--- 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 -797.17 -839.79
2 -799.19 -834.06
--------------------------------------
TOTAL -797.74 -839.10
--------------------------------------
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} 0.625090 0.009972 0.450834 0.826889 0.616595 1118.23 1141.12 1.000
r(A<->C){all} 0.118538 0.001743 0.042614 0.201875 0.115312 561.90 580.62 1.000
r(A<->G){all} 0.349618 0.003786 0.234982 0.477647 0.348056 442.23 492.09 1.001
r(A<->T){all} 0.082693 0.000633 0.039826 0.135408 0.079446 695.58 707.90 1.000
r(C<->G){all} 0.057952 0.001396 0.000984 0.128877 0.051685 317.78 385.54 1.001
r(C<->T){all} 0.334969 0.003871 0.223381 0.463935 0.332549 419.55 428.03 1.000
r(G<->T){all} 0.056231 0.000703 0.011966 0.110081 0.052500 625.52 646.37 1.001
pi(A){all} 0.290273 0.000699 0.237966 0.340017 0.290677 885.86 953.84 1.000
pi(C){all} 0.172348 0.000458 0.130792 0.213566 0.171984 937.67 971.73 1.000
pi(G){all} 0.154383 0.000430 0.115777 0.197246 0.153665 883.85 956.49 1.001
pi(T){all} 0.382995 0.000873 0.324079 0.438182 0.383014 907.27 942.53 1.000
alpha{1,2} 0.581751 0.172991 0.159159 1.327740 0.468631 912.88 933.08 1.000
alpha{3} 2.606183 1.609897 0.698327 5.058081 2.335589 1365.20 1367.83 1.000
pinvar{all} 0.122708 0.007913 0.000063 0.290919 0.104895 965.80 1035.83 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 Fri Nov 04 00:59:53 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E.result--
CLUSTAL FORMAT for T-COFFEE Version_12.00.7fb08c2 [http://www.tcoffee.org] [MODE: ], CPU=0.07 sec, SCORE=1000, Nseq=43, Len=77
C1 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C2 MFLKLVDDHALVVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C3 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C4 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C5 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C6 MFLKLVDDHALVVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C7 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C8 MFLKLVDDHAIIVNVILWLIVLLVVLLICITLIKLIKLCFTCHMFCSRTV
C9 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTV
C10 MFLKLVDDHAIIVNVLLWLIVLLVVLLICITLIKLIKLCFTCHMFCSRTV
C11 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTV
C12 MFLKLVDDHALVVNVLLWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
C13 MFLKLVDDHALVVNVLLWCVVLIVVLLVCITIIKLIKLCFTCHMFCNRTV
C14 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
C15 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTV
C16 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
C17 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
C18 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
C19 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
C20 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTF
C21 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C22 MFLKLVDDHALIVNVLIWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C23 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C24 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C25 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C26 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C27 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C28 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C29 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C30 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C31 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C32 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C33 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C34 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C35 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C36 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C37 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C38 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C39 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C40 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C41 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C42 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C43 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
**********::***::* :**:*:**:***:**************.:*.
C1 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C2 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C3 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C4 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C5 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C6 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C7 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C8 YDPVRNAYHIYQSYMHIDPFPK-FPDV
C9 YGPIKNVYHIYQSYMHIDPFPRQIIDV
C10 YNPVRNAYHIYQSYMHIDPFPT--FDV
C11 YGPIKNVYHIYQSYMHIDPFPTQIIDV
C12 YGPIKNVYHIYQSYMHIDPFPKQVISV
C13 YGPIKNVYHIYQSYMHIDPFPKQIIDV
C14 YGPIKNVYHIYQSYMHIDPFPRQIIDV
C15 YGPIKNVYHIYQSYMHIDPFPRQIIDV
C16 YGPIKNVYHIYQSYMHIDPFPRQIIDV
C17 YGPIKNVYHIYQSYMHIDPFPRQIIDV
C18 YGPIKNVYHIYQSYMHIDPFPRQIIDV
C19 YGPIKNVYHIYQSYMHIDPFPRQIIDV
C20 YGPIKNVYHIYQSYMHIDPFPRQIIDV
C21 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C22 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C23 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C24 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C25 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C26 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C27 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C28 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C29 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C30 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C31 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C32 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C33 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C34 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C35 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C36 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C37 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C38 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C39 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C40 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C41 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C42 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C43 YGPIKNVYHIYQSYMHIDPFPRQIIDV
*.*::*.************** ..
-- Starting log on Fri Nov 04 01:00:39 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E.result--
CLUSTAL FORMAT for T-COFFEE Version_12.00.7fb08c2 [http://www.tcoffee.org] [MODE: ], CPU=0.19 sec, SCORE=996, Nseq=43, Len=77
C1 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C2 MFLKLVDDHALVVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C3 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C4 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C5 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C6 MFLKLVDDHALVVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C7 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C8 MFLKLVDDHAIIVNVILWLIVLLVVLLICITLIKLIKLCFTCHMFCSRTV
C9 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTV
C10 MFLKLVDDHAIIVNVLLWLIVLLVVLLICITLIKLIKLCFTCHMFCSRTV
C11 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTV
C12 MFLKLVDDHALVVNVLLWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
C13 MFLKLVDDHALVVNVLLWCVVLIVVLLVCITIIKLIKLCFTCHMFCNRTV
C14 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
C15 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTV
C16 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
C17 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
C18 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
C19 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
C20 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTF
C21 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C22 MFLKLVDDHALIVNVLIWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C23 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C24 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C25 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C26 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C27 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C28 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C29 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C30 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C31 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C32 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C33 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C34 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C35 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C36 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C37 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C38 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C39 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C40 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C41 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C42 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C43 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
**********::***::* :**:*:**:***:**************.:*.
C1 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C2 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C3 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C4 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C5 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C6 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C7 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C8 YDPVRNAYHIYQSYMHIDPFPK-FPDV
C9 YGPIKNVYHIYQSYMHIDPFPRQIIDV
C10 YNPVRNAYHIYQSYMHIDPFPT--FDV
C11 YGPIKNVYHIYQSYMHIDPFPTQIIDV
C12 YGPIKNVYHIYQSYMHIDPFPKQVISV
C13 YGPIKNVYHIYQSYMHIDPFPKQIIDV
C14 YGPIKNVYHIYQSYMHIDPFPRQIIDV
C15 YGPIKNVYHIYQSYMHIDPFPRQIIDV
C16 YGPIKNVYHIYQSYMHIDPFPRQIIDV
C17 YGPIKNVYHIYQSYMHIDPFPRQIIDV
C18 YGPIKNVYHIYQSYMHIDPFPRQIIDV
C19 YGPIKNVYHIYQSYMHIDPFPRQIIDV
C20 YGPIKNVYHIYQSYMHIDPFPRQIIDV
C21 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C22 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C23 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C24 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C25 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C26 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C27 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C28 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C29 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C30 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C31 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C32 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C33 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C34 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C35 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C36 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C37 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C38 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C39 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C40 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C41 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C42 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C43 YGPIKNVYHIYQSYMHIDPFPRQIIDV
*.*::*.************** ..
-- Starting log on Fri Nov 04 00:59:53 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E.result--
CLUSTAL FORMAT for T-COFFEE Version_12.00.7fb08c2 [http://www.tcoffee.org] [MODE: ], CPU=0.07 sec, SCORE=1000, Nseq=43, Len=77
C1 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C2 MFLKLVDDHALVVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C3 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C4 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C5 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C6 MFLKLVDDHALVVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C7 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C8 MFLKLVDDHAIIVNVILWLIVLLVVLLICITLIKLIKLCFTCHMFCSRTV
C9 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTV
C10 MFLKLVDDHAIIVNVLLWLIVLLVVLLICITLIKLIKLCFTCHMFCSRTV
C11 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTV
C12 MFLKLVDDHALVVNVLLWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
C13 MFLKLVDDHALVVNVLLWCVVLIVVLLVCITIIKLIKLCFTCHMFCNRTV
C14 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
C15 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTV
C16 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
C17 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
C18 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
C19 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
C20 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTF
C21 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C22 MFLKLVDDHALIVNVLIWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C23 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C24 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C25 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C26 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C27 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C28 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C29 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C30 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C31 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C32 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C33 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C34 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C35 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C36 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C37 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C38 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C39 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C40 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C41 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C42 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
C43 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
**********::***::* :**:*:**:***:**************.:*.
C1 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C2 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C3 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C4 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C5 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C6 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C7 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C8 YDPVRNAYHIYQSYMHIDPFPK-FPDV
C9 YGPIKNVYHIYQSYMHIDPFPRQIIDV
C10 YNPVRNAYHIYQSYMHIDPFPT--FDV
C11 YGPIKNVYHIYQSYMHIDPFPTQIIDV
C12 YGPIKNVYHIYQSYMHIDPFPKQVISV
C13 YGPIKNVYHIYQSYMHIDPFPKQIIDV
C14 YGPIKNVYHIYQSYMHIDPFPRQIIDV
C15 YGPIKNVYHIYQSYMHIDPFPRQIIDV
C16 YGPIKNVYHIYQSYMHIDPFPRQIIDV
C17 YGPIKNVYHIYQSYMHIDPFPRQIIDV
C18 YGPIKNVYHIYQSYMHIDPFPRQIIDV
C19 YGPIKNVYHIYQSYMHIDPFPRQIIDV
C20 YGPIKNVYHIYQSYMHIDPFPRQIIDV
C21 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C22 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C23 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C24 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C25 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C26 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C27 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C28 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C29 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C30 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C31 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C32 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C33 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C34 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C35 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C36 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C37 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C38 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C39 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C40 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C41 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C42 YGPIKNVYHIYQSYMHIDPFPKRVIDF
C43 YGPIKNVYHIYQSYMHIDPFPRQIIDV
*.*::*.************** ..
-- Starting log on Fri Nov 04 01:27:04 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E.result/gapped_alignment/fubar,229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E.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 43 taxa and 231 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 -> C27
Taxon 21 -> C28
Taxon 22 -> C29
Taxon 23 -> C3
Taxon 24 -> C30
Taxon 25 -> C31
Taxon 26 -> C32
Taxon 27 -> C33
Taxon 28 -> C34
Taxon 29 -> C35
Taxon 30 -> C36
Taxon 31 -> C37
Taxon 32 -> C38
Taxon 33 -> C39
Taxon 34 -> C4
Taxon 35 -> C40
Taxon 36 -> C41
Taxon 37 -> C42
Taxon 38 -> C43
Taxon 39 -> C5
Taxon 40 -> C6
Taxon 41 -> C7
Taxon 42 -> C8
Taxon 43 -> C9
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1667525230
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) = 1898052870
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 = 6467154132
Seed = 116809178
Swapseed = 1667525230
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 27 unique site patterns
Division 2 has 15 unique site patterns
Division 3 has 52 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 -- -2630.800075 -- 103.004869
Chain 2 -- -2781.220916 -- 103.004869
Chain 3 -- -2648.103565 -- 103.004869
Chain 4 -- -2828.286255 -- 103.004869
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -2531.767554 -- 103.004869
Chain 2 -- -2615.596087 -- 103.004869
Chain 3 -- -2750.001276 -- 103.004869
Chain 4 -- -2602.646516 -- 103.004869
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-2630.800] (-2781.221) (-2648.104) (-2828.286) * [-2531.768] (-2615.596) (-2750.001) (-2602.647)
1000 -- [-1114.320] (-1266.756) (-1196.282) (-1399.675) * (-1223.885) [-1162.992] (-1231.841) (-1132.599) -- 0:16:39
2000 -- [-1023.783] (-1116.869) (-1031.259) (-1082.406) * (-1046.677) (-1078.832) (-1058.516) [-1028.860] -- 0:16:38
3000 -- [-1003.467] (-1043.707) (-993.074) (-1019.520) * (-1010.898) (-1021.180) (-992.910) [-990.575] -- 0:16:37
4000 -- (-972.968) (-992.768) [-972.200] (-1019.155) * (-976.363) (-1000.790) [-976.226] (-1014.469) -- 0:16:36
5000 -- (-979.927) (-990.562) [-958.842] (-1023.364) * (-987.608) (-981.505) [-971.850] (-990.585) -- 0:16:35
Average standard deviation of split frequencies: 0.087760
6000 -- (-983.163) [-994.538] (-985.981) (-998.027) * (-996.972) (-984.439) [-969.709] (-979.352) -- 0:16:34
7000 -- (-968.351) (-993.879) [-969.964] (-973.497) * (-976.705) (-966.463) [-962.409] (-990.152) -- 0:16:33
8000 -- (-980.791) (-990.257) (-978.038) [-966.756] * (-982.493) [-970.989] (-984.641) (-974.976) -- 0:16:32
9000 -- (-984.332) (-997.592) [-989.787] (-967.999) * (-972.487) (-997.125) [-963.430] (-1011.933) -- 0:16:31
10000 -- (-989.522) (-994.933) (-990.276) [-970.229] * (-982.300) (-980.832) [-967.747] (-980.892) -- 0:16:30
Average standard deviation of split frequencies: 0.068196
11000 -- (-980.358) (-985.670) (-989.133) [-973.097] * (-1013.896) (-1002.129) [-977.869] (-973.576) -- 0:16:29
12000 -- (-966.219) (-989.489) (-1004.508) [-968.721] * (-1000.907) (-990.818) (-979.800) [-966.246] -- 0:16:28
13000 -- [-977.193] (-1014.153) (-983.531) (-981.242) * (-998.264) (-990.421) (-964.301) [-950.427] -- 0:16:27
14000 -- (-997.708) (-989.791) [-962.301] (-970.648) * (-989.924) (-989.523) (-966.766) [-970.231] -- 0:16:26
15000 -- (-970.708) (-997.555) (-977.868) [-966.550] * (-987.994) [-976.754] (-970.197) (-955.278) -- 0:16:25
Average standard deviation of split frequencies: 0.058216
16000 -- (-969.161) (-1003.922) (-995.164) [-957.849] * (-997.112) (-955.625) (-965.263) [-971.739] -- 0:16:24
17000 -- (-1013.445) (-989.229) [-983.135] (-973.931) * (-995.013) (-967.830) [-983.047] (-981.871) -- 0:16:23
18000 -- (-985.019) (-964.655) [-975.602] (-996.296) * (-983.690) [-969.378] (-967.619) (-982.877) -- 0:16:22
19000 -- (-985.264) (-985.982) [-974.774] (-971.543) * (-995.386) (-978.744) [-984.907] (-970.338) -- 0:16:21
20000 -- (-978.069) (-989.520) [-952.472] (-1000.587) * (-997.822) (-980.805) [-966.598] (-983.263) -- 0:16:20
Average standard deviation of split frequencies: 0.060398
21000 -- (-982.689) (-1014.116) [-968.994] (-988.010) * (-976.044) (-995.688) [-965.790] (-980.057) -- 0:16:19
22000 -- (-983.116) (-983.618) [-967.407] (-982.467) * (-982.293) [-951.519] (-985.951) (-1004.615) -- 0:16:18
23000 -- (-986.623) (-1013.118) [-961.718] (-975.611) * (-972.609) [-964.151] (-977.043) (-997.885) -- 0:16:17
24000 -- (-978.088) (-981.802) [-976.185] (-972.639) * (-974.800) [-976.621] (-983.009) (-990.613) -- 0:16:16
25000 -- (-991.388) (-968.047) (-978.376) [-979.160] * (-989.986) (-992.097) (-973.126) [-960.896] -- 0:16:15
Average standard deviation of split frequencies: 0.052686
26000 -- (-977.804) [-958.922] (-967.251) (-982.741) * (-988.423) (-999.800) (-981.342) [-957.637] -- 0:16:14
27000 -- [-976.429] (-996.596) (-994.183) (-1000.569) * (-995.188) [-967.097] (-987.945) (-971.567) -- 0:16:13
28000 -- [-965.532] (-990.337) (-980.272) (-982.254) * (-992.040) (-968.480) (-969.013) [-990.082] -- 0:16:12
29000 -- [-954.304] (-999.650) (-972.515) (-991.845) * (-975.803) (-984.375) (-975.985) [-963.821] -- 0:16:11
30000 -- [-960.472] (-984.807) (-969.003) (-978.981) * (-964.820) (-981.651) [-961.213] (-991.110) -- 0:16:10
Average standard deviation of split frequencies: 0.048575
31000 -- (-968.035) (-988.891) [-987.877] (-1001.966) * (-981.793) (-1002.678) [-974.289] (-1002.209) -- 0:16:09
32000 -- (-977.515) [-976.112] (-973.710) (-981.291) * [-982.043] (-988.817) (-975.747) (-1019.142) -- 0:16:08
33000 -- (-975.384) (-985.454) [-964.669] (-1000.125) * (-968.136) (-996.252) [-984.490] (-1021.780) -- 0:16:07
34000 -- (-979.359) (-992.400) [-966.444] (-995.386) * (-973.414) (-987.052) [-977.319] (-998.697) -- 0:16:06
35000 -- (-975.609) (-983.827) [-951.088] (-958.348) * (-969.481) (-998.640) [-974.774] (-1011.873) -- 0:16:05
Average standard deviation of split frequencies: 0.043520
36000 -- (-993.934) (-983.792) [-966.138] (-980.551) * (-966.280) (-997.672) [-980.725] (-1010.730) -- 0:16:04
37000 -- (-1000.498) (-981.988) [-948.987] (-979.639) * [-967.023] (-981.455) (-1010.045) (-1000.460) -- 0:16:03
38000 -- (-993.527) (-965.745) [-967.362] (-995.964) * [-971.114] (-989.828) (-965.988) (-997.608) -- 0:16:02
39000 -- (-989.927) (-998.235) (-978.855) [-983.138] * [-965.378] (-1002.022) (-964.712) (-984.463) -- 0:16:01
40000 -- (-988.482) (-994.844) [-960.729] (-980.352) * [-967.368] (-984.125) (-969.707) (-1001.476) -- 0:16:00
Average standard deviation of split frequencies: 0.038060
41000 -- (-987.354) (-1001.514) [-972.610] (-997.537) * (-982.571) (-992.481) [-967.830] (-973.233) -- 0:15:59
42000 -- (-983.748) (-1014.510) [-964.517] (-965.670) * (-981.905) (-967.923) [-965.052] (-982.580) -- 0:15:58
43000 -- (-990.950) (-1012.285) [-959.750] (-973.581) * (-980.302) (-970.441) (-983.074) [-983.411] -- 0:15:57
44000 -- (-989.299) (-992.666) (-975.876) [-962.266] * (-993.836) (-987.465) (-988.861) [-965.363] -- 0:15:56
45000 -- (-1000.888) (-985.581) (-981.163) [-965.966] * (-1023.152) [-990.473] (-972.299) (-967.073) -- 0:15:55
Average standard deviation of split frequencies: 0.033582
46000 -- (-981.306) (-1000.703) (-977.391) [-961.761] * (-993.413) (-981.755) [-967.727] (-963.616) -- 0:15:54
47000 -- (-973.079) (-991.955) [-955.877] (-978.757) * (-995.202) [-967.421] (-977.302) (-997.896) -- 0:15:53
48000 -- (-983.650) (-991.654) [-955.804] (-1004.449) * [-970.125] (-999.137) (-966.169) (-976.708) -- 0:15:52
49000 -- [-964.388] (-967.244) (-983.989) (-1009.483) * (-991.271) (-1005.362) [-961.540] (-989.095) -- 0:15:51
50000 -- [-984.979] (-978.323) (-981.923) (-1010.663) * (-991.586) [-986.269] (-964.706) (-999.951) -- 0:15:50
Average standard deviation of split frequencies: 0.033727
51000 -- (-973.812) [-960.193] (-987.376) (-990.789) * (-977.450) (-978.871) [-963.880] (-1008.709) -- 0:15:49
52000 -- (-977.821) [-967.689] (-981.747) (-1017.402) * (-989.158) (-977.383) [-952.103] (-991.948) -- 0:15:48
53000 -- (-988.338) [-970.971] (-974.008) (-984.733) * (-990.548) (-1001.048) [-964.155] (-982.171) -- 0:15:47
54000 -- (-1004.808) [-970.751] (-998.589) (-992.735) * (-981.281) (-981.625) [-969.306] (-972.024) -- 0:15:46
55000 -- (-989.657) [-953.170] (-1022.451) (-970.941) * [-966.036] (-982.496) (-971.878) (-1011.537) -- 0:15:45
Average standard deviation of split frequencies: 0.030549
56000 -- [-978.291] (-970.604) (-988.822) (-977.906) * (-964.309) [-970.320] (-981.849) (-1013.269) -- 0:15:44
57000 -- [-966.221] (-1005.914) (-983.503) (-972.606) * [-965.077] (-971.937) (-983.755) (-972.145) -- 0:15:43
58000 -- (-973.448) [-961.017] (-988.161) (-987.001) * [-957.992] (-995.956) (-976.975) (-970.814) -- 0:15:42
59000 -- (-957.904) [-959.033] (-998.817) (-973.989) * [-968.366] (-990.960) (-996.084) (-982.162) -- 0:15:41
60000 -- (-965.596) [-968.735] (-979.692) (-991.233) * [-974.480] (-1002.841) (-991.448) (-975.562) -- 0:15:40
Average standard deviation of split frequencies: 0.031988
61000 -- [-978.737] (-978.274) (-976.511) (-980.760) * (-969.893) [-971.692] (-977.554) (-989.646) -- 0:15:39
62000 -- (-973.081) (-981.948) (-979.790) [-966.293] * (-969.128) (-989.467) [-974.215] (-1007.902) -- 0:15:38
63000 -- (-991.435) [-963.827] (-982.948) (-968.560) * (-987.859) [-970.612] (-963.212) (-1009.528) -- 0:15:37
64000 -- (-978.838) [-968.752] (-982.295) (-978.216) * [-985.464] (-974.781) (-970.038) (-983.181) -- 0:15:36
65000 -- (-977.703) [-976.977] (-971.786) (-999.699) * (-982.055) (-979.606) (-968.523) [-980.614] -- 0:15:35
Average standard deviation of split frequencies: 0.033592
66000 -- [-957.627] (-984.484) (-990.902) (-998.891) * (-1002.300) (-978.552) [-964.576] (-983.865) -- 0:15:34
67000 -- [-953.141] (-975.695) (-980.462) (-1020.042) * (-1005.254) [-967.099] (-965.347) (-990.057) -- 0:15:33
68000 -- [-951.877] (-967.088) (-984.388) (-998.125) * (-1018.266) (-954.593) (-986.399) [-969.746] -- 0:15:32
69000 -- [-973.631] (-975.069) (-978.887) (-1026.511) * (-993.106) [-974.939] (-999.660) (-969.389) -- 0:15:31
70000 -- (-971.733) (-972.811) [-965.948] (-1030.641) * (-983.072) (-964.715) (-994.794) [-961.590] -- 0:15:43
Average standard deviation of split frequencies: 0.030130
71000 -- (-990.587) [-965.961] (-972.724) (-1009.133) * (-973.485) (-986.754) (-987.971) [-966.909] -- 0:15:42
72000 -- (-974.749) [-968.075] (-974.227) (-1000.472) * [-962.790] (-1001.301) (-972.354) (-976.484) -- 0:15:40
73000 -- (-992.138) [-973.328] (-975.492) (-1012.656) * [-954.026] (-1003.509) (-983.630) (-976.374) -- 0:15:39
74000 -- (-981.080) [-975.274] (-989.234) (-1006.211) * (-971.875) (-1001.551) [-973.176] (-1007.328) -- 0:15:38
75000 -- [-956.205] (-987.452) (-978.796) (-974.169) * [-965.018] (-987.404) (-983.275) (-987.221) -- 0:15:37
Average standard deviation of split frequencies: 0.030613
76000 -- [-968.121] (-980.793) (-975.786) (-1001.132) * (-966.311) (-991.946) [-965.851] (-978.328) -- 0:15:36
77000 -- [-949.422] (-977.023) (-961.884) (-1013.480) * [-972.285] (-1008.665) (-965.096) (-974.426) -- 0:15:34
78000 -- [-982.317] (-990.367) (-984.809) (-1006.675) * [-968.076] (-1005.714) (-968.793) (-977.637) -- 0:15:33
79000 -- [-967.637] (-995.103) (-991.734) (-1024.394) * (-966.644) (-993.717) (-1000.200) [-967.552] -- 0:15:32
80000 -- [-966.173] (-996.764) (-977.169) (-973.070) * [-964.668] (-977.754) (-983.745) (-972.577) -- 0:15:31
Average standard deviation of split frequencies: 0.027607
81000 -- (-955.651) (-974.394) [-966.777] (-994.588) * (-970.522) [-971.848] (-976.045) (-1007.422) -- 0:15:30
82000 -- (-973.179) (-991.979) [-965.703] (-990.680) * (-973.991) [-971.981] (-982.745) (-988.230) -- 0:15:29
83000 -- (-964.479) [-967.643] (-980.523) (-1003.064) * (-985.596) [-980.924] (-978.761) (-999.498) -- 0:15:28
84000 -- (-971.343) (-999.896) [-968.662] (-1017.144) * (-995.079) [-964.360] (-975.215) (-980.884) -- 0:15:26
85000 -- (-982.248) [-985.673] (-976.688) (-1001.091) * (-971.646) [-974.126] (-975.218) (-975.457) -- 0:15:25
Average standard deviation of split frequencies: 0.026081
86000 -- (-972.883) (-1005.557) [-972.708] (-1030.291) * [-963.842] (-970.230) (-972.477) (-969.780) -- 0:15:24
87000 -- (-992.033) (-971.099) [-961.644] (-1014.354) * (-973.564) (-988.956) [-959.405] (-992.401) -- 0:15:23
88000 -- (-984.242) (-995.152) [-967.693] (-999.021) * [-985.849] (-990.608) (-978.445) (-1008.917) -- 0:15:22
89000 -- [-970.286] (-1001.346) (-973.743) (-975.067) * (-995.992) (-972.798) [-965.158] (-975.410) -- 0:15:21
90000 -- [-976.275] (-989.415) (-962.700) (-977.081) * (-989.035) (-971.643) [-969.070] (-997.219) -- 0:15:20
Average standard deviation of split frequencies: 0.025823
91000 -- (-969.668) (-994.823) [-958.908] (-995.410) * (-992.399) (-960.006) [-957.234] (-977.708) -- 0:15:18
92000 -- (-983.476) (-1008.223) [-950.534] (-975.291) * (-989.713) (-980.198) (-956.485) [-968.971] -- 0:15:17
93000 -- (-1005.324) (-1004.771) [-968.593] (-969.324) * (-972.750) [-976.147] (-976.987) (-984.875) -- 0:15:16
94000 -- (-994.291) (-988.779) [-970.003] (-991.633) * (-966.676) (-987.893) (-967.917) [-969.385] -- 0:15:15
95000 -- (-993.073) (-975.921) (-987.379) [-984.455] * [-977.161] (-981.946) (-997.726) (-986.065) -- 0:15:14
Average standard deviation of split frequencies: 0.026107
96000 -- (-988.965) [-974.012] (-991.538) (-975.472) * [-966.449] (-994.105) (-987.993) (-972.857) -- 0:15:13
97000 -- (-961.204) [-975.494] (-993.766) (-984.584) * (-993.376) [-970.296] (-976.330) (-976.341) -- 0:15:12
98000 -- (-955.804) [-974.121] (-975.686) (-993.538) * (-985.971) (-996.537) [-962.132] (-979.604) -- 0:15:11
99000 -- (-967.614) (-985.071) [-970.746] (-993.598) * (-1020.319) (-991.494) (-968.184) [-960.719] -- 0:15:10
100000 -- (-959.648) (-1000.358) (-985.408) [-968.132] * (-992.127) (-977.455) [-969.988] (-972.914) -- 0:15:09
Average standard deviation of split frequencies: 0.024741
101000 -- [-969.564] (-991.336) (-996.469) (-972.997) * (-986.913) [-958.867] (-975.038) (-980.135) -- 0:15:07
102000 -- [-966.098] (-978.812) (-978.473) (-974.383) * (-995.211) [-975.916] (-1005.490) (-980.893) -- 0:15:06
103000 -- (-968.032) (-983.014) (-980.310) [-970.657] * (-998.961) [-966.738] (-978.964) (-973.324) -- 0:15:05
104000 -- (-978.165) [-960.174] (-979.002) (-975.621) * (-1005.959) (-971.405) (-990.543) [-971.487] -- 0:15:04
105000 -- (-978.513) (-969.296) (-989.787) [-982.854] * (-996.804) [-968.064] (-992.720) (-963.718) -- 0:15:03
Average standard deviation of split frequencies: 0.023348
106000 -- (-977.336) [-974.977] (-991.387) (-969.243) * (-1010.952) (-973.833) [-970.368] (-991.563) -- 0:15:02
107000 -- [-977.539] (-981.095) (-1014.003) (-979.319) * (-995.752) [-953.290] (-973.565) (-987.865) -- 0:15:01
108000 -- [-964.642] (-972.613) (-1005.634) (-970.448) * (-992.035) [-963.056] (-986.760) (-970.283) -- 0:15:00
109000 -- (-975.318) (-974.809) (-1002.109) [-963.875] * (-994.688) [-972.103] (-983.262) (-978.922) -- 0:14:59
110000 -- (-983.545) (-974.519) (-961.758) [-954.515] * (-1009.523) (-972.852) [-963.521] (-972.410) -- 0:14:58
Average standard deviation of split frequencies: 0.019676
111000 -- (-979.962) (-967.882) (-973.034) [-964.759] * (-1025.583) [-958.059] (-960.515) (-973.239) -- 0:14:57
112000 -- (-1006.606) (-966.159) [-973.501] (-972.979) * (-985.745) (-970.524) [-959.861] (-961.932) -- 0:14:55
113000 -- (-1011.908) (-971.944) (-988.020) [-970.829] * (-972.403) (-983.763) (-972.046) [-951.129] -- 0:14:54
114000 -- (-986.811) (-990.486) [-966.517] (-965.172) * (-969.811) (-998.608) (-985.743) [-959.234] -- 0:14:53
115000 -- (-976.811) (-985.448) [-963.767] (-980.955) * (-1006.827) (-966.758) (-974.280) [-965.343] -- 0:14:52
Average standard deviation of split frequencies: 0.018387
116000 -- (-994.214) (-996.141) (-980.243) [-958.930] * (-1017.370) [-955.813] (-974.135) (-968.641) -- 0:14:51
117000 -- (-986.760) (-979.396) [-979.611] (-971.975) * (-1007.342) [-959.774] (-971.351) (-990.096) -- 0:14:50
118000 -- (-970.854) (-1001.983) [-963.402] (-985.489) * (-1013.168) [-972.383] (-984.656) (-1004.333) -- 0:14:49
119000 -- [-974.220] (-982.753) (-959.749) (-991.461) * (-986.441) (-975.725) [-967.062] (-993.996) -- 0:14:48
120000 -- (-986.955) (-977.119) [-967.535] (-976.835) * (-980.739) (-987.781) (-972.618) [-978.641] -- 0:14:47
Average standard deviation of split frequencies: 0.020238
121000 -- (-981.621) (-980.358) [-967.996] (-987.595) * (-981.901) (-1001.120) (-978.990) [-966.163] -- 0:14:46
122000 -- [-962.150] (-994.839) (-972.399) (-1000.709) * (-970.871) (-969.326) (-962.803) [-964.147] -- 0:14:45
123000 -- [-955.817] (-997.274) (-964.144) (-984.605) * (-968.103) (-989.345) (-997.818) [-964.025] -- 0:14:44
124000 -- (-965.922) (-995.700) [-968.654] (-985.355) * (-981.840) (-970.842) (-998.112) [-955.204] -- 0:14:43
125000 -- (-990.239) (-1009.050) (-968.097) [-975.761] * (-980.331) [-971.101] (-974.848) (-1006.548) -- 0:14:42
Average standard deviation of split frequencies: 0.018767
126000 -- (-996.575) (-970.144) (-954.403) [-958.908] * [-964.769] (-964.805) (-968.763) (-1003.046) -- 0:14:40
127000 -- (-992.137) (-979.682) [-951.721] (-979.123) * (-977.449) [-958.388] (-993.399) (-993.415) -- 0:14:39
128000 -- (-983.778) (-997.440) [-963.821] (-970.180) * (-987.487) [-960.916] (-989.694) (-980.195) -- 0:14:38
129000 -- (-980.644) (-1018.803) [-969.237] (-984.029) * [-966.142] (-977.838) (-1012.969) (-973.334) -- 0:14:37
130000 -- (-989.729) (-987.429) [-970.359] (-980.704) * (-976.344) [-963.682] (-979.939) (-992.256) -- 0:14:36
Average standard deviation of split frequencies: 0.017197
131000 -- (-996.062) (-975.165) [-964.721] (-979.365) * (-974.497) (-994.513) [-969.957] (-992.814) -- 0:14:35
132000 -- (-994.074) [-972.024] (-967.688) (-989.022) * (-972.581) [-972.820] (-976.380) (-1006.909) -- 0:14:34
133000 -- [-967.484] (-981.443) (-981.981) (-982.040) * (-981.487) (-976.350) [-960.477] (-996.737) -- 0:14:40
134000 -- (-992.267) (-973.031) [-979.667] (-979.624) * (-981.823) (-969.627) [-973.935] (-1006.568) -- 0:14:38
135000 -- (-991.272) [-973.848] (-998.576) (-960.705) * (-986.459) (-974.481) [-969.344] (-1007.179) -- 0:14:37
Average standard deviation of split frequencies: 0.017272
136000 -- [-982.229] (-978.780) (-1004.560) (-980.728) * (-994.064) [-979.908] (-973.838) (-1006.393) -- 0:14:36
137000 -- (-1001.414) (-975.980) (-984.764) [-970.013] * [-972.868] (-970.654) (-991.529) (-991.048) -- 0:14:35
138000 -- (-989.106) [-966.629] (-1001.079) (-971.034) * [-975.514] (-993.936) (-982.825) (-986.992) -- 0:14:34
139000 -- (-993.438) [-960.580] (-988.809) (-981.924) * (-979.676) [-972.162] (-972.322) (-1000.864) -- 0:14:33
140000 -- (-977.428) [-961.671] (-1009.806) (-963.492) * (-976.231) [-960.849] (-977.468) (-1015.035) -- 0:14:32
Average standard deviation of split frequencies: 0.016583
141000 -- (-979.124) [-988.341] (-996.808) (-980.324) * [-972.424] (-975.775) (-975.517) (-996.768) -- 0:14:31
142000 -- [-974.492] (-976.365) (-1015.877) (-991.542) * [-971.413] (-973.271) (-985.338) (-996.929) -- 0:14:30
143000 -- [-974.838] (-976.224) (-1029.492) (-983.397) * (-974.702) (-985.269) [-972.190] (-987.748) -- 0:14:28
144000 -- (-986.046) [-982.790] (-987.065) (-986.073) * (-978.732) [-970.467] (-1001.418) (-975.925) -- 0:14:27
145000 -- [-976.440] (-979.676) (-996.683) (-998.317) * (-981.761) (-963.975) (-1005.572) [-966.033] -- 0:14:26
Average standard deviation of split frequencies: 0.017133
146000 -- [-964.728] (-1003.158) (-988.812) (-983.299) * (-991.347) (-982.311) (-1003.311) [-967.463] -- 0:14:25
147000 -- (-971.202) (-1006.531) [-968.213] (-963.365) * [-979.139] (-982.956) (-1010.824) (-976.283) -- 0:14:24
148000 -- [-968.123] (-996.401) (-989.118) (-974.382) * [-956.228] (-990.577) (-991.612) (-992.547) -- 0:14:23
149000 -- [-961.442] (-988.038) (-980.525) (-966.560) * (-969.039) (-1008.370) (-987.021) [-972.051] -- 0:14:22
150000 -- [-964.051] (-977.057) (-974.877) (-994.732) * [-974.176] (-979.809) (-975.123) (-984.099) -- 0:14:21
Average standard deviation of split frequencies: 0.016583
151000 -- [-964.584] (-1003.898) (-986.442) (-987.194) * (-975.487) (-987.385) (-965.110) [-966.328] -- 0:14:20
152000 -- (-959.926) [-977.006] (-994.536) (-990.339) * (-982.752) (-983.720) [-962.425] (-981.664) -- 0:14:19
153000 -- [-960.865] (-1001.294) (-994.013) (-989.069) * (-974.192) (-993.148) [-956.691] (-972.575) -- 0:14:18
154000 -- [-973.625] (-972.391) (-994.941) (-969.552) * (-984.573) (-1006.709) [-964.146] (-989.720) -- 0:14:16
155000 -- [-970.101] (-977.549) (-1000.548) (-993.802) * (-981.398) (-1024.206) [-968.024] (-976.646) -- 0:14:15
Average standard deviation of split frequencies: 0.017375
156000 -- (-970.844) (-990.466) (-997.242) [-978.876] * (-965.508) (-1011.020) [-966.125] (-979.130) -- 0:14:14
157000 -- [-972.839] (-1011.197) (-988.371) (-981.792) * [-975.137] (-993.930) (-972.847) (-995.364) -- 0:14:13
158000 -- [-960.594] (-981.333) (-1002.912) (-971.411) * (-978.232) (-994.509) (-971.446) [-971.877] -- 0:14:12
159000 -- [-963.198] (-1003.232) (-981.762) (-977.681) * [-965.303] (-973.163) (-978.405) (-988.226) -- 0:14:11
160000 -- (-967.919) (-996.447) [-976.635] (-975.298) * (-972.728) (-995.686) [-958.094] (-983.982) -- 0:14:10
Average standard deviation of split frequencies: 0.016262
161000 -- (-970.467) (-1003.402) (-1013.795) [-959.877] * (-974.327) (-996.255) [-969.453] (-986.282) -- 0:14:09
162000 -- (-993.369) (-995.627) (-996.298) [-973.048] * [-962.349] (-997.566) (-966.807) (-980.212) -- 0:14:08
163000 -- (-1008.649) (-988.609) [-986.679] (-963.790) * [-965.654] (-975.625) (-985.006) (-985.590) -- 0:14:07
164000 -- (-1017.953) (-984.424) (-994.645) [-948.735] * [-972.771] (-979.079) (-974.372) (-991.483) -- 0:14:06
165000 -- (-992.734) (-993.222) (-977.618) [-952.685] * [-965.973] (-991.364) (-982.375) (-979.520) -- 0:14:05
Average standard deviation of split frequencies: 0.017796
166000 -- (-994.966) (-973.841) (-973.203) [-956.229] * [-951.322] (-985.473) (-986.236) (-978.066) -- 0:14:04
167000 -- (-992.361) (-975.903) (-971.732) [-966.204] * [-970.785] (-995.297) (-1013.898) (-975.509) -- 0:14:02
168000 -- (-981.145) (-982.282) (-992.314) [-970.180] * [-966.690] (-992.611) (-1020.487) (-965.765) -- 0:14:01
169000 -- (-970.301) (-983.050) [-971.762] (-978.880) * [-959.992] (-976.814) (-999.489) (-990.912) -- 0:14:00
170000 -- (-980.532) (-990.789) (-976.642) [-967.692] * [-973.027] (-994.192) (-982.146) (-1002.056) -- 0:13:59
Average standard deviation of split frequencies: 0.017041
171000 -- (-991.311) (-988.284) (-969.033) [-972.745] * [-966.320] (-961.553) (-1016.993) (-996.488) -- 0:13:58
172000 -- (-990.162) [-989.043] (-975.086) (-981.475) * (-973.485) (-968.729) (-1016.680) [-982.021] -- 0:13:57
173000 -- (-978.450) (-984.965) [-965.348] (-995.909) * (-955.534) [-981.402] (-1024.078) (-986.176) -- 0:13:56
174000 -- (-973.690) (-1011.599) (-977.629) [-964.236] * (-966.866) [-970.587] (-992.349) (-1002.057) -- 0:13:55
175000 -- (-974.800) (-1004.699) (-982.104) [-958.934] * [-959.630] (-965.201) (-994.580) (-1018.057) -- 0:13:54
Average standard deviation of split frequencies: 0.016752
176000 -- (-979.410) (-990.106) [-984.890] (-983.492) * (-975.111) [-970.368] (-981.740) (-1015.007) -- 0:13:53
177000 -- (-979.455) (-1032.855) [-975.472] (-979.778) * (-973.542) (-977.715) [-966.050] (-972.803) -- 0:13:52
178000 -- (-982.009) (-1014.146) [-973.504] (-990.406) * [-985.080] (-989.022) (-968.203) (-968.366) -- 0:13:51
179000 -- (-975.714) (-990.747) [-967.945] (-999.300) * [-973.652] (-1004.128) (-983.070) (-964.304) -- 0:13:50
180000 -- [-972.752] (-979.357) (-977.963) (-986.500) * [-967.370] (-989.796) (-983.242) (-965.552) -- 0:13:49
Average standard deviation of split frequencies: 0.016743
181000 -- (-974.860) (-988.020) [-965.353] (-982.454) * (-973.209) (-972.557) (-989.327) [-960.781] -- 0:13:48
182000 -- [-957.786] (-980.732) (-989.549) (-994.794) * (-974.668) (-979.041) [-962.997] (-985.403) -- 0:13:46
183000 -- [-972.351] (-983.166) (-970.963) (-1006.905) * (-972.655) (-1018.359) [-959.663] (-981.306) -- 0:13:45
184000 -- [-962.126] (-993.323) (-989.016) (-984.188) * (-966.683) (-1013.608) [-970.662] (-987.784) -- 0:13:44
185000 -- (-951.801) (-979.541) (-976.023) [-967.790] * (-977.836) (-981.909) [-971.093] (-974.092) -- 0:13:43
Average standard deviation of split frequencies: 0.016245
186000 -- (-966.578) (-987.078) (-971.598) [-960.110] * (-988.366) [-967.647] (-986.253) (-993.640) -- 0:13:42
187000 -- [-961.889] (-984.805) (-969.306) (-969.009) * (-992.425) (-972.318) [-960.454] (-992.963) -- 0:13:41
188000 -- [-953.594] (-977.108) (-996.749) (-969.792) * (-991.634) (-971.656) [-956.762] (-1006.898) -- 0:13:40
189000 -- (-979.424) (-971.407) (-977.984) [-968.533] * (-978.710) (-979.619) [-971.695] (-991.184) -- 0:13:39
190000 -- (-988.142) (-952.188) (-990.128) [-977.715] * (-1001.100) (-971.080) [-969.517] (-982.688) -- 0:13:38
Average standard deviation of split frequencies: 0.016235
191000 -- (-992.364) (-972.855) [-978.878] (-993.579) * (-1000.092) (-986.849) [-972.331] (-988.266) -- 0:13:37
192000 -- (-1004.316) (-966.802) [-960.884] (-1001.793) * [-972.711] (-996.792) (-972.849) (-997.970) -- 0:13:36
193000 -- (-978.413) [-980.738] (-964.018) (-1012.183) * (-969.846) (-1009.747) (-971.766) [-974.571] -- 0:13:35
194000 -- (-971.300) (-987.341) [-973.503] (-977.824) * (-980.501) (-999.282) [-967.750] (-990.956) -- 0:13:34
195000 -- (-978.044) (-996.869) [-962.355] (-981.877) * (-998.488) (-971.500) [-958.523] (-981.427) -- 0:13:33
Average standard deviation of split frequencies: 0.016954
196000 -- (-986.372) (-989.699) [-968.941] (-991.641) * (-1015.067) (-968.340) [-966.616] (-985.481) -- 0:13:32
197000 -- (-977.689) (-992.142) [-980.927] (-1003.038) * (-1006.684) [-966.281] (-965.537) (-981.995) -- 0:13:35
198000 -- [-978.300] (-1006.394) (-971.312) (-997.265) * (-986.440) [-955.876] (-983.117) (-993.401) -- 0:13:34
199000 -- (-977.580) (-996.087) [-970.089] (-1019.273) * (-996.457) (-977.518) [-962.792] (-999.531) -- 0:13:33
200000 -- (-988.123) (-978.975) [-986.711] (-996.192) * (-987.309) [-968.844] (-986.389) (-1009.415) -- 0:13:32
Average standard deviation of split frequencies: 0.017061
201000 -- (-982.343) (-969.036) [-967.861] (-989.479) * [-987.578] (-968.073) (-997.696) (-984.629) -- 0:13:30
202000 -- (-1007.039) (-960.391) (-971.946) [-952.146] * (-974.940) (-971.428) (-994.571) [-982.399] -- 0:13:29
203000 -- (-1009.028) [-951.334] (-997.929) (-977.486) * (-980.563) (-978.298) (-988.267) [-969.592] -- 0:13:28
204000 -- (-984.167) [-963.150] (-976.409) (-979.713) * (-965.400) [-974.101] (-990.991) (-988.022) -- 0:13:27
205000 -- [-969.037] (-971.083) (-995.481) (-997.400) * (-967.002) (-980.888) (-995.294) [-989.282] -- 0:13:26
Average standard deviation of split frequencies: 0.015718
206000 -- (-962.876) [-954.468] (-991.042) (-998.990) * (-962.007) (-997.036) (-998.940) [-987.561] -- 0:13:25
207000 -- (-974.009) [-974.680] (-976.279) (-1009.006) * (-972.932) (-988.714) (-1002.019) [-976.301] -- 0:13:24
208000 -- (-975.940) (-994.179) [-970.843] (-1004.129) * [-976.491] (-1002.581) (-1003.595) (-990.309) -- 0:13:23
209000 -- (-971.367) (-1010.196) [-990.380] (-985.881) * [-966.587] (-977.457) (-1015.410) (-981.550) -- 0:13:22
210000 -- [-977.268] (-1011.010) (-973.087) (-984.137) * [-971.919] (-999.301) (-998.349) (-974.780) -- 0:13:21
Average standard deviation of split frequencies: 0.015158
211000 -- [-955.987] (-1035.673) (-961.503) (-985.374) * [-970.196] (-994.049) (-1004.364) (-965.519) -- 0:13:20
212000 -- (-955.810) (-1020.721) [-956.615] (-994.959) * [-975.777] (-994.254) (-991.768) (-975.580) -- 0:13:19
213000 -- [-975.445] (-1008.003) (-969.376) (-967.716) * (-966.980) (-1008.288) (-977.629) [-974.216] -- 0:13:18
214000 -- (-977.047) [-970.467] (-981.464) (-985.812) * (-959.949) (-1006.855) [-978.488] (-978.912) -- 0:13:17
215000 -- (-982.248) [-970.793] (-1032.737) (-974.665) * [-965.263] (-979.253) (-988.910) (-973.811) -- 0:13:15
Average standard deviation of split frequencies: 0.014890
216000 -- (-979.860) [-964.702] (-1011.550) (-976.101) * (-977.891) [-963.577] (-1005.969) (-974.316) -- 0:13:14
217000 -- (-972.106) [-977.761] (-1011.456) (-967.987) * [-963.432] (-967.366) (-1006.324) (-987.007) -- 0:13:13
218000 -- (-973.889) [-966.001] (-1013.346) (-974.509) * (-968.163) [-970.585] (-1000.299) (-999.742) -- 0:13:12
219000 -- [-977.061] (-980.199) (-1007.954) (-974.671) * (-973.718) [-963.470] (-1013.584) (-1008.233) -- 0:13:11
220000 -- [-966.650] (-974.207) (-989.456) (-969.269) * [-967.481] (-970.006) (-997.652) (-1009.812) -- 0:13:10
Average standard deviation of split frequencies: 0.015061
221000 -- (-975.197) (-967.554) (-1004.699) [-970.647] * [-972.869] (-980.403) (-1003.351) (-993.173) -- 0:13:09
222000 -- (-975.670) (-977.230) (-1023.981) [-973.838] * [-978.119] (-974.162) (-983.009) (-1009.326) -- 0:13:08
223000 -- [-976.610] (-981.131) (-984.252) (-991.028) * (-992.980) [-954.268] (-997.050) (-1009.796) -- 0:13:07
224000 -- [-968.606] (-1004.767) (-987.531) (-994.668) * (-988.095) [-957.797] (-973.412) (-997.785) -- 0:13:06
225000 -- (-981.985) (-988.045) [-965.607] (-1008.650) * (-983.155) (-966.789) [-962.193] (-990.734) -- 0:13:05
Average standard deviation of split frequencies: 0.015031
226000 -- [-980.957] (-988.798) (-972.614) (-1005.530) * (-994.254) (-970.639) [-964.851] (-988.132) -- 0:13:04
227000 -- (-976.930) (-993.293) [-967.942] (-997.001) * (-986.297) [-971.055] (-967.151) (-978.512) -- 0:13:03
228000 -- (-992.979) (-990.994) [-961.017] (-972.402) * (-978.021) (-1008.050) [-977.183] (-966.032) -- 0:13:02
229000 -- (-1001.298) (-985.956) [-965.879] (-988.347) * (-986.999) (-987.835) [-970.581] (-975.459) -- 0:13:01
230000 -- (-979.204) (-975.171) [-973.293] (-974.124) * (-979.541) (-988.703) [-972.714] (-997.845) -- 0:13:00
Average standard deviation of split frequencies: 0.014533
231000 -- [-973.411] (-995.343) (-987.200) (-997.217) * (-973.797) (-981.739) [-982.314] (-983.971) -- 0:12:58
232000 -- (-959.163) (-986.690) [-966.488] (-976.940) * (-977.624) [-966.160] (-1007.263) (-989.012) -- 0:12:57
233000 -- (-961.472) (-997.937) [-967.086] (-973.236) * [-965.897] (-1019.867) (-990.365) (-981.367) -- 0:12:56
234000 -- [-955.812] (-1006.155) (-968.970) (-985.377) * [-972.866] (-974.217) (-982.257) (-992.027) -- 0:12:55
235000 -- (-959.901) (-1007.658) (-973.769) [-977.730] * (-999.432) (-964.683) (-987.666) [-994.023] -- 0:12:54
Average standard deviation of split frequencies: 0.014498
236000 -- [-963.211] (-994.071) (-979.887) (-973.984) * (-1004.473) [-969.481] (-981.862) (-982.663) -- 0:12:53
237000 -- (-963.482) (-995.572) [-989.478] (-970.180) * (-1007.221) (-984.004) (-980.475) [-988.690] -- 0:12:52
238000 -- (-979.602) [-978.091] (-988.087) (-986.289) * (-1008.665) [-983.296] (-990.066) (-976.276) -- 0:12:51
239000 -- (-987.768) (-968.635) [-979.224] (-985.179) * (-991.812) [-961.096] (-981.237) (-986.657) -- 0:12:50
240000 -- (-978.299) (-990.887) [-959.025] (-994.018) * [-969.309] (-962.841) (-1003.255) (-960.088) -- 0:12:49
Average standard deviation of split frequencies: 0.014722
241000 -- (-972.175) (-991.086) [-969.153] (-986.852) * (-986.981) [-968.141] (-1001.532) (-997.390) -- 0:12:48
242000 -- (-976.325) (-976.683) (-997.678) [-961.086] * (-983.623) (-967.725) (-989.115) [-973.928] -- 0:12:47
243000 -- [-970.640] (-994.620) (-994.854) (-979.297) * (-989.150) (-980.670) (-971.235) [-978.548] -- 0:12:46
244000 -- [-973.778] (-981.297) (-990.241) (-991.387) * (-992.967) (-979.119) (-973.296) [-980.362] -- 0:12:45
245000 -- [-971.782] (-1008.016) (-990.123) (-979.977) * (-983.023) (-974.327) [-985.468] (-983.757) -- 0:12:44
Average standard deviation of split frequencies: 0.014722
246000 -- [-965.152] (-1004.688) (-973.726) (-1009.770) * (-1004.273) (-978.872) (-979.996) [-977.882] -- 0:12:43
247000 -- [-973.975] (-1014.884) (-973.487) (-977.691) * (-999.179) (-1005.668) (-990.120) [-977.522] -- 0:12:42
248000 -- (-974.028) (-1002.811) [-983.538] (-986.575) * (-971.742) (-977.658) [-975.090] (-995.563) -- 0:12:41
249000 -- (-971.072) (-993.591) [-973.331] (-986.230) * (-999.262) (-989.445) [-972.721] (-1030.425) -- 0:12:40
250000 -- (-987.443) (-1003.403) [-974.237] (-987.130) * (-981.469) (-988.499) [-953.584] (-1012.523) -- 0:12:39
Average standard deviation of split frequencies: 0.014923
251000 -- [-959.986] (-972.805) (-987.836) (-1000.743) * [-971.266] (-1006.417) (-958.579) (-1009.922) -- 0:12:37
252000 -- (-962.780) (-976.432) [-961.190] (-1008.314) * [-969.032] (-995.193) (-975.658) (-1003.116) -- 0:12:36
253000 -- (-997.720) [-976.591] (-977.109) (-974.266) * [-963.947] (-988.228) (-981.973) (-1012.803) -- 0:12:35
254000 -- (-993.319) (-986.604) [-984.401] (-974.996) * [-979.253] (-978.877) (-983.664) (-1005.255) -- 0:12:34
255000 -- (-999.396) [-967.015] (-981.115) (-977.504) * (-961.011) (-993.813) [-963.965] (-1002.471) -- 0:12:33
Average standard deviation of split frequencies: 0.014271
256000 -- (-1015.163) (-968.812) (-1004.720) [-962.255] * (-1011.176) (-984.726) [-961.083] (-990.702) -- 0:12:32
257000 -- (-983.794) (-991.582) (-997.367) [-969.087] * (-1005.954) (-987.890) [-960.819] (-972.152) -- 0:12:31
258000 -- (-978.569) (-991.075) [-984.497] (-982.251) * (-1000.744) [-991.230] (-975.280) (-951.824) -- 0:12:30
259000 -- [-970.981] (-997.413) (-986.710) (-975.509) * (-979.300) (-1012.507) (-964.787) [-963.177] -- 0:12:29
260000 -- (-981.055) (-1002.521) [-968.961] (-974.422) * (-983.775) (-994.275) [-951.790] (-959.626) -- 0:12:31
Average standard deviation of split frequencies: 0.015111
261000 -- (-976.820) (-990.802) [-972.746] (-979.200) * (-990.973) (-993.863) [-964.896] (-981.023) -- 0:12:30
262000 -- [-974.153] (-980.974) (-988.209) (-987.421) * (-985.853) (-987.448) [-981.661] (-976.051) -- 0:12:29
263000 -- [-977.397] (-990.467) (-978.904) (-989.376) * (-978.598) (-969.335) [-972.755] (-975.665) -- 0:12:28
264000 -- (-982.128) (-984.834) (-972.320) [-986.358] * (-1005.996) [-966.088] (-1003.018) (-960.901) -- 0:12:27
265000 -- [-975.264] (-995.925) (-990.211) (-986.874) * (-1001.126) [-975.253] (-995.591) (-966.400) -- 0:12:26
Average standard deviation of split frequencies: 0.014721
266000 -- [-984.092] (-1008.890) (-990.520) (-957.801) * (-998.022) (-970.040) (-1001.946) [-961.342] -- 0:12:25
267000 -- [-966.196] (-1004.148) (-973.050) (-973.709) * (-1002.310) (-976.384) (-973.827) [-973.507] -- 0:12:23
268000 -- [-970.320] (-990.924) (-975.247) (-976.724) * (-998.617) (-965.703) [-958.621] (-992.449) -- 0:12:22
269000 -- [-976.987] (-991.825) (-991.660) (-999.445) * (-987.919) (-984.304) [-960.627] (-1022.620) -- 0:12:21
270000 -- (-987.548) (-998.888) [-973.915] (-975.018) * (-967.698) (-973.093) [-957.352] (-1007.206) -- 0:12:20
Average standard deviation of split frequencies: 0.015075
271000 -- (-1009.310) (-981.694) (-993.060) [-973.552] * (-973.598) (-985.326) [-954.376] (-1008.816) -- 0:12:19
272000 -- (-1025.057) [-967.282] (-978.006) (-981.056) * [-955.446] (-992.698) (-970.223) (-986.116) -- 0:12:18
273000 -- (-982.243) (-969.296) [-989.963] (-979.947) * (-969.096) (-973.199) (-962.114) [-967.710] -- 0:12:17
274000 -- (-1010.028) [-969.610] (-993.649) (-974.550) * (-972.194) [-957.468] (-984.312) (-977.490) -- 0:12:16
275000 -- (-990.617) [-959.751] (-989.277) (-971.701) * [-972.863] (-974.521) (-989.550) (-1002.912) -- 0:12:15
Average standard deviation of split frequencies: 0.014380
276000 -- [-966.772] (-972.539) (-991.057) (-1020.985) * [-992.131] (-965.420) (-999.366) (-990.485) -- 0:12:14
277000 -- [-963.880] (-984.263) (-975.962) (-1001.004) * (-991.727) [-974.979] (-992.290) (-982.685) -- 0:12:13
278000 -- (-976.746) [-972.088] (-977.270) (-1007.394) * (-974.664) [-987.607] (-1034.665) (-977.573) -- 0:12:12
279000 -- (-980.623) (-969.630) [-984.182] (-999.532) * (-972.227) (-1017.372) (-994.988) [-973.453] -- 0:12:11
280000 -- (-966.586) [-981.054] (-965.784) (-989.711) * (-984.071) (-1009.201) (-984.132) [-965.350] -- 0:12:10
Average standard deviation of split frequencies: 0.014087
281000 -- [-967.134] (-989.092) (-976.982) (-978.743) * (-1008.586) (-991.267) [-977.847] (-974.817) -- 0:12:09
282000 -- [-960.507] (-979.020) (-982.488) (-988.648) * (-997.205) (-1000.150) [-961.931] (-977.506) -- 0:12:08
283000 -- (-984.231) (-972.545) (-997.932) [-964.007] * (-987.536) (-989.306) [-965.992] (-1004.876) -- 0:12:07
284000 -- (-984.769) (-977.750) (-1003.666) [-971.485] * [-977.251] (-991.933) (-979.616) (-1016.726) -- 0:12:06
285000 -- (-981.752) (-966.008) (-978.288) [-965.129] * (-967.244) (-986.561) (-988.837) [-988.467] -- 0:12:05
Average standard deviation of split frequencies: 0.014363
286000 -- [-977.883] (-967.442) (-995.863) (-1003.164) * (-973.178) (-981.719) (-992.008) [-972.712] -- 0:12:03
287000 -- (-964.291) [-972.533] (-993.196) (-994.553) * (-969.286) (-965.957) (-1018.193) [-965.050] -- 0:12:02
288000 -- [-954.936] (-985.609) (-998.133) (-982.009) * [-958.834] (-993.569) (-1017.112) (-961.322) -- 0:12:01
289000 -- [-972.797] (-990.486) (-994.217) (-980.992) * (-979.829) [-980.037] (-1020.234) (-972.538) -- 0:12:00
290000 -- (-977.444) (-981.446) (-1009.557) [-968.118] * [-975.844] (-979.720) (-998.513) (-985.602) -- 0:11:59
Average standard deviation of split frequencies: 0.014387
291000 -- (-973.554) (-976.224) (-1012.803) [-981.861] * [-960.284] (-988.241) (-985.236) (-983.382) -- 0:11:58
292000 -- (-968.721) [-973.937] (-993.060) (-984.868) * (-991.460) [-993.333] (-978.515) (-968.555) -- 0:11:57
293000 -- [-959.866] (-980.674) (-999.393) (-1006.745) * (-974.219) (-1008.351) (-986.237) [-966.095] -- 0:11:56
294000 -- (-967.002) [-960.885] (-986.220) (-986.356) * (-982.223) (-990.966) (-980.571) [-968.725] -- 0:11:55
295000 -- (-975.764) [-961.631] (-967.148) (-995.635) * [-964.452] (-990.698) (-977.730) (-988.807) -- 0:11:54
Average standard deviation of split frequencies: 0.014255
296000 -- (-990.299) (-988.629) [-968.518] (-972.061) * [-958.890] (-1014.014) (-986.737) (-971.543) -- 0:11:53
297000 -- [-971.934] (-987.004) (-992.258) (-983.686) * (-974.299) (-988.642) (-967.976) [-959.757] -- 0:11:52
298000 -- [-984.162] (-983.665) (-988.124) (-1010.583) * (-960.491) (-999.586) (-974.749) [-954.828] -- 0:11:51
299000 -- (-987.161) [-974.092] (-987.147) (-999.902) * [-962.474] (-991.084) (-976.443) (-969.978) -- 0:11:50
300000 -- [-970.572] (-966.200) (-961.644) (-986.826) * (-955.415) (-981.266) [-965.835] (-981.341) -- 0:11:49
Average standard deviation of split frequencies: 0.013807
301000 -- [-962.479] (-991.002) (-967.140) (-966.750) * (-964.094) (-982.551) [-977.535] (-973.233) -- 0:11:48
302000 -- [-957.844] (-967.742) (-960.523) (-983.420) * [-976.120] (-975.862) (-979.736) (-967.668) -- 0:11:47
303000 -- [-975.956] (-977.357) (-979.651) (-985.433) * (-986.854) (-977.719) (-999.875) [-968.065] -- 0:11:46
304000 -- (-982.123) (-991.355) [-966.714] (-977.271) * (-986.704) (-981.561) (-987.566) [-964.008] -- 0:11:45
305000 -- [-974.426] (-983.475) (-982.984) (-976.677) * (-970.598) [-979.091] (-994.026) (-994.695) -- 0:11:44
Average standard deviation of split frequencies: 0.013743
306000 -- (-985.045) (-986.648) [-981.677] (-979.971) * [-980.004] (-982.837) (-996.554) (-985.960) -- 0:11:43
307000 -- [-969.077] (-987.557) (-993.204) (-992.235) * (-975.175) [-965.742] (-987.567) (-1000.468) -- 0:11:44
308000 -- (-982.684) (-984.856) [-980.979] (-990.799) * (-957.155) [-968.847] (-994.594) (-1004.406) -- 0:11:43
309000 -- (-989.264) [-984.749] (-997.776) (-1010.835) * [-964.231] (-990.239) (-980.981) (-1006.860) -- 0:11:42
310000 -- [-972.881] (-963.177) (-992.162) (-991.105) * [-977.758] (-989.521) (-1005.289) (-993.088) -- 0:11:41
Average standard deviation of split frequencies: 0.013994
311000 -- [-969.507] (-974.529) (-1000.647) (-979.851) * [-963.268] (-976.493) (-998.494) (-972.809) -- 0:11:37
312000 -- (-975.727) [-953.715] (-983.189) (-1000.050) * [-967.074] (-1012.983) (-979.037) (-974.771) -- 0:11:36
313000 -- (-976.213) [-960.459] (-975.793) (-978.998) * (-974.119) (-1008.244) [-952.314] (-987.741) -- 0:11:35
314000 -- (-976.428) [-959.914] (-992.478) (-970.091) * (-972.641) (-1005.761) [-962.208] (-971.308) -- 0:11:34
315000 -- (-970.432) [-967.044] (-1006.114) (-974.138) * (-965.112) (-1004.665) [-981.621] (-969.447) -- 0:11:33
Average standard deviation of split frequencies: 0.014052
316000 -- (-1018.300) (-979.868) (-990.639) [-966.280] * (-996.443) (-988.750) (-995.794) [-975.500] -- 0:11:32
317000 -- (-994.583) (-983.033) [-971.596] (-979.012) * (-1014.435) (-974.021) [-984.357] (-980.302) -- 0:11:31
318000 -- (-983.077) (-994.049) (-991.244) [-965.859] * (-1009.731) [-967.837] (-982.450) (-970.592) -- 0:11:30
319000 -- (-991.080) (-972.059) (-996.927) [-964.987] * (-997.149) (-976.752) [-962.647] (-976.658) -- 0:11:29
320000 -- (-998.079) (-980.940) (-986.489) [-970.440] * (-982.182) (-965.726) [-950.635] (-971.280) -- 0:11:28
Average standard deviation of split frequencies: 0.013953
321000 -- [-992.014] (-986.364) (-982.946) (-968.855) * (-982.241) (-966.171) [-962.633] (-984.769) -- 0:11:27
322000 -- (-982.782) [-978.470] (-988.672) (-987.618) * (-984.064) [-957.732] (-983.950) (-983.666) -- 0:11:26
323000 -- (-985.903) [-964.113] (-996.159) (-981.799) * (-997.426) (-968.095) [-967.994] (-978.148) -- 0:11:25
324000 -- (-977.500) [-955.160] (-1027.397) (-985.371) * (-991.787) (-993.184) [-970.012] (-968.963) -- 0:11:24
325000 -- (-993.086) (-973.408) (-986.893) [-970.804] * (-986.879) (-991.087) (-967.157) [-976.111] -- 0:11:23
Average standard deviation of split frequencies: 0.013299
326000 -- (-986.446) (-985.423) [-969.687] (-970.234) * (-1021.244) (-1010.980) [-969.836] (-981.101) -- 0:11:22
327000 -- (-1009.214) (-984.212) (-982.348) [-956.321] * (-1015.839) (-979.755) (-974.256) [-969.894] -- 0:11:23
328000 -- (-973.522) (-986.670) (-971.810) [-958.860] * (-1005.075) (-985.826) (-977.030) [-967.900] -- 0:11:20
329000 -- (-971.182) (-972.937) [-975.613] (-976.386) * (-982.934) (-996.235) (-969.765) [-973.988] -- 0:11:19
330000 -- (-958.434) [-967.980] (-986.375) (-994.822) * (-983.757) (-1001.168) (-982.484) [-963.946] -- 0:11:20
Average standard deviation of split frequencies: 0.013805
331000 -- [-959.055] (-986.388) (-976.970) (-977.740) * (-1008.214) [-968.826] (-974.533) (-976.551) -- 0:11:19
332000 -- [-963.563] (-978.218) (-964.389) (-1002.808) * (-974.597) (-977.762) [-967.955] (-993.295) -- 0:11:18
333000 -- [-974.577] (-985.308) (-971.068) (-1013.957) * (-1002.745) [-961.116] (-974.999) (-994.083) -- 0:11:17
334000 -- [-966.066] (-990.069) (-978.035) (-986.760) * (-1022.287) (-974.847) [-950.571] (-997.797) -- 0:11:15
335000 -- [-958.562] (-985.433) (-960.583) (-990.034) * (-990.643) [-962.336] (-968.602) (-987.323) -- 0:11:14
Average standard deviation of split frequencies: 0.014053
336000 -- [-965.440] (-992.748) (-969.845) (-999.521) * (-1007.278) (-962.834) [-962.417] (-986.716) -- 0:11:13
337000 -- (-978.684) (-1008.532) [-972.946] (-996.574) * (-976.952) (-986.579) [-966.469] (-992.896) -- 0:11:12
338000 -- [-965.385] (-1001.952) (-975.521) (-989.115) * [-979.498] (-989.260) (-968.372) (-991.538) -- 0:11:11
339000 -- (-983.865) [-985.604] (-983.670) (-976.473) * (-989.081) (-982.710) [-953.953] (-994.313) -- 0:11:10
340000 -- [-971.746] (-1012.915) (-988.784) (-979.897) * (-996.758) (-988.885) [-963.367] (-993.358) -- 0:11:09
Average standard deviation of split frequencies: 0.013974
341000 -- [-983.581] (-1010.706) (-1004.336) (-980.716) * (-998.876) (-998.168) [-962.742] (-993.032) -- 0:11:08
342000 -- [-970.708] (-985.602) (-988.910) (-1000.511) * (-978.464) (-994.977) [-971.723] (-974.364) -- 0:11:07
343000 -- [-968.747] (-991.147) (-978.907) (-965.910) * (-998.004) (-971.238) [-968.717] (-977.364) -- 0:11:06
344000 -- [-964.310] (-994.939) (-964.106) (-972.516) * (-993.623) (-998.773) (-993.003) [-967.159] -- 0:11:05
345000 -- [-976.175] (-963.801) (-966.794) (-988.770) * (-965.771) (-983.260) (-1001.977) [-979.973] -- 0:11:04
Average standard deviation of split frequencies: 0.013602
346000 -- (-980.965) [-970.324] (-969.272) (-974.003) * [-959.710] (-980.530) (-1005.801) (-970.704) -- 0:11:03
347000 -- (-981.916) [-969.679] (-968.684) (-993.001) * (-973.743) [-958.715] (-1013.999) (-975.796) -- 0:11:02
348000 -- (-975.873) [-962.758] (-962.755) (-1010.415) * [-959.053] (-988.315) (-1000.984) (-988.489) -- 0:11:01
349000 -- (-986.184) (-975.690) [-968.917] (-989.710) * [-959.887] (-990.292) (-980.380) (-1010.518) -- 0:11:00
350000 -- (-983.797) [-974.780] (-974.785) (-1000.142) * (-967.184) [-961.381] (-1001.548) (-978.337) -- 0:10:59
Average standard deviation of split frequencies: 0.013333
351000 -- [-954.514] (-977.781) (-965.158) (-992.549) * [-952.519] (-970.338) (-1004.119) (-978.016) -- 0:10:58
352000 -- [-959.593] (-1004.165) (-969.910) (-1004.912) * [-954.919] (-970.985) (-1000.947) (-993.429) -- 0:10:57
353000 -- [-957.442] (-994.035) (-972.256) (-975.491) * (-1014.444) [-966.232] (-975.807) (-983.250) -- 0:10:56
354000 -- (-980.346) (-978.245) [-971.445] (-980.269) * (-985.012) [-958.313] (-977.542) (-1004.611) -- 0:10:55
355000 -- (-989.020) (-978.477) [-978.810] (-985.760) * (-973.314) (-971.321) [-979.162] (-980.086) -- 0:10:54
Average standard deviation of split frequencies: 0.012836
356000 -- (-987.092) (-992.416) (-974.167) [-967.550] * (-979.076) [-961.476] (-974.085) (-982.951) -- 0:10:53
357000 -- (-983.710) (-973.073) (-992.967) [-971.183] * (-980.061) [-973.678] (-982.058) (-989.617) -- 0:10:52
358000 -- (-1001.511) [-976.530] (-993.234) (-988.589) * (-983.161) (-972.381) [-973.860] (-993.895) -- 0:10:50
359000 -- (-1000.059) (-978.529) [-964.475] (-991.193) * (-979.345) (-978.603) [-980.661] (-1000.038) -- 0:10:49
360000 -- (-990.751) (-980.694) [-970.422] (-991.338) * (-992.774) (-967.197) [-951.681] (-999.510) -- 0:10:48
Average standard deviation of split frequencies: 0.012728
361000 -- (-985.759) (-986.658) [-965.358] (-987.364) * (-992.759) (-978.632) [-969.083] (-1006.627) -- 0:10:47
362000 -- (-995.504) (-1006.302) [-957.887] (-990.720) * (-1020.461) [-970.860] (-978.309) (-1018.479) -- 0:10:46
363000 -- (-967.324) (-1000.855) [-984.773] (-995.634) * (-1013.348) [-964.666] (-977.461) (-990.261) -- 0:10:45
364000 -- (-976.993) (-989.396) (-977.430) [-976.616] * (-1006.240) [-975.222] (-970.725) (-1006.458) -- 0:10:44
365000 -- (-974.352) [-976.837] (-974.687) (-976.027) * (-995.732) (-969.318) (-993.828) [-968.168] -- 0:10:43
Average standard deviation of split frequencies: 0.013248
366000 -- (-974.521) (-1003.969) [-977.520] (-974.803) * (-986.211) (-973.660) [-974.577] (-975.030) -- 0:10:42
367000 -- (-991.336) (-991.768) [-995.127] (-981.744) * (-963.450) (-979.599) [-983.369] (-999.806) -- 0:10:41
368000 -- (-990.822) (-991.243) (-977.753) [-971.297] * [-954.643] (-974.176) (-996.902) (-1007.959) -- 0:10:42
369000 -- (-993.531) (-974.411) [-966.111] (-1011.509) * (-983.008) (-994.039) [-978.606] (-994.750) -- 0:10:41
370000 -- (-975.889) (-975.351) [-957.657] (-1015.415) * [-963.401] (-985.149) (-975.276) (-986.992) -- 0:10:40
Average standard deviation of split frequencies: 0.012405
371000 -- (-964.991) (-981.528) [-961.193] (-1013.486) * [-975.964] (-978.869) (-998.265) (-981.586) -- 0:10:39
372000 -- (-960.709) (-994.349) [-957.379] (-986.428) * (-998.499) (-971.572) [-966.859] (-995.223) -- 0:10:38
373000 -- [-955.094] (-997.960) (-964.605) (-972.003) * [-976.242] (-989.196) (-973.394) (-1001.932) -- 0:10:37
374000 -- [-960.239] (-991.038) (-960.867) (-986.947) * [-965.854] (-993.602) (-976.905) (-978.836) -- 0:10:36
375000 -- (-973.829) (-1000.941) [-951.111] (-978.734) * (-975.572) (-1004.621) (-990.103) [-986.496] -- 0:10:35
Average standard deviation of split frequencies: 0.012477
376000 -- (-961.685) (-1007.042) [-959.381] (-989.580) * (-975.698) (-996.593) (-996.914) [-978.844] -- 0:10:33
377000 -- [-981.320] (-995.350) (-962.855) (-980.739) * [-973.196] (-989.374) (-981.930) (-975.330) -- 0:10:32
378000 -- (-983.514) (-988.421) [-975.768] (-999.828) * (-975.036) (-980.324) (-975.622) [-973.769] -- 0:10:31
379000 -- [-958.702] (-1011.872) (-971.715) (-982.064) * [-965.989] (-982.431) (-972.294) (-969.736) -- 0:10:30
380000 -- [-954.292] (-997.575) (-978.738) (-983.282) * (-978.535) (-995.894) (-988.135) [-969.313] -- 0:10:29
Average standard deviation of split frequencies: 0.012526
381000 -- [-972.590] (-980.881) (-979.009) (-991.299) * (-972.379) (-997.732) [-981.251] (-967.661) -- 0:10:28
382000 -- (-984.314) (-1006.782) [-959.725] (-1005.845) * (-986.433) (-978.271) [-972.028] (-978.436) -- 0:10:27
383000 -- (-972.589) (-1011.664) [-972.259] (-1007.016) * (-979.469) (-989.283) [-967.695] (-1008.718) -- 0:10:26
384000 -- (-968.856) [-985.981] (-976.783) (-1018.643) * (-970.389) [-984.644] (-973.779) (-994.539) -- 0:10:25
385000 -- (-978.197) [-956.522] (-993.426) (-1010.115) * (-983.041) (-998.786) (-983.986) [-997.472] -- 0:10:24
Average standard deviation of split frequencies: 0.012863
386000 -- (-962.458) [-971.280] (-991.812) (-1002.407) * (-974.323) (-1001.083) (-1003.307) [-983.162] -- 0:10:23
387000 -- (-980.690) (-974.121) [-967.028] (-1004.103) * (-986.044) (-984.468) [-969.850] (-1003.512) -- 0:10:22
388000 -- [-979.563] (-962.496) (-975.426) (-977.036) * [-978.803] (-963.082) (-979.551) (-991.204) -- 0:10:21
389000 -- (-980.000) [-973.012] (-982.787) (-977.853) * (-970.579) [-956.935] (-1002.335) (-982.405) -- 0:10:20
390000 -- (-987.337) (-991.385) [-965.586] (-983.961) * (-981.942) (-972.980) (-981.896) [-969.967] -- 0:10:19
Average standard deviation of split frequencies: 0.012851
391000 -- (-983.888) (-977.931) [-970.409] (-993.626) * (-963.301) [-983.996] (-974.210) (-990.229) -- 0:10:18
392000 -- (-985.867) (-999.341) [-962.934] (-998.885) * [-954.130] (-963.935) (-980.865) (-975.879) -- 0:10:17
393000 -- (-976.359) (-984.006) [-975.357] (-1001.404) * (-967.695) (-986.246) (-972.050) [-967.178] -- 0:10:16
394000 -- (-983.103) (-976.285) [-970.564] (-987.997) * [-951.485] (-995.116) (-981.353) (-964.621) -- 0:10:15
395000 -- (-970.316) [-962.783] (-981.352) (-1005.400) * [-969.851] (-1008.089) (-991.966) (-967.761) -- 0:10:14
Average standard deviation of split frequencies: 0.012995
396000 -- [-967.109] (-996.212) (-977.134) (-979.005) * (-982.548) (-1008.890) (-971.371) [-956.578] -- 0:10:13
397000 -- (-986.013) (-983.263) [-985.554] (-980.247) * (-975.038) (-994.164) [-983.361] (-971.313) -- 0:10:12
398000 -- (-995.399) [-966.372] (-976.605) (-972.407) * (-979.473) (-1010.548) [-955.971] (-974.722) -- 0:10:11
399000 -- (-975.749) [-979.041] (-979.040) (-987.750) * [-979.887] (-982.880) (-960.824) (-987.429) -- 0:10:10
400000 -- (-995.780) (-998.870) [-967.734] (-971.742) * (-994.210) (-983.369) [-959.911] (-1002.676) -- 0:10:09
Average standard deviation of split frequencies: 0.012638
401000 -- (-979.726) (-1022.207) (-962.521) [-982.263] * (-1002.468) (-1007.956) [-960.056] (-979.062) -- 0:10:07
402000 -- (-998.795) (-979.139) [-978.166] (-977.331) * (-998.302) (-977.536) [-959.849] (-983.538) -- 0:10:06
403000 -- [-972.470] (-980.367) (-987.397) (-974.785) * (-983.294) [-985.313] (-972.848) (-993.014) -- 0:10:05
404000 -- (-979.950) [-960.626] (-1001.396) (-958.721) * (-1015.818) [-956.699] (-972.840) (-983.863) -- 0:10:04
405000 -- (-984.347) [-967.716] (-1009.893) (-987.819) * (-1003.312) (-977.219) [-975.038] (-982.935) -- 0:10:03
Average standard deviation of split frequencies: 0.012258
406000 -- (-988.273) [-964.013] (-990.326) (-988.058) * (-980.126) (-990.345) [-984.371] (-978.517) -- 0:10:02
407000 -- [-971.052] (-971.826) (-979.191) (-986.311) * (-990.360) [-973.577] (-997.514) (-984.513) -- 0:10:01
408000 -- [-973.356] (-995.792) (-987.000) (-992.817) * (-980.209) [-973.386] (-989.383) (-958.057) -- 0:10:00
409000 -- (-977.294) (-999.629) (-983.203) [-977.973] * (-985.266) [-974.370] (-984.444) (-978.878) -- 0:09:59
410000 -- [-976.419] (-990.980) (-995.172) (-997.025) * (-986.441) [-965.820] (-984.839) (-967.819) -- 0:09:58
Average standard deviation of split frequencies: 0.011536
411000 -- [-982.061] (-964.796) (-995.285) (-1008.541) * (-1007.576) (-961.473) (-978.138) [-967.585] -- 0:09:57
412000 -- [-977.558] (-961.876) (-1024.373) (-980.932) * (-975.401) [-948.997] (-963.515) (-991.928) -- 0:09:56
413000 -- [-972.505] (-984.109) (-1008.391) (-1014.014) * (-975.374) (-973.554) [-971.142] (-993.777) -- 0:09:55
414000 -- (-986.262) (-989.652) [-990.470] (-1005.276) * [-951.235] (-972.483) (-973.911) (-977.100) -- 0:09:54
415000 -- (-993.923) (-981.943) [-984.385] (-990.758) * (-997.480) (-974.630) [-970.318] (-986.469) -- 0:09:53
Average standard deviation of split frequencies: 0.011577
416000 -- (-998.309) (-982.070) [-953.863] (-989.483) * (-977.830) (-999.483) (-986.899) [-973.519] -- 0:09:52
417000 -- (-971.752) (-985.766) [-971.437] (-1012.125) * (-993.019) (-1008.042) (-979.098) [-967.709] -- 0:09:51
418000 -- (-966.368) (-993.806) [-972.095] (-983.709) * (-1002.594) [-973.384] (-979.085) (-955.687) -- 0:09:50
419000 -- (-979.836) (-990.337) [-974.574] (-978.493) * (-1010.090) (-982.511) (-978.133) [-961.190] -- 0:09:49
420000 -- [-966.483] (-1007.491) (-978.185) (-980.933) * (-986.661) [-956.943] (-976.721) (-963.236) -- 0:09:48
Average standard deviation of split frequencies: 0.011301
421000 -- [-968.985] (-1013.444) (-973.957) (-976.364) * (-985.273) (-985.328) [-979.227] (-971.029) -- 0:09:47
422000 -- [-971.065] (-1002.806) (-989.699) (-977.617) * (-994.625) (-979.998) [-963.879] (-981.658) -- 0:09:46
423000 -- [-956.885] (-991.830) (-973.374) (-1010.671) * (-1018.055) (-988.286) [-962.046] (-1001.441) -- 0:09:45
424000 -- [-965.978] (-993.926) (-972.916) (-994.889) * (-981.697) (-996.615) [-960.536] (-985.919) -- 0:09:44
425000 -- (-974.363) (-993.581) [-967.231] (-1007.888) * (-985.472) (-992.391) (-970.479) [-970.515] -- 0:09:43
Average standard deviation of split frequencies: 0.011508
426000 -- (-972.778) (-986.039) [-978.627] (-991.409) * (-987.356) (-988.511) [-965.511] (-967.517) -- 0:09:42
427000 -- [-966.571] (-982.672) (-997.278) (-980.922) * (-964.227) (-987.047) [-954.061] (-955.617) -- 0:09:42
428000 -- [-980.038] (-993.025) (-985.357) (-976.678) * (-971.255) (-993.329) (-980.814) [-955.127] -- 0:09:41
429000 -- (-989.426) [-975.284] (-983.647) (-1011.341) * (-990.224) (-969.368) (-982.112) [-966.243] -- 0:09:40
430000 -- (-964.347) [-958.148] (-991.877) (-1016.686) * (-1023.049) (-1000.831) (-977.431) [-964.514] -- 0:09:39
Average standard deviation of split frequencies: 0.012003
431000 -- [-969.268] (-961.786) (-976.930) (-1006.146) * (-996.103) (-1008.883) (-975.174) [-964.691] -- 0:09:38
432000 -- [-975.742] (-960.540) (-986.971) (-1010.215) * (-1001.519) (-984.523) (-972.591) [-964.784] -- 0:09:37
433000 -- [-960.761] (-976.785) (-990.759) (-986.838) * (-992.404) (-975.604) (-978.125) [-963.572] -- 0:09:36
434000 -- [-959.686] (-978.385) (-1000.879) (-989.228) * (-998.048) [-970.812] (-977.834) (-971.972) -- 0:09:35
435000 -- (-979.483) (-999.278) [-967.521] (-997.297) * (-990.728) [-948.016] (-962.678) (-981.691) -- 0:09:34
Average standard deviation of split frequencies: 0.012058
436000 -- [-977.282] (-994.233) (-969.747) (-988.089) * (-984.388) (-975.154) [-969.947] (-998.805) -- 0:09:33
437000 -- (-968.924) (-967.929) [-986.024] (-1010.021) * (-997.237) (-983.372) [-970.371] (-991.633) -- 0:09:32
438000 -- (-986.795) (-993.963) [-965.342] (-992.127) * (-974.880) (-978.591) (-961.600) [-986.495] -- 0:09:30
439000 -- (-981.130) (-993.484) [-972.960] (-990.643) * (-989.775) (-971.034) [-976.608] (-991.745) -- 0:09:29
440000 -- [-988.270] (-965.630) (-985.806) (-976.376) * (-1008.922) (-994.075) [-983.153] (-993.426) -- 0:09:28
Average standard deviation of split frequencies: 0.011970
441000 -- [-964.624] (-970.897) (-976.488) (-991.200) * (-998.356) [-970.032] (-993.412) (-979.891) -- 0:09:27
442000 -- [-964.907] (-976.144) (-961.032) (-989.702) * (-991.161) [-968.759] (-979.077) (-979.158) -- 0:09:26
443000 -- (-983.716) (-964.112) [-974.654] (-988.016) * (-998.856) [-959.640] (-983.019) (-973.951) -- 0:09:25
444000 -- (-975.619) [-971.823] (-965.583) (-1004.385) * (-993.000) (-969.285) [-963.986] (-1004.938) -- 0:09:24
445000 -- (-991.212) (-995.709) [-965.998] (-985.553) * [-980.620] (-962.412) (-963.632) (-1013.349) -- 0:09:23
Average standard deviation of split frequencies: 0.011232
446000 -- (-989.932) (-990.942) [-962.689] (-990.695) * (-1006.341) (-984.553) [-963.070] (-983.497) -- 0:09:22
447000 -- [-968.248] (-984.874) (-994.885) (-978.317) * (-1017.055) [-966.259] (-974.021) (-993.071) -- 0:09:21
448000 -- (-985.323) (-974.405) [-970.622] (-997.267) * (-993.371) (-979.588) [-964.473] (-983.110) -- 0:09:20
449000 -- (-988.447) (-998.599) [-973.662] (-996.730) * (-975.485) (-996.821) [-965.079] (-1011.371) -- 0:09:19
450000 -- (-976.100) (-1001.927) [-967.193] (-1009.662) * [-957.355] (-998.955) (-964.048) (-1004.554) -- 0:09:18
Average standard deviation of split frequencies: 0.010744
451000 -- [-976.038] (-1010.647) (-999.211) (-997.902) * [-950.693] (-984.975) (-966.764) (-1000.826) -- 0:09:17
452000 -- (-966.096) (-1003.461) [-963.420] (-988.549) * [-965.990] (-977.813) (-988.212) (-1008.600) -- 0:09:16
453000 -- [-969.792] (-1002.793) (-977.566) (-982.361) * [-958.628] (-965.793) (-970.635) (-997.210) -- 0:09:15
454000 -- (-974.498) (-990.143) (-999.740) [-995.847] * [-961.883] (-966.098) (-989.544) (-979.959) -- 0:09:14
455000 -- [-971.467] (-980.911) (-1001.275) (-991.153) * (-963.514) [-978.500] (-993.008) (-981.197) -- 0:09:13
Average standard deviation of split frequencies: 0.011299
456000 -- [-957.231] (-980.791) (-993.941) (-993.558) * (-974.026) [-968.491] (-988.523) (-970.511) -- 0:09:12
457000 -- [-977.254] (-964.003) (-989.278) (-985.811) * [-978.343] (-959.384) (-997.579) (-973.664) -- 0:09:11
458000 -- (-990.680) [-967.267] (-983.781) (-981.384) * (-984.722) (-972.341) (-979.798) [-961.337] -- 0:09:10
459000 -- (-987.270) [-962.601] (-988.591) (-993.330) * (-981.757) (-998.164) [-969.206] (-964.991) -- 0:09:09
460000 -- (-973.590) (-965.685) [-972.309] (-1001.439) * (-990.331) (-997.935) [-958.409] (-996.633) -- 0:09:08
Average standard deviation of split frequencies: 0.010700
461000 -- (-979.712) [-958.263] (-984.555) (-966.996) * (-962.704) (-998.130) [-962.824] (-1002.903) -- 0:09:07
462000 -- (-977.008) [-959.949] (-1016.775) (-979.146) * [-970.507] (-992.166) (-983.293) (-996.012) -- 0:09:06
463000 -- (-973.887) [-971.492] (-994.696) (-988.319) * (-977.111) (-985.857) (-1001.753) [-978.432] -- 0:09:05
464000 -- (-975.055) [-962.007] (-985.475) (-990.061) * (-987.853) (-968.757) (-993.298) [-965.445] -- 0:09:04
465000 -- (-976.455) [-960.603] (-1010.766) (-969.476) * (-972.553) [-971.778] (-1017.985) (-961.817) -- 0:09:03
Average standard deviation of split frequencies: 0.010622
466000 -- (-965.829) [-957.213] (-978.896) (-990.961) * (-992.726) [-960.725] (-1029.134) (-975.255) -- 0:09:02
467000 -- (-989.388) (-971.018) (-965.696) [-967.123] * [-978.147] (-1001.369) (-998.595) (-983.436) -- 0:09:00
468000 -- (-997.012) [-964.654] (-990.922) (-980.778) * (-961.121) (-977.597) (-986.076) [-971.940] -- 0:08:59
469000 -- (-988.791) (-970.413) (-981.896) [-963.031] * (-982.829) (-972.970) (-971.753) [-958.607] -- 0:08:58
470000 -- (-1009.665) (-979.558) (-971.054) [-959.037] * (-990.487) (-990.105) (-989.622) [-955.118] -- 0:08:57
Average standard deviation of split frequencies: 0.010607
471000 -- (-991.160) (-976.696) [-961.270] (-981.950) * (-1005.351) (-995.290) (-984.098) [-955.467] -- 0:08:56
472000 -- (-992.564) [-957.391] (-956.694) (-974.322) * (-1011.885) (-980.852) (-978.992) [-955.960] -- 0:08:55
473000 -- (-988.258) [-960.205] (-982.630) (-981.404) * (-971.755) [-967.229] (-998.905) (-955.488) -- 0:08:54
474000 -- (-993.848) (-969.418) [-975.423] (-997.539) * (-977.949) [-981.561] (-1000.980) (-960.203) -- 0:08:53
475000 -- (-1004.898) (-991.318) [-969.719] (-969.042) * (-962.224) (-981.952) (-1014.627) [-961.483] -- 0:08:52
Average standard deviation of split frequencies: 0.010553
476000 -- (-990.135) (-1010.360) [-961.913] (-980.113) * [-962.759] (-1002.416) (-1004.939) (-978.480) -- 0:08:51
477000 -- (-989.076) (-984.617) [-958.192] (-997.771) * (-975.646) (-1003.042) (-1010.057) [-981.046] -- 0:08:50
478000 -- (-984.169) [-972.908] (-967.158) (-993.937) * [-964.516] (-985.401) (-1004.484) (-997.111) -- 0:08:49
479000 -- [-965.808] (-968.981) (-979.601) (-997.943) * (-987.635) (-974.419) (-1003.693) [-976.936] -- 0:08:48
480000 -- (-984.435) (-961.345) [-967.969] (-994.657) * (-980.104) [-983.882] (-975.865) (-979.288) -- 0:08:47
Average standard deviation of split frequencies: 0.010322
481000 -- (-990.949) [-968.088] (-982.519) (-984.147) * (-984.203) (-996.274) (-988.240) [-971.517] -- 0:08:46
482000 -- (-986.012) [-972.767] (-989.506) (-976.696) * (-992.294) (-985.600) (-985.881) [-970.430] -- 0:08:45
483000 -- (-982.502) (-979.133) [-975.058] (-974.906) * (-980.383) (-985.715) (-1004.743) [-959.444] -- 0:08:44
484000 -- (-1000.397) [-964.210] (-985.211) (-968.634) * (-987.535) (-957.355) (-986.381) [-970.290] -- 0:08:43
485000 -- (-975.072) [-963.059] (-983.071) (-1002.051) * (-985.067) [-984.457] (-992.659) (-992.663) -- 0:08:42
Average standard deviation of split frequencies: 0.009794
486000 -- (-982.690) [-969.568] (-998.333) (-1006.769) * [-994.244] (-1007.992) (-991.304) (-983.624) -- 0:08:41
487000 -- (-966.532) [-965.555] (-977.438) (-1025.029) * [-964.857] (-993.257) (-991.478) (-989.420) -- 0:08:40
488000 -- [-964.081] (-958.379) (-996.718) (-992.248) * [-961.431] (-1006.635) (-983.677) (-988.134) -- 0:08:39
489000 -- [-972.462] (-969.991) (-995.482) (-998.487) * (-959.446) (-1004.487) [-977.209] (-987.831) -- 0:08:38
490000 -- (-968.771) [-957.174] (-995.594) (-981.896) * [-970.273] (-992.448) (-992.238) (-982.018) -- 0:08:38
Average standard deviation of split frequencies: 0.009824
491000 -- [-966.965] (-979.308) (-994.099) (-959.845) * (-963.947) (-1017.742) [-987.326] (-995.580) -- 0:08:37
492000 -- (-975.308) (-986.201) (-982.388) [-959.582] * (-976.553) (-989.897) (-984.606) [-971.905] -- 0:08:36
493000 -- (-969.013) [-969.941] (-995.005) (-977.269) * (-963.883) (-984.216) (-974.820) [-964.131] -- 0:08:35
494000 -- [-963.870] (-972.385) (-1010.133) (-996.509) * (-984.543) (-989.261) (-967.096) [-968.038] -- 0:08:34
495000 -- [-973.321] (-1001.813) (-1006.977) (-973.576) * (-978.339) (-992.347) (-967.593) [-970.948] -- 0:08:33
Average standard deviation of split frequencies: 0.009627
496000 -- [-965.277] (-982.146) (-996.859) (-971.690) * [-955.538] (-964.074) (-969.014) (-988.479) -- 0:08:32
497000 -- (-971.548) [-968.337] (-995.905) (-982.406) * (-973.738) [-972.118] (-973.946) (-1017.851) -- 0:08:31
498000 -- (-986.949) [-974.991] (-987.349) (-976.673) * (-981.675) (-999.182) [-968.494] (-1006.903) -- 0:08:30
499000 -- (-976.236) [-971.319] (-983.902) (-971.403) * [-968.375] (-994.852) (-984.809) (-1012.726) -- 0:08:29
500000 -- [-974.642] (-971.979) (-1008.491) (-979.083) * (-966.228) (-984.405) [-970.956] (-981.462) -- 0:08:28
Average standard deviation of split frequencies: 0.009643
501000 -- (-972.964) (-982.880) [-954.979] (-993.190) * (-964.887) [-975.656] (-990.440) (-962.053) -- 0:08:26
502000 -- (-992.781) (-984.828) [-954.902] (-997.953) * [-970.968] (-971.182) (-999.933) (-993.659) -- 0:08:25
503000 -- (-1002.456) [-967.058] (-965.493) (-986.564) * [-953.344] (-985.294) (-983.678) (-972.844) -- 0:08:24
504000 -- [-972.928] (-960.861) (-973.378) (-997.351) * (-968.986) [-960.660] (-988.559) (-1001.956) -- 0:08:23
505000 -- (-987.111) [-954.508] (-967.462) (-1005.588) * (-984.980) [-966.586] (-992.625) (-980.191) -- 0:08:22
Average standard deviation of split frequencies: 0.009730
506000 -- (-997.182) (-972.443) [-973.350] (-983.447) * (-980.171) [-969.643] (-1000.158) (-969.803) -- 0:08:21
507000 -- (-1010.159) [-959.930] (-969.322) (-986.753) * (-980.923) [-961.441] (-985.874) (-989.566) -- 0:08:20
508000 -- (-989.736) (-974.071) [-968.308] (-978.093) * (-977.691) [-966.644] (-999.002) (-983.962) -- 0:08:19
509000 -- (-979.641) [-983.121] (-995.662) (-987.651) * (-982.759) [-957.110] (-979.577) (-993.561) -- 0:08:18
510000 -- (-1009.919) (-977.483) (-993.315) [-983.828] * (-997.008) (-967.526) [-979.591] (-968.033) -- 0:08:17
Average standard deviation of split frequencies: 0.009773
511000 -- (-981.048) (-975.060) [-966.092] (-983.243) * (-1002.124) [-972.480] (-974.510) (-985.072) -- 0:08:16
512000 -- (-979.851) (-992.444) [-976.027] (-981.159) * (-994.567) [-965.806] (-989.944) (-985.927) -- 0:08:15
513000 -- [-974.402] (-990.986) (-984.096) (-976.839) * (-983.835) (-976.663) (-979.419) [-967.333] -- 0:08:14
514000 -- (-965.279) (-990.891) [-967.111] (-977.843) * (-996.068) (-994.499) (-986.293) [-958.821] -- 0:08:13
515000 -- (-988.290) (-1002.278) (-973.645) [-967.028] * (-1006.254) (-980.214) (-1004.140) [-962.024] -- 0:08:12
Average standard deviation of split frequencies: 0.009440
516000 -- (-1005.945) (-992.882) (-971.563) [-965.803] * (-973.204) (-991.454) (-998.819) [-951.916] -- 0:08:11
517000 -- (-978.648) (-990.094) [-970.945] (-986.169) * (-970.609) (-1014.484) (-1001.174) [-957.303] -- 0:08:10
518000 -- (-981.109) (-981.705) [-972.939] (-977.722) * [-978.940] (-991.294) (-991.907) (-962.403) -- 0:08:09
519000 -- (-982.157) (-962.335) (-972.371) [-968.509] * (-972.614) [-984.052] (-981.948) (-985.443) -- 0:08:08
520000 -- (-989.861) [-961.538] (-960.005) (-970.310) * (-982.084) [-984.664] (-981.602) (-982.859) -- 0:08:07
Average standard deviation of split frequencies: 0.009781
521000 -- (-989.596) [-970.885] (-969.949) (-972.216) * (-981.703) (-984.347) (-997.209) [-956.509] -- 0:08:06
522000 -- (-980.146) (-999.275) [-963.613] (-977.960) * (-991.049) (-973.942) (-973.233) [-956.143] -- 0:08:05
523000 -- (-994.458) (-1005.906) [-971.961] (-970.661) * (-1027.465) (-973.271) (-964.357) [-970.878] -- 0:08:04
524000 -- [-967.078] (-996.810) (-982.575) (-976.008) * (-975.991) (-990.578) (-979.311) [-977.384] -- 0:08:03
525000 -- [-960.720] (-1018.488) (-1002.023) (-979.075) * (-997.619) (-1002.860) (-970.045) [-962.518] -- 0:08:02
Average standard deviation of split frequencies: 0.009080
526000 -- [-958.656] (-998.434) (-990.250) (-985.773) * (-996.415) (-988.097) [-978.313] (-963.399) -- 0:08:01
527000 -- [-963.401] (-985.386) (-1002.590) (-989.371) * (-1005.248) (-991.406) (-981.488) [-962.386] -- 0:08:00
528000 -- (-979.028) [-989.445] (-995.752) (-1003.457) * (-992.945) (-1009.155) [-964.528] (-966.531) -- 0:07:59
529000 -- (-1008.718) [-970.625] (-986.883) (-1006.734) * [-975.041] (-987.790) (-977.834) (-972.608) -- 0:07:58
530000 -- (-1038.737) [-970.528] (-1001.376) (-989.967) * (-979.726) [-978.394] (-982.266) (-1013.633) -- 0:07:57
Average standard deviation of split frequencies: 0.009150
531000 -- (-1004.308) [-966.009] (-986.385) (-1009.092) * (-982.611) [-974.282] (-980.051) (-1013.805) -- 0:07:56
532000 -- (-1006.439) [-967.027] (-968.209) (-997.736) * [-976.390] (-991.882) (-976.881) (-984.476) -- 0:07:55
533000 -- (-988.933) (-968.425) [-971.439] (-997.499) * [-971.405] (-974.969) (-975.596) (-984.683) -- 0:07:54
534000 -- (-998.596) [-960.768] (-951.626) (-1006.985) * [-970.608] (-987.727) (-989.602) (-994.165) -- 0:07:52
535000 -- [-968.859] (-981.378) (-979.239) (-991.597) * [-964.089] (-984.140) (-986.131) (-996.750) -- 0:07:51
Average standard deviation of split frequencies: 0.009317
536000 -- (-977.086) (-975.625) [-968.750] (-994.982) * [-963.843] (-1009.648) (-970.943) (-1017.242) -- 0:07:50
537000 -- (-977.806) (-974.207) [-963.895] (-1006.267) * [-965.555] (-989.369) (-974.358) (-1013.623) -- 0:07:49
538000 -- [-965.135] (-982.183) (-968.241) (-1010.305) * [-964.826] (-974.618) (-959.092) (-1014.178) -- 0:07:48
539000 -- (-978.938) (-968.421) [-966.865] (-1011.391) * [-970.051] (-975.537) (-970.853) (-1023.338) -- 0:07:47
540000 -- (-972.239) (-966.713) [-962.770] (-1013.452) * [-968.130] (-980.825) (-1020.245) (-987.226) -- 0:07:46
Average standard deviation of split frequencies: 0.009198
541000 -- (-972.686) [-958.210] (-969.210) (-992.922) * [-973.231] (-979.309) (-981.058) (-991.894) -- 0:07:45
542000 -- (-982.802) [-960.521] (-986.328) (-1016.733) * [-966.959] (-978.906) (-981.676) (-982.277) -- 0:07:44
543000 -- (-982.777) (-977.243) (-994.479) [-980.415] * [-965.047] (-978.316) (-994.425) (-976.496) -- 0:07:43
544000 -- (-980.324) [-969.627] (-974.469) (-966.775) * [-971.701] (-984.651) (-989.797) (-997.444) -- 0:07:42
545000 -- (-977.635) [-977.106] (-984.370) (-982.989) * [-980.802] (-987.681) (-987.840) (-1000.398) -- 0:07:41
Average standard deviation of split frequencies: 0.009137
546000 -- (-991.068) [-957.865] (-979.208) (-1001.545) * [-972.193] (-970.043) (-995.946) (-1006.516) -- 0:07:40
547000 -- [-983.775] (-954.469) (-1003.853) (-1018.443) * (-977.216) [-972.209] (-997.173) (-1029.298) -- 0:07:39
548000 -- (-988.319) [-961.334] (-980.952) (-983.368) * (-974.514) [-976.511] (-983.703) (-1001.093) -- 0:07:38
549000 -- (-982.977) [-951.063] (-992.125) (-986.985) * [-965.960] (-978.997) (-985.731) (-977.761) -- 0:07:37
550000 -- (-980.640) [-977.265] (-986.959) (-983.279) * [-947.179] (-986.355) (-964.000) (-979.618) -- 0:07:36
Average standard deviation of split frequencies: 0.008718
551000 -- (-967.385) (-996.820) [-961.109] (-975.650) * [-956.473] (-981.921) (-979.317) (-981.795) -- 0:07:35
552000 -- (-965.751) (-975.189) [-971.418] (-997.553) * (-960.496) [-966.772] (-1001.724) (-981.665) -- 0:07:34
553000 -- (-982.176) [-965.035] (-969.373) (-1002.098) * (-966.314) [-974.619] (-989.660) (-982.252) -- 0:07:33
554000 -- (-963.834) [-965.865] (-979.285) (-1001.107) * (-983.839) [-964.077] (-995.750) (-988.993) -- 0:07:32
555000 -- (-992.972) [-960.471] (-990.182) (-977.618) * (-983.139) [-968.340] (-993.140) (-981.120) -- 0:07:31
Average standard deviation of split frequencies: 0.008868
556000 -- (-1014.326) (-969.148) (-966.543) [-961.659] * (-982.240) [-961.597] (-999.626) (-966.062) -- 0:07:30
557000 -- (-1010.940) (-970.298) [-971.615] (-973.869) * (-954.350) [-960.286] (-1000.860) (-996.228) -- 0:07:30
558000 -- (-1002.473) (-986.271) [-959.093] (-962.638) * [-970.674] (-982.855) (-1002.954) (-991.442) -- 0:07:29
559000 -- (-984.993) (-992.619) (-991.197) [-968.464] * [-962.764] (-988.173) (-977.286) (-1016.191) -- 0:07:28
560000 -- [-982.492] (-978.794) (-974.716) (-990.846) * [-968.211] (-969.506) (-968.855) (-998.563) -- 0:07:27
Average standard deviation of split frequencies: 0.009123
561000 -- (-984.246) (-972.169) (-1002.441) [-984.223] * (-980.851) (-959.231) [-976.434] (-1006.094) -- 0:07:26
562000 -- (-1001.720) [-979.188] (-961.593) (-983.993) * (-973.723) (-972.334) [-968.216] (-1000.657) -- 0:07:25
563000 -- (-990.896) [-974.539] (-985.106) (-974.398) * (-987.223) [-972.196] (-979.713) (-993.132) -- 0:07:23
564000 -- (-988.112) [-968.338] (-958.529) (-983.783) * (-983.334) (-979.260) [-982.253] (-1010.164) -- 0:07:22
565000 -- (-994.117) (-959.613) (-975.383) [-980.044] * (-980.111) (-975.390) [-979.733] (-1009.030) -- 0:07:21
Average standard deviation of split frequencies: 0.009025
566000 -- (-1000.214) [-960.515] (-962.786) (-989.341) * (-993.886) (-986.875) [-965.131] (-1019.876) -- 0:07:20
567000 -- (-985.055) [-964.385] (-968.900) (-995.385) * (-1005.801) (-991.845) [-965.178] (-979.969) -- 0:07:19
568000 -- (-971.100) (-982.637) [-963.367] (-994.430) * (-980.564) [-983.122] (-984.251) (-972.459) -- 0:07:18
569000 -- (-982.804) (-982.678) [-963.071] (-985.794) * [-979.548] (-992.884) (-987.036) (-1001.383) -- 0:07:17
570000 -- (-997.888) [-969.158] (-979.328) (-991.471) * [-966.201] (-976.678) (-993.358) (-981.826) -- 0:07:16
Average standard deviation of split frequencies: 0.009330
571000 -- (-984.097) (-977.485) [-961.927] (-996.623) * (-984.265) [-961.739] (-1010.952) (-963.367) -- 0:07:15
572000 -- (-991.721) [-966.170] (-964.942) (-984.666) * (-979.263) (-978.829) (-995.356) [-974.091] -- 0:07:14
573000 -- (-1019.178) [-973.141] (-990.214) (-976.382) * (-974.886) (-979.243) (-978.899) [-972.326] -- 0:07:13
574000 -- (-1009.507) (-990.186) (-976.234) [-955.554] * (-981.485) [-957.299] (-1005.497) (-975.028) -- 0:07:12
575000 -- (-978.667) (-964.320) (-984.439) [-961.514] * (-981.957) [-955.607] (-1006.925) (-984.134) -- 0:07:11
Average standard deviation of split frequencies: 0.009526
576000 -- (-989.761) (-966.657) (-992.095) [-957.464] * (-991.860) [-975.595] (-988.656) (-999.664) -- 0:07:10
577000 -- [-970.814] (-976.623) (-1001.370) (-979.745) * (-979.284) (-963.528) [-988.919] (-1005.880) -- 0:07:09
578000 -- (-990.283) (-996.791) (-980.653) [-977.589] * (-992.251) (-989.896) [-974.554] (-998.035) -- 0:07:08
579000 -- (-978.400) (-1006.433) (-973.300) [-966.870] * [-967.790] (-994.443) (-977.338) (-972.713) -- 0:07:07
580000 -- (-978.890) (-1003.804) (-979.528) [-959.467] * (-971.833) (-999.567) (-974.110) [-970.932] -- 0:07:06
Average standard deviation of split frequencies: 0.009609
581000 -- (-987.959) (-984.469) [-966.096] (-981.433) * (-974.518) (-1020.475) (-970.751) [-964.257] -- 0:07:05
582000 -- (-1010.137) (-968.117) [-978.310] (-993.588) * (-981.794) (-992.273) (-978.277) [-959.024] -- 0:07:04
583000 -- (-997.576) (-963.986) [-979.618] (-994.483) * (-1009.396) (-994.629) (-981.015) [-956.491] -- 0:07:03
584000 -- (-985.749) (-972.695) [-960.665] (-987.432) * (-977.940) (-999.142) [-968.558] (-955.669) -- 0:07:02
585000 -- (-996.893) (-984.267) [-979.109] (-968.323) * (-984.077) (-969.210) (-999.305) [-967.195] -- 0:07:01
Average standard deviation of split frequencies: 0.009165
586000 -- [-969.922] (-973.321) (-974.668) (-968.286) * (-997.303) [-975.990] (-984.910) (-979.485) -- 0:07:00
587000 -- (-975.322) [-968.244] (-975.474) (-979.879) * (-999.248) (-976.536) (-1005.538) [-971.330] -- 0:06:59
588000 -- (-992.985) (-990.903) (-975.975) [-971.665] * (-1001.580) (-996.524) (-995.085) [-968.962] -- 0:06:58
589000 -- (-1004.406) (-979.612) [-972.863] (-990.978) * (-986.083) [-973.185] (-1013.009) (-993.908) -- 0:06:57
590000 -- (-988.503) (-980.561) [-970.472] (-997.604) * (-1000.741) (-998.947) [-978.346] (-976.883) -- 0:06:56
Average standard deviation of split frequencies: 0.009381
591000 -- (-999.743) [-991.687] (-974.328) (-965.782) * (-1025.647) (-988.264) [-966.268] (-980.098) -- 0:06:55
592000 -- (-981.256) (-996.305) (-982.283) [-968.279] * (-993.672) (-988.337) [-966.315] (-984.774) -- 0:06:54
593000 -- (-992.768) (-994.738) (-979.822) [-976.870] * (-982.028) (-994.758) [-966.994] (-996.983) -- 0:06:53
594000 -- [-968.202] (-994.823) (-998.103) (-962.456) * [-972.190] (-1019.698) (-968.839) (-995.172) -- 0:06:52
595000 -- (-984.328) (-965.894) (-987.231) [-974.030] * [-975.558] (-994.213) (-966.533) (-995.297) -- 0:06:51
Average standard deviation of split frequencies: 0.009206
596000 -- (-994.974) [-946.317] (-975.150) (-981.580) * [-979.600] (-969.667) (-989.464) (-985.948) -- 0:06:50
597000 -- (-1019.403) (-966.393) (-984.459) [-976.272] * (-975.071) (-987.162) [-961.602] (-1006.051) -- 0:06:49
598000 -- (-976.965) [-956.357] (-976.259) (-980.779) * (-971.841) (-987.949) [-960.101] (-997.274) -- 0:06:48
599000 -- (-986.369) (-973.279) (-984.510) [-956.050] * [-973.223] (-998.960) (-960.113) (-1002.874) -- 0:06:47
600000 -- (-998.055) (-983.270) (-974.005) [-968.653] * [-979.965] (-1016.455) (-987.546) (-987.490) -- 0:06:46
Average standard deviation of split frequencies: 0.009289
601000 -- (-988.339) [-954.148] (-970.896) (-985.236) * (-1005.031) (-976.800) [-960.132] (-979.103) -- 0:06:44
602000 -- (-1000.368) (-978.093) [-975.297] (-989.859) * [-990.535] (-981.573) (-980.266) (-996.071) -- 0:06:43
603000 -- (-996.145) (-1000.506) [-969.118] (-988.936) * [-977.293] (-973.367) (-984.739) (-994.054) -- 0:06:42
604000 -- (-996.703) (-1002.647) [-972.580] (-977.034) * [-966.382] (-979.402) (-969.728) (-992.040) -- 0:06:41
605000 -- (-996.280) (-1014.660) (-978.317) [-967.503] * (-989.503) (-972.995) [-958.107] (-997.234) -- 0:06:40
Average standard deviation of split frequencies: 0.009011
606000 -- (-1005.223) (-994.710) [-967.006] (-970.509) * (-985.827) (-986.648) [-965.411] (-1005.056) -- 0:06:39
607000 -- (-1002.792) (-968.765) (-996.720) [-961.020] * (-979.120) (-990.216) [-968.316] (-999.483) -- 0:06:38
608000 -- (-1027.889) (-973.742) (-984.038) [-973.444] * (-974.827) (-997.704) [-969.327] (-993.599) -- 0:06:37
609000 -- (-1007.943) [-953.276] (-978.480) (-1008.360) * (-994.439) (-981.066) (-989.417) [-968.138] -- 0:06:36
610000 -- (-993.472) (-985.501) (-985.063) [-995.485] * (-988.192) (-977.280) [-976.783] (-969.640) -- 0:06:35
Average standard deviation of split frequencies: 0.009418
611000 -- (-970.692) [-970.982] (-986.868) (-997.746) * (-970.915) [-968.605] (-986.327) (-957.715) -- 0:06:34
612000 -- [-969.882] (-984.492) (-981.451) (-1013.086) * (-979.169) [-966.032] (-1007.369) (-976.278) -- 0:06:33
613000 -- (-980.358) [-977.621] (-977.735) (-1009.741) * (-986.390) (-988.679) (-988.006) [-974.241] -- 0:06:32
614000 -- (-973.016) (-984.572) [-956.621] (-996.658) * (-991.814) [-970.826] (-1006.648) (-980.545) -- 0:06:31
615000 -- (-986.497) (-987.696) [-972.067] (-989.003) * (-987.259) (-977.433) (-993.362) [-979.295] -- 0:06:30
Average standard deviation of split frequencies: 0.009196
616000 -- [-981.723] (-969.003) (-989.047) (-993.300) * (-994.750) [-983.802] (-996.221) (-972.742) -- 0:06:29
617000 -- (-967.344) [-961.742] (-986.959) (-994.789) * (-983.533) (-1009.611) (-1011.760) [-959.218] -- 0:06:28
618000 -- (-966.795) [-964.140] (-982.996) (-993.064) * (-970.958) (-1018.535) (-1002.817) [-963.414] -- 0:06:27
619000 -- (-977.415) (-980.065) [-970.908] (-984.506) * (-977.179) (-1000.017) (-1006.138) [-976.248] -- 0:06:26
620000 -- (-1000.186) (-982.807) [-976.183] (-991.925) * (-964.298) (-982.268) (-993.091) [-967.441] -- 0:06:25
Average standard deviation of split frequencies: 0.009088
621000 -- [-967.389] (-981.134) (-975.176) (-991.633) * (-967.183) (-962.945) (-981.695) [-962.816] -- 0:06:24
622000 -- [-965.899] (-995.618) (-985.921) (-975.638) * (-977.698) (-975.309) (-1003.614) [-977.835] -- 0:06:23
623000 -- (-964.728) (-990.289) (-985.838) [-965.089] * [-973.198] (-972.059) (-1001.003) (-968.890) -- 0:06:22
624000 -- [-971.525] (-989.458) (-985.160) (-975.668) * [-971.615] (-985.173) (-964.118) (-993.230) -- 0:06:21
625000 -- [-966.982] (-978.166) (-982.598) (-983.911) * [-977.589] (-991.501) (-975.560) (-976.124) -- 0:06:20
Average standard deviation of split frequencies: 0.009266
626000 -- [-971.857] (-972.025) (-975.989) (-978.778) * (-981.734) (-1012.515) (-975.158) [-970.331] -- 0:06:19
627000 -- (-972.957) (-997.518) (-987.278) [-968.522] * [-969.038] (-1019.534) (-983.529) (-986.668) -- 0:06:18
628000 -- (-964.692) (-989.027) (-998.074) [-965.085] * (-996.287) (-995.253) (-973.654) [-973.966] -- 0:06:17
629000 -- [-965.890] (-995.464) (-974.000) (-967.902) * (-994.649) (-996.838) (-972.087) [-964.526] -- 0:06:16
630000 -- [-960.100] (-1004.514) (-998.293) (-984.687) * (-987.736) [-967.798] (-971.816) (-984.862) -- 0:06:15
Average standard deviation of split frequencies: 0.009434
631000 -- [-968.763] (-979.951) (-982.825) (-996.459) * (-991.050) (-966.740) [-963.766] (-987.206) -- 0:06:14
632000 -- [-950.255] (-970.931) (-988.117) (-993.690) * (-990.327) [-964.402] (-970.555) (-982.955) -- 0:06:13
633000 -- (-975.336) [-969.275] (-999.045) (-1010.944) * (-991.013) [-967.636] (-971.577) (-992.659) -- 0:06:12
634000 -- [-969.891] (-965.994) (-980.825) (-994.175) * (-991.026) [-979.130] (-965.986) (-999.473) -- 0:06:11
635000 -- (-961.334) [-964.373] (-992.080) (-974.929) * (-997.394) (-985.397) [-955.875] (-987.532) -- 0:06:10
Average standard deviation of split frequencies: 0.009397
636000 -- [-964.913] (-995.357) (-999.312) (-979.299) * (-989.073) (-990.131) [-972.835] (-995.323) -- 0:06:09
637000 -- (-992.602) [-983.921] (-976.403) (-982.597) * (-980.924) [-966.672] (-983.689) (-1003.769) -- 0:06:08
638000 -- [-973.434] (-987.041) (-996.625) (-979.791) * (-995.216) (-971.989) [-964.560] (-993.727) -- 0:06:07
639000 -- [-964.575] (-990.070) (-968.289) (-978.653) * (-975.487) (-961.299) [-959.633] (-1005.738) -- 0:06:06
640000 -- [-966.808] (-991.106) (-983.109) (-962.493) * (-977.646) [-977.800] (-974.256) (-971.599) -- 0:06:05
Average standard deviation of split frequencies: 0.009603
641000 -- (-974.674) (-1000.751) (-963.951) [-970.800] * (-993.875) [-960.409] (-1006.708) (-979.152) -- 0:06:04
642000 -- (-950.071) (-1001.210) [-974.826] (-977.086) * [-978.588] (-970.857) (-1012.177) (-991.455) -- 0:06:03
643000 -- [-967.103] (-1001.228) (-993.771) (-966.450) * (-974.953) [-987.406] (-1010.910) (-982.775) -- 0:06:02
644000 -- (-1009.859) (-967.257) (-989.901) [-968.175] * (-971.907) (-977.905) (-1007.313) [-974.419] -- 0:06:01
645000 -- (-977.052) [-968.101] (-970.829) (-982.573) * (-972.477) [-959.987] (-967.303) (-998.504) -- 0:06:00
Average standard deviation of split frequencies: 0.009536
646000 -- (-964.366) [-966.447] (-986.621) (-989.829) * (-974.372) [-957.115] (-985.254) (-998.240) -- 0:05:59
647000 -- (-981.101) [-962.824] (-977.675) (-968.090) * (-985.655) [-950.213] (-984.450) (-976.236) -- 0:05:58
648000 -- (-971.513) [-952.608] (-971.723) (-984.251) * (-970.410) [-960.095] (-981.436) (-990.406) -- 0:05:57
649000 -- (-960.744) (-975.879) (-986.849) [-966.529] * (-973.167) [-975.076] (-984.889) (-1017.873) -- 0:05:56
650000 -- [-966.276] (-971.622) (-983.839) (-981.994) * (-966.929) [-972.275] (-989.848) (-998.435) -- 0:05:55
Average standard deviation of split frequencies: 0.009283
651000 -- (-980.308) (-980.370) [-970.133] (-998.293) * (-988.921) [-972.013] (-980.066) (-991.218) -- 0:05:54
652000 -- [-980.669] (-970.308) (-975.358) (-1004.546) * (-996.230) (-980.957) [-976.233] (-984.349) -- 0:05:53
653000 -- (-982.762) (-969.387) [-974.743] (-994.501) * (-994.266) (-979.544) [-949.080] (-992.235) -- 0:05:52
654000 -- [-987.136] (-980.352) (-983.230) (-996.749) * (-968.395) (-982.185) [-956.565] (-979.155) -- 0:05:51
655000 -- [-979.209] (-979.970) (-980.931) (-978.026) * (-986.541) (-970.361) [-964.312] (-980.825) -- 0:05:50
Average standard deviation of split frequencies: 0.008842
656000 -- (-982.633) (-978.396) (-1004.850) [-966.104] * (-984.213) (-1004.361) [-977.427] (-988.501) -- 0:05:49
657000 -- [-962.463] (-985.911) (-1010.272) (-960.843) * (-983.821) (-992.706) (-985.026) [-977.095] -- 0:05:48
658000 -- (-975.201) (-970.734) (-1011.407) [-969.304] * (-988.296) (-985.546) [-977.221] (-996.145) -- 0:05:47
659000 -- (-979.969) (-963.241) [-977.876] (-977.387) * (-959.073) (-978.170) [-968.240] (-993.715) -- 0:05:46
660000 -- [-967.917] (-964.787) (-988.673) (-978.456) * (-966.979) [-968.130] (-990.413) (-1007.240) -- 0:05:45
Average standard deviation of split frequencies: 0.009010
661000 -- [-964.664] (-992.307) (-990.042) (-981.420) * [-984.777] (-985.856) (-1005.929) (-1011.890) -- 0:05:44
662000 -- (-967.797) (-1013.314) [-964.363] (-973.644) * [-965.404] (-992.780) (-998.366) (-997.693) -- 0:05:43
663000 -- (-951.325) (-1017.713) [-967.543] (-981.312) * [-955.523] (-985.147) (-1005.792) (-986.790) -- 0:05:42
664000 -- [-968.248] (-995.376) (-982.277) (-968.988) * (-975.046) (-976.667) (-997.877) [-973.058] -- 0:05:41
665000 -- (-970.119) (-998.788) (-999.138) [-976.057] * (-980.521) [-963.685] (-1008.853) (-981.874) -- 0:05:40
Average standard deviation of split frequencies: 0.009130
666000 -- [-963.541] (-990.768) (-995.948) (-964.493) * (-974.046) [-973.127] (-1007.725) (-988.321) -- 0:05:39
667000 -- [-963.482] (-1008.435) (-976.353) (-965.986) * [-958.182] (-999.278) (-989.322) (-978.039) -- 0:05:37
668000 -- [-967.674] (-982.861) (-974.396) (-981.263) * [-963.312] (-978.955) (-983.595) (-991.426) -- 0:05:36
669000 -- (-977.584) (-980.512) (-971.933) [-953.356] * [-953.646] (-1008.677) (-1002.368) (-980.268) -- 0:05:35
670000 -- (-969.627) [-985.581] (-980.967) (-978.363) * [-970.849] (-1013.902) (-990.477) (-981.625) -- 0:05:34
Average standard deviation of split frequencies: 0.008840
671000 -- (-1000.133) (-1001.107) [-961.560] (-970.713) * (-975.298) (-996.594) [-977.732] (-987.178) -- 0:05:33
672000 -- (-1010.282) (-999.047) (-982.357) [-966.377] * [-956.820] (-999.774) (-982.315) (-974.055) -- 0:05:32
673000 -- (-992.687) (-1000.971) (-989.619) [-983.488] * [-955.724] (-995.970) (-975.232) (-980.515) -- 0:05:31
674000 -- (-988.131) [-988.027] (-991.289) (-979.106) * [-968.197] (-970.724) (-986.834) (-988.705) -- 0:05:30
675000 -- (-977.980) [-981.535] (-986.337) (-961.935) * (-965.718) (-978.617) (-974.849) [-974.536] -- 0:05:29
Average standard deviation of split frequencies: 0.008865
676000 -- [-960.953] (-991.841) (-976.837) (-976.427) * (-967.919) [-971.757] (-983.662) (-981.398) -- 0:05:28
677000 -- (-985.946) [-969.704] (-1000.262) (-991.760) * (-973.632) (-963.511) [-976.445] (-991.411) -- 0:05:28
678000 -- (-985.446) [-966.731] (-1002.267) (-984.458) * (-975.602) [-965.915] (-977.498) (-1004.294) -- 0:05:27
679000 -- (-991.135) [-959.833] (-998.363) (-977.165) * (-978.813) (-979.594) [-979.124] (-1006.757) -- 0:05:26
680000 -- (-981.967) (-975.195) (-1011.856) [-958.948] * (-968.478) [-965.039] (-991.001) (-997.597) -- 0:05:25
Average standard deviation of split frequencies: 0.008851
681000 -- (-984.687) (-979.375) (-990.526) [-962.539] * (-971.371) [-981.328] (-983.472) (-1011.185) -- 0:05:24
682000 -- (-982.141) (-987.329) (-982.878) [-962.646] * (-989.036) [-980.898] (-987.807) (-1000.721) -- 0:05:23
683000 -- (-979.316) (-977.686) (-974.953) [-964.487] * (-992.382) [-952.481] (-977.984) (-991.870) -- 0:05:22
684000 -- (-969.696) (-980.054) (-989.027) [-956.615] * (-1011.075) (-964.895) (-970.645) [-979.786] -- 0:05:21
685000 -- (-973.614) [-967.408] (-991.493) (-977.821) * (-998.287) (-990.839) (-987.625) [-979.686] -- 0:05:20
Average standard deviation of split frequencies: 0.008898
686000 -- (-996.208) [-967.859] (-994.013) (-967.942) * (-989.038) (-985.611) [-974.864] (-1001.985) -- 0:05:19
687000 -- (-988.792) [-980.842] (-989.496) (-986.578) * (-988.317) (-986.933) [-967.384] (-998.748) -- 0:05:18
688000 -- (-991.664) [-971.694] (-982.302) (-974.156) * (-991.317) (-997.723) [-966.028] (-994.486) -- 0:05:16
689000 -- (-986.438) [-961.479] (-981.174) (-966.990) * (-986.048) (-988.153) [-964.038] (-996.450) -- 0:05:15
690000 -- (-979.339) [-960.735] (-997.354) (-977.848) * [-960.469] (-984.433) (-984.498) (-970.641) -- 0:05:14
Average standard deviation of split frequencies: 0.008691
691000 -- (-985.077) (-957.116) (-978.580) [-974.298] * [-972.035] (-983.010) (-1001.054) (-981.453) -- 0:05:13
692000 -- (-985.930) [-955.178] (-980.865) (-979.939) * (-975.287) (-964.387) (-976.070) [-975.331] -- 0:05:12
693000 -- (-977.738) (-992.489) [-963.947] (-987.678) * (-975.796) (-982.355) (-995.637) [-957.418] -- 0:05:11
694000 -- [-964.772] (-996.253) (-970.545) (-976.834) * (-976.942) (-974.531) (-1006.802) [-971.645] -- 0:05:10
695000 -- (-978.588) (-964.723) (-988.219) [-969.796] * (-1012.027) [-972.979] (-994.982) (-986.531) -- 0:05:09
Average standard deviation of split frequencies: 0.008410
696000 -- [-976.324] (-975.416) (-1017.611) (-973.220) * (-1003.398) [-972.428] (-1002.810) (-1003.021) -- 0:05:08
697000 -- [-967.675] (-972.619) (-990.957) (-965.196) * (-990.685) [-963.930] (-994.246) (-987.633) -- 0:05:07
698000 -- [-962.145] (-981.347) (-985.969) (-985.479) * (-1002.759) [-975.953] (-975.202) (-1008.584) -- 0:05:06
699000 -- [-983.081] (-986.806) (-990.091) (-1007.213) * (-990.193) (-999.306) (-969.607) [-986.758] -- 0:05:05
700000 -- [-966.409] (-980.898) (-979.932) (-987.507) * (-998.951) (-1011.122) [-968.883] (-985.279) -- 0:05:04
Average standard deviation of split frequencies: 0.008677
701000 -- [-971.301] (-988.576) (-977.051) (-1023.096) * [-991.165] (-976.103) (-973.923) (-998.413) -- 0:05:03
702000 -- (-985.374) (-978.135) [-970.705] (-1014.094) * (-1002.548) (-973.291) [-972.362] (-981.228) -- 0:05:02
703000 -- (-996.831) (-966.243) [-958.444] (-990.332) * (-995.141) [-981.679] (-974.620) (-984.737) -- 0:05:01
704000 -- (-993.501) [-968.246] (-976.477) (-1012.076) * (-999.062) (-991.847) [-970.749] (-983.829) -- 0:05:00
705000 -- (-980.220) [-965.510] (-976.965) (-1014.002) * (-1011.446) (-984.397) [-975.286] (-982.871) -- 0:04:59
Average standard deviation of split frequencies: 0.008703
706000 -- (-986.402) [-972.822] (-992.090) (-990.568) * (-990.911) (-974.903) [-970.596] (-981.173) -- 0:04:58
707000 -- [-968.090] (-987.756) (-998.045) (-977.607) * (-978.197) (-972.512) [-971.769] (-979.395) -- 0:04:57
708000 -- (-994.868) (-977.483) (-984.717) [-962.400] * (-978.021) (-968.738) [-974.162] (-982.383) -- 0:04:56
709000 -- (-963.009) (-983.057) (-981.481) [-973.347] * [-977.130] (-984.020) (-983.455) (-997.477) -- 0:04:55
710000 -- [-960.152] (-1001.954) (-987.056) (-971.966) * [-971.173] (-987.571) (-977.555) (-993.800) -- 0:04:54
Average standard deviation of split frequencies: 0.008395
711000 -- [-975.772] (-1003.657) (-989.240) (-976.143) * [-963.437] (-1001.290) (-972.749) (-989.606) -- 0:04:53
712000 -- [-964.197] (-1018.460) (-984.824) (-984.614) * (-987.660) (-989.111) [-964.579] (-992.587) -- 0:04:52
713000 -- [-956.696] (-1010.567) (-980.718) (-994.787) * [-975.846] (-974.317) (-968.147) (-976.260) -- 0:04:51
714000 -- (-948.557) (-1005.203) [-972.745] (-1007.569) * (-999.107) (-999.311) (-971.519) [-971.635] -- 0:04:50
715000 -- (-956.879) (-1014.093) [-959.089] (-994.513) * (-1006.368) (-1005.510) (-988.594) [-976.676] -- 0:04:49
Average standard deviation of split frequencies: 0.008434
716000 -- [-970.004] (-1005.480) (-978.948) (-1010.057) * (-997.863) [-982.512] (-974.240) (-984.248) -- 0:04:48
717000 -- (-994.079) (-996.066) [-973.588] (-1001.745) * (-984.017) [-973.549] (-985.907) (-966.819) -- 0:04:47
718000 -- (-1005.355) (-979.747) [-968.252] (-985.405) * (-986.747) (-982.435) (-991.311) [-961.022] -- 0:04:46
719000 -- (-1009.422) (-1012.270) [-963.309] (-984.906) * (-985.651) (-975.588) (-988.938) [-963.937] -- 0:04:45
720000 -- (-995.843) (-967.082) (-1004.030) [-968.353] * (-981.315) (-976.362) (-984.044) [-974.889] -- 0:04:44
Average standard deviation of split frequencies: 0.008320
721000 -- (-985.146) [-969.702] (-988.994) (-981.246) * (-1005.702) (-979.405) [-982.778] (-975.389) -- 0:04:43
722000 -- (-981.381) (-980.676) [-971.924] (-973.135) * (-995.043) [-978.655] (-975.968) (-995.346) -- 0:04:42
723000 -- (-993.889) (-975.396) [-979.558] (-968.217) * (-976.927) (-983.173) [-983.194] (-988.849) -- 0:04:41
724000 -- [-971.933] (-971.547) (-1004.955) (-1009.527) * [-970.239] (-972.671) (-977.084) (-978.608) -- 0:04:40
725000 -- (-987.725) (-994.399) [-984.391] (-989.604) * [-962.337] (-980.614) (-994.317) (-977.489) -- 0:04:39
Average standard deviation of split frequencies: 0.008464
726000 -- [-965.898] (-971.865) (-987.598) (-1005.435) * [-982.463] (-968.814) (-997.758) (-988.666) -- 0:04:38
727000 -- [-970.342] (-978.369) (-982.216) (-991.141) * (-979.799) (-987.374) (-993.047) [-972.444] -- 0:04:37
728000 -- (-976.768) (-987.126) [-980.314] (-989.432) * (-980.181) [-975.552] (-1015.092) (-989.204) -- 0:04:36
729000 -- (-973.398) [-963.651] (-995.854) (-978.746) * (-968.612) [-968.032] (-1003.176) (-989.935) -- 0:04:35
730000 -- (-973.486) [-968.189] (-974.184) (-1010.968) * (-1001.460) [-969.055] (-973.085) (-979.099) -- 0:04:34
Average standard deviation of split frequencies: 0.008376
731000 -- (-982.436) [-965.857] (-973.457) (-1004.880) * (-979.825) [-972.027] (-964.457) (-989.415) -- 0:04:33
732000 -- (-982.500) (-954.340) [-953.618] (-990.099) * (-993.316) (-992.192) [-968.046] (-980.355) -- 0:04:32
733000 -- (-986.662) (-960.704) [-967.534] (-997.350) * (-988.710) (-991.905) [-964.939] (-993.773) -- 0:04:31
734000 -- (-977.903) [-964.921] (-990.110) (-988.031) * (-990.255) (-975.988) [-967.923] (-1009.502) -- 0:04:30
735000 -- (-974.931) (-974.400) [-968.216] (-976.131) * (-971.888) (-993.909) (-992.551) [-971.313] -- 0:04:29
Average standard deviation of split frequencies: 0.008237
736000 -- (-961.803) (-977.335) [-970.916] (-989.065) * (-1004.625) (-989.106) [-978.567] (-967.432) -- 0:04:28
737000 -- [-965.180] (-996.944) (-955.770) (-993.523) * (-1003.416) [-961.943] (-975.746) (-959.591) -- 0:04:27
738000 -- [-970.720] (-989.009) (-986.459) (-979.411) * (-1009.214) (-970.739) (-971.682) [-959.910] -- 0:04:26
739000 -- [-975.696] (-995.038) (-974.909) (-986.964) * (-977.694) [-958.272] (-975.153) (-1009.803) -- 0:04:25
740000 -- (-964.254) (-1010.378) [-960.257] (-982.806) * (-965.465) [-959.017] (-960.605) (-1000.069) -- 0:04:24
Average standard deviation of split frequencies: 0.007917
741000 -- (-981.617) (-998.931) (-965.834) [-968.652] * (-975.477) [-972.441] (-974.274) (-1015.361) -- 0:04:23
742000 -- (-996.380) (-987.218) (-973.521) [-969.647] * [-972.500] (-982.678) (-981.698) (-998.623) -- 0:04:22
743000 -- (-996.907) (-993.221) (-978.897) [-974.406] * [-972.324] (-987.602) (-977.847) (-996.187) -- 0:04:21
744000 -- (-1003.952) (-1004.697) [-966.869] (-962.859) * [-968.569] (-976.576) (-999.431) (-995.297) -- 0:04:20
745000 -- (-977.187) (-995.556) (-980.170) [-964.700] * (-973.500) [-955.441] (-984.948) (-1003.576) -- 0:04:19
Average standard deviation of split frequencies: 0.008001
746000 -- (-981.816) (-981.132) (-967.547) [-977.522] * [-969.296] (-961.734) (-970.131) (-1002.364) -- 0:04:18
747000 -- (-994.775) (-962.716) [-968.878] (-991.243) * (-988.332) [-969.851] (-973.180) (-996.978) -- 0:04:17
748000 -- (-985.215) (-963.260) [-976.198] (-998.575) * [-975.648] (-972.184) (-988.547) (-1001.389) -- 0:04:16
749000 -- (-1003.623) (-977.086) [-977.588] (-988.167) * [-971.523] (-990.903) (-980.723) (-996.732) -- 0:04:15
750000 -- (-980.249) (-972.243) (-987.122) [-971.569] * (-978.760) (-990.916) [-970.506] (-1009.703) -- 0:04:14
Average standard deviation of split frequencies: 0.008291
751000 -- (-989.766) (-989.777) (-978.573) [-963.782] * (-983.633) (-977.775) [-966.314] (-1011.886) -- 0:04:12
752000 -- (-991.051) [-984.529] (-973.314) (-978.688) * (-993.585) [-965.955] (-954.513) (-986.865) -- 0:04:11
753000 -- (-1018.455) [-966.805] (-985.041) (-985.906) * (-982.714) (-1004.100) (-976.744) [-981.593] -- 0:04:10
754000 -- (-1008.491) (-959.976) (-976.463) [-971.334] * [-975.995] (-1011.717) (-966.621) (-976.413) -- 0:04:09
755000 -- (-1004.199) [-976.797] (-1011.389) (-965.238) * (-999.298) (-999.822) (-964.005) [-973.342] -- 0:04:08
Average standard deviation of split frequencies: 0.008307
756000 -- (-986.422) [-981.044] (-1021.168) (-986.742) * (-981.778) (-1003.600) [-961.330] (-981.763) -- 0:04:07
757000 -- (-983.767) (-977.493) (-983.601) [-972.941] * (-988.298) (-991.788) [-968.607] (-993.238) -- 0:04:06
758000 -- [-979.332] (-980.926) (-982.606) (-982.913) * [-971.387] (-995.160) (-991.883) (-990.209) -- 0:04:06
759000 -- [-971.426] (-988.274) (-979.968) (-992.308) * (-975.000) (-995.899) (-985.400) [-985.646] -- 0:04:05
760000 -- (-969.584) [-964.688] (-985.211) (-1003.898) * [-971.968] (-999.222) (-986.573) (-983.611) -- 0:04:04
Average standard deviation of split frequencies: 0.008172
761000 -- (-978.950) (-965.278) [-965.376] (-987.956) * (-1009.858) (-989.645) (-977.161) [-980.007] -- 0:04:03
762000 -- (-973.824) [-948.828] (-972.717) (-983.715) * (-990.896) (-978.739) (-978.534) [-980.898] -- 0:04:01
763000 -- (-983.767) [-970.717] (-996.406) (-975.438) * (-995.271) (-979.527) [-978.438] (-983.974) -- 0:04:00
764000 -- (-964.644) [-972.334] (-981.019) (-987.087) * (-1006.816) (-989.213) [-988.864] (-976.274) -- 0:03:59
765000 -- (-970.886) (-973.675) [-973.909] (-983.497) * (-1002.656) (-978.441) [-972.801] (-1007.504) -- 0:03:58
Average standard deviation of split frequencies: 0.008313
766000 -- (-987.665) (-986.716) (-976.063) [-973.103] * (-990.946) [-958.324] (-977.977) (-986.785) -- 0:03:57
767000 -- (-1001.996) (-978.511) [-971.878] (-977.943) * (-991.438) (-971.845) [-960.337] (-985.608) -- 0:03:56
768000 -- [-981.068] (-983.206) (-984.734) (-1010.123) * (-988.979) [-965.117] (-979.906) (-1000.620) -- 0:03:55
769000 -- (-998.137) [-978.470] (-985.239) (-992.526) * (-991.826) [-964.032] (-989.722) (-975.196) -- 0:03:54
770000 -- (-1011.355) [-967.958] (-968.574) (-985.610) * (-1009.384) [-977.483] (-996.258) (-967.871) -- 0:03:53
Average standard deviation of split frequencies: 0.008232
771000 -- (-1012.038) [-970.453] (-995.847) (-1015.792) * (-999.568) [-969.256] (-996.549) (-966.446) -- 0:03:52
772000 -- [-971.004] (-973.837) (-987.323) (-1018.349) * (-984.875) [-970.534] (-987.207) (-980.165) -- 0:03:51
773000 -- (-972.779) [-975.616] (-994.532) (-988.594) * (-980.846) [-970.361] (-980.834) (-1004.634) -- 0:03:50
774000 -- [-974.254] (-984.897) (-993.743) (-975.065) * (-990.933) [-959.931] (-985.562) (-1013.636) -- 0:03:49
775000 -- (-999.531) [-978.113] (-1007.189) (-983.108) * (-977.853) [-971.864] (-981.452) (-1017.740) -- 0:03:48
Average standard deviation of split frequencies: 0.008536
776000 -- (-995.877) (-1003.940) (-985.201) [-984.034] * (-966.354) [-968.558] (-969.444) (-984.234) -- 0:03:47
777000 -- (-993.818) (-979.386) (-975.427) [-968.677] * (-967.948) [-972.083] (-983.641) (-980.545) -- 0:03:46
778000 -- (-990.948) (-974.213) (-967.262) [-965.249] * (-996.201) (-980.302) [-955.392] (-982.868) -- 0:03:45
779000 -- (-991.577) [-962.684] (-973.178) (-969.758) * (-990.686) (-999.212) [-950.942] (-981.100) -- 0:03:44
780000 -- (-979.105) [-955.639] (-1007.866) (-995.421) * (-1001.833) (-996.864) [-966.545] (-996.774) -- 0:03:43
Average standard deviation of split frequencies: 0.008391
781000 -- (-986.681) [-974.451] (-979.348) (-972.358) * [-974.095] (-991.193) (-971.049) (-963.129) -- 0:03:42
782000 -- (-984.976) [-971.414] (-979.763) (-987.540) * (-980.245) [-977.728] (-975.976) (-968.690) -- 0:03:41
783000 -- (-987.325) (-984.595) (-990.435) [-966.869] * (-997.116) [-965.967] (-974.392) (-982.102) -- 0:03:40
784000 -- (-973.886) (-992.486) (-972.870) [-963.903] * [-962.695] (-995.606) (-983.591) (-980.538) -- 0:03:39
785000 -- (-996.700) (-1012.228) (-969.012) [-956.434] * (-973.248) [-965.390] (-1008.353) (-988.099) -- 0:03:38
Average standard deviation of split frequencies: 0.008163
786000 -- (-989.396) (-1002.308) (-1001.321) [-952.649] * (-965.458) [-972.882] (-993.645) (-977.700) -- 0:03:37
787000 -- (-968.241) (-993.202) (-996.231) [-955.041] * (-985.910) [-964.948] (-982.620) (-997.610) -- 0:03:36
788000 -- (-962.995) (-1005.936) (-993.361) [-965.256] * (-990.538) [-972.201] (-975.755) (-998.338) -- 0:03:35
789000 -- [-973.732] (-977.214) (-990.076) (-970.852) * (-971.748) [-977.604] (-971.067) (-999.204) -- 0:03:34
790000 -- (-987.678) (-994.861) (-989.127) [-965.606] * (-955.963) (-994.666) [-970.227] (-987.275) -- 0:03:33
Average standard deviation of split frequencies: 0.008111
791000 -- (-978.096) (-996.388) (-980.405) [-962.157] * (-964.846) (-984.766) [-944.939] (-1001.763) -- 0:03:32
792000 -- (-1013.978) (-967.770) (-991.810) [-965.267] * (-967.227) [-966.525] (-962.773) (-987.345) -- 0:03:31
793000 -- (-1000.631) [-972.567] (-990.425) (-978.440) * (-970.691) [-975.281] (-975.818) (-996.677) -- 0:03:30
794000 -- (-984.297) [-961.493] (-1022.808) (-972.844) * (-968.808) (-996.854) (-973.621) [-976.180] -- 0:03:29
795000 -- (-1018.068) [-980.755] (-1006.664) (-983.311) * [-969.434] (-988.995) (-974.632) (-1000.421) -- 0:03:28
Average standard deviation of split frequencies: 0.007944
796000 -- (-1000.281) (-980.458) (-972.055) [-972.317] * (-993.997) (-990.531) (-964.762) [-971.890] -- 0:03:27
797000 -- (-996.455) (-981.897) [-988.498] (-966.097) * (-980.796) (-981.368) [-965.485] (-965.551) -- 0:03:26
798000 -- (-1001.254) (-998.102) (-978.893) [-971.836] * (-989.968) (-1000.333) [-965.369] (-986.304) -- 0:03:25
799000 -- (-982.919) (-989.771) (-968.709) [-971.054] * (-991.959) (-994.902) [-982.980] (-995.181) -- 0:03:24
800000 -- (-997.383) (-995.711) (-977.917) [-951.696] * [-982.525] (-977.021) (-1005.004) (-983.959) -- 0:03:23
Average standard deviation of split frequencies: 0.008111
801000 -- (-960.516) (-989.644) (-962.786) [-960.200] * (-993.827) [-973.560] (-984.042) (-999.001) -- 0:03:22
802000 -- (-984.589) (-1003.775) [-983.293] (-968.518) * (-985.576) (-976.203) [-969.836] (-1002.223) -- 0:03:21
803000 -- (-1004.298) [-973.995] (-982.601) (-964.970) * (-996.088) [-972.249] (-979.088) (-999.376) -- 0:03:20
804000 -- (-988.671) (-967.889) (-991.173) [-958.554] * (-995.022) [-978.506] (-984.375) (-993.086) -- 0:03:19
805000 -- (-1004.596) (-974.641) (-985.672) [-951.444] * (-1010.978) [-965.041] (-982.477) (-990.422) -- 0:03:18
Average standard deviation of split frequencies: 0.008049
806000 -- (-1007.668) [-964.419] (-992.976) (-968.207) * (-1008.916) [-984.242] (-968.252) (-972.444) -- 0:03:17
807000 -- (-1003.207) [-962.030] (-983.335) (-976.369) * (-986.636) [-971.356] (-978.500) (-982.395) -- 0:03:16
808000 -- (-993.679) [-962.115] (-990.291) (-961.645) * [-970.442] (-984.445) (-986.556) (-987.108) -- 0:03:15
809000 -- (-988.334) (-977.179) (-996.539) [-963.305] * (-965.064) (-988.800) [-977.570] (-997.494) -- 0:03:14
810000 -- (-1005.984) (-984.670) (-998.065) [-959.932] * [-967.063] (-981.884) (-992.287) (-979.381) -- 0:03:13
Average standard deviation of split frequencies: 0.008161
811000 -- [-978.136] (-992.468) (-989.242) (-970.745) * (-969.251) (-992.619) [-983.322] (-1002.132) -- 0:03:12
812000 -- (-1014.756) (-972.621) (-984.353) [-963.509] * (-965.420) (-974.581) [-974.430] (-985.469) -- 0:03:11
813000 -- (-1023.958) (-975.327) [-963.731] (-956.775) * [-962.927] (-975.871) (-967.087) (-974.683) -- 0:03:10
814000 -- (-988.299) [-968.597] (-994.319) (-971.069) * (-973.030) (-992.404) (-977.195) [-972.433] -- 0:03:09
815000 -- (-954.130) [-974.864] (-979.614) (-992.383) * (-988.118) (-984.796) (-983.116) [-968.744] -- 0:03:08
Average standard deviation of split frequencies: 0.008030
816000 -- (-974.466) (-991.977) [-981.982] (-983.993) * (-1008.092) [-954.366] (-972.915) (-979.650) -- 0:03:07
817000 -- (-967.303) (-1009.412) [-971.672] (-969.168) * (-1001.396) [-971.912] (-971.321) (-972.807) -- 0:03:06
818000 -- (-980.058) (-998.198) [-966.798] (-975.183) * (-990.051) [-978.869] (-971.087) (-964.769) -- 0:03:05
819000 -- (-989.280) (-983.179) (-970.185) [-976.026] * (-976.287) (-976.902) (-1003.666) [-962.331] -- 0:03:04
820000 -- (-971.988) [-979.930] (-983.642) (-992.571) * (-978.418) (-969.587) (-988.304) [-964.366] -- 0:03:03
Average standard deviation of split frequencies: 0.007983
821000 -- (-992.327) [-969.264] (-1009.066) (-991.589) * (-974.144) (-985.775) [-970.042] (-994.540) -- 0:03:02
822000 -- (-991.521) (-970.202) [-988.660] (-986.861) * (-1019.284) (-980.036) [-971.631] (-980.013) -- 0:03:01
823000 -- (-986.679) [-953.556] (-994.066) (-1006.435) * (-976.604) (-991.210) [-986.186] (-979.238) -- 0:03:00
824000 -- (-990.169) [-960.568] (-974.933) (-987.792) * (-994.326) (-984.743) [-972.600] (-1014.670) -- 0:02:58
825000 -- (-1007.288) (-978.832) (-977.008) [-1001.188] * (-979.787) (-970.145) [-976.442] (-993.977) -- 0:02:57
Average standard deviation of split frequencies: 0.008067
826000 -- [-979.056] (-986.236) (-988.892) (-1024.476) * (-971.072) (-991.831) [-963.071] (-983.955) -- 0:02:56
827000 -- (-996.769) (-982.886) [-973.228] (-998.591) * (-981.221) (-1011.304) [-961.433] (-1002.732) -- 0:02:55
828000 -- (-991.877) [-975.061] (-974.165) (-976.206) * [-969.078] (-996.350) (-960.265) (-1010.499) -- 0:02:54
829000 -- (-1002.458) (-976.349) (-998.395) [-955.906] * (-978.515) (-991.799) [-963.426] (-1000.087) -- 0:02:53
830000 -- (-999.863) [-961.496] (-994.626) (-965.810) * (-985.806) [-980.115] (-970.911) (-994.488) -- 0:02:52
Average standard deviation of split frequencies: 0.007974
831000 -- (-995.515) [-970.720] (-997.832) (-966.567) * (-978.353) (-993.716) [-959.246] (-976.642) -- 0:02:51
832000 -- (-1005.445) (-974.029) (-969.677) [-965.871] * (-992.861) (-986.164) (-977.118) [-960.179] -- 0:02:50
833000 -- (-1003.137) [-958.857] (-985.131) (-980.098) * (-986.447) (-975.371) [-968.005] (-976.109) -- 0:02:49
834000 -- (-988.564) (-975.744) (-1015.249) [-980.676] * (-968.071) (-980.551) [-974.437] (-983.692) -- 0:02:48
835000 -- (-981.261) (-989.629) (-972.915) [-966.794] * [-965.632] (-993.616) (-982.382) (-983.575) -- 0:02:47
Average standard deviation of split frequencies: 0.008286
836000 -- (-997.305) (-993.292) [-977.935] (-982.186) * (-997.752) (-1001.612) [-968.601] (-978.130) -- 0:02:46
837000 -- (-1005.802) (-986.515) [-972.986] (-979.435) * [-978.999] (-984.291) (-981.407) (-989.497) -- 0:02:45
838000 -- [-990.624] (-1000.191) (-976.178) (-983.619) * (-1007.037) (-979.815) (-981.650) [-969.253] -- 0:02:44
839000 -- (-1008.555) (-984.025) [-980.855] (-982.529) * (-998.119) (-983.462) (-970.993) [-976.413] -- 0:02:43
840000 -- (-1000.219) (-983.599) (-970.491) [-968.345] * (-990.994) (-997.272) (-975.784) [-959.679] -- 0:02:42
Average standard deviation of split frequencies: 0.007991
841000 -- [-980.449] (-1000.098) (-964.438) (-963.038) * (-986.941) (-990.899) [-959.727] (-973.013) -- 0:02:41
842000 -- (-999.545) (-981.821) (-975.191) [-969.219] * (-1001.009) (-994.406) (-971.100) [-966.905] -- 0:02:40
843000 -- (-975.177) (-980.303) (-981.838) [-950.479] * (-993.854) (-977.170) [-979.755] (-975.031) -- 0:02:39
844000 -- (-964.064) (-986.883) (-988.994) [-952.502] * (-991.400) [-972.874] (-975.890) (-993.000) -- 0:02:38
845000 -- [-961.685] (-963.871) (-1002.084) (-973.312) * (-974.973) (-972.038) [-989.114] (-982.149) -- 0:02:37
Average standard deviation of split frequencies: 0.008135
846000 -- (-979.698) (-974.447) (-994.296) [-974.770] * [-963.471] (-986.145) (-978.516) (-999.597) -- 0:02:36
847000 -- (-992.392) [-964.436] (-969.301) (-993.459) * [-975.056] (-991.352) (-970.801) (-1003.366) -- 0:02:35
848000 -- [-976.778] (-978.065) (-997.540) (-979.482) * (-988.532) (-984.214) [-988.693] (-989.938) -- 0:02:34
849000 -- [-959.872] (-972.996) (-992.122) (-990.203) * (-990.155) [-962.644] (-990.497) (-991.075) -- 0:02:33
850000 -- [-972.611] (-966.419) (-982.706) (-981.482) * [-982.654] (-969.056) (-974.406) (-964.174) -- 0:02:32
Average standard deviation of split frequencies: 0.007924
851000 -- [-960.126] (-992.129) (-977.950) (-968.359) * (-1000.481) (-980.966) (-979.858) [-977.048] -- 0:02:31
852000 -- (-976.187) (-997.246) (-973.475) [-964.857] * [-984.333] (-1018.651) (-985.997) (-985.139) -- 0:02:30
853000 -- (-988.871) (-985.663) (-986.071) [-962.187] * (-972.854) (-1008.419) (-1000.801) [-965.020] -- 0:02:29
854000 -- (-985.313) (-978.257) (-985.500) [-962.749] * (-986.609) (-992.605) [-977.628] (-956.574) -- 0:02:28
855000 -- (-993.285) (-983.319) (-987.540) [-969.947] * (-992.120) (-1004.198) (-1002.765) [-977.513] -- 0:02:27
Average standard deviation of split frequencies: 0.007909
856000 -- (-975.835) (-974.700) (-995.462) [-960.506] * (-996.060) (-990.367) [-961.371] (-978.351) -- 0:02:26
857000 -- [-968.438] (-970.790) (-1002.545) (-976.042) * (-972.934) (-995.717) [-957.426] (-988.373) -- 0:02:25
858000 -- (-974.397) [-961.451] (-996.288) (-972.412) * [-967.942] (-1002.013) (-972.243) (-977.341) -- 0:02:24
859000 -- [-967.441] (-974.735) (-1002.609) (-972.669) * (-974.794) (-989.017) (-995.541) [-976.866] -- 0:02:23
860000 -- (-976.834) [-967.933] (-991.075) (-985.553) * (-1001.783) (-955.800) (-986.355) [-955.214] -- 0:02:22
Average standard deviation of split frequencies: 0.007991
861000 -- (-979.308) (-977.534) [-959.980] (-997.798) * (-996.576) (-980.088) [-966.237] (-966.975) -- 0:02:21
862000 -- (-986.633) (-986.437) [-965.849] (-982.001) * (-987.530) (-979.421) [-957.838] (-966.203) -- 0:02:20
863000 -- (-992.232) [-975.367] (-974.923) (-998.426) * (-989.032) (-985.849) [-964.436] (-982.136) -- 0:02:19
864000 -- (-982.738) (-983.359) [-969.379] (-998.935) * (-972.521) (-998.068) [-963.655] (-969.282) -- 0:02:18
865000 -- (-968.132) (-992.293) [-972.333] (-996.461) * (-969.171) (-986.941) (-1000.812) [-971.507] -- 0:02:17
Average standard deviation of split frequencies: 0.007701
866000 -- (-1002.118) (-982.476) [-958.886] (-1016.561) * (-980.031) [-965.258] (-985.300) (-1002.285) -- 0:02:16
867000 -- (-996.154) (-982.794) [-971.505] (-1001.348) * (-996.460) (-979.358) (-990.752) [-981.354] -- 0:02:15
868000 -- (-989.425) (-984.741) [-960.110] (-987.020) * (-983.027) (-977.295) (-994.030) [-962.934] -- 0:02:14
869000 -- [-961.140] (-995.783) (-964.716) (-972.766) * (-991.418) [-981.541] (-1000.150) (-966.169) -- 0:02:13
870000 -- (-976.195) (-987.293) [-964.866] (-987.847) * (-983.742) [-983.024] (-983.261) (-960.646) -- 0:02:12
Average standard deviation of split frequencies: 0.007878
871000 -- (-980.924) (-986.908) [-960.362] (-1014.592) * (-973.867) (-993.443) (-980.241) [-955.470] -- 0:02:11
872000 -- (-980.544) (-973.095) [-953.069] (-1000.401) * (-979.603) (-984.317) (-1017.776) [-952.364] -- 0:02:10
873000 -- (-969.655) (-977.108) [-968.279] (-997.635) * (-979.603) (-980.720) (-1017.107) [-956.736] -- 0:02:09
874000 -- (-968.120) [-955.087] (-965.860) (-999.518) * (-1004.784) (-992.427) (-986.022) [-964.301] -- 0:02:08
875000 -- (-980.991) [-965.964] (-978.624) (-997.415) * (-983.986) (-991.300) (-988.190) [-969.615] -- 0:02:07
Average standard deviation of split frequencies: 0.007666
876000 -- (-972.081) [-991.436] (-976.756) (-1018.173) * (-967.612) (-989.439) (-990.134) [-965.807] -- 0:02:06
877000 -- [-968.307] (-997.885) (-971.222) (-1023.883) * [-966.347] (-1008.879) (-1006.128) (-971.958) -- 0:02:05
878000 -- (-988.359) (-960.953) [-959.493] (-1004.649) * (-969.527) (-997.398) [-952.299] (-979.061) -- 0:02:04
879000 -- (-981.470) (-988.272) [-963.199] (-992.700) * (-975.949) (-991.663) [-971.348] (-983.316) -- 0:02:03
880000 -- (-985.754) [-969.024] (-991.995) (-1007.821) * (-982.304) [-974.737] (-976.364) (-989.883) -- 0:02:02
Average standard deviation of split frequencies: 0.007857
881000 -- [-979.463] (-977.360) (-1023.545) (-1015.736) * [-971.467] (-972.481) (-971.764) (-987.431) -- 0:02:01
882000 -- (-970.762) (-1000.903) [-978.052] (-965.020) * (-993.614) (-963.193) [-968.506] (-984.946) -- 0:02:00
883000 -- [-966.425] (-1001.033) (-974.873) (-1003.935) * (-987.080) (-976.494) [-977.417] (-982.979) -- 0:01:58
884000 -- (-974.893) (-997.932) [-946.902] (-964.451) * (-985.030) (-971.521) (-975.517) [-975.013] -- 0:01:57
885000 -- (-973.128) (-1002.296) [-959.368] (-970.647) * (-1020.683) [-968.489] (-986.889) (-978.625) -- 0:01:56
Average standard deviation of split frequencies: 0.007901
886000 -- (-997.997) (-984.578) [-959.316] (-993.059) * (-994.658) [-953.271] (-982.996) (-980.852) -- 0:01:55
887000 -- (-977.481) (-1022.844) [-963.336] (-962.359) * (-979.619) (-979.880) (-982.108) [-960.887] -- 0:01:54
888000 -- (-985.779) (-1007.144) [-973.122] (-990.952) * (-980.157) (-983.182) [-979.602] (-959.366) -- 0:01:53
889000 -- (-988.970) (-983.874) [-967.245] (-985.192) * (-975.166) (-997.951) (-969.760) [-955.937] -- 0:01:52
890000 -- (-970.011) (-1004.485) (-979.242) [-951.546] * (-960.385) (-991.982) (-991.926) [-964.404] -- 0:01:51
Average standard deviation of split frequencies: 0.008089
891000 -- (-990.342) (-999.812) [-971.817] (-957.475) * [-965.936] (-983.750) (-998.818) (-973.980) -- 0:01:50
892000 -- (-981.088) (-981.807) (-980.523) [-964.551] * (-963.183) (-998.811) (-1000.060) [-981.458] -- 0:01:49
893000 -- (-966.503) (-994.424) (-984.554) [-971.778] * [-976.576] (-987.805) (-1019.888) (-978.493) -- 0:01:48
894000 -- (-967.677) (-982.536) [-970.423] (-991.469) * (-974.147) [-988.655] (-982.784) (-999.767) -- 0:01:47
895000 -- [-963.176] (-976.181) (-980.249) (-974.952) * (-981.729) (-995.218) [-963.646] (-1008.141) -- 0:01:46
Average standard deviation of split frequencies: 0.008111
896000 -- (-973.667) (-992.890) (-999.300) [-962.875] * (-976.147) (-989.638) [-966.908] (-1003.113) -- 0:01:45
897000 -- [-971.112] (-979.581) (-991.539) (-961.297) * [-971.968] (-995.278) (-1001.691) (-999.932) -- 0:01:44
898000 -- (-967.794) (-1002.191) (-1010.215) [-966.014] * (-976.757) (-1004.963) (-975.889) [-961.881] -- 0:01:43
899000 -- [-962.118] (-978.054) (-1006.724) (-970.178) * (-983.772) (-1035.917) (-972.759) [-956.571] -- 0:01:42
900000 -- (-960.801) (-975.134) (-995.544) [-984.079] * (-981.826) (-1025.807) (-997.748) [-966.014] -- 0:01:41
Average standard deviation of split frequencies: 0.007947
901000 -- [-958.348] (-977.793) (-991.513) (-978.609) * [-987.167] (-1008.254) (-1005.841) (-981.201) -- 0:01:40
902000 -- [-966.415] (-990.838) (-989.157) (-972.611) * (-983.726) (-988.564) (-1016.100) [-963.103] -- 0:01:39
903000 -- (-974.719) (-990.443) (-981.040) [-970.264] * [-967.866] (-980.713) (-987.751) (-965.907) -- 0:01:38
904000 -- [-981.148] (-972.158) (-1004.457) (-971.165) * [-982.409] (-978.320) (-990.636) (-976.174) -- 0:01:37
905000 -- (-999.754) [-954.715] (-1002.510) (-964.120) * (-985.700) (-1005.238) (-980.664) [-969.193] -- 0:01:36
Average standard deviation of split frequencies: 0.007900
906000 -- (-963.485) (-967.550) (-983.829) [-980.530] * (-1016.563) (-985.017) [-970.799] (-976.101) -- 0:01:35
907000 -- [-972.813] (-1001.983) (-979.274) (-980.079) * (-1005.981) (-992.613) [-968.064] (-982.667) -- 0:01:34
908000 -- (-1003.567) (-974.414) (-986.141) [-970.258] * (-999.301) (-1016.141) (-953.093) [-982.341] -- 0:01:33
909000 -- (-988.820) (-964.144) (-989.071) [-971.897] * (-989.358) (-972.162) (-964.020) [-958.621] -- 0:01:32
910000 -- (-986.427) (-976.789) [-963.751] (-982.858) * (-990.204) [-967.142] (-986.520) (-1001.241) -- 0:01:31
Average standard deviation of split frequencies: 0.007867
911000 -- (-993.862) (-971.016) (-976.672) [-958.734] * (-989.836) (-975.477) [-979.742] (-997.824) -- 0:01:30
912000 -- [-983.918] (-1003.586) (-989.923) (-976.335) * (-992.172) [-972.267] (-975.689) (-987.348) -- 0:01:29
913000 -- [-972.132] (-989.922) (-988.335) (-977.161) * (-1008.993) [-958.548] (-991.490) (-977.279) -- 0:01:28
914000 -- (-989.020) (-984.676) [-975.452] (-997.318) * (-1014.019) [-963.075] (-988.935) (-990.099) -- 0:01:27
915000 -- (-980.650) (-978.507) (-962.445) [-955.929] * (-1017.993) [-958.266] (-984.468) (-980.567) -- 0:01:26
Average standard deviation of split frequencies: 0.007711
916000 -- (-979.497) (-995.575) [-964.179] (-967.104) * (-1012.201) (-972.482) [-961.994] (-990.833) -- 0:01:25
917000 -- (-975.819) (-993.564) [-960.942] (-975.262) * (-1007.813) (-971.747) (-975.799) [-986.932] -- 0:01:24
918000 -- (-971.076) (-1006.299) [-965.183] (-989.538) * (-999.947) [-970.962] (-988.335) (-997.206) -- 0:01:23
919000 -- (-975.258) (-986.103) (-993.981) [-974.150] * (-1023.598) [-955.259] (-979.879) (-995.752) -- 0:01:22
920000 -- (-971.237) (-955.005) (-992.998) [-970.325] * (-992.731) [-964.121] (-996.411) (-1005.519) -- 0:01:21
Average standard deviation of split frequencies: 0.007894
921000 -- (-991.633) [-968.719] (-992.160) (-963.684) * (-975.425) [-959.504] (-994.157) (-992.399) -- 0:01:20
922000 -- (-1000.520) [-979.278] (-995.188) (-977.236) * [-964.231] (-969.670) (-965.920) (-1006.198) -- 0:01:19
923000 -- (-989.297) (-1011.520) [-989.161] (-985.555) * (-959.178) (-983.872) [-970.258] (-987.232) -- 0:01:18
924000 -- (-975.063) (-973.049) [-985.401] (-986.412) * (-971.370) [-976.998] (-983.191) (-1004.957) -- 0:01:17
925000 -- (-980.443) (-979.259) (-1008.773) [-962.047] * (-972.146) (-991.498) (-998.244) [-985.034] -- 0:01:16
Average standard deviation of split frequencies: 0.007569
926000 -- [-959.704] (-998.292) (-1004.686) (-980.864) * [-970.263] (-983.078) (-1009.234) (-979.946) -- 0:01:15
927000 -- [-975.855] (-994.697) (-975.172) (-981.449) * (-977.707) (-978.019) (-998.771) [-975.406] -- 0:01:14
928000 -- (-986.974) (-1003.131) [-974.303] (-973.132) * (-966.858) (-992.905) (-975.333) [-968.604] -- 0:01:13
929000 -- (-977.021) (-992.988) (-993.557) [-974.677] * [-959.675] (-1004.088) (-1008.281) (-966.907) -- 0:01:12
930000 -- (-988.796) [-961.031] (-998.015) (-970.091) * [-956.706] (-972.506) (-975.437) (-978.717) -- 0:01:11
Average standard deviation of split frequencies: 0.007606
931000 -- (-987.819) (-953.765) (-1003.495) [-974.192] * [-964.552] (-957.998) (-1003.864) (-986.194) -- 0:01:10
932000 -- (-986.111) [-957.223] (-999.429) (-957.262) * [-966.673] (-977.396) (-1016.882) (-976.861) -- 0:01:09
933000 -- (-981.514) [-960.525] (-976.018) (-961.962) * [-976.007] (-978.865) (-1006.510) (-987.278) -- 0:01:08
934000 -- (-979.091) [-977.669] (-1015.767) (-961.570) * [-969.762] (-966.567) (-995.123) (-991.824) -- 0:01:07
935000 -- (-1003.434) (-971.229) (-1031.858) [-965.872] * (-961.272) [-971.354] (-999.086) (-994.028) -- 0:01:06
Average standard deviation of split frequencies: 0.007546
936000 -- (-978.914) (-974.668) (-985.177) [-957.763] * [-983.655] (-986.470) (-984.760) (-1027.142) -- 0:01:05
937000 -- (-985.614) (-982.224) [-976.037] (-977.378) * [-964.720] (-981.544) (-979.140) (-994.271) -- 0:01:04
938000 -- (-995.162) [-968.971] (-973.222) (-986.281) * [-971.501] (-1004.243) (-977.779) (-1006.517) -- 0:01:03
939000 -- (-974.213) (-984.638) [-966.853] (-982.267) * (-996.784) (-1002.614) (-959.967) [-963.890] -- 0:01:02
940000 -- (-1000.828) (-982.716) [-973.011] (-982.545) * (-1007.522) (-998.345) (-972.853) [-967.399] -- 0:01:01
Average standard deviation of split frequencies: 0.007681
941000 -- (-976.165) (-975.517) [-985.601] (-993.424) * (-1014.353) (-994.370) (-968.504) [-965.316] -- 0:01:00
942000 -- (-981.083) (-1010.185) (-995.973) [-971.562] * (-996.251) (-996.446) (-1001.047) [-968.873] -- 0:00:58
943000 -- (-963.251) (-1019.588) (-989.476) [-987.631] * (-1004.345) (-999.223) (-1010.935) [-969.171] -- 0:00:57
944000 -- [-969.698] (-991.837) (-990.555) (-996.731) * [-963.721] (-1004.546) (-1032.533) (-976.867) -- 0:00:56
945000 -- [-974.373] (-1007.310) (-981.065) (-991.252) * [-953.887] (-988.168) (-986.052) (-976.742) -- 0:00:55
Average standard deviation of split frequencies: 0.007654
946000 -- (-971.913) (-1023.422) [-974.719] (-992.987) * (-978.540) (-991.899) (-980.863) [-971.313] -- 0:00:54
947000 -- (-971.456) (-996.436) [-973.317] (-986.511) * (-981.958) (-977.021) (-983.894) [-981.733] -- 0:00:53
948000 -- (-976.023) (-1012.016) [-967.436] (-978.275) * (-1006.067) [-967.561] (-972.629) (-981.630) -- 0:00:52
949000 -- (-993.997) (-983.321) (-989.310) [-961.857] * (-982.407) [-971.924] (-975.503) (-979.984) -- 0:00:51
950000 -- (-1023.297) (-981.889) (-970.616) [-967.707] * (-986.623) (-976.293) [-971.723] (-984.632) -- 0:00:50
Average standard deviation of split frequencies: 0.007771
951000 -- (-997.253) [-973.250] (-970.808) (-963.548) * (-987.054) [-968.940] (-956.333) (-980.820) -- 0:00:49
952000 -- (-971.087) (-974.976) (-998.914) [-964.986] * (-985.897) [-956.252] (-974.081) (-992.488) -- 0:00:48
953000 -- (-969.859) [-967.992] (-1013.997) (-968.925) * (-995.097) [-974.843] (-985.973) (-978.523) -- 0:00:47
954000 -- (-971.789) (-973.383) (-983.430) [-966.817] * (-1012.697) [-964.091] (-962.145) (-981.092) -- 0:00:46
955000 -- (-968.682) (-999.217) (-980.249) [-968.754] * (-989.083) (-955.477) (-978.915) [-974.947] -- 0:00:45
Average standard deviation of split frequencies: 0.007810
956000 -- (-970.622) (-995.168) (-986.712) [-958.705] * (-993.123) (-975.528) [-968.396] (-992.808) -- 0:00:44
957000 -- (-975.037) (-987.784) (-976.277) [-960.239] * (-980.444) (-978.801) [-977.244] (-986.643) -- 0:00:43
958000 -- (-976.692) (-988.471) (-1004.150) [-960.782] * (-987.148) (-965.134) [-964.257] (-979.041) -- 0:00:42
959000 -- (-981.482) (-1008.016) (-995.675) [-968.364] * (-986.807) (-969.237) [-965.537] (-971.499) -- 0:00:41
960000 -- [-978.081] (-995.000) (-991.570) (-986.542) * (-1004.198) (-968.884) [-964.630] (-973.926) -- 0:00:40
Average standard deviation of split frequencies: 0.007884
961000 -- (-977.294) (-985.035) [-974.704] (-972.514) * (-969.604) (-983.242) [-973.180] (-1000.752) -- 0:00:39
962000 -- [-966.455] (-1008.617) (-985.021) (-975.745) * (-975.050) (-990.724) [-975.703] (-998.697) -- 0:00:38
963000 -- [-975.675] (-986.408) (-983.542) (-985.161) * [-954.607] (-1005.040) (-973.660) (-991.317) -- 0:00:37
964000 -- (-968.772) (-988.719) (-973.596) [-965.859] * (-966.694) (-1003.424) (-968.167) [-983.920] -- 0:00:36
965000 -- (-975.382) [-977.111] (-976.817) (-982.560) * [-973.499] (-1011.089) (-971.672) (-987.289) -- 0:00:35
Average standard deviation of split frequencies: 0.007706
966000 -- (-964.720) (-973.914) [-975.774] (-983.486) * [-971.138] (-982.079) (-980.869) (-1009.490) -- 0:00:34
967000 -- [-969.679] (-985.616) (-965.486) (-991.512) * (-978.441) [-973.767] (-981.887) (-988.894) -- 0:00:33
968000 -- [-982.361] (-992.475) (-981.942) (-989.081) * [-969.225] (-993.993) (-981.703) (-998.875) -- 0:00:32
969000 -- (-983.270) (-986.891) (-979.581) [-952.878] * (-959.471) [-979.030] (-999.036) (-979.615) -- 0:00:31
970000 -- (-989.167) (-993.740) [-968.533] (-966.710) * (-966.408) (-990.161) (-1005.333) [-975.639] -- 0:00:30
Average standard deviation of split frequencies: 0.008143
971000 -- (-998.360) (-997.284) [-972.463] (-974.196) * [-975.352] (-983.730) (-988.799) (-975.777) -- 0:00:29
972000 -- (-1003.782) (-992.403) [-963.031] (-975.263) * (-972.440) (-998.172) (-981.849) [-972.216] -- 0:00:28
973000 -- (-984.106) (-994.594) [-969.489] (-977.353) * (-1003.342) (-996.771) (-972.442) [-964.646] -- 0:00:27
974000 -- (-996.023) [-979.920] (-966.012) (-977.967) * (-1025.681) (-994.011) (-983.445) [-974.891] -- 0:00:26
975000 -- (-970.931) [-968.765] (-1003.878) (-1002.050) * (-997.659) (-978.934) [-974.349] (-960.222) -- 0:00:25
Average standard deviation of split frequencies: 0.008364
976000 -- (-976.914) [-963.837] (-1014.718) (-985.229) * (-972.524) (-973.187) [-975.638] (-979.678) -- 0:00:24
977000 -- (-980.767) (-965.417) (-1006.887) [-966.857] * (-992.804) (-958.597) (-992.828) [-986.233] -- 0:00:23
978000 -- (-1021.321) [-968.835] (-992.750) (-971.375) * (-979.566) (-966.722) (-1005.808) [-966.168] -- 0:00:22
979000 -- (-1005.959) (-982.120) (-986.012) [-975.811] * [-975.172] (-966.366) (-968.949) (-982.722) -- 0:00:21
980000 -- (-1013.079) (-964.143) [-981.179] (-973.559) * (-988.395) [-975.300] (-992.532) (-1006.883) -- 0:00:20
Average standard deviation of split frequencies: 0.008188
981000 -- (-993.227) [-976.213] (-984.098) (-980.046) * [-974.671] (-992.474) (-971.786) (-993.607) -- 0:00:19
982000 -- (-1012.272) [-964.152] (-990.247) (-971.302) * (-960.979) (-982.555) [-970.921] (-1000.693) -- 0:00:18
983000 -- (-1013.366) [-953.617] (-989.670) (-1003.849) * (-957.982) (-969.777) [-973.543] (-996.100) -- 0:00:17
984000 -- (-1017.971) [-965.560] (-980.206) (-964.413) * (-995.735) (-988.702) (-977.182) [-961.363] -- 0:00:16
985000 -- (-1011.434) (-977.269) [-969.295] (-987.811) * (-984.358) [-976.416] (-999.532) (-994.123) -- 0:00:15
Average standard deviation of split frequencies: 0.007905
986000 -- (-1001.574) (-992.252) (-987.011) [-957.235] * (-970.013) [-968.122] (-990.755) (-983.416) -- 0:00:14
987000 -- (-1004.245) [-974.698] (-971.892) (-961.590) * (-974.717) [-975.063] (-994.070) (-1004.972) -- 0:00:13
988000 -- (-996.858) [-971.314] (-966.171) (-961.362) * (-980.178) [-974.057] (-1001.222) (-1008.108) -- 0:00:12
989000 -- (-998.934) (-989.648) [-977.114] (-960.898) * (-974.841) [-962.152] (-991.543) (-996.911) -- 0:00:11
990000 -- [-979.938] (-994.586) (-983.362) (-968.669) * (-992.828) [-962.111] (-966.972) (-1001.692) -- 0:00:10
Average standard deviation of split frequencies: 0.007788
991000 -- (-964.448) (-1024.625) [-958.849] (-978.861) * (-982.318) (-981.416) [-960.939] (-995.735) -- 0:00:09
992000 -- (-988.979) (-1005.877) [-959.826] (-992.930) * [-983.380] (-980.632) (-965.656) (-1010.528) -- 0:00:08
993000 -- (-974.931) (-1021.703) (-980.662) [-971.693] * (-981.096) (-982.284) [-958.978] (-997.591) -- 0:00:07
994000 -- (-987.948) (-999.145) (-980.006) [-960.802] * [-968.599] (-970.107) (-965.722) (-1011.532) -- 0:00:06
995000 -- (-993.749) (-1001.650) (-985.602) [-959.639] * [-972.938] (-977.690) (-977.738) (-1013.374) -- 0:00:05
Average standard deviation of split frequencies: 0.007910
996000 -- (-1005.215) (-980.762) (-997.026) [-961.286] * [-960.093] (-986.602) (-982.223) (-998.046) -- 0:00:04
997000 -- (-995.052) (-983.544) [-989.683] (-960.731) * [-959.699] (-978.134) (-1004.002) (-988.794) -- 0:00:03
998000 -- (-983.225) (-965.705) [-975.239] (-969.793) * [-971.215] (-980.152) (-984.142) (-993.386) -- 0:00:02
999000 -- (-995.967) [-973.504] (-986.210) (-984.622) * (-997.729) [-956.515] (-968.857) (-985.603) -- 0:00:01
1000000 -- (-992.068) [-976.522] (-982.570) (-1004.763) * (-990.068) [-959.809] (-969.166) (-972.901) -- 0:00:00
Average standard deviation of split frequencies: 0.007865
Analysis completed in 16 mins 56 seconds
Analysis used 1015.84 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -941.78
Likelihood of best state for "cold" chain of run 2 was -942.13
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
57.0 % ( 42 %) Dirichlet(Revmat{all})
71.2 % ( 63 %) Slider(Revmat{all})
37.1 % ( 31 %) Dirichlet(Pi{all})
36.8 % ( 26 %) Slider(Pi{all})
46.3 % ( 29 %) Multiplier(Alpha{1,2})
56.7 % ( 32 %) Multiplier(Alpha{3})
76.3 % ( 55 %) Slider(Pinvar{all})
70.7 % ( 79 %) ExtSPR(Tau{all},V{all})
62.5 % ( 65 %) ExtTBR(Tau{all},V{all})
74.9 % ( 77 %) NNI(Tau{all},V{all})
49.2 % ( 54 %) ParsSPR(Tau{all},V{all})
27.5 % ( 20 %) Multiplier(V{all})
80.7 % ( 83 %) Nodeslider(V{all})
26.0 % ( 21 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
56.0 % ( 48 %) Dirichlet(Revmat{all})
71.4 % ( 60 %) Slider(Revmat{all})
36.9 % ( 29 %) Dirichlet(Pi{all})
37.5 % ( 23 %) Slider(Pi{all})
45.7 % ( 21 %) Multiplier(Alpha{1,2})
56.9 % ( 28 %) Multiplier(Alpha{3})
76.7 % ( 62 %) Slider(Pinvar{all})
70.7 % ( 64 %) ExtSPR(Tau{all},V{all})
62.8 % ( 67 %) ExtTBR(Tau{all},V{all})
74.9 % ( 81 %) NNI(Tau{all},V{all})
49.1 % ( 42 %) ParsSPR(Tau{all},V{all})
27.5 % ( 22 %) Multiplier(V{all})
80.4 % ( 80 %) Nodeslider(V{all})
25.7 % ( 20 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.33 0.06 0.01
2 | 166802 0.34 0.06
3 | 165810 166765 0.35
4 | 167306 166964 166353
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.33 0.06 0.00
2 | 166871 0.35 0.06
3 | 166230 166552 0.36
4 | 166296 167284 166767
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)
+------------------------------------------------------------+ -963.56
| 2 2 2 |
| 2 1 |
|2 2 1 1 1 2 |
| 2 22 1 2 1 |
| * 2 1 1 1 12 1 |
| 2 1 2 2 2 1 1 1 1 2 21112|
| 21 1 2 111 1 11 1 1 2 2 1 2 |
| 1 1 2 2 1 1 1 22 2 1 2 |
| 1 1 1 11 2 2 21 1 2 1 *2 |
|1 1 2 1 2 2*2 2 2 2 1|
| 1 22 1 2 1 1 |
| 1 2 22 1 2 |
| 2 1 1 2 |
| 2 2 |
| 1 2 2 2 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -975.14
^ ^
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 -951.97 -993.91
2 -951.95 -992.97
--------------------------------------
TOTAL -951.96 -993.55
--------------------------------------
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} 0.857201 0.016260 0.635089 1.121713 0.849081 1192.42 1342.73 1.000
r(A<->C){all} 0.088123 0.001196 0.023892 0.155597 0.083866 604.79 640.13 1.006
r(A<->G){all} 0.353770 0.003340 0.243192 0.469409 0.351608 359.84 467.77 1.000
r(A<->T){all} 0.086226 0.000516 0.046370 0.134758 0.084331 579.21 620.74 1.004
r(C<->G){all} 0.058061 0.001282 0.000300 0.125684 0.052075 250.36 326.64 1.006
r(C<->T){all} 0.340971 0.003156 0.227094 0.448923 0.337814 487.44 555.72 1.000
r(G<->T){all} 0.072850 0.000724 0.028949 0.129072 0.069746 540.05 659.65 1.000
pi(A){all} 0.292955 0.000695 0.245595 0.347308 0.291855 827.78 883.76 1.000
pi(C){all} 0.168221 0.000444 0.127869 0.209460 0.167309 745.09 755.11 1.000
pi(G){all} 0.154992 0.000415 0.117121 0.196665 0.153846 609.72 761.46 1.001
pi(T){all} 0.383831 0.000810 0.329770 0.439099 0.384088 740.99 775.35 1.001
alpha{1,2} 0.416294 0.038650 0.173320 0.763907 0.372828 931.14 941.44 1.000
alpha{3} 2.421398 1.367336 0.658390 4.745184 2.179825 1274.09 1290.22 1.000
pinvar{all} 0.133680 0.007702 0.000137 0.292448 0.123178 842.39 900.28 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 -- C27
21 -- C28
22 -- C29
23 -- C3
24 -- C30
25 -- C31
26 -- C32
27 -- C33
28 -- C34
29 -- C35
30 -- C36
31 -- C37
32 -- C38
33 -- C39
34 -- C4
35 -- C40
36 -- C41
37 -- C42
38 -- C43
39 -- C5
40 -- C6
41 -- C7
42 -- C8
43 -- 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 -- ........................*.....*............
79 -- ....................*...*..................
80 -- ...................**........***...........
81 -- ...................*....*....***...........
82 -- .............................*.*...........
83 -- .............................**............
84 -- .....*...*.................................
85 -- ....................*...*....***...........
86 -- .....*.*...................................
87 -- .......*..*................................
88 -- ...................**......................
89 -- ...................**...*.....**...........
90 -- ........................*....*.............
91 -- ...................**...*....*.*...........
92 -- ........................*......*...........
93 -- ....................*........*.............
94 -- ...................*....*..................
95 -- ....................*..........*...........
96 -- ...................*..........*............
97 -- .........*...........................*.....
98 -- ........*............................*.....
99 -- .......**..................................
100 -- ..........*..........................*.....
101 -- .........**................................
102 -- .....*...............................*.....
--------------------------------------------------
Summary statistics for informative taxon bipartitions
(saved to file "/data/mrbayes_input.nex.tstat"):
ID #obs Probab. Sd(s)+ Min(s) Max(s) Nruns
-----------------------------------------------------------------
44 3002 1.000000 0.000000 1.000000 1.000000 2
45 3002 1.000000 0.000000 1.000000 1.000000 2
46 3002 1.000000 0.000000 1.000000 1.000000 2
47 2985 0.994337 0.001413 0.993338 0.995336 2
48 2577 0.858428 0.013662 0.848767 0.868088 2
49 2541 0.846436 0.028737 0.826116 0.866755 2
50 2520 0.839440 0.011306 0.831446 0.847435 2
51 1886 0.628248 0.008480 0.622252 0.634244 2
52 1650 0.549634 0.001884 0.548301 0.550966 2
53 1560 0.519654 0.016017 0.508328 0.530979 2
54 1442 0.480346 0.003769 0.477682 0.483011 2
55 1357 0.452032 0.007066 0.447035 0.457029 2
56 1206 0.401732 0.012248 0.393071 0.410393 2
57 1061 0.353431 0.009893 0.346436 0.360426 2
58 1020 0.339773 0.004711 0.336442 0.343105 2
59 961 0.320120 0.013662 0.310460 0.329780 2
60 928 0.309127 0.027323 0.289807 0.328448 2
61 866 0.288474 0.000942 0.287808 0.289141 2
62 855 0.284810 0.017430 0.272485 0.297135 2
63 717 0.238841 0.020257 0.224517 0.253165 2
64 600 0.199867 0.021670 0.184544 0.215190 2
65 572 0.190540 0.008480 0.184544 0.196536 2
66 559 0.186209 0.006124 0.181879 0.190540 2
67 556 0.185210 0.000000 0.185210 0.185210 2
68 550 0.183211 0.005653 0.179214 0.187209 2
69 549 0.182878 0.004240 0.179880 0.185876 2
70 538 0.179214 0.015075 0.168554 0.189873 2
71 537 0.178881 0.001413 0.177881 0.179880 2
72 535 0.178215 0.006124 0.173884 0.182545 2
73 519 0.172885 0.006124 0.168554 0.177215 2
74 368 0.122585 0.007537 0.117255 0.127915 2
75 367 0.122252 0.005182 0.118588 0.125916 2
76 357 0.118921 0.004240 0.115923 0.121919 2
77 350 0.116589 0.005653 0.112592 0.120586 2
78 343 0.114257 0.004240 0.111259 0.117255 2
79 343 0.114257 0.006124 0.109927 0.118588 2
80 337 0.112258 0.002355 0.110593 0.113924 2
81 336 0.111925 0.000000 0.111925 0.111925 2
82 330 0.109927 0.000942 0.109260 0.110593 2
83 328 0.109260 0.014133 0.099267 0.119254 2
84 319 0.106262 0.004240 0.103264 0.109260 2
85 316 0.105263 0.004711 0.101932 0.108594 2
86 315 0.104930 0.000471 0.104597 0.105263 2
87 315 0.104930 0.007066 0.099933 0.109927 2
88 315 0.104930 0.016488 0.093271 0.116589 2
89 314 0.104597 0.003769 0.101932 0.107262 2
90 312 0.103931 0.016017 0.092605 0.115256 2
91 312 0.103931 0.004711 0.100600 0.107262 2
92 309 0.102931 0.005182 0.099267 0.106596 2
93 309 0.102931 0.001413 0.101932 0.103931 2
94 305 0.101599 0.012719 0.092605 0.110593 2
95 305 0.101599 0.005182 0.097935 0.105263 2
96 303 0.100933 0.021199 0.085943 0.115923 2
97 301 0.100266 0.001413 0.099267 0.101266 2
98 300 0.099933 0.003769 0.097268 0.102598 2
99 300 0.099933 0.002827 0.097935 0.101932 2
100 296 0.098601 0.004711 0.095270 0.101932 2
101 285 0.094937 0.008951 0.088608 0.101266 2
102 280 0.093271 0.015075 0.082612 0.103931 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] 0.003249 0.000010 0.000001 0.009643 0.002317 1.002 2
length{all}[2] 0.074117 0.000663 0.028573 0.124771 0.070513 1.000 2
length{all}[3] 0.013363 0.000063 0.000499 0.029311 0.012090 1.000 2
length{all}[4] 0.047383 0.000298 0.017952 0.081707 0.045392 1.001 2
length{all}[5] 0.023224 0.000159 0.001688 0.047614 0.021463 1.000 2
length{all}[6] 0.007164 0.000027 0.000381 0.017698 0.006028 1.001 2
length{all}[7] 0.004310 0.000019 0.000004 0.012795 0.002987 1.001 2
length{all}[8] 0.003523 0.000012 0.000002 0.010503 0.002445 1.000 2
length{all}[9] 0.003599 0.000013 0.000005 0.010665 0.002472 1.000 2
length{all}[10] 0.003518 0.000014 0.000003 0.010644 0.002403 1.000 2
length{all}[11] 0.003488 0.000013 0.000004 0.010267 0.002483 1.000 2
length{all}[12] 0.003492 0.000013 0.000000 0.010510 0.002345 1.000 2
length{all}[13] 0.016222 0.000066 0.003508 0.032849 0.014752 1.000 2
length{all}[14] 0.003502 0.000013 0.000000 0.010586 0.002351 1.000 2
length{all}[15] 0.007168 0.000028 0.000071 0.017303 0.005934 1.000 2
length{all}[16] 0.003476 0.000012 0.000002 0.010295 0.002375 1.001 2
length{all}[17] 0.003525 0.000013 0.000001 0.010876 0.002399 1.001 2
length{all}[18] 0.003490 0.000012 0.000001 0.010394 0.002487 1.002 2
length{all}[19] 0.003517 0.000013 0.000000 0.010413 0.002353 1.000 2
length{all}[20] 0.003439 0.000012 0.000000 0.010277 0.002396 1.000 2
length{all}[21] 0.003511 0.000014 0.000001 0.010904 0.002377 1.000 2
length{all}[22] 0.003425 0.000012 0.000001 0.010361 0.002318 1.000 2
length{all}[23] 0.003497 0.000013 0.000004 0.010819 0.002365 1.000 2
length{all}[24] 0.003411 0.000012 0.000000 0.010192 0.002364 1.000 2
length{all}[25] 0.003529 0.000013 0.000001 0.010606 0.002413 1.001 2
length{all}[26] 0.003410 0.000012 0.000000 0.010375 0.002400 1.000 2
length{all}[27] 0.006955 0.000025 0.000186 0.016600 0.005815 1.000 2
length{all}[28] 0.003447 0.000012 0.000000 0.010265 0.002408 1.001 2
length{all}[29] 0.003437 0.000013 0.000002 0.010431 0.002417 1.000 2
length{all}[30] 0.003399 0.000012 0.000002 0.010146 0.002421 1.000 2
length{all}[31] 0.003385 0.000012 0.000002 0.010176 0.002336 1.000 2
length{all}[32] 0.003488 0.000012 0.000002 0.010520 0.002396 1.000 2
length{all}[33] 0.003572 0.000013 0.000000 0.010555 0.002537 1.000 2
length{all}[34] 0.003478 0.000012 0.000001 0.010407 0.002414 1.001 2
length{all}[35] 0.003541 0.000013 0.000001 0.010510 0.002437 1.001 2
length{all}[36] 0.003500 0.000013 0.000001 0.010590 0.002420 1.000 2
length{all}[37] 0.003475 0.000013 0.000002 0.010448 0.002316 1.000 2
length{all}[38] 0.003601 0.000013 0.000001 0.010865 0.002460 1.000 2
length{all}[39] 0.003555 0.000013 0.000001 0.010644 0.002441 1.002 2
length{all}[40] 0.003487 0.000013 0.000000 0.010622 0.002427 1.000 2
length{all}[41] 0.003469 0.000012 0.000001 0.010157 0.002410 1.000 2
length{all}[42] 0.069550 0.000604 0.026048 0.118136 0.066527 1.001 2
length{all}[43] 0.017369 0.000076 0.003694 0.035108 0.015872 1.002 2
length{all}[44] 0.069752 0.000531 0.026109 0.116263 0.068010 1.000 2
length{all}[45] 0.162505 0.001639 0.092332 0.245775 0.157845 1.000 2
length{all}[46] 0.036028 0.000217 0.011517 0.065269 0.034052 1.003 2
length{all}[47] 0.013542 0.000066 0.000854 0.028879 0.011984 1.000 2
length{all}[48] 0.006903 0.000026 0.000055 0.016700 0.005770 1.000 2
length{all}[49] 0.007073 0.000027 0.000204 0.017124 0.005837 1.000 2
length{all}[50] 0.007033 0.000027 0.000275 0.017269 0.005808 1.003 2
length{all}[51] 0.022937 0.000192 0.001609 0.050870 0.020725 1.000 2
length{all}[52] 0.020382 0.000158 0.000242 0.045018 0.018176 1.000 2
length{all}[53] 0.007063 0.000028 0.000022 0.016870 0.005973 0.999 2
length{all}[54] 0.006837 0.000027 0.000006 0.016802 0.005682 1.001 2
length{all}[55] 0.007223 0.000046 0.000004 0.020164 0.005378 0.999 2
length{all}[56] 0.004588 0.000020 0.000007 0.013606 0.003230 0.999 2
length{all}[57] 0.006832 0.000027 0.000010 0.017023 0.005602 0.999 2
length{all}[58] 0.016147 0.000116 0.000048 0.037561 0.014003 1.001 2
length{all}[59] 0.024345 0.000255 0.000011 0.055009 0.021302 0.999 2
length{all}[60] 0.005531 0.000029 0.000006 0.015861 0.003870 0.999 2
length{all}[61] 0.003583 0.000012 0.000000 0.011252 0.002579 1.000 2
length{all}[62] 0.003270 0.000010 0.000001 0.009699 0.002279 0.999 2
length{all}[63] 0.004305 0.000019 0.000001 0.013815 0.003001 1.004 2
length{all}[64] 0.003704 0.000014 0.000004 0.010853 0.002756 0.998 2
length{all}[65] 0.003730 0.000015 0.000010 0.010816 0.002733 1.002 2
length{all}[66] 0.004066 0.000019 0.000018 0.011153 0.002671 0.999 2
length{all}[67] 0.004150 0.000016 0.000009 0.012003 0.003001 0.998 2
length{all}[68] 0.003749 0.000015 0.000007 0.011945 0.002477 1.000 2
length{all}[69] 0.003525 0.000014 0.000013 0.010453 0.002308 1.001 2
length{all}[70] 0.003705 0.000013 0.000004 0.010716 0.002596 0.999 2
length{all}[71] 0.003659 0.000015 0.000009 0.009935 0.002561 0.999 2
length{all}[72] 0.003808 0.000016 0.000002 0.010887 0.002551 0.999 2
length{all}[73] 0.003639 0.000012 0.000004 0.010887 0.002606 0.999 2
length{all}[74] 0.003459 0.000012 0.000001 0.009939 0.002518 1.000 2
length{all}[75] 0.003425 0.000014 0.000012 0.011537 0.002284 0.998 2
length{all}[76] 0.003386 0.000010 0.000002 0.009528 0.002564 0.999 2
length{all}[77] 0.003423 0.000012 0.000000 0.011135 0.002282 0.998 2
length{all}[78] 0.003648 0.000015 0.000008 0.011277 0.002322 0.997 2
length{all}[79] 0.003751 0.000016 0.000011 0.012062 0.002471 0.997 2
length{all}[80] 0.003628 0.000015 0.000009 0.011068 0.002532 1.000 2
length{all}[81] 0.003843 0.000014 0.000009 0.011702 0.002658 1.008 2
length{all}[82] 0.003528 0.000013 0.000012 0.011241 0.002464 1.001 2
length{all}[83] 0.003702 0.000013 0.000007 0.011128 0.002493 1.010 2
length{all}[84] 0.003830 0.000015 0.000017 0.011293 0.002639 0.997 2
length{all}[85] 0.003510 0.000011 0.000002 0.009606 0.002522 1.004 2
length{all}[86] 0.003647 0.000016 0.000002 0.012619 0.002376 1.000 2
length{all}[87] 0.003401 0.000013 0.000052 0.009863 0.002531 1.006 2
length{all}[88] 0.003138 0.000011 0.000023 0.008951 0.002167 0.999 2
length{all}[89] 0.003410 0.000013 0.000007 0.009660 0.002475 0.999 2
length{all}[90] 0.003614 0.000016 0.000040 0.010459 0.002345 1.001 2
length{all}[91] 0.004027 0.000015 0.000024 0.011529 0.002796 0.997 2
length{all}[92] 0.004003 0.000014 0.000002 0.012859 0.003050 0.997 2
length{all}[93] 0.003088 0.000009 0.000005 0.009697 0.002189 0.997 2
length{all}[94] 0.003378 0.000012 0.000030 0.010497 0.002382 0.998 2
length{all}[95] 0.003604 0.000015 0.000027 0.011403 0.002504 1.021 2
length{all}[96] 0.003335 0.000010 0.000002 0.009757 0.002414 1.001 2
length{all}[97] 0.003361 0.000014 0.000013 0.011492 0.002247 0.997 2
length{all}[98] 0.003826 0.000016 0.000021 0.011903 0.002471 0.997 2
length{all}[99] 0.003978 0.000018 0.000037 0.011731 0.002524 1.021 2
length{all}[100] 0.003404 0.000010 0.000005 0.009698 0.002707 0.997 2
length{all}[101] 0.003640 0.000014 0.000000 0.010888 0.002321 0.997 2
length{all}[102] 0.003565 0.000014 0.000004 0.010789 0.002359 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 = 0.007865
Maximum standard deviation of split frequencies = 0.028737
Average PSRF for parameter values (excluding NA and >10.0) = 1.000
Maximum PSRF for parameter values = 1.021
Clade credibility values:
/---------------------------------------------------------------------- C1 (1)
|
|---------------------------------------------------------------------- C21 (14)
|
|---------------------------------------------------------------------- C22 (15)
|
|---------------------------------------------------------------------- C23 (16)
|
|---------------------------------------------------------------------- C24 (17)
|
|---------------------------------------------------------------------- C25 (18)
|
|---------------------------------------------------------------------- C26 (19)
|
|---------------------------------------------------------------------- C29 (22)
|
|---------------------------------------------------------------------- C3 (23)
|
|---------------------------------------------------------------------- C30 (24)
|
|---------------------------------------------------------------------- C32 (26)
|
|---------------------------------------------------------------------- C33 (27)
|
|---------------------------------------------------------------------- C34 (28)
|
|---------------------------------------------------------------------- C35 (29)
|
|---------------------------------------------------------------------- C39 (33)
|
|---------------------------------------------------------------------- C4 (34)
|
|---------------------------------------------------------------------- C40 (35)
|
|---------------------------------------------------------------------- C42 (37)
|
| /-------- C27 (20)
| |
| |-------- C28 (21)
+ |
| |-------- C31 (25)
|------------------------------86-----------------------------+
| |-------- C36 (30)
| |
| |-------- C37 (31)
| |
| \-------- C38 (32)
|
| /-------- C10 (2)
| /--------------100-------------+
| | \-------- C8 (42)
| |
| | /----------------------- C11 (3)
| | |
| | | /-------- C14 (6)
| | | |
| | | |-------- C15 (7)
| | | |
| /---55--+ | |-------- C16 (8)
| | | | |
| | | | /---52--+-------- C17 (9)
| | | /--100--+ | |
| | | | | | |-------- C18 (10)
| | | | | | |
| | | | |--99--+ |-------- C19 (11)
| | | | | | |
| /--100-+ | | | | \-------- C43 (38)
| | | \---63--+ | |
| | | | | \---------------- C20 (13)
| | | | |
| | | | \----------------------- C9 (43)
| | | |
| /---85--+ | \------------------------------- C12 (4)
| | | |
| | | \----------------------------------------------- C13 (5)
| | |
| | |------------------------------------------------------ C2 (12)
| | |
\---84--+ \------------------------------------------------------ C6 (40)
|
|-------------------------------------------------------------- C41 (36)
|
|-------------------------------------------------------------- C5 (39)
|
\-------------------------------------------------------------- C7 (41)
Phylogram (based on average branch lengths):
/- C1 (1)
|
|- C21 (14)
|
|- C22 (15)
|
|- C23 (16)
|
|- C24 (17)
|
|- C25 (18)
|
|- C26 (19)
|
|- C29 (22)
|
|- C3 (23)
|
|- C30 (24)
|
|- C32 (26)
|
|- C33 (27)
|
|- C34 (28)
|
|- C35 (29)
|
|- C39 (33)
|
|- C4 (34)
|
|- C40 (35)
|
|- C42 (37)
|
|/- C27 (20)
||
||- C28 (21)
+|
||- C31 (25)
|+
||- C36 (30)
||
||- C37 (31)
||
|\- C38 (32)
|
| /----------------- C10 (2)
| /-------------------------------------+
| | \---------------- C8 (42)
| |
| | /--- C11 (3)
| | |
| | | /-- C14 (6)
| | | |
| | | |- C15 (7)
| | | |
| /----+ | |- C16 (8)
| | | | |
| | | | /+- C17 (9)
| | | /---------------+ ||
| | | | | ||- C18 (10)
| | | | | ||
| | | | |--+|- C19 (11)
| | | | | ||
| /-------+ | | | |\- C43 (38)
| | | \----+ | |
| | | | | \---- C20 (13)
| | | | |
| | | | \---- C9 (43)
| | | |
|/-+ | \----------- C12 (4)
|| | |
|| | \----- C13 (5)
|| |
|| | C2 (12)
|| |
\+ \ C6 (40)
|
|- C41 (36)
|
|- C5 (39)
|
\- C7 (41)
|-----------| 0.050 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,C21,C22,C23,C24,C25,C26,C29,C3,C30,C32,C33,C34,C35,C39,C4,C40,C42,(C27,C28,C31,C36,C37,C38),(((((C10,C8),((C11,((C14,C15,C16,C17,C18,C19,C43),C20),C9),C12)),C13),C2,C6),C41,C5,C7))`
>Would you like to use it (y/n)?
>Loaded a multiple sequence alignment with **43** sequences, **77** codons, and **1** partitions from `/data//pss_subsets/229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E.result/original_alignment/fubar/results/229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E.result.1/229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E.result.1.fna`
> FUBAR will write cache and result files to _/data//pss_subsets/229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E.result/original_alignment/fubar/results/229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E.result.1/229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E.result.1.fna.FUBAR.cache_ and _/data//pss_subsets/229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E.result/original_alignment/fubar/results/229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E.result.1/229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E.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) = -930.92, AIC-c = 1984.61 (61 estimated parameters)
* Tree length (expected substitutions/site) for partition 1 : 0.663
### 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 = 0.357
* Computing conditional site likelihoods on a 20 x 20 rate grid
### Running an iterative zeroth order variational Bayes procedure to estimate the posterior mean of rate weights
* Using the following settings
* Dirichlet alpha : 0.5
### Tabulating site-level results
| Codon | Partition | alpha | beta |Posterior prob for positive selection|
|:--------------:|:--------------:|:--------------:|:--------------:|:-----------------------------------:|
| 50 | 1 | 0.613 | 4.452 | Pos. posterior = 0.9278 |
----
## FUBAR inferred 1 sites subject to diversifying positive selection at posterior probability >= 0.9
Of these, 0.07 are expected to be false positives (95% confidence interval of 0-1 )
CLUSTAL FORMAT for T-COFFEE Version_12.00.7fb08c2 [http://www.tcoffee.org] [MODE: ], CPU=0.08 sec, SCORE=1000, Nseq=43, Len=77
0349_NA_AFR79252_1_2010_Netherlands_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_E_AAG48595_1_NA_Thailand_Unknown_Human_coronavirus_229E MFLKLVDDHALVVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_Haiti_1_2016_NA_AST12966_1_2016_03_Haiti_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_UF_1_2016_NA_ARX11398_1_2016_11_23_USA_Unknown_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_human_USA_933_50_1993_E_AGT21347_1_1993_03_18_USA_Human_Human_coronavirus_229E MFLKLVDDHALVVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_human_USA_933_40_1993_E_AGT21369_1_1993_03_11_USA_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
BtCoV_AT1A_F1_Hip_aba_GHA_2010_NA_ALK28795_1_2010_Ghana_Bat_Human_coronavirus_229E MFLKLVDDHAIIVNVILWLIVLLVVLLICITLIKLIKLCFTCHMFCSRTV
BtCoV_FO1A_F2_Hip_aba_GHA_2010_NA_ALK28783_1_2010_Ghana_Bat_Human_coronavirus_229E MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTV
0349_NA_AFR79252_1_2010_Netherlands_Human_Human_coronavirus_229E0 MFLKLVDDHAIIVNVLLWLIVLLVVLLICITLIKLIKLCFTCHMFCSRTV
0349_NA_AFR79252_1_2010_Netherlands_Human_Human_coronavirus_229E1 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTV
0349_NA_AFR79252_1_2010_Netherlands_Human_Human_coronavirus_229E2 MFLKLVDDHALVVNVLLWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
0349_NA_AFR79252_1_2010_Netherlands_Human_Human_coronavirus_229E3 MFLKLVDDHALVVNVLLWCVVLIVVLLVCITIIKLIKLCFTCHMFCNRTV
0349_NA_AFR79252_1_2010_Netherlands_Human_Human_coronavirus_229E4 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
0349_NA_AFR79252_1_2010_Netherlands_Human_Human_coronavirus_229E5 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTV
0349_NA_AFR79252_1_2010_Netherlands_Human_Human_coronavirus_229E6 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
0349_NA_AFR79252_1_2010_Netherlands_Human_Human_coronavirus_229E7 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
0349_NA_AFR79252_1_2010_Netherlands_Human_Human_coronavirus_229E8 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
0349_NA_AFR79252_1_2010_Netherlands_Human_Human_coronavirus_229E9 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
229E_E_AAG48595_1_NA_Thailand_Unknown_Human_coronavirus_229E0 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTF
229E_E_AAG48595_1_NA_Thailand_Unknown_Human_coronavirus_229E1 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_E_AAG48595_1_NA_Thailand_Unknown_Human_coronavirus_229E2 MFLKLVDDHALIVNVLIWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_E_AAG48595_1_NA_Thailand_Unknown_Human_coronavirus_229E3 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_E_AAG48595_1_NA_Thailand_Unknown_Human_coronavirus_229E4 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_E_AAG48595_1_NA_Thailand_Unknown_Human_coronavirus_229E5 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_E_AAG48595_1_NA_Thailand_Unknown_Human_coronavirus_229E6 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_E_AAG48595_1_NA_Thailand_Unknown_Human_coronavirus_229E7 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_E_AAG48595_1_NA_Thailand_Unknown_Human_coronavirus_229E8 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_E_AAG48595_1_NA_Thailand_Unknown_Human_coronavirus_229E9 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_Haiti_1_2016_NA_AST12966_1_2016_03_Haiti_Human_Human_coronavirus_229E0 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_Haiti_1_2016_NA_AST12966_1_2016_03_Haiti_Human_Human_coronavirus_229E1 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_Haiti_1_2016_NA_AST12966_1_2016_03_Haiti_Human_Human_coronavirus_229E2 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_Haiti_1_2016_NA_AST12966_1_2016_03_Haiti_Human_Human_coronavirus_229E3 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_Haiti_1_2016_NA_AST12966_1_2016_03_Haiti_Human_Human_coronavirus_229E4 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_Haiti_1_2016_NA_AST12966_1_2016_03_Haiti_Human_Human_coronavirus_229E5 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_Haiti_1_2016_NA_AST12966_1_2016_03_Haiti_Human_Human_coronavirus_229E6 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_Haiti_1_2016_NA_AST12966_1_2016_03_Haiti_Human_Human_coronavirus_229E7 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_Haiti_1_2016_NA_AST12966_1_2016_03_Haiti_Human_Human_coronavirus_229E8 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_Haiti_1_2016_NA_AST12966_1_2016_03_Haiti_Human_Human_coronavirus_229E9 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_UF_1_2016_NA_ARX11398_1_2016_11_23_USA_Unknown_Human_coronavirus_229E0 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_UF_1_2016_NA_ARX11398_1_2016_11_23_USA_Unknown_Human_coronavirus_229E1 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_UF_1_2016_NA_ARX11398_1_2016_11_23_USA_Unknown_Human_coronavirus_229E2 MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV
229E_UF_1_2016_NA_ARX11398_1_2016_11_23_USA_Unknown_Human_coronavirus_229E3 MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI
**********::***::* :**:*:**:***:**************.:*.
0349_NA_AFR79252_1_2010_Netherlands_Human_Human_coronavirus_229E YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_E_AAG48595_1_NA_Thailand_Unknown_Human_coronavirus_229E YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_Haiti_1_2016_NA_AST12966_1_2016_03_Haiti_Human_Human_coronavirus_229E YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_UF_1_2016_NA_ARX11398_1_2016_11_23_USA_Unknown_Human_coronavirus_229E YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_human_USA_933_50_1993_E_AGT21347_1_1993_03_18_USA_Human_Human_coronavirus_229E YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_human_USA_933_40_1993_E_AGT21369_1_1993_03_11_USA_Human_Human_coronavirus_229E YGPIKNVYHIYQSYMHIDPFPKRVIDF
BtCoV_AT1A_F1_Hip_aba_GHA_2010_NA_ALK28795_1_2010_Ghana_Bat_Human_coronavirus_229E YDPVRNAYHIYQSYMHIDPFPK-FPDV
BtCoV_FO1A_F2_Hip_aba_GHA_2010_NA_ALK28783_1_2010_Ghana_Bat_Human_coronavirus_229E YGPIKNVYHIYQSYMHIDPFPRQIIDV
0349_NA_AFR79252_1_2010_Netherlands_Human_Human_coronavirus_229E0 YNPVRNAYHIYQSYMHIDPFPT--FDV
0349_NA_AFR79252_1_2010_Netherlands_Human_Human_coronavirus_229E1 YGPIKNVYHIYQSYMHIDPFPTQIIDV
0349_NA_AFR79252_1_2010_Netherlands_Human_Human_coronavirus_229E2 YGPIKNVYHIYQSYMHIDPFPKQVISV
0349_NA_AFR79252_1_2010_Netherlands_Human_Human_coronavirus_229E3 YGPIKNVYHIYQSYMHIDPFPKQIIDV
0349_NA_AFR79252_1_2010_Netherlands_Human_Human_coronavirus_229E4 YGPIKNVYHIYQSYMHIDPFPRQIIDV
0349_NA_AFR79252_1_2010_Netherlands_Human_Human_coronavirus_229E5 YGPIKNVYHIYQSYMHIDPFPRQIIDV
0349_NA_AFR79252_1_2010_Netherlands_Human_Human_coronavirus_229E6 YGPIKNVYHIYQSYMHIDPFPRQIIDV
0349_NA_AFR79252_1_2010_Netherlands_Human_Human_coronavirus_229E7 YGPIKNVYHIYQSYMHIDPFPRQIIDV
0349_NA_AFR79252_1_2010_Netherlands_Human_Human_coronavirus_229E8 YGPIKNVYHIYQSYMHIDPFPRQIIDV
0349_NA_AFR79252_1_2010_Netherlands_Human_Human_coronavirus_229E9 YGPIKNVYHIYQSYMHIDPFPRQIIDV
229E_E_AAG48595_1_NA_Thailand_Unknown_Human_coronavirus_229E0 YGPIKNVYHIYQSYMHIDPFPRQIIDV
229E_E_AAG48595_1_NA_Thailand_Unknown_Human_coronavirus_229E1 YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_E_AAG48595_1_NA_Thailand_Unknown_Human_coronavirus_229E2 YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_E_AAG48595_1_NA_Thailand_Unknown_Human_coronavirus_229E3 YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_E_AAG48595_1_NA_Thailand_Unknown_Human_coronavirus_229E4 YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_E_AAG48595_1_NA_Thailand_Unknown_Human_coronavirus_229E5 YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_E_AAG48595_1_NA_Thailand_Unknown_Human_coronavirus_229E6 YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_E_AAG48595_1_NA_Thailand_Unknown_Human_coronavirus_229E7 YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_E_AAG48595_1_NA_Thailand_Unknown_Human_coronavirus_229E8 YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_E_AAG48595_1_NA_Thailand_Unknown_Human_coronavirus_229E9 YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_Haiti_1_2016_NA_AST12966_1_2016_03_Haiti_Human_Human_coronavirus_229E0 YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_Haiti_1_2016_NA_AST12966_1_2016_03_Haiti_Human_Human_coronavirus_229E1 YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_Haiti_1_2016_NA_AST12966_1_2016_03_Haiti_Human_Human_coronavirus_229E2 YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_Haiti_1_2016_NA_AST12966_1_2016_03_Haiti_Human_Human_coronavirus_229E3 YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_Haiti_1_2016_NA_AST12966_1_2016_03_Haiti_Human_Human_coronavirus_229E4 YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_Haiti_1_2016_NA_AST12966_1_2016_03_Haiti_Human_Human_coronavirus_229E5 YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_Haiti_1_2016_NA_AST12966_1_2016_03_Haiti_Human_Human_coronavirus_229E6 YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_Haiti_1_2016_NA_AST12966_1_2016_03_Haiti_Human_Human_coronavirus_229E7 YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_Haiti_1_2016_NA_AST12966_1_2016_03_Haiti_Human_Human_coronavirus_229E8 YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_Haiti_1_2016_NA_AST12966_1_2016_03_Haiti_Human_Human_coronavirus_229E9 YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_UF_1_2016_NA_ARX11398_1_2016_11_23_USA_Unknown_Human_coronavirus_229E0 YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_UF_1_2016_NA_ARX11398_1_2016_11_23_USA_Unknown_Human_coronavirus_229E1 YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_UF_1_2016_NA_ARX11398_1_2016_11_23_USA_Unknown_Human_coronavirus_229E2 YGPIKNVYHIYQSYMHIDPFPKRVIDF
229E_UF_1_2016_NA_ARX11398_1_2016_11_23_USA_Unknown_Human_coronavirus_229E3 YGPIKNVYHIYQSYMHIDPFPRQIIDV
*.*::*.************** ..
>0349_NA_AFR79252_1_2010_Netherlands_Human_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGATTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGTAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCATATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >229E_E_AAG48595_1_NA_Thailand_Unknown_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGGTTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGTAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCACATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >229E_Haiti_1_2016_NA_AST12966_1_2016_03_Haiti_Human_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGATTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGTAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCATATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >229E_UF_1_2016_NA_ARX11398_1_2016_11_23_USA_Unknown_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGATTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGTAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCATATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGATTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGTAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCACATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >229E_human_USA_933_50_1993_E_AGT21347_1_1993_03_18_USA_Human_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGGTTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGTAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCACATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >229E_human_USA_933_40_1993_E_AGT21369_1_1993_03_11_USA_Human_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGATTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGTAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCACATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >BtCoV_AT1A_F1_Hip_aba_GHA_2010_NA_ALK28795_1_2010_Ghana_Bat_Human_coronavirus_229E ATGTTCCTGAAATTAGTGGATGATCATGCTATCATTGTTAATGTTATACTGTGGTTAATAGTACTTCTTGTAGTGCTGTTGATATGCATAACATTAATTAAACTAATCAAACTCTGCTTTACGTGTCATATGTTCTGTTCTAGGACAGTTTATGACCCAGTTCGCAATGCTTATCACATTTACCAATCTTATATGCACATAGACCCTTTTCCCAAA---TTTCCTGATGTC >BtCoV_FO1A_F2_Hip_aba_GHA_2010_NA_ALK28783_1_2010_Ghana_Bat_Human_coronavirus_229E ATGTTTCTGAAGCTAGTGGATGATCATGCTTTAGTTGTAAATGTAATACTGTGGTGCGTAGTACTTATAGTACTTTTGCTAGTTTGTATTACTATTATCAAACTAATTAAGTTATGTTTTACATGCCATATGTTTTGTAATAAAACGGTTTATGGTCCTATTAAAAATGTATACCACATTTACCAATCATATATGCACATAGACCCTTTCCCTAGACAAATTATTGATGTC >BtCoV_KW2E_F56_Hip_cf_rub_GHA_2011_NA_ALK28789_1_2011_Ghana_Bat_Human_coronavirus_229E ATGTTTCTGAAATTAGTGGATGATCATGCTATCATAGTTAATGTTTTACTTTGGCTGATAGTGTTGCTTGTAGTATTGCTTATATGTATAACATTAATTAAATTGATTAAACTATGCTTTACTTGCCATATGTTTTGTTCTAGAACGGTTTATAATCCAGTTCGCAATGCATATCACATTTACCAGTCTTATATGCACATAGACCCTTTTCCTACT------TTTGATGTC >BtCoV_KW2E_F151_Hip_cf_rub_GHA_2011_NA_ALK28777_1_2011_Ghana_Bat_Human_coronavirus_229E ATGTTTCTGAAGCTAGTGGATGATCATGCTTTAGTTGTAAATGTAATACTGTGGTGCGTAGTACTTATAGTACTCTTGCTAGTTTGTATTACAATTATTAAATTAATTAAGTTATGTTTTACATGCCATATGTTTTGTAATAAAACGGTTTATGGTCCCATTAAAAATGTATATCACATTTACCAATCATATATGCACATAGACCCTTTCCCTACACAAATTATTGATGTC >BtKY229E_1_E_APD51501_1_2009_06_20_Kenya_Bat_Human_coronavirus_229E ATGTTCCTGAAGCTAGTTGATGATCACGCTTTGGTTGTTAATGTACTACTTTGGTGTGTGGTGCTTATAGTACTACTACTAGTATGTATTACAATAATAAAATTAATTAAGCTATGTTTTACTTGCCATATGTTTTGTAATAAAACAATTTATGGTCCTATTAAAAATGTATATCACATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACAAGTTATAAGTGTC >BtKY229E_8_E_APD51509_1_2010_06_Kenya_Bat_Human_coronavirus_229E ATGTTTCTGAAGCTAGTGGATGATCATGCTTTGGTTGTTAATGTATTACTCTGGTGTGTAGTTCTTATAGTGGTACTACTAGTGTGTATTACAATAATAAAACTAATTAAGCTTTGTTTTACCTGCCATATGTTTTGTAATAGAACAGTTTATGGCCCAATTAAAAATGTATATCACATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACAAATTATTGATGTC >Camel229E_CoV_AC04_KSA_2014_NA_AOI28285_1_2014_Saudi_Arabia_Camel_Human_coronavirus_229E ATGTTTCTGAAGCTAGTGGATGATCATGCTTTAGTTGTAAATGTAATACTGTGGTGCGTAGTACTTATAGTACTTTTGCTAGTTTGTATTACAATTATTAAACTAATTAAATTATGTTTTACATGCCATATGTTTTGTAATAAAACGATTTATGGTCCCATTAAAAATGTGTATCACATTTACCAATCATACATGCACATAGACCCTTTCCCCAGACAAATTATTGATGTC >CA08_1_2008_E_AFI49433_1_2008_USA_Camel_Human_coronavirus_229E ATGTTTCTGAAGCTAGTGGATGATCATGCTTTAGTTGTAAATGTAATACTGTGGTGCGTAGTACTTATAGTACTTTTGCTAGTTTGTATTACAATTATTAAACTAATTAAATTATGTTTTACATGCCATATGTTTTGTAATAAAACGGTTTATGGTCCCATTAAAAATGTGTATCACATTTACCAATCATACATGCACATAGACCCTTTCCCTAGACAAATTATTGATGTC >Camel229E_CoV_JC49_KSA_2014_NA_AOI28269_1_2014_Saudi_Arabia_Camel_Human_coronavirus_229E ATGTTTCTGAAGCTAGTGGATGATCATGCTTTAGTTGTAAATGTAATACTGTGGTGCGTAGTACTTATAGTACTTTTGCTAGTTTGTATTACAATTATTAAACTAATTAAATTATGTTTTACATGCCATATGTTTTGTAATAAAACGATTTATGGTCCCATTAAAAATGTGTATCACATTTACCAATCATACATGCACATAGACCCTTTCCCTAGACAAATTATTGATGTC >Camel229E_CoV_JC50_HUH7_KSA_2014_NA_AOI28292_1_2014_Saudi_Arabia_Camel_Human_coronavirus_229E ATGTTTCTGAAGCTAGTGGATGATCATGCTTTAGTTGTAAATGTAATACTGTGGTGCGTAGTACTTATAGTACTTTTGCTAGTTTGTATTACAATTATTAAACTAATTAAATTATGTTTTACATGCCATATGTTTTGTAATAAAACGATTTATGGTCCCATTAAAAATGTGTATCACATTTACCAATCATACATGCACATAGACCCTTTCCCTAGACAAATTATTGATGTC >Camel229E_CoV_JC50_KSA_2014_NA_AOI28260_1_2014_Saudi_Arabia_Camel_Human_coronavirus_229E ATGTTTCTGAAGCTAGTGGATGATCATGCTTTAGTTGTAAATGTAATACTGTGGTGCGTAGTACTTATAGTACTTTTGCTAGTTTGTATTACAATTATTAAACTAATTAAATTATGTTTTACATGCCATATGTTTTGTAATAAAACGATTTATGGTCCCATTAAAAATGTGTATCACATTTACCAATCATACATGCACATAGACCCTTTCCCTAGACAAATTATTGATGTC >Camel229E_CoV_JC52_KSA_2014_NA_AOI28277_1_2014_Saudi_Arabia_Camel_Human_coronavirus_229E ATGTTTCTGAAGCTAGTGGATGATCATGCTTTAGTTGTAAATGTAATACTGTGGTGCGTAGTACTTATAGTACTTTTGCTAGTTTGTATTACAATTATTAAACTAATTAAATTATGTTTTACATGCCATATGTTTTGTAATAAAACGATTTATGGTCCCATTAAAAATGTGTATCACATTTACCAATCATACATGCACATAGACCCTTTCCCTAGACAAATTATTGATGTC >Camel229E_CoV_KCSP1_KEN_2015_NA_AOG74791_1_2015_Kenya_Camel_Human_coronavirus_229E ATGTTTCTGAAGCTAGTGGATGATCATGCTTTAGTTGTAAATGTAATACTGTGGTGCGTAGTACTTATAGTACTTTTGCTAGTTTGTATTACAATTATTAAACTAATTAAATTATGTTTTACATGCCATATGTTTTGTAATAAAACGTTTTATGGTCCCATTAAAAATGTATATCATATTTACCAATCATACATGCACATAGACCCTTTCCCTAGACAAATTATTGATGTT >HCoV_229E_Seattle_USA_SC1073_2016_NA_APT69885_1_2016_USA_Human_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGATTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGTAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCATATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >HCoV_229E_BN1_GER_2015_NA_AOG74785_1_2015_Germany_Human_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGATTGTTAATGTACTAATCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGTAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCATATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >HCoV_229E_Seattle_USA_SC0865_2019_NA_QEG03787_1_2019_USA_Human_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGATTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGTAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCATATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >HCoV_229E_Seattle_USA_SC1143_2016_NA_APT69864_1_2016_USA_Human_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGATTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGTAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCATATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >HCoV_229E_Seattle_USA_SC1212_2016_NA_APT69871_1_2016_USA_Human_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGATTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGTAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCATATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >HCoV_229E_Seattle_USA_SC2282_2017_NA_ARA15431_1_2016_USA_Human_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGATTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGTAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCATATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >HCoV_229E_Seattle_USA_SC2872_2015_NA_ARK08644_1_2015_USA_Human_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGATTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGCAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCATATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >HCoV_229E_Seattle_USA_SC3112_2015_NA_ARU07603_1_2015_USA_Human_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGATTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGCAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCATATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >HCoV_229E_Seattle_USA_SC399_2016_NA_ARB07394_1_2016_USA_Human_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGATTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGTAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCATATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >HCoV_229E_Seattle_USA_SC379_2016_NA_ARK08622_1_2016_USA_Human_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGATTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGTAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCATATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >HCoV_229E_Seattle_USA_SC579_2016_NA_APT69851_1_2016_USA_Human_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGATTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGCAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCATATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >HCoV_229E_Seattle_USA_SC677_2016_NA_APT69858_1_2016_USA_Human_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGATTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGTAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCATATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >HCoV_229E_Seattle_USA_SC9731_2016_NA_APT69878_1_2016_USA_Human_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGATTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATCAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGTAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCATATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >HCoV_229E_Seattle_USA_SC9724_2018_NA_QEO75987_1_2018_USA_Human_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGATTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGTAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCATATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >HCoV_229E_Seattle_USA_SC9773_2016_NA_APT69894_1_2016_USA_Human_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGATTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGTAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCATATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >HCoV_229E_USA_ACRI_0244_2017_E_QJY77957_1_2017_02_24_USA_Human_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGATTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGCAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCATATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >HCoV_229E_USA_ACRI_0246_2017_E_QJY77973_1_2017_02_27_USA_Human_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGATTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGCAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCATATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >HCoV_229E_USA_ACRI_0256_2017_E_QJY77965_1_2017_02_24_USA_Human_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGATTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGCAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCATATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >HCoV_229E_USA_UAMS_DID_0108_2017_E_QJY77981_1_2017_01_27_USA_Human_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGATTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGTAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCATATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >HCoV_229E_USA_UNM_0186_2016_E_QJY77949_1_2016_02_09_USA_Human_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGATTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGTAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCATATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >J0304_NA_AFR79259_1_2009_Italy_Human_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGATTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGTAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCACATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >N08_434B_NA_ARB07427_1_2016_USA_Human_Human_coronavirus_229E ATGTTCCTTAAGCTAGTGGATGATCATGCTTTGATTGTTAATGTACTACTCTGGTGTGTGGTGCTTATAGTGATACTACTAGTGTGTATTACAATAATTAAACTAATTAAGCTTTGTTTCACTTGCCATATGTTTTGTAATAGAACAGTTTATGGCCCCATTAAAAATGTGTACCATATTTACCAATCATATATGCACATAGACCCTTTCCCTAAACGAGTTATTGATTTC >camel_Abu_Dhabi_B38_E_ATI09439_1_2015_United_Arab_Emirates_Camel_Human_coronavirus_229E ATGTTTCTGAAGCTAGTGGATGATCATGCTTTAGTTGTAAATGTAATACTGTGGTGCGTAGTACTTATAGTACTTTTGCTAGTTTGTATTACAATTATTAAACTAATTAAATTATGTTTTACATGCCATATGTTTTGTAATAAAACGATTTATGGTCCCATTAAAAATGTGTATCACATTTACCAATCATACATGCACATAGACCCTTTCCCTAGACAAATTATTGATGTC
>0349_NA_AFR79252_1_2010_Netherlands_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >229E_E_AAG48595_1_NA_Thailand_Unknown_Human_coronavirus_229E MFLKLVDDHALVVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >229E_Haiti_1_2016_NA_AST12966_1_2016_03_Haiti_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >229E_UF_1_2016_NA_ARX11398_1_2016_11_23_USA_Unknown_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >229E_human_USA_933_50_1993_E_AGT21347_1_1993_03_18_USA_Human_Human_coronavirus_229E MFLKLVDDHALVVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >229E_human_USA_933_40_1993_E_AGT21369_1_1993_03_11_USA_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >BtCoV_AT1A_F1_Hip_aba_GHA_2010_NA_ALK28795_1_2010_Ghana_Bat_Human_coronavirus_229E MFLKLVDDHAIIVNVILWLIVLLVVLLICITLIKLIKLCFTCHMFCSRTV YDPVRNAYHIYQSYMHIDPFPK-FPDV >BtCoV_FO1A_F2_Hip_aba_GHA_2010_NA_ALK28783_1_2010_Ghana_Bat_Human_coronavirus_229E MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTV YGPIKNVYHIYQSYMHIDPFPRQIIDV >BtCoV_KW2E_F56_Hip_cf_rub_GHA_2011_NA_ALK28789_1_2011_Ghana_Bat_Human_coronavirus_229E MFLKLVDDHAIIVNVLLWLIVLLVVLLICITLIKLIKLCFTCHMFCSRTV YNPVRNAYHIYQSYMHIDPFPT--FDV >BtCoV_KW2E_F151_Hip_cf_rub_GHA_2011_NA_ALK28777_1_2011_Ghana_Bat_Human_coronavirus_229E MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTV YGPIKNVYHIYQSYMHIDPFPTQIIDV >BtKY229E_1_E_APD51501_1_2009_06_20_Kenya_Bat_Human_coronavirus_229E MFLKLVDDHALVVNVLLWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI YGPIKNVYHIYQSYMHIDPFPKQVISV >BtKY229E_8_E_APD51509_1_2010_06_Kenya_Bat_Human_coronavirus_229E MFLKLVDDHALVVNVLLWCVVLIVVLLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKQIIDV >Camel229E_CoV_AC04_KSA_2014_NA_AOI28285_1_2014_Saudi_Arabia_Camel_Human_coronavirus_229E MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI YGPIKNVYHIYQSYMHIDPFPRQIIDV >CA08_1_2008_E_AFI49433_1_2008_USA_Camel_Human_coronavirus_229E MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTV YGPIKNVYHIYQSYMHIDPFPRQIIDV >Camel229E_CoV_JC49_KSA_2014_NA_AOI28269_1_2014_Saudi_Arabia_Camel_Human_coronavirus_229E MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI YGPIKNVYHIYQSYMHIDPFPRQIIDV >Camel229E_CoV_JC50_HUH7_KSA_2014_NA_AOI28292_1_2014_Saudi_Arabia_Camel_Human_coronavirus_229E MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI YGPIKNVYHIYQSYMHIDPFPRQIIDV >Camel229E_CoV_JC50_KSA_2014_NA_AOI28260_1_2014_Saudi_Arabia_Camel_Human_coronavirus_229E MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI YGPIKNVYHIYQSYMHIDPFPRQIIDV >Camel229E_CoV_JC52_KSA_2014_NA_AOI28277_1_2014_Saudi_Arabia_Camel_Human_coronavirus_229E MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI YGPIKNVYHIYQSYMHIDPFPRQIIDV >Camel229E_CoV_KCSP1_KEN_2015_NA_AOG74791_1_2015_Kenya_Camel_Human_coronavirus_229E MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTF YGPIKNVYHIYQSYMHIDPFPRQIIDV >HCoV_229E_Seattle_USA_SC1073_2016_NA_APT69885_1_2016_USA_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >HCoV_229E_BN1_GER_2015_NA_AOG74785_1_2015_Germany_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLIWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >HCoV_229E_Seattle_USA_SC0865_2019_NA_QEG03787_1_2019_USA_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >HCoV_229E_Seattle_USA_SC1143_2016_NA_APT69864_1_2016_USA_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >HCoV_229E_Seattle_USA_SC1212_2016_NA_APT69871_1_2016_USA_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >HCoV_229E_Seattle_USA_SC2282_2017_NA_ARA15431_1_2016_USA_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >HCoV_229E_Seattle_USA_SC2872_2015_NA_ARK08644_1_2015_USA_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >HCoV_229E_Seattle_USA_SC3112_2015_NA_ARU07603_1_2015_USA_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >HCoV_229E_Seattle_USA_SC399_2016_NA_ARB07394_1_2016_USA_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >HCoV_229E_Seattle_USA_SC379_2016_NA_ARK08622_1_2016_USA_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >HCoV_229E_Seattle_USA_SC579_2016_NA_APT69851_1_2016_USA_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >HCoV_229E_Seattle_USA_SC677_2016_NA_APT69858_1_2016_USA_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >HCoV_229E_Seattle_USA_SC9731_2016_NA_APT69878_1_2016_USA_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >HCoV_229E_Seattle_USA_SC9724_2018_NA_QEO75987_1_2018_USA_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >HCoV_229E_Seattle_USA_SC9773_2016_NA_APT69894_1_2016_USA_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >HCoV_229E_USA_ACRI_0244_2017_E_QJY77957_1_2017_02_24_USA_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >HCoV_229E_USA_ACRI_0246_2017_E_QJY77973_1_2017_02_27_USA_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >HCoV_229E_USA_ACRI_0256_2017_E_QJY77965_1_2017_02_24_USA_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >HCoV_229E_USA_UAMS_DID_0108_2017_E_QJY77981_1_2017_01_27_USA_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >HCoV_229E_USA_UNM_0186_2016_E_QJY77949_1_2016_02_09_USA_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >J0304_NA_AFR79259_1_2009_Italy_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >N08_434B_NA_ARB07427_1_2016_USA_Human_Human_coronavirus_229E MFLKLVDDHALIVNVLLWCVVLIVILLVCITIIKLIKLCFTCHMFCNRTV YGPIKNVYHIYQSYMHIDPFPKRVIDF >camel_Abu_Dhabi_B38_E_ATI09439_1_2015_United_Arab_Emirates_Camel_Human_coronavirus_229E MFLKLVDDHALVVNVILWCVVLIVLLLVCITIIKLIKLCFTCHMFCNKTI YGPIKNVYHIYQSYMHIDPFPRQIIDV
Reading sequence file /data//pss_subsets/229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E.result/original_alignment/fubar/fasta/229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E.result.1
Found 43 sequences of length 231
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 7.9%
Found 61 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 21
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 56 polymorphic sites
**p-Value(s)**
----------
NSS: 6.70e-02 (1000 permutations)
Max Chi^2: 9.36e-01 (1000 permutations)
PHI (Permutation): 2.57e-01 (1000 permutations)
PHI (Normal): 2.60e-01
#NEXUS
[ID: 6467154132]
begin taxa;
dimensions ntax=43;
taxlabels
0349_NA_AFR79252_1_2010_Netherlands_Human_Human_coronavirus_229E
BtCoV_KW2E_F56_Hip_cf_rub_GHA_2011_NA_ALK28789_1_2011_Ghana_Bat_Human_coronavirus_229E
BtCoV_KW2E_F151_Hip_cf_rub_GHA_2011_NA_ALK28777_1_2011_Ghana_Bat_Human_coronavirus_229E
BtKY229E_1_E_APD51501_1_2009_06_20_Kenya_Bat_Human_coronavirus_229E
BtKY229E_8_E_APD51509_1_2010_06_Kenya_Bat_Human_coronavirus_229E
Camel229E_CoV_AC04_KSA_2014_NA_AOI28285_1_2014_Saudi_Arabia_Camel_Human_coronavirus_229E
CA08_1_2008_E_AFI49433_1_2008_USA_Camel_Human_coronavirus_229E
Camel229E_CoV_JC49_KSA_2014_NA_AOI28269_1_2014_Saudi_Arabia_Camel_Human_coronavirus_229E
Camel229E_CoV_JC50_HUH7_KSA_2014_NA_AOI28292_1_2014_Saudi_Arabia_Camel_Human_coronavirus_229E
Camel229E_CoV_JC50_KSA_2014_NA_AOI28260_1_2014_Saudi_Arabia_Camel_Human_coronavirus_229E
Camel229E_CoV_JC52_KSA_2014_NA_AOI28277_1_2014_Saudi_Arabia_Camel_Human_coronavirus_229E
229E_E_AAG48595_1_NA_Thailand_Unknown_Human_coronavirus_229E
Camel229E_CoV_KCSP1_KEN_2015_NA_AOG74791_1_2015_Kenya_Camel_Human_coronavirus_229E
HCoV_229E_Seattle_USA_SC1073_2016_NA_APT69885_1_2016_USA_Human_Human_coronavirus_229E
HCoV_229E_BN1_GER_2015_NA_AOG74785_1_2015_Germany_Human_Human_coronavirus_229E
HCoV_229E_Seattle_USA_SC0865_2019_NA_QEG03787_1_2019_USA_Human_Human_coronavirus_229E
HCoV_229E_Seattle_USA_SC1143_2016_NA_APT69864_1_2016_USA_Human_Human_coronavirus_229E
HCoV_229E_Seattle_USA_SC1212_2016_NA_APT69871_1_2016_USA_Human_Human_coronavirus_229E
HCoV_229E_Seattle_USA_SC2282_2017_NA_ARA15431_1_2016_USA_Human_Human_coronavirus_229E
HCoV_229E_Seattle_USA_SC2872_2015_NA_ARK08644_1_2015_USA_Human_Human_coronavirus_229E
HCoV_229E_Seattle_USA_SC3112_2015_NA_ARU07603_1_2015_USA_Human_Human_coronavirus_229E
HCoV_229E_Seattle_USA_SC399_2016_NA_ARB07394_1_2016_USA_Human_Human_coronavirus_229E
229E_Haiti_1_2016_NA_AST12966_1_2016_03_Haiti_Human_Human_coronavirus_229E
HCoV_229E_Seattle_USA_SC379_2016_NA_ARK08622_1_2016_USA_Human_Human_coronavirus_229E
HCoV_229E_Seattle_USA_SC579_2016_NA_APT69851_1_2016_USA_Human_Human_coronavirus_229E
HCoV_229E_Seattle_USA_SC677_2016_NA_APT69858_1_2016_USA_Human_Human_coronavirus_229E
HCoV_229E_Seattle_USA_SC9731_2016_NA_APT69878_1_2016_USA_Human_Human_coronavirus_229E
HCoV_229E_Seattle_USA_SC9724_2018_NA_QEO75987_1_2018_USA_Human_Human_coronavirus_229E
HCoV_229E_Seattle_USA_SC9773_2016_NA_APT69894_1_2016_USA_Human_Human_coronavirus_229E
HCoV_229E_USA_ACRI_0244_2017_E_QJY77957_1_2017_02_24_USA_Human_Human_coronavirus_229E
HCoV_229E_USA_ACRI_0246_2017_E_QJY77973_1_2017_02_27_USA_Human_Human_coronavirus_229E
HCoV_229E_USA_ACRI_0256_2017_E_QJY77965_1_2017_02_24_USA_Human_Human_coronavirus_229E
HCoV_229E_USA_UAMS_DID_0108_2017_E_QJY77981_1_2017_01_27_USA_Human_Human_coronavirus_229E
229E_UF_1_2016_NA_ARX11398_1_2016_11_23_USA_Unknown_Human_coronavirus_229E
HCoV_229E_USA_UNM_0186_2016_E_QJY77949_1_2016_02_09_USA_Human_Human_coronavirus_229E
J0304_NA_AFR79259_1_2009_Italy_Human_Human_coronavirus_229E
N08_434B_NA_ARB07427_1_2016_USA_Human_Human_coronavirus_229E
camel_Abu_Dhabi_B38_E_ATI09439_1_2015_United_Arab_Emirates_Camel_Human_coronavirus_229E
229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E
229E_human_USA_933_50_1993_E_AGT21347_1_1993_03_18_USA_Human_Human_coronavirus_229E
229E_human_USA_933_40_1993_E_AGT21369_1_1993_03_11_USA_Human_Human_coronavirus_229E
BtCoV_AT1A_F1_Hip_aba_GHA_2010_NA_ALK28795_1_2010_Ghana_Bat_Human_coronavirus_229E
BtCoV_FO1A_F2_Hip_aba_GHA_2010_NA_ALK28783_1_2010_Ghana_Bat_Human_coronavirus_229E
;
end;
begin trees;
translate
1 0349_NA_AFR79252_1_2010_Netherlands_Human_Human_coronavirus_229E,
2 BtCoV_KW2E_F56_Hip_cf_rub_GHA_2011_NA_ALK28789_1_2011_Ghana_Bat_Human_coronavirus_229E,
3 BtCoV_KW2E_F151_Hip_cf_rub_GHA_2011_NA_ALK28777_1_2011_Ghana_Bat_Human_coronavirus_229E,
4 BtKY229E_1_E_APD51501_1_2009_06_20_Kenya_Bat_Human_coronavirus_229E,
5 BtKY229E_8_E_APD51509_1_2010_06_Kenya_Bat_Human_coronavirus_229E,
6 Camel229E_CoV_AC04_KSA_2014_NA_AOI28285_1_2014_Saudi_Arabia_Camel_Human_coronavirus_229E,
7 CA08_1_2008_E_AFI49433_1_2008_USA_Camel_Human_coronavirus_229E,
8 Camel229E_CoV_JC49_KSA_2014_NA_AOI28269_1_2014_Saudi_Arabia_Camel_Human_coronavirus_229E,
9 Camel229E_CoV_JC50_HUH7_KSA_2014_NA_AOI28292_1_2014_Saudi_Arabia_Camel_Human_coronavirus_229E,
10 Camel229E_CoV_JC50_KSA_2014_NA_AOI28260_1_2014_Saudi_Arabia_Camel_Human_coronavirus_229E,
11 Camel229E_CoV_JC52_KSA_2014_NA_AOI28277_1_2014_Saudi_Arabia_Camel_Human_coronavirus_229E,
12 229E_E_AAG48595_1_NA_Thailand_Unknown_Human_coronavirus_229E,
13 Camel229E_CoV_KCSP1_KEN_2015_NA_AOG74791_1_2015_Kenya_Camel_Human_coronavirus_229E,
14 HCoV_229E_Seattle_USA_SC1073_2016_NA_APT69885_1_2016_USA_Human_Human_coronavirus_229E,
15 HCoV_229E_BN1_GER_2015_NA_AOG74785_1_2015_Germany_Human_Human_coronavirus_229E,
16 HCoV_229E_Seattle_USA_SC0865_2019_NA_QEG03787_1_2019_USA_Human_Human_coronavirus_229E,
17 HCoV_229E_Seattle_USA_SC1143_2016_NA_APT69864_1_2016_USA_Human_Human_coronavirus_229E,
18 HCoV_229E_Seattle_USA_SC1212_2016_NA_APT69871_1_2016_USA_Human_Human_coronavirus_229E,
19 HCoV_229E_Seattle_USA_SC2282_2017_NA_ARA15431_1_2016_USA_Human_Human_coronavirus_229E,
20 HCoV_229E_Seattle_USA_SC2872_2015_NA_ARK08644_1_2015_USA_Human_Human_coronavirus_229E,
21 HCoV_229E_Seattle_USA_SC3112_2015_NA_ARU07603_1_2015_USA_Human_Human_coronavirus_229E,
22 HCoV_229E_Seattle_USA_SC399_2016_NA_ARB07394_1_2016_USA_Human_Human_coronavirus_229E,
23 229E_Haiti_1_2016_NA_AST12966_1_2016_03_Haiti_Human_Human_coronavirus_229E,
24 HCoV_229E_Seattle_USA_SC379_2016_NA_ARK08622_1_2016_USA_Human_Human_coronavirus_229E,
25 HCoV_229E_Seattle_USA_SC579_2016_NA_APT69851_1_2016_USA_Human_Human_coronavirus_229E,
26 HCoV_229E_Seattle_USA_SC677_2016_NA_APT69858_1_2016_USA_Human_Human_coronavirus_229E,
27 HCoV_229E_Seattle_USA_SC9731_2016_NA_APT69878_1_2016_USA_Human_Human_coronavirus_229E,
28 HCoV_229E_Seattle_USA_SC9724_2018_NA_QEO75987_1_2018_USA_Human_Human_coronavirus_229E,
29 HCoV_229E_Seattle_USA_SC9773_2016_NA_APT69894_1_2016_USA_Human_Human_coronavirus_229E,
30 HCoV_229E_USA_ACRI_0244_2017_E_QJY77957_1_2017_02_24_USA_Human_Human_coronavirus_229E,
31 HCoV_229E_USA_ACRI_0246_2017_E_QJY77973_1_2017_02_27_USA_Human_Human_coronavirus_229E,
32 HCoV_229E_USA_ACRI_0256_2017_E_QJY77965_1_2017_02_24_USA_Human_Human_coronavirus_229E,
33 HCoV_229E_USA_UAMS_DID_0108_2017_E_QJY77981_1_2017_01_27_USA_Human_Human_coronavirus_229E,
34 229E_UF_1_2016_NA_ARX11398_1_2016_11_23_USA_Unknown_Human_coronavirus_229E,
35 HCoV_229E_USA_UNM_0186_2016_E_QJY77949_1_2016_02_09_USA_Human_Human_coronavirus_229E,
36 J0304_NA_AFR79259_1_2009_Italy_Human_Human_coronavirus_229E,
37 N08_434B_NA_ARB07427_1_2016_USA_Human_Human_coronavirus_229E,
38 camel_Abu_Dhabi_B38_E_ATI09439_1_2015_United_Arab_Emirates_Camel_Human_coronavirus_229E,
39 229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E,
40 229E_human_USA_933_50_1993_E_AGT21347_1_1993_03_18_USA_Human_Human_coronavirus_229E,
41 229E_human_USA_933_40_1993_E_AGT21369_1_1993_03_11_USA_Human_Human_coronavirus_229E,
42 BtCoV_AT1A_F1_Hip_aba_GHA_2010_NA_ALK28795_1_2010_Ghana_Bat_Human_coronavirus_229E,
43 BtCoV_FO1A_F2_Hip_aba_GHA_2010_NA_ALK28783_1_2010_Ghana_Bat_Human_coronavirus_229E
;
[Note: This tree contains information on the topology,
branch lengths (if present), and the probability
of the partition indicated by the branch.]
tree con_50_majrule = (1:2.316933e-03,14:2.350809e-03,15:5.933741e-03,16:2.374926e-03,17:2.398611e-03,18:2.487475e-03,19:2.353466e-03,22:2.318105e-03,23:2.365231e-03,24:2.364005e-03,26:2.399562e-03,27:5.815337e-03,28:2.408320e-03,29:2.416517e-03,33:2.536509e-03,34:2.413528e-03,35:2.436770e-03,37:2.316144e-03,(20:2.396089e-03,21:2.376781e-03,25:2.413262e-03,30:2.420598e-03,31:2.335951e-03,32:2.395995e-03)0.858:5.769832e-03,(((((2:7.051288e-02,42:6.652665e-02)1.000:1.578455e-01,((3:1.209003e-02,((6:6.027938e-03,7:2.986651e-03,8:2.445149e-03,9:2.472372e-03,10:2.402756e-03,11:2.482958e-03,38:2.460380e-03)0.520:5.973205e-03,13:1.475156e-02)0.994:1.198413e-02,43:1.587226e-02)1.000:6.801036e-02,4:4.539247e-02)0.628:2.072488e-02)0.550:1.817558e-02,5:2.146258e-02)1.000:3.405185e-02,12:2.345327e-03,40:2.426606e-03)0.846:5.836514e-03,36:2.419841e-03,39:2.440508e-03,41:2.410049e-03)0.839:5.808358e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:2.316933e-03,14:2.350809e-03,15:5.933741e-03,16:2.374926e-03,17:2.398611e-03,18:2.487475e-03,19:2.353466e-03,22:2.318105e-03,23:2.365231e-03,24:2.364005e-03,26:2.399562e-03,27:5.815337e-03,28:2.408320e-03,29:2.416517e-03,33:2.536509e-03,34:2.413528e-03,35:2.436770e-03,37:2.316144e-03,(20:2.396089e-03,21:2.376781e-03,25:2.413262e-03,30:2.420598e-03,31:2.335951e-03,32:2.395995e-03):5.769832e-03,(((((2:7.051288e-02,42:6.652665e-02):1.578455e-01,((3:1.209003e-02,((6:6.027938e-03,7:2.986651e-03,8:2.445149e-03,9:2.472372e-03,10:2.402756e-03,11:2.482958e-03,38:2.460380e-03):5.973205e-03,13:1.475156e-02):1.198413e-02,43:1.587226e-02):6.801036e-02,4:4.539247e-02):2.072488e-02):1.817558e-02,5:2.146258e-02):3.405185e-02,12:2.345327e-03,40:2.426606e-03):5.836514e-03,36:2.419841e-03,39:2.440508e-03,41:2.410049e-03):5.808358e-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 -797.17 -839.79
2 -799.19 -834.06
--------------------------------------
TOTAL -797.74 -839.10
--------------------------------------
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} 0.625090 0.009972 0.450834 0.826889 0.616595 1118.23 1141.12 1.000
r(A<->C){all} 0.118538 0.001743 0.042614 0.201875 0.115312 561.90 580.62 1.000
r(A<->G){all} 0.349618 0.003786 0.234982 0.477647 0.348056 442.23 492.09 1.001
r(A<->T){all} 0.082693 0.000633 0.039826 0.135408 0.079446 695.58 707.90 1.000
r(C<->G){all} 0.057952 0.001396 0.000984 0.128877 0.051685 317.78 385.54 1.001
r(C<->T){all} 0.334969 0.003871 0.223381 0.463935 0.332549 419.55 428.03 1.000
r(G<->T){all} 0.056231 0.000703 0.011966 0.110081 0.052500 625.52 646.37 1.001
pi(A){all} 0.290273 0.000699 0.237966 0.340017 0.290677 885.86 953.84 1.000
pi(C){all} 0.172348 0.000458 0.130792 0.213566 0.171984 937.67 971.73 1.000
pi(G){all} 0.154383 0.000430 0.115777 0.197246 0.153665 883.85 956.49 1.001
pi(T){all} 0.382995 0.000873 0.324079 0.438182 0.383014 907.27 942.53 1.000
alpha{1,2} 0.581751 0.172991 0.159159 1.327740 0.468631 912.88 933.08 1.000
alpha{3} 2.606183 1.609897 0.698327 5.058081 2.335589 1365.20 1367.83 1.000
pinvar{all} 0.122708 0.007913 0.000063 0.290919 0.104895 965.80 1035.83 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,C21,C22,C23,C24,C25,C26,C29,C3,C30,C32,C33,C34,C35,C39,C4,C40,C42,(C27,C28,C31,C36,C37,C38),(((((C10,C8),((C11,((C14,C15,C16,C17,C18,C19,C43),C20),C9),C12)),C13),C2,C6),C41,C5,C7))` >Would you like to use it (y/n)? >Loaded a multiple sequence alignment with **43** sequences, **77** codons, and **1** partitions from `/data//pss_subsets/229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E.result/original_alignment/fubar/results/229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E.result.1/229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E.result.1.fna` > FUBAR will write cache and result files to _/data//pss_subsets/229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E.result/original_alignment/fubar/results/229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E.result.1/229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E.result.1.fna.FUBAR.cache_ and _/data//pss_subsets/229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E.result/original_alignment/fubar/results/229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E.result.1/229E_human_USA_932_72_1993_E_AGT21362_1_1993_02_22_USA_Human_Human_coronavirus_229E.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) = -930.92, AIC-c = 1984.61 (61 estimated parameters) * Tree length (expected substitutions/site) for partition 1 : 0.663 ### 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 = 0.357 * Computing conditional site likelihoods on a 20 x 20 rate grid ### Running an iterative zeroth order variational Bayes procedure to estimate the posterior mean of rate weights * Using the following settings * Dirichlet alpha : 0.5 ### Tabulating site-level results | Codon | Partition | alpha | beta |Posterior prob for positive selection| |:--------------:|:--------------:|:--------------:|:--------------:|:-----------------------------------:| | 50 | 1 | 0.613 | 4.452 | Pos. posterior = 0.9278 | ---- ## FUBAR inferred 1 sites subject to diversifying positive selection at posterior probability >= 0.9 Of these, 0.07 are expected to be false positives (95% confidence interval of 0-1 )
Not all of the following information may be relevant for the case being handled, since this project may be part of a much larger auto-PSS-genome project where several methods of detection of positively selected sites have been used. As such the aligned.score_ascii file may have more sequences than the file effectively used to detect positively selected codons, since the content of this file reflects the content of the file used for the master alignment, from which a subsample may have been taken # ### General parameters ### # # The maximum number of sequences to use for the master file sequence_limit=90 # The random seed random_seed=3976763 # ### Alignment ### # # The alignment method: clustalw, muscle, kalign, t_coffee, or amap align_method=muscle # Minimum support value for amino acid positions in the alignment tcoffee_min_score=3 # ### MrBayes ### # # Number of iterations in MrBayes mrbayes_generations=1000000 # MrBayes burnin mrbayes_burnin=2500 # ### FUBAR ### # # The maximum number of sequences to be used by FUBAR. fubar_sequence_limit=90 # The number of FUBAR runs fubar_runs=1 # ### codeML ### # # The maximum number of sequences to be used by CodeML codeml_sequence_limit=30 # The number of CodeML runs codeml_runs=1 # The CodeML models to be run, one or more of: '1', '2', '7', and/or '8'. codeml_models=1 2 7 8 # ### OmegaMap ### # # The maximum number of sequences to use in OmegaMap omegamap_sequence_limit=90 # The number of OmegaMap runs omegamap_runs=1 # The number of OmegaMap iterations omegamap_iterations=2500
Phone: +351 220 408 800
Email: info@i3s.up.pt
Address: Rua Alfredo Allen, 208
4200-135 Porto, Portugal
If you use B+, please cite us:
N. Vázquez, C.P. Vieira, B.S.R. Amorin, A. Torres, H. López-Fernández, F. Fdez-Riverola, J.L.R. Sousa, M. Reboiro-Jato, J. Vieira (2018) Large Scale Analyses and Visualization of Adaptive Amino Acid Changes Projects. Interdisciplinary Sciences: Computational Life Sciences. https://doi.org/10.1007/s12539-018-0282-7
N. Vázquez, C.P. Vieira, B.S.R. Amorin, A. Torres, H. López-Fernández, F. Fdez-Riverola, J.L.R. Sousa, M. Reboiro-Jato, J. Vieira (2017) Automated Collection and Sharing of Adaptive Amino Acid Changes Data. 11th International Conference on Practical Applications of Computational Biology & Bioinformatics. Porto, Portugal. https://doi.org/10.1007/978-3-319-60816-7_3
