06:31
724000 -- (-3557.407) [-3552.855] (-3562.078) (-3561.772) * (-3569.579) (-3556.403) [-3549.895] (-3552.762) -- 0:06:29
725000 -- (-3578.882) (-3562.046) (-3566.895) [-3552.896] * (-3558.841) [-3562.658] (-3563.862) (-3559.542) -- 0:06:28
Average standard deviation of split frequencies: 0.004489
726000 -- (-3565.985) [-3550.545] (-3563.863) (-3582.021) * (-3573.817) (-3566.045) [-3544.689] (-3547.821) -- 0:06:26
727000 -- (-3558.594) (-3564.057) (-3568.693) [-3558.957] * (-3565.573) [-3553.096] (-3553.517) (-3567.219) -- 0:06:25
728000 -- (-3550.941) [-3554.329] (-3592.344) (-3554.836) * (-3555.798) [-3555.876] (-3567.236) (-3560.638) -- 0:06:24
729000 -- [-3554.101] (-3553.401) (-3558.023) (-3565.124) * [-3550.570] (-3561.040) (-3557.556) (-3569.220) -- 0:06:22
730000 -- (-3562.213) (-3572.044) [-3545.703] (-3573.528) * (-3547.003) (-3558.338) [-3554.231] (-3571.959) -- 0:06:21
Average standard deviation of split frequencies: 0.004278
731000 -- (-3555.828) (-3568.802) [-3555.083] (-3565.847) * (-3560.622) (-3553.867) [-3553.040] (-3569.782) -- 0:06:19
732000 -- (-3561.350) [-3551.688] (-3562.335) (-3561.783) * (-3569.840) (-3564.581) (-3549.324) [-3553.673] -- 0:06:18
733000 -- [-3551.258] (-3550.237) (-3570.156) (-3562.039) * [-3552.337] (-3545.354) (-3563.346) (-3569.932) -- 0:06:17
734000 -- (-3558.850) [-3552.778] (-3571.578) (-3569.130) * [-3559.103] (-3549.377) (-3563.223) (-3553.478) -- 0:06:15
735000 -- [-3562.921] (-3554.109) (-3586.767) (-3559.513) * (-3564.648) [-3554.283] (-3563.548) (-3562.221) -- 0:06:14
Average standard deviation of split frequencies: 0.004442
736000 -- (-3563.809) (-3570.202) (-3560.596) [-3552.199] * (-3564.598) (-3562.967) (-3554.896) [-3549.520] -- 0:06:12
737000 -- (-3554.519) [-3556.872] (-3568.866) (-3563.668) * [-3554.995] (-3556.449) (-3572.183) (-3555.773) -- 0:06:11
738000 -- (-3581.928) (-3565.288) (-3574.111) [-3560.458] * (-3565.084) (-3579.280) [-3556.915] (-3563.328) -- 0:06:09
739000 -- (-3576.987) (-3555.334) [-3564.761] (-3574.908) * (-3565.052) (-3560.905) [-3560.965] (-3562.297) -- 0:06:08
740000 -- (-3573.754) (-3558.933) [-3556.413] (-3570.194) * (-3572.016) (-3557.650) [-3565.729] (-3563.607) -- 0:06:07
Average standard deviation of split frequencies: 0.004275
741000 -- (-3577.974) (-3565.120) (-3559.594) [-3554.731] * (-3559.229) (-3568.694) (-3567.074) [-3561.988] -- 0:06:05
742000 -- (-3565.967) (-3564.587) [-3556.648] (-3556.396) * [-3562.922] (-3572.134) (-3571.405) (-3560.521) -- 0:06:04
743000 -- (-3551.834) [-3552.142] (-3559.712) (-3572.681) * (-3549.114) [-3550.456] (-3566.818) (-3566.257) -- 0:06:02
744000 -- (-3563.313) (-3557.682) [-3546.451] (-3557.937) * (-3558.595) [-3551.736] (-3577.879) (-3566.940) -- 0:06:01
745000 -- (-3559.044) (-3568.472) [-3554.984] (-3559.676) * (-3572.393) (-3562.284) (-3560.268) [-3565.875] -- 0:06:00
Average standard deviation of split frequencies: 0.004423
746000 -- [-3553.290] (-3564.395) (-3551.694) (-3553.100) * (-3570.585) [-3549.585] (-3571.015) (-3562.029) -- 0:05:58
747000 -- (-3594.755) (-3564.205) [-3553.963] (-3559.623) * (-3565.666) (-3558.725) (-3570.559) [-3560.359] -- 0:05:57
748000 -- (-3573.378) (-3561.556) (-3548.392) [-3557.557] * (-3558.504) (-3560.635) [-3556.893] (-3566.253) -- 0:05:55
749000 -- [-3550.578] (-3587.434) (-3558.160) (-3563.252) * (-3563.802) (-3573.341) [-3551.987] (-3558.274) -- 0:05:54
750000 -- (-3557.661) (-3580.287) [-3555.850] (-3565.445) * (-3555.096) (-3576.873) [-3569.861] (-3570.248) -- 0:05:53
Average standard deviation of split frequencies: 0.004082
751000 -- (-3552.912) [-3557.935] (-3555.927) (-3572.589) * (-3551.884) (-3563.980) (-3566.701) [-3566.429] -- 0:05:51
752000 -- (-3555.639) (-3576.329) [-3559.140] (-3566.175) * (-3564.715) [-3546.576] (-3552.981) (-3562.458) -- 0:05:50
753000 -- (-3560.692) (-3568.406) [-3548.089] (-3574.369) * (-3557.041) [-3548.612] (-3578.424) (-3574.757) -- 0:05:48
754000 -- (-3555.982) (-3567.591) (-3564.450) [-3553.970] * (-3565.716) [-3550.969] (-3567.346) (-3561.833) -- 0:05:47
755000 -- [-3557.152] (-3569.521) (-3556.934) (-3566.078) * (-3550.838) (-3577.633) (-3593.772) [-3552.069] -- 0:05:45
Average standard deviation of split frequencies: 0.004121
756000 -- (-3569.110) (-3576.062) (-3561.612) [-3567.830] * (-3566.118) (-3563.387) [-3562.304] (-3554.975) -- 0:05:44
757000 -- (-3562.434) (-3575.331) [-3551.471] (-3556.617) * (-3561.790) [-3555.360] (-3563.926) (-3569.322) -- 0:05:43
758000 -- (-3568.065) (-3571.153) (-3547.726) [-3560.692] * (-3563.966) (-3587.076) [-3549.627] (-3562.325) -- 0:05:41
759000 -- (-3569.498) (-3568.375) [-3556.689] (-3562.429) * (-3574.809) [-3566.117] (-3555.949) (-3566.060) -- 0:05:40
760000 -- [-3566.782] (-3575.884) (-3553.511) (-3561.577) * (-3561.660) [-3555.277] (-3563.241) (-3555.116) -- 0:05:38
Average standard deviation of split frequencies: 0.004042
761000 -- (-3574.444) (-3559.533) (-3553.770) [-3559.420] * (-3550.803) [-3565.068] (-3550.899) (-3562.819) -- 0:05:37
762000 -- [-3552.074] (-3576.543) (-3561.507) (-3573.967) * [-3557.053] (-3554.964) (-3556.826) (-3564.304) -- 0:05:36
763000 -- (-3565.103) (-3561.169) [-3557.980] (-3562.702) * (-3562.832) (-3566.135) [-3551.018] (-3572.034) -- 0:05:34
764000 -- (-3578.831) (-3563.415) [-3550.953] (-3560.871) * (-3564.219) (-3561.248) [-3548.615] (-3563.579) -- 0:05:32
765000 -- (-3552.767) [-3552.711] (-3554.955) (-3567.734) * [-3557.441] (-3557.473) (-3553.065) (-3571.834) -- 0:05:31
Average standard deviation of split frequencies: 0.004054
766000 -- [-3561.890] (-3558.405) (-3557.541) (-3572.331) * [-3561.866] (-3559.618) (-3572.047) (-3575.928) -- 0:05:30
767000 -- [-3555.227] (-3571.924) (-3568.896) (-3568.318) * (-3559.941) (-3554.701) (-3565.033) [-3552.615] -- 0:05:28
768000 -- [-3549.659] (-3567.286) (-3563.888) (-3552.132) * [-3552.909] (-3581.627) (-3570.954) (-3553.353) -- 0:05:27
769000 -- (-3562.681) [-3550.790] (-3561.531) (-3553.028) * (-3560.377) (-3564.498) [-3553.682] (-3560.749) -- 0:05:25
770000 -- (-3563.044) [-3551.186] (-3563.361) (-3562.253) * (-3556.246) (-3572.326) (-3552.010) [-3564.850] -- 0:05:24
Average standard deviation of split frequencies: 0.004335
771000 -- (-3572.149) (-3560.608) (-3549.725) [-3572.763] * [-3550.874] (-3566.937) (-3554.823) (-3562.203) -- 0:05:23
772000 -- (-3570.512) (-3567.826) [-3551.931] (-3572.414) * (-3553.762) (-3565.044) (-3572.508) [-3556.108] -- 0:05:21
773000 -- (-3555.680) (-3565.317) (-3561.660) [-3553.120] * [-3557.153] (-3576.619) (-3557.307) (-3558.877) -- 0:05:20
774000 -- (-3564.823) (-3562.023) [-3554.025] (-3572.514) * [-3552.708] (-3555.863) (-3556.241) (-3554.908) -- 0:05:19
775000 -- [-3562.156] (-3569.362) (-3556.637) (-3564.217) * (-3560.579) [-3549.682] (-3582.482) (-3563.340) -- 0:05:17
Average standard deviation of split frequencies: 0.004543
776000 -- [-3556.498] (-3575.007) (-3556.244) (-3556.526) * (-3563.155) (-3565.206) (-3551.780) [-3554.415] -- 0:05:16
777000 -- (-3565.306) [-3548.516] (-3555.008) (-3560.293) * (-3577.116) [-3553.228] (-3560.353) (-3555.304) -- 0:05:14
778000 -- (-3562.287) (-3565.281) [-3546.306] (-3574.125) * (-3565.935) (-3570.631) (-3559.716) [-3557.282] -- 0:05:13
779000 -- [-3550.885] (-3563.871) (-3574.297) (-3550.983) * (-3554.577) [-3564.107] (-3557.220) (-3554.113) -- 0:05:12
780000 -- (-3543.711) (-3568.752) (-3562.611) [-3549.832] * (-3555.270) (-3566.260) (-3561.741) [-3547.449] -- 0:05:10
Average standard deviation of split frequencies: 0.004634
781000 -- [-3558.930] (-3565.273) (-3564.455) (-3566.140) * (-3559.421) [-3553.065] (-3557.379) (-3556.842) -- 0:05:09
782000 -- (-3570.912) (-3563.475) (-3550.592) [-3553.781] * (-3561.943) (-3560.187) (-3562.457) [-3551.300] -- 0:05:07
783000 -- (-3568.085) [-3548.333] (-3581.656) (-3570.066) * [-3553.230] (-3555.774) (-3558.994) (-3554.068) -- 0:05:06
784000 -- (-3568.034) [-3551.645] (-3564.174) (-3564.167) * (-3558.457) [-3555.065] (-3550.317) (-3554.199) -- 0:05:04
785000 -- (-3554.173) [-3550.371] (-3565.628) (-3571.024) * (-3559.943) (-3563.682) [-3547.700] (-3553.063) -- 0:05:03
Average standard deviation of split frequencies: 0.004811
786000 -- (-3569.823) (-3558.706) [-3549.110] (-3561.803) * (-3568.765) (-3555.632) [-3549.195] (-3557.960) -- 0:05:02
787000 -- (-3571.507) [-3546.460] (-3546.485) (-3562.582) * (-3550.793) (-3562.109) [-3557.576] (-3556.380) -- 0:05:00
788000 -- (-3555.755) [-3556.927] (-3554.303) (-3561.988) * (-3554.056) [-3561.578] (-3564.880) (-3564.429) -- 0:04:59
789000 -- (-3574.788) (-3559.880) [-3551.022] (-3559.454) * [-3567.533] (-3566.123) (-3552.466) (-3563.693) -- 0:04:57
790000 -- (-3560.347) (-3557.597) [-3558.755] (-3561.346) * [-3556.703] (-3574.936) (-3563.211) (-3556.835) -- 0:04:56
Average standard deviation of split frequencies: 0.004951
791000 -- (-3567.555) [-3553.537] (-3577.447) (-3574.954) * [-3547.672] (-3574.627) (-3563.662) (-3564.266) -- 0:04:55
792000 -- (-3563.141) (-3567.076) (-3567.325) [-3562.787] * [-3557.803] (-3552.263) (-3567.548) (-3562.535) -- 0:04:53
793000 -- (-3559.389) (-3567.834) (-3570.162) [-3551.045] * (-3562.129) (-3555.079) (-3574.425) [-3557.116] -- 0:04:52
794000 -- (-3565.789) (-3568.275) (-3564.377) [-3557.598] * (-3559.498) [-3549.477] (-3559.132) (-3568.158) -- 0:04:50
795000 -- (-3556.883) (-3568.415) (-3545.419) [-3552.246] * [-3564.230] (-3557.497) (-3553.229) (-3557.501) -- 0:04:49
Average standard deviation of split frequencies: 0.005060
796000 -- [-3545.912] (-3579.964) (-3548.735) (-3560.071) * (-3568.372) (-3556.753) (-3563.813) [-3547.117] -- 0:04:48
797000 -- [-3549.230] (-3566.422) (-3567.347) (-3561.694) * (-3577.095) [-3561.143] (-3564.148) (-3572.680) -- 0:04:46
798000 -- (-3558.602) (-3566.577) [-3554.013] (-3562.213) * [-3556.195] (-3572.571) (-3556.359) (-3562.502) -- 0:04:45
799000 -- [-3556.381] (-3560.506) (-3571.411) (-3566.171) * (-3564.465) (-3569.261) (-3566.503) [-3555.415] -- 0:04:43
800000 -- [-3552.054] (-3560.175) (-3560.313) (-3568.786) * (-3564.020) (-3559.825) [-3559.896] (-3565.290) -- 0:04:42
Average standard deviation of split frequencies: 0.005056
801000 -- (-3555.791) (-3565.940) (-3555.525) [-3552.024] * (-3559.046) [-3559.441] (-3565.881) (-3565.772) -- 0:04:40
802000 -- (-3560.816) (-3560.139) (-3562.810) [-3548.307] * (-3556.611) (-3560.964) [-3561.211] (-3564.749) -- 0:04:39
803000 -- (-3555.620) (-3565.501) [-3555.767] (-3569.926) * [-3563.359] (-3552.797) (-3559.178) (-3557.629) -- 0:04:38
804000 -- (-3558.445) (-3557.698) (-3557.070) [-3556.687] * [-3552.645] (-3551.001) (-3558.151) (-3573.389) -- 0:04:36
805000 -- (-3556.745) [-3556.942] (-3555.598) (-3575.289) * (-3559.265) (-3552.277) [-3550.482] (-3572.150) -- 0:04:35
Average standard deviation of split frequencies: 0.004908
806000 -- (-3555.604) [-3560.409] (-3561.958) (-3576.794) * (-3557.839) [-3552.712] (-3570.079) (-3555.074) -- 0:04:33
807000 -- (-3549.810) (-3547.111) [-3557.321] (-3555.654) * (-3572.465) [-3548.470] (-3555.196) (-3571.951) -- 0:04:32
808000 -- (-3575.120) (-3553.798) [-3550.371] (-3565.968) * (-3553.868) [-3557.977] (-3553.819) (-3564.807) -- 0:04:31
809000 -- (-3569.346) (-3569.304) (-3573.626) [-3549.152] * (-3571.429) (-3559.678) [-3560.134] (-3554.843) -- 0:04:29
810000 -- [-3550.857] (-3571.735) (-3573.475) (-3556.735) * (-3564.742) [-3559.978] (-3552.542) (-3575.822) -- 0:04:28
Average standard deviation of split frequencies: 0.004791
811000 -- (-3576.707) [-3561.127] (-3554.726) (-3565.671) * (-3544.550) (-3562.698) (-3563.735) [-3569.270] -- 0:04:27
812000 -- (-3568.799) [-3551.470] (-3572.525) (-3565.833) * [-3554.690] (-3567.231) (-3563.180) (-3579.369) -- 0:04:25
813000 -- (-3565.081) (-3562.078) [-3551.502] (-3578.987) * (-3557.561) [-3555.577] (-3547.808) (-3563.814) -- 0:04:24
814000 -- [-3550.606] (-3569.004) (-3550.586) (-3559.027) * (-3571.048) (-3555.145) (-3571.793) [-3550.236] -- 0:04:22
815000 -- (-3557.845) [-3558.616] (-3561.219) (-3561.827) * (-3568.654) (-3552.930) [-3560.753] (-3563.840) -- 0:04:21
Average standard deviation of split frequencies: 0.004659
816000 -- (-3555.080) (-3551.616) [-3555.142] (-3557.192) * (-3562.140) (-3558.758) [-3553.694] (-3553.625) -- 0:04:19
817000 -- (-3551.952) [-3548.383] (-3565.558) (-3560.991) * (-3558.132) (-3556.972) [-3582.499] (-3560.333) -- 0:04:18
818000 -- (-3572.331) (-3565.949) (-3555.482) [-3550.728] * (-3552.868) (-3558.089) (-3565.539) [-3558.753] -- 0:04:16
819000 -- (-3569.962) (-3560.626) (-3559.920) [-3555.942] * (-3565.440) [-3558.317] (-3560.337) (-3559.154) -- 0:04:15
820000 -- (-3562.128) (-3555.315) [-3567.879] (-3556.760) * (-3559.909) (-3566.488) (-3569.664) [-3563.352] -- 0:04:14
Average standard deviation of split frequencies: 0.004745
821000 -- (-3560.579) (-3567.925) (-3566.513) [-3555.803] * [-3558.610] (-3549.546) (-3563.023) (-3559.328) -- 0:04:12
822000 -- (-3559.324) [-3565.873] (-3561.873) (-3556.642) * (-3555.628) (-3560.513) [-3554.151] (-3566.524) -- 0:04:11
823000 -- (-3560.319) [-3564.009] (-3559.412) (-3572.605) * (-3565.123) (-3560.846) [-3551.844] (-3546.701) -- 0:04:09
824000 -- [-3548.993] (-3563.149) (-3581.166) (-3579.298) * (-3556.244) [-3552.985] (-3572.680) (-3563.831) -- 0:04:08
825000 -- [-3548.143] (-3559.476) (-3557.482) (-3553.971) * (-3557.985) [-3553.986] (-3565.448) (-3560.714) -- 0:04:07
Average standard deviation of split frequencies: 0.004665
826000 -- [-3558.408] (-3552.644) (-3558.359) (-3566.434) * [-3547.085] (-3551.286) (-3571.374) (-3568.250) -- 0:04:05
827000 -- [-3549.663] (-3566.153) (-3566.829) (-3557.509) * (-3566.727) [-3551.092] (-3570.609) (-3561.955) -- 0:04:04
828000 -- (-3560.188) (-3574.857) (-3559.124) [-3547.910] * (-3568.357) (-3551.702) [-3557.051] (-3571.180) -- 0:04:02
829000 -- (-3574.039) (-3551.380) [-3556.357] (-3549.643) * (-3570.968) (-3558.491) [-3548.615] (-3559.946) -- 0:04:01
830000 -- (-3567.541) [-3551.739] (-3560.698) (-3547.673) * (-3562.153) (-3586.207) (-3566.550) [-3559.983] -- 0:04:00
Average standard deviation of split frequencies: 0.004602
831000 -- [-3555.304] (-3551.487) (-3548.603) (-3557.029) * (-3565.302) (-3570.246) [-3550.346] (-3570.443) -- 0:03:58
832000 -- (-3565.978) (-3566.905) (-3572.203) [-3554.853] * (-3567.500) (-3554.708) [-3550.819] (-3559.020) -- 0:03:57
833000 -- (-3580.440) [-3559.433] (-3563.056) (-3565.368) * (-3549.446) (-3577.865) (-3555.911) [-3551.199] -- 0:03:55
834000 -- [-3549.535] (-3552.348) (-3554.028) (-3575.024) * (-3559.476) (-3566.511) (-3574.385) [-3559.552] -- 0:03:54
835000 -- (-3573.067) (-3558.765) (-3568.640) [-3567.034] * (-3559.296) [-3564.200] (-3577.141) (-3568.055) -- 0:03:52
Average standard deviation of split frequencies: 0.004352
836000 -- (-3567.192) (-3561.910) (-3564.080) [-3557.960] * (-3567.255) (-3551.439) [-3554.729] (-3556.725) -- 0:03:51
837000 -- [-3546.780] (-3569.618) (-3573.462) (-3557.654) * (-3565.346) (-3562.628) (-3555.201) [-3545.270] -- 0:03:50
838000 -- [-3562.231] (-3561.063) (-3577.037) (-3560.007) * [-3548.865] (-3561.768) (-3570.669) (-3560.011) -- 0:03:48
839000 -- [-3553.343] (-3560.571) (-3563.336) (-3568.948) * [-3557.585] (-3570.805) (-3559.236) (-3558.277) -- 0:03:47
840000 -- (-3560.740) (-3553.826) [-3549.807] (-3590.665) * [-3546.126] (-3561.757) (-3563.246) (-3551.657) -- 0:03:45
Average standard deviation of split frequencies: 0.004279
841000 -- (-3553.740) (-3566.575) [-3555.338] (-3570.981) * (-3556.135) (-3557.227) [-3553.056] (-3564.322) -- 0:03:44
842000 -- [-3558.106] (-3564.005) (-3559.044) (-3565.119) * (-3559.183) (-3570.903) [-3548.992] (-3564.109) -- 0:03:43
843000 -- (-3547.603) (-3566.171) (-3564.054) [-3555.273] * (-3567.944) (-3573.514) [-3567.493] (-3559.819) -- 0:03:41
844000 -- [-3550.906] (-3588.191) (-3560.139) (-3555.468) * (-3567.211) [-3558.623] (-3561.704) (-3556.894) -- 0:03:40
845000 -- (-3571.789) (-3567.069) (-3560.079) [-3547.142] * (-3556.621) (-3553.200) (-3571.872) [-3562.064] -- 0:03:38
Average standard deviation of split frequencies: 0.004530
846000 -- (-3582.912) (-3574.124) (-3556.249) [-3558.346] * (-3556.964) [-3552.159] (-3569.012) (-3581.260) -- 0:03:37
847000 -- (-3561.297) (-3558.491) (-3559.450) [-3558.111] * [-3559.763] (-3555.000) (-3575.162) (-3566.595) -- 0:03:36
848000 -- (-3564.293) (-3555.581) (-3575.514) [-3550.711] * [-3550.963] (-3561.082) (-3567.732) (-3565.359) -- 0:03:34
849000 -- (-3548.829) (-3565.497) [-3548.332] (-3560.716) * (-3564.437) (-3562.647) [-3561.892] (-3564.170) -- 0:03:33
850000 -- [-3559.357] (-3563.469) (-3569.665) (-3557.854) * [-3559.971] (-3569.243) (-3567.845) (-3559.683) -- 0:03:31
Average standard deviation of split frequencies: 0.004542
851000 -- (-3572.519) (-3565.394) (-3555.035) [-3556.169] * (-3558.032) (-3560.174) (-3555.922) [-3547.853] -- 0:03:30
852000 -- [-3560.714] (-3553.739) (-3559.341) (-3563.529) * (-3572.398) (-3567.940) [-3553.107] (-3563.572) -- 0:03:28
853000 -- [-3558.550] (-3574.090) (-3557.181) (-3553.430) * (-3565.746) (-3559.088) [-3558.814] (-3563.989) -- 0:03:27
854000 -- (-3557.470) (-3557.742) [-3552.418] (-3545.685) * (-3575.011) (-3565.253) [-3563.914] (-3555.109) -- 0:03:26
855000 -- (-3560.995) (-3575.048) (-3564.694) [-3554.090] * (-3562.141) (-3561.316) (-3558.473) [-3565.520] -- 0:03:24
Average standard deviation of split frequencies: 0.004573
856000 -- (-3548.225) (-3568.085) (-3558.037) [-3552.747] * (-3571.463) [-3557.648] (-3561.030) (-3582.928) -- 0:03:23
857000 -- (-3579.586) [-3561.915] (-3553.938) (-3565.647) * [-3555.052] (-3562.265) (-3561.145) (-3565.684) -- 0:03:21
858000 -- (-3566.826) (-3567.637) (-3573.957) [-3547.767] * (-3564.099) (-3561.986) [-3557.567] (-3555.014) -- 0:03:20
859000 -- (-3567.350) (-3565.402) (-3549.766) [-3552.682] * (-3565.128) (-3591.634) (-3555.643) [-3554.432] -- 0:03:19
860000 -- (-3556.427) (-3567.312) [-3551.384] (-3561.791) * (-3568.252) (-3559.790) (-3553.027) [-3547.868] -- 0:03:17
Average standard deviation of split frequencies: 0.004584
861000 -- (-3567.970) (-3567.634) [-3548.692] (-3556.259) * (-3566.513) (-3557.406) [-3565.624] (-3562.687) -- 0:03:16
862000 -- [-3549.851] (-3546.852) (-3566.662) (-3553.200) * (-3557.482) (-3579.815) (-3562.297) [-3561.403] -- 0:03:14
863000 -- (-3563.443) (-3574.590) (-3554.981) [-3558.621] * (-3561.204) [-3549.096] (-3555.300) (-3577.190) -- 0:03:13
864000 -- [-3557.845] (-3568.213) (-3569.474) (-3559.770) * (-3564.461) (-3558.436) [-3561.260] (-3571.754) -- 0:03:12
865000 -- (-3570.912) (-3560.894) [-3552.799] (-3567.384) * [-3557.065] (-3567.439) (-3563.297) (-3569.445) -- 0:03:10
Average standard deviation of split frequencies: 0.004615
866000 -- (-3561.170) (-3573.091) (-3561.911) [-3558.069] * [-3558.511] (-3562.038) (-3579.251) (-3558.692) -- 0:03:09
867000 -- (-3554.309) (-3577.211) (-3559.818) [-3550.108] * (-3556.008) (-3558.490) [-3556.915] (-3561.924) -- 0:03:07
868000 -- (-3546.757) [-3559.117] (-3565.597) (-3561.855) * (-3574.351) [-3554.361] (-3553.532) (-3561.361) -- 0:03:06
869000 -- [-3559.453] (-3562.622) (-3570.038) (-3548.778) * (-3557.341) (-3561.841) (-3572.561) [-3565.736] -- 0:03:04
870000 -- (-3562.493) (-3573.672) [-3563.547] (-3569.920) * (-3565.248) (-3561.041) (-3553.824) [-3554.823] -- 0:03:03
Average standard deviation of split frequencies: 0.004379
871000 -- (-3566.748) (-3572.318) [-3551.694] (-3564.251) * [-3552.506] (-3565.418) (-3554.313) (-3568.573) -- 0:03:02
872000 -- (-3561.161) (-3556.099) (-3567.091) [-3550.973] * [-3555.172] (-3578.263) (-3564.349) (-3556.713) -- 0:03:00
873000 -- (-3565.372) [-3555.172] (-3558.252) (-3571.259) * (-3559.407) (-3587.678) [-3554.942] (-3555.134) -- 0:02:59
874000 -- (-3576.947) [-3559.550] (-3560.388) (-3564.291) * [-3559.288] (-3571.213) (-3553.190) (-3550.728) -- 0:02:57
875000 -- (-3563.452) [-3558.728] (-3570.033) (-3563.481) * (-3560.020) (-3566.861) (-3558.968) [-3556.228] -- 0:02:56
Average standard deviation of split frequencies: 0.004340
876000 -- (-3556.877) [-3555.214] (-3573.586) (-3576.605) * (-3564.483) [-3566.233] (-3560.382) (-3567.267) -- 0:02:55
877000 -- [-3552.585] (-3555.762) (-3563.040) (-3569.640) * [-3539.816] (-3566.032) (-3568.071) (-3569.717) -- 0:02:53
878000 -- [-3564.930] (-3577.381) (-3575.336) (-3550.488) * (-3560.913) (-3576.486) [-3547.622] (-3555.279) -- 0:02:52
879000 -- [-3549.173] (-3564.772) (-3550.747) (-3551.087) * (-3554.596) (-3574.261) (-3561.820) [-3554.516] -- 0:02:50
880000 -- (-3554.513) [-3558.135] (-3557.127) (-3569.365) * (-3554.088) [-3549.057] (-3567.546) (-3556.401) -- 0:02:49
Average standard deviation of split frequencies: 0.004317
881000 -- (-3551.811) (-3560.788) [-3545.520] (-3566.261) * (-3561.235) [-3558.534] (-3565.724) (-3562.782) -- 0:02:48
882000 -- (-3561.153) [-3557.786] (-3555.916) (-3566.135) * [-3569.794] (-3572.211) (-3562.436) (-3569.859) -- 0:02:46
883000 -- (-3565.736) (-3561.501) [-3556.296] (-3571.610) * (-3560.825) (-3555.662) (-3556.991) [-3556.207] -- 0:02:45
884000 -- (-3566.658) [-3553.754] (-3558.401) (-3556.857) * (-3557.063) (-3571.487) (-3559.479) [-3557.740] -- 0:02:43
885000 -- (-3570.034) [-3553.789] (-3564.611) (-3570.721) * [-3550.261] (-3570.282) (-3556.396) (-3564.134) -- 0:02:42
Average standard deviation of split frequencies: 0.003843
886000 -- (-3558.302) (-3558.445) (-3554.881) [-3554.204] * (-3558.062) (-3574.281) (-3563.627) [-3552.513] -- 0:02:40
887000 -- (-3559.576) (-3568.732) [-3553.254] (-3555.675) * (-3559.640) (-3561.129) (-3569.132) [-3556.830] -- 0:02:39
888000 -- (-3574.667) (-3566.105) (-3570.771) [-3548.680] * (-3558.136) (-3579.238) [-3556.847] (-3555.922) -- 0:02:38
889000 -- (-3553.779) [-3554.707] (-3549.322) (-3560.208) * (-3565.106) (-3561.189) (-3564.485) [-3557.239] -- 0:02:36
890000 -- (-3557.852) (-3564.308) [-3556.414] (-3569.950) * (-3572.011) [-3555.550] (-3549.455) (-3554.710) -- 0:02:35
Average standard deviation of split frequencies: 0.003787
891000 -- (-3559.453) (-3553.534) [-3555.083] (-3550.437) * [-3553.010] (-3559.504) (-3562.920) (-3548.746) -- 0:02:33
892000 -- (-3555.011) (-3559.130) (-3556.055) [-3556.460] * (-3565.546) (-3555.823) [-3576.253] (-3553.024) -- 0:02:32
893000 -- [-3549.468] (-3563.343) (-3553.495) (-3547.029) * (-3554.132) (-3568.191) (-3566.027) [-3550.479] -- 0:02:31
894000 -- (-3554.636) (-3550.271) (-3565.399) [-3538.785] * (-3562.519) [-3571.828] (-3574.217) (-3557.933) -- 0:02:29
895000 -- (-3555.236) [-3561.025] (-3562.832) (-3551.935) * (-3567.868) (-3568.758) [-3547.092] (-3553.028) -- 0:02:28
Average standard deviation of split frequencies: 0.003917
896000 -- (-3559.190) (-3556.760) [-3547.273] (-3558.186) * (-3574.102) (-3571.583) [-3546.128] (-3550.934) -- 0:02:26
897000 -- (-3561.712) (-3571.570) (-3556.720) [-3560.785] * (-3576.353) (-3566.040) (-3571.277) [-3554.348] -- 0:02:25
898000 -- (-3555.713) [-3561.289] (-3559.050) (-3576.525) * (-3582.892) (-3563.052) (-3553.860) [-3554.797] -- 0:02:24
899000 -- (-3561.243) (-3578.577) [-3561.543] (-3562.048) * (-3570.162) (-3563.959) (-3559.131) [-3562.930] -- 0:02:22
900000 -- (-3561.414) (-3575.042) (-3569.143) [-3548.595] * [-3560.247] (-3556.770) (-3554.421) (-3564.937) -- 0:02:21
Average standard deviation of split frequencies: 0.004082
901000 -- [-3564.355] (-3556.164) (-3560.138) (-3569.284) * (-3555.809) [-3553.507] (-3559.411) (-3556.259) -- 0:02:19
902000 -- (-3563.417) [-3553.776] (-3558.608) (-3570.083) * (-3580.187) (-3560.097) (-3552.852) [-3555.994] -- 0:02:18
903000 -- [-3563.514] (-3560.443) (-3566.443) (-3561.011) * (-3585.768) (-3564.293) (-3569.613) [-3546.517] -- 0:02:16
904000 -- (-3565.972) (-3569.175) (-3579.251) [-3547.983] * (-3575.418) [-3549.590] (-3562.954) (-3553.455) -- 0:02:15
905000 -- (-3563.075) (-3553.384) (-3570.439) [-3557.091] * (-3565.736) (-3554.798) [-3553.086] (-3556.186) -- 0:02:14
Average standard deviation of split frequencies: 0.003966
906000 -- (-3568.209) (-3561.242) (-3560.484) [-3573.898] * [-3554.686] (-3561.391) (-3564.562) (-3567.311) -- 0:02:12
907000 -- (-3554.998) (-3549.529) [-3558.523] (-3566.298) * (-3546.374) [-3553.845] (-3566.728) (-3557.565) -- 0:02:11
908000 -- [-3560.244] (-3556.099) (-3567.948) (-3577.203) * (-3570.201) (-3568.900) (-3552.214) [-3558.959] -- 0:02:09
909000 -- [-3554.764] (-3566.018) (-3559.084) (-3550.885) * (-3564.183) (-3559.548) [-3558.324] (-3565.688) -- 0:02:08
910000 -- (-3560.569) [-3553.407] (-3577.659) (-3555.685) * [-3554.961] (-3577.996) (-3567.209) (-3563.201) -- 0:02:07
Average standard deviation of split frequencies: 0.003865
911000 -- [-3555.684] (-3562.552) (-3575.155) (-3557.292) * (-3554.405) [-3555.328] (-3570.128) (-3551.073) -- 0:02:05
912000 -- (-3564.049) (-3552.622) [-3558.283] (-3566.140) * (-3564.383) (-3567.302) (-3550.770) [-3549.450] -- 0:02:04
913000 -- (-3564.898) (-3555.250) [-3555.049] (-3566.679) * (-3559.953) (-3565.717) (-3561.891) [-3554.492] -- 0:02:02
914000 -- (-3560.719) (-3558.913) (-3585.417) [-3550.903] * (-3558.854) [-3544.169] (-3562.308) (-3554.119) -- 0:02:01
915000 -- (-3565.848) (-3552.908) [-3555.974] (-3571.638) * (-3557.972) [-3561.035] (-3562.703) (-3552.382) -- 0:02:00
Average standard deviation of split frequencies: 0.003923
916000 -- (-3561.171) (-3552.944) [-3558.734] (-3564.325) * (-3562.413) (-3563.429) (-3571.374) [-3566.214] -- 0:01:58
917000 -- (-3557.175) (-3555.065) [-3541.441] (-3559.214) * (-3574.864) [-3562.552] (-3557.637) (-3572.053) -- 0:01:57
918000 -- (-3562.773) [-3561.008] (-3560.842) (-3554.696) * (-3563.304) (-3558.498) (-3569.580) [-3555.274] -- 0:01:55
919000 -- (-3572.057) (-3556.726) (-3554.890) [-3555.974] * [-3555.310] (-3553.390) (-3577.089) (-3551.353) -- 0:01:54
920000 -- (-3567.197) (-3557.132) [-3550.434] (-3560.256) * (-3562.305) (-3560.852) (-3562.070) [-3557.368] -- 0:01:53
Average standard deviation of split frequencies: 0.004051
921000 -- (-3563.532) [-3559.490] (-3550.481) (-3567.083) * (-3570.382) (-3561.105) (-3570.788) [-3568.838] -- 0:01:51
922000 -- (-3555.384) (-3560.235) (-3556.361) [-3562.497] * [-3549.521] (-3570.762) (-3562.757) (-3583.214) -- 0:01:50
923000 -- [-3552.721] (-3559.404) (-3555.706) (-3563.022) * [-3544.182] (-3568.771) (-3555.887) (-3566.117) -- 0:01:48
924000 -- [-3553.274] (-3571.902) (-3556.809) (-3570.526) * [-3565.618] (-3561.787) (-3558.576) (-3552.006) -- 0:01:47
925000 -- [-3552.558] (-3570.101) (-3563.301) (-3545.406) * (-3555.962) (-3561.391) [-3554.098] (-3560.972) -- 0:01:45
Average standard deviation of split frequencies: 0.004140
926000 -- [-3549.694] (-3571.455) (-3572.878) (-3572.798) * (-3574.315) (-3559.502) (-3558.127) [-3554.227] -- 0:01:44
927000 -- (-3552.335) (-3573.806) (-3555.150) [-3557.006] * (-3577.120) [-3562.423] (-3567.290) (-3559.645) -- 0:01:43
928000 -- (-3561.445) (-3562.271) (-3563.241) [-3563.817] * (-3564.672) (-3566.716) (-3583.299) [-3550.501] -- 0:01:41
929000 -- (-3563.193) (-3564.799) (-3574.644) [-3558.102] * [-3556.588] (-3559.476) (-3562.323) (-3553.695) -- 0:01:40
930000 -- (-3568.823) [-3563.229] (-3560.003) (-3573.705) * (-3555.089) (-3556.011) (-3573.188) [-3562.411] -- 0:01:38
Average standard deviation of split frequencies: 0.004041
931000 -- (-3573.771) [-3550.714] (-3561.357) (-3562.839) * (-3549.977) (-3571.999) (-3575.432) [-3558.125] -- 0:01:37
932000 -- (-3562.161) (-3568.603) [-3550.761] (-3565.700) * (-3563.374) (-3562.333) (-3572.296) [-3553.888] -- 0:01:36
933000 -- (-3556.264) [-3566.384] (-3556.566) (-3565.281) * [-3552.394] (-3568.340) (-3570.328) (-3556.385) -- 0:01:34
934000 -- [-3557.330] (-3571.391) (-3566.859) (-3554.677) * (-3553.002) [-3548.650] (-3573.608) (-3566.910) -- 0:01:33
935000 -- (-3558.013) (-3582.459) [-3554.702] (-3574.732) * [-3551.336] (-3561.700) (-3576.144) (-3559.045) -- 0:01:31
Average standard deviation of split frequencies: 0.004130
936000 -- (-3561.255) [-3558.511] (-3552.103) (-3566.633) * (-3562.124) [-3551.853] (-3563.381) (-3561.786) -- 0:01:30
937000 -- (-3559.067) (-3568.687) [-3561.157] (-3557.323) * (-3560.208) (-3573.579) (-3550.258) [-3554.251] -- 0:01:28
938000 -- (-3567.440) (-3560.710) (-3551.127) [-3556.239] * (-3568.946) [-3558.792] (-3562.357) (-3553.590) -- 0:01:27
939000 -- [-3562.803] (-3558.269) (-3553.033) (-3581.786) * (-3566.092) (-3559.345) (-3577.001) [-3564.511] -- 0:01:26
940000 -- (-3575.186) [-3554.845] (-3573.516) (-3570.161) * [-3552.031] (-3564.874) (-3557.980) (-3563.572) -- 0:01:24
Average standard deviation of split frequencies: 0.003931
941000 -- (-3564.246) (-3564.673) (-3559.319) [-3565.799] * (-3567.635) (-3570.511) (-3548.589) [-3556.150] -- 0:01:23
942000 -- (-3559.725) (-3557.206) [-3546.575] (-3574.105) * (-3585.162) (-3564.349) [-3552.977] (-3561.894) -- 0:01:21
943000 -- (-3567.034) (-3575.571) (-3568.522) [-3543.079] * (-3567.271) (-3572.019) [-3553.675] (-3584.150) -- 0:01:20
944000 -- (-3562.488) (-3564.639) [-3555.275] (-3560.546) * [-3548.391] (-3576.167) (-3552.344) (-3574.592) -- 0:01:19
945000 -- [-3557.124] (-3562.223) (-3570.818) (-3564.489) * (-3555.159) (-3558.867) [-3550.247] (-3555.761) -- 0:01:17
Average standard deviation of split frequencies: 0.004042
946000 -- (-3560.962) [-3560.349] (-3565.776) (-3570.873) * (-3562.664) (-3548.095) (-3566.433) [-3562.396] -- 0:01:16
947000 -- (-3579.113) [-3563.308] (-3569.618) (-3567.671) * [-3553.367] (-3569.056) (-3575.082) (-3554.444) -- 0:01:14
948000 -- (-3573.417) [-3543.855] (-3568.552) (-3560.053) * (-3559.938) (-3570.041) [-3557.631] (-3551.219) -- 0:01:13
949000 -- (-3566.621) (-3569.965) [-3554.086] (-3556.379) * (-3555.885) (-3564.173) [-3563.803] (-3557.626) -- 0:01:12
950000 -- [-3547.768] (-3576.221) (-3564.386) (-3558.209) * (-3554.939) (-3567.711) (-3559.628) [-3546.211] -- 0:01:10
Average standard deviation of split frequencies: 0.003956
951000 -- (-3549.465) [-3570.232] (-3554.375) (-3569.559) * (-3553.213) (-3574.899) (-3561.773) [-3546.172] -- 0:01:09
952000 -- [-3553.417] (-3558.553) (-3556.710) (-3565.498) * (-3564.006) [-3555.994] (-3576.291) (-3563.080) -- 0:01:07
953000 -- (-3557.051) [-3554.805] (-3559.355) (-3572.438) * [-3547.876] (-3562.103) (-3574.853) (-3560.866) -- 0:01:06
954000 -- (-3556.032) [-3555.251] (-3553.621) (-3578.296) * (-3556.922) (-3570.903) (-3555.977) [-3552.227] -- 0:01:04
955000 -- (-3560.254) (-3543.924) [-3555.408] (-3569.972) * (-3566.210) (-3556.401) (-3558.578) [-3551.340] -- 0:01:03
Average standard deviation of split frequencies: 0.004087
956000 -- (-3555.612) [-3555.768] (-3560.996) (-3570.029) * (-3570.861) (-3554.210) (-3570.218) [-3548.861] -- 0:01:02
957000 -- (-3575.873) [-3552.663] (-3555.207) (-3562.406) * (-3558.911) (-3565.398) (-3577.874) [-3551.441] -- 0:01:00
958000 -- (-3567.014) [-3553.563] (-3561.088) (-3567.001) * (-3565.530) [-3551.128] (-3565.053) (-3569.747) -- 0:00:59
959000 -- (-3555.625) [-3573.029] (-3585.667) (-3561.824) * (-3559.561) (-3563.126) [-3549.264] (-3567.242) -- 0:00:57
960000 -- [-3565.223] (-3559.622) (-3558.555) (-3566.341) * (-3574.726) (-3584.815) [-3556.071] (-3562.770) -- 0:00:56
Average standard deviation of split frequencies: 0.004100
961000 -- (-3567.336) [-3562.867] (-3552.679) (-3559.457) * [-3555.742] (-3583.183) (-3556.064) (-3568.058) -- 0:00:55
962000 -- (-3562.549) [-3560.388] (-3566.423) (-3571.503) * [-3540.202] (-3557.282) (-3551.690) (-3552.643) -- 0:00:53
963000 -- [-3570.323] (-3574.862) (-3552.491) (-3565.051) * (-3558.106) (-3554.379) [-3552.917] (-3560.018) -- 0:00:52
964000 -- (-3559.242) (-3568.685) (-3568.093) [-3562.158] * (-3557.503) (-3569.842) [-3546.514] (-3584.620) -- 0:00:50
965000 -- (-3573.335) [-3556.084] (-3563.677) (-3564.163) * (-3563.187) [-3553.845] (-3561.238) (-3557.525) -- 0:00:49
Average standard deviation of split frequencies: 0.004132
966000 -- (-3555.316) [-3558.880] (-3567.057) (-3563.947) * (-3564.741) [-3562.193] (-3567.255) (-3564.773) -- 0:00:48
967000 -- [-3551.100] (-3565.343) (-3568.793) (-3555.811) * (-3556.742) (-3575.587) [-3564.786] (-3563.553) -- 0:00:46
968000 -- (-3560.467) [-3554.977] (-3573.086) (-3566.213) * [-3559.668] (-3570.743) (-3549.773) (-3558.684) -- 0:00:45
969000 -- [-3549.117] (-3555.397) (-3555.540) (-3571.398) * (-3556.963) (-3571.166) (-3562.183) [-3546.020] -- 0:00:43
970000 -- (-3546.807) [-3555.509] (-3575.831) (-3549.136) * (-3562.249) (-3571.962) (-3566.776) [-3556.670] -- 0:00:42
Average standard deviation of split frequencies: 0.004187
971000 -- (-3563.695) (-3568.998) (-3567.216) [-3554.833] * (-3553.843) (-3559.230) (-3546.488) [-3562.835] -- 0:00:40
972000 -- (-3570.451) (-3560.800) [-3553.307] (-3558.423) * (-3552.251) (-3574.183) (-3553.182) [-3560.387] -- 0:00:39
973000 -- (-3554.783) (-3567.328) (-3559.302) [-3549.763] * (-3565.201) (-3576.809) (-3553.164) [-3554.197] -- 0:00:38
974000 -- (-3570.911) (-3565.957) [-3551.831] (-3556.017) * (-3567.358) (-3576.270) (-3556.247) [-3548.005] -- 0:00:36
975000 -- (-3551.757) (-3570.124) [-3546.061] (-3554.474) * (-3557.267) (-3568.202) [-3551.404] (-3555.329) -- 0:00:35
Average standard deviation of split frequencies: 0.004250
976000 -- [-3553.386] (-3567.048) (-3562.997) (-3564.577) * [-3549.752] (-3564.603) (-3566.074) (-3560.902) -- 0:00:33
977000 -- (-3552.169) [-3550.533] (-3576.281) (-3558.335) * (-3569.277) [-3554.154] (-3559.384) (-3558.205) -- 0:00:32
978000 -- (-3565.861) (-3575.576) [-3557.803] (-3558.057) * (-3560.502) (-3561.893) [-3558.134] (-3564.112) -- 0:00:31
979000 -- (-3552.173) (-3565.124) [-3552.496] (-3564.363) * (-3564.694) (-3561.963) [-3556.160] (-3559.068) -- 0:00:29
980000 -- (-3552.489) (-3559.494) [-3553.257] (-3553.789) * (-3556.376) (-3553.910) [-3552.101] (-3569.247) -- 0:00:28
Average standard deviation of split frequencies: 0.004230
981000 -- (-3561.773) (-3560.750) (-3560.573) [-3551.213] * [-3549.881] (-3565.576) (-3568.041) (-3560.827) -- 0:00:26
982000 -- (-3557.336) (-3555.386) (-3561.238) [-3556.863] * [-3547.228] (-3557.059) (-3577.353) (-3557.869) -- 0:00:25
983000 -- (-3561.351) (-3549.482) [-3552.084] (-3550.277) * (-3567.151) (-3560.925) (-3559.166) [-3555.486] -- 0:00:24
984000 -- (-3566.428) (-3564.589) (-3555.035) [-3545.813] * (-3553.476) (-3567.070) (-3552.409) [-3548.544] -- 0:00:22
985000 -- (-3557.626) (-3577.451) (-3551.033) [-3556.028] * (-3559.309) (-3555.632) (-3556.730) [-3555.175] -- 0:00:21
Average standard deviation of split frequencies: 0.004122
986000 -- (-3559.365) [-3561.486] (-3567.098) (-3549.467) * (-3561.155) (-3562.626) [-3545.804] (-3578.215) -- 0:00:19
987000 -- [-3556.826] (-3557.226) (-3561.396) (-3563.720) * (-3560.560) (-3561.696) [-3556.353] (-3560.329) -- 0:00:18
988000 -- (-3559.022) [-3550.237] (-3567.056) (-3575.073) * (-3554.288) [-3542.001] (-3564.727) (-3549.484) -- 0:00:16
989000 -- (-3563.201) [-3556.364] (-3563.713) (-3576.286) * (-3560.017) [-3551.012] (-3572.219) (-3547.804) -- 0:00:15
990000 -- (-3558.122) [-3555.550] (-3566.183) (-3558.825) * (-3565.150) [-3554.315] (-3562.295) (-3565.140) -- 0:00:14
Average standard deviation of split frequencies: 0.004230
991000 -- [-3560.635] (-3564.606) (-3583.621) (-3555.775) * (-3570.495) (-3562.839) (-3557.860) [-3546.974] -- 0:00:12
992000 -- (-3553.040) [-3554.710] (-3578.771) (-3567.082) * [-3562.509] (-3568.584) (-3583.324) (-3563.548) -- 0:00:11
993000 -- (-3556.950) (-3557.497) (-3561.779) [-3555.535] * [-3557.426] (-3549.721) (-3572.844) (-3571.655) -- 0:00:09
994000 -- [-3547.060] (-3556.896) (-3583.005) (-3573.628) * (-3563.834) (-3557.045) (-3561.992) [-3550.897] -- 0:00:08
995000 -- (-3566.781) (-3581.182) [-3559.647] (-3588.966) * [-3555.357] (-3559.141) (-3568.106) (-3554.209) -- 0:00:07
Average standard deviation of split frequencies: 0.004197
996000 -- (-3563.934) [-3546.939] (-3558.045) (-3562.047) * [-3570.333] (-3561.934) (-3566.094) (-3564.453) -- 0:00:05
997000 -- (-3565.341) (-3562.435) (-3561.411) [-3552.613] * [-3555.918] (-3563.279) (-3553.417) (-3573.634) -- 0:00:04
998000 -- (-3568.434) (-3559.368) (-3567.091) [-3555.290] * (-3566.654) (-3560.024) (-3565.467) [-3556.348] -- 0:00:02
999000 -- [-3556.852] (-3555.146) (-3567.023) (-3567.483) * (-3555.042) [-3552.680] (-3570.412) (-3551.913) -- 0:00:01
1000000 -- [-3563.950] (-3567.670) (-3576.208) (-3560.361) * (-3564.496) (-3555.313) [-3560.192] (-3551.458) -- 0:00:00
Average standard deviation of split frequencies: 0.003936
Analysis completed in 23 mins 32 seconds
Analysis used 1410.66 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -3536.18
Likelihood of best state for "cold" chain of run 2 was -3536.19
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
37.2 % ( 26 %) Dirichlet(Revmat{all})
56.2 % ( 49 %) Slider(Revmat{all})
22.8 % ( 27 %) Dirichlet(Pi{all})
26.0 % ( 21 %) Slider(Pi{all})
64.0 % ( 40 %) Multiplier(Alpha{1,2})
53.9 % ( 28 %) Multiplier(Alpha{3})
59.6 % ( 29 %) Slider(Pinvar{all})
17.0 % ( 16 %) ExtSPR(Tau{all},V{all})
13.0 % ( 15 %) ExtTBR(Tau{all},V{all})
21.1 % ( 27 %) NNI(Tau{all},V{all})
18.4 % ( 13 %) ParsSPR(Tau{all},V{all})
26.8 % ( 31 %) Multiplier(V{all})
49.2 % ( 50 %) Nodeslider(V{all})
25.1 % ( 35 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
35.9 % ( 23 %) Dirichlet(Revmat{all})
57.5 % ( 47 %) Slider(Revmat{all})
22.8 % ( 20 %) Dirichlet(Pi{all})
25.8 % ( 27 %) Slider(Pi{all})
65.1 % ( 39 %) Multiplier(Alpha{1,2})
53.8 % ( 24 %) Multiplier(Alpha{3})
59.1 % ( 29 %) Slider(Pinvar{all})
17.0 % ( 16 %) ExtSPR(Tau{all},V{all})
13.1 % ( 12 %) ExtTBR(Tau{all},V{all})
21.4 % ( 16 %) NNI(Tau{all},V{all})
18.3 % ( 12 %) ParsSPR(Tau{all},V{all})
26.7 % ( 22 %) Multiplier(V{all})
49.4 % ( 52 %) Nodeslider(V{all})
25.1 % ( 23 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.60 0.31 0.14
2 | 167001 0.62 0.35
3 | 166439 166842 0.65
4 | 165957 166826 166935
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.60 0.32 0.15
2 | 167076 0.63 0.35
3 | 165747 166869 0.65
4 | 166154 166820 167334
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)
+------------------------------------------------------------+ -3551.90
| 1 1 |
| 2 1 |
| 2 2 2 2 |
| 2 1 22 2 2 1 |
| 1 2 1 1 2 1 2 21 1 1 2 2 1 |
|11 1 2 1 2 2 * 1 1 2 1 2 2 |
| 2 * 2 1 121 1 *1 1 2|
|22 * 1 2 1 2 2 21**1 1 2 2111 |
| 2 2 2 22 111 1 11 22 2 2 2 |
| 1 1 2 1 1 2 |
| 1 1 1 12 2 2 1 |
| 2 2 2 2 1|
| 1 2 1 |
| |
| 1 1 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -3559.39
^ ^
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 -3544.49 -3571.43
2 -3545.32 -3575.19
--------------------------------------
TOTAL -3544.82 -3574.52
--------------------------------------
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} 0.259460 0.000485 0.219602 0.305807 0.258504 1409.07 1455.03 1.000
r(A<->C){all} 0.033251 0.000114 0.013371 0.053369 0.032049 972.27 1074.38 1.000
r(A<->G){all} 0.148621 0.000512 0.108264 0.195824 0.146670 848.84 900.24 1.000
r(A<->T){all} 0.057585 0.000173 0.033014 0.084477 0.056732 1084.68 1087.93 1.000
r(C<->G){all} 0.020055 0.000098 0.003780 0.039759 0.018743 718.15 878.06 1.000
r(C<->T){all} 0.640396 0.001128 0.573173 0.705115 0.641196 802.94 831.47 1.000
r(G<->T){all} 0.100092 0.000318 0.066233 0.134628 0.099138 922.46 989.43 1.000
pi(A){all} 0.293921 0.000149 0.269502 0.316590 0.293782 957.14 1140.40 1.001
pi(C){all} 0.215080 0.000110 0.194719 0.235197 0.214653 972.60 972.88 1.000
pi(G){all} 0.235597 0.000128 0.213537 0.257801 0.235375 1077.53 1123.79 1.000
pi(T){all} 0.255401 0.000129 0.233919 0.278030 0.255065 1081.87 1107.67 1.001
alpha{1,2} 0.088558 0.004114 0.000013 0.204486 0.077012 733.40 921.91 1.001
alpha{3} 1.905851 1.076157 0.436667 3.966603 1.643121 990.71 1144.44 1.000
pinvar{all} 0.326876 0.007668 0.150032 0.498489 0.327672 846.52 963.66 1.003
------------------------------------------------------------------------------------------------------
* 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 -- C256
2 -- C49
3 -- C95
4 -- C177
5 -- C259
6 -- C294
7 -- C43
8 -- C19
9 -- C22
10 -- C57
11 -- C230
12 -- C252
13 -- C184
14 -- C129
15 -- C200
16 -- C213
17 -- C78
18 -- C225
19 -- C34
20 -- C70
21 -- C130
22 -- C171
23 -- C69
24 -- C128
25 -- C76
26 -- C135
27 -- C134
28 -- C73
29 -- C83
30 -- C142
Key to taxon bipartitions (saved to file "/data/mrbayes_input.nex.parts"):
ID -- Partition
------------------------------------
1 -- .*****************************
2 -- .*............................
3 -- ..*...........................
4 -- ...*..........................
5 -- ....*.........................
6 -- .....*........................
7 -- ......*.......................
8 -- .......*......................
9 -- ........*.....................
10 -- .........*....................
11 -- ..........*...................
12 -- ...........*..................
13 -- ............*.................
14 -- .............*................
15 -- ..............*...............
16 -- ...............*..............
17 -- ................*.............
18 -- .................*............
19 -- ..................*...........
20 -- ...................*..........
21 -- ....................*.........
22 -- .....................*........
23 -- ......................*.......
24 -- .......................*......
25 -- ........................*.....
26 -- .........................*....
27 -- ..........................*...
28 -- ...........................*..
29 -- ............................*.
30 -- .............................*
31 -- ..........*......*............
32 -- .........................**...
33 -- .**********.*.******.**.*..***
34 -- ..*.........................*.
35 -- .***.****.*.*.**.**...*.....*.
36 -- .............*.........*......
37 -- .....*....*......*............
38 -- ..**..*.*.........*.........*.
39 -- .***..***...*.**..*...*.....*.
40 -- .***..***.....**..*...*.....*.
41 -- .***..***......*..*...*.....*.
42 -- .***.****.*.*.**.***.**....**.
43 -- .......*..............*.......
44 -- ...........*.*......*..*......
45 -- .***.****.*.*.**.**..**....**.
46 -- .**********.*.******.**.*..**.
47 -- .*.....*..............*.......
48 -- .........*......*.......*.....
49 -- .............*......*..*......
50 -- .************************..***
51 -- .....................*.....*..
52 -- .***.******.*.******.**.*..**.
53 -- .........*......*.............
54 -- .********.*.*.**.***.**....**.
55 -- .***..***.........*...*.....*.
56 -- ..**..*.*......*..*.........*.
57 -- .*.....*.......*......*.......
58 -- ................*.......*.....
59 -- .........*..............*.....
60 -- .***.****.*.*.**.**...*....**.
61 -- ......*.*.....................
62 -- ......*...........*...........
63 -- ..**....*.........*.........*.
64 -- ..**..*...........*.........*.
65 -- ..**........................*.
66 -- ..*...*.*.........*.........*.
67 -- ..*...............*.........*.
68 -- ...*..............*...........
69 -- ..*.....*...................*.
70 -- ..*...*.....................*.
71 -- ........*.........*...........
72 -- ...*....*.....................
73 -- ...*..*.*.........*...........
74 -- ...*..*.......................
75 -- ..**..*.*...................*.
------------------------------------
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 3002 1.000000 0.000000 1.000000 1.000000 2
39 3002 1.000000 0.000000 1.000000 1.000000 2
40 3002 1.000000 0.000000 1.000000 1.000000 2
41 3002 1.000000 0.000000 1.000000 1.000000 2
42 3002 1.000000 0.000000 1.000000 1.000000 2
43 3000 0.999334 0.000000 0.999334 0.999334 2
44 2999 0.999001 0.000471 0.998668 0.999334 2
45 2999 0.999001 0.000471 0.998668 0.999334 2
46 2999 0.999001 0.000471 0.998668 0.999334 2
47 2949 0.982345 0.004240 0.979347 0.985343 2
48 2856 0.951366 0.012248 0.942705 0.960027 2
49 2705 0.901066 0.001413 0.900067 0.902065 2
50 2541 0.846436 0.014604 0.836109 0.856762 2
51 2230 0.742838 0.004711 0.739507 0.746169 2
52 1589 0.529314 0.012719 0.520320 0.538308 2
53 1491 0.496669 0.005182 0.493005 0.500333 2
54 1355 0.451366 0.015546 0.440373 0.462358 2
55 1320 0.439707 0.000942 0.439041 0.440373 2
56 843 0.280813 0.007066 0.275816 0.285809 2
57 826 0.275150 0.008480 0.269154 0.281146 2
58 735 0.244837 0.001413 0.243837 0.245836 2
59 687 0.228847 0.010835 0.221186 0.236509 2
60 540 0.179880 0.004711 0.176549 0.183211 2
61 486 0.161892 0.014133 0.151899 0.171885 2
62 446 0.148568 0.005653 0.144570 0.152565 2
63 446 0.148568 0.000942 0.147901 0.149234 2
64 436 0.145237 0.004711 0.141905 0.148568 2
65 436 0.145237 0.005653 0.141239 0.149234 2
66 432 0.143904 0.004711 0.140573 0.147235 2
67 428 0.142572 0.002827 0.140573 0.144570 2
68 418 0.139241 0.001884 0.137908 0.140573 2
69 417 0.138907 0.001413 0.137908 0.139907 2
70 416 0.138574 0.002827 0.136576 0.140573 2
71 416 0.138574 0.006595 0.133911 0.143238 2
72 416 0.138574 0.003769 0.135909 0.141239 2
73 411 0.136909 0.005182 0.133245 0.140573 2
74 410 0.136576 0.010364 0.129247 0.143904 2
75 394 0.131246 0.000942 0.130580 0.131912 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] 0.004118 0.000004 0.001059 0.007839 0.003839 1.000 2
length{all}[2] 0.002291 0.000002 0.000262 0.004903 0.002057 1.000 2
length{all}[3] 0.000736 0.000001 0.000000 0.002341 0.000489 1.000 2
length{all}[4] 0.000772 0.000001 0.000000 0.002290 0.000540 1.000 2
length{all}[5] 0.008050 0.000007 0.003269 0.013371 0.007783 1.001 2
length{all}[6] 0.010660 0.000012 0.004749 0.017750 0.010271 1.000 2
length{all}[7] 0.000759 0.000001 0.000000 0.002303 0.000515 1.003 2
length{all}[8] 0.002341 0.000002 0.000144 0.005070 0.002083 1.000 2
length{all}[9] 0.000755 0.000001 0.000000 0.002295 0.000513 1.000 2
length{all}[10] 0.003884 0.000003 0.001014 0.007682 0.003582 1.001 2
length{all}[11] 0.011176 0.000011 0.005253 0.017485 0.010835 1.000 2
length{all}[12] 0.003908 0.000003 0.000894 0.007487 0.003688 1.000 2
length{all}[13] 0.006700 0.000007 0.001967 0.011763 0.006291 1.001 2
length{all}[14] 0.001526 0.000001 0.000004 0.003662 0.001271 1.000 2
length{all}[15] 0.005397 0.000005 0.001892 0.009931 0.005117 1.000 2
length{all}[16] 0.002175 0.000002 0.000106 0.004822 0.001916 1.000 2
length{all}[17] 0.000784 0.000001 0.000000 0.002350 0.000539 1.000 2
length{all}[18] 0.011244 0.000011 0.005169 0.017728 0.010908 1.000 2
length{all}[19] 0.000762 0.000001 0.000000 0.002286 0.000540 1.000 2
length{all}[20] 0.010306 0.000010 0.004910 0.016486 0.009978 1.000 2
length{all}[21] 0.003873 0.000003 0.001018 0.007562 0.003609 1.000 2
length{all}[22] 0.004335 0.000004 0.000671 0.008455 0.004020 1.000 2
length{all}[23] 0.004724 0.000004 0.001318 0.008713 0.004432 1.000 2
length{all}[24] 0.000783 0.000001 0.000000 0.002366 0.000536 1.000 2
length{all}[25] 0.001267 0.000001 0.000002 0.003423 0.000995 1.000 2
length{all}[26] 0.000751 0.000001 0.000000 0.002263 0.000520 1.000 2
length{all}[27] 0.000754 0.000001 0.000000 0.002371 0.000525 1.000 2
length{all}[28] 0.016974 0.000017 0.010061 0.025387 0.016564 1.001 2
length{all}[29] 0.001507 0.000001 0.000017 0.003520 0.001278 1.000 2
length{all}[30] 0.007253 0.000006 0.002565 0.012075 0.006982 1.000 2
length{all}[31] 0.006786 0.000008 0.001881 0.012487 0.006406 1.000 2
length{all}[32] 0.003925 0.000003 0.000755 0.007281 0.003644 1.000 2
length{all}[33] 0.004027 0.000003 0.001007 0.007595 0.003735 1.001 2
length{all}[34] 0.004604 0.000004 0.001404 0.008536 0.004330 1.000 2
length{all}[35] 0.009965 0.000012 0.003611 0.016857 0.009608 1.000 2
length{all}[36] 0.003174 0.000003 0.000617 0.006460 0.002868 1.000 2
length{all}[37] 0.033374 0.000039 0.021538 0.045797 0.032965 1.000 2
length{all}[38] 0.003894 0.000003 0.001053 0.007315 0.003623 1.000 2
length{all}[39] 0.012973 0.000014 0.006581 0.020550 0.012619 1.001 2
length{all}[40] 0.005968 0.000006 0.001704 0.010617 0.005673 1.001 2
length{all}[41] 0.005762 0.000005 0.001935 0.010032 0.005513 1.000 2
length{all}[42] 0.006579 0.000006 0.002343 0.011479 0.006313 1.000 2
length{all}[43] 0.003078 0.000003 0.000561 0.006174 0.002817 1.000 2
length{all}[44] 0.002368 0.000002 0.000169 0.005035 0.002101 1.000 2
length{all}[45] 0.004966 0.000005 0.001221 0.009740 0.004624 1.000 2
length{all}[46] 0.003097 0.000003 0.000258 0.006438 0.002830 1.000 2
length{all}[47] 0.001579 0.000001 0.000025 0.003783 0.001321 1.000 2
length{all}[48] 0.001650 0.000001 0.000009 0.003956 0.001359 1.000 2
length{all}[49] 0.001565 0.000001 0.000004 0.003782 0.001308 1.000 2
length{all}[50] 0.001526 0.000001 0.000000 0.003854 0.001240 1.000 2
length{all}[51] 0.002644 0.000003 0.000136 0.005781 0.002338 1.000 2
length{all}[52] 0.001604 0.000001 0.000007 0.003939 0.001337 1.000 2
length{all}[53] 0.001216 0.000001 0.000006 0.003337 0.000925 1.000 2
length{all}[54] 0.001649 0.000001 0.000019 0.003819 0.001392 0.999 2
length{all}[55] 0.001071 0.000001 0.000000 0.003060 0.000751 1.000 2
length{all}[56] 0.000795 0.000001 0.000001 0.002382 0.000553 1.003 2
length{all}[57] 0.000782 0.000001 0.000000 0.002330 0.000536 0.999 2
length{all}[58] 0.000752 0.000001 0.000001 0.002165 0.000526 0.999 2
length{all}[59] 0.000774 0.000001 0.000000 0.002316 0.000534 0.999 2
length{all}[60] 0.001851 0.000002 0.000018 0.004670 0.001561 1.007 2
length{all}[61] 0.000784 0.000001 0.000000 0.002299 0.000538 0.999 2
length{all}[62] 0.000826 0.000001 0.000001 0.002606 0.000595 0.998 2
length{all}[63] 0.000769 0.000001 0.000001 0.002284 0.000532 1.005 2
length{all}[64] 0.000719 0.000001 0.000002 0.002248 0.000474 0.998 2
length{all}[65] 0.000806 0.000001 0.000001 0.002435 0.000547 1.000 2
length{all}[66] 0.000800 0.000001 0.000000 0.002542 0.000530 0.998 2
length{all}[67] 0.000762 0.000001 0.000000 0.002260 0.000524 0.998 2
length{all}[68] 0.000812 0.000001 0.000004 0.002454 0.000551 0.998 2
length{all}[69] 0.000772 0.000001 0.000000 0.002213 0.000528 0.998 2
length{all}[70] 0.000712 0.000001 0.000003 0.002073 0.000506 0.998 2
length{all}[71] 0.000742 0.000000 0.000002 0.002115 0.000539 0.998 2
length{all}[72] 0.000707 0.000000 0.000000 0.002140 0.000507 0.998 2
length{all}[73] 0.000764 0.000001 0.000001 0.002222 0.000516 0.998 2
length{all}[74] 0.000718 0.000000 0.000004 0.001894 0.000527 1.005 2
length{all}[75] 0.000721 0.000000 0.000003 0.002169 0.000491 1.002 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 = 0.003936
Maximum standard deviation of split frequencies = 0.015546
Average PSRF for parameter values (excluding NA and >10.0) = 1.000
Maximum PSRF for parameter values = 1.007
Clade credibility values:
/--------------------------------------------------------------------- C256 (1)
|
| /----- C135 (26)
|------------------------------100------------------------------+
| \----- C134 (27)
|
| /----------- C49 (2)
| |
| /-98-+ /----- C19 (8)
| | \-100-+
| | \----- C69 (23)
| |
| | /----- C95 (3)
| | /-100-+
| | | \----- C83 (29)
| | |
| /-100+ |----------- C177 (4)
| | | |
| | |-100+----------- C43 (7)
| | | |
| | | |----------- C22 (9)
| /-100-+ | |
| | | | \----------- C34 (19)
| | | |
| | | \---------------- C213 (16)
| /-100+ |
+ | | \--------------------- C200 (15)
| | |
| | \--------------------------- C184 (13)
| /-100+
| | | /----------- C294 (6)
| | | |
| | \---------100--------+ /----- C230 (11)
| /-100+ \-100-+
| | | \----- C225 (18)
| | |
| | | /----- C171 (22)
| /-100-+ \---------------74--------------+
| | | \----- C73 (28)
| | |
| | \------------------------------------------ C70 (20)
| /-53-+
| | | /----- C57 (10)
| | | |
| | \--------------------95--------------------+----- C78 (17)
| /-100+ |
| | | \----- C76 (25)
| | |
| /-100-+ \----------------------------------------------------- C259 (5)
| | |
| | \---------------------------------------------------------- C142 (30)
| |
\-85-+ /---------------- C252 (12)
| |
| | /----- C129 (14)
\----------------------100----------------------+ /-100-+
| | \----- C128 (24)
\-90-+
\----------- C130 (21)
Phylogram (based on average branch lengths):
/--- C256 (1)
|
| /- C135 (26)
|--+
| \- C134 (27)
|
| /-- C49 (2)
| |
| /+ /-- C19 (8)
| |\--+
| | \---- C69 (23)
| |
| | / C95 (3)
| | /---+
| | | \- C83 (29)
| | |
| /----+ |- C177 (4)
| | | |
| | |--+- C43 (7)
| | | |
| | | |- C22 (9)
| /---+ | |
| | | | \- C34 (19)
| | | |
| | | \-- C213 (16)
| /----------+ |
+ | | \----- C200 (15)
| | |
| | \----- C184 (13)
| /--------+
| | | /--------- C294 (6)
| | | |
| | \---------------------------+ /--------- C230 (11)
| /---+ \-----+
| | | \--------- C225 (18)
| | |
| | | /---- C171 (22)
| /----+ \-+
| | | \--------------- C73 (28)
| | |
| | \--------- C70 (20)
| /+
| ||/--- C57 (10)
| |||
| |\+- C78 (17)
| /--+ |
| | | \- C76 (25)
| | |
|/--+ \------ C259 (5)
|| |
|| \------ C142 (30)
||
\+ /--- C252 (12)
| |
| | /-- C129 (14)
\-+/-+
|| \- C128 (24)
\+
\--- C130 (21)
|-------| 0.010 expected changes per site
Calculating tree probabilities...
Credible sets of trees (2376 trees sampled):
50 % credible set contains 875 trees
90 % credible set contains 2076 trees
95 % credible set contains 2226 trees
99 % credible set contains 2346 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 14:39:37 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10637_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Sat Nov 19 07:41:48 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10637_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/codeml,DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10637_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 C129 1347 sites
reading seq# 2 C213 1347 sites
reading seq# 3 C200 1347 sites
reading seq# 4 C230 1347 sites
reading seq# 5 C225 1347 sites
reading seq# 6 C78 1347 sites
reading seq# 7 C34 1347 sites
reading seq# 8 C184 1347 sites
reading seq# 9 C73 1347 sites
reading seq#10 C70 1347 sites
reading seq#11 C49 1347 sites
reading seq#12 C256 1347 sites
reading seq#13 C95 1347 sites
reading seq#14 C130 1347 sites
reading seq#15 C171 1347 sites
reading seq#16 C259 1347 sites
reading seq#17 C177 1347 sites
reading seq#18 C294 1347 sites
reading seq#19 C128 1347 sites
reading seq#20 C69 1347 sites
reading seq#21 C19 1347 sites
reading seq#22 C43 1347 sites
reading seq#23 C135 1347 sites
reading seq#24 C134 1347 sites
reading seq#25 C76 1347 sites
reading seq#26 C57 1347 sites
reading seq#27 C22 1347 sites
reading seq#28 C142 1347 sites
reading seq#29 C83 1347 sites
reading seq#30 C252 1347 sitesns = 30 ls = 1347
Reading sequences, sequential format..
Reading seq # 1: C129
Reading seq # 2: C213
Reading seq # 3: C200
Reading seq # 4: C230
Reading seq # 5: C225
Reading seq # 6: C78
Reading seq # 7: C34
Reading seq # 8: C184
Reading seq # 9: C73
Reading seq #10: C70
Reading seq #11: C49
Reading seq #12: C256
Reading seq #13: C95
Reading seq #14: C130
Reading seq #15: C171
Reading seq #16: C259
Reading seq #17: C177
Reading seq #18: C294
Reading seq #19: C128
Reading seq #20: C69
Reading seq #21: C19
Reading seq #22: C43
Reading seq #23: C135
Reading seq #24: C134
Reading seq #25: C76
Reading seq #26: C57
Reading seq #27: C22
Reading seq #28: C142
Reading seq #29: C83
Reading seq #30: C252
Sites with gaps or missing data are removed.
3 ambiguity characters in seq. 1
3 ambiguity characters in seq. 2
3 ambiguity characters in seq. 3
3 ambiguity characters in seq. 6
3 ambiguity characters in seq. 7
3 ambiguity characters in seq. 8
3 ambiguity characters in seq. 9
3 ambiguity characters in seq. 10
3 ambiguity characters in seq. 11
3 ambiguity characters in seq. 12
3 ambiguity characters in seq. 13
3 ambiguity characters in seq. 14
3 ambiguity characters in seq. 15
3 ambiguity characters in seq. 16
3 ambiguity characters in seq. 17
3 ambiguity characters in seq. 19
6 ambiguity characters in seq. 20
6 ambiguity characters in seq. 21
3 ambiguity characters in seq. 22
3 ambiguity characters in seq. 23
3 ambiguity characters in seq. 24
3 ambiguity characters in seq. 25
3 ambiguity characters in seq. 26
3 ambiguity characters in seq. 27
12 ambiguity characters in seq. 28
3 ambiguity characters in seq. 29
3 ambiguity characters in seq. 30
5 sites are removed. 209 210 211 382 387
Sequences read..
Counting site patterns.. 0:00
Compressing, 222 patterns at 444 / 444 sites (100.0%), 0:00
Collecting fpatt[] & pose[], 222 patterns at 444 / 444 sites (100.0%), 0:00
Counting codons..
3480 bytes for distance
216672 bytes for conP
19536 bytes for fhK
5000000 bytes for space
Model 1: NearlyNeutral
TREE # 1
(12, (23, 24), (((((((((((11, (21, 20)), ((13, 29), 17, 22, 27, 7), 2), 3), 8), (18, (4, 5))), (15, 9)), 10), (26, 6, 25)), 16), 28), (30, ((1, 19), 14)))); MP score: 258
2491728 bytes for conP, adjusted
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
38
0.037183 0.030918 0.084709 0.087875 0.031885 0.052544 0.085725 0.028234 0.106389 0.083899 0.046857 0.015935 0.103562 0.011455 0.023169 0.013980 0.100089 0.085304 0.012818 0.015067 0.053812 0.045812 0.025822 0.100025 0.076348 0.010331 0.039845 0.108665 0.023203 0.018406 0.022675 0.058956 0.068540 0.108924 0.076085 0.025490 0.106813 0.077618 0.030779 0.063157 0.098437 0.038398 0.097090 0.036971 0.051691 0.086911 0.051135 0.093990 0.108043 0.039799 0.011100 0.088260 0.300000 0.752280 0.540351
ntime & nrate & np: 52 2 55
Bounds (np=55):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.000010 0.000001
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 0.999990 1.000000
Qfactor_NS = 11.559706
np = 55
lnL0 = -4500.603925
Iterating by ming2
Initial: fx= 4500.603925
x= 0.03718 0.03092 0.08471 0.08787 0.03188 0.05254 0.08572 0.02823 0.10639 0.08390 0.04686 0.01593 0.10356 0.01146 0.02317 0.01398 0.10009 0.08530 0.01282 0.01507 0.05381 0.04581 0.02582 0.10003 0.07635 0.01033 0.03985 0.10867 0.02320 0.01841 0.02267 0.05896 0.06854 0.10892 0.07608 0.02549 0.10681 0.07762 0.03078 0.06316 0.09844 0.03840 0.09709 0.03697 0.05169 0.08691 0.05114 0.09399 0.10804 0.03980 0.01110 0.08826 0.30000 0.75228 0.54035
1 h-m-p 0.0000 0.0000 2563.0278 ++ 4345.018592 m 0.0000 60 | 1/55
2 h-m-p 0.0000 0.0000 8139.2438 ++ 4336.002409 m 0.0000 118 | 2/55
3 h-m-p 0.0000 0.0000 7944.8565 ++ 4109.041206 m 0.0000 176 | 3/55
4 h-m-p 0.0000 0.0000 17484.7903 ++ 4099.033562 m 0.0000 234 | 4/55
5 h-m-p 0.0000 0.0000 204274.1301 ++ 4059.831220 m 0.0000 292 | 5/55
6 h-m-p 0.0000 0.0000 298501.4626 ++ 3875.604276 m 0.0000 350 | 6/55
7 h-m-p 0.0000 0.0000 8174.7165 ++ 3834.473086 m 0.0000 408 | 7/55
8 h-m-p 0.0000 0.0000 6012.4884 ++ 3823.544030 m 0.0000 466 | 8/55
9 h-m-p 0.0000 0.0000 2607.6921 ++ 3801.663429 m 0.0000 524 | 9/55
10 h-m-p 0.0000 0.0000 842.3092 ++ 3793.149752 m 0.0000 582 | 9/55
11 h-m-p 0.0000 0.0000 2825.4255 +YYYYCCCCC 3782.194536 8 0.0000 653 | 9/55
12 h-m-p 0.0000 0.0000 1322.8484 +YYYCCC 3774.483827 5 0.0000 719 | 9/55
13 h-m-p 0.0000 0.0000 1428.6856 +YYCCCC 3766.506020 5 0.0000 786 | 9/55
14 h-m-p 0.0000 0.0001 1250.5841 +YYCCC 3752.575044 4 0.0001 851 | 9/55
15 h-m-p 0.0000 0.0000 2322.4736 ++ 3728.849265 m 0.0000 909 | 10/55
16 h-m-p 0.0000 0.0000 2352.9083 +YCCC 3704.707203 3 0.0000 974 | 10/55
17 h-m-p 0.0000 0.0000 20903.9254 +YYCCC 3692.530038 4 0.0000 1039 | 10/55
18 h-m-p 0.0000 0.0001 1405.8780 +YYYCCC 3669.200657 5 0.0001 1105 | 10/55
19 h-m-p 0.0000 0.0001 690.6147 +CYYCYCCC 3655.883066 7 0.0001 1175 | 10/55
20 h-m-p 0.0000 0.0000 15079.9314 +YYCCC 3649.322370 4 0.0000 1240 | 10/55
21 h-m-p 0.0000 0.0001 463.6858 +YCYCCC 3634.646890 5 0.0001 1307 | 10/55
22 h-m-p 0.0000 0.0000 1130.1209 +YYCCC 3630.087594 4 0.0000 1372 | 10/55
23 h-m-p 0.0000 0.0001 669.5601 +YCYYCCC 3621.900325 6 0.0001 1440 | 10/55
24 h-m-p 0.0000 0.0001 1704.1513 YCCCC 3612.183467 4 0.0000 1505 | 10/55
25 h-m-p 0.0000 0.0000 1456.4096 +YYCCCC 3603.455936 5 0.0000 1572 | 10/55
26 h-m-p 0.0000 0.0001 920.1081 +YCYCCC 3597.819471 5 0.0000 1639 | 9/55
27 h-m-p 0.0000 0.0000 767.0668 YCCC 3595.717748 3 0.0000 1702 | 9/55
28 h-m-p 0.0000 0.0000 847.1431 YCCCC 3593.659583 4 0.0000 1767 | 9/55
29 h-m-p 0.0000 0.0000 1095.5513 +YCCC 3590.251897 3 0.0000 1831 | 9/55
30 h-m-p 0.0000 0.0001 345.5002 +YYCC 3587.656905 3 0.0001 1894 | 9/55
31 h-m-p 0.0000 0.0000 1654.3361 YCCCC 3586.237432 4 0.0000 1959 | 9/55
32 h-m-p 0.0000 0.0000 1590.6907 YCCCC 3582.571582 4 0.0000 2024 | 9/55
33 h-m-p 0.0000 0.0000 1964.7858 +YYCCC 3578.782078 4 0.0000 2089 | 9/55
34 h-m-p 0.0000 0.0001 957.4566 +YCCC 3574.122191 3 0.0000 2153 | 9/55
35 h-m-p 0.0000 0.0000 825.4007 +YYCCC 3570.702961 4 0.0000 2218 | 9/55
36 h-m-p 0.0000 0.0001 619.3318 CYCCC 3566.932926 4 0.0000 2283 | 9/55
37 h-m-p 0.0001 0.0004 103.6455 YYC 3566.540155 2 0.0001 2343 | 9/55
38 h-m-p 0.0001 0.0005 62.8456 YCC 3566.392552 2 0.0001 2404 | 9/55
39 h-m-p 0.0001 0.0007 47.9510 YCC 3566.284942 2 0.0001 2465 | 9/55
40 h-m-p 0.0001 0.0012 49.6609 +YCC 3565.946486 2 0.0002 2527 | 9/55
41 h-m-p 0.0001 0.0004 48.1349 YCC 3565.606332 2 0.0002 2588 | 9/55
42 h-m-p 0.0001 0.0006 67.6211 YYC 3565.313665 2 0.0001 2648 | 9/55
43 h-m-p 0.0001 0.0005 80.5756 +CCCC 3563.139502 3 0.0003 2713 | 9/55
44 h-m-p 0.0000 0.0002 135.8186 CYCCC 3561.991365 4 0.0001 2778 | 9/55
45 h-m-p 0.0001 0.0003 208.2199 YCCCC 3559.328539 4 0.0001 2843 | 9/55
46 h-m-p 0.0000 0.0001 113.3254 ++ 3557.160883 m 0.0001 2901 | 9/55
47 h-m-p 0.0000 0.0002 171.6288 +YYYCCC 3553.491981 5 0.0001 2967 | 9/55
48 h-m-p 0.0000 0.0001 133.7157 YCYCCC 3552.579612 5 0.0000 3033 | 9/55
49 h-m-p 0.0000 0.0001 416.7118 +YYYCCC 3550.017126 5 0.0000 3099 | 9/55
50 h-m-p 0.0000 0.0001 68.5062 YCCCC 3549.811367 4 0.0000 3164 | 9/55
51 h-m-p 0.0015 0.0343 2.2048 ++YYYC 3540.008739 3 0.0228 3227 | 9/55
52 h-m-p 0.0037 0.0183 2.5100 +YYYCCC 3531.050456 5 0.0136 3293 | 9/55
53 h-m-p 0.0172 0.0860 0.5368 ++ 3517.158518 m 0.0860 3351 | 9/55
54 h-m-p -0.0000 -0.0000 2.6145
h-m-p: -1.27252620e-19 -6.36263098e-19 2.61449568e+00 3517.158518
.. | 9/55
55 h-m-p 0.0000 0.0000 14747.2469 CYCYYCC 3513.623445 6 0.0000 3520 | 9/55
56 h-m-p 0.0000 0.0000 1695.7081 +YYCYC 3498.243426 4 0.0000 3584 | 9/55
57 h-m-p 0.0000 0.0000 933.7773 +YYYCC 3490.073224 4 0.0000 3648 | 9/55
58 h-m-p 0.0000 0.0000 1307.3597 +YYCCC 3483.216364 4 0.0000 3713 | 9/55
59 h-m-p 0.0000 0.0000 1040.8938 +YYCCC 3476.955842 4 0.0000 3778 | 9/55
60 h-m-p 0.0000 0.0000 1260.7250 YCCC 3475.217311 3 0.0000 3841 | 9/55
61 h-m-p 0.0000 0.0001 893.5323 +YCCC 3471.185154 3 0.0000 3905 | 9/55
62 h-m-p 0.0000 0.0000 952.5660 YCCC 3469.385063 3 0.0000 3968 | 9/55
63 h-m-p 0.0000 0.0000 499.4895 CCCC 3468.575347 3 0.0000 4032 | 9/55
64 h-m-p 0.0000 0.0000 928.5523 CCC 3468.337652 2 0.0000 4094 | 9/55
65 h-m-p 0.0000 0.0001 223.6685 YCCC 3468.046644 3 0.0000 4157 | 9/55
66 h-m-p 0.0000 0.0001 363.9018 CCCC 3467.670017 3 0.0000 4221 | 9/55
67 h-m-p 0.0000 0.0001 296.5577 YCCCC 3467.141312 4 0.0000 4286 | 9/55
68 h-m-p 0.0000 0.0002 675.2935 +YYC 3465.523577 2 0.0001 4347 | 9/55
69 h-m-p 0.0000 0.0002 1369.6153 CCC 3463.718248 2 0.0000 4409 | 9/55
70 h-m-p 0.0000 0.0001 1455.4506 YCYCCC 3461.588165 5 0.0000 4475 | 9/55
71 h-m-p 0.0000 0.0001 2159.1683 CC 3460.087671 1 0.0000 4535 | 9/55
72 h-m-p 0.0000 0.0000 1283.9995 +YYCCC 3458.538434 4 0.0000 4600 | 9/55
73 h-m-p 0.0000 0.0001 1639.8946 +YCCC 3455.064550 3 0.0001 4664 | 9/55
74 h-m-p 0.0000 0.0001 2274.8134 +YCCC 3451.127368 3 0.0001 4728 | 9/55
75 h-m-p 0.0000 0.0001 3692.2589 +YYCCC 3446.967800 4 0.0000 4793 | 9/55
76 h-m-p 0.0000 0.0001 2784.9472 YCYC 3442.694962 3 0.0000 4855 | 9/55
77 h-m-p 0.0000 0.0001 1670.2727 +YYYCCC 3438.857415 5 0.0001 4921 | 9/55
78 h-m-p 0.0000 0.0001 3920.4781 YCCC 3435.318410 3 0.0000 4984 | 9/55
79 h-m-p 0.0000 0.0002 2436.8756 CC 3433.229980 1 0.0000 5044 | 9/55
80 h-m-p 0.0000 0.0002 854.0126 CCCC 3431.931017 3 0.0000 5108 | 9/55
81 h-m-p 0.0001 0.0003 324.1784 CCCC 3431.400303 3 0.0001 5172 | 9/55
82 h-m-p 0.0001 0.0005 139.1951 CYC 3431.305984 2 0.0000 5233 | 9/55
83 h-m-p 0.0001 0.0017 34.0230 YC 3431.285020 1 0.0000 5292 | 9/55
84 h-m-p 0.0001 0.0019 18.9005 YC 3431.280209 1 0.0000 5351 | 9/55
85 h-m-p 0.0001 0.0043 8.5041 YC 3431.278850 1 0.0000 5410 | 9/55
86 h-m-p 0.0001 0.0147 4.0560 CC 3431.277007 1 0.0001 5470 | 9/55
87 h-m-p 0.0001 0.0061 5.5716 C 3431.274634 0 0.0001 5528 | 9/55
88 h-m-p 0.0001 0.0042 6.0827 YC 3431.264556 1 0.0002 5587 | 9/55
89 h-m-p 0.0000 0.0037 24.1631 YC 3431.234811 1 0.0001 5646 | 9/55
90 h-m-p 0.0001 0.0031 46.2725 +YC 3430.917321 1 0.0004 5706 | 9/55
91 h-m-p 0.0000 0.0010 623.1971 +YCCC 3428.448460 3 0.0002 5770 | 9/55
92 h-m-p 0.0000 0.0002 2055.8976 CCCC 3426.516690 3 0.0001 5834 | 9/55
93 h-m-p 0.0001 0.0004 1571.0727 CCCC 3424.337037 3 0.0001 5898 | 9/55
94 h-m-p 0.0000 0.0002 862.8861 CYC 3423.917258 2 0.0000 5959 | 9/55
95 h-m-p 0.0002 0.0010 59.7761 YC 3423.892869 1 0.0000 6018 | 9/55
96 h-m-p 0.0001 0.0016 17.5008 CC 3423.888356 1 0.0000 6078 | 9/55
97 h-m-p 0.0001 0.0065 9.4600 YC 3423.886901 1 0.0000 6137 | 9/55
98 h-m-p 0.0001 0.0078 5.5444 YC 3423.886140 1 0.0001 6196 | 9/55
99 h-m-p 0.0002 0.0264 1.4389 YC 3423.883966 1 0.0003 6255 | 9/55
100 h-m-p 0.0001 0.0047 8.1906 YC 3423.876363 1 0.0001 6314 | 9/55
101 h-m-p 0.0001 0.0274 33.5736 ++++YCCC 3421.006002 3 0.0106 6381 | 9/55
102 h-m-p 0.0001 0.0005 607.5910 CCCCC 3420.386477 4 0.0001 6447 | 9/55
103 h-m-p 0.1848 3.0300 0.3752 +CCCC 3418.793925 3 0.8008 6512 | 9/55
104 h-m-p 0.8988 4.4941 0.2667 YCCC 3417.295504 3 1.7982 6621 | 9/55
105 h-m-p 0.8113 4.0565 0.1859 CC 3416.922769 1 1.0663 6727 | 9/55
106 h-m-p 1.0278 5.1389 0.1194 CCC 3416.721027 2 1.2621 6835 | 9/55
107 h-m-p 1.6000 8.0000 0.0433 C 3416.651122 0 1.6000 6939 | 9/55
108 h-m-p 1.6000 8.0000 0.0071 CC 3416.612002 1 2.1573 7045 | 9/55
109 h-m-p 0.4794 8.0000 0.0320 +CC 3416.564299 1 2.7002 7152 | 9/55
110 h-m-p 1.6000 8.0000 0.0249 YCC 3416.506509 2 2.7038 7259 | 9/55
111 h-m-p 1.6000 8.0000 0.0209 CC 3416.465412 1 1.6093 7365 | 9/55
112 h-m-p 0.9348 8.0000 0.0359 CC 3416.456757 1 1.0262 7471 | 9/55
113 h-m-p 1.6000 8.0000 0.0022 YC 3416.455764 1 1.2525 7576 | 9/55
114 h-m-p 1.6000 8.0000 0.0012 Y 3416.455637 0 1.1816 7680 | 9/55
115 h-m-p 1.6000 8.0000 0.0001 C 3416.455617 0 1.3633 7784 | 9/55
116 h-m-p 1.6000 8.0000 0.0001 Y 3416.455613 0 1.1895 7888 | 9/55
117 h-m-p 1.6000 8.0000 0.0000 Y 3416.455613 0 1.0480 7992 | 9/55
118 h-m-p 1.6000 8.0000 0.0000 C 3416.455613 0 1.7119 8096 | 9/55
119 h-m-p 1.6000 8.0000 0.0000 C 3416.455613 0 0.5733 8200 | 9/55
120 h-m-p 0.5266 8.0000 0.0000 C 3416.455613 0 0.4535 8304 | 9/55
121 h-m-p 0.5860 8.0000 0.0000 Y 3416.455613 0 0.4090 8408 | 9/55
122 h-m-p 0.5661 8.0000 0.0000 C 3416.455613 0 0.5865 8512 | 9/55
123 h-m-p 1.2957 8.0000 0.0000 Y 3416.455613 0 0.6143 8616 | 9/55
124 h-m-p 1.2548 8.0000 0.0000 +Y 3416.455613 0 4.0280 8721 | 9/55
125 h-m-p 1.3434 8.0000 0.0000 C 3416.455613 0 0.3359 8825 | 9/55
126 h-m-p 0.5026 8.0000 0.0000 -------------C 3416.455613 0 0.0000 8942
Out..
lnL = -3416.455613
8943 lfun, 26829 eigenQcodon, 930072 P(t)
end of tree file.
Time used: 8:12
Model 2: PositiveSelection
TREE # 1
(12, (23, 24), (((((((((((11, (21, 20)), ((13, 29), 17, 22, 27, 7), 2), 3), 8), (18, (4, 5))), (15, 9)), 10), (26, 6, 25)), 16), 28), (30, ((1, 19), 14)))); MP score: 258
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
38
0.033351 0.044726 0.010183 0.058028 0.033061 0.023042 0.089324 0.068200 0.109032 0.017224 0.057836 0.105700 0.027401 0.102081 0.075684 0.020460 0.093932 0.012359 0.032222 0.070770 0.019553 0.015534 0.036693 0.048564 0.058856 0.014204 0.049638 0.067892 0.076226 0.088998 0.097422 0.065014 0.069301 0.067958 0.087044 0.033544 0.054433 0.083318 0.013430 0.093101 0.093862 0.051627 0.026397 0.064887 0.019261 0.088143 0.099471 0.102640 0.081374 0.041453 0.017743 0.102391 4.049351 1.003955 0.596146 0.367847 1.506618
ntime & nrate & np: 52 3 57
Bounds (np=57):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 -99.000000 -99.000000 0.000001 1.000000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 99.000000 99.000000 1.000000 999.000000
Qfactor_NS = 3.688674
np = 57
lnL0 = -4072.713643
Iterating by ming2
Initial: fx= 4072.713643
x= 0.03335 0.04473 0.01018 0.05803 0.03306 0.02304 0.08932 0.06820 0.10903 0.01722 0.05784 0.10570 0.02740 0.10208 0.07568 0.02046 0.09393 0.01236 0.03222 0.07077 0.01955 0.01553 0.03669 0.04856 0.05886 0.01420 0.04964 0.06789 0.07623 0.08900 0.09742 0.06501 0.06930 0.06796 0.08704 0.03354 0.05443 0.08332 0.01343 0.09310 0.09386 0.05163 0.02640 0.06489 0.01926 0.08814 0.09947 0.10264 0.08137 0.04145 0.01774 0.10239 4.04935 1.00396 0.59615 0.36785 1.50662
1 h-m-p 0.0000 0.0000 1908.2027 ++ 3962.966762 m 0.0000 62 | 1/57
2 h-m-p 0.0000 0.0000 11415.4224 ++ 3926.378155 m 0.0000 122 | 2/57
3 h-m-p 0.0000 0.0000 12795.5909 ++ 3916.089198 m 0.0000 182 | 3/57
4 h-m-p 0.0000 0.0000 564575.6321 ++ 3900.868307 m 0.0000 242 | 4/57
5 h-m-p 0.0000 0.0000 4332.7104 ++ 3851.371170 m 0.0000 302 | 4/57
6 h-m-p 0.0000 0.0000 33393.3966 +CYCCCYC 3764.253271 6 0.0000 374 | 4/57
7 h-m-p 0.0000 0.0000 39289.7220 ++ 3751.233570 m 0.0000 434 | 5/57
8 h-m-p 0.0000 0.0000 24539.4906 ++ 3745.918541 m 0.0000 494 | 6/57
9 h-m-p 0.0000 0.0000 4338.7932 ++ 3728.341086 m 0.0000 554 | 7/57
10 h-m-p 0.0000 0.0000 4147.3904 ++ 3717.935661 m 0.0000 614 | 8/57
11 h-m-p 0.0000 0.0000 6033.6938 ++ 3716.355651 m 0.0000 674 | 9/57
12 h-m-p 0.0000 0.0000 2786.5146 ++ 3652.024366 m 0.0000 734 | 8/57
13 h-m-p -0.0000 -0.0000 4793.8985
h-m-p: -2.13868877e-22 -1.06934439e-21 4.79389852e+03 3652.024366
.. | 8/57
14 h-m-p 0.0000 0.0000 234708.3108 --CYCCYC 3645.792519 5 0.0000 862 | 8/57
15 h-m-p 0.0000 0.0000 5850.8043 ++ 3642.664895 m 0.0000 922 | 9/57
16 h-m-p 0.0000 0.0000 1918.4803 +YYCYCC 3634.861921 5 0.0000 990 | 9/57
17 h-m-p 0.0000 0.0000 8085.2350 ++ 3607.112256 m 0.0000 1050 | 9/57
18 h-m-p 0.0000 0.0000 4510.8590 ++ 3577.816531 m 0.0000 1110 | 9/57
19 h-m-p 0.0000 0.0000 37814.7290 ++ 3573.165336 m 0.0000 1170 | 9/57
20 h-m-p 0.0000 0.0000 62021.1558
h-m-p: 2.05478374e-24 1.02739187e-23 6.20211558e+04 3573.165336
.. | 9/57
21 h-m-p 0.0000 0.0000 63587.5868 -YCYYYCC 3562.999416 6 0.0000 1296 | 9/57
22 h-m-p 0.0000 0.0000 2742.6530 YCCCC 3548.035882 4 0.0000 1363 | 9/57
23 h-m-p 0.0000 0.0000 1040.0256 ++ 3520.823503 m 0.0000 1423 | 9/57
24 h-m-p 0.0000 0.0000 123185.3573 +YCYCC 3518.995596 4 0.0000 1490 | 9/57
25 h-m-p 0.0000 0.0000 5199.9125 +YYYCC 3513.853977 4 0.0000 1556 | 9/57
26 h-m-p 0.0000 0.0000 5654.1972 YCCC 3511.774828 3 0.0000 1621 | 9/57
27 h-m-p 0.0000 0.0000 1338.9136 +YYCCC 3508.502539 4 0.0000 1688 | 9/57
28 h-m-p 0.0000 0.0000 960.8476 YCCC 3505.969709 3 0.0000 1753 | 9/57
29 h-m-p 0.0000 0.0001 682.1305 CCCC 3503.548153 3 0.0000 1819 | 9/57
30 h-m-p 0.0000 0.0001 329.6964 +YCYCC 3502.449244 4 0.0000 1886 | 9/57
31 h-m-p 0.0000 0.0001 984.3182 CYC 3501.509369 2 0.0000 1949 | 9/57
32 h-m-p 0.0000 0.0001 507.7518 YCCC 3500.394547 3 0.0000 2014 | 9/57
33 h-m-p 0.0000 0.0001 878.4846 CCC 3499.306382 2 0.0000 2078 | 9/57
34 h-m-p 0.0000 0.0001 1087.2452 +YCCC 3496.277719 3 0.0000 2144 | 9/57
35 h-m-p 0.0000 0.0001 2237.9194 +YYYCCC 3487.873126 5 0.0001 2212 | 9/57
36 h-m-p 0.0000 0.0000 12342.4055 ++ 3480.458768 m 0.0000 2272 | 10/57
37 h-m-p 0.0000 0.0002 622.7122 CCC 3479.508656 2 0.0001 2336 | 10/57
38 h-m-p 0.0000 0.0001 1021.7843 CCC 3478.742227 2 0.0000 2400 | 10/57
39 h-m-p 0.0000 0.0001 794.5110 YCCCC 3477.559229 4 0.0001 2467 | 10/57
40 h-m-p 0.0000 0.0002 1729.8263 CYCC 3476.234426 3 0.0000 2532 | 10/57
41 h-m-p 0.0000 0.0003 1184.0353 CYCC 3475.142072 3 0.0000 2597 | 10/57
42 h-m-p 0.0001 0.0003 271.3858 CCC 3474.776702 2 0.0001 2661 | 10/57
43 h-m-p 0.0001 0.0005 102.9195 YCC 3474.623860 2 0.0001 2724 | 10/57
44 h-m-p 0.0001 0.0003 136.0687 CCCC 3474.427457 3 0.0001 2790 | 10/57
45 h-m-p 0.0000 0.0005 264.9666 +YCCCC 3473.549459 4 0.0002 2858 | 10/57
46 h-m-p 0.0000 0.0001 1144.5319 CCC 3472.958697 2 0.0000 2922 | 10/57
47 h-m-p 0.0000 0.0002 1062.6074 +YYYC 3470.331378 3 0.0001 2986 | 10/57
48 h-m-p 0.0001 0.0003 2067.6101 YCCCC 3465.732184 4 0.0001 3053 | 10/57
49 h-m-p 0.0000 0.0002 2290.3565 YCCCC 3462.545682 4 0.0001 3120 | 10/57
50 h-m-p 0.0001 0.0004 684.3053 YCCC 3462.022528 3 0.0000 3185 | 10/57
51 h-m-p 0.0001 0.0006 197.9987 YCY 3461.769014 2 0.0001 3248 | 9/57
52 h-m-p 0.0001 0.0014 104.2465 CYC 3461.147539 2 0.0001 3311 | 9/57
53 h-m-p 0.0002 0.0010 57.6372 CC 3461.071453 1 0.0001 3373 | 9/57
54 h-m-p 0.0001 0.0018 27.1428 CC 3461.056289 1 0.0000 3435 | 9/57
55 h-m-p 0.0002 0.0110 8.1302 YC 3461.030360 1 0.0003 3496 | 9/57
56 h-m-p 0.0000 0.0018 57.3923 +CCC 3460.913207 2 0.0002 3561 | 9/57
57 h-m-p 0.0001 0.0012 135.4296 +YC 3460.611359 1 0.0002 3623 | 9/57
58 h-m-p 0.0000 0.0004 630.8213 ++ 3457.801507 m 0.0004 3683 | 10/57
59 h-m-p 0.0001 0.0004 1675.4568 +YCCC 3452.414886 3 0.0002 3749 | 10/57
60 h-m-p 0.0000 0.0001 3406.5170 +YYCC 3447.494811 3 0.0001 3814 | 10/57
61 h-m-p 0.0000 0.0000 2848.7792 ++ 3445.764246 m 0.0000 3874 | 10/57
62 h-m-p -0.0000 -0.0000 777.6737
h-m-p: -1.58459819e-21 -7.92299095e-21 7.77673659e+02 3445.764246
.. | 10/57
63 h-m-p 0.0000 0.0000 4542.0887 YCCYC 3443.272328 4 0.0000 3998 | 10/57
64 h-m-p 0.0000 0.0000 978.2055 +YYYCC 3432.637867 4 0.0000 4064 | 10/57
65 h-m-p 0.0000 0.0000 1848.7685 +YYCCC 3430.860732 4 0.0000 4131 | 10/57
66 h-m-p 0.0000 0.0000 915.6488 +YCC 3428.472042 2 0.0000 4195 | 10/57
67 h-m-p 0.0000 0.0001 609.0992 YCCCC 3425.768825 4 0.0000 4262 | 10/57
68 h-m-p 0.0000 0.0000 322.5809 YCCC 3425.353372 3 0.0000 4327 | 10/57
69 h-m-p 0.0000 0.0001 264.0311 CYC 3425.083965 2 0.0000 4390 | 10/57
70 h-m-p 0.0000 0.0001 266.7915 CCCC 3424.828703 3 0.0000 4456 | 10/57
71 h-m-p 0.0000 0.0002 213.7392 CCC 3424.699171 2 0.0000 4520 | 10/57
72 h-m-p 0.0000 0.0001 146.2127 CYC 3424.605027 2 0.0000 4583 | 10/57
73 h-m-p 0.0000 0.0002 122.2437 CCC 3424.510122 2 0.0000 4647 | 10/57
74 h-m-p 0.0000 0.0002 109.0060 YCC 3424.461170 2 0.0000 4710 | 10/57
75 h-m-p 0.0000 0.0003 63.3447 YC 3424.439364 1 0.0000 4771 | 10/57
76 h-m-p 0.0000 0.0003 47.2070 YC 3424.425938 1 0.0000 4832 | 10/57
77 h-m-p 0.0000 0.0011 57.4511 YC 3424.401757 1 0.0000 4893 | 10/57
78 h-m-p 0.0000 0.0010 100.1566 YC 3424.350634 1 0.0001 4954 | 10/57
79 h-m-p 0.0000 0.0006 155.7203 YC 3424.235475 1 0.0001 5015 | 10/57
80 h-m-p 0.0000 0.0004 549.5485 +YCC 3423.919820 2 0.0001 5079 | 10/57
81 h-m-p 0.0000 0.0001 1486.9389 CCC 3423.558219 2 0.0000 5143 | 10/57
82 h-m-p 0.0000 0.0001 1699.5256 CCCC 3423.193442 3 0.0000 5209 | 10/57
83 h-m-p 0.0000 0.0003 1644.7848 YC 3422.272616 1 0.0001 5270 | 10/57
84 h-m-p 0.0000 0.0002 2329.9974 YC 3421.726667 1 0.0000 5331 | 10/57
85 h-m-p 0.0001 0.0003 1220.9993 CCCC 3420.993365 3 0.0001 5397 | 10/57
86 h-m-p 0.0000 0.0001 2423.6413 CCCC 3420.137934 3 0.0000 5463 | 10/57
87 h-m-p 0.0000 0.0003 2959.7335 YC 3418.760160 1 0.0001 5524 | 10/57
88 h-m-p 0.0001 0.0003 918.6198 YC 3418.544143 1 0.0000 5585 | 10/57
89 h-m-p 0.0001 0.0003 134.4904 YC 3418.515102 1 0.0000 5646 | 10/57
90 h-m-p 0.0001 0.0031 34.2350 CC 3418.507292 1 0.0000 5708 | 10/57
91 h-m-p 0.0001 0.0040 11.8023 CC 3418.505502 1 0.0000 5770 | 10/57
92 h-m-p 0.0001 0.0143 4.3213 YC 3418.505032 1 0.0001 5831 | 10/57
93 h-m-p 0.0001 0.0283 3.5809 +YC 3418.504170 1 0.0002 5893 | 10/57
94 h-m-p 0.0001 0.0124 13.3700 YC 3418.502217 1 0.0001 5954 | 10/57
95 h-m-p 0.0000 0.0121 34.7892 +YC 3418.489869 1 0.0003 6016 | 10/57
96 h-m-p 0.0000 0.0040 237.1813 +CC 3418.413284 1 0.0003 6079 | 10/57
97 h-m-p 0.0000 0.0019 1388.5151 +CCC 3418.082692 2 0.0002 6144 | 10/57
98 h-m-p 0.0001 0.0006 4433.6149 CCC 3417.542508 2 0.0001 6208 | 10/57
99 h-m-p 0.0001 0.0005 6549.8180 YYC 3417.110984 2 0.0001 6270 | 10/57
100 h-m-p 0.0004 0.0020 282.0032 -YC 3417.096832 1 0.0000 6332 | 10/57
101 h-m-p 0.0003 0.0028 37.2727 -CC 3417.095585 1 0.0000 6395 | 10/57
102 h-m-p 0.0006 0.0151 1.8820 -Y 3417.095488 0 0.0001 6456 | 10/57
103 h-m-p 0.0001 0.0632 0.9501 C 3417.095388 0 0.0001 6516 | 9/57
104 h-m-p 0.0001 0.0340 1.1754 YC 3417.095169 1 0.0002 6624 | 9/57
105 h-m-p 0.0001 0.0539 5.7054 ++CC 3417.085129 1 0.0015 6688 | 9/57
106 h-m-p 0.0000 0.0061 211.2791 ++CCC 3416.910322 2 0.0007 6754 | 9/57
107 h-m-p 0.0001 0.0010 1234.7270 YC 3416.806446 1 0.0001 6815 | 9/57
108 h-m-p 0.0001 0.0005 656.8961 CC 3416.777484 1 0.0000 6877 | 9/57
109 h-m-p 0.0004 0.0037 57.7886 YC 3416.773318 1 0.0001 6938 | 9/57
110 h-m-p 0.0160 8.0000 0.2468 +++CCC 3416.510243 2 1.6618 7005 | 9/57
111 h-m-p 0.8392 7.5269 0.4888 CCC 3416.381737 2 0.7255 7117 | 9/57
112 h-m-p 1.1057 5.5283 0.1889 YCC 3416.278400 2 0.6064 7228 | 9/57
113 h-m-p 0.6915 8.0000 0.1656 YC 3416.215085 1 1.4848 7337 | 9/57
114 h-m-p 1.6000 8.0000 0.1298 CCCC 3416.145980 3 2.1189 7451 | 9/57
115 h-m-p 1.5723 7.8613 0.1280 YC 3416.131986 1 0.9533 7560 | 9/57
116 h-m-p 1.6000 8.0000 0.0409 C 3416.128549 0 1.4531 7668 | 9/57
117 h-m-p 0.9742 8.0000 0.0610 +CC 3416.120673 1 4.4793 7779 | 9/57
118 h-m-p 1.5437 8.0000 0.1770 YCCC 3416.101761 3 3.0943 7892 | 9/57
119 h-m-p 1.6000 8.0000 0.1560 CCC 3416.088967 2 1.2024 8004 | 9/57
120 h-m-p 0.3849 8.0000 0.4872 CCC 3416.084314 2 0.5224 8116 | 9/57
121 h-m-p 0.7714 8.0000 0.3299 CC 3416.077065 1 1.0142 8226 | 9/57
122 h-m-p 1.6000 8.0000 0.1319 CYC 3416.070285 2 2.2068 8337 | 9/57
123 h-m-p 0.7485 8.0000 0.3890 C 3416.067277 0 0.7485 8445 | 9/57
124 h-m-p 0.8790 8.0000 0.3313 CC 3416.063695 1 1.0969 8555 | 9/57
125 h-m-p 1.3934 8.0000 0.2608 CC 3416.060987 1 1.7555 8665 | 9/57
126 h-m-p 1.6000 8.0000 0.1631 YC 3416.059011 1 1.1059 8774 | 9/57
127 h-m-p 0.4195 8.0000 0.4300 +Y 3416.057247 0 1.3712 8883 | 9/57
128 h-m-p 1.6000 8.0000 0.2933 YC 3416.056171 1 2.5419 8992 | 9/57
129 h-m-p 1.6000 8.0000 0.2402 C 3416.055405 0 2.0437 9100 | 9/57
130 h-m-p 1.2507 8.0000 0.3925 C 3416.055068 0 1.5227 9208 | 9/57
131 h-m-p 1.6000 8.0000 0.2925 C 3416.054896 0 1.6000 9316 | 9/57
132 h-m-p 1.0026 8.0000 0.4667 C 3416.054774 0 1.4561 9424 | 9/57
133 h-m-p 1.6000 8.0000 0.3205 C 3416.054694 0 2.3290 9532 | 9/57
134 h-m-p 1.6000 8.0000 0.3824 C 3416.054653 0 1.8714 9640 | 9/57
135 h-m-p 1.6000 8.0000 0.3416 C 3416.054639 0 1.9578 9748 | 9/57
136 h-m-p 1.6000 8.0000 0.3773 C 3416.054630 0 1.9988 9856 | 9/57
137 h-m-p 1.6000 8.0000 0.4022 C 3416.054625 0 2.1496 9964 | 9/57
138 h-m-p 1.6000 8.0000 0.3363 C 3416.054624 0 1.5677 10072 | 9/57
139 h-m-p 1.2640 8.0000 0.4171 Y 3416.054623 0 2.1432 10180 | 9/57
140 h-m-p 1.6000 8.0000 0.4527 C 3416.054622 0 2.0204 10288 | 9/57
141 h-m-p 1.6000 8.0000 0.2629 C 3416.054622 0 1.2926 10396 | 9/57
142 h-m-p 0.7700 8.0000 0.4413 +Y 3416.054622 0 2.1061 10505 | 9/57
143 h-m-p 1.6000 8.0000 0.5038 +Y 3416.054622 0 4.0723 10614 | 9/57
144 h-m-p 1.6000 8.0000 0.0093 C 3416.054622 0 0.3392 10722 | 9/57
145 h-m-p 0.0160 8.0000 0.2273 Y 3416.054622 0 0.0160 10830 | 9/57
146 h-m-p 0.0160 8.0000 0.8665 Y 3416.054622 0 0.0076 10938 | 9/57
147 h-m-p 0.0763 8.0000 0.0865 C 3416.054622 0 0.0191 11046 | 9/57
148 h-m-p 0.0694 8.0000 0.0238 ------------Y 3416.054622 0 0.0000 11166 | 9/57
149 h-m-p 0.0160 8.0000 0.0029 ----------C 3416.054622 0 0.0000 11284 | 9/57
150 h-m-p 0.0160 8.0000 0.0229 -------------.. | 9/57
151 h-m-p 0.0002 0.0841 0.0649 ---------- | 9/57
152 h-m-p 0.0002 0.0841 0.0649 ----------
Out..
lnL = -3416.054622
11636 lfun, 46544 eigenQcodon, 1815216 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) = -3426.487636 S = -3279.593247 -139.782538
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 222 patterns 24:12
did 20 / 222 patterns 24:12
did 30 / 222 patterns 24:12
did 40 / 222 patterns 24:12
did 50 / 222 patterns 24:12
did 60 / 222 patterns 24:12
did 70 / 222 patterns 24:12
did 80 / 222 patterns 24:12
did 90 / 222 patterns 24:12
did 100 / 222 patterns 24:13
did 110 / 222 patterns 24:13
did 120 / 222 patterns 24:13
did 130 / 222 patterns 24:13
did 140 / 222 patterns 24:13
did 150 / 222 patterns 24:13
did 160 / 222 patterns 24:13
did 170 / 222 patterns 24:13
did 180 / 222 patterns 24:13
did 190 / 222 patterns 24:13
did 200 / 222 patterns 24:13
did 210 / 222 patterns 24:13
did 220 / 222 patterns 24:13
did 222 / 222 patterns 24:13end of tree file.
Time used: 24:13
Model 7: beta
TREE # 1
(12, (23, 24), (((((((((((11, (21, 20)), ((13, 29), 17, 22, 27, 7), 2), 3), 8), (18, (4, 5))), (15, 9)), 10), (26, 6, 25)), 16), 28), (30, ((1, 19), 14)))); MP score: 258
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
38
0.106816 0.071093 0.061044 0.056193 0.097393 0.049493 0.040186 0.098682 0.085954 0.084551 0.106771 0.076222 0.103706 0.083818 0.041258 0.091632 0.058745 0.082856 0.075237 0.066063 0.099456 0.027610 0.093837 0.056665 0.041481 0.064489 0.094684 0.040572 0.062956 0.099099 0.095582 0.063616 0.047689 0.059569 0.058117 0.027247 0.030984 0.075398 0.069366 0.062050 0.077781 0.057777 0.098894 0.011343 0.097810 0.042303 0.023238 0.023254 0.077449 0.030039 0.085056 0.024741 4.103120 0.929622 1.278507
ntime & nrate & np: 52 1 55
Bounds (np=55):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.005000 0.005000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 99.000000 99.000000
Qfactor_NS = 5.331350
np = 55
lnL0 = -4151.703021
Iterating by ming2
Initial: fx= 4151.703021
x= 0.10682 0.07109 0.06104 0.05619 0.09739 0.04949 0.04019 0.09868 0.08595 0.08455 0.10677 0.07622 0.10371 0.08382 0.04126 0.09163 0.05875 0.08286 0.07524 0.06606 0.09946 0.02761 0.09384 0.05667 0.04148 0.06449 0.09468 0.04057 0.06296 0.09910 0.09558 0.06362 0.04769 0.05957 0.05812 0.02725 0.03098 0.07540 0.06937 0.06205 0.07778 0.05778 0.09889 0.01134 0.09781 0.04230 0.02324 0.02325 0.07745 0.03004 0.08506 0.02474 4.10312 0.92962 1.27851
1 h-m-p 0.0000 0.0001 1783.8045 ++ 3885.229002 m 0.0001 115 | 0/55
2 h-m-p 0.0000 0.0000 46079.2779 ++ 3881.209981 m 0.0000 228 | 1/55
3 h-m-p 0.0000 0.0000 99582.1170 ++ 3817.115116 m 0.0000 341 | 1/55
4 h-m-p 0.0000 0.0000 57642.6320 ++ 3781.538862 m 0.0000 453 | 1/55
5 h-m-p 0.0000 0.0000 30363.7583 ++ 3764.675416 m 0.0000 565 | 2/55
6 h-m-p 0.0000 0.0000 64384.3822 ++ 3653.340411 m 0.0000 677 | 3/55
7 h-m-p 0.0000 0.0000 33043.7904 ++ 3652.988970 m 0.0000 788 | 4/55
8 h-m-p 0.0000 0.0000 15641.8634 ++ 3644.608285 m 0.0000 898 | 5/55
9 h-m-p 0.0000 0.0000 13784.7600 ++ 3630.440237 m 0.0000 1007 | 6/55
10 h-m-p 0.0000 0.0000 6584.1381 ++ 3625.517363 m 0.0000 1115 | 6/55
11 h-m-p -0.0000 -0.0000 7123.8362
h-m-p: -0.00000000e+00 -0.00000000e+00 7.12383616e+03 3625.517363
.. | 6/55
12 h-m-p 0.0000 0.0000 3744.1895 ++ 3616.160925 m 0.0000 1326 | 7/55
13 h-m-p 0.0000 0.0000 1652.1732 ++ 3545.368323 m 0.0000 1433 | 7/55
14 h-m-p 0.0000 0.0000 23352.4004 ++ 3518.623738 m 0.0000 1539 | 8/55
15 h-m-p 0.0000 0.0000 13750.4480 ++ 3489.569103 m 0.0000 1645 | 9/55
16 h-m-p 0.0000 0.0000 3490.3690 +CYYCYCCC 3475.499260 7 0.0000 1762 | 9/55
17 h-m-p 0.0000 0.0000 4721.6922 +YYYCC 3471.355953 4 0.0000 1872 | 9/55
18 h-m-p 0.0000 0.0000 1393.5389 +CYYCC 3467.581923 4 0.0000 1983 | 9/55
19 h-m-p 0.0000 0.0000 2742.1773 +YCYCCC 3460.334329 5 0.0000 2096 | 9/55
20 h-m-p 0.0000 0.0000 595.4524 +YCCCC 3458.410892 4 0.0000 2208 | 9/55
21 h-m-p 0.0000 0.0000 564.3626 YCCC 3457.725251 3 0.0000 2317 | 9/55
22 h-m-p 0.0000 0.0001 445.1610 CCC 3457.281097 2 0.0000 2425 | 9/55
23 h-m-p 0.0000 0.0001 330.3694 CCC 3456.928386 2 0.0000 2533 | 9/55
24 h-m-p 0.0000 0.0002 194.5633 CCC 3456.553592 2 0.0000 2641 | 9/55
25 h-m-p 0.0000 0.0001 217.4962 CCC 3456.337773 2 0.0000 2749 | 9/55
26 h-m-p 0.0000 0.0002 186.5302 CCC 3456.044301 2 0.0000 2857 | 9/55
27 h-m-p 0.0000 0.0005 444.0164 +CCC 3455.110063 2 0.0001 2966 | 9/55
28 h-m-p 0.0000 0.0001 999.4509 YCCCC 3453.489238 4 0.0001 3077 | 9/55
29 h-m-p 0.0000 0.0002 1575.5990 YCCC 3450.977947 3 0.0001 3186 | 9/55
30 h-m-p 0.0000 0.0001 2587.2343 +YCYCCC 3445.896143 5 0.0001 3299 | 9/55
31 h-m-p 0.0000 0.0001 8028.7257 YCCCCC 3438.800806 5 0.0000 3412 | 9/55
32 h-m-p 0.0000 0.0001 6794.8697 CYCCCC 3434.488577 5 0.0000 3525 | 9/55
33 h-m-p 0.0000 0.0001 565.2817 CYYC 3434.108072 3 0.0000 3633 | 9/55
34 h-m-p 0.0000 0.0002 163.8585 YC 3434.030509 1 0.0000 3738 | 9/55
35 h-m-p 0.0000 0.0004 84.8091 YC 3433.993810 1 0.0000 3843 | 9/55
36 h-m-p 0.0000 0.0005 49.3490 YC 3433.973625 1 0.0000 3948 | 9/55
37 h-m-p 0.0000 0.0025 34.0463 CC 3433.956226 1 0.0001 4054 | 9/55
38 h-m-p 0.0000 0.0012 91.1939 +CCC 3433.884674 2 0.0001 4163 | 9/55
39 h-m-p 0.0000 0.0013 274.9549 +YCC 3433.668667 2 0.0001 4271 | 9/55
40 h-m-p 0.0000 0.0005 818.9879 +CCCC 3432.658123 3 0.0001 4382 | 9/55
41 h-m-p 0.0001 0.0005 2419.8601 +YYC 3429.473039 2 0.0002 4489 | 9/55
42 h-m-p 0.0000 0.0002 3138.0685 CCCC 3428.093482 3 0.0001 4599 | 9/55
43 h-m-p 0.0001 0.0003 1144.8704 YYC 3427.692368 2 0.0000 4705 | 9/55
44 h-m-p 0.0001 0.0007 317.2913 CC 3427.588955 1 0.0000 4811 | 9/55
45 h-m-p 0.0001 0.0011 118.8183 YC 3427.545004 1 0.0000 4916 | 9/55
46 h-m-p 0.0003 0.0024 18.6412 -YC 3427.541408 1 0.0000 5022 | 9/55
47 h-m-p 0.0001 0.0058 6.0388 YC 3427.540387 1 0.0000 5127 | 9/55
48 h-m-p 0.0001 0.0113 2.8197 YC 3427.537490 1 0.0002 5232 | 9/55
49 h-m-p 0.0001 0.0093 8.1371 +CC 3427.515809 1 0.0004 5339 | 9/55
50 h-m-p 0.0000 0.0024 57.9001 YC 3427.465439 1 0.0001 5444 | 9/55
51 h-m-p 0.0001 0.0019 115.9078 +CC 3427.287847 1 0.0002 5551 | 9/55
52 h-m-p 0.0002 0.0010 135.7403 YC 3427.205515 1 0.0001 5656 | 9/55
53 h-m-p 0.0002 0.0010 24.6238 YC 3427.201130 1 0.0000 5761 | 9/55
54 h-m-p 0.0002 0.0181 3.3044 YC 3427.199698 1 0.0001 5866 | 9/55
55 h-m-p 0.0001 0.0168 3.3678 CC 3427.196948 1 0.0002 5972 | 9/55
56 h-m-p 0.0001 0.0068 10.4496 +C 3427.181656 0 0.0002 6077 | 9/55
57 h-m-p 0.0000 0.0209 48.0023 +++YCCC 3424.517505 3 0.0073 6189 | 9/55
58 h-m-p 0.0001 0.0007 791.6912 YCC 3423.910577 2 0.0001 6296 | 9/55
59 h-m-p 0.1556 2.4577 0.5288 +CYCCC 3421.870755 4 1.1572 6408 | 9/55
60 h-m-p 0.1658 0.8288 0.4524 +YCYCC 3420.953531 4 0.4959 6519 | 9/55
61 h-m-p 0.2976 1.4878 0.4091 YCCCC 3420.526891 4 0.6264 6630 | 9/55
62 h-m-p 0.5871 2.9356 0.2904 YCCC 3420.060698 3 1.0829 6739 | 9/55
63 h-m-p 0.6701 3.3507 0.4054 +YCYCCC 3419.228497 5 1.8963 6852 | 9/55
64 h-m-p 0.1205 0.6027 2.1159 CYCCC 3418.697077 4 0.2291 6963 | 9/55
65 h-m-p 1.6000 8.0000 0.2313 YCCC 3418.142944 3 0.8609 7072 | 9/55
66 h-m-p 0.6354 6.9448 0.3134 YCCC 3417.933247 3 0.2635 7181 | 9/55
67 h-m-p 0.8766 7.7538 0.0942 CCC 3417.692648 2 1.1513 7289 | 9/55
68 h-m-p 0.8919 8.0000 0.1216 CYC 3417.635245 2 0.7682 7396 | 9/55
69 h-m-p 0.7722 8.0000 0.1210 YC 3417.611415 1 0.4436 7501 | 9/55
70 h-m-p 0.9493 8.0000 0.0565 CC 3417.600313 1 0.8161 7607 | 9/55
71 h-m-p 1.6000 8.0000 0.0064 YC 3417.597693 1 1.2110 7712 | 9/55
72 h-m-p 1.6000 8.0000 0.0022 YC 3417.594682 1 3.1691 7817 | 9/55
73 h-m-p 1.6000 8.0000 0.0020 CC 3417.591071 1 2.4161 7923 | 9/55
74 h-m-p 1.6000 8.0000 0.0016 CC 3417.590064 1 1.2949 8029 | 9/55
75 h-m-p 1.6000 8.0000 0.0008 C 3417.589949 0 1.3920 8133 | 9/55
76 h-m-p 1.6000 8.0000 0.0000 C 3417.589923 0 1.9304 8237 | 9/55
77 h-m-p 1.6000 8.0000 0.0000 C 3417.589914 0 1.7200 8341 | 9/55
78 h-m-p 1.6000 8.0000 0.0000 Y 3417.589913 0 1.1512 8445 | 9/55
79 h-m-p 1.6000 8.0000 0.0000 C 3417.589913 0 1.3608 8549 | 9/55
80 h-m-p 0.4608 8.0000 0.0000 Y 3417.589913 0 1.1065 8653 | 9/55
81 h-m-p 1.6000 8.0000 0.0000 -----Y 3417.589913 0 0.0001 8762
Out..
lnL = -3417.589913
8763 lfun, 96393 eigenQcodon, 4556760 P(t)
end of tree file.
Time used: 1:04:22
Model 8: beta&w>1
TREE # 1
(12, (23, 24), (((((((((((11, (21, 20)), ((13, 29), 17, 22, 27, 7), 2), 3), 8), (18, (4, 5))), (15, 9)), 10), (26, 6, 25)), 16), 28), (30, ((1, 19), 14)))); MP score: 258
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
38
0.029130 0.025980 0.064817 0.043955 0.032418 0.078563 0.067758 0.089623 0.020324 0.085937 0.026337 0.072977 0.036403 0.039538 0.100572 0.045802 0.107656 0.029033 0.081439 0.099340 0.022629 0.050126 0.070864 0.099971 0.014482 0.108365 0.015927 0.010743 0.016241 0.092376 0.051946 0.109675 0.030388 0.064968 0.084133 0.090776 0.030004 0.095551 0.012515 0.108720 0.083647 0.032298 0.079807 0.103102 0.071133 0.087489 0.096916 0.013232 0.032437 0.084480 0.075773 0.069385 4.055135 0.900000 0.768791 1.797256 1.300000
ntime & nrate & np: 52 2 57
Bounds (np=57):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.000010 0.005000 0.005000 1.000000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 0.999990 99.000000 99.000000 999.000000
Qfactor_NS = 5.534508
np = 57
lnL0 = -4059.986060
Iterating by ming2
Initial: fx= 4059.986060
x= 0.02913 0.02598 0.06482 0.04395 0.03242 0.07856 0.06776 0.08962 0.02032 0.08594 0.02634 0.07298 0.03640 0.03954 0.10057 0.04580 0.10766 0.02903 0.08144 0.09934 0.02263 0.05013 0.07086 0.09997 0.01448 0.10837 0.01593 0.01074 0.01624 0.09238 0.05195 0.10967 0.03039 0.06497 0.08413 0.09078 0.03000 0.09555 0.01251 0.10872 0.08365 0.03230 0.07981 0.10310 0.07113 0.08749 0.09692 0.01323 0.03244 0.08448 0.07577 0.06938 4.05513 0.90000 0.76879 1.79726 1.30000
1 h-m-p 0.0000 0.0000 1778.5904 ++ 3924.177205 m 0.0000 119 | 1/57
2 h-m-p 0.0000 0.0000 6945.0104 ++ 3912.976603 m 0.0000 236 | 2/57
3 h-m-p 0.0000 0.0000 54483.9531 ++ 3814.018250 m 0.0000 352 | 2/57
4 h-m-p 0.0000 0.0000 54632.7552 ++ 3796.631501 m 0.0000 467 | 3/57
5 h-m-p 0.0000 0.0000 105458.2815 ++ 3744.410043 m 0.0000 582 | 3/57
6 h-m-p 0.0000 0.0000 39101.7958 ++ 3724.255409 m 0.0000 696 | 4/57
7 h-m-p 0.0000 0.0000 11409910.6173 ++ 3693.388340 m 0.0000 810 | 4/57
8 h-m-p 0.0000 0.0000 87935.0828
h-m-p: 3.00527915e-24 1.50263957e-23 8.79350828e+04 3693.388340
.. | 4/57
9 h-m-p 0.0000 0.0000 5223.6273 ++ 3685.153722 m 0.0000 1033 | 5/57
10 h-m-p 0.0000 0.0000 1452.9213 ++ 3606.614571 m 0.0000 1146 | 6/57
11 h-m-p 0.0000 0.0000 33318.3362 ++ 3551.172410 m 0.0000 1258 | 7/57
12 h-m-p 0.0000 0.0000 9710.9533 ++ 3511.772165 m 0.0000 1369 | 6/57
13 h-m-p 0.0000 0.0000 26388.8217
h-m-p: 1.84196058e-22 9.20980292e-22 2.63888217e+04 3511.772165
.. | 6/57
14 h-m-p 0.0000 0.0000 47134.8525 -CYYCYCYC 3506.390265 7 0.0000 1600 | 6/57
15 h-m-p 0.0000 0.0000 1148.9980 ++ 3504.935803 m 0.0000 1711 | 7/57
16 h-m-p 0.0000 0.0000 10465.6210 ++ 3477.754816 m 0.0000 1822 | 8/57
17 h-m-p 0.0000 0.0000 5381.7682 ++ 3465.929903 m 0.0000 1932 | 8/57
18 h-m-p 0.0000 0.0000 7221.5267 ++ 3463.996072 m 0.0000 2041 | 9/57
19 h-m-p 0.0000 0.0000 2181.0014 +YYCYYCC 3455.975398 6 0.0000 2160 | 9/57
20 h-m-p 0.0000 0.0000 2403.1444 +YYYCCC 3454.155422 5 0.0000 2276 | 9/57
21 h-m-p 0.0000 0.0000 646.8549 YCYCCC 3451.739015 5 0.0000 2392 | 9/57
22 h-m-p 0.0000 0.0001 567.9279 CCCC 3448.610055 3 0.0000 2506 | 9/57
23 h-m-p 0.0000 0.0001 497.0504 CCCC 3446.226239 3 0.0000 2620 | 9/57
24 h-m-p 0.0000 0.0001 503.8362 +YCCC 3443.979094 3 0.0000 2734 | 9/57
25 h-m-p 0.0000 0.0000 1367.5333 YCC 3442.763849 2 0.0000 2845 | 9/57
26 h-m-p 0.0000 0.0000 1202.1839 +YYYCCC 3439.581756 5 0.0000 2961 | 9/57
27 h-m-p 0.0000 0.0000 1340.5733 ++ 3437.047690 m 0.0000 3069 | 10/57
28 h-m-p 0.0000 0.0001 234.5602 YCCC 3436.678267 3 0.0000 3182 | 10/57
29 h-m-p 0.0000 0.0001 385.0545 +YCCC 3435.860031 3 0.0000 3295 | 10/57
30 h-m-p 0.0000 0.0001 346.7616 CCC 3435.593562 2 0.0000 3406 | 10/57
31 h-m-p 0.0000 0.0002 154.5350 CYC 3435.444851 2 0.0000 3516 | 10/57
32 h-m-p 0.0000 0.0003 215.7861 +YCC 3435.074939 2 0.0001 3627 | 10/57
33 h-m-p 0.0000 0.0001 851.7697 +YYCC 3433.935800 3 0.0000 3739 | 10/57
34 h-m-p 0.0000 0.0002 1344.4338 YCC 3432.109935 2 0.0001 3849 | 10/57
35 h-m-p 0.0000 0.0002 1947.1240 YCCCC 3428.646955 4 0.0001 3963 | 10/57
36 h-m-p 0.0000 0.0001 2582.7520 CCC 3427.507658 2 0.0000 4074 | 10/57
37 h-m-p 0.0000 0.0002 714.4552 CCCC 3426.798825 3 0.0000 4187 | 10/57
38 h-m-p 0.0000 0.0006 576.0680 CCC 3425.845548 2 0.0001 4298 | 9/57
39 h-m-p 0.0000 0.0001 686.0844 YCCCC 3423.826202 4 0.0001 4412 | 9/57
40 h-m-p 0.0000 0.0001 1730.4386 CCCC 3422.835520 3 0.0000 4526 | 9/57
41 h-m-p 0.0000 0.0003 612.7421 YCCC 3422.047645 3 0.0000 4639 | 9/57
42 h-m-p 0.0001 0.0005 123.0904 YCC 3421.818756 2 0.0000 4750 | 9/57
43 h-m-p 0.0001 0.0011 75.3860 YC 3421.737656 1 0.0001 4859 | 9/57
44 h-m-p 0.0001 0.0010 41.1699 CC 3421.720921 1 0.0000 4969 | 9/57
45 h-m-p 0.0001 0.0045 19.0898 YC 3421.714013 1 0.0001 5078 | 9/57
46 h-m-p 0.0001 0.0038 11.9788 C 3421.707514 0 0.0001 5186 | 9/57
47 h-m-p 0.0001 0.0077 15.8979 YC 3421.689686 1 0.0002 5295 | 9/57
48 h-m-p 0.0000 0.0037 56.9357 +CC 3421.576161 1 0.0003 5406 | 9/57
49 h-m-p 0.0000 0.0006 387.1538 +YYC 3421.217110 2 0.0001 5517 | 9/57
50 h-m-p 0.0000 0.0005 1360.9269 +YCC 3420.189991 2 0.0001 5629 | 9/57
51 h-m-p 0.0001 0.0003 1134.8442 YCC 3419.879990 2 0.0000 5740 | 9/57
52 h-m-p 0.0002 0.0010 112.2049 CC 3419.835618 1 0.0001 5850 | 9/57
53 h-m-p 0.0002 0.0035 29.6611 CC 3419.826895 1 0.0001 5960 | 9/57
54 h-m-p 0.0002 0.0120 6.8560 YC 3419.823593 1 0.0001 6069 | 9/57
55 h-m-p 0.0002 0.0171 3.1756 YC 3419.813165 1 0.0004 6178 | 9/57
56 h-m-p 0.0001 0.0030 17.0088 +CCC 3419.718909 2 0.0004 6291 | 9/57
57 h-m-p 0.0001 0.0005 96.2451 YCCC 3419.542321 3 0.0001 6404 | 9/57
58 h-m-p 0.0001 0.0003 147.9928 CCC 3419.411366 2 0.0001 6516 | 9/57
59 h-m-p 0.0008 0.0040 7.6915 -C 3419.409870 0 0.0001 6625 | 9/57
60 h-m-p 0.0001 0.0178 2.7867 CC 3419.408660 1 0.0002 6735 | 9/57
61 h-m-p 0.0001 0.0214 9.3447 ++CC 3419.377742 1 0.0012 6847 | 9/57
62 h-m-p 0.0001 0.0037 164.5710 +CCC 3419.230595 2 0.0003 6960 | 9/57
63 h-m-p 0.0000 0.0020 1153.1501 +CCC 3418.334928 2 0.0003 7073 | 9/57
64 h-m-p 0.2892 1.4458 0.7111 CCC 3417.440573 2 0.3435 7185 | 9/57
65 h-m-p 0.1199 0.5995 1.1277 CYC 3417.239744 2 0.1256 7296 | 9/57
66 h-m-p 0.6548 3.7513 0.2164 YCC 3416.997098 2 0.5286 7407 | 9/57
67 h-m-p 1.6000 8.0000 0.0462 CYC 3416.880376 2 1.6288 7518 | 9/57
68 h-m-p 1.1458 8.0000 0.0657 YC 3416.754026 1 2.3725 7627 | 9/57
69 h-m-p 1.6000 8.0000 0.0842 CC 3416.686150 1 1.5174 7737 | 9/57
70 h-m-p 1.6000 8.0000 0.0635 CC 3416.663908 1 1.3122 7847 | 9/57
71 h-m-p 0.9721 8.0000 0.0857 YC 3416.645968 1 1.5622 7956 | 9/57
72 h-m-p 1.2836 8.0000 0.1043 CY 3416.628923 1 1.3659 8066 | 9/57
73 h-m-p 1.0232 8.0000 0.1393 CC 3416.611115 1 1.1906 8176 | 9/57
74 h-m-p 1.6000 8.0000 0.0564 C 3416.600489 0 1.5015 8284 | 9/57
75 h-m-p 1.6000 8.0000 0.0511 CC 3416.589691 1 1.7328 8394 | 9/57
76 h-m-p 1.0049 8.0000 0.0881 +C 3416.556158 0 3.9402 8503 | 9/57
77 h-m-p 1.2298 8.0000 0.2822 +YC 3416.483739 1 4.0291 8613 | 9/57
78 h-m-p 1.6000 8.0000 0.5267 CC 3416.407615 1 2.3925 8723 | 9/57
79 h-m-p 1.6000 8.0000 0.6208 CC 3416.344158 1 2.2010 8833 | 9/57
80 h-m-p 1.6000 8.0000 0.7745 CC 3416.306534 1 2.0300 8943 | 9/57
81 h-m-p 1.6000 8.0000 0.8294 YCC 3416.253827 2 3.1274 9054 | 9/57
82 h-m-p 1.5306 8.0000 1.6946 CC 3416.203479 1 2.2883 9164 | 9/57
83 h-m-p 1.6000 8.0000 2.0742 YCC 3416.168921 2 2.5727 9275 | 9/57
84 h-m-p 1.6000 8.0000 2.9507 YC 3416.141803 1 2.8813 9384 | 9/57
85 h-m-p 1.6000 8.0000 4.2282 CC 3416.124868 1 1.7200 9494 | 9/57
86 h-m-p 1.0451 8.0000 6.9586 YC 3416.111831 1 1.7140 9603 | 9/57
87 h-m-p 1.4776 7.3882 6.9002 YC 3416.099686 1 3.0759 9712 | 9/57
88 h-m-p 0.5790 2.8950 10.2782 +YC 3416.090708 1 2.5268 9822 | 9/57
89 h-m-p 0.0550 0.2749 13.7665 ++ 3416.089606 m 0.2749 9930 | 10/57
90 h-m-p 0.0328 8.0000 9.9853 --------------.. | 10/57
91 h-m-p 0.0000 0.0011 9.1213 CC 3416.089037 1 0.0000 10159 | 10/57
92 h-m-p 0.0000 0.0030 6.7820 YC 3416.088866 1 0.0000 10267 | 10/57
93 h-m-p 0.0000 0.0035 3.8508 C 3416.088768 0 0.0000 10374 | 10/57
94 h-m-p 0.0000 0.0079 2.3862 C 3416.088711 0 0.0000 10481 | 10/57
95 h-m-p 0.0000 0.0047 3.8227 Y 3416.088686 0 0.0000 10588 | 10/57
96 h-m-p 0.0000 0.0154 1.2885 Y 3416.088674 0 0.0000 10695 | 10/57
97 h-m-p 0.0000 0.0058 1.4479 Y 3416.088667 0 0.0000 10802 | 10/57
98 h-m-p 0.0001 0.0356 1.1104 Y 3416.088658 0 0.0000 10909 | 10/57
99 h-m-p 0.0000 0.0132 1.1430 Y 3416.088654 0 0.0000 11016 | 10/57
100 h-m-p 0.0000 0.0219 1.5539 Y 3416.088649 0 0.0000 11123 | 10/57
101 h-m-p 0.0000 0.0231 1.0256 Y 3416.088646 0 0.0000 11230 | 10/57
102 h-m-p 0.0001 0.0621 0.4427 C 3416.088645 0 0.0000 11337 | 10/57
103 h-m-p 0.0000 0.0143 0.9151 Y 3416.088644 0 0.0000 11444 | 10/57
104 h-m-p 0.0003 0.1438 0.2181 Y 3416.088643 0 0.0000 11551 | 10/57
105 h-m-p 0.0005 0.2626 0.1812 -C 3416.088643 0 0.0000 11659 | 10/57
106 h-m-p 0.0001 0.0279 0.3324 C 3416.088643 0 0.0000 11766 | 10/57
107 h-m-p 0.0006 0.3201 0.1899 Y 3416.088642 0 0.0001 11873 | 10/57
108 h-m-p 0.0003 0.1534 0.5897 C 3416.088640 0 0.0001 11980 | 10/57
109 h-m-p 0.0000 0.0148 3.7746 C 3416.088637 0 0.0000 12087 | 10/57
110 h-m-p 0.0001 0.0286 9.0573 Y 3416.088630 0 0.0000 12194 | 10/57
111 h-m-p 0.0001 0.0363 11.4796 C 3416.088609 0 0.0001 12301 | 10/57
112 h-m-p 0.0002 0.0861 20.7539 C 3416.088491 0 0.0002 12408 | 10/57
113 h-m-p 0.0000 0.0016 175.8327 C 3416.088380 0 0.0000 12515 | 10/57
114 h-m-p 0.0000 0.0060 366.4547 +C 3416.087809 0 0.0001 12623 | 10/57
115 h-m-p 0.0000 0.0024 729.7512 CC 3416.086937 1 0.0000 12732 | 10/57
116 h-m-p 0.0000 0.0020 1096.6124 +YC 3416.084581 1 0.0001 12841 | 10/57
117 h-m-p 0.0001 0.0017 1196.9660 C 3416.082103 0 0.0001 12948 | 10/57
118 h-m-p 0.0001 0.0014 1459.4629 YC 3416.080593 1 0.0000 13056 | 10/57
119 h-m-p 0.0003 0.0110 175.1590 YC 3416.080317 1 0.0001 13164 | 10/57
120 h-m-p 0.0002 0.0332 58.9613 Y 3416.080191 0 0.0001 13271 | 10/57
121 h-m-p 0.0001 0.0225 53.1736 Y 3416.080101 0 0.0001 13378 | 10/57
122 h-m-p 0.0002 0.0360 12.8053 Y 3416.080083 0 0.0000 13485 | 10/57
123 h-m-p 0.0003 0.1517 2.2392 Y 3416.080080 0 0.0001 13592 | 10/57
124 h-m-p 0.0006 0.3032 0.8697 Y 3416.080077 0 0.0001 13699 | 10/57
125 h-m-p 0.0004 0.1866 1.4707 C 3416.080072 0 0.0001 13806 | 10/57
126 h-m-p 0.0018 0.9120 4.8499 YC 3416.079618 1 0.0034 13914 | 10/57
127 h-m-p 0.0001 0.0145 328.2666 YC 3416.078685 1 0.0001 14022 | 10/57
128 h-m-p 0.0001 0.0104 516.6606 C 3416.077687 0 0.0001 14129 | 10/57
129 h-m-p 0.0004 0.0116 87.2922 -Y 3416.077575 0 0.0000 14237 | 10/57
130 h-m-p 0.0002 0.0354 22.9013 C 3416.077544 0 0.0000 14344 | 10/57
131 h-m-p 0.0072 0.2844 0.1588 ---C 3416.077544 0 0.0000 14454 | 10/57
132 h-m-p 0.0025 1.2749 0.0398 --C 3416.077544 0 0.0000 14563 | 10/57
133 h-m-p 0.0160 8.0000 0.0140 --Y 3416.077544 0 0.0001 14672 | 10/57
134 h-m-p 0.0108 5.4111 0.0448 -Y 3416.077544 0 0.0013 14780 | 10/57
135 h-m-p 0.0018 0.9043 1.2143 C 3416.077540 0 0.0005 14887 | 10/57
136 h-m-p 0.0018 0.8881 7.9414 C 3416.077516 0 0.0005 14994 | 10/57
137 h-m-p 0.0005 0.0428 7.8836 -C 3416.077515 0 0.0000 15102 | 10/57
138 h-m-p 0.1865 8.0000 0.0010 +C 3416.077507 0 0.8893 15210 | 10/57
139 h-m-p 1.5991 8.0000 0.0006 C 3416.077507 0 0.6235 15317 | 10/57
140 h-m-p 1.6000 8.0000 0.0002 -----Y 3416.077507 0 0.0004 15429
Out..
lnL = -3416.077507
15430 lfun, 185160 eigenQcodon, 8825960 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) = -3423.876893 S = -3279.636694 -186.450579
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 222 patterns 2:22:06
did 20 / 222 patterns 2:22:06
did 30 / 222 patterns 2:22:06
did 40 / 222 patterns 2:22:06
did 50 / 222 patterns 2:22:06
did 60 / 222 patterns 2:22:07
did 70 / 222 patterns 2:22:07
did 80 / 222 patterns 2:22:07
did 90 / 222 patterns 2:22:07
did 100 / 222 patterns 2:22:07
did 110 / 222 patterns 2:22:08
did 120 / 222 patterns 2:22:08
did 130 / 222 patterns 2:22:08
did 140 / 222 patterns 2:22:08
did 150 / 222 patterns 2:22:08
did 160 / 222 patterns 2:22:09
did 170 / 222 patterns 2:22:09
did 180 / 222 patterns 2:22:09
did 190 / 222 patterns 2:22:09
did 200 / 222 patterns 2:22:09
did 210 / 222 patterns 2:22:10
did 220 / 222 patterns 2:22:10
did 222 / 222 patterns 2:22:10end of tree file.
Time used: 2:22:10
The loglikelihoods for models M1, M2, M7 and M8 are -3416.455613 -3416.054622 -3417.589913 -3416.077507 respectively
CLUSTAL W (1.8) multiple sequence alignment (ALTER 1.3.3)
IWT_20_N_BBM61103_1_2016_12_Japan_Unknown_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTVTSQQPSGGNVV
OC43_human_USA_965_6_1996_N_AGT51794_1_1996_05_10_USA_Human_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQFRNVQTRGRRAQPKQTATSQQPSGGNVV
OC43_human_USA_912_36_1991_N_AGT51754_1_1991_02_22_USA_Human_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQFRNFQTRGRRAQPKQTATSQQPSGGNVV
PHEV_CoV_swine_USA_15TOSU1785_2015_NA_ARC95231_1_2015_08_15_USA_Swine_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGYGILKWADQSDQSRNVQTRGRRVQSKQTATSQQPSGGTVV
PHEV_CoV_swine_USA_15TOSU0582_2015_NA_ARC95223_1_2015_08_20_USA_Swine_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQSRNIQTRGRRVQSKQTATSQQPSGGTVV
E_AH65_TC_NA_ABP38247_1_NA_USA_Cattle_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTATSQQPSGGNVV
5414_2007_N_AIV41910_1_2007_06_China_Human_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQFRNVQTRGRRAQPKQTATSQQPSGGNVV
OC43_human_USA_851_15_1985_N_AGT51416_1_1985_01_08_USA_Human_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQFRNVQTRGRRAQPKQTSTSQQPSGGNVV
DcCoV_HKU23_camel_Nigeria_NV1092_2015_NA_QEY10653_1_2015_11_23_Nigeria_Camel_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTATSQQSSGGNIV
DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_NA_QEY10629_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTVTSQQPSGGNVV
87309_Belgium_2003_N_AAX85673_1_NA_Belgium_Unknown_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQFRNVQTRGRRAQPKQTATSQQPSGGNVV
TCG_23_N_BBM61483_1_2016_12_Japan_Unknown_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQFRNVQTRGRRAQPKQTVTSQQPSGGNVV
HCoV_OC43_Seattle_USA_SC3118_2015_NA_ARU07614_1_2015_USA_Human_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQFRNFQTRGRRAQPKQTATSQQPSGGNVV
IWT_21_N_BBM61113_1_2016_12_Japan_Unknown_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTVTSQQPSGGNVV
Mebus_N_AAA66397_1_NA_NA_Unknown_Betacoronavirus_1 MSFTPGKQSSSRASFGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTATSQLPSGGNVV
TCG_25_N_BBM61503_1_2017_12_Japan_Unknown_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTATSQQPSGGNVV
N08_33B_360X_NA_ARE30012_1_2016_USA_Human_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQFRNVQTRGRRAQPKQTATSQQPSGGNVV
VW572_N_AAY68302_1_NA_Belgium_Unknown_Betacoronavirus_1 MSFTPGKQPSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRVQSKQTATSQQPSGGTVV
IWT_19_N_BBM61093_1_2016_12_Japan_Unknown_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTVTSQQPSGGNVV
CC_23_N_AXX83329_1_2015_07_13_China_Unknown_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQFRNVQTRGRRAQPKQTATSQQPSGGNVV
3184A_2012_N_AIV41850_1_2012_03_China_Human_Betacoronavirus_1 MSFTPGKQSSSRASSGYRSGNGILKWADQSDQFRNVQTRGRRAQPKQTATSQQPSGGNVV
5566_2007_N_AIV41964_1_2007_06_China_Human_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQFRNVQTRGRRAQPKQTATSQQPSGGNVV
IWT_25_N_BBM61173_1_2017_01_Japan_Unknown_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTVTSQQPSGGNVV
IWT_26_N_BBM61183_1_2017_02_Japan_Unknown_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTVTSQQPSGGNVV
E_AH187_TC_NA_ACT11001_1_2000_01_01_USA_Cattle_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTVTSQQPSGGNVV
BCoV_ENT_N_NP_150083_1_NA_NA_Unknown_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTATSQQPSGGNVV
3582_2006_N_AIV41856_1_2006_09_China_Human_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQFRNVQTRGRRAQPKQTATSQQPSGGNVV
IWT_8_N_BBM61023_1_2012_01_Japan_Unknown_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTVTSQQPSGGNVV
HCoV_OC43_Seattle_USA_SC0776_2019_NA_QEG03818_1_2019_USA_Human_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQFRNFQTRGRRAQPKQTATSQQPSGGNVI
TCG_19_N_BBM61443_1_2016_12_Japan_Unknown_Betacoronavirus_1 MSFTPGKQPSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTVTSQQPSGGNVV
********.***** * *** *********** **.******.*.*** *** .***.::
IWT_20_N_BBM61103_1_2016_12_Japan_Unknown_Betacoronavirus_1 PYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
OC43_human_USA_965_6_1996_N_AGT51794_1_1996_05_10_USA_Human_Betacoronavirus_1 PYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
OC43_human_USA_912_36_1991_N_AGT51754_1_1991_02_22_USA_Human_Betacoronavirus_1 PYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
PHEV_CoV_swine_USA_15TOSU1785_2015_NA_ARC95231_1_2015_08_15_USA_Swine_Betacoronavirus_1 PYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
PHEV_CoV_swine_USA_15TOSU0582_2015_NA_ARC95223_1_2015_08_20_USA_Swine_Betacoronavirus_1 PYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
E_AH65_TC_NA_ABP38247_1_NA_USA_Cattle_Betacoronavirus_1 PYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
5414_2007_N_AIV41910_1_2007_06_China_Human_Betacoronavirus_1 PYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
OC43_human_USA_851_15_1985_N_AGT51416_1_1985_01_08_USA_Human_Betacoronavirus_1 PYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
DcCoV_HKU23_camel_Nigeria_NV1092_2015_NA_QEY10653_1_2015_11_23_Nigeria_Camel_Betacoronavirus_1 PYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYKHNRRSFKTADGNQRQLL
DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_NA_QEY10629_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1 PYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
87309_Belgium_2003_N_AAX85673_1_NA_Belgium_Unknown_Betacoronavirus_1 PYYSWFSGITQFQKGKAFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
TCG_23_N_BBM61483_1_2016_12_Japan_Unknown_Betacoronavirus_1 PYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
HCoV_OC43_Seattle_USA_SC3118_2015_NA_ARU07614_1_2015_USA_Human_Betacoronavirus_1 PHYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
IWT_21_N_BBM61113_1_2016_12_Japan_Unknown_Betacoronavirus_1 PYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
Mebus_N_AAA66397_1_NA_NA_Unknown_Betacoronavirus_1 PYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
TCG_25_N_BBM61503_1_2017_12_Japan_Unknown_Betacoronavirus_1 PYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
N08_33B_360X_NA_ARE30012_1_2016_USA_Human_Betacoronavirus_1 PYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
VW572_N_AAY68302_1_NA_Belgium_Unknown_Betacoronavirus_1 PYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
IWT_19_N_BBM61093_1_2016_12_Japan_Unknown_Betacoronavirus_1 PYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
CC_23_N_AXX83329_1_2015_07_13_China_Unknown_Betacoronavirus_1 PYYSWFSGITQFQKGKAFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
3184A_2012_N_AIV41850_1_2012_03_China_Human_Betacoronavirus_1 PYYSWFSGITQFQKGKAFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
5566_2007_N_AIV41964_1_2007_06_China_Human_Betacoronavirus_1 PYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
IWT_25_N_BBM61173_1_2017_01_Japan_Unknown_Betacoronavirus_1 PYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
IWT_26_N_BBM61183_1_2017_02_Japan_Unknown_Betacoronavirus_1 PYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
E_AH187_TC_NA_ACT11001_1_2000_01_01_USA_Cattle_Betacoronavirus_1 PYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
BCoV_ENT_N_NP_150083_1_NA_NA_Unknown_Betacoronavirus_1 PYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
3582_2006_N_AIV41856_1_2006_09_China_Human_Betacoronavirus_1 PYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
IWT_8_N_BBM61023_1_2012_01_Japan_Unknown_Betacoronavirus_1 PYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
HCoV_OC43_Seattle_USA_SC0776_2019_NA_QEG03818_1_2019_USA_Human_Betacoronavirus_1 PHYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
TCG_19_N_BBM61443_1_2016_12_Japan_Unknown_Betacoronavirus_1 PYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLL
*:************** *************************:*****************
IWT_20_N_BBM61103_1_2016_12_Japan_Unknown_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDIDGVYWVASNQANVNTPADILDRDPSSDEAIPTRFPPGT
OC43_human_USA_965_6_1996_N_AGT51794_1_1996_05_10_USA_Human_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDIDGVYWVASNQADVNTPADIVDRDPSSDEAIPTRFPPGT
OC43_human_USA_912_36_1991_N_AGT51754_1_1991_02_22_USA_Human_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDIDGIYWVASNQADVNTPADIVDRDPSSDEAIPTRFPPGT
PHEV_CoV_swine_USA_15TOSU1785_2015_NA_ARC95231_1_2015_08_15_USA_Swine_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDIDGVFWVASNQADINTPADIVDRDPSSDEAIPTRFPPGT
PHEV_CoV_swine_USA_15TOSU0582_2015_NA_ARC95223_1_2015_08_20_USA_Swine_Betacoronavirus_1 PRWYFYYLGTGPYAKDQYGTDIDGVFWVASNQADINTPADIVDRDPSSDEAIPTRFPPGT
E_AH65_TC_NA_ABP38247_1_NA_USA_Cattle_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDIDGVYWVASNQADVNTPADILDRDPSSDEAIPTRFPPGT
5414_2007_N_AIV41910_1_2007_06_China_Human_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDINGVYWVASNQADVNTPADIVDRDPSSDEAIPTRFPPGT
OC43_human_USA_851_15_1985_N_AGT51416_1_1985_01_08_USA_Human_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDFDGVFWVASNQADVNTPADIVDRDPSSDEAIPTRFPPGT
DcCoV_HKU23_camel_Nigeria_NV1092_2015_NA_QEY10653_1_2015_11_23_Nigeria_Camel_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDIDGVFWVASNQADVNTPADIVDRDPSSDEAIPTRFPPGT
DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_NA_QEY10629_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDIDGVFWVASNQADVNTPADILDRDPSSDEAIPTRFPPGT
87309_Belgium_2003_N_AAX85673_1_NA_Belgium_Unknown_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDIDGIYWVASNQADVNTPADIVDRDPSSDEAIPTRFPPGT
TCG_23_N_BBM61483_1_2016_12_Japan_Unknown_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDIDGVYWVASNQADVNTPADILDRDPSSDEAIPTRFPPGT
HCoV_OC43_Seattle_USA_SC3118_2015_NA_ARU07614_1_2015_USA_Human_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDINGVYWVASNQADVNTPADIVDRDPSSDEAIPTRFPPGT
IWT_21_N_BBM61113_1_2016_12_Japan_Unknown_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDIDGVYWVASNQADVNTPADILDRDPSSDEAIPTRFPPGT
Mebus_N_AAA66397_1_NA_NA_Unknown_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDIDGVFWVASNQADVNTPADILDRDPSSDEAIPTRFPPGT
TCG_25_N_BBM61503_1_2017_12_Japan_Unknown_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDIDGVFWVASNQADVNTPADILDRDPSSDEAIPTRFPPGT
N08_33B_360X_NA_ARE30012_1_2016_USA_Human_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDINGVYWVASNQADVNTPADIVDRDPSSDEAIPTRFPPGT
VW572_N_AAY68302_1_NA_Belgium_Unknown_Betacoronavirus_1 PRWYFYYLGTGPYAKDHYGTDIDGVFWVASNQADVNTPADIVDRDPSSDEAIPTRFPPGT
IWT_19_N_BBM61093_1_2016_12_Japan_Unknown_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDIDGVYWVASNQANVNTPADILDRDPSSDEAIPTRFPPGT
CC_23_N_AXX83329_1_2015_07_13_China_Unknown_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDIDGVYWVASSQADVNTPADIVDRDPSSDEAIPTRFPPGT
3184A_2012_N_AIV41850_1_2012_03_China_Human_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDIDGVYWVASNQADVNTPADIVDRDPSSDEAIPTRFPPGT
5566_2007_N_AIV41964_1_2007_06_China_Human_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDINGVYWVASNQADVNTPADIVDRDPSSDEAIPTRFPPGT
IWT_25_N_BBM61173_1_2017_01_Japan_Unknown_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDIDGVYWVASNQADVNTPADILDRDPSSDEAIPTRFPPGT
IWT_26_N_BBM61183_1_2017_02_Japan_Unknown_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDIDGVYWVASNQADVNTPADILDRDPSSDEAIPTRFPPGT
E_AH187_TC_NA_ACT11001_1_2000_01_01_USA_Cattle_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDIDGVYWVASNQADVNTPADILDRDPSSDEAIPTRFPPGT
BCoV_ENT_N_NP_150083_1_NA_NA_Unknown_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDIDGVYWVASNQADVNTPADILDRDPSSDEAIPTRFPPGT
3582_2006_N_AIV41856_1_2006_09_China_Human_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDINGVYWVASNQADVNTPADIVDRDPSSDEAIPTRFPPGT
IWT_8_N_BBM61023_1_2012_01_Japan_Unknown_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDIDGVYWVASNQADVNTPADILDRDPSSDEAIPTRFPPGT
HCoV_OC43_Seattle_USA_SC0776_2019_NA_QEG03818_1_2019_USA_Human_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDINGVYWVASNQADVNTPADIVDRDPSSDEAIPTRFPPGT
TCG_19_N_BBM61443_1_2016_12_Japan_Unknown_Betacoronavirus_1 PRWYFYYLGTGPHAKDQYGTDIDGVYWVASNQADVNTPADILDRDPSSDEAIPTRFPPGT
************:***:****::*::****.**::******:******************
IWT_20_N_BBM61103_1_2016_12_Japan_Unknown_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANSGNRTSTSGVTPDMADQIASLV
OC43_human_USA_965_6_1996_N_AGT51794_1_1996_05_10_USA_Human_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRTSSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLV
OC43_human_USA_912_36_1991_N_AGT51754_1_1991_02_22_USA_Human_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRTSSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLV
PHEV_CoV_swine_USA_15TOSU1785_2015_NA_ARC95231_1_2015_08_15_USA_Swine_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRAPNRAPSSGSRSRANSGNRTSTPGVTPDMADQIASLV
PHEV_CoV_swine_USA_15TOSU0582_2015_NA_ARC95223_1_2015_08_20_USA_Swine_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRAPNRASSSGSRSRANSGNRTSTPGVTPDMADQIASLV
E_AH65_TC_NA_ABP38247_1_NA_USA_Cattle_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLV
5414_2007_N_AIV41910_1_2007_06_China_Human_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRTSSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLV
OC43_human_USA_851_15_1985_N_AGT51416_1_1985_01_08_USA_Human_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRTSSRASSAGSRSRANSGNRAPTSGVTPDMADQIASLV
DcCoV_HKU23_camel_Nigeria_NV1092_2015_NA_QEY10653_1_2015_11_23_Nigeria_Camel_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANSGNRNPTSGVTPDMADQIASLV
DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_NA_QEY10629_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLV
87309_Belgium_2003_N_AAX85673_1_NA_Belgium_Unknown_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRTSSRASSAGSRSRANSGNRTLTSGVTPDMADQIASLV
TCG_23_N_BBM61483_1_2016_12_Japan_Unknown_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLV
HCoV_OC43_Seattle_USA_SC3118_2015_NA_ARU07614_1_2015_USA_Human_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRTSSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLV
IWT_21_N_BBM61113_1_2016_12_Japan_Unknown_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANFGNRTSTSGVTPDMADQIASLV
Mebus_N_AAA66397_1_NA_NA_Unknown_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLV
TCG_25_N_BBM61503_1_2017_12_Japan_Unknown_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLV
N08_33B_360X_NA_ARE30012_1_2016_USA_Human_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRTSSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLV
VW572_N_AAY68302_1_NA_Belgium_Unknown_Betacoronavirus_1 VLPQGYYIEGSGRSVPNSRSTSRASNRAPSSGSRSRANSGNRTSTSGVTPDMADQIASLV
IWT_19_N_BBM61093_1_2016_12_Japan_Unknown_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANSGNRTSTSGVTPDMADQIASLV
CC_23_N_AXX83329_1_2015_07_13_China_Unknown_Betacoronavirus_1 ILPQGYYIEGSGRSAPNSRSTSRTSSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLV
3184A_2012_N_AIV41850_1_2012_03_China_Human_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRTSSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLV
5566_2007_N_AIV41964_1_2007_06_China_Human_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRTSSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLV
IWT_25_N_BBM61173_1_2017_01_Japan_Unknown_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLV
IWT_26_N_BBM61183_1_2017_02_Japan_Unknown_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLV
E_AH187_TC_NA_ACT11001_1_2000_01_01_USA_Cattle_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLV
BCoV_ENT_N_NP_150083_1_NA_NA_Unknown_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLV
3582_2006_N_AIV41856_1_2006_09_China_Human_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRTSSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLV
IWT_8_N_BBM61023_1_2012_01_Japan_Unknown_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRASSSA---GSRSRANSGNRTPTSGVTPDMADQIASLV
HCoV_OC43_Seattle_USA_SC0776_2019_NA_QEG03818_1_2019_USA_Human_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRTSSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLV
TCG_19_N_BBM61443_1_2016_12_Japan_Unknown_Betacoronavirus_1 VLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANSCYRTSTSGVTPDMADQIASLV
:*************.********:.. * ******* * *.**************
IWT_20_N_BBM61103_1_2016_12_Japan_Unknown_Betacoronavirus_1 LAKLGKDATKPQQVTKQTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
OC43_human_USA_965_6_1996_N_AGT51794_1_1996_05_10_USA_Human_Betacoronavirus_1 LAKLGKDATKPQQVTKHTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
OC43_human_USA_912_36_1991_N_AGT51754_1_1991_02_22_USA_Human_Betacoronavirus_1 LAKLGKDATKPQQVTKHTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
PHEV_CoV_swine_USA_15TOSU1785_2015_NA_ARC95231_1_2015_08_15_USA_Swine_Betacoronavirus_1 LAKLGKDATKPQQVTKQTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
PHEV_CoV_swine_USA_15TOSU0582_2015_NA_ARC95223_1_2015_08_20_USA_Swine_Betacoronavirus_1 LAKLGKDATKPQQVTKQTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
E_AH65_TC_NA_ABP38247_1_NA_USA_Cattle_Betacoronavirus_1 LAKLGKDATKPQQVTKQTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
5414_2007_N_AIV41910_1_2007_06_China_Human_Betacoronavirus_1 LAKLGKDATKPQQVTKHTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
OC43_human_USA_851_15_1985_N_AGT51416_1_1985_01_08_USA_Human_Betacoronavirus_1 LAKLGKDATKPQQVTKHTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
DcCoV_HKU23_camel_Nigeria_NV1092_2015_NA_QEY10653_1_2015_11_23_Nigeria_Camel_Betacoronavirus_1 LAKLGKDATKPQQVTKQTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_NA_QEY10629_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1 LAKLGKDATKPQQVTKQTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
87309_Belgium_2003_N_AAX85673_1_NA_Belgium_Unknown_Betacoronavirus_1 LAKLGKDATKPQQVTKHTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
TCG_23_N_BBM61483_1_2016_12_Japan_Unknown_Betacoronavirus_1 LAKLGKDATKPQQVTKQTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
HCoV_OC43_Seattle_USA_SC3118_2015_NA_ARU07614_1_2015_USA_Human_Betacoronavirus_1 LAKLGKDATKPQQVTKHTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
IWT_21_N_BBM61113_1_2016_12_Japan_Unknown_Betacoronavirus_1 LAKLGKDATKPQQVTKQTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
Mebus_N_AAA66397_1_NA_NA_Unknown_Betacoronavirus_1 LAKLGKDATKPQQVTKQTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
TCG_25_N_BBM61503_1_2017_12_Japan_Unknown_Betacoronavirus_1 LAKLGKDATKPQQVTKQTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
N08_33B_360X_NA_ARE30012_1_2016_USA_Human_Betacoronavirus_1 LAKLGKDATKPQQVTKHTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
VW572_N_AAY68302_1_NA_Belgium_Unknown_Betacoronavirus_1 LAKLGKDATKPQQVTKQTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
IWT_19_N_BBM61093_1_2016_12_Japan_Unknown_Betacoronavirus_1 LAKLGKDATKPQQVTKQTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
CC_23_N_AXX83329_1_2015_07_13_China_Unknown_Betacoronavirus_1 LAKLGKDATKPQQVTKHTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
3184A_2012_N_AIV41850_1_2012_03_China_Human_Betacoronavirus_1 LAKLGKDATKPQQVTKHTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
5566_2007_N_AIV41964_1_2007_06_China_Human_Betacoronavirus_1 LAKLGKDATKPQQVTKHTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
IWT_25_N_BBM61173_1_2017_01_Japan_Unknown_Betacoronavirus_1 LAKLGKDATKPQQVTKHTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
IWT_26_N_BBM61183_1_2017_02_Japan_Unknown_Betacoronavirus_1 LAKLGKDATKPQQVTKHTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
E_AH187_TC_NA_ACT11001_1_2000_01_01_USA_Cattle_Betacoronavirus_1 LAKLGKDATKPQQVTKQTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
BCoV_ENT_N_NP_150083_1_NA_NA_Unknown_Betacoronavirus_1 LAKLGKDAAKPQQVTKQTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
3582_2006_N_AIV41856_1_2006_09_China_Human_Betacoronavirus_1 LAKLGKDATKPQQVTKHTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
IWT_8_N_BBM61023_1_2012_01_Japan_Unknown_Betacoronavirus_1 LAKLGKDATKPQQVTKQTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
HCoV_OC43_Seattle_USA_SC0776_2019_NA_QEG03818_1_2019_USA_Human_Betacoronavirus_1 LAKLGKDATKPQQVTKHTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
TCG_19_N_BBM61443_1_2016_12_Japan_Unknown_Betacoronavirus_1 LAKLGKDATKPQQVTKQTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEM
********:*******:****:**************************************
IWT_20_N_BBM61103_1_2016_12_Japan_Unknown_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFD
OC43_human_USA_965_6_1996_N_AGT51794_1_1996_05_10_USA_Human_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNPDEPQKDVYELRYNGAIRFD
OC43_human_USA_912_36_1991_N_AGT51754_1_1991_02_22_USA_Human_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNPDEPQKDVYELRYNGAIRFD
PHEV_CoV_swine_USA_15TOSU1785_2015_NA_ARC95231_1_2015_08_15_USA_Swine_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNSSGNPDEPQKDVYELRYNGAIRFD
PHEV_CoV_swine_USA_15TOSU0582_2015_NA_ARC95223_1_2015_08_20_USA_Swine_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNPDEPQKDVYELRYNGAIRFD
E_AH65_TC_NA_ABP38247_1_NA_USA_Cattle_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFD
5414_2007_N_AIV41910_1_2007_06_China_Human_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSKLELAKVQNLSGNPDEPQKDVYELRYNGAIRFD
OC43_human_USA_851_15_1985_N_AGT51416_1_1985_01_08_USA_Human_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNPDEPQKDVYELRYNGAIRFD
DcCoV_HKU23_camel_Nigeria_NV1092_2015_NA_QEY10653_1_2015_11_23_Nigeria_Camel_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFD
DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_NA_QEY10629_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFD
87309_Belgium_2003_N_AAX85673_1_NA_Belgium_Unknown_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNPDEPQKDVYELRYNGAIRFD
TCG_23_N_BBM61483_1_2016_12_Japan_Unknown_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFD
HCoV_OC43_Seattle_USA_SC3118_2015_NA_ARU07614_1_2015_USA_Human_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSKLELAKVQNLSGNPDEPQKDVYELRYNGAIRFD
IWT_21_N_BBM61113_1_2016_12_Japan_Unknown_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFD
Mebus_N_AAA66397_1_NA_NA_Unknown_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFD
TCG_25_N_BBM61503_1_2017_12_Japan_Unknown_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFD
N08_33B_360X_NA_ARE30012_1_2016_USA_Human_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSKLELAKVQNLSGNPDEPQKDVYELRYNGAIRFD
VW572_N_AAY68302_1_NA_Belgium_Unknown_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNSSGNLDEPQKDVYELRYNGAIRFD
IWT_19_N_BBM61093_1_2016_12_Japan_Unknown_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFD
CC_23_N_AXX83329_1_2015_07_13_China_Unknown_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNPDEPQKDVYELRYNGAIRFD
3184A_2012_N_AIV41850_1_2012_03_China_Human_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNPDEPQKDVYELRYNGAIRFD
5566_2007_N_AIV41964_1_2007_06_China_Human_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSKLELAKVQNLSGNPDEPQKDVYELRYNGAIRFD
IWT_25_N_BBM61173_1_2017_01_Japan_Unknown_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFD
IWT_26_N_BBM61183_1_2017_02_Japan_Unknown_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFD
E_AH187_TC_NA_ACT11001_1_2000_01_01_USA_Cattle_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFD
BCoV_ENT_N_NP_150083_1_NA_NA_Unknown_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFD
3582_2006_N_AIV41856_1_2006_09_China_Human_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSKLELAKVQNLSGNPDEPQKDVYELRYNGAIRFD
IWT_8_N_BBM61023_1_2012_01_Japan_Unknown_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFD
HCoV_OC43_Seattle_USA_SC0776_2019_NA_QEG03818_1_2019_USA_Human_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSKLELAKVQNLSGNPDEPQKDVYELRYNGAIRFD
TCG_19_N_BBM61443_1_2016_12_Japan_Unknown_Betacoronavirus_1 LKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFD
***************************:******** *** *******************
IWT_20_N_BBM61103_1_2016_12_Japan_Unknown_Betacoronavirus_1 STLSGFETIMKVLNENLNAYQ-QQDGTMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQ
OC43_human_USA_965_6_1996_N_AGT51794_1_1996_05_10_USA_Human_Betacoronavirus_1 STLSGFETIMKVLSENLNAYQ-QQDGMMNMSPKPQRQRGHKNGQGENDNISVAVPKSRVQ
OC43_human_USA_912_36_1991_N_AGT51754_1_1991_02_22_USA_Human_Betacoronavirus_1 STLSGFETIMKVLNENLNAYQ-QQDGMMNMSPKPQRQRGHKNGQGENDNISVAVPKSRVQ
PHEV_CoV_swine_USA_15TOSU1785_2015_NA_ARC95231_1_2015_08_15_USA_Swine_Betacoronavirus_1 STLSGFETIMKVLNQNLNAYQHQEDGMMNISPKPQRQRGQKNGQVENDNISVAAPKSRVQ
PHEV_CoV_swine_USA_15TOSU0582_2015_NA_ARC95223_1_2015_08_20_USA_Swine_Betacoronavirus_1 STLSGFETIMKVLNQNLNAYQHQEDGMMNISPKPQRQRGQKNGQVENDNISVAAPKSRVQ
E_AH65_TC_NA_ABP38247_1_NA_USA_Cattle_Betacoronavirus_1 STLSGFETIMKVLNENLNAYQ-QQDGTMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQ
5414_2007_N_AIV41910_1_2007_06_China_Human_Betacoronavirus_1 STLSGFETIMKVLSENLNAYQ-QQDGMMNMSPKPQRQRGHKNGQGENDNISVAVPKSRVQ
OC43_human_USA_851_15_1985_N_AGT51416_1_1985_01_08_USA_Human_Betacoronavirus_1 STLSGFETIMKVLNENLNAYQ-QQDGMMNMSPKPQRQRGHKNGQGENDNISVAAPKSRVQ
DcCoV_HKU23_camel_Nigeria_NV1092_2015_NA_QEY10653_1_2015_11_23_Nigeria_Camel_Betacoronavirus_1 STLSGFETIMKVLNENLNAYQ-QQDGMMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQ
DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_NA_QEY10629_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1 STLSGFETIMKVLNENLNAYQ-QQDGMMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQ
87309_Belgium_2003_N_AAX85673_1_NA_Belgium_Unknown_Betacoronavirus_1 STLSGFETIMKVLSENLNAYQ-QQDGMMNMSPKPQRQRGHKNGQGENDNISVAVPKSRVQ
TCG_23_N_BBM61483_1_2016_12_Japan_Unknown_Betacoronavirus_1 STLSGFETIMKVLNENLNAYQ-QQDGTMNMSPKPQRQRGQKNGQGENDNISVAAPKSRLQ
HCoV_OC43_Seattle_USA_SC3118_2015_NA_ARU07614_1_2015_USA_Human_Betacoronavirus_1 STLSGFETIMKVLSENLNAYQ-QQDGMMNMSPKPQRQRGHKNGQGENDNISVAVPKSRVQ
IWT_21_N_BBM61113_1_2016_12_Japan_Unknown_Betacoronavirus_1 STLSGFETIMKVLNENLNAYQ-QQDGTMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQ
Mebus_N_AAA66397_1_NA_NA_Unknown_Betacoronavirus_1 STLSGFETIMKVLNENLNAYQ-QQDGMMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQ
TCG_25_N_BBM61503_1_2017_12_Japan_Unknown_Betacoronavirus_1 STLSGFETIMKVLNENLNAYQ-QQDGTMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQ
N08_33B_360X_NA_ARE30012_1_2016_USA_Human_Betacoronavirus_1 STLSGFETIMKVLSENLNAYQ-QQDGMMNMSPKPQRQRGHKNGQGENDNISVAVPKSRVQ
VW572_N_AAY68302_1_NA_Belgium_Unknown_Betacoronavirus_1 STLSGFETIMKVLNQNLNAYQHQEDGMINISPKPQRQRGQKNGQVENDNVSVAVPKSRVQ
IWT_19_N_BBM61093_1_2016_12_Japan_Unknown_Betacoronavirus_1 STLSGFETIMKVLNENLNAYQ-QQDGTMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQ
CC_23_N_AXX83329_1_2015_07_13_China_Unknown_Betacoronavirus_1 STLSGFETIMKVLSENLNAYQ-QQDG-MNMSPKPQRQRGHKNGQGENDNISVAVPKSRVQ
3184A_2012_N_AIV41850_1_2012_03_China_Human_Betacoronavirus_1 STLSGFETIMKVLSENLNAYQ-QQDG-MNMSPKPQRQRGHKNGQGENDNISVAVPKSRVQ
5566_2007_N_AIV41964_1_2007_06_China_Human_Betacoronavirus_1 STLSGFETIMKVLSENLNAYQ-QQDGMMNMSPKPQRQRGHKNGQGENDNISVAVPKSRVQ
IWT_25_N_BBM61173_1_2017_01_Japan_Unknown_Betacoronavirus_1 STLSGFETIMKVLNENLNAYQ-QQDGTMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQ
IWT_26_N_BBM61183_1_2017_02_Japan_Unknown_Betacoronavirus_1 STLSGFETIMKVLNENLNAYQ-QQDGTMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQ
E_AH187_TC_NA_ACT11001_1_2000_01_01_USA_Cattle_Betacoronavirus_1 STLSGFETIMKVLNENLNAYQ-QQDGTMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQ
BCoV_ENT_N_NP_150083_1_NA_NA_Unknown_Betacoronavirus_1 STLSGFETIMKVLNENLNAYQ-QQDGTMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQ
3582_2006_N_AIV41856_1_2006_09_China_Human_Betacoronavirus_1 STLSGFETIMKVLSENLNAYQ-QQDGMMNMSPKPQRQRGHKNGQGENDNISVAVPKSRVQ
IWT_8_N_BBM61023_1_2012_01_Japan_Unknown_Betacoronavirus_1 STLSGFETIMKVLNENLNAYQ-QQDGTMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQ
HCoV_OC43_Seattle_USA_SC0776_2019_NA_QEG03818_1_2019_USA_Human_Betacoronavirus_1 STLSGFETIMKVLSENLNAYQ-QQDGMMNMSPKPQRQRGHKNGQGENDNISVAVPKSRVQ
TCG_19_N_BBM61443_1_2016_12_Japan_Unknown_Betacoronavirus_1 STLSGFETIMKVLNENLNAYQ-QQDGTMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQ
*************.:****** *:** :*:*********:**** ****:***.****:*
IWT_20_N_BBM61103_1_2016_12_Japan_Unknown_Betacoronavirus_1 QNKIRELTAEDISLLKKMDEPFTEDTSEI
OC43_human_USA_965_6_1996_N_AGT51794_1_1996_05_10_USA_Human_Betacoronavirus_1 QNKSIELTAEDISLLKKMDEPYTEDTSEI
OC43_human_USA_912_36_1991_N_AGT51754_1_1991_02_22_USA_Human_Betacoronavirus_1 QNKSRELTAEDISLLKKMDEPYTEDTSEI
PHEV_CoV_swine_USA_15TOSU1785_2015_NA_ARC95231_1_2015_08_15_USA_Swine_Betacoronavirus_1 QNKSRELTAEDISLLKKMDEPYTEDTSEI
PHEV_CoV_swine_USA_15TOSU0582_2015_NA_ARC95223_1_2015_08_20_USA_Swine_Betacoronavirus_1 QNKSRELTAEDISLLKKMDEPYTEDTSEI
E_AH65_TC_NA_ABP38247_1_NA_USA_Cattle_Betacoronavirus_1 QNKIRELTAEDISLLKKMDEPFTEDTSEI
5414_2007_N_AIV41910_1_2007_06_China_Human_Betacoronavirus_1 QNKSIELTAEDISLLKKMDEPFTEDTSEI
OC43_human_USA_851_15_1985_N_AGT51416_1_1985_01_08_USA_Human_Betacoronavirus_1 QNKSRELTAEDISLLKKMDEPYTEDTSEI
DcCoV_HKU23_camel_Nigeria_NV1092_2015_NA_QEY10653_1_2015_11_23_Nigeria_Camel_Betacoronavirus_1 QNKSRELTAEDISLLKKMDEPYTEDTSEI
DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_NA_QEY10629_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1 QNKIRELTAEDISLLKKMDEPFTEDTSEI
87309_Belgium_2003_N_AAX85673_1_NA_Belgium_Unknown_Betacoronavirus_1 QNKSIELTAEDISLLKKMDEPYTEDTSEI
TCG_23_N_BBM61483_1_2016_12_Japan_Unknown_Betacoronavirus_1 QNKIRELTAEDISLLKKMDEPFTEDTSEI
HCoV_OC43_Seattle_USA_SC3118_2015_NA_ARU07614_1_2015_USA_Human_Betacoronavirus_1 QNKSIELTAEDISLLKKMDEPFTEDTSEI
IWT_21_N_BBM61113_1_2016_12_Japan_Unknown_Betacoronavirus_1 QNKIRELTAEDISLLKKMDEPFTEDTSEI
Mebus_N_AAA66397_1_NA_NA_Unknown_Betacoronavirus_1 QNKSRELTAEDISLLKKMDEPYTEDTSEI
TCG_25_N_BBM61503_1_2017_12_Japan_Unknown_Betacoronavirus_1 QNKIRELTAEDISLLKKMDEPFTEDTSEI
N08_33B_360X_NA_ARE30012_1_2016_USA_Human_Betacoronavirus_1 QNKSIELTAEDISLLKKMDEPFTEDTSEI
VW572_N_AAY68302_1_NA_Belgium_Unknown_Betacoronavirus_1 QNKSRELTAEDISLLKKMDEPYTEDTSEI
IWT_19_N_BBM61093_1_2016_12_Japan_Unknown_Betacoronavirus_1 QNKIRELTAEDISLLKKMDEPFTEDTSEI
CC_23_N_AXX83329_1_2015_07_13_China_Unknown_Betacoronavirus_1 QNKSIELTSEDISLLKKMDEPYTEDTSEI
3184A_2012_N_AIV41850_1_2012_03_China_Human_Betacoronavirus_1 QNKSIELTAEDISLLKKMDEPYTEDTSEI
5566_2007_N_AIV41964_1_2007_06_China_Human_Betacoronavirus_1 QNKSIELTAEDISLLKKMDEPFTEDTSEI
IWT_25_N_BBM61173_1_2017_01_Japan_Unknown_Betacoronavirus_1 QNKIRELTAEDISLLKKMDEPFTEDTSEI
IWT_26_N_BBM61183_1_2017_02_Japan_Unknown_Betacoronavirus_1 QNKIRELTAEDISLLKKMDEPFTEDTSEI
E_AH187_TC_NA_ACT11001_1_2000_01_01_USA_Cattle_Betacoronavirus_1 QNKIRELTAEDISLLKKMDEPFTEDTSEI
BCoV_ENT_N_NP_150083_1_NA_NA_Unknown_Betacoronavirus_1 QNKIRELTAEDISLLKKMDEPFTEDTSEI
3582_2006_N_AIV41856_1_2006_09_China_Human_Betacoronavirus_1 QNKSIELTAEDISLLKKMDEPFTEDTSEI
IWT_8_N_BBM61023_1_2012_01_Japan_Unknown_Betacoronavirus_1 QNKIRELTAEDISLLKKMDEPFTEDTSEI
HCoV_OC43_Seattle_USA_SC0776_2019_NA_QEG03818_1_2019_USA_Human_Betacoronavirus_1 QNKSIELTAEDISLLKKMDEPFTEDTSEI
TCG_19_N_BBM61443_1_2016_12_Japan_Unknown_Betacoronavirus_1 QNKIRELTAEDISLLKKMDEPFTEDTSEI
*** ***:************:*******
>IWT_20_N_BBM61103_1_2016_12_Japan_Unknown_Betacoronavirus_1 ATGTCTTTTACTCCTGGTAAGCAATCCAGTAGTAGAGCGTCCTCTGGAAATCGTTCTGGTAATGGCATCCTTAAGTGGGCCGATCAGTCCGACCAATCTAGAAATGTTCAAACCAGGGGTAGAAGAGCTCAACCCAAGCAAACTGTTACTTCTCAGCAACCATCAGGAGGGAATGTTGTGCCCTACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAGGGAAAGGAGTTTGAATTTGCAGAGGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACGGAAGCTAAAGGGTACTGGTACAGACACAACAGACGTTCCTTTAAAACAGCCGATGGCAACCAGCGTCAATTGCTGCCACGATGGTATTTTTACTATCTTGGAACAGGACCGCATGCCAAAGACCAGTATGGCACCGACATTGACGGTGTCTACTGGGTCGCTAGTAACCAGGCTAATGTTAACACCCCGGCTGACATTCTTGATCGGGACCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGTACGGTACTCCCTCAGGGTTATTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCACGCGCATCCAGTAGAGCCTCTAGTGCAGGATCGCGCAGTAGAGCCAATTCTGGCAATAGAACCTCTACCTCTGGTGTAACACCTGATATGGCTGATCAAATTGCTAGTCTTGTTCTGGCAAAACTTGGCAAGGATGCCACTAAGCCACAGCAAGTAACTAAGCAGACTGCCAAAGAAATCAGACAGAAAATTTTGAATAAGCCCCGTCAGAAGAGGAGCCCTAATAAACAATGCACTGTTCAGCAGTGTTTTGGGAAGAGAGGCCCCAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGATCCACAGTTCCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAGATTAGAGTTGGCCAAAGTGCAGAATTTGTCTGGGAATCTTGACGAGCCCCAGAAGGATGTTTATGAATTGCGCTATAATGGCGCAATTAGATTTGATAGTACACTTTCAGGTTTTGAGACCATAATGAAGGTGTTGAATGAGAATTTGAATGCATACCAA---CAACAGGATGGTACGATGAATATGAGTCCAAAACCACAGCGTCAGCGTGGTCAGAAGAACGGACAAGGAGAAAATGATAATATAAGTGTTGCAGCGCCCAAAAGCCGTGTGCAGCAAAATAAAATTAGAGAGTTGACTGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTTTACTGAAGACACCTCAGAAATA >OC43_human_USA_965_6_1996_N_AGT51794_1_1996_05_10_USA_Human_Betacoronavirus_1 ATGTCTTTTACTCCTGGTAAGCAATCCAGTAGTAGAGCGTCCTCTGGAAATCGGTCTGGTAATGGCATCCTCAAGTGGGCCGATCAGTCCGACCAGTTTAGAAATGTTCAAACCAGGGGTAGAAGAGCTCAACCCAAGCAAACTGCTACTTCTCAGCAACCATCAGGAGGGAATGTTGTACCCTACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAGGGAAAGGAGTTTGAGTTTGCAGAAGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACTGAAGCTAAGGGGTACTGGTACAGACACAACAGACGTTCTTTTAAAACAGCCGATGGCAACCAGCGTCAACTGCTGCCACGATGGTATTTTTACTATCTGGGAACAGGACCGCATGCTAAAGACCAGTACGGCACCGATATTGACGGAGTCTACTGGGTCGCTAGCAACCAGGCTGATGTCAATACCCCGGCTGACATTGTCGATCGGGACCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGCACGGTACTCCCTCAGGGTTACTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCGCGCACATCCAGCAGAGCCTCTAGTGCAGGATCGCGTAGTAGAGCCAATTCTGGCAATAGAACCCCTACCTCTGGTGTAACACCTGACATGGCTGATCAAATTGCTAGTCTTGTTCTGGCAAAACTTGGCAAGGATGCCACTAAGCCTCAGCAAGTAACTAAGCATACTGCCAAAGAAGTCAGACAGAAAATTTTGAATAAACCCCGCCAGAAGAGGAGCCCCAATAAACAATGCACTGTTCAGCAGTGTTTTGGTAAGAGAGGCCCTAATCAGAACTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGACCCACAGTTCCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAGATTAGAGTTGGCCAAAGTGCAGAATTTATCTGGGAATCCTGACGAGCCTCAGAAGGATGTTTATGAATTGCGCTATAACGGCGCAATTAGGTTTGACAGTACACTTTCAGGCTTTGAGACCATAATGAAGGTGCTGAGTGAGAATTTGAATGCCTATCAA---CAACAAGATGGTATGATGAATATGAGTCCAAAACCACAGCGTCAGCGTGGTCATAAGAATGGACAAGGAGAAAATGATAATATAAGTGTTGCAGTGCCCAAAAGCCGCGTGCAGCAAAATAAGAGTATAGAGTTGACTGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTATACTGAAGACACCTCAGAAATA >OC43_human_USA_912_36_1991_N_AGT51754_1_1991_02_22_USA_Human_Betacoronavirus_1 ATGTCTTTTACTCCTGGTAAGCAATCCAGTAGTAGAGCGTCCTCTGGAAATCGTTCTGGTAATGGCATCCTCAAGTGGGCCGATCAGTCCGACCAGTTTAGAAATTTTCAAACCAGGGGTAGAAGAGCTCAACCCAAGCAAACTGCTACTTCTCAGCAACCATCAGGAGGGAATGTTGTACCCTACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAAGGAAAGGAGTTTGAGTTTGCAGAAGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACTGAAGCTAAGGGGTACTGGTACAGACACAACAGACGTTCTTTTAAAACAGCCGATGGCAACCAGCGTCAACTGCTGCCACGATGGTATTTTTACTATCTGGGAACAGGACCGCATGCTAAAGACCAGTACGGCACCGATATTGATGGAATCTACTGGGTCGCTAGCAACCAGGCTGATGTCAATACCCCGGCTGACATTGTCGATCGGGACCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGCACGGTACTCCCTCAGGGTTACTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCGCGCACATCCAGTAGAGCCTCTAGTGCAGGATCGCGTAGTAGAGCCAATTCTGGCAATAGAACCCCTACCTCTGGTGTAACACCTGACATGGCTGATCAAATTGCTAGTCTTGTTCTGGCAAAACTTGGCAAGGATGCCACTAAACCTCAGCAAGTAACTAAGCATACTGCCAAAGAAGTCAGACAGAAAATTTTGAATAAGCCCCGCCAGAAGAGGAGCCCCAATAAACAATGCACTGTTCAGCAGTGTTTTGGTAAGAGAGGCCCTAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGATCCACAGTTCCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAGATTAGAGTTGGCCAAAGTGCAGAATTTATCTGGGAATCCTGACGAGCCCCAGAAGGATGTTTATGAATTGCGCTATAACGGCGCAATTAGGTTTGACAGTACACTTTCAGGTTTTGAGACCATAATGAAGGTGCTGAATGAGAATTTGAATGCCTATCAA---CAACAAGATGGTATGATGAATATGAGTCCAAAACCACAGCGTCAGCGTGGTCATAAGAATGGACAAGGAGAAAATGATAATATAAGTGTTGCAGTGCCCAAAAGCCGCGTGCAGCAAAATAAGAGTAGAGAGTTGACTGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTATACTGAAGACACCTCAGAAATA >PHEV_CoV_swine_USA_15TOSU1785_2015_NA_ARC95231_1_2015_08_15_USA_Swine_Betacoronavirus_1 ATGTCTTTCACTCCTGGCAAGCAGTCCAGTAGTAGAGCGTCCTCTGGAAATCGTTCTGGTTATGGCATCCTTAAGTGGGCCGATCAGTCCGACCAGTCTAGAAATGTCCAAACCAGGGGTAGAAGAGTTCAATCTAAGCAAACTGCTACTTCTCAGCAACCATCAGGAGGGACTGTTGTACCCTACTATTCTTGGTTTTCTGGAATTACTCAGTTTCAAAAGGGAAAGGAGTTTGAATTTGCAGAGGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACTGAAGCTAAGGGTTACTGGTACAGACACAACAGACGTTCTTTTAAAACAGCCGATGGCAATCAGCGTCAACTGCTGCCACGATGGTACTTTTACTACCTGGGAACAGGACCGCATGCCAAAGACCAGTACGGCACCGACATTGACGGAGTCTTCTGGGTCGCTAGTAACCAGGCTGATATTAATACCCCGGCTGACATTGTCGATCGGGATCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGCACGGTACTCCCTCAAGGTTACTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCGCGCGCACCCAACAGAGCCCCTAGTTCAGGATCGCGTAGTAGAGCCAATTCTGGCAATAGAACCTCTACCCCTGGTGTAACTCCTGATATGGCTGATCAAATTGCTAGTCTTGTTCTGGCAAAACTTGGCAAGGATGCCACTAAGCCTCAGCAAGTAACTAAGCAGACTGCCAAAGAGGTCAGACAGAAAATTTTGAATAAGCCCCGCCAGAAGAGGAGCCCCAATAAACAATGCACTGTTCAGCAGTGTTTTGGGAAGAGAGGCCCTAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGACCCACAGTTTCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAGATTAGAGTTGGCCAAAGTGCAGAATTCTTCTGGGAATCCTGATGAGCCCCAGAAGGATGTTTATGAATTGCGCTATAATGGCGCGATTAGATTTGACAGCACACTCTCAGGTTTTGAAACCATTATGAAGGTGCTTAACCAGAATTTGAATGCCTATCAACATCAGGAAGATGGGATGATGAATATTAGTCCTAAACCACAGCGGCAGCGTGGTCAGAAGAATGGACAAGTAGAAAATGATAATATAAGTGTTGCAGCGCCTAAAAGCCGTGTGCAGCAAAATAAGAGCAGAGAGTTGACAGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTATACTGAAGATACCTCAGAAATA >PHEV_CoV_swine_USA_15TOSU0582_2015_NA_ARC95223_1_2015_08_20_USA_Swine_Betacoronavirus_1 ATGTCTTTCACTCCTGGCAAGCAGTCCAGCAGTAGAGCGTCCTCTGGAAATCGTTCTGGTAATGGCATCCTTAAGTGGGCCGATCAGTCCGACCAGTCTAGAAATATTCAAACCAGGGGTAGAAGAGTTCAATCCAAGCAAACTGCTACTTCTCAGCAACCATCAGGAGGGACTGTTGTACCCTACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAGGGAAAGGAGTTTGAATTTGCAGAGGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACTGAAGCTAAGGGGTACTGGTATAGACACAACAGACGTTCTTTTAAAACAGCCGATGGCAATCAGCGTCAACTGCTGCCACGATGGTACTTTTACTACCTTGGAACAGGACCTTATGCCAAAGACCAGTACGGCACCGACATTGACGGAGTCTTCTGGGTCGCTAGTAACCAGGCTGATATTAATACCCCGGCTGACATTGTCGATCGGGATCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGTACGGTACTCCCTCAAGGTTACTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCGCGCGCACCCAATAGAGCCTCTAGTTCAGGATCGCGTAGTAGAGCCAATTCTGGCAATAGAACCTCCACCCCTGGTGTAACACCTGACATGGCTGATCAAATTGCTAGTCTTGTTCTGGCAAAACTTGGCAAGGATGCCACTAAGCCTCAGCAAGTAACTAAGCAGACTGCCAAAGAGGTCAGACAGAAAATCTTGAATAAGCCCCGCCAGAAGAGGAGCCCCAATAAACAATGCACTGTTCAGCAGTGTTTTGGGAAGAGAGGTCCTAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGACCCACAGTTTCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAGATTGGAGTTGGCCAAAGTGCAGAATTTGTCTGGAAATCCTGACGAGCCCCAGAAGGATGTTTATGAATTGCGCTATAATGGCGCGATTAGATTTGACAGCACACTCTCAGGTTTTGAAACCATTATGAAGGTGCTTAATCAGAATTTGAATGCCTATCAACATCAGGAAGATGGGATGATGAATATTAGTCCTAAACCACAGCGGCAGCGTGGTCAGAAGAATGGACAAGTAGAAAATGATAATATAAGTGTTGCAGCGCCTAAAAGCCGTGTGCAGCAAAATAAGAGTAGAGAGTTGACAGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTATACTGAAGATACCTCAGAAATA >E_AH65_TC_NA_ABP38247_1_NA_USA_Cattle_Betacoronavirus_1 ATGTCTTTTACTCCTGGTAAGCAATCCAGTAGTAGAGCGTCCTCTGGAAATCGTTCTGGTAATGGCATCCTTAAGTGGGCCGATCAGTCCGACCAATCTAGAAATGTTCAAACCAGGGGTAGAAGAGCTCAACCCAAGCAAACTGCTACTTCTCAGCAACCATCAGGAGGGAATGTTGTACCCTACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAGGGAAAGGAGTTTGAATTTGCAGAGGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACTGAAGCTAAGGGGTACTGGTACAGACACAACCGACGTTCCTTTAAAACAGCCGATGGCAACCAGCGTCAATTGCTGCCACGATGGTATTTTTACTATCTTGGAACAGGACCGCATGCCAAAGACCAGTATGGCACCGACATTGACGGAGTCTACTGGGTCGCTAGTAACCAGGCTGATGTCAATACCCCGGCTGACATTCTCGATCGGGACCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGCACGGTACTCCCTCAGGGTTACTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCACGCGCATCCAGTAGAGCCTCTAGTGCAGGATCGCGCAGTAGAGCCAATTCTGGCAATAGAACCCCTACCTCTGGTGTAACACCTGATATGGCTGATCAAATTGCTAGTCTTGTTCTGGCAAAACTTGGCAAGGATGCCACTAAGCCACAGCAAGTAACTAAGCAGACTGCCAAAGAAATCAGACAGAAAATTTTGAATAAGCCCCGCCAGAAGAGGAGCCCCAATAAACAATGCACTGTTCAGCAGTGTTTTGGGAAGAGAGGCCCCAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGATCCACAGTTCCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAGATTAGAGTTGGCCAAAGTGCAGAATTTGTCTGGGAATCTTGACGAGCCCCAGAAGGATGTTTATGAATTGCGCTATAATGGCGCAATTAGATTTGATAGTACACTTTCAGGTTTTGAGACCATAATGAAGGTGTTGAATGAGAATTTGAATGCATACCAA---CAACAGGATGGTACGATGAATATGAGTCCAAAACCACAGCGTCAGCGTGGTCAGAAGAACGGACAAGGAGAAAATGATAATATAAGTGTTGCAGCGCCCAAAAGCCGTGTGCAGCAAAATAAGATTAGAGAGTTGACTGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTTTACTGAAGACACCTCAGAAATA >5414_2007_N_AIV41910_1_2007_06_China_Human_Betacoronavirus_1 ATGTCTTTTACTCCTGGTAAGCAATCCAGTAGTAGAGCGTCCTCTGGAAATCGGTCTGGTAATGGCATCCTCAAGTGGGCCGATCAGTCCGACCAGTTTAGAAATGTTCAAACCAGGGGTAGAAGAGCTCAACCCAAGCAAACTGCTACTTCTCAGCAACCATCAGGAGGGAATGTTGTACCCTACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAGGGAAAGGAGTTTGAGTTTGCAGAAGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACTGAAGCTAAGGGGTACTGGTACAGACACAACAGACGTTCTTTTAAAACAGCCGATGGCAACCAGCGTCAACTGCTGCCACGATGGTATTTTTACTATCTGGGAACAGGACCGCATGCTAAAGACCAGTACGGCACCGATATTAACGGAGTCTACTGGGTCGCTAGCAACCAGGCTGATGTCAATACCCCGGCTGACATTGTCGATCGGGACCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGCACGGTACTCCCTCAGGGTTACTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCGCGCACATCCAGCAGAGCCTCTAGTGCAGGATCGCGTAGTAGAGCCAATTCTGGCAATAGAACCCCTACCTCTGGTGTAACACCTGACATGGCTGATCAAATTGCTAGTCTTGTTCTGGCAAAACTTGGCAAGGATGCCACCAAACCTCAGCAAGTAACTAAGCATACTGCCAAAGAAGTCAGACAGAAAATTTTGAATAAACCCCGCCAGAAGAGGAGCCCCAATAAACAATGCACTGTTCAGCAGTGTTTTGGTAAGAGAGGCCCTAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGACCCACAGTTCCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAAATTAGAGTTGGCCAAAGTGCAGAATTTATCTGGGAATCCTGACGAGCCTCAGAAGGATGTTTATGAATTGCGCTATAACGGCGCAATTAGGTTTGACAGTACACTTTCAGGCTTTGAGACCATAATGAAGGTGCTGAGTGAGAATTTGAATGCCTATCAA---CAACAAGATGGTATGATGAATATGAGTCCAAAACCACAGCGTCAGCGTGGTCATAAGAATGGACAAGGAGAAAATGATAATATAAGTGTTGCAGTGCCCAAAAGCCGCGTGCAGCAAAATAAGAGTATAGAGTTGACTGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTTTACTGAAGACACCTCAGAAATA >OC43_human_USA_851_15_1985_N_AGT51416_1_1985_01_08_USA_Human_Betacoronavirus_1 ATGTCTTTCACTCCTGGTAAGCAATCCAGTAGTAGAGCGTCCTCTGGAAATCGTTCTGGTAATGGCATCCTTAAGTGGGCCGATCAGTCCGACCAGTTTAGAAATGTTCAAACCAGGGGTAGAAGAGCTCAACCCAAGCAAACTTCTACTTCTCAGCAACCATCAGGAGGGAATGTTGTACCCTACTACTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAGGGAAAGGAGTTTGAGTTTGCAGAAGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACTGAAGCTAAGGGGTACTGGTACAGACACAACAGACGTTCTTTTAAAACAGCCGATGGCAACCAGCGTCAACTGCTGCCACGATGGTATTTTTACTATCTGGGAACAGGACCGCATGCTAAAGACCAGTACGGCACCGATTTTGACGGAGTCTTCTGGGTCGCTAGCAACCAGGCTGATGTCAATACCCCGGCTGACATTGTCGATCGGGACCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGTACGGTACTCCCTCAGGGTTACTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCGCGCACATCCAGCAGAGCCTCTAGTGCAGGATCGCGTAGTAGAGCCAATTCTGGCAATAGAGCCCCTACCTCTGGTGTAACACCTGACATGGCTGATCAAATTGCTAGTCTTGTTCTGGCAAAACTTGGCAAGGATGCCACTAAGCCTCAGCAAGTAACTAAGCATACTGCCAAAGAAGTCAGACAGAAAATTTTGAATAAGCCCCGCCAGAAGAGGAGCCCCAATAAACAATGCACTGTTCAGCAGTGTTTTGGTAAGAGAGGCCCCAATCAGAATTTTGGTGGTGGGGAAATGTTAAAACTTGGAACTAGTGACCCACAGTTCCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAGATTAGAGTTGGCCAAAGTGCAGAATTTATCTGGGAATCCTGACGAGCCCCAGAAGGATGTTTATGAATTGCGCTATAACGGCGCAATTAGGTTTGACAGTACACTTTCAGGTTTTGAGACCATAATGAAGGTGTTGAATGAGAATTTGAATGCCTATCAA---CAACAAGATGGTATGATGAATATGAGTCCAAAACCACAGCGTCAGCGTGGTCATAAGAATGGACAAGGAGAAAATGATAATATAAGTGTTGCAGCGCCCAAAAGCCGTGTGCAGCAAAATAAGAGTAGAGAGTTGACTGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTATACTGAAGACACCTCAGAAATA >DcCoV_HKU23_camel_Nigeria_NV1092_2015_NA_QEY10653_1_2015_11_23_Nigeria_Camel_Betacoronavirus_1 ATGTCTTTTACTCCTGGTAAGCAATCCAGTAGTAGAGCGTCCTCTGGAAATCGTTCTGGTAATGGCATCCTTAAGTGGGCCGATCAGTCCGACCAATCTAGAAATGTTCAAACCAGGGGTAGAAGAGCTCAACCCAAGCAAACTGCTACTTCTCAGCAATCATCAGGAGGGAATATTGTACCCTACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAAGGAAAGGAGTTTGAATTTGCAGAGGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACTGAAGCTAAAGGGTACTGGTACAAACACAACCGACGTTCTTTTAAAACAGCCGATGGCAACCAGCGTCAACTGCTGCCACGATGGTATTTTTACTATCTTGGAACAGGACCGCACGCTAAAGACCAGTATGGCACCGACATTGACGGAGTCTTCTGGGTTGCTAGTAACCAGGCTGATGTCAATACCCCGGCTGACATTGTCGATCGGGACCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGCACGGTACTCCCTCAGGGTTACTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCACGTGCATCCAGTAGAGCCTCTAGTGCAGGATCGCGTAGTAGAGCCAATTCTGGTAACAGAAACCCTACCTCTGGTGTAACACCTGATATGGCTGATCAAATTGCTAGTCTTGTTTTGGCCAAACTTGGCAAGGATGCCACTAAGCCACAGCAAGTAACTAAGCAGACTGCCAAAGAAATTAGACAGAAAATTTTGAATAAGCCCCGCCAGAAGAGGAGCCCCAATAAACAATGCACTGTTCAGCAGTGTTTTGGGAAGAGAGGCCCCAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGATCCACAGTTCCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGCTCAAGATTAGAGTTGGCCAAAGTGCAGAATTTGTCTGGGAATCTTGACGAGCCCCAGAAGGATGTTTATGAATTGCGCTATAATGGTGCAATTAGATTTGACAGTACACTTTCAGGTTTTGAGACCATAATGAAGGTGTTGAATGAGAATTTGAATGCATACCAA---CAACAAGATGGTATGATGAATATGAGTCCAAAACCACAGCGTCAGCGTGGCCAGAAGAATGGACAAGGAGAAAATGATAATATAAGTGTTGCAGCGCCCAAAAGTCGTGTGCAGCAAAATAAGAGTAGAGAGTTGACTGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTATACTGAAGACACCTCAGAAATA >DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_NA_QEY10629_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1 ATGTCTTTTACTCCTGGTAAGCAATCCAGTAGTAGAGCGTCCTCTGGAAATCGTTCTGGTAATGGCATCCTTAAGTGGGCCGATCAGTCCGATCAATCTAGAAACGTTCAAACCAGGGGTAGAAGAGCTCAACCCAAGCAAACTGTTACTTCTCAGCAACCATCAGGAGGGAATGTTGTACCCTACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAGGGAAAGGAGTTTGAATTTGCAGAAGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACTGAAGCTAAGGGGTACTGGTACAGACACAACAGACGTTCTTTTAAAACAGCCGATGGCAATCAGCGTCAATTGCTGCCACGATGGTATTTTTACTATCTTGGAACAGGACCGCATGCCAAAGACCAGTATGGCACCGACATTGACGGAGTCTTCTGGGTCGCTAGTAACCAGGCTGATGTCAATACCCCGGCTGACATTCTCGATCGGGACCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGCACGGTACTCCCTCAGGGTTACTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCACGCGCATCCAGTAGAGCCTCTAGTGCAGGATCGCGTAGCAGAGCCAATTCTGGCAATAGAACCCCTACCTCTGGTGTAACACCTGATATGGCTGATCAAATTGCTAGTCTTGTTCTGGCAAAACTTGGCAAGGATGCCACTAAGCCACAGCAAGTAACTAAGCAGACTGCCAAAGAAATCAGACAGAAAATTTTGAACAAGCCCCGCCAGAAGAGGAGCCCCAATAAACAATGCACTGTTCAGCAGTGTTTTGGGAAGAGAGGCCCCAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGACCCACAGTTCCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAGATTAGAGTTGGCCAAAGTGCAGAATTTGTCTGGGAACCTTGATGAGCCCCAGAAGGATGTTTATGAATTGCGCTACAATGGTGCAATTAGATTTGACAGTACACTTTCAGGTTTTGAGACCATAATGAAGGTGTTGAATGAGAATTTGAATGCATACCAA---CAACAAGATGGTATGATGAATATGAGTCCAAAACCACAGCGTCAACGTGGTCAGAAGAACGGACAAGGAGAAAATGATAATATAAGTGTTGCAGCGCCCAAAAGCCGTGTGCAGCAAAATAAGATTAGAGAGTTGACTGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTTTACTGAAGATACCTCAGAAATA >87309_Belgium_2003_N_AAX85673_1_NA_Belgium_Unknown_Betacoronavirus_1 ATGTCTTTTACTCCTGGTAAGCAATCCAGTAGTAGAGCGTCCTCTGGAAATCGGTCTGGTAATGGCATCCTCAAGTGGGCCGATCAGTCCGACCAGTTTAGAAATGTTCAAACCAGGGGTAGAAGAGCTCAACCCAAGCAAACTGCTACTTCTCAGCAACCATCAGGAGGGAATGTTGTACCCTACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAGGGAAAGGCGTTTGAGTTTGCAGAAGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACTGAAGCTAAGGGGTACTGGTACAGACACAACAGACGTTCTTTTAAAACAGCCGATGGCAACCAGCGTCAACTGCTGCCACGATGGTATTTTTACTATCTGGGAACAGGACCGCATGCTAAAGACCAGTACGGCACCGATATTGACGGAATCTACTGGGTCGCTAGCAACCAGGCTGATGTCAATACCCCGGCTGACATTGTCGATCGGGACCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGCACGGTACTCCCTCAGGGTTACTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCGCGCACATCCAGCAGAGCCTCTAGTGCAGGATCGCGTAGTAGAGCCAATTCTGGCAATAGAACCCTTACCTCTGGTGTAACACCTGACATGGCTGATCAAATTGCTAGTCTTGTTCTGGCAAAACTTGGCAAGGATGCCACTAAACCTCAGCAAGTAACTAAGCATACTGCCAAAGAAGTCAGACAGAAAATTTTGAATAAACCCCGCCAGAAGAGGAGCCCCAATAAACAATGCACTGTTCAGCAGTGTTTTGGTAAGAGAGGCCCTAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGACCCACAGTTCCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAGATTAGAGTTGGCCAAAGTGCAGAATTTATCTGGGAATCCTGACGAGCCTCAGAAGGATGTTTATGAATTGCGCTATAACGGCGCAATTAGGTTTGACAGTACACTTTCAGGCTTTGAGACCATAATGAAGGTGCTGAGTGAGAATTTGAATGCCTATCAA---CAACAAGATGGTATGATGAATATGAGTCCAAAACCACAGCGTCAGCGTGGTCATAAGAATGGACAAGGAGAAAATGATAATATAAGTGTTGCAGTGCCCAAAAGCCGCGTGCAGCAAAATAAGAGTATAGAGTTGACTGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTATACTGAAGACACCTCAGAAATA >TCG_23_N_BBM61483_1_2016_12_Japan_Unknown_Betacoronavirus_1 ATGTCTTTTACTCCTGGTAAGCAATCCAGTAGTAGAGCGTCCTCTGGAAATCGTTCTGGTAATGGCATCCTTAAGTGGGCCGATCAGTCCGACCAATTTAGAAATGTTCAAACCAGGGGTAGAAGAGCTCAACCCAAGCAAACTGTTACTTCTCAGCAACCATCAGGAGGGAATGTTGTGCCCTACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAGGGAAAGGAGTTTGAATTTGCAGAGGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACTGAAGCTAAAGGGTACTGGTACAGACACAACAGACGTTCCTTTAAAACAGCCGATGGCAACCAGCGTCAATTGCTGCCACGATGGTATTTTTACTATCTTGGAACAGGACCGCATGCTAAAGACCAGTATGGCACCGACATTGACGGAGTCTACTGGGTCGCTAGTAACCAGGCTGATGTCAACACCCCGGCTGACATTCTCGATCGGGACCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGTACGGTACTCCCTCAGGGTTATTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCACGCGCATCCAGTAGAGCCTCTAGTGCAGGATCGCGCAGTAGAGCCAATTCTGGCAATAGAACCCCTACCTCTGGTGTAACACCTGATATGGCTGATCAAATTGCTAGTCTTGTTCTGGCAAAACTTGGCAAGGATGCCACTAAGCCACAGCAAGTAACTAAGCAGACTGCCAAAGAAATCAGACAGAAAATTTTGAATAAGCCCCGCCAGAAGAGGAGCCCTAATAAACAATGCACTGTTCAGCAGTGTTTTGGGAAGAGAGGCCCCAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGATCCACAGTTCCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAGATTAGAGTTGGCCAAAGTGCAGAATTTGTCTGGGAATCTTGACGAGCCCCAGAAGGATGTTTATGAATTGCGCTATAATGGCGCAATTAGATTTGATAGTACACTTTCAGGTTTTGAGACCATAATGAAGGTGTTGAATGAGAATTTGAATGCATACCAA---CAACAGGATGGTACGATGAATATGAGTCCTAAACCACAGCGTCAGCGTGGTCAGAAGAACGGACAAGGAGAAAATGATAATATAAGTGTTGCAGCGCCCAAAAGCCGGCTGCAGCAAAATAAAATTAGAGAGTTGACTGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTTTACTGAAGACACCTCAGAAATA >HCoV_OC43_Seattle_USA_SC3118_2015_NA_ARU07614_1_2015_USA_Human_Betacoronavirus_1 ATGTCTTTTACTCCTGGTAAGCAATCCAGTAGTAGAGCGTCCTCTGGAAATCGGTCTGGTAATGGCATCCTCAAGTGGGCCGATCAGTCCGACCAGTTTAGAAATTTTCAAACCAGGGGTAGAAGAGCTCAACCCAAGCAAACTGCTACTTCTCAGCAACCATCAGGAGGGAATGTTGTACCCCACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAGGGAAAGGAGTTTGAGTTTGCAGAAGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACTGAAGCTAAGGGGTACTGGTACAGACACAACAGACGTTCTTTTAAAACAGCCGATGGCAACCAGCGTCAACTGCTGCCACGATGGTATTTTTACTATCTGGGAACCGGACCGCATGCTAAAGACCAGTATGGCACCGATATTAACGGAGTCTACTGGGTCGCTAGCAACCAGGCTGATGTCAATACCCCGGCTGACATTGTCGATCGGGACCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGCACGGTACTCCCTCAGGGTTACTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCGCGCACATCCAGCAGAGCCTCTAGTGCAGGATCGCGTAGTAGAGCCAATTCTGGCAATAGAACCCCTACCTCTGGTGTAACACCTGACATGGCTGATCAAATTGCTAGTCTTGTTCTGGCAAAACTTGGCAAGGATGCCACCAAACCTCAGCAAGTAACTAAGCATACTGCCAAAGAAGTCAGACAGAAAATTTTGAATAAACCCCGCCAGAAGAGGAGCCCCAATAAACAATGCACTGTTCAGCAGTGTTTTGGTAAGAGAGGCCCTAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGACCCACAGTTCCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAAATTAGAGTTGGCCAAAGTGCAGAATTTATCTGGGAATCCTGATGAGCCTCAGAAGGATGTTTATGAATTGCGCTATAACGGCGCAATTAGGTTTGACAGTACACTTTCAGGCTTTGAGACCATAATGAAGGTGCTGAGTGAGAATTTGAATGCCTATCAA---CAACAAGATGGTATGATGAATATGAGTCCAAAACCACAGCGTCAGCGTGGTCATAAGAATGGACAAGGAGAAAATGATAATATAAGTGTTGCAGTGCCCAAAAGCCGCGTGCAGCAAAATAAGAGTATAGAGTTGACTGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTTTACTGAAGACACCTCAGAAATA >IWT_21_N_BBM61113_1_2016_12_Japan_Unknown_Betacoronavirus_1 ATGTCTTTTACTCCTGGTAAGCAATCCAGTAGTAGAGCGTCCTCTGGAAATCGTTCTGGTAATGGCATCCTTAAGTGGGCCGATCAGTCCGACCAATCTAGAAATGTTCAAACCAGGGGTAGAAGAGCTCAACCCAAGCAAACTGTTACTTCTCAGCAACCATCAGGAGGGAATGTTGTGCCCTACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAGGGAAAGGAGTTTGAATTTGCAGAGGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACTGAAGCTAAAGGGTACTGGTACAGACACAACAGACGTTCCTTTAAAACAGCCGATGGCAACCAGCGTCAATTGCTGCCACGATGGTATTTTTACTATCTTGGAACAGGACCGCATGCCAAAGACCAGTATGGCACCGACATTGACGGTGTCTACTGGGTCGCTAGTAACCAGGCTGATGTCAACACCCCGGCTGACATTCTTGATCGGGACCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGTACGGTACTCCCTCAGGGTTATTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCACGCGCATCCAGTAGAGCTTCTAGTGCAGGATCGCGCAGTAGAGCCAATTTTGGCAATAGAACCTCTACCTCTGGTGTAACACCTGATATGGCTGATCAAATTGCTAGTCTTGTTCTGGCAAAACTTGGCAAGGATGCCACTAAGCCACAGCAAGTAACTAAGCAGACTGCCAAAGAAATCAGACAGAAAATTTTGAATAAGCCCCGCCAGAAGAGGAGCCCTAATAAACAATGCACTGTTCAGCAGTGTTTTGGGAAGAGAGGCCCCAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGATCCACAGTTCCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAGATTAGAGTTGGCCAAAGTGCAGAATTTGTCTGGGAATCTTGACGAGCCTCAGAAGGATGTTTATGAATTGCGCTATAATGGCGCAATTAGATTTGATAGTACACTTTCAGGTTTTGAGACTATAATGAAGGTGTTGAATGAGAATTTGAATGCATACCAA---CAACAGGATGGTACGATGAATATGAGTCCAAAACCACAGCGTCAGCGTGGTCAGAAGAACGGACAAGGAGAAAATGATAATATAAGTGTTGCAGCGCCCAAAAGCCGTGTGCAGCAAAATAAAATTAGAGAGTTGACTGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTTTACTGAAGACACCTCAGAAATA >Mebus_N_AAA66397_1_NA_NA_Unknown_Betacoronavirus_1 ATGTCTTTTACTCCTGGTAAGCAATCCAGTAGTAGAGCGTCCTTTGGAAATCGTTCTGGTAATGGCATCCTTAAGTGGGCCGATCAGTCCGACCAATCTAGAAATGTTCAAACCAGGGGTAGAAGAGCTCAACCCAAGCAAACTGCTACTTCTCAGCTACCATCAGGAGGGAATGTTGTACCCTACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAAGGAAAGGAGTTTGAATTTGCAGAGGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACTGAAGCTAAGGGGTACTGGTACAGACACAACAGACGTTCTTTTAAAACAGCCGATGGCAACCAGCGTCAACTGCTGCCACGATGGTATTTTTACTATCTTGGAACAGGACCGCATGCCAAAGACCAGTATGGCACCGATATTGACGGAGTCTTCTGGGTCGCTAGTAACCAGGCTGATGTCAATACCCCGGCTGACATTCTCGATCGGGACCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGCACGGTACTCCCTCAGGGTTACTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCACGCGCATCCAGTAGAGCCTCTAGTGCAGGATCGCGTAGTAGAGCCAATTCTGGCAACAGAACCCCTACCTCTGGTGTAACACCTGATATGGCTGATCAAATTGCTAGTCTTGTTCTGGCAAAACTTGGCAAGGATGCCACTAAGCCACAGCAAGTAACTAAGCAGACTGCCAAAGAAATCAGACAGAAAATTTTGAATAAGCCCCGCCAGAAGAGGAGCCCCAATAAACAATGCACTGTTCAGCAGTGTTTTGGGAAGAGAGGCCCCAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGACCCACAGTTCCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAGATTAGAGTTGGCCAAAGTGCAGAATTTGTCTGGGAATCTTGACGAGCCCCAGAAGGATGTTTATGAATTGCGCTATAATGGTGCAATTAGATTTGACAGTACACTTTCAGGTTTTGAGACCATAATGAAGGTGTTGAATGAGAATTTGAATGCATATCAA---CAACAAGATGGTATGATGAATATGAGTCCAAAACCACAGCGTCAGCGTGGTCAGAAGAATGGACAAGGAGAAAATGATAATATAAGTGTTGCAGCGCCTAAAAGCCGTGTGCAGCAAAATAAGAGTAGAGAGTTGACTGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTATACTGAAGACACCTCAGAAATA >TCG_25_N_BBM61503_1_2017_12_Japan_Unknown_Betacoronavirus_1 ATGTCTTTTACTCCTGGTAAGCAATCCAGTAGTAGAGCGTCCTCTGGAAATCGTTCTGGTAATGGCATCCTTAAGTGGGCCGATCAGTCCGACCAATCTAGAAATGTTCAAACCAGGGGTAGAAGAGCTCAACCCAAGCAAACTGCTACTTCTCAGCAACCATCAGGAGGGAATGTTGTACCCTACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAGGGAAAGGAGTTTGAATTTGCAGAGGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACTGAAGCTAAAGGGTACTGGTACAGACACAACAGACGTTCCTTTAAAACAGCCGATGGCAACCAGCGTCAATTGCTTCCACGATGGTATTTTTACTATCTTGGAACAGGACCGCATGCCAAAGACCAGTATGGCACCGACATTGACGGAGTCTTCTGGGTCGCTAGTAATCAGGCTGATGTCAATACCCCGGCTGACATTCTCGATCGGGACCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGCACGGTACTCCCTCAGGGTTACTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCACGCGCATCCAGTAGAGCCTCTAGTGCAGGATCGCGCAGTAGAGCCAATTCTGGCAATAGAACCCCTACCTCTGGTGTAACACCTGATATGGCTGATCAAATTGCTAGTCTTGTTCTGGCAAAACTTGGCAAGGACGCCACTAAGCCACAGCAAGTAACTAAGCAGACTGCCAAGGAAATCAGACAGAAAATTTTGAATAAGCCCCGCCAAAAGAGGAGCCCCAATAAACAATGCACTGTTCAGCAGTGTTTTGGGAAGAGAGGCCCCAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGATCCACAGTTTCCGATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCTAGATTAGAGTTGGCCAAAGTGCAGAATTTGTCTGGGAATCTTGACGAGCCCCAGAAGGATGTTTATGAATTGCGCTATAATGGCGCAATTAGATTTGATAGTACACTTTCAGGTTTTGAGACCATAATGAAGGTGTTGAATGAGAATTTGAATGCATACCAA---CAACAGGATGGTACGATGAATATGAGTCCAAAACCACAGCGTCAGCGTGGTCAGAAGAACGGACAAGGAGAAAATGATAATATAAGTGTTGCAGCGCCCAAAAGCCGTGTGCAGCAAAATAAGATTAGAGAGTTGACTGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTTTACTGAAGACACCTCAGAAATA >N08_33B_360X_NA_ARE30012_1_2016_USA_Human_Betacoronavirus_1 ATGTCTTTTACTCCTGGTAAGCAATCCAGTAGTAGAGCGTCCTCTGGAAATCGGTCTGGTAATGGCATCCTCAAGTGGGCCGATCAGTCCGACCAGTTTAGAAATGTTCAAACCAGGGGTAGAAGAGCTCAACCCAAGCAAACTGCTACTTCTCAGCAACCATCAGGAGGGAATGTTGTACCCTACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAGGGAAAGGAGTTTGAGTTTGCAGAAGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACTGAAGCTAAGGGGTACTGGTACAGACACAACAGACGTTCTTTTAAAACAGCCGATGGCAACCAGCGTCAACTGCTGCCACGATGGTATTTTTACTATCTGGGAACAGGACCGCATGCTAAAGACCAGTACGGCACCGATATTAACGGAGTCTACTGGGTCGCTAGCAACCAGGCTGATGTCAATACCCCGGCTGACATTGTCGATCGGGACCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGCACGGTACTCCCTCAGGGTTACTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCGCGCACATCCAGCAGAGCCTCTAGTGCAGGATCGCGTAGTAGAGCCAATTCTGGCAATAGAACCCCTACCTCTGGTGTAACACCTGACATGGCTGATCAAATTGCTAGTCTTGTTCTGGCAAAACTTGGCAAGGATGCCACCAAACCTCAGCAAGTAACTAAGCATACTGCCAAAGAAGTCAGACAGAAAATTTTGAATAAACCCCGCCAGAAGAGGAGCCCCAATAAACAATGCACTGTTCAGCAGTGTTTTGGTAAGAGAGGCCCTAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGACCCACAGTTCCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAAATTAGAGTTGGCCAAAGTGCAGAATTTATCTGGGAATCCTGACGAGCCTCAGAAGGATGTTTATGAATTGCGCTATAACGGCGCAATTAGGTTTGACAGTACACTTTCAGGCTTTGAGACCATAATGAAGGTGCTGAGTGAGAATTTGAATGCCTATCAA---CAACAAGATGGTATGATGAATATGAGTCCAAAACCACAGCGTCAGCGTGGTCATAAGAATGGACAAGGAGAAAATGATAATATAAGTGTTGCAGTGCCCAAAAGCCGCGTGCAGCAAAATAAGAGTATAGAGTTGACTGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTTTACTGAAGACACCTCAGAAATA >VW572_N_AAY68302_1_NA_Belgium_Unknown_Betacoronavirus_1 ATGTCTTTCACTCCTGGCAAGCAGCCCAGCAGTAGAGCGTCCTCTGGAAATCGTTCTGGTAATGGCATCCTTAAGTGGGCCGATCAGTCCGACCAGTCTAGAAATGTTCAAACCAGGGGTAGAAGAGTTCAATCCAAGCAAACTGCTACTTCTCAGCAACCATCAGGAGGGACTGTTGTACCCTACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAGGGAAAGGAGTTTGAATTTGCAGAGGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACTGAAGCTAAGGGGTACTGGTACAGACACAACAGACGTTCTTTTAAAACAGCCGATGGCAATCAGCGTCAACTGCTGCCACGATGGTACTTTTACTACCTGGGAACAGGACCGTATGCCAAAGACCATTACGGCACCGACATTGACGGAGTCTTCTGGGTCGCTAGTAACCAGGCTGATGTTAATACCCCGGCTGACATTGTCGATCGGGATCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGCACGGTACTCCCTCAAGGTTACTATATTGAAGGCTCAGGAAGGTCTGTTCCTAATTCCAGATCTACTTCACGCGCATCCAATAGAGCCCCTAGTTCAGGATCGCGTAGTAGAGCCAATTCTGGCAATAGAACCTCTACCTCTGGTGTAACACCTGACATGGCTGATCAAATTGCTAGTCTTGTTCTGGCAAAACTTGGCAAGGATGCCACTAAGCCTCAGCAAGTAACTAAGCAGACTGCCAAAGAGGTCAGACAAAAAATTTTGAATAAGCCCCGCCAGAAGAGGAGCCCCAACAAACAATGCACTGTTCAGCAGTGTTTTGGGAAGAGAGGCCCCAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGACCCACAGTTCCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAGATTAGAGTTGGCCAAAGTGCAGAATTCGTCTGGGAATCTTGACGAGCCCCAGAAGGATGTTTATGAATTGCGCTATAATGGCGCGATTAGATTTGATAGCACACTCTCAGGTTTCGAAACCATTATGAAGGTGCTTAACCAGAATTTGAATGCCTATCAACATCAGGAAGATGGGATGATTAATATTAGTCCTAAACCACAGCGTCAGCGTGGTCAGAAGAATGGACAAGTAGAAAATGATAATGTAAGTGTTGCAGTGCCTAAAAGCCGTGTGCAGCAAAATAAGAGTAGAGAGTTGACTGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTATACTGAAGATACCTCAGAAATA >IWT_19_N_BBM61093_1_2016_12_Japan_Unknown_Betacoronavirus_1 ATGTCTTTTACTCCTGGTAAGCAATCCAGTAGTAGAGCGTCCTCTGGAAATCGTTCTGGTAATGGCATCCTTAAGTGGGCCGATCAGTCCGACCAATCTAGAAATGTTCAAACCAGGGGTAGAAGAGCTCAACCCAAGCAAACTGTTACTTCTCAGCAACCATCAGGAGGGAATGTTGTGCCCTACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAGGGAAAGGAGTTTGAATTTGCAGAGGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACGGAAGCTAAAGGGTACTGGTACAGACACAACAGACGTTCCTTTAAAACAGCCGATGGCAACCAGCGTCAATTGCTGCCACGATGGTATTTTTACTATCTTGGAACAGGACCGCATGCCAAAGACCAGTATGGCACCGACATTGACGGTGTCTACTGGGTCGCTAGTAACCAGGCTAATGTTAACACCCCGGCTGACATTCTTGATCGGGACCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGTACGGTACTCCCTCAGGGTTATTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCACGCGCATCCAGTAGAGCCTCTAGTGCAGGATCGCGCAGTAGAGCCAATTCTGGCAATAGAACCTCTACCTCTGGTGTAACACCTGATATGGCTGATCAAATTGCTAGTCTTGTTCTGGCAAAACTTGGCAAGGATGCCACTAAGCCACAGCAAGTAACTAAGCAGACTGCCAAAGAAATCAGACAGAAAATTTTGAATAAGCCCCGCCAGAAGAGGAGCCCTAATAAACAATGCACTGTTCAGCAGTGTTTTGGGAAGAGAGGCCCCAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGATCCACAGTTCCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAGATTAGAGTTGGCCAAAGTGCAGAATTTGTCTGGGAATCTTGACGAGCCCCAGAAGGATGTTTATGAATTGCGCTATAATGGCGCAATTAGATTTGATAGTACACTTTCAGGTTTTGAGACCATAATGAAGGTGTTGAATGAGAATTTGAATGCATACCAA---CAACAGGATGGTACGATGAATATGAGTCCAAAACCACAGCGTCAGCGTGGTCAGAAGAACGGACAAGGAGAAAATGATAATATAAGTGTTGCAGCGCCCAAAAGCCGTGTGCAGCAAAATAAAATTAGAGAGTTGACTGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTTTACTGAAGACACCTCAGAAATA >CC_23_N_AXX83329_1_2015_07_13_China_Unknown_Betacoronavirus_1 ATGTCTTTTACTCCTGGTAAGCAATCCAGTAGTAGAGCGTCCTCTGGAAATCGGTCTGGTAATGGCATCCTCAAGTGGGCCGATCAGTCCGACCAGTTTAGAAATGTTCAAACCAGGGGTAGAAGAGCTCAACCCAAGCAAACTGCTACTTCTCAGCAACCATCAGGAGGGAATGTTGTACCCTACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAGGGAAAGGCGTTTGAGTTTGCAGAAGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACTGAAGCTAAGGGGTACTGGTACAGACACAACAGACGTTCTTTTAAAACAGCCGATGGCAACCAGCGTCAACTGCTGCCACGATGGTATTTTTACTATCTGGGAACAGGACCGCATGCTAAAGACCAGTATGGCACCGATATTGACGGAGTCTACTGGGTCGCTAGCAGCCAGGCTGATGTCAATACCCCGGCTGACATTGTCGATCGGGACCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGTACGATACTCCCTCAGGGTTACTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCGCGCACATCCAGCAGAGCCTCTAGTGCAGGATCGCGTAGTAGAGCCAATTCTGGCAATAGAACCCCTACCTCTGGTGTAACACCTGACATGGCTGATCAAATTGCTAGTCTTGTTTTGGCAAAACTTGGCAAGGATGCCACTAAACCTCAGCAAGTAACTAAGCATACTGCCAAAGAAGTCAGACAGAAAATTTTGAATAAACCCCGCCAGAAGAGGAGCCCCAATAAACAATGCACTGTTCAGCAGTGTTTTGGCAAGAGAGGCCCTAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGACCCACAGTTCCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAGATTAGAGTTGGCCAAAGTGCAGAATTTATCTGGGAATCCTGACGAGCCTCAGAAGGATGTTTATGAATTGCGTTATAACGGCGCAATTAGGTTTGACAGTACACTTTCAGGCTTTGAGACCATAATGAAGGTGCTGAGTGAGAATTTGAATGCCTATCAA---CAACAAGATGGT---ATGAATATGAGTCCAAAACCACAGCGTCAGCGTGGTCATAAGAATGGACAAGGAGAAAATGATAATATAAGTGTTGCAGTGCCCAAAAGCCGCGTGCAGCAAAATAAGAGTATAGAGTTGACTTCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTATACTGAAGACACCTCAGAAATA >3184A_2012_N_AIV41850_1_2012_03_China_Human_Betacoronavirus_1 ATGTCTTTTACTCCTGGTAAGCAATCCAGTAGTAGAGCGTCCTCTGGATATCGGTCTGGTAATGGCATCCTCAAGTGGGCCGATCAGTCCGACCAGTTTAGAAATGTTCAAACCAGGGGTAGAAGAGCTCAACCCAAGCAAACTGCTACTTCTCAGCAACCATCAGGAGGGAATGTTGTACCCTACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAGGGAAAGGCGTTTGAGTTTGCAGAAGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACTGAAGCTAAGGGGTACTGGTACAGACACAACAGACGTTCTTTTAAAACAGCCGATGGCAACCAGCGTCAACTGCTGCCACGATGGTATTTTTACTATCTGGGAACAGGACCGCATGCTAAAGACCAGTATGGCACCGATATTGACGGAGTCTACTGGGTCGCTAGCAACCAGGCTGATGTCAATACCCCGGCTGACATTGTCGATCGGGACCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGCACGGTACTCCCTCAGGGTTACTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCGCGCACATCCAGCAGAGCCTCTAGTGCAGGATCGCGTAGTAGAGCCAATTCTGGCAATAGAACCCCTACCTCTGGTGTAACACCTGACATGGCTGATCAAATTGCTAGTCTTGTTTTAGCAAAACTTGGCAAGGATGCCACTAAACCTCAGCAAGTAACTAAGCATACTGCCAAAGAAGTCAGACAGAAAATTTTGAATAAACCCCGCCAGAAGAGGAGCCCCAATAAACAATGCACTGTTCAGCAGTGTTTTGGTAAGAGAGGCCCTAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGACCCACAGTTCCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAGATTAGAGTTGGCCAAAGTGCAGAATTTATCTGGGAATCCTGACGAGCCTCAGAAGGATGTTTATGAATTGCGTTATAACGGCGCAATTAGGTTTGACAGTACACTTTCAGGCTTTGAGACCATAATGAAGGTGCTGAGTGAGAATTTGAATGCCTATCAA---CAACAAGATGGT---ATGAATATGAGTCCAAAACCACAGCGTCAGCGTGGTCATAAGAATGGACAAGGAGAAAATGATAATATAAGTGTTGCAGTGCCCAAAAGCCGCGTGCAGCAAAATAAGAGTATAGAGTTGACTGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTATACTGAAGACACCTCAGAAATA >5566_2007_N_AIV41964_1_2007_06_China_Human_Betacoronavirus_1 ATGTCTTTTACTCCTGGTAAGCAATCCAGTAGTAGAGCGTCCTCTGGAAATCGGTCTGGTAATGGCATCCTCAAGTGGGCCGATCAGTCCGACCAGTTTAGAAATGTTCAAACCAGGGGTAGAAGAGCTCAACCCAAGCAAACTGCTACTTCTCAGCAACCATCAGGAGGGAATGTTGTACCCTACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAGGGAAAGGAGTTTGAGTTTGCAGAAGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACTGAAGCTAAGGGGTACTGGTACAGACACAACAGACGTTCTTTTAAAACAGCCGATGGCAACCAGCGTCAACTGCTGCCACGATGGTATTTTTACTATCTGGGAACAGGACCGCATGCTAAAGACCAGTACGGCACCGATATTAACGGAGTCTACTGGGTCGCTAGCAACCAGGCTGATGTCAATACCCCGGCTGACATTGTCGATCGGGACCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGCACGGTACTCCCTCAGGGTTACTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCGCGCACATCCAGCAGAGCCTCTAGTGCAGGATCGCGTAGTAGAGCCAATTCTGGCAATAGAACCCCTACCTCTGGTGTAACACCTGACATGGCTGATCAAATTGCTAGTCTTGTTCTGGCAAAACTTGGCAAGGATGCCACCAAACCTCAGCAAGTAACTAAGCATACTGCCAAAGAAGTCAGACAGAAAATTTTGAATAAACCCCGCCAGAAGAGGAGCCCCAATAAACAATGCACTGTTCAGCAGTGTTTTGGTAAGAGAGGCCCTAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGACCCACAGTTCCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAAATTAGAGTTGGCCAAAGTGCAGAATTTATCTGGGAATCCTGACGAGCCTCAGAAGGATGTTTATGAATTGCGCTATAACGGCGCAATTAGGTTTGACAGTACACTTTCAGGCTTTGAGACCATAATGAAGGTGCTGAGTGAGAATTTGAATGCCTATCAA---CAACAAGATGGTATGATGAATATGAGTCCAAAACCACAGCGTCAGCGTGGTCATAAGAATGGACAAGGAGAAAATGATAATATAAGTGTTGCAGTGCCCAAAAGCCGCGTGCAGCAAAATAAGAGTATAGAGTTGACTGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTTTACTGAAGACACCTCAGAAATA >IWT_25_N_BBM61173_1_2017_01_Japan_Unknown_Betacoronavirus_1 ATGTCTTTTACTCCTGGTAAGCAATCCAGTAGTAGAGCGTCCTCTGGAAATCGTTCTGGTAATGGCATCCTTAAGTGGGCCGATCAGTCCGACCAATCTAGAAATGTTCAAACCAGGGGTAGAAGAGCTCAACCCAAGCAAACTGTTACTTCTCAGCAACCATCAGGAGGGAATGTTGTGCCCTACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAGGGAAAGGAGTTTGAATTTGCAGAGGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACTGAAGCTAAAGGGTACTGGTACAGACACAACAGACGTTCCTTTAAAACAGCCGATGGCAACCAGCGTCAATTGCTGCCACGATGGTATTTTTACTATCTTGGAACAGGACCGCATGCTAAAGACCAGTATGGCACCGACATTGACGGAGTCTACTGGGTCGCTAGTAACCAGGCTGATGTCAACACCCCGGCTGACATTCTCGATCGGGACCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGTACGGTACTCCCTCAGGGTTATTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCACGCGCATCCAGTAGAGCCTCTAGTGCAGGATCGCGCAGTAGAGCCAATTCTGGCAATAGAACCCCTACCTCTGGTGTAACACCTGATATGGCTGATCAAATTGCTAGTCTTGTTCTGGCAAAACTTGGCAAGGATGCCACTAAGCCACAGCAAGTAACTAAGCATACTGCCAAAGAAATCAGACAGAAAATTTTGAATAAGCCCCGCCAGAAGAGGAGTCCTAATAAACAATGCACTGTTCAGCAGTGTTTTGGTAAGAGAGGCCCCAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGATCCACAGTTCCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAGATTAGAGTTGGCCAAAGTGCAGAATTTGTCTGGGAATCTTGACGAGCCCCAGAAGGATGTTTATGAATTGCGCTATAATGGCGCAATTAGATTTGATAGTACACTTTCAGGTTTTGAGACCATAATGAAGGTGTTGAATGAGAATCTGAATGCATACCAA---CAACAGGATGGTACGATGAATATGAGTCCAAAACCACAGCGTCAGCGTGGTCAGAAGAACGGACAAGGAGAAAATGATAATATAAGTGTTGCAGCGCCCAAAAGCCGTGTGCAGCAAAATAAAATTAGAGAGTTGACTGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTTTACTGAAGACACCTCAGAAATA >IWT_26_N_BBM61183_1_2017_02_Japan_Unknown_Betacoronavirus_1 ATGTCTTTTACTCCTGGTAAGCAATCCAGTAGTAGAGCGTCCTCTGGAAATCGTTCTGGTAATGGCATCCTTAAGTGGGCCGATCAGTCCGACCAATCTAGAAATGTTCAAACCAGGGGTAGAAGAGCTCAACCCAAGCAAACTGTTACTTCTCAGCAACCATCAGGAGGGAATGTTGTGCCCTACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAGGGAAAGGAGTTTGAATTTGCAGAGGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACTGAAGCTAAAGGGTACTGGTACAGACACAACAGACGTTCCTTTAAAACAGCCGATGGCAACCAGCGTCAATTGCTGCCACGATGGTATTTTTACTATCTTGGAACAGGACCGCATGCTAAAGACCAGTATGGCACCGACATTGACGGAGTCTACTGGGTCGCTAGTAACCAGGCTGATGTCAACACCCCGGCTGACATTCTCGATCGGGACCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGTACGGTACTCCCTCAGGGTTATTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCACGCGCATCCAGTAGAGCCTCTAGTGCAGGATCGCGCAGTAGAGCCAATTCTGGCAATAGAACCCCTACCTCTGGTGTAACACCTGATATGGCTGATCAAATTGCTAGTCTTGTTCTGGCAAAACTTGGCAAGGATGCCACTAAGCCACAGCAAGTAACTAAGCATACTGCCAAAGAAATCAGACAGAAAATTTTGAATAAGCCCCGCCAGAAGAGGAGTCCTAATAAACAATGCACTGTTCAGCAGTGTTTTGGTAAGAGAGGCCCCAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGATCCACAGTTCCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAGATTAGAGTTGGCCAAAGTGCAGAATTTGTCTGGGAATCTTGACGAGCCCCAGAAGGATGTTTATGAATTGCGCTATAATGGCGCAATTAGATTTGATAGTACACTTTCAGGTTTTGAGACCATAATGAAGGTGTTGAATGAGAATCTGAATGCATACCAA---CAACAGGATGGTACGATGAATATGAGTCCAAAACCACAGCGTCAGCGTGGTCAGAAGAACGGACAAGGAGAAAATGATAATATAAGTGTTGCAGCGCCCAAAAGCCGTGTGCAGCAAAATAAAATTAGAGAGTTGACTGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTTTACTGAAGACACCTCAGAAATA >E_AH187_TC_NA_ACT11001_1_2000_01_01_USA_Cattle_Betacoronavirus_1 ATGTCTTTTACTCCTGGTAAGCAATCCAGTAGTAGAGCGTCCTCTGGAAATCGTTCTGGTAATGGCATCCTTAAGTGGGCCGATCAGTCCGACCAATCTAGAAATGTTCAAACCAGGGGTAGAAGAGCTCAACCCAAGCAAACTGTTACTTCTCAGCAACCATCAGGAGGGAATGTTGTACCCTACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAGGGAAAGGAGTTTGAATTTGCAGAGGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACTGAAGCTAAGGGGTACTGGTACAGACACAACCGACGTTCCTTTAAAACAGCCGATGGCAACCAGCGTCAATTGCTGCCACGATGGTATTTTTACTATCTTGGAACAGGACCGCATGCCAAAGACCAGTATGGCACCGACATTGACGGAGTCTACTGGGTCGCTAGTAACCAGGCTGATGTCAATACCCCGGCTGACATTCTCGATCGGGACCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGCACGGTACTCCCTCAGGGTTACTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCACGCGCATCCAGTAGAGCCTCTAGTGCAGGATCGCGCAGTAGAGCCAATTCTGGCAATAGAACCCCTACCTCTGGTGTAACACCTGATATGGCTGATCAAATTGCTAGTCTTGTTCTGGCAAAACTTGGCAAGGATGCCACTAAGCCACAGCAAGTAACTAAGCAGACTGCCAAAGAAATCAGACAGAAAATTTTGAATAAGCCCCGCCAGAAGAGGAGCCCCAATAAACAATGCACTGTTCAGCAGTGTTTTGGGAAGAGAGGCCCCAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGATCCACAGTTCCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAGATTAGAGTTGGCCAAAGTGCAGAATTTGTCTGGGAATCTTGACGAGCCCCAGAAGGATGTTTATGAATTGCGCTATAATGGCGCAATTAGATTTGATAGTACACTTTCAGGTTTTGAGACCATAATGAAGGTGTTGAATGAGAATTTGAATGCATACCAA---CAACAGGATGGTACGATGAATATGAGTCCAAAACCACAGCGTCAGCGTGGTCAGAAGAACGGACAAGGAGAAAATGATAATATAAGTGTTGCAGCGCCCAAAAGCCGTGTGCAGCAAAATAAGATTAGAGAGTTGACTGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTTTACTGAAGACACCTCAGAAATA >BCoV_ENT_N_NP_150083_1_NA_NA_Unknown_Betacoronavirus_1 ATGTCTTTTACTCCTGGTAAGCAATCCAGTAGTAGAGCGTCCTCTGGAAATCGTTCTGGTAATGGCATCCTTAAGTGGGCCGATCAGTCCGACCAATCTAGAAATGTTCAAACCAGGGGTAGAAGAGCTCAACCCAAGCAAACTGCTACTTCTCAGCAACCATCAGGAGGGAATGTTGTACCCTACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAGGGAAAGGAGTTTGAATTTGCAGAGGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACTGAAGCTAAGGGGTACTGGTACAGACACAACCGACGTTCCTTTAAAACAGCCGATGGCAACCAGCGTCAATTGCTACCACGATGGTATTTTTACTATCTTGGAACAGGACCGCATGCCAAAGACCAGTATGGCACCGACATTGACGGAGTCTACTGGGTCGCTAGTAACCAGGCTGATGTCAATACCCCGGCTGACATTCTCGATCGGGACCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGCACGGTACTCCCTCAGGGTTACTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCACGCGCATCCAGTAGAGCCTCTAGTGCAGGATCGCGCAGTAGAGCCAATTCTGGCAATAGAACCCCTACCTCTGGTGTAACACCTGATATGGCTGATCAAATTGCTAGTCTTGTTCTGGCTAAACTTGGCAAGGATGCCGCTAAGCCACAGCAAGTAACTAAGCAGACTGCCAAAGAAATCAGACAGAAAATTTTGAATAAACCCCGCCAGAAGAGGAGCCCCAATAAACAATGCACTGTTCAGCAGTGTTTTGGGAAGAGAGGCCCCAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGATCCACAGTTCCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAGATTAGAGTTGGCCAAAGTGCAGAATTTGTCTGGGAATCTTGACGAGCCCCAGAAGGATGTTTATGAATTGCGCTATAATGGCGCAATTAGATTTGATAGTACACTTTCAGGTTTTGAGACCATAATGAAGGTGTTGAATGAGAATTTGAATGCATACCAA---CAACAGGATGGTACGATGAATATGAGTCCAAAACCACAGCGTCAGCGTGGTCAGAAGAACGGACAAGGAGAAAATGATAATATAAGTGTTGCAGCGCCCAAAAGCCGTGTGCAGCAAAATAAGATTAGAGAGTTGACTGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTTTACTGAAGACACCTCAGAAATA >3582_2006_N_AIV41856_1_2006_09_China_Human_Betacoronavirus_1 ATGTCTTTTACTCCTGGTAAGCAATCCAGTAGTAGAGCGTCCTCTGGAAATCGGTCTGGTAATGGCATCCTCAAGTGGGCCGATCAGTCCGACCAGTTTAGAAATGTTCAAACCAGGGGTAGAAGAGCTCAACCCAAGCAAACTGCTACTTCTCAGCAACCATCAGGAGGGAATGTTGTACCCTACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAGGGAAAGGAGTTTGAGTTTGCAGAAGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACTGAAGCTAAGGGGTACTGGTACAGACACAACAGACGTTCTTTTAAAACAGCCGATGGCAACCAGCGTCAACTGCTGCCACGATGGTATTTTTACTATCTGGGAACAGGACCGCATGCTAAAGACCAGTACGGCACCGATATTAACGGAGTCTACTGGGTCGCTAGCAACCAGGCTGATGTCAATACCCCGGCTGACATTGTCGATCGGGACCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGCACGGTACTCCCTCAGGGTTACTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCGCGCACATCCAGCAGAGCCTCTAGTGCAGGATCGCGTAGTAGAGCCAATTCTGGCAATAGAACCCCTACCTCTGGTGTAACACCTGACATGGCTGATCAAATTGCTAGTCTTGTTCTGGCAAAACTTGGCAAGGATGCCACCAAACCTCAGCAAGTAACTAAGCATACTGCCAAAGAAGTCAGACAGAAAATTTTGAATAAACCCCGCCAGAAGAGGAGCCCCAATAAACAATGCACTGTTCAGCAGTGTTTTGGTAAGAGAGGCCCTAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGACCCACAGTTCCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAAATTAGAGTTGGCCAAAGTGCAGAATTTATCTGGGAATCCTGACGAGCCTCAGAAGGATGTTTATGAATTGCGCTATAACGGCGCAATTAGGTTTGACAGTACACTTTCAGGCTTTGAGACCATAATGAAGGTGCTGAGTGAGAATTTGAATGCCTATCAA---CAACAAGATGGTATGATGAATATGAGTCCAAAACCACAGCGTCAGCGTGGTCATAAGAATGGACAAGGAGAAAATGATAATATAAGTGTTGCAGTGCCCAAAAGCCGCGTGCAGCAAAATAAGAGTATAGAGTTGACTGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTTTACTGAAGACACCTCAGAAATA >IWT_8_N_BBM61023_1_2012_01_Japan_Unknown_Betacoronavirus_1 ATGTCTTTTACTCCTGGTAAGCAATCCAGTAGTAGAGCGTCCTCTGGAAATCGTTCTGGTAATGGCATCCTTAAGTGGGCCGATCAGTCCGACCAATCTAGAAATGTTCAAACCAGGGGTAGAAGAGCTCAACCCAAGCAAACTGTTACTTCTCAGCAACCATCAGGAGGGAATGTTGTACCCTACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAGGGAAAGGAGTTTGAATTTGCAGAGGGACAAGGTGTGCCTATTGCGCCAGGAGTCCCAGCTACTGAAGCTAAAGGGTATTGGTACAGACACAACAGACGTTCCTTTAAAACAGCCGATGGCAACCAGCGTCAATTGCTGCCACGATGGTATTTTTACTATCTTGGAACAGGACCACATGCCAAAGACCAGTATGGCACCGACATTGACGGAGTCTACTGGGTCGCTAGTAACCAGGCTGATGTTAATACCCCGGCTGACATTCTCGATCGGGACCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGCACGGTACTCCCTCAGGGTTACTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCACGCGCATCCAGTAGTGCA---------GGATCGCGCAGTAGAGCCAATTCTGGCAATAGAACCCCTACCTCTGGTGTAACACCTGATATGGCTGATCAAATTGCTAGTCTTGTTCTGGCAAAACTTGGCAAGGATGCCACTAAGCCACAGCAAGTAACTAAGCAGACTGCCAAAGAAATCAGACAGAAAATTTTGAATAAGCCCCGCCAGAAGAGGAGCCCTAATAAACAATGCACTGTTCAGCAGTGTTTTGGGAAGAGAGGCCCCAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGATCCACAGTTCCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAGATTAGAGTTGGCCAAAGTGCAGAATTTGTCTGGGAATCTTGACGAGCCTCAGAAGGATGTTTATGAATTGCGCTATAATGGCGCAATTAGATTTGATAGTACACTTTCAGGTTTTGAGACTATAATGAAGGTGTTGAATGAGAATTTGAATGCATACCAA---CAACAGGATGGTACGATGAATATGAGTCCAAAACCACAGCGTCAGCGTGGTCAGAAGAACGGACAAGGAGAAAATGATAATATAAGTGTTGCAGCGCCCAAAAGCCGTGTGCAGCAAAATAAAATTAGAGAGTTGACTGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTTTACTGAAGACACCTCAGAAATA >HCoV_OC43_Seattle_USA_SC0776_2019_NA_QEG03818_1_2019_USA_Human_Betacoronavirus_1 ATGTCTTTTACTCCTGGTAAGCAATCCAGTAGTAGAGCGTCCTCTGGAAATCGGTCTGGTAATGGCATCCTCAAGTGGGCCGATCAGTCCGACCAGTTTAGAAATTTTCAAACCAGGGGTAGAAGAGCTCAACCCAAGCAAACTGCTACTTCTCAGCAACCATCAGGAGGGAATGTTATACCCCACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAGGGAAAGGAGTTTGAGTTTGCAGAAGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACTGAAGCTAAGGGGTACTGGTACAGACACAACAGACGTTCTTTTAAAACAGCCGATGGCAACCAGCGTCAACTGCTGCCACGATGGTATTTTTACTATCTGGGAACCGGACCGCATGCTAAAGACCAGTATGGCACCGATATTAACGGAGTCTACTGGGTCGCTAGCAACCAGGCTGATGTCAATACCCCGGCTGACATTGTCGATCGGGACCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGCACGGTACTCCCTCAGGGTTACTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCGCGCACATCCAGCAGAGCCTCTAGTGCAGGATCGCGTAGTAGAGCCAATTCTGGCAATAGAACCCCTACCTCTGGTGTAACACCTGACATGGCTGATCAAATTGCTAGTCTTGTTCTGGCAAAACTTGGCAAGGATGCCACCAAACCTCAGCAAGTAACTAAGCATACTGCCAAAGAAGTCAGACAGAAAATTTTGAATAAACCCCGCCAGAAGAGGAGCCCCAATAAACAATGCACTGTTCAGCAGTGTTTTGGTAAGAGAGGCCCTAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGACCCACAGTTCCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAAATTAGAGTTGGCCAAAGTGCAGAATTTATCTGGGAATCCTGATGAGCCTCAGAAGGATGTTTATGAATTGCGCTATAACGGCGCAATTAGGTTTGACAGTACACTTTCAGGCTTTGAGACCATAATGAAGGTGCTGAGTGAGAATTTGAATGCCTATCAA---CAACAAGATGGTATGATGAATATGAGTCCAAAACCACAGCGTCAGCGTGGTCATAAGAATGGACAAGGAGAAAATGATAATATAAGTGTTGCAGTGCCCAAAAGCCGCGTGCAGCAAAATAAGAGTATAGAGTTGACTGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTTTACTGAAGACACCTCAGAAATA >TCG_19_N_BBM61443_1_2016_12_Japan_Unknown_Betacoronavirus_1 ATGTCTTTTACTCCTGGTAAGCAACCCAGTAGTAGAGCGTCCTCTGGAAATCGTTCTGGTAATGGCATCCTTAAGTGGGCCGATCAGTCCGACCAATCTAGAAATGTTCAAACCAGGGGTAGAAGAGCTCAACCCAAGCAAACTGTTACTTCTCAGCAACCATCAGGAGGGAATGTTGTGCCCTACTATTCTTGGTTCTCTGGAATTACTCAGTTTCAAAAGGGAAAGGAGTTTGAATTTGCAGAGGGACAAGGTGTGCCTATTGCACCAGGAGTCCCAGCTACTGAAGCTAAAGGGTACTGGTACAGACACAACAGACGTTCCTTTAAAACAGCCGATGGCAACCAGCGTCAATTGCTGCCACGATGGTATTTTTACTATCTCGGAACAGGACCGCATGCCAAAGACCAGTATGGCACCGACATTGACGGTGTCTACTGGGTCGCTAGTAACCAGGCTGATGTCAACACCCCGGCTGACATTCTCGATCGGGACCCAAGTAGCGATGAGGCTATTCCGACTAGGTTTCCGCCTGGTACGGTACTCCCTCAGGGTTATTATATTGAAGGCTCAGGAAGGTCTGCTCCTAATTCCAGATCTACTTCACGCGCATCCAGTAGAGCCTCTAGTGCAGGATCGCGCAGTAGAGCCAATTCTTGCTATAGAACCTCTACCTCTGGTGTAACACCTGATATGGCTGATCAAATTGCTAGTCTTGTTCTGGCAAAACTTGGCAAGGATGCCACTAAGCCACAGCAAGTAACTAAGCAGACTGCCAAAGAAATCAGACAGAAAATTTTGAATAAGCCCCGCCAGAAGAGGAGCCCTAATAAACAATGCACTGTTCAGCAGTGTTTTGGGAAGAGAGGCCCCAATCAGAATTTTGGTGGTGGAGAAATGTTAAAACTTGGAACTAGTGATCCACAGTTCCCCATTCTTGCAGAACTCGCACCCACAGCTGGTGCGTTTTTCTTTGGATCAAGATTAGAGTTGGCCAAAGTGCAGAATTTGTCTGGGAATCTTGACGAGCCCCAGAAGGATGTTTATGAATTGCGCTATAATGGCGCAATTAGATTTGATAGTACACTTTCAGGTTTTGAGACCATAATGAAGGTGTTGAATGAGAATTTGAATGCATACCAA---CAACAGGATGGTACGATGAATATGAGTCCAAAACCACAGCGTCAGCGTGGTCAGAAGAACGGACAAGGAGAAAATGATAATATAAGTGTTGCAGCGCCCAAAAGCCGTGTGCAGCAAAATAAAATTAGAGAGTTGACTGCAGAGGACATCAGCCTTCTTAAGAAGATGGATGAGCCCTTTACTGAAGACACCTCAGAAATA
>IWT_20_N_BBM61103_1_2016_12_Japan_Unknown_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTVTSQQPSGGNVVPYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDIDGVYWVASNQANVNTPADILDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANSGNRTSTSGVTPDMADQIASLVLAKLGKDATKPQQVTKQTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLNENLNAYQ-QQDGTMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQQNKIRELTAEDISLLKKMDEPFTEDTSEI >OC43_human_USA_965_6_1996_N_AGT51794_1_1996_05_10_USA_Human_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQFRNVQTRGRRAQPKQTATSQQPSGGNVVPYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDIDGVYWVASNQADVNTPADIVDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRTSSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLVLAKLGKDATKPQQVTKHTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNPDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLSENLNAYQ-QQDGMMNMSPKPQRQRGHKNGQGENDNISVAVPKSRVQQNKSIELTAEDISLLKKMDEPYTEDTSEI >OC43_human_USA_912_36_1991_N_AGT51754_1_1991_02_22_USA_Human_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQFRNFQTRGRRAQPKQTATSQQPSGGNVVPYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDIDGIYWVASNQADVNTPADIVDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRTSSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLVLAKLGKDATKPQQVTKHTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNPDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLNENLNAYQ-QQDGMMNMSPKPQRQRGHKNGQGENDNISVAVPKSRVQQNKSRELTAEDISLLKKMDEPYTEDTSEI >PHEV_CoV_swine_USA_15TOSU1785_2015_NA_ARC95231_1_2015_08_15_USA_Swine_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGYGILKWADQSDQSRNVQTRGRRVQSKQTATSQQPSGGTVVPYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDIDGVFWVASNQADINTPADIVDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRAPNRAPSSGSRSRANSGNRTSTPGVTPDMADQIASLVLAKLGKDATKPQQVTKQTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNSSGNPDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLNQNLNAYQHQEDGMMNISPKPQRQRGQKNGQVENDNISVAAPKSRVQQNKSRELTAEDISLLKKMDEPYTEDTSEI >PHEV_CoV_swine_USA_15TOSU0582_2015_NA_ARC95223_1_2015_08_20_USA_Swine_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQSRNIQTRGRRVQSKQTATSQQPSGGTVVPYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPYAKDQYGTDIDGVFWVASNQADINTPADIVDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRAPNRASSSGSRSRANSGNRTSTPGVTPDMADQIASLVLAKLGKDATKPQQVTKQTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNPDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLNQNLNAYQHQEDGMMNISPKPQRQRGQKNGQVENDNISVAAPKSRVQQNKSRELTAEDISLLKKMDEPYTEDTSEI >E_AH65_TC_NA_ABP38247_1_NA_USA_Cattle_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTATSQQPSGGNVVPYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDIDGVYWVASNQADVNTPADILDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLVLAKLGKDATKPQQVTKQTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLNENLNAYQ-QQDGTMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQQNKIRELTAEDISLLKKMDEPFTEDTSEI >5414_2007_N_AIV41910_1_2007_06_China_Human_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQFRNVQTRGRRAQPKQTATSQQPSGGNVVPYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDINGVYWVASNQADVNTPADIVDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRTSSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLVLAKLGKDATKPQQVTKHTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSKLELAKVQNLSGNPDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLSENLNAYQ-QQDGMMNMSPKPQRQRGHKNGQGENDNISVAVPKSRVQQNKSIELTAEDISLLKKMDEPFTEDTSEI >OC43_human_USA_851_15_1985_N_AGT51416_1_1985_01_08_USA_Human_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQFRNVQTRGRRAQPKQTSTSQQPSGGNVVPYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDFDGVFWVASNQADVNTPADIVDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRTSSRASSAGSRSRANSGNRAPTSGVTPDMADQIASLVLAKLGKDATKPQQVTKHTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNPDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLNENLNAYQ-QQDGMMNMSPKPQRQRGHKNGQGENDNISVAAPKSRVQQNKSRELTAEDISLLKKMDEPYTEDTSEI >DcCoV_HKU23_camel_Nigeria_NV1092_2015_NA_QEY10653_1_2015_11_23_Nigeria_Camel_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTATSQQSSGGNIVPYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYKHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDIDGVFWVASNQADVNTPADIVDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANSGNRNPTSGVTPDMADQIASLVLAKLGKDATKPQQVTKQTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLNENLNAYQ-QQDGMMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQQNKSRELTAEDISLLKKMDEPYTEDTSEI >DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_NA_QEY10629_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTVTSQQPSGGNVVPYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDIDGVFWVASNQADVNTPADILDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLVLAKLGKDATKPQQVTKQTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLNENLNAYQ-QQDGMMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQQNKIRELTAEDISLLKKMDEPFTEDTSEI >87309_Belgium_2003_N_AAX85673_1_NA_Belgium_Unknown_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQFRNVQTRGRRAQPKQTATSQQPSGGNVVPYYSWFSGITQFQKGKAFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDIDGIYWVASNQADVNTPADIVDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRTSSRASSAGSRSRANSGNRTLTSGVTPDMADQIASLVLAKLGKDATKPQQVTKHTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNPDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLSENLNAYQ-QQDGMMNMSPKPQRQRGHKNGQGENDNISVAVPKSRVQQNKSIELTAEDISLLKKMDEPYTEDTSEI >TCG_23_N_BBM61483_1_2016_12_Japan_Unknown_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQFRNVQTRGRRAQPKQTVTSQQPSGGNVVPYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDIDGVYWVASNQADVNTPADILDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLVLAKLGKDATKPQQVTKQTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLNENLNAYQ-QQDGTMNMSPKPQRQRGQKNGQGENDNISVAAPKSRLQQNKIRELTAEDISLLKKMDEPFTEDTSEI >HCoV_OC43_Seattle_USA_SC3118_2015_NA_ARU07614_1_2015_USA_Human_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQFRNFQTRGRRAQPKQTATSQQPSGGNVVPHYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDINGVYWVASNQADVNTPADIVDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRTSSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLVLAKLGKDATKPQQVTKHTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSKLELAKVQNLSGNPDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLSENLNAYQ-QQDGMMNMSPKPQRQRGHKNGQGENDNISVAVPKSRVQQNKSIELTAEDISLLKKMDEPFTEDTSEI >IWT_21_N_BBM61113_1_2016_12_Japan_Unknown_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTVTSQQPSGGNVVPYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDIDGVYWVASNQADVNTPADILDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANFGNRTSTSGVTPDMADQIASLVLAKLGKDATKPQQVTKQTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLNENLNAYQ-QQDGTMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQQNKIRELTAEDISLLKKMDEPFTEDTSEI >Mebus_N_AAA66397_1_NA_NA_Unknown_Betacoronavirus_1 MSFTPGKQSSSRASFGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTATSQLPSGGNVVPYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDIDGVFWVASNQADVNTPADILDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLVLAKLGKDATKPQQVTKQTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLNENLNAYQ-QQDGMMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQQNKSRELTAEDISLLKKMDEPYTEDTSEI >TCG_25_N_BBM61503_1_2017_12_Japan_Unknown_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTATSQQPSGGNVVPYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDIDGVFWVASNQADVNTPADILDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLVLAKLGKDATKPQQVTKQTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLNENLNAYQ-QQDGTMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQQNKIRELTAEDISLLKKMDEPFTEDTSEI >N08_33B_360X_NA_ARE30012_1_2016_USA_Human_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQFRNVQTRGRRAQPKQTATSQQPSGGNVVPYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDINGVYWVASNQADVNTPADIVDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRTSSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLVLAKLGKDATKPQQVTKHTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSKLELAKVQNLSGNPDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLSENLNAYQ-QQDGMMNMSPKPQRQRGHKNGQGENDNISVAVPKSRVQQNKSIELTAEDISLLKKMDEPFTEDTSEI >VW572_N_AAY68302_1_NA_Belgium_Unknown_Betacoronavirus_1 MSFTPGKQPSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRVQSKQTATSQQPSGGTVVPYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPYAKDHYGTDIDGVFWVASNQADVNTPADIVDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSVPNSRSTSRASNRAPSSGSRSRANSGNRTSTSGVTPDMADQIASLVLAKLGKDATKPQQVTKQTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNSSGNLDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLNQNLNAYQHQEDGMINISPKPQRQRGQKNGQVENDNVSVAVPKSRVQQNKSRELTAEDISLLKKMDEPYTEDTSEI >IWT_19_N_BBM61093_1_2016_12_Japan_Unknown_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTVTSQQPSGGNVVPYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDIDGVYWVASNQANVNTPADILDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANSGNRTSTSGVTPDMADQIASLVLAKLGKDATKPQQVTKQTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLNENLNAYQ-QQDGTMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQQNKIRELTAEDISLLKKMDEPFTEDTSEI >CC_23_N_AXX83329_1_2015_07_13_China_Unknown_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQFRNVQTRGRRAQPKQTATSQQPSGGNVVPYYSWFSGITQFQKGKAFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDIDGVYWVASSQADVNTPADIVDRDPSSDEAIPTRFPPGTILPQGYYIEGSGRSAPNSRSTSRTSSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLVLAKLGKDATKPQQVTKHTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNPDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLSENLNAYQ-QQDG-MNMSPKPQRQRGHKNGQGENDNISVAVPKSRVQQNKSIELTSEDISLLKKMDEPYTEDTSEI >3184A_2012_N_AIV41850_1_2012_03_China_Human_Betacoronavirus_1 MSFTPGKQSSSRASSGYRSGNGILKWADQSDQFRNVQTRGRRAQPKQTATSQQPSGGNVVPYYSWFSGITQFQKGKAFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDIDGVYWVASNQADVNTPADIVDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRTSSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLVLAKLGKDATKPQQVTKHTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNPDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLSENLNAYQ-QQDG-MNMSPKPQRQRGHKNGQGENDNISVAVPKSRVQQNKSIELTAEDISLLKKMDEPYTEDTSEI >5566_2007_N_AIV41964_1_2007_06_China_Human_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQFRNVQTRGRRAQPKQTATSQQPSGGNVVPYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDINGVYWVASNQADVNTPADIVDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRTSSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLVLAKLGKDATKPQQVTKHTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSKLELAKVQNLSGNPDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLSENLNAYQ-QQDGMMNMSPKPQRQRGHKNGQGENDNISVAVPKSRVQQNKSIELTAEDISLLKKMDEPFTEDTSEI >IWT_25_N_BBM61173_1_2017_01_Japan_Unknown_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTVTSQQPSGGNVVPYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDIDGVYWVASNQADVNTPADILDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLVLAKLGKDATKPQQVTKHTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLNENLNAYQ-QQDGTMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQQNKIRELTAEDISLLKKMDEPFTEDTSEI >IWT_26_N_BBM61183_1_2017_02_Japan_Unknown_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTVTSQQPSGGNVVPYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDIDGVYWVASNQADVNTPADILDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLVLAKLGKDATKPQQVTKHTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLNENLNAYQ-QQDGTMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQQNKIRELTAEDISLLKKMDEPFTEDTSEI >E_AH187_TC_NA_ACT11001_1_2000_01_01_USA_Cattle_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTVTSQQPSGGNVVPYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDIDGVYWVASNQADVNTPADILDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLVLAKLGKDATKPQQVTKQTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLNENLNAYQ-QQDGTMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQQNKIRELTAEDISLLKKMDEPFTEDTSEI >BCoV_ENT_N_NP_150083_1_NA_NA_Unknown_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTATSQQPSGGNVVPYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDIDGVYWVASNQADVNTPADILDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLVLAKLGKDAAKPQQVTKQTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLNENLNAYQ-QQDGTMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQQNKIRELTAEDISLLKKMDEPFTEDTSEI >3582_2006_N_AIV41856_1_2006_09_China_Human_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQFRNVQTRGRRAQPKQTATSQQPSGGNVVPYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDINGVYWVASNQADVNTPADIVDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRTSSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLVLAKLGKDATKPQQVTKHTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSKLELAKVQNLSGNPDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLSENLNAYQ-QQDGMMNMSPKPQRQRGHKNGQGENDNISVAVPKSRVQQNKSIELTAEDISLLKKMDEPFTEDTSEI >IWT_8_N_BBM61023_1_2012_01_Japan_Unknown_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTVTSQQPSGGNVVPYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDIDGVYWVASNQADVNTPADILDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRASSSA---GSRSRANSGNRTPTSGVTPDMADQIASLVLAKLGKDATKPQQVTKQTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLNENLNAYQ-QQDGTMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQQNKIRELTAEDISLLKKMDEPFTEDTSEI >HCoV_OC43_Seattle_USA_SC0776_2019_NA_QEG03818_1_2019_USA_Human_Betacoronavirus_1 MSFTPGKQSSSRASSGNRSGNGILKWADQSDQFRNFQTRGRRAQPKQTATSQQPSGGNVIPHYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDINGVYWVASNQADVNTPADIVDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRTSSRASSAGSRSRANSGNRTPTSGVTPDMADQIASLVLAKLGKDATKPQQVTKHTAKEVRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSKLELAKVQNLSGNPDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLSENLNAYQ-QQDGMMNMSPKPQRQRGHKNGQGENDNISVAVPKSRVQQNKSIELTAEDISLLKKMDEPFTEDTSEI >TCG_19_N_BBM61443_1_2016_12_Japan_Unknown_Betacoronavirus_1 MSFTPGKQPSSRASSGNRSGNGILKWADQSDQSRNVQTRGRRAQPKQTVTSQQPSGGNVVPYYSWFSGITQFQKGKEFEFAEGQGVPIAPGVPATEAKGYWYRHNRRSFKTADGNQRQLLPRWYFYYLGTGPHAKDQYGTDIDGVYWVASNQADVNTPADILDRDPSSDEAIPTRFPPGTVLPQGYYIEGSGRSAPNSRSTSRASSRASSAGSRSRANSCYRTSTSGVTPDMADQIASLVLAKLGKDATKPQQVTKQTAKEIRQKILNKPRQKRSPNKQCTVQQCFGKRGPNQNFGGGEMLKLGTSDPQFPILAELAPTAGAFFFGSRLELAKVQNLSGNLDEPQKDVYELRYNGAIRFDSTLSGFETIMKVLNENLNAYQ-QQDGTMNMSPKPQRQRGQKNGQGENDNISVAAPKSRVQQNKIRELTAEDISLLKKMDEPFTEDTSEI
Reading sequence file /data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10637_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/codeml/fasta/DcCoV_HKU23_camel_Morocco_CAC2586_2016_NA_QEY10637_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1
Found 30 sequences of length 1347
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 3.3%
Found 121 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% 97.1%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 128 polymorphic sites
**p-Value(s)**
----------
NSS: 8.72e-01 (1000 permutations)
Max Chi^2: 1.31e-01 (1000 permutations)
PHI (Permutation): 4.92e-01 (1000 permutations)
PHI (Normal): 4.87e-01
#NEXUS
[ID: 7490841713]
begin taxa;
dimensions ntax=30;
taxlabels
TCG_23_N_BBM61483_1_2016_12_Japan_Unknown_Betacoronavirus_1
87309_Belgium_2003_N_AAX85673_1_NA_Belgium_Unknown_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC3118_2015_NA_ARU07614_1_2015_USA_Human_Betacoronavirus_1
N08_33B_360X_NA_ARE30012_1_2016_USA_Human_Betacoronavirus_1
TCG_25_N_BBM61503_1_2017_12_Japan_Unknown_Betacoronavirus_1
VW572_N_AAY68302_1_NA_Belgium_Unknown_Betacoronavirus_1
5566_2007_N_AIV41964_1_2007_06_China_Human_Betacoronavirus_1
3184A_2012_N_AIV41850_1_2012_03_China_Human_Betacoronavirus_1
3582_2006_N_AIV41856_1_2006_09_China_Human_Betacoronavirus_1
BCoV_ENT_N_NP_150083_1_NA_NA_Unknown_Betacoronavirus_1
PHEV_CoV_swine_USA_15TOSU1785_2015_NA_ARC95231_1_2015_08_15_USA_Swine_Betacoronavirus_1
TCG_19_N_BBM61443_1_2016_12_Japan_Unknown_Betacoronavirus_1
OC43_human_USA_851_15_1985_N_AGT51416_1_1985_01_08_USA_Human_Betacoronavirus_1
IWT_20_N_BBM61103_1_2016_12_Japan_Unknown_Betacoronavirus_1
OC43_human_USA_912_36_1991_N_AGT51754_1_1991_02_22_USA_Human_Betacoronavirus_1
OC43_human_USA_965_6_1996_N_AGT51794_1_1996_05_10_USA_Human_Betacoronavirus_1
E_AH65_TC_NA_ABP38247_1_NA_USA_Cattle_Betacoronavirus_1
PHEV_CoV_swine_USA_15TOSU0582_2015_NA_ARC95223_1_2015_08_20_USA_Swine_Betacoronavirus_1
5414_2007_N_AIV41910_1_2007_06_China_Human_Betacoronavirus_1
DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_NA_QEY10629_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1
IWT_21_N_BBM61113_1_2016_12_Japan_Unknown_Betacoronavirus_1
Mebus_N_AAA66397_1_NA_NA_Unknown_Betacoronavirus_1
CC_23_N_AXX83329_1_2015_07_13_China_Unknown_Betacoronavirus_1
IWT_19_N_BBM61093_1_2016_12_Japan_Unknown_Betacoronavirus_1
E_AH187_TC_NA_ACT11001_1_2000_01_01_USA_Cattle_Betacoronavirus_1
IWT_25_N_BBM61173_1_2017_01_Japan_Unknown_Betacoronavirus_1
IWT_26_N_BBM61183_1_2017_02_Japan_Unknown_Betacoronavirus_1
DcCoV_HKU23_camel_Nigeria_NV1092_2015_NA_QEY10653_1_2015_11_23_Nigeria_Camel_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC0776_2019_NA_QEG03818_1_2019_USA_Human_Betacoronavirus_1
IWT_8_N_BBM61023_1_2012_01_Japan_Unknown_Betacoronavirus_1
;
end;
begin trees;
translate
1 TCG_23_N_BBM61483_1_2016_12_Japan_Unknown_Betacoronavirus_1,
2 87309_Belgium_2003_N_AAX85673_1_NA_Belgium_Unknown_Betacoronavirus_1,
3 HCoV_OC43_Seattle_USA_SC3118_2015_NA_ARU07614_1_2015_USA_Human_Betacoronavirus_1,
4 N08_33B_360X_NA_ARE30012_1_2016_USA_Human_Betacoronavirus_1,
5 TCG_25_N_BBM61503_1_2017_12_Japan_Unknown_Betacoronavirus_1,
6 VW572_N_AAY68302_1_NA_Belgium_Unknown_Betacoronavirus_1,
7 5566_2007_N_AIV41964_1_2007_06_China_Human_Betacoronavirus_1,
8 3184A_2012_N_AIV41850_1_2012_03_China_Human_Betacoronavirus_1,
9 3582_2006_N_AIV41856_1_2006_09_China_Human_Betacoronavirus_1,
10 BCoV_ENT_N_NP_150083_1_NA_NA_Unknown_Betacoronavirus_1,
11 PHEV_CoV_swine_USA_15TOSU1785_2015_NA_ARC95231_1_2015_08_15_USA_Swine_Betacoronavirus_1,
12 TCG_19_N_BBM61443_1_2016_12_Japan_Unknown_Betacoronavirus_1,
13 OC43_human_USA_851_15_1985_N_AGT51416_1_1985_01_08_USA_Human_Betacoronavirus_1,
14 IWT_20_N_BBM61103_1_2016_12_Japan_Unknown_Betacoronavirus_1,
15 OC43_human_USA_912_36_1991_N_AGT51754_1_1991_02_22_USA_Human_Betacoronavirus_1,
16 OC43_human_USA_965_6_1996_N_AGT51794_1_1996_05_10_USA_Human_Betacoronavirus_1,
17 E_AH65_TC_NA_ABP38247_1_NA_USA_Cattle_Betacoronavirus_1,
18 PHEV_CoV_swine_USA_15TOSU0582_2015_NA_ARC95223_1_2015_08_20_USA_Swine_Betacoronavirus_1,
19 5414_2007_N_AIV41910_1_2007_06_China_Human_Betacoronavirus_1,
20 DcCoV_HKU23_camel_Ethiopia_CAC1019_2015_NA_QEY10629_1_2015_02_21_Ethiopia_Camel_Betacoronavirus_1,
21 IWT_21_N_BBM61113_1_2016_12_Japan_Unknown_Betacoronavirus_1,
22 Mebus_N_AAA66397_1_NA_NA_Unknown_Betacoronavirus_1,
23 CC_23_N_AXX83329_1_2015_07_13_China_Unknown_Betacoronavirus_1,
24 IWT_19_N_BBM61093_1_2016_12_Japan_Unknown_Betacoronavirus_1,
25 E_AH187_TC_NA_ACT11001_1_2000_01_01_USA_Cattle_Betacoronavirus_1,
26 IWT_25_N_BBM61173_1_2017_01_Japan_Unknown_Betacoronavirus_1,
27 IWT_26_N_BBM61183_1_2017_02_Japan_Unknown_Betacoronavirus_1,
28 DcCoV_HKU23_camel_Nigeria_NV1092_2015_NA_QEY10653_1_2015_11_23_Nigeria_Camel_Betacoronavirus_1,
29 HCoV_OC43_Seattle_USA_SC0776_2019_NA_QEG03818_1_2019_USA_Human_Betacoronavirus_1,
30 IWT_8_N_BBM61023_1_2012_01_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 = (1:3.838877e-03,(26:5.203400e-04,27:5.248648e-04)1.000:3.643518e-03,(((((((((((2:2.056612e-03,(8:2.083243e-03,23:4.431837e-03)0.999:2.817396e-03)0.982:1.320648e-03,((3:4.885427e-04,29:1.277868e-03)1.000:4.330418e-03,4:5.401443e-04,7:5.149717e-04,9:5.129719e-04,19:5.401099e-04)1.000:3.622832e-03,16:1.915925e-03)1.000:5.513033e-03,15:5.117077e-03)1.000:5.673162e-03,13:6.290660e-03)1.000:1.261869e-02,(6:1.027110e-02,(11:1.083543e-02,18:1.090757e-02)1.000:6.405674e-03)1.000:3.296533e-02)1.000:9.607763e-03,(22:4.020438e-03,28:1.656361e-02)0.743:2.338462e-03)0.999:4.624132e-03,20:9.978044e-03)1.000:6.312926e-03,(10:3.581854e-03,17:5.389727e-04,25:9.950733e-04)0.951:1.358955e-03)0.529:1.336926e-03,5:7.783429e-03)0.999:2.829638e-03,30:6.982218e-03)1.000:3.734828e-03,(12:3.688072e-03,((14:1.271112e-03,24:5.356513e-04)1.000:2.868189e-03,21:3.609408e-03)0.901:1.308263e-03)0.999:2.101225e-03)0.846:1.240256e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:3.838877e-03,(26:5.203400e-04,27:5.248648e-04):3.643518e-03,(((((((((((2:2.056612e-03,(8:2.083243e-03,23:4.431837e-03):2.817396e-03):1.320648e-03,((3:4.885427e-04,29:1.277868e-03):4.330418e-03,4:5.401443e-04,7:5.149717e-04,9:5.129719e-04,19:5.401099e-04):3.622832e-03,16:1.915925e-03):5.513033e-03,15:5.117077e-03):5.673162e-03,13:6.290660e-03):1.261869e-02,(6:1.027110e-02,(11:1.083543e-02,18:1.090757e-02):6.405674e-03):3.296533e-02):9.607763e-03,(22:4.020438e-03,28:1.656361e-02):2.338462e-03):4.624132e-03,20:9.978044e-03):6.312926e-03,(10:3.581854e-03,17:5.389727e-04,25:9.950733e-04):1.358955e-03):1.336926e-03,5:7.783429e-03):2.829638e-03,30:6.982218e-03):3.734828e-03,(12:3.688072e-03,((14:1.271112e-03,24:5.356513e-04):2.868189e-03,21:3.609408e-03):1.308263e-03):2.101225e-03):1.240256e-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 -3544.49 -3571.43
2 -3545.32 -3575.19
--------------------------------------
TOTAL -3544.82 -3574.52
--------------------------------------
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} 0.259460 0.000485 0.219602 0.305807 0.258504 1409.07 1455.03 1.000
r(A<->C){all} 0.033251 0.000114 0.013371 0.053369 0.032049 972.27 1074.38 1.000
r(A<->G){all} 0.148621 0.000512 0.108264 0.195824 0.146670 848.84 900.24 1.000
r(A<->T){all} 0.057585 0.000173 0.033014 0.084477 0.056732 1084.68 1087.93 1.000
r(C<->G){all} 0.020055 0.000098 0.003780 0.039759 0.018743 718.15 878.06 1.000
r(C<->T){all} 0.640396 0.001128 0.573173 0.705115 0.641196 802.94 831.47 1.000
r(G<->T){all} 0.100092 0.000318 0.066233 0.134628 0.099138 922.46 989.43 1.000
pi(A){all} 0.293921 0.000149 0.269502 0.316590 0.293782 957.14 1140.40 1.001
pi(C){all} 0.215080 0.000110 0.194719 0.235197 0.214653 972.60 972.88 1.000
pi(G){all} 0.235597 0.000128 0.213537 0.257801 0.235375 1077.53 1123.79 1.000
pi(T){all} 0.255401 0.000129 0.233919 0.278030 0.255065 1081.87 1107.67 1.001
alpha{1,2} 0.088558 0.004114 0.000013 0.204486 0.077012 733.40 921.91 1.001
alpha{3} 1.905851 1.076157 0.436667 3.966603 1.643121 990.71 1144.44 1.000
pinvar{all} 0.326876 0.007668 0.150032 0.498489 0.327672 846.52 963.66 1.003
------------------------------------------------------------------------------------------------------
* 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_QEY10637_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 = 444
Codon usage in sequences
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 14 14 15 14 13 14 | Ser TCT 13 12 12 15 12 12 | Tyr TAT 8 8 8 7 8 7 | Cys TGT 1 1 1 1 1 1
TTC 3 3 3 3 4 3 | TCC 6 5 5 4 6 6 | TAC 6 7 7 8 7 7 | TGC 1 1 1 1 1 1
Leu TTA 2 3 3 2 1 2 | TCA 6 5 5 5 5 6 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 8 5 5 5 7 8 | TCG 1 2 2 2 2 1 | TAG 0 0 0 0 0 0 | Trp TGG 5 5 5 5 5 5
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 11 7 7 8 9 10 | Pro CCT 7 11 10 12 13 7 | His CAT 1 3 3 1 0 1 | Arg CGT 7 5 6 6 6 6
CTC 2 3 3 3 3 3 | CCC 9 8 9 8 8 10 | CAC 1 1 1 1 1 1 | CGC 3 4 4 3 3 4
CTA 0 0 0 0 0 0 | CCA 9 8 8 7 7 9 | Gln CAA 16 16 16 14 14 16 | CGA 1 1 1 1 1 2
CTG 2 5 5 4 3 2 | CCG 4 4 4 4 3 4 | CAG 22 20 20 24 24 22 | CGG 1 2 1 2 2 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 11 10 10 13 13 11 | Thr ACT 13 14 14 15 14 14 | Asn AAT 22 20 22 21 24 22 | Ser AGT 11 11 11 9 9 11
ATC 3 2 3 2 3 3 | ACC 7 7 7 7 7 7 | AAC 5 5 4 4 2 4 | AGC 4 6 5 6 6 4
ATA 3 4 3 2 2 3 | ACA 5 6 6 5 6 5 | Lys AAA 12 11 12 10 10 10 | Arg AGA 15 13 14 15 15 14
Met ATG 7 7 7 6 6 7 | ACG 2 1 1 1 1 1 | AAG 16 17 16 18 18 18 | AGG 4 5 5 4 4 4
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 8 6 5 6 6 6 | Ala GCT 11 13 13 11 11 12 | Asp GAT 13 12 14 15 13 14 | Gly GGT 14 12 13 11 12 12
GTC 3 6 5 6 5 4 | GCC 8 8 8 9 9 8 | GAC 9 11 9 8 10 9 | GGC 8 10 9 10 8 9
GTA 3 4 4 5 5 4 | GCA 10 8 8 8 8 10 | Glu GAA 10 10 10 11 11 10 | GGA 15 16 16 15 16 16
GTG 5 5 5 4 4 4 | GCG 3 2 2 4 4 3 | GAG 10 10 10 9 9 10 | GGG 4 3 3 4 4 4
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 15 14 13 14 14 15 | Ser TCT 12 13 13 13 12 11 | Tyr TAT 7 7 8 6 8 8 | Cys TGT 1 1 1 1 1 1
TTC 3 5 4 4 3 3 | TCC 5 5 5 5 5 6 | TAC 7 7 6 7 7 6 | TGC 1 1 1 1 1 1
Leu TTA 3 3 2 2 3 2 | TCA 5 5 7 6 5 6 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 5 6 8 8 5 8 | TCG 2 2 1 1 2 1 | TAG 0 0 0 0 0 0 | Trp TGG 5 5 5 5 5 5
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 7 8 10 10 8 10 | Pro CCT 11 9 7 7 10 9 | His CAT 3 3 0 1 3 1 | Arg CGT 5 7 8 7 5 5
CTC 3 2 2 3 3 3 | CCC 8 10 10 10 8 9 | CAC 1 1 2 1 1 1 | CGC 4 3 2 3 4 4
CTA 0 0 0 0 0 0 | CCA 8 8 8 9 8 8 | Gln CAA 16 16 17 18 16 16 | CGA 1 1 2 1 1 1
CTG 5 4 2 2 5 3 | CCG 4 4 4 4 4 4 | CAG 20 20 21 20 20 22 | CGG 2 1 1 1 2 2
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 10 9 12 11 10 11 | Thr ACT 13 14 14 14 14 14 | Asn AAT 21 22 22 20 21 21 | Ser AGT 11 10 13 10 11 11
ATC 2 2 2 3 3 3 | ACC 8 6 6 7 7 7 | AAC 5 4 5 6 4 5 | AGC 6 6 3 5 6 4
ATA 4 3 3 3 4 3 | ACA 6 6 5 5 6 5 | Lys AAA 13 10 13 10 12 12 | Arg AGA 12 14 13 15 13 15
Met ATG 7 7 7 7 7 7 | ACG 1 1 1 1 1 1 | AAG 16 18 16 18 16 16 | AGG 5 5 4 4 5 4
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 6 6 6 7 6 7 | Ala GCT 13 12 13 11 13 12 | Asp GAT 12 12 13 15 12 14 | Gly GGT 12 14 13 13 12 13
GTC 6 6 4 4 5 4 | GCC 8 9 8 8 8 7 | GAC 10 11 10 8 11 9 | GGC 10 8 9 8 10 8
GTA 4 4 4 4 4 3 | GCA 8 8 9 10 8 10 | Glu GAA 10 10 10 11 10 10 | GGA 16 15 15 16 16 16
GTG 5 4 4 4 5 4 | GCG 2 3 3 3 3 3 | GAG 10 10 10 9 9 10 | GGG 3 4 4 4 3 4
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 16 15 14 15 15 11 | Ser TCT 12 12 12 13 12 14 | Tyr TAT 8 8 9 7 7 7 | Cys TGT 1 1 1 1 1 1
TTC 3 3 4 3 3 6 | TCC 5 6 5 6 5 5 | TAC 5 6 5 6 7 8 | TGC 1 1 1 1 1 1
Leu TTA 3 2 2 2 3 2 | TCA 5 6 6 5 5 6 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 5 8 7 8 5 5 | TCG 2 1 1 1 2 2 | TAG 0 0 0 0 0 0 | Trp TGG 5 5 5 5 5 5
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 7 11 10 11 7 9 | Pro CCT 11 8 8 7 11 9 | His CAT 3 1 1 1 3 1 | Arg CGT 5 6 7 6 5 7
CTC 3 2 3 3 3 3 | CCC 8 8 9 9 8 9 | CAC 2 1 1 1 1 1 | CGC 4 4 3 4 4 3
CTA 0 0 1 0 0 0 | CCA 8 9 9 9 8 7 | Gln CAA 16 16 16 17 16 15 | CGA 1 1 1 1 1 1
CTG 5 2 3 1 5 4 | CCG 4 4 4 5 4 4 | CAG 20 22 21 21 20 22 | CGG 2 1 1 1 2 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 10 11 10 11 10 13 | Thr ACT 13 15 14 14 13 15 | Asn AAT 21 21 22 23 21 22 | Ser AGT 11 11 12 11 11 9
ATC 2 3 3 3 2 2 | ACC 9 6 7 7 8 7 | AAC 5 5 4 3 5 4 | AGC 6 4 4 4 6 6
ATA 4 3 3 3 4 1 | ACA 5 5 5 5 6 5 | Lys AAA 13 12 11 10 13 10 | Arg AGA 12 15 15 15 12 15
Met ATG 7 7 7 7 7 5 | ACG 1 1 1 1 1 1 | AAG 16 16 17 18 16 18 | AGG 5 4 4 4 5 4
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 5 7 6 6 6 9 | Ala GCT 13 12 12 12 13 10 | Asp GAT 13 14 13 13 12 14 | Gly GGT 12 14 13 12 12 10
GTC 6 4 4 4 6 5 | GCC 8 7 8 8 8 9 | GAC 9 9 10 10 10 9 | GGC 10 8 8 9 10 10
GTA 4 3 4 4 4 6 | GCA 8 10 10 10 8 8 | Glu GAA 10 10 10 10 10 11 | GGA 16 15 16 16 16 15
GTG 5 5 4 4 5 5 | GCG 2 3 3 3 2 3 | GAG 10 10 10 10 10 9 | GGG 3 4 4 4 3 5
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 14 14 14 15 14 14 | Ser TCT 13 12 12 12 12 12 | Tyr TAT 8 9 10 7 8 8 | Cys TGT 1 1 1 1 1 1
TTC 3 3 3 3 3 3 | TCC 6 5 5 5 6 6 | TAC 6 6 6 7 6 6 | TGC 1 1 1 1 1 1
Leu TTA 2 3 4 3 2 2 | TCA 6 6 5 5 6 6 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 8 6 5 5 7 7 | TCG 1 2 2 2 1 1 | TAG 0 0 0 0 0 0 | Trp TGG 5 5 5 5 5 5
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 11 7 7 7 10 10 | Pro CCT 7 11 11 11 8 8 | His CAT 1 3 3 3 2 2 | Arg CGT 6 6 6 5 6 6
CTC 2 3 3 3 3 3 | CCC 9 8 8 8 9 9 | CAC 1 1 1 1 1 1 | CGC 4 3 3 4 4 4
CTA 0 0 0 0 0 0 | CCA 9 8 8 8 9 9 | Gln CAA 16 16 16 16 16 16 | CGA 1 1 1 1 1 1
CTG 2 4 4 5 3 3 | CCG 4 4 4 4 4 4 | CAG 22 20 20 20 21 21 | CGG 1 2 2 2 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 11 10 10 10 11 11 | Thr ACT 13 14 14 13 14 14 | Asn AAT 22 21 20 21 21 21 | Ser AGT 11 11 11 11 12 12
ATC 3 2 2 2 3 3 | ACC 7 7 7 8 7 7 | AAC 5 3 4 5 5 5 | AGC 4 7 6 6 3 3
ATA 3 5 4 4 3 3 | ACA 5 6 6 6 5 5 | Lys AAA 12 12 12 13 12 12 | Arg AGA 15 13 13 12 15 15
Met ATG 7 7 7 7 7 7 | ACG 2 1 1 1 1 1 | AAG 16 16 16 16 16 16 | AGG 4 5 5 5 4 4
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 8 6 6 6 7 7 | Ala GCT 11 13 13 13 12 12 | Asp GAT 13 12 12 12 14 14 | Gly GGT 14 12 12 12 14 14
GTC 3 6 6 6 4 4 | GCC 8 8 8 8 7 7 | GAC 9 11 11 10 9 9 | GGC 8 10 10 10 8 8
GTA 3 3 4 4 3 3 | GCA 10 7 8 8 10 10 | Glu GAA 10 10 10 10 10 10 | GGA 15 16 16 16 16 16
GTG 5 5 5 5 5 5 | GCG 3 3 3 2 3 3 | GAG 10 9 9 10 10 10 | GGG 4 3 3 3 3 3
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 14 14 15 14 16 14 | Ser TCT 12 12 12 12 12 13 | Tyr TAT 7 7 7 8 8 9 | Cys TGT 1 1 1 1 1 1
TTC 3 3 3 3 3 3 | TCC 6 6 5 6 5 5 | TAC 7 7 7 6 5 6 | TGC 1 1 1 1 1 2
Leu TTA 2 2 3 2 3 2 | TCA 6 6 5 6 5 6 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 8 8 5 8 5 8 | TCG 1 1 2 1 2 1 | TAG 0 0 0 0 0 0 | Trp TGG 5 5 5 5 5 5
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 10 10 7 10 7 9 | Pro CCT 7 7 11 9 11 7 | His CAT 1 1 3 1 3 1 | Arg CGT 6 6 5 6 5 6
CTC 3 3 3 3 3 4 | CCC 10 10 8 8 8 10 | CAC 1 1 1 1 2 1 | CGC 4 4 4 4 4 4
CTA 0 1 0 0 0 0 | CCA 9 9 8 10 8 9 | Gln CAA 16 16 16 16 16 16 | CGA 2 2 1 1 1 1
CTG 2 1 5 2 5 2 | CCG 4 4 4 3 4 4 | CAG 22 22 20 22 20 22 | CGG 1 1 2 1 2 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 11 11 10 11 10 11 | Thr ACT 14 13 13 15 13 14 | Asn AAT 22 22 21 22 21 20 | Ser AGT 11 11 11 12 11 11
ATC 3 3 2 3 2 3 | ACC 7 7 8 6 9 7 | AAC 4 4 5 4 5 5 | AGC 4 4 6 4 6 4
ATA 3 3 4 3 5 3 | ACA 5 5 6 5 5 5 | Lys AAA 10 11 13 12 13 12 | Arg AGA 14 14 12 14 12 15
Met ATG 7 7 7 7 7 7 | ACG 1 1 1 1 1 1 | AAG 18 17 16 16 16 16 | AGG 4 4 5 4 5 4
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 7 6 6 8 5 7 | Ala GCT 11 14 13 11 13 11 | Asp GAT 14 14 12 14 13 14 | Gly GGT 12 12 12 12 12 14
GTC 4 4 6 3 6 4 | GCC 8 8 8 7 8 8 | GAC 9 9 10 9 9 9 | GGC 9 9 10 9 10 7
GTA 4 4 4 4 3 3 | GCA 10 9 8 10 8 10 | Glu GAA 10 10 10 10 10 10 | GGA 16 16 16 16 16 15
GTG 4 4 5 4 5 5 | GCG 3 3 2 4 2 3 | GAG 10 10 10 10 10 10 | GGG 4 4 3 4 3 4
--------------------------------------------------------------------------------------------------------------------------------------
Codon position x base (3x4) table for each sequence.
#1: C129
position 1: T:0.16667 C:0.21622 A:0.31532 G:0.30180
position 2: T:0.19144 C:0.25676 A:0.34009 G:0.21171
position 3: T:0.37162 C:0.17568 A:0.24099 G:0.21171
Average T:0.24324 C:0.21622 A:0.29880 G:0.24174
#2: C213
position 1: T:0.15991 C:0.22072 A:0.31306 G:0.30631
position 2: T:0.18919 C:0.25676 A:0.34009 G:0.21396
position 3: T:0.35811 C:0.19595 A:0.23649 G:0.20946
Average T:0.23574 C:0.22447 A:0.29655 G:0.24324
#3: C200
position 1: T:0.16216 C:0.22072 A:0.31532 G:0.30180
position 2: T:0.18694 C:0.25676 A:0.34234 G:0.21396
position 3: T:0.36937 C:0.18694 A:0.23874 G:0.20495
Average T:0.23949 C:0.22147 A:0.29880 G:0.24024
#4: C230
position 1: T:0.16216 C:0.22072 A:0.31081 G:0.30631
position 2: T:0.18694 C:0.26351 A:0.34009 G:0.20946
position 3: T:0.37162 C:0.18694 A:0.22523 G:0.21622
Average T:0.24024 C:0.22372 A:0.29204 G:0.24399
#5: C225
position 1: T:0.16216 C:0.21847 A:0.31532 G:0.30405
position 2: T:0.18919 C:0.26126 A:0.34009 G:0.20946
position 3: T:0.36937 C:0.18694 A:0.22748 G:0.21622
Average T:0.24024 C:0.22222 A:0.29429 G:0.24324
#6: C78
position 1: T:0.16441 C:0.22072 A:0.31081 G:0.30405
position 2: T:0.18919 C:0.25901 A:0.34009 G:0.21171
position 3: T:0.36036 C:0.18694 A:0.24099 G:0.21171
Average T:0.23799 C:0.22222 A:0.29730 G:0.24249
#7: C34
position 1: T:0.15991 C:0.22072 A:0.31532 G:0.30405
position 2: T:0.19144 C:0.25676 A:0.34009 G:0.21171
position 3: T:0.35811 C:0.19595 A:0.23874 G:0.20721
Average T:0.23649 C:0.22447 A:0.29805 G:0.24099
#8: C184
position 1: T:0.16667 C:0.21847 A:0.30856 G:0.30631
position 2: T:0.18694 C:0.25901 A:0.34009 G:0.21396
position 3: T:0.36261 C:0.19369 A:0.23198 G:0.21171
Average T:0.23874 C:0.22372 A:0.29354 G:0.24399
#9: C73
position 1: T:0.16667 C:0.21622 A:0.31306 G:0.30405
position 2: T:0.18694 C:0.25676 A:0.34459 G:0.21171
position 3: T:0.37387 C:0.17793 A:0.24324 G:0.20495
Average T:0.24249 C:0.21697 A:0.30030 G:0.24024
#10: C70
position 1: T:0.16441 C:0.21847 A:0.31306 G:0.30405
position 2: T:0.19369 C:0.25676 A:0.33784 G:0.21171
position 3: T:0.36036 C:0.18694 A:0.24775 G:0.20495
Average T:0.23949 C:0.22072 A:0.29955 G:0.24024
#11: C49
position 1: T:0.15991 C:0.22072 A:0.31532 G:0.30405
position 2: T:0.19144 C:0.25676 A:0.33784 G:0.21396
position 3: T:0.36036 C:0.19369 A:0.23874 G:0.20721
Average T:0.23724 C:0.22372 A:0.29730 G:0.24174
#12: C256
position 1: T:0.16441 C:0.22072 A:0.31306 G:0.30180
position 2: T:0.19369 C:0.25450 A:0.34009 G:0.21171
position 3: T:0.36712 C:0.18018 A:0.24099 G:0.21171
Average T:0.24174 C:0.21847 A:0.29805 G:0.24174
#13: C95
position 1: T:0.15991 C:0.22297 A:0.31532 G:0.30180
position 2: T:0.19144 C:0.25676 A:0.34009 G:0.21171
position 3: T:0.36261 C:0.19369 A:0.23649 G:0.20721
Average T:0.23799 C:0.22447 A:0.29730 G:0.24024
#14: C130
position 1: T:0.16667 C:0.21622 A:0.31306 G:0.30405
position 2: T:0.19369 C:0.25450 A:0.34009 G:0.21171
position 3: T:0.37613 C:0.17342 A:0.24099 G:0.20946
Average T:0.24550 C:0.21471 A:0.29805 G:0.24174
#15: C171
position 1: T:0.16216 C:0.22072 A:0.31306 G:0.30405
position 2: T:0.19144 C:0.25676 A:0.33784 G:0.21396
position 3: T:0.36937 C:0.17793 A:0.24550 G:0.20721
Average T:0.24099 C:0.21847 A:0.29880 G:0.24174
#16: C259
position 1: T:0.16441 C:0.21847 A:0.31306 G:0.30405
position 2: T:0.19144 C:0.25901 A:0.33784 G:0.21171
position 3: T:0.36712 C:0.18243 A:0.24099 G:0.20946
Average T:0.24099 C:0.21997 A:0.29730 G:0.24174
#17: C177
position 1: T:0.15991 C:0.22072 A:0.31532 G:0.30405
position 2: T:0.19144 C:0.25676 A:0.34009 G:0.21171
position 3: T:0.35811 C:0.19595 A:0.23874 G:0.20721
Average T:0.23649 C:0.22447 A:0.29805 G:0.24099
#18: C294
position 1: T:0.16441 C:0.21622 A:0.30856 G:0.31081
position 2: T:0.19369 C:0.25676 A:0.34009 G:0.20946
position 3: T:0.36261 C:0.19820 A:0.22973 G:0.20946
Average T:0.24024 C:0.22372 A:0.29279 G:0.24324
#19: C128
position 1: T:0.16667 C:0.21622 A:0.31532 G:0.30180
position 2: T:0.19144 C:0.25676 A:0.34009 G:0.21171
position 3: T:0.36937 C:0.17793 A:0.24099 G:0.21171
Average T:0.24249 C:0.21697 A:0.29880 G:0.24174
#20: C69
position 1: T:0.16441 C:0.21847 A:0.31532 G:0.30180
position 2: T:0.18919 C:0.25901 A:0.33559 G:0.21622
position 3: T:0.36486 C:0.18919 A:0.23874 G:0.20721
Average T:0.23949 C:0.22222 A:0.29655 G:0.24174
#21: C19
position 1: T:0.16441 C:0.21847 A:0.31081 G:0.30631
position 2: T:0.18919 C:0.25901 A:0.33784 G:0.21396
position 3: T:0.36486 C:0.18919 A:0.24099 G:0.20495
Average T:0.23949 C:0.22222 A:0.29655 G:0.24174
#22: C43
position 1: T:0.15991 C:0.22072 A:0.31532 G:0.30405
position 2: T:0.19144 C:0.25676 A:0.34009 G:0.21171
position 3: T:0.35811 C:0.19595 A:0.23874 G:0.20721
Average T:0.23649 C:0.22447 A:0.29805 G:0.24099
#23: C135
position 1: T:0.16216 C:0.22072 A:0.31306 G:0.30405
position 2: T:0.19144 C:0.25676 A:0.34009 G:0.21171
position 3: T:0.37387 C:0.17793 A:0.24324 G:0.20495
Average T:0.24249 C:0.21847 A:0.29880 G:0.24024
#24: C134
position 1: T:0.16216 C:0.22072 A:0.31306 G:0.30405
position 2: T:0.19144 C:0.25676 A:0.34009 G:0.21171
position 3: T:0.37387 C:0.17793 A:0.24324 G:0.20495
Average T:0.24249 C:0.21847 A:0.29880 G:0.24024
#25: C76
position 1: T:0.16441 C:0.22072 A:0.31081 G:0.30405
position 2: T:0.19144 C:0.25676 A:0.34009 G:0.21171
position 3: T:0.36036 C:0.18694 A:0.24099 G:0.21171
Average T:0.23874 C:0.22147 A:0.29730 G:0.24249
#26: C57
position 1: T:0.16441 C:0.22072 A:0.30856 G:0.30631
position 2: T:0.18919 C:0.25901 A:0.34009 G:0.21171
position 3: T:0.36261 C:0.18694 A:0.24324 G:0.20721
Average T:0.23874 C:0.22222 A:0.29730 G:0.24174
#27: C22
position 1: T:0.15991 C:0.22072 A:0.31532 G:0.30405
position 2: T:0.19144 C:0.25676 A:0.34009 G:0.21171
position 3: T:0.35811 C:0.19595 A:0.23874 G:0.20721
Average T:0.23649 C:0.22447 A:0.29805 G:0.24099
#28: C142
position 1: T:0.16441 C:0.21847 A:0.31306 G:0.30405
position 2: T:0.19144 C:0.25676 A:0.34009 G:0.21171
position 3: T:0.37387 C:0.17342 A:0.24550 G:0.20721
Average T:0.24324 C:0.21622 A:0.29955 G:0.24099
#29: C83
position 1: T:0.15991 C:0.22297 A:0.31757 G:0.29955
position 2: T:0.19144 C:0.25676 A:0.34009 G:0.21171
position 3: T:0.36261 C:0.19369 A:0.23649 G:0.20721
Average T:0.23799 C:0.22447 A:0.29805 G:0.23949
#30: C252
position 1: T:0.16892 C:0.21847 A:0.31081 G:0.30180
position 2: T:0.19144 C:0.25676 A:0.34009 G:0.21171
position 3: T:0.36486 C:0.18468 A:0.24099 G:0.20946
Average T:0.24174 C:0.21997 A:0.29730 G:0.24099
Sums of codon usage counts
------------------------------------------------------------------------------
Phe F TTT 427 | Ser S TCT 371 | Tyr Y TAT 232 | Cys C TGT 30
TTC 99 | TCC 161 | TAC 194 | TGC 31
Leu L TTA 72 | TCA 167 | *** * TAA 0 | *** * TGA 0
TTG 196 | TCG 45 | TAG 0 | Trp W TGG 150
------------------------------------------------------------------------------
Leu L CTT 265 | Pro P CCT 275 | His H CAT 54 | Arg R CGT 178
CTC 86 | CCC 263 | CAC 33 | CGC 109
CTA 2 | CCA 251 | Gln Q CAA 479 | CGA 34
CTG 100 | CCG 119 | CAG 633 | CGG 43
------------------------------------------------------------------------------
Ile I ATT 323 | Thr T ACT 415 | Asn N AAT 642 | Ser S AGT 328
ATC 77 | ACC 214 | AAC 133 | AGC 148
ATA 98 | ACA 161 | Lys K AAA 348 | Arg R AGA 416
Met M ATG 206 | ACG 32 | AAG 499 | AGG 132
------------------------------------------------------------------------------
Val V GTT 193 | Ala A GCT 364 | Asp D GAT 396 | Gly G GGT 376
GTC 143 | GCC 239 | GAC 286 | GGC 270
GTA 115 | GCA 267 | Glu E GAA 304 | GGA 472
GTG 138 | GCG 85 | GAG 293 | GGG 108
------------------------------------------------------------------------------
Codon position x base (3x4) table, overall
position 1: T:0.16329 C:0.21952 A:0.31321 G:0.30398
position 2: T:0.19069 C:0.25743 A:0.33979 G:0.21209
position 3: T:0.36554 C:0.18664 A:0.23919 G:0.20863
Average T:0.23984 C:0.22120 A:0.29740 G:0.24157
Model 1: NearlyNeutral (2 categories)
TREE # 1: (12, (23, 24), (((((((((((11, (21, 20)), ((13, 29), 17, 22, 27, 7), 2), 3), 8), (18, (4, 5))), (15, 9)), 10), (26, 6, 25)), 16), 28), (30, ((1, 19), 14)))); MP score: 258
lnL(ntime: 52 np: 55): -3416.455613 +0.000000
31..12 31..32 32..23 32..24 31..33 33..34 34..35 35..36 36..37 37..38 38..39 39..40 40..41 41..42 42..43 43..11 43..44 44..21 44..20 42..45 45..46 46..13 46..29 45..17 45..22 45..27 45..7 42..2 41..3 40..8 39..47 47..18 47..48 48..4 48..5 38..49 49..15 49..9 37..10 36..50 50..26 50..6 50..25 35..16 34..28 33..51 51..30 51..52 52..53 53..1 53..19 52..14
0.009595 0.009580 0.000004 0.000004 0.002276 0.009569 0.007401 0.002236 0.015506 0.011298 0.026639 0.035857 0.016855 0.014696 0.002358 0.004678 0.007039 0.004718 0.011818 0.009400 0.011794 0.000004 0.002344 0.000004 0.000004 0.000004 0.000004 0.004666 0.013732 0.017051 0.084864 0.028219 0.019545 0.031759 0.028405 0.005229 0.011160 0.047496 0.029838 0.002620 0.009470 0.000004 0.002357 0.021435 0.019312 0.004759 0.009517 0.002337 0.007131 0.002356 0.000004 0.009515 4.049351 0.897010 0.061338
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.628465
(12: 0.009595, (23: 0.000004, 24: 0.000004): 0.009580, (((((((((((11: 0.004678, (21: 0.004718, 20: 0.011818): 0.007039): 0.002358, ((13: 0.000004, 29: 0.002344): 0.011794, 17: 0.000004, 22: 0.000004, 27: 0.000004, 7: 0.000004): 0.009400, 2: 0.004666): 0.014696, 3: 0.013732): 0.016855, 8: 0.017051): 0.035857, (18: 0.028219, (4: 0.031759, 5: 0.028405): 0.019545): 0.084864): 0.026639, (15: 0.011160, 9: 0.047496): 0.005229): 0.011298, 10: 0.029838): 0.015506, (26: 0.009470, 6: 0.000004, 25: 0.002357): 0.002620): 0.002236, 16: 0.021435): 0.007401, 28: 0.019312): 0.009569, (30: 0.009517, ((1: 0.002356, 19: 0.000004): 0.007131, 14: 0.009515): 0.002337): 0.004759): 0.002276);
(C256: 0.009595, (C135: 0.000004, C134: 0.000004): 0.009580, (((((((((((C49: 0.004678, (C19: 0.004718, C69: 0.011818): 0.007039): 0.002358, ((C95: 0.000004, C83: 0.002344): 0.011794, C177: 0.000004, C43: 0.000004, C22: 0.000004, C34: 0.000004): 0.009400, C213: 0.004666): 0.014696, C200: 0.013732): 0.016855, C184: 0.017051): 0.035857, (C294: 0.028219, (C230: 0.031759, C225: 0.028405): 0.019545): 0.084864): 0.026639, (C171: 0.011160, C73: 0.047496): 0.005229): 0.011298, C70: 0.029838): 0.015506, (C57: 0.009470, C78: 0.000004, C76: 0.002357): 0.002620): 0.002236, C259: 0.021435): 0.007401, C142: 0.019312): 0.009569, (C252: 0.009517, ((C129: 0.002356, C128: 0.000004): 0.007131, C130: 0.009515): 0.002337): 0.004759): 0.002276);
Detailed output identifying parameters
kappa (ts/tv) = 4.04935
MLEs of dN/dS (w) for site classes (K=2)
p: 0.89701 0.10299
w: 0.06134 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.010 976.7 355.3 0.1580 0.0013 0.0084 1.3 3.0
31..32 0.010 976.7 355.3 0.1580 0.0013 0.0083 1.3 3.0
32..23 0.000 976.7 355.3 0.1580 0.0000 0.0000 0.0 0.0
32..24 0.000 976.7 355.3 0.1580 0.0000 0.0000 0.0 0.0
31..33 0.002 976.7 355.3 0.1580 0.0003 0.0020 0.3 0.7
33..34 0.010 976.7 355.3 0.1580 0.0013 0.0083 1.3 3.0
34..35 0.007 976.7 355.3 0.1580 0.0010 0.0064 1.0 2.3
35..36 0.002 976.7 355.3 0.1580 0.0003 0.0019 0.3 0.7
36..37 0.016 976.7 355.3 0.1580 0.0021 0.0135 2.1 4.8
37..38 0.011 976.7 355.3 0.1580 0.0016 0.0098 1.5 3.5
38..39 0.027 976.7 355.3 0.1580 0.0037 0.0232 3.6 8.2
39..40 0.036 976.7 355.3 0.1580 0.0049 0.0312 4.8 11.1
40..41 0.017 976.7 355.3 0.1580 0.0023 0.0147 2.3 5.2
41..42 0.015 976.7 355.3 0.1580 0.0020 0.0128 2.0 4.5
42..43 0.002 976.7 355.3 0.1580 0.0003 0.0021 0.3 0.7
43..11 0.005 976.7 355.3 0.1580 0.0006 0.0041 0.6 1.4
43..44 0.007 976.7 355.3 0.1580 0.0010 0.0061 0.9 2.2
44..21 0.005 976.7 355.3 0.1580 0.0006 0.0041 0.6 1.5
44..20 0.012 976.7 355.3 0.1580 0.0016 0.0103 1.6 3.7
42..45 0.009 976.7 355.3 0.1580 0.0013 0.0082 1.3 2.9
45..46 0.012 976.7 355.3 0.1580 0.0016 0.0103 1.6 3.7
46..13 0.000 976.7 355.3 0.1580 0.0000 0.0000 0.0 0.0
46..29 0.002 976.7 355.3 0.1580 0.0003 0.0020 0.3 0.7
45..17 0.000 976.7 355.3 0.1580 0.0000 0.0000 0.0 0.0
45..22 0.000 976.7 355.3 0.1580 0.0000 0.0000 0.0 0.0
45..27 0.000 976.7 355.3 0.1580 0.0000 0.0000 0.0 0.0
45..7 0.000 976.7 355.3 0.1580 0.0000 0.0000 0.0 0.0
42..2 0.005 976.7 355.3 0.1580 0.0006 0.0041 0.6 1.4
41..3 0.014 976.7 355.3 0.1580 0.0019 0.0120 1.8 4.3
40..8 0.017 976.7 355.3 0.1580 0.0023 0.0149 2.3 5.3
39..47 0.085 976.7 355.3 0.1580 0.0117 0.0739 11.4 26.3
47..18 0.028 976.7 355.3 0.1580 0.0039 0.0246 3.8 8.7
47..48 0.020 976.7 355.3 0.1580 0.0027 0.0170 2.6 6.1
48..4 0.032 976.7 355.3 0.1580 0.0044 0.0277 4.3 9.8
48..5 0.028 976.7 355.3 0.1580 0.0039 0.0247 3.8 8.8
38..49 0.005 976.7 355.3 0.1580 0.0007 0.0046 0.7 1.6
49..15 0.011 976.7 355.3 0.1580 0.0015 0.0097 1.5 3.5
49..9 0.047 976.7 355.3 0.1580 0.0065 0.0414 6.4 14.7
37..10 0.030 976.7 355.3 0.1580 0.0041 0.0260 4.0 9.2
36..50 0.003 976.7 355.3 0.1580 0.0004 0.0023 0.4 0.8
50..26 0.009 976.7 355.3 0.1580 0.0013 0.0083 1.3 2.9
50..6 0.000 976.7 355.3 0.1580 0.0000 0.0000 0.0 0.0
50..25 0.002 976.7 355.3 0.1580 0.0003 0.0021 0.3 0.7
35..16 0.021 976.7 355.3 0.1580 0.0030 0.0187 2.9 6.6
34..28 0.019 976.7 355.3 0.1580 0.0027 0.0168 2.6 6.0
33..51 0.005 976.7 355.3 0.1580 0.0007 0.0041 0.6 1.5
51..30 0.010 976.7 355.3 0.1580 0.0013 0.0083 1.3 2.9
51..52 0.002 976.7 355.3 0.1580 0.0003 0.0020 0.3 0.7
52..53 0.007 976.7 355.3 0.1580 0.0010 0.0062 1.0 2.2
53..1 0.002 976.7 355.3 0.1580 0.0003 0.0021 0.3 0.7
53..19 0.000 976.7 355.3 0.1580 0.0000 0.0000 0.0 0.0
52..14 0.010 976.7 355.3 0.1580 0.0013 0.0083 1.3 2.9
Time used: 8:12
Model 2: PositiveSelection (3 categories)
TREE # 1: (12, (23, 24), (((((((((((11, (21, 20)), ((13, 29), 17, 22, 27, 7), 2), 3), 8), (18, (4, 5))), (15, 9)), 10), (26, 6, 25)), 16), 28), (30, ((1, 19), 14)))); MP score: 258
check convergence..
lnL(ntime: 52 np: 57): -3416.054622 +0.000000
31..12 31..32 32..23 32..24 31..33 33..34 34..35 35..36 36..37 37..38 38..39 39..40 40..41 41..42 42..43 43..11 43..44 44..21 44..20 42..45 45..46 46..13 46..29 45..17 45..22 45..27 45..7 42..2 41..3 40..8 39..47 47..18 47..48 48..4 48..5 38..49 49..15 49..9 37..10 36..50 50..26 50..6 50..25 35..16 34..28 33..51 51..30 51..52 52..53 53..1 53..19 52..14
0.009646 0.009627 0.000004 0.000004 0.002294 0.009642 0.007409 0.002256 0.015603 0.011362 0.026820 0.036071 0.016930 0.014773 0.002370 0.004692 0.007067 0.004734 0.011860 0.009439 0.011851 0.000004 0.002354 0.000004 0.000004 0.000004 0.000004 0.004684 0.013789 0.017149 0.085255 0.028449 0.019701 0.032075 0.028409 0.005261 0.011213 0.047782 0.030001 0.002636 0.009521 0.000004 0.002370 0.021571 0.019436 0.004778 0.009568 0.002351 0.007165 0.002367 0.000004 0.009558 4.103120 0.932928 0.000000 0.076140 1.438926
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.631926
(12: 0.009646, (23: 0.000004, 24: 0.000004): 0.009627, (((((((((((11: 0.004692, (21: 0.004734, 20: 0.011860): 0.007067): 0.002370, ((13: 0.000004, 29: 0.002354): 0.011851, 17: 0.000004, 22: 0.000004, 27: 0.000004, 7: 0.000004): 0.009439, 2: 0.004684): 0.014773, 3: 0.013789): 0.016930, 8: 0.017149): 0.036071, (18: 0.028449, (4: 0.032075, 5: 0.028409): 0.019701): 0.085255): 0.026820, (15: 0.011213, 9: 0.047782): 0.005261): 0.011362, 10: 0.030001): 0.015603, (26: 0.009521, 6: 0.000004, 25: 0.002370): 0.002636): 0.002256, 16: 0.021571): 0.007409, 28: 0.019436): 0.009642, (30: 0.009568, ((1: 0.002367, 19: 0.000004): 0.007165, 14: 0.009558): 0.002351): 0.004778): 0.002294);
(C256: 0.009646, (C135: 0.000004, C134: 0.000004): 0.009627, (((((((((((C49: 0.004692, (C19: 0.004734, C69: 0.011860): 0.007067): 0.002370, ((C95: 0.000004, C83: 0.002354): 0.011851, C177: 0.000004, C43: 0.000004, C22: 0.000004, C34: 0.000004): 0.009439, C213: 0.004684): 0.014773, C200: 0.013789): 0.016930, C184: 0.017149): 0.036071, (C294: 0.028449, (C230: 0.032075, C225: 0.028409): 0.019701): 0.085255): 0.026820, (C171: 0.011213, C73: 0.047782): 0.005261): 0.011362, C70: 0.030001): 0.015603, (C57: 0.009521, C78: 0.000004, C76: 0.002370): 0.002636): 0.002256, C259: 0.021571): 0.007409, C142: 0.019436): 0.009642, (C252: 0.009568, ((C129: 0.002367, C128: 0.000004): 0.007165, C130: 0.009558): 0.002351): 0.004778): 0.002294);
Detailed output identifying parameters
kappa (ts/tv) = 4.10312
MLEs of dN/dS (w) for site classes (K=3)
p: 0.93293 0.00000 0.06707
w: 0.07614 1.00000 1.43893
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.010 976.1 355.9 0.1675 0.0014 0.0082 1.3 2.9
31..32 0.010 976.1 355.9 0.1675 0.0014 0.0082 1.3 2.9
32..23 0.000 976.1 355.9 0.1675 0.0000 0.0000 0.0 0.0
32..24 0.000 976.1 355.9 0.1675 0.0000 0.0000 0.0 0.0
31..33 0.002 976.1 355.9 0.1675 0.0003 0.0020 0.3 0.7
33..34 0.010 976.1 355.9 0.1675 0.0014 0.0082 1.3 2.9
34..35 0.007 976.1 355.9 0.1675 0.0011 0.0063 1.0 2.3
35..36 0.002 976.1 355.9 0.1675 0.0003 0.0019 0.3 0.7
36..37 0.016 976.1 355.9 0.1675 0.0022 0.0133 2.2 4.7
37..38 0.011 976.1 355.9 0.1675 0.0016 0.0097 1.6 3.5
38..39 0.027 976.1 355.9 0.1675 0.0038 0.0229 3.7 8.2
39..40 0.036 976.1 355.9 0.1675 0.0052 0.0308 5.0 11.0
40..41 0.017 976.1 355.9 0.1675 0.0024 0.0145 2.4 5.2
41..42 0.015 976.1 355.9 0.1675 0.0021 0.0126 2.1 4.5
42..43 0.002 976.1 355.9 0.1675 0.0003 0.0020 0.3 0.7
43..11 0.005 976.1 355.9 0.1675 0.0007 0.0040 0.7 1.4
43..44 0.007 976.1 355.9 0.1675 0.0010 0.0060 1.0 2.1
44..21 0.005 976.1 355.9 0.1675 0.0007 0.0040 0.7 1.4
44..20 0.012 976.1 355.9 0.1675 0.0017 0.0101 1.7 3.6
42..45 0.009 976.1 355.9 0.1675 0.0014 0.0081 1.3 2.9
45..46 0.012 976.1 355.9 0.1675 0.0017 0.0101 1.7 3.6
46..13 0.000 976.1 355.9 0.1675 0.0000 0.0000 0.0 0.0
46..29 0.002 976.1 355.9 0.1675 0.0003 0.0020 0.3 0.7
45..17 0.000 976.1 355.9 0.1675 0.0000 0.0000 0.0 0.0
45..22 0.000 976.1 355.9 0.1675 0.0000 0.0000 0.0 0.0
45..27 0.000 976.1 355.9 0.1675 0.0000 0.0000 0.0 0.0
45..7 0.000 976.1 355.9 0.1675 0.0000 0.0000 0.0 0.0
42..2 0.005 976.1 355.9 0.1675 0.0007 0.0040 0.7 1.4
41..3 0.014 976.1 355.9 0.1675 0.0020 0.0118 1.9 4.2
40..8 0.017 976.1 355.9 0.1675 0.0025 0.0147 2.4 5.2
39..47 0.085 976.1 355.9 0.1675 0.0122 0.0729 11.9 25.9
47..18 0.028 976.1 355.9 0.1675 0.0041 0.0243 4.0 8.7
47..48 0.020 976.1 355.9 0.1675 0.0028 0.0168 2.8 6.0
48..4 0.032 976.1 355.9 0.1675 0.0046 0.0274 4.5 9.8
48..5 0.028 976.1 355.9 0.1675 0.0041 0.0243 4.0 8.6
38..49 0.005 976.1 355.9 0.1675 0.0008 0.0045 0.7 1.6
49..15 0.011 976.1 355.9 0.1675 0.0016 0.0096 1.6 3.4
49..9 0.048 976.1 355.9 0.1675 0.0068 0.0408 6.7 14.5
37..10 0.030 976.1 355.9 0.1675 0.0043 0.0256 4.2 9.1
36..50 0.003 976.1 355.9 0.1675 0.0004 0.0023 0.4 0.8
50..26 0.010 976.1 355.9 0.1675 0.0014 0.0081 1.3 2.9
50..6 0.000 976.1 355.9 0.1675 0.0000 0.0000 0.0 0.0
50..25 0.002 976.1 355.9 0.1675 0.0003 0.0020 0.3 0.7
35..16 0.022 976.1 355.9 0.1675 0.0031 0.0184 3.0 6.6
34..28 0.019 976.1 355.9 0.1675 0.0028 0.0166 2.7 5.9
33..51 0.005 976.1 355.9 0.1675 0.0007 0.0041 0.7 1.5
51..30 0.010 976.1 355.9 0.1675 0.0014 0.0082 1.3 2.9
51..52 0.002 976.1 355.9 0.1675 0.0003 0.0020 0.3 0.7
52..53 0.007 976.1 355.9 0.1675 0.0010 0.0061 1.0 2.2
53..1 0.002 976.1 355.9 0.1675 0.0003 0.0020 0.3 0.7
53..19 0.000 976.1 355.9 0.1675 0.0000 0.0000 0.0 0.0
52..14 0.010 976.1 355.9 0.1675 0.0014 0.0082 1.3 2.9
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C129)
Pr(w>1) post mean +- SE for w
9 S 0.922 1.333
33 S 0.854 1.239
36 V 0.986* 1.419
49 V 0.999** 1.438
133 H 0.784 1.145
145 V 0.901 1.304
146 Y 0.995** 1.432
162 L 0.910 1.317
220 T 0.900 1.302
221 S 0.991** 1.426
254 Q 0.881 1.277
334 L 0.949 1.369
338 L 0.858 1.246
409 A 0.895 1.296
437 F 0.822 1.196
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: C129)
Pr(w>1) post mean +- SE for w
9 S 0.578 1.354 +- 0.494
36 V 0.578 1.368 +- 0.431
49 V 0.679 1.448 +- 0.448
145 V 0.545 1.319 +- 0.494
146 Y 0.687 1.459 +- 0.462
162 L 0.559 1.334 +- 0.494
220 T 0.544 1.317 +- 0.494
221 S 0.623 1.407 +- 0.447
254 Q 0.519 1.289 +- 0.493
334 L 0.624 1.400 +- 0.493
409 A 0.538 1.310 +- 0.494
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: 0.998 0.002 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
w2: 0.867 0.125 0.007 0.001 0.000 0.000 0.000 0.000 0.000 0.000
Posterior for p0-p1 (see the ternary graph) (YWN2015, fig. 1)
0.000
0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.143
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.002 0.372 0.483
sum of density on p0-p1 = 1.000000
Time used: 24:13
Model 7: beta (10 categories)
TREE # 1: (12, (23, 24), (((((((((((11, (21, 20)), ((13, 29), 17, 22, 27, 7), 2), 3), 8), (18, (4, 5))), (15, 9)), 10), (26, 6, 25)), 16), 28), (30, ((1, 19), 14)))); MP score: 258
lnL(ntime: 52 np: 55): -3417.589913 +0.000000
31..12 31..32 32..23 32..24 31..33 33..34 34..35 35..36 36..37 37..38 38..39 39..40 40..41 41..42 42..43 43..11 43..44 44..21 44..20 42..45 45..46 46..13 46..29 45..17 45..22 45..27 45..7 42..2 41..3 40..8 39..47 47..18 47..48 48..4 48..5 38..49 49..15 49..9 37..10 36..50 50..26 50..6 50..25 35..16 34..28 33..51 51..30 51..52 52..53 53..1 53..19 52..14
0.009554 0.009541 0.000004 0.000004 0.002264 0.009516 0.007383 0.002224 0.015431 0.011243 0.026489 0.035700 0.016812 0.014629 0.002348 0.004668 0.007020 0.004706 0.011788 0.009370 0.011753 0.000004 0.002336 0.000004 0.000004 0.000004 0.000004 0.004653 0.013693 0.016969 0.084618 0.028052 0.019420 0.031561 0.028397 0.005217 0.011115 0.047271 0.029707 0.002607 0.009430 0.000004 0.002347 0.021329 0.019213 0.004741 0.009481 0.002328 0.007102 0.002347 0.000004 0.009479 4.055135 0.130829 0.685355
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.625892
(12: 0.009554, (23: 0.000004, 24: 0.000004): 0.009541, (((((((((((11: 0.004668, (21: 0.004706, 20: 0.011788): 0.007020): 0.002348, ((13: 0.000004, 29: 0.002336): 0.011753, 17: 0.000004, 22: 0.000004, 27: 0.000004, 7: 0.000004): 0.009370, 2: 0.004653): 0.014629, 3: 0.013693): 0.016812, 8: 0.016969): 0.035700, (18: 0.028052, (4: 0.031561, 5: 0.028397): 0.019420): 0.084618): 0.026489, (15: 0.011115, 9: 0.047271): 0.005217): 0.011243, 10: 0.029707): 0.015431, (26: 0.009430, 6: 0.000004, 25: 0.002347): 0.002607): 0.002224, 16: 0.021329): 0.007383, 28: 0.019213): 0.009516, (30: 0.009481, ((1: 0.002347, 19: 0.000004): 0.007102, 14: 0.009479): 0.002328): 0.004741): 0.002264);
(C256: 0.009554, (C135: 0.000004, C134: 0.000004): 0.009541, (((((((((((C49: 0.004668, (C19: 0.004706, C69: 0.011788): 0.007020): 0.002348, ((C95: 0.000004, C83: 0.002336): 0.011753, C177: 0.000004, C43: 0.000004, C22: 0.000004, C34: 0.000004): 0.009370, C213: 0.004653): 0.014629, C200: 0.013693): 0.016812, C184: 0.016969): 0.035700, (C294: 0.028052, (C230: 0.031561, C225: 0.028397): 0.019420): 0.084618): 0.026489, (C171: 0.011115, C73: 0.047271): 0.005217): 0.011243, C70: 0.029707): 0.015431, (C57: 0.009430, C78: 0.000004, C76: 0.002347): 0.002607): 0.002224, C259: 0.021329): 0.007383, C142: 0.019213): 0.009516, (C252: 0.009481, ((C129: 0.002347, C128: 0.000004): 0.007102, C130: 0.009479): 0.002328): 0.004741): 0.002264);
Detailed output identifying parameters
kappa (ts/tv) = 4.05513
Parameters in M7 (beta):
p = 0.13083 q = 0.68535
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 0.00005 0.00060 0.00412 0.01900 0.06720 0.19307 0.45692 0.85320
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.010 976.6 355.4 0.1594 0.0013 0.0083 1.3 2.9
31..32 0.010 976.6 355.4 0.1594 0.0013 0.0083 1.3 2.9
32..23 0.000 976.6 355.4 0.1594 0.0000 0.0000 0.0 0.0
32..24 0.000 976.6 355.4 0.1594 0.0000 0.0000 0.0 0.0
31..33 0.002 976.6 355.4 0.1594 0.0003 0.0020 0.3 0.7
33..34 0.010 976.6 355.4 0.1594 0.0013 0.0083 1.3 2.9
34..35 0.007 976.6 355.4 0.1594 0.0010 0.0064 1.0 2.3
35..36 0.002 976.6 355.4 0.1594 0.0003 0.0019 0.3 0.7
36..37 0.015 976.6 355.4 0.1594 0.0021 0.0134 2.1 4.8
37..38 0.011 976.6 355.4 0.1594 0.0016 0.0098 1.5 3.5
38..39 0.026 976.6 355.4 0.1594 0.0037 0.0230 3.6 8.2
39..40 0.036 976.6 355.4 0.1594 0.0049 0.0310 4.8 11.0
40..41 0.017 976.6 355.4 0.1594 0.0023 0.0146 2.3 5.2
41..42 0.015 976.6 355.4 0.1594 0.0020 0.0127 2.0 4.5
42..43 0.002 976.6 355.4 0.1594 0.0003 0.0020 0.3 0.7
43..11 0.005 976.6 355.4 0.1594 0.0006 0.0041 0.6 1.4
43..44 0.007 976.6 355.4 0.1594 0.0010 0.0061 0.9 2.2
44..21 0.005 976.6 355.4 0.1594 0.0007 0.0041 0.6 1.5
44..20 0.012 976.6 355.4 0.1594 0.0016 0.0102 1.6 3.6
42..45 0.009 976.6 355.4 0.1594 0.0013 0.0081 1.3 2.9
45..46 0.012 976.6 355.4 0.1594 0.0016 0.0102 1.6 3.6
46..13 0.000 976.6 355.4 0.1594 0.0000 0.0000 0.0 0.0
46..29 0.002 976.6 355.4 0.1594 0.0003 0.0020 0.3 0.7
45..17 0.000 976.6 355.4 0.1594 0.0000 0.0000 0.0 0.0
45..22 0.000 976.6 355.4 0.1594 0.0000 0.0000 0.0 0.0
45..27 0.000 976.6 355.4 0.1594 0.0000 0.0000 0.0 0.0
45..7 0.000 976.6 355.4 0.1594 0.0000 0.0000 0.0 0.0
42..2 0.005 976.6 355.4 0.1594 0.0006 0.0040 0.6 1.4
41..3 0.014 976.6 355.4 0.1594 0.0019 0.0119 1.9 4.2
40..8 0.017 976.6 355.4 0.1594 0.0024 0.0147 2.3 5.2
39..47 0.085 976.6 355.4 0.1594 0.0117 0.0735 11.4 26.1
47..18 0.028 976.6 355.4 0.1594 0.0039 0.0244 3.8 8.7
47..48 0.019 976.6 355.4 0.1594 0.0027 0.0169 2.6 6.0
48..4 0.032 976.6 355.4 0.1594 0.0044 0.0274 4.3 9.7
48..5 0.028 976.6 355.4 0.1594 0.0039 0.0247 3.8 8.8
38..49 0.005 976.6 355.4 0.1594 0.0007 0.0045 0.7 1.6
49..15 0.011 976.6 355.4 0.1594 0.0015 0.0097 1.5 3.4
49..9 0.047 976.6 355.4 0.1594 0.0065 0.0411 6.4 14.6
37..10 0.030 976.6 355.4 0.1594 0.0041 0.0258 4.0 9.2
36..50 0.003 976.6 355.4 0.1594 0.0004 0.0023 0.4 0.8
50..26 0.009 976.6 355.4 0.1594 0.0013 0.0082 1.3 2.9
50..6 0.000 976.6 355.4 0.1594 0.0000 0.0000 0.0 0.0
50..25 0.002 976.6 355.4 0.1594 0.0003 0.0020 0.3 0.7
35..16 0.021 976.6 355.4 0.1594 0.0030 0.0185 2.9 6.6
34..28 0.019 976.6 355.4 0.1594 0.0027 0.0167 2.6 5.9
33..51 0.005 976.6 355.4 0.1594 0.0007 0.0041 0.6 1.5
51..30 0.009 976.6 355.4 0.1594 0.0013 0.0082 1.3 2.9
51..52 0.002 976.6 355.4 0.1594 0.0003 0.0020 0.3 0.7
52..53 0.007 976.6 355.4 0.1594 0.0010 0.0062 1.0 2.2
53..1 0.002 976.6 355.4 0.1594 0.0003 0.0020 0.3 0.7
53..19 0.000 976.6 355.4 0.1594 0.0000 0.0000 0.0 0.0
52..14 0.009 976.6 355.4 0.1594 0.0013 0.0082 1.3 2.9
Time used: 1:04:22
Model 8: beta&w>1 (11 categories)
TREE # 1: (12, (23, 24), (((((((((((11, (21, 20)), ((13, 29), 17, 22, 27, 7), 2), 3), 8), (18, (4, 5))), (15, 9)), 10), (26, 6, 25)), 16), 28), (30, ((1, 19), 14)))); MP score: 258
lnL(ntime: 52 np: 57): -3416.077507 +0.000000
31..12 31..32 32..23 32..24 31..33 33..34 34..35 35..36 36..37 37..38 38..39 39..40 40..41 41..42 42..43 43..11 43..44 44..21 44..20 42..45 45..46 46..13 46..29 45..17 45..22 45..27 45..7 42..2 41..3 40..8 39..47 47..18 47..48 48..4 48..5 38..49 49..15 49..9 37..10 36..50 50..26 50..6 50..25 35..16 34..28 33..51 51..30 51..52 52..53 53..1 53..19 52..14
0.009645 0.009626 0.000004 0.000004 0.002293 0.009641 0.007407 0.002256 0.015601 0.011361 0.026816 0.036067 0.016930 0.014771 0.002370 0.004691 0.007066 0.004734 0.011860 0.009438 0.011850 0.000004 0.002354 0.000004 0.000004 0.000004 0.000004 0.004684 0.013788 0.017147 0.085244 0.028446 0.019698 0.032072 0.028406 0.005261 0.011212 0.047776 0.029997 0.002636 0.009520 0.000004 0.002370 0.021568 0.019434 0.004778 0.009567 0.002351 0.007164 0.002367 0.000004 0.009557 4.102844 0.934016 8.316666 99.000000 1.446804
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.631856
(12: 0.009645, (23: 0.000004, 24: 0.000004): 0.009626, (((((((((((11: 0.004691, (21: 0.004734, 20: 0.011860): 0.007066): 0.002370, ((13: 0.000004, 29: 0.002354): 0.011850, 17: 0.000004, 22: 0.000004, 27: 0.000004, 7: 0.000004): 0.009438, 2: 0.004684): 0.014771, 3: 0.013788): 0.016930, 8: 0.017147): 0.036067, (18: 0.028446, (4: 0.032072, 5: 0.028406): 0.019698): 0.085244): 0.026816, (15: 0.011212, 9: 0.047776): 0.005261): 0.011361, 10: 0.029997): 0.015601, (26: 0.009520, 6: 0.000004, 25: 0.002370): 0.002636): 0.002256, 16: 0.021568): 0.007407, 28: 0.019434): 0.009641, (30: 0.009567, ((1: 0.002367, 19: 0.000004): 0.007164, 14: 0.009557): 0.002351): 0.004778): 0.002293);
(C256: 0.009645, (C135: 0.000004, C134: 0.000004): 0.009626, (((((((((((C49: 0.004691, (C19: 0.004734, C69: 0.011860): 0.007066): 0.002370, ((C95: 0.000004, C83: 0.002354): 0.011850, C177: 0.000004, C43: 0.000004, C22: 0.000004, C34: 0.000004): 0.009438, C213: 0.004684): 0.014771, C200: 0.013788): 0.016930, C184: 0.017147): 0.036067, (C294: 0.028446, (C230: 0.032072, C225: 0.028406): 0.019698): 0.085244): 0.026816, (C171: 0.011212, C73: 0.047776): 0.005261): 0.011361, C70: 0.029997): 0.015601, (C57: 0.009520, C78: 0.000004, C76: 0.002370): 0.002636): 0.002256, C259: 0.021568): 0.007407, C142: 0.019434): 0.009641, (C252: 0.009567, ((C129: 0.002367, C128: 0.000004): 0.007164, C130: 0.009557): 0.002351): 0.004778): 0.002293);
Detailed output identifying parameters
kappa (ts/tv) = 4.10284
Parameters in M8 (beta&w>1):
p0 = 0.93402 p = 8.31667 q = 99.00000
(p1 = 0.06598) w = 1.44680
MLEs of dN/dS (w) for site classes (K=11)
p: 0.09340 0.09340 0.09340 0.09340 0.09340 0.09340 0.09340 0.09340 0.09340 0.09340 0.06598
w: 0.04015 0.05138 0.05895 0.06548 0.07173 0.07811 0.08506 0.09321 0.10404 0.12379 1.44680
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.010 976.1 355.9 0.1676 0.0014 0.0082 1.3 2.9
31..32 0.010 976.1 355.9 0.1676 0.0014 0.0082 1.3 2.9
32..23 0.000 976.1 355.9 0.1676 0.0000 0.0000 0.0 0.0
32..24 0.000 976.1 355.9 0.1676 0.0000 0.0000 0.0 0.0
31..33 0.002 976.1 355.9 0.1676 0.0003 0.0020 0.3 0.7
33..34 0.010 976.1 355.9 0.1676 0.0014 0.0082 1.3 2.9
34..35 0.007 976.1 355.9 0.1676 0.0011 0.0063 1.0 2.3
35..36 0.002 976.1 355.9 0.1676 0.0003 0.0019 0.3 0.7
36..37 0.016 976.1 355.9 0.1676 0.0022 0.0133 2.2 4.7
37..38 0.011 976.1 355.9 0.1676 0.0016 0.0097 1.6 3.5
38..39 0.027 976.1 355.9 0.1676 0.0038 0.0229 3.7 8.2
39..40 0.036 976.1 355.9 0.1676 0.0052 0.0308 5.0 11.0
40..41 0.017 976.1 355.9 0.1676 0.0024 0.0145 2.4 5.2
41..42 0.015 976.1 355.9 0.1676 0.0021 0.0126 2.1 4.5
42..43 0.002 976.1 355.9 0.1676 0.0003 0.0020 0.3 0.7
43..11 0.005 976.1 355.9 0.1676 0.0007 0.0040 0.7 1.4
43..44 0.007 976.1 355.9 0.1676 0.0010 0.0060 1.0 2.1
44..21 0.005 976.1 355.9 0.1676 0.0007 0.0040 0.7 1.4
44..20 0.012 976.1 355.9 0.1676 0.0017 0.0101 1.7 3.6
42..45 0.009 976.1 355.9 0.1676 0.0014 0.0081 1.3 2.9
45..46 0.012 976.1 355.9 0.1676 0.0017 0.0101 1.7 3.6
46..13 0.000 976.1 355.9 0.1676 0.0000 0.0000 0.0 0.0
46..29 0.002 976.1 355.9 0.1676 0.0003 0.0020 0.3 0.7
45..17 0.000 976.1 355.9 0.1676 0.0000 0.0000 0.0 0.0
45..22 0.000 976.1 355.9 0.1676 0.0000 0.0000 0.0 0.0
45..27 0.000 976.1 355.9 0.1676 0.0000 0.0000 0.0 0.0
45..7 0.000 976.1 355.9 0.1676 0.0000 0.0000 0.0 0.0
42..2 0.005 976.1 355.9 0.1676 0.0007 0.0040 0.7 1.4
41..3 0.014 976.1 355.9 0.1676 0.0020 0.0118 1.9 4.2
40..8 0.017 976.1 355.9 0.1676 0.0025 0.0147 2.4 5.2
39..47 0.085 976.1 355.9 0.1676 0.0122 0.0729 11.9 25.9
47..18 0.028 976.1 355.9 0.1676 0.0041 0.0243 4.0 8.7
47..48 0.020 976.1 355.9 0.1676 0.0028 0.0168 2.8 6.0
48..4 0.032 976.1 355.9 0.1676 0.0046 0.0274 4.5 9.8
48..5 0.028 976.1 355.9 0.1676 0.0041 0.0243 4.0 8.6
38..49 0.005 976.1 355.9 0.1676 0.0008 0.0045 0.7 1.6
49..15 0.011 976.1 355.9 0.1676 0.0016 0.0096 1.6 3.4
49..9 0.048 976.1 355.9 0.1676 0.0068 0.0408 6.7 14.5
37..10 0.030 976.1 355.9 0.1676 0.0043 0.0256 4.2 9.1
36..50 0.003 976.1 355.9 0.1676 0.0004 0.0023 0.4 0.8
50..26 0.010 976.1 355.9 0.1676 0.0014 0.0081 1.3 2.9
50..6 0.000 976.1 355.9 0.1676 0.0000 0.0000 0.0 0.0
50..25 0.002 976.1 355.9 0.1676 0.0003 0.0020 0.3 0.7
35..16 0.022 976.1 355.9 0.1676 0.0031 0.0184 3.0 6.6
34..28 0.019 976.1 355.9 0.1676 0.0028 0.0166 2.7 5.9
33..51 0.005 976.1 355.9 0.1676 0.0007 0.0041 0.7 1.5
51..30 0.010 976.1 355.9 0.1676 0.0014 0.0082 1.3 2.9
51..52 0.002 976.1 355.9 0.1676 0.0003 0.0020 0.3 0.7
52..53 0.007 976.1 355.9 0.1676 0.0010 0.0061 1.0 2.2
53..1 0.002 976.1 355.9 0.1676 0.0003 0.0020 0.3 0.7
53..19 0.000 976.1 355.9 0.1676 0.0000 0.0000 0.0 0.0
52..14 0.010 976.1 355.9 0.1676 0.0014 0.0082 1.3 2.9
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C129)
Pr(w>1) post mean +- SE for w
9 S 0.913 1.329
33 S 0.838 1.227
36 V 0.981* 1.421
49 V 0.999** 1.445
133 H 0.764 1.127
145 V 0.890 1.297
146 Y 0.994** 1.438
162 L 0.900 1.311
220 T 0.888 1.295
221 S 0.988* 1.430
254 Q 0.868 1.268
334 L 0.942 1.368
338 L 0.843 1.234
409 A 0.883 1.289
437 F 0.804 1.182
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: C129)
Pr(w>1) post mean +- SE for w
9 S 0.705 1.298 +- 0.588
33 S 0.577 1.134 +- 0.625
36 V 0.758 1.372 +- 0.518
49 V 0.883 1.507 +- 0.427
145 V 0.661 1.242 +- 0.606
146 Y 0.868 1.491 +- 0.451
162 L 0.680 1.267 +- 0.599
220 T 0.658 1.239 +- 0.607
221 S 0.808 1.428 +- 0.492
254 Q 0.623 1.194 +- 0.617
334 L 0.766 1.372 +- 0.554
338 L 0.585 1.144 +- 0.624
409 A 0.650 1.229 +- 0.610
437 F 0.531 1.072 +- 0.628
The grid
p0: 0.050 0.150 0.250 0.350 0.450 0.550 0.650 0.750 0.850 0.950
p : 0.100 0.300 0.500 0.700 0.900 1.100 1.300 1.500 1.700 1.900
q : 0.100 0.300 0.500 0.700 0.900 1.100 1.300 1.500 1.700 1.900
ws: 1.500 2.500 3.500 4.500 5.500 6.500 7.500 8.500 9.500 10.500
Posterior on the grid
p0: 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 1.000
p : 0.995 0.005 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
q : 0.000 0.000 0.000 0.009 0.057 0.129 0.185 0.210 0.210 0.199
ws: 0.895 0.103 0.002 0.000 0.000 0.000 0.000 0.000 0.000 0.000
Time used: 2:22:10
Model 1: NearlyNeutral -3416.455613 Model 2: PositiveSelection -3416.054622 Model 7: beta -3417.589913 Model 8: beta&w>1 -3416.077507 Model 2 vs 1 .801982 Model 8 vs 7 3.024812
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
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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
