--- 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
-- 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 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 23:15:38 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result/gapped_alignment/fubar,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) = 1666826140
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) = 323722162
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 = 1650830508
Seed = 1215879043
Swapseed = 1666826140
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 -- -2730.530355 -- 35.653401
Chain 2 -- -2684.754057 -- 35.653401
Chain 3 -- -2714.623199 -- 35.653401
Chain 4 -- -2703.694339 -- 35.653401
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -2737.448590 -- 35.653401
Chain 2 -- -2718.223986 -- 35.653401
Chain 3 -- -2723.895247 -- 35.653401
Chain 4 -- -2735.230156 -- 35.653401
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-2730.530] (-2684.754) (-2714.623) (-2703.694) * [-2737.449] (-2718.224) (-2723.895) (-2735.230)
1000 -- (-2049.772) [-2054.001] (-2064.385) (-2060.793) * [-2055.619] (-2059.794) (-2060.029) (-2067.908) -- 0:00:00
2000 -- [-2039.042] (-2054.004) (-2044.644) (-2041.179) * (-2050.350) (-2049.093) [-2041.919] (-2064.983) -- 0:00:00
3000 -- (-2043.748) (-2034.174) [-2033.886] (-2041.711) * (-2040.121) (-2042.968) (-2038.610) [-2038.798] -- 0:00:00
4000 -- [-2032.272] (-2038.636) (-2035.580) (-2033.807) * (-2040.461) (-2042.903) [-2036.648] (-2030.167) -- 0:00:00
5000 -- (-2038.658) [-2042.569] (-2034.480) (-2041.111) * (-2038.593) [-2035.351] (-2039.301) (-2030.928) -- 0:03:19
Average standard deviation of split frequencies: 0.090973
6000 -- (-2043.104) (-2028.158) (-2039.155) [-2028.351] * (-2042.309) [-2032.864] (-2049.094) (-2022.060) -- 0:02:45
7000 -- (-2031.673) [-2030.825] (-2030.876) (-2028.457) * (-2042.733) (-2039.524) [-2028.523] (-2027.849) -- 0:02:21
8000 -- (-2031.234) [-2025.484] (-2036.463) (-2033.370) * (-2041.263) [-2036.791] (-2030.753) (-2026.430) -- 0:02:04
9000 -- (-2033.264) (-2030.741) (-2033.817) [-2033.436] * (-2043.064) (-2033.784) (-2030.500) [-2024.835] -- 0:03:40
10000 -- (-2034.625) [-2022.995] (-2033.224) (-2033.838) * (-2030.129) (-2033.200) [-2016.944] (-2028.248) -- 0:03:18
Average standard deviation of split frequencies: 0.067454
11000 -- [-2032.995] (-2031.393) (-2024.568) (-2035.655) * (-2028.568) [-2039.720] (-2018.076) (-2029.258) -- 0:02:59
12000 -- (-2045.810) (-2022.760) [-2017.484] (-2033.322) * (-2033.901) [-2039.242] (-2024.042) (-2024.738) -- 0:02:44
13000 -- (-2036.505) [-2035.785] (-2019.669) (-2031.174) * [-2030.005] (-2048.008) (-2020.386) (-2028.856) -- 0:02:31
14000 -- (-2032.578) (-2046.956) [-2016.680] (-2029.611) * [-2028.117] (-2050.619) (-2030.323) (-2033.875) -- 0:03:31
15000 -- (-2035.284) (-2032.882) (-2027.056) [-2028.955] * (-2028.683) (-2045.990) [-2022.689] (-2030.293) -- 0:03:17
Average standard deviation of split frequencies: 0.045831
16000 -- (-2037.248) (-2030.004) (-2029.715) [-2031.241] * (-2031.338) (-2046.841) (-2020.625) [-2035.478] -- 0:03:04
17000 -- (-2031.440) (-2027.658) (-2018.007) [-2031.916] * (-2027.497) (-2030.766) (-2012.705) [-2025.878] -- 0:02:53
18000 -- (-2022.725) (-2027.108) [-2033.277] (-2035.185) * [-2023.729] (-2045.126) (-2018.775) (-2031.694) -- 0:03:38
19000 -- (-2035.005) (-2032.299) (-2031.164) [-2032.723] * (-2023.513) (-2034.711) (-2025.748) [-2026.831] -- 0:03:26
20000 -- (-2027.850) [-2025.439] (-2033.207) (-2032.691) * [-2022.477] (-2040.416) (-2022.035) (-2029.445) -- 0:03:16
Average standard deviation of split frequencies: 0.045620
21000 -- [-2024.448] (-2033.729) (-2030.816) (-2033.220) * (-2023.135) [-2030.418] (-2022.667) (-2031.087) -- 0:03:06
22000 -- (-2033.848) (-2031.337) [-2023.876] (-2024.740) * [-2019.218] (-2036.661) (-2032.204) (-2020.607) -- 0:02:57
23000 -- (-2027.851) [-2027.390] (-2034.280) (-2030.227) * (-2025.419) (-2043.587) (-2031.013) [-2023.168] -- 0:03:32
24000 -- [-2023.163] (-2028.311) (-2038.109) (-2029.015) * (-2018.767) (-2035.902) [-2021.444] (-2023.388) -- 0:03:23
25000 -- (-2038.240) (-2029.078) (-2034.136) [-2026.212] * (-2024.955) (-2038.962) [-2032.318] (-2023.498) -- 0:03:15
Average standard deviation of split frequencies: 0.035355
26000 -- (-2031.932) (-2025.151) (-2032.560) [-2023.512] * (-2032.534) [-2027.326] (-2025.544) (-2020.012) -- 0:03:07
27000 -- (-2028.115) (-2030.065) (-2030.364) [-2028.056] * [-2023.114] (-2027.324) (-2025.957) (-2024.169) -- 0:03:00
28000 -- (-2029.111) (-2032.170) [-2025.120] (-2035.232) * (-2029.036) [-2025.270] (-2025.172) (-2031.223) -- 0:03:28
29000 -- (-2035.272) (-2020.344) [-2022.334] (-2030.183) * (-2024.092) [-2023.248] (-2031.742) (-2038.000) -- 0:03:20
30000 -- (-2036.811) (-2026.132) (-2027.578) [-2019.351] * (-2022.235) [-2032.910] (-2025.928) (-2043.605) -- 0:03:14
Average standard deviation of split frequencies: 0.033050
31000 -- (-2024.193) (-2035.117) (-2022.613) [-2023.781] * [-2028.703] (-2034.480) (-2034.444) (-2035.156) -- 0:03:07
32000 -- [-2028.427] (-2026.551) (-2027.302) (-2039.323) * (-2017.583) [-2023.522] (-2029.012) (-2027.642) -- 0:03:31
33000 -- [-2029.606] (-2022.694) (-2030.615) (-2037.308) * [-2027.230] (-2035.303) (-2026.883) (-2019.488) -- 0:03:25
34000 -- (-2032.415) (-2038.456) [-2020.009] (-2027.201) * (-2023.195) (-2037.410) [-2033.557] (-2023.546) -- 0:03:18
35000 -- (-2046.576) (-2026.639) [-2017.859] (-2032.903) * (-2035.781) (-2038.979) (-2022.717) [-2028.565] -- 0:03:13
Average standard deviation of split frequencies: 0.034046
36000 -- [-2023.647] (-2023.890) (-2019.770) (-2021.200) * [-2021.840] (-2028.177) (-2026.948) (-2030.182) -- 0:03:07
37000 -- (-2025.412) [-2023.204] (-2025.234) (-2035.929) * (-2023.775) [-2032.872] (-2028.323) (-2031.205) -- 0:03:28
38000 -- (-2023.495) [-2024.076] (-2019.344) (-2025.763) * (-2024.280) [-2025.677] (-2022.408) (-2027.782) -- 0:03:22
39000 -- (-2028.610) [-2025.963] (-2028.408) (-2025.422) * (-2028.014) (-2028.588) [-2026.969] (-2033.110) -- 0:03:17
40000 -- (-2033.320) (-2018.676) [-2022.478] (-2027.627) * (-2023.667) [-2030.414] (-2033.456) (-2040.473) -- 0:03:12
Average standard deviation of split frequencies: 0.035355
41000 -- [-2034.218] (-2026.157) (-2036.587) (-2017.106) * (-2026.815) (-2036.231) (-2024.500) [-2028.983] -- 0:03:30
42000 -- (-2037.437) (-2030.831) (-2024.859) [-2029.260] * (-2030.277) (-2030.545) [-2032.903] (-2031.848) -- 0:03:25
43000 -- (-2040.074) (-2029.641) [-2022.729] (-2030.374) * (-2022.925) (-2033.732) [-2022.819] (-2017.799) -- 0:03:20
44000 -- (-2040.275) (-2020.582) (-2039.985) [-2022.430] * (-2024.796) [-2026.615] (-2034.301) (-2034.326) -- 0:03:15
45000 -- (-2035.880) (-2025.842) (-2022.225) [-2019.358] * [-2020.417] (-2028.878) (-2028.242) (-2021.784) -- 0:03:11
Average standard deviation of split frequencies: 0.034843
46000 -- (-2042.126) (-2029.073) (-2021.246) [-2022.018] * (-2024.980) [-2021.823] (-2027.701) (-2018.109) -- 0:03:27
47000 -- (-2037.296) [-2019.395] (-2024.841) (-2026.047) * (-2026.231) (-2033.565) [-2029.786] (-2029.514) -- 0:03:22
48000 -- [-2026.088] (-2019.587) (-2017.801) (-2029.850) * (-2026.730) [-2025.333] (-2017.137) (-2032.714) -- 0:03:18
49000 -- (-2030.141) (-2031.365) (-2025.434) [-2026.546] * (-2037.237) (-2036.597) [-2021.552] (-2035.701) -- 0:03:14
50000 -- (-2026.724) (-2028.716) [-2024.112] (-2025.679) * (-2026.809) [-2028.502] (-2024.091) (-2028.153) -- 0:03:29
Average standard deviation of split frequencies: 0.030703
51000 -- (-2027.243) (-2018.611) [-2024.041] (-2030.100) * (-2035.631) (-2030.982) [-2023.267] (-2027.243) -- 0:03:24
52000 -- (-2032.285) (-2021.862) (-2029.905) [-2018.990] * [-2026.333] (-2019.836) (-2026.727) (-2043.854) -- 0:03:20
53000 -- (-2028.151) (-2030.680) (-2049.644) [-2022.928] * (-2027.176) (-2030.555) (-2027.097) [-2025.219] -- 0:03:16
54000 -- (-2029.862) [-2019.657] (-2038.614) (-2019.397) * (-2028.982) [-2024.357] (-2022.939) (-2023.790) -- 0:03:30
55000 -- [-2029.221] (-2028.764) (-2030.712) (-2025.496) * (-2026.161) [-2024.435] (-2037.141) (-2020.725) -- 0:03:26
Average standard deviation of split frequencies: 0.029042
56000 -- [-2021.894] (-2031.518) (-2025.859) (-2022.794) * [-2026.497] (-2035.789) (-2018.403) (-2022.317) -- 0:03:22
57000 -- (-2028.191) [-2024.759] (-2032.714) (-2023.298) * (-2025.076) [-2019.300] (-2030.421) (-2030.288) -- 0:03:18
58000 -- [-2018.901] (-2037.944) (-2016.909) (-2038.048) * (-2027.342) (-2038.056) (-2025.798) [-2022.557] -- 0:03:14
59000 -- (-2022.843) (-2032.751) (-2020.803) [-2028.898] * [-2028.018] (-2033.745) (-2029.845) (-2029.577) -- 0:03:27
60000 -- (-2019.325) (-2034.456) (-2030.652) [-2024.235] * (-2033.837) [-2019.693] (-2035.533) (-2020.519) -- 0:03:23
Average standard deviation of split frequencies: 0.031082
61000 -- [-2016.623] (-2026.190) (-2029.568) (-2028.845) * (-2024.279) [-2023.029] (-2035.348) (-2024.220) -- 0:03:20
62000 -- (-2025.377) (-2022.026) (-2031.919) [-2025.724] * (-2020.555) [-2024.148] (-2038.105) (-2030.975) -- 0:03:16
63000 -- (-2015.458) (-2034.169) (-2023.892) [-2026.006] * [-2022.744] (-2024.093) (-2047.743) (-2023.925) -- 0:03:28
64000 -- (-2022.340) (-2028.717) [-2024.486] (-2030.331) * [-2022.965] (-2027.570) (-2022.383) (-2031.869) -- 0:03:24
65000 -- (-2023.127) [-2029.907] (-2030.862) (-2025.892) * (-2039.794) (-2022.701) (-2029.261) [-2029.537] -- 0:03:21
Average standard deviation of split frequencies: 0.027856
66000 -- (-2027.009) (-2024.924) (-2028.631) [-2031.351] * (-2025.705) (-2023.752) (-2028.991) [-2024.214] -- 0:03:18
67000 -- (-2018.215) (-2025.948) [-2029.805] (-2028.745) * (-2026.780) (-2016.692) [-2018.848] (-2020.636) -- 0:03:14
68000 -- (-2021.835) (-2024.899) [-2025.556] (-2029.859) * (-2032.479) [-2021.590] (-2021.194) (-2031.732) -- 0:03:25
69000 -- (-2022.555) (-2033.153) (-2015.790) [-2018.640] * [-2028.952] (-2031.497) (-2017.496) (-2025.481) -- 0:03:22
70000 -- (-2018.946) (-2023.223) [-2027.917] (-2026.828) * (-2032.990) (-2017.294) [-2019.517] (-2023.975) -- 0:03:19
Average standard deviation of split frequencies: 0.023014
71000 -- (-2031.188) (-2031.124) (-2028.551) [-2023.473] * (-2026.441) (-2021.519) [-2031.149] (-2038.351) -- 0:03:16
72000 -- (-2023.980) (-2028.667) (-2020.014) [-2023.279] * (-2022.913) (-2032.432) [-2034.187] (-2028.245) -- 0:03:26
73000 -- [-2019.824] (-2032.397) (-2027.621) (-2021.854) * [-2021.861] (-2027.886) (-2024.870) (-2022.483) -- 0:03:23
74000 -- [-2021.808] (-2027.879) (-2028.480) (-2033.467) * (-2029.544) (-2029.398) [-2025.238] (-2020.236) -- 0:03:20
75000 -- [-2022.301] (-2022.332) (-2026.090) (-2026.220) * (-2024.421) (-2035.420) (-2026.243) [-2025.492] -- 0:03:17
Average standard deviation of split frequencies: 0.016127
76000 -- (-2033.885) (-2025.707) [-2023.960] (-2021.620) * (-2033.025) (-2027.386) [-2017.088] (-2023.063) -- 0:03:26
77000 -- [-2023.613] (-2017.278) (-2027.433) (-2029.472) * (-2028.459) (-2031.823) [-2028.989] (-2029.294) -- 0:03:23
78000 -- (-2030.965) (-2025.181) [-2028.497] (-2029.732) * (-2031.353) (-2033.836) [-2021.189] (-2023.172) -- 0:03:20
79000 -- (-2028.041) (-2035.774) (-2030.512) [-2019.958] * (-2027.608) [-2043.156] (-2028.438) (-2028.330) -- 0:03:18
80000 -- (-2027.665) [-2019.333] (-2035.846) (-2033.829) * (-2028.726) (-2036.722) (-2026.940) [-2020.440] -- 0:03:15
Average standard deviation of split frequencies: 0.015194
81000 -- (-2036.101) (-2022.215) (-2028.830) [-2028.326] * [-2022.543] (-2038.872) (-2029.272) (-2013.251) -- 0:03:24
82000 -- [-2034.861] (-2019.105) (-2025.860) (-2021.540) * (-2027.629) [-2030.580] (-2029.029) (-2021.699) -- 0:03:21
83000 -- [-2034.125] (-2031.431) (-2052.362) (-2025.213) * (-2033.665) (-2032.885) (-2029.134) [-2026.665] -- 0:03:18
84000 -- (-2029.880) (-2020.373) (-2026.504) [-2025.875] * (-2031.110) [-2023.845] (-2022.871) (-2029.022) -- 0:03:16
85000 -- (-2029.224) (-2027.321) (-2026.499) [-2024.489] * (-2021.183) (-2036.443) [-2027.674] (-2042.454) -- 0:03:13
Average standard deviation of split frequencies: 0.010963
86000 -- (-2019.802) (-2032.780) (-2020.923) [-2032.102] * [-2019.892] (-2027.635) (-2037.818) (-2030.042) -- 0:03:21
87000 -- [-2020.552] (-2022.370) (-2026.234) (-2027.122) * [-2021.391] (-2036.585) (-2020.410) (-2020.289) -- 0:03:19
88000 -- (-2021.809) (-2032.440) (-2023.997) [-2014.873] * (-2027.404) (-2030.241) (-2025.152) [-2022.184] -- 0:03:16
89000 -- (-2024.748) [-2020.348] (-2022.223) (-2028.411) * (-2025.296) (-2035.509) [-2027.507] (-2032.468) -- 0:03:14
90000 -- (-2026.822) [-2030.493] (-2027.048) (-2024.783) * (-2018.668) (-2025.206) (-2022.849) [-2020.747] -- 0:03:22
Average standard deviation of split frequencies: 0.009619
91000 -- (-2025.607) (-2034.076) [-2016.151] (-2021.427) * (-2024.514) [-2029.028] (-2029.780) (-2021.726) -- 0:03:19
92000 -- (-2033.011) (-2029.969) [-2018.557] (-2041.699) * [-2025.659] (-2033.189) (-2041.168) (-2018.150) -- 0:03:17
93000 -- (-2031.772) (-2030.623) [-2028.586] (-2039.388) * [-2022.530] (-2040.104) (-2033.983) (-2026.860) -- 0:03:15
94000 -- (-2030.883) (-2027.969) [-2029.122] (-2032.038) * (-2030.691) [-2033.023] (-2022.754) (-2022.861) -- 0:03:12
95000 -- [-2019.314] (-2021.033) (-2024.909) (-2020.005) * (-2030.009) (-2031.954) [-2024.896] (-2026.058) -- 0:03:20
Average standard deviation of split frequencies: 0.011294
96000 -- (-2022.865) (-2028.978) [-2028.766] (-2040.050) * (-2037.329) (-2034.404) (-2031.071) [-2021.670] -- 0:03:17
97000 -- (-2022.116) [-2025.612] (-2020.097) (-2029.002) * (-2033.137) [-2015.189] (-2030.919) (-2022.431) -- 0:03:15
98000 -- (-2025.217) [-2022.189] (-2033.760) (-2025.292) * (-2031.874) (-2019.907) [-2015.101] (-2025.321) -- 0:03:13
99000 -- [-2025.153] (-2022.745) (-2025.235) (-2025.409) * (-2024.520) (-2022.430) (-2035.046) [-2022.526] -- 0:03:20
100000 -- [-2020.142] (-2021.948) (-2030.524) (-2021.282) * (-2023.597) [-2028.811] (-2033.226) (-2032.393) -- 0:03:18
Average standard deviation of split frequencies: 0.008195
101000 -- [-2017.773] (-2027.790) (-2020.798) (-2015.515) * (-2024.228) (-2034.637) [-2026.040] (-2019.792) -- 0:03:15
102000 -- [-2028.084] (-2027.507) (-2038.208) (-2020.605) * (-2026.387) (-2024.344) (-2031.679) [-2025.275] -- 0:03:13
103000 -- (-2028.547) [-2019.021] (-2021.097) (-2025.550) * (-2023.966) (-2018.183) (-2033.659) [-2026.537] -- 0:03:11
104000 -- (-2027.804) (-2032.289) [-2029.376] (-2027.863) * (-2023.249) (-2025.032) [-2026.580] (-2021.766) -- 0:03:18
105000 -- (-2025.081) (-2040.554) (-2035.994) [-2021.608] * (-2034.030) (-2015.674) (-2030.035) [-2024.760] -- 0:03:16
Average standard deviation of split frequencies: 0.015343
106000 -- (-2024.471) (-2028.935) (-2031.765) [-2021.756] * (-2015.639) [-2020.627] (-2031.350) (-2032.062) -- 0:03:13
107000 -- (-2021.628) (-2015.311) [-2024.712] (-2021.580) * (-2029.191) (-2024.213) (-2037.866) [-2026.113] -- 0:03:11
108000 -- (-2023.362) [-2020.103] (-2027.357) (-2021.081) * (-2028.723) [-2022.561] (-2025.358) (-2026.446) -- 0:03:18
109000 -- (-2025.420) [-2019.869] (-2023.884) (-2026.132) * (-2027.566) (-2030.643) (-2032.967) [-2018.536] -- 0:03:16
110000 -- (-2021.962) (-2029.002) [-2017.812] (-2030.979) * (-2024.756) [-2028.815] (-2037.345) (-2021.854) -- 0:03:14
Average standard deviation of split frequencies: 0.017465
111000 -- (-2034.105) [-2031.091] (-2031.624) (-2028.556) * [-2028.703] (-2030.957) (-2029.587) (-2025.698) -- 0:03:12
112000 -- (-2025.266) (-2029.677) [-2024.073] (-2030.010) * (-2026.161) (-2027.963) (-2029.849) [-2018.840] -- 0:03:10
113000 -- (-2041.592) [-2020.415] (-2032.477) (-2028.987) * (-2028.288) (-2023.314) [-2028.117] (-2032.082) -- 0:03:16
114000 -- (-2035.377) [-2016.175] (-2035.634) (-2025.074) * (-2033.208) (-2027.608) (-2027.732) [-2028.206] -- 0:03:14
115000 -- (-2031.125) (-2015.813) [-2025.302] (-2024.137) * (-2038.970) [-2017.271] (-2029.542) (-2031.434) -- 0:03:12
Average standard deviation of split frequencies: 0.014630
116000 -- (-2023.437) [-2025.794] (-2032.985) (-2027.052) * (-2036.659) (-2020.985) [-2028.226] (-2025.065) -- 0:03:10
117000 -- (-2037.576) (-2032.900) [-2022.691] (-2037.747) * (-2025.839) (-2023.489) [-2035.835] (-2019.584) -- 0:03:16
118000 -- (-2037.523) (-2029.466) (-2031.672) [-2025.208] * (-2032.129) (-2025.912) [-2028.756] (-2019.060) -- 0:03:14
119000 -- (-2042.375) (-2027.043) (-2021.406) [-2025.285] * (-2029.012) (-2028.496) [-2026.423] (-2019.222) -- 0:03:12
120000 -- (-2030.875) (-2033.739) [-2027.053] (-2022.760) * (-2023.496) [-2021.429] (-2029.456) (-2023.699) -- 0:03:10
Average standard deviation of split frequencies: 0.013478
121000 -- (-2033.687) (-2035.286) [-2025.142] (-2021.144) * (-2035.653) (-2034.309) [-2020.462] (-2030.937) -- 0:03:08
122000 -- (-2033.058) [-2023.831] (-2023.043) (-2029.217) * (-2030.997) (-2028.169) [-2023.607] (-2018.792) -- 0:03:14
123000 -- (-2030.569) (-2025.451) [-2028.300] (-2029.585) * (-2026.036) [-2026.259] (-2021.390) (-2025.378) -- 0:03:12
124000 -- (-2032.139) (-2024.417) (-2037.331) [-2024.286] * (-2023.110) (-2032.957) (-2027.560) [-2022.681] -- 0:03:10
125000 -- [-2032.917] (-2031.370) (-2023.477) (-2029.316) * (-2025.083) [-2018.040] (-2027.450) (-2026.833) -- 0:03:09
Average standard deviation of split frequencies: 0.013282
126000 -- (-2028.989) [-2029.259] (-2019.561) (-2029.264) * (-2027.467) (-2030.505) (-2021.576) [-2021.142] -- 0:03:14
127000 -- (-2021.738) (-2031.309) (-2023.780) [-2027.024] * (-2024.428) (-2025.059) [-2020.492] (-2025.070) -- 0:03:12
128000 -- (-2017.487) (-2024.434) (-2024.001) [-2028.140] * (-2031.267) [-2020.302] (-2035.489) (-2025.356) -- 0:03:10
129000 -- [-2025.603] (-2022.567) (-2028.845) (-2030.847) * (-2020.197) [-2024.644] (-2025.812) (-2022.990) -- 0:03:09
130000 -- (-2017.799) (-2032.169) [-2022.031] (-2024.044) * (-2027.128) [-2025.226] (-2027.349) (-2022.546) -- 0:03:07
Average standard deviation of split frequencies: 0.014792
131000 -- (-2027.359) (-2028.205) [-2026.765] (-2031.304) * (-2031.008) (-2023.420) (-2025.187) [-2027.021] -- 0:03:12
132000 -- (-2018.518) (-2016.552) (-2020.561) [-2026.851] * [-2021.419] (-2030.848) (-2033.344) (-2027.898) -- 0:03:10
133000 -- (-2015.229) [-2025.559] (-2026.993) (-2016.906) * [-2029.400] (-2029.625) (-2024.775) (-2036.052) -- 0:03:09
134000 -- (-2021.171) (-2033.413) [-2018.193] (-2024.013) * (-2037.895) [-2023.681] (-2038.515) (-2027.505) -- 0:03:07
135000 -- [-2029.282] (-2028.143) (-2029.355) (-2028.448) * (-2033.287) [-2017.370] (-2033.828) (-2034.519) -- 0:03:12
Average standard deviation of split frequencies: 0.013692
136000 -- (-2021.590) [-2030.090] (-2020.187) (-2023.392) * (-2045.539) (-2025.484) (-2036.762) [-2027.553] -- 0:03:10
137000 -- (-2022.435) (-2034.013) (-2036.518) [-2020.073] * (-2025.784) (-2029.260) [-2027.451] (-2040.505) -- 0:03:08
138000 -- (-2027.161) [-2023.367] (-2034.063) (-2021.090) * (-2027.477) [-2017.784] (-2037.880) (-2033.732) -- 0:03:07
139000 -- (-2030.617) (-2036.977) (-2021.194) [-2024.603] * (-2029.226) (-2030.425) (-2036.551) [-2027.846] -- 0:03:05
140000 -- (-2025.282) (-2028.672) (-2026.170) [-2015.586] * (-2032.442) (-2028.241) [-2030.215] (-2029.336) -- 0:03:10
Average standard deviation of split frequencies: 0.017594
141000 -- (-2027.500) (-2032.859) (-2027.770) [-2021.224] * (-2043.036) (-2026.401) [-2027.620] (-2031.525) -- 0:03:08
142000 -- (-2024.714) (-2028.042) [-2026.961] (-2027.313) * (-2029.904) [-2028.140] (-2024.948) (-2030.132) -- 0:03:07
143000 -- (-2025.082) (-2030.193) (-2028.419) [-2019.512] * [-2026.167] (-2017.852) (-2028.083) (-2036.220) -- 0:03:05
144000 -- (-2020.007) (-2028.229) (-2024.873) [-2024.402] * [-2031.483] (-2024.083) (-2035.963) (-2030.555) -- 0:03:10
145000 -- (-2025.153) (-2026.743) [-2026.694] (-2026.081) * (-2031.565) [-2020.240] (-2037.178) (-2029.306) -- 0:03:08
Average standard deviation of split frequencies: 0.017920
146000 -- (-2020.682) (-2026.705) (-2024.821) [-2028.921] * (-2025.309) [-2019.351] (-2027.987) (-2025.438) -- 0:03:07
147000 -- (-2023.548) (-2032.536) [-2027.424] (-2028.717) * (-2030.053) (-2025.725) (-2044.634) [-2027.985] -- 0:03:05
148000 -- [-2020.723] (-2034.496) (-2024.338) (-2031.910) * (-2031.479) [-2025.184] (-2023.544) (-2025.879) -- 0:03:04
149000 -- [-2020.741] (-2023.691) (-2033.521) (-2029.599) * (-2030.336) (-2024.296) (-2046.615) [-2015.782] -- 0:03:08
150000 -- (-2034.937) (-2039.279) (-2022.603) [-2035.423] * (-2027.225) [-2016.842] (-2019.808) (-2029.639) -- 0:03:07
Average standard deviation of split frequencies: 0.018303
151000 -- (-2021.054) [-2023.118] (-2026.435) (-2036.868) * (-2026.329) (-2026.157) (-2024.009) [-2019.785] -- 0:03:05
152000 -- [-2022.105] (-2027.570) (-2036.444) (-2033.803) * [-2022.111] (-2026.406) (-2028.495) (-2030.980) -- 0:03:04
153000 -- (-2028.777) (-2026.947) (-2017.884) [-2032.614] * (-2029.835) (-2027.669) [-2018.771] (-2025.361) -- 0:03:08
154000 -- [-2020.670] (-2031.153) (-2020.917) (-2028.186) * (-2040.320) (-2028.827) (-2029.529) [-2021.646] -- 0:03:06
155000 -- (-2019.040) (-2023.869) (-2027.917) [-2029.966] * (-2030.967) [-2030.490] (-2025.028) (-2024.557) -- 0:03:05
Average standard deviation of split frequencies: 0.019037
156000 -- (-2027.046) [-2025.947] (-2019.891) (-2033.324) * (-2026.278) [-2031.304] (-2027.742) (-2029.973) -- 0:03:03
157000 -- (-2038.723) (-2025.126) (-2026.711) [-2032.426] * (-2034.700) [-2023.099] (-2032.812) (-2020.283) -- 0:03:02
158000 -- [-2030.134] (-2030.694) (-2021.540) (-2041.614) * (-2024.078) (-2029.772) (-2032.172) [-2026.559] -- 0:03:06
159000 -- (-2026.258) [-2031.803] (-2029.047) (-2029.623) * (-2021.952) (-2028.799) (-2018.481) [-2021.849] -- 0:03:05
160000 -- (-2036.639) (-2032.909) [-2017.654] (-2026.422) * (-2026.785) (-2026.582) (-2026.484) [-2026.997] -- 0:03:03
Average standard deviation of split frequencies: 0.019511
161000 -- (-2037.240) (-2024.053) [-2021.984] (-2032.824) * (-2030.976) (-2031.640) [-2030.774] (-2021.743) -- 0:03:02
162000 -- [-2033.232] (-2029.992) (-2028.768) (-2026.372) * (-2028.498) [-2025.256] (-2028.355) (-2025.594) -- 0:03:06
163000 -- (-2048.654) [-2018.672] (-2023.049) (-2026.414) * (-2021.412) (-2037.124) [-2030.224] (-2036.518) -- 0:03:04
164000 -- (-2043.535) (-2026.753) [-2013.731] (-2024.321) * [-2025.021] (-2032.165) (-2034.938) (-2033.912) -- 0:03:03
165000 -- [-2030.649] (-2022.184) (-2016.866) (-2022.700) * (-2030.097) [-2031.716] (-2026.735) (-2020.732) -- 0:03:02
Average standard deviation of split frequencies: 0.017749
166000 -- (-2025.567) [-2019.391] (-2021.289) (-2035.012) * (-2023.768) (-2029.994) (-2027.465) [-2027.585] -- 0:03:00
167000 -- (-2019.866) [-2027.744] (-2025.390) (-2028.410) * (-2021.352) [-2033.472] (-2023.959) (-2027.686) -- 0:03:04
168000 -- (-2025.094) [-2026.515] (-2031.917) (-2027.492) * [-2029.349] (-2030.376) (-2023.626) (-2034.072) -- 0:03:03
169000 -- (-2026.752) [-2018.582] (-2037.681) (-2039.687) * (-2025.220) (-2022.548) [-2022.184] (-2035.880) -- 0:03:01
170000 -- (-2023.860) (-2023.355) [-2033.383] (-2020.149) * (-2022.586) (-2030.103) [-2021.877] (-2027.888) -- 0:03:00
Average standard deviation of split frequencies: 0.019059
171000 -- (-2027.918) (-2026.153) (-2032.178) [-2026.307] * (-2037.640) (-2023.722) [-2025.405] (-2028.455) -- 0:02:59
172000 -- (-2030.661) (-2022.640) (-2025.811) [-2027.175] * (-2026.527) (-2028.338) [-2028.437] (-2026.011) -- 0:03:02
173000 -- (-2023.589) [-2027.626] (-2021.343) (-2030.477) * (-2030.005) [-2027.457] (-2024.888) (-2031.685) -- 0:03:01
174000 -- (-2024.895) (-2028.822) (-2026.740) [-2028.773] * (-2026.324) (-2042.405) (-2027.462) [-2019.426] -- 0:03:00
175000 -- (-2038.718) (-2031.218) [-2021.004] (-2034.298) * (-2028.399) (-2031.411) [-2021.987] (-2050.989) -- 0:02:59
Average standard deviation of split frequencies: 0.019419
176000 -- [-2017.246] (-2026.996) (-2022.510) (-2021.458) * (-2024.902) (-2036.414) (-2023.901) [-2029.175] -- 0:03:02
177000 -- (-2032.340) (-2021.161) [-2022.757] (-2026.885) * (-2024.913) (-2031.288) (-2030.281) [-2026.946] -- 0:03:01
178000 -- (-2022.150) (-2020.852) (-2034.723) [-2018.532] * (-2029.076) (-2032.120) [-2018.166] (-2029.092) -- 0:03:00
179000 -- (-2022.345) (-2018.862) (-2028.189) [-2023.964] * (-2035.702) (-2035.623) (-2031.980) [-2027.987] -- 0:02:58
180000 -- (-2018.089) [-2019.297] (-2028.596) (-2028.253) * (-2018.996) [-2033.969] (-2023.492) (-2021.166) -- 0:02:57
Average standard deviation of split frequencies: 0.016569
181000 -- (-2030.040) (-2029.820) (-2022.856) [-2032.150] * [-2026.290] (-2036.955) (-2026.085) (-2026.978) -- 0:03:00
182000 -- [-2016.213] (-2021.507) (-2027.464) (-2018.283) * (-2027.604) (-2026.664) (-2026.632) [-2026.390] -- 0:02:59
183000 -- [-2019.517] (-2024.760) (-2023.108) (-2022.755) * (-2031.229) (-2038.379) [-2033.196] (-2044.966) -- 0:02:58
184000 -- (-2030.954) [-2019.247] (-2026.629) (-2021.912) * [-2021.006] (-2028.402) (-2025.692) (-2024.773) -- 0:02:57
185000 -- (-2025.783) [-2017.708] (-2023.881) (-2016.946) * [-2025.680] (-2033.739) (-2018.992) (-2021.764) -- 0:02:56
Average standard deviation of split frequencies: 0.018755
186000 -- [-2020.099] (-2023.706) (-2024.982) (-2024.567) * (-2040.012) [-2027.954] (-2031.976) (-2020.316) -- 0:02:59
187000 -- [-2024.129] (-2019.420) (-2028.378) (-2030.418) * (-2025.884) (-2036.633) (-2028.045) [-2024.163] -- 0:02:58
188000 -- [-2024.822] (-2022.571) (-2030.101) (-2031.627) * [-2021.033] (-2027.715) (-2023.950) (-2027.051) -- 0:02:57
189000 -- (-2025.550) (-2014.156) (-2023.350) [-2025.933] * [-2023.953] (-2022.238) (-2028.223) (-2023.656) -- 0:02:55
190000 -- (-2020.775) (-2030.620) [-2029.569] (-2026.518) * (-2020.731) (-2022.670) [-2022.646] (-2021.485) -- 0:02:59
Average standard deviation of split frequencies: 0.017060
191000 -- [-2021.318] (-2028.061) (-2018.245) (-2022.658) * (-2020.610) (-2034.837) [-2017.386] (-2024.085) -- 0:02:57
192000 -- (-2032.496) (-2023.317) [-2028.704] (-2024.817) * [-2018.025] (-2030.539) (-2025.924) (-2022.945) -- 0:02:56
193000 -- [-2018.038] (-2025.227) (-2028.342) (-2029.896) * [-2019.051] (-2040.949) (-2023.641) (-2027.056) -- 0:02:55
194000 -- [-2022.514] (-2024.891) (-2021.988) (-2039.540) * (-2025.984) [-2023.759] (-2025.349) (-2036.218) -- 0:02:54
195000 -- (-2022.432) (-2034.840) (-2025.782) [-2030.843] * (-2026.176) (-2023.476) [-2017.401] (-2021.691) -- 0:02:57
Average standard deviation of split frequencies: 0.016475
196000 -- [-2013.368] (-2026.882) (-2033.863) (-2028.329) * (-2017.122) (-2015.988) [-2018.962] (-2033.481) -- 0:02:56
197000 -- [-2022.768] (-2034.448) (-2027.538) (-2025.668) * (-2027.587) [-2026.236] (-2023.620) (-2042.279) -- 0:02:55
198000 -- (-2031.514) [-2027.226] (-2021.709) (-2022.190) * (-2030.953) (-2022.977) (-2026.036) [-2028.674] -- 0:02:54
199000 -- (-2024.629) (-2029.893) [-2021.118] (-2025.493) * (-2022.646) (-2027.064) [-2022.549] (-2029.054) -- 0:02:57
200000 -- (-2020.890) (-2032.831) [-2020.954] (-2039.483) * (-2033.391) [-2030.434] (-2020.648) (-2023.540) -- 0:02:56
Average standard deviation of split frequencies: 0.017736
201000 -- (-2024.490) [-2030.946] (-2025.367) (-2022.658) * (-2023.506) [-2021.847] (-2036.023) (-2031.369) -- 0:02:54
202000 -- (-2025.570) (-2024.179) (-2022.627) [-2021.141] * (-2025.199) [-2017.536] (-2019.944) (-2033.135) -- 0:02:53
203000 -- (-2038.275) (-2032.624) (-2031.195) [-2033.257] * (-2023.816) (-2021.175) [-2028.347] (-2037.085) -- 0:02:52
204000 -- (-2023.816) [-2021.124] (-2028.623) (-2027.983) * (-2029.176) (-2019.881) [-2022.421] (-2029.851) -- 0:02:55
205000 -- (-2017.648) (-2029.240) [-2032.468] (-2025.384) * (-2032.616) [-2022.703] (-2021.159) (-2032.537) -- 0:02:54
Average standard deviation of split frequencies: 0.016934
206000 -- [-2020.302] (-2022.581) (-2020.611) (-2025.124) * (-2020.783) (-2024.615) [-2027.610] (-2026.417) -- 0:02:53
207000 -- (-2022.467) (-2024.686) [-2023.866] (-2022.861) * (-2030.632) (-2032.776) [-2025.958] (-2030.116) -- 0:02:52
208000 -- (-2023.249) (-2025.299) [-2017.310] (-2025.262) * [-2027.955] (-2028.627) (-2034.086) (-2035.177) -- 0:02:55
209000 -- (-2025.019) [-2030.309] (-2017.684) (-2031.272) * (-2029.826) (-2025.333) [-2022.118] (-2020.041) -- 0:02:54
210000 -- (-2020.823) [-2024.970] (-2023.139) (-2021.586) * (-2020.580) (-2019.874) (-2026.093) [-2025.492] -- 0:02:53
Average standard deviation of split frequencies: 0.017342
211000 -- (-2039.600) (-2028.161) [-2029.757] (-2022.222) * (-2027.899) [-2023.174] (-2029.708) (-2027.486) -- 0:02:52
212000 -- (-2028.507) (-2025.864) [-2024.747] (-2033.480) * [-2022.386] (-2030.259) (-2026.025) (-2024.533) -- 0:02:54
213000 -- (-2029.991) [-2027.642] (-2033.120) (-2034.952) * [-2024.710] (-2028.072) (-2015.146) (-2029.780) -- 0:02:53
214000 -- (-2032.637) (-2025.282) [-2029.268] (-2027.457) * (-2022.744) [-2024.824] (-2022.868) (-2019.828) -- 0:02:52
215000 -- (-2026.295) [-2015.989] (-2026.500) (-2031.368) * (-2021.881) (-2024.271) (-2022.946) [-2020.808] -- 0:02:51
Average standard deviation of split frequencies: 0.017569
216000 -- (-2030.083) (-2029.226) [-2021.484] (-2018.975) * (-2027.499) (-2028.869) [-2028.607] (-2022.525) -- 0:02:50
217000 -- [-2027.609] (-2023.387) (-2021.595) (-2031.501) * (-2023.922) (-2029.125) (-2027.506) [-2019.593] -- 0:02:53
218000 -- (-2023.201) [-2017.039] (-2027.003) (-2026.190) * (-2026.374) [-2028.146] (-2021.312) (-2022.147) -- 0:02:52
219000 -- (-2036.904) (-2021.411) (-2024.810) [-2027.371] * (-2020.830) (-2028.812) [-2026.605] (-2023.818) -- 0:02:51
220000 -- (-2018.556) [-2030.665] (-2027.463) (-2023.855) * [-2017.047] (-2027.751) (-2030.466) (-2015.240) -- 0:02:50
Average standard deviation of split frequencies: 0.016770
221000 -- (-2018.841) (-2036.070) [-2021.687] (-2027.198) * (-2035.181) (-2029.500) (-2021.682) [-2018.221] -- 0:02:52
222000 -- [-2024.893] (-2027.390) (-2031.302) (-2029.603) * (-2025.943) [-2018.674] (-2022.054) (-2018.795) -- 0:02:51
223000 -- (-2022.596) [-2034.346] (-2033.021) (-2029.853) * [-2020.551] (-2028.609) (-2026.215) (-2029.728) -- 0:02:50
224000 -- (-2033.772) [-2027.076] (-2026.170) (-2026.621) * [-2018.987] (-2018.054) (-2024.921) (-2033.543) -- 0:02:49
225000 -- (-2024.762) (-2031.437) (-2032.610) [-2026.799] * (-2027.135) [-2025.869] (-2016.817) (-2027.618) -- 0:02:48
Average standard deviation of split frequencies: 0.015122
226000 -- (-2024.731) (-2030.821) [-2022.133] (-2015.308) * (-2036.636) (-2021.482) [-2022.885] (-2025.611) -- 0:02:51
227000 -- (-2028.395) (-2036.839) [-2031.450] (-2024.697) * (-2024.498) (-2028.229) [-2024.661] (-2026.348) -- 0:02:50
228000 -- (-2039.181) (-2029.514) [-2031.817] (-2019.487) * (-2023.527) [-2026.024] (-2018.256) (-2034.927) -- 0:02:49
229000 -- [-2031.149] (-2035.046) (-2029.852) (-2021.086) * [-2022.906] (-2025.616) (-2030.693) (-2027.703) -- 0:02:48
230000 -- (-2043.281) [-2020.628] (-2020.608) (-2025.490) * (-2028.642) (-2031.206) [-2025.173] (-2025.594) -- 0:02:50
Average standard deviation of split frequencies: 0.015838
231000 -- (-2026.485) (-2039.760) [-2019.302] (-2015.185) * (-2037.874) [-2025.673] (-2033.078) (-2035.892) -- 0:02:49
232000 -- [-2031.462] (-2029.667) (-2022.335) (-2031.422) * (-2026.576) (-2026.418) [-2018.432] (-2024.383) -- 0:02:48
233000 -- (-2027.988) [-2025.684] (-2017.964) (-2029.427) * (-2026.380) (-2021.795) [-2019.187] (-2023.295) -- 0:02:47
234000 -- (-2027.912) (-2023.858) [-2021.437] (-2029.472) * (-2028.482) [-2026.398] (-2027.189) (-2022.902) -- 0:02:46
235000 -- (-2021.428) [-2023.468] (-2037.801) (-2034.133) * (-2030.715) (-2033.382) [-2017.629] (-2022.449) -- 0:02:49
Average standard deviation of split frequencies: 0.015680
236000 -- (-2027.622) (-2029.693) (-2023.715) [-2035.309] * (-2032.746) (-2028.223) (-2035.518) [-2024.313] -- 0:02:48
237000 -- (-2041.430) [-2035.866] (-2030.538) (-2032.522) * (-2021.733) (-2020.989) [-2024.401] (-2028.445) -- 0:02:47
238000 -- [-2022.257] (-2027.444) (-2033.297) (-2021.400) * [-2032.013] (-2026.806) (-2031.957) (-2030.130) -- 0:02:46
239000 -- [-2018.560] (-2031.452) (-2025.573) (-2015.911) * [-2024.407] (-2027.117) (-2031.082) (-2022.904) -- 0:02:48
240000 -- (-2026.571) (-2019.595) [-2026.486] (-2024.224) * [-2025.650] (-2034.321) (-2018.864) (-2028.263) -- 0:02:47
Average standard deviation of split frequencies: 0.015572
241000 -- [-2020.634] (-2017.681) (-2035.033) (-2028.688) * (-2031.744) (-2024.868) (-2031.640) [-2023.416] -- 0:02:46
242000 -- (-2022.405) [-2025.014] (-2040.524) (-2037.018) * (-2032.868) (-2024.369) (-2029.278) [-2025.122] -- 0:02:46
243000 -- (-2028.164) (-2022.130) [-2023.773] (-2035.036) * [-2028.348] (-2030.215) (-2027.411) (-2031.601) -- 0:02:45
244000 -- (-2027.141) (-2046.319) (-2026.294) [-2021.117] * (-2029.962) (-2022.188) [-2018.409] (-2026.157) -- 0:02:47
245000 -- (-2035.518) (-2017.793) (-2033.998) [-2020.847] * (-2017.371) (-2026.843) [-2022.004] (-2031.579) -- 0:02:46
Average standard deviation of split frequencies: 0.015618
246000 -- (-2021.182) (-2019.032) (-2034.099) [-2026.825] * (-2022.700) (-2021.610) (-2029.827) [-2026.451] -- 0:02:45
247000 -- (-2045.690) (-2027.161) [-2027.359] (-2031.203) * (-2033.135) (-2024.527) [-2019.900] (-2023.628) -- 0:02:44
248000 -- (-2028.204) [-2019.762] (-2025.604) (-2025.033) * (-2028.316) [-2024.165] (-2026.844) (-2026.530) -- 0:02:46
249000 -- (-2030.822) (-2031.357) [-2022.125] (-2037.696) * (-2026.221) [-2024.936] (-2030.179) (-2025.352) -- 0:02:45
250000 -- [-2019.908] (-2025.784) (-2032.790) (-2026.556) * (-2024.807) (-2026.957) [-2025.815] (-2029.285) -- 0:02:45
Average standard deviation of split frequencies: 0.015421
251000 -- (-2030.300) [-2017.026] (-2034.099) (-2028.925) * (-2027.189) (-2029.892) [-2030.083] (-2039.565) -- 0:02:44
252000 -- (-2034.154) [-2024.965] (-2032.349) (-2022.338) * [-2017.954] (-2030.448) (-2025.913) (-2030.208) -- 0:02:43
253000 -- (-2030.489) (-2015.719) (-2027.094) [-2026.909] * (-2019.408) (-2029.730) (-2030.419) [-2025.968] -- 0:02:45
254000 -- (-2031.247) (-2024.534) [-2016.553] (-2018.128) * (-2026.856) [-2023.351] (-2031.526) (-2020.322) -- 0:02:44
255000 -- (-2035.897) (-2039.335) [-2028.459] (-2022.674) * (-2029.576) (-2031.035) (-2026.471) [-2021.939] -- 0:02:43
Average standard deviation of split frequencies: 0.014639
256000 -- (-2028.685) (-2027.222) [-2027.012] (-2035.928) * (-2027.164) (-2032.891) [-2021.204] (-2025.761) -- 0:02:42
257000 -- [-2028.650] (-2024.190) (-2035.914) (-2027.392) * (-2023.652) (-2026.506) [-2024.330] (-2031.406) -- 0:02:41
258000 -- (-2021.626) (-2020.407) [-2021.178] (-2025.231) * [-2026.017] (-2034.976) (-2023.725) (-2022.263) -- 0:02:43
259000 -- (-2025.070) (-2028.955) (-2024.320) [-2030.154] * (-2030.620) (-2029.485) (-2030.963) [-2018.178] -- 0:02:43
260000 -- (-2030.893) [-2036.749] (-2019.111) (-2030.221) * (-2033.998) (-2025.170) [-2021.347] (-2023.383) -- 0:02:42
Average standard deviation of split frequencies: 0.014377
261000 -- (-2034.325) [-2025.380] (-2021.335) (-2024.033) * (-2022.346) [-2028.098] (-2026.022) (-2021.836) -- 0:02:41
262000 -- (-2027.850) (-2019.904) (-2032.201) [-2021.378] * [-2016.551] (-2028.302) (-2019.100) (-2018.865) -- 0:02:43
263000 -- (-2020.791) (-2032.812) (-2034.775) [-2022.043] * (-2025.224) (-2020.335) (-2023.866) [-2031.872] -- 0:02:42
264000 -- [-2025.380] (-2027.207) (-2032.278) (-2028.373) * (-2021.170) [-2029.098] (-2024.216) (-2027.114) -- 0:02:41
265000 -- (-2034.831) [-2014.747] (-2021.950) (-2030.001) * [-2015.242] (-2020.165) (-2039.681) (-2031.942) -- 0:02:40
Average standard deviation of split frequencies: 0.013823
266000 -- [-2033.528] (-2036.161) (-2017.927) (-2028.601) * [-2019.071] (-2025.650) (-2026.367) (-2020.091) -- 0:02:40
267000 -- [-2026.525] (-2020.321) (-2019.327) (-2037.850) * (-2031.670) (-2018.744) [-2025.246] (-2024.357) -- 0:02:41
268000 -- [-2024.138] (-2018.862) (-2023.079) (-2031.020) * (-2020.067) (-2026.674) [-2023.742] (-2025.247) -- 0:02:41
269000 -- [-2027.123] (-2027.311) (-2033.584) (-2040.152) * [-2019.023] (-2021.403) (-2024.770) (-2019.775) -- 0:02:40
270000 -- (-2030.822) [-2021.224] (-2020.908) (-2032.360) * (-2027.520) (-2037.123) [-2014.420] (-2031.244) -- 0:02:39
Average standard deviation of split frequencies: 0.012975
271000 -- (-2028.503) (-2031.603) [-2017.355] (-2032.671) * (-2022.720) (-2030.288) (-2014.679) [-2020.397] -- 0:02:41
272000 -- (-2022.646) [-2017.821] (-2024.801) (-2033.110) * (-2017.717) (-2029.274) (-2028.048) [-2028.997] -- 0:02:40
273000 -- (-2019.242) [-2027.661] (-2021.674) (-2035.554) * (-2026.726) (-2020.866) [-2028.568] (-2031.453) -- 0:02:39
274000 -- (-2027.021) (-2026.022) [-2017.373] (-2022.512) * (-2032.431) [-2017.448] (-2025.888) (-2024.000) -- 0:02:38
275000 -- [-2028.393] (-2029.781) (-2038.954) (-2030.636) * (-2027.359) (-2022.568) [-2027.876] (-2032.778) -- 0:02:38
Average standard deviation of split frequencies: 0.013664
276000 -- (-2023.377) (-2019.471) (-2025.166) [-2024.990] * (-2036.878) [-2020.620] (-2032.582) (-2028.600) -- 0:02:40
277000 -- (-2031.970) [-2028.572] (-2022.386) (-2032.617) * (-2039.943) [-2020.942] (-2030.855) (-2020.169) -- 0:02:39
278000 -- (-2024.739) (-2040.341) (-2035.949) [-2020.268] * [-2025.285] (-2023.281) (-2023.755) (-2027.480) -- 0:02:38
279000 -- [-2018.375] (-2028.032) (-2036.790) (-2034.064) * (-2032.330) (-2026.806) [-2020.132] (-2031.174) -- 0:02:37
280000 -- (-2034.741) (-2027.041) [-2021.783] (-2032.299) * (-2029.730) (-2023.179) [-2026.029] (-2026.775) -- 0:02:39
Average standard deviation of split frequencies: 0.013941
281000 -- (-2024.309) (-2033.323) [-2019.957] (-2022.412) * [-2022.008] (-2018.043) (-2025.366) (-2029.365) -- 0:02:38
282000 -- (-2031.959) (-2024.824) (-2022.596) [-2018.713] * [-2028.315] (-2021.097) (-2017.622) (-2026.781) -- 0:02:37
283000 -- [-2030.877] (-2035.125) (-2027.166) (-2019.773) * (-2028.357) (-2028.099) [-2021.135] (-2030.966) -- 0:02:37
284000 -- (-2036.472) [-2021.281] (-2031.514) (-2026.041) * [-2024.682] (-2031.396) (-2017.272) (-2022.115) -- 0:02:36
285000 -- (-2033.460) (-2023.701) (-2023.913) [-2034.882] * (-2029.432) (-2020.820) (-2031.469) [-2019.262] -- 0:02:38
Average standard deviation of split frequencies: 0.012609
286000 -- (-2027.800) (-2044.499) [-2021.718] (-2029.194) * (-2026.910) (-2023.193) [-2020.146] (-2024.225) -- 0:02:37
287000 -- (-2032.225) (-2038.606) (-2022.726) [-2017.418] * (-2021.219) (-2019.344) (-2025.369) [-2022.718] -- 0:02:36
288000 -- (-2018.798) (-2047.274) [-2027.183] (-2022.183) * (-2017.144) (-2032.174) [-2026.635] (-2021.155) -- 0:02:35
289000 -- (-2023.874) (-2037.508) [-2039.825] (-2023.384) * (-2025.260) (-2020.948) (-2018.126) [-2025.941] -- 0:02:34
290000 -- (-2029.191) (-2029.924) (-2032.684) [-2024.724] * (-2025.537) [-2026.467] (-2025.662) (-2026.130) -- 0:02:36
Average standard deviation of split frequencies: 0.013380
291000 -- [-2038.094] (-2019.616) (-2034.802) (-2027.013) * (-2031.060) [-2024.061] (-2022.292) (-2019.870) -- 0:02:35
292000 -- [-2025.575] (-2045.384) (-2028.549) (-2024.328) * (-2024.355) (-2026.266) [-2030.978] (-2029.268) -- 0:02:35
293000 -- (-2030.668) (-2024.127) [-2021.752] (-2032.496) * (-2018.643) (-2026.896) [-2025.301] (-2017.509) -- 0:02:34
294000 -- (-2037.452) (-2024.516) [-2023.694] (-2024.691) * (-2026.546) (-2037.795) [-2022.752] (-2031.001) -- 0:02:36
295000 -- (-2026.146) (-2018.807) (-2026.398) [-2019.469] * (-2036.789) (-2035.399) (-2021.369) [-2026.895] -- 0:02:35
Average standard deviation of split frequencies: 0.013776
296000 -- (-2029.218) [-2019.532] (-2022.624) (-2024.542) * (-2022.493) (-2027.537) (-2036.715) [-2023.080] -- 0:02:34
297000 -- [-2021.763] (-2022.601) (-2028.703) (-2027.159) * (-2025.674) [-2028.120] (-2026.149) (-2024.291) -- 0:02:33
298000 -- (-2024.151) (-2020.376) [-2018.050] (-2033.456) * (-2038.556) [-2025.278] (-2025.343) (-2020.698) -- 0:02:33
299000 -- (-2031.161) (-2029.084) [-2020.424] (-2025.176) * [-2026.093] (-2029.903) (-2028.036) (-2019.105) -- 0:02:34
300000 -- (-2027.767) (-2021.620) (-2033.149) [-2022.489] * [-2020.444] (-2023.380) (-2023.754) (-2029.514) -- 0:02:34
Average standard deviation of split frequencies: 0.012543
301000 -- (-2017.824) (-2026.251) [-2024.796] (-2024.882) * (-2029.093) (-2035.696) (-2021.549) [-2021.511] -- 0:02:33
302000 -- [-2025.626] (-2029.591) (-2021.294) (-2024.784) * (-2027.696) [-2024.312] (-2028.022) (-2033.012) -- 0:02:32
303000 -- [-2024.961] (-2020.707) (-2024.678) (-2029.166) * (-2023.551) (-2021.297) (-2025.972) [-2020.606] -- 0:02:34
304000 -- (-2024.326) (-2037.913) (-2025.479) [-2022.227] * (-2039.815) [-2023.543] (-2033.831) (-2029.317) -- 0:02:33
305000 -- (-2035.610) (-2025.633) [-2018.801] (-2036.186) * (-2019.946) [-2029.793] (-2036.464) (-2020.376) -- 0:02:32
Average standard deviation of split frequencies: 0.011785
306000 -- (-2038.661) [-2019.577] (-2031.129) (-2024.032) * (-2023.871) (-2031.687) [-2029.599] (-2019.152) -- 0:02:31
307000 -- (-2025.264) (-2040.308) (-2039.740) [-2020.760] * (-2033.950) (-2022.069) (-2037.011) [-2019.419] -- 0:02:31
308000 -- (-2030.386) [-2031.964] (-2027.085) (-2022.411) * [-2028.327] (-2024.253) (-2026.629) (-2034.688) -- 0:02:32
309000 -- (-2034.697) (-2023.962) (-2021.236) [-2029.147] * (-2029.440) (-2041.328) [-2028.355] (-2029.231) -- 0:02:32
310000 -- (-2031.581) (-2028.958) (-2028.368) [-2035.076] * [-2034.993] (-2037.611) (-2019.984) (-2028.822) -- 0:02:31
Average standard deviation of split frequencies: 0.012139
311000 -- (-2025.949) [-2027.617] (-2026.580) (-2033.875) * [-2039.526] (-2030.254) (-2027.815) (-2032.093) -- 0:02:30
312000 -- (-2026.596) [-2030.894] (-2024.902) (-2025.347) * (-2030.353) (-2022.868) (-2036.036) [-2019.264] -- 0:02:32
313000 -- [-2027.443] (-2025.451) (-2031.003) (-2024.515) * (-2030.751) [-2021.730] (-2046.464) (-2039.988) -- 0:02:31
314000 -- (-2027.936) [-2018.180] (-2028.749) (-2029.303) * (-2034.140) [-2021.569] (-2034.759) (-2030.707) -- 0:02:30
315000 -- (-2024.194) [-2021.093] (-2024.852) (-2034.327) * [-2017.891] (-2025.638) (-2030.530) (-2022.629) -- 0:02:30
Average standard deviation of split frequencies: 0.011412
316000 -- (-2034.921) [-2032.240] (-2037.682) (-2028.258) * (-2027.606) (-2029.964) [-2020.864] (-2027.782) -- 0:02:29
317000 -- [-2020.854] (-2021.948) (-2031.476) (-2028.437) * (-2019.779) (-2030.570) (-2036.049) [-2024.400] -- 0:02:30
318000 -- [-2021.459] (-2027.777) (-2024.434) (-2024.190) * (-2027.933) (-2028.782) (-2028.193) [-2025.624] -- 0:02:30
319000 -- (-2026.208) (-2027.026) [-2027.767] (-2024.591) * [-2038.972] (-2033.507) (-2033.667) (-2034.157) -- 0:02:29
320000 -- (-2033.750) (-2017.279) (-2025.163) [-2024.022] * [-2022.489] (-2026.889) (-2024.734) (-2033.716) -- 0:02:28
Average standard deviation of split frequencies: 0.010732
321000 -- [-2030.898] (-2026.472) (-2029.164) (-2029.553) * (-2031.171) (-2019.088) [-2031.193] (-2036.043) -- 0:02:30
322000 -- (-2030.552) (-2021.411) [-2020.351] (-2026.837) * (-2027.049) (-2020.336) (-2032.826) [-2022.610] -- 0:02:29
323000 -- (-2026.025) [-2019.902] (-2028.567) (-2025.704) * (-2025.592) (-2019.673) [-2026.508] (-2030.869) -- 0:02:28
324000 -- (-2023.667) (-2019.185) [-2022.519] (-2017.688) * (-2028.085) [-2024.694] (-2035.274) (-2021.399) -- 0:02:28
325000 -- [-2023.073] (-2036.464) (-2021.910) (-2018.873) * [-2022.839] (-2029.664) (-2027.305) (-2020.003) -- 0:02:27
Average standard deviation of split frequencies: 0.010339
326000 -- (-2033.229) (-2031.900) (-2027.883) [-2031.510] * (-2036.117) (-2023.410) [-2022.100] (-2025.625) -- 0:02:28
327000 -- [-2029.308] (-2020.727) (-2022.360) (-2022.624) * (-2019.295) [-2022.489] (-2028.820) (-2026.328) -- 0:02:28
328000 -- (-2028.999) [-2019.561] (-2025.702) (-2035.808) * [-2022.784] (-2027.865) (-2025.207) (-2027.024) -- 0:02:27
329000 -- [-2018.742] (-2025.006) (-2026.212) (-2026.229) * (-2034.949) (-2026.600) [-2021.783] (-2036.154) -- 0:02:26
330000 -- (-2026.393) [-2026.846] (-2033.211) (-2034.296) * (-2023.512) (-2030.573) [-2022.598] (-2033.866) -- 0:02:28
Average standard deviation of split frequencies: 0.011191
331000 -- (-2026.620) (-2037.252) [-2025.926] (-2023.148) * [-2026.312] (-2031.092) (-2022.425) (-2035.025) -- 0:02:27
332000 -- (-2021.337) [-2027.915] (-2022.456) (-2026.475) * (-2032.248) (-2023.803) [-2022.575] (-2031.583) -- 0:02:26
333000 -- (-2020.167) (-2021.246) (-2030.740) [-2023.819] * (-2027.090) [-2021.368] (-2041.906) (-2022.673) -- 0:02:26
334000 -- (-2022.628) [-2022.903] (-2034.052) (-2027.890) * (-2036.047) [-2027.832] (-2028.647) (-2027.375) -- 0:02:25
335000 -- (-2030.939) [-2021.692] (-2028.699) (-2015.879) * (-2033.299) [-2026.071] (-2033.415) (-2028.141) -- 0:02:26
Average standard deviation of split frequencies: 0.009961
336000 -- (-2021.454) [-2027.293] (-2027.274) (-2023.686) * (-2030.193) (-2032.980) [-2029.759] (-2029.494) -- 0:02:26
337000 -- (-2035.571) (-2024.236) [-2025.855] (-2030.305) * [-2024.027] (-2031.305) (-2023.494) (-2036.435) -- 0:02:25
338000 -- [-2021.447] (-2026.533) (-2032.354) (-2023.253) * [-2029.914] (-2022.372) (-2027.844) (-2017.095) -- 0:02:24
339000 -- (-2028.617) [-2024.347] (-2027.483) (-2025.915) * [-2028.148] (-2023.864) (-2033.325) (-2044.602) -- 0:02:26
340000 -- (-2028.568) (-2034.496) [-2014.069] (-2030.298) * (-2028.223) (-2023.959) (-2029.770) [-2030.594] -- 0:02:25
Average standard deviation of split frequencies: 0.010517
341000 -- (-2021.178) (-2030.150) [-2019.842] (-2026.452) * (-2023.606) (-2025.475) [-2027.076] (-2037.575) -- 0:02:24
342000 -- [-2021.944] (-2040.818) (-2020.022) (-2024.679) * (-2025.601) [-2027.870] (-2036.490) (-2026.454) -- 0:02:24
343000 -- [-2022.290] (-2027.235) (-2030.744) (-2024.350) * [-2034.866] (-2036.954) (-2027.137) (-2026.768) -- 0:02:23
344000 -- (-2020.225) (-2016.441) [-2024.215] (-2035.197) * [-2018.654] (-2030.262) (-2023.391) (-2026.483) -- 0:02:24
345000 -- [-2024.927] (-2026.588) (-2037.102) (-2028.705) * [-2023.695] (-2024.651) (-2020.989) (-2031.056) -- 0:02:24
Average standard deviation of split frequencies: 0.009673
346000 -- (-2025.691) (-2034.089) (-2022.224) [-2018.163] * (-2032.031) (-2023.788) (-2022.520) [-2023.125] -- 0:02:23
347000 -- (-2021.394) (-2030.698) (-2022.046) [-2018.047] * [-2022.670] (-2035.171) (-2023.499) (-2033.017) -- 0:02:23
348000 -- [-2017.541] (-2030.289) (-2015.680) (-2025.687) * (-2029.342) [-2034.640] (-2016.546) (-2035.356) -- 0:02:24
349000 -- [-2025.807] (-2026.703) (-2035.527) (-2022.244) * (-2027.649) (-2029.919) (-2032.626) [-2034.189] -- 0:02:23
350000 -- (-2024.718) [-2023.276] (-2027.872) (-2028.716) * (-2024.825) [-2027.699] (-2026.426) (-2032.949) -- 0:02:23
Average standard deviation of split frequencies: 0.009545
351000 -- (-2026.342) (-2015.078) [-2022.645] (-2027.147) * [-2024.594] (-2020.611) (-2035.210) (-2026.431) -- 0:02:22
352000 -- [-2023.628] (-2023.450) (-2028.965) (-2029.536) * (-2032.443) (-2035.640) (-2023.444) [-2030.489] -- 0:02:21
353000 -- (-2023.291) [-2029.900] (-2031.772) (-2018.975) * (-2029.157) (-2029.643) [-2024.755] (-2028.991) -- 0:02:22
354000 -- [-2024.070] (-2035.583) (-2032.979) (-2032.718) * (-2032.811) (-2026.383) [-2028.118] (-2032.328) -- 0:02:22
355000 -- (-2021.028) (-2035.722) (-2026.797) [-2020.069] * (-2033.446) (-2020.852) (-2028.186) [-2028.861] -- 0:02:21
Average standard deviation of split frequencies: 0.010064
356000 -- [-2019.144] (-2026.764) (-2030.898) (-2034.494) * [-2022.412] (-2025.023) (-2020.587) (-2032.789) -- 0:02:21
357000 -- (-2026.512) (-2023.468) [-2028.141] (-2016.319) * (-2028.253) (-2032.975) [-2027.173] (-2039.174) -- 0:02:22
358000 -- (-2029.410) [-2022.607] (-2031.005) (-2030.865) * (-2025.712) (-2028.656) [-2022.905] (-2023.745) -- 0:02:21
359000 -- (-2029.939) (-2033.600) (-2036.707) [-2020.505] * (-2038.696) (-2023.869) (-2018.889) [-2016.774] -- 0:02:21
360000 -- (-2033.079) (-2026.621) [-2025.777] (-2021.551) * (-2029.871) (-2033.549) [-2024.741] (-2027.284) -- 0:02:20
Average standard deviation of split frequencies: 0.009541
361000 -- (-2036.917) [-2024.376] (-2024.929) (-2025.597) * (-2027.446) (-2027.828) [-2022.264] (-2020.452) -- 0:02:21
362000 -- [-2027.920] (-2027.173) (-2034.942) (-2028.121) * (-2024.924) [-2027.129] (-2022.028) (-2035.773) -- 0:02:20
363000 -- (-2024.448) (-2036.857) [-2025.313] (-2028.285) * (-2018.638) (-2024.863) (-2018.126) [-2023.130] -- 0:02:20
364000 -- (-2019.019) (-2026.800) [-2018.097] (-2029.644) * [-2028.055] (-2026.400) (-2024.291) (-2033.183) -- 0:02:19
365000 -- (-2024.436) [-2027.456] (-2036.942) (-2026.773) * (-2030.092) (-2027.943) (-2026.110) [-2023.452] -- 0:02:19
Average standard deviation of split frequencies: 0.010046
366000 -- (-2023.708) [-2017.371] (-2022.832) (-2036.023) * [-2023.600] (-2043.583) (-2035.526) (-2027.404) -- 0:02:20
367000 -- (-2027.005) [-2032.786] (-2019.720) (-2024.793) * (-2024.351) [-2016.658] (-2036.901) (-2031.960) -- 0:02:19
368000 -- (-2024.015) [-2019.296] (-2024.407) (-2021.066) * (-2025.934) [-2015.737] (-2024.354) (-2029.619) -- 0:02:19
369000 -- (-2032.366) [-2022.859] (-2033.545) (-2024.407) * (-2023.826) [-2017.220] (-2024.975) (-2022.454) -- 0:02:18
370000 -- (-2024.632) (-2033.784) (-2029.107) [-2031.788] * (-2019.515) (-2034.981) (-2026.666) [-2026.580] -- 0:02:19
Average standard deviation of split frequencies: 0.009793
371000 -- (-2020.937) (-2038.084) (-2028.008) [-2015.019] * (-2026.857) [-2023.093] (-2026.610) (-2030.740) -- 0:02:19
372000 -- [-2031.765] (-2032.008) (-2031.149) (-2017.543) * [-2026.431] (-2027.491) (-2031.286) (-2024.792) -- 0:02:18
373000 -- (-2017.817) (-2035.083) (-2030.063) [-2018.414] * (-2031.892) (-2024.234) (-2033.717) [-2023.516] -- 0:02:17
374000 -- (-2020.607) (-2028.614) (-2031.093) [-2036.275] * (-2027.417) (-2017.696) [-2020.964] (-2018.783) -- 0:02:17
375000 -- (-2029.784) [-2035.358] (-2038.893) (-2032.102) * (-2030.844) [-2030.740] (-2018.942) (-2032.007) -- 0:02:18
Average standard deviation of split frequencies: 0.009905
376000 -- (-2023.517) [-2023.902] (-2030.070) (-2018.640) * [-2026.886] (-2032.979) (-2027.287) (-2023.572) -- 0:02:17
377000 -- (-2023.945) (-2029.532) (-2026.622) [-2034.711] * (-2023.164) (-2037.883) (-2024.337) [-2030.863] -- 0:02:17
378000 -- (-2027.782) (-2033.405) [-2021.449] (-2036.094) * [-2021.231] (-2027.469) (-2020.136) (-2026.829) -- 0:02:16
379000 -- (-2033.230) (-2021.609) (-2035.670) [-2021.335] * (-2019.770) (-2039.409) (-2025.249) [-2018.974] -- 0:02:17
380000 -- [-2023.387] (-2022.310) (-2036.820) (-2027.996) * (-2030.918) [-2018.839] (-2021.694) (-2026.548) -- 0:02:17
Average standard deviation of split frequencies: 0.009969
381000 -- [-2017.226] (-2027.199) (-2024.742) (-2024.091) * (-2033.049) (-2022.198) [-2019.998] (-2028.196) -- 0:02:16
382000 -- (-2022.263) (-2021.759) (-2026.730) [-2021.639] * (-2029.682) (-2024.074) [-2016.721] (-2033.116) -- 0:02:15
383000 -- [-2018.235] (-2039.085) (-2025.359) (-2025.966) * (-2032.907) [-2019.310] (-2024.904) (-2024.939) -- 0:02:15
384000 -- (-2022.210) [-2024.886] (-2022.641) (-2024.447) * [-2024.770] (-2031.605) (-2033.889) (-2021.701) -- 0:02:16
385000 -- (-2032.572) (-2030.611) (-2019.821) [-2025.126] * [-2031.741] (-2027.377) (-2030.615) (-2036.000) -- 0:02:15
Average standard deviation of split frequencies: 0.010381
386000 -- [-2017.304] (-2030.407) (-2017.844) (-2023.037) * [-2020.973] (-2024.626) (-2028.729) (-2034.504) -- 0:02:15
387000 -- [-2023.086] (-2031.846) (-2029.604) (-2025.914) * (-2027.234) (-2029.935) (-2022.544) [-2031.704] -- 0:02:14
388000 -- [-2018.684] (-2026.029) (-2028.656) (-2027.550) * (-2015.637) [-2026.782] (-2031.463) (-2026.980) -- 0:02:15
389000 -- (-2022.325) (-2025.499) (-2028.287) [-2024.645] * (-2031.582) (-2026.005) [-2028.825] (-2029.744) -- 0:02:15
390000 -- (-2024.060) (-2027.994) (-2029.223) [-2032.892] * (-2020.205) [-2019.419] (-2021.211) (-2030.972) -- 0:02:14
Average standard deviation of split frequencies: 0.009714
391000 -- [-2022.487] (-2023.267) (-2023.256) (-2024.328) * (-2025.616) (-2030.211) (-2024.798) [-2028.287] -- 0:02:13
392000 -- (-2019.245) [-2029.819] (-2015.669) (-2036.842) * [-2022.283] (-2029.664) (-2031.276) (-2029.829) -- 0:02:13
393000 -- [-2024.140] (-2016.680) (-2025.106) (-2037.425) * (-2028.155) [-2024.679] (-2034.240) (-2030.148) -- 0:02:14
394000 -- (-2027.485) (-2033.916) [-2015.153] (-2026.734) * (-2025.141) (-2023.432) [-2019.373] (-2029.268) -- 0:02:13
395000 -- (-2030.026) (-2022.451) (-2027.124) [-2033.106] * (-2024.469) [-2025.406] (-2022.834) (-2024.987) -- 0:02:13
Average standard deviation of split frequencies: 0.009880
396000 -- (-2027.277) (-2020.840) (-2024.310) [-2028.687] * (-2028.584) [-2025.305] (-2020.333) (-2016.458) -- 0:02:12
397000 -- (-2022.185) [-2022.544] (-2028.981) (-2025.355) * (-2024.030) (-2024.818) [-2016.789] (-2028.950) -- 0:02:12
398000 -- (-2035.863) [-2019.745] (-2020.922) (-2028.833) * (-2025.760) (-2031.193) (-2034.809) [-2030.315] -- 0:02:13
399000 -- (-2025.063) [-2021.072] (-2023.368) (-2022.394) * (-2025.197) (-2020.190) [-2029.393] (-2022.969) -- 0:02:12
400000 -- [-2017.990] (-2019.821) (-2033.258) (-2018.689) * [-2030.317] (-2014.606) (-2030.268) (-2025.901) -- 0:02:12
Average standard deviation of split frequencies: 0.009236
401000 -- [-2027.452] (-2027.498) (-2033.050) (-2023.652) * (-2025.493) (-2020.285) (-2025.631) [-2023.468] -- 0:02:11
402000 -- (-2035.536) (-2028.621) (-2031.481) [-2022.875] * (-2016.041) (-2029.260) (-2027.504) [-2033.416] -- 0:02:12
403000 -- (-2018.150) [-2021.190] (-2028.675) (-2031.508) * (-2024.956) (-2028.428) (-2026.044) [-2032.191] -- 0:02:11
404000 -- [-2022.016] (-2031.061) (-2021.406) (-2026.811) * (-2017.999) (-2023.314) (-2039.805) [-2020.740] -- 0:02:11
405000 -- [-2015.365] (-2028.326) (-2030.170) (-2024.844) * [-2020.790] (-2022.564) (-2024.642) (-2023.169) -- 0:02:10
Average standard deviation of split frequencies: 0.009695
406000 -- (-2027.279) [-2033.206] (-2024.227) (-2041.788) * (-2016.757) [-2023.410] (-2017.729) (-2023.325) -- 0:02:10
407000 -- (-2033.245) (-2023.571) (-2020.632) [-2024.936] * (-2035.418) (-2030.671) [-2027.345] (-2030.319) -- 0:02:11
408000 -- [-2022.247] (-2027.264) (-2032.652) (-2034.240) * (-2025.497) (-2019.994) [-2020.552] (-2023.872) -- 0:02:10
409000 -- [-2024.266] (-2022.391) (-2039.032) (-2026.193) * (-2036.156) (-2023.719) [-2026.938] (-2021.157) -- 0:02:10
410000 -- (-2019.721) (-2027.555) (-2021.675) [-2027.500] * (-2022.222) (-2022.989) (-2021.221) [-2020.263] -- 0:02:09
Average standard deviation of split frequencies: 0.009470
411000 -- (-2035.370) [-2023.881] (-2022.649) (-2031.580) * (-2029.690) (-2021.747) (-2026.973) [-2023.914] -- 0:02:10
412000 -- [-2028.711] (-2028.708) (-2017.147) (-2032.058) * (-2029.946) [-2022.448] (-2033.711) (-2022.371) -- 0:02:09
413000 -- (-2016.941) (-2033.089) [-2041.680] (-2037.572) * (-2033.323) (-2024.860) (-2027.909) [-2023.507] -- 0:02:09
414000 -- (-2015.438) (-2019.868) (-2022.896) [-2037.933] * (-2025.990) (-2031.225) (-2021.179) [-2021.733] -- 0:02:08
415000 -- (-2036.895) (-2022.718) (-2032.801) [-2028.283] * (-2033.398) (-2038.779) (-2027.825) [-2022.448] -- 0:02:08
Average standard deviation of split frequencies: 0.009632
416000 -- (-2032.980) (-2030.717) (-2023.950) [-2033.929] * (-2021.370) [-2029.043] (-2030.497) (-2028.298) -- 0:02:09
417000 -- (-2028.481) [-2021.171] (-2024.213) (-2029.541) * [-2020.691] (-2024.592) (-2028.545) (-2022.645) -- 0:02:08
418000 -- (-2037.507) (-2019.064) [-2021.158] (-2024.602) * (-2024.510) [-2023.538] (-2029.211) (-2020.909) -- 0:02:08
419000 -- (-2018.190) (-2028.891) [-2017.240] (-2022.346) * [-2035.112] (-2020.509) (-2034.752) (-2021.487) -- 0:02:07
420000 -- (-2035.784) (-2034.772) [-2022.457] (-2031.744) * (-2030.037) [-2022.890] (-2031.134) (-2031.888) -- 0:02:08
Average standard deviation of split frequencies: 0.009581
421000 -- (-2033.387) (-2041.453) (-2028.096) [-2030.477] * (-2036.737) (-2023.642) [-2024.103] (-2018.964) -- 0:02:07
422000 -- [-2035.753] (-2023.936) (-2031.301) (-2023.109) * [-2018.615] (-2026.691) (-2031.299) (-2023.634) -- 0:02:07
423000 -- (-2041.014) (-2031.908) [-2018.797] (-2023.979) * (-2019.518) [-2018.431] (-2031.793) (-2022.882) -- 0:02:06
424000 -- (-2035.217) (-2039.975) [-2028.739] (-2028.765) * [-2020.023] (-2031.874) (-2030.484) (-2035.695) -- 0:02:07
425000 -- (-2035.461) (-2030.188) (-2015.776) [-2028.186] * (-2021.571) (-2023.965) [-2023.171] (-2036.759) -- 0:02:07
Average standard deviation of split frequencies: 0.010734
426000 -- [-2030.642] (-2018.906) (-2025.259) (-2029.913) * (-2028.379) (-2049.531) [-2020.187] (-2028.132) -- 0:02:06
427000 -- (-2041.956) (-2021.492) [-2023.241] (-2032.163) * [-2015.270] (-2033.836) (-2022.130) (-2028.256) -- 0:02:06
428000 -- (-2043.008) [-2027.407] (-2021.416) (-2027.553) * [-2025.728] (-2033.493) (-2023.988) (-2025.131) -- 0:02:06
429000 -- (-2024.019) (-2029.024) (-2028.833) [-2030.910] * [-2020.609] (-2025.134) (-2038.212) (-2028.850) -- 0:02:06
430000 -- [-2028.888] (-2039.804) (-2025.690) (-2032.357) * [-2028.350] (-2024.236) (-2020.436) (-2034.777) -- 0:02:05
Average standard deviation of split frequencies: 0.010727
431000 -- (-2028.525) (-2030.449) (-2041.057) [-2021.887] * [-2024.908] (-2017.101) (-2018.842) (-2020.960) -- 0:02:05
432000 -- [-2023.595] (-2031.300) (-2045.659) (-2030.317) * [-2019.700] (-2036.332) (-2030.479) (-2028.246) -- 0:02:04
433000 -- [-2023.716] (-2024.454) (-2037.583) (-2039.465) * (-2031.107) (-2025.880) (-2026.462) [-2025.789] -- 0:02:05
434000 -- [-2020.560] (-2027.048) (-2039.924) (-2029.531) * (-2026.692) (-2034.918) [-2017.785] (-2020.686) -- 0:02:05
435000 -- (-2027.205) (-2026.379) [-2029.943] (-2029.744) * [-2018.183] (-2027.980) (-2017.463) (-2025.386) -- 0:02:04
Average standard deviation of split frequencies: 0.010434
436000 -- (-2024.361) [-2018.918] (-2037.038) (-2023.051) * (-2024.776) (-2032.225) [-2029.674] (-2022.375) -- 0:02:04
437000 -- (-2027.189) [-2016.739] (-2032.843) (-2027.854) * [-2025.374] (-2039.224) (-2025.441) (-2030.052) -- 0:02:04
438000 -- [-2022.422] (-2020.196) (-2025.581) (-2024.993) * (-2034.541) (-2025.817) (-2015.730) [-2025.254] -- 0:02:04
439000 -- (-2027.113) (-2026.396) (-2017.585) [-2029.399] * [-2024.083] (-2026.726) (-2022.742) (-2034.693) -- 0:02:03
440000 -- [-2022.700] (-2037.587) (-2025.042) (-2024.832) * (-2036.154) [-2020.193] (-2015.942) (-2032.385) -- 0:02:03
Average standard deviation of split frequencies: 0.010163
441000 -- (-2031.655) (-2023.076) (-2034.353) [-2025.687] * (-2023.293) (-2018.328) (-2023.855) [-2026.925] -- 0:02:04
442000 -- (-2030.277) [-2030.354] (-2026.385) (-2027.183) * [-2026.479] (-2032.615) (-2030.432) (-2028.101) -- 0:02:03
443000 -- (-2037.230) (-2026.974) (-2022.205) [-2022.793] * (-2027.347) (-2022.294) (-2024.878) [-2025.369] -- 0:02:03
444000 -- (-2022.068) [-2026.132] (-2032.752) (-2016.161) * (-2017.986) (-2024.678) [-2028.516] (-2029.281) -- 0:02:02
445000 -- [-2021.658] (-2025.860) (-2029.637) (-2025.642) * [-2018.473] (-2031.853) (-2018.679) (-2025.623) -- 0:02:03
Average standard deviation of split frequencies: 0.010834
446000 -- (-2025.416) [-2027.570] (-2026.552) (-2034.045) * (-2027.734) (-2020.475) (-2027.890) [-2020.353] -- 0:02:02
447000 -- (-2028.056) [-2019.749] (-2024.700) (-2030.872) * [-2019.186] (-2028.918) (-2020.278) (-2022.611) -- 0:02:02
448000 -- [-2019.607] (-2030.116) (-2037.098) (-2022.792) * (-2024.374) (-2021.508) [-2025.851] (-2026.865) -- 0:02:01
449000 -- (-2035.473) (-2037.745) [-2027.923] (-2014.942) * (-2022.583) (-2027.335) [-2019.699] (-2034.262) -- 0:02:01
450000 -- (-2030.575) [-2033.240] (-2029.628) (-2033.523) * [-2026.815] (-2028.812) (-2022.505) (-2019.241) -- 0:02:02
Average standard deviation of split frequencies: 0.011035
451000 -- (-2029.344) (-2025.636) (-2028.614) [-2024.523] * [-2016.233] (-2023.272) (-2029.854) (-2029.893) -- 0:02:01
452000 -- [-2031.748] (-2032.320) (-2024.023) (-2018.225) * [-2024.523] (-2022.480) (-2025.376) (-2020.630) -- 0:02:01
453000 -- (-2032.970) (-2024.872) [-2017.023] (-2025.172) * (-2024.023) [-2018.073] (-2022.986) (-2028.510) -- 0:02:00
454000 -- (-2036.824) (-2032.781) [-2029.320] (-2032.876) * (-2030.179) (-2034.586) [-2021.205] (-2024.998) -- 0:02:01
455000 -- (-2042.311) (-2023.811) [-2024.661] (-2023.884) * (-2029.986) (-2026.989) (-2041.263) [-2029.530] -- 0:02:00
Average standard deviation of split frequencies: 0.011630
456000 -- (-2032.639) (-2025.624) [-2023.496] (-2018.509) * (-2034.265) [-2021.158] (-2027.291) (-2018.141) -- 0:02:00
457000 -- (-2030.345) (-2027.628) (-2028.885) [-2027.025] * (-2022.377) (-2026.222) (-2030.378) [-2029.436] -- 0:02:00
458000 -- (-2023.796) [-2027.222] (-2028.223) (-2024.684) * (-2023.127) [-2023.062] (-2028.511) (-2023.744) -- 0:01:59
459000 -- [-2024.744] (-2022.166) (-2029.364) (-2024.290) * [-2023.691] (-2020.806) (-2014.929) (-2026.837) -- 0:02:00
460000 -- (-2024.366) (-2026.663) (-2030.407) [-2027.351] * [-2028.089] (-2024.819) (-2024.342) (-2022.169) -- 0:01:59
Average standard deviation of split frequencies: 0.012126
461000 -- [-2024.571] (-2027.835) (-2033.002) (-2026.675) * (-2026.533) (-2019.198) (-2036.170) [-2016.952] -- 0:01:59
462000 -- (-2026.227) [-2028.152] (-2035.290) (-2016.711) * (-2038.008) (-2029.168) [-2026.312] (-2031.278) -- 0:01:58
463000 -- (-2021.175) (-2031.006) [-2030.143] (-2027.718) * (-2017.865) (-2025.656) [-2024.998] (-2028.842) -- 0:01:59
464000 -- (-2031.540) [-2027.328] (-2022.166) (-2033.606) * (-2032.646) (-2029.122) (-2028.307) [-2023.814] -- 0:01:58
465000 -- (-2025.424) (-2029.184) (-2036.557) [-2023.123] * (-2026.124) [-2030.948] (-2029.421) (-2028.706) -- 0:01:58
Average standard deviation of split frequencies: 0.012392
466000 -- (-2024.085) (-2023.937) (-2027.795) [-2019.750] * (-2041.968) (-2035.232) [-2031.628] (-2025.344) -- 0:01:58
467000 -- [-2027.577] (-2025.573) (-2030.553) (-2032.521) * (-2027.626) (-2022.953) (-2026.094) [-2026.866] -- 0:01:57
468000 -- (-2026.884) (-2028.943) [-2027.278] (-2026.375) * (-2021.623) [-2019.468] (-2026.276) (-2024.175) -- 0:01:58
469000 -- [-2019.529] (-2022.536) (-2038.621) (-2033.630) * (-2021.838) [-2022.546] (-2027.847) (-2021.135) -- 0:01:57
470000 -- [-2028.578] (-2021.831) (-2021.776) (-2025.043) * (-2023.726) [-2034.492] (-2028.848) (-2024.202) -- 0:01:57
Average standard deviation of split frequencies: 0.012770
471000 -- (-2024.252) (-2032.407) [-2021.227] (-2023.768) * (-2025.060) (-2036.990) [-2022.954] (-2027.332) -- 0:01:56
472000 -- (-2020.969) [-2025.136] (-2020.613) (-2032.593) * [-2021.683] (-2034.722) (-2019.836) (-2019.637) -- 0:01:57
473000 -- [-2022.860] (-2034.672) (-2019.414) (-2029.707) * [-2024.993] (-2019.791) (-2022.693) (-2025.764) -- 0:01:56
474000 -- (-2024.577) (-2025.478) [-2022.647] (-2038.243) * (-2024.840) [-2025.323] (-2028.939) (-2022.302) -- 0:01:56
475000 -- (-2028.842) (-2034.837) (-2025.989) [-2023.700] * (-2022.417) (-2024.701) (-2027.913) [-2030.580] -- 0:01:56
Average standard deviation of split frequencies: 0.012132
476000 -- (-2025.075) [-2030.397] (-2035.076) (-2033.883) * (-2030.821) (-2031.337) [-2023.950] (-2041.826) -- 0:01:55
477000 -- (-2017.534) (-2030.198) [-2021.079] (-2037.313) * (-2030.648) [-2033.234] (-2026.928) (-2033.800) -- 0:01:56
478000 -- [-2018.502] (-2030.740) (-2024.340) (-2022.707) * (-2024.245) (-2031.158) (-2026.980) [-2022.374] -- 0:01:55
479000 -- [-2022.071] (-2029.080) (-2030.762) (-2037.888) * (-2032.124) [-2023.074] (-2021.470) (-2024.265) -- 0:01:55
480000 -- (-2024.731) (-2024.546) [-2026.286] (-2024.608) * [-2016.633] (-2024.243) (-2026.604) (-2031.599) -- 0:01:54
Average standard deviation of split frequencies: 0.011769
481000 -- (-2030.381) [-2023.112] (-2030.769) (-2020.897) * (-2025.217) (-2030.570) [-2022.579] (-2029.214) -- 0:01:55
482000 -- (-2034.994) (-2029.709) (-2027.094) [-2032.431] * (-2023.872) (-2040.629) [-2028.164] (-2032.902) -- 0:01:54
483000 -- [-2024.113] (-2022.021) (-2027.145) (-2031.522) * (-2034.242) (-2020.690) [-2033.333] (-2023.437) -- 0:01:54
484000 -- (-2020.426) (-2020.749) (-2031.609) [-2022.623] * (-2024.917) [-2015.432] (-2033.614) (-2027.857) -- 0:01:54
485000 -- [-2032.792] (-2025.157) (-2031.875) (-2032.780) * (-2026.952) [-2017.822] (-2027.868) (-2035.953) -- 0:01:53
Average standard deviation of split frequencies: 0.012561
486000 -- (-2033.516) [-2021.497] (-2029.728) (-2030.204) * (-2038.348) (-2026.895) (-2028.355) [-2024.360] -- 0:01:54
487000 -- (-2038.931) (-2022.632) (-2024.243) [-2016.616] * (-2023.775) (-2031.784) (-2029.830) [-2028.800] -- 0:01:53
488000 -- [-2021.392] (-2030.427) (-2031.429) (-2023.188) * [-2021.266] (-2036.092) (-2025.506) (-2027.397) -- 0:01:53
489000 -- (-2026.709) (-2026.534) (-2031.616) [-2022.840] * [-2024.896] (-2030.657) (-2025.932) (-2025.882) -- 0:01:52
490000 -- [-2028.177] (-2023.400) (-2023.001) (-2033.443) * (-2039.957) (-2028.578) (-2026.862) [-2021.766] -- 0:01:52
Average standard deviation of split frequencies: 0.013354
491000 -- (-2041.087) (-2024.633) [-2021.605] (-2029.238) * (-2032.757) [-2028.609] (-2031.212) (-2034.729) -- 0:01:52
492000 -- (-2026.331) [-2022.435] (-2019.728) (-2031.745) * (-2032.197) [-2021.617] (-2031.355) (-2031.378) -- 0:01:52
493000 -- (-2036.653) (-2025.289) (-2029.104) [-2014.524] * (-2025.142) (-2034.471) [-2027.106] (-2022.986) -- 0:01:52
494000 -- (-2028.837) (-2028.242) (-2029.218) [-2023.597] * (-2023.682) (-2037.547) [-2019.023] (-2035.463) -- 0:01:51
495000 -- (-2026.202) [-2026.819] (-2032.025) (-2021.309) * (-2016.358) (-2034.103) [-2026.482] (-2032.094) -- 0:01:52
Average standard deviation of split frequencies: 0.013591
496000 -- [-2025.576] (-2025.419) (-2022.135) (-2020.644) * (-2017.116) [-2023.912] (-2023.805) (-2026.046) -- 0:01:51
497000 -- [-2024.415] (-2034.070) (-2027.178) (-2021.273) * (-2027.296) (-2024.761) (-2033.188) [-2021.297] -- 0:01:51
498000 -- (-2029.305) (-2032.754) [-2021.741] (-2022.339) * (-2042.472) (-2018.730) (-2034.598) [-2025.660] -- 0:01:50
499000 -- (-2024.589) (-2024.386) [-2030.896] (-2025.162) * [-2024.408] (-2027.095) (-2039.717) (-2029.807) -- 0:01:50
500000 -- (-2026.057) (-2034.766) [-2024.053] (-2028.166) * (-2035.235) (-2035.159) [-2024.653] (-2022.853) -- 0:01:51
Average standard deviation of split frequencies: 0.012852
501000 -- (-2032.118) (-2027.679) [-2021.072] (-2030.263) * (-2029.604) (-2021.252) (-2027.050) [-2028.492] -- 0:01:50
502000 -- [-2017.567] (-2027.917) (-2026.537) (-2030.478) * (-2039.499) [-2017.896] (-2023.541) (-2025.637) -- 0:01:50
503000 -- [-2020.012] (-2037.868) (-2027.957) (-2027.871) * (-2035.336) [-2017.299] (-2022.970) (-2022.992) -- 0:01:49
504000 -- [-2024.111] (-2026.522) (-2024.079) (-2026.295) * (-2045.262) (-2032.869) (-2033.134) [-2028.271] -- 0:01:50
505000 -- (-2027.410) [-2022.836] (-2026.620) (-2039.218) * [-2018.897] (-2035.244) (-2035.011) (-2019.785) -- 0:01:49
Average standard deviation of split frequencies: 0.012530
506000 -- (-2018.086) (-2027.571) [-2024.550] (-2036.743) * (-2023.863) (-2030.067) [-2022.885] (-2027.871) -- 0:01:49
507000 -- [-2028.620] (-2027.139) (-2027.338) (-2033.653) * (-2028.290) (-2029.374) [-2024.380] (-2021.134) -- 0:01:48
508000 -- (-2026.051) [-2024.873] (-2024.514) (-2026.056) * (-2032.347) [-2031.618] (-2030.663) (-2026.503) -- 0:01:48
509000 -- (-2026.381) (-2034.022) [-2026.035] (-2019.252) * [-2025.594] (-2024.143) (-2026.430) (-2028.095) -- 0:01:49
510000 -- (-2022.433) [-2035.019] (-2038.067) (-2017.333) * [-2019.080] (-2026.121) (-2029.058) (-2024.818) -- 0:01:48
Average standard deviation of split frequencies: 0.011724
511000 -- (-2023.099) (-2019.591) (-2031.157) [-2020.846] * (-2024.512) [-2021.271] (-2029.434) (-2033.549) -- 0:01:48
512000 -- (-2026.220) [-2034.193] (-2028.274) (-2020.792) * [-2022.645] (-2028.219) (-2040.370) (-2026.239) -- 0:01:47
513000 -- (-2030.513) [-2023.410] (-2036.479) (-2019.960) * (-2023.212) [-2020.962] (-2025.612) (-2031.737) -- 0:01:48
514000 -- (-2030.706) (-2024.536) [-2023.372] (-2032.068) * (-2026.637) (-2021.158) [-2021.212] (-2032.257) -- 0:01:47
515000 -- (-2030.549) (-2027.089) [-2026.257] (-2049.726) * (-2027.059) [-2026.339] (-2023.474) (-2033.124) -- 0:01:47
Average standard deviation of split frequencies: 0.011328
516000 -- (-2033.714) [-2031.747] (-2023.151) (-2032.955) * (-2029.547) (-2016.434) [-2023.822] (-2032.974) -- 0:01:46
517000 -- (-2036.612) [-2028.996] (-2024.404) (-2045.100) * (-2022.248) (-2030.378) [-2016.020] (-2035.500) -- 0:01:46
518000 -- (-2028.894) (-2022.972) [-2025.431] (-2029.179) * (-2028.225) (-2033.361) (-2032.783) [-2035.070] -- 0:01:47
519000 -- (-2028.499) (-2033.885) [-2023.071] (-2019.241) * (-2031.555) [-2022.543] (-2031.746) (-2029.139) -- 0:01:46
520000 -- (-2021.666) [-2021.871] (-2032.489) (-2020.496) * (-2024.718) [-2030.352] (-2024.660) (-2022.631) -- 0:01:46
Average standard deviation of split frequencies: 0.011589
521000 -- (-2021.371) [-2030.126] (-2025.117) (-2041.813) * [-2024.697] (-2025.722) (-2019.660) (-2024.667) -- 0:01:45
522000 -- [-2017.643] (-2027.358) (-2019.896) (-2021.649) * (-2029.418) (-2025.458) [-2025.854] (-2034.862) -- 0:01:46
523000 -- (-2040.602) [-2021.893] (-2031.029) (-2021.138) * (-2026.734) (-2029.621) [-2024.901] (-2036.899) -- 0:01:45
524000 -- (-2028.961) (-2036.474) [-2024.558] (-2022.866) * [-2030.023] (-2030.661) (-2022.865) (-2025.386) -- 0:01:45
525000 -- (-2030.818) (-2027.437) [-2029.372] (-2036.729) * (-2035.357) [-2021.893] (-2023.923) (-2023.443) -- 0:01:44
Average standard deviation of split frequencies: 0.011651
526000 -- (-2030.894) [-2026.068] (-2025.184) (-2036.165) * (-2028.893) [-2018.970] (-2025.324) (-2027.688) -- 0:01:44
527000 -- [-2019.735] (-2025.749) (-2037.652) (-2031.370) * (-2030.049) (-2021.433) [-2027.010] (-2026.221) -- 0:01:45
528000 -- (-2035.063) (-2022.789) [-2030.429] (-2030.015) * (-2026.588) (-2023.552) (-2026.868) [-2023.186] -- 0:01:44
529000 -- (-2024.599) [-2017.852] (-2030.691) (-2030.871) * (-2031.949) [-2019.967] (-2030.420) (-2027.222) -- 0:01:44
530000 -- (-2029.090) (-2018.441) [-2022.463] (-2028.698) * (-2030.534) (-2021.324) [-2016.866] (-2031.606) -- 0:01:43
Average standard deviation of split frequencies: 0.011726
531000 -- (-2025.721) (-2025.787) (-2033.518) [-2019.356] * (-2022.291) [-2022.526] (-2035.664) (-2026.705) -- 0:01:43
532000 -- (-2024.572) (-2023.682) [-2021.332] (-2030.030) * [-2021.348] (-2026.388) (-2030.621) (-2031.223) -- 0:01:43
533000 -- (-2028.884) (-2034.661) [-2026.764] (-2026.191) * [-2021.960] (-2027.569) (-2022.058) (-2039.584) -- 0:01:43
534000 -- (-2033.207) (-2025.787) (-2024.032) [-2019.953] * (-2022.962) [-2028.235] (-2023.256) (-2037.372) -- 0:01:42
535000 -- (-2033.922) [-2019.463] (-2036.153) (-2024.585) * (-2034.395) (-2032.186) [-2016.794] (-2033.233) -- 0:01:42
Average standard deviation of split frequencies: 0.011741
536000 -- (-2027.713) [-2018.372] (-2027.928) (-2023.658) * (-2037.878) (-2036.222) (-2022.378) [-2029.055] -- 0:01:43
537000 -- [-2033.532] (-2022.619) (-2022.465) (-2028.288) * (-2024.823) (-2029.798) (-2030.350) [-2024.993] -- 0:01:42
538000 -- [-2028.692] (-2031.616) (-2027.935) (-2026.482) * (-2025.092) [-2019.870] (-2032.789) (-2020.427) -- 0:01:42
539000 -- (-2031.222) [-2023.868] (-2020.221) (-2025.583) * (-2025.158) [-2029.821] (-2031.787) (-2028.144) -- 0:01:41
540000 -- (-2029.256) (-2022.463) (-2038.629) [-2024.200] * (-2034.091) [-2029.921] (-2032.823) (-2023.207) -- 0:01:41
Average standard deviation of split frequencies: 0.011335
541000 -- [-2029.755] (-2032.682) (-2023.555) (-2017.544) * [-2023.569] (-2025.840) (-2035.235) (-2032.622) -- 0:01:41
542000 -- [-2022.527] (-2037.046) (-2027.628) (-2016.947) * [-2026.975] (-2040.879) (-2020.031) (-2033.541) -- 0:01:41
543000 -- (-2030.854) (-2028.064) [-2024.164] (-2020.001) * (-2021.301) (-2026.085) (-2021.751) [-2029.365] -- 0:01:40
544000 -- (-2026.879) [-2036.351] (-2030.807) (-2025.161) * (-2021.786) (-2036.991) [-2029.960] (-2031.850) -- 0:01:40
545000 -- (-2022.408) [-2025.820] (-2029.444) (-2021.702) * (-2023.439) (-2029.740) (-2022.196) [-2021.877] -- 0:01:41
Average standard deviation of split frequencies: 0.010922
546000 -- [-2022.619] (-2023.577) (-2020.452) (-2026.554) * [-2022.785] (-2029.681) (-2030.903) (-2037.216) -- 0:01:40
547000 -- [-2021.280] (-2018.274) (-2026.077) (-2019.996) * (-2028.872) [-2022.983] (-2023.102) (-2023.963) -- 0:01:40
548000 -- (-2026.791) (-2031.404) (-2021.355) [-2022.391] * (-2021.107) (-2031.620) (-2040.848) [-2026.176] -- 0:01:39
549000 -- (-2030.628) [-2016.973] (-2020.836) (-2023.526) * [-2016.867] (-2033.096) (-2021.970) (-2024.725) -- 0:01:40
550000 -- (-2025.577) [-2022.270] (-2030.190) (-2039.318) * (-2032.315) [-2028.988] (-2027.400) (-2030.871) -- 0:01:39
Average standard deviation of split frequencies: 0.011557
551000 -- (-2025.282) (-2024.621) [-2023.626] (-2031.751) * (-2026.872) (-2021.553) [-2024.195] (-2033.723) -- 0:01:39
552000 -- (-2033.136) (-2033.898) [-2018.674] (-2018.066) * (-2030.319) [-2026.707] (-2024.992) (-2031.177) -- 0:01:39
553000 -- [-2018.421] (-2023.300) (-2025.994) (-2023.716) * (-2022.415) (-2026.050) [-2016.383] (-2035.533) -- 0:01:38
554000 -- (-2029.906) (-2024.814) (-2018.704) [-2022.200] * (-2030.285) (-2033.274) (-2027.448) [-2033.043] -- 0:01:39
555000 -- (-2031.482) [-2019.419] (-2018.935) (-2029.389) * (-2029.086) (-2026.972) [-2020.076] (-2037.458) -- 0:01:38
Average standard deviation of split frequencies: 0.011955
556000 -- [-2029.356] (-2028.943) (-2032.134) (-2031.510) * (-2030.007) (-2028.023) [-2028.505] (-2038.707) -- 0:01:38
557000 -- (-2029.696) (-2029.690) [-2022.264] (-2032.377) * (-2036.366) (-2023.584) [-2017.638] (-2023.876) -- 0:01:37
558000 -- [-2026.043] (-2022.422) (-2026.875) (-2031.621) * (-2028.280) (-2024.478) (-2033.665) [-2030.438] -- 0:01:37
559000 -- (-2031.772) (-2024.298) (-2029.353) [-2023.492] * [-2021.922] (-2037.656) (-2021.760) (-2026.851) -- 0:01:37
560000 -- (-2027.693) [-2017.836] (-2027.453) (-2026.183) * (-2024.432) [-2034.507] (-2027.985) (-2027.032) -- 0:01:37
Average standard deviation of split frequencies: 0.012107
561000 -- (-2026.200) (-2027.629) (-2039.125) [-2023.652] * [-2032.014] (-2032.997) (-2027.956) (-2023.903) -- 0:01:37
562000 -- (-2017.929) (-2033.359) [-2021.806] (-2028.824) * (-2031.725) [-2024.824] (-2036.143) (-2019.426) -- 0:01:36
563000 -- (-2027.662) (-2026.524) [-2020.777] (-2024.168) * [-2028.006] (-2030.964) (-2038.030) (-2033.801) -- 0:01:37
564000 -- [-2023.243] (-2017.783) (-2032.402) (-2027.600) * (-2035.151) (-2028.009) [-2024.415] (-2040.070) -- 0:01:36
565000 -- (-2018.972) [-2027.569] (-2034.491) (-2023.460) * (-2029.758) [-2038.404] (-2031.956) (-2023.330) -- 0:01:36
Average standard deviation of split frequencies: 0.011910
566000 -- (-2021.044) (-2043.352) (-2025.250) [-2023.338] * (-2027.029) (-2036.785) (-2025.947) [-2027.455] -- 0:01:35
567000 -- (-2020.578) (-2028.772) (-2032.561) [-2019.964] * [-2030.878] (-2029.560) (-2027.640) (-2025.919) -- 0:01:35
568000 -- (-2022.575) (-2027.530) (-2026.906) [-2030.111] * (-2019.959) [-2026.234] (-2027.518) (-2037.431) -- 0:01:35
569000 -- (-2023.111) (-2025.370) [-2027.592] (-2025.059) * (-2022.325) [-2022.208] (-2029.183) (-2031.919) -- 0:01:35
570000 -- [-2030.944] (-2033.916) (-2016.914) (-2022.623) * (-2019.627) (-2029.652) [-2027.036] (-2028.413) -- 0:01:35
Average standard deviation of split frequencies: 0.011482
571000 -- [-2027.610] (-2034.184) (-2032.502) (-2025.613) * [-2017.680] (-2031.415) (-2032.867) (-2032.763) -- 0:01:34
572000 -- (-2033.297) (-2030.781) (-2029.485) [-2020.832] * (-2023.280) (-2032.218) [-2034.944] (-2021.335) -- 0:01:35
573000 -- (-2026.147) (-2034.665) (-2025.130) [-2030.068] * [-2021.878] (-2033.404) (-2022.238) (-2018.052) -- 0:01:34
574000 -- (-2020.295) [-2025.526] (-2026.451) (-2030.714) * (-2026.348) [-2026.425] (-2026.552) (-2027.412) -- 0:01:34
575000 -- [-2025.694] (-2029.762) (-2019.631) (-2027.877) * (-2023.502) (-2031.131) [-2028.650] (-2033.982) -- 0:01:33
Average standard deviation of split frequencies: 0.012031
576000 -- [-2029.312] (-2041.876) (-2022.113) (-2029.000) * (-2020.810) (-2040.407) (-2027.697) [-2016.067] -- 0:01:33
577000 -- (-2024.380) (-2030.141) (-2027.007) [-2021.177] * (-2027.581) [-2026.842] (-2029.098) (-2038.712) -- 0:01:33
578000 -- [-2022.399] (-2032.391) (-2026.770) (-2019.233) * (-2022.482) [-2019.386] (-2025.574) (-2024.307) -- 0:01:33
579000 -- (-2023.948) (-2027.965) [-2021.666] (-2025.917) * (-2023.877) [-2017.672] (-2028.794) (-2018.781) -- 0:01:33
580000 -- [-2021.643] (-2032.116) (-2019.435) (-2027.556) * (-2020.265) [-2024.981] (-2029.254) (-2036.526) -- 0:01:32
Average standard deviation of split frequencies: 0.011731
581000 -- (-2036.711) (-2035.314) (-2034.514) [-2021.883] * (-2034.410) [-2020.541] (-2033.709) (-2021.690) -- 0:01:33
582000 -- (-2035.312) (-2029.370) (-2031.542) [-2028.139] * (-2025.534) [-2022.271] (-2028.285) (-2021.742) -- 0:01:32
583000 -- [-2022.793] (-2029.627) (-2030.150) (-2036.839) * [-2025.108] (-2036.676) (-2020.917) (-2027.277) -- 0:01:32
584000 -- [-2030.643] (-2030.339) (-2036.709) (-2024.413) * (-2034.258) [-2026.703] (-2030.796) (-2024.905) -- 0:01:31
585000 -- (-2039.311) (-2019.948) (-2032.174) [-2021.431] * (-2023.305) (-2022.167) (-2023.987) [-2032.568] -- 0:01:31
Average standard deviation of split frequencies: 0.011745
586000 -- (-2032.015) (-2030.760) [-2033.224] (-2024.533) * (-2030.285) (-2020.860) (-2024.187) [-2039.078] -- 0:01:31
587000 -- (-2029.344) (-2022.524) [-2019.303] (-2030.613) * (-2025.150) (-2036.356) [-2025.042] (-2028.767) -- 0:01:31
588000 -- (-2025.326) (-2025.648) [-2023.899] (-2035.064) * (-2029.350) (-2033.409) [-2023.363] (-2034.110) -- 0:01:31
589000 -- (-2023.227) (-2033.358) (-2026.759) [-2019.006] * (-2031.934) (-2023.326) [-2020.019] (-2021.518) -- 0:01:30
590000 -- (-2029.197) (-2024.611) [-2030.909] (-2028.558) * [-2021.017] (-2027.595) (-2025.441) (-2026.644) -- 0:01:31
Average standard deviation of split frequencies: 0.011572
591000 -- (-2023.393) (-2024.612) [-2026.921] (-2023.580) * [-2024.744] (-2021.626) (-2024.913) (-2026.663) -- 0:01:30
592000 -- [-2016.633] (-2029.429) (-2023.382) (-2031.502) * (-2024.214) [-2023.959] (-2027.971) (-2029.059) -- 0:01:30
593000 -- (-2018.875) [-2031.667] (-2037.168) (-2033.855) * (-2019.689) (-2022.224) (-2025.266) [-2023.322] -- 0:01:29
594000 -- (-2022.605) (-2031.437) (-2029.790) [-2019.676] * (-2026.175) (-2022.222) (-2023.853) [-2021.086] -- 0:01:29
595000 -- (-2024.032) [-2028.605] (-2019.723) (-2024.994) * (-2026.915) (-2026.836) (-2022.106) [-2028.900] -- 0:01:29
Average standard deviation of split frequencies: 0.010994
596000 -- (-2025.659) (-2033.248) (-2029.273) [-2028.450] * (-2019.281) (-2030.142) (-2023.634) [-2024.137] -- 0:01:29
597000 -- (-2026.814) [-2021.205] (-2027.947) (-2027.406) * [-2023.520] (-2028.106) (-2030.506) (-2021.145) -- 0:01:29
598000 -- [-2023.532] (-2018.457) (-2022.783) (-2030.109) * [-2031.303] (-2028.275) (-2037.980) (-2033.767) -- 0:01:28
599000 -- (-2017.386) (-2029.774) (-2027.713) [-2023.167] * (-2033.012) (-2034.168) (-2028.767) [-2021.900] -- 0:01:29
600000 -- [-2028.848] (-2034.322) (-2025.577) (-2028.033) * (-2030.174) (-2017.367) [-2025.970] (-2022.743) -- 0:01:28
Average standard deviation of split frequencies: 0.010752
601000 -- (-2026.965) (-2038.756) [-2032.262] (-2027.846) * (-2032.449) (-2027.854) [-2015.178] (-2016.715) -- 0:01:28
602000 -- (-2030.056) [-2024.951] (-2030.468) (-2023.820) * (-2027.007) (-2021.086) (-2022.318) [-2019.838] -- 0:01:27
603000 -- [-2017.662] (-2029.899) (-2030.720) (-2022.917) * [-2018.582] (-2019.984) (-2033.768) (-2025.463) -- 0:01:27
604000 -- (-2019.572) (-2034.505) (-2026.897) [-2025.035] * (-2021.805) (-2029.822) (-2028.508) [-2028.443] -- 0:01:27
605000 -- (-2024.976) (-2032.622) (-2026.932) [-2018.755] * (-2019.286) (-2023.136) (-2028.023) [-2021.994] -- 0:01:27
Average standard deviation of split frequencies: 0.010502
606000 -- [-2020.500] (-2027.649) (-2021.686) (-2022.174) * (-2040.229) (-2031.335) [-2021.256] (-2019.726) -- 0:01:27
607000 -- (-2030.032) (-2036.234) [-2023.713] (-2017.066) * (-2037.529) [-2026.540] (-2038.280) (-2026.556) -- 0:01:26
608000 -- (-2025.994) (-2032.543) (-2037.758) [-2022.764] * (-2033.880) (-2037.651) [-2026.258] (-2018.007) -- 0:01:26
609000 -- (-2034.429) [-2027.598] (-2021.690) (-2029.126) * [-2023.483] (-2025.929) (-2023.244) (-2038.473) -- 0:01:26
610000 -- (-2031.838) (-2030.971) [-2027.433] (-2020.379) * [-2025.029] (-2026.135) (-2021.006) (-2028.312) -- 0:01:26
Average standard deviation of split frequencies: 0.010421
611000 -- (-2031.478) (-2027.827) [-2021.039] (-2023.540) * (-2031.765) (-2026.752) (-2021.595) [-2020.199] -- 0:01:25
612000 -- (-2030.932) (-2043.996) [-2023.918] (-2024.050) * (-2023.038) (-2022.427) [-2015.623] (-2021.711) -- 0:01:25
613000 -- [-2020.536] (-2025.157) (-2021.702) (-2027.966) * (-2025.883) [-2018.805] (-2025.600) (-2032.314) -- 0:01:25
614000 -- (-2026.563) [-2027.314] (-2021.386) (-2032.297) * (-2033.264) (-2018.873) (-2034.810) [-2022.600] -- 0:01:25
615000 -- (-2022.530) [-2016.666] (-2024.663) (-2035.306) * (-2028.067) [-2017.973] (-2036.292) (-2030.493) -- 0:01:25
Average standard deviation of split frequencies: 0.009757
616000 -- [-2021.505] (-2031.455) (-2027.449) (-2025.814) * (-2031.032) [-2035.126] (-2024.364) (-2018.620) -- 0:01:24
617000 -- (-2033.079) (-2032.232) [-2023.694] (-2025.023) * (-2022.561) (-2036.859) (-2021.803) [-2023.564] -- 0:01:24
618000 -- (-2023.544) (-2037.749) [-2021.821] (-2025.271) * (-2018.760) (-2030.069) [-2019.128] (-2019.994) -- 0:01:24
619000 -- (-2016.483) (-2039.185) [-2030.626] (-2019.737) * (-2031.838) (-2032.146) [-2021.671] (-2023.537) -- 0:01:24
620000 -- (-2018.351) (-2031.116) [-2028.818] (-2015.372) * (-2029.443) (-2026.327) [-2026.434] (-2027.056) -- 0:01:23
Average standard deviation of split frequencies: 0.009532
621000 -- (-2028.139) (-2025.559) [-2020.424] (-2022.337) * (-2035.914) (-2027.763) [-2024.231] (-2023.997) -- 0:01:23
622000 -- (-2021.276) (-2034.482) (-2025.112) [-2027.777] * [-2024.627] (-2027.610) (-2031.673) (-2024.713) -- 0:01:23
623000 -- (-2028.893) (-2027.624) (-2025.471) [-2027.982] * [-2022.443] (-2023.677) (-2035.341) (-2024.183) -- 0:01:23
624000 -- (-2036.442) [-2025.160] (-2030.350) (-2023.658) * [-2028.129] (-2031.846) (-2041.360) (-2026.740) -- 0:01:23
625000 -- (-2030.667) (-2027.844) (-2023.858) [-2019.397] * (-2026.209) (-2020.388) [-2030.290] (-2032.020) -- 0:01:22
Average standard deviation of split frequencies: 0.009488
626000 -- [-2023.745] (-2024.398) (-2016.196) (-2029.942) * [-2028.902] (-2028.711) (-2028.386) (-2027.368) -- 0:01:22
627000 -- (-2016.117) (-2022.347) (-2027.378) [-2034.848] * (-2023.491) (-2034.504) (-2030.048) [-2031.105] -- 0:01:22
628000 -- [-2024.731] (-2023.293) (-2035.402) (-2029.490) * [-2030.902] (-2045.406) (-2026.897) (-2028.064) -- 0:01:22
629000 -- (-2030.556) (-2030.820) [-2036.929] (-2026.968) * (-2023.093) (-2034.587) (-2028.338) [-2035.539] -- 0:01:21
630000 -- (-2023.642) (-2031.190) (-2024.712) [-2022.296] * (-2029.112) (-2031.583) (-2028.691) [-2025.063] -- 0:01:21
Average standard deviation of split frequencies: 0.009530
631000 -- (-2020.693) [-2021.586] (-2027.798) (-2024.369) * (-2044.903) (-2040.172) [-2026.554] (-2025.993) -- 0:01:21
632000 -- [-2020.318] (-2030.842) (-2026.457) (-2023.836) * (-2032.630) (-2020.266) (-2035.319) [-2023.214] -- 0:01:21
633000 -- (-2028.023) (-2026.691) [-2027.327] (-2020.845) * (-2042.975) [-2025.269] (-2028.819) (-2028.601) -- 0:01:21
634000 -- (-2019.484) [-2026.454] (-2037.803) (-2028.177) * (-2025.339) [-2026.591] (-2023.506) (-2026.603) -- 0:01:20
635000 -- (-2021.884) (-2024.059) (-2043.240) [-2028.172] * (-2035.913) [-2022.016] (-2026.093) (-2029.345) -- 0:01:20
Average standard deviation of split frequencies: 0.009080
636000 -- [-2023.615] (-2032.621) (-2030.910) (-2024.569) * (-2030.906) (-2027.691) (-2024.115) [-2023.269] -- 0:01:20
637000 -- [-2027.179] (-2034.170) (-2035.514) (-2033.956) * (-2031.540) (-2029.459) [-2024.758] (-2029.845) -- 0:01:20
638000 -- (-2023.102) (-2031.886) [-2021.850] (-2028.130) * (-2024.628) (-2029.849) (-2029.558) [-2017.106] -- 0:01:20
639000 -- (-2018.693) [-2030.024] (-2028.503) (-2023.215) * (-2028.182) [-2026.664] (-2030.197) (-2032.088) -- 0:01:19
640000 -- [-2021.204] (-2025.295) (-2037.197) (-2026.764) * (-2028.962) (-2020.491) (-2021.049) [-2020.553] -- 0:01:19
Average standard deviation of split frequencies: 0.008609
641000 -- [-2024.417] (-2021.239) (-2023.355) (-2039.762) * [-2026.005] (-2030.317) (-2019.245) (-2014.703) -- 0:01:19
642000 -- (-2024.509) (-2026.853) [-2024.940] (-2020.298) * (-2031.674) (-2023.312) (-2020.026) [-2031.604] -- 0:01:19
643000 -- (-2032.457) [-2019.738] (-2021.856) (-2038.335) * (-2026.470) [-2021.013] (-2019.037) (-2026.181) -- 0:01:18
644000 -- (-2030.309) [-2021.425] (-2023.180) (-2028.961) * (-2032.373) (-2026.342) [-2023.362] (-2029.184) -- 0:01:18
645000 -- (-2032.839) [-2022.193] (-2019.078) (-2037.766) * (-2027.756) (-2025.467) (-2020.490) [-2027.051] -- 0:01:18
Average standard deviation of split frequencies: 0.008793
646000 -- (-2027.239) (-2028.907) (-2033.050) [-2028.437] * (-2016.157) (-2029.474) [-2022.515] (-2042.162) -- 0:01:18
647000 -- [-2023.547] (-2024.959) (-2031.739) (-2024.634) * [-2029.007] (-2026.992) (-2025.601) (-2037.931) -- 0:01:18
648000 -- (-2018.374) (-2028.107) (-2040.954) [-2023.468] * (-2025.199) (-2034.091) [-2022.958] (-2019.572) -- 0:01:17
649000 -- [-2030.608] (-2026.061) (-2030.932) (-2025.669) * (-2030.227) (-2021.651) [-2028.237] (-2032.972) -- 0:01:17
650000 -- (-2020.912) (-2025.184) (-2018.803) [-2034.358] * [-2027.780] (-2036.571) (-2026.297) (-2028.963) -- 0:01:17
Average standard deviation of split frequencies: 0.008911
651000 -- (-2027.249) (-2035.233) (-2031.724) [-2023.436] * (-2019.806) [-2028.567] (-2031.519) (-2024.816) -- 0:01:17
652000 -- (-2031.148) [-2020.891] (-2025.373) (-2025.639) * (-2022.700) (-2028.398) (-2025.706) [-2029.532] -- 0:01:16
653000 -- (-2031.329) (-2023.593) [-2031.293] (-2030.351) * [-2034.311] (-2038.832) (-2021.948) (-2023.057) -- 0:01:17
654000 -- (-2025.309) (-2034.323) [-2025.441] (-2035.489) * [-2014.107] (-2033.187) (-2033.041) (-2023.232) -- 0:01:16
655000 -- (-2019.346) (-2025.464) [-2019.729] (-2036.512) * (-2020.712) (-2019.966) (-2018.943) [-2024.365] -- 0:01:16
Average standard deviation of split frequencies: 0.008983
656000 -- [-2022.424] (-2034.996) (-2024.404) (-2022.225) * (-2023.113) [-2021.722] (-2022.075) (-2041.961) -- 0:01:16
657000 -- (-2019.198) (-2030.863) (-2037.593) [-2023.285] * (-2028.955) (-2026.242) (-2024.565) [-2026.051] -- 0:01:15
658000 -- (-2037.150) (-2017.256) [-2026.311] (-2029.242) * (-2028.349) (-2022.618) [-2027.812] (-2040.906) -- 0:01:15
659000 -- (-2033.525) [-2028.227] (-2026.814) (-2038.277) * (-2038.975) (-2015.530) (-2032.844) [-2039.290] -- 0:01:15
660000 -- (-2022.898) [-2027.245] (-2031.336) (-2025.625) * (-2036.176) [-2025.644] (-2031.635) (-2030.712) -- 0:01:15
Average standard deviation of split frequencies: 0.008848
661000 -- (-2025.535) (-2024.478) (-2042.916) [-2020.168] * [-2027.963] (-2028.839) (-2024.153) (-2031.765) -- 0:01:14
662000 -- [-2026.981] (-2031.286) (-2020.630) (-2033.817) * [-2020.952] (-2023.711) (-2032.493) (-2023.289) -- 0:01:14
663000 -- [-2020.330] (-2029.392) (-2030.917) (-2022.517) * (-2022.914) [-2020.346] (-2031.683) (-2030.681) -- 0:01:14
664000 -- (-2026.539) [-2026.954] (-2030.783) (-2037.664) * (-2019.268) (-2028.155) [-2028.792] (-2022.933) -- 0:01:14
665000 -- (-2029.151) (-2022.979) (-2029.328) [-2023.164] * [-2019.208] (-2028.267) (-2026.683) (-2037.225) -- 0:01:14
Average standard deviation of split frequencies: 0.008388
666000 -- [-2022.889] (-2041.271) (-2026.697) (-2024.152) * (-2035.493) (-2031.500) [-2022.058] (-2031.234) -- 0:01:13
667000 -- (-2025.636) [-2025.228] (-2021.499) (-2027.743) * (-2026.022) (-2020.916) [-2020.943] (-2023.426) -- 0:01:13
668000 -- (-2021.525) [-2023.048] (-2027.110) (-2031.743) * (-2036.363) (-2024.761) [-2039.357] (-2018.664) -- 0:01:13
669000 -- (-2017.968) (-2023.818) (-2029.929) [-2029.884] * (-2025.526) (-2028.738) (-2022.582) [-2017.651] -- 0:01:13
670000 -- (-2019.524) [-2023.651] (-2031.084) (-2027.878) * [-2023.049] (-2028.658) (-2025.209) (-2022.286) -- 0:01:12
Average standard deviation of split frequencies: 0.008013
671000 -- (-2028.826) (-2021.993) (-2032.155) [-2023.921] * [-2026.966] (-2029.045) (-2029.203) (-2016.757) -- 0:01:12
672000 -- (-2022.294) (-2031.303) [-2034.411] (-2030.002) * (-2026.302) [-2027.166] (-2023.889) (-2031.795) -- 0:01:12
673000 -- [-2026.805] (-2027.740) (-2031.756) (-2024.479) * (-2017.743) [-2018.711] (-2028.681) (-2038.089) -- 0:01:12
674000 -- (-2041.830) [-2016.477] (-2037.755) (-2028.574) * [-2026.137] (-2028.818) (-2026.728) (-2019.887) -- 0:01:12
675000 -- (-2026.509) [-2027.703] (-2033.263) (-2025.731) * (-2028.663) (-2031.669) (-2025.088) [-2025.224] -- 0:01:11
Average standard deviation of split frequencies: 0.007775
676000 -- (-2027.997) [-2027.665] (-2033.650) (-2030.071) * (-2032.789) [-2017.197] (-2024.317) (-2033.882) -- 0:01:11
677000 -- [-2019.456] (-2020.163) (-2030.603) (-2034.807) * (-2026.719) [-2017.192] (-2034.693) (-2025.513) -- 0:01:11
678000 -- (-2022.421) (-2021.812) [-2025.793] (-2037.053) * (-2022.680) [-2020.240] (-2030.642) (-2032.649) -- 0:01:11
679000 -- [-2020.359] (-2017.923) (-2026.239) (-2034.137) * [-2022.008] (-2022.027) (-2028.444) (-2029.870) -- 0:01:10
680000 -- (-2033.765) [-2022.089] (-2033.533) (-2022.522) * (-2021.061) (-2017.198) [-2016.370] (-2023.119) -- 0:01:10
Average standard deviation of split frequencies: 0.007791
681000 -- (-2027.724) (-2028.517) (-2030.778) [-2027.614] * (-2023.086) (-2032.422) (-2024.333) [-2025.722] -- 0:01:10
682000 -- [-2023.779] (-2030.105) (-2018.927) (-2028.014) * [-2022.174] (-2018.629) (-2020.028) (-2021.121) -- 0:01:10
683000 -- (-2026.845) (-2021.073) (-2026.140) [-2018.447] * (-2025.646) (-2022.620) (-2024.984) [-2029.436] -- 0:01:10
684000 -- [-2033.674] (-2025.087) (-2019.617) (-2027.173) * (-2035.900) [-2026.438] (-2029.082) (-2039.584) -- 0:01:09
685000 -- (-2029.582) (-2024.322) [-2028.029] (-2023.881) * (-2029.118) (-2021.017) [-2017.914] (-2024.183) -- 0:01:09
Average standard deviation of split frequencies: 0.007868
686000 -- (-2026.601) [-2023.125] (-2015.987) (-2020.042) * (-2025.931) [-2014.304] (-2028.884) (-2028.359) -- 0:01:09
687000 -- (-2018.239) (-2034.296) (-2028.244) [-2014.496] * (-2026.840) (-2015.655) [-2017.252] (-2031.938) -- 0:01:09
688000 -- (-2030.622) (-2027.585) (-2021.127) [-2020.528] * (-2046.719) (-2026.856) [-2028.143] (-2031.442) -- 0:01:08
689000 -- [-2031.181] (-2025.339) (-2035.390) (-2029.582) * [-2028.598] (-2038.491) (-2032.891) (-2040.778) -- 0:01:08
690000 -- (-2028.500) (-2020.100) (-2030.939) [-2029.266] * [-2018.850] (-2024.590) (-2030.095) (-2044.982) -- 0:01:08
Average standard deviation of split frequencies: 0.007269
691000 -- [-2029.608] (-2036.231) (-2030.372) (-2026.745) * (-2029.180) (-2039.077) [-2022.858] (-2029.435) -- 0:01:08
692000 -- [-2030.445] (-2039.103) (-2031.238) (-2041.718) * [-2023.116] (-2029.168) (-2025.318) (-2029.072) -- 0:01:08
693000 -- (-2023.270) (-2030.918) [-2020.079] (-2029.153) * [-2028.415] (-2035.092) (-2025.657) (-2026.973) -- 0:01:07
694000 -- (-2016.559) [-2021.507] (-2029.890) (-2034.279) * (-2018.297) (-2029.132) [-2022.634] (-2029.019) -- 0:01:07
695000 -- (-2020.961) (-2024.851) [-2026.306] (-2020.992) * (-2023.525) (-2033.509) (-2027.342) [-2031.532] -- 0:01:07
Average standard deviation of split frequencies: 0.007349
696000 -- (-2031.758) [-2021.981] (-2036.613) (-2020.010) * (-2025.766) [-2027.193] (-2037.275) (-2029.373) -- 0:01:07
697000 -- (-2032.697) [-2018.208] (-2042.275) (-2029.653) * (-2024.761) (-2023.914) (-2032.183) [-2029.599] -- 0:01:06
698000 -- (-2024.079) (-2026.242) (-2026.212) [-2025.219] * (-2014.782) (-2027.091) [-2041.175] (-2035.543) -- 0:01:06
699000 -- (-2030.533) [-2029.009] (-2028.965) (-2014.020) * (-2036.157) (-2025.804) (-2030.845) [-2022.117] -- 0:01:06
700000 -- (-2024.855) (-2020.420) [-2026.334] (-2040.567) * (-2028.952) [-2026.755] (-2029.599) (-2021.887) -- 0:01:06
Average standard deviation of split frequencies: 0.007603
701000 -- (-2030.047) (-2032.665) [-2014.864] (-2026.374) * (-2029.582) [-2018.146] (-2021.206) (-2024.125) -- 0:01:06
702000 -- (-2023.977) [-2029.942] (-2020.646) (-2028.397) * (-2031.374) (-2026.131) (-2029.933) [-2017.718] -- 0:01:05
703000 -- (-2021.496) (-2018.417) [-2028.581] (-2025.418) * (-2028.199) (-2021.480) [-2018.213] (-2035.515) -- 0:01:05
704000 -- (-2025.556) (-2030.709) (-2028.177) [-2028.249] * (-2027.289) (-2021.397) (-2040.517) [-2024.669] -- 0:01:05
705000 -- (-2028.289) [-2030.663] (-2026.929) (-2022.199) * (-2032.899) (-2029.784) (-2023.653) [-2021.857] -- 0:01:05
Average standard deviation of split frequencies: 0.007712
706000 -- (-2033.823) [-2030.672] (-2028.357) (-2037.706) * (-2037.698) (-2027.300) [-2026.212] (-2030.087) -- 0:01:04
707000 -- [-2026.172] (-2029.764) (-2026.892) (-2028.432) * [-2019.374] (-2030.962) (-2035.680) (-2026.281) -- 0:01:04
708000 -- (-2026.224) [-2026.005] (-2030.479) (-2025.715) * (-2021.683) [-2028.053] (-2019.699) (-2036.632) -- 0:01:04
709000 -- (-2022.631) (-2037.069) (-2038.119) [-2022.811] * (-2024.388) [-2020.954] (-2028.927) (-2028.324) -- 0:01:04
710000 -- [-2020.907] (-2020.193) (-2030.272) (-2030.967) * (-2026.782) (-2027.815) (-2032.869) [-2023.934] -- 0:01:04
Average standard deviation of split frequencies: 0.007462
711000 -- [-2014.651] (-2026.190) (-2033.493) (-2028.073) * (-2030.491) (-2030.771) [-2026.760] (-2026.220) -- 0:01:03
712000 -- [-2021.146] (-2024.489) (-2019.283) (-2015.284) * (-2029.447) (-2024.589) [-2028.593] (-2026.682) -- 0:01:03
713000 -- (-2027.095) (-2017.596) (-2032.625) [-2026.732] * [-2008.543] (-2025.263) (-2027.793) (-2036.359) -- 0:01:03
714000 -- (-2024.998) [-2022.787] (-2021.645) (-2021.133) * (-2028.072) (-2017.660) [-2019.802] (-2034.798) -- 0:01:03
715000 -- (-2028.877) (-2036.306) [-2020.280] (-2021.569) * (-2020.421) [-2021.149] (-2033.745) (-2047.914) -- 0:01:02
Average standard deviation of split frequencies: 0.007407
716000 -- (-2029.591) (-2020.528) (-2032.353) [-2013.435] * [-2025.763] (-2026.107) (-2029.479) (-2032.643) -- 0:01:03
717000 -- (-2024.669) [-2024.736] (-2026.822) (-2028.205) * (-2035.471) [-2021.423] (-2029.585) (-2025.633) -- 0:01:02
718000 -- [-2021.442] (-2026.297) (-2035.065) (-2031.283) * (-2030.507) [-2026.091] (-2027.022) (-2030.977) -- 0:01:02
719000 -- (-2023.077) (-2037.297) (-2030.139) [-2028.091] * (-2029.324) (-2019.181) (-2023.948) [-2023.918] -- 0:01:02
720000 -- [-2032.225] (-2027.035) (-2022.503) (-2024.161) * (-2034.630) (-2035.569) [-2033.615] (-2017.548) -- 0:01:02
Average standard deviation of split frequencies: 0.007621
721000 -- (-2032.633) (-2028.824) [-2023.450] (-2032.584) * [-2024.928] (-2022.947) (-2019.046) (-2030.667) -- 0:01:01
722000 -- (-2031.324) (-2030.651) [-2026.680] (-2024.759) * [-2028.621] (-2030.811) (-2027.651) (-2026.717) -- 0:01:01
723000 -- (-2015.245) (-2021.582) (-2024.307) [-2017.930] * [-2029.395] (-2025.542) (-2030.059) (-2024.797) -- 0:01:01
724000 -- (-2033.552) [-2029.106] (-2024.554) (-2041.808) * [-2017.924] (-2019.372) (-2042.677) (-2026.346) -- 0:01:01
725000 -- (-2036.332) (-2032.096) [-2017.992] (-2034.200) * [-2037.980] (-2024.732) (-2024.731) (-2030.673) -- 0:01:01
Average standard deviation of split frequencies: 0.007759
726000 -- (-2029.026) (-2021.214) [-2025.450] (-2039.388) * [-2023.668] (-2033.663) (-2037.083) (-2030.201) -- 0:01:00
727000 -- (-2034.006) [-2032.304] (-2029.406) (-2031.857) * (-2021.251) [-2028.456] (-2034.587) (-2026.670) -- 0:01:00
728000 -- (-2032.719) [-2021.976] (-2033.563) (-2026.984) * (-2030.447) [-2023.691] (-2032.122) (-2025.438) -- 0:01:00
729000 -- (-2034.069) [-2029.142] (-2030.981) (-2036.744) * [-2049.947] (-2019.805) (-2024.853) (-2034.799) -- 0:01:00
730000 -- (-2031.267) [-2021.889] (-2033.772) (-2024.065) * (-2029.525) (-2025.716) [-2031.583] (-2020.961) -- 0:00:59
Average standard deviation of split frequencies: 0.007452
731000 -- [-2031.618] (-2022.200) (-2035.154) (-2034.547) * (-2028.139) [-2031.612] (-2026.441) (-2031.402) -- 0:00:59
732000 -- (-2030.667) [-2021.382] (-2031.608) (-2033.631) * (-2026.479) (-2038.036) (-2022.878) [-2025.921] -- 0:00:59
733000 -- [-2031.518] (-2024.249) (-2030.656) (-2031.818) * (-2031.441) (-2034.122) [-2022.663] (-2031.520) -- 0:00:59
734000 -- (-2032.297) [-2022.834] (-2028.109) (-2021.119) * (-2023.916) [-2030.882] (-2032.725) (-2028.746) -- 0:00:59
735000 -- (-2024.792) [-2025.767] (-2019.913) (-2019.754) * (-2019.076) (-2027.684) (-2029.864) [-2018.901] -- 0:00:58
Average standard deviation of split frequencies: 0.007238
736000 -- [-2027.055] (-2029.551) (-2019.003) (-2025.257) * (-2023.271) (-2025.024) (-2036.204) [-2023.233] -- 0:00:58
737000 -- (-2039.113) (-2035.179) (-2023.147) [-2025.008] * (-2016.838) (-2020.589) [-2016.481] (-2037.293) -- 0:00:58
738000 -- (-2038.401) (-2029.429) (-2025.697) [-2030.557] * [-2023.228] (-2026.469) (-2019.793) (-2031.193) -- 0:00:58
739000 -- (-2030.818) [-2023.771] (-2032.059) (-2025.337) * (-2026.136) (-2034.385) [-2021.717] (-2018.536) -- 0:00:57
740000 -- (-2031.316) (-2026.733) (-2024.486) [-2024.084] * (-2017.382) (-2027.814) (-2033.668) [-2022.694] -- 0:00:57
Average standard deviation of split frequencies: 0.007574
741000 -- (-2025.684) (-2029.409) [-2020.558] (-2032.583) * (-2033.111) (-2019.968) [-2023.256] (-2026.475) -- 0:00:57
742000 -- (-2030.273) (-2022.799) [-2017.568] (-2023.039) * (-2029.794) (-2030.797) (-2031.893) [-2027.846] -- 0:00:57
743000 -- [-2022.435] (-2026.926) (-2023.373) (-2032.767) * (-2021.665) (-2032.480) (-2035.193) [-2023.309] -- 0:00:57
744000 -- (-2026.675) (-2026.931) (-2035.824) [-2027.909] * (-2026.584) (-2023.830) (-2029.894) [-2022.638] -- 0:00:56
745000 -- (-2039.286) (-2026.670) [-2034.890] (-2034.307) * (-2025.798) (-2033.119) (-2026.001) [-2020.209] -- 0:00:56
Average standard deviation of split frequencies: 0.007109
746000 -- (-2019.309) (-2035.533) (-2039.840) [-2030.698] * (-2016.667) (-2030.600) (-2032.703) [-2018.077] -- 0:00:56
747000 -- [-2019.965] (-2033.624) (-2024.815) (-2023.796) * (-2021.425) (-2020.148) (-2042.860) [-2020.093] -- 0:00:56
748000 -- (-2027.313) [-2018.745] (-2026.269) (-2035.951) * (-2018.462) (-2021.395) [-2029.142] (-2016.913) -- 0:00:55
749000 -- [-2023.146] (-2023.473) (-2027.944) (-2026.574) * (-2024.530) (-2041.233) [-2026.960] (-2015.844) -- 0:00:55
750000 -- (-2024.332) [-2018.185] (-2022.909) (-2021.259) * (-2029.548) (-2033.118) (-2023.067) [-2018.290] -- 0:00:55
Average standard deviation of split frequencies: 0.006971
751000 -- [-2035.048] (-2029.083) (-2019.579) (-2020.467) * (-2020.843) (-2036.986) (-2037.195) [-2026.238] -- 0:00:55
752000 -- [-2016.586] (-2025.679) (-2029.284) (-2031.682) * (-2028.533) (-2023.779) [-2029.318] (-2030.706) -- 0:00:55
753000 -- (-2035.322) [-2020.974] (-2023.145) (-2024.956) * [-2019.167] (-2026.756) (-2040.623) (-2027.857) -- 0:00:54
754000 -- (-2028.862) (-2022.051) [-2020.588] (-2028.396) * (-2033.407) [-2032.659] (-2026.353) (-2036.298) -- 0:00:54
755000 -- (-2024.710) [-2017.353] (-2023.817) (-2031.650) * (-2033.630) (-2027.074) [-2025.901] (-2039.220) -- 0:00:54
Average standard deviation of split frequencies: 0.007077
756000 -- (-2030.200) [-2027.858] (-2022.402) (-2036.169) * (-2028.282) (-2018.745) [-2032.929] (-2030.669) -- 0:00:54
757000 -- (-2024.497) (-2029.396) [-2033.226] (-2024.510) * (-2026.521) [-2017.724] (-2033.788) (-2026.552) -- 0:00:53
758000 -- (-2027.547) (-2021.502) (-2028.669) [-2024.626] * (-2018.222) [-2020.751] (-2021.911) (-2033.151) -- 0:00:53
759000 -- (-2032.019) [-2028.506] (-2028.975) (-2023.890) * [-2024.530] (-2023.813) (-2028.620) (-2034.781) -- 0:00:53
760000 -- (-2031.148) [-2023.820] (-2021.905) (-2032.350) * [-2025.484] (-2024.282) (-2039.738) (-2018.076) -- 0:00:53
Average standard deviation of split frequencies: 0.007096
761000 -- (-2020.345) (-2021.709) (-2030.796) [-2029.553] * (-2022.229) (-2016.559) [-2027.309] (-2015.884) -- 0:00:53
762000 -- [-2022.929] (-2027.154) (-2032.087) (-2031.185) * (-2017.705) [-2025.242] (-2026.570) (-2032.338) -- 0:00:52
763000 -- (-2033.533) (-2017.271) (-2029.518) [-2027.364] * (-2022.505) (-2030.020) [-2022.533] (-2025.838) -- 0:00:52
764000 -- (-2022.014) (-2026.341) (-2023.509) [-2022.565] * [-2022.736] (-2031.262) (-2031.686) (-2027.839) -- 0:00:52
765000 -- (-2028.262) [-2029.089] (-2026.063) (-2025.533) * (-2028.089) [-2025.618] (-2026.119) (-2027.036) -- 0:00:52
Average standard deviation of split frequencies: 0.007877
766000 -- (-2038.746) (-2023.434) [-2019.069] (-2029.974) * (-2026.498) (-2033.713) (-2026.820) [-2018.670] -- 0:00:51
767000 -- (-2024.381) (-2033.652) (-2027.723) [-2025.863] * (-2030.529) (-2026.008) (-2015.966) [-2021.563] -- 0:00:51
768000 -- (-2026.784) [-2024.318] (-2029.639) (-2028.892) * (-2028.872) (-2029.352) (-2025.233) [-2023.867] -- 0:00:51
769000 -- [-2017.123] (-2027.417) (-2036.614) (-2027.691) * (-2029.846) (-2027.873) (-2029.368) [-2021.714] -- 0:00:51
770000 -- (-2012.561) (-2015.543) [-2026.313] (-2030.338) * (-2022.598) (-2029.482) [-2025.583] (-2021.168) -- 0:00:51
Average standard deviation of split frequencies: 0.008074
771000 -- (-2027.108) (-2020.246) (-2025.743) [-2027.824] * (-2020.602) (-2037.607) (-2028.755) [-2024.917] -- 0:00:50
772000 -- (-2029.562) (-2021.042) (-2032.362) [-2023.565] * (-2022.444) (-2026.384) [-2028.020] (-2028.989) -- 0:00:50
773000 -- [-2024.696] (-2027.735) (-2028.435) (-2033.521) * (-2031.461) (-2023.755) (-2021.010) [-2026.360] -- 0:00:50
774000 -- (-2031.343) (-2025.218) [-2028.209] (-2031.564) * (-2026.818) [-2021.434] (-2035.982) (-2032.680) -- 0:00:50
775000 -- (-2031.172) (-2030.552) (-2032.254) [-2024.414] * (-2022.060) (-2035.737) [-2024.009] (-2028.731) -- 0:00:49
Average standard deviation of split frequencies: 0.008079
776000 -- (-2032.835) [-2025.540] (-2025.934) (-2025.040) * [-2025.407] (-2021.417) (-2026.080) (-2021.913) -- 0:00:49
777000 -- (-2025.054) [-2026.966] (-2029.766) (-2023.098) * (-2022.008) (-2024.628) (-2036.120) [-2021.843] -- 0:00:49
778000 -- (-2022.602) (-2035.248) [-2024.208] (-2042.151) * [-2024.975] (-2026.820) (-2029.888) (-2017.995) -- 0:00:49
779000 -- (-2022.959) (-2026.898) [-2027.383] (-2022.778) * (-2023.031) (-2035.412) [-2020.554] (-2031.940) -- 0:00:49
780000 -- (-2035.226) (-2031.612) (-2029.363) [-2022.124] * (-2022.710) (-2023.423) (-2032.353) [-2018.505] -- 0:00:48
Average standard deviation of split frequencies: 0.007608
781000 -- (-2025.808) [-2023.719] (-2035.082) (-2019.635) * (-2033.003) (-2022.346) (-2029.987) [-2029.441] -- 0:00:48
782000 -- [-2022.571] (-2023.931) (-2025.240) (-2034.584) * (-2026.080) (-2024.401) [-2028.443] (-2026.973) -- 0:00:48
783000 -- [-2025.067] (-2023.338) (-2027.448) (-2014.797) * (-2018.972) (-2025.962) (-2031.588) [-2038.728] -- 0:00:48
784000 -- (-2025.591) (-2023.583) (-2028.028) [-2028.228] * (-2030.141) (-2017.498) (-2039.736) [-2022.496] -- 0:00:47
785000 -- (-2033.823) [-2031.935] (-2028.606) (-2029.504) * (-2021.551) (-2025.222) [-2027.353] (-2023.133) -- 0:00:47
Average standard deviation of split frequencies: 0.007737
786000 -- [-2019.708] (-2022.683) (-2031.699) (-2028.267) * (-2027.420) (-2028.821) (-2031.340) [-2030.587] -- 0:00:47
787000 -- (-2020.902) [-2022.534] (-2031.789) (-2036.898) * (-2037.910) [-2026.697] (-2030.326) (-2023.179) -- 0:00:47
788000 -- (-2022.959) (-2023.187) (-2031.258) [-2022.136] * (-2025.592) (-2032.789) [-2026.619] (-2030.644) -- 0:00:47
789000 -- (-2023.007) (-2039.018) (-2026.807) [-2025.452] * (-2026.216) (-2041.862) (-2031.804) [-2024.047] -- 0:00:46
790000 -- (-2020.762) (-2030.497) [-2023.019] (-2025.015) * (-2026.883) (-2027.457) (-2031.570) [-2025.324] -- 0:00:46
Average standard deviation of split frequencies: 0.007721
791000 -- (-2034.814) [-2018.929] (-2033.930) (-2029.740) * (-2023.556) [-2028.815] (-2029.648) (-2021.642) -- 0:00:46
792000 -- (-2028.780) (-2020.060) [-2029.026] (-2027.949) * (-2029.625) [-2023.914] (-2024.618) (-2031.647) -- 0:00:46
793000 -- (-2022.040) (-2030.357) [-2030.226] (-2023.795) * (-2033.044) [-2034.605] (-2024.721) (-2026.470) -- 0:00:45
794000 -- (-2030.319) (-2023.036) (-2040.383) [-2024.855] * (-2023.990) (-2032.467) (-2027.813) [-2034.910] -- 0:00:45
795000 -- (-2029.191) (-2023.179) [-2020.499] (-2028.080) * [-2029.062] (-2022.829) (-2029.730) (-2032.581) -- 0:00:45
Average standard deviation of split frequencies: 0.007492
796000 -- [-2028.348] (-2020.800) (-2023.927) (-2018.537) * (-2031.892) (-2019.943) [-2017.057] (-2025.697) -- 0:00:45
797000 -- (-2033.684) (-2031.445) [-2021.196] (-2023.718) * (-2029.847) (-2026.909) [-2029.104] (-2034.338) -- 0:00:45
798000 -- [-2016.762] (-2018.006) (-2026.257) (-2019.806) * [-2017.173] (-2026.205) (-2028.438) (-2027.394) -- 0:00:44
799000 -- (-2028.214) (-2029.327) (-2029.577) [-2017.686] * (-2021.826) (-2024.417) (-2032.155) [-2017.021] -- 0:00:44
800000 -- [-2024.080] (-2028.955) (-2027.640) (-2027.858) * [-2020.095] (-2027.509) (-2028.253) (-2020.133) -- 0:00:44
Average standard deviation of split frequencies: 0.007713
801000 -- (-2032.093) (-2030.090) [-2019.079] (-2026.830) * (-2024.523) (-2030.066) [-2022.239] (-2026.190) -- 0:00:44
802000 -- (-2024.759) [-2025.848] (-2024.229) (-2026.432) * (-2020.403) (-2034.049) (-2026.781) [-2026.669] -- 0:00:43
803000 -- (-2025.634) [-2024.050] (-2033.820) (-2029.820) * (-2022.255) [-2026.938] (-2032.054) (-2027.179) -- 0:00:43
804000 -- (-2027.877) (-2030.471) [-2022.442] (-2030.200) * (-2032.685) (-2026.485) [-2020.988] (-2032.517) -- 0:00:43
805000 -- [-2020.120] (-2021.094) (-2033.985) (-2024.365) * (-2030.720) [-2029.103] (-2030.305) (-2026.604) -- 0:00:43
Average standard deviation of split frequencies: 0.007633
806000 -- (-2031.047) (-2023.342) (-2024.059) [-2018.710] * (-2021.373) (-2033.678) [-2020.810] (-2028.931) -- 0:00:43
807000 -- (-2017.118) [-2023.717] (-2041.562) (-2025.405) * (-2021.038) (-2033.861) [-2040.032] (-2027.165) -- 0:00:42
808000 -- [-2017.456] (-2019.949) (-2030.412) (-2026.803) * (-2034.034) [-2024.564] (-2032.131) (-2018.756) -- 0:00:42
809000 -- [-2024.935] (-2032.203) (-2027.747) (-2026.086) * (-2026.153) (-2031.350) (-2029.297) [-2023.024] -- 0:00:42
810000 -- [-2021.192] (-2025.172) (-2031.596) (-2025.139) * [-2026.170] (-2021.158) (-2026.433) (-2028.325) -- 0:00:42
Average standard deviation of split frequencies: 0.007356
811000 -- (-2033.983) (-2025.580) (-2020.789) [-2023.195] * (-2029.652) [-2024.130] (-2034.704) (-2022.164) -- 0:00:41
812000 -- (-2030.750) [-2028.895] (-2022.356) (-2034.157) * (-2028.109) (-2022.683) (-2035.884) [-2026.061] -- 0:00:41
813000 -- (-2033.816) [-2026.844] (-2029.931) (-2024.062) * [-2025.299] (-2021.040) (-2024.946) (-2026.725) -- 0:00:41
814000 -- (-2016.461) [-2018.370] (-2032.195) (-2021.599) * [-2017.776] (-2027.837) (-2027.360) (-2025.928) -- 0:00:41
815000 -- (-2017.461) [-2020.626] (-2033.370) (-2031.624) * (-2030.423) [-2015.106] (-2023.975) (-2029.321) -- 0:00:41
Average standard deviation of split frequencies: 0.007568
816000 -- (-2027.286) (-2029.566) [-2022.553] (-2025.913) * (-2031.082) [-2025.114] (-2025.103) (-2030.897) -- 0:00:40
817000 -- (-2028.392) (-2028.458) (-2027.615) [-2018.941] * (-2034.112) (-2026.121) [-2026.601] (-2030.325) -- 0:00:40
818000 -- (-2026.975) [-2026.525] (-2026.808) (-2028.120) * [-2028.339] (-2033.393) (-2020.018) (-2034.344) -- 0:00:40
819000 -- (-2035.790) [-2028.535] (-2025.705) (-2022.345) * (-2037.682) (-2026.969) (-2033.475) [-2019.477] -- 0:00:40
820000 -- [-2022.087] (-2029.944) (-2035.155) (-2035.873) * (-2027.837) (-2021.917) (-2024.199) [-2016.089] -- 0:00:39
Average standard deviation of split frequencies: 0.007956
821000 -- (-2024.299) (-2026.472) (-2024.808) [-2023.167] * (-2042.443) (-2038.124) (-2035.826) [-2029.560] -- 0:00:39
822000 -- [-2024.280] (-2022.668) (-2026.941) (-2035.669) * (-2035.192) (-2037.336) (-2028.565) [-2026.498] -- 0:00:39
823000 -- (-2031.226) [-2034.332] (-2024.779) (-2025.739) * [-2022.219] (-2027.520) (-2035.920) (-2036.991) -- 0:00:39
824000 -- [-2019.998] (-2036.785) (-2016.622) (-2022.609) * [-2028.644] (-2034.167) (-2027.091) (-2022.974) -- 0:00:39
825000 -- [-2014.703] (-2041.915) (-2021.882) (-2044.873) * (-2033.250) (-2030.117) (-2042.713) [-2018.862] -- 0:00:38
Average standard deviation of split frequencies: 0.007904
826000 -- (-2033.681) [-2021.113] (-2025.207) (-2030.022) * (-2034.551) (-2024.512) (-2031.854) [-2024.848] -- 0:00:38
827000 -- (-2025.437) (-2023.844) [-2019.925] (-2026.794) * (-2025.172) (-2029.642) (-2029.499) [-2023.956] -- 0:00:38
828000 -- (-2028.809) (-2039.245) (-2034.179) [-2029.179] * (-2028.030) (-2029.570) (-2029.699) [-2022.860] -- 0:00:38
829000 -- (-2024.833) (-2031.441) (-2026.318) [-2031.966] * (-2020.002) (-2018.260) [-2019.055] (-2034.521) -- 0:00:37
830000 -- (-2025.177) [-2023.465] (-2031.867) (-2025.641) * (-2030.800) (-2019.347) (-2027.567) [-2017.599] -- 0:00:37
Average standard deviation of split frequencies: 0.008598
831000 -- (-2024.507) [-2034.276] (-2028.159) (-2022.306) * [-2022.660] (-2037.561) (-2039.763) (-2028.441) -- 0:00:37
832000 -- [-2023.546] (-2029.698) (-2028.669) (-2029.446) * (-2039.309) (-2029.529) [-2034.041] (-2014.428) -- 0:00:37
833000 -- (-2030.682) [-2023.606] (-2022.755) (-2023.648) * (-2027.058) (-2031.712) (-2027.394) [-2017.637] -- 0:00:37
834000 -- (-2031.883) (-2023.608) (-2035.392) [-2020.941] * [-2027.043] (-2034.552) (-2029.852) (-2032.572) -- 0:00:36
835000 -- (-2024.948) [-2025.024] (-2030.377) (-2027.016) * (-2028.937) (-2023.769) (-2024.947) [-2021.962] -- 0:00:36
Average standard deviation of split frequencies: 0.008374
836000 -- (-2024.146) (-2026.759) (-2028.775) [-2028.679] * (-2035.217) [-2022.581] (-2027.641) (-2026.955) -- 0:00:36
837000 -- (-2028.000) [-2019.904] (-2022.818) (-2042.094) * (-2021.951) (-2040.245) [-2026.766] (-2032.479) -- 0:00:36
838000 -- [-2029.262] (-2022.055) (-2025.107) (-2034.675) * (-2024.795) (-2031.475) [-2023.283] (-2019.619) -- 0:00:35
839000 -- (-2030.079) (-2029.167) [-2023.025] (-2027.750) * (-2027.597) (-2027.271) [-2026.693] (-2037.656) -- 0:00:35
840000 -- (-2024.669) (-2031.916) (-2030.549) [-2022.345] * (-2031.632) [-2017.255] (-2031.117) (-2029.766) -- 0:00:35
Average standard deviation of split frequencies: 0.008299
841000 -- (-2028.608) (-2022.540) [-2017.672] (-2023.873) * (-2027.953) [-2029.780] (-2030.856) (-2036.996) -- 0:00:35
842000 -- [-2026.889] (-2039.586) (-2032.108) (-2024.540) * [-2023.064] (-2024.606) (-2036.024) (-2043.248) -- 0:00:35
843000 -- (-2022.713) [-2021.509] (-2025.129) (-2036.934) * (-2021.015) (-2035.132) (-2026.906) [-2027.357] -- 0:00:34
844000 -- [-2023.835] (-2022.251) (-2025.762) (-2040.007) * (-2014.329) (-2027.934) [-2023.820] (-2027.468) -- 0:00:34
845000 -- [-2029.868] (-2031.979) (-2023.675) (-2030.608) * (-2035.357) [-2032.084] (-2024.251) (-2038.954) -- 0:00:34
Average standard deviation of split frequencies: 0.008275
846000 -- (-2026.481) (-2037.556) (-2021.011) [-2015.550] * [-2032.285] (-2026.036) (-2031.973) (-2037.386) -- 0:00:34
847000 -- (-2027.513) (-2031.737) [-2031.145] (-2033.694) * [-2017.827] (-2041.909) (-2028.591) (-2021.152) -- 0:00:33
848000 -- (-2029.250) [-2018.853] (-2028.210) (-2026.855) * (-2020.805) (-2025.423) (-2030.313) [-2024.513] -- 0:00:33
849000 -- (-2027.516) (-2026.675) [-2035.480] (-2031.927) * (-2022.536) (-2027.332) (-2025.904) [-2018.612] -- 0:00:33
850000 -- (-2035.734) (-2029.656) [-2029.010] (-2022.174) * (-2024.230) [-2024.895] (-2023.743) (-2029.610) -- 0:00:33
Average standard deviation of split frequencies: 0.008202
851000 -- [-2032.050] (-2029.342) (-2031.133) (-2019.968) * [-2023.794] (-2026.942) (-2030.643) (-2026.930) -- 0:00:33
852000 -- (-2037.879) [-2017.232] (-2037.434) (-2029.799) * (-2019.688) (-2021.768) (-2030.658) [-2023.486] -- 0:00:32
853000 -- (-2031.178) (-2023.291) (-2028.288) [-2027.362] * (-2023.149) (-2023.956) (-2016.842) [-2016.683] -- 0:00:32
854000 -- (-2036.044) [-2022.205] (-2030.156) (-2031.154) * (-2043.527) [-2025.597] (-2026.877) (-2023.845) -- 0:00:32
855000 -- (-2024.886) [-2026.794] (-2030.893) (-2029.790) * (-2023.240) (-2041.686) [-2019.874] (-2024.076) -- 0:00:32
Average standard deviation of split frequencies: 0.008674
856000 -- (-2031.833) [-2019.449] (-2034.402) (-2029.765) * (-2021.966) (-2021.858) [-2023.391] (-2020.592) -- 0:00:31
857000 -- (-2031.420) (-2016.082) [-2025.197] (-2035.808) * (-2036.720) (-2022.322) (-2029.137) [-2017.656] -- 0:00:31
858000 -- (-2031.003) [-2026.349] (-2030.756) (-2028.016) * (-2034.975) [-2030.820] (-2029.526) (-2020.570) -- 0:00:31
859000 -- (-2024.191) [-2028.474] (-2030.541) (-2031.216) * (-2022.709) (-2022.922) [-2021.205] (-2033.443) -- 0:00:31
860000 -- (-2029.493) (-2039.169) (-2031.188) [-2022.497] * (-2027.398) (-2032.131) [-2026.718] (-2029.260) -- 0:00:31
Average standard deviation of split frequencies: 0.008325
861000 -- [-2025.402] (-2025.584) (-2031.094) (-2026.884) * [-2022.562] (-2028.538) (-2022.685) (-2026.340) -- 0:00:30
862000 -- (-2039.030) (-2033.753) (-2028.317) [-2030.465] * (-2023.025) [-2029.347] (-2019.604) (-2028.296) -- 0:00:30
863000 -- (-2026.308) (-2025.882) [-2018.736] (-2032.076) * (-2038.804) (-2024.406) (-2017.572) [-2028.320] -- 0:00:30
864000 -- (-2033.031) (-2027.004) (-2025.967) [-2020.923] * (-2030.614) (-2037.626) [-2021.008] (-2039.292) -- 0:00:30
865000 -- (-2033.704) (-2019.178) [-2028.831] (-2022.192) * (-2029.132) (-2026.521) (-2026.611) [-2029.309] -- 0:00:29
Average standard deviation of split frequencies: 0.008410
866000 -- (-2028.238) (-2035.470) (-2034.463) [-2022.173] * (-2039.216) (-2027.338) [-2022.839] (-2035.118) -- 0:00:29
867000 -- (-2033.715) (-2021.499) [-2020.608] (-2020.137) * [-2015.701] (-2028.524) (-2017.950) (-2032.442) -- 0:00:29
868000 -- [-2026.773] (-2032.640) (-2030.256) (-2022.639) * (-2018.286) [-2026.862] (-2025.862) (-2036.977) -- 0:00:29
869000 -- (-2034.629) [-2025.272] (-2027.925) (-2024.100) * (-2021.063) [-2026.004] (-2026.161) (-2023.355) -- 0:00:29
870000 -- (-2033.112) [-2027.475] (-2034.407) (-2035.789) * (-2021.832) (-2022.599) (-2027.760) [-2021.461] -- 0:00:28
Average standard deviation of split frequencies: 0.008203
871000 -- (-2034.961) (-2029.558) [-2025.929] (-2019.563) * (-2035.238) [-2025.605] (-2027.583) (-2033.787) -- 0:00:28
872000 -- (-2031.733) (-2029.903) (-2035.458) [-2030.631] * (-2029.906) (-2042.803) (-2036.407) [-2031.592] -- 0:00:28
873000 -- (-2026.909) (-2030.519) [-2019.702] (-2026.575) * (-2034.092) (-2024.566) (-2018.831) [-2022.270] -- 0:00:28
874000 -- [-2016.629] (-2038.912) (-2024.658) (-2043.807) * [-2030.398] (-2032.529) (-2018.080) (-2021.994) -- 0:00:27
875000 -- (-2022.059) (-2034.900) (-2029.566) [-2025.756] * (-2034.532) (-2020.712) [-2023.567] (-2036.244) -- 0:00:27
Average standard deviation of split frequencies: 0.007695
876000 -- [-2030.347] (-2027.129) (-2020.324) (-2030.569) * (-2026.195) (-2031.101) [-2026.919] (-2017.850) -- 0:00:27
877000 -- [-2028.355] (-2036.460) (-2034.439) (-2031.100) * (-2024.054) (-2033.454) (-2025.117) [-2030.186] -- 0:00:27
878000 -- (-2023.935) (-2035.228) [-2023.422] (-2028.282) * (-2017.076) [-2017.314] (-2033.648) (-2023.219) -- 0:00:27
879000 -- (-2028.409) (-2037.897) (-2022.354) [-2022.302] * [-2019.440] (-2025.464) (-2024.451) (-2020.782) -- 0:00:26
880000 -- (-2023.804) (-2030.962) (-2028.595) [-2027.876] * [-2026.631] (-2028.309) (-2026.825) (-2017.422) -- 0:00:26
Average standard deviation of split frequencies: 0.007521
881000 -- (-2036.399) (-2029.697) (-2029.799) [-2026.524] * (-2021.053) (-2029.125) [-2020.907] (-2027.520) -- 0:00:26
882000 -- (-2021.077) (-2034.402) (-2024.846) [-2024.918] * [-2030.894] (-2019.156) (-2025.944) (-2020.281) -- 0:00:26
883000 -- (-2023.503) [-2021.075] (-2034.169) (-2027.668) * (-2026.568) [-2023.827] (-2029.866) (-2028.746) -- 0:00:25
884000 -- (-2035.078) [-2022.464] (-2028.046) (-2019.647) * (-2034.268) (-2035.312) [-2029.649] (-2022.637) -- 0:00:25
885000 -- (-2018.279) [-2030.988] (-2028.588) (-2032.100) * (-2026.887) [-2022.726] (-2029.062) (-2023.177) -- 0:00:25
Average standard deviation of split frequencies: 0.007901
886000 -- (-2028.229) [-2021.845] (-2031.282) (-2033.721) * [-2025.906] (-2029.345) (-2026.763) (-2036.214) -- 0:00:25
887000 -- (-2025.724) (-2031.140) (-2030.330) [-2024.893] * [-2025.464] (-2028.197) (-2024.271) (-2042.258) -- 0:00:25
888000 -- (-2020.801) (-2032.761) [-2033.111] (-2025.711) * (-2028.073) (-2019.867) [-2030.482] (-2035.165) -- 0:00:24
889000 -- (-2024.949) [-2026.063] (-2032.243) (-2021.380) * (-2023.757) (-2025.585) (-2037.128) [-2029.069] -- 0:00:24
890000 -- [-2019.492] (-2019.916) (-2027.378) (-2023.679) * [-2024.924] (-2023.040) (-2022.274) (-2028.081) -- 0:00:24
Average standard deviation of split frequencies: 0.008283
891000 -- [-2016.413] (-2022.213) (-2033.539) (-2016.965) * (-2023.390) [-2036.219] (-2031.895) (-2024.374) -- 0:00:24
892000 -- (-2035.314) (-2028.885) (-2022.043) [-2020.222] * [-2022.243] (-2029.165) (-2034.383) (-2015.658) -- 0:00:23
893000 -- (-2023.992) (-2020.442) [-2026.214] (-2032.204) * (-2032.720) (-2021.137) (-2027.328) [-2024.169] -- 0:00:23
894000 -- (-2040.109) (-2025.330) [-2024.770] (-2029.427) * [-2023.899] (-2024.209) (-2023.474) (-2020.696) -- 0:00:23
895000 -- (-2032.202) (-2019.131) [-2016.156] (-2031.079) * [-2027.493] (-2021.416) (-2026.062) (-2019.623) -- 0:00:23
Average standard deviation of split frequencies: 0.008129
896000 -- (-2019.538) (-2033.069) [-2023.763] (-2031.781) * (-2031.455) [-2022.261] (-2041.336) (-2026.277) -- 0:00:23
897000 -- [-2018.838] (-2021.869) (-2030.340) (-2024.987) * (-2030.144) (-2027.949) (-2033.559) [-2024.911] -- 0:00:22
898000 -- (-2027.126) (-2024.022) [-2017.249] (-2030.183) * (-2039.106) (-2027.944) (-2020.812) [-2024.427] -- 0:00:22
899000 -- (-2033.311) (-2030.741) (-2016.994) [-2019.362] * (-2032.102) [-2026.808] (-2027.910) (-2027.293) -- 0:00:22
900000 -- [-2029.481] (-2027.128) (-2031.077) (-2018.070) * (-2023.377) [-2022.915] (-2034.008) (-2031.968) -- 0:00:22
Average standard deviation of split frequencies: 0.008008
901000 -- (-2024.096) (-2029.793) (-2021.619) [-2018.389] * (-2020.825) (-2043.362) [-2019.685] (-2027.098) -- 0:00:21
902000 -- [-2023.349] (-2022.902) (-2020.743) (-2024.887) * (-2031.908) [-2021.851] (-2028.163) (-2026.472) -- 0:00:21
903000 -- (-2022.152) (-2033.805) (-2029.701) [-2022.037] * [-2034.236] (-2020.741) (-2039.171) (-2036.212) -- 0:00:21
904000 -- (-2031.309) [-2030.403] (-2024.101) (-2036.505) * (-2024.537) (-2027.191) [-2017.793] (-2034.291) -- 0:00:21
905000 -- [-2022.860] (-2030.116) (-2031.416) (-2038.967) * (-2022.444) [-2025.460] (-2032.429) (-2022.621) -- 0:00:20
Average standard deviation of split frequencies: 0.007909
906000 -- (-2024.978) [-2037.775] (-2021.761) (-2032.904) * (-2025.826) (-2033.766) (-2024.317) [-2028.646] -- 0:00:20
907000 -- (-2018.044) (-2034.199) [-2031.576] (-2024.065) * [-2024.472] (-2020.911) (-2038.900) (-2020.501) -- 0:00:20
908000 -- [-2032.551] (-2025.297) (-2026.291) (-2030.691) * (-2028.310) [-2024.041] (-2026.888) (-2025.234) -- 0:00:20
909000 -- (-2024.940) (-2026.568) [-2026.424] (-2021.730) * (-2022.869) (-2026.471) [-2020.339] (-2023.298) -- 0:00:20
910000 -- [-2026.752] (-2035.706) (-2030.605) (-2028.881) * [-2028.725] (-2022.611) (-2022.749) (-2032.901) -- 0:00:19
Average standard deviation of split frequencies: 0.008075
911000 -- [-2021.961] (-2024.941) (-2041.203) (-2018.786) * (-2026.395) (-2030.083) [-2027.857] (-2023.028) -- 0:00:19
912000 -- (-2023.805) (-2027.188) [-2027.072] (-2030.783) * (-2025.728) [-2018.994] (-2043.373) (-2024.607) -- 0:00:19
913000 -- [-2021.033] (-2034.639) (-2022.158) (-2030.034) * (-2033.558) [-2024.015] (-2040.558) (-2031.866) -- 0:00:19
914000 -- [-2022.325] (-2025.284) (-2021.051) (-2031.615) * (-2034.726) (-2022.800) (-2033.768) [-2026.297] -- 0:00:19
915000 -- (-2023.699) [-2027.387] (-2032.494) (-2021.896) * (-2029.542) (-2027.778) [-2026.940] (-2028.047) -- 0:00:18
Average standard deviation of split frequencies: 0.008389
916000 -- [-2015.531] (-2032.687) (-2029.734) (-2034.637) * (-2030.567) [-2022.181] (-2032.505) (-2029.056) -- 0:00:18
917000 -- (-2033.196) (-2027.057) [-2016.075] (-2030.323) * [-2029.477] (-2030.702) (-2033.431) (-2022.542) -- 0:00:18
918000 -- (-2029.839) (-2033.267) (-2034.940) [-2023.024] * (-2034.587) [-2021.197] (-2019.773) (-2030.250) -- 0:00:18
919000 -- (-2038.225) (-2030.048) [-2015.934] (-2019.126) * (-2027.434) (-2032.756) [-2023.928] (-2026.101) -- 0:00:17
920000 -- [-2025.495] (-2026.791) (-2026.841) (-2026.630) * (-2039.539) (-2018.453) (-2023.340) [-2022.751] -- 0:00:17
Average standard deviation of split frequencies: 0.008141
921000 -- (-2028.585) (-2029.688) [-2019.744] (-2028.262) * [-2030.071] (-2027.179) (-2033.354) (-2020.561) -- 0:00:17
922000 -- (-2023.629) [-2030.818] (-2028.571) (-2032.218) * (-2024.759) (-2030.867) (-2025.400) [-2023.380] -- 0:00:17
923000 -- (-2029.907) [-2028.423] (-2032.351) (-2034.985) * (-2029.624) (-2026.223) (-2023.368) [-2021.484] -- 0:00:17
924000 -- (-2020.004) [-2027.503] (-2032.040) (-2024.041) * (-2027.447) (-2027.650) (-2017.911) [-2015.981] -- 0:00:16
925000 -- [-2030.146] (-2029.506) (-2031.253) (-2027.382) * [-2020.961] (-2023.041) (-2030.561) (-2022.963) -- 0:00:16
Average standard deviation of split frequencies: 0.008094
926000 -- (-2031.761) (-2035.611) [-2027.671] (-2020.922) * (-2034.126) (-2026.287) (-2018.953) [-2023.094] -- 0:00:16
927000 -- (-2026.339) (-2032.181) (-2025.543) [-2020.906] * (-2027.163) [-2017.421] (-2017.489) (-2022.953) -- 0:00:16
928000 -- (-2044.470) [-2026.102] (-2023.358) (-2024.365) * (-2025.563) (-2032.086) [-2022.454] (-2033.908) -- 0:00:15
929000 -- (-2034.083) [-2027.447] (-2027.948) (-2029.697) * (-2030.379) (-2030.998) (-2015.047) [-2027.171] -- 0:00:15
930000 -- [-2019.232] (-2029.698) (-2026.621) (-2028.837) * [-2027.363] (-2027.655) (-2018.541) (-2031.020) -- 0:00:15
Average standard deviation of split frequencies: 0.008104
931000 -- [-2022.646] (-2034.179) (-2036.137) (-2027.102) * (-2033.285) [-2031.822] (-2021.198) (-2030.464) -- 0:00:15
932000 -- [-2023.323] (-2032.592) (-2024.885) (-2030.514) * (-2019.338) (-2022.501) [-2021.188] (-2022.784) -- 0:00:15
933000 -- (-2033.376) (-2017.741) (-2036.200) [-2023.678] * (-2025.280) (-2026.362) [-2023.540] (-2020.701) -- 0:00:14
934000 -- [-2027.472] (-2025.683) (-2031.453) (-2024.153) * (-2034.038) (-2018.311) (-2025.985) [-2015.634] -- 0:00:14
935000 -- [-2022.180] (-2039.815) (-2034.254) (-2023.705) * (-2024.089) (-2024.493) [-2019.970] (-2025.958) -- 0:00:14
Average standard deviation of split frequencies: 0.007983
936000 -- (-2037.996) (-2035.131) [-2026.733] (-2023.387) * (-2030.182) (-2037.507) [-2023.445] (-2032.522) -- 0:00:14
937000 -- (-2024.351) [-2036.610] (-2019.474) (-2035.396) * (-2046.880) [-2023.999] (-2040.250) (-2029.207) -- 0:00:13
938000 -- [-2025.485] (-2029.920) (-2030.737) (-2030.473) * (-2042.004) (-2021.995) (-2025.925) [-2029.694] -- 0:00:13
939000 -- [-2028.799] (-2034.742) (-2024.344) (-2027.661) * (-2024.588) (-2032.581) (-2023.509) [-2018.637] -- 0:00:13
940000 -- (-2030.538) (-2027.874) [-2026.878] (-2049.502) * [-2023.585] (-2032.218) (-2025.872) (-2029.719) -- 0:00:13
Average standard deviation of split frequencies: 0.007993
941000 -- (-2024.515) [-2020.298] (-2039.445) (-2026.951) * (-2030.905) (-2031.766) [-2024.067] (-2020.553) -- 0:00:13
942000 -- (-2019.991) (-2033.764) (-2040.697) [-2019.429] * (-2027.249) (-2025.989) [-2026.238] (-2026.973) -- 0:00:12
943000 -- (-2032.168) (-2033.593) (-2021.481) [-2023.074] * [-2017.526] (-2032.737) (-2025.470) (-2021.822) -- 0:00:12
944000 -- (-2024.800) (-2017.450) [-2023.648] (-2024.013) * (-2041.697) (-2047.405) (-2022.712) [-2026.175] -- 0:00:12
945000 -- [-2026.841] (-2022.842) (-2036.118) (-2017.959) * [-2021.317] (-2020.451) (-2026.847) (-2020.590) -- 0:00:12
Average standard deviation of split frequencies: 0.007973
946000 -- (-2035.314) (-2034.387) (-2022.054) [-2023.803] * (-2033.818) (-2021.918) (-2023.363) [-2024.753] -- 0:00:11
947000 -- (-2030.854) (-2027.097) (-2033.570) [-2022.170] * [-2019.669] (-2030.673) (-2027.702) (-2021.093) -- 0:00:11
948000 -- [-2020.979] (-2019.560) (-2024.530) (-2039.518) * (-2038.455) (-2035.800) (-2027.926) [-2030.220] -- 0:00:11
949000 -- [-2019.759] (-2018.954) (-2029.182) (-2040.949) * [-2028.300] (-2025.506) (-2030.128) (-2029.133) -- 0:00:11
950000 -- (-2028.542) [-2029.086] (-2026.971) (-2030.556) * (-2026.547) [-2027.872] (-2026.146) (-2031.795) -- 0:00:11
Average standard deviation of split frequencies: 0.007711
951000 -- [-2022.017] (-2036.440) (-2022.452) (-2024.622) * [-2026.264] (-2036.374) (-2024.195) (-2027.571) -- 0:00:10
952000 -- (-2029.226) (-2026.894) (-2034.270) [-2021.301] * (-2027.254) (-2034.204) [-2028.155] (-2031.229) -- 0:00:10
953000 -- (-2023.595) [-2025.320] (-2032.769) (-2036.757) * [-2024.833] (-2039.645) (-2026.475) (-2026.180) -- 0:00:10
954000 -- (-2028.608) (-2019.519) [-2025.406] (-2034.424) * (-2028.796) [-2029.748] (-2023.303) (-2023.318) -- 0:00:10
955000 -- (-2023.547) (-2036.386) (-2036.764) [-2022.508] * [-2027.230] (-2035.554) (-2021.998) (-2024.620) -- 0:00:09
Average standard deviation of split frequencies: 0.007964
956000 -- (-2040.062) (-2027.848) (-2029.241) [-2018.511] * (-2029.490) (-2027.706) [-2035.563] (-2017.696) -- 0:00:09
957000 -- (-2035.842) (-2032.636) (-2034.454) [-2034.388] * (-2029.477) [-2034.293] (-2031.458) (-2027.297) -- 0:00:09
958000 -- (-2025.602) (-2029.810) [-2026.720] (-2023.323) * (-2043.892) (-2030.918) (-2031.756) [-2026.919] -- 0:00:09
959000 -- (-2022.574) (-2024.140) [-2024.542] (-2024.582) * [-2035.301] (-2030.448) (-2028.391) (-2029.753) -- 0:00:09
960000 -- [-2022.073] (-2028.362) (-2030.168) (-2026.934) * (-2024.936) (-2028.517) (-2026.963) [-2018.941] -- 0:00:08
Average standard deviation of split frequencies: 0.008170
961000 -- (-2026.795) [-2028.439] (-2023.502) (-2032.255) * (-2026.158) (-2027.424) [-2022.636] (-2025.961) -- 0:00:08
962000 -- (-2030.510) (-2023.544) (-2021.387) [-2022.420] * (-2018.398) [-2021.230] (-2035.408) (-2024.450) -- 0:00:08
963000 -- [-2029.095] (-2018.115) (-2029.942) (-2023.378) * (-2027.306) (-2028.734) [-2022.194] (-2025.306) -- 0:00:08
964000 -- [-2029.134] (-2029.308) (-2034.880) (-2030.351) * (-2025.167) [-2021.568] (-2026.692) (-2027.671) -- 0:00:07
965000 -- (-2030.951) [-2027.201] (-2027.136) (-2027.172) * (-2033.171) (-2015.545) (-2027.109) [-2025.640] -- 0:00:07
Average standard deviation of split frequencies: 0.008198
966000 -- (-2031.583) (-2030.837) [-2026.712] (-2037.306) * (-2033.044) (-2024.154) [-2024.516] (-2025.698) -- 0:00:07
967000 -- (-2023.599) [-2032.697] (-2021.581) (-2032.258) * [-2031.149] (-2029.505) (-2027.236) (-2028.374) -- 0:00:07
968000 -- [-2025.820] (-2023.174) (-2023.737) (-2022.311) * (-2033.720) [-2018.873] (-2029.056) (-2022.896) -- 0:00:07
969000 -- [-2016.844] (-2023.536) (-2029.175) (-2039.105) * (-2030.970) [-2029.871] (-2026.828) (-2023.490) -- 0:00:06
970000 -- (-2017.506) (-2024.825) [-2022.255] (-2026.373) * (-2034.116) [-2023.493] (-2031.307) (-2025.898) -- 0:00:06
Average standard deviation of split frequencies: 0.008038
971000 -- [-2023.371] (-2025.966) (-2027.346) (-2025.431) * (-2022.447) [-2020.206] (-2037.267) (-2022.250) -- 0:00:06
972000 -- [-2020.390] (-2027.770) (-2024.659) (-2014.902) * (-2026.013) (-2019.120) [-2028.947] (-2038.371) -- 0:00:06
973000 -- [-2017.677] (-2031.768) (-2033.992) (-2022.244) * (-2027.423) [-2023.855] (-2040.209) (-2036.240) -- 0:00:05
974000 -- (-2021.324) (-2024.560) (-2024.395) [-2021.631] * [-2023.158] (-2030.568) (-2026.567) (-2038.768) -- 0:00:05
975000 -- (-2026.553) (-2026.995) [-2025.101] (-2029.249) * (-2029.709) [-2024.122] (-2017.761) (-2027.038) -- 0:00:05
Average standard deviation of split frequencies: 0.008042
976000 -- (-2025.630) [-2022.004] (-2027.420) (-2019.379) * [-2022.984] (-2038.150) (-2027.770) (-2033.918) -- 0:00:05
977000 -- (-2028.926) (-2027.603) (-2031.536) [-2016.514] * [-2020.703] (-2030.888) (-2021.828) (-2027.671) -- 0:00:05
978000 -- (-2025.669) [-2021.348] (-2035.093) (-2017.978) * [-2028.880] (-2022.866) (-2033.296) (-2029.547) -- 0:00:04
979000 -- (-2024.893) (-2018.896) [-2018.920] (-2017.244) * (-2025.207) [-2019.267] (-2024.893) (-2032.676) -- 0:00:04
980000 -- (-2031.832) [-2024.342] (-2032.223) (-2025.538) * (-2023.048) (-2023.138) [-2024.314] (-2034.965) -- 0:00:04
Average standard deviation of split frequencies: 0.007932
981000 -- (-2029.068) (-2023.646) (-2023.165) [-2024.429] * (-2024.096) [-2024.888] (-2026.192) (-2016.979) -- 0:00:04
982000 -- [-2018.003] (-2024.085) (-2021.027) (-2039.078) * [-2026.408] (-2033.695) (-2028.273) (-2032.063) -- 0:00:03
983000 -- (-2029.848) (-2026.142) [-2020.975] (-2020.977) * (-2028.915) [-2022.811] (-2023.238) (-2026.577) -- 0:00:03
984000 -- (-2031.136) (-2029.763) [-2026.360] (-2025.249) * [-2022.171] (-2018.412) (-2032.246) (-2028.033) -- 0:00:03
985000 -- (-2026.663) (-2033.760) (-2025.219) [-2026.286] * (-2023.346) [-2021.206] (-2020.626) (-2021.515) -- 0:00:03
Average standard deviation of split frequencies: 0.007673
986000 -- (-2026.317) [-2025.573] (-2025.593) (-2027.804) * (-2036.152) (-2028.809) (-2029.419) [-2031.305] -- 0:00:03
987000 -- (-2027.455) (-2026.249) (-2032.716) [-2038.227] * (-2026.700) (-2023.912) (-2032.168) [-2014.422] -- 0:00:02
988000 -- (-2032.013) [-2025.546] (-2030.186) (-2021.353) * (-2019.901) (-2032.899) (-2026.495) [-2020.740] -- 0:00:02
989000 -- (-2031.395) (-2024.820) (-2034.039) [-2025.808] * (-2020.046) (-2037.206) [-2029.386] (-2025.382) -- 0:00:02
990000 -- (-2037.089) [-2033.700] (-2024.829) (-2022.319) * (-2020.520) [-2029.796] (-2015.742) (-2023.575) -- 0:00:02
Average standard deviation of split frequencies: 0.007542
991000 -- [-2030.815] (-2022.305) (-2026.539) (-2030.726) * (-2023.257) [-2020.903] (-2028.420) (-2021.214) -- 0:00:01
992000 -- (-2025.339) (-2029.681) (-2033.254) [-2022.413] * [-2023.896] (-2017.591) (-2032.474) (-2018.675) -- 0:00:01
993000 -- [-2029.827] (-2018.479) (-2029.392) (-2031.812) * (-2032.650) (-2027.342) [-2024.302] (-2029.977) -- 0:00:01
994000 -- (-2017.715) (-2019.309) (-2027.579) [-2025.306] * (-2033.001) (-2031.750) [-2021.106] (-2032.092) -- 0:00:01
995000 -- (-2032.040) (-2021.334) [-2020.712] (-2021.533) * [-2021.979] (-2030.236) (-2023.585) (-2023.013) -- 0:00:01
Average standard deviation of split frequencies: 0.007336
996000 -- (-2021.370) (-2022.333) (-2030.206) [-2032.610] * (-2023.153) (-2045.911) (-2017.099) [-2024.732] -- 0:00:00
997000 -- [-2024.346] (-2039.417) (-2032.925) (-2028.151) * [-2036.989] (-2020.932) (-2023.882) (-2018.917) -- 0:00:00
998000 -- [-2021.741] (-2026.482) (-2026.677) (-2029.537) * (-2027.865) (-2024.469) [-2026.031] (-2026.863) -- 0:00:00
999000 -- (-2027.340) (-2024.978) (-2029.268) [-2035.255] * (-2020.892) (-2037.504) (-2028.087) [-2027.275] -- 0:00:00
1000000 -- (-2026.250) [-2026.260] (-2033.184) (-2021.285) * (-2035.590) (-2023.166) (-2032.002) [-2033.880] -- 0:00:00
Average standard deviation of split frequencies: 0.007208
Analysis completed in 3 mins 41 seconds
Analysis used 221.24 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -2009.08
Likelihood of best state for "cold" chain of run 2 was -2009.08
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
58.2 % ( 51 %) Dirichlet(Revmat{all})
77.8 % ( 61 %) Slider(Revmat{all})
23.9 % ( 24 %) Dirichlet(Pi{all})
27.1 % ( 22 %) Slider(Pi{all})
75.4 % ( 52 %) Multiplier(Alpha{1,2})
63.1 % ( 32 %) Multiplier(Alpha{3})
57.6 % ( 32 %) Slider(Pinvar{all})
48.6 % ( 45 %) ExtSPR(Tau{all},V{all})
28.6 % ( 26 %) ExtTBR(Tau{all},V{all})
51.6 % ( 48 %) NNI(Tau{all},V{all})
49.9 % ( 51 %) ParsSPR(Tau{all},V{all})
27.3 % ( 21 %) Multiplier(V{all})
66.9 % ( 73 %) Nodeslider(V{all})
26.5 % ( 32 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
56.6 % ( 45 %) Dirichlet(Revmat{all})
77.2 % ( 72 %) Slider(Revmat{all})
24.4 % ( 24 %) Dirichlet(Pi{all})
27.1 % ( 39 %) Slider(Pi{all})
76.0 % ( 55 %) Multiplier(Alpha{1,2})
63.4 % ( 35 %) Multiplier(Alpha{3})
58.7 % ( 44 %) Slider(Pinvar{all})
48.5 % ( 62 %) ExtSPR(Tau{all},V{all})
28.6 % ( 25 %) ExtTBR(Tau{all},V{all})
51.8 % ( 55 %) NNI(Tau{all},V{all})
49.4 % ( 37 %) ParsSPR(Tau{all},V{all})
27.3 % ( 22 %) Multiplier(V{all})
66.8 % ( 70 %) Nodeslider(V{all})
26.6 % ( 19 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.71 0.48 0.31
2 | 166349 0.73 0.51
3 | 165978 166572 0.75
4 | 166981 167475 166645
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.72 0.48 0.31
2 | 167176 0.73 0.51
3 | 167052 166511 0.75
4 | 166401 166656 166204
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)
+------------------------------------------------------------+ -2021.92
| 2 1 |
| 22 1 2 |
|21 2 2 22 |
| 2 1 1 1 2 |
|1 11*1 2221 2 1 2 2 2 2 * |
| 111 1 21 1 1 21 1 1 1 21 21112 2 111 |
| 2 2 1 1 1 1 1 1 12 1 2 |
| * 2 1 1 2 2 * 12 21 111 |
| 2 22 2 2 1 2 2 2 1 |
| 2 2 2 22 * 2 1|
| 1 1 2 1 |
| 2 2 |
| 1 1 2|
| 2 2 1 |
| 1 2 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -2027.81
^ ^
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 -2017.62 -2036.04
2 -2015.76 -2042.64
--------------------------------------
TOTAL -2016.31 -2041.94
--------------------------------------
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} 0.058628 0.000232 0.031436 0.086553 0.056198 1202.60 1269.64 1.000
r(A<->C){all} 0.018105 0.000328 0.000006 0.053829 0.012892 667.41 715.19 1.002
r(A<->G){all} 0.233463 0.006647 0.085242 0.391770 0.222993 378.18 406.02 1.001
r(A<->T){all} 0.155419 0.002957 0.061713 0.267491 0.149899 466.83 525.81 1.000
r(C<->G){all} 0.022724 0.000492 0.000016 0.066372 0.015715 641.19 727.87 1.000
r(C<->T){all} 0.514200 0.007926 0.339751 0.682881 0.514943 413.16 429.31 1.001
r(G<->T){all} 0.056088 0.001561 0.000118 0.132862 0.048729 429.95 498.97 1.001
pi(A){all} 0.283312 0.000160 0.258530 0.308366 0.283028 1195.38 1250.61 1.000
pi(C){all} 0.244634 0.000136 0.223502 0.269115 0.244217 1212.29 1299.28 1.000
pi(G){all} 0.219128 0.000131 0.197404 0.241699 0.218543 984.89 1185.46 1.000
pi(T){all} 0.252925 0.000141 0.228472 0.275742 0.252800 1116.38 1205.04 1.000
alpha{1,2} 0.111019 0.029304 0.000025 0.337894 0.069305 1207.82 1218.01 1.000
alpha{3} 2.389878 1.868197 0.181711 5.184123 2.106761 1188.05 1344.52 1.000
pinvar{all} 0.770377 0.014677 0.514489 0.911213 0.806768 664.45 676.86 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 2855 0.951033 0.004240 0.948035 0.954031 2
13 2216 0.738175 0.000942 0.737508 0.738841 2
14 1756 0.584943 0.000000 0.584943 0.584943 2
15 1067 0.355430 0.009893 0.348434 0.362425 2
16 992 0.330446 0.000942 0.329780 0.331113 2
17 943 0.314124 0.010835 0.306462 0.321785 2
18 698 0.232512 0.000000 0.232512 0.232512 2
19 615 0.204863 0.008009 0.199201 0.210526 2
20 612 0.203864 0.022612 0.187875 0.219853 2
21 604 0.201199 0.008480 0.195203 0.207195 2
22 592 0.197202 0.000942 0.196536 0.197868 2
23 589 0.196203 0.019315 0.182545 0.209860 2
24 577 0.192205 0.010835 0.184544 0.199867 2
25 576 0.191872 0.000000 0.191872 0.191872 2
26 572 0.190540 0.001884 0.189207 0.191872 2
27 570 0.189873 0.016017 0.178548 0.201199 2
28 568 0.189207 0.010364 0.181879 0.196536 2
29 526 0.175217 0.015075 0.164557 0.185876 2
30 332 0.110593 0.003769 0.107928 0.113258 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] 0.000781 0.000001 0.000000 0.002386 0.000533 1.000 2
length{all}[2] 0.001735 0.000002 0.000000 0.004900 0.001297 1.000 2
length{all}[3] 0.000779 0.000001 0.000000 0.002376 0.000534 1.000 2
length{all}[4] 0.000758 0.000001 0.000000 0.002286 0.000510 1.000 2
length{all}[5] 0.000747 0.000001 0.000000 0.002367 0.000501 1.000 2
length{all}[6] 0.000776 0.000001 0.000000 0.002373 0.000539 1.000 2
length{all}[7] 0.000757 0.000001 0.000000 0.002293 0.000516 1.000 2
length{all}[8] 0.000748 0.000001 0.000000 0.002193 0.000507 1.000 2
length{all}[9] 0.003001 0.000003 0.000308 0.006491 0.002662 1.001 2
length{all}[10] 0.002499 0.000003 0.000015 0.005697 0.002180 1.000 2
length{all}[11] 0.037220 0.000139 0.017475 0.060270 0.035227 1.000 2
length{all}[12] 0.002610 0.000003 0.000098 0.005845 0.002303 1.000 2
length{all}[13] 0.002612 0.000003 0.000116 0.005954 0.002244 1.000 2
length{all}[14] 0.001672 0.000002 0.000000 0.004075 0.001343 1.000 2
length{all}[15] 0.000785 0.000001 0.000001 0.002424 0.000497 1.000 2
length{all}[16] 0.000769 0.000001 0.000000 0.002417 0.000485 1.000 2
length{all}[17] 0.000762 0.000001 0.000000 0.002342 0.000496 0.999 2
length{all}[18] 0.001433 0.000002 0.000001 0.003952 0.001126 1.001 2
length{all}[19] 0.000773 0.000001 0.000002 0.002354 0.000502 1.011 2
length{all}[20] 0.000755 0.000001 0.000001 0.002167 0.000495 0.999 2
length{all}[21] 0.000762 0.000001 0.000000 0.002371 0.000517 0.999 2
length{all}[22] 0.000793 0.000001 0.000003 0.002285 0.000583 0.998 2
length{all}[23] 0.000776 0.000001 0.000000 0.002282 0.000506 1.001 2
length{all}[24] 0.000762 0.000001 0.000001 0.002342 0.000506 0.999 2
length{all}[25] 0.000736 0.000001 0.000004 0.002113 0.000508 0.998 2
length{all}[26] 0.000766 0.000001 0.000000 0.002309 0.000498 0.999 2
length{all}[27] 0.000741 0.000001 0.000002 0.002186 0.000568 0.999 2
length{all}[28] 0.000796 0.000001 0.000002 0.002327 0.000555 1.001 2
length{all}[29] 0.001987 0.000002 0.000008 0.004716 0.001654 0.998 2
length{all}[30] 0.001667 0.000002 0.000001 0.004230 0.001378 0.999 2
-------------------------------------------------------------------------------------------
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge. NA is reported when
deviation of parameter values within all runs is 0 or when a parameter
value (a branch length, for instance) is not sampled in all runs.
Summary statistics for partitions with frequency >= 0.10 in at least one run:
Average standard deviation of split frequencies = 0.007208
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 = 1.011
Clade credibility values:
/----------------------------------------------------------------------- C1 (1)
|
|----------------------------------------------------------------------- C2 (3)
|
|----------------------------------------------------------------------- C3 (4)
|
|----------------------------------------------------------------------- C6 (7)
|
+ /---------------------------- C10 (2)
| |
| /------74------+ /-------------- C4 (5)
| | | |
| | \-----100-----+-------------- C5 (6)
| /------58-----+ |
| | | \-------------- 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 (522 trees sampled):
50 % credible set contains 51 trees
90 % credible set contains 243 trees
95 % credible set contains 372 trees
99 % credible set contains 492 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'
Running FUBAR...
[2J[H /HYPHY 2.3.14.20190214beta(MP) for Linux on x86_64\
***************** TYPES OF STANDARD ANALYSES *****************
(1) Selection Analyses
(2) Evolutionary Hypothesis Testing
(3) Relative evolutionary rate inference
(4) Coevolutionary analysis
(5) Basic Analyses
(6) Codon Selection Analyses
(7) Compartmentalization
(8) Data File Tools
(9) Miscellaneous
(10) Model Comparison
(11) Kernel Analysis Tools
(12) Molecular Clock
(13) Phylogeny Reconstruction
(14) Positive Selection
(15) Recombination
(16) Selection/Recombination
(17) Relative Rate
(18) Relative Ratio
(19) Substitution Rates
Please select type of analyses you want to list (or press ENTER to process custom batch file):[2J[H***************** FILES IN 'Selection Analyses' *****************
(1) [MEME] Test for episodic site-level selection using MEME (Mixed Effects Model of Evolution).
(2) [FEL] Test for pervasive site-level selection using FEL (Fixed Effects Likelihood).
(3) [SLAC] Test for pervasive site-level selection using SLAC (Single Likelihood Ancestor Counting).
(4) [FUBAR] Test for pervasive site-level selection using FUBAR (Fast Unconstrained Bayesian AppRoximation for inferring selection).
(5) [BUSTED] Test for episodic gene-wide selection using BUSTED (Branch-site Unrestricted Statistical Test of Episodic Diversification).
(6) [aBSREL] Test for lineage-specific evolution using the branch-site method aBS-REL (Adaptive Branch-Site Random Effects Likelihood).
(7) [RELAX] Test for relaxation of selection pressure along a specified set of test branches using RELAX (a random effects test of selection relaxation).
Please select the analysis you would like to perform (or press ENTER to return to the list of analysis types):
Analysis Description
--------------------
Perform a Fast Unbiased AppRoximate Bayesian (FUBAR) analysis of a
coding sequence alignment to determine whether some sites have been
subject to pervasive purifying or diversifying selection. v2.1
introduces two more methods for estimating the posterior distribution of
grid weights: collapsed Gibbs MCMC (faster) and 0-th order Variation
Bayes approximation (fastest). Please note that a FUBAR analysis
generates a cache and a results JSON file in the same directory as
directory as the original alignment. HyPhy needs to have write
privileges to this directory. For example if the original file is in
/home/sergei/FUBAR/data/pol.nex then at the end of a FUBAR run, there
will also exist FUBAR-generated files
/home/sergei/FUBAR/data/pol.nex.FUBAR.json,
/home/sergei/FUBAR/data/pol.nex.fubrar.cache. They also provide
checkpointing so that a partially completed analysis can be restarted.
- __Requirements__: in-frame codon alignment (possibly partitioned) and a phylogenetic tree
(one per partition)
- __Citation__: FUBAR: a fast, unconstrained bayesian approximation for inferring
selection (2013), Mol Biol Evol. 30(5):1196-205
- __Written by__: Sergei L Kosakovsky Pond
- __Contact Information__: spond@temple.edu
- __Analysis Version__: 2.1
####Choose Genetic Code
1. [**Universal**] Universal code. (Genebank transl_table=1).
2. [**Vertebrate mtDNA**] Vertebrate mitochondrial DNA code. (Genebank transl_table=2).
3. [**Yeast mtDNA**] Yeast mitochondrial DNA code. (Genebank transl_table=3).
4. [**Mold/Protozoan mtDNA**] Mold, Protozoan and Coelenterate mitochondrial DNA and the Mycloplasma/Spiroplasma code. (Genebank transl_table=4).
5. [**Invertebrate mtDNA**] Invertebrate mitochondrial DNA code. (Genebank transl_table=5).
6. [**Ciliate Nuclear**] Ciliate, Dasycladacean and Hexamita Nuclear code. (Genebank transl_table=6).
7. [**Echinoderm mtDNA**] Echinoderm mitochondrial DNA code. (Genebank transl_table=9).
8. [**Euplotid Nuclear**] Euplotid Nuclear code. (Genebank transl_table=10).
9. [**Alt. Yeast Nuclear**] Alternative Yeast Nuclear code. (Genebank transl_table=12).
10. [**Ascidian mtDNA**] Ascidian mitochondrial DNA code. (Genebank transl_table=13).
11. [**Flatworm mtDNA**] Flatworm mitochondrial DNA code. (Genebank transl_table=14).
12. [**Blepharisma Nuclear**] Blepharisma Nuclear code. (Genebank transl_table=15).
13. [**Chlorophycean mtDNA**] Chlorophycean Mitochondrial Code (transl_table=16).
14. [**Trematode mtDNA**] Trematode Mitochondrial Code (transl_table=21).
15. [**Scenedesmus obliquus mtDNA**] Scenedesmus obliquus mitochondrial Code (transl_table=22).
16. [**Thraustochytrium mtDNA**] Thraustochytrium Mitochondrial Code (transl_table=23).
17. [**Pterobranchia mtDNA**] Pterobranchia Mitochondrial Code (transl_table=24).
18. [**SR1 and Gracilibacteria**] Candidate Division SR1 and Gracilibacteria Code (transl_table=25).
19. [**Pachysolen Nuclear**] Pachysolen tannophilus Nuclear Code (transl_table=26).
>Please choose an option (or press q to cancel selection):
>Select a coding sequence alignment file (`/usr/local/lib/hyphy/TemplateBatchFiles/SelectionAnalyses/`)
>A tree was found in the data file: `(C1,C2,C3,C6,(((C10,(C4,C5,C7)),C9),C8))`
>Would you like to use it (y/n)?
>Loaded a multiple sequence alignment with **10** sequences, **423** codons, and **1** partitions from `/data//pss_subsets/B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result/original_alignment/fubar/results/B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result.1/B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result.1.fna`
> FUBAR will write cache and result files to _/data//pss_subsets/B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result/original_alignment/fubar/results/B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result.1/B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result.1.fna.FUBAR.cache_ and _/data//pss_subsets/B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result/original_alignment/fubar/results/B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result.1/B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result.1.fna.FUBAR.json_, respectively
> Number of grid points per dimension (total number is D^2) (permissible range = [5,50], default value = 20, integer):
####Posterior estimation method
1. [**Metropolis-Hastings**] Full Metropolis-Hastings MCMC algorithm (slowest, original 2013 paper implementation)
2. [**Collapsed Gibbs**] Collapsed Gibbs sampler (intermediate speed)
3. [**Variational Bayes**] 0-th order Variational Bayes approximations (fastest, recommended default)
>Please choose an option (or press q to cancel selection):> The concentration parameter of the Dirichlet prior (permissible range = [0.001,1], default value = 0.5):
### Obtaining branch lengths and nucleotide substitution biases under the nucleotide GTR model
* Log(L) = -2016.93, AIC-c = 4077.93 (22 estimated parameters)
* Tree length (expected substitutions/site) for partition 1 : 0.037
### Computing the phylogenetic likelihood function on the grid
* Determining appropriate tree scaling based on the best score from a 20 x 20 rate grid
* Best scaling achieved for
* synonymous rate = 2.815
* non-synonymous rate = 0.286
* Computing conditional site likelihoods on a 20 x 20 rate grid
### Running an iterative zeroth order variational Bayes procedure to estimate the posterior mean of rate weights
* Using the following settings
* Dirichlet alpha : 0.5
### Tabulating site-level results
| Codon | Partition | alpha | beta |Posterior prob for positive selection|
|:--------------:|:--------------:|:--------------:|:--------------:|:-----------------------------------:|
| 420 | 1 | 3.398 | 34.445 | Pos. posterior = 0.9459 |
----
## FUBAR inferred 1 sites subject to diversifying positive selection at posterior probability >= 0.9
Of these, 0.05 are expected to be false positives (95% confidence interval of 0-1 )
CLUSTAL FORMAT for T-COFFEE Version_12.00.7fb08c2 [http://www.tcoffee.org] [MODE: ], CPU=0.07 sec, SCORE=1000, Nseq=10, Len=423
B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
B07f_N_ABN10864_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
BtTp_GX2012_NA_AIA62359_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQSNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
CZ01_N_AWH65884_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQSNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
HKU4_1_B04f_N_YP_001039960_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
CZ07_N_AWH65895_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQSNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
LMH1f_N_ABN10873_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
SM3A_NA_QQD78090_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU40 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH
*******************.******************************
B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
B07f_N_ABN10864_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
BtTp_GX2012_NA_AIA62359_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
CZ01_N_AWH65884_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
HKU4_1_B04f_N_YP_001039960_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
CZ07_N_AWH65895_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
LMH1f_N_ABN10873_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
SM3A_NA_QQD78090_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU40 GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF
**************************************************
B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
B07f_N_ABN10864_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
BtTp_GX2012_NA_AIA62359_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
CZ01_N_AWH65884_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
HKU4_1_B04f_N_YP_001039960_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
CZ07_N_AWH65895_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
LMH1f_N_ABN10873_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
SM3A_NA_QQD78090_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU40 YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF
**************************************************
B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSSSRGGRSTSNSRGTS
B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSSSRGGRSTSNSRGTS
B07f_N_ABN10864_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSSSRGGRSTSNSRGTS
BtTp_GX2012_NA_AIA62359_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS
CZ01_N_AWH65884_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS
HKU4_1_B04f_N_YP_001039960_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSSSRGGRSTSNSRGTS
CZ07_N_AWH65895_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS
LMH1f_N_ABN10873_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS
SM3A_NA_QQD78090_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS
B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU40 APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS
***********************************.**************
B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
B07f_N_ABN10864_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
BtTp_GX2012_NA_AIA62359_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
CZ01_N_AWH65884_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
HKU4_1_B04f_N_YP_001039960_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
CZ07_N_AWH65895_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
LMH1f_N_ABN10873_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
SM3A_NA_QQD78090_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU40 PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK
**************************************************
B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
B07f_N_ABN10864_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
BtTp_GX2012_NA_AIA62359_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MRHKRVATKSFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
CZ01_N_AWH65884_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 MRHKRVATKSFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
HKU4_1_B04f_N_YP_001039960_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
CZ07_N_AWH65895_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 MRHKRVATKSFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
LMH1f_N_ABN10873_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
SM3A_NA_QQD78090_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU40 MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL
*********.****************************************
B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
B07f_N_ABN10864_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
BtTp_GX2012_NA_AIA62359_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
CZ01_N_AWH65884_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
HKU4_1_B04f_N_YP_001039960_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
CZ07_N_AWH65895_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
LMH1f_N_ABN10873_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
SM3A_NA_QQD78090_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU40 APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE
**************************************************
B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
B07f_N_ABN10864_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
BtTp_GX2012_NA_AIA62359_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4 LLEANIDAYKTFPKKERKPKTTEDGAVSSSSASQMEDVDAKPQRKPKSRV
CZ01_N_AWH65884_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 LLEANIDAYKTFPKKERKPKTTEDGAVSSSSASQMEDVDAKPQRKPKSRV
HKU4_1_B04f_N_YP_001039960_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
CZ07_N_AWH65895_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 LLEANIDAYKTFPKKERKPKTTEDGAVSSSSASQMEDVDAKPQRKPKSRV
LMH1f_N_ABN10873_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
SM3A_NA_QQD78090_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU40 LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV
***:***********************:**********************
B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 AGSITMRSGSLPALQDVTFDSEA
B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 AGSITMRSGSLPALQDVTFDSEA
B07f_N_ABN10864_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 AGSITMRSGSLPALQDVTFDSEA
BtTp_GX2012_NA_AIA62359_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4 AGSITMRSGSSPALQDVTFDSEA
CZ01_N_AWH65884_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 AGSITMRSGSSPALQDVTFDSEA
HKU4_1_B04f_N_YP_001039960_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 AGSITMRSGSLPALQDVTFDSEA
CZ07_N_AWH65895_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 AGSITMRSGSSPALQDVTFDSEA
LMH1f_N_ABN10873_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 AGSITMRSGSSPALQDVTFNSEA
SM3A_NA_QQD78090_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4 AGSITMRSGSSPALQDVTFDSEA
B04f_N_ABN10846_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU40 AGSITMRSGSSPALQDVTFNSEA
********** ********:***
>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 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSSSRGGRSTSNSRGTS PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV AGSITMRSGSLPALQDVTFDSEA >B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSSSRGGRSTSNSRGTS PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV AGSITMRSGSLPALQDVTFDSEA >B07f_N_ABN10864_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSSSRGGRSTSNSRGTS PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV AGSITMRSGSLPALQDVTFDSEA >BtTp_GX2012_NA_AIA62359_1_2012_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQSNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK MRHKRVATKSFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE LLEANIDAYKTFPKKERKPKTTEDGAVSSSSASQMEDVDAKPQRKPKSRV AGSITMRSGSSPALQDVTFDSEA >CZ01_N_AWH65884_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQSNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK MRHKRVATKSFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE LLEANIDAYKTFPKKERKPKTTEDGAVSSSSASQMEDVDAKPQRKPKSRV AGSITMRSGSSPALQDVTFDSEA >HKU4_1_B04f_N_YP_001039960_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSSSRGGRSTSNSRGTS PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV AGSITMRSGSLPALQDVTFDSEA >CZ07_N_AWH65895_1_2012_11_01_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQSNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK MRHKRVATKSFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE LLEANIDAYKTFPKKERKPKTTEDGAVSSSSASQMEDVDAKPQRKPKSRV AGSITMRSGSSPALQDVTFDSEA >LMH1f_N_ABN10873_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV AGSITMRSGSSPALQDVTFNSEA >SM3A_NA_QQD78090_1_2010_08_16_Hong_Kong_Bat_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV AGSITMRSGSSPALQDVTFDSEA >SZ140324_N_AWH65906_1_2014_04_23_China_Unknown_Tylonycteris_bat_coronavirus_HKU4 MATPAAPRTISFADNNDNQPNQQQRGRGRNPKPRPAPNNTVSWYTGLTQH GKNPLAFPPGQGVPLNANSTTAQNAGYWRRQDRKINTGNGVKQLAPRWFF YYTGTGPEANLPFRSVKDGIVWVYEEGATDAPSVFGTRNPANDAAIVCQF APGTLIPKNFHIEGTGGNSQSSSRASSNSRNSSRSNSRGGRSTSNSRGTS PVSHGVGSAESLAALPLLLDLQKRLADLESGKSKQPKVVTKKDAAAAKNK MRHKRVATKGFNVTQAFGLRGPGPLQGNFGDMNYNKFGTEDPRWPQMAEL APSASAFMSMSQFKLTHQSNDDKGDPIYFLSYSGAIKLDPKNPNYKKWLE LLESNIDAYKTFPKKERKPKTTEDGAVASSSASQMEDVDAKPQRKPKSRV AGSITMRSGSSPALQDVTFNSEA
Reading sequence file /data//pss_subsets/B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result/original_alignment/fubar/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: 1.18e-01 (1000 permutations)
Max Chi^2: 9.90e-01 (1000 permutations)
PHI (Permutation): 5.55e-01 (1000 permutations)
PHI (Normal): 3.41e-01
#NEXUS
[ID: 1650830508]
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 = (1:5.328127e-04,3:5.338806e-04,4:5.099363e-04,7:5.161312e-04,(((2:1.297108e-03,(5:5.006557e-04,6:5.387773e-04,8:5.066466e-04)1.000:3.522680e-02)0.738:2.244349e-03,10:2.179756e-03)0.585:1.342772e-03,9:2.661892e-03)0.951:2.302631e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:5.328127e-04,3:5.338806e-04,4:5.099363e-04,7:5.161312e-04,(((2:1.297108e-03,(5:5.006557e-04,6:5.387773e-04,8:5.066466e-04):3.522680e-02):2.244349e-03,10:2.179756e-03):1.342772e-03,9:2.661892e-03):2.302631e-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.
[2J[H /HYPHY 2.3.14.20190214beta(MP) for Linux on x86_64\ ***************** TYPES OF STANDARD ANALYSES ***************** (1) Selection Analyses (2) Evolutionary Hypothesis Testing (3) Relative evolutionary rate inference (4) Coevolutionary analysis (5) Basic Analyses (6) Codon Selection Analyses (7) Compartmentalization (8) Data File Tools (9) Miscellaneous (10) Model Comparison (11) Kernel Analysis Tools (12) Molecular Clock (13) Phylogeny Reconstruction (14) Positive Selection (15) Recombination (16) Selection/Recombination (17) Relative Rate (18) Relative Ratio (19) Substitution Rates Please select type of analyses you want to list (or press ENTER to process custom batch file):[2J[H***************** FILES IN 'Selection Analyses' ***************** (1) [MEME] Test for episodic site-level selection using MEME (Mixed Effects Model of Evolution). (2) [FEL] Test for pervasive site-level selection using FEL (Fixed Effects Likelihood). (3) [SLAC] Test for pervasive site-level selection using SLAC (Single Likelihood Ancestor Counting). (4) [FUBAR] Test for pervasive site-level selection using FUBAR (Fast Unconstrained Bayesian AppRoximation for inferring selection). (5) [BUSTED] Test for episodic gene-wide selection using BUSTED (Branch-site Unrestricted Statistical Test of Episodic Diversification). (6) [aBSREL] Test for lineage-specific evolution using the branch-site method aBS-REL (Adaptive Branch-Site Random Effects Likelihood). (7) [RELAX] Test for relaxation of selection pressure along a specified set of test branches using RELAX (a random effects test of selection relaxation). Please select the analysis you would like to perform (or press ENTER to return to the list of analysis types): Analysis Description -------------------- Perform a Fast Unbiased AppRoximate Bayesian (FUBAR) analysis of a coding sequence alignment to determine whether some sites have been subject to pervasive purifying or diversifying selection. v2.1 introduces two more methods for estimating the posterior distribution of grid weights: collapsed Gibbs MCMC (faster) and 0-th order Variation Bayes approximation (fastest). Please note that a FUBAR analysis generates a cache and a results JSON file in the same directory as directory as the original alignment. HyPhy needs to have write privileges to this directory. For example if the original file is in /home/sergei/FUBAR/data/pol.nex then at the end of a FUBAR run, there will also exist FUBAR-generated files /home/sergei/FUBAR/data/pol.nex.FUBAR.json, /home/sergei/FUBAR/data/pol.nex.fubrar.cache. They also provide checkpointing so that a partially completed analysis can be restarted. - __Requirements__: in-frame codon alignment (possibly partitioned) and a phylogenetic tree (one per partition) - __Citation__: FUBAR: a fast, unconstrained bayesian approximation for inferring selection (2013), Mol Biol Evol. 30(5):1196-205 - __Written by__: Sergei L Kosakovsky Pond - __Contact Information__: spond@temple.edu - __Analysis Version__: 2.1 ####Choose Genetic Code 1. [**Universal**] Universal code. (Genebank transl_table=1). 2. [**Vertebrate mtDNA**] Vertebrate mitochondrial DNA code. (Genebank transl_table=2). 3. [**Yeast mtDNA**] Yeast mitochondrial DNA code. (Genebank transl_table=3). 4. [**Mold/Protozoan mtDNA**] Mold, Protozoan and Coelenterate mitochondrial DNA and the Mycloplasma/Spiroplasma code. (Genebank transl_table=4). 5. [**Invertebrate mtDNA**] Invertebrate mitochondrial DNA code. (Genebank transl_table=5). 6. [**Ciliate Nuclear**] Ciliate, Dasycladacean and Hexamita Nuclear code. (Genebank transl_table=6). 7. [**Echinoderm mtDNA**] Echinoderm mitochondrial DNA code. (Genebank transl_table=9). 8. [**Euplotid Nuclear**] Euplotid Nuclear code. (Genebank transl_table=10). 9. [**Alt. Yeast Nuclear**] Alternative Yeast Nuclear code. (Genebank transl_table=12). 10. [**Ascidian mtDNA**] Ascidian mitochondrial DNA code. (Genebank transl_table=13). 11. [**Flatworm mtDNA**] Flatworm mitochondrial DNA code. (Genebank transl_table=14). 12. [**Blepharisma Nuclear**] Blepharisma Nuclear code. (Genebank transl_table=15). 13. [**Chlorophycean mtDNA**] Chlorophycean Mitochondrial Code (transl_table=16). 14. [**Trematode mtDNA**] Trematode Mitochondrial Code (transl_table=21). 15. [**Scenedesmus obliquus mtDNA**] Scenedesmus obliquus mitochondrial Code (transl_table=22). 16. [**Thraustochytrium mtDNA**] Thraustochytrium Mitochondrial Code (transl_table=23). 17. [**Pterobranchia mtDNA**] Pterobranchia Mitochondrial Code (transl_table=24). 18. [**SR1 and Gracilibacteria**] Candidate Division SR1 and Gracilibacteria Code (transl_table=25). 19. [**Pachysolen Nuclear**] Pachysolen tannophilus Nuclear Code (transl_table=26). >Please choose an option (or press q to cancel selection): >Select a coding sequence alignment file (`/usr/local/lib/hyphy/TemplateBatchFiles/SelectionAnalyses/`) >A tree was found in the data file: `(C1,C2,C3,C6,(((C10,(C4,C5,C7)),C9),C8))` >Would you like to use it (y/n)? >Loaded a multiple sequence alignment with **10** sequences, **423** codons, and **1** partitions from `/data//pss_subsets/B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result/original_alignment/fubar/results/B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result.1/B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result.1.fna` > FUBAR will write cache and result files to _/data//pss_subsets/B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result/original_alignment/fubar/results/B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result.1/B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result.1.fna.FUBAR.cache_ and _/data//pss_subsets/B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result/original_alignment/fubar/results/B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result.1/B05f_N_ABN10855_1_NA_China_Bat_Tylonycteris_bat_coronavirus_HKU4.result.1.fna.FUBAR.json_, respectively > Number of grid points per dimension (total number is D^2) (permissible range = [5,50], default value = 20, integer): ####Posterior estimation method 1. [**Metropolis-Hastings**] Full Metropolis-Hastings MCMC algorithm (slowest, original 2013 paper implementation) 2. [**Collapsed Gibbs**] Collapsed Gibbs sampler (intermediate speed) 3. [**Variational Bayes**] 0-th order Variational Bayes approximations (fastest, recommended default) >Please choose an option (or press q to cancel selection):> The concentration parameter of the Dirichlet prior (permissible range = [0.001,1], default value = 0.5): ### Obtaining branch lengths and nucleotide substitution biases under the nucleotide GTR model * Log(L) = -2016.93, AIC-c = 4077.93 (22 estimated parameters) * Tree length (expected substitutions/site) for partition 1 : 0.037 ### Computing the phylogenetic likelihood function on the grid * Determining appropriate tree scaling based on the best score from a 20 x 20 rate grid * Best scaling achieved for * synonymous rate = 2.815 * non-synonymous rate = 0.286 * Computing conditional site likelihoods on a 20 x 20 rate grid ### Running an iterative zeroth order variational Bayes procedure to estimate the posterior mean of rate weights * Using the following settings * Dirichlet alpha : 0.5 ### Tabulating site-level results | Codon | Partition | alpha | beta |Posterior prob for positive selection| |:--------------:|:--------------:|:--------------:|:--------------:|:-----------------------------------:| | 420 | 1 | 3.398 | 34.445 | Pos. posterior = 0.9459 | ---- ## FUBAR inferred 1 sites subject to diversifying positive selection at posterior probability >= 0.9 Of these, 0.05 are expected to be false positives (95% confidence interval of 0-1 )
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
