--- 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 -1355.59 -1369.94
2 -1356.21 -1371.19
--------------------------------------
TOTAL -1355.85 -1370.75
--------------------------------------
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} 0.173214 0.000854 0.118697 0.230629 0.170277 1370.07 1435.53 1.000
r(A<->C){all} 0.033523 0.000690 0.000001 0.085633 0.027597 760.31 805.78 1.000
r(A<->G){all} 0.250811 0.003923 0.132474 0.377562 0.245840 495.80 678.35 1.000
r(A<->T){all} 0.109305 0.001065 0.049761 0.174581 0.105198 785.51 883.27 1.000
r(C<->G){all} 0.090191 0.002136 0.014197 0.182510 0.083084 553.76 607.24 1.000
r(C<->T){all} 0.443940 0.004775 0.301470 0.567849 0.443563 604.50 644.84 1.000
r(G<->T){all} 0.072231 0.001003 0.014619 0.133879 0.068290 597.32 640.46 1.000
pi(A){all} 0.250694 0.000254 0.219976 0.282238 0.250318 1153.18 1177.19 1.000
pi(C){all} 0.193129 0.000203 0.165768 0.221508 0.192914 690.12 894.99 1.000
pi(G){all} 0.170397 0.000200 0.141676 0.196262 0.170391 1283.54 1296.84 1.001
pi(T){all} 0.385780 0.000305 0.353005 0.421233 0.385481 1099.10 1113.93 1.000
alpha{1,2} 0.126585 0.016975 0.000054 0.338406 0.096793 1032.25 1068.52 1.000
alpha{3} 2.224599 1.730313 0.418932 5.003384 1.916790 1169.71 1291.45 1.000
pinvar{all} 0.471344 0.017307 0.199274 0.712017 0.486558 1012.78 1027.82 1.001
------------------------------------------------------------------------------------------------------
* 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 -1286.942147
Model 2: PositiveSelection -1286.646878
Model 7: beta -1286.942686
Model 8: beta&w>1 -1286.855197
Model 2 vs 1 .590538
Model 8 vs 7 .174978
-- Starting log on Wed Oct 26 22:52:53 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/B05f_NS3d_ABN10852_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result--
CLUSTAL FORMAT for T-COFFEE Version_12.00.7fb08c2 [http://www.tcoffee.org] [MODE: ], CPU=0.05 sec, SCORE=1000, Nseq=10, Len=227
C1 MAFSASLFRTKTVHTEDAFCPRSAIQAEQPPNIIDCIPVAGYEAALITNA
C2 MAFSASLFRTKTVHTEDAFCPRSAIQAEQPPNIIDCIPVAGYEAALITNA
C3 MAFSASLFRTKTVHTEDALCPRSAIQAEQPPNIIDCIPVAGYEAALITNA
C4 MAFSASLFRTKTVHTEDAFCPRSAIQAEQPPNIIDCIPVAGYEAALITNA
C5 MAFSASLFRTKTVHTEDALCPRSAIQAEQPPNIIDCIPVAGYEAALITNA
C6 MAFSASLFRTKTVHTEDALCPRSAIQAEQPPNIIDCIPVAGYEAALITNA
C7 MAFSASLFRTKTVHTEDAFCPRSAIQAEQPPNIIDCIPVAGYEAALITNA
C8 MAFSASLFRTKTVHTEDAFCPRSTIQAEQPPNIIDCIPVAGYEAALITNA
C9 MAFSASLFRTKTVHTEDAFCPRSAIQAEQPPNIIDCIPVAGYEAALITNA
C10 MAFSASLFRTKTVHTEDALCPRSAIQAEEPPNIIDCIPVAGYEAALVTNA
******************:****:****:*****************:***
C1 LFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALL
C2 LFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALL
C3 LFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALL
C4 LFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALL
C5 LFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALL
C6 LFLLVLFVFNPLTCRGNWIKAILFYSLLLYNMILAIFLVIDTQHFVSALL
C7 LFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALL
C8 LFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALL
C9 LFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALL
C10 LFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVIDTQHFVSALL
**************:************************:**********
C1 LAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMN
C2 LAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMN
C3 LAYVVTFLILWTADRIRLSCAVGSVLPFVDMRSAYIRVDNGNSSVVVPMN
C4 LAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMN
C5 LAYVVTFLILWTADRIRLSCAVGSVLPFVDMRSAYIRVDNGNSSVVVPMN
C6 LAYVVTFLTLWTVDRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMN
C7 LAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMN
C8 LAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMN
C9 LAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMN
C10 LAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSAYIRVDNGNSSVVVPMN
******** ***.********************:****************
C1 HTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLG
C2 HTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLG
C3 HTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLG
C4 HTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLG
C5 HTKHWFIRNFEQSCHCENCFYIHSSSYVYYTFISRLKISILVSVCDFSLG
C6 HTKHWFIRNFEQSCHCENCFYIHSSSYVQSTFISRLKISILVSVCDFSLG
C7 HTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLG
C8 HTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLG
C9 HTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLG
C10 HTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLG
**************************** ******* ************
C1 GNVSTVFVPSSDKTVPLHIIAPSKLYV
C2 GNVSTVFVPSSDKTVPLHIIAPSKLYV
C3 DNVSTVFVPSSDKTVPLHIIAPSKLYV
C4 GNVSTVFVPSSDKTVPLHIIAPSKLYV
C5 DNVSTVFVPSSDITVPLHIIAPSKLYV
C6 DNVSTVFVPSSDKTVPLHIIAPSKLYV
C7 GNVSTVFVPSSDKTVPLHIIAPSKLYV
C8 GNVSTVFVPSSDKTVPLHIIAPSKLYV
C9 GNVSTVFVPSSDKTVPLHIIAPSKLYV
C10 GNVSTVFVPSSDKTVPLHIIAPSKLYV
.*********** **************
-- Starting log on Wed Oct 26 22:53:37 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/B05f_NS3d_ABN10852_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result--
CLUSTAL FORMAT for T-COFFEE Version_12.00.7fb08c2 [http://www.tcoffee.org] [MODE: ], CPU=0.09 sec, SCORE=1000, Nseq=10, Len=227
C1 MAFSASLFRTKTVHTEDAFCPRSAIQAEQPPNIIDCIPVAGYEAALITNA
C2 MAFSASLFRTKTVHTEDAFCPRSAIQAEQPPNIIDCIPVAGYEAALITNA
C3 MAFSASLFRTKTVHTEDALCPRSAIQAEQPPNIIDCIPVAGYEAALITNA
C4 MAFSASLFRTKTVHTEDAFCPRSAIQAEQPPNIIDCIPVAGYEAALITNA
C5 MAFSASLFRTKTVHTEDALCPRSAIQAEQPPNIIDCIPVAGYEAALITNA
C6 MAFSASLFRTKTVHTEDALCPRSAIQAEQPPNIIDCIPVAGYEAALITNA
C7 MAFSASLFRTKTVHTEDAFCPRSAIQAEQPPNIIDCIPVAGYEAALITNA
C8 MAFSASLFRTKTVHTEDAFCPRSTIQAEQPPNIIDCIPVAGYEAALITNA
C9 MAFSASLFRTKTVHTEDAFCPRSAIQAEQPPNIIDCIPVAGYEAALITNA
C10 MAFSASLFRTKTVHTEDALCPRSAIQAEEPPNIIDCIPVAGYEAALVTNA
******************:****:****:*****************:***
C1 LFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALL
C2 LFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALL
C3 LFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALL
C4 LFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALL
C5 LFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALL
C6 LFLLVLFVFNPLTCRGNWIKAILFYSLLLYNMILAIFLVIDTQHFVSALL
C7 LFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALL
C8 LFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALL
C9 LFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALL
C10 LFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVIDTQHFVSALL
**************:************************:**********
C1 LAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMN
C2 LAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMN
C3 LAYVVTFLILWTADRIRLSCAVGSVLPFVDMRSAYIRVDNGNSSVVVPMN
C4 LAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMN
C5 LAYVVTFLILWTADRIRLSCAVGSVLPFVDMRSAYIRVDNGNSSVVVPMN
C6 LAYVVTFLTLWTVDRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMN
C7 LAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMN
C8 LAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMN
C9 LAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMN
C10 LAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSAYIRVDNGNSSVVVPMN
******** ***.********************:****************
C1 HTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLG
C2 HTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLG
C3 HTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLG
C4 HTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLG
C5 HTKHWFIRNFEQSCHCENCFYIHSSSYVYYTFISRLKISILVSVCDFSLG
C6 HTKHWFIRNFEQSCHCENCFYIHSSSYVQSTFISRLKISILVSVCDFSLG
C7 HTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLG
C8 HTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLG
C9 HTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLG
C10 HTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLG
**************************** ******* ************
C1 GNVSTVFVPSSDKTVPLHIIAPSKLYV
C2 GNVSTVFVPSSDKTVPLHIIAPSKLYV
C3 DNVSTVFVPSSDKTVPLHIIAPSKLYV
C4 GNVSTVFVPSSDKTVPLHIIAPSKLYV
C5 DNVSTVFVPSSDITVPLHIIAPSKLYV
C6 DNVSTVFVPSSDKTVPLHIIAPSKLYV
C7 GNVSTVFVPSSDKTVPLHIIAPSKLYV
C8 GNVSTVFVPSSDKTVPLHIIAPSKLYV
C9 GNVSTVFVPSSDKTVPLHIIAPSKLYV
C10 GNVSTVFVPSSDKTVPLHIIAPSKLYV
.*********** **************
-- Starting log on Wed Oct 26 23:13:25 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/B05f_NS3d_ABN10852_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result/gapped_alignment/codeml,B05f_NS3d_ABN10852_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.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 10 taxa and 681 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C1
Taxon 2 -> C10
Taxon 3 -> C2
Taxon 4 -> C3
Taxon 5 -> C4
Taxon 6 -> C5
Taxon 7 -> C6
Taxon 8 -> C7
Taxon 9 -> C8
Taxon 10 -> C9
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1666826008
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) = 368925716
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 = 1384548934
Seed = 2062865434
Swapseed = 1666826008
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 20 unique site patterns
Division 2 has 11 unique site patterns
Division 3 has 30 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 -- -1852.707068 -- 35.653401
Chain 2 -- -1838.637291 -- 35.653401
Chain 3 -- -1846.975556 -- 35.653401
Chain 4 -- -1761.773482 -- 35.653401
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -1707.812916 -- 35.653401
Chain 2 -- -1837.721711 -- 35.653401
Chain 3 -- -1857.788861 -- 35.653401
Chain 4 -- -1833.481052 -- 35.653401
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-1852.707] (-1838.637) (-1846.976) (-1761.773) * [-1707.813] (-1837.722) (-1857.789) (-1833.481)
1000 -- (-1394.717) (-1390.799) [-1389.827] (-1386.084) * [-1390.389] (-1396.908) (-1404.083) (-1390.221) -- 0:16:39
2000 -- (-1388.113) (-1383.612) (-1380.354) [-1372.879] * (-1373.903) (-1376.403) [-1380.530] (-1380.574) -- 0:08:19
3000 -- (-1381.709) (-1371.334) [-1363.498] (-1377.256) * [-1364.177] (-1366.112) (-1382.121) (-1368.380) -- 0:05:32
4000 -- (-1374.365) [-1366.655] (-1364.381) (-1373.660) * (-1367.292) (-1363.934) (-1381.172) [-1367.139] -- 0:04:09
5000 -- [-1359.991] (-1370.727) (-1365.496) (-1369.437) * (-1371.714) (-1364.646) [-1367.534] (-1370.743) -- 0:06:38
Average standard deviation of split frequencies: 0.088149
6000 -- [-1361.068] (-1376.984) (-1366.828) (-1370.149) * (-1362.329) [-1357.856] (-1364.999) (-1361.333) -- 0:05:31
7000 -- (-1358.861) [-1364.276] (-1358.301) (-1362.319) * (-1370.773) (-1368.194) (-1366.827) [-1367.469] -- 0:04:43
8000 -- (-1367.492) (-1370.008) [-1363.218] (-1361.604) * (-1369.896) [-1361.965] (-1360.759) (-1362.399) -- 0:06:12
9000 -- (-1366.186) (-1370.126) [-1359.209] (-1367.396) * (-1363.482) [-1359.070] (-1361.796) (-1355.355) -- 0:05:30
10000 -- (-1362.378) (-1363.258) [-1355.453] (-1359.247) * [-1356.330] (-1373.601) (-1361.117) (-1363.049) -- 0:04:57
Average standard deviation of split frequencies: 0.074132
11000 -- (-1361.675) (-1368.963) [-1369.398] (-1360.142) * [-1360.686] (-1375.079) (-1358.266) (-1369.598) -- 0:04:29
12000 -- (-1360.316) (-1366.650) [-1364.759] (-1360.570) * (-1365.920) (-1374.380) (-1358.194) [-1361.375] -- 0:05:29
13000 -- [-1362.676] (-1377.097) (-1362.741) (-1358.513) * (-1361.164) (-1386.017) (-1367.022) [-1352.483] -- 0:05:03
14000 -- [-1361.429] (-1366.269) (-1385.172) (-1358.274) * [-1363.121] (-1364.832) (-1361.386) (-1368.926) -- 0:04:41
15000 -- (-1360.448) (-1359.770) (-1376.538) [-1363.914] * (-1359.781) [-1362.797] (-1367.247) (-1371.549) -- 0:05:28
Average standard deviation of split frequencies: 0.055652
16000 -- (-1357.992) (-1366.784) [-1368.670] (-1363.216) * [-1357.200] (-1366.433) (-1369.057) (-1357.416) -- 0:05:07
17000 -- (-1367.546) (-1369.478) (-1360.366) [-1361.067] * (-1366.384) (-1353.267) [-1356.758] (-1361.663) -- 0:04:49
18000 -- (-1359.074) (-1365.426) [-1364.349] (-1369.293) * [-1358.998] (-1359.875) (-1359.072) (-1357.422) -- 0:04:32
19000 -- (-1367.859) (-1364.194) (-1366.808) [-1361.574] * [-1360.862] (-1362.184) (-1360.485) (-1365.766) -- 0:05:09
20000 -- (-1366.351) (-1365.275) [-1362.990] (-1361.058) * (-1364.924) (-1377.871) (-1357.842) [-1360.398] -- 0:04:54
Average standard deviation of split frequencies: 0.057975
21000 -- (-1362.518) (-1368.965) [-1356.938] (-1367.131) * (-1361.790) [-1357.198] (-1365.736) (-1357.592) -- 0:04:39
22000 -- (-1358.357) (-1380.632) (-1366.493) [-1364.890] * (-1363.762) (-1366.523) [-1362.570] (-1356.985) -- 0:05:11
23000 -- (-1363.131) [-1369.211] (-1362.252) (-1369.494) * (-1364.216) (-1362.406) [-1354.561] (-1361.860) -- 0:04:57
24000 -- [-1361.733] (-1369.607) (-1355.195) (-1362.374) * (-1357.303) (-1356.176) (-1364.224) [-1368.331] -- 0:04:44
25000 -- [-1362.891] (-1368.538) (-1368.594) (-1369.772) * (-1356.792) (-1353.878) [-1357.157] (-1370.899) -- 0:05:12
Average standard deviation of split frequencies: 0.050364
26000 -- (-1363.627) [-1361.800] (-1368.022) (-1365.338) * (-1365.712) (-1362.452) (-1369.248) [-1362.122] -- 0:04:59
27000 -- (-1368.800) (-1371.299) [-1357.362] (-1368.192) * [-1357.080] (-1360.226) (-1370.267) (-1362.287) -- 0:04:48
28000 -- [-1373.180] (-1364.527) (-1370.879) (-1366.183) * (-1357.800) (-1366.580) [-1360.398] (-1362.108) -- 0:04:37
29000 -- (-1360.162) (-1365.905) [-1366.148] (-1372.855) * (-1358.252) [-1363.973] (-1364.782) (-1357.368) -- 0:05:01
30000 -- (-1368.061) (-1364.335) (-1364.899) [-1361.471] * [-1363.400] (-1381.996) (-1362.262) (-1368.246) -- 0:04:51
Average standard deviation of split frequencies: 0.040992
31000 -- (-1362.349) (-1368.790) [-1363.905] (-1361.743) * (-1361.041) (-1367.745) (-1364.631) [-1360.182] -- 0:04:41
32000 -- (-1366.751) (-1360.899) (-1367.987) [-1353.860] * (-1362.639) [-1366.472] (-1364.378) (-1362.263) -- 0:04:32
33000 -- (-1365.867) (-1369.598) (-1364.480) [-1360.744] * (-1363.162) (-1367.745) [-1357.925] (-1368.425) -- 0:04:53
34000 -- (-1362.626) (-1360.519) (-1359.043) [-1357.751] * (-1367.891) (-1380.938) [-1356.452] (-1365.086) -- 0:04:44
35000 -- (-1363.868) [-1356.443] (-1365.419) (-1363.430) * [-1365.570] (-1364.578) (-1363.147) (-1370.505) -- 0:04:35
Average standard deviation of split frequencies: 0.042855
36000 -- (-1357.132) (-1361.384) [-1364.507] (-1368.479) * (-1371.292) [-1358.718] (-1355.192) (-1373.222) -- 0:04:54
37000 -- (-1356.232) (-1365.090) (-1360.579) [-1364.568] * (-1371.147) [-1363.412] (-1362.313) (-1369.365) -- 0:04:46
38000 -- (-1356.453) (-1359.050) (-1371.098) [-1366.565] * (-1371.544) [-1371.374] (-1362.424) (-1361.182) -- 0:04:38
39000 -- [-1358.748] (-1363.093) (-1363.625) (-1366.832) * (-1376.507) [-1361.810] (-1361.780) (-1366.622) -- 0:04:55
40000 -- [-1357.859] (-1373.475) (-1360.444) (-1364.802) * (-1367.534) [-1358.132] (-1371.240) (-1369.573) -- 0:04:48
Average standard deviation of split frequencies: 0.032016
41000 -- (-1363.329) [-1363.925] (-1355.430) (-1368.186) * (-1369.861) [-1355.397] (-1363.820) (-1362.691) -- 0:04:40
42000 -- (-1370.397) (-1363.960) [-1359.605] (-1361.076) * (-1368.685) [-1364.425] (-1367.376) (-1363.360) -- 0:04:33
43000 -- (-1363.304) (-1365.604) [-1360.882] (-1361.886) * (-1380.199) (-1360.647) (-1362.458) [-1356.122] -- 0:04:49
44000 -- (-1369.217) (-1362.672) (-1363.340) [-1358.125] * [-1368.329] (-1368.598) (-1365.923) (-1351.939) -- 0:04:42
45000 -- (-1359.067) (-1363.303) [-1363.978] (-1357.295) * (-1370.008) (-1360.328) [-1362.215] (-1354.414) -- 0:04:35
Average standard deviation of split frequencies: 0.027985
46000 -- (-1359.813) [-1361.546] (-1365.095) (-1362.098) * (-1362.435) [-1362.155] (-1369.854) (-1360.036) -- 0:04:50
47000 -- (-1360.570) (-1369.419) (-1359.789) [-1359.321] * [-1357.370] (-1358.336) (-1359.730) (-1363.120) -- 0:04:43
48000 -- (-1363.234) (-1360.562) (-1362.556) [-1354.225] * (-1364.461) (-1366.677) [-1360.697] (-1366.443) -- 0:04:37
49000 -- (-1360.756) (-1363.067) [-1361.359] (-1361.369) * (-1367.050) (-1357.935) [-1362.417] (-1361.700) -- 0:04:31
50000 -- (-1366.972) [-1368.245] (-1365.510) (-1358.493) * (-1372.378) (-1363.432) (-1361.164) [-1363.276] -- 0:04:45
Average standard deviation of split frequencies: 0.025889
51000 -- [-1355.391] (-1361.305) (-1363.034) (-1358.480) * (-1363.184) [-1364.462] (-1372.707) (-1359.520) -- 0:04:39
52000 -- [-1362.303] (-1355.424) (-1363.253) (-1365.140) * (-1372.884) (-1366.912) [-1364.547] (-1365.124) -- 0:04:33
53000 -- [-1362.353] (-1366.310) (-1367.850) (-1361.590) * (-1364.825) [-1365.223] (-1363.919) (-1369.417) -- 0:04:45
54000 -- (-1362.108) [-1359.532] (-1382.632) (-1365.059) * [-1358.538] (-1362.770) (-1366.382) (-1369.051) -- 0:04:40
55000 -- (-1360.516) (-1353.736) (-1364.685) [-1360.978] * (-1368.565) [-1361.036] (-1366.688) (-1361.946) -- 0:04:34
Average standard deviation of split frequencies: 0.024156
56000 -- (-1366.796) (-1365.639) [-1359.032] (-1365.156) * (-1362.521) [-1354.886] (-1353.666) (-1363.916) -- 0:04:29
57000 -- [-1357.478] (-1369.960) (-1364.854) (-1359.581) * (-1367.468) (-1366.638) [-1352.751] (-1369.542) -- 0:04:41
58000 -- (-1363.007) (-1360.503) [-1359.141] (-1366.466) * (-1365.985) (-1363.137) [-1356.091] (-1369.663) -- 0:04:36
59000 -- (-1361.317) (-1361.949) (-1361.499) [-1358.669] * (-1359.680) [-1360.918] (-1365.545) (-1368.020) -- 0:04:31
60000 -- (-1369.386) [-1357.165] (-1368.898) (-1359.590) * (-1369.322) (-1364.942) [-1357.770] (-1368.238) -- 0:04:42
Average standard deviation of split frequencies: 0.022146
61000 -- (-1365.681) (-1359.683) (-1365.974) [-1359.719] * (-1362.994) (-1362.317) [-1358.572] (-1366.976) -- 0:04:37
62000 -- (-1364.735) (-1362.506) (-1373.813) [-1357.050] * (-1363.309) (-1360.952) [-1358.907] (-1367.089) -- 0:04:32
63000 -- (-1362.343) (-1356.790) [-1364.341] (-1365.349) * [-1361.050] (-1374.413) (-1364.064) (-1372.137) -- 0:04:27
64000 -- [-1362.999] (-1362.920) (-1365.505) (-1362.999) * [-1358.550] (-1366.445) (-1368.573) (-1363.804) -- 0:04:37
65000 -- [-1357.093] (-1361.018) (-1360.425) (-1363.746) * (-1361.248) [-1359.590] (-1364.495) (-1363.749) -- 0:04:33
Average standard deviation of split frequencies: 0.022359
66000 -- (-1358.797) [-1362.347] (-1372.942) (-1366.649) * (-1364.524) (-1362.372) [-1363.081] (-1362.274) -- 0:04:28
67000 -- (-1369.267) (-1358.879) (-1367.395) [-1361.029] * (-1363.341) (-1370.190) [-1357.093] (-1357.802) -- 0:04:38
68000 -- (-1361.836) (-1377.370) [-1364.064] (-1359.383) * (-1366.916) (-1368.163) (-1364.608) [-1358.307] -- 0:04:34
69000 -- [-1362.011] (-1373.495) (-1360.966) (-1362.281) * (-1362.575) (-1373.390) [-1359.408] (-1359.380) -- 0:04:29
70000 -- [-1356.165] (-1361.929) (-1365.759) (-1357.509) * (-1366.571) [-1359.961] (-1360.212) (-1370.771) -- 0:04:39
Average standard deviation of split frequencies: 0.019679
71000 -- (-1363.909) (-1368.645) (-1361.061) [-1357.628] * (-1359.787) (-1361.050) (-1357.872) [-1359.438] -- 0:04:34
72000 -- [-1359.526] (-1362.879) (-1355.403) (-1362.983) * (-1368.679) (-1369.280) (-1361.088) [-1363.246] -- 0:04:30
73000 -- [-1362.640] (-1363.926) (-1362.528) (-1354.325) * (-1359.836) (-1362.852) (-1366.735) [-1363.268] -- 0:04:26
74000 -- (-1358.784) (-1358.405) (-1361.018) [-1354.825] * (-1360.579) (-1360.312) [-1357.435] (-1365.143) -- 0:04:35
75000 -- [-1356.679] (-1374.068) (-1371.761) (-1360.812) * [-1369.016] (-1367.794) (-1365.565) (-1372.134) -- 0:04:31
Average standard deviation of split frequencies: 0.020893
76000 -- (-1364.890) [-1358.749] (-1365.966) (-1372.985) * (-1368.426) (-1359.271) [-1359.706] (-1372.738) -- 0:04:27
77000 -- (-1358.676) (-1358.106) (-1358.320) [-1360.155] * [-1356.162] (-1360.215) (-1358.558) (-1358.409) -- 0:04:35
78000 -- [-1368.174] (-1369.057) (-1370.788) (-1362.499) * (-1360.959) (-1359.389) [-1356.163] (-1357.335) -- 0:04:31
79000 -- (-1370.748) (-1360.490) [-1367.089] (-1361.477) * (-1356.978) (-1359.580) (-1354.660) [-1364.187] -- 0:04:28
80000 -- (-1367.919) (-1360.541) [-1359.345] (-1367.586) * (-1365.355) [-1360.864] (-1364.945) (-1360.738) -- 0:04:24
Average standard deviation of split frequencies: 0.020454
81000 -- (-1365.342) (-1361.209) [-1360.030] (-1364.746) * [-1360.228] (-1376.070) (-1363.081) (-1361.579) -- 0:04:32
82000 -- (-1371.322) (-1362.244) [-1362.513] (-1369.597) * (-1369.632) [-1359.223] (-1367.300) (-1357.281) -- 0:04:28
83000 -- (-1375.809) (-1361.315) (-1374.130) [-1364.769] * [-1365.350] (-1366.040) (-1365.195) (-1364.336) -- 0:04:25
84000 -- (-1368.547) (-1373.853) (-1368.312) [-1368.574] * (-1355.185) [-1356.147] (-1369.343) (-1361.361) -- 0:04:32
85000 -- (-1372.659) (-1362.409) (-1371.152) [-1362.299] * (-1362.250) [-1361.558] (-1357.258) (-1374.481) -- 0:04:29
Average standard deviation of split frequencies: 0.017749
86000 -- [-1367.173] (-1366.734) (-1366.612) (-1361.676) * (-1378.598) (-1365.296) [-1363.151] (-1364.642) -- 0:04:25
87000 -- (-1368.049) (-1358.569) [-1372.942] (-1356.870) * (-1370.261) (-1355.905) [-1363.560] (-1366.792) -- 0:04:32
88000 -- (-1370.748) [-1359.593] (-1362.974) (-1366.547) * (-1358.952) (-1358.048) (-1361.191) [-1363.311] -- 0:04:29
89000 -- (-1369.861) [-1363.276] (-1356.145) (-1360.597) * (-1363.569) (-1364.345) (-1362.748) [-1364.023] -- 0:04:26
90000 -- (-1374.102) [-1359.843] (-1362.778) (-1360.234) * (-1364.483) (-1362.377) (-1363.134) [-1356.687] -- 0:04:22
Average standard deviation of split frequencies: 0.016780
91000 -- (-1362.064) (-1360.349) (-1368.167) [-1361.573] * (-1375.131) [-1362.510] (-1364.413) (-1359.744) -- 0:04:29
92000 -- (-1368.544) (-1363.791) [-1360.098] (-1360.465) * [-1371.871] (-1364.579) (-1363.100) (-1358.984) -- 0:04:26
93000 -- [-1365.709] (-1360.788) (-1371.408) (-1361.321) * (-1356.934) (-1367.860) (-1350.932) [-1355.300] -- 0:04:23
94000 -- (-1359.981) [-1366.194] (-1350.937) (-1363.147) * (-1358.388) [-1357.978] (-1372.213) (-1360.339) -- 0:04:29
95000 -- (-1369.134) (-1364.061) (-1358.649) [-1359.809] * [-1365.901] (-1377.671) (-1364.734) (-1357.557) -- 0:04:26
Average standard deviation of split frequencies: 0.017771
96000 -- (-1356.713) (-1370.974) (-1367.511) [-1357.587] * [-1361.268] (-1378.557) (-1380.059) (-1363.531) -- 0:04:23
97000 -- (-1362.381) (-1371.622) (-1356.649) [-1365.091] * (-1357.162) (-1369.248) [-1365.402] (-1368.473) -- 0:04:20
98000 -- (-1363.766) (-1364.243) [-1360.214] (-1355.580) * (-1367.606) [-1366.519] (-1365.925) (-1358.419) -- 0:04:26
99000 -- (-1361.027) (-1357.667) (-1356.025) [-1365.841] * (-1361.273) (-1360.625) (-1369.163) [-1364.395] -- 0:04:23
100000 -- (-1356.496) (-1368.989) [-1364.846] (-1364.300) * (-1362.275) (-1362.294) [-1361.657] (-1368.104) -- 0:04:21
Average standard deviation of split frequencies: 0.017170
101000 -- [-1365.462] (-1367.381) (-1361.761) (-1367.712) * (-1362.075) (-1361.713) [-1354.650] (-1364.719) -- 0:04:27
102000 -- (-1369.555) (-1374.291) (-1367.211) [-1369.093] * (-1369.697) (-1357.858) (-1372.901) [-1370.889] -- 0:04:24
103000 -- (-1374.596) (-1361.247) [-1357.845] (-1366.350) * (-1363.272) [-1357.944] (-1367.018) (-1364.281) -- 0:04:21
104000 -- (-1375.121) [-1356.972] (-1378.491) (-1361.351) * (-1357.117) (-1356.076) [-1356.420] (-1368.980) -- 0:04:18
105000 -- [-1368.520] (-1372.420) (-1363.722) (-1366.495) * (-1365.842) (-1359.970) [-1365.291] (-1377.322) -- 0:04:24
Average standard deviation of split frequencies: 0.015469
106000 -- (-1366.204) [-1362.794] (-1362.229) (-1361.381) * (-1369.866) [-1362.199] (-1370.520) (-1370.383) -- 0:04:21
107000 -- (-1363.861) [-1354.890] (-1366.380) (-1365.042) * [-1361.557] (-1369.068) (-1362.767) (-1370.233) -- 0:04:18
108000 -- (-1362.059) [-1355.162] (-1362.545) (-1361.056) * (-1358.967) (-1371.052) [-1366.798] (-1379.083) -- 0:04:24
109000 -- (-1362.969) (-1359.651) [-1364.007] (-1369.772) * (-1363.533) [-1363.871] (-1366.654) (-1361.913) -- 0:04:21
110000 -- (-1369.191) (-1356.415) [-1369.501] (-1370.723) * (-1367.308) (-1361.564) [-1357.146] (-1363.090) -- 0:04:18
Average standard deviation of split frequencies: 0.015296
111000 -- [-1358.279] (-1365.770) (-1368.337) (-1364.461) * (-1368.220) [-1362.754] (-1363.995) (-1364.632) -- 0:04:24
112000 -- (-1366.270) [-1356.552] (-1364.542) (-1359.883) * (-1372.074) (-1362.972) [-1363.389] (-1367.303) -- 0:04:21
113000 -- [-1362.231] (-1363.964) (-1374.624) (-1361.993) * [-1363.439] (-1365.250) (-1366.640) (-1366.136) -- 0:04:19
114000 -- (-1377.110) (-1356.349) [-1364.654] (-1365.511) * (-1365.628) (-1371.550) (-1365.495) [-1367.207] -- 0:04:16
115000 -- (-1369.670) (-1357.714) (-1363.808) [-1355.569] * [-1358.033] (-1365.379) (-1365.740) (-1358.475) -- 0:04:21
Average standard deviation of split frequencies: 0.017548
116000 -- (-1361.746) (-1365.075) (-1356.895) [-1360.161] * (-1363.268) [-1365.415] (-1365.979) (-1361.045) -- 0:04:19
117000 -- (-1366.487) (-1367.677) [-1358.356] (-1352.322) * [-1361.408] (-1367.381) (-1368.584) (-1369.434) -- 0:04:16
118000 -- [-1366.998] (-1360.625) (-1364.486) (-1354.196) * (-1362.652) [-1361.963] (-1359.644) (-1361.949) -- 0:04:21
119000 -- (-1362.119) (-1363.557) (-1366.639) [-1362.624] * (-1360.797) (-1373.979) [-1360.193] (-1368.705) -- 0:04:19
120000 -- (-1363.802) (-1359.338) [-1362.736] (-1373.992) * (-1358.567) (-1374.568) [-1353.553] (-1370.482) -- 0:04:16
Average standard deviation of split frequencies: 0.016743
121000 -- (-1359.356) (-1369.227) [-1362.373] (-1364.349) * [-1356.056] (-1363.255) (-1364.120) (-1368.174) -- 0:04:14
122000 -- (-1355.838) (-1359.085) [-1363.781] (-1357.292) * [-1355.823] (-1353.359) (-1360.247) (-1358.402) -- 0:04:19
123000 -- (-1367.062) [-1354.229] (-1367.784) (-1367.569) * (-1364.881) (-1362.525) (-1360.074) [-1365.866] -- 0:04:16
124000 -- (-1363.764) (-1361.672) [-1359.362] (-1362.408) * (-1358.076) (-1362.641) (-1366.470) [-1366.758] -- 0:04:14
125000 -- (-1367.512) (-1359.500) [-1357.547] (-1362.123) * [-1355.255] (-1358.553) (-1361.943) (-1365.106) -- 0:04:19
Average standard deviation of split frequencies: 0.016390
126000 -- (-1369.334) (-1354.682) [-1360.152] (-1360.458) * (-1356.579) (-1365.830) [-1358.396] (-1353.445) -- 0:04:16
127000 -- (-1375.622) (-1364.619) [-1361.006] (-1366.722) * (-1363.572) [-1365.256] (-1371.154) (-1365.597) -- 0:04:14
128000 -- (-1368.030) (-1365.236) (-1358.775) [-1364.156] * [-1358.756] (-1367.467) (-1369.907) (-1360.210) -- 0:04:12
129000 -- (-1364.888) (-1354.247) (-1365.394) [-1357.517] * (-1364.527) [-1362.094] (-1360.152) (-1363.388) -- 0:04:16
130000 -- [-1364.025] (-1370.117) (-1356.272) (-1356.440) * (-1373.808) [-1360.803] (-1366.807) (-1358.161) -- 0:04:14
Average standard deviation of split frequencies: 0.014431
131000 -- (-1355.734) (-1366.528) (-1367.165) [-1360.730] * (-1362.924) (-1362.670) (-1366.116) [-1358.104] -- 0:04:12
132000 -- (-1359.429) (-1367.975) [-1368.810] (-1358.979) * [-1354.584] (-1364.728) (-1368.244) (-1362.725) -- 0:04:16
133000 -- (-1368.001) (-1361.274) [-1362.416] (-1370.458) * [-1360.392] (-1370.391) (-1378.664) (-1370.131) -- 0:04:14
134000 -- [-1358.844] (-1363.078) (-1358.847) (-1358.382) * (-1368.213) (-1363.923) (-1357.649) [-1362.310] -- 0:04:12
135000 -- (-1369.561) (-1365.233) [-1374.706] (-1359.465) * [-1361.294] (-1372.255) (-1363.121) (-1363.439) -- 0:04:09
Average standard deviation of split frequencies: 0.017166
136000 -- [-1361.604] (-1364.954) (-1360.096) (-1370.914) * [-1363.977] (-1361.839) (-1361.348) (-1363.391) -- 0:04:14
137000 -- (-1357.374) (-1362.893) [-1369.259] (-1360.298) * (-1374.420) (-1358.657) (-1364.517) [-1364.025] -- 0:04:11
138000 -- (-1361.230) (-1359.883) (-1363.211) [-1359.704] * (-1359.820) [-1358.653] (-1357.274) (-1363.220) -- 0:04:09
139000 -- (-1365.710) (-1365.880) (-1361.740) [-1362.007] * [-1367.041] (-1364.528) (-1364.922) (-1361.089) -- 0:04:13
140000 -- (-1357.273) [-1369.070] (-1367.795) (-1361.376) * (-1362.664) (-1367.604) [-1372.067] (-1354.971) -- 0:04:11
Average standard deviation of split frequencies: 0.016604
141000 -- (-1362.708) (-1367.787) (-1365.757) [-1365.937] * (-1364.671) [-1352.312] (-1365.454) (-1361.662) -- 0:04:09
142000 -- (-1363.795) (-1362.671) (-1362.678) [-1358.795] * (-1362.017) (-1358.515) (-1361.657) [-1359.895] -- 0:04:13
143000 -- (-1365.632) (-1362.044) (-1364.735) [-1360.865] * (-1365.156) (-1360.845) (-1375.218) [-1357.574] -- 0:04:11
144000 -- (-1366.110) (-1366.632) (-1374.130) [-1357.153] * (-1359.110) (-1363.584) (-1358.153) [-1359.704] -- 0:04:09
145000 -- [-1356.006] (-1360.595) (-1357.837) (-1363.638) * (-1366.765) (-1368.689) (-1365.391) [-1363.411] -- 0:04:07
Average standard deviation of split frequencies: 0.016144
146000 -- [-1357.383] (-1359.469) (-1353.236) (-1372.925) * (-1363.531) (-1365.963) (-1365.434) [-1356.216] -- 0:04:11
147000 -- (-1363.933) (-1356.439) (-1361.499) [-1358.650] * [-1360.689] (-1369.133) (-1366.998) (-1356.386) -- 0:04:09
148000 -- (-1369.121) [-1359.617] (-1377.851) (-1361.564) * [-1367.853] (-1362.028) (-1367.224) (-1362.768) -- 0:04:07
149000 -- (-1371.528) [-1358.128] (-1368.206) (-1359.100) * (-1365.179) [-1362.659] (-1378.883) (-1365.326) -- 0:04:11
150000 -- [-1362.030] (-1373.432) (-1362.287) (-1360.439) * [-1361.764] (-1371.199) (-1370.717) (-1354.483) -- 0:04:09
Average standard deviation of split frequencies: 0.016071
151000 -- (-1356.965) (-1357.122) [-1357.732] (-1359.650) * (-1361.776) [-1366.560] (-1362.649) (-1358.881) -- 0:04:07
152000 -- [-1356.164] (-1362.275) (-1367.149) (-1357.058) * [-1364.275] (-1356.773) (-1368.511) (-1361.949) -- 0:04:05
153000 -- (-1362.169) (-1352.779) (-1364.221) [-1361.367] * (-1373.268) (-1365.533) (-1373.049) [-1360.234] -- 0:04:09
154000 -- (-1355.802) (-1359.415) (-1369.026) [-1363.633] * (-1361.756) [-1355.996] (-1374.292) (-1363.761) -- 0:04:07
155000 -- (-1355.026) (-1356.701) [-1362.496] (-1362.523) * (-1366.616) (-1356.577) (-1358.922) [-1360.115] -- 0:04:05
Average standard deviation of split frequencies: 0.016757
156000 -- (-1364.770) (-1357.379) (-1361.803) [-1364.145] * [-1362.044] (-1362.616) (-1360.906) (-1362.212) -- 0:04:03
157000 -- (-1365.855) (-1367.091) (-1363.754) [-1364.946] * [-1370.002] (-1361.000) (-1361.741) (-1362.982) -- 0:04:06
158000 -- (-1376.816) (-1365.215) (-1377.975) [-1360.038] * (-1366.860) [-1362.233] (-1366.993) (-1360.022) -- 0:04:05
159000 -- (-1363.447) (-1366.055) [-1360.642] (-1363.126) * (-1358.873) (-1361.091) [-1369.495] (-1361.790) -- 0:04:03
160000 -- (-1361.330) [-1359.690] (-1360.502) (-1358.983) * [-1360.011] (-1360.418) (-1363.595) (-1355.028) -- 0:04:06
Average standard deviation of split frequencies: 0.014404
161000 -- (-1358.428) (-1367.192) (-1367.396) [-1356.312] * (-1359.185) (-1364.687) (-1358.614) [-1359.118] -- 0:04:04
162000 -- (-1363.024) [-1358.240] (-1362.385) (-1357.963) * (-1365.756) [-1358.120] (-1370.153) (-1374.359) -- 0:04:03
163000 -- (-1358.206) [-1360.522] (-1369.189) (-1361.605) * (-1361.733) (-1361.365) (-1365.714) [-1365.016] -- 0:04:01
164000 -- (-1359.746) (-1369.073) [-1369.681] (-1362.388) * (-1361.857) [-1365.353] (-1362.751) (-1362.268) -- 0:04:04
165000 -- (-1370.735) (-1362.544) [-1366.966] (-1363.401) * (-1364.175) (-1364.146) [-1363.881] (-1365.300) -- 0:04:02
Average standard deviation of split frequencies: 0.014844
166000 -- (-1358.770) (-1366.105) [-1358.300] (-1372.100) * (-1364.873) [-1362.821] (-1360.228) (-1360.328) -- 0:04:01
167000 -- (-1364.442) (-1365.924) [-1358.689] (-1360.754) * (-1363.440) [-1361.706] (-1361.401) (-1372.872) -- 0:04:04
168000 -- (-1368.380) (-1366.617) (-1365.014) [-1365.750] * (-1365.546) [-1358.839] (-1362.169) (-1361.830) -- 0:04:02
169000 -- [-1360.096] (-1372.801) (-1359.003) (-1364.517) * [-1371.219] (-1357.164) (-1362.635) (-1360.184) -- 0:04:00
170000 -- [-1358.803] (-1370.213) (-1369.981) (-1381.528) * [-1363.452] (-1360.456) (-1360.863) (-1360.378) -- 0:03:59
Average standard deviation of split frequencies: 0.014815
171000 -- (-1365.727) (-1360.395) [-1359.043] (-1365.307) * (-1358.574) (-1362.970) (-1362.684) [-1357.371] -- 0:04:02
172000 -- (-1361.444) (-1361.011) (-1372.552) [-1364.666] * (-1362.140) [-1358.955] (-1367.566) (-1364.599) -- 0:04:00
173000 -- (-1375.670) [-1356.952] (-1361.618) (-1366.101) * (-1356.758) (-1369.715) (-1372.835) [-1359.573] -- 0:03:59
174000 -- [-1366.326] (-1362.005) (-1363.727) (-1364.840) * (-1378.295) (-1361.365) [-1360.880] (-1368.554) -- 0:04:02
175000 -- [-1365.512] (-1362.189) (-1360.443) (-1364.488) * (-1369.371) [-1359.062] (-1371.431) (-1359.128) -- 0:04:00
Average standard deviation of split frequencies: 0.014488
176000 -- (-1364.084) (-1354.395) (-1361.928) [-1357.381] * (-1360.456) (-1371.820) [-1358.575] (-1369.154) -- 0:03:58
177000 -- (-1355.796) (-1364.095) [-1363.756] (-1361.490) * (-1364.637) (-1359.893) [-1361.330] (-1364.140) -- 0:03:57
178000 -- (-1368.023) (-1363.274) [-1363.678] (-1359.572) * (-1361.624) [-1367.503] (-1362.793) (-1362.786) -- 0:04:00
179000 -- [-1364.013] (-1363.214) (-1365.911) (-1361.905) * (-1375.751) (-1360.614) (-1363.897) [-1359.852] -- 0:03:58
180000 -- (-1370.398) [-1360.961] (-1358.265) (-1355.485) * (-1365.363) (-1353.795) [-1359.153] (-1367.533) -- 0:03:56
Average standard deviation of split frequencies: 0.013792
181000 -- (-1359.050) (-1356.523) [-1362.649] (-1361.952) * [-1358.035] (-1372.987) (-1364.476) (-1358.663) -- 0:03:59
182000 -- (-1367.612) [-1359.145] (-1356.335) (-1369.813) * (-1361.580) [-1370.594] (-1360.882) (-1365.225) -- 0:03:58
183000 -- (-1374.790) (-1358.629) (-1361.271) [-1364.027] * (-1365.754) (-1370.495) [-1355.604] (-1362.195) -- 0:03:56
184000 -- (-1366.531) (-1358.482) [-1367.463] (-1360.710) * (-1363.292) [-1366.385] (-1367.202) (-1363.827) -- 0:03:55
185000 -- [-1356.696] (-1363.255) (-1360.089) (-1368.064) * (-1364.992) (-1363.335) [-1362.362] (-1362.559) -- 0:03:57
Average standard deviation of split frequencies: 0.015322
186000 -- (-1368.568) (-1369.010) [-1359.867] (-1362.196) * (-1363.167) [-1364.414] (-1358.500) (-1357.051) -- 0:03:56
187000 -- [-1365.879] (-1366.611) (-1357.343) (-1364.630) * [-1366.302] (-1361.690) (-1368.560) (-1363.874) -- 0:03:54
188000 -- (-1364.884) (-1357.491) [-1360.512] (-1357.399) * (-1366.928) (-1367.212) (-1357.500) [-1360.787] -- 0:03:57
189000 -- (-1361.379) (-1359.877) [-1363.338] (-1363.885) * (-1361.239) (-1373.597) (-1370.716) [-1364.006] -- 0:03:56
190000 -- (-1372.491) [-1358.677] (-1358.483) (-1363.755) * (-1357.205) (-1365.624) (-1364.492) [-1366.572] -- 0:03:54
Average standard deviation of split frequencies: 0.015284
191000 -- (-1355.235) (-1372.113) [-1360.936] (-1367.712) * (-1358.892) (-1362.351) [-1351.342] (-1354.082) -- 0:03:52
192000 -- (-1361.601) [-1369.205] (-1366.891) (-1377.087) * (-1356.920) [-1370.732] (-1367.242) (-1359.830) -- 0:03:55
193000 -- (-1375.495) (-1360.118) [-1360.407] (-1374.687) * (-1367.299) [-1364.504] (-1363.605) (-1359.348) -- 0:03:54
194000 -- (-1368.526) (-1354.452) [-1359.097] (-1364.320) * [-1363.099] (-1366.074) (-1365.900) (-1363.469) -- 0:03:52
195000 -- [-1363.327] (-1358.452) (-1363.275) (-1366.843) * [-1355.859] (-1365.336) (-1356.891) (-1365.042) -- 0:03:55
Average standard deviation of split frequencies: 0.013119
196000 -- (-1361.342) [-1358.517] (-1358.249) (-1364.148) * [-1358.821] (-1364.347) (-1364.469) (-1361.261) -- 0:03:53
197000 -- (-1364.524) [-1355.469] (-1358.583) (-1364.565) * [-1359.849] (-1367.209) (-1357.194) (-1364.944) -- 0:03:52
198000 -- (-1375.732) (-1360.002) (-1358.459) [-1357.799] * (-1364.724) [-1361.778] (-1357.379) (-1362.897) -- 0:03:54
199000 -- (-1364.310) [-1362.052] (-1359.178) (-1360.173) * [-1359.542] (-1364.162) (-1363.399) (-1363.405) -- 0:03:53
200000 -- (-1367.843) (-1362.035) [-1358.940] (-1362.845) * (-1359.777) (-1368.065) [-1358.071] (-1358.420) -- 0:03:52
Average standard deviation of split frequencies: 0.014095
201000 -- (-1367.864) (-1360.537) [-1361.300] (-1358.073) * (-1364.162) (-1362.472) [-1356.589] (-1365.667) -- 0:03:50
202000 -- [-1355.484] (-1363.851) (-1361.289) (-1356.031) * (-1365.120) (-1372.120) (-1363.132) [-1358.613] -- 0:03:53
203000 -- (-1368.233) (-1365.773) (-1357.318) [-1359.725] * (-1367.399) (-1366.960) (-1367.084) [-1365.949] -- 0:03:51
204000 -- (-1367.285) [-1360.182] (-1361.155) (-1357.580) * [-1362.018] (-1363.007) (-1365.521) (-1363.381) -- 0:03:50
205000 -- (-1366.192) [-1357.431] (-1361.948) (-1355.397) * (-1360.882) (-1364.341) (-1372.779) [-1364.354] -- 0:03:48
Average standard deviation of split frequencies: 0.014384
206000 -- (-1363.162) (-1354.959) [-1362.273] (-1365.990) * [-1356.789] (-1368.478) (-1365.893) (-1368.994) -- 0:03:51
207000 -- (-1364.910) (-1367.664) (-1365.410) [-1368.872] * [-1362.844] (-1364.703) (-1360.473) (-1371.661) -- 0:03:49
208000 -- (-1362.275) [-1363.345] (-1359.244) (-1362.107) * (-1366.447) [-1365.088] (-1371.732) (-1360.290) -- 0:03:48
209000 -- (-1365.166) (-1369.349) (-1364.720) [-1368.623] * [-1364.670] (-1359.403) (-1360.733) (-1357.135) -- 0:03:50
210000 -- (-1365.774) (-1355.638) (-1361.890) [-1363.474] * [-1356.818] (-1355.163) (-1357.042) (-1363.768) -- 0:03:49
Average standard deviation of split frequencies: 0.013426
211000 -- [-1360.036] (-1356.139) (-1364.172) (-1359.303) * [-1354.789] (-1362.527) (-1365.167) (-1369.780) -- 0:03:48
212000 -- (-1373.195) (-1358.772) [-1368.238] (-1367.520) * [-1361.200] (-1366.280) (-1367.957) (-1361.046) -- 0:03:46
213000 -- [-1360.563] (-1361.827) (-1365.070) (-1360.148) * (-1362.918) (-1371.523) [-1361.275] (-1360.349) -- 0:03:49
214000 -- [-1365.186] (-1365.759) (-1361.696) (-1365.887) * (-1358.980) (-1362.595) (-1364.120) [-1364.028] -- 0:03:47
215000 -- (-1369.422) [-1368.462] (-1370.922) (-1363.445) * (-1365.323) (-1365.868) (-1360.455) [-1368.626] -- 0:03:46
Average standard deviation of split frequencies: 0.013198
216000 -- (-1368.545) (-1373.880) [-1355.665] (-1363.895) * (-1370.477) (-1365.858) [-1357.302] (-1365.776) -- 0:03:48
217000 -- (-1372.572) (-1368.949) [-1360.874] (-1367.526) * (-1356.615) (-1365.176) (-1362.929) [-1359.311] -- 0:03:47
218000 -- (-1373.243) (-1361.396) [-1365.416] (-1366.657) * (-1369.250) (-1366.241) [-1364.450] (-1357.081) -- 0:03:45
219000 -- (-1368.130) (-1365.008) (-1371.562) [-1365.701] * (-1355.714) (-1361.481) [-1358.310] (-1362.849) -- 0:03:44
220000 -- (-1372.118) (-1364.906) (-1360.524) [-1368.454] * (-1359.872) (-1360.712) (-1373.584) [-1357.438] -- 0:03:46
Average standard deviation of split frequencies: 0.012332
221000 -- [-1362.980] (-1362.491) (-1362.969) (-1360.609) * [-1370.112] (-1368.500) (-1366.200) (-1365.185) -- 0:03:45
222000 -- [-1360.744] (-1355.844) (-1364.399) (-1365.653) * (-1365.735) (-1365.570) [-1359.443] (-1367.604) -- 0:03:44
223000 -- [-1359.135] (-1356.811) (-1368.113) (-1362.303) * (-1370.042) (-1366.162) (-1360.740) [-1358.725] -- 0:03:46
224000 -- (-1361.765) [-1360.461] (-1369.714) (-1355.724) * (-1379.873) (-1364.426) [-1354.712] (-1361.848) -- 0:03:45
225000 -- (-1363.037) (-1371.891) [-1355.273] (-1364.953) * (-1364.649) (-1364.974) [-1358.298] (-1362.296) -- 0:03:43
Average standard deviation of split frequencies: 0.011851
226000 -- (-1366.633) [-1365.463] (-1372.278) (-1361.876) * (-1376.275) (-1361.224) (-1365.688) [-1361.657] -- 0:03:42
227000 -- (-1369.808) [-1367.488] (-1365.193) (-1360.568) * (-1358.228) (-1357.740) (-1369.552) [-1362.790] -- 0:03:44
228000 -- (-1360.853) [-1361.929] (-1357.317) (-1363.967) * (-1365.647) [-1362.920] (-1363.754) (-1360.270) -- 0:03:43
229000 -- (-1363.445) [-1356.818] (-1365.035) (-1355.265) * (-1353.099) [-1355.469] (-1368.951) (-1361.558) -- 0:03:42
230000 -- (-1369.970) (-1363.550) (-1359.085) [-1360.093] * (-1361.515) (-1363.746) [-1356.941] (-1358.408) -- 0:03:44
Average standard deviation of split frequencies: 0.011426
231000 -- (-1366.169) [-1358.799] (-1370.788) (-1366.517) * (-1362.359) (-1360.298) [-1365.917] (-1371.413) -- 0:03:43
232000 -- (-1362.324) (-1363.315) (-1364.993) [-1366.761] * [-1358.359] (-1360.784) (-1365.251) (-1358.875) -- 0:03:41
233000 -- (-1356.932) (-1362.516) (-1361.190) [-1363.508] * (-1358.544) (-1356.825) (-1361.596) [-1354.767] -- 0:03:40
234000 -- (-1361.645) (-1367.052) (-1356.451) [-1361.588] * (-1360.058) (-1361.011) (-1364.444) [-1361.777] -- 0:03:42
235000 -- (-1366.684) (-1367.020) [-1364.179] (-1364.798) * (-1362.953) (-1370.806) [-1355.268] (-1373.607) -- 0:03:41
Average standard deviation of split frequencies: 0.011531
236000 -- (-1353.075) (-1367.313) [-1359.776] (-1368.200) * (-1363.490) (-1359.690) [-1362.302] (-1367.315) -- 0:03:40
237000 -- [-1361.918] (-1354.239) (-1367.626) (-1364.710) * (-1363.962) (-1363.923) [-1361.208] (-1358.481) -- 0:03:42
238000 -- (-1367.072) (-1357.265) [-1360.477] (-1367.936) * (-1365.764) [-1363.557] (-1364.120) (-1356.853) -- 0:03:40
239000 -- (-1360.103) (-1370.057) [-1361.059] (-1376.101) * [-1358.203] (-1361.548) (-1374.434) (-1359.917) -- 0:03:39
240000 -- (-1368.850) (-1365.682) [-1357.086] (-1367.045) * (-1362.031) (-1367.508) (-1368.471) [-1359.538] -- 0:03:38
Average standard deviation of split frequencies: 0.011396
241000 -- (-1357.265) (-1359.642) [-1358.102] (-1363.136) * [-1356.989] (-1358.227) (-1363.007) (-1367.769) -- 0:03:40
242000 -- [-1362.824] (-1360.928) (-1355.493) (-1368.574) * [-1356.415] (-1375.935) (-1364.687) (-1361.287) -- 0:03:39
243000 -- (-1365.121) (-1377.927) (-1358.959) [-1362.551] * (-1365.743) [-1362.876] (-1371.547) (-1357.796) -- 0:03:38
244000 -- [-1354.106] (-1370.397) (-1365.296) (-1356.530) * (-1367.707) [-1360.078] (-1372.425) (-1366.316) -- 0:03:36
245000 -- [-1358.428] (-1360.584) (-1360.382) (-1356.135) * (-1360.626) (-1368.272) (-1358.544) [-1360.934] -- 0:03:38
Average standard deviation of split frequencies: 0.010714
246000 -- [-1366.925] (-1362.476) (-1352.397) (-1371.568) * (-1378.860) (-1362.297) [-1362.037] (-1366.420) -- 0:03:37
247000 -- (-1370.429) [-1366.420] (-1360.600) (-1364.975) * (-1370.204) [-1362.726] (-1357.301) (-1363.616) -- 0:03:36
248000 -- (-1359.525) (-1363.519) [-1363.381] (-1365.873) * (-1359.567) [-1364.698] (-1356.878) (-1361.041) -- 0:03:38
249000 -- (-1357.152) [-1362.837] (-1363.507) (-1360.338) * [-1358.357] (-1355.379) (-1364.655) (-1366.492) -- 0:03:37
250000 -- (-1362.590) (-1357.254) [-1355.324] (-1368.276) * [-1355.515] (-1365.903) (-1361.485) (-1362.508) -- 0:03:36
Average standard deviation of split frequencies: 0.010567
251000 -- (-1364.135) [-1362.078] (-1359.907) (-1356.583) * [-1368.801] (-1367.091) (-1363.775) (-1359.753) -- 0:03:37
252000 -- (-1366.964) (-1365.791) [-1366.464] (-1369.256) * (-1365.685) (-1361.760) [-1367.528] (-1378.735) -- 0:03:36
253000 -- [-1364.307] (-1366.690) (-1376.110) (-1368.126) * [-1365.242] (-1374.850) (-1361.963) (-1361.811) -- 0:03:35
254000 -- (-1368.028) (-1363.666) (-1360.500) [-1357.732] * (-1362.572) [-1370.526] (-1357.727) (-1363.639) -- 0:03:34
255000 -- [-1364.055] (-1368.746) (-1369.748) (-1362.021) * (-1361.488) [-1360.672] (-1368.189) (-1368.886) -- 0:03:36
Average standard deviation of split frequencies: 0.011136
256000 -- (-1355.497) [-1362.889] (-1370.720) (-1370.804) * (-1358.415) (-1358.778) (-1363.167) [-1363.852] -- 0:03:35
257000 -- (-1361.772) (-1367.369) (-1370.156) [-1362.464] * (-1366.847) (-1361.939) [-1357.117] (-1371.464) -- 0:03:33
258000 -- (-1364.122) (-1372.780) [-1354.620] (-1357.995) * (-1370.774) (-1361.986) [-1364.588] (-1364.910) -- 0:03:35
259000 -- [-1356.563] (-1367.369) (-1361.160) (-1362.794) * (-1372.637) (-1364.591) (-1361.756) [-1359.215] -- 0:03:34
260000 -- [-1358.865] (-1363.090) (-1364.822) (-1375.875) * (-1367.946) (-1366.251) (-1367.587) [-1363.903] -- 0:03:33
Average standard deviation of split frequencies: 0.011626
261000 -- (-1376.862) (-1366.420) (-1361.486) [-1362.461] * (-1371.694) (-1367.673) [-1363.843] (-1362.390) -- 0:03:32
262000 -- (-1365.610) (-1359.386) [-1366.660] (-1363.276) * [-1356.060] (-1365.970) (-1359.279) (-1371.316) -- 0:03:34
263000 -- (-1359.301) (-1369.252) (-1366.203) [-1356.747] * (-1359.385) (-1373.114) [-1361.361] (-1366.855) -- 0:03:32
264000 -- [-1360.018] (-1370.240) (-1373.553) (-1359.131) * (-1360.050) [-1365.789] (-1359.849) (-1370.710) -- 0:03:31
265000 -- (-1356.909) [-1371.038] (-1363.772) (-1369.081) * (-1360.223) [-1363.547] (-1367.637) (-1372.339) -- 0:03:33
Average standard deviation of split frequencies: 0.011842
266000 -- (-1352.429) [-1360.920] (-1363.690) (-1361.585) * (-1360.320) (-1360.098) [-1362.896] (-1362.012) -- 0:03:32
267000 -- (-1359.277) (-1360.563) (-1363.105) [-1372.676] * (-1360.238) (-1366.135) [-1369.694] (-1365.089) -- 0:03:31
268000 -- (-1382.916) (-1364.304) (-1361.914) [-1359.681] * (-1357.624) [-1359.485] (-1360.192) (-1368.465) -- 0:03:30
269000 -- (-1364.338) (-1374.349) [-1362.115] (-1365.004) * (-1360.195) [-1359.653] (-1361.122) (-1361.718) -- 0:03:31
270000 -- (-1362.905) (-1372.016) (-1355.394) [-1355.792] * [-1360.155] (-1363.356) (-1368.875) (-1366.777) -- 0:03:30
Average standard deviation of split frequencies: 0.012271
271000 -- (-1368.619) (-1358.975) [-1360.083] (-1360.481) * (-1363.606) (-1364.970) (-1365.677) [-1370.255] -- 0:03:29
272000 -- (-1366.747) [-1352.324] (-1359.188) (-1360.822) * (-1370.199) [-1365.404] (-1370.495) (-1368.234) -- 0:03:28
273000 -- (-1361.872) (-1362.205) (-1364.021) [-1362.883] * (-1363.277) (-1359.272) [-1361.440] (-1357.830) -- 0:03:30
274000 -- (-1359.399) (-1368.863) (-1366.200) [-1362.016] * (-1362.095) [-1365.274] (-1363.114) (-1363.239) -- 0:03:29
275000 -- (-1365.645) (-1367.443) [-1355.268] (-1363.893) * (-1368.375) (-1369.689) [-1360.702] (-1354.444) -- 0:03:28
Average standard deviation of split frequencies: 0.011801
276000 -- (-1367.736) [-1361.892] (-1371.861) (-1366.615) * (-1370.486) (-1360.560) [-1366.659] (-1366.567) -- 0:03:29
277000 -- [-1367.276] (-1357.532) (-1366.621) (-1357.547) * (-1359.715) (-1360.634) (-1374.542) [-1359.610] -- 0:03:28
278000 -- (-1373.693) (-1360.995) (-1365.596) [-1370.584] * (-1365.901) (-1376.517) [-1364.838] (-1355.045) -- 0:03:27
279000 -- (-1362.111) (-1360.749) (-1370.702) [-1359.577] * (-1368.914) [-1369.410] (-1363.318) (-1358.007) -- 0:03:26
280000 -- (-1364.126) [-1360.366] (-1365.435) (-1366.937) * (-1371.901) (-1365.237) (-1362.366) [-1358.250] -- 0:03:28
Average standard deviation of split frequencies: 0.012237
281000 -- (-1366.208) (-1358.417) (-1356.535) [-1359.238] * (-1367.014) (-1372.476) (-1358.642) [-1358.780] -- 0:03:27
282000 -- (-1360.832) (-1375.400) (-1369.941) [-1366.941] * (-1362.020) [-1360.134] (-1361.475) (-1363.047) -- 0:03:26
283000 -- [-1360.847] (-1367.243) (-1361.635) (-1367.285) * (-1376.549) (-1364.215) [-1357.369] (-1366.425) -- 0:03:27
284000 -- [-1357.124] (-1368.116) (-1360.037) (-1364.692) * (-1358.773) (-1359.365) [-1355.836] (-1372.697) -- 0:03:26
285000 -- (-1359.084) (-1368.188) [-1363.616] (-1362.190) * [-1360.827] (-1355.603) (-1359.202) (-1371.284) -- 0:03:25
Average standard deviation of split frequencies: 0.011912
286000 -- (-1362.858) (-1355.275) [-1362.683] (-1355.736) * (-1360.312) (-1360.773) [-1362.156] (-1365.018) -- 0:03:24
287000 -- [-1358.237] (-1360.903) (-1361.836) (-1374.944) * [-1362.708] (-1372.670) (-1367.425) (-1368.323) -- 0:03:26
288000 -- (-1362.766) [-1361.330] (-1358.759) (-1368.321) * (-1368.690) [-1364.443] (-1355.047) (-1372.563) -- 0:03:25
289000 -- (-1369.254) (-1374.955) (-1367.485) [-1366.155] * (-1374.998) (-1363.926) (-1366.231) [-1370.719] -- 0:03:24
290000 -- (-1360.559) (-1369.016) (-1363.623) [-1371.211] * [-1361.006] (-1359.686) (-1357.797) (-1365.561) -- 0:03:25
Average standard deviation of split frequencies: 0.011721
291000 -- (-1359.399) [-1364.907] (-1369.733) (-1374.174) * (-1366.865) (-1364.504) [-1357.044] (-1362.180) -- 0:03:24
292000 -- [-1358.362] (-1360.874) (-1359.379) (-1369.811) * (-1355.702) (-1364.461) (-1370.640) [-1353.912] -- 0:03:23
293000 -- [-1355.112] (-1365.850) (-1365.290) (-1359.900) * [-1355.787] (-1353.240) (-1374.166) (-1366.362) -- 0:03:22
294000 -- (-1361.183) (-1369.003) (-1360.689) [-1359.306] * (-1357.630) [-1360.090] (-1361.340) (-1362.491) -- 0:03:24
295000 -- (-1355.494) [-1355.913] (-1357.188) (-1364.101) * (-1360.295) (-1371.819) [-1358.672] (-1362.994) -- 0:03:23
Average standard deviation of split frequencies: 0.011906
296000 -- [-1358.800] (-1364.332) (-1359.158) (-1360.943) * (-1363.343) (-1359.818) [-1364.256] (-1357.215) -- 0:03:22
297000 -- (-1353.436) (-1362.907) [-1358.457] (-1364.966) * (-1376.117) (-1361.855) [-1364.800] (-1365.343) -- 0:03:23
298000 -- (-1365.079) (-1361.115) [-1358.921] (-1371.776) * [-1354.289] (-1360.544) (-1360.864) (-1355.025) -- 0:03:22
299000 -- (-1364.303) (-1363.406) (-1366.706) [-1353.477] * (-1361.124) (-1363.031) [-1361.248] (-1366.424) -- 0:03:21
300000 -- (-1379.399) [-1374.167] (-1368.610) (-1360.759) * (-1354.225) (-1363.546) (-1360.369) [-1361.577] -- 0:03:20
Average standard deviation of split frequencies: 0.012468
301000 -- [-1367.760] (-1372.162) (-1357.765) (-1360.263) * (-1359.335) [-1358.397] (-1357.989) (-1369.029) -- 0:03:22
302000 -- [-1361.098] (-1374.454) (-1360.136) (-1362.714) * (-1374.860) (-1363.963) [-1361.497] (-1356.326) -- 0:03:21
303000 -- [-1354.190] (-1367.032) (-1362.054) (-1370.146) * (-1369.260) (-1365.106) [-1364.988] (-1364.510) -- 0:03:20
304000 -- (-1362.936) (-1359.453) [-1357.158] (-1361.333) * (-1361.757) (-1356.764) [-1365.743] (-1368.501) -- 0:03:21
305000 -- (-1361.451) (-1358.261) [-1360.111] (-1370.064) * (-1383.638) [-1361.675] (-1371.962) (-1360.668) -- 0:03:20
Average standard deviation of split frequencies: 0.012324
306000 -- (-1366.956) (-1369.660) (-1364.533) [-1355.383] * (-1362.921) [-1362.107] (-1361.626) (-1356.292) -- 0:03:19
307000 -- (-1369.098) (-1361.931) [-1357.750] (-1364.706) * [-1359.789] (-1369.816) (-1359.841) (-1367.465) -- 0:03:18
308000 -- (-1362.377) [-1364.043] (-1356.874) (-1362.230) * (-1366.317) [-1362.480] (-1361.828) (-1364.940) -- 0:03:19
309000 -- [-1362.655] (-1364.426) (-1364.524) (-1369.665) * (-1370.859) (-1361.444) [-1361.086] (-1373.658) -- 0:03:19
310000 -- (-1362.147) (-1367.956) (-1362.704) [-1367.837] * [-1358.840] (-1363.890) (-1370.658) (-1369.535) -- 0:03:18
Average standard deviation of split frequencies: 0.012573
311000 -- (-1369.366) [-1363.462] (-1368.405) (-1356.335) * (-1361.968) (-1366.582) (-1366.663) [-1359.115] -- 0:03:19
312000 -- (-1361.439) (-1363.141) [-1357.851] (-1366.586) * [-1362.623] (-1362.499) (-1361.024) (-1363.978) -- 0:03:18
313000 -- (-1360.507) (-1364.737) [-1366.215] (-1374.762) * (-1367.478) [-1355.599] (-1362.311) (-1364.977) -- 0:03:17
314000 -- (-1364.569) [-1354.501] (-1364.842) (-1361.437) * (-1363.721) (-1367.657) (-1356.651) [-1360.558] -- 0:03:16
315000 -- (-1368.408) [-1360.773] (-1368.659) (-1359.277) * (-1360.189) (-1356.824) (-1366.572) [-1361.878] -- 0:03:17
Average standard deviation of split frequencies: 0.012083
316000 -- (-1366.888) (-1359.382) [-1357.507] (-1365.152) * (-1377.896) [-1355.642] (-1364.840) (-1361.263) -- 0:03:16
317000 -- (-1360.371) (-1358.628) (-1360.644) [-1359.580] * (-1355.486) [-1360.327] (-1365.506) (-1363.531) -- 0:03:16
318000 -- (-1374.203) (-1361.570) (-1360.422) [-1368.115] * (-1370.308) (-1365.241) [-1359.023] (-1368.546) -- 0:03:17
319000 -- (-1366.114) [-1362.918] (-1361.115) (-1364.214) * [-1368.750] (-1357.985) (-1361.357) (-1360.045) -- 0:03:16
320000 -- (-1364.245) [-1359.375] (-1359.046) (-1358.997) * [-1367.831] (-1360.531) (-1366.321) (-1365.660) -- 0:03:15
Average standard deviation of split frequencies: 0.010501
321000 -- (-1360.940) [-1360.580] (-1361.691) (-1353.211) * (-1368.224) (-1359.120) [-1361.173] (-1365.954) -- 0:03:16
322000 -- (-1368.761) (-1377.911) (-1366.120) [-1358.583] * (-1366.907) (-1367.205) (-1364.859) [-1357.526] -- 0:03:15
323000 -- [-1363.723] (-1364.259) (-1363.095) (-1358.298) * [-1369.930] (-1368.238) (-1370.650) (-1372.305) -- 0:03:14
324000 -- (-1362.030) (-1360.774) [-1355.508] (-1360.315) * (-1361.792) (-1362.057) (-1368.607) [-1355.107] -- 0:03:14
325000 -- (-1361.203) (-1365.167) (-1361.157) [-1369.057] * [-1361.368] (-1369.009) (-1359.815) (-1363.229) -- 0:03:15
Average standard deviation of split frequencies: 0.009847
326000 -- (-1367.361) (-1369.055) [-1365.122] (-1365.400) * (-1361.835) (-1381.477) (-1375.450) [-1362.076] -- 0:03:14
327000 -- (-1364.017) (-1360.121) [-1357.528] (-1361.174) * (-1370.772) [-1363.449] (-1365.159) (-1357.738) -- 0:03:13
328000 -- [-1362.433] (-1361.227) (-1370.729) (-1374.408) * (-1365.076) (-1363.500) (-1371.635) [-1364.205] -- 0:03:14
329000 -- (-1371.955) [-1351.940] (-1371.759) (-1364.207) * (-1365.320) (-1360.382) [-1359.791] (-1361.504) -- 0:03:13
330000 -- (-1369.387) (-1354.515) (-1365.865) [-1362.657] * (-1367.586) (-1364.147) (-1364.988) [-1363.404] -- 0:03:12
Average standard deviation of split frequencies: 0.009526
331000 -- (-1365.519) (-1368.515) [-1365.584] (-1359.150) * (-1358.879) (-1362.468) (-1372.581) [-1361.610] -- 0:03:12
332000 -- (-1367.660) (-1359.595) [-1364.297] (-1353.923) * [-1360.638] (-1371.810) (-1365.923) (-1361.895) -- 0:03:13
333000 -- [-1367.401] (-1355.702) (-1361.095) (-1356.620) * (-1362.695) [-1359.236] (-1363.006) (-1363.591) -- 0:03:12
334000 -- (-1363.379) (-1355.530) [-1354.190] (-1367.360) * (-1362.154) [-1357.809] (-1361.927) (-1363.111) -- 0:03:11
335000 -- [-1366.368] (-1356.843) (-1361.561) (-1368.212) * (-1376.682) (-1360.704) [-1362.025] (-1357.113) -- 0:03:12
Average standard deviation of split frequencies: 0.009086
336000 -- (-1365.135) [-1363.555] (-1356.188) (-1363.126) * (-1370.218) [-1374.473] (-1365.327) (-1356.138) -- 0:03:11
337000 -- [-1365.826] (-1356.057) (-1358.478) (-1362.693) * (-1360.674) [-1361.758] (-1358.855) (-1368.387) -- 0:03:10
338000 -- [-1364.261] (-1362.790) (-1359.353) (-1363.889) * [-1364.606] (-1364.104) (-1368.576) (-1367.589) -- 0:03:09
339000 -- (-1365.188) (-1362.473) (-1360.599) [-1361.828] * (-1360.734) (-1371.601) [-1358.480] (-1373.785) -- 0:03:11
340000 -- (-1370.173) (-1367.900) (-1358.603) [-1364.384] * [-1358.849] (-1361.556) (-1367.516) (-1362.331) -- 0:03:10
Average standard deviation of split frequencies: 0.009271
341000 -- (-1366.362) (-1362.436) [-1359.065] (-1366.392) * (-1361.157) (-1356.464) [-1358.014] (-1362.037) -- 0:03:09
342000 -- (-1369.264) [-1360.272] (-1359.789) (-1361.222) * (-1372.293) (-1363.059) [-1353.310] (-1366.715) -- 0:03:08
343000 -- (-1365.963) (-1359.067) [-1363.786] (-1374.959) * (-1356.328) (-1369.503) (-1359.316) [-1369.215] -- 0:03:09
344000 -- (-1369.426) (-1364.033) [-1365.521] (-1362.044) * (-1362.786) [-1357.014] (-1364.220) (-1363.304) -- 0:03:08
345000 -- (-1358.945) (-1358.436) (-1360.933) [-1360.032] * [-1359.478] (-1364.521) (-1366.322) (-1372.803) -- 0:03:07
Average standard deviation of split frequencies: 0.008670
346000 -- (-1366.839) (-1362.553) [-1362.040] (-1360.110) * (-1367.423) (-1368.905) [-1356.477] (-1366.784) -- 0:03:09
347000 -- [-1360.341] (-1357.437) (-1367.093) (-1365.454) * (-1369.856) (-1361.877) (-1364.213) [-1359.421] -- 0:03:08
348000 -- [-1357.407] (-1362.369) (-1379.223) (-1364.976) * (-1363.095) [-1366.716] (-1383.273) (-1366.458) -- 0:03:07
349000 -- (-1359.636) (-1367.775) (-1363.029) [-1360.434] * (-1362.938) (-1374.844) (-1363.879) [-1362.406] -- 0:03:08
350000 -- [-1356.451] (-1371.250) (-1368.692) (-1369.805) * [-1357.653] (-1367.491) (-1359.685) (-1366.639) -- 0:03:07
Average standard deviation of split frequencies: 0.008860
351000 -- (-1367.613) [-1360.947] (-1358.477) (-1366.891) * (-1356.636) (-1357.340) (-1359.385) [-1353.224] -- 0:03:06
352000 -- (-1361.480) (-1369.539) (-1356.952) [-1363.378] * (-1362.739) (-1362.480) [-1360.362] (-1361.779) -- 0:03:07
353000 -- (-1378.457) (-1359.227) [-1362.176] (-1365.365) * (-1365.316) (-1366.464) [-1362.251] (-1372.703) -- 0:03:06
354000 -- (-1373.716) (-1364.118) (-1358.453) [-1364.689] * (-1361.428) (-1363.677) (-1362.404) [-1360.894] -- 0:03:06
355000 -- (-1374.144) (-1365.954) (-1361.567) [-1359.472] * (-1364.520) (-1363.054) [-1366.908] (-1362.374) -- 0:03:05
Average standard deviation of split frequencies: 0.008547
356000 -- [-1356.401] (-1362.868) (-1358.498) (-1367.717) * (-1358.191) (-1363.873) [-1353.402] (-1360.986) -- 0:03:06
357000 -- (-1374.097) (-1362.292) [-1359.416] (-1365.315) * [-1358.726] (-1364.528) (-1363.327) (-1352.712) -- 0:03:05
358000 -- (-1370.412) (-1367.188) [-1361.429] (-1366.449) * (-1361.570) [-1360.193] (-1367.425) (-1367.131) -- 0:03:04
359000 -- (-1359.779) (-1370.287) (-1365.291) [-1357.989] * (-1356.873) (-1360.960) (-1365.431) [-1358.370] -- 0:03:05
360000 -- (-1386.244) (-1371.110) [-1361.153] (-1370.137) * (-1362.539) (-1354.343) [-1357.039] (-1363.869) -- 0:03:04
Average standard deviation of split frequencies: 0.008757
361000 -- [-1356.991] (-1365.060) (-1368.263) (-1367.027) * (-1365.552) [-1355.388] (-1370.146) (-1368.849) -- 0:03:04
362000 -- [-1357.943] (-1368.591) (-1360.770) (-1356.848) * [-1358.199] (-1366.679) (-1360.182) (-1361.498) -- 0:03:03
363000 -- (-1361.164) (-1363.968) (-1363.890) [-1360.704] * (-1358.494) [-1362.420] (-1363.028) (-1371.009) -- 0:03:04
364000 -- (-1357.097) (-1361.412) [-1361.767] (-1371.335) * (-1368.494) (-1369.858) (-1362.226) [-1365.108] -- 0:03:03
365000 -- [-1354.009] (-1368.950) (-1359.529) (-1374.354) * [-1368.835] (-1363.516) (-1369.437) (-1374.495) -- 0:03:02
Average standard deviation of split frequencies: 0.008548
366000 -- (-1369.012) (-1373.296) (-1367.800) [-1358.831] * (-1365.593) [-1358.509] (-1362.938) (-1370.419) -- 0:03:03
367000 -- (-1370.281) (-1363.299) [-1350.929] (-1367.123) * (-1362.940) [-1353.833] (-1368.107) (-1369.559) -- 0:03:02
368000 -- (-1362.473) [-1364.618] (-1365.070) (-1358.422) * (-1360.297) [-1359.827] (-1365.775) (-1361.163) -- 0:03:02
369000 -- [-1357.238] (-1371.272) (-1355.897) (-1357.110) * (-1355.558) (-1357.114) [-1375.403] (-1364.572) -- 0:03:01
370000 -- (-1363.842) [-1361.984] (-1350.679) (-1360.094) * [-1359.853] (-1359.942) (-1364.903) (-1356.412) -- 0:03:02
Average standard deviation of split frequencies: 0.008498
371000 -- (-1356.324) (-1358.854) (-1375.271) [-1359.373] * (-1353.689) (-1364.543) [-1357.804] (-1371.255) -- 0:03:01
372000 -- (-1364.978) (-1359.057) (-1360.708) [-1358.148] * (-1365.860) [-1358.449] (-1358.832) (-1376.916) -- 0:03:00
373000 -- (-1364.428) (-1358.728) (-1362.466) [-1363.237] * (-1363.391) (-1353.325) [-1361.075] (-1358.330) -- 0:03:01
374000 -- (-1363.424) (-1369.778) [-1356.329] (-1364.477) * [-1353.754] (-1375.367) (-1362.677) (-1355.318) -- 0:03:00
375000 -- (-1365.930) [-1359.503] (-1365.258) (-1362.023) * (-1358.482) [-1359.895] (-1360.998) (-1369.390) -- 0:03:00
Average standard deviation of split frequencies: 0.008060
376000 -- (-1368.164) (-1359.927) (-1367.598) [-1350.044] * (-1365.116) (-1368.946) (-1360.889) [-1363.721] -- 0:03:00
377000 -- (-1367.572) (-1363.074) (-1366.329) [-1359.002] * [-1357.888] (-1364.123) (-1358.121) (-1368.454) -- 0:03:00
378000 -- (-1366.173) [-1351.290] (-1363.316) (-1361.983) * (-1364.004) (-1361.185) [-1368.413] (-1361.166) -- 0:02:59
379000 -- (-1374.504) [-1357.841] (-1359.022) (-1362.369) * [-1364.418] (-1363.053) (-1356.456) (-1366.543) -- 0:02:58
380000 -- (-1366.305) [-1360.565] (-1359.657) (-1362.438) * [-1363.406] (-1362.649) (-1363.071) (-1362.319) -- 0:02:59
Average standard deviation of split frequencies: 0.007725
381000 -- (-1365.056) [-1361.154] (-1372.189) (-1360.096) * (-1370.281) [-1356.407] (-1363.357) (-1364.429) -- 0:02:58
382000 -- [-1364.801] (-1355.408) (-1365.136) (-1362.198) * [-1363.879] (-1365.678) (-1369.587) (-1360.272) -- 0:02:57
383000 -- (-1371.551) (-1358.877) [-1363.287] (-1360.069) * (-1370.888) (-1363.053) [-1366.470] (-1361.764) -- 0:02:57
384000 -- (-1361.712) [-1357.914] (-1364.454) (-1360.199) * (-1371.611) (-1361.482) (-1371.140) [-1357.486] -- 0:02:58
385000 -- (-1366.246) [-1357.118] (-1365.891) (-1360.594) * (-1371.553) [-1363.071] (-1370.529) (-1359.963) -- 0:02:57
Average standard deviation of split frequencies: 0.007593
386000 -- (-1360.103) (-1363.629) (-1358.877) [-1364.961] * (-1369.261) (-1367.450) [-1364.810] (-1364.370) -- 0:02:56
387000 -- (-1371.942) (-1357.510) (-1367.221) [-1362.747] * [-1356.886] (-1364.559) (-1364.019) (-1356.988) -- 0:02:57
388000 -- (-1365.800) (-1374.196) (-1365.318) [-1359.981] * [-1362.100] (-1358.138) (-1356.163) (-1368.058) -- 0:02:56
389000 -- (-1362.151) (-1366.122) [-1360.596] (-1363.039) * (-1356.856) (-1369.578) [-1362.779] (-1366.648) -- 0:02:55
390000 -- [-1360.440] (-1370.105) (-1365.420) (-1355.295) * [-1358.224] (-1363.715) (-1359.304) (-1360.339) -- 0:02:56
Average standard deviation of split frequencies: 0.007700
391000 -- (-1366.258) (-1354.417) [-1359.191] (-1371.103) * (-1373.460) (-1365.353) [-1365.827] (-1355.522) -- 0:02:56
392000 -- (-1360.379) (-1357.070) (-1365.387) [-1368.797] * (-1360.008) [-1356.146] (-1369.637) (-1354.727) -- 0:02:55
393000 -- (-1361.005) (-1356.811) [-1360.601] (-1373.908) * (-1354.573) (-1376.778) (-1366.551) [-1363.064] -- 0:02:54
394000 -- (-1365.674) (-1365.223) [-1370.677] (-1366.310) * (-1368.679) (-1362.175) (-1358.242) [-1354.251] -- 0:02:55
395000 -- (-1363.804) (-1363.542) [-1357.472] (-1372.282) * (-1359.895) (-1361.419) [-1363.513] (-1370.293) -- 0:02:54
Average standard deviation of split frequencies: 0.007653
396000 -- [-1360.946] (-1361.767) (-1363.327) (-1365.999) * (-1360.715) [-1367.115] (-1365.297) (-1367.471) -- 0:02:53
397000 -- (-1363.611) (-1371.352) [-1360.228] (-1370.385) * (-1364.116) (-1370.137) [-1359.610] (-1358.423) -- 0:02:54
398000 -- (-1366.842) (-1366.660) [-1361.769] (-1380.552) * (-1360.896) [-1368.100] (-1367.948) (-1360.294) -- 0:02:53
399000 -- [-1360.141] (-1360.614) (-1366.613) (-1373.248) * (-1365.958) [-1357.536] (-1368.217) (-1363.708) -- 0:02:53
400000 -- (-1355.689) [-1358.794] (-1374.636) (-1365.261) * [-1367.944] (-1363.532) (-1366.855) (-1363.727) -- 0:02:52
Average standard deviation of split frequencies: 0.007451
401000 -- (-1363.866) (-1363.763) (-1366.428) [-1358.945] * (-1368.154) (-1365.391) [-1371.485] (-1365.347) -- 0:02:53
402000 -- (-1367.855) [-1359.570] (-1378.809) (-1365.453) * [-1367.294] (-1362.540) (-1361.354) (-1354.527) -- 0:02:52
403000 -- (-1365.473) [-1359.617] (-1366.955) (-1364.199) * (-1374.339) (-1360.486) (-1368.989) [-1357.435] -- 0:02:51
404000 -- (-1366.441) [-1362.886] (-1365.721) (-1367.229) * [-1359.619] (-1365.786) (-1366.913) (-1364.716) -- 0:02:52
405000 -- (-1366.541) (-1365.876) (-1367.496) [-1359.527] * [-1360.656] (-1358.171) (-1366.103) (-1361.072) -- 0:02:51
Average standard deviation of split frequencies: 0.007230
406000 -- (-1369.548) (-1371.789) (-1359.341) [-1357.329] * (-1362.854) (-1361.951) [-1355.341] (-1368.014) -- 0:02:51
407000 -- (-1362.466) (-1361.512) (-1370.246) [-1359.531] * (-1364.603) (-1359.778) [-1363.269] (-1359.909) -- 0:02:50
408000 -- (-1362.431) (-1364.836) (-1369.315) [-1361.359] * (-1361.258) [-1355.191] (-1371.219) (-1363.762) -- 0:02:51
409000 -- (-1367.527) (-1364.088) (-1374.282) [-1359.483] * (-1352.251) (-1363.316) [-1365.069] (-1359.268) -- 0:02:50
410000 -- (-1360.151) (-1370.609) (-1361.970) [-1362.104] * [-1363.088] (-1353.734) (-1355.147) (-1360.848) -- 0:02:49
Average standard deviation of split frequencies: 0.006835
411000 -- (-1371.808) (-1364.651) [-1355.947] (-1363.118) * (-1356.801) (-1374.805) (-1359.485) [-1356.238] -- 0:02:49
412000 -- (-1361.358) [-1366.580] (-1364.700) (-1363.014) * (-1361.134) (-1365.161) (-1371.549) [-1353.013] -- 0:02:49
413000 -- (-1370.555) [-1355.252] (-1356.441) (-1363.868) * (-1361.656) (-1368.618) [-1361.472] (-1368.262) -- 0:02:49
414000 -- (-1364.244) (-1361.296) (-1360.418) [-1357.488] * (-1359.634) (-1357.638) (-1360.379) [-1370.982] -- 0:02:48
415000 -- (-1364.558) [-1362.620] (-1363.265) (-1360.080) * (-1362.815) (-1369.734) [-1363.302] (-1367.633) -- 0:02:49
Average standard deviation of split frequencies: 0.007501
416000 -- (-1361.126) (-1358.374) (-1379.639) [-1358.457] * (-1364.689) [-1358.124] (-1365.949) (-1360.112) -- 0:02:48
417000 -- [-1358.850] (-1380.026) (-1360.392) (-1352.406) * (-1359.278) (-1361.426) [-1361.777] (-1365.987) -- 0:02:47
418000 -- (-1361.259) [-1357.179] (-1359.201) (-1370.156) * (-1370.949) [-1358.446] (-1359.608) (-1362.914) -- 0:02:48
419000 -- (-1371.248) (-1368.751) (-1359.813) [-1364.196] * (-1372.440) [-1360.871] (-1353.591) (-1365.390) -- 0:02:47
420000 -- [-1356.920] (-1369.015) (-1361.121) (-1359.369) * [-1361.077] (-1374.602) (-1366.344) (-1369.525) -- 0:02:47
Average standard deviation of split frequencies: 0.008058
421000 -- (-1367.524) (-1370.359) (-1360.578) [-1372.438] * [-1357.342] (-1376.279) (-1364.148) (-1378.456) -- 0:02:46
422000 -- (-1364.360) (-1358.184) (-1361.534) [-1358.897] * [-1363.767] (-1363.342) (-1358.754) (-1358.670) -- 0:02:47
423000 -- (-1361.255) (-1359.439) [-1360.877] (-1360.601) * [-1359.976] (-1361.955) (-1363.688) (-1367.621) -- 0:02:46
424000 -- (-1362.858) (-1355.573) [-1358.482] (-1363.938) * (-1360.653) (-1368.385) [-1361.637] (-1368.796) -- 0:02:45
425000 -- (-1360.201) [-1351.186] (-1357.763) (-1357.853) * (-1359.385) (-1371.122) (-1370.385) [-1359.270] -- 0:02:45
Average standard deviation of split frequencies: 0.008168
426000 -- (-1366.024) (-1356.758) (-1365.265) [-1358.066] * (-1361.167) [-1362.827] (-1361.995) (-1376.207) -- 0:02:45
427000 -- (-1378.562) (-1358.228) (-1361.196) [-1366.605] * (-1356.476) (-1357.058) [-1357.161] (-1365.782) -- 0:02:45
428000 -- (-1357.409) (-1360.258) (-1363.165) [-1365.548] * [-1365.850] (-1358.881) (-1363.045) (-1367.241) -- 0:02:44
429000 -- [-1357.514] (-1364.282) (-1364.652) (-1361.425) * (-1364.703) [-1365.155] (-1361.744) (-1362.488) -- 0:02:45
430000 -- [-1355.438] (-1367.352) (-1363.138) (-1364.250) * (-1368.584) (-1359.049) (-1363.982) [-1362.173] -- 0:02:44
Average standard deviation of split frequencies: 0.008027
431000 -- (-1356.104) [-1367.875] (-1359.039) (-1358.699) * [-1356.460] (-1362.820) (-1356.829) (-1364.554) -- 0:02:43
432000 -- [-1357.033] (-1365.967) (-1362.073) (-1359.701) * (-1364.182) [-1359.032] (-1362.547) (-1365.005) -- 0:02:43
433000 -- (-1366.931) (-1360.697) [-1365.317] (-1365.076) * (-1364.263) (-1360.341) [-1357.347] (-1364.301) -- 0:02:43
434000 -- (-1364.718) (-1360.994) [-1360.671] (-1362.637) * [-1368.618] (-1354.587) (-1369.839) (-1366.390) -- 0:02:43
435000 -- (-1356.286) (-1362.905) (-1363.916) [-1362.557] * (-1363.574) (-1353.738) (-1358.305) [-1362.473] -- 0:02:42
Average standard deviation of split frequencies: 0.007774
436000 -- (-1360.508) (-1368.782) [-1360.454] (-1367.761) * (-1370.907) (-1369.083) [-1360.189] (-1359.364) -- 0:02:42
437000 -- (-1360.827) (-1366.912) (-1358.791) [-1359.673] * (-1369.496) (-1367.312) [-1356.960] (-1363.041) -- 0:02:42
438000 -- (-1363.025) [-1359.663] (-1367.734) (-1357.398) * (-1357.648) (-1366.637) [-1363.503] (-1363.205) -- 0:02:41
439000 -- (-1368.138) (-1355.614) [-1357.515] (-1372.116) * (-1362.671) (-1361.977) [-1361.625] (-1359.711) -- 0:02:41
440000 -- (-1367.641) (-1361.554) (-1360.045) [-1358.359] * (-1353.270) [-1368.978] (-1366.699) (-1368.112) -- 0:02:41
Average standard deviation of split frequencies: 0.008100
441000 -- [-1357.524] (-1363.875) (-1367.505) (-1368.443) * (-1369.551) (-1366.173) [-1372.384] (-1368.648) -- 0:02:40
442000 -- (-1361.003) (-1360.061) [-1361.223] (-1370.336) * (-1361.317) (-1370.229) [-1365.167] (-1367.399) -- 0:02:40
443000 -- (-1357.079) (-1371.629) (-1365.199) [-1357.753] * [-1365.560] (-1373.258) (-1361.184) (-1358.364) -- 0:02:40
444000 -- (-1359.326) [-1365.669] (-1369.424) (-1369.347) * (-1360.006) (-1372.677) (-1355.964) [-1361.383] -- 0:02:40
445000 -- (-1364.809) [-1362.847] (-1377.186) (-1355.087) * (-1373.346) (-1361.751) (-1365.445) [-1361.645] -- 0:02:39
Average standard deviation of split frequencies: 0.008408
446000 -- [-1362.441] (-1364.619) (-1374.671) (-1359.776) * [-1356.609] (-1366.361) (-1365.109) (-1352.904) -- 0:02:38
447000 -- (-1359.271) (-1358.568) (-1371.953) [-1358.279] * [-1367.306] (-1368.409) (-1367.305) (-1361.676) -- 0:02:39
448000 -- (-1364.495) (-1356.639) (-1371.447) [-1358.781] * (-1362.014) (-1367.640) [-1364.267] (-1364.193) -- 0:02:38
449000 -- (-1360.085) (-1373.091) (-1355.694) [-1359.976] * [-1355.526] (-1369.246) (-1366.934) (-1358.225) -- 0:02:38
450000 -- (-1362.053) (-1361.864) (-1361.286) [-1354.262] * (-1363.491) (-1365.256) [-1361.144] (-1362.996) -- 0:02:38
Average standard deviation of split frequencies: 0.007798
451000 -- (-1364.010) (-1362.830) [-1363.678] (-1366.245) * (-1367.284) [-1356.126] (-1372.299) (-1364.807) -- 0:02:38
452000 -- (-1363.730) [-1363.819] (-1374.877) (-1360.894) * (-1362.087) [-1366.571] (-1363.969) (-1364.034) -- 0:02:37
453000 -- (-1367.355) [-1367.795] (-1376.626) (-1360.884) * (-1364.720) [-1360.083] (-1367.770) (-1361.070) -- 0:02:36
454000 -- [-1367.202] (-1360.255) (-1361.524) (-1367.998) * (-1372.379) [-1360.257] (-1360.194) (-1370.986) -- 0:02:37
455000 -- (-1362.778) [-1358.554] (-1368.085) (-1365.109) * [-1361.168] (-1364.486) (-1367.427) (-1364.491) -- 0:02:36
Average standard deviation of split frequencies: 0.008317
456000 -- [-1358.539] (-1362.542) (-1359.595) (-1359.161) * (-1360.466) (-1362.967) (-1366.627) [-1360.462] -- 0:02:36
457000 -- (-1356.152) (-1372.482) (-1364.680) [-1362.343] * (-1365.894) (-1357.081) (-1363.557) [-1359.723] -- 0:02:36
458000 -- (-1362.872) (-1370.326) (-1365.805) [-1369.268] * (-1366.728) (-1360.331) (-1363.232) [-1355.292] -- 0:02:36
459000 -- (-1360.083) (-1352.607) [-1357.221] (-1367.895) * [-1359.925] (-1371.648) (-1361.499) (-1364.450) -- 0:02:35
460000 -- (-1361.556) [-1360.662] (-1359.779) (-1356.588) * (-1367.491) (-1365.759) [-1366.003] (-1366.306) -- 0:02:34
Average standard deviation of split frequencies: 0.007954
461000 -- (-1365.256) (-1372.716) (-1366.205) [-1360.517] * [-1353.388] (-1355.535) (-1363.303) (-1361.218) -- 0:02:35
462000 -- (-1362.977) (-1361.079) [-1354.653] (-1364.079) * (-1363.519) [-1364.673] (-1360.030) (-1368.894) -- 0:02:34
463000 -- [-1363.566] (-1363.910) (-1373.517) (-1367.235) * (-1361.721) [-1362.227] (-1358.098) (-1366.087) -- 0:02:34
464000 -- (-1363.620) (-1357.453) (-1361.482) [-1364.650] * (-1358.059) (-1370.153) [-1355.871] (-1358.886) -- 0:02:34
465000 -- [-1360.215] (-1362.570) (-1369.706) (-1365.128) * [-1357.760] (-1360.611) (-1362.342) (-1354.267) -- 0:02:34
Average standard deviation of split frequencies: 0.006773
466000 -- (-1359.322) (-1361.378) [-1363.119] (-1358.077) * (-1372.595) (-1360.881) [-1358.925] (-1362.855) -- 0:02:33
467000 -- [-1354.494] (-1361.579) (-1361.443) (-1360.405) * (-1361.707) [-1356.700] (-1375.154) (-1363.213) -- 0:02:32
468000 -- (-1363.344) [-1362.250] (-1359.899) (-1366.632) * [-1367.055] (-1358.744) (-1374.279) (-1366.546) -- 0:02:33
469000 -- (-1357.930) (-1369.838) (-1358.810) [-1367.033] * (-1361.530) (-1361.186) (-1370.544) [-1356.587] -- 0:02:32
470000 -- (-1361.282) (-1364.155) (-1359.585) [-1363.163] * (-1363.891) (-1362.861) (-1370.523) [-1360.059] -- 0:02:32
Average standard deviation of split frequencies: 0.007193
471000 -- [-1358.409] (-1365.451) (-1364.392) (-1359.565) * (-1355.994) [-1355.417] (-1360.118) (-1369.040) -- 0:02:32
472000 -- (-1360.689) (-1360.170) [-1361.639] (-1367.912) * (-1360.666) (-1367.875) (-1361.139) [-1359.884] -- 0:02:32
473000 -- (-1364.295) [-1357.599] (-1364.331) (-1369.954) * (-1366.238) [-1360.682] (-1365.956) (-1360.878) -- 0:02:31
474000 -- (-1370.019) [-1355.948] (-1361.622) (-1356.655) * [-1367.054] (-1367.214) (-1367.861) (-1367.653) -- 0:02:30
475000 -- [-1356.610] (-1360.588) (-1362.496) (-1362.071) * (-1361.027) [-1352.844] (-1375.764) (-1357.518) -- 0:02:31
Average standard deviation of split frequencies: 0.007518
476000 -- (-1365.728) (-1363.816) [-1361.510] (-1359.198) * [-1359.918] (-1359.679) (-1365.112) (-1361.269) -- 0:02:30
477000 -- (-1368.169) (-1360.952) [-1361.950] (-1362.145) * (-1373.419) [-1362.521] (-1356.132) (-1360.997) -- 0:02:30
478000 -- (-1357.333) [-1362.217] (-1360.162) (-1360.531) * (-1362.954) (-1365.161) [-1357.689] (-1364.161) -- 0:02:30
479000 -- (-1361.522) (-1371.430) [-1360.903] (-1363.314) * (-1373.723) (-1375.164) [-1365.773] (-1356.534) -- 0:02:30
480000 -- (-1370.155) (-1359.833) [-1359.203] (-1361.145) * (-1365.050) [-1367.104] (-1359.297) (-1363.154) -- 0:02:29
Average standard deviation of split frequencies: 0.007088
481000 -- [-1361.888] (-1366.159) (-1358.836) (-1359.667) * (-1366.168) [-1365.258] (-1361.605) (-1368.075) -- 0:02:28
482000 -- [-1366.641] (-1372.451) (-1372.338) (-1365.849) * (-1372.594) (-1365.066) [-1363.348] (-1357.095) -- 0:02:29
483000 -- (-1356.966) [-1358.357] (-1365.210) (-1363.305) * (-1366.127) (-1361.657) [-1359.155] (-1360.413) -- 0:02:28
484000 -- (-1357.522) (-1370.997) [-1368.711] (-1365.359) * [-1360.270] (-1362.053) (-1370.536) (-1364.769) -- 0:02:28
485000 -- [-1355.637] (-1362.159) (-1366.364) (-1361.823) * (-1359.021) (-1362.729) (-1360.724) [-1360.596] -- 0:02:28
Average standard deviation of split frequencies: 0.006705
486000 -- [-1361.865] (-1362.636) (-1358.340) (-1356.940) * [-1365.846] (-1375.575) (-1355.936) (-1362.597) -- 0:02:28
487000 -- [-1358.218] (-1363.640) (-1364.095) (-1361.113) * [-1353.880] (-1361.979) (-1370.378) (-1361.204) -- 0:02:27
488000 -- (-1365.834) (-1361.847) (-1360.750) [-1365.078] * (-1364.904) (-1361.584) [-1363.096] (-1361.582) -- 0:02:26
489000 -- (-1365.272) [-1362.806] (-1362.747) (-1359.357) * (-1362.397) [-1355.551] (-1363.001) (-1359.615) -- 0:02:27
490000 -- [-1361.142] (-1367.537) (-1363.585) (-1366.011) * (-1354.694) [-1359.376] (-1366.184) (-1359.060) -- 0:02:26
Average standard deviation of split frequencies: 0.007566
491000 -- [-1363.856] (-1368.863) (-1358.482) (-1362.698) * (-1361.058) (-1363.691) [-1362.659] (-1360.408) -- 0:02:26
492000 -- (-1366.355) (-1365.625) [-1364.439] (-1362.877) * (-1361.174) [-1355.484] (-1360.925) (-1353.608) -- 0:02:26
493000 -- (-1357.593) [-1351.946] (-1362.202) (-1374.099) * [-1361.319] (-1363.970) (-1367.757) (-1356.414) -- 0:02:26
494000 -- [-1363.199] (-1365.385) (-1356.938) (-1370.421) * (-1364.944) (-1369.388) (-1363.391) [-1361.802] -- 0:02:25
495000 -- (-1361.866) (-1359.075) [-1364.782] (-1371.395) * (-1375.936) (-1361.511) (-1369.496) [-1357.760] -- 0:02:24
Average standard deviation of split frequencies: 0.007920
496000 -- (-1368.246) [-1365.698] (-1356.239) (-1366.147) * (-1365.110) [-1358.979] (-1360.786) (-1356.619) -- 0:02:25
497000 -- [-1363.415] (-1365.829) (-1356.600) (-1363.358) * (-1360.220) (-1363.853) [-1359.900] (-1355.579) -- 0:02:24
498000 -- (-1366.605) (-1356.807) (-1361.397) [-1362.453] * (-1360.787) (-1366.166) (-1368.194) [-1364.933] -- 0:02:24
499000 -- [-1365.524] (-1357.313) (-1366.166) (-1361.289) * (-1359.547) (-1364.051) [-1358.736] (-1361.060) -- 0:02:24
500000 -- [-1355.252] (-1364.836) (-1365.621) (-1362.912) * (-1369.267) [-1361.188] (-1368.704) (-1361.278) -- 0:02:24
Average standard deviation of split frequencies: 0.008199
501000 -- (-1366.010) [-1365.692] (-1363.282) (-1357.875) * (-1370.242) (-1357.583) [-1360.504] (-1367.049) -- 0:02:23
502000 -- (-1363.005) (-1362.117) [-1357.574] (-1384.487) * (-1365.582) [-1361.266] (-1356.548) (-1371.764) -- 0:02:22
503000 -- (-1364.629) (-1365.491) [-1354.507] (-1359.262) * (-1373.308) [-1360.154] (-1363.019) (-1362.008) -- 0:02:23
504000 -- (-1364.998) [-1367.504] (-1361.752) (-1375.091) * [-1357.455] (-1361.888) (-1363.458) (-1365.878) -- 0:02:22
505000 -- [-1369.301] (-1355.479) (-1372.131) (-1361.795) * (-1359.675) (-1359.907) (-1372.659) [-1362.816] -- 0:02:22
Average standard deviation of split frequencies: 0.008035
506000 -- (-1369.318) [-1367.582] (-1361.057) (-1362.563) * [-1360.758] (-1362.997) (-1365.925) (-1361.922) -- 0:02:22
507000 -- (-1356.984) (-1369.477) [-1361.930] (-1362.486) * (-1367.128) (-1364.149) (-1375.899) [-1359.754] -- 0:02:21
508000 -- (-1372.388) [-1352.471] (-1366.901) (-1370.090) * (-1362.320) (-1363.141) (-1366.435) [-1358.013] -- 0:02:21
509000 -- (-1365.298) [-1360.090] (-1361.555) (-1359.491) * (-1358.628) (-1362.172) (-1359.993) [-1364.259] -- 0:02:20
510000 -- [-1369.296] (-1369.408) (-1354.656) (-1364.868) * (-1357.944) (-1367.977) [-1357.135] (-1362.890) -- 0:02:21
Average standard deviation of split frequencies: 0.008116
511000 -- (-1368.886) (-1368.469) [-1364.002] (-1365.519) * (-1354.292) [-1362.319] (-1365.945) (-1368.402) -- 0:02:20
512000 -- (-1366.679) [-1357.793] (-1374.107) (-1369.911) * (-1360.134) [-1364.751] (-1381.181) (-1369.801) -- 0:02:20
513000 -- (-1370.933) (-1364.719) (-1362.916) [-1355.093] * (-1356.284) [-1353.671] (-1365.094) (-1370.619) -- 0:02:20
514000 -- (-1365.292) (-1364.244) [-1358.550] (-1361.480) * (-1366.488) (-1362.505) (-1378.021) [-1361.109] -- 0:02:19
515000 -- (-1366.783) [-1369.723] (-1367.522) (-1367.069) * (-1362.417) (-1369.405) (-1362.523) [-1372.705] -- 0:02:19
Average standard deviation of split frequencies: 0.008374
516000 -- (-1364.826) [-1362.540] (-1359.641) (-1354.247) * (-1372.666) (-1367.531) [-1353.631] (-1363.381) -- 0:02:18
517000 -- [-1360.615] (-1362.258) (-1375.445) (-1372.127) * [-1362.157] (-1362.940) (-1360.435) (-1369.658) -- 0:02:19
518000 -- [-1356.619] (-1361.345) (-1372.175) (-1368.734) * (-1363.406) [-1357.283] (-1363.036) (-1382.338) -- 0:02:18
519000 -- [-1364.982] (-1357.388) (-1367.909) (-1359.038) * [-1361.148] (-1356.925) (-1368.606) (-1354.858) -- 0:02:18
520000 -- [-1360.638] (-1370.061) (-1364.496) (-1358.270) * (-1362.612) (-1360.817) [-1364.203] (-1356.106) -- 0:02:18
Average standard deviation of split frequencies: 0.008413
521000 -- (-1362.623) (-1359.090) (-1362.940) [-1362.905] * [-1354.716] (-1361.236) (-1366.784) (-1376.058) -- 0:02:17
522000 -- [-1356.440] (-1366.715) (-1363.663) (-1360.392) * (-1365.313) (-1364.538) [-1370.833] (-1369.439) -- 0:02:17
523000 -- [-1367.687] (-1370.747) (-1369.309) (-1364.680) * [-1360.567] (-1362.814) (-1370.575) (-1362.810) -- 0:02:16
524000 -- (-1364.327) (-1368.687) (-1360.485) [-1365.497] * (-1360.090) (-1360.222) (-1370.806) [-1362.575] -- 0:02:17
525000 -- (-1364.832) (-1360.454) [-1357.662] (-1366.494) * [-1351.629] (-1362.875) (-1360.380) (-1365.247) -- 0:02:16
Average standard deviation of split frequencies: 0.008402
526000 -- (-1363.309) (-1369.467) [-1353.896] (-1360.718) * [-1353.500] (-1362.549) (-1362.835) (-1373.948) -- 0:02:16
527000 -- (-1366.334) [-1360.552] (-1361.584) (-1364.597) * (-1356.161) [-1359.874] (-1367.362) (-1362.569) -- 0:02:16
528000 -- [-1370.618] (-1359.692) (-1359.795) (-1363.531) * [-1365.199] (-1356.423) (-1362.428) (-1368.741) -- 0:02:15
529000 -- (-1374.587) [-1356.212] (-1371.950) (-1359.917) * [-1355.734] (-1360.065) (-1366.492) (-1376.606) -- 0:02:15
530000 -- (-1363.312) [-1360.674] (-1358.024) (-1360.661) * (-1356.688) (-1361.888) [-1359.462] (-1362.599) -- 0:02:14
Average standard deviation of split frequencies: 0.008217
531000 -- (-1358.711) (-1358.467) (-1365.606) [-1359.169] * (-1358.015) (-1357.794) (-1368.725) [-1357.801] -- 0:02:15
532000 -- (-1368.130) (-1364.717) (-1370.524) [-1364.767] * [-1361.480] (-1374.501) (-1362.820) (-1357.136) -- 0:02:14
533000 -- [-1367.248] (-1367.515) (-1361.972) (-1360.800) * (-1368.605) (-1355.719) [-1355.760] (-1357.632) -- 0:02:14
534000 -- (-1360.768) (-1357.671) [-1361.656] (-1360.864) * (-1363.412) [-1356.869] (-1368.942) (-1363.911) -- 0:02:14
535000 -- [-1359.392] (-1362.735) (-1372.734) (-1359.152) * (-1358.765) (-1355.603) [-1367.786] (-1363.176) -- 0:02:13
Average standard deviation of split frequencies: 0.008062
536000 -- (-1365.282) [-1361.587] (-1356.341) (-1364.778) * (-1359.252) (-1361.501) [-1364.699] (-1366.239) -- 0:02:13
537000 -- (-1361.411) (-1368.855) [-1370.448] (-1361.823) * [-1358.338] (-1363.885) (-1365.676) (-1371.902) -- 0:02:12
538000 -- (-1353.937) (-1360.185) [-1366.700] (-1360.870) * (-1367.660) (-1365.535) (-1360.852) [-1360.720] -- 0:02:13
539000 -- [-1356.744] (-1366.844) (-1366.229) (-1361.888) * (-1367.489) (-1370.169) [-1357.200] (-1363.861) -- 0:02:12
540000 -- (-1367.797) (-1365.390) (-1362.305) [-1360.593] * (-1364.227) [-1360.011] (-1362.602) (-1365.932) -- 0:02:12
Average standard deviation of split frequencies: 0.008101
541000 -- (-1377.981) [-1368.456] (-1361.070) (-1362.058) * [-1358.931] (-1356.520) (-1366.459) (-1367.733) -- 0:02:12
542000 -- (-1372.554) [-1363.276] (-1376.395) (-1355.551) * (-1363.918) (-1360.708) (-1361.212) [-1357.231] -- 0:02:11
543000 -- (-1361.416) [-1354.941] (-1372.334) (-1358.316) * [-1357.821] (-1365.642) (-1364.217) (-1371.870) -- 0:02:11
544000 -- [-1363.215] (-1364.128) (-1358.767) (-1365.064) * (-1357.846) [-1361.657] (-1368.143) (-1363.903) -- 0:02:10
545000 -- (-1364.233) (-1355.688) (-1363.421) [-1356.259] * (-1360.555) (-1357.908) (-1372.603) [-1358.126] -- 0:02:11
Average standard deviation of split frequencies: 0.008310
546000 -- [-1363.018] (-1367.406) (-1371.890) (-1362.932) * (-1362.972) [-1362.768] (-1362.854) (-1358.409) -- 0:02:10
547000 -- (-1367.812) [-1363.540] (-1358.007) (-1365.844) * (-1356.969) (-1372.654) [-1356.806] (-1360.772) -- 0:02:10
548000 -- [-1361.687] (-1381.097) (-1361.266) (-1355.733) * [-1362.242] (-1361.341) (-1365.796) (-1356.986) -- 0:02:10
549000 -- (-1375.988) (-1372.642) (-1361.898) [-1359.120] * (-1366.780) (-1359.252) (-1368.325) [-1360.258] -- 0:02:09
550000 -- (-1369.866) (-1361.613) [-1363.490] (-1358.977) * [-1367.012] (-1372.543) (-1371.483) (-1367.108) -- 0:02:09
Average standard deviation of split frequencies: 0.008454
551000 -- (-1361.192) [-1359.297] (-1361.602) (-1373.598) * (-1363.777) (-1368.126) (-1355.652) [-1365.507] -- 0:02:09
552000 -- (-1372.402) (-1360.047) (-1372.346) [-1356.099] * (-1371.824) (-1370.179) [-1358.874] (-1365.249) -- 0:02:09
553000 -- (-1359.418) (-1361.714) [-1361.337] (-1360.810) * (-1363.630) (-1361.890) (-1368.872) [-1357.654] -- 0:02:08
554000 -- (-1372.053) (-1366.212) [-1354.591] (-1370.278) * (-1365.674) (-1361.185) [-1354.332] (-1367.677) -- 0:02:08
555000 -- (-1380.735) [-1370.612] (-1377.020) (-1365.527) * [-1363.145] (-1360.504) (-1367.267) (-1361.785) -- 0:02:08
Average standard deviation of split frequencies: 0.008478
556000 -- [-1364.546] (-1368.523) (-1370.524) (-1358.085) * [-1356.851] (-1362.889) (-1356.136) (-1368.090) -- 0:02:07
557000 -- [-1367.340] (-1360.911) (-1376.845) (-1362.559) * [-1361.456] (-1363.554) (-1366.666) (-1357.845) -- 0:02:07
558000 -- (-1372.177) [-1362.817] (-1367.120) (-1365.825) * (-1358.888) [-1363.293] (-1361.722) (-1360.773) -- 0:02:07
559000 -- (-1366.367) (-1359.692) (-1360.323) [-1361.095] * [-1359.932] (-1364.750) (-1368.946) (-1369.616) -- 0:02:07
560000 -- (-1365.628) (-1354.823) (-1357.866) [-1361.244] * [-1353.748] (-1363.467) (-1357.455) (-1373.195) -- 0:02:06
Average standard deviation of split frequencies: 0.008618
561000 -- (-1360.674) (-1358.715) (-1364.288) [-1364.644] * (-1367.671) (-1358.299) [-1362.140] (-1372.223) -- 0:02:06
562000 -- (-1366.234) (-1369.811) [-1358.508] (-1366.993) * [-1357.801] (-1363.204) (-1363.192) (-1367.855) -- 0:02:06
563000 -- (-1363.503) [-1359.622] (-1366.930) (-1373.500) * (-1355.180) (-1355.834) [-1360.022] (-1357.470) -- 0:02:05
564000 -- (-1367.405) [-1364.312] (-1371.806) (-1357.332) * [-1365.510] (-1374.190) (-1365.720) (-1363.385) -- 0:02:05
565000 -- (-1361.187) (-1363.060) (-1363.101) [-1358.099] * (-1360.779) (-1360.744) (-1361.852) [-1372.337] -- 0:02:05
Average standard deviation of split frequencies: 0.008849
566000 -- (-1360.147) (-1361.517) (-1369.833) [-1359.660] * (-1360.878) (-1361.378) [-1362.027] (-1369.160) -- 0:02:04
567000 -- (-1368.019) (-1367.618) [-1366.498] (-1362.276) * (-1363.641) [-1356.509] (-1368.437) (-1366.355) -- 0:02:04
568000 -- [-1366.921] (-1365.400) (-1368.416) (-1368.243) * (-1371.515) [-1362.321] (-1362.282) (-1362.522) -- 0:02:04
569000 -- (-1363.823) [-1358.615] (-1367.152) (-1368.854) * (-1371.811) [-1358.801] (-1363.298) (-1367.225) -- 0:02:04
570000 -- (-1359.385) (-1362.924) (-1359.645) [-1363.053] * (-1364.876) [-1362.262] (-1362.887) (-1366.443) -- 0:02:03
Average standard deviation of split frequencies: 0.008536
571000 -- (-1370.515) [-1357.165] (-1367.357) (-1367.470) * (-1366.956) (-1363.466) (-1359.715) [-1360.317] -- 0:02:03
572000 -- (-1375.458) [-1359.730] (-1362.745) (-1360.179) * (-1362.769) (-1364.431) (-1380.802) [-1355.263] -- 0:02:03
573000 -- (-1367.758) (-1358.068) (-1356.361) [-1362.104] * (-1369.900) [-1357.767] (-1363.384) (-1355.207) -- 0:02:02
574000 -- (-1361.425) (-1363.723) (-1365.612) [-1371.714] * (-1356.805) [-1357.937] (-1362.112) (-1361.785) -- 0:02:02
575000 -- [-1364.591] (-1359.175) (-1355.003) (-1354.732) * (-1375.017) [-1362.877] (-1356.258) (-1357.006) -- 0:02:02
Average standard deviation of split frequencies: 0.008798
576000 -- (-1357.783) [-1361.280] (-1358.278) (-1360.444) * [-1364.651] (-1356.772) (-1363.154) (-1363.171) -- 0:02:02
577000 -- (-1359.855) (-1359.533) (-1361.401) [-1363.474] * (-1360.715) (-1357.611) [-1362.023] (-1360.297) -- 0:02:01
578000 -- (-1371.730) [-1360.771] (-1363.376) (-1363.893) * [-1359.116] (-1361.401) (-1358.932) (-1374.961) -- 0:02:01
579000 -- [-1370.540] (-1356.938) (-1362.436) (-1359.580) * (-1363.473) (-1368.948) (-1362.044) [-1366.507] -- 0:02:01
580000 -- (-1360.875) (-1377.801) [-1359.667] (-1359.573) * (-1366.071) (-1371.389) (-1362.198) [-1372.280] -- 0:02:00
Average standard deviation of split frequencies: 0.008863
581000 -- (-1367.210) (-1364.232) (-1368.217) [-1363.570] * (-1356.558) (-1368.354) [-1359.119] (-1369.813) -- 0:02:00
582000 -- (-1363.606) [-1361.133] (-1359.142) (-1361.724) * [-1362.092] (-1362.589) (-1365.757) (-1361.246) -- 0:02:00
583000 -- (-1361.141) [-1360.580] (-1365.286) (-1360.537) * [-1353.679] (-1360.849) (-1360.601) (-1362.104) -- 0:02:00
584000 -- (-1359.186) (-1361.452) [-1365.671] (-1373.781) * (-1362.111) (-1362.992) [-1362.084] (-1368.769) -- 0:01:59
585000 -- (-1361.271) (-1371.812) [-1355.994] (-1363.409) * [-1357.685] (-1357.176) (-1362.278) (-1357.672) -- 0:01:59
Average standard deviation of split frequencies: 0.008480
586000 -- (-1357.742) (-1366.286) (-1355.930) [-1359.521] * (-1361.241) (-1366.768) (-1362.310) [-1353.853] -- 0:01:59
587000 -- (-1365.925) (-1368.979) [-1358.368] (-1371.071) * (-1359.020) (-1369.097) (-1360.332) [-1355.594] -- 0:01:58
588000 -- (-1367.457) (-1367.226) [-1359.469] (-1357.114) * (-1363.502) (-1372.501) (-1366.124) [-1364.645] -- 0:01:59
589000 -- (-1373.545) (-1366.162) (-1367.042) [-1364.865] * (-1375.301) (-1366.132) (-1362.278) [-1357.411] -- 0:01:58
590000 -- (-1364.934) [-1365.273] (-1367.180) (-1364.245) * (-1360.646) (-1366.983) (-1359.226) [-1362.809] -- 0:01:58
Average standard deviation of split frequencies: 0.009091
591000 -- (-1364.740) [-1370.861] (-1365.120) (-1359.602) * [-1362.651] (-1365.814) (-1359.402) (-1359.858) -- 0:01:57
592000 -- [-1365.475] (-1361.454) (-1364.431) (-1362.403) * (-1355.937) [-1364.478] (-1356.709) (-1359.133) -- 0:01:57
593000 -- (-1360.416) (-1359.584) [-1364.510] (-1360.550) * (-1359.942) (-1363.593) [-1364.060] (-1370.552) -- 0:01:57
594000 -- (-1358.998) [-1360.174] (-1369.396) (-1369.085) * [-1358.437] (-1369.477) (-1358.283) (-1370.489) -- 0:01:56
595000 -- (-1371.644) (-1359.826) (-1357.930) [-1356.976] * [-1358.789] (-1360.247) (-1368.542) (-1362.532) -- 0:01:57
Average standard deviation of split frequencies: 0.008635
596000 -- (-1365.707) (-1362.880) [-1360.198] (-1368.956) * [-1365.895] (-1359.190) (-1365.078) (-1373.766) -- 0:01:56
597000 -- (-1371.067) (-1357.748) (-1371.706) [-1357.137] * (-1366.124) (-1363.648) (-1363.803) [-1362.145] -- 0:01:56
598000 -- [-1355.030] (-1367.274) (-1369.166) (-1364.929) * (-1361.052) [-1361.112] (-1363.067) (-1368.952) -- 0:01:56
599000 -- (-1367.215) (-1362.232) [-1354.210] (-1360.179) * (-1379.076) (-1363.495) (-1363.664) [-1362.167] -- 0:01:55
600000 -- (-1374.410) (-1365.687) [-1362.494] (-1363.987) * (-1378.953) (-1358.871) (-1370.062) [-1361.281] -- 0:01:55
Average standard deviation of split frequencies: 0.008428
601000 -- [-1353.344] (-1367.621) (-1357.615) (-1359.768) * (-1378.493) [-1361.926] (-1367.706) (-1374.188) -- 0:01:54
602000 -- (-1363.568) (-1362.996) [-1358.919] (-1370.292) * (-1371.437) (-1362.062) (-1365.965) [-1363.386] -- 0:01:55
603000 -- (-1363.650) (-1367.146) (-1359.688) [-1358.140] * (-1364.590) [-1359.686] (-1367.374) (-1359.360) -- 0:01:54
604000 -- (-1362.547) (-1362.771) [-1366.040] (-1360.477) * (-1363.073) [-1359.409] (-1367.559) (-1364.635) -- 0:01:54
605000 -- [-1363.138] (-1357.345) (-1364.301) (-1358.661) * (-1366.070) (-1359.690) (-1357.902) [-1356.006] -- 0:01:54
Average standard deviation of split frequencies: 0.007909
606000 -- (-1355.824) (-1358.816) (-1362.157) [-1359.355] * (-1361.313) [-1358.391] (-1360.959) (-1359.404) -- 0:01:53
607000 -- (-1359.966) (-1368.912) [-1357.575] (-1362.353) * [-1359.578] (-1357.692) (-1362.877) (-1364.934) -- 0:01:53
608000 -- (-1372.160) [-1359.488] (-1354.412) (-1360.971) * (-1357.129) [-1364.147] (-1368.867) (-1368.277) -- 0:01:53
609000 -- (-1359.428) (-1356.996) (-1371.057) [-1372.696] * [-1369.495] (-1370.877) (-1369.186) (-1362.544) -- 0:01:52
610000 -- (-1363.628) (-1363.532) (-1357.557) [-1364.640] * [-1360.388] (-1368.341) (-1364.132) (-1369.127) -- 0:01:52
Average standard deviation of split frequencies: 0.007912
611000 -- [-1364.271] (-1366.517) (-1372.918) (-1365.715) * (-1369.329) [-1361.657] (-1363.256) (-1372.787) -- 0:01:52
612000 -- (-1357.504) (-1357.212) [-1365.515] (-1368.806) * [-1362.101] (-1370.629) (-1363.974) (-1363.258) -- 0:01:52
613000 -- [-1360.746] (-1364.144) (-1364.631) (-1358.113) * (-1370.625) [-1355.546] (-1365.862) (-1374.623) -- 0:01:51
614000 -- (-1365.437) (-1361.755) (-1369.295) [-1361.223] * (-1365.208) (-1358.101) [-1367.580] (-1359.480) -- 0:01:51
615000 -- [-1356.618] (-1367.029) (-1374.762) (-1363.538) * [-1362.312] (-1372.628) (-1359.448) (-1367.052) -- 0:01:51
Average standard deviation of split frequencies: 0.007886
616000 -- (-1356.381) (-1363.464) (-1369.342) [-1365.745] * (-1363.343) (-1367.355) [-1354.209] (-1365.900) -- 0:01:50
617000 -- (-1369.480) (-1363.101) (-1364.910) [-1366.354] * (-1360.506) (-1367.519) (-1363.440) [-1366.132] -- 0:01:50
618000 -- (-1365.280) (-1370.164) (-1363.612) [-1366.347] * [-1362.198] (-1371.649) (-1370.514) (-1366.840) -- 0:01:50
619000 -- (-1366.629) (-1369.049) [-1362.086] (-1363.480) * [-1356.198] (-1375.790) (-1361.378) (-1364.871) -- 0:01:50
620000 -- [-1359.814] (-1355.667) (-1357.228) (-1371.343) * [-1356.747] (-1361.711) (-1366.360) (-1365.451) -- 0:01:49
Average standard deviation of split frequencies: 0.008090
621000 -- (-1362.528) [-1367.726] (-1365.156) (-1363.095) * (-1374.877) (-1355.679) (-1368.732) [-1362.015] -- 0:01:49
622000 -- (-1357.490) (-1361.797) (-1357.115) [-1356.204] * (-1367.959) [-1361.115] (-1366.353) (-1365.748) -- 0:01:49
623000 -- [-1362.785] (-1361.610) (-1365.150) (-1363.450) * (-1370.852) (-1368.927) [-1353.269] (-1359.255) -- 0:01:48
624000 -- (-1360.021) [-1365.052] (-1366.812) (-1375.378) * (-1366.926) (-1364.890) [-1358.427] (-1361.483) -- 0:01:48
625000 -- (-1365.412) (-1363.290) (-1364.276) [-1360.781] * (-1370.963) (-1357.958) (-1360.503) [-1359.436] -- 0:01:48
Average standard deviation of split frequencies: 0.007499
626000 -- [-1359.222] (-1366.818) (-1366.019) (-1364.835) * [-1363.242] (-1361.240) (-1360.894) (-1372.678) -- 0:01:48
627000 -- (-1365.407) (-1373.373) (-1361.476) [-1362.251] * (-1359.761) (-1365.940) (-1360.897) [-1363.068] -- 0:01:47
628000 -- [-1361.448] (-1366.348) (-1364.866) (-1365.413) * [-1357.181] (-1361.092) (-1359.179) (-1356.425) -- 0:01:47
629000 -- [-1358.454] (-1359.701) (-1365.968) (-1363.257) * (-1375.253) (-1364.604) [-1358.864] (-1360.656) -- 0:01:47
630000 -- (-1367.454) [-1371.665] (-1364.989) (-1367.205) * (-1356.150) (-1362.123) (-1363.276) [-1365.037] -- 0:01:46
Average standard deviation of split frequencies: 0.008066
631000 -- (-1358.772) (-1357.286) [-1363.000] (-1368.222) * [-1359.202] (-1375.332) (-1363.412) (-1365.753) -- 0:01:46
632000 -- (-1369.750) (-1357.550) (-1357.156) [-1363.560] * (-1364.220) [-1358.043] (-1363.224) (-1363.998) -- 0:01:45
633000 -- (-1359.113) [-1362.571] (-1369.918) (-1363.188) * (-1364.903) (-1359.203) [-1358.559] (-1374.464) -- 0:01:46
634000 -- (-1362.603) (-1358.431) (-1372.165) [-1368.136] * (-1362.700) (-1371.085) [-1356.694] (-1364.365) -- 0:01:45
635000 -- [-1361.042] (-1367.868) (-1370.097) (-1369.251) * (-1358.399) (-1362.399) [-1365.954] (-1365.476) -- 0:01:45
Average standard deviation of split frequencies: 0.008091
636000 -- (-1358.358) (-1372.979) (-1366.858) [-1368.793] * (-1371.422) (-1359.142) (-1375.170) [-1363.023] -- 0:01:45
637000 -- (-1360.267) (-1363.412) (-1366.127) [-1361.885] * (-1375.643) (-1364.531) (-1370.755) [-1357.197] -- 0:01:44
638000 -- [-1356.548] (-1366.608) (-1370.568) (-1360.738) * (-1361.550) (-1367.564) [-1357.527] (-1363.896) -- 0:01:44
639000 -- (-1356.947) (-1363.510) [-1361.907] (-1361.341) * [-1378.244] (-1358.839) (-1361.031) (-1367.211) -- 0:01:43
640000 -- (-1356.718) [-1355.591] (-1364.120) (-1361.222) * (-1359.908) [-1362.719] (-1353.195) (-1366.472) -- 0:01:44
Average standard deviation of split frequencies: 0.008033
641000 -- (-1359.873) (-1357.719) [-1362.218] (-1363.717) * (-1357.839) [-1360.647] (-1367.089) (-1362.678) -- 0:01:43
642000 -- (-1357.776) (-1363.111) (-1359.607) [-1359.573] * (-1362.767) (-1367.323) (-1363.252) [-1358.241] -- 0:01:43
643000 -- (-1357.803) [-1359.796] (-1370.526) (-1361.132) * [-1360.731] (-1379.022) (-1362.773) (-1368.267) -- 0:01:43
644000 -- [-1356.550] (-1371.281) (-1368.094) (-1359.291) * [-1362.118] (-1366.626) (-1362.791) (-1368.126) -- 0:01:42
645000 -- (-1358.538) (-1363.271) (-1363.457) [-1360.027] * [-1360.044] (-1367.403) (-1365.552) (-1361.761) -- 0:01:42
Average standard deviation of split frequencies: 0.008301
646000 -- (-1357.039) (-1366.556) [-1356.017] (-1362.857) * (-1365.233) (-1371.297) (-1357.226) [-1360.212] -- 0:01:41
647000 -- (-1364.514) (-1366.347) (-1371.798) [-1360.295] * [-1361.734] (-1359.763) (-1364.122) (-1365.550) -- 0:01:42
648000 -- (-1356.603) [-1360.530] (-1362.290) (-1368.324) * (-1362.326) (-1359.809) (-1380.800) [-1361.696] -- 0:01:41
649000 -- [-1356.709] (-1365.043) (-1382.769) (-1374.800) * (-1369.288) (-1362.679) (-1359.388) [-1359.196] -- 0:01:41
650000 -- [-1362.128] (-1373.283) (-1367.346) (-1359.905) * (-1368.996) (-1361.135) [-1363.153] (-1360.997) -- 0:01:41
Average standard deviation of split frequencies: 0.008392
651000 -- (-1365.390) (-1358.162) (-1363.786) [-1359.238] * (-1362.289) (-1353.918) (-1367.017) [-1358.749] -- 0:01:40
652000 -- (-1361.748) [-1360.071] (-1359.533) (-1366.307) * [-1356.586] (-1362.926) (-1371.105) (-1362.343) -- 0:01:40
653000 -- [-1361.697] (-1374.852) (-1360.847) (-1360.757) * [-1360.763] (-1363.686) (-1363.432) (-1375.186) -- 0:01:40
654000 -- (-1360.243) [-1355.015] (-1356.866) (-1358.042) * [-1365.159] (-1377.378) (-1364.124) (-1358.306) -- 0:01:39
655000 -- [-1359.451] (-1356.717) (-1358.735) (-1361.190) * (-1372.485) (-1361.306) (-1373.429) [-1360.170] -- 0:01:39
Average standard deviation of split frequencies: 0.009042
656000 -- (-1357.816) (-1365.052) [-1365.886] (-1355.348) * (-1364.945) (-1358.527) [-1365.251] (-1361.631) -- 0:01:39
657000 -- (-1371.573) [-1369.413] (-1360.809) (-1370.852) * (-1368.911) (-1355.186) (-1368.904) [-1358.322] -- 0:01:39
658000 -- [-1353.582] (-1361.982) (-1365.831) (-1358.770) * (-1358.498) (-1361.376) (-1367.069) [-1359.634] -- 0:01:38
659000 -- (-1367.492) (-1365.913) (-1362.841) [-1361.655] * (-1367.257) (-1362.684) (-1364.885) [-1356.810] -- 0:01:38
660000 -- (-1365.026) [-1362.147] (-1359.932) (-1363.642) * (-1356.931) [-1361.150] (-1356.697) (-1371.108) -- 0:01:37
Average standard deviation of split frequencies: 0.009068
661000 -- (-1358.592) [-1361.493] (-1369.254) (-1361.335) * (-1362.230) (-1368.231) [-1361.215] (-1358.223) -- 0:01:37
662000 -- [-1362.148] (-1359.386) (-1367.640) (-1364.471) * (-1363.479) [-1363.760] (-1360.678) (-1361.921) -- 0:01:37
663000 -- (-1370.220) [-1357.547] (-1361.401) (-1367.206) * (-1361.297) (-1365.569) [-1361.459] (-1364.561) -- 0:01:37
664000 -- (-1360.683) [-1357.147] (-1367.863) (-1369.982) * (-1359.041) [-1366.264] (-1354.676) (-1358.214) -- 0:01:37
665000 -- (-1366.022) (-1363.133) [-1358.999] (-1367.037) * (-1364.610) (-1367.707) [-1359.078] (-1361.593) -- 0:01:36
Average standard deviation of split frequencies: 0.009113
666000 -- (-1362.505) [-1363.269] (-1363.633) (-1364.512) * (-1362.502) (-1361.314) (-1361.500) [-1362.360] -- 0:01:36
667000 -- (-1368.171) (-1358.848) (-1371.058) [-1364.220] * (-1364.015) [-1364.865] (-1367.126) (-1368.164) -- 0:01:36
668000 -- (-1356.468) (-1362.697) [-1366.486] (-1369.237) * [-1362.171] (-1371.524) (-1367.063) (-1363.429) -- 0:01:35
669000 -- (-1359.684) [-1354.318] (-1373.093) (-1363.506) * (-1360.680) (-1357.421) (-1368.112) [-1361.075] -- 0:01:35
670000 -- (-1361.262) (-1363.567) [-1354.396] (-1365.827) * (-1361.384) [-1360.706] (-1359.126) (-1360.403) -- 0:01:35
Average standard deviation of split frequencies: 0.009401
671000 -- (-1357.218) (-1361.876) [-1361.011] (-1365.970) * [-1359.279] (-1361.107) (-1361.466) (-1357.496) -- 0:01:35
672000 -- [-1361.343] (-1366.278) (-1370.283) (-1363.816) * (-1363.021) [-1358.745] (-1361.533) (-1358.384) -- 0:01:34
673000 -- (-1360.483) (-1368.734) (-1370.111) [-1355.432] * (-1356.498) [-1363.238] (-1360.203) (-1371.718) -- 0:01:34
674000 -- (-1363.579) [-1356.961] (-1366.555) (-1362.425) * (-1362.211) (-1361.694) (-1369.865) [-1366.000] -- 0:01:33
675000 -- [-1364.200] (-1359.704) (-1376.041) (-1362.726) * (-1360.894) [-1365.614] (-1361.765) (-1366.964) -- 0:01:33
Average standard deviation of split frequencies: 0.009530
676000 -- [-1363.559] (-1356.499) (-1365.468) (-1375.461) * [-1357.477] (-1357.909) (-1356.661) (-1369.467) -- 0:01:33
677000 -- [-1364.132] (-1367.318) (-1360.276) (-1361.276) * (-1357.938) (-1368.170) [-1358.480] (-1368.241) -- 0:01:33
678000 -- (-1373.265) [-1358.256] (-1358.832) (-1364.897) * (-1379.860) (-1366.899) [-1362.322] (-1356.135) -- 0:01:33
679000 -- [-1356.874] (-1368.368) (-1367.362) (-1361.235) * (-1365.044) (-1372.334) (-1361.082) [-1357.251] -- 0:01:32
680000 -- (-1368.633) (-1367.995) (-1376.378) [-1357.488] * (-1370.048) [-1360.665] (-1367.553) (-1376.121) -- 0:01:32
Average standard deviation of split frequencies: 0.009148
681000 -- (-1362.586) [-1364.918] (-1370.223) (-1358.730) * (-1360.224) (-1362.432) [-1358.072] (-1372.205) -- 0:01:31
682000 -- (-1366.102) (-1358.000) [-1364.897] (-1367.613) * (-1356.699) (-1371.492) (-1356.655) [-1358.817] -- 0:01:31
683000 -- (-1369.463) (-1380.561) [-1355.603] (-1362.241) * (-1371.526) (-1370.553) (-1360.657) [-1359.354] -- 0:01:31
684000 -- (-1364.682) [-1361.249] (-1362.125) (-1358.981) * (-1359.548) (-1370.143) [-1357.714] (-1356.658) -- 0:01:31
685000 -- [-1364.062] (-1356.688) (-1359.400) (-1362.753) * [-1366.394] (-1375.542) (-1363.325) (-1360.158) -- 0:01:31
Average standard deviation of split frequencies: 0.009363
686000 -- [-1361.275] (-1368.337) (-1363.876) (-1363.951) * (-1357.307) (-1357.849) [-1369.343] (-1359.493) -- 0:01:30
687000 -- (-1357.590) (-1363.449) (-1364.730) [-1358.247] * (-1361.148) (-1359.022) [-1361.788] (-1367.199) -- 0:01:30
688000 -- (-1370.374) [-1360.931] (-1360.858) (-1375.370) * (-1374.395) (-1371.665) [-1360.383] (-1367.745) -- 0:01:29
689000 -- (-1364.611) (-1358.919) [-1361.950] (-1357.667) * [-1368.174] (-1365.364) (-1363.987) (-1372.296) -- 0:01:29
690000 -- [-1357.175] (-1359.173) (-1369.695) (-1359.888) * (-1360.415) (-1360.183) [-1363.038] (-1361.778) -- 0:01:29
Average standard deviation of split frequencies: 0.008987
691000 -- (-1359.346) (-1357.532) (-1357.127) [-1366.065] * [-1361.665] (-1354.710) (-1362.620) (-1359.875) -- 0:01:28
692000 -- (-1364.665) (-1368.069) [-1363.007] (-1360.846) * [-1358.173] (-1373.816) (-1366.489) (-1360.530) -- 0:01:29
693000 -- (-1369.735) [-1359.594] (-1377.354) (-1354.354) * (-1364.148) (-1364.889) (-1356.299) [-1358.508] -- 0:01:28
694000 -- (-1369.920) (-1367.859) [-1366.607] (-1358.293) * (-1366.544) [-1360.338] (-1359.643) (-1366.477) -- 0:01:28
695000 -- (-1357.304) [-1358.679] (-1361.021) (-1361.971) * (-1359.147) [-1358.826] (-1363.227) (-1358.208) -- 0:01:27
Average standard deviation of split frequencies: 0.008974
696000 -- (-1359.497) (-1371.032) (-1368.171) [-1365.611] * (-1354.179) [-1363.062] (-1374.817) (-1371.149) -- 0:01:27
697000 -- (-1369.887) [-1358.991] (-1361.223) (-1359.554) * (-1361.577) (-1361.915) (-1364.794) [-1359.365] -- 0:01:27
698000 -- (-1365.435) [-1364.975] (-1371.826) (-1361.016) * (-1364.417) (-1362.779) [-1360.530] (-1352.959) -- 0:01:26
699000 -- (-1364.218) (-1370.820) [-1359.051] (-1356.858) * (-1364.649) (-1367.322) [-1362.590] (-1361.981) -- 0:01:26
700000 -- (-1360.704) (-1359.840) [-1354.033] (-1373.355) * (-1363.796) (-1361.127) [-1361.800] (-1365.731) -- 0:01:26
Average standard deviation of split frequencies: 0.008971
701000 -- (-1361.653) (-1366.543) (-1372.112) [-1370.443] * (-1361.796) [-1362.115] (-1364.587) (-1361.844) -- 0:01:26
702000 -- (-1369.997) (-1368.118) (-1370.195) [-1359.798] * (-1360.519) (-1363.123) [-1360.609] (-1376.010) -- 0:01:25
703000 -- (-1364.809) [-1363.285] (-1364.342) (-1362.466) * (-1361.108) (-1368.489) [-1363.071] (-1366.156) -- 0:01:25
704000 -- (-1366.102) [-1358.903] (-1362.506) (-1364.681) * (-1363.159) [-1366.509] (-1361.107) (-1371.712) -- 0:01:25
705000 -- (-1365.295) (-1360.182) [-1370.750] (-1368.518) * (-1366.148) (-1358.717) (-1370.687) [-1360.995] -- 0:01:24
Average standard deviation of split frequencies: 0.009209
706000 -- (-1360.978) (-1359.790) [-1364.567] (-1361.594) * (-1375.305) (-1374.396) [-1361.433] (-1356.117) -- 0:01:24
707000 -- (-1366.260) [-1360.436] (-1365.577) (-1378.802) * (-1360.745) (-1365.017) (-1367.431) [-1370.904] -- 0:01:24
708000 -- [-1367.484] (-1364.255) (-1366.100) (-1364.157) * (-1367.371) [-1357.888] (-1376.782) (-1362.860) -- 0:01:24
709000 -- [-1360.681] (-1364.069) (-1357.948) (-1365.088) * [-1364.202] (-1369.160) (-1368.199) (-1360.130) -- 0:01:23
710000 -- (-1360.456) (-1358.486) (-1358.194) [-1353.351] * (-1369.201) [-1358.687] (-1359.595) (-1374.066) -- 0:01:23
Average standard deviation of split frequencies: 0.008872
711000 -- (-1360.352) (-1364.124) [-1359.962] (-1358.517) * (-1361.427) (-1361.942) [-1365.144] (-1365.918) -- 0:01:23
712000 -- [-1356.042] (-1363.269) (-1354.863) (-1359.466) * (-1379.448) (-1368.258) (-1355.647) [-1358.866] -- 0:01:22
713000 -- [-1360.822] (-1360.579) (-1361.349) (-1377.473) * (-1353.610) [-1361.136] (-1370.391) (-1366.373) -- 0:01:22
714000 -- (-1355.991) [-1363.456] (-1356.832) (-1361.768) * (-1371.405) (-1369.038) [-1361.040] (-1359.818) -- 0:01:22
715000 -- [-1360.835] (-1356.316) (-1363.528) (-1375.134) * [-1360.813] (-1362.974) (-1361.003) (-1373.790) -- 0:01:22
Average standard deviation of split frequencies: 0.008586
716000 -- (-1363.159) [-1356.006] (-1368.712) (-1358.530) * (-1362.389) [-1359.199] (-1359.638) (-1368.608) -- 0:01:21
717000 -- [-1359.679] (-1366.892) (-1372.568) (-1360.208) * (-1361.092) (-1369.400) [-1364.482] (-1358.531) -- 0:01:21
718000 -- (-1361.049) (-1365.316) (-1368.024) [-1359.392] * (-1359.666) [-1353.808] (-1359.373) (-1370.040) -- 0:01:21
719000 -- (-1365.165) (-1367.951) (-1362.075) [-1360.703] * (-1361.631) (-1360.568) (-1368.307) [-1364.597] -- 0:01:20
720000 -- (-1357.246) (-1366.131) (-1365.594) [-1360.081] * [-1365.123] (-1363.808) (-1363.824) (-1362.525) -- 0:01:20
Average standard deviation of split frequencies: 0.009044
721000 -- (-1357.953) (-1362.923) [-1363.595] (-1372.123) * (-1362.963) (-1359.501) [-1356.221] (-1363.259) -- 0:01:20
722000 -- (-1363.764) (-1365.491) (-1366.808) [-1363.597] * (-1362.415) (-1362.443) (-1365.345) [-1358.908] -- 0:01:20
723000 -- [-1362.903] (-1358.577) (-1369.507) (-1368.402) * (-1358.343) (-1364.112) (-1360.855) [-1361.329] -- 0:01:19
724000 -- (-1358.018) (-1358.841) [-1363.677] (-1358.154) * (-1368.177) (-1373.313) [-1358.992] (-1372.304) -- 0:01:19
725000 -- (-1370.152) (-1353.975) [-1356.347] (-1357.065) * (-1359.340) (-1359.383) [-1367.150] (-1366.306) -- 0:01:19
Average standard deviation of split frequencies: 0.009062
726000 -- (-1361.119) [-1355.600] (-1362.718) (-1364.017) * (-1363.645) (-1359.592) (-1366.771) [-1367.651] -- 0:01:18
727000 -- [-1359.763] (-1360.491) (-1355.119) (-1370.103) * (-1365.247) (-1361.368) [-1358.187] (-1364.887) -- 0:01:18
728000 -- (-1365.933) (-1352.524) (-1361.326) [-1362.396] * (-1365.223) [-1359.357] (-1366.859) (-1367.009) -- 0:01:18
729000 -- [-1358.571] (-1360.335) (-1372.661) (-1360.058) * (-1375.422) [-1361.464] (-1366.167) (-1360.418) -- 0:01:18
730000 -- [-1357.113] (-1367.159) (-1376.275) (-1362.902) * (-1379.387) (-1363.928) [-1355.132] (-1362.953) -- 0:01:17
Average standard deviation of split frequencies: 0.008527
731000 -- (-1367.636) [-1361.021] (-1367.465) (-1370.007) * [-1364.613] (-1359.028) (-1363.495) (-1367.971) -- 0:01:17
732000 -- (-1358.134) (-1360.619) (-1360.606) [-1355.360] * (-1365.085) (-1367.236) [-1359.390] (-1367.685) -- 0:01:17
733000 -- [-1357.839] (-1374.698) (-1361.632) (-1364.256) * [-1354.831] (-1362.364) (-1372.934) (-1371.335) -- 0:01:16
734000 -- (-1368.535) [-1359.528] (-1367.147) (-1361.818) * (-1371.077) [-1363.734] (-1367.328) (-1362.449) -- 0:01:16
735000 -- (-1358.778) [-1366.360] (-1370.102) (-1360.093) * [-1357.955] (-1364.650) (-1356.860) (-1365.050) -- 0:01:16
Average standard deviation of split frequencies: 0.008048
736000 -- [-1365.419] (-1359.133) (-1358.658) (-1359.901) * (-1360.637) (-1365.710) (-1367.957) [-1359.963] -- 0:01:16
737000 -- (-1359.103) [-1358.166] (-1356.728) (-1359.668) * (-1370.212) (-1374.130) (-1360.207) [-1370.439] -- 0:01:15
738000 -- [-1359.576] (-1357.393) (-1362.518) (-1364.093) * (-1356.002) (-1366.193) [-1366.025] (-1365.381) -- 0:01:15
739000 -- (-1357.091) (-1371.463) [-1361.813] (-1366.902) * [-1363.983] (-1357.989) (-1358.260) (-1370.685) -- 0:01:15
740000 -- (-1359.015) [-1358.023] (-1363.276) (-1361.371) * (-1363.901) (-1361.314) (-1365.279) [-1360.902] -- 0:01:14
Average standard deviation of split frequencies: 0.008108
741000 -- (-1360.479) (-1362.765) [-1361.176] (-1362.925) * (-1368.185) (-1366.120) (-1371.517) [-1361.552] -- 0:01:14
742000 -- [-1360.135] (-1362.730) (-1356.530) (-1368.463) * [-1368.587] (-1382.121) (-1372.027) (-1361.818) -- 0:01:14
743000 -- (-1363.244) (-1362.458) [-1359.689] (-1367.490) * (-1366.297) (-1359.650) [-1358.098] (-1363.823) -- 0:01:14
744000 -- (-1359.758) (-1369.015) [-1358.699] (-1374.831) * [-1354.781] (-1368.483) (-1356.631) (-1355.965) -- 0:01:13
745000 -- (-1357.465) [-1360.856] (-1360.108) (-1368.221) * (-1368.222) (-1353.549) (-1367.539) [-1358.570] -- 0:01:13
Average standard deviation of split frequencies: 0.007940
746000 -- [-1360.808] (-1368.878) (-1368.614) (-1363.315) * [-1360.841] (-1362.930) (-1359.756) (-1369.000) -- 0:01:13
747000 -- (-1363.870) (-1369.816) [-1368.418] (-1358.671) * (-1358.843) [-1370.937] (-1359.511) (-1361.192) -- 0:01:12
748000 -- (-1365.300) (-1362.022) (-1358.625) [-1367.086] * (-1369.682) (-1370.622) (-1362.621) [-1363.355] -- 0:01:12
749000 -- (-1359.875) (-1365.283) [-1360.124] (-1370.878) * [-1370.160] (-1365.324) (-1361.436) (-1360.949) -- 0:01:12
750000 -- (-1370.497) (-1361.091) [-1355.147] (-1364.476) * (-1366.899) [-1360.692] (-1373.525) (-1360.597) -- 0:01:12
Average standard deviation of split frequencies: 0.007891
751000 -- [-1357.008] (-1364.081) (-1362.189) (-1370.209) * (-1362.514) (-1366.633) (-1356.661) [-1361.748] -- 0:01:11
752000 -- [-1356.757] (-1366.917) (-1361.845) (-1363.793) * (-1359.968) [-1365.527] (-1362.228) (-1364.107) -- 0:01:11
753000 -- (-1365.669) (-1372.290) [-1353.644] (-1357.200) * [-1364.780] (-1360.612) (-1358.734) (-1362.666) -- 0:01:11
754000 -- (-1360.711) (-1361.760) (-1358.307) [-1371.207] * (-1372.458) (-1364.262) (-1360.941) [-1356.753] -- 0:01:10
755000 -- (-1360.735) [-1359.049] (-1363.070) (-1360.136) * [-1356.927] (-1371.563) (-1369.053) (-1363.384) -- 0:01:10
Average standard deviation of split frequencies: 0.008135
756000 -- (-1356.892) [-1372.189] (-1368.142) (-1363.815) * (-1367.543) (-1367.825) [-1354.019] (-1367.540) -- 0:01:10
757000 -- (-1355.453) (-1367.052) (-1367.931) [-1361.546] * [-1357.333] (-1360.983) (-1362.379) (-1359.006) -- 0:01:09
758000 -- [-1366.477] (-1371.860) (-1361.721) (-1366.510) * (-1366.086) [-1362.981] (-1365.970) (-1368.562) -- 0:01:09
759000 -- (-1364.959) (-1362.989) (-1355.244) [-1366.519] * (-1356.311) (-1363.132) [-1354.278] (-1366.025) -- 0:01:09
760000 -- (-1365.780) (-1366.360) (-1374.670) [-1365.176] * (-1376.865) (-1360.833) [-1357.908] (-1361.841) -- 0:01:09
Average standard deviation of split frequencies: 0.008169
761000 -- (-1361.298) (-1363.158) [-1361.422] (-1365.807) * (-1361.731) (-1362.931) [-1353.601] (-1363.335) -- 0:01:08
762000 -- (-1354.120) [-1364.525] (-1363.741) (-1366.275) * (-1359.492) (-1365.558) (-1365.987) [-1365.164] -- 0:01:08
763000 -- (-1368.989) [-1362.792] (-1378.092) (-1366.549) * (-1364.662) (-1363.797) [-1360.630] (-1364.721) -- 0:01:08
764000 -- [-1354.603] (-1362.404) (-1380.184) (-1365.190) * (-1369.175) (-1364.999) [-1364.606] (-1366.405) -- 0:01:07
765000 -- [-1361.190] (-1364.087) (-1371.574) (-1375.427) * (-1362.444) [-1359.816] (-1360.803) (-1362.615) -- 0:01:07
Average standard deviation of split frequencies: 0.008196
766000 -- [-1359.989] (-1360.734) (-1363.987) (-1366.137) * (-1367.346) [-1361.459] (-1356.569) (-1363.180) -- 0:01:07
767000 -- (-1364.026) (-1362.075) (-1373.729) [-1359.180] * [-1355.491] (-1358.374) (-1360.564) (-1361.188) -- 0:01:07
768000 -- (-1359.081) (-1368.392) [-1373.712] (-1359.521) * (-1365.387) (-1357.243) (-1363.569) [-1359.505] -- 0:01:06
769000 -- (-1361.976) (-1374.883) [-1366.273] (-1364.291) * (-1353.706) (-1372.646) [-1374.148] (-1359.691) -- 0:01:06
770000 -- (-1357.477) [-1366.218] (-1370.215) (-1367.671) * (-1356.214) [-1362.095] (-1358.843) (-1359.656) -- 0:01:06
Average standard deviation of split frequencies: 0.008377
771000 -- (-1359.268) (-1357.630) [-1367.049] (-1363.693) * [-1358.476] (-1363.023) (-1355.153) (-1362.206) -- 0:01:05
772000 -- (-1364.332) [-1362.330] (-1360.844) (-1366.757) * [-1366.207] (-1362.182) (-1368.741) (-1370.012) -- 0:01:05
773000 -- (-1358.108) (-1362.997) [-1359.673] (-1357.850) * [-1358.326] (-1367.999) (-1368.484) (-1363.020) -- 0:01:05
774000 -- (-1363.858) (-1366.388) (-1362.851) [-1354.066] * (-1361.969) (-1360.965) [-1359.563] (-1359.887) -- 0:01:05
775000 -- [-1353.230] (-1368.583) (-1368.906) (-1368.010) * [-1360.231] (-1367.460) (-1362.795) (-1353.906) -- 0:01:04
Average standard deviation of split frequencies: 0.008615
776000 -- (-1365.238) (-1360.744) (-1355.257) [-1366.020] * (-1370.477) (-1369.657) [-1356.358] (-1370.348) -- 0:01:04
777000 -- (-1371.722) (-1367.135) (-1368.469) [-1351.849] * (-1370.290) [-1356.077] (-1358.357) (-1361.852) -- 0:01:04
778000 -- (-1367.937) (-1369.744) [-1360.559] (-1357.935) * (-1369.369) (-1358.456) [-1365.483] (-1367.486) -- 0:01:03
779000 -- (-1367.290) (-1368.395) [-1361.730] (-1367.648) * (-1355.264) (-1360.429) (-1365.905) [-1356.800] -- 0:01:03
780000 -- [-1358.869] (-1362.045) (-1356.442) (-1369.758) * (-1364.469) [-1367.865] (-1369.255) (-1367.234) -- 0:01:03
Average standard deviation of split frequencies: 0.008399
781000 -- [-1363.027] (-1365.829) (-1366.851) (-1359.708) * (-1370.428) (-1370.983) (-1356.386) [-1353.543] -- 0:01:03
782000 -- (-1367.510) (-1368.126) (-1364.507) [-1363.177] * (-1358.123) (-1365.230) [-1358.816] (-1352.309) -- 0:01:02
783000 -- [-1357.215] (-1361.601) (-1360.454) (-1361.791) * (-1365.848) (-1375.415) (-1365.756) [-1357.227] -- 0:01:02
784000 -- (-1360.272) [-1369.641] (-1369.902) (-1363.233) * (-1354.366) (-1364.695) (-1373.225) [-1361.462] -- 0:01:02
785000 -- (-1368.336) (-1360.268) (-1363.720) [-1359.367] * (-1359.332) [-1368.198] (-1357.645) (-1360.740) -- 0:01:01
Average standard deviation of split frequencies: 0.008315
786000 -- (-1362.922) [-1359.704] (-1364.550) (-1365.452) * (-1364.393) [-1360.908] (-1358.393) (-1366.012) -- 0:01:01
787000 -- (-1362.579) [-1360.587] (-1367.507) (-1360.995) * (-1371.769) (-1357.673) [-1359.077] (-1362.676) -- 0:01:01
788000 -- (-1373.917) (-1363.791) [-1367.270] (-1366.860) * (-1355.933) (-1372.166) [-1366.243] (-1368.957) -- 0:01:01
789000 -- (-1363.836) (-1373.991) (-1355.471) [-1363.279] * [-1363.988] (-1363.044) (-1366.526) (-1358.655) -- 0:01:00
790000 -- (-1378.221) [-1363.123] (-1367.158) (-1357.385) * (-1367.954) (-1364.655) (-1358.927) [-1352.502] -- 0:01:00
Average standard deviation of split frequencies: 0.008062
791000 -- (-1362.080) (-1364.870) (-1364.295) [-1361.756] * [-1355.878] (-1365.760) (-1360.149) (-1362.917) -- 0:01:00
792000 -- (-1365.797) (-1362.024) (-1373.692) [-1353.861] * (-1369.680) [-1358.236] (-1363.198) (-1364.683) -- 0:00:59
793000 -- (-1364.054) (-1364.352) (-1367.213) [-1363.919] * [-1358.089] (-1362.995) (-1370.033) (-1358.450) -- 0:00:59
794000 -- (-1357.702) (-1363.805) (-1354.409) [-1357.281] * (-1364.294) [-1360.006] (-1364.497) (-1361.628) -- 0:00:59
795000 -- (-1359.205) (-1367.706) [-1362.021] (-1364.905) * (-1358.967) (-1360.028) (-1375.400) [-1357.181] -- 0:00:59
Average standard deviation of split frequencies: 0.008240
796000 -- (-1360.069) (-1361.935) (-1360.293) [-1357.231] * (-1377.882) (-1362.750) (-1367.764) [-1355.657] -- 0:00:58
797000 -- (-1362.230) [-1360.838] (-1356.765) (-1360.479) * (-1366.222) (-1363.806) [-1366.098] (-1359.854) -- 0:00:58
798000 -- (-1367.965) (-1367.487) [-1365.530] (-1378.062) * (-1370.772) [-1366.102] (-1356.925) (-1366.708) -- 0:00:58
799000 -- (-1358.636) (-1368.692) [-1362.297] (-1364.948) * (-1365.757) (-1359.783) (-1357.701) [-1365.054] -- 0:00:57
800000 -- (-1368.575) (-1365.802) (-1357.028) [-1359.884] * (-1364.335) [-1360.657] (-1373.616) (-1368.072) -- 0:00:57
Average standard deviation of split frequencies: 0.008323
801000 -- (-1367.378) (-1360.445) (-1367.477) [-1368.838] * (-1355.658) (-1370.813) [-1362.277] (-1373.127) -- 0:00:57
802000 -- (-1358.463) [-1365.885] (-1369.848) (-1356.818) * (-1362.452) (-1355.901) [-1358.675] (-1367.879) -- 0:00:57
803000 -- (-1366.966) (-1362.542) [-1364.221] (-1356.973) * [-1362.138] (-1363.418) (-1368.564) (-1362.709) -- 0:00:56
804000 -- (-1368.738) [-1359.104] (-1367.606) (-1368.244) * (-1371.596) (-1361.781) (-1367.730) [-1364.951] -- 0:00:56
805000 -- [-1357.587] (-1362.206) (-1373.815) (-1366.509) * (-1367.681) [-1364.609] (-1360.540) (-1360.224) -- 0:00:56
Average standard deviation of split frequencies: 0.008137
806000 -- (-1364.243) (-1373.416) (-1369.147) [-1369.513] * [-1361.953] (-1361.886) (-1360.357) (-1364.416) -- 0:00:55
807000 -- (-1355.924) (-1364.244) [-1354.363] (-1366.015) * (-1372.548) (-1370.657) [-1357.207] (-1378.049) -- 0:00:55
808000 -- (-1376.696) [-1360.159] (-1372.662) (-1366.394) * (-1359.131) [-1359.027] (-1362.018) (-1369.818) -- 0:00:55
809000 -- (-1359.729) (-1359.734) [-1355.922] (-1366.681) * (-1373.502) [-1358.858] (-1363.243) (-1371.816) -- 0:00:55
810000 -- [-1362.834] (-1361.572) (-1362.624) (-1363.869) * (-1361.819) (-1367.235) [-1361.153] (-1365.421) -- 0:00:54
Average standard deviation of split frequencies: 0.008267
811000 -- [-1359.877] (-1359.516) (-1371.798) (-1357.657) * (-1360.043) [-1364.930] (-1361.520) (-1375.536) -- 0:00:54
812000 -- [-1359.489] (-1358.089) (-1371.595) (-1365.862) * (-1357.700) [-1358.532] (-1370.593) (-1367.921) -- 0:00:54
813000 -- (-1366.144) [-1359.215] (-1363.694) (-1361.828) * (-1368.206) (-1364.037) (-1367.378) [-1359.694] -- 0:00:53
814000 -- [-1368.896] (-1364.863) (-1359.424) (-1362.798) * (-1367.491) (-1360.128) (-1356.243) [-1367.235] -- 0:00:53
815000 -- (-1360.174) [-1365.156] (-1367.686) (-1359.182) * [-1368.250] (-1352.848) (-1359.646) (-1362.720) -- 0:00:53
Average standard deviation of split frequencies: 0.008188
816000 -- (-1354.221) (-1364.066) (-1362.800) [-1363.285] * (-1366.388) (-1357.902) [-1355.085] (-1356.951) -- 0:00:52
817000 -- (-1361.600) [-1365.838] (-1376.255) (-1367.853) * (-1375.622) (-1366.879) [-1362.338] (-1360.846) -- 0:00:52
818000 -- [-1355.452] (-1364.923) (-1363.986) (-1357.689) * [-1366.707] (-1363.187) (-1357.904) (-1369.691) -- 0:00:52
819000 -- (-1360.265) (-1361.505) (-1369.155) [-1358.835] * (-1362.758) [-1358.946] (-1360.248) (-1366.362) -- 0:00:52
820000 -- (-1373.303) (-1359.702) [-1363.019] (-1370.898) * (-1357.842) (-1368.715) (-1359.218) [-1363.208] -- 0:00:51
Average standard deviation of split frequencies: 0.008512
821000 -- (-1359.251) (-1363.826) (-1361.708) [-1361.404] * (-1356.853) (-1361.850) [-1359.822] (-1360.290) -- 0:00:51
822000 -- [-1365.580] (-1366.113) (-1366.704) (-1360.358) * [-1359.975] (-1368.904) (-1362.417) (-1363.660) -- 0:00:51
823000 -- (-1359.179) (-1363.061) [-1358.620] (-1367.616) * (-1364.431) (-1365.363) (-1369.391) [-1355.861] -- 0:00:50
824000 -- (-1362.935) [-1360.585] (-1371.984) (-1361.519) * (-1362.482) (-1366.711) [-1366.215] (-1358.687) -- 0:00:50
825000 -- (-1366.613) (-1361.998) [-1361.488] (-1362.007) * (-1357.509) [-1359.368] (-1359.747) (-1369.899) -- 0:00:50
Average standard deviation of split frequencies: 0.008742
826000 -- [-1358.192] (-1359.933) (-1368.004) (-1364.262) * (-1363.203) (-1365.680) [-1360.698] (-1360.937) -- 0:00:50
827000 -- [-1356.377] (-1362.327) (-1361.185) (-1369.010) * (-1376.113) (-1364.748) (-1359.600) [-1357.964] -- 0:00:49
828000 -- [-1363.568] (-1369.078) (-1359.645) (-1366.962) * [-1364.625] (-1364.594) (-1361.671) (-1362.440) -- 0:00:49
829000 -- (-1365.406) (-1362.920) [-1362.756] (-1369.050) * (-1363.562) (-1363.362) (-1367.180) [-1359.167] -- 0:00:49
830000 -- (-1370.793) (-1373.816) [-1361.155] (-1368.614) * (-1363.024) (-1376.286) (-1356.612) [-1357.758] -- 0:00:48
Average standard deviation of split frequencies: 0.008661
831000 -- (-1370.311) (-1365.942) [-1359.256] (-1361.216) * (-1378.222) [-1353.502] (-1367.017) (-1361.303) -- 0:00:48
832000 -- (-1362.222) (-1365.896) [-1359.916] (-1369.424) * [-1361.291] (-1369.679) (-1355.573) (-1368.367) -- 0:00:48
833000 -- (-1382.407) (-1357.042) [-1356.375] (-1368.502) * [-1363.666] (-1365.499) (-1363.072) (-1361.532) -- 0:00:48
834000 -- (-1362.632) (-1361.622) [-1364.052] (-1358.875) * [-1359.696] (-1374.652) (-1361.674) (-1364.606) -- 0:00:47
835000 -- (-1371.939) [-1360.302] (-1358.641) (-1371.099) * (-1364.796) (-1355.351) [-1368.090] (-1361.364) -- 0:00:47
Average standard deviation of split frequencies: 0.008787
836000 -- (-1363.383) (-1368.768) (-1365.312) [-1364.421] * (-1360.355) [-1360.470] (-1356.915) (-1367.315) -- 0:00:47
837000 -- [-1366.101] (-1374.627) (-1353.590) (-1359.651) * (-1355.675) (-1368.739) (-1370.431) [-1360.108] -- 0:00:46
838000 -- (-1358.994) (-1364.531) [-1360.352] (-1362.728) * (-1366.754) (-1367.931) (-1356.832) [-1365.018] -- 0:00:46
839000 -- (-1355.869) (-1373.122) [-1360.837] (-1361.768) * (-1362.340) (-1362.669) (-1363.378) [-1355.813] -- 0:00:46
840000 -- (-1366.010) [-1356.495] (-1371.092) (-1365.085) * (-1366.851) (-1360.949) (-1358.280) [-1365.135] -- 0:00:46
Average standard deviation of split frequencies: 0.009042
841000 -- [-1361.667] (-1366.364) (-1361.538) (-1360.925) * (-1356.405) (-1356.448) (-1366.592) [-1362.334] -- 0:00:45
842000 -- (-1368.942) [-1359.604] (-1361.321) (-1371.152) * (-1362.382) (-1364.966) (-1368.062) [-1372.560] -- 0:00:45
843000 -- (-1366.920) [-1363.023] (-1359.076) (-1368.960) * (-1356.606) [-1369.291] (-1359.319) (-1367.726) -- 0:00:45
844000 -- (-1364.703) (-1369.648) [-1365.630] (-1357.356) * (-1367.801) (-1360.039) [-1358.909] (-1358.155) -- 0:00:44
845000 -- (-1362.497) [-1361.795] (-1368.685) (-1360.340) * [-1364.710] (-1369.343) (-1358.157) (-1364.434) -- 0:00:44
Average standard deviation of split frequencies: 0.008985
846000 -- [-1362.507] (-1367.524) (-1360.025) (-1364.999) * (-1377.398) (-1364.773) (-1366.522) [-1364.937] -- 0:00:44
847000 -- (-1369.556) (-1362.321) (-1363.615) [-1356.603] * (-1360.401) [-1367.257] (-1364.295) (-1364.813) -- 0:00:44
848000 -- (-1355.632) (-1361.436) (-1358.934) [-1367.419] * (-1374.378) (-1370.611) (-1361.641) [-1359.805] -- 0:00:43
849000 -- (-1370.522) (-1362.830) [-1366.843] (-1360.160) * (-1365.757) (-1362.267) [-1365.825] (-1361.103) -- 0:00:43
850000 -- (-1360.024) (-1360.877) [-1361.656] (-1359.809) * (-1371.100) (-1362.059) [-1365.006] (-1362.465) -- 0:00:43
Average standard deviation of split frequencies: 0.008890
851000 -- (-1358.042) (-1358.164) (-1361.669) [-1371.562] * [-1365.477] (-1362.636) (-1358.080) (-1360.659) -- 0:00:42
852000 -- (-1367.688) (-1359.038) [-1358.436] (-1363.188) * [-1359.580] (-1357.044) (-1361.053) (-1359.577) -- 0:00:42
853000 -- (-1358.521) [-1359.375] (-1369.794) (-1370.513) * [-1364.694] (-1361.377) (-1373.188) (-1373.423) -- 0:00:42
854000 -- (-1368.031) (-1369.347) [-1356.609] (-1366.424) * [-1357.710] (-1364.751) (-1358.585) (-1359.320) -- 0:00:42
855000 -- (-1376.119) [-1360.441] (-1369.765) (-1362.713) * (-1363.842) (-1365.562) (-1377.519) [-1357.509] -- 0:00:41
Average standard deviation of split frequencies: 0.009018
856000 -- (-1358.377) (-1364.445) [-1361.030] (-1369.376) * (-1361.506) [-1361.127] (-1366.674) (-1375.917) -- 0:00:41
857000 -- (-1357.725) (-1374.929) (-1368.471) [-1360.304] * [-1362.401] (-1370.728) (-1360.228) (-1374.109) -- 0:00:41
858000 -- [-1357.634] (-1357.030) (-1361.718) (-1367.804) * [-1357.822] (-1366.168) (-1370.466) (-1373.519) -- 0:00:40
859000 -- (-1371.092) [-1369.105] (-1359.503) (-1357.553) * (-1374.194) [-1360.935] (-1356.788) (-1360.418) -- 0:00:40
860000 -- (-1365.090) [-1352.993] (-1361.224) (-1355.499) * [-1359.940] (-1365.405) (-1364.450) (-1360.835) -- 0:00:40
Average standard deviation of split frequencies: 0.009129
861000 -- [-1363.383] (-1357.701) (-1374.662) (-1360.946) * [-1358.379] (-1368.875) (-1362.963) (-1366.083) -- 0:00:40
862000 -- (-1364.845) [-1353.882] (-1367.096) (-1358.007) * [-1367.239] (-1358.640) (-1363.033) (-1375.129) -- 0:00:39
863000 -- (-1364.365) (-1362.575) (-1366.747) [-1360.288] * [-1358.405] (-1366.266) (-1365.608) (-1370.713) -- 0:00:39
864000 -- (-1368.277) (-1361.870) (-1367.143) [-1359.415] * (-1362.032) [-1360.441] (-1363.036) (-1369.494) -- 0:00:39
865000 -- [-1363.978] (-1366.004) (-1366.355) (-1364.469) * (-1360.873) (-1362.408) [-1370.311] (-1363.716) -- 0:00:38
Average standard deviation of split frequencies: 0.009140
866000 -- (-1366.473) (-1360.338) [-1357.776] (-1374.519) * (-1366.831) (-1369.589) [-1361.604] (-1360.302) -- 0:00:38
867000 -- (-1362.943) [-1360.762] (-1356.991) (-1364.435) * (-1366.311) [-1359.701] (-1362.745) (-1362.346) -- 0:00:38
868000 -- [-1364.542] (-1360.722) (-1364.107) (-1364.564) * (-1368.448) [-1365.754] (-1364.666) (-1367.141) -- 0:00:38
869000 -- (-1358.872) (-1365.137) [-1368.169] (-1362.095) * (-1354.863) (-1373.286) [-1358.164] (-1360.424) -- 0:00:37
870000 -- [-1361.273] (-1364.616) (-1362.478) (-1367.927) * (-1363.165) (-1360.660) [-1363.647] (-1357.717) -- 0:00:37
Average standard deviation of split frequencies: 0.009204
871000 -- [-1358.893] (-1360.213) (-1364.539) (-1359.415) * (-1364.787) (-1356.215) [-1371.061] (-1368.220) -- 0:00:37
872000 -- (-1361.115) (-1361.822) [-1364.959] (-1361.876) * (-1357.705) (-1369.635) (-1361.134) [-1357.413] -- 0:00:36
873000 -- (-1362.994) [-1357.214] (-1368.484) (-1363.673) * (-1368.000) (-1359.617) (-1363.391) [-1353.224] -- 0:00:36
874000 -- (-1364.839) [-1359.281] (-1366.934) (-1371.123) * [-1357.647] (-1357.645) (-1361.458) (-1357.248) -- 0:00:36
875000 -- (-1361.806) (-1362.105) (-1378.073) [-1356.579] * (-1368.184) (-1364.402) [-1362.362] (-1360.379) -- 0:00:36
Average standard deviation of split frequencies: 0.009335
876000 -- (-1365.697) (-1359.675) (-1357.114) [-1362.280] * (-1358.935) [-1360.591] (-1363.767) (-1359.598) -- 0:00:35
877000 -- (-1373.465) [-1359.962] (-1374.026) (-1356.278) * (-1371.246) [-1356.586] (-1360.777) (-1360.200) -- 0:00:35
878000 -- (-1368.799) (-1373.636) [-1357.789] (-1367.002) * [-1359.248] (-1358.817) (-1360.526) (-1362.559) -- 0:00:35
879000 -- (-1368.254) [-1360.145] (-1355.940) (-1363.321) * (-1364.939) [-1364.136] (-1357.422) (-1354.302) -- 0:00:34
880000 -- (-1371.134) (-1368.764) (-1360.317) [-1358.894] * (-1371.833) [-1362.343] (-1373.375) (-1370.080) -- 0:00:34
Average standard deviation of split frequencies: 0.009170
881000 -- (-1371.002) (-1360.377) [-1355.013] (-1365.183) * (-1360.788) (-1370.177) (-1361.878) [-1365.245] -- 0:00:34
882000 -- (-1359.712) [-1376.102] (-1366.503) (-1357.468) * (-1369.748) [-1362.160] (-1361.754) (-1362.981) -- 0:00:33
883000 -- [-1357.994] (-1356.495) (-1358.806) (-1360.957) * (-1369.390) (-1369.297) [-1360.311] (-1372.969) -- 0:00:33
884000 -- (-1363.298) (-1367.130) [-1363.939] (-1370.332) * (-1363.011) [-1368.361] (-1361.880) (-1367.000) -- 0:00:33
885000 -- (-1365.632) (-1362.047) (-1363.092) [-1366.893] * (-1358.398) (-1362.264) (-1362.328) [-1360.881] -- 0:00:33
Average standard deviation of split frequencies: 0.009112
886000 -- (-1361.474) [-1363.002] (-1362.897) (-1368.846) * (-1368.071) (-1361.702) (-1366.710) [-1365.356] -- 0:00:32
887000 -- (-1363.437) (-1365.268) [-1358.089] (-1358.078) * (-1359.370) (-1363.862) [-1367.331] (-1359.513) -- 0:00:32
888000 -- (-1370.338) [-1365.480] (-1374.597) (-1355.638) * [-1362.171] (-1361.744) (-1361.018) (-1362.204) -- 0:00:32
889000 -- (-1369.678) [-1360.105] (-1364.083) (-1364.719) * (-1359.973) [-1361.652] (-1363.060) (-1361.643) -- 0:00:31
890000 -- (-1362.626) (-1356.353) [-1359.301] (-1356.937) * (-1366.619) [-1363.733] (-1370.332) (-1355.531) -- 0:00:31
Average standard deviation of split frequencies: 0.008799
891000 -- (-1365.931) (-1359.799) (-1360.632) [-1358.047] * (-1365.070) (-1366.017) [-1353.328] (-1357.501) -- 0:00:31
892000 -- (-1361.196) [-1359.031] (-1364.896) (-1367.653) * [-1359.921] (-1370.347) (-1362.663) (-1361.112) -- 0:00:31
893000 -- (-1368.309) [-1365.036] (-1354.848) (-1365.090) * (-1366.129) (-1365.666) (-1362.710) [-1365.016] -- 0:00:30
894000 -- (-1369.794) (-1372.979) [-1359.478] (-1361.625) * [-1372.478] (-1366.352) (-1358.187) (-1370.711) -- 0:00:30
895000 -- [-1352.343] (-1364.476) (-1356.496) (-1369.060) * [-1368.138] (-1364.274) (-1367.133) (-1357.739) -- 0:00:30
Average standard deviation of split frequencies: 0.008747
896000 -- (-1365.001) [-1369.403] (-1368.907) (-1368.242) * [-1363.331] (-1357.300) (-1361.079) (-1368.439) -- 0:00:29
897000 -- (-1365.853) [-1357.368] (-1365.237) (-1358.476) * [-1363.489] (-1365.955) (-1354.837) (-1353.388) -- 0:00:29
898000 -- (-1359.214) (-1367.208) [-1359.143] (-1370.976) * (-1361.512) (-1374.415) (-1365.448) [-1361.665] -- 0:00:29
899000 -- (-1367.333) (-1362.131) (-1357.500) [-1353.775] * (-1372.144) [-1357.582] (-1363.402) (-1363.516) -- 0:00:29
900000 -- (-1356.723) [-1363.498] (-1360.846) (-1364.357) * (-1373.201) [-1358.921] (-1364.061) (-1359.713) -- 0:00:28
Average standard deviation of split frequencies: 0.008920
901000 -- (-1362.443) (-1361.828) [-1356.045] (-1363.389) * (-1375.822) (-1360.001) (-1369.193) [-1359.781] -- 0:00:28
902000 -- (-1363.608) [-1361.181] (-1370.715) (-1359.833) * (-1355.009) (-1365.779) (-1360.482) [-1359.439] -- 0:00:28
903000 -- (-1355.444) [-1369.533] (-1362.490) (-1366.337) * [-1359.299] (-1370.671) (-1358.350) (-1362.435) -- 0:00:27
904000 -- (-1367.578) (-1368.241) (-1361.651) [-1358.054] * (-1357.265) (-1368.348) (-1371.827) [-1361.635] -- 0:00:27
905000 -- (-1367.523) (-1368.595) (-1360.782) [-1359.620] * (-1368.224) [-1358.274] (-1370.304) (-1370.388) -- 0:00:27
Average standard deviation of split frequencies: 0.008975
906000 -- (-1365.015) [-1357.821] (-1366.401) (-1361.536) * (-1367.293) (-1364.864) [-1359.000] (-1375.411) -- 0:00:27
907000 -- (-1376.044) (-1362.445) (-1373.027) [-1363.353] * (-1360.156) [-1360.186] (-1366.767) (-1367.600) -- 0:00:26
908000 -- [-1369.170] (-1360.397) (-1370.496) (-1361.762) * [-1359.321] (-1365.280) (-1358.485) (-1366.901) -- 0:00:26
909000 -- (-1367.062) (-1362.872) [-1358.621] (-1372.692) * (-1369.275) (-1366.586) [-1352.809] (-1362.604) -- 0:00:26
910000 -- (-1367.124) (-1356.569) [-1367.132] (-1359.977) * (-1368.869) [-1364.168] (-1368.796) (-1362.287) -- 0:00:25
Average standard deviation of split frequencies: 0.009059
911000 -- (-1363.611) [-1362.214] (-1377.028) (-1361.644) * (-1360.416) (-1370.766) (-1363.061) [-1360.154] -- 0:00:25
912000 -- [-1358.678] (-1362.088) (-1358.773) (-1370.724) * (-1367.510) (-1363.670) (-1359.490) [-1358.621] -- 0:00:25
913000 -- [-1357.346] (-1366.622) (-1366.488) (-1356.434) * (-1357.752) (-1360.200) (-1360.062) [-1354.733] -- 0:00:25
914000 -- (-1360.833) (-1367.963) (-1370.296) [-1354.977] * (-1368.204) [-1360.350] (-1362.224) (-1373.132) -- 0:00:24
915000 -- [-1360.235] (-1373.813) (-1365.173) (-1369.160) * (-1365.764) [-1372.611] (-1367.980) (-1359.358) -- 0:00:24
Average standard deviation of split frequencies: 0.008899
916000 -- [-1358.578] (-1371.304) (-1363.520) (-1362.401) * (-1362.839) (-1361.403) [-1353.691] (-1362.671) -- 0:00:24
917000 -- [-1355.880] (-1364.231) (-1364.849) (-1374.710) * (-1362.841) [-1357.108] (-1361.431) (-1368.045) -- 0:00:23
918000 -- (-1361.001) (-1364.800) (-1357.945) [-1360.531] * (-1356.296) (-1364.641) [-1357.970] (-1372.496) -- 0:00:23
919000 -- [-1367.925] (-1364.277) (-1359.520) (-1356.281) * (-1362.021) (-1376.500) [-1364.873] (-1363.187) -- 0:00:23
920000 -- [-1358.631] (-1369.282) (-1360.703) (-1357.926) * (-1371.122) (-1372.359) [-1360.386] (-1370.906) -- 0:00:23
Average standard deviation of split frequencies: 0.008683
921000 -- (-1359.607) [-1352.828] (-1368.167) (-1360.952) * [-1364.724] (-1361.844) (-1366.155) (-1366.984) -- 0:00:22
922000 -- (-1356.343) (-1359.554) (-1372.281) [-1357.206] * (-1366.131) (-1361.599) [-1365.108] (-1363.644) -- 0:00:22
923000 -- (-1377.080) (-1367.663) (-1359.747) [-1361.834] * (-1363.583) (-1361.208) [-1361.689] (-1360.594) -- 0:00:22
924000 -- (-1365.800) (-1369.221) [-1361.504] (-1362.077) * (-1367.917) (-1366.041) [-1357.147] (-1354.532) -- 0:00:21
925000 -- (-1357.464) [-1365.296] (-1358.644) (-1365.060) * (-1370.374) [-1363.983] (-1359.932) (-1360.836) -- 0:00:21
Average standard deviation of split frequencies: 0.008718
926000 -- [-1362.752] (-1359.019) (-1353.688) (-1373.902) * (-1367.438) (-1365.301) [-1363.815] (-1365.382) -- 0:00:21
927000 -- (-1366.372) (-1368.552) [-1370.624] (-1362.884) * (-1367.410) [-1355.801] (-1362.341) (-1360.656) -- 0:00:21
928000 -- (-1361.628) (-1359.401) (-1361.532) [-1359.064] * [-1369.354] (-1360.496) (-1373.346) (-1362.522) -- 0:00:20
929000 -- (-1363.265) [-1360.684] (-1364.126) (-1362.280) * (-1373.261) [-1362.712] (-1363.572) (-1356.345) -- 0:00:20
930000 -- (-1367.290) (-1356.759) [-1364.715] (-1358.495) * (-1363.976) (-1367.152) [-1359.433] (-1362.535) -- 0:00:20
Average standard deviation of split frequencies: 0.008653
931000 -- (-1362.359) (-1364.667) [-1354.611] (-1360.849) * (-1362.601) [-1358.539] (-1368.347) (-1363.620) -- 0:00:19
932000 -- (-1367.095) (-1362.756) (-1364.426) [-1354.995] * (-1360.263) [-1365.148] (-1361.696) (-1357.787) -- 0:00:19
933000 -- (-1364.730) (-1363.333) [-1362.435] (-1367.879) * (-1366.294) (-1364.210) (-1361.722) [-1362.048] -- 0:00:19
934000 -- (-1362.525) [-1364.785] (-1367.447) (-1364.898) * [-1363.717] (-1364.968) (-1360.402) (-1376.383) -- 0:00:19
935000 -- (-1365.040) (-1361.583) (-1355.595) [-1360.260] * (-1354.331) (-1369.573) [-1363.638] (-1355.750) -- 0:00:18
Average standard deviation of split frequencies: 0.008520
936000 -- (-1368.064) [-1357.796] (-1362.685) (-1363.671) * (-1361.474) (-1373.331) (-1367.382) [-1362.213] -- 0:00:18
937000 -- (-1366.808) (-1366.267) (-1374.268) [-1367.347] * (-1356.886) (-1365.319) (-1369.802) [-1360.070] -- 0:00:18
938000 -- (-1364.044) (-1366.712) [-1360.481] (-1357.947) * (-1361.524) (-1368.263) [-1360.485] (-1360.783) -- 0:00:17
939000 -- [-1361.167] (-1374.814) (-1363.623) (-1366.821) * (-1363.636) [-1354.937] (-1358.240) (-1365.151) -- 0:00:17
940000 -- [-1361.014] (-1361.851) (-1363.220) (-1362.090) * (-1362.309) (-1363.713) [-1364.854] (-1364.530) -- 0:00:17
Average standard deviation of split frequencies: 0.008645
941000 -- (-1364.667) (-1374.107) [-1372.448] (-1363.844) * [-1365.570] (-1363.260) (-1359.786) (-1368.076) -- 0:00:16
942000 -- (-1369.803) (-1358.498) [-1365.226] (-1365.302) * (-1364.250) (-1366.856) [-1363.322] (-1374.553) -- 0:00:16
943000 -- (-1366.833) (-1355.285) (-1366.288) [-1355.064] * (-1356.366) (-1362.900) [-1357.466] (-1364.059) -- 0:00:16
944000 -- (-1366.225) (-1354.383) (-1361.674) [-1361.562] * (-1362.253) [-1359.531] (-1363.386) (-1360.064) -- 0:00:16
945000 -- (-1362.999) [-1362.678] (-1362.314) (-1364.211) * (-1357.242) (-1363.889) (-1358.816) [-1361.665] -- 0:00:15
Average standard deviation of split frequencies: 0.008471
946000 -- [-1363.085] (-1362.544) (-1368.152) (-1365.020) * (-1356.297) [-1367.804] (-1363.336) (-1363.172) -- 0:00:15
947000 -- (-1365.980) (-1364.989) [-1359.683] (-1363.949) * (-1368.265) [-1364.871] (-1362.216) (-1366.344) -- 0:00:15
948000 -- (-1361.690) (-1358.706) [-1355.500] (-1375.415) * [-1362.906] (-1369.377) (-1362.691) (-1361.993) -- 0:00:14
949000 -- (-1358.423) [-1352.787] (-1370.664) (-1370.774) * (-1373.969) (-1362.641) [-1356.361] (-1366.967) -- 0:00:14
950000 -- (-1362.710) (-1359.671) [-1359.178] (-1356.779) * (-1352.295) (-1363.823) (-1359.242) [-1363.785] -- 0:00:14
Average standard deviation of split frequencies: 0.008182
951000 -- (-1363.421) (-1363.295) [-1362.974] (-1360.220) * (-1364.167) [-1357.163] (-1365.992) (-1360.516) -- 0:00:14
952000 -- (-1367.354) (-1360.654) (-1359.629) [-1365.795] * (-1365.353) (-1366.726) (-1362.563) [-1364.923] -- 0:00:13
953000 -- (-1361.308) (-1381.734) [-1371.761] (-1355.530) * (-1359.983) (-1361.387) (-1363.958) [-1365.837] -- 0:00:13
954000 -- (-1356.183) [-1373.363] (-1367.978) (-1369.737) * (-1358.443) (-1371.192) (-1362.767) [-1360.441] -- 0:00:13
955000 -- (-1364.349) (-1359.922) (-1363.750) [-1361.135] * [-1360.578] (-1360.761) (-1362.238) (-1360.162) -- 0:00:12
Average standard deviation of split frequencies: 0.008362
956000 -- [-1358.141] (-1358.060) (-1361.541) (-1368.197) * (-1368.243) (-1371.938) (-1362.817) [-1367.412] -- 0:00:12
957000 -- [-1361.877] (-1366.372) (-1358.248) (-1366.839) * (-1362.494) [-1352.262] (-1364.731) (-1360.646) -- 0:00:12
958000 -- (-1368.982) (-1363.777) [-1363.701] (-1360.137) * (-1358.180) (-1364.578) [-1367.228] (-1367.138) -- 0:00:12
959000 -- (-1361.340) (-1362.449) [-1358.127] (-1364.365) * (-1356.393) (-1364.732) [-1370.219] (-1361.146) -- 0:00:11
960000 -- (-1361.304) (-1358.004) [-1370.057] (-1364.892) * (-1356.611) [-1358.078] (-1364.822) (-1373.261) -- 0:00:11
Average standard deviation of split frequencies: 0.008322
961000 -- (-1361.831) (-1364.097) [-1367.220] (-1366.395) * (-1375.692) (-1363.501) [-1364.092] (-1362.952) -- 0:00:11
962000 -- (-1365.522) [-1360.157] (-1365.879) (-1369.874) * (-1372.545) (-1363.689) [-1358.292] (-1359.738) -- 0:00:10
963000 -- (-1365.167) [-1359.132] (-1363.558) (-1359.779) * (-1358.081) [-1358.972] (-1363.950) (-1363.488) -- 0:00:10
964000 -- (-1359.786) (-1358.879) [-1359.235] (-1365.455) * (-1358.022) (-1368.898) (-1360.274) [-1363.675] -- 0:00:10
965000 -- (-1365.854) (-1360.642) (-1362.800) [-1367.871] * (-1362.109) (-1367.670) [-1366.306] (-1371.561) -- 0:00:10
Average standard deviation of split frequencies: 0.008398
966000 -- (-1364.869) (-1363.314) [-1356.025] (-1365.105) * [-1357.766] (-1375.171) (-1360.416) (-1362.300) -- 0:00:09
967000 -- (-1367.860) (-1358.881) (-1366.611) [-1362.677] * [-1355.691] (-1365.666) (-1355.854) (-1360.529) -- 0:00:09
968000 -- (-1360.888) (-1356.810) [-1355.174] (-1364.004) * [-1364.347] (-1359.578) (-1366.895) (-1366.345) -- 0:00:09
969000 -- [-1359.896] (-1376.963) (-1364.834) (-1362.698) * (-1361.934) (-1360.149) (-1366.062) [-1366.312] -- 0:00:08
970000 -- (-1370.306) [-1361.868] (-1357.675) (-1366.942) * (-1374.531) [-1364.130] (-1357.950) (-1367.805) -- 0:00:08
Average standard deviation of split frequencies: 0.008175
971000 -- (-1362.376) (-1361.508) (-1368.510) [-1362.129] * (-1359.957) [-1358.350] (-1364.767) (-1370.126) -- 0:00:08
972000 -- [-1358.806] (-1356.031) (-1367.362) (-1363.453) * [-1362.960] (-1357.726) (-1365.066) (-1359.708) -- 0:00:08
973000 -- (-1362.264) [-1361.156] (-1368.891) (-1372.417) * (-1361.103) [-1360.731] (-1359.628) (-1366.848) -- 0:00:07
974000 -- (-1365.041) (-1361.149) (-1368.159) [-1371.528] * (-1362.673) (-1364.942) [-1363.370] (-1373.885) -- 0:00:07
975000 -- (-1369.090) [-1366.712] (-1359.016) (-1364.596) * (-1375.282) [-1362.115] (-1361.723) (-1359.369) -- 0:00:07
Average standard deviation of split frequencies: 0.008291
976000 -- (-1359.692) (-1359.585) (-1362.732) [-1355.616] * [-1361.308] (-1370.662) (-1361.354) (-1372.024) -- 0:00:06
977000 -- [-1357.815] (-1360.996) (-1358.815) (-1358.821) * [-1355.617] (-1359.184) (-1366.882) (-1360.396) -- 0:00:06
978000 -- (-1372.766) (-1354.474) (-1365.483) [-1356.986] * (-1363.220) (-1368.995) (-1362.536) [-1360.230] -- 0:00:06
979000 -- (-1362.609) [-1359.077] (-1356.875) (-1365.055) * (-1358.611) (-1357.886) [-1353.960] (-1364.177) -- 0:00:06
980000 -- [-1359.781] (-1369.718) (-1361.227) (-1363.543) * [-1356.159] (-1370.774) (-1364.803) (-1363.587) -- 0:00:05
Average standard deviation of split frequencies: 0.008132
981000 -- (-1365.067) [-1360.876] (-1364.764) (-1369.573) * (-1361.941) (-1360.373) (-1360.169) [-1358.493] -- 0:00:05
982000 -- (-1363.497) (-1362.852) [-1357.443] (-1359.666) * (-1363.511) [-1354.771] (-1370.512) (-1362.716) -- 0:00:05
983000 -- [-1361.295] (-1367.330) (-1360.634) (-1357.071) * (-1364.006) (-1375.046) [-1358.485] (-1362.575) -- 0:00:04
984000 -- (-1354.405) (-1366.148) [-1360.490] (-1359.233) * (-1371.456) (-1369.463) [-1366.003] (-1373.354) -- 0:00:04
985000 -- (-1366.847) [-1362.905] (-1359.498) (-1362.619) * [-1352.656] (-1363.915) (-1363.058) (-1368.581) -- 0:00:04
Average standard deviation of split frequencies: 0.008207
986000 -- (-1358.159) (-1358.747) [-1365.505] (-1360.424) * [-1364.825] (-1358.870) (-1364.424) (-1368.218) -- 0:00:04
987000 -- [-1357.581] (-1366.922) (-1367.414) (-1353.009) * (-1360.217) (-1359.018) (-1364.495) [-1359.698] -- 0:00:03
988000 -- (-1360.605) (-1362.388) [-1361.768] (-1358.630) * (-1367.761) [-1366.418] (-1367.652) (-1352.241) -- 0:00:03
989000 -- (-1370.883) [-1362.253] (-1355.643) (-1365.757) * (-1368.107) (-1357.246) (-1371.055) [-1356.129] -- 0:00:03
990000 -- (-1366.994) (-1360.343) [-1356.395] (-1369.169) * (-1358.641) (-1363.658) (-1361.103) [-1359.793] -- 0:00:02
Average standard deviation of split frequencies: 0.008486
991000 -- (-1368.002) [-1363.753] (-1355.147) (-1367.196) * [-1358.213] (-1365.024) (-1370.951) (-1371.005) -- 0:00:02
992000 -- (-1355.295) [-1360.147] (-1365.181) (-1363.456) * [-1354.155] (-1365.513) (-1366.512) (-1368.417) -- 0:00:02
993000 -- [-1354.266] (-1364.409) (-1367.140) (-1360.002) * (-1372.803) (-1369.722) [-1365.558] (-1368.556) -- 0:00:02
994000 -- (-1353.001) (-1360.918) (-1364.695) [-1357.225] * [-1363.492] (-1375.606) (-1362.510) (-1375.766) -- 0:00:01
995000 -- (-1359.335) (-1356.589) [-1366.854] (-1368.037) * (-1367.121) [-1362.149] (-1372.026) (-1361.772) -- 0:00:01
Average standard deviation of split frequencies: 0.008519
996000 -- (-1363.111) (-1367.278) (-1362.141) [-1353.735] * (-1367.896) (-1370.984) [-1357.954] (-1370.251) -- 0:00:01
997000 -- (-1366.201) [-1356.496] (-1362.324) (-1356.899) * [-1356.793] (-1361.963) (-1367.668) (-1366.178) -- 0:00:00
998000 -- (-1369.481) (-1361.340) [-1364.342] (-1366.072) * (-1363.809) (-1369.859) [-1357.592] (-1357.384) -- 0:00:00
999000 -- (-1360.308) (-1364.971) [-1360.019] (-1364.672) * [-1356.701] (-1362.554) (-1366.714) (-1367.125) -- 0:00:00
1000000 -- [-1367.281] (-1364.307) (-1366.017) (-1366.653) * (-1358.392) (-1363.291) (-1367.371) [-1365.396] -- 0:00:00
Average standard deviation of split frequencies: 0.008440
Analysis completed in 4 mins 48 seconds
Analysis used 287.06 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -1349.09
Likelihood of best state for "cold" chain of run 2 was -1349.09
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
61.7 % ( 48 %) Dirichlet(Revmat{all})
77.1 % ( 66 %) Slider(Revmat{all})
27.6 % ( 18 %) Dirichlet(Pi{all})
30.1 % ( 28 %) Slider(Pi{all})
71.2 % ( 50 %) Multiplier(Alpha{1,2})
63.5 % ( 41 %) Multiplier(Alpha{3})
73.1 % ( 46 %) Slider(Pinvar{all})
52.7 % ( 49 %) ExtSPR(Tau{all},V{all})
44.6 % ( 49 %) ExtTBR(Tau{all},V{all})
57.1 % ( 61 %) NNI(Tau{all},V{all})
56.4 % ( 61 %) ParsSPR(Tau{all},V{all})
27.1 % ( 28 %) Multiplier(V{all})
63.7 % ( 65 %) Nodeslider(V{all})
26.0 % ( 28 %) 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 % ( 57 %) Dirichlet(Revmat{all})
77.4 % ( 61 %) Slider(Revmat{all})
27.8 % ( 27 %) Dirichlet(Pi{all})
29.6 % ( 23 %) Slider(Pi{all})
71.8 % ( 48 %) Multiplier(Alpha{1,2})
63.3 % ( 28 %) Multiplier(Alpha{3})
73.0 % ( 47 %) Slider(Pinvar{all})
52.3 % ( 52 %) ExtSPR(Tau{all},V{all})
44.7 % ( 43 %) ExtTBR(Tau{all},V{all})
57.1 % ( 61 %) NNI(Tau{all},V{all})
56.4 % ( 53 %) ParsSPR(Tau{all},V{all})
27.0 % ( 24 %) Multiplier(V{all})
63.8 % ( 62 %) Nodeslider(V{all})
26.0 % ( 28 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.75 0.54 0.38
2 | 166625 0.77 0.57
3 | 166383 166817 0.78
4 | 166605 166221 167349
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.75 0.54 0.37
2 | 167108 0.77 0.57
3 | 166319 166000 0.78
4 | 167077 166724 166772
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)
+------------------------------------------------------------+ -1358.70
| 1 |
| 2 1 2 |
| 2 2 |
| 1 2 2 2|
| 2 2 1 |
| 2 12 22 2 1 * |
| 121 2 1 221 * 21 1 * |
| 2 1 1 1 1 22 111 11 11112 2 1 1|
|1 21 12 1 2 2 1 2 2 |
| 1 2 2 1 1 1 * 1 2 12 2 1 |
| 1 1 221 2 11 2 21 2 2 2 2 22 1 2 |
| 1 2 1 1 2 2 2 1 1 |
| 2 2 1 1 1 |
| 1 2 |
|22 1 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -1363.28
^ ^
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 -1355.59 -1369.94
2 -1356.21 -1371.19
--------------------------------------
TOTAL -1355.85 -1370.75
--------------------------------------
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} 0.173214 0.000854 0.118697 0.230629 0.170277 1370.07 1435.53 1.000
r(A<->C){all} 0.033523 0.000690 0.000001 0.085633 0.027597 760.31 805.78 1.000
r(A<->G){all} 0.250811 0.003923 0.132474 0.377562 0.245840 495.80 678.35 1.000
r(A<->T){all} 0.109305 0.001065 0.049761 0.174581 0.105198 785.51 883.27 1.000
r(C<->G){all} 0.090191 0.002136 0.014197 0.182510 0.083084 553.76 607.24 1.000
r(C<->T){all} 0.443940 0.004775 0.301470 0.567849 0.443563 604.50 644.84 1.000
r(G<->T){all} 0.072231 0.001003 0.014619 0.133879 0.068290 597.32 640.46 1.000
pi(A){all} 0.250694 0.000254 0.219976 0.282238 0.250318 1153.18 1177.19 1.000
pi(C){all} 0.193129 0.000203 0.165768 0.221508 0.192914 690.12 894.99 1.000
pi(G){all} 0.170397 0.000200 0.141676 0.196262 0.170391 1283.54 1296.84 1.001
pi(T){all} 0.385780 0.000305 0.353005 0.421233 0.385481 1099.10 1113.93 1.000
alpha{1,2} 0.126585 0.016975 0.000054 0.338406 0.096793 1032.25 1068.52 1.000
alpha{3} 2.224599 1.730313 0.418932 5.003384 1.916790 1169.71 1291.45 1.000
pinvar{all} 0.471344 0.017307 0.199274 0.712017 0.486558 1012.78 1027.82 1.001
------------------------------------------------------------------------------------------------------
* 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 -- C1
2 -- C10
3 -- C2
4 -- C3
5 -- C4
6 -- C5
7 -- C6
8 -- C7
9 -- C8
10 -- C9
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 -- .......**.
----------------
Summary statistics for informative taxon bipartitions
(saved to file "/data/mrbayes_input.nex.tstat"):
ID #obs Probab. Sd(s)+ Min(s) Max(s) Nruns
----------------------------------------------------------------
11 3002 1.000000 0.000000 1.000000 1.000000 2
12 2980 0.992672 0.001884 0.991339 0.994004 2
13 2971 0.989674 0.000471 0.989340 0.990007 2
14 374 0.124584 0.002827 0.122585 0.126582 2
15 366 0.121919 0.008480 0.115923 0.127915 2
16 355 0.118254 0.002355 0.116589 0.119920 2
17 353 0.117588 0.001413 0.116589 0.118588 2
18 351 0.116922 0.008951 0.110593 0.123251 2
19 349 0.116256 0.014604 0.105929 0.126582 2
20 347 0.115590 0.008009 0.109927 0.121252 2
21 343 0.114257 0.004240 0.111259 0.117255 2
22 343 0.114257 0.022141 0.098601 0.129913 2
23 337 0.112258 0.023083 0.095936 0.128581 2
24 337 0.112258 0.007066 0.107262 0.117255 2
25 336 0.111925 0.028265 0.091939 0.131912 2
26 327 0.108927 0.002355 0.107262 0.110593 2
27 327 0.108927 0.003298 0.106596 0.111259 2
28 325 0.108261 0.001413 0.107262 0.109260 2
29 321 0.106929 0.006124 0.102598 0.111259 2
30 320 0.106596 0.009422 0.099933 0.113258 2
31 317 0.105596 0.015546 0.094604 0.116589 2
32 309 0.102931 0.008009 0.097268 0.108594 2
33 290 0.096602 0.010364 0.089274 0.103931 2
34 282 0.093937 0.012248 0.085276 0.102598 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] 0.001487 0.000002 0.000000 0.004339 0.001039 1.000 2
length{all}[2] 0.024488 0.000075 0.009226 0.041356 0.023327 1.000 2
length{all}[3] 0.001448 0.000002 0.000000 0.004366 0.001023 1.000 2
length{all}[4] 0.002081 0.000004 0.000001 0.006306 0.001429 1.000 2
length{all}[5] 0.001459 0.000002 0.000001 0.004271 0.001022 1.000 2
length{all}[6] 0.010211 0.000019 0.003225 0.019401 0.009591 1.000 2
length{all}[7] 0.040163 0.000142 0.018249 0.062987 0.038782 1.000 2
length{all}[8] 0.001506 0.000002 0.000000 0.004663 0.000988 1.000 2
length{all}[9] 0.002930 0.000005 0.000047 0.007259 0.002422 1.001 2
length{all}[10] 0.002920 0.000005 0.000035 0.007018 0.002396 1.000 2
length{all}[11] 0.045559 0.000175 0.022086 0.072175 0.043861 1.000 2
length{all}[12] 0.015565 0.000047 0.003321 0.029058 0.014685 1.000 2
length{all}[13] 0.017809 0.000064 0.004174 0.033714 0.016638 1.000 2
length{all}[14] 0.001441 0.000002 0.000002 0.004254 0.000962 0.998 2
length{all}[15] 0.001429 0.000002 0.000001 0.004346 0.001005 1.021 2
length{all}[16] 0.001388 0.000002 0.000000 0.004008 0.000966 0.997 2
length{all}[17] 0.001398 0.000002 0.000001 0.004337 0.000905 0.997 2
length{all}[18] 0.001421 0.000002 0.000005 0.004168 0.001016 1.003 2
length{all}[19] 0.001416 0.000002 0.000006 0.004248 0.000968 0.998 2
length{all}[20] 0.001518 0.000002 0.000002 0.004424 0.001111 1.003 2
length{all}[21] 0.001412 0.000002 0.000006 0.004369 0.000969 0.997 2
length{all}[22] 0.001590 0.000003 0.000000 0.004253 0.001128 1.000 2
length{all}[23] 0.001392 0.000002 0.000010 0.004337 0.000949 0.998 2
length{all}[24] 0.001621 0.000002 0.000001 0.004194 0.001229 0.997 2
length{all}[25] 0.001460 0.000002 0.000001 0.004405 0.000984 1.000 2
length{all}[26] 0.001398 0.000002 0.000002 0.003894 0.001044 0.998 2
length{all}[27] 0.001607 0.000003 0.000003 0.005342 0.001139 1.000 2
length{all}[28] 0.001379 0.000002 0.000007 0.004246 0.000905 0.999 2
length{all}[29] 0.001455 0.000002 0.000007 0.004265 0.001018 0.997 2
length{all}[30] 0.001541 0.000003 0.000005 0.004338 0.001108 0.997 2
length{all}[31] 0.001542 0.000003 0.000006 0.004576 0.001082 0.998 2
length{all}[32] 0.001477 0.000002 0.000006 0.003822 0.001026 1.000 2
length{all}[33] 0.001407 0.000002 0.000002 0.004026 0.001028 0.997 2
length{all}[34] 0.001411 0.000002 0.000000 0.003551 0.001022 1.026 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 = 0.008440
Maximum standard deviation of split frequencies = 0.028265
Average PSRF for parameter values (excluding NA and >10.0) = 1.001
Maximum PSRF for parameter values = 1.026
Clade credibility values:
/----------------------------------------------------------------------- C1 (1)
|
|----------------------------------------------------------------------- C2 (3)
|
|----------------------------------------------------------------------- C4 (5)
|
|----------------------------------------------------------------------- C7 (8)
|
+----------------------------------------------------------------------- C8 (9)
|
|----------------------------------------------------------------------- C9 (10)
|
| /----------------------------------------------------- C10 (2)
| |
| | /------------------ C3 (4)
\--------99-------+ /-------99-------+
| | \------------------ C5 (6)
\-------100-------+
\----------------------------------- C6 (7)
Phylogram (based on average branch lengths):
/- C1 (1)
|
|- C2 (3)
|
|- C4 (5)
|
|- C7 (8)
|
+-- C8 (9)
|
|-- C9 (10)
|
| /----------------- C10 (2)
| |
| | /- C3 (4)
\----------+ /------------+
| | \------- C5 (6)
\-------------------------------+
\----------------------------- C6 (7)
|-------------| 0.020 expected changes per site
Calculating tree probabilities...
Credible sets of trees (950 trees sampled):
50 % credible set contains 292 trees
90 % credible set contains 712 trees
95 % credible set contains 800 trees
99 % credible set contains 920 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 Wed Oct 26 22:52:53 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/B05f_NS3d_ABN10852_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result--
CLUSTAL FORMAT for T-COFFEE Version_12.00.7fb08c2 [http://www.tcoffee.org] [MODE: ], CPU=0.05 sec, SCORE=1000, Nseq=10, Len=227
C1 MAFSASLFRTKTVHTEDAFCPRSAIQAEQPPNIIDCIPVAGYEAALITNA
C2 MAFSASLFRTKTVHTEDAFCPRSAIQAEQPPNIIDCIPVAGYEAALITNA
C3 MAFSASLFRTKTVHTEDALCPRSAIQAEQPPNIIDCIPVAGYEAALITNA
C4 MAFSASLFRTKTVHTEDAFCPRSAIQAEQPPNIIDCIPVAGYEAALITNA
C5 MAFSASLFRTKTVHTEDALCPRSAIQAEQPPNIIDCIPVAGYEAALITNA
C6 MAFSASLFRTKTVHTEDALCPRSAIQAEQPPNIIDCIPVAGYEAALITNA
C7 MAFSASLFRTKTVHTEDAFCPRSAIQAEQPPNIIDCIPVAGYEAALITNA
C8 MAFSASLFRTKTVHTEDAFCPRSTIQAEQPPNIIDCIPVAGYEAALITNA
C9 MAFSASLFRTKTVHTEDAFCPRSAIQAEQPPNIIDCIPVAGYEAALITNA
C10 MAFSASLFRTKTVHTEDALCPRSAIQAEEPPNIIDCIPVAGYEAALVTNA
******************:****:****:*****************:***
C1 LFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALL
C2 LFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALL
C3 LFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALL
C4 LFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALL
C5 LFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALL
C6 LFLLVLFVFNPLTCRGNWIKAILFYSLLLYNMILAIFLVIDTQHFVSALL
C7 LFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALL
C8 LFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALL
C9 LFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALL
C10 LFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVIDTQHFVSALL
**************:************************:**********
C1 LAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMN
C2 LAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMN
C3 LAYVVTFLILWTADRIRLSCAVGSVLPFVDMRSAYIRVDNGNSSVVVPMN
C4 LAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMN
C5 LAYVVTFLILWTADRIRLSCAVGSVLPFVDMRSAYIRVDNGNSSVVVPMN
C6 LAYVVTFLTLWTVDRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMN
C7 LAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMN
C8 LAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMN
C9 LAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMN
C10 LAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSAYIRVDNGNSSVVVPMN
******** ***.********************:****************
C1 HTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLG
C2 HTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLG
C3 HTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLG
C4 HTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLG
C5 HTKHWFIRNFEQSCHCENCFYIHSSSYVYYTFISRLKISILVSVCDFSLG
C6 HTKHWFIRNFEQSCHCENCFYIHSSSYVQSTFISRLKISILVSVCDFSLG
C7 HTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLG
C8 HTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLG
C9 HTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLG
C10 HTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLG
**************************** ******* ************
C1 GNVSTVFVPSSDKTVPLHIIAPSKLYV
C2 GNVSTVFVPSSDKTVPLHIIAPSKLYV
C3 DNVSTVFVPSSDKTVPLHIIAPSKLYV
C4 GNVSTVFVPSSDKTVPLHIIAPSKLYV
C5 DNVSTVFVPSSDITVPLHIIAPSKLYV
C6 DNVSTVFVPSSDKTVPLHIIAPSKLYV
C7 GNVSTVFVPSSDKTVPLHIIAPSKLYV
C8 GNVSTVFVPSSDKTVPLHIIAPSKLYV
C9 GNVSTVFVPSSDKTVPLHIIAPSKLYV
C10 GNVSTVFVPSSDKTVPLHIIAPSKLYV
.*********** **************
-- Starting log on Wed Oct 26 23:31:02 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/B05f_NS3d_ABN10852_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result/original_alignment/codeml,B05f_NS3d_ABN10852_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.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 C1 681 sites
reading seq# 2 C2 681 sites
reading seq# 3 C3 681 sites
reading seq# 4 C4 681 sites
reading seq# 5 C5 681 sites
reading seq# 6 C6 681 sites
reading seq# 7 C7 681 sites
reading seq# 8 C8 681 sites
reading seq# 9 C9 681 sites
reading seq#10 C10 681 sitesns = 10 ls = 681
Reading sequences, sequential format..
Reading seq # 1: C1
Reading seq # 2: C2
Reading seq # 3: C3
Reading seq # 4: C4
Reading seq # 5: C5
Reading seq # 6: C6
Reading seq # 7: C7
Reading seq # 8: C8
Reading seq # 9: C9
Reading seq #10: C10
Sequences read..
Counting site patterns.. 0:00
Compressing, 110 patterns at 227 / 227 sites (100.0%), 0:00
Collecting fpatt[] & pose[], 110 patterns at 227 / 227 sites (100.0%), 0:00
Counting codons..
360 bytes for distance
107360 bytes for conP
9680 bytes for fhK
5000000 bytes for space
Model 1: NearlyNeutral
TREE # 1
(1, 2, 4, 7, 8, 9, (10, ((3, 5), 6))); MP score: 75
214720 bytes for conP, adjusted
0.026875 0.039650 0.024366 0.032882 0.046669 0.085225 0.106338 0.054242 0.066950 0.109274 0.044942 0.092768 0.037563 0.300000 0.822059 0.476792
ntime & nrate & np: 13 2 16
Bounds (np=16):
0.000004 0.000004 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 999.000000 0.999990 1.000000
Qfactor_NS = 11.086962
np = 16
lnL0 = -1466.744670
Iterating by ming2
Initial: fx= 1466.744670
x= 0.02687 0.03965 0.02437 0.03288 0.04667 0.08522 0.10634 0.05424 0.06695 0.10927 0.04494 0.09277 0.03756 0.30000 0.82206 0.47679
1 h-m-p 0.0000 0.0001 668.4711 ++ 1419.722946 m 0.0001 21 | 1/16
2 h-m-p 0.0000 0.0000 2256.5407 ++ 1416.209196 m 0.0000 40 | 2/16
3 h-m-p 0.0000 0.0000 2116.1539 ++ 1411.024962 m 0.0000 59 | 3/16
4 h-m-p 0.0000 0.0000 7262.2227 ++ 1407.089192 m 0.0000 78 | 4/16
5 h-m-p 0.0000 0.0000 1808.1202 ++ 1403.449569 m 0.0000 97 | 5/16
6 h-m-p 0.0001 0.0016 127.7536 +++ 1393.240327 m 0.0016 117 | 6/16
7 h-m-p 0.0003 0.0015 44.0398 YCYCCC 1390.992037 5 0.0007 144 | 6/16
8 h-m-p 0.0002 0.0012 122.8902 +YYCYCC 1381.966426 5 0.0009 171 | 6/16
9 h-m-p 0.0000 0.0001 1277.8561 +YCYYYCYCCC 1370.891882 9 0.0001 204 | 6/16
10 h-m-p 0.0001 0.0005 643.0331 +YCYCCC 1362.326581 5 0.0003 232 | 6/16
11 h-m-p 0.0001 0.0004 411.5020 +YYYYCC 1356.722745 5 0.0003 258 | 6/16
12 h-m-p 0.0025 0.0123 43.9667 +YYYYCYCYCC 1322.662281 10 0.0106 291 | 5/16
13 h-m-p 0.0000 0.0000 34308.6986 CYCCC 1321.632086 4 0.0000 317 | 5/16
14 h-m-p 0.0151 0.3114 1.7299 CYCC 1321.231742 3 0.0131 341 | 5/16
15 h-m-p 0.0482 0.2412 0.3446 +YYYCYCCC 1312.582314 7 0.2079 372 | 5/16
16 h-m-p 0.2444 1.2745 0.2932 YCCCC 1309.722768 4 0.4630 409 | 5/16
17 h-m-p 0.4019 2.1842 0.3378 +YCCCC 1303.623500 4 1.0962 447 | 5/16
18 h-m-p 0.1895 0.9473 0.3518 +YYYCYCYC 1297.645923 7 0.8164 488 | 5/16
19 h-m-p 0.2060 1.0298 0.2348 +YYCCC 1295.457876 4 0.6437 525 | 5/16
20 h-m-p 0.6056 8.0000 0.2496 +YCCCC 1293.699155 4 1.6607 563 | 5/16
21 h-m-p 0.5312 2.6560 0.3196 +YCCCC 1291.940452 4 1.4278 601 | 5/16
22 h-m-p 0.6605 3.3023 0.3882 CCCC 1290.453776 3 1.0572 637 | 5/16
23 h-m-p 1.0918 5.4590 0.2367 CCCC 1289.716570 3 1.8733 673 | 5/16
24 h-m-p 1.1300 5.6499 0.1654 CYC 1289.479703 2 1.2383 706 | 5/16
25 h-m-p 1.5027 8.0000 0.1363 CC 1289.318354 1 1.5646 738 | 5/16
26 h-m-p 1.6000 8.0000 0.0045 CCCC 1289.239273 3 2.3787 774 | 5/16
27 h-m-p 0.1257 8.0000 0.0846 ++YCCC 1288.949118 3 4.3313 811 | 5/16
28 h-m-p 1.3723 8.0000 0.2671 YCCCC 1288.411216 4 2.7343 848 | 5/16
29 h-m-p 0.9702 4.8508 0.1203 +YCCC 1287.813245 3 2.7736 884 | 5/16
30 h-m-p 0.4150 2.0750 0.1933 ++ 1287.153757 m 2.0750 914 | 6/16
31 h-m-p 1.6000 8.0000 0.1499 YCCC 1287.005964 3 1.0885 949 | 6/16
32 h-m-p 1.6000 8.0000 0.0170 CCC 1286.954855 2 1.7683 982 | 6/16
33 h-m-p 1.0653 8.0000 0.0282 CC 1286.945642 1 1.4560 1013 | 6/16
34 h-m-p 1.6000 8.0000 0.0143 CC 1286.943137 1 1.9374 1044 | 6/16
35 h-m-p 1.6000 8.0000 0.0046 CC 1286.942251 1 1.9619 1075 | 6/16
36 h-m-p 1.6000 8.0000 0.0019 C 1286.942149 0 1.3297 1104 | 6/16
37 h-m-p 1.6000 8.0000 0.0002 Y 1286.942147 0 1.1522 1133 | 6/16
38 h-m-p 1.6000 8.0000 0.0001 Y 1286.942147 0 0.9796 1162 | 6/16
39 h-m-p 1.6000 8.0000 0.0000 Y 1286.942147 0 0.7017 1191 | 6/16
40 h-m-p 1.6000 8.0000 0.0000 -C 1286.942147 0 0.1538 1221 | 6/16
41 h-m-p 0.0500 8.0000 0.0000 Y 1286.942147 0 0.0500 1250 | 6/16
42 h-m-p 0.1824 8.0000 0.0000 --------Y 1286.942147 0 0.0000 1287
Out..
lnL = -1286.942147
1288 lfun, 3864 eigenQcodon, 33488 P(t)
end of tree file.
Time used: 0:12
Model 2: PositiveSelection
TREE # 1
(1, 2, 4, 7, 8, 9, (10, ((3, 5), 6))); MP score: 75
0.039322 0.044233 0.049041 0.026884 0.047755 0.094715 0.018238 0.108249 0.074162 0.095087 0.069731 0.038549 0.040253 3.001374 1.158550 0.436452 0.423835 1.389142
ntime & nrate & np: 13 3 18
Bounds (np=18):
0.000004 0.000004 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 999.000000 99.000000 99.000000 1.000000 999.000000
Qfactor_NS = 4.028763
np = 18
lnL0 = -1418.436733
Iterating by ming2
Initial: fx= 1418.436733
x= 0.03932 0.04423 0.04904 0.02688 0.04775 0.09472 0.01824 0.10825 0.07416 0.09509 0.06973 0.03855 0.04025 3.00137 1.15855 0.43645 0.42383 1.38914
1 h-m-p 0.0000 0.0001 614.4254 ++ 1374.580481 m 0.0001 23 | 1/18
2 h-m-p 0.0000 0.0000 1630.9111 ++ 1360.349669 m 0.0000 44 | 2/18
3 h-m-p 0.0000 0.0000 3505.6490 ++ 1356.485479 m 0.0000 65 | 3/18
4 h-m-p 0.0000 0.0000 11697.2052 ++ 1353.888241 m 0.0000 86 | 4/18
5 h-m-p 0.0000 0.0001 468.3573 ++ 1345.835388 m 0.0001 107 | 5/18
6 h-m-p 0.0001 0.0005 73.8432 +YYYYYCYCCC 1342.424552 9 0.0004 141 | 5/18
7 h-m-p 0.0001 0.0007 61.4333 +YCYCCC 1341.461317 5 0.0004 171 | 5/18
8 h-m-p 0.0001 0.0007 94.0339 +YCYCCC 1340.110248 5 0.0004 201 | 5/18
9 h-m-p 0.0008 0.0061 46.6024 YCCC 1338.069459 3 0.0018 227 | 5/18
10 h-m-p 0.0009 0.0045 96.1757 +YYCCCCC 1329.308823 6 0.0035 259 | 5/18
11 h-m-p 0.0000 0.0001 3642.4467 ++ 1320.977687 m 0.0001 280 | 6/18
12 h-m-p 0.0000 0.0000 642.7353 ++ 1320.330187 m 0.0000 301 | 7/18
13 h-m-p 0.0005 0.0213 17.1123 +++ 1314.983754 m 0.0213 323 | 7/18
14 h-m-p 0.0000 0.0000 4.5608
h-m-p: 2.30924591e-18 1.15462295e-17 4.56079164e+00 1314.983754
.. | 7/18
15 h-m-p 0.0000 0.0001 2705.2562 +YCYCCC 1298.735400 5 0.0000 371 | 7/18
16 h-m-p 0.0000 0.0002 118.5901 YCYCCC 1298.068723 5 0.0001 400 | 7/18
17 h-m-p 0.0000 0.0014 235.3110 +YCCCC 1297.034573 4 0.0001 429 | 7/18
18 h-m-p 0.0005 0.0033 49.4465 CCC 1296.456329 2 0.0006 454 | 7/18
19 h-m-p 0.0001 0.0004 55.1075 CCCC 1296.390196 3 0.0001 481 | 7/18
20 h-m-p 0.0001 0.0019 50.5905 +CCCC 1296.152728 3 0.0004 509 | 7/18
21 h-m-p 0.0003 0.0176 81.5594 ++CCC 1293.451382 2 0.0038 536 | 7/18
22 h-m-p 0.0012 0.0061 211.5070 YCCCCC 1287.818870 5 0.0029 566 | 7/18
23 h-m-p 0.0012 0.0062 43.9571 YYYYC 1287.396574 4 0.0012 591 | 7/18
24 h-m-p 0.2625 5.4806 0.2036 +YCC 1287.243615 2 0.8827 616 | 6/18
25 h-m-p 0.2602 3.9342 0.6907 YCCC 1287.116924 3 0.4508 653 | 6/18
26 h-m-p 1.6000 8.0000 0.1902 YCC 1287.055156 2 1.0987 689 | 6/18
27 h-m-p 1.6000 8.0000 0.0700 CYC 1287.014766 2 1.6888 725 | 5/18
28 h-m-p 0.0006 0.0186 194.7609 CCC 1287.005839 2 0.0001 762 | 5/18
29 h-m-p 0.2718 8.0000 0.1011 ++YCC 1286.903864 2 3.4691 788 | 5/18
30 h-m-p 1.6000 8.0000 0.0490 YCC 1286.883265 2 1.1918 825 | 5/18
31 h-m-p 0.6855 3.4277 0.0654 +YC 1286.863261 1 2.2026 861 | 5/18
32 h-m-p 0.1588 0.7939 0.1243 ++ 1286.847567 m 0.7939 895 | 6/18
33 h-m-p 0.7870 5.3935 0.1253 YC 1286.844694 1 0.3898 930 | 6/18
34 h-m-p 0.9012 8.0000 0.0542 YC 1286.843127 1 0.5476 964 | 6/18
35 h-m-p 1.6000 8.0000 0.0131 CC 1286.842849 1 2.0921 999 | 6/18
36 h-m-p 0.8380 8.0000 0.0328 ++ 1286.840161 m 8.0000 1032 | 6/18
37 h-m-p 0.2582 8.0000 1.0170 YYC 1286.838289 2 0.2582 1067 | 6/18
38 h-m-p 0.8322 8.0000 0.3155 CYCC 1286.834678 3 1.2012 1093 | 6/18
39 h-m-p 0.9217 8.0000 0.4112 +YC 1286.813481 1 2.3110 1128 | 6/18
40 h-m-p 1.6000 8.0000 0.5055 YC 1286.796135 1 0.8065 1162 | 6/18
41 h-m-p 0.1338 8.0000 3.0462 +YCCC 1286.766292 3 0.3674 1201 | 6/18
42 h-m-p 1.6000 8.0000 0.2599 CC 1286.751404 1 1.5489 1224 | 6/18
43 h-m-p 1.6000 8.0000 0.1054 YC 1286.740706 1 3.1563 1258 | 6/18
44 h-m-p 1.6000 8.0000 0.2017 +CC 1286.710330 1 5.7988 1294 | 6/18
45 h-m-p 1.3606 8.0000 0.8596 YCCC 1286.681030 3 0.7256 1332 | 6/18
46 h-m-p 1.2466 8.0000 0.5003 CCC 1286.649785 2 1.5897 1369 | 6/18
47 h-m-p 1.6000 8.0000 0.2571 YC 1286.647589 1 0.7153 1403 | 6/18
48 h-m-p 1.6000 8.0000 0.0507 YC 1286.646900 1 0.8107 1437 | 6/18
49 h-m-p 1.6000 8.0000 0.0210 Y 1286.646879 0 1.0392 1470 | 6/18
50 h-m-p 1.6000 8.0000 0.0050 Y 1286.646878 0 1.1747 1503 | 6/18
51 h-m-p 1.6000 8.0000 0.0004 Y 1286.646878 0 0.8968 1536 | 6/18
52 h-m-p 1.6000 8.0000 0.0001 ----------------.. | 6/18
53 h-m-p 0.0160 8.0000 0.0025 ------------- | 6/18
54 h-m-p 0.0160 8.0000 0.0025 -------------
Out..
lnL = -1286.646878
1672 lfun, 6688 eigenQcodon, 65208 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) = -1297.808098 S = -1243.999926 -88.523219
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 110 patterns 0:36
did 20 / 110 patterns 0:36
did 30 / 110 patterns 0:36
did 40 / 110 patterns 0:36
did 50 / 110 patterns 0:36
did 60 / 110 patterns 0:36
did 70 / 110 patterns 0:36
did 80 / 110 patterns 0:36
did 90 / 110 patterns 0:36
did 100 / 110 patterns 0:36
did 110 / 110 patterns 0:36end of tree file.
Time used: 0:36
Model 7: beta
TREE # 1
(1, 2, 4, 7, 8, 9, (10, ((3, 5), 6))); MP score: 75
0.062583 0.080650 0.051437 0.017990 0.100713 0.085155 0.089591 0.102935 0.039275 0.108191 0.093903 0.094754 0.053171 3.114541 0.683325 1.784921
ntime & nrate & np: 13 1 16
Bounds (np=16):
0.000004 0.000004 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 999.000000 99.000000 99.000000
Qfactor_NS = 7.241067
np = 16
lnL0 = -1417.708561
Iterating by ming2
Initial: fx= 1417.708561
x= 0.06258 0.08065 0.05144 0.01799 0.10071 0.08515 0.08959 0.10294 0.03928 0.10819 0.09390 0.09475 0.05317 3.11454 0.68333 1.78492
1 h-m-p 0.0000 0.0001 619.0431 ++ 1385.127384 m 0.0001 37 | 1/16
2 h-m-p 0.0000 0.0001 1452.2830 ++ 1344.321551 m 0.0001 72 | 2/16
3 h-m-p 0.0000 0.0000 20635.9812 ++ 1331.744364 m 0.0000 106 | 3/16
4 h-m-p 0.0000 0.0001 250.8828 ++ 1321.165874 m 0.0001 139 | 4/16
5 h-m-p 0.0000 0.0000 624.1254 ++ 1315.422152 m 0.0000 171 | 5/16
6 h-m-p 0.0000 0.0002 155.1908 +YYYYYYYCCC 1312.683735 10 0.0002 215 | 5/16
7 h-m-p 0.0003 0.0016 100.8543 YCYCCC 1309.968798 5 0.0007 253 | 5/16
8 h-m-p 0.0005 0.0024 108.3735 CYCCC 1307.707033 4 0.0009 290 | 5/16
9 h-m-p 0.0003 0.0014 123.4495 CCCCC 1306.789805 4 0.0004 328 | 5/16
10 h-m-p 0.0005 0.0044 103.4069 +YYYCYYCCCC 1299.434150 9 0.0028 372 | 5/16
11 h-m-p 0.0004 0.0019 81.3395 YCC 1299.231839 2 0.0002 405 | 5/16
12 h-m-p 0.0083 0.0855 1.8627 +YCCCCC 1298.163782 5 0.0379 445 | 5/16
13 h-m-p 0.0097 0.0485 2.9691 +YYYYCCC 1296.040340 6 0.0374 484 | 5/16
14 h-m-p 0.1406 1.2332 0.7907 +YCC 1292.399636 2 0.3723 518 | 5/16
15 h-m-p 0.4376 2.1882 0.6516 CCC 1292.252472 2 0.1133 552 | 5/16
16 h-m-p 0.1087 1.2023 0.6794 +CYYCCC 1291.200071 5 0.7231 591 | 5/16
17 h-m-p 0.1052 0.5259 1.2878 YCCCC 1290.800872 4 0.2374 628 | 5/16
18 h-m-p 0.1181 0.5906 2.0360 +YYCYCCC 1288.943191 6 0.4041 669 | 5/16
19 h-m-p 0.0193 0.0965 3.9069 YCYCYCC 1288.749048 6 0.0332 708 | 5/16
20 h-m-p 0.0261 0.1305 1.6368 ++ 1287.733922 m 0.1305 738 | 6/16
21 h-m-p 0.5188 2.5938 0.2056 YCCYCYC 1287.154629 6 0.7020 777 | 6/16
22 h-m-p 0.1452 0.7259 0.0421 -YCC 1287.153415 2 0.0171 810 | 6/16
23 h-m-p 0.0510 8.0000 0.0141 --------------.. | 6/16
24 h-m-p 0.0000 0.0001 84.5110 +YYYYC 1286.999685 4 0.0000 885 | 6/16
25 h-m-p 0.0001 0.0004 20.1826 YCC 1286.989104 2 0.0001 917 | 6/16
26 h-m-p 0.0000 0.0023 31.6076 +CCC 1286.956032 2 0.0001 951 | 6/16
27 h-m-p 0.0006 0.0228 7.3325 YC 1286.947768 1 0.0004 981 | 6/16
28 h-m-p 0.0004 0.0125 6.7958 YC 1286.944213 1 0.0003 1011 | 6/16
29 h-m-p 0.0013 0.0924 1.4133 CC 1286.943797 1 0.0005 1042 | 6/16
30 h-m-p 0.0019 0.4310 0.3433 C 1286.943762 0 0.0006 1071 | 6/16
31 h-m-p 0.0029 1.4363 0.2151 C 1286.943745 0 0.0010 1100 | 6/16
32 h-m-p 0.0104 5.1776 0.0952 Y 1286.943740 0 0.0013 1129 | 6/16
33 h-m-p 0.0160 8.0000 0.0300 +++YC 1286.943189 1 0.6977 1162 | 6/16
34 h-m-p 1.6000 8.0000 0.0071 C 1286.942903 0 1.5273 1191 | 6/16
35 h-m-p 1.6000 8.0000 0.0017 C 1286.942785 0 2.5451 1220 | 6/16
36 h-m-p 1.6000 8.0000 0.0010 C 1286.942729 0 2.3391 1249 | 6/16
37 h-m-p 1.6000 8.0000 0.0007 C 1286.942707 0 1.6000 1278 | 6/16
38 h-m-p 1.2344 8.0000 0.0010 C 1286.942693 0 1.9330 1307 | 6/16
39 h-m-p 1.6000 8.0000 0.0008 C 1286.942687 0 1.9151 1336 | 6/16
40 h-m-p 1.6000 8.0000 0.0005 C 1286.942686 0 1.4407 1365 | 6/16
41 h-m-p 1.6000 8.0000 0.0001 Y 1286.942686 0 1.0104 1394 | 6/16
42 h-m-p 1.6000 8.0000 0.0000 ++ 1286.942686 m 8.0000 1423 | 6/16
43 h-m-p 1.1374 8.0000 0.0000 ------Y 1286.942686 0 0.0001 1458
Out..
lnL = -1286.942686
1459 lfun, 16049 eigenQcodon, 189670 P(t)
end of tree file.
Time used: 1:44
Model 8: beta&w>1
TREE # 1
(1, 2, 4, 7, 8, 9, (10, ((3, 5), 6))); MP score: 75
0.078689 0.078720 0.108134 0.023616 0.054879 0.052155 0.096521 0.107083 0.026828 0.075753 0.071701 0.018772 0.101496 2.999760 0.900000 0.512897 1.505439 1.300000
ntime & nrate & np: 13 2 18
Bounds (np=18):
0.000004 0.000004 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 999.000000 0.999990 99.000000 99.000000 999.000000
Qfactor_NS = 6.475057
np = 18
lnL0 = -1405.101241
Iterating by ming2
Initial: fx= 1405.101241
x= 0.07869 0.07872 0.10813 0.02362 0.05488 0.05215 0.09652 0.10708 0.02683 0.07575 0.07170 0.01877 0.10150 2.99976 0.90000 0.51290 1.50544 1.30000
1 h-m-p 0.0000 0.0001 675.2610 ++ 1363.945009 m 0.0001 41 | 1/18
2 h-m-p 0.0000 0.0001 687.3290 +YCYYC 1330.837830 4 0.0001 87 | 1/18
3 h-m-p 0.0000 0.0000 2144.3038 +YYYYYCCCCC 1328.137281 9 0.0000 139 | 1/18
4 h-m-p 0.0000 0.0000 5150.7051 ++ 1318.107170 m 0.0000 177 | 2/18
5 h-m-p 0.0000 0.0000 429.9144 ++ 1317.701329 m 0.0000 215 | 3/18
6 h-m-p 0.0000 0.0000 805.2586 ++ 1311.221633 m 0.0000 252 | 4/18
7 h-m-p 0.0000 0.0001 218.6921 ++ 1310.335739 m 0.0001 288 | 5/18
8 h-m-p 0.0001 0.0015 94.9485 ++ 1304.530738 m 0.0015 323 | 6/18
9 h-m-p 0.0007 0.0033 115.5761 CYCCCC 1301.579289 5 0.0012 366 | 6/18
10 h-m-p 0.0001 0.0004 676.9793 CYCYCC 1298.570228 5 0.0002 408 | 6/18
11 h-m-p 0.0014 0.0070 7.9706 CYC 1298.194961 2 0.0014 444 | 5/18
12 h-m-p 0.0000 0.0025 237.8890 +CYCCC 1295.996099 4 0.0001 486 | 5/18
13 h-m-p 0.0007 0.0033 37.6246 YCCC 1295.504297 3 0.0004 525 | 5/18
14 h-m-p 0.0094 1.4241 1.4817 ++YCCC 1293.348177 3 0.2578 566 | 5/18
15 h-m-p 0.0127 0.0636 14.4838 YCC 1291.105116 2 0.0244 603 | 5/18
16 h-m-p 0.0816 0.4080 2.2772 +YYCYC 1288.690859 4 0.2867 643 | 5/18
17 h-m-p 1.4281 7.1407 0.1851 CYCC 1287.830229 3 1.7445 682 | 5/18
18 h-m-p 0.9060 8.0000 0.3564 CYC 1287.635948 2 0.6911 719 | 5/18
19 h-m-p 0.2091 1.0454 0.2963 CCCCC 1287.470754 4 0.3228 761 | 5/18
20 h-m-p 0.5541 4.9540 0.1726 +YC 1287.265954 1 1.4142 797 | 5/18
21 h-m-p 1.5867 7.9335 0.0911 C 1287.124569 0 1.5867 831 | 5/18
22 h-m-p 0.9990 6.8660 0.1446 YCCC 1287.023328 3 2.1173 870 | 5/18
23 h-m-p 1.6000 8.0000 0.1096 CC 1286.947380 1 1.7232 906 | 5/18
24 h-m-p 1.6000 8.0000 0.0400 CCC 1286.897895 2 2.0419 944 | 5/18
25 h-m-p 0.5852 2.9262 0.1045 YCCC 1286.876481 3 1.0260 983 | 5/18
26 h-m-p 1.5483 7.7417 0.0136 CCC 1286.869370 2 1.3886 1021 | 5/18
27 h-m-p 0.8197 7.6267 0.0231 YC 1286.866595 1 1.8815 1056 | 5/18
28 h-m-p 1.0524 5.2621 0.0059 +
QuantileBeta(0.15, 0.00500, 2.28831) = 1.136653e-160 2000 rounds
YC 1286.861843 1 2.8909 1092 | 5/18
29 h-m-p 0.9335 6.4415 0.0182 YC 1286.857771 1 1.5676 1127
QuantileBeta(0.05, 0.00790, 2.26604) = 8.530658e-161 2000 rounds
| 5/18
30 h-m-p 0.1139 0.5695 0.0300 +
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
+ 1286.856192 m 0.5695 1161
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26131) = 1.153631e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26106) = 1.153789e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26119) = 1.153710e-160 2000 rounds
| 6/18
31 h-m-p 1.6000 8.0000 0.0017
QuantileBeta(0.15, 0.00500, 2.26172) = 1.153369e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26332) = 1.152348e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153459e-160 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
C 1286.855708 1 1.1743 1196
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.193726e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26170) = 1.153381e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26145) = 1.153538e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26158) = 1.153460e-160 2000 rounds
| 6/18
32 h-m-p 1.6000 8.0000 0.0009
QuantileBeta(0.15, 0.00500, 2.26102) = 1.153816e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25934) = 1.154887e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
C 1286.855260 1 3.8772 1230
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.194621e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26035) = 1.154245e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154402e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26022) = 1.154324e-160 2000 rounds
| 6/18
33 h-m-p 1.2168 8.0000 0.0029
QuantileBeta(0.15, 0.00500, 2.25938) = 1.154864e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25684) = 1.156488e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
C 1286.855216 0 1.3215 1263
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.195228e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25943) = 1.154832e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25918) = 1.154989e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25931) = 1.154910e-160 2000 rounds
| 6/18
34 h-m-p 1.6000 8.0000 0.0004
QuantileBeta(0.15, 0.00500, 2.25979) = 1.154601e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26124) = 1.153674e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
Y 1286.855200 0 3.4762 1296
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.194532e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26048) = 1.154160e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26023) = 1.154317e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26036) = 1.154238e-160 2000 rounds
| 6/18
35 h-m-p 1.6000 8.0000 0.0002
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154398e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25936) = 1.154876e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
C 1286.855197 0 1.7658 1329
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.194714e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26021) = 1.154335e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25996) = 1.154493e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26008) = 1.154414e-160 2000 rounds
| 6/18
36 h-m-p 1.6000 8.0000 0.0001
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154398e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26018) = 1.154349e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
Y 1286.855197 0 1.2698 1362
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.194701e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26023) = 1.154322e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25998) = 1.154480e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26010) = 1.154401e-160 2000 rounds
| 6/18
37 h-m-p 1.6000 8.0000 0.0000
QuantileBeta(0.15, 0.00500, 2.26012) = 1.154392e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26016) = 1.154365e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
Y 1286.855197 0 1.1355 1395
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.194694e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26024) = 1.154316e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25999) = 1.154474e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
| 6/18
38 h-m-p 1.6000 8.0000 0.0000
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154396e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
Y 1286.855197 0 0.8042 1428
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.194695e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26024) = 1.154316e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.25999) = 1.154474e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
| 6/18
39 h-m-p 1.6000 8.0000 0.0000
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
-
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
-
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
-
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
-
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
-
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
-
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
-
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
Y 1286.855197 0 0.0000 1468
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
Out..
lnL = -1286.855197
1469 lfun, 17628 eigenQcodon, 210067 P(t)
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
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) = -1299.554293 S = -1244.120478 -83.068986
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 110 patterns 3:03
did 20 / 110 patterns 3:03
did 30 / 110 patterns 3:04
did 40 / 110 patterns 3:04
did 50 / 110 patterns 3:04
did 60 / 110 patterns 3:04
did 70 / 110 patterns 3:04
did 80 / 110 patterns 3:04
did 90 / 110 patterns 3:05
did 100 / 110 patterns 3:05
did 110 / 110 patterns 3:05
QuantileBeta(0.15, 0.00500, 2.26011) = 1.154395e-160 2000 rounds
end of tree file.
Time used: 3:05
The loglikelihoods for models M1, M2, M7 and M8 are -1286.942147 -1286.646878 -1286.942686 -1286.855197 respectively
CLUSTAL W (1.8) multiple sequence alignment (ALTER 1.3.3)
B04f_NS3d_ABN10843_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MAFSASLFRTKTVHTEDAFCPRSAIQAEQPPNIIDCIPVAGYEAALITNALFLLVLFVFN
B05f_NS3d_ABN10852_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MAFSASLFRTKTVHTEDAFCPRSAIQAEQPPNIIDCIPVAGYEAALITNALFLLVLFVFN
BtTp_GX2012_NA_AIA62356_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MAFSASLFRTKTVHTEDALCPRSAIQAEQPPNIIDCIPVAGYEAALITNALFLLVLFVFN
B07f_NS3d_ABN10861_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MAFSASLFRTKTVHTEDAFCPRSAIQAEQPPNIIDCIPVAGYEAALITNALFLLVLFVFN
CZ01_orf5_AWH65881_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 MAFSASLFRTKTVHTEDALCPRSAIQAEQPPNIIDCIPVAGYEAALITNALFLLVLFVFN
CZ07_orf5_AWH65892_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 MAFSASLFRTKTVHTEDALCPRSAIQAEQPPNIIDCIPVAGYEAALITNALFLLVLFVFN
HKU4_1_B04f_NS3d_YP_001039957_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MAFSASLFRTKTVHTEDAFCPRSAIQAEQPPNIIDCIPVAGYEAALITNALFLLVLFVFN
LMH1f_NS3d_ABN10870_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MAFSASLFRTKTVHTEDAFCPRSTIQAEQPPNIIDCIPVAGYEAALITNALFLLVLFVFN
SM3A_NA_QQD78087_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4 MAFSASLFRTKTVHTEDAFCPRSAIQAEQPPNIIDCIPVAGYEAALITNALFLLVLFVFN
SZ140324_orf5_AWH65903_1_2014_04_23_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 MAFSASLFRTKTVHTEDALCPRSAIQAEEPPNIIDCIPVAGYEAALVTNALFLLVLFVFN
******************:****:****:*****************:*************
B04f_NS3d_ABN10843_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 PLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALLLAYVVTFLVLWTADRIRLSC
B05f_NS3d_ABN10852_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 PLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALLLAYVVTFLVLWTADRIRLSC
BtTp_GX2012_NA_AIA62356_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4 PLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALLLAYVVTFLILWTADRIRLSC
B07f_NS3d_ABN10861_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 PLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALLLAYVVTFLVLWTADRIRLSC
CZ01_orf5_AWH65881_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 PLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALLLAYVVTFLILWTADRIRLSC
CZ07_orf5_AWH65892_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 PLTCRGNWIKAILFYSLLLYNMILAIFLVIDTQHFVSALLLAYVVTFLTLWTVDRIRLSC
HKU4_1_B04f_NS3d_YP_001039957_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 PLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALLLAYVVTFLVLWTADRIRLSC
LMH1f_NS3d_ABN10870_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 PLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALLLAYVVTFLVLWTADRIRLSC
SM3A_NA_QQD78087_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4 PLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALLLAYVVTFLVLWTADRIRLSC
SZ140324_orf5_AWH65903_1_2014_04_23_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 PLTCKGNWIKAILFYSLLLYNMILAIFLVIDTQHFVSALLLAYVVTFLVLWTADRIRLSC
****:************************:****************** ***.*******
B04f_NS3d_ABN10843_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 AVGSVLPFVDMRSSYIRVDNGNSSVVVPMNHTKHWFIRNFEQSCHCENCFYIHSSSYVEC
B05f_NS3d_ABN10852_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 AVGSVLPFVDMRSSYIRVDNGNSSVVVPMNHTKHWFIRNFEQSCHCENCFYIHSSSYVEC
BtTp_GX2012_NA_AIA62356_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4 AVGSVLPFVDMRSAYIRVDNGNSSVVVPMNHTKHWFIRNFEQSCHCENCFYIHSSSYVEC
B07f_NS3d_ABN10861_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 AVGSVLPFVDMRSSYIRVDNGNSSVVVPMNHTKHWFIRNFEQSCHCENCFYIHSSSYVEC
CZ01_orf5_AWH65881_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 AVGSVLPFVDMRSAYIRVDNGNSSVVVPMNHTKHWFIRNFEQSCHCENCFYIHSSSYVYY
CZ07_orf5_AWH65892_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 AVGSVLPFVDMRSSYIRVDNGNSSVVVPMNHTKHWFIRNFEQSCHCENCFYIHSSSYVQS
HKU4_1_B04f_NS3d_YP_001039957_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 AVGSVLPFVDMRSSYIRVDNGNSSVVVPMNHTKHWFIRNFEQSCHCENCFYIHSSSYVEC
LMH1f_NS3d_ABN10870_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 AVGSVLPFVDMRSSYIRVDNGNSSVVVPMNHTKHWFIRNFEQSCHCENCFYIHSSSYVEC
SM3A_NA_QQD78087_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4 AVGSVLPFVDMRSSYIRVDNGNSSVVVPMNHTKHWFIRNFEQSCHCENCFYIHSSSYVEC
SZ140324_orf5_AWH65903_1_2014_04_23_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 AVGSVLPFVDMRSAYIRVDNGNSSVVVPMNHTKHWFIRNFEQSCHCENCFYIHSSSYVEC
*************:********************************************
B04f_NS3d_ABN10843_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 TFISRLKKSILVSVCDFSLGGNVSTVFVPSSDKTVPLHIIAPSKLYV
B05f_NS3d_ABN10852_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 TFISRLKKSILVSVCDFSLGGNVSTVFVPSSDKTVPLHIIAPSKLYV
BtTp_GX2012_NA_AIA62356_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4 TFISRLKKSILVSVCDFSLGDNVSTVFVPSSDKTVPLHIIAPSKLYV
B07f_NS3d_ABN10861_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 TFISRLKKSILVSVCDFSLGGNVSTVFVPSSDKTVPLHIIAPSKLYV
CZ01_orf5_AWH65881_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 TFISRLKISILVSVCDFSLGDNVSTVFVPSSDITVPLHIIAPSKLYV
CZ07_orf5_AWH65892_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 TFISRLKISILVSVCDFSLGDNVSTVFVPSSDKTVPLHIIAPSKLYV
HKU4_1_B04f_NS3d_YP_001039957_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 TFISRLKKSILVSVCDFSLGGNVSTVFVPSSDKTVPLHIIAPSKLYV
LMH1f_NS3d_ABN10870_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 TFISRLKKSILVSVCDFSLGGNVSTVFVPSSDKTVPLHIIAPSKLYV
SM3A_NA_QQD78087_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4 TFISRLKKSILVSVCDFSLGGNVSTVFVPSSDKTVPLHIIAPSKLYV
SZ140324_orf5_AWH65903_1_2014_04_23_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 TFISRLKKSILVSVCDFSLGGNVSTVFVPSSDKTVPLHIIAPSKLYV
******* ************.*********** **************
>B04f_NS3d_ABN10843_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 ATGGCTTTTTCAGCTTCTTTATTTCGGACTAAAACAGTCCATACTGAAGATGCATTTTGCCCTCGTTCGGCTATTCAGGCTGAACAGCCTCCTAATATCATAGACTGCATACCAGTTGCAGGCTATGAAGCTGCATTAATCACTAATGCACTTTTCCTATTAGTATTATTTGTCTTTAACCCACTTACCTGTAAGGGCAATTGGATTAAAGCTATTTTGTTTTACAGCTTATTGCTGTATAATATGATATTAGCCATATTTTTGGTTGTTGATACACAACATTTTGTTAGTGCTTTGTTGCTAGCTTATGTTGTTACTTTTCTAGTCTTGTGGACTGCTGACCGAATACGTCTCAGTTGTGCAGTAGGAAGTGTATTACCCTTTGTCGATATGCGGTCTTCCTATATCCGTGTTGACAACGGTAATTCCAGTGTTGTAGTTCCAATGAACCACACAAAGCACTGGTTTATAAGAAATTTTGAGCAATCTTGTCATTGTGAAAATTGTTTTTATATTCACTCTTCATCTTATGTTGAGTGTACTTTTATTAGTCGCCTAAAGAAATCCATACTTGTTTCAGTTTGTGATTTTTCTTTAGGTGGTAATGTTTCTACTGTTTTTGTCCCTTCTAGTGATAAAACAGTACCCCTTCACATAATCGCACCTAGCAAGCTTTATGTC >B05f_NS3d_ABN10852_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 ATGGCTTTTTCAGCTTCTTTATTTCGGACTAAAACAGTCCATACTGAAGATGCATTTTGCCCTCGTTCGGCTATTCAGGCTGAACAGCCTCCTAATATCATAGACTGCATACCAGTTGCAGGCTATGAAGCTGCATTAATCACTAATGCACTTTTCCTATTAGTATTATTTGTCTTTAACCCACTTACCTGTAAGGGCAATTGGATTAAAGCTATTTTGTTTTACAGCTTATTGCTGTATAATATGATATTAGCCATATTTTTGGTTGTTGATACACAACATTTTGTTAGTGCTTTGTTGCTAGCTTATGTTGTTACTTTTCTAGTCTTGTGGACTGCTGACCGAATACGTCTCAGTTGTGCAGTAGGAAGTGTATTACCCTTTGTCGATATGCGGTCTTCCTATATCCGTGTTGACAACGGTAATTCCAGTGTTGTAGTTCCAATGAACCACACAAAGCACTGGTTTATAAGAAATTTTGAGCAATCTTGTCATTGTGAAAATTGTTTTTATATTCACTCTTCATCTTATGTTGAGTGTACTTTTATTAGTCGCCTAAAGAAATCCATACTTGTTTCAGTTTGTGATTTTTCTTTAGGTGGTAATGTTTCTACTGTTTTTGTCCCTTCTAGTGATAAAACAGTACCCCTTCACATAATCGCACCTAGCAAGCTTTATGTC >BtTp_GX2012_NA_AIA62356_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4 ATGGCTTTTTCAGCTTCTCTATTTCGGACAAAAACAGTCCATACTGAAGATGCATTATGCCCTCGTTCGGCAATACAGGCTGAACAGCCTCCTAATATCATAGACTGCATACCTGTTGCAGGCTATGAAGCTGCATTAATTACTAATGCATTGTTTCTACTAGTATTATTTGTCTTTAACCCACTTACCTGTAAAGGTAATTGGATTAAAGCTATCTTGTTCTACAGCTTACTGCTGTATAATATGATATTAGCCATATTTTTGGTTGTTGATACTCAACATTTTGTTAGTGCTTTGTTATTAGCTTATGTTGTTACCTTTTTAATCCTTTGGACTGCTGACCGAATTCGTCTCAGTTGTGCAGTAGGAAGTGTATTACCCTTTGTCGACATGCGATCTGCTTATATCCGTGTTGACAATGGTAATTCCAGTGTTGTAGTTCCAATGAACCACACAAAGCACTGGTTTATAAGAAATTTTGAGCAATCTTGTCATTGCGAAAATTGTTTTTATATTCACTCTTCATCTTATGTTGAGTGTACTTTTATTAGCCGCCTAAAGAAATCCATACTTGTTTCAGTTTGTGATTTCTCTTTAGGTGATAATGTTTCTACTGTTTTTGTTCCTTCTAGTGACAAAACAGTACCCCTTCACATAATCGCACCAAGCAAGCTTTATGTT >B07f_NS3d_ABN10861_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 ATGGCTTTTTCAGCTTCTTTATTTCGGACTAAAACAGTCCATACTGAAGATGCATTTTGCCCTCGTTCGGCTATTCAGGCTGAACAGCCTCCTAATATCATAGACTGCATACCAGTTGCAGGCTATGAAGCTGCATTAATCACTAATGCACTTTTCCTATTAGTATTATTTGTCTTTAACCCACTTACCTGTAAGGGCAATTGGATTAAAGCTATTTTGTTTTACAGCTTATTGCTGTATAATATGATATTAGCCATATTTTTGGTTGTTGATACACAACATTTTGTTAGTGCTTTGTTGCTAGCTTATGTTGTTACTTTTCTAGTCTTGTGGACTGCTGACCGAATACGTCTCAGTTGTGCAGTAGGAAGTGTATTACCCTTTGTCGATATGCGGTCTTCCTATATCCGTGTTGACAACGGTAATTCCAGTGTTGTAGTTCCAATGAACCACACAAAGCACTGGTTTATAAGAAATTTTGAGCAATCTTGTCATTGTGAAAATTGTTTTTATATTCACTCTTCATCTTATGTTGAGTGTACTTTTATTAGTCGCCTAAAGAAATCCATACTTGTTTCAGTTTGTGATTTTTCTTTAGGTGGTAATGTTTCTACTGTTTTTGTCCCTTCTAGTGATAAAACAGTACCCCTTCACATAATCGCACCTAGCAAGCTTTATGTC >CZ01_orf5_AWH65881_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 ATGGCTTTTTCAGCTTCTCTATTTCGGACAAAAACAGTCCATACTGAAGATGCATTATGCCCTCGTTCGGCAATACAGGCTGAACAGCCTCCTAATATCATAGACTGCATACCTGTTGCAGGCTATGAAGCTGCATTAATTACTAATGCATTGTTTCTACTAGTATTATTTGTCTTTAACCCACTTACCTGTAAAGGTAATTGGATTAAAGCTATCTTGTTCTACAGCTTACTGCTGTATAATATGATATTAGCCATATTTTTGGTTGTTGATACTCAACATTTTGTTAGTGCTTTGTTATTAGCTTATGTTGTTACCTTTTTAATCCTTTGGACTGCTGACCGAATTCGTCTCAGTTGTGCAGTAGGAAGTGTATTACCCTTTGTCGACATGCGATCTGCTTATATCCGTGTTGACAATGGTAATTCCAGTGTTGTAGTTCCAATGAACCACACAAAGCACTGGTTTATAAGAAATTTTGAGCAATCTTGTCATTGCGAAAATTGTTTTTATATTCACTCTTCATCTTATGTTTACTATACTTTTATTAGCCGCCTAAAGATATCCATACTTGTTTCAGTTTGTGATTTCTCTTTAGGTGATAATGTTTCTACTGTTTTTGTTCCTTCTAGTGACATAACAGTACCCCTTCACATAATTGCACCAAGCAAGCTTTATGTT >CZ07_orf5_AWH65892_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 ATGGCTTTTTCAGCTTCTCTATTTCGGACAAAAACAGTCCATACTGAAGATGCATTATGCCCTCGTTCGGCAATACAGGCTGAACAGCCTCCTAATATCATAGACTGCATACCTGTTGCAGGCTATGAAGCTGCATTAATTACTAATGCATTGTTTCTATTAGTATTATTCGTCTTTAACCCACTTACCTGTAGGGGTAATTGGATTAAAGCTATTTTATTTTACAGCTTACTGCTGTATAATATGATATTAGCCATATTTTTGGTTATTGATACGCAACATTTTGTTAGTGCTTTGCTGTTAGCTTATGTTGTTACTTTTCTAACCCTGTGGACTGTAGATCGAATTCGGCTCAGTTGTGCAGTGGGAAGTGTATTACCCTTTGTCGATATGAGATCCTCTTATATCCGTGTTGACAATGGTAACTCCAGTGTTGTAGTTCCAATGAACCACACAAAGCACTGGTTTATAAGAAATTTTGAGCAATCTTGTCATTGCGAAAATTGTTTTTATATTCACTCTTCATCTTATGTTCAGTCCACTTTTATTAGCCGCCTAAAGATATCCATACTTGTTTCAGTTTGTGATTTCTCTTTAGGTGATAATGTTTCTACTGTTTTTGTTCCTTCTAGTGACAAAACAGTACCCCTTCACATAATTGCACCAAGCAAGCTTTATGTT >HKU4_1_B04f_NS3d_YP_001039957_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 ATGGCTTTTTCAGCTTCTTTATTTCGGACTAAAACAGTCCATACTGAAGATGCATTTTGCCCTCGTTCGGCTATTCAGGCTGAACAGCCTCCTAATATCATAGACTGCATACCAGTTGCAGGCTATGAAGCTGCATTAATCACTAATGCACTTTTCCTATTAGTATTATTTGTCTTTAACCCACTTACCTGTAAGGGCAATTGGATTAAAGCTATTTTGTTTTACAGCTTATTGCTGTATAATATGATATTAGCCATATTTTTGGTTGTTGATACACAACATTTTGTTAGTGCTTTGTTGCTAGCTTATGTTGTTACTTTTCTAGTCTTGTGGACTGCTGACCGAATACGTCTCAGTTGTGCAGTAGGAAGTGTATTACCCTTTGTCGATATGCGGTCTTCCTATATCCGTGTTGACAACGGTAATTCCAGTGTTGTAGTTCCAATGAACCACACAAAGCACTGGTTTATAAGAAATTTTGAGCAATCTTGTCATTGTGAAAATTGTTTTTATATTCACTCTTCATCTTATGTTGAGTGTACTTTTATTAGTCGCCTAAAGAAATCCATACTTGTTTCAGTTTGTGATTTTTCTTTAGGTGGTAATGTTTCTACTGTTTTTGTCCCTTCTAGTGATAAAACAGTACCCCTTCACATAATCGCACCTAGCAAGCTTTATGTC >LMH1f_NS3d_ABN10870_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 ATGGCTTTTTCAGCTTCTTTATTTCGGACTAAAACAGTCCATACTGAAGATGCATTTTGCCCTCGTTCGACTATTCAGGCTGAACAGCCTCCTAATATCATAGACTGCATACCAGTTGCAGGCTATGAAGCTGCATTAATCACTAATGCACTTTTCCTATTAGTATTATTTGTCTTTAACCCACTTACCTGTAAGGGCAATTGGATTAAAGCTATTTTGTTTTACAGCTTATTGCTGTATAATATGATATTAGCCATATTTTTGGTTGTTGATACACAACATTTTGTTAGTGCTTTGTTGCTAGCTTATGTTGTTACTTTTCTAGTCTTGTGGACTGCTGACCGAATACGTCTCAGTTGTGCAGTAGGAAGTGTATTACCCTTTGTCGATATGCGGTCTTCCTATATCCGTGTTGACAACGGTAATTCCAGTGTTGTAGTTCCAATGAACCACACAAAGCACTGGTTTATAAGAAATTTTGAGCAATCTTGTCATTGTGAAAATTGTTTTTATATTCACTCTTCATCTTATGTTGAGTGTACTTTTATTAGTCGCCTAAAGAAATCCATACTTGTTTCAGTTTGTGATTTTTCTTTAGGTGGTAATGTTTCTACTGTTTTTGTCCCTTCTAGTGATAAAACAGTACCCCTTCACATAATCGCACCTAGCAAGCTTTATGTC >SM3A_NA_QQD78087_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4 ATGGCTTTTTCAGCTTCTTTATTTCGGACTAAAACAGTCCATACTGAAGATGCATTTTGCCCTCGTTCGGCTATTCAGGCTGAACAGCCTCCTAATATCATAGACTGCATACCAGTTGCAGGCTATGAAGCTGCATTAATCACTAATGCACTTTTCCTATTAGTATTATTTGTCTTTAACCCACTTACCTGTAAGGGCAATTGGATTAAAGCTATTTTGTTTTACAGCTTATTGCTGTATAATATGATATTAGCCATATTTTTGGTTGTTGATACACAACATTTTGTTAGCGCTTTGTTGCTAGCTTATGTTGTTACTTTTCTAGTCTTGTGGACTGCTGACCGAATACGTCTCAGTTGTGCAGTAGGAAGTGTATTACCCTTTGTCGATATGCGGTCTTCCTATATCCGTGTTGACAACGGTAATTCCAGTGTTGTAGTTCCAATGAACCACACAAAGCACTGGTTTATAAGAAATTTTGAGCAATCTTGTCATTGTGAAAATTGTTTTTATATTCACTCTTCATCTTATGTTGAGTGTACTTTTATTAGTCGCCTAAAGAAATCCATACTTGTTTCAGTTTGTGATTTTTCTTTAGGTGGTAATGTTTCTACTGTTTTTGTCCCTTCTAGTGATAAAACAGTACCCCTTCACATAATCGCACCTAGCAAGCTTTATGTC >SZ140324_orf5_AWH65903_1_2014_04_23_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 ATGGCTTTTTCTGCTTCTCTATTTCGGACTAAAACAGTCCATACTGAAGATGCATTATGCCCTCGTTCGGCTATTCAGGCTGAAGAGCCTCCTAATATCATAGACTGCATACCAGTTGCAGGCTATGAAGCTGCATTAGTTACTAATGCACTTTTCTTATTAGTACTATTTGTCTTTAATCCACTTACCTGTAAGGGAAATTGGATTAAAGCTATTTTATTTTACAGCCTACTGCTGTATAATATGATTTTAGCCATATTTTTGGTTATTGATACACAACATTTTGTTAGTGCTTTGTTGCTAGCTTATGTTGTTACTTTTCTAGTCTTGTGGACTGCTGACCGAATACGTCTCAGTTGTGCAGTAGGAAGTGTATTACCCTTTGTCGACATGAGATCTGCTTATATCCGTGTTGACAACGGTAATTCCAGTGTTGTAGTTCCAATGAACCACACAAAGCACTGGTTTATAAGAAATTTTGAGCAATCTTGTCACTGTGAAAATTGTTTTTATATTCACTCTTCATCTTATGTTGAGTGTACTTTTATTAGTCGCCTAAAGAAATCCATACTTGTTTCAGTTTGTGATTTTTCTTTAGGTGGTAATGTTTCTACTGTTTTTGTCCCTTCTAGTGATAAAACAGTACCCCTTCACATAATCGCACCTAGCAAGCTTTATGTC
>B04f_NS3d_ABN10843_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MAFSASLFRTKTVHTEDAFCPRSAIQAEQPPNIIDCIPVAGYEAALITNALFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALLLAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMNHTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLGGNVSTVFVPSSDKTVPLHIIAPSKLYV >B05f_NS3d_ABN10852_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MAFSASLFRTKTVHTEDAFCPRSAIQAEQPPNIIDCIPVAGYEAALITNALFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALLLAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMNHTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLGGNVSTVFVPSSDKTVPLHIIAPSKLYV >BtTp_GX2012_NA_AIA62356_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MAFSASLFRTKTVHTEDALCPRSAIQAEQPPNIIDCIPVAGYEAALITNALFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALLLAYVVTFLILWTADRIRLSCAVGSVLPFVDMRSAYIRVDNGNSSVVVPMNHTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLGDNVSTVFVPSSDKTVPLHIIAPSKLYV >B07f_NS3d_ABN10861_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MAFSASLFRTKTVHTEDAFCPRSAIQAEQPPNIIDCIPVAGYEAALITNALFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALLLAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMNHTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLGGNVSTVFVPSSDKTVPLHIIAPSKLYV >CZ01_orf5_AWH65881_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 MAFSASLFRTKTVHTEDALCPRSAIQAEQPPNIIDCIPVAGYEAALITNALFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALLLAYVVTFLILWTADRIRLSCAVGSVLPFVDMRSAYIRVDNGNSSVVVPMNHTKHWFIRNFEQSCHCENCFYIHSSSYVYYTFISRLKISILVSVCDFSLGDNVSTVFVPSSDITVPLHIIAPSKLYV >CZ07_orf5_AWH65892_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 MAFSASLFRTKTVHTEDALCPRSAIQAEQPPNIIDCIPVAGYEAALITNALFLLVLFVFNPLTCRGNWIKAILFYSLLLYNMILAIFLVIDTQHFVSALLLAYVVTFLTLWTVDRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMNHTKHWFIRNFEQSCHCENCFYIHSSSYVQSTFISRLKISILVSVCDFSLGDNVSTVFVPSSDKTVPLHIIAPSKLYV >HKU4_1_B04f_NS3d_YP_001039957_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MAFSASLFRTKTVHTEDAFCPRSAIQAEQPPNIIDCIPVAGYEAALITNALFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALLLAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMNHTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLGGNVSTVFVPSSDKTVPLHIIAPSKLYV >LMH1f_NS3d_ABN10870_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MAFSASLFRTKTVHTEDAFCPRSTIQAEQPPNIIDCIPVAGYEAALITNALFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALLLAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMNHTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLGGNVSTVFVPSSDKTVPLHIIAPSKLYV >SM3A_NA_QQD78087_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4 MAFSASLFRTKTVHTEDAFCPRSAIQAEQPPNIIDCIPVAGYEAALITNALFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVVDTQHFVSALLLAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSSYIRVDNGNSSVVVPMNHTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLGGNVSTVFVPSSDKTVPLHIIAPSKLYV >SZ140324_orf5_AWH65903_1_2014_04_23_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 MAFSASLFRTKTVHTEDALCPRSAIQAEEPPNIIDCIPVAGYEAALVTNALFLLVLFVFNPLTCKGNWIKAILFYSLLLYNMILAIFLVIDTQHFVSALLLAYVVTFLVLWTADRIRLSCAVGSVLPFVDMRSAYIRVDNGNSSVVVPMNHTKHWFIRNFEQSCHCENCFYIHSSSYVECTFISRLKKSILVSVCDFSLGGNVSTVFVPSSDKTVPLHIIAPSKLYV
Reading sequence file /data//pss_subsets/B05f_NS3d_ABN10852_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result/original_alignment/codeml/fasta/B05f_NS3d_ABN10852_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result.1
Found 10 sequences of length 681
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 3.7%
Found 43 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 5
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 46 polymorphic sites
**p-Value(s)**
----------
NSS: 1.14e-01 (1000 permutations)
Max Chi^2: 1.06e-01 (1000 permutations)
PHI (Permutation): 3.00e-03 (1000 permutations)
PHI (Normal): 1.00e-03
#NEXUS
[ID: 1384548934]
begin taxa;
dimensions ntax=10;
taxlabels
B04f_NS3d_ABN10843_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4
SZ140324_orf5_AWH65903_1_2014_04_23_China_Unknown_Tylonycteris_bat_coronavirus_HKU4
B05f_NS3d_ABN10852_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4
BtTp_GX2012_NA_AIA62356_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4
B07f_NS3d_ABN10861_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4
CZ01_orf5_AWH65881_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4
CZ07_orf5_AWH65892_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4
HKU4_1_B04f_NS3d_YP_001039957_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4
LMH1f_NS3d_ABN10870_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4
SM3A_NA_QQD78087_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4
;
end;
begin trees;
translate
1 B04f_NS3d_ABN10843_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4,
2 SZ140324_orf5_AWH65903_1_2014_04_23_China_Unknown_Tylonycteris_bat_coronavirus_HKU4,
3 B05f_NS3d_ABN10852_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4,
4 BtTp_GX2012_NA_AIA62356_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4,
5 B07f_NS3d_ABN10861_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4,
6 CZ01_orf5_AWH65881_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4,
7 CZ07_orf5_AWH65892_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4,
8 HKU4_1_B04f_NS3d_YP_001039957_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4,
9 LMH1f_NS3d_ABN10870_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4,
10 SM3A_NA_QQD78087_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4
;
[Note: This tree contains information on the topology,
branch lengths (if present), and the probability
of the partition indicated by the branch.]
tree con_50_majrule = (1:1.038551e-03,3:1.023386e-03,5:1.021528e-03,8:9.884481e-04,9:2.421540e-03,10:2.396070e-03,(2:2.332705e-02,((4:1.429410e-03,6:9.590929e-03)0.990:1.663835e-02,7:3.878151e-02)1.000:4.386136e-02)0.993:1.468480e-02);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:1.038551e-03,3:1.023386e-03,5:1.021528e-03,8:9.884481e-04,9:2.421540e-03,10:2.396070e-03,(2:2.332705e-02,((4:1.429410e-03,6:9.590929e-03):1.663835e-02,7:3.878151e-02):4.386136e-02):1.468480e-02);
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 -1355.59 -1369.94
2 -1356.21 -1371.19
--------------------------------------
TOTAL -1355.85 -1370.75
--------------------------------------
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} 0.173214 0.000854 0.118697 0.230629 0.170277 1370.07 1435.53 1.000
r(A<->C){all} 0.033523 0.000690 0.000001 0.085633 0.027597 760.31 805.78 1.000
r(A<->G){all} 0.250811 0.003923 0.132474 0.377562 0.245840 495.80 678.35 1.000
r(A<->T){all} 0.109305 0.001065 0.049761 0.174581 0.105198 785.51 883.27 1.000
r(C<->G){all} 0.090191 0.002136 0.014197 0.182510 0.083084 553.76 607.24 1.000
r(C<->T){all} 0.443940 0.004775 0.301470 0.567849 0.443563 604.50 644.84 1.000
r(G<->T){all} 0.072231 0.001003 0.014619 0.133879 0.068290 597.32 640.46 1.000
pi(A){all} 0.250694 0.000254 0.219976 0.282238 0.250318 1153.18 1177.19 1.000
pi(C){all} 0.193129 0.000203 0.165768 0.221508 0.192914 690.12 894.99 1.000
pi(G){all} 0.170397 0.000200 0.141676 0.196262 0.170391 1283.54 1296.84 1.001
pi(T){all} 0.385780 0.000305 0.353005 0.421233 0.385481 1099.10 1113.93 1.000
alpha{1,2} 0.126585 0.016975 0.000054 0.338406 0.096793 1032.25 1068.52 1.000
alpha{3} 2.224599 1.730313 0.418932 5.003384 1.916790 1169.71 1291.45 1.000
pinvar{all} 0.471344 0.017307 0.199274 0.712017 0.486558 1012.78 1027.82 1.001
------------------------------------------------------------------------------------------------------
* 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/B05f_NS3d_ABN10852_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result.1
Model: One dN/dS ratio,
Codon frequency model: F3x4
Site-class models:
ns = 10 ls = 227
Codon usage in sequences
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 16 16 14 16 14 14 | Ser TCT 8 8 8 8 8 8 | Tyr TAT 7 7 7 7 8 7 | Cys TGT 7 7 6 7 5 5
TTC 1 1 2 1 2 2 | TCC 3 3 2 3 2 4 | TAC 1 1 1 1 2 1 | TGC 2 2 3 2 3 3
Leu TTA 8 8 10 8 10 10 | TCA 3 3 3 3 3 3 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 6 6 4 6 4 3 | TCG 1 1 1 1 1 1 | TAG 0 0 0 0 0 0 | Trp TGG 3 3 3 3 3 3
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 5 5 5 5 5 4 | Pro CCT 5 5 5 5 5 5 | His CAT 3 3 3 3 3 3 | Arg CGT 3 3 3 3 3 2
CTC 1 1 1 1 1 1 | CCC 2 2 2 2 2 2 | CAC 4 4 4 4 4 4 | CGC 1 1 1 1 1 1
CTA 4 4 4 4 4 4 | CCA 3 3 3 3 3 3 | Gln CAA 2 2 2 2 2 2 | CGA 1 1 2 1 2 1
CTG 1 1 2 1 2 4 | CCG 0 0 0 0 0 0 | CAG 2 2 2 2 2 3 | CGG 2 2 1 2 1 2
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 5 5 5 5 6 8 | Thr ACT 7 7 6 7 6 6 | Asn AAT 8 8 9 8 9 8 | Ser AGT 6 6 5 6 5 5
ATC 4 4 5 4 4 2 | ACC 1 1 2 1 2 2 | AAC 3 3 2 3 2 3 | AGC 2 2 3 2 3 3
ATA 8 8 8 8 10 9 | ACA 4 4 4 4 4 4 | Lys AAA 4 4 5 4 3 3 | Arg AGA 1 1 1 1 1 2
Met ATG 4 4 4 4 4 4 | ACG 0 0 0 0 0 1 | AAG 4 4 3 4 3 3 | AGG 0 0 0 0 0 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 14 14 16 14 16 15 | Ala GCT 9 9 9 9 9 7 | Asp GAT 5 5 4 5 4 6 | Gly GGT 3 3 3 3 3 3
GTC 6 6 3 6 3 3 | GCC 1 1 1 1 1 1 | GAC 3 3 5 3 5 3 | GGC 2 2 1 2 1 1
GTA 5 5 5 5 5 5 | GCA 6 6 7 6 7 7 | Glu GAA 4 4 4 4 4 4 | GGA 1 1 1 1 1 1
GTG 0 0 0 0 0 1 | GCG 0 0 0 0 0 0 | GAG 2 2 2 2 1 1 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------
Phe TTT 16 16 16 15 | Ser TCT 8 8 8 9 | Tyr TAT 7 7 7 7 | Cys TGT 7 7 7 7
TTC 1 1 1 1 | TCC 3 3 3 2 | TAC 1 1 1 1 | TGC 2 2 2 2
Leu TTA 8 8 8 8 | TCA 3 3 3 2 | *** TAA 0 0 0 0 | *** TGA 0 0 0 0
TTG 6 6 6 4 | TCG 1 1 1 1 | TAG 0 0 0 0 | Trp TGG 3 3 3 3
------------------------------------------------------------------------------------------------------
Leu CTT 5 5 5 5 | Pro CCT 5 5 5 5 | His CAT 3 3 3 2 | Arg CGT 3 3 3 3
CTC 1 1 1 1 | CCC 2 2 2 2 | CAC 4 4 4 5 | CGC 1 1 1 1
CTA 4 4 4 6 | CCA 3 3 3 3 | Gln CAA 2 2 2 2 | CGA 1 1 1 1
CTG 1 1 1 2 | CCG 0 0 0 0 | CAG 2 2 2 1 | CGG 2 2 2 1
------------------------------------------------------------------------------------------------------
Ile ATT 5 5 5 7 | Thr ACT 7 8 7 7 | Asn AAT 8 8 8 9 | Ser AGT 6 6 5 6
ATC 4 4 4 3 | ACC 1 1 1 1 | AAC 3 3 3 2 | AGC 2 2 3 2
ATA 8 8 8 7 | ACA 4 4 4 4 | Lys AAA 4 4 4 4 | Arg AGA 1 1 1 2
Met ATG 4 4 4 4 | ACG 0 0 0 0 | AAG 4 4 4 4 | AGG 0 0 0 0
------------------------------------------------------------------------------------------------------
Val GTT 14 14 14 14 | Ala GCT 9 8 9 10 | Asp GAT 5 5 5 4 | Gly GGT 3 3 3 3
GTC 6 6 6 6 | GCC 1 1 1 1 | GAC 3 3 3 4 | GGC 2 2 2 1
GTA 5 5 5 5 | GCA 6 6 6 6 | Glu GAA 4 4 4 4 | GGA 1 1 1 2
GTG 0 0 0 0 | GCG 0 0 0 0 | GAG 2 2 2 3 | GGG 0 0 0 0
------------------------------------------------------------------------------------------------------
Codon position x base (3x4) table for each sequence.
#1: C1
position 1: T:0.29075 C:0.17181 A:0.26872 G:0.26872
position 2: T:0.38767 C:0.23348 A:0.22907 G:0.14978
position 3: T:0.48899 C:0.16300 A:0.23789 G:0.11013
Average T:0.38913 C:0.18943 A:0.24523 G:0.17621
#2: C2
position 1: T:0.29075 C:0.17181 A:0.26872 G:0.26872
position 2: T:0.38767 C:0.23348 A:0.22907 G:0.14978
position 3: T:0.48899 C:0.16300 A:0.23789 G:0.11013
Average T:0.38913 C:0.18943 A:0.24523 G:0.17621
#3: C3
position 1: T:0.28194 C:0.17621 A:0.27313 G:0.26872
position 2: T:0.38767 C:0.23348 A:0.23348 G:0.14537
position 3: T:0.47577 C:0.16740 A:0.25991 G:0.09692
Average T:0.38179 C:0.19236 A:0.25551 G:0.17034
#4: C4
position 1: T:0.29075 C:0.17181 A:0.26872 G:0.26872
position 2: T:0.38767 C:0.23348 A:0.22907 G:0.14978
position 3: T:0.48899 C:0.16300 A:0.23789 G:0.11013
Average T:0.38913 C:0.18943 A:0.24523 G:0.17621
#5: C5
position 1: T:0.28634 C:0.17621 A:0.27313 G:0.26432
position 2: T:0.39648 C:0.23348 A:0.22907 G:0.14097
position 3: T:0.48018 C:0.16740 A:0.25991 G:0.09251
Average T:0.38767 C:0.19236 A:0.25404 G:0.16593
#6: C6
position 1: T:0.28194 C:0.18062 A:0.28194 G:0.25551
position 2: T:0.39207 C:0.23789 A:0.22467 G:0.14537
position 3: T:0.46696 C:0.15859 A:0.25551 G:0.11894
Average T:0.38032 C:0.19236 A:0.25404 G:0.17327
#7: C7
position 1: T:0.29075 C:0.17181 A:0.26872 G:0.26872
position 2: T:0.38767 C:0.23348 A:0.22907 G:0.14978
position 3: T:0.48899 C:0.16300 A:0.23789 G:0.11013
Average T:0.38913 C:0.18943 A:0.24523 G:0.17621
#8: C8
position 1: T:0.29075 C:0.17181 A:0.27313 G:0.26432
position 2: T:0.38767 C:0.23348 A:0.22907 G:0.14978
position 3: T:0.48899 C:0.16300 A:0.23789 G:0.11013
Average T:0.38913 C:0.18943 A:0.24670 G:0.17474
#9: C9
position 1: T:0.29075 C:0.17181 A:0.26872 G:0.26872
position 2: T:0.38767 C:0.23348 A:0.22907 G:0.14978
position 3: T:0.48458 C:0.16740 A:0.23789 G:0.11013
Average T:0.38767 C:0.19090 A:0.24523 G:0.17621
#10: C10
position 1: T:0.27313 C:0.17621 A:0.27313 G:0.27753
position 2: T:0.38767 C:0.23348 A:0.22907 G:0.14978
position 3: T:0.49780 C:0.15419 A:0.24670 G:0.10132
Average T:0.38620 C:0.18796 A:0.24963 G:0.17621
Sums of codon usage counts
------------------------------------------------------------------------------
Phe F TTT 153 | Ser S TCT 81 | Tyr Y TAT 71 | Cys C TGT 65
TTC 13 | TCC 28 | TAC 11 | TGC 23
Leu L TTA 86 | TCA 29 | *** * TAA 0 | *** * TGA 0
TTG 51 | TCG 10 | TAG 0 | Trp W TGG 30
------------------------------------------------------------------------------
Leu L CTT 49 | Pro P CCT 50 | His H CAT 29 | Arg R CGT 29
CTC 10 | CCC 20 | CAC 41 | CGC 10
CTA 42 | CCA 30 | Gln Q CAA 20 | CGA 12
CTG 16 | CCG 0 | CAG 20 | CGG 17
------------------------------------------------------------------------------
Ile I ATT 56 | Thr T ACT 68 | Asn N AAT 83 | Ser S AGT 56
ATC 38 | ACC 13 | AAC 27 | AGC 24
ATA 82 | ACA 40 | Lys K AAA 39 | Arg R AGA 12
Met M ATG 40 | ACG 1 | AAG 37 | AGG 1
------------------------------------------------------------------------------
Val V GTT 145 | Ala A GCT 88 | Asp D GAT 48 | Gly G GGT 30
GTC 51 | GCC 10 | GAC 35 | GGC 16
GTA 50 | GCA 63 | Glu E GAA 40 | GGA 11
GTG 1 | GCG 0 | GAG 19 | GGG 0
------------------------------------------------------------------------------
Codon position x base (3x4) table, overall
position 1: T:0.28678 C:0.17401 A:0.27181 G:0.26740
position 2: T:0.38899 C:0.23392 A:0.22907 G:0.14802
position 3: T:0.48502 C:0.16300 A:0.24493 G:0.10705
Average T:0.38693 C:0.19031 A:0.24860 G:0.17416
Model 1: NearlyNeutral (2 categories)
TREE # 1: (1, 2, 4, 7, 8, 9, (10, ((3, 5), 6))); MP score: 75
lnL(ntime: 13 np: 16): -1286.942147 +0.000000
11..1 11..2 11..4 11..7 11..8 11..9 11..12 12..10 12..13 13..14 14..3 14..5 13..6
0.000004 0.000004 0.000004 0.000004 0.004764 0.004758 0.039311 0.068207 0.125013 0.046209 0.000004 0.029024 0.115696 3.001374 0.899109 0.000001
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.433002
(1: 0.000004, 2: 0.000004, 4: 0.000004, 7: 0.000004, 8: 0.004764, 9: 0.004758, (10: 0.068207, ((3: 0.000004, 5: 0.029024): 0.046209, 6: 0.115696): 0.125013): 0.039311);
(C1: 0.000004, C2: 0.000004, C4: 0.000004, C7: 0.000004, C8: 0.004764, C9: 0.004758, (C10: 0.068207, ((C3: 0.000004, C5: 0.029024): 0.046209, C6: 0.115696): 0.125013): 0.039311);
Detailed output identifying parameters
kappa (ts/tv) = 3.00137
MLEs of dN/dS (w) for site classes (K=2)
p: 0.89911 0.10089
w: 0.00000 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
11..1 0.000 528.9 152.1 0.1009 0.0000 0.0000 0.0 0.0
11..2 0.000 528.9 152.1 0.1009 0.0000 0.0000 0.0 0.0
11..4 0.000 528.9 152.1 0.1009 0.0000 0.0000 0.0 0.0
11..7 0.000 528.9 152.1 0.1009 0.0000 0.0000 0.0 0.0
11..8 0.005 528.9 152.1 0.1009 0.0005 0.0053 0.3 0.8
11..9 0.005 528.9 152.1 0.1009 0.0005 0.0053 0.3 0.8
11..12 0.039 528.9 152.1 0.1009 0.0044 0.0434 2.3 6.6
12..10 0.068 528.9 152.1 0.1009 0.0076 0.0754 4.0 11.5
12..13 0.125 528.9 152.1 0.1009 0.0139 0.1381 7.4 21.0
13..14 0.046 528.9 152.1 0.1009 0.0052 0.0511 2.7 7.8
14..3 0.000 528.9 152.1 0.1009 0.0000 0.0000 0.0 0.0
14..5 0.029 528.9 152.1 0.1009 0.0032 0.0321 1.7 4.9
13..6 0.116 528.9 152.1 0.1009 0.0129 0.1278 6.8 19.4
Time used: 0:12
Model 2: PositiveSelection (3 categories)
TREE # 1: (1, 2, 4, 7, 8, 9, (10, ((3, 5), 6))); MP score: 75
check convergence..
lnL(ntime: 13 np: 18): -1286.646878 +0.000000
11..1 11..2 11..4 11..7 11..8 11..9 11..12 12..10 12..13 13..14 14..3 14..5 13..6
0.000004 0.000004 0.000004 0.000004 0.004886 0.004880 0.040414 0.070223 0.128937 0.048045 0.000004 0.029832 0.119469 3.114541 0.900419 0.094693 0.000001 5.745132
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.446706
(1: 0.000004, 2: 0.000004, 4: 0.000004, 7: 0.000004, 8: 0.004886, 9: 0.004880, (10: 0.070223, ((3: 0.000004, 5: 0.029832): 0.048045, 6: 0.119469): 0.128937): 0.040414);
(C1: 0.000004, C2: 0.000004, C4: 0.000004, C7: 0.000004, C8: 0.004886, C9: 0.004880, (C10: 0.070223, ((C3: 0.000004, C5: 0.029832): 0.048045, C6: 0.119469): 0.128937): 0.040414);
Detailed output identifying parameters
kappa (ts/tv) = 3.11454
MLEs of dN/dS (w) for site classes (K=3)
p: 0.90042 0.09469 0.00489
w: 0.00000 1.00000 5.74513
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
11..1 0.000 528.3 152.7 0.1228 0.0000 0.0000 0.0 0.0
11..2 0.000 528.3 152.7 0.1228 0.0000 0.0000 0.0 0.0
11..4 0.000 528.3 152.7 0.1228 0.0000 0.0000 0.0 0.0
11..7 0.000 528.3 152.7 0.1228 0.0000 0.0000 0.0 0.0
11..8 0.005 528.3 152.7 0.1228 0.0006 0.0051 0.3 0.8
11..9 0.005 528.3 152.7 0.1228 0.0006 0.0051 0.3 0.8
11..12 0.040 528.3 152.7 0.1228 0.0052 0.0422 2.7 6.4
12..10 0.070 528.3 152.7 0.1228 0.0090 0.0733 4.8 11.2
12..13 0.129 528.3 152.7 0.1228 0.0165 0.1345 8.7 20.5
13..14 0.048 528.3 152.7 0.1228 0.0062 0.0501 3.3 7.7
14..3 0.000 528.3 152.7 0.1228 0.0000 0.0000 0.0 0.0
14..5 0.030 528.3 152.7 0.1228 0.0038 0.0311 2.0 4.8
13..6 0.119 528.3 152.7 0.1228 0.0153 0.1247 8.1 19.0
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C1)
Pr(w>1) post mean +- SE for w
179 E 0.621 3.944
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: C1)
Pr(w>1) post mean +- SE for w
109 V 0.703 2.748 +- 1.946
179 E 0.891 3.328 +- 1.964
188 K 0.611 2.392 +- 1.794
The grid (see ternary graph for p0-p1)
w0: 0.050 0.150 0.250 0.350 0.450 0.550 0.650 0.750 0.850 0.950
w2: 1.500 2.500 3.500 4.500 5.500 6.500 7.500 8.500 9.500 10.500
Posterior on the grid
w0: 1.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
w2: 0.219 0.282 0.203 0.122 0.071 0.042 0.026 0.017 0.011 0.007
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 0.002
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.009 0.989
sum of density on p0-p1 = 1.000000
Time used: 0:36
Model 7: beta (10 categories)
TREE # 1: (1, 2, 4, 7, 8, 9, (10, ((3, 5), 6))); MP score: 75
lnL(ntime: 13 np: 16): -1286.942686 +0.000000
11..1 11..2 11..4 11..7 11..8 11..9 11..12 12..10 12..13 13..14 14..3 14..5 13..6
0.000004 0.000004 0.000004 0.000004 0.004757 0.004751 0.039258 0.068120 0.124866 0.046144 0.000004 0.028985 0.115551 2.999760 0.005000 0.048643
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.432452
(1: 0.000004, 2: 0.000004, 4: 0.000004, 7: 0.000004, 8: 0.004757, 9: 0.004751, (10: 0.068120, ((3: 0.000004, 5: 0.028985): 0.046144, 6: 0.115551): 0.124866): 0.039258);
(C1: 0.000004, C2: 0.000004, C4: 0.000004, C7: 0.000004, C8: 0.004757, C9: 0.004751, (C10: 0.068120, ((C3: 0.000004, C5: 0.028985): 0.046144, C6: 0.115551): 0.124866): 0.039258);
Detailed output identifying parameters
kappa (ts/tv) = 2.99976
Parameters in M7 (beta):
p = 0.00500 q = 0.04864
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 0.00000 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
11..1 0.000 528.9 152.1 0.1000 0.0000 0.0000 0.0 0.0
11..2 0.000 528.9 152.1 0.1000 0.0000 0.0000 0.0 0.0
11..4 0.000 528.9 152.1 0.1000 0.0000 0.0000 0.0 0.0
11..7 0.000 528.9 152.1 0.1000 0.0000 0.0000 0.0 0.0
11..8 0.005 528.9 152.1 0.1000 0.0005 0.0053 0.3 0.8
11..9 0.005 528.9 152.1 0.1000 0.0005 0.0053 0.3 0.8
11..12 0.039 528.9 152.1 0.1000 0.0043 0.0435 2.3 6.6
12..10 0.068 528.9 152.1 0.1000 0.0075 0.0754 4.0 11.5
12..13 0.125 528.9 152.1 0.1000 0.0138 0.1383 7.3 21.0
13..14 0.046 528.9 152.1 0.1000 0.0051 0.0511 2.7 7.8
14..3 0.000 528.9 152.1 0.1000 0.0000 0.0000 0.0 0.0
14..5 0.029 528.9 152.1 0.1000 0.0032 0.0321 1.7 4.9
13..6 0.116 528.9 152.1 0.1000 0.0128 0.1280 6.8 19.5
Time used: 1:44
Model 8: beta&w>1 (11 categories)
TREE # 1: (1, 2, 4, 7, 8, 9, (10, ((3, 5), 6))); MP score: 75
lnL(ntime: 13 np: 18): -1286.855197 +0.000000
11..1 11..2 11..4 11..7 11..8 11..9 11..12 12..10 12..13 13..14 14..3 14..5 13..6
0.000004 0.000004 0.000004 0.000004 0.004775 0.004768 0.039422 0.068362 0.125803 0.046683 0.000004 0.029083 0.116292 3.047153 0.905444 0.005000 2.260113 1.170680
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.435209
(1: 0.000004, 2: 0.000004, 4: 0.000004, 7: 0.000004, 8: 0.004775, 9: 0.004768, (10: 0.068362, ((3: 0.000004, 5: 0.029083): 0.046683, 6: 0.116292): 0.125803): 0.039422);
(C1: 0.000004, C2: 0.000004, C4: 0.000004, C7: 0.000004, C8: 0.004775, C9: 0.004768, (C10: 0.068362, ((C3: 0.000004, C5: 0.029083): 0.046683, C6: 0.116292): 0.125803): 0.039422);
Detailed output identifying parameters
kappa (ts/tv) = 3.04715
Parameters in M8 (beta&w>1):
p0 = 0.90544 p = 0.00500 q = 2.26011
(p1 = 0.09456) w = 1.17068
MLEs of dN/dS (w) for site classes (K=11)
p: 0.09054 0.09054 0.09054 0.09054 0.09054 0.09054 0.09054 0.09054 0.09054 0.09054 0.09456
w: 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00001 1.17068
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
11..1 0.000 528.7 152.3 0.1107 0.0000 0.0000 0.0 0.0
11..2 0.000 528.7 152.3 0.1107 0.0000 0.0000 0.0 0.0
11..4 0.000 528.7 152.3 0.1107 0.0000 0.0000 0.0 0.0
11..7 0.000 528.7 152.3 0.1107 0.0000 0.0000 0.0 0.0
11..8 0.005 528.7 152.3 0.1107 0.0006 0.0051 0.3 0.8
11..9 0.005 528.7 152.3 0.1107 0.0006 0.0051 0.3 0.8
11..12 0.039 528.7 152.3 0.1107 0.0047 0.0424 2.5 6.5
12..10 0.068 528.7 152.3 0.1107 0.0081 0.0736 4.3 11.2
12..13 0.126 528.7 152.3 0.1107 0.0150 0.1354 7.9 20.6
13..14 0.047 528.7 152.3 0.1107 0.0056 0.0503 2.9 7.7
14..3 0.000 528.7 152.3 0.1107 0.0000 0.0000 0.0 0.0
14..5 0.029 528.7 152.3 0.1107 0.0035 0.0313 1.8 4.8
13..6 0.116 528.7 152.3 0.1107 0.0139 0.1252 7.3 19.1
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C1)
Pr(w>1) post mean +- SE for w
19 F 1.000** 1.171
24 A 1.000** 1.171
29 Q 1.000** 1.171
47 I 1.000** 1.171
65 K 1.000** 1.171
90 V 1.000** 1.171
109 V 1.000** 1.171
113 A 1.000** 1.171
134 S 1.000** 1.171
179 E 1.000** 1.171
180 C 1.000** 1.171
188 K 1.000** 1.171
201 G 1.000** 1.171
213 K 1.000** 1.171
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: C1)
Pr(w>1) post mean +- SE for w
109 V 0.797 2.361 +- 1.607
134 S 0.569 1.707 +- 1.497
179 E 0.952* 2.725 +- 1.516
180 C 0.618 1.801 +- 1.447
188 K 0.726 2.138 +- 1.555
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 : 1.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
q : 0.000 0.000 0.000 0.001 0.010 0.037 0.090 0.173 0.281 0.409
ws: 0.352 0.322 0.170 0.079 0.038 0.019 0.010 0.006 0.003 0.002
Time used: 3:05
Model 1: NearlyNeutral -1286.942147 Model 2: PositiveSelection -1286.646878 Model 7: beta -1286.942686 Model 8: beta&w>1 -1286.855197 Model 2 vs 1 .590538 Model 8 vs 7 .174978
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
