--- 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 -1116.85 -1140.02
2 -1116.56 -1140.83
--------------------------------------
TOTAL -1116.70 -1140.50
--------------------------------------
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} 0.090463 0.000343 0.057592 0.127518 0.088794 886.17 1011.19 1.001
r(A<->C){all} 0.111071 0.002238 0.032584 0.205609 0.104412 409.29 429.94 1.002
r(A<->G){all} 0.214871 0.003674 0.100463 0.329858 0.208829 225.59 292.12 1.003
r(A<->T){all} 0.045000 0.000586 0.006203 0.091461 0.041046 554.24 604.64 1.000
r(C<->G){all} 0.029768 0.000847 0.000001 0.085042 0.021572 470.21 541.87 1.000
r(C<->T){all} 0.521911 0.006178 0.368449 0.663965 0.521621 355.90 369.08 1.005
r(G<->T){all} 0.077379 0.001165 0.016189 0.144129 0.073164 498.79 566.88 1.000
pi(A){all} 0.315221 0.000332 0.277848 0.349502 0.315495 1079.55 1144.25 1.000
pi(C){all} 0.142706 0.000203 0.114653 0.169773 0.142025 958.08 1009.08 1.000
pi(G){all} 0.218963 0.000267 0.184575 0.249290 0.218856 826.04 926.21 1.001
pi(T){all} 0.323111 0.000346 0.287333 0.359637 0.322657 961.56 962.52 1.000
alpha{1,2} 0.422033 0.344828 0.000508 1.566559 0.223218 918.51 992.53 1.000
alpha{3} 1.425985 1.140152 0.001081 3.478812 1.172092 679.24 757.22 1.001
pinvar{all} 0.568768 0.026425 0.204376 0.812223 0.599870 408.14 542.84 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 -1030.675148
Model 2: PositiveSelection -1030.405839
Model 7: beta -1030.744193
Model 8: beta&w>1 -1030.410416
Model 2 vs 1 .538618
Model 8 vs 7 .667554
-- Starting log on Fri Nov 18 14:40:18 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp5_VIPR_ALG4_QEY10630_1_11976_12566_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Fri Nov 18 14:59:11 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp5_VIPR_ALG4_QEY10630_1_11976_12566_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Sat Nov 19 04:09:02 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp5_VIPR_ALG4_QEY10630_1_11976_12566_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/gapped_alignment/codeml,DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp5_VIPR_ALG4_QEY10630_1_11976_12566_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 591 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C212
Taxon 2 -> C5
Taxon 3 -> C59
Taxon 4 -> C4
Taxon 5 -> C187
Taxon 6 -> C213
Taxon 7 -> C262
Taxon 8 -> C27
Taxon 9 -> C39
Taxon 10 -> C51
Taxon 11 -> C215
Taxon 12 -> C67
Taxon 13 -> C278
Taxon 14 -> C154
Taxon 15 -> C179
Taxon 16 -> C182
Taxon 17 -> C136
Taxon 18 -> C16
Taxon 19 -> C192
Taxon 20 -> C3
Taxon 21 -> C220
Taxon 22 -> C223
Taxon 23 -> C247
Taxon 24 -> C248
Taxon 25 -> C251
Taxon 26 -> C261
Taxon 27 -> C263
Taxon 28 -> C73
Taxon 29 -> C48
Taxon 30 -> C84
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1668830945
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) = 1720331164
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 = 8280283988
Seed = 1776431026
Swapseed = 1668830945
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 11 unique site patterns
Division 2 has 8 unique site patterns
Division 3 has 29 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 -- -2161.418404 -- 82.122948
Chain 2 -- -2094.278080 -- 82.122948
Chain 3 -- -2182.105278 -- 82.122948
Chain 4 -- -2260.403652 -- 82.122948
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -2204.391511 -- 82.122948
Chain 2 -- -2177.416973 -- 82.122948
Chain 3 -- -2168.954777 -- 82.122948
Chain 4 -- -2261.755112 -- 82.122948
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-2161.418] (-2094.278) (-2182.105) (-2260.404) * [-2204.392] (-2177.417) (-2168.955) (-2261.755)
1000 -- (-1202.970) [-1174.945] (-1216.233) (-1245.656) * (-1194.803) (-1174.105) [-1187.562] (-1206.067) -- 0:00:00
2000 -- (-1168.374) (-1160.413) (-1150.760) [-1149.361] * (-1168.684) [-1142.595] (-1144.318) (-1168.017) -- 0:08:19
3000 -- (-1153.518) (-1146.881) (-1134.723) [-1145.034] * [-1144.943] (-1135.412) (-1154.500) (-1137.452) -- 0:05:32
4000 -- (-1152.839) (-1137.670) (-1152.653) [-1135.523] * (-1150.932) (-1148.292) (-1147.106) [-1135.781] -- 0:08:18
5000 -- (-1139.293) (-1144.929) (-1145.068) [-1127.405] * (-1149.649) (-1132.361) (-1135.259) [-1134.621] -- 0:06:38
Average standard deviation of split frequencies: 0.075728
6000 -- [-1140.028] (-1135.839) (-1136.656) (-1135.163) * (-1141.575) (-1138.699) [-1136.410] (-1135.931) -- 0:08:17
7000 -- (-1137.191) (-1146.835) (-1128.960) [-1138.163] * [-1132.638] (-1140.729) (-1145.400) (-1134.899) -- 0:07:05
8000 -- (-1128.542) (-1144.211) [-1123.526] (-1136.444) * (-1143.120) (-1157.065) (-1152.140) [-1146.834] -- 0:08:16
9000 -- (-1128.617) (-1132.994) (-1137.126) [-1118.777] * (-1151.737) (-1131.642) (-1142.804) [-1138.432] -- 0:07:20
10000 -- (-1129.062) (-1140.985) (-1128.907) [-1124.584] * (-1141.495) (-1133.819) (-1136.328) [-1126.515] -- 0:08:15
Average standard deviation of split frequencies: 0.068024
11000 -- (-1131.003) (-1133.708) (-1135.788) [-1120.619] * (-1137.783) (-1150.260) (-1135.820) [-1125.318] -- 0:07:29
12000 -- (-1134.300) (-1147.631) (-1141.036) [-1132.735] * (-1137.922) (-1120.327) [-1131.048] (-1141.391) -- 0:08:14
13000 -- (-1131.261) (-1145.116) (-1145.333) [-1125.343] * (-1144.302) (-1120.565) [-1124.762] (-1128.336) -- 0:07:35
14000 -- [-1130.389] (-1136.184) (-1137.153) (-1142.472) * (-1141.455) (-1139.981) (-1128.389) [-1125.571] -- 0:08:13
15000 -- [-1121.722] (-1124.841) (-1140.160) (-1132.709) * (-1139.303) (-1118.693) [-1118.450] (-1127.716) -- 0:07:39
Average standard deviation of split frequencies: 0.055284
16000 -- [-1119.260] (-1143.740) (-1130.806) (-1147.445) * (-1136.378) (-1123.665) [-1125.561] (-1138.127) -- 0:08:12
17000 -- [-1118.859] (-1152.834) (-1129.679) (-1131.004) * (-1146.363) [-1127.772] (-1138.417) (-1126.624) -- 0:07:42
18000 -- (-1137.875) (-1125.648) (-1140.570) [-1124.798] * (-1124.232) [-1130.584] (-1135.173) (-1125.315) -- 0:08:11
19000 -- (-1145.821) (-1131.785) (-1137.287) [-1122.432] * (-1150.534) [-1127.299] (-1132.011) (-1131.602) -- 0:07:44
20000 -- (-1134.081) (-1134.676) (-1124.926) [-1120.837] * (-1130.832) (-1123.007) (-1135.284) [-1121.825] -- 0:08:10
Average standard deviation of split frequencies: 0.049041
21000 -- (-1148.843) (-1132.048) (-1131.479) [-1123.442] * (-1139.930) [-1129.159] (-1126.136) (-1134.555) -- 0:07:46
22000 -- (-1131.483) [-1115.593] (-1135.737) (-1132.242) * (-1133.786) [-1131.349] (-1143.879) (-1130.948) -- 0:08:09
23000 -- (-1151.628) (-1124.465) (-1137.971) [-1116.216] * (-1136.977) (-1136.970) [-1124.796] (-1124.315) -- 0:07:47
24000 -- (-1145.291) [-1131.259] (-1136.024) (-1121.239) * (-1126.705) (-1139.524) [-1125.044] (-1127.441) -- 0:08:08
25000 -- (-1130.588) (-1135.272) [-1122.888] (-1133.414) * (-1139.532) (-1151.066) (-1137.948) [-1125.731] -- 0:07:48
Average standard deviation of split frequencies: 0.047617
26000 -- (-1154.974) [-1139.596] (-1135.186) (-1129.724) * (-1135.484) (-1132.981) [-1129.263] (-1130.413) -- 0:08:07
27000 -- (-1136.053) (-1124.380) (-1125.322) [-1125.958] * (-1124.733) (-1141.918) (-1129.625) [-1115.709] -- 0:07:48
28000 -- (-1138.645) [-1121.925] (-1126.917) (-1125.807) * (-1126.900) (-1134.044) [-1133.236] (-1138.638) -- 0:08:06
29000 -- (-1144.606) (-1135.140) (-1132.805) [-1132.091] * (-1125.138) [-1126.372] (-1134.807) (-1133.704) -- 0:07:48
30000 -- [-1124.532] (-1127.124) (-1132.180) (-1123.600) * (-1134.502) [-1124.356] (-1130.859) (-1132.934) -- 0:08:05
Average standard deviation of split frequencies: 0.047482
31000 -- (-1130.262) [-1132.423] (-1134.440) (-1122.490) * (-1125.210) [-1126.798] (-1124.149) (-1134.525) -- 0:07:48
32000 -- (-1136.909) (-1121.835) (-1138.627) [-1125.126] * (-1127.114) (-1126.778) (-1140.117) [-1123.945] -- 0:08:04
33000 -- (-1132.299) (-1119.451) [-1136.093] (-1137.158) * [-1119.585] (-1117.813) (-1131.247) (-1127.562) -- 0:07:48
34000 -- (-1129.683) [-1124.281] (-1129.429) (-1143.791) * (-1125.760) [-1129.646] (-1128.049) (-1136.725) -- 0:08:03
35000 -- (-1127.433) [-1120.314] (-1136.092) (-1118.840) * [-1118.215] (-1138.527) (-1133.517) (-1142.873) -- 0:07:48
Average standard deviation of split frequencies: 0.042211
36000 -- (-1126.152) [-1123.816] (-1157.504) (-1129.914) * (-1140.358) (-1133.948) [-1123.919] (-1133.599) -- 0:08:02
37000 -- (-1137.837) (-1128.663) (-1148.466) [-1124.441] * [-1117.535] (-1133.244) (-1128.103) (-1148.912) -- 0:07:48
38000 -- (-1144.336) [-1124.611] (-1130.038) (-1118.795) * (-1123.983) (-1134.798) (-1137.734) [-1136.796] -- 0:08:01
39000 -- (-1123.139) [-1128.475] (-1134.545) (-1131.269) * (-1139.897) [-1133.883] (-1135.467) (-1122.192) -- 0:07:48
40000 -- (-1156.556) [-1127.609] (-1135.039) (-1131.668) * (-1132.846) (-1136.138) (-1152.786) [-1132.723] -- 0:08:00
Average standard deviation of split frequencies: 0.041400
41000 -- (-1146.514) (-1128.369) [-1126.461] (-1118.735) * (-1137.384) (-1134.705) (-1143.141) [-1124.756] -- 0:07:47
42000 -- (-1136.003) (-1136.314) [-1125.524] (-1136.540) * (-1131.864) (-1125.972) (-1133.047) [-1123.691] -- 0:07:59
43000 -- (-1123.658) (-1138.508) (-1132.923) [-1114.637] * (-1129.120) [-1130.184] (-1125.095) (-1129.564) -- 0:07:47
44000 -- [-1119.137] (-1135.590) (-1124.903) (-1122.807) * [-1134.804] (-1137.882) (-1133.007) (-1138.439) -- 0:07:58
45000 -- (-1134.137) (-1131.970) (-1136.385) [-1131.686] * [-1121.387] (-1129.814) (-1136.586) (-1136.231) -- 0:07:46
Average standard deviation of split frequencies: 0.037803
46000 -- (-1133.835) (-1128.344) (-1127.176) [-1122.273] * [-1118.597] (-1141.068) (-1133.508) (-1134.180) -- 0:07:57
47000 -- (-1143.275) [-1121.374] (-1139.755) (-1130.290) * [-1125.738] (-1138.722) (-1136.298) (-1128.933) -- 0:07:46
48000 -- (-1138.300) (-1138.746) (-1141.933) [-1124.812] * (-1138.243) (-1143.886) (-1129.610) [-1124.114] -- 0:07:56
49000 -- (-1151.144) (-1139.011) (-1139.656) [-1127.866] * [-1128.314] (-1140.778) (-1127.666) (-1130.448) -- 0:07:45
50000 -- (-1143.738) [-1122.136] (-1124.051) (-1125.313) * (-1128.420) (-1152.402) (-1137.045) [-1119.624] -- 0:07:55
Average standard deviation of split frequencies: 0.036330
51000 -- (-1160.650) [-1130.088] (-1145.708) (-1129.968) * (-1141.705) (-1142.759) [-1124.249] (-1131.416) -- 0:07:45
52000 -- (-1179.635) [-1120.405] (-1136.067) (-1137.480) * (-1125.705) (-1141.470) [-1118.515] (-1136.576) -- 0:07:54
53000 -- (-1190.270) [-1132.701] (-1122.699) (-1141.763) * [-1117.245] (-1139.991) (-1136.621) (-1124.984) -- 0:08:02
54000 -- (-1174.939) (-1126.061) [-1125.821] (-1132.696) * [-1123.286] (-1154.076) (-1132.924) (-1121.665) -- 0:07:53
55000 -- (-1182.079) (-1136.731) [-1120.050] (-1131.491) * [-1129.213] (-1147.899) (-1131.881) (-1125.094) -- 0:08:01
Average standard deviation of split frequencies: 0.034191
56000 -- (-1178.990) (-1131.369) (-1125.029) [-1122.868] * (-1134.235) (-1147.392) (-1128.476) [-1128.580] -- 0:07:52
57000 -- (-1179.859) (-1140.990) [-1117.883] (-1131.110) * (-1126.647) (-1153.439) [-1117.706] (-1126.179) -- 0:07:59
58000 -- (-1181.795) (-1133.970) (-1114.320) [-1130.697] * (-1135.247) (-1138.001) (-1121.284) [-1130.139] -- 0:07:51
59000 -- (-1188.227) (-1125.907) [-1118.211] (-1135.862) * [-1116.375] (-1139.835) (-1123.614) (-1132.874) -- 0:07:58
60000 -- (-1176.691) (-1126.790) (-1126.622) [-1129.556] * (-1127.787) [-1122.754] (-1124.797) (-1149.359) -- 0:07:50
Average standard deviation of split frequencies: 0.033465
61000 -- (-1185.673) [-1125.250] (-1126.379) (-1125.027) * (-1128.077) (-1135.529) [-1147.826] (-1154.144) -- 0:07:57
62000 -- (-1179.271) (-1129.062) (-1134.855) [-1125.526] * (-1134.770) [-1126.175] (-1140.534) (-1126.524) -- 0:07:49
63000 -- (-1187.617) (-1121.467) (-1141.968) [-1121.259] * (-1137.984) [-1125.718] (-1126.798) (-1139.851) -- 0:07:55
64000 -- (-1196.439) (-1137.574) [-1125.169] (-1125.980) * [-1122.589] (-1134.388) (-1124.881) (-1132.765) -- 0:07:48
65000 -- (-1188.655) (-1135.379) [-1128.106] (-1130.382) * (-1135.538) (-1120.243) (-1134.685) [-1117.636] -- 0:07:54
Average standard deviation of split frequencies: 0.031259
66000 -- (-1172.129) (-1148.632) (-1124.179) [-1121.179] * (-1135.982) (-1125.531) (-1148.816) [-1131.555] -- 0:07:47
67000 -- (-1178.452) (-1132.247) (-1143.096) [-1125.335] * (-1145.323) (-1132.242) (-1147.283) [-1116.059] -- 0:07:53
68000 -- (-1174.264) (-1125.342) [-1123.562] (-1123.294) * (-1137.537) (-1134.081) (-1130.364) [-1121.960] -- 0:07:46
69000 -- (-1176.870) (-1126.647) (-1129.889) [-1127.047] * (-1127.901) (-1153.235) (-1121.793) [-1117.115] -- 0:07:52
70000 -- (-1180.803) (-1140.377) (-1125.258) [-1126.297] * (-1132.600) (-1152.105) [-1123.415] (-1119.348) -- 0:07:45
Average standard deviation of split frequencies: 0.031019
71000 -- (-1180.252) (-1137.314) [-1126.590] (-1128.439) * [-1123.015] (-1134.641) (-1134.923) (-1144.791) -- 0:07:51
72000 -- (-1180.304) (-1128.011) [-1122.374] (-1137.722) * (-1122.212) (-1131.316) (-1159.436) [-1125.355] -- 0:07:44
73000 -- (-1195.173) (-1124.971) (-1130.689) [-1135.756] * (-1131.346) (-1133.757) (-1155.253) [-1121.967] -- 0:07:49
74000 -- (-1178.029) (-1126.241) (-1140.240) [-1137.198] * (-1147.503) [-1134.541] (-1160.427) (-1120.377) -- 0:07:43
75000 -- (-1197.340) (-1127.658) (-1133.063) [-1129.213] * (-1129.029) [-1120.883] (-1147.101) (-1116.263) -- 0:07:48
Average standard deviation of split frequencies: 0.028863
76000 -- (-1188.077) (-1121.332) (-1134.815) [-1128.666] * (-1129.020) (-1140.870) (-1131.583) [-1122.291] -- 0:07:42
77000 -- (-1180.772) (-1134.767) (-1141.459) [-1132.979] * (-1136.256) (-1139.144) (-1129.542) [-1136.303] -- 0:07:47
78000 -- (-1194.762) (-1126.449) (-1138.761) [-1130.495] * (-1133.455) (-1138.360) (-1130.240) [-1124.403] -- 0:07:41
79000 -- (-1191.485) (-1122.152) (-1130.391) [-1124.982] * (-1130.037) (-1150.054) (-1133.324) [-1131.682] -- 0:07:46
80000 -- (-1186.032) [-1128.193] (-1149.536) (-1130.791) * (-1132.537) (-1153.386) (-1119.353) [-1125.691] -- 0:07:40
Average standard deviation of split frequencies: 0.029851
81000 -- (-1187.080) (-1129.209) (-1127.232) [-1124.486] * (-1140.048) (-1138.112) (-1116.007) [-1127.606] -- 0:07:45
82000 -- (-1183.775) (-1133.758) [-1131.645] (-1122.094) * (-1151.946) (-1128.880) (-1122.130) [-1125.382] -- 0:07:39
83000 -- (-1188.453) (-1126.425) [-1128.677] (-1129.845) * (-1143.922) (-1143.576) [-1125.110] (-1138.208) -- 0:07:44
84000 -- (-1186.358) (-1128.809) [-1119.855] (-1125.852) * (-1125.001) (-1143.901) (-1138.621) [-1117.690] -- 0:07:38
85000 -- (-1190.271) [-1124.057] (-1128.518) (-1123.933) * (-1158.689) [-1135.344] (-1136.924) (-1132.665) -- 0:07:42
Average standard deviation of split frequencies: 0.026271
86000 -- (-1177.898) [-1130.560] (-1121.424) (-1144.338) * (-1128.998) (-1136.794) (-1137.126) [-1137.680] -- 0:07:37
87000 -- (-1183.534) (-1121.234) [-1126.346] (-1124.898) * (-1147.340) (-1128.994) (-1129.074) [-1138.248] -- 0:07:41
88000 -- (-1175.849) (-1125.043) [-1131.789] (-1143.988) * (-1159.662) (-1126.338) (-1133.076) [-1129.748] -- 0:07:46
89000 -- (-1170.330) (-1127.306) (-1139.627) [-1120.743] * (-1159.683) (-1121.940) [-1132.074] (-1129.645) -- 0:07:40
90000 -- (-1187.940) (-1125.042) [-1121.395] (-1131.182) * (-1143.291) [-1131.136] (-1138.714) (-1124.980) -- 0:07:45
Average standard deviation of split frequencies: 0.024475
91000 -- (-1181.931) [-1122.632] (-1128.234) (-1136.088) * (-1156.288) (-1133.810) [-1128.778] (-1135.048) -- 0:07:39
92000 -- (-1192.463) [-1120.034] (-1119.026) (-1141.671) * [-1124.411] (-1152.476) (-1132.271) (-1127.790) -- 0:07:43
93000 -- (-1177.554) [-1115.616] (-1125.201) (-1132.811) * (-1122.180) (-1130.719) [-1116.783] (-1146.716) -- 0:07:38
94000 -- (-1180.680) (-1143.030) [-1123.369] (-1131.250) * (-1149.125) (-1132.974) [-1116.181] (-1141.248) -- 0:07:42
95000 -- (-1181.298) (-1132.214) (-1138.436) [-1125.159] * (-1123.147) (-1146.050) [-1121.740] (-1150.181) -- 0:07:37
Average standard deviation of split frequencies: 0.023356
96000 -- (-1175.164) (-1124.496) [-1117.741] (-1125.258) * [-1126.954] (-1145.726) (-1125.082) (-1134.493) -- 0:07:41
97000 -- (-1171.897) (-1120.212) (-1136.527) [-1128.739] * (-1129.635) (-1158.161) [-1122.456] (-1129.208) -- 0:07:36
98000 -- (-1183.718) (-1144.616) [-1130.047] (-1128.094) * (-1141.422) (-1126.839) (-1135.335) [-1124.546] -- 0:07:40
99000 -- (-1179.245) (-1123.517) [-1121.929] (-1135.508) * [-1126.545] (-1138.122) (-1147.086) (-1134.843) -- 0:07:35
100000 -- (-1197.859) [-1128.910] (-1128.689) (-1130.747) * (-1123.565) [-1125.249] (-1126.568) (-1140.754) -- 0:07:39
Average standard deviation of split frequencies: 0.023040
101000 -- (-1186.213) (-1115.024) [-1118.195] (-1147.087) * [-1134.515] (-1141.079) (-1125.925) (-1137.466) -- 0:07:33
102000 -- (-1178.589) (-1131.216) [-1130.976] (-1137.682) * (-1132.811) (-1131.681) (-1131.764) [-1121.897] -- 0:07:37
103000 -- (-1190.549) [-1124.879] (-1141.065) (-1129.974) * (-1128.376) [-1125.999] (-1142.914) (-1117.767) -- 0:07:32
104000 -- (-1181.186) [-1123.486] (-1126.699) (-1127.314) * (-1128.740) (-1127.674) (-1148.308) [-1121.390] -- 0:07:36
105000 -- (-1176.908) (-1126.976) [-1123.007] (-1122.160) * (-1120.536) [-1124.916] (-1160.904) (-1128.438) -- 0:07:31
Average standard deviation of split frequencies: 0.022558
106000 -- (-1187.069) (-1126.293) (-1128.567) [-1128.468] * (-1124.062) [-1142.237] (-1152.852) (-1128.392) -- 0:07:35
107000 -- (-1178.848) (-1129.541) (-1131.072) [-1126.936] * (-1126.471) (-1138.158) (-1139.585) [-1125.859] -- 0:07:30
108000 -- (-1183.147) [-1117.428] (-1119.613) (-1128.077) * (-1132.927) [-1120.322] (-1134.519) (-1143.747) -- 0:07:34
109000 -- (-1188.581) (-1119.991) (-1142.795) [-1124.557] * (-1143.255) (-1132.929) [-1126.262] (-1134.618) -- 0:07:29
110000 -- (-1183.005) (-1117.686) (-1151.136) [-1118.061] * (-1134.508) (-1124.303) [-1124.158] (-1146.795) -- 0:07:33
Average standard deviation of split frequencies: 0.021937
111000 -- (-1187.474) [-1128.518] (-1141.466) (-1131.330) * (-1133.519) (-1123.684) [-1128.209] (-1136.151) -- 0:07:28
112000 -- (-1181.099) [-1130.130] (-1124.205) (-1120.517) * (-1134.863) (-1136.003) [-1125.978] (-1130.775) -- 0:07:31
113000 -- (-1178.241) [-1129.752] (-1125.978) (-1118.397) * [-1128.792] (-1138.998) (-1130.008) (-1128.075) -- 0:07:27
114000 -- (-1181.961) [-1126.721] (-1125.629) (-1126.551) * [-1123.573] (-1131.546) (-1129.978) (-1135.707) -- 0:07:30
115000 -- (-1197.946) (-1128.360) (-1141.546) [-1125.915] * (-1141.977) (-1146.645) (-1132.064) [-1134.543] -- 0:07:26
Average standard deviation of split frequencies: 0.021782
116000 -- (-1199.694) (-1129.853) (-1143.175) [-1124.395] * [-1128.959] (-1130.344) (-1129.009) (-1144.943) -- 0:07:29
117000 -- (-1186.237) [-1125.305] (-1122.610) (-1135.331) * [-1129.057] (-1136.145) (-1120.443) (-1137.880) -- 0:07:32
118000 -- (-1178.442) [-1122.978] (-1132.773) (-1134.374) * [-1124.076] (-1136.845) (-1125.473) (-1138.207) -- 0:07:28
119000 -- (-1183.887) [-1122.879] (-1141.396) (-1131.790) * [-1119.734] (-1125.915) (-1140.440) (-1139.901) -- 0:07:31
120000 -- (-1179.638) [-1125.216] (-1125.540) (-1134.493) * (-1122.891) (-1142.441) [-1118.390] (-1139.604) -- 0:07:27
Average standard deviation of split frequencies: 0.022238
121000 -- (-1183.924) [-1117.608] (-1142.259) (-1120.797) * (-1132.394) (-1131.530) [-1122.974] (-1146.968) -- 0:07:30
122000 -- (-1176.380) [-1120.762] (-1131.114) (-1132.143) * (-1129.817) [-1123.440] (-1136.068) (-1138.284) -- 0:07:26
123000 -- (-1195.300) (-1128.622) [-1128.237] (-1131.152) * (-1126.640) [-1122.046] (-1135.352) (-1150.073) -- 0:07:29
124000 -- (-1180.625) (-1151.735) [-1126.085] (-1125.917) * [-1124.771] (-1134.595) (-1143.884) (-1129.271) -- 0:07:25
125000 -- (-1183.908) (-1139.090) [-1124.769] (-1134.593) * (-1137.586) [-1131.179] (-1139.722) (-1139.528) -- 0:07:28
Average standard deviation of split frequencies: 0.021005
126000 -- (-1199.251) (-1140.154) (-1126.814) [-1125.963] * (-1132.241) [-1117.448] (-1126.372) (-1132.751) -- 0:07:23
127000 -- (-1198.814) [-1129.392] (-1121.616) (-1129.428) * (-1138.212) [-1127.779] (-1130.762) (-1126.603) -- 0:07:26
128000 -- (-1182.489) (-1128.786) [-1131.818] (-1136.962) * [-1132.612] (-1140.942) (-1129.475) (-1115.091) -- 0:07:22
129000 -- (-1179.724) [-1133.628] (-1132.151) (-1124.692) * (-1138.624) (-1138.790) (-1130.321) [-1114.286] -- 0:07:25
130000 -- (-1176.117) (-1140.888) (-1128.640) [-1125.899] * (-1133.705) (-1136.020) (-1131.908) [-1126.254] -- 0:07:21
Average standard deviation of split frequencies: 0.019909
131000 -- (-1178.716) [-1131.950] (-1130.256) (-1120.653) * [-1122.331] (-1136.869) (-1139.459) (-1133.121) -- 0:07:24
132000 -- (-1192.924) [-1125.424] (-1129.517) (-1140.676) * (-1132.279) (-1132.355) (-1131.901) [-1134.459] -- 0:07:20
133000 -- (-1174.782) [-1126.970] (-1130.201) (-1128.002) * [-1127.775] (-1124.097) (-1142.665) (-1143.677) -- 0:07:23
134000 -- (-1192.153) (-1139.302) [-1122.680] (-1124.694) * (-1127.772) [-1118.684] (-1163.411) (-1147.457) -- 0:07:19
135000 -- (-1194.731) [-1135.187] (-1133.652) (-1119.788) * [-1121.162] (-1121.411) (-1156.571) (-1145.260) -- 0:07:22
Average standard deviation of split frequencies: 0.018952
136000 -- (-1190.030) (-1132.368) (-1133.195) [-1124.826] * (-1122.959) [-1128.141] (-1148.053) (-1137.564) -- 0:07:18
137000 -- (-1192.071) (-1135.897) [-1129.375] (-1143.414) * (-1127.003) [-1120.871] (-1143.513) (-1160.691) -- 0:07:20
138000 -- (-1178.840) (-1147.644) (-1130.411) [-1121.299] * [-1124.960] (-1130.560) (-1141.997) (-1141.779) -- 0:07:17
139000 -- (-1197.992) (-1158.765) (-1125.748) [-1123.579] * (-1123.940) [-1132.906] (-1150.147) (-1140.267) -- 0:07:19
140000 -- (-1188.015) (-1140.189) [-1135.085] (-1122.783) * (-1125.487) (-1126.918) (-1147.633) [-1144.792] -- 0:07:16
Average standard deviation of split frequencies: 0.018946
141000 -- (-1188.478) (-1127.074) (-1139.047) [-1127.945] * [-1125.308] (-1134.996) (-1131.947) (-1131.804) -- 0:07:18
142000 -- (-1184.208) (-1121.951) (-1133.432) [-1123.433] * (-1118.977) (-1142.129) (-1135.321) [-1127.309] -- 0:07:15
143000 -- (-1189.734) (-1127.893) [-1120.541] (-1132.106) * (-1130.350) (-1159.569) (-1136.901) [-1126.310] -- 0:07:17
144000 -- (-1190.418) [-1119.045] (-1140.193) (-1142.334) * (-1128.919) (-1130.448) (-1128.603) [-1124.703] -- 0:07:13
145000 -- (-1190.480) (-1135.636) [-1122.495] (-1134.137) * (-1128.529) (-1126.763) (-1131.937) [-1127.276] -- 0:07:16
Average standard deviation of split frequencies: 0.018536
146000 -- (-1196.437) (-1134.672) (-1138.764) [-1126.222] * (-1145.852) (-1137.493) (-1123.455) [-1126.444] -- 0:07:18
147000 -- (-1182.748) (-1120.881) [-1124.766] (-1144.957) * (-1123.062) (-1146.273) [-1123.805] (-1145.326) -- 0:07:15
148000 -- (-1196.824) (-1127.052) [-1118.749] (-1128.046) * (-1133.257) [-1135.589] (-1146.091) (-1127.230) -- 0:07:17
149000 -- (-1185.875) (-1137.147) [-1121.495] (-1119.537) * (-1155.741) [-1119.020] (-1136.359) (-1133.253) -- 0:07:14
150000 -- (-1178.708) (-1139.597) (-1125.579) [-1120.072] * (-1158.469) [-1126.429] (-1131.087) (-1123.934) -- 0:07:16
Average standard deviation of split frequencies: 0.018099
151000 -- (-1189.257) (-1122.848) (-1137.994) [-1123.956] * (-1146.604) (-1140.468) (-1127.365) [-1126.406] -- 0:07:12
152000 -- (-1200.362) (-1142.496) (-1127.549) [-1124.096] * (-1149.100) [-1131.515] (-1117.764) (-1137.443) -- 0:07:15
153000 -- (-1186.393) [-1122.659] (-1122.895) (-1123.107) * (-1132.690) (-1168.503) (-1122.688) [-1122.520] -- 0:07:11
154000 -- (-1189.702) (-1127.869) (-1133.247) [-1121.326] * [-1122.711] (-1211.876) (-1139.073) (-1133.323) -- 0:07:13
155000 -- (-1192.325) (-1131.735) (-1142.822) [-1126.898] * (-1126.135) (-1204.904) (-1133.792) [-1133.097] -- 0:07:10
Average standard deviation of split frequencies: 0.018286
156000 -- (-1205.631) [-1131.142] (-1128.694) (-1138.698) * [-1124.950] (-1202.345) (-1130.374) (-1127.233) -- 0:07:12
157000 -- (-1179.724) [-1131.669] (-1124.436) (-1145.373) * (-1130.448) (-1196.553) [-1130.684] (-1132.243) -- 0:07:09
158000 -- (-1194.320) (-1114.461) [-1127.057] (-1132.292) * (-1133.530) (-1201.532) (-1132.676) [-1132.005] -- 0:07:11
159000 -- (-1177.651) (-1124.412) [-1132.084] (-1133.915) * (-1127.188) (-1189.168) (-1136.584) [-1132.008] -- 0:07:08
160000 -- (-1190.805) [-1136.716] (-1127.072) (-1145.276) * [-1139.860] (-1198.167) (-1130.651) (-1137.623) -- 0:07:10
Average standard deviation of split frequencies: 0.018366
161000 -- (-1190.722) [-1134.897] (-1126.521) (-1122.919) * (-1142.643) (-1196.166) [-1118.486] (-1137.627) -- 0:07:07
162000 -- (-1179.002) (-1130.088) (-1125.653) [-1131.601] * (-1130.803) (-1206.031) (-1116.652) [-1133.994] -- 0:07:09
163000 -- (-1171.451) [-1133.583] (-1127.192) (-1142.466) * (-1136.382) (-1199.586) (-1130.173) [-1125.849] -- 0:07:06
164000 -- (-1183.325) [-1127.584] (-1137.451) (-1124.234) * (-1134.592) (-1192.272) (-1130.345) [-1120.808] -- 0:07:08
165000 -- (-1187.447) [-1122.451] (-1127.890) (-1135.765) * (-1132.309) (-1206.968) [-1122.152] (-1130.782) -- 0:07:05
Average standard deviation of split frequencies: 0.017542
166000 -- (-1182.752) (-1144.260) [-1118.897] (-1122.982) * (-1125.453) (-1204.236) [-1131.766] (-1133.203) -- 0:07:07
167000 -- (-1176.078) [-1128.053] (-1127.299) (-1140.565) * [-1128.630] (-1192.798) (-1141.015) (-1120.797) -- 0:07:03
168000 -- (-1183.018) (-1125.516) (-1126.931) [-1123.848] * (-1132.349) (-1183.083) (-1128.189) [-1123.574] -- 0:07:05
169000 -- (-1190.247) [-1132.539] (-1126.541) (-1138.974) * (-1128.659) (-1198.827) [-1127.363] (-1125.003) -- 0:07:02
170000 -- (-1175.615) (-1122.745) [-1116.451] (-1136.208) * (-1127.744) (-1193.342) [-1123.597] (-1125.345) -- 0:07:04
Average standard deviation of split frequencies: 0.017554
171000 -- (-1181.792) (-1132.368) [-1115.124] (-1150.581) * [-1132.212] (-1200.776) (-1137.840) (-1136.705) -- 0:07:01
172000 -- (-1178.199) (-1129.329) [-1130.772] (-1138.020) * (-1121.882) (-1199.124) [-1123.381] (-1130.592) -- 0:07:03
173000 -- (-1184.052) (-1122.354) (-1131.198) [-1126.498] * (-1129.447) (-1191.375) (-1136.508) [-1119.996] -- 0:07:00
174000 -- (-1196.630) (-1130.202) (-1145.911) [-1124.021] * (-1134.379) (-1199.303) (-1136.268) [-1121.412] -- 0:07:02
175000 -- (-1197.549) (-1140.979) [-1134.227] (-1133.310) * [-1128.675] (-1199.348) (-1135.568) (-1129.828) -- 0:07:04
Average standard deviation of split frequencies: 0.017463
176000 -- (-1178.040) (-1128.421) (-1136.501) [-1123.632] * (-1125.352) (-1206.936) (-1141.348) [-1128.328] -- 0:07:01
177000 -- (-1179.378) (-1126.284) [-1136.242] (-1125.548) * (-1118.383) (-1204.028) (-1147.505) [-1132.918] -- 0:07:03
178000 -- (-1188.612) (-1133.901) [-1130.431] (-1129.229) * [-1122.282] (-1205.985) (-1132.695) (-1126.565) -- 0:07:00
179000 -- (-1183.086) (-1128.803) [-1130.790] (-1129.695) * (-1132.683) (-1204.396) (-1140.346) [-1126.590] -- 0:07:01
180000 -- (-1183.236) (-1127.567) [-1121.549] (-1143.283) * (-1126.941) (-1208.553) [-1123.299] (-1141.087) -- 0:06:59
Average standard deviation of split frequencies: 0.017983
181000 -- (-1180.785) (-1122.355) [-1122.078] (-1134.602) * (-1125.920) (-1203.875) (-1133.631) [-1128.926] -- 0:07:00
182000 -- (-1194.224) [-1123.449] (-1128.890) (-1134.775) * (-1136.311) (-1213.146) [-1133.219] (-1132.022) -- 0:06:57
183000 -- (-1195.752) (-1130.559) [-1129.132] (-1132.597) * (-1132.215) (-1207.794) [-1125.730] (-1149.258) -- 0:06:59
184000 -- (-1174.094) [-1118.579] (-1133.381) (-1119.028) * [-1124.301] (-1209.414) (-1145.278) (-1123.764) -- 0:06:56
185000 -- (-1177.140) [-1125.582] (-1127.455) (-1138.120) * (-1127.087) (-1197.681) (-1134.705) [-1116.217] -- 0:06:58
Average standard deviation of split frequencies: 0.016424
186000 -- (-1192.746) (-1136.002) (-1127.314) [-1132.383] * [-1119.153] (-1198.190) (-1124.665) (-1140.007) -- 0:06:55
187000 -- (-1186.270) (-1131.562) (-1132.477) [-1135.782] * [-1122.108] (-1198.198) (-1131.016) (-1126.952) -- 0:06:57
188000 -- (-1168.676) (-1154.462) [-1115.326] (-1133.656) * [-1114.881] (-1189.199) (-1127.404) (-1134.165) -- 0:06:54
189000 -- (-1195.222) (-1131.876) [-1136.991] (-1142.801) * (-1119.671) (-1197.704) [-1126.017] (-1120.844) -- 0:06:56
190000 -- (-1196.643) (-1132.873) (-1126.460) [-1122.729] * (-1119.935) (-1200.660) (-1141.270) [-1130.756] -- 0:06:53
Average standard deviation of split frequencies: 0.016624
191000 -- (-1187.687) (-1127.646) (-1136.951) [-1121.020] * [-1117.325] (-1188.929) (-1128.140) (-1128.167) -- 0:06:55
192000 -- (-1177.029) (-1128.484) (-1145.327) [-1124.261] * (-1115.825) (-1188.605) [-1128.308] (-1123.004) -- 0:06:52
193000 -- (-1176.956) (-1135.107) (-1133.642) [-1126.283] * (-1128.199) (-1204.567) [-1133.428] (-1136.486) -- 0:06:53
194000 -- (-1181.851) (-1135.708) [-1125.311] (-1126.859) * (-1131.500) (-1197.824) (-1159.435) [-1121.212] -- 0:06:51
195000 -- (-1186.458) (-1127.975) [-1135.899] (-1138.991) * (-1141.614) (-1208.257) [-1120.094] (-1133.470) -- 0:06:52
Average standard deviation of split frequencies: 0.015731
196000 -- (-1203.338) (-1123.001) [-1121.504] (-1141.333) * [-1132.961] (-1210.720) (-1124.598) (-1133.402) -- 0:06:50
197000 -- (-1193.999) (-1136.786) (-1128.773) [-1127.827] * (-1135.540) (-1197.033) [-1126.858] (-1131.540) -- 0:06:51
198000 -- (-1200.840) (-1128.136) [-1123.119] (-1130.383) * (-1133.325) (-1199.312) (-1123.728) [-1124.277] -- 0:06:49
199000 -- (-1194.761) (-1135.076) [-1117.315] (-1130.888) * (-1135.920) (-1200.151) (-1137.258) [-1131.982] -- 0:06:50
200000 -- (-1193.320) (-1119.657) [-1127.562] (-1137.463) * [-1131.715] (-1194.446) (-1119.729) (-1133.969) -- 0:06:48
Average standard deviation of split frequencies: 0.016068
201000 -- (-1183.460) [-1127.005] (-1120.950) (-1148.727) * (-1130.711) (-1206.178) (-1131.929) [-1123.209] -- 0:06:49
202000 -- (-1191.131) (-1121.818) [-1120.750] (-1146.115) * [-1125.361] (-1200.039) (-1138.184) (-1128.685) -- 0:06:46
203000 -- (-1182.029) (-1127.905) [-1121.660] (-1135.919) * (-1134.898) (-1197.463) (-1128.621) [-1135.962] -- 0:06:48
204000 -- (-1182.742) (-1127.607) (-1132.433) [-1115.939] * (-1133.399) (-1192.574) [-1123.327] (-1127.947) -- 0:06:45
205000 -- (-1193.665) (-1145.798) [-1123.024] (-1135.859) * [-1122.562] (-1193.834) (-1122.741) (-1126.733) -- 0:06:47
Average standard deviation of split frequencies: 0.015866
206000 -- (-1183.313) [-1131.197] (-1144.789) (-1137.637) * (-1132.703) (-1200.452) (-1124.291) [-1123.644] -- 0:06:44
207000 -- (-1189.830) (-1129.759) [-1125.247] (-1131.512) * (-1123.734) (-1202.124) [-1124.185] (-1147.627) -- 0:06:46
208000 -- (-1191.244) [-1120.971] (-1123.823) (-1131.489) * [-1119.396] (-1200.793) (-1131.982) (-1130.478) -- 0:06:43
209000 -- (-1190.894) (-1121.999) (-1129.310) [-1135.273] * (-1130.826) (-1217.493) [-1120.734] (-1127.557) -- 0:06:44
210000 -- (-1200.890) (-1136.208) (-1128.868) [-1131.676] * (-1126.299) (-1216.801) [-1120.990] (-1143.223) -- 0:06:42
Average standard deviation of split frequencies: 0.015572
211000 -- (-1185.460) [-1118.815] (-1125.939) (-1136.464) * [-1126.073] (-1207.028) (-1141.060) (-1134.811) -- 0:06:43
212000 -- (-1184.372) [-1128.704] (-1125.123) (-1141.034) * [-1129.505] (-1208.511) (-1127.327) (-1125.249) -- 0:06:41
213000 -- (-1179.003) (-1127.901) (-1121.528) [-1121.988] * (-1131.541) (-1194.594) (-1125.197) [-1127.104] -- 0:06:42
214000 -- (-1177.851) (-1131.853) (-1138.240) [-1137.303] * (-1126.135) (-1202.245) (-1130.908) [-1132.107] -- 0:06:40
215000 -- (-1186.367) [-1121.842] (-1129.793) (-1130.825) * (-1125.111) (-1219.529) (-1135.616) [-1133.210] -- 0:06:41
Average standard deviation of split frequencies: 0.015216
216000 -- (-1177.619) (-1131.331) [-1122.793] (-1139.295) * (-1139.614) (-1209.162) (-1133.783) [-1131.138] -- 0:06:39
217000 -- (-1180.974) [-1119.852] (-1131.226) (-1137.789) * (-1131.308) (-1199.200) [-1120.800] (-1142.661) -- 0:06:40
218000 -- (-1198.511) [-1129.718] (-1138.413) (-1134.921) * (-1135.172) (-1200.743) (-1131.552) [-1128.408] -- 0:06:38
219000 -- (-1182.188) (-1139.163) [-1126.545] (-1130.336) * (-1130.049) (-1202.262) [-1125.747] (-1140.469) -- 0:06:39
220000 -- (-1180.846) [-1127.815] (-1134.688) (-1131.462) * (-1130.313) (-1201.957) (-1140.436) [-1127.253] -- 0:06:37
Average standard deviation of split frequencies: 0.015869
221000 -- (-1173.688) [-1121.569] (-1130.067) (-1131.406) * [-1122.649] (-1203.691) (-1144.793) (-1126.666) -- 0:06:38
222000 -- (-1191.083) (-1137.651) (-1127.790) [-1126.069] * [-1128.053] (-1201.718) (-1125.807) (-1133.296) -- 0:06:36
223000 -- (-1186.982) (-1124.211) (-1122.641) [-1121.379] * (-1133.905) (-1207.061) [-1123.372] (-1131.897) -- 0:06:37
224000 -- (-1192.628) (-1138.788) (-1123.567) [-1129.399] * (-1125.343) (-1213.606) (-1128.865) [-1135.793] -- 0:06:34
225000 -- (-1210.293) (-1132.952) (-1143.267) [-1120.729] * (-1133.355) (-1194.024) (-1128.329) [-1134.529] -- 0:06:36
Average standard deviation of split frequencies: 0.014958
226000 -- (-1192.376) (-1122.503) (-1142.967) [-1124.736] * (-1136.232) (-1195.945) [-1134.396] (-1121.053) -- 0:06:33
227000 -- (-1180.067) (-1124.745) (-1154.807) [-1128.982] * (-1127.247) (-1203.006) [-1130.028] (-1134.698) -- 0:06:35
228000 -- (-1184.480) (-1133.884) (-1130.448) [-1120.967] * [-1120.056] (-1204.978) (-1129.146) (-1137.205) -- 0:06:32
229000 -- (-1187.803) (-1127.004) (-1136.822) [-1127.044] * (-1125.851) (-1194.881) [-1126.238] (-1130.933) -- 0:06:33
230000 -- (-1188.556) (-1133.449) (-1119.333) [-1123.627] * (-1131.388) (-1193.138) (-1126.025) [-1131.782] -- 0:06:31
Average standard deviation of split frequencies: 0.015193
231000 -- (-1191.005) [-1125.359] (-1139.310) (-1141.190) * (-1132.521) (-1204.998) (-1127.905) [-1123.991] -- 0:06:32
232000 -- (-1173.991) (-1124.694) (-1140.867) [-1126.769] * [-1130.014] (-1196.633) (-1135.301) (-1126.618) -- 0:06:30
233000 -- (-1187.153) [-1124.598] (-1137.065) (-1132.264) * (-1125.752) (-1190.245) [-1137.445] (-1135.947) -- 0:06:31
234000 -- (-1180.250) (-1132.347) [-1124.149] (-1123.685) * (-1138.073) (-1193.386) [-1125.325] (-1143.191) -- 0:06:29
235000 -- (-1180.867) (-1129.241) (-1135.008) [-1115.438] * (-1136.030) (-1192.583) [-1122.721] (-1119.118) -- 0:06:30
Average standard deviation of split frequencies: 0.015341
236000 -- (-1184.132) (-1125.687) [-1120.955] (-1126.893) * (-1133.492) (-1192.709) [-1125.971] (-1126.915) -- 0:06:28
237000 -- (-1184.864) (-1130.433) [-1120.216] (-1119.865) * [-1128.349] (-1201.088) (-1134.951) (-1127.705) -- 0:06:29
238000 -- (-1179.096) (-1138.014) (-1136.437) [-1122.354] * (-1133.426) (-1206.877) (-1131.213) [-1128.042] -- 0:06:27
239000 -- (-1184.738) (-1126.965) [-1128.175] (-1125.256) * (-1134.464) (-1212.348) (-1126.707) [-1130.665] -- 0:06:28
240000 -- (-1183.628) [-1124.018] (-1131.664) (-1127.812) * (-1134.451) (-1197.922) [-1126.938] (-1134.926) -- 0:06:29
Average standard deviation of split frequencies: 0.015480
241000 -- (-1184.369) (-1124.371) (-1126.617) [-1120.216] * (-1136.012) (-1209.598) (-1131.758) [-1124.521] -- 0:06:27
242000 -- (-1187.924) (-1124.698) [-1125.417] (-1127.943) * (-1134.853) (-1195.076) (-1126.047) [-1123.674] -- 0:06:28
243000 -- (-1194.799) (-1121.615) [-1139.421] (-1130.743) * (-1133.728) (-1208.381) (-1130.825) [-1126.492] -- 0:06:26
244000 -- (-1203.173) [-1134.328] (-1125.477) (-1125.335) * (-1131.434) (-1190.348) (-1127.640) [-1136.215] -- 0:06:27
245000 -- (-1182.394) (-1122.052) (-1136.558) [-1127.398] * (-1132.291) (-1205.771) (-1128.665) [-1136.678] -- 0:06:25
Average standard deviation of split frequencies: 0.015739
246000 -- (-1186.000) (-1125.625) (-1158.507) [-1120.691] * (-1146.774) (-1211.077) (-1130.296) [-1122.334] -- 0:06:26
247000 -- (-1187.799) [-1135.451] (-1126.715) (-1136.336) * (-1130.193) (-1208.850) [-1120.192] (-1121.813) -- 0:06:24
248000 -- (-1181.738) (-1123.661) (-1144.126) [-1130.443] * (-1125.033) (-1200.659) [-1130.164] (-1129.138) -- 0:06:25
249000 -- (-1183.080) (-1132.136) (-1144.696) [-1129.594] * [-1121.187] (-1202.609) (-1131.305) (-1123.087) -- 0:06:23
250000 -- (-1184.496) [-1121.120] (-1131.851) (-1135.759) * [-1123.833] (-1196.894) (-1136.068) (-1125.822) -- 0:06:24
Average standard deviation of split frequencies: 0.015324
251000 -- (-1191.234) (-1124.821) (-1115.306) [-1125.778] * [-1130.156] (-1197.802) (-1143.167) (-1150.265) -- 0:06:21
252000 -- (-1180.045) [-1127.943] (-1128.209) (-1132.993) * (-1126.954) (-1196.541) [-1121.224] (-1128.224) -- 0:06:22
253000 -- (-1185.591) (-1118.761) [-1123.274] (-1141.389) * (-1137.698) (-1204.251) (-1132.903) [-1126.891] -- 0:06:20
254000 -- (-1192.293) (-1149.214) [-1125.727] (-1134.279) * (-1152.389) (-1205.618) (-1143.342) [-1132.614] -- 0:06:21
255000 -- (-1176.490) (-1146.118) [-1121.402] (-1119.992) * (-1139.604) (-1202.056) [-1118.619] (-1138.570) -- 0:06:19
Average standard deviation of split frequencies: 0.015652
256000 -- (-1175.743) (-1133.957) [-1128.540] (-1134.811) * (-1139.617) (-1203.646) [-1135.680] (-1131.793) -- 0:06:20
257000 -- (-1185.916) [-1116.770] (-1131.958) (-1124.096) * (-1123.223) (-1199.395) (-1126.555) [-1120.249] -- 0:06:18
258000 -- (-1191.760) (-1121.462) (-1129.117) [-1125.460] * [-1131.464] (-1200.385) (-1136.523) (-1114.356) -- 0:06:19
259000 -- (-1194.138) [-1123.275] (-1125.179) (-1135.758) * [-1120.632] (-1210.125) (-1129.964) (-1130.885) -- 0:06:17
260000 -- (-1199.936) [-1124.351] (-1154.053) (-1126.846) * (-1122.577) (-1202.036) [-1126.967] (-1131.180) -- 0:06:18
Average standard deviation of split frequencies: 0.015225
261000 -- (-1189.791) (-1126.249) (-1128.239) [-1128.596] * (-1124.678) (-1199.641) (-1138.627) [-1126.661] -- 0:06:16
262000 -- (-1186.739) [-1122.332] (-1137.478) (-1131.019) * (-1130.615) (-1193.287) (-1145.530) [-1124.744] -- 0:06:17
263000 -- (-1190.389) [-1129.441] (-1133.717) (-1126.884) * (-1125.708) (-1208.152) [-1124.999] (-1137.937) -- 0:06:15
264000 -- (-1185.789) (-1143.305) (-1130.885) [-1118.973] * [-1127.388] (-1209.806) (-1129.438) (-1145.642) -- 0:06:16
265000 -- (-1184.270) [-1130.554] (-1137.625) (-1132.997) * [-1121.319] (-1215.735) (-1130.976) (-1128.791) -- 0:06:14
Average standard deviation of split frequencies: 0.015530
266000 -- (-1186.688) [-1132.957] (-1129.712) (-1125.876) * (-1134.508) (-1203.044) (-1122.895) [-1131.013] -- 0:06:15
267000 -- (-1185.381) (-1127.209) (-1128.401) [-1121.731] * (-1137.524) (-1190.996) [-1127.148] (-1139.433) -- 0:06:13
268000 -- (-1202.532) (-1134.144) [-1130.281] (-1140.331) * (-1134.911) (-1194.849) (-1130.847) [-1134.658] -- 0:06:14
269000 -- (-1183.315) (-1135.599) (-1129.456) [-1121.748] * [-1128.772] (-1193.059) (-1136.789) (-1122.365) -- 0:06:12
270000 -- (-1195.954) [-1123.133] (-1122.778) (-1136.301) * [-1122.457] (-1204.156) (-1140.229) (-1138.427) -- 0:06:13
Average standard deviation of split frequencies: 0.015317
271000 -- (-1178.257) (-1124.793) [-1126.997] (-1136.526) * [-1125.876] (-1212.087) (-1128.412) (-1130.913) -- 0:06:11
272000 -- (-1173.866) [-1116.031] (-1122.038) (-1146.279) * [-1125.595] (-1193.233) (-1123.755) (-1140.986) -- 0:06:12
273000 -- (-1191.685) (-1122.328) [-1129.953] (-1133.967) * [-1118.203] (-1198.729) (-1139.981) (-1141.830) -- 0:06:10
274000 -- (-1172.376) [-1123.777] (-1137.352) (-1138.119) * [-1116.786] (-1197.225) (-1131.838) (-1141.981) -- 0:06:10
275000 -- (-1180.839) [-1137.812] (-1134.618) (-1131.865) * [-1120.252] (-1204.979) (-1144.960) (-1136.264) -- 0:06:09
Average standard deviation of split frequencies: 0.013991
276000 -- (-1186.590) (-1146.519) (-1129.273) [-1130.432] * (-1135.109) (-1202.672) [-1130.157] (-1132.474) -- 0:06:09
277000 -- (-1189.820) (-1129.910) (-1131.077) [-1130.637] * (-1134.096) (-1191.219) (-1146.266) [-1120.820] -- 0:06:08
278000 -- (-1182.206) (-1122.095) (-1143.715) [-1141.135] * [-1131.929] (-1202.034) (-1143.411) (-1136.590) -- 0:06:08
279000 -- (-1171.106) [-1126.965] (-1148.258) (-1129.872) * [-1122.593] (-1179.977) (-1124.933) (-1126.654) -- 0:06:06
280000 -- (-1185.212) [-1117.038] (-1128.951) (-1144.425) * [-1119.797] (-1215.486) (-1140.538) (-1128.339) -- 0:06:07
Average standard deviation of split frequencies: 0.014037
281000 -- (-1181.929) (-1125.995) [-1127.545] (-1143.608) * (-1119.079) (-1207.436) (-1125.299) [-1122.125] -- 0:06:05
282000 -- (-1187.034) (-1116.251) (-1123.490) [-1139.125] * (-1129.739) (-1200.320) [-1121.769] (-1122.893) -- 0:06:06
283000 -- (-1192.420) (-1129.023) [-1137.875] (-1136.106) * (-1141.440) (-1200.531) (-1115.617) [-1118.473] -- 0:06:07
284000 -- (-1182.845) (-1128.038) [-1133.178] (-1143.159) * (-1145.072) (-1198.142) (-1139.709) [-1126.432] -- 0:06:05
285000 -- (-1186.377) (-1136.247) [-1136.895] (-1134.308) * (-1134.929) (-1195.702) [-1124.252] (-1138.275) -- 0:06:06
Average standard deviation of split frequencies: 0.013886
286000 -- (-1190.391) (-1133.118) [-1114.643] (-1127.211) * (-1124.798) (-1202.736) [-1128.455] (-1123.345) -- 0:06:04
287000 -- (-1191.079) (-1130.092) (-1121.385) [-1127.703] * (-1149.012) (-1210.800) [-1125.421] (-1134.872) -- 0:06:05
288000 -- (-1189.465) (-1147.513) [-1124.636] (-1134.793) * (-1136.907) (-1196.180) [-1127.884] (-1133.806) -- 0:06:03
289000 -- (-1191.429) (-1150.377) (-1126.348) [-1128.146] * [-1127.300] (-1195.366) (-1126.848) (-1138.097) -- 0:06:04
290000 -- (-1179.778) (-1129.630) (-1131.913) [-1121.302] * [-1129.378] (-1213.349) (-1126.740) (-1130.046) -- 0:06:02
Average standard deviation of split frequencies: 0.013966
291000 -- (-1200.827) (-1139.699) (-1139.429) [-1124.804] * [-1122.916] (-1188.413) (-1137.801) (-1142.443) -- 0:06:03
292000 -- (-1192.136) (-1141.079) [-1127.690] (-1125.066) * [-1123.387] (-1207.615) (-1130.286) (-1146.246) -- 0:06:01
293000 -- (-1180.556) (-1149.525) [-1122.501] (-1121.372) * [-1123.457] (-1210.938) (-1125.075) (-1138.382) -- 0:06:01
294000 -- (-1187.253) (-1139.713) [-1120.529] (-1125.577) * [-1131.719] (-1206.756) (-1131.468) (-1143.018) -- 0:06:00
295000 -- (-1197.957) [-1131.008] (-1129.369) (-1123.915) * [-1122.249] (-1197.279) (-1122.956) (-1143.637) -- 0:06:00
Average standard deviation of split frequencies: 0.014289
296000 -- (-1193.140) (-1132.033) [-1128.211] (-1129.465) * (-1124.740) (-1204.341) [-1128.836] (-1144.760) -- 0:05:59
297000 -- (-1180.753) (-1131.547) [-1115.678] (-1130.575) * (-1134.708) (-1210.634) (-1137.435) [-1125.464] -- 0:05:59
298000 -- (-1187.009) (-1126.139) [-1121.925] (-1132.890) * (-1126.996) (-1216.128) [-1121.082] (-1131.949) -- 0:05:58
299000 -- (-1178.399) [-1121.299] (-1134.115) (-1137.060) * [-1124.121] (-1196.812) (-1131.943) (-1148.508) -- 0:05:58
300000 -- (-1180.892) (-1128.014) (-1129.187) [-1119.010] * (-1126.577) (-1197.701) [-1125.588] (-1127.256) -- 0:05:57
Average standard deviation of split frequencies: 0.013713
301000 -- (-1187.036) (-1132.308) (-1143.302) [-1118.239] * (-1122.024) (-1207.735) [-1116.987] (-1129.156) -- 0:05:57
302000 -- (-1188.114) [-1123.036] (-1131.886) (-1127.473) * (-1125.587) (-1205.717) (-1138.138) [-1134.294] -- 0:05:55
303000 -- (-1199.963) (-1129.729) [-1122.387] (-1130.151) * (-1133.189) (-1195.527) [-1121.735] (-1134.808) -- 0:05:56
304000 -- (-1179.526) (-1129.947) (-1132.236) [-1144.923] * (-1123.243) (-1199.421) [-1123.934] (-1125.416) -- 0:05:54
305000 -- (-1187.516) (-1128.120) (-1130.010) [-1122.794] * (-1139.223) (-1217.591) [-1123.353] (-1131.727) -- 0:05:55
Average standard deviation of split frequencies: 0.013865
306000 -- (-1195.620) [-1117.412] (-1122.086) (-1126.032) * [-1123.207] (-1198.409) (-1115.935) (-1135.699) -- 0:05:53
307000 -- (-1182.115) [-1121.378] (-1136.677) (-1127.400) * [-1129.780] (-1191.832) (-1123.311) (-1132.222) -- 0:05:54
308000 -- (-1184.786) [-1127.730] (-1123.820) (-1141.555) * [-1114.762] (-1208.056) (-1156.591) (-1131.755) -- 0:05:52
309000 -- (-1181.781) [-1127.978] (-1131.228) (-1129.649) * [-1122.789] (-1223.022) (-1145.672) (-1139.939) -- 0:05:53
310000 -- (-1181.276) [-1119.699] (-1132.865) (-1135.269) * [-1122.753] (-1210.896) (-1148.324) (-1124.810) -- 0:05:51
Average standard deviation of split frequencies: 0.013357
311000 -- (-1189.252) [-1117.452] (-1139.321) (-1130.182) * [-1119.432] (-1202.916) (-1150.354) (-1121.369) -- 0:05:52
312000 -- (-1177.508) [-1125.899] (-1136.329) (-1132.310) * [-1137.813] (-1203.293) (-1150.131) (-1135.976) -- 0:05:50
313000 -- (-1192.379) (-1137.739) (-1150.620) [-1127.306] * (-1134.847) (-1208.142) [-1125.738] (-1141.582) -- 0:05:51
314000 -- (-1182.569) [-1122.949] (-1139.452) (-1133.815) * (-1155.386) (-1189.016) (-1135.772) [-1133.733] -- 0:05:49
315000 -- (-1178.096) [-1123.399] (-1127.680) (-1134.517) * (-1134.802) (-1188.115) [-1124.058] (-1124.781) -- 0:05:50
Average standard deviation of split frequencies: 0.012787
316000 -- (-1183.762) (-1122.144) [-1124.029] (-1128.443) * [-1135.627] (-1199.494) (-1125.562) (-1135.499) -- 0:05:48
317000 -- (-1189.900) (-1126.762) [-1126.243] (-1127.122) * [-1132.778] (-1194.526) (-1125.669) (-1139.783) -- 0:05:49
318000 -- (-1175.792) (-1130.384) [-1122.727] (-1126.989) * [-1123.095] (-1192.146) (-1129.130) (-1129.227) -- 0:05:49
319000 -- (-1190.146) (-1134.821) (-1131.903) [-1132.598] * (-1133.419) (-1197.717) [-1137.829] (-1120.262) -- 0:05:47
320000 -- (-1179.674) (-1139.138) (-1145.250) [-1121.695] * (-1116.960) (-1200.485) (-1134.511) [-1120.963] -- 0:05:48
Average standard deviation of split frequencies: 0.012340
321000 -- (-1191.268) (-1128.413) [-1122.848] (-1130.135) * [-1125.272] (-1202.292) (-1139.970) (-1140.315) -- 0:05:46
322000 -- (-1187.316) (-1127.250) (-1127.495) [-1121.388] * (-1118.763) (-1206.725) [-1139.942] (-1129.810) -- 0:05:47
323000 -- (-1200.790) (-1128.033) [-1122.528] (-1126.661) * (-1120.551) (-1199.092) (-1118.789) [-1119.170] -- 0:05:45
324000 -- (-1204.146) [-1137.532] (-1135.944) (-1134.265) * (-1129.811) (-1204.041) (-1128.853) [-1125.712] -- 0:05:46
325000 -- (-1200.992) [-1135.682] (-1133.559) (-1131.163) * [-1124.711] (-1191.979) (-1133.649) (-1130.430) -- 0:05:44
Average standard deviation of split frequencies: 0.011711
326000 -- (-1175.450) (-1140.581) [-1134.951] (-1130.445) * (-1143.675) (-1199.606) [-1124.021] (-1134.260) -- 0:05:45
327000 -- (-1190.959) (-1148.642) [-1121.160] (-1142.320) * (-1122.385) (-1198.153) (-1127.052) [-1120.935] -- 0:05:43
328000 -- (-1190.614) (-1126.157) (-1122.996) [-1128.599] * [-1129.311] (-1198.600) (-1118.672) (-1143.710) -- 0:05:44
329000 -- (-1181.556) (-1127.189) (-1124.982) [-1127.627] * (-1133.813) (-1205.203) [-1123.287] (-1131.111) -- 0:05:42
330000 -- (-1172.652) (-1123.588) (-1125.283) [-1129.419] * [-1116.785] (-1189.585) (-1133.183) (-1132.347) -- 0:05:43
Average standard deviation of split frequencies: 0.011591
331000 -- (-1173.097) (-1135.906) [-1128.303] (-1125.716) * (-1135.811) (-1200.778) [-1115.210] (-1124.496) -- 0:05:41
332000 -- (-1177.798) [-1130.939] (-1133.478) (-1132.775) * (-1131.280) (-1199.633) (-1125.046) [-1120.361] -- 0:05:42
333000 -- (-1192.057) [-1127.352] (-1130.220) (-1127.001) * [-1133.988] (-1194.211) (-1127.706) (-1129.529) -- 0:05:40
334000 -- (-1192.440) (-1116.130) (-1128.505) [-1117.571] * [-1126.033] (-1194.555) (-1128.255) (-1126.688) -- 0:05:40
335000 -- (-1196.008) [-1120.439] (-1129.476) (-1141.545) * (-1128.271) (-1196.824) (-1121.023) [-1126.232] -- 0:05:39
Average standard deviation of split frequencies: 0.011224
336000 -- (-1200.123) (-1131.489) [-1124.554] (-1126.273) * (-1137.114) (-1200.223) (-1123.753) [-1128.687] -- 0:05:39
337000 -- (-1180.697) [-1133.650] (-1128.106) (-1127.810) * (-1136.860) (-1196.677) [-1126.467] (-1142.054) -- 0:05:38
338000 -- (-1178.838) [-1114.662] (-1127.950) (-1121.144) * (-1129.895) (-1201.502) (-1134.719) [-1139.485] -- 0:05:38
339000 -- (-1196.312) (-1120.407) [-1124.076] (-1133.318) * (-1136.595) (-1211.759) [-1120.578] (-1145.259) -- 0:05:37
340000 -- (-1187.313) [-1110.727] (-1130.587) (-1127.575) * (-1126.284) (-1221.945) [-1123.483] (-1133.393) -- 0:05:37
Average standard deviation of split frequencies: 0.011861
341000 -- (-1177.607) [-1132.081] (-1124.787) (-1130.275) * [-1127.673] (-1200.175) (-1131.272) (-1136.772) -- 0:05:36
342000 -- (-1194.619) (-1130.910) (-1119.688) [-1127.476] * (-1135.738) (-1202.167) (-1124.959) [-1127.930] -- 0:05:36
343000 -- (-1194.183) [-1123.825] (-1127.885) (-1134.320) * [-1121.379] (-1204.031) (-1126.843) (-1123.349) -- 0:05:35
344000 -- (-1192.344) [-1132.907] (-1131.904) (-1138.875) * (-1136.657) (-1206.025) [-1118.590] (-1132.714) -- 0:05:35
345000 -- (-1184.225) (-1128.729) [-1120.532] (-1139.085) * (-1133.312) (-1207.230) (-1130.137) [-1134.801] -- 0:05:34
Average standard deviation of split frequencies: 0.011710
346000 -- (-1179.878) (-1127.033) (-1150.527) [-1119.333] * (-1138.237) (-1203.521) (-1133.388) [-1133.095] -- 0:05:34
347000 -- (-1179.288) (-1135.477) (-1143.478) [-1127.030] * [-1134.215] (-1200.329) (-1131.066) (-1128.552) -- 0:05:33
348000 -- (-1189.934) [-1144.537] (-1139.992) (-1127.828) * [-1128.001] (-1198.456) (-1136.209) (-1122.694) -- 0:05:33
349000 -- (-1174.832) [-1131.893] (-1144.316) (-1124.029) * (-1131.219) (-1212.469) [-1122.733] (-1125.795) -- 0:05:32
350000 -- (-1182.126) [-1122.362] (-1126.979) (-1125.540) * (-1134.737) (-1193.203) [-1118.743] (-1118.915) -- 0:05:32
Average standard deviation of split frequencies: 0.011687
351000 -- (-1182.827) (-1126.064) [-1138.380] (-1129.741) * (-1124.244) (-1200.160) (-1125.455) [-1124.236] -- 0:05:30
352000 -- (-1174.862) (-1126.442) (-1143.969) [-1128.095] * (-1140.953) (-1189.487) [-1124.723] (-1128.000) -- 0:05:31
353000 -- (-1195.036) [-1120.568] (-1124.054) (-1125.557) * (-1132.692) (-1197.775) [-1131.035] (-1131.145) -- 0:05:29
354000 -- (-1186.531) (-1123.736) [-1120.906] (-1126.616) * (-1120.425) (-1205.975) [-1115.714] (-1137.883) -- 0:05:30
355000 -- (-1190.020) [-1118.014] (-1133.793) (-1132.135) * (-1123.835) (-1212.894) (-1119.148) [-1128.683] -- 0:05:28
Average standard deviation of split frequencies: 0.011255
356000 -- (-1183.018) (-1128.192) (-1129.269) [-1129.989] * (-1132.416) (-1195.804) [-1128.967] (-1121.054) -- 0:05:29
357000 -- (-1169.565) (-1128.310) [-1120.980] (-1134.118) * [-1123.720] (-1190.230) (-1122.445) (-1135.343) -- 0:05:27
358000 -- (-1187.603) [-1125.902] (-1133.184) (-1140.372) * [-1116.546] (-1197.538) (-1127.938) (-1138.909) -- 0:05:28
359000 -- (-1179.586) [-1129.363] (-1126.480) (-1132.115) * [-1116.055] (-1205.699) (-1119.299) (-1127.118) -- 0:05:26
360000 -- (-1179.069) (-1125.637) (-1138.986) [-1133.134] * (-1129.923) (-1217.812) [-1126.955] (-1132.092) -- 0:05:27
Average standard deviation of split frequencies: 0.010904
361000 -- (-1172.544) (-1135.229) (-1141.940) [-1122.830] * (-1136.668) (-1211.509) [-1114.340] (-1126.617) -- 0:05:25
362000 -- (-1186.583) [-1129.771] (-1125.414) (-1145.858) * [-1136.841] (-1201.628) (-1123.858) (-1150.092) -- 0:05:26
363000 -- (-1179.912) [-1127.371] (-1132.007) (-1130.887) * (-1143.750) (-1201.242) [-1119.587] (-1128.688) -- 0:05:24
364000 -- (-1193.292) [-1130.982] (-1125.745) (-1124.574) * [-1120.726] (-1204.952) (-1135.180) (-1143.273) -- 0:05:24
365000 -- (-1199.041) (-1127.805) [-1124.920] (-1129.174) * [-1120.533] (-1196.708) (-1131.634) (-1136.943) -- 0:05:23
Average standard deviation of split frequencies: 0.010478
366000 -- (-1201.449) (-1132.058) [-1132.068] (-1145.215) * (-1137.170) (-1205.379) (-1141.894) [-1132.347] -- 0:05:23
367000 -- (-1197.802) (-1127.762) [-1128.279] (-1133.205) * (-1126.894) (-1213.983) (-1130.861) [-1121.735] -- 0:05:22
368000 -- (-1180.189) (-1137.458) [-1125.497] (-1132.870) * (-1129.469) (-1210.744) [-1142.484] (-1133.351) -- 0:05:22
369000 -- (-1189.571) (-1135.655) (-1125.436) [-1119.370] * (-1131.474) (-1206.855) [-1136.814] (-1141.303) -- 0:05:21
370000 -- (-1185.291) (-1133.027) [-1130.793] (-1135.514) * (-1126.941) (-1216.546) (-1134.946) [-1118.768] -- 0:05:21
Average standard deviation of split frequencies: 0.010845
371000 -- (-1192.996) (-1134.547) [-1117.737] (-1128.779) * (-1132.096) (-1211.476) (-1126.305) [-1118.061] -- 0:05:20
372000 -- (-1177.403) (-1133.498) [-1131.255] (-1145.340) * (-1123.998) (-1213.316) [-1122.566] (-1131.700) -- 0:05:20
373000 -- (-1181.227) (-1144.663) [-1127.493] (-1144.679) * (-1130.330) (-1199.456) [-1129.976] (-1132.258) -- 0:05:19
374000 -- (-1176.691) (-1131.377) (-1137.060) [-1126.070] * [-1124.493] (-1190.993) (-1148.304) (-1129.592) -- 0:05:19
375000 -- (-1173.690) (-1122.851) [-1120.327] (-1140.199) * [-1123.109] (-1199.565) (-1142.842) (-1140.928) -- 0:05:18
Average standard deviation of split frequencies: 0.010631
376000 -- (-1179.192) [-1127.554] (-1130.650) (-1146.413) * [-1122.328] (-1196.931) (-1128.328) (-1130.838) -- 0:05:18
377000 -- (-1172.494) (-1119.699) [-1119.498] (-1125.187) * [-1117.583] (-1196.290) (-1131.446) (-1140.034) -- 0:05:17
378000 -- (-1183.959) (-1137.065) (-1119.020) [-1121.951] * (-1137.040) (-1206.079) (-1135.644) [-1119.928] -- 0:05:17
379000 -- (-1186.721) (-1132.577) [-1114.766] (-1130.711) * (-1129.746) (-1199.525) [-1124.162] (-1130.981) -- 0:05:16
380000 -- (-1185.662) (-1127.575) [-1124.170] (-1130.588) * (-1123.074) (-1194.812) [-1118.347] (-1135.381) -- 0:05:16
Average standard deviation of split frequencies: 0.010217
381000 -- (-1192.210) (-1133.018) (-1126.714) [-1120.797] * (-1137.937) (-1187.961) (-1135.178) [-1123.222] -- 0:05:15
382000 -- (-1183.300) (-1126.604) [-1129.267] (-1133.165) * (-1130.492) (-1196.551) [-1120.563] (-1131.449) -- 0:05:15
383000 -- (-1184.596) (-1124.625) (-1140.820) [-1114.017] * (-1131.428) (-1194.736) [-1123.573] (-1135.509) -- 0:05:14
384000 -- (-1190.248) (-1120.040) (-1142.108) [-1129.922] * (-1127.804) (-1209.854) (-1132.378) [-1126.342] -- 0:05:14
385000 -- (-1186.895) (-1123.990) [-1135.754] (-1126.134) * (-1133.003) (-1216.484) (-1129.297) [-1124.633] -- 0:05:14
Average standard deviation of split frequencies: 0.010272
386000 -- (-1189.328) (-1127.348) [-1122.376] (-1125.965) * (-1139.749) (-1201.196) [-1125.093] (-1138.518) -- 0:05:13
387000 -- (-1183.501) [-1134.789] (-1139.100) (-1124.688) * (-1132.609) (-1213.561) [-1117.545] (-1125.324) -- 0:05:13
388000 -- (-1179.063) [-1119.141] (-1134.307) (-1135.180) * [-1118.224] (-1197.926) (-1122.706) (-1126.086) -- 0:05:12
389000 -- (-1190.034) [-1127.483] (-1126.163) (-1142.426) * (-1132.056) (-1203.935) (-1123.432) [-1127.392] -- 0:05:12
390000 -- (-1186.527) [-1130.134] (-1123.466) (-1145.951) * (-1141.625) (-1193.678) [-1121.386] (-1138.075) -- 0:05:11
Average standard deviation of split frequencies: 0.010554
391000 -- (-1175.084) [-1123.685] (-1124.601) (-1133.219) * (-1153.211) (-1193.990) (-1122.354) [-1117.918] -- 0:05:11
392000 -- (-1180.349) [-1121.199] (-1132.701) (-1143.487) * [-1139.780] (-1195.920) (-1130.200) (-1132.022) -- 0:05:10
393000 -- (-1199.272) (-1132.084) [-1114.840] (-1132.087) * [-1123.345] (-1198.739) (-1124.356) (-1135.434) -- 0:05:10
394000 -- (-1182.530) (-1135.463) [-1135.902] (-1139.990) * [-1118.195] (-1208.986) (-1131.670) (-1121.461) -- 0:05:09
395000 -- (-1180.951) (-1144.896) (-1129.206) [-1133.388] * (-1122.203) (-1194.317) [-1127.105] (-1133.316) -- 0:05:09
Average standard deviation of split frequencies: 0.009920
396000 -- (-1188.987) [-1127.470] (-1123.247) (-1130.516) * [-1126.319] (-1203.011) (-1132.342) (-1137.712) -- 0:05:08
397000 -- (-1189.797) (-1118.976) (-1132.417) [-1123.374] * (-1146.609) (-1197.348) [-1129.237] (-1131.930) -- 0:05:08
398000 -- (-1184.001) [-1127.051] (-1135.471) (-1130.242) * (-1122.212) (-1188.198) (-1129.189) [-1124.920] -- 0:05:07
399000 -- (-1175.905) [-1124.156] (-1134.614) (-1144.580) * (-1127.934) (-1203.217) [-1125.208] (-1127.524) -- 0:05:07
400000 -- (-1187.353) [-1117.255] (-1142.406) (-1138.474) * (-1125.457) (-1204.838) (-1148.546) [-1123.463] -- 0:05:06
Average standard deviation of split frequencies: 0.009866
401000 -- (-1186.193) (-1125.655) (-1133.675) [-1124.085] * (-1116.011) (-1209.244) [-1127.010] (-1157.124) -- 0:05:06
402000 -- (-1189.428) (-1139.693) (-1139.680) [-1119.562] * (-1114.577) (-1193.166) [-1128.266] (-1136.514) -- 0:05:04
403000 -- (-1191.728) [-1129.460] (-1133.604) (-1119.015) * (-1123.901) (-1219.637) [-1128.557] (-1133.040) -- 0:05:05
404000 -- (-1183.052) [-1126.009] (-1129.331) (-1135.885) * [-1124.763] (-1215.078) (-1124.022) (-1160.575) -- 0:05:03
405000 -- (-1185.159) (-1125.241) (-1124.735) [-1129.213] * (-1131.507) (-1209.383) [-1117.298] (-1143.602) -- 0:05:04
Average standard deviation of split frequencies: 0.009712
406000 -- (-1184.082) (-1147.483) (-1131.219) [-1122.487] * (-1124.830) (-1216.013) [-1124.193] (-1146.009) -- 0:05:02
407000 -- (-1181.152) (-1137.392) [-1123.225] (-1125.982) * (-1134.028) (-1199.917) [-1122.061] (-1141.838) -- 0:05:03
408000 -- (-1183.665) (-1138.462) [-1129.177] (-1131.406) * (-1123.638) (-1200.419) [-1128.492] (-1144.633) -- 0:05:01
409000 -- (-1184.258) (-1129.074) (-1119.142) [-1124.340] * (-1136.688) (-1200.497) (-1131.395) [-1128.725] -- 0:05:02
410000 -- (-1181.670) (-1130.662) (-1121.327) [-1125.315] * (-1147.752) (-1206.785) (-1128.233) [-1124.648] -- 0:05:00
Average standard deviation of split frequencies: 0.009872
411000 -- (-1195.512) (-1130.253) (-1116.860) [-1122.798] * (-1141.895) (-1201.423) [-1124.944] (-1127.709) -- 0:05:00
412000 -- (-1182.590) (-1143.759) (-1120.750) [-1122.747] * [-1117.454] (-1199.843) (-1135.679) (-1129.140) -- 0:04:59
413000 -- (-1188.294) (-1142.738) (-1118.905) [-1127.887] * (-1118.442) (-1193.716) [-1123.016] (-1130.494) -- 0:04:59
414000 -- (-1179.186) (-1119.050) (-1129.377) [-1131.487] * (-1143.421) (-1208.566) [-1122.141] (-1130.422) -- 0:04:58
415000 -- (-1178.168) (-1134.446) (-1121.993) [-1123.071] * [-1118.654] (-1211.773) (-1139.122) (-1123.861) -- 0:04:58
Average standard deviation of split frequencies: 0.009717
416000 -- (-1182.263) (-1134.699) [-1124.908] (-1127.019) * (-1128.379) (-1201.029) (-1137.500) [-1129.842] -- 0:04:57
417000 -- (-1183.113) (-1117.658) (-1126.973) [-1123.519] * (-1131.944) (-1202.011) (-1129.949) [-1124.144] -- 0:04:57
418000 -- (-1197.089) (-1132.407) [-1124.656] (-1130.106) * (-1128.945) (-1199.772) [-1130.131] (-1133.546) -- 0:04:56
419000 -- (-1192.057) (-1130.840) [-1114.730] (-1147.220) * [-1120.547] (-1205.734) (-1123.457) (-1156.841) -- 0:04:56
420000 -- (-1198.212) [-1128.372] (-1127.038) (-1133.010) * (-1135.607) (-1206.154) (-1124.023) [-1131.712] -- 0:04:55
Average standard deviation of split frequencies: 0.009765
421000 -- (-1190.621) (-1134.677) (-1129.225) [-1134.017] * (-1150.048) (-1217.533) (-1132.297) [-1135.794] -- 0:04:55
422000 -- (-1184.847) (-1121.130) [-1117.724] (-1128.855) * (-1127.711) (-1183.860) [-1123.064] (-1130.562) -- 0:04:55
423000 -- (-1181.942) [-1126.380] (-1132.812) (-1138.461) * [-1128.206] (-1204.528) (-1142.544) (-1145.361) -- 0:04:54
424000 -- (-1175.642) (-1142.686) [-1125.917] (-1127.863) * [-1134.760] (-1191.953) (-1135.538) (-1138.400) -- 0:04:54
425000 -- (-1182.914) (-1136.328) (-1126.619) [-1117.866] * (-1133.489) (-1194.888) (-1143.891) [-1129.811] -- 0:04:53
Average standard deviation of split frequencies: 0.009929
426000 -- (-1177.775) (-1129.009) (-1120.848) [-1121.717] * (-1128.366) (-1200.799) (-1125.402) [-1128.688] -- 0:04:53
427000 -- (-1186.677) (-1129.691) (-1131.792) [-1120.738] * [-1126.769] (-1191.355) (-1135.539) (-1145.715) -- 0:04:52
428000 -- (-1187.961) (-1133.715) (-1139.585) [-1124.653] * (-1125.222) (-1215.963) (-1140.792) [-1120.729] -- 0:04:52
429000 -- (-1178.289) [-1132.185] (-1128.663) (-1131.492) * [-1133.981] (-1198.743) (-1133.027) (-1128.450) -- 0:04:51
430000 -- (-1184.864) (-1142.217) (-1120.381) [-1130.002] * (-1143.212) (-1197.194) (-1132.242) [-1127.088] -- 0:04:51
Average standard deviation of split frequencies: 0.009983
431000 -- (-1192.971) (-1144.256) (-1130.246) [-1126.832] * (-1138.524) (-1194.095) [-1126.410] (-1126.042) -- 0:04:50
432000 -- (-1181.063) (-1138.259) [-1127.633] (-1127.158) * (-1134.241) (-1197.023) (-1127.680) [-1128.490] -- 0:04:50
433000 -- (-1184.897) (-1138.028) [-1129.736] (-1147.468) * (-1127.111) (-1206.829) [-1124.022] (-1123.776) -- 0:04:49
434000 -- (-1205.734) (-1127.200) [-1128.151] (-1132.523) * (-1127.675) (-1205.411) [-1127.429] (-1134.852) -- 0:04:49
435000 -- (-1189.930) (-1122.579) [-1136.448] (-1129.510) * (-1130.509) (-1192.300) [-1121.198] (-1130.259) -- 0:04:48
Average standard deviation of split frequencies: 0.009731
436000 -- (-1188.750) (-1140.316) (-1143.028) [-1129.554] * (-1141.734) (-1211.002) (-1118.952) [-1132.747] -- 0:04:48
437000 -- (-1175.111) (-1130.425) (-1137.409) [-1132.363] * (-1127.655) (-1196.208) [-1123.389] (-1127.591) -- 0:04:47
438000 -- (-1182.009) (-1125.399) (-1116.816) [-1133.686] * [-1124.644] (-1213.539) (-1142.509) (-1128.125) -- 0:04:47
439000 -- (-1185.980) (-1128.257) (-1127.853) [-1135.958] * (-1130.924) (-1197.961) (-1134.469) [-1131.234] -- 0:04:46
440000 -- (-1179.206) [-1125.192] (-1125.248) (-1143.366) * (-1129.085) (-1196.894) (-1138.112) [-1123.510] -- 0:04:46
Average standard deviation of split frequencies: 0.009989
441000 -- (-1193.772) (-1129.487) (-1130.523) [-1134.040] * [-1123.235] (-1197.372) (-1127.356) (-1133.018) -- 0:04:45
442000 -- (-1183.258) (-1125.994) (-1134.896) [-1122.649] * (-1133.397) (-1204.468) (-1121.717) [-1134.387] -- 0:04:45
443000 -- (-1173.609) [-1123.085] (-1136.843) (-1130.412) * [-1126.311] (-1197.477) (-1141.167) (-1128.913) -- 0:04:44
444000 -- (-1193.191) (-1127.541) (-1132.076) [-1119.920] * [-1125.088] (-1192.617) (-1133.209) (-1136.732) -- 0:04:44
445000 -- (-1191.809) (-1130.887) [-1126.274] (-1131.619) * (-1130.338) (-1202.332) [-1133.536] (-1133.478) -- 0:04:43
Average standard deviation of split frequencies: 0.010419
446000 -- (-1201.880) (-1149.967) (-1132.231) [-1124.089] * [-1123.335] (-1199.231) (-1143.513) (-1127.260) -- 0:04:43
447000 -- (-1171.236) (-1136.842) (-1132.154) [-1121.983] * [-1124.036] (-1198.182) (-1132.483) (-1123.361) -- 0:04:42
448000 -- (-1198.210) (-1133.981) [-1124.222] (-1130.291) * [-1125.616] (-1200.194) (-1141.932) (-1117.694) -- 0:04:42
449000 -- (-1189.991) (-1134.860) (-1136.531) [-1134.748] * (-1120.978) (-1193.952) [-1121.611] (-1128.645) -- 0:04:41
450000 -- (-1183.808) (-1134.583) [-1127.032] (-1139.351) * [-1127.627] (-1200.500) (-1123.386) (-1129.206) -- 0:04:41
Average standard deviation of split frequencies: 0.010415
451000 -- (-1179.362) [-1122.639] (-1119.539) (-1130.359) * (-1127.429) (-1218.806) [-1130.024] (-1137.963) -- 0:04:39
452000 -- (-1199.251) (-1126.917) (-1139.683) [-1136.400] * [-1125.218] (-1218.978) (-1132.980) (-1136.403) -- 0:04:40
453000 -- (-1186.671) [-1116.749] (-1137.615) (-1129.452) * [-1123.291] (-1202.224) (-1131.278) (-1142.691) -- 0:04:38
454000 -- (-1175.156) [-1119.123] (-1128.602) (-1132.591) * [-1126.866] (-1193.230) (-1139.466) (-1129.998) -- 0:04:39
455000 -- (-1188.815) (-1132.189) (-1124.791) [-1123.882] * (-1132.705) (-1217.590) (-1124.136) [-1120.707] -- 0:04:39
Average standard deviation of split frequencies: 0.009969
456000 -- (-1184.973) (-1125.777) (-1121.167) [-1122.763] * (-1129.979) (-1204.438) (-1135.180) [-1118.798] -- 0:04:37
457000 -- (-1193.432) [-1118.697] (-1122.073) (-1144.105) * (-1129.954) (-1222.148) [-1129.043] (-1115.254) -- 0:04:38
458000 -- (-1180.678) [-1129.183] (-1131.486) (-1129.792) * (-1141.016) (-1197.053) [-1124.799] (-1134.662) -- 0:04:36
459000 -- (-1189.059) [-1123.295] (-1137.965) (-1128.547) * (-1133.721) (-1209.821) (-1123.275) [-1132.402] -- 0:04:36
460000 -- (-1173.229) [-1127.884] (-1122.216) (-1141.550) * (-1137.546) (-1198.192) [-1132.395] (-1129.404) -- 0:04:35
Average standard deviation of split frequencies: 0.009707
461000 -- (-1175.385) (-1133.719) [-1131.156] (-1147.688) * (-1123.351) (-1197.297) (-1135.943) [-1126.166] -- 0:04:35
462000 -- (-1192.554) (-1130.088) (-1134.360) [-1127.924] * [-1120.792] (-1207.357) (-1129.621) (-1136.168) -- 0:04:34
463000 -- (-1189.375) (-1126.876) (-1135.709) [-1126.054] * [-1121.423] (-1212.590) (-1124.392) (-1129.586) -- 0:04:34
464000 -- (-1175.063) [-1128.012] (-1123.321) (-1128.801) * (-1118.681) (-1198.534) [-1124.887] (-1138.927) -- 0:04:33
465000 -- (-1186.861) [-1124.868] (-1132.025) (-1131.827) * [-1118.072] (-1200.000) (-1130.605) (-1135.941) -- 0:04:33
Average standard deviation of split frequencies: 0.009760
466000 -- (-1184.525) (-1125.639) [-1129.678] (-1129.297) * (-1130.609) (-1197.712) [-1126.194] (-1131.504) -- 0:04:32
467000 -- (-1187.677) [-1124.236] (-1133.934) (-1127.262) * (-1129.266) (-1197.648) (-1130.524) [-1127.577] -- 0:04:32
468000 -- (-1175.564) [-1125.013] (-1125.175) (-1124.651) * (-1127.685) (-1194.942) (-1135.082) [-1125.158] -- 0:04:31
469000 -- (-1180.553) [-1130.675] (-1128.488) (-1123.142) * (-1136.163) (-1194.263) (-1124.729) [-1125.295] -- 0:04:31
470000 -- (-1185.616) [-1119.869] (-1142.099) (-1129.628) * (-1128.871) (-1199.976) (-1128.405) [-1117.100] -- 0:04:30
Average standard deviation of split frequencies: 0.009586
471000 -- (-1174.737) [-1120.499] (-1148.194) (-1147.134) * (-1135.993) (-1192.678) (-1124.028) [-1124.925] -- 0:04:30
472000 -- (-1201.582) (-1123.892) (-1146.881) [-1133.439] * [-1140.370] (-1197.623) (-1128.650) (-1131.074) -- 0:04:29
473000 -- (-1179.921) (-1137.029) [-1133.109] (-1153.646) * (-1147.482) (-1196.698) (-1124.018) [-1121.197] -- 0:04:29
474000 -- (-1186.733) [-1128.632] (-1136.916) (-1126.846) * (-1127.839) (-1196.952) (-1130.236) [-1121.411] -- 0:04:28
475000 -- (-1191.729) [-1117.223] (-1133.031) (-1131.418) * (-1124.124) (-1199.435) (-1135.285) [-1127.091] -- 0:04:28
Average standard deviation of split frequencies: 0.009876
476000 -- (-1180.198) (-1124.802) [-1116.879] (-1135.947) * (-1137.535) (-1213.483) (-1132.908) [-1118.958] -- 0:04:27
477000 -- (-1192.394) (-1137.090) (-1127.412) [-1120.216] * (-1128.347) (-1196.788) [-1113.294] (-1129.226) -- 0:04:27
478000 -- (-1193.502) (-1127.958) [-1130.019] (-1119.899) * (-1124.971) (-1202.278) [-1123.260] (-1146.811) -- 0:04:26
479000 -- (-1178.384) [-1125.922] (-1125.918) (-1120.248) * (-1140.859) (-1204.078) (-1122.469) [-1131.846] -- 0:04:26
480000 -- (-1195.095) (-1141.927) (-1138.553) [-1133.078] * [-1121.770] (-1198.117) (-1119.407) (-1130.283) -- 0:04:25
Average standard deviation of split frequencies: 0.009978
481000 -- (-1197.926) [-1117.530] (-1128.030) (-1137.483) * (-1129.979) (-1195.674) [-1118.534] (-1123.988) -- 0:04:25
482000 -- (-1183.689) [-1118.428] (-1131.634) (-1133.701) * (-1128.877) (-1191.735) (-1130.378) [-1118.151] -- 0:04:24
483000 -- (-1189.050) (-1139.207) [-1119.104] (-1145.792) * [-1123.483] (-1202.857) (-1138.673) (-1130.618) -- 0:04:24
484000 -- (-1193.423) (-1143.491) [-1121.593] (-1129.858) * (-1135.229) (-1204.059) (-1131.614) [-1120.176] -- 0:04:23
485000 -- (-1182.519) (-1125.604) [-1134.595] (-1126.076) * [-1124.300] (-1198.052) (-1119.899) (-1127.422) -- 0:04:23
Average standard deviation of split frequencies: 0.009484
486000 -- (-1189.119) (-1129.613) [-1129.613] (-1128.944) * (-1129.385) (-1202.592) (-1118.184) [-1126.555] -- 0:04:22
487000 -- (-1171.668) (-1153.406) [-1124.469] (-1136.289) * (-1133.551) (-1204.046) [-1119.472] (-1133.258) -- 0:04:22
488000 -- (-1178.141) (-1133.069) [-1124.987] (-1121.859) * (-1132.814) (-1201.385) [-1117.561] (-1141.139) -- 0:04:21
489000 -- (-1179.298) (-1132.804) (-1118.708) [-1127.695] * (-1148.976) (-1194.018) [-1134.301] (-1149.761) -- 0:04:21
490000 -- (-1183.330) (-1135.360) (-1133.577) [-1122.789] * (-1134.029) (-1196.000) [-1122.524] (-1132.933) -- 0:04:20
Average standard deviation of split frequencies: 0.009689
491000 -- (-1193.577) (-1134.612) (-1138.563) [-1121.878] * (-1125.560) (-1216.635) (-1130.017) [-1121.917] -- 0:04:20
492000 -- (-1195.231) (-1135.219) (-1144.145) [-1127.813] * (-1129.105) (-1211.135) [-1131.533] (-1134.120) -- 0:04:19
493000 -- (-1177.289) (-1135.350) [-1121.052] (-1135.392) * (-1134.294) (-1200.350) [-1121.670] (-1127.430) -- 0:04:19
494000 -- (-1180.218) (-1131.320) (-1133.227) [-1119.322] * (-1129.861) (-1206.248) (-1128.552) [-1132.314] -- 0:04:18
495000 -- (-1182.259) [-1126.680] (-1141.301) (-1125.518) * (-1126.288) (-1187.940) (-1127.653) [-1122.893] -- 0:04:18
Average standard deviation of split frequencies: 0.009889
496000 -- (-1194.568) (-1124.143) [-1121.981] (-1124.010) * (-1138.177) (-1193.223) [-1127.209] (-1125.736) -- 0:04:17
497000 -- (-1181.448) (-1126.461) (-1128.347) [-1131.845] * (-1135.083) (-1207.898) (-1128.368) [-1119.219] -- 0:04:17
498000 -- (-1186.703) (-1131.281) (-1130.195) [-1128.273] * (-1123.115) (-1206.889) [-1120.991] (-1131.223) -- 0:04:16
499000 -- (-1185.585) (-1124.257) (-1144.209) [-1121.608] * (-1133.018) (-1203.343) (-1136.279) [-1116.532] -- 0:04:16
500000 -- (-1178.800) [-1125.926] (-1132.988) (-1126.759) * [-1123.585] (-1200.796) (-1131.909) (-1136.764) -- 0:04:15
Average standard deviation of split frequencies: 0.009827
501000 -- (-1186.416) (-1115.272) (-1125.746) [-1119.032] * (-1145.945) (-1212.321) (-1115.420) [-1126.615] -- 0:04:14
502000 -- (-1185.392) [-1128.847] (-1150.922) (-1136.880) * (-1143.370) (-1197.649) [-1124.737] (-1139.162) -- 0:04:13
503000 -- (-1188.362) [-1129.495] (-1140.195) (-1126.046) * [-1132.364] (-1197.160) (-1137.511) (-1130.506) -- 0:04:13
504000 -- (-1188.944) [-1130.729] (-1151.079) (-1127.696) * (-1134.760) (-1196.117) [-1122.033] (-1150.322) -- 0:04:12
505000 -- (-1184.538) (-1122.809) (-1136.197) [-1127.646] * (-1128.092) (-1193.765) [-1120.533] (-1130.639) -- 0:04:12
Average standard deviation of split frequencies: 0.009699
506000 -- (-1173.386) (-1123.990) [-1119.814] (-1144.870) * (-1133.668) (-1211.827) [-1126.891] (-1128.707) -- 0:04:11
507000 -- (-1189.056) (-1135.572) [-1125.360] (-1129.380) * (-1138.985) (-1194.096) (-1122.333) [-1126.274] -- 0:04:11
508000 -- (-1179.424) (-1129.023) [-1128.050] (-1126.854) * [-1125.884] (-1191.642) (-1137.271) (-1129.214) -- 0:04:10
509000 -- (-1184.632) (-1136.657) [-1124.619] (-1127.168) * (-1124.318) (-1201.081) [-1124.354] (-1126.940) -- 0:04:10
510000 -- (-1177.618) (-1132.287) [-1121.831] (-1130.006) * [-1120.942] (-1202.381) (-1133.994) (-1127.414) -- 0:04:09
Average standard deviation of split frequencies: 0.009825
511000 -- (-1183.242) [-1119.350] (-1134.941) (-1142.406) * (-1126.942) (-1199.609) (-1135.001) [-1128.576] -- 0:04:09
512000 -- (-1183.148) (-1127.214) [-1129.137] (-1148.038) * (-1134.618) (-1199.730) (-1131.968) [-1113.029] -- 0:04:08
513000 -- (-1198.302) (-1129.018) [-1116.611] (-1127.336) * (-1132.955) (-1193.395) [-1115.619] (-1128.565) -- 0:04:08
514000 -- (-1176.855) (-1122.298) [-1129.795] (-1131.489) * (-1129.892) (-1196.706) (-1139.798) [-1124.971] -- 0:04:07
515000 -- (-1187.538) (-1137.743) [-1126.085] (-1125.602) * [-1127.803] (-1197.804) (-1134.238) (-1124.696) -- 0:04:07
Average standard deviation of split frequencies: 0.009669
516000 -- (-1172.291) (-1152.946) (-1128.317) [-1127.358] * (-1138.915) (-1187.356) (-1139.780) [-1136.035] -- 0:04:06
517000 -- (-1185.687) (-1130.802) (-1133.956) [-1136.849] * [-1129.289] (-1212.949) (-1132.467) (-1127.853) -- 0:04:06
518000 -- (-1189.085) [-1121.459] (-1122.694) (-1133.755) * (-1142.807) (-1198.367) (-1139.779) [-1128.969] -- 0:04:05
519000 -- (-1183.310) (-1148.530) (-1127.844) [-1134.171] * [-1116.930] (-1205.439) (-1142.091) (-1130.821) -- 0:04:05
520000 -- (-1187.913) (-1142.069) (-1134.112) [-1121.084] * [-1122.433] (-1197.941) (-1131.304) (-1129.627) -- 0:04:04
Average standard deviation of split frequencies: 0.009444
521000 -- (-1185.091) (-1126.931) (-1132.536) [-1114.902] * [-1127.154] (-1189.473) (-1147.296) (-1127.775) -- 0:04:04
522000 -- (-1190.644) [-1128.468] (-1131.102) (-1122.676) * (-1151.298) (-1201.167) [-1128.796] (-1126.168) -- 0:04:03
523000 -- (-1184.172) (-1140.115) [-1122.598] (-1127.985) * (-1130.872) (-1206.390) [-1123.646] (-1131.498) -- 0:04:03
524000 -- (-1189.569) [-1120.199] (-1125.861) (-1122.589) * (-1133.347) (-1198.520) (-1130.063) [-1121.665] -- 0:04:02
525000 -- (-1182.607) [-1121.974] (-1131.139) (-1134.684) * (-1146.578) (-1188.282) (-1129.127) [-1116.120] -- 0:04:02
Average standard deviation of split frequencies: 0.009355
526000 -- (-1181.605) [-1117.857] (-1125.456) (-1135.932) * (-1127.136) (-1206.060) (-1136.403) [-1119.589] -- 0:04:02
527000 -- (-1188.992) [-1132.901] (-1140.472) (-1134.542) * (-1141.875) (-1214.513) (-1132.919) [-1127.473] -- 0:04:01
528000 -- (-1177.753) [-1124.759] (-1125.962) (-1133.209) * (-1131.227) (-1209.072) (-1129.675) [-1131.391] -- 0:04:01
529000 -- (-1189.311) (-1135.045) (-1143.927) [-1129.026] * (-1136.193) (-1215.840) [-1122.134] (-1122.643) -- 0:04:00
530000 -- (-1186.746) [-1125.530] (-1136.732) (-1132.198) * [-1127.617] (-1200.707) (-1141.334) (-1128.114) -- 0:04:00
Average standard deviation of split frequencies: 0.009626
531000 -- (-1195.669) (-1133.312) [-1129.121] (-1131.003) * (-1134.283) (-1209.665) (-1129.001) [-1127.233] -- 0:03:59
532000 -- (-1189.380) (-1127.632) [-1122.041] (-1135.551) * [-1126.207] (-1191.483) (-1142.371) (-1128.198) -- 0:03:59
533000 -- (-1185.834) (-1133.353) [-1122.243] (-1131.887) * [-1129.724] (-1209.715) (-1143.342) (-1133.271) -- 0:03:58
534000 -- (-1170.989) (-1135.048) [-1130.712] (-1129.093) * [-1115.349] (-1206.243) (-1119.532) (-1121.748) -- 0:03:58
535000 -- (-1197.593) (-1140.094) [-1123.338] (-1140.295) * [-1132.157] (-1205.193) (-1123.350) (-1133.835) -- 0:03:57
Average standard deviation of split frequencies: 0.009771
536000 -- (-1180.818) (-1142.847) [-1121.403] (-1126.024) * [-1122.304] (-1193.135) (-1135.258) (-1140.190) -- 0:03:57
537000 -- (-1188.542) (-1127.755) (-1136.237) [-1130.581] * (-1126.675) (-1209.686) (-1131.113) [-1127.688] -- 0:03:56
538000 -- (-1189.991) (-1139.712) [-1123.266] (-1120.253) * (-1123.396) (-1208.892) [-1125.549] (-1128.891) -- 0:03:56
539000 -- (-1188.731) [-1129.086] (-1128.967) (-1140.228) * (-1141.730) (-1213.799) [-1127.216] (-1120.143) -- 0:03:55
540000 -- (-1179.356) (-1144.870) (-1129.325) [-1120.013] * (-1124.711) (-1197.117) (-1127.858) [-1124.212] -- 0:03:55
Average standard deviation of split frequencies: 0.009433
541000 -- (-1183.387) (-1135.314) [-1124.598] (-1129.385) * (-1132.429) (-1198.272) [-1130.827] (-1148.776) -- 0:03:54
542000 -- (-1181.902) [-1128.912] (-1121.779) (-1139.206) * (-1123.530) (-1202.675) [-1130.209] (-1131.011) -- 0:03:54
543000 -- (-1183.753) (-1123.030) [-1126.687] (-1137.376) * [-1129.328] (-1195.959) (-1133.957) (-1133.609) -- 0:03:53
544000 -- (-1186.502) (-1144.085) [-1121.996] (-1132.542) * (-1135.167) (-1202.412) (-1138.518) [-1131.257] -- 0:03:53
545000 -- (-1190.865) [-1121.073] (-1119.734) (-1137.217) * (-1136.534) (-1201.109) [-1132.161] (-1132.913) -- 0:03:52
Average standard deviation of split frequencies: 0.009281
546000 -- (-1180.962) (-1146.986) (-1123.534) [-1123.179] * (-1142.223) (-1194.941) [-1126.432] (-1134.762) -- 0:03:51
547000 -- (-1202.282) [-1130.289] (-1141.915) (-1128.582) * (-1130.041) (-1186.306) (-1128.746) [-1127.799] -- 0:03:51
548000 -- (-1179.769) (-1138.375) [-1117.573] (-1123.956) * [-1129.259] (-1209.750) (-1126.601) (-1129.116) -- 0:03:50
549000 -- (-1185.668) (-1146.351) (-1121.392) [-1126.687] * (-1132.293) (-1198.922) [-1147.809] (-1125.468) -- 0:03:50
550000 -- (-1194.945) (-1128.832) (-1134.051) [-1131.795] * (-1126.597) (-1211.915) [-1123.550] (-1132.186) -- 0:03:49
Average standard deviation of split frequencies: 0.009453
551000 -- (-1201.831) (-1133.512) (-1148.543) [-1121.412] * (-1136.987) (-1198.374) [-1123.652] (-1127.149) -- 0:03:48
552000 -- (-1178.907) [-1117.121] (-1137.306) (-1120.794) * (-1144.480) (-1205.225) [-1126.290] (-1114.951) -- 0:03:48
553000 -- (-1197.071) [-1126.942] (-1130.326) (-1124.246) * (-1125.850) (-1215.896) [-1120.891] (-1140.874) -- 0:03:47
554000 -- (-1191.544) (-1131.704) [-1123.409] (-1145.839) * (-1131.217) (-1201.225) [-1125.297] (-1136.601) -- 0:03:47
555000 -- (-1181.922) [-1125.838] (-1128.480) (-1150.538) * (-1130.581) (-1199.592) [-1130.859] (-1126.960) -- 0:03:46
Average standard deviation of split frequencies: 0.009207
556000 -- (-1194.669) (-1143.359) [-1130.678] (-1129.860) * (-1129.247) (-1197.251) [-1120.465] (-1136.604) -- 0:03:46
557000 -- (-1182.602) (-1129.363) (-1131.519) [-1122.514] * (-1126.342) (-1191.985) (-1130.586) [-1126.848] -- 0:03:45
558000 -- (-1192.312) (-1125.169) (-1125.605) [-1118.472] * (-1132.044) (-1198.594) [-1129.139] (-1116.204) -- 0:03:45
559000 -- (-1194.570) [-1129.440] (-1121.489) (-1129.400) * [-1125.496] (-1191.327) (-1128.728) (-1128.164) -- 0:03:44
560000 -- (-1180.656) (-1136.413) (-1121.321) [-1126.535] * [-1123.577] (-1204.439) (-1130.647) (-1124.174) -- 0:03:44
Average standard deviation of split frequencies: 0.009307
561000 -- (-1185.506) [-1119.179] (-1125.887) (-1137.170) * (-1128.868) (-1206.495) (-1133.119) [-1123.412] -- 0:03:43
562000 -- (-1186.973) (-1123.182) (-1135.033) [-1125.980] * (-1129.067) (-1213.199) [-1123.978] (-1131.757) -- 0:03:43
563000 -- (-1176.396) (-1126.260) (-1132.441) [-1122.690] * (-1123.804) (-1205.185) (-1137.299) [-1124.593] -- 0:03:42
564000 -- (-1179.820) (-1132.624) [-1126.950] (-1122.413) * [-1130.540] (-1211.664) (-1138.527) (-1129.805) -- 0:03:42
565000 -- (-1181.802) (-1138.572) [-1130.007] (-1125.037) * (-1146.223) (-1201.115) [-1131.299] (-1126.054) -- 0:03:41
Average standard deviation of split frequencies: 0.009747
566000 -- (-1184.622) (-1131.306) (-1128.713) [-1127.095] * (-1124.687) (-1206.991) [-1129.781] (-1131.292) -- 0:03:41
567000 -- (-1178.480) [-1119.449] (-1133.976) (-1132.422) * [-1123.234] (-1208.053) (-1137.835) (-1124.108) -- 0:03:40
568000 -- (-1188.615) [-1128.239] (-1126.758) (-1128.171) * (-1119.110) (-1208.994) (-1133.074) [-1121.827] -- 0:03:40
569000 -- (-1183.958) (-1140.689) (-1118.938) [-1121.041] * (-1124.452) (-1185.570) [-1121.412] (-1131.684) -- 0:03:39
570000 -- (-1187.505) (-1120.291) (-1124.464) [-1129.819] * [-1118.955] (-1196.774) (-1126.694) (-1128.871) -- 0:03:39
Average standard deviation of split frequencies: 0.010184
571000 -- (-1178.398) (-1116.344) [-1126.984] (-1126.694) * [-1128.199] (-1191.540) (-1132.752) (-1136.785) -- 0:03:38
572000 -- (-1195.500) [-1133.951] (-1143.385) (-1125.050) * [-1125.387] (-1206.483) (-1136.641) (-1128.633) -- 0:03:38
573000 -- (-1188.652) [-1125.116] (-1135.030) (-1140.935) * [-1127.738] (-1217.659) (-1134.430) (-1125.395) -- 0:03:37
574000 -- (-1179.495) [-1128.590] (-1128.926) (-1133.611) * [-1126.310] (-1213.567) (-1122.663) (-1133.747) -- 0:03:37
575000 -- (-1181.683) (-1126.362) [-1120.081] (-1124.840) * (-1128.834) (-1202.171) (-1132.937) [-1121.865] -- 0:03:36
Average standard deviation of split frequencies: 0.010224
576000 -- (-1188.689) (-1130.333) [-1137.297] (-1122.593) * (-1127.396) (-1197.455) (-1130.690) [-1121.193] -- 0:03:36
577000 -- (-1201.362) (-1135.097) [-1131.105] (-1124.629) * [-1117.389] (-1199.283) (-1122.281) (-1138.711) -- 0:03:35
578000 -- (-1198.277) [-1123.884] (-1138.067) (-1128.264) * (-1128.859) (-1204.566) [-1119.984] (-1135.139) -- 0:03:35
579000 -- (-1190.858) (-1145.619) (-1134.417) [-1133.632] * (-1125.756) (-1199.007) [-1124.283] (-1130.020) -- 0:03:34
580000 -- (-1199.162) [-1119.319] (-1133.853) (-1130.996) * [-1124.958] (-1223.051) (-1117.262) (-1126.838) -- 0:03:34
Average standard deviation of split frequencies: 0.009891
581000 -- (-1181.535) [-1120.242] (-1131.158) (-1130.546) * (-1124.868) (-1201.401) (-1129.888) [-1126.697] -- 0:03:34
582000 -- (-1176.532) [-1127.806] (-1128.933) (-1133.567) * (-1130.749) (-1192.375) [-1121.879] (-1132.631) -- 0:03:33
583000 -- (-1185.948) [-1128.036] (-1138.388) (-1124.289) * (-1133.885) (-1194.724) [-1129.167] (-1139.253) -- 0:03:33
584000 -- (-1189.036) [-1128.968] (-1135.037) (-1142.880) * [-1126.348] (-1195.872) (-1137.686) (-1143.004) -- 0:03:32
585000 -- (-1181.581) (-1129.468) (-1137.921) [-1119.156] * (-1123.231) (-1215.756) [-1123.456] (-1131.206) -- 0:03:32
Average standard deviation of split frequencies: 0.009954
586000 -- (-1194.926) [-1122.346] (-1127.821) (-1127.267) * (-1135.030) (-1208.585) (-1144.202) [-1118.123] -- 0:03:31
587000 -- (-1190.587) (-1142.705) (-1123.128) [-1128.923] * (-1118.567) (-1199.356) (-1129.237) [-1120.600] -- 0:03:31
588000 -- (-1183.696) (-1137.449) (-1143.318) [-1124.714] * (-1122.447) (-1198.276) (-1132.370) [-1118.831] -- 0:03:30
589000 -- (-1182.706) (-1141.944) (-1142.900) [-1119.557] * (-1128.736) (-1205.236) [-1130.491] (-1137.397) -- 0:03:30
590000 -- (-1214.046) (-1132.932) [-1112.811] (-1138.170) * [-1131.931] (-1205.545) (-1147.269) (-1136.768) -- 0:03:29
Average standard deviation of split frequencies: 0.010102
591000 -- (-1185.510) (-1135.523) [-1122.826] (-1123.251) * [-1132.922] (-1197.539) (-1134.583) (-1134.954) -- 0:03:28
592000 -- (-1187.717) (-1141.217) (-1128.259) [-1126.157] * (-1135.427) (-1204.661) [-1128.520] (-1116.543) -- 0:03:28
593000 -- (-1181.390) [-1121.684] (-1133.244) (-1134.350) * (-1140.640) (-1201.831) (-1125.617) [-1124.599] -- 0:03:27
594000 -- (-1186.406) (-1124.738) [-1128.629] (-1134.852) * (-1132.101) (-1201.523) (-1122.213) [-1117.988] -- 0:03:27
595000 -- (-1184.752) (-1135.509) (-1139.156) [-1129.490] * (-1117.582) (-1200.359) (-1122.798) [-1117.981] -- 0:03:26
Average standard deviation of split frequencies: 0.010271
596000 -- (-1187.912) (-1138.960) [-1134.298] (-1136.912) * (-1133.327) (-1196.283) [-1117.882] (-1129.506) -- 0:03:26
597000 -- (-1194.170) (-1137.670) [-1127.792] (-1133.711) * (-1147.886) (-1190.343) [-1129.890] (-1125.222) -- 0:03:25
598000 -- (-1180.830) (-1132.650) (-1130.361) [-1134.522] * (-1136.572) (-1213.191) (-1147.327) [-1120.191] -- 0:03:25
599000 -- (-1185.882) (-1131.673) [-1128.141] (-1144.963) * (-1132.268) (-1212.609) (-1142.912) [-1119.795] -- 0:03:24
600000 -- (-1191.160) (-1123.900) [-1126.726] (-1139.523) * (-1122.637) (-1211.148) (-1142.581) [-1137.786] -- 0:03:24
Average standard deviation of split frequencies: 0.010224
601000 -- (-1200.533) [-1120.950] (-1135.299) (-1141.139) * [-1132.727] (-1202.732) (-1127.420) (-1143.915) -- 0:03:23
602000 -- (-1190.021) [-1118.367] (-1128.850) (-1140.410) * (-1123.765) (-1196.687) [-1136.767] (-1135.444) -- 0:03:22
603000 -- (-1178.254) [-1118.246] (-1125.731) (-1142.896) * (-1134.445) (-1199.489) [-1124.983] (-1140.945) -- 0:03:22
604000 -- (-1186.081) (-1143.226) (-1124.076) [-1128.252] * (-1148.018) (-1182.850) [-1123.169] (-1131.757) -- 0:03:21
605000 -- (-1187.645) [-1116.497] (-1131.091) (-1119.783) * (-1146.113) (-1199.988) (-1127.899) [-1133.680] -- 0:03:21
Average standard deviation of split frequencies: 0.010283
606000 -- (-1178.529) (-1118.348) (-1142.305) [-1131.785] * (-1126.979) (-1195.631) (-1124.723) [-1119.578] -- 0:03:20
607000 -- (-1175.447) (-1119.140) (-1136.208) [-1127.333] * (-1126.125) (-1202.218) (-1127.842) [-1125.116] -- 0:03:20
608000 -- (-1185.207) (-1129.704) (-1136.940) [-1129.519] * (-1124.921) (-1194.117) (-1123.631) [-1118.713] -- 0:03:19
609000 -- (-1185.684) (-1130.274) [-1125.832] (-1133.671) * [-1122.109] (-1201.873) (-1135.518) (-1128.338) -- 0:03:19
610000 -- (-1179.073) (-1141.629) [-1125.767] (-1131.258) * (-1139.451) (-1202.651) (-1133.626) [-1117.134] -- 0:03:18
Average standard deviation of split frequencies: 0.010087
611000 -- (-1187.406) (-1135.514) [-1126.146] (-1151.020) * [-1127.896] (-1204.318) (-1130.011) (-1126.456) -- 0:03:18
612000 -- (-1196.600) [-1126.395] (-1124.548) (-1146.821) * (-1138.574) (-1195.258) (-1135.724) [-1122.426] -- 0:03:17
613000 -- (-1177.983) (-1128.127) [-1122.115] (-1138.758) * [-1120.104] (-1209.947) (-1124.068) (-1117.882) -- 0:03:17
614000 -- (-1195.100) [-1126.438] (-1143.573) (-1138.845) * (-1136.312) (-1208.343) (-1128.419) [-1122.614] -- 0:03:17
615000 -- (-1195.152) (-1126.834) (-1130.426) [-1125.022] * (-1154.275) (-1219.679) (-1124.474) [-1120.375] -- 0:03:16
Average standard deviation of split frequencies: 0.010095
616000 -- (-1200.512) (-1137.135) (-1131.466) [-1142.570] * (-1128.693) (-1209.312) (-1128.807) [-1127.817] -- 0:03:16
617000 -- (-1184.197) (-1144.760) (-1140.420) [-1129.138] * [-1133.069] (-1208.550) (-1137.107) (-1134.395) -- 0:03:15
618000 -- (-1178.709) [-1130.877] (-1127.901) (-1130.592) * (-1123.299) (-1196.453) [-1121.273] (-1122.547) -- 0:03:15
619000 -- (-1185.634) [-1124.461] (-1143.536) (-1132.905) * (-1130.394) (-1200.330) (-1120.968) [-1128.041] -- 0:03:14
620000 -- (-1176.798) [-1136.642] (-1130.949) (-1129.590) * (-1124.903) (-1200.126) [-1125.927] (-1128.632) -- 0:03:14
Average standard deviation of split frequencies: 0.010030
621000 -- (-1186.911) (-1142.213) [-1123.705] (-1129.491) * (-1124.118) (-1208.088) (-1138.643) [-1135.144] -- 0:03:13
622000 -- (-1176.543) [-1131.318] (-1129.330) (-1118.035) * (-1131.810) (-1220.400) [-1125.770] (-1128.450) -- 0:03:13
623000 -- (-1180.428) [-1133.476] (-1142.007) (-1129.985) * (-1142.642) (-1194.453) [-1131.259] (-1143.385) -- 0:03:12
624000 -- (-1193.048) [-1137.641] (-1146.947) (-1131.630) * (-1130.067) (-1194.210) [-1124.088] (-1123.056) -- 0:03:12
625000 -- (-1190.683) [-1130.488] (-1126.669) (-1134.811) * (-1122.329) (-1198.060) (-1128.899) [-1130.945] -- 0:03:11
Average standard deviation of split frequencies: 0.010202
626000 -- (-1172.129) (-1125.999) (-1124.453) [-1124.540] * (-1127.655) (-1196.938) (-1130.666) [-1130.143] -- 0:03:11
627000 -- (-1183.050) [-1128.573] (-1124.843) (-1122.146) * (-1139.017) (-1203.797) [-1129.166] (-1128.020) -- 0:03:10
628000 -- (-1183.846) (-1141.548) (-1128.811) [-1122.787] * (-1129.753) (-1190.757) [-1120.061] (-1126.546) -- 0:03:10
629000 -- (-1191.693) (-1126.880) (-1133.662) [-1126.299] * (-1142.155) (-1216.528) (-1127.044) [-1123.826] -- 0:03:09
630000 -- (-1175.833) (-1128.073) (-1119.067) [-1131.952] * (-1146.784) (-1201.970) (-1135.637) [-1116.705] -- 0:03:09
Average standard deviation of split frequencies: 0.010598
631000 -- (-1188.609) (-1129.106) [-1120.798] (-1121.007) * [-1124.715] (-1202.497) (-1134.260) (-1122.719) -- 0:03:08
632000 -- (-1180.631) [-1126.039] (-1122.548) (-1131.994) * (-1127.545) (-1205.614) [-1120.887] (-1131.758) -- 0:03:08
633000 -- (-1183.143) (-1139.419) [-1126.251] (-1131.829) * [-1118.115] (-1200.223) (-1135.773) (-1135.928) -- 0:03:07
634000 -- (-1205.561) (-1130.496) [-1124.779] (-1146.445) * [-1125.855] (-1205.124) (-1128.304) (-1123.891) -- 0:03:07
635000 -- (-1198.552) (-1125.560) (-1118.771) [-1129.796] * (-1127.513) (-1197.622) [-1123.757] (-1124.143) -- 0:03:06
Average standard deviation of split frequencies: 0.010600
636000 -- (-1192.241) [-1127.090] (-1133.508) (-1123.976) * (-1137.960) (-1213.781) [-1124.607] (-1119.126) -- 0:03:06
637000 -- (-1179.689) [-1128.537] (-1130.824) (-1120.902) * (-1140.193) (-1199.561) [-1130.412] (-1124.820) -- 0:03:05
638000 -- (-1194.851) [-1123.965] (-1124.836) (-1134.174) * (-1135.657) (-1187.279) [-1121.209] (-1144.833) -- 0:03:04
639000 -- (-1191.439) (-1135.463) (-1126.800) [-1113.629] * [-1127.019] (-1195.511) (-1132.690) (-1130.324) -- 0:03:04
640000 -- (-1179.338) [-1130.777] (-1138.006) (-1127.376) * [-1117.375] (-1196.975) (-1137.574) (-1129.509) -- 0:03:03
Average standard deviation of split frequencies: 0.010716
641000 -- (-1170.300) (-1140.358) (-1131.305) [-1136.834] * (-1122.165) (-1192.918) (-1127.863) [-1131.709] -- 0:03:03
642000 -- (-1176.966) (-1131.964) [-1125.876] (-1132.132) * [-1125.216] (-1202.729) (-1122.390) (-1130.942) -- 0:03:02
643000 -- (-1173.069) (-1126.385) (-1127.285) [-1123.384] * (-1130.466) (-1194.828) [-1127.389] (-1134.448) -- 0:03:02
644000 -- (-1173.611) (-1137.566) [-1128.874] (-1125.446) * (-1133.397) (-1204.452) [-1111.986] (-1127.725) -- 0:03:01
645000 -- (-1171.568) (-1135.551) [-1131.604] (-1134.305) * (-1132.534) (-1201.369) [-1128.993] (-1139.532) -- 0:03:01
Average standard deviation of split frequencies: 0.010426
646000 -- (-1183.676) (-1128.168) [-1125.142] (-1141.734) * (-1149.811) (-1188.736) [-1126.063] (-1136.036) -- 0:03:00
647000 -- (-1184.422) (-1128.569) [-1122.121] (-1128.508) * [-1131.507] (-1204.206) (-1122.201) (-1132.616) -- 0:03:00
648000 -- (-1173.093) (-1132.421) [-1121.781] (-1131.393) * [-1121.854] (-1206.407) (-1137.269) (-1129.160) -- 0:02:59
649000 -- (-1193.359) (-1129.070) [-1120.766] (-1128.829) * (-1140.394) (-1211.346) [-1134.997] (-1140.571) -- 0:02:59
650000 -- (-1202.015) [-1123.623] (-1133.411) (-1127.236) * (-1123.092) (-1218.917) [-1127.073] (-1121.597) -- 0:02:58
Average standard deviation of split frequencies: 0.010465
651000 -- (-1196.113) (-1141.456) [-1133.128] (-1140.026) * (-1135.522) (-1206.431) (-1142.423) [-1124.138] -- 0:02:58
652000 -- (-1185.390) (-1124.391) (-1131.779) [-1131.457] * (-1127.523) (-1195.102) [-1118.684] (-1137.849) -- 0:02:57
653000 -- (-1171.045) [-1122.547] (-1118.664) (-1137.613) * (-1124.922) (-1200.981) [-1128.672] (-1139.411) -- 0:02:57
654000 -- (-1177.520) (-1132.795) [-1123.880] (-1132.708) * (-1126.480) (-1195.024) [-1116.487] (-1138.228) -- 0:02:56
655000 -- (-1186.554) (-1137.607) [-1122.083] (-1132.621) * [-1131.931] (-1197.854) (-1125.207) (-1122.797) -- 0:02:56
Average standard deviation of split frequencies: 0.010730
656000 -- (-1196.433) (-1132.227) (-1132.295) [-1122.365] * (-1135.150) (-1208.549) [-1130.166] (-1122.627) -- 0:02:55
657000 -- (-1178.238) (-1131.986) (-1133.087) [-1120.099] * [-1119.290] (-1194.313) (-1126.624) (-1128.282) -- 0:02:55
658000 -- (-1181.341) (-1136.220) (-1133.475) [-1127.251] * [-1132.632] (-1196.643) (-1136.241) (-1126.063) -- 0:02:54
659000 -- (-1193.351) (-1119.771) [-1126.459] (-1124.617) * (-1128.230) (-1209.037) (-1123.523) [-1127.611] -- 0:02:54
660000 -- (-1180.848) [-1129.896] (-1137.430) (-1130.668) * (-1120.992) (-1191.436) (-1127.748) [-1128.406] -- 0:02:53
Average standard deviation of split frequencies: 0.010449
661000 -- (-1182.375) (-1133.223) [-1116.132] (-1139.504) * (-1127.388) (-1204.569) [-1118.363] (-1129.059) -- 0:02:53
662000 -- (-1176.245) (-1131.901) (-1129.555) [-1130.588] * (-1139.936) (-1197.672) (-1125.570) [-1117.744] -- 0:02:52
663000 -- (-1174.106) (-1133.138) (-1135.459) [-1135.081] * (-1134.719) (-1196.336) (-1124.994) [-1131.099] -- 0:02:52
664000 -- (-1187.246) (-1137.395) [-1124.507] (-1131.388) * (-1132.927) (-1212.142) [-1124.910] (-1121.376) -- 0:02:51
665000 -- (-1180.630) (-1125.107) [-1128.804] (-1135.123) * [-1135.505] (-1191.736) (-1141.373) (-1122.386) -- 0:02:51
Average standard deviation of split frequencies: 0.010225
666000 -- (-1186.204) (-1129.240) [-1121.612] (-1139.399) * (-1125.599) (-1198.207) [-1121.720] (-1129.206) -- 0:02:50
667000 -- (-1191.474) (-1125.514) [-1121.491] (-1144.340) * (-1136.578) (-1188.721) [-1131.595] (-1123.006) -- 0:02:50
668000 -- (-1181.901) (-1122.410) [-1121.048] (-1141.538) * (-1125.751) (-1215.657) (-1117.928) [-1120.061] -- 0:02:49
669000 -- (-1189.186) [-1120.721] (-1132.820) (-1130.822) * (-1127.592) (-1212.309) [-1125.742] (-1141.125) -- 0:02:49
670000 -- (-1182.863) (-1130.835) (-1146.297) [-1120.449] * [-1124.188] (-1196.931) (-1128.449) (-1132.922) -- 0:02:48
Average standard deviation of split frequencies: 0.010004
671000 -- (-1178.604) [-1124.358] (-1133.341) (-1125.719) * (-1145.797) (-1200.911) (-1133.098) [-1123.234] -- 0:02:48
672000 -- (-1190.871) [-1128.838] (-1140.297) (-1129.348) * (-1125.822) (-1202.012) [-1124.417] (-1150.206) -- 0:02:47
673000 -- (-1187.457) [-1123.229] (-1139.549) (-1126.991) * (-1142.399) (-1201.507) [-1122.397] (-1133.081) -- 0:02:47
674000 -- (-1188.467) (-1126.059) [-1124.427] (-1122.998) * (-1146.227) (-1195.771) (-1128.473) [-1118.297] -- 0:02:46
675000 -- (-1190.006) (-1128.213) (-1142.317) [-1117.710] * (-1133.675) (-1198.401) (-1152.922) [-1123.050] -- 0:02:46
Average standard deviation of split frequencies: 0.009831
676000 -- (-1180.766) (-1138.283) (-1136.696) [-1129.362] * (-1134.470) (-1208.620) [-1132.849] (-1145.763) -- 0:02:45
677000 -- (-1180.005) [-1116.503] (-1129.065) (-1134.988) * (-1135.507) (-1197.878) [-1121.793] (-1128.130) -- 0:02:45
678000 -- (-1183.257) (-1124.027) (-1127.271) [-1120.070] * (-1133.235) (-1196.103) [-1128.396] (-1139.682) -- 0:02:44
679000 -- (-1183.498) (-1118.704) [-1129.079] (-1131.479) * (-1133.378) (-1195.170) [-1127.498] (-1126.932) -- 0:02:44
680000 -- (-1175.151) [-1134.208] (-1134.610) (-1127.748) * (-1131.992) (-1193.254) [-1130.575] (-1128.150) -- 0:02:43
Average standard deviation of split frequencies: 0.010012
681000 -- (-1186.511) (-1127.485) (-1128.811) [-1112.969] * (-1138.260) (-1204.552) (-1129.655) [-1122.274] -- 0:02:43
682000 -- (-1213.859) (-1124.386) (-1140.992) [-1114.251] * [-1126.272] (-1202.525) (-1133.391) (-1125.993) -- 0:02:42
683000 -- (-1183.982) [-1117.485] (-1133.038) (-1128.707) * (-1134.611) (-1203.629) (-1131.031) [-1122.357] -- 0:02:41
684000 -- (-1187.737) (-1125.983) (-1149.518) [-1129.355] * [-1125.628] (-1194.186) (-1132.165) (-1129.511) -- 0:02:41
685000 -- (-1192.256) (-1125.454) (-1142.075) [-1120.202] * (-1128.719) (-1208.892) (-1133.895) [-1117.638] -- 0:02:40
Average standard deviation of split frequencies: 0.009865
686000 -- (-1188.483) (-1135.457) [-1126.251] (-1122.886) * (-1127.459) (-1208.990) (-1129.676) [-1120.100] -- 0:02:40
687000 -- (-1189.621) [-1121.888] (-1140.654) (-1126.894) * [-1123.800] (-1208.630) (-1133.609) (-1139.075) -- 0:02:39
688000 -- (-1192.582) (-1113.581) (-1131.745) [-1121.304] * (-1130.776) (-1200.879) (-1118.613) [-1116.408] -- 0:02:39
689000 -- (-1195.904) (-1149.209) (-1135.340) [-1119.849] * (-1132.740) (-1198.722) (-1116.100) [-1123.524] -- 0:02:38
690000 -- (-1189.730) (-1129.398) (-1128.849) [-1124.101] * (-1131.399) (-1198.099) (-1120.862) [-1119.898] -- 0:02:38
Average standard deviation of split frequencies: 0.009712
691000 -- (-1178.690) (-1124.998) [-1124.100] (-1138.593) * (-1130.607) (-1199.515) (-1127.714) [-1125.157] -- 0:02:37
692000 -- (-1189.651) (-1131.687) [-1116.074] (-1138.367) * (-1132.257) (-1205.713) [-1120.171] (-1123.319) -- 0:02:37
693000 -- (-1188.027) (-1122.287) (-1137.609) [-1128.614] * (-1140.562) (-1192.780) [-1124.015] (-1148.517) -- 0:02:36
694000 -- (-1177.623) [-1121.495] (-1133.953) (-1123.325) * [-1121.463] (-1192.734) (-1124.618) (-1145.792) -- 0:02:36
695000 -- (-1194.027) (-1131.846) (-1137.434) [-1121.431] * (-1135.502) (-1196.358) [-1119.848] (-1131.588) -- 0:02:35
Average standard deviation of split frequencies: 0.009798
696000 -- (-1192.658) [-1116.858] (-1141.144) (-1124.195) * [-1131.666] (-1201.142) (-1127.956) (-1154.596) -- 0:02:35
697000 -- (-1190.277) (-1126.420) [-1129.607] (-1121.818) * [-1130.707] (-1206.006) (-1128.890) (-1129.295) -- 0:02:34
698000 -- (-1188.788) (-1130.100) [-1123.869] (-1121.093) * [-1128.282] (-1194.479) (-1115.252) (-1128.453) -- 0:02:34
699000 -- (-1192.926) (-1122.645) (-1135.781) [-1129.109] * (-1126.292) (-1201.260) [-1128.004] (-1136.083) -- 0:02:33
700000 -- (-1179.589) [-1126.643] (-1124.784) (-1129.164) * [-1124.083] (-1205.043) (-1124.820) (-1139.746) -- 0:02:33
Average standard deviation of split frequencies: 0.009277
701000 -- (-1170.158) (-1137.672) [-1128.260] (-1132.842) * [-1125.087] (-1210.076) (-1125.568) (-1147.449) -- 0:02:32
702000 -- (-1185.706) (-1129.606) (-1137.666) [-1124.369] * (-1115.937) (-1194.696) [-1122.661] (-1130.221) -- 0:02:31
703000 -- (-1189.190) (-1126.836) (-1143.523) [-1125.058] * [-1131.153] (-1201.193) (-1130.955) (-1127.186) -- 0:02:31
704000 -- (-1181.732) (-1143.935) [-1123.018] (-1127.616) * (-1123.725) (-1198.096) [-1140.447] (-1136.236) -- 0:02:30
705000 -- (-1186.130) (-1130.132) (-1129.142) [-1133.851] * (-1130.818) (-1188.950) (-1142.610) [-1128.764] -- 0:02:30
Average standard deviation of split frequencies: 0.009255
706000 -- (-1179.806) (-1144.705) [-1129.118] (-1134.806) * (-1142.944) (-1201.936) (-1132.704) [-1126.908] -- 0:02:29
707000 -- (-1188.805) [-1126.134] (-1138.521) (-1119.390) * (-1126.392) (-1194.364) (-1124.890) [-1113.386] -- 0:02:29
708000 -- (-1200.249) (-1135.344) [-1128.199] (-1127.304) * (-1140.664) (-1199.136) [-1126.413] (-1130.499) -- 0:02:28
709000 -- (-1195.752) (-1132.413) (-1131.809) [-1122.907] * (-1136.703) (-1200.792) (-1124.247) [-1126.680] -- 0:02:28
710000 -- (-1179.830) (-1142.453) (-1148.734) [-1122.958] * [-1128.284] (-1202.715) (-1134.533) (-1127.338) -- 0:02:27
Average standard deviation of split frequencies: 0.009483
711000 -- (-1186.680) [-1129.545] (-1147.690) (-1126.937) * (-1126.760) (-1197.736) [-1121.074] (-1131.751) -- 0:02:27
712000 -- (-1182.217) (-1125.167) (-1140.309) [-1132.279] * (-1127.086) (-1184.707) [-1133.528] (-1136.321) -- 0:02:26
713000 -- (-1177.184) [-1121.445] (-1129.458) (-1149.095) * [-1125.561] (-1201.305) (-1144.896) (-1138.716) -- 0:02:26
714000 -- (-1184.042) (-1137.803) [-1130.548] (-1135.312) * (-1114.836) (-1203.813) (-1128.524) [-1128.432] -- 0:02:26
715000 -- (-1193.802) [-1125.987] (-1128.001) (-1124.345) * [-1130.748] (-1189.512) (-1126.104) (-1130.401) -- 0:02:25
Average standard deviation of split frequencies: 0.009471
716000 -- (-1194.899) [-1124.386] (-1127.535) (-1130.763) * [-1139.632] (-1204.544) (-1127.006) (-1123.534) -- 0:02:25
717000 -- (-1190.534) [-1124.322] (-1136.403) (-1123.554) * (-1133.184) (-1184.047) (-1114.549) [-1130.936] -- 0:02:24
718000 -- (-1183.187) (-1140.372) (-1123.113) [-1123.664] * [-1126.102] (-1205.581) (-1123.979) (-1139.744) -- 0:02:24
719000 -- (-1185.177) (-1121.827) [-1124.814] (-1136.456) * (-1124.604) (-1193.971) [-1127.064] (-1137.469) -- 0:02:23
720000 -- (-1179.480) (-1122.046) [-1126.194] (-1134.167) * [-1121.861] (-1198.125) (-1133.027) (-1134.293) -- 0:02:23
Average standard deviation of split frequencies: 0.009298
721000 -- (-1191.169) [-1122.935] (-1134.224) (-1148.174) * [-1126.395] (-1194.245) (-1148.315) (-1120.946) -- 0:02:22
722000 -- (-1196.340) (-1126.787) (-1141.700) [-1125.332] * [-1116.954] (-1202.099) (-1139.359) (-1121.502) -- 0:02:22
723000 -- (-1190.755) (-1141.046) [-1125.626] (-1123.913) * [-1130.784] (-1190.837) (-1130.179) (-1123.239) -- 0:02:21
724000 -- (-1195.197) (-1137.929) (-1131.465) [-1124.094] * [-1128.942] (-1194.254) (-1136.876) (-1124.010) -- 0:02:21
725000 -- (-1205.069) (-1127.325) [-1133.837] (-1143.105) * (-1118.335) (-1201.733) (-1144.806) [-1126.305] -- 0:02:20
Average standard deviation of split frequencies: 0.009383
726000 -- (-1193.601) (-1128.127) (-1131.159) [-1131.649] * [-1126.947] (-1191.756) (-1139.399) (-1117.882) -- 0:02:20
727000 -- (-1187.397) (-1134.294) (-1135.082) [-1121.519] * (-1134.134) (-1199.650) [-1122.626] (-1122.019) -- 0:02:19
728000 -- (-1185.279) (-1146.258) (-1131.277) [-1128.345] * (-1143.392) (-1211.086) [-1119.579] (-1131.405) -- 0:02:18
729000 -- (-1189.393) (-1132.703) (-1130.482) [-1126.849] * (-1124.078) (-1198.055) [-1131.104] (-1139.112) -- 0:02:18
730000 -- (-1187.098) [-1135.333] (-1133.180) (-1132.938) * [-1127.306] (-1202.766) (-1129.536) (-1128.521) -- 0:02:17
Average standard deviation of split frequencies: 0.009409
731000 -- (-1184.537) (-1143.652) [-1133.291] (-1119.246) * [-1117.655] (-1194.031) (-1138.282) (-1122.363) -- 0:02:17
732000 -- (-1182.952) (-1132.555) (-1133.949) [-1124.192] * (-1121.599) (-1188.646) (-1136.557) [-1132.173] -- 0:02:16
733000 -- (-1170.945) (-1131.893) (-1132.638) [-1119.331] * (-1132.198) (-1205.599) [-1118.588] (-1124.612) -- 0:02:16
734000 -- (-1186.090) (-1129.789) [-1124.428] (-1127.188) * (-1158.679) (-1191.135) [-1130.180] (-1121.136) -- 0:02:15
735000 -- (-1192.878) (-1140.095) [-1124.984] (-1127.072) * (-1154.924) (-1203.634) [-1124.974] (-1121.116) -- 0:02:15
Average standard deviation of split frequencies: 0.009362
736000 -- (-1186.352) (-1144.476) [-1115.500] (-1124.629) * (-1142.662) (-1191.250) [-1139.452] (-1128.701) -- 0:02:14
737000 -- (-1190.610) (-1140.049) [-1122.737] (-1136.041) * (-1136.870) (-1214.872) (-1142.337) [-1131.563] -- 0:02:14
738000 -- (-1184.442) [-1134.175] (-1127.984) (-1131.103) * (-1133.927) (-1220.805) (-1133.564) [-1119.347] -- 0:02:13
739000 -- (-1175.310) [-1124.608] (-1130.858) (-1148.436) * (-1136.205) (-1203.087) (-1127.308) [-1121.523] -- 0:02:13
740000 -- (-1186.968) [-1126.507] (-1130.503) (-1147.519) * (-1124.282) (-1200.521) (-1133.262) [-1125.171] -- 0:02:12
Average standard deviation of split frequencies: 0.009451
741000 -- (-1173.612) (-1126.705) [-1123.196] (-1146.070) * (-1121.216) (-1194.057) (-1145.021) [-1126.269] -- 0:02:12
742000 -- (-1197.082) (-1131.909) [-1119.148] (-1141.252) * (-1121.554) (-1195.503) (-1139.799) [-1129.389] -- 0:02:11
743000 -- (-1180.750) (-1130.969) [-1131.813] (-1147.818) * (-1136.960) (-1198.712) [-1129.061] (-1130.778) -- 0:02:11
744000 -- (-1178.676) [-1124.853] (-1133.832) (-1125.994) * (-1128.730) (-1198.574) (-1129.670) [-1126.948] -- 0:02:10
745000 -- (-1185.162) (-1122.307) (-1126.643) [-1125.056] * (-1127.768) (-1201.166) (-1137.829) [-1117.669] -- 0:02:10
Average standard deviation of split frequencies: 0.009401
746000 -- (-1170.394) (-1125.463) [-1129.848] (-1146.062) * (-1123.197) (-1201.650) (-1120.879) [-1121.003] -- 0:02:09
747000 -- (-1179.834) (-1123.343) (-1127.041) [-1127.426] * (-1137.284) (-1208.493) [-1126.037] (-1131.697) -- 0:02:09
748000 -- (-1190.291) (-1127.004) (-1140.674) [-1124.144] * (-1135.485) (-1199.254) [-1123.463] (-1121.429) -- 0:02:08
749000 -- (-1200.541) (-1140.353) (-1133.892) [-1142.821] * [-1134.807] (-1195.376) (-1119.095) (-1140.248) -- 0:02:08
750000 -- (-1193.024) [-1132.171] (-1132.075) (-1129.913) * [-1117.961] (-1194.832) (-1119.260) (-1130.889) -- 0:02:07
Average standard deviation of split frequencies: 0.009273
751000 -- (-1189.624) (-1135.689) [-1120.630] (-1133.097) * (-1124.274) (-1207.464) [-1120.639] (-1119.305) -- 0:02:07
752000 -- (-1179.642) (-1132.743) (-1123.241) [-1129.850] * (-1127.129) (-1203.734) (-1128.076) [-1119.907] -- 0:02:06
753000 -- (-1178.156) [-1125.509] (-1149.791) (-1139.442) * (-1128.081) (-1201.396) (-1133.335) [-1121.412] -- 0:02:06
754000 -- (-1188.178) [-1124.542] (-1125.919) (-1142.692) * (-1129.097) (-1203.603) (-1140.696) [-1118.537] -- 0:02:05
755000 -- (-1183.080) (-1135.262) [-1120.507] (-1134.064) * (-1140.728) (-1201.978) (-1136.744) [-1130.714] -- 0:02:05
Average standard deviation of split frequencies: 0.009054
756000 -- (-1181.341) (-1127.035) [-1124.088] (-1139.011) * (-1137.100) (-1192.497) (-1129.802) [-1122.885] -- 0:02:04
757000 -- (-1182.328) (-1139.370) (-1127.007) [-1125.363] * (-1132.413) (-1201.078) (-1141.350) [-1120.635] -- 0:02:04
758000 -- (-1185.518) (-1133.540) (-1133.426) [-1122.120] * [-1130.362] (-1215.863) (-1139.506) (-1128.660) -- 0:02:03
759000 -- (-1195.456) (-1124.688) [-1122.708] (-1132.659) * [-1122.096] (-1205.709) (-1137.655) (-1130.921) -- 0:02:03
760000 -- (-1192.860) (-1119.401) [-1129.217] (-1136.878) * (-1135.826) (-1198.202) (-1127.544) [-1122.065] -- 0:02:02
Average standard deviation of split frequencies: 0.009347
761000 -- (-1181.038) (-1119.363) (-1122.558) [-1126.802] * (-1143.454) (-1207.409) (-1115.711) [-1124.199] -- 0:02:02
762000 -- (-1189.504) (-1125.582) (-1126.600) [-1120.549] * (-1147.932) (-1189.396) [-1122.648] (-1125.219) -- 0:02:01
763000 -- (-1172.050) (-1130.497) (-1127.840) [-1126.899] * (-1141.816) (-1207.557) (-1130.002) [-1121.773] -- 0:02:01
764000 -- (-1195.046) (-1133.796) (-1126.305) [-1127.631] * [-1128.599] (-1202.803) (-1136.718) (-1131.922) -- 0:02:00
765000 -- (-1197.039) (-1122.054) (-1133.076) [-1134.290] * (-1144.556) (-1200.169) [-1122.256] (-1143.329) -- 0:02:00
Average standard deviation of split frequencies: 0.009383
766000 -- (-1182.561) (-1119.204) (-1141.603) [-1135.277] * (-1134.165) (-1191.249) [-1135.807] (-1127.700) -- 0:01:59
767000 -- (-1176.919) (-1130.175) (-1139.584) [-1132.411] * (-1139.079) (-1202.714) (-1120.971) [-1118.912] -- 0:01:59
768000 -- (-1179.530) [-1122.268] (-1132.109) (-1134.703) * (-1128.181) (-1203.247) [-1131.830] (-1123.632) -- 0:01:58
769000 -- (-1174.575) (-1138.024) (-1123.376) [-1135.693] * (-1129.107) (-1205.611) [-1123.033] (-1128.511) -- 0:01:58
770000 -- (-1193.374) (-1132.866) [-1119.634] (-1146.318) * (-1123.319) (-1196.797) (-1125.340) [-1129.372] -- 0:01:57
Average standard deviation of split frequencies: 0.009343
771000 -- (-1194.118) [-1135.335] (-1139.621) (-1143.437) * (-1120.858) (-1206.996) (-1120.313) [-1125.352] -- 0:01:57
772000 -- (-1189.266) [-1131.419] (-1135.463) (-1134.983) * [-1120.726] (-1199.426) (-1134.481) (-1129.949) -- 0:01:56
773000 -- (-1190.352) (-1128.745) (-1130.928) [-1124.035] * (-1126.743) (-1204.256) [-1119.666] (-1127.168) -- 0:01:55
774000 -- (-1184.854) [-1123.026] (-1130.207) (-1141.318) * [-1126.266] (-1198.218) (-1142.045) (-1114.463) -- 0:01:55
775000 -- (-1182.491) [-1123.475] (-1138.042) (-1136.247) * (-1131.724) (-1213.400) (-1125.760) [-1130.890] -- 0:01:54
Average standard deviation of split frequencies: 0.009273
776000 -- (-1188.259) (-1130.314) (-1145.118) [-1141.142] * (-1145.986) (-1195.958) (-1129.032) [-1126.470] -- 0:01:54
777000 -- (-1196.586) [-1119.951] (-1124.247) (-1138.355) * [-1120.968] (-1195.364) (-1121.191) (-1128.222) -- 0:01:53
778000 -- (-1188.001) [-1128.038] (-1131.544) (-1138.414) * (-1137.337) (-1199.742) [-1125.843] (-1129.409) -- 0:01:53
779000 -- (-1179.273) (-1142.611) (-1127.491) [-1134.866] * (-1139.044) (-1196.561) [-1124.524] (-1129.276) -- 0:01:52
780000 -- (-1199.891) (-1137.198) (-1125.958) [-1125.236] * (-1137.128) (-1202.148) (-1130.829) [-1131.516] -- 0:01:52
Average standard deviation of split frequencies: 0.008854
781000 -- (-1179.860) (-1137.794) (-1131.102) [-1120.763] * (-1133.188) (-1218.286) [-1121.808] (-1145.584) -- 0:01:51
782000 -- (-1181.203) [-1127.291] (-1133.554) (-1127.585) * [-1118.348] (-1190.772) (-1134.103) (-1133.439) -- 0:01:51
783000 -- (-1183.494) (-1127.574) [-1128.462] (-1124.289) * (-1122.372) (-1196.858) [-1128.895] (-1137.662) -- 0:01:50
784000 -- (-1176.006) (-1145.563) (-1136.582) [-1120.694] * [-1125.365] (-1188.930) (-1133.128) (-1129.594) -- 0:01:50
785000 -- (-1184.090) [-1141.607] (-1131.633) (-1140.034) * [-1126.162] (-1199.507) (-1132.605) (-1135.298) -- 0:01:49
Average standard deviation of split frequencies: 0.009038
786000 -- (-1178.964) (-1143.875) [-1118.138] (-1123.312) * [-1124.508] (-1199.553) (-1130.437) (-1143.411) -- 0:01:49
787000 -- (-1195.404) (-1133.835) (-1131.143) [-1118.530] * (-1136.167) (-1203.350) (-1140.023) [-1127.596] -- 0:01:48
788000 -- (-1188.661) (-1133.736) (-1125.352) [-1117.059] * (-1124.040) (-1194.964) (-1128.364) [-1124.336] -- 0:01:48
789000 -- (-1199.793) (-1132.567) [-1129.275] (-1125.797) * (-1132.268) (-1200.629) (-1129.811) [-1128.213] -- 0:01:47
790000 -- (-1202.062) (-1126.989) (-1134.673) [-1119.096] * [-1130.047] (-1198.990) (-1131.171) (-1123.441) -- 0:01:47
Average standard deviation of split frequencies: 0.008943
791000 -- (-1183.420) [-1117.947] (-1136.009) (-1137.494) * (-1139.213) (-1204.461) (-1144.114) [-1122.455] -- 0:01:46
792000 -- (-1193.362) [-1131.136] (-1125.017) (-1125.057) * (-1128.884) (-1195.653) [-1133.169] (-1134.969) -- 0:01:46
793000 -- (-1183.011) [-1125.021] (-1136.241) (-1126.015) * [-1125.443] (-1203.960) (-1133.663) (-1135.024) -- 0:01:45
794000 -- (-1185.491) (-1131.572) (-1129.624) [-1122.228] * (-1129.463) (-1195.801) [-1118.579] (-1134.887) -- 0:01:45
795000 -- (-1184.043) (-1139.114) (-1127.215) [-1133.299] * (-1129.381) (-1187.818) (-1133.054) [-1131.845] -- 0:01:44
Average standard deviation of split frequencies: 0.008700
796000 -- (-1188.915) [-1123.657] (-1124.429) (-1134.352) * [-1126.470] (-1184.457) (-1133.930) (-1128.187) -- 0:01:44
797000 -- (-1187.833) [-1115.896] (-1135.700) (-1130.505) * [-1127.649] (-1191.038) (-1140.218) (-1123.465) -- 0:01:43
798000 -- (-1180.616) (-1121.086) (-1131.634) [-1125.510] * (-1124.027) (-1204.335) (-1140.228) [-1128.705] -- 0:01:43
799000 -- (-1196.028) (-1124.635) (-1124.180) [-1123.992] * (-1130.966) (-1197.333) (-1139.614) [-1125.196] -- 0:01:42
800000 -- (-1184.480) (-1128.502) [-1127.923] (-1134.615) * [-1127.336] (-1205.452) (-1128.135) (-1137.504) -- 0:01:42
Average standard deviation of split frequencies: 0.008613
801000 -- (-1185.272) (-1129.904) [-1123.604] (-1146.762) * [-1123.116] (-1213.244) (-1139.229) (-1136.233) -- 0:01:41
802000 -- (-1184.701) (-1132.674) (-1123.988) [-1121.865] * [-1125.045] (-1197.855) (-1130.841) (-1126.988) -- 0:01:41
803000 -- (-1195.105) [-1119.655] (-1122.225) (-1135.846) * [-1131.844] (-1208.719) (-1132.727) (-1138.061) -- 0:01:40
804000 -- (-1177.227) [-1122.841] (-1135.530) (-1117.063) * [-1128.171] (-1215.310) (-1137.426) (-1127.691) -- 0:01:40
805000 -- (-1180.640) (-1132.634) [-1129.871] (-1116.373) * [-1122.018] (-1201.955) (-1124.103) (-1129.003) -- 0:01:39
Average standard deviation of split frequencies: 0.008625
806000 -- (-1179.290) [-1133.380] (-1139.789) (-1136.494) * [-1122.706] (-1207.943) (-1130.441) (-1140.119) -- 0:01:39
807000 -- (-1185.178) (-1126.521) (-1124.128) [-1123.745] * (-1121.676) (-1193.506) (-1144.679) [-1129.211] -- 0:01:38
808000 -- (-1179.556) (-1118.976) [-1129.171] (-1139.976) * (-1129.480) (-1195.996) (-1130.796) [-1121.497] -- 0:01:38
809000 -- (-1185.940) (-1126.303) [-1124.035] (-1133.034) * (-1121.757) (-1199.412) (-1132.721) [-1133.074] -- 0:01:37
810000 -- (-1188.974) [-1123.105] (-1130.580) (-1125.339) * (-1118.486) (-1197.715) (-1143.606) [-1131.925] -- 0:01:37
Average standard deviation of split frequencies: 0.008714
811000 -- (-1178.520) (-1122.895) [-1122.177] (-1144.249) * [-1132.384] (-1206.273) (-1140.389) (-1141.487) -- 0:01:36
812000 -- (-1179.356) (-1124.878) [-1122.683] (-1137.681) * (-1119.147) (-1200.887) (-1149.789) [-1124.138] -- 0:01:36
813000 -- (-1180.752) (-1123.179) [-1127.403] (-1149.962) * (-1122.559) (-1211.914) [-1128.990] (-1132.316) -- 0:01:35
814000 -- (-1200.041) [-1130.374] (-1131.713) (-1130.438) * [-1120.496] (-1200.830) (-1128.751) (-1134.947) -- 0:01:35
815000 -- (-1178.871) [-1135.359] (-1148.014) (-1128.255) * (-1128.286) (-1204.945) [-1116.175] (-1144.633) -- 0:01:34
Average standard deviation of split frequencies: 0.008737
816000 -- (-1185.533) [-1118.657] (-1135.970) (-1126.084) * (-1126.223) (-1195.936) (-1133.144) [-1133.193] -- 0:01:34
817000 -- (-1183.490) (-1130.358) (-1153.887) [-1127.301] * [-1122.012] (-1199.941) (-1130.197) (-1141.759) -- 0:01:33
818000 -- (-1177.618) [-1123.731] (-1139.888) (-1129.018) * (-1134.207) (-1191.031) [-1121.730] (-1138.715) -- 0:01:33
819000 -- (-1193.456) (-1132.822) (-1122.289) [-1126.482] * (-1133.928) (-1199.331) [-1126.265] (-1123.413) -- 0:01:32
820000 -- (-1191.818) [-1128.433] (-1145.815) (-1124.127) * (-1132.623) (-1199.120) [-1115.392] (-1127.464) -- 0:01:31
Average standard deviation of split frequencies: 0.008844
821000 -- (-1192.320) [-1114.681] (-1136.321) (-1142.623) * (-1136.566) (-1212.682) [-1120.344] (-1123.145) -- 0:01:31
822000 -- (-1194.622) (-1123.661) [-1143.734] (-1133.021) * (-1147.156) (-1189.420) [-1127.112] (-1128.900) -- 0:01:30
823000 -- (-1183.070) (-1126.414) (-1139.182) [-1120.952] * (-1136.958) (-1215.324) [-1128.637] (-1125.594) -- 0:01:30
824000 -- (-1184.789) (-1122.805) (-1138.730) [-1119.787] * [-1114.903] (-1185.657) (-1132.329) (-1132.746) -- 0:01:29
825000 -- (-1188.324) (-1139.086) (-1131.121) [-1122.280] * (-1130.507) (-1194.059) (-1137.196) [-1129.764] -- 0:01:29
Average standard deviation of split frequencies: 0.008858
826000 -- (-1190.763) (-1138.305) [-1129.255] (-1132.400) * [-1118.160] (-1199.154) (-1129.795) (-1139.467) -- 0:01:28
827000 -- (-1186.094) [-1126.947] (-1126.626) (-1126.930) * (-1128.894) (-1198.591) [-1118.283] (-1136.957) -- 0:01:28
828000 -- (-1184.354) [-1119.285] (-1124.141) (-1150.233) * [-1125.863] (-1199.333) (-1115.990) (-1126.131) -- 0:01:27
829000 -- (-1189.851) (-1125.560) [-1123.343] (-1152.316) * (-1135.338) (-1207.963) [-1125.341] (-1134.061) -- 0:01:27
830000 -- (-1175.156) (-1118.011) [-1115.874] (-1140.039) * [-1128.700] (-1204.363) (-1134.977) (-1119.003) -- 0:01:26
Average standard deviation of split frequencies: 0.008652
831000 -- (-1184.791) [-1114.424] (-1140.588) (-1144.484) * (-1132.859) (-1202.986) (-1139.561) [-1117.188] -- 0:01:26
832000 -- (-1179.076) (-1135.093) (-1134.619) [-1147.088] * [-1119.479] (-1191.843) (-1126.031) (-1123.090) -- 0:01:25
833000 -- (-1178.220) (-1128.607) [-1131.061] (-1136.710) * (-1126.031) (-1192.496) [-1132.220] (-1126.887) -- 0:01:25
834000 -- (-1180.882) (-1139.319) (-1129.430) [-1126.962] * (-1132.433) (-1198.313) (-1126.007) [-1122.560] -- 0:01:24
835000 -- (-1173.892) (-1138.481) (-1133.246) [-1111.018] * (-1121.360) (-1197.200) (-1134.698) [-1128.448] -- 0:01:24
Average standard deviation of split frequencies: 0.008521
836000 -- (-1196.972) [-1119.988] (-1130.170) (-1137.366) * (-1124.566) (-1201.976) [-1124.715] (-1124.674) -- 0:01:23
837000 -- (-1201.193) [-1123.661] (-1134.639) (-1140.942) * (-1138.773) (-1204.668) [-1126.412] (-1124.020) -- 0:01:23
838000 -- (-1172.418) (-1128.099) [-1127.805] (-1128.750) * (-1138.962) (-1191.912) (-1134.567) [-1123.813] -- 0:01:22
839000 -- (-1184.689) [-1129.236] (-1130.623) (-1126.240) * (-1121.918) (-1201.484) [-1122.338] (-1142.779) -- 0:01:22
840000 -- (-1183.790) (-1132.696) (-1125.889) [-1127.575] * [-1122.238] (-1185.245) (-1127.228) (-1125.156) -- 0:01:21
Average standard deviation of split frequencies: 0.008719
841000 -- (-1198.708) (-1121.576) (-1138.240) [-1132.969] * (-1134.128) (-1198.512) (-1123.487) [-1129.488] -- 0:01:21
842000 -- (-1186.072) (-1139.700) (-1141.153) [-1127.092] * (-1146.876) (-1196.139) [-1120.565] (-1128.291) -- 0:01:20
843000 -- (-1194.282) (-1130.523) [-1136.000] (-1126.344) * (-1145.024) (-1194.581) [-1123.213] (-1132.411) -- 0:01:20
844000 -- (-1188.487) [-1127.875] (-1133.857) (-1121.752) * (-1121.491) (-1201.048) (-1128.477) [-1132.479] -- 0:01:19
845000 -- (-1179.765) [-1123.503] (-1128.833) (-1137.476) * [-1117.937] (-1210.502) (-1134.171) (-1137.598) -- 0:01:19
Average standard deviation of split frequencies: 0.008587
846000 -- (-1178.182) [-1124.884] (-1135.478) (-1129.893) * [-1128.594] (-1190.375) (-1130.008) (-1133.865) -- 0:01:18
847000 -- (-1184.082) (-1126.269) [-1124.994] (-1141.735) * (-1134.865) (-1192.519) [-1126.715] (-1132.171) -- 0:01:18
848000 -- (-1196.030) (-1131.643) [-1119.076] (-1150.008) * (-1129.111) (-1196.637) [-1124.635] (-1138.176) -- 0:01:17
849000 -- (-1182.508) (-1138.035) [-1124.110] (-1127.748) * (-1124.458) (-1199.760) [-1127.872] (-1139.971) -- 0:01:17
850000 -- (-1192.122) (-1141.170) (-1135.173) [-1118.884] * (-1137.229) (-1199.235) [-1130.618] (-1133.695) -- 0:01:16
Average standard deviation of split frequencies: 0.008343
851000 -- (-1185.907) (-1132.230) (-1142.042) [-1124.734] * [-1120.206] (-1197.516) (-1123.709) (-1130.607) -- 0:01:16
852000 -- (-1179.119) (-1139.307) (-1160.125) [-1129.419] * (-1129.387) (-1205.456) [-1123.518] (-1133.921) -- 0:01:15
853000 -- (-1173.542) (-1126.674) (-1138.013) [-1123.643] * (-1140.919) (-1190.926) (-1131.351) [-1124.392] -- 0:01:15
854000 -- (-1188.707) (-1126.093) (-1139.608) [-1129.142] * (-1118.497) (-1209.141) [-1122.525] (-1134.394) -- 0:01:14
855000 -- (-1195.604) (-1133.261) (-1129.331) [-1125.048] * [-1122.085] (-1201.537) (-1122.245) (-1133.143) -- 0:01:14
Average standard deviation of split frequencies: 0.008175
856000 -- (-1185.245) [-1124.594] (-1120.051) (-1127.447) * (-1133.885) (-1198.218) (-1132.477) [-1143.594] -- 0:01:13
857000 -- (-1188.675) [-1128.238] (-1126.301) (-1129.677) * (-1133.279) (-1218.723) [-1121.037] (-1133.846) -- 0:01:13
858000 -- (-1186.001) (-1144.113) (-1121.484) [-1132.720] * (-1123.669) (-1217.590) [-1136.158] (-1134.942) -- 0:01:12
859000 -- (-1189.942) (-1138.581) (-1123.913) [-1129.693] * (-1125.826) (-1218.110) (-1123.345) [-1119.525] -- 0:01:12
860000 -- (-1190.930) (-1145.277) (-1123.132) [-1119.755] * (-1125.410) (-1191.339) [-1132.135] (-1146.571) -- 0:01:11
Average standard deviation of split frequencies: 0.008208
861000 -- (-1194.225) (-1129.500) (-1137.429) [-1123.781] * [-1130.486] (-1192.644) (-1143.018) (-1132.471) -- 0:01:11
862000 -- (-1197.396) (-1136.393) (-1126.481) [-1115.850] * (-1142.138) (-1201.468) [-1124.293] (-1133.482) -- 0:01:10
863000 -- (-1192.771) (-1132.719) (-1134.656) [-1128.585] * (-1129.428) (-1199.527) (-1131.228) [-1122.861] -- 0:01:10
864000 -- (-1186.394) (-1121.989) (-1146.296) [-1129.460] * (-1128.433) (-1202.486) (-1129.913) [-1133.565] -- 0:01:09
865000 -- (-1194.448) (-1128.020) (-1127.942) [-1130.855] * [-1120.447] (-1188.781) (-1115.476) (-1137.823) -- 0:01:08
Average standard deviation of split frequencies: 0.008068
866000 -- (-1172.997) [-1129.297] (-1148.815) (-1131.106) * (-1130.661) (-1190.810) [-1130.666] (-1134.388) -- 0:01:08
867000 -- (-1186.091) (-1129.703) [-1127.598] (-1134.394) * (-1135.221) (-1196.109) [-1126.062] (-1125.645) -- 0:01:07
868000 -- (-1175.362) (-1130.551) (-1129.989) [-1119.908] * (-1135.241) (-1193.845) [-1119.721] (-1136.315) -- 0:01:07
869000 -- (-1185.232) [-1127.375] (-1135.798) (-1121.947) * (-1123.808) (-1202.795) [-1124.230] (-1142.588) -- 0:01:06
870000 -- (-1178.514) (-1140.159) (-1125.840) [-1126.338] * (-1117.766) (-1209.566) (-1128.645) [-1123.822] -- 0:01:06
Average standard deviation of split frequencies: 0.007986
871000 -- (-1183.424) (-1119.714) [-1126.920] (-1143.715) * [-1128.390] (-1215.902) (-1141.958) (-1122.878) -- 0:01:05
872000 -- (-1186.302) (-1122.543) [-1118.188] (-1128.261) * (-1129.816) (-1219.578) (-1118.177) [-1121.589] -- 0:01:05
873000 -- (-1174.703) (-1136.937) (-1134.661) [-1119.793] * (-1125.201) (-1203.974) (-1132.882) [-1128.009] -- 0:01:04
874000 -- (-1181.598) (-1140.496) (-1129.631) [-1122.545] * [-1120.409] (-1209.542) (-1137.661) (-1127.767) -- 0:01:04
875000 -- (-1186.791) (-1137.914) (-1135.251) [-1133.237] * [-1130.264] (-1203.654) (-1134.773) (-1146.368) -- 0:01:03
Average standard deviation of split frequencies: 0.007915
876000 -- (-1179.311) (-1126.952) (-1140.801) [-1118.896] * (-1134.742) (-1203.430) (-1145.844) [-1125.225] -- 0:01:03
877000 -- (-1201.200) (-1128.737) [-1125.372] (-1133.921) * (-1126.591) (-1201.145) [-1126.691] (-1135.362) -- 0:01:02
878000 -- (-1183.634) (-1125.607) (-1149.186) [-1126.961] * (-1135.966) (-1200.753) (-1133.317) [-1127.687] -- 0:01:02
879000 -- (-1190.862) [-1126.072] (-1146.325) (-1133.006) * [-1124.584] (-1206.143) (-1146.489) (-1137.139) -- 0:01:01
880000 -- (-1190.761) (-1132.760) [-1138.377] (-1133.826) * (-1124.835) (-1203.923) (-1123.220) [-1129.870] -- 0:01:01
Average standard deviation of split frequencies: 0.007955
881000 -- (-1183.763) (-1138.971) (-1128.563) [-1133.149] * (-1134.871) (-1191.535) [-1114.261] (-1116.681) -- 0:01:00
882000 -- (-1189.527) (-1138.514) [-1114.839] (-1123.498) * (-1129.170) (-1192.367) [-1120.928] (-1129.165) -- 0:01:00
883000 -- (-1195.635) (-1144.843) (-1128.832) [-1116.107] * (-1135.595) (-1200.784) [-1130.585] (-1120.300) -- 0:00:59
884000 -- (-1186.975) (-1125.813) [-1127.698] (-1132.745) * [-1132.551] (-1203.756) (-1118.449) (-1140.426) -- 0:00:59
885000 -- (-1189.691) (-1135.925) (-1125.707) [-1122.775] * [-1129.888] (-1203.242) (-1126.982) (-1144.360) -- 0:00:58
Average standard deviation of split frequencies: 0.007733
886000 -- (-1185.858) (-1141.352) [-1130.432] (-1127.565) * (-1117.697) (-1200.120) [-1112.394] (-1133.671) -- 0:00:58
887000 -- (-1197.674) (-1143.073) (-1132.061) [-1123.216] * (-1125.082) (-1191.103) (-1134.006) [-1120.403] -- 0:00:57
888000 -- (-1184.429) (-1147.865) [-1127.336] (-1126.027) * (-1123.403) (-1200.802) [-1113.809] (-1129.560) -- 0:00:57
889000 -- (-1187.334) [-1126.910] (-1129.017) (-1133.360) * (-1126.347) (-1203.516) (-1133.174) [-1129.686] -- 0:00:56
890000 -- (-1177.041) [-1130.225] (-1134.069) (-1142.333) * (-1132.902) (-1202.882) (-1125.052) [-1125.252] -- 0:00:56
Average standard deviation of split frequencies: 0.008006
891000 -- (-1183.632) (-1123.890) [-1133.662] (-1132.308) * (-1127.994) (-1204.638) [-1125.686] (-1123.198) -- 0:00:55
892000 -- (-1172.791) [-1127.096] (-1131.116) (-1129.054) * [-1124.627] (-1198.898) (-1132.367) (-1125.276) -- 0:00:55
893000 -- (-1197.670) (-1140.732) [-1134.342] (-1130.515) * (-1138.146) (-1207.547) [-1119.128] (-1131.546) -- 0:00:54
894000 -- (-1190.592) [-1125.453] (-1134.449) (-1126.118) * [-1126.860] (-1197.335) (-1136.434) (-1144.494) -- 0:00:54
895000 -- (-1183.207) (-1130.589) (-1129.823) [-1132.809] * (-1121.867) (-1201.723) [-1128.286] (-1140.453) -- 0:00:53
Average standard deviation of split frequencies: 0.007922
896000 -- (-1179.527) [-1128.023] (-1130.707) (-1125.077) * (-1141.170) (-1201.814) [-1128.475] (-1130.267) -- 0:00:53
897000 -- (-1181.628) (-1130.915) [-1124.966] (-1134.343) * (-1138.617) (-1210.385) [-1123.899] (-1127.171) -- 0:00:52
898000 -- (-1190.462) (-1124.160) [-1124.795] (-1126.571) * [-1128.045] (-1197.448) (-1134.835) (-1145.021) -- 0:00:52
899000 -- (-1196.864) (-1133.739) (-1139.569) [-1130.920] * [-1123.750] (-1198.967) (-1134.782) (-1138.953) -- 0:00:51
900000 -- (-1182.940) [-1123.809] (-1137.713) (-1127.184) * [-1115.429] (-1202.762) (-1143.115) (-1133.702) -- 0:00:51
Average standard deviation of split frequencies: 0.007843
901000 -- (-1196.228) (-1121.643) (-1133.733) [-1132.806] * [-1114.444] (-1225.468) (-1128.840) (-1128.360) -- 0:00:50
902000 -- (-1178.307) [-1121.573] (-1119.795) (-1128.390) * [-1125.651] (-1214.519) (-1124.641) (-1118.846) -- 0:00:50
903000 -- (-1191.381) [-1119.739] (-1123.062) (-1148.785) * (-1130.658) (-1199.290) (-1134.636) [-1127.861] -- 0:00:49
904000 -- (-1190.021) (-1123.516) [-1127.903] (-1129.904) * [-1117.788] (-1204.456) (-1121.931) (-1129.741) -- 0:00:49
905000 -- (-1196.150) (-1131.469) [-1114.983] (-1129.939) * [-1119.593] (-1199.716) (-1139.416) (-1141.602) -- 0:00:48
Average standard deviation of split frequencies: 0.008047
906000 -- (-1183.855) (-1130.233) [-1120.942] (-1125.551) * [-1126.856] (-1201.496) (-1134.218) (-1129.113) -- 0:00:48
907000 -- (-1191.909) [-1125.475] (-1122.910) (-1115.410) * [-1124.667] (-1214.844) (-1126.526) (-1148.304) -- 0:00:47
908000 -- (-1168.602) (-1138.825) [-1119.567] (-1130.605) * (-1122.442) (-1204.292) (-1141.580) [-1121.244] -- 0:00:47
909000 -- (-1184.142) (-1138.380) (-1125.454) [-1124.864] * [-1131.700] (-1204.364) (-1127.695) (-1134.579) -- 0:00:46
910000 -- (-1189.484) [-1132.186] (-1126.669) (-1128.932) * (-1122.402) (-1197.167) (-1139.177) [-1126.784] -- 0:00:45
Average standard deviation of split frequencies: 0.007787
911000 -- (-1189.633) [-1125.093] (-1141.559) (-1149.526) * [-1120.975] (-1204.535) (-1137.648) (-1142.446) -- 0:00:45
912000 -- (-1191.316) [-1128.984] (-1128.001) (-1139.767) * [-1121.635] (-1183.778) (-1142.025) (-1139.250) -- 0:00:44
913000 -- (-1177.316) [-1122.116] (-1128.270) (-1134.754) * (-1131.738) (-1205.638) (-1135.871) [-1131.776] -- 0:00:44
914000 -- (-1176.081) [-1127.399] (-1133.812) (-1139.593) * [-1133.920] (-1194.998) (-1132.898) (-1121.159) -- 0:00:43
915000 -- (-1192.528) [-1124.038] (-1140.652) (-1134.631) * (-1123.478) (-1193.930) [-1124.144] (-1119.470) -- 0:00:43
Average standard deviation of split frequencies: 0.007930
916000 -- (-1192.257) (-1123.245) (-1124.641) [-1116.941] * (-1125.196) (-1196.005) [-1130.476] (-1131.282) -- 0:00:42
917000 -- (-1184.367) [-1129.088] (-1136.892) (-1129.446) * (-1128.324) (-1195.527) (-1129.421) [-1135.827] -- 0:00:42
918000 -- (-1177.227) [-1127.525] (-1131.552) (-1125.136) * (-1120.504) (-1197.202) [-1122.518] (-1126.247) -- 0:00:41
919000 -- (-1179.695) (-1129.761) (-1140.317) [-1128.737] * [-1131.979] (-1201.816) (-1122.323) (-1129.709) -- 0:00:41
920000 -- (-1204.711) (-1134.767) (-1136.352) [-1125.875] * (-1143.080) (-1201.972) [-1126.805] (-1131.807) -- 0:00:40
Average standard deviation of split frequencies: 0.008222
921000 -- (-1197.154) (-1130.337) (-1141.860) [-1121.790] * (-1138.291) (-1198.325) [-1122.469] (-1134.899) -- 0:00:40
922000 -- (-1179.676) (-1130.172) [-1119.674] (-1126.546) * [-1119.588] (-1203.368) (-1131.924) (-1134.351) -- 0:00:39
923000 -- (-1187.817) (-1136.854) (-1128.509) [-1123.835] * [-1128.358] (-1209.140) (-1128.470) (-1133.073) -- 0:00:39
924000 -- (-1186.150) (-1130.723) [-1129.252] (-1131.968) * (-1122.137) (-1201.690) [-1115.249] (-1133.329) -- 0:00:38
925000 -- (-1186.612) [-1131.484] (-1128.857) (-1133.460) * (-1127.354) (-1195.036) [-1124.466] (-1122.464) -- 0:00:38
Average standard deviation of split frequencies: 0.008274
926000 -- (-1182.346) (-1123.915) (-1148.289) [-1127.511] * (-1128.099) (-1196.495) [-1124.992] (-1125.692) -- 0:00:37
927000 -- (-1190.501) [-1123.915] (-1126.396) (-1133.307) * (-1126.828) (-1196.726) [-1129.943] (-1136.418) -- 0:00:37
928000 -- (-1193.495) [-1123.918] (-1122.640) (-1125.238) * (-1148.230) (-1202.060) (-1137.766) [-1127.614] -- 0:00:36
929000 -- (-1171.979) (-1123.553) (-1137.052) [-1122.813] * (-1145.666) (-1210.003) (-1152.890) [-1130.642] -- 0:00:36
930000 -- (-1194.335) [-1121.197] (-1128.100) (-1127.107) * (-1124.606) (-1200.249) [-1142.014] (-1124.357) -- 0:00:35
Average standard deviation of split frequencies: 0.008210
931000 -- (-1186.447) (-1129.025) (-1140.414) [-1127.273] * (-1130.258) (-1194.580) [-1121.258] (-1132.959) -- 0:00:35
932000 -- (-1181.461) (-1122.399) (-1143.855) [-1129.093] * (-1129.645) (-1203.075) (-1132.016) [-1121.160] -- 0:00:34
933000 -- (-1190.475) (-1134.559) (-1147.266) [-1118.915] * (-1134.454) (-1210.828) (-1125.337) [-1127.127] -- 0:00:34
934000 -- (-1183.637) [-1137.016] (-1134.353) (-1116.236) * (-1131.803) (-1200.615) (-1124.502) [-1122.835] -- 0:00:33
935000 -- (-1181.043) (-1123.152) [-1121.415] (-1127.434) * (-1122.404) (-1185.682) (-1126.717) [-1122.545] -- 0:00:33
Average standard deviation of split frequencies: 0.008191
936000 -- (-1197.850) (-1122.785) (-1139.551) [-1124.505] * (-1125.103) (-1191.956) [-1128.253] (-1124.914) -- 0:00:32
937000 -- (-1204.350) [-1129.342] (-1136.813) (-1130.483) * (-1125.271) (-1201.144) (-1134.527) [-1122.261] -- 0:00:32
938000 -- (-1194.702) (-1126.032) (-1126.962) [-1118.483] * (-1129.888) (-1190.828) [-1122.386] (-1133.461) -- 0:00:31
939000 -- (-1187.122) [-1124.982] (-1127.134) (-1133.845) * (-1121.487) (-1198.279) [-1124.505] (-1136.586) -- 0:00:31
940000 -- (-1186.649) [-1130.257] (-1132.924) (-1146.968) * (-1130.783) (-1201.885) [-1121.879] (-1132.413) -- 0:00:30
Average standard deviation of split frequencies: 0.007962
941000 -- (-1172.079) [-1132.811] (-1137.119) (-1134.559) * [-1123.890] (-1207.489) (-1133.298) (-1130.775) -- 0:00:30
942000 -- (-1175.158) (-1133.732) [-1130.999] (-1125.241) * [-1129.142] (-1228.916) (-1138.493) (-1126.589) -- 0:00:29
943000 -- (-1184.833) (-1120.725) [-1130.933] (-1125.620) * (-1120.681) (-1209.309) (-1148.450) [-1121.975] -- 0:00:29
944000 -- (-1182.534) [-1121.763] (-1134.958) (-1133.944) * (-1144.966) (-1205.706) (-1151.953) [-1127.902] -- 0:00:28
945000 -- (-1193.568) [-1111.575] (-1148.392) (-1131.614) * (-1146.552) (-1209.800) [-1124.449] (-1128.507) -- 0:00:28
Average standard deviation of split frequencies: 0.007862
946000 -- (-1190.981) [-1116.345] (-1146.047) (-1134.868) * (-1129.382) (-1202.124) [-1123.762] (-1127.116) -- 0:00:27
947000 -- (-1181.128) [-1119.099] (-1124.162) (-1137.114) * (-1123.840) (-1217.287) [-1125.728] (-1137.554) -- 0:00:27
948000 -- (-1192.892) [-1130.102] (-1126.445) (-1128.737) * (-1125.089) (-1198.325) (-1128.248) [-1126.225] -- 0:00:26
949000 -- (-1191.283) [-1120.283] (-1136.398) (-1135.658) * (-1134.104) (-1201.178) (-1126.546) [-1123.550] -- 0:00:26
950000 -- (-1184.914) [-1122.454] (-1128.835) (-1136.264) * [-1123.349] (-1210.272) (-1136.306) (-1128.265) -- 0:00:25
Average standard deviation of split frequencies: 0.007968
951000 -- (-1184.166) (-1124.760) (-1132.762) [-1116.801] * (-1120.605) (-1211.341) [-1125.942] (-1124.096) -- 0:00:25
952000 -- (-1181.023) (-1136.416) (-1131.285) [-1125.243] * (-1143.739) (-1191.877) [-1126.415] (-1135.764) -- 0:00:24
953000 -- (-1180.581) (-1141.449) (-1124.942) [-1125.217] * (-1145.818) (-1203.248) (-1122.166) [-1125.475] -- 0:00:24
954000 -- (-1184.716) (-1137.047) (-1123.040) [-1121.902] * [-1127.568] (-1193.978) (-1126.503) (-1120.360) -- 0:00:23
955000 -- (-1183.446) (-1125.127) (-1132.417) [-1127.226] * [-1120.458] (-1201.678) (-1128.718) (-1122.268) -- 0:00:22
Average standard deviation of split frequencies: 0.008122
956000 -- (-1175.322) (-1139.544) [-1137.960] (-1130.652) * (-1130.267) (-1192.327) [-1129.583] (-1132.016) -- 0:00:22
957000 -- (-1192.102) (-1143.306) [-1127.429] (-1135.137) * (-1135.094) (-1203.819) [-1129.100] (-1130.177) -- 0:00:21
958000 -- (-1191.624) (-1138.996) (-1124.248) [-1141.913] * [-1134.103] (-1198.967) (-1132.180) (-1133.240) -- 0:00:21
959000 -- (-1188.575) (-1132.163) [-1127.793] (-1147.465) * (-1133.879) (-1192.916) [-1137.838] (-1124.469) -- 0:00:20
960000 -- (-1191.483) (-1131.006) (-1125.969) [-1122.490] * [-1136.444] (-1200.909) (-1133.731) (-1115.651) -- 0:00:20
Average standard deviation of split frequencies: 0.007803
961000 -- (-1186.974) (-1123.710) [-1126.464] (-1133.690) * (-1127.802) (-1208.889) [-1124.728] (-1129.000) -- 0:00:19
962000 -- (-1194.622) [-1125.179] (-1131.390) (-1124.243) * (-1121.904) (-1189.316) [-1120.414] (-1136.137) -- 0:00:19
963000 -- (-1198.307) (-1130.703) [-1127.108] (-1134.793) * (-1119.922) (-1207.281) [-1144.318] (-1143.911) -- 0:00:18
964000 -- (-1190.684) (-1120.314) [-1121.231] (-1138.251) * [-1127.524] (-1203.500) (-1129.188) (-1136.978) -- 0:00:18
965000 -- (-1191.344) (-1132.170) [-1122.136] (-1133.358) * (-1134.666) (-1202.495) (-1126.219) [-1127.059] -- 0:00:17
Average standard deviation of split frequencies: 0.007955
966000 -- (-1184.680) (-1124.984) (-1122.064) [-1117.736] * (-1126.188) (-1198.966) [-1126.782] (-1131.839) -- 0:00:17
967000 -- (-1191.424) (-1125.748) (-1126.461) [-1130.306] * (-1133.632) (-1193.188) (-1128.500) [-1121.053] -- 0:00:16
968000 -- (-1184.711) (-1136.493) [-1124.434] (-1131.435) * (-1117.905) (-1201.178) [-1122.997] (-1126.717) -- 0:00:16
969000 -- (-1203.088) (-1141.370) (-1133.085) [-1121.768] * (-1136.313) (-1206.756) [-1128.867] (-1134.667) -- 0:00:15
970000 -- (-1184.517) [-1126.274] (-1127.337) (-1141.220) * (-1131.991) (-1201.327) (-1126.892) [-1118.218] -- 0:00:15
Average standard deviation of split frequencies: 0.007884
971000 -- (-1181.371) [-1130.730] (-1130.730) (-1168.775) * [-1124.141] (-1200.389) (-1125.759) (-1135.221) -- 0:00:14
972000 -- (-1191.837) (-1139.614) [-1123.408] (-1132.980) * (-1120.586) (-1209.310) (-1146.107) [-1125.131] -- 0:00:14
973000 -- (-1199.664) (-1124.337) (-1127.134) [-1132.308] * (-1139.333) (-1198.651) [-1124.427] (-1122.049) -- 0:00:13
974000 -- (-1189.328) [-1124.013] (-1121.291) (-1144.106) * (-1136.046) (-1202.392) (-1126.077) [-1124.897] -- 0:00:13
975000 -- (-1194.216) (-1124.669) (-1128.865) [-1122.443] * (-1124.423) (-1197.172) (-1147.310) [-1117.717] -- 0:00:12
Average standard deviation of split frequencies: 0.007701
976000 -- (-1183.219) (-1133.562) (-1136.719) [-1124.148] * [-1122.208] (-1201.476) (-1138.757) (-1139.323) -- 0:00:12
977000 -- (-1202.447) (-1126.790) (-1129.202) [-1123.645] * (-1131.735) (-1197.248) (-1129.867) [-1126.106] -- 0:00:11
978000 -- (-1189.620) (-1136.071) (-1123.133) [-1122.327] * (-1138.458) (-1205.295) (-1127.796) [-1127.990] -- 0:00:11
979000 -- (-1182.132) (-1134.226) [-1130.635] (-1123.318) * (-1140.434) (-1203.064) (-1133.133) [-1123.897] -- 0:00:10
980000 -- (-1191.843) [-1130.878] (-1132.994) (-1139.316) * (-1133.128) (-1199.230) (-1120.994) [-1119.157] -- 0:00:10
Average standard deviation of split frequencies: 0.007515
981000 -- (-1173.888) (-1122.614) [-1124.746] (-1121.646) * (-1141.100) (-1197.549) (-1123.912) [-1120.522] -- 0:00:09
982000 -- (-1183.253) (-1127.620) [-1124.461] (-1121.582) * [-1132.716] (-1197.516) (-1126.019) (-1128.725) -- 0:00:09
983000 -- (-1193.277) [-1122.102] (-1147.934) (-1132.725) * [-1142.316] (-1201.836) (-1145.977) (-1132.594) -- 0:00:08
984000 -- (-1180.365) [-1132.618] (-1139.438) (-1128.489) * (-1144.423) (-1200.307) [-1128.936] (-1142.578) -- 0:00:08
985000 -- (-1203.855) [-1126.353] (-1135.528) (-1150.984) * (-1123.575) (-1198.408) [-1116.368] (-1137.204) -- 0:00:07
Average standard deviation of split frequencies: 0.007676
986000 -- (-1182.161) [-1121.317] (-1127.890) (-1131.226) * (-1119.727) (-1199.656) [-1124.203] (-1140.638) -- 0:00:07
987000 -- (-1178.500) [-1126.022] (-1137.724) (-1131.314) * (-1130.908) (-1209.683) [-1133.850] (-1119.988) -- 0:00:06
988000 -- (-1173.572) [-1133.399] (-1126.024) (-1130.401) * (-1145.737) (-1205.482) (-1132.446) [-1115.886] -- 0:00:06
989000 -- (-1183.684) (-1132.554) (-1131.892) [-1133.497] * (-1129.223) (-1205.243) (-1133.277) [-1121.581] -- 0:00:05
990000 -- (-1182.117) (-1128.139) (-1144.493) [-1129.014] * (-1129.912) (-1199.025) (-1141.465) [-1130.268] -- 0:00:05
Average standard deviation of split frequencies: 0.007428
991000 -- (-1172.971) (-1127.224) (-1139.488) [-1127.778] * [-1127.635] (-1202.643) (-1128.547) (-1136.687) -- 0:00:04
992000 -- (-1182.479) (-1129.635) (-1136.008) [-1124.276] * (-1124.917) (-1197.535) (-1134.338) [-1131.657] -- 0:00:04
993000 -- (-1186.176) (-1127.210) [-1137.846] (-1123.135) * [-1120.794] (-1199.218) (-1151.045) (-1121.787) -- 0:00:03
994000 -- (-1181.073) (-1126.750) (-1138.017) [-1123.606] * [-1128.004] (-1187.759) (-1135.003) (-1127.598) -- 0:00:03
995000 -- (-1185.980) (-1135.567) (-1130.972) [-1121.762] * (-1133.223) (-1200.324) (-1138.772) [-1125.166] -- 0:00:02
Average standard deviation of split frequencies: 0.007670
996000 -- (-1179.358) (-1129.188) (-1125.201) [-1133.194] * [-1130.585] (-1188.444) (-1146.786) (-1134.058) -- 0:00:02
997000 -- (-1189.501) (-1137.337) [-1118.619] (-1141.284) * (-1143.937) (-1188.902) [-1122.121] (-1121.331) -- 0:00:01
998000 -- (-1180.451) [-1121.483] (-1130.035) (-1139.086) * (-1135.322) (-1202.773) (-1124.588) [-1125.351] -- 0:00:01
999000 -- (-1168.958) [-1133.323] (-1123.557) (-1136.695) * [-1132.233] (-1196.480) (-1134.468) (-1133.510) -- 0:00:00
1000000 -- (-1183.727) (-1129.741) [-1120.296] (-1130.504) * (-1137.993) (-1201.425) [-1130.062] (-1131.913) -- 0:00:00
Average standard deviation of split frequencies: 0.007511
Analysis completed in 8 mins 31 seconds
Analysis used 511.10 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -1109.56
Likelihood of best state for "cold" chain of run 2 was -1109.44
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
62.1 % ( 51 %) Dirichlet(Revmat{all})
78.2 % ( 77 %) Slider(Revmat{all})
28.8 % ( 23 %) Dirichlet(Pi{all})
31.3 % ( 23 %) Slider(Pi{all})
78.8 % ( 64 %) Multiplier(Alpha{1,2})
68.3 % ( 48 %) Multiplier(Alpha{3})
77.2 % ( 64 %) Slider(Pinvar{all})
54.2 % ( 46 %) ExtSPR(Tau{all},V{all})
43.5 % ( 46 %) ExtTBR(Tau{all},V{all})
59.1 % ( 58 %) NNI(Tau{all},V{all})
32.3 % ( 39 %) ParsSPR(Tau{all},V{all})
27.5 % ( 35 %) Multiplier(V{all})
73.1 % ( 68 %) Nodeslider(V{all})
26.0 % ( 26 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
61.3 % ( 52 %) Dirichlet(Revmat{all})
76.6 % ( 62 %) Slider(Revmat{all})
30.3 % ( 27 %) Dirichlet(Pi{all})
31.2 % ( 21 %) Slider(Pi{all})
79.6 % ( 52 %) Multiplier(Alpha{1,2})
68.7 % ( 36 %) Multiplier(Alpha{3})
76.3 % ( 57 %) Slider(Pinvar{all})
54.3 % ( 52 %) ExtSPR(Tau{all},V{all})
43.4 % ( 48 %) ExtTBR(Tau{all},V{all})
59.1 % ( 59 %) NNI(Tau{all},V{all})
32.2 % ( 24 %) ParsSPR(Tau{all},V{all})
27.4 % ( 24 %) Multiplier(V{all})
73.3 % ( 73 %) Nodeslider(V{all})
26.2 % ( 20 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.39 0.08 0.00
2 | 166338 0.39 0.00
3 | 167093 166532 0.02
4 | 167212 166660 166165
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.39 0.09 0.00
2 | 166779 0.40 0.01
3 | 166602 166450 0.06
4 | 166386 166866 166917
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)
+------------------------------------------------------------+ -1122.20
| 2 2 |
| 2 |
| 2 2 1 2 |
|1 1 2 1 1 21 |
| 21 1 1 1* 2 2 2 2 22 11 1 |
| * *2 21 1 1 2 1 11 2 * |
| 2 21 1 2 12 1 1 2 1|
| 2 2 * 2 12 12 1 2 2 21 2 22 1 1 *2|
| 1 *11 * 1 1 * 1 2 2 1 1 1 22 |
| 221 2 1 1 2 2 |
|2 1 21 2 1 |
| 2 1 2 1 1 |
| |
| |
| 1 2 1 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -1129.16
^ ^
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 -1116.85 -1140.02
2 -1116.56 -1140.83
--------------------------------------
TOTAL -1116.70 -1140.50
--------------------------------------
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} 0.090463 0.000343 0.057592 0.127518 0.088794 886.17 1011.19 1.001
r(A<->C){all} 0.111071 0.002238 0.032584 0.205609 0.104412 409.29 429.94 1.002
r(A<->G){all} 0.214871 0.003674 0.100463 0.329858 0.208829 225.59 292.12 1.003
r(A<->T){all} 0.045000 0.000586 0.006203 0.091461 0.041046 554.24 604.64 1.000
r(C<->G){all} 0.029768 0.000847 0.000001 0.085042 0.021572 470.21 541.87 1.000
r(C<->T){all} 0.521911 0.006178 0.368449 0.663965 0.521621 355.90 369.08 1.005
r(G<->T){all} 0.077379 0.001165 0.016189 0.144129 0.073164 498.79 566.88 1.000
pi(A){all} 0.315221 0.000332 0.277848 0.349502 0.315495 1079.55 1144.25 1.000
pi(C){all} 0.142706 0.000203 0.114653 0.169773 0.142025 958.08 1009.08 1.000
pi(G){all} 0.218963 0.000267 0.184575 0.249290 0.218856 826.04 926.21 1.001
pi(T){all} 0.323111 0.000346 0.287333 0.359637 0.322657 961.56 962.52 1.000
alpha{1,2} 0.422033 0.344828 0.000508 1.566559 0.223218 918.51 992.53 1.000
alpha{3} 1.425985 1.140152 0.001081 3.478812 1.172092 679.24 757.22 1.001
pinvar{all} 0.568768 0.026425 0.204376 0.812223 0.599870 408.14 542.84 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 -- C212
2 -- C5
3 -- C59
4 -- C4
5 -- C187
6 -- C213
7 -- C262
8 -- C27
9 -- C39
10 -- C51
11 -- C215
12 -- C67
13 -- C278
14 -- C154
15 -- C179
16 -- C182
17 -- C136
18 -- C16
19 -- C192
20 -- C3
21 -- C220
22 -- C223
23 -- C247
24 -- C248
25 -- C251
26 -- C261
27 -- C263
28 -- C73
29 -- C48
30 -- C84
Key to taxon bipartitions (saved to file "/data/mrbayes_input.nex.parts"):
ID -- Partition
-------------------------------------
1 -- .*****************************
2 -- .*............................
3 -- ..*...........................
4 -- ...*..........................
5 -- ....*.........................
6 -- .....*........................
7 -- ......*.......................
8 -- .......*......................
9 -- ........*.....................
10 -- .........*....................
11 -- ..........*...................
12 -- ...........*..................
13 -- ............*.................
14 -- .............*................
15 -- ..............*...............
16 -- ...............*..............
17 -- ................*.............
18 -- .................*............
19 -- ..................*...........
20 -- ...................*..........
21 -- ....................*.........
22 -- .....................*........
23 -- ......................*.......
24 -- .......................*......
25 -- ........................*.....
26 -- .........................*....
27 -- ..........................*...
28 -- ...........................*..
29 -- ............................*.
30 -- .............................*
31 -- .....*....*...................
32 -- .****.*.**...*******........**
33 -- .****.****.*******************
34 -- .......*...**........*******..
35 -- ..............*...*...........
36 -- .......*...**.......********..
37 -- .***..*.**...*..*..*........*.
38 -- .......*..............******..
39 -- .***..*.**...*..**.*........*.
40 -- .**...*.*....*..*.............
41 -- .***..*.**...**.****........**
42 -- .****.*.**...**.****........**
43 -- ..............*...*..........*
44 -- .***..*.**...**.****........*.
45 -- .***..*.**...*..**.*........**
46 -- ....*..........*..............
47 -- .***..*.**...*******........**
48 -- .......*...*..........******..
49 -- .......*....*........*******..
50 -- .......*.............*******..
51 -- ...........**........*........
52 -- ............*........*........
53 -- ...........**.................
54 -- .......*...**.........******..
55 -- .......*....*.........******..
56 -- ...........*.........*........
57 -- .......*...*.........*******..
58 -- .**...*.**...*..*..*........*.
59 -- .***..*.*....*..*..*........*.
60 -- .........*..................*.
61 -- ...................*........*.
62 -- .**...*.**...*..*.............
63 -- .**...*.*....*..*..*..........
64 -- .***..*.*....*..*.............
65 -- .........*.........*..........
66 -- .***..*.**...*..*...........*.
67 -- ...*.....*....................
68 -- ...*.....*.........*........*.
69 -- .***..*.**...*..*..*..........
70 -- ...*...............*..........
71 -- ...*........................*.
72 -- .**...*.*....*..*...........*.
73 -- ......*.*.....................
74 -- .**...........................
75 -- .............*..*.............
76 -- .*......*.....................
77 -- .**...*......*..*.............
78 -- ........*....*................
79 -- ..*..........*................
80 -- .*..............*.............
81 -- ......*.........*.............
82 -- .*....*.......................
83 -- .**...*.*....*................
84 -- .**.....*....*..*.............
85 -- ......*......*................
86 -- ..*.....*.....................
87 -- .*....*.*....*..*.............
88 -- .*...........*................
89 -- ..*...*.......................
90 -- ........*.......*.............
91 -- .**...*.*.......*.............
92 -- .........................**...
93 -- ..*.............*.............
94 -- .......*................*.....
95 -- ..*...*.*....*..*.............
96 -- .......*..............****.*..
97 -- .........................*.*..
98 -- .......................*...*..
99 -- .......*..............*.****..
100 -- .......................*.*....
101 -- ........................**....
-------------------------------------
Summary statistics for informative taxon bipartitions
(saved to file "/data/mrbayes_input.nex.tstat"):
ID #obs Probab. Sd(s)+ Min(s) Max(s) Nruns
-----------------------------------------------------------------
31 3002 1.000000 0.000000 1.000000 1.000000 2
32 3002 1.000000 0.000000 1.000000 1.000000 2
33 3001 0.999667 0.000471 0.999334 1.000000 2
34 2995 0.997668 0.000471 0.997335 0.998001 2
35 2950 0.982678 0.003769 0.980013 0.985343 2
36 2948 0.982012 0.003769 0.979347 0.984677 2
37 2922 0.973351 0.007537 0.968021 0.978681 2
38 2911 0.969687 0.002355 0.968021 0.971352 2
39 2874 0.957362 0.002827 0.955363 0.959360 2
40 2786 0.928048 0.000000 0.928048 0.928048 2
41 2660 0.886076 0.014133 0.876083 0.896069 2
42 1210 0.403065 0.001884 0.401732 0.404397 2
43 990 0.329780 0.000942 0.329114 0.330446 2
44 959 0.319454 0.001413 0.318454 0.320453 2
45 906 0.301799 0.006595 0.297135 0.306462 2
46 904 0.301133 0.004711 0.297801 0.304464 2
47 804 0.267821 0.003769 0.265157 0.270486 2
48 629 0.209527 0.014604 0.199201 0.219853 2
49 615 0.204863 0.020257 0.190540 0.219187 2
50 607 0.202199 0.011777 0.193871 0.210526 2
51 604 0.201199 0.001884 0.199867 0.202532 2
52 602 0.200533 0.015075 0.189873 0.211193 2
53 601 0.200200 0.011777 0.191872 0.208528 2
54 594 0.197868 0.010364 0.190540 0.205197 2
55 588 0.195869 0.016017 0.184544 0.207195 2
56 574 0.191206 0.003769 0.188541 0.193871 2
57 562 0.187209 0.003769 0.184544 0.189873 2
58 445 0.148235 0.007066 0.143238 0.153231 2
59 433 0.144237 0.013662 0.134577 0.153897 2
60 432 0.143904 0.019786 0.129913 0.157895 2
61 429 0.142905 0.003298 0.140573 0.145237 2
62 427 0.142239 0.010835 0.134577 0.149900 2
63 425 0.141572 0.002355 0.139907 0.143238 2
64 425 0.141572 0.011777 0.133245 0.149900 2
65 416 0.138574 0.000000 0.138574 0.138574 2
66 414 0.137908 0.004711 0.134577 0.141239 2
67 413 0.137575 0.012719 0.128581 0.146569 2
68 413 0.137575 0.003298 0.135243 0.139907 2
69 409 0.136243 0.005182 0.132578 0.139907 2
70 409 0.136243 0.004240 0.133245 0.139241 2
71 400 0.133245 0.002827 0.131246 0.135243 2
72 397 0.132245 0.019315 0.118588 0.145903 2
73 387 0.128914 0.013662 0.119254 0.138574 2
74 369 0.122918 0.007066 0.117921 0.127915 2
75 363 0.120919 0.011777 0.112592 0.129247 2
76 351 0.116922 0.009893 0.109927 0.123917 2
77 342 0.113924 0.006595 0.109260 0.118588 2
78 341 0.113591 0.006124 0.109260 0.117921 2
79 333 0.110926 0.009893 0.103931 0.117921 2
80 330 0.109927 0.003769 0.107262 0.112592 2
81 329 0.109594 0.000471 0.109260 0.109927 2
82 327 0.108927 0.006124 0.104597 0.113258 2
83 326 0.108594 0.005653 0.104597 0.112592 2
84 325 0.108261 0.006124 0.103931 0.112592 2
85 322 0.107262 0.002827 0.105263 0.109260 2
86 321 0.106929 0.019315 0.093271 0.120586 2
87 319 0.106262 0.011777 0.097935 0.114590 2
88 318 0.105929 0.001884 0.104597 0.107262 2
89 313 0.104264 0.010835 0.096602 0.111925 2
90 308 0.102598 0.013191 0.093271 0.111925 2
91 308 0.102598 0.000942 0.101932 0.103264 2
92 303 0.100933 0.009893 0.093937 0.107928 2
93 302 0.100600 0.005653 0.096602 0.104597 2
94 299 0.099600 0.005182 0.095936 0.103264 2
95 296 0.098601 0.006595 0.093937 0.103264 2
96 296 0.098601 0.005653 0.094604 0.102598 2
97 294 0.097935 0.003769 0.095270 0.100600 2
98 290 0.096602 0.016017 0.085276 0.107928 2
99 279 0.092938 0.012719 0.083944 0.101932 2
100 278 0.092605 0.015075 0.081945 0.103264 2
101 278 0.092605 0.019786 0.078614 0.106596 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] 0.003167 0.000004 0.000363 0.006868 0.002798 1.001 2
length{all}[2] 0.000897 0.000001 0.000000 0.002783 0.000617 1.000 2
length{all}[3] 0.000876 0.000001 0.000000 0.002641 0.000579 1.000 2
length{all}[4] 0.000910 0.000001 0.000000 0.002745 0.000627 1.000 2
length{all}[5] 0.000881 0.000001 0.000001 0.002681 0.000597 1.002 2
length{all}[6] 0.000868 0.000001 0.000001 0.002558 0.000567 1.000 2
length{all}[7] 0.001757 0.000002 0.000025 0.004311 0.001430 1.000 2
length{all}[8] 0.001751 0.000002 0.000013 0.004318 0.001420 1.000 2
length{all}[9] 0.000906 0.000001 0.000001 0.002729 0.000613 1.000 2
length{all}[10] 0.001836 0.000002 0.000021 0.004520 0.001488 1.000 2
length{all}[11] 0.000877 0.000001 0.000000 0.002727 0.000581 1.000 2
length{all}[12] 0.004254 0.000004 0.000868 0.008204 0.003898 1.000 2
length{all}[13] 0.000850 0.000001 0.000000 0.002614 0.000572 1.002 2
length{all}[14] 0.000877 0.000001 0.000000 0.002627 0.000602 1.000 2
length{all}[15] 0.000907 0.000001 0.000000 0.002698 0.000604 1.000 2
length{all}[16] 0.001641 0.000002 0.000007 0.004134 0.001329 1.000 2
length{all}[17] 0.000886 0.000001 0.000001 0.002719 0.000576 1.000 2
length{all}[18] 0.000936 0.000001 0.000000 0.002883 0.000633 1.000 2
length{all}[19] 0.000893 0.000001 0.000000 0.002714 0.000613 1.000 2
length{all}[20] 0.000885 0.000001 0.000000 0.002734 0.000586 1.000 2
length{all}[21] 0.002608 0.000003 0.000212 0.005845 0.002233 1.002 2
length{all}[22] 0.002588 0.000002 0.000240 0.005528 0.002287 1.001 2
length{all}[23] 0.000854 0.000001 0.000000 0.002549 0.000582 1.000 2
length{all}[24] 0.000864 0.000001 0.000000 0.002573 0.000604 1.000 2
length{all}[25] 0.000863 0.000001 0.000000 0.002620 0.000588 1.000 2
length{all}[26] 0.000854 0.000001 0.000000 0.002648 0.000561 1.000 2
length{all}[27] 0.001711 0.000002 0.000021 0.004197 0.001405 1.000 2
length{all}[28] 0.000845 0.000001 0.000001 0.002575 0.000587 1.000 2
length{all}[29] 0.000875 0.000001 0.000000 0.002770 0.000577 1.000 2
length{all}[30] 0.001766 0.000002 0.000047 0.004304 0.001430 1.000 2
length{all}[31] 0.005712 0.000007 0.001468 0.010817 0.005299 1.002 2
length{all}[32] 0.008722 0.000011 0.003054 0.015461 0.008199 1.000 2
length{all}[33] 0.004387 0.000005 0.000749 0.008687 0.004000 1.000 2
length{all}[34] 0.002640 0.000003 0.000171 0.005769 0.002309 1.000 2
length{all}[35] 0.001792 0.000002 0.000011 0.004337 0.001460 1.000 2
length{all}[36] 0.003374 0.000004 0.000408 0.007629 0.002991 1.001 2
length{all}[37] 0.001851 0.000002 0.000059 0.004326 0.001571 1.000 2
length{all}[38] 0.001745 0.000002 0.000060 0.004206 0.001441 1.001 2
length{all}[39] 0.001850 0.000002 0.000028 0.004564 0.001538 1.000 2
length{all}[40] 0.001779 0.000002 0.000011 0.004477 0.001440 1.000 2
length{all}[41] 0.001754 0.000002 0.000017 0.004364 0.001438 1.000 2
length{all}[42] 0.001216 0.000001 0.000000 0.003628 0.000879 0.999 2
length{all}[43] 0.000997 0.000001 0.000000 0.002973 0.000682 0.999 2
length{all}[44] 0.000955 0.000001 0.000002 0.002949 0.000636 1.004 2
length{all}[45] 0.000918 0.000001 0.000003 0.002805 0.000606 0.999 2
length{all}[46] 0.001008 0.000001 0.000000 0.003047 0.000675 1.000 2
length{all}[47] 0.000951 0.000001 0.000001 0.002950 0.000625 0.999 2
length{all}[48] 0.000920 0.000001 0.000001 0.002821 0.000656 0.999 2
length{all}[49] 0.000859 0.000001 0.000000 0.002683 0.000565 1.003 2
length{all}[50] 0.000822 0.000001 0.000002 0.002590 0.000555 1.014 2
length{all}[51] 0.000847 0.000001 0.000001 0.002606 0.000573 0.999 2
length{all}[52] 0.000783 0.000001 0.000002 0.002505 0.000530 1.001 2
length{all}[53] 0.000847 0.000001 0.000005 0.002702 0.000570 0.999 2
length{all}[54] 0.000861 0.000001 0.000001 0.002450 0.000583 1.002 2
length{all}[55] 0.000843 0.000001 0.000001 0.002520 0.000543 1.000 2
length{all}[56] 0.000907 0.000001 0.000001 0.002854 0.000609 0.998 2
length{all}[57] 0.000787 0.000001 0.000002 0.002641 0.000528 1.001 2
length{all}[58] 0.000935 0.000001 0.000000 0.003023 0.000603 1.005 2
length{all}[59] 0.000935 0.000001 0.000001 0.002679 0.000663 0.998 2
length{all}[60] 0.000883 0.000001 0.000001 0.002536 0.000644 0.998 2
length{all}[61] 0.000953 0.000001 0.000001 0.002959 0.000639 1.001 2
length{all}[62] 0.000860 0.000001 0.000001 0.002350 0.000625 0.998 2
length{all}[63] 0.000935 0.000001 0.000008 0.002660 0.000667 0.998 2
length{all}[64] 0.000938 0.000001 0.000001 0.003013 0.000587 0.999 2
length{all}[65] 0.000926 0.000001 0.000002 0.002665 0.000606 0.998 2
length{all}[66] 0.000900 0.000001 0.000000 0.002641 0.000635 0.998 2
length{all}[67] 0.000912 0.000001 0.000001 0.002580 0.000616 1.002 2
length{all}[68] 0.000980 0.000001 0.000005 0.003158 0.000655 1.000 2
length{all}[69] 0.000885 0.000001 0.000001 0.002590 0.000602 1.013 2
length{all}[70] 0.000963 0.000001 0.000002 0.002761 0.000651 0.998 2
length{all}[71] 0.000833 0.000001 0.000002 0.002428 0.000600 0.998 2
length{all}[72] 0.000877 0.000001 0.000001 0.002608 0.000639 0.998 2
length{all}[73] 0.000875 0.000001 0.000000 0.002506 0.000587 0.999 2
length{all}[74] 0.000855 0.000001 0.000001 0.002553 0.000534 0.998 2
length{all}[75] 0.000922 0.000001 0.000001 0.002860 0.000641 1.007 2
length{all}[76] 0.000943 0.000001 0.000002 0.002671 0.000615 1.018 2
length{all}[77] 0.000924 0.000001 0.000001 0.002878 0.000627 1.000 2
length{all}[78] 0.000924 0.000001 0.000000 0.002570 0.000626 0.997 2
length{all}[79] 0.000905 0.000001 0.000004 0.002573 0.000589 0.997 2
length{all}[80] 0.000865 0.000001 0.000001 0.002674 0.000588 1.018 2
length{all}[81] 0.000819 0.000001 0.000005 0.002283 0.000538 0.998 2
length{all}[82] 0.000918 0.000001 0.000001 0.002965 0.000595 1.000 2
length{all}[83] 0.000947 0.000001 0.000008 0.002800 0.000603 0.999 2
length{all}[84] 0.000978 0.000001 0.000002 0.002806 0.000680 1.001 2
length{all}[85] 0.000863 0.000001 0.000000 0.002590 0.000617 1.005 2
length{all}[86] 0.000934 0.000001 0.000005 0.002783 0.000652 0.997 2
length{all}[87] 0.000958 0.000001 0.000001 0.002787 0.000661 0.998 2
length{all}[88] 0.000933 0.000001 0.000002 0.002940 0.000592 1.000 2
length{all}[89] 0.000842 0.000001 0.000003 0.002419 0.000589 0.999 2
length{all}[90] 0.000881 0.000001 0.000000 0.002536 0.000643 0.998 2
length{all}[91] 0.000861 0.000001 0.000003 0.002635 0.000611 0.998 2
length{all}[92] 0.000911 0.000001 0.000005 0.002803 0.000618 0.997 2
length{all}[93] 0.001016 0.000001 0.000001 0.003075 0.000659 1.005 2
length{all}[94] 0.000798 0.000001 0.000004 0.002542 0.000541 0.998 2
length{all}[95] 0.000966 0.000001 0.000004 0.002932 0.000648 1.000 2
length{all}[96] 0.001004 0.000001 0.000008 0.002995 0.000696 0.998 2
length{all}[97] 0.000880 0.000001 0.000001 0.002695 0.000587 0.997 2
length{all}[98] 0.000933 0.000001 0.000006 0.003103 0.000584 0.997 2
length{all}[99] 0.000988 0.000001 0.000001 0.003086 0.000652 1.009 2
length{all}[100] 0.000852 0.000001 0.000002 0.002344 0.000660 0.998 2
length{all}[101] 0.000824 0.000001 0.000005 0.002428 0.000633 0.998 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 = 0.007511
Maximum standard deviation of split frequencies = 0.020257
Average PSRF for parameter values (excluding NA and >10.0) = 1.000
Maximum PSRF for parameter values = 1.018
Clade credibility values:
/--------------------------------------------------------------------- C212 (1)
|
| /---------- C213 (6)
|----------------------------100---------------------------+
| \---------- C215 (11)
|
| /---------- C5 (2)
| |
| |---------- C59 (3)
| |
| |---------- C262 (7)
| /----93---+
| | |---------- C39 (9)
| | |
| | |---------- C154 (14)
| | |
| | \---------- C136 (17)
| |
| /----97---+-------------------- C4 (4)
| | |
| | |-------------------- C51 (10)
| | |
+ /---96---+ |-------------------- C3 (20)
| | | |
| | | \-------------------- C48 (29)
| | |
| | \------------------------------ C16 (18)
| /----89---+
| | | /---------- C179 (15)
| | |-------------98-------------+
| | | \---------- C192 (19)
| | |
| /---100---+ \--------------------------------------- C84 (30)
| | |
| | |------------------------------------------------- C187 (5)
| | |
| | \------------------------------------------------- C182 (16)
| |
| | /---------- C27 (8)
| | |
| | |---------- C247 (23)
| | |
| | |---------- C248 (24)
\---100---+ |
| /----97---+---------- C251 (25)
| | |
| | |---------- C261 (26)
| | |
| | |---------- C263 (27)
| | |
| /---100---+ \---------- C73 (28)
| | |
| | |-------------------- C67 (12)
| | |
\-------------98-------------+ |-------------------- C278 (13)
| |
| \-------------------- C223 (22)
|
\------------------------------ C220 (21)
Phylogram (based on average branch lengths):
/---------- C212 (1)
|
| /-- C213 (6)
|------------------+
| \-- C215 (11)
|
| /-- C5 (2)
| |
| |-- C59 (3)
| |
| |----- C262 (7)
| /----+
| | |-- C39 (9)
| | |
| | |-- C154 (14)
| | |
| | \-- C136 (17)
| |
| /-----+-- C4 (4)
| | |
| | |----- C51 (10)
| | |
+ /----+ |-- C3 (20)
| | | |
| | | \-- C48 (29)
| | |
| | \-- C16 (18)
| /----+
| | | /-- C179 (15)
| | |----+
| | | \-- C192 (19)
| | |
| /-----------------------------+ \----- C84 (30)
| | |
| | |-- C187 (5)
| | |
| | \---- C182 (16)
| |
| | /----- C27 (8)
| | |
| | |-- C247 (23)
| | |
| | |-- C248 (24)
\-------------+ |
| /----+-- C251 (25)
| | |
| | |-- C261 (26)
| | |
| | |----- C263 (27)
| | |
| /-------+ \-- C73 (28)
| | |
| | |-------------- C67 (12)
| | |
\----------+ |-- C278 (13)
| |
| \-------- C223 (22)
|
\-------- C220 (21)
|----------------| 0.005 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 14:40:18 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp5_VIPR_ALG4_QEY10630_1_11976_12566_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result--
-- Starting log on Sat Nov 19 11:48:10 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp5_VIPR_ALG4_QEY10630_1_11976_12566_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/codeml,DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp5_VIPR_ALG4_QEY10630_1_11976_12566_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 C154 591 sites
reading seq# 2 C182 591 sites
reading seq# 3 C179 591 sites
reading seq# 4 C215 591 sites
reading seq# 5 C16 591 sites
reading seq# 6 C136 591 sites
reading seq# 7 C192 591 sites
reading seq# 8 C278 591 sites
reading seq# 9 C73 591 sites
reading seq#10 C3 591 sites
reading seq#11 C5 591 sites
reading seq#12 C212 591 sites
reading seq#13 C59 591 sites
reading seq#14 C220 591 sites
reading seq#15 C223 591 sites
reading seq#16 C187 591 sites
reading seq#17 C4 591 sites
reading seq#18 C213 591 sites
reading seq#19 C248 591 sites
reading seq#20 C247 591 sites
reading seq#21 C27 591 sites
reading seq#22 C262 591 sites
reading seq#23 C261 591 sites
reading seq#24 C263 591 sites
reading seq#25 C251 591 sites
reading seq#26 C51 591 sites
reading seq#27 C39 591 sites
reading seq#28 C84 591 sites
reading seq#29 C48 591 sites
reading seq#30 C67 591 sitesns = 30 ls = 591
Reading sequences, sequential format..
Reading seq # 1: C154
Reading seq # 2: C182
Reading seq # 3: C179
Reading seq # 4: C215
Reading seq # 5: C16
Reading seq # 6: C136
Reading seq # 7: C192
Reading seq # 8: C278
Reading seq # 9: C73
Reading seq #10: C3
Reading seq #11: C5
Reading seq #12: C212
Reading seq #13: C59
Reading seq #14: C220
Reading seq #15: C223
Reading seq #16: C187
Reading seq #17: C4
Reading seq #18: C213
Reading seq #19: C248
Reading seq #20: C247
Reading seq #21: C27
Reading seq #22: C262
Reading seq #23: C261
Reading seq #24: C263
Reading seq #25: C251
Reading seq #26: C51
Reading seq #27: C39
Reading seq #28: C84
Reading seq #29: C48
Reading seq #30: C67
Sequences read..
Counting site patterns.. 0:00
Compressing, 76 patterns at 197 / 197 sites (100.0%), 0:00
Collecting fpatt[] & pose[], 76 patterns at 197 / 197 sites (100.0%), 0:00
Counting codons..
3480 bytes for distance
74176 bytes for conP
6688 bytes for fhK
5000000 bytes for space
Model 1: NearlyNeutral
TREE # 1
(12, (18, 4), ((((((11, 13, 22, 27, 1, 6), 17, 26, 10, 29), 5), (3, 7), 28), 16, 2), (((21, 20, 19, 25, 23, 24, 9), 30, 8, 15), 14))); MP score: 45
445056 bytes for conP, adjusted
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
34
0.044066 0.092717 0.090851 0.075867 0.107731 0.018761 0.017701 0.091249 0.104084 0.012329 0.079640 0.065243 0.069334 0.031483 0.092131 0.047649 0.071969 0.053063 0.095860 0.068605 0.086605 0.072147 0.037559 0.106939 0.086092 0.020160 0.049573 0.073269 0.031570 0.037571 0.095330 0.081285 0.015166 0.012120 0.022930 0.055655 0.085010 0.068510 0.044015 0.099986 0.057267 0.300000 0.742003 0.200654
ntime & nrate & np: 41 2 44
Bounds (np=44):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.000010 0.000001
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 0.999990 1.000000
Qfactor_NS = 13.478032
np = 44
lnL0 = -1354.941221
Iterating by ming2
Initial: fx= 1354.941221
x= 0.04407 0.09272 0.09085 0.07587 0.10773 0.01876 0.01770 0.09125 0.10408 0.01233 0.07964 0.06524 0.06933 0.03148 0.09213 0.04765 0.07197 0.05306 0.09586 0.06860 0.08661 0.07215 0.03756 0.10694 0.08609 0.02016 0.04957 0.07327 0.03157 0.03757 0.09533 0.08129 0.01517 0.01212 0.02293 0.05566 0.08501 0.06851 0.04402 0.09999 0.05727 0.30000 0.74200 0.20065
1 h-m-p 0.0000 0.0001 879.9703 ++ 1285.618401 m 0.0001 49 | 1/44
2 h-m-p 0.0000 0.0000 1943.7314 ++ 1271.657940 m 0.0000 96 | 2/44
3 h-m-p 0.0000 0.0000 1128.8537 +CYYCYCYC 1259.828069 7 0.0000 155 | 2/44
4 h-m-p 0.0000 0.0000 2366.1476 ++ 1256.434561 m 0.0000 202 | 3/44
5 h-m-p 0.0000 0.0000 635.4399 ++ 1251.531001 m 0.0000 249 | 4/44
6 h-m-p 0.0000 0.0000 1691.6023 ++ 1239.378970 m 0.0000 296 | 5/44
7 h-m-p 0.0000 0.0000 139578.4557 ++ 1232.051803 m 0.0000 343 | 6/44
8 h-m-p 0.0000 0.0000 521.4493 ++ 1226.184211 m 0.0000 390 | 7/44
9 h-m-p 0.0000 0.0000 655.0436 ++ 1220.917189 m 0.0000 437 | 8/44
10 h-m-p 0.0000 0.0001 1079.1615 ++ 1203.813372 m 0.0001 484 | 9/44
11 h-m-p 0.0000 0.0000 485.1202 ++ 1200.170849 m 0.0000 531 | 10/44
12 h-m-p 0.0000 0.0000 3191.3176 ++ 1195.934190 m 0.0000 578 | 11/44
13 h-m-p 0.0000 0.0000 26724.6355 ++ 1193.427838 m 0.0000 625 | 12/44
14 h-m-p 0.0000 0.0000 2405.1523 ++ 1193.103788 m 0.0000 672 | 13/44
15 h-m-p 0.0000 0.0000 2948.1243 ++ 1190.461110 m 0.0000 719 | 14/44
16 h-m-p 0.0000 0.0000 2605.5705 ++ 1187.923741 m 0.0000 766 | 15/44
17 h-m-p 0.0000 0.0000 1148.3603 ++ 1182.387975 m 0.0000 813 | 16/44
18 h-m-p 0.0000 0.0000 1938.3553 ++ 1182.117943 m 0.0000 860 | 17/44
19 h-m-p 0.0000 0.0000 1683.4034 ++ 1179.409809 m 0.0000 907 | 18/44
20 h-m-p 0.0000 0.0000 965.4851 ++ 1178.092126 m 0.0000 954 | 19/44
21 h-m-p 0.0000 0.0000 442.4537 ++ 1174.170010 m 0.0000 1001 | 20/44
22 h-m-p 0.0000 0.0006 254.6323 +++ 1140.506027 m 0.0006 1049 | 20/44
23 h-m-p 0.0000 0.0000 875.4155 +YYYCCC 1138.526851 5 0.0000 1104 | 20/44
24 h-m-p 0.0000 0.0000 508.2532 +YYYYCCC 1136.423635 6 0.0000 1160 | 20/44
25 h-m-p 0.0000 0.0000 500.1132 +YYYYYYYCCC 1133.575789 10 0.0000 1220 | 20/44
26 h-m-p 0.0000 0.0002 333.0151 +YYYYCYCCC 1128.124368 8 0.0001 1279 | 20/44
27 h-m-p 0.0000 0.0002 204.4025 +YYCCCC 1126.554172 5 0.0001 1335 | 20/44
28 h-m-p 0.0000 0.0002 129.2242 YCYCCC 1125.549898 5 0.0001 1390 | 20/44
29 h-m-p 0.0001 0.0008 119.4675 +YCCYC 1119.126847 4 0.0007 1445 | 20/44
30 h-m-p 0.0001 0.0005 178.0714 +YYYCCC 1115.532861 5 0.0003 1500 | 20/44
31 h-m-p 0.0002 0.0012 89.2844 +YYCCCC 1110.814111 5 0.0008 1556 | 20/44
32 h-m-p 0.0003 0.0017 114.4581 +YYCCC 1105.369250 4 0.0011 1610 | 20/44
33 h-m-p 0.0000 0.0002 630.7718 YCCCC 1104.139805 4 0.0001 1664 | 20/44
34 h-m-p 0.0020 0.0126 20.6685 +YCYCCC 1094.947463 5 0.0094 1721 | 20/44
35 h-m-p 0.0002 0.0012 33.4719 +YYYYYYYYYC 1092.412402 9 0.0009 1778 | 20/44
36 h-m-p 0.0036 0.0179 6.0287 +YYCCCC 1089.088603 5 0.0116 1834 | 20/44
37 h-m-p 0.0056 0.0279 2.9825 YCYCCC 1086.241603 5 0.0137 1889 | 20/44
38 h-m-p 0.0019 0.0095 6.0917 +YYYYCCC 1083.980853 6 0.0072 1945 | 20/44
39 h-m-p 0.0036 0.0182 7.0953 +YYYCCC 1078.961837 5 0.0137 2000 | 20/44
40 h-m-p 0.0009 0.0046 45.4119 +YYYCCC 1073.637370 5 0.0034 2055 | 20/44
41 h-m-p 0.0121 0.0607 0.4046 +YYYYYC 1071.164941 5 0.0475 2108 | 20/44
42 h-m-p 0.0052 0.0445 3.6794 +CCYCC 1060.175512 4 0.0345 2188 | 20/44
43 h-m-p 0.0049 0.0243 1.8442 ++ 1055.733864 m 0.0243 2235 | 21/44
44 h-m-p 0.0758 0.3841 0.4699 YCCCCC 1052.078460 5 0.1565 2291 | 20/44
45 h-m-p 0.0003 0.0014 99.0053 CYCC 1051.678766 3 0.0002 2366 | 20/44
46 h-m-p 0.0452 0.2613 0.5313 ++ 1048.550004 m 0.2613 2413 | 21/44
47 h-m-p 0.0410 0.2052 0.4045 +YYCCCC 1045.895535 5 0.1295 2493 | 21/44
48 h-m-p 0.1805 0.9024 0.1324 YCCCC 1043.819713 4 0.4507 2570 | 20/44
49 h-m-p 0.0005 0.0025 43.6632 YCCC 1043.690171 3 0.0002 2645 | 20/44
50 h-m-p 0.0159 0.2968 0.5829 +YCYCCC 1042.523878 5 0.1590 2701 | 20/44
51 h-m-p 0.1398 0.6988 0.4611 CCCC 1041.514431 3 0.2312 2778 | 20/44
52 h-m-p 0.1982 0.9909 0.4772 +YCCCC 1039.161420 4 0.6220 2857 | 20/44
53 h-m-p 0.1574 0.7871 0.4014 YCYCCC 1038.138060 5 0.3790 2936 | 20/44
54 h-m-p 0.2645 1.3226 0.5665 YCCC 1036.900518 3 0.5200 3012 | 20/44
55 h-m-p 0.4574 2.2869 0.3291 YCYCCC 1035.580973 5 1.1833 3091 | 20/44
56 h-m-p 0.6884 3.4419 0.2992 CC 1034.917602 1 0.9030 3164 | 20/44
57 h-m-p 1.2173 6.0863 0.2083 YCCC 1034.273722 3 2.0221 3240 | 20/44
58 h-m-p 1.0293 5.1465 0.2851 CCCC 1033.883072 3 1.6335 3317 | 20/44
59 h-m-p 1.1521 6.4696 0.4043 CCC 1033.591413 2 0.9893 3392 | 20/44
60 h-m-p 1.6000 8.0000 0.2127 YCCC 1033.411459 3 1.0645 3468 | 20/44
61 h-m-p 1.3042 8.0000 0.1736 YCC 1033.289241 2 1.0819 3542 | 20/44
62 h-m-p 1.6000 8.0000 0.0419 CCC 1033.235622 2 1.8629 3617 | 20/44
63 h-m-p 1.6000 8.0000 0.0241 CCC 1033.203256 2 1.8809 3692 | 20/44
64 h-m-p 1.6000 8.0000 0.0155 CCC 1033.174599 2 2.2369 3767 | 20/44
65 h-m-p 0.9255 8.0000 0.0374 +YC 1033.124133 1 2.8028 3840 | 20/44
66 h-m-p 1.6000 8.0000 0.0385 YCCC 1033.073201 3 2.7637 3916 | 20/44
67 h-m-p 1.6000 8.0000 0.0467 +YC 1032.953994 1 4.1534 3989 | 20/44
68 h-m-p 1.6000 8.0000 0.0397 CCC 1032.884075 2 1.6472 4064 | 20/44
69 h-m-p 1.6000 8.0000 0.0061 CC 1032.852059 1 1.8081 4137 | 20/44
70 h-m-p 1.6000 8.0000 0.0027 CY 1032.836235 1 1.5613 4210 | 20/44
71 h-m-p 0.1141 8.0000 0.0367 ++CC 1032.816371 1 2.8119 4285 | 20/44
72 h-m-p 1.5173 8.0000 0.0680 +CC 1032.750780 1 5.7842 4359 | 20/44
73 h-m-p 1.6000 8.0000 0.0627 YCCC 1032.626222 3 3.3270 4435 | 20/44
74 h-m-p 1.6000 8.0000 0.0745 YCCC 1032.417322 3 2.8237 4511 | 20/44
75 h-m-p 1.6000 8.0000 0.0519 YCCC 1032.031461 3 3.2859 4587 | 20/44
76 h-m-p 1.6000 8.0000 0.0407 YCC 1031.544890 2 2.9424 4661 | 20/44
77 h-m-p 1.6000 8.0000 0.0591 YCCC 1031.192398 3 2.9625 4737 | 20/44
78 h-m-p 1.3679 8.0000 0.1280 +YCCC 1030.876344 3 3.3783 4814 | 20/44
79 h-m-p 1.6000 8.0000 0.1440 CCC 1030.731429 2 2.2191 4889 | 20/44
80 h-m-p 1.6000 8.0000 0.1535 CYC 1030.689305 2 1.8056 4963 | 20/44
81 h-m-p 1.6000 8.0000 0.0827 CC 1030.677597 1 1.5401 5036 | 20/44
82 h-m-p 1.6000 8.0000 0.0036 CC 1030.675454 1 1.8030 5109 | 20/44
83 h-m-p 1.6000 8.0000 0.0027 C 1030.675158 0 1.5320 5180 | 20/44
84 h-m-p 1.6000 8.0000 0.0005 Y 1030.675149 0 1.2504 5251 | 20/44
85 h-m-p 1.6000 8.0000 0.0002 C 1030.675148 0 1.5051 5322 | 20/44
86 h-m-p 1.6000 8.0000 0.0000 C 1030.675148 0 1.2836 5393 | 20/44
87 h-m-p 1.6000 8.0000 0.0000 C 1030.675148 0 1.4932 5464 | 20/44
88 h-m-p 0.7710 8.0000 0.0000 +C 1030.675148 0 2.7260 5536 | 20/44
89 h-m-p 1.6000 8.0000 0.0000 --------Y 1030.675148 0 0.0000 5615
Out..
lnL = -1030.675148
5616 lfun, 16848 eigenQcodon, 460512 P(t)
end of tree file.
Time used: 2:18
Model 2: PositiveSelection
TREE # 1
(12, (18, 4), ((((((11, 13, 22, 27, 1, 6), 17, 26, 10, 29), 5), (3, 7), 28), 16, 2), (((21, 20, 19, 25, 23, 24, 9), 30, 8, 15), 14))); MP score: 45
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
34
0.023282 0.094864 0.071340 0.093747 0.098339 0.107608 0.023476 0.096137 0.100506 0.103377 0.033484 0.099304 0.050260 0.095066 0.023140 0.054130 0.058018 0.042996 0.032593 0.091950 0.044646 0.087448 0.076559 0.061726 0.086079 0.101024 0.039478 0.030018 0.105500 0.065522 0.070580 0.035932 0.011519 0.053011 0.014786 0.068242 0.055788 0.065786 0.090385 0.106860 0.058477 4.481502 1.349073 0.547157 0.243411 1.339175
ntime & nrate & np: 41 3 46
Bounds (np=46):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 -99.000000 -99.000000 0.000001 1.000000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 99.000000 99.000000 1.000000 999.000000
Qfactor_NS = 3.512307
np = 46
lnL0 = -1327.271290
Iterating by ming2
Initial: fx= 1327.271290
x= 0.02328 0.09486 0.07134 0.09375 0.09834 0.10761 0.02348 0.09614 0.10051 0.10338 0.03348 0.09930 0.05026 0.09507 0.02314 0.05413 0.05802 0.04300 0.03259 0.09195 0.04465 0.08745 0.07656 0.06173 0.08608 0.10102 0.03948 0.03002 0.10550 0.06552 0.07058 0.03593 0.01152 0.05301 0.01479 0.06824 0.05579 0.06579 0.09038 0.10686 0.05848 4.48150 1.34907 0.54716 0.24341 1.33917
1 h-m-p 0.0000 0.0001 761.9035 ++ 1273.121861 m 0.0001 51 | 1/46
2 h-m-p 0.0000 0.0000 939.2883 ++ 1264.507123 m 0.0000 100 | 2/46
3 h-m-p 0.0000 0.0000 611275.7663 ++ 1243.195887 m 0.0000 149 | 3/46
4 h-m-p 0.0000 0.0001 711.2875 ++ 1222.785860 m 0.0001 198 | 4/46
5 h-m-p 0.0000 0.0000 273.7995 ++ 1221.128531 m 0.0000 247 | 5/46
6 h-m-p 0.0000 0.0000 1607.3423 ++ 1218.079202 m 0.0000 296 | 6/46
7 h-m-p 0.0000 0.0000 8694.7310 ++ 1200.637340 m 0.0000 345 | 7/46
8 h-m-p 0.0000 0.0000 9616.1141 ++ 1192.875975 m 0.0000 394 | 8/46
9 h-m-p 0.0000 0.0000 3034.4568 ++ 1189.393219 m 0.0000 443 | 9/46
10 h-m-p 0.0000 0.0000 5241.8372 ++ 1187.260819 m 0.0000 492 | 10/46
11 h-m-p 0.0000 0.0000 34384.9728 ++ 1182.450309 m 0.0000 541 | 11/46
12 h-m-p 0.0000 0.0000 38312.1701 ++ 1178.242929 m 0.0000 590 | 12/46
13 h-m-p 0.0000 0.0000 16932.2269 ++ 1168.699076 m 0.0000 639 | 13/46
14 h-m-p 0.0000 0.0000 14114.2065 ++ 1163.923180 m 0.0000 688 | 14/46
15 h-m-p 0.0000 0.0000 17329.0762 ++ 1156.664994 m 0.0000 737 | 15/46
16 h-m-p 0.0000 0.0000 9169.8132 ++ 1152.715203 m 0.0000 786 | 16/46
17 h-m-p 0.0000 0.0000 11224.7938 ++ 1151.973716 m 0.0000 835 | 17/46
18 h-m-p 0.0000 0.0000 4470.8376 ++ 1151.345107 m 0.0000 884 | 18/46
19 h-m-p 0.0000 0.0000 1643.0502 ++ 1150.725491 m 0.0000 933 | 19/46
20 h-m-p 0.0000 0.0000 1189.4070 ++ 1149.657052 m 0.0000 982 | 20/46
21 h-m-p 0.0000 0.0006 316.8521 +++ 1106.598564 m 0.0006 1032 | 20/46
22 h-m-p 0.0000 0.0000 1438.4302 YCCCC 1106.211976 4 0.0000 1088 | 20/46
23 h-m-p 0.0000 0.0000 535.6955 +YYCCCC 1105.251849 5 0.0000 1146 | 20/46
24 h-m-p 0.0000 0.0000 953.0827 +YYCCCC 1103.902193 5 0.0000 1204 | 20/46
25 h-m-p 0.0000 0.0000 544.3135 +YYYCCC 1102.288925 5 0.0000 1261 | 20/46
26 h-m-p 0.0000 0.0000 2248.0508 +YYCYYCCC 1095.478048 7 0.0000 1321 | 20/46
27 h-m-p 0.0000 0.0000 1964.5935 +YYYCCC 1092.491283 5 0.0000 1378 | 20/46
28 h-m-p 0.0000 0.0002 238.4441 YCYCCC 1090.882981 5 0.0001 1435 | 20/46
29 h-m-p 0.0001 0.0003 70.8241 YCCCC 1090.145390 4 0.0002 1491 | 20/46
30 h-m-p 0.0001 0.0005 121.3417 +YYYYYC 1086.738771 5 0.0004 1546 | 20/46
31 h-m-p 0.0003 0.0014 134.7357 +YYCCCC 1079.395397 5 0.0009 1604 | 20/46
32 h-m-p 0.0002 0.0009 87.4529 +YYCYCC 1075.399260 5 0.0006 1661 | 20/46
33 h-m-p 0.0003 0.0017 77.7790 +YYYCCC 1070.946347 5 0.0013 1718 | 20/46
34 h-m-p 0.0007 0.0037 61.2083 +YYCCCC 1068.971269 5 0.0022 1776 | 20/46
35 h-m-p 0.0002 0.0011 118.3693 +YYCCCC 1067.835240 5 0.0007 1834 | 20/46
36 h-m-p 0.0001 0.0007 184.7472 ++ 1065.241010 m 0.0007 1883 | 20/46
37 h-m-p -0.0000 -0.0000 458.1055
h-m-p: -0.00000000e+00 -0.00000000e+00 4.58105491e+02 1065.241010
.. | 20/46
38 h-m-p 0.0000 0.0002 16494.0918 YYCYCYC 1061.483866 6 0.0000 1987 | 20/46
39 h-m-p 0.0000 0.0002 388.4171 +YCYYCCC 1051.372544 6 0.0001 2047 | 20/46
40 h-m-p 0.0000 0.0001 463.4364 +YYYCCC 1048.011129 5 0.0000 2104 | 20/46
41 h-m-p 0.0000 0.0001 481.9629 +YYCCC 1045.696117 4 0.0000 2160 | 20/46
42 h-m-p 0.0000 0.0000 1671.8191 YCCCCC 1044.346814 5 0.0000 2218 | 20/46
43 h-m-p 0.0000 0.0001 572.6568 +YCYCCC 1041.301774 5 0.0001 2276 | 20/46
44 h-m-p 0.0000 0.0001 391.1556 ++ 1038.934875 m 0.0001 2325 | 21/46
45 h-m-p 0.0000 0.0001 438.9105 YCYCCC 1036.761645 5 0.0001 2382 | 21/46
46 h-m-p 0.0001 0.0005 26.6164 YYC 1036.728149 2 0.0001 2433 | 21/46
47 h-m-p 0.0000 0.0002 20.5017 +YC 1036.671224 1 0.0002 2484 | 21/46
48 h-m-p 0.0000 0.0000 73.2233 ++ 1036.658033 m 0.0000 2533 | 22/46
49 h-m-p 0.0000 0.0004 161.0796 ++YYYYYC 1036.263823 5 0.0002 2589 | 22/46
50 h-m-p 0.0000 0.0002 729.0628 CCC 1035.892374 2 0.0000 2642 | 22/46
51 h-m-p 0.0001 0.0003 238.3136 CCCC 1035.554658 3 0.0001 2697 | 22/46
52 h-m-p 0.0001 0.0007 250.4282 +YYCC 1034.443084 3 0.0003 2751 | 22/46
53 h-m-p 0.0000 0.0002 776.2713 YCCCC 1033.755933 4 0.0001 2807 | 22/46
54 h-m-p 0.0001 0.0007 40.0965 YC 1033.731165 1 0.0001 2857 | 22/46
55 h-m-p 0.0001 0.0011 20.4596 YC 1033.724095 1 0.0001 2907 | 22/46
56 h-m-p 0.0001 0.0092 14.6667 +CCC 1033.708055 2 0.0003 2961 | 22/46
57 h-m-p 0.0001 0.0011 76.6246 YC 1033.673019 1 0.0001 3011 | 22/46
58 h-m-p 0.0001 0.0024 101.4996 ++YYCCC 1033.176139 4 0.0013 3068 | 22/46
59 h-m-p 0.0000 0.0003 3152.5502 +YCCC 1032.065445 3 0.0001 3123 | 22/46
60 h-m-p 0.0001 0.0003 920.8676 YC 1031.946386 1 0.0000 3173 | 22/46
61 h-m-p 0.3106 1.5528 0.1218 YCCCCC 1031.229756 5 0.6304 3231 | 21/46
62 h-m-p 0.0052 0.0680 14.7152 -CYC 1031.194170 2 0.0003 3308 | 21/46
63 h-m-p 0.0659 2.9443 0.0770 ++YYCC 1030.879604 3 0.7788 3363 | 21/46
64 h-m-p 0.7140 8.0000 0.0840 CCC 1030.770127 2 0.9706 3441 | 20/46
65 h-m-p 0.8110 8.0000 0.1005 YC 1030.715759 1 1.3467 3516 | 20/46
66 h-m-p 0.7647 8.0000 0.1770 +YCC 1030.656215 2 2.1069 3595 | 20/46
67 h-m-p 1.1873 8.0000 0.3140 CCCC 1030.568189 3 1.8486 3676 | 20/46
68 h-m-p 1.6000 8.0000 0.1200 CCC 1030.496633 2 2.3035 3755 | 20/46
69 h-m-p 1.6000 8.0000 0.0871 YC 1030.478996 1 1.2696 3831 | 20/46
70 h-m-p 1.6000 8.0000 0.0494 YC 1030.473949 1 1.2586 3907 | 20/46
71 h-m-p 1.2808 8.0000 0.0485 YC 1030.468446 1 2.8427 3983 | 20/46
72 h-m-p 1.3330 8.0000 0.1035 YC 1030.458178 1 3.2705 4059 | 20/46
73 h-m-p 1.3143 8.0000 0.2576 CCC 1030.443639 2 1.7857 4138 | 20/46
74 h-m-p 1.6000 8.0000 0.1253 C 1030.433384 0 1.6179 4213 | 20/46
75 h-m-p 0.8218 8.0000 0.2466 +YC 1030.421926 1 2.2013 4290 | 20/46
76 h-m-p 1.6000 8.0000 0.1790 CC 1030.415724 1 1.4632 4367 | 20/46
77 h-m-p 1.6000 8.0000 0.0565 YC 1030.415187 1 1.2177 4443 | 20/46
78 h-m-p 1.6000 8.0000 0.0314 Y 1030.415065 0 1.2754 4518 | 20/46
79 h-m-p 1.6000 8.0000 0.0163 C 1030.414925 0 1.3816 4593 | 20/46
80 h-m-p 1.2841 8.0000 0.0175 YC 1030.414595 1 2.9648 4669 | 20/46
81 h-m-p 1.4621 8.0000 0.0356 ++ 1030.412884 m 8.0000 4744 | 20/46
82 h-m-p 1.3519 8.0000 0.2104 YC 1030.409865 1 3.1693 4820 | 20/46
83 h-m-p 1.6000 8.0000 0.1908 CC 1030.408241 1 2.3664 4897 | 20/46
84 h-m-p 1.6000 8.0000 0.2488 C 1030.407554 0 1.7433 4972 | 20/46
85 h-m-p 1.6000 8.0000 0.1444 CC 1030.407038 1 2.4499 5049 | 20/46
86 h-m-p 0.9936 8.0000 0.3561 YC 1030.406425 1 2.2299 5125 | 20/46
87 h-m-p 1.6000 8.0000 0.3033 YC 1030.406160 1 1.1211 5201 | 20/46
88 h-m-p 1.0420 8.0000 0.3264 YC 1030.406029 1 1.9552 5277 | 20/46
89 h-m-p 1.6000 8.0000 0.3573 YC 1030.405917 1 2.4914 5353 | 20/46
90 h-m-p 1.6000 8.0000 0.3999 C 1030.405878 0 1.6000 5428 | 20/46
91 h-m-p 1.6000 8.0000 0.3615 C 1030.405859 0 2.1611 5503 | 20/46
92 h-m-p 1.6000 8.0000 0.3915 C 1030.405847 0 2.0060 5578 | 20/46
93 h-m-p 1.6000 8.0000 0.3506 C 1030.405843 0 2.4754 5653 | 20/46
94 h-m-p 1.6000 8.0000 0.3596 C 1030.405841 0 2.3752 5728 | 20/46
95 h-m-p 1.6000 8.0000 0.3498 C 1030.405840 0 2.3313 5803 | 20/46
96 h-m-p 1.6000 8.0000 0.3702 Y 1030.405840 0 2.6264 5878 | 20/46
97 h-m-p 1.6000 8.0000 0.3364 C 1030.405840 0 1.9270 5953 | 20/46
98 h-m-p 1.6000 8.0000 0.3791 Y 1030.405840 0 3.5764 6028 | 20/46
99 h-m-p 1.6000 8.0000 0.3029 C 1030.405839 0 1.4178 6103 | 20/46
100 h-m-p 1.0683 8.0000 0.4020 +C 1030.405839 0 4.2732 6179 | 20/46
101 h-m-p 1.6000 8.0000 0.2231 C 1030.405839 0 1.5349 6254 | 20/46
102 h-m-p 1.6000 8.0000 0.1280 C 1030.405839 0 1.8969 6329 | 20/46
103 h-m-p 1.4573 8.0000 0.1667 Y 1030.405839 0 3.5503 6404 | 20/46
104 h-m-p 0.2342 8.0000 2.5260 C 1030.405839 0 0.1966 6479 | 20/46
105 h-m-p 0.0144 2.3350 34.4280 Y 1030.405839 0 0.0258 6528 | 20/46
106 h-m-p 0.2752 8.0000 3.2243 +Y 1030.405839 0 0.8607 6578 | 20/46
107 h-m-p 0.2261 6.2504 12.2754 Y 1030.405839 0 0.4449 6627 | 20/46
108 h-m-p 0.2503 3.2658 21.8219 C 1030.405839 0 0.2904 6676 | 20/46
109 h-m-p 0.2101 2.1535 30.1513 Y 1030.405839 0 0.1569 6725 | 20/46
110 h-m-p 0.1816 2.3103 26.0566 Y 1030.405839 0 0.1448 6774 | 20/46
111 h-m-p 0.1669 2.4962 22.6044 Y 1030.405839 0 0.1051 6823 | 20/46
112 h-m-p 0.1207 2.7455 19.6866 Y 1030.405839 0 0.0737 6872 | 20/46
113 h-m-p 0.0652 2.3642 22.2482 -Y 1030.405839 0 0.0082 6922 | 20/46
114 h-m-p 0.0064 1.8418 28.4590 +C 1030.405839 0 0.0255 6972 | 20/46
115 h-m-p 0.0453 3.2256 16.0255 C 1030.405839 0 0.0453 7021 | 20/46
116 h-m-p 0.0421 2.9577 17.2317 --------------.. | 20/46
117 h-m-p 0.0009 0.4396 0.0233 -----Y 1030.405839 0 0.0000 7136 | 20/46
118 h-m-p 0.0010 0.5062 0.0218 --C 1030.405839 0 0.0000 7213 | 20/46
119 h-m-p 0.0160 8.0000 0.0033 ---Y 1030.405839 0 0.0001 7291 | 20/46
120 h-m-p 0.0160 8.0000 0.0017 ---Y 1030.405839 0 0.0001 7369 | 20/46
121 h-m-p 0.0160 8.0000 0.0009 ---C 1030.405839 0 0.0001 7447
Out..
lnL = -1030.405839
7448 lfun, 29792 eigenQcodon, 916104 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) = -1039.368931 S = -1000.623711 -70.057861
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 76 patterns 6:54
did 20 / 76 patterns 6:54
did 30 / 76 patterns 6:54
did 40 / 76 patterns 6:54
did 50 / 76 patterns 6:54
did 60 / 76 patterns 6:55
did 70 / 76 patterns 6:55
did 76 / 76 patterns 6:55end of tree file.
Time used: 6:55
Model 7: beta
TREE # 1
(12, (18, 4), ((((((11, 13, 22, 27, 1, 6), 17, 26, 10, 29), 5), (3, 7), 28), 16, 2), (((21, 20, 19, 25, 23, 24, 9), 30, 8, 15), 14))); MP score: 45
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
34
0.091992 0.031791 0.090189 0.052890 0.063962 0.098776 0.093403 0.100844 0.095422 0.107311 0.078370 0.070739 0.078369 0.060559 0.058362 0.023695 0.023907 0.045954 0.050596 0.030040 0.045666 0.046574 0.049445 0.026136 0.039605 0.086784 0.101504 0.026586 0.089887 0.098103 0.099703 0.015237 0.105521 0.066219 0.088643 0.013439 0.067452 0.095092 0.048359 0.098987 0.040784 4.659488 1.090905 1.886796
ntime & nrate & np: 41 1 44
Bounds (np=44):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.005000 0.005000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 99.000000 99.000000
Qfactor_NS = 4.837322
np = 44
lnL0 = -1354.883326
Iterating by ming2
Initial: fx= 1354.883326
x= 0.09199 0.03179 0.09019 0.05289 0.06396 0.09878 0.09340 0.10084 0.09542 0.10731 0.07837 0.07074 0.07837 0.06056 0.05836 0.02370 0.02391 0.04595 0.05060 0.03004 0.04567 0.04657 0.04944 0.02614 0.03960 0.08678 0.10150 0.02659 0.08989 0.09810 0.09970 0.01524 0.10552 0.06622 0.08864 0.01344 0.06745 0.09509 0.04836 0.09899 0.04078 4.65949 1.09090 1.88680
1 h-m-p 0.0000 0.0001 734.1142 ++ 1291.510959 m 0.0001 49 | 1/44
2 h-m-p 0.0000 0.0000 4624.8889 +YCYYYCYCCC 1283.415486 9 0.0000 110 | 1/44
3 h-m-p 0.0000 0.0001 660.8122 ++ 1267.245320 m 0.0001 157 | 1/44
4 h-m-p 0.0000 0.0000 841.8297 +YYYYCCCCC 1263.698585 8 0.0000 217 | 1/44
5 h-m-p 0.0000 0.0000 1278.0898 +YYCYCC 1260.395537 5 0.0000 272 | 1/44
6 h-m-p 0.0000 0.0000 2027.8405 +YYCYC 1258.260440 4 0.0000 325 | 1/44
7 h-m-p 0.0000 0.0002 1009.7583 ++ 1230.806142 m 0.0002 372 | 2/44
8 h-m-p 0.0000 0.0000 2098.6553 ++ 1229.977704 m 0.0000 419 | 3/44
9 h-m-p 0.0000 0.0000 3301.7661 +CCCCC 1224.196581 4 0.0000 476 | 3/44
10 h-m-p 0.0000 0.0001 794.0166 ++ 1201.252708 m 0.0001 523 | 4/44
11 h-m-p 0.0000 0.0000 3110.2708 ++ 1198.758809 m 0.0000 570 | 5/44
12 h-m-p 0.0000 0.0000 2297584.6259 ++ 1160.664382 m 0.0000 617 | 6/44
13 h-m-p 0.0000 0.0000 5098.2784 ++ 1137.713103 m 0.0000 664 | 7/44
14 h-m-p 0.0000 0.0000 49339.5703 ++ 1136.004761 m 0.0000 711 | 8/44
15 h-m-p 0.0000 0.0000 10948.1659 ++ 1128.763472 m 0.0000 758 | 9/44
16 h-m-p 0.0000 0.0000 18174.5778 ++ 1126.772873 m 0.0000 805 | 10/44
17 h-m-p 0.0000 0.0000 6934.4766 ++ 1120.400330 m 0.0000 852 | 11/44
18 h-m-p 0.0000 0.0000 9842.7715 ++ 1117.023238 m 0.0000 899 | 12/44
19 h-m-p 0.0000 0.0000 7380.0889 ++ 1103.824382 m 0.0000 946 | 13/44
20 h-m-p 0.0000 0.0000 5394.6323 ++ 1100.714938 m 0.0000 993 | 14/44
21 h-m-p 0.0000 0.0000 4393.3862 ++ 1095.999151 m 0.0000 1040 | 15/44
22 h-m-p 0.0000 0.0000 3423.9557 ++ 1089.004382 m 0.0000 1087 | 16/44
23 h-m-p 0.0000 0.0000 2176.7469 ++ 1087.451545 m 0.0000 1134 | 17/44
24 h-m-p 0.0000 0.0001 1277.5671 ++ 1068.608388 m 0.0001 1181 | 18/44
25 h-m-p 0.0000 0.0001 1212.4567 +YYCYYCC 1061.782712 6 0.0000 1238 | 18/44
26 h-m-p 0.0000 0.0000 1218.1309 ++ 1060.520443 m 0.0000 1285 | 19/44
27 h-m-p 0.0000 0.0006 211.4754 ++YCYCCC 1056.773478 5 0.0003 1342 | 19/44
28 h-m-p 0.0000 0.0002 205.7388 +YYCCCC 1053.820260 5 0.0001 1398 | 19/44
29 h-m-p 0.0000 0.0000 329.4401 YCYCCC 1053.319587 5 0.0000 1453 | 19/44
30 h-m-p 0.0001 0.0015 71.3429 ++YCYCCC 1050.651501 5 0.0010 1510 | 19/44
31 h-m-p 0.0000 0.0001 473.7661 ++ 1049.047074 m 0.0001 1557 | 20/44
32 h-m-p 0.0001 0.0004 169.1320 CCCC 1048.709449 3 0.0001 1610 | 20/44
33 h-m-p 0.0007 0.0054 25.5545 CCCC 1048.282984 3 0.0009 1663 | 20/44
34 h-m-p 0.0004 0.0037 62.0667 +CYCCC 1045.487151 4 0.0022 1718 | 20/44
35 h-m-p 0.0005 0.0027 39.7864 CCCC 1044.943200 3 0.0009 1771 | 20/44
36 h-m-p 0.0010 0.0052 15.6108 YCCCC 1044.329866 4 0.0021 1825 | 20/44
37 h-m-p 0.0009 0.0044 14.9908 YCYCCC 1043.725002 5 0.0022 1880 | 20/44
38 h-m-p 0.0007 0.0046 44.4579 YCCCC 1042.539867 4 0.0016 1934 | 20/44
39 h-m-p 0.0026 0.0131 5.8532 CCCC 1042.109414 3 0.0045 1987 | 20/44
40 h-m-p 0.0164 0.1485 1.6213 +CYCCC 1039.512634 4 0.0796 2042 | 20/44
41 h-m-p 0.0779 0.3896 0.5809 YCCCC 1035.689090 4 0.1519 2096 | 20/44
42 h-m-p 0.1139 1.2802 0.7750 +CYCCC 1034.222908 4 0.6609 2175 | 20/44
43 h-m-p 0.2169 1.0844 0.9160 YCCCC 1033.660309 4 0.4138 2253 | 20/44
44 h-m-p 0.4743 2.3713 0.5408 CYCCCC 1032.925987 5 0.7400 2333 | 20/44
45 h-m-p 0.4417 2.2086 0.5898 CCC 1032.507243 2 0.3985 2408 | 20/44
46 h-m-p 0.8661 4.3306 0.1801 YCYCCC 1031.848173 5 1.9120 2487 | 20/44
47 h-m-p 0.2122 1.0608 0.6262 +YYYYCC 1031.337264 5 0.7399 2565 | 20/44
48 h-m-p 0.0484 0.2419 1.2281 CYYYC 1031.173469 4 0.1595 2642 | 20/44
49 h-m-p 0.3334 1.6671 0.1439 YYCCCCC 1031.144352 6 0.0908 2699 | 20/44
50 h-m-p 0.1142 6.9998 0.1145 +YCCC 1031.040258 3 0.9909 2776 | 20/44
51 h-m-p 0.5280 2.6399 0.0818 YCYYYC 1030.975372 5 1.8767 2854 | 20/44
52 h-m-p 0.4219 2.1096 0.0451 YYYYYC 1030.960124 5 0.4219 2930 | 20/44
53 h-m-p 0.0098 0.1704 1.9381 +YC 1030.924060 1 0.0251 3003 | 20/44
54 h-m-p 0.9686 4.8431 0.0115 CYYC 1030.881964 3 2.1635 3055 | 20/44
55 h-m-p 0.3696 8.0000 0.0671 +YCCC 1030.848936 3 0.9692 3132 | 20/44
56 h-m-p 1.5972 8.0000 0.0407 CC 1030.801694 1 2.3007 3205 | 20/44
57 h-m-p 1.1504 5.7520 0.0249 CYCCC 1030.784065 4 1.7734 3283 | 20/44
58 h-m-p 1.0025 5.0123 0.0325 YC 1030.772268 1 2.5034 3355 | 20/44
59 h-m-p 0.0281 0.1405 0.2042 +YCYC 1030.770736 3 0.0806 3431 | 20/44
60 h-m-p 0.0323 0.1615 0.1145 Y 1030.770727 0 0.0052 3502 | 20/44
61 h-m-p 0.0987 8.0000 0.0060 ++CCC 1030.759555 2 2.1450 3579 | 20/44
62 h-m-p 0.1198 0.5989 0.0265 ---------------.. | 20/44
63 h-m-p 0.0000 0.0001 45.6364 YCC 1030.758088 2 0.0000 3737 | 20/44
64 h-m-p 0.0000 0.0002 42.0535 YC 1030.746383 1 0.0000 3785 | 20/44
65 h-m-p 0.0001 0.0035 6.2920 YC 1030.745054 1 0.0001 3833 | 20/44
66 h-m-p 0.0001 0.0100 3.7339 YC 1030.744796 1 0.0000 3881 | 20/44
67 h-m-p 0.0001 0.0152 2.0987 C 1030.744673 0 0.0001 3928 | 20/44
68 h-m-p 0.0002 0.0821 0.7307 YC 1030.744643 1 0.0001 3976 | 20/44
69 h-m-p 0.0001 0.0407 1.1127 Y 1030.744636 0 0.0000 4047 | 20/44
70 h-m-p 0.0004 0.1927 0.2427 C 1030.744633 0 0.0001 4094 | 20/44
71 h-m-p 0.0000 0.0243 1.0645 ---------.. | 20/44
72 h-m-p 0.0001 0.0298 3.2060 --C 1030.744627 0 0.0000 4221 | 20/44
73 h-m-p 0.0001 0.0348 0.2455 Y 1030.744626 0 0.0000 4268 | 20/44
74 h-m-p 0.0000 0.0134 0.8448 --C 1030.744626 0 0.0000 4341 | 20/44
75 h-m-p 0.0008 0.4111 0.0671 Y 1030.744625 0 0.0001 4412 | 20/44
76 h-m-p 0.0019 0.9496 0.0380 -C 1030.744625 0 0.0001 4484 | 20/44
77 h-m-p 0.0122 6.0949 0.0523 --Y 1030.744625 0 0.0001 4557 | 20/44
78 h-m-p 0.0025 1.2324 0.0752 -C 1030.744625 0 0.0002 4629 | 20/44
79 h-m-p 0.0036 1.7993 0.1896 Y 1030.744621 0 0.0021 4700 | 20/44
80 h-m-p 0.0002 0.0999 7.8900 Y 1030.744613 0 0.0001 4771 | 20/44
81 h-m-p 0.0004 0.2147 14.8363 C 1030.744559 0 0.0004 4818 | 20/44
82 h-m-p 0.0001 0.0709 64.6968 +YC 1030.744301 1 0.0004 4867 | 20/44
83 h-m-p 0.0008 0.0348 35.5851 YC 1030.744258 1 0.0001 4915 | 20/44
84 h-m-p 0.0001 0.0279 74.5294 C 1030.744209 0 0.0001 4962 | 20/44
85 h-m-p 0.0007 0.1030 7.5217 -Y 1030.744203 0 0.0001 5010 | 20/44
86 h-m-p 0.0007 0.1679 1.0080 Y 1030.744203 0 0.0001 5057 | 20/44
87 h-m-p 0.0010 0.2977 0.0832 --Y 1030.744203 0 0.0000 5106 | 20/44
88 h-m-p 0.0160 8.0000 0.0052 --Y 1030.744203 0 0.0002 5179 | 20/44
89 h-m-p 0.0116 5.7935 0.0046 --Y 1030.744203 0 0.0003 5252 | 20/44
90 h-m-p 0.0160 8.0000 0.0260 C 1030.744202 0 0.0051 5323 | 20/44
91 h-m-p 0.0084 1.8864 0.0159 --Y 1030.744202 0 0.0001 5396 | 20/44
92 h-m-p 0.0160 8.0000 0.0356 +C 1030.744194 0 0.0709 5468 | 20/44
93 h-m-p 0.0013 0.1130 1.9712 --C 1030.744194 0 0.0000 5541 | 20/44
94 h-m-p 0.0555 8.0000 0.0010 --Y 1030.744194 0 0.0005 5590 | 20/44
95 h-m-p 0.0160 8.0000 0.0194 +C 1030.744193 0 0.0702 5662 | 20/44
96 h-m-p 0.0007 0.1188 1.8631 -Y 1030.744193 0 0.0000 5734 | 20/44
97 h-m-p 0.0284 8.0000 0.0019 C 1030.744193 0 0.0060 5781 | 20/44
98 h-m-p 0.0010 0.4999 0.3432 -C 1030.744193 0 0.0001 5853 | 20/44
99 h-m-p 0.2002 8.0000 0.0001 Y 1030.744193 0 0.0397 5924 | 20/44
100 h-m-p 0.0091 4.5485 0.2361 -Y 1030.744193 0 0.0003 5996 | 20/44
101 h-m-p 1.6000 8.0000 0.0000 -Y 1030.744193 0 0.1765 6068 | 20/44
102 h-m-p 0.1574 8.0000 0.0000 Y 1030.744193 0 0.0668 6139 | 20/44
103 h-m-p 0.0546 8.0000 0.0001 C 1030.744193 0 0.0136 6210 | 20/44
104 h-m-p 0.0160 8.0000 0.0001 Y 1030.744193 0 0.0160 6281 | 20/44
105 h-m-p 0.0160 8.0000 0.0001 Y 1030.744193 0 0.0092 6352 | 20/44
106 h-m-p 0.0160 8.0000 0.0001 -C 1030.744193 0 0.0010 6424 | 20/44
107 h-m-p 0.0160 8.0000 0.0001 -Y 1030.744193 0 0.0010 6496 | 20/44
108 h-m-p 0.0160 8.0000 0.0001 ------------Y 1030.744193 0 0.0000 6579
Out..
lnL = -1030.744193
6580 lfun, 72380 eigenQcodon, 2697800 P(t)
end of tree file.
Time used: 20:35
Model 8: beta&w>1
TREE # 1
(12, (18, 4), ((((((11, 13, 22, 27, 1, 6), 17, 26, 10, 29), 5), (3, 7), 28), 16, 2), (((21, 20, 19, 25, 23, 24, 9), 30, 8, 15), 14))); MP score: 45
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
34
0.024174 0.081827 0.109084 0.041390 0.056416 0.044665 0.053447 0.032362 0.039867 0.066910 0.049895 0.050867 0.051461 0.089356 0.019107 0.108231 0.099841 0.039191 0.106049 0.013040 0.090580 0.081490 0.069966 0.085078 0.056158 0.018642 0.078951 0.085173 0.024122 0.092418 0.020049 0.103160 0.071860 0.018368 0.010823 0.021129 0.091444 0.057226 0.073318 0.044158 0.062960 4.550015 0.900000 1.130098 1.963783 1.300000
ntime & nrate & np: 41 2 46
Bounds (np=46):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.000010 0.005000 0.005000 1.000000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 0.999990 99.000000 99.000000 999.000000
Qfactor_NS = 4.249224
np = 46
lnL0 = -1312.423016
Iterating by ming2
Initial: fx= 1312.423016
x= 0.02417 0.08183 0.10908 0.04139 0.05642 0.04466 0.05345 0.03236 0.03987 0.06691 0.04990 0.05087 0.05146 0.08936 0.01911 0.10823 0.09984 0.03919 0.10605 0.01304 0.09058 0.08149 0.06997 0.08508 0.05616 0.01864 0.07895 0.08517 0.02412 0.09242 0.02005 0.10316 0.07186 0.01837 0.01082 0.02113 0.09144 0.05723 0.07332 0.04416 0.06296 4.55002 0.90000 1.13010 1.96378 1.30000
1 h-m-p 0.0000 0.0001 690.8891 ++ 1270.977087 m 0.0001 51 | 1/46
2 h-m-p 0.0000 0.0000 120202.8935 ++ 1262.860334 m 0.0000 100 | 2/46
3 h-m-p 0.0000 0.0000 29751.2610 ++ 1243.937677 m 0.0000 149 | 3/46
4 h-m-p 0.0000 0.0000 3079.0306 ++ 1242.523739 m 0.0000 198 | 4/46
5 h-m-p 0.0000 0.0000 2323.1745 ++ 1240.903689 m 0.0000 247 | 5/46
6 h-m-p 0.0000 0.0000 4896.5587 ++ 1175.178551 m 0.0000 296 | 5/46
7 h-m-p 0.0000 0.0000 1532.1540
h-m-p: 1.58016719e-18 7.90083595e-18 1.53215400e+03 1175.178551
.. | 5/46
8 h-m-p 0.0000 0.0000 236769.4463 -CYCYCYC 1168.690202 6 0.0000 402 | 5/46
9 h-m-p 0.0000 0.0000 617.6753 ++ 1163.138366 m 0.0000 451 | 6/46
10 h-m-p 0.0000 0.0000 8678.1076 ++ 1145.594358 m 0.0000 500 | 7/46
11 h-m-p 0.0000 0.0000 1963.2673 ++ 1142.734393 m 0.0000 549 | 8/46
12 h-m-p 0.0000 0.0000 5087.5565 +CYCYYCCC 1125.784116 7 0.0000 610 | 8/46
13 h-m-p 0.0000 0.0000 2605.1547 +YYYCCC 1119.106113 5 0.0000 667 | 8/46
14 h-m-p 0.0000 0.0000 3265.0075 +YYYCCCCC 1115.637729 7 0.0000 728 | 8/46
15 h-m-p 0.0000 0.0000 5255.2467 +YYYYYC 1109.472309 5 0.0000 783 | 8/46
16 h-m-p 0.0000 0.0000 22186.5509 +YYYYCC 1107.493107 5 0.0000 839 | 8/46
17 h-m-p 0.0000 0.0000 5890.3710 ++ 1105.662781 m 0.0000 888 | 9/46
18 h-m-p 0.0000 0.0000 5793.1472 ++ 1104.636726 m 0.0000 937 | 10/46
19 h-m-p 0.0000 0.0000 60833.7701 ++ 1101.933093 m 0.0000 986 | 11/46
20 h-m-p 0.0000 0.0000 6572.5414 ++ 1082.848441 m 0.0000 1035 | 12/46
21 h-m-p 0.0000 0.0000 54963.1478 ++ 1078.074841 m 0.0000 1084 | 13/46
22 h-m-p 0.0000 0.0000 23545.0381 ++ 1077.338817 m 0.0000 1133 | 14/46
23 h-m-p 0.0000 0.0000 3271.7109 ++ 1075.509756 m 0.0000 1182 | 15/46
24 h-m-p 0.0000 0.0000 3552.6179 ++ 1069.838235 m 0.0000 1231 | 16/46
25 h-m-p 0.0000 0.0000 3378.9443 ++ 1068.749128 m 0.0000 1280 | 17/46
26 h-m-p 0.0000 0.0000 4902.3077 ++ 1066.843979 m 0.0000 1329 | 18/46
27 h-m-p 0.0000 0.0000 562.9335 ++ 1066.147739 m 0.0000 1378 | 19/46
28 h-m-p 0.0000 0.0000 604.9036 ++ 1065.068998 m 0.0000 1427 | 20/46
29 h-m-p 0.0000 0.0011 98.9560 ++YYCCC 1063.030833 4 0.0005 1484 | 20/46
30 h-m-p 0.0001 0.0004 301.8335 YCYCCC 1060.885787 5 0.0002 1541 | 20/46
31 h-m-p 0.0001 0.0003 225.1219 YCYCCC 1060.155836 5 0.0001 1598 | 20/46
32 h-m-p 0.0002 0.0010 131.7850 CYCCC 1059.267333 4 0.0003 1654 | 20/46
33 h-m-p 0.0002 0.0009 203.4859 ++ 1052.811607 m 0.0009 1703 | 21/46
34 h-m-p 0.0040 0.0739 14.6959 ++YYYCCCC 1038.995567 6 0.0594 1763 | 20/46
35 h-m-p 0.0004 0.0018 167.5450 YC 1037.944977 1 0.0009 1813 | 20/46
36 h-m-p 0.0005 0.0025 57.4384 YCCCC 1037.318791 4 0.0011 1869 | 20/46
37 h-m-p 0.0110 0.1245 5.4744 YCYCC 1036.135113 4 0.0202 1924 | 20/46
38 h-m-p 0.0172 0.0861 1.4944 +YYCYCC 1035.077915 5 0.0574 1981 | 20/46
39 h-m-p 0.0186 0.0928 1.8768 YCYCCC 1034.414518 5 0.0424 2038 | 20/46
40 h-m-p 0.0131 0.0654 3.2262 YCYCCC 1033.947369 5 0.0310 2095 | 20/46
41 h-m-p 0.1314 0.6572 0.3444 YCCCC 1033.534740 4 0.2705 2151 | 20/46
42 h-m-p 0.0748 0.3742 0.3538 YCYCCC 1032.839227 5 0.2020 2234 | 20/46
43 h-m-p 0.1439 0.7194 0.2756 YCCC 1032.232681 3 0.2469 2314 | 20/46
44 h-m-p 0.1478 0.7388 0.3278 YCCC 1031.712929 3 0.2941 2394 | 20/46
45 h-m-p 0.3326 1.6629 0.1072 CCCC 1031.491278 3 0.4578 2475 | 20/46
46 h-m-p 0.3411 4.5370 0.1438 +YCC 1031.283107 2 0.9070 2554 | 20/46
47 h-m-p 0.7495 3.7475 0.0597 CCCC 1031.086380 3 0.8507 2635 | 20/46
48 h-m-p 0.3695 7.5073 0.1375 +YCC 1030.974047 2 1.1819 2714 | 20/46
49 h-m-p 0.6984 3.4922 0.2039 CCCC 1030.837830 3 0.9965 2795 | 20/46
50 h-m-p 1.6000 8.0000 0.1072 CYC 1030.757853 2 1.8442 2873 | 20/46
51 h-m-p 1.6000 8.0000 0.0795 YCC 1030.721942 2 1.2091 2951 | 20/46
52 h-m-p 0.7663 8.0000 0.1254 CC 1030.680908 1 1.2122 3028 | 20/46
53 h-m-p 1.6000 8.0000 0.0698 CCC 1030.628425 2 2.3607 3107 | 20/46
54 h-m-p 1.6000 8.0000 0.0233 CC 1030.604611 1 1.3133 3184 | 20/46
55 h-m-p 1.1672 8.0000 0.0262 C 1030.598872 0 1.1954 3259 | 20/46
56 h-m-p 0.3663 8.0000 0.0854 +CY 1030.591303 1 1.5526 3337 | 20/46
57 h-m-p 1.6000 8.0000 0.0466 YC 1030.580218 1 3.6391 3413 | 20/46
58 h-m-p 1.6000 8.0000 0.0773 +YC 1030.559499 1 4.2679 3490 | 20/46
59 h-m-p 1.6000 8.0000 0.0999 CC 1030.548334 1 2.0826 3567 | 20/46
60 h-m-p 1.6000 8.0000 0.0422 YC 1030.539428 1 3.2505 3643 | 20/46
61 h-m-p 1.6000 8.0000 0.0493 YC 1030.533161 1 2.8038 3719 | 20/46
62 h-m-p 1.6000 8.0000 0.0129 CC 1030.530911 1 2.2309 3796 | 20/46
63 h-m-p 0.8338 8.0000 0.0345 +C 1030.528811 0 3.5419 3872 | 20/46
64 h-m-p 1.6000 8.0000 0.0365 +YC 1030.525431 1 4.0863 3949 | 20/46
65 h-m-p 1.4251 8.0000 0.1046 YC 1030.522374 1 2.5896 4025 | 20/46
66 h-m-p 1.6000 8.0000 0.0372 CC 1030.520614 1 2.3668 4102 | 20/46
67 h-m-p 1.3926 8.0000 0.0633 +CC 1030.516433 1 5.9263 4180 | 20/46
68 h-m-p 1.6000 8.0000 0.1998 +YC 1030.502522 1 6.8637 4257 | 20/46
69 h-m-p 1.6000 8.0000 0.4608 +YC 1030.481798 1 4.2099 4334 | 20/46
70 h-m-p 1.6000 8.0000 0.8045 +YC 1030.455336 1 4.6357 4411 | 20/46
71 h-m-p 1.6000 8.0000 1.0886 CC 1030.439580 1 2.1630 4488 | 20/46
72 h-m-p 1.6000 8.0000 0.5137 YC 1030.437767 1 1.0838 4538 | 20/46
73 h-m-p 1.6000 8.0000 0.0827 CC 1030.437341 1 1.9486 4615 | 20/46
74 h-m-p 1.6000 8.0000 0.0087 +Y 1030.436162 0 6.8802 4691 | 20/46
75 h-m-p 0.4090 8.0000 0.1461 +YC 1030.434659 1 3.6359 4768 | 20/46
76 h-m-p 1.6000 8.0000 0.0279 C 1030.434268 0 1.7094 4843 | 20/46
77 h-m-p 1.6000 8.0000 0.0031 +YC 1030.434125 1 4.3022 4920 | 20/46
78 h-m-p 0.4844 8.0000 0.0277 +++ 1030.433592 m 8.0000 4996 | 20/46
79 h-m-p 1.6000 8.0000 0.0929 YC 1030.433116 1 2.7384 5072 | 20/46
80 h-m-p 1.6000 8.0000 0.0267 C 1030.433092 0 1.3205 5147 | 20/46
81 h-m-p 1.6000 8.0000 0.0123 +C 1030.433076 0 5.6286 5223 | 20/46
82 h-m-p 1.6000 8.0000 0.0144 ++ 1030.432949 m 8.0000 5298 | 20/46
83 h-m-p 0.2545 8.0000 0.4533 ++YC 1030.432110 1 2.6953 5376 | 20/46
84 h-m-p 1.6000 8.0000 0.5407 ++ 1030.426370 m 8.0000 5451 | 20/46
85 h-m-p 0.5697 8.0000 7.5934 +CYC 1030.418350 2 2.6312 5530 | 20/46
86 h-m-p 1.6000 8.0000 4.7547 CC 1030.415390 1 1.7457 5581 | 20/46
87 h-m-p 1.0226 6.2615 8.1171 CC 1030.413804 1 1.2888 5632 | 20/46
88 h-m-p 0.8495 4.2473 9.5037 ++ 1030.411073 m 4.2473 5681 | 21/46
89 h-m-p 1.6000 8.0000 0.1858 YC 1030.410621 1 0.2779 5731 | 21/46
90 h-m-p 0.0905 6.8289 0.5703 --------------.. | 21/46
91 h-m-p 0.0000 0.0091 2.0313 YC 1030.410548 1 0.0000 5892 | 21/46
92 h-m-p 0.0001 0.0457 0.9256 C 1030.410503 0 0.0001 5941 | 21/46
93 h-m-p 0.0002 0.0498 0.7275 Y 1030.410488 0 0.0001 6015 | 21/46
94 h-m-p 0.0001 0.0616 0.7881 Y 1030.410478 0 0.0001 6089 | 21/46
95 h-m-p 0.0010 0.5041 0.4131 -C 1030.410474 0 0.0001 6164 | 21/46
96 h-m-p 0.0009 0.4609 0.1312 C 1030.410473 0 0.0002 6238 | 21/46
97 h-m-p 0.0004 0.1932 0.1010 -Y 1030.410473 0 0.0000 6313 | 21/46
98 h-m-p 0.0021 1.0343 0.0463 -C 1030.410472 0 0.0001 6388 | 21/46
99 h-m-p 0.0035 1.7723 0.0225 -Y 1030.410472 0 0.0001 6463 | 21/46
100 h-m-p 0.0036 1.7766 0.0175 -Y 1030.410472 0 0.0001 6538 | 21/46
101 h-m-p 0.0053 2.6415 0.0295 --C 1030.410472 0 0.0001 6614 | 21/46
102 h-m-p 0.0081 4.0605 0.0260 Y 1030.410472 0 0.0011 6688 | 21/46
103 h-m-p 0.0033 1.6336 0.3384 C 1030.410471 0 0.0011 6762 | 21/46
104 h-m-p 0.0002 0.1001 12.4748 +Y 1030.410441 0 0.0007 6837 | 21/46
105 h-m-p 0.0002 0.0336 36.8958 Y 1030.410428 0 0.0001 6886 | 21/46
106 h-m-p 0.0014 0.1443 2.4309 -Y 1030.410428 0 0.0001 6936 | 21/46
107 h-m-p 0.0004 0.2125 1.6613 Y 1030.410427 0 0.0001 6985 | 21/46
108 h-m-p 0.0433 7.7392 0.0022 ----C 1030.410427 0 0.0001 7038 | 21/46
109 h-m-p 0.0039 1.9682 0.0105 ---C 1030.410427 0 0.0000 7115 | 21/46
110 h-m-p 0.0160 8.0000 0.0081 +C 1030.410427 0 0.0649 7190 | 21/46
111 h-m-p 0.0014 0.5679 0.3895 --C 1030.410427 0 0.0000 7266 | 21/46
112 h-m-p 0.0160 8.0000 0.0528 +Y 1030.410421 0 0.1257 7341 | 21/46
113 h-m-p 0.0001 0.0407 54.7962 C 1030.410420 0 0.0000 7415 | 21/46
114 h-m-p 0.9958 8.0000 0.0021 ------Y 1030.410420 0 0.0001 7470 | 21/46
115 h-m-p 0.0160 8.0000 0.0054 +++C 1030.410417 0 0.9388 7547 | 21/46
116 h-m-p 0.0010 0.1577 5.2810 --Y 1030.410417 0 0.0000 7623 | 21/46
117 h-m-p 0.0896 8.0000 0.0017 ++C 1030.410416 0 1.6644 7674 | 21/46
118 h-m-p 1.6000 8.0000 0.0001 Y 1030.410416 0 0.2730 7748 | 21/46
119 h-m-p 1.4305 8.0000 0.0000 C 1030.410416 0 1.6874 7822 | 21/46
120 h-m-p 1.6000 8.0000 0.0000 ++ 1030.410416 m 8.0000 7896 | 21/46
121 h-m-p 0.6890 8.0000 0.0000 Y 1030.410416 0 1.2733 7970 | 21/46
122 h-m-p 1.6000 8.0000 0.0000 C 1030.410416 0 1.3210 8044 | 21/46
123 h-m-p 0.6788 8.0000 0.0000 C 1030.410416 0 0.8146 8118 | 21/46
124 h-m-p 0.3070 8.0000 0.0001 Y 1030.410416 0 0.5281 8192 | 21/46
125 h-m-p 0.5164 8.0000 0.0001 Y 1030.410416 0 0.3883 8266 | 21/46
126 h-m-p 0.5238 8.0000 0.0001 Y 1030.410416 0 0.2776 8340 | 21/46
127 h-m-p 0.3660 8.0000 0.0001 Y 1030.410416 0 0.1652 8414 | 21/46
128 h-m-p 0.2028 8.0000 0.0000 C 1030.410416 0 0.0698 8488 | 21/46
129 h-m-p 0.0794 8.0000 0.0000 Y 1030.410416 0 0.0199 8562
Out..
lnL = -1030.410416
8563 lfun, 102756 eigenQcodon, 3861913 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) = -1039.848547 S = -1000.622812 -80.984513
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 76 patterns 39:51
did 20 / 76 patterns 39:51
did 30 / 76 patterns 39:52
did 40 / 76 patterns 39:52
did 50 / 76 patterns 39:52
did 60 / 76 patterns 39:52
did 70 / 76 patterns 39:52
did 76 / 76 patterns 39:52end of tree file.
Time used: 39:53
The loglikelihoods for models M1, M2, M7 and M8 are -1030.675148 -1030.405839 -1030.744193 -1030.410416 respectively
CLUSTAL W (1.8) multiple sequence alignment (ALTER 1.3.3)
MY_U710_12_nsp5_VIPR_ALG4_AQN78701_1_11985_12575_1_2012_06_20_Malaysia_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKL
OC43_human_USA_901_54_1990_nsp5_VIPR_ALG4_530802467_11966_12556_1_1990_01_23_USA_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKL
OC43_human_USA_901_33_1990_nsp5_VIPR_ALG4_530802226_11953_12543_1_1990_01_16_USA_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKL
PHEV_CoV_swine_USA_15TOSU1655_2015_nsp5_VIPR_ALG4_ARC95241_1_11987_12577_1_2015_08_01_USA_Swine_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARASGSANQQQLKQLEKACNIAKSAYERDRAVARKL
2145A_2010_nsp5_VIPR_ALG4_701216631_11985_12575_1_2010_07_China_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKL
MDS11_nsp5_VIPR_ALG4_QBP84728_1_11965_12555_1_NA_NA_Unknown_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKL
OC43_human_USA_9211_43_1992_nsp5_VIPR_ALG4_530802566_11966_12556_1_1992_11_30_USA_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKL
UNKNOWN_FJ425189_nsp5_VIPR_ALG4_215478151_11956_12546_1_1994_01_01_USA_Deer_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARSSGSANQQQLKQLEKACNIAKSAYERDRAVARKL
E_AH65_nsp5_VIPR_ALG4_145208890_11986_12576_1_NA_USA_Cattle_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARSSGSANQQQLKQLEKACNIAKSAYERDRAVARKL
10290_2010_nsp5_VIPR_ALG4_701216883_11985_12575_1_2010_07_China_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKL
10574_2010_nsp5_VIPR_ALG4_701216890_11985_12575_1_2010_09_China_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKL
PHEV_CoV_swine_USA_15TOSU0582_2015_nsp5_VIPR_ALG4_ARC95217_1_11947_12537_1_2015_08_20_USA_Swine_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARSSGSANQQQLKQLEKACNIAKSAYERDRAVARKL
BJ_124_nsp5_VIPR_ALG4_AXX83300_1_11890_12480_1_2015_05_06_China_Unknown_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKL
Quebec_nsp5_VIPR_ALG4_17529671_11986_12576_1_NA_NA_Unknown_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEACSSGSANQQQLKQLEKACNIAKSAYERDRAVARKL
R_AH65_TC_nsp5_VIPR_ALG4_145208921_11970_12560_1_NA_USA_Cattle_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARSSGSANQQQLKQLEKACNIAKSAYERDRAVARKL
OC43_human_USA_912_10_1991_nsp5_VIPR_ALG4_530802237_11979_12569_1_1991_02_07_USA_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKL
12691_2012_nsp5_VIPR_ALG4_701216736_11985_12575_1_2012_05_China_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKL
PHEV_CoV_swine_USA_15TOSU1209_2015_nsp5_VIPR_ALG4_ARC95233_1_11947_12537_1_2015_07_25_USA_Swine_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARASGSANQQQLKQLEKACNIAKSAYERDRAVARKL
TCG_26_nsp5_VIPR_ALG4_BBM61504_1_11959_12549_1_2017_12_Japan_Unknown_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARSSGSANQQQLKQLEKACNIAKSAYERDRAVARKL
TCG_25_nsp5_VIPR_ALG4_BBM61494_1_11957_12547_1_2017_12_Japan_Unknown_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARSSGSANQQQLKQLEKACNIAKSAYERDRAVARKL
4_17_03_nsp5_VIPR_ALG4_AVZ61096_1_11986_12576_1_2017_04_USA_Cattle_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARSSGSANQQQLKQLEKACNIAKSAYERDRAVARKL
TNP_12636_nsp5_VIPR_ALG4_AWW13571_1_11979_12569_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKL
TCG_8_nsp5_VIPR_ALG4_BBM61394_1_11959_12549_1_2008_01_Japan_Unknown_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARSSGSANQQQLKQLEKACNIAKSAYERDRAVARKL
TCG_9_nsp5_VIPR_ALG4_BBM61424_1_11947_12537_1_2008_03_Japan_Unknown_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARSSGSANQQQLKQLEKACNIAKSAYERDRAVARKL
TCG_29_nsp5_VIPR_ALG4_BBM61534_1_11959_12549_1_2017_12_Japan_Unknown_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARSSGSANQQQLKQLEKACNIAKSAYERDRAVARKL
892A_2008_nsp5_VIPR_ALG4_701216876_11985_12575_1_2008_10_China_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKL
5484_2007_nsp5_VIPR_ALG4_701216799_11985_12575_1_2007_06_China_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKL
HCoV_OC43_Seattle_USA_SC2476_2015_nsp5_VIPR_ALG4_ARK08667_1_11947_12537_1_2015_USA_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKL
69A_2007_nsp5_VIPR_ALG4_701216862_11985_12575_1_2007_05_China_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKL
DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp5_VIPR_ALG4_QEY10630_1_11976_12566_1_2016_03_05_Morocco_Camel_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARSSGSANQQQLKQLEKACNIAKSAYERDRAVARKL
************************* ******************************:**
MY_U710_12_nsp5_VIPR_ALG4_AQN78701_1_11985_12575_1_2012_06_20_Malaysia_Human_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
OC43_human_USA_901_54_1990_nsp5_VIPR_ALG4_530802467_11966_12556_1_1990_01_23_USA_Human_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
OC43_human_USA_901_33_1990_nsp5_VIPR_ALG4_530802226_11953_12543_1_1990_01_16_USA_Human_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
PHEV_CoV_swine_USA_15TOSU1655_2015_nsp5_VIPR_ALG4_ARC95241_1_11987_12577_1_2015_08_01_USA_Swine_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
2145A_2010_nsp5_VIPR_ALG4_701216631_11985_12575_1_2010_07_China_Human_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
MDS11_nsp5_VIPR_ALG4_QBP84728_1_11965_12555_1_NA_NA_Unknown_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
OC43_human_USA_9211_43_1992_nsp5_VIPR_ALG4_530802566_11966_12556_1_1992_11_30_USA_Human_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
UNKNOWN_FJ425189_nsp5_VIPR_ALG4_215478151_11956_12546_1_1994_01_01_USA_Deer_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
E_AH65_nsp5_VIPR_ALG4_145208890_11986_12576_1_NA_USA_Cattle_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
10290_2010_nsp5_VIPR_ALG4_701216883_11985_12575_1_2010_07_China_Human_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
10574_2010_nsp5_VIPR_ALG4_701216890_11985_12575_1_2010_09_China_Human_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
PHEV_CoV_swine_USA_15TOSU0582_2015_nsp5_VIPR_ALG4_ARC95217_1_11947_12537_1_2015_08_20_USA_Swine_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
BJ_124_nsp5_VIPR_ALG4_AXX83300_1_11890_12480_1_2015_05_06_China_Unknown_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
Quebec_nsp5_VIPR_ALG4_17529671_11986_12576_1_NA_NA_Unknown_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
R_AH65_TC_nsp5_VIPR_ALG4_145208921_11970_12560_1_NA_USA_Cattle_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
OC43_human_USA_912_10_1991_nsp5_VIPR_ALG4_530802237_11979_12569_1_1991_02_07_USA_Human_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
12691_2012_nsp5_VIPR_ALG4_701216736_11985_12575_1_2012_05_China_Human_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
PHEV_CoV_swine_USA_15TOSU1209_2015_nsp5_VIPR_ALG4_ARC95233_1_11947_12537_1_2015_07_25_USA_Swine_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
TCG_26_nsp5_VIPR_ALG4_BBM61504_1_11959_12549_1_2017_12_Japan_Unknown_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
TCG_25_nsp5_VIPR_ALG4_BBM61494_1_11957_12547_1_2017_12_Japan_Unknown_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
4_17_03_nsp5_VIPR_ALG4_AVZ61096_1_11986_12576_1_2017_04_USA_Cattle_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
TNP_12636_nsp5_VIPR_ALG4_AWW13571_1_11979_12569_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
TCG_8_nsp5_VIPR_ALG4_BBM61394_1_11959_12549_1_2008_01_Japan_Unknown_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
TCG_9_nsp5_VIPR_ALG4_BBM61424_1_11947_12537_1_2008_03_Japan_Unknown_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
TCG_29_nsp5_VIPR_ALG4_BBM61534_1_11959_12549_1_2017_12_Japan_Unknown_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
892A_2008_nsp5_VIPR_ALG4_701216876_11985_12575_1_2008_10_China_Human_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
5484_2007_nsp5_VIPR_ALG4_701216799_11985_12575_1_2007_06_China_Human_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
HCoV_OC43_Seattle_USA_SC2476_2015_nsp5_VIPR_ALG4_ARK08667_1_11947_12537_1_2015_USA_Human_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
69A_2007_nsp5_VIPR_ALG4_701216862_11985_12575_1_2007_05_China_Human_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp5_VIPR_ALG4_QEY10630_1_11976_12566_1_2016_03_05_Morocco_Camel_Betacoronavirus_1 ERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNA
************************************************************
MY_U710_12_nsp5_VIPR_ALG4_AQN78701_1_11985_12575_1_2012_06_20_Malaysia_Human_Betacoronavirus_1 IPSLAANTLNIIVPDKSVYDQIVDNIYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWP
OC43_human_USA_901_54_1990_nsp5_VIPR_ALG4_530802467_11966_12556_1_1990_01_23_USA_Human_Betacoronavirus_1 IPSLAANTLNIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWP
OC43_human_USA_901_33_1990_nsp5_VIPR_ALG4_530802226_11953_12543_1_1990_01_16_USA_Human_Betacoronavirus_1 IPSLAANTLNIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWP
PHEV_CoV_swine_USA_15TOSU1655_2015_nsp5_VIPR_ALG4_ARC95241_1_11987_12577_1_2015_08_01_USA_Swine_Betacoronavirus_1 IPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWQVQTIQDSDGTNKQLNEISDDCNWP
2145A_2010_nsp5_VIPR_ALG4_701216631_11985_12575_1_2010_07_China_Human_Betacoronavirus_1 IPSLAANTLNIIVPDKSVYDQIVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWP
MDS11_nsp5_VIPR_ALG4_QBP84728_1_11965_12555_1_NA_NA_Unknown_Betacoronavirus_1 IPSLAANTLNIIVPDKSVYDQIVDNIYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWP
OC43_human_USA_9211_43_1992_nsp5_VIPR_ALG4_530802566_11966_12556_1_1992_11_30_USA_Human_Betacoronavirus_1 IPSLAANTLNIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWP
UNKNOWN_FJ425189_nsp5_VIPR_ALG4_215478151_11956_12546_1_1994_01_01_USA_Deer_Betacoronavirus_1 IPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWP
E_AH65_nsp5_VIPR_ALG4_145208890_11986_12576_1_NA_USA_Cattle_Betacoronavirus_1 IPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWP
10290_2010_nsp5_VIPR_ALG4_701216883_11985_12575_1_2010_07_China_Human_Betacoronavirus_1 IPSLAANTLNIIVPDKSVYDQIVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWP
10574_2010_nsp5_VIPR_ALG4_701216890_11985_12575_1_2010_09_China_Human_Betacoronavirus_1 IPSLAANTLNIIVPDKSVYDQIVDNIYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWP
PHEV_CoV_swine_USA_15TOSU0582_2015_nsp5_VIPR_ALG4_ARC95217_1_11947_12537_1_2015_08_20_USA_Swine_Betacoronavirus_1 IPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWQVQTIQDSDGTNKQLNEISDDCNWP
BJ_124_nsp5_VIPR_ALG4_AXX83300_1_11890_12480_1_2015_05_06_China_Unknown_Betacoronavirus_1 IPSLAANTLNIIVPDKSVYDQIVDNIYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWP
Quebec_nsp5_VIPR_ALG4_17529671_11986_12576_1_NA_NA_Unknown_Betacoronavirus_1 IPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLHEISDDCNWP
R_AH65_TC_nsp5_VIPR_ALG4_145208921_11970_12560_1_NA_USA_Cattle_Betacoronavirus_1 IPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWP
OC43_human_USA_912_10_1991_nsp5_VIPR_ALG4_530802237_11979_12569_1_1991_02_07_USA_Human_Betacoronavirus_1 IPSLAANTLNIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWP
12691_2012_nsp5_VIPR_ALG4_701216736_11985_12575_1_2012_05_China_Human_Betacoronavirus_1 IPSLAANTLNIIVPDKSVYDQIVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWP
PHEV_CoV_swine_USA_15TOSU1209_2015_nsp5_VIPR_ALG4_ARC95233_1_11947_12537_1_2015_07_25_USA_Swine_Betacoronavirus_1 IPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWQVQTIQDSDGTNKQLNEISDDCNWP
TCG_26_nsp5_VIPR_ALG4_BBM61504_1_11959_12549_1_2017_12_Japan_Unknown_Betacoronavirus_1 IPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWP
TCG_25_nsp5_VIPR_ALG4_BBM61494_1_11957_12547_1_2017_12_Japan_Unknown_Betacoronavirus_1 IPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWP
4_17_03_nsp5_VIPR_ALG4_AVZ61096_1_11986_12576_1_2017_04_USA_Cattle_Betacoronavirus_1 IPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWHIQTIQDSDGTNKQLNEISDDCNWP
TNP_12636_nsp5_VIPR_ALG4_AWW13571_1_11979_12569_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1 IPSLAANTLNIIVPDKSVYDQIVDNIYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWP
TCG_8_nsp5_VIPR_ALG4_BBM61394_1_11959_12549_1_2008_01_Japan_Unknown_Betacoronavirus_1 IPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWP
TCG_9_nsp5_VIPR_ALG4_BBM61424_1_11947_12537_1_2008_03_Japan_Unknown_Betacoronavirus_1 IPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWP
TCG_29_nsp5_VIPR_ALG4_BBM61534_1_11959_12549_1_2017_12_Japan_Unknown_Betacoronavirus_1 IPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWP
892A_2008_nsp5_VIPR_ALG4_701216876_11985_12575_1_2008_10_China_Human_Betacoronavirus_1 IPSLAANTLNIIVPDKSVYDQIVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWP
5484_2007_nsp5_VIPR_ALG4_701216799_11985_12575_1_2007_06_China_Human_Betacoronavirus_1 IPSLAANTLNIIVPDKSVYDQIVDNIYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWP
HCoV_OC43_Seattle_USA_SC2476_2015_nsp5_VIPR_ALG4_ARK08667_1_11947_12537_1_2015_USA_Human_Betacoronavirus_1 IPSLAANTLNIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWP
69A_2007_nsp5_VIPR_ALG4_701216862_11985_12575_1_2007_05_China_Human_Betacoronavirus_1 IPSLAANTLNIIVPDKSVYDQIVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWP
DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp5_VIPR_ALG4_QEY10630_1_11976_12566_1_2016_03_05_Morocco_Camel_Betacoronavirus_1 IPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWP
*********.***********:***:*********::*************:*********
MY_U710_12_nsp5_VIPR_ALG4_AQN78701_1_11985_12575_1_2012_06_20_Malaysia_Human_Betacoronavirus_1 LVIIANRYNEVSATVLQ
OC43_human_USA_901_54_1990_nsp5_VIPR_ALG4_530802467_11966_12556_1_1990_01_23_USA_Human_Betacoronavirus_1 LVIIANRYNEVSATVLQ
OC43_human_USA_901_33_1990_nsp5_VIPR_ALG4_530802226_11953_12543_1_1990_01_16_USA_Human_Betacoronavirus_1 LVIIANRYNEVSATVLQ
PHEV_CoV_swine_USA_15TOSU1655_2015_nsp5_VIPR_ALG4_ARC95241_1_11987_12577_1_2015_08_01_USA_Swine_Betacoronavirus_1 LVIIANRYNEVSATVLQ
2145A_2010_nsp5_VIPR_ALG4_701216631_11985_12575_1_2010_07_China_Human_Betacoronavirus_1 LVIIANRYNEVSATVLQ
MDS11_nsp5_VIPR_ALG4_QBP84728_1_11965_12555_1_NA_NA_Unknown_Betacoronavirus_1 LVIIANRYNEVSATVLQ
OC43_human_USA_9211_43_1992_nsp5_VIPR_ALG4_530802566_11966_12556_1_1992_11_30_USA_Human_Betacoronavirus_1 LVIIANRYNEVSATVLQ
UNKNOWN_FJ425189_nsp5_VIPR_ALG4_215478151_11956_12546_1_1994_01_01_USA_Deer_Betacoronavirus_1 LVIIANRHNEVSATVLQ
E_AH65_nsp5_VIPR_ALG4_145208890_11986_12576_1_NA_USA_Cattle_Betacoronavirus_1 LVIIANRHNEVSATVLQ
10290_2010_nsp5_VIPR_ALG4_701216883_11985_12575_1_2010_07_China_Human_Betacoronavirus_1 LVIIANRYNEVSATVLQ
10574_2010_nsp5_VIPR_ALG4_701216890_11985_12575_1_2010_09_China_Human_Betacoronavirus_1 LVIIANRYNEVSATVLQ
PHEV_CoV_swine_USA_15TOSU0582_2015_nsp5_VIPR_ALG4_ARC95217_1_11947_12537_1_2015_08_20_USA_Swine_Betacoronavirus_1 LVIIANRHNEVSATVLQ
BJ_124_nsp5_VIPR_ALG4_AXX83300_1_11890_12480_1_2015_05_06_China_Unknown_Betacoronavirus_1 LVIIANRYNEVSATVLQ
Quebec_nsp5_VIPR_ALG4_17529671_11986_12576_1_NA_NA_Unknown_Betacoronavirus_1 LVIIANRHNEVSATVLQ
R_AH65_TC_nsp5_VIPR_ALG4_145208921_11970_12560_1_NA_USA_Cattle_Betacoronavirus_1 LVIIANRHNEVSATVLQ
OC43_human_USA_912_10_1991_nsp5_VIPR_ALG4_530802237_11979_12569_1_1991_02_07_USA_Human_Betacoronavirus_1 LVIIANRYNEVSATVLQ
12691_2012_nsp5_VIPR_ALG4_701216736_11985_12575_1_2012_05_China_Human_Betacoronavirus_1 LVIIANRYNEVSATVLQ
PHEV_CoV_swine_USA_15TOSU1209_2015_nsp5_VIPR_ALG4_ARC95233_1_11947_12537_1_2015_07_25_USA_Swine_Betacoronavirus_1 LVIIANRYNEVSATVLQ
TCG_26_nsp5_VIPR_ALG4_BBM61504_1_11959_12549_1_2017_12_Japan_Unknown_Betacoronavirus_1 LVIIANRHNEVSATVLQ
TCG_25_nsp5_VIPR_ALG4_BBM61494_1_11957_12547_1_2017_12_Japan_Unknown_Betacoronavirus_1 LVIIANRHNEVSATVLQ
4_17_03_nsp5_VIPR_ALG4_AVZ61096_1_11986_12576_1_2017_04_USA_Cattle_Betacoronavirus_1 LVIIANRHNEVSATVLQ
TNP_12636_nsp5_VIPR_ALG4_AWW13571_1_11979_12569_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1 LVIIANRYNEVSATVLQ
TCG_8_nsp5_VIPR_ALG4_BBM61394_1_11959_12549_1_2008_01_Japan_Unknown_Betacoronavirus_1 LVIIANRHNEVSATVLQ
TCG_9_nsp5_VIPR_ALG4_BBM61424_1_11947_12537_1_2008_03_Japan_Unknown_Betacoronavirus_1 LVIIANRHNEVSATVLQ
TCG_29_nsp5_VIPR_ALG4_BBM61534_1_11959_12549_1_2017_12_Japan_Unknown_Betacoronavirus_1 LVIIANRHNEVSATVLQ
892A_2008_nsp5_VIPR_ALG4_701216876_11985_12575_1_2008_10_China_Human_Betacoronavirus_1 LVIIANRYNEVSATVLQ
5484_2007_nsp5_VIPR_ALG4_701216799_11985_12575_1_2007_06_China_Human_Betacoronavirus_1 LVIIANRYNEVSATVLQ
HCoV_OC43_Seattle_USA_SC2476_2015_nsp5_VIPR_ALG4_ARK08667_1_11947_12537_1_2015_USA_Human_Betacoronavirus_1 LVIIANRCNEVSATVLQ
69A_2007_nsp5_VIPR_ALG4_701216862_11985_12575_1_2007_05_China_Human_Betacoronavirus_1 LVIIANRYNEVSATVLQ
DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp5_VIPR_ALG4_QEY10630_1_11976_12566_1_2016_03_05_Morocco_Camel_Betacoronavirus_1 LVIIANRHNEVSATVLQ
******* *********
>MY_U710_12_nsp5_VIPR_ALG4_AQN78701_1_11985_12575_1_2012_06_20_Malaysia_Human_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGCGTTTTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAATCTGCTTATGAACGCGACCGTGCTGTAGCAAAAAAGTTGGAGCGTATGGCTGATTTAGCTCTTACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAACGCTGTGAAGGGTTGTGTACCATTGAATGCAATACCTTCATTGGCAGCAAATACTCTGAATATAATTGTACCAGATAAAAGTGTTTATGACCAGATAGTTGATAATATCTATGTTACCTATGCGGGTAATGTATGGCAGATTCAAACTATCCAGGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGTATAATGAGGTATCTGCTACTGTTTTGCAA >OC43_human_USA_901_54_1990_nsp5_VIPR_ALG4_530802467_11966_12556_1_1990_01_23_USA_Human_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGCGTTTTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAATCTGCTTATGAACGCGACCGTGCTGTAGCAAAAAAATTGGAGCGTATGGCTGATTTGGCTCTCACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAACGCTGTGAAGGGTTGTGTACCATTGAATGCAATACCTTCATTGGCAGCAAATACTCTGAATATAATTGTACCAGATAAAAGTGTTTATGACCAGGTAGTTGATAATGTCTATGTTACCTATGCGGGTAATGTATGGCAGATTCAAACTATCCAGGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGTATAATGAGGTATCTGCTACTGTTTTGCAA >OC43_human_USA_901_33_1990_nsp5_VIPR_ALG4_530802226_11953_12543_1_1990_01_16_USA_Human_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAGGTTGCTAAGAAAAATCTTGATGAGGCGCGTTTTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAATCTGCTTATGAACGCGACCGTGCTGTAGCAAAAAAGTTGGAGCGTATGGCTGATTTGGCTCTTACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAACGCTGTGAAGGGTTGTGTACCATTGAATGCAATACCTTCATTGGCAGCAAATACTCTGAATATAATTGTACCAGATAAAAGTGTTTATGACCAGGTAGTTGATAATGTCTATGTTACCTATGCGGGTAATGTATGGCAGATTCAAACTATCCAGGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGTATAATGAGGTATCTGCTACTGTTTTGCAA >PHEV_CoV_swine_USA_15TOSU1655_2015_nsp5_VIPR_ALG4_ARC95241_1_11987_12577_1_2015_08_01_USA_Swine_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGCGTGCTAGTGGTTCTGCTAATCAACAACAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAGTCTGCTTATGAACGCGACCGTGCTGTAGCAAGAAAATTGGAGCGTATGGCAGATTTGGCTCTTACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAATGCTGTGAAGGGTTGTGTACCATTGAATGCAATCCCTTCATTGGCAGCAAATACTCTGACTATAATTGTACCAGATAAAAGTGTTTATGACCAGGTAGTTGATAATGTCTATGTTACTTATGCTGGTAATGTATGGCAGGTTCAAACTATCCAAGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGTATAATGAGGTATCTGCTACCGTTTTGCAA >2145A_2010_nsp5_VIPR_ALG4_701216631_11985_12575_1_2010_07_China_Human_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGCGTTTTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAATCTGCTTATGAACGCGACCGTGCTGTAGCAAAAAAGTTGGAGCGTATGGCTGATTTGGCTCTTACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAACGCTGTGAAGGGTTGTGTACCATTGAATGCAATACCTTCATTGGCAGCAAATACTCTGAATATAATTGTACCAGATAAAAGTGTTTATGACCAGATAGTTGATAATGTCTATGTTACCTATGCGGGTAATGTATGGCAGATTCAAACTATCCAGGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGTATAATGAGGTATCTGCTACTGTTTTGCAA >MDS11_nsp5_VIPR_ALG4_QBP84728_1_11965_12555_1_NA_NA_Unknown_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGCGTTTTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAATCTGCTTATGAACGCGACCGTGCTGTAGCAAAAAAGTTGGAGCGTATGGCTGATTTAGCTCTTACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAACGCTGTGAAGGGTTGTGTACCATTGAATGCAATACCTTCATTGGCAGCAAATACTCTGAATATAATTGTACCAGATAAAAGTGTTTATGACCAGATAGTTGATAATATCTATGTTACCTATGCGGGTAATGTATGGCAGATTCAAACTATCCAGGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGTATAATGAGGTATCTGCTACTGTTTTGCAA >OC43_human_USA_9211_43_1992_nsp5_VIPR_ALG4_530802566_11966_12556_1_1992_11_30_USA_Human_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAGGTTGCTAAGAAAAATCTTGATGAGGCGCGTTTTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAATCTGCTTATGAACGCGACCGTGCTGTAGCAAAAAAGTTGGAGCGTATGGCTGATTTGGCTCTTACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAACGCTGTGAAGGGTTGTGTACCATTGAATGCAATACCTTCATTGGCAGCAAATACTCTGAATATAATTGTACCAGATAAAAGTGTTTATGACCAGGTAGTTGATAATGTCTATGTTACCTATGCGGGTAATGTATGGCAGATTCAAACTATCCAGGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGTATAATGAGGTATCTGCTACTGTTTTGCAA >UNKNOWN_FJ425189_nsp5_VIPR_ALG4_215478151_11956_12546_1_1994_01_01_USA_Deer_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGCGTTCTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAATCTGCTTATGAACGCGACCGTGCTGTAGCAAGAAAGTTGGAGCGTATGGCAGATTTGGCTCTCACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAATGCTGTGAAGGGTTGTGTACCATTGAATGCAATCCCTTCATTGGCTGCAAATACTCTGACTATAATTGTACCAGATAAAAGTGTTTACGATCAGGTAGTTGACAATGTCTATGTTACCTATGCGGGTAATGTATGGCAGATTCAAACTATCCAAGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGCATAATGAGGTATCTGCTACCGTTTTGCAA >E_AH65_nsp5_VIPR_ALG4_145208890_11986_12576_1_NA_USA_Cattle_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGCGTTCTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAATCTGCTTATGAACGCGACCGTGCTGTAGCAAGAAAGTTGGAGCGTATGGCAGATTTGGCTCTCACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAATGCTGTGAAGGGTTGTGTACCATTGAATGCAATCCCTTCATTGGCTGCAAATACTCTGACTATAATTGTACCAGATAAAAGTGTTTACGATCAGGTAGTTGACAATGTCTATGTTACCTATGCGGGTAATGTATGGCAGATTCAAACTATCCAAGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGCATAATGAGGTATCTGCAACCGTTTTGCAA >10290_2010_nsp5_VIPR_ALG4_701216883_11985_12575_1_2010_07_China_Human_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGCGTTTTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAATCTGCTTATGAACGCGACCGTGCTGTAGCAAAAAAGTTGGAGCGTATGGCTGATTTAGCTCTTACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAACGCTGTGAAGGGTTGTGTACCATTGAATGCAATACCTTCATTGGCAGCAAATACTCTGAATATAATTGTACCAGATAAAAGTGTTTATGACCAGATAGTTGATAATGTCTATGTTACCTATGCGGGTAATGTATGGCAGATTCAAACTATCCAGGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGTATAATGAGGTATCTGCTACTGTTTTGCAA >10574_2010_nsp5_VIPR_ALG4_701216890_11985_12575_1_2010_09_China_Human_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGCGTTTTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAATCTGCTTATGAACGCGACCGTGCTGTAGCAAAAAAGTTGGAGCGTATGGCTGATTTAGCTCTTACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAACGCTGTGAAGGGTTGTGTACCATTGAATGCAATACCTTCATTGGCAGCAAATACTCTGAATATAATTGTACCAGATAAAAGTGTTTATGACCAGATAGTTGATAATATCTATGTTACCTATGCGGGTAATGTATGGCAGATTCAAACTATCCAGGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGTATAATGAGGTATCTGCTACTGTTTTGCAA >PHEV_CoV_swine_USA_15TOSU0582_2015_nsp5_VIPR_ALG4_ARC95217_1_11947_12537_1_2015_08_20_USA_Swine_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGCGTTCTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCTTGTAATATTGCTAAATCTGCTTATGAACGCGACCGTGCTGTAGCAAGAAAATTGGAGCGTATGGCAGATTTGGCTCTCACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAACGCTGTGAAGGGTTGTGTACCATTGAATGCAATCCCTTCATTGGCAGCAAATACTCTGACTATAATTGTACCAGATAAAAGTGTTTATGACCAGGTAGTTGATAATGTCTATGTTACTTATGCTGGTAATGTATGGCAGGTTCAAACTATCCAAGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGTCATAATGAGGTATCTGCTACCGTTTTGCAA >BJ_124_nsp5_VIPR_ALG4_AXX83300_1_11890_12480_1_2015_05_06_China_Unknown_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGCGTTTTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAATCTGCTTATGAACGCGACCGTGCTGTAGCAAAAAAGTTGGAGCGTATGGCTGATTTAGCTCTTACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAACGCTGTGAAGGGTTGTGTACCATTGAATGCAATACCTTCATTGGCAGCAAATACTCTGAATATAATTGTACCAGATAAAAGTGTTTATGACCAGATAGTTGATAATATCTATGTTACCTATGCGGGTAATGTATGGCAGATTCAAACTATCCAGGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGTATAATGAGGTATCTGCTACTGTTTTGCAA >Quebec_nsp5_VIPR_ALG4_17529671_11986_12576_1_NA_NA_Unknown_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGTGTTCTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAATCTGCTTATGAACGCGACCGTGCTGTAGCAAGAAAGTTGGAGCGTATGGCAGATTTGGCTCTCACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAATGCTGTGAAGGGTTGTGTACCATTGAATGCAATCCCTTCATTGGCAGCAAATACTCTGACTATAATTGTACCAGATAAAAGTGTTTATGATCAGGTAGTTGACAATGTCTATGTTACCTATGCGGGTAATGTATGGCAGATTCAAACTATCCAAGATTCAGATGGTACAAATAAGCAGTTGCATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGCATAATGAGGTATCTGCTACCGTTTTGCAA >R_AH65_TC_nsp5_VIPR_ALG4_145208921_11970_12560_1_NA_USA_Cattle_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGCGTTCTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCTTGTAATATTGCTAAATCTGCTTATGAACGCGATCGTGCTGTAGCAAGAAAGTTGGAGCGTATGGCAGATTTGGCTCTCACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAATGCTGTGAAGGGTTGTGTACCATTGAATGCAATCCCTTCATTGGCTGCAAATACTCTGACTATAATTGTACCAGATAAAAGTGTTTACGATCAGGTAGTTGACAATGTCTATGTTACCTATGCGGGTAATGTATGGCAGATTCAAACTATCCAAGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGCATAATGAGGTATCTGCTACCGTTTTGCAA >OC43_human_USA_912_10_1991_nsp5_VIPR_ALG4_530802237_11979_12569_1_1991_02_07_USA_Human_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGCGTTTTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAATCTGCTTATGAACGCGACCGTGCTGTAGCAAAAAAGTTGGAGCGTATGGCTGATTTGGCTCTCACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAACGCTGTGAAGGGTTGTGTACCATTGAATGCAATACCTTCATTGGCAGCAAATACTCTGAATATAATTGTACCAGATAAAAGTGTTTATGACCAGGTAGTTGATAATGTCTATGTTACCTATGCGGGTAATGTATGGCAGATTCAAACTATCCAGGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGTATAATGAGGTATCTGCTACTGTTTTGCAA >12691_2012_nsp5_VIPR_ALG4_701216736_11985_12575_1_2012_05_China_Human_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGCGTTTTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAATCTGCTTATGAACGCGACCGTGCTGTAGCAAAAAAGTTGGAGCGTATGGCTGATTTAGCTCTTACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAACGCTGTGAAGGGTTGTGTACCATTGAATGCAATACCTTCATTGGCAGCAAATACTCTGAATATAATTGTACCAGATAAAAGTGTTTATGACCAGATAGTTGATAATGTCTATGTTACCTATGCGGGTAATGTATGGCAGATTCAAACTATCCAGGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGTATAATGAGGTATCTGCTACTGTTTTGCAA >PHEV_CoV_swine_USA_15TOSU1209_2015_nsp5_VIPR_ALG4_ARC95233_1_11947_12537_1_2015_07_25_USA_Swine_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGCGTGCTAGTGGTTCTGCTAATCAACAACAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAGTCTGCTTATGAACGCGACCGTGCTGTAGCAAGAAAATTGGAGCGTATGGCAGATTTGGCTCTTACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAATGCTGTGAAGGGTTGTGTACCATTGAATGCAATCCCTTCATTGGCAGCAAATACTCTGACTATAATTGTACCAGATAAAAGTGTTTATGACCAGGTAGTTGATAATGTCTATGTTACTTATGCTGGTAATGTATGGCAGGTTCAAACTATCCAAGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGTATAATGAGGTATCTGCTACCGTTTTGCAA >TCG_26_nsp5_VIPR_ALG4_BBM61504_1_11959_12549_1_2017_12_Japan_Unknown_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGCGTTCTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAATCTGCTTATGAACGCGACCGTGCTGTAGCAAGAAAGTTGGAGCGTATGGCAGATTTGGCTCTCACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAATGCTGTGAAGGGTTGTGTACCATTGAATGCAATCCCTTCATTGGCTGCAAATACTCTGACTATAATTGTACCAGATAAAAGTGTTTACGATCAGGTAGTTGACAATGTCTATGTTACCTATGCGGGTAATGTATGGCAGATTCAAACTATCCAAGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGCATAATGAGGTATCTGCAACCGTTTTGCAA >TCG_25_nsp5_VIPR_ALG4_BBM61494_1_11957_12547_1_2017_12_Japan_Unknown_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGCGTTCTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAATCTGCTTATGAACGCGACCGTGCTGTAGCAAGAAAGTTGGAGCGTATGGCAGATTTGGCTCTCACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAATGCTGTGAAGGGTTGTGTACCATTGAATGCAATCCCTTCATTGGCTGCAAATACTCTGACTATAATTGTACCAGATAAAAGTGTTTACGATCAGGTAGTTGACAATGTCTATGTTACCTATGCGGGTAATGTATGGCAGATTCAAACTATCCAAGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGCATAATGAGGTATCTGCAACCGTTTTGCAA >4_17_03_nsp5_VIPR_ALG4_AVZ61096_1_11986_12576_1_2017_04_USA_Cattle_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGCGTTCTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAATCTGCTTATGAACGCGACCGTGCTGTAGCAAGAAAGTTGGAGCGTATGGCAGATTTGGCTCTCACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAATGCTGTGAAGGGTTGTGTACCATTGAATGCAATCCCTTCATTGGCTGCAAATACTCTGACTATAATTGTACCAGATAAAAGTGTTTACGATCAGGTAGTTGACAATGTCTATGTTACCTATGCGGGTAATGTATGGCATATTCAAACTATCCAAGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGCATAATGAGGTATCTGCAACCGTTTTGCAA >TNP_12636_nsp5_VIPR_ALG4_AWW13571_1_11979_12569_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGCGTTTTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAATCTGCTTATGAACGCGACCGTGCTGTAGCAAAAAAATTGGAGCGTATGGCTGATTTAGCTCTTACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAACGCTGTGAAGGGTTGTGTACCATTGAATGCAATACCTTCATTGGCAGCAAATACTCTGAATATAATTGTACCAGATAAAAGTGTTTATGACCAGATAGTTGATAATATCTATGTTACCTATGCGGGTAATGTATGGCAGATTCAAACTATCCAGGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGTATAATGAGGTATCTGCTACTGTTTTGCAA >TCG_8_nsp5_VIPR_ALG4_BBM61394_1_11959_12549_1_2008_01_Japan_Unknown_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGCGTTCTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAATCTGCTTATGAACGCGACCGTGCTGTAGCAAGAAAGTTGGAGCGTATGGCAGATTTGGCTCTCACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAATGCTGTGAAGGGTTGTGTACCATTGAATGCAATCCCTTCATTGGCTGCAAATACTCTGACTATAATTGTACCAGATAAAAGTGTTTACGATCAGGTAGTTGACAATGTCTATGTTACCTATGCGGGTAATGTATGGCAGATTCAAACTATCCAAGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGCATAATGAGGTATCTGCAACCGTTTTGCAA >TCG_9_nsp5_VIPR_ALG4_BBM61424_1_11947_12537_1_2008_03_Japan_Unknown_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGCGTTCTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAATCTGCTTATGAACGCGACCGTGCTGTAGCAAGAAAGTTGGAGCGTATGGCAGATTTGGCTCTTACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAATGCTGTGAAGGGTTGTGTACCATTGAATGCAATCCCTTCATTGGCTGCAAATACTCTGACTATAATTGTACCAGATAAAAGTGTTTACGATCAGGTAGTTGACAATGTCTATGTTACCTATGCGGGTAATGTATGGCAGATTCAAACTATCCAAGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGCATAATGAGGTATCTGCAACCGTTTTGCAA >TCG_29_nsp5_VIPR_ALG4_BBM61534_1_11959_12549_1_2017_12_Japan_Unknown_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGCGTTCTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAATCTGCTTATGAACGCGACCGTGCTGTAGCAAGAAAGTTGGAGCGTATGGCAGATTTGGCTCTCACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAATGCTGTGAAGGGTTGTGTACCATTGAATGCAATCCCTTCATTGGCTGCAAATACTCTGACTATAATTGTACCAGATAAAAGTGTTTACGATCAGGTAGTTGACAATGTCTATGTTACCTATGCGGGTAATGTATGGCAGATTCAAACTATCCAAGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGCATAATGAGGTATCTGCAACCGTTTTGCAA >892A_2008_nsp5_VIPR_ALG4_701216876_11985_12575_1_2008_10_China_Human_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGCGTTTTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAATCTGCTTATGAACGCGACCGTGCTGTAGCAAAAAAGTTGGAGCGTATGGCTGATTTAGCTCTTACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAACGCTGTGAAGGGTTGTGTACCATTGAATGCAATACCTTCCTTGGCAGCAAATACTCTGAATATAATTGTACCAGATAAAAGTGTTTATGACCAGATAGTTGATAATGTCTATGTTACCTATGCGGGTAATGTATGGCAGATTCAAACTATCCAGGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGTATAATGAGGTATCTGCTACTGTTTTGCAA >5484_2007_nsp5_VIPR_ALG4_701216799_11985_12575_1_2007_06_China_Human_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGCGTTTTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAATCTGCTTATGAACGCGACCGTGCTGTAGCAAAAAAGTTGGAGCGTATGGCTGATTTAGCTCTTACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAACGCTGTGAAGGGTTGTGTACCATTGAATGCAATACCTTCATTGGCAGCAAATACTCTGAATATAATTGTACCAGATAAAAGTGTTTATGACCAGATAGTTGATAATATCTATGTTACCTATGCGGGTAATGTATGGCAGATTCAAACTATCCAGGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGTATAATGAGGTATCTGCTACTGTTTTGCAA >HCoV_OC43_Seattle_USA_SC2476_2015_nsp5_VIPR_ALG4_ARK08667_1_11947_12537_1_2015_USA_Human_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGCGTTTTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAATCTGCTTATGAACGCGACCGTGCTGTAGCAAAAAAGTTGGAGCGTATGGCTGATTTGGCTCTTACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAACGCTGTGAAGGGTTGTGTACCATTGAATGCAATACCTTCATTGGCAGCAAATACTCTGAATATAATTGTACCAGATAAAAGTGTTTATGACCAGGTAGTTGATAATGTCTATGTTACCTATGCGGGTAATGTATGGCAGATTCAAACTATCCAGGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGTGTAATGAGGTATCTGCTACTGTTTTGCAA >69A_2007_nsp5_VIPR_ALG4_701216862_11985_12575_1_2007_05_China_Human_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTCGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGCGTTTTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAATCTGCTTATGAACGCGACCGTGCTGTAGCAAAAAAGTTGGAGCGTATGGCTGATTTAGCTCTTACTAATATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTTGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAACGCTGTGAAGGGTTGTGTACCATTGAATGCAATACCTTCATTGGCAGCAAATACTCTGAATATAATTGTACCAGATAAAAGTGTTTATGACCAGATAGTTGATAATGTCTATGTTACCTATGCGGGTAATGTATGGCAGATTCAAACTATCCAGGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGTATAATGAGGTATCTGCTACTGTTTTGCAA >DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp5_VIPR_ALG4_QEY10630_1_11976_12566_1_2016_03_05_Morocco_Camel_Betacoronavirus_1 GCTTTACAGAGTGAATTTGTTAATATGGCTAGCTTTGTTGAATATGAAGTTGCTAAGAAAAATCTTGATGAGGCGCGTTCTAGTGGTTCTGCTAATCAACAGCAGTTAAAACAGCTAGAGAAAGCCTGTAATATTGCTAAATCTGCTTATGAACGCGACCGTGCTGTAGCAAGAAAGTTGGAGCGTATGGCAGATTTGGCTCTTACTAACATGTATAAAGAAGCTAGAATTAATGATAAGAAGAGTAAGGTCGTTTCTGCCTTGCAAACTATGCTTTTTAGTATGGTGCGTAAGTTAGATAATCAAGCTCTGAATTCAATATTAGATAATGCTGTGAAGGGTTGTGTACCATTGAATGCAATCCCTTCATTGGCTGCAAATACTCTGACTATAATTGTACCAGATAAAAGTGTTTACGATCAGGTAGTTGACAATGTCTATGTTACCTATGCGGGTAATGTATGGCAGATTCAAACTATCCAAGATTCAGATGGTACAAATAAGCAGTTGAATGAGATATCTGATGATTGTAACTGGCCACTAGTTATTATTGCAAATCGGCATAATGAGGTATCTGCTACCGTTTTGCAA
>MY_U710_12_nsp5_VIPR_ALG4_AQN78701_1_11985_12575_1_2012_06_20_Malaysia_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLNIIVPDKSVYDQIVDNIYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWPLVIIANRYNEVSATVLQ >OC43_human_USA_901_54_1990_nsp5_VIPR_ALG4_530802467_11966_12556_1_1990_01_23_USA_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLNIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWPLVIIANRYNEVSATVLQ >OC43_human_USA_901_33_1990_nsp5_VIPR_ALG4_530802226_11953_12543_1_1990_01_16_USA_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLNIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWPLVIIANRYNEVSATVLQ >PHEV_CoV_swine_USA_15TOSU1655_2015_nsp5_VIPR_ALG4_ARC95241_1_11987_12577_1_2015_08_01_USA_Swine_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARASGSANQQQLKQLEKACNIAKSAYERDRAVARKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWQVQTIQDSDGTNKQLNEISDDCNWPLVIIANRYNEVSATVLQ >2145A_2010_nsp5_VIPR_ALG4_701216631_11985_12575_1_2010_07_China_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLNIIVPDKSVYDQIVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWPLVIIANRYNEVSATVLQ >MDS11_nsp5_VIPR_ALG4_QBP84728_1_11965_12555_1_NA_NA_Unknown_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLNIIVPDKSVYDQIVDNIYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWPLVIIANRYNEVSATVLQ >OC43_human_USA_9211_43_1992_nsp5_VIPR_ALG4_530802566_11966_12556_1_1992_11_30_USA_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLNIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWPLVIIANRYNEVSATVLQ >UNKNOWN_FJ425189_nsp5_VIPR_ALG4_215478151_11956_12546_1_1994_01_01_USA_Deer_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARSSGSANQQQLKQLEKACNIAKSAYERDRAVARKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWPLVIIANRHNEVSATVLQ >E_AH65_nsp5_VIPR_ALG4_145208890_11986_12576_1_NA_USA_Cattle_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARSSGSANQQQLKQLEKACNIAKSAYERDRAVARKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWPLVIIANRHNEVSATVLQ >10290_2010_nsp5_VIPR_ALG4_701216883_11985_12575_1_2010_07_China_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLNIIVPDKSVYDQIVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWPLVIIANRYNEVSATVLQ >10574_2010_nsp5_VIPR_ALG4_701216890_11985_12575_1_2010_09_China_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLNIIVPDKSVYDQIVDNIYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWPLVIIANRYNEVSATVLQ >PHEV_CoV_swine_USA_15TOSU0582_2015_nsp5_VIPR_ALG4_ARC95217_1_11947_12537_1_2015_08_20_USA_Swine_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARSSGSANQQQLKQLEKACNIAKSAYERDRAVARKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWQVQTIQDSDGTNKQLNEISDDCNWPLVIIANRHNEVSATVLQ >BJ_124_nsp5_VIPR_ALG4_AXX83300_1_11890_12480_1_2015_05_06_China_Unknown_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLNIIVPDKSVYDQIVDNIYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWPLVIIANRYNEVSATVLQ >Quebec_nsp5_VIPR_ALG4_17529671_11986_12576_1_NA_NA_Unknown_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEACSSGSANQQQLKQLEKACNIAKSAYERDRAVARKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLHEISDDCNWPLVIIANRHNEVSATVLQ >R_AH65_TC_nsp5_VIPR_ALG4_145208921_11970_12560_1_NA_USA_Cattle_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARSSGSANQQQLKQLEKACNIAKSAYERDRAVARKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWPLVIIANRHNEVSATVLQ >OC43_human_USA_912_10_1991_nsp5_VIPR_ALG4_530802237_11979_12569_1_1991_02_07_USA_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLNIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWPLVIIANRYNEVSATVLQ >12691_2012_nsp5_VIPR_ALG4_701216736_11985_12575_1_2012_05_China_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLNIIVPDKSVYDQIVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWPLVIIANRYNEVSATVLQ >PHEV_CoV_swine_USA_15TOSU1209_2015_nsp5_VIPR_ALG4_ARC95233_1_11947_12537_1_2015_07_25_USA_Swine_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARASGSANQQQLKQLEKACNIAKSAYERDRAVARKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWQVQTIQDSDGTNKQLNEISDDCNWPLVIIANRYNEVSATVLQ >TCG_26_nsp5_VIPR_ALG4_BBM61504_1_11959_12549_1_2017_12_Japan_Unknown_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARSSGSANQQQLKQLEKACNIAKSAYERDRAVARKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWPLVIIANRHNEVSATVLQ >TCG_25_nsp5_VIPR_ALG4_BBM61494_1_11957_12547_1_2017_12_Japan_Unknown_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARSSGSANQQQLKQLEKACNIAKSAYERDRAVARKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWPLVIIANRHNEVSATVLQ >4_17_03_nsp5_VIPR_ALG4_AVZ61096_1_11986_12576_1_2017_04_USA_Cattle_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARSSGSANQQQLKQLEKACNIAKSAYERDRAVARKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWHIQTIQDSDGTNKQLNEISDDCNWPLVIIANRHNEVSATVLQ >TNP_12636_nsp5_VIPR_ALG4_AWW13571_1_11979_12569_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLNIIVPDKSVYDQIVDNIYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWPLVIIANRYNEVSATVLQ >TCG_8_nsp5_VIPR_ALG4_BBM61394_1_11959_12549_1_2008_01_Japan_Unknown_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARSSGSANQQQLKQLEKACNIAKSAYERDRAVARKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWPLVIIANRHNEVSATVLQ >TCG_9_nsp5_VIPR_ALG4_BBM61424_1_11947_12537_1_2008_03_Japan_Unknown_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARSSGSANQQQLKQLEKACNIAKSAYERDRAVARKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWPLVIIANRHNEVSATVLQ >TCG_29_nsp5_VIPR_ALG4_BBM61534_1_11959_12549_1_2017_12_Japan_Unknown_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARSSGSANQQQLKQLEKACNIAKSAYERDRAVARKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWPLVIIANRHNEVSATVLQ >892A_2008_nsp5_VIPR_ALG4_701216876_11985_12575_1_2008_10_China_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLNIIVPDKSVYDQIVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWPLVIIANRYNEVSATVLQ >5484_2007_nsp5_VIPR_ALG4_701216799_11985_12575_1_2007_06_China_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLNIIVPDKSVYDQIVDNIYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWPLVIIANRYNEVSATVLQ >HCoV_OC43_Seattle_USA_SC2476_2015_nsp5_VIPR_ALG4_ARK08667_1_11947_12537_1_2015_USA_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLNIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWPLVIIANRCNEVSATVLQ >69A_2007_nsp5_VIPR_ALG4_701216862_11985_12575_1_2007_05_China_Human_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARFSGSANQQQLKQLEKACNIAKSAYERDRAVAKKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLNIIVPDKSVYDQIVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWPLVIIANRYNEVSATVLQ >DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp5_VIPR_ALG4_QEY10630_1_11976_12566_1_2016_03_05_Morocco_Camel_Betacoronavirus_1 ALQSEFVNMASFVEYEVAKKNLDEARSSGSANQQQLKQLEKACNIAKSAYERDRAVARKLERMADLALTNMYKEARINDKKSKVVSALQTMLFSMVRKLDNQALNSILDNAVKGCVPLNAIPSLAANTLTIIVPDKSVYDQVVDNVYVTYAGNVWQIQTIQDSDGTNKQLNEISDDCNWPLVIIANRHNEVSATVLQ
Reading sequence file /data//pss_subsets/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp5_VIPR_ALG4_QEY10630_1_11976_12566_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result/original_alignment/codeml/fasta/DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp5_VIPR_ALG4_QEY10630_1_11976_12566_1_2016_03_05_Morocco_Camel_Betacoronavirus_1.result.1
Found 30 sequences of length 591
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 1.8%
Found 27 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 4
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 24 polymorphic sites
**p-Value(s)**
----------
NSS: 4.10e-01 (1000 permutations)
Max Chi^2: 2.83e-01 (1000 permutations)
PHI (Permutation): 8.68e-01 (1000 permutations)
PHI (Normal): 8.14e-01
#NEXUS
[ID: 8280283988]
begin taxa;
dimensions ntax=30;
taxlabels
PHEV_CoV_swine_USA_15TOSU0582_2015_nsp5_VIPR_ALG4_ARC95217_1_11947_12537_1_2015_08_20_USA_Swine_Betacoronavirus_1
10574_2010_nsp5_VIPR_ALG4_701216890_11985_12575_1_2010_09_China_Human_Betacoronavirus_1
BJ_124_nsp5_VIPR_ALG4_AXX83300_1_11890_12480_1_2015_05_06_China_Unknown_Betacoronavirus_1
12691_2012_nsp5_VIPR_ALG4_701216736_11985_12575_1_2012_05_China_Human_Betacoronavirus_1
OC43_human_USA_912_10_1991_nsp5_VIPR_ALG4_530802237_11979_12569_1_1991_02_07_USA_Human_Betacoronavirus_1
PHEV_CoV_swine_USA_15TOSU1209_2015_nsp5_VIPR_ALG4_ARC95233_1_11947_12537_1_2015_07_25_USA_Swine_Betacoronavirus_1
TNP_12636_nsp5_VIPR_ALG4_AWW13571_1_11979_12569_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1
4_17_03_nsp5_VIPR_ALG4_AVZ61096_1_11986_12576_1_2017_04_USA_Cattle_Betacoronavirus_1
5484_2007_nsp5_VIPR_ALG4_701216799_11985_12575_1_2007_06_China_Human_Betacoronavirus_1
892A_2008_nsp5_VIPR_ALG4_701216876_11985_12575_1_2008_10_China_Human_Betacoronavirus_1
PHEV_CoV_swine_USA_15TOSU1655_2015_nsp5_VIPR_ALG4_ARC95241_1_11987_12577_1_2015_08_01_USA_Swine_Betacoronavirus_1
DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp5_VIPR_ALG4_QEY10630_1_11976_12566_1_2016_03_05_Morocco_Camel_Betacoronavirus_1
UNKNOWN_FJ425189_nsp5_VIPR_ALG4_215478151_11956_12546_1_1994_01_01_USA_Deer_Betacoronavirus_1
MY_U710_12_nsp5_VIPR_ALG4_AQN78701_1_11985_12575_1_2012_06_20_Malaysia_Human_Betacoronavirus_1
OC43_human_USA_901_33_1990_nsp5_VIPR_ALG4_530802226_11953_12543_1_1990_01_16_USA_Human_Betacoronavirus_1
OC43_human_USA_901_54_1990_nsp5_VIPR_ALG4_530802467_11966_12556_1_1990_01_23_USA_Human_Betacoronavirus_1
MDS11_nsp5_VIPR_ALG4_QBP84728_1_11965_12555_1_NA_NA_Unknown_Betacoronavirus_1
2145A_2010_nsp5_VIPR_ALG4_701216631_11985_12575_1_2010_07_China_Human_Betacoronavirus_1
OC43_human_USA_9211_43_1992_nsp5_VIPR_ALG4_530802566_11966_12556_1_1992_11_30_USA_Human_Betacoronavirus_1
10290_2010_nsp5_VIPR_ALG4_701216883_11985_12575_1_2010_07_China_Human_Betacoronavirus_1
Quebec_nsp5_VIPR_ALG4_17529671_11986_12576_1_NA_NA_Unknown_Betacoronavirus_1
R_AH65_TC_nsp5_VIPR_ALG4_145208921_11970_12560_1_NA_USA_Cattle_Betacoronavirus_1
TCG_25_nsp5_VIPR_ALG4_BBM61494_1_11957_12547_1_2017_12_Japan_Unknown_Betacoronavirus_1
TCG_26_nsp5_VIPR_ALG4_BBM61504_1_11959_12549_1_2017_12_Japan_Unknown_Betacoronavirus_1
TCG_29_nsp5_VIPR_ALG4_BBM61534_1_11959_12549_1_2017_12_Japan_Unknown_Betacoronavirus_1
TCG_8_nsp5_VIPR_ALG4_BBM61394_1_11959_12549_1_2008_01_Japan_Unknown_Betacoronavirus_1
TCG_9_nsp5_VIPR_ALG4_BBM61424_1_11947_12537_1_2008_03_Japan_Unknown_Betacoronavirus_1
E_AH65_nsp5_VIPR_ALG4_145208890_11986_12576_1_NA_USA_Cattle_Betacoronavirus_1
69A_2007_nsp5_VIPR_ALG4_701216862_11985_12575_1_2007_05_China_Human_Betacoronavirus_1
HCoV_OC43_Seattle_USA_SC2476_2015_nsp5_VIPR_ALG4_ARK08667_1_11947_12537_1_2015_USA_Human_Betacoronavirus_1
;
end;
begin trees;
translate
1 PHEV_CoV_swine_USA_15TOSU0582_2015_nsp5_VIPR_ALG4_ARC95217_1_11947_12537_1_2015_08_20_USA_Swine_Betacoronavirus_1,
2 10574_2010_nsp5_VIPR_ALG4_701216890_11985_12575_1_2010_09_China_Human_Betacoronavirus_1,
3 BJ_124_nsp5_VIPR_ALG4_AXX83300_1_11890_12480_1_2015_05_06_China_Unknown_Betacoronavirus_1,
4 12691_2012_nsp5_VIPR_ALG4_701216736_11985_12575_1_2012_05_China_Human_Betacoronavirus_1,
5 OC43_human_USA_912_10_1991_nsp5_VIPR_ALG4_530802237_11979_12569_1_1991_02_07_USA_Human_Betacoronavirus_1,
6 PHEV_CoV_swine_USA_15TOSU1209_2015_nsp5_VIPR_ALG4_ARC95233_1_11947_12537_1_2015_07_25_USA_Swine_Betacoronavirus_1,
7 TNP_12636_nsp5_VIPR_ALG4_AWW13571_1_11979_12569_1_2016_12_10_Cote_dIvoire_Human_Betacoronavirus_1,
8 4_17_03_nsp5_VIPR_ALG4_AVZ61096_1_11986_12576_1_2017_04_USA_Cattle_Betacoronavirus_1,
9 5484_2007_nsp5_VIPR_ALG4_701216799_11985_12575_1_2007_06_China_Human_Betacoronavirus_1,
10 892A_2008_nsp5_VIPR_ALG4_701216876_11985_12575_1_2008_10_China_Human_Betacoronavirus_1,
11 PHEV_CoV_swine_USA_15TOSU1655_2015_nsp5_VIPR_ALG4_ARC95241_1_11987_12577_1_2015_08_01_USA_Swine_Betacoronavirus_1,
12 DcCoV_HKU23_camel_Morocco_CAC2586_2016_nsp5_VIPR_ALG4_QEY10630_1_11976_12566_1_2016_03_05_Morocco_Camel_Betacoronavirus_1,
13 UNKNOWN_FJ425189_nsp5_VIPR_ALG4_215478151_11956_12546_1_1994_01_01_USA_Deer_Betacoronavirus_1,
14 MY_U710_12_nsp5_VIPR_ALG4_AQN78701_1_11985_12575_1_2012_06_20_Malaysia_Human_Betacoronavirus_1,
15 OC43_human_USA_901_33_1990_nsp5_VIPR_ALG4_530802226_11953_12543_1_1990_01_16_USA_Human_Betacoronavirus_1,
16 OC43_human_USA_901_54_1990_nsp5_VIPR_ALG4_530802467_11966_12556_1_1990_01_23_USA_Human_Betacoronavirus_1,
17 MDS11_nsp5_VIPR_ALG4_QBP84728_1_11965_12555_1_NA_NA_Unknown_Betacoronavirus_1,
18 2145A_2010_nsp5_VIPR_ALG4_701216631_11985_12575_1_2010_07_China_Human_Betacoronavirus_1,
19 OC43_human_USA_9211_43_1992_nsp5_VIPR_ALG4_530802566_11966_12556_1_1992_11_30_USA_Human_Betacoronavirus_1,
20 10290_2010_nsp5_VIPR_ALG4_701216883_11985_12575_1_2010_07_China_Human_Betacoronavirus_1,
21 Quebec_nsp5_VIPR_ALG4_17529671_11986_12576_1_NA_NA_Unknown_Betacoronavirus_1,
22 R_AH65_TC_nsp5_VIPR_ALG4_145208921_11970_12560_1_NA_USA_Cattle_Betacoronavirus_1,
23 TCG_25_nsp5_VIPR_ALG4_BBM61494_1_11957_12547_1_2017_12_Japan_Unknown_Betacoronavirus_1,
24 TCG_26_nsp5_VIPR_ALG4_BBM61504_1_11959_12549_1_2017_12_Japan_Unknown_Betacoronavirus_1,
25 TCG_29_nsp5_VIPR_ALG4_BBM61534_1_11959_12549_1_2017_12_Japan_Unknown_Betacoronavirus_1,
26 TCG_8_nsp5_VIPR_ALG4_BBM61394_1_11959_12549_1_2008_01_Japan_Unknown_Betacoronavirus_1,
27 TCG_9_nsp5_VIPR_ALG4_BBM61424_1_11947_12537_1_2008_03_Japan_Unknown_Betacoronavirus_1,
28 E_AH65_nsp5_VIPR_ALG4_145208890_11986_12576_1_NA_USA_Cattle_Betacoronavirus_1,
29 69A_2007_nsp5_VIPR_ALG4_701216862_11985_12575_1_2007_05_China_Human_Betacoronavirus_1,
30 HCoV_OC43_Seattle_USA_SC2476_2015_nsp5_VIPR_ALG4_ARK08667_1_11947_12537_1_2015_USA_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 = (1:2.798217e-03,(6:5.672675e-04,11:5.807239e-04)1.000:5.299398e-03,((((((2:6.166254e-04,3:5.785465e-04,7:1.429758e-03,9:6.133570e-04,14:6.018997e-04,17:5.762517e-04)0.928:1.440207e-03,4:6.265514e-04,10:1.488440e-03,20:5.859295e-04,29:5.772942e-04)0.973:1.571255e-03,18:6.331052e-04)0.957:1.537607e-03,(15:6.036628e-04,19:6.126651e-04)0.983:1.459688e-03,30:1.430051e-03)0.886:1.438282e-03,5:5.969401e-04,16:1.328694e-03)1.000:8.198786e-03,(((8:1.419991e-03,23:5.819122e-04,24:6.038685e-04,25:5.880605e-04,26:5.606385e-04,27:1.405348e-03,28:5.868476e-04)0.970:1.440874e-03,12:3.897882e-03,13:5.721101e-04,22:2.287194e-03)0.998:2.308791e-03,21:2.232812e-03)0.982:2.991466e-03)1.000:3.999600e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:2.798217e-03,(6:5.672675e-04,11:5.807239e-04):5.299398e-03,((((((2:6.166254e-04,3:5.785465e-04,7:1.429758e-03,9:6.133570e-04,14:6.018997e-04,17:5.762517e-04):1.440207e-03,4:6.265514e-04,10:1.488440e-03,20:5.859295e-04,29:5.772942e-04):1.571255e-03,18:6.331052e-04):1.537607e-03,(15:6.036628e-04,19:6.126651e-04):1.459688e-03,30:1.430051e-03):1.438282e-03,5:5.969401e-04,16:1.328694e-03):8.198786e-03,(((8:1.419991e-03,23:5.819122e-04,24:6.038685e-04,25:5.880605e-04,26:5.606385e-04,27:1.405348e-03,28:5.868476e-04):1.440874e-03,12:3.897882e-03,13:5.721101e-04,22:2.287194e-03):2.308791e-03,21:2.232812e-03):2.991466e-03):3.999600e-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 -1116.85 -1140.02
2 -1116.56 -1140.83
--------------------------------------
TOTAL -1116.70 -1140.50
--------------------------------------
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} 0.090463 0.000343 0.057592 0.127518 0.088794 886.17 1011.19 1.001
r(A<->C){all} 0.111071 0.002238 0.032584 0.205609 0.104412 409.29 429.94 1.002
r(A<->G){all} 0.214871 0.003674 0.100463 0.329858 0.208829 225.59 292.12 1.003
r(A<->T){all} 0.045000 0.000586 0.006203 0.091461 0.041046 554.24 604.64 1.000
r(C<->G){all} 0.029768 0.000847 0.000001 0.085042 0.021572 470.21 541.87 1.000
r(C<->T){all} 0.521911 0.006178 0.368449 0.663965 0.521621 355.90 369.08 1.005
r(G<->T){all} 0.077379 0.001165 0.016189 0.144129 0.073164 498.79 566.88 1.000
pi(A){all} 0.315221 0.000332 0.277848 0.349502 0.315495 1079.55 1144.25 1.000
pi(C){all} 0.142706 0.000203 0.114653 0.169773 0.142025 958.08 1009.08 1.000
pi(G){all} 0.218963 0.000267 0.184575 0.249290 0.218856 826.04 926.21 1.001
pi(T){all} 0.323111 0.000346 0.287333 0.359637 0.322657 961.56 962.52 1.000
alpha{1,2} 0.422033 0.344828 0.000508 1.566559 0.223218 918.51 992.53 1.000
alpha{3} 1.425985 1.140152 0.001081 3.478812 1.172092 679.24 757.22 1.001
pinvar{all} 0.568768 0.026425 0.204376 0.812223 0.599870 408.14 542.84 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_nsp5_VIPR_ALG4_QEY10630_1_11976_12566_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 = 197
Codon usage in sequences
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 3 3 3 2 3 3 | Ser TCT 5 5 5 5 5 5 | Tyr TAT 7 7 7 7 7 7 | Cys TGT 3 3 3 3 3 3
TTC 1 1 1 1 1 1 | TCC 0 0 0 0 0 0 | TAC 0 0 0 0 0 0 | TGC 0 0 0 0 0 0
Leu TTA 5 4 4 4 4 5 | TCA 3 3 3 3 3 3 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 6 7 7 7 7 6 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 2 2 2 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 3 2 3 3 3 3 | Pro CCT 1 1 1 1 1 1 | His CAT 0 0 0 0 0 0 | Arg CGT 4 4 4 4 4 4
CTC 0 1 0 0 0 0 | CCC 0 0 0 0 0 0 | CAC 0 0 0 0 0 0 | CGC 1 1 1 1 1 1
CTA 2 2 2 2 2 2 | CCA 3 3 3 3 3 3 | Gln CAA 5 5 5 7 5 5 | CGA 0 0 0 0 0 0
CTG 2 2 2 2 2 2 | CCG 0 0 0 0 0 0 | CAG 8 8 8 6 8 8 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 6 6 6 5 6 6 | Thr ACT 5 5 5 6 5 5 | Asn AAT 17 17 17 17 17 17 | Ser AGT 5 5 5 5 5 5
ATC 2 1 1 2 1 2 | ACC 1 1 1 1 1 1 | AAC 2 2 2 1 2 2 | AGC 1 1 1 1 1 1
ATA 5 4 4 3 5 5 | ACA 1 1 1 1 1 1 | Lys AAA 7 8 7 6 7 7 | Arg AGA 1 1 1 2 1 1
Met ATG 5 5 5 5 5 5 | ACG 0 0 0 0 0 0 | AAG 8 7 8 8 8 8 | AGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 10 10 10 11 10 10 | Ala GCT 13 13 13 14 13 13 | Asp GAT 11 11 11 11 11 11 | Gly GGT 4 4 4 4 4 4
GTC 0 1 1 1 1 0 | GCC 2 2 2 2 2 2 | GAC 2 2 2 2 2 2 | GGC 0 0 0 0 0 0
GTA 5 6 6 6 5 5 | GCA 5 5 5 6 5 5 | Glu GAA 5 5 4 5 5 5 | GGA 0 0 0 0 0 0
GTG 2 2 2 2 2 2 | GCG 2 2 2 1 2 2 | GAG 5 5 6 5 5 5 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 3 2 2 3 3 2 | Ser TCT 5 6 6 5 5 6 | Tyr TAT 7 5 5 7 7 6 | Cys TGT 3 3 3 3 3 3
TTC 1 1 1 1 1 1 | TCC 0 0 0 0 0 0 | TAC 0 1 1 0 0 0 | TGC 0 0 0 0 0 0
Leu TTA 4 4 4 5 5 4 | TCA 3 3 3 3 3 3 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 7 7 7 6 6 7 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 2 2 2 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 3 2 2 3 3 2 | Pro CCT 1 1 1 1 1 1 | His CAT 0 1 1 0 0 1 | Arg CGT 4 4 4 4 4 5
CTC 0 1 1 0 0 1 | CCC 0 0 0 0 0 0 | CAC 0 0 0 0 0 0 | CGC 1 1 1 1 1 1
CTA 2 2 2 2 2 2 | CCA 3 3 3 3 3 3 | Gln CAA 5 6 6 5 5 6 | CGA 0 0 0 0 0 0
CTG 2 2 2 2 2 2 | CCG 0 0 0 0 0 0 | CAG 8 7 7 8 8 7 | CGG 1 1 1 1 1 0
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 6 6 6 6 6 5 | Thr ACT 5 5 5 5 5 6 | Asn AAT 17 17 17 17 17 16 | Ser AGT 5 5 5 5 5 5
ATC 1 2 2 1 2 2 | ACC 1 2 2 1 1 1 | AAC 2 1 1 2 2 2 | AGC 1 1 1 1 1 1
ATA 4 3 3 5 5 3 | ACA 1 1 1 1 1 1 | Lys AAA 7 6 6 7 7 7 | Arg AGA 1 2 2 1 1 2
Met ATG 5 5 5 5 5 5 | ACG 0 0 0 0 0 0 | AAG 8 8 8 8 8 7 | AGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 10 10 10 10 10 11 | Ala GCT 13 13 12 13 13 14 | Asp GAT 11 11 11 11 11 11 | Gly GGT 4 4 4 4 4 4
GTC 1 1 1 1 0 1 | GCC 2 2 2 2 2 1 | GAC 2 2 2 2 2 2 | GGC 0 0 0 0 0 0
GTA 6 6 6 5 5 6 | GCA 5 5 6 5 5 6 | Glu GAA 4 5 5 5 5 5 | GGA 0 0 0 0 0 0
GTG 2 2 2 2 2 2 | GCG 2 2 2 2 2 1 | GAG 6 5 5 5 5 5 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 3 2 2 3 3 2 | Ser TCT 5 6 6 5 5 5 | Tyr TAT 7 6 5 7 7 7 | Cys TGT 3 4 3 3 3 3
TTC 1 1 1 1 1 1 | TCC 0 0 0 0 0 0 | TAC 0 0 1 0 0 0 | TGC 0 0 0 0 0 0
Leu TTA 5 4 4 4 5 4 | TCA 3 3 3 3 3 3 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 6 7 7 7 6 7 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 2 2 2 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 3 2 2 2 3 3 | Pro CCT 1 1 1 1 1 1 | His CAT 0 2 1 0 0 0 | Arg CGT 4 3 4 4 4 4
CTC 0 1 1 1 0 0 | CCC 0 0 0 0 0 0 | CAC 0 0 0 0 0 0 | CGC 1 1 1 1 1 1
CTA 2 2 2 2 2 2 | CCA 3 3 3 3 3 3 | Gln CAA 5 6 6 5 5 7 | CGA 0 0 0 0 0 0
CTG 2 2 2 2 2 2 | CCG 0 0 0 0 0 0 | CAG 8 7 7 8 8 6 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 6 6 6 6 6 5 | Thr ACT 5 5 5 5 5 6 | Asn AAT 17 16 17 17 17 17 | Ser AGT 5 5 5 5 5 5
ATC 2 2 2 1 1 2 | ACC 1 2 2 1 1 1 | AAC 2 1 1 2 2 1 | AGC 1 1 1 1 1 1
ATA 5 3 3 4 5 3 | ACA 1 1 1 1 1 1 | Lys AAA 7 6 6 7 7 6 | Arg AGA 1 2 2 1 1 2
Met ATG 5 5 5 5 5 5 | ACG 0 0 0 0 0 0 | AAG 8 8 8 8 8 8 | AGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 10 10 10 10 10 11 | Ala GCT 13 12 14 13 13 14 | Asp GAT 11 11 12 11 11 11 | Gly GGT 4 4 4 4 4 4
GTC 0 1 1 1 1 1 | GCC 2 2 1 2 2 2 | GAC 2 2 1 2 2 2 | GGC 0 0 0 0 0 0
GTA 5 6 6 6 5 6 | GCA 5 6 5 5 5 6 | Glu GAA 5 5 5 5 5 5 | GGA 0 0 0 0 0 0
GTG 2 2 2 2 2 2 | GCG 2 2 2 2 2 1 | GAG 5 5 5 5 5 5 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 2 2 2 3 2 2 | Ser TCT 6 6 6 5 6 6 | Tyr TAT 5 5 5 7 5 5 | Cys TGT 3 3 3 3 3 3
TTC 1 1 1 1 1 1 | TCC 0 0 0 0 0 0 | TAC 1 1 1 0 1 1 | TGC 0 0 0 0 0 0
Leu TTA 4 4 4 5 4 4 | TCA 3 3 3 3 3 3 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 7 7 7 6 7 7 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 2 2 2 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 2 2 2 3 2 3 | Pro CCT 1 1 1 1 1 1 | His CAT 1 1 2 0 1 1 | Arg CGT 4 4 4 4 4 4
CTC 1 1 1 0 1 0 | CCC 0 0 0 0 0 0 | CAC 0 0 0 0 0 0 | CGC 1 1 1 1 1 1
CTA 2 2 2 2 2 2 | CCA 3 3 3 3 3 3 | Gln CAA 6 6 6 5 6 6 | CGA 0 0 0 0 0 0
CTG 2 2 2 2 2 2 | CCG 0 0 0 0 0 0 | CAG 7 7 6 8 7 7 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 6 6 6 6 6 6 | Thr ACT 5 5 5 5 5 5 | Asn AAT 17 17 17 17 17 17 | Ser AGT 5 5 5 5 5 5
ATC 2 2 2 2 2 2 | ACC 2 2 2 1 2 2 | AAC 1 1 1 2 1 1 | AGC 1 1 1 1 1 1
ATA 3 3 3 5 3 3 | ACA 1 1 1 1 1 1 | Lys AAA 6 6 6 8 6 6 | Arg AGA 2 2 2 1 2 2
Met ATG 5 5 5 5 5 5 | ACG 0 0 0 0 0 0 | AAG 8 8 8 7 8 8 | AGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 10 10 10 10 10 10 | Ala GCT 12 12 12 13 12 12 | Asp GAT 11 11 11 11 11 11 | Gly GGT 4 4 4 4 4 4
GTC 1 1 1 0 1 1 | GCC 2 2 2 2 2 2 | GAC 2 2 2 2 2 2 | GGC 0 0 0 0 0 0
GTA 6 6 6 5 6 6 | GCA 6 6 6 5 6 6 | Glu GAA 5 5 5 5 5 5 | GGA 0 0 0 0 0 0
GTG 2 2 2 2 2 2 | GCG 2 2 2 2 2 2 | GAG 5 5 5 5 5 5 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 2 3 3 3 3 3 | Ser TCT 6 5 5 5 5 6 | Tyr TAT 5 7 7 6 7 5 | Cys TGT 3 3 3 4 3 3
TTC 1 1 1 1 1 0 | TCC 0 1 0 0 0 0 | TAC 1 0 0 0 0 1 | TGC 0 0 0 0 0 0
Leu TTA 4 5 5 4 5 4 | TCA 3 2 3 3 3 3 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 7 6 6 7 6 7 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 2 2 2 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 2 3 3 3 3 3 | Pro CCT 1 1 1 1 1 1 | His CAT 1 0 0 0 0 1 | Arg CGT 4 4 4 4 4 4
CTC 1 0 0 0 0 0 | CCC 0 0 0 0 0 0 | CAC 0 0 0 0 0 0 | CGC 1 1 1 1 1 1
CTA 2 2 2 2 2 2 | CCA 3 3 3 3 3 3 | Gln CAA 6 5 5 5 5 6 | CGA 0 0 0 0 0 0
CTG 2 2 2 2 2 2 | CCG 0 0 0 0 0 0 | CAG 7 8 8 8 8 7 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 6 6 6 6 6 6 | Thr ACT 5 5 5 5 5 5 | Asn AAT 17 17 17 17 17 16 | Ser AGT 5 5 5 5 5 5
ATC 2 1 2 1 1 2 | ACC 2 1 1 1 1 2 | AAC 1 2 2 2 2 2 | AGC 1 1 1 1 1 1
ATA 3 5 5 4 5 3 | ACA 1 1 1 1 1 1 | Lys AAA 6 7 7 7 7 6 | Arg AGA 2 1 1 1 1 2
Met ATG 5 5 5 5 5 5 | ACG 0 0 0 0 0 0 | AAG 8 8 8 8 8 8 | AGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 10 10 10 10 10 9 | Ala GCT 12 13 13 13 13 13 | Asp GAT 11 11 11 11 11 11 | Gly GGT 4 4 4 4 4 4
GTC 1 1 0 1 1 2 | GCC 2 2 2 2 2 2 | GAC 2 2 2 2 2 2 | GGC 0 0 0 0 0 0
GTA 6 5 5 6 5 6 | GCA 6 5 5 5 5 5 | Glu GAA 5 5 5 5 5 5 | GGA 0 0 0 0 0 0
GTG 2 2 2 2 2 2 | GCG 2 2 2 2 2 2 | GAG 5 5 5 5 5 5 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Codon position x base (3x4) table for each sequence.
#1: C154
position 1: T:0.17766 C:0.15228 A:0.33503 G:0.33503
position 2: T:0.28934 C:0.20812 A:0.39086 G:0.11168
position 3: T:0.49239 C:0.06091 A:0.23858 G:0.20812
Average T:0.31980 C:0.14044 A:0.32149 G:0.21827
#2: C182
position 1: T:0.17766 C:0.15228 A:0.32487 G:0.34518
position 2: T:0.28934 C:0.20812 A:0.39086 G:0.11168
position 3: T:0.48731 C:0.06599 A:0.23858 G:0.20812
Average T:0.31810 C:0.14213 A:0.31810 G:0.22166
#3: C179
position 1: T:0.17766 C:0.15228 A:0.32487 G:0.34518
position 2: T:0.28934 C:0.20812 A:0.39086 G:0.11168
position 3: T:0.49239 C:0.06091 A:0.22843 G:0.21827
Average T:0.31980 C:0.14044 A:0.31472 G:0.22504
#4: C215
position 1: T:0.17259 C:0.15228 A:0.31980 G:0.35533
position 2: T:0.28426 C:0.21827 A:0.38071 G:0.11675
position 3: T:0.49746 C:0.06091 A:0.24365 G:0.19797
Average T:0.31810 C:0.14382 A:0.31472 G:0.22335
#5: C16
position 1: T:0.17766 C:0.15228 A:0.32995 G:0.34010
position 2: T:0.28934 C:0.20812 A:0.39086 G:0.11168
position 3: T:0.49239 C:0.06091 A:0.23350 G:0.21320
Average T:0.31980 C:0.14044 A:0.31810 G:0.22166
#6: C136
position 1: T:0.17766 C:0.15228 A:0.33503 G:0.33503
position 2: T:0.28934 C:0.20812 A:0.39086 G:0.11168
position 3: T:0.49239 C:0.06091 A:0.23858 G:0.20812
Average T:0.31980 C:0.14044 A:0.32149 G:0.21827
#7: C192
position 1: T:0.17766 C:0.15228 A:0.32487 G:0.34518
position 2: T:0.28934 C:0.20812 A:0.39086 G:0.11168
position 3: T:0.49239 C:0.06091 A:0.22843 G:0.21827
Average T:0.31980 C:0.14044 A:0.31472 G:0.22504
#8: C278
position 1: T:0.17259 C:0.15736 A:0.32487 G:0.34518
position 2: T:0.28426 C:0.21827 A:0.38071 G:0.11675
position 3: T:0.48223 C:0.07614 A:0.23350 G:0.20812
Average T:0.31303 C:0.15059 A:0.31303 G:0.22335
#9: C73
position 1: T:0.17259 C:0.15736 A:0.32487 G:0.34518
position 2: T:0.28426 C:0.21827 A:0.38071 G:0.11675
position 3: T:0.47716 C:0.07614 A:0.23858 G:0.20812
Average T:0.31134 C:0.15059 A:0.31472 G:0.22335
#10: C3
position 1: T:0.17766 C:0.15228 A:0.32995 G:0.34010
position 2: T:0.28934 C:0.20812 A:0.39086 G:0.11168
position 3: T:0.49239 C:0.06091 A:0.23858 G:0.20812
Average T:0.31980 C:0.14044 A:0.31980 G:0.21997
#11: C5
position 1: T:0.17766 C:0.15228 A:0.33503 G:0.33503
position 2: T:0.28934 C:0.20812 A:0.39086 G:0.11168
position 3: T:0.49239 C:0.06091 A:0.23858 G:0.20812
Average T:0.31980 C:0.14044 A:0.32149 G:0.21827
#12: C212
position 1: T:0.17259 C:0.15736 A:0.31980 G:0.35025
position 2: T:0.28426 C:0.21827 A:0.38071 G:0.11675
position 3: T:0.49746 C:0.06599 A:0.24365 G:0.19289
Average T:0.31810 C:0.14721 A:0.31472 G:0.21997
#13: C59
position 1: T:0.17766 C:0.15228 A:0.33503 G:0.33503
position 2: T:0.28934 C:0.20812 A:0.39086 G:0.11168
position 3: T:0.49239 C:0.06091 A:0.23858 G:0.20812
Average T:0.31980 C:0.14044 A:0.32149 G:0.21827
#14: C220
position 1: T:0.17766 C:0.15736 A:0.31980 G:0.34518
position 2: T:0.28426 C:0.21827 A:0.38071 G:0.11675
position 3: T:0.48223 C:0.07107 A:0.23858 G:0.20812
Average T:0.31472 C:0.14890 A:0.31303 G:0.22335
#15: C223
position 1: T:0.17259 C:0.15736 A:0.32487 G:0.34518
position 2: T:0.28426 C:0.21827 A:0.38071 G:0.11675
position 3: T:0.49239 C:0.06599 A:0.23350 G:0.20812
Average T:0.31641 C:0.14721 A:0.31303 G:0.22335
#16: C187
position 1: T:0.17766 C:0.15228 A:0.32487 G:0.34518
position 2: T:0.28934 C:0.20812 A:0.39086 G:0.11168
position 3: T:0.48731 C:0.06599 A:0.23350 G:0.21320
Average T:0.31810 C:0.14213 A:0.31641 G:0.22335
#17: C4
position 1: T:0.17766 C:0.15228 A:0.32995 G:0.34010
position 2: T:0.28934 C:0.20812 A:0.39086 G:0.11168
position 3: T:0.49239 C:0.06091 A:0.23858 G:0.20812
Average T:0.31980 C:0.14044 A:0.31980 G:0.21997
#18: C213
position 1: T:0.17259 C:0.15228 A:0.31980 G:0.35533
position 2: T:0.28426 C:0.21827 A:0.38071 G:0.11675
position 3: T:0.49746 C:0.06091 A:0.24365 G:0.19797
Average T:0.31810 C:0.14382 A:0.31472 G:0.22335
#19: C248
position 1: T:0.17259 C:0.15736 A:0.32487 G:0.34518
position 2: T:0.28426 C:0.21827 A:0.38071 G:0.11675
position 3: T:0.47716 C:0.07614 A:0.23858 G:0.20812
Average T:0.31134 C:0.15059 A:0.31472 G:0.22335
#20: C247
position 1: T:0.17259 C:0.15736 A:0.32487 G:0.34518
position 2: T:0.28426 C:0.21827 A:0.38071 G:0.11675
position 3: T:0.47716 C:0.07614 A:0.23858 G:0.20812
Average T:0.31134 C:0.15059 A:0.31472 G:0.22335
#21: C27
position 1: T:0.17259 C:0.15736 A:0.32487 G:0.34518
position 2: T:0.28426 C:0.21827 A:0.38071 G:0.11675
position 3: T:0.48223 C:0.07614 A:0.23858 G:0.20305
Average T:0.31303 C:0.15059 A:0.31472 G:0.22166
#22: C262
position 1: T:0.17766 C:0.15228 A:0.33503 G:0.33503
position 2: T:0.28934 C:0.20812 A:0.39086 G:0.11168
position 3: T:0.49239 C:0.06091 A:0.24365 G:0.20305
Average T:0.31980 C:0.14044 A:0.32318 G:0.21658
#23: C261
position 1: T:0.17259 C:0.15736 A:0.32487 G:0.34518
position 2: T:0.28426 C:0.21827 A:0.38071 G:0.11675
position 3: T:0.47716 C:0.07614 A:0.23858 G:0.20812
Average T:0.31134 C:0.15059 A:0.31472 G:0.22335
#24: C263
position 1: T:0.17259 C:0.15736 A:0.32487 G:0.34518
position 2: T:0.28426 C:0.21827 A:0.38071 G:0.11675
position 3: T:0.48223 C:0.07107 A:0.23858 G:0.20812
Average T:0.31303 C:0.14890 A:0.31472 G:0.22335
#25: C251
position 1: T:0.17259 C:0.15736 A:0.32487 G:0.34518
position 2: T:0.28426 C:0.21827 A:0.38071 G:0.11675
position 3: T:0.47716 C:0.07614 A:0.23858 G:0.20812
Average T:0.31134 C:0.15059 A:0.31472 G:0.22335
#26: C51
position 1: T:0.17766 C:0.15228 A:0.32995 G:0.34010
position 2: T:0.28934 C:0.20812 A:0.39086 G:0.11168
position 3: T:0.49239 C:0.06599 A:0.23350 G:0.20812
Average T:0.31980 C:0.14213 A:0.31810 G:0.21997
#27: C39
position 1: T:0.17766 C:0.15228 A:0.33503 G:0.33503
position 2: T:0.28934 C:0.20812 A:0.39086 G:0.11168
position 3: T:0.49239 C:0.06091 A:0.23858 G:0.20812
Average T:0.31980 C:0.14044 A:0.32149 G:0.21827
#28: C84
position 1: T:0.17766 C:0.15228 A:0.32487 G:0.34518
position 2: T:0.28934 C:0.20812 A:0.38579 G:0.11675
position 3: T:0.49239 C:0.06091 A:0.23350 G:0.21320
Average T:0.31980 C:0.14044 A:0.31472 G:0.22504
#29: C48
position 1: T:0.17766 C:0.15228 A:0.32995 G:0.34010
position 2: T:0.28934 C:0.20812 A:0.39086 G:0.11168
position 3: T:0.49239 C:0.06091 A:0.23858 G:0.20812
Average T:0.31980 C:0.14044 A:0.31980 G:0.21997
#30: C67
position 1: T:0.17259 C:0.15736 A:0.32487 G:0.34518
position 2: T:0.28426 C:0.21827 A:0.38071 G:0.11675
position 3: T:0.48223 C:0.07614 A:0.23350 G:0.20812
Average T:0.31303 C:0.15059 A:0.31303 G:0.22335
Sums of codon usage counts
------------------------------------------------------------------------------
Phe F TTT 77 | Ser S TCT 162 | Tyr Y TAT 187 | Cys C TGT 92
TTC 29 | TCC 1 | TAC 10 | TGC 0
Leu L TTA 130 | TCA 89 | *** * TAA 0 | *** * TGA 0
TTG 200 | TCG 0 | TAG 0 | Trp W TGG 60
------------------------------------------------------------------------------
Leu L CTT 78 | Pro P CCT 30 | His H CAT 14 | Arg R CGT 120
CTC 12 | CCC 0 | CAC 0 | CGC 30
CTA 60 | CCA 90 | Gln Q CAA 166 | CGA 0
CTG 60 | CCG 0 | CAG 223 | CGG 29
------------------------------------------------------------------------------
Ile I ATT 177 | Thr T ACT 153 | Asn N AAT 507 | Ser S AGT 150
ATC 50 | ACC 41 | AAC 48 | AGC 30
ATA 117 | ACA 30 | Lys K AAA 199 | Arg R AGA 44
Met M ATG 150 | ACG 0 | AAG 237 | AGG 0
------------------------------------------------------------------------------
Val V GTT 302 | Ala A GCT 386 | Asp D GAT 331 | Gly G GGT 120
GTC 25 | GCC 58 | GAC 59 | GGC 0
GTA 169 | GCA 161 | Glu E GAA 148 | GGA 0
GTG 60 | GCG 57 | GAG 152 | GGG 0
------------------------------------------------------------------------------
Codon position x base (3x4) table, overall
position 1: T:0.17547 C:0.15431 A:0.32707 G:0.34315
position 2: T:0.28697 C:0.21286 A:0.38596 G:0.11421
position 3: T:0.48832 C:0.06650 A:0.23739 G:0.20778
Average T:0.31692 C:0.14456 A:0.31681 G:0.22171
Model 1: NearlyNeutral (2 categories)
TREE # 1: (12, (18, 4), ((((((11, 13, 22, 27, 1, 6), 17, 26, 10, 29), 5), (3, 7), 28), 16, 2), (((21, 20, 19, 25, 23, 24, 9), 30, 8, 15), 14))); MP score: 45
lnL(ntime: 41 np: 44): -1030.675148 +0.000000
31..12 31..32 32..18 32..4 31..33 33..34 34..35 35..36 36..37 37..38 38..11 38..13 38..22 38..27 38..1 38..6 37..17 37..26 37..10 37..29 36..5 35..39 39..3 39..7 35..28 34..16 34..2 33..40 40..41 41..42 42..21 42..20 42..19 42..25 42..23 42..24 42..9 41..30 41..8 41..15 40..14
0.012510 0.031435 0.000004 0.000004 0.021847 0.045484 0.005246 0.005258 0.005261 0.005264 0.000004 0.000004 0.005267 0.000004 0.000004 0.000004 0.000004 0.005272 0.000004 0.000004 0.000004 0.005252 0.000004 0.000004 0.005266 0.000004 0.005239 0.015108 0.010709 0.005247 0.005219 0.000004 0.000004 0.000004 0.000004 0.005238 0.000004 0.021114 0.000004 0.010616 0.010973 4.481502 0.920155 0.016153
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.242905
(12: 0.012510, (18: 0.000004, 4: 0.000004): 0.031435, ((((((11: 0.000004, 13: 0.000004, 22: 0.005267, 27: 0.000004, 1: 0.000004, 6: 0.000004): 0.005264, 17: 0.000004, 26: 0.005272, 10: 0.000004, 29: 0.000004): 0.005261, 5: 0.000004): 0.005258, (3: 0.000004, 7: 0.000004): 0.005252, 28: 0.005266): 0.005246, 16: 0.000004, 2: 0.005239): 0.045484, (((21: 0.005219, 20: 0.000004, 19: 0.000004, 25: 0.000004, 23: 0.000004, 24: 0.005238, 9: 0.000004): 0.005247, 30: 0.021114, 8: 0.000004, 15: 0.010616): 0.010709, 14: 0.010973): 0.015108): 0.021847);
(C212: 0.012510, (C213: 0.000004, C215: 0.000004): 0.031435, ((((((C5: 0.000004, C59: 0.000004, C262: 0.005267, C39: 0.000004, C154: 0.000004, C136: 0.000004): 0.005264, C4: 0.000004, C51: 0.005272, C3: 0.000004, C48: 0.000004): 0.005261, C16: 0.000004): 0.005258, (C179: 0.000004, C192: 0.000004): 0.005252, C84: 0.005266): 0.005246, C187: 0.000004, C182: 0.005239): 0.045484, (((C27: 0.005219, C247: 0.000004, C248: 0.000004, C251: 0.000004, C261: 0.000004, C263: 0.005238, C73: 0.000004): 0.005247, C67: 0.021114, C278: 0.000004, C223: 0.010616): 0.010709, C220: 0.010973): 0.015108): 0.021847);
Detailed output identifying parameters
kappa (ts/tv) = 4.48150
MLEs of dN/dS (w) for site classes (K=2)
p: 0.92015 0.07985
w: 0.01615 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.013 484.1 106.9 0.0947 0.0015 0.0161 0.7 1.7
31..32 0.031 484.1 106.9 0.0947 0.0038 0.0405 1.9 4.3
32..18 0.000 484.1 106.9 0.0947 0.0000 0.0000 0.0 0.0
32..4 0.000 484.1 106.9 0.0947 0.0000 0.0000 0.0 0.0
31..33 0.022 484.1 106.9 0.0947 0.0027 0.0282 1.3 3.0
33..34 0.045 484.1 106.9 0.0947 0.0056 0.0587 2.7 6.3
34..35 0.005 484.1 106.9 0.0947 0.0006 0.0068 0.3 0.7
35..36 0.005 484.1 106.9 0.0947 0.0006 0.0068 0.3 0.7
36..37 0.005 484.1 106.9 0.0947 0.0006 0.0068 0.3 0.7
37..38 0.005 484.1 106.9 0.0947 0.0006 0.0068 0.3 0.7
38..11 0.000 484.1 106.9 0.0947 0.0000 0.0000 0.0 0.0
38..13 0.000 484.1 106.9 0.0947 0.0000 0.0000 0.0 0.0
38..22 0.005 484.1 106.9 0.0947 0.0006 0.0068 0.3 0.7
38..27 0.000 484.1 106.9 0.0947 0.0000 0.0000 0.0 0.0
38..1 0.000 484.1 106.9 0.0947 0.0000 0.0000 0.0 0.0
38..6 0.000 484.1 106.9 0.0947 0.0000 0.0000 0.0 0.0
37..17 0.000 484.1 106.9 0.0947 0.0000 0.0000 0.0 0.0
37..26 0.005 484.1 106.9 0.0947 0.0006 0.0068 0.3 0.7
37..10 0.000 484.1 106.9 0.0947 0.0000 0.0000 0.0 0.0
37..29 0.000 484.1 106.9 0.0947 0.0000 0.0000 0.0 0.0
36..5 0.000 484.1 106.9 0.0947 0.0000 0.0000 0.0 0.0
35..39 0.005 484.1 106.9 0.0947 0.0006 0.0068 0.3 0.7
39..3 0.000 484.1 106.9 0.0947 0.0000 0.0000 0.0 0.0
39..7 0.000 484.1 106.9 0.0947 0.0000 0.0000 0.0 0.0
35..28 0.005 484.1 106.9 0.0947 0.0006 0.0068 0.3 0.7
34..16 0.000 484.1 106.9 0.0947 0.0000 0.0000 0.0 0.0
34..2 0.005 484.1 106.9 0.0947 0.0006 0.0068 0.3 0.7
33..40 0.015 484.1 106.9 0.0947 0.0018 0.0195 0.9 2.1
40..41 0.011 484.1 106.9 0.0947 0.0013 0.0138 0.6 1.5
41..42 0.005 484.1 106.9 0.0947 0.0006 0.0068 0.3 0.7
42..21 0.005 484.1 106.9 0.0947 0.0006 0.0067 0.3 0.7
42..20 0.000 484.1 106.9 0.0947 0.0000 0.0000 0.0 0.0
42..19 0.000 484.1 106.9 0.0947 0.0000 0.0000 0.0 0.0
42..25 0.000 484.1 106.9 0.0947 0.0000 0.0000 0.0 0.0
42..23 0.000 484.1 106.9 0.0947 0.0000 0.0000 0.0 0.0
42..24 0.005 484.1 106.9 0.0947 0.0006 0.0068 0.3 0.7
42..9 0.000 484.1 106.9 0.0947 0.0000 0.0000 0.0 0.0
41..30 0.021 484.1 106.9 0.0947 0.0026 0.0272 1.2 2.9
41..8 0.000 484.1 106.9 0.0947 0.0000 0.0000 0.0 0.0
41..15 0.011 484.1 106.9 0.0947 0.0013 0.0137 0.6 1.5
40..14 0.011 484.1 106.9 0.0947 0.0013 0.0142 0.6 1.5
Time used: 2:18
Model 2: PositiveSelection (3 categories)
TREE # 1: (12, (18, 4), ((((((11, 13, 22, 27, 1, 6), 17, 26, 10, 29), 5), (3, 7), 28), 16, 2), (((21, 20, 19, 25, 23, 24, 9), 30, 8, 15), 14))); MP score: 45
lnL(ntime: 41 np: 46): -1030.405839 +0.000000
31..12 31..32 32..18 32..4 31..33 33..34 34..35 35..36 36..37 37..38 38..11 38..13 38..22 38..27 38..1 38..6 37..17 37..26 37..10 37..29 36..5 35..39 39..3 39..7 35..28 34..16 34..2 33..40 40..41 41..42 42..21 42..20 42..19 42..25 42..23 42..24 42..9 41..30 41..8 41..15 40..14
0.012691 0.031809 0.000004 0.000004 0.022432 0.045893 0.005318 0.005329 0.005331 0.005332 0.000004 0.000004 0.005335 0.000004 0.000004 0.000004 0.000004 0.005342 0.000004 0.000004 0.000004 0.005324 0.000004 0.000004 0.005346 0.000004 0.005310 0.015295 0.010845 0.005313 0.005276 0.000004 0.000004 0.000004 0.000004 0.005305 0.000004 0.021400 0.000004 0.010752 0.011079 4.659488 0.965428 0.000000 0.037446 2.029047
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.246139
(12: 0.012691, (18: 0.000004, 4: 0.000004): 0.031809, ((((((11: 0.000004, 13: 0.000004, 22: 0.005335, 27: 0.000004, 1: 0.000004, 6: 0.000004): 0.005332, 17: 0.000004, 26: 0.005342, 10: 0.000004, 29: 0.000004): 0.005331, 5: 0.000004): 0.005329, (3: 0.000004, 7: 0.000004): 0.005324, 28: 0.005346): 0.005318, 16: 0.000004, 2: 0.005310): 0.045893, (((21: 0.005276, 20: 0.000004, 19: 0.000004, 25: 0.000004, 23: 0.000004, 24: 0.005305, 9: 0.000004): 0.005313, 30: 0.021400, 8: 0.000004, 15: 0.010752): 0.010845, 14: 0.011079): 0.015295): 0.022432);
(C212: 0.012691, (C213: 0.000004, C215: 0.000004): 0.031809, ((((((C5: 0.000004, C59: 0.000004, C262: 0.005335, C39: 0.000004, C154: 0.000004, C136: 0.000004): 0.005332, C4: 0.000004, C51: 0.005342, C3: 0.000004, C48: 0.000004): 0.005331, C16: 0.000004): 0.005329, (C179: 0.000004, C192: 0.000004): 0.005324, C84: 0.005346): 0.005318, C187: 0.000004, C182: 0.005310): 0.045893, (((C27: 0.005276, C247: 0.000004, C248: 0.000004, C251: 0.000004, C261: 0.000004, C263: 0.005305, C73: 0.000004): 0.005313, C67: 0.021400, C278: 0.000004, C223: 0.010752): 0.010845, C220: 0.011079): 0.015295): 0.022432);
Detailed output identifying parameters
kappa (ts/tv) = 4.65949
MLEs of dN/dS (w) for site classes (K=3)
p: 0.96543 0.00000 0.03457
w: 0.03745 1.00000 2.02905
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.013 483.7 107.3 0.1063 0.0017 0.0158 0.8 1.7
31..32 0.032 483.7 107.3 0.1063 0.0042 0.0395 2.0 4.2
32..18 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
32..4 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
31..33 0.022 483.7 107.3 0.1063 0.0030 0.0278 1.4 3.0
33..34 0.046 483.7 107.3 0.1063 0.0061 0.0570 2.9 6.1
34..35 0.005 483.7 107.3 0.1063 0.0007 0.0066 0.3 0.7
35..36 0.005 483.7 107.3 0.1063 0.0007 0.0066 0.3 0.7
36..37 0.005 483.7 107.3 0.1063 0.0007 0.0066 0.3 0.7
37..38 0.005 483.7 107.3 0.1063 0.0007 0.0066 0.3 0.7
38..11 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
38..13 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
38..22 0.005 483.7 107.3 0.1063 0.0007 0.0066 0.3 0.7
38..27 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
38..1 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
38..6 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
37..17 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
37..26 0.005 483.7 107.3 0.1063 0.0007 0.0066 0.3 0.7
37..10 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
37..29 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
36..5 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
35..39 0.005 483.7 107.3 0.1063 0.0007 0.0066 0.3 0.7
39..3 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
39..7 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
35..28 0.005 483.7 107.3 0.1063 0.0007 0.0066 0.3 0.7
34..16 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
34..2 0.005 483.7 107.3 0.1063 0.0007 0.0066 0.3 0.7
33..40 0.015 483.7 107.3 0.1063 0.0020 0.0190 1.0 2.0
40..41 0.011 483.7 107.3 0.1063 0.0014 0.0135 0.7 1.4
41..42 0.005 483.7 107.3 0.1063 0.0007 0.0066 0.3 0.7
42..21 0.005 483.7 107.3 0.1063 0.0007 0.0065 0.3 0.7
42..20 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
42..19 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
42..25 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
42..23 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
42..24 0.005 483.7 107.3 0.1063 0.0007 0.0066 0.3 0.7
42..9 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
41..30 0.021 483.7 107.3 0.1063 0.0028 0.0266 1.4 2.8
41..8 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
41..15 0.011 483.7 107.3 0.1063 0.0014 0.0133 0.7 1.4
40..14 0.011 483.7 107.3 0.1063 0.0015 0.0138 0.7 1.5
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C154)
Pr(w>1) post mean +- SE for w
27 F 0.965* 1.960
146 I 0.588 1.209
156 Q 0.531 1.096
188 Y 0.999** 2.027
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: C154)
Pr(w>1) post mean +- SE for w
27 F 0.620 2.124 +- 1.511
188 Y 0.785 2.583 +- 1.631
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: 0.349 0.278 0.171 0.094 0.050 0.026 0.014 0.008 0.005 0.003
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 0.010
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.001 0.022 0.968
sum of density on p0-p1 = 1.000000
Time used: 6:55
Model 7: beta (10 categories)
TREE # 1: (12, (18, 4), ((((((11, 13, 22, 27, 1, 6), 17, 26, 10, 29), 5), (3, 7), 28), 16, 2), (((21, 20, 19, 25, 23, 24, 9), 30, 8, 15), 14))); MP score: 45
lnL(ntime: 41 np: 44): -1030.744193 +0.000000
31..12 31..32 32..18 32..4 31..33 33..34 34..35 35..36 36..37 37..38 38..11 38..13 38..22 38..27 38..1 38..6 37..17 37..26 37..10 37..29 36..5 35..39 39..3 39..7 35..28 34..16 34..2 33..40 40..41 41..42 42..21 42..20 42..19 42..25 42..23 42..24 42..9 41..30 41..8 41..15 40..14
0.012662 0.031795 0.000004 0.000004 0.021939 0.046035 0.005289 0.005298 0.005299 0.005301 0.000004 0.000004 0.005305 0.000004 0.000004 0.000004 0.000004 0.005310 0.000004 0.000004 0.000004 0.005294 0.000004 0.000004 0.005308 0.000004 0.005281 0.015383 0.010829 0.005297 0.005265 0.000004 0.000004 0.000004 0.000004 0.005288 0.000004 0.021325 0.000004 0.010717 0.011095 4.550015 0.007035 0.045650
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.245396
(12: 0.012662, (18: 0.000004, 4: 0.000004): 0.031795, ((((((11: 0.000004, 13: 0.000004, 22: 0.005305, 27: 0.000004, 1: 0.000004, 6: 0.000004): 0.005301, 17: 0.000004, 26: 0.005310, 10: 0.000004, 29: 0.000004): 0.005299, 5: 0.000004): 0.005298, (3: 0.000004, 7: 0.000004): 0.005294, 28: 0.005308): 0.005289, 16: 0.000004, 2: 0.005281): 0.046035, (((21: 0.005265, 20: 0.000004, 19: 0.000004, 25: 0.000004, 23: 0.000004, 24: 0.005288, 9: 0.000004): 0.005297, 30: 0.021325, 8: 0.000004, 15: 0.010717): 0.010829, 14: 0.011095): 0.015383): 0.021939);
(C212: 0.012662, (C213: 0.000004, C215: 0.000004): 0.031795, ((((((C5: 0.000004, C59: 0.000004, C262: 0.005305, C39: 0.000004, C154: 0.000004, C136: 0.000004): 0.005301, C4: 0.000004, C51: 0.005310, C3: 0.000004, C48: 0.000004): 0.005299, C16: 0.000004): 0.005298, (C179: 0.000004, C192: 0.000004): 0.005294, C84: 0.005308): 0.005289, C187: 0.000004, C182: 0.005281): 0.046035, (((C27: 0.005265, C247: 0.000004, C248: 0.000004, C251: 0.000004, C261: 0.000004, C263: 0.005288, C73: 0.000004): 0.005297, C67: 0.021325, C278: 0.000004, C223: 0.010717): 0.010829, C220: 0.011095): 0.015383): 0.021939);
Detailed output identifying parameters
kappa (ts/tv) = 4.55002
Parameters in M7 (beta):
p = 0.00703 q = 0.04565
MLEs of dN/dS (w) for site classes (K=10)
p: 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000
w: 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.05742 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.013 484.0 107.0 0.1057 0.0017 0.0158 0.8 1.7
31..32 0.032 484.0 107.0 0.1057 0.0042 0.0396 2.0 4.2
32..18 0.000 484.0 107.0 0.1057 0.0000 0.0000 0.0 0.0
32..4 0.000 484.0 107.0 0.1057 0.0000 0.0000 0.0 0.0
31..33 0.022 484.0 107.0 0.1057 0.0029 0.0273 1.4 2.9
33..34 0.046 484.0 107.0 0.1057 0.0061 0.0573 2.9 6.1
34..35 0.005 484.0 107.0 0.1057 0.0007 0.0066 0.3 0.7
35..36 0.005 484.0 107.0 0.1057 0.0007 0.0066 0.3 0.7
36..37 0.005 484.0 107.0 0.1057 0.0007 0.0066 0.3 0.7
37..38 0.005 484.0 107.0 0.1057 0.0007 0.0066 0.3 0.7
38..11 0.000 484.0 107.0 0.1057 0.0000 0.0000 0.0 0.0
38..13 0.000 484.0 107.0 0.1057 0.0000 0.0000 0.0 0.0
38..22 0.005 484.0 107.0 0.1057 0.0007 0.0066 0.3 0.7
38..27 0.000 484.0 107.0 0.1057 0.0000 0.0000 0.0 0.0
38..1 0.000 484.0 107.0 0.1057 0.0000 0.0000 0.0 0.0
38..6 0.000 484.0 107.0 0.1057 0.0000 0.0000 0.0 0.0
37..17 0.000 484.0 107.0 0.1057 0.0000 0.0000 0.0 0.0
37..26 0.005 484.0 107.0 0.1057 0.0007 0.0066 0.3 0.7
37..10 0.000 484.0 107.0 0.1057 0.0000 0.0000 0.0 0.0
37..29 0.000 484.0 107.0 0.1057 0.0000 0.0000 0.0 0.0
36..5 0.000 484.0 107.0 0.1057 0.0000 0.0000 0.0 0.0
35..39 0.005 484.0 107.0 0.1057 0.0007 0.0066 0.3 0.7
39..3 0.000 484.0 107.0 0.1057 0.0000 0.0000 0.0 0.0
39..7 0.000 484.0 107.0 0.1057 0.0000 0.0000 0.0 0.0
35..28 0.005 484.0 107.0 0.1057 0.0007 0.0066 0.3 0.7
34..16 0.000 484.0 107.0 0.1057 0.0000 0.0000 0.0 0.0
34..2 0.005 484.0 107.0 0.1057 0.0007 0.0066 0.3 0.7
33..40 0.015 484.0 107.0 0.1057 0.0020 0.0192 1.0 2.1
40..41 0.011 484.0 107.0 0.1057 0.0014 0.0135 0.7 1.4
41..42 0.005 484.0 107.0 0.1057 0.0007 0.0066 0.3 0.7
42..21 0.005 484.0 107.0 0.1057 0.0007 0.0066 0.3 0.7
42..20 0.000 484.0 107.0 0.1057 0.0000 0.0000 0.0 0.0
42..19 0.000 484.0 107.0 0.1057 0.0000 0.0000 0.0 0.0
42..25 0.000 484.0 107.0 0.1057 0.0000 0.0000 0.0 0.0
42..23 0.000 484.0 107.0 0.1057 0.0000 0.0000 0.0 0.0
42..24 0.005 484.0 107.0 0.1057 0.0007 0.0066 0.3 0.7
42..9 0.000 484.0 107.0 0.1057 0.0000 0.0000 0.0 0.0
41..30 0.021 484.0 107.0 0.1057 0.0028 0.0266 1.4 2.8
41..8 0.000 484.0 107.0 0.1057 0.0000 0.0000 0.0 0.0
41..15 0.011 484.0 107.0 0.1057 0.0014 0.0133 0.7 1.4
40..14 0.011 484.0 107.0 0.1057 0.0015 0.0138 0.7 1.5
Time used: 20:35
Model 8: beta&w>1 (11 categories)
TREE # 1: (12, (18, 4), ((((((11, 13, 22, 27, 1, 6), 17, 26, 10, 29), 5), (3, 7), 28), 16, 2), (((21, 20, 19, 25, 23, 24, 9), 30, 8, 15), 14))); MP score: 45
lnL(ntime: 41 np: 46): -1030.410416 +0.000000
31..12 31..32 32..18 32..4 31..33 33..34 34..35 35..36 36..37 37..38 38..11 38..13 38..22 38..27 38..1 38..6 37..17 37..26 37..10 37..29 36..5 35..39 39..3 39..7 35..28 34..16 34..2 33..40 40..41 41..42 42..21 42..20 42..19 42..25 42..23 42..24 42..9 41..30 41..8 41..15 40..14
0.012691 0.031808 0.000004 0.000004 0.022427 0.045893 0.005318 0.005329 0.005331 0.005332 0.000004 0.000004 0.005335 0.000004 0.000004 0.000004 0.000004 0.005341 0.000004 0.000004 0.000004 0.005324 0.000004 0.000004 0.005346 0.000004 0.005310 0.015296 0.010845 0.005313 0.005276 0.000004 0.000004 0.000004 0.000004 0.005305 0.000004 0.021399 0.000004 0.010752 0.011079 4.659385 0.965578 3.919023 99.000000 2.030411
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.246129
(12: 0.012691, (18: 0.000004, 4: 0.000004): 0.031808, ((((((11: 0.000004, 13: 0.000004, 22: 0.005335, 27: 0.000004, 1: 0.000004, 6: 0.000004): 0.005332, 17: 0.000004, 26: 0.005341, 10: 0.000004, 29: 0.000004): 0.005331, 5: 0.000004): 0.005329, (3: 0.000004, 7: 0.000004): 0.005324, 28: 0.005346): 0.005318, 16: 0.000004, 2: 0.005310): 0.045893, (((21: 0.005276, 20: 0.000004, 19: 0.000004, 25: 0.000004, 23: 0.000004, 24: 0.005305, 9: 0.000004): 0.005313, 30: 0.021399, 8: 0.000004, 15: 0.010752): 0.010845, 14: 0.011079): 0.015296): 0.022427);
(C212: 0.012691, (C213: 0.000004, C215: 0.000004): 0.031808, ((((((C5: 0.000004, C59: 0.000004, C262: 0.005335, C39: 0.000004, C154: 0.000004, C136: 0.000004): 0.005332, C4: 0.000004, C51: 0.005341, C3: 0.000004, C48: 0.000004): 0.005331, C16: 0.000004): 0.005329, (C179: 0.000004, C192: 0.000004): 0.005324, C84: 0.005346): 0.005318, C187: 0.000004, C182: 0.005310): 0.045893, (((C27: 0.005276, C247: 0.000004, C248: 0.000004, C251: 0.000004, C261: 0.000004, C263: 0.005305, C73: 0.000004): 0.005313, C67: 0.021399, C278: 0.000004, C223: 0.010752): 0.010845, C220: 0.011079): 0.015296): 0.022427);
Detailed output identifying parameters
kappa (ts/tv) = 4.65938
Parameters in M8 (beta&w>1):
p0 = 0.96558 p = 3.91902 q = 99.00000
(p1 = 0.03442) w = 2.03041
MLEs of dN/dS (w) for site classes (K=11)
p: 0.09656 0.09656 0.09656 0.09656 0.09656 0.09656 0.09656 0.09656 0.09656 0.09656 0.03442
w: 0.01305 0.01952 0.02428 0.02860 0.03290 0.03744 0.04253 0.04869 0.05715 0.07322 2.03041
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.013 483.7 107.3 0.1063 0.0017 0.0158 0.8 1.7
31..32 0.032 483.7 107.3 0.1063 0.0042 0.0395 2.0 4.2
32..18 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
32..4 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
31..33 0.022 483.7 107.3 0.1063 0.0030 0.0278 1.4 3.0
33..34 0.046 483.7 107.3 0.1063 0.0061 0.0570 2.9 6.1
34..35 0.005 483.7 107.3 0.1063 0.0007 0.0066 0.3 0.7
35..36 0.005 483.7 107.3 0.1063 0.0007 0.0066 0.3 0.7
36..37 0.005 483.7 107.3 0.1063 0.0007 0.0066 0.3 0.7
37..38 0.005 483.7 107.3 0.1063 0.0007 0.0066 0.3 0.7
38..11 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
38..13 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
38..22 0.005 483.7 107.3 0.1063 0.0007 0.0066 0.3 0.7
38..27 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
38..1 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
38..6 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
37..17 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
37..26 0.005 483.7 107.3 0.1063 0.0007 0.0066 0.3 0.7
37..10 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
37..29 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
36..5 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
35..39 0.005 483.7 107.3 0.1063 0.0007 0.0066 0.3 0.7
39..3 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
39..7 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
35..28 0.005 483.7 107.3 0.1063 0.0007 0.0066 0.3 0.7
34..16 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
34..2 0.005 483.7 107.3 0.1063 0.0007 0.0066 0.3 0.7
33..40 0.015 483.7 107.3 0.1063 0.0020 0.0190 1.0 2.0
40..41 0.011 483.7 107.3 0.1063 0.0014 0.0135 0.7 1.4
41..42 0.005 483.7 107.3 0.1063 0.0007 0.0066 0.3 0.7
42..21 0.005 483.7 107.3 0.1063 0.0007 0.0065 0.3 0.7
42..20 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
42..19 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
42..25 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
42..23 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
42..24 0.005 483.7 107.3 0.1063 0.0007 0.0066 0.3 0.7
42..9 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
41..30 0.021 483.7 107.3 0.1063 0.0028 0.0266 1.4 2.8
41..8 0.000 483.7 107.3 0.1063 0.0000 0.0000 0.0 0.0
41..15 0.011 483.7 107.3 0.1063 0.0014 0.0133 0.7 1.4
40..14 0.011 483.7 107.3 0.1063 0.0015 0.0138 0.7 1.5
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C154)
Pr(w>1) post mean +- SE for w
27 F 0.958* 1.947
146 I 0.586 1.208
156 Q 0.529 1.095
188 Y 0.999** 2.028
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: C154)
Pr(w>1) post mean +- SE for w
27 F 0.725 1.895 +- 1.338
188 Y 0.898 2.272 +- 1.315
The grid
p0: 0.050 0.150 0.250 0.350 0.450 0.550 0.650 0.750 0.850 0.950
p : 0.100 0.300 0.500 0.700 0.900 1.100 1.300 1.500 1.700 1.900
q : 0.100 0.300 0.500 0.700 0.900 1.100 1.300 1.500 1.700 1.900
ws: 1.500 2.500 3.500 4.500 5.500 6.500 7.500 8.500 9.500 10.500
Posterior on the grid
p0: 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 1.000
p : 0.995 0.005 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
q : 0.000 0.000 0.000 0.006 0.025 0.064 0.119 0.186 0.261 0.339
ws: 0.495 0.275 0.127 0.056 0.025 0.011 0.005 0.003 0.001 0.001
Time used: 39:53
Model 1: NearlyNeutral -1030.675148 Model 2: PositiveSelection -1030.405839 Model 7: beta -1030.744193 Model 8: beta&w>1 -1030.410416 Model 2 vs 1 .538618 Model 8 vs 7 .667554
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
