--- 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 -589.54 -605.15
2 -589.93 -606.17
--------------------------------------
TOTAL -589.71 -605.79
--------------------------------------
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} 0.078476 0.000589 0.037946 0.129316 0.074769 845.70 847.84 1.000
r(A<->C){all} 0.088002 0.003670 0.000601 0.202319 0.074698 176.78 230.83 1.004
r(A<->G){all} 0.210242 0.006594 0.057109 0.363295 0.199846 151.83 170.07 1.000
r(A<->T){all} 0.054851 0.001091 0.003111 0.115342 0.048935 265.36 273.80 1.000
r(C<->G){all} 0.068074 0.004021 0.000026 0.194790 0.049080 84.96 113.01 1.003
r(C<->T){all} 0.518761 0.010180 0.332527 0.717673 0.518872 137.30 150.51 1.001
r(G<->T){all} 0.060070 0.001955 0.000299 0.148668 0.048964 195.56 269.88 1.002
pi(A){all} 0.320324 0.000608 0.271798 0.368666 0.320245 837.93 893.46 1.000
pi(C){all} 0.134634 0.000318 0.100301 0.169285 0.133864 713.77 855.71 1.000
pi(G){all} 0.190718 0.000442 0.152745 0.234339 0.189361 688.72 750.68 1.000
pi(T){all} 0.354324 0.000656 0.306813 0.407215 0.353881 590.46 734.17 1.000
alpha{1,2} 0.553555 0.514096 0.000470 2.084553 0.279106 595.14 638.07 1.000
alpha{3} 1.365435 1.232903 0.002734 3.556780 1.099491 720.22 836.76 1.000
pinvar{all} 0.484314 0.051695 0.027943 0.824818 0.519032 302.86 309.64 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
--- CODEML SUMMARY
Model 1: NearlyNeutral -535.393140
Model 2: PositiveSelection -535.393069
Model 7: beta -535.399660
Model 8: beta&w>1 -535.399732
Model 2 vs 1 .000142
Model 8 vs 7 -.000144
-- Starting log on Fri Nov 18 14:40:34 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Fri Nov 18 15:00:30 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Sat Nov 19 04:17:40 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/gapped_alignment/codeml,DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_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 330 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C192
Taxon 2 -> C256
Taxon 3 -> C37
Taxon 4 -> C101
Taxon 5 -> C165
Taxon 6 -> C191
Taxon 7 -> C240
Taxon 8 -> C276
Taxon 9 -> C34
Taxon 10 -> C49
Taxon 11 -> C252
Taxon 12 -> C13
Taxon 13 -> C16
Taxon 14 -> C178
Taxon 15 -> C209
Taxon 16 -> C213
Taxon 17 -> C126
Taxon 18 -> C219
Taxon 19 -> C226
Taxon 20 -> C254
Taxon 21 -> C261
Taxon 22 -> C265
Taxon 23 -> C130
Taxon 24 -> C131
Taxon 25 -> C129
Taxon 26 -> C22
Taxon 27 -> C43
Taxon 28 -> C2
Taxon 29 -> C32
Taxon 30 -> C33
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1668831462
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) = 1692600861
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 = 8252706900
Seed = 881236815
Swapseed = 1668831462
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 5 unique site patterns
Division 2 has 6 unique site patterns
Division 3 has 19 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 -- -1024.649277 -- 82.122948
Chain 2 -- -1047.318334 -- 82.122948
Chain 3 -- -1028.416173 -- 82.122948
Chain 4 -- -1017.681130 -- 82.122948
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -1043.187959 -- 82.122948
Chain 2 -- -1012.136751 -- 82.122948
Chain 3 -- -1048.245590 -- 82.122948
Chain 4 -- -1046.702437 -- 82.122948
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-1024.649] (-1047.318) (-1028.416) (-1017.681) * [-1043.188] (-1012.137) (-1048.246) (-1046.702)
1000 -- (-621.960) (-654.330) (-644.949) [-638.228] * (-637.372) (-645.663) (-673.839) [-622.978] -- 0:16:39
2000 -- [-595.749] (-606.568) (-617.506) (-621.068) * [-598.205] (-627.347) (-604.426) (-598.100) -- 0:08:19
3000 -- [-593.778] (-604.190) (-610.533) (-618.092) * [-591.490] (-601.102) (-611.240) (-607.935) -- 0:05:32
4000 -- [-599.814] (-609.378) (-612.506) (-603.370) * [-600.667] (-595.879) (-599.534) (-603.185) -- 0:08:18
5000 -- (-599.612) (-607.091) (-610.612) [-599.808] * [-596.348] (-601.636) (-601.144) (-610.096) -- 0:06:38
Average standard deviation of split frequencies: 0.081818
6000 -- [-591.013] (-616.248) (-611.125) (-599.443) * (-600.152) [-591.976] (-607.483) (-603.003) -- 0:08:17
7000 -- (-595.098) (-620.956) (-603.899) [-601.852] * [-594.906] (-608.166) (-606.238) (-603.574) -- 0:07:05
8000 -- (-605.692) (-628.667) (-596.625) [-599.001] * (-603.801) (-592.637) [-604.090] (-632.046) -- 0:08:16
9000 -- (-602.354) (-622.313) [-592.314] (-597.158) * (-594.669) [-595.043] (-599.158) (-608.809) -- 0:07:20
10000 -- (-599.847) (-621.928) (-593.826) [-599.988] * (-601.526) (-642.355) [-600.093] (-606.816) -- 0:08:15
Average standard deviation of split frequencies: 0.081023
11000 -- [-599.548] (-640.221) (-597.964) (-612.794) * [-594.270] (-643.130) (-597.604) (-608.906) -- 0:07:29
12000 -- (-600.110) (-632.806) [-586.832] (-633.727) * (-604.848) (-637.709) [-596.827] (-608.406) -- 0:08:14
13000 -- [-596.653] (-633.733) (-598.834) (-633.339) * (-595.526) (-636.647) [-600.299] (-620.519) -- 0:07:35
14000 -- (-604.836) (-639.404) [-592.192] (-626.906) * [-599.973] (-637.238) (-591.117) (-622.094) -- 0:07:02
15000 -- (-602.823) (-628.398) [-593.852] (-622.467) * [-591.934] (-633.299) (-592.468) (-611.440) -- 0:07:39
Average standard deviation of split frequencies: 0.067479
16000 -- (-590.813) (-625.263) [-595.285] (-625.796) * (-600.411) (-631.561) [-593.649] (-610.885) -- 0:07:10
17000 -- [-598.138] (-631.079) (-593.829) (-616.950) * [-594.711] (-632.656) (-592.755) (-614.754) -- 0:07:42
18000 -- (-605.699) (-633.812) [-593.165] (-620.367) * (-596.037) (-636.573) [-589.091] (-609.160) -- 0:07:16
19000 -- [-602.937] (-626.165) (-596.311) (-622.575) * [-589.942] (-632.296) (-593.781) (-615.435) -- 0:07:44
20000 -- [-595.613] (-634.144) (-595.326) (-624.055) * [-594.484] (-634.151) (-596.216) (-625.025) -- 0:07:21
Average standard deviation of split frequencies: 0.066675
21000 -- (-600.051) (-626.493) [-600.375] (-625.141) * [-594.104] (-636.954) (-598.073) (-642.930) -- 0:06:59
22000 -- (-593.182) (-627.362) [-588.065] (-631.676) * [-587.896] (-640.458) (-607.689) (-640.035) -- 0:07:24
23000 -- [-597.707] (-624.746) (-604.733) (-623.521) * (-594.338) (-637.291) [-596.171] (-625.578) -- 0:07:04
24000 -- (-597.193) (-619.598) [-593.620] (-619.767) * [-597.923] (-632.471) (-596.550) (-630.464) -- 0:07:27
25000 -- [-591.940] (-622.449) (-604.139) (-623.613) * [-590.749] (-641.409) (-610.736) (-630.854) -- 0:07:09
Average standard deviation of split frequencies: 0.059832
26000 -- [-593.504] (-623.736) (-593.478) (-618.634) * [-594.824] (-646.145) (-591.927) (-628.381) -- 0:07:29
27000 -- [-590.028] (-624.497) (-602.757) (-632.613) * (-603.220) (-629.567) [-590.398] (-621.238) -- 0:07:12
28000 -- [-592.207] (-625.821) (-592.012) (-620.378) * (-601.457) (-631.945) [-585.527] (-629.135) -- 0:07:31
29000 -- [-598.291] (-622.403) (-599.794) (-627.545) * [-586.601] (-625.428) (-588.795) (-622.621) -- 0:07:15
30000 -- [-604.796] (-625.652) (-590.541) (-629.214) * (-589.346) (-628.545) [-591.326] (-624.373) -- 0:07:00
Average standard deviation of split frequencies: 0.057096
31000 -- (-610.230) (-627.454) [-595.359] (-622.946) * (-600.489) (-628.666) [-595.150] (-622.278) -- 0:07:17
32000 -- [-594.746] (-632.242) (-594.837) (-629.970) * (-599.894) (-624.612) [-591.476] (-625.460) -- 0:07:03
33000 -- (-599.316) (-625.842) [-594.484] (-627.165) * (-597.722) (-640.568) [-595.819] (-626.400) -- 0:07:19
34000 -- [-593.747] (-620.166) (-604.404) (-626.647) * (-598.250) (-633.423) [-599.405] (-619.449) -- 0:07:06
35000 -- (-599.457) (-632.726) [-594.635] (-627.035) * (-612.767) (-627.502) [-590.213] (-622.969) -- 0:07:21
Average standard deviation of split frequencies: 0.056654
36000 -- (-593.533) (-636.515) [-602.357] (-632.827) * [-600.828] (-623.956) (-595.556) (-630.592) -- 0:07:08
37000 -- (-599.813) (-636.975) [-590.091] (-638.873) * [-593.597] (-631.260) (-595.509) (-626.187) -- 0:07:22
38000 -- (-594.796) (-627.087) [-596.269] (-630.443) * [-591.091] (-635.696) (-594.629) (-630.979) -- 0:07:10
39000 -- (-610.148) (-619.399) [-594.490] (-628.892) * (-603.095) (-636.848) [-592.915] (-624.024) -- 0:06:58
40000 -- (-602.222) (-639.418) [-594.634] (-628.361) * (-615.721) (-632.790) [-596.428] (-630.500) -- 0:07:12
Average standard deviation of split frequencies: 0.051759
41000 -- (-600.011) (-631.414) [-590.934] (-635.875) * (-601.373) (-647.197) [-597.358] (-632.313) -- 0:07:01
42000 -- (-596.931) (-625.233) [-596.644] (-633.606) * (-602.777) (-641.198) [-591.586] (-632.879) -- 0:07:13
43000 -- [-593.356] (-619.764) (-593.404) (-638.317) * (-599.209) (-630.438) [-591.325] (-632.851) -- 0:07:02
44000 -- (-604.966) (-634.589) [-593.418] (-630.272) * (-596.248) (-646.396) [-596.981] (-628.804) -- 0:07:14
45000 -- (-601.490) (-622.578) [-591.915] (-631.594) * (-607.706) (-636.620) [-594.667] (-630.740) -- 0:07:04
Average standard deviation of split frequencies: 0.043501
46000 -- (-604.674) (-632.538) [-594.257] (-631.238) * (-603.381) (-627.417) [-590.797] (-626.536) -- 0:06:54
47000 -- (-599.905) (-628.166) [-595.589] (-631.706) * (-613.789) (-639.141) [-588.948] (-623.693) -- 0:07:05
48000 -- [-592.905] (-624.971) (-594.340) (-629.155) * (-606.928) (-622.545) [-594.376] (-627.363) -- 0:06:56
49000 -- (-598.077) (-624.234) [-596.760] (-630.961) * (-600.188) (-627.235) [-595.429] (-620.251) -- 0:07:06
50000 -- (-593.600) (-636.388) [-595.312] (-630.520) * (-608.629) (-630.725) [-591.398] (-631.679) -- 0:06:58
Average standard deviation of split frequencies: 0.039939
51000 -- (-599.893) (-629.373) [-595.062] (-627.565) * (-604.045) (-633.379) [-599.261] (-630.852) -- 0:07:07
52000 -- (-601.879) (-631.264) [-593.419] (-626.286) * [-602.152] (-640.192) (-592.272) (-637.629) -- 0:06:59
53000 -- (-594.436) (-636.039) [-595.241] (-634.838) * (-614.692) (-631.177) [-597.295] (-637.739) -- 0:07:08
54000 -- [-592.830] (-635.041) (-608.562) (-631.696) * (-622.890) (-630.729) [-601.901] (-625.176) -- 0:07:00
55000 -- [-589.447] (-628.565) (-604.477) (-626.877) * (-609.498) (-632.578) [-604.632] (-624.927) -- 0:06:52
Average standard deviation of split frequencies: 0.037760
56000 -- (-600.394) (-625.774) [-594.495] (-621.583) * (-604.977) (-630.056) [-598.115] (-623.709) -- 0:07:01
57000 -- (-596.421) (-630.811) [-588.515] (-628.454) * (-609.671) (-643.598) [-596.677] (-638.666) -- 0:06:53
58000 -- [-596.643] (-629.332) (-599.281) (-642.036) * (-598.311) (-628.226) [-598.802] (-655.446) -- 0:07:02
59000 -- [-596.576] (-630.897) (-604.321) (-628.767) * (-599.029) (-629.831) [-596.628] (-630.322) -- 0:06:54
60000 -- [-596.726] (-638.940) (-598.832) (-626.441) * [-597.130] (-638.509) (-601.889) (-625.156) -- 0:07:03
Average standard deviation of split frequencies: 0.040112
61000 -- [-600.382] (-630.478) (-605.180) (-631.341) * [-600.540] (-634.418) (-605.034) (-629.962) -- 0:06:55
62000 -- [-595.963] (-622.150) (-603.939) (-632.391) * (-607.668) (-634.641) [-596.911] (-637.869) -- 0:07:03
63000 -- [-593.839] (-647.575) (-607.417) (-627.167) * [-595.714] (-627.086) (-605.009) (-641.236) -- 0:06:56
64000 -- [-591.079] (-623.755) (-603.877) (-625.881) * [-588.846] (-627.864) (-612.824) (-631.211) -- 0:06:49
65000 -- [-602.452] (-618.257) (-593.457) (-634.446) * [-599.734] (-636.659) (-601.823) (-627.891) -- 0:06:57
Average standard deviation of split frequencies: 0.034841
66000 -- [-604.293] (-635.519) (-597.018) (-626.489) * [-591.426] (-629.772) (-604.174) (-629.480) -- 0:06:50
67000 -- [-594.383] (-633.127) (-597.139) (-624.421) * [-596.037] (-624.840) (-609.805) (-627.219) -- 0:06:57
68000 -- (-598.437) (-629.937) [-601.422] (-636.492) * [-596.678] (-632.546) (-618.118) (-633.566) -- 0:06:51
69000 -- [-594.754] (-628.733) (-590.863) (-637.444) * [-588.347] (-630.812) (-617.713) (-644.386) -- 0:06:58
70000 -- [-593.742] (-621.997) (-597.559) (-635.690) * [-594.020] (-621.384) (-603.762) (-625.625) -- 0:06:51
Average standard deviation of split frequencies: 0.030876
71000 -- [-597.209] (-631.051) (-601.421) (-634.361) * [-589.632] (-627.089) (-607.388) (-643.922) -- 0:06:58
72000 -- [-596.028] (-638.281) (-600.349) (-632.299) * [-598.904] (-625.136) (-606.068) (-623.866) -- 0:06:52
73000 -- [-590.932] (-631.448) (-594.845) (-632.837) * [-590.390] (-629.161) (-596.479) (-628.396) -- 0:06:46
74000 -- [-600.938] (-623.393) (-601.102) (-646.760) * (-593.802) (-629.175) [-601.873] (-627.640) -- 0:06:52
75000 -- [-598.239] (-621.330) (-598.252) (-639.395) * [-596.903] (-619.489) (-603.873) (-625.518) -- 0:06:47
Average standard deviation of split frequencies: 0.030669
76000 -- [-596.475] (-621.730) (-594.187) (-623.868) * [-593.532] (-631.388) (-600.653) (-626.678) -- 0:06:53
77000 -- (-600.448) (-619.831) [-595.408] (-620.155) * [-597.108] (-624.001) (-619.872) (-627.724) -- 0:06:47
78000 -- [-599.017] (-619.894) (-593.391) (-628.331) * [-595.252] (-627.920) (-600.931) (-634.642) -- 0:06:53
79000 -- [-599.968] (-625.897) (-607.777) (-627.051) * [-586.857] (-622.386) (-602.563) (-626.899) -- 0:06:48
80000 -- [-594.084] (-626.448) (-597.051) (-630.311) * (-593.709) (-624.211) [-589.490] (-627.744) -- 0:06:42
Average standard deviation of split frequencies: 0.029585
81000 -- [-589.982] (-625.545) (-602.861) (-627.231) * [-592.938] (-625.250) (-598.970) (-625.654) -- 0:06:48
82000 -- [-594.233] (-626.347) (-597.284) (-628.027) * (-603.010) (-625.576) [-592.233] (-624.020) -- 0:06:43
83000 -- [-593.524] (-629.481) (-601.890) (-629.385) * [-599.859] (-634.361) (-595.250) (-624.038) -- 0:06:48
84000 -- [-587.015] (-625.478) (-604.379) (-632.074) * [-593.924] (-630.705) (-598.806) (-630.499) -- 0:06:43
85000 -- [-594.867] (-631.420) (-609.888) (-636.701) * [-594.420] (-645.303) (-594.001) (-631.437) -- 0:06:49
Average standard deviation of split frequencies: 0.027267
86000 -- [-595.176] (-643.162) (-596.029) (-627.964) * [-594.298] (-636.263) (-601.944) (-619.953) -- 0:06:43
87000 -- (-593.935) (-617.338) [-591.343] (-629.365) * (-597.789) (-629.327) [-599.001] (-633.318) -- 0:06:49
88000 -- [-596.567] (-622.961) (-597.016) (-629.109) * [-592.410] (-620.076) (-601.010) (-630.345) -- 0:06:44
89000 -- (-604.237) (-623.556) [-593.869] (-638.272) * [-601.436] (-624.785) (-598.810) (-624.720) -- 0:06:39
90000 -- [-593.506] (-625.841) (-597.580) (-623.846) * [-592.179] (-627.256) (-607.310) (-632.238) -- 0:06:44
Average standard deviation of split frequencies: 0.027585
91000 -- [-592.726] (-640.585) (-596.788) (-629.593) * [-594.059] (-631.258) (-602.963) (-631.191) -- 0:06:39
92000 -- (-599.124) (-629.439) [-597.188] (-627.781) * [-593.136] (-633.100) (-601.961) (-632.722) -- 0:06:44
93000 -- (-599.808) (-625.622) [-600.883] (-624.956) * [-602.674] (-623.212) (-601.925) (-623.218) -- 0:06:39
94000 -- (-596.086) (-635.826) [-592.625] (-623.900) * [-594.621] (-627.423) (-598.368) (-629.746) -- 0:06:44
95000 -- [-589.603] (-622.643) (-596.550) (-626.234) * (-600.443) (-624.639) [-594.797] (-628.309) -- 0:06:40
Average standard deviation of split frequencies: 0.025419
96000 -- (-598.370) (-624.574) [-597.892] (-634.034) * (-596.633) (-625.124) [-595.313] (-628.518) -- 0:06:35
97000 -- (-595.324) (-634.478) [-593.620] (-629.848) * [-596.595] (-619.371) (-599.670) (-631.559) -- 0:06:40
98000 -- [-601.384] (-625.110) (-594.513) (-622.402) * [-589.278] (-624.210) (-610.306) (-627.742) -- 0:06:35
99000 -- [-601.608] (-626.659) (-599.133) (-635.672) * [-594.767] (-629.690) (-594.141) (-633.109) -- 0:06:40
100000 -- [-605.467] (-636.236) (-607.320) (-632.490) * (-596.981) (-623.461) [-597.108] (-634.162) -- 0:06:36
Average standard deviation of split frequencies: 0.023827
101000 -- (-596.986) (-625.446) [-594.929] (-623.199) * [-587.323] (-628.300) (-600.760) (-636.240) -- 0:06:40
102000 -- [-594.168] (-628.199) (-597.880) (-628.625) * [-592.548] (-622.573) (-594.457) (-625.554) -- 0:06:36
103000 -- (-596.229) (-623.098) [-603.603] (-630.754) * [-596.043] (-626.699) (-599.087) (-636.554) -- 0:06:31
104000 -- [-595.113] (-623.516) (-599.516) (-634.335) * [-595.819] (-617.762) (-600.605) (-626.089) -- 0:06:36
105000 -- [-595.813] (-627.717) (-589.117) (-649.258) * [-597.487] (-625.057) (-593.787) (-626.929) -- 0:06:32
Average standard deviation of split frequencies: 0.021534
106000 -- [-591.634] (-626.393) (-604.031) (-628.265) * [-598.529] (-625.594) (-600.542) (-624.672) -- 0:06:36
107000 -- [-596.239] (-623.300) (-602.900) (-636.292) * [-603.069] (-623.137) (-592.742) (-624.029) -- 0:06:32
108000 -- [-596.488] (-623.723) (-604.698) (-630.200) * (-602.670) (-626.324) [-593.863] (-635.297) -- 0:06:36
109000 -- [-604.141] (-619.875) (-602.314) (-628.012) * (-597.362) (-633.555) [-593.728] (-628.454) -- 0:06:32
110000 -- [-599.287] (-628.302) (-608.724) (-628.070) * [-591.463] (-637.141) (-591.743) (-623.509) -- 0:06:28
Average standard deviation of split frequencies: 0.019760
111000 -- [-594.496] (-626.613) (-600.552) (-627.776) * (-602.789) (-631.964) [-587.305] (-628.263) -- 0:06:32
112000 -- [-598.431] (-624.989) (-601.938) (-626.609) * [-590.868] (-630.808) (-591.049) (-625.531) -- 0:06:28
113000 -- [-596.632] (-620.790) (-603.506) (-627.404) * (-595.436) (-636.377) [-591.006] (-626.351) -- 0:06:32
114000 -- [-594.445] (-632.329) (-602.760) (-632.759) * [-598.508] (-634.194) (-599.035) (-632.810) -- 0:06:28
115000 -- [-596.109] (-631.685) (-601.190) (-623.133) * [-592.967] (-624.108) (-601.261) (-621.316) -- 0:06:32
Average standard deviation of split frequencies: 0.019868
116000 -- [-592.414] (-624.971) (-599.034) (-623.858) * [-598.033] (-634.219) (-604.247) (-633.242) -- 0:06:28
117000 -- [-594.751] (-629.099) (-607.092) (-632.033) * (-601.544) (-630.415) [-594.737] (-618.124) -- 0:06:32
118000 -- [-589.942] (-626.547) (-592.352) (-627.074) * (-603.022) (-617.551) [-594.260] (-625.659) -- 0:06:28
119000 -- [-595.483] (-629.599) (-598.988) (-627.401) * (-592.314) (-624.408) [-596.753] (-631.285) -- 0:06:24
120000 -- [-592.190] (-624.257) (-601.518) (-627.098) * (-599.462) (-626.248) [-595.792] (-622.458) -- 0:06:28
Average standard deviation of split frequencies: 0.019757
121000 -- [-593.545] (-636.143) (-597.895) (-626.925) * (-601.805) (-626.118) [-593.255] (-618.637) -- 0:06:25
122000 -- [-592.947] (-625.528) (-596.831) (-634.345) * (-596.367) (-634.231) [-591.860] (-619.204) -- 0:06:28
123000 -- (-602.077) (-623.074) [-595.575] (-624.997) * (-595.811) (-627.224) [-605.936] (-637.144) -- 0:06:25
124000 -- (-602.099) (-623.965) [-588.618] (-630.869) * (-592.237) (-636.861) [-592.693] (-624.472) -- 0:06:28
125000 -- (-601.931) (-629.727) [-595.578] (-623.199) * (-595.700) (-632.623) [-594.704] (-619.513) -- 0:06:25
Average standard deviation of split frequencies: 0.018291
126000 -- [-593.211] (-627.855) (-597.563) (-625.429) * (-601.468) (-625.672) [-610.589] (-622.471) -- 0:06:21
127000 -- [-592.856] (-624.921) (-597.736) (-629.756) * [-598.072] (-625.381) (-602.460) (-628.686) -- 0:06:24
128000 -- [-596.049] (-624.594) (-598.536) (-624.137) * [-593.953] (-627.146) (-597.939) (-632.328) -- 0:06:21
129000 -- (-594.690) (-632.681) [-597.992] (-620.311) * [-594.366] (-630.696) (-594.199) (-630.887) -- 0:06:24
130000 -- (-599.364) (-623.684) [-594.690] (-629.209) * [-592.851] (-627.022) (-594.315) (-626.105) -- 0:06:21
Average standard deviation of split frequencies: 0.016183
131000 -- (-598.432) (-625.306) [-596.895] (-625.585) * [-595.043] (-629.589) (-612.050) (-633.490) -- 0:06:24
132000 -- (-595.874) (-624.228) [-592.155] (-642.559) * [-594.774] (-638.766) (-596.470) (-631.886) -- 0:06:21
133000 -- [-588.388] (-623.884) (-604.049) (-635.282) * [-596.050] (-655.466) (-597.470) (-630.552) -- 0:06:18
134000 -- [-598.824] (-628.119) (-601.325) (-631.862) * (-592.715) (-641.515) [-596.474] (-626.551) -- 0:06:21
135000 -- [-598.142] (-643.718) (-607.855) (-618.627) * [-598.521] (-636.888) (-593.199) (-639.855) -- 0:06:18
Average standard deviation of split frequencies: 0.014578
136000 -- (-598.075) (-630.517) [-595.535] (-625.903) * (-594.976) (-635.522) [-593.988] (-628.573) -- 0:06:21
137000 -- [-600.637] (-629.227) (-593.672) (-626.974) * [-601.809] (-634.343) (-597.178) (-625.557) -- 0:06:17
138000 -- [-605.739] (-640.963) (-591.885) (-623.183) * (-596.441) (-626.709) [-593.901] (-639.726) -- 0:06:21
139000 -- (-589.303) (-625.531) [-596.869] (-638.827) * (-599.265) (-617.846) [-591.729] (-633.625) -- 0:06:17
140000 -- (-600.705) (-628.254) [-593.326] (-636.508) * (-599.594) (-625.079) [-602.767] (-639.623) -- 0:06:20
Average standard deviation of split frequencies: 0.014401
141000 -- [-598.201] (-625.217) (-602.721) (-635.888) * [-589.476] (-629.229) (-598.400) (-644.370) -- 0:06:17
142000 -- [-596.329] (-627.285) (-613.381) (-626.989) * (-608.208) (-629.472) [-596.739] (-625.485) -- 0:06:14
143000 -- [-594.457] (-627.644) (-597.900) (-629.403) * (-622.971) (-625.606) [-593.542] (-627.675) -- 0:06:17
144000 -- [-597.186] (-631.666) (-604.894) (-630.090) * (-603.213) (-628.589) [-599.134] (-621.968) -- 0:06:14
145000 -- (-595.081) (-624.891) [-602.160] (-621.809) * (-602.694) (-630.360) [-596.740] (-626.195) -- 0:06:17
Average standard deviation of split frequencies: 0.013875
146000 -- [-595.077] (-619.465) (-596.856) (-620.472) * (-596.517) (-632.306) [-595.928] (-621.695) -- 0:06:14
147000 -- [-596.084] (-632.312) (-606.526) (-621.358) * (-597.252) (-619.677) [-592.709] (-620.006) -- 0:06:17
148000 -- [-597.774] (-625.789) (-601.399) (-633.112) * [-598.257] (-635.324) (-599.672) (-622.670) -- 0:06:14
149000 -- [-604.603] (-625.600) (-597.209) (-622.982) * [-586.061] (-632.239) (-594.922) (-622.447) -- 0:06:11
150000 -- [-600.394] (-627.853) (-596.958) (-627.510) * (-597.487) (-629.856) [-601.459] (-623.431) -- 0:06:14
Average standard deviation of split frequencies: 0.014688
151000 -- (-611.957) (-625.863) [-601.553] (-625.457) * [-598.291] (-629.173) (-597.374) (-628.886) -- 0:06:11
152000 -- (-604.082) (-628.414) [-592.694] (-642.291) * [-603.246] (-629.415) (-598.854) (-621.263) -- 0:06:13
153000 -- (-591.303) (-627.557) [-597.673] (-628.746) * (-604.450) (-634.284) [-600.694] (-626.825) -- 0:06:10
154000 -- (-605.041) (-626.743) [-595.416] (-631.376) * [-596.168] (-630.069) (-600.071) (-622.706) -- 0:06:13
155000 -- [-607.015] (-622.919) (-603.396) (-627.574) * [-597.951] (-624.970) (-598.409) (-629.645) -- 0:06:10
Average standard deviation of split frequencies: 0.014689
156000 -- [-603.106] (-629.741) (-610.435) (-639.180) * [-599.386] (-623.017) (-595.108) (-625.171) -- 0:06:07
157000 -- [-600.782] (-630.609) (-600.882) (-635.521) * [-595.543] (-627.537) (-601.623) (-626.104) -- 0:06:10
158000 -- (-606.981) (-625.873) [-595.411] (-640.029) * [-594.906] (-625.355) (-601.227) (-627.610) -- 0:06:07
159000 -- [-601.870] (-627.487) (-593.970) (-620.710) * [-591.427] (-621.554) (-591.460) (-624.652) -- 0:06:10
160000 -- [-592.964] (-637.725) (-608.206) (-626.751) * [-592.023] (-622.638) (-596.767) (-634.696) -- 0:06:07
Average standard deviation of split frequencies: 0.014838
161000 -- [-599.053] (-631.386) (-601.201) (-622.713) * [-592.812] (-622.461) (-597.099) (-621.666) -- 0:06:09
162000 -- [-594.948] (-627.875) (-593.943) (-632.431) * (-596.701) (-628.605) [-604.648] (-620.980) -- 0:06:07
163000 -- [-590.881] (-624.855) (-596.240) (-626.018) * [-592.333] (-620.595) (-599.204) (-630.166) -- 0:06:09
164000 -- (-599.951) (-639.915) [-596.312] (-621.861) * [-590.443] (-620.360) (-613.040) (-623.369) -- 0:06:07
165000 -- [-599.787] (-636.080) (-597.444) (-632.917) * [-597.549] (-626.073) (-599.177) (-623.596) -- 0:06:04
Average standard deviation of split frequencies: 0.015254
166000 -- [-595.360] (-629.661) (-595.181) (-631.987) * [-591.207] (-622.963) (-598.771) (-632.138) -- 0:06:06
167000 -- [-594.911] (-624.997) (-600.421) (-623.407) * [-596.209] (-627.207) (-602.884) (-625.334) -- 0:06:04
168000 -- (-594.887) (-631.936) [-599.044] (-622.774) * [-595.215] (-624.404) (-596.706) (-622.389) -- 0:06:06
169000 -- [-591.067] (-632.549) (-599.382) (-639.192) * [-598.874] (-644.345) (-596.468) (-622.594) -- 0:06:03
170000 -- (-595.209) (-635.666) [-598.281] (-621.503) * [-592.458] (-635.742) (-603.490) (-621.279) -- 0:06:06
Average standard deviation of split frequencies: 0.013732
171000 -- (-594.882) (-633.158) [-596.722] (-628.355) * [-590.286] (-628.317) (-601.188) (-629.842) -- 0:06:03
172000 -- (-612.277) (-628.304) [-597.673] (-627.485) * [-591.611] (-637.985) (-605.623) (-627.637) -- 0:06:01
173000 -- (-595.908) (-626.986) [-596.564] (-627.997) * [-588.671] (-632.814) (-599.394) (-625.491) -- 0:06:03
174000 -- (-605.604) (-629.561) [-597.958] (-631.236) * [-591.872] (-629.391) (-600.380) (-629.157) -- 0:06:00
175000 -- (-602.324) (-628.519) [-600.621] (-635.917) * [-602.124] (-623.463) (-602.195) (-624.529) -- 0:06:03
Average standard deviation of split frequencies: 0.012648
176000 -- (-602.619) (-634.330) [-596.495] (-630.444) * [-590.976] (-630.810) (-602.290) (-626.102) -- 0:06:00
177000 -- (-606.905) (-622.566) [-597.894] (-629.944) * [-591.420] (-624.563) (-605.118) (-624.730) -- 0:06:02
178000 -- (-597.209) (-622.368) [-602.053] (-632.615) * [-593.106] (-637.904) (-597.082) (-629.050) -- 0:06:00
179000 -- (-597.206) (-632.968) [-603.530] (-634.591) * [-592.366] (-637.237) (-599.695) (-621.723) -- 0:05:57
180000 -- (-596.323) (-629.872) [-602.660] (-629.942) * [-593.317] (-639.848) (-602.876) (-624.393) -- 0:05:59
Average standard deviation of split frequencies: 0.013121
181000 -- [-597.581] (-622.846) (-605.358) (-627.485) * [-592.627] (-627.702) (-599.966) (-624.517) -- 0:05:57
182000 -- [-590.831] (-625.956) (-610.272) (-630.952) * [-594.231] (-636.102) (-597.926) (-628.758) -- 0:05:59
183000 -- [-592.717] (-623.631) (-597.996) (-630.371) * [-592.147] (-628.191) (-602.261) (-619.790) -- 0:05:57
184000 -- (-593.712) (-631.562) [-604.782] (-631.710) * [-599.842] (-632.866) (-596.073) (-623.335) -- 0:05:59
185000 -- (-600.969) (-623.601) [-592.511] (-639.733) * [-592.548] (-640.415) (-601.159) (-623.662) -- 0:05:56
Average standard deviation of split frequencies: 0.012813
186000 -- (-600.445) (-626.771) [-600.068] (-625.153) * [-592.104] (-633.702) (-594.349) (-642.860) -- 0:05:54
187000 -- (-597.267) (-619.827) [-602.864] (-623.524) * [-592.161] (-633.231) (-599.732) (-626.659) -- 0:05:56
188000 -- [-594.360] (-627.873) (-604.192) (-633.593) * [-594.202] (-623.243) (-596.616) (-625.552) -- 0:05:54
189000 -- (-596.088) (-624.939) [-605.888] (-623.618) * [-597.858] (-624.612) (-596.510) (-630.303) -- 0:05:56
190000 -- (-608.177) (-632.037) [-594.043] (-630.937) * [-592.181] (-631.032) (-601.276) (-625.825) -- 0:05:53
Average standard deviation of split frequencies: 0.012645
191000 -- [-591.476] (-629.460) (-605.187) (-630.106) * [-589.410] (-629.445) (-597.735) (-622.062) -- 0:05:55
192000 -- (-605.865) (-623.482) [-591.754] (-634.746) * [-594.732] (-628.234) (-599.679) (-619.491) -- 0:05:53
193000 -- (-607.506) (-625.739) [-599.275] (-622.774) * [-597.288] (-622.127) (-596.139) (-627.198) -- 0:05:55
194000 -- (-606.177) (-626.409) [-593.910] (-621.165) * (-599.621) (-625.210) [-598.473] (-626.663) -- 0:05:53
195000 -- (-602.679) (-627.570) [-592.320] (-626.045) * [-593.708] (-633.273) (-594.065) (-626.539) -- 0:05:50
Average standard deviation of split frequencies: 0.013469
196000 -- (-591.530) (-626.103) [-592.687] (-625.061) * (-603.137) (-631.077) [-592.655] (-628.374) -- 0:05:52
197000 -- (-596.962) (-629.412) [-591.680] (-626.822) * (-601.756) (-624.929) [-597.004] (-623.121) -- 0:05:50
198000 -- (-596.690) (-623.057) [-599.114] (-632.510) * (-609.669) (-641.173) [-601.591] (-622.763) -- 0:05:52
199000 -- (-597.620) (-622.961) [-599.285] (-627.313) * (-613.012) (-633.478) [-596.417] (-620.875) -- 0:05:50
200000 -- (-595.294) (-626.089) [-601.852] (-633.606) * (-607.404) (-620.055) [-596.025] (-623.099) -- 0:05:52
Average standard deviation of split frequencies: 0.013088
201000 -- [-598.978] (-622.586) (-605.190) (-631.502) * (-593.808) (-624.120) [-597.557] (-630.018) -- 0:05:49
202000 -- [-595.940] (-622.690) (-613.289) (-629.182) * (-601.613) (-630.388) [-602.014] (-623.397) -- 0:05:47
203000 -- [-591.089] (-626.851) (-603.066) (-622.297) * [-600.904] (-627.929) (-595.613) (-628.409) -- 0:05:49
204000 -- [-599.031] (-632.289) (-591.510) (-626.243) * [-590.919] (-627.516) (-593.224) (-630.806) -- 0:05:47
205000 -- [-591.993] (-626.875) (-601.313) (-624.258) * [-592.411] (-632.683) (-598.427) (-618.842) -- 0:05:49
Average standard deviation of split frequencies: 0.012619
206000 -- [-593.409] (-628.333) (-609.212) (-622.748) * (-596.414) (-632.083) [-592.925] (-624.400) -- 0:05:46
207000 -- (-594.256) (-630.127) [-589.437] (-630.831) * [-593.661] (-627.603) (-597.814) (-625.459) -- 0:05:48
208000 -- (-597.509) (-626.021) [-595.887] (-620.420) * [-594.201] (-642.837) (-590.686) (-625.096) -- 0:05:46
209000 -- [-597.789] (-627.897) (-608.244) (-618.277) * [-598.173] (-631.482) (-593.385) (-622.707) -- 0:05:44
210000 -- [-595.027] (-622.514) (-603.809) (-619.388) * (-599.470) (-632.259) [-597.223] (-618.208) -- 0:05:46
Average standard deviation of split frequencies: 0.012884
211000 -- [-601.807] (-622.629) (-594.855) (-622.778) * (-608.090) (-633.321) [-593.620] (-616.106) -- 0:05:44
212000 -- [-600.126] (-623.427) (-591.838) (-626.736) * (-599.304) (-635.282) [-589.507] (-621.200) -- 0:05:45
213000 -- (-595.746) (-627.593) [-600.167] (-637.644) * [-601.603] (-632.970) (-597.298) (-619.938) -- 0:05:43
214000 -- [-592.188] (-621.700) (-595.306) (-622.852) * (-597.840) (-629.529) [-595.129] (-618.701) -- 0:05:45
215000 -- [-594.117] (-628.414) (-598.552) (-634.851) * (-604.851) (-632.190) [-596.043] (-628.201) -- 0:05:43
Average standard deviation of split frequencies: 0.012896
216000 -- [-599.686] (-624.221) (-593.038) (-623.045) * (-598.173) (-628.153) [-595.703] (-620.261) -- 0:05:41
217000 -- (-601.814) (-631.347) [-591.237] (-635.410) * [-600.550] (-632.159) (-600.151) (-626.637) -- 0:05:42
218000 -- (-588.992) (-629.163) [-592.517] (-618.018) * (-605.337) (-629.694) [-596.557] (-622.160) -- 0:05:40
219000 -- (-598.711) (-624.574) [-600.954] (-618.080) * (-590.054) (-627.873) [-595.940] (-627.236) -- 0:05:42
220000 -- (-596.311) (-631.680) [-589.643] (-624.074) * [-593.798] (-624.856) (-593.631) (-618.433) -- 0:05:40
Average standard deviation of split frequencies: 0.013659
221000 -- (-594.723) (-621.906) [-593.442] (-618.396) * (-595.445) (-628.931) [-595.658] (-620.656) -- 0:05:41
222000 -- [-594.742] (-627.223) (-599.974) (-628.696) * [-595.999] (-629.484) (-598.362) (-626.171) -- 0:05:39
223000 -- (-605.836) (-629.164) [-592.757] (-632.935) * (-603.234) (-636.340) [-594.575] (-621.586) -- 0:05:41
224000 -- (-608.484) (-627.662) [-593.291] (-631.268) * (-595.706) (-631.737) [-593.370] (-630.827) -- 0:05:39
225000 -- [-605.776] (-634.909) (-600.354) (-625.195) * (-599.388) (-624.748) [-592.210] (-622.722) -- 0:05:37
Average standard deviation of split frequencies: 0.013590
226000 -- [-591.180] (-633.828) (-592.901) (-628.071) * (-599.259) (-620.134) [-591.925] (-624.225) -- 0:05:39
227000 -- (-595.599) (-634.708) [-595.849] (-635.821) * (-607.248) (-622.961) [-598.881] (-631.378) -- 0:05:37
228000 -- [-600.314] (-622.347) (-598.615) (-626.810) * (-607.509) (-625.857) [-593.565] (-628.311) -- 0:05:38
229000 -- (-600.843) (-622.529) [-594.943] (-630.634) * (-599.657) (-631.094) [-601.086] (-627.945) -- 0:05:36
230000 -- (-601.713) (-631.167) [-594.179] (-629.415) * (-607.419) (-630.614) [-595.727] (-621.056) -- 0:05:38
Average standard deviation of split frequencies: 0.012773
231000 -- (-601.103) (-629.434) [-598.118] (-629.047) * [-587.117] (-629.575) (-596.124) (-622.004) -- 0:05:36
232000 -- [-599.958] (-637.160) (-593.061) (-638.122) * (-599.614) (-636.239) [-595.010] (-628.482) -- 0:05:34
233000 -- (-600.942) (-632.669) [-596.409] (-624.305) * [-601.560] (-646.791) (-595.027) (-629.116) -- 0:05:35
234000 -- [-595.656] (-618.504) (-599.154) (-633.447) * [-603.429] (-640.034) (-593.861) (-624.070) -- 0:05:33
235000 -- [-605.062] (-618.563) (-597.573) (-638.442) * [-601.856] (-624.243) (-600.767) (-631.666) -- 0:05:35
Average standard deviation of split frequencies: 0.013924
236000 -- [-595.440] (-628.047) (-608.865) (-620.384) * [-595.203] (-624.679) (-603.970) (-622.864) -- 0:05:33
237000 -- [-594.652] (-623.518) (-616.198) (-620.084) * [-593.791] (-627.793) (-597.740) (-631.686) -- 0:05:34
238000 -- [-601.812] (-634.531) (-594.745) (-630.613) * [-597.597] (-627.141) (-594.719) (-625.868) -- 0:05:32
239000 -- [-600.038] (-630.961) (-588.257) (-627.329) * (-593.623) (-624.436) [-595.349] (-635.338) -- 0:05:34
240000 -- [-600.576] (-624.250) (-592.001) (-635.962) * [-601.464] (-630.025) (-601.970) (-617.241) -- 0:05:32
Average standard deviation of split frequencies: 0.012984
241000 -- (-606.095) (-624.135) [-594.655] (-624.408) * (-600.779) (-629.115) [-592.237] (-624.972) -- 0:05:30
242000 -- [-595.564] (-621.534) (-600.707) (-632.261) * [-593.202] (-628.475) (-597.410) (-624.055) -- 0:05:32
243000 -- [-595.355] (-624.569) (-604.442) (-632.173) * [-595.481] (-628.981) (-593.029) (-629.084) -- 0:05:30
244000 -- [-588.984] (-624.875) (-595.926) (-639.856) * [-596.918] (-621.890) (-596.232) (-650.724) -- 0:05:31
245000 -- (-606.058) (-623.487) [-589.686] (-625.773) * (-595.975) (-631.409) [-591.365] (-643.004) -- 0:05:29
Average standard deviation of split frequencies: 0.013742
246000 -- [-595.903] (-625.485) (-597.445) (-635.195) * (-594.404) (-624.273) [-599.381] (-627.914) -- 0:05:31
247000 -- (-596.351) (-624.384) [-595.748] (-632.969) * [-595.253] (-618.172) (-601.466) (-625.597) -- 0:05:29
248000 -- (-609.396) (-629.306) [-593.609] (-627.615) * (-608.015) (-626.545) [-596.299] (-642.407) -- 0:05:27
249000 -- (-597.001) (-627.944) [-595.528] (-633.519) * (-610.333) (-629.754) [-598.601] (-634.353) -- 0:05:28
250000 -- (-602.855) (-631.634) [-595.566] (-632.731) * [-596.849] (-627.450) (-603.487) (-620.618) -- 0:05:27
Average standard deviation of split frequencies: 0.013330
251000 -- (-595.876) (-635.611) [-595.694] (-622.890) * [-593.719] (-624.065) (-602.876) (-635.195) -- 0:05:28
252000 -- [-599.386] (-628.681) (-604.470) (-623.146) * [-590.960] (-632.779) (-593.735) (-628.831) -- 0:05:26
253000 -- (-594.665) (-641.451) [-601.695] (-620.001) * (-598.781) (-627.980) [-600.644] (-633.089) -- 0:05:27
254000 -- [-612.343] (-619.014) (-599.230) (-630.647) * [-592.162] (-622.197) (-597.513) (-639.532) -- 0:05:26
255000 -- (-597.195) (-630.153) [-592.472] (-625.425) * (-586.597) (-624.881) [-592.757] (-631.813) -- 0:05:27
Average standard deviation of split frequencies: 0.014205
256000 -- (-600.351) (-627.466) [-594.178] (-625.365) * (-598.499) (-627.099) [-596.697] (-634.037) -- 0:05:25
257000 -- [-592.000] (-633.511) (-599.852) (-626.265) * [-587.548] (-626.580) (-608.347) (-631.081) -- 0:05:23
258000 -- [-592.628] (-638.592) (-605.061) (-630.680) * [-590.253] (-629.688) (-603.714) (-625.464) -- 0:05:24
259000 -- (-603.338) (-635.028) [-599.485] (-627.779) * [-595.587] (-623.681) (-613.778) (-630.559) -- 0:05:23
260000 -- (-600.021) (-630.371) [-594.273] (-635.957) * [-600.499] (-627.168) (-605.126) (-621.286) -- 0:05:24
Average standard deviation of split frequencies: 0.014680
261000 -- (-598.950) (-626.712) [-592.009] (-624.234) * [-601.048] (-633.094) (-603.108) (-631.422) -- 0:05:22
262000 -- [-597.077] (-629.092) (-603.780) (-621.418) * [-596.470] (-624.648) (-599.844) (-629.928) -- 0:05:23
263000 -- [-595.666] (-626.280) (-591.369) (-632.803) * [-591.968] (-620.787) (-598.907) (-628.027) -- 0:05:22
264000 -- (-595.799) (-636.465) [-597.245] (-626.586) * [-598.441] (-622.473) (-593.556) (-624.118) -- 0:05:20
265000 -- (-599.871) (-621.111) [-593.582] (-615.611) * (-603.499) (-618.924) [-586.955] (-625.394) -- 0:05:21
Average standard deviation of split frequencies: 0.015241
266000 -- (-600.238) (-630.282) [-600.526] (-620.005) * [-599.562] (-625.303) (-595.491) (-620.375) -- 0:05:20
267000 -- (-591.704) (-621.680) [-590.482] (-626.187) * (-600.967) (-643.338) [-593.751] (-621.102) -- 0:05:21
268000 -- (-594.214) (-625.159) [-591.462] (-623.691) * [-599.416] (-631.881) (-593.418) (-622.229) -- 0:05:19
269000 -- (-593.956) (-624.810) [-588.435] (-622.164) * [-602.875] (-636.703) (-598.063) (-625.935) -- 0:05:20
270000 -- [-592.720] (-625.237) (-595.590) (-626.776) * [-597.151] (-634.041) (-589.827) (-621.357) -- 0:05:19
Average standard deviation of split frequencies: 0.013828
271000 -- (-604.642) (-629.892) [-600.642] (-629.621) * (-598.059) (-627.213) [-593.337] (-628.683) -- 0:05:20
272000 -- [-590.808] (-630.513) (-605.198) (-629.697) * [-595.388] (-631.790) (-596.196) (-623.622) -- 0:05:18
273000 -- [-595.345] (-619.052) (-606.191) (-629.775) * (-603.474) (-635.269) [-593.982] (-615.938) -- 0:05:16
274000 -- [-592.480] (-621.794) (-600.900) (-623.304) * (-594.347) (-639.795) [-589.408] (-618.126) -- 0:05:17
275000 -- [-599.971] (-631.037) (-600.180) (-623.697) * [-598.232] (-627.945) (-595.566) (-622.335) -- 0:05:16
Average standard deviation of split frequencies: 0.013095
276000 -- (-600.207) (-623.534) [-604.786] (-626.884) * [-594.033] (-640.315) (-593.283) (-622.122) -- 0:05:17
277000 -- [-592.655] (-626.870) (-599.773) (-624.184) * [-596.327] (-630.967) (-603.196) (-619.271) -- 0:05:15
278000 -- [-598.953] (-630.898) (-594.920) (-628.674) * (-600.809) (-628.933) [-596.717] (-626.584) -- 0:05:16
279000 -- (-595.833) (-636.419) [-590.821] (-625.784) * [-592.363] (-640.139) (-595.842) (-624.890) -- 0:05:15
280000 -- (-591.500) (-629.869) [-597.345] (-624.890) * [-596.565] (-627.551) (-594.027) (-618.887) -- 0:05:13
Average standard deviation of split frequencies: 0.013488
281000 -- [-592.526] (-633.928) (-600.070) (-622.937) * [-596.241] (-631.807) (-604.190) (-619.217) -- 0:05:14
282000 -- [-592.905] (-624.853) (-598.776) (-626.131) * [-606.204] (-631.629) (-604.790) (-622.840) -- 0:05:13
283000 -- [-593.708] (-626.937) (-608.141) (-631.644) * (-593.480) (-622.853) [-595.860] (-630.492) -- 0:05:14
284000 -- [-597.113] (-630.518) (-598.526) (-627.538) * [-592.867] (-642.038) (-600.155) (-630.222) -- 0:05:12
285000 -- [-599.952] (-629.434) (-599.840) (-636.702) * [-593.594] (-624.742) (-604.991) (-631.686) -- 0:05:13
Average standard deviation of split frequencies: 0.014253
286000 -- [-592.171] (-624.101) (-589.126) (-628.118) * [-600.930] (-633.246) (-596.943) (-625.797) -- 0:05:12
287000 -- (-590.696) (-621.236) [-596.115] (-631.080) * [-599.148] (-625.201) (-607.773) (-628.580) -- 0:05:10
288000 -- [-590.909] (-619.030) (-590.132) (-624.962) * [-596.948] (-625.908) (-600.128) (-623.305) -- 0:05:11
289000 -- [-595.402] (-629.209) (-608.706) (-639.054) * [-596.854] (-627.634) (-594.801) (-628.323) -- 0:05:09
290000 -- (-601.200) (-638.351) [-605.614] (-634.507) * [-591.438] (-633.068) (-595.380) (-629.132) -- 0:05:10
Average standard deviation of split frequencies: 0.013308
291000 -- [-593.017] (-635.389) (-600.085) (-628.222) * [-592.682] (-628.163) (-593.514) (-623.873) -- 0:05:09
292000 -- (-607.765) (-632.046) [-596.002] (-635.998) * [-591.882] (-641.161) (-597.261) (-619.480) -- 0:05:10
293000 -- (-599.335) (-625.915) [-594.358] (-622.273) * [-593.496] (-622.690) (-609.834) (-621.366) -- 0:05:08
294000 -- [-590.148] (-627.778) (-599.567) (-618.749) * [-598.217] (-633.979) (-595.326) (-624.191) -- 0:05:07
295000 -- [-593.311] (-620.645) (-591.623) (-622.736) * [-599.281] (-625.298) (-603.315) (-617.504) -- 0:05:08
Average standard deviation of split frequencies: 0.012193
296000 -- (-600.428) (-617.723) [-594.203] (-621.087) * [-602.308] (-625.547) (-601.025) (-622.283) -- 0:05:06
297000 -- [-594.267] (-626.892) (-593.475) (-636.509) * (-597.870) (-635.488) [-601.877] (-634.664) -- 0:05:07
298000 -- [-591.264] (-632.830) (-618.958) (-623.749) * (-595.826) (-633.307) [-595.333] (-633.183) -- 0:05:06
299000 -- [-599.162] (-624.749) (-611.860) (-621.715) * [-602.612] (-626.402) (-601.133) (-624.117) -- 0:05:07
300000 -- [-597.553] (-623.601) (-602.666) (-632.605) * (-599.989) (-628.274) [-592.686] (-625.053) -- 0:05:05
Average standard deviation of split frequencies: 0.011830
301000 -- (-610.264) (-634.868) [-599.447] (-626.215) * (-603.956) (-624.809) [-600.627] (-627.496) -- 0:05:06
302000 -- [-603.367] (-634.391) (-598.105) (-625.389) * (-600.221) (-632.365) [-597.777] (-626.370) -- 0:05:05
303000 -- (-603.963) (-630.174) [-598.998] (-636.231) * (-603.022) (-623.802) [-597.306] (-632.528) -- 0:05:03
304000 -- [-597.082] (-619.732) (-600.765) (-626.634) * (-611.877) (-625.650) [-593.895] (-624.919) -- 0:05:04
305000 -- (-609.291) (-630.027) [-601.332] (-631.720) * [-603.135] (-628.188) (-593.678) (-629.369) -- 0:05:03
Average standard deviation of split frequencies: 0.011599
306000 -- (-605.882) (-627.874) [-598.661] (-623.268) * (-602.924) (-640.439) [-596.329] (-634.795) -- 0:05:03
307000 -- [-603.476] (-626.727) (-605.206) (-634.437) * (-595.866) (-619.141) [-594.481] (-621.968) -- 0:05:02
308000 -- (-592.571) (-626.989) [-599.946] (-626.478) * [-593.142] (-634.580) (-598.703) (-627.408) -- 0:05:03
309000 -- (-593.486) (-623.886) [-600.506] (-623.614) * [-589.396] (-627.180) (-593.577) (-629.210) -- 0:05:01
310000 -- (-600.546) (-625.674) [-605.779] (-627.878) * [-591.825] (-618.863) (-592.114) (-625.502) -- 0:05:02
Average standard deviation of split frequencies: 0.011425
311000 -- (-602.245) (-628.096) [-605.349] (-624.806) * [-595.043] (-625.347) (-604.774) (-630.627) -- 0:05:01
312000 -- [-592.241] (-620.825) (-599.707) (-622.492) * [-593.160] (-625.663) (-592.494) (-632.110) -- 0:04:59
313000 -- [-596.288] (-626.027) (-601.134) (-623.870) * [-600.287] (-624.886) (-596.178) (-641.684) -- 0:05:00
314000 -- [-600.413] (-632.565) (-598.072) (-622.950) * [-594.495] (-628.145) (-615.527) (-627.107) -- 0:04:59
315000 -- [-600.905] (-630.902) (-604.062) (-621.632) * [-598.784] (-634.098) (-601.516) (-632.795) -- 0:05:00
Average standard deviation of split frequencies: 0.010881
316000 -- [-592.721] (-642.112) (-601.787) (-620.659) * (-598.065) (-622.800) [-592.331] (-633.213) -- 0:04:58
317000 -- [-589.456] (-633.542) (-595.550) (-622.156) * (-601.715) (-630.539) [-589.620] (-623.241) -- 0:04:59
318000 -- [-589.099] (-635.069) (-600.973) (-621.864) * (-603.006) (-628.588) [-593.052] (-625.547) -- 0:04:58
319000 -- [-595.485] (-633.151) (-613.245) (-618.910) * (-598.900) (-627.620) [-598.324] (-624.688) -- 0:04:56
320000 -- [-600.493] (-632.864) (-596.616) (-622.944) * [-600.013] (-631.322) (-595.999) (-628.793) -- 0:04:57
Average standard deviation of split frequencies: 0.010247
321000 -- [-592.359] (-640.228) (-594.029) (-626.286) * [-591.361] (-632.562) (-591.966) (-623.965) -- 0:04:56
322000 -- [-596.631] (-640.820) (-594.678) (-629.204) * (-596.014) (-631.097) [-585.647] (-635.164) -- 0:04:56
323000 -- [-597.898] (-622.443) (-597.483) (-637.145) * [-588.842] (-625.896) (-605.099) (-619.221) -- 0:04:55
324000 -- [-596.169] (-629.902) (-607.978) (-638.712) * (-592.655) (-617.977) [-599.235] (-630.564) -- 0:04:56
325000 -- [-596.505] (-627.594) (-599.274) (-623.627) * (-592.188) (-624.448) [-592.044] (-633.409) -- 0:04:54
Average standard deviation of split frequencies: 0.011155
326000 -- (-598.093) (-623.129) [-600.748] (-623.980) * [-593.973] (-625.495) (-609.194) (-626.631) -- 0:04:55
327000 -- (-604.680) (-625.021) [-588.918] (-626.765) * [-594.756] (-622.423) (-591.401) (-623.935) -- 0:04:54
328000 -- (-601.645) (-631.954) [-598.826] (-622.802) * [-590.596] (-622.573) (-591.441) (-620.566) -- 0:04:52
329000 -- [-600.993] (-632.518) (-605.569) (-622.022) * (-591.227) (-631.869) [-593.347] (-630.385) -- 0:04:53
330000 -- (-599.251) (-631.005) [-596.839] (-628.721) * (-597.588) (-620.105) [-600.363] (-620.264) -- 0:04:52
Average standard deviation of split frequencies: 0.011609
331000 -- [-599.057] (-637.804) (-625.107) (-630.280) * (-599.837) (-623.588) [-601.025] (-637.287) -- 0:04:53
332000 -- [-595.226] (-632.800) (-609.066) (-623.114) * (-596.268) (-627.652) [-593.890] (-624.061) -- 0:04:51
333000 -- [-592.220] (-625.691) (-604.169) (-629.428) * (-597.444) (-625.490) [-592.694] (-630.967) -- 0:04:52
334000 -- [-595.402] (-639.727) (-600.939) (-631.663) * (-602.735) (-623.511) [-598.009] (-626.971) -- 0:04:51
335000 -- [-588.664] (-632.872) (-596.353) (-621.292) * (-593.547) (-622.118) [-597.230] (-618.381) -- 0:04:49
Average standard deviation of split frequencies: 0.011472
336000 -- [-589.486] (-622.333) (-601.422) (-626.566) * (-596.249) (-619.875) [-593.192] (-621.110) -- 0:04:50
337000 -- [-599.806] (-628.986) (-601.314) (-627.198) * (-599.318) (-633.587) [-599.539] (-622.927) -- 0:04:49
338000 -- (-603.237) (-625.956) [-600.783] (-620.760) * (-606.525) (-620.683) [-589.985] (-624.825) -- 0:04:49
339000 -- [-597.537] (-620.060) (-603.727) (-620.000) * (-596.097) (-629.394) [-591.210] (-624.311) -- 0:04:48
340000 -- [-593.952] (-619.204) (-603.641) (-628.724) * (-595.960) (-633.440) [-600.597] (-627.914) -- 0:04:49
Average standard deviation of split frequencies: 0.011396
341000 -- (-598.611) (-623.645) [-599.214] (-623.364) * [-597.123] (-620.518) (-603.222) (-627.528) -- 0:04:47
342000 -- [-590.792] (-623.557) (-607.254) (-633.205) * (-602.680) (-639.835) [-597.273] (-629.893) -- 0:04:46
343000 -- [-588.846] (-630.453) (-599.819) (-628.256) * [-590.868] (-625.421) (-596.714) (-637.554) -- 0:04:47
344000 -- [-594.896] (-622.264) (-597.974) (-618.654) * [-596.350] (-617.657) (-601.881) (-633.655) -- 0:04:46
345000 -- [-594.986] (-624.024) (-610.225) (-623.264) * [-593.725] (-629.216) (-595.608) (-625.109) -- 0:04:46
Average standard deviation of split frequencies: 0.011140
346000 -- [-592.987] (-618.616) (-600.728) (-628.556) * (-601.867) (-630.319) [-600.327] (-622.556) -- 0:04:45
347000 -- (-597.911) (-629.599) [-592.186] (-622.257) * [-589.812] (-624.708) (-599.721) (-624.218) -- 0:04:46
348000 -- (-602.316) (-630.063) [-592.573] (-617.729) * [-609.933] (-621.044) (-594.617) (-631.571) -- 0:04:44
349000 -- [-603.353] (-624.532) (-593.011) (-617.643) * [-592.583] (-628.035) (-599.811) (-627.287) -- 0:04:45
350000 -- (-606.250) (-630.263) [-595.070] (-627.209) * [-595.923] (-630.373) (-598.703) (-625.451) -- 0:04:44
Average standard deviation of split frequencies: 0.011229
351000 -- [-597.456] (-635.495) (-594.383) (-623.428) * [-593.828] (-624.049) (-598.788) (-623.869) -- 0:04:42
352000 -- (-598.270) (-635.269) [-593.838] (-631.661) * [-598.263] (-626.420) (-595.456) (-627.198) -- 0:04:43
353000 -- [-599.006] (-631.293) (-604.931) (-621.298) * [-601.868] (-625.035) (-597.786) (-634.563) -- 0:04:42
354000 -- [-604.520] (-628.539) (-599.942) (-630.768) * (-596.838) (-627.214) [-608.909] (-621.397) -- 0:04:42
355000 -- [-592.868] (-629.689) (-591.289) (-629.234) * [-600.058] (-627.237) (-596.041) (-624.342) -- 0:04:41
Average standard deviation of split frequencies: 0.010438
356000 -- (-595.764) (-627.016) [-599.759] (-621.594) * [-598.370] (-624.160) (-596.537) (-627.183) -- 0:04:42
357000 -- [-599.891] (-619.531) (-597.914) (-621.944) * [-595.621] (-620.601) (-594.942) (-628.786) -- 0:04:40
358000 -- [-593.605] (-624.170) (-608.374) (-625.373) * [-597.035] (-637.949) (-604.195) (-630.671) -- 0:04:39
359000 -- (-593.385) (-629.516) [-600.858] (-627.322) * [-595.137] (-639.141) (-603.104) (-627.197) -- 0:04:40
360000 -- [-594.959] (-627.386) (-598.553) (-625.496) * [-602.947] (-634.745) (-599.750) (-627.877) -- 0:04:39
Average standard deviation of split frequencies: 0.010303
361000 -- [-595.519] (-636.749) (-596.720) (-634.160) * (-603.633) (-627.363) [-600.874] (-625.875) -- 0:04:39
362000 -- (-601.409) (-624.739) [-587.211] (-622.223) * [-591.876] (-623.538) (-599.738) (-622.403) -- 0:04:38
363000 -- [-591.940] (-627.499) (-599.413) (-620.252) * [-589.689] (-625.504) (-593.978) (-628.646) -- 0:04:39
364000 -- (-592.805) (-627.808) [-594.920] (-632.125) * (-592.210) (-622.558) [-594.081] (-631.847) -- 0:04:37
365000 -- (-605.946) (-625.038) [-592.402] (-627.141) * [-595.709] (-627.547) (-594.281) (-625.908) -- 0:04:36
Average standard deviation of split frequencies: 0.010115
366000 -- [-596.851] (-624.003) (-599.115) (-618.258) * (-590.424) (-629.003) [-592.152] (-622.110) -- 0:04:37
367000 -- (-600.246) (-625.204) [-593.167] (-624.801) * (-596.777) (-623.748) [-598.119] (-621.168) -- 0:04:35
368000 -- (-599.135) (-628.034) [-593.294] (-621.280) * (-607.547) (-628.059) [-591.555] (-624.502) -- 0:04:36
369000 -- [-594.683] (-621.950) (-596.354) (-628.271) * (-604.345) (-623.974) [-596.870] (-627.005) -- 0:04:35
370000 -- (-596.506) (-629.786) [-596.863] (-627.329) * (-602.628) (-623.489) [-589.349] (-624.046) -- 0:04:35
Average standard deviation of split frequencies: 0.010025
371000 -- [-600.737] (-623.621) (-602.527) (-621.734) * (-606.819) (-623.414) [-591.512] (-627.934) -- 0:04:34
372000 -- (-597.859) (-622.368) [-589.208] (-622.313) * (-609.189) (-625.173) [-591.517] (-628.986) -- 0:04:35
373000 -- [-595.987] (-631.299) (-591.912) (-628.330) * (-599.061) (-625.760) [-590.054] (-636.925) -- 0:04:33
374000 -- [-596.356] (-626.930) (-602.035) (-622.801) * (-593.143) (-636.296) [-589.488] (-626.646) -- 0:04:32
375000 -- [-596.110] (-631.180) (-601.664) (-624.334) * (-603.393) (-631.295) [-591.707] (-623.608) -- 0:04:33
Average standard deviation of split frequencies: 0.009422
376000 -- [-602.821] (-623.368) (-615.964) (-626.529) * (-602.521) (-632.526) [-599.271] (-621.571) -- 0:04:32
377000 -- [-592.217] (-632.627) (-599.993) (-625.870) * (-598.127) (-639.098) [-598.183] (-630.122) -- 0:04:32
378000 -- [-595.167] (-621.022) (-601.434) (-626.308) * (-596.993) (-645.602) [-595.977] (-619.501) -- 0:04:31
379000 -- [-594.196] (-625.301) (-600.314) (-631.512) * (-607.761) (-622.525) [-598.270] (-625.942) -- 0:04:31
380000 -- [-592.378] (-626.811) (-599.410) (-623.418) * (-599.941) (-623.633) [-593.163] (-629.298) -- 0:04:30
Average standard deviation of split frequencies: 0.010235
381000 -- [-591.595] (-623.230) (-599.830) (-627.926) * (-616.442) (-629.517) [-593.807] (-632.716) -- 0:04:29
382000 -- (-594.016) (-621.062) [-596.852] (-625.315) * (-606.177) (-625.940) [-599.834] (-634.141) -- 0:04:30
383000 -- (-593.196) (-623.507) [-595.303] (-637.679) * [-599.970] (-633.768) (-601.730) (-622.682) -- 0:04:29
384000 -- [-595.644] (-621.378) (-610.797) (-629.937) * (-596.748) (-626.411) [-596.577] (-630.178) -- 0:04:29
385000 -- [-600.074] (-628.821) (-608.964) (-649.748) * (-592.286) (-621.994) [-597.759] (-629.174) -- 0:04:28
Average standard deviation of split frequencies: 0.009950
386000 -- [-593.908] (-628.148) (-607.534) (-628.369) * (-608.729) (-629.521) [-591.399] (-625.218) -- 0:04:28
387000 -- (-600.493) (-626.184) [-595.276] (-625.802) * (-605.966) (-633.192) [-591.913] (-619.456) -- 0:04:27
388000 -- [-597.856] (-636.204) (-603.015) (-618.753) * [-591.687] (-627.876) (-609.858) (-626.242) -- 0:04:26
389000 -- [-597.774] (-633.027) (-597.077) (-631.059) * [-589.584] (-626.421) (-603.599) (-628.402) -- 0:04:27
390000 -- (-600.738) (-636.928) [-601.063] (-627.004) * [-590.431] (-628.554) (-596.731) (-623.472) -- 0:04:25
Average standard deviation of split frequencies: 0.009726
391000 -- [-593.281] (-630.819) (-595.706) (-623.160) * [-596.838] (-620.741) (-599.482) (-625.169) -- 0:04:26
392000 -- [-589.060] (-628.490) (-599.229) (-619.529) * (-603.370) (-625.741) [-599.874] (-626.914) -- 0:04:25
393000 -- (-604.159) (-624.257) [-602.647] (-629.646) * (-606.596) (-641.930) [-600.808] (-619.709) -- 0:04:25
394000 -- (-600.813) (-630.032) [-593.124] (-626.559) * (-596.844) (-627.676) [-592.392] (-631.775) -- 0:04:24
395000 -- (-601.131) (-615.637) [-602.742] (-625.002) * [-595.402] (-639.639) (-604.246) (-623.340) -- 0:04:23
Average standard deviation of split frequencies: 0.009776
396000 -- [-594.360] (-621.299) (-605.368) (-624.030) * (-602.888) (-626.772) [-591.201] (-625.181) -- 0:04:23
397000 -- (-595.765) (-625.237) [-597.465] (-625.379) * (-607.861) (-623.262) [-599.663] (-626.731) -- 0:04:22
398000 -- (-592.295) (-629.987) [-592.812] (-620.463) * (-602.116) (-627.449) [-597.947] (-624.463) -- 0:04:23
399000 -- (-596.683) (-636.366) [-593.906] (-634.752) * (-599.964) (-623.047) [-590.446] (-632.343) -- 0:04:22
400000 -- (-603.419) (-631.114) [-595.124] (-621.085) * (-606.543) (-629.136) [-588.612] (-623.006) -- 0:04:22
Average standard deviation of split frequencies: 0.009163
401000 -- [-594.195] (-621.253) (-596.324) (-626.110) * (-597.276) (-626.362) [-592.968] (-626.091) -- 0:04:21
402000 -- [-593.185] (-618.067) (-603.100) (-636.471) * [-595.102] (-630.784) (-605.181) (-619.538) -- 0:04:20
403000 -- [-602.496] (-628.556) (-602.014) (-630.036) * [-591.545] (-634.473) (-611.269) (-625.847) -- 0:04:20
404000 -- [-598.160] (-620.772) (-612.821) (-625.067) * (-589.580) (-628.590) [-591.666] (-625.284) -- 0:04:19
405000 -- [-592.225] (-625.775) (-601.127) (-626.454) * [-593.674] (-631.664) (-598.261) (-619.776) -- 0:04:20
Average standard deviation of split frequencies: 0.009254
406000 -- [-593.046] (-625.005) (-602.453) (-631.799) * [-596.062] (-625.025) (-594.530) (-624.602) -- 0:04:18
407000 -- (-598.416) (-622.156) [-594.326] (-623.563) * [-589.454] (-629.751) (-595.480) (-625.472) -- 0:04:19
408000 -- (-598.358) (-629.069) [-601.391] (-627.396) * [-594.312] (-629.815) (-587.632) (-621.605) -- 0:04:18
409000 -- [-592.040] (-619.997) (-611.350) (-623.859) * [-590.380] (-633.391) (-607.747) (-624.389) -- 0:04:17
410000 -- [-595.710] (-626.804) (-599.025) (-626.002) * [-591.539] (-623.822) (-600.676) (-624.348) -- 0:04:17
Average standard deviation of split frequencies: 0.010088
411000 -- (-604.264) (-626.604) [-605.377] (-627.943) * [-589.301] (-626.632) (-606.385) (-624.364) -- 0:04:16
412000 -- (-605.156) (-617.897) [-602.509] (-628.189) * [-599.721] (-635.342) (-601.358) (-628.536) -- 0:04:16
413000 -- [-591.074] (-628.976) (-600.149) (-635.537) * [-596.192] (-626.921) (-595.015) (-633.188) -- 0:04:15
414000 -- (-603.795) (-626.834) [-601.576] (-622.819) * [-596.618] (-627.053) (-598.419) (-632.159) -- 0:04:16
415000 -- (-594.397) (-623.080) [-601.931] (-640.666) * [-590.037] (-627.107) (-597.321) (-624.427) -- 0:04:15
Average standard deviation of split frequencies: 0.009546
416000 -- (-605.165) (-625.506) [-598.831] (-623.873) * (-595.425) (-632.248) [-597.495] (-629.683) -- 0:04:14
417000 -- (-595.080) (-622.578) [-600.633] (-624.996) * (-601.463) (-631.946) [-589.891] (-626.482) -- 0:04:14
418000 -- [-599.199] (-630.479) (-597.705) (-620.576) * (-597.260) (-621.274) [-594.129] (-615.829) -- 0:04:13
419000 -- [-593.476] (-626.983) (-594.989) (-628.187) * [-588.282] (-631.648) (-599.672) (-630.866) -- 0:04:13
420000 -- (-594.143) (-629.979) [-591.231] (-627.135) * (-606.338) (-631.301) [-599.727] (-624.817) -- 0:04:12
Average standard deviation of split frequencies: 0.009135
421000 -- [-603.310] (-628.870) (-602.974) (-629.666) * (-603.234) (-625.923) [-592.237] (-628.848) -- 0:04:13
422000 -- (-597.557) (-623.132) [-597.841] (-624.935) * [-594.990] (-626.013) (-601.590) (-630.201) -- 0:04:12
423000 -- [-593.825] (-625.595) (-607.719) (-620.212) * [-592.484] (-627.954) (-592.753) (-630.311) -- 0:04:10
424000 -- (-599.677) (-640.391) [-595.663] (-628.085) * (-592.632) (-625.956) [-594.108] (-629.807) -- 0:04:11
425000 -- (-607.565) (-628.755) [-593.137] (-621.818) * [-596.356] (-622.378) (-591.314) (-630.463) -- 0:04:10
Average standard deviation of split frequencies: 0.009322
426000 -- [-594.792] (-639.507) (-595.721) (-623.521) * [-590.872] (-621.434) (-600.328) (-626.260) -- 0:04:10
427000 -- (-594.608) (-627.193) [-594.303] (-629.744) * [-600.197] (-633.130) (-607.294) (-631.198) -- 0:04:09
428000 -- (-590.695) (-620.350) [-597.734] (-627.926) * (-599.561) (-624.612) [-588.805] (-627.333) -- 0:04:09
429000 -- (-612.621) (-626.470) [-599.016] (-637.376) * (-600.192) (-632.115) [-595.037] (-627.821) -- 0:04:08
430000 -- [-595.559] (-631.474) (-596.812) (-623.766) * [-600.548] (-629.175) (-594.783) (-619.809) -- 0:04:07
Average standard deviation of split frequencies: 0.009785
431000 -- [-591.882] (-622.619) (-605.417) (-622.750) * (-600.278) (-630.114) [-599.789] (-629.651) -- 0:04:08
432000 -- (-600.390) (-627.973) [-596.335] (-634.861) * (-601.397) (-621.803) [-590.413] (-626.047) -- 0:04:07
433000 -- [-598.963] (-635.247) (-603.169) (-628.861) * [-601.158] (-618.083) (-596.916) (-619.564) -- 0:04:07
434000 -- (-593.095) (-630.056) [-596.995] (-635.883) * (-604.676) (-618.213) [-593.531] (-634.007) -- 0:04:06
435000 -- (-596.483) (-631.994) [-597.999] (-626.455) * (-601.944) (-620.762) [-594.243] (-630.277) -- 0:04:06
Average standard deviation of split frequencies: 0.010124
436000 -- (-606.590) (-624.775) [-598.126] (-631.012) * (-592.891) (-622.906) [-592.905] (-638.871) -- 0:04:05
437000 -- (-611.955) (-628.110) [-594.001] (-620.007) * (-599.908) (-624.110) [-596.838] (-620.682) -- 0:04:06
438000 -- (-605.542) (-628.373) [-594.443] (-621.917) * (-588.474) (-630.233) [-599.543] (-626.614) -- 0:04:05
439000 -- [-601.643] (-632.717) (-595.798) (-628.723) * [-587.918] (-630.080) (-599.754) (-634.384) -- 0:04:04
440000 -- (-605.456) (-628.630) [-591.910] (-627.895) * [-592.619] (-628.102) (-597.090) (-637.769) -- 0:04:04
Average standard deviation of split frequencies: 0.010600
441000 -- (-602.642) (-621.841) [-593.096] (-633.376) * [-598.267] (-623.996) (-598.980) (-622.151) -- 0:04:03
442000 -- (-600.728) (-620.344) [-594.317] (-620.946) * [-595.365] (-629.148) (-593.213) (-628.383) -- 0:04:03
443000 -- (-603.559) (-624.027) [-597.142] (-624.305) * (-599.486) (-626.284) [-593.704] (-626.670) -- 0:04:02
444000 -- (-618.458) (-625.706) [-595.731] (-627.040) * (-592.297) (-640.504) [-596.393] (-623.223) -- 0:04:02
445000 -- (-600.170) (-622.521) [-598.514] (-619.891) * (-603.700) (-623.657) [-593.585] (-626.794) -- 0:04:01
Average standard deviation of split frequencies: 0.011210
446000 -- [-595.021] (-631.795) (-600.999) (-619.972) * (-595.093) (-627.166) [-593.769] (-624.095) -- 0:04:00
447000 -- (-595.579) (-625.548) [-597.422] (-623.546) * (-596.744) (-631.668) [-599.374] (-629.526) -- 0:04:01
448000 -- (-599.206) (-629.825) [-596.389] (-632.356) * (-599.050) (-621.907) [-592.128] (-620.064) -- 0:04:00
449000 -- (-624.740) (-630.091) [-596.303] (-625.219) * (-594.983) (-621.129) [-596.322] (-624.353) -- 0:04:00
450000 -- (-620.491) (-650.191) [-603.880] (-634.438) * (-606.163) (-618.126) [-591.764] (-621.973) -- 0:03:59
Average standard deviation of split frequencies: 0.010841
451000 -- (-620.257) (-635.498) [-597.681] (-635.724) * (-601.811) (-626.207) [-595.400] (-621.194) -- 0:03:59
452000 -- (-621.321) (-634.078) [-594.131] (-624.658) * (-597.084) (-625.210) [-593.455] (-635.772) -- 0:03:58
453000 -- (-615.562) (-633.241) [-595.425] (-626.847) * [-598.443] (-622.565) (-597.242) (-623.374) -- 0:03:59
454000 -- (-616.522) (-620.487) [-597.521] (-624.563) * (-600.603) (-626.504) [-595.372] (-619.598) -- 0:03:58
455000 -- (-618.606) (-629.468) [-600.880] (-617.158) * [-592.368] (-625.029) (-597.867) (-624.860) -- 0:03:57
Average standard deviation of split frequencies: 0.010808
456000 -- (-612.585) (-633.705) [-591.410] (-631.837) * (-599.716) (-628.151) [-592.551] (-630.654) -- 0:03:57
457000 -- (-614.642) (-625.551) [-598.937] (-620.443) * [-595.653] (-622.961) (-591.873) (-625.792) -- 0:03:56
458000 -- (-622.539) (-622.665) [-596.366] (-623.729) * [-600.155] (-626.913) (-592.600) (-628.505) -- 0:03:56
459000 -- (-620.091) (-624.837) [-597.020] (-620.958) * [-594.856] (-644.614) (-600.552) (-630.555) -- 0:03:55
460000 -- (-613.712) (-622.450) [-603.988] (-614.687) * [-593.110] (-644.518) (-590.764) (-629.561) -- 0:03:55
Average standard deviation of split frequencies: 0.010295
461000 -- (-618.255) (-616.732) [-595.836] (-615.171) * (-595.983) (-623.001) [-597.885] (-627.702) -- 0:03:55
462000 -- (-616.836) (-634.607) [-591.987] (-616.316) * [-605.077] (-633.377) (-595.136) (-626.708) -- 0:03:54
463000 -- (-627.340) (-624.218) [-592.107] (-611.533) * [-598.713] (-630.456) (-594.146) (-631.672) -- 0:03:54
464000 -- (-622.798) (-633.202) [-600.825] (-617.520) * [-590.993] (-634.018) (-601.468) (-632.872) -- 0:03:53
465000 -- (-617.260) (-630.790) [-594.946] (-623.509) * (-601.410) (-632.263) [-592.987] (-629.745) -- 0:03:53
Average standard deviation of split frequencies: 0.009809
466000 -- (-623.577) (-621.779) [-591.729] (-614.224) * [-596.687] (-621.715) (-602.214) (-625.640) -- 0:03:52
467000 -- (-621.074) (-628.283) [-596.034] (-613.394) * (-598.480) (-617.580) [-589.897] (-625.801) -- 0:03:52
468000 -- (-622.868) (-622.550) [-592.119] (-614.762) * [-596.848] (-626.958) (-597.021) (-621.565) -- 0:03:51
469000 -- (-621.568) (-618.497) [-597.753] (-621.354) * [-592.124] (-634.727) (-595.259) (-632.405) -- 0:03:50
470000 -- (-621.561) (-620.614) [-588.316] (-627.628) * [-601.714] (-621.584) (-597.521) (-622.855) -- 0:03:51
Average standard deviation of split frequencies: 0.009651
471000 -- (-620.349) (-627.336) [-592.962] (-637.033) * (-601.973) (-631.219) [-591.903] (-637.277) -- 0:03:50
472000 -- (-612.434) (-626.812) [-589.688] (-632.017) * [-604.383] (-623.021) (-595.389) (-641.514) -- 0:03:50
473000 -- (-618.359) (-613.707) [-588.030] (-624.816) * (-608.926) (-626.524) [-600.550] (-639.455) -- 0:03:49
474000 -- (-614.043) (-615.682) [-596.959] (-617.185) * [-597.635] (-619.519) (-600.459) (-624.821) -- 0:03:49
475000 -- (-626.644) (-611.955) [-597.943] (-618.853) * (-595.444) (-631.940) [-595.732] (-621.236) -- 0:03:48
Average standard deviation of split frequencies: 0.009749
476000 -- (-618.731) (-624.016) [-598.038] (-621.048) * [-596.559] (-623.884) (-597.282) (-629.240) -- 0:03:47
477000 -- (-616.218) (-618.448) [-595.728] (-622.158) * (-596.139) (-623.439) [-593.582] (-628.242) -- 0:03:48
478000 -- (-624.841) (-615.537) [-593.118] (-617.947) * [-592.546] (-623.155) (-596.754) (-630.272) -- 0:03:47
479000 -- (-619.724) (-611.972) [-590.398] (-618.473) * [-597.458] (-641.100) (-601.220) (-616.718) -- 0:03:47
480000 -- (-613.902) (-619.172) [-594.875] (-619.589) * (-590.756) (-627.495) [-596.332] (-630.166) -- 0:03:46
Average standard deviation of split frequencies: 0.009685
481000 -- (-612.913) (-619.204) [-594.296] (-614.523) * (-592.263) (-621.889) [-591.560] (-624.883) -- 0:03:46
482000 -- (-615.344) (-612.887) [-591.875] (-623.355) * (-599.872) (-618.477) [-597.729] (-638.242) -- 0:03:45
483000 -- (-617.318) (-614.506) [-596.117] (-616.977) * (-599.284) (-624.532) [-597.037] (-632.904) -- 0:03:44
484000 -- (-622.670) (-619.697) [-590.575] (-612.479) * (-592.703) (-625.584) [-589.507] (-624.899) -- 0:03:44
485000 -- (-623.735) (-619.887) [-592.307] (-618.516) * [-596.358] (-624.415) (-592.182) (-627.241) -- 0:03:44
Average standard deviation of split frequencies: 0.009578
486000 -- (-618.131) (-615.132) [-590.936] (-621.922) * (-595.331) (-622.433) [-592.174] (-635.729) -- 0:03:44
487000 -- (-614.193) (-624.407) [-599.003] (-619.861) * [-590.314] (-631.325) (-602.143) (-625.318) -- 0:03:43
488000 -- (-623.693) (-619.925) [-597.582] (-617.084) * (-593.991) (-628.805) [-598.786] (-624.169) -- 0:03:43
489000 -- (-617.782) (-615.784) [-596.562] (-620.098) * (-594.895) (-627.325) [-596.462] (-630.096) -- 0:03:42
490000 -- (-619.612) (-617.509) [-590.976] (-619.701) * (-591.460) (-628.904) [-595.145] (-629.807) -- 0:03:41
Average standard deviation of split frequencies: 0.009397
491000 -- (-625.371) (-616.170) [-594.869] (-621.019) * (-598.722) (-627.056) [-595.482] (-631.093) -- 0:03:41
492000 -- (-619.080) (-614.061) [-600.865] (-620.326) * (-599.065) (-627.382) [-589.744] (-626.119) -- 0:03:40
493000 -- (-614.661) (-613.374) [-594.284] (-619.762) * (-595.532) (-624.055) [-596.482] (-633.733) -- 0:03:41
494000 -- (-620.664) (-619.263) [-593.588] (-620.692) * (-607.035) (-622.380) [-594.420] (-632.917) -- 0:03:40
495000 -- (-630.292) (-616.990) [-592.357] (-626.244) * (-591.730) (-625.492) [-595.412] (-635.518) -- 0:03:40
Average standard deviation of split frequencies: 0.009326
496000 -- (-611.270) (-626.863) [-593.130] (-623.110) * [-595.449] (-629.570) (-598.248) (-631.364) -- 0:03:39
497000 -- (-625.461) (-620.680) [-590.659] (-620.602) * (-602.893) (-636.847) [-595.237] (-628.018) -- 0:03:38
498000 -- (-621.284) (-611.631) [-595.694] (-620.877) * (-598.527) (-625.194) [-598.219] (-621.581) -- 0:03:38
499000 -- (-615.115) (-611.182) [-598.102] (-622.503) * [-601.023] (-622.859) (-607.333) (-631.041) -- 0:03:37
500000 -- (-613.833) (-611.174) [-590.820] (-617.345) * (-606.415) (-621.001) [-604.673] (-635.650) -- 0:03:38
Average standard deviation of split frequencies: 0.010239
501000 -- (-615.041) (-616.273) [-593.425] (-624.655) * (-598.400) (-626.545) [-590.670] (-623.589) -- 0:03:37
502000 -- (-614.357) (-626.153) [-596.405] (-619.654) * (-593.400) (-629.757) [-591.618] (-621.496) -- 0:03:37
503000 -- (-618.312) (-615.123) [-588.418] (-614.188) * [-594.781] (-628.853) (-595.392) (-630.059) -- 0:03:36
504000 -- (-623.342) (-637.602) [-599.344] (-623.626) * (-597.856) (-629.665) [-598.690] (-630.599) -- 0:03:35
505000 -- (-626.535) (-619.742) [-603.318] (-624.709) * [-592.499] (-623.421) (-601.413) (-619.687) -- 0:03:35
Average standard deviation of split frequencies: 0.009869
506000 -- (-616.641) (-620.663) [-595.083] (-613.875) * (-600.502) (-624.333) [-596.609] (-625.661) -- 0:03:34
507000 -- (-626.744) (-614.268) [-595.449] (-622.743) * (-597.735) (-625.862) [-596.364] (-630.139) -- 0:03:34
508000 -- (-624.340) (-615.596) [-598.226] (-617.678) * (-603.726) (-618.541) [-593.285] (-619.875) -- 0:03:34
509000 -- (-617.984) (-617.613) [-596.533] (-622.607) * (-603.165) (-629.155) [-591.954] (-638.550) -- 0:03:34
510000 -- (-614.938) (-615.904) [-602.660] (-616.636) * (-601.172) (-623.682) [-593.021] (-629.372) -- 0:03:33
Average standard deviation of split frequencies: 0.010068
511000 -- (-626.287) (-616.268) [-593.650] (-622.228) * [-605.206] (-628.018) (-602.863) (-625.144) -- 0:03:32
512000 -- (-618.364) (-615.233) [-592.230] (-619.882) * (-596.545) (-624.672) [-589.731] (-626.522) -- 0:03:32
513000 -- (-622.838) (-617.658) [-596.022] (-614.911) * [-591.795] (-624.646) (-616.608) (-625.169) -- 0:03:31
514000 -- (-622.627) (-616.698) [-601.712] (-621.915) * [-593.368] (-624.168) (-592.011) (-629.219) -- 0:03:31
515000 -- (-619.714) (-620.920) [-598.490] (-624.279) * (-595.054) (-632.362) [-593.536] (-628.329) -- 0:03:30
Average standard deviation of split frequencies: 0.010192
516000 -- (-616.070) (-618.107) [-608.051] (-622.777) * (-592.382) (-624.655) [-594.669] (-631.975) -- 0:03:31
517000 -- (-614.733) (-617.951) [-601.228] (-619.137) * (-598.693) (-629.809) [-595.440] (-619.903) -- 0:03:30
518000 -- (-625.030) (-622.447) [-593.183] (-628.692) * (-590.320) (-633.141) [-599.966] (-628.737) -- 0:03:29
519000 -- (-615.257) (-624.013) [-593.149] (-621.852) * (-604.079) (-621.350) [-596.709] (-637.749) -- 0:03:29
520000 -- (-636.267) (-613.338) [-598.659] (-622.478) * (-606.147) (-630.415) [-592.890] (-625.570) -- 0:03:28
Average standard deviation of split frequencies: 0.010751
521000 -- (-628.272) (-622.947) [-596.589] (-616.685) * (-590.858) (-635.798) [-595.856] (-627.926) -- 0:03:28
522000 -- (-637.246) (-613.378) [-599.321] (-615.142) * (-596.992) (-634.108) [-605.207] (-622.226) -- 0:03:27
523000 -- (-621.903) (-620.324) [-596.228] (-608.993) * (-606.954) (-631.756) [-594.448] (-620.973) -- 0:03:27
524000 -- (-618.954) (-614.205) [-598.826] (-618.194) * (-607.354) (-628.685) [-602.880] (-637.643) -- 0:03:27
525000 -- (-623.206) (-617.318) [-601.354] (-616.051) * (-599.524) (-638.595) [-601.522] (-628.472) -- 0:03:26
Average standard deviation of split frequencies: 0.010374
526000 -- (-622.511) (-616.942) [-595.253] (-622.145) * (-601.242) (-627.416) [-602.944] (-627.470) -- 0:03:26
527000 -- (-618.953) (-623.297) [-596.172] (-617.373) * (-595.032) (-632.323) [-599.888] (-622.157) -- 0:03:25
528000 -- (-613.030) (-614.532) [-601.053] (-612.480) * (-595.977) (-625.772) [-592.896] (-627.380) -- 0:03:25
529000 -- (-622.548) (-614.442) [-602.732] (-620.241) * (-593.549) (-629.552) [-600.141] (-629.309) -- 0:03:24
530000 -- (-617.615) (-617.540) [-597.899] (-614.793) * (-594.651) (-629.172) [-599.038] (-631.761) -- 0:03:24
Average standard deviation of split frequencies: 0.010202
531000 -- (-617.633) (-620.994) [-594.273] (-620.216) * [-594.891] (-626.631) (-602.525) (-625.389) -- 0:03:24
532000 -- (-615.089) (-614.108) [-590.967] (-623.002) * (-591.998) (-621.258) [-596.550] (-634.575) -- 0:03:23
533000 -- (-624.089) (-616.096) [-588.117] (-622.798) * [-593.915] (-617.771) (-589.849) (-629.934) -- 0:03:23
534000 -- (-616.741) (-621.173) [-595.784] (-619.008) * [-594.120] (-623.997) (-599.438) (-625.692) -- 0:03:22
535000 -- (-618.654) (-618.987) [-603.025] (-623.424) * (-595.122) (-620.506) [-598.221] (-627.834) -- 0:03:22
Average standard deviation of split frequencies: 0.010394
536000 -- (-616.131) (-620.808) [-594.073] (-617.785) * (-587.413) (-634.121) [-589.939] (-629.028) -- 0:03:21
537000 -- (-618.049) (-620.013) [-593.804] (-613.976) * (-602.010) (-625.134) [-588.718] (-620.480) -- 0:03:21
538000 -- (-617.531) (-622.292) [-598.626] (-622.863) * (-602.541) (-615.070) [-591.185] (-624.492) -- 0:03:20
539000 -- (-618.276) (-619.303) [-591.729] (-615.513) * [-600.033] (-623.388) (-596.758) (-624.588) -- 0:03:20
540000 -- (-619.202) (-614.702) [-595.053] (-617.651) * [-595.756] (-624.219) (-603.411) (-629.927) -- 0:03:20
Average standard deviation of split frequencies: 0.010172
541000 -- (-613.038) (-615.395) [-605.703] (-625.946) * (-592.629) (-630.767) [-594.232] (-620.033) -- 0:03:19
542000 -- (-616.555) (-610.550) [-595.688] (-618.065) * (-595.764) (-629.298) [-595.857] (-629.287) -- 0:03:19
543000 -- (-614.396) (-614.392) [-593.777] (-618.484) * (-605.613) (-619.941) [-591.913] (-630.897) -- 0:03:18
544000 -- (-623.794) (-612.022) [-594.069] (-624.217) * [-599.017] (-625.337) (-598.131) (-619.587) -- 0:03:18
545000 -- (-619.831) (-623.732) [-598.614] (-623.610) * (-601.345) (-619.475) [-600.476] (-625.357) -- 0:03:17
Average standard deviation of split frequencies: 0.010073
546000 -- (-627.766) (-612.895) [-602.585] (-623.855) * (-596.984) (-625.764) [-601.316] (-618.683) -- 0:03:17
547000 -- (-613.756) (-612.144) [-598.431] (-623.662) * (-596.438) (-632.825) [-594.675] (-619.204) -- 0:03:17
548000 -- (-618.072) (-612.501) [-599.588] (-619.830) * (-593.004) (-629.638) [-592.017] (-623.636) -- 0:03:16
549000 -- (-621.499) (-634.241) [-594.989] (-614.589) * (-592.921) (-629.446) [-603.041] (-625.484) -- 0:03:16
550000 -- (-608.958) (-623.442) [-594.158] (-628.922) * (-594.813) (-625.774) [-590.951] (-629.711) -- 0:03:15
Average standard deviation of split frequencies: 0.009858
551000 -- (-614.608) (-627.466) [-594.966] (-622.964) * (-598.153) (-624.684) [-591.216] (-621.257) -- 0:03:15
552000 -- (-618.635) (-631.477) [-593.901] (-621.290) * [-597.104] (-627.635) (-606.925) (-622.298) -- 0:03:14
553000 -- (-619.103) (-630.995) [-594.092] (-631.855) * (-593.062) (-627.137) [-594.652] (-632.661) -- 0:03:13
554000 -- (-622.784) (-624.253) [-595.054] (-620.365) * [-593.249] (-621.885) (-597.917) (-623.656) -- 0:03:14
555000 -- (-629.436) (-619.198) [-593.592] (-615.654) * (-595.331) (-634.597) [-596.823] (-625.291) -- 0:03:13
Average standard deviation of split frequencies: 0.009635
556000 -- (-632.593) (-617.378) [-595.183] (-616.743) * (-591.103) (-632.281) [-597.681] (-624.516) -- 0:03:13
557000 -- (-618.916) (-614.460) [-593.268] (-619.304) * [-593.032] (-637.666) (-597.103) (-618.385) -- 0:03:12
558000 -- (-618.269) (-617.563) [-591.708] (-625.046) * (-596.506) (-635.663) [-595.207] (-625.545) -- 0:03:12
559000 -- (-617.298) (-610.435) [-591.732] (-615.522) * (-595.637) (-631.393) [-593.512] (-627.536) -- 0:03:11
560000 -- (-624.389) (-617.984) [-592.794] (-614.535) * [-597.793] (-625.921) (-595.980) (-629.665) -- 0:03:10
Average standard deviation of split frequencies: 0.009402
561000 -- (-629.343) (-618.216) [-596.049] (-619.938) * (-605.946) (-626.565) [-593.743] (-627.910) -- 0:03:10
562000 -- (-617.907) (-611.176) [-599.778] (-615.222) * (-612.593) (-620.696) [-601.138] (-625.007) -- 0:03:10
563000 -- (-617.726) (-613.910) [-599.240] (-614.966) * (-594.353) (-628.534) [-594.724] (-632.753) -- 0:03:10
564000 -- (-632.312) (-622.685) [-598.246] (-615.521) * (-601.373) (-626.186) [-600.601] (-621.767) -- 0:03:09
565000 -- (-627.625) (-614.857) [-591.788] (-622.457) * [-595.895] (-631.405) (-605.078) (-622.623) -- 0:03:09
Average standard deviation of split frequencies: 0.009616
566000 -- (-620.338) (-619.673) [-595.660] (-622.923) * [-596.666] (-625.155) (-604.609) (-626.876) -- 0:03:08
567000 -- (-620.775) (-620.006) [-602.569] (-623.845) * (-615.839) (-625.918) [-600.594] (-625.140) -- 0:03:07
568000 -- (-626.940) (-616.504) [-594.056] (-619.809) * (-602.680) (-625.529) [-591.017] (-621.285) -- 0:03:07
569000 -- (-628.122) (-622.770) [-587.082] (-620.113) * (-613.365) (-624.376) [-597.323] (-617.769) -- 0:03:07
570000 -- (-628.075) (-618.941) [-597.807] (-617.562) * [-593.914] (-618.975) (-597.714) (-627.551) -- 0:03:07
Average standard deviation of split frequencies: 0.009637
571000 -- (-617.883) (-614.829) [-596.605] (-621.860) * [-591.883] (-626.661) (-598.202) (-623.998) -- 0:03:06
572000 -- (-613.052) (-617.866) [-596.629] (-618.605) * [-591.131] (-625.457) (-602.037) (-620.475) -- 0:03:05
573000 -- (-629.412) (-616.862) [-598.313] (-618.038) * [-588.982] (-628.569) (-601.506) (-622.373) -- 0:03:05
574000 -- (-624.220) (-620.850) [-603.706] (-618.183) * [-594.986] (-624.780) (-601.388) (-625.681) -- 0:03:04
575000 -- (-623.204) (-610.178) [-592.624] (-624.905) * [-598.154] (-626.092) (-590.406) (-630.930) -- 0:03:04
Average standard deviation of split frequencies: 0.009300
576000 -- (-618.294) (-619.054) [-599.240] (-618.667) * [-596.122] (-634.956) (-599.825) (-631.755) -- 0:03:04
577000 -- (-626.054) (-620.190) [-594.401] (-624.705) * [-600.178] (-628.249) (-593.291) (-634.123) -- 0:03:04
578000 -- (-621.398) (-617.424) [-595.076] (-625.491) * (-598.846) (-627.318) [-591.889] (-626.973) -- 0:03:03
579000 -- (-622.839) (-621.218) [-595.273] (-616.285) * (-595.332) (-626.049) [-596.412] (-625.855) -- 0:03:02
580000 -- (-613.659) (-623.013) [-602.131] (-616.918) * (-598.883) (-622.967) [-596.692] (-626.478) -- 0:03:02
Average standard deviation of split frequencies: 0.009503
581000 -- (-616.033) (-613.253) [-592.699] (-612.091) * [-588.952] (-625.524) (-594.307) (-624.832) -- 0:03:01
582000 -- (-620.842) (-616.306) [-599.234] (-617.797) * (-609.271) (-632.809) [-597.779] (-627.533) -- 0:03:01
583000 -- (-628.033) (-618.317) [-594.154] (-611.599) * (-604.297) (-625.878) [-597.353] (-623.826) -- 0:03:00
584000 -- (-625.395) (-617.082) [-590.957] (-622.294) * (-599.933) (-636.535) [-596.383] (-627.597) -- 0:03:00
585000 -- (-629.506) (-617.556) [-598.878] (-630.622) * (-601.699) (-624.404) [-593.572] (-623.634) -- 0:03:00
Average standard deviation of split frequencies: 0.009133
586000 -- (-634.688) (-617.277) [-596.168] (-617.161) * (-605.467) (-622.937) [-596.780] (-620.857) -- 0:02:59
587000 -- (-629.558) (-618.588) [-599.297] (-619.232) * (-597.543) (-616.264) [-594.275] (-622.966) -- 0:02:59
588000 -- (-634.446) (-624.048) [-598.452] (-614.506) * (-593.284) (-624.276) [-594.865] (-619.144) -- 0:02:58
589000 -- (-619.816) (-622.146) [-594.914] (-623.779) * (-602.271) (-626.304) [-596.580] (-628.570) -- 0:02:58
590000 -- (-613.353) (-619.412) [-600.633] (-622.066) * (-596.990) (-626.792) [-594.057] (-626.176) -- 0:02:57
Average standard deviation of split frequencies: 0.009108
591000 -- (-613.983) (-615.925) [-598.714] (-616.929) * [-588.401] (-622.584) (-600.216) (-623.645) -- 0:02:57
592000 -- (-613.680) (-615.235) [-600.218] (-617.584) * (-597.082) (-619.203) [-593.175] (-624.787) -- 0:02:57
593000 -- (-609.197) (-619.955) [-599.760] (-621.536) * [-595.765] (-626.122) (-598.047) (-637.086) -- 0:02:56
594000 -- (-618.982) (-617.787) [-597.845] (-610.382) * [-601.005] (-634.626) (-606.150) (-624.427) -- 0:02:56
595000 -- (-610.932) (-621.714) [-594.637] (-621.481) * [-591.938] (-620.237) (-599.649) (-630.878) -- 0:02:55
Average standard deviation of split frequencies: 0.008964
596000 -- (-624.169) (-621.618) [-593.383] (-613.091) * [-591.502] (-627.248) (-593.393) (-621.370) -- 0:02:55
597000 -- (-616.736) (-619.948) [-596.172] (-622.317) * (-616.604) (-627.017) [-589.042] (-627.819) -- 0:02:54
598000 -- (-615.768) (-619.920) [-594.931] (-620.228) * (-602.495) (-633.277) [-600.178] (-631.780) -- 0:02:54
599000 -- (-615.826) (-621.608) [-595.546] (-634.721) * (-601.029) (-628.818) [-598.718] (-620.921) -- 0:02:54
600000 -- (-620.504) (-626.640) [-593.828] (-616.901) * [-604.033] (-640.558) (-596.275) (-619.157) -- 0:02:53
Average standard deviation of split frequencies: 0.008847
601000 -- (-612.204) (-618.798) [-594.683] (-618.288) * (-596.925) (-637.016) [-601.688] (-621.853) -- 0:02:53
602000 -- (-612.037) (-617.530) [-589.223] (-619.203) * (-589.486) (-639.754) [-590.041] (-622.594) -- 0:02:52
603000 -- (-616.313) (-618.030) [-596.475] (-628.286) * (-596.300) (-628.285) [-598.248] (-621.423) -- 0:02:52
604000 -- (-622.636) (-615.242) [-604.102] (-619.947) * (-594.260) (-623.531) [-594.920] (-628.213) -- 0:02:51
605000 -- (-613.332) (-621.154) [-589.333] (-618.851) * (-596.849) (-625.857) [-598.648] (-627.659) -- 0:02:51
Average standard deviation of split frequencies: 0.009005
606000 -- (-618.024) (-618.805) [-593.957] (-619.812) * (-599.607) (-630.047) [-593.424] (-624.315) -- 0:02:50
607000 -- (-616.482) (-612.396) [-595.837] (-627.890) * [-600.350] (-628.330) (-589.908) (-633.441) -- 0:02:50
608000 -- (-628.032) (-621.042) [-589.053] (-619.960) * [-594.094] (-616.811) (-594.999) (-631.064) -- 0:02:50
609000 -- (-623.527) (-616.547) [-593.392] (-624.450) * [-597.310] (-631.696) (-600.313) (-628.114) -- 0:02:49
610000 -- (-624.104) (-614.719) [-595.221] (-617.273) * [-596.408] (-624.123) (-595.395) (-627.523) -- 0:02:49
Average standard deviation of split frequencies: 0.008819
611000 -- (-610.992) (-615.441) [-596.685] (-623.883) * [-594.431] (-647.525) (-597.515) (-627.312) -- 0:02:48
612000 -- (-618.565) (-613.716) [-591.722] (-630.610) * [-593.433] (-653.198) (-594.729) (-632.078) -- 0:02:48
613000 -- (-618.391) (-621.187) [-593.710] (-612.401) * [-594.935] (-628.511) (-596.999) (-624.243) -- 0:02:47
614000 -- (-617.822) (-621.656) [-594.125] (-621.408) * [-598.692] (-626.814) (-600.970) (-623.538) -- 0:02:47
615000 -- (-624.671) (-620.026) [-596.687] (-623.066) * (-594.616) (-640.561) [-591.431] (-625.498) -- 0:02:47
Average standard deviation of split frequencies: 0.009067
616000 -- (-621.052) (-625.934) [-588.607] (-624.035) * [-596.304] (-628.578) (-593.013) (-623.791) -- 0:02:46
617000 -- (-620.633) (-621.063) [-594.726] (-625.512) * [-598.916] (-633.517) (-601.930) (-629.213) -- 0:02:46
618000 -- (-622.897) (-616.373) [-592.473] (-617.134) * [-594.250] (-634.428) (-600.763) (-626.312) -- 0:02:45
619000 -- (-620.744) (-618.317) [-599.695] (-616.922) * [-601.270] (-635.607) (-613.212) (-622.576) -- 0:02:44
620000 -- (-628.486) (-616.096) [-598.769] (-619.925) * [-604.177] (-628.964) (-602.029) (-639.057) -- 0:02:44
Average standard deviation of split frequencies: 0.008838
621000 -- (-620.253) (-620.774) [-593.864] (-628.641) * [-594.388] (-624.140) (-603.264) (-620.276) -- 0:02:44
622000 -- (-624.632) (-611.979) [-592.010] (-619.758) * [-605.552] (-624.959) (-595.222) (-626.121) -- 0:02:44
623000 -- (-622.390) (-613.585) [-594.429] (-620.075) * [-598.105] (-627.417) (-591.411) (-633.017) -- 0:02:43
624000 -- (-615.467) (-619.330) [-597.419] (-622.816) * [-595.302] (-632.026) (-600.745) (-624.990) -- 0:02:43
625000 -- (-614.071) (-613.696) [-592.911] (-614.557) * (-596.482) (-632.461) [-595.672] (-627.247) -- 0:02:42
Average standard deviation of split frequencies: 0.009014
626000 -- (-622.139) (-620.914) [-597.117] (-621.852) * [-594.566] (-637.100) (-596.492) (-629.416) -- 0:02:41
627000 -- (-625.035) (-611.894) [-589.806] (-621.467) * (-595.725) (-636.204) [-600.351] (-626.375) -- 0:02:41
628000 -- (-629.706) (-613.667) [-593.351] (-619.002) * (-598.368) (-634.901) [-595.345] (-636.667) -- 0:02:41
629000 -- (-622.584) (-617.470) [-594.598] (-614.482) * (-597.553) (-630.362) [-597.428] (-623.312) -- 0:02:41
630000 -- (-616.509) (-617.676) [-600.449] (-617.137) * (-597.479) (-626.694) [-609.722] (-624.106) -- 0:02:40
Average standard deviation of split frequencies: 0.008902
631000 -- (-627.725) (-616.332) [-598.458] (-614.538) * (-611.088) (-640.555) [-594.829] (-618.887) -- 0:02:40
632000 -- (-616.039) (-627.194) [-597.281] (-617.401) * (-612.582) (-625.965) [-594.148] (-632.286) -- 0:02:39
633000 -- (-617.809) (-615.607) [-593.386] (-619.956) * [-600.674] (-629.513) (-599.981) (-625.527) -- 0:02:39
634000 -- (-630.512) (-630.722) [-589.877] (-622.930) * [-593.028] (-632.243) (-596.582) (-630.933) -- 0:02:38
635000 -- (-620.067) (-618.621) [-594.358] (-628.759) * [-600.706] (-639.175) (-615.560) (-622.556) -- 0:02:38
Average standard deviation of split frequencies: 0.008625
636000 -- (-616.043) (-614.890) [-591.388] (-620.208) * (-599.494) (-635.523) [-591.122] (-627.852) -- 0:02:37
637000 -- (-620.982) (-619.428) [-588.907] (-641.651) * (-604.568) (-629.598) [-592.670] (-627.861) -- 0:02:37
638000 -- (-616.624) (-621.199) [-604.254] (-648.739) * (-604.140) (-622.963) [-588.624] (-631.843) -- 0:02:37
639000 -- (-623.441) (-619.721) [-597.339] (-613.422) * (-607.414) (-619.767) [-589.814] (-629.192) -- 0:02:36
640000 -- (-611.001) (-612.762) [-589.246] (-614.429) * (-599.440) (-620.774) [-597.936] (-630.994) -- 0:02:36
Average standard deviation of split frequencies: 0.008873
641000 -- (-616.921) (-616.404) [-597.526] (-628.816) * (-601.978) (-620.609) [-598.430] (-627.911) -- 0:02:35
642000 -- (-623.064) (-616.307) [-601.147] (-625.065) * [-596.425] (-619.482) (-597.669) (-634.240) -- 0:02:35
643000 -- (-619.458) (-621.939) [-588.214] (-618.963) * [-591.301] (-622.654) (-593.338) (-633.266) -- 0:02:34
644000 -- (-617.992) (-614.349) [-603.196] (-618.237) * [-597.267] (-635.547) (-601.719) (-624.999) -- 0:02:34
645000 -- (-617.013) (-618.070) [-599.003] (-619.352) * (-600.798) (-624.531) [-595.085] (-633.308) -- 0:02:34
Average standard deviation of split frequencies: 0.008886
646000 -- (-613.995) (-621.742) [-595.590] (-621.264) * (-597.243) (-628.778) [-591.574] (-629.481) -- 0:02:33
647000 -- (-613.157) (-619.086) [-598.389] (-615.227) * [-599.303] (-629.775) (-595.129) (-619.513) -- 0:02:33
648000 -- (-623.115) (-619.829) [-597.849] (-622.446) * [-593.278] (-621.983) (-608.605) (-620.833) -- 0:02:32
649000 -- (-618.524) (-617.890) [-602.776] (-619.792) * [-592.772] (-638.689) (-607.489) (-624.057) -- 0:02:31
650000 -- (-622.627) (-624.237) [-603.298] (-625.370) * [-599.528] (-625.323) (-601.168) (-622.747) -- 0:02:31
Average standard deviation of split frequencies: 0.008545
651000 -- (-618.046) (-647.465) [-597.012] (-622.917) * (-597.574) (-626.314) [-594.222] (-624.391) -- 0:02:31
652000 -- (-613.269) (-621.113) [-602.630] (-619.511) * (-598.414) (-636.790) [-599.153] (-626.888) -- 0:02:31
653000 -- (-622.733) (-631.604) [-593.512] (-620.702) * (-606.883) (-637.040) [-595.414] (-619.217) -- 0:02:30
654000 -- (-615.025) (-626.005) [-593.518] (-619.301) * (-598.012) (-625.885) [-591.850] (-630.284) -- 0:02:30
655000 -- (-624.356) (-613.390) [-598.039] (-620.788) * (-595.493) (-625.911) [-594.365] (-624.528) -- 0:02:29
Average standard deviation of split frequencies: 0.008687
656000 -- (-630.803) (-623.686) [-593.357] (-615.795) * (-607.315) (-638.246) [-597.737] (-619.392) -- 0:02:28
657000 -- (-613.625) (-618.370) [-596.048] (-621.164) * (-590.348) (-630.965) [-591.612] (-626.244) -- 0:02:28
658000 -- (-618.164) (-619.061) [-599.518] (-617.574) * (-603.955) (-621.450) [-597.851] (-642.130) -- 0:02:28
659000 -- (-620.219) (-620.354) [-598.604] (-615.683) * (-599.819) (-630.429) [-598.217] (-620.871) -- 0:02:27
660000 -- (-634.969) (-618.307) [-605.592] (-622.299) * [-593.278] (-631.639) (-590.175) (-628.038) -- 0:02:27
Average standard deviation of split frequencies: 0.009125
661000 -- (-628.547) (-617.178) [-590.710] (-615.263) * (-606.343) (-631.586) [-594.560] (-628.525) -- 0:02:27
662000 -- (-636.223) (-618.321) [-592.390] (-618.745) * (-596.514) (-631.067) [-592.275] (-625.464) -- 0:02:26
663000 -- (-621.210) (-619.157) [-599.873] (-618.045) * [-591.231] (-629.871) (-599.586) (-623.608) -- 0:02:25
664000 -- (-625.201) (-622.440) [-596.346] (-626.756) * [-592.062] (-636.334) (-603.831) (-630.602) -- 0:02:25
665000 -- (-625.117) (-618.009) [-595.820] (-615.940) * [-592.824] (-626.387) (-608.290) (-627.396) -- 0:02:25
Average standard deviation of split frequencies: 0.009266
666000 -- (-625.456) (-613.935) [-586.966] (-620.541) * [-592.201] (-635.431) (-599.806) (-622.466) -- 0:02:24
667000 -- (-623.111) (-620.020) [-598.507] (-622.176) * [-597.400] (-630.325) (-595.590) (-622.097) -- 0:02:24
668000 -- (-613.886) (-611.722) [-587.333] (-614.318) * [-596.536] (-629.003) (-596.123) (-622.490) -- 0:02:24
669000 -- (-618.458) (-619.079) [-594.589] (-625.684) * [-596.720] (-634.960) (-599.340) (-622.012) -- 0:02:23
670000 -- (-625.248) (-617.139) [-595.685] (-626.817) * [-593.615] (-638.542) (-598.370) (-631.826) -- 0:02:22
Average standard deviation of split frequencies: 0.009180
671000 -- (-623.084) (-618.085) [-601.279] (-613.105) * [-594.260] (-633.710) (-591.098) (-622.990) -- 0:02:22
672000 -- (-624.584) (-628.407) [-593.423] (-632.201) * (-598.059) (-626.244) [-598.962] (-633.836) -- 0:02:22
673000 -- (-624.225) (-619.473) [-594.855] (-620.927) * [-590.124] (-625.342) (-596.554) (-620.908) -- 0:02:21
674000 -- (-614.066) (-625.134) [-595.012] (-620.675) * [-593.795] (-630.474) (-608.465) (-626.764) -- 0:02:21
675000 -- (-624.334) (-617.816) [-586.560] (-620.348) * [-598.832] (-627.370) (-595.873) (-620.984) -- 0:02:21
Average standard deviation of split frequencies: 0.008960
676000 -- (-613.963) (-626.257) [-596.752] (-628.158) * [-590.234] (-625.934) (-606.572) (-625.338) -- 0:02:20
677000 -- (-617.692) (-612.041) [-596.373] (-621.619) * (-597.888) (-620.681) [-592.630] (-632.247) -- 0:02:19
678000 -- (-619.567) (-620.267) [-592.653] (-624.376) * [-599.883] (-620.651) (-604.580) (-623.662) -- 0:02:19
679000 -- (-616.207) (-621.558) [-593.558] (-618.002) * (-607.810) (-625.910) [-591.922] (-634.183) -- 0:02:18
680000 -- (-613.260) (-619.457) [-591.402] (-618.068) * (-605.084) (-630.993) [-596.103] (-619.981) -- 0:02:18
Average standard deviation of split frequencies: 0.008856
681000 -- (-612.564) (-620.233) [-595.624] (-633.087) * (-595.386) (-633.745) [-593.328] (-629.407) -- 0:02:18
682000 -- (-616.555) (-625.720) [-596.533] (-616.492) * (-593.503) (-631.869) [-596.363] (-617.553) -- 0:02:18
683000 -- (-619.593) (-627.650) [-592.088] (-612.663) * [-598.561] (-623.103) (-605.800) (-629.031) -- 0:02:17
684000 -- (-614.637) (-621.841) [-588.010] (-616.507) * (-592.715) (-625.795) [-593.375] (-622.248) -- 0:02:16
685000 -- (-626.754) (-616.115) [-589.563] (-617.481) * [-592.691] (-627.045) (-600.157) (-630.125) -- 0:02:16
Average standard deviation of split frequencies: 0.008746
686000 -- (-617.994) (-616.443) [-596.037] (-615.193) * (-600.449) (-633.882) [-592.975] (-626.795) -- 0:02:15
687000 -- (-619.887) (-620.675) [-595.930] (-622.110) * (-597.290) (-627.524) [-595.309] (-630.294) -- 0:02:15
688000 -- (-615.288) (-620.405) [-592.950] (-628.481) * [-601.037] (-627.073) (-600.579) (-624.489) -- 0:02:15
689000 -- (-617.501) (-617.496) [-590.991] (-621.500) * (-596.559) (-629.854) [-590.826] (-629.304) -- 0:02:14
690000 -- (-618.783) (-625.312) [-596.636] (-628.664) * (-596.379) (-624.196) [-599.557] (-629.623) -- 0:02:14
Average standard deviation of split frequencies: 0.008852
691000 -- (-626.903) (-618.597) [-597.439] (-621.835) * [-590.112] (-628.058) (-599.330) (-630.478) -- 0:02:13
692000 -- (-619.983) (-620.707) [-596.341] (-619.055) * [-593.674] (-626.716) (-603.229) (-629.233) -- 0:02:13
693000 -- (-632.697) (-631.429) [-595.680] (-638.231) * [-600.103] (-621.268) (-599.201) (-621.694) -- 0:02:12
694000 -- (-618.409) (-616.429) [-591.737] (-621.424) * [-588.749] (-627.453) (-596.575) (-628.330) -- 0:02:12
695000 -- (-617.267) (-621.766) [-605.887] (-619.820) * [-592.743] (-621.357) (-599.492) (-622.208) -- 0:02:12
Average standard deviation of split frequencies: 0.008579
696000 -- (-613.409) (-623.657) [-593.832] (-616.677) * (-592.619) (-634.935) [-600.065] (-631.154) -- 0:02:11
697000 -- (-619.704) (-619.452) [-592.319] (-623.687) * (-595.962) (-627.971) [-594.169] (-625.874) -- 0:02:11
698000 -- (-614.791) (-630.067) [-585.083] (-615.476) * (-596.195) (-625.649) [-598.463] (-622.127) -- 0:02:10
699000 -- (-622.655) (-621.405) [-588.315] (-615.722) * [-591.922] (-626.725) (-604.444) (-623.413) -- 0:02:10
700000 -- (-616.722) (-629.772) [-596.795] (-617.594) * (-601.366) (-636.585) [-598.893] (-627.079) -- 0:02:09
Average standard deviation of split frequencies: 0.008502
701000 -- (-617.176) (-617.027) [-595.538] (-623.712) * (-602.415) (-622.866) [-592.331] (-628.033) -- 0:02:09
702000 -- (-616.768) (-622.508) [-598.094] (-616.536) * [-593.648] (-626.277) (-602.582) (-625.056) -- 0:02:09
703000 -- (-623.638) (-621.335) [-598.250] (-617.452) * (-605.162) (-619.162) [-599.787] (-629.154) -- 0:02:08
704000 -- (-621.798) (-623.730) [-588.246] (-622.727) * [-594.233] (-620.275) (-599.490) (-622.300) -- 0:02:08
705000 -- (-624.670) (-633.940) [-595.827] (-618.135) * (-594.381) (-634.333) [-589.179] (-624.840) -- 0:02:07
Average standard deviation of split frequencies: 0.008700
706000 -- (-613.308) (-623.175) [-599.966] (-619.649) * [-591.072] (-629.461) (-589.223) (-632.391) -- 0:02:07
707000 -- (-618.658) (-616.834) [-600.884] (-624.507) * [-597.729] (-624.896) (-595.310) (-630.249) -- 0:02:06
708000 -- (-621.481) (-618.370) [-595.356] (-622.243) * [-590.598] (-623.923) (-600.290) (-626.124) -- 0:02:06
709000 -- (-625.414) (-621.415) [-588.743] (-625.859) * (-594.841) (-624.246) [-594.540] (-622.651) -- 0:02:06
710000 -- (-624.747) (-616.935) [-591.324] (-615.843) * [-595.822] (-624.725) (-599.934) (-628.903) -- 0:02:05
Average standard deviation of split frequencies: 0.008724
711000 -- (-621.139) (-616.990) [-590.797] (-618.606) * [-601.539] (-632.815) (-591.334) (-628.939) -- 0:02:05
712000 -- (-625.912) (-615.340) [-592.440] (-612.935) * (-604.915) (-630.774) [-593.695] (-628.515) -- 0:02:04
713000 -- (-615.700) (-618.202) [-596.138] (-614.848) * (-594.453) (-633.711) [-599.059] (-626.286) -- 0:02:04
714000 -- (-625.248) (-611.073) [-594.282] (-622.811) * (-601.729) (-627.164) [-598.882] (-633.906) -- 0:02:03
715000 -- (-624.434) (-626.742) [-592.800] (-614.947) * [-597.051] (-623.911) (-595.068) (-634.498) -- 0:02:03
Average standard deviation of split frequencies: 0.008838
716000 -- (-618.966) (-616.550) [-594.809] (-619.769) * (-605.020) (-628.770) [-596.477] (-635.962) -- 0:02:02
717000 -- (-630.253) (-616.355) [-595.569] (-622.802) * (-599.818) (-627.329) [-593.261] (-629.857) -- 0:02:02
718000 -- (-621.487) (-618.800) [-597.020] (-626.449) * (-593.168) (-629.178) [-590.599] (-624.822) -- 0:02:02
719000 -- (-618.139) (-626.005) [-591.974] (-626.399) * [-597.829] (-625.186) (-601.695) (-629.037) -- 0:02:01
720000 -- (-619.070) (-621.527) [-594.438] (-619.567) * [-594.139] (-622.455) (-593.247) (-626.491) -- 0:02:01
Average standard deviation of split frequencies: 0.008741
721000 -- (-621.951) (-618.510) [-596.675] (-616.477) * [-593.072] (-622.424) (-594.394) (-626.490) -- 0:02:00
722000 -- (-626.544) (-618.224) [-595.877] (-615.990) * [-594.620] (-623.073) (-593.747) (-635.573) -- 0:02:00
723000 -- (-619.206) (-618.205) [-589.895] (-616.226) * [-591.537] (-627.520) (-603.448) (-623.325) -- 0:01:59
724000 -- (-617.281) (-619.766) [-595.213] (-619.918) * (-601.951) (-628.253) [-593.140] (-630.964) -- 0:01:59
725000 -- (-613.644) (-621.722) [-597.439] (-615.865) * [-590.648] (-621.964) (-595.651) (-628.473) -- 0:01:59
Average standard deviation of split frequencies: 0.008638
726000 -- (-620.869) (-614.772) [-584.229] (-613.765) * [-598.399] (-625.643) (-604.079) (-640.898) -- 0:01:58
727000 -- (-626.968) (-619.916) [-599.583] (-615.976) * (-600.091) (-628.189) [-591.943] (-629.845) -- 0:01:58
728000 -- (-624.682) (-620.465) [-591.708] (-621.526) * [-594.824] (-631.473) (-613.726) (-635.729) -- 0:01:57
729000 -- (-620.773) (-613.930) [-591.680] (-614.321) * [-605.221] (-618.191) (-589.094) (-637.487) -- 0:01:57
730000 -- (-625.580) (-615.055) [-594.921] (-618.708) * [-596.414] (-635.884) (-595.128) (-621.555) -- 0:01:56
Average standard deviation of split frequencies: 0.008426
731000 -- (-625.942) (-621.041) [-590.337] (-613.398) * [-589.547] (-630.404) (-603.579) (-632.466) -- 0:01:56
732000 -- (-620.783) (-623.106) [-596.873] (-618.367) * (-603.371) (-638.133) [-597.722] (-629.667) -- 0:01:56
733000 -- (-620.123) (-621.634) [-593.595] (-619.886) * (-597.789) (-633.259) [-593.948] (-620.710) -- 0:01:55
734000 -- (-614.650) (-620.640) [-593.752] (-618.044) * [-597.819] (-630.304) (-595.783) (-628.840) -- 0:01:55
735000 -- (-619.087) (-618.526) [-588.962] (-642.098) * (-601.834) (-619.353) [-594.692] (-633.431) -- 0:01:54
Average standard deviation of split frequencies: 0.008676
736000 -- (-622.161) (-611.759) [-594.489] (-626.211) * (-590.957) (-623.586) [-591.236] (-624.515) -- 0:01:54
737000 -- (-619.348) (-618.155) [-593.057] (-617.058) * [-600.081] (-634.462) (-598.782) (-631.905) -- 0:01:53
738000 -- (-620.226) (-620.026) [-593.670] (-624.908) * [-596.040] (-623.222) (-597.345) (-627.376) -- 0:01:53
739000 -- (-622.954) (-621.528) [-590.593] (-635.173) * [-599.316] (-632.840) (-591.894) (-624.142) -- 0:01:53
740000 -- (-618.257) (-618.028) [-590.566] (-619.941) * [-594.310] (-628.335) (-592.924) (-627.792) -- 0:01:52
Average standard deviation of split frequencies: 0.008737
741000 -- (-618.815) (-618.882) [-593.462] (-617.634) * (-597.565) (-629.038) [-594.400] (-637.379) -- 0:01:52
742000 -- (-611.478) (-611.193) [-594.652] (-621.137) * (-615.292) (-631.746) [-590.456] (-625.223) -- 0:01:51
743000 -- (-620.137) (-616.918) [-594.327] (-623.259) * (-602.918) (-626.727) [-599.523] (-630.550) -- 0:01:51
744000 -- (-620.135) (-615.682) [-593.345] (-612.906) * [-595.042] (-637.008) (-597.936) (-627.521) -- 0:01:50
745000 -- (-624.072) (-627.519) [-592.730] (-613.129) * [-601.254] (-631.716) (-609.363) (-622.452) -- 0:01:50
Average standard deviation of split frequencies: 0.008981
746000 -- (-625.212) (-618.297) [-592.933] (-622.940) * (-608.479) (-628.701) [-601.188] (-634.243) -- 0:01:49
747000 -- (-616.252) (-627.325) [-599.780] (-619.884) * (-596.275) (-634.299) [-599.301] (-630.715) -- 0:01:49
748000 -- (-612.311) (-615.525) [-605.117] (-620.634) * (-597.939) (-623.218) [-605.383] (-629.483) -- 0:01:49
749000 -- (-613.010) (-617.688) [-595.807] (-617.516) * [-586.554] (-636.567) (-601.991) (-631.740) -- 0:01:48
750000 -- (-616.771) (-613.364) [-595.609] (-615.188) * (-599.112) (-634.370) [-589.265] (-632.483) -- 0:01:48
Average standard deviation of split frequencies: 0.008697
751000 -- (-615.312) (-625.565) [-590.510] (-625.792) * (-597.281) (-629.531) [-593.888] (-630.416) -- 0:01:47
752000 -- (-616.717) (-616.480) [-595.331] (-617.093) * [-597.440] (-622.013) (-603.051) (-623.831) -- 0:01:47
753000 -- (-620.524) (-618.554) [-596.952] (-622.832) * [-589.794] (-627.165) (-599.788) (-629.444) -- 0:01:46
754000 -- (-612.453) (-613.992) [-596.005] (-628.150) * (-603.736) (-631.814) [-599.738] (-625.976) -- 0:01:46
755000 -- (-617.494) (-614.111) [-594.067] (-615.877) * (-597.295) (-629.177) [-595.858] (-637.779) -- 0:01:46
Average standard deviation of split frequencies: 0.008862
756000 -- (-626.280) (-628.206) [-596.143] (-619.668) * (-608.397) (-623.394) [-595.747] (-623.635) -- 0:01:45
757000 -- (-627.738) (-619.903) [-589.889] (-614.861) * (-596.343) (-621.215) [-595.021] (-626.424) -- 0:01:45
758000 -- (-625.785) (-623.170) [-596.239] (-622.014) * [-601.596] (-619.653) (-609.365) (-627.362) -- 0:01:44
759000 -- (-621.739) (-622.775) [-597.062] (-623.012) * [-593.516] (-625.181) (-602.576) (-620.518) -- 0:01:44
760000 -- (-621.314) (-618.610) [-593.074] (-612.476) * [-595.078] (-629.739) (-600.520) (-634.619) -- 0:01:43
Average standard deviation of split frequencies: 0.008676
761000 -- (-614.744) (-620.499) [-597.939] (-625.772) * (-598.374) (-619.813) [-603.556] (-631.455) -- 0:01:43
762000 -- (-623.962) (-623.800) [-592.409] (-620.429) * [-597.790] (-625.379) (-603.788) (-626.478) -- 0:01:43
763000 -- (-617.805) (-625.568) [-600.079] (-618.093) * [-597.520] (-629.212) (-609.439) (-628.016) -- 0:01:42
764000 -- (-616.124) (-614.865) [-591.913] (-616.198) * [-596.698] (-625.409) (-607.684) (-627.798) -- 0:01:42
765000 -- (-628.606) (-611.975) [-591.835] (-615.153) * [-589.052] (-629.702) (-593.395) (-629.789) -- 0:01:41
Average standard deviation of split frequencies: 0.008728
766000 -- (-614.490) (-624.512) [-596.280] (-611.272) * [-597.235] (-626.710) (-599.200) (-626.114) -- 0:01:41
767000 -- (-627.664) (-619.373) [-598.081] (-617.127) * [-591.768] (-627.805) (-604.261) (-624.560) -- 0:01:40
768000 -- (-619.720) (-617.499) [-597.704] (-614.127) * [-594.697] (-627.670) (-598.331) (-625.380) -- 0:01:40
769000 -- (-620.251) (-622.546) [-591.647] (-617.529) * [-599.197] (-628.167) (-592.940) (-641.015) -- 0:01:40
770000 -- (-614.880) (-617.850) [-599.812] (-617.678) * (-597.953) (-634.317) [-594.832] (-621.891) -- 0:01:39
Average standard deviation of split frequencies: 0.008489
771000 -- (-615.554) (-618.492) [-587.304] (-619.055) * (-603.943) (-628.854) [-602.655] (-623.931) -- 0:01:39
772000 -- (-612.077) (-623.998) [-588.934] (-626.197) * (-604.415) (-632.560) [-591.817] (-624.789) -- 0:01:38
773000 -- (-627.634) (-620.852) [-595.331] (-618.774) * (-620.751) (-624.726) [-594.774] (-631.096) -- 0:01:38
774000 -- (-623.361) (-621.695) [-589.718] (-616.090) * [-600.740] (-630.026) (-602.245) (-619.953) -- 0:01:37
775000 -- (-625.644) (-614.658) [-592.377] (-616.490) * [-594.256] (-639.515) (-593.672) (-629.698) -- 0:01:37
Average standard deviation of split frequencies: 0.008376
776000 -- (-609.316) (-620.500) [-603.185] (-625.152) * (-598.262) (-633.153) [-592.374] (-637.369) -- 0:01:36
777000 -- (-618.295) (-621.578) [-596.169] (-617.815) * [-595.140] (-626.211) (-595.934) (-622.803) -- 0:01:36
778000 -- (-620.087) (-627.738) [-607.161] (-614.773) * [-596.852] (-625.489) (-600.568) (-619.764) -- 0:01:36
779000 -- (-618.414) (-622.599) [-607.957] (-624.134) * [-596.136] (-624.027) (-598.889) (-625.540) -- 0:01:35
780000 -- (-615.283) (-616.233) [-590.927] (-617.779) * [-597.861] (-632.038) (-592.808) (-624.424) -- 0:01:35
Average standard deviation of split frequencies: 0.008472
781000 -- (-613.955) (-623.893) [-597.761] (-627.361) * [-602.660] (-626.367) (-598.314) (-618.587) -- 0:01:34
782000 -- (-612.030) (-621.514) [-592.265] (-621.018) * [-592.849] (-622.983) (-602.068) (-626.185) -- 0:01:34
783000 -- (-619.758) (-622.892) [-601.347] (-619.579) * (-594.694) (-623.949) [-597.613] (-620.748) -- 0:01:33
784000 -- (-614.814) (-619.759) [-594.370] (-615.573) * (-622.220) (-628.991) [-597.865] (-634.646) -- 0:01:33
785000 -- (-617.048) (-621.497) [-590.984] (-619.930) * (-619.230) (-627.438) [-594.165] (-629.231) -- 0:01:33
Average standard deviation of split frequencies: 0.008506
786000 -- (-623.936) (-626.165) [-598.965] (-613.265) * (-611.558) (-629.949) [-594.986] (-628.935) -- 0:01:32
787000 -- (-623.291) (-614.916) [-602.214] (-613.571) * (-624.880) (-630.805) [-595.929] (-623.465) -- 0:01:32
788000 -- (-621.789) (-615.450) [-596.881] (-627.009) * (-619.083) (-624.020) [-591.077] (-634.497) -- 0:01:31
789000 -- (-612.376) (-616.741) [-592.792] (-616.794) * (-617.599) (-630.369) [-594.760] (-630.341) -- 0:01:31
790000 -- (-617.407) (-622.262) [-594.307] (-629.536) * (-624.139) (-624.042) [-590.977] (-621.168) -- 0:01:30
Average standard deviation of split frequencies: 0.008654
791000 -- (-617.964) (-614.653) [-596.509] (-624.873) * (-627.749) (-625.721) [-594.663] (-622.739) -- 0:01:30
792000 -- (-616.447) (-618.169) [-588.895] (-615.853) * (-621.288) (-627.497) [-598.343] (-620.185) -- 0:01:30
793000 -- (-624.309) (-622.838) [-593.431] (-617.151) * (-613.304) (-616.497) [-595.874] (-619.824) -- 0:01:29
794000 -- (-617.657) (-622.107) [-591.567] (-618.632) * (-619.724) (-620.953) [-590.704] (-627.604) -- 0:01:28
795000 -- (-616.004) (-619.520) [-594.600] (-615.841) * (-615.099) (-631.959) [-597.299] (-615.530) -- 0:01:28
Average standard deviation of split frequencies: 0.008650
796000 -- (-617.258) (-627.479) [-592.685] (-623.542) * (-611.730) (-624.641) [-595.478] (-619.845) -- 0:01:28
797000 -- (-627.063) (-616.281) [-596.184] (-613.469) * (-611.402) (-626.523) [-596.007] (-620.459) -- 0:01:27
798000 -- (-615.219) (-628.729) [-593.286] (-621.536) * (-616.889) (-623.936) [-593.222] (-615.432) -- 0:01:27
799000 -- (-619.584) (-607.312) [-597.820] (-626.087) * (-613.146) (-621.996) [-593.417] (-620.443) -- 0:01:27
800000 -- (-617.937) (-632.443) [-596.053] (-618.141) * (-615.704) (-629.228) [-598.040] (-623.616) -- 0:01:26
Average standard deviation of split frequencies: 0.008385
801000 -- (-616.120) (-624.556) [-593.442] (-626.383) * (-623.619) (-638.008) [-601.244] (-620.239) -- 0:01:25
802000 -- (-618.732) (-620.292) [-597.396] (-610.886) * (-619.097) (-635.932) [-596.487] (-618.055) -- 0:01:25
803000 -- (-620.927) (-621.041) [-595.496] (-613.445) * (-623.662) (-628.324) [-595.257] (-616.969) -- 0:01:25
804000 -- (-615.417) (-616.468) [-597.863] (-625.690) * (-618.766) (-621.239) [-595.482] (-620.582) -- 0:01:24
805000 -- (-621.109) (-616.739) [-601.561] (-614.351) * (-617.338) (-626.169) [-598.533] (-625.626) -- 0:01:24
Average standard deviation of split frequencies: 0.008525
806000 -- (-622.102) (-614.127) [-599.149] (-615.753) * (-615.340) (-628.276) [-595.562] (-623.571) -- 0:01:23
807000 -- (-626.110) (-620.258) [-598.549] (-619.085) * (-623.345) (-621.186) [-598.428] (-618.408) -- 0:01:23
808000 -- (-618.616) (-619.948) [-592.506] (-623.365) * (-614.344) (-633.042) [-592.550] (-626.582) -- 0:01:22
809000 -- (-616.273) (-625.598) [-593.787] (-621.125) * (-619.456) (-628.362) [-600.753] (-615.030) -- 0:01:22
810000 -- (-623.256) (-636.890) [-598.015] (-620.624) * (-626.573) (-629.566) [-596.349] (-612.680) -- 0:01:22
Average standard deviation of split frequencies: 0.008476
811000 -- (-620.842) (-630.619) [-587.654] (-618.021) * (-622.360) (-630.074) [-599.027] (-618.529) -- 0:01:21
812000 -- (-630.258) (-624.981) [-594.085] (-620.730) * (-631.475) (-635.210) [-586.680] (-629.673) -- 0:01:21
813000 -- (-625.182) (-615.299) [-592.807] (-621.736) * (-613.353) (-621.837) [-599.676] (-622.781) -- 0:01:20
814000 -- (-620.614) (-616.349) [-593.861] (-623.729) * (-617.297) (-626.542) [-596.399] (-626.137) -- 0:01:20
815000 -- (-617.054) (-618.084) [-599.483] (-628.600) * (-619.390) (-629.066) [-596.749] (-619.953) -- 0:01:19
Average standard deviation of split frequencies: 0.008158
816000 -- (-615.320) (-626.327) [-596.837] (-617.563) * (-615.402) (-622.813) [-603.922] (-624.762) -- 0:01:19
817000 -- (-623.094) (-620.711) [-594.815] (-616.453) * (-615.212) (-639.567) [-595.773] (-609.574) -- 0:01:19
818000 -- (-622.217) (-623.618) [-596.327] (-615.855) * (-609.840) (-630.378) [-597.504] (-619.953) -- 0:01:18
819000 -- (-630.065) (-617.221) [-598.337] (-612.123) * (-618.016) (-623.733) [-595.407] (-622.083) -- 0:01:18
820000 -- (-612.793) (-620.864) [-598.401] (-614.124) * (-615.589) (-628.247) [-595.035] (-624.614) -- 0:01:17
Average standard deviation of split frequencies: 0.008216
821000 -- (-623.262) (-618.198) [-593.327] (-622.896) * (-618.227) (-626.019) [-598.349] (-617.049) -- 0:01:17
822000 -- (-624.278) (-613.288) [-597.445] (-617.153) * (-617.601) (-630.902) [-600.614] (-616.376) -- 0:01:16
823000 -- (-624.427) (-621.237) [-593.268] (-615.270) * (-612.323) (-620.742) [-600.206] (-618.543) -- 0:01:16
824000 -- (-617.863) (-626.794) [-591.540] (-620.757) * (-613.169) (-620.455) [-594.859] (-627.644) -- 0:01:16
825000 -- (-611.308) (-619.655) [-592.532] (-616.634) * (-615.975) (-622.614) [-593.796] (-620.175) -- 0:01:15
Average standard deviation of split frequencies: 0.008107
826000 -- (-624.061) (-621.538) [-593.197] (-614.450) * (-614.775) (-625.141) [-604.899] (-618.397) -- 0:01:15
827000 -- (-620.413) (-618.757) [-596.157] (-616.341) * (-619.552) (-624.086) [-602.150] (-621.979) -- 0:01:14
828000 -- (-620.252) (-620.881) [-593.656] (-617.462) * (-611.037) (-629.802) [-595.514] (-624.335) -- 0:01:14
829000 -- (-625.793) (-617.568) [-595.049] (-620.017) * (-619.599) (-627.131) [-593.530] (-617.649) -- 0:01:13
830000 -- (-613.524) (-626.216) [-590.271] (-622.917) * (-617.737) (-623.246) [-595.450] (-621.674) -- 0:01:13
Average standard deviation of split frequencies: 0.008028
831000 -- (-626.912) (-616.883) [-598.116] (-620.431) * (-620.842) (-625.720) [-594.930] (-623.291) -- 0:01:13
832000 -- (-617.309) (-622.243) [-595.073] (-615.167) * (-616.194) (-622.862) [-596.536] (-625.857) -- 0:01:12
833000 -- (-615.574) (-617.094) [-598.803] (-622.376) * (-622.345) (-625.191) [-592.752] (-616.765) -- 0:01:12
834000 -- (-619.687) (-619.389) [-591.626] (-620.088) * (-617.902) (-632.697) [-593.465] (-619.040) -- 0:01:11
835000 -- (-620.449) (-617.820) [-592.794] (-636.329) * (-622.699) (-622.086) [-596.306] (-622.970) -- 0:01:11
Average standard deviation of split frequencies: 0.007977
836000 -- (-612.935) (-616.778) [-599.250] (-617.445) * (-629.440) (-626.977) [-589.701] (-623.338) -- 0:01:10
837000 -- (-614.699) (-623.855) [-595.079] (-621.302) * (-628.712) (-635.917) [-598.803] (-612.870) -- 0:01:10
838000 -- (-621.972) (-625.065) [-595.802] (-620.509) * (-617.785) (-623.461) [-599.338] (-625.878) -- 0:01:09
839000 -- (-620.689) (-619.511) [-591.274] (-621.229) * (-621.282) (-630.365) [-591.399] (-617.250) -- 0:01:09
840000 -- (-629.321) (-623.822) [-591.703] (-618.035) * (-623.921) (-627.967) [-592.078] (-614.009) -- 0:01:09
Average standard deviation of split frequencies: 0.007883
841000 -- (-619.088) (-618.403) [-596.815] (-617.429) * (-621.265) (-620.346) [-594.053] (-623.710) -- 0:01:08
842000 -- (-610.610) (-619.027) [-589.317] (-622.180) * (-623.438) (-626.928) [-593.650] (-616.431) -- 0:01:08
843000 -- (-620.837) (-617.085) [-590.167] (-630.161) * (-627.683) (-630.072) [-593.469] (-618.420) -- 0:01:07
844000 -- (-616.101) (-621.458) [-595.043] (-621.006) * (-630.482) (-628.865) [-588.403] (-622.485) -- 0:01:07
845000 -- (-614.924) (-609.023) [-594.197] (-615.934) * (-621.805) (-620.141) [-589.942] (-617.866) -- 0:01:06
Average standard deviation of split frequencies: 0.008030
846000 -- (-613.717) (-626.604) [-596.609] (-617.122) * (-623.745) (-619.340) [-595.690] (-618.027) -- 0:01:06
847000 -- (-631.233) (-613.278) [-595.405] (-621.936) * (-628.186) (-617.385) [-593.662] (-617.696) -- 0:01:06
848000 -- (-619.038) (-621.118) [-592.948] (-613.651) * (-619.503) (-628.408) [-601.668] (-613.763) -- 0:01:05
849000 -- (-618.380) (-616.783) [-589.351] (-621.018) * (-618.666) (-621.110) [-592.571] (-611.786) -- 0:01:05
850000 -- (-612.363) (-612.640) [-590.679] (-617.270) * (-615.647) (-623.817) [-594.012] (-615.875) -- 0:01:04
Average standard deviation of split frequencies: 0.007708
851000 -- (-619.587) (-627.425) [-585.167] (-618.797) * (-628.268) (-615.174) [-596.184] (-627.490) -- 0:01:04
852000 -- (-618.864) (-614.571) [-591.356] (-620.866) * (-625.645) (-623.567) [-595.047] (-616.967) -- 0:01:03
853000 -- (-614.737) (-616.395) [-594.906] (-618.461) * (-615.341) (-628.770) [-598.820] (-622.726) -- 0:01:03
854000 -- (-623.661) (-624.526) [-589.456] (-625.450) * (-613.803) (-623.270) [-596.338] (-620.880) -- 0:01:03
855000 -- (-613.139) (-623.182) [-590.954] (-621.606) * (-620.875) (-619.932) [-592.194] (-619.521) -- 0:01:02
Average standard deviation of split frequencies: 0.007643
856000 -- (-615.437) (-618.368) [-592.255] (-615.366) * (-623.118) (-611.949) [-597.866] (-620.153) -- 0:01:02
857000 -- (-619.678) (-623.593) [-595.127] (-623.902) * (-617.926) (-627.926) [-596.588] (-613.743) -- 0:01:01
858000 -- (-623.385) (-621.835) [-597.351] (-624.833) * (-619.450) (-618.943) [-598.166] (-622.867) -- 0:01:01
859000 -- (-624.894) (-624.931) [-595.745] (-618.359) * (-622.540) (-618.571) [-590.835] (-625.188) -- 0:01:00
860000 -- (-615.094) (-623.827) [-589.916] (-618.061) * (-616.074) (-617.458) [-589.495] (-620.516) -- 0:01:00
Average standard deviation of split frequencies: 0.007701
861000 -- (-613.134) (-624.146) [-589.486] (-634.654) * (-612.173) (-622.301) [-597.177] (-617.252) -- 0:01:00
862000 -- (-617.018) (-622.389) [-593.662] (-619.580) * (-622.991) (-616.267) [-597.689] (-623.489) -- 0:00:59
863000 -- (-613.099) (-618.414) [-598.457] (-624.951) * (-623.605) (-614.098) [-593.173] (-625.619) -- 0:00:59
864000 -- (-621.202) (-611.816) [-594.752] (-618.991) * (-620.205) (-619.397) [-591.600] (-619.407) -- 0:00:58
865000 -- (-614.894) (-617.357) [-598.476] (-615.807) * (-623.313) (-615.301) [-594.181] (-620.880) -- 0:00:58
Average standard deviation of split frequencies: 0.007406
866000 -- (-621.228) (-616.297) [-596.968] (-614.204) * (-609.999) (-617.176) [-596.056] (-622.718) -- 0:00:57
867000 -- (-616.294) (-619.617) [-600.002] (-615.869) * (-617.193) (-619.253) [-599.330] (-615.773) -- 0:00:57
868000 -- (-617.322) (-615.027) [-591.958] (-621.563) * (-618.000) (-627.468) [-602.629] (-623.869) -- 0:00:57
869000 -- (-614.963) (-621.131) [-598.442] (-622.258) * (-622.082) (-620.474) [-599.255] (-625.842) -- 0:00:56
870000 -- (-621.269) (-626.845) [-600.475] (-621.208) * (-620.702) (-623.048) [-594.436] (-614.659) -- 0:00:56
Average standard deviation of split frequencies: 0.007449
871000 -- (-619.950) (-619.971) [-598.008] (-615.764) * (-618.818) (-620.026) [-591.240] (-620.239) -- 0:00:55
872000 -- (-629.387) (-621.315) [-601.774] (-617.839) * (-610.690) (-619.893) [-591.651] (-623.699) -- 0:00:55
873000 -- (-621.056) (-618.942) [-596.139] (-618.542) * (-613.445) (-620.449) [-593.519] (-614.156) -- 0:00:54
874000 -- (-623.634) (-616.466) [-593.936] (-626.516) * (-615.954) (-611.499) [-598.249] (-621.144) -- 0:00:54
875000 -- (-628.015) (-625.143) [-595.396] (-629.376) * (-614.155) (-622.483) [-595.567] (-618.149) -- 0:00:54
Average standard deviation of split frequencies: 0.007420
876000 -- (-618.876) (-619.015) [-596.183] (-617.411) * (-631.690) (-623.808) [-598.641] (-623.623) -- 0:00:53
877000 -- (-632.551) (-623.526) [-598.482] (-618.999) * (-626.882) (-625.523) [-592.875] (-620.258) -- 0:00:53
878000 -- (-634.349) (-613.791) [-597.051] (-628.034) * (-622.221) (-627.099) [-593.527] (-617.863) -- 0:00:52
879000 -- (-616.411) (-621.743) [-594.687] (-614.782) * (-616.585) (-618.883) [-590.864] (-623.380) -- 0:00:52
880000 -- (-614.313) (-620.167) [-599.000] (-613.594) * (-627.393) (-631.081) [-604.092] (-621.877) -- 0:00:51
Average standard deviation of split frequencies: 0.007526
881000 -- (-625.023) (-613.591) [-595.498] (-624.351) * (-623.831) (-626.464) [-595.724] (-627.276) -- 0:00:51
882000 -- (-615.789) (-615.771) [-591.238] (-609.863) * (-616.990) (-613.172) [-606.290] (-621.986) -- 0:00:50
883000 -- (-619.320) (-624.835) [-590.188] (-623.291) * (-610.839) (-622.311) [-592.183] (-620.075) -- 0:00:50
884000 -- (-616.588) (-618.736) [-591.694] (-629.498) * (-619.289) (-614.067) [-598.106] (-632.361) -- 0:00:49
885000 -- (-613.632) (-620.748) [-599.768] (-614.803) * (-609.988) (-620.455) [-595.147] (-630.425) -- 0:00:49
Average standard deviation of split frequencies: 0.007239
886000 -- (-626.836) (-617.286) [-597.156] (-614.448) * (-610.322) (-628.281) [-595.941] (-623.040) -- 0:00:49
887000 -- (-627.850) (-619.062) [-590.593] (-613.840) * (-619.394) (-621.483) [-599.312] (-624.265) -- 0:00:48
888000 -- (-620.518) (-618.341) [-598.083] (-614.560) * (-620.371) (-617.344) [-591.943] (-626.334) -- 0:00:48
889000 -- (-621.200) (-622.804) [-603.268] (-621.910) * (-620.114) (-616.814) [-599.374] (-628.301) -- 0:00:47
890000 -- (-620.501) (-624.138) [-593.892] (-616.600) * (-617.148) (-620.825) [-594.442] (-618.017) -- 0:00:47
Average standard deviation of split frequencies: 0.007153
891000 -- (-618.149) (-618.795) [-596.203] (-619.028) * (-614.519) (-622.138) [-594.019] (-622.102) -- 0:00:46
892000 -- (-629.665) (-633.401) [-596.133] (-624.789) * (-625.797) (-615.234) [-593.319] (-619.023) -- 0:00:46
893000 -- (-625.148) (-619.694) [-598.886] (-616.444) * (-611.000) (-621.535) [-592.962] (-621.229) -- 0:00:46
894000 -- (-625.213) (-618.165) [-602.260] (-620.020) * (-622.491) (-624.674) [-591.300] (-623.741) -- 0:00:45
895000 -- (-614.908) (-615.896) [-598.270] (-615.903) * (-634.292) (-628.238) [-594.878] (-629.497) -- 0:00:45
Average standard deviation of split frequencies: 0.007206
896000 -- (-624.852) (-616.483) [-594.201] (-616.084) * (-624.054) (-623.313) [-595.197] (-623.226) -- 0:00:44
897000 -- (-611.087) (-616.329) [-589.856] (-613.319) * (-621.057) (-614.951) [-594.954] (-612.492) -- 0:00:44
898000 -- (-615.497) (-615.788) [-593.914] (-609.355) * (-615.723) (-627.448) [-593.727] (-626.745) -- 0:00:43
899000 -- (-629.594) (-616.737) [-594.803] (-630.994) * (-620.596) (-616.217) [-594.763] (-628.287) -- 0:00:43
900000 -- (-624.767) (-614.867) [-594.033] (-617.854) * (-619.936) (-624.293) [-595.121] (-616.604) -- 0:00:43
Average standard deviation of split frequencies: 0.007423
901000 -- (-620.565) (-619.908) [-593.878] (-619.687) * (-613.433) (-620.502) [-595.112] (-608.993) -- 0:00:42
902000 -- (-632.246) (-616.640) [-592.776] (-627.378) * (-620.645) (-619.053) [-593.721] (-613.269) -- 0:00:42
903000 -- (-621.889) (-622.694) [-597.827] (-621.460) * (-627.716) (-628.511) [-596.962] (-622.011) -- 0:00:41
904000 -- (-618.867) (-621.400) [-595.398] (-622.013) * (-616.657) (-619.195) [-589.879] (-619.523) -- 0:00:41
905000 -- (-622.354) (-613.970) [-594.634] (-629.617) * (-640.794) (-617.258) [-601.641] (-623.605) -- 0:00:40
Average standard deviation of split frequencies: 0.007269
906000 -- (-621.355) (-628.742) [-589.989] (-617.736) * (-626.141) (-620.281) [-597.481] (-621.171) -- 0:00:40
907000 -- (-612.381) (-618.601) [-591.654] (-618.430) * (-621.652) (-622.040) [-596.722] (-614.455) -- 0:00:40
908000 -- (-618.831) (-616.014) [-593.190] (-625.401) * (-622.671) (-624.295) [-599.598] (-606.578) -- 0:00:39
909000 -- (-622.989) (-612.119) [-595.458] (-614.146) * (-624.400) (-624.717) [-589.389] (-615.080) -- 0:00:39
910000 -- (-626.288) (-616.143) [-597.649] (-617.076) * (-626.446) (-630.812) [-597.728] (-619.445) -- 0:00:38
Average standard deviation of split frequencies: 0.007310
911000 -- (-608.411) (-614.859) [-594.522] (-618.901) * (-620.079) (-619.710) [-594.152] (-617.448) -- 0:00:38
912000 -- (-636.078) (-627.523) [-595.020] (-617.359) * (-623.972) (-621.455) [-597.013] (-612.874) -- 0:00:37
913000 -- (-612.808) (-618.049) [-591.602] (-631.984) * (-628.663) (-632.290) [-597.571] (-616.699) -- 0:00:37
914000 -- (-618.206) (-617.282) [-595.201] (-626.226) * (-626.497) (-623.400) [-593.022] (-624.042) -- 0:00:37
915000 -- (-614.417) (-622.762) [-593.567] (-611.744) * (-617.313) (-622.933) [-593.348] (-630.866) -- 0:00:36
Average standard deviation of split frequencies: 0.007345
916000 -- (-623.076) (-619.951) [-596.861] (-622.597) * (-626.389) (-624.643) [-596.684] (-618.822) -- 0:00:36
917000 -- (-611.659) (-615.613) [-592.265] (-618.459) * (-628.654) (-618.832) [-592.538] (-623.224) -- 0:00:35
918000 -- (-614.670) (-617.466) [-591.313] (-624.316) * (-615.340) (-616.381) [-595.982] (-623.815) -- 0:00:35
919000 -- (-628.357) (-612.958) [-594.564] (-617.955) * (-619.904) (-615.556) [-596.008] (-622.852) -- 0:00:34
920000 -- (-629.887) (-621.086) [-596.050] (-626.265) * (-616.187) (-613.843) [-592.919] (-624.110) -- 0:00:34
Average standard deviation of split frequencies: 0.007277
921000 -- (-617.468) (-616.803) [-599.027] (-629.845) * (-616.724) (-623.210) [-598.016] (-627.442) -- 0:00:34
922000 -- (-620.182) (-616.786) [-597.138] (-616.512) * (-623.323) (-616.793) [-600.377] (-625.419) -- 0:00:33
923000 -- (-616.197) (-629.370) [-597.749] (-625.970) * (-616.998) (-612.311) [-594.612] (-625.660) -- 0:00:33
924000 -- (-620.860) (-620.787) [-606.720] (-621.404) * (-620.727) (-611.764) [-592.445] (-618.252) -- 0:00:32
925000 -- (-623.437) (-624.483) [-601.948] (-619.397) * (-621.515) (-618.708) [-592.246] (-626.542) -- 0:00:32
Average standard deviation of split frequencies: 0.007081
926000 -- (-619.526) (-607.893) [-585.787] (-620.070) * (-626.334) (-616.863) [-590.995] (-619.308) -- 0:00:31
927000 -- (-618.106) (-616.990) [-604.743] (-614.973) * (-614.649) (-612.069) [-595.592] (-622.449) -- 0:00:31
928000 -- (-634.930) (-618.777) [-592.580] (-616.799) * (-620.729) (-616.171) [-594.161] (-618.183) -- 0:00:31
929000 -- (-626.064) (-623.224) [-601.328] (-614.728) * (-622.546) (-620.179) [-591.677] (-641.473) -- 0:00:30
930000 -- (-613.489) (-614.010) [-592.978] (-619.239) * (-621.863) (-623.023) [-592.406] (-617.892) -- 0:00:30
Average standard deviation of split frequencies: 0.006907
931000 -- (-621.023) (-619.002) [-597.358] (-612.479) * (-618.134) (-627.994) [-595.850] (-627.801) -- 0:00:29
932000 -- (-617.735) (-619.816) [-592.687] (-620.981) * (-613.906) (-617.966) [-595.845] (-615.306) -- 0:00:29
933000 -- (-625.000) (-622.898) [-593.429] (-617.977) * (-614.727) (-623.085) [-601.856] (-614.357) -- 0:00:28
934000 -- (-622.172) (-610.800) [-598.027] (-624.117) * (-618.847) (-620.922) [-594.353] (-625.801) -- 0:00:28
935000 -- (-616.209) (-624.816) [-593.971] (-621.396) * (-622.127) (-617.846) [-595.546] (-619.681) -- 0:00:28
Average standard deviation of split frequencies: 0.006914
936000 -- (-618.188) (-616.042) [-592.021] (-637.503) * (-616.873) (-613.933) [-600.936] (-613.324) -- 0:00:27
937000 -- (-608.626) (-611.904) [-598.342] (-625.570) * (-611.911) (-619.312) [-598.566] (-617.237) -- 0:00:27
938000 -- (-622.205) (-620.011) [-598.053] (-611.110) * (-621.618) (-612.427) [-589.762] (-618.955) -- 0:00:26
939000 -- (-613.310) (-624.982) [-591.491] (-621.765) * (-621.336) (-617.367) [-591.193] (-627.457) -- 0:00:26
940000 -- (-614.188) (-623.670) [-595.084] (-624.734) * (-620.023) (-617.030) [-593.235] (-625.922) -- 0:00:25
Average standard deviation of split frequencies: 0.006940
941000 -- (-611.551) (-617.882) [-595.979] (-625.666) * (-616.979) (-612.120) [-592.720] (-621.141) -- 0:00:25
942000 -- (-615.139) (-623.773) [-594.103] (-620.085) * (-627.976) (-618.331) [-591.555] (-625.170) -- 0:00:24
943000 -- (-622.873) (-630.751) [-594.614] (-623.877) * (-619.649) (-613.681) [-600.854] (-619.982) -- 0:00:24
944000 -- (-617.102) (-617.586) [-601.178] (-623.205) * (-617.737) (-622.053) [-592.654] (-619.024) -- 0:00:24
945000 -- (-616.767) (-622.180) [-601.411] (-625.504) * (-621.053) (-620.930) [-592.182] (-621.105) -- 0:00:23
Average standard deviation of split frequencies: 0.006750
946000 -- (-616.024) (-618.156) [-594.669] (-618.094) * (-624.615) (-629.931) [-591.918] (-622.819) -- 0:00:23
947000 -- (-630.379) (-631.350) [-593.553] (-629.840) * (-628.201) (-619.892) [-592.756] (-618.313) -- 0:00:22
948000 -- (-626.031) (-610.697) [-592.754] (-627.299) * (-626.103) (-614.865) [-590.811] (-630.396) -- 0:00:22
949000 -- (-621.477) (-617.981) [-595.089] (-619.133) * (-619.410) (-622.178) [-592.264] (-612.442) -- 0:00:21
950000 -- (-625.701) (-626.859) [-599.732] (-621.422) * (-628.064) (-624.467) [-598.260] (-616.548) -- 0:00:21
Average standard deviation of split frequencies: 0.006627
951000 -- (-625.397) (-617.564) [-597.263] (-618.148) * (-622.615) (-622.656) [-596.526] (-612.772) -- 0:00:21
952000 -- (-628.243) (-621.461) [-597.202] (-623.712) * (-620.396) (-628.197) [-593.555] (-614.024) -- 0:00:20
953000 -- (-611.502) (-624.536) [-595.537] (-620.560) * (-630.797) (-625.213) [-593.101] (-623.251) -- 0:00:20
954000 -- (-619.205) (-621.282) [-596.020] (-620.931) * (-635.216) (-623.918) [-595.136] (-621.823) -- 0:00:19
955000 -- (-615.586) (-618.118) [-594.082] (-628.813) * (-629.864) (-619.924) [-593.073] (-625.058) -- 0:00:19
Average standard deviation of split frequencies: 0.006590
956000 -- (-621.107) (-624.896) [-597.783] (-617.094) * (-634.264) (-620.569) [-596.323] (-623.423) -- 0:00:18
957000 -- (-618.705) (-624.928) [-591.871] (-617.818) * (-638.957) (-612.901) [-605.140] (-626.398) -- 0:00:18
958000 -- (-626.026) (-619.088) [-596.984] (-620.302) * (-619.853) (-612.358) [-603.436] (-628.823) -- 0:00:18
959000 -- (-618.460) (-616.416) [-596.631] (-619.805) * (-609.616) (-612.683) [-595.433] (-631.973) -- 0:00:17
960000 -- (-617.820) (-622.240) [-599.354] (-619.872) * (-621.716) (-618.277) [-601.408] (-626.477) -- 0:00:17
Average standard deviation of split frequencies: 0.006349
961000 -- (-618.523) (-624.327) [-594.716] (-621.460) * (-627.375) (-626.052) [-593.166] (-624.192) -- 0:00:16
962000 -- (-616.899) (-619.787) [-596.110] (-629.685) * (-616.298) (-631.391) [-592.510] (-617.361) -- 0:00:16
963000 -- (-618.687) (-614.692) [-589.555] (-621.119) * (-620.079) (-623.965) [-597.293] (-617.185) -- 0:00:15
964000 -- (-623.344) (-618.025) [-593.447] (-617.944) * (-627.114) (-626.608) [-596.124] (-615.781) -- 0:00:15
965000 -- (-616.602) (-612.626) [-603.337] (-617.031) * (-624.087) (-622.513) [-597.408] (-620.266) -- 0:00:15
Average standard deviation of split frequencies: 0.006196
966000 -- (-623.624) (-612.167) [-604.077] (-615.581) * (-632.174) (-619.509) [-597.370] (-612.702) -- 0:00:14
967000 -- (-616.018) (-618.956) [-598.175] (-624.263) * (-634.369) (-620.282) [-597.837] (-628.954) -- 0:00:14
968000 -- (-619.670) (-615.900) [-599.946] (-627.965) * (-620.496) (-614.444) [-593.522] (-623.029) -- 0:00:13
969000 -- (-621.847) (-618.716) [-601.959] (-619.037) * (-621.631) (-616.685) [-597.390] (-631.223) -- 0:00:13
970000 -- (-620.761) (-618.654) [-594.527] (-626.972) * (-619.295) (-617.192) [-599.717] (-617.329) -- 0:00:12
Average standard deviation of split frequencies: 0.006122
971000 -- (-615.858) (-633.534) [-593.861] (-628.299) * (-623.044) (-614.847) [-588.152] (-631.752) -- 0:00:12
972000 -- (-623.823) (-624.026) [-600.093] (-617.035) * (-627.174) (-611.184) [-594.045] (-625.186) -- 0:00:12
973000 -- (-619.083) (-619.416) [-594.792] (-620.432) * (-621.146) (-619.899) [-595.815] (-625.073) -- 0:00:11
974000 -- (-625.260) (-611.529) [-600.199] (-615.786) * (-613.747) (-613.462) [-597.134] (-624.808) -- 0:00:11
975000 -- (-617.374) (-629.313) [-598.976] (-623.453) * (-616.965) (-615.676) [-597.487] (-634.350) -- 0:00:10
Average standard deviation of split frequencies: 0.006235
976000 -- (-611.575) (-621.379) [-592.175] (-630.923) * (-623.573) (-623.675) [-604.326] (-629.819) -- 0:00:10
977000 -- (-615.260) (-627.945) [-592.837] (-615.875) * (-617.742) (-614.389) [-592.563] (-623.058) -- 0:00:09
978000 -- (-610.672) (-616.076) [-591.536] (-624.547) * (-620.587) (-620.443) [-594.879] (-625.523) -- 0:00:09
979000 -- (-617.577) (-622.494) [-591.676] (-619.203) * (-623.280) (-614.806) [-591.359] (-610.920) -- 0:00:09
980000 -- (-620.221) (-612.486) [-594.540] (-623.453) * (-633.605) (-619.425) [-595.232] (-614.398) -- 0:00:08
Average standard deviation of split frequencies: 0.006118
981000 -- (-616.384) (-617.832) [-595.626] (-629.734) * (-621.997) (-609.990) [-598.377] (-616.733) -- 0:00:08
982000 -- (-624.788) (-619.350) [-588.735] (-621.771) * (-622.700) (-613.093) [-593.296] (-621.989) -- 0:00:07
983000 -- (-622.415) (-619.789) [-600.470] (-618.889) * (-626.011) (-620.892) [-592.175] (-622.614) -- 0:00:07
984000 -- (-624.389) (-613.339) [-599.116] (-617.657) * (-629.088) (-616.977) [-591.584] (-625.820) -- 0:00:06
985000 -- (-622.653) (-615.616) [-591.266] (-625.898) * (-625.164) (-626.516) [-594.082] (-626.346) -- 0:00:06
Average standard deviation of split frequencies: 0.006041
986000 -- (-617.077) (-614.667) [-596.113] (-626.154) * (-621.596) (-622.584) [-593.408] (-626.318) -- 0:00:06
987000 -- (-619.952) (-620.244) [-598.406] (-620.843) * (-620.921) (-614.487) [-593.427] (-625.362) -- 0:00:05
988000 -- (-613.719) (-623.883) [-594.228] (-632.220) * (-620.903) (-635.431) [-600.217] (-629.019) -- 0:00:05
989000 -- (-616.821) (-620.051) [-595.693] (-629.950) * (-614.152) (-624.062) [-593.143] (-624.853) -- 0:00:04
990000 -- (-614.443) (-620.419) [-596.747] (-625.168) * (-617.931) (-626.533) [-598.136] (-627.911) -- 0:00:04
Average standard deviation of split frequencies: 0.006244
991000 -- (-609.627) (-625.415) [-597.310] (-625.246) * (-619.407) (-619.644) [-595.780] (-626.910) -- 0:00:03
992000 -- (-614.064) (-623.262) [-594.745] (-617.693) * (-616.096) (-624.775) [-590.699] (-620.602) -- 0:00:03
993000 -- (-617.070) (-627.301) [-597.205] (-618.309) * (-612.416) (-622.995) [-599.086] (-632.159) -- 0:00:03
994000 -- (-615.479) (-620.053) [-593.385] (-623.804) * (-615.432) (-611.919) [-595.373] (-617.147) -- 0:00:02
995000 -- (-625.164) (-621.868) [-596.276] (-618.051) * (-618.385) (-621.077) [-591.111] (-619.022) -- 0:00:02
Average standard deviation of split frequencies: 0.006153
996000 -- (-619.686) (-613.858) [-590.808] (-618.526) * (-619.980) (-621.477) [-598.809] (-615.455) -- 0:00:01
997000 -- (-625.188) (-621.948) [-594.571] (-613.221) * (-619.604) (-612.718) [-592.897] (-627.117) -- 0:00:01
998000 -- (-619.520) (-619.370) [-594.416] (-623.231) * (-616.761) (-619.294) [-593.915] (-619.493) -- 0:00:00
999000 -- (-616.726) (-614.458) [-596.153] (-625.169) * (-616.990) (-623.176) [-595.666] (-622.619) -- 0:00:00
1000000 -- (-614.006) (-622.448) [-592.319] (-616.881) * (-622.971) (-623.073) [-593.227] (-648.266) -- 0:00:00
Average standard deviation of split frequencies: 0.006167
Analysis completed in 7 mins 10 seconds
Analysis used 429.21 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -582.73
Likelihood of best state for "cold" chain of run 2 was -583.84
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
67.9 % ( 67 %) Dirichlet(Revmat{all})
84.9 % ( 79 %) Slider(Revmat{all})
37.9 % ( 27 %) Dirichlet(Pi{all})
37.1 % ( 35 %) Slider(Pi{all})
81.7 % ( 70 %) Multiplier(Alpha{1,2})
73.1 % ( 36 %) Multiplier(Alpha{3})
87.1 % ( 64 %) Slider(Pinvar{all})
68.8 % ( 71 %) ExtSPR(Tau{all},V{all})
60.4 % ( 56 %) ExtTBR(Tau{all},V{all})
74.5 % ( 75 %) NNI(Tau{all},V{all})
51.5 % ( 48 %) ParsSPR(Tau{all},V{all})
27.7 % ( 32 %) Multiplier(V{all})
82.1 % ( 79 %) Nodeslider(V{all})
27.6 % ( 21 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
69.3 % ( 70 %) Dirichlet(Revmat{all})
84.7 % ( 83 %) Slider(Revmat{all})
37.1 % ( 24 %) Dirichlet(Pi{all})
37.0 % ( 33 %) Slider(Pi{all})
81.7 % ( 64 %) Multiplier(Alpha{1,2})
73.0 % ( 63 %) Multiplier(Alpha{3})
86.4 % ( 85 %) Slider(Pinvar{all})
69.0 % ( 73 %) ExtSPR(Tau{all},V{all})
60.8 % ( 68 %) ExtTBR(Tau{all},V{all})
74.6 % ( 76 %) NNI(Tau{all},V{all})
51.4 % ( 54 %) ParsSPR(Tau{all},V{all})
27.6 % ( 18 %) Multiplier(V{all})
82.3 % ( 84 %) Nodeslider(V{all})
27.8 % ( 25 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.09 0.00 0.00
2 | 166203 0.10 0.01
3 | 166579 166198 0.33
4 | 166588 167212 167220
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.15 0.00 0.00
2 | 165992 0.04 0.01
3 | 166915 167007 0.32
4 | 166344 167160 166582
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)
+------------------------------------------------------------+ -592.71
| 1 1 1 2 |
| 2 1 |
| 1 2 11 2 |
| 2 * 2 22 2 2 * |
| 1 1 11 2 22 1 212 |
|2 2 2 22 1 1 * 12 1 1 2 2|
| 2 1* 2 12 2 2 21 * 21 1 2 1 |
| *1 1 1 1 222 2* 1 2 2 1 2 1|
| 1 12 1 1 22 1 12 2 |
| 2 2 1 1 1 1 2 2 1 1 1 |
| 111 2 1 2 |
| 2 2 2 2 1 |
|1 1 |
| |
| 1 1 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -599.08
^ ^
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 -589.54 -605.15
2 -589.93 -606.17
--------------------------------------
TOTAL -589.71 -605.79
--------------------------------------
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} 0.078476 0.000589 0.037946 0.129316 0.074769 845.70 847.84 1.000
r(A<->C){all} 0.088002 0.003670 0.000601 0.202319 0.074698 176.78 230.83 1.004
r(A<->G){all} 0.210242 0.006594 0.057109 0.363295 0.199846 151.83 170.07 1.000
r(A<->T){all} 0.054851 0.001091 0.003111 0.115342 0.048935 265.36 273.80 1.000
r(C<->G){all} 0.068074 0.004021 0.000026 0.194790 0.049080 84.96 113.01 1.003
r(C<->T){all} 0.518761 0.010180 0.332527 0.717673 0.518872 137.30 150.51 1.001
r(G<->T){all} 0.060070 0.001955 0.000299 0.148668 0.048964 195.56 269.88 1.002
pi(A){all} 0.320324 0.000608 0.271798 0.368666 0.320245 837.93 893.46 1.000
pi(C){all} 0.134634 0.000318 0.100301 0.169285 0.133864 713.77 855.71 1.000
pi(G){all} 0.190718 0.000442 0.152745 0.234339 0.189361 688.72 750.68 1.000
pi(T){all} 0.354324 0.000656 0.306813 0.407215 0.353881 590.46 734.17 1.000
alpha{1,2} 0.553555 0.514096 0.000470 2.084553 0.279106 595.14 638.07 1.000
alpha{3} 1.365435 1.232903 0.002734 3.556780 1.099491 720.22 836.76 1.000
pinvar{all} 0.484314 0.051695 0.027943 0.824818 0.519032 302.86 309.64 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
Setting sumt conformat to Simple
Setting urn-in to 2500
Summarizing trees in files "/data/mrbayes_input.nex.run1.t" and "/data/mrbayes_input.nex.run2.t"
Using relative burnin ('relburnin=yes'), discarding the first 25 % of sampled trees
Writing statistics to files /data/mrbayes_input.nex.<parts|tstat|vstat|trprobs|con>
Examining first file ...
Found one tree block in file "/data/mrbayes_input.nex.run1.t" with 2001 trees in last block
Expecting the same number of trees in the last tree block of all files
Tree reading status:
0 10 20 30 40 50 60 70 80 90 100
v-------v-------v-------v-------v-------v-------v-------v-------v-------v-------v
*********************************************************************************
Read a total of 4002 trees in 2 files (sampling 3002 of them)
(Each file contained 2001 trees of which 1501 were sampled)
General explanation:
In an unrooted tree, a taxon bipartition (split) is specified by removing a
branch, thereby dividing the species into those to the left and those to the
right of the branch. Here, taxa to one side of the removed branch are denoted
'.' and those to the other side are denoted '*'. Specifically, the '.' symbol
is used for the taxa on the same side as the outgroup.
In a rooted or clock tree, the tree is rooted using the model and not by
reference to an outgroup. Each bipartition therefore corresponds to a clade,
that is, a group that includes all the descendants of a particular branch in
the tree. Taxa that are included in each clade are denoted using '*', and
taxa that are not included are denoted using the '.' symbol.
The output first includes a key to all the bipartitions with frequency larger
or equual to (Minpartfreq) in at least one run. Minpartfreq is a parameter to
sumt command and currently it is set to 0.10. This is followed by a table
with statistics for the informative bipartitions (those including at least
two taxa), sorted from highest to lowest probability. For each bipartition,
the table gives the number of times the partition or split was observed in all
runs (#obs) and the posterior probability of the bipartition (Probab.), which
is the same as the split frequency. If several runs are summarized, this is
followed by the minimum split frequency (Min(s)), the maximum frequency
(Max(s)), and the standard deviation of frequencies (Stddev(s)) across runs.
The latter value should approach 0 for all bipartitions as MCMC runs converge.
This is followed by a table summarizing branch lengths, node heights (if a
clock model was used) and relaxed clock parameters (if a relaxed clock model
was used). The mean, variance, and 95 % credible interval are given for each
of these parameters. If several runs are summarized, the potential scale
reduction factor (PSRF) is also given; it should approach 1 as runs converge.
Node heights will take calibration points into account, if such points were
used in the analysis.
Note that Stddev may be unreliable if the partition is not present in all
runs (the last column indicates the number of runs that sampled the partition
if more than one run is summarized). The PSRF is not calculated at all if
the partition is not present in all runs.The PSRF is also sensitive to small
sample sizes and it should only be considered a rough guide to convergence
since some of the assumptions allowing one to interpret it as a true potential
scale reduction factor are violated in MrBayes.
List of taxa in bipartitions:
1 -- C192
2 -- C256
3 -- C37
4 -- C101
5 -- C165
6 -- C191
7 -- C240
8 -- C276
9 -- C34
10 -- C49
11 -- C252
12 -- C13
13 -- C16
14 -- C178
15 -- C209
16 -- C213
17 -- C126
18 -- C219
19 -- C226
20 -- C254
21 -- C261
22 -- C265
23 -- C130
24 -- C131
25 -- C129
26 -- C22
27 -- C43
28 -- C2
29 -- C32
30 -- C33
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 -- ......*...*......*.*..........
------------------------------------
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 2996 0.998001 0.001884 0.996669 0.999334 2
33 2992 0.996669 0.000000 0.996669 0.996669 2
34 2963 0.987009 0.004240 0.984011 0.990007 2
35 2942 0.980013 0.000942 0.979347 0.980680 2
36 2768 0.922052 0.007537 0.916722 0.927382 2
37 1852 0.616922 0.001884 0.615590 0.618254 2
38 1039 0.346103 0.003298 0.343771 0.348434 2
39 992 0.330446 0.002827 0.328448 0.332445 2
40 992 0.330446 0.010364 0.323118 0.337775 2
41 968 0.322452 0.000942 0.321785 0.323118 2
42 553 0.184211 0.003298 0.181879 0.186542 2
43 547 0.182212 0.011777 0.173884 0.190540 2
44 541 0.180213 0.014604 0.169887 0.190540 2
45 516 0.171885 0.007537 0.166556 0.177215 2
46 496 0.165223 0.003769 0.162558 0.167888 2
47 492 0.163891 0.009422 0.157229 0.170553 2
48 453 0.150899 0.003298 0.148568 0.153231 2
49 442 0.147235 0.006595 0.142572 0.151899 2
50 438 0.145903 0.010364 0.138574 0.153231 2
51 436 0.145237 0.002827 0.143238 0.147235 2
52 436 0.145237 0.006595 0.140573 0.149900 2
53 402 0.133911 0.011306 0.125916 0.141905 2
54 377 0.125583 0.009893 0.118588 0.132578 2
55 369 0.122918 0.008951 0.116589 0.129247 2
56 364 0.121252 0.009422 0.114590 0.127915 2
57 360 0.119920 0.003769 0.117255 0.122585 2
58 354 0.117921 0.001884 0.116589 0.119254 2
59 354 0.117921 0.007537 0.112592 0.123251 2
60 347 0.115590 0.007066 0.110593 0.120586 2
61 344 0.114590 0.007537 0.109260 0.119920 2
62 341 0.113591 0.006124 0.109260 0.117921 2
63 268 0.089274 0.016017 0.077948 0.100600 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] 0.001016 0.000001 0.000000 0.003064 0.000675 1.000 2
length{all}[2] 0.001002 0.000001 0.000000 0.003021 0.000685 1.000 2
length{all}[3] 0.001046 0.000001 0.000000 0.003237 0.000699 1.001 2
length{all}[4] 0.001855 0.000002 0.000001 0.004938 0.001465 1.000 2
length{all}[5] 0.001931 0.000002 0.000003 0.004911 0.001563 1.000 2
length{all}[6] 0.001060 0.000001 0.000001 0.003332 0.000712 1.000 2
length{all}[7] 0.001024 0.000001 0.000000 0.003138 0.000703 1.000 2
length{all}[8] 0.001155 0.000002 0.000000 0.003496 0.000773 1.000 2
length{all}[9] 0.001024 0.000001 0.000000 0.003161 0.000670 1.000 2
length{all}[10] 0.001016 0.000001 0.000000 0.003281 0.000653 1.000 2
length{all}[11] 0.001001 0.000001 0.000000 0.003175 0.000650 1.000 2
length{all}[12] 0.001003 0.000001 0.000000 0.003223 0.000669 1.000 2
length{all}[13] 0.002006 0.000003 0.000067 0.005198 0.001587 1.000 2
length{all}[14] 0.001021 0.000001 0.000000 0.003160 0.000705 1.000 2
length{all}[15] 0.002038 0.000003 0.000058 0.005291 0.001629 1.000 2
length{all}[16] 0.002104 0.000003 0.000020 0.005345 0.001645 1.000 2
length{all}[17] 0.000980 0.000001 0.000000 0.003185 0.000646 1.000 2
length{all}[18] 0.000966 0.000001 0.000000 0.002905 0.000654 1.000 2
length{all}[19] 0.000994 0.000001 0.000001 0.003050 0.000656 1.000 2
length{all}[20] 0.000972 0.000001 0.000001 0.002999 0.000667 1.000 2
length{all}[21] 0.001021 0.000001 0.000000 0.003107 0.000666 1.000 2
length{all}[22] 0.001003 0.000001 0.000000 0.003191 0.000640 1.000 2
length{all}[23] 0.001072 0.000001 0.000000 0.003291 0.000705 1.000 2
length{all}[24] 0.002015 0.000003 0.000019 0.005142 0.001579 1.000 2
length{all}[25] 0.002050 0.000003 0.000076 0.005089 0.001618 1.000 2
length{all}[26] 0.000968 0.000001 0.000001 0.002940 0.000681 1.000 2
length{all}[27] 0.001009 0.000001 0.000001 0.003135 0.000680 1.001 2
length{all}[28] 0.001010 0.000001 0.000000 0.003077 0.000671 1.000 2
length{all}[29] 0.000986 0.000001 0.000000 0.003121 0.000639 1.000 2
length{all}[30] 0.000989 0.000001 0.000000 0.003147 0.000641 1.000 2
length{all}[31] 0.003556 0.000005 0.000151 0.007837 0.003047 1.001 2
length{all}[32] 0.003752 0.000006 0.000139 0.008222 0.003223 1.004 2
length{all}[33] 0.003225 0.000005 0.000226 0.007570 0.002707 1.000 2
length{all}[34] 0.003208 0.000005 0.000245 0.007538 0.002704 1.000 2
length{all}[35] 0.003067 0.000005 0.000191 0.007086 0.002562 1.003 2
length{all}[36] 0.002014 0.000003 0.000011 0.005272 0.001572 1.000 2
length{all}[37] 0.002002 0.000003 0.000006 0.005003 0.001591 0.999 2
length{all}[38] 0.000970 0.000001 0.000001 0.002914 0.000664 1.000 2
length{all}[39] 0.000987 0.000001 0.000000 0.002909 0.000650 0.999 2
length{all}[40] 0.001896 0.000003 0.000001 0.005314 0.001397 1.000 2
length{all}[41] 0.000966 0.000001 0.000000 0.002936 0.000653 1.001 2
length{all}[42] 0.001089 0.000002 0.000000 0.003604 0.000673 0.998 2
length{all}[43] 0.001058 0.000001 0.000001 0.002944 0.000681 0.999 2
length{all}[44] 0.001000 0.000001 0.000001 0.002973 0.000676 0.998 2
length{all}[45] 0.001069 0.000002 0.000002 0.003250 0.000690 1.001 2
length{all}[46] 0.001115 0.000002 0.000001 0.003074 0.000727 1.000 2
length{all}[47] 0.001123 0.000001 0.000003 0.003443 0.000780 0.999 2
length{all}[48] 0.001078 0.000001 0.000000 0.003208 0.000714 1.002 2
length{all}[49] 0.001769 0.000003 0.000002 0.005176 0.001262 1.005 2
length{all}[50] 0.001057 0.000001 0.000000 0.003272 0.000722 0.998 2
length{all}[51] 0.001147 0.000002 0.000001 0.003345 0.000691 1.011 2
length{all}[52] 0.001224 0.000002 0.000001 0.003785 0.000819 0.999 2
length{all}[53] 0.000996 0.000001 0.000000 0.003015 0.000659 0.998 2
length{all}[54] 0.000974 0.000001 0.000004 0.003231 0.000667 1.013 2
length{all}[55] 0.000983 0.000001 0.000001 0.003121 0.000647 0.998 2
length{all}[56] 0.001014 0.000001 0.000000 0.003416 0.000609 0.997 2
length{all}[57] 0.000984 0.000001 0.000001 0.002968 0.000653 1.001 2
length{all}[58] 0.001029 0.000002 0.000004 0.003098 0.000639 1.011 2
length{all}[59] 0.000993 0.000001 0.000001 0.002768 0.000624 1.001 2
length{all}[60] 0.001032 0.000001 0.000006 0.003377 0.000686 0.998 2
length{all}[61] 0.001058 0.000001 0.000003 0.003113 0.000729 0.998 2
length{all}[62] 0.000980 0.000001 0.000001 0.002947 0.000663 0.998 2
length{all}[63] 0.000972 0.000001 0.000005 0.003088 0.000604 0.999 2
-------------------------------------------------------------------------------------------
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge. NA is reported when
deviation of parameter values within all runs is 0 or when a parameter
value (a branch length, for instance) is not sampled in all runs.
Summary statistics for partitions with frequency >= 0.10 in at least one run:
Average standard deviation of split frequencies = 0.006167
Maximum standard deviation of split frequencies = 0.016017
Average PSRF for parameter values (excluding NA and >10.0) = 1.000
Maximum PSRF for parameter values = 1.013
Clade credibility values:
/--------------------------------------------------------------------- C192 (1)
|
|--------------------------------------------------------------------- C37 (3)
|
|--------------------------------------------------------------------- C191 (6)
|
|--------------------------------------------------------------------- C34 (9)
|
|--------------------------------------------------------------------- C49 (10)
|
|--------------------------------------------------------------------- C13 (12)
|
|--------------------------------------------------------------------- C16 (13)
|
|--------------------------------------------------------------------- C178 (14)
|
|--------------------------------------------------------------------- C261 (21)
|
|--------------------------------------------------------------------- C265 (22)
|
|--------------------------------------------------------------------- C22 (26)
|
|--------------------------------------------------------------------- C43 (27)
|
|--------------------------------------------------------------------- C2 (28)
+
|--------------------------------------------------------------------- C32 (29)
|
|--------------------------------------------------------------------- C33 (30)
|
| /---------------------------- C256 (2)
| |
| | /-------------- C240 (7)
| | |
| |-----100-----+-------------- C252 (11)
| | |
| | \-------------- C254 (20)
| /-----99-----+
| | |---------------------------- C126 (17)
| | |
| | |---------------------------- C219 (18)
| | |
| /------62-----+ |---------------------------- C226 (19)
| | | |
| | | \---------------------------- C129 (25)
| | |
| | | /-------------- C101 (4)
| | \------------100-----------+
| | \-------------- C276 (8)
| |
\------98-----+------------------------------------------------------- C165 (5)
|
| /-------------- C209 (15)
| /------92-----+
| | \-------------- C130 (23)
|------------100-----------+
| \---------------------------- C213 (16)
|
\------------------------------------------------------- C131 (24)
Phylogram (based on average branch lengths):
/---- C192 (1)
|
|---- C37 (3)
|
|----- C191 (6)
|
|---- C34 (9)
|
|---- C49 (10)
|
|---- C13 (12)
|
|---------- C16 (13)
|
|----- C178 (14)
|
|---- C261 (21)
|
|---- C265 (22)
|
|---- C22 (26)
|
|---- C43 (27)
|
|---- C2 (28)
+
|---- C32 (29)
|
|---- C33 (30)
|
| /---- C256 (2)
| |
| | /---- C240 (7)
| | |
| |--------------------+---- C252 (11)
| | |
| | \---- C254 (20)
| /----------------+
| | |---- C126 (17)
| | |
| | |---- C219 (18)
| | |
| /----------+ |---- C226 (19)
| | | |
| | | \---------- C129 (25)
| | |
| | | /---------- C101 (4)
| | \------------------+
| | \----- C276 (8)
| |
\---------------+---------- C165 (5)
|
| /---------- C209 (15)
| /---------+
| | \---- C130 (23)
|-----------------+
| \---------- C213 (16)
|
\----------- C131 (24)
|-----------| 0.002 expected changes per site
Calculating tree probabilities...
Credible sets of trees (3002 trees sampled):
50 % credible set contains 1501 trees
90 % credible set contains 2702 trees
95 % credible set contains 2852 trees
99 % credible set contains 2972 trees
Exiting mrbayes block
Reached end of file
Tasks completed, exiting program because mode is noninteractive
To return control to the command line after completion of file processing,
set mode to interactive with 'mb -i <filename>' (i is for interactive)
or use 'set mode=interactive'
-- Starting log on Fri Nov 18 14:40:34 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Sat Nov 19 11:53:49 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/codeml,DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_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 C178 330 sites
reading seq# 2 C213 330 sites
reading seq# 3 C209 330 sites
reading seq# 4 C252 330 sites
reading seq# 5 C219 330 sites
reading seq# 6 C126 330 sites
reading seq# 7 C226 330 sites
reading seq# 8 C16 330 sites
reading seq# 9 C2 330 sites
reading seq#10 C254 330 sites
reading seq#11 C256 330 sites
reading seq#12 C192 330 sites
reading seq#13 C37 330 sites
reading seq#14 C261 330 sites
reading seq#15 C265 330 sites
reading seq#16 C165 330 sites
reading seq#17 C101 330 sites
reading seq#18 C191 330 sites
reading seq#19 C131 330 sites
reading seq#20 C130 330 sites
reading seq#21 C276 330 sites
reading seq#22 C240 330 sites
reading seq#23 C22 330 sites
reading seq#24 C43 330 sites
reading seq#25 C129 330 sites
reading seq#26 C49 330 sites
reading seq#27 C34 330 sites
reading seq#28 C33 330 sites
reading seq#29 C32 330 sites
reading seq#30 C13 330 sitesns = 30 ls = 330
Reading sequences, sequential format..
Reading seq # 1: C178
Reading seq # 2: C213
Reading seq # 3: C209
Reading seq # 4: C252
Reading seq # 5: C219
Reading seq # 6: C126
Reading seq # 7: C226
Reading seq # 8: C16
Reading seq # 9: C2
Reading seq #10: C254
Reading seq #11: C256
Reading seq #12: C192
Reading seq #13: C37
Reading seq #14: C261
Reading seq #15: C265
Reading seq #16: C165
Reading seq #17: C101
Reading seq #18: C191
Reading seq #19: C131
Reading seq #20: C130
Reading seq #21: C276
Reading seq #22: C240
Reading seq #23: C22
Reading seq #24: C43
Reading seq #25: C129
Reading seq #26: C49
Reading seq #27: C34
Reading seq #28: C33
Reading seq #29: C32
Reading seq #30: C13
Sequences read..
Counting site patterns.. 0:00
Compressing, 53 patterns at 110 / 110 sites (100.0%), 0:00
Collecting fpatt[] & pose[], 53 patterns at 110 / 110 sites (100.0%), 0:00
Counting codons..
3480 bytes for distance
51728 bytes for conP
4664 bytes for fhK
5000000 bytes for space
Model 1: NearlyNeutral
TREE # 1
(12, 13, 18, 27, 26, 30, 8, 1, 14, 15, 23, 24, 9, 29, 28, (((11, (22, 4, 10), 6, 5, 7, 25), (17, 21)), 16, ((3, 20), 2), 19)); MP score: 20
206912 bytes for conP, adjusted
0.036720 0.011029 0.053459 0.079814 0.083020 0.042899 0.011768 0.023433 0.093187 0.046219 0.101926 0.065898 0.038411 0.045166 0.107445 0.044585 0.062490 0.054203 0.056045 0.061940 0.084481 0.058291 0.031635 0.015068 0.018057 0.091453 0.020966 0.107243 0.062245 0.024608 0.037131 0.089804 0.093245 0.048617 0.037114 0.057849 0.062003 0.300000 0.513975 0.177856
ntime & nrate & np: 37 2 40
Bounds (np=40):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 0.999990 1.000000
Qfactor_NS = 9.439021
np = 40
lnL0 = -678.763436
Iterating by ming2
Initial: fx= 678.763436
x= 0.03672 0.01103 0.05346 0.07981 0.08302 0.04290 0.01177 0.02343 0.09319 0.04622 0.10193 0.06590 0.03841 0.04517 0.10745 0.04459 0.06249 0.05420 0.05604 0.06194 0.08448 0.05829 0.03163 0.01507 0.01806 0.09145 0.02097 0.10724 0.06225 0.02461 0.03713 0.08980 0.09324 0.04862 0.03711 0.05785 0.06200 0.30000 0.51398 0.17786
1 h-m-p 0.0000 0.0002 359.8654 +++ 653.448440 m 0.0002 46 | 1/40
2 h-m-p 0.0000 0.0001 542.2159 ++ 646.933838 m 0.0001 89 | 2/40
3 h-m-p 0.0000 0.0000 554.4450 ++ 643.112444 m 0.0000 132 | 3/40
4 h-m-p 0.0000 0.0000 2486.8824 ++ 637.188107 m 0.0000 175 | 4/40
5 h-m-p 0.0000 0.0000 1296.7052 ++ 635.553199 m 0.0000 218 | 5/40
6 h-m-p 0.0000 0.0002 241.2132 ++ 627.959876 m 0.0002 261 | 6/40
7 h-m-p 0.0000 0.0002 133.3894 ++ 623.162247 m 0.0002 304 | 7/40
8 h-m-p 0.0000 0.0000 571.0851 ++ 622.103058 m 0.0000 347 | 8/40
9 h-m-p 0.0000 0.0000 42294.2448 ++ 620.543335 m 0.0000 390 | 9/40
10 h-m-p 0.0000 0.0000 509.0553 ++ 616.865256 m 0.0000 433 | 10/40
11 h-m-p 0.0000 0.0000 5962.3586 ++ 615.109585 m 0.0000 476 | 11/40
12 h-m-p 0.0000 0.0000 19508.3579 ++ 614.342912 m 0.0000 519 | 12/40
13 h-m-p 0.0000 0.0000 2184.9535 ++ 611.744143 m 0.0000 562 | 13/40
14 h-m-p 0.0000 0.0000 4684.2581 ++ 609.798206 m 0.0000 605 | 14/40
15 h-m-p 0.0000 0.0000 1171.4150 ++ 609.649174 m 0.0000 648 | 15/40
16 h-m-p 0.0000 0.0000 5208.7601 ++ 603.729754 m 0.0000 691 | 16/40
17 h-m-p 0.0000 0.0000 1056.5363 ++ 598.886749 m 0.0000 734 | 17/40
18 h-m-p 0.0000 0.0000 3468.2091 ++ 597.902534 m 0.0000 777 | 18/40
19 h-m-p 0.0000 0.0000 748.9106 ++ 597.691346 m 0.0000 820 | 19/40
20 h-m-p 0.0000 0.0000 890.9268 ++ 597.028020 m 0.0000 863 | 20/40
21 h-m-p 0.0000 0.0001 347.7683 ++ 594.994798 m 0.0001 906 | 21/40
22 h-m-p 0.0000 0.0000 460.6981 ++ 593.647892 m 0.0000 949 | 22/40
23 h-m-p 0.0000 0.0001 134.1570 ++ 592.872419 m 0.0001 992 | 23/40
24 h-m-p 0.0000 0.0016 76.8484 +++ 585.557536 m 0.0016 1036 | 22/40
25 h-m-p -0.0000 -0.0000 176.8304
h-m-p: -1.17008471e-21 -5.85042355e-21 1.76830379e+02 585.557536
.. | 22/40
26 h-m-p 0.0000 0.0002 235787.8378 -YCYYYCYCYC 578.439177 9 0.0000 1133 | 22/40
27 h-m-p 0.0000 0.0000 187.4360 ++ 578.409179 m 0.0000 1176 | 23/40
28 h-m-p 0.0000 0.0002 519.7747 ++YCYYYCC 568.171333 6 0.0002 1229 | 23/40
29 h-m-p 0.0000 0.0001 505.7956 +YYYCCC 565.824372 5 0.0001 1280 | 23/40
30 h-m-p 0.0000 0.0001 809.7622 +YYYYCYCCCC 562.020507 9 0.0001 1337 | 23/40
31 h-m-p 0.0000 0.0002 300.9244 ++ 558.734337 m 0.0002 1380 | 24/40
32 h-m-p 0.0000 0.0002 304.2026 +YCYCCC 557.307645 5 0.0001 1432 | 24/40
33 h-m-p 0.0003 0.0024 109.9336 +YCCCCCC 549.282380 6 0.0018 1488 | 23/40
34 h-m-p 0.0000 0.0002 348.8223 ++ 547.081217 m 0.0002 1531 | 23/40
35 h-m-p 0.0000 0.0000 594.5621
h-m-p: 0.00000000e+00 0.00000000e+00 5.94562103e+02 547.081217
.. | 23/40
36 h-m-p 0.0000 0.0004 382.5478 +CCCC 545.831382 3 0.0000 1621 | 23/40
37 h-m-p 0.0000 0.0002 104.8053 +YCCC 545.082348 3 0.0001 1670 | 23/40
38 h-m-p 0.0000 0.0000 35.6140 ++ 545.075751 m 0.0000 1713 | 24/40
39 h-m-p 0.0000 0.0013 35.2377 ++CCCC 544.989184 3 0.0003 1764 | 24/40
40 h-m-p 0.0002 0.0027 57.6800 +YCC 544.782986 2 0.0005 1811 | 24/40
41 h-m-p 0.0001 0.0012 207.4285 +YYCCCCC 543.903818 6 0.0006 1865 | 24/40
42 h-m-p 0.0001 0.0008 985.1581 YCCCC 542.649398 4 0.0002 1915 | 24/40
43 h-m-p 0.0001 0.0003 418.9179 YCYCCC 542.229847 5 0.0001 1966 | 24/40
44 h-m-p 0.0001 0.0004 134.9058 CCCCC 542.100084 4 0.0001 2017 | 24/40
45 h-m-p 0.0001 0.0004 153.5868 CCY 542.001431 2 0.0001 2064 | 24/40
46 h-m-p 0.0001 0.0034 124.4734 +CCC 541.647093 2 0.0004 2112 | 24/40
47 h-m-p 0.0002 0.0013 230.3625 +YCYCCC 540.306943 5 0.0006 2164 | 24/40
48 h-m-p 0.0002 0.0008 202.7751 YCYCCC 539.596905 5 0.0004 2215 | 24/40
49 h-m-p 0.0006 0.0031 9.8246 CC 539.591937 1 0.0001 2260 | 24/40
50 h-m-p 0.0004 0.0051 3.1071 CC 539.591207 1 0.0001 2305 | 24/40
51 h-m-p 0.0008 0.1542 0.5227 +CC 539.584331 1 0.0047 2351 | 24/40
52 h-m-p 0.0002 0.0449 9.8248 +++YYYCCCC 538.937710 6 0.0166 2422 | 24/40
53 h-m-p 0.0001 0.0007 733.5200 YCCCC 538.099677 4 0.0003 2472 | 24/40
54 h-m-p 0.4930 4.5986 0.4608 YCCCC 537.182292 4 0.9537 2522 | 24/40
55 h-m-p 1.0199 5.0996 0.4001 CCCC 536.370603 3 1.4363 2587 | 24/40
56 h-m-p 1.1832 5.9160 0.3564 CCCC 535.876036 3 1.5646 2652 | 24/40
57 h-m-p 1.1520 5.7598 0.3334 CCC 535.666892 2 1.1541 2715 | 24/40
58 h-m-p 0.9873 8.0000 0.3897 YCCC 535.492752 3 1.4630 2779 | 24/40
59 h-m-p 1.6000 8.0000 0.3442 CCC 535.417478 2 1.4615 2842 | 24/40
60 h-m-p 1.6000 8.0000 0.2293 YCC 535.396497 2 1.2510 2904 | 24/40
61 h-m-p 1.6000 8.0000 0.0868 C 535.393367 0 1.6000 2963 | 24/40
62 h-m-p 1.6000 8.0000 0.0164 CC 535.393157 1 1.2969 3024 | 24/40
63 h-m-p 1.6000 8.0000 0.0011 C 535.393141 0 1.2810 3083 | 24/40
64 h-m-p 1.2880 8.0000 0.0011 C 535.393140 0 1.1742 3142 | 24/40
65 h-m-p 1.6000 8.0000 0.0000 C 535.393140 0 1.3460 3201 | 24/40
66 h-m-p 0.4864 8.0000 0.0001 +Y 535.393140 0 1.4207 3261 | 24/40
67 h-m-p 1.6000 8.0000 0.0000 Y 535.393140 0 0.9474 3320 | 24/40
68 h-m-p 1.6000 8.0000 0.0000 Y 535.393140 0 3.7876 3379 | 24/40
69 h-m-p 1.6000 8.0000 0.0000 C 535.393140 0 0.4000 3438 | 24/40
70 h-m-p 0.5406 8.0000 0.0000 Y 535.393140 0 0.1351 3497 | 24/40
71 h-m-p 0.2651 8.0000 0.0000 ---------------.. | 24/40
72 h-m-p 0.0160 8.0000 0.0002 ------------- | 24/40
73 h-m-p 0.0160 8.0000 0.0002 -------------
Out..
lnL = -535.393140
3710 lfun, 11130 eigenQcodon, 274540 P(t)
end of tree file.
Time used: 1:14
Model 2: PositiveSelection
TREE # 1
(12, 13, 18, 27, 26, 30, 8, 1, 14, 15, 23, 24, 9, 29, 28, (((11, (22, 4, 10), 6, 5, 7, 25), (17, 21)), 16, ((3, 20), 2), 19)); MP score: 20
0.098175 0.077241 0.059692 0.012022 0.062911 0.028615 0.052428 0.063654 0.017260 0.079708 0.104962 0.070916 0.084810 0.035524 0.051792 0.018093 0.088831 0.064188 0.107672 0.026051 0.063017 0.027529 0.023426 0.109334 0.080090 0.050243 0.024459 0.064802 0.021716 0.032308 0.092934 0.084010 0.088168 0.084359 0.029532 0.056491 0.021169 5.169484 1.106924 0.578695 0.484629 1.503741
ntime & nrate & np: 37 3 42
Bounds (np=42):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 99.000000 99.000000 1.000000 999.000000
Qfactor_NS = 2.286732
np = 42
lnL0 = -709.534210
Iterating by ming2
Initial: fx= 709.534210
x= 0.09818 0.07724 0.05969 0.01202 0.06291 0.02862 0.05243 0.06365 0.01726 0.07971 0.10496 0.07092 0.08481 0.03552 0.05179 0.01809 0.08883 0.06419 0.10767 0.02605 0.06302 0.02753 0.02343 0.10933 0.08009 0.05024 0.02446 0.06480 0.02172 0.03231 0.09293 0.08401 0.08817 0.08436 0.02953 0.05649 0.02117 5.16948 1.10692 0.57869 0.48463 1.50374
1 h-m-p 0.0000 0.0001 448.9393 ++ 680.104579 m 0.0001 89 | 1/42
2 h-m-p 0.0000 0.0000 11926.5877 ++ 668.337064 m 0.0000 176 | 2/42
3 h-m-p 0.0000 0.0000 13664.4867 ++ 654.097489 m 0.0000 262 | 3/42
4 h-m-p 0.0000 0.0000 3304.3167 ++ 645.174342 m 0.0000 347 | 4/42
5 h-m-p 0.0000 0.0000 707.3042 ++ 643.578267 m 0.0000 431 | 5/42
6 h-m-p 0.0000 0.0000 1030.0181 ++ 641.977020 m 0.0000 514 | 6/42
7 h-m-p 0.0000 0.0000 912.6758 ++ 633.449226 m 0.0000 596 | 7/42
8 h-m-p 0.0000 0.0000 3908.3243 ++ 633.348378 m 0.0000 677 | 8/42
9 h-m-p 0.0000 0.0000 3551.1075 ++ 616.127312 m 0.0000 757 | 9/42
10 h-m-p 0.0000 0.0000 1265.5117 ++ 613.000222 m 0.0000 836 | 10/42
11 h-m-p 0.0000 0.0000 896.3858 ++ 605.004346 m 0.0000 914 | 11/42
12 h-m-p 0.0000 0.0000 823.2583 ++ 602.755518 m 0.0000 991 | 12/42
13 h-m-p 0.0000 0.0000 1102535.1421 ++ 602.019470 m 0.0000 1067 | 13/42
14 h-m-p 0.0000 0.0000 1566.9003 ++ 601.440130 m 0.0000 1142 | 14/42
15 h-m-p 0.0000 0.0000 16381.2390 ++ 596.322277 m 0.0000 1216 | 15/42
16 h-m-p 0.0000 0.0000 4105.1719 ++ 592.374258 m 0.0000 1289 | 16/42
17 h-m-p 0.0000 0.0000 35585.6493 ++ 592.255760 m 0.0000 1361 | 17/42
18 h-m-p 0.0000 0.0000 1243.5358 ++ 591.209017 m 0.0000 1432 | 18/42
19 h-m-p 0.0000 0.0000 3311.4542 ++ 589.250076 m 0.0000 1502 | 19/42
20 h-m-p 0.0000 0.0000 1156.5909 ++ 585.044166 m 0.0000 1571 | 20/42
21 h-m-p 0.0000 0.0000 1752.4098 ++ 583.656563 m 0.0000 1639 | 21/42
22 h-m-p 0.0000 0.0000 542.3586 ++ 583.520068 m 0.0000 1706 | 22/42
23 h-m-p 0.0000 0.0000 249.1619 ++ 583.434594 m 0.0000 1772 | 23/42
24 h-m-p 0.0000 0.0017 85.4930 ++++ 570.076161 m 0.0017 1839 | 23/42
25 h-m-p 0.0000 0.0000 125.0263
h-m-p: 3.33777890e-20 1.66888945e-19 1.25026295e+02 570.076161
.. | 23/42
26 h-m-p 0.0000 0.0004 419.9892 +YCYCCC 567.056511 5 0.0001 1973 | 23/42
27 h-m-p 0.0001 0.0004 180.1364 +YYCCCC 562.866876 5 0.0002 2046 | 23/42
28 h-m-p 0.0000 0.0002 225.9892 +YYYCCC 560.943378 5 0.0001 2118 | 23/42
29 h-m-p 0.0001 0.0007 176.4825 +YYCCCC 557.472986 5 0.0004 2191 | 23/42
30 h-m-p 0.0000 0.0001 668.5049 +YCYCCC 556.223615 5 0.0000 2264 | 23/42
31 h-m-p 0.0001 0.0005 42.5055 YYC 556.169664 2 0.0001 2330 | 23/42
32 h-m-p 0.0001 0.0007 30.3711 YYC 556.142667 2 0.0001 2396 | 23/42
33 h-m-p 0.0001 0.0025 42.2368 +YCCC 555.943390 3 0.0006 2466 | 23/42
34 h-m-p 0.0002 0.0011 89.5253 YCYCCC 555.500300 5 0.0006 2538 | 23/42
35 h-m-p 0.0000 0.0002 1273.4010 +YYYYCYCCCC 553.235370 9 0.0002 2616 | 23/42
36 h-m-p 0.0000 0.0000 19644.3848 ++ 552.141302 m 0.0000 2680 | 24/42
37 h-m-p 0.0004 0.0023 55.8551 YC 552.128915 1 0.0002 2745 | 24/42
38 h-m-p 0.0002 0.0014 58.9471 YCC 552.118512 2 0.0001 2811 | 24/42
39 h-m-p 0.0007 0.0103 11.3535 +YCC 552.048185 2 0.0021 2878 | 24/42
40 h-m-p 0.0002 0.0069 118.1996 ++YYCYCCCC 549.899189 7 0.0042 2954 | 24/42
41 h-m-p 0.0001 0.0003 543.2390 CYCCC 549.723095 4 0.0001 3024 | 24/42
42 h-m-p 0.0148 0.0878 3.2140 ++ 546.644834 m 0.0878 3087 | 25/42
43 h-m-p 0.0999 0.5287 2.1050 +CYYCCC 539.956023 5 0.4503 3159 | 25/42
44 h-m-p 0.2053 1.0264 1.7483 CYCCC 538.358874 4 0.2611 3228 | 24/42
45 h-m-p 0.0013 0.0065 210.6015 CYCC 538.135178 3 0.0004 3295 | 24/42
46 h-m-p 0.2187 2.3481 0.3490 +CYCCC 536.568954 4 1.3074 3366 | 24/42
47 h-m-p 0.4811 2.4054 0.1451 YCCCC 536.136857 4 0.9498 3436 | 24/42
48 h-m-p 0.5588 6.4548 0.2466 +YYC 535.864137 2 1.7979 3502 | 24/42
49 h-m-p 0.9430 4.7148 0.2856 CCC 535.707018 2 0.9917 3569 | 24/42
50 h-m-p 1.4533 7.7407 0.1949 YCCCC 535.579974 4 1.4745 3639 | 24/42
51 h-m-p 1.6000 8.0000 0.0689 CCC 535.536400 2 2.0454 3706 | 24/42
52 h-m-p 0.8904 8.0000 0.1583 YC 535.506882 1 1.9534 3770 | 24/42
53 h-m-p 1.6000 8.0000 0.1754 CCC 535.488613 2 1.3425 3837 | 24/42
54 h-m-p 1.6000 8.0000 0.1362 CCC 535.468183 2 2.0801 3904 | 24/42
55 h-m-p 1.6000 8.0000 0.1241 CCC 535.453059 2 1.9722 3971 | 24/42
56 h-m-p 1.6000 8.0000 0.0855 YCC 535.439450 2 2.8116 4037 | 24/42
57 h-m-p 1.6000 8.0000 0.0347 CC 535.434833 1 2.0655 4102 | 24/42
58 h-m-p 0.7607 8.0000 0.0942 +CC 535.426262 1 3.9648 4168 | 24/42
59 h-m-p 1.6000 8.0000 0.1351 CCC 535.419772 2 2.2285 4235 | 24/42
60 h-m-p 1.6000 8.0000 0.1170 +YC 535.412794 1 4.3934 4300 | 24/42
61 h-m-p 1.6000 8.0000 0.1854 YC 535.406482 1 2.5806 4364 | 24/42
62 h-m-p 1.6000 8.0000 0.2380 CC 535.403339 1 2.3669 4429 | 24/42
63 h-m-p 1.6000 8.0000 0.2475 YC 535.398325 1 3.6598 4493 | 24/42
64 h-m-p 1.6000 8.0000 0.3813 CC 535.395696 1 1.7242 4558 | 24/42
65 h-m-p 1.6000 8.0000 0.1534 YC 535.393957 1 2.9664 4622 | 24/42
66 h-m-p 1.6000 8.0000 0.0158 CC 535.393558 1 1.4159 4687 | 24/42
67 h-m-p 1.6000 8.0000 0.0040 C 535.393504 0 2.2510 4750 | 24/42
68 h-m-p 0.1252 8.0000 0.0711 +++ 535.393375 m 8.0000 4814 | 24/42
69 h-m-p 1.6000 8.0000 0.2534 YC 535.393222 1 3.0528 4878 | 24/42
70 h-m-p 1.6000 8.0000 0.3123 YC 535.393131 1 2.6647 4942 | 24/42
71 h-m-p 1.6000 8.0000 0.3409 C 535.393091 0 2.4393 5005 | 24/42
72 h-m-p 1.6000 8.0000 0.2664 C 535.393082 0 2.2300 5068 | 24/42
73 h-m-p 1.6000 8.0000 0.2783 Y 535.393073 0 3.7816 5131 | 24/42
74 h-m-p 1.6000 8.0000 0.3576 C 535.393071 0 1.9604 5194 | 24/42
75 h-m-p 1.6000 8.0000 0.3144 Y 535.393069 0 3.3241 5257 | 24/42
76 h-m-p 1.6000 8.0000 0.3362 C 535.393069 0 2.0486 5320 | 24/42
77 h-m-p 1.6000 8.0000 0.3468 Y 535.393069 0 3.5492 5383 | 24/42
78 h-m-p 1.6000 8.0000 0.3045 C 535.393069 0 1.7317 5446 | 24/42
79 h-m-p 1.4488 8.0000 0.3640 +C 535.393069 0 5.7950 5510 | 24/42
80 h-m-p 1.6000 8.0000 0.2100 Y 535.393069 0 1.1085 5573 | 24/42
81 h-m-p 0.8788 8.0000 0.2649 Y 535.393069 0 1.6062 5636 | 24/42
82 h-m-p 1.1467 8.0000 0.3710 ++ 535.393069 m 8.0000 5699 | 24/42
83 h-m-p 1.6000 8.0000 0.0378 Y 535.393069 0 1.1635 5762 | 24/42
84 h-m-p 0.5619 8.0000 0.0784 C 535.393069 0 0.1999 5825 | 24/42
85 h-m-p 0.0285 8.0000 0.5506 --C 535.393069 0 0.0004 5890 | 24/42
86 h-m-p 0.2079 8.0000 0.0012 --------C 535.393069 0 0.0000 5961 | 24/42
87 h-m-p 0.0160 8.0000 0.0211 -------------.. | 24/42
88 h-m-p 0.0160 8.0000 0.0012 -------------
Out..
lnL = -535.393069
6110 lfun, 24440 eigenQcodon, 678210 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) = -545.686331 S = -525.250101 -36.751901
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 53 patterns 4:17
did 20 / 53 patterns 4:17
did 30 / 53 patterns 4:17
did 40 / 53 patterns 4:17
did 50 / 53 patterns 4:17
did 53 / 53 patterns 4:17end of tree file.
Time used: 4:17
Model 7: beta
TREE # 1
(12, 13, 18, 27, 26, 30, 8, 1, 14, 15, 23, 24, 9, 29, 28, (((11, (22, 4, 10), 6, 5, 7, 25), (17, 21)), 16, ((3, 20), 2), 19)); MP score: 20
0.079595 0.092602 0.077982 0.052832 0.055691 0.026885 0.067173 0.026129 0.023978 0.050563 0.058010 0.078223 0.010261 0.034596 0.014529 0.052829 0.057652 0.072917 0.040270 0.011541 0.053834 0.107575 0.099230 0.105215 0.018778 0.020959 0.065254 0.046031 0.107589 0.106064 0.042023 0.028678 0.058184 0.100704 0.070835 0.024100 0.088474 5.169404 0.566461 1.083660
ntime & nrate & np: 37 1 40
Bounds (np=40):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 99.000000 99.000000
Qfactor_NS = 4.525058
np = 40
lnL0 = -668.474405
Iterating by ming2
Initial: fx= 668.474405
x= 0.07960 0.09260 0.07798 0.05283 0.05569 0.02689 0.06717 0.02613 0.02398 0.05056 0.05801 0.07822 0.01026 0.03460 0.01453 0.05283 0.05765 0.07292 0.04027 0.01154 0.05383 0.10757 0.09923 0.10522 0.01878 0.02096 0.06525 0.04603 0.10759 0.10606 0.04202 0.02868 0.05818 0.10070 0.07084 0.02410 0.08847 5.16940 0.56646 1.08366
1 h-m-p 0.0000 0.0002 364.2497 +++ 649.194569 m 0.0002 86 | 1/40
2 h-m-p 0.0000 0.0000 1544.4939 ++ 641.998881 m 0.0000 169 | 2/40
3 h-m-p 0.0000 0.0002 232.6474 ++ 634.864887 m 0.0002 251 | 3/40
4 h-m-p 0.0000 0.0001 549.4869 ++ 630.780388 m 0.0001 332 | 4/40
5 h-m-p 0.0000 0.0002 467.2604 ++ 617.982082 m 0.0002 412 | 5/40
6 h-m-p 0.0000 0.0001 518.9713 ++ 613.969749 m 0.0001 491 | 6/40
7 h-m-p 0.0000 0.0000 10624.6247 ++ 612.616758 m 0.0000 569 | 7/40
8 h-m-p 0.0000 0.0000 37060197.9224 ++ 605.930745 m 0.0000 646 | 8/40
9 h-m-p 0.0000 0.0000 2209.8285 ++ 600.125167 m 0.0000 722 | 9/40
10 h-m-p 0.0000 0.0000 130253.2006 ++ 579.944521 m 0.0000 797 | 10/40
11 h-m-p 0.0000 0.0000 1135.4242 ++ 577.504955 m 0.0000 871 | 11/40
12 h-m-p 0.0000 0.0000 1958.0865 ++ 574.821807 m 0.0000 944 | 12/40
13 h-m-p 0.0000 0.0000 12012.4819 ++ 571.747100 m 0.0000 1016 | 13/40
14 h-m-p 0.0000 0.0000 4189.9547 ++ 569.503145 m 0.0000 1087 | 14/40
15 h-m-p 0.0000 0.0000 4943.5694 ++ 563.613271 m 0.0000 1157 | 15/40
16 h-m-p 0.0000 0.0000 2044.0053 ++ 553.218810 m 0.0000 1226 | 16/40
17 h-m-p 0.0000 0.0000 619.6547 ++ 553.051662 m 0.0000 1294 | 17/40
18 h-m-p 0.0000 0.0000 1383.2524 ++ 552.272588 m 0.0000 1361 | 18/40
19 h-m-p 0.0000 0.0000 3628.5007 ++ 551.765944 m 0.0000 1427 | 19/40
20 h-m-p 0.0000 0.0000 824.8280 ++ 547.665435 m 0.0000 1492 | 20/40
21 h-m-p 0.0000 0.0000 1341.0695 ++ 547.147513 m 0.0000 1556 | 21/40
22 h-m-p 0.0000 0.0000 367.6373 ++ 545.681623 m 0.0000 1619 | 22/40
23 h-m-p 0.0000 0.0001 201.8214 ++ 543.458794 m 0.0001 1681 | 23/40
24 h-m-p 0.0000 0.0002 118.9778 +YYCYCC 542.116359 5 0.0002 1750 | 23/40
25 h-m-p 0.0001 0.0005 98.8396 YCYCCC 540.604947 5 0.0003 1818 | 23/40
26 h-m-p 0.0001 0.0007 47.8190 +YCCCC 539.847537 4 0.0004 1886 | 23/40
27 h-m-p 0.0002 0.0008 28.8749 CCCCC 539.709164 4 0.0002 1954 | 23/40
28 h-m-p 0.0001 0.0007 34.2603 +YCCCC 539.204719 4 0.0004 2022 | 23/40
29 h-m-p 0.0004 0.0020 22.5391 YCYCCC 538.591576 5 0.0009 2090 | 23/40
30 h-m-p 0.0017 0.0083 6.0369 +YCYCCC 537.829740 5 0.0047 2159 | 23/40
31 h-m-p 0.0012 0.0060 8.2055 CYCCC 537.554639 4 0.0021 2226 | 23/40
32 h-m-p 0.0153 0.0764 0.4936 CYCCC 537.072542 4 0.0275 2293 | 23/40
33 h-m-p 0.0009 0.0047 5.3964 CCCC 536.839471 3 0.0013 2359 | 23/40
34 h-m-p 0.0257 0.3464 0.2735 +YCYCCC 536.494289 5 0.1574 2428 | 23/40
35 h-m-p 0.0182 0.0908 2.1074 CCC 536.139679 2 0.0286 2492 | 23/40
36 h-m-p 0.1574 1.1529 0.3835 CYCC 535.822235 3 0.2162 2557 | 23/40
37 h-m-p 0.3841 3.5455 0.2159 CCC 535.739115 2 0.4315 2621 | 23/40
38 h-m-p 0.9937 8.0000 0.0937 CY 535.693597 1 0.9676 2683 | 23/40
39 h-m-p 1.0457 8.0000 0.0867 CYC 535.670419 2 1.0795 2746 | 23/40
40 h-m-p 1.0622 8.0000 0.0882 +YC 535.637544 1 2.6993 2808 | 23/40
41 h-m-p 1.2273 8.0000 0.1939 YCCC 535.604654 3 2.2904 2873 | 23/40
42 h-m-p 1.6000 8.0000 0.2345 YCC 535.562391 2 2.9927 2936 | 23/40
43 h-m-p 1.6000 8.0000 0.3984 CCC 535.534284 2 1.8601 3000 | 23/40
44 h-m-p 1.5024 8.0000 0.4932 YCCC 535.502193 3 2.9236 3065 | 23/40
45 h-m-p 1.6000 8.0000 0.5986 CC 535.485502 1 2.4082 3127 | 23/40
46 h-m-p 1.6000 8.0000 0.7551 YCC 535.470856 2 3.0694 3190 | 23/40
47 h-m-p 1.6000 8.0000 1.1694 CCC 535.460328 2 2.2800 3254 | 23/40
48 h-m-p 1.6000 8.0000 1.4168 YC 535.450281 1 3.4867 3315 | 23/40
49 h-m-p 1.6000 8.0000 1.8464 YCC 535.444794 2 2.4590 3378 | 23/40
50 h-m-p 1.6000 8.0000 2.1748 YC 535.440813 1 3.4334 3439 | 23/40
51 h-m-p 1.6000 8.0000 2.4138 YC 535.438569 1 2.5072 3500 | 23/40
52 h-m-p 1.6000 8.0000 2.2484 CC 535.437585 1 2.3824 3562 | 23/40
53 h-m-p 1.6000 8.0000 2.1597 ++ 535.435349 m 8.0000 3622 | 23/40
54 h-m-p 1.2933 6.4667 6.5583 YC 535.433512 1 2.3404 3683 | 23/40
55 h-m-p 0.7246 3.6228 7.4698 +C 535.432809 0 2.8920 3744 | 23/40
56 h-m-p 0.1370 0.6850 7.9698 ++ 535.432610 m 0.6850 3804 | 24/40
57 h-m-p 0.0548 8.0000 4.6047 --------------.. | 24/40
58 h-m-p 0.0000 0.0169 1.1859 YC 535.432555 1 0.0001 3936 | 24/40
59 h-m-p 0.0006 0.2247 0.1472 C 535.432552 0 0.0002 3995 | 24/40
60 h-m-p 0.0009 0.4382 0.2213 Y 535.432547 0 0.0005 4054 | 24/40
61 h-m-p 0.0011 0.5523 0.6628 +Y 535.432430 0 0.0037 4114 | 24/40
62 h-m-p 0.0003 0.1294 27.3601 ++CC 535.426238 1 0.0047 4177 | 24/40
63 h-m-p 0.0001 0.0052 863.6582 YC 535.411235 1 0.0003 4237 | 24/40
64 h-m-p 0.0003 0.0042 989.3027 YC 535.401657 1 0.0002 4297 | 24/40
65 h-m-p 0.0011 0.0053 157.2059 -YC 535.400725 1 0.0001 4358 | 24/40
66 h-m-p 0.0009 0.0222 22.4536 YC 535.400554 1 0.0002 4418 | 24/40
67 h-m-p 0.0022 0.0720 1.5825 -Y 535.400547 0 0.0001 4478 | 24/40
68 h-m-p 0.0027 0.4283 0.0557 -Y 535.400546 0 0.0001 4538 | 24/40
69 h-m-p 0.0035 1.7712 0.0443 -Y 535.400546 0 0.0004 4598 | 24/40
70 h-m-p 0.0158 7.9035 0.1131 +Y 535.400501 0 0.0480 4658 | 24/40
71 h-m-p 0.0002 0.0840 56.1931 +C 535.400218 0 0.0006 4718 | 24/40
72 h-m-p 0.0171 0.1404 2.0012 ---C 535.400217 0 0.0001 4780 | 24/40
73 h-m-p 0.0022 0.5969 0.0819 -C 535.400217 0 0.0002 4840 | 24/40
74 h-m-p 0.0160 8.0000 0.0184 ++++YC 535.399700 1 5.1241 4904 | 24/40
75 h-m-p 1.6000 8.0000 0.0116 YC 535.399660 1 1.0300 4964 | 24/40
76 h-m-p 1.6000 8.0000 0.0002 Y 535.399660 0 1.0740 5023 | 24/40
77 h-m-p 1.6000 8.0000 0.0000 -C 535.399660 0 0.1000 5083 | 24/40
78 h-m-p 0.1129 8.0000 0.0000 C 535.399660 0 0.0959 5142 | 24/40
79 h-m-p 0.1075 8.0000 0.0000 ---------Y 535.399660 0 0.0000 5210
Out..
lnL = -535.399660
5211 lfun, 57321 eigenQcodon, 1928070 P(t)
end of tree file.
Time used: 12:56
Model 8: beta&w>1
TREE # 1
(12, 13, 18, 27, 26, 30, 8, 1, 14, 15, 23, 24, 9, 29, 28, (((11, (22, 4, 10), 6, 5, 7, 25), (17, 21)), 16, ((3, 20), 2), 19)); MP score: 20
0.044236 0.022757 0.109567 0.011603 0.051189 0.101981 0.070801 0.062130 0.059278 0.107599 0.076792 0.096953 0.053386 0.103670 0.107208 0.088064 0.022058 0.076921 0.097635 0.047917 0.078792 0.029440 0.027804 0.033008 0.019934 0.053693 0.061287 0.072754 0.042645 0.094556 0.097585 0.015848 0.021361 0.078042 0.072563 0.061284 0.016180 5.172554 0.900000 0.714183 1.081615 1.300000
ntime & nrate & np: 37 2 42
Bounds (np=42):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 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 999.000000 0.999990 99.000000 99.000000 999.000000
Qfactor_NS = 3.484339
np = 42
lnL0 = -675.453765
Iterating by ming2
Initial: fx= 675.453765
x= 0.04424 0.02276 0.10957 0.01160 0.05119 0.10198 0.07080 0.06213 0.05928 0.10760 0.07679 0.09695 0.05339 0.10367 0.10721 0.08806 0.02206 0.07692 0.09763 0.04792 0.07879 0.02944 0.02780 0.03301 0.01993 0.05369 0.06129 0.07275 0.04265 0.09456 0.09758 0.01585 0.02136 0.07804 0.07256 0.06128 0.01618 5.17255 0.90000 0.71418 1.08161 1.30000
1 h-m-p 0.0000 0.0002 300.3926 +++ 656.607033 m 0.0002 90 | 1/42
2 h-m-p 0.0000 0.0000 34082.0938 ++ 644.523112 m 0.0000 177 | 2/42
3 h-m-p 0.0000 0.0000 843.4043 ++ 638.259824 m 0.0000 263 | 3/42
4 h-m-p 0.0000 0.0001 709.3785 ++ 630.391087 m 0.0001 348 | 4/42
5 h-m-p 0.0000 0.0000 447.5619 ++ 628.010719 m 0.0000 432 | 5/42
6 h-m-p 0.0000 0.0000 987.9288 ++ 624.438165 m 0.0000 515 | 6/42
7 h-m-p 0.0000 0.0001 1545.4142 ++ 606.672410 m 0.0001 597 | 7/42
8 h-m-p 0.0000 0.0000 21762.8308 ++ 599.245123 m 0.0000 678 | 8/42
9 h-m-p 0.0000 0.0000 667625.7365 ++ 597.605760 m 0.0000 758 | 9/42
10 h-m-p 0.0000 0.0000 5515.7848 ++ 595.012082 m 0.0000 837 | 10/42
11 h-m-p 0.0000 0.0000 72521.7022 ++ 588.439944 m 0.0000 915 | 11/42
12 h-m-p 0.0000 0.0000 50790.4918 ++ 585.490786 m 0.0000 992 | 12/42
13 h-m-p 0.0000 0.0000 73456.4851 ++ 579.279882 m 0.0000 1068 | 13/42
14 h-m-p 0.0000 0.0000 29503.0355 ++ 573.405552 m 0.0000 1143 | 14/42
15 h-m-p 0.0000 0.0000 206169.8924 ++ 572.024588 m 0.0000 1217 | 15/42
16 h-m-p 0.0000 0.0000 9444.7544 ++ 563.083990 m 0.0000 1290 | 16/42
17 h-m-p 0.0000 0.0000 884952.4795 ++ 557.620258 m 0.0000 1362 | 17/42
18 h-m-p 0.0000 0.0000 179752042.7582
h-m-p: 1.18344964e-11 5.91724819e-11 1.79752043e+08 557.620258
.. | 17/42
19 h-m-p 0.0000 0.0000 206.4335 ++ 556.551410 m 0.0000 1500 | 18/42
20 h-m-p 0.0000 0.0000 452.8317 ++ 554.028877 m 0.0000 1570 | 19/42
21 h-m-p 0.0000 0.0001 219.7969 ++ 552.553624 m 0.0001 1639 | 20/42
22 h-m-p 0.0000 0.0000 533.3760 ++ 550.540085 m 0.0000 1707 | 21/42
23 h-m-p 0.0000 0.0000 446.1223 ++ 550.418047 m 0.0000 1774 | 22/42
24 h-m-p 0.0000 0.0000 1353.0883 ++ 550.010570 m 0.0000 1840 | 23/42
25 h-m-p 0.0000 0.0006 311.5157 ++YCYYCCC 541.716498 6 0.0006 1917 | 23/42
26 h-m-p 0.0000 0.0001 560.1097 YCYCCC 540.829961 5 0.0001 1989 | 23/42
27 h-m-p 0.0000 0.0002 228.3420 YCCCC 540.472464 4 0.0001 2060 | 23/42
28 h-m-p 0.0001 0.0005 93.1581 CCCCC 540.078334 4 0.0002 2132 | 23/42
29 h-m-p 0.0002 0.0011 35.1965 CCCC 539.892469 3 0.0003 2202 | 23/42
30 h-m-p 0.0002 0.0010 59.9811 +YCCC 539.372526 3 0.0006 2272 | 23/42
31 h-m-p 0.0000 0.0002 105.4136 ++ 538.724733 m 0.0002 2336 | 23/42
32 h-m-p 0.0000 0.0000 503.9582
h-m-p: 0.00000000e+00 0.00000000e+00 5.03958168e+02 538.724733
.. | 23/42
33 h-m-p 0.0000 0.0004 143.2195 ++YYCCCCC 536.996273 6 0.0002 2473 | 23/42
34 h-m-p 0.0001 0.0004 102.8784 YCCCCC 536.312257 5 0.0002 2546 | 23/42
35 h-m-p 0.0001 0.0004 102.1819 CYCCC 535.936044 4 0.0001 2617 | 23/42
36 h-m-p 0.0001 0.0006 28.4787 CCCC 535.874525 3 0.0002 2687 | 23/42
37 h-m-p 0.0001 0.0004 20.5854 YCC 535.855433 2 0.0001 2754 | 23/42
38 h-m-p 0.0000 0.0002 14.0352 ++ 535.841537 m 0.0002 2818 | 24/42
39 h-m-p 0.0002 0.0025 10.9937 YCC 535.806858 2 0.0003 2885 | 24/42
40 h-m-p 0.0002 0.0052 15.8749 CCC 535.786382 2 0.0002 2952 | 24/42
41 h-m-p 0.0002 0.0028 14.9669 CCC 535.769232 2 0.0002 3019 | 24/42
42 h-m-p 0.0003 0.0024 11.9829 CC 535.764985 1 0.0001 3084 | 24/42
43 h-m-p 0.0004 0.0173 3.3417 CC 535.764320 1 0.0001 3149 | 24/42
44 h-m-p 0.0007 0.0263 0.7009 C 535.764259 0 0.0002 3212 | 24/42
45 h-m-p 0.0003 0.0857 0.4613 +CC 535.763995 1 0.0009 3278 | 24/42
46 h-m-p 0.0001 0.0637 2.8205 ++YC 535.754026 1 0.0045 3344 | 24/42
47 h-m-p 0.0001 0.0059 87.9724 +YCCC 535.660589 3 0.0013 3413 | 24/42
48 h-m-p 0.0002 0.0008 301.2692 YCC 535.638709 2 0.0001 3479 | 24/42
49 h-m-p 0.0143 0.0714 0.3834 --C 535.638689 0 0.0003 3544 | 24/42
50 h-m-p 0.0160 8.0000 0.2163 +++YCC 535.612549 2 0.7799 3613 | 24/42
51 h-m-p 1.1148 8.0000 0.1513 +YC 535.583099 1 3.4655 3678 | 24/42
52 h-m-p 1.6000 8.0000 0.3007 YCC 535.541749 2 3.1436 3744 | 24/42
53 h-m-p 1.6000 8.0000 0.5307 CYC 535.511409 2 2.0756 3810 | 24/42
54 h-m-p 1.6000 8.0000 0.6624 YCC 535.488794 2 2.5215 3876 | 24/42
55 h-m-p 1.6000 8.0000 0.8030 YCCC 535.471023 3 3.3111 3944 | 24/42
56 h-m-p 1.6000 8.0000 1.2284 YC 535.458157 1 2.8561 4008 | 24/42
57 h-m-p 1.6000 8.0000 1.6903 YCC 535.449425 2 2.8666 4074 | 24/42
58 h-m-p 1.6000 8.0000 2.9232 CYC 535.442529 2 2.0790 4140 | 24/42
59 h-m-p 1.5983 8.0000 3.8024 CC 535.436724 1 2.3959 4205 | 24/42
60 h-m-p 1.6000 8.0000 4.6094 CCC 535.433171 2 2.3347 4272 | 24/42
61 h-m-p 1.6000 8.0000 4.2568 CC 535.432056 1 2.0078 4337 | 24/42
62 h-m-p 1.6000 8.0000 2.7503 +YC 535.431305 1 4.1638 4402 | 24/42
63 h-m-p 1.4815 7.4077 4.9234 ++ 535.428861 m 7.4077 4465 | 25/42
64 h-m-p 0.5953 8.0000 3.3095 ----------------.. | 25/42
65 h-m-p 0.0000 0.0043 2.9326 +YC 535.428449 1 0.0001 4606 | 25/42
66 h-m-p 0.0002 0.0368 1.1371 YC 535.428354 1 0.0002 4669 | 25/42
67 h-m-p 0.0007 0.1189 0.2688 Y 535.428350 0 0.0001 4731 | 25/42
68 h-m-p 0.0009 0.4392 0.1539 C 535.428346 0 0.0003 4793 | 25/42
69 h-m-p 0.0009 0.4309 0.2406 Y 535.428330 0 0.0015 4855 | 25/42
70 h-m-p 0.0005 0.2429 3.8062 +YC 535.427662 1 0.0038 4919 | 25/42
71 h-m-p 0.0001 0.0246 108.0779 +YC 535.423303 1 0.0009 4983 | 25/42
72 h-m-p 0.0001 0.0061 723.3273 +CCC 535.401881 2 0.0006 5050 | 25/42
73 h-m-p 0.0005 0.0025 276.5238 CC 535.400473 1 0.0001 5114 | 25/42
74 h-m-p 0.0016 0.0180 18.7839 -CC 535.400361 1 0.0001 5179 | 25/42
75 h-m-p 0.0022 0.0468 1.0849 -Y 535.400356 0 0.0001 5242 | 25/42
76 h-m-p 0.0039 0.4335 0.0281 -Y 535.400356 0 0.0001 5305 | 25/42
77 h-m-p 0.0104 5.1778 0.0296 Y 535.400356 0 0.0015 5367 | 25/42
78 h-m-p 0.0160 8.0000 0.2548 +CC 535.400173 1 0.0845 5432 | 25/42
79 h-m-p 0.0010 0.1495 22.3055 -C 535.400156 0 0.0001 5495 | 25/42
80 h-m-p 0.0732 0.5886 0.0285 ----Y 535.400156 0 0.0001 5561 | 25/42
81 h-m-p 0.0160 8.0000 0.0167 ++++C 535.399853 0 4.3304 5627 | 25/42
82 h-m-p 1.6000 8.0000 0.0124 YC 535.399830 1 0.9850 5690 | 25/42
83 h-m-p 1.6000 8.0000 0.0002 Y 535.399830 0 1.0720 5752 | 25/42
84 h-m-p 1.6000 8.0000 0.0000 Y 535.399830 0 2.8694 5814 | 25/42
85 h-m-p 0.5893 8.0000 0.0002 ++ 535.399830 m 8.0000 5876 | 25/42
86 h-m-p 0.6987 8.0000 0.0023 ++ 535.399830 m 8.0000 5938 | 25/42
87 h-m-p 0.4947 8.0000 0.0368 ++Y 535.399827 0 5.6911 6002 | 25/42
88 h-m-p 1.6000 8.0000 0.1222 ++ 535.399798 m 8.0000 6064 | 25/42
89 h-m-p 0.3219 1.6094 1.1769 ++ 535.399732 m 1.6094 6126 | 26/42
90 h-m-p 1.6000 8.0000 0.0008 Y 535.399732 0 0.8791 6188 | 26/42
91 h-m-p 1.6000 8.0000 0.0002 Y 535.399732 0 1.0693 6249 | 26/42
92 h-m-p 1.6000 8.0000 0.0000 -C 535.399732 0 0.1000 6311 | 26/42
93 h-m-p 0.1113 8.0000 0.0000 -----Y 535.399732 0 0.0000 6377
Out..
lnL = -535.399732
6378 lfun, 76536 eigenQcodon, 2595846 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) = -546.368681 S = -525.247042 -34.269514
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 53 patterns 24:35
did 20 / 53 patterns 24:36
did 30 / 53 patterns 24:36
did 40 / 53 patterns 24:36
did 50 / 53 patterns 24:36
did 53 / 53 patterns 24:36end of tree file.
Time used: 24:36
The loglikelihoods for models M1, M2, M7 and M8 are -535.393140 -535.393069 -535.399660 -535.399732 respectively
CLUSTAL W (1.8) multiple sequence alignment (ALTER 1.3.3)
OC43_human_USA_901_41_1990_nsp6_VIPR_ALG4_530802215_12557_12886_1_1990_01_17_USA_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
PHEV_CoV_swine_USA_15TOSU1655_2015_nsp6_VIPR_ALG4_ARC95241_1_12578_12907_1_2015_08_01_USA_Swine_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
PHEV_CoV_swine_USA_15TOSU0331_2015_nsp6_VIPR_ALG4_ARC95209_1_12538_12867_1_2015_08_15_USA_Swine_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
TCG_31_nsp6_VIPR_ALG4_BBM61554_1_12550_12879_1_2017_12_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
R_AH187_nsp6_VIPR_ALG4_145208950_12561_12890_1_NA_USA_Cattle_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
IWT_6_nsp6_VIPR_ALG4_BBM60994_1_12550_12879_1_2012_12_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
SHG_5_nsp6_VIPR_ALG4_BBM61234_1_12549_12878_1_2016_06_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
2145A_2010_nsp6_VIPR_ALG4_701216631_12576_12905_1_2010_07_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDHTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
TCG_33_nsp6_VIPR_ALG4_BBM61574_1_12550_12879_1_2017_12_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
TCG_5_nsp6_VIPR_ALG4_BBM61264_1_12543_12872_1_2007_12_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
OC43_human_USA_931_85_1993_nsp6_VIPR_ALG4_530802489_12557_12886_1_1993_01_26_USA_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
5472_2007_nsp6_VIPR_ALG4_701216722_12576_12905_1_2007_06_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
TNP_12636_nsp6_VIPR_ALG4_AWW13571_1_12570_12899_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
TNP_F1832_2_nsp6_VIPR_ALG4_AWW13532_1_12553_12882_1_2016_12_26_Cote_dIvoire_Chimpanzee_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
NC99_nsp6_VIPR_ALG4_145588176_12714_13043_1_NA_NA_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
HKU23_368F_nsp6_VIPR_ALG4_600997095_12581_12910_1_2013_05_21_United_Arab_Emirates_Camel_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
OC43_human_USA_9212_33_1992_nsp6_VIPR_ALG4_530802314_12554_12883_1_1992_12_16_USA_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
Kakegawa_nsp6_VIPR_ALG4_155369168_12577_12906_1_NA_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSYNGKIVYAILSDVDGLKYTKILKDDGN
JL_2008_nsp6_VIPR_ALG4_AUF40271_1_12574_12903_1_2008_08_21_China_Swine_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
UNKNOWN_FJ425190_nsp6_VIPR_ALG4_215478164_12547_12876_1_1994_01_01_USA_Deer_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
TCG_20_nsp6_VIPR_ALG4_BBM61444_1_12540_12869_1_2016_12_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
3269A_2012_nsp6_VIPR_ALG4_701216694_12576_12905_1_2012_06_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
5519_2007_nsp6_VIPR_ALG4_701216827_12576_12905_1_2007_06_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
IWT_9_nsp6_VIPR_ALG4_BBM60924_1_12553_12882_1_2012_04_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
8164_2009_nsp6_VIPR_ALG4_701216869_12576_12905_1_2009_03_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
5370_2007_nsp6_VIPR_ALG4_701216764_12576_12905_1_2007_05_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
5414_2007_nsp6_VIPR_ALG4_701216771_12576_12905_1_2007_06_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
5345_2007_nsp6_VIPR_ALG4_701216659_12576_12905_1_2007_05_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
2002_04_nsp6_VIPR_ALG4_ATP16754_1_12491_12820_1_2002_France_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGN
********** ********:************* **************************
OC43_human_USA_901_41_1990_nsp6_VIPR_ALG4_530802215_12557_12886_1_1990_01_17_USA_Human_Betacoronavirus_1 FVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
PHEV_CoV_swine_USA_15TOSU1655_2015_nsp6_VIPR_ALG4_ARC95241_1_12578_12907_1_2015_08_01_USA_Swine_Betacoronavirus_1 FVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
PHEV_CoV_swine_USA_15TOSU0331_2015_nsp6_VIPR_ALG4_ARC95209_1_12538_12867_1_2015_08_15_USA_Swine_Betacoronavirus_1 FVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
TCG_31_nsp6_VIPR_ALG4_BBM61554_1_12550_12879_1_2017_12_Japan_Unknown_Betacoronavirus_1 FVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
R_AH187_nsp6_VIPR_ALG4_145208950_12561_12890_1_NA_USA_Cattle_Betacoronavirus_1 FVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
IWT_6_nsp6_VIPR_ALG4_BBM60994_1_12550_12879_1_2012_12_Japan_Unknown_Betacoronavirus_1 FVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
SHG_5_nsp6_VIPR_ALG4_BBM61234_1_12549_12878_1_2016_06_Japan_Unknown_Betacoronavirus_1 FVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
2145A_2010_nsp6_VIPR_ALG4_701216631_12576_12905_1_2010_07_China_Human_Betacoronavirus_1 FVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_1 FVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
TCG_33_nsp6_VIPR_ALG4_BBM61574_1_12550_12879_1_2017_12_Japan_Unknown_Betacoronavirus_1 FVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
TCG_5_nsp6_VIPR_ALG4_BBM61264_1_12543_12872_1_2007_12_Japan_Unknown_Betacoronavirus_1 FVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
OC43_human_USA_931_85_1993_nsp6_VIPR_ALG4_530802489_12557_12886_1_1993_01_26_USA_Human_Betacoronavirus_1 FVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
5472_2007_nsp6_VIPR_ALG4_701216722_12576_12905_1_2007_06_China_Human_Betacoronavirus_1 FVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
TNP_12636_nsp6_VIPR_ALG4_AWW13571_1_12570_12899_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1 FVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
TNP_F1832_2_nsp6_VIPR_ALG4_AWW13532_1_12553_12882_1_2016_12_26_Cote_dIvoire_Chimpanzee_Betacoronavirus_1 FVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
NC99_nsp6_VIPR_ALG4_145588176_12714_13043_1_NA_NA_Unknown_Betacoronavirus_1 FVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
HKU23_368F_nsp6_VIPR_ALG4_600997095_12581_12910_1_2013_05_21_United_Arab_Emirates_Camel_Betacoronavirus_1 FVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
OC43_human_USA_9212_33_1992_nsp6_VIPR_ALG4_530802314_12554_12883_1_1992_12_16_USA_Human_Betacoronavirus_1 FVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
Kakegawa_nsp6_VIPR_ALG4_155369168_12577_12906_1_NA_Japan_Unknown_Betacoronavirus_1 FVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
JL_2008_nsp6_VIPR_ALG4_AUF40271_1_12574_12903_1_2008_08_21_China_Swine_Betacoronavirus_1 FVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
UNKNOWN_FJ425190_nsp6_VIPR_ALG4_215478164_12547_12876_1_1994_01_01_USA_Deer_Betacoronavirus_1 FVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
TCG_20_nsp6_VIPR_ALG4_BBM61444_1_12540_12869_1_2016_12_Japan_Unknown_Betacoronavirus_1 FVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
3269A_2012_nsp6_VIPR_ALG4_701216694_12576_12905_1_2012_06_China_Human_Betacoronavirus_1 FVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
5519_2007_nsp6_VIPR_ALG4_701216827_12576_12905_1_2007_06_China_Human_Betacoronavirus_1 FVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
IWT_9_nsp6_VIPR_ALG4_BBM60924_1_12553_12882_1_2012_04_Japan_Unknown_Betacoronavirus_1 FVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
8164_2009_nsp6_VIPR_ALG4_701216869_12576_12905_1_2009_03_China_Human_Betacoronavirus_1 FVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
5370_2007_nsp6_VIPR_ALG4_701216764_12576_12905_1_2007_05_China_Human_Betacoronavirus_1 FVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
5414_2007_nsp6_VIPR_ALG4_701216771_12576_12905_1_2007_06_China_Human_Betacoronavirus_1 FVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
5345_2007_nsp6_VIPR_ALG4_701216659_12576_12905_1_2007_05_China_Human_Betacoronavirus_1 FVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
2002_04_nsp6_VIPR_ALG4_ATP16754_1_12491_12820_1_2002_France_Human_Betacoronavirus_1 FVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
****************.*********************************
>OC43_human_USA_901_41_1990_nsp6_VIPR_ALG4_530802215_12557_12886_1_1990_01_17_USA_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >PHEV_CoV_swine_USA_15TOSU1655_2015_nsp6_VIPR_ALG4_ARC95241_1_12578_12907_1_2015_08_01_USA_Swine_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAATTGAAAACTCAGGTTGTTAATAGTGGTCCAGACCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTCGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >PHEV_CoV_swine_USA_15TOSU0331_2015_nsp6_VIPR_ALG4_ARC95209_1_12538_12867_1_2015_08_15_USA_Swine_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAATTGAAAACTCAGGTTGTTAATAGTGGTCCAGACCAGACTTGTAATACACCTACTCAGTGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTCTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >TCG_31_nsp6_VIPR_ALG4_BBM61554_1_12550_12879_1_2017_12_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGCAACACACTAGCAAGGGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >R_AH187_nsp6_VIPR_ALG4_145208950_12561_12890_1_NA_USA_Cattle_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >IWT_6_nsp6_VIPR_ALG4_BBM60994_1_12550_12879_1_2012_12_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >SHG_5_nsp6_VIPR_ALG4_BBM61234_1_12549_12878_1_2016_06_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >2145A_2010_nsp6_VIPR_ALG4_701216631_12576_12905_1_2010_07_China_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCATACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >TCG_33_nsp6_VIPR_ALG4_BBM61574_1_12550_12879_1_2017_12_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGCAACACACTAGCAAGGGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >TCG_5_nsp6_VIPR_ALG4_BBM61264_1_12543_12872_1_2007_12_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >OC43_human_USA_931_85_1993_nsp6_VIPR_ALG4_530802489_12557_12886_1_1993_01_26_USA_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >5472_2007_nsp6_VIPR_ALG4_701216722_12576_12905_1_2007_06_China_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >TNP_12636_nsp6_VIPR_ALG4_AWW13571_1_12570_12899_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >TNP_F1832_2_nsp6_VIPR_ALG4_AWW13532_1_12553_12882_1_2016_12_26_Cote_dIvoire_Chimpanzee_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >NC99_nsp6_VIPR_ALG4_145588176_12714_13043_1_NA_NA_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAACAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >HKU23_368F_nsp6_VIPR_ALG4_600997095_12581_12910_1_2013_05_21_United_Arab_Emirates_Camel_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAACAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAGATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGATGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >OC43_human_USA_9212_33_1992_nsp6_VIPR_ALG4_530802314_12554_12883_1_1992_12_16_USA_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >Kakegawa_nsp6_VIPR_ALG4_155369168_12577_12906_1_NA_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTTACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >JL_2008_nsp6_VIPR_ALG4_AUF40271_1_12574_12903_1_2008_08_21_China_Swine_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAATTGAAAACTCAGGTTGTTAATAGTGGTCCAGACCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTCTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >UNKNOWN_FJ425190_nsp6_VIPR_ALG4_215478164_12547_12876_1_1994_01_01_USA_Deer_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAGATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGATGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >TCG_20_nsp6_VIPR_ALG4_BBM61444_1_12540_12869_1_2016_12_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGCAACACACTAGCAAGGGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >3269A_2012_nsp6_VIPR_ALG4_701216694_12576_12905_1_2012_06_China_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >5519_2007_nsp6_VIPR_ALG4_701216827_12576_12905_1_2007_06_China_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >IWT_9_nsp6_VIPR_ALG4_BBM60924_1_12553_12882_1_2012_04_Japan_Unknown_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAACTCAGGTCGTTAATAGTGGTCCAGATCAGACTTGTAACACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGACTTAAGTATACAAAGATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGTTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >8164_2009_nsp6_VIPR_ALG4_701216869_12576_12905_1_2009_03_China_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >5370_2007_nsp6_VIPR_ALG4_701216764_12576_12905_1_2007_05_China_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >5414_2007_nsp6_VIPR_ALG4_701216771_12576_12905_1_2007_06_China_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >5345_2007_nsp6_VIPR_ALG4_701216659_12576_12905_1_2007_05_China_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA >2002_04_nsp6_VIPR_ALG4_ATP16754_1_12491_12820_1_2002_France_Human_Betacoronavirus_1 AATAATGAATTAATGCCTGCTAAGTTGAAAATTCAGGTTGTTAATAGTGGTCCAGATCAGACTTGTAATACACCTACTCAATGTTACTATAATAATAGTAACAATGGGAAGATTGTTTATGCTATACTTAGTGATGTTGATGGTCTTAAGTATACAAAAATTCTTAAAGATGATGGCAATTTTGTTGTTTTGGAGTTAGATCCTCCTTGTAAATTTACTGTTCAAGATGCTAAAGGTCTTAAAATTAAGTACCTTTATTTTGTAAAAGGTTGTAACACACTAGCAAGAGGCTGGGTTGTTGGTACAATTTCTTCTACAGTTAGATTGCAA
>OC43_human_USA_901_41_1990_nsp6_VIPR_ALG4_530802215_12557_12886_1_1990_01_17_USA_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >PHEV_CoV_swine_USA_15TOSU1655_2015_nsp6_VIPR_ALG4_ARC95241_1_12578_12907_1_2015_08_01_USA_Swine_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >PHEV_CoV_swine_USA_15TOSU0331_2015_nsp6_VIPR_ALG4_ARC95209_1_12538_12867_1_2015_08_15_USA_Swine_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >TCG_31_nsp6_VIPR_ALG4_BBM61554_1_12550_12879_1_2017_12_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >R_AH187_nsp6_VIPR_ALG4_145208950_12561_12890_1_NA_USA_Cattle_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >IWT_6_nsp6_VIPR_ALG4_BBM60994_1_12550_12879_1_2012_12_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >SHG_5_nsp6_VIPR_ALG4_BBM61234_1_12549_12878_1_2016_06_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >2145A_2010_nsp6_VIPR_ALG4_701216631_12576_12905_1_2010_07_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDHTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >TCG_33_nsp6_VIPR_ALG4_BBM61574_1_12550_12879_1_2017_12_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >TCG_5_nsp6_VIPR_ALG4_BBM61264_1_12543_12872_1_2007_12_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >OC43_human_USA_931_85_1993_nsp6_VIPR_ALG4_530802489_12557_12886_1_1993_01_26_USA_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >5472_2007_nsp6_VIPR_ALG4_701216722_12576_12905_1_2007_06_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >TNP_12636_nsp6_VIPR_ALG4_AWW13571_1_12570_12899_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >TNP_F1832_2_nsp6_VIPR_ALG4_AWW13532_1_12553_12882_1_2016_12_26_Cote_dIvoire_Chimpanzee_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >NC99_nsp6_VIPR_ALG4_145588176_12714_13043_1_NA_NA_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >HKU23_368F_nsp6_VIPR_ALG4_600997095_12581_12910_1_2013_05_21_United_Arab_Emirates_Camel_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >OC43_human_USA_9212_33_1992_nsp6_VIPR_ALG4_530802314_12554_12883_1_1992_12_16_USA_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >Kakegawa_nsp6_VIPR_ALG4_155369168_12577_12906_1_NA_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSYNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >JL_2008_nsp6_VIPR_ALG4_AUF40271_1_12574_12903_1_2008_08_21_China_Swine_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >UNKNOWN_FJ425190_nsp6_VIPR_ALG4_215478164_12547_12876_1_1994_01_01_USA_Deer_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >TCG_20_nsp6_VIPR_ALG4_BBM61444_1_12540_12869_1_2016_12_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >3269A_2012_nsp6_VIPR_ALG4_701216694_12576_12905_1_2012_06_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >5519_2007_nsp6_VIPR_ALG4_701216827_12576_12905_1_2007_06_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >IWT_9_nsp6_VIPR_ALG4_BBM60924_1_12553_12882_1_2012_04_Japan_Unknown_Betacoronavirus_1 NNELMPAKLKTQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDVKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >8164_2009_nsp6_VIPR_ALG4_701216869_12576_12905_1_2009_03_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >5370_2007_nsp6_VIPR_ALG4_701216764_12576_12905_1_2007_05_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >5414_2007_nsp6_VIPR_ALG4_701216771_12576_12905_1_2007_06_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >5345_2007_nsp6_VIPR_ALG4_701216659_12576_12905_1_2007_05_China_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ >2002_04_nsp6_VIPR_ALG4_ATP16754_1_12491_12820_1_2002_France_Human_Betacoronavirus_1 NNELMPAKLKIQVVNSGPDQTCNTPTQCYYNNSNNGKIVYAILSDVDGLKYTKILKDDGNFVVLELDPPCKFTVQDAKGLKIKYLYFVKGCNTLARGWVVGTISSTVRLQ
Reading sequence file /data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/codeml/fasta/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1
Found 30 sequences of length 330
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 1.2%
Found 13 informative sites.
Writing alignment of informative sites to: Phi.inf.sites
Writing list of informative sites to: Phi.inf.list
Calculating all pairwise incompatibilities...
Done: 0.0%100.0%
Using a window size of 80 with k as 3
Calculating analytical mean and variance
Doing permutation test for PHI
Doing permutation test for NSS
Doing Permutation test for MAXCHI
Writing alignment of polymorphic unambig sites to: Phi.poly.sites
Window size is 12 polymorphic sites
**p-Value(s)**
----------
NSS: 6.45e-01 (1000 permutations)
Max Chi^2: 9.46e-01 (1000 permutations)
PHI (Permutation): 9.11e-01 (1000 permutations)
PHI (Normal): 8.03e-01
#NEXUS
[ID: 8252706900]
begin taxa;
dimensions ntax=30;
taxlabels
OC43_human_USA_931_85_1993_nsp6_VIPR_ALG4_530802489_12557_12886_1_1993_01_26_USA_Human_Betacoronavirus_1
TCG_5_nsp6_VIPR_ALG4_BBM61264_1_12543_12872_1_2007_12_Japan_Unknown_Betacoronavirus_1
5472_2007_nsp6_VIPR_ALG4_701216722_12576_12905_1_2007_06_China_Human_Betacoronavirus_1
HKU23_368F_nsp6_VIPR_ALG4_600997095_12581_12910_1_2013_05_21_United_Arab_Emirates_Camel_Betacoronavirus_1
NC99_nsp6_VIPR_ALG4_145588176_12714_13043_1_NA_NA_Unknown_Betacoronavirus_1
OC43_human_USA_9212_33_1992_nsp6_VIPR_ALG4_530802314_12554_12883_1_1992_12_16_USA_Human_Betacoronavirus_1
TCG_20_nsp6_VIPR_ALG4_BBM61444_1_12540_12869_1_2016_12_Japan_Unknown_Betacoronavirus_1
UNKNOWN_FJ425190_nsp6_VIPR_ALG4_215478164_12547_12876_1_1994_01_01_USA_Deer_Betacoronavirus_1
5370_2007_nsp6_VIPR_ALG4_701216764_12576_12905_1_2007_05_China_Human_Betacoronavirus_1
8164_2009_nsp6_VIPR_ALG4_701216869_12576_12905_1_2009_03_China_Human_Betacoronavirus_1
TCG_31_nsp6_VIPR_ALG4_BBM61554_1_12550_12879_1_2017_12_Japan_Unknown_Betacoronavirus_1
2002_04_nsp6_VIPR_ALG4_ATP16754_1_12491_12820_1_2002_France_Human_Betacoronavirus_1
2145A_2010_nsp6_VIPR_ALG4_701216631_12576_12905_1_2010_07_China_Human_Betacoronavirus_1
OC43_human_USA_901_41_1990_nsp6_VIPR_ALG4_530802215_12557_12886_1_1990_01_17_USA_Human_Betacoronavirus_1
PHEV_CoV_swine_USA_15TOSU0331_2015_nsp6_VIPR_ALG4_ARC95209_1_12538_12867_1_2015_08_15_USA_Swine_Betacoronavirus_1
PHEV_CoV_swine_USA_15TOSU1655_2015_nsp6_VIPR_ALG4_ARC95241_1_12578_12907_1_2015_08_01_USA_Swine_Betacoronavirus_1
IWT_6_nsp6_VIPR_ALG4_BBM60994_1_12550_12879_1_2012_12_Japan_Unknown_Betacoronavirus_1
R_AH187_nsp6_VIPR_ALG4_145208950_12561_12890_1_NA_USA_Cattle_Betacoronavirus_1
SHG_5_nsp6_VIPR_ALG4_BBM61234_1_12549_12878_1_2016_06_Japan_Unknown_Betacoronavirus_1
TCG_33_nsp6_VIPR_ALG4_BBM61574_1_12550_12879_1_2017_12_Japan_Unknown_Betacoronavirus_1
TNP_12636_nsp6_VIPR_ALG4_AWW13571_1_12570_12899_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1
TNP_F1832_2_nsp6_VIPR_ALG4_AWW13532_1_12553_12882_1_2016_12_26_Cote_dIvoire_Chimpanzee_Betacoronavirus_1
JL_2008_nsp6_VIPR_ALG4_AUF40271_1_12574_12903_1_2008_08_21_China_Swine_Betacoronavirus_1
Kakegawa_nsp6_VIPR_ALG4_155369168_12577_12906_1_NA_Japan_Unknown_Betacoronavirus_1
IWT_9_nsp6_VIPR_ALG4_BBM60924_1_12553_12882_1_2012_04_Japan_Unknown_Betacoronavirus_1
3269A_2012_nsp6_VIPR_ALG4_701216694_12576_12905_1_2012_06_China_Human_Betacoronavirus_1
5519_2007_nsp6_VIPR_ALG4_701216827_12576_12905_1_2007_06_China_Human_Betacoronavirus_1
10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_1
5345_2007_nsp6_VIPR_ALG4_701216659_12576_12905_1_2007_05_China_Human_Betacoronavirus_1
5414_2007_nsp6_VIPR_ALG4_701216771_12576_12905_1_2007_06_China_Human_Betacoronavirus_1
;
end;
begin trees;
translate
1 OC43_human_USA_931_85_1993_nsp6_VIPR_ALG4_530802489_12557_12886_1_1993_01_26_USA_Human_Betacoronavirus_1,
2 TCG_5_nsp6_VIPR_ALG4_BBM61264_1_12543_12872_1_2007_12_Japan_Unknown_Betacoronavirus_1,
3 5472_2007_nsp6_VIPR_ALG4_701216722_12576_12905_1_2007_06_China_Human_Betacoronavirus_1,
4 HKU23_368F_nsp6_VIPR_ALG4_600997095_12581_12910_1_2013_05_21_United_Arab_Emirates_Camel_Betacoronavirus_1,
5 NC99_nsp6_VIPR_ALG4_145588176_12714_13043_1_NA_NA_Unknown_Betacoronavirus_1,
6 OC43_human_USA_9212_33_1992_nsp6_VIPR_ALG4_530802314_12554_12883_1_1992_12_16_USA_Human_Betacoronavirus_1,
7 TCG_20_nsp6_VIPR_ALG4_BBM61444_1_12540_12869_1_2016_12_Japan_Unknown_Betacoronavirus_1,
8 UNKNOWN_FJ425190_nsp6_VIPR_ALG4_215478164_12547_12876_1_1994_01_01_USA_Deer_Betacoronavirus_1,
9 5370_2007_nsp6_VIPR_ALG4_701216764_12576_12905_1_2007_05_China_Human_Betacoronavirus_1,
10 8164_2009_nsp6_VIPR_ALG4_701216869_12576_12905_1_2009_03_China_Human_Betacoronavirus_1,
11 TCG_31_nsp6_VIPR_ALG4_BBM61554_1_12550_12879_1_2017_12_Japan_Unknown_Betacoronavirus_1,
12 2002_04_nsp6_VIPR_ALG4_ATP16754_1_12491_12820_1_2002_France_Human_Betacoronavirus_1,
13 2145A_2010_nsp6_VIPR_ALG4_701216631_12576_12905_1_2010_07_China_Human_Betacoronavirus_1,
14 OC43_human_USA_901_41_1990_nsp6_VIPR_ALG4_530802215_12557_12886_1_1990_01_17_USA_Human_Betacoronavirus_1,
15 PHEV_CoV_swine_USA_15TOSU0331_2015_nsp6_VIPR_ALG4_ARC95209_1_12538_12867_1_2015_08_15_USA_Swine_Betacoronavirus_1,
16 PHEV_CoV_swine_USA_15TOSU1655_2015_nsp6_VIPR_ALG4_ARC95241_1_12578_12907_1_2015_08_01_USA_Swine_Betacoronavirus_1,
17 IWT_6_nsp6_VIPR_ALG4_BBM60994_1_12550_12879_1_2012_12_Japan_Unknown_Betacoronavirus_1,
18 R_AH187_nsp6_VIPR_ALG4_145208950_12561_12890_1_NA_USA_Cattle_Betacoronavirus_1,
19 SHG_5_nsp6_VIPR_ALG4_BBM61234_1_12549_12878_1_2016_06_Japan_Unknown_Betacoronavirus_1,
20 TCG_33_nsp6_VIPR_ALG4_BBM61574_1_12550_12879_1_2017_12_Japan_Unknown_Betacoronavirus_1,
21 TNP_12636_nsp6_VIPR_ALG4_AWW13571_1_12570_12899_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1,
22 TNP_F1832_2_nsp6_VIPR_ALG4_AWW13532_1_12553_12882_1_2016_12_26_Cote_dIvoire_Chimpanzee_Betacoronavirus_1,
23 JL_2008_nsp6_VIPR_ALG4_AUF40271_1_12574_12903_1_2008_08_21_China_Swine_Betacoronavirus_1,
24 Kakegawa_nsp6_VIPR_ALG4_155369168_12577_12906_1_NA_Japan_Unknown_Betacoronavirus_1,
25 IWT_9_nsp6_VIPR_ALG4_BBM60924_1_12553_12882_1_2012_04_Japan_Unknown_Betacoronavirus_1,
26 3269A_2012_nsp6_VIPR_ALG4_701216694_12576_12905_1_2012_06_China_Human_Betacoronavirus_1,
27 5519_2007_nsp6_VIPR_ALG4_701216827_12576_12905_1_2007_06_China_Human_Betacoronavirus_1,
28 10285_2010_nsp6_VIPR_ALG4_701216680_12576_12905_1_2010_07_China_Human_Betacoronavirus_1,
29 5345_2007_nsp6_VIPR_ALG4_701216659_12576_12905_1_2007_05_China_Human_Betacoronavirus_1,
30 5414_2007_nsp6_VIPR_ALG4_701216771_12576_12905_1_2007_06_China_Human_Betacoronavirus_1
;
[Note: This tree contains information on the topology,
branch lengths (if present), and the probability
of the partition indicated by the branch.]
tree con_50_majrule = (1:6.745718e-04,3:6.988888e-04,6:7.123834e-04,9:6.696911e-04,10:6.527012e-04,12:6.693829e-04,13:1.586605e-03,14:7.050393e-04,21:6.657030e-04,22:6.400099e-04,26:6.811037e-04,27:6.797566e-04,28:6.710530e-04,29:6.389744e-04,30:6.408760e-04,(((2:6.852645e-04,(7:7.025368e-04,11:6.503256e-04,20:6.673313e-04)0.998:3.223323e-03,17:6.455917e-04,18:6.536053e-04,19:6.563770e-04,25:1.618367e-03)0.987:2.703916e-03,(4:1.464658e-03,8:7.729723e-04)1.000:3.046893e-03)0.617:1.590756e-03,5:1.563191e-03,((15:1.629254e-03,23:7.046106e-04)0.922:1.571983e-03,16:1.645013e-03)0.997:2.707460e-03,24:1.579415e-03)0.980:2.561630e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:6.745718e-04,3:6.988888e-04,6:7.123834e-04,9:6.696911e-04,10:6.527012e-04,12:6.693829e-04,13:1.586605e-03,14:7.050393e-04,21:6.657030e-04,22:6.400099e-04,26:6.811037e-04,27:6.797566e-04,28:6.710530e-04,29:6.389744e-04,30:6.408760e-04,(((2:6.852645e-04,(7:7.025368e-04,11:6.503256e-04,20:6.673313e-04):3.223323e-03,17:6.455917e-04,18:6.536053e-04,19:6.563770e-04,25:1.618367e-03):2.703916e-03,(4:1.464658e-03,8:7.729723e-04):3.046893e-03):1.590756e-03,5:1.563191e-03,((15:1.629254e-03,23:7.046106e-04):1.571983e-03,16:1.645013e-03):2.707460e-03,24:1.579415e-03):2.561630e-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 -589.54 -605.15
2 -589.93 -606.17
--------------------------------------
TOTAL -589.71 -605.79
--------------------------------------
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} 0.078476 0.000589 0.037946 0.129316 0.074769 845.70 847.84 1.000
r(A<->C){all} 0.088002 0.003670 0.000601 0.202319 0.074698 176.78 230.83 1.004
r(A<->G){all} 0.210242 0.006594 0.057109 0.363295 0.199846 151.83 170.07 1.000
r(A<->T){all} 0.054851 0.001091 0.003111 0.115342 0.048935 265.36 273.80 1.000
r(C<->G){all} 0.068074 0.004021 0.000026 0.194790 0.049080 84.96 113.01 1.003
r(C<->T){all} 0.518761 0.010180 0.332527 0.717673 0.518872 137.30 150.51 1.001
r(G<->T){all} 0.060070 0.001955 0.000299 0.148668 0.048964 195.56 269.88 1.002
pi(A){all} 0.320324 0.000608 0.271798 0.368666 0.320245 837.93 893.46 1.000
pi(C){all} 0.134634 0.000318 0.100301 0.169285 0.133864 713.77 855.71 1.000
pi(G){all} 0.190718 0.000442 0.152745 0.234339 0.189361 688.72 750.68 1.000
pi(T){all} 0.354324 0.000656 0.306813 0.407215 0.353881 590.46 734.17 1.000
alpha{1,2} 0.553555 0.514096 0.000470 2.084553 0.279106 595.14 638.07 1.000
alpha{3} 1.365435 1.232903 0.002734 3.556780 1.099491 720.22 836.76 1.000
pinvar{all} 0.484314 0.051695 0.027943 0.824818 0.519032 302.86 309.64 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
CODONML (in paml version 4.9h, March 2018) /data/fasta_checked/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp6_VIPR_ALG4_QEY10630_1_12567_12896_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 = 110
Codon usage in sequences
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 3 3 3 3 3 3 | Ser TCT 2 2 2 2 2 2 | Tyr TAT 4 4 4 4 4 4 | Cys TGT 4 4 4 3 4 4
TTC 0 0 0 0 0 0 | TCC 0 0 0 0 0 0 | TAC 2 2 2 2 2 2 | TGC 0 0 0 1 0 0
Leu TTA 2 2 2 2 2 2 | TCA 0 0 0 0 0 0 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 3 3 3 3 3 3 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 5 5 5 5 5 5 | Pro CCT 4 4 4 4 4 4 | His CAT 0 0 0 0 0 0 | Arg CGT 0 0 0 0 0 0
CTC 0 0 0 0 0 0 | CCC 0 0 0 0 0 0 | CAC 0 0 0 0 0 0 | CGC 0 0 0 0 0 0
CTA 1 1 1 1 1 1 | CCA 1 1 1 1 1 1 | Gln CAA 3 3 2 3 3 3 | CGA 0 0 0 0 0 0
CTG 0 0 0 0 0 0 | CCG 0 0 0 0 0 0 | CAG 2 2 3 2 2 2 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 5 4 4 4 4 4 | Thr ACT 3 4 4 4 4 4 | Asn AAT 8 8 8 8 7 7 | Ser AGT 3 3 3 3 3 3
ATC 0 0 0 0 0 0 | ACC 0 0 0 0 0 0 | AAC 2 2 2 2 3 3 | AGC 0 0 0 0 0 0
ATA 1 1 1 1 1 1 | ACA 5 5 5 5 5 5 | Lys AAA 7 8 8 6 6 6 | Arg AGA 2 2 2 1 2 2
Met ATG 1 1 1 1 1 1 | ACG 0 0 0 0 0 0 | AAG 4 3 3 5 5 5 | AGG 0 0 0 1 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 10 10 10 10 10 10 | Ala GCT 3 2 2 2 2 2 | Asp GAT 7 6 6 7 7 7 | Gly GGT 5 5 5 5 5 5
GTC 0 1 1 1 1 1 | GCC 0 0 0 0 0 0 | GAC 0 1 1 0 0 0 | GGC 2 2 2 2 2 2
GTA 1 1 1 1 1 1 | GCA 1 1 1 1 1 1 | Glu GAA 1 1 1 1 1 1 | GGA 0 0 0 0 0 0
GTG 0 0 0 0 0 0 | GCG 0 0 0 0 0 0 | GAG 1 1 1 1 1 1 | GGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 3 3 3 3 3 3 | Ser TCT 2 2 2 2 2 2 | Tyr TAT 4 4 4 4 4 4 | Cys TGT 4 4 4 3 4 4
TTC 0 0 0 0 0 0 | TCC 0 0 0 0 0 0 | TAC 2 2 2 2 2 2 | TGC 0 0 0 1 0 0
Leu TTA 2 2 2 2 2 2 | TCA 0 0 0 0 0 0 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 3 3 3 3 3 3 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 5 5 5 5 5 5 | Pro CCT 4 4 4 4 4 4 | His CAT 0 1 0 0 0 0 | Arg CGT 0 0 0 0 0 0
CTC 0 0 0 0 0 0 | CCC 0 0 0 0 0 0 | CAC 0 0 0 0 0 0 | CGC 0 0 0 0 0 0
CTA 1 1 1 1 1 1 | CCA 1 1 1 1 1 1 | Gln CAA 3 3 3 3 3 3 | CGA 0 0 0 0 0 0
CTG 0 0 0 0 0 0 | CCG 0 0 0 0 0 0 | CAG 2 1 2 2 2 2 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 4 5 5 4 4 5 | Thr ACT 4 3 3 4 4 3 | Asn AAT 7 8 8 8 7 8 | Ser AGT 3 3 3 3 3 3
ATC 0 0 0 0 0 0 | ACC 0 0 0 0 0 0 | AAC 3 2 2 2 3 2 | AGC 0 0 0 0 0 0
ATA 1 1 1 1 1 1 | ACA 5 5 5 5 5 5 | Lys AAA 6 7 7 6 6 7 | Arg AGA 2 2 2 1 2 2
Met ATG 1 1 1 1 1 1 | ACG 0 0 0 0 0 0 | AAG 5 4 4 5 5 4 | AGG 0 0 0 1 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 10 10 10 10 10 10 | Ala GCT 2 3 3 2 2 3 | Asp GAT 7 7 7 7 7 7 | Gly GGT 5 5 5 5 5 5
GTC 1 0 0 1 1 0 | GCC 0 0 0 0 0 0 | GAC 0 0 0 0 0 0 | GGC 2 2 2 2 2 2
GTA 1 1 1 1 1 1 | GCA 1 1 1 1 1 1 | Glu GAA 1 1 1 1 1 1 | GGA 0 0 0 0 0 0
GTG 0 0 0 0 0 0 | GCG 0 0 0 0 0 0 | GAG 1 1 1 1 1 1 | GGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 3 3 3 3 3 3 | Ser TCT 2 2 2 2 2 2 | Tyr TAT 4 4 4 4 4 4 | Cys TGT 4 4 4 4 4 4
TTC 0 0 0 0 0 0 | TCC 0 0 0 0 0 0 | TAC 2 2 2 2 2 2 | TGC 0 0 0 0 0 0
Leu TTA 2 2 2 2 2 2 | TCA 0 0 0 0 0 0 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 3 3 3 3 3 3 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 5 5 5 5 5 5 | Pro CCT 4 4 4 4 4 4 | His CAT 0 0 0 0 0 0 | Arg CGT 0 0 0 0 0 0
CTC 0 0 0 0 0 0 | CCC 0 0 0 0 0 0 | CAC 0 0 0 0 0 0 | CGC 0 0 0 0 0 0
CTA 1 1 1 1 1 1 | CCA 1 1 1 1 1 1 | Gln CAA 3 3 3 3 3 3 | CGA 0 0 0 0 0 0
CTG 0 0 0 0 0 0 | CCG 0 0 0 0 0 0 | CAG 2 2 2 2 2 2 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 5 5 5 4 4 5 | Thr ACT 3 3 3 4 4 3 | Asn AAT 8 8 8 7 6 8 | Ser AGT 3 3 3 3 3 3
ATC 0 0 0 0 0 0 | ACC 0 0 0 0 0 0 | AAC 2 2 2 3 4 2 | AGC 0 0 0 0 0 0
ATA 1 1 1 1 1 1 | ACA 5 5 5 5 5 5 | Lys AAA 7 7 7 7 6 7 | Arg AGA 2 2 2 2 2 2
Met ATG 1 1 1 1 1 1 | ACG 0 0 0 0 0 0 | AAG 4 4 4 4 5 4 | AGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 10 10 10 11 11 10 | Ala GCT 3 3 3 2 2 3 | Asp GAT 7 7 7 7 7 7 | Gly GGT 5 5 5 5 5 5
GTC 0 0 0 0 0 0 | GCC 0 0 0 0 0 0 | GAC 0 0 0 0 0 0 | GGC 2 2 2 2 1 2
GTA 1 1 1 1 1 1 | GCA 1 1 1 1 1 1 | Glu GAA 1 1 1 1 1 1 | GGA 0 0 0 0 1 0
GTG 0 0 0 0 0 0 | GCG 0 0 0 0 0 0 | GAG 1 1 1 1 1 1 | GGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 3 3 3 3 3 3 | Ser TCT 2 2 2 2 2 2 | Tyr TAT 4 4 4 4 4 4 | Cys TGT 4 4 4 3 4 4
TTC 0 0 0 0 0 0 | TCC 0 0 0 0 0 0 | TAC 3 2 2 2 2 2 | TGC 0 0 0 1 0 0
Leu TTA 2 2 2 2 2 2 | TCA 0 0 0 0 0 0 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 3 3 3 3 3 3 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 5 5 5 5 5 5 | Pro CCT 4 4 4 4 4 4 | His CAT 0 0 0 0 0 0 | Arg CGT 0 0 0 0 0 0
CTC 0 0 0 0 0 0 | CCC 0 0 0 0 0 0 | CAC 0 0 0 0 0 0 | CGC 0 0 0 0 0 0
CTA 1 1 1 1 1 1 | CCA 1 1 1 1 1 1 | Gln CAA 3 3 3 3 3 3 | CGA 0 0 0 0 0 0
CTG 0 0 0 0 0 0 | CCG 0 0 0 0 0 0 | CAG 2 2 2 2 2 2 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 4 4 4 4 5 5 | Thr ACT 4 4 4 4 3 3 | Asn AAT 8 8 7 8 8 8 | Ser AGT 3 3 3 3 3 3
ATC 0 0 0 0 0 0 | ACC 0 0 0 0 0 0 | AAC 1 2 3 2 2 2 | AGC 0 0 0 0 0 0
ATA 1 1 1 1 1 1 | ACA 5 5 5 5 5 5 | Lys AAA 7 8 6 6 7 7 | Arg AGA 2 2 2 1 2 2
Met ATG 1 1 1 1 1 1 | ACG 0 0 0 0 0 0 | AAG 4 3 5 5 4 4 | AGG 0 0 0 1 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 11 10 11 10 10 10 | Ala GCT 2 2 2 2 3 3 | Asp GAT 7 6 7 7 7 7 | Gly GGT 5 5 5 5 5 5
GTC 0 1 0 1 0 0 | GCC 0 0 0 0 0 0 | GAC 0 1 0 0 0 0 | GGC 2 2 1 2 2 2
GTA 1 1 1 1 1 1 | GCA 1 1 1 1 1 1 | Glu GAA 1 1 1 1 1 1 | GGA 0 0 1 0 0 0
GTG 0 0 0 0 0 0 | GCG 0 0 0 0 0 0 | GAG 1 1 1 1 1 1 | GGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 3 3 3 3 3 3 | Ser TCT 2 2 2 2 2 2 | Tyr TAT 4 4 4 4 4 4 | Cys TGT 4 4 4 4 4 4
TTC 0 0 0 0 0 0 | TCC 0 0 0 0 0 0 | TAC 2 2 2 2 2 2 | TGC 0 0 0 0 0 0
Leu TTA 2 2 2 2 2 2 | TCA 0 0 0 0 0 0 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 3 3 3 3 3 3 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 5 5 5 5 5 5 | Pro CCT 4 4 4 4 4 4 | His CAT 0 0 0 0 0 0 | Arg CGT 0 0 0 0 0 0
CTC 0 0 0 0 0 0 | CCC 0 0 0 0 0 0 | CAC 0 0 0 0 0 0 | CGC 0 0 0 0 0 0
CTA 1 1 1 1 1 1 | CCA 1 1 1 1 1 1 | Gln CAA 3 3 3 3 3 3 | CGA 0 0 0 0 0 0
CTG 0 0 0 0 0 0 | CCG 0 0 0 0 0 0 | CAG 2 2 2 2 2 2 | CGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 4 5 5 5 5 5 | Thr ACT 4 3 3 3 3 3 | Asn AAT 7 8 8 8 8 8 | Ser AGT 3 3 3 3 3 3
ATC 0 0 0 0 0 0 | ACC 0 0 0 0 0 0 | AAC 3 2 2 2 2 2 | AGC 0 0 0 0 0 0
ATA 1 1 1 1 1 1 | ACA 5 5 5 5 5 5 | Lys AAA 6 7 7 7 7 7 | Arg AGA 2 2 2 2 2 2
Met ATG 1 1 1 1 1 1 | ACG 0 0 0 0 0 0 | AAG 5 4 4 4 4 4 | AGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 10 10 10 10 10 10 | Ala GCT 2 3 3 3 3 3 | Asp GAT 7 7 7 7 7 7 | Gly GGT 4 5 5 5 5 5
GTC 1 0 0 0 0 0 | GCC 0 0 0 0 0 0 | GAC 0 0 0 0 0 0 | GGC 2 2 2 2 2 2
GTA 1 1 1 1 1 1 | GCA 1 1 1 1 1 1 | Glu GAA 1 1 1 1 1 1 | GGA 1 0 0 0 0 0
GTG 0 0 0 0 0 0 | GCG 0 0 0 0 0 0 | GAG 1 1 1 1 1 1 | GGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Codon position x base (3x4) table for each sequence.
#1: C178
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.60000 C:0.05455 A:0.22727 G:0.11818
Average T:0.36061 C:0.12424 A:0.32424 G:0.19091
#2: C213
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.58182 C:0.07273 A:0.23636 G:0.10909
Average T:0.35455 C:0.13030 A:0.32727 G:0.18788
#3: C209
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.58182 C:0.07273 A:0.22727 G:0.11818
Average T:0.35455 C:0.13030 A:0.32424 G:0.19091
#4: C252
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.58182 C:0.07273 A:0.20909 G:0.13636
Average T:0.35455 C:0.13030 A:0.31818 G:0.19697
#5: C219
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.58182 C:0.07273 A:0.21818 G:0.12727
Average T:0.35455 C:0.13030 A:0.32121 G:0.19394
#6: C126
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.58182 C:0.07273 A:0.21818 G:0.12727
Average T:0.35455 C:0.13030 A:0.32121 G:0.19394
#7: C226
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.58182 C:0.07273 A:0.21818 G:0.12727
Average T:0.35455 C:0.13030 A:0.32121 G:0.19394
#8: C16
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.60909 C:0.05455 A:0.22727 G:0.10909
Average T:0.36364 C:0.12424 A:0.32424 G:0.18788
#9: C2
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.60000 C:0.05455 A:0.22727 G:0.11818
Average T:0.36061 C:0.12424 A:0.32424 G:0.19091
#10: C254
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.58182 C:0.07273 A:0.20909 G:0.13636
Average T:0.35455 C:0.13030 A:0.31818 G:0.19697
#11: C256
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.58182 C:0.07273 A:0.21818 G:0.12727
Average T:0.35455 C:0.13030 A:0.32121 G:0.19394
#12: C192
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.60000 C:0.05455 A:0.22727 G:0.11818
Average T:0.36061 C:0.12424 A:0.32424 G:0.19091
#13: C37
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.60000 C:0.05455 A:0.22727 G:0.11818
Average T:0.36061 C:0.12424 A:0.32424 G:0.19091
#14: C261
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.60000 C:0.05455 A:0.22727 G:0.11818
Average T:0.36061 C:0.12424 A:0.32424 G:0.19091
#15: C265
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.60000 C:0.05455 A:0.22727 G:0.11818
Average T:0.36061 C:0.12424 A:0.32424 G:0.19091
#16: C165
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.59091 C:0.06364 A:0.22727 G:0.11818
Average T:0.35758 C:0.12727 A:0.32424 G:0.19091
#17: C101
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.58182 C:0.06364 A:0.22727 G:0.12727
Average T:0.35455 C:0.12727 A:0.32424 G:0.19394
#18: C191
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.60000 C:0.05455 A:0.22727 G:0.11818
Average T:0.36061 C:0.12424 A:0.32424 G:0.19091
#19: C131
position 1: T:0.20000 C:0.14545 A:0.36364 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.60000 C:0.05455 A:0.22727 G:0.11818
Average T:0.36364 C:0.12424 A:0.32121 G:0.19091
#20: C130
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.58182 C:0.07273 A:0.23636 G:0.10909
Average T:0.35455 C:0.13030 A:0.32727 G:0.18788
#21: C276
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.59091 C:0.05455 A:0.22727 G:0.12727
Average T:0.35758 C:0.12424 A:0.32424 G:0.19394
#22: C240
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.58182 C:0.07273 A:0.20909 G:0.13636
Average T:0.35455 C:0.13030 A:0.31818 G:0.19697
#23: C22
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.60000 C:0.05455 A:0.22727 G:0.11818
Average T:0.36061 C:0.12424 A:0.32424 G:0.19091
#24: C43
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.60000 C:0.05455 A:0.22727 G:0.11818
Average T:0.36061 C:0.12424 A:0.32424 G:0.19091
#25: C129
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.57273 C:0.07273 A:0.22727 G:0.12727
Average T:0.35152 C:0.13030 A:0.32424 G:0.19394
#26: C49
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.60000 C:0.05455 A:0.22727 G:0.11818
Average T:0.36061 C:0.12424 A:0.32424 G:0.19091
#27: C34
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.60000 C:0.05455 A:0.22727 G:0.11818
Average T:0.36061 C:0.12424 A:0.32424 G:0.19091
#28: C33
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.60000 C:0.05455 A:0.22727 G:0.11818
Average T:0.36061 C:0.12424 A:0.32424 G:0.19091
#29: C32
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.60000 C:0.05455 A:0.22727 G:0.11818
Average T:0.36061 C:0.12424 A:0.32424 G:0.19091
#30: C13
position 1: T:0.19091 C:0.14545 A:0.37273 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.60000 C:0.05455 A:0.22727 G:0.11818
Average T:0.36061 C:0.12424 A:0.32424 G:0.19091
Sums of codon usage counts
------------------------------------------------------------------------------
Phe F TTT 90 | Ser S TCT 60 | Tyr Y TAT 120 | Cys C TGT 117
TTC 0 | TCC 0 | TAC 61 | TGC 3
Leu L TTA 60 | TCA 0 | *** * TAA 0 | *** * TGA 0
TTG 90 | TCG 0 | TAG 0 | Trp W TGG 30
------------------------------------------------------------------------------
Leu L CTT 150 | Pro P CCT 120 | His H CAT 1 | Arg R CGT 0
CTC 0 | CCC 0 | CAC 0 | CGC 0
CTA 30 | CCA 30 | Gln Q CAA 89 | CGA 0
CTG 0 | CCG 0 | CAG 60 | CGG 0
------------------------------------------------------------------------------
Ile I ATT 135 | Thr T ACT 105 | Asn N AAT 231 | Ser S AGT 90
ATC 0 | ACC 0 | AAC 68 | AGC 0
ATA 30 | ACA 150 | Lys K AAA 203 | Arg R AGA 57
Met M ATG 30 | ACG 0 | AAG 127 | AGG 3
------------------------------------------------------------------------------
Val V GTT 304 | Ala A GCT 75 | Asp D GAT 207 | Gly G GGT 149
GTC 11 | GCC 0 | GAC 3 | GGC 58
GTA 30 | GCA 30 | Glu E GAA 30 | GGA 3
GTG 0 | GCG 0 | GAG 30 | GGG 30
------------------------------------------------------------------------------
Codon position x base (3x4) table, overall
position 1: T:0.19121 C:0.14545 A:0.37242 G:0.29091
position 2: T:0.29091 C:0.17273 A:0.37273 G:0.16364
position 3: T:0.59212 C:0.06182 A:0.22485 G:0.12121
Average T:0.35808 C:0.12667 A:0.32333 G:0.19192
Model 1: NearlyNeutral (2 categories)
TREE # 1: (12, 13, 18, 27, 26, 30, 8, 1, 14, 15, 23, 24, 9, 29, 28, (((11, (22, 4, 10), 6, 5, 7, 25), (17, 21)), 16, ((3, 20), 2), 19)); MP score: 20
check convergence..
lnL(ntime: 37 np: 40): -535.393140 +0.000000
31..12 31..13 31..18 31..27 31..26 31..30 31..8 31..1 31..14 31..15 31..23 31..24 31..9 31..29 31..28 31..32 32..33 33..34 34..11 34..35 35..22 35..4 35..10 34..6 34..5 34..7 34..25 33..36 36..17 36..21 32..16 32..37 37..38 38..3 38..20 37..2 32..19
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.009198 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.018467 0.009368 0.017344 0.000004 0.026354 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.008520 0.018381 0.008623 0.000004 0.008946 0.019157 0.008903 0.008703 0.000004 0.008903 0.009255 5.169484 0.999990 0.037998
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.180215
(12: 0.000004, 13: 0.000004, 18: 0.000004, 27: 0.000004, 26: 0.000004, 30: 0.000004, 8: 0.009198, 1: 0.000004, 14: 0.000004, 15: 0.000004, 23: 0.000004, 24: 0.000004, 9: 0.000004, 29: 0.000004, 28: 0.000004, (((11: 0.000004, (22: 0.000004, 4: 0.000004, 10: 0.000004): 0.026354, 6: 0.000004, 5: 0.000004, 7: 0.000004, 25: 0.008520): 0.017344, (17: 0.008623, 21: 0.000004): 0.018381): 0.009368, 16: 0.008946, ((3: 0.008703, 20: 0.000004): 0.008903, 2: 0.008903): 0.019157, 19: 0.009255): 0.018467);
(C192: 0.000004, C37: 0.000004, C191: 0.000004, C34: 0.000004, C49: 0.000004, C13: 0.000004, C16: 0.009198, C178: 0.000004, C261: 0.000004, C265: 0.000004, C22: 0.000004, C43: 0.000004, C2: 0.000004, C32: 0.000004, C33: 0.000004, (((C256: 0.000004, (C240: 0.000004, C252: 0.000004, C254: 0.000004): 0.026354, C126: 0.000004, C219: 0.000004, C226: 0.000004, C129: 0.008520): 0.017344, (C101: 0.008623, C276: 0.000004): 0.018381): 0.009368, C165: 0.008946, ((C209: 0.008703, C130: 0.000004): 0.008903, C213: 0.008903): 0.019157, C131: 0.009255): 0.018467);
Detailed output identifying parameters
kappa (ts/tv) = 5.16948
MLEs of dN/dS (w) for site classes (K=2)
p: 0.99999 0.00001
w: 0.03800 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..13 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..18 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..27 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..26 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..30 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..8 0.009 288.5 41.5 0.0380 0.0007 0.0193 0.2 0.8
31..1 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..14 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..15 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..23 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..24 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..9 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..29 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..28 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..32 0.018 288.5 41.5 0.0380 0.0015 0.0387 0.4 1.6
32..33 0.009 288.5 41.5 0.0380 0.0007 0.0196 0.2 0.8
33..34 0.017 288.5 41.5 0.0380 0.0014 0.0364 0.4 1.5
34..11 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
34..35 0.026 288.5 41.5 0.0380 0.0021 0.0552 0.6 2.3
35..22 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
35..4 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
35..10 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
34..6 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
34..5 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
34..7 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
34..25 0.009 288.5 41.5 0.0380 0.0007 0.0179 0.2 0.7
33..36 0.018 288.5 41.5 0.0380 0.0015 0.0385 0.4 1.6
36..17 0.009 288.5 41.5 0.0380 0.0007 0.0181 0.2 0.8
36..21 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
32..16 0.009 288.5 41.5 0.0380 0.0007 0.0187 0.2 0.8
32..37 0.019 288.5 41.5 0.0380 0.0015 0.0402 0.4 1.7
37..38 0.009 288.5 41.5 0.0380 0.0007 0.0187 0.2 0.8
38..3 0.009 288.5 41.5 0.0380 0.0007 0.0182 0.2 0.8
38..20 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
37..2 0.009 288.5 41.5 0.0380 0.0007 0.0187 0.2 0.8
32..19 0.009 288.5 41.5 0.0380 0.0007 0.0194 0.2 0.8
Time used: 1:14
Model 2: PositiveSelection (3 categories)
TREE # 1: (12, 13, 18, 27, 26, 30, 8, 1, 14, 15, 23, 24, 9, 29, 28, (((11, (22, 4, 10), 6, 5, 7, 25), (17, 21)), 16, ((3, 20), 2), 19)); MP score: 20
check convergence..
lnL(ntime: 37 np: 42): -535.393069 +0.000000
31..12 31..13 31..18 31..27 31..26 31..30 31..8 31..1 31..14 31..15 31..23 31..24 31..9 31..29 31..28 31..32 32..33 33..34 34..11 34..35 35..22 35..4 35..10 34..6 34..5 34..7 34..25 33..36 36..17 36..21 32..16 32..37 37..38 38..3 38..20 37..2 32..19
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.009198 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.018466 0.009368 0.017344 0.000004 0.026353 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.008520 0.018381 0.008623 0.000004 0.008946 0.019157 0.008902 0.008703 0.000004 0.008902 0.009255 5.169404 1.000000 0.000000 0.038002 1.000000
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.180211
(12: 0.000004, 13: 0.000004, 18: 0.000004, 27: 0.000004, 26: 0.000004, 30: 0.000004, 8: 0.009198, 1: 0.000004, 14: 0.000004, 15: 0.000004, 23: 0.000004, 24: 0.000004, 9: 0.000004, 29: 0.000004, 28: 0.000004, (((11: 0.000004, (22: 0.000004, 4: 0.000004, 10: 0.000004): 0.026353, 6: 0.000004, 5: 0.000004, 7: 0.000004, 25: 0.008520): 0.017344, (17: 0.008623, 21: 0.000004): 0.018381): 0.009368, 16: 0.008946, ((3: 0.008703, 20: 0.000004): 0.008902, 2: 0.008902): 0.019157, 19: 0.009255): 0.018466);
(C192: 0.000004, C37: 0.000004, C191: 0.000004, C34: 0.000004, C49: 0.000004, C13: 0.000004, C16: 0.009198, C178: 0.000004, C261: 0.000004, C265: 0.000004, C22: 0.000004, C43: 0.000004, C2: 0.000004, C32: 0.000004, C33: 0.000004, (((C256: 0.000004, (C240: 0.000004, C252: 0.000004, C254: 0.000004): 0.026353, C126: 0.000004, C219: 0.000004, C226: 0.000004, C129: 0.008520): 0.017344, (C101: 0.008623, C276: 0.000004): 0.018381): 0.009368, C165: 0.008946, ((C209: 0.008703, C130: 0.000004): 0.008902, C213: 0.008902): 0.019157, C131: 0.009255): 0.018466);
Detailed output identifying parameters
kappa (ts/tv) = 5.16940
MLEs of dN/dS (w) for site classes (K=3)
p: 1.00000 0.00000 0.00000
w: 0.03800 1.00000 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..13 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..18 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..27 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..26 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..30 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..8 0.009 288.5 41.5 0.0380 0.0007 0.0193 0.2 0.8
31..1 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..14 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..15 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..23 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..24 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..9 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..29 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..28 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
31..32 0.018 288.5 41.5 0.0380 0.0015 0.0387 0.4 1.6
32..33 0.009 288.5 41.5 0.0380 0.0007 0.0196 0.2 0.8
33..34 0.017 288.5 41.5 0.0380 0.0014 0.0364 0.4 1.5
34..11 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
34..35 0.026 288.5 41.5 0.0380 0.0021 0.0552 0.6 2.3
35..22 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
35..4 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
35..10 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
34..6 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
34..5 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
34..7 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
34..25 0.009 288.5 41.5 0.0380 0.0007 0.0179 0.2 0.7
33..36 0.018 288.5 41.5 0.0380 0.0015 0.0385 0.4 1.6
36..17 0.009 288.5 41.5 0.0380 0.0007 0.0181 0.2 0.8
36..21 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
32..16 0.009 288.5 41.5 0.0380 0.0007 0.0187 0.2 0.8
32..37 0.019 288.5 41.5 0.0380 0.0015 0.0402 0.4 1.7
37..38 0.009 288.5 41.5 0.0380 0.0007 0.0187 0.2 0.8
38..3 0.009 288.5 41.5 0.0380 0.0007 0.0182 0.2 0.8
38..20 0.000 288.5 41.5 0.0380 0.0000 0.0000 0.0 0.0
37..2 0.009 288.5 41.5 0.0380 0.0007 0.0187 0.2 0.8
32..19 0.009 288.5 41.5 0.0380 0.0007 0.0194 0.2 0.8
Naive Empirical Bayes (NEB) analysis
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C178)
Pr(w>1) post mean +- SE for w
The grid (see ternary graph for p0-p1)
w0: 0.050 0.150 0.250 0.350 0.450 0.550 0.650 0.750 0.850 0.950
w2: 1.500 2.500 3.500 4.500 5.500 6.500 7.500 8.500 9.500 10.500
Posterior on the grid
w0: 0.999 0.001 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
w2: 0.226 0.145 0.116 0.100 0.089 0.079 0.071 0.064 0.058 0.052
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 0.009
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.001 0.016 0.974
sum of density on p0-p1 = 1.000000
Time used: 4:17
Model 7: beta (10 categories)
TREE # 1: (12, 13, 18, 27, 26, 30, 8, 1, 14, 15, 23, 24, 9, 29, 28, (((11, (22, 4, 10), 6, 5, 7, 25), (17, 21)), 16, ((3, 20), 2), 19)); MP score: 20
lnL(ntime: 37 np: 40): -535.399660 +0.000000
31..12 31..13 31..18 31..27 31..26 31..30 31..8 31..1 31..14 31..15 31..23 31..24 31..9 31..29 31..28 31..32 32..33 33..34 34..11 34..35 35..22 35..4 35..10 34..6 34..5 34..7 34..25 33..36 36..17 36..21 32..16 32..37 37..38 38..3 38..20 37..2 32..19
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.009203 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.018480 0.009374 0.017356 0.000004 0.026373 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.008526 0.018394 0.008629 0.000004 0.008952 0.019170 0.008908 0.008708 0.000004 0.008908 0.009262 5.172554 3.970086 99.000000
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.180336
(12: 0.000004, 13: 0.000004, 18: 0.000004, 27: 0.000004, 26: 0.000004, 30: 0.000004, 8: 0.009203, 1: 0.000004, 14: 0.000004, 15: 0.000004, 23: 0.000004, 24: 0.000004, 9: 0.000004, 29: 0.000004, 28: 0.000004, (((11: 0.000004, (22: 0.000004, 4: 0.000004, 10: 0.000004): 0.026373, 6: 0.000004, 5: 0.000004, 7: 0.000004, 25: 0.008526): 0.017356, (17: 0.008629, 21: 0.000004): 0.018394): 0.009374, 16: 0.008952, ((3: 0.008708, 20: 0.000004): 0.008908, 2: 0.008908): 0.019170, 19: 0.009262): 0.018480);
(C192: 0.000004, C37: 0.000004, C191: 0.000004, C34: 0.000004, C49: 0.000004, C13: 0.000004, C16: 0.009203, C178: 0.000004, C261: 0.000004, C265: 0.000004, C22: 0.000004, C43: 0.000004, C2: 0.000004, C32: 0.000004, C33: 0.000004, (((C256: 0.000004, (C240: 0.000004, C252: 0.000004, C254: 0.000004): 0.026373, C126: 0.000004, C219: 0.000004, C226: 0.000004, C129: 0.008526): 0.017356, (C101: 0.008629, C276: 0.000004): 0.018394): 0.009374, C165: 0.008952, ((C209: 0.008708, C130: 0.000004): 0.008908, C213: 0.008908): 0.019170, C131: 0.009262): 0.018480);
Detailed output identifying parameters
kappa (ts/tv) = 5.17255
Parameters in M7 (beta):
p = 3.97009 q = 99.00000
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: 0.01334 0.01988 0.02468 0.02904 0.03336 0.03793 0.04306 0.04925 0.05774 0.07388
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..13 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..18 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..27 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..26 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..30 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..8 0.009 288.5 41.5 0.0382 0.0007 0.0193 0.2 0.8
31..1 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..14 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..15 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..23 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..24 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..9 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..29 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..28 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..32 0.018 288.5 41.5 0.0382 0.0015 0.0387 0.4 1.6
32..33 0.009 288.5 41.5 0.0382 0.0007 0.0196 0.2 0.8
33..34 0.017 288.5 41.5 0.0382 0.0014 0.0363 0.4 1.5
34..11 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
34..35 0.026 288.5 41.5 0.0382 0.0021 0.0552 0.6 2.3
35..22 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
35..4 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
35..10 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
34..6 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
34..5 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
34..7 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
34..25 0.009 288.5 41.5 0.0382 0.0007 0.0178 0.2 0.7
33..36 0.018 288.5 41.5 0.0382 0.0015 0.0385 0.4 1.6
36..17 0.009 288.5 41.5 0.0382 0.0007 0.0181 0.2 0.8
36..21 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
32..16 0.009 288.5 41.5 0.0382 0.0007 0.0187 0.2 0.8
32..37 0.019 288.5 41.5 0.0382 0.0015 0.0401 0.4 1.7
37..38 0.009 288.5 41.5 0.0382 0.0007 0.0186 0.2 0.8
38..3 0.009 288.5 41.5 0.0382 0.0007 0.0182 0.2 0.8
38..20 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
37..2 0.009 288.5 41.5 0.0382 0.0007 0.0186 0.2 0.8
32..19 0.009 288.5 41.5 0.0382 0.0007 0.0194 0.2 0.8
Time used: 12:56
Model 8: beta&w>1 (11 categories)
TREE # 1: (12, 13, 18, 27, 26, 30, 8, 1, 14, 15, 23, 24, 9, 29, 28, (((11, (22, 4, 10), 6, 5, 7, 25), (17, 21)), 16, ((3, 20), 2), 19)); MP score: 20
lnL(ntime: 37 np: 42): -535.399732 +0.000000
31..12 31..13 31..18 31..27 31..26 31..30 31..8 31..1 31..14 31..15 31..23 31..24 31..9 31..29 31..28 31..32 32..33 33..34 34..11 34..35 35..22 35..4 35..10 34..6 34..5 34..7 34..25 33..36 36..17 36..21 32..16 32..37 37..38 38..3 38..20 37..2 32..19
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.009203 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.018481 0.009374 0.017357 0.000004 0.026373 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.008526 0.018394 0.008629 0.000004 0.008952 0.019171 0.008909 0.008709 0.000004 0.008909 0.009262 5.172598 0.999990 3.969587 99.000000 1.000000
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.180340
(12: 0.000004, 13: 0.000004, 18: 0.000004, 27: 0.000004, 26: 0.000004, 30: 0.000004, 8: 0.009203, 1: 0.000004, 14: 0.000004, 15: 0.000004, 23: 0.000004, 24: 0.000004, 9: 0.000004, 29: 0.000004, 28: 0.000004, (((11: 0.000004, (22: 0.000004, 4: 0.000004, 10: 0.000004): 0.026373, 6: 0.000004, 5: 0.000004, 7: 0.000004, 25: 0.008526): 0.017357, (17: 0.008629, 21: 0.000004): 0.018394): 0.009374, 16: 0.008952, ((3: 0.008709, 20: 0.000004): 0.008909, 2: 0.008909): 0.019171, 19: 0.009262): 0.018481);
(C192: 0.000004, C37: 0.000004, C191: 0.000004, C34: 0.000004, C49: 0.000004, C13: 0.000004, C16: 0.009203, C178: 0.000004, C261: 0.000004, C265: 0.000004, C22: 0.000004, C43: 0.000004, C2: 0.000004, C32: 0.000004, C33: 0.000004, (((C256: 0.000004, (C240: 0.000004, C252: 0.000004, C254: 0.000004): 0.026373, C126: 0.000004, C219: 0.000004, C226: 0.000004, C129: 0.008526): 0.017357, (C101: 0.008629, C276: 0.000004): 0.018394): 0.009374, C165: 0.008952, ((C209: 0.008709, C130: 0.000004): 0.008909, C213: 0.008909): 0.019171, C131: 0.009262): 0.018481);
Detailed output identifying parameters
kappa (ts/tv) = 5.17260
Parameters in M8 (beta&w>1):
p0 = 0.99999 p = 3.96959 q = 99.00000
(p1 = 0.00001) w = 1.00000
MLEs of dN/dS (w) for site classes (K=11)
p: 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.00001
w: 0.01333 0.01987 0.02467 0.02903 0.03336 0.03793 0.04305 0.04924 0.05774 0.07387 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..13 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..18 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..27 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..26 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..30 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..8 0.009 288.5 41.5 0.0382 0.0007 0.0193 0.2 0.8
31..1 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..14 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..15 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..23 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..24 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..9 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..29 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..28 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
31..32 0.018 288.5 41.5 0.0382 0.0015 0.0387 0.4 1.6
32..33 0.009 288.5 41.5 0.0382 0.0007 0.0196 0.2 0.8
33..34 0.017 288.5 41.5 0.0382 0.0014 0.0363 0.4 1.5
34..11 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
34..35 0.026 288.5 41.5 0.0382 0.0021 0.0552 0.6 2.3
35..22 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
35..4 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
35..10 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
34..6 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
34..5 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
34..7 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
34..25 0.009 288.5 41.5 0.0382 0.0007 0.0178 0.2 0.7
33..36 0.018 288.5 41.5 0.0382 0.0015 0.0385 0.4 1.6
36..17 0.009 288.5 41.5 0.0382 0.0007 0.0181 0.2 0.8
36..21 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
32..16 0.009 288.5 41.5 0.0382 0.0007 0.0187 0.2 0.8
32..37 0.019 288.5 41.5 0.0382 0.0015 0.0401 0.4 1.7
37..38 0.009 288.5 41.5 0.0382 0.0007 0.0186 0.2 0.8
38..3 0.009 288.5 41.5 0.0382 0.0007 0.0182 0.2 0.8
38..20 0.000 288.5 41.5 0.0382 0.0000 0.0000 0.0 0.0
37..2 0.009 288.5 41.5 0.0382 0.0007 0.0186 0.2 0.8
32..19 0.009 288.5 41.5 0.0382 0.0007 0.0194 0.2 0.8
Naive Empirical Bayes (NEB) analysis
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C178)
Pr(w>1) post mean +- SE for w
The grid
p0: 0.050 0.150 0.250 0.350 0.450 0.550 0.650 0.750 0.850 0.950
p : 0.100 0.300 0.500 0.700 0.900 1.100 1.300 1.500 1.700 1.900
q : 0.100 0.300 0.500 0.700 0.900 1.100 1.300 1.500 1.700 1.900
ws: 1.500 2.500 3.500 4.500 5.500 6.500 7.500 8.500 9.500 10.500
Posterior on the grid
p0: 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.001 0.999
p : 0.993 0.007 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
q : 0.000 0.000 0.001 0.007 0.027 0.064 0.117 0.183 0.259 0.342
ws: 0.313 0.158 0.111 0.089 0.075 0.065 0.056 0.049 0.043 0.039
Time used: 24:36
Model 1: NearlyNeutral -535.393140 Model 2: PositiveSelection -535.393069 Model 7: beta -535.399660 Model 8: beta&w>1 -535.399732 Model 2 vs 1 .000142 Model 8 vs 7 -.000144
Not all of the following information may be relevant for the case being handled, since this project may be part of a much larger auto-PSS-genome project where several methods of detection of positively selected sites have been used. As such the aligned.score_ascii file may have more sequences than the file effectively used to detect positively selected codons, since the content of this file reflects the content of the file used for the master alignment, from which a subsample may have been taken. # ### General parameters ### # # The maximum number of sequences to use for the master file sequence_limit=90 # The random seed random_seed=3976763 # ### Alignment ### # # The alignment method: clustalw, muscle, kalign, t_coffee, or amap align_method=muscle # Minimum support value for amino acid positions in the alignment tcoffee_min_score=3 # ### MrBayes ### # # Number of iterations in MrBayes mrbayes_generations=1000000 # MrBayes burnin mrbayes_burnin=2500 # ### FUBAR ### # # The maximum number of sequences to be used by FUBAR. fubar_sequence_limit=90 # The number of FUBAR runs fubar_runs=1 # ### codeML ### # # The maximum number of sequences to be used by CodeML codeml_sequence_limit=30 # The number of CodeML runs codeml_runs=1 # The CodeML models to be run, one or more of: '1', '2', '7', and/or '8'. codeml_models=1 2 7 8 # ### OmegaMap ### # # The maximum number of sequences to use in OmegaMap omegamap_sequence_limit=90 # The number of OmegaMap runs omegamap_runs=1 # The number of OmegaMap iterations omegamap_iterations=2500
Phone: +351 220 408 800
Email: info@i3s.up.pt
Address: Rua Alfredo Allen, 208
4200-135 Porto, Portugal
If you use B+, please cite us:
N. Vázquez, C.P. Vieira, B.S.R. Amorin, A. Torres, H. López-Fernández, F. Fdez-Riverola, J.L.R. Sousa, M. Reboiro-Jato, J. Vieira (2018) Large Scale Analyses and Visualization of Adaptive Amino Acid Changes Projects. Interdisciplinary Sciences: Computational Life Sciences. https://doi.org/10.1007/s12539-018-0282-7
N. Vázquez, C.P. Vieira, B.S.R. Amorin, A. Torres, H. López-Fernández, F. Fdez-Riverola, J.L.R. Sousa, M. Reboiro-Jato, J. Vieira (2017) Automated Collection and Sharing of Adaptive Amino Acid Changes Data. 11th International Conference on Practical Applications of Computational Biology & Bioinformatics. Porto, Portugal. https://doi.org/10.1007/978-3-319-60816-7_3
