--- 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 -703.19 -723.49
2 -702.62 -720.98
--------------------------------------
TOTAL -702.86 -722.88
--------------------------------------
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} 0.071554 0.000609 0.031372 0.118848 0.066702 249.66 460.50 1.000
r(A<->C){all} 0.047443 0.002108 0.000061 0.143547 0.033003 205.65 222.70 1.000
r(A<->G){all} 0.369725 0.010883 0.185455 0.579342 0.364672 78.63 79.24 1.000
r(A<->T){all} 0.022129 0.000465 0.000005 0.065063 0.016177 390.71 434.83 1.000
r(C<->G){all} 0.049648 0.002419 0.000040 0.151526 0.033923 131.48 133.52 1.000
r(C<->T){all} 0.463129 0.011066 0.264417 0.663237 0.460671 90.18 138.37 1.001
r(G<->T){all} 0.047927 0.001087 0.000412 0.111007 0.041068 289.98 336.23 1.002
pi(A){all} 0.248161 0.000474 0.206170 0.291312 0.248059 1012.21 1025.36 1.001
pi(C){all} 0.148911 0.000288 0.117113 0.182207 0.148354 940.43 983.96 1.000
pi(G){all} 0.239452 0.000427 0.198005 0.277497 0.238743 738.75 918.08 1.000
pi(T){all} 0.363475 0.000550 0.315593 0.407617 0.363062 900.82 942.57 1.003
alpha{1,2} 0.400466 0.438994 0.000468 1.712459 0.151900 406.44 423.74 1.000
alpha{3} 1.791556 1.558223 0.001470 4.200368 1.537731 569.28 775.92 1.000
pinvar{all} 0.513429 0.054434 0.067314 0.849455 0.565450 250.71 260.79 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 Sat Nov 05 01:39:45 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result--
CLUSTAL FORMAT for T-COFFEE Version_12.00.7fb08c2 [http://www.tcoffee.org] [MODE: ], CPU=0.09 sec, SCORE=1000, Nseq=26, Len=135
C1 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C2 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C3 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C4 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C5 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPISNCIKMLSNGAG
C6 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C7 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C8 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C9 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C10 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C11 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C12 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C13 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C14 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C15 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C16 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C17 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C18 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C19 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C20 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C21 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C22 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C23 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C24 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C25 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C26 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
*************************************:************
C1 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C2 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C3 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C4 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C5 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C6 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C7 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C8 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C9 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C10 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C11 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C12 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C13 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C14 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C15 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C16 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C17 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C18 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C19 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C20 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C21 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C22 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C23 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C24 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C25 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C26 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
**************************************************
C1 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C2 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C3 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C4 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C5 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C6 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C7 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C8 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C9 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C10 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C11 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C12 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C13 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C14 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C15 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C16 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C17 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C18 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C19 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C20 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C21 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C22 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C23 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C24 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C25 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C26 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
***********************************
-- Starting log on Sat Nov 05 01:40:11 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result--
CLUSTAL FORMAT for T-COFFEE Version_12.00.7fb08c2 [http://www.tcoffee.org] [MODE: ], CPU=0.16 sec, SCORE=1000, Nseq=26, Len=135
C1 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C2 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C3 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C4 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C5 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPISNCIKMLSNGAG
C6 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C7 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C8 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C9 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C10 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C11 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C12 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C13 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C14 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C15 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C16 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C17 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C18 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C19 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C20 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C21 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C22 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C23 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C24 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C25 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C26 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
*************************************:************
C1 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C2 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C3 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C4 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C5 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C6 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C7 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C8 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C9 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C10 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C11 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C12 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C13 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C14 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C15 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C16 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C17 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C18 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C19 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C20 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C21 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C22 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C23 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C24 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C25 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C26 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
**************************************************
C1 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C2 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C3 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C4 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C5 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C6 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C7 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C8 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C9 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C10 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C11 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C12 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C13 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C14 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C15 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C16 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C17 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C18 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C19 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C20 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C21 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C22 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C23 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C24 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C25 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C26 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
***********************************
-- Starting log on Sat Nov 05 01:39:45 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result--
CLUSTAL FORMAT for T-COFFEE Version_12.00.7fb08c2 [http://www.tcoffee.org] [MODE: ], CPU=0.09 sec, SCORE=1000, Nseq=26, Len=135
C1 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C2 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C3 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C4 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C5 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPISNCIKMLSNGAG
C6 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C7 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C8 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C9 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C10 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C11 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C12 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C13 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C14 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C15 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C16 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C17 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C18 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C19 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C20 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C21 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C22 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C23 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C24 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C25 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C26 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
*************************************:************
C1 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C2 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C3 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C4 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C5 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C6 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C7 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C8 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C9 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C10 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C11 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C12 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C13 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C14 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C15 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C16 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C17 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C18 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C19 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C20 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C21 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C22 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C23 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C24 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C25 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C26 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
**************************************************
C1 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C2 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C3 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C4 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C5 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C6 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C7 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C8 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C9 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C10 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C11 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C12 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C13 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C14 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C15 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C16 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C17 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C18 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C19 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C20 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C21 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C22 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C23 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C24 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C25 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C26 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
***********************************
-- Starting log on Sat Nov 05 02:42:13 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result/gapped_alignment/fubar,NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.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 26 taxa and 405 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 -> C11
Taxon 4 -> C12
Taxon 5 -> C13
Taxon 6 -> C14
Taxon 7 -> C15
Taxon 8 -> C16
Taxon 9 -> C17
Taxon 10 -> C18
Taxon 11 -> C19
Taxon 12 -> C2
Taxon 13 -> C20
Taxon 14 -> C21
Taxon 15 -> C22
Taxon 16 -> C23
Taxon 17 -> C24
Taxon 18 -> C25
Taxon 19 -> C26
Taxon 20 -> C3
Taxon 21 -> C4
Taxon 22 -> C5
Taxon 23 -> C6
Taxon 24 -> C7
Taxon 25 -> C8
Taxon 26 -> C9
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1667616135
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) = 1133581251
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 = 3893300385
Seed = 955649968
Swapseed = 1667616135
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 6 unique site patterns
Division 2 has 4 unique site patterns
Division 3 has 22 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 -- -1154.373350 -- 74.568658
Chain 2 -- -1150.231160 -- 74.568658
Chain 3 -- -1130.151876 -- 74.568658
Chain 4 -- -1144.142107 -- 74.568658
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -1133.461732 -- 74.568658
Chain 2 -- -1146.787471 -- 74.568658
Chain 3 -- -1159.052679 -- 74.568658
Chain 4 -- -1140.600388 -- 74.568658
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-1154.373] (-1150.231) (-1130.152) (-1144.142) * [-1133.462] (-1146.787) (-1159.053) (-1140.600)
1000 -- (-776.369) (-763.680) (-733.053) [-731.586] * [-748.678] (-764.726) (-721.869) (-754.716) -- 0:00:00
2000 -- (-734.538) (-745.751) [-719.313] (-725.843) * (-726.152) (-734.965) [-712.178] (-725.637) -- 0:00:00
3000 -- (-725.556) (-735.219) [-718.622] (-716.040) * (-717.584) (-724.975) [-713.514] (-720.069) -- 0:05:32
4000 -- (-708.039) (-736.773) [-718.371] (-721.786) * [-715.357] (-711.555) (-716.347) (-719.071) -- 0:04:09
5000 -- (-706.007) (-729.663) [-713.850] (-714.731) * (-712.923) (-726.509) [-712.129] (-720.861) -- 0:03:19
Average standard deviation of split frequencies: 0.085254
6000 -- [-714.332] (-742.737) (-721.479) (-720.128) * (-721.515) (-729.231) [-712.433] (-712.649) -- 0:05:31
7000 -- [-709.770] (-722.189) (-720.310) (-710.239) * (-724.719) (-710.110) [-710.906] (-734.979) -- 0:04:43
8000 -- (-721.696) (-713.995) [-714.234] (-706.842) * (-718.968) (-723.249) [-708.012] (-755.939) -- 0:06:12
9000 -- [-707.996] (-719.671) (-712.745) (-725.974) * [-714.942] (-720.743) (-710.557) (-756.315) -- 0:05:30
10000 -- (-715.394) (-714.964) [-709.550] (-746.822) * (-720.054) (-713.417) [-709.640] (-759.037) -- 0:04:57
Average standard deviation of split frequencies: 0.065866
11000 -- (-712.711) (-721.778) [-706.510] (-714.860) * [-718.129] (-727.514) (-710.838) (-756.063) -- 0:05:59
12000 -- (-718.161) (-712.947) (-721.189) [-711.034] * (-726.428) [-712.338] (-713.669) (-745.679) -- 0:05:29
13000 -- (-721.669) [-708.483] (-719.766) (-722.396) * (-720.813) [-720.693] (-717.483) (-753.903) -- 0:06:19
14000 -- (-725.656) (-711.762) [-706.973] (-738.784) * (-716.521) [-712.409] (-721.457) (-754.114) -- 0:05:52
15000 -- (-750.864) [-716.204] (-723.155) (-716.729) * [-713.159] (-717.275) (-712.195) (-750.929) -- 0:05:28
Average standard deviation of split frequencies: 0.069880
16000 -- (-752.696) [-711.789] (-721.522) (-732.596) * (-710.137) (-717.401) [-706.673] (-744.426) -- 0:06:09
17000 -- (-745.492) [-712.751] (-712.396) (-711.009) * (-721.854) [-706.421] (-704.976) (-753.228) -- 0:05:46
18000 -- (-747.589) [-703.096] (-726.618) (-701.310) * (-723.626) (-705.613) [-711.351] (-747.155) -- 0:05:27
19000 -- (-744.699) [-702.431] (-714.655) (-719.374) * (-723.477) [-713.753] (-717.536) (-747.859) -- 0:06:01
20000 -- (-755.113) [-715.846] (-710.448) (-714.885) * (-710.023) [-710.988] (-716.377) (-741.316) -- 0:05:43
Average standard deviation of split frequencies: 0.066356
21000 -- (-746.004) [-708.479] (-717.011) (-708.559) * (-709.434) [-710.349] (-723.064) (-739.441) -- 0:06:12
22000 -- (-748.436) [-707.690] (-711.825) (-723.557) * (-723.189) [-713.644] (-714.982) (-751.050) -- 0:05:55
23000 -- (-756.115) [-707.217] (-716.781) (-743.795) * (-731.541) [-706.432] (-709.454) (-752.870) -- 0:05:39
24000 -- (-750.193) [-711.325] (-710.068) (-747.296) * (-740.457) [-707.475] (-716.807) (-745.886) -- 0:06:06
25000 -- (-755.418) [-712.805] (-717.585) (-746.935) * (-706.637) [-704.652] (-727.951) (-755.162) -- 0:05:51
Average standard deviation of split frequencies: 0.053519
26000 -- (-745.447) [-713.034] (-716.894) (-750.619) * (-723.227) [-708.350] (-708.772) (-757.908) -- 0:05:37
27000 -- (-750.014) (-715.042) [-706.492] (-757.126) * (-715.484) [-704.047] (-718.932) (-754.913) -- 0:06:00
28000 -- (-745.670) [-712.525] (-710.610) (-742.561) * (-716.704) [-707.635] (-719.563) (-751.474) -- 0:05:47
29000 -- (-749.710) [-713.207] (-720.586) (-741.695) * (-714.387) [-704.461] (-727.905) (-751.981) -- 0:06:08
30000 -- (-750.944) [-718.979] (-711.869) (-737.418) * (-711.149) [-705.556] (-722.335) (-746.652) -- 0:05:55
Average standard deviation of split frequencies: 0.043246
31000 -- (-747.917) [-719.523] (-706.346) (-738.602) * (-733.284) [-703.380] (-716.900) (-745.970) -- 0:05:43
32000 -- (-746.410) [-715.808] (-712.161) (-737.950) * (-724.180) [-707.044] (-711.641) (-743.550) -- 0:06:03
33000 -- (-749.847) [-713.091] (-713.157) (-750.444) * (-712.895) [-708.775] (-706.187) (-750.412) -- 0:05:51
34000 -- (-746.600) [-705.712] (-715.869) (-740.994) * (-728.418) [-710.672] (-714.815) (-741.243) -- 0:05:40
35000 -- (-754.109) [-708.797] (-717.372) (-742.264) * (-723.512) [-713.235] (-721.962) (-746.916) -- 0:05:58
Average standard deviation of split frequencies: 0.041818
36000 -- (-743.911) (-702.236) [-718.905] (-744.036) * (-728.318) [-707.235] (-709.043) (-746.611) -- 0:05:48
37000 -- (-744.940) [-704.658] (-710.465) (-755.697) * (-721.290) [-712.353] (-704.160) (-746.698) -- 0:06:04
38000 -- (-751.833) [-713.995] (-709.926) (-745.162) * (-721.633) [-705.692] (-715.296) (-745.329) -- 0:05:54
39000 -- (-745.422) [-707.123] (-710.055) (-744.388) * (-723.590) [-706.129] (-712.115) (-745.465) -- 0:05:44
40000 -- (-751.063) [-713.340] (-710.961) (-740.929) * (-714.240) [-705.457] (-716.154) (-754.358) -- 0:06:00
Average standard deviation of split frequencies: 0.041520
41000 -- (-749.617) [-708.258] (-706.825) (-752.545) * (-721.460) [-710.845] (-710.156) (-740.830) -- 0:05:50
42000 -- (-753.305) [-712.059] (-717.141) (-744.713) * (-724.162) (-709.456) [-714.921] (-737.561) -- 0:05:42
43000 -- (-752.297) [-712.673] (-710.155) (-750.977) * (-712.622) (-726.059) [-711.745] (-745.929) -- 0:05:56
44000 -- (-751.828) [-715.432] (-715.549) (-751.412) * (-716.982) (-719.441) [-705.968] (-750.319) -- 0:05:47
45000 -- (-752.205) [-723.579] (-721.806) (-751.267) * (-720.219) (-710.809) [-704.566] (-751.305) -- 0:06:00
Average standard deviation of split frequencies: 0.036600
46000 -- (-760.289) [-716.047] (-715.690) (-749.277) * (-723.807) [-716.281] (-707.618) (-756.762) -- 0:05:52
47000 -- (-739.170) [-726.018] (-714.841) (-740.525) * [-708.640] (-726.323) (-704.871) (-757.136) -- 0:05:44
48000 -- (-743.259) [-714.157] (-716.931) (-753.297) * (-724.119) [-723.843] (-708.497) (-744.658) -- 0:05:57
49000 -- (-742.406) [-710.526] (-712.974) (-748.142) * (-709.600) (-720.658) [-710.028] (-745.171) -- 0:05:49
50000 -- (-742.557) [-706.449] (-708.569) (-745.290) * [-717.749] (-756.552) (-713.709) (-753.571) -- 0:05:42
Average standard deviation of split frequencies: 0.036930
51000 -- (-751.554) [-707.431] (-706.897) (-746.875) * (-723.867) (-754.189) [-705.269] (-740.946) -- 0:05:53
52000 -- (-750.875) [-708.102] (-712.423) (-738.092) * (-718.735) (-762.662) [-713.741] (-748.029) -- 0:05:46
53000 -- (-744.833) [-718.276] (-709.615) (-750.353) * (-712.348) (-754.573) [-707.650] (-746.842) -- 0:05:39
54000 -- (-756.271) [-709.578] (-712.948) (-752.890) * [-702.773] (-744.508) (-709.953) (-759.450) -- 0:05:50
55000 -- (-748.322) [-705.575] (-714.823) (-750.558) * (-702.779) (-745.610) [-707.719] (-754.848) -- 0:05:43
Average standard deviation of split frequencies: 0.032673
56000 -- (-752.293) [-706.269] (-733.322) (-765.853) * (-709.172) (-747.616) [-709.977] (-754.650) -- 0:05:54
57000 -- (-748.471) (-717.080) [-714.248] (-745.474) * (-709.845) (-749.330) [-706.284] (-749.854) -- 0:05:47
58000 -- (-770.296) (-709.201) [-714.816] (-746.912) * (-710.619) (-740.180) [-709.901] (-754.738) -- 0:05:41
59000 -- (-749.484) (-712.009) [-716.703] (-761.732) * (-721.855) (-748.242) [-707.144] (-750.821) -- 0:05:50
60000 -- (-764.737) [-703.736] (-720.718) (-738.478) * (-718.521) (-742.101) [-704.934] (-744.396) -- 0:05:44
Average standard deviation of split frequencies: 0.032469
61000 -- (-748.739) (-716.307) [-710.339] (-752.640) * (-719.430) (-751.813) [-703.988] (-746.982) -- 0:05:38
62000 -- (-752.618) [-714.630] (-718.044) (-756.706) * [-720.166] (-747.376) (-713.469) (-755.824) -- 0:05:47
63000 -- (-747.047) (-713.778) [-710.700] (-734.721) * (-715.449) (-745.780) [-704.276] (-754.326) -- 0:05:42
64000 -- (-738.693) (-724.623) [-716.934] (-743.976) * [-717.135] (-752.236) (-706.810) (-745.475) -- 0:05:51
65000 -- (-758.675) (-726.885) [-716.096] (-738.915) * (-714.951) (-738.551) [-714.367] (-759.680) -- 0:05:45
Average standard deviation of split frequencies: 0.031064
66000 -- (-741.804) (-716.806) [-717.346] (-747.502) * (-708.563) (-754.449) [-707.199] (-743.389) -- 0:05:39
67000 -- (-754.785) (-726.975) [-715.996] (-752.355) * (-717.128) (-748.520) [-706.173] (-742.673) -- 0:05:48
68000 -- (-749.849) [-709.235] (-710.959) (-758.769) * (-708.070) (-742.572) [-712.957] (-761.372) -- 0:05:42
69000 -- (-747.456) [-717.810] (-716.842) (-747.712) * [-709.123] (-748.859) (-705.877) (-742.751) -- 0:05:37
70000 -- (-743.341) [-712.817] (-725.296) (-737.946) * (-717.564) (-757.246) [-700.554] (-754.344) -- 0:05:45
Average standard deviation of split frequencies: 0.029685
71000 -- (-744.473) (-709.117) [-712.243] (-735.739) * (-707.934) (-755.921) [-702.629] (-750.058) -- 0:05:40
72000 -- (-747.837) [-712.052] (-716.774) (-744.066) * (-714.456) (-751.359) [-707.459] (-755.154) -- 0:05:48
73000 -- (-748.574) (-709.986) [-712.633] (-751.536) * (-711.865) (-755.581) [-703.709] (-749.233) -- 0:05:42
74000 -- (-750.720) [-708.355] (-712.878) (-748.979) * [-718.400] (-745.968) (-713.260) (-756.553) -- 0:05:37
75000 -- (-763.590) (-706.157) [-719.326] (-746.683) * (-709.202) (-751.953) [-710.884] (-751.221) -- 0:05:45
Average standard deviation of split frequencies: 0.029088
76000 -- (-751.439) [-708.000] (-710.510) (-747.114) * (-714.388) (-743.688) [-709.254] (-743.605) -- 0:05:40
77000 -- (-758.553) (-711.912) [-715.511] (-744.725) * (-717.441) (-748.600) [-706.775] (-748.701) -- 0:05:35
78000 -- (-758.970) [-713.216] (-712.607) (-761.516) * (-705.823) (-747.808) [-725.180] (-748.687) -- 0:05:42
79000 -- (-745.499) [-711.388] (-708.515) (-757.463) * (-704.569) (-742.260) [-713.464] (-749.122) -- 0:05:38
80000 -- (-745.308) (-713.189) [-708.379] (-762.210) * [-708.265] (-742.616) (-714.739) (-759.326) -- 0:05:33
Average standard deviation of split frequencies: 0.029556
81000 -- (-753.829) (-711.902) [-710.387] (-751.848) * [-705.748] (-747.915) (-708.071) (-742.517) -- 0:05:40
82000 -- (-755.828) [-708.860] (-721.345) (-743.880) * (-710.789) (-744.289) [-710.426] (-742.047) -- 0:05:35
83000 -- (-744.131) [-709.944] (-708.350) (-750.770) * (-707.925) (-748.644) [-708.693] (-757.281) -- 0:05:42
84000 -- (-743.258) [-720.827] (-709.908) (-752.350) * (-715.204) (-748.908) [-702.802] (-754.776) -- 0:05:38
85000 -- (-747.595) (-707.574) [-709.404] (-747.829) * (-715.675) (-747.912) [-701.987] (-752.814) -- 0:05:33
Average standard deviation of split frequencies: 0.027221
86000 -- (-743.834) (-719.929) [-722.874] (-736.206) * (-712.361) (-767.794) [-720.813] (-758.112) -- 0:05:40
87000 -- (-757.160) (-706.526) [-712.102] (-744.478) * (-711.220) (-750.886) [-706.770] (-741.779) -- 0:05:35
88000 -- (-743.262) (-718.902) [-711.009] (-741.440) * [-710.608] (-750.784) (-707.148) (-753.265) -- 0:05:31
89000 -- (-743.664) (-712.143) [-706.002] (-744.870) * (-710.421) (-746.929) [-706.337] (-741.398) -- 0:05:37
90000 -- (-741.452) [-711.590] (-711.887) (-747.302) * [-709.065] (-741.498) (-705.838) (-758.031) -- 0:05:33
Average standard deviation of split frequencies: 0.027547
91000 -- (-743.993) (-704.337) [-717.429] (-749.602) * (-710.208) (-749.510) [-705.535] (-751.229) -- 0:05:39
92000 -- (-743.012) [-712.410] (-722.514) (-742.804) * (-708.766) (-742.891) [-715.007] (-740.795) -- 0:05:35
93000 -- (-753.688) (-715.232) [-711.364] (-745.427) * [-702.433] (-743.216) (-718.056) (-743.637) -- 0:05:31
94000 -- (-744.804) [-711.126] (-723.951) (-745.397) * [-703.238] (-757.005) (-709.855) (-745.644) -- 0:05:37
95000 -- (-744.354) [-714.795] (-721.285) (-739.101) * [-707.441] (-757.667) (-713.739) (-754.409) -- 0:05:33
Average standard deviation of split frequencies: 0.026744
96000 -- (-758.032) [-709.938] (-722.991) (-736.260) * [-707.437] (-753.989) (-710.061) (-744.214) -- 0:05:29
97000 -- (-746.787) (-718.705) [-714.773] (-733.691) * [-712.239] (-743.071) (-717.165) (-743.078) -- 0:05:35
98000 -- (-747.108) (-706.468) [-710.262] (-748.599) * [-707.585] (-755.785) (-711.230) (-751.431) -- 0:05:31
99000 -- (-757.230) (-709.644) [-708.092] (-744.939) * [-714.522] (-755.130) (-712.696) (-758.119) -- 0:05:27
100000 -- (-748.871) [-707.605] (-714.908) (-733.697) * [-704.105] (-755.279) (-717.859) (-753.048) -- 0:05:33
Average standard deviation of split frequencies: 0.026995
101000 -- (-754.285) [-701.571] (-715.765) (-754.734) * [-703.177] (-755.492) (-714.116) (-767.146) -- 0:05:29
102000 -- (-749.853) [-707.412] (-718.865) (-751.546) * [-704.441] (-740.234) (-712.625) (-761.721) -- 0:05:34
103000 -- (-743.789) (-710.643) [-715.107] (-745.884) * [-711.125] (-746.333) (-720.053) (-754.037) -- 0:05:30
104000 -- (-744.646) [-714.270] (-715.741) (-747.699) * [-700.005] (-752.198) (-708.523) (-746.766) -- 0:05:27
105000 -- (-751.547) (-710.612) [-711.149] (-738.908) * [-708.017] (-740.730) (-708.533) (-746.212) -- 0:05:32
Average standard deviation of split frequencies: 0.025686
106000 -- (-757.222) [-711.256] (-714.445) (-738.049) * [-702.695] (-748.541) (-714.478) (-751.306) -- 0:05:28
107000 -- (-751.941) [-714.551] (-719.424) (-737.419) * [-707.988] (-743.687) (-719.343) (-747.550) -- 0:05:25
108000 -- (-747.640) [-702.265] (-707.297) (-736.918) * [-710.077] (-741.693) (-716.044) (-754.288) -- 0:05:30
109000 -- (-744.049) [-713.495] (-711.557) (-756.149) * [-710.503] (-737.251) (-717.379) (-757.503) -- 0:05:26
110000 -- (-750.177) (-711.231) [-717.990] (-741.975) * [-709.609] (-756.622) (-707.966) (-764.046) -- 0:05:31
Average standard deviation of split frequencies: 0.025857
111000 -- (-752.961) [-715.888] (-706.683) (-745.206) * (-703.756) (-750.619) [-713.418] (-754.217) -- 0:05:28
112000 -- (-761.184) (-722.061) [-708.754] (-739.275) * [-705.833] (-748.158) (-711.586) (-758.440) -- 0:05:25
113000 -- (-750.311) [-714.782] (-715.279) (-738.767) * [-715.535] (-736.211) (-716.353) (-747.588) -- 0:05:29
114000 -- (-745.948) (-712.662) [-709.140] (-753.667) * [-709.143] (-754.677) (-714.289) (-746.926) -- 0:05:26
115000 -- (-751.991) [-710.779] (-713.528) (-754.961) * (-700.427) (-756.807) [-719.968] (-755.112) -- 0:05:23
Average standard deviation of split frequencies: 0.025738
116000 -- (-745.586) [-713.214] (-717.301) (-748.162) * [-703.755] (-762.273) (-726.866) (-752.778) -- 0:05:27
117000 -- (-755.358) [-710.329] (-716.842) (-740.389) * (-713.919) (-744.980) [-712.685] (-747.209) -- 0:05:24
118000 -- (-743.201) [-705.066] (-721.769) (-741.496) * [-720.155] (-756.675) (-713.979) (-744.732) -- 0:05:21
119000 -- (-742.556) (-716.587) [-705.668] (-743.301) * (-715.643) (-762.093) [-706.427] (-741.190) -- 0:05:25
120000 -- (-753.431) (-718.271) [-721.112] (-747.858) * (-720.358) (-773.853) [-702.584] (-754.721) -- 0:05:22
Average standard deviation of split frequencies: 0.023021
121000 -- (-754.056) [-703.667] (-710.989) (-752.931) * (-720.423) (-749.271) [-709.105] (-765.925) -- 0:05:26
122000 -- (-748.045) [-715.838] (-710.877) (-746.690) * [-703.550] (-756.362) (-709.413) (-753.901) -- 0:05:23
123000 -- (-746.024) [-704.084] (-722.849) (-736.717) * [-715.998] (-750.456) (-703.155) (-756.638) -- 0:05:20
124000 -- (-741.667) (-716.674) [-711.068] (-735.961) * [-714.986] (-755.697) (-717.836) (-747.514) -- 0:05:24
125000 -- (-749.844) (-709.761) [-704.250] (-746.533) * (-714.283) (-755.196) [-706.967] (-741.857) -- 0:05:22
Average standard deviation of split frequencies: 0.022185
126000 -- (-744.750) [-713.335] (-717.853) (-758.747) * [-715.416] (-751.151) (-709.654) (-748.240) -- 0:05:19
127000 -- (-751.017) (-727.098) [-712.251] (-745.704) * [-703.429] (-752.236) (-710.010) (-755.194) -- 0:05:23
128000 -- (-752.897) [-719.314] (-712.885) (-758.390) * [-705.935] (-747.854) (-711.698) (-754.091) -- 0:05:20
129000 -- (-760.854) (-717.261) [-716.890] (-743.449) * [-708.720] (-753.164) (-706.850) (-738.330) -- 0:05:24
130000 -- (-755.660) [-710.958] (-718.308) (-745.091) * (-720.974) (-752.725) [-704.642] (-760.730) -- 0:05:21
Average standard deviation of split frequencies: 0.023517
131000 -- (-747.865) (-709.154) [-705.701] (-752.809) * (-712.331) (-771.216) [-703.293] (-745.617) -- 0:05:18
132000 -- (-743.205) (-702.302) [-704.953] (-739.694) * (-710.634) (-755.303) [-711.869] (-753.370) -- 0:05:22
133000 -- (-752.221) (-706.504) [-708.084] (-754.927) * [-712.914] (-759.908) (-702.775) (-749.243) -- 0:05:19
134000 -- (-756.679) (-712.337) [-708.594] (-751.059) * [-716.832] (-747.436) (-703.828) (-749.586) -- 0:05:16
135000 -- (-747.083) (-718.614) [-708.401] (-738.427) * [-713.695] (-748.175) (-716.516) (-749.447) -- 0:05:20
Average standard deviation of split frequencies: 0.021059
136000 -- (-752.545) (-722.215) [-710.970] (-747.954) * (-710.543) (-741.577) [-702.245] (-751.667) -- 0:05:17
137000 -- (-745.358) (-721.048) [-702.871] (-753.824) * (-713.490) (-747.735) [-706.564] (-754.356) -- 0:05:14
138000 -- (-749.961) (-712.343) [-704.701] (-742.494) * [-704.730] (-744.113) (-716.772) (-748.801) -- 0:05:18
139000 -- (-754.310) (-716.560) [-702.386] (-747.075) * [-708.716] (-750.963) (-714.666) (-746.456) -- 0:05:15
140000 -- (-751.295) (-714.964) [-709.269] (-756.077) * [-711.200] (-738.260) (-712.743) (-745.816) -- 0:05:19
Average standard deviation of split frequencies: 0.020945
141000 -- (-748.651) (-712.961) [-714.036] (-745.624) * [-702.302] (-746.578) (-712.289) (-747.223) -- 0:05:16
142000 -- (-747.386) (-719.468) [-708.527] (-755.593) * [-711.641] (-750.676) (-709.908) (-759.573) -- 0:05:14
143000 -- (-753.535) (-715.662) [-707.875] (-749.743) * [-711.971] (-750.254) (-715.426) (-748.502) -- 0:05:17
144000 -- (-750.081) (-708.676) [-704.082] (-755.840) * [-708.318] (-739.005) (-724.136) (-757.380) -- 0:05:15
145000 -- (-746.394) (-720.670) [-702.219] (-748.186) * [-707.676] (-746.138) (-716.521) (-754.307) -- 0:05:12
Average standard deviation of split frequencies: 0.021200
146000 -- (-745.555) (-715.610) [-711.749] (-738.794) * [-709.287] (-749.479) (-714.056) (-767.539) -- 0:05:15
147000 -- (-743.338) [-710.414] (-709.386) (-745.860) * [-706.928] (-755.875) (-713.070) (-756.065) -- 0:05:13
148000 -- (-749.716) (-720.818) [-705.454] (-740.518) * (-713.311) (-750.685) [-701.252] (-757.018) -- 0:05:10
149000 -- (-751.753) (-710.496) [-716.369] (-748.199) * [-711.377] (-748.819) (-716.877) (-758.668) -- 0:05:14
150000 -- (-750.923) (-706.251) [-706.298] (-749.004) * [-706.896] (-748.007) (-709.567) (-755.681) -- 0:05:11
Average standard deviation of split frequencies: 0.019495
151000 -- (-752.600) (-716.159) [-716.123] (-754.974) * [-704.773] (-739.700) (-711.568) (-754.845) -- 0:05:14
152000 -- (-746.890) (-712.164) [-706.098] (-746.542) * [-713.613] (-742.413) (-709.524) (-758.671) -- 0:05:12
153000 -- (-747.843) (-712.027) [-703.210] (-746.617) * (-715.742) (-751.720) [-712.835] (-767.261) -- 0:05:10
154000 -- (-752.784) (-711.707) [-701.868] (-753.744) * [-704.958] (-744.268) (-715.241) (-752.052) -- 0:05:13
155000 -- (-751.921) (-718.434) [-712.317] (-751.204) * [-706.737] (-746.728) (-705.135) (-741.821) -- 0:05:10
Average standard deviation of split frequencies: 0.019214
156000 -- (-758.305) (-719.620) [-707.124] (-750.945) * [-715.015] (-746.325) (-715.133) (-760.006) -- 0:05:08
157000 -- (-751.813) (-708.023) [-704.036] (-745.576) * [-712.429] (-745.142) (-709.714) (-750.064) -- 0:05:11
158000 -- (-741.516) (-705.650) [-707.051] (-747.125) * [-703.940] (-752.586) (-721.776) (-749.693) -- 0:05:09
159000 -- (-740.133) [-716.579] (-726.616) (-747.876) * (-705.593) (-758.495) [-718.405] (-744.383) -- 0:05:12
160000 -- (-756.177) (-721.131) [-716.752] (-737.938) * [-710.564] (-752.995) (-715.837) (-747.669) -- 0:05:09
Average standard deviation of split frequencies: 0.019241
161000 -- (-748.741) (-720.129) [-719.520] (-748.499) * [-707.031] (-742.116) (-698.911) (-749.575) -- 0:05:07
162000 -- (-746.492) (-720.561) [-714.414] (-750.409) * [-712.158] (-746.874) (-723.336) (-746.097) -- 0:05:10
163000 -- (-744.981) (-717.838) [-705.105] (-756.666) * [-711.137] (-746.648) (-714.508) (-759.164) -- 0:05:08
164000 -- (-752.054) (-715.059) [-712.442] (-763.749) * [-706.373] (-740.875) (-710.916) (-741.502) -- 0:05:05
165000 -- (-751.268) (-722.429) [-709.983] (-747.717) * [-706.737] (-758.161) (-718.412) (-762.206) -- 0:05:08
Average standard deviation of split frequencies: 0.018513
166000 -- (-746.713) [-715.826] (-713.995) (-746.513) * [-714.066] (-753.318) (-710.127) (-754.853) -- 0:05:06
167000 -- (-748.330) (-714.792) [-710.231] (-748.152) * [-702.644] (-749.450) (-714.036) (-755.311) -- 0:05:09
168000 -- (-742.085) (-713.222) [-710.824] (-746.046) * [-709.349] (-758.764) (-718.740) (-745.054) -- 0:05:07
169000 -- (-744.889) (-711.730) [-709.309] (-765.216) * [-709.446] (-748.830) (-724.041) (-746.574) -- 0:05:04
170000 -- (-749.634) [-717.269] (-714.869) (-756.681) * [-704.954] (-746.380) (-710.710) (-745.330) -- 0:05:07
Average standard deviation of split frequencies: 0.019813
171000 -- (-748.049) (-709.976) [-708.795] (-746.868) * [-717.012] (-754.790) (-714.785) (-745.049) -- 0:05:05
172000 -- (-749.124) (-721.384) [-708.868] (-752.913) * (-713.912) (-755.554) [-703.950] (-745.059) -- 0:05:03
173000 -- (-749.242) (-713.505) [-707.964] (-747.246) * [-706.038] (-764.668) (-704.347) (-746.734) -- 0:05:05
174000 -- (-748.568) [-710.920] (-716.771) (-747.488) * (-718.033) (-748.501) [-711.522] (-756.409) -- 0:05:03
175000 -- (-755.275) [-714.239] (-710.360) (-744.066) * [-711.297] (-753.528) (-711.564) (-751.637) -- 0:05:06
Average standard deviation of split frequencies: 0.019642
176000 -- (-749.957) [-709.362] (-708.938) (-744.426) * [-708.798] (-748.085) (-710.185) (-748.783) -- 0:05:04
177000 -- (-748.705) [-713.680] (-707.644) (-748.103) * (-712.846) (-751.917) [-706.336] (-745.311) -- 0:05:02
178000 -- (-742.833) [-714.418] (-716.909) (-744.809) * [-706.830] (-762.162) (-714.106) (-750.718) -- 0:05:04
179000 -- (-746.042) [-713.478] (-714.097) (-748.664) * [-708.974] (-751.591) (-706.147) (-770.367) -- 0:05:02
180000 -- (-742.609) (-708.586) [-704.492] (-751.811) * (-714.816) (-748.957) [-711.404] (-746.715) -- 0:05:00
Average standard deviation of split frequencies: 0.018425
181000 -- (-741.839) [-703.857] (-715.388) (-751.991) * [-719.773] (-751.892) (-711.017) (-747.808) -- 0:05:03
182000 -- (-743.259) [-700.941] (-715.569) (-752.953) * (-710.058) (-745.997) [-710.809] (-755.990) -- 0:05:01
183000 -- (-756.941) [-710.054] (-711.573) (-746.093) * (-704.492) (-751.075) [-707.478] (-749.582) -- 0:05:03
184000 -- (-744.770) [-704.515] (-718.511) (-743.669) * (-725.113) (-752.208) [-714.411] (-748.224) -- 0:05:01
185000 -- (-751.544) (-713.511) [-705.480] (-750.482) * (-715.946) (-743.504) [-707.477] (-751.768) -- 0:04:59
Average standard deviation of split frequencies: 0.017366
186000 -- (-741.331) (-720.385) [-707.609] (-745.801) * [-711.394] (-747.216) (-710.237) (-745.257) -- 0:05:01
187000 -- (-747.062) (-707.538) [-703.180] (-742.874) * [-713.501] (-745.537) (-709.583) (-746.328) -- 0:04:59
188000 -- (-750.547) [-709.232] (-707.793) (-748.022) * (-707.365) (-747.274) [-700.152] (-749.472) -- 0:04:58
189000 -- (-759.512) [-707.176] (-716.947) (-744.233) * [-714.222] (-747.172) (-708.274) (-741.898) -- 0:05:00
190000 -- (-751.464) [-709.461] (-711.082) (-747.566) * [-708.840] (-749.663) (-706.256) (-746.430) -- 0:04:58
Average standard deviation of split frequencies: 0.016941
191000 -- (-750.879) (-712.743) [-716.182] (-743.948) * (-717.762) (-743.245) [-708.805] (-761.919) -- 0:04:56
192000 -- (-749.865) (-714.271) [-712.983] (-741.358) * (-705.637) (-758.986) [-709.620] (-749.338) -- 0:04:58
193000 -- (-741.809) [-712.073] (-706.947) (-748.090) * [-704.801] (-752.264) (-717.539) (-742.232) -- 0:04:56
194000 -- (-748.933) [-714.303] (-709.694) (-746.987) * [-710.635] (-746.477) (-714.237) (-749.099) -- 0:04:59
195000 -- (-751.873) [-713.148] (-715.895) (-742.029) * (-710.479) (-749.088) [-705.810] (-751.269) -- 0:04:57
Average standard deviation of split frequencies: 0.017335
196000 -- (-748.904) [-714.383] (-715.489) (-746.503) * [-712.829] (-740.712) (-714.291) (-756.085) -- 0:04:55
197000 -- (-741.617) [-707.038] (-714.524) (-748.466) * [-710.713] (-743.905) (-713.017) (-757.871) -- 0:04:57
198000 -- (-757.439) (-712.873) [-709.971] (-753.047) * (-715.600) (-746.150) [-709.357] (-745.934) -- 0:04:55
199000 -- (-748.870) [-705.210] (-710.863) (-743.638) * [-713.941] (-760.602) (-710.893) (-736.769) -- 0:04:53
200000 -- (-750.259) (-701.961) [-708.156] (-748.527) * [-709.242] (-748.551) (-713.049) (-747.470) -- 0:04:56
Average standard deviation of split frequencies: 0.017412
201000 -- (-748.137) (-709.197) [-706.808] (-745.512) * (-713.583) (-750.541) [-702.986] (-742.785) -- 0:04:54
202000 -- (-749.243) (-714.256) [-710.450] (-742.101) * (-710.567) (-745.888) [-712.079] (-742.309) -- 0:04:56
203000 -- (-748.491) (-720.344) [-708.440] (-745.824) * [-699.502] (-750.686) (-708.484) (-752.766) -- 0:04:54
204000 -- (-751.966) [-706.984] (-709.732) (-739.875) * (-704.455) (-748.400) [-706.913] (-749.248) -- 0:04:52
205000 -- (-749.580) [-716.063] (-715.975) (-744.399) * [-707.789] (-754.020) (-711.613) (-751.584) -- 0:04:54
Average standard deviation of split frequencies: 0.016958
206000 -- (-757.664) (-717.916) [-716.858] (-754.581) * [-709.856] (-739.326) (-711.375) (-749.392) -- 0:04:52
207000 -- (-747.615) [-711.950] (-717.410) (-751.849) * [-706.547] (-757.279) (-718.894) (-741.679) -- 0:04:51
208000 -- (-747.200) (-711.851) [-713.061] (-753.232) * (-707.172) (-756.481) [-708.685] (-757.434) -- 0:04:53
209000 -- (-748.055) (-702.863) [-703.628] (-744.522) * (-711.190) (-744.990) [-709.542] (-748.096) -- 0:04:51
210000 -- (-734.911) [-705.142] (-717.322) (-746.552) * (-709.476) (-762.027) [-709.529] (-742.806) -- 0:04:53
Average standard deviation of split frequencies: 0.016948
211000 -- (-746.173) [-708.219] (-714.911) (-745.214) * (-713.049) (-753.581) [-701.053] (-752.373) -- 0:04:51
212000 -- (-745.079) [-708.003] (-719.367) (-749.964) * [-706.984] (-748.287) (-708.444) (-757.092) -- 0:04:49
213000 -- (-740.061) (-709.337) [-701.827] (-751.017) * [-707.033] (-747.379) (-707.848) (-765.382) -- 0:04:51
214000 -- (-755.711) (-705.862) [-703.799] (-748.451) * [-705.483] (-747.348) (-714.491) (-752.046) -- 0:04:50
215000 -- (-748.866) [-707.211] (-704.979) (-745.764) * [-708.314] (-747.487) (-705.265) (-748.844) -- 0:04:48
Average standard deviation of split frequencies: 0.017501
216000 -- (-749.722) [-707.232] (-717.480) (-743.571) * [-706.273] (-743.071) (-704.851) (-755.336) -- 0:04:50
217000 -- (-765.918) [-705.643] (-723.241) (-741.170) * [-710.018] (-750.323) (-721.391) (-745.732) -- 0:04:48
218000 -- (-748.059) [-713.530] (-710.204) (-745.109) * (-718.374) (-749.136) [-704.286] (-759.086) -- 0:04:50
219000 -- (-751.928) [-709.377] (-712.450) (-742.175) * (-717.121) (-749.643) [-707.055] (-757.659) -- 0:04:48
220000 -- (-747.576) [-712.368] (-712.682) (-742.454) * [-713.771] (-761.002) (-716.769) (-742.473) -- 0:04:47
Average standard deviation of split frequencies: 0.016965
221000 -- (-744.794) [-708.570] (-708.326) (-746.364) * (-709.168) (-753.837) [-714.352] (-748.620) -- 0:04:49
222000 -- (-745.954) [-710.591] (-713.288) (-748.693) * (-722.037) (-732.887) [-720.742] (-744.861) -- 0:04:47
223000 -- (-760.148) (-716.072) [-706.107] (-739.954) * (-722.061) (-746.428) [-709.787] (-761.722) -- 0:04:45
224000 -- (-757.920) [-702.156] (-713.883) (-748.191) * (-710.643) (-751.607) [-712.794] (-757.622) -- 0:04:47
225000 -- (-753.194) (-705.180) [-713.560] (-750.657) * (-714.704) (-753.233) [-706.008] (-759.039) -- 0:04:45
Average standard deviation of split frequencies: 0.016482
226000 -- (-748.826) [-705.511] (-718.228) (-732.740) * (-712.093) (-766.300) [-702.689] (-755.378) -- 0:04:44
227000 -- (-747.612) [-709.916] (-715.739) (-738.769) * (-721.831) (-750.951) [-700.157] (-748.897) -- 0:04:46
228000 -- (-747.712) (-710.212) [-709.326] (-738.442) * (-719.755) (-750.689) [-705.026] (-759.150) -- 0:04:44
229000 -- (-748.612) [-703.928] (-712.857) (-744.482) * (-713.281) (-746.909) [-705.763] (-741.741) -- 0:04:46
230000 -- (-754.275) [-707.771] (-719.210) (-739.031) * (-708.346) (-745.927) [-703.698] (-743.611) -- 0:04:44
Average standard deviation of split frequencies: 0.015588
231000 -- (-746.162) [-704.974] (-706.362) (-737.360) * [-708.651] (-756.834) (-711.864) (-749.194) -- 0:04:42
232000 -- (-754.690) (-701.878) [-711.779] (-733.753) * [-700.832] (-748.449) (-718.596) (-748.835) -- 0:04:44
233000 -- (-742.553) (-719.977) [-706.352] (-743.173) * [-712.786] (-749.067) (-713.217) (-756.223) -- 0:04:43
234000 -- (-741.928) (-717.746) [-715.894] (-744.462) * (-727.890) (-756.598) [-713.003] (-748.887) -- 0:04:41
235000 -- (-755.406) [-706.138] (-728.870) (-737.426) * (-721.368) (-751.657) [-707.235] (-762.643) -- 0:04:43
Average standard deviation of split frequencies: 0.015079
236000 -- (-761.516) [-704.956] (-716.354) (-757.843) * (-715.459) (-752.671) [-714.152] (-755.915) -- 0:04:41
237000 -- (-743.556) (-704.042) [-714.752] (-745.175) * (-711.012) (-747.985) [-708.847] (-748.295) -- 0:04:43
238000 -- (-748.811) [-705.380] (-713.025) (-745.369) * [-715.639] (-761.147) (-719.677) (-752.461) -- 0:04:41
239000 -- (-748.578) (-713.099) [-707.664] (-752.927) * [-703.655] (-751.717) (-714.616) (-746.790) -- 0:04:40
240000 -- (-747.414) [-707.534] (-713.963) (-758.794) * [-707.926] (-751.956) (-713.538) (-741.449) -- 0:04:41
Average standard deviation of split frequencies: 0.015221
241000 -- (-744.761) (-708.073) [-703.354] (-749.615) * (-715.618) (-759.831) [-717.295] (-745.707) -- 0:04:40
242000 -- (-745.130) [-718.958] (-709.326) (-752.362) * (-713.758) (-752.967) [-713.081] (-750.292) -- 0:04:38
243000 -- (-744.671) [-704.219] (-710.021) (-747.763) * (-715.788) (-745.166) [-704.805] (-748.712) -- 0:04:40
244000 -- (-747.507) (-709.431) [-705.231] (-746.943) * (-713.280) (-741.163) [-709.448] (-748.456) -- 0:04:38
245000 -- (-756.961) (-705.167) [-714.799] (-747.404) * (-720.727) (-753.473) [-705.908] (-772.260) -- 0:04:40
Average standard deviation of split frequencies: 0.014318
246000 -- (-749.808) (-708.332) [-716.291] (-747.415) * (-709.592) (-748.668) [-709.652] (-761.673) -- 0:04:38
247000 -- (-758.115) [-706.946] (-719.307) (-755.145) * [-706.584] (-743.949) (-706.025) (-747.456) -- 0:04:37
248000 -- (-749.934) [-715.643] (-709.071) (-753.933) * [-708.752] (-753.746) (-708.910) (-747.410) -- 0:04:38
249000 -- (-746.618) [-707.897] (-705.919) (-752.273) * (-714.508) (-752.737) [-706.683] (-752.384) -- 0:04:37
250000 -- (-754.550) (-716.744) [-706.125] (-743.312) * (-718.529) (-746.950) [-719.095] (-742.888) -- 0:04:36
Average standard deviation of split frequencies: 0.015189
251000 -- (-744.726) (-716.804) [-704.670] (-740.261) * (-711.379) (-743.563) [-712.728] (-746.641) -- 0:04:37
252000 -- (-743.987) [-711.244] (-719.582) (-747.247) * [-717.731] (-751.348) (-711.840) (-753.998) -- 0:04:36
253000 -- (-748.390) [-710.717] (-717.867) (-742.424) * (-721.677) (-751.405) [-709.617] (-753.262) -- 0:04:37
254000 -- (-744.397) [-710.717] (-722.210) (-756.442) * (-721.073) (-759.173) [-706.969] (-745.789) -- 0:04:36
255000 -- (-745.594) [-716.437] (-709.715) (-745.926) * [-716.012] (-742.427) (-717.220) (-753.670) -- 0:04:34
Average standard deviation of split frequencies: 0.014627
256000 -- (-749.989) (-717.836) [-710.126] (-741.599) * (-706.915) (-742.120) [-717.207] (-753.105) -- 0:04:36
257000 -- (-750.628) [-713.002] (-707.963) (-741.127) * (-720.375) (-746.951) [-710.107] (-742.220) -- 0:04:34
258000 -- (-745.105) [-710.258] (-713.250) (-750.865) * [-711.038] (-743.845) (-709.062) (-742.847) -- 0:04:33
259000 -- (-754.892) [-714.457] (-715.919) (-747.464) * [-706.893] (-753.791) (-709.800) (-755.671) -- 0:04:34
260000 -- (-738.230) [-714.260] (-710.777) (-752.800) * [-706.976] (-745.171) (-706.704) (-749.390) -- 0:04:33
Average standard deviation of split frequencies: 0.015227
261000 -- (-743.475) [-710.907] (-710.931) (-745.806) * [-706.182] (-744.157) (-716.777) (-746.934) -- 0:04:31
262000 -- (-742.422) [-710.553] (-718.624) (-738.379) * (-703.412) (-746.922) [-710.208] (-746.398) -- 0:04:33
263000 -- (-747.401) (-716.052) [-711.052] (-748.471) * (-709.875) (-744.208) [-701.806] (-743.404) -- 0:04:31
264000 -- (-745.219) (-714.359) [-712.301] (-747.326) * (-708.275) (-744.018) [-708.529] (-744.188) -- 0:04:33
265000 -- (-747.379) [-711.049] (-709.932) (-750.086) * (-719.222) (-754.343) [-707.958] (-744.852) -- 0:04:31
Average standard deviation of split frequencies: 0.014637
266000 -- (-743.668) (-715.311) [-711.497] (-753.709) * (-709.148) (-743.863) [-719.425] (-746.104) -- 0:04:30
267000 -- (-757.244) (-720.680) [-709.905] (-740.503) * [-703.411] (-755.674) (-728.733) (-753.243) -- 0:04:31
268000 -- (-752.171) (-710.238) [-704.238] (-745.641) * (-711.663) (-752.500) [-704.360] (-755.419) -- 0:04:30
269000 -- (-746.246) (-717.421) [-713.115] (-734.184) * (-707.009) (-753.062) [-704.211] (-749.896) -- 0:04:29
270000 -- (-744.426) [-709.888] (-702.920) (-750.877) * [-704.922] (-750.036) (-718.871) (-752.416) -- 0:04:30
Average standard deviation of split frequencies: 0.015570
271000 -- (-757.127) (-711.413) [-707.345] (-738.384) * [-710.279] (-749.296) (-706.226) (-746.747) -- 0:04:29
272000 -- (-748.480) (-723.115) [-707.211] (-743.698) * [-712.226] (-751.493) (-717.724) (-747.427) -- 0:04:30
273000 -- (-750.549) (-710.591) [-707.594] (-753.949) * [-712.368] (-744.906) (-706.607) (-743.717) -- 0:04:28
274000 -- (-763.338) [-714.591] (-706.099) (-754.683) * [-700.870] (-747.783) (-722.006) (-744.685) -- 0:04:27
275000 -- (-753.899) (-709.746) [-707.125] (-752.213) * (-708.967) (-751.871) [-707.731] (-750.560) -- 0:04:28
Average standard deviation of split frequencies: 0.014825
276000 -- (-752.368) (-712.806) [-699.043] (-747.314) * [-709.611] (-749.645) (-726.695) (-745.056) -- 0:04:27
277000 -- (-748.526) [-701.455] (-705.184) (-744.424) * [-706.503] (-744.430) (-716.504) (-747.922) -- 0:04:26
278000 -- (-754.228) (-709.703) [-708.123] (-746.584) * [-707.117] (-757.284) (-714.669) (-749.443) -- 0:04:27
279000 -- (-751.383) [-708.116] (-707.622) (-745.058) * (-711.518) (-747.473) [-724.682] (-751.295) -- 0:04:26
280000 -- (-755.708) (-709.562) [-711.518] (-742.908) * [-707.988] (-750.843) (-712.425) (-754.839) -- 0:04:24
Average standard deviation of split frequencies: 0.014579
281000 -- (-754.814) [-706.670] (-713.586) (-747.061) * [-702.901] (-745.495) (-732.396) (-760.521) -- 0:04:26
282000 -- (-756.106) (-712.866) [-718.164] (-752.152) * [-710.671] (-760.859) (-726.538) (-764.754) -- 0:04:24
283000 -- (-748.097) (-709.424) [-706.250] (-745.721) * [-713.720] (-768.309) (-711.868) (-760.284) -- 0:04:26
284000 -- (-749.070) (-718.024) [-704.656] (-751.599) * [-711.138] (-753.125) (-729.885) (-750.851) -- 0:04:24
285000 -- (-744.252) (-716.905) [-705.062] (-743.522) * [-703.452] (-748.570) (-709.137) (-751.508) -- 0:04:23
Average standard deviation of split frequencies: 0.014316
286000 -- (-748.270) [-708.950] (-707.982) (-758.501) * [-710.620] (-752.924) (-712.072) (-752.097) -- 0:04:24
287000 -- (-754.646) [-710.078] (-713.602) (-741.505) * [-710.071] (-743.455) (-717.526) (-744.721) -- 0:04:23
288000 -- (-748.977) (-717.295) [-702.850] (-746.195) * (-713.168) (-757.857) [-708.939] (-742.555) -- 0:04:22
289000 -- (-748.331) (-711.416) [-707.839] (-740.132) * (-723.133) (-744.472) [-713.142] (-756.583) -- 0:04:23
290000 -- (-750.185) (-714.780) [-708.111] (-741.991) * (-724.636) (-747.362) [-704.296] (-743.404) -- 0:04:21
Average standard deviation of split frequencies: 0.014504
291000 -- (-747.606) (-714.123) [-709.272] (-743.105) * (-713.464) (-754.789) [-707.806] (-746.333) -- 0:04:20
292000 -- (-744.673) [-711.208] (-711.877) (-740.660) * (-710.900) (-741.684) [-706.818] (-747.360) -- 0:04:21
293000 -- (-752.457) (-721.472) [-710.282] (-742.365) * (-711.463) (-750.589) [-710.665] (-752.526) -- 0:04:20
294000 -- (-748.097) [-708.900] (-719.939) (-747.306) * [-707.815] (-746.820) (-708.719) (-757.759) -- 0:04:21
295000 -- (-748.924) [-707.611] (-723.233) (-743.421) * [-710.974] (-751.926) (-715.960) (-755.059) -- 0:04:20
Average standard deviation of split frequencies: 0.014489
296000 -- (-739.540) [-712.103] (-713.291) (-745.555) * (-715.778) (-757.316) [-708.612] (-750.539) -- 0:04:19
297000 -- (-753.210) [-708.233] (-718.031) (-737.513) * [-714.196] (-749.882) (-711.913) (-752.167) -- 0:04:20
298000 -- (-761.455) [-710.735] (-714.137) (-744.590) * [-705.487] (-743.797) (-715.440) (-758.904) -- 0:04:19
299000 -- (-746.324) [-705.817] (-725.589) (-743.360) * (-711.475) (-742.302) [-704.852] (-750.442) -- 0:04:17
300000 -- (-750.455) [-709.394] (-708.262) (-750.511) * (-709.031) (-743.203) [-706.777] (-753.117) -- 0:04:19
Average standard deviation of split frequencies: 0.014262
301000 -- (-742.089) [-705.714] (-715.727) (-747.319) * (-708.542) (-742.009) [-711.765] (-740.265) -- 0:04:17
302000 -- (-750.791) [-712.464] (-706.733) (-751.201) * (-724.911) (-749.183) [-714.905] (-747.353) -- 0:04:16
303000 -- (-743.790) [-711.820] (-718.598) (-757.952) * (-730.230) (-743.857) [-711.707] (-740.239) -- 0:04:17
304000 -- (-752.265) [-713.349] (-713.575) (-751.113) * (-714.053) (-740.325) [-708.300] (-754.167) -- 0:04:16
305000 -- (-756.446) [-701.035] (-713.523) (-738.450) * [-710.370] (-755.806) (-715.160) (-761.572) -- 0:04:17
Average standard deviation of split frequencies: 0.014126
306000 -- (-760.308) [-704.226] (-709.488) (-752.290) * [-705.292] (-757.123) (-713.556) (-753.215) -- 0:04:16
307000 -- (-762.741) [-715.908] (-712.042) (-744.925) * (-705.039) (-743.616) [-710.551] (-744.605) -- 0:04:15
308000 -- (-755.016) (-714.521) [-717.517] (-744.326) * [-711.927] (-754.216) (-703.548) (-757.333) -- 0:04:16
309000 -- (-749.435) [-705.992] (-711.374) (-752.058) * (-726.446) (-746.631) [-699.374] (-754.367) -- 0:04:14
310000 -- (-743.941) (-711.392) [-706.812] (-740.627) * (-717.088) (-748.201) [-707.292] (-756.678) -- 0:04:13
Average standard deviation of split frequencies: 0.014162
311000 -- (-746.421) (-711.484) [-709.660] (-747.925) * (-716.622) (-752.987) [-707.448] (-755.174) -- 0:04:14
312000 -- (-743.733) (-703.740) [-706.129] (-738.799) * (-705.656) (-744.324) [-704.751] (-761.018) -- 0:04:13
313000 -- (-741.064) (-708.699) [-706.480] (-745.544) * (-719.311) (-737.633) [-707.661] (-752.826) -- 0:04:14
314000 -- (-751.287) (-715.516) [-701.286] (-742.198) * [-715.916] (-744.681) (-718.025) (-750.095) -- 0:04:13
315000 -- (-748.995) (-705.318) [-701.371] (-744.056) * (-711.844) (-750.745) [-702.632] (-750.415) -- 0:04:12
Average standard deviation of split frequencies: 0.013098
316000 -- (-747.654) (-704.941) [-715.122] (-751.911) * (-708.697) (-750.160) [-707.851] (-744.738) -- 0:04:13
317000 -- (-749.962) (-712.683) [-708.823] (-738.945) * (-711.954) (-753.033) [-706.311] (-747.609) -- 0:04:12
318000 -- (-749.751) (-710.581) [-714.940] (-741.137) * (-713.365) (-742.627) [-707.984] (-742.316) -- 0:04:10
319000 -- (-740.618) (-714.197) [-708.768] (-748.785) * (-706.284) (-738.053) [-713.283] (-741.175) -- 0:04:11
320000 -- (-736.965) [-719.420] (-710.528) (-738.570) * (-708.728) (-742.818) [-713.111] (-744.785) -- 0:04:10
Average standard deviation of split frequencies: 0.013260
321000 -- (-750.465) [-707.117] (-712.652) (-748.740) * (-716.398) (-754.152) [-714.381] (-759.402) -- 0:04:11
322000 -- (-754.894) [-716.790] (-710.577) (-748.290) * [-707.875] (-745.201) (-709.444) (-746.972) -- 0:04:10
323000 -- (-746.395) (-716.470) [-711.823] (-749.846) * (-709.831) (-740.710) [-714.980] (-751.567) -- 0:04:09
324000 -- (-747.660) [-710.659] (-703.497) (-750.565) * [-713.854] (-747.320) (-724.137) (-747.544) -- 0:04:10
325000 -- (-745.180) [-705.651] (-706.444) (-752.877) * [-704.786] (-752.977) (-716.229) (-753.576) -- 0:04:09
Average standard deviation of split frequencies: 0.012929
326000 -- (-745.086) [-709.825] (-703.510) (-754.379) * [-706.825] (-744.533) (-708.760) (-742.829) -- 0:04:08
327000 -- (-751.944) [-702.840] (-716.551) (-740.757) * (-711.498) (-746.534) [-712.538] (-748.449) -- 0:04:09
328000 -- (-763.634) [-713.049] (-718.480) (-735.619) * (-721.487) (-742.280) [-714.587] (-751.534) -- 0:04:07
329000 -- (-750.514) (-709.090) [-710.214] (-737.826) * [-710.676] (-744.452) (-710.150) (-745.740) -- 0:04:08
330000 -- (-749.411) (-708.377) [-718.476] (-747.998) * [-714.849] (-754.710) (-710.307) (-753.053) -- 0:04:07
Average standard deviation of split frequencies: 0.012545
331000 -- (-742.916) [-706.277] (-716.382) (-741.217) * (-711.351) (-746.970) [-707.241] (-752.086) -- 0:04:06
332000 -- (-750.550) (-714.057) [-703.868] (-740.670) * [-718.676] (-739.772) (-712.499) (-749.015) -- 0:04:07
333000 -- (-754.978) [-706.697] (-705.726) (-761.345) * [-716.053] (-756.107) (-707.835) (-753.798) -- 0:04:06
334000 -- (-749.429) [-706.716] (-708.232) (-747.596) * [-705.976] (-745.540) (-718.637) (-760.593) -- 0:04:05
335000 -- (-748.618) [-710.506] (-711.067) (-749.333) * [-709.833] (-757.676) (-714.947) (-742.856) -- 0:04:06
Average standard deviation of split frequencies: 0.012942
336000 -- (-749.920) (-712.715) [-716.417] (-744.331) * [-703.476] (-751.702) (-708.783) (-749.364) -- 0:04:05
337000 -- (-754.357) (-702.640) [-715.705] (-760.083) * [-709.386] (-745.744) (-706.405) (-755.022) -- 0:04:05
338000 -- (-747.098) (-718.193) [-710.206] (-747.712) * (-717.178) (-759.883) [-713.747] (-752.511) -- 0:04:04
339000 -- (-762.240) (-713.719) [-707.119] (-743.336) * [-712.018] (-750.519) (-723.683) (-756.419) -- 0:04:03
340000 -- (-753.576) [-703.823] (-709.992) (-767.577) * [-710.620] (-743.873) (-711.876) (-748.462) -- 0:04:04
Average standard deviation of split frequencies: 0.012758
341000 -- (-744.581) (-709.250) [-714.460] (-736.330) * [-707.303] (-754.565) (-717.462) (-746.287) -- 0:04:03
342000 -- (-756.342) (-709.404) [-710.132] (-748.601) * [-705.652] (-747.947) (-715.168) (-754.695) -- 0:04:02
343000 -- (-757.063) (-712.411) [-711.613] (-736.707) * (-710.545) (-742.168) [-709.130] (-747.652) -- 0:04:03
344000 -- (-747.512) (-708.626) [-709.123] (-745.135) * (-712.452) (-743.318) [-711.582] (-752.971) -- 0:04:02
345000 -- (-746.092) (-708.674) [-712.830] (-742.061) * [-719.320] (-746.242) (-702.775) (-748.160) -- 0:04:01
Average standard deviation of split frequencies: 0.012760
346000 -- (-748.709) [-708.328] (-715.557) (-753.702) * (-710.789) (-751.061) [-704.944] (-747.038) -- 0:04:01
347000 -- (-742.560) (-704.155) [-702.148] (-747.755) * (-712.045) (-749.266) [-706.909] (-740.089) -- 0:04:00
348000 -- (-750.017) (-716.314) [-699.793] (-751.040) * (-707.015) (-764.200) [-712.599] (-752.126) -- 0:04:01
349000 -- (-746.353) (-719.464) [-705.877] (-745.524) * [-715.693] (-743.768) (-710.773) (-746.911) -- 0:04:00
350000 -- (-753.844) [-709.744] (-710.007) (-742.920) * [-706.334] (-745.403) (-704.374) (-744.442) -- 0:03:59
Average standard deviation of split frequencies: 0.012610
351000 -- (-757.163) (-724.997) [-702.954] (-749.734) * [-708.567] (-759.778) (-711.307) (-748.628) -- 0:04:00
352000 -- (-751.788) (-713.645) [-715.506] (-743.455) * [-706.893] (-753.025) (-714.188) (-747.753) -- 0:03:59
353000 -- (-738.771) [-712.812] (-707.614) (-748.178) * [-710.078] (-738.069) (-712.386) (-747.429) -- 0:03:58
354000 -- (-748.233) (-706.815) [-703.722] (-743.701) * [-702.541] (-743.258) (-729.213) (-745.557) -- 0:03:59
355000 -- (-745.688) (-708.013) [-719.446] (-741.170) * [-710.728] (-737.311) (-720.099) (-748.010) -- 0:03:58
Average standard deviation of split frequencies: 0.012411
356000 -- (-755.162) (-707.824) [-711.517] (-757.838) * [-706.528] (-753.277) (-710.891) (-776.312) -- 0:03:58
357000 -- (-743.918) [-705.287] (-710.747) (-747.176) * (-709.438) (-746.755) [-702.832] (-758.343) -- 0:03:57
358000 -- (-754.313) [-709.945] (-717.995) (-749.895) * (-710.795) (-749.414) [-711.207] (-743.587) -- 0:03:56
359000 -- (-749.332) (-710.090) [-704.821] (-746.517) * (-721.846) (-758.660) [-707.383] (-743.806) -- 0:03:57
360000 -- (-749.484) [-707.781] (-718.010) (-746.462) * (-713.024) (-754.699) [-707.469] (-747.744) -- 0:03:56
Average standard deviation of split frequencies: 0.012744
361000 -- (-755.226) [-710.418] (-716.404) (-740.804) * [-711.725] (-745.374) (-715.027) (-757.148) -- 0:03:55
362000 -- (-744.129) [-707.923] (-722.520) (-742.811) * (-713.869) (-746.881) [-716.047] (-751.145) -- 0:03:56
363000 -- (-758.106) [-706.270] (-705.898) (-743.967) * [-711.421] (-747.109) (-709.403) (-752.591) -- 0:03:55
364000 -- (-740.134) [-703.094] (-713.960) (-748.739) * (-713.411) (-748.608) [-705.311] (-748.058) -- 0:03:55
365000 -- (-752.803) (-712.531) [-703.689] (-733.767) * [-711.918] (-744.519) (-706.230) (-749.495) -- 0:03:54
Average standard deviation of split frequencies: 0.012274
366000 -- (-749.008) (-719.837) [-712.169] (-745.146) * [-699.883] (-750.843) (-711.337) (-743.296) -- 0:03:53
367000 -- (-743.590) (-719.927) [-710.361] (-741.153) * [-711.193] (-755.604) (-722.998) (-738.372) -- 0:03:54
368000 -- (-740.655) [-711.933] (-710.343) (-750.568) * [-708.738] (-749.345) (-717.639) (-748.780) -- 0:03:53
369000 -- (-747.081) (-716.653) [-707.857] (-740.993) * (-713.376) (-749.893) [-716.770] (-749.075) -- 0:03:52
370000 -- (-756.178) (-714.614) [-706.635] (-743.657) * (-703.844) (-749.302) [-710.991] (-752.909) -- 0:03:53
Average standard deviation of split frequencies: 0.012668
371000 -- (-761.767) [-709.091] (-705.651) (-736.466) * [-712.061] (-752.474) (-731.025) (-743.117) -- 0:03:52
372000 -- (-750.714) (-707.589) [-707.730] (-741.391) * [-708.504] (-745.582) (-728.113) (-755.294) -- 0:03:52
373000 -- (-743.755) (-725.880) [-715.187] (-737.541) * [-714.933] (-748.351) (-722.168) (-754.168) -- 0:03:51
374000 -- (-758.371) [-716.356] (-707.168) (-743.993) * [-706.825] (-741.370) (-707.491) (-746.489) -- 0:03:50
375000 -- (-753.906) [-707.508] (-702.871) (-740.564) * [-717.070] (-746.234) (-712.177) (-754.896) -- 0:03:51
Average standard deviation of split frequencies: 0.013425
376000 -- (-740.128) [-706.950] (-710.694) (-743.040) * (-709.798) (-754.677) [-721.317] (-750.458) -- 0:03:50
377000 -- (-749.031) [-709.176] (-716.780) (-741.293) * [-712.775] (-757.448) (-717.439) (-752.836) -- 0:03:49
378000 -- (-760.275) [-714.526] (-708.667) (-740.354) * (-712.641) (-741.827) [-712.688] (-751.961) -- 0:03:50
379000 -- (-750.519) [-708.394] (-708.597) (-735.793) * (-716.000) (-753.214) [-705.727] (-754.941) -- 0:03:49
380000 -- (-759.061) (-715.889) [-711.358] (-746.485) * (-721.853) (-744.727) [-705.591] (-748.908) -- 0:03:50
Average standard deviation of split frequencies: 0.012929
381000 -- (-758.834) [-716.280] (-724.854) (-738.872) * (-722.844) (-754.068) [-712.333] (-754.490) -- 0:03:49
382000 -- (-749.261) [-711.151] (-711.161) (-747.488) * (-720.987) (-752.799) [-704.846] (-762.206) -- 0:03:48
383000 -- (-751.311) [-712.292] (-717.854) (-746.699) * (-716.634) (-752.953) [-711.044] (-740.699) -- 0:03:48
384000 -- (-741.505) [-714.263] (-711.566) (-741.879) * (-714.370) (-744.950) [-708.907] (-752.066) -- 0:03:47
385000 -- (-745.975) [-707.553] (-708.872) (-747.811) * (-716.024) (-747.326) [-715.233] (-744.527) -- 0:03:46
Average standard deviation of split frequencies: 0.012847
386000 -- (-775.017) [-709.811] (-721.151) (-740.817) * (-712.259) (-749.538) [-713.541] (-739.096) -- 0:03:47
387000 -- (-752.035) [-710.285] (-711.984) (-748.178) * (-735.584) (-765.057) [-709.552] (-752.068) -- 0:03:46
388000 -- (-760.513) [-725.167] (-715.238) (-747.381) * [-705.942] (-758.543) (-707.907) (-743.417) -- 0:03:45
389000 -- (-753.868) [-709.440] (-726.049) (-745.034) * [-703.733] (-770.225) (-713.729) (-751.991) -- 0:03:46
390000 -- (-751.653) [-714.941] (-721.763) (-738.654) * [-707.537] (-752.689) (-714.509) (-739.265) -- 0:03:45
Average standard deviation of split frequencies: 0.013041
391000 -- (-743.996) [-707.553] (-713.613) (-744.913) * [-707.467] (-749.970) (-710.093) (-742.063) -- 0:03:45
392000 -- (-752.196) [-710.300] (-706.992) (-747.066) * (-713.892) (-752.546) [-708.796] (-747.441) -- 0:03:44
393000 -- (-754.522) [-709.359] (-708.245) (-740.397) * [-718.535] (-759.949) (-705.376) (-744.806) -- 0:03:43
394000 -- (-742.517) [-717.480] (-711.519) (-744.801) * [-711.797] (-746.815) (-704.606) (-748.302) -- 0:03:44
395000 -- (-758.319) [-706.807] (-714.541) (-742.539) * [-703.020] (-747.469) (-706.436) (-747.495) -- 0:03:43
Average standard deviation of split frequencies: 0.012591
396000 -- (-747.888) [-709.217] (-720.569) (-757.517) * [-704.354] (-743.892) (-704.947) (-744.657) -- 0:03:42
397000 -- (-760.432) [-711.317] (-714.782) (-748.220) * (-699.668) (-746.239) [-704.245] (-756.405) -- 0:03:43
398000 -- (-760.101) [-711.554] (-717.047) (-743.850) * [-707.043] (-748.068) (-710.763) (-746.996) -- 0:03:42
399000 -- (-759.997) (-711.909) [-714.343] (-750.897) * (-708.266) (-746.113) [-709.466] (-754.617) -- 0:03:42
400000 -- (-749.702) [-707.691] (-716.937) (-750.751) * (-705.539) (-752.990) [-718.987] (-744.386) -- 0:03:42
Average standard deviation of split frequencies: 0.012873
401000 -- (-748.528) [-719.665] (-705.444) (-745.417) * [-708.732] (-742.801) (-702.482) (-741.247) -- 0:03:41
402000 -- (-748.999) [-705.691] (-713.105) (-747.935) * (-707.138) (-743.473) [-701.595] (-751.048) -- 0:03:41
403000 -- (-755.148) [-705.873] (-717.362) (-733.252) * (-711.673) (-740.001) [-705.961] (-751.607) -- 0:03:40
404000 -- (-752.242) [-709.191] (-718.300) (-747.471) * (-716.854) (-749.502) [-713.279] (-746.959) -- 0:03:39
405000 -- (-755.931) [-707.874] (-706.468) (-748.129) * (-704.840) (-750.210) [-708.260] (-748.196) -- 0:03:40
Average standard deviation of split frequencies: 0.012638
406000 -- (-751.075) [-704.006] (-704.273) (-755.013) * [-715.496] (-751.544) (-716.981) (-751.660) -- 0:03:39
407000 -- (-753.534) [-706.822] (-717.893) (-751.276) * (-720.949) (-747.852) [-710.345] (-746.259) -- 0:03:40
408000 -- (-745.258) [-706.263] (-715.774) (-747.508) * (-724.591) (-745.223) [-721.826] (-737.100) -- 0:03:39
409000 -- (-749.028) [-700.827] (-708.140) (-756.293) * (-710.706) (-737.416) [-713.418] (-739.529) -- 0:03:38
410000 -- (-751.655) [-702.547] (-714.547) (-749.450) * (-714.816) (-744.897) [-713.703] (-748.194) -- 0:03:38
Average standard deviation of split frequencies: 0.012781
411000 -- (-760.572) [-707.901] (-714.253) (-751.463) * [-715.764] (-755.536) (-713.395) (-744.707) -- 0:03:37
412000 -- (-758.824) [-710.615] (-716.841) (-745.208) * (-714.159) (-749.845) [-712.566] (-742.301) -- 0:03:36
413000 -- (-755.135) [-708.588] (-722.989) (-750.549) * (-709.530) (-749.998) [-709.501] (-748.879) -- 0:03:37
414000 -- (-762.785) [-705.719] (-704.953) (-752.216) * [-715.647] (-746.729) (-716.091) (-744.834) -- 0:03:36
415000 -- (-754.603) [-708.103] (-720.479) (-754.351) * (-709.942) (-760.663) [-708.965] (-746.798) -- 0:03:37
Average standard deviation of split frequencies: 0.013053
416000 -- (-742.595) [-707.233] (-714.424) (-753.435) * (-711.509) (-752.033) [-707.948] (-750.829) -- 0:03:36
417000 -- (-743.999) [-709.810] (-709.362) (-747.131) * (-715.508) (-745.751) [-701.684] (-736.140) -- 0:03:35
418000 -- (-753.754) (-712.254) [-710.531] (-750.825) * (-717.486) (-749.885) [-701.852] (-749.477) -- 0:03:35
419000 -- (-749.341) (-716.345) [-699.629] (-749.959) * (-721.644) (-751.766) [-715.511] (-751.044) -- 0:03:34
420000 -- (-741.827) (-714.613) [-706.560] (-745.434) * (-721.359) (-753.343) [-709.702] (-759.935) -- 0:03:34
Average standard deviation of split frequencies: 0.012700
421000 -- (-748.824) (-717.271) [-701.213] (-749.200) * (-715.878) (-752.945) [-706.255] (-756.501) -- 0:03:34
422000 -- (-741.481) (-721.408) [-707.510] (-745.321) * (-706.615) (-746.536) [-712.110] (-753.939) -- 0:03:33
423000 -- (-753.274) [-710.360] (-714.542) (-740.558) * (-710.418) (-743.833) [-706.637] (-743.472) -- 0:03:34
424000 -- (-754.361) [-726.086] (-719.539) (-752.173) * (-713.086) (-745.471) [-707.367] (-748.635) -- 0:03:33
425000 -- (-753.320) (-720.236) [-710.344] (-743.383) * [-704.551] (-742.092) (-708.837) (-743.847) -- 0:03:32
Average standard deviation of split frequencies: 0.012086
426000 -- (-745.837) [-716.591] (-712.035) (-750.279) * (-709.876) (-746.203) [-708.885] (-749.577) -- 0:03:32
427000 -- (-754.242) (-714.288) [-705.669] (-747.239) * (-707.621) (-745.641) [-710.817] (-760.782) -- 0:03:32
428000 -- (-746.423) (-710.617) [-704.735] (-754.933) * [-710.348] (-741.151) (-703.015) (-749.513) -- 0:03:31
429000 -- (-759.399) [-709.387] (-708.579) (-747.518) * (-720.841) (-749.978) [-703.101] (-736.232) -- 0:03:31
430000 -- (-746.923) (-708.517) [-701.049] (-739.263) * [-704.601] (-760.037) (-717.013) (-750.948) -- 0:03:30
Average standard deviation of split frequencies: 0.011493
431000 -- (-751.006) (-710.217) [-712.345] (-739.633) * [-715.055] (-745.122) (-718.784) (-749.072) -- 0:03:29
432000 -- (-743.904) (-711.702) [-715.865] (-738.119) * (-709.987) (-743.112) [-711.333] (-744.285) -- 0:03:30
433000 -- (-749.154) [-707.373] (-704.131) (-741.570) * [-706.949] (-750.082) (-712.911) (-752.767) -- 0:03:29
434000 -- (-748.630) [-703.222] (-708.770) (-745.337) * (-710.745) (-745.793) [-707.831] (-752.167) -- 0:03:29
435000 -- (-742.344) (-704.212) [-710.885] (-743.821) * (-713.332) (-747.169) [-710.569] (-757.747) -- 0:03:29
Average standard deviation of split frequencies: 0.011623
436000 -- (-752.782) [-706.203] (-724.053) (-745.071) * (-715.114) (-744.380) [-705.462] (-750.865) -- 0:03:28
437000 -- (-747.782) (-714.444) [-703.431] (-739.558) * (-718.077) (-750.060) [-710.983] (-757.611) -- 0:03:28
438000 -- (-740.611) [-720.047] (-715.863) (-747.416) * (-711.249) (-755.595) [-707.223] (-748.878) -- 0:03:27
439000 -- (-745.986) [-716.730] (-705.602) (-760.480) * (-716.821) (-752.748) [-703.826] (-753.549) -- 0:03:27
440000 -- (-744.977) [-721.319] (-712.357) (-759.712) * [-706.838] (-747.430) (-705.098) (-750.479) -- 0:03:27
Average standard deviation of split frequencies: 0.011171
441000 -- (-758.449) [-708.498] (-715.536) (-737.264) * [-713.042] (-746.615) (-707.986) (-746.057) -- 0:03:26
442000 -- (-766.677) (-711.573) [-703.865] (-742.955) * (-708.414) (-763.649) [-708.539] (-752.678) -- 0:03:25
443000 -- (-756.322) [-711.736] (-707.409) (-735.326) * (-714.429) (-758.502) [-705.984] (-752.640) -- 0:03:26
444000 -- (-754.352) [-716.604] (-720.731) (-737.423) * (-713.684) (-757.402) [-702.846] (-748.208) -- 0:03:25
445000 -- (-755.467) (-708.640) [-706.270] (-744.407) * (-717.520) (-744.099) [-711.337] (-742.288) -- 0:03:25
Average standard deviation of split frequencies: 0.011362
446000 -- (-758.527) [-708.083] (-724.664) (-740.882) * (-709.379) (-738.921) [-702.095] (-744.166) -- 0:03:24
447000 -- (-756.089) [-711.769] (-704.630) (-742.183) * (-712.807) (-743.711) [-702.651] (-774.711) -- 0:03:24
448000 -- (-750.778) [-715.708] (-726.311) (-742.586) * [-705.681] (-743.387) (-721.773) (-752.161) -- 0:03:24
449000 -- (-741.172) [-711.135] (-714.931) (-743.883) * (-720.033) (-747.403) [-704.666] (-746.956) -- 0:03:23
450000 -- (-743.459) (-721.753) [-713.216] (-741.084) * (-712.850) (-745.576) [-716.181] (-744.782) -- 0:03:22
Average standard deviation of split frequencies: 0.011305
451000 -- (-742.477) [-709.326] (-715.158) (-750.288) * [-708.347] (-751.350) (-723.869) (-743.069) -- 0:03:23
452000 -- (-746.328) (-703.526) [-714.702] (-740.146) * (-719.947) (-751.296) [-706.665] (-746.032) -- 0:03:22
453000 -- (-753.250) (-715.778) [-719.483] (-753.066) * (-729.265) (-751.300) [-709.644] (-745.085) -- 0:03:22
454000 -- (-753.940) [-707.356] (-722.420) (-739.809) * (-714.882) (-751.042) [-713.640] (-755.733) -- 0:03:22
455000 -- (-746.848) [-709.846] (-717.203) (-746.113) * (-718.770) (-744.379) [-712.373] (-745.117) -- 0:03:21
Average standard deviation of split frequencies: 0.011014
456000 -- (-741.942) [-713.739] (-709.408) (-745.118) * (-720.973) (-743.957) [-719.262] (-745.783) -- 0:03:21
457000 -- (-742.921) (-709.196) [-719.067] (-737.804) * (-711.221) (-745.978) [-712.641] (-753.302) -- 0:03:20
458000 -- (-751.040) (-705.252) [-716.872] (-746.774) * (-715.799) (-752.203) [-712.548] (-742.876) -- 0:03:19
459000 -- (-756.169) [-707.936] (-705.846) (-747.046) * (-713.789) (-755.980) [-706.228] (-752.474) -- 0:03:20
460000 -- (-746.314) [-706.003] (-724.821) (-744.409) * (-721.743) (-753.226) [-703.845] (-752.514) -- 0:03:19
Average standard deviation of split frequencies: 0.010863
461000 -- (-757.813) (-712.981) [-707.973] (-738.789) * (-724.299) (-747.401) [-707.200] (-748.515) -- 0:03:18
462000 -- (-739.579) (-728.827) [-705.220] (-748.958) * (-714.569) (-744.287) [-707.901] (-749.983) -- 0:03:19
463000 -- (-740.762) [-714.240] (-710.189) (-757.756) * [-713.493] (-747.037) (-717.741) (-751.045) -- 0:03:18
464000 -- (-752.158) (-707.578) [-705.184] (-738.814) * (-706.915) (-742.989) [-702.634] (-757.688) -- 0:03:18
465000 -- (-754.610) (-715.556) [-702.317] (-757.217) * (-709.527) (-747.064) [-720.517] (-752.446) -- 0:03:17
Average standard deviation of split frequencies: 0.010975
466000 -- (-763.269) [-709.024] (-728.304) (-744.016) * (-707.030) (-758.271) [-703.472] (-759.415) -- 0:03:17
467000 -- (-757.697) [-713.977] (-710.968) (-736.329) * (-708.993) (-752.988) [-713.486] (-759.221) -- 0:03:17
468000 -- (-769.554) [-706.222] (-718.617) (-740.262) * (-719.873) (-738.742) [-704.741] (-751.331) -- 0:03:16
469000 -- (-750.519) [-719.592] (-714.642) (-737.081) * (-726.716) (-749.701) [-712.083] (-748.913) -- 0:03:15
470000 -- (-754.821) (-708.701) [-703.861] (-751.831) * [-705.336] (-747.535) (-711.650) (-754.229) -- 0:03:16
Average standard deviation of split frequencies: 0.010925
471000 -- (-757.448) [-712.004] (-711.237) (-748.631) * (-710.508) (-746.082) [-705.727] (-762.486) -- 0:03:15
472000 -- (-755.189) [-717.028] (-704.982) (-741.133) * (-702.535) (-744.095) [-710.528] (-758.759) -- 0:03:15
473000 -- (-741.507) (-710.387) [-710.524] (-756.027) * (-714.278) (-753.224) [-709.691] (-751.156) -- 0:03:14
474000 -- (-752.748) [-710.370] (-705.213) (-745.072) * (-712.180) (-756.183) [-710.784] (-754.880) -- 0:03:14
475000 -- (-744.496) [-706.933] (-708.438) (-751.954) * (-713.442) (-770.875) [-708.963] (-762.869) -- 0:03:14
Average standard deviation of split frequencies: 0.011077
476000 -- (-758.268) (-714.939) [-709.895] (-747.859) * (-711.826) (-757.073) [-718.338] (-749.806) -- 0:03:13
477000 -- (-743.003) (-708.739) [-705.809] (-748.285) * (-720.091) (-745.416) [-703.800] (-748.748) -- 0:03:12
478000 -- (-745.199) (-713.813) [-722.686] (-748.083) * (-714.888) (-755.179) [-713.026] (-750.908) -- 0:03:13
479000 -- (-744.841) (-721.735) [-713.050] (-751.440) * (-709.059) (-743.398) [-706.352] (-745.962) -- 0:03:12
480000 -- (-747.782) [-710.355] (-711.354) (-747.622) * (-715.458) (-747.767) [-709.898] (-755.704) -- 0:03:12
Average standard deviation of split frequencies: 0.011158
481000 -- (-744.144) [-704.204] (-719.445) (-746.408) * (-711.538) (-747.610) [-702.561] (-752.186) -- 0:03:12
482000 -- (-748.407) (-703.267) [-710.624] (-740.402) * (-705.719) (-753.329) [-702.562] (-754.175) -- 0:03:11
483000 -- (-740.574) [-709.299] (-715.217) (-748.341) * (-708.078) (-743.927) [-706.262] (-756.078) -- 0:03:11
484000 -- (-751.621) [-709.220] (-713.778) (-747.670) * (-703.335) (-744.597) [-707.356] (-749.996) -- 0:03:10
485000 -- (-754.256) (-713.793) [-716.676] (-749.468) * (-715.007) (-743.675) [-704.780] (-735.197) -- 0:03:10
Average standard deviation of split frequencies: 0.010596
486000 -- (-748.417) (-716.565) [-712.184] (-752.118) * [-709.510] (-748.124) (-709.498) (-747.786) -- 0:03:10
487000 -- (-745.231) (-708.232) [-716.623] (-758.791) * [-705.324] (-756.475) (-715.657) (-750.051) -- 0:03:09
488000 -- (-750.755) (-718.963) [-706.325] (-749.764) * [-714.031] (-749.881) (-711.239) (-752.021) -- 0:03:09
489000 -- (-756.301) (-710.080) [-707.161] (-743.463) * (-713.938) (-749.703) [-707.412] (-755.420) -- 0:03:09
490000 -- (-742.605) (-706.529) [-703.025] (-737.485) * (-715.847) (-746.936) [-710.777] (-748.919) -- 0:03:08
Average standard deviation of split frequencies: 0.010236
491000 -- (-751.674) (-719.114) [-713.833] (-749.932) * (-704.321) (-746.585) [-705.616] (-746.429) -- 0:03:08
492000 -- (-747.234) (-719.699) [-713.713] (-744.884) * (-721.019) (-741.395) [-710.240] (-748.496) -- 0:03:07
493000 -- (-743.126) (-716.351) [-707.754] (-748.330) * [-706.059] (-754.463) (-721.858) (-748.757) -- 0:03:07
494000 -- (-750.096) (-710.719) [-711.192] (-756.307) * [-704.407] (-743.065) (-720.729) (-748.852) -- 0:03:07
495000 -- (-753.000) (-712.739) [-710.348] (-751.603) * [-712.203] (-743.141) (-709.605) (-747.958) -- 0:03:06
Average standard deviation of split frequencies: 0.010016
496000 -- (-743.384) (-705.268) [-710.795] (-749.346) * (-711.988) (-741.861) [-711.431] (-745.331) -- 0:03:05
497000 -- (-755.655) (-712.376) [-714.361] (-756.008) * [-708.600] (-756.379) (-720.210) (-749.583) -- 0:03:06
498000 -- (-752.291) (-722.168) [-704.466] (-741.308) * [-715.257] (-747.303) (-710.475) (-741.859) -- 0:03:05
499000 -- (-744.648) (-722.087) [-711.059] (-747.353) * (-708.217) (-747.776) [-705.293] (-747.973) -- 0:03:05
500000 -- (-741.356) (-714.923) [-713.212] (-748.194) * (-714.893) (-759.133) [-711.976] (-749.374) -- 0:03:05
Average standard deviation of split frequencies: 0.009977
501000 -- (-750.668) (-726.232) [-704.954] (-750.591) * (-709.402) (-744.069) [-705.228] (-749.803) -- 0:03:04
502000 -- (-752.137) [-709.135] (-706.942) (-739.305) * (-720.502) (-758.307) [-709.410] (-754.829) -- 0:03:04
503000 -- (-749.028) (-705.687) [-710.817] (-748.130) * [-709.183] (-750.792) (-709.031) (-739.364) -- 0:03:03
504000 -- (-751.474) (-710.977) [-706.107] (-746.152) * (-711.545) (-745.466) [-700.317] (-752.972) -- 0:03:03
505000 -- (-747.850) (-713.460) [-705.409] (-742.495) * (-712.444) (-751.121) [-713.415] (-745.249) -- 0:03:03
Average standard deviation of split frequencies: 0.009633
506000 -- (-756.444) (-707.617) [-718.513] (-755.704) * (-727.610) (-745.313) [-715.619] (-742.847) -- 0:03:02
507000 -- (-756.581) (-709.231) [-713.393] (-745.781) * (-721.406) (-751.280) [-708.806] (-751.910) -- 0:03:02
508000 -- (-751.935) [-705.753] (-715.803) (-743.722) * (-713.687) (-746.788) [-702.644] (-756.907) -- 0:03:02
509000 -- (-759.093) [-705.685] (-707.579) (-739.743) * (-714.389) (-738.425) [-718.249] (-741.939) -- 0:03:01
510000 -- (-758.395) [-707.023] (-716.909) (-745.385) * (-709.286) (-743.570) [-716.179] (-755.246) -- 0:03:01
Average standard deviation of split frequencies: 0.009231
511000 -- (-754.261) (-714.600) [-707.783] (-741.489) * (-712.433) (-746.916) [-711.490] (-746.524) -- 0:03:00
512000 -- (-760.341) (-717.493) [-716.812] (-753.706) * (-711.743) (-757.653) [-713.578] (-749.605) -- 0:03:01
513000 -- (-744.938) (-728.228) [-704.401] (-746.286) * [-715.640] (-746.118) (-716.996) (-756.661) -- 0:03:00
514000 -- (-750.886) (-710.684) [-708.459] (-754.008) * (-710.299) (-748.739) [-716.669] (-745.182) -- 0:02:59
515000 -- (-743.329) (-712.769) [-706.698] (-735.607) * (-713.137) (-752.731) [-713.132] (-747.923) -- 0:02:59
Average standard deviation of split frequencies: 0.009315
516000 -- (-745.501) (-706.719) [-704.880] (-741.642) * (-710.957) (-735.296) [-707.866] (-746.768) -- 0:02:59
517000 -- (-754.396) [-710.695] (-714.548) (-740.878) * (-719.967) (-745.811) [-709.221] (-741.529) -- 0:02:58
518000 -- (-747.809) (-716.966) [-714.292] (-754.788) * (-720.780) (-746.307) [-705.587] (-743.699) -- 0:02:58
519000 -- (-756.333) (-724.016) [-704.928] (-743.844) * [-702.932] (-743.520) (-715.655) (-753.622) -- 0:02:57
520000 -- (-756.345) (-709.956) [-702.176] (-748.585) * (-717.610) (-745.740) [-713.185] (-743.314) -- 0:02:57
Average standard deviation of split frequencies: 0.009332
521000 -- (-741.491) (-713.566) [-710.301] (-736.828) * (-722.030) (-741.953) [-708.038] (-738.539) -- 0:02:57
522000 -- (-757.663) (-716.640) [-711.482] (-750.400) * (-707.069) (-748.777) [-708.791] (-752.281) -- 0:02:56
523000 -- (-743.411) (-714.247) [-708.543] (-748.801) * (-709.003) (-747.807) [-708.106] (-740.944) -- 0:02:56
524000 -- (-745.118) (-720.108) [-702.241] (-749.909) * (-710.479) (-746.642) [-706.113] (-748.103) -- 0:02:56
525000 -- (-748.247) (-714.333) [-715.331] (-741.030) * [-707.214] (-742.307) (-713.440) (-754.561) -- 0:02:55
Average standard deviation of split frequencies: 0.009419
526000 -- (-742.204) (-720.331) [-703.734] (-747.991) * [-715.758] (-752.351) (-714.885) (-750.483) -- 0:02:55
527000 -- (-750.658) [-712.737] (-719.020) (-746.421) * [-707.085] (-743.406) (-711.673) (-743.553) -- 0:02:55
528000 -- (-749.581) (-705.896) [-717.979] (-752.538) * [-703.937] (-751.216) (-708.276) (-745.345) -- 0:02:54
529000 -- (-743.320) (-707.604) [-702.682] (-745.396) * [-710.428] (-750.014) (-708.229) (-747.107) -- 0:02:54
530000 -- (-747.734) (-713.553) [-703.377] (-750.954) * (-719.951) (-747.137) [-712.378] (-739.466) -- 0:02:53
Average standard deviation of split frequencies: 0.009737
531000 -- (-748.124) (-717.189) [-712.133] (-742.296) * [-703.170] (-755.569) (-708.553) (-742.452) -- 0:02:53
532000 -- (-756.736) [-713.844] (-709.184) (-748.475) * [-709.314] (-746.749) (-708.493) (-760.820) -- 0:02:53
533000 -- (-744.495) (-710.218) [-713.385] (-742.242) * (-702.967) (-746.048) [-711.842] (-761.147) -- 0:02:52
534000 -- (-751.275) (-719.365) [-704.090] (-739.613) * (-716.515) (-747.395) [-706.864] (-745.315) -- 0:02:52
535000 -- (-751.063) (-705.324) [-709.556] (-745.343) * (-706.656) (-751.484) [-718.573] (-752.156) -- 0:02:52
Average standard deviation of split frequencies: 0.009459
536000 -- (-768.165) (-710.920) [-705.680] (-749.285) * (-721.346) (-753.144) [-713.251] (-746.024) -- 0:02:51
537000 -- (-747.486) (-708.523) [-707.231] (-754.047) * (-709.909) (-751.518) [-708.367] (-749.645) -- 0:02:51
538000 -- (-750.540) (-705.861) [-706.374] (-747.722) * (-705.984) (-742.093) [-709.828] (-746.960) -- 0:02:50
539000 -- (-753.269) [-703.883] (-716.637) (-742.390) * (-701.716) (-759.273) [-710.112] (-751.882) -- 0:02:51
540000 -- (-745.834) (-705.883) [-710.346] (-746.872) * (-716.467) (-749.143) [-711.828] (-746.848) -- 0:02:50
Average standard deviation of split frequencies: 0.009608
541000 -- (-748.768) (-711.334) [-717.525] (-745.459) * (-705.598) (-741.967) [-712.053] (-752.364) -- 0:02:49
542000 -- (-747.017) (-716.846) [-710.972] (-755.085) * [-707.529] (-752.330) (-702.407) (-742.861) -- 0:02:49
543000 -- (-738.871) (-711.318) [-704.249] (-752.856) * [-706.878] (-740.501) (-712.481) (-751.763) -- 0:02:49
544000 -- (-740.120) (-715.812) [-707.001] (-755.418) * [-714.524] (-740.782) (-709.544) (-742.585) -- 0:02:48
545000 -- (-747.361) (-708.996) [-718.729] (-761.495) * [-706.798] (-748.087) (-705.721) (-744.997) -- 0:02:48
Average standard deviation of split frequencies: 0.009417
546000 -- (-738.542) [-710.606] (-713.624) (-745.303) * [-708.514] (-746.312) (-711.548) (-743.227) -- 0:02:47
547000 -- (-747.778) [-707.698] (-714.298) (-745.575) * (-717.792) (-740.004) [-703.583] (-753.837) -- 0:02:48
548000 -- (-762.503) (-704.614) [-706.937] (-754.433) * (-715.482) (-739.889) [-702.200] (-748.548) -- 0:02:47
549000 -- (-752.716) [-708.092] (-708.220) (-746.930) * (-713.915) (-750.994) [-703.137] (-752.540) -- 0:02:46
550000 -- (-749.346) [-712.951] (-713.262) (-749.408) * (-708.999) (-749.009) [-706.252] (-751.782) -- 0:02:46
Average standard deviation of split frequencies: 0.009252
551000 -- (-761.730) [-712.449] (-711.187) (-741.531) * [-708.614] (-748.184) (-704.338) (-746.676) -- 0:02:46
552000 -- (-753.296) (-710.216) [-709.039] (-750.553) * [-711.323] (-741.754) (-713.369) (-750.572) -- 0:02:45
553000 -- (-744.302) [-706.437] (-711.566) (-757.332) * (-726.679) (-747.441) [-715.343] (-747.440) -- 0:02:45
554000 -- (-741.577) (-715.851) [-712.554] (-755.275) * (-706.499) (-748.416) [-711.693] (-747.484) -- 0:02:45
555000 -- (-750.940) (-716.530) [-710.627] (-753.098) * (-706.269) (-753.042) [-715.651] (-749.058) -- 0:02:44
Average standard deviation of split frequencies: 0.009392
556000 -- (-745.934) (-714.452) [-712.978] (-742.419) * (-714.547) (-746.538) [-715.554] (-749.788) -- 0:02:44
557000 -- (-750.588) (-710.936) [-711.114] (-752.766) * (-714.285) (-754.269) [-714.234] (-760.453) -- 0:02:43
558000 -- (-741.535) (-713.208) [-711.474] (-755.706) * (-708.663) (-752.656) [-711.270] (-747.836) -- 0:02:43
559000 -- (-760.479) (-717.260) [-703.409] (-745.585) * (-709.099) (-745.884) [-703.439] (-749.945) -- 0:02:43
560000 -- (-761.409) (-713.390) [-702.180] (-751.907) * (-708.574) (-741.162) [-703.049] (-753.058) -- 0:02:42
Average standard deviation of split frequencies: 0.009572
561000 -- (-751.830) (-720.218) [-711.934] (-740.039) * (-706.010) (-749.381) [-707.965] (-757.965) -- 0:02:42
562000 -- (-758.855) [-702.060] (-706.712) (-753.344) * [-709.411] (-751.257) (-710.253) (-747.290) -- 0:02:42
563000 -- (-767.694) (-714.572) [-705.418] (-753.536) * (-708.316) (-749.240) [-716.181] (-757.153) -- 0:02:41
564000 -- (-748.482) [-711.049] (-708.768) (-742.666) * [-706.309] (-747.944) (-709.068) (-753.429) -- 0:02:41
565000 -- (-752.561) (-712.179) [-705.479] (-742.006) * [-708.091] (-755.464) (-706.184) (-765.679) -- 0:02:40
Average standard deviation of split frequencies: 0.009382
566000 -- (-752.009) (-721.670) [-712.631] (-736.233) * (-711.524) (-746.089) [-708.038] (-751.216) -- 0:02:41
567000 -- (-745.402) (-715.702) [-711.229] (-745.639) * (-708.294) (-744.953) [-701.834] (-745.557) -- 0:02:40
568000 -- (-750.251) [-711.709] (-712.722) (-742.251) * (-709.314) (-745.795) [-709.260] (-751.675) -- 0:02:39
569000 -- (-748.628) (-718.356) [-701.672] (-740.977) * [-710.107] (-749.077) (-705.760) (-751.722) -- 0:02:39
570000 -- (-744.722) (-711.916) [-707.107] (-739.720) * (-706.702) (-752.571) [-715.705] (-750.662) -- 0:02:39
Average standard deviation of split frequencies: 0.009461
571000 -- (-746.404) [-716.305] (-707.182) (-742.786) * (-717.930) (-750.991) [-712.859] (-748.207) -- 0:02:38
572000 -- (-755.053) [-710.193] (-710.664) (-739.450) * [-706.885] (-759.005) (-708.299) (-756.323) -- 0:02:38
573000 -- (-745.556) [-706.476] (-709.600) (-745.056) * (-708.057) (-754.550) [-705.704] (-752.976) -- 0:02:37
574000 -- (-754.284) [-710.423] (-705.206) (-744.307) * (-709.785) (-758.274) [-708.442] (-750.484) -- 0:02:38
575000 -- (-745.414) [-712.129] (-712.761) (-747.778) * (-709.746) (-753.680) [-708.081] (-745.210) -- 0:02:37
Average standard deviation of split frequencies: 0.009605
576000 -- (-745.148) [-705.157] (-709.055) (-745.851) * (-716.541) (-745.481) [-711.589] (-750.680) -- 0:02:36
577000 -- (-751.503) [-707.198] (-715.048) (-755.423) * [-716.048] (-741.187) (-703.066) (-747.829) -- 0:02:36
578000 -- (-744.726) [-705.562] (-702.108) (-748.596) * (-715.909) (-751.744) [-712.743] (-754.340) -- 0:02:36
579000 -- (-751.222) [-705.551] (-708.669) (-749.618) * (-715.152) (-755.050) [-702.384] (-769.290) -- 0:02:35
580000 -- (-758.214) (-706.712) [-709.443] (-741.202) * (-711.736) (-750.373) [-714.722] (-746.135) -- 0:02:35
Average standard deviation of split frequencies: 0.009742
581000 -- (-749.605) [-712.786] (-720.472) (-752.934) * [-701.430] (-755.929) (-711.991) (-747.476) -- 0:02:35
582000 -- (-748.397) (-705.967) [-712.635] (-753.315) * (-704.939) (-752.225) [-703.597] (-757.929) -- 0:02:34
583000 -- (-750.373) [-703.519] (-719.646) (-742.288) * (-701.447) (-748.310) [-703.928] (-745.585) -- 0:02:34
584000 -- (-749.488) [-715.854] (-711.255) (-746.007) * (-706.745) (-760.596) [-707.470] (-754.008) -- 0:02:33
585000 -- (-752.934) [-705.290] (-715.649) (-739.581) * (-715.117) (-751.681) [-704.304] (-755.522) -- 0:02:33
Average standard deviation of split frequencies: 0.009835
586000 -- (-748.736) [-707.946] (-707.168) (-742.209) * (-721.932) (-758.148) [-715.805] (-754.961) -- 0:02:33
587000 -- (-755.684) (-709.630) [-703.068] (-738.686) * (-712.944) (-741.633) [-708.540] (-746.481) -- 0:02:32
588000 -- (-756.208) (-712.312) [-704.201] (-743.793) * [-707.604] (-741.352) (-709.739) (-747.333) -- 0:02:32
589000 -- (-753.934) [-706.527] (-720.774) (-737.804) * (-715.259) (-742.248) [-708.855] (-755.134) -- 0:02:32
590000 -- (-754.482) [-707.609] (-711.983) (-745.214) * [-703.515] (-746.309) (-713.378) (-742.710) -- 0:02:31
Average standard deviation of split frequencies: 0.009858
591000 -- (-746.918) [-710.412] (-714.352) (-751.382) * (-706.641) (-745.616) [-712.701] (-753.181) -- 0:02:31
592000 -- (-746.628) (-709.485) [-712.143] (-750.466) * (-705.905) (-742.991) [-711.273] (-749.003) -- 0:02:30
593000 -- (-744.859) (-720.875) [-720.845] (-752.656) * [-703.330] (-751.254) (-722.123) (-737.969) -- 0:02:30
594000 -- (-755.734) [-712.587] (-712.667) (-743.376) * (-710.797) (-743.511) [-708.763] (-745.742) -- 0:02:30
595000 -- (-747.171) [-709.109] (-709.544) (-743.408) * [-705.077] (-753.802) (-714.210) (-755.276) -- 0:02:29
Average standard deviation of split frequencies: 0.009887
596000 -- (-757.001) (-710.796) [-711.169] (-744.625) * [-706.560] (-749.820) (-718.062) (-744.575) -- 0:02:29
597000 -- (-760.737) [-704.705] (-710.347) (-752.926) * [-706.546] (-747.373) (-710.636) (-743.424) -- 0:02:29
598000 -- (-755.681) (-720.953) [-705.386] (-751.542) * [-703.350] (-741.977) (-708.129) (-746.182) -- 0:02:28
599000 -- (-749.107) (-717.137) [-711.471] (-749.800) * [-704.558] (-758.657) (-720.864) (-752.600) -- 0:02:28
600000 -- (-746.040) (-713.890) [-710.584] (-740.590) * [-714.598] (-748.934) (-702.598) (-753.770) -- 0:02:28
Average standard deviation of split frequencies: 0.009699
601000 -- (-752.737) (-717.628) [-712.261] (-740.017) * (-709.936) (-743.187) [-710.528] (-745.121) -- 0:02:28
602000 -- (-748.808) (-706.842) [-709.770] (-744.385) * (-707.276) (-741.898) [-711.237] (-748.655) -- 0:02:27
603000 -- (-753.821) (-708.403) [-709.052] (-750.571) * (-719.402) (-739.746) [-709.496] (-747.846) -- 0:02:26
604000 -- (-753.979) (-721.597) [-703.179] (-754.139) * (-715.928) (-749.141) [-708.322] (-745.301) -- 0:02:26
605000 -- (-756.507) [-714.439] (-706.487) (-754.340) * (-716.399) (-758.284) [-707.348] (-748.443) -- 0:02:26
Average standard deviation of split frequencies: 0.009335
606000 -- (-757.098) (-709.631) [-715.716] (-747.240) * (-704.276) (-751.942) [-710.989] (-743.029) -- 0:02:25
607000 -- (-750.371) [-716.012] (-706.930) (-745.557) * (-713.094) (-758.893) [-706.058] (-740.666) -- 0:02:25
608000 -- (-749.262) (-719.562) [-705.155] (-753.392) * (-720.270) (-756.168) [-707.108] (-747.430) -- 0:02:25
609000 -- (-748.984) (-720.218) [-708.315] (-746.400) * (-716.709) (-742.843) [-706.545] (-748.050) -- 0:02:24
610000 -- (-744.359) (-706.952) [-706.447] (-756.044) * (-707.282) (-757.712) [-708.906] (-754.089) -- 0:02:24
Average standard deviation of split frequencies: 0.009453
611000 -- (-751.212) (-707.439) [-708.453] (-759.587) * (-703.375) (-758.982) [-702.593] (-759.750) -- 0:02:23
612000 -- (-745.079) (-715.457) [-716.696] (-752.200) * (-707.958) (-746.225) [-706.355] (-756.572) -- 0:02:23
613000 -- (-756.022) (-711.443) [-706.944] (-755.127) * (-720.447) (-740.799) [-710.552] (-745.413) -- 0:02:23
614000 -- (-749.242) (-719.140) [-706.288] (-744.206) * (-714.412) (-746.216) [-707.458] (-742.554) -- 0:02:22
615000 -- (-758.716) (-716.130) [-706.139] (-743.885) * (-708.312) (-752.831) [-707.195] (-750.998) -- 0:02:22
Average standard deviation of split frequencies: 0.009240
616000 -- (-736.148) [-707.612] (-710.966) (-752.498) * (-717.094) (-753.242) [-707.296] (-750.716) -- 0:02:22
617000 -- (-746.132) (-711.303) [-716.406] (-748.780) * (-709.183) (-743.481) [-708.406] (-743.656) -- 0:02:21
618000 -- (-747.082) [-705.587] (-715.652) (-745.464) * [-707.915] (-751.641) (-712.393) (-755.331) -- 0:02:21
619000 -- (-747.259) [-708.986] (-724.817) (-739.736) * (-705.894) (-746.552) [-712.875] (-762.027) -- 0:02:20
620000 -- (-744.816) (-707.584) [-704.189] (-748.837) * [-708.987] (-738.171) (-721.109) (-766.457) -- 0:02:20
Average standard deviation of split frequencies: 0.009269
621000 -- (-744.259) [-709.069] (-709.496) (-752.025) * [-714.845] (-747.799) (-709.441) (-765.867) -- 0:02:20
622000 -- (-746.831) (-710.929) [-709.600] (-749.364) * (-720.164) (-743.861) [-717.444] (-756.783) -- 0:02:19
623000 -- (-750.672) (-706.738) [-710.605] (-759.530) * (-723.651) (-740.349) [-721.498] (-748.738) -- 0:02:19
624000 -- (-759.557) [-703.607] (-717.245) (-746.380) * (-708.153) (-743.546) [-705.347] (-747.204) -- 0:02:19
625000 -- (-756.915) (-706.567) [-710.024] (-751.607) * (-709.654) (-752.284) [-704.287] (-748.498) -- 0:02:18
Average standard deviation of split frequencies: 0.009064
626000 -- (-740.229) (-707.926) [-713.377] (-743.132) * (-706.635) (-766.680) [-717.216] (-749.049) -- 0:02:18
627000 -- (-739.868) (-716.220) [-709.938] (-741.813) * (-720.229) (-773.618) [-711.402] (-753.188) -- 0:02:18
628000 -- (-746.402) [-711.856] (-711.833) (-742.950) * (-711.897) (-755.819) [-715.727] (-751.431) -- 0:02:18
629000 -- (-751.928) (-721.803) [-716.551] (-742.041) * [-708.275] (-751.976) (-731.203) (-749.258) -- 0:02:17
630000 -- (-748.614) (-709.208) [-714.439] (-747.285) * [-709.431] (-757.611) (-717.271) (-749.270) -- 0:02:16
Average standard deviation of split frequencies: 0.009246
631000 -- (-748.780) [-709.109] (-708.679) (-744.922) * [-711.986] (-749.947) (-721.908) (-748.242) -- 0:02:16
632000 -- (-747.814) (-711.008) [-713.992] (-747.977) * (-713.039) (-746.081) [-714.627] (-749.267) -- 0:02:16
633000 -- (-755.717) (-709.462) [-713.104] (-744.627) * (-712.080) (-759.987) [-725.329] (-745.011) -- 0:02:15
634000 -- (-762.606) (-717.205) [-709.283] (-752.717) * (-718.170) (-751.430) [-705.759] (-745.100) -- 0:02:15
635000 -- (-750.381) [-710.173] (-706.980) (-740.167) * (-710.670) (-753.690) [-710.788] (-750.897) -- 0:02:15
Average standard deviation of split frequencies: 0.009090
636000 -- (-747.581) (-711.217) [-709.159] (-736.830) * (-712.268) (-757.045) [-704.017] (-755.481) -- 0:02:14
637000 -- (-737.372) [-711.498] (-725.930) (-743.043) * (-708.434) (-742.487) [-704.941] (-752.117) -- 0:02:14
638000 -- (-747.596) (-715.995) [-699.346] (-754.966) * (-710.651) (-753.466) [-716.238] (-741.730) -- 0:02:13
639000 -- (-747.679) (-710.268) [-704.352] (-741.112) * [-706.669] (-760.322) (-718.396) (-752.503) -- 0:02:13
640000 -- (-751.629) (-720.738) [-703.497] (-746.113) * [-704.519] (-749.676) (-718.785) (-751.382) -- 0:02:13
Average standard deviation of split frequencies: 0.008955
641000 -- (-742.039) (-710.646) [-710.023] (-739.763) * [-714.498] (-756.163) (-716.268) (-741.316) -- 0:02:12
642000 -- (-757.503) (-712.422) [-702.069] (-738.129) * (-711.727) (-744.134) [-715.131] (-744.716) -- 0:02:12
643000 -- (-752.629) (-719.063) [-703.959] (-743.019) * (-713.897) (-748.423) [-710.723] (-758.538) -- 0:02:12
644000 -- (-751.703) (-711.875) [-708.741] (-743.220) * [-707.468] (-742.509) (-711.059) (-751.976) -- 0:02:11
645000 -- (-748.448) [-710.740] (-712.445) (-757.959) * [-698.067] (-747.088) (-711.031) (-743.579) -- 0:02:11
Average standard deviation of split frequencies: 0.008688
646000 -- (-750.481) [-712.826] (-705.421) (-749.400) * (-701.055) (-749.176) [-705.791] (-751.338) -- 0:02:10
647000 -- (-759.015) [-702.297] (-710.232) (-749.849) * (-714.201) (-746.235) [-706.920] (-754.770) -- 0:02:10
648000 -- (-753.948) [-711.826] (-718.228) (-745.858) * (-718.382) (-758.060) [-700.829] (-753.315) -- 0:02:10
649000 -- (-753.444) (-717.576) [-705.048] (-744.444) * (-707.648) (-754.242) [-706.084] (-744.045) -- 0:02:09
650000 -- (-755.148) [-706.333] (-709.106) (-748.382) * (-713.960) (-749.202) [-710.862] (-744.100) -- 0:02:09
Average standard deviation of split frequencies: 0.008750
651000 -- (-748.449) (-703.782) [-706.974] (-743.179) * [-706.941] (-750.616) (-710.871) (-750.475) -- 0:02:09
652000 -- (-739.954) (-710.522) [-713.524] (-754.658) * [-715.712] (-757.421) (-709.127) (-751.708) -- 0:02:08
653000 -- (-743.176) (-725.125) [-715.752] (-750.310) * [-703.984] (-756.732) (-716.924) (-741.327) -- 0:02:08
654000 -- (-751.914) (-725.641) [-715.655] (-745.641) * [-700.072] (-747.825) (-710.014) (-745.968) -- 0:02:08
655000 -- (-740.195) (-708.679) [-704.764] (-745.563) * [-703.935] (-743.288) (-715.674) (-746.195) -- 0:02:07
Average standard deviation of split frequencies: 0.008609
656000 -- (-740.375) (-705.989) [-708.659] (-745.874) * [-711.160] (-753.276) (-713.203) (-739.509) -- 0:02:07
657000 -- (-747.962) [-706.571] (-706.145) (-735.695) * [-705.520] (-745.907) (-719.844) (-755.033) -- 0:02:06
658000 -- (-750.744) (-713.597) [-710.750] (-733.184) * [-704.744] (-759.173) (-710.708) (-751.083) -- 0:02:06
659000 -- (-749.868) (-722.326) [-710.333] (-746.363) * [-707.231] (-759.247) (-715.076) (-743.906) -- 0:02:06
660000 -- (-744.680) [-707.062] (-713.273) (-752.079) * (-708.080) (-747.804) [-702.719] (-755.015) -- 0:02:05
Average standard deviation of split frequencies: 0.008219
661000 -- (-747.318) [-704.677] (-713.411) (-748.006) * [-709.335] (-745.095) (-706.168) (-748.890) -- 0:02:05
662000 -- (-752.005) (-712.857) [-703.226] (-760.265) * [-706.421] (-757.667) (-709.216) (-747.082) -- 0:02:05
663000 -- (-748.053) (-723.217) [-703.154] (-749.512) * (-716.252) (-750.714) [-711.317] (-747.783) -- 0:02:04
664000 -- (-747.526) (-707.558) [-715.243] (-754.865) * [-707.851] (-748.655) (-703.729) (-752.588) -- 0:02:04
665000 -- (-747.342) (-705.122) [-702.715] (-743.289) * [-713.313] (-749.101) (-716.548) (-746.961) -- 0:02:03
Average standard deviation of split frequencies: 0.008160
666000 -- (-766.774) (-704.390) [-700.567] (-745.649) * [-710.340] (-744.840) (-712.036) (-746.381) -- 0:02:03
667000 -- (-749.476) (-707.956) [-704.527] (-748.779) * (-712.268) (-749.445) [-709.616] (-755.991) -- 0:02:03
668000 -- (-757.732) (-714.958) [-712.689] (-753.097) * [-708.657] (-736.881) (-710.074) (-753.576) -- 0:02:02
669000 -- (-744.536) (-708.971) [-713.793] (-747.727) * [-704.325] (-745.731) (-712.229) (-756.152) -- 0:02:02
670000 -- (-753.547) (-711.998) [-708.179] (-745.592) * [-705.954] (-740.622) (-708.889) (-762.116) -- 0:02:02
Average standard deviation of split frequencies: 0.008063
671000 -- (-750.290) (-710.667) [-705.236] (-743.128) * (-707.284) (-747.205) [-705.212] (-754.012) -- 0:02:01
672000 -- (-751.602) [-709.755] (-718.318) (-756.537) * [-706.331] (-743.318) (-711.026) (-755.230) -- 0:02:01
673000 -- (-737.248) [-707.595] (-711.957) (-747.358) * [-710.888] (-748.679) (-709.261) (-758.935) -- 0:02:00
674000 -- (-739.019) [-703.153] (-704.918) (-751.542) * [-713.066] (-749.320) (-719.517) (-755.635) -- 0:02:00
675000 -- (-752.984) [-718.205] (-713.176) (-750.557) * (-709.775) (-752.259) [-712.245] (-747.604) -- 0:02:00
Average standard deviation of split frequencies: 0.008052
676000 -- (-748.167) [-707.840] (-714.583) (-758.321) * [-710.344] (-746.468) (-722.931) (-750.363) -- 0:01:59
677000 -- (-744.628) [-706.852] (-719.822) (-745.250) * [-707.783] (-750.628) (-712.969) (-745.250) -- 0:01:59
678000 -- (-739.896) (-707.005) [-706.792] (-743.742) * (-717.038) (-741.064) [-708.433] (-745.336) -- 0:01:59
679000 -- (-749.987) [-711.054] (-707.983) (-754.309) * [-709.746] (-747.057) (-706.952) (-746.921) -- 0:01:58
680000 -- (-737.041) (-716.176) [-710.984] (-741.097) * (-715.392) (-758.268) [-705.359] (-742.961) -- 0:01:58
Average standard deviation of split frequencies: 0.008231
681000 -- (-744.922) (-726.887) [-705.574] (-744.750) * (-714.660) (-765.955) [-704.144] (-753.142) -- 0:01:58
682000 -- (-751.929) (-707.568) [-713.290] (-752.517) * (-717.132) (-765.627) [-710.115] (-747.359) -- 0:01:57
683000 -- (-743.451) [-707.673] (-710.070) (-747.723) * (-716.644) (-761.293) [-705.422] (-771.693) -- 0:01:57
684000 -- (-754.833) (-708.563) [-700.327] (-748.298) * (-713.285) (-756.725) [-705.146] (-753.930) -- 0:01:56
685000 -- (-745.768) (-705.987) [-706.922] (-749.855) * (-713.993) (-755.328) [-709.981] (-746.302) -- 0:01:56
Average standard deviation of split frequencies: 0.007839
686000 -- (-745.456) (-722.285) [-708.877] (-752.013) * [-708.270] (-743.803) (-711.294) (-745.499) -- 0:01:56
687000 -- (-751.666) [-715.263] (-709.642) (-751.396) * [-715.885] (-747.173) (-718.661) (-749.887) -- 0:01:55
688000 -- (-743.891) (-708.697) [-708.294] (-746.890) * [-703.048] (-760.306) (-708.900) (-746.877) -- 0:01:55
689000 -- (-752.450) [-702.788] (-713.082) (-753.510) * [-706.017] (-750.264) (-719.578) (-746.507) -- 0:01:55
690000 -- (-748.882) (-711.022) [-713.762] (-748.968) * (-720.112) (-743.725) [-707.114] (-749.634) -- 0:01:54
Average standard deviation of split frequencies: 0.007959
691000 -- (-743.493) (-706.734) [-707.252] (-757.687) * (-722.529) (-750.871) [-710.738] (-748.537) -- 0:01:54
692000 -- (-745.531) (-715.468) [-705.211] (-736.154) * (-713.378) (-761.464) [-713.564] (-743.951) -- 0:01:53
693000 -- (-751.999) [-713.211] (-708.186) (-748.680) * (-714.516) (-748.377) [-708.023] (-753.495) -- 0:01:53
694000 -- (-741.188) (-717.377) [-705.961] (-750.900) * (-715.256) (-744.277) [-715.199] (-741.246) -- 0:01:53
695000 -- (-751.600) (-706.838) [-707.008] (-752.425) * (-715.122) (-753.402) [-710.902] (-750.173) -- 0:01:52
Average standard deviation of split frequencies: 0.008102
696000 -- (-753.860) [-710.178] (-716.173) (-750.219) * (-711.041) (-746.519) [-703.022] (-754.420) -- 0:01:52
697000 -- (-753.602) [-709.053] (-712.585) (-757.200) * (-709.912) (-756.406) [-711.320] (-750.101) -- 0:01:52
698000 -- (-747.163) [-703.435] (-718.341) (-753.351) * (-710.438) (-760.940) [-705.109] (-743.039) -- 0:01:51
699000 -- (-752.426) [-706.279] (-714.968) (-752.429) * (-708.249) (-760.730) [-697.214] (-749.876) -- 0:01:51
700000 -- (-744.528) [-707.643] (-718.803) (-733.943) * (-723.057) (-753.105) [-707.630] (-748.801) -- 0:01:51
Average standard deviation of split frequencies: 0.008099
701000 -- (-742.140) [-700.969] (-711.390) (-736.737) * (-719.126) (-746.016) [-704.884] (-742.873) -- 0:01:50
702000 -- (-742.758) [-711.787] (-711.487) (-742.551) * [-702.712] (-745.172) (-715.443) (-755.433) -- 0:01:50
703000 -- (-752.204) [-706.288] (-708.905) (-740.477) * (-707.824) (-746.454) [-708.632] (-754.816) -- 0:01:49
704000 -- (-753.276) [-702.849] (-712.435) (-737.686) * (-708.804) (-741.179) [-699.952] (-747.678) -- 0:01:49
705000 -- (-748.267) [-715.075] (-708.401) (-753.138) * (-714.728) (-744.605) [-703.409] (-748.823) -- 0:01:49
Average standard deviation of split frequencies: 0.007912
706000 -- (-754.793) (-706.638) [-708.416] (-758.762) * (-705.734) (-753.989) [-700.823] (-756.893) -- 0:01:48
707000 -- (-744.425) (-714.359) [-710.542] (-749.546) * (-714.065) (-752.841) [-704.003] (-752.875) -- 0:01:48
708000 -- (-755.155) (-722.013) [-704.382] (-748.904) * (-717.386) (-750.166) [-716.083] (-758.860) -- 0:01:48
709000 -- (-748.924) (-711.817) [-715.803] (-743.118) * (-722.771) (-747.660) [-707.182] (-742.061) -- 0:01:47
710000 -- (-746.531) (-707.785) [-713.401] (-737.081) * (-719.772) (-760.847) [-704.542] (-755.660) -- 0:01:47
Average standard deviation of split frequencies: 0.007882
711000 -- (-750.079) (-716.998) [-703.636] (-750.035) * (-713.002) (-750.191) [-706.952] (-743.740) -- 0:01:46
712000 -- (-749.199) [-712.310] (-724.327) (-742.065) * (-718.200) (-747.106) [-721.144] (-741.016) -- 0:01:46
713000 -- (-743.977) [-709.560] (-715.625) (-739.315) * (-716.148) (-755.113) [-722.049] (-748.412) -- 0:01:46
714000 -- (-755.338) [-713.912] (-711.168) (-744.363) * (-706.097) (-752.186) [-710.188] (-747.106) -- 0:01:45
715000 -- (-749.928) [-709.859] (-708.283) (-746.860) * [-708.226] (-749.223) (-717.962) (-757.751) -- 0:01:45
Average standard deviation of split frequencies: 0.007812
716000 -- (-748.909) [-713.971] (-709.217) (-747.640) * [-709.552] (-748.707) (-708.044) (-749.167) -- 0:01:45
717000 -- (-742.964) (-703.863) [-714.118] (-750.564) * (-705.785) (-747.808) [-717.567] (-748.275) -- 0:01:44
718000 -- (-752.162) [-712.211] (-718.493) (-740.415) * [-721.463] (-748.722) (-713.524) (-757.457) -- 0:01:44
719000 -- (-744.388) [-704.859] (-715.490) (-744.803) * [-718.291] (-753.116) (-710.363) (-743.272) -- 0:01:43
720000 -- (-741.111) [-703.855] (-714.983) (-751.092) * (-706.459) (-752.612) [-706.209] (-741.920) -- 0:01:43
Average standard deviation of split frequencies: 0.007902
721000 -- (-746.491) [-708.714] (-711.408) (-754.867) * (-704.340) (-757.366) [-724.379] (-737.614) -- 0:01:43
722000 -- (-749.846) [-717.538] (-720.406) (-734.315) * [-708.311] (-748.267) (-712.025) (-745.664) -- 0:01:42
723000 -- (-743.992) (-717.967) [-710.157] (-738.133) * (-712.919) (-736.113) [-705.832] (-744.457) -- 0:01:42
724000 -- (-747.930) [-702.893] (-711.552) (-742.427) * [-715.821] (-742.546) (-705.946) (-764.777) -- 0:01:42
725000 -- (-738.273) [-709.947] (-715.075) (-743.983) * (-714.751) (-749.697) [-714.390] (-760.434) -- 0:01:41
Average standard deviation of split frequencies: 0.007917
726000 -- (-749.059) [-707.422] (-721.065) (-739.549) * (-715.943) (-753.394) [-706.818] (-750.024) -- 0:01:41
727000 -- (-745.670) [-701.547] (-722.118) (-744.306) * [-709.829] (-751.571) (-714.326) (-748.357) -- 0:01:41
728000 -- (-750.850) (-707.036) [-715.250] (-756.687) * [-708.199] (-748.577) (-711.735) (-743.394) -- 0:01:40
729000 -- (-743.180) (-716.266) [-707.450] (-753.203) * (-708.963) (-743.586) [-700.966] (-752.863) -- 0:01:40
730000 -- (-749.133) [-715.406] (-704.954) (-743.804) * (-707.902) (-739.090) [-700.501] (-750.969) -- 0:01:39
Average standard deviation of split frequencies: 0.007730
731000 -- (-741.169) (-709.857) [-705.956] (-755.965) * [-710.967] (-751.244) (-712.171) (-743.938) -- 0:01:39
732000 -- (-748.708) [-712.708] (-708.848) (-748.066) * (-719.776) (-746.560) [-711.711] (-756.682) -- 0:01:39
733000 -- (-746.903) [-704.937] (-713.784) (-742.578) * [-718.983] (-764.356) (-719.437) (-748.414) -- 0:01:38
734000 -- (-745.097) (-714.363) [-717.553] (-759.817) * [-715.721] (-754.949) (-717.305) (-760.822) -- 0:01:38
735000 -- (-745.616) (-714.111) [-710.964] (-754.060) * [-707.089] (-759.476) (-711.584) (-751.061) -- 0:01:38
Average standard deviation of split frequencies: 0.007649
736000 -- (-743.264) [-712.213] (-708.707) (-739.148) * (-706.777) (-754.632) [-707.180] (-745.823) -- 0:01:37
737000 -- (-751.978) (-704.267) [-713.309] (-751.158) * [-701.078] (-753.658) (-711.455) (-742.805) -- 0:01:37
738000 -- (-748.197) (-713.670) [-706.632] (-745.001) * (-716.488) (-738.316) [-705.602] (-748.588) -- 0:01:36
739000 -- (-740.887) [-714.694] (-721.485) (-754.345) * [-714.873] (-755.824) (-708.668) (-742.070) -- 0:01:36
740000 -- (-756.586) (-708.512) [-709.091] (-751.751) * (-716.736) (-746.218) [-714.287] (-745.161) -- 0:01:36
Average standard deviation of split frequencies: 0.007870
741000 -- (-744.152) (-712.465) [-706.928] (-746.876) * [-712.364] (-745.739) (-706.830) (-750.753) -- 0:01:35
742000 -- (-754.265) (-716.962) [-706.129] (-746.897) * [-720.971] (-739.231) (-707.404) (-743.559) -- 0:01:35
743000 -- (-741.881) (-709.696) [-710.828] (-745.768) * [-707.584] (-755.457) (-717.665) (-748.764) -- 0:01:35
744000 -- (-754.539) (-709.188) [-710.688] (-733.233) * [-706.776] (-754.583) (-719.068) (-750.715) -- 0:01:34
745000 -- (-746.527) (-709.385) [-715.276] (-743.918) * [-706.148] (-752.181) (-712.321) (-737.201) -- 0:01:34
Average standard deviation of split frequencies: 0.007947
746000 -- (-751.175) (-721.973) [-722.998] (-743.788) * (-717.475) (-743.260) [-703.037] (-748.637) -- 0:01:33
747000 -- (-751.970) (-710.303) [-711.754] (-745.807) * (-704.065) (-745.030) [-708.437] (-748.655) -- 0:01:33
748000 -- (-757.537) [-709.738] (-707.330) (-745.408) * [-709.252] (-759.230) (-718.678) (-749.441) -- 0:01:33
749000 -- (-751.028) (-715.750) [-710.991] (-740.996) * (-719.157) (-742.506) [-714.245] (-759.813) -- 0:01:32
750000 -- (-756.876) (-710.361) [-712.570] (-757.055) * [-709.562] (-751.672) (-707.482) (-747.981) -- 0:01:32
Average standard deviation of split frequencies: 0.007910
751000 -- (-752.531) (-707.164) [-718.698] (-746.224) * (-710.530) (-757.755) [-709.593] (-744.898) -- 0:01:32
752000 -- (-760.474) (-711.178) [-711.151] (-745.920) * (-713.079) (-744.471) [-717.063] (-753.614) -- 0:01:32
753000 -- (-743.049) [-711.320] (-717.516) (-736.596) * [-721.904] (-757.638) (-706.674) (-741.583) -- 0:01:31
754000 -- (-738.807) [-707.520] (-711.815) (-737.286) * (-712.212) (-761.971) [-705.543] (-743.543) -- 0:01:31
755000 -- (-758.948) [-714.032] (-726.819) (-746.019) * (-712.598) (-747.473) [-704.564] (-745.118) -- 0:01:30
Average standard deviation of split frequencies: 0.007977
756000 -- (-752.332) [-701.912] (-712.139) (-738.768) * (-706.955) (-742.894) [-707.382] (-742.045) -- 0:01:30
757000 -- (-748.760) [-709.836] (-712.519) (-744.736) * (-738.873) (-748.566) [-714.505] (-748.065) -- 0:01:29
758000 -- (-754.955) [-707.538] (-717.471) (-734.814) * (-728.170) (-741.940) [-711.813] (-759.665) -- 0:01:29
759000 -- (-744.644) (-709.536) [-710.845] (-741.353) * (-721.543) (-745.828) [-710.727] (-751.673) -- 0:01:29
760000 -- (-757.719) (-707.050) [-714.317] (-744.457) * (-710.101) (-733.426) [-705.355] (-743.587) -- 0:01:28
Average standard deviation of split frequencies: 0.008185
761000 -- (-741.745) (-709.875) [-706.296] (-743.808) * (-717.512) (-741.077) [-712.078] (-740.097) -- 0:01:28
762000 -- (-750.821) [-711.494] (-711.978) (-745.737) * (-707.363) (-761.859) [-723.459] (-751.666) -- 0:01:28
763000 -- (-739.504) [-709.267] (-714.234) (-745.701) * [-706.369] (-744.196) (-722.733) (-742.113) -- 0:01:27
764000 -- (-740.930) [-716.302] (-712.769) (-739.291) * [-709.566] (-755.422) (-706.195) (-747.788) -- 0:01:27
765000 -- (-748.347) (-712.334) [-704.039] (-738.991) * [-710.231] (-751.106) (-709.348) (-748.929) -- 0:01:26
Average standard deviation of split frequencies: 0.007861
766000 -- (-753.936) [-710.198] (-718.356) (-736.539) * [-704.879] (-754.302) (-716.270) (-741.372) -- 0:01:26
767000 -- (-742.547) [-700.283] (-706.164) (-740.799) * (-717.008) (-750.620) [-707.971] (-753.073) -- 0:01:26
768000 -- (-754.099) (-713.028) [-714.635] (-737.057) * [-705.421] (-745.976) (-715.503) (-746.259) -- 0:01:25
769000 -- (-749.904) (-717.769) [-709.759] (-756.202) * [-706.741] (-750.193) (-710.906) (-747.459) -- 0:01:25
770000 -- (-759.077) [-704.643] (-708.043) (-751.238) * [-709.649] (-750.844) (-714.980) (-745.827) -- 0:01:25
Average standard deviation of split frequencies: 0.007917
771000 -- (-766.127) [-709.197] (-722.407) (-743.737) * [-705.343] (-750.974) (-712.483) (-754.154) -- 0:01:24
772000 -- (-746.715) (-703.380) [-713.548] (-744.477) * [-714.450] (-764.814) (-710.361) (-746.951) -- 0:01:24
773000 -- (-747.848) [-706.030] (-716.965) (-739.438) * [-711.484] (-744.565) (-708.478) (-746.702) -- 0:01:23
774000 -- (-745.827) [-712.018] (-706.894) (-742.450) * [-705.600] (-740.487) (-718.657) (-751.290) -- 0:01:23
775000 -- (-747.613) [-711.983] (-709.284) (-739.538) * (-713.400) (-749.580) [-710.200] (-747.190) -- 0:01:23
Average standard deviation of split frequencies: 0.007815
776000 -- (-738.756) [-709.674] (-714.097) (-759.511) * (-716.035) (-750.879) [-708.775] (-753.235) -- 0:01:22
777000 -- (-740.590) [-712.850] (-712.929) (-740.912) * [-713.300] (-746.320) (-717.817) (-751.399) -- 0:01:22
778000 -- (-747.156) (-712.043) [-708.410] (-749.753) * [-714.335] (-742.880) (-713.555) (-756.561) -- 0:01:22
779000 -- (-752.034) (-708.899) [-717.986] (-744.973) * (-717.581) (-747.993) [-714.785] (-751.091) -- 0:01:21
780000 -- (-745.256) (-714.802) [-715.929] (-748.255) * (-712.050) (-748.370) [-706.736] (-753.877) -- 0:01:21
Average standard deviation of split frequencies: 0.007791
781000 -- (-746.211) [-711.744] (-717.335) (-742.265) * (-709.923) (-747.583) [-709.302] (-752.904) -- 0:01:21
782000 -- (-748.179) [-706.894] (-713.476) (-751.170) * (-709.918) (-735.285) [-705.897] (-747.713) -- 0:01:20
783000 -- (-754.281) (-712.216) [-708.192] (-745.056) * (-707.533) (-743.363) [-714.248] (-754.292) -- 0:01:20
784000 -- (-753.132) (-715.154) [-704.467] (-756.425) * (-706.483) (-751.636) [-705.941] (-751.447) -- 0:01:19
785000 -- (-748.836) (-707.910) [-717.123] (-757.168) * (-710.117) (-758.791) [-707.738] (-760.483) -- 0:01:19
Average standard deviation of split frequencies: 0.007632
786000 -- (-758.160) [-707.746] (-718.388) (-749.245) * (-716.490) (-751.483) [-711.696] (-753.804) -- 0:01:19
787000 -- (-748.535) [-709.757] (-708.333) (-753.870) * [-710.269] (-745.778) (-715.266) (-759.780) -- 0:01:18
788000 -- (-754.092) [-703.582] (-712.047) (-750.179) * [-698.876] (-752.684) (-711.098) (-756.432) -- 0:01:18
789000 -- (-757.815) (-717.833) [-710.087] (-755.601) * [-706.866] (-743.723) (-720.365) (-748.152) -- 0:01:18
790000 -- (-754.175) (-708.681) [-710.350] (-756.858) * (-719.140) (-738.646) [-712.165] (-758.466) -- 0:01:17
Average standard deviation of split frequencies: 0.007318
791000 -- (-748.969) [-701.060] (-718.135) (-748.428) * (-714.225) (-751.402) [-716.980] (-743.807) -- 0:01:17
792000 -- (-740.184) [-707.200] (-713.761) (-743.685) * (-719.136) (-742.003) [-712.447] (-742.310) -- 0:01:16
793000 -- (-750.364) [-715.078] (-714.920) (-757.210) * (-721.796) (-754.913) [-712.101] (-741.681) -- 0:01:16
794000 -- (-755.682) [-701.468] (-714.134) (-747.210) * [-707.342] (-755.254) (-710.218) (-755.127) -- 0:01:16
795000 -- (-746.279) (-713.898) [-717.387] (-744.307) * [-712.214] (-748.634) (-717.860) (-746.787) -- 0:01:15
Average standard deviation of split frequencies: 0.007467
796000 -- (-753.100) (-718.063) [-716.453] (-747.818) * [-707.831] (-749.664) (-723.866) (-757.890) -- 0:01:15
797000 -- (-752.126) (-718.490) [-713.321] (-751.562) * [-705.110] (-748.624) (-722.185) (-744.958) -- 0:01:15
798000 -- (-748.735) (-707.410) [-713.231] (-745.180) * [-710.882] (-749.712) (-713.793) (-748.548) -- 0:01:14
799000 -- (-745.201) (-709.330) [-708.360] (-747.492) * [-704.693] (-765.571) (-711.510) (-760.230) -- 0:01:14
800000 -- (-739.727) (-713.257) [-702.172] (-743.295) * [-702.331] (-757.839) (-713.315) (-757.985) -- 0:01:14
Average standard deviation of split frequencies: 0.007608
801000 -- (-742.504) (-724.917) [-712.686] (-747.136) * (-715.790) (-746.204) [-716.295] (-752.585) -- 0:01:13
802000 -- (-746.009) [-709.924] (-714.071) (-743.531) * [-708.076] (-750.106) (-713.922) (-750.246) -- 0:01:13
803000 -- (-750.721) [-711.632] (-704.468) (-755.856) * [-702.749] (-752.414) (-709.723) (-753.535) -- 0:01:12
804000 -- (-755.417) [-709.968] (-708.865) (-737.455) * (-709.754) (-753.485) [-707.233] (-755.450) -- 0:01:12
805000 -- (-753.035) (-712.890) [-720.299] (-741.175) * (-711.011) (-748.331) [-707.122] (-760.246) -- 0:01:12
Average standard deviation of split frequencies: 0.007718
806000 -- (-765.230) [-709.942] (-716.928) (-742.005) * [-712.748] (-764.621) (-713.411) (-759.864) -- 0:01:11
807000 -- (-748.819) [-706.863] (-714.418) (-740.831) * (-707.858) (-747.224) [-704.465] (-751.776) -- 0:01:11
808000 -- (-750.149) [-707.479] (-715.490) (-747.188) * [-718.288] (-753.940) (-712.000) (-744.554) -- 0:01:11
809000 -- (-752.945) [-712.351] (-718.922) (-754.586) * (-707.303) (-751.094) [-709.928] (-761.444) -- 0:01:10
810000 -- (-750.393) [-709.367] (-708.836) (-745.032) * (-713.567) (-755.097) [-714.055] (-752.827) -- 0:01:10
Average standard deviation of split frequencies: 0.007651
811000 -- (-751.663) (-707.414) [-708.143] (-740.723) * (-712.324) (-750.800) [-708.077] (-739.706) -- 0:01:09
812000 -- (-735.917) [-712.985] (-707.111) (-762.373) * (-716.627) (-761.443) [-708.270] (-749.767) -- 0:01:09
813000 -- (-751.138) (-711.573) [-703.798] (-743.694) * (-708.005) (-751.113) [-705.461] (-755.475) -- 0:01:09
814000 -- (-747.750) (-718.284) [-715.087] (-753.435) * (-712.111) (-751.158) [-711.516] (-751.534) -- 0:01:08
815000 -- (-748.130) (-718.799) [-707.084] (-744.964) * [-707.369] (-760.242) (-716.937) (-758.143) -- 0:01:08
Average standard deviation of split frequencies: 0.007601
816000 -- (-749.160) (-717.833) [-705.974] (-739.037) * [-703.238] (-751.311) (-710.471) (-746.032) -- 0:01:08
817000 -- (-749.349) (-711.088) [-704.754] (-741.780) * [-702.202] (-744.254) (-709.395) (-747.164) -- 0:01:07
818000 -- (-751.934) [-707.727] (-719.729) (-744.963) * [-704.069] (-743.501) (-706.796) (-758.180) -- 0:01:07
819000 -- (-747.325) [-711.259] (-712.654) (-741.714) * (-717.928) (-746.918) [-717.430] (-756.414) -- 0:01:06
820000 -- (-756.350) [-719.572] (-717.936) (-741.529) * (-720.375) (-752.158) [-707.086] (-771.933) -- 0:01:06
Average standard deviation of split frequencies: 0.007648
821000 -- (-749.801) [-727.835] (-720.349) (-739.631) * [-709.057] (-760.215) (-710.353) (-752.725) -- 0:01:06
822000 -- (-740.783) [-712.475] (-717.696) (-748.009) * [-708.918] (-748.898) (-705.709) (-755.390) -- 0:01:05
823000 -- (-747.715) [-713.154] (-715.263) (-744.045) * [-705.073] (-747.385) (-715.224) (-762.641) -- 0:01:05
824000 -- (-750.074) [-703.690] (-705.353) (-753.279) * (-715.472) (-745.288) [-712.950] (-745.012) -- 0:01:05
825000 -- (-754.328) (-701.463) [-706.231] (-748.284) * [-708.279] (-743.716) (-715.726) (-749.894) -- 0:01:04
Average standard deviation of split frequencies: 0.007628
826000 -- (-761.346) [-703.531] (-712.704) (-746.297) * (-707.815) (-742.081) [-708.964] (-751.614) -- 0:01:04
827000 -- (-741.135) (-711.293) [-703.489] (-744.243) * [-716.645] (-755.189) (-712.337) (-760.070) -- 0:01:04
828000 -- (-742.630) (-719.140) [-715.124] (-740.105) * [-707.626] (-746.743) (-720.999) (-742.572) -- 0:01:03
829000 -- (-747.473) (-719.787) [-710.329] (-746.688) * [-714.824] (-751.715) (-711.672) (-742.023) -- 0:01:03
830000 -- (-746.567) (-713.241) [-712.696] (-744.527) * (-710.205) (-757.394) [-712.911] (-746.364) -- 0:01:02
Average standard deviation of split frequencies: 0.007727
831000 -- (-752.409) [-713.290] (-708.185) (-751.630) * (-706.496) (-755.976) [-704.925] (-752.327) -- 0:01:02
832000 -- (-747.470) [-709.713] (-715.996) (-764.631) * (-709.217) (-753.407) [-715.824] (-742.675) -- 0:01:02
833000 -- (-749.295) [-705.779] (-710.208) (-761.183) * [-711.236] (-753.065) (-711.346) (-739.996) -- 0:01:01
834000 -- (-755.418) (-724.259) [-703.343] (-744.614) * (-717.260) (-750.436) [-711.560] (-746.598) -- 0:01:01
835000 -- (-752.820) (-708.570) [-707.143] (-749.823) * [-711.014] (-754.569) (-706.807) (-750.658) -- 0:01:01
Average standard deviation of split frequencies: 0.007851
836000 -- (-757.785) [-709.275] (-717.561) (-737.909) * (-707.301) (-758.819) [-711.914] (-750.680) -- 0:01:00
837000 -- (-752.860) (-708.854) [-704.575] (-738.431) * (-705.877) (-758.485) [-720.543] (-748.204) -- 0:01:00
838000 -- (-747.884) (-712.140) [-709.027] (-742.540) * (-708.557) (-742.850) [-712.044] (-753.718) -- 0:00:59
839000 -- (-742.517) (-719.753) [-705.811] (-739.099) * (-716.571) (-741.758) [-708.097] (-758.503) -- 0:00:59
840000 -- (-752.161) [-704.385] (-711.434) (-742.973) * [-718.661] (-737.616) (-729.066) (-752.671) -- 0:00:59
Average standard deviation of split frequencies: 0.007926
841000 -- (-744.468) (-713.412) [-709.213] (-755.201) * [-713.340] (-748.339) (-725.992) (-746.557) -- 0:00:58
842000 -- (-746.995) [-709.985] (-728.609) (-741.441) * [-711.806] (-749.839) (-715.178) (-743.961) -- 0:00:58
843000 -- (-752.881) (-706.614) [-706.132] (-736.504) * [-705.856] (-742.607) (-716.072) (-743.588) -- 0:00:58
844000 -- (-753.136) [-716.742] (-712.571) (-740.811) * [-704.954] (-742.260) (-706.897) (-747.507) -- 0:00:57
845000 -- (-744.845) [-705.992] (-709.937) (-737.525) * (-709.508) (-749.592) [-709.316] (-743.218) -- 0:00:57
Average standard deviation of split frequencies: 0.007983
846000 -- (-745.757) [-706.952] (-710.554) (-746.241) * (-705.882) (-738.121) [-720.055] (-756.399) -- 0:00:56
847000 -- (-747.799) (-709.064) [-708.079] (-745.954) * [-707.046] (-756.098) (-715.180) (-751.161) -- 0:00:56
848000 -- (-754.726) [-721.013] (-711.653) (-741.941) * [-710.829] (-746.707) (-720.778) (-760.991) -- 0:00:56
849000 -- (-754.328) (-716.722) [-706.012] (-741.952) * (-715.293) (-746.804) [-718.438] (-746.453) -- 0:00:55
850000 -- (-748.010) [-716.415] (-712.989) (-747.566) * (-720.824) (-746.513) [-708.062] (-740.462) -- 0:00:55
Average standard deviation of split frequencies: 0.007929
851000 -- (-746.777) [-710.380] (-712.498) (-741.123) * [-715.049] (-753.263) (-712.015) (-741.295) -- 0:00:55
852000 -- (-746.326) (-730.347) [-711.823] (-752.945) * (-715.274) (-751.467) [-712.324] (-746.960) -- 0:00:54
853000 -- (-748.793) (-727.486) [-709.056] (-755.344) * (-718.738) (-749.081) [-714.169] (-753.400) -- 0:00:54
854000 -- (-742.819) (-717.795) [-715.191] (-760.679) * (-710.076) (-756.528) [-707.556] (-748.869) -- 0:00:54
855000 -- (-746.579) [-708.277] (-714.427) (-744.561) * (-724.471) (-742.338) [-712.785] (-755.474) -- 0:00:53
Average standard deviation of split frequencies: 0.007763
856000 -- (-753.397) (-706.421) [-715.843] (-742.330) * [-703.743] (-753.889) (-718.940) (-762.345) -- 0:00:53
857000 -- (-749.010) (-710.259) [-708.865] (-745.249) * [-700.494] (-750.751) (-716.828) (-753.170) -- 0:00:52
858000 -- (-756.281) (-706.269) [-707.239] (-753.837) * [-713.040] (-747.343) (-719.340) (-754.012) -- 0:00:52
859000 -- (-748.154) (-706.445) [-708.661] (-740.618) * [-702.289] (-754.953) (-712.069) (-756.006) -- 0:00:52
860000 -- (-740.591) [-702.816] (-709.060) (-744.476) * [-702.610] (-759.037) (-711.096) (-758.313) -- 0:00:51
Average standard deviation of split frequencies: 0.007604
861000 -- (-742.552) [-710.345] (-717.062) (-739.314) * [-705.802] (-749.844) (-714.626) (-753.754) -- 0:00:51
862000 -- (-743.142) (-709.132) [-704.144] (-737.550) * [-710.962] (-758.932) (-716.653) (-753.398) -- 0:00:51
863000 -- (-757.507) [-707.747] (-717.674) (-740.023) * (-715.760) (-748.591) [-708.155] (-748.054) -- 0:00:50
864000 -- (-747.749) [-703.094] (-719.235) (-748.911) * (-719.152) (-750.251) [-706.893] (-756.872) -- 0:00:50
865000 -- (-741.151) [-708.564] (-719.950) (-745.653) * (-714.136) (-748.963) [-710.642] (-753.463) -- 0:00:49
Average standard deviation of split frequencies: 0.007272
866000 -- (-741.977) [-705.364] (-700.467) (-745.162) * [-708.900] (-755.781) (-706.036) (-748.665) -- 0:00:49
867000 -- (-757.070) (-710.767) [-712.625] (-744.555) * (-722.996) (-742.512) [-706.846] (-745.992) -- 0:00:49
868000 -- (-746.138) (-705.341) [-715.999] (-743.654) * [-708.730] (-746.153) (-720.295) (-752.579) -- 0:00:48
869000 -- (-746.624) [-709.437] (-715.886) (-745.737) * [-704.288] (-752.659) (-707.399) (-746.255) -- 0:00:48
870000 -- (-752.831) [-704.981] (-714.430) (-758.425) * (-714.956) (-752.355) [-708.244] (-764.594) -- 0:00:48
Average standard deviation of split frequencies: 0.007216
871000 -- (-743.314) (-706.801) [-700.385] (-739.316) * [-715.365] (-753.883) (-708.971) (-749.659) -- 0:00:47
872000 -- (-746.387) [-704.118] (-709.708) (-747.141) * [-708.391] (-755.051) (-711.874) (-751.186) -- 0:00:47
873000 -- (-742.947) [-702.548] (-718.092) (-740.497) * (-715.025) (-748.310) [-704.156] (-741.547) -- 0:00:46
874000 -- (-752.676) [-710.979] (-723.597) (-750.779) * (-715.765) (-747.328) [-716.877] (-748.559) -- 0:00:46
875000 -- (-743.075) (-713.597) [-705.741] (-748.949) * [-719.691] (-747.417) (-708.986) (-752.727) -- 0:00:46
Average standard deviation of split frequencies: 0.007327
876000 -- (-758.124) (-716.718) [-704.339] (-746.226) * (-718.945) (-753.995) [-707.702] (-747.169) -- 0:00:45
877000 -- (-752.381) (-707.200) [-714.320] (-751.313) * (-707.516) (-745.562) [-707.782] (-747.099) -- 0:00:45
878000 -- (-747.290) [-711.257] (-718.166) (-754.688) * (-716.230) (-743.416) [-704.901] (-748.411) -- 0:00:45
879000 -- (-742.561) (-706.628) [-706.977] (-741.210) * (-714.595) (-748.940) [-706.801] (-752.333) -- 0:00:44
880000 -- (-752.155) [-705.784] (-704.560) (-742.724) * (-715.709) (-754.028) [-705.959] (-758.247) -- 0:00:44
Average standard deviation of split frequencies: 0.007305
881000 -- (-743.001) [-700.232] (-718.230) (-741.650) * [-706.253] (-745.860) (-706.639) (-750.136) -- 0:00:44
882000 -- (-744.176) [-714.848] (-713.547) (-739.410) * [-704.104] (-750.191) (-714.867) (-747.998) -- 0:00:43
883000 -- (-745.320) (-733.633) [-705.037] (-742.150) * [-712.274] (-757.261) (-715.394) (-744.535) -- 0:00:43
884000 -- (-753.654) (-718.382) [-714.418] (-739.322) * [-703.006] (-745.823) (-722.131) (-745.795) -- 0:00:42
885000 -- (-752.681) [-706.064] (-714.818) (-744.958) * [-707.535] (-747.986) (-711.325) (-752.618) -- 0:00:42
Average standard deviation of split frequencies: 0.007295
886000 -- (-753.569) [-709.803] (-709.428) (-745.183) * [-708.443] (-750.050) (-702.804) (-744.817) -- 0:00:42
887000 -- (-757.019) [-703.099] (-712.126) (-742.334) * (-710.820) (-747.114) [-715.581] (-738.454) -- 0:00:41
888000 -- (-751.571) [-711.148] (-719.345) (-739.669) * (-723.395) (-752.184) [-713.611] (-750.176) -- 0:00:41
889000 -- (-753.474) (-718.203) [-713.034] (-746.034) * [-705.029] (-746.488) (-706.760) (-746.868) -- 0:00:41
890000 -- (-751.520) (-731.432) [-703.266] (-750.103) * [-712.813] (-749.873) (-699.503) (-757.075) -- 0:00:40
Average standard deviation of split frequencies: 0.007240
891000 -- (-749.306) (-720.277) [-706.473] (-744.241) * [-715.936] (-752.711) (-711.929) (-747.451) -- 0:00:40
892000 -- (-743.430) (-713.854) [-712.987] (-755.464) * [-712.282] (-743.377) (-718.424) (-743.633) -- 0:00:39
893000 -- (-756.077) [-718.524] (-713.089) (-751.640) * [-711.950] (-753.319) (-715.155) (-747.916) -- 0:00:39
894000 -- (-742.718) (-722.177) [-707.159] (-742.180) * [-707.605] (-745.421) (-716.512) (-752.505) -- 0:00:39
895000 -- (-755.447) (-720.508) [-711.155] (-734.929) * [-706.512] (-745.417) (-717.859) (-744.267) -- 0:00:38
Average standard deviation of split frequencies: 0.007087
896000 -- (-753.627) [-713.217] (-705.588) (-744.027) * [-707.712] (-748.051) (-715.830) (-754.293) -- 0:00:38
897000 -- (-750.869) [-705.324] (-708.531) (-748.642) * [-705.861] (-746.297) (-709.745) (-754.036) -- 0:00:38
898000 -- (-744.548) (-709.992) [-707.101] (-735.946) * (-715.343) (-742.444) [-706.367] (-755.600) -- 0:00:37
899000 -- (-753.175) (-713.130) [-707.006] (-744.591) * (-720.803) (-752.297) [-707.445] (-754.661) -- 0:00:37
900000 -- (-745.504) [-699.900] (-706.497) (-744.081) * (-709.942) (-749.446) [-707.582] (-746.996) -- 0:00:37
Average standard deviation of split frequencies: 0.007235
901000 -- (-744.836) [-708.388] (-708.621) (-754.301) * (-714.485) (-747.226) [-711.329] (-753.360) -- 0:00:36
902000 -- (-744.331) [-712.449] (-701.854) (-758.324) * [-707.992] (-747.851) (-710.306) (-753.186) -- 0:00:36
903000 -- (-749.059) [-707.026] (-724.242) (-751.846) * [-707.637] (-750.486) (-710.512) (-748.456) -- 0:00:35
904000 -- (-750.264) (-712.367) [-707.085] (-753.224) * (-713.111) (-747.417) [-711.306] (-751.864) -- 0:00:35
905000 -- (-754.739) (-713.578) [-705.580] (-757.010) * (-714.473) (-740.123) [-708.322] (-751.723) -- 0:00:35
Average standard deviation of split frequencies: 0.007114
906000 -- (-751.964) (-713.857) [-708.026] (-741.692) * (-712.932) (-750.267) [-705.386] (-755.436) -- 0:00:34
907000 -- (-754.680) [-707.803] (-715.564) (-746.549) * (-724.396) (-744.328) [-705.702] (-755.513) -- 0:00:34
908000 -- (-745.794) (-722.402) [-707.920] (-750.285) * (-719.126) (-741.058) [-710.023] (-743.516) -- 0:00:34
909000 -- (-747.209) [-710.906] (-718.906) (-756.460) * (-711.433) (-747.657) [-711.346] (-746.894) -- 0:00:33
910000 -- (-747.871) [-712.266] (-720.857) (-748.485) * (-711.562) (-761.871) [-704.221] (-747.239) -- 0:00:33
Average standard deviation of split frequencies: 0.007247
911000 -- (-748.087) [-709.146] (-716.300) (-738.551) * (-705.824) (-753.784) [-707.247] (-753.713) -- 0:00:32
912000 -- (-756.067) (-711.606) [-710.191] (-749.739) * [-710.362] (-742.431) (-712.137) (-754.683) -- 0:00:32
913000 -- (-755.420) [-710.013] (-712.140) (-744.312) * (-717.001) (-753.284) [-720.452] (-747.448) -- 0:00:32
914000 -- (-752.173) (-720.503) [-706.582] (-752.822) * [-713.319] (-758.338) (-715.969) (-753.367) -- 0:00:31
915000 -- (-752.862) (-713.545) [-710.316] (-735.635) * [-710.453] (-759.382) (-714.873) (-748.458) -- 0:00:31
Average standard deviation of split frequencies: 0.007143
916000 -- (-754.935) (-713.285) [-707.981] (-739.025) * [-711.481] (-753.279) (-713.085) (-750.101) -- 0:00:31
917000 -- (-748.866) [-712.540] (-713.828) (-745.449) * [-711.491] (-755.917) (-707.182) (-755.513) -- 0:00:30
918000 -- (-745.822) [-708.509] (-707.809) (-754.272) * [-704.168] (-757.263) (-712.140) (-754.196) -- 0:00:30
919000 -- (-752.781) (-716.322) [-710.849] (-743.520) * (-709.195) (-750.826) [-712.083] (-746.912) -- 0:00:29
920000 -- (-757.111) [-707.286] (-709.410) (-748.873) * [-712.062] (-751.506) (-719.687) (-744.832) -- 0:00:29
Average standard deviation of split frequencies: 0.006923
921000 -- (-753.934) [-711.015] (-714.885) (-749.190) * (-714.546) (-755.113) [-713.113] (-742.519) -- 0:00:29
922000 -- (-762.138) (-708.552) [-710.169] (-747.130) * [-709.638] (-749.045) (-711.456) (-749.195) -- 0:00:28
923000 -- (-746.149) (-714.032) [-710.025] (-743.708) * [-709.752] (-744.892) (-704.417) (-742.342) -- 0:00:28
924000 -- (-752.053) (-702.182) [-704.716] (-740.765) * [-709.023] (-754.922) (-712.803) (-748.687) -- 0:00:28
925000 -- (-750.086) [-710.261] (-715.164) (-735.349) * (-717.731) (-750.919) [-711.058] (-745.386) -- 0:00:27
Average standard deviation of split frequencies: 0.006921
926000 -- (-755.340) [-711.268] (-714.482) (-749.417) * (-705.343) (-750.632) [-702.396] (-753.941) -- 0:00:27
927000 -- (-751.301) [-710.080] (-712.810) (-751.469) * (-709.528) (-751.008) [-711.912] (-755.665) -- 0:00:27
928000 -- (-742.943) [-707.492] (-711.528) (-744.864) * (-706.599) (-747.719) [-709.767] (-744.976) -- 0:00:26
929000 -- (-741.811) (-708.116) [-711.648] (-743.201) * (-716.694) (-758.163) [-708.750] (-749.828) -- 0:00:26
930000 -- (-742.747) (-711.293) [-706.132] (-739.217) * (-713.983) (-756.134) [-703.414] (-744.344) -- 0:00:25
Average standard deviation of split frequencies: 0.007122
931000 -- (-751.122) (-713.284) [-709.812] (-743.226) * (-715.033) (-757.725) [-702.488] (-744.419) -- 0:00:25
932000 -- (-748.255) (-723.421) [-707.363] (-755.044) * (-715.527) (-740.089) [-714.399] (-745.393) -- 0:00:25
933000 -- (-761.516) (-712.006) [-710.068] (-755.197) * (-721.638) (-744.151) [-713.769] (-746.636) -- 0:00:24
934000 -- (-740.938) (-718.407) [-706.446] (-749.506) * [-705.990] (-744.112) (-713.111) (-753.243) -- 0:00:24
935000 -- (-741.034) [-708.722] (-713.109) (-740.697) * [-714.768] (-750.989) (-722.220) (-762.801) -- 0:00:24
Average standard deviation of split frequencies: 0.007277
936000 -- (-754.351) [-713.858] (-713.707) (-743.304) * (-709.407) (-750.714) [-719.852] (-745.731) -- 0:00:23
937000 -- (-748.601) [-710.326] (-721.256) (-753.655) * (-710.134) (-749.565) [-707.642] (-762.001) -- 0:00:23
938000 -- (-736.546) [-711.611] (-713.265) (-751.876) * [-710.664] (-761.697) (-706.739) (-748.548) -- 0:00:22
939000 -- (-746.660) [-706.242] (-711.217) (-741.138) * (-706.252) (-740.597) [-705.753] (-741.818) -- 0:00:22
940000 -- (-756.974) (-717.324) [-708.059] (-741.371) * [-706.889] (-760.413) (-720.892) (-747.826) -- 0:00:22
Average standard deviation of split frequencies: 0.007106
941000 -- (-753.051) (-718.299) [-706.312] (-747.250) * [-712.315] (-770.524) (-705.383) (-762.960) -- 0:00:21
942000 -- (-747.383) (-714.581) [-709.524] (-744.127) * (-707.281) (-754.634) [-705.991] (-748.825) -- 0:00:21
943000 -- (-743.965) (-715.474) [-712.355] (-745.860) * (-706.442) (-743.629) [-704.396] (-759.393) -- 0:00:21
944000 -- (-746.175) (-717.983) [-702.047] (-744.988) * [-712.554] (-746.268) (-712.371) (-752.221) -- 0:00:20
945000 -- (-748.509) (-706.046) [-706.817] (-748.578) * [-705.551] (-747.699) (-704.121) (-749.131) -- 0:00:20
Average standard deviation of split frequencies: 0.007211
946000 -- (-747.149) [-705.238] (-712.271) (-737.430) * (-708.226) (-762.033) [-715.652] (-751.978) -- 0:00:19
947000 -- (-757.921) [-707.769] (-710.863) (-738.918) * [-704.548] (-751.024) (-708.003) (-754.878) -- 0:00:19
948000 -- (-745.812) [-710.233] (-706.752) (-750.612) * [-705.081] (-754.188) (-712.285) (-750.908) -- 0:00:19
949000 -- (-757.150) (-710.578) [-707.136] (-748.753) * (-723.836) (-761.000) [-713.576] (-750.646) -- 0:00:18
950000 -- (-752.968) [-719.034] (-713.555) (-743.598) * (-716.256) (-748.648) [-711.918] (-746.243) -- 0:00:18
Average standard deviation of split frequencies: 0.007419
951000 -- (-754.918) [-708.967] (-710.782) (-738.576) * (-711.574) (-742.956) [-715.904] (-742.659) -- 0:00:18
952000 -- (-752.576) (-705.280) [-707.101] (-741.603) * [-715.047] (-741.009) (-714.989) (-751.959) -- 0:00:17
953000 -- (-751.015) [-710.223] (-711.369) (-743.428) * (-715.610) (-749.023) [-719.064] (-739.596) -- 0:00:17
954000 -- (-745.583) [-706.562] (-711.141) (-748.968) * (-709.927) (-747.466) [-712.672] (-749.869) -- 0:00:17
955000 -- (-738.451) (-715.425) [-708.880] (-742.632) * [-709.457] (-752.329) (-702.913) (-740.037) -- 0:00:16
Average standard deviation of split frequencies: 0.007346
956000 -- (-747.828) [-709.946] (-707.649) (-743.341) * (-710.439) (-741.489) [-711.989] (-745.166) -- 0:00:16
957000 -- (-758.520) [-710.985] (-716.506) (-745.767) * (-713.438) (-743.921) [-707.202] (-740.416) -- 0:00:15
958000 -- (-744.675) (-718.458) [-711.740] (-750.566) * [-707.065] (-756.944) (-702.149) (-754.103) -- 0:00:15
959000 -- (-747.027) [-711.239] (-711.264) (-740.288) * (-715.085) (-754.762) [-709.611] (-749.600) -- 0:00:15
960000 -- (-747.605) [-702.719] (-731.857) (-744.646) * (-721.643) (-756.932) [-713.626] (-748.017) -- 0:00:14
Average standard deviation of split frequencies: 0.007072
961000 -- (-748.789) (-710.041) [-713.452] (-743.407) * (-718.117) (-750.296) [-715.711] (-750.180) -- 0:00:14
962000 -- (-756.459) [-706.722] (-723.382) (-751.311) * (-712.325) (-761.297) [-714.494] (-743.888) -- 0:00:14
963000 -- (-739.330) (-711.981) [-706.627] (-739.682) * [-706.659] (-764.931) (-713.696) (-746.969) -- 0:00:13
964000 -- (-750.152) [-710.895] (-716.409) (-759.411) * (-712.225) (-753.521) [-707.171] (-754.946) -- 0:00:13
965000 -- (-754.069) [-706.014] (-710.221) (-751.418) * (-719.397) (-753.649) [-710.100] (-757.765) -- 0:00:12
Average standard deviation of split frequencies: 0.007245
966000 -- (-769.375) [-713.497] (-705.734) (-758.387) * [-700.092] (-749.070) (-705.012) (-742.735) -- 0:00:12
967000 -- (-751.732) (-709.702) [-711.858] (-755.822) * (-713.263) (-747.756) [-707.954] (-754.295) -- 0:00:12
968000 -- (-745.715) [-706.364] (-719.151) (-742.642) * [-712.156] (-742.771) (-709.073) (-750.938) -- 0:00:11
969000 -- (-753.601) [-714.717] (-723.783) (-743.723) * (-710.472) (-746.259) [-718.412] (-744.971) -- 0:00:11
970000 -- (-758.370) [-710.097] (-722.775) (-744.649) * [-707.695] (-755.142) (-710.383) (-744.423) -- 0:00:11
Average standard deviation of split frequencies: 0.007323
971000 -- (-754.199) [-708.358] (-710.525) (-741.436) * (-710.175) (-743.730) [-702.206] (-761.919) -- 0:00:10
972000 -- (-755.683) [-703.130] (-716.485) (-755.699) * (-714.163) (-745.663) [-706.178] (-753.111) -- 0:00:10
973000 -- (-768.667) [-708.213] (-713.798) (-741.444) * [-707.157] (-747.548) (-707.211) (-750.222) -- 0:00:09
974000 -- (-752.628) [-714.467] (-704.759) (-737.564) * [-705.092] (-746.633) (-707.826) (-742.258) -- 0:00:09
975000 -- (-757.004) (-712.801) [-707.986] (-744.228) * [-706.507] (-752.867) (-713.598) (-739.986) -- 0:00:09
Average standard deviation of split frequencies: 0.007254
976000 -- (-751.068) [-712.070] (-712.093) (-743.970) * (-715.470) (-758.608) [-707.428] (-750.597) -- 0:00:08
977000 -- (-741.245) [-705.394] (-708.784) (-745.446) * (-706.847) (-750.761) [-710.065] (-741.336) -- 0:00:08
978000 -- (-750.509) (-707.579) [-710.618] (-740.203) * [-713.092] (-753.800) (-711.763) (-753.715) -- 0:00:08
979000 -- (-753.543) (-716.847) [-710.573] (-745.528) * [-718.776] (-746.812) (-716.323) (-754.735) -- 0:00:07
980000 -- (-769.356) (-709.286) [-702.840] (-749.968) * [-714.593] (-752.457) (-713.291) (-742.806) -- 0:00:07
Average standard deviation of split frequencies: 0.007414
981000 -- (-749.414) (-720.579) [-711.082] (-749.343) * [-703.484] (-752.691) (-709.927) (-749.423) -- 0:00:07
982000 -- (-743.505) (-708.708) [-701.301] (-749.914) * (-711.448) (-751.415) [-709.881] (-746.502) -- 0:00:06
983000 -- (-757.877) [-721.107] (-713.178) (-740.184) * (-717.233) (-747.912) [-713.708] (-751.263) -- 0:00:06
984000 -- (-749.124) (-714.618) [-709.766] (-737.582) * (-714.349) (-747.553) [-710.732] (-758.130) -- 0:00:05
985000 -- (-751.341) [-709.232] (-709.642) (-740.217) * (-713.776) (-748.583) [-705.801] (-751.732) -- 0:00:05
Average standard deviation of split frequencies: 0.007623
986000 -- (-751.234) (-713.225) [-708.544] (-739.230) * (-708.042) (-754.063) [-705.860] (-751.252) -- 0:00:05
987000 -- (-749.510) [-705.083] (-707.044) (-739.215) * [-711.747] (-758.708) (-715.493) (-743.243) -- 0:00:04
988000 -- (-740.465) (-706.379) [-711.284] (-739.833) * (-710.623) (-745.281) [-703.081] (-761.505) -- 0:00:04
989000 -- (-752.362) [-707.520] (-712.142) (-738.147) * (-716.579) (-742.623) [-719.118] (-749.479) -- 0:00:04
990000 -- (-743.703) [-702.587] (-711.221) (-737.478) * [-712.659] (-752.938) (-722.367) (-755.281) -- 0:00:03
Average standard deviation of split frequencies: 0.007632
991000 -- (-760.117) [-707.976] (-714.065) (-735.371) * (-711.918) (-746.710) [-713.469] (-743.832) -- 0:00:03
992000 -- (-748.039) [-709.467] (-725.332) (-742.727) * (-715.571) (-751.313) [-712.795] (-753.166) -- 0:00:02
993000 -- (-748.027) (-711.347) [-708.693] (-744.450) * (-715.798) (-745.320) [-711.369] (-740.011) -- 0:00:02
994000 -- (-751.188) [-713.196] (-719.670) (-749.659) * [-717.190] (-743.819) (-708.385) (-740.495) -- 0:00:02
995000 -- (-748.197) (-725.219) [-705.922] (-755.119) * [-706.383] (-761.282) (-722.295) (-740.480) -- 0:00:01
Average standard deviation of split frequencies: 0.007800
996000 -- (-750.618) (-706.079) [-708.303] (-746.155) * [-706.437] (-756.510) (-714.085) (-756.276) -- 0:00:01
997000 -- (-746.420) (-719.069) [-707.256] (-742.374) * [-710.976] (-741.916) (-711.222) (-751.632) -- 0:00:01
998000 -- (-750.156) (-721.280) [-706.479] (-751.259) * [-713.268] (-743.294) (-716.875) (-754.445) -- 0:00:00
999000 -- (-745.718) (-706.422) [-700.445] (-755.963) * (-706.179) (-748.746) [-703.957] (-760.082) -- 0:00:00
1000000 -- (-745.539) (-705.089) [-705.622] (-753.696) * [-708.003] (-758.502) (-715.882) (-748.432) -- 0:00:00
Average standard deviation of split frequencies: 0.007691
Analysis completed in 6 mins 10 seconds
Analysis used 370.32 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -694.94
Likelihood of best state for "cold" chain of run 2 was -697.02
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
60.8 % ( 56 %) Dirichlet(Revmat{all})
82.8 % ( 83 %) Slider(Revmat{all})
34.2 % ( 31 %) Dirichlet(Pi{all})
35.2 % ( 34 %) Slider(Pi{all})
81.5 % ( 64 %) Multiplier(Alpha{1,2})
69.0 % ( 40 %) Multiplier(Alpha{3})
85.0 % ( 58 %) Slider(Pinvar{all})
65.0 % ( 69 %) ExtSPR(Tau{all},V{all})
56.2 % ( 47 %) ExtTBR(Tau{all},V{all})
72.5 % ( 75 %) NNI(Tau{all},V{all})
38.4 % ( 35 %) ParsSPR(Tau{all},V{all})
27.6 % ( 36 %) Multiplier(V{all})
78.6 % ( 74 %) Nodeslider(V{all})
27.7 % ( 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
62.4 % ( 52 %) Dirichlet(Revmat{all})
83.5 % ( 78 %) Slider(Revmat{all})
33.7 % ( 25 %) Dirichlet(Pi{all})
35.5 % ( 25 %) Slider(Pi{all})
80.7 % ( 57 %) Multiplier(Alpha{1,2})
68.5 % ( 45 %) Multiplier(Alpha{3})
83.8 % ( 64 %) Slider(Pinvar{all})
65.3 % ( 62 %) ExtSPR(Tau{all},V{all})
55.9 % ( 50 %) ExtTBR(Tau{all},V{all})
72.2 % ( 73 %) NNI(Tau{all},V{all})
38.2 % ( 43 %) ParsSPR(Tau{all},V{all})
27.7 % ( 30 %) Multiplier(V{all})
78.6 % ( 84 %) Nodeslider(V{all})
27.7 % ( 20 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.22 0.00 0.00
2 | 166649 0.01 0.00
3 | 166050 166775 0.35
4 | 166762 167343 166421
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.23 0.00 0.00
2 | 165778 0.01 0.00
3 | 166622 166784 0.34
4 | 166971 166924 166921
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)
+------------------------------------------------------------+ -706.38
| 1 |
| 1 1 2 1|
| 1 2 1 |
| 2 2 1 22 2 1 2 1 |
| 1 21 2 2 * 1 1 2 2 |
| 1 1 1 1 * 1 1 1 1 2 1 1 1 |
| 2 1 22 2 11 2* 21 2 22 2 * 1 |
| 222 2 2 11 12 * 1 |
| 2 2 122 1 2 2 2 21 1 |
| 1 21 2 2 2 1 1 1 2 2 |
|2 12 11 1 |
| * 1 * 1 |
|1 2 1 12 22 2|
| 1 |
| 1 2 2 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -712.25
^ ^
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 -702.90 -720.79
2 -703.33 -719.12
--------------------------------------
TOTAL -703.10 -720.27
--------------------------------------
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} 0.073981 0.000668 0.034241 0.126576 0.068595 272.67 459.74 1.000
r(A<->C){all} 0.055010 0.002311 0.000029 0.153417 0.041598 108.95 161.71 1.000
r(A<->G){all} 0.369766 0.011384 0.165933 0.564340 0.363531 103.19 168.41 1.000
r(A<->T){all} 0.023808 0.000566 0.000005 0.072963 0.016304 271.76 286.93 1.000
r(C<->G){all} 0.049099 0.002321 0.000040 0.146195 0.035343 161.82 193.96 1.000
r(C<->T){all} 0.455207 0.011701 0.244838 0.665188 0.454168 96.81 146.51 1.001
r(G<->T){all} 0.047110 0.001187 0.000486 0.114443 0.037837 195.98 237.52 1.000
pi(A){all} 0.247282 0.000443 0.207579 0.287478 0.246348 988.80 994.73 1.000
pi(C){all} 0.148842 0.000291 0.115846 0.180663 0.147988 784.41 795.23 1.000
pi(G){all} 0.239627 0.000412 0.202377 0.281141 0.239432 926.52 992.70 1.000
pi(T){all} 0.364250 0.000519 0.321182 0.410043 0.363998 754.78 888.49 1.000
alpha{1,2} 0.357178 0.346454 0.000011 1.581304 0.135514 484.25 519.90 1.000
alpha{3} 1.833959 1.663760 0.064048 4.401365 1.547668 528.35 655.51 1.000
pinvar{all} 0.524498 0.054875 0.064505 0.848532 0.587164 148.61 170.99 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 -- C11
4 -- C12
5 -- C13
6 -- C14
7 -- C15
8 -- C16
9 -- C17
10 -- C18
11 -- C19
12 -- C2
13 -- C20
14 -- C21
15 -- C22
16 -- C23
17 -- C24
18 -- C25
19 -- C26
20 -- C3
21 -- C4
22 -- C5
23 -- C6
24 -- C7
25 -- C8
26 -- C9
Key to taxon bipartitions (saved to file "/data/mrbayes_input.nex.parts"):
ID -- Partition
--------------------------------
1 -- .*************************
2 -- .*........................
3 -- ..*.......................
4 -- ...*......................
5 -- ....*.....................
6 -- .....*....................
7 -- ......*...................
8 -- .......*..................
9 -- ........*.................
10 -- .........*................
11 -- ..........*...............
12 -- ...........*..............
13 -- ............*.............
14 -- .............*............
15 -- ..............*...........
16 -- ...............*..........
17 -- ................*.........
18 -- .................*........
19 -- ..................*.......
20 -- ...................*......
21 -- ....................*.....
22 -- .....................*....
23 -- ......................*...
24 -- .......................*..
25 -- ........................*.
26 -- .........................*
27 -- ...**.**...*...........**.
28 -- ..*..*...*..........*.....
29 -- .*.......................*
30 -- ......*................*..
31 -- ........*.*.*******.......
32 -- .*.**.***.**********.*****
33 -- ........*...*******.......
34 -- .....*...*................
35 -- ..*.................*.....
36 -- ..*......*..........*.....
37 -- ..*..*....................
38 -- .........*..........*.....
39 -- ..*..*...*................
40 -- .....*...*..........*.....
41 -- ..*......*................
42 -- ..*..*..............*.....
43 -- .....*..............*.....
44 -- ....*.**...*...........**.
45 -- ...*..**...*...........**.
46 -- .......*................*.
47 -- ...........*............*.
48 -- ....*..*..................
49 -- ....*...................*.
50 -- ...*....................*.
51 -- ........*.*.*******..*....
52 -- ....*......*..............
53 -- ...................*..*...
54 -- ....*.*................*..
55 -- ...*.......*..............
56 -- ...**.**...*.........*.**.
57 -- ......**...............*..
58 -- ...**.*....*...........**.
59 -- ...**.**...*.......*...**.
60 -- ...**.***.*********....**.
61 -- .*....................*..*
62 -- ...**.....................
63 -- ...**.**...*...........*..
64 -- .......*...*..............
65 -- ...**.**...............**.
66 -- ........*.*.*******...*...
67 -- ......*................**.
68 -- ...................*.*....
69 -- .*.**.**...*...........***
70 -- ......*....*...........*..
71 -- ...**..*...*............*.
72 -- ...*...*..................
73 -- ...*..*................*..
74 -- ...**.***.**********.****.
75 -- .*......*.*.********.**..*
76 -- .*.**.***.**********..****
77 -- .*.................*.....*
78 -- .*......*.*.*******......*
--------------------------------
Summary statistics for informative taxon bipartitions
(saved to file "/data/mrbayes_input.nex.tstat"):
ID #obs Probab. Sd(s)+ Min(s) Max(s) Nruns
----------------------------------------------------------------
27 3002 1.000000 0.000000 1.000000 1.000000 2
28 3001 0.999667 0.000471 0.999334 1.000000 2
29 2872 0.956696 0.010364 0.949367 0.964024 2
30 2799 0.932378 0.014604 0.922052 0.942705 2
31 2730 0.909394 0.002827 0.907395 0.911392 2
32 2489 0.829114 0.013662 0.819454 0.838774 2
33 2154 0.717522 0.018844 0.704197 0.730846 2
34 623 0.207528 0.007066 0.202532 0.212525 2
35 612 0.203864 0.003769 0.201199 0.206529 2
36 606 0.201865 0.008480 0.195869 0.207861 2
37 606 0.201865 0.006595 0.197202 0.206529 2
38 603 0.200866 0.008009 0.195203 0.206529 2
39 601 0.200200 0.014604 0.189873 0.210526 2
40 596 0.198534 0.019786 0.184544 0.212525 2
41 590 0.196536 0.009422 0.189873 0.203198 2
42 588 0.195869 0.000942 0.195203 0.196536 2
43 579 0.192871 0.008951 0.186542 0.199201 2
44 399 0.132911 0.009893 0.125916 0.139907 2
45 349 0.116256 0.011777 0.107928 0.124584 2
46 345 0.114923 0.001413 0.113924 0.115923 2
47 340 0.113258 0.016017 0.101932 0.124584 2
48 339 0.112925 0.015546 0.101932 0.123917 2
49 338 0.112592 0.009422 0.105929 0.119254 2
50 335 0.111592 0.009893 0.104597 0.118588 2
51 335 0.111592 0.009893 0.104597 0.118588 2
52 333 0.110926 0.001413 0.109927 0.111925 2
53 332 0.110593 0.006595 0.105929 0.115256 2
54 329 0.109594 0.009893 0.102598 0.116589 2
55 329 0.109594 0.009893 0.102598 0.116589 2
56 328 0.109260 0.004711 0.105929 0.112592 2
57 326 0.108594 0.004711 0.105263 0.111925 2
58 325 0.108261 0.000471 0.107928 0.108594 2
59 324 0.107928 0.003769 0.105263 0.110593 2
60 324 0.107928 0.004711 0.104597 0.111259 2
61 323 0.107595 0.000471 0.107262 0.107928 2
62 321 0.106929 0.005182 0.103264 0.110593 2
63 321 0.106929 0.008009 0.101266 0.112592 2
64 319 0.106262 0.007066 0.101266 0.111259 2
65 316 0.105263 0.001884 0.103931 0.106596 2
66 315 0.104930 0.009893 0.097935 0.111925 2
67 315 0.104930 0.008009 0.099267 0.110593 2
68 310 0.103264 0.015075 0.092605 0.113924 2
69 310 0.103264 0.003769 0.100600 0.105929 2
70 308 0.102598 0.012248 0.093937 0.111259 2
71 306 0.101932 0.007537 0.096602 0.107262 2
72 305 0.101599 0.003298 0.099267 0.103931 2
73 302 0.100600 0.004711 0.097268 0.103931 2
74 299 0.099600 0.007066 0.094604 0.104597 2
75 297 0.098934 0.004240 0.095936 0.101932 2
76 296 0.098601 0.003769 0.095936 0.101266 2
77 296 0.098601 0.009422 0.091939 0.105263 2
78 287 0.095603 0.009893 0.088608 0.102598 2
----------------------------------------------------------------
+ Convergence diagnostic (standard deviation of split frequencies)
should approach 0.0 as runs converge.
Summary statistics for branch and node parameters
(saved to file "/data/mrbayes_input.nex.vstat"):
95% HPD Interval
--------------------
Parameter Mean Variance Lower Upper Median PSRF+ Nruns
-------------------------------------------------------------------------------------------
length{all}[1] 0.002344 0.000004 0.000015 0.005884 0.001899 1.001 2
length{all}[2] 0.001146 0.000002 0.000000 0.003670 0.000747 1.000 2
length{all}[3] 0.001097 0.000002 0.000000 0.003580 0.000695 1.000 2
length{all}[4] 0.002017 0.000003 0.000005 0.005268 0.001586 1.000 2
length{all}[5] 0.001050 0.000001 0.000000 0.003344 0.000673 1.000 2
length{all}[6] 0.002040 0.000003 0.000023 0.005083 0.001615 1.000 2
length{all}[7] 0.002130 0.000003 0.000058 0.005364 0.001680 1.000 2
length{all}[8] 0.002091 0.000003 0.000037 0.005352 0.001634 1.000 2
length{all}[9] 0.001060 0.000001 0.000000 0.003267 0.000678 1.000 2
length{all}[10] 0.001090 0.000002 0.000002 0.003421 0.000701 1.000 2
length{all}[11] 0.003528 0.000006 0.000267 0.008183 0.002938 1.000 2
length{all}[12] 0.001040 0.000001 0.000000 0.003142 0.000718 1.000 2
length{all}[13] 0.001016 0.000001 0.000001 0.003270 0.000673 1.000 2
length{all}[14] 0.001047 0.000001 0.000000 0.003229 0.000694 1.000 2
length{all}[15] 0.001042 0.000001 0.000000 0.003250 0.000692 1.000 2
length{all}[16] 0.001027 0.000001 0.000000 0.003214 0.000652 1.000 2
length{all}[17] 0.001022 0.000001 0.000000 0.003264 0.000667 1.000 2
length{all}[18] 0.002063 0.000003 0.000037 0.005323 0.001591 1.001 2
length{all}[19] 0.002060 0.000003 0.000049 0.005244 0.001649 1.000 2
length{all}[20] 0.001049 0.000001 0.000000 0.003243 0.000694 1.000 2
length{all}[21] 0.001085 0.000002 0.000000 0.003481 0.000680 1.000 2
length{all}[22] 0.003093 0.000005 0.000194 0.007390 0.002646 1.000 2
length{all}[23] 0.001057 0.000001 0.000000 0.003339 0.000670 1.000 2
length{all}[24] 0.001084 0.000001 0.000000 0.003388 0.000709 1.000 2
length{all}[25] 0.001064 0.000001 0.000000 0.003408 0.000676 1.000 2
length{all}[26] 0.001096 0.000001 0.000000 0.003551 0.000718 1.001 2
length{all}[27] 0.004269 0.000008 0.000557 0.009611 0.003622 1.000 2
length{all}[28] 0.003485 0.000006 0.000359 0.008535 0.002858 1.000 2
length{all}[29] 0.002064 0.000003 0.000013 0.005411 0.001624 1.000 2
length{all}[30] 0.002056 0.000003 0.000009 0.005257 0.001640 1.000 2
length{all}[31] 0.002361 0.000004 0.000041 0.006136 0.001823 1.001 2
length{all}[32] 0.002000 0.000003 0.000011 0.004956 0.001613 1.001 2
length{all}[33] 0.002154 0.000003 0.000021 0.005612 0.001725 1.001 2
length{all}[34] 0.001021 0.000001 0.000001 0.003103 0.000691 1.002 2
length{all}[35] 0.001050 0.000001 0.000003 0.003076 0.000730 1.002 2
length{all}[36] 0.001010 0.000001 0.000000 0.003111 0.000659 0.999 2
length{all}[37] 0.001089 0.000001 0.000003 0.003304 0.000738 1.001 2
length{all}[38] 0.001072 0.000001 0.000001 0.003294 0.000692 1.000 2
length{all}[39] 0.001086 0.000001 0.000001 0.003543 0.000702 0.999 2
length{all}[40] 0.001087 0.000002 0.000000 0.003224 0.000676 0.998 2
length{all}[41] 0.000961 0.000001 0.000000 0.003282 0.000616 0.999 2
length{all}[42] 0.001023 0.000001 0.000001 0.003044 0.000689 1.000 2
length{all}[43] 0.001095 0.000001 0.000001 0.003240 0.000781 1.000 2
length{all}[44] 0.001135 0.000001 0.000001 0.003648 0.000835 1.002 2
length{all}[45] 0.001068 0.000001 0.000001 0.003349 0.000761 1.000 2
length{all}[46] 0.001001 0.000001 0.000003 0.002901 0.000627 0.997 2
length{all}[47] 0.000911 0.000001 0.000000 0.002714 0.000604 1.002 2
length{all}[48] 0.001028 0.000001 0.000002 0.003166 0.000637 1.005 2
length{all}[49] 0.001021 0.000002 0.000006 0.002919 0.000634 1.007 2
length{all}[50] 0.001078 0.000001 0.000004 0.003120 0.000708 0.997 2
length{all}[51] 0.001133 0.000001 0.000006 0.003336 0.000736 1.005 2
length{all}[52] 0.000986 0.000002 0.000001 0.003532 0.000559 1.002 2
length{all}[53] 0.001020 0.000001 0.000009 0.003250 0.000689 0.998 2
length{all}[54] 0.000981 0.000001 0.000004 0.002659 0.000683 0.997 2
length{all}[55] 0.001039 0.000002 0.000003 0.003155 0.000669 0.998 2
length{all}[56] 0.001061 0.000001 0.000002 0.002990 0.000743 0.997 2
length{all}[57] 0.000986 0.000001 0.000001 0.002841 0.000643 1.000 2
length{all}[58] 0.001169 0.000002 0.000001 0.003309 0.000752 1.002 2
length{all}[59] 0.001025 0.000001 0.000003 0.003076 0.000666 0.998 2
length{all}[60] 0.001031 0.000001 0.000001 0.003133 0.000607 0.997 2
length{all}[61] 0.000970 0.000001 0.000001 0.003005 0.000662 0.999 2
length{all}[62] 0.001083 0.000002 0.000000 0.003214 0.000705 0.998 2
length{all}[63] 0.001065 0.000001 0.000001 0.003527 0.000706 1.002 2
length{all}[64] 0.001047 0.000001 0.000003 0.003448 0.000657 0.998 2
length{all}[65] 0.001040 0.000001 0.000001 0.003001 0.000704 0.999 2
length{all}[66] 0.001051 0.000002 0.000002 0.003519 0.000581 0.999 2
length{all}[67] 0.001102 0.000002 0.000005 0.003389 0.000687 0.998 2
length{all}[68] 0.000966 0.000001 0.000000 0.003238 0.000657 1.000 2
length{all}[69] 0.001188 0.000002 0.000005 0.003720 0.000691 0.998 2
length{all}[70] 0.000975 0.000001 0.000005 0.002874 0.000733 1.005 2
length{all}[71] 0.001116 0.000002 0.000001 0.003435 0.000767 0.998 2
length{all}[72] 0.001163 0.000001 0.000011 0.003567 0.000784 0.998 2
length{all}[73] 0.001094 0.000001 0.000000 0.003251 0.000777 0.998 2
length{all}[74] 0.001057 0.000001 0.000010 0.003302 0.000655 0.999 2
length{all}[75] 0.001093 0.000001 0.000002 0.003320 0.000731 0.997 2
length{all}[76] 0.001015 0.000001 0.000000 0.003416 0.000582 0.998 2
length{all}[77] 0.001074 0.000001 0.000007 0.003369 0.000663 0.998 2
length{all}[78] 0.001102 0.000001 0.000000 0.002844 0.000815 0.997 2
-------------------------------------------------------------------------------------------
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge. NA is reported when
deviation of parameter values within all runs is 0 or when a parameter
value (a branch length, for instance) is not sampled in all runs.
Summary statistics for partitions with frequency >= 0.10 in at least one run:
Average standard deviation of split frequencies = 0.007691
Maximum standard deviation of split frequencies = 0.019786
Average PSRF for parameter values (excluding NA and >10.0) = 1.000
Maximum PSRF for parameter values = 1.007
Clade credibility values:
/---------------------------------------------------------------------- C1 (1)
|
| /----------------- C11 (3)
| |
| |----------------- C14 (6)
|-------------------------100------------------------+
| |----------------- C18 (10)
| |
| \----------------- C4 (21)
|
| /----------------- C10 (2)
| /----------------96----------------+
| | \----------------- C9 (26)
| |
| | /----------------------------------- C12 (4)
| | |
+ | |----------------------------------- C13 (5)
| | |
| | | /----------------- C15 (7)
| | |--------93-------+
| |-------100------+ \----------------- C7 (24)
| | |
| | |----------------------------------- C16 (8)
| | |
| | |----------------------------------- C2 (12)
| | |
| | \----------------------------------- C8 (25)
| |
| | /----------------- C17 (9)
| | |
| | |----------------- C20 (13)
\--------83-------+ |
| |----------------- C21 (14)
| |
| |----------------- C22 (15)
| /--------72-------+
| | |----------------- C23 (16)
| | |
| | |----------------- C24 (17)
| | |
|-------91-------+ |----------------- C25 (18)
| | |
| | \----------------- C26 (19)
| |
| \----------------------------------- C19 (11)
|
|---------------------------------------------------- C3 (20)
|
|---------------------------------------------------- C5 (22)
|
\---------------------------------------------------- C6 (23)
Phylogram (based on average branch lengths):
/---------------- C1 (1)
|
| /----- C11 (3)
| |
| |------------- C14 (6)
|-----------------------+
| |------ C18 (10)
| |
| \----- C4 (21)
|
| /------ C10 (2)
| /-------------+
| | \------ C9 (26)
| |
| | /-------------- C12 (4)
| | |
+ | |------ C13 (5)
| | |
| | | /-------------- C15 (7)
| | |-------------+
| |-----------------------------+ \------ C7 (24)
| | |
| | |-------------- C16 (8)
| | |
| | |------ C2 (12)
| | |
| | \------ C8 (25)
| |
| | /----- C17 (9)
| | |
| | |----- C20 (13)
\------------+ |
| |------ C21 (14)
| |
| |------ C22 (15)
| /-------------+
| | |----- C23 (16)
| | |
| | |----- C24 (17)
| | |
|---------------+ |------------- C25 (18)
| | |
| | \-------------- C26 (19)
| |
| \------------------------ C19 (11)
|
|------ C3 (20)
|
|---------------------- C5 (22)
|
\------ C6 (23)
|-------| 0.001 expected changes per site
Calculating tree probabilities...
Credible sets of trees (3002 trees sampled):
50 % credible set contains 1501 trees
90 % credible set contains 2702 trees
95 % credible set contains 2852 trees
99 % credible set contains 2972 trees
Exiting mrbayes block
Reached end of file
Tasks completed, exiting program because mode is noninteractive
To return control to the command line after completion of file processing,
set mode to interactive with 'mb -i <filename>' (i is for interactive)
or use 'set mode=interactive'
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,(C11,C14,C18,C4),((C10,C9),(C12,C13,(C15,C7),C16,C2,C8),((C17,C20,C21,C22,C23,C24,C25,C26),C19),C3,C5,C6))`
>Would you like to use it (y/n)?
>Loaded a multiple sequence alignment with **26** sequences, **135** codons, and **1** partitions from `/data//pss_subsets/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result/original_alignment/fubar/results/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result.1/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result.1.fna`
> FUBAR will write cache and result files to _/data//pss_subsets/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result/original_alignment/fubar/results/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result.1/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result.1.fna.FUBAR.cache_ and _/data//pss_subsets/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result/original_alignment/fubar/results/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result.1/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.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) = -684.63, AIC-c = 1451.60 (41 estimated parameters)
* Tree length (expected substitutions/site) for partition 1 : 0.052
### 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 = 0.071
* 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
----
## FUBAR inferred no sites under subject to positive selection at posterior probability >= 0.9
CLUSTAL FORMAT for T-COFFEE Version_12.00.7fb08c2 [http://www.tcoffee.org] [MODE: ], CPU=0.09 sec, SCORE=1000, Nseq=26, Len=135
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
NL63_DEN_2005_1062_PP1ab_VIPR_ALG1_380710266_11966_12370_1_2005_04_12_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
NL63_DEN_2005_1862_PP1ab_VIPR_ALG1_380710274_11966_12370_1_2005_11_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
NL63_DEN_2005_1876_PP1ab_VIPR_ALG1_380710282_11966_12370_1_2005_11_21_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPISNCIKMLSNGAG
NL63_DEN_2005_193_PP1ab_VIPR_ALG1_380710224_11966_12370_1_2005_01_11_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
NL63_DEN_2005_235_PP1ab_VIPR_ALG1_380710240_11951_12355_1_2005_01_19_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
NL63_DEN_2005_232_PP1ab_VIPR_ALG1_380710232_11951_12355_1_2005_01_18_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
NL63_DEN_2005_271_PP1ab_VIPR_ALG1_380710248_11966_12370_1_2005_01_23_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL630 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL631 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL632 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL633 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL634 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL635 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL636 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL637 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL638 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL639 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL630 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL631 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL632 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL633 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL634 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL635 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL636 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
*************************************:************
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
NL63_DEN_2005_1062_PP1ab_VIPR_ALG1_380710266_11966_12370_1_2005_04_12_USA_Human_Human_coronavirus_NL63 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
NL63_DEN_2005_1862_PP1ab_VIPR_ALG1_380710274_11966_12370_1_2005_11_USA_Human_Human_coronavirus_NL63 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
NL63_DEN_2005_1876_PP1ab_VIPR_ALG1_380710282_11966_12370_1_2005_11_21_USA_Human_Human_coronavirus_NL63 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
NL63_DEN_2005_193_PP1ab_VIPR_ALG1_380710224_11966_12370_1_2005_01_11_USA_Human_Human_coronavirus_NL63 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
NL63_DEN_2005_235_PP1ab_VIPR_ALG1_380710240_11951_12355_1_2005_01_19_USA_Human_Human_coronavirus_NL63 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
NL63_DEN_2005_232_PP1ab_VIPR_ALG1_380710232_11951_12355_1_2005_01_18_USA_Human_Human_coronavirus_NL63 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
NL63_DEN_2005_271_PP1ab_VIPR_ALG1_380710248_11966_12370_1_2005_01_23_USA_Human_Human_coronavirus_NL63 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL630 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL631 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL632 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL633 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL634 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL635 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL636 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL637 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL638 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL639 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL630 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL631 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL632 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL633 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL634 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL635 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL636 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
**************************************************
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
NL63_DEN_2005_1062_PP1ab_VIPR_ALG1_380710266_11966_12370_1_2005_04_12_USA_Human_Human_coronavirus_NL63 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
NL63_DEN_2005_1862_PP1ab_VIPR_ALG1_380710274_11966_12370_1_2005_11_USA_Human_Human_coronavirus_NL63 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
NL63_DEN_2005_1876_PP1ab_VIPR_ALG1_380710282_11966_12370_1_2005_11_21_USA_Human_Human_coronavirus_NL63 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
NL63_DEN_2005_193_PP1ab_VIPR_ALG1_380710224_11966_12370_1_2005_01_11_USA_Human_Human_coronavirus_NL63 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
NL63_DEN_2005_235_PP1ab_VIPR_ALG1_380710240_11951_12355_1_2005_01_19_USA_Human_Human_coronavirus_NL63 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
NL63_DEN_2005_232_PP1ab_VIPR_ALG1_380710232_11951_12355_1_2005_01_18_USA_Human_Human_coronavirus_NL63 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
NL63_DEN_2005_271_PP1ab_VIPR_ALG1_380710248_11966_12370_1_2005_01_23_USA_Human_Human_coronavirus_NL63 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL630 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL631 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL632 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL633 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL634 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL635 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL636 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL637 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL638 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL639 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL630 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL631 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL632 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL633 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL634 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL635 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL636 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
***********************************
>Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACTACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAGGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCATCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACTACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGCTGGTTGGGACATGGATGTGCTTGTGACCGTACAACTATTCAA >NL63_DEN_2005_1062_PP1ab_VIPR_ALG1_380710266_11966_12370_1_2005_04_12_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACTACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_DEN_2005_1862_PP1ab_VIPR_ALG1_380710274_11966_12370_1_2005_11_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCGGTTGATCCAGCAACTACTTACTTGGAGGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCATCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_DEN_2005_1876_PP1ab_VIPR_ALG1_380710282_11966_12370_1_2005_11_21_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACTACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTATAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCTCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_DEN_2005_193_PP1ab_VIPR_ALG1_380710224_11966_12370_1_2005_01_11_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACTACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_DEN_2005_235_PP1ab_VIPR_ALG1_380710240_11951_12355_1_2005_01_19_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACTACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGAGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGCTGGTTGGGACATGGATGTGCTTGTGACCGTACAACTATTCAA >NL63_DEN_2005_232_PP1ab_VIPR_ALG1_380710232_11951_12355_1_2005_01_18_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACTACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGCTGGTTGGGACATGGATGTGCTTGTGACCGTACAACTATTCAA >NL63_DEN_2005_271_PP1ab_VIPR_ALG1_380710248_11966_12370_1_2005_01_23_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACTACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGGGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_DEN_2005_347_PP1ab_VIPR_ALG1_380710256_11966_12370_1_2005_02_01_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACTACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGGGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_DEN_2008_16_PP1ab_VIPR_ALG1_380710208_11966_12370_1_2008_01_08_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCGGTTGATCCAGCAACTACTTACTTGGAGGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCATCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_DEN_2009_14_PP1ab_VIPR_ALG1_380710192_11951_12355_1_2009_03_01_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTCTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACTACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGCTGGTTGGGACATGGATGTGCTTGTGACCGTACAACTATTCAA >NL63_DEN_2009_15_PP1ab_VIPR_ALG1_380710200_11951_12355_1_2009_02_13_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACTACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGCTGGTTGGGACATGGATGTGCTTGTGACCGTACAACTATTCAA >NL63_DEN_2009_20_PP1ab_VIPR_ALG1_380710216_11966_12370_1_2009_03_12_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCGGTTGATCCAGCAACTACTTACTTGGAGGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCATCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTAGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_DEN_2009_9_PP1ab_VIPR_ALG1_380710184_11951_12355_1_2009_03_16_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACTACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGAGCTCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGCTGGTTGGGACATGGATGTGCTTGTGACCGTACAACTATTCAA >NL63_human_USA_0111_25_2001_Pp1ab_VIPR_ALG1_530802127_11931_12335_1_2001_11_21_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACTACTTATTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGCTGGTTGGGACATGGATGTGCTTGTGACCGTACAACTATTCAA >NL63_human_USA_838_9_1983_Pp1ab_VIPR_ALG1_530802111_11946_12350_1_1983_08_16_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACCACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATCAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCGGTTGATCCAGCAACTACTTACTTGGAGGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCATCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_human_USA_8712_17_1987_Pp1ab_VIPR_ALG1_530802079_11937_12341_1_1987_12_16_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACCACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAACGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCATGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_human_USA_891_4_1989_Pp1ab_VIPR_ALG1_530802143_11946_12350_1_1989_01_03_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACCACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATCAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_human_USA_901_24_1990_Pp1ab_VIPR_ALG1_530802119_11946_12350_1_1990_01_05_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACCACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATCAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_human_USA_891_6_1989_Pp1ab_VIPR_ALG1_530802095_11946_12350_1_1989_01_05_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACCACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATCAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_human_USA_903_28_1990_Pp1ab_VIPR_ALG1_530802103_11946_12350_1_1990_03_21_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACCACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATCAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_human_USA_904_20_1990_Pp1ab_VIPR_ALG1_530802063_11946_12350_1_1990_04_26_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACCACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATCAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_human_USA_911_56_1991_Pp1ab_VIPR_ALG1_530802087_11946_12350_1_1991_01_24_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACCACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGACGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATCAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_human_USA_905_25_1990_Pp1ab_VIPR_ALG1_530802135_11946_12350_1_1990_05_29_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCGGCAACCACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATCAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA
>Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_DEN_2005_1062_PP1ab_VIPR_ALG1_380710266_11966_12370_1_2005_04_12_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_DEN_2005_1862_PP1ab_VIPR_ALG1_380710274_11966_12370_1_2005_11_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_DEN_2005_1876_PP1ab_VIPR_ALG1_380710282_11966_12370_1_2005_11_21_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPISNCIKMLSNGAG NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_DEN_2005_193_PP1ab_VIPR_ALG1_380710224_11966_12370_1_2005_01_11_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_DEN_2005_235_PP1ab_VIPR_ALG1_380710240_11951_12355_1_2005_01_19_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_DEN_2005_232_PP1ab_VIPR_ALG1_380710232_11951_12355_1_2005_01_18_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_DEN_2005_271_PP1ab_VIPR_ALG1_380710248_11966_12370_1_2005_01_23_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_DEN_2005_347_PP1ab_VIPR_ALG1_380710256_11966_12370_1_2005_02_01_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_DEN_2008_16_PP1ab_VIPR_ALG1_380710208_11966_12370_1_2008_01_08_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_DEN_2009_14_PP1ab_VIPR_ALG1_380710192_11951_12355_1_2009_03_01_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_DEN_2009_15_PP1ab_VIPR_ALG1_380710200_11951_12355_1_2009_02_13_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_DEN_2009_20_PP1ab_VIPR_ALG1_380710216_11966_12370_1_2009_03_12_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_DEN_2009_9_PP1ab_VIPR_ALG1_380710184_11951_12355_1_2009_03_16_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_human_USA_0111_25_2001_Pp1ab_VIPR_ALG1_530802127_11931_12335_1_2001_11_21_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_human_USA_838_9_1983_Pp1ab_VIPR_ALG1_530802111_11946_12350_1_1983_08_16_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_human_USA_8712_17_1987_Pp1ab_VIPR_ALG1_530802079_11937_12341_1_1987_12_16_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_human_USA_891_4_1989_Pp1ab_VIPR_ALG1_530802143_11946_12350_1_1989_01_03_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_human_USA_901_24_1990_Pp1ab_VIPR_ALG1_530802119_11946_12350_1_1990_01_05_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_human_USA_891_6_1989_Pp1ab_VIPR_ALG1_530802095_11946_12350_1_1989_01_05_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_human_USA_903_28_1990_Pp1ab_VIPR_ALG1_530802103_11946_12350_1_1990_03_21_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_human_USA_904_20_1990_Pp1ab_VIPR_ALG1_530802063_11946_12350_1_1990_04_26_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_human_USA_911_56_1991_Pp1ab_VIPR_ALG1_530802087_11946_12350_1_1991_01_24_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_human_USA_905_25_1990_Pp1ab_VIPR_ALG1_530802135_11946_12350_1_1990_05_29_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
Reading sequence file /data//pss_subsets/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result/original_alignment/fubar/fasta/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result.1
Found 26 sequences of length 405
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 1.0%
Found 11 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 2
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 13 polymorphic sites
**p-Value(s)**
----------
NSS: 2.98e-01 (1000 permutations)
Max Chi^2: 6.02e-01 (1000 permutations)
PHI (Permutation): 9.24e-01 (1000 permutations)
PHI (Normal): 7.73e-01
#NEXUS
[ID: 3893300385]
begin taxa;
dimensions ntax=26;
taxlabels
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL63
NL63_DEN_2005_347_PP1ab_VIPR_ALG1_380710256_11966_12370_1_2005_02_01_USA_Human_Human_coronavirus_NL63
NL63_DEN_2008_16_PP1ab_VIPR_ALG1_380710208_11966_12370_1_2008_01_08_USA_Human_Human_coronavirus_NL63
NL63_DEN_2009_14_PP1ab_VIPR_ALG1_380710192_11951_12355_1_2009_03_01_USA_Human_Human_coronavirus_NL63
NL63_DEN_2009_15_PP1ab_VIPR_ALG1_380710200_11951_12355_1_2009_02_13_USA_Human_Human_coronavirus_NL63
NL63_DEN_2009_20_PP1ab_VIPR_ALG1_380710216_11966_12370_1_2009_03_12_USA_Human_Human_coronavirus_NL63
NL63_DEN_2009_9_PP1ab_VIPR_ALG1_380710184_11951_12355_1_2009_03_16_USA_Human_Human_coronavirus_NL63
NL63_human_USA_0111_25_2001_Pp1ab_VIPR_ALG1_530802127_11931_12335_1_2001_11_21_USA_Human_Human_coronavirus_NL63
NL63_human_USA_838_9_1983_Pp1ab_VIPR_ALG1_530802111_11946_12350_1_1983_08_16_USA_Human_Human_coronavirus_NL63
NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63
NL63_human_USA_8712_17_1987_Pp1ab_VIPR_ALG1_530802079_11937_12341_1_1987_12_16_USA_Human_Human_coronavirus_NL63
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL63
NL63_human_USA_891_4_1989_Pp1ab_VIPR_ALG1_530802143_11946_12350_1_1989_01_03_USA_Human_Human_coronavirus_NL63
NL63_human_USA_901_24_1990_Pp1ab_VIPR_ALG1_530802119_11946_12350_1_1990_01_05_USA_Human_Human_coronavirus_NL63
NL63_human_USA_891_6_1989_Pp1ab_VIPR_ALG1_530802095_11946_12350_1_1989_01_05_USA_Human_Human_coronavirus_NL63
NL63_human_USA_903_28_1990_Pp1ab_VIPR_ALG1_530802103_11946_12350_1_1990_03_21_USA_Human_Human_coronavirus_NL63
NL63_human_USA_904_20_1990_Pp1ab_VIPR_ALG1_530802063_11946_12350_1_1990_04_26_USA_Human_Human_coronavirus_NL63
NL63_human_USA_911_56_1991_Pp1ab_VIPR_ALG1_530802087_11946_12350_1_1991_01_24_USA_Human_Human_coronavirus_NL63
NL63_human_USA_905_25_1990_Pp1ab_VIPR_ALG1_530802135_11946_12350_1_1990_05_29_USA_Human_Human_coronavirus_NL63
NL63_DEN_2005_1062_PP1ab_VIPR_ALG1_380710266_11966_12370_1_2005_04_12_USA_Human_Human_coronavirus_NL63
NL63_DEN_2005_1862_PP1ab_VIPR_ALG1_380710274_11966_12370_1_2005_11_USA_Human_Human_coronavirus_NL63
NL63_DEN_2005_1876_PP1ab_VIPR_ALG1_380710282_11966_12370_1_2005_11_21_USA_Human_Human_coronavirus_NL63
NL63_DEN_2005_193_PP1ab_VIPR_ALG1_380710224_11966_12370_1_2005_01_11_USA_Human_Human_coronavirus_NL63
NL63_DEN_2005_235_PP1ab_VIPR_ALG1_380710240_11951_12355_1_2005_01_19_USA_Human_Human_coronavirus_NL63
NL63_DEN_2005_232_PP1ab_VIPR_ALG1_380710232_11951_12355_1_2005_01_18_USA_Human_Human_coronavirus_NL63
NL63_DEN_2005_271_PP1ab_VIPR_ALG1_380710248_11966_12370_1_2005_01_23_USA_Human_Human_coronavirus_NL63
;
end;
begin trees;
translate
1 Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL63,
2 NL63_DEN_2005_347_PP1ab_VIPR_ALG1_380710256_11966_12370_1_2005_02_01_USA_Human_Human_coronavirus_NL63,
3 NL63_DEN_2008_16_PP1ab_VIPR_ALG1_380710208_11966_12370_1_2008_01_08_USA_Human_Human_coronavirus_NL63,
4 NL63_DEN_2009_14_PP1ab_VIPR_ALG1_380710192_11951_12355_1_2009_03_01_USA_Human_Human_coronavirus_NL63,
5 NL63_DEN_2009_15_PP1ab_VIPR_ALG1_380710200_11951_12355_1_2009_02_13_USA_Human_Human_coronavirus_NL63,
6 NL63_DEN_2009_20_PP1ab_VIPR_ALG1_380710216_11966_12370_1_2009_03_12_USA_Human_Human_coronavirus_NL63,
7 NL63_DEN_2009_9_PP1ab_VIPR_ALG1_380710184_11951_12355_1_2009_03_16_USA_Human_Human_coronavirus_NL63,
8 NL63_human_USA_0111_25_2001_Pp1ab_VIPR_ALG1_530802127_11931_12335_1_2001_11_21_USA_Human_Human_coronavirus_NL63,
9 NL63_human_USA_838_9_1983_Pp1ab_VIPR_ALG1_530802111_11946_12350_1_1983_08_16_USA_Human_Human_coronavirus_NL63,
10 NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63,
11 NL63_human_USA_8712_17_1987_Pp1ab_VIPR_ALG1_530802079_11937_12341_1_1987_12_16_USA_Human_Human_coronavirus_NL63,
12 Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL63,
13 NL63_human_USA_891_4_1989_Pp1ab_VIPR_ALG1_530802143_11946_12350_1_1989_01_03_USA_Human_Human_coronavirus_NL63,
14 NL63_human_USA_901_24_1990_Pp1ab_VIPR_ALG1_530802119_11946_12350_1_1990_01_05_USA_Human_Human_coronavirus_NL63,
15 NL63_human_USA_891_6_1989_Pp1ab_VIPR_ALG1_530802095_11946_12350_1_1989_01_05_USA_Human_Human_coronavirus_NL63,
16 NL63_human_USA_903_28_1990_Pp1ab_VIPR_ALG1_530802103_11946_12350_1_1990_03_21_USA_Human_Human_coronavirus_NL63,
17 NL63_human_USA_904_20_1990_Pp1ab_VIPR_ALG1_530802063_11946_12350_1_1990_04_26_USA_Human_Human_coronavirus_NL63,
18 NL63_human_USA_911_56_1991_Pp1ab_VIPR_ALG1_530802087_11946_12350_1_1991_01_24_USA_Human_Human_coronavirus_NL63,
19 NL63_human_USA_905_25_1990_Pp1ab_VIPR_ALG1_530802135_11946_12350_1_1990_05_29_USA_Human_Human_coronavirus_NL63,
20 NL63_DEN_2005_1062_PP1ab_VIPR_ALG1_380710266_11966_12370_1_2005_04_12_USA_Human_Human_coronavirus_NL63,
21 NL63_DEN_2005_1862_PP1ab_VIPR_ALG1_380710274_11966_12370_1_2005_11_USA_Human_Human_coronavirus_NL63,
22 NL63_DEN_2005_1876_PP1ab_VIPR_ALG1_380710282_11966_12370_1_2005_11_21_USA_Human_Human_coronavirus_NL63,
23 NL63_DEN_2005_193_PP1ab_VIPR_ALG1_380710224_11966_12370_1_2005_01_11_USA_Human_Human_coronavirus_NL63,
24 NL63_DEN_2005_235_PP1ab_VIPR_ALG1_380710240_11951_12355_1_2005_01_19_USA_Human_Human_coronavirus_NL63,
25 NL63_DEN_2005_232_PP1ab_VIPR_ALG1_380710232_11951_12355_1_2005_01_18_USA_Human_Human_coronavirus_NL63,
26 NL63_DEN_2005_271_PP1ab_VIPR_ALG1_380710248_11966_12370_1_2005_01_23_USA_Human_Human_coronavirus_NL63
;
[Note: This tree contains information on the topology,
branch lengths (if present), and the probability
of the partition indicated by the branch.]
tree con_50_majrule = (1:1.898829e-03,(3:6.954076e-04,6:1.614633e-03,10:7.005676e-04,21:6.801634e-04)1.000:2.857583e-03,((2:7.471262e-04,26:7.181877e-04)0.957:1.623942e-03,(4:1.585946e-03,5:6.725137e-04,(7:1.680214e-03,24:7.091559e-04)0.932:1.640252e-03,8:1.634134e-03,12:7.175030e-04,25:6.761053e-04)1.000:3.621862e-03,((9:6.781496e-04,13:6.734583e-04,14:6.938523e-04,15:6.918416e-04,16:6.519506e-04,17:6.672092e-04,18:1.590621e-03,19:1.648824e-03)0.718:1.724652e-03,11:2.937623e-03)0.909:1.823115e-03,20:6.940347e-04,22:2.646251e-03,23:6.702802e-04)0.829:1.612814e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:1.898829e-03,(3:6.954076e-04,6:1.614633e-03,10:7.005676e-04,21:6.801634e-04):2.857583e-03,((2:7.471262e-04,26:7.181877e-04):1.623942e-03,(4:1.585946e-03,5:6.725137e-04,(7:1.680214e-03,24:7.091559e-04):1.640252e-03,8:1.634134e-03,12:7.175030e-04,25:6.761053e-04):3.621862e-03,((9:6.781496e-04,13:6.734583e-04,14:6.938523e-04,15:6.918416e-04,16:6.519506e-04,17:6.672092e-04,18:1.590621e-03,19:1.648824e-03):1.724652e-03,11:2.937623e-03):1.823115e-03,20:6.940347e-04,22:2.646251e-03,23:6.702802e-04):1.612814e-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 -703.19 -723.49
2 -702.62 -720.98
--------------------------------------
TOTAL -702.86 -722.88
--------------------------------------
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} 0.071554 0.000609 0.031372 0.118848 0.066702 249.66 460.50 1.000
r(A<->C){all} 0.047443 0.002108 0.000061 0.143547 0.033003 205.65 222.70 1.000
r(A<->G){all} 0.369725 0.010883 0.185455 0.579342 0.364672 78.63 79.24 1.000
r(A<->T){all} 0.022129 0.000465 0.000005 0.065063 0.016177 390.71 434.83 1.000
r(C<->G){all} 0.049648 0.002419 0.000040 0.151526 0.033923 131.48 133.52 1.000
r(C<->T){all} 0.463129 0.011066 0.264417 0.663237 0.460671 90.18 138.37 1.001
r(G<->T){all} 0.047927 0.001087 0.000412 0.111007 0.041068 289.98 336.23 1.002
pi(A){all} 0.248161 0.000474 0.206170 0.291312 0.248059 1012.21 1025.36 1.001
pi(C){all} 0.148911 0.000288 0.117113 0.182207 0.148354 940.43 983.96 1.000
pi(G){all} 0.239452 0.000427 0.198005 0.277497 0.238743 738.75 918.08 1.000
pi(T){all} 0.363475 0.000550 0.315593 0.407617 0.363062 900.82 942.57 1.003
alpha{1,2} 0.400466 0.438994 0.000468 1.712459 0.151900 406.44 423.74 1.000
alpha{3} 1.791556 1.558223 0.001470 4.200368 1.537731 569.28 775.92 1.000
pinvar{all} 0.513429 0.054434 0.067314 0.849455 0.565450 250.71 260.79 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,(C11,C14,C18,C4),((C10,C9),(C12,C13,(C15,C7),C16,C2,C8),((C17,C20,C21,C22,C23,C24,C25,C26),C19),C3,C5,C6))` >Would you like to use it (y/n)? >Loaded a multiple sequence alignment with **26** sequences, **135** codons, and **1** partitions from `/data//pss_subsets/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result/original_alignment/fubar/results/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result.1/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result.1.fna` > FUBAR will write cache and result files to _/data//pss_subsets/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result/original_alignment/fubar/results/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result.1/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result.1.fna.FUBAR.cache_ and _/data//pss_subsets/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result/original_alignment/fubar/results/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result.1/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.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) = -684.63, AIC-c = 1451.60 (41 estimated parameters) * Tree length (expected substitutions/site) for partition 1 : 0.052 ### 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 = 0.071 * 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 ---- ## FUBAR inferred no sites under subject to positive selection at posterior probability >= 0.9
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
