--- 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 -2017.90 -2035.61
2 -2017.74 -2037.77
--------------------------------------
TOTAL -2017.81 -2037.19
--------------------------------------
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} 0.058485 0.000241 0.033125 0.088984 0.056312 811.79 815.68 1.000
r(A<->C){all} 0.018134 0.000324 0.000001 0.053721 0.013210 715.03 902.11 1.000
r(A<->G){all} 0.233928 0.006113 0.100618 0.393894 0.228068 460.08 496.97 1.000
r(A<->T){all} 0.156151 0.002969 0.053713 0.257008 0.150036 465.32 489.94 1.001
r(C<->G){all} 0.023321 0.000489 0.000010 0.068870 0.016589 630.42 749.46 1.001
r(C<->T){all} 0.513373 0.007240 0.356274 0.687321 0.514469 449.42 487.38 1.000
r(G<->T){all} 0.055093 0.001533 0.000041 0.127008 0.048357 451.37 477.14 1.000
pi(A){all} 0.283483 0.000156 0.259508 0.307378 0.283571 1259.80 1282.78 1.000
pi(C){all} 0.244555 0.000144 0.219867 0.265853 0.244344 1076.21 1204.90 1.000
pi(G){all} 0.218897 0.000126 0.196741 0.240482 0.218843 1086.71 1183.31 1.000
pi(T){all} 0.253065 0.000143 0.229424 0.275926 0.252768 1219.60 1278.24 1.000
alpha{1,2} 0.117761 0.047519 0.000048 0.344117 0.069431 818.98 909.14 1.000
alpha{3} 2.357981 1.864415 0.231766 5.058243 2.099297 1261.27 1307.52 1.000
pinvar{all} 0.768723 0.016427 0.510424 0.907126 0.807058 584.46 614.04 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
--- CODEML SUMMARY
Model 1: NearlyNeutral -1930.092008
Model 2: PositiveSelection -1929.144794
Model 7: beta -1930.296122
Model 8: beta&w>1 -1929.148849
Model 2 vs 1 1.894428
Model 8 vs 7 2.294546
-- Starting log on Wed Oct 26 22:52:54 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result--
CLUSTAL FORMAT for T-COFFEE Version_12.00.7fb08c2 [http://www.tcoffee.org] [MODE: ], CPU=0.07 sec, SCORE=1000, Nseq=10, Len=423
C1 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
C2 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
C3 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
C4 MATPAAPRTISFADNNDNQSNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
C5 MATPAAPRTISFADNNDNQSNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
C6 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
C7 MATPAAPRTISFADNNDNQSNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
C8 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
C9 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
C10 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
*******************.******************************
C1 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
C2 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
C3 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
C4 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
C5 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
C6 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
C7 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
C8 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
C9 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
C10 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
**************************************************
C1 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
C2 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
C3 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
C4 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
C5 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
C6 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
C7 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
C8 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
C9 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
C10 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
**************************************************
C1 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSSSRGGRSTSNSRGTS
C2 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSSSRGGRSTSNSRGTS
C3 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSSSRGGRSTSNSRGTS
C4 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS
C5 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS
C6 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSSSRGGRSTSNSRGTS
C7 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS
C8 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS
C9 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS
C10 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS
***********************************.**************
C1 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
C2 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
C3 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
C4 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
C5 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
C6 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
C7 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
C8 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
C9 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
C10 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
**************************************************
C1 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
C2 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
C3 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
C4 MRHKRVATKSFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
C5 MRHKRVATKSFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
C6 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
C7 MRHKRVATKSFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
C8 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
C9 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
C10 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
*********.****************************************
C1 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
C2 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
C3 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
C4 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
C5 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
C6 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
C7 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
C8 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
C9 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
C10 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
**************************************************
C1 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
C2 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
C3 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
C4 LLEANIDAYKTFPKKERKPKTTEDGAVSSSSASQMEDVDAKPQRKPKSRV
C5 LLEANIDAYKTFPKKERKPKTTEDGAVSSSSASQMEDVDAKPQRKPKSRV
C6 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
C7 LLEANIDAYKTFPKKERKPKTTEDGAVSSSSASQMEDVDAKPQRKPKSRV
C8 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
C9 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
C10 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
***:***********************:**********************
C1 AGSITMRSGSLPALQDVTFDSEA
C2 AGSITMRSGSLPALQDVTFDSEA
C3 AGSITMRSGSLPALQDVTFDSEA
C4 AGSITMRSGSSPALQDVTFDSEA
C5 AGSITMRSGSSPALQDVTFDSEA
C6 AGSITMRSGSLPALQDVTFDSEA
C7 AGSITMRSGSSPALQDVTFDSEA
C8 AGSITMRSGSSPALQDVTFNSEA
C9 AGSITMRSGSSPALQDVTFDSEA
C10 AGSITMRSGSSPALQDVTFNSEA
********** ********:***
-- Starting log on Wed Oct 26 22:53:40 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/B05f_N_ABN10855_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=423
C1 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
C2 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
C3 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
C4 MATPAAPRTISFADNNDNQSNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
C5 MATPAAPRTISFADNNDNQSNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
C6 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
C7 MATPAAPRTISFADNNDNQSNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
C8 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
C9 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
C10 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
*******************.******************************
C1 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
C2 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
C3 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
C4 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
C5 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
C6 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
C7 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
C8 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
C9 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
C10 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
**************************************************
C1 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
C2 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
C3 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
C4 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
C5 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
C6 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
C7 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
C8 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
C9 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
C10 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
**************************************************
C1 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSSSRGGRSTSNSRGTS
C2 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSSSRGGRSTSNSRGTS
C3 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSSSRGGRSTSNSRGTS
C4 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS
C5 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS
C6 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSSSRGGRSTSNSRGTS
C7 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS
C8 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS
C9 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS
C10 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS
***********************************.**************
C1 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
C2 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
C3 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
C4 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
C5 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
C6 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
C7 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
C8 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
C9 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
C10 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
**************************************************
C1 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
C2 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
C3 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
C4 MRHKRVATKSFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
C5 MRHKRVATKSFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
C6 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
C7 MRHKRVATKSFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
C8 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
C9 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
C10 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
*********.****************************************
C1 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
C2 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
C3 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
C4 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
C5 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
C6 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
C7 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
C8 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
C9 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
C10 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
**************************************************
C1 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
C2 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
C3 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
C4 LLEANIDAYKTFPKKERKPKTTEDGAVSSSSASQMEDVDAKPQRKPKSRV
C5 LLEANIDAYKTFPKKERKPKTTEDGAVSSSSASQMEDVDAKPQRKPKSRV
C6 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
C7 LLEANIDAYKTFPKKERKPKTTEDGAVSSSSASQMEDVDAKPQRKPKSRV
C8 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
C9 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
C10 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
***:***********************:**********************
C1 AGSITMRSGSLPALQDVTFDSEA
C2 AGSITMRSGSLPALQDVTFDSEA
C3 AGSITMRSGSLPALQDVTFDSEA
C4 AGSITMRSGSSPALQDVTFDSEA
C5 AGSITMRSGSSPALQDVTFDSEA
C6 AGSITMRSGSLPALQDVTFDSEA
C7 AGSITMRSGSSPALQDVTFDSEA
C8 AGSITMRSGSSPALQDVTFNSEA
C9 AGSITMRSGSSPALQDVTFDSEA
C10 AGSITMRSGSSPALQDVTFNSEA
********** ********:***
-- Starting log on Wed Oct 26 23:14:46 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result/gapped_alignment/codeml,B05f_N_ABN10855_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 1269 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) = 1666826088
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) = 1057357505
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 = 1821196272
Seed = 378185632
Swapseed = 1666826088
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 9 unique site patterns
Division 2 has 6 unique site patterns
Division 3 has 18 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 -- -2732.402152 -- 35.653401
Chain 2 -- -2732.424978 -- 35.653401
Chain 3 -- -2738.622345 -- 35.653401
Chain 4 -- -2570.806718 -- 35.653401
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -2710.569998 -- 35.653401
Chain 2 -- -2718.088357 -- 35.653401
Chain 3 -- -2734.723736 -- 35.653401
Chain 4 -- -2740.959123 -- 35.653401
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-2732.402] (-2732.425) (-2738.622) (-2570.807) * [-2710.570] (-2718.088) (-2734.724) (-2740.959)
1000 -- [-2049.415] (-2051.467) (-2052.690) (-2049.711) * [-2048.135] (-2073.971) (-2052.188) (-2052.089) -- 0:16:39
2000 -- (-2057.241) [-2040.425] (-2052.754) (-2045.879) * [-2042.983] (-2047.472) (-2038.956) (-2069.410) -- 0:08:19
3000 -- (-2048.563) [-2034.783] (-2037.237) (-2044.373) * (-2051.028) (-2049.859) [-2038.221] (-2050.852) -- 0:05:32
4000 -- [-2043.484] (-2045.051) (-2037.395) (-2036.911) * (-2043.909) (-2044.737) (-2032.594) [-2038.276] -- 0:04:09
5000 -- (-2042.374) (-2027.512) [-2030.059] (-2042.101) * (-2046.893) [-2039.688] (-2025.762) (-2038.594) -- 0:03:19
Average standard deviation of split frequencies: 0.082703
6000 -- [-2038.703] (-2037.097) (-2033.254) (-2044.585) * (-2032.211) (-2032.442) [-2029.753] (-2036.032) -- 0:05:31
7000 -- (-2034.686) (-2033.189) (-2033.658) [-2029.852] * (-2039.002) (-2036.977) [-2023.305] (-2033.966) -- 0:04:43
8000 -- (-2040.732) (-2029.629) [-2030.279] (-2034.506) * [-2031.364] (-2034.786) (-2025.581) (-2030.374) -- 0:04:08
9000 -- (-2032.606) (-2025.925) (-2043.636) [-2030.563] * (-2032.092) (-2040.097) [-2025.021] (-2029.354) -- 0:03:40
10000 -- (-2028.740) [-2021.552] (-2032.119) (-2031.458) * [-2033.983] (-2029.996) (-2030.095) (-2047.354) -- 0:04:57
Average standard deviation of split frequencies: 0.067454
11000 -- [-2030.861] (-2026.593) (-2024.858) (-2039.066) * (-2030.389) (-2031.850) [-2026.279] (-2037.778) -- 0:04:29
12000 -- [-2028.298] (-2022.662) (-2024.589) (-2036.609) * (-2026.489) [-2026.194] (-2032.490) (-2040.078) -- 0:04:07
13000 -- [-2032.412] (-2021.316) (-2025.236) (-2029.438) * (-2031.902) [-2025.442] (-2017.963) (-2039.331) -- 0:03:47
14000 -- (-2035.926) (-2022.384) (-2039.133) [-2026.847] * (-2025.113) (-2024.749) [-2023.520] (-2034.316) -- 0:03:31
15000 -- (-2040.103) (-2030.519) [-2023.643] (-2039.795) * (-2031.204) (-2023.948) [-2023.113] (-2027.127) -- 0:04:22
Average standard deviation of split frequencies: 0.049622
16000 -- (-2036.020) (-2020.962) (-2020.605) [-2029.899] * (-2036.936) (-2022.746) (-2020.257) [-2027.368] -- 0:04:06
17000 -- [-2024.359] (-2029.944) (-2024.593) (-2036.733) * (-2029.067) (-2030.670) (-2019.281) [-2037.889] -- 0:03:51
18000 -- (-2020.110) (-2031.463) (-2024.864) [-2030.283] * [-2017.304] (-2036.432) (-2021.556) (-2033.344) -- 0:03:38
19000 -- (-2032.182) [-2022.625] (-2023.343) (-2028.977) * [-2024.015] (-2028.507) (-2021.815) (-2021.375) -- 0:04:18
20000 -- (-2022.817) (-2028.832) (-2021.084) [-2022.922] * (-2030.136) [-2021.261] (-2041.784) (-2028.234) -- 0:04:05
Average standard deviation of split frequencies: 0.046820
21000 -- (-2030.884) [-2022.816] (-2022.643) (-2038.863) * (-2027.651) (-2026.286) (-2029.534) [-2025.109] -- 0:03:53
22000 -- (-2029.051) [-2024.359] (-2021.455) (-2023.515) * (-2024.827) (-2028.231) [-2021.285] (-2016.492) -- 0:03:42
23000 -- (-2025.242) (-2020.540) (-2020.323) [-2028.482] * (-2021.086) [-2022.481] (-2033.167) (-2019.745) -- 0:03:32
24000 -- (-2029.773) [-2027.411] (-2019.935) (-2023.504) * (-2019.968) (-2026.417) [-2026.282] (-2020.697) -- 0:04:04
25000 -- [-2024.684] (-2026.969) (-2032.258) (-2020.289) * (-2035.146) [-2023.892] (-2028.662) (-2044.778) -- 0:03:54
Average standard deviation of split frequencies: 0.045327
26000 -- [-2019.376] (-2017.656) (-2020.463) (-2026.884) * [-2028.046] (-2028.298) (-2021.398) (-2032.622) -- 0:03:44
27000 -- (-2017.326) (-2019.674) [-2022.912] (-2023.483) * (-2019.871) [-2022.418] (-2019.953) (-2031.481) -- 0:03:36
28000 -- (-2031.796) [-2021.936] (-2033.243) (-2023.491) * (-2019.523) (-2018.317) (-2027.361) [-2020.254] -- 0:03:28
29000 -- (-2032.297) [-2020.331] (-2019.225) (-2026.694) * (-2022.309) [-2028.492] (-2030.794) (-2021.852) -- 0:03:54
30000 -- (-2019.188) (-2026.260) [-2029.900] (-2025.722) * (-2025.865) (-2023.450) [-2029.332] (-2021.108) -- 0:03:46
Average standard deviation of split frequencies: 0.053802
31000 -- [-2018.482] (-2020.435) (-2029.635) (-2037.778) * (-2024.271) [-2020.885] (-2025.604) (-2018.745) -- 0:03:38
32000 -- (-2023.715) (-2025.055) [-2043.592] (-2024.530) * (-2028.885) (-2017.929) [-2029.705] (-2014.888) -- 0:03:31
33000 -- (-2022.987) [-2024.642] (-2034.072) (-2022.925) * (-2021.628) (-2028.246) (-2030.308) [-2021.572] -- 0:03:54
34000 -- (-2028.242) (-2016.129) [-2029.288] (-2031.611) * [-2025.238] (-2023.479) (-2025.762) (-2019.189) -- 0:03:47
35000 -- (-2028.824) (-2032.986) (-2022.622) [-2031.662] * (-2017.421) [-2020.129] (-2020.969) (-2015.119) -- 0:03:40
Average standard deviation of split frequencies: 0.048450
36000 -- [-2019.352] (-2021.012) (-2025.104) (-2028.477) * (-2023.164) (-2024.043) [-2020.788] (-2026.427) -- 0:03:34
37000 -- [-2021.284] (-2024.912) (-2025.087) (-2032.878) * [-2021.078] (-2031.864) (-2020.000) (-2022.334) -- 0:03:28
38000 -- (-2032.530) (-2028.386) (-2018.540) [-2021.615] * (-2023.058) [-2018.554] (-2031.288) (-2031.305) -- 0:03:47
39000 -- (-2019.047) [-2020.929] (-2024.957) (-2033.022) * (-2025.493) (-2025.848) (-2028.506) [-2026.823] -- 0:03:41
40000 -- (-2028.918) (-2033.817) (-2029.303) [-2022.900] * (-2026.437) [-2027.376] (-2039.069) (-2030.923) -- 0:03:36
Average standard deviation of split frequencies: 0.041731
41000 -- (-2033.278) [-2025.515] (-2023.717) (-2037.372) * (-2027.322) [-2019.161] (-2028.657) (-2025.879) -- 0:03:30
42000 -- (-2034.024) [-2020.506] (-2032.223) (-2028.970) * [-2028.125] (-2032.790) (-2023.961) (-2023.877) -- 0:03:25
43000 -- [-2027.631] (-2018.098) (-2021.344) (-2034.172) * [-2015.513] (-2036.696) (-2030.860) (-2042.525) -- 0:03:42
44000 -- (-2039.967) (-2025.349) (-2028.333) [-2027.971] * (-2026.570) (-2031.539) [-2028.712] (-2032.749) -- 0:03:37
45000 -- (-2034.680) (-2020.868) (-2024.471) [-2031.401] * (-2032.338) (-2033.572) [-2027.401] (-2029.995) -- 0:03:32
Average standard deviation of split frequencies: 0.049702
46000 -- [-2031.584] (-2021.517) (-2030.359) (-2029.325) * (-2024.447) (-2025.455) [-2024.889] (-2030.795) -- 0:03:27
47000 -- (-2031.407) (-2023.023) (-2029.821) [-2026.115] * (-2023.270) (-2025.492) [-2034.055] (-2023.745) -- 0:03:43
48000 -- (-2027.940) (-2029.582) [-2027.507] (-2020.173) * (-2025.947) (-2020.131) [-2032.895] (-2019.647) -- 0:03:38
49000 -- [-2025.579] (-2022.469) (-2031.993) (-2025.345) * (-2026.590) [-2020.270] (-2025.600) (-2023.910) -- 0:03:33
50000 -- (-2029.434) (-2016.776) [-2023.120] (-2020.690) * (-2021.448) (-2028.261) (-2029.801) [-2026.987] -- 0:03:29
Average standard deviation of split frequencies: 0.051637
51000 -- (-2029.656) (-2026.310) [-2037.524] (-2024.257) * [-2024.582] (-2025.815) (-2026.559) (-2030.505) -- 0:03:43
52000 -- (-2020.325) (-2031.250) [-2022.401] (-2022.460) * (-2019.456) (-2031.240) (-2031.620) [-2029.663] -- 0:03:38
53000 -- (-2023.003) (-2037.313) [-2018.636] (-2027.727) * (-2027.051) (-2021.961) [-2027.226] (-2019.000) -- 0:03:34
54000 -- [-2026.141] (-2025.648) (-2015.922) (-2026.620) * [-2023.394] (-2026.284) (-2033.430) (-2026.083) -- 0:03:30
55000 -- (-2021.252) (-2015.351) (-2033.120) [-2026.105] * (-2027.079) [-2018.574] (-2035.999) (-2027.069) -- 0:03:26
Average standard deviation of split frequencies: 0.051349
56000 -- (-2016.153) [-2018.171] (-2030.465) (-2027.675) * (-2023.976) (-2026.486) (-2029.004) [-2026.661] -- 0:03:39
57000 -- (-2024.579) (-2019.782) [-2023.339] (-2029.055) * (-2037.876) (-2017.830) (-2023.138) [-2025.259] -- 0:03:35
58000 -- [-2016.354] (-2027.531) (-2033.529) (-2023.994) * [-2027.052] (-2026.893) (-2033.050) (-2029.179) -- 0:03:31
59000 -- (-2020.581) [-2021.228] (-2020.739) (-2046.271) * [-2027.769] (-2017.306) (-2023.524) (-2024.417) -- 0:03:27
60000 -- (-2021.650) (-2028.458) (-2028.925) [-2026.736] * [-2023.740] (-2032.631) (-2030.880) (-2031.388) -- 0:03:39
Average standard deviation of split frequencies: 0.045845
61000 -- (-2021.273) (-2029.791) [-2024.865] (-2030.619) * (-2027.172) [-2032.667] (-2027.004) (-2026.939) -- 0:03:35
62000 -- (-2018.239) (-2034.525) [-2028.616] (-2030.556) * (-2021.335) (-2030.542) [-2023.286] (-2022.362) -- 0:03:31
63000 -- (-2023.281) (-2024.858) [-2028.276] (-2023.082) * (-2018.701) (-2026.083) [-2022.875] (-2022.748) -- 0:03:28
64000 -- (-2031.981) (-2028.813) [-2020.275] (-2018.911) * [-2032.028] (-2024.708) (-2028.598) (-2026.071) -- 0:03:24
65000 -- [-2027.184] (-2026.903) (-2030.207) (-2024.988) * (-2032.140) (-2029.506) (-2026.729) [-2026.264] -- 0:03:35
Average standard deviation of split frequencies: 0.044998
66000 -- (-2022.151) [-2026.059] (-2017.350) (-2015.948) * (-2033.918) (-2019.425) [-2019.767] (-2028.275) -- 0:03:32
67000 -- (-2036.845) (-2026.373) (-2031.021) [-2018.737] * (-2027.895) (-2026.140) (-2027.684) [-2021.901] -- 0:03:28
68000 -- (-2020.430) (-2021.356) (-2025.338) [-2014.647] * (-2024.383) [-2025.713] (-2024.990) (-2025.265) -- 0:03:25
69000 -- [-2026.533] (-2026.913) (-2024.131) (-2030.479) * (-2025.710) (-2021.078) (-2018.232) [-2024.915] -- 0:03:22
70000 -- [-2030.031] (-2019.274) (-2033.000) (-2027.427) * (-2029.844) (-2027.938) (-2019.962) [-2024.768] -- 0:03:32
Average standard deviation of split frequencies: 0.034688
71000 -- (-2027.854) (-2035.661) [-2015.842] (-2021.751) * (-2020.783) (-2023.539) [-2017.577] (-2024.582) -- 0:03:29
72000 -- (-2036.405) (-2021.125) [-2019.889] (-2031.001) * (-2025.851) (-2024.906) [-2019.368] (-2037.899) -- 0:03:26
73000 -- (-2027.779) (-2028.231) [-2022.761] (-2029.605) * (-2037.650) (-2026.881) [-2019.786] (-2019.843) -- 0:03:23
74000 -- (-2030.927) [-2024.809] (-2032.196) (-2022.172) * (-2033.103) [-2027.089] (-2024.075) (-2021.121) -- 0:03:32
75000 -- (-2020.709) (-2018.625) (-2032.582) [-2023.601] * (-2023.825) (-2022.633) (-2044.936) [-2028.134] -- 0:03:29
Average standard deviation of split frequencies: 0.028532
76000 -- (-2027.495) (-2027.014) (-2035.245) [-2026.587] * (-2034.801) (-2026.121) (-2030.869) [-2022.247] -- 0:03:26
77000 -- (-2023.160) (-2022.651) (-2024.623) [-2025.244] * (-2022.994) (-2014.897) (-2025.637) [-2023.941] -- 0:03:23
78000 -- (-2027.073) (-2022.771) (-2031.682) [-2020.505] * (-2024.504) [-2017.190] (-2025.857) (-2035.828) -- 0:03:20
79000 -- [-2027.546] (-2027.305) (-2039.383) (-2034.711) * [-2026.866] (-2014.669) (-2021.366) (-2030.626) -- 0:03:29
80000 -- (-2031.080) [-2020.151] (-2021.305) (-2034.811) * [-2020.852] (-2017.558) (-2028.891) (-2030.866) -- 0:03:27
Average standard deviation of split frequencies: 0.029804
81000 -- (-2026.534) (-2023.930) (-2022.033) [-2018.017] * (-2026.874) (-2026.505) (-2024.347) [-2025.068] -- 0:03:24
82000 -- (-2032.999) [-2025.915] (-2027.930) (-2029.355) * [-2028.439] (-2027.375) (-2029.201) (-2023.340) -- 0:03:21
83000 -- (-2031.594) (-2040.060) [-2017.386] (-2021.220) * (-2024.539) [-2028.127] (-2035.461) (-2033.523) -- 0:03:29
84000 -- (-2025.612) [-2016.154] (-2028.790) (-2027.499) * [-2025.248] (-2026.630) (-2041.029) (-2024.936) -- 0:03:27
85000 -- (-2027.643) [-2023.297] (-2023.627) (-2020.479) * (-2025.114) (-2030.103) [-2023.833] (-2021.004) -- 0:03:24
Average standard deviation of split frequencies: 0.026859
86000 -- (-2020.557) [-2026.002] (-2030.508) (-2033.149) * (-2027.407) (-2029.872) (-2035.747) [-2023.422] -- 0:03:21
87000 -- [-2028.888] (-2014.273) (-2031.506) (-2026.063) * (-2032.995) (-2020.466) [-2023.196] (-2037.639) -- 0:03:19
88000 -- (-2023.621) [-2023.530] (-2020.216) (-2030.430) * [-2022.011] (-2037.486) (-2020.563) (-2026.592) -- 0:03:27
89000 -- (-2025.942) (-2032.565) (-2036.873) [-2020.923] * [-2021.650] (-2021.948) (-2028.281) (-2024.550) -- 0:03:24
90000 -- (-2017.379) [-2023.343] (-2037.725) (-2027.523) * (-2025.101) (-2022.541) [-2024.015] (-2023.135) -- 0:03:22
Average standard deviation of split frequencies: 0.030416
91000 -- (-2024.857) [-2023.183] (-2023.691) (-2016.141) * (-2029.488) (-2022.517) (-2027.024) [-2033.512] -- 0:03:19
92000 -- (-2026.349) (-2021.575) [-2025.009] (-2024.831) * (-2028.710) (-2025.084) [-2019.487] (-2031.579) -- 0:03:17
93000 -- (-2028.006) (-2023.323) (-2019.063) [-2021.964] * (-2026.289) (-2029.698) [-2021.769] (-2027.148) -- 0:03:24
94000 -- [-2030.367] (-2023.028) (-2018.436) (-2030.107) * (-2023.863) (-2020.290) [-2017.016] (-2030.398) -- 0:03:22
95000 -- (-2024.196) (-2026.982) [-2027.629] (-2025.400) * (-2016.162) (-2037.357) [-2021.293] (-2026.519) -- 0:03:20
Average standard deviation of split frequencies: 0.028726
96000 -- (-2033.609) [-2020.508] (-2028.507) (-2024.518) * (-2031.962) (-2022.514) [-2021.468] (-2035.320) -- 0:03:17
97000 -- [-2024.936] (-2042.443) (-2027.699) (-2032.340) * (-2032.162) [-2031.244] (-2035.848) (-2023.862) -- 0:03:24
98000 -- (-2026.058) (-2019.940) (-2024.720) [-2033.731] * (-2043.429) (-2028.402) [-2024.041] (-2035.132) -- 0:03:22
99000 -- (-2035.032) [-2023.252] (-2022.218) (-2025.685) * (-2037.358) [-2025.776] (-2028.186) (-2035.180) -- 0:03:20
100000 -- (-2022.359) (-2026.358) (-2019.935) [-2025.325] * (-2034.454) (-2021.461) (-2028.733) [-2031.382] -- 0:03:18
Average standard deviation of split frequencies: 0.027863
101000 -- [-2021.703] (-2024.303) (-2026.383) (-2031.248) * (-2041.373) (-2014.512) (-2022.633) [-2033.476] -- 0:03:15
102000 -- [-2031.739] (-2034.922) (-2030.614) (-2021.938) * (-2027.429) [-2021.679] (-2018.072) (-2036.256) -- 0:03:22
103000 -- (-2018.476) (-2025.371) [-2025.706] (-2030.439) * [-2028.398] (-2025.752) (-2022.245) (-2023.055) -- 0:03:20
104000 -- (-2027.722) [-2025.100] (-2018.592) (-2029.296) * (-2027.417) [-2029.103] (-2030.890) (-2029.970) -- 0:03:18
105000 -- (-2026.011) (-2026.522) (-2027.198) [-2021.659] * (-2024.981) (-2026.930) (-2034.481) [-2029.115] -- 0:03:16
Average standard deviation of split frequencies: 0.025349
106000 -- [-2022.147] (-2033.988) (-2022.923) (-2022.871) * (-2025.728) (-2024.035) (-2026.964) [-2023.111] -- 0:03:22
107000 -- (-2027.410) [-2021.517] (-2025.804) (-2027.267) * (-2037.326) [-2028.629] (-2034.565) (-2026.699) -- 0:03:20
108000 -- (-2020.347) (-2022.900) (-2031.248) [-2024.890] * (-2034.206) (-2025.014) (-2028.186) [-2026.398] -- 0:03:18
109000 -- [-2028.313] (-2023.432) (-2018.210) (-2026.539) * (-2029.824) (-2024.225) (-2023.919) [-2023.391] -- 0:03:16
110000 -- (-2028.333) (-2030.827) [-2036.743] (-2039.358) * [-2026.845] (-2032.288) (-2027.323) (-2019.434) -- 0:03:14
Average standard deviation of split frequencies: 0.022363
111000 -- (-2027.491) [-2032.444] (-2039.975) (-2027.936) * [-2027.205] (-2027.336) (-2033.425) (-2034.812) -- 0:03:20
112000 -- [-2018.834] (-2027.104) (-2031.732) (-2032.638) * [-2031.215] (-2022.338) (-2029.131) (-2030.718) -- 0:03:18
113000 -- (-2024.814) [-2026.253] (-2035.881) (-2033.578) * (-2024.065) [-2019.638] (-2031.127) (-2025.860) -- 0:03:16
114000 -- (-2027.332) (-2030.969) (-2028.419) [-2024.176] * [-2026.422] (-2022.251) (-2029.171) (-2032.459) -- 0:03:14
115000 -- [-2023.641] (-2019.667) (-2021.188) (-2024.975) * (-2021.848) [-2027.598] (-2032.588) (-2024.877) -- 0:03:20
Average standard deviation of split frequencies: 0.021538
116000 -- (-2023.916) (-2020.552) [-2033.867] (-2027.400) * (-2024.327) (-2036.724) [-2024.330] (-2022.034) -- 0:03:18
117000 -- (-2026.570) (-2027.510) (-2025.089) [-2021.700] * (-2027.713) [-2022.417] (-2022.616) (-2030.040) -- 0:03:16
118000 -- (-2030.399) (-2031.655) (-2024.846) [-2024.678] * (-2027.320) [-2016.908] (-2030.731) (-2022.709) -- 0:03:14
119000 -- (-2028.989) (-2031.642) [-2019.147] (-2027.191) * [-2027.942] (-2037.203) (-2025.280) (-2028.899) -- 0:03:12
120000 -- (-2029.869) (-2024.181) [-2018.014] (-2024.263) * [-2025.144] (-2024.661) (-2033.679) (-2026.637) -- 0:03:18
Average standard deviation of split frequencies: 0.023049
121000 -- (-2036.557) (-2020.099) (-2032.531) [-2026.107] * [-2037.846] (-2024.194) (-2023.500) (-2036.055) -- 0:03:16
122000 -- (-2031.213) (-2017.416) [-2022.038] (-2027.573) * [-2035.858] (-2032.320) (-2027.126) (-2025.653) -- 0:03:14
123000 -- (-2022.848) [-2020.838] (-2023.894) (-2020.739) * (-2038.120) (-2020.400) [-2027.242] (-2021.174) -- 0:03:12
124000 -- (-2028.692) (-2016.836) [-2021.315] (-2022.057) * (-2021.793) (-2021.823) [-2027.677] (-2040.326) -- 0:03:17
125000 -- (-2020.613) (-2025.305) (-2027.903) [-2019.761] * [-2021.977] (-2023.712) (-2024.961) (-2025.087) -- 0:03:16
Average standard deviation of split frequencies: 0.021700
126000 -- [-2033.090] (-2020.903) (-2030.824) (-2024.049) * (-2022.951) (-2034.275) (-2033.376) [-2024.811] -- 0:03:14
127000 -- [-2033.156] (-2030.765) (-2028.376) (-2037.383) * (-2021.760) [-2023.343] (-2024.150) (-2026.012) -- 0:03:12
128000 -- [-2023.049] (-2032.384) (-2024.979) (-2022.091) * (-2032.918) [-2026.792] (-2031.985) (-2029.389) -- 0:03:10
129000 -- (-2031.457) (-2019.205) (-2031.965) [-2016.845] * [-2021.395] (-2035.175) (-2038.513) (-2030.207) -- 0:03:15
130000 -- [-2026.728] (-2025.198) (-2029.558) (-2020.059) * [-2028.596] (-2033.560) (-2024.188) (-2026.685) -- 0:03:14
Average standard deviation of split frequencies: 0.023450
131000 -- (-2030.261) [-2014.841] (-2031.411) (-2021.660) * (-2028.522) (-2032.073) [-2037.754] (-2026.115) -- 0:03:12
132000 -- [-2024.502] (-2017.034) (-2025.075) (-2030.845) * (-2034.716) (-2024.967) (-2025.662) [-2023.764] -- 0:03:10
133000 -- [-2024.237] (-2025.309) (-2029.352) (-2017.930) * (-2023.657) [-2026.581] (-2036.432) (-2028.650) -- 0:03:09
134000 -- (-2022.449) [-2020.173] (-2021.652) (-2026.949) * (-2043.030) (-2035.965) (-2032.976) [-2024.822] -- 0:03:13
135000 -- (-2023.192) [-2021.922] (-2025.224) (-2021.370) * (-2030.340) (-2023.544) (-2037.423) [-2029.392] -- 0:03:12
Average standard deviation of split frequencies: 0.022010
136000 -- [-2022.168] (-2021.311) (-2028.622) (-2025.189) * (-2034.222) (-2017.163) [-2035.335] (-2030.768) -- 0:03:10
137000 -- [-2020.165] (-2029.899) (-2036.132) (-2026.504) * [-2031.825] (-2018.596) (-2038.240) (-2027.760) -- 0:03:08
138000 -- (-2029.285) (-2032.822) [-2022.790] (-2036.691) * (-2033.798) (-2032.964) (-2041.639) [-2023.129] -- 0:03:13
139000 -- (-2026.217) (-2033.659) [-2015.957] (-2035.978) * [-2024.903] (-2016.084) (-2033.472) (-2025.022) -- 0:03:12
140000 -- (-2027.523) (-2046.703) [-2019.779] (-2043.282) * (-2028.613) [-2023.492] (-2043.190) (-2024.204) -- 0:03:10
Average standard deviation of split frequencies: 0.021950
141000 -- [-2022.879] (-2025.803) (-2032.816) (-2051.777) * (-2034.294) (-2027.009) [-2027.608] (-2023.395) -- 0:03:08
142000 -- (-2025.853) (-2026.025) (-2030.356) [-2020.996] * (-2028.829) (-2031.310) [-2028.680] (-2028.468) -- 0:03:07
143000 -- [-2021.405] (-2030.893) (-2024.011) (-2024.053) * (-2025.482) (-2021.671) [-2028.012] (-2016.484) -- 0:03:11
144000 -- (-2024.939) (-2029.776) (-2021.233) [-2019.657] * (-2029.159) [-2028.888] (-2035.530) (-2023.604) -- 0:03:10
145000 -- (-2028.337) (-2029.395) (-2024.722) [-2019.510] * (-2037.491) (-2027.189) (-2024.599) [-2015.711] -- 0:03:08
Average standard deviation of split frequencies: 0.022279
146000 -- (-2031.030) (-2023.225) [-2023.035] (-2020.385) * (-2027.546) (-2025.041) [-2035.935] (-2021.175) -- 0:03:07
147000 -- (-2027.154) (-2023.131) [-2023.760] (-2026.091) * (-2039.388) [-2027.775] (-2036.083) (-2022.602) -- 0:03:11
148000 -- (-2022.543) [-2018.967] (-2022.247) (-2037.620) * (-2030.790) (-2021.492) [-2033.484] (-2022.842) -- 0:03:09
149000 -- (-2030.664) (-2037.375) [-2023.093] (-2030.657) * (-2033.938) [-2023.763] (-2035.375) (-2024.801) -- 0:03:08
150000 -- (-2034.335) [-2015.679] (-2026.059) (-2031.456) * (-2026.602) (-2022.804) [-2032.779] (-2020.187) -- 0:03:07
Average standard deviation of split frequencies: 0.021745
151000 -- (-2024.637) (-2032.512) (-2015.764) [-2022.797] * (-2021.370) (-2032.957) [-2030.852] (-2027.726) -- 0:03:05
152000 -- (-2021.104) (-2028.662) (-2029.838) [-2018.389] * (-2022.398) (-2022.771) [-2022.162] (-2030.901) -- 0:03:09
153000 -- (-2025.586) [-2039.047] (-2028.754) (-2022.149) * [-2032.275] (-2028.801) (-2024.105) (-2023.059) -- 0:03:08
154000 -- (-2022.108) (-2029.584) (-2031.499) [-2027.879] * [-2025.772] (-2023.237) (-2022.444) (-2027.263) -- 0:03:06
155000 -- (-2021.915) (-2043.624) (-2031.046) [-2031.129] * (-2029.780) (-2035.160) [-2027.796] (-2030.673) -- 0:03:05
Average standard deviation of split frequencies: 0.018282
156000 -- (-2020.955) (-2031.722) (-2024.889) [-2030.056] * (-2024.662) [-2020.985] (-2032.151) (-2026.421) -- 0:03:09
157000 -- [-2023.564] (-2025.374) (-2029.941) (-2032.499) * [-2018.934] (-2020.716) (-2036.688) (-2022.565) -- 0:03:07
158000 -- (-2025.824) [-2020.737] (-2028.709) (-2032.330) * (-2026.716) [-2024.289] (-2036.395) (-2025.714) -- 0:03:06
159000 -- (-2021.531) [-2026.549] (-2030.431) (-2031.937) * (-2033.204) (-2025.047) (-2043.723) [-2031.649] -- 0:03:05
160000 -- (-2026.239) [-2035.646] (-2026.670) (-2037.026) * [-2025.803] (-2026.281) (-2030.669) (-2028.268) -- 0:03:03
Average standard deviation of split frequencies: 0.018925
161000 -- (-2038.336) [-2025.600] (-2025.455) (-2028.835) * (-2027.971) [-2034.720] (-2039.886) (-2021.575) -- 0:03:07
162000 -- [-2030.814] (-2034.358) (-2030.580) (-2039.747) * (-2028.428) [-2030.244] (-2031.827) (-2020.139) -- 0:03:06
163000 -- [-2028.931] (-2031.246) (-2018.434) (-2034.449) * (-2030.058) (-2032.736) (-2026.252) [-2025.493] -- 0:03:04
164000 -- (-2032.629) (-2030.077) [-2015.090] (-2027.076) * [-2021.394] (-2033.482) (-2021.816) (-2037.557) -- 0:03:03
165000 -- [-2034.507] (-2038.258) (-2019.229) (-2030.400) * (-2032.825) (-2024.154) [-2023.595] (-2034.638) -- 0:03:07
Average standard deviation of split frequencies: 0.017465
166000 -- (-2026.802) [-2026.763] (-2029.556) (-2030.801) * (-2024.138) (-2041.327) (-2031.029) [-2028.796] -- 0:03:05
167000 -- (-2032.199) (-2035.885) (-2023.931) [-2031.581] * (-2032.008) (-2029.503) [-2034.644] (-2027.696) -- 0:03:04
168000 -- (-2027.047) [-2023.410] (-2028.406) (-2031.828) * (-2029.689) (-2023.444) [-2031.863] (-2027.535) -- 0:03:03
169000 -- (-2037.786) (-2025.206) [-2018.516] (-2033.898) * [-2023.837] (-2029.578) (-2029.370) (-2024.671) -- 0:03:01
170000 -- [-2022.992] (-2024.009) (-2032.788) (-2026.115) * [-2026.487] (-2028.171) (-2029.292) (-2032.435) -- 0:03:05
Average standard deviation of split frequencies: 0.014639
171000 -- (-2019.765) [-2023.090] (-2028.170) (-2027.632) * (-2024.781) (-2025.935) (-2024.307) [-2029.179] -- 0:03:04
172000 -- [-2020.757] (-2022.717) (-2035.854) (-2045.577) * [-2024.852] (-2039.377) (-2022.863) (-2022.714) -- 0:03:02
173000 -- (-2025.279) [-2040.707] (-2034.383) (-2038.857) * (-2024.090) (-2038.561) [-2018.657] (-2025.133) -- 0:03:01
174000 -- (-2029.907) (-2028.549) [-2032.475] (-2042.022) * (-2026.648) (-2037.413) [-2020.616] (-2024.416) -- 0:03:05
175000 -- (-2031.938) (-2037.414) [-2028.864] (-2031.449) * [-2017.849] (-2019.779) (-2038.426) (-2023.606) -- 0:03:03
Average standard deviation of split frequencies: 0.012723
176000 -- (-2022.309) [-2030.282] (-2029.340) (-2026.166) * [-2023.815] (-2030.880) (-2021.496) (-2026.006) -- 0:03:02
177000 -- (-2035.728) (-2038.735) [-2030.861] (-2020.164) * (-2037.217) (-2026.700) (-2025.560) [-2024.290] -- 0:03:01
178000 -- [-2030.546] (-2032.909) (-2030.789) (-2028.662) * (-2033.091) [-2024.436] (-2030.429) (-2019.235) -- 0:03:00
179000 -- (-2029.685) (-2035.363) (-2034.759) [-2018.734] * [-2023.913] (-2030.365) (-2039.358) (-2023.276) -- 0:03:03
180000 -- (-2024.965) (-2025.272) (-2024.251) [-2030.256] * (-2020.535) (-2022.644) (-2039.495) [-2020.387] -- 0:03:02
Average standard deviation of split frequencies: 0.014873
181000 -- (-2037.377) (-2034.381) [-2026.787] (-2019.702) * (-2030.026) (-2018.221) [-2033.496] (-2027.104) -- 0:03:00
182000 -- (-2021.303) (-2029.866) [-2021.632] (-2029.755) * [-2026.245] (-2022.187) (-2031.521) (-2021.718) -- 0:02:59
183000 -- (-2037.499) [-2035.145] (-2035.417) (-2020.121) * (-2029.652) (-2020.659) [-2019.245] (-2025.201) -- 0:03:03
184000 -- (-2033.766) (-2028.553) (-2025.189) [-2023.598] * (-2024.934) (-2023.039) [-2021.638] (-2027.596) -- 0:03:01
185000 -- (-2029.224) (-2032.935) (-2024.337) [-2023.695] * (-2040.917) (-2027.784) (-2029.203) [-2029.874] -- 0:03:00
Average standard deviation of split frequencies: 0.014320
186000 -- (-2040.007) [-2027.584] (-2027.061) (-2030.645) * (-2025.622) (-2043.837) [-2021.965] (-2041.629) -- 0:02:59
187000 -- [-2033.934] (-2028.571) (-2024.625) (-2022.824) * (-2025.483) [-2026.668] (-2034.103) (-2037.101) -- 0:02:58
188000 -- (-2020.898) (-2032.876) [-2029.989] (-2025.470) * (-2027.906) (-2032.949) (-2031.076) [-2022.623] -- 0:03:01
189000 -- (-2022.610) (-2033.413) [-2022.128] (-2028.463) * (-2026.174) (-2019.732) (-2029.009) [-2024.134] -- 0:03:00
190000 -- (-2030.236) (-2030.719) [-2029.446] (-2019.716) * [-2019.393] (-2024.042) (-2020.568) (-2022.115) -- 0:02:59
Average standard deviation of split frequencies: 0.014464
191000 -- (-2027.447) (-2043.751) [-2017.126] (-2032.005) * (-2023.814) (-2024.529) (-2038.235) [-2031.198] -- 0:02:57
192000 -- (-2024.991) (-2022.709) (-2035.751) [-2016.358] * [-2026.599] (-2036.757) (-2030.082) (-2027.718) -- 0:03:00
193000 -- [-2028.618] (-2028.081) (-2029.297) (-2032.710) * (-2024.053) (-2025.637) (-2026.409) [-2032.021] -- 0:02:59
194000 -- (-2019.876) [-2023.322] (-2036.879) (-2025.760) * [-2025.549] (-2022.439) (-2025.964) (-2029.022) -- 0:02:58
195000 -- (-2033.815) [-2020.968] (-2028.453) (-2029.636) * [-2020.349] (-2019.088) (-2029.779) (-2035.646) -- 0:02:57
Average standard deviation of split frequencies: 0.013950
196000 -- [-2025.672] (-2039.892) (-2027.250) (-2027.802) * (-2034.100) (-2019.504) (-2036.934) [-2026.113] -- 0:02:56
197000 -- (-2029.501) [-2028.463] (-2024.241) (-2029.161) * (-2027.106) (-2025.400) (-2030.986) [-2024.893] -- 0:02:59
198000 -- (-2022.136) [-2020.343] (-2025.703) (-2024.742) * [-2026.184] (-2016.721) (-2022.142) (-2031.862) -- 0:02:58
199000 -- (-2029.476) [-2017.379] (-2025.697) (-2034.323) * (-2029.745) [-2030.615] (-2027.153) (-2037.089) -- 0:02:57
200000 -- (-2020.984) (-2023.611) (-2034.744) [-2017.999] * (-2026.584) [-2019.068] (-2035.106) (-2027.314) -- 0:02:56
Average standard deviation of split frequencies: 0.015387
201000 -- (-2027.641) [-2024.259] (-2028.567) (-2029.779) * (-2041.594) (-2026.369) (-2039.023) [-2026.156] -- 0:02:58
202000 -- [-2026.539] (-2028.219) (-2029.412) (-2017.069) * (-2024.355) (-2045.091) (-2034.965) [-2021.200] -- 0:02:57
203000 -- (-2026.491) [-2018.669] (-2028.488) (-2022.928) * [-2028.586] (-2027.211) (-2044.789) (-2026.269) -- 0:02:56
204000 -- [-2027.790] (-2024.547) (-2026.459) (-2018.740) * (-2025.983) (-2027.120) [-2025.332] (-2029.196) -- 0:02:55
205000 -- [-2021.674] (-2026.052) (-2050.246) (-2018.498) * [-2016.519] (-2026.465) (-2024.957) (-2042.580) -- 0:02:54
Average standard deviation of split frequencies: 0.016705
206000 -- [-2036.211] (-2028.260) (-2018.988) (-2027.677) * [-2024.454] (-2028.227) (-2021.760) (-2038.679) -- 0:02:57
207000 -- (-2032.579) [-2023.713] (-2026.897) (-2025.547) * [-2020.368] (-2028.897) (-2022.795) (-2049.725) -- 0:02:56
208000 -- (-2030.746) (-2023.652) [-2029.191] (-2019.612) * (-2017.780) [-2016.886] (-2024.915) (-2041.785) -- 0:02:55
209000 -- [-2024.865] (-2018.898) (-2025.570) (-2015.397) * [-2025.730] (-2022.334) (-2022.057) (-2030.376) -- 0:02:54
210000 -- (-2027.323) (-2040.488) (-2026.414) [-2028.150] * [-2019.490] (-2032.210) (-2019.583) (-2027.851) -- 0:02:56
Average standard deviation of split frequencies: 0.016335
211000 -- (-2029.151) [-2033.020] (-2033.529) (-2030.597) * (-2023.965) (-2024.586) [-2022.352] (-2033.060) -- 0:02:55
212000 -- (-2030.755) (-2032.948) (-2026.881) [-2021.954] * (-2029.671) [-2025.606] (-2023.873) (-2024.000) -- 0:02:54
213000 -- (-2023.352) (-2034.439) [-2026.268] (-2028.371) * (-2024.302) (-2028.024) [-2028.307] (-2026.807) -- 0:02:53
214000 -- (-2030.450) (-2024.045) (-2020.586) [-2025.615] * [-2020.375] (-2032.037) (-2025.371) (-2026.105) -- 0:02:52
215000 -- (-2023.962) (-2025.688) [-2030.150] (-2035.072) * (-2028.083) (-2024.903) [-2017.200] (-2024.463) -- 0:02:55
Average standard deviation of split frequencies: 0.016041
216000 -- (-2037.484) (-2024.526) [-2026.177] (-2024.450) * (-2032.710) (-2034.229) (-2022.958) [-2028.307] -- 0:02:54
217000 -- (-2027.671) (-2026.666) [-2028.702] (-2024.485) * (-2023.784) (-2023.404) (-2023.406) [-2030.260] -- 0:02:53
218000 -- (-2022.727) (-2036.507) [-2023.175] (-2014.423) * (-2029.349) (-2032.009) (-2027.500) [-2025.646] -- 0:02:52
219000 -- (-2031.214) [-2024.768] (-2035.815) (-2028.999) * (-2021.979) (-2020.245) [-2022.637] (-2027.079) -- 0:02:54
220000 -- (-2020.593) (-2040.944) [-2022.274] (-2037.299) * (-2029.883) (-2018.210) [-2023.945] (-2030.812) -- 0:02:53
Average standard deviation of split frequencies: 0.016449
221000 -- [-2023.586] (-2028.820) (-2028.987) (-2026.829) * (-2028.950) [-2024.487] (-2021.441) (-2025.413) -- 0:02:52
222000 -- [-2027.461] (-2036.053) (-2026.330) (-2025.763) * (-2023.056) (-2027.609) (-2029.883) [-2025.902] -- 0:02:51
223000 -- [-2021.963] (-2031.417) (-2021.590) (-2030.134) * (-2026.504) [-2024.703] (-2024.000) (-2032.642) -- 0:02:50
224000 -- [-2032.677] (-2033.094) (-2030.373) (-2018.903) * (-2027.918) [-2019.772] (-2036.420) (-2025.554) -- 0:02:53
225000 -- (-2030.788) (-2025.845) (-2021.474) [-2029.911] * (-2022.340) [-2023.722] (-2040.428) (-2022.475) -- 0:02:52
Average standard deviation of split frequencies: 0.016687
226000 -- (-2030.819) (-2021.425) [-2028.540] (-2025.864) * (-2023.796) (-2033.124) (-2037.622) [-2024.903] -- 0:02:51
227000 -- (-2032.856) (-2023.510) [-2021.037] (-2024.809) * [-2024.572] (-2031.650) (-2030.397) (-2026.710) -- 0:02:50
228000 -- (-2020.437) (-2041.668) (-2020.934) [-2024.331] * [-2022.752] (-2031.763) (-2028.585) (-2030.946) -- 0:02:52
229000 -- [-2024.676] (-2035.631) (-2025.298) (-2030.805) * (-2023.327) [-2027.509] (-2022.261) (-2031.716) -- 0:02:51
230000 -- (-2020.271) (-2029.317) (-2025.524) [-2023.403] * (-2022.887) (-2027.530) (-2018.743) [-2022.842] -- 0:02:50
Average standard deviation of split frequencies: 0.018189
231000 -- (-2024.222) (-2028.364) (-2032.780) [-2029.558] * [-2025.905] (-2019.120) (-2035.187) (-2029.168) -- 0:02:49
232000 -- (-2016.995) (-2019.363) (-2024.947) [-2026.335] * (-2024.706) (-2024.977) [-2019.858] (-2026.449) -- 0:02:48
233000 -- [-2021.793] (-2022.860) (-2021.508) (-2030.927) * [-2021.919] (-2029.064) (-2031.465) (-2026.880) -- 0:02:51
234000 -- (-2034.672) [-2028.690] (-2024.042) (-2026.188) * (-2021.411) [-2013.754] (-2030.844) (-2025.262) -- 0:02:50
235000 -- (-2022.120) [-2023.377] (-2022.041) (-2035.223) * (-2019.529) (-2020.665) (-2030.180) [-2014.723] -- 0:02:49
Average standard deviation of split frequencies: 0.016979
236000 -- (-2024.022) (-2022.779) (-2025.001) [-2023.545] * [-2019.978] (-2033.802) (-2029.997) (-2021.135) -- 0:02:48
237000 -- (-2027.213) [-2018.718] (-2032.689) (-2030.490) * [-2024.661] (-2024.813) (-2033.527) (-2031.298) -- 0:02:50
238000 -- (-2027.311) [-2019.542] (-2022.394) (-2032.579) * (-2031.084) (-2029.061) [-2025.287] (-2040.064) -- 0:02:49
239000 -- (-2036.027) [-2021.785] (-2027.714) (-2025.960) * (-2033.313) [-2023.587] (-2015.758) (-2039.104) -- 0:02:48
240000 -- (-2023.679) [-2022.807] (-2020.725) (-2030.924) * (-2019.255) (-2041.890) (-2025.285) [-2029.715] -- 0:02:47
Average standard deviation of split frequencies: 0.016453
241000 -- (-2024.332) (-2021.585) [-2020.360] (-2030.133) * [-2019.934] (-2033.819) (-2022.052) (-2027.265) -- 0:02:46
242000 -- [-2020.466] (-2017.465) (-2029.823) (-2022.660) * (-2019.500) [-2025.575] (-2018.018) (-2025.539) -- 0:02:49
243000 -- (-2019.450) (-2026.997) [-2029.175] (-2022.560) * [-2018.959] (-2019.669) (-2031.616) (-2041.119) -- 0:02:48
244000 -- (-2032.454) [-2027.845] (-2029.439) (-2030.826) * [-2018.847] (-2020.258) (-2043.057) (-2029.635) -- 0:02:47
245000 -- [-2022.065] (-2026.933) (-2026.724) (-2027.499) * (-2024.962) [-2023.762] (-2026.612) (-2022.142) -- 0:02:46
Average standard deviation of split frequencies: 0.018109
246000 -- (-2022.830) (-2024.773) (-2036.289) [-2025.474] * (-2031.427) [-2024.633] (-2031.182) (-2030.880) -- 0:02:48
247000 -- (-2030.954) (-2027.281) (-2025.112) [-2029.675] * (-2028.590) (-2017.717) [-2015.189] (-2036.969) -- 0:02:47
248000 -- (-2036.769) (-2026.106) [-2022.496] (-2022.715) * (-2022.281) [-2026.166] (-2028.712) (-2041.222) -- 0:02:46
249000 -- (-2026.934) (-2024.726) (-2028.768) [-2020.988] * (-2020.864) [-2020.717] (-2038.843) (-2047.587) -- 0:02:45
250000 -- (-2018.066) (-2032.414) [-2024.902] (-2033.486) * (-2015.485) [-2023.843] (-2031.205) (-2035.373) -- 0:02:48
Average standard deviation of split frequencies: 0.017584
251000 -- [-2021.917] (-2036.884) (-2026.071) (-2023.461) * (-2032.488) [-2022.127] (-2031.904) (-2020.217) -- 0:02:47
252000 -- (-2028.400) (-2023.259) (-2029.402) [-2025.275] * (-2025.477) [-2032.114] (-2035.313) (-2034.894) -- 0:02:46
253000 -- (-2024.078) [-2025.695] (-2034.121) (-2025.344) * (-2024.169) (-2027.859) (-2028.344) [-2027.868] -- 0:02:45
254000 -- [-2038.652] (-2028.102) (-2039.397) (-2029.788) * (-2022.661) (-2022.019) [-2018.039] (-2031.029) -- 0:02:44
255000 -- (-2031.718) [-2020.858] (-2031.526) (-2019.745) * (-2031.677) (-2025.649) (-2027.613) [-2025.569] -- 0:02:46
Average standard deviation of split frequencies: 0.017954
256000 -- (-2030.177) (-2027.435) (-2025.379) [-2022.940] * [-2021.988] (-2023.975) (-2035.444) (-2034.047) -- 0:02:45
257000 -- (-2027.316) (-2034.343) [-2019.107] (-2024.915) * (-2026.445) (-2017.769) [-2025.569] (-2027.206) -- 0:02:44
258000 -- (-2035.779) (-2020.102) (-2017.811) [-2026.264] * (-2033.351) (-2027.869) [-2023.099] (-2022.196) -- 0:02:43
259000 -- (-2024.996) (-2022.527) [-2027.761] (-2029.643) * (-2028.318) (-2020.487) (-2034.698) [-2026.704] -- 0:02:45
260000 -- (-2029.058) [-2025.037] (-2029.381) (-2020.145) * (-2043.478) [-2025.894] (-2019.421) (-2038.726) -- 0:02:45
Average standard deviation of split frequencies: 0.016638
261000 -- (-2037.103) (-2031.186) (-2022.994) [-2017.200] * (-2028.304) (-2024.980) [-2026.705] (-2030.275) -- 0:02:44
262000 -- (-2034.899) (-2032.410) [-2026.095] (-2021.483) * [-2031.206] (-2028.400) (-2019.291) (-2019.230) -- 0:02:43
263000 -- (-2035.725) [-2025.863] (-2019.358) (-2025.933) * [-2031.767] (-2027.627) (-2023.570) (-2037.218) -- 0:02:42
264000 -- (-2028.081) (-2022.107) (-2024.243) [-2021.511] * (-2037.647) [-2033.699] (-2015.215) (-2023.689) -- 0:02:44
265000 -- (-2032.693) [-2019.254] (-2014.978) (-2017.853) * (-2034.836) (-2029.283) (-2021.557) [-2022.155] -- 0:02:43
Average standard deviation of split frequencies: 0.014886
266000 -- (-2025.436) [-2025.749] (-2034.638) (-2023.265) * (-2028.627) [-2024.646] (-2023.836) (-2027.212) -- 0:02:42
267000 -- (-2029.507) [-2021.507] (-2033.312) (-2030.103) * (-2032.242) (-2030.409) (-2029.793) [-2020.818] -- 0:02:41
268000 -- (-2030.141) [-2015.235] (-2032.572) (-2023.120) * [-2025.065] (-2032.201) (-2027.399) (-2024.211) -- 0:02:43
269000 -- (-2039.528) (-2025.342) [-2035.418] (-2031.609) * (-2033.225) (-2027.758) [-2019.150] (-2024.344) -- 0:02:43
270000 -- (-2023.876) [-2023.465] (-2030.147) (-2026.551) * (-2036.777) (-2035.474) [-2024.626] (-2023.101) -- 0:02:42
Average standard deviation of split frequencies: 0.015936
271000 -- (-2033.943) [-2019.808] (-2030.032) (-2018.352) * (-2023.931) (-2021.942) [-2019.840] (-2033.855) -- 0:02:41
272000 -- (-2030.114) (-2023.410) [-2023.012] (-2029.929) * [-2030.254] (-2032.438) (-2024.038) (-2028.055) -- 0:02:40
273000 -- [-2028.955] (-2023.976) (-2025.855) (-2027.075) * [-2019.048] (-2019.450) (-2027.710) (-2022.220) -- 0:02:42
274000 -- (-2025.941) [-2026.259] (-2032.658) (-2028.232) * (-2028.975) (-2043.411) [-2027.383] (-2027.076) -- 0:02:41
275000 -- (-2031.266) (-2024.478) (-2021.133) [-2022.688] * (-2021.466) (-2022.786) (-2024.329) [-2020.994] -- 0:02:40
Average standard deviation of split frequencies: 0.016311
276000 -- (-2026.455) [-2022.275] (-2028.313) (-2029.076) * (-2029.510) (-2033.787) (-2027.294) [-2018.441] -- 0:02:40
277000 -- (-2022.274) [-2016.966] (-2023.724) (-2028.833) * [-2029.658] (-2029.856) (-2025.490) (-2024.650) -- 0:02:41
278000 -- (-2023.909) (-2020.080) [-2016.061] (-2027.347) * (-2035.290) [-2019.500] (-2023.227) (-2030.016) -- 0:02:41
279000 -- [-2022.620] (-2039.273) (-2035.459) (-2025.524) * [-2023.530] (-2026.257) (-2020.120) (-2030.297) -- 0:02:40
280000 -- (-2028.953) (-2027.928) (-2020.878) [-2020.202] * (-2015.685) [-2015.759] (-2019.496) (-2028.109) -- 0:02:39
Average standard deviation of split frequencies: 0.016964
281000 -- [-2029.016] (-2030.799) (-2027.983) (-2015.625) * (-2016.294) [-2016.512] (-2031.937) (-2022.402) -- 0:02:38
282000 -- (-2030.404) (-2035.864) (-2039.102) [-2015.348] * (-2027.089) (-2030.553) (-2027.078) [-2028.161] -- 0:02:40
283000 -- (-2029.895) [-2026.000] (-2023.404) (-2024.596) * (-2022.607) (-2032.319) (-2029.991) [-2032.525] -- 0:02:39
284000 -- (-2023.894) (-2027.754) (-2034.665) [-2020.305] * [-2017.464] (-2033.080) (-2032.666) (-2027.405) -- 0:02:38
285000 -- (-2024.496) (-2037.683) (-2032.855) [-2021.603] * (-2036.147) [-2020.467] (-2026.054) (-2031.663) -- 0:02:38
Average standard deviation of split frequencies: 0.015411
286000 -- (-2020.194) (-2026.572) [-2025.997] (-2026.963) * [-2024.294] (-2034.025) (-2024.227) (-2030.727) -- 0:02:39
287000 -- (-2032.631) (-2032.735) [-2019.677] (-2027.715) * (-2030.333) [-2023.527] (-2028.491) (-2036.880) -- 0:02:38
288000 -- (-2025.915) (-2029.419) (-2028.081) [-2028.957] * [-2020.178] (-2023.144) (-2025.411) (-2033.453) -- 0:02:38
289000 -- (-2019.092) (-2031.772) (-2038.357) [-2023.447] * (-2024.960) [-2021.948] (-2042.080) (-2025.634) -- 0:02:37
290000 -- [-2029.176] (-2026.996) (-2023.194) (-2030.087) * (-2034.954) (-2024.274) [-2033.806] (-2040.043) -- 0:02:36
Average standard deviation of split frequencies: 0.014191
291000 -- (-2032.992) (-2025.911) [-2015.992] (-2034.011) * (-2028.602) (-2027.945) [-2027.475] (-2029.424) -- 0:02:38
292000 -- (-2026.012) [-2021.690] (-2019.947) (-2039.931) * (-2022.776) [-2029.208] (-2024.453) (-2017.529) -- 0:02:37
293000 -- [-2025.940] (-2021.289) (-2031.600) (-2033.522) * (-2031.260) (-2023.740) (-2030.435) [-2015.557] -- 0:02:36
294000 -- [-2020.795] (-2029.041) (-2028.070) (-2036.223) * (-2031.804) (-2026.182) (-2043.260) [-2018.509] -- 0:02:36
295000 -- (-2024.021) [-2022.757] (-2030.573) (-2038.187) * (-2023.630) [-2024.615] (-2023.964) (-2027.425) -- 0:02:37
Average standard deviation of split frequencies: 0.012980
296000 -- [-2020.231] (-2022.137) (-2030.880) (-2028.034) * (-2033.031) [-2020.888] (-2026.981) (-2028.346) -- 0:02:36
297000 -- [-2024.317] (-2020.167) (-2031.846) (-2042.600) * (-2029.187) [-2019.052] (-2035.256) (-2026.263) -- 0:02:36
298000 -- [-2029.687] (-2018.525) (-2039.634) (-2035.048) * (-2032.519) (-2021.156) (-2028.728) [-2020.524] -- 0:02:35
299000 -- (-2026.362) (-2024.835) (-2040.008) [-2027.340] * (-2031.538) (-2022.616) (-2030.971) [-2021.958] -- 0:02:34
300000 -- [-2031.436] (-2036.829) (-2022.457) (-2034.977) * (-2027.653) (-2027.914) [-2019.161] (-2018.461) -- 0:02:36
Average standard deviation of split frequencies: 0.013013
301000 -- [-2023.114] (-2020.745) (-2023.335) (-2035.392) * (-2025.831) (-2035.292) [-2018.987] (-2021.504) -- 0:02:35
302000 -- (-2026.793) [-2025.391] (-2035.966) (-2035.297) * (-2019.120) (-2030.038) (-2025.220) [-2029.509] -- 0:02:34
303000 -- (-2026.909) (-2024.849) (-2029.052) [-2034.427] * (-2022.595) (-2019.656) [-2022.571] (-2028.175) -- 0:02:34
304000 -- (-2026.562) [-2026.584] (-2023.957) (-2034.783) * (-2031.036) [-2017.755] (-2030.598) (-2026.420) -- 0:02:35
305000 -- (-2031.339) [-2031.104] (-2020.231) (-2035.770) * (-2035.918) (-2027.882) [-2023.393] (-2032.608) -- 0:02:34
Average standard deviation of split frequencies: 0.012632
306000 -- (-2037.547) [-2020.953] (-2022.168) (-2024.861) * (-2021.600) (-2025.684) [-2016.894] (-2026.322) -- 0:02:34
307000 -- (-2033.204) (-2039.328) (-2025.339) [-2033.982] * (-2026.433) (-2027.466) [-2025.278] (-2031.173) -- 0:02:33
308000 -- (-2024.322) [-2025.884] (-2023.908) (-2036.632) * [-2033.830] (-2045.509) (-2032.150) (-2027.014) -- 0:02:32
309000 -- [-2030.104] (-2029.482) (-2029.411) (-2030.938) * (-2020.052) (-2029.808) (-2028.625) [-2020.917] -- 0:02:34
310000 -- (-2030.887) [-2020.040] (-2023.327) (-2029.959) * [-2028.503] (-2020.215) (-2025.564) (-2035.243) -- 0:02:33
Average standard deviation of split frequencies: 0.012974
311000 -- (-2020.609) [-2020.494] (-2026.025) (-2019.153) * [-2024.514] (-2032.897) (-2032.067) (-2029.836) -- 0:02:32
312000 -- (-2029.729) (-2028.323) (-2026.885) [-2017.873] * (-2027.562) (-2017.609) [-2025.978] (-2032.590) -- 0:02:32
313000 -- (-2031.620) (-2020.471) [-2025.603] (-2019.670) * [-2022.366] (-2021.414) (-2031.020) (-2024.487) -- 0:02:33
314000 -- (-2017.049) (-2023.841) [-2023.453] (-2033.181) * (-2027.054) (-2021.865) [-2018.890] (-2027.196) -- 0:02:32
315000 -- [-2016.169] (-2036.514) (-2029.487) (-2038.594) * (-2031.193) (-2030.898) (-2028.259) [-2022.510] -- 0:02:32
Average standard deviation of split frequencies: 0.012456
316000 -- (-2022.385) [-2026.646] (-2028.700) (-2028.409) * (-2029.856) (-2023.370) (-2025.305) [-2017.006] -- 0:02:31
317000 -- (-2030.891) [-2017.009] (-2031.570) (-2023.301) * (-2023.575) [-2027.179] (-2026.880) (-2025.220) -- 0:02:30
318000 -- [-2019.745] (-2018.062) (-2034.375) (-2027.972) * [-2023.332] (-2033.792) (-2019.772) (-2023.150) -- 0:02:32
319000 -- (-2025.167) (-2029.826) (-2023.150) [-2024.907] * (-2027.462) (-2032.337) [-2020.785] (-2023.893) -- 0:02:31
320000 -- (-2028.428) [-2023.391] (-2029.344) (-2026.035) * (-2030.160) [-2019.749] (-2034.179) (-2029.312) -- 0:02:30
Average standard deviation of split frequencies: 0.014186
321000 -- (-2022.412) [-2016.439] (-2024.564) (-2031.330) * (-2027.927) [-2023.729] (-2022.947) (-2028.072) -- 0:02:30
322000 -- [-2014.046] (-2029.970) (-2018.598) (-2030.181) * (-2021.935) [-2022.655] (-2029.035) (-2031.340) -- 0:02:31
323000 -- [-2021.280] (-2029.313) (-2018.146) (-2021.123) * (-2031.230) (-2030.922) (-2024.887) [-2028.080] -- 0:02:30
324000 -- (-2031.084) [-2031.667] (-2034.116) (-2033.657) * (-2023.842) (-2019.236) (-2029.985) [-2028.587] -- 0:02:30
325000 -- [-2031.136] (-2042.767) (-2029.847) (-2029.952) * (-2020.117) [-2023.428] (-2023.712) (-2029.338) -- 0:02:29
Average standard deviation of split frequencies: 0.013520
326000 -- (-2031.711) [-2032.046] (-2017.912) (-2031.636) * (-2026.337) (-2036.627) [-2016.657] (-2025.059) -- 0:02:28
327000 -- (-2026.871) (-2038.794) (-2030.675) [-2025.769] * (-2027.554) (-2031.168) [-2018.272] (-2034.086) -- 0:02:30
328000 -- (-2028.414) (-2029.023) (-2035.678) [-2018.270] * (-2030.905) (-2028.038) (-2023.465) [-2019.884] -- 0:02:29
329000 -- (-2030.963) (-2030.714) [-2026.641] (-2027.863) * (-2020.621) (-2023.290) (-2026.369) [-2025.694] -- 0:02:28
330000 -- [-2022.378] (-2031.745) (-2025.284) (-2024.174) * (-2029.927) (-2026.249) (-2023.870) [-2023.381] -- 0:02:28
Average standard deviation of split frequencies: 0.013044
331000 -- (-2026.105) (-2035.267) [-2026.956] (-2027.496) * (-2033.596) (-2027.771) [-2024.345] (-2032.167) -- 0:02:29
332000 -- (-2031.177) (-2032.889) (-2031.505) [-2023.818] * [-2026.635] (-2019.290) (-2033.689) (-2024.932) -- 0:02:28
333000 -- (-2037.712) [-2026.049] (-2028.596) (-2023.739) * (-2026.991) [-2020.360] (-2024.691) (-2027.276) -- 0:02:28
334000 -- (-2033.054) (-2030.618) [-2025.807] (-2030.920) * (-2030.675) (-2029.630) [-2025.231] (-2027.263) -- 0:02:27
335000 -- (-2030.722) (-2029.469) [-2018.053] (-2030.894) * [-2032.581] (-2033.703) (-2027.585) (-2042.083) -- 0:02:26
Average standard deviation of split frequencies: 0.013218
336000 -- (-2028.844) (-2042.243) [-2022.234] (-2026.714) * (-2022.888) (-2030.061) (-2037.358) [-2021.438] -- 0:02:28
337000 -- (-2034.942) (-2020.350) (-2030.489) [-2025.191] * (-2035.469) (-2025.958) [-2025.619] (-2028.774) -- 0:02:27
338000 -- (-2034.712) [-2023.461] (-2029.219) (-2026.991) * (-2019.303) (-2020.824) (-2024.657) [-2022.725] -- 0:02:26
339000 -- (-2028.873) (-2030.461) [-2024.651] (-2022.112) * (-2021.177) (-2029.746) [-2024.378] (-2048.264) -- 0:02:26
340000 -- (-2034.050) (-2021.587) (-2024.138) [-2024.945] * (-2034.958) (-2026.464) (-2031.609) [-2028.208] -- 0:02:27
Average standard deviation of split frequencies: 0.013037
341000 -- (-2030.958) (-2019.928) [-2023.287] (-2022.814) * (-2027.645) (-2030.450) [-2025.266] (-2033.815) -- 0:02:26
342000 -- (-2029.923) [-2018.485] (-2033.194) (-2034.541) * (-2018.535) [-2021.455] (-2037.869) (-2031.415) -- 0:02:26
343000 -- (-2029.040) (-2028.511) (-2033.047) [-2036.272] * [-2028.256] (-2018.212) (-2026.585) (-2034.373) -- 0:02:25
344000 -- (-2030.011) [-2030.821] (-2032.207) (-2045.278) * (-2031.671) (-2026.272) [-2020.952] (-2030.027) -- 0:02:26
345000 -- (-2023.873) (-2023.014) [-2031.342] (-2044.353) * [-2018.143] (-2025.248) (-2030.309) (-2029.201) -- 0:02:26
Average standard deviation of split frequencies: 0.012334
346000 -- [-2024.909] (-2030.500) (-2025.544) (-2023.676) * (-2023.631) (-2040.675) (-2030.577) [-2029.353] -- 0:02:25
347000 -- [-2025.429] (-2032.634) (-2022.643) (-2029.320) * (-2032.564) [-2025.154] (-2022.898) (-2036.463) -- 0:02:24
348000 -- [-2028.785] (-2023.668) (-2022.722) (-2036.854) * (-2031.773) [-2021.765] (-2018.052) (-2023.758) -- 0:02:24
349000 -- (-2024.453) (-2026.673) (-2025.125) [-2020.674] * (-2030.068) [-2023.088] (-2026.632) (-2024.317) -- 0:02:25
350000 -- (-2017.120) (-2025.899) [-2019.767] (-2027.191) * (-2022.101) [-2023.301] (-2018.280) (-2026.664) -- 0:02:24
Average standard deviation of split frequencies: 0.011816
351000 -- [-2022.976] (-2025.429) (-2027.047) (-2022.725) * (-2029.978) (-2034.300) (-2026.487) [-2023.790] -- 0:02:24
352000 -- (-2032.583) (-2021.311) (-2021.611) [-2026.115] * [-2023.209] (-2026.427) (-2023.372) (-2025.251) -- 0:02:23
353000 -- (-2026.658) (-2023.740) [-2028.117] (-2024.036) * (-2033.683) (-2030.528) (-2028.127) [-2028.840] -- 0:02:24
354000 -- [-2024.837] (-2026.798) (-2020.934) (-2033.329) * [-2022.510] (-2025.835) (-2034.445) (-2027.056) -- 0:02:24
355000 -- (-2032.173) (-2031.922) (-2023.790) [-2028.137] * (-2033.892) (-2020.231) [-2028.047] (-2029.247) -- 0:02:23
Average standard deviation of split frequencies: 0.011848
356000 -- (-2032.444) (-2032.766) [-2022.588] (-2032.404) * [-2015.704] (-2025.454) (-2026.026) (-2035.618) -- 0:02:22
357000 -- [-2034.079] (-2027.282) (-2032.780) (-2026.724) * (-2026.011) (-2025.927) [-2020.449] (-2030.248) -- 0:02:22
358000 -- (-2028.331) (-2032.145) [-2026.618] (-2036.608) * (-2029.645) (-2022.343) (-2023.466) [-2023.678] -- 0:02:23
359000 -- [-2025.452] (-2021.369) (-2031.755) (-2028.756) * [-2019.354] (-2021.950) (-2026.876) (-2029.458) -- 0:02:22
360000 -- (-2022.753) (-2034.172) [-2022.922] (-2022.505) * [-2023.050] (-2028.728) (-2032.219) (-2033.749) -- 0:02:22
Average standard deviation of split frequencies: 0.012038
361000 -- (-2032.303) (-2023.648) (-2035.396) [-2024.382] * (-2030.052) [-2018.474] (-2033.250) (-2030.334) -- 0:02:21
362000 -- (-2015.740) (-2022.067) (-2023.156) [-2025.176] * (-2032.327) (-2024.715) (-2048.678) [-2027.148] -- 0:02:22
363000 -- (-2036.339) (-2023.901) (-2028.856) [-2016.542] * (-2029.975) [-2035.813] (-2022.099) (-2025.441) -- 0:02:22
364000 -- (-2032.471) [-2021.054] (-2025.082) (-2022.555) * (-2052.523) [-2022.292] (-2042.147) (-2028.023) -- 0:02:21
365000 -- (-2024.907) (-2031.950) (-2022.803) [-2033.505] * (-2033.818) (-2030.180) (-2030.260) [-2026.512] -- 0:02:20
Average standard deviation of split frequencies: 0.012202
366000 -- (-2021.839) (-2021.514) [-2023.606] (-2031.437) * (-2026.940) [-2022.957] (-2028.731) (-2033.015) -- 0:02:20
367000 -- (-2032.569) [-2021.119] (-2026.642) (-2026.858) * (-2024.779) [-2023.444] (-2033.830) (-2043.363) -- 0:02:21
368000 -- [-2022.510] (-2026.265) (-2035.869) (-2029.303) * [-2021.644] (-2023.110) (-2033.184) (-2023.956) -- 0:02:20
369000 -- (-2034.369) (-2019.172) [-2024.767] (-2030.885) * (-2031.907) [-2020.168] (-2025.353) (-2031.323) -- 0:02:20
370000 -- [-2019.154] (-2030.003) (-2028.887) (-2027.944) * [-2024.213] (-2029.661) (-2029.025) (-2030.856) -- 0:02:19
Average standard deviation of split frequencies: 0.012249
371000 -- (-2028.234) [-2018.702] (-2030.714) (-2033.372) * (-2023.455) (-2025.182) (-2027.439) [-2028.532] -- 0:02:20
372000 -- (-2032.117) (-2022.021) (-2027.536) [-2030.210] * (-2025.416) [-2021.363] (-2020.698) (-2029.486) -- 0:02:20
373000 -- (-2027.930) (-2025.628) (-2027.135) [-2025.977] * (-2026.846) (-2023.688) (-2027.094) [-2025.119] -- 0:02:19
374000 -- (-2024.434) [-2025.991] (-2032.468) (-2037.283) * (-2026.476) (-2027.222) [-2025.111] (-2025.526) -- 0:02:18
375000 -- (-2019.274) [-2020.236] (-2029.251) (-2028.299) * (-2043.759) (-2021.374) (-2028.606) [-2032.301] -- 0:02:18
Average standard deviation of split frequencies: 0.012801
376000 -- (-2039.853) (-2030.394) (-2025.023) [-2020.873] * [-2026.803] (-2020.088) (-2028.753) (-2034.082) -- 0:02:19
377000 -- (-2028.811) [-2025.284] (-2024.662) (-2025.542) * [-2027.218] (-2025.792) (-2032.139) (-2027.749) -- 0:02:18
378000 -- (-2019.534) (-2034.901) [-2024.873] (-2033.842) * [-2024.629] (-2024.749) (-2025.585) (-2028.634) -- 0:02:18
379000 -- (-2028.885) [-2022.194] (-2025.291) (-2019.239) * (-2027.148) [-2021.824] (-2025.285) (-2022.079) -- 0:02:17
380000 -- (-2020.593) [-2027.854] (-2034.494) (-2025.369) * [-2019.898] (-2028.258) (-2026.794) (-2020.446) -- 0:02:18
Average standard deviation of split frequencies: 0.012644
381000 -- (-2017.955) (-2040.703) (-2038.506) [-2029.633] * [-2021.459] (-2032.533) (-2023.190) (-2024.209) -- 0:02:18
382000 -- [-2016.142] (-2033.067) (-2036.075) (-2019.178) * (-2026.258) (-2041.600) (-2014.750) [-2019.939] -- 0:02:17
383000 -- [-2023.008] (-2027.215) (-2028.542) (-2026.576) * (-2028.757) [-2026.608] (-2029.259) (-2040.885) -- 0:02:16
384000 -- (-2027.410) (-2038.860) (-2035.602) [-2026.450] * (-2023.706) (-2020.225) [-2030.691] (-2038.160) -- 0:02:16
385000 -- (-2032.442) (-2035.866) [-2023.856] (-2023.505) * (-2020.216) (-2042.595) [-2021.150] (-2046.675) -- 0:02:17
Average standard deviation of split frequencies: 0.012662
386000 -- (-2029.414) (-2039.503) [-2014.124] (-2029.637) * (-2021.876) (-2024.933) [-2019.888] (-2040.164) -- 0:02:16
387000 -- (-2021.893) [-2029.059] (-2029.135) (-2026.490) * (-2043.139) (-2032.820) [-2028.190] (-2023.058) -- 0:02:16
388000 -- [-2021.668] (-2034.774) (-2027.574) (-2028.972) * (-2028.710) [-2025.814] (-2027.463) (-2017.626) -- 0:02:15
389000 -- (-2020.105) [-2025.072] (-2027.234) (-2029.954) * (-2030.189) (-2028.107) (-2037.633) [-2022.594] -- 0:02:16
390000 -- (-2031.036) (-2036.141) [-2027.368] (-2033.046) * (-2022.429) [-2029.089] (-2032.706) (-2025.630) -- 0:02:16
Average standard deviation of split frequencies: 0.012489
391000 -- (-2030.570) (-2018.852) [-2021.943] (-2032.980) * [-2029.022] (-2034.948) (-2026.701) (-2028.731) -- 0:02:15
392000 -- (-2026.755) (-2025.959) (-2020.507) [-2021.735] * (-2025.889) (-2042.612) [-2025.028] (-2028.397) -- 0:02:14
393000 -- (-2030.582) [-2021.706] (-2027.624) (-2019.584) * (-2025.261) (-2032.210) [-2031.885] (-2028.795) -- 0:02:14
394000 -- (-2019.483) (-2022.690) [-2023.082] (-2035.971) * (-2025.920) (-2029.316) [-2036.926] (-2038.872) -- 0:02:15
395000 -- (-2030.994) (-2019.376) (-2019.395) [-2026.878] * (-2027.158) (-2028.042) [-2022.933] (-2020.150) -- 0:02:14
Average standard deviation of split frequencies: 0.012261
396000 -- (-2015.596) (-2033.161) (-2043.170) [-2021.161] * (-2034.546) [-2023.742] (-2025.358) (-2017.158) -- 0:02:14
397000 -- (-2028.276) (-2026.036) (-2026.297) [-2021.160] * (-2025.472) [-2034.095] (-2023.342) (-2028.636) -- 0:02:13
398000 -- (-2015.158) (-2031.288) (-2029.383) [-2016.068] * (-2026.571) [-2027.469] (-2021.121) (-2034.728) -- 0:02:14
399000 -- (-2036.739) (-2028.912) [-2028.404] (-2022.005) * [-2032.341] (-2022.491) (-2021.959) (-2022.374) -- 0:02:14
400000 -- (-2018.701) [-2022.876] (-2023.169) (-2021.446) * (-2031.015) (-2020.653) (-2034.320) [-2021.172] -- 0:02:13
Average standard deviation of split frequencies: 0.012571
401000 -- (-2031.934) (-2023.906) [-2037.211] (-2029.621) * (-2030.156) (-2027.997) [-2028.786] (-2033.239) -- 0:02:12
402000 -- (-2038.795) (-2026.855) [-2037.169] (-2030.967) * (-2030.176) (-2020.796) (-2028.703) [-2032.857] -- 0:02:12
403000 -- (-2025.734) [-2021.815] (-2029.593) (-2030.991) * [-2020.976] (-2022.236) (-2019.413) (-2024.195) -- 0:02:13
404000 -- (-2027.724) (-2028.835) [-2029.270] (-2028.726) * [-2027.242] (-2026.918) (-2029.079) (-2021.798) -- 0:02:12
405000 -- [-2029.680] (-2027.657) (-2021.068) (-2026.138) * (-2027.949) (-2027.914) (-2026.028) [-2026.348] -- 0:02:12
Average standard deviation of split frequencies: 0.013295
406000 -- [-2033.890] (-2024.444) (-2030.447) (-2034.868) * (-2026.279) (-2039.756) (-2030.462) [-2015.725] -- 0:02:11
407000 -- (-2029.052) (-2029.613) (-2045.087) [-2024.057] * [-2026.983] (-2035.573) (-2027.966) (-2029.000) -- 0:02:12
408000 -- [-2024.389] (-2035.454) (-2030.403) (-2022.394) * (-2018.121) (-2039.280) (-2026.840) [-2024.764] -- 0:02:12
409000 -- (-2022.963) (-2040.447) [-2021.897] (-2022.322) * (-2029.142) (-2024.799) (-2030.285) [-2020.282] -- 0:02:11
410000 -- (-2029.439) (-2033.633) [-2021.065] (-2032.417) * (-2020.660) [-2023.790] (-2026.712) (-2025.621) -- 0:02:10
Average standard deviation of split frequencies: 0.013717
411000 -- (-2030.521) (-2020.819) [-2023.421] (-2022.585) * (-2027.078) (-2019.224) [-2021.371] (-2033.802) -- 0:02:10
412000 -- (-2021.673) [-2015.889] (-2029.816) (-2025.271) * [-2022.263] (-2023.401) (-2023.669) (-2024.389) -- 0:02:11
413000 -- (-2025.414) (-2023.958) [-2023.067] (-2026.911) * (-2022.888) (-2024.141) [-2020.242] (-2020.883) -- 0:02:10
414000 -- (-2024.316) (-2020.545) (-2030.509) [-2017.733] * (-2030.107) (-2031.340) [-2023.762] (-2028.062) -- 0:02:10
415000 -- [-2021.393] (-2019.607) (-2031.768) (-2022.313) * (-2038.234) (-2021.983) [-2030.367] (-2028.740) -- 0:02:09
Average standard deviation of split frequencies: 0.013598
416000 -- (-2022.935) (-2020.728) [-2028.362] (-2030.658) * (-2030.589) (-2022.990) (-2037.615) [-2020.977] -- 0:02:10
417000 -- (-2023.787) (-2025.638) [-2033.250] (-2037.336) * (-2026.497) [-2023.413] (-2037.294) (-2039.007) -- 0:02:10
418000 -- [-2021.583] (-2032.908) (-2018.814) (-2033.906) * (-2025.409) (-2026.124) [-2020.333] (-2031.088) -- 0:02:09
419000 -- (-2027.833) (-2023.308) [-2023.028] (-2020.705) * [-2017.451] (-2028.032) (-2023.249) (-2029.864) -- 0:02:08
420000 -- (-2020.499) [-2019.299] (-2021.878) (-2027.714) * (-2022.051) (-2027.834) [-2021.330] (-2032.464) -- 0:02:08
Average standard deviation of split frequencies: 0.013055
421000 -- [-2026.883] (-2024.907) (-2015.560) (-2028.825) * (-2024.512) (-2026.617) (-2024.336) [-2022.336] -- 0:02:09
422000 -- (-2031.173) [-2028.189] (-2027.008) (-2016.962) * (-2035.633) (-2026.523) (-2019.054) [-2021.333] -- 0:02:08
423000 -- (-2027.043) (-2022.190) [-2019.273] (-2032.030) * (-2026.051) [-2020.397] (-2018.654) (-2023.010) -- 0:02:08
424000 -- (-2023.138) [-2017.657] (-2027.490) (-2022.823) * (-2021.168) (-2025.273) (-2025.436) [-2032.355] -- 0:02:07
425000 -- (-2026.054) [-2020.689] (-2025.147) (-2023.337) * (-2027.092) (-2027.097) [-2023.767] (-2029.783) -- 0:02:08
Average standard deviation of split frequencies: 0.012726
426000 -- (-2032.256) (-2033.432) [-2019.198] (-2028.909) * (-2021.532) [-2020.316] (-2022.347) (-2033.045) -- 0:02:08
427000 -- (-2026.770) (-2025.049) [-2019.002] (-2022.189) * (-2023.509) [-2021.564] (-2016.544) (-2031.862) -- 0:02:07
428000 -- (-2025.391) (-2025.131) (-2040.586) [-2025.637] * [-2025.819] (-2027.160) (-2029.136) (-2028.061) -- 0:02:06
429000 -- (-2028.880) [-2017.187] (-2024.384) (-2021.165) * (-2028.383) (-2031.284) (-2024.616) [-2015.712] -- 0:02:06
430000 -- (-2024.882) (-2024.828) [-2019.720] (-2023.776) * [-2019.387] (-2023.781) (-2021.598) (-2026.687) -- 0:02:07
Average standard deviation of split frequencies: 0.011931
431000 -- (-2018.429) (-2036.845) [-2017.815] (-2030.484) * (-2032.365) [-2027.718] (-2021.427) (-2031.024) -- 0:02:06
432000 -- [-2025.167] (-2032.250) (-2029.573) (-2026.598) * (-2033.848) (-2036.283) (-2032.299) [-2020.457] -- 0:02:06
433000 -- (-2022.156) (-2028.909) (-2019.480) [-2025.126] * (-2037.099) (-2026.826) [-2028.421] (-2024.819) -- 0:02:05
434000 -- (-2035.296) [-2022.839] (-2028.922) (-2030.859) * (-2021.963) (-2025.815) [-2023.851] (-2025.644) -- 0:02:06
435000 -- (-2032.217) (-2025.971) [-2023.250] (-2037.203) * (-2031.320) (-2029.737) (-2030.805) [-2018.190] -- 0:02:05
Average standard deviation of split frequencies: 0.012650
436000 -- (-2020.656) (-2032.457) (-2032.834) [-2036.655] * (-2022.161) (-2025.990) [-2016.035] (-2026.358) -- 0:02:05
437000 -- (-2038.477) [-2028.707] (-2031.290) (-2026.196) * (-2028.161) (-2036.901) [-2017.609] (-2036.129) -- 0:02:04
438000 -- (-2030.557) [-2018.083] (-2029.357) (-2026.905) * (-2027.308) (-2026.983) [-2026.511] (-2019.806) -- 0:02:04
439000 -- [-2017.844] (-2022.152) (-2029.300) (-2025.229) * (-2029.864) (-2032.269) [-2027.606] (-2022.938) -- 0:02:05
440000 -- (-2024.366) (-2028.702) [-2024.220] (-2029.348) * (-2033.381) (-2032.795) [-2023.311] (-2019.818) -- 0:02:04
Average standard deviation of split frequencies: 0.012249
441000 -- (-2041.775) (-2027.239) (-2029.184) [-2019.928] * (-2028.812) [-2025.941] (-2023.357) (-2028.444) -- 0:02:04
442000 -- (-2027.633) (-2027.470) (-2019.673) [-2020.142] * (-2029.730) (-2021.938) (-2031.572) [-2029.762] -- 0:02:03
443000 -- [-2020.617] (-2027.899) (-2024.060) (-2044.168) * (-2029.325) [-2027.427] (-2034.226) (-2021.464) -- 0:02:04
444000 -- (-2014.239) [-2025.480] (-2023.187) (-2029.162) * (-2031.276) [-2018.983] (-2027.852) (-2029.265) -- 0:02:03
445000 -- (-2030.925) [-2028.818] (-2028.434) (-2023.103) * (-2022.691) (-2019.189) [-2028.753] (-2031.686) -- 0:02:03
Average standard deviation of split frequencies: 0.012049
446000 -- (-2021.525) (-2032.779) [-2023.947] (-2029.004) * (-2023.394) (-2023.298) (-2032.694) [-2025.033] -- 0:02:02
447000 -- (-2023.703) [-2028.945] (-2033.989) (-2026.788) * (-2024.203) (-2032.840) (-2027.247) [-2023.643] -- 0:02:02
448000 -- (-2025.673) [-2016.730] (-2029.888) (-2033.067) * (-2024.607) (-2031.969) (-2028.114) [-2027.984] -- 0:02:03
449000 -- (-2024.450) (-2025.905) [-2022.286] (-2030.720) * [-2026.627] (-2030.375) (-2033.456) (-2019.859) -- 0:02:02
450000 -- [-2019.790] (-2026.660) (-2028.852) (-2032.608) * (-2026.254) [-2030.607] (-2022.176) (-2019.134) -- 0:02:02
Average standard deviation of split frequencies: 0.011286
451000 -- (-2030.629) [-2021.709] (-2023.725) (-2023.650) * (-2026.470) [-2018.335] (-2032.620) (-2042.028) -- 0:02:01
452000 -- (-2017.529) (-2034.334) (-2036.502) [-2018.819] * (-2026.247) (-2028.853) (-2031.622) [-2031.028] -- 0:02:02
453000 -- (-2025.202) (-2026.934) (-2031.095) [-2020.686] * [-2022.798] (-2026.401) (-2034.393) (-2021.966) -- 0:02:01
454000 -- (-2022.033) (-2043.376) (-2017.780) [-2037.210] * (-2027.688) (-2027.766) (-2039.152) [-2027.043] -- 0:02:01
455000 -- (-2038.424) (-2045.378) [-2022.975] (-2033.841) * (-2044.140) [-2024.636] (-2030.116) (-2024.092) -- 0:02:00
Average standard deviation of split frequencies: 0.011752
456000 -- (-2029.391) (-2029.894) [-2031.298] (-2029.787) * [-2021.303] (-2021.958) (-2024.516) (-2032.576) -- 0:02:00
457000 -- (-2034.378) [-2028.938] (-2023.738) (-2024.280) * [-2025.123] (-2027.228) (-2019.853) (-2035.504) -- 0:02:01
458000 -- (-2032.014) [-2035.230] (-2029.214) (-2019.589) * (-2031.853) (-2026.824) [-2016.227] (-2020.537) -- 0:02:00
459000 -- (-2027.273) [-2025.014] (-2025.916) (-2019.117) * (-2032.109) (-2031.993) [-2023.290] (-2022.291) -- 0:02:00
460000 -- (-2020.254) [-2025.879] (-2029.613) (-2041.182) * (-2033.424) (-2034.411) (-2028.278) [-2023.930] -- 0:01:59
Average standard deviation of split frequencies: 0.011205
461000 -- [-2026.147] (-2036.949) (-2032.286) (-2017.545) * (-2030.928) (-2023.342) [-2015.034] (-2025.614) -- 0:02:00
462000 -- (-2032.692) (-2030.673) (-2018.760) [-2019.366] * (-2026.529) (-2023.819) (-2020.434) [-2020.208] -- 0:01:59
463000 -- (-2033.690) (-2022.501) (-2025.717) [-2021.424] * (-2035.744) (-2027.697) (-2030.847) [-2017.156] -- 0:01:59
464000 -- (-2025.425) (-2029.104) [-2027.037] (-2031.609) * (-2037.792) [-2014.199] (-2020.319) (-2024.084) -- 0:01:58
465000 -- (-2023.328) (-2031.025) [-2024.876] (-2034.275) * (-2022.480) (-2030.718) [-2022.829] (-2038.639) -- 0:01:58
Average standard deviation of split frequencies: 0.010824
466000 -- (-2019.862) (-2031.682) [-2025.347] (-2027.739) * (-2020.587) (-2027.331) (-2023.683) [-2021.479] -- 0:01:59
467000 -- (-2016.845) (-2032.540) [-2033.001] (-2024.845) * (-2019.429) [-2016.369] (-2028.692) (-2024.721) -- 0:01:58
468000 -- (-2023.358) (-2041.664) [-2024.372] (-2018.486) * [-2025.695] (-2036.683) (-2029.232) (-2026.787) -- 0:01:58
469000 -- (-2020.262) [-2026.387] (-2027.181) (-2023.343) * (-2036.095) [-2029.602] (-2024.953) (-2026.634) -- 0:01:57
470000 -- (-2026.701) (-2034.231) [-2023.859] (-2022.387) * (-2035.854) (-2024.105) [-2033.246] (-2024.330) -- 0:01:58
Average standard deviation of split frequencies: 0.010516
471000 -- (-2015.789) (-2027.038) [-2023.523] (-2030.292) * [-2024.560] (-2021.301) (-2032.272) (-2035.670) -- 0:01:57
472000 -- [-2017.262] (-2022.441) (-2030.661) (-2024.369) * [-2025.534] (-2022.459) (-2035.810) (-2026.173) -- 0:01:57
473000 -- [-2018.073] (-2033.575) (-2023.293) (-2025.173) * (-2022.059) (-2024.284) (-2029.816) [-2019.711] -- 0:01:56
474000 -- (-2030.122) (-2025.044) (-2023.982) [-2026.419] * (-2029.873) (-2022.668) (-2018.836) [-2025.756] -- 0:01:56
475000 -- (-2025.959) (-2026.301) [-2022.886] (-2029.124) * [-2025.048] (-2035.175) (-2021.363) (-2021.073) -- 0:01:57
Average standard deviation of split frequencies: 0.011339
476000 -- (-2024.147) [-2022.544] (-2030.272) (-2035.399) * [-2036.534] (-2025.301) (-2021.922) (-2028.778) -- 0:01:56
477000 -- (-2021.093) [-2024.991] (-2032.548) (-2026.285) * (-2030.344) (-2027.980) [-2025.685] (-2032.539) -- 0:01:56
478000 -- (-2024.157) [-2022.869] (-2032.751) (-2023.509) * (-2041.974) (-2033.358) [-2025.469] (-2029.064) -- 0:01:55
479000 -- [-2028.395] (-2022.674) (-2026.036) (-2027.080) * (-2036.243) [-2032.866] (-2027.232) (-2030.126) -- 0:01:55
480000 -- (-2049.765) [-2019.702] (-2028.697) (-2028.724) * (-2024.150) (-2020.962) (-2027.209) [-2023.921] -- 0:01:55
Average standard deviation of split frequencies: 0.011180
481000 -- [-2024.076] (-2027.387) (-2025.839) (-2024.147) * (-2031.831) (-2025.051) [-2020.753] (-2027.892) -- 0:01:55
482000 -- (-2016.854) (-2033.414) [-2021.507] (-2033.950) * (-2026.995) [-2028.190] (-2021.288) (-2028.134) -- 0:01:54
483000 -- [-2024.888] (-2034.770) (-2023.069) (-2033.355) * [-2017.381] (-2014.208) (-2032.082) (-2023.503) -- 0:01:54
484000 -- (-2017.529) [-2026.704] (-2025.866) (-2037.618) * (-2027.224) (-2029.368) [-2033.081] (-2024.437) -- 0:01:55
485000 -- (-2029.089) [-2025.463] (-2030.653) (-2027.891) * (-2022.533) (-2021.308) (-2026.289) [-2018.352] -- 0:01:54
Average standard deviation of split frequencies: 0.011640
486000 -- [-2023.020] (-2026.587) (-2038.401) (-2039.157) * (-2030.786) (-2023.543) [-2022.760] (-2021.193) -- 0:01:54
487000 -- (-2023.615) (-2035.393) [-2022.340] (-2020.954) * (-2031.288) (-2027.181) (-2040.596) [-2020.949] -- 0:01:53
488000 -- (-2016.814) [-2017.569] (-2041.801) (-2028.105) * (-2026.196) (-2034.874) (-2026.931) [-2027.609] -- 0:01:54
489000 -- (-2020.982) [-2019.802] (-2018.283) (-2034.922) * (-2030.602) [-2016.270] (-2021.518) (-2018.940) -- 0:01:53
490000 -- (-2028.312) (-2029.885) [-2026.052] (-2029.876) * (-2039.841) (-2032.985) [-2024.170] (-2031.665) -- 0:01:53
Average standard deviation of split frequencies: 0.011577
491000 -- (-2025.785) (-2025.503) [-2022.017] (-2031.566) * (-2031.674) (-2034.402) [-2020.384] (-2032.577) -- 0:01:52
492000 -- (-2031.526) (-2037.195) [-2032.775] (-2030.960) * (-2033.324) (-2023.827) [-2021.526] (-2032.544) -- 0:01:52
493000 -- [-2023.514] (-2036.649) (-2018.819) (-2024.231) * [-2022.876] (-2025.230) (-2022.738) (-2029.538) -- 0:01:53
494000 -- (-2032.212) (-2032.994) (-2027.417) [-2026.444] * [-2027.932] (-2023.559) (-2028.246) (-2031.097) -- 0:01:52
495000 -- (-2029.472) (-2021.717) [-2024.616] (-2025.300) * [-2028.131] (-2028.651) (-2026.139) (-2033.495) -- 0:01:52
Average standard deviation of split frequencies: 0.011595
496000 -- (-2029.921) (-2025.602) [-2019.355] (-2027.960) * [-2027.348] (-2020.249) (-2026.328) (-2031.181) -- 0:01:51
497000 -- (-2030.204) [-2018.040] (-2029.511) (-2036.834) * (-2029.826) (-2033.975) (-2029.234) [-2030.461] -- 0:01:52
498000 -- [-2034.119] (-2018.123) (-2035.367) (-2025.195) * (-2038.034) (-2020.346) (-2019.734) [-2018.542] -- 0:01:51
499000 -- (-2023.087) [-2024.451] (-2033.086) (-2030.627) * (-2039.037) (-2026.149) [-2016.318] (-2031.775) -- 0:01:51
500000 -- (-2027.002) [-2032.539] (-2021.683) (-2025.633) * (-2025.913) (-2032.137) (-2023.349) [-2022.488] -- 0:01:51
Average standard deviation of split frequencies: 0.011346
501000 -- [-2031.332] (-2032.049) (-2032.639) (-2038.889) * (-2024.919) (-2026.846) (-2021.953) [-2023.365] -- 0:01:50
502000 -- (-2024.106) [-2033.371] (-2033.956) (-2022.114) * [-2033.257] (-2029.623) (-2020.231) (-2026.166) -- 0:01:51
503000 -- (-2031.372) (-2030.407) [-2025.386] (-2017.936) * (-2026.176) [-2030.234] (-2026.034) (-2020.869) -- 0:01:50
504000 -- [-2034.864] (-2022.525) (-2045.751) (-2023.614) * (-2028.278) (-2028.963) [-2021.939] (-2024.650) -- 0:01:50
505000 -- (-2027.339) (-2024.179) [-2037.162] (-2021.176) * (-2028.662) [-2028.969] (-2028.674) (-2028.390) -- 0:01:49
Average standard deviation of split frequencies: 0.011133
506000 -- [-2020.391] (-2022.295) (-2023.332) (-2023.453) * (-2030.924) [-2021.807] (-2021.312) (-2029.018) -- 0:01:50
507000 -- (-2021.304) (-2026.418) [-2024.656] (-2033.298) * (-2027.659) [-2018.687] (-2018.198) (-2031.803) -- 0:01:49
508000 -- [-2024.626] (-2024.963) (-2027.970) (-2027.754) * (-2030.559) [-2019.258] (-2024.237) (-2021.952) -- 0:01:49
509000 -- (-2033.411) [-2025.518] (-2027.846) (-2035.061) * (-2031.459) (-2022.614) [-2025.545] (-2023.406) -- 0:01:49
510000 -- [-2026.772] (-2024.238) (-2033.155) (-2030.846) * (-2026.852) (-2023.264) (-2022.016) [-2025.994] -- 0:01:48
Average standard deviation of split frequencies: 0.010708
511000 -- (-2031.907) [-2024.634] (-2030.700) (-2034.055) * [-2018.851] (-2024.408) (-2029.765) (-2030.996) -- 0:01:49
512000 -- (-2019.905) [-2017.874] (-2025.566) (-2030.965) * (-2025.119) (-2028.799) [-2021.564] (-2029.104) -- 0:01:48
513000 -- (-2022.687) (-2025.590) [-2032.448] (-2033.717) * (-2027.843) [-2023.244] (-2021.731) (-2024.107) -- 0:01:48
514000 -- (-2025.941) [-2018.384] (-2027.584) (-2020.011) * (-2020.280) [-2020.105] (-2028.669) (-2024.795) -- 0:01:47
515000 -- (-2027.236) (-2029.406) [-2022.544] (-2024.677) * [-2023.903] (-2022.303) (-2034.853) (-2022.004) -- 0:01:47
Average standard deviation of split frequencies: 0.011191
516000 -- [-2028.066] (-2019.889) (-2028.441) (-2030.878) * (-2033.931) (-2024.485) (-2039.555) [-2021.656] -- 0:01:47
517000 -- (-2025.355) [-2017.291] (-2038.187) (-2028.875) * (-2042.943) (-2027.219) (-2026.806) [-2025.282] -- 0:01:47
518000 -- (-2028.821) [-2022.720] (-2026.895) (-2024.869) * (-2038.861) (-2036.245) [-2023.412] (-2032.430) -- 0:01:47
519000 -- (-2020.136) [-2036.134] (-2027.637) (-2019.018) * (-2024.967) (-2026.679) [-2026.860] (-2032.204) -- 0:01:46
520000 -- (-2022.541) (-2033.311) (-2028.796) [-2019.944] * (-2027.023) (-2031.067) (-2022.698) [-2034.656] -- 0:01:47
Average standard deviation of split frequencies: 0.011227
521000 -- (-2033.252) (-2028.214) (-2032.511) [-2013.155] * (-2029.039) (-2020.887) (-2036.257) [-2021.376] -- 0:01:46
522000 -- (-2029.107) [-2027.464] (-2020.828) (-2018.082) * (-2027.678) [-2019.740] (-2031.892) (-2020.717) -- 0:01:46
523000 -- [-2027.752] (-2028.417) (-2024.167) (-2045.142) * (-2022.854) (-2026.027) [-2025.397] (-2023.635) -- 0:01:45
524000 -- (-2028.254) (-2023.341) [-2016.286] (-2030.455) * (-2019.845) [-2021.556] (-2021.765) (-2025.714) -- 0:01:45
525000 -- [-2023.834] (-2023.870) (-2029.561) (-2026.929) * (-2028.737) (-2030.228) (-2032.825) [-2024.108] -- 0:01:45
Average standard deviation of split frequencies: 0.011427
526000 -- (-2024.599) [-2034.686] (-2035.234) (-2025.465) * (-2038.665) (-2018.145) (-2021.400) [-2023.744] -- 0:01:45
527000 -- [-2023.764] (-2028.052) (-2025.843) (-2027.933) * (-2039.154) (-2028.092) [-2019.420] (-2030.997) -- 0:01:45
528000 -- [-2017.569] (-2024.011) (-2028.401) (-2026.851) * [-2026.381] (-2030.302) (-2027.118) (-2034.043) -- 0:01:44
529000 -- (-2020.847) (-2028.218) [-2024.742] (-2021.638) * (-2032.735) (-2026.800) (-2024.580) [-2019.921] -- 0:01:45
530000 -- (-2029.275) (-2015.061) [-2021.822] (-2024.897) * (-2037.879) [-2018.471] (-2039.691) (-2026.083) -- 0:01:44
Average standard deviation of split frequencies: 0.012037
531000 -- (-2028.244) (-2028.268) (-2027.928) [-2032.285] * (-2035.549) [-2027.752] (-2039.342) (-2024.244) -- 0:01:44
532000 -- [-2025.538] (-2025.647) (-2016.416) (-2028.700) * [-2027.328] (-2029.630) (-2032.898) (-2019.891) -- 0:01:43
533000 -- (-2027.396) (-2030.826) [-2026.743] (-2019.218) * (-2026.711) [-2034.296] (-2026.269) (-2026.881) -- 0:01:43
534000 -- (-2023.502) (-2017.623) (-2034.318) [-2023.176] * (-2025.286) (-2024.474) (-2024.827) [-2013.600] -- 0:01:43
535000 -- (-2024.489) (-2019.570) [-2027.522] (-2027.573) * (-2030.453) [-2023.125] (-2029.034) (-2029.614) -- 0:01:43
Average standard deviation of split frequencies: 0.012533
536000 -- (-2021.666) (-2023.395) [-2026.923] (-2022.365) * [-2021.309] (-2028.063) (-2034.475) (-2018.046) -- 0:01:43
537000 -- (-2028.071) (-2033.930) (-2029.466) [-2024.565] * (-2021.220) (-2021.537) [-2022.585] (-2018.782) -- 0:01:42
538000 -- (-2031.315) (-2032.382) [-2024.936] (-2022.163) * (-2028.538) [-2023.289] (-2037.293) (-2027.477) -- 0:01:43
539000 -- (-2028.747) [-2020.570] (-2036.933) (-2030.256) * (-2027.436) (-2028.298) (-2053.396) [-2028.577] -- 0:01:42
540000 -- (-2019.751) (-2028.443) [-2024.461] (-2027.175) * (-2027.233) (-2040.633) (-2031.441) [-2033.107] -- 0:01:42
Average standard deviation of split frequencies: 0.013035
541000 -- (-2027.106) (-2023.718) [-2019.284] (-2033.766) * (-2027.423) (-2025.075) [-2030.484] (-2040.262) -- 0:01:41
542000 -- [-2021.308] (-2022.684) (-2037.516) (-2028.026) * (-2031.780) (-2024.124) (-2029.570) [-2020.470] -- 0:01:41
543000 -- [-2027.696] (-2032.097) (-2036.353) (-2033.513) * (-2030.735) (-2033.823) [-2024.309] (-2027.968) -- 0:01:41
544000 -- (-2021.758) (-2031.364) (-2029.872) [-2026.149] * (-2029.895) [-2026.786] (-2031.622) (-2029.702) -- 0:01:41
545000 -- (-2021.883) (-2033.124) [-2025.211] (-2034.778) * (-2028.417) (-2025.781) [-2029.204] (-2030.028) -- 0:01:41
Average standard deviation of split frequencies: 0.012260
546000 -- (-2020.749) [-2019.582] (-2031.799) (-2024.915) * [-2027.065] (-2031.221) (-2034.357) (-2039.557) -- 0:01:40
547000 -- (-2026.630) (-2036.012) (-2021.238) [-2020.124] * [-2029.306] (-2025.719) (-2033.560) (-2036.821) -- 0:01:41
548000 -- (-2039.445) (-2025.171) [-2023.832] (-2020.646) * (-2023.810) [-2025.089] (-2026.673) (-2025.618) -- 0:01:40
549000 -- (-2037.200) (-2023.672) [-2019.125] (-2029.410) * (-2036.749) (-2034.068) [-2024.506] (-2013.816) -- 0:01:40
550000 -- (-2028.247) (-2029.448) [-2023.986] (-2029.009) * (-2031.998) (-2022.479) [-2025.810] (-2025.684) -- 0:01:39
Average standard deviation of split frequencies: 0.012070
551000 -- (-2035.054) [-2027.866] (-2015.957) (-2020.360) * (-2023.460) [-2029.117] (-2029.754) (-2031.533) -- 0:01:39
552000 -- (-2018.284) [-2019.847] (-2022.705) (-2028.172) * (-2027.774) (-2018.269) (-2030.577) [-2024.361] -- 0:01:39
553000 -- (-2020.856) (-2026.676) (-2024.206) [-2013.358] * [-2017.489] (-2019.787) (-2041.169) (-2031.638) -- 0:01:39
554000 -- (-2037.532) (-2022.248) [-2028.066] (-2021.865) * (-2026.800) [-2025.313] (-2027.696) (-2031.749) -- 0:01:39
555000 -- (-2035.093) (-2033.105) [-2027.059] (-2026.883) * (-2022.309) [-2017.732] (-2024.282) (-2024.435) -- 0:01:38
Average standard deviation of split frequencies: 0.013184
556000 -- (-2022.315) (-2019.567) [-2035.385] (-2016.409) * [-2025.485] (-2023.603) (-2033.116) (-2026.569) -- 0:01:39
557000 -- (-2018.453) (-2033.170) [-2027.827] (-2020.199) * (-2036.201) (-2023.289) [-2025.119] (-2026.371) -- 0:01:38
558000 -- (-2019.969) (-2024.443) (-2026.834) [-2019.602] * (-2026.614) [-2034.063] (-2021.364) (-2024.072) -- 0:01:38
559000 -- (-2029.438) [-2027.317] (-2027.327) (-2033.954) * (-2028.115) (-2025.893) [-2024.725] (-2020.890) -- 0:01:37
560000 -- (-2029.135) [-2015.234] (-2033.376) (-2021.060) * [-2020.398] (-2026.762) (-2029.920) (-2019.489) -- 0:01:38
Average standard deviation of split frequencies: 0.013957
561000 -- (-2028.645) (-2030.860) [-2025.971] (-2027.172) * (-2025.168) [-2019.805] (-2020.952) (-2019.934) -- 0:01:37
562000 -- (-2026.579) (-2028.993) [-2023.177] (-2029.234) * (-2029.539) [-2023.391] (-2030.110) (-2030.409) -- 0:01:37
563000 -- [-2024.283] (-2026.530) (-2031.557) (-2035.387) * (-2034.500) (-2028.329) [-2016.547] (-2023.057) -- 0:01:37
564000 -- (-2025.418) [-2033.301] (-2037.834) (-2025.434) * (-2031.066) [-2016.541] (-2015.927) (-2022.145) -- 0:01:36
565000 -- (-2025.143) (-2039.014) (-2032.218) [-2023.476] * (-2033.611) (-2023.529) (-2024.145) [-2019.858] -- 0:01:37
Average standard deviation of split frequencies: 0.014575
566000 -- (-2039.412) (-2034.085) (-2022.238) [-2022.689] * (-2031.513) [-2021.471] (-2021.442) (-2026.773) -- 0:01:36
567000 -- (-2026.793) [-2025.236] (-2030.380) (-2025.863) * (-2027.148) [-2031.124] (-2019.947) (-2030.495) -- 0:01:36
568000 -- [-2021.760] (-2038.244) (-2019.278) (-2027.819) * [-2032.996] (-2022.266) (-2028.309) (-2025.008) -- 0:01:35
569000 -- (-2026.985) (-2027.398) (-2022.640) [-2021.514] * (-2030.199) (-2031.147) (-2041.170) [-2034.332] -- 0:01:36
570000 -- (-2024.870) (-2018.452) (-2031.473) [-2025.178] * [-2025.778] (-2032.784) (-2035.812) (-2041.256) -- 0:01:35
Average standard deviation of split frequencies: 0.014167
571000 -- (-2030.917) (-2019.863) (-2025.883) [-2027.366] * [-2023.653] (-2026.776) (-2043.504) (-2026.705) -- 0:01:35
572000 -- (-2029.293) (-2027.979) (-2031.866) [-2018.816] * [-2020.159] (-2033.389) (-2028.921) (-2033.638) -- 0:01:35
573000 -- (-2030.068) (-2031.749) (-2038.977) [-2024.268] * (-2023.775) [-2031.777] (-2038.139) (-2028.161) -- 0:01:34
574000 -- [-2024.266] (-2038.320) (-2026.086) (-2020.909) * (-2026.406) (-2035.378) [-2022.595] (-2037.950) -- 0:01:34
575000 -- [-2025.578] (-2026.454) (-2019.799) (-2039.338) * (-2034.301) [-2023.750] (-2031.119) (-2030.337) -- 0:01:34
Average standard deviation of split frequencies: 0.014486
576000 -- (-2027.023) (-2033.378) [-2021.179] (-2033.563) * (-2031.508) (-2030.554) (-2023.724) [-2021.360] -- 0:01:34
577000 -- (-2025.863) (-2024.894) (-2022.722) [-2032.039] * (-2032.066) (-2034.276) (-2017.564) [-2029.859] -- 0:01:33
578000 -- (-2036.707) [-2015.700] (-2017.559) (-2037.713) * (-2029.520) (-2028.375) [-2022.664] (-2026.582) -- 0:01:34
579000 -- [-2022.314] (-2021.785) (-2021.805) (-2038.144) * (-2044.892) (-2020.680) [-2028.791] (-2033.129) -- 0:01:33
580000 -- (-2029.964) (-2017.957) (-2026.050) [-2030.883] * (-2022.147) (-2023.619) [-2022.569] (-2043.913) -- 0:01:33
Average standard deviation of split frequencies: 0.014572
581000 -- (-2021.676) (-2021.729) (-2022.886) [-2024.505] * (-2031.448) [-2019.864] (-2032.548) (-2035.187) -- 0:01:33
582000 -- (-2029.948) [-2021.939] (-2025.155) (-2024.204) * (-2023.127) [-2014.192] (-2019.518) (-2031.119) -- 0:01:32
583000 -- [-2020.940] (-2024.653) (-2027.234) (-2040.943) * (-2028.218) (-2020.201) (-2021.509) [-2020.702] -- 0:01:32
584000 -- (-2028.882) [-2015.353] (-2026.494) (-2032.504) * (-2023.999) [-2045.036] (-2020.935) (-2028.718) -- 0:01:32
585000 -- (-2025.746) [-2028.601] (-2025.920) (-2027.081) * (-2028.097) (-2028.913) (-2024.524) [-2022.910] -- 0:01:32
Average standard deviation of split frequencies: 0.014762
586000 -- (-2026.072) (-2033.074) [-2020.799] (-2025.470) * (-2020.679) (-2027.023) (-2028.681) [-2024.948] -- 0:01:31
587000 -- (-2024.173) [-2024.878] (-2028.752) (-2028.591) * (-2025.805) (-2027.550) [-2029.268] (-2024.798) -- 0:01:32
588000 -- (-2018.813) [-2023.266] (-2031.128) (-2025.804) * (-2034.765) [-2020.529] (-2032.231) (-2019.250) -- 0:01:31
589000 -- (-2024.739) (-2026.476) (-2035.986) [-2023.351] * (-2026.493) (-2017.567) (-2028.246) [-2017.359] -- 0:01:31
590000 -- [-2023.899] (-2027.170) (-2024.549) (-2023.956) * (-2020.963) (-2017.428) [-2020.313] (-2031.546) -- 0:01:31
Average standard deviation of split frequencies: 0.015323
591000 -- (-2024.990) (-2024.648) [-2024.562] (-2024.293) * (-2025.279) (-2028.142) (-2030.614) [-2017.944] -- 0:01:31
592000 -- (-2032.945) [-2019.859] (-2037.726) (-2024.593) * (-2029.029) (-2029.814) (-2019.483) [-2027.638] -- 0:01:30
593000 -- (-2028.975) (-2025.106) [-2026.579] (-2033.318) * (-2029.472) (-2035.893) [-2028.073] (-2021.621) -- 0:01:30
594000 -- (-2030.418) (-2025.471) [-2022.544] (-2028.489) * (-2021.675) (-2019.624) [-2016.564] (-2021.514) -- 0:01:30
595000 -- [-2018.364] (-2032.531) (-2029.522) (-2028.216) * (-2028.113) (-2014.582) [-2033.757] (-2022.827) -- 0:01:29
Average standard deviation of split frequencies: 0.015186
596000 -- [-2015.281] (-2026.391) (-2029.261) (-2032.286) * (-2026.383) (-2022.321) (-2032.331) [-2027.994] -- 0:01:30
597000 -- (-2021.807) [-2021.856] (-2019.869) (-2023.261) * (-2034.773) (-2023.688) [-2026.970] (-2022.428) -- 0:01:29
598000 -- (-2025.108) (-2021.148) [-2023.292] (-2028.779) * (-2029.371) (-2029.358) (-2027.036) [-2018.887] -- 0:01:29
599000 -- (-2020.435) [-2020.842] (-2025.695) (-2031.114) * (-2024.132) (-2036.220) [-2019.981] (-2035.043) -- 0:01:29
600000 -- [-2026.173] (-2028.541) (-2037.411) (-2035.315) * (-2033.326) (-2035.472) (-2028.936) [-2032.163] -- 0:01:29
Average standard deviation of split frequencies: 0.015500
601000 -- (-2022.408) (-2026.748) (-2028.818) [-2026.099] * (-2029.617) [-2022.568] (-2026.735) (-2020.903) -- 0:01:28
602000 -- (-2025.542) (-2023.836) (-2025.384) [-2027.557] * [-2030.674] (-2021.978) (-2032.753) (-2025.644) -- 0:01:28
603000 -- (-2031.188) [-2037.205] (-2035.878) (-2028.606) * (-2026.258) (-2031.458) (-2019.548) [-2015.484] -- 0:01:28
604000 -- (-2024.096) [-2027.431] (-2026.452) (-2027.830) * (-2032.264) [-2022.821] (-2030.475) (-2029.486) -- 0:01:27
605000 -- (-2026.090) (-2032.319) [-2026.026] (-2033.507) * (-2031.515) (-2038.763) (-2032.105) [-2025.320] -- 0:01:28
Average standard deviation of split frequencies: 0.015402
606000 -- [-2020.038] (-2030.754) (-2022.931) (-2030.321) * (-2025.955) (-2026.954) [-2024.430] (-2028.153) -- 0:01:27
607000 -- [-2020.893] (-2027.204) (-2032.758) (-2025.755) * (-2031.826) (-2027.745) (-2024.763) [-2021.781] -- 0:01:27
608000 -- (-2023.609) (-2037.271) (-2040.546) [-2026.773] * (-2027.206) [-2027.639] (-2028.596) (-2022.723) -- 0:01:27
609000 -- (-2040.435) [-2027.718] (-2030.122) (-2028.962) * [-2021.667] (-2023.314) (-2026.640) (-2027.086) -- 0:01:27
610000 -- [-2030.636] (-2025.158) (-2026.550) (-2023.753) * [-2027.290] (-2034.790) (-2036.081) (-2034.511) -- 0:01:26
Average standard deviation of split frequencies: 0.015169
611000 -- (-2029.660) (-2034.022) [-2031.832] (-2022.568) * (-2033.289) (-2027.633) [-2018.711] (-2033.557) -- 0:01:26
612000 -- (-2028.379) [-2029.477] (-2029.314) (-2031.424) * [-2032.892] (-2021.183) (-2021.709) (-2027.354) -- 0:01:26
613000 -- (-2025.029) (-2024.683) (-2035.842) [-2021.816] * (-2030.596) (-2025.504) (-2032.262) [-2021.229] -- 0:01:25
614000 -- (-2023.439) (-2032.184) [-2021.617] (-2023.281) * (-2032.010) (-2023.097) (-2032.317) [-2026.034] -- 0:01:26
615000 -- (-2021.244) [-2030.764] (-2017.197) (-2023.782) * (-2022.884) (-2024.507) [-2022.119] (-2028.289) -- 0:01:25
Average standard deviation of split frequencies: 0.014846
616000 -- (-2017.971) (-2044.516) [-2029.981] (-2025.541) * (-2024.838) (-2017.131) [-2029.892] (-2025.349) -- 0:01:25
617000 -- (-2027.251) (-2037.835) [-2025.639] (-2024.210) * [-2026.876] (-2023.435) (-2023.949) (-2032.307) -- 0:01:25
618000 -- (-2035.245) (-2033.418) (-2026.486) [-2019.333] * (-2032.384) [-2021.906] (-2026.037) (-2036.570) -- 0:01:25
619000 -- (-2037.306) (-2034.290) (-2028.242) [-2020.328] * [-2023.054] (-2029.763) (-2018.728) (-2021.947) -- 0:01:24
620000 -- [-2022.665] (-2026.782) (-2032.628) (-2024.331) * (-2027.472) (-2045.933) (-2031.090) [-2028.482] -- 0:01:24
Average standard deviation of split frequencies: 0.014165
621000 -- (-2018.897) (-2021.475) (-2033.850) [-2017.173] * [-2029.008] (-2029.555) (-2031.213) (-2018.806) -- 0:01:24
622000 -- (-2033.959) (-2020.767) (-2032.554) [-2023.454] * (-2030.061) (-2038.551) (-2022.203) [-2028.728] -- 0:01:23
623000 -- [-2018.712] (-2033.384) (-2025.512) (-2019.748) * (-2033.637) (-2029.812) [-2024.327] (-2023.291) -- 0:01:24
624000 -- (-2020.878) [-2021.121] (-2025.036) (-2040.637) * (-2023.963) (-2021.607) [-2030.151] (-2021.135) -- 0:01:23
625000 -- (-2021.724) (-2016.878) [-2023.368] (-2031.701) * (-2032.301) (-2025.413) [-2016.043] (-2031.111) -- 0:01:23
Average standard deviation of split frequencies: 0.014157
626000 -- [-2023.321] (-2026.231) (-2019.469) (-2030.001) * (-2037.327) (-2021.088) (-2028.914) [-2028.723] -- 0:01:23
627000 -- (-2022.857) [-2022.127] (-2025.521) (-2037.395) * (-2026.632) [-2018.956] (-2032.516) (-2017.925) -- 0:01:23
628000 -- (-2028.420) (-2034.066) [-2016.702] (-2027.380) * (-2031.408) (-2022.985) (-2026.801) [-2021.762] -- 0:01:22
629000 -- (-2029.935) (-2037.415) (-2033.498) [-2022.811] * [-2024.340] (-2030.430) (-2029.576) (-2024.956) -- 0:01:22
630000 -- (-2026.184) [-2021.913] (-2029.186) (-2036.195) * (-2034.313) (-2032.064) (-2027.290) [-2022.092] -- 0:01:22
Average standard deviation of split frequencies: 0.013903
631000 -- (-2019.172) (-2019.940) [-2017.706] (-2045.746) * (-2023.422) [-2025.730] (-2023.545) (-2030.862) -- 0:01:21
632000 -- [-2020.117] (-2023.807) (-2027.037) (-2025.199) * (-2025.037) (-2029.789) [-2022.595] (-2031.796) -- 0:01:22
633000 -- (-2027.691) (-2039.477) [-2023.391] (-2022.138) * (-2019.075) (-2026.551) [-2016.538] (-2024.959) -- 0:01:21
634000 -- (-2040.639) [-2028.066] (-2029.099) (-2034.417) * [-2029.251] (-2039.557) (-2026.096) (-2026.371) -- 0:01:21
635000 -- (-2018.194) (-2018.109) [-2035.253] (-2031.816) * [-2030.153] (-2032.219) (-2025.966) (-2024.071) -- 0:01:21
Average standard deviation of split frequencies: 0.014491
636000 -- [-2027.047] (-2028.470) (-2031.901) (-2024.470) * [-2018.903] (-2032.184) (-2036.685) (-2030.851) -- 0:01:21
637000 -- [-2018.915] (-2036.104) (-2034.285) (-2024.080) * (-2024.806) (-2030.749) [-2032.064] (-2025.794) -- 0:01:20
638000 -- (-2015.227) [-2023.683] (-2030.394) (-2022.422) * [-2026.158] (-2033.945) (-2021.997) (-2028.796) -- 0:01:20
639000 -- (-2020.639) (-2023.300) [-2022.521] (-2034.684) * (-2020.242) (-2028.932) [-2026.132] (-2043.352) -- 0:01:20
640000 -- [-2028.424] (-2032.726) (-2022.889) (-2023.281) * (-2025.231) (-2020.570) [-2025.400] (-2032.154) -- 0:01:19
Average standard deviation of split frequencies: 0.015084
641000 -- (-2026.099) (-2031.944) (-2031.979) [-2026.736] * (-2021.895) [-2019.005] (-2038.186) (-2033.281) -- 0:01:20
642000 -- (-2032.298) [-2024.264] (-2039.504) (-2026.741) * (-2026.164) (-2030.619) [-2024.793] (-2021.535) -- 0:01:19
643000 -- [-2026.351] (-2029.612) (-2025.839) (-2023.322) * (-2026.478) (-2021.658) [-2026.847] (-2019.716) -- 0:01:19
644000 -- (-2024.707) (-2025.290) [-2031.007] (-2019.503) * (-2019.948) (-2024.346) (-2031.612) [-2027.253] -- 0:01:19
645000 -- (-2038.799) (-2027.348) [-2023.026] (-2030.650) * (-2023.560) (-2020.171) [-2028.103] (-2027.226) -- 0:01:19
Average standard deviation of split frequencies: 0.014704
646000 -- (-2033.276) (-2026.041) (-2025.002) [-2030.084] * (-2021.907) (-2025.916) [-2025.270] (-2031.570) -- 0:01:18
647000 -- (-2019.348) (-2041.295) (-2039.897) [-2029.547] * (-2034.299) [-2016.634] (-2027.612) (-2027.881) -- 0:01:18
648000 -- (-2027.987) [-2023.169] (-2032.398) (-2035.807) * (-2027.618) (-2033.262) [-2024.605] (-2036.856) -- 0:01:18
649000 -- (-2022.024) (-2027.559) (-2032.535) [-2040.885] * (-2029.541) (-2028.185) [-2028.066] (-2021.779) -- 0:01:17
650000 -- (-2037.549) (-2024.358) (-2027.287) [-2029.559] * [-2036.067] (-2028.504) (-2021.204) (-2039.242) -- 0:01:18
Average standard deviation of split frequencies: 0.014019
651000 -- (-2047.770) (-2024.847) [-2030.558] (-2035.455) * [-2025.244] (-2039.044) (-2039.432) (-2019.387) -- 0:01:17
652000 -- [-2026.337] (-2026.738) (-2026.676) (-2024.636) * (-2028.887) (-2031.857) (-2032.815) [-2017.105] -- 0:01:17
653000 -- [-2024.637] (-2041.318) (-2034.559) (-2019.017) * (-2023.570) [-2032.895] (-2023.520) (-2022.391) -- 0:01:17
654000 -- (-2034.825) (-2027.645) (-2029.987) [-2025.442] * [-2028.063] (-2025.605) (-2029.121) (-2033.380) -- 0:01:16
655000 -- [-2025.934] (-2032.896) (-2029.865) (-2029.142) * [-2023.019] (-2024.591) (-2033.208) (-2030.227) -- 0:01:16
Average standard deviation of split frequencies: 0.013797
656000 -- (-2038.463) [-2023.966] (-2031.552) (-2025.415) * [-2025.823] (-2028.444) (-2017.765) (-2032.561) -- 0:01:16
657000 -- (-2028.175) [-2021.536] (-2033.412) (-2030.159) * (-2027.749) [-2014.196] (-2029.227) (-2025.511) -- 0:01:16
658000 -- [-2031.493] (-2026.715) (-2029.640) (-2031.884) * (-2029.922) (-2029.970) (-2031.597) [-2018.371] -- 0:01:15
659000 -- (-2023.376) (-2021.526) [-2020.898] (-2025.871) * [-2020.113] (-2030.485) (-2036.546) (-2018.426) -- 0:01:16
660000 -- (-2019.544) (-2024.667) [-2026.325] (-2032.401) * (-2046.423) (-2029.173) [-2021.964] (-2025.070) -- 0:01:15
Average standard deviation of split frequencies: 0.014092
661000 -- [-2017.198] (-2033.251) (-2027.607) (-2020.864) * (-2023.150) (-2040.782) [-2023.717] (-2027.558) -- 0:01:15
662000 -- (-2021.949) (-2023.513) [-2030.410] (-2024.181) * (-2024.093) [-2025.570] (-2021.010) (-2028.766) -- 0:01:15
663000 -- (-2026.827) [-2020.885] (-2025.333) (-2026.833) * (-2029.301) (-2030.414) (-2024.382) [-2021.119] -- 0:01:14
664000 -- (-2024.147) (-2018.861) [-2024.265] (-2026.351) * (-2035.029) (-2033.766) (-2019.997) [-2025.252] -- 0:01:14
665000 -- (-2024.793) [-2019.779] (-2030.172) (-2020.485) * [-2034.403] (-2033.858) (-2025.759) (-2020.564) -- 0:01:14
Average standard deviation of split frequencies: 0.014475
666000 -- (-2025.318) (-2025.988) [-2029.011] (-2036.134) * (-2022.318) (-2029.378) [-2024.426] (-2017.005) -- 0:01:14
667000 -- (-2023.071) [-2033.706] (-2035.506) (-2027.972) * (-2025.006) (-2033.756) [-2016.592] (-2029.520) -- 0:01:13
668000 -- (-2026.559) (-2031.632) [-2026.565] (-2022.299) * (-2017.572) (-2030.428) [-2023.337] (-2025.802) -- 0:01:14
669000 -- (-2034.579) (-2033.271) [-2027.634] (-2030.349) * (-2030.685) (-2025.382) [-2026.892] (-2033.512) -- 0:01:13
670000 -- [-2021.435] (-2035.518) (-2041.080) (-2032.142) * (-2031.605) (-2032.582) [-2023.651] (-2034.848) -- 0:01:13
Average standard deviation of split frequencies: 0.013952
671000 -- (-2022.231) [-2021.396] (-2034.031) (-2030.742) * [-2028.770] (-2043.832) (-2029.177) (-2034.783) -- 0:01:13
672000 -- (-2031.895) [-2018.395] (-2035.655) (-2034.726) * (-2022.233) (-2033.088) [-2024.923] (-2029.741) -- 0:01:12
673000 -- [-2032.673] (-2024.262) (-2044.913) (-2020.912) * [-2027.552] (-2036.004) (-2024.383) (-2028.557) -- 0:01:12
674000 -- (-2034.989) (-2026.442) (-2036.740) [-2022.966] * (-2027.244) (-2035.916) [-2028.878] (-2025.972) -- 0:01:12
675000 -- (-2033.949) (-2023.069) (-2029.364) [-2027.907] * (-2028.797) [-2022.560] (-2032.085) (-2036.473) -- 0:01:12
Average standard deviation of split frequencies: 0.014017
676000 -- [-2033.080] (-2028.073) (-2025.550) (-2022.557) * (-2030.033) (-2029.391) [-2027.626] (-2023.827) -- 0:01:11
677000 -- (-2026.043) (-2038.509) (-2020.492) [-2025.583] * (-2030.633) (-2035.055) (-2024.377) [-2030.299] -- 0:01:12
678000 -- [-2023.298] (-2015.819) (-2025.144) (-2022.321) * (-2021.848) (-2034.716) [-2028.409] (-2030.544) -- 0:01:11
679000 -- (-2031.728) [-2022.645] (-2020.383) (-2028.937) * (-2027.942) [-2029.178] (-2030.869) (-2039.315) -- 0:01:11
680000 -- (-2023.680) (-2023.830) [-2024.945] (-2029.552) * (-2035.652) [-2026.801] (-2031.673) (-2026.880) -- 0:01:11
Average standard deviation of split frequencies: 0.014059
681000 -- (-2020.449) [-2028.724] (-2021.641) (-2021.022) * [-2030.548] (-2029.322) (-2020.542) (-2024.148) -- 0:01:10
682000 -- (-2033.036) (-2027.453) [-2029.187] (-2025.168) * (-2028.613) (-2026.987) [-2022.155] (-2027.960) -- 0:01:10
683000 -- (-2025.592) [-2025.119] (-2026.650) (-2025.844) * (-2029.521) (-2026.328) (-2028.314) [-2033.274] -- 0:01:10
684000 -- (-2021.481) [-2023.293] (-2018.544) (-2026.525) * (-2023.052) (-2040.471) [-2022.118] (-2024.813) -- 0:01:10
685000 -- (-2018.068) (-2031.214) (-2022.482) [-2031.993] * [-2031.388] (-2034.543) (-2027.948) (-2034.928) -- 0:01:09
Average standard deviation of split frequencies: 0.013709
686000 -- (-2032.475) (-2030.701) (-2030.477) [-2015.954] * (-2032.235) [-2025.529] (-2035.633) (-2029.391) -- 0:01:10
687000 -- (-2018.819) (-2029.235) [-2024.959] (-2033.020) * [-2029.079] (-2032.817) (-2027.336) (-2036.761) -- 0:01:09
688000 -- (-2025.558) (-2033.892) (-2020.562) [-2031.361] * (-2029.032) [-2033.580] (-2028.839) (-2020.094) -- 0:01:09
689000 -- [-2022.445] (-2025.702) (-2029.970) (-2029.682) * (-2036.459) (-2035.434) [-2027.317] (-2035.379) -- 0:01:09
690000 -- (-2032.106) (-2031.310) (-2029.740) [-2033.200] * [-2035.166] (-2024.452) (-2036.046) (-2031.723) -- 0:01:08
Average standard deviation of split frequencies: 0.013958
691000 -- (-2033.373) (-2035.853) (-2025.213) [-2024.521] * [-2026.428] (-2023.736) (-2029.010) (-2022.022) -- 0:01:08
692000 -- [-2021.762] (-2028.884) (-2022.803) (-2022.629) * (-2029.689) [-2025.992] (-2020.677) (-2031.998) -- 0:01:08
693000 -- (-2035.779) (-2031.330) (-2032.478) [-2021.754] * [-2026.842] (-2027.843) (-2025.247) (-2025.252) -- 0:01:08
694000 -- (-2030.170) (-2026.089) (-2024.294) [-2017.796] * [-2014.534] (-2027.323) (-2025.491) (-2028.768) -- 0:01:07
695000 -- (-2030.800) (-2019.546) [-2028.391] (-2027.665) * (-2028.487) (-2025.856) [-2030.682] (-2038.647) -- 0:01:08
Average standard deviation of split frequencies: 0.013783
696000 -- (-2026.683) (-2016.648) (-2039.289) [-2022.702] * (-2032.485) (-2029.859) [-2023.922] (-2036.294) -- 0:01:07
697000 -- (-2025.000) (-2022.291) (-2020.104) [-2023.440] * [-2029.857] (-2025.123) (-2024.852) (-2031.797) -- 0:01:07
698000 -- (-2020.641) (-2024.760) (-2030.096) [-2025.695] * [-2023.297] (-2030.453) (-2040.245) (-2027.773) -- 0:01:07
699000 -- (-2028.589) (-2022.349) [-2026.691] (-2041.409) * (-2028.823) (-2025.750) [-2019.198] (-2023.694) -- 0:01:06
700000 -- (-2034.259) (-2028.231) (-2027.556) [-2032.228] * (-2033.127) [-2020.779] (-2020.918) (-2026.262) -- 0:01:06
Average standard deviation of split frequencies: 0.013960
701000 -- [-2027.046] (-2021.964) (-2022.053) (-2035.946) * [-2030.052] (-2033.590) (-2028.790) (-2032.335) -- 0:01:06
702000 -- (-2021.408) (-2026.387) (-2022.058) [-2027.850] * (-2034.361) [-2030.972] (-2024.801) (-2018.567) -- 0:01:06
703000 -- [-2021.406] (-2032.873) (-2025.545) (-2035.242) * [-2023.877] (-2018.764) (-2023.439) (-2030.143) -- 0:01:05
704000 -- (-2027.210) (-2028.066) [-2017.440] (-2027.694) * (-2026.617) (-2020.479) (-2026.829) [-2026.838] -- 0:01:06
705000 -- (-2024.764) (-2026.680) (-2022.376) [-2020.175] * (-2020.187) (-2021.981) (-2030.910) [-2041.828] -- 0:01:05
Average standard deviation of split frequencies: 0.013721
706000 -- (-2033.486) (-2029.010) [-2020.143] (-2027.249) * (-2034.030) (-2028.389) [-2023.344] (-2031.454) -- 0:01:05
707000 -- [-2024.142] (-2025.904) (-2022.772) (-2024.047) * (-2022.480) (-2016.557) (-2033.446) [-2020.469] -- 0:01:05
708000 -- (-2036.045) (-2016.804) [-2025.672] (-2031.956) * [-2020.689] (-2025.108) (-2022.946) (-2030.664) -- 0:01:04
709000 -- (-2030.759) (-2036.183) (-2017.788) [-2022.198] * (-2022.017) (-2028.850) [-2021.295] (-2024.562) -- 0:01:04
710000 -- (-2036.808) [-2021.801] (-2024.006) (-2026.387) * [-2023.034] (-2032.860) (-2021.919) (-2021.743) -- 0:01:04
Average standard deviation of split frequencies: 0.013764
711000 -- (-2030.712) (-2019.214) [-2023.440] (-2033.036) * [-2020.149] (-2029.240) (-2022.953) (-2023.988) -- 0:01:04
712000 -- (-2031.294) (-2027.095) (-2029.787) [-2021.524] * (-2019.508) (-2033.253) [-2014.621] (-2020.619) -- 0:01:03
713000 -- (-2032.470) (-2030.367) [-2022.121] (-2024.548) * (-2023.395) (-2023.254) (-2031.566) [-2020.484] -- 0:01:04
714000 -- (-2022.510) (-2024.884) [-2023.805] (-2031.352) * (-2026.717) (-2027.012) [-2024.916] (-2024.426) -- 0:01:03
715000 -- (-2030.674) [-2030.738] (-2031.555) (-2029.229) * [-2025.250] (-2025.026) (-2026.426) (-2022.683) -- 0:01:03
Average standard deviation of split frequencies: 0.013859
716000 -- (-2020.314) (-2028.749) (-2026.612) [-2023.748] * (-2027.457) (-2024.224) [-2031.241] (-2017.055) -- 0:01:03
717000 -- (-2023.080) (-2022.842) (-2036.287) [-2025.363] * (-2043.597) (-2021.718) [-2032.846] (-2033.110) -- 0:01:02
718000 -- (-2022.962) (-2039.232) [-2029.775] (-2021.266) * (-2030.338) (-2030.838) [-2027.252] (-2017.879) -- 0:01:02
719000 -- [-2025.238] (-2036.199) (-2027.244) (-2034.135) * (-2038.303) (-2020.773) (-2028.697) [-2018.491] -- 0:01:02
720000 -- (-2029.493) (-2035.582) [-2018.659] (-2032.986) * [-2026.877] (-2019.904) (-2033.833) (-2033.590) -- 0:01:02
Average standard deviation of split frequencies: 0.013213
721000 -- [-2025.243] (-2035.370) (-2025.953) (-2026.897) * [-2025.586] (-2036.357) (-2031.092) (-2027.400) -- 0:01:01
722000 -- (-2022.263) (-2031.152) (-2029.255) [-2017.031] * (-2031.298) (-2028.275) [-2027.013] (-2022.896) -- 0:01:01
723000 -- (-2026.348) (-2029.637) (-2029.964) [-2033.050] * (-2026.973) [-2013.512] (-2028.872) (-2020.717) -- 0:01:01
724000 -- (-2027.071) (-2023.848) (-2024.811) [-2024.540] * (-2038.112) [-2033.160] (-2029.507) (-2030.040) -- 0:01:01
725000 -- (-2024.715) (-2017.399) [-2023.475] (-2025.501) * (-2032.606) (-2027.890) [-2023.970] (-2020.134) -- 0:01:01
Average standard deviation of split frequencies: 0.012597
726000 -- (-2030.555) (-2025.582) (-2034.539) [-2035.413] * (-2026.285) [-2027.101] (-2023.815) (-2029.067) -- 0:01:00
727000 -- [-2036.601] (-2033.172) (-2035.871) (-2025.759) * (-2034.065) (-2024.031) (-2029.699) [-2030.475] -- 0:01:00
728000 -- (-2023.841) (-2029.366) [-2027.282] (-2026.007) * (-2023.949) [-2029.151] (-2023.124) (-2033.380) -- 0:01:00
729000 -- (-2023.922) (-2034.757) (-2021.012) [-2021.716] * (-2028.760) (-2028.157) (-2017.229) [-2027.451] -- 0:01:00
730000 -- (-2029.653) (-2021.885) [-2025.831] (-2036.083) * [-2031.593] (-2027.172) (-2022.795) (-2034.182) -- 0:00:59
Average standard deviation of split frequencies: 0.013065
731000 -- (-2034.782) (-2033.558) [-2023.417] (-2041.848) * (-2047.360) (-2031.404) (-2028.041) [-2032.538] -- 0:00:59
732000 -- (-2026.215) (-2028.489) (-2021.835) [-2041.431] * (-2030.832) [-2027.518] (-2027.024) (-2032.145) -- 0:00:59
733000 -- [-2025.207] (-2027.320) (-2023.021) (-2031.020) * (-2043.620) [-2026.323] (-2022.900) (-2033.062) -- 0:00:59
734000 -- [-2021.397] (-2026.678) (-2024.893) (-2026.142) * (-2033.929) [-2024.632] (-2028.591) (-2038.792) -- 0:00:59
735000 -- (-2026.097) (-2024.840) [-2024.756] (-2030.262) * [-2031.031] (-2037.952) (-2032.863) (-2028.983) -- 0:00:58
Average standard deviation of split frequencies: 0.012298
736000 -- (-2019.977) (-2033.628) [-2033.050] (-2027.712) * (-2026.480) (-2025.132) [-2026.008] (-2019.017) -- 0:00:58
737000 -- [-2027.339] (-2019.872) (-2015.738) (-2030.079) * (-2034.981) (-2030.016) [-2019.097] (-2028.613) -- 0:00:58
738000 -- [-2030.208] (-2018.352) (-2032.027) (-2024.722) * [-2025.123] (-2022.299) (-2031.717) (-2024.841) -- 0:00:58
739000 -- (-2019.521) (-2027.435) (-2024.294) [-2020.680] * (-2029.716) (-2043.066) [-2028.934] (-2025.942) -- 0:00:57
740000 -- (-2019.039) [-2022.937] (-2032.852) (-2027.863) * [-2029.018] (-2027.243) (-2045.392) (-2030.040) -- 0:00:57
Average standard deviation of split frequencies: 0.012538
741000 -- (-2033.397) (-2017.621) (-2029.990) [-2024.057] * (-2025.415) [-2030.939] (-2032.026) (-2034.355) -- 0:00:57
742000 -- (-2027.301) (-2044.458) (-2027.702) [-2032.570] * (-2037.323) (-2021.943) (-2029.374) [-2028.834] -- 0:00:57
743000 -- [-2027.346] (-2024.122) (-2024.641) (-2021.148) * (-2030.246) [-2027.661] (-2030.294) (-2036.860) -- 0:00:57
744000 -- [-2027.208] (-2022.832) (-2038.889) (-2020.450) * (-2031.226) (-2017.726) [-2022.066] (-2020.320) -- 0:00:56
745000 -- [-2024.356] (-2021.706) (-2022.350) (-2021.772) * (-2033.571) (-2026.071) [-2027.122] (-2031.410) -- 0:00:56
Average standard deviation of split frequencies: 0.012765
746000 -- (-2030.939) [-2026.403] (-2025.447) (-2024.192) * (-2026.413) (-2024.221) [-2026.366] (-2029.670) -- 0:00:56
747000 -- (-2024.740) [-2013.352] (-2029.520) (-2021.442) * (-2025.196) (-2029.331) (-2017.631) [-2025.606] -- 0:00:56
748000 -- [-2025.615] (-2028.119) (-2027.546) (-2025.105) * (-2016.694) (-2037.572) (-2021.981) [-2029.669] -- 0:00:55
749000 -- (-2026.537) (-2025.739) [-2029.187] (-2018.495) * (-2025.182) (-2032.846) [-2028.774] (-2022.945) -- 0:00:55
750000 -- [-2025.011] (-2033.917) (-2026.071) (-2029.779) * (-2024.140) (-2034.232) [-2027.973] (-2031.134) -- 0:00:55
Average standard deviation of split frequencies: 0.013156
751000 -- (-2017.375) [-2021.439] (-2023.429) (-2029.092) * (-2027.746) [-2022.890] (-2031.421) (-2026.169) -- 0:00:55
752000 -- (-2029.826) [-2025.302] (-2023.971) (-2035.294) * (-2032.708) (-2027.852) [-2014.925] (-2028.272) -- 0:00:55
753000 -- (-2032.484) (-2037.714) (-2028.348) [-2017.206] * (-2030.783) [-2023.674] (-2028.461) (-2040.363) -- 0:00:54
754000 -- (-2032.652) [-2028.582] (-2031.258) (-2021.035) * (-2031.353) (-2027.578) [-2020.260] (-2028.961) -- 0:00:54
755000 -- (-2024.525) [-2023.434] (-2020.936) (-2026.025) * [-2021.741] (-2041.670) (-2027.135) (-2033.411) -- 0:00:54
Average standard deviation of split frequencies: 0.012845
756000 -- [-2027.494] (-2028.853) (-2021.792) (-2035.564) * [-2022.960] (-2030.854) (-2030.140) (-2027.523) -- 0:00:54
757000 -- (-2032.199) (-2027.329) (-2033.119) [-2020.070] * (-2022.740) (-2024.800) (-2035.007) [-2025.316] -- 0:00:53
758000 -- (-2021.707) (-2029.565) (-2029.069) [-2019.789] * (-2034.829) (-2035.861) [-2021.096] (-2024.120) -- 0:00:53
759000 -- (-2024.970) (-2023.217) [-2024.865] (-2036.667) * (-2018.560) [-2028.749] (-2026.323) (-2025.951) -- 0:00:53
760000 -- (-2032.895) (-2023.463) [-2021.770] (-2025.340) * (-2018.085) (-2031.632) (-2015.480) [-2026.588] -- 0:00:53
Average standard deviation of split frequencies: 0.013014
761000 -- (-2036.915) (-2020.088) [-2019.869] (-2028.672) * (-2034.949) (-2027.505) (-2031.493) [-2018.759] -- 0:00:53
762000 -- (-2039.108) (-2029.452) [-2015.437] (-2020.069) * (-2030.300) (-2023.837) [-2027.927] (-2029.099) -- 0:00:52
763000 -- [-2030.000] (-2020.364) (-2016.310) (-2034.739) * (-2022.816) (-2034.720) [-2026.253] (-2025.479) -- 0:00:52
764000 -- (-2019.986) [-2031.149] (-2029.480) (-2026.224) * (-2030.742) (-2022.560) [-2031.409] (-2033.920) -- 0:00:52
765000 -- [-2031.049] (-2026.094) (-2025.656) (-2034.280) * (-2023.529) (-2031.619) [-2029.911] (-2033.260) -- 0:00:52
Average standard deviation of split frequencies: 0.012554
766000 -- [-2028.266] (-2031.536) (-2022.958) (-2034.776) * (-2019.198) (-2024.402) [-2021.539] (-2030.700) -- 0:00:51
767000 -- [-2032.146] (-2024.934) (-2032.340) (-2030.027) * (-2025.137) (-2034.282) [-2029.242] (-2023.608) -- 0:00:51
768000 -- (-2028.773) [-2023.786] (-2026.398) (-2024.026) * (-2026.518) (-2027.435) [-2034.165] (-2028.401) -- 0:00:51
769000 -- [-2019.896] (-2024.910) (-2024.703) (-2025.064) * (-2041.395) (-2028.709) [-2028.770] (-2020.845) -- 0:00:51
770000 -- (-2021.198) (-2031.003) [-2028.608] (-2030.158) * (-2046.027) [-2023.992] (-2032.492) (-2021.879) -- 0:00:51
Average standard deviation of split frequencies: 0.012478
771000 -- (-2024.166) (-2035.142) [-2020.613] (-2025.283) * (-2020.309) (-2039.393) (-2026.530) [-2027.643] -- 0:00:50
772000 -- (-2026.326) (-2027.052) [-2014.103] (-2030.183) * (-2033.049) (-2019.445) [-2021.223] (-2024.695) -- 0:00:50
773000 -- (-2037.237) (-2019.833) (-2022.476) [-2027.265] * (-2030.200) [-2018.176] (-2032.880) (-2023.633) -- 0:00:50
774000 -- (-2033.597) [-2013.315] (-2024.459) (-2026.358) * [-2030.968] (-2027.274) (-2025.692) (-2025.924) -- 0:00:50
775000 -- (-2032.737) [-2019.124] (-2033.450) (-2039.781) * (-2026.384) [-2018.697] (-2023.406) (-2030.606) -- 0:00:49
Average standard deviation of split frequencies: 0.012180
776000 -- (-2037.757) (-2023.913) (-2034.442) [-2025.969] * (-2027.506) (-2024.602) (-2027.114) [-2023.226] -- 0:00:49
777000 -- (-2032.248) (-2021.449) [-2019.967] (-2025.726) * (-2030.363) (-2024.502) [-2030.704] (-2026.567) -- 0:00:49
778000 -- (-2032.059) (-2031.349) [-2028.423] (-2021.965) * [-2026.668] (-2023.591) (-2037.739) (-2034.001) -- 0:00:49
779000 -- [-2029.686] (-2030.629) (-2031.632) (-2026.269) * (-2023.209) (-2027.410) (-2033.966) [-2021.285] -- 0:00:49
780000 -- (-2030.587) (-2031.968) (-2028.462) [-2020.871] * (-2028.379) [-2025.266] (-2030.670) (-2021.129) -- 0:00:48
Average standard deviation of split frequencies: 0.012047
781000 -- (-2030.890) (-2033.850) (-2030.837) [-2022.475] * (-2023.298) (-2028.158) (-2026.522) [-2020.111] -- 0:00:48
782000 -- (-2028.427) (-2033.264) (-2034.970) [-2023.368] * [-2026.814] (-2045.335) (-2036.117) (-2019.224) -- 0:00:48
783000 -- (-2030.092) [-2019.246] (-2030.706) (-2035.653) * [-2024.902] (-2032.931) (-2020.730) (-2019.862) -- 0:00:48
784000 -- [-2031.270] (-2020.098) (-2024.433) (-2022.266) * [-2024.531] (-2031.644) (-2025.352) (-2025.496) -- 0:00:47
785000 -- (-2030.075) [-2024.730] (-2029.470) (-2024.880) * [-2017.679] (-2029.714) (-2024.152) (-2029.890) -- 0:00:47
Average standard deviation of split frequencies: 0.012175
786000 -- (-2037.999) [-2019.883] (-2024.134) (-2030.340) * (-2023.899) (-2026.690) (-2027.823) [-2023.108] -- 0:00:47
787000 -- [-2024.026] (-2031.637) (-2024.836) (-2029.779) * (-2024.562) [-2032.071] (-2018.357) (-2026.834) -- 0:00:47
788000 -- (-2019.970) (-2025.177) (-2026.040) [-2032.100] * (-2030.240) (-2023.158) (-2026.732) [-2027.284] -- 0:00:47
789000 -- (-2026.776) (-2046.292) (-2027.991) [-2038.391] * [-2028.369] (-2018.300) (-2022.410) (-2024.412) -- 0:00:46
790000 -- [-2025.186] (-2033.693) (-2036.388) (-2025.212) * (-2021.949) [-2019.727] (-2020.679) (-2037.483) -- 0:00:46
Average standard deviation of split frequencies: 0.012401
791000 -- (-2024.664) (-2032.120) (-2020.879) [-2020.766] * (-2023.149) [-2025.333] (-2023.414) (-2025.057) -- 0:00:46
792000 -- (-2022.688) [-2030.734] (-2022.360) (-2029.948) * [-2025.244] (-2029.113) (-2040.669) (-2031.809) -- 0:00:46
793000 -- [-2036.590] (-2021.432) (-2022.360) (-2036.598) * (-2035.485) (-2020.747) [-2019.682] (-2026.102) -- 0:00:45
794000 -- (-2023.618) (-2026.443) [-2029.032] (-2038.554) * (-2021.772) (-2026.493) (-2023.708) [-2030.206] -- 0:00:45
795000 -- (-2022.285) (-2018.431) (-2026.998) [-2019.111] * [-2026.113] (-2020.135) (-2037.776) (-2025.407) -- 0:00:45
Average standard deviation of split frequencies: 0.011933
796000 -- (-2035.948) [-2026.729] (-2025.152) (-2024.106) * (-2037.807) (-2025.547) (-2039.072) [-2032.157] -- 0:00:45
797000 -- (-2032.201) [-2018.117] (-2030.637) (-2013.387) * [-2025.491] (-2030.178) (-2034.072) (-2023.347) -- 0:00:45
798000 -- [-2020.604] (-2024.803) (-2027.973) (-2026.135) * (-2024.943) [-2026.119] (-2032.683) (-2029.048) -- 0:00:44
799000 -- [-2025.618] (-2036.332) (-2026.790) (-2027.418) * (-2035.366) [-2027.107] (-2043.717) (-2026.035) -- 0:00:44
800000 -- (-2027.366) [-2024.277] (-2033.319) (-2015.314) * (-2027.129) (-2024.053) (-2023.172) [-2016.514] -- 0:00:44
Average standard deviation of split frequencies: 0.012364
801000 -- [-2024.675] (-2019.552) (-2027.886) (-2021.476) * (-2040.138) [-2023.696] (-2032.302) (-2019.812) -- 0:00:44
802000 -- (-2028.691) (-2030.436) (-2035.618) [-2018.495] * (-2029.760) (-2020.169) (-2029.372) [-2018.027] -- 0:00:43
803000 -- (-2024.971) (-2024.223) [-2025.974] (-2029.649) * (-2031.174) (-2028.697) (-2015.940) [-2015.346] -- 0:00:43
804000 -- (-2026.482) [-2028.979] (-2033.726) (-2019.716) * (-2030.441) (-2025.995) (-2026.270) [-2026.262] -- 0:00:43
805000 -- (-2022.879) (-2030.271) (-2033.444) [-2020.764] * (-2026.948) (-2039.685) (-2022.826) [-2028.911] -- 0:00:43
Average standard deviation of split frequencies: 0.012545
806000 -- (-2025.847) [-2023.841] (-2026.432) (-2031.309) * [-2019.914] (-2022.782) (-2023.017) (-2023.635) -- 0:00:43
807000 -- (-2030.195) (-2029.240) (-2026.440) [-2025.722] * (-2029.391) [-2021.811] (-2022.641) (-2031.654) -- 0:00:42
808000 -- (-2024.052) (-2019.912) (-2032.805) [-2020.329] * (-2029.003) [-2027.235] (-2026.474) (-2029.994) -- 0:00:42
809000 -- (-2020.710) [-2028.671] (-2032.433) (-2031.670) * (-2024.400) (-2034.640) [-2020.075] (-2029.243) -- 0:00:42
810000 -- (-2024.784) (-2022.396) [-2027.851] (-2031.657) * (-2028.260) [-2020.247] (-2031.048) (-2020.051) -- 0:00:42
Average standard deviation of split frequencies: 0.012502
811000 -- (-2029.558) (-2024.566) [-2025.768] (-2034.962) * (-2024.562) (-2028.390) [-2029.272] (-2024.047) -- 0:00:41
812000 -- [-2021.473] (-2027.520) (-2023.202) (-2027.744) * (-2027.633) [-2024.212] (-2026.197) (-2029.881) -- 0:00:41
813000 -- [-2024.454] (-2027.678) (-2021.554) (-2024.014) * (-2017.412) (-2027.545) (-2030.486) [-2027.895] -- 0:00:41
814000 -- (-2023.476) (-2032.653) [-2020.674] (-2036.408) * (-2027.328) (-2041.248) (-2025.082) [-2032.600] -- 0:00:41
815000 -- (-2025.749) (-2022.783) (-2025.743) [-2016.970] * [-2027.517] (-2030.029) (-2022.833) (-2028.095) -- 0:00:41
Average standard deviation of split frequencies: 0.012681
816000 -- (-2026.624) (-2028.502) [-2027.888] (-2018.810) * (-2024.110) [-2026.123] (-2023.750) (-2037.896) -- 0:00:40
817000 -- [-2023.860] (-2022.073) (-2025.097) (-2026.240) * [-2031.186] (-2032.483) (-2028.387) (-2026.344) -- 0:00:40
818000 -- (-2032.556) [-2028.828] (-2031.889) (-2030.030) * (-2037.442) (-2029.965) [-2029.144] (-2037.059) -- 0:00:40
819000 -- (-2023.806) (-2022.813) (-2024.097) [-2026.852] * (-2032.201) (-2023.938) [-2023.226] (-2023.313) -- 0:00:40
820000 -- [-2023.032] (-2024.356) (-2020.733) (-2031.327) * (-2024.854) [-2026.026] (-2030.945) (-2034.141) -- 0:00:39
Average standard deviation of split frequencies: 0.012206
821000 -- (-2029.860) (-2028.005) (-2025.592) [-2023.471] * (-2027.104) (-2028.833) [-2030.972] (-2035.635) -- 0:00:39
822000 -- (-2032.183) (-2021.861) (-2031.195) [-2028.508] * [-2018.677] (-2022.509) (-2026.761) (-2027.553) -- 0:00:39
823000 -- (-2032.274) (-2026.280) (-2030.969) [-2020.046] * (-2018.433) [-2027.377] (-2022.385) (-2033.249) -- 0:00:39
824000 -- (-2032.805) (-2027.976) [-2033.615] (-2029.106) * (-2049.286) [-2016.414] (-2024.245) (-2022.478) -- 0:00:39
825000 -- [-2022.509] (-2023.736) (-2023.077) (-2021.499) * (-2023.127) (-2031.717) [-2031.313] (-2028.286) -- 0:00:38
Average standard deviation of split frequencies: 0.011585
826000 -- [-2026.452] (-2026.686) (-2034.856) (-2031.175) * (-2031.327) [-2026.544] (-2028.465) (-2023.812) -- 0:00:38
827000 -- [-2020.633] (-2027.775) (-2037.782) (-2029.340) * (-2026.799) (-2038.882) (-2034.393) [-2024.940] -- 0:00:38
828000 -- (-2037.235) (-2023.164) (-2027.352) [-2025.601] * (-2032.738) [-2017.959] (-2029.367) (-2023.930) -- 0:00:38
829000 -- (-2041.668) [-2019.587] (-2039.665) (-2019.979) * (-2030.018) [-2023.412] (-2024.789) (-2027.783) -- 0:00:37
830000 -- (-2031.363) (-2032.291) [-2021.706] (-2022.528) * [-2023.473] (-2029.124) (-2022.817) (-2028.317) -- 0:00:37
Average standard deviation of split frequencies: 0.010811
831000 -- (-2029.441) (-2037.233) (-2022.202) [-2019.071] * (-2034.105) [-2026.660] (-2025.281) (-2026.067) -- 0:00:37
832000 -- (-2022.826) [-2025.041] (-2035.195) (-2029.193) * (-2026.827) (-2026.090) [-2018.559] (-2027.036) -- 0:00:37
833000 -- (-2031.624) (-2037.105) (-2029.440) [-2030.081] * (-2031.385) (-2030.698) (-2021.534) [-2026.100] -- 0:00:37
834000 -- [-2033.855] (-2035.103) (-2027.696) (-2023.698) * [-2028.310] (-2024.425) (-2018.819) (-2027.004) -- 0:00:36
835000 -- [-2026.682] (-2028.136) (-2031.714) (-2030.363) * (-2034.917) (-2033.484) (-2017.755) [-2030.228] -- 0:00:36
Average standard deviation of split frequencies: 0.010827
836000 -- (-2029.011) (-2022.199) (-2030.447) [-2025.707] * [-2033.096] (-2039.504) (-2034.008) (-2027.801) -- 0:00:36
837000 -- (-2025.174) [-2021.203] (-2027.570) (-2028.416) * [-2027.200] (-2033.637) (-2022.354) (-2020.746) -- 0:00:36
838000 -- (-2035.427) [-2030.003] (-2037.967) (-2020.347) * (-2032.894) (-2035.382) (-2025.574) [-2021.882] -- 0:00:35
839000 -- [-2024.672] (-2020.903) (-2019.274) (-2017.635) * (-2025.061) (-2019.923) (-2023.519) [-2022.521] -- 0:00:35
840000 -- (-2027.082) [-2028.238] (-2024.874) (-2035.562) * [-2029.717] (-2035.750) (-2033.432) (-2021.466) -- 0:00:35
Average standard deviation of split frequencies: 0.011439
841000 -- (-2024.204) (-2022.537) [-2031.105] (-2025.906) * [-2027.712] (-2032.837) (-2026.562) (-2032.711) -- 0:00:35
842000 -- (-2029.872) (-2028.287) [-2028.053] (-2035.011) * (-2026.351) [-2032.095] (-2022.488) (-2016.344) -- 0:00:35
843000 -- (-2020.427) (-2027.761) [-2028.166] (-2026.069) * (-2020.732) (-2026.060) [-2027.373] (-2023.953) -- 0:00:34
844000 -- (-2036.876) (-2029.064) [-2020.551] (-2024.558) * (-2017.868) [-2026.481] (-2024.784) (-2018.613) -- 0:00:34
845000 -- (-2030.406) (-2029.841) [-2019.264] (-2025.122) * [-2020.167] (-2023.096) (-2029.979) (-2035.276) -- 0:00:34
Average standard deviation of split frequencies: 0.011618
846000 -- (-2024.514) (-2022.038) (-2016.432) [-2030.638] * [-2024.529] (-2023.156) (-2023.897) (-2022.515) -- 0:00:34
847000 -- (-2022.069) (-2030.996) (-2025.926) [-2018.229] * (-2020.580) (-2029.202) (-2033.073) [-2023.744] -- 0:00:33
848000 -- (-2029.152) [-2025.522] (-2037.548) (-2024.906) * [-2017.773] (-2027.506) (-2026.045) (-2028.590) -- 0:00:33
849000 -- (-2027.848) (-2027.600) (-2033.079) [-2025.792] * (-2029.269) (-2021.653) (-2014.505) [-2025.768] -- 0:00:33
850000 -- (-2028.188) (-2044.515) [-2024.168] (-2032.772) * (-2026.206) (-2018.386) [-2027.379] (-2021.842) -- 0:00:33
Average standard deviation of split frequencies: 0.011914
851000 -- (-2038.724) [-2027.240] (-2024.525) (-2022.824) * (-2030.446) [-2030.207] (-2031.010) (-2024.263) -- 0:00:33
852000 -- [-2015.020] (-2026.638) (-2020.959) (-2019.680) * (-2026.069) (-2045.099) (-2039.397) [-2036.198] -- 0:00:32
853000 -- (-2027.055) (-2027.348) [-2020.062] (-2030.699) * (-2035.731) [-2028.871] (-2035.492) (-2030.373) -- 0:00:32
854000 -- (-2020.074) (-2037.531) (-2028.008) [-2020.913] * (-2026.115) (-2032.879) (-2026.233) [-2027.836] -- 0:00:32
855000 -- [-2022.556] (-2020.756) (-2031.635) (-2036.997) * (-2039.018) (-2032.480) (-2028.891) [-2027.725] -- 0:00:32
Average standard deviation of split frequencies: 0.011703
856000 -- (-2034.870) (-2035.162) [-2027.769] (-2025.981) * (-2034.067) (-2036.717) [-2021.413] (-2025.453) -- 0:00:31
857000 -- (-2019.780) (-2027.777) [-2032.270] (-2028.988) * (-2032.894) [-2024.385] (-2016.515) (-2022.490) -- 0:00:31
858000 -- [-2025.283] (-2024.334) (-2022.434) (-2029.207) * (-2024.333) (-2032.178) [-2021.212] (-2025.912) -- 0:00:31
859000 -- (-2024.317) (-2031.486) [-2028.356] (-2036.212) * [-2030.609] (-2029.030) (-2018.977) (-2023.907) -- 0:00:31
860000 -- (-2038.988) (-2023.089) (-2027.870) [-2019.622] * (-2026.756) [-2026.176] (-2027.254) (-2033.194) -- 0:00:31
Average standard deviation of split frequencies: 0.011831
861000 -- (-2027.347) (-2021.402) (-2037.130) [-2022.309] * [-2023.913] (-2027.348) (-2023.784) (-2021.140) -- 0:00:30
862000 -- (-2029.810) [-2021.632] (-2025.059) (-2030.658) * [-2024.640] (-2032.520) (-2027.692) (-2037.051) -- 0:00:30
863000 -- (-2021.176) [-2023.904] (-2030.067) (-2037.973) * (-2021.912) [-2022.420] (-2028.369) (-2029.734) -- 0:00:30
864000 -- (-2033.336) (-2028.941) (-2026.357) [-2021.576] * [-2021.352] (-2024.591) (-2025.783) (-2033.212) -- 0:00:30
865000 -- (-2030.294) (-2028.369) [-2034.292] (-2023.825) * (-2028.262) [-2026.483] (-2024.001) (-2029.932) -- 0:00:29
Average standard deviation of split frequencies: 0.011513
866000 -- (-2026.215) (-2031.078) (-2030.525) [-2034.428] * [-2026.852] (-2034.006) (-2033.165) (-2026.644) -- 0:00:29
867000 -- (-2028.523) (-2023.874) (-2017.803) [-2023.793] * (-2025.775) [-2024.558] (-2027.131) (-2032.696) -- 0:00:29
868000 -- [-2020.400] (-2032.324) (-2030.147) (-2014.774) * (-2025.742) [-2028.931] (-2036.483) (-2033.046) -- 0:00:29
869000 -- (-2028.405) [-2021.191] (-2026.124) (-2018.229) * (-2021.787) [-2021.168] (-2023.566) (-2028.622) -- 0:00:29
870000 -- [-2027.683] (-2022.356) (-2037.606) (-2027.856) * [-2032.787] (-2033.204) (-2027.708) (-2027.379) -- 0:00:28
Average standard deviation of split frequencies: 0.011560
871000 -- [-2022.035] (-2029.512) (-2031.885) (-2045.958) * (-2025.127) (-2024.853) [-2025.952] (-2031.541) -- 0:00:28
872000 -- (-2022.216) (-2027.545) [-2039.306] (-2028.851) * [-2021.378] (-2026.664) (-2031.747) (-2028.924) -- 0:00:28
873000 -- (-2029.175) (-2032.450) (-2035.740) [-2031.701] * (-2025.937) [-2029.037] (-2033.565) (-2026.355) -- 0:00:28
874000 -- (-2038.403) (-2029.604) (-2035.795) [-2022.333] * (-2027.338) (-2030.583) [-2022.347] (-2039.039) -- 0:00:27
875000 -- (-2029.808) (-2032.008) [-2022.701] (-2024.257) * (-2030.129) (-2025.295) [-2032.389] (-2022.216) -- 0:00:27
Average standard deviation of split frequencies: 0.011435
876000 -- (-2030.884) (-2026.160) (-2025.602) [-2020.912] * (-2025.079) (-2021.759) (-2019.797) [-2021.140] -- 0:00:27
877000 -- [-2034.944] (-2034.293) (-2029.296) (-2019.498) * [-2015.844] (-2022.800) (-2021.554) (-2040.214) -- 0:00:27
878000 -- [-2028.277] (-2021.873) (-2031.528) (-2021.282) * (-2019.014) (-2029.061) [-2026.058] (-2028.212) -- 0:00:27
879000 -- (-2027.118) (-2029.154) (-2026.682) [-2037.487] * [-2026.020] (-2027.884) (-2026.651) (-2029.357) -- 0:00:26
880000 -- [-2026.035] (-2019.305) (-2033.533) (-2024.506) * (-2025.090) (-2024.785) (-2020.770) [-2031.822] -- 0:00:26
Average standard deviation of split frequencies: 0.011696
881000 -- (-2033.606) (-2022.813) (-2028.514) [-2017.226] * [-2030.274] (-2026.747) (-2031.198) (-2032.805) -- 0:00:26
882000 -- (-2028.713) [-2017.759] (-2029.797) (-2027.104) * (-2018.928) (-2018.547) [-2026.553] (-2030.856) -- 0:00:26
883000 -- (-2042.189) (-2016.292) (-2023.270) [-2022.526] * (-2022.479) (-2031.681) (-2032.917) [-2018.387] -- 0:00:25
884000 -- (-2033.288) (-2032.690) [-2033.234] (-2027.606) * (-2024.448) [-2027.444] (-2024.063) (-2023.806) -- 0:00:25
885000 -- (-2033.627) (-2027.000) (-2030.333) [-2027.700] * (-2038.911) (-2031.563) [-2029.434] (-2025.848) -- 0:00:25
Average standard deviation of split frequencies: 0.011226
886000 -- (-2038.636) [-2024.328] (-2026.514) (-2024.289) * (-2037.453) (-2032.220) [-2015.652] (-2029.637) -- 0:00:25
887000 -- (-2026.466) (-2026.723) (-2020.942) [-2027.872] * (-2031.272) (-2031.731) [-2026.529] (-2028.471) -- 0:00:25
888000 -- [-2022.010] (-2028.114) (-2032.482) (-2025.645) * (-2028.138) (-2036.677) [-2023.530] (-2035.525) -- 0:00:24
889000 -- [-2024.767] (-2016.957) (-2025.685) (-2036.411) * (-2031.531) [-2022.494] (-2039.702) (-2027.992) -- 0:00:24
890000 -- [-2027.625] (-2017.718) (-2033.518) (-2026.877) * (-2020.718) (-2024.519) [-2024.719] (-2030.290) -- 0:00:24
Average standard deviation of split frequencies: 0.011194
891000 -- (-2027.793) [-2024.346] (-2020.868) (-2022.200) * (-2042.583) [-2022.785] (-2032.649) (-2021.020) -- 0:00:24
892000 -- (-2019.585) [-2027.993] (-2031.329) (-2026.389) * (-2028.235) (-2029.769) (-2025.903) [-2032.609] -- 0:00:23
893000 -- (-2029.151) [-2033.591] (-2028.854) (-2033.794) * [-2017.226] (-2026.539) (-2027.789) (-2029.223) -- 0:00:23
894000 -- (-2025.990) (-2017.700) (-2028.352) [-2015.226] * (-2026.160) (-2035.295) [-2025.727] (-2027.662) -- 0:00:23
895000 -- (-2031.858) (-2029.166) [-2028.661] (-2033.739) * (-2022.553) (-2030.579) [-2026.278] (-2028.915) -- 0:00:23
Average standard deviation of split frequencies: 0.010996
896000 -- (-2035.358) (-2027.724) [-2023.325] (-2023.453) * (-2027.660) (-2027.448) (-2023.920) [-2025.218] -- 0:00:23
897000 -- (-2025.205) [-2024.974] (-2024.524) (-2022.307) * (-2030.086) (-2030.486) [-2029.351] (-2018.893) -- 0:00:22
898000 -- [-2018.578] (-2021.351) (-2037.257) (-2032.756) * (-2025.850) (-2033.050) (-2032.278) [-2021.494] -- 0:00:22
899000 -- (-2022.969) [-2029.674] (-2031.742) (-2031.811) * (-2029.114) (-2042.373) [-2026.028] (-2030.319) -- 0:00:22
900000 -- (-2018.515) [-2024.658] (-2021.661) (-2032.189) * (-2029.026) (-2024.124) (-2023.884) [-2025.914] -- 0:00:22
Average standard deviation of split frequencies: 0.011096
901000 -- (-2035.652) (-2017.488) [-2018.563] (-2029.113) * (-2029.990) (-2032.163) (-2034.279) [-2017.205] -- 0:00:21
902000 -- (-2030.562) (-2037.792) (-2026.700) [-2027.279] * (-2022.015) (-2024.974) (-2032.743) [-2025.955] -- 0:00:21
903000 -- (-2022.548) (-2029.908) (-2024.538) [-2022.550] * [-2022.682] (-2033.041) (-2033.840) (-2020.596) -- 0:00:21
904000 -- [-2018.959] (-2040.276) (-2037.968) (-2030.076) * (-2028.058) (-2026.164) (-2026.272) [-2020.025] -- 0:00:21
905000 -- [-2020.457] (-2044.438) (-2027.874) (-2024.667) * (-2028.966) (-2030.623) [-2021.766] (-2029.433) -- 0:00:21
Average standard deviation of split frequencies: 0.011005
906000 -- (-2025.678) [-2031.780] (-2033.829) (-2022.328) * (-2021.559) (-2025.454) (-2022.363) [-2026.754] -- 0:00:20
907000 -- (-2027.422) [-2028.912] (-2034.169) (-2031.745) * (-2029.701) [-2021.979] (-2031.835) (-2028.366) -- 0:00:20
908000 -- [-2030.227] (-2025.903) (-2036.307) (-2024.945) * (-2032.180) (-2029.036) (-2028.280) [-2023.028] -- 0:00:20
909000 -- [-2025.650] (-2026.170) (-2039.605) (-2020.857) * (-2022.218) (-2031.298) (-2027.432) [-2024.048] -- 0:00:20
910000 -- (-2023.767) (-2030.581) [-2025.733] (-2027.679) * (-2031.445) [-2022.722] (-2036.233) (-2026.174) -- 0:00:19
Average standard deviation of split frequencies: 0.011311
911000 -- (-2032.230) (-2017.689) (-2031.526) [-2023.258] * [-2018.809] (-2032.806) (-2026.432) (-2030.143) -- 0:00:19
912000 -- (-2029.941) (-2025.978) [-2031.020] (-2036.219) * [-2021.632] (-2023.955) (-2036.183) (-2026.600) -- 0:00:19
913000 -- [-2028.035] (-2029.839) (-2026.501) (-2033.149) * [-2024.637] (-2038.211) (-2030.262) (-2025.079) -- 0:00:19
914000 -- (-2024.539) [-2027.707] (-2031.151) (-2032.345) * (-2039.066) [-2026.943] (-2029.652) (-2025.778) -- 0:00:19
915000 -- (-2024.166) (-2038.974) (-2027.239) [-2024.837] * (-2033.313) [-2022.612] (-2028.594) (-2023.319) -- 0:00:18
Average standard deviation of split frequencies: 0.011373
916000 -- (-2033.265) (-2032.364) [-2029.802] (-2026.978) * [-2027.389] (-2036.844) (-2024.875) (-2027.885) -- 0:00:18
917000 -- (-2025.792) [-2036.837] (-2026.036) (-2032.765) * (-2021.423) [-2025.510] (-2023.447) (-2032.277) -- 0:00:18
918000 -- (-2036.739) (-2034.995) (-2020.742) [-2022.290] * (-2024.580) (-2025.365) [-2015.807] (-2028.213) -- 0:00:18
919000 -- [-2034.257] (-2021.319) (-2021.757) (-2029.590) * (-2035.682) (-2023.505) [-2029.947] (-2029.288) -- 0:00:17
920000 -- (-2036.929) [-2022.592] (-2031.175) (-2024.037) * [-2019.729] (-2022.926) (-2034.628) (-2028.426) -- 0:00:17
Average standard deviation of split frequencies: 0.011418
921000 -- (-2034.263) [-2028.965] (-2035.722) (-2028.343) * (-2027.488) [-2019.288] (-2026.490) (-2020.226) -- 0:00:17
922000 -- (-2031.421) (-2027.109) [-2027.532] (-2038.548) * (-2037.678) [-2031.093] (-2037.358) (-2026.081) -- 0:00:17
923000 -- (-2031.557) (-2029.668) [-2029.144] (-2040.715) * (-2038.818) (-2021.902) (-2030.516) [-2026.252] -- 0:00:17
924000 -- (-2020.464) (-2033.928) (-2025.221) [-2035.096] * (-2024.025) (-2018.386) [-2022.967] (-2030.595) -- 0:00:16
925000 -- (-2025.795) (-2033.314) [-2026.662] (-2033.788) * [-2019.827] (-2029.965) (-2022.392) (-2018.465) -- 0:00:16
Average standard deviation of split frequencies: 0.011021
926000 -- (-2053.292) (-2021.318) [-2016.495] (-2023.598) * [-2027.365] (-2031.089) (-2027.171) (-2020.182) -- 0:00:16
927000 -- (-2029.132) [-2030.805] (-2022.828) (-2031.000) * [-2015.207] (-2031.238) (-2027.972) (-2027.581) -- 0:00:16
928000 -- (-2026.139) (-2027.767) [-2023.849] (-2028.849) * (-2025.082) [-2019.313] (-2023.925) (-2025.569) -- 0:00:15
929000 -- (-2017.943) (-2033.013) [-2027.380] (-2030.093) * (-2037.081) [-2025.168] (-2029.683) (-2030.949) -- 0:00:15
930000 -- (-2026.530) [-2022.975] (-2028.408) (-2035.358) * (-2035.201) (-2028.838) (-2038.268) [-2025.549] -- 0:00:15
Average standard deviation of split frequencies: 0.011144
931000 -- (-2028.289) [-2028.407] (-2027.805) (-2032.514) * [-2025.055] (-2022.544) (-2034.105) (-2023.189) -- 0:00:15
932000 -- (-2020.990) (-2018.379) [-2030.863] (-2020.771) * (-2038.517) (-2027.135) (-2034.091) [-2034.344] -- 0:00:15
933000 -- (-2035.426) [-2018.442] (-2034.687) (-2027.281) * (-2023.944) (-2032.479) (-2035.818) [-2019.546] -- 0:00:14
934000 -- (-2026.345) (-2019.432) [-2027.796] (-2027.982) * (-2023.914) (-2031.655) (-2035.467) [-2014.450] -- 0:00:14
935000 -- [-2023.584] (-2030.152) (-2035.794) (-2036.921) * [-2027.108] (-2025.023) (-2024.720) (-2031.598) -- 0:00:14
Average standard deviation of split frequencies: 0.010979
936000 -- (-2029.271) (-2018.011) [-2025.605] (-2042.102) * (-2020.448) [-2028.927] (-2032.285) (-2023.384) -- 0:00:14
937000 -- (-2030.263) [-2018.944] (-2026.635) (-2032.381) * (-2037.355) [-2027.726] (-2021.594) (-2035.861) -- 0:00:13
938000 -- [-2025.112] (-2036.821) (-2041.031) (-2024.787) * (-2021.935) [-2025.061] (-2022.231) (-2023.777) -- 0:00:13
939000 -- (-2023.115) (-2033.473) (-2025.539) [-2031.918] * (-2023.994) [-2030.379] (-2021.524) (-2033.366) -- 0:00:13
940000 -- (-2027.747) [-2033.510] (-2023.790) (-2023.481) * [-2025.627] (-2038.616) (-2019.642) (-2019.010) -- 0:00:13
Average standard deviation of split frequencies: 0.011852
941000 -- (-2026.275) [-2028.430] (-2023.147) (-2021.246) * (-2034.434) [-2026.876] (-2030.350) (-2027.707) -- 0:00:13
942000 -- (-2034.651) (-2021.769) (-2023.453) [-2026.636] * (-2025.376) [-2022.622] (-2034.442) (-2026.007) -- 0:00:12
943000 -- (-2028.541) (-2025.906) (-2022.479) [-2026.409] * [-2030.001] (-2032.798) (-2031.220) (-2025.505) -- 0:00:12
944000 -- (-2018.391) [-2021.712] (-2020.523) (-2032.649) * [-2020.497] (-2022.016) (-2024.675) (-2019.807) -- 0:00:12
945000 -- (-2029.086) [-2018.863] (-2027.237) (-2030.547) * [-2024.771] (-2018.698) (-2026.955) (-2024.167) -- 0:00:12
Average standard deviation of split frequencies: 0.011860
946000 -- [-2029.069] (-2027.907) (-2026.080) (-2027.644) * [-2026.149] (-2024.152) (-2043.798) (-2035.319) -- 0:00:11
947000 -- [-2024.442] (-2022.268) (-2024.853) (-2018.080) * (-2023.317) (-2014.777) [-2020.497] (-2019.840) -- 0:00:11
948000 -- (-2032.182) (-2033.500) [-2024.712] (-2030.924) * [-2018.872] (-2027.292) (-2018.137) (-2032.251) -- 0:00:11
949000 -- (-2022.616) (-2029.034) [-2037.707] (-2038.636) * (-2033.690) [-2029.277] (-2026.982) (-2022.237) -- 0:00:11
950000 -- (-2027.097) (-2029.987) [-2030.486] (-2027.180) * (-2031.488) [-2024.410] (-2027.494) (-2028.552) -- 0:00:11
Average standard deviation of split frequencies: 0.012124
951000 -- (-2029.203) (-2033.532) [-2029.400] (-2021.891) * (-2026.644) (-2029.753) (-2026.526) [-2023.758] -- 0:00:10
952000 -- (-2024.920) (-2043.233) (-2025.737) [-2026.159] * [-2019.385] (-2017.315) (-2039.481) (-2035.838) -- 0:00:10
953000 -- (-2024.461) [-2031.374] (-2028.759) (-2023.009) * [-2022.337] (-2028.359) (-2030.232) (-2021.654) -- 0:00:10
954000 -- (-2029.127) (-2031.239) (-2023.577) [-2017.715] * (-2020.172) [-2029.119] (-2030.041) (-2026.007) -- 0:00:10
955000 -- (-2018.542) (-2030.093) [-2033.924] (-2025.371) * (-2023.690) (-2027.128) [-2021.421] (-2020.635) -- 0:00:09
Average standard deviation of split frequencies: 0.012278
956000 -- (-2019.289) (-2020.373) [-2028.762] (-2030.682) * (-2023.945) [-2020.841] (-2027.009) (-2024.219) -- 0:00:09
957000 -- [-2023.537] (-2035.025) (-2023.588) (-2027.290) * (-2020.001) (-2026.161) [-2022.935] (-2028.272) -- 0:00:09
958000 -- (-2028.332) (-2019.178) [-2025.932] (-2031.665) * (-2023.530) (-2027.421) (-2028.040) [-2026.333] -- 0:00:09
959000 -- [-2029.197] (-2035.160) (-2035.902) (-2023.203) * (-2034.903) (-2026.541) [-2021.365] (-2031.086) -- 0:00:09
960000 -- (-2024.229) (-2032.464) [-2024.045] (-2026.903) * (-2030.688) (-2023.139) (-2030.853) [-2017.981] -- 0:00:08
Average standard deviation of split frequencies: 0.012120
961000 -- (-2030.520) (-2033.840) (-2017.413) [-2025.872] * (-2034.630) (-2020.549) [-2030.116] (-2031.995) -- 0:00:08
962000 -- [-2023.504] (-2038.022) (-2022.631) (-2034.936) * [-2027.736] (-2028.183) (-2030.317) (-2025.556) -- 0:00:08
963000 -- [-2021.360] (-2030.424) (-2024.562) (-2029.069) * (-2037.895) [-2034.023] (-2027.975) (-2021.597) -- 0:00:08
964000 -- (-2024.002) [-2014.248] (-2029.435) (-2024.917) * (-2033.379) [-2021.475] (-2035.213) (-2025.979) -- 0:00:07
965000 -- (-2030.142) (-2023.397) [-2026.237] (-2028.242) * (-2025.680) (-2027.473) (-2023.430) [-2024.320] -- 0:00:07
Average standard deviation of split frequencies: 0.012517
966000 -- (-2020.083) (-2029.548) (-2030.668) [-2025.859] * [-2032.091] (-2032.735) (-2032.780) (-2020.124) -- 0:00:07
967000 -- (-2016.969) (-2016.091) (-2023.623) [-2019.702] * (-2026.329) (-2027.561) [-2021.591] (-2022.485) -- 0:00:07
968000 -- (-2025.775) [-2024.568] (-2027.763) (-2030.378) * (-2027.552) (-2030.253) [-2015.594] (-2031.824) -- 0:00:07
969000 -- [-2028.743] (-2029.838) (-2021.881) (-2019.113) * (-2034.041) (-2018.416) (-2026.879) [-2033.224] -- 0:00:06
970000 -- [-2018.162] (-2034.645) (-2028.819) (-2025.886) * (-2023.159) (-2035.542) (-2025.415) [-2020.817] -- 0:00:06
Average standard deviation of split frequencies: 0.012214
971000 -- (-2027.054) (-2024.866) [-2021.775] (-2024.105) * (-2041.800) (-2022.920) (-2025.541) [-2021.161] -- 0:00:06
972000 -- (-2024.443) (-2025.119) [-2029.873] (-2030.258) * (-2031.797) (-2033.265) [-2020.074] (-2036.615) -- 0:00:06
973000 -- (-2022.620) (-2028.429) (-2027.086) [-2029.266] * (-2025.967) (-2033.981) (-2026.316) [-2024.613] -- 0:00:05
974000 -- (-2037.617) [-2021.232] (-2027.775) (-2028.397) * [-2024.740] (-2027.946) (-2020.777) (-2034.782) -- 0:00:05
975000 -- (-2023.339) (-2028.041) [-2018.898] (-2024.451) * (-2024.874) [-2019.368] (-2030.108) (-2036.775) -- 0:00:05
Average standard deviation of split frequencies: 0.012365
976000 -- (-2031.514) (-2037.896) [-2020.232] (-2029.541) * (-2024.938) [-2031.223] (-2032.013) (-2023.860) -- 0:00:05
977000 -- (-2030.072) [-2028.161] (-2032.601) (-2032.778) * (-2024.098) (-2027.675) (-2028.680) [-2019.803] -- 0:00:05
978000 -- (-2024.264) [-2031.263] (-2026.438) (-2026.936) * (-2027.452) [-2026.131] (-2032.790) (-2025.124) -- 0:00:04
979000 -- (-2025.595) [-2023.592] (-2025.106) (-2018.730) * (-2026.219) (-2029.752) [-2024.007] (-2020.442) -- 0:00:04
980000 -- (-2020.439) (-2021.340) [-2022.776] (-2027.960) * [-2026.527] (-2027.692) (-2020.439) (-2025.793) -- 0:00:04
Average standard deviation of split frequencies: 0.012618
981000 -- (-2025.434) [-2022.166] (-2035.530) (-2013.672) * (-2036.807) [-2029.284] (-2027.748) (-2026.384) -- 0:00:04
982000 -- (-2027.105) (-2022.766) (-2023.015) [-2034.375] * [-2030.416] (-2028.858) (-2025.911) (-2021.187) -- 0:00:03
983000 -- (-2028.929) [-2024.929] (-2037.251) (-2023.201) * (-2023.844) (-2025.205) (-2022.667) [-2024.529] -- 0:00:03
984000 -- (-2028.378) [-2022.152] (-2034.971) (-2019.933) * (-2023.024) [-2025.197] (-2032.688) (-2017.899) -- 0:00:03
985000 -- (-2029.154) [-2022.703] (-2033.130) (-2018.449) * (-2024.307) (-2031.381) [-2024.826] (-2029.892) -- 0:00:03
Average standard deviation of split frequencies: 0.011952
986000 -- (-2031.716) (-2033.429) (-2030.162) [-2020.568] * [-2017.709] (-2016.632) (-2029.830) (-2027.237) -- 0:00:03
987000 -- (-2031.706) [-2025.899] (-2025.849) (-2029.604) * (-2024.511) [-2024.954] (-2037.719) (-2028.843) -- 0:00:02
988000 -- (-2020.325) (-2031.801) [-2024.919] (-2028.066) * [-2032.958] (-2022.309) (-2032.445) (-2017.153) -- 0:00:02
989000 -- (-2025.465) [-2027.887] (-2024.302) (-2020.168) * (-2031.149) [-2035.494] (-2028.162) (-2031.385) -- 0:00:02
990000 -- (-2024.637) (-2038.451) (-2028.540) [-2026.636] * (-2030.150) (-2025.162) [-2020.622] (-2028.344) -- 0:00:02
Average standard deviation of split frequencies: 0.011825
991000 -- (-2030.226) (-2025.369) [-2027.494] (-2023.298) * (-2030.733) (-2024.147) (-2022.101) [-2019.710] -- 0:00:01
992000 -- (-2026.386) [-2025.245] (-2030.079) (-2032.695) * (-2029.018) (-2030.429) [-2018.591] (-2026.672) -- 0:00:01
993000 -- (-2023.868) (-2021.085) [-2024.779] (-2027.371) * (-2020.079) [-2033.150] (-2030.266) (-2029.947) -- 0:00:01
994000 -- (-2033.216) (-2021.977) [-2023.343] (-2026.303) * (-2043.000) (-2023.290) [-2023.973] (-2024.579) -- 0:00:01
995000 -- (-2036.161) [-2022.099] (-2036.108) (-2033.795) * (-2037.272) (-2026.008) [-2032.659] (-2029.053) -- 0:00:01
Average standard deviation of split frequencies: 0.012211
996000 -- [-2023.534] (-2019.275) (-2038.812) (-2027.071) * [-2017.726] (-2028.770) (-2036.076) (-2030.938) -- 0:00:00
997000 -- (-2026.209) (-2027.972) (-2034.659) [-2021.590] * [-2019.358] (-2027.907) (-2020.042) (-2041.051) -- 0:00:00
998000 -- [-2023.137] (-2022.815) (-2024.080) (-2027.403) * (-2030.768) (-2028.116) [-2026.789] (-2025.262) -- 0:00:00
999000 -- (-2025.016) [-2021.199] (-2025.995) (-2028.305) * [-2030.136] (-2030.652) (-2032.254) (-2028.434) -- 0:00:00
1000000 -- [-2033.272] (-2031.745) (-2023.732) (-2027.640) * [-2018.991] (-2022.662) (-2039.842) (-2026.809) -- 0:00:00
Average standard deviation of split frequencies: 0.012178
Analysis completed in 3 mins 42 seconds
Analysis used 221.75 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -2007.97
Likelihood of best state for "cold" chain of run 2 was -2007.98
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
58.1 % ( 49 %) Dirichlet(Revmat{all})
77.0 % ( 70 %) Slider(Revmat{all})
24.1 % ( 25 %) Dirichlet(Pi{all})
27.1 % ( 21 %) Slider(Pi{all})
75.5 % ( 65 %) Multiplier(Alpha{1,2})
63.9 % ( 22 %) Multiplier(Alpha{3})
58.2 % ( 51 %) Slider(Pinvar{all})
48.7 % ( 47 %) ExtSPR(Tau{all},V{all})
28.6 % ( 26 %) ExtTBR(Tau{all},V{all})
51.5 % ( 52 %) NNI(Tau{all},V{all})
49.8 % ( 50 %) ParsSPR(Tau{all},V{all})
27.4 % ( 33 %) Multiplier(V{all})
66.8 % ( 68 %) Nodeslider(V{all})
26.3 % ( 17 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
56.1 % ( 54 %) Dirichlet(Revmat{all})
76.2 % ( 64 %) Slider(Revmat{all})
23.9 % ( 19 %) Dirichlet(Pi{all})
26.7 % ( 22 %) Slider(Pi{all})
76.5 % ( 56 %) Multiplier(Alpha{1,2})
63.7 % ( 26 %) Multiplier(Alpha{3})
58.1 % ( 31 %) Slider(Pinvar{all})
48.5 % ( 48 %) ExtSPR(Tau{all},V{all})
28.5 % ( 31 %) ExtTBR(Tau{all},V{all})
51.7 % ( 57 %) NNI(Tau{all},V{all})
49.5 % ( 53 %) ParsSPR(Tau{all},V{all})
27.4 % ( 26 %) Multiplier(V{all})
66.8 % ( 63 %) Nodeslider(V{all})
26.5 % ( 23 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.72 0.49 0.31
2 | 166801 0.73 0.52
3 | 167035 166488 0.75
4 | 166069 166733 166874
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.72 0.48 0.31
2 | 166755 0.73 0.51
3 | 166694 166658 0.75
4 | 166518 166509 166866
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)
+------------------------------------------------------------+ -2021.54
| 1 |
| 2 2 |
| 2 2 |
|2 1 2 2 2 1 1 |
| 1 2 11 1 12 1 1 2 |
| 2 2 1 2 12 22 2 * 2 1 1 |
| 2 2 2 1 12 2 2 1 1 2 2|
| 1 1 1 2 2 22 1 *1 2 22 |
|11 1 2 1 22 1 1 1 1 2 2 1 |
| 1 1 1 1 2 1 1 11 2 2 |
| 1 2 2 12 2 2 1* 1 1|
| 2 1 1 2 2 2 2 1 |
| 1 11 1 1 |
| 2 1 2 |
| 2 1 1 2 2 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -2027.52
^ ^
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 -2017.90 -2035.61
2 -2017.74 -2037.77
--------------------------------------
TOTAL -2017.81 -2037.19
--------------------------------------
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} 0.058485 0.000241 0.033125 0.088984 0.056312 811.79 815.68 1.000
r(A<->C){all} 0.018134 0.000324 0.000001 0.053721 0.013210 715.03 902.11 1.000
r(A<->G){all} 0.233928 0.006113 0.100618 0.393894 0.228068 460.08 496.97 1.000
r(A<->T){all} 0.156151 0.002969 0.053713 0.257008 0.150036 465.32 489.94 1.001
r(C<->G){all} 0.023321 0.000489 0.000010 0.068870 0.016589 630.42 749.46 1.001
r(C<->T){all} 0.513373 0.007240 0.356274 0.687321 0.514469 449.42 487.38 1.000
r(G<->T){all} 0.055093 0.001533 0.000041 0.127008 0.048357 451.37 477.14 1.000
pi(A){all} 0.283483 0.000156 0.259508 0.307378 0.283571 1259.80 1282.78 1.000
pi(C){all} 0.244555 0.000144 0.219867 0.265853 0.244344 1076.21 1204.90 1.000
pi(G){all} 0.218897 0.000126 0.196741 0.240482 0.218843 1086.71 1183.31 1.000
pi(T){all} 0.253065 0.000143 0.229424 0.275926 0.252768 1219.60 1278.24 1.000
alpha{1,2} 0.117761 0.047519 0.000048 0.344117 0.069431 818.98 909.14 1.000
alpha{3} 2.357981 1.864415 0.231766 5.058243 2.099297 1261.27 1307.52 1.000
pinvar{all} 0.768723 0.016427 0.510424 0.907126 0.807058 584.46 614.04 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
Setting sumt conformat to Simple
Setting urn-in to 2500
Summarizing trees in files "/data/mrbayes_input.nex.run1.t" and "/data/mrbayes_input.nex.run2.t"
Using relative burnin ('relburnin=yes'), discarding the first 25 % of sampled trees
Writing statistics to files /data/mrbayes_input.nex.<parts|tstat|vstat|trprobs|con>
Examining first file ...
Found one tree block in file "/data/mrbayes_input.nex.run1.t" with 2001 trees in last block
Expecting the same number of trees in the last tree block of all files
Tree reading status:
0 10 20 30 40 50 60 70 80 90 100
v-------v-------v-------v-------v-------v-------v-------v-------v-------v-------v
*********************************************************************************
Read a total of 4002 trees in 2 files (sampling 3002 of them)
(Each file contained 2001 trees of which 1501 were sampled)
General explanation:
In an unrooted tree, a taxon bipartition (split) is specified by removing a
branch, thereby dividing the species into those to the left and those to the
right of the branch. Here, taxa to one side of the removed branch are denoted
'.' and those to the other side are denoted '*'. Specifically, the '.' symbol
is used for the taxa on the same side as the outgroup.
In a rooted or clock tree, the tree is rooted using the model and not by
reference to an outgroup. Each bipartition therefore corresponds to a clade,
that is, a group that includes all the descendants of a particular branch in
the tree. Taxa that are included in each clade are denoted using '*', and
taxa that are not included are denoted using the '.' symbol.
The output first includes a key to all the bipartitions with frequency larger
or equual to (Minpartfreq) in at least one run. Minpartfreq is a parameter to
sumt command and currently it is set to 0.10. This is followed by a table
with statistics for the informative bipartitions (those including at least
two taxa), sorted from highest to lowest probability. For each bipartition,
the table gives the number of times the partition or split was observed in all
runs (#obs) and the posterior probability of the bipartition (Probab.), which
is the same as the split frequency. If several runs are summarized, this is
followed by the minimum split frequency (Min(s)), the maximum frequency
(Max(s)), and the standard deviation of frequencies (Stddev(s)) across runs.
The latter value should approach 0 for all bipartitions as MCMC runs converge.
This is followed by a table summarizing branch lengths, node heights (if a
clock model was used) and relaxed clock parameters (if a relaxed clock model
was used). The mean, variance, and 95 % credible interval are given for each
of these parameters. If several runs are summarized, the potential scale
reduction factor (PSRF) is also given; it should approach 1 as runs converge.
Node heights will take calibration points into account, if such points were
used in the analysis.
Note that Stddev may be unreliable if the partition is not present in all
runs (the last column indicates the number of runs that sampled the partition
if more than one run is summarized). The PSRF is not calculated at all if
the partition is not present in all runs.The PSRF is also sensitive to small
sample sizes and it should only be considered a rough guide to convergence
since some of the assumptions allowing one to interpret it as a true potential
scale reduction factor are violated in MrBayes.
List of taxa in bipartitions:
1 -- 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 -- .*......*.
----------------
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 2861 0.953031 0.012719 0.944037 0.962025 2
13 2236 0.744837 0.021670 0.729514 0.760160 2
14 1763 0.587275 0.002355 0.585610 0.588941 2
15 1023 0.340773 0.019315 0.327115 0.354430 2
16 1005 0.334777 0.000471 0.334444 0.335110 2
17 974 0.324450 0.018844 0.311126 0.337775 2
18 694 0.231179 0.022612 0.215190 0.247169 2
19 609 0.202865 0.016488 0.191206 0.214524 2
20 609 0.202865 0.009893 0.195869 0.209860 2
21 603 0.200866 0.003298 0.198534 0.203198 2
22 600 0.199867 0.001884 0.198534 0.201199 2
23 592 0.197202 0.012248 0.188541 0.205863 2
24 584 0.194537 0.019786 0.180546 0.208528 2
25 581 0.193538 0.019315 0.179880 0.207195 2
26 578 0.192538 0.000942 0.191872 0.193205 2
27 576 0.191872 0.020728 0.177215 0.206529 2
28 552 0.183877 0.006595 0.179214 0.188541 2
29 510 0.169887 0.018844 0.156562 0.183211 2
30 319 0.106262 0.015546 0.095270 0.117255 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] 0.000749 0.000001 0.000000 0.002229 0.000527 1.000 2
length{all}[2] 0.001727 0.000003 0.000000 0.004912 0.001301 1.000 2
length{all}[3] 0.000754 0.000001 0.000001 0.002303 0.000498 1.000 2
length{all}[4] 0.000779 0.000001 0.000000 0.002366 0.000548 1.000 2
length{all}[5] 0.000773 0.000001 0.000000 0.002330 0.000530 1.000 2
length{all}[6] 0.000789 0.000001 0.000001 0.002377 0.000534 1.000 2
length{all}[7] 0.000783 0.000001 0.000000 0.002401 0.000530 1.002 2
length{all}[8] 0.000754 0.000001 0.000000 0.002286 0.000510 1.001 2
length{all}[9] 0.002982 0.000003 0.000317 0.006478 0.002653 1.000 2
length{all}[10] 0.002536 0.000003 0.000020 0.005703 0.002188 1.000 2
length{all}[11] 0.036970 0.000145 0.017740 0.060316 0.034893 1.000 2
length{all}[12] 0.002618 0.000003 0.000232 0.005848 0.002277 1.000 2
length{all}[13] 0.002553 0.000003 0.000070 0.005805 0.002235 1.000 2
length{all}[14] 0.001727 0.000002 0.000007 0.004431 0.001396 1.000 2
length{all}[15] 0.000804 0.000001 0.000001 0.002409 0.000558 0.999 2
length{all}[16] 0.000778 0.000001 0.000000 0.002465 0.000514 1.002 2
length{all}[17] 0.000730 0.000001 0.000000 0.002227 0.000511 0.999 2
length{all}[18] 0.001553 0.000002 0.000002 0.004242 0.001204 0.999 2
length{all}[19] 0.000766 0.000001 0.000002 0.002215 0.000510 1.000 2
length{all}[20] 0.000796 0.000001 0.000002 0.002388 0.000591 1.000 2
length{all}[21] 0.000758 0.000001 0.000000 0.002226 0.000507 0.998 2
length{all}[22] 0.000804 0.000001 0.000001 0.002335 0.000549 0.999 2
length{all}[23] 0.000719 0.000001 0.000000 0.002181 0.000483 0.998 2
length{all}[24] 0.000875 0.000001 0.000001 0.002414 0.000608 0.999 2
length{all}[25] 0.000748 0.000001 0.000000 0.002193 0.000536 1.008 2
length{all}[26] 0.000845 0.000001 0.000002 0.002624 0.000595 0.999 2
length{all}[27] 0.000772 0.000001 0.000000 0.002465 0.000541 1.001 2
length{all}[28] 0.000782 0.000001 0.000004 0.002524 0.000544 1.001 2
length{all}[29] 0.001901 0.000002 0.000006 0.004833 0.001573 0.998 2
length{all}[30] 0.001620 0.000002 0.000010 0.004105 0.001273 0.997 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 = 0.012178
Maximum standard deviation of split frequencies = 0.022612
Average PSRF for parameter values (excluding NA and >10.0) = 1.000
Maximum PSRF for parameter values = 1.008
Clade credibility values:
/----------------------------------------------------------------------- C1 (1)
|
|----------------------------------------------------------------------- C2 (3)
|
|----------------------------------------------------------------------- C3 (4)
|
|----------------------------------------------------------------------- C6 (7)
|
+ /---------------------------- C10 (2)
| |
| /------74------+ /-------------- C4 (5)
| | | |
| | \-----100-----+-------------- C5 (6)
| /------59-----+ |
| | | \-------------- C7 (8)
| | |
\------95-----+ \------------------------------------------- C9 (10)
|
\--------------------------------------------------------- C8 (9)
Phylogram (based on average branch lengths):
/- C1 (1)
|
|- C2 (3)
|
|- C3 (4)
|
|- C6 (7)
|
+ /--- C10 (2)
| |
| /---+ /- C4 (5)
| | | |
| | \------------------------------------------------------------+- C5 (6)
| /-+ |
| | | \- C7 (8)
| | |
\---+ \---- C9 (10)
|
\----- C8 (9)
|-------| 0.005 expected changes per site
Calculating tree probabilities...
Credible sets of trees (519 trees sampled):
50 % credible set contains 50 trees
90 % credible set contains 241 trees
95 % credible set contains 369 trees
99 % credible set contains 489 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 22:52:54 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result--
CLUSTAL FORMAT for T-COFFEE Version_12.00.7fb08c2 [http://www.tcoffee.org] [MODE: ], CPU=0.07 sec, SCORE=1000, Nseq=10, Len=423
C1 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
C2 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
C3 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
C4 MATPAAPRTISFADNNDNQSNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
C5 MATPAAPRTISFADNNDNQSNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
C6 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
C7 MATPAAPRTISFADNNDNQSNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
C8 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
C9 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
C10 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
*******************.******************************
C1 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
C2 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
C3 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
C4 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
C5 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
C6 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
C7 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
C8 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
C9 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
C10 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
**************************************************
C1 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
C2 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
C3 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
C4 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
C5 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
C6 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
C7 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
C8 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
C9 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
C10 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
**************************************************
C1 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSSSRGGRSTSNSRGTS
C2 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSSSRGGRSTSNSRGTS
C3 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSSSRGGRSTSNSRGTS
C4 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS
C5 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS
C6 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSSSRGGRSTSNSRGTS
C7 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS
C8 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS
C9 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS
C10 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS
***********************************.**************
C1 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
C2 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
C3 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
C4 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
C5 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
C6 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
C7 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
C8 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
C9 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
C10 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
**************************************************
C1 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
C2 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
C3 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
C4 MRHKRVATKSFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
C5 MRHKRVATKSFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
C6 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
C7 MRHKRVATKSFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
C8 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
C9 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
C10 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
*********.****************************************
C1 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
C2 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
C3 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
C4 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
C5 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
C6 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
C7 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
C8 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
C9 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
C10 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
**************************************************
C1 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
C2 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
C3 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
C4 LLEANIDAYKTFPKKERKPKTTEDGAVSSSSASQMEDVDAKPQRKPKSRV
C5 LLEANIDAYKTFPKKERKPKTTEDGAVSSSSASQMEDVDAKPQRKPKSRV
C6 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
C7 LLEANIDAYKTFPKKERKPKTTEDGAVSSSSASQMEDVDAKPQRKPKSRV
C8 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
C9 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
C10 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
***:***********************:**********************
C1 AGSITMRSGSLPALQDVTFDSEA
C2 AGSITMRSGSLPALQDVTFDSEA
C3 AGSITMRSGSLPALQDVTFDSEA
C4 AGSITMRSGSSPALQDVTFDSEA
C5 AGSITMRSGSSPALQDVTFDSEA
C6 AGSITMRSGSLPALQDVTFDSEA
C7 AGSITMRSGSSPALQDVTFDSEA
C8 AGSITMRSGSSPALQDVTFNSEA
C9 AGSITMRSGSSPALQDVTFDSEA
C10 AGSITMRSGSSPALQDVTFNSEA
********** ********:***
-- Starting log on Wed Oct 26 23:32:15 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result/original_alignment/codeml,B05f_N_ABN10855_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 1269 sites
reading seq# 2 C2 1269 sites
reading seq# 3 C3 1269 sites
reading seq# 4 C4 1269 sites
reading seq# 5 C5 1269 sites
reading seq# 6 C6 1269 sites
reading seq# 7 C7 1269 sites
reading seq# 8 C8 1269 sites
reading seq# 9 C9 1269 sites
reading seq#10 C10 1269 sitesns = 10 ls = 1269
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, 92 patterns at 423 / 423 sites (100.0%), 0:00
Collecting fpatt[] & pose[], 92 patterns at 423 / 423 sites (100.0%), 0:00
Counting codons..
360 bytes for distance
89792 bytes for conP
8096 bytes for fhK
5000000 bytes for space
Model 1: NearlyNeutral
TREE # 1
(1, 2, 3, 6, (((10, (4, 5, 7)), 9), 8)); MP score: 46
224480 bytes for conP, adjusted
0.106520 0.022027 0.095321 0.069051 0.010683 0.106055 0.101962 0.025973 0.044349 0.079564 0.034821 0.043924 0.095202 0.050472 0.300000 0.806977 0.325817
ntime & nrate & np: 14 2 17
Bounds (np=17):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.000010 0.000001
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 0.999990 1.000000
Qfactor_NS = 14.292694
np = 17
lnL0 = -2282.802077
Iterating by ming2
Initial: fx= 2282.802077
x= 0.10652 0.02203 0.09532 0.06905 0.01068 0.10605 0.10196 0.02597 0.04435 0.07956 0.03482 0.04392 0.09520 0.05047 0.30000 0.80698 0.32582
1 h-m-p 0.0000 0.0001 1312.0317 ++ 2193.994297 m 0.0001 22 | 0/17
2 h-m-p 0.0000 0.0000 58046.6100 ++ 2190.109213 m 0.0000 42 | 1/17
3 h-m-p 0.0000 0.0000 8937.3206 ++ 2145.837624 m 0.0000 62 | 2/17
4 h-m-p 0.0000 0.0000 84020.4311 ++ 2117.874381 m 0.0000 82 | 3/17
5 h-m-p 0.0000 0.0000 4915.5405 ++ 2094.859016 m 0.0000 102 | 3/17
6 h-m-p 0.0000 0.0000 6514.2046 ++ 2054.317788 m 0.0000 122 | 4/17
7 h-m-p 0.0000 0.0000 3683.0204 ++ 2038.323656 m 0.0000 142 | 5/17
8 h-m-p 0.0000 0.0000 6206.1756 ++ 2029.654489 m 0.0000 162 | 5/17
9 h-m-p 0.0000 0.0000 441859.7559
h-m-p: 3.64326744e-25 1.82163372e-24 4.41859756e+05 2029.654489
.. | 5/17
10 h-m-p 0.0000 0.0000 12097.3885 YCYYYCC 2023.536593 6 0.0000 207 | 5/17
11 h-m-p 0.0000 0.0000 891.6809 ++ 2009.714436 m 0.0000 227 | 6/17
12 h-m-p 0.0000 0.0000 5643.8162 ++ 1994.613158 m 0.0000 247 | 7/17
13 h-m-p 0.0000 0.0000 1450.4111 +YYCYCCC 1986.052203 6 0.0000 278 | 7/17
14 h-m-p 0.0000 0.0000 254.5295 YCCCC 1985.551172 4 0.0000 305 | 7/17
15 h-m-p 0.0000 0.0001 197.6529 CCCC 1985.361968 3 0.0000 331 | 7/17
16 h-m-p 0.0000 0.0011 340.2367 +++YCCC 1974.842253 3 0.0008 359 | 7/17
17 h-m-p 0.0001 0.0004 604.7605 +CYYYYCCC 1957.956341 7 0.0004 390 | 7/17
18 h-m-p 0.0001 0.0007 156.3935 ++ 1953.529058 m 0.0007 410 | 7/17
19 h-m-p 0.0003 0.0024 359.9159 +YYYYC 1942.125585 4 0.0011 435 | 7/17
20 h-m-p 0.0993 0.4963 0.2139 +CYCCC 1938.872519 4 0.4144 463 | 7/17
21 h-m-p 0.0219 0.1097 0.7013 YCCCC 1938.118341 4 0.0496 500 | 7/17
22 h-m-p 0.0958 0.4792 0.2136 YCYCCC 1936.763083 5 0.2533 538 | 7/17
23 h-m-p 0.5182 3.4870 0.1044 YCCC 1935.225599 3 1.0826 573 | 7/17
24 h-m-p 0.5430 2.9426 0.2082 +YC 1934.014842 1 1.3576 605 | 7/17
25 h-m-p 0.2376 1.1880 0.4150 ++ 1931.983685 m 1.1880 635 | 8/17
26 h-m-p 1.3388 7.3395 0.3682 CCCC 1931.132485 3 1.2739 671 | 8/17
27 h-m-p 1.5831 7.9153 0.2764 CYCC 1930.504058 3 2.1332 705 | 8/17
28 h-m-p 1.6000 8.0000 0.2618 CCC 1930.191154 2 1.6681 738 | 8/17
29 h-m-p 1.6000 8.0000 0.1409 CC 1930.123560 1 1.6043 769 | 8/17
30 h-m-p 1.6000 8.0000 0.0838 CCC 1930.107970 2 1.5160 802 | 8/17
31 h-m-p 1.6000 8.0000 0.0179 CC 1930.103760 1 2.2397 833 | 8/17
32 h-m-p 1.6000 8.0000 0.0180 +YC 1930.099225 1 4.2163 864 | 8/17
33 h-m-p 1.6000 8.0000 0.0112 YC 1930.094183 1 3.8732 894 | 8/17
34 h-m-p 1.6000 8.0000 0.0127 CC 1930.092135 1 2.4301 925 | 8/17
35 h-m-p 1.6000 8.0000 0.0091 YC 1930.092011 1 1.1326 955 | 8/17
36 h-m-p 1.6000 8.0000 0.0012 C 1930.092008 0 1.4016 984 | 8/17
37 h-m-p 1.6000 8.0000 0.0002 Y 1930.092008 0 1.0952 1013 | 8/17
38 h-m-p 1.6000 8.0000 0.0001 Y 1930.092008 0 1.0782 1042 | 8/17
39 h-m-p 1.6000 8.0000 0.0000 ++ 1930.092008 m 8.0000 1071 | 8/17
40 h-m-p 1.1562 8.0000 0.0000 ----Y 1930.092008 0 0.0011 1104
Out..
lnL = -1930.092008
1105 lfun, 3315 eigenQcodon, 30940 P(t)
end of tree file.
Time used: 0:11
Model 2: PositiveSelection
TREE # 1
(1, 2, 3, 6, (((10, (4, 5, 7)), 9), 8)); MP score: 46
0.097120 0.099977 0.029044 0.083406 0.068423 0.022396 0.057903 0.092788 0.017606 0.073498 0.057475 0.035180 0.083739 0.100775 4.137297 1.043814 0.583838 0.274874 1.544594
ntime & nrate & np: 14 3 19
Bounds (np=19):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 -99.000000 -99.000000 0.000001 1.000000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 99.000000 99.000000 1.000000 999.000000
Qfactor_NS = 3.702050
np = 19
lnL0 = -2278.022882
Iterating by ming2
Initial: fx= 2278.022882
x= 0.09712 0.09998 0.02904 0.08341 0.06842 0.02240 0.05790 0.09279 0.01761 0.07350 0.05747 0.03518 0.08374 0.10077 4.13730 1.04381 0.58384 0.27487 1.54459
1 h-m-p 0.0000 0.0001 1872.0018 ++ 2141.199272 m 0.0001 24 | 0/19
2 h-m-p 0.0000 0.0000 1890.8597 ++ 2134.295022 m 0.0000 46 | 1/19
3 h-m-p 0.0000 0.0000 2051.6721 ++ 2133.857023 m 0.0000 68 | 1/19
4 h-m-p 0.0000 0.0000 9101.6332 ++ 2103.267421 m 0.0000 90 | 2/19
5 h-m-p 0.0000 0.0001 1591.4258 ++ 2037.713084 m 0.0001 112 | 3/19
6 h-m-p 0.0000 0.0000 2379.1004 ++ 2008.780010 m 0.0000 134 | 4/19
7 h-m-p 0.0000 0.0000 13204.7714 ++ 1995.875924 m 0.0000 156 | 5/19
8 h-m-p 0.0000 0.0000 38601.8065 ++ 1983.140780 m 0.0000 178 | 6/19
9 h-m-p 0.0000 0.0000 1209.2571 ++ 1981.874905 m 0.0000 200 | 7/19
10 h-m-p 0.0000 0.0002 156.1843 ++ 1973.743081 m 0.0002 222 | 8/19
11 h-m-p 0.0000 0.0001 844.9224 +YYYYCYCCC 1967.132393 8 0.0001 256 | 8/19
12 h-m-p 0.0003 0.0017 85.1670 +YYYYCCC 1962.787790 6 0.0013 287 | 8/19
13 h-m-p 0.0062 0.0308 10.1976 +YYYYYCCCCC 1957.431996 9 0.0250 323 | 8/19
14 h-m-p 0.0009 0.0047 58.5712 ++ 1952.122758 m 0.0047 345 | 9/19
15 h-m-p 0.0088 0.0439 10.5690 CYCCC 1951.838983 4 0.0142 374 | 9/19
16 h-m-p 0.0009 0.0046 69.9564 ++ 1949.103996 m 0.0046 396 | 10/19
17 h-m-p 0.0881 0.4731 2.2960 +YYYYYYCCCC 1944.456745 9 0.3575 431 | 9/19
18 h-m-p 0.0000 0.0000 17311.3009 CCCC 1944.282347 3 0.0000 459 | 9/19
19 h-m-p 0.0123 0.6245 3.4263 ++YCC 1940.162526 2 0.2944 486 | 9/19
20 h-m-p 0.4033 2.0163 0.8748 CYCCC 1938.955760 4 0.3521 515 | 9/19
21 h-m-p 0.2506 1.2529 1.0947 ++ 1934.754642 m 1.2529 547 | 10/19
22 h-m-p 0.4697 2.3483 0.6987 +YCYCCC 1932.239633 5 1.3611 578 | 9/19
23 h-m-p 0.0000 0.0001 7226.1941 CC 1932.171043 1 0.0000 611 | 9/19
24 h-m-p 0.0664 2.7974 0.5196 ++YCCCC 1931.061737 4 1.1831 642 | 9/19
25 h-m-p 0.4944 2.4718 0.4744 YCYCCC 1930.375006 5 1.1892 682 | 9/19
26 h-m-p 0.3537 1.7687 0.4992 CYC 1930.251147 2 0.4728 717 | 9/19
27 h-m-p 0.4775 8.0000 0.4943 YC 1930.132901 1 1.1518 750 | 8/19
28 h-m-p 0.0526 0.3952 10.8243 --YC 1930.132562 1 0.0006 785 | 8/19
29 h-m-p 0.0165 0.2030 0.4176 ++ 1930.114841 m 0.2030 807 | 9/19
30 h-m-p 0.3852 8.0000 0.2201 YC 1930.092814 1 0.6932 841 | 9/19
31 h-m-p 1.6000 8.0000 0.0444 YC 1930.092086 1 0.9054 874 | 8/19
32 h-m-p 0.4461 8.0000 0.0901 +++ 1930.016825 m 8.0000 907 | 8/19
33 h-m-p 0.0173 0.8201 41.7732 CCC 1929.976360 2 0.0203 944 | 8/19
34 h-m-p 1.6000 8.0000 0.1961 ----------------.. | 8/19
35 h-m-p 0.0000 0.0000 134.9720 +CYC 1929.881957 2 0.0000 1017 | 8/19
36 h-m-p 0.0000 0.0000 53.1144 ++ 1929.857838 m 0.0000 1039 | 8/19
37 h-m-p -0.0000 -0.0000 30.9989
h-m-p: -2.42592888e-21 -1.21296444e-20 3.09988897e+01 1929.857838
.. | 8/19
38 h-m-p 0.0000 0.0002 25.8319 C 1929.854436 0 0.0000 1080 | 8/19
39 h-m-p 0.0000 0.0000 21.7161 ++ 1929.853067 m 0.0000 1102 | 9/19
40 h-m-p 0.0000 0.0007 25.6796 YC 1929.851065 1 0.0000 1125 | 9/19
41 h-m-p 0.0000 0.0027 14.8409 +YC 1929.846538 1 0.0001 1149 | 9/19
42 h-m-p 0.0000 0.0011 25.7231 YC 1929.844133 1 0.0000 1172 | 9/19
43 h-m-p 0.0005 0.0106 1.3871 -C 1929.844068 0 0.0000 1195 | 9/19
44 h-m-p 0.0008 0.3910 1.5669 C 1929.843886 0 0.0002 1217 | 9/19
45 h-m-p 0.0004 0.1834 20.9774 ++C 1929.785428 0 0.0059 1241 | 9/19
46 h-m-p 0.4300 8.0000 0.2863 +YCCC 1929.648056 3 3.2402 1269 | 8/19
47 h-m-p 0.0775 0.3874 7.3677 --YC 1929.647656 1 0.0006 1304 | 8/19
48 h-m-p 0.0160 8.0000 0.5286 +++CCC 1929.540231 2 1.4211 1333 | 8/19
49 h-m-p 1.6000 8.0000 0.1588 CC 1929.473362 1 1.8601 1368 | 8/19
50 h-m-p 0.6080 8.0000 0.4857 +CCC 1929.334601 2 2.8018 1406 | 8/19
51 h-m-p 1.6000 8.0000 0.4796 CYC 1929.252408 2 1.7199 1442 | 8/19
52 h-m-p 1.0420 8.0000 0.7916 CCC 1929.206061 2 1.5343 1479 | 8/19
53 h-m-p 1.6000 8.0000 0.4465 YC 1929.185681 1 1.2319 1513 | 8/19
54 h-m-p 0.9873 8.0000 0.5572 YC 1929.176390 1 1.7816 1547 | 8/19
55 h-m-p 1.6000 8.0000 0.1594 YC 1929.174609 1 1.2729 1581 | 8/19
56 h-m-p 1.4448 8.0000 0.1405 CC 1929.174070 1 1.8072 1616 | 8/19
57 h-m-p 1.6000 8.0000 0.0176 ++ 1929.172318 m 8.0000 1649 | 8/19
58 h-m-p 0.5745 8.0000 0.2446 +YC 1929.163041 1 4.8360 1684 | 8/19
59 h-m-p 1.6000 8.0000 0.6391 CCC 1929.153234 2 1.7890 1721 | 8/19
60 h-m-p 1.6000 8.0000 0.4034 C 1929.150164 0 1.5160 1754 | 8/19
61 h-m-p 1.6000 8.0000 0.2459 +YC 1929.147072 1 4.0448 1789 | 8/19
62 h-m-p 1.6000 8.0000 0.4167 C 1929.145807 0 1.7305 1822 | 8/19
63 h-m-p 1.6000 8.0000 0.2806 CC 1929.145312 1 2.3574 1857 | 8/19
64 h-m-p 1.5390 8.0000 0.4298 C 1929.145042 0 2.0273 1890 | 8/19
65 h-m-p 1.6000 8.0000 0.3536 C 1929.144903 0 2.0766 1923 | 8/19
66 h-m-p 1.6000 8.0000 0.3510 C 1929.144839 0 2.4783 1956 | 8/19
67 h-m-p 1.6000 8.0000 0.3474 Y 1929.144813 0 2.5733 1989 | 8/19
68 h-m-p 1.6000 8.0000 0.3209 C 1929.144802 0 2.4610 2022 | 8/19
69 h-m-p 1.6000 8.0000 0.3587 Y 1929.144797 0 2.9737 2055 | 8/19
70 h-m-p 1.6000 8.0000 0.3155 C 1929.144795 0 1.9616 2088 | 8/19
71 h-m-p 1.6000 8.0000 0.3358 +Y 1929.144794 0 4.4067 2122 | 8/19
72 h-m-p 1.6000 8.0000 0.3049 C 1929.144794 0 1.5475 2155 | 8/19
73 h-m-p 1.3903 8.0000 0.3394 +C 1929.144794 0 5.5613 2189 | 8/19
74 h-m-p 1.6000 8.0000 0.1556 C 1929.144794 0 2.0981 2222 | 8/19
75 h-m-p 1.1947 8.0000 0.2732 Y 1929.144794 0 2.2438 2255 | 8/19
76 h-m-p 1.5818 8.0000 0.3876 +C 1929.144794 0 5.4488 2289 | 8/19
77 h-m-p 1.6000 8.0000 0.0954 C 1929.144794 0 0.5486 2322 | 8/19
78 h-m-p 0.1005 8.0000 0.5204 Y 1929.144794 0 0.1906 2355 | 8/19
79 h-m-p 1.6000 8.0000 0.0501 ----------------.. | 8/19
80 h-m-p 0.0096 4.7759 0.0033 ---------Y 1929.144794 0 0.0000 2444 | 8/19
81 h-m-p 0.0079 3.9713 0.0008 -C 1929.144794 0 0.0006 2478 | 8/19
82 h-m-p 0.0160 8.0000 0.0004 ------C 1929.144794 0 0.0000 2517
Out..
lnL = -1929.144794
2518 lfun, 10072 eigenQcodon, 105756 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) = -1939.978777 S = -1901.928971 -56.437564
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 92 patterns 0:49
did 20 / 92 patterns 0:49
did 30 / 92 patterns 0:49
did 40 / 92 patterns 0:49
did 50 / 92 patterns 0:49
did 60 / 92 patterns 0:49
did 70 / 92 patterns 0:49
did 80 / 92 patterns 0:49
did 90 / 92 patterns 0:49
did 92 / 92 patterns 0:49end of tree file.
Time used: 0:49
Model 7: beta
TREE # 1
(1, 2, 3, 6, (((10, (4, 5, 7)), 9), 8)); MP score: 46
0.053274 0.099855 0.073567 0.050052 0.078161 0.010816 0.045963 0.038861 0.099184 0.040139 0.081182 0.096529 0.099531 0.095496 4.358813 0.536538 1.314596
ntime & nrate & np: 14 1 17
Bounds (np=17):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.005000 0.005000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 99.000000 99.000000
Qfactor_NS = 5.949642
np = 17
lnL0 = -2224.442969
Iterating by ming2
Initial: fx= 2224.442969
x= 0.05327 0.09985 0.07357 0.05005 0.07816 0.01082 0.04596 0.03886 0.09918 0.04014 0.08118 0.09653 0.09953 0.09550 4.35881 0.53654 1.31460
1 h-m-p 0.0000 0.0000 1196.1260 ++ 2172.442137 m 0.0000 22 | 1/17
2 h-m-p 0.0000 0.0000 2283.3216 ++ 2132.853074 m 0.0000 42 | 1/17
3 h-m-p 0.0000 0.0000 1080.7989 ++ 2115.718319 m 0.0000 62 | 0/17
4 h-m-p 0.0000 0.0000 6956.7202
h-m-p: 6.92279816e-23 3.46139908e-22 6.95672021e+03 2115.718319
.. | 0/17
5 h-m-p 0.0000 0.0001 4812.0290 CYCYCCC 2109.184372 6 0.0000 109 | 0/17
6 h-m-p 0.0000 0.0000 1185.3090 ++ 2102.800191 m 0.0000 129 | 1/17
7 h-m-p 0.0000 0.0000 355754.5067 ++ 2044.498620 m 0.0000 149 | 2/17
8 h-m-p 0.0000 0.0000 12651.3480 ++ 2018.012222 m 0.0000 169 | 3/17
9 h-m-p 0.0000 0.0000 1735.9140 ++ 2009.656129 m 0.0000 189 | 4/17
10 h-m-p 0.0000 0.0001 537.2723 ++ 1968.252658 m 0.0001 209 | 5/17
11 h-m-p 0.0000 0.0000 1972.2241 ++ 1957.013188 m 0.0000 229 | 6/17
12 h-m-p 0.0000 0.0000 2427.1788 ++ 1944.325661 m 0.0000 249 | 7/17
13 h-m-p 0.0000 0.0000 1343.0117 ++ 1943.719293 m 0.0000 269 | 8/17
14 h-m-p 0.0000 0.0122 21.0727 ++++YYYCC 1938.928743 4 0.0062 298 | 7/17
15 h-m-p 0.0000 0.0000 13082.3627 CYCCC 1938.386557 4 0.0000 325 | 7/17
16 h-m-p 0.0004 0.0069 42.7570 ++YCYYCC 1933.074641 5 0.0052 355 | 7/17
17 h-m-p 0.0010 0.0050 30.2171 CYCCCC 1932.628871 5 0.0014 384 | 7/17
18 h-m-p 0.0234 0.1405 1.8346 CCCC 1932.289317 3 0.0385 410 | 7/17
19 h-m-p 0.0140 0.0698 1.7065 YYY 1932.204478 2 0.0140 432 | 7/17
20 h-m-p 0.0157 0.6778 1.5175 ++YCCC 1931.604111 3 0.1733 459 | 7/17
21 h-m-p 0.3178 1.5888 0.4819 CCCC 1931.102927 3 0.3459 485 | 7/17
22 h-m-p 0.2430 1.2148 0.6371 YYC 1931.000878 2 0.1655 517 | 7/17
23 h-m-p 1.0308 8.0000 0.1023 YCC 1930.899256 2 1.8226 550 | 7/17
24 h-m-p 0.8218 5.3338 0.2269 +YCYC 1930.762672 3 2.3879 585 | 7/17
25 h-m-p 0.2494 1.2468 0.7272 +YYCYCC 1930.515828 5 0.8696 623 | 7/17
26 h-m-p 0.0451 0.2254 1.0100 CC 1930.507625 1 0.0553 655 | 7/17
27 h-m-p 0.1551 0.7757 0.3466 YYCYCYC 1930.461562 6 0.2550 683 | 7/17
28 h-m-p 0.1317 4.8145 0.6712 +CC 1930.353444 1 0.6357 716 | 7/17
29 h-m-p 1.2450 6.2248 0.0184 CYCCC 1930.307187 4 2.0744 753 | 7/17
30 h-m-p 0.4934 8.0000 0.0774 +YC 1930.299548 1 1.2758 785 | 7/17
31 h-m-p 1.6000 8.0000 0.0570 YYC 1930.296720 2 1.0792 817 | 7/17
32 h-m-p 1.6000 8.0000 0.0042 YC 1930.296316 1 1.1890 848 | 7/17
33 h-m-p 1.3278 8.0000 0.0038 C 1930.296223 0 1.7276 878 | 7/17
34 h-m-p 1.6000 8.0000 0.0036 C 1930.296172 0 1.4620 908 | 7/17
35 h-m-p 1.6000 8.0000 0.0018 C 1930.296136 0 1.6000 938 | 7/17
36 h-m-p 1.6000 8.0000 0.0009 C 1930.296135 0 0.4216 968 | 7/17
37 h-m-p 0.6796 8.0000 0.0006 Y 1930.296129 0 1.6570 998 | 7/17
38 h-m-p 1.6000 8.0000 0.0003 C 1930.296128 0 1.3625 1028 | 7/17
39 h-m-p 1.6000 8.0000 0.0001 ++ 1930.296122 m 8.0000 1058 | 7/17
40 h-m-p 1.5649 8.0000 0.0007 ----------Y 1930.296122 0 0.0000 1098
Out..
lnL = -1930.296122
1099 lfun, 12089 eigenQcodon, 153860 P(t)
end of tree file.
Time used: 1:43
Model 8: beta&w>1
TREE # 1
(1, 2, 3, 6, (((10, (4, 5, 7)), 9), 8)); MP score: 46
0.092173 0.083777 0.011302 0.048484 0.031113 0.053027 0.039873 0.108915 0.076835 0.020224 0.099426 0.060036 0.070636 0.095835 4.152301 0.900000 0.351822 1.224549 1.300000
ntime & nrate & np: 14 2 19
Bounds (np=19):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.000010 0.005000 0.005000 1.000000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 0.999990 99.000000 99.000000 999.000000
Qfactor_NS = 5.805442
np = 19
lnL0 = -2192.086696
Iterating by ming2
Initial: fx= 2192.086696
x= 0.09217 0.08378 0.01130 0.04848 0.03111 0.05303 0.03987 0.10892 0.07683 0.02022 0.09943 0.06004 0.07064 0.09583 4.15230 0.90000 0.35182 1.22455 1.30000
1 h-m-p 0.0000 0.0000 1101.1970 ++ 2149.815438 m 0.0000 24 | 1/19
2 h-m-p 0.0000 0.0000 9849.2336 ++ 2115.457908 m 0.0000 46 | 2/19
3 h-m-p 0.0000 0.0000 2227.7167 ++ 2048.118362 m 0.0000 68 | 2/19
4 h-m-p 0.0000 0.0000 8763.1280 ++ 2037.896191 m 0.0000 90 | 3/19
5 h-m-p 0.0000 0.0000 2751.7093 ++ 2014.402724 m 0.0000 112 | 4/19
6 h-m-p 0.0000 0.0000 8297.6051 ++ 1979.584396 m 0.0000 134 | 5/19
7 h-m-p 0.0000 0.0000 74757.8835 ++ 1970.438426 m 0.0000 156 | 6/19
8 h-m-p 0.0000 0.0000 725.0513 ++ 1965.288051 m 0.0000 178 | 7/19
9 h-m-p 0.0000 0.0002 170.6012 +YYYYYYYC 1961.143842 7 0.0001 208 | 7/19
10 h-m-p 0.0000 0.0001 584.7673 +YYCYCCC 1955.000167 6 0.0000 240 | 7/19
11 h-m-p 0.0003 0.0014 57.4824 +YYYYYYCCCC 1946.346182 10 0.0011 276 | 7/19
12 h-m-p 0.0003 0.0015 78.8002 +CYYYC 1941.767548 4 0.0013 304 | 7/19
13 h-m-p 0.0000 0.0001 501.9052 ++ 1938.416202 m 0.0001 326 | 8/19
14 h-m-p 0.0011 0.0081 26.5238 +YYCCC 1936.208353 4 0.0039 355 | 8/19
15 h-m-p 0.0125 0.0623 4.8761 CYCCC 1935.357240 4 0.0208 384 | 7/19
16 h-m-p 0.0002 0.0010 220.1506 ++ 1933.936745 m 0.0010 406 | 7/19
17 h-m-p 0.0142 0.0708 1.5444 YCYCCC 1933.328664 5 0.0345 436 | 7/19
18 h-m-p 0.0183 0.0914 2.0245 ++ 1932.533165 m 0.0914 458 | 7/19
19 h-m-p -0.0000 -0.0000 0.9860
h-m-p: -0.00000000e+00 -0.00000000e+00 9.86024628e-01 1932.533165
.. | 7/19
20 h-m-p 0.0000 0.0012 1617.1357 YYCCCC 1930.855503 5 0.0000 519 | 7/19
21 h-m-p 0.0000 0.0000 219.5755 CCCC 1930.592069 3 0.0000 547 | 7/19
22 h-m-p 0.0000 0.0000 52.0570 CCC 1930.574351 2 0.0000 573 | 7/19
23 h-m-p 0.0000 0.0004 64.4719 +CC 1930.534377 1 0.0000 598 | 7/19
24 h-m-p 0.0000 0.0006 98.4480 +YCC 1930.431795 2 0.0001 624 | 7/19
25 h-m-p 0.0002 0.0020 30.7393 -CC 1930.427025 1 0.0000 649 | 7/19
26 h-m-p 0.0001 0.0101 7.3089 ++YC 1930.377052 1 0.0021 674 | 7/19
27 h-m-p 0.0000 0.0001 894.5907 ++ 1930.184227 m 0.0001 696 | 7/19
28 h-m-p -0.0000 -0.0000 126350.0632
h-m-p: -4.45724437e-24 -2.22862219e-23 1.26350063e+05 1930.184227
.. | 7/19
29 h-m-p 0.0000 0.0002 26.7024 CC 1930.178876 1 0.0000 739 | 7/19
30 h-m-p 0.0000 0.0003 39.7165 +YC 1930.168450 1 0.0000 763 | 7/19
31 h-m-p 0.0000 0.0008 70.3768 +CC 1930.117647 1 0.0001 788 | 7/19
32 h-m-p 0.0000 0.0001 144.3459 CCC 1930.096261 2 0.0000 814 | 7/19
33 h-m-p 0.0000 0.0003 110.2531 YC 1930.087765 1 0.0000 837 | 7/19
34 h-m-p 0.0001 0.0010 8.9076 YC 1930.087244 1 0.0000 860 | 7/19
35 h-m-p 0.0001 0.0019 2.2291 +C 1930.086728 0 0.0002 883 | 7/19
36 h-m-p 0.0001 0.0004 7.2711 C 1930.086583 0 0.0000 905 | 7/19
37 h-m-p 0.0002 0.0014 0.7870 ++ 1930.085842 m 0.0014 927 | 8/19
38 h-m-p 0.0022 1.0785 0.7042 ++++YCCCC 1929.916064 4 0.5736 972 | 8/19
39 h-m-p 0.1710 0.8552 0.2216 ++ 1929.802584 m 0.8552 1005 | 9/19
40 h-m-p 0.2792 3.3643 0.6788 CCC 1929.757452 2 0.3993 1042 | 9/19
41 h-m-p 1.3048 8.0000 0.2077 YC 1929.711457 1 0.5889 1075 | 9/19
42 h-m-p 0.8195 8.0000 0.1493 CCC 1929.688193 2 1.1746 1111 | 9/19
43 h-m-p 1.6000 8.0000 0.0651 C 1929.684290 0 1.5323 1143 | 9/19
44 h-m-p 1.6000 8.0000 0.0070 YC 1929.684087 1 1.1016 1176 | 8/19
45 h-m-p 0.1636 8.0000 0.0474 CYCCC 1929.655938 4 0.3392 1216 | 8/19
46 h-m-p 0.0136 4.2073 1.1860 ---C 1929.655936 0 0.0001 1252 | 8/19
47 h-m-p 0.0160 8.0000 0.0064 +++++ 1929.650002 m 8.0000 1277 | 8/19
48 h-m-p 0.0769 3.3135 0.6648 ++YYYCCCCC 1929.545328 7 1.5225 1323 | 8/19
49 h-m-p 0.2094 1.0469 1.1433 YCCCC 1929.518532 4 0.2788 1363 | 8/19
50 h-m-p 0.4840 2.4198 0.4117 CYCCC 1929.429390 4 0.7066 1392 | 8/19
51 h-m-p 0.9773 8.0000 0.2977 CYC 1929.379303 2 0.7044 1428 | 8/19
52 h-m-p 0.5719 5.3566 0.3666 CCC 1929.356401 2 0.8237 1465 | 8/19
53 h-m-p 1.6000 8.0000 0.1025 YC 1929.343381 1 3.1427 1499 | 8/19
54 h-m-p 1.6000 8.0000 0.1129 CC 1929.328117 1 2.3618 1534 | 8/19
55 h-m-p 0.8272 8.0000 0.3224 +YCCC 1929.301378 3 2.2951 1573 | 8/19
56 h-m-p 1.6000 8.0000 0.4607 YCC 1929.260964 2 2.6246 1609 | 8/19
57 h-m-p 1.3389 6.6944 0.5853 YYC 1929.252932 2 0.9115 1644 | 8/19
58 h-m-p 1.1991 8.0000 0.4449 YC 1929.247234 1 0.6602 1678 | 8/19
59 h-m-p 0.7933 8.0000 0.3703 +YC 1929.243277 1 2.2236 1713 | 8/19
60 h-m-p 1.6000 8.0000 0.0906 C 1929.242249 0 1.4376 1746 | 8/19
61 h-m-p 1.0132 8.0000 0.1285 +YC 1929.239892 1 5.3413 1781 | 8/19
62 h-m-p 1.6000 8.0000 0.1102 ++ 1929.226444 m 8.0000 1814 | 8/19
63 h-m-p 1.1822 8.0000 0.7455 +YC 1929.200704 1 3.6310 1849 | 8/19
64 h-m-p 1.6000 8.0000 1.3800 YYC 1929.191649 2 1.4613 1884 | 8/19
65 h-m-p 1.6000 8.0000 1.2255 YCC 1929.181893 2 3.3813 1909 | 8/19
66 h-m-p 1.6000 8.0000 2.0732 CC 1929.173834 1 2.3594 1933 | 8/19
67 h-m-p 1.6000 8.0000 2.4997 +YC 1929.167954 1 4.1988 1957 | 8/19
68 h-m-p 1.6000 8.0000 4.1439 CC 1929.164579 1 2.3116 1981 | 8/19
69 h-m-p 1.6000 8.0000 5.1282 +YC 1929.161872 1 4.5078 2005 | 8/19
70 h-m-p 0.8689 4.3444 9.1430 YC 1929.160363 1 2.0542 2028 | 8/19
71 h-m-p 0.3786 1.8930 11.0609 ++ 1929.159494 m 1.8930 2050 | 9/19
72 h-m-p 0.1838 8.0000 5.9248 ---------------.. | 9/19
73 h-m-p 0.0000 0.0060 1.6110 C 1929.159475 0 0.0000 2107 | 9/19
74 h-m-p 0.0001 0.0357 0.1793 Y 1929.159474 0 0.0000 2129 | 9/19
75 h-m-p 0.0000 0.0229 0.2868 Y 1929.159474 0 0.0000 2161 | 9/19
76 h-m-p 0.0031 1.5642 0.0562 C 1929.159473 0 0.0007 2193 | 9/19
77 h-m-p 0.0003 0.1419 2.3418 Y 1929.159465 0 0.0001 2225 | 9/19
78 h-m-p 0.0008 0.3876 1.0817 Y 1929.159428 0 0.0015 2247 | 9/19
79 h-m-p 0.0001 0.0332 67.8076 ++YC 1929.158155 1 0.0008 2272 | 9/19
80 h-m-p 0.0000 0.0017 3020.1771 +CC 1929.151021 1 0.0001 2297 | 9/19
81 h-m-p 1.6000 8.0000 0.0079 Y 1929.150913 0 2.7675 2319 | 9/19
82 h-m-p 1.6000 8.0000 0.0124 YC 1929.150767 1 3.7654 2352 | 9/19
83 h-m-p 1.6000 8.0000 0.0213 ++ 1929.150000 m 8.0000 2384 | 9/19
84 h-m-p 0.3438 8.0000 0.4961 +YC 1929.148944 1 0.9786 2418 | 9/19
85 h-m-p 1.6000 8.0000 0.0199 C 1929.148850 0 1.4123 2450 | 9/19
86 h-m-p 1.6000 8.0000 0.0076 Y 1929.148849 0 1.1315 2482 | 9/19
87 h-m-p 1.6000 8.0000 0.0009 Y 1929.148849 0 0.6779 2514 | 9/19
88 h-m-p 1.6000 8.0000 0.0002 -------Y 1929.148849 0 0.0000 2553
Out..
lnL = -1929.148849
2554 lfun, 30648 eigenQcodon, 393316 P(t)
BEBing (dim = 4). This may take several minutes.
Calculating f(x_h|w): 10 categories 20 w sets.
Calculating f(X), the marginal likelihood.
log(fX) = -1940.842436 S = -1901.928277 -51.169606
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 92 patterns 4:02
did 20 / 92 patterns 4:02
did 30 / 92 patterns 4:02
did 40 / 92 patterns 4:03
did 50 / 92 patterns 4:03
did 60 / 92 patterns 4:03
did 70 / 92 patterns 4:03
did 80 / 92 patterns 4:03
did 90 / 92 patterns 4:04
did 92 / 92 patterns 4:04end of tree file.
Time used: 4:04
The loglikelihoods for models M1, M2, M7 and M8 are -1930.092008 -1929.144794 -1930.296122 -1929.148849 respectively
CLUSTAL W (1.8) multiple sequence alignment (ALTER 1.3.3)
B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQHGKNPLAFPPG
B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQHGKNPLAFPPG
B07f_N_ABN10864_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQHGKNPLAFPPG
BtTp_GX2012_NA_AIA62359_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQSNQQQRGRGRNPKPRPAPNNTVSWYTGLTQHGKNPLAFPPG
CZ01_N_AWH65884_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQSNQQQRGRGRNPKPRPAPNNTVSWYTGLTQHGKNPLAFPPG
HKU4_1_B04f_N_YP_001039960_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQHGKNPLAFPPG
CZ07_N_AWH65895_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQSNQQQRGRGRNPKPRPAPNNTVSWYTGLTQHGKNPLAFPPG
LMH1f_N_ABN10873_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQHGKNPLAFPPG
SM3A_NA_QQD78090_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQHGKNPLAFPPG
SZ140324_N_AWH65906_1_2014_04_23_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQHGKNPLAFPPG
*******************.****************************************
B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 QGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFFYYTGTGPEANLPFRSVKDGI
B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 QGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFFYYTGTGPEANLPFRSVKDGI
B07f_N_ABN10864_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 QGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFFYYTGTGPEANLPFRSVKDGI
BtTp_GX2012_NA_AIA62359_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4 QGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFFYYTGTGPEANLPFRSVKDGI
CZ01_N_AWH65884_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 QGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFFYYTGTGPEANLPFRSVKDGI
HKU4_1_B04f_N_YP_001039960_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 QGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFFYYTGTGPEANLPFRSVKDGI
CZ07_N_AWH65895_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 QGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFFYYTGTGPEANLPFRSVKDGI
LMH1f_N_ABN10873_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 QGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFFYYTGTGPEANLPFRSVKDGI
SM3A_NA_QQD78090_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4 QGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFFYYTGTGPEANLPFRSVKDGI
SZ140324_N_AWH65906_1_2014_04_23_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 QGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFFYYTGTGPEANLPFRSVKDGI
************************************************************
B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 VWVYEEGATDAPSVFGTRNPANDAAIVCQFAPGTLIPKNFHIEGTGGNSQSSSRASSNSR
B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 VWVYEEGATDAPSVFGTRNPANDAAIVCQFAPGTLIPKNFHIEGTGGNSQSSSRASSNSR
B07f_N_ABN10864_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 VWVYEEGATDAPSVFGTRNPANDAAIVCQFAPGTLIPKNFHIEGTGGNSQSSSRASSNSR
BtTp_GX2012_NA_AIA62359_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4 VWVYEEGATDAPSVFGTRNPANDAAIVCQFAPGTLIPKNFHIEGTGGNSQSSSRASSNSR
CZ01_N_AWH65884_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 VWVYEEGATDAPSVFGTRNPANDAAIVCQFAPGTLIPKNFHIEGTGGNSQSSSRASSNSR
HKU4_1_B04f_N_YP_001039960_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 VWVYEEGATDAPSVFGTRNPANDAAIVCQFAPGTLIPKNFHIEGTGGNSQSSSRASSNSR
CZ07_N_AWH65895_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 VWVYEEGATDAPSVFGTRNPANDAAIVCQFAPGTLIPKNFHIEGTGGNSQSSSRASSNSR
LMH1f_N_ABN10873_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 VWVYEEGATDAPSVFGTRNPANDAAIVCQFAPGTLIPKNFHIEGTGGNSQSSSRASSNSR
SM3A_NA_QQD78090_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4 VWVYEEGATDAPSVFGTRNPANDAAIVCQFAPGTLIPKNFHIEGTGGNSQSSSRASSNSR
SZ140324_N_AWH65906_1_2014_04_23_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 VWVYEEGATDAPSVFGTRNPANDAAIVCQFAPGTLIPKNFHIEGTGGNSQSSSRASSNSR
************************************************************
B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 NSSRSSSRGGRSTSNSRGTSPVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVT
B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 NSSRSSSRGGRSTSNSRGTSPVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVT
B07f_N_ABN10864_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 NSSRSSSRGGRSTSNSRGTSPVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVT
BtTp_GX2012_NA_AIA62359_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4 NSSRSNSRGGRSTSNSRGTSPVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVT
CZ01_N_AWH65884_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 NSSRSNSRGGRSTSNSRGTSPVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVT
HKU4_1_B04f_N_YP_001039960_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 NSSRSSSRGGRSTSNSRGTSPVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVT
CZ07_N_AWH65895_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 NSSRSNSRGGRSTSNSRGTSPVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVT
LMH1f_N_ABN10873_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 NSSRSNSRGGRSTSNSRGTSPVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVT
SM3A_NA_QQD78090_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4 NSSRSNSRGGRSTSNSRGTSPVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVT
SZ140324_N_AWH65906_1_2014_04_23_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 NSSRSNSRGGRSTSNSRGTSPVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVT
*****.******************************************************
B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 KKDAAAAKNKMRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 KKDAAAAKNKMRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
B07f_N_ABN10864_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 KKDAAAAKNKMRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
BtTp_GX2012_NA_AIA62359_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4 KKDAAAAKNKMRHKRVATKSFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
CZ01_N_AWH65884_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 KKDAAAAKNKMRHKRVATKSFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
HKU4_1_B04f_N_YP_001039960_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 KKDAAAAKNKMRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
CZ07_N_AWH65895_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 KKDAAAAKNKMRHKRVATKSFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
LMH1f_N_ABN10873_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 KKDAAAAKNKMRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
SM3A_NA_QQD78090_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4 KKDAAAAKNKMRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
SZ140324_N_AWH65906_1_2014_04_23_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 KKDAAAAKNKMRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
*******************.****************************************
B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLELLESNIDAYK
B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLELLESNIDAYK
B07f_N_ABN10864_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLELLESNIDAYK
BtTp_GX2012_NA_AIA62359_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLELLEANIDAYK
CZ01_N_AWH65884_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLELLEANIDAYK
HKU4_1_B04f_N_YP_001039960_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLELLESNIDAYK
CZ07_N_AWH65895_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLELLEANIDAYK
LMH1f_N_ABN10873_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLELLESNIDAYK
SM3A_NA_QQD78090_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLELLESNIDAYK
SZ140324_N_AWH65906_1_2014_04_23_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLELLESNIDAYK
*****************************************************:******
B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 TFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRVAGSITMRSGSLPALQDVTFD
B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 TFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRVAGSITMRSGSLPALQDVTFD
B07f_N_ABN10864_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 TFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRVAGSITMRSGSLPALQDVTFD
BtTp_GX2012_NA_AIA62359_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4 TFPKKERKPKTTEDGAVSSSSASQMEDVDAKPQRKPKSRVAGSITMRSGSSPALQDVTFD
CZ01_N_AWH65884_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 TFPKKERKPKTTEDGAVSSSSASQMEDVDAKPQRKPKSRVAGSITMRSGSSPALQDVTFD
HKU4_1_B04f_N_YP_001039960_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 TFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRVAGSITMRSGSLPALQDVTFD
CZ07_N_AWH65895_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 TFPKKERKPKTTEDGAVSSSSASQMEDVDAKPQRKPKSRVAGSITMRSGSSPALQDVTFD
LMH1f_N_ABN10873_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 TFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRVAGSITMRSGSSPALQDVTFN
SM3A_NA_QQD78090_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4 TFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRVAGSITMRSGSSPALQDVTFD
SZ140324_N_AWH65906_1_2014_04_23_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 TFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRVAGSITMRSGSSPALQDVTFN
*****************:******************************** ********:
B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 SEA
B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 SEA
B07f_N_ABN10864_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 SEA
BtTp_GX2012_NA_AIA62359_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4 SEA
CZ01_N_AWH65884_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 SEA
HKU4_1_B04f_N_YP_001039960_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 SEA
CZ07_N_AWH65895_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 SEA
LMH1f_N_ABN10873_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 SEA
SM3A_NA_QQD78090_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4 SEA
SZ140324_N_AWH65906_1_2014_04_23_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 SEA
***
>B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 ATGGCAACTCCTGCTGCACCTCGCACCATTAGTTTTGCTGATAATAATGACAACCAGCCTAATCAGCAGCAGCGTGGACGCGGAAGAAACCCTAAGCCACGACCTGCTCCCAATAACACTGTCTCCTGGTACACAGGGCTCACCCAACACGGTAAAAACCCGCTTGCCTTCCCTCCTGGACAGGGTGTACCTCTTAATGCCAATTCTACAACAGCCCAGAATGCTGGATACTGGCGGAGACAAGACCGGAAAATCAACACCGGTAATGGTGTTAAACAATTGGCTCCCAGATGGTTCTTCTACTACACTGGGACTGGACCAGAGGCTAATCTACCTTTTAGATCAGTCAAGGATGGCATCGTCTGGGTTTATGAAGAAGGTGCCACTGATGCTCCTTCAGTCTTTGGGACTCGCAACCCAGCAAATGATGCTGCTATCGTTTGCCAGTTTGCGCCAGGTACTCTCATTCCTAAAAACTTCCACATTGAAGGGACTGGGGGTAATAGTCAGTCATCTTCAAGAGCATCCTCCAACAGTAGGAACTCTTCTAGATCCAGTTCCAGAGGAGGACGAAGCACTTCTAACTCCAGAGGGACTTCCCCAGTTTCACATGGAGTCGGAAGTGCAGAATCCTTAGCTGCTCTGCCATTGCTTCTAGACTTGCAGAAGCGTTTGGCTGATCTTGAGTCTGGAAAGTCAAAGCAGCCTAAAGTTGTCACCAAAAAGGACGCTGCCGCTGCAAAAAATAAAATGCGCCATAAGCGTGTTGCCACCAAAGGTTTCAATGTAACTCAGGCTTTTGGTCTTCGTGGACCAGGCCCATTGCAGGGAAATTTTGGTGACATGAACTACAACAAGTTTGGTACTGAGGACCCTCGTTGGCCTCAGATGGCTGAACTTGCTCCTTCAGCTTCAGCTTTCATGAGTATGTCTCAATTTAAGCTTACCCATCAAAGCAATGATGACAAAGGTGATCCTATTTACTTTTTGTCATATTCAGGAGCAATTAAACTAGACCCTAAGAATCCCAACTACAAAAAGTGGCTGGAGCTTCTTGAGTCAAATATTGATGCTTACAAAACTTTCCCTAAGAAAGAGCGTAAGCCTAAAACTACAGAAGATGGAGCTGTTGCTTCTTCTTCAGCTAGTCAAATGGAGGATGTTGATGCTAAACCTCAGCGAAAGCCTAAAAGCCGAGTAGCAGGTAGCATTACCATGCGTTCTGGAAGCTTACCAGCTCTTCAGGACGTTACCTTCGATTCAGAGGCT >B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 ATGGCAACTCCTGCTGCACCTCGCACCATTAGTTTTGCTGATAATAATGACAACCAGCCTAATCAGCAGCAGCGTGGACGCGGAAGAAACCCTAAGCCACGACCTGCTCCCAATAACACTGTCTCCTGGTACACAGGGCTCACCCAACACGGTAAAAACCCGCTTGCCTTCCCTCCTGGACAGGGTGTACCTCTTAATGCCAATTCTACAACAGCCCAGAATGCTGGATACTGGCGGAGACAAGACCGGAAAATCAACACCGGTAATGGTGTTAAACAATTGGCTCCCAGATGGTTCTTCTACTACACTGGGACTGGACCAGAGGCTAATCTACCTTTTAGATCAGTCAAGGATGGCATCGTCTGGGTTTATGAAGAAGGTGCCACTGATGCTCCTTCAGTCTTTGGGACTCGCAACCCAGCAAATGATGCTGCTATCGTTTGCCAGTTTGCGCCAGGTACTCTCATTCCTAAAAACTTCCACATTGAAGGGACTGGGGGTAATAGTCAGTCATCTTCAAGAGCATCCTCCAACAGTAGGAACTCTTCTAGATCCAGTTCCAGAGGAGGACGAAGCACTTCTAACTCCAGAGGGACTTCCCCAGTTTCACATGGAGTCGGAAGTGCAGAATCCTTAGCTGCTCTGCCATTGCTTCTAGACTTGCAGAAGCGTTTGGCTGATCTTGAGTCTGGAAAGTCAAAGCAGCCTAAAGTTGTCACCAAAAAGGACGCTGCCGCTGCAAAAAATAAAATGCGCCATAAGCGTGTTGCCACCAAAGGTTTCAATGTAACTCAGGCTTTTGGTCTTCGTGGACCAGGCCCATTGCAGGGAAATTTTGGTGACATGAACTACAACAAGTTTGGTACTGAGGACCCTCGTTGGCCTCAGATGGCTGAACTTGCTCCTTCAGCTTCAGCTTTCATGAGTATGTCTCAATTTAAGCTTACCCATCAAAGCAATGATGACAAAGGTGATCCTATTTACTTTTTGTCATATTCAGGAGCAATTAAACTAGACCCTAAGAATCCCAACTACAAAAAGTGGCTGGAGCTTCTTGAGTCAAATATTGATGCTTACAAAACTTTCCCTAAGAAAGAGCGTAAGCCTAAAACTACAGAAGATGGAGCTGTTGCTTCTTCTTCAGCTAGTCAAATGGAGGATGTTGATGCTAAACCTCAGCGAAAGCCTAAAAGCCGAGTAGCAGGTAGCATTACCATGCGTTCTGGAAGCTTACCAGCTCTTCAGGACGTTACCTTCGATTCAGAGGCT >B07f_N_ABN10864_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 ATGGCAACTCCTGCTGCACCTCGCACCATTAGTTTTGCTGATAATAATGACAACCAGCCTAATCAGCAGCAGCGTGGACGCGGAAGAAACCCTAAGCCACGACCTGCTCCCAATAACACTGTCTCCTGGTACACAGGGCTCACCCAACACGGTAAAAACCCGCTTGCCTTCCCTCCTGGACAGGGTGTACCTCTTAATGCCAATTCTACAACAGCCCAGAATGCTGGATACTGGCGGAGACAAGACCGGAAAATCAACACCGGTAATGGTGTTAAACAATTGGCTCCCAGATGGTTCTTCTACTACACTGGGACTGGACCAGAGGCTAATCTACCTTTTAGATCAGTCAAGGATGGCATCGTCTGGGTTTATGAAGAAGGTGCCACTGATGCTCCTTCAGTCTTTGGGACTCGCAACCCAGCAAATGATGCTGCTATCGTTTGCCAGTTTGCGCCAGGTACTCTCATTCCTAAAAACTTCCACATTGAAGGGACTGGGGGTAATAGTCAGTCATCTTCAAGAGCATCCTCCAACAGTAGGAACTCTTCTAGATCCAGTTCCAGAGGAGGACGAAGCACTTCTAACTCCAGAGGGACTTCCCCAGTTTCACATGGAGTCGGAAGTGCAGAATCCTTAGCTGCTCTGCCATTGCTTCTAGACTTGCAGAAGCGTTTGGCTGATCTTGAGTCTGGAAAGTCAAAGCAGCCTAAAGTTGTCACCAAAAAGGACGCTGCCGCTGCAAAAAATAAAATGCGCCATAAGCGTGTTGCCACCAAAGGTTTCAATGTAACTCAGGCTTTTGGTCTTCGTGGACCAGGCCCATTGCAGGGAAATTTTGGTGACATGAACTACAACAAGTTTGGTACTGAGGACCCTCGTTGGCCTCAGATGGCTGAACTTGCTCCTTCAGCTTCAGCTTTCATGAGTATGTCTCAATTTAAGCTTACCCATCAAAGCAATGATGACAAAGGTGATCCTATTTACTTTTTGTCATATTCAGGAGCAATTAAACTAGACCCTAAGAATCCCAACTACAAAAAGTGGCTGGAGCTTCTTGAGTCAAATATTGATGCTTACAAAACTTTCCCTAAGAAAGAGCGTAAGCCTAAAACTACAGAAGATGGAGCTGTTGCTTCTTCTTCAGCTAGTCAAATGGAGGATGTTGATGCTAAACCTCAGCGAAAGCCTAAAAGCCGAGTAGCAGGTAGCATTACCATGCGTTCTGGAAGCTTACCAGCTCTTCAGGACGTTACCTTCGATTCAGAGGCT >BtTp_GX2012_NA_AIA62359_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4 ATGGCAACTCCTGCTGCACCCCGCACCATTAGTTTTGCTGATAATAATGACAACCAATCTAATCAGCAGCAGCGTGGACGCGGAAGAAACCCTAAGCCACGACCTGCTCCCAATAACACTGTCTCCTGGTACACAGGGCTCACCCAACACGGTAAAAACCCTCTTGCCTTCCCTCCTGGACAGGGTGTACCTCTTAATGCCAATTCTACAACAGCCCAGAATGCTGGATACTGGCGGAGACAAGACCGGAAAATCAATACCGGTAATGGTGTTAAACAATTGGCCCCTAGATGGTTCTTCTACTACACAGGGACTGGACCAGAGGCCAATTTACCTTTTAGATCAGTCAAGGATGGTATCGTCTGGGTTTATGAAGAGGGTGCCACAGATGCTCCTTCAGTCTTTGGGACTCGCAACCCAGCAAATGATGCTGCTATCGTTTGCCAGTTTGCGCCAGGTACTCTTATTCCTAAAAACTTCCACATTGAAGGGACTGGGGGTAATAGTCAGTCATCTTCAAGAGCATCCTCCAACAGCAGGAACTCTTCTAGATCCAATTCCAGAGGAGGACGAAGCACATCTAACTCCAGAGGGACTTCCCCAGTTTCACATGGAGTCGGAAGTGCAGAATCCTTAGCTGCTCTGCCATTGCTTCTAGACTTGCAGAAGCGTTTGGCTGATCTTGAGTCTGGAAAGTCAAAGCAGCCTAAAGTTGTCACTAAAAAGGATGCTGCTGCTGCAAAAAATAAAATGCGCCATAAGCGTGTTGCCACCAAAAGTTTCAATGTAACTCAAGCTTTTGGTCTTCGTGGACCAGGCCCGTTGCAGGGAAATTTTGGTGACATGAATTATAACAAGTTTGGTACTGAGGATCCACGTTGGCCTCAGATGGCTGAACTTGCTCCTTCAGCTTCAGCTTTCATGAGTATGTCTCAATTTAAGCTTACTCATCAAAGTAACGATGACAAAGGTGATCCTATTTACTTTTTGTCATACTCTGGAGCAATTAAACTAGACCCTAAGAATCCCAACTACAAAAAGTGGCTGGAGCTTCTTGAGGCAAATATTGATGCTTACAAAACTTTCCCTAAGAAAGAGCGTAAGCCTAAAACTACTGAAGACGGAGCTGTTTCTTCTTCTTCAGCTAGTCAAATGGAGGATGTTGATGCTAAACCTCAGCGAAAGCCCAAAAGCCGAGTAGCAGGTAGCATTACCATGCGTTCTGGAAGCTCACCAGCTCTTCAGGATGTAACCTTCGATTCAGAGGCT >CZ01_N_AWH65884_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 ATGGCAACTCCTGCTGCACCCCGCACCATTAGTTTTGCTGATAATAATGACAACCAATCTAATCAGCAGCAGCGTGGACGCGGAAGAAACCCTAAGCCACGACCTGCTCCCAATAACACTGTCTCCTGGTACACAGGGCTCACCCAACACGGTAAAAACCCTCTTGCCTTCCCTCCTGGACAGGGTGTACCTCTTAATGCCAATTCTACAACAGCCCAGAATGCTGGATACTGGCGGAGACAAGACCGGAAAATCAATACCGGTAATGGTGTTAAACAATTGGCCCCTAGATGGTTCTTCTACTACACAGGGACTGGACCAGAGGCCAATTTACCTTTTAGATCAGTCAAGGATGGTATCGTCTGGGTTTATGAAGAGGGTGCCACAGATGCTCCTTCAGTCTTTGGGACTCGCAACCCAGCAAATGATGCTGCTATCGTTTGCCAGTTTGCGCCAGGTACTCTTATTCCTAAAAACTTCCACATTGAAGGGACTGGGGGTAATAGTCAGTCATCTTCAAGAGCATCCTCCAACAGCAGGAACTCTTCTAGATCCAATTCCAGAGGAGGACGAAGCACATCTAACTCCAGAGGGACTTCCCCAGTTTCACATGGAGTCGGAAGTGCAGAATCCTTAGCTGCTCTGCCATTGCTTCTAGACTTGCAGAAGCGTTTGGCTGATCTTGAGTCTGGAAAGTCAAAGCAGCCTAAAGTTGTCACTAAAAAGGATGCTGCTGCTGCAAAAAATAAAATGCGCCATAAGCGTGTTGCCACCAAAAGTTTCAATGTAACTCAAGCTTTTGGTCTTCGTGGACCAGGCCCGTTGCAGGGAAATTTTGGTGACATGAATTATAACAAGTTTGGTACTGAGGATCCACGTTGGCCTCAGATGGCTGAACTTGCTCCTTCAGCTTCAGCTTTCATGAGTATGTCTCAATTTAAGCTTACTCATCAAAGTAACGATGACAAAGGTGATCCTATTTACTTTTTGTCATACTCTGGAGCAATTAAACTAGACCCTAAGAATCCCAACTACAAAAAGTGGCTGGAGCTTCTTGAGGCAAATATTGATGCTTACAAAACTTTCCCTAAGAAAGAGCGTAAGCCTAAAACTACTGAAGACGGAGCTGTTTCTTCTTCTTCAGCTAGTCAAATGGAGGATGTTGATGCTAAACCTCAGCGAAAGCCCAAAAGCCGAGTAGCAGGTAGCATTACCATGCGTTCTGGAAGCTCACCAGCTCTTCAGGATGTAACCTTCGATTCAGAGGCT >HKU4_1_B04f_N_YP_001039960_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 ATGGCAACTCCTGCTGCACCTCGCACCATTAGTTTTGCTGATAATAATGACAACCAGCCTAATCAGCAGCAGCGTGGACGCGGAAGAAACCCTAAGCCACGACCTGCTCCCAATAACACTGTCTCCTGGTACACAGGGCTCACCCAACACGGTAAAAACCCGCTTGCCTTCCCTCCTGGACAGGGTGTACCTCTTAATGCCAATTCTACAACAGCCCAGAATGCTGGATACTGGCGGAGACAAGACCGGAAAATCAACACCGGTAATGGTGTTAAACAATTGGCTCCCAGATGGTTCTTCTACTACACTGGGACTGGACCAGAGGCTAATCTACCTTTTAGATCAGTCAAGGATGGCATCGTCTGGGTTTATGAAGAAGGTGCCACTGATGCTCCTTCAGTCTTTGGGACTCGCAACCCAGCAAATGATGCTGCTATCGTTTGCCAGTTTGCGCCAGGTACTCTCATTCCTAAAAACTTCCACATTGAAGGGACTGGGGGTAATAGTCAGTCATCTTCAAGAGCATCCTCCAACAGTAGGAACTCTTCTAGATCCAGTTCCAGAGGAGGACGAAGCACTTCTAACTCCAGAGGGACTTCCCCAGTTTCACATGGAGTCGGAAGTGCAGAATCCTTAGCTGCTCTGCCATTGCTTCTAGACTTGCAGAAGCGTTTGGCTGATCTTGAGTCTGGAAAGTCAAAGCAGCCTAAAGTTGTCACCAAAAAGGACGCTGCCGCTGCAAAAAATAAAATGCGCCATAAGCGTGTTGCCACCAAAGGTTTCAATGTAACTCAGGCTTTTGGTCTTCGTGGACCAGGCCCATTGCAGGGAAATTTTGGTGACATGAACTACAACAAGTTTGGTACTGAGGACCCTCGTTGGCCTCAGATGGCTGAACTTGCTCCTTCAGCTTCAGCTTTCATGAGTATGTCTCAATTTAAGCTTACCCATCAAAGCAATGATGACAAAGGTGATCCTATTTACTTTTTGTCATATTCAGGAGCAATTAAACTAGACCCTAAGAATCCCAACTACAAAAAGTGGCTGGAGCTTCTTGAGTCAAATATTGATGCTTACAAAACTTTCCCTAAGAAAGAGCGTAAGCCTAAAACTACAGAAGATGGAGCTGTTGCTTCTTCTTCAGCTAGTCAAATGGAGGATGTTGATGCTAAACCTCAGCGAAAGCCTAAAAGCCGAGTAGCAGGTAGCATTACCATGCGTTCTGGAAGCTTACCAGCTCTTCAGGACGTTACCTTCGATTCAGAGGCT >CZ07_N_AWH65895_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 ATGGCAACTCCTGCTGCACCCCGCACCATTAGTTTTGCTGATAATAATGACAACCAATCTAATCAGCAGCAGCGTGGACGCGGAAGAAACCCTAAGCCACGACCTGCTCCCAATAACACTGTCTCCTGGTACACAGGGCTCACCCAACACGGTAAAAACCCTCTTGCCTTCCCTCCTGGACAGGGTGTACCTCTTAATGCCAATTCTACAACAGCCCAGAATGCTGGATACTGGCGGAGACAAGACCGGAAAATCAATACCGGTAATGGTGTTAAACAATTGGCCCCTAGATGGTTCTTCTACTACACAGGGACTGGACCAGAGGCCAATTTACCTTTTAGATCAGTCAAGGATGGTATCGTCTGGGTTTATGAAGAGGGTGCCACAGATGCTCCTTCAGTCTTTGGGACTCGCAACCCAGCAAATGATGCTGCTATCGTTTGCCAGTTTGCGCCAGGTACTCTTATTCCTAAAAACTTCCACATTGAAGGGACTGGGGGTAATAGTCAGTCATCTTCAAGAGCATCCTCCAACAGCAGGAACTCTTCTAGATCCAATTCCAGAGGAGGACGAAGCACATCTAACTCCAGAGGGACTTCCCCAGTTTCACATGGAGTCGGAAGTGCAGAATCCTTAGCTGCTCTGCCATTGCTTCTAGACTTGCAGAAGCGTTTGGCTGATCTTGAGTCTGGAAAGTCAAAGCAGCCTAAAGTTGTCACTAAAAAGGATGCTGCTGCTGCAAAAAATAAAATGCGCCATAAGCGTGTTGCCACCAAAAGTTTCAATGTAACTCAAGCTTTTGGTCTTCGTGGACCAGGCCCGTTGCAGGGAAATTTTGGTGACATGAATTATAACAAGTTTGGTACTGAGGATCCACGTTGGCCTCAGATGGCTGAACTTGCTCCTTCAGCTTCAGCTTTCATGAGTATGTCTCAATTTAAGCTTACTCATCAAAGTAACGATGACAAAGGTGATCCTATTTACTTTTTGTCATACTCTGGAGCAATTAAACTAGACCCTAAGAATCCCAACTACAAAAAGTGGCTGGAGCTTCTTGAGGCAAATATTGATGCTTACAAAACTTTCCCTAAGAAAGAGCGTAAGCCTAAAACTACTGAAGACGGAGCTGTTTCTTCTTCTTCAGCTAGTCAAATGGAGGATGTTGATGCTAAACCTCAGCGAAAGCCCAAAAGCCGAGTAGCAGGTAGCATTACCATGCGTTCTGGAAGCTCACCAGCTCTTCAGGATGTAACCTTCGATTCAGAGGCT >LMH1f_N_ABN10873_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 ATGGCAACTCCTGCTGCACCTCGCACCATTAGTTTTGCTGATAATAATGACAACCAGCCTAATCAGCAGCAGCGTGGACGCGGAAGAAACCCTAAGCCACGACCTGCTCCCAATAACACTGTCTCCTGGTACACAGGGCTCACCCAACACGGTAAAAACCCGCTTGCCTTCCCTCCTGGACAGGGTGTACCTCTTAATGCCAATTCTACAACAGCCCAAAATGCTGGATACTGGCGGAGACAAGACCGGAAAATCAACACCGGTAATGGTGTTAAACAATTGGCTCCCAGATGGTTCTTCTACTACACTGGGACTGGACCAGAGGCTAATCTACCTTTTAGATCAGTCAAGGATGGCATCGTCTGGGTTTATGAAGAAGGTGCCACTGATGCTCCTTCAGTCTTTGGGACTCGCAACCCAGCAAATGATGCTGCTATCGTTTGCCAGTTTGCGCCAGGTACTCTCATTCCTAAAAACTTCCACATTGAAGGGACTGGGGGTAATAGTCAGTCATCTTCAAGAGCATCCTCCAACAGTAGGAACTCTTCTAGATCCAATTCCAGAGGAGGACGAAGCACTTCTAACTCCAGAGGGACTTCCCCAGTTTCACATGGAGTCGGAAGTGCAGAATCCTTAGCTGCTCTGCCATTGCTTCTAGACTTGCAGAAGCGTTTGGCTGATCTTGAGTCTGGAAAGTCAAAGCAGCCTAAAGTTGTCACTAAAAAGGACGCTGCCGCTGCAAAAAATAAAATGCGCCATAAGCGTGTTGCCACCAAAGGTTTCAATGTAACTCAGGCTTTTGGTCTTCGTGGACCAGGCCCATTGCAGGGAAATTTTGGTGACATGAACTACAACAAGTTTGGTACTGAGGACCCTCGTTGGCCTCAGATGGCTGAACTTGCTCCTTCAGCTTCAGCTTTCATGAGTATGTCTCAATTTAAGCTTACCCATCAAAGCAATGATGACAAAGGTGATCCTATTTACTTTTTGTCATATTCAGGAGCAATTAAACTAGACCCTAAGAATCCCAACTACAAAAAGTGGCTGGAGCTTCTTGAGTCAAATATTGATGCTTACAAAACTTTCCCTAAGAAAGAGCGTAAGCCTAAAACTACAGAAGATGGAGCTGTTGCTTCTTCTTCAGCTAGTCAAATGGAGGATGTTGATGCTAAACCTCAGCGAAAGCCTAAAAGCCGAGTAGCAGGTAGCATTACCATGCGTTCTGGAAGCTCACCAGCTCTTCAGGACGTTACCTTCAATTCAGAGGCT >SM3A_NA_QQD78090_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4 ATGGCAACTCCTGCTGCACCTCGCACCATTAGTTTTGCTGATAATAATGACAACCAACCTAATCAGCAGCAGCGTGGACGCGGAAGAAACCCTAAGCCACGACCTGCTCCCAATAACACTGTCTCCTGGTACACAGGGCTCACCCAACACGGTAAAAACCCGCTTGCCTTCCCTCCTGGACAGGGTGTACCTCTTAATGCCAATTCTACAACAGCCCAGAATGCTGGATACTGGCGGAGACAAGACCGGAAAATCAACACCGGTAATGGTGTTAAACAATTGGCTCCCAGATGGTTCTTCTACTACACTGGGACTGGACCAGAGGCTAATCTACCTTTTAGATCAGTCAAGGATGGCATCGTCTGGGTTTATGAAGAAGGTGCCACTGATGCTCCTTCAGTCTTTGGGACTCGCAACCCAGCAAATGATGCTGCTATCGTTTGCCAGTTTGCGCCAGGTACTCTCATTCCTAAAAACTTCCACATTGAAGGGACTGGGGGTAATAGTCAGTCATCTTCAAGAGCATCCTCCAACAGTAGGAACTCTTCTAGATCCAATTCCAGAGGAGGACGAAGCACTTCTAACTCCAGAGGGACTTCCCCAGTTTCACATGGAGTCGGAAGTGCAGAATCCTTAGCTGCTCTGCCATTGCTTCTAGACTTGCAGAAGCGTTTGGCTGATCTTGAGTCTGGAAAGTCAAAGCAGCCTAAAGTTGTCACCAAAAAGGACGCTGCCGCTGCAAAAAATAAAATGCGCCATAAGCGTGTTGCCACCAAAGGTTTCAATGTAACTCAGGCTTTTGGTCTTCGTGGACCAGGCCCATTGCAGGGAAATTTTGGTGACATGAACTACAACAAGTTTGGTACTGAGGACCCTCGTTGGCCTCAGATGGCTGAACTTGCTCCTTCAGCTTCAGCTTTCATGAGTATGTCTCAATTTAAGCTTACTCATCAAAGCAATGATGACAAAGGTGATCCTATTTACTTTTTGTCATATTCAGGAGCAATTAAACTAGACCCTAAGAATCCCAACTACAAAAAGTGGCTGGAGCTTCTTGAGTCAAATATTGATGCTTACAAAACTTTCCCTAAGAAAGAGCGTAAGCCTAAAACTACAGAAGATGGAGCTGTTGCTTCTTCTTCAGCTAGTCAAATGGAGGATGTTGATGCTAAACCTCAGCGAAAGCCTAAAAGCCGAGTAGCAGGTAGCATTACCATGCGTTCAGGAAGCTCACCAGCTCTTCAGGACGTTACCTTCGATTCAGAGGCT >SZ140324_N_AWH65906_1_2014_04_23_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 ATGGCAACTCCTGCTGCACCTCGCACCATTAGTTTTGCTGATAATAATGACAACCAGCCTAATCAGCAGCAGCGTGGACGCGGAAGAAACCCTAAGCCACGACCTGCTCCCAATAACACTGTCTCCTGGTACACAGGGCTCACCCAACACGGTAAAAACCCGCTTGCCTTCCCTCCTGGACAGGGTGTACCTCTTAATGCCAATTCTACAACAGCCCAGAATGCTGGATACTGGCGGAGACAAGACCGGAAAATCAACACCGGTAATGGTGTTAAACAATTGGCTCCCAGATGGTTCTTCTACTACACTGGGACTGGACCAGAGGCTAATCTACCTTTTAGATCAGTCAAGGATGGCATCGTCTGGGTTTATGAAGAAGGTGCCACTGATGCTCCTTCAGTCTTTGGGACTCGCAACCCAGCAAATGATGCTGCTATCGTTTGCCAGTTTGCGCCAGGTACTCTCATTCCTAAAAACTTCCACATTGAAGGGACTGGGGGTAATAGTCAGTCATCTTCAAGAGCATCCTCCAACAGTAGGAACTCTTCTAGATCCAATTCCAGAGGAGGACGAAGCACATCTAACTCCAGAGGGACTTCCCCAGTTTCACATGGAGTCGGAAGTGCAGAATCCTTAGCTGCTCTGCCATTGCTTCTAGACTTGCAGAAGCGTTTGGCTGATCTTGAGTCTGGAAAGTCAAAGCAGCCTAAAGTTGTCACCAAAAAGGACGCTGCCGCTGCAAAAAATAAAATGCGCCATAAGCGTGTTGCCACCAAAGGTTTCAATGTAACTCAGGCTTTTGGTCTTCGTGGACCAGGCCCATTGCAGGGAAATTTTGGTGACATGAACTACAACAAGTTTGGTACTGAGGACCCTCGTTGGCCTCAGATGGCTGAACTTGCTCCTTCAGCTTCAGCTTTCATGAGTATGTCTCAATTTAAGCTTACTCATCAAAGCAATGATGACAAAGGTGATCCTATTTACTTTTTGTCATACTCAGGAGCAATTAAACTAGACCCTAAGAATCCCAACTACAAAAAGTGGCTGGAGCTTCTTGAGTCAAATATTGATGCTTACAAAACTTTCCCTAAGAAAGAGCGTAAGCCTAAAACTACAGAAGATGGAGCTGTTGCTTCTTCTTCAGCTAGTCAAATGGAGGATGTTGATGCTAAACCTCAGCGAAAGCCTAAAAGCCGAGTAGCAGGTAGCATTACCATGCGTTCTGGAAGCTCACCAGCTCTTCAGGACGTTACCTTCAATTCAGAGGCT
>B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQHGKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFFYYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQFAPGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSSSRGGRSTSNSRGTSPVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNKMRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAELAPSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLELLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRVAGSITMRSGSLPALQDVTFDSEA >B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQHGKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFFYYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQFAPGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSSSRGGRSTSNSRGTSPVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNKMRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAELAPSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLELLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRVAGSITMRSGSLPALQDVTFDSEA >B07f_N_ABN10864_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQHGKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFFYYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQFAPGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSSSRGGRSTSNSRGTSPVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNKMRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAELAPSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLELLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRVAGSITMRSGSLPALQDVTFDSEA >BtTp_GX2012_NA_AIA62359_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQSNQQQRGRGRNPKPRPAPNNTVSWYTGLTQHGKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFFYYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQFAPGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTSPVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNKMRHKRVATKSFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAELAPSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLELLEANIDAYKTFPKKERKPKTTEDGAVSSSSASQMEDVDAKPQRKPKSRVAGSITMRSGSSPALQDVTFDSEA >CZ01_N_AWH65884_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQSNQQQRGRGRNPKPRPAPNNTVSWYTGLTQHGKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFFYYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQFAPGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTSPVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNKMRHKRVATKSFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAELAPSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLELLEANIDAYKTFPKKERKPKTTEDGAVSSSSASQMEDVDAKPQRKPKSRVAGSITMRSGSSPALQDVTFDSEA >HKU4_1_B04f_N_YP_001039960_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQHGKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFFYYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQFAPGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSSSRGGRSTSNSRGTSPVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNKMRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAELAPSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLELLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRVAGSITMRSGSLPALQDVTFDSEA >CZ07_N_AWH65895_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQSNQQQRGRGRNPKPRPAPNNTVSWYTGLTQHGKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFFYYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQFAPGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTSPVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNKMRHKRVATKSFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAELAPSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLELLEANIDAYKTFPKKERKPKTTEDGAVSSSSASQMEDVDAKPQRKPKSRVAGSITMRSGSSPALQDVTFDSEA >LMH1f_N_ABN10873_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQHGKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFFYYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQFAPGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTSPVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNKMRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAELAPSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLELLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRVAGSITMRSGSSPALQDVTFNSEA >SM3A_NA_QQD78090_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQHGKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFFYYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQFAPGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTSPVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNKMRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAELAPSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLELLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRVAGSITMRSGSSPALQDVTFDSEA >SZ140324_N_AWH65906_1_2014_04_23_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQHGKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFFYYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQFAPGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTSPVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNKMRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAELAPSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLELLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRVAGSITMRSGSSPALQDVTFNSEA
Reading sequence file /data//pss_subsets/B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result/original_alignment/codeml/fasta/B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result.1
Found 10 sequences of length 1269
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 1.6%
Found 41 informative sites.
Writing alignment of informative sites to: Phi.inf.sites
Writing list of informative sites to: Phi.inf.list
Calculating all pairwise incompatibilities...
Done: 0.0%100.0%
Using a window size of 80 with k as 3
Calculating analytical mean and variance
Doing permutation test for PHI
Doing permutation test for NSS
Doing Permutation test for MAXCHI
Writing alignment of polymorphic unambig sites to: Phi.poly.sites
Window size is 28 polymorphic sites
**p-Value(s)**
----------
NSS: 1.30e-01 (1000 permutations)
Max Chi^2: 9.92e-01 (1000 permutations)
PHI (Permutation): 5.70e-01 (1000 permutations)
PHI (Normal): 3.41e-01
#NEXUS
[ID: 1821196272]
begin taxa;
dimensions ntax=10;
taxlabels
B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4
SZ140324_N_AWH65906_1_2014_04_23_China_Unknown_Tylonycteris_bat_coronavirus_HKU4
B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4
B07f_N_ABN10864_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4
BtTp_GX2012_NA_AIA62359_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4
CZ01_N_AWH65884_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4
HKU4_1_B04f_N_YP_001039960_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4
CZ07_N_AWH65895_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4
LMH1f_N_ABN10873_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4
SM3A_NA_QQD78090_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4
;
end;
begin trees;
translate
1 B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4,
2 SZ140324_N_AWH65906_1_2014_04_23_China_Unknown_Tylonycteris_bat_coronavirus_HKU4,
3 B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4,
4 B07f_N_ABN10864_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4,
5 BtTp_GX2012_NA_AIA62359_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4,
6 CZ01_N_AWH65884_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4,
7 HKU4_1_B04f_N_YP_001039960_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4,
8 CZ07_N_AWH65895_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4,
9 LMH1f_N_ABN10873_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4,
10 SM3A_NA_QQD78090_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 = (1:5.268702e-04,3:4.978961e-04,4:5.477092e-04,7:5.295036e-04,(((2:1.300742e-03,(5:5.304514e-04,6:5.338792e-04,8:5.102497e-04)1.000:3.489322e-02)0.745:2.235441e-03,10:2.188419e-03)0.587:1.395555e-03,9:2.653038e-03)0.953:2.277412e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:5.268702e-04,3:4.978961e-04,4:5.477092e-04,7:5.295036e-04,(((2:1.300742e-03,(5:5.304514e-04,6:5.338792e-04,8:5.102497e-04):3.489322e-02):2.235441e-03,10:2.188419e-03):1.395555e-03,9:2.653038e-03):2.277412e-03);
end;
Estimated marginal likelihoods for runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
(Use the harmonic mean for Bayes factor comparisons of models)
(Values are saved to the file /data/mrbayes_input.nex.lstat)
Run Arithmetic mean Harmonic mean
--------------------------------------
1 -2017.90 -2035.61
2 -2017.74 -2037.77
--------------------------------------
TOTAL -2017.81 -2037.19
--------------------------------------
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} 0.058485 0.000241 0.033125 0.088984 0.056312 811.79 815.68 1.000
r(A<->C){all} 0.018134 0.000324 0.000001 0.053721 0.013210 715.03 902.11 1.000
r(A<->G){all} 0.233928 0.006113 0.100618 0.393894 0.228068 460.08 496.97 1.000
r(A<->T){all} 0.156151 0.002969 0.053713 0.257008 0.150036 465.32 489.94 1.001
r(C<->G){all} 0.023321 0.000489 0.000010 0.068870 0.016589 630.42 749.46 1.001
r(C<->T){all} 0.513373 0.007240 0.356274 0.687321 0.514469 449.42 487.38 1.000
r(G<->T){all} 0.055093 0.001533 0.000041 0.127008 0.048357 451.37 477.14 1.000
pi(A){all} 0.283483 0.000156 0.259508 0.307378 0.283571 1259.80 1282.78 1.000
pi(C){all} 0.244555 0.000144 0.219867 0.265853 0.244344 1076.21 1204.90 1.000
pi(G){all} 0.218897 0.000126 0.196741 0.240482 0.218843 1086.71 1183.31 1.000
pi(T){all} 0.253065 0.000143 0.229424 0.275926 0.252768 1219.60 1278.24 1.000
alpha{1,2} 0.117761 0.047519 0.000048 0.344117 0.069431 818.98 909.14 1.000
alpha{3} 2.357981 1.864415 0.231766 5.058243 2.099297 1261.27 1307.52 1.000
pinvar{all} 0.768723 0.016427 0.510424 0.907126 0.807058 584.46 614.04 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
CODONML (in paml version 4.9h, March 2018) /data/fasta_checked/B05f_N_ABN10855_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 = 423
Codon usage in sequences
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 9 9 9 9 9 9 | Ser TCT 10 10 10 13 13 10 | Tyr TAT 2 2 2 2 2 2 | Cys TGT 0 0 0 0 0 0
TTC 8 8 8 8 8 8 | TCC 8 8 8 8 8 8 | TAC 8 8 8 8 8 8 | TGC 1 1 1 1 1 1
Leu TTA 2 2 2 2 2 2 | TCA 13 13 13 12 12 13 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 6 6 6 6 6 6 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 6 6 6 6 6 6
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 10 10 10 11 11 10 | Pro CCT 21 21 21 19 19 21 | His CAT 3 3 3 3 3 3 | Arg CGT 7 7 7 7 7 7
CTC 2 2 2 1 1 2 | CCC 3 3 3 4 4 3 | CAC 2 2 2 2 2 2 | CGC 4 4 4 4 4 4
CTA 3 3 3 2 2 3 | CCA 9 9 9 9 9 9 | Gln CAA 6 6 6 8 8 6 | CGA 4 4 4 4 4 4
CTG 2 2 2 2 2 2 | CCG 1 1 1 1 1 1 | CAG 15 15 15 13 13 15 | CGG 2 2 2 2 2 2
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 7 7 7 7 7 7 | Thr ACT 14 14 14 14 14 14 | Asn AAT 17 17 17 19 19 17 | Ser AGT 7 7 7 7 7 7
ATC 3 3 3 3 3 3 | ACC 8 8 8 6 6 8 | AAC 13 13 13 12 12 13 | AGC 5 5 5 5 5 5
ATA 0 0 0 0 0 0 | ACA 4 4 4 6 6 4 | Lys AAA 17 17 17 17 17 17 | Arg AGA 8 8 8 8 8 8
Met ATG 8 8 8 8 8 8 | ACG 0 0 0 0 0 0 | AAG 14 14 14 14 14 14 | AGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 9 9 9 8 8 9 | Ala GCT 26 26 26 24 24 26 | Asp GAT 12 12 12 14 14 12 | Gly GGT 13 13 13 13 13 13
GTC 6 6 6 6 6 6 | GCC 6 6 6 7 7 6 | GAC 9 9 9 7 7 9 | GGC 2 2 2 1 1 2
GTA 3 3 3 4 4 3 | GCA 8 8 8 9 9 8 | Glu GAA 6 6 6 5 5 6 | GGA 15 15 15 15 15 15
GTG 0 0 0 0 0 0 | GCG 1 1 1 1 1 1 | GAG 8 8 8 9 9 8 | GGG 6 6 6 6 6 6
--------------------------------------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------
Phe TTT 9 9 9 9 | Ser TCT 13 10 9 10 | Tyr TAT 2 2 2 1 | Cys TGT 0 0 0 0
TTC 8 8 8 8 | TCC 8 8 8 8 | TAC 8 8 8 9 | TGC 1 1 1 1
Leu TTA 2 1 1 1 | TCA 12 14 15 14 | *** TAA 0 0 0 0 | *** TGA 0 0 0 0
TTG 6 6 6 6 | TCG 0 0 0 0 | TAG 0 0 0 0 | Trp TGG 6 6 6 6
------------------------------------------------------------------------------------------------------
Leu CTT 11 10 10 10 | Pro CCT 19 21 21 21 | His CAT 3 3 3 3 | Arg CGT 7 7 7 7
CTC 1 2 2 2 | CCC 4 3 3 3 | CAC 2 2 2 2 | CGC 4 4 4 4
CTA 2 3 3 3 | CCA 9 9 9 9 | Gln CAA 8 7 7 6 | CGA 4 4 4 4
CTG 2 2 2 2 | CCG 1 1 1 1 | CAG 13 14 14 15 | CGG 2 2 2 2
------------------------------------------------------------------------------------------------------
Ile ATT 7 7 7 7 | Thr ACT 14 15 15 14 | Asn AAT 19 19 18 19 | Ser AGT 7 6 6 6
ATC 3 3 3 3 | ACC 6 7 7 7 | AAC 12 13 13 13 | AGC 5 5 5 5
ATA 0 0 0 0 | ACA 6 4 4 5 | Lys AAA 17 17 17 17 | Arg AGA 8 8 8 8
Met ATG 8 8 8 8 | ACG 0 0 0 0 | AAG 14 14 14 14 | AGG 1 1 1 1
------------------------------------------------------------------------------------------------------
Val GTT 8 9 9 9 | Ala GCT 24 26 26 26 | Asp GAT 14 11 12 11 | Gly GGT 13 13 13 13
GTC 6 6 6 6 | GCC 7 6 6 6 | GAC 7 9 9 9 | GGC 1 2 2 2
GTA 4 3 3 3 | GCA 9 8 8 8 | Glu GAA 5 6 6 6 | GGA 15 15 15 15
GTG 0 0 0 0 | GCG 1 1 1 1 | GAG 9 8 8 8 | GGG 6 6 6 6
------------------------------------------------------------------------------------------------------
Codon position x base (3x4) table for each sequence.
#1: C1
position 1: T:0.17258 C:0.22222 A:0.29787 G:0.30733
position 2: T:0.18440 C:0.31206 A:0.31206 G:0.19149
position 3: T:0.39480 C:0.20804 A:0.23168 G:0.16548
Average T:0.25059 C:0.24744 A:0.28054 G:0.22143
#2: C2
position 1: T:0.17258 C:0.22222 A:0.29787 G:0.30733
position 2: T:0.18440 C:0.31206 A:0.31206 G:0.19149
position 3: T:0.39480 C:0.20804 A:0.23168 G:0.16548
Average T:0.25059 C:0.24744 A:0.28054 G:0.22143
#3: C3
position 1: T:0.17258 C:0.22222 A:0.29787 G:0.30733
position 2: T:0.18440 C:0.31206 A:0.31206 G:0.19149
position 3: T:0.39480 C:0.20804 A:0.23168 G:0.16548
Average T:0.25059 C:0.24744 A:0.28054 G:0.22143
#4: C4
position 1: T:0.17730 C:0.21749 A:0.30024 G:0.30496
position 2: T:0.18203 C:0.31442 A:0.31442 G:0.18913
position 3: T:0.40189 C:0.19622 A:0.23877 G:0.16312
Average T:0.25374 C:0.24271 A:0.28448 G:0.21907
#5: C5
position 1: T:0.17730 C:0.21749 A:0.30024 G:0.30496
position 2: T:0.18203 C:0.31442 A:0.31442 G:0.18913
position 3: T:0.40189 C:0.19622 A:0.23877 G:0.16312
Average T:0.25374 C:0.24271 A:0.28448 G:0.21907
#6: C6
position 1: T:0.17258 C:0.22222 A:0.29787 G:0.30733
position 2: T:0.18440 C:0.31206 A:0.31206 G:0.19149
position 3: T:0.39480 C:0.20804 A:0.23168 G:0.16548
Average T:0.25059 C:0.24744 A:0.28054 G:0.22143
#7: C7
position 1: T:0.17730 C:0.21749 A:0.30024 G:0.30496
position 2: T:0.18203 C:0.31442 A:0.31442 G:0.18913
position 3: T:0.40189 C:0.19622 A:0.23877 G:0.16312
Average T:0.25374 C:0.24271 A:0.28448 G:0.21907
#8: C8
position 1: T:0.17258 C:0.22222 A:0.30024 G:0.30496
position 2: T:0.18203 C:0.31442 A:0.31442 G:0.18913
position 3: T:0.39716 C:0.20567 A:0.23404 G:0.16312
Average T:0.25059 C:0.24744 A:0.28290 G:0.21907
#9: C9
position 1: T:0.17258 C:0.22222 A:0.29787 G:0.30733
position 2: T:0.18203 C:0.31442 A:0.31442 G:0.18913
position 3: T:0.39480 C:0.20567 A:0.23641 G:0.16312
Average T:0.24980 C:0.24744 A:0.28290 G:0.21986
#10: C10
position 1: T:0.17258 C:0.22222 A:0.30024 G:0.30496
position 2: T:0.18203 C:0.31442 A:0.31442 G:0.18913
position 3: T:0.39243 C:0.20804 A:0.23404 G:0.16548
Average T:0.24901 C:0.24823 A:0.28290 G:0.21986
Sums of codon usage counts
------------------------------------------------------------------------------
Phe F TTT 90 | Ser S TCT 108 | Tyr Y TAT 19 | Cys C TGT 0
TTC 80 | TCC 80 | TAC 81 | TGC 10
Leu L TTA 17 | TCA 131 | *** * TAA 0 | *** * TGA 0
TTG 60 | TCG 0 | TAG 0 | Trp W TGG 60
------------------------------------------------------------------------------
Leu L CTT 103 | Pro P CCT 204 | His H CAT 30 | Arg R CGT 70
CTC 17 | CCC 33 | CAC 20 | CGC 40
CTA 27 | CCA 90 | Gln Q CAA 68 | CGA 40
CTG 20 | CCG 10 | CAG 142 | CGG 20
------------------------------------------------------------------------------
Ile I ATT 70 | Thr T ACT 142 | Asn N AAT 181 | Ser S AGT 67
ATC 30 | ACC 71 | AAC 127 | AGC 50
ATA 0 | ACA 47 | Lys K AAA 170 | Arg R AGA 80
Met M ATG 80 | ACG 0 | AAG 140 | AGG 10
------------------------------------------------------------------------------
Val V GTT 87 | Ala A GCT 254 | Asp D GAT 124 | Gly G GGT 130
GTC 60 | GCC 63 | GAC 84 | GGC 17
GTA 33 | GCA 83 | Glu E GAA 57 | GGA 150
GTG 0 | GCG 10 | GAG 83 | GGG 60
------------------------------------------------------------------------------
Codon position x base (3x4) table, overall
position 1: T:0.17400 C:0.22080 A:0.29905 G:0.30615
position 2: T:0.18298 C:0.31348 A:0.31348 G:0.19007
position 3: T:0.39693 C:0.20402 A:0.23475 G:0.16430
Average T:0.25130 C:0.24610 A:0.28243 G:0.22017
Model 1: NearlyNeutral (2 categories)
TREE # 1: (1, 2, 3, 6, (((10, (4, 5, 7)), 9), 8)); MP score: 46
lnL(ntime: 14 np: 17): -1930.092008 +0.000000
11..1 11..2 11..3 11..6 11..12 12..13 13..14 14..10 14..15 15..4 15..5 15..7 13..9 12..8
0.000004 0.000004 0.000004 0.000004 0.005532 0.002407 0.005667 0.001087 0.093874 0.000004 0.000004 0.000004 0.005557 0.006726 4.137297 0.927101 0.000001
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.120877
(1: 0.000004, 2: 0.000004, 3: 0.000004, 6: 0.000004, (((10: 0.001087, (4: 0.000004, 5: 0.000004, 7: 0.000004): 0.093874): 0.005667, 9: 0.005557): 0.002407, 8: 0.006726): 0.005532);
(C1: 0.000004, C2: 0.000004, C3: 0.000004, C6: 0.000004, (((C10: 0.001087, (C4: 0.000004, C5: 0.000004, C7: 0.000004): 0.093874): 0.005667, C9: 0.005557): 0.002407, C8: 0.006726): 0.005532);
Detailed output identifying parameters
kappa (ts/tv) = 4.13730
MLEs of dN/dS (w) for site classes (K=2)
p: 0.92710 0.07290
w: 0.00000 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
11..1 0.000 924.0 345.0 0.0729 0.0000 0.0000 0.0 0.0
11..2 0.000 924.0 345.0 0.0729 0.0000 0.0000 0.0 0.0
11..3 0.000 924.0 345.0 0.0729 0.0000 0.0000 0.0 0.0
11..6 0.000 924.0 345.0 0.0729 0.0000 0.0000 0.0 0.0
11..12 0.006 924.0 345.0 0.0729 0.0004 0.0057 0.4 2.0
12..13 0.002 924.0 345.0 0.0729 0.0002 0.0025 0.2 0.9
13..14 0.006 924.0 345.0 0.0729 0.0004 0.0058 0.4 2.0
14..10 0.001 924.0 345.0 0.0729 0.0001 0.0011 0.1 0.4
14..15 0.094 924.0 345.0 0.0729 0.0070 0.0963 6.5 33.2
15..4 0.000 924.0 345.0 0.0729 0.0000 0.0000 0.0 0.0
15..5 0.000 924.0 345.0 0.0729 0.0000 0.0000 0.0 0.0
15..7 0.000 924.0 345.0 0.0729 0.0000 0.0000 0.0 0.0
13..9 0.006 924.0 345.0 0.0729 0.0004 0.0057 0.4 2.0
12..8 0.007 924.0 345.0 0.0729 0.0005 0.0069 0.5 2.4
Time used: 0:11
Model 2: PositiveSelection (3 categories)
TREE # 1: (1, 2, 3, 6, (((10, (4, 5, 7)), 9), 8)); MP score: 46
lnL(ntime: 14 np: 19): -1929.144794 +0.000000
11..1 11..2 11..3 11..6 11..12 12..13 13..14 14..10 14..15 15..4 15..5 15..7 13..9 12..8
0.000004 0.000004 0.000004 0.000004 0.006051 0.002407 0.006041 0.000004 0.097359 0.000004 0.000004 0.000004 0.006093 0.006017 4.358813 0.993791 0.000000 0.045013 7.780014
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.124000
(1: 0.000004, 2: 0.000004, 3: 0.000004, 6: 0.000004, (((10: 0.000004, (4: 0.000004, 5: 0.000004, 7: 0.000004): 0.097359): 0.006041, 9: 0.006093): 0.002407, 8: 0.006017): 0.006051);
(C1: 0.000004, C2: 0.000004, C3: 0.000004, C6: 0.000004, (((C10: 0.000004, (C4: 0.000004, C5: 0.000004, C7: 0.000004): 0.097359): 0.006041, C9: 0.006093): 0.002407, C8: 0.006017): 0.006051);
Detailed output identifying parameters
kappa (ts/tv) = 4.35881
MLEs of dN/dS (w) for site classes (K=3)
p: 0.99379 0.00000 0.00621
w: 0.04501 1.00000 7.78001
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
11..1 0.000 922.1 346.9 0.0930 0.0000 0.0000 0.0 0.0
11..2 0.000 922.1 346.9 0.0930 0.0000 0.0000 0.0 0.0
11..3 0.000 922.1 346.9 0.0930 0.0000 0.0000 0.0 0.0
11..6 0.000 922.1 346.9 0.0930 0.0000 0.0000 0.0 0.0
11..12 0.006 922.1 346.9 0.0930 0.0006 0.0059 0.5 2.1
12..13 0.002 922.1 346.9 0.0930 0.0002 0.0024 0.2 0.8
13..14 0.006 922.1 346.9 0.0930 0.0005 0.0059 0.5 2.0
14..10 0.000 922.1 346.9 0.0930 0.0000 0.0000 0.0 0.0
14..15 0.097 922.1 346.9 0.0930 0.0089 0.0952 8.2 33.0
15..4 0.000 922.1 346.9 0.0930 0.0000 0.0000 0.0 0.0
15..5 0.000 922.1 346.9 0.0930 0.0000 0.0000 0.0 0.0
15..7 0.000 922.1 346.9 0.0930 0.0000 0.0000 0.0 0.0
13..9 0.006 922.1 346.9 0.0930 0.0006 0.0060 0.5 2.1
12..8 0.006 922.1 346.9 0.0930 0.0005 0.0059 0.5 2.0
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
420 D 1.000** 7.776
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
420 D 0.845 2.656 +- 1.756
The grid (see ternary graph for p0-p1)
w0: 0.050 0.150 0.250 0.350 0.450 0.550 0.650 0.750 0.850 0.950
w2: 1.500 2.500 3.500 4.500 5.500 6.500 7.500 8.500 9.500 10.500
Posterior on the grid
w0: 0.999 0.001 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
w2: 0.422 0.262 0.141 0.075 0.041 0.024 0.015 0.010 0.006 0.005
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 0.003
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.008 0.989
sum of density on p0-p1 = 1.000000
Time used: 0:49
Model 7: beta (10 categories)
TREE # 1: (1, 2, 3, 6, (((10, (4, 5, 7)), 9), 8)); MP score: 46
lnL(ntime: 14 np: 17): -1930.296122 +0.000000
11..1 11..2 11..3 11..6 11..12 12..13 13..14 14..10 14..15 15..4 15..5 15..7 13..9 12..8
0.000004 0.000004 0.000004 0.000004 0.005374 0.002418 0.005490 0.001475 0.093438 0.000004 0.000004 0.000004 0.005389 0.006933 4.152301 0.009988 0.151527
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.120546
(1: 0.000004, 2: 0.000004, 3: 0.000004, 6: 0.000004, (((10: 0.001475, (4: 0.000004, 5: 0.000004, 7: 0.000004): 0.093438): 0.005490, 9: 0.005389): 0.002418, 8: 0.006933): 0.005374);
(C1: 0.000004, C2: 0.000004, C3: 0.000004, C6: 0.000004, (((C10: 0.001475, (C4: 0.000004, C5: 0.000004, C7: 0.000004): 0.093438): 0.005490, C9: 0.005389): 0.002418, C8: 0.006933): 0.005374);
Detailed output identifying parameters
kappa (ts/tv) = 4.15230
Parameters in M7 (beta):
p = 0.00999 q = 0.15153
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 0.00004 0.79975
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
11..1 0.000 923.9 345.1 0.0800 0.0000 0.0000 0.0 0.0
11..2 0.000 923.9 345.1 0.0800 0.0000 0.0000 0.0 0.0
11..3 0.000 923.9 345.1 0.0800 0.0000 0.0000 0.0 0.0
11..6 0.000 923.9 345.1 0.0800 0.0000 0.0000 0.0 0.0
11..12 0.005 923.9 345.1 0.0800 0.0004 0.0054 0.4 1.9
12..13 0.002 923.9 345.1 0.0800 0.0002 0.0024 0.2 0.8
13..14 0.005 923.9 345.1 0.0800 0.0004 0.0055 0.4 1.9
14..10 0.001 923.9 345.1 0.0800 0.0001 0.0015 0.1 0.5
14..15 0.093 923.9 345.1 0.0800 0.0075 0.0943 7.0 32.6
15..4 0.000 923.9 345.1 0.0800 0.0000 0.0000 0.0 0.0
15..5 0.000 923.9 345.1 0.0800 0.0000 0.0000 0.0 0.0
15..7 0.000 923.9 345.1 0.0800 0.0000 0.0000 0.0 0.0
13..9 0.005 923.9 345.1 0.0800 0.0004 0.0054 0.4 1.9
12..8 0.007 923.9 345.1 0.0800 0.0006 0.0070 0.5 2.4
Time used: 1:43
Model 8: beta&w>1 (11 categories)
TREE # 1: (1, 2, 3, 6, (((10, (4, 5, 7)), 9), 8)); MP score: 46
lnL(ntime: 14 np: 19): -1929.148849 +0.000000
11..1 11..2 11..3 11..6 11..12 12..13 13..14 14..10 14..15 15..4 15..5 15..7 13..9 12..8
0.000004 0.000004 0.000004 0.000004 0.006051 0.002407 0.006041 0.000004 0.097361 0.000004 0.000004 0.000004 0.006093 0.006017 4.359457 0.993785 4.709176 99.000000 7.771874
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.124002
(1: 0.000004, 2: 0.000004, 3: 0.000004, 6: 0.000004, (((10: 0.000004, (4: 0.000004, 5: 0.000004, 7: 0.000004): 0.097361): 0.006041, 9: 0.006093): 0.002407, 8: 0.006017): 0.006051);
(C1: 0.000004, C2: 0.000004, C3: 0.000004, C6: 0.000004, (((C10: 0.000004, (C4: 0.000004, C5: 0.000004, C7: 0.000004): 0.097361): 0.006041, C9: 0.006093): 0.002407, C8: 0.006017): 0.006051);
Detailed output identifying parameters
kappa (ts/tv) = 4.35946
Parameters in M8 (beta&w>1):
p0 = 0.99378 p = 4.70918 q = 99.00000
(p1 = 0.00622) w = 7.77187
MLEs of dN/dS (w) for site classes (K=11)
p: 0.09938 0.09938 0.09938 0.09938 0.09938 0.09938 0.09938 0.09938 0.09938 0.09938 0.00622
w: 0.01759 0.02512 0.03051 0.03533 0.04007 0.04504 0.05056 0.05718 0.06619 0.08313 7.77187
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
11..1 0.000 922.1 346.9 0.0931 0.0000 0.0000 0.0 0.0
11..2 0.000 922.1 346.9 0.0931 0.0000 0.0000 0.0 0.0
11..3 0.000 922.1 346.9 0.0931 0.0000 0.0000 0.0 0.0
11..6 0.000 922.1 346.9 0.0931 0.0000 0.0000 0.0 0.0
11..12 0.006 922.1 346.9 0.0931 0.0006 0.0059 0.5 2.1
12..13 0.002 922.1 346.9 0.0931 0.0002 0.0024 0.2 0.8
13..14 0.006 922.1 346.9 0.0931 0.0005 0.0059 0.5 2.0
14..10 0.000 922.1 346.9 0.0931 0.0000 0.0000 0.0 0.0
14..15 0.097 922.1 346.9 0.0931 0.0089 0.0952 8.2 33.0
15..4 0.000 922.1 346.9 0.0931 0.0000 0.0000 0.0 0.0
15..5 0.000 922.1 346.9 0.0931 0.0000 0.0000 0.0 0.0
15..7 0.000 922.1 346.9 0.0931 0.0000 0.0000 0.0 0.0
13..9 0.006 922.1 346.9 0.0931 0.0006 0.0060 0.5 2.1
12..8 0.006 922.1 346.9 0.0931 0.0005 0.0059 0.5 2.0
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
420 D 0.999** 7.766
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
420 D 0.917 1.833 +- 0.872
The grid
p0: 0.050 0.150 0.250 0.350 0.450 0.550 0.650 0.750 0.850 0.950
p : 0.100 0.300 0.500 0.700 0.900 1.100 1.300 1.500 1.700 1.900
q : 0.100 0.300 0.500 0.700 0.900 1.100 1.300 1.500 1.700 1.900
ws: 1.500 2.500 3.500 4.500 5.500 6.500 7.500 8.500 9.500 10.500
Posterior on the grid
p0: 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 1.000
p : 0.994 0.006 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
q : 0.000 0.000 0.000 0.005 0.021 0.056 0.111 0.182 0.266 0.359
ws: 0.714 0.204 0.055 0.017 0.006 0.002 0.001 0.001 0.000 0.000
Time used: 4:04
Model 1: NearlyNeutral -1930.092008 Model 2: PositiveSelection -1929.144794 Model 7: beta -1930.296122 Model 8: beta&w>1 -1929.148849 Model 2 vs 1 1.894428 Model 8 vs 7 2.294546
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
