--- 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 -471.49 -486.06
2 -471.23 -483.96
--------------------------------------
TOTAL -471.35 -485.48
--------------------------------------
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} 0.042151 0.000238 0.016822 0.071223 0.040234 1450.57 1461.43 1.000
r(A<->C){all} 0.258675 0.012177 0.062585 0.474071 0.249302 89.15 92.46 1.000
r(A<->G){all} 0.206307 0.011463 0.033201 0.421811 0.191887 77.30 78.77 1.002
r(A<->T){all} 0.097765 0.004288 0.002584 0.227955 0.084308 131.55 135.51 1.001
r(C<->G){all} 0.152767 0.009051 0.008037 0.337393 0.136455 87.29 94.61 1.000
r(C<->T){all} 0.169334 0.008304 0.023298 0.352702 0.155434 65.37 78.38 1.001
r(G<->T){all} 0.115152 0.006079 0.006809 0.272199 0.098304 76.43 91.67 1.001
pi(A){all} 0.280122 0.000655 0.226439 0.327264 0.279794 771.04 802.53 1.002
pi(C){all} 0.208239 0.000553 0.162933 0.253367 0.207324 670.24 766.57 1.000
pi(G){all} 0.188624 0.000510 0.142772 0.231314 0.188297 875.58 905.70 1.000
pi(T){all} 0.323015 0.000745 0.266821 0.373418 0.323932 735.79 780.48 1.002
alpha{1,2} 0.746129 0.717937 0.000327 2.329224 0.466153 614.90 647.20 1.000
alpha{3} 1.167151 1.061900 0.002381 3.152054 0.892139 512.64 753.98 1.000
pinvar{all} 0.487687 0.065718 0.022602 0.879274 0.504656 216.68 229.71 1.001
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
--- CODEML SUMMARY
-- Starting log on Tue Nov 08 20:15:04 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result--
-- Starting log on Tue Nov 08 20:15:31 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result--
-- Starting log on Tue Nov 08 20:15:04 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result--
-- Starting log on Tue Nov 08 20:37:08 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/gapped_alignment/fubar,NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.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 60 taxa and 282 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 -> C44
Taxon 40 -> C45
Taxon 41 -> C46
Taxon 42 -> C47
Taxon 43 -> C48
Taxon 44 -> C49
Taxon 45 -> C5
Taxon 46 -> C50
Taxon 47 -> C51
Taxon 48 -> C52
Taxon 49 -> C53
Taxon 50 -> C54
Taxon 51 -> C55
Taxon 52 -> C56
Taxon 53 -> C57
Taxon 54 -> C58
Taxon 55 -> C59
Taxon 56 -> C6
Taxon 57 -> C60
Taxon 58 -> C7
Taxon 59 -> C8
Taxon 60 -> C9
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1667939830
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) = 1800450015
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 = 9960301469
Seed = 242332909
Swapseed = 1667939830
Model settings:
Settings for partition 1 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Settings for partition 2 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Settings for partition 3 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Active parameters:
Partition(s)
Parameters 1 2 3
---------------------------
Revmat 1 1 1
Statefreq 2 2 2
Shape 3 3 4
Pinvar 5 5 5
Ratemultiplier 6 6 6
Topology 7 7 7
Brlens 8 8 8
---------------------------
Parameters can be linked or unlinked across partitions using 'link' and 'unlink'
1 -- Parameter = Revmat{all}
Type = Rates of reversible rate matrix
Prior = Dirichlet(1.00,1.00,1.00,1.00,1.00,1.00)
Partitions = All
2 -- Parameter = Pi{all}
Type = Stationary state frequencies
Prior = Dirichlet
Partitions = All
3 -- Parameter = Alpha{1,2}
Type = Shape of scaled gamma distribution of site rates
Prior = Exponential(1.00)
Partitions = 1 and 2
4 -- Parameter = Alpha{3}
Type = Shape of scaled gamma distribution of site rates
Prior = Exponential(1.00)
Partition = 3
5 -- Parameter = Pinvar{all}
Type = Proportion of invariable sites
Prior = Uniform(0.00,1.00)
Partitions = All
6 -- Parameter = Ratemultiplier{all}
Type = Partition-specific rate multiplier
Prior = Fixed(1.0)
Partitions = All
7 -- Parameter = Tau{all}
Type = Topology
Prior = All topologies equally probable a priori
Partitions = All
Subparam. = V{all}
8 -- Parameter = V{all}
Type = Branch lengths
Prior = Unconstrained:GammaDir(1.0,0.1000,1.0,1.0)
Partitions = All
The MCMC sampler will use the following moves:
With prob. Chain will use move
0.91 % Dirichlet(Revmat{all})
0.91 % Slider(Revmat{all})
0.91 % Dirichlet(Pi{all})
0.91 % Slider(Pi{all})
1.82 % Multiplier(Alpha{1,2})
1.82 % Multiplier(Alpha{3})
1.82 % Slider(Pinvar{all})
9.09 % ExtSPR(Tau{all},V{all})
9.09 % ExtTBR(Tau{all},V{all})
9.09 % NNI(Tau{all},V{all})
9.09 % ParsSPR(Tau{all},V{all})
36.36 % Multiplier(V{all})
12.73 % Nodeslider(V{all})
5.45 % TLMultiplier(V{all})
Division 1 has 9 unique site patterns
Division 2 has 5 unique site patterns
Division 3 has 12 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 -- -980.257131 -- 124.083986
Chain 2 -- -969.402620 -- 124.083986
Chain 3 -- -970.765654 -- 124.083986
Chain 4 -- -979.083769 -- 124.083986
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -977.694526 -- 124.083986
Chain 2 -- -982.844359 -- 124.083986
Chain 3 -- -971.467106 -- 124.083986
Chain 4 -- -977.307652 -- 124.083986
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-980.257] (-969.403) (-970.766) (-979.084) * [-977.695] (-982.844) (-971.467) (-977.308)
1000 -- (-634.514) (-670.119) [-641.485] (-717.768) * (-697.828) (-712.239) [-617.749] (-674.476) -- 0:16:39
2000 -- (-598.762) (-668.510) [-590.750] (-666.391) * (-645.584) (-655.854) [-599.415] (-648.774) -- 0:16:38
3000 -- (-592.186) (-680.206) [-561.968] (-629.425) * (-635.281) (-607.131) [-594.786] (-630.873) -- 0:16:37
4000 -- (-598.306) (-627.749) [-553.702] (-595.815) * (-605.364) (-592.516) [-581.257] (-619.603) -- 0:12:27
5000 -- (-597.169) (-592.533) [-557.688] (-568.653) * (-587.716) (-586.034) [-560.189] (-605.839) -- 0:13:16
Average standard deviation of split frequencies: 0.085372
6000 -- (-599.707) (-591.582) [-549.101] (-568.766) * (-577.598) (-573.194) (-582.361) [-567.666] -- 0:13:48
7000 -- (-573.914) (-580.872) [-546.724] (-566.331) * (-575.550) (-571.438) (-579.662) [-563.006] -- 0:14:11
8000 -- (-571.724) (-566.851) [-536.595] (-575.594) * (-577.610) (-562.131) (-580.747) [-552.760] -- 0:14:28
9000 -- (-557.713) (-563.440) [-541.439] (-565.162) * (-575.166) (-567.824) (-577.439) [-541.523] -- 0:14:40
10000 -- (-561.696) (-561.443) [-541.659] (-558.145) * (-569.888) (-565.504) (-580.976) [-540.014] -- 0:14:51
Average standard deviation of split frequencies: 0.109788
11000 -- (-574.556) (-567.787) [-540.339] (-561.247) * (-576.239) (-570.203) (-581.978) [-542.198] -- 0:13:29
12000 -- (-574.181) (-565.426) [-539.032] (-561.628) * (-574.434) (-566.484) (-581.023) [-548.852] -- 0:13:43
13000 -- (-569.749) (-567.483) [-544.512] (-559.924) * (-577.211) (-569.843) (-580.034) [-556.084] -- 0:13:55
14000 -- (-565.874) (-568.205) [-555.792] (-560.025) * (-588.521) (-572.240) (-579.807) [-557.371] -- 0:14:05
15000 -- (-562.649) (-575.758) [-540.792] (-560.055) * (-586.141) (-577.245) (-585.646) [-546.802] -- 0:14:13
Average standard deviation of split frequencies: 0.099154
16000 -- (-560.825) (-578.597) [-542.506] (-557.247) * (-583.401) (-577.383) (-581.799) [-538.250] -- 0:14:21
17000 -- (-557.848) (-577.588) [-541.876] (-563.115) * (-568.281) (-576.842) (-589.421) [-542.703] -- 0:14:27
18000 -- (-563.174) (-579.763) [-540.519] (-571.017) * (-575.673) (-585.311) (-588.452) [-548.364] -- 0:14:32
19000 -- (-561.342) (-581.647) [-532.929] (-568.135) * (-591.636) (-578.620) (-582.221) [-545.804] -- 0:14:37
20000 -- (-557.841) (-579.194) [-534.439] (-563.670) * (-570.392) (-577.851) (-577.153) [-545.308] -- 0:13:53
Average standard deviation of split frequencies: 0.082686
21000 -- (-559.967) (-575.700) [-543.953] (-567.752) * (-596.457) (-565.950) (-577.132) [-551.756] -- 0:13:59
22000 -- (-562.193) (-564.313) [-537.975] (-561.126) * (-583.205) (-564.928) (-572.595) [-542.187] -- 0:14:04
23000 -- (-562.835) (-569.983) [-539.622] (-563.408) * (-571.157) (-569.359) (-576.306) [-541.919] -- 0:14:09
24000 -- (-563.095) (-579.226) [-548.597] (-559.374) * (-563.432) (-561.720) (-579.406) [-531.516] -- 0:14:14
25000 -- (-565.072) (-580.814) [-544.060] (-569.973) * (-565.182) (-576.226) (-577.221) [-538.237] -- 0:13:39
Average standard deviation of split frequencies: 0.061253
26000 -- (-563.907) (-578.083) [-547.061] (-562.013) * (-570.925) (-579.960) (-574.596) [-535.750] -- 0:13:44
27000 -- (-559.277) (-585.813) [-547.707] (-574.738) * (-566.446) (-588.964) (-577.067) [-540.688] -- 0:13:48
28000 -- (-564.514) (-575.278) [-548.260] (-563.143) * (-555.183) (-588.233) (-574.710) [-539.341] -- 0:13:53
29000 -- (-566.760) (-562.758) [-550.075] (-572.029) * (-559.473) (-569.092) (-571.313) [-535.830] -- 0:13:57
30000 -- (-566.434) (-578.491) [-556.385] (-568.565) * (-569.614) (-583.599) (-574.066) [-531.140] -- 0:14:00
Average standard deviation of split frequencies: 0.059158
31000 -- (-563.596) (-579.103) [-557.456] (-571.170) * (-562.358) (-589.197) (-565.105) [-537.705] -- 0:14:03
32000 -- (-565.770) (-570.759) [-559.023] (-570.421) * (-557.498) (-587.644) (-567.619) [-533.974] -- 0:13:36
33000 -- (-566.815) (-569.550) [-560.289] (-563.413) * (-563.074) (-580.454) (-578.919) [-540.206] -- 0:13:40
34000 -- (-571.592) (-567.006) [-545.522] (-558.036) * (-565.292) (-575.077) (-575.721) [-540.911] -- 0:13:43
35000 -- (-580.305) (-562.445) [-544.709] (-565.563) * (-555.596) (-585.150) (-584.849) [-544.026] -- 0:13:47
Average standard deviation of split frequencies: 0.064654
36000 -- (-583.424) (-557.758) [-551.647] (-573.487) * (-560.573) (-581.412) (-581.004) [-533.629] -- 0:13:50
37000 -- (-569.327) (-556.645) [-550.688] (-562.894) * (-556.697) (-583.409) (-579.118) [-530.651] -- 0:13:52
38000 -- (-558.871) (-555.281) [-544.198] (-558.013) * (-559.023) (-564.780) (-588.641) [-534.617] -- 0:13:30
39000 -- (-567.794) (-560.177) [-546.965] (-561.332) * (-570.070) (-569.571) (-597.397) [-533.430] -- 0:13:33
40000 -- (-566.448) (-557.653) [-542.208] (-582.279) * (-561.505) (-568.312) (-580.639) [-538.154] -- 0:13:36
Average standard deviation of split frequencies: 0.064690
41000 -- (-559.566) (-563.296) [-546.772] (-566.987) * (-561.918) (-570.060) (-577.560) [-536.778] -- 0:13:38
42000 -- (-571.670) (-565.916) [-546.678] (-554.204) * (-559.964) (-571.186) (-568.022) [-540.182] -- 0:13:41
43000 -- (-567.382) (-561.795) [-544.424] (-562.014) * (-553.587) (-579.650) (-563.326) [-542.255] -- 0:13:43
44000 -- (-561.810) (-560.541) [-533.816] (-568.790) * (-569.095) (-576.009) (-569.407) [-539.782] -- 0:13:23
45000 -- (-560.560) (-572.359) [-532.750] (-564.691) * (-564.231) (-585.798) (-561.554) [-543.977] -- 0:13:26
Average standard deviation of split frequencies: 0.064904
46000 -- (-562.598) (-568.982) [-542.418] (-578.060) * (-571.639) (-580.785) (-563.717) [-543.261] -- 0:13:28
47000 -- (-563.103) (-574.389) [-539.639] (-561.341) * (-576.616) (-576.895) (-563.860) [-543.854] -- 0:13:31
48000 -- (-560.682) (-566.741) [-542.442] (-563.251) * (-577.291) (-581.350) (-563.757) [-541.569] -- 0:13:33
49000 -- (-572.243) (-572.033) [-541.446] (-558.646) * (-575.034) (-576.412) (-574.929) [-536.742] -- 0:13:15
50000 -- (-568.450) (-565.032) [-548.561] (-554.033) * (-574.692) (-572.602) (-574.310) [-537.775] -- 0:13:18
Average standard deviation of split frequencies: 0.065419
51000 -- (-559.388) (-567.857) [-537.645] (-552.190) * (-573.047) (-581.520) (-571.938) [-540.227] -- 0:13:20
52000 -- (-565.016) (-561.853) [-539.514] (-560.297) * (-570.847) (-571.402) (-569.827) [-536.714] -- 0:13:22
53000 -- (-554.370) (-565.388) [-538.958] (-564.471) * (-576.720) (-576.784) (-587.376) [-531.058] -- 0:13:24
54000 -- (-566.230) (-563.703) [-543.735] (-573.036) * (-557.596) (-565.095) (-578.531) [-536.291] -- 0:13:25
55000 -- (-578.872) (-559.123) [-540.911] (-587.093) * (-562.055) (-574.361) (-578.307) [-537.262] -- 0:13:10
Average standard deviation of split frequencies: 0.062163
56000 -- (-573.293) (-564.788) [-543.640] (-578.073) * (-569.689) (-574.596) (-573.757) [-542.688] -- 0:13:12
57000 -- (-574.122) (-559.610) [-539.265] (-578.595) * (-568.870) (-572.727) (-577.370) [-541.322] -- 0:13:14
58000 -- (-558.660) (-560.565) [-541.336] (-572.663) * (-570.679) (-568.429) (-578.953) [-537.526] -- 0:13:15
59000 -- (-561.714) (-571.710) [-538.983] (-570.953) * (-559.790) (-573.997) (-570.840) [-535.537] -- 0:13:17
60000 -- (-560.442) (-577.167) [-545.951] (-564.234) * (-563.825) (-585.138) (-576.019) [-539.385] -- 0:13:19
Average standard deviation of split frequencies: 0.057218
61000 -- (-566.504) (-577.932) [-544.775] (-560.301) * (-561.014) (-577.045) (-578.007) [-536.205] -- 0:13:05
62000 -- (-559.262) (-573.838) [-545.075] (-562.563) * (-567.451) (-591.654) (-572.733) [-536.244] -- 0:13:06
63000 -- (-567.574) (-590.517) [-542.732] (-568.576) * (-566.669) (-577.505) (-578.969) [-540.180] -- 0:13:08
64000 -- (-566.076) (-579.897) [-539.946] (-571.814) * (-561.723) (-580.781) (-574.954) [-545.417] -- 0:13:09
65000 -- (-563.349) (-575.648) [-538.441] (-571.465) * (-561.319) (-587.436) (-575.159) [-546.052] -- 0:13:11
Average standard deviation of split frequencies: 0.055140
66000 -- (-571.713) (-580.034) [-535.108] (-559.216) * (-559.060) (-576.753) (-577.332) [-538.723] -- 0:13:12
67000 -- (-558.172) (-577.987) [-534.001] (-551.831) * (-552.865) (-585.319) (-584.635) [-532.364] -- 0:13:13
68000 -- (-560.027) (-577.149) [-538.762] (-562.667) * (-544.929) (-578.472) (-583.450) [-534.964] -- 0:13:01
69000 -- (-556.140) (-572.173) [-545.895] (-563.622) * (-554.656) (-574.297) (-581.207) [-531.589] -- 0:13:02
70000 -- (-562.966) (-574.090) [-538.658] (-562.175) * (-562.256) (-574.340) (-581.296) [-533.582] -- 0:13:03
Average standard deviation of split frequencies: 0.051699
71000 -- (-580.423) (-554.402) [-537.325] (-568.887) * (-558.554) (-572.354) (-580.228) [-535.048] -- 0:13:05
72000 -- (-587.397) (-564.764) [-537.006] (-573.908) * (-567.490) (-567.469) (-574.566) [-538.266] -- 0:13:06
73000 -- (-570.858) (-559.212) [-541.200] (-567.936) * (-567.254) (-574.513) (-568.354) [-530.604] -- 0:13:07
74000 -- (-559.329) (-562.121) [-540.404] (-570.059) * (-563.926) (-574.014) (-562.922) [-532.030] -- 0:13:08
75000 -- (-566.075) (-570.943) [-540.442] (-567.468) * (-566.318) (-576.972) (-566.349) [-536.256] -- 0:12:57
Average standard deviation of split frequencies: 0.054584
76000 -- (-553.182) (-572.572) [-542.379] (-581.864) * (-553.886) (-569.185) (-561.163) [-535.949] -- 0:12:58
77000 -- (-556.211) (-562.982) [-539.277] (-563.907) * (-558.765) (-567.427) (-563.666) [-544.498] -- 0:12:59
78000 -- (-560.160) (-553.598) [-543.204] (-582.194) * (-563.783) (-564.559) (-569.402) [-545.658] -- 0:13:00
79000 -- (-550.620) (-562.891) [-540.738] (-578.789) * (-562.584) (-577.283) (-563.945) [-546.802] -- 0:13:01
80000 -- (-552.406) (-563.226) [-546.190] (-569.562) * (-563.932) (-576.749) (-570.278) [-548.129] -- 0:13:02
Average standard deviation of split frequencies: 0.055898
81000 -- (-555.597) (-562.011) [-548.426] (-553.953) * (-552.982) (-584.734) (-566.774) [-546.684] -- 0:13:02
82000 -- (-561.416) (-561.471) [-543.892] (-554.315) * (-557.779) (-580.486) (-569.518) [-543.407] -- 0:12:52
83000 -- (-570.654) (-563.819) [-543.030] (-558.014) * (-557.834) (-595.029) (-570.832) [-549.181] -- 0:12:53
84000 -- (-576.471) (-564.257) [-547.079] (-557.615) * (-552.350) (-591.223) (-579.269) [-547.868] -- 0:12:54
85000 -- (-577.575) (-562.482) [-544.179] (-557.957) * (-555.997) (-590.993) (-570.703) [-549.549] -- 0:12:55
Average standard deviation of split frequencies: 0.054814
86000 -- (-573.593) (-556.615) [-547.880] (-550.728) * (-556.470) (-583.810) (-566.483) [-540.223] -- 0:12:55
87000 -- (-574.753) (-574.237) [-551.491] (-553.378) * (-553.153) (-590.022) (-571.670) [-541.955] -- 0:12:56
88000 -- (-578.836) (-569.502) [-549.124] (-556.418) * (-558.668) (-578.038) (-567.167) [-540.798] -- 0:12:57
89000 -- (-571.517) (-572.413) [-549.012] (-562.909) * (-557.637) (-575.756) (-580.117) [-545.691] -- 0:12:57
90000 -- (-568.888) (-555.607) [-549.209] (-552.065) * (-550.460) (-582.700) (-573.327) [-546.996] -- 0:12:48
Average standard deviation of split frequencies: 0.060974
91000 -- (-568.191) (-559.778) [-554.808] (-572.028) * (-551.271) (-571.594) (-571.654) [-547.038] -- 0:12:49
92000 -- (-561.269) (-559.907) [-552.007] (-566.295) * (-548.630) (-587.543) (-559.747) [-539.846] -- 0:12:49
93000 -- (-563.594) (-553.979) [-546.872] (-563.314) * (-556.260) (-592.193) (-564.916) [-539.079] -- 0:12:50
94000 -- (-554.966) (-558.719) [-548.029] (-568.083) * (-564.462) (-574.985) (-563.370) [-535.570] -- 0:12:51
95000 -- (-561.708) (-556.763) [-546.870] (-563.338) * (-555.890) (-575.309) (-567.825) [-532.227] -- 0:12:51
Average standard deviation of split frequencies: 0.056150
96000 -- (-561.759) (-556.564) [-545.097] (-561.747) * (-574.482) (-566.999) (-563.732) [-544.555] -- 0:12:52
97000 -- (-570.315) (-555.169) [-543.891] (-566.929) * (-562.556) (-568.588) (-574.709) [-544.172] -- 0:12:43
98000 -- (-569.338) (-566.544) [-544.620] (-569.314) * (-567.265) (-568.772) (-571.210) [-542.626] -- 0:12:43
99000 -- (-571.514) (-557.852) [-548.589] (-570.772) * (-575.511) (-571.619) (-573.607) [-545.521] -- 0:12:44
100000 -- (-577.762) (-562.896) [-557.405] (-560.724) * (-565.539) (-582.596) (-579.912) [-546.065] -- 0:12:45
Average standard deviation of split frequencies: 0.064820
101000 -- (-581.247) (-556.550) [-543.106] (-560.252) * (-574.245) (-588.844) (-573.531) [-546.836] -- 0:12:45
102000 -- (-574.098) (-558.569) [-544.959] (-568.083) * (-572.771) (-587.685) (-571.722) [-541.893] -- 0:12:45
103000 -- (-566.263) (-555.659) [-543.861] (-561.752) * (-564.318) (-575.392) (-560.678) [-536.803] -- 0:12:46
104000 -- (-573.086) (-558.082) [-540.944] (-575.121) * (-567.236) (-584.693) (-579.720) [-541.065] -- 0:12:38
105000 -- (-563.104) (-569.190) [-548.232] (-574.865) * (-573.537) (-586.125) (-573.846) [-535.917] -- 0:12:38
Average standard deviation of split frequencies: 0.068709
106000 -- (-553.475) (-564.125) [-543.353] (-565.397) * (-573.708) (-588.897) (-571.675) [-535.427] -- 0:12:39
107000 -- (-559.268) (-569.930) [-540.935] (-565.759) * (-573.386) (-584.863) (-565.700) [-539.060] -- 0:12:39
108000 -- (-555.389) (-559.818) [-543.090] (-560.627) * (-580.716) (-592.555) (-569.488) [-531.564] -- 0:12:39
109000 -- (-552.721) (-570.807) [-541.551] (-572.153) * (-579.376) (-589.334) (-565.203) [-539.606] -- 0:12:40
110000 -- (-554.065) (-576.163) [-540.744] (-586.139) * (-571.599) (-573.475) (-564.562) [-535.839] -- 0:12:32
Average standard deviation of split frequencies: 0.071518
111000 -- (-563.084) (-578.467) [-543.038] (-583.348) * (-579.391) (-577.403) (-571.361) [-534.038] -- 0:12:32
112000 -- (-555.177) (-569.116) [-543.056] (-575.591) * (-586.140) (-570.723) (-569.417) [-535.431] -- 0:12:33
113000 -- (-556.145) (-568.963) [-536.887] (-585.737) * (-580.740) (-571.790) (-575.118) [-532.404] -- 0:12:33
114000 -- (-561.489) (-575.202) [-536.756] (-577.447) * (-581.232) (-569.076) (-577.359) [-535.536] -- 0:12:33
115000 -- (-564.633) (-560.956) [-538.224] (-572.278) * (-588.393) (-579.741) (-578.415) [-538.853] -- 0:12:34
Average standard deviation of split frequencies: 0.072080
116000 -- (-557.338) (-558.051) [-534.558] (-570.138) * (-573.304) (-576.953) (-589.182) [-539.337] -- 0:12:34
117000 -- (-558.981) (-563.233) [-536.769] (-563.088) * (-570.254) (-574.005) (-579.070) [-540.582] -- 0:12:34
118000 -- (-564.194) (-561.422) [-542.245] (-574.740) * (-576.814) (-578.498) (-585.140) [-538.780] -- 0:12:27
119000 -- (-559.473) (-564.359) [-536.715] (-564.504) * (-571.376) (-578.743) (-586.254) [-532.324] -- 0:12:27
120000 -- (-563.581) (-572.063) [-536.300] (-568.288) * (-559.097) (-581.433) (-582.056) [-547.304] -- 0:12:28
Average standard deviation of split frequencies: 0.078823
121000 -- (-555.478) (-565.948) [-536.175] (-570.117) * (-561.707) (-576.872) (-562.135) [-541.186] -- 0:12:28
122000 -- (-558.477) (-562.351) [-533.386] (-582.142) * (-561.621) (-579.203) (-566.112) [-537.922] -- 0:12:28
123000 -- (-561.061) (-562.134) [-535.654] (-580.839) * (-563.431) (-574.315) (-587.476) [-544.633] -- 0:12:28
124000 -- (-557.518) (-565.376) [-539.809] (-564.605) * (-563.488) (-577.195) (-580.891) [-542.198] -- 0:12:28
125000 -- (-565.536) (-589.228) [-531.778] (-563.511) * (-566.049) (-572.408) (-582.527) [-553.028] -- 0:12:22
Average standard deviation of split frequencies: 0.074826
126000 -- (-565.971) (-571.422) [-536.484] (-564.416) * (-555.324) (-573.315) (-584.003) [-544.943] -- 0:12:22
127000 -- (-577.988) (-564.064) [-538.729] (-571.241) * (-567.495) (-573.392) (-581.341) [-544.681] -- 0:12:22
128000 -- (-584.209) (-561.316) [-537.269] (-571.186) * (-570.878) (-578.555) (-579.957) [-540.627] -- 0:12:22
129000 -- (-571.290) (-561.149) [-533.416] (-572.121) * (-558.614) (-578.807) (-570.370) [-539.743] -- 0:12:22
130000 -- (-572.871) (-558.662) [-538.926] (-572.070) * (-555.372) (-579.577) (-567.658) [-542.184] -- 0:12:22
Average standard deviation of split frequencies: 0.069607
131000 -- (-572.750) (-555.755) [-537.666] (-572.894) * (-554.842) (-587.381) (-576.610) [-540.327] -- 0:12:16
132000 -- (-573.816) (-560.034) [-536.498] (-579.993) * (-573.009) (-595.755) (-577.331) [-534.864] -- 0:12:16
133000 -- (-576.264) (-560.666) [-529.761] (-577.880) * (-569.323) (-592.713) (-568.544) [-538.016] -- 0:12:16
134000 -- (-564.683) (-563.145) [-534.297] (-580.877) * (-573.243) (-584.868) (-564.502) [-536.046] -- 0:12:16
135000 -- (-566.697) (-561.242) [-538.404] (-568.302) * (-567.134) (-583.181) (-569.614) [-543.268] -- 0:12:16
Average standard deviation of split frequencies: 0.066628
136000 -- (-569.717) (-560.421) [-537.332] (-566.529) * (-575.101) (-589.343) (-571.654) [-535.986] -- 0:12:16
137000 -- (-570.046) (-558.073) [-540.305] (-571.305) * (-567.662) (-584.706) (-573.316) [-538.660] -- 0:12:10
138000 -- (-573.751) (-550.173) [-540.330] (-565.692) * (-570.186) (-585.372) (-576.904) [-533.685] -- 0:12:10
139000 -- (-578.883) (-554.297) [-534.260] (-566.693) * (-574.878) (-589.249) (-581.904) [-536.289] -- 0:12:10
140000 -- (-575.634) (-552.189) [-538.531] (-582.474) * (-576.243) (-579.061) (-571.470) [-543.523] -- 0:12:11
Average standard deviation of split frequencies: 0.063859
141000 -- (-579.761) (-558.867) [-527.930] (-572.918) * (-570.302) (-577.352) (-574.620) [-534.551] -- 0:12:11
142000 -- (-571.955) (-566.690) [-542.405] (-571.920) * (-572.475) (-572.216) (-572.716) [-538.715] -- 0:12:11
143000 -- (-570.267) (-564.070) [-529.519] (-562.149) * (-579.002) (-570.393) (-571.490) [-538.466] -- 0:12:11
144000 -- (-569.090) (-557.635) [-538.388] (-561.470) * (-580.239) (-574.899) (-568.967) [-533.808] -- 0:12:05
145000 -- (-578.695) (-559.019) [-536.283] (-565.471) * (-572.336) (-568.260) (-564.548) [-540.663] -- 0:12:05
Average standard deviation of split frequencies: 0.060630
146000 -- (-566.249) (-565.565) [-544.296] (-568.285) * (-576.032) (-562.258) (-562.164) [-541.679] -- 0:12:05
147000 -- (-564.209) (-560.033) [-541.462] (-575.933) * (-567.276) (-586.963) (-561.953) [-545.134] -- 0:12:05
148000 -- (-569.301) (-558.841) [-537.766] (-578.739) * (-563.995) (-580.864) (-562.043) [-536.558] -- 0:12:05
149000 -- (-575.067) (-562.547) [-539.554] (-569.313) * (-561.090) (-576.448) (-566.603) [-535.026] -- 0:12:05
150000 -- (-563.767) (-570.685) [-534.867] (-587.824) * (-563.517) (-584.289) (-573.113) [-532.988] -- 0:11:59
Average standard deviation of split frequencies: 0.058895
151000 -- (-574.685) (-564.147) [-531.849] (-574.433) * (-562.731) (-568.198) (-570.044) [-540.592] -- 0:11:59
152000 -- (-572.469) (-574.116) [-537.258] (-565.478) * (-564.484) (-568.492) (-570.957) [-538.342] -- 0:11:59
153000 -- (-567.233) (-561.185) [-532.079] (-572.048) * (-559.175) (-577.562) (-572.963) [-537.337] -- 0:11:59
154000 -- (-566.051) (-555.055) [-534.029] (-567.004) * (-559.590) (-574.313) (-581.604) [-535.964] -- 0:11:59
155000 -- (-563.802) (-559.139) [-540.127] (-568.220) * (-563.082) (-574.504) (-581.726) [-532.792] -- 0:11:59
Average standard deviation of split frequencies: 0.053050
156000 -- (-567.898) (-563.704) [-537.954] (-572.638) * (-571.388) (-569.582) (-582.105) [-534.427] -- 0:11:59
157000 -- (-570.839) (-557.870) [-540.997] (-589.552) * (-568.007) (-565.232) (-597.804) [-538.226] -- 0:11:54
158000 -- (-573.913) (-562.312) [-533.280] (-571.438) * (-563.323) (-568.499) (-586.054) [-532.795] -- 0:11:54
159000 -- (-566.700) (-570.504) [-534.099] (-581.387) * (-562.950) (-573.416) (-593.797) [-539.747] -- 0:11:54
160000 -- (-567.815) (-581.066) [-535.244] (-567.783) * (-563.009) (-586.868) (-589.958) [-537.302] -- 0:11:54
Average standard deviation of split frequencies: 0.051183
161000 -- (-562.227) (-570.482) [-539.433] (-564.185) * (-562.661) (-591.553) (-590.447) [-535.312] -- 0:11:53
162000 -- (-565.968) (-567.784) [-532.606] (-564.994) * (-558.308) (-592.757) (-581.100) [-537.940] -- 0:11:53
163000 -- (-566.930) (-566.231) [-541.571] (-561.188) * (-564.843) (-585.431) (-580.582) [-541.680] -- 0:11:48
164000 -- (-574.631) (-572.395) [-542.111] (-557.687) * (-560.852) (-588.295) (-573.681) [-536.299] -- 0:11:48
165000 -- (-571.163) (-580.277) [-537.503] (-564.408) * (-559.762) (-582.330) (-579.620) [-530.657] -- 0:11:48
Average standard deviation of split frequencies: 0.044806
166000 -- (-567.453) (-564.773) [-538.403] (-571.083) * (-559.373) (-580.577) (-587.294) [-528.336] -- 0:11:48
167000 -- (-577.449) (-571.966) [-534.378] (-562.693) * (-557.860) (-566.950) (-577.835) [-526.638] -- 0:11:48
168000 -- (-565.606) (-562.405) [-534.253] (-560.574) * (-560.182) (-582.554) (-576.056) [-534.812] -- 0:11:48
169000 -- (-567.977) (-568.638) [-540.337] (-561.386) * (-562.358) (-581.266) (-570.403) [-536.581] -- 0:11:48
170000 -- (-574.173) (-558.928) [-544.589] (-556.450) * (-566.329) (-581.110) (-571.809) [-537.242] -- 0:11:43
Average standard deviation of split frequencies: 0.042894
171000 -- (-567.921) (-562.338) [-549.539] (-554.416) * (-557.212) (-582.502) (-581.393) [-531.921] -- 0:11:42
172000 -- (-570.752) (-557.018) [-546.164] (-559.583) * (-563.943) (-585.392) (-572.928) [-529.341] -- 0:11:42
173000 -- (-556.542) (-568.699) [-545.891] (-568.696) * (-576.206) (-580.794) (-568.327) [-542.111] -- 0:11:42
174000 -- (-567.092) (-568.846) [-548.589] (-567.016) * (-584.655) (-580.440) (-572.146) [-537.166] -- 0:11:42
175000 -- (-568.287) (-562.139) [-546.484] (-559.909) * (-580.569) (-575.245) (-578.015) [-542.760] -- 0:11:42
Average standard deviation of split frequencies: 0.040334
176000 -- (-565.338) (-563.878) [-549.722] (-562.203) * (-574.073) (-561.893) (-584.445) [-535.476] -- 0:11:42
177000 -- (-574.801) (-564.186) [-543.326] (-566.230) * (-580.111) (-562.271) (-576.634) [-534.681] -- 0:11:37
178000 -- (-560.652) (-566.715) [-543.139] (-573.580) * (-584.049) (-561.933) (-578.486) [-535.302] -- 0:11:37
179000 -- (-558.626) (-571.101) [-544.361] (-565.684) * (-599.250) (-561.889) (-567.062) [-535.769] -- 0:11:37
180000 -- (-561.777) (-571.555) [-548.247] (-567.808) * (-590.269) (-563.872) (-564.125) [-539.988] -- 0:11:37
Average standard deviation of split frequencies: 0.038832
181000 -- (-571.958) (-561.835) [-539.853] (-562.239) * (-595.235) (-566.403) (-566.831) [-533.692] -- 0:11:36
182000 -- (-566.310) (-564.968) [-540.097] (-557.908) * (-590.527) (-574.704) (-567.468) [-535.677] -- 0:11:36
183000 -- (-562.518) (-549.747) [-540.672] (-569.300) * (-576.870) (-571.356) (-568.086) [-535.503] -- 0:11:31
184000 -- (-560.377) (-559.288) [-542.936] (-574.822) * (-566.868) (-565.578) (-564.903) [-536.374] -- 0:11:31
185000 -- (-574.985) (-560.113) [-541.010] (-574.085) * (-571.955) (-569.717) (-587.678) [-543.383] -- 0:11:31
Average standard deviation of split frequencies: 0.036526
186000 -- (-568.076) (-567.381) [-545.803] (-574.178) * (-568.082) (-570.618) (-584.412) [-548.140] -- 0:11:31
187000 -- (-571.703) (-562.761) [-542.890] (-557.037) * (-568.861) (-577.774) (-576.469) [-541.973] -- 0:11:31
188000 -- (-576.785) (-566.228) [-545.783] (-560.827) * (-558.941) (-573.517) (-571.946) [-531.301] -- 0:11:31
189000 -- (-580.235) (-560.504) [-542.240] (-562.972) * (-563.590) (-567.477) (-572.460) [-540.130] -- 0:11:30
190000 -- (-576.202) (-568.455) [-536.841] (-565.063) * (-559.981) (-569.055) (-571.155) [-533.500] -- 0:11:26
Average standard deviation of split frequencies: 0.031867
191000 -- (-571.131) (-576.911) [-542.569] (-566.411) * (-560.138) (-570.678) (-575.191) [-543.729] -- 0:11:26
192000 -- (-571.659) (-569.886) [-546.270] (-569.045) * (-555.099) (-571.312) (-573.802) [-545.271] -- 0:11:25
193000 -- (-567.364) (-565.435) [-544.144] (-561.066) * (-553.974) (-571.728) (-569.720) [-542.750] -- 0:11:25
194000 -- (-575.545) (-561.649) [-542.244] (-564.590) * (-559.715) (-566.840) (-582.722) [-542.517] -- 0:11:25
195000 -- (-572.751) (-565.976) [-548.217] (-555.907) * (-575.289) (-575.228) (-569.950) [-534.771] -- 0:11:25
Average standard deviation of split frequencies: 0.030732
196000 -- (-572.313) (-564.239) [-542.205] (-559.462) * (-570.280) (-576.159) (-565.441) [-536.854] -- 0:11:20
197000 -- (-569.993) (-570.555) [-545.304] (-567.072) * (-555.828) (-570.508) (-562.137) [-534.045] -- 0:11:20
198000 -- (-564.778) (-565.101) [-543.586] (-564.105) * (-560.782) (-579.262) (-563.277) [-536.736] -- 0:11:20
199000 -- (-568.336) (-560.294) [-549.045] (-555.208) * (-559.309) (-585.396) (-569.726) [-543.110] -- 0:11:20
200000 -- (-567.618) (-560.172) [-553.886] (-559.613) * (-568.683) (-579.730) (-560.442) [-542.083] -- 0:11:20
Average standard deviation of split frequencies: 0.029887
201000 -- (-564.720) (-567.099) [-551.002] (-558.060) * (-562.043) (-582.885) (-564.570) [-541.926] -- 0:11:19
202000 -- (-566.363) (-566.757) [-550.143] (-562.212) * (-562.637) (-586.122) (-568.989) [-539.331] -- 0:11:15
203000 -- (-572.948) (-564.895) [-551.583] (-562.946) * (-572.282) (-588.761) (-579.118) [-542.243] -- 0:11:15
204000 -- (-580.610) (-565.641) [-552.087] (-559.100) * (-569.984) (-575.047) (-582.908) [-539.951] -- 0:11:15
205000 -- (-559.000) (-569.720) [-550.921] (-559.559) * (-561.271) (-568.760) (-582.042) [-544.920] -- 0:11:14
Average standard deviation of split frequencies: 0.031147
206000 -- (-566.847) (-561.136) [-549.820] (-563.890) * (-561.546) (-573.825) (-572.808) [-547.102] -- 0:11:14
207000 -- (-571.769) (-568.503) [-540.954] (-569.900) * (-554.909) (-567.452) (-562.901) [-546.088] -- 0:11:14
208000 -- (-573.386) (-572.162) [-537.783] (-565.716) * (-573.420) (-571.420) (-569.349) [-543.784] -- 0:11:13
209000 -- (-570.999) (-570.695) [-544.203] (-574.998) * (-568.568) (-568.080) (-570.095) [-538.166] -- 0:11:09
210000 -- (-563.623) (-570.356) [-541.007] (-575.729) * (-573.209) (-571.943) (-585.202) [-539.436] -- 0:11:09
Average standard deviation of split frequencies: 0.028841
211000 -- (-569.337) (-573.676) [-539.952] (-574.571) * (-567.632) (-577.811) (-582.106) [-542.901] -- 0:11:09
212000 -- (-571.371) (-570.098) [-545.960] (-576.227) * (-564.656) (-572.145) (-584.083) [-538.237] -- 0:11:09
213000 -- (-564.869) (-585.535) [-546.774] (-579.470) * (-560.246) (-577.923) (-585.952) [-543.429] -- 0:11:08
214000 -- (-574.112) (-581.480) [-552.877] (-580.933) * (-560.208) (-565.549) (-591.991) [-544.622] -- 0:11:08
215000 -- (-571.364) (-573.430) [-551.020] (-573.934) * (-559.692) (-582.963) (-587.731) [-539.202] -- 0:11:08
Average standard deviation of split frequencies: 0.030918
216000 -- (-573.196) (-564.854) [-550.742] (-579.137) * (-573.458) (-577.863) (-588.080) [-548.966] -- 0:11:04
217000 -- (-569.466) (-569.550) [-545.270] (-570.805) * (-569.714) (-576.639) (-573.158) [-541.012] -- 0:11:03
218000 -- (-566.170) (-564.396) [-545.421] (-569.332) * (-560.177) (-566.646) (-570.440) [-545.770] -- 0:11:03
219000 -- (-577.674) (-568.735) [-540.636] (-562.751) * (-557.481) (-566.370) (-568.421) [-532.762] -- 0:11:03
220000 -- (-575.074) (-562.391) [-539.797] (-561.121) * (-560.900) (-566.640) (-589.108) [-536.066] -- 0:11:03
Average standard deviation of split frequencies: 0.032281
221000 -- (-571.378) (-568.275) [-543.954] (-568.528) * (-562.516) (-562.392) (-600.080) [-538.775] -- 0:11:02
222000 -- (-556.547) (-569.417) [-548.428] (-577.834) * (-559.642) (-561.977) (-592.800) [-537.165] -- 0:10:58
223000 -- (-566.351) (-577.007) [-549.245] (-571.309) * (-561.580) (-565.340) (-589.605) [-536.788] -- 0:10:58
224000 -- (-566.717) (-563.865) [-547.640] (-565.951) * (-557.381) (-563.755) (-586.643) [-537.842] -- 0:10:58
225000 -- (-558.655) (-553.920) [-538.010] (-571.666) * (-559.504) (-564.420) (-581.938) [-538.002] -- 0:10:57
Average standard deviation of split frequencies: 0.029781
226000 -- (-571.840) (-557.180) [-531.667] (-563.448) * (-563.531) (-561.776) (-577.648) [-534.664] -- 0:10:57
227000 -- (-574.259) (-560.012) [-531.273] (-557.233) * (-566.268) (-570.045) (-574.646) [-537.143] -- 0:10:57
228000 -- (-562.398) (-559.809) [-535.105] (-566.297) * (-560.401) (-571.050) (-578.473) [-543.062] -- 0:10:56
229000 -- (-557.417) (-564.069) [-534.429] (-565.951) * (-563.184) (-573.236) (-583.252) [-533.646] -- 0:10:53
230000 -- (-553.320) (-566.237) [-538.190] (-563.977) * (-572.357) (-579.676) (-571.050) [-537.043] -- 0:10:52
Average standard deviation of split frequencies: 0.029065
231000 -- (-569.587) (-559.886) [-532.458] (-559.435) * (-558.320) (-574.979) (-569.616) [-537.038] -- 0:10:52
232000 -- (-567.181) (-564.112) [-533.898] (-557.607) * (-566.217) (-577.282) (-575.837) [-537.939] -- 0:10:52
233000 -- (-557.752) (-567.807) [-541.812] (-568.127) * (-561.769) (-579.186) (-574.114) [-538.490] -- 0:10:51
234000 -- (-557.268) (-562.866) [-534.706] (-580.709) * (-550.572) (-576.381) (-568.638) [-546.126] -- 0:10:51
235000 -- (-559.964) (-582.203) [-531.019] (-573.650) * (-560.093) (-570.707) (-570.831) [-547.006] -- 0:10:51
Average standard deviation of split frequencies: 0.030739
236000 -- (-554.437) (-570.161) [-537.828] (-573.766) * (-550.752) (-571.460) (-569.788) [-540.849] -- 0:10:47
237000 -- (-552.172) (-563.207) [-534.433] (-583.914) * (-553.882) (-575.102) (-581.821) [-534.046] -- 0:10:47
238000 -- (-562.852) (-555.877) [-545.609] (-581.873) * (-563.220) (-568.396) (-579.525) [-535.669] -- 0:10:46
239000 -- (-569.757) (-561.837) [-540.533] (-574.618) * (-554.532) (-570.862) (-582.162) [-538.377] -- 0:10:46
240000 -- (-554.179) (-558.275) [-536.746] (-565.299) * (-548.658) (-574.494) (-585.272) [-539.792] -- 0:10:46
Average standard deviation of split frequencies: 0.029897
241000 -- (-549.898) (-561.607) [-541.793] (-579.580) * (-572.559) (-571.117) (-579.348) [-538.785] -- 0:10:45
242000 -- (-559.118) (-559.159) [-540.650] (-567.256) * (-565.973) (-580.261) (-566.112) [-536.290] -- 0:10:45
243000 -- (-557.611) (-558.722) [-541.948] (-568.676) * (-570.703) (-572.970) (-570.359) [-536.698] -- 0:10:41
244000 -- (-559.152) (-562.920) [-552.437] (-572.196) * (-566.286) (-576.509) (-572.434) [-536.829] -- 0:10:41
245000 -- (-563.619) (-563.942) [-542.857] (-569.762) * (-570.668) (-583.755) (-573.199) [-537.837] -- 0:10:40
Average standard deviation of split frequencies: 0.031366
246000 -- (-561.608) (-563.586) [-540.458] (-567.701) * (-579.456) (-587.264) (-573.873) [-532.183] -- 0:10:40
247000 -- (-566.456) (-566.480) [-538.993] (-577.083) * (-578.264) (-590.818) (-577.086) [-540.052] -- 0:10:40
248000 -- (-564.257) (-573.091) [-539.976] (-575.089) * (-573.597) (-591.276) (-578.760) [-543.094] -- 0:10:39
249000 -- (-564.100) (-575.795) [-548.755] (-571.048) * (-576.178) (-579.172) (-585.030) [-533.798] -- 0:10:39
250000 -- (-567.360) (-572.912) [-545.674] (-564.634) * (-578.735) (-582.638) (-577.610) [-531.547] -- 0:10:39
Average standard deviation of split frequencies: 0.030585
251000 -- (-555.795) (-567.317) [-537.893] (-562.721) * (-588.164) (-576.333) (-584.024) [-533.547] -- 0:10:35
252000 -- (-567.374) (-557.479) [-536.060] (-572.493) * (-582.148) (-562.750) (-577.747) [-536.972] -- 0:10:35
253000 -- (-559.661) (-567.967) [-541.698] (-565.446) * (-585.941) (-567.169) (-584.623) [-535.254] -- 0:10:34
254000 -- (-561.442) (-563.197) [-540.348] (-560.722) * (-578.098) (-569.661) (-581.719) [-541.111] -- 0:10:34
255000 -- (-559.969) (-556.969) [-540.562] (-557.889) * (-583.623) (-559.540) (-577.925) [-537.556] -- 0:10:33
Average standard deviation of split frequencies: 0.030529
256000 -- (-569.937) (-564.331) [-536.697] (-564.315) * (-572.027) (-555.431) (-575.445) [-539.880] -- 0:10:33
257000 -- (-578.972) (-566.939) [-542.792] (-563.492) * (-576.240) (-562.177) (-581.125) [-551.075] -- 0:10:33
258000 -- (-563.050) (-563.613) [-542.159] (-575.542) * (-565.350) (-576.992) (-577.532) [-537.202] -- 0:10:29
259000 -- (-579.772) (-560.582) [-550.581] (-580.794) * (-558.239) (-564.268) (-583.451) [-532.014] -- 0:10:29
260000 -- (-578.508) (-560.135) [-547.730] (-568.212) * (-572.002) (-563.395) (-587.380) [-534.698] -- 0:10:29
Average standard deviation of split frequencies: 0.031600
261000 -- (-558.005) (-558.329) [-544.416] (-571.738) * (-572.203) (-561.328) (-575.370) [-533.929] -- 0:10:28
262000 -- (-566.274) (-560.433) [-540.854] (-572.271) * (-581.086) (-560.363) (-572.533) [-545.190] -- 0:10:28
263000 -- (-568.023) (-558.798) [-548.856] (-559.687) * (-571.637) (-571.423) (-568.028) [-540.911] -- 0:10:27
264000 -- (-564.338) (-564.030) [-543.737] (-573.124) * (-566.102) (-570.646) (-576.356) [-539.786] -- 0:10:27
265000 -- (-558.935) (-562.509) [-537.391] (-571.964) * (-564.282) (-575.127) (-578.712) [-539.802] -- 0:10:24
Average standard deviation of split frequencies: 0.032179
266000 -- (-554.633) (-577.794) [-541.718] (-559.368) * (-564.057) (-573.794) (-578.113) [-533.750] -- 0:10:23
267000 -- (-564.092) (-581.212) [-544.143] (-579.314) * (-564.166) (-573.644) (-572.816) [-535.273] -- 0:10:23
268000 -- (-563.590) (-582.959) [-544.126] (-582.124) * (-560.455) (-574.979) (-562.879) [-533.175] -- 0:10:22
269000 -- (-560.529) (-579.694) [-543.053] (-561.801) * (-559.864) (-562.934) (-562.603) [-533.234] -- 0:10:22
270000 -- (-558.811) (-588.702) [-543.881] (-570.129) * (-559.772) (-571.890) (-566.251) [-539.086] -- 0:10:21
Average standard deviation of split frequencies: 0.031441
271000 -- (-566.115) (-578.128) [-548.525] (-573.662) * (-563.029) (-571.171) (-567.003) [-538.966] -- 0:10:18
272000 -- (-569.620) (-573.605) [-546.438] (-578.009) * (-568.592) (-567.799) (-565.541) [-534.910] -- 0:10:18
273000 -- (-572.839) (-579.787) [-552.463] (-574.083) * (-572.928) (-572.641) (-567.563) [-534.586] -- 0:10:17
274000 -- (-569.358) (-552.870) [-553.421] (-577.559) * (-559.415) (-566.920) (-561.820) [-534.768] -- 0:10:17
275000 -- (-569.180) (-555.210) [-547.667] (-572.109) * (-556.583) (-580.146) (-571.361) [-538.340] -- 0:10:16
Average standard deviation of split frequencies: 0.031553
276000 -- (-563.706) (-563.297) [-538.782] (-577.582) * (-560.795) (-572.486) (-571.192) [-534.465] -- 0:10:16
277000 -- (-579.165) (-555.081) [-535.001] (-569.691) * (-556.103) (-571.502) (-577.292) [-533.421] -- 0:10:15
278000 -- (-573.525) (-564.882) [-539.252] (-568.408) * (-557.184) (-569.960) (-567.402) [-540.675] -- 0:10:12
279000 -- (-572.384) (-558.560) [-539.272] (-560.324) * (-551.498) (-579.915) (-580.560) [-542.228] -- 0:10:12
280000 -- (-579.060) (-562.670) [-541.905] (-550.516) * (-557.071) (-569.760) (-575.148) [-544.683] -- 0:10:12
Average standard deviation of split frequencies: 0.031382
281000 -- (-580.195) (-567.631) [-541.336] (-554.053) * (-553.383) (-565.306) (-574.520) [-538.825] -- 0:10:11
282000 -- (-588.790) (-569.700) [-539.996] (-564.060) * (-555.313) (-576.758) (-582.281) [-542.207] -- 0:10:11
283000 -- (-590.101) (-564.736) [-537.042] (-559.702) * (-557.450) (-569.202) (-579.568) [-542.091] -- 0:10:10
284000 -- (-585.606) (-565.413) [-533.561] (-554.508) * (-570.688) (-567.959) (-584.112) [-537.446] -- 0:10:07
285000 -- (-582.430) (-571.118) [-532.194] (-553.632) * (-556.946) (-572.984) (-587.531) [-542.293] -- 0:10:07
Average standard deviation of split frequencies: 0.031751
286000 -- (-580.685) (-568.227) [-531.773] (-556.670) * (-554.873) (-577.970) (-580.198) [-544.643] -- 0:10:06
287000 -- (-579.547) (-554.089) [-540.741] (-559.352) * (-564.409) (-572.849) (-577.409) [-539.175] -- 0:10:06
288000 -- (-568.500) (-564.019) [-533.601] (-559.447) * (-562.474) (-571.223) (-582.160) [-537.099] -- 0:10:05
289000 -- (-575.725) (-556.227) [-533.274] (-563.822) * (-585.342) (-578.361) (-577.705) [-534.542] -- 0:10:05
290000 -- (-566.215) (-553.294) [-539.230] (-559.041) * (-565.185) (-573.207) (-589.884) [-543.029] -- 0:10:02
Average standard deviation of split frequencies: 0.031070
291000 -- (-565.239) (-567.072) [-539.335] (-560.333) * (-571.952) (-571.278) (-599.487) [-539.432] -- 0:10:01
292000 -- (-567.389) (-558.482) [-537.457] (-574.359) * (-560.508) (-574.608) (-598.384) [-538.527] -- 0:10:01
293000 -- (-565.497) (-556.494) [-539.483] (-576.765) * (-564.971) (-573.604) (-592.007) [-544.396] -- 0:10:00
294000 -- (-564.673) (-569.189) [-540.234] (-570.177) * (-579.123) (-581.165) (-575.350) [-542.662] -- 0:10:00
295000 -- (-566.658) (-563.195) [-529.086] (-577.977) * (-584.858) (-572.592) (-569.736) [-541.175] -- 0:09:59
Average standard deviation of split frequencies: 0.030343
296000 -- (-563.486) (-560.950) [-532.869] (-574.166) * (-585.548) (-565.203) (-575.334) [-539.843] -- 0:09:59
297000 -- (-562.592) (-574.512) [-533.126] (-570.465) * (-577.750) (-574.311) (-585.072) [-545.291] -- 0:09:56
298000 -- (-572.295) (-561.914) [-538.652] (-564.487) * (-586.161) (-569.202) (-580.597) [-542.152] -- 0:09:55
299000 -- (-573.333) (-552.226) [-539.277] (-564.871) * (-572.624) (-571.611) (-588.557) [-540.458] -- 0:09:55
300000 -- (-567.196) (-559.675) [-539.836] (-559.653) * (-562.451) (-575.510) (-580.115) [-541.160] -- 0:09:55
Average standard deviation of split frequencies: 0.030615
301000 -- (-569.840) (-554.921) [-536.184] (-568.986) * (-568.933) (-567.558) (-571.743) [-539.134] -- 0:09:54
302000 -- (-575.522) (-560.065) [-540.019] (-556.446) * (-570.094) (-584.274) (-566.630) [-540.001] -- 0:09:53
303000 -- (-576.835) (-560.509) [-535.353] (-556.485) * (-564.133) (-574.276) (-565.797) [-538.912] -- 0:09:51
304000 -- (-570.708) (-561.466) [-533.547] (-559.895) * (-563.034) (-573.233) (-569.830) [-541.013] -- 0:09:50
305000 -- (-576.978) (-559.747) [-544.853] (-557.136) * (-576.296) (-577.893) (-564.453) [-528.980] -- 0:09:50
Average standard deviation of split frequencies: 0.029513
306000 -- (-582.565) (-568.471) [-537.405] (-557.340) * (-569.835) (-579.745) (-570.994) [-527.418] -- 0:09:49
307000 -- (-589.399) (-563.848) [-542.369] (-557.030) * (-570.902) (-579.483) (-568.988) [-529.447] -- 0:09:49
308000 -- (-565.003) (-572.925) [-544.379] (-555.243) * (-567.816) (-575.133) (-571.991) [-534.293] -- 0:09:48
309000 -- (-576.364) (-569.818) [-534.893] (-564.492) * (-563.560) (-568.515) (-565.194) [-536.194] -- 0:09:45
310000 -- (-573.620) (-554.474) [-541.198] (-574.150) * (-559.686) (-572.288) (-572.264) [-534.966] -- 0:09:45
Average standard deviation of split frequencies: 0.028271
311000 -- (-584.657) (-555.588) [-537.985] (-578.645) * (-565.175) (-580.867) (-585.362) [-537.036] -- 0:09:44
312000 -- (-570.260) (-559.494) [-536.280] (-578.905) * (-559.252) (-577.644) (-576.500) [-534.911] -- 0:09:44
313000 -- (-571.725) (-554.693) [-536.593] (-555.790) * (-563.327) (-571.861) (-572.490) [-550.183] -- 0:09:43
314000 -- (-573.559) (-563.858) [-536.518] (-559.629) * (-577.234) (-566.293) (-570.144) [-546.196] -- 0:09:43
315000 -- (-587.615) (-574.905) [-544.431] (-556.647) * (-581.753) (-578.228) (-572.977) [-537.690] -- 0:09:42
Average standard deviation of split frequencies: 0.026303
316000 -- (-583.066) (-570.899) [-537.275] (-557.453) * (-569.245) (-576.524) (-577.961) [-530.325] -- 0:09:42
317000 -- (-562.284) (-576.467) [-533.409] (-555.052) * (-577.324) (-565.275) (-589.107) [-535.474] -- 0:09:39
318000 -- (-562.023) (-576.663) [-541.363] (-569.200) * (-572.706) (-564.016) (-575.913) [-538.671] -- 0:09:39
319000 -- (-572.135) (-575.987) [-537.131] (-563.245) * (-574.313) (-572.252) (-570.434) [-534.413] -- 0:09:38
320000 -- (-568.390) (-575.948) [-543.206] (-566.665) * (-572.194) (-575.172) (-571.391) [-530.638] -- 0:09:38
Average standard deviation of split frequencies: 0.025069
321000 -- (-578.148) (-573.107) [-542.712] (-560.453) * (-567.037) (-576.085) (-566.534) [-539.763] -- 0:09:37
322000 -- (-569.735) (-574.412) [-535.602] (-574.287) * (-562.595) (-560.988) (-569.000) [-535.823] -- 0:09:36
323000 -- (-570.056) (-580.268) [-535.603] (-581.598) * (-573.014) (-567.056) (-568.283) [-548.050] -- 0:09:36
324000 -- (-566.923) (-569.553) [-537.157] (-588.611) * (-571.319) (-564.482) (-566.879) [-543.261] -- 0:09:33
325000 -- (-570.562) (-569.921) [-539.135] (-583.152) * (-569.010) (-567.931) (-563.531) [-539.384] -- 0:09:33
Average standard deviation of split frequencies: 0.024582
326000 -- (-587.124) (-562.989) [-537.642] (-567.161) * (-572.820) (-562.517) (-577.331) [-537.262] -- 0:09:32
327000 -- (-580.496) (-562.309) [-536.903] (-568.268) * (-570.072) (-562.108) (-580.255) [-536.121] -- 0:09:32
328000 -- (-584.504) (-569.691) [-536.906] (-573.067) * (-571.313) (-560.491) (-577.973) [-536.461] -- 0:09:31
329000 -- (-578.306) (-564.975) [-540.411] (-570.930) * (-569.955) (-568.399) (-573.569) [-536.275] -- 0:09:31
330000 -- (-567.600) (-567.075) [-537.098] (-561.381) * (-566.122) (-572.431) (-570.575) [-541.436] -- 0:09:28
Average standard deviation of split frequencies: 0.023935
331000 -- (-565.402) (-558.950) [-539.984] (-573.337) * (-572.495) (-571.804) (-569.194) [-548.010] -- 0:09:27
332000 -- (-560.287) (-560.817) [-540.300] (-572.401) * (-568.657) (-568.912) (-563.884) [-537.154] -- 0:09:27
333000 -- (-564.760) (-560.730) [-544.708] (-561.014) * (-561.711) (-570.841) (-566.576) [-538.621] -- 0:09:26
334000 -- (-568.262) (-562.666) [-542.584] (-552.875) * (-556.584) (-570.128) (-562.872) [-539.136] -- 0:09:26
335000 -- (-571.196) (-558.629) [-542.309] (-552.549) * (-555.673) (-563.310) (-568.657) [-543.504] -- 0:09:25
Average standard deviation of split frequencies: 0.023334
336000 -- (-569.022) (-556.524) [-539.941] (-559.086) * (-566.016) (-567.505) (-576.935) [-541.414] -- 0:09:25
337000 -- (-580.550) (-561.100) [-545.443] (-569.400) * (-566.589) (-563.014) (-581.112) [-543.484] -- 0:09:24
338000 -- (-566.965) (-557.946) [-537.854] (-565.332) * (-570.149) (-567.486) (-574.334) [-541.702] -- 0:09:24
339000 -- (-560.363) (-563.269) [-541.157] (-570.380) * (-578.535) (-572.584) (-578.154) [-541.476] -- 0:09:21
340000 -- (-560.640) (-567.087) [-537.457] (-567.200) * (-570.427) (-569.847) (-588.593) [-540.463] -- 0:09:21
Average standard deviation of split frequencies: 0.023524
341000 -- (-566.077) (-566.914) [-547.789] (-557.163) * (-570.536) (-575.759) (-578.769) [-548.929] -- 0:09:20
342000 -- (-564.242) (-564.229) [-532.913] (-567.778) * (-567.065) (-575.032) (-574.341) [-537.481] -- 0:09:19
343000 -- (-570.007) (-568.383) [-528.813] (-568.703) * (-564.063) (-575.853) (-570.116) [-547.078] -- 0:09:19
344000 -- (-566.861) (-573.607) [-531.580] (-560.608) * (-571.017) (-571.300) (-575.727) [-544.537] -- 0:09:18
345000 -- (-573.265) (-570.429) [-533.624] (-564.455) * (-565.453) (-572.555) (-569.471) [-540.101] -- 0:09:18
Average standard deviation of split frequencies: 0.022875
346000 -- (-564.072) (-563.697) [-533.397] (-564.406) * (-574.736) (-574.863) (-568.032) [-540.963] -- 0:09:17
347000 -- (-573.165) (-564.620) [-527.758] (-561.061) * (-571.614) (-567.114) (-564.697) [-545.454] -- 0:09:15
348000 -- (-569.273) (-572.954) [-535.582] (-573.943) * (-572.664) (-583.817) (-578.745) [-546.201] -- 0:09:14
349000 -- (-560.870) (-578.079) [-543.007] (-566.025) * (-566.414) (-572.654) (-572.865) [-538.139] -- 0:09:14
350000 -- (-572.354) (-582.436) [-547.697] (-561.225) * (-566.495) (-578.303) (-563.094) [-536.396] -- 0:09:13
Average standard deviation of split frequencies: 0.023974
351000 -- (-575.905) (-587.277) [-548.983] (-546.765) * (-566.263) (-569.838) (-580.945) [-535.913] -- 0:09:12
352000 -- (-579.612) (-588.883) [-548.608] (-550.984) * (-572.869) (-576.004) (-577.860) [-533.869] -- 0:09:12
353000 -- (-591.600) (-589.319) [-538.793] (-550.793) * (-568.910) (-574.713) (-578.224) [-536.457] -- 0:09:11
354000 -- (-607.146) (-593.424) [-535.397] (-565.674) * (-572.645) (-566.971) (-578.692) [-538.061] -- 0:09:09
355000 -- (-610.112) (-585.087) [-538.634] (-565.463) * (-573.351) (-579.996) (-576.013) [-537.043] -- 0:09:08
Average standard deviation of split frequencies: 0.024571
356000 -- (-611.057) (-574.606) [-537.481] (-551.778) * (-573.529) (-582.481) (-573.438) [-535.434] -- 0:09:08
357000 -- (-596.963) (-579.586) [-531.289] (-554.330) * (-556.777) (-577.300) (-575.731) [-549.350] -- 0:09:07
358000 -- (-593.571) (-580.401) [-542.419] (-547.670) * (-561.845) (-567.386) (-573.020) [-547.989] -- 0:09:06
359000 -- (-582.097) (-574.233) [-534.193] (-548.085) * (-561.600) (-570.105) (-570.339) [-546.268] -- 0:09:06
360000 -- (-581.280) (-576.277) [-537.009] (-551.053) * (-569.583) (-562.209) (-580.023) [-557.045] -- 0:09:04
Average standard deviation of split frequencies: 0.024253
361000 -- (-591.908) (-583.872) [-539.510] (-558.052) * (-566.700) (-567.407) (-571.813) [-544.861] -- 0:09:03
362000 -- (-585.817) (-574.495) [-532.563] (-555.517) * (-569.392) (-581.691) (-572.018) [-548.407] -- 0:09:02
363000 -- (-584.072) (-571.056) [-533.855] (-561.593) * (-581.516) (-579.888) (-562.287) [-541.054] -- 0:09:02
364000 -- (-593.181) (-552.140) [-535.090] (-562.853) * (-563.272) (-576.414) (-563.013) [-538.313] -- 0:09:01
365000 -- (-581.081) (-561.335) [-528.272] (-558.485) * (-560.479) (-563.990) (-566.108) [-533.650] -- 0:09:01
Average standard deviation of split frequencies: 0.024472
366000 -- (-584.717) (-568.072) [-537.130] (-564.357) * (-566.617) (-582.037) (-570.684) [-531.409] -- 0:08:58
367000 -- (-582.775) (-563.465) [-537.555] (-563.602) * (-559.457) (-574.833) (-562.805) [-529.856] -- 0:08:58
368000 -- (-574.303) (-573.811) [-537.490] (-577.944) * (-563.747) (-570.350) (-567.977) [-539.766] -- 0:08:57
369000 -- (-583.046) (-556.020) [-541.612] (-572.674) * (-560.857) (-569.143) (-571.558) [-535.785] -- 0:08:56
370000 -- (-576.800) (-565.859) [-546.447] (-573.649) * (-563.746) (-574.499) (-568.445) [-538.663] -- 0:08:56
Average standard deviation of split frequencies: 0.024376
371000 -- (-590.667) (-553.684) [-538.499] (-573.453) * (-565.057) (-576.435) (-566.830) [-541.759] -- 0:08:55
372000 -- (-575.628) (-559.074) [-534.284] (-573.377) * (-563.813) (-569.081) (-580.331) [-538.625] -- 0:08:55
373000 -- (-571.688) (-553.679) [-542.762] (-570.360) * (-562.573) (-570.042) (-582.320) [-539.945] -- 0:08:52
374000 -- (-580.602) (-558.393) [-539.193] (-569.117) * (-559.437) (-571.432) (-582.118) [-537.068] -- 0:08:52
375000 -- (-585.868) (-561.343) [-541.020] (-564.903) * (-571.120) (-574.073) (-584.704) [-533.143] -- 0:08:51
Average standard deviation of split frequencies: 0.022915
376000 -- (-583.218) (-560.397) [-540.455] (-564.979) * (-561.386) (-572.485) (-584.026) [-533.266] -- 0:08:51
377000 -- (-572.630) (-560.084) [-538.590] (-561.846) * (-569.696) (-568.736) (-584.655) [-535.218] -- 0:08:50
378000 -- (-572.061) (-558.230) [-534.753] (-559.380) * (-563.685) (-568.852) (-605.315) [-544.972] -- 0:08:49
379000 -- (-565.286) (-565.386) [-546.253] (-561.607) * (-555.061) (-566.186) (-592.397) [-536.397] -- 0:08:47
380000 -- (-562.357) (-558.523) [-545.755] (-563.421) * (-559.970) (-564.519) (-577.890) [-537.785] -- 0:08:47
Average standard deviation of split frequencies: 0.022841
381000 -- (-566.362) (-556.633) [-542.371] (-565.909) * (-556.045) (-570.494) (-566.468) [-538.348] -- 0:08:46
382000 -- (-568.218) (-558.746) [-545.474] (-567.890) * (-551.469) (-562.952) (-564.896) [-543.691] -- 0:08:45
383000 -- (-574.662) (-559.204) [-543.733] (-572.846) * (-558.970) (-568.873) (-568.141) [-535.052] -- 0:08:45
384000 -- (-566.405) (-560.364) [-540.168] (-572.267) * (-554.484) (-569.884) (-559.592) [-538.865] -- 0:08:44
385000 -- (-563.290) (-566.505) [-542.722] (-565.572) * (-554.767) (-572.016) (-574.512) [-536.432] -- 0:08:42
Average standard deviation of split frequencies: 0.021033
386000 -- (-566.789) (-561.299) [-546.307] (-567.791) * (-551.853) (-569.373) (-556.747) [-539.017] -- 0:08:41
387000 -- (-571.680) (-584.527) [-538.970] (-565.500) * (-561.333) (-570.690) (-567.289) [-553.985] -- 0:08:41
388000 -- (-566.050) (-574.914) [-536.014] (-567.494) * (-562.825) (-577.568) (-561.157) [-556.632] -- 0:08:40
389000 -- (-566.213) (-564.850) [-539.091] (-562.514) * (-562.649) (-575.418) (-566.510) [-542.850] -- 0:08:39
390000 -- (-559.473) (-562.824) [-536.456] (-563.345) * (-568.031) (-574.866) (-574.577) [-541.308] -- 0:08:39
Average standard deviation of split frequencies: 0.019370
391000 -- (-562.431) (-570.777) [-534.930] (-562.860) * (-572.950) (-571.699) (-572.980) [-537.492] -- 0:08:37
392000 -- (-565.492) (-566.741) [-540.259] (-563.499) * (-566.729) (-578.252) (-572.404) [-544.665] -- 0:08:36
393000 -- (-567.576) (-573.937) [-535.567] (-574.957) * (-575.193) (-576.217) (-564.962) [-533.089] -- 0:08:35
394000 -- (-563.216) (-572.110) [-538.838] (-564.558) * (-570.453) (-582.368) (-567.478) [-533.582] -- 0:08:35
395000 -- (-567.298) (-565.870) [-540.214] (-569.805) * (-564.194) (-576.026) (-566.336) [-537.645] -- 0:08:34
Average standard deviation of split frequencies: 0.019485
396000 -- (-569.504) (-559.755) [-537.933] (-558.933) * (-560.326) (-562.871) (-576.227) [-538.137] -- 0:08:34
397000 -- (-574.954) (-574.404) [-538.231] (-556.538) * (-570.020) (-569.951) (-579.048) [-540.422] -- 0:08:33
398000 -- (-565.888) (-576.059) [-537.993] (-561.085) * (-573.150) (-572.826) (-578.041) [-545.775] -- 0:08:31
399000 -- (-557.050) (-574.471) [-538.025] (-560.759) * (-564.322) (-583.175) (-584.577) [-544.232] -- 0:08:30
400000 -- (-558.917) (-569.189) [-539.170] (-561.053) * (-564.576) (-566.547) (-564.036) [-547.417] -- 0:08:30
Average standard deviation of split frequencies: 0.020930
401000 -- (-562.023) (-570.613) [-538.794] (-571.913) * (-573.544) (-572.611) (-563.932) [-543.724] -- 0:08:29
402000 -- (-563.063) (-569.267) [-544.616] (-571.542) * (-575.522) (-566.276) (-565.449) [-539.277] -- 0:08:28
403000 -- (-569.985) (-573.726) [-550.647] (-572.928) * (-568.291) (-564.090) (-570.462) [-537.262] -- 0:08:28
404000 -- (-567.150) (-579.365) [-546.464] (-575.238) * (-553.902) (-566.433) (-573.683) [-533.517] -- 0:08:27
405000 -- (-564.833) (-570.748) [-548.151] (-560.116) * (-555.897) (-578.079) (-567.220) [-533.905] -- 0:08:25
Average standard deviation of split frequencies: 0.020777
406000 -- (-561.814) (-562.664) [-547.700] (-563.836) * (-550.761) (-587.015) (-568.516) [-535.256] -- 0:08:24
407000 -- (-563.712) (-570.986) [-551.956] (-568.611) * (-560.108) (-575.809) (-576.358) [-529.304] -- 0:08:24
408000 -- (-560.542) (-580.502) [-546.901] (-574.881) * (-572.982) (-583.140) (-573.857) [-538.581] -- 0:08:23
409000 -- (-565.200) (-573.332) [-544.841] (-583.104) * (-565.272) (-578.059) (-567.051) [-545.077] -- 0:08:22
410000 -- (-573.511) (-575.140) [-545.894] (-573.455) * (-564.343) (-577.446) (-569.877) [-546.087] -- 0:08:22
Average standard deviation of split frequencies: 0.019393
411000 -- (-573.947) (-569.968) [-542.786] (-563.049) * (-563.131) (-576.914) (-566.888) [-539.769] -- 0:08:21
412000 -- (-568.016) (-570.240) [-535.554] (-568.208) * (-565.484) (-594.104) (-565.130) [-548.342] -- 0:08:19
413000 -- (-568.809) (-575.756) [-535.359] (-564.683) * (-562.044) (-599.603) (-576.218) [-542.027] -- 0:08:18
414000 -- (-559.349) (-559.486) [-540.084] (-556.724) * (-570.478) (-601.098) (-573.933) [-539.864] -- 0:08:18
415000 -- (-575.446) (-556.772) [-537.731] (-552.494) * (-561.317) (-574.371) (-578.941) [-538.028] -- 0:08:17
Average standard deviation of split frequencies: 0.018608
416000 -- (-567.514) (-572.501) [-535.514] (-560.443) * (-561.976) (-578.082) (-583.949) [-543.435] -- 0:08:16
417000 -- (-568.021) (-577.280) [-537.758] (-563.701) * (-560.814) (-579.719) (-583.662) [-539.250] -- 0:08:16
418000 -- (-564.707) (-579.917) [-538.466] (-562.057) * (-558.759) (-581.400) (-587.163) [-545.914] -- 0:08:15
419000 -- (-558.821) (-579.441) [-540.632] (-562.695) * (-563.358) (-578.267) (-573.700) [-545.272] -- 0:08:15
420000 -- (-562.846) (-563.288) [-540.365] (-563.239) * (-558.100) (-564.413) (-575.009) [-550.711] -- 0:08:14
Average standard deviation of split frequencies: 0.017989
421000 -- (-564.040) (-568.240) [-544.607] (-573.469) * (-569.126) (-571.833) (-577.127) [-541.659] -- 0:08:12
422000 -- (-558.068) (-579.103) [-540.881] (-571.912) * (-569.509) (-571.083) (-571.488) [-545.078] -- 0:08:11
423000 -- (-558.136) (-581.240) [-558.508] (-561.044) * (-562.703) (-566.506) (-565.947) [-533.859] -- 0:08:11
424000 -- (-558.478) (-575.240) [-537.703] (-568.527) * (-575.512) (-568.436) (-577.969) [-535.221] -- 0:08:10
425000 -- (-551.835) (-571.256) [-540.693] (-584.150) * (-570.569) (-569.880) (-572.751) [-543.007] -- 0:08:09
Average standard deviation of split frequencies: 0.018113
426000 -- (-555.675) (-571.200) [-533.129] (-575.388) * (-581.638) (-564.900) (-578.484) [-536.914] -- 0:08:09
427000 -- (-561.033) (-564.602) [-537.659] (-569.357) * (-594.441) (-576.507) (-567.628) [-544.441] -- 0:08:08
428000 -- (-552.465) (-556.966) [-542.797] (-564.624) * (-583.439) (-570.884) (-564.897) [-543.793] -- 0:08:06
429000 -- (-564.088) (-561.239) [-532.744] (-564.006) * (-580.294) (-570.551) (-575.784) [-540.527] -- 0:08:05
430000 -- (-566.060) (-574.941) [-547.410] (-566.699) * (-599.478) (-572.141) (-572.760) [-544.009] -- 0:08:05
Average standard deviation of split frequencies: 0.018781
431000 -- (-566.938) (-578.914) [-548.585] (-579.711) * (-608.465) (-568.945) (-577.866) [-539.159] -- 0:08:04
432000 -- (-562.083) (-565.075) [-544.630] (-572.361) * (-595.391) (-561.220) (-572.116) [-539.563] -- 0:08:03
433000 -- (-563.097) (-565.190) [-542.022] (-568.705) * (-591.372) (-561.355) (-573.173) [-544.044] -- 0:08:03
434000 -- (-569.058) (-556.499) [-547.905] (-567.488) * (-572.356) (-564.498) (-565.938) [-544.032] -- 0:08:02
435000 -- (-557.851) (-561.337) [-540.319] (-575.782) * (-564.064) (-560.193) (-570.198) [-537.936] -- 0:08:00
Average standard deviation of split frequencies: 0.018893
436000 -- (-571.658) (-570.333) [-542.679] (-579.026) * (-564.083) (-571.517) (-562.582) [-533.489] -- 0:07:59
437000 -- (-566.108) (-572.405) [-536.357] (-580.548) * (-569.805) (-567.661) (-573.484) [-535.265] -- 0:07:59
438000 -- (-571.811) (-563.462) [-544.907] (-586.793) * (-572.023) (-564.438) (-580.854) [-541.015] -- 0:07:58
439000 -- (-567.798) (-565.016) [-541.575] (-570.906) * (-567.044) (-561.785) (-578.155) [-539.258] -- 0:07:57
440000 -- (-559.045) (-575.128) [-545.394] (-566.081) * (-572.013) (-565.896) (-579.391) [-536.112] -- 0:07:57
Average standard deviation of split frequencies: 0.019593
441000 -- (-565.694) (-568.890) [-538.708] (-571.145) * (-561.847) (-566.574) (-577.139) [-535.789] -- 0:07:56
442000 -- (-568.536) (-564.108) [-547.193] (-575.643) * (-566.410) (-566.012) (-579.689) [-527.784] -- 0:07:54
443000 -- (-567.282) (-562.361) [-559.747] (-561.348) * (-555.190) (-576.369) (-580.118) [-538.666] -- 0:07:54
444000 -- (-572.747) (-570.095) [-548.727] (-565.538) * (-555.498) (-570.540) (-573.277) [-537.347] -- 0:07:53
445000 -- (-567.549) (-575.594) [-539.232] (-564.647) * (-562.702) (-581.534) (-577.741) [-536.419] -- 0:07:52
Average standard deviation of split frequencies: 0.019971
446000 -- (-566.418) (-563.896) [-532.074] (-561.048) * (-571.723) (-563.588) (-580.473) [-547.702] -- 0:07:52
447000 -- (-571.487) (-572.638) [-535.848] (-563.898) * (-561.657) (-577.954) (-563.406) [-554.898] -- 0:07:51
448000 -- (-563.438) (-560.051) [-537.968] (-562.500) * (-561.793) (-579.190) (-568.192) [-534.341] -- 0:07:50
449000 -- (-577.695) (-560.853) [-538.706] (-564.640) * (-569.058) (-566.936) (-575.371) [-532.666] -- 0:07:48
450000 -- (-571.818) (-574.387) [-532.346] (-563.589) * (-573.358) (-579.316) (-580.765) [-535.299] -- 0:07:48
Average standard deviation of split frequencies: 0.019599
451000 -- (-564.065) (-573.891) [-539.631] (-573.309) * (-568.552) (-566.520) (-581.176) [-538.631] -- 0:07:47
452000 -- (-568.989) (-572.670) [-538.954] (-560.888) * (-567.142) (-571.968) (-579.462) [-546.254] -- 0:07:46
453000 -- (-574.364) (-559.290) [-540.288] (-557.765) * (-565.555) (-573.160) (-577.512) [-538.361] -- 0:07:46
454000 -- (-569.669) (-582.891) [-536.690] (-556.711) * (-560.596) (-565.494) (-583.854) [-543.618] -- 0:07:45
455000 -- (-566.383) (-573.379) [-536.978] (-565.923) * (-567.944) (-573.152) (-575.694) [-537.037] -- 0:07:43
Average standard deviation of split frequencies: 0.019751
456000 -- (-568.342) (-569.147) [-542.227] (-563.068) * (-561.903) (-574.978) (-591.150) [-533.150] -- 0:07:42
457000 -- (-562.628) (-559.034) [-540.672] (-570.121) * (-565.178) (-576.220) (-576.184) [-541.601] -- 0:07:42
458000 -- (-567.356) (-554.258) [-535.977] (-570.277) * (-566.022) (-586.494) (-590.111) [-540.750] -- 0:07:41
459000 -- (-578.947) (-560.728) [-533.050] (-566.465) * (-565.023) (-584.846) (-590.431) [-541.301] -- 0:07:40
460000 -- (-577.833) (-566.961) [-533.836] (-559.806) * (-560.596) (-583.101) (-571.779) [-543.673] -- 0:07:40
Average standard deviation of split frequencies: 0.020251
461000 -- (-571.241) (-566.056) [-541.938] (-561.062) * (-555.542) (-574.939) (-572.951) [-538.740] -- 0:07:38
462000 -- (-562.400) (-571.007) [-544.955] (-572.477) * (-560.021) (-575.307) (-570.766) [-537.760] -- 0:07:37
463000 -- (-568.522) (-564.377) [-543.657] (-570.733) * (-562.793) (-571.826) (-569.765) [-538.301] -- 0:07:36
464000 -- (-575.116) (-560.177) [-538.956] (-580.200) * (-563.454) (-569.457) (-576.335) [-534.453] -- 0:07:36
465000 -- (-560.069) (-558.099) [-535.620] (-577.060) * (-574.635) (-562.912) (-584.064) [-537.355] -- 0:07:35
Average standard deviation of split frequencies: 0.020285
466000 -- (-559.973) (-560.598) [-539.280] (-566.191) * (-570.137) (-564.110) (-586.592) [-536.319] -- 0:07:34
467000 -- (-564.997) (-563.527) [-544.158] (-563.821) * (-550.628) (-560.719) (-586.723) [-538.082] -- 0:07:34
468000 -- (-569.116) (-563.730) [-537.794] (-565.519) * (-562.409) (-561.683) (-587.296) [-545.620] -- 0:07:32
469000 -- (-568.973) (-569.766) [-540.966] (-573.267) * (-567.643) (-564.250) (-588.314) [-537.003] -- 0:07:31
470000 -- (-571.545) (-567.822) [-532.792] (-575.513) * (-567.037) (-559.507) (-583.730) [-536.154] -- 0:07:31
Average standard deviation of split frequencies: 0.019451
471000 -- (-580.398) (-562.228) [-539.294] (-580.755) * (-567.353) (-562.169) (-582.677) [-537.480] -- 0:07:30
472000 -- (-591.330) (-565.676) [-544.675] (-570.903) * (-564.421) (-572.209) (-580.022) [-537.160] -- 0:07:29
473000 -- (-598.023) (-571.743) [-542.115] (-575.315) * (-564.791) (-568.965) (-582.759) [-535.809] -- 0:07:29
474000 -- (-582.906) (-565.198) [-539.674] (-579.671) * (-563.805) (-570.632) (-588.581) [-544.490] -- 0:07:27
475000 -- (-566.385) (-578.967) [-539.339] (-586.604) * (-566.536) (-564.702) (-586.681) [-542.885] -- 0:07:26
Average standard deviation of split frequencies: 0.018556
476000 -- (-567.085) (-579.880) [-541.879] (-570.353) * (-565.649) (-568.794) (-588.140) [-543.237] -- 0:07:25
477000 -- (-569.166) (-570.344) [-539.974] (-578.813) * (-562.371) (-565.519) (-573.819) [-550.774] -- 0:07:25
478000 -- (-567.505) (-567.326) [-537.627] (-577.600) * (-560.109) (-578.637) (-585.123) [-553.126] -- 0:07:24
479000 -- (-567.099) (-574.153) [-534.816] (-579.070) * (-565.737) (-577.492) (-577.070) [-553.742] -- 0:07:23
480000 -- (-556.612) (-568.773) [-537.183] (-573.456) * (-570.076) (-581.272) (-565.433) [-549.274] -- 0:07:22
Average standard deviation of split frequencies: 0.017602
481000 -- (-574.090) (-569.552) [-533.612] (-570.368) * (-559.810) (-573.535) (-575.913) [-548.573] -- 0:07:21
482000 -- (-582.868) (-586.904) [-540.698] (-574.955) * (-561.223) (-577.894) (-579.721) [-548.543] -- 0:07:20
483000 -- (-580.217) (-579.898) [-539.095] (-568.525) * (-559.064) (-570.757) (-581.256) [-540.572] -- 0:07:19
484000 -- (-566.043) (-561.739) [-541.842] (-561.782) * (-561.753) (-557.782) (-568.026) [-546.330] -- 0:07:19
485000 -- (-571.834) (-560.257) [-536.816] (-564.044) * (-555.386) (-567.470) (-579.916) [-546.030] -- 0:07:18
Average standard deviation of split frequencies: 0.018021
486000 -- (-575.224) (-571.268) [-539.461] (-553.230) * (-554.809) (-563.308) (-564.664) [-550.467] -- 0:07:17
487000 -- (-576.324) (-575.819) [-541.443] (-568.082) * (-562.618) (-562.779) (-576.198) [-545.348] -- 0:07:17
488000 -- (-567.413) (-578.103) [-542.407] (-579.350) * (-588.205) (-562.023) (-578.893) [-542.444] -- 0:07:16
489000 -- (-568.813) (-568.865) [-533.445] (-579.503) * (-572.483) (-567.762) (-575.802) [-546.713] -- 0:07:14
490000 -- (-565.845) (-575.978) [-535.540] (-580.711) * (-565.144) (-565.796) (-567.316) [-543.894] -- 0:07:14
Average standard deviation of split frequencies: 0.017698
491000 -- (-568.269) (-586.308) [-542.448] (-582.986) * (-571.483) (-575.632) (-576.984) [-545.708] -- 0:07:13
492000 -- (-570.170) (-569.995) [-535.241] (-582.341) * (-562.213) (-580.366) (-567.509) [-546.174] -- 0:07:12
493000 -- (-578.352) (-568.214) [-537.699] (-572.547) * (-560.789) (-568.526) (-600.991) [-548.284] -- 0:07:11
494000 -- (-577.154) (-568.883) [-538.700] (-570.038) * (-554.031) (-570.695) (-585.084) [-541.854] -- 0:07:11
495000 -- (-575.242) (-575.926) [-545.232] (-562.898) * (-564.538) (-582.464) (-586.829) [-537.486] -- 0:07:10
Average standard deviation of split frequencies: 0.017858
496000 -- (-587.112) (-578.312) [-536.608] (-560.838) * (-561.850) (-579.926) (-575.349) [-552.965] -- 0:07:08
497000 -- (-585.066) (-573.849) [-539.891] (-567.050) * (-562.805) (-567.309) (-569.513) [-549.558] -- 0:07:08
498000 -- (-586.829) (-568.136) [-536.987] (-558.687) * (-574.155) (-576.387) (-573.192) [-548.698] -- 0:07:07
499000 -- (-580.581) (-572.463) [-538.029] (-554.748) * (-571.147) (-566.098) (-574.785) [-540.127] -- 0:07:06
500000 -- (-577.768) (-561.842) [-530.836] (-570.210) * (-568.835) (-574.836) (-582.570) [-540.862] -- 0:07:06
Average standard deviation of split frequencies: 0.017097
501000 -- (-570.042) (-562.239) [-534.431] (-570.216) * (-562.665) (-575.875) (-577.458) [-536.715] -- 0:07:05
502000 -- (-567.836) (-564.082) [-544.766] (-567.061) * (-562.406) (-571.181) (-579.882) [-544.824] -- 0:07:04
503000 -- (-567.555) (-560.333) [-542.590] (-570.205) * (-555.593) (-572.136) (-575.668) [-542.920] -- 0:07:03
504000 -- (-581.527) (-567.904) [-544.813] (-574.550) * (-563.248) (-565.526) (-575.079) [-546.175] -- 0:07:02
505000 -- (-574.989) (-564.345) [-541.550] (-579.992) * (-560.986) (-560.960) (-560.331) [-550.121] -- 0:07:01
Average standard deviation of split frequencies: 0.015593
506000 -- (-580.290) (-558.535) [-537.127] (-570.050) * (-574.400) (-560.730) (-562.602) [-541.904] -- 0:07:00
507000 -- (-577.292) (-556.526) [-540.867] (-570.882) * (-569.877) (-563.312) (-564.870) [-541.504] -- 0:07:00
508000 -- (-593.185) (-559.544) [-546.078] (-569.721) * (-584.468) (-564.917) (-575.240) [-541.535] -- 0:06:59
509000 -- (-585.024) (-555.712) [-533.987] (-568.319) * (-584.804) (-564.467) (-566.125) [-539.739] -- 0:06:58
510000 -- (-591.439) (-564.080) [-535.643] (-561.139) * (-580.287) (-560.446) (-567.307) [-538.012] -- 0:06:57
Average standard deviation of split frequencies: 0.015644
511000 -- (-578.140) (-555.924) [-542.365] (-567.755) * (-582.483) (-554.819) (-573.736) [-546.580] -- 0:06:56
512000 -- (-570.105) (-556.717) [-538.798] (-570.063) * (-569.274) (-559.888) (-573.183) [-547.348] -- 0:06:55
513000 -- (-575.982) (-563.448) [-542.271] (-558.515) * (-581.158) (-558.777) (-589.388) [-540.013] -- 0:06:54
514000 -- (-566.905) (-572.703) [-537.424] (-560.400) * (-573.641) (-554.772) (-574.649) [-548.077] -- 0:06:54
515000 -- (-571.867) (-571.130) [-540.301] (-569.691) * (-569.173) (-565.200) (-579.829) [-537.795] -- 0:06:53
Average standard deviation of split frequencies: 0.016589
516000 -- (-565.367) (-582.855) [-554.842] (-566.517) * (-576.702) (-558.831) (-586.409) [-533.389] -- 0:06:52
517000 -- (-564.904) (-582.056) [-545.720] (-561.345) * (-600.746) (-563.087) (-576.152) [-536.266] -- 0:06:51
518000 -- (-563.370) (-575.872) [-544.363] (-565.440) * (-587.842) (-560.281) (-570.848) [-531.557] -- 0:06:50
519000 -- (-567.826) (-584.102) [-533.669] (-573.257) * (-579.682) (-563.166) (-582.007) [-535.096] -- 0:06:49
520000 -- (-573.013) (-588.811) [-541.811] (-557.601) * (-592.575) (-570.696) (-567.235) [-533.811] -- 0:06:48
Average standard deviation of split frequencies: 0.016535
521000 -- (-560.484) (-581.179) [-536.148] (-572.499) * (-585.424) (-568.691) (-575.727) [-541.317] -- 0:06:48
522000 -- (-561.328) (-568.496) [-538.524] (-572.259) * (-583.222) (-579.156) (-583.207) [-538.597] -- 0:06:47
523000 -- (-563.067) (-581.378) [-542.230] (-570.674) * (-577.349) (-573.575) (-579.267) [-537.776] -- 0:06:46
524000 -- (-554.253) (-573.055) [-540.258] (-575.586) * (-569.995) (-573.446) (-576.533) [-537.434] -- 0:06:46
525000 -- (-555.917) (-571.120) [-546.400] (-579.628) * (-569.363) (-572.359) (-578.180) [-537.395] -- 0:06:44
Average standard deviation of split frequencies: 0.015754
526000 -- (-554.489) (-578.483) [-549.615] (-571.072) * (-582.685) (-574.990) (-592.355) [-540.172] -- 0:06:43
527000 -- (-557.766) (-571.674) [-543.993] (-567.187) * (-574.876) (-579.217) (-579.694) [-536.046] -- 0:06:42
528000 -- (-557.311) (-576.266) [-546.835] (-566.165) * (-568.863) (-564.083) (-569.647) [-533.646] -- 0:06:42
529000 -- (-559.688) (-575.532) [-543.287] (-584.728) * (-576.065) (-570.220) (-564.722) [-537.951] -- 0:06:41
530000 -- (-560.160) (-570.096) [-539.314] (-570.685) * (-577.777) (-572.698) (-571.164) [-529.795] -- 0:06:40
Average standard deviation of split frequencies: 0.016364
531000 -- (-558.545) (-584.127) [-552.325] (-558.304) * (-583.725) (-570.879) (-581.599) [-532.831] -- 0:06:39
532000 -- (-562.728) (-581.423) [-549.646] (-580.626) * (-585.097) (-575.750) (-586.235) [-538.988] -- 0:06:38
533000 -- (-561.213) (-569.453) [-545.687] (-568.841) * (-576.950) (-576.764) (-591.441) [-532.927] -- 0:06:37
534000 -- (-561.164) (-571.709) [-537.631] (-571.849) * (-574.022) (-574.663) (-578.887) [-536.893] -- 0:06:37
535000 -- (-563.654) (-566.634) [-547.535] (-568.268) * (-574.322) (-572.834) (-573.312) [-532.599] -- 0:06:36
Average standard deviation of split frequencies: 0.016433
536000 -- (-551.410) (-566.434) [-541.266] (-561.682) * (-562.671) (-573.539) (-568.365) [-528.702] -- 0:06:35
537000 -- (-557.408) (-581.110) [-542.364] (-566.759) * (-558.080) (-569.968) (-569.667) [-538.796] -- 0:06:34
538000 -- (-566.959) (-573.606) [-535.645] (-563.980) * (-560.660) (-565.301) (-568.103) [-539.469] -- 0:06:33
539000 -- (-573.817) (-576.850) [-531.286] (-562.969) * (-553.671) (-577.223) (-569.313) [-534.898] -- 0:06:32
540000 -- (-573.612) (-573.094) [-534.799] (-563.370) * (-553.083) (-574.669) (-566.887) [-533.240] -- 0:06:31
Average standard deviation of split frequencies: 0.016704
541000 -- (-584.464) (-578.465) [-533.709] (-566.802) * (-558.981) (-572.546) (-561.734) [-537.262] -- 0:06:31
542000 -- (-566.842) (-577.195) [-534.503] (-561.893) * (-571.389) (-578.938) (-560.192) [-533.281] -- 0:06:30
543000 -- (-565.467) (-576.321) [-533.208] (-562.204) * (-560.407) (-580.908) (-569.800) [-537.549] -- 0:06:29
544000 -- (-564.914) (-577.966) [-537.565] (-557.567) * (-554.529) (-573.821) (-565.997) [-540.592] -- 0:06:28
545000 -- (-559.510) (-570.306) [-537.307] (-571.915) * (-562.289) (-568.059) (-572.739) [-541.468] -- 0:06:27
Average standard deviation of split frequencies: 0.016086
546000 -- (-557.718) (-567.779) [-544.805] (-586.132) * (-561.027) (-579.005) (-563.254) [-539.623] -- 0:06:26
547000 -- (-566.255) (-567.288) [-542.777] (-573.011) * (-556.480) (-576.259) (-567.131) [-545.048] -- 0:06:25
548000 -- (-559.859) (-573.159) [-542.842] (-572.552) * (-555.660) (-590.738) (-559.030) [-544.190] -- 0:06:25
549000 -- (-559.317) (-572.196) [-540.162] (-569.542) * (-565.790) (-579.224) (-565.331) [-530.597] -- 0:06:24
550000 -- (-572.774) (-571.614) [-539.781] (-565.212) * (-560.622) (-587.455) (-565.966) [-532.103] -- 0:06:22
Average standard deviation of split frequencies: 0.013922
551000 -- (-562.108) (-564.014) [-538.369] (-570.985) * (-556.277) (-572.827) (-579.369) [-537.985] -- 0:06:22
552000 -- (-565.866) (-569.432) [-537.784] (-570.977) * (-573.218) (-572.591) (-577.558) [-539.319] -- 0:06:21
553000 -- (-565.776) (-573.346) [-540.199] (-563.984) * (-567.863) (-584.268) (-570.628) [-539.133] -- 0:06:20
554000 -- (-572.790) (-567.500) [-542.267] (-568.383) * (-572.570) (-588.080) (-565.978) [-539.603] -- 0:06:19
555000 -- (-582.065) (-578.140) [-539.885] (-567.048) * (-568.492) (-584.081) (-565.553) [-546.140] -- 0:06:19
Average standard deviation of split frequencies: 0.013209
556000 -- (-569.128) (-570.661) [-535.082] (-569.973) * (-565.795) (-579.434) (-566.120) [-538.115] -- 0:06:17
557000 -- (-562.841) (-561.370) [-541.495] (-563.306) * (-569.283) (-577.083) (-568.275) [-540.502] -- 0:06:16
558000 -- (-560.920) (-558.699) [-554.180] (-571.893) * (-571.256) (-579.638) (-571.314) [-543.065] -- 0:06:16
559000 -- (-563.709) (-562.881) [-547.506] (-571.874) * (-570.186) (-574.569) (-576.437) [-541.090] -- 0:06:15
560000 -- (-557.997) (-566.439) [-535.518] (-569.019) * (-579.277) (-576.177) (-572.053) [-536.114] -- 0:06:14
Average standard deviation of split frequencies: 0.013895
561000 -- (-561.876) (-564.874) [-540.894] (-567.121) * (-577.040) (-579.138) (-569.870) [-538.510] -- 0:06:14
562000 -- (-555.805) (-565.690) [-534.970] (-561.505) * (-575.746) (-574.892) (-571.134) [-531.974] -- 0:06:13
563000 -- (-557.712) (-572.044) [-530.427] (-560.387) * (-572.538) (-578.238) (-573.542) [-532.119] -- 0:06:11
564000 -- (-556.609) (-579.203) [-539.624] (-560.907) * (-573.463) (-580.884) (-578.555) [-533.450] -- 0:06:11
565000 -- (-560.251) (-567.405) [-538.535] (-570.864) * (-565.723) (-590.588) (-587.069) [-535.727] -- 0:06:10
Average standard deviation of split frequencies: 0.015518
566000 -- (-567.013) (-574.504) [-539.793] (-570.651) * (-572.918) (-580.163) (-591.110) [-534.835] -- 0:06:09
567000 -- (-561.951) (-555.267) [-538.961] (-562.575) * (-573.737) (-570.289) (-587.768) [-534.376] -- 0:06:08
568000 -- (-563.691) (-569.504) [-541.544] (-556.990) * (-576.111) (-567.555) (-579.542) [-536.136] -- 0:06:08
569000 -- (-567.704) (-563.227) [-534.010] (-559.401) * (-570.153) (-577.095) (-576.891) [-538.867] -- 0:06:07
570000 -- (-576.556) (-572.027) [-532.714] (-564.831) * (-563.638) (-579.549) (-577.491) [-537.109] -- 0:06:05
Average standard deviation of split frequencies: 0.015869
571000 -- (-575.489) (-571.750) [-540.970] (-567.692) * (-573.402) (-572.204) (-584.280) [-534.782] -- 0:06:05
572000 -- (-566.410) (-568.838) [-538.034] (-564.335) * (-563.582) (-574.811) (-587.191) [-535.341] -- 0:06:04
573000 -- (-573.065) (-558.563) [-541.062] (-569.632) * (-566.395) (-575.643) (-588.605) [-533.323] -- 0:06:03
574000 -- (-567.904) (-561.374) [-541.331] (-571.368) * (-566.709) (-577.886) (-583.922) [-534.531] -- 0:06:02
575000 -- (-560.852) (-568.472) [-537.100] (-583.967) * (-563.028) (-575.441) (-587.330) [-543.958] -- 0:06:02
Average standard deviation of split frequencies: 0.016153
576000 -- (-574.154) (-565.255) [-541.980] (-567.958) * (-561.684) (-580.985) (-578.622) [-543.848] -- 0:06:01
577000 -- (-575.712) (-567.912) [-541.381] (-570.103) * (-560.935) (-564.191) (-574.843) [-540.863] -- 0:06:00
578000 -- (-580.140) (-566.725) [-537.622] (-572.663) * (-563.770) (-574.702) (-571.771) [-542.569] -- 0:05:59
579000 -- (-567.869) (-557.683) [-530.173] (-573.893) * (-569.401) (-578.101) (-582.981) [-548.460] -- 0:05:58
580000 -- (-573.067) (-560.996) [-533.523] (-576.676) * (-563.120) (-563.462) (-584.519) [-546.528] -- 0:05:57
Average standard deviation of split frequencies: 0.015553
581000 -- (-581.451) (-560.136) [-534.917] (-575.884) * (-565.194) (-561.089) (-583.816) [-543.597] -- 0:05:56
582000 -- (-575.967) (-548.037) [-546.238] (-575.473) * (-563.623) (-557.026) (-579.859) [-544.841] -- 0:05:56
583000 -- (-575.562) (-556.020) [-536.277] (-571.823) * (-569.227) (-562.846) (-576.500) [-550.159] -- 0:05:55
584000 -- (-568.189) (-566.891) [-547.686] (-560.864) * (-577.258) (-569.962) (-566.481) [-546.014] -- 0:05:54
585000 -- (-568.754) (-565.657) [-547.703] (-571.171) * (-569.954) (-567.738) (-569.217) [-547.427] -- 0:05:53
Average standard deviation of split frequencies: 0.014776
586000 -- (-576.082) (-561.622) [-548.398] (-569.228) * (-574.665) (-574.436) (-566.572) [-542.372] -- 0:05:52
587000 -- (-568.195) (-562.460) [-533.322] (-570.452) * (-576.494) (-573.727) (-568.538) [-543.585] -- 0:05:51
588000 -- (-570.039) (-560.249) [-536.966] (-566.877) * (-570.339) (-577.112) (-571.539) [-542.430] -- 0:05:51
589000 -- (-579.260) (-567.436) [-547.070] (-566.166) * (-561.144) (-578.484) (-575.961) [-541.633] -- 0:05:50
590000 -- (-571.397) (-561.931) [-546.635] (-566.731) * (-560.819) (-576.354) (-567.037) [-541.350] -- 0:05:49
Average standard deviation of split frequencies: 0.014114
591000 -- (-584.411) (-556.466) [-551.012] (-561.795) * (-558.745) (-565.160) (-564.991) [-542.139] -- 0:05:48
592000 -- (-594.088) (-561.359) [-554.956] (-570.542) * (-564.455) (-570.641) (-565.227) [-541.428] -- 0:05:47
593000 -- (-583.372) (-552.822) [-560.098] (-571.795) * (-559.698) (-568.902) (-558.531) [-532.279] -- 0:05:46
594000 -- (-588.947) (-564.118) [-547.847] (-570.431) * (-556.616) (-577.024) (-570.544) [-539.606] -- 0:05:45
595000 -- (-601.316) (-561.450) [-546.479] (-556.723) * (-564.760) (-568.583) (-564.798) [-540.519] -- 0:05:45
Average standard deviation of split frequencies: 0.013987
596000 -- (-607.927) (-559.031) [-547.869] (-558.686) * (-564.630) (-580.350) (-563.111) [-538.063] -- 0:05:44
597000 -- (-597.180) (-552.491) [-548.189] (-561.664) * (-562.567) (-577.711) (-562.354) [-535.188] -- 0:05:43
598000 -- (-576.944) (-559.102) [-557.181] (-567.413) * (-571.780) (-561.223) (-564.666) [-537.815] -- 0:05:42
599000 -- (-570.028) (-560.691) [-553.302] (-569.377) * (-562.227) (-570.279) (-571.428) [-536.242] -- 0:05:41
600000 -- (-574.169) (-554.396) [-551.247] (-574.347) * (-565.204) (-568.516) (-570.224) [-532.759] -- 0:05:40
Average standard deviation of split frequencies: 0.014333
601000 -- (-569.760) (-568.169) [-544.170] (-576.254) * (-577.897) (-577.125) (-571.774) [-533.137] -- 0:05:39
602000 -- (-571.874) (-550.845) [-539.807] (-563.868) * (-568.480) (-576.143) (-560.572) [-546.372] -- 0:05:39
603000 -- (-570.604) (-557.873) [-553.314] (-561.892) * (-575.994) (-580.297) (-563.386) [-537.693] -- 0:05:38
604000 -- (-568.080) (-557.077) [-540.295] (-564.049) * (-577.588) (-576.689) (-569.534) [-533.124] -- 0:05:37
605000 -- (-566.505) (-562.553) [-540.282] (-559.998) * (-586.475) (-588.928) (-560.846) [-533.961] -- 0:05:36
Average standard deviation of split frequencies: 0.014534
606000 -- (-566.369) (-562.631) [-546.452] (-563.049) * (-572.309) (-569.655) (-561.711) [-531.369] -- 0:05:35
607000 -- (-566.097) (-553.466) [-546.510] (-562.507) * (-578.191) (-573.417) (-570.814) [-536.918] -- 0:05:34
608000 -- (-565.780) (-567.115) [-538.046] (-553.989) * (-584.936) (-578.691) (-574.780) [-539.313] -- 0:05:33
609000 -- (-572.138) (-557.983) [-537.962] (-559.958) * (-565.043) (-564.559) (-567.328) [-540.340] -- 0:05:33
610000 -- (-564.898) (-562.605) [-537.947] (-572.705) * (-566.332) (-567.753) (-565.300) [-542.166] -- 0:05:32
Average standard deviation of split frequencies: 0.013651
611000 -- (-563.424) (-554.356) [-548.170] (-566.100) * (-569.051) (-568.809) (-577.296) [-538.317] -- 0:05:31
612000 -- (-561.518) (-560.623) [-544.451] (-560.862) * (-568.207) (-572.297) (-582.710) [-538.442] -- 0:05:30
613000 -- (-571.830) (-565.448) [-537.315] (-556.373) * (-557.925) (-574.281) (-583.560) [-530.364] -- 0:05:29
614000 -- (-556.293) (-569.201) [-540.134] (-555.802) * (-560.729) (-568.312) (-586.881) [-536.610] -- 0:05:28
615000 -- (-563.969) (-567.254) [-540.159] (-572.321) * (-567.913) (-565.906) (-577.025) [-541.042] -- 0:05:28
Average standard deviation of split frequencies: 0.013332
616000 -- (-578.214) (-572.727) [-532.950] (-556.078) * (-556.686) (-564.782) (-574.038) [-541.433] -- 0:05:27
617000 -- (-565.603) (-559.693) [-530.191] (-555.207) * (-558.662) (-567.576) (-571.443) [-531.686] -- 0:05:26
618000 -- (-571.534) (-560.774) [-535.098] (-556.938) * (-557.617) (-570.661) (-562.591) [-540.751] -- 0:05:25
619000 -- (-571.464) (-564.350) [-539.097] (-559.876) * (-572.248) (-569.895) (-574.109) [-533.177] -- 0:05:24
620000 -- (-579.667) (-571.047) [-542.918] (-549.914) * (-588.822) (-564.860) (-572.341) [-544.158] -- 0:05:23
Average standard deviation of split frequencies: 0.012592
621000 -- (-568.184) (-573.904) [-532.393] (-557.562) * (-575.424) (-565.921) (-577.426) [-539.815] -- 0:05:22
622000 -- (-572.912) (-571.074) [-541.853] (-566.038) * (-566.925) (-580.091) (-576.976) [-536.512] -- 0:05:22
623000 -- (-567.919) (-553.297) [-538.382] (-554.228) * (-566.934) (-582.481) (-569.873) [-540.448] -- 0:05:21
624000 -- (-553.009) (-552.447) [-537.283] (-568.909) * (-581.328) (-581.845) (-570.561) [-539.459] -- 0:05:20
625000 -- (-566.367) (-563.037) [-538.194] (-556.552) * (-589.658) (-576.650) (-570.286) [-534.038] -- 0:05:19
Average standard deviation of split frequencies: 0.012405
626000 -- (-575.255) (-560.535) [-534.469] (-558.164) * (-609.553) (-580.568) (-570.722) [-537.148] -- 0:05:18
627000 -- (-575.867) (-555.252) [-532.085] (-558.121) * (-595.245) (-573.086) (-583.093) [-533.412] -- 0:05:17
628000 -- (-564.546) (-556.866) [-534.995] (-561.923) * (-580.382) (-576.496) (-577.089) [-545.361] -- 0:05:16
629000 -- (-572.160) (-568.754) [-535.374] (-562.700) * (-579.441) (-573.800) (-573.662) [-543.172] -- 0:05:16
630000 -- (-558.482) (-555.676) [-541.821] (-562.795) * (-576.296) (-568.527) (-577.270) [-550.378] -- 0:05:15
Average standard deviation of split frequencies: 0.012668
631000 -- (-558.332) (-555.262) [-538.538] (-570.492) * (-572.930) (-562.883) (-586.311) [-547.553] -- 0:05:14
632000 -- (-560.254) (-566.392) [-539.325] (-567.552) * (-558.831) (-574.135) (-591.379) [-543.109] -- 0:05:13
633000 -- (-557.918) (-567.938) [-535.500] (-569.058) * (-555.094) (-579.496) (-582.422) [-548.420] -- 0:05:12
634000 -- (-563.695) (-566.357) [-536.348] (-573.394) * (-561.353) (-569.145) (-583.261) [-551.235] -- 0:05:11
635000 -- (-558.377) (-571.430) [-546.202] (-577.400) * (-558.578) (-569.957) (-596.419) [-543.571] -- 0:05:10
Average standard deviation of split frequencies: 0.012834
636000 -- (-566.815) (-576.560) [-537.795] (-593.746) * (-564.434) (-566.937) (-584.652) [-551.981] -- 0:05:10
637000 -- (-563.762) (-570.961) [-534.888] (-586.359) * (-565.929) (-570.144) (-584.564) [-541.045] -- 0:05:09
638000 -- (-566.258) (-560.698) [-541.988] (-584.049) * (-564.513) (-563.556) (-585.835) [-540.342] -- 0:05:08
639000 -- (-554.964) (-567.392) [-540.343] (-573.106) * (-556.190) (-559.961) (-584.965) [-535.808] -- 0:05:07
640000 -- (-558.977) (-591.445) [-534.284] (-567.419) * (-572.158) (-564.471) (-596.966) [-536.838] -- 0:05:06
Average standard deviation of split frequencies: 0.012973
641000 -- (-568.577) (-574.313) [-535.970] (-574.589) * (-550.524) (-568.008) (-579.379) [-542.415] -- 0:05:05
642000 -- (-568.937) (-566.017) [-533.946] (-570.454) * (-566.528) (-571.997) (-585.169) [-539.557] -- 0:05:05
643000 -- (-579.391) (-567.949) [-533.565] (-564.889) * (-558.040) (-578.006) (-577.603) [-538.811] -- 0:05:04
644000 -- (-576.589) (-562.629) [-539.372] (-560.970) * (-558.617) (-572.836) (-578.628) [-535.092] -- 0:05:02
645000 -- (-576.758) (-568.414) [-539.312] (-560.156) * (-552.761) (-569.802) (-579.338) [-540.504] -- 0:05:02
Average standard deviation of split frequencies: 0.013558
646000 -- (-581.049) (-559.945) [-535.775] (-566.362) * (-552.097) (-574.006) (-570.644) [-541.271] -- 0:05:01
647000 -- (-578.720) (-561.149) [-540.160] (-572.344) * (-561.345) (-578.652) (-574.992) [-538.817] -- 0:05:00
648000 -- (-579.722) (-567.512) [-533.836] (-558.055) * (-560.421) (-566.608) (-568.617) [-532.546] -- 0:04:59
649000 -- (-584.160) (-559.442) [-549.014] (-556.613) * (-559.323) (-572.792) (-561.075) [-534.843] -- 0:04:59
650000 -- (-577.742) (-563.477) [-543.701] (-572.133) * (-561.016) (-565.777) (-568.974) [-536.126] -- 0:04:58
Average standard deviation of split frequencies: 0.012812
651000 -- (-560.107) (-568.022) [-543.933] (-553.338) * (-563.715) (-566.351) (-579.381) [-539.823] -- 0:04:57
652000 -- (-565.574) (-561.029) [-547.329] (-563.857) * (-562.584) (-563.702) (-586.494) [-531.931] -- 0:04:56
653000 -- (-563.104) (-562.283) [-538.590] (-580.761) * (-569.972) (-556.620) (-595.918) [-537.592] -- 0:04:55
654000 -- (-566.748) (-562.314) [-539.214] (-584.967) * (-551.882) (-561.444) (-578.556) [-536.268] -- 0:04:54
655000 -- (-576.902) (-562.687) [-533.472] (-579.048) * (-551.447) (-564.907) (-586.076) [-539.018] -- 0:04:53
Average standard deviation of split frequencies: 0.012330
656000 -- (-571.884) (-571.520) [-534.655] (-573.674) * (-557.212) (-563.742) (-594.811) [-536.831] -- 0:04:53
657000 -- (-580.071) (-560.563) [-542.703] (-576.558) * (-556.464) (-559.835) (-588.744) [-542.167] -- 0:04:52
658000 -- (-583.096) (-567.608) [-538.062] (-579.946) * (-554.215) (-561.172) (-599.414) [-550.513] -- 0:04:51
659000 -- (-588.805) (-570.969) [-533.013] (-584.583) * (-555.822) (-563.179) (-599.581) [-549.023] -- 0:04:50
660000 -- (-577.191) (-569.080) [-528.283] (-579.626) * (-561.827) (-571.699) (-606.317) [-547.178] -- 0:04:49
Average standard deviation of split frequencies: 0.012130
661000 -- (-570.974) (-569.375) [-543.449] (-582.339) * (-562.698) (-576.671) (-603.966) [-539.429] -- 0:04:48
662000 -- (-578.952) (-567.978) [-538.521] (-564.286) * (-564.977) (-576.505) (-594.622) [-539.387] -- 0:04:47
663000 -- (-569.867) (-568.486) [-547.017] (-572.655) * (-567.898) (-571.480) (-586.794) [-552.854] -- 0:04:47
664000 -- (-565.183) (-563.970) [-548.628] (-582.332) * (-571.787) (-574.379) (-591.738) [-549.032] -- 0:04:46
665000 -- (-567.641) (-564.283) [-549.371] (-582.296) * (-575.009) (-582.254) (-591.612) [-546.356] -- 0:04:45
Average standard deviation of split frequencies: 0.012405
666000 -- (-567.745) (-558.859) [-552.180] (-584.178) * (-563.131) (-574.198) (-584.053) [-543.429] -- 0:04:44
667000 -- (-571.985) (-566.700) [-550.464] (-579.419) * (-565.257) (-580.508) (-584.177) [-546.728] -- 0:04:43
668000 -- (-565.814) (-561.902) [-544.360] (-569.631) * (-563.359) (-579.459) (-579.566) [-545.776] -- 0:04:42
669000 -- (-573.535) (-555.952) [-549.390] (-575.367) * (-569.854) (-581.535) (-585.019) [-545.877] -- 0:04:42
670000 -- (-567.842) (-564.686) [-549.860] (-567.113) * (-566.898) (-562.390) (-583.070) [-549.396] -- 0:04:41
Average standard deviation of split frequencies: 0.013392
671000 -- (-568.693) (-575.231) [-544.178] (-557.065) * (-563.808) (-570.966) (-575.510) [-549.381] -- 0:04:40
672000 -- (-573.783) (-568.006) [-547.680] (-557.662) * (-553.839) (-565.558) (-569.508) [-552.423] -- 0:04:39
673000 -- (-564.265) (-564.255) [-540.296] (-561.520) * (-565.390) (-582.232) (-580.581) [-548.889] -- 0:04:38
674000 -- (-566.745) (-573.108) [-550.080] (-559.001) * (-559.136) (-577.766) (-567.175) [-550.937] -- 0:04:37
675000 -- (-567.430) (-565.800) [-537.231] (-561.824) * (-553.139) (-570.350) (-587.563) [-550.148] -- 0:04:36
Average standard deviation of split frequencies: 0.013470
676000 -- (-559.114) (-572.732) [-538.313] (-556.096) * (-552.695) (-563.337) (-579.321) [-539.694] -- 0:04:36
677000 -- (-568.944) (-560.791) [-536.364] (-549.211) * (-557.223) (-568.704) (-579.213) [-536.370] -- 0:04:35
678000 -- (-577.660) (-548.917) [-540.973] (-557.739) * (-549.704) (-567.227) (-579.960) [-531.675] -- 0:04:34
679000 -- (-586.106) (-557.123) [-538.949] (-564.568) * (-553.068) (-577.178) (-573.011) [-531.450] -- 0:04:33
680000 -- (-572.860) (-558.226) [-552.518] (-561.505) * (-551.715) (-564.165) (-567.279) [-532.517] -- 0:04:32
Average standard deviation of split frequencies: 0.013341
681000 -- (-574.532) (-560.759) [-543.345] (-555.151) * (-553.385) (-567.953) (-565.648) [-529.548] -- 0:04:32
682000 -- (-584.483) (-565.735) [-539.887] (-552.186) * (-565.633) (-574.440) (-558.531) [-541.543] -- 0:04:30
683000 -- (-571.544) (-567.392) [-541.791] (-561.179) * (-568.994) (-579.786) (-556.836) [-539.144] -- 0:04:30
684000 -- (-566.708) (-557.421) [-538.215] (-558.595) * (-559.152) (-577.631) (-566.646) [-536.216] -- 0:04:29
685000 -- (-576.024) (-566.103) [-549.919] (-556.827) * (-558.822) (-573.382) (-561.589) [-538.860] -- 0:04:28
Average standard deviation of split frequencies: 0.013599
686000 -- (-570.814) (-563.851) [-550.346] (-553.618) * (-563.595) (-573.395) (-562.856) [-534.395] -- 0:04:27
687000 -- (-565.227) (-572.874) [-550.615] (-557.228) * (-565.362) (-579.256) (-565.338) [-548.473] -- 0:04:26
688000 -- (-570.023) (-566.460) [-556.045] (-555.362) * (-565.266) (-574.696) (-569.066) [-546.824] -- 0:04:26
689000 -- (-570.326) (-573.106) [-548.568] (-567.111) * (-561.196) (-579.035) (-570.146) [-544.337] -- 0:04:25
690000 -- (-565.412) (-576.606) [-543.501] (-562.575) * (-566.462) (-571.567) (-565.263) [-537.867] -- 0:04:24
Average standard deviation of split frequencies: 0.013579
691000 -- (-571.449) (-564.209) [-552.022] (-563.262) * (-559.233) (-572.065) (-575.619) [-541.686] -- 0:04:23
692000 -- (-564.063) (-567.519) [-544.865] (-559.314) * (-555.273) (-574.334) (-578.682) [-539.556] -- 0:04:22
693000 -- (-573.640) (-571.015) [-537.591] (-568.084) * (-549.021) (-569.588) (-577.075) [-539.880] -- 0:04:21
694000 -- (-565.086) (-575.779) [-550.763] (-574.601) * (-548.406) (-571.918) (-574.297) [-531.572] -- 0:04:21
695000 -- (-572.006) (-574.277) [-565.946] (-566.075) * (-558.734) (-567.280) (-582.091) [-532.956] -- 0:04:20
Average standard deviation of split frequencies: 0.013404
696000 -- (-567.037) (-573.267) [-559.733] (-566.802) * (-560.901) (-578.318) (-584.817) [-530.318] -- 0:04:19
697000 -- (-570.780) (-580.308) [-558.717] (-566.113) * (-558.257) (-580.565) (-585.671) [-537.467] -- 0:04:18
698000 -- (-568.990) (-588.886) [-549.357] (-571.572) * (-561.073) (-564.387) (-578.738) [-534.304] -- 0:04:17
699000 -- (-568.019) (-565.899) [-552.213] (-578.539) * (-567.991) (-571.698) (-588.731) [-532.582] -- 0:04:16
700000 -- (-565.319) (-564.685) [-542.471] (-574.017) * (-566.215) (-564.316) (-579.186) [-530.426] -- 0:04:15
Average standard deviation of split frequencies: 0.013845
701000 -- (-575.021) (-565.237) [-553.469] (-573.961) * (-569.772) (-575.150) (-594.885) [-535.038] -- 0:04:15
702000 -- (-560.468) (-571.246) [-548.316] (-579.163) * (-577.394) (-573.711) (-579.217) [-538.397] -- 0:04:14
703000 -- (-571.343) (-581.402) [-559.127] (-567.153) * (-584.043) (-569.482) (-582.412) [-532.564] -- 0:04:13
704000 -- (-567.650) (-581.307) [-551.201] (-556.037) * (-569.246) (-564.541) (-575.189) [-543.931] -- 0:04:12
705000 -- (-559.099) (-577.065) [-557.499] (-562.854) * (-560.313) (-574.782) (-574.853) [-536.055] -- 0:04:11
Average standard deviation of split frequencies: 0.014057
706000 -- (-571.358) (-572.407) [-551.452] (-563.203) * (-558.055) (-567.397) (-579.830) [-535.880] -- 0:04:10
707000 -- (-575.186) (-575.596) [-550.784] (-559.744) * (-567.928) (-560.743) (-582.253) [-543.744] -- 0:04:09
708000 -- (-572.197) (-572.297) [-545.138] (-565.683) * (-561.576) (-566.305) (-582.741) [-539.298] -- 0:04:09
709000 -- (-570.627) (-574.910) [-548.903] (-570.109) * (-571.552) (-558.810) (-583.995) [-538.570] -- 0:04:08
710000 -- (-568.659) (-572.316) [-549.775] (-571.984) * (-571.622) (-556.610) (-580.011) [-538.435] -- 0:04:07
Average standard deviation of split frequencies: 0.014209
711000 -- (-568.463) (-572.849) [-550.102] (-576.985) * (-570.406) (-555.350) (-578.050) [-539.244] -- 0:04:06
712000 -- (-566.100) (-569.232) [-544.011] (-581.151) * (-572.533) (-561.662) (-580.676) [-540.128] -- 0:04:05
713000 -- (-572.845) (-571.883) [-540.970] (-573.400) * (-571.942) (-559.521) (-573.870) [-540.886] -- 0:04:04
714000 -- (-576.614) (-562.743) [-547.718] (-573.704) * (-569.701) (-565.471) (-578.393) [-545.290] -- 0:04:03
715000 -- (-569.802) (-558.345) [-535.670] (-570.907) * (-571.345) (-559.621) (-582.719) [-545.985] -- 0:04:03
Average standard deviation of split frequencies: 0.014034
716000 -- (-562.382) (-558.367) [-536.392] (-564.474) * (-561.536) (-558.731) (-573.430) [-535.257] -- 0:04:01
717000 -- (-565.819) (-555.299) [-535.245] (-556.280) * (-559.238) (-577.541) (-575.100) [-541.591] -- 0:04:01
718000 -- (-568.335) (-555.285) [-537.612] (-564.018) * (-559.587) (-570.334) (-579.752) [-540.324] -- 0:04:00
719000 -- (-565.120) (-558.554) [-538.943] (-560.308) * (-560.700) (-571.795) (-592.035) [-546.417] -- 0:03:59
720000 -- (-561.878) (-556.095) [-529.479] (-563.178) * (-564.397) (-568.790) (-591.405) [-543.026] -- 0:03:58
Average standard deviation of split frequencies: 0.014322
721000 -- (-562.680) (-554.246) [-529.287] (-565.787) * (-564.561) (-568.783) (-602.818) [-537.251] -- 0:03:57
722000 -- (-560.225) (-572.317) [-536.513] (-564.860) * (-564.262) (-579.613) (-593.503) [-541.455] -- 0:03:57
723000 -- (-567.803) (-565.651) [-534.351] (-561.997) * (-564.091) (-568.213) (-603.396) [-538.260] -- 0:03:56
724000 -- (-568.118) (-568.688) [-532.650] (-567.512) * (-570.432) (-569.269) (-600.026) [-537.636] -- 0:03:55
725000 -- (-553.382) (-569.213) [-533.848] (-567.177) * (-565.574) (-578.213) (-601.762) [-536.156] -- 0:03:54
Average standard deviation of split frequencies: 0.014524
726000 -- (-562.584) (-563.422) [-541.565] (-574.778) * (-565.040) (-575.429) (-604.373) [-536.503] -- 0:03:53
727000 -- (-558.785) (-573.945) [-537.111] (-573.660) * (-562.740) (-578.317) (-604.209) [-548.697] -- 0:03:52
728000 -- (-558.880) (-566.285) [-532.163] (-565.534) * (-562.012) (-584.465) (-609.879) [-535.877] -- 0:03:52
729000 -- (-559.151) (-564.265) [-529.814] (-567.319) * (-561.192) (-591.753) (-601.219) [-549.675] -- 0:03:50
730000 -- (-568.424) (-562.121) [-532.697] (-570.182) * (-556.969) (-585.431) (-600.134) [-549.766] -- 0:03:50
Average standard deviation of split frequencies: 0.014126
731000 -- (-574.896) (-567.442) [-538.084] (-562.515) * (-562.743) (-584.602) (-604.824) [-552.750] -- 0:03:49
732000 -- (-564.545) (-572.324) [-536.304] (-559.983) * (-564.137) (-571.351) (-587.265) [-553.024] -- 0:03:48
733000 -- (-572.763) (-573.817) [-540.031] (-557.800) * (-571.301) (-585.520) (-576.818) [-549.293] -- 0:03:47
734000 -- (-589.020) (-576.906) [-542.620] (-564.861) * (-567.740) (-568.802) (-567.216) [-548.811] -- 0:03:46
735000 -- (-581.522) (-583.711) [-538.618] (-561.546) * (-563.362) (-571.200) (-565.840) [-547.641] -- 0:03:46
Average standard deviation of split frequencies: 0.013754
736000 -- (-575.055) (-581.116) [-535.863] (-564.109) * (-565.962) (-576.583) (-577.315) [-534.086] -- 0:03:44
737000 -- (-573.760) (-580.502) [-537.919] (-567.669) * (-577.251) (-571.900) (-576.059) [-533.531] -- 0:03:44
738000 -- (-578.691) (-577.542) [-540.072] (-568.927) * (-576.004) (-578.450) (-576.032) [-542.693] -- 0:03:43
739000 -- (-579.496) (-580.917) [-537.207] (-563.170) * (-585.010) (-583.420) (-584.142) [-536.727] -- 0:03:42
740000 -- (-576.270) (-573.926) [-536.117] (-574.029) * (-587.192) (-578.449) (-573.360) [-541.412] -- 0:03:41
Average standard deviation of split frequencies: 0.014438
741000 -- (-576.193) (-574.948) [-533.214] (-559.246) * (-581.815) (-575.600) (-576.439) [-537.815] -- 0:03:40
742000 -- (-578.816) (-578.800) [-537.417] (-570.091) * (-575.326) (-576.925) (-588.255) [-536.212] -- 0:03:39
743000 -- (-564.101) (-580.073) [-537.298] (-574.389) * (-570.427) (-580.528) (-569.579) [-534.873] -- 0:03:38
744000 -- (-561.408) (-584.393) [-535.803] (-573.905) * (-564.769) (-574.464) (-580.323) [-534.595] -- 0:03:38
745000 -- (-556.570) (-577.888) [-527.655] (-576.061) * (-563.384) (-573.227) (-581.474) [-537.070] -- 0:03:37
Average standard deviation of split frequencies: 0.015399
746000 -- (-552.269) (-580.678) [-533.351] (-581.257) * (-566.355) (-568.222) (-580.931) [-531.683] -- 0:03:36
747000 -- (-557.579) (-568.439) [-529.292] (-578.255) * (-562.478) (-573.672) (-582.426) [-535.320] -- 0:03:35
748000 -- (-564.157) (-567.593) [-539.925] (-561.746) * (-570.095) (-563.440) (-583.237) [-535.953] -- 0:03:34
749000 -- (-565.588) (-566.575) [-541.845] (-563.275) * (-577.848) (-567.655) (-570.977) [-540.457] -- 0:03:34
750000 -- (-572.233) (-557.482) [-541.721] (-561.627) * (-572.680) (-567.652) (-572.726) [-534.736] -- 0:03:33
Average standard deviation of split frequencies: 0.015931
751000 -- (-570.405) (-560.688) [-540.410] (-558.329) * (-562.702) (-568.510) (-568.981) [-544.395] -- 0:03:32
752000 -- (-564.404) (-564.641) [-543.261] (-562.238) * (-570.298) (-567.219) (-562.078) [-541.051] -- 0:03:31
753000 -- (-555.067) (-562.080) [-545.791] (-560.702) * (-561.950) (-585.648) (-561.924) [-537.741] -- 0:03:30
754000 -- (-557.120) (-568.378) [-542.969] (-571.819) * (-557.913) (-580.197) (-560.971) [-534.861] -- 0:03:29
755000 -- (-563.531) (-576.165) [-542.977] (-568.980) * (-556.824) (-570.896) (-561.453) [-543.072] -- 0:03:28
Average standard deviation of split frequencies: 0.015228
756000 -- (-562.815) (-561.149) [-549.198] (-563.184) * (-574.151) (-570.114) (-567.305) [-534.588] -- 0:03:27
757000 -- (-562.132) (-570.591) [-544.828] (-563.324) * (-572.191) (-575.830) (-564.524) [-535.346] -- 0:03:27
758000 -- (-564.356) (-578.011) [-545.602] (-566.672) * (-581.819) (-572.021) (-570.336) [-530.816] -- 0:03:26
759000 -- (-565.368) (-567.146) [-542.347] (-576.250) * (-565.904) (-573.697) (-566.747) [-529.423] -- 0:03:25
760000 -- (-559.391) (-570.383) [-545.171] (-571.917) * (-565.307) (-567.267) (-561.550) [-530.034] -- 0:03:24
Average standard deviation of split frequencies: 0.015297
761000 -- (-577.807) (-562.480) [-541.561] (-561.343) * (-566.657) (-565.062) (-569.445) [-528.130] -- 0:03:23
762000 -- (-576.482) (-565.829) [-538.922] (-577.659) * (-559.707) (-562.547) (-575.536) [-535.594] -- 0:03:23
763000 -- (-575.020) (-556.718) [-540.936] (-574.485) * (-559.862) (-568.381) (-571.380) [-540.050] -- 0:03:22
764000 -- (-580.812) (-564.570) [-546.160] (-579.246) * (-563.685) (-561.507) (-577.164) [-534.841] -- 0:03:21
765000 -- (-575.303) (-572.284) [-546.489] (-572.195) * (-567.290) (-563.919) (-576.319) [-537.242] -- 0:03:20
Average standard deviation of split frequencies: 0.014835
766000 -- (-573.872) (-571.121) [-543.726] (-564.720) * (-563.962) (-566.414) (-570.802) [-535.431] -- 0:03:19
767000 -- (-575.392) (-573.618) [-542.760] (-568.906) * (-559.256) (-571.991) (-571.049) [-533.054] -- 0:03:18
768000 -- (-568.530) (-568.138) [-541.043] (-570.832) * (-559.698) (-577.991) (-576.595) [-533.295] -- 0:03:17
769000 -- (-561.938) (-572.299) [-540.657] (-576.328) * (-559.522) (-574.195) (-569.822) [-532.474] -- 0:03:17
770000 -- (-572.428) (-568.918) [-542.940] (-586.206) * (-564.849) (-579.645) (-567.481) [-532.179] -- 0:03:16
Average standard deviation of split frequencies: 0.015002
771000 -- (-565.423) (-558.016) [-540.721] (-599.264) * (-559.875) (-576.523) (-563.274) [-554.119] -- 0:03:15
772000 -- (-569.186) (-562.106) [-540.144] (-591.517) * (-571.424) (-574.980) (-567.316) [-562.980] -- 0:03:14
773000 -- (-572.629) (-559.975) [-543.761] (-568.948) * (-557.829) (-579.576) (-562.673) [-539.869] -- 0:03:13
774000 -- (-569.328) (-557.568) [-540.174] (-582.045) * (-551.533) (-575.011) (-563.466) [-533.163] -- 0:03:12
775000 -- (-569.842) (-557.552) [-542.036] (-582.587) * (-556.302) (-578.749) (-559.661) [-538.881] -- 0:03:11
Average standard deviation of split frequencies: 0.014803
776000 -- (-569.676) (-553.549) [-541.661] (-563.729) * (-552.586) (-571.120) (-571.117) [-539.804] -- 0:03:11
777000 -- (-564.504) (-558.888) [-538.609] (-561.518) * (-552.983) (-584.134) (-573.310) [-544.508] -- 0:03:10
778000 -- (-557.953) (-555.944) [-540.894] (-562.943) * (-560.623) (-584.172) (-578.760) [-533.736] -- 0:03:09
779000 -- (-568.528) (-562.926) [-544.861] (-561.827) * (-558.796) (-575.657) (-583.020) [-540.402] -- 0:03:08
780000 -- (-566.185) (-560.886) [-542.927] (-559.113) * (-567.276) (-577.900) (-568.274) [-536.962] -- 0:03:07
Average standard deviation of split frequencies: 0.014906
781000 -- (-582.562) (-558.583) [-537.319] (-568.689) * (-571.369) (-578.678) (-564.811) [-539.439] -- 0:03:06
782000 -- (-570.094) (-562.238) [-536.796] (-560.230) * (-582.080) (-586.198) (-556.392) [-538.179] -- 0:03:05
783000 -- (-577.465) (-564.054) [-536.161] (-565.706) * (-568.397) (-572.053) (-566.062) [-537.520] -- 0:03:05
784000 -- (-573.255) (-569.671) [-534.264] (-574.123) * (-560.836) (-569.551) (-557.741) [-543.497] -- 0:03:04
785000 -- (-585.374) (-568.928) [-537.056] (-566.860) * (-552.266) (-566.996) (-561.907) [-537.210] -- 0:03:03
Average standard deviation of split frequencies: 0.015246
786000 -- (-582.478) (-570.719) [-541.289] (-565.597) * (-555.511) (-576.124) (-557.795) [-539.330] -- 0:03:02
787000 -- (-577.614) (-567.641) [-538.709] (-561.987) * (-557.769) (-577.067) (-560.682) [-538.407] -- 0:03:01
788000 -- (-572.015) (-570.156) [-533.240] (-555.572) * (-554.674) (-574.957) (-565.507) [-536.320] -- 0:03:00
789000 -- (-568.560) (-569.343) [-535.692] (-565.467) * (-555.286) (-579.200) (-573.043) [-542.722] -- 0:02:59
790000 -- (-574.211) (-567.316) [-535.315] (-563.896) * (-558.608) (-572.842) (-584.897) [-544.801] -- 0:02:59
Average standard deviation of split frequencies: 0.014874
791000 -- (-572.374) (-564.229) [-534.865] (-568.031) * (-560.203) (-572.139) (-586.936) [-546.827] -- 0:02:58
792000 -- (-568.327) (-570.083) [-533.447] (-580.887) * (-558.637) (-569.991) (-579.290) [-552.747] -- 0:02:57
793000 -- (-569.411) (-570.663) [-537.431] (-565.420) * (-561.135) (-587.171) (-574.772) [-547.396] -- 0:02:56
794000 -- (-577.981) (-568.646) [-534.028] (-573.499) * (-560.966) (-581.743) (-581.725) [-550.852] -- 0:02:55
795000 -- (-581.516) (-574.046) [-530.109] (-564.489) * (-561.288) (-587.392) (-587.551) [-550.352] -- 0:02:54
Average standard deviation of split frequencies: 0.014743
796000 -- (-593.803) (-566.753) [-537.831] (-570.216) * (-557.646) (-586.525) (-587.659) [-551.391] -- 0:02:54
797000 -- (-590.441) (-563.117) [-540.606] (-565.886) * (-557.064) (-574.142) (-580.986) [-554.411] -- 0:02:53
798000 -- (-576.529) (-553.569) [-532.230] (-569.636) * (-558.968) (-564.614) (-577.412) [-548.670] -- 0:02:52
799000 -- (-566.709) (-558.870) [-538.824] (-562.925) * (-572.262) (-567.166) (-572.933) [-547.198] -- 0:02:51
800000 -- (-556.424) (-566.166) [-544.664] (-557.735) * (-563.681) (-567.415) (-571.119) [-537.961] -- 0:02:50
Average standard deviation of split frequencies: 0.015153
801000 -- (-560.440) (-565.882) [-543.941] (-557.037) * (-560.866) (-573.102) (-573.071) [-535.125] -- 0:02:49
802000 -- (-571.315) (-564.093) [-548.309] (-568.685) * (-558.280) (-575.702) (-568.306) [-535.436] -- 0:02:48
803000 -- (-564.409) (-569.851) [-538.919] (-558.947) * (-558.090) (-571.887) (-579.479) [-542.148] -- 0:02:48
804000 -- (-562.409) (-570.199) [-542.579] (-563.649) * (-565.804) (-560.740) (-574.815) [-539.896] -- 0:02:46
805000 -- (-572.163) (-576.228) [-537.787] (-563.011) * (-578.904) (-573.689) (-566.955) [-532.646] -- 0:02:46
Average standard deviation of split frequencies: 0.015114
806000 -- (-564.312) (-585.691) [-540.848] (-574.354) * (-571.490) (-570.072) (-567.664) [-534.684] -- 0:02:45
807000 -- (-572.562) (-594.006) [-539.427] (-572.643) * (-560.123) (-575.266) (-565.380) [-541.194] -- 0:02:44
808000 -- (-561.686) (-581.405) [-536.083] (-571.870) * (-581.407) (-583.502) (-580.323) [-543.167] -- 0:02:43
809000 -- (-561.268) (-573.570) [-537.563] (-569.679) * (-566.066) (-568.204) (-594.502) [-546.813] -- 0:02:42
810000 -- (-567.278) (-567.607) [-537.675] (-567.579) * (-562.545) (-576.157) (-591.825) [-547.997] -- 0:02:41
Average standard deviation of split frequencies: 0.015639
811000 -- (-568.150) (-557.119) [-539.840] (-568.618) * (-562.387) (-569.019) (-584.049) [-538.427] -- 0:02:41
812000 -- (-571.429) (-567.591) [-539.108] (-573.431) * (-571.826) (-569.680) (-572.332) [-543.321] -- 0:02:40
813000 -- (-564.377) (-574.672) [-542.925] (-584.068) * (-571.120) (-564.280) (-569.145) [-538.738] -- 0:02:39
814000 -- (-557.636) (-574.521) [-547.981] (-578.457) * (-568.261) (-572.669) (-578.382) [-545.899] -- 0:02:38
815000 -- (-561.650) (-564.540) [-552.653] (-572.165) * (-575.095) (-569.173) (-579.639) [-539.593] -- 0:02:37
Average standard deviation of split frequencies: 0.015659
816000 -- (-563.962) (-565.763) [-543.929] (-577.239) * (-560.354) (-570.315) (-572.080) [-539.832] -- 0:02:36
817000 -- (-562.586) (-580.570) [-541.748] (-582.782) * (-571.460) (-577.382) (-576.424) [-533.848] -- 0:02:35
818000 -- (-569.756) (-573.998) [-540.048] (-574.886) * (-565.052) (-583.275) (-567.111) [-528.116] -- 0:02:35
819000 -- (-570.507) (-572.601) [-539.755] (-572.774) * (-570.508) (-576.161) (-564.730) [-533.117] -- 0:02:34
820000 -- (-557.913) (-578.193) [-545.596] (-582.112) * (-568.970) (-567.833) (-562.554) [-532.617] -- 0:02:33
Average standard deviation of split frequencies: 0.015842
821000 -- (-571.186) (-567.422) [-543.503] (-576.581) * (-580.576) (-566.964) (-561.112) [-532.665] -- 0:02:32
822000 -- (-559.247) (-566.790) [-540.196] (-568.820) * (-582.088) (-568.237) (-559.818) [-550.957] -- 0:02:31
823000 -- (-562.760) (-571.266) [-541.366] (-576.654) * (-570.521) (-565.991) (-570.303) [-541.597] -- 0:02:30
824000 -- (-564.463) (-563.781) [-539.034] (-567.023) * (-570.240) (-576.610) (-562.074) [-544.682] -- 0:02:30
825000 -- (-563.700) (-573.623) [-539.224] (-575.778) * (-576.499) (-562.144) (-566.102) [-540.411] -- 0:02:29
Average standard deviation of split frequencies: 0.015619
826000 -- (-570.651) (-574.277) [-533.350] (-574.844) * (-566.161) (-574.536) (-563.861) [-536.770] -- 0:02:28
827000 -- (-561.047) (-564.942) [-539.211] (-569.544) * (-562.762) (-569.564) (-563.469) [-546.976] -- 0:02:27
828000 -- (-579.060) (-559.183) [-548.391] (-569.110) * (-564.884) (-573.068) (-564.713) [-536.476] -- 0:02:26
829000 -- (-562.517) (-566.989) [-535.625] (-573.315) * (-560.015) (-569.001) (-565.854) [-542.295] -- 0:02:25
830000 -- (-565.471) (-567.961) [-541.590] (-566.409) * (-557.276) (-574.272) (-572.239) [-536.885] -- 0:02:25
Average standard deviation of split frequencies: 0.015113
831000 -- (-561.799) (-564.773) [-533.567] (-570.047) * (-558.271) (-569.502) (-571.849) [-537.642] -- 0:02:24
832000 -- (-561.741) (-568.236) [-540.421] (-571.218) * (-571.314) (-568.989) (-583.810) [-538.538] -- 0:02:23
833000 -- (-568.140) (-572.816) [-543.002] (-562.006) * (-576.398) (-570.365) (-592.032) [-537.167] -- 0:02:22
834000 -- (-565.894) (-570.892) [-537.126] (-568.438) * (-578.717) (-572.412) (-575.071) [-535.648] -- 0:02:21
835000 -- (-562.226) (-566.907) [-538.037] (-560.398) * (-566.285) (-573.581) (-578.070) [-538.895] -- 0:02:20
Average standard deviation of split frequencies: 0.014780
836000 -- (-560.240) (-566.611) [-537.855] (-555.872) * (-575.715) (-570.116) (-575.729) [-535.741] -- 0:02:19
837000 -- (-565.141) (-566.034) [-542.451] (-554.705) * (-561.565) (-574.184) (-572.206) [-539.126] -- 0:02:19
838000 -- (-568.106) (-561.826) [-546.892] (-556.326) * (-566.112) (-574.676) (-574.127) [-532.378] -- 0:02:18
839000 -- (-562.673) (-564.305) [-545.839] (-556.118) * (-563.553) (-588.646) (-586.906) [-535.405] -- 0:02:17
840000 -- (-576.803) (-563.634) [-536.493] (-549.687) * (-570.194) (-580.490) (-580.927) [-542.727] -- 0:02:16
Average standard deviation of split frequencies: 0.014491
841000 -- (-574.067) (-560.656) [-534.819] (-555.861) * (-563.515) (-576.083) (-591.738) [-539.279] -- 0:02:15
842000 -- (-578.176) (-561.976) [-538.753] (-556.262) * (-550.773) (-578.009) (-582.189) [-547.655] -- 0:02:14
843000 -- (-582.368) (-567.067) [-535.370] (-559.737) * (-556.974) (-576.306) (-584.115) [-547.123] -- 0:02:13
844000 -- (-584.982) (-563.616) [-538.442] (-559.069) * (-561.503) (-584.306) (-576.946) [-539.211] -- 0:02:13
845000 -- (-582.587) (-564.260) [-536.344] (-564.747) * (-561.463) (-591.089) (-578.329) [-533.196] -- 0:02:12
Average standard deviation of split frequencies: 0.014106
846000 -- (-589.353) (-565.050) [-536.517] (-558.452) * (-562.157) (-593.320) (-567.196) [-530.928] -- 0:02:11
847000 -- (-584.809) (-558.202) [-536.086] (-562.471) * (-559.883) (-599.790) (-570.054) [-532.695] -- 0:02:10
848000 -- (-580.174) (-566.790) [-543.318] (-559.263) * (-566.415) (-582.661) (-567.944) [-533.362] -- 0:02:09
849000 -- (-578.929) (-570.556) [-539.219] (-558.985) * (-570.878) (-589.663) (-568.941) [-535.321] -- 0:02:08
850000 -- (-569.537) (-567.707) [-540.711] (-563.512) * (-570.226) (-588.533) (-566.942) [-539.782] -- 0:02:07
Average standard deviation of split frequencies: 0.013621
851000 -- (-575.025) (-568.780) [-541.190] (-577.901) * (-567.323) (-586.915) (-564.542) [-543.003] -- 0:02:07
852000 -- (-563.799) (-572.976) [-533.221] (-574.454) * (-577.610) (-591.345) (-571.598) [-541.239] -- 0:02:06
853000 -- (-567.406) (-574.203) [-541.717] (-580.726) * (-577.607) (-582.220) (-565.394) [-537.789] -- 0:02:05
854000 -- (-568.795) (-577.797) [-536.565] (-579.835) * (-573.842) (-584.921) (-559.594) [-538.770] -- 0:02:04
855000 -- (-577.423) (-580.061) [-536.692] (-572.407) * (-575.371) (-568.639) (-571.079) [-539.178] -- 0:02:03
Average standard deviation of split frequencies: 0.012956
856000 -- (-576.304) (-576.713) [-543.762] (-584.585) * (-578.278) (-570.500) (-583.924) [-533.409] -- 0:02:02
857000 -- (-562.746) (-576.652) [-545.484] (-569.520) * (-584.551) (-579.207) (-579.913) [-535.440] -- 0:02:01
858000 -- (-564.218) (-581.404) [-541.794] (-564.516) * (-579.786) (-574.829) (-577.844) [-535.473] -- 0:02:01
859000 -- (-569.567) (-578.565) [-538.832] (-554.034) * (-582.468) (-569.704) (-577.096) [-537.585] -- 0:02:00
860000 -- (-569.402) (-573.130) [-535.676] (-572.419) * (-589.095) (-560.915) (-566.209) [-533.309] -- 0:01:59
Average standard deviation of split frequencies: 0.012540
861000 -- (-571.718) (-574.896) [-535.608] (-559.849) * (-583.162) (-563.136) (-572.445) [-530.357] -- 0:01:58
862000 -- (-576.015) (-571.738) [-536.681] (-569.726) * (-562.980) (-581.625) (-576.629) [-531.142] -- 0:01:57
863000 -- (-581.290) (-562.907) [-535.079] (-570.652) * (-559.327) (-577.963) (-568.780) [-534.046] -- 0:01:56
864000 -- (-587.039) (-565.504) [-535.635] (-575.904) * (-561.602) (-575.757) (-577.038) [-538.144] -- 0:01:56
865000 -- (-580.089) (-567.122) [-541.226] (-561.710) * (-565.479) (-577.983) (-563.656) [-538.359] -- 0:01:55
Average standard deviation of split frequencies: 0.012148
866000 -- (-582.433) (-564.069) [-543.851] (-559.894) * (-569.596) (-568.795) (-561.244) [-546.629] -- 0:01:54
867000 -- (-567.937) (-565.204) [-543.628] (-553.264) * (-555.469) (-571.432) (-565.412) [-540.003] -- 0:01:53
868000 -- (-586.613) (-571.717) [-553.998] (-559.733) * (-558.417) (-571.695) (-566.305) [-536.606] -- 0:01:52
869000 -- (-572.833) (-567.797) [-542.488] (-555.019) * (-566.602) (-576.486) (-569.503) [-536.867] -- 0:01:51
870000 -- (-572.174) (-562.112) [-541.088] (-558.868) * (-569.788) (-580.100) (-566.813) [-543.755] -- 0:01:50
Average standard deviation of split frequencies: 0.011569
871000 -- (-568.383) (-569.174) [-536.479] (-561.807) * (-566.119) (-573.942) (-571.970) [-529.847] -- 0:01:50
872000 -- (-562.203) (-578.491) [-536.479] (-559.023) * (-565.662) (-576.063) (-588.455) [-533.460] -- 0:01:49
873000 -- (-562.559) (-579.150) [-543.824] (-554.800) * (-555.713) (-578.121) (-581.085) [-538.221] -- 0:01:48
874000 -- (-570.983) (-566.622) [-551.288] (-560.113) * (-555.359) (-574.748) (-573.697) [-535.149] -- 0:01:47
875000 -- (-575.014) (-573.244) [-548.382] (-559.201) * (-565.534) (-585.764) (-578.305) [-540.546] -- 0:01:46
Average standard deviation of split frequencies: 0.011329
876000 -- (-568.953) (-568.703) [-540.680] (-564.507) * (-558.529) (-582.545) (-574.396) [-540.832] -- 0:01:45
877000 -- (-583.762) (-551.909) [-540.541] (-567.288) * (-555.571) (-577.509) (-585.483) [-546.385] -- 0:01:44
878000 -- (-574.220) (-560.807) [-544.898] (-571.603) * (-565.219) (-578.336) (-576.344) [-542.609] -- 0:01:44
879000 -- (-581.102) (-561.030) [-558.452] (-571.334) * (-557.220) (-578.409) (-579.063) [-541.223] -- 0:01:43
880000 -- (-568.464) (-566.332) [-556.341] (-564.991) * (-550.581) (-575.969) (-582.905) [-539.228] -- 0:01:42
Average standard deviation of split frequencies: 0.011579
881000 -- (-572.890) (-568.578) [-555.408] (-564.271) * (-553.565) (-584.427) (-586.378) [-534.679] -- 0:01:41
882000 -- (-571.691) (-571.522) [-545.331] (-577.939) * (-554.150) (-588.093) (-586.741) [-539.612] -- 0:01:40
883000 -- (-565.687) (-575.731) [-550.716] (-572.187) * (-552.987) (-594.017) (-583.576) [-540.896] -- 0:01:39
884000 -- (-565.468) (-571.484) [-554.800] (-573.836) * (-558.084) (-585.673) (-576.489) [-540.391] -- 0:01:38
885000 -- (-557.793) (-565.284) [-547.939] (-571.486) * (-562.248) (-581.347) (-574.522) [-541.299] -- 0:01:38
Average standard deviation of split frequencies: 0.012237
886000 -- (-561.282) (-575.263) [-550.992] (-567.728) * (-573.009) (-584.181) (-584.530) [-542.019] -- 0:01:37
887000 -- (-581.185) (-573.655) [-542.521] (-562.889) * (-567.200) (-574.719) (-572.413) [-537.631] -- 0:01:36
888000 -- (-567.175) (-569.825) [-537.080] (-560.757) * (-566.763) (-582.420) (-571.259) [-536.385] -- 0:01:35
889000 -- (-587.219) (-586.889) [-542.358] (-556.964) * (-563.915) (-573.375) (-567.841) [-532.099] -- 0:01:34
890000 -- (-576.804) (-576.984) [-542.582] (-573.027) * (-563.725) (-578.411) (-571.229) [-533.836] -- 0:01:33
Average standard deviation of split frequencies: 0.012201
891000 -- (-568.110) (-578.612) [-542.425] (-565.206) * (-554.967) (-565.959) (-566.040) [-535.249] -- 0:01:32
892000 -- (-574.059) (-581.477) [-536.134] (-565.135) * (-567.185) (-570.080) (-568.394) [-534.027] -- 0:01:32
893000 -- (-570.882) (-570.168) [-539.604] (-567.315) * (-564.779) (-577.842) (-566.479) [-536.228] -- 0:01:31
894000 -- (-567.105) (-582.973) [-537.643] (-563.963) * (-562.992) (-582.780) (-565.061) [-541.660] -- 0:01:30
895000 -- (-570.950) (-569.545) [-540.704] (-566.480) * (-578.871) (-583.921) (-566.774) [-535.310] -- 0:01:29
Average standard deviation of split frequencies: 0.012322
896000 -- (-572.707) (-579.427) [-539.366] (-557.632) * (-572.326) (-575.936) (-582.878) [-535.415] -- 0:01:28
897000 -- (-566.962) (-571.420) [-542.359] (-570.220) * (-563.986) (-574.631) (-579.738) [-540.329] -- 0:01:27
898000 -- (-574.288) (-564.719) [-536.064] (-577.545) * (-567.051) (-570.918) (-573.269) [-535.298] -- 0:01:27
899000 -- (-567.800) (-562.836) [-543.203] (-566.806) * (-569.566) (-567.672) (-583.856) [-533.673] -- 0:01:26
900000 -- (-567.305) (-568.940) [-540.734] (-579.464) * (-566.041) (-575.943) (-580.435) [-532.188] -- 0:01:25
Average standard deviation of split frequencies: 0.011735
901000 -- (-571.805) (-563.119) [-540.747] (-571.339) * (-562.439) (-569.132) (-586.985) [-534.700] -- 0:01:24
902000 -- (-557.188) (-567.791) [-543.918] (-564.727) * (-566.757) (-577.112) (-574.900) [-533.646] -- 0:01:23
903000 -- (-562.176) (-560.884) [-542.934] (-564.847) * (-572.187) (-589.810) (-584.700) [-534.933] -- 0:01:22
904000 -- (-561.768) (-569.039) [-536.109] (-564.666) * (-570.658) (-592.348) (-574.636) [-532.855] -- 0:01:21
905000 -- (-558.374) (-572.332) [-534.243] (-563.075) * (-564.267) (-578.657) (-575.296) [-544.459] -- 0:01:21
Average standard deviation of split frequencies: 0.011529
906000 -- (-565.581) (-569.201) [-543.536] (-570.599) * (-563.235) (-570.345) (-575.079) [-535.447] -- 0:01:20
907000 -- (-561.848) (-567.467) [-543.089] (-571.996) * (-576.311) (-572.621) (-578.040) [-533.695] -- 0:01:19
908000 -- (-564.470) (-570.083) [-537.450] (-568.461) * (-581.242) (-576.289) (-577.784) [-539.630] -- 0:01:18
909000 -- (-561.409) (-562.391) [-539.141] (-567.515) * (-577.955) (-588.804) (-572.184) [-532.737] -- 0:01:17
910000 -- (-567.661) (-564.663) [-537.905] (-569.718) * (-570.298) (-590.061) (-578.334) [-535.075] -- 0:01:16
Average standard deviation of split frequencies: 0.011388
911000 -- (-561.274) (-562.020) [-548.752] (-563.586) * (-566.600) (-588.966) (-577.692) [-534.029] -- 0:01:15
912000 -- (-558.023) (-570.685) [-538.052] (-568.921) * (-571.286) (-574.455) (-579.763) [-539.050] -- 0:01:15
913000 -- (-558.077) (-568.508) [-553.363] (-565.335) * (-568.187) (-575.948) (-574.798) [-535.286] -- 0:01:14
914000 -- (-562.748) (-561.481) [-541.734] (-568.504) * (-569.984) (-584.635) (-577.039) [-533.676] -- 0:01:13
915000 -- (-561.134) (-563.183) [-544.051] (-560.619) * (-571.022) (-571.602) (-590.502) [-533.762] -- 0:01:12
Average standard deviation of split frequencies: 0.011214
916000 -- (-556.796) (-565.097) [-548.541] (-569.429) * (-561.468) (-569.866) (-585.720) [-531.798] -- 0:01:11
917000 -- (-555.016) (-560.226) [-553.019] (-560.125) * (-557.240) (-572.578) (-565.442) [-533.566] -- 0:01:10
918000 -- (-556.532) (-586.428) [-547.119] (-561.421) * (-559.237) (-568.565) (-566.252) [-540.342] -- 0:01:09
919000 -- (-552.737) (-578.337) [-536.789] (-556.257) * (-566.190) (-569.197) (-568.988) [-537.367] -- 0:01:09
920000 -- (-558.488) (-568.349) [-546.627] (-561.915) * (-566.796) (-571.939) (-574.477) [-532.564] -- 0:01:08
Average standard deviation of split frequencies: 0.011022
921000 -- (-553.305) (-572.107) [-541.552] (-557.689) * (-564.485) (-567.245) (-573.379) [-540.805] -- 0:01:07
922000 -- (-560.916) (-572.295) [-542.398] (-567.469) * (-567.084) (-572.537) (-568.160) [-539.152] -- 0:01:06
923000 -- (-560.020) (-568.093) [-554.462] (-565.118) * (-566.639) (-576.884) (-567.929) [-541.131] -- 0:01:05
924000 -- (-561.666) (-577.295) [-556.120] (-567.949) * (-560.832) (-571.638) (-577.266) [-538.048] -- 0:01:04
925000 -- (-558.981) (-571.442) [-557.439] (-565.790) * (-568.702) (-576.888) (-577.996) [-538.013] -- 0:01:03
Average standard deviation of split frequencies: 0.011226
926000 -- (-556.108) (-571.497) [-542.496] (-562.464) * (-559.004) (-571.782) (-575.129) [-550.325] -- 0:01:03
927000 -- (-567.783) (-567.048) [-543.565] (-558.577) * (-561.414) (-562.357) (-584.481) [-546.611] -- 0:01:02
928000 -- (-567.884) (-564.055) [-541.609] (-566.993) * (-556.336) (-568.261) (-564.828) [-535.263] -- 0:01:01
929000 -- (-564.552) (-569.280) [-538.710] (-565.312) * (-553.771) (-570.678) (-568.450) [-539.649] -- 0:01:00
930000 -- (-572.453) (-570.866) [-540.387] (-567.107) * (-555.497) (-573.462) (-568.625) [-537.948] -- 0:00:59
Average standard deviation of split frequencies: 0.011277
931000 -- (-573.971) (-576.852) [-550.444] (-563.528) * (-552.402) (-560.898) (-566.673) [-543.683] -- 0:00:58
932000 -- (-565.413) (-585.537) [-541.897] (-563.193) * (-567.902) (-559.624) (-568.053) [-543.055] -- 0:00:58
933000 -- (-563.201) (-580.584) [-554.810] (-559.339) * (-571.348) (-563.018) (-558.243) [-538.403] -- 0:00:57
934000 -- (-563.278) (-577.188) [-551.819] (-574.935) * (-571.331) (-562.549) (-567.863) [-538.800] -- 0:00:56
935000 -- (-563.047) (-575.298) [-547.603] (-560.779) * (-571.131) (-564.700) (-564.748) [-542.482] -- 0:00:55
Average standard deviation of split frequencies: 0.011849
936000 -- (-573.198) (-569.003) [-543.336] (-554.179) * (-579.555) (-573.010) (-579.099) [-541.512] -- 0:00:54
937000 -- (-558.303) (-562.667) [-542.011] (-562.926) * (-577.015) (-564.153) (-587.357) [-534.817] -- 0:00:53
938000 -- (-570.312) (-569.441) [-538.538] (-562.946) * (-577.404) (-564.948) (-588.117) [-537.958] -- 0:00:52
939000 -- (-577.702) (-582.742) [-545.323] (-559.751) * (-577.924) (-569.205) (-587.823) [-535.983] -- 0:00:52
940000 -- (-581.234) (-584.291) [-542.923] (-570.063) * (-571.705) (-561.960) (-588.714) [-535.253] -- 0:00:51
Average standard deviation of split frequencies: 0.012502
941000 -- (-581.497) (-574.520) [-547.984] (-568.107) * (-572.358) (-563.685) (-587.464) [-538.966] -- 0:00:50
942000 -- (-572.663) (-556.043) [-545.839] (-575.078) * (-566.594) (-570.392) (-577.257) [-539.231] -- 0:00:49
943000 -- (-577.774) (-552.020) [-543.013] (-567.404) * (-565.202) (-558.359) (-572.334) [-540.045] -- 0:00:48
944000 -- (-570.299) (-560.174) [-539.135] (-561.553) * (-560.678) (-559.124) (-580.263) [-542.209] -- 0:00:47
945000 -- (-577.119) (-562.192) [-533.260] (-557.165) * (-564.349) (-567.389) (-585.592) [-536.994] -- 0:00:46
Average standard deviation of split frequencies: 0.013245
946000 -- (-569.180) (-560.943) [-529.633] (-554.526) * (-565.103) (-571.625) (-582.872) [-541.891] -- 0:00:46
947000 -- (-565.754) (-558.762) [-538.585] (-556.703) * (-565.110) (-575.207) (-581.301) [-546.684] -- 0:00:45
948000 -- (-562.264) (-557.490) [-531.204] (-564.769) * (-567.917) (-568.473) (-581.255) [-546.058] -- 0:00:44
949000 -- (-561.302) (-563.147) [-538.162] (-567.945) * (-553.862) (-577.670) (-598.204) [-545.789] -- 0:00:43
950000 -- (-571.896) (-562.944) [-541.474] (-565.728) * (-565.758) (-566.505) (-595.697) [-539.474] -- 0:00:42
Average standard deviation of split frequencies: 0.013545
951000 -- (-584.066) (-557.114) [-549.017] (-563.548) * (-576.129) (-574.481) (-598.130) [-541.076] -- 0:00:41
952000 -- (-568.813) (-562.977) [-543.779] (-564.860) * (-571.111) (-593.054) (-594.204) [-540.800] -- 0:00:40
953000 -- (-568.758) (-561.700) [-549.984] (-571.347) * (-560.851) (-595.382) (-584.488) [-544.775] -- 0:00:40
954000 -- (-566.964) (-560.654) [-548.771] (-570.254) * (-562.396) (-594.130) (-591.958) [-534.252] -- 0:00:39
955000 -- (-569.090) (-553.549) [-551.049] (-572.862) * (-561.124) (-592.434) (-589.950) [-537.683] -- 0:00:38
Average standard deviation of split frequencies: 0.014014
956000 -- (-574.804) (-561.158) [-549.116] (-567.903) * (-560.410) (-594.357) (-583.378) [-545.387] -- 0:00:37
957000 -- (-582.999) (-560.564) [-540.768] (-568.627) * (-560.595) (-606.758) (-594.246) [-535.270] -- 0:00:36
958000 -- (-568.029) (-567.040) [-543.606] (-556.400) * (-561.710) (-594.085) (-591.324) [-533.297] -- 0:00:35
959000 -- (-571.583) (-565.016) [-537.400] (-557.210) * (-560.318) (-591.043) (-580.528) [-542.199] -- 0:00:34
960000 -- (-583.465) (-559.584) [-542.857] (-554.209) * (-558.965) (-573.941) (-576.152) [-540.963] -- 0:00:34
Average standard deviation of split frequencies: 0.014776
961000 -- (-583.841) (-561.418) [-541.010] (-554.290) * (-564.219) (-578.721) (-584.666) [-539.695] -- 0:00:33
962000 -- (-604.363) (-562.581) [-538.052] (-560.190) * (-555.610) (-592.303) (-580.243) [-549.564] -- 0:00:32
963000 -- (-599.038) (-561.844) [-539.795] (-560.397) * (-553.704) (-577.446) (-577.033) [-548.749] -- 0:00:31
964000 -- (-578.673) (-556.799) [-536.905] (-562.135) * (-557.502) (-589.449) (-581.595) [-545.537] -- 0:00:30
965000 -- (-584.396) (-566.157) [-537.263] (-559.544) * (-553.120) (-594.416) (-576.239) [-544.680] -- 0:00:29
Average standard deviation of split frequencies: 0.014911
966000 -- (-583.607) (-563.118) [-535.482] (-573.808) * (-548.269) (-590.567) (-589.126) [-543.782] -- 0:00:29
967000 -- (-567.225) (-557.664) [-544.794] (-568.325) * (-556.254) (-600.654) (-587.685) [-542.346] -- 0:00:28
968000 -- (-569.204) (-566.750) [-540.163] (-566.638) * (-551.613) (-582.692) (-567.312) [-547.755] -- 0:00:27
969000 -- (-572.673) (-557.547) [-538.861] (-564.632) * (-563.130) (-570.337) (-572.431) [-542.354] -- 0:00:26
970000 -- (-570.586) (-563.086) [-545.314] (-559.713) * (-578.402) (-573.147) (-575.908) [-530.749] -- 0:00:25
Average standard deviation of split frequencies: 0.015298
971000 -- (-565.123) (-567.986) [-553.287] (-568.361) * (-592.685) (-564.065) (-577.862) [-535.397] -- 0:00:24
972000 -- (-565.559) (-575.184) [-544.776] (-563.222) * (-574.657) (-572.733) (-586.491) [-536.876] -- 0:00:23
973000 -- (-567.256) (-577.329) [-541.280] (-564.001) * (-585.519) (-569.973) (-585.681) [-538.037] -- 0:00:23
974000 -- (-568.675) (-573.627) [-537.828] (-559.762) * (-581.912) (-563.068) (-585.251) [-541.999] -- 0:00:22
975000 -- (-572.384) (-569.863) [-537.650] (-567.607) * (-576.184) (-568.168) (-587.746) [-540.429] -- 0:00:21
Average standard deviation of split frequencies: 0.015724
976000 -- (-564.073) (-570.395) [-536.389] (-570.317) * (-568.592) (-565.836) (-576.256) [-538.167] -- 0:00:20
977000 -- (-564.161) (-567.662) [-539.934] (-565.724) * (-554.233) (-557.757) (-562.667) [-533.538] -- 0:00:19
978000 -- (-556.242) (-564.387) [-536.669] (-575.944) * (-559.291) (-574.767) (-574.548) [-538.614] -- 0:00:18
979000 -- (-561.256) (-562.372) [-542.030] (-555.400) * (-563.119) (-565.537) (-570.088) [-537.507] -- 0:00:17
980000 -- (-563.664) (-571.517) [-537.050] (-555.540) * (-559.388) (-574.170) (-564.095) [-539.481] -- 0:00:17
Average standard deviation of split frequencies: 0.015569
981000 -- (-577.199) (-562.740) [-537.743] (-559.798) * (-565.057) (-581.385) (-568.227) [-544.845] -- 0:00:16
982000 -- (-584.762) (-561.690) [-541.472] (-563.982) * (-575.032) (-575.085) (-566.140) [-536.569] -- 0:00:15
983000 -- (-580.979) (-565.751) [-536.295] (-560.572) * (-572.847) (-577.100) (-570.375) [-533.988] -- 0:00:14
984000 -- (-576.200) (-560.535) [-533.427] (-553.664) * (-563.078) (-574.746) (-570.001) [-538.510] -- 0:00:13
985000 -- (-574.285) (-565.415) [-534.238] (-554.437) * (-565.460) (-579.753) (-585.371) [-534.883] -- 0:00:12
Average standard deviation of split frequencies: 0.015405
986000 -- (-580.308) (-574.662) [-536.135] (-558.457) * (-572.215) (-585.876) (-576.877) [-534.748] -- 0:00:11
987000 -- (-571.985) (-568.390) [-533.572] (-563.281) * (-560.056) (-576.232) (-571.164) [-533.154] -- 0:00:11
988000 -- (-586.996) (-567.444) [-535.036] (-561.025) * (-568.745) (-583.231) (-583.493) [-532.125] -- 0:00:10
989000 -- (-575.327) (-569.607) [-533.701] (-568.443) * (-571.316) (-581.625) (-580.139) [-539.205] -- 0:00:09
990000 -- (-601.315) (-566.028) [-537.357] (-557.368) * (-568.148) (-582.171) (-576.824) [-538.237] -- 0:00:08
Average standard deviation of split frequencies: 0.015465
991000 -- (-580.373) (-561.157) [-536.550] (-555.982) * (-567.335) (-585.734) (-565.630) [-540.128] -- 0:00:07
992000 -- (-563.625) (-570.146) [-535.323] (-575.834) * (-560.945) (-580.207) (-578.306) [-536.021] -- 0:00:06
993000 -- (-561.774) (-565.061) [-538.605] (-573.388) * (-567.054) (-592.541) (-578.489) [-528.574] -- 0:00:05
994000 -- (-562.329) (-567.397) [-537.602] (-562.276) * (-583.615) (-581.678) (-572.285) [-532.591] -- 0:00:05
995000 -- (-574.406) (-573.693) [-539.802] (-560.235) * (-576.678) (-566.359) (-559.042) [-536.153] -- 0:00:04
Average standard deviation of split frequencies: 0.015303
996000 -- (-574.165) (-586.359) [-544.806] (-561.989) * (-573.197) (-572.337) (-571.750) [-538.360] -- 0:00:03
997000 -- (-581.093) (-574.326) [-545.100] (-562.735) * (-572.117) (-569.689) (-582.760) [-541.519] -- 0:00:02
998000 -- (-574.542) (-569.774) [-546.311] (-563.211) * (-581.962) (-573.665) (-584.734) [-546.497] -- 0:00:01
999000 -- (-569.749) (-578.485) [-541.789] (-568.849) * (-570.507) (-566.014) (-590.622) [-540.417] -- 0:00:00
1000000 -- (-576.659) (-569.534) [-531.785] (-573.918) * (-577.942) (-565.096) (-580.264) [-543.362] -- 0:00:00
Average standard deviation of split frequencies: 0.014852
Analysis completed in 14 mins 13 seconds
Analysis used 852.31 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -524.66
Likelihood of best state for "cold" chain of run 2 was -542.19
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
74.3 % ( 71 %) Dirichlet(Revmat{all})
86.2 % ( 77 %) Slider(Revmat{all})
40.5 % ( 33 %) Dirichlet(Pi{all})
40.5 % ( 32 %) Slider(Pi{all})
79.9 % ( 52 %) Multiplier(Alpha{1,2})
72.5 % ( 40 %) Multiplier(Alpha{3})
81.4 % ( 61 %) Slider(Pinvar{all})
84.6 % ( 82 %) ExtSPR(Tau{all},V{all})
82.4 % ( 85 %) ExtTBR(Tau{all},V{all})
89.3 % ( 93 %) NNI(Tau{all},V{all})
61.2 % ( 64 %) ParsSPR(Tau{all},V{all})
27.7 % ( 21 %) Multiplier(V{all})
90.5 % ( 96 %) Nodeslider(V{all})
28.2 % ( 24 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
73.1 % ( 68 %) Dirichlet(Revmat{all})
86.2 % ( 82 %) Slider(Revmat{all})
41.6 % ( 37 %) Dirichlet(Pi{all})
40.7 % ( 24 %) Slider(Pi{all})
80.0 % ( 63 %) Multiplier(Alpha{1,2})
73.2 % ( 41 %) Multiplier(Alpha{3})
82.5 % ( 67 %) Slider(Pinvar{all})
84.7 % ( 87 %) ExtSPR(Tau{all},V{all})
82.3 % ( 79 %) ExtTBR(Tau{all},V{all})
89.0 % ( 87 %) NNI(Tau{all},V{all})
61.1 % ( 52 %) ParsSPR(Tau{all},V{all})
27.7 % ( 20 %) Multiplier(V{all})
90.6 % ( 91 %) Nodeslider(V{all})
28.5 % ( 31 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.00 0.00 0.00
2 | 166801 0.06 0.00
3 | 166137 166780 0.16
4 | 166495 166815 166972
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.00 0.00 0.00
2 | 166586 0.06 0.00
3 | 166841 166149 0.16
4 | 167002 166906 166516
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)
+------------------------------------------------------------+ -534.95
| 2 2 2 2 1 22 |
| 2 1 1 2 1 11* 2 2 |
|2 1 1 1 2 2 2 1 2* 21 222 22 2 *2|
| 2 1* 2 * 11 2211 1 22 22 1 |
| * 1 2 2 1 1 2 2 1 1 11 1 *2 1|
| 2 2 *1 1 1 2 2 1 2 * |
|1 2 1 1 2 1 1 1 |
| 2 1 1 1 |
| 2 2 1 |
| 1 1 2 1 2 |
| 1 |
| 2 1 1 |
| 1 2 2 1 |
| |
| 11 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -551.62
^ ^
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 -532.13 -560.07
2 -531.78 -555.69
--------------------------------------
TOTAL -531.94 -559.39
--------------------------------------
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} 0.074261 0.000477 0.036760 0.117549 0.071988 546.48 829.50 1.000
r(A<->C){all} 0.186279 0.006539 0.039189 0.339562 0.177901 125.89 128.68 1.000
r(A<->G){all} 0.178280 0.006458 0.031830 0.328732 0.170397 88.54 115.66 1.000
r(A<->T){all} 0.064797 0.002482 0.000459 0.161359 0.051493 91.74 132.44 1.005
r(C<->G){all} 0.167686 0.008038 0.023233 0.343755 0.152613 78.45 82.54 1.000
r(C<->T){all} 0.279117 0.009374 0.097865 0.457902 0.270681 112.22 117.28 1.011
r(G<->T){all} 0.123841 0.004768 0.016067 0.267210 0.111630 100.81 100.92 1.000
pi(A){all} 0.276738 0.000678 0.226771 0.325902 0.275961 569.16 651.51 1.000
pi(C){all} 0.207460 0.000559 0.160488 0.253013 0.207065 716.35 785.40 1.000
pi(G){all} 0.186659 0.000521 0.143463 0.231569 0.186135 641.49 731.81 1.000
pi(T){all} 0.329144 0.000752 0.274447 0.381098 0.328438 611.29 660.78 1.000
alpha{1,2} 0.394779 0.315248 0.000076 1.426753 0.203088 632.67 678.40 1.001
alpha{3} 1.514986 1.345134 0.005223 3.767905 1.231528 703.19 790.79 1.000
pinvar{all} 0.570862 0.042215 0.142461 0.889158 0.615789 228.80 246.90 1.002
------------------------------------------------------------------------------------------------------
* 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 -- C44
40 -- C45
41 -- C46
42 -- C47
43 -- C48
44 -- C49
45 -- C5
46 -- C50
47 -- C51
48 -- C52
49 -- C53
50 -- C54
51 -- C55
52 -- C56
53 -- C57
54 -- C58
55 -- C59
56 -- C6
57 -- C60
58 -- C7
59 -- C8
60 -- 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 -- ..............*.............................*..........*.*..
------------------------------------------------------------------
Summary statistics for informative taxon bipartitions
(saved to file "/data/mrbayes_input.nex.tstat"):
ID #obs Probab. Sd(s)+ Min(s) Max(s) Nruns
----------------------------------------------------------------
61 3002 1.000000 0.000000 1.000000 1.000000 2
62 2940 0.979347 0.006595 0.974684 0.984011 2
63 2798 0.932045 0.029208 0.911392 0.952698 2
64 2722 0.906729 0.024497 0.889407 0.924051 2
65 2426 0.808128 0.041456 0.778814 0.837442 2
66 2366 0.788141 0.036745 0.762159 0.814124 2
67 1512 0.503664 0.042398 0.473684 0.533644 2
68 633 0.210859 0.008951 0.204530 0.217189 2
69 620 0.206529 0.001884 0.205197 0.207861 2
70 619 0.206196 0.007066 0.201199 0.211193 2
71 618 0.205863 0.000942 0.205197 0.206529 2
72 606 0.201865 0.008480 0.195869 0.207861 2
73 600 0.199867 0.000942 0.199201 0.200533 2
74 592 0.197202 0.009422 0.190540 0.203864 2
75 586 0.195203 0.004711 0.191872 0.198534 2
76 566 0.188541 0.006595 0.183877 0.193205 2
77 564 0.187875 0.001884 0.186542 0.189207 2
78 311 0.103598 0.040043 0.075283 0.131912 2
79 284 0.094604 0.010364 0.087275 0.101932 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] 0.000539 0.000000 0.000000 0.001623 0.000371 1.000 2
length{all}[2] 0.000529 0.000000 0.000000 0.001712 0.000327 1.000 2
length{all}[3] 0.001091 0.000001 0.000044 0.002800 0.000856 1.002 2
length{all}[4] 0.000547 0.000000 0.000001 0.001716 0.000351 1.000 2
length{all}[5] 0.000530 0.000000 0.000000 0.001620 0.000354 1.000 2
length{all}[6] 0.001129 0.000001 0.000019 0.002852 0.000916 1.001 2
length{all}[7] 0.000572 0.000000 0.000000 0.001758 0.000380 1.000 2
length{all}[8] 0.000533 0.000000 0.000000 0.001729 0.000360 1.000 2
length{all}[9] 0.002574 0.000002 0.000488 0.005361 0.002268 1.000 2
length{all}[10] 0.000539 0.000000 0.000000 0.001641 0.000362 1.002 2
length{all}[11] 0.000559 0.000000 0.000000 0.001723 0.000373 1.001 2
length{all}[12] 0.000526 0.000000 0.000000 0.001630 0.000349 1.001 2
length{all}[13] 0.000559 0.000000 0.000000 0.001694 0.000389 1.000 2
length{all}[14] 0.000543 0.000000 0.000000 0.001696 0.000357 1.002 2
length{all}[15] 0.001134 0.000001 0.000014 0.002712 0.000934 1.000 2
length{all}[16] 0.000570 0.000000 0.000000 0.001674 0.000400 1.000 2
length{all}[17] 0.000543 0.000000 0.000000 0.001708 0.000361 1.000 2
length{all}[18] 0.000561 0.000000 0.000000 0.001719 0.000357 1.000 2
length{all}[19] 0.000564 0.000000 0.000001 0.001719 0.000388 1.002 2
length{all}[20] 0.000536 0.000000 0.000000 0.001650 0.000364 1.002 2
length{all}[21] 0.000580 0.000000 0.000000 0.001799 0.000397 1.001 2
length{all}[22] 0.000558 0.000000 0.000001 0.001704 0.000379 1.000 2
length{all}[23] 0.000549 0.000000 0.000000 0.001668 0.000377 1.000 2
length{all}[24] 0.000593 0.000000 0.000000 0.001889 0.000379 1.001 2
length{all}[25] 0.000542 0.000000 0.000000 0.001768 0.000349 1.000 2
length{all}[26] 0.000562 0.000000 0.000000 0.001699 0.000375 1.001 2
length{all}[27] 0.000568 0.000000 0.000000 0.001863 0.000360 1.001 2
length{all}[28] 0.000542 0.000000 0.000000 0.001625 0.000352 1.000 2
length{all}[29] 0.000539 0.000000 0.000000 0.001737 0.000343 1.000 2
length{all}[30] 0.000544 0.000000 0.000001 0.001635 0.000369 1.000 2
length{all}[31] 0.000563 0.000000 0.000000 0.001755 0.000364 1.001 2
length{all}[32] 0.000547 0.000000 0.000000 0.001712 0.000352 1.000 2
length{all}[33] 0.000518 0.000000 0.000000 0.001590 0.000341 1.000 2
length{all}[34] 0.000529 0.000000 0.000000 0.001613 0.000346 1.001 2
length{all}[35] 0.000556 0.000000 0.000000 0.001735 0.000367 1.000 2
length{all}[36] 0.001129 0.000001 0.000018 0.002813 0.000889 1.000 2
length{all}[37] 0.000573 0.000000 0.000000 0.001748 0.000385 1.000 2
length{all}[38] 0.000499 0.000000 0.000000 0.001483 0.000332 1.001 2
length{all}[39] 0.000579 0.000000 0.000000 0.001770 0.000384 1.000 2
length{all}[40] 0.000562 0.000000 0.000001 0.001740 0.000373 1.001 2
length{all}[41] 0.000567 0.000000 0.000000 0.001775 0.000375 1.000 2
length{all}[42] 0.000555 0.000000 0.000000 0.001720 0.000370 1.002 2
length{all}[43] 0.000530 0.000000 0.000000 0.001644 0.000347 1.006 2
length{all}[44] 0.000555 0.000000 0.000000 0.001745 0.000363 1.001 2
length{all}[45] 0.000579 0.000000 0.000000 0.001762 0.000403 1.000 2
length{all}[46] 0.000537 0.000000 0.000001 0.001650 0.000361 1.000 2
length{all}[47] 0.000555 0.000000 0.000000 0.001706 0.000352 1.001 2
length{all}[48] 0.000541 0.000000 0.000000 0.001701 0.000344 1.003 2
length{all}[49] 0.000541 0.000000 0.000000 0.001654 0.000372 1.000 2
length{all}[50] 0.000536 0.000000 0.000000 0.001702 0.000348 1.000 2
length{all}[51] 0.000532 0.000000 0.000000 0.001644 0.000357 1.000 2
length{all}[52] 0.000550 0.000000 0.000000 0.001816 0.000341 1.001 2
length{all}[53] 0.000563 0.000000 0.000000 0.001771 0.000368 1.000 2
length{all}[54] 0.000538 0.000000 0.000000 0.001659 0.000356 1.000 2
length{all}[55] 0.000542 0.000000 0.000000 0.001700 0.000345 1.000 2
length{all}[56] 0.001224 0.000001 0.000044 0.003166 0.000940 1.003 2
length{all}[57] 0.000514 0.000000 0.000001 0.001604 0.000345 1.000 2
length{all}[58] 0.000647 0.000000 0.000000 0.002023 0.000447 1.003 2
length{all}[59] 0.001349 0.000001 0.000028 0.003235 0.001104 1.000 2
length{all}[60] 0.000552 0.000000 0.000000 0.001659 0.000369 1.000 2
length{all}[61] 0.001657 0.000001 0.000111 0.003878 0.001379 1.000 2
length{all}[62] 0.001157 0.000001 0.000029 0.002945 0.000937 1.005 2
length{all}[63] 0.001150 0.000001 0.000014 0.002983 0.000876 1.000 2
length{all}[64] 0.001097 0.000001 0.000030 0.002762 0.000885 1.000 2
length{all}[65] 0.001102 0.000001 0.000001 0.002864 0.000869 1.000 2
length{all}[66] 0.001078 0.000001 0.000003 0.002669 0.000877 1.000 2
length{all}[67] 0.001051 0.000001 0.000023 0.002635 0.000822 1.000 2
length{all}[68] 0.000538 0.000000 0.000000 0.001545 0.000380 0.998 2
length{all}[69] 0.000501 0.000000 0.000002 0.001482 0.000334 1.000 2
length{all}[70] 0.000567 0.000000 0.000000 0.001765 0.000360 0.999 2
length{all}[71] 0.000541 0.000000 0.000002 0.001696 0.000337 1.000 2
length{all}[72] 0.000547 0.000000 0.000000 0.001706 0.000382 0.998 2
length{all}[73] 0.000512 0.000000 0.000001 0.001527 0.000365 1.000 2
length{all}[74] 0.000555 0.000000 0.000000 0.001729 0.000369 0.998 2
length{all}[75] 0.000577 0.000000 0.000000 0.001716 0.000370 1.000 2
length{all}[76] 0.000559 0.000000 0.000000 0.001812 0.000369 0.999 2
length{all}[77] 0.000523 0.000000 0.000001 0.001509 0.000353 0.999 2
length{all}[78] 0.000918 0.000001 0.000001 0.002488 0.000719 1.002 2
length{all}[79] 0.001137 0.000001 0.000021 0.002684 0.000886 0.996 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 = 0.014852
Maximum standard deviation of split frequencies = 0.042398
Average PSRF for parameter values (excluding NA and >10.0) = 1.000
Maximum PSRF for parameter values = 1.006
Clade credibility values:
/---------------------------------------------------------------------- C1 (1)
|
|---------------------------------------------------------------------- C11 (3)
|
|---------------------------------------------------------------------- C12 (4)
|
|---------------------------------------------------------------------- C13 (5)
|
|---------------------------------------------------------------------- C14 (6)
|
|---------------------------------------------------------------------- C15 (7)
|
|---------------------------------------------------------------------- C18 (10)
|
|---------------------------------------------------------------------- C19 (11)
|
|---------------------------------------------------------------------- C20 (13)
|
|---------------------------------------------------------------------- C27 (20)
|
|---------------------------------------------------------------------- C3 (23)
|
|---------------------------------------------------------------------- C30 (24)
|
|---------------------------------------------------------------------- C31 (25)
|
|---------------------------------------------------------------------- C32 (26)
|
|---------------------------------------------------------------------- C33 (27)
|
|---------------------------------------------------------------------- C34 (28)
|
|---------------------------------------------------------------------- C35 (29)
|
|---------------------------------------------------------------------- C36 (30)
|
|---------------------------------------------------------------------- C38 (32)
|
|---------------------------------------------------------------------- C39 (33)
|
|---------------------------------------------------------------------- C4 (34)
|
|---------------------------------------------------------------------- C40 (35)
|
|---------------------------------------------------------------------- C41 (36)
|
|---------------------------------------------------------------------- C42 (37)
|
|---------------------------------------------------------------------- C43 (38)
|
|---------------------------------------------------------------------- C44 (39)
|
|---------------------------------------------------------------------- C45 (40)
|
|---------------------------------------------------------------------- C47 (42)
|
|---------------------------------------------------------------------- C48 (43)
|
|---------------------------------------------------------------------- C49 (44)
+
|---------------------------------------------------------------------- C50 (46)
|
|---------------------------------------------------------------------- C51 (47)
|
|---------------------------------------------------------------------- C52 (48)
|
|---------------------------------------------------------------------- C53 (49)
|
|---------------------------------------------------------------------- C54 (50)
|
|---------------------------------------------------------------------- C55 (51)
|
|---------------------------------------------------------------------- C58 (54)
|
|---------------------------------------------------------------------- C59 (55)
|
|---------------------------------------------------------------------- C60 (57)
|
| /---------------------------------------------------- C10 (2)
| |
| |---------------------------------------------------- C16 (8)
| |
| |---------------------------------------------------- C2 (12)
| |
| | /----------------- C21 (14)
| | |
| | |----------------- C23 (16)
| | /-------100-------+
| | | |----------------- C24 (17)
| | | |
| |-------93-------+ \----------------- C37 (31)
| | |
| | | /----------------- C25 (18)
| | \--------98-------+
|--------81-------+ \----------------- C26 (19)
| |
| | /----------------- C22 (15)
| |----------------91----------------+
| | \----------------- C5 (45)
| |
| |---------------------------------------------------- C28 (21)
| |
| |---------------------------------------------------- C29 (22)
| |
| |---------------------------------------------------- C46 (41)
| |
| |---------------------------------------------------- C56 (52)
| |
| |---------------------------------------------------- C57 (53)
| |
| \---------------------------------------------------- C9 (60)
|
| /----------------- C6 (56)
|-------------------------79-------------------------+
| \----------------- C7 (58)
|
| /----------------- C17 (9)
\-------------------------50-------------------------+
\----------------- C8 (59)
Phylogram (based on average branch lengths):
/------- C1 (1)
|
|----------------- C11 (3)
|
|------- C12 (4)
|
|------- C13 (5)
|
|------------------ C14 (6)
|
|-------- C15 (7)
|
|------- C18 (10)
|
|------- C19 (11)
|
|-------- C20 (13)
|
|------- C27 (20)
|
|------- C3 (23)
|
|-------- C30 (24)
|
|------- C31 (25)
|
|------- C32 (26)
|
|------- C33 (27)
|
|------- C34 (28)
|
|------- C35 (29)
|
|------- C36 (30)
|
|------- C38 (32)
|
|------- C39 (33)
|
|------- C4 (34)
|
|------- C40 (35)
|
|------------------ C41 (36)
|
|-------- C42 (37)
|
|------- C43 (38)
|
|-------- C44 (39)
|
|------- C45 (40)
|
|------- C47 (42)
|
|------- C48 (43)
|
|------- C49 (44)
+
|------- C50 (46)
|
|------- C51 (47)
|
|------- C52 (48)
|
|------- C53 (49)
|
|------- C54 (50)
|
|------- C55 (51)
|
|------- C58 (54)
|
|------- C59 (55)
|
|------- C60 (57)
|
| /------- C10 (2)
| |
| |------- C16 (8)
| |
| |------- C2 (12)
| |
| | /------- C21 (14)
| | |
| | |-------- C23 (16)
| | /--------------------------+
| | | |------- C24 (17)
| | | |
| |-----------------+ \------- C37 (31)
| | |
| | | /------- C25 (18)
| | \-----------------+
|----------------+ \-------- C26 (19)
| |
| | /------------------ C22 (15)
| |-----------------+
| | \-------- C5 (45)
| |
| |-------- C28 (21)
| |
| |-------- C29 (22)
| |
| |-------- C46 (41)
| |
| |------- C56 (52)
| |
| |-------- C57 (53)
| |
| \-------- C9 (60)
|
| /------------------- C6 (56)
|----------------+
| \--------- C7 (58)
|
| /--------------------------------------------- C17 (9)
\---------------+
\---------------------- C8 (59)
|--------| 0.001 expected changes per site
Calculating tree probabilities...
Credible sets of trees (3002 trees sampled):
50 % credible set contains 1501 trees
90 % credible set contains 2702 trees
95 % credible set contains 2852 trees
99 % credible set contains 2972 trees
Exiting mrbayes block
Reached end of file
Tasks completed, exiting program because mode is noninteractive
To return control to the command line after completion of file processing,
set mode to interactive with 'mb -i <filename>' (i is for interactive)
or use 'set mode=interactive'
Running FUBAR...
[2J[H /HYPHY 2.3.14.20190214beta(MP) for Linux on x86_64\
***************** TYPES OF STANDARD ANALYSES *****************
(1) Selection Analyses
(2) Evolutionary Hypothesis Testing
(3) Relative evolutionary rate inference
(4) Coevolutionary analysis
(5) Basic Analyses
(6) Codon Selection Analyses
(7) Compartmentalization
(8) Data File Tools
(9) Miscellaneous
(10) Model Comparison
(11) Kernel Analysis Tools
(12) Molecular Clock
(13) Phylogeny Reconstruction
(14) Positive Selection
(15) Recombination
(16) Selection/Recombination
(17) Relative Rate
(18) Relative Ratio
(19) Substitution Rates
Please select type of analyses you want to list (or press ENTER to process custom batch file):[2J[H***************** FILES IN 'Selection Analyses' *****************
(1) [MEME] Test for episodic site-level selection using MEME (Mixed Effects Model of Evolution).
(2) [FEL] Test for pervasive site-level selection using FEL (Fixed Effects Likelihood).
(3) [SLAC] Test for pervasive site-level selection using SLAC (Single Likelihood Ancestor Counting).
(4) [FUBAR] Test for pervasive site-level selection using FUBAR (Fast Unconstrained Bayesian AppRoximation for inferring selection).
(5) [BUSTED] Test for episodic gene-wide selection using BUSTED (Branch-site Unrestricted Statistical Test of Episodic Diversification).
(6) [aBSREL] Test for lineage-specific evolution using the branch-site method aBS-REL (Adaptive Branch-Site Random Effects Likelihood).
(7) [RELAX] Test for relaxation of selection pressure along a specified set of test branches using RELAX (a random effects test of selection relaxation).
Please select the analysis you would like to perform (or press ENTER to return to the list of analysis types):
Analysis Description
--------------------
Perform a Fast Unbiased AppRoximate Bayesian (FUBAR) analysis of a
coding sequence alignment to determine whether some sites have been
subject to pervasive purifying or diversifying selection. v2.1
introduces two more methods for estimating the posterior distribution of
grid weights: collapsed Gibbs MCMC (faster) and 0-th order Variation
Bayes approximation (fastest). Please note that a FUBAR analysis
generates a cache and a results JSON file in the same directory as
directory as the original alignment. HyPhy needs to have write
privileges to this directory. For example if the original file is in
/home/sergei/FUBAR/data/pol.nex then at the end of a FUBAR run, there
will also exist FUBAR-generated files
/home/sergei/FUBAR/data/pol.nex.FUBAR.json,
/home/sergei/FUBAR/data/pol.nex.fubrar.cache. They also provide
checkpointing so that a partially completed analysis can be restarted.
- __Requirements__: in-frame codon alignment (possibly partitioned) and a phylogenetic tree
(one per partition)
- __Citation__: FUBAR: a fast, unconstrained bayesian approximation for inferring
selection (2013), Mol Biol Evol. 30(5):1196-205
- __Written by__: Sergei L Kosakovsky Pond
- __Contact Information__: spond@temple.edu
- __Analysis Version__: 2.1
####Choose Genetic Code
1. [**Universal**] Universal code. (Genebank transl_table=1).
2. [**Vertebrate mtDNA**] Vertebrate mitochondrial DNA code. (Genebank transl_table=2).
3. [**Yeast mtDNA**] Yeast mitochondrial DNA code. (Genebank transl_table=3).
4. [**Mold/Protozoan mtDNA**] Mold, Protozoan and Coelenterate mitochondrial DNA and the Mycloplasma/Spiroplasma code. (Genebank transl_table=4).
5. [**Invertebrate mtDNA**] Invertebrate mitochondrial DNA code. (Genebank transl_table=5).
6. [**Ciliate Nuclear**] Ciliate, Dasycladacean and Hexamita Nuclear code. (Genebank transl_table=6).
7. [**Echinoderm mtDNA**] Echinoderm mitochondrial DNA code. (Genebank transl_table=9).
8. [**Euplotid Nuclear**] Euplotid Nuclear code. (Genebank transl_table=10).
9. [**Alt. Yeast Nuclear**] Alternative Yeast Nuclear code. (Genebank transl_table=12).
10. [**Ascidian mtDNA**] Ascidian mitochondrial DNA code. (Genebank transl_table=13).
11. [**Flatworm mtDNA**] Flatworm mitochondrial DNA code. (Genebank transl_table=14).
12. [**Blepharisma Nuclear**] Blepharisma Nuclear code. (Genebank transl_table=15).
13. [**Chlorophycean mtDNA**] Chlorophycean Mitochondrial Code (transl_table=16).
14. [**Trematode mtDNA**] Trematode Mitochondrial Code (transl_table=21).
15. [**Scenedesmus obliquus mtDNA**] Scenedesmus obliquus mitochondrial Code (transl_table=22).
16. [**Thraustochytrium mtDNA**] Thraustochytrium Mitochondrial Code (transl_table=23).
17. [**Pterobranchia mtDNA**] Pterobranchia Mitochondrial Code (transl_table=24).
18. [**SR1 and Gracilibacteria**] Candidate Division SR1 and Gracilibacteria Code (transl_table=25).
19. [**Pachysolen Nuclear**] Pachysolen tannophilus Nuclear Code (transl_table=26).
>Please choose an option (or press q to cancel selection):
>Select a coding sequence alignment file (`/usr/local/lib/hyphy/TemplateBatchFiles/SelectionAnalyses/`)
>A tree was found in the data file: `(C1,C11,C12,C13,C14,C15,C18,C19,C20,C27,C3,C30,C31,C32,C33,C34,C35,C36,C38,C39,C4,C40,C41,C42,C43,C44,C45,C47,C48,C49,C50,C51,C52,C53,C54,C55,C58,C59,C60,(C10,C16,C2,((C21,C23,C24,C37),(C25,C26)),(C22,C5),C28,C29,C46,C56,C57,C9),(C6,C7),(C17,C8))`
>Would you like to use it (y/n)?
>Loaded a multiple sequence alignment with **60** sequences, **94** codons, and **1** partitions from `/data//pss_subsets/NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/original_alignment/fubar/results/NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1/NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1.fna`
> FUBAR will write cache and result files to _/data//pss_subsets/NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/original_alignment/fubar/results/NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1/NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1.fna.FUBAR.cache_ and _/data//pss_subsets/NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/original_alignment/fubar/results/NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1/NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.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) = -507.32, AIC-c = 1165.31 (75 estimated parameters)
* Tree length (expected substitutions/site) for partition 1 : 0.061
### 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 = 0.500
* 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|
|:--------------:|:--------------:|:--------------:|:--------------:|:-----------------------------------:|
| 18 | 1 | 1.069 | 25.543 | Pos. posterior = 0.9876 |
----
## FUBAR inferred 1 sites subject to diversifying positive selection at posterior probability >= 0.9
Of these, 0.01 are expected to be false positives (95% confidence interval of 0-0 )
CLUSTAL FORMAT for T-COFFEE Version_12.00.7fb08c2 [http://www.tcoffee.org] [MODE: ], CPU=0.10 sec, SCORE=1000, Nseq=60, Len=94
CHN_AH_2004_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154431_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_HB_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154438_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRRDDVPELIDPLVKTRCFAYSLVVLANANP
CHN_HN_2014_NS6_ALS54089_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_JS_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154445_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKLHIRRDDVPELIDPLVKTRCFAYSLVVLANANP
CHN_Tianjin_2016_NS6_APG38201_1_2016_China_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKLHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CH_Sichuan_S27_2012_NS6_AKQ63086_1_2012_China_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKLHIRREDVPELIDPLVKTRCFAYSLVVLANANP
HKU15_155_NS6_AFD29197_1_2010_China_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
HKU15_44_NS6_YP_005352834_1_2009_China_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRRDDVPELIDPLVKTRCFAYSLVVLANANP
CHN_AH_2004_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154431_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU150 MCNCHLQLRDLYRLCNKRHIRRDDVPELIDPLVKTRCFAYSLVVLANANP
CHN_AH_2004_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154431_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU151 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_AH_2004_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154431_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU152 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_AH_2004_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154431_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU153 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_AH_2004_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154431_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU154 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_AH_2004_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154431_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU155 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_AH_2004_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154431_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU156 MCNCHLQLRDLYRLCNKRHIRRDDVPELIDPLVKTRCFAYSLVVLANANP
CHN_AH_2004_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154431_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU157 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_AH_2004_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154431_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU158 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_AH_2004_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154431_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU159 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_HB_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154438_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU150 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_HB_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154438_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU151 MCNCHLQLRDLYRLCNKRHIRRDDVPELIDPLVKTRCFAYSLVVLANANP
CHN_HB_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154438_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU152 MCNCHLQLRDLYRLCNKLHIRRDDVPELIDPLVKTRCFAYSLVVLANANP
CHN_HB_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154438_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU153 MCNCHLQLRDLYRLCNKRHIRRDDVPELIDPLVKTRCFAYSLVVLANANP
CHN_HB_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154438_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU154 MCNCHLQLRDLYRLCNKRHIRRDDVPELIDPLVKTRCFAYSLVVLANANP
CHN_HB_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154438_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU155 MCNCHLQLRDLYRLCNKQHIRRDDVPELIDPLVKTRCFAYSLVVLANANP
CHN_HB_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154438_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU156 MCNCHLQLRDLYRLCNKQHIRRDDVPELIDPLVKTRCFAYSLVVLANANP
CHN_HB_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154438_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU157 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_HB_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154438_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU158 MCNCHLQLRDLYRLCNKRHIRRDDVPELIDPLVKTRCFAYSLVVLANANP
CHN_HB_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154438_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU159 MCNCHLQLRDLYRLCNKRHIRRDDVPELIDPLVKTRCFAYSLVVLANANP
CHN_HN_2014_NS6_ALS54089_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU150 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_HN_2014_NS6_ALS54089_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU151 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_HN_2014_NS6_ALS54089_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU152 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_HN_2014_NS6_ALS54089_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU153 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_HN_2014_NS6_ALS54089_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU154 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_HN_2014_NS6_ALS54089_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU155 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_HN_2014_NS6_ALS54089_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU156 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_HN_2014_NS6_ALS54089_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU157 MCNCHLQLRDLYRLCNKRHIRRDDVPELIDPLVKTRCFAYSLVVLANANP
CHN_HN_2014_NS6_ALS54089_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU158 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_HN_2014_NS6_ALS54089_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU159 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_JS_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154445_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU150 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_JS_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154445_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU151 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_JS_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154445_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU152 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_JS_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154445_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU153 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_JS_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154445_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU154 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_JS_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154445_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU155 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_JS_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154445_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU156 MCNCHLQLRDLYRLCNKRHIRRDDVPELIDPLVKTRCFAYSLVVLANANP
CHN_JS_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154445_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU157 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_JS_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154445_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU158 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_JS_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154445_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU159 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU150 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU151 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU152 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU153 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU155 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU156 MCNCHLQLRDLYRLCNKRHIRRDDVPELIDPLVKTRCFAYSLVVLANANP
CH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU157 MCNCHLQLRDLYRLCNKRHIRRDDVPELIDPLVKTRCFAYSLVVLANANP
CH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU158 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU159 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
CHN_Tianjin_2016_NS6_APG38201_1_2016_China_Swine_Porcine_coronavirus_HKU150 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP
***************** ****:***************************
CHN_AH_2004_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154431_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_HB_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154438_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_HN_2014_NS6_ALS54089_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_JS_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154445_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_Tianjin_2016_NS6_APG38201_1_2016_China_Swine_Porcine_coronavirus_HKU15 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CH_Sichuan_S27_2012_NS6_AKQ63086_1_2012_China_Swine_Porcine_coronavirus_HKU15 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
HKU15_155_NS6_AFD29197_1_2010_China_Swine_Porcine_coronavirus_HKU15 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
HKU15_44_NS6_YP_005352834_1_2009_China_Swine_Porcine_coronavirus_HKU15 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_AH_2004_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154431_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU150 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_AH_2004_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154431_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU151 IAFSILPRKLLINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_AH_2004_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154431_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU152 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_AH_2004_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154431_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU153 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_AH_2004_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154431_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU154 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILQDELN
CHN_AH_2004_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154431_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU155 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_AH_2004_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154431_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU156 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_AH_2004_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154431_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU157 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_AH_2004_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154431_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU158 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_AH_2004_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154431_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU159 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_HB_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154438_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU150 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_HB_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154438_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU151 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_HB_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154438_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU152 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_HB_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154438_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU153 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_HB_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154438_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU154 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_HB_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154438_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU155 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_HB_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154438_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU156 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_HB_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154438_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU157 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_HB_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154438_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU158 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_HB_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154438_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU159 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_HN_2014_NS6_ALS54089_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU150 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_HN_2014_NS6_ALS54089_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU151 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_HN_2014_NS6_ALS54089_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU152 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_HN_2014_NS6_ALS54089_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU153 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_HN_2014_NS6_ALS54089_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU154 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_HN_2014_NS6_ALS54089_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU155 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_HN_2014_NS6_ALS54089_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU156 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_HN_2014_NS6_ALS54089_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU157 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_HN_2014_NS6_ALS54089_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU158 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_HN_2014_NS6_ALS54089_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU159 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_JS_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154445_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU150 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_JS_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154445_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU151 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_JS_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154445_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU152 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_JS_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154445_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU153 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_JS_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154445_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU154 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_JS_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154445_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU155 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_JS_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154445_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU156 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_JS_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154445_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU157 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_JS_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154445_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU158 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_JS_2014_NS6_AKCH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154445_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU159 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU150 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU151 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU152 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU153 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU154 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU155 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU156 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU157 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU158 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU159 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
CHN_Tianjin_2016_NS6_APG38201_1_2016_China_Swine_Porcine_coronavirus_HKU150 IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
*********:*****************************:****
>CHN_AH_2004_NS6_AKC54431_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >CHN_HB_2014_NS6_AKC54438_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGACGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >CHN_HN_2014_NS6_ALS54089_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >CHN_JS_2014_NS6_AKC54445_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >CH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCTGCACATCAGAAGAGACGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >CHN_Tianjin_2016_NS6_APG38201_1_2016_China_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCTGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTAGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >CH_Sichuan_S27_2012_NS6_AKQ63086_1_2012_China_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCTGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >HKU15_155_NS6_AFD29197_1_2010_China_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCCGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGATTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >HKU15_44_NS6_YP_005352834_1_2009_China_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGACGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >IL2768_NS6_AIA60976_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGACGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >IN2847_NS6_AHN16230_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAACTTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >KNU14_04_NS6_AIT11903_1_2014_04_South_Korea_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >KY4813_NS6_AIA60990_1_2014_03_07_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >MI6148_NS6_AIA99521_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTCAAGATGAATTAAAT >Michigan_8977_2014_NS6_AIP90489_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >NE3579_NS6_AIA61004_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGACGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15 ATGTGCAACTGCCACTTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCCGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGTTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >OH11846_NA_ALJ32188_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >OH1987_NS6_AHN16223_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >PA3148_NS6_AIA60997_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >P1_16_BTL_0115_PDCoV_2016_Lao_NA_AOM53030_1_2016_01_20_Laos_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGACGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCAAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGCGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCACTCCAAGTCATTCTTGAAGATGAATTAAAT >PDCoV_CHJXNI2_2015_NS6_ALA13748_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATTTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCTGCACATCAGAAGAGACGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >PDCoV_Swine_Thailand_S5011_2015_NS6_AMN91624_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGACGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCAAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGCGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCACTCCAAGTCATTCTTGAAGATGAATTAAAT >PDCoV_Swine_Thailand_S5015L_2015_NS6_AMN91673_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGACGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCAAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGCGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCACTCCAAGTCATTCTTGAAGATGAATTAAAT >PDCoV_Swine_Vietnam_Binh21_2015_NS6_APZ76701_1_2015_12_08_Viet_Nam_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCAGCACATCAGAAGAGACGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCAAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >PDCoV_Swine_Vietnam_HaNoi6_2015_NS6_APZ76693_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCAGCACATCAGAAGAGACGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCAAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >PDCoV_USA_Illinois121_2014_NS6_AHL45010_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >PDCoV_USA_Illinois134_2014_NS6_AIB07796_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGACGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >PDCoV_USA_Illinois133_2014_NS6_AIB07788_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGACGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >PDCoV_USA_Illinois136_2014_NS6_AIB07803_1_2014_01_11_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >PDCoV_USA_Iowa136_2015_NSP6_ANI85828_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >PDCoV_USA_Minnesota140_2015_NSP6_ANI85835_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >PDCoV_USA_Nebraska137_2015_NSP6_ANI85842_1_2015_11_27_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >PDCoV_USA_Nebraska145_2015_NSP6_ANI85849_1_2015_12_21_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >PDCoV_USA_Ohio137_2014_NS6_AIB07810_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >SdCV_USA_OhioCVM1_2014_NS6_AIH06860_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >TT_1115_NA_AMW88200_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGACGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCAAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGCGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCACTCCAAGTCATTCTTGAAGATGAATTAAAT >SD3424_NS6_AIA60983_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >USA_Arkansas61_2015_NA_AML40607_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >USA_Illinois272_2014_NA_AML40842_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >USA_IA_2014_8734_NS6_AHM88403_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAGACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >USA_IL_2014_026PDV_P11_NS6_AKA97941_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >USA_Illinois273_2014_NA_AML40849_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >USA_Iowa459_2014_NA_AML40905_1_2014_06_05_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >USA_Indiana453_2014_NA_AML40807_1_2014_05_13_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >USA_Illinois449_2014_NA_AML40814_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGACGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >USA_Michigan447_2014_NA_AML40793_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >USA_Michigan448_2014_NA_AML40800_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >USA_Minnesota214_2014_NA_AML40786_1_2014_03_14_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >USA_Minnesota159_2014_NA_AML40863_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >USA_Minnesota292_2014_NA_AML40898_1_2014_03_14_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >USA_Minnesota442_2014_NA_AML40779_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >USA_Minnesota454_2014_NA_AML40828_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >USA_Minnesota455_2014_NA_AML40835_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >USA_Minnesota_2013_NA_AML40821_1_2013_10_14_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >USA_Nebraska209_2014_NA_AML40870_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGACGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >USA_Nebraska210_2014_NA_AML40877_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGACGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >USA_NorthCarolina452_2014_NA_AML40856_1_2014_05_06_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >USA_Ohio444_2014_NA_AML40884_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT >USA_Ohio445_2014_NA_AML40891_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 ATGTGCAACTGCCATCTGCAGCTGCGAGATTTATATAGATTGTGCAATAAGCGGCACATCAGAAGAGAGGATGTTCCTGAGCTTATTGACCCTCTCGTTAAAACTCGCTGTTTTGCTTACAGTCTCGTGGTTCTTGCTAATGCTAATCCAATTGCATTTAGCATACTACCTCGGAAAATTCTTATCAATGGTGAGCCTTTACTGCTTGAATATGGTAGCATATATGGTAAAGACTTTATCATTCGACCATCGCTCCAAGTCATTCTTGAAGATGAATTAAAT
>CHN_AH_2004_NS6_AKC54431_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >CHN_HB_2014_NS6_AKC54438_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRRDDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >CHN_HN_2014_NS6_ALS54089_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >CHN_JS_2014_NS6_AKC54445_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >CH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKLHIRRDDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >CHN_Tianjin_2016_NS6_APG38201_1_2016_China_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKLHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >CH_Sichuan_S27_2012_NS6_AKQ63086_1_2012_China_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKLHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >HKU15_155_NS6_AFD29197_1_2010_China_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >HKU15_44_NS6_YP_005352834_1_2009_China_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRRDDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >IL2768_NS6_AIA60976_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRRDDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >IN2847_NS6_AHN16230_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKLLINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >KNU14_04_NS6_AIT11903_1_2014_04_South_Korea_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >KY4813_NS6_AIA60990_1_2014_03_07_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >MI6148_NS6_AIA99521_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILQDELN >Michigan_8977_2014_NS6_AIP90489_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >NE3579_NS6_AIA61004_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRRDDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >OH11846_NA_ALJ32188_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >OH1987_NS6_AHN16223_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >PA3148_NS6_AIA60997_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >P1_16_BTL_0115_PDCoV_2016_Lao_NA_AOM53030_1_2016_01_20_Laos_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRRDDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >PDCoV_CHJXNI2_2015_NS6_ALA13748_1_2015_03_China_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKLHIRRDDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >PDCoV_Swine_Thailand_S5011_2015_NS6_AMN91624_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRRDDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >PDCoV_Swine_Thailand_S5015L_2015_NS6_AMN91673_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRRDDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >PDCoV_Swine_Vietnam_Binh21_2015_NS6_APZ76701_1_2015_12_08_Viet_Nam_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKQHIRRDDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >PDCoV_Swine_Vietnam_HaNoi6_2015_NS6_APZ76693_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKQHIRRDDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >PDCoV_USA_Illinois121_2014_NS6_AHL45010_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >PDCoV_USA_Illinois134_2014_NS6_AIB07796_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRRDDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >PDCoV_USA_Illinois133_2014_NS6_AIB07788_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRRDDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >PDCoV_USA_Illinois136_2014_NS6_AIB07803_1_2014_01_11_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >PDCoV_USA_Iowa136_2015_NSP6_ANI85828_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >PDCoV_USA_Minnesota140_2015_NSP6_ANI85835_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >PDCoV_USA_Nebraska137_2015_NSP6_ANI85842_1_2015_11_27_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >PDCoV_USA_Nebraska145_2015_NSP6_ANI85849_1_2015_12_21_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >PDCoV_USA_Ohio137_2014_NS6_AIB07810_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >SdCV_USA_OhioCVM1_2014_NS6_AIH06860_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >TT_1115_NA_AMW88200_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRRDDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >SD3424_NS6_AIA60983_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >USA_Arkansas61_2015_NA_AML40607_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >USA_Illinois272_2014_NA_AML40842_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >USA_IA_2014_8734_NS6_AHM88403_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >USA_IL_2014_026PDV_P11_NS6_AKA97941_1_NA_USA_Unknown_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >USA_Illinois273_2014_NA_AML40849_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >USA_Iowa459_2014_NA_AML40905_1_2014_06_05_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >USA_Indiana453_2014_NA_AML40807_1_2014_05_13_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >USA_Illinois449_2014_NA_AML40814_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRRDDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >USA_Michigan447_2014_NA_AML40793_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >USA_Michigan448_2014_NA_AML40800_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >USA_Minnesota214_2014_NA_AML40786_1_2014_03_14_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >USA_Minnesota159_2014_NA_AML40863_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >USA_Minnesota292_2014_NA_AML40898_1_2014_03_14_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >USA_Minnesota442_2014_NA_AML40779_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >USA_Minnesota454_2014_NA_AML40828_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >USA_Minnesota455_2014_NA_AML40835_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >USA_Minnesota_2013_NA_AML40821_1_2013_10_14_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >USA_Nebraska209_2014_NA_AML40870_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRRDDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >USA_Nebraska210_2014_NA_AML40877_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRRDDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >USA_NorthCarolina452_2014_NA_AML40856_1_2014_05_06_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >USA_Ohio444_2014_NA_AML40884_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN >USA_Ohio445_2014_NA_AML40891_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15 MCNCHLQLRDLYRLCNKRHIRREDVPELIDPLVKTRCFAYSLVVLANANP IAFSILPRKILINGEPLLLEYGSIYGKDFIIRPSLQVILEDELN
Reading sequence file /data//pss_subsets/NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/original_alignment/fubar/fasta/NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1
Found 60 sequences of length 282
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 0.5%
Found 7 informative sites.
Writing alignment of informative sites to: Phi.inf.sites
Writing list of informative sites to: Phi.inf.list
Calculating all pairwise incompatibilities...
Done: 0.0%100.0%
Using a window size of 80 with k as 2
Calculating analytical mean and variance
Doing permutation test for PHI
Doing permutation test for NSS
Doing Permutation test for MAXCHI
Writing alignment of polymorphic unambig sites to: Phi.poly.sites
Window size is 9 polymorphic sites
**p-Value(s)**
----------
NSS: 3.20e-02 (1000 permutations)
Max Chi^2: 3.16e-01 (1000 permutations)
PHI (Permutation): 9.47e-01 (1000 permutations)
PHI (Normal): 8.55e-01
#NEXUS
[ID: 9960301469]
begin taxa;
dimensions ntax=60;
taxlabels
CHN_AH_2004_NS6_AKC54431_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15
IL2768_NS6_AIA60976_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15
IN2847_NS6_AHN16230_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15
KNU14_04_NS6_AIT11903_1_2014_04_South_Korea_Swine_Porcine_coronavirus_HKU15
KY4813_NS6_AIA60990_1_2014_03_07_USA_Swine_Porcine_coronavirus_HKU15
MI6148_NS6_AIA99521_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15
Michigan_8977_2014_NS6_AIP90489_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15
NE3579_NS6_AIA61004_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15
NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15
OH11846_NA_ALJ32188_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15
OH1987_NS6_AHN16223_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15
CHN_HB_2014_NS6_AKC54438_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15
PA3148_NS6_AIA60997_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15
P1_16_BTL_0115_PDCoV_2016_Lao_NA_AOM53030_1_2016_01_20_Laos_Swine_Porcine_coronavirus_HKU15
PDCoV_CHJXNI2_2015_NS6_ALA13748_1_2015_03_China_Swine_Porcine_coronavirus_HKU15
PDCoV_Swine_Thailand_S5011_2015_NS6_AMN91624_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15
PDCoV_Swine_Thailand_S5015L_2015_NS6_AMN91673_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15
PDCoV_Swine_Vietnam_Binh21_2015_NS6_APZ76701_1_2015_12_08_Viet_Nam_Swine_Porcine_coronavirus_HKU15
PDCoV_Swine_Vietnam_HaNoi6_2015_NS6_APZ76693_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Illinois121_2014_NS6_AHL45010_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Illinois134_2014_NS6_AIB07796_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Illinois133_2014_NS6_AIB07788_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15
CHN_HN_2014_NS6_ALS54089_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Illinois136_2014_NS6_AIB07803_1_2014_01_11_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Iowa136_2015_NSP6_ANI85828_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Minnesota140_2015_NSP6_ANI85835_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Nebraska137_2015_NSP6_ANI85842_1_2015_11_27_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Nebraska145_2015_NSP6_ANI85849_1_2015_12_21_USA_Swine_Porcine_coronavirus_HKU15
PDCoV_USA_Ohio137_2014_NS6_AIB07810_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15
SdCV_USA_OhioCVM1_2014_NS6_AIH06860_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15
TT_1115_NA_AMW88200_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15
SD3424_NS6_AIA60983_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15
USA_Arkansas61_2015_NA_AML40607_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15
CHN_JS_2014_NS6_AKC54445_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15
USA_Illinois272_2014_NA_AML40842_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15
USA_IA_2014_8734_NS6_AHM88403_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15
USA_IL_2014_026PDV_P11_NS6_AKA97941_1_NA_USA_Unknown_Porcine_coronavirus_HKU15
USA_Illinois273_2014_NA_AML40849_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15
USA_Iowa459_2014_NA_AML40905_1_2014_06_05_USA_Swine_Porcine_coronavirus_HKU15
USA_Indiana453_2014_NA_AML40807_1_2014_05_13_USA_Swine_Porcine_coronavirus_HKU15
USA_Illinois449_2014_NA_AML40814_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15
USA_Michigan447_2014_NA_AML40793_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15
USA_Michigan448_2014_NA_AML40800_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15
USA_Minnesota214_2014_NA_AML40786_1_2014_03_14_USA_Swine_Porcine_coronavirus_HKU15
CH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15
USA_Minnesota159_2014_NA_AML40863_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15
USA_Minnesota292_2014_NA_AML40898_1_2014_03_14_USA_Swine_Porcine_coronavirus_HKU15
USA_Minnesota442_2014_NA_AML40779_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15
USA_Minnesota454_2014_NA_AML40828_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15
USA_Minnesota455_2014_NA_AML40835_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15
USA_Minnesota_2013_NA_AML40821_1_2013_10_14_USA_Swine_Porcine_coronavirus_HKU15
USA_Nebraska209_2014_NA_AML40870_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15
USA_Nebraska210_2014_NA_AML40877_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15
USA_NorthCarolina452_2014_NA_AML40856_1_2014_05_06_USA_Swine_Porcine_coronavirus_HKU15
USA_Ohio444_2014_NA_AML40884_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15
CHN_Tianjin_2016_NS6_APG38201_1_2016_China_Swine_Porcine_coronavirus_HKU15
USA_Ohio445_2014_NA_AML40891_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15
CH_Sichuan_S27_2012_NS6_AKQ63086_1_2012_China_Swine_Porcine_coronavirus_HKU15
HKU15_155_NS6_AFD29197_1_2010_China_Swine_Porcine_coronavirus_HKU15
HKU15_44_NS6_YP_005352834_1_2009_China_Swine_Porcine_coronavirus_HKU15
;
end;
begin trees;
translate
1 CHN_AH_2004_NS6_AKC54431_1_2004_05_24_China_Swine_Porcine_coronavirus_HKU15,
2 IL2768_NS6_AIA60976_1_2014_02_12_USA_Swine_Porcine_coronavirus_HKU15,
3 IN2847_NS6_AHN16230_1_2014_02_13_USA_Swine_Porcine_coronavirus_HKU15,
4 KNU14_04_NS6_AIT11903_1_2014_04_South_Korea_Swine_Porcine_coronavirus_HKU15,
5 KY4813_NS6_AIA60990_1_2014_03_07_USA_Swine_Porcine_coronavirus_HKU15,
6 MI6148_NS6_AIA99521_1_2014_03_18_USA_Swine_Porcine_coronavirus_HKU15,
7 Michigan_8977_2014_NS6_AIP90489_1_2014_03_17_USA_Swine_Porcine_coronavirus_HKU15,
8 NE3579_NS6_AIA61004_1_2014_02_21_USA_Swine_Porcine_coronavirus_HKU15,
9 NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15,
10 OH11846_NA_ALJ32188_1_2014_05_07_USA_Swine_Porcine_coronavirus_HKU15,
11 OH1987_NS6_AHN16223_1_2014_01_31_USA_Swine_Porcine_coronavirus_HKU15,
12 CHN_HB_2014_NS6_AKC54438_1_2014_12_26_China_Swine_Porcine_coronavirus_HKU15,
13 PA3148_NS6_AIA60997_1_2014_02_18_USA_Swine_Porcine_coronavirus_HKU15,
14 P1_16_BTL_0115_PDCoV_2016_Lao_NA_AOM53030_1_2016_01_20_Laos_Swine_Porcine_coronavirus_HKU15,
15 PDCoV_CHJXNI2_2015_NS6_ALA13748_1_2015_03_China_Swine_Porcine_coronavirus_HKU15,
16 PDCoV_Swine_Thailand_S5011_2015_NS6_AMN91624_1_2015_06_10_Thailand_Swine_Porcine_coronavirus_HKU15,
17 PDCoV_Swine_Thailand_S5015L_2015_NS6_AMN91673_1_2015_06_30_Thailand_Swine_Porcine_coronavirus_HKU15,
18 PDCoV_Swine_Vietnam_Binh21_2015_NS6_APZ76701_1_2015_12_08_Viet_Nam_Swine_Porcine_coronavirus_HKU15,
19 PDCoV_Swine_Vietnam_HaNoi6_2015_NS6_APZ76693_1_2015_10_10_Viet_Nam_Swine_Porcine_coronavirus_HKU15,
20 PDCoV_USA_Illinois121_2014_NS6_AHL45010_1_2014_01_04_USA_Swine_Porcine_coronavirus_HKU15,
21 PDCoV_USA_Illinois134_2014_NS6_AIB07796_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15,
22 PDCoV_USA_Illinois133_2014_NS6_AIB07788_1_2014_01_08_USA_Swine_Porcine_coronavirus_HKU15,
23 CHN_HN_2014_NS6_ALS54089_1_2014_11_24_China_Swine_Porcine_coronavirus_HKU15,
24 PDCoV_USA_Illinois136_2014_NS6_AIB07803_1_2014_01_11_USA_Swine_Porcine_coronavirus_HKU15,
25 PDCoV_USA_Iowa136_2015_NSP6_ANI85828_1_2015_10_15_USA_Swine_Porcine_coronavirus_HKU15,
26 PDCoV_USA_Minnesota140_2015_NSP6_ANI85835_1_2015_12_18_USA_Swine_Porcine_coronavirus_HKU15,
27 PDCoV_USA_Nebraska137_2015_NSP6_ANI85842_1_2015_11_27_USA_Swine_Porcine_coronavirus_HKU15,
28 PDCoV_USA_Nebraska145_2015_NSP6_ANI85849_1_2015_12_21_USA_Swine_Porcine_coronavirus_HKU15,
29 PDCoV_USA_Ohio137_2014_NS6_AIB07810_1_2014_01_26_USA_Swine_Porcine_coronavirus_HKU15,
30 SdCV_USA_OhioCVM1_2014_NS6_AIH06860_1_2014_03_01_USA_Swine_Porcine_coronavirus_HKU15,
31 TT_1115_NA_AMW88200_1_2015_11_Thailand_Swine_Porcine_coronavirus_HKU15,
32 SD3424_NS6_AIA60983_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15,
33 USA_Arkansas61_2015_NA_AML40607_1_2015_03_24_USA_Swine_Porcine_coronavirus_HKU15,
34 CHN_JS_2014_NS6_AKC54445_1_2014_12_20_China_Swine_Porcine_coronavirus_HKU15,
35 USA_Illinois272_2014_NA_AML40842_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15,
36 USA_IA_2014_8734_NS6_AHM88403_1_2014_02_20_USA_Swine_Porcine_coronavirus_HKU15,
37 USA_IL_2014_026PDV_P11_NS6_AKA97941_1_NA_USA_Unknown_Porcine_coronavirus_HKU15,
38 USA_Illinois273_2014_NA_AML40849_1_2014_02_23_USA_Swine_Porcine_coronavirus_HKU15,
39 USA_Iowa459_2014_NA_AML40905_1_2014_06_05_USA_Swine_Porcine_coronavirus_HKU15,
40 USA_Indiana453_2014_NA_AML40807_1_2014_05_13_USA_Swine_Porcine_coronavirus_HKU15,
41 USA_Illinois449_2014_NA_AML40814_1_2014_04_21_USA_Swine_Porcine_coronavirus_HKU15,
42 USA_Michigan447_2014_NA_AML40793_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15,
43 USA_Michigan448_2014_NA_AML40800_1_2014_04_02_USA_Swine_Porcine_coronavirus_HKU15,
44 USA_Minnesota214_2014_NA_AML40786_1_2014_03_14_USA_Swine_Porcine_coronavirus_HKU15,
45 CH_SXD1_2015_NSP6_ALD83759_1_2015_03_20_China_Swine_Porcine_coronavirus_HKU15,
46 USA_Minnesota159_2014_NA_AML40863_1_2014_02_11_USA_Swine_Porcine_coronavirus_HKU15,
47 USA_Minnesota292_2014_NA_AML40898_1_2014_03_14_USA_Swine_Porcine_coronavirus_HKU15,
48 USA_Minnesota442_2014_NA_AML40779_1_2014_03_06_USA_Swine_Porcine_coronavirus_HKU15,
49 USA_Minnesota454_2014_NA_AML40828_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15,
50 USA_Minnesota455_2014_NA_AML40835_1_2014_05_21_USA_Swine_Porcine_coronavirus_HKU15,
51 USA_Minnesota_2013_NA_AML40821_1_2013_10_14_USA_Swine_Porcine_coronavirus_HKU15,
52 USA_Nebraska209_2014_NA_AML40870_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15,
53 USA_Nebraska210_2014_NA_AML40877_1_2014_02_05_USA_Swine_Porcine_coronavirus_HKU15,
54 USA_NorthCarolina452_2014_NA_AML40856_1_2014_05_06_USA_Swine_Porcine_coronavirus_HKU15,
55 USA_Ohio444_2014_NA_AML40884_1_2014_03_26_USA_Swine_Porcine_coronavirus_HKU15,
56 CHN_Tianjin_2016_NS6_APG38201_1_2016_China_Swine_Porcine_coronavirus_HKU15,
57 USA_Ohio445_2014_NA_AML40891_1_2014_03_27_USA_Swine_Porcine_coronavirus_HKU15,
58 CH_Sichuan_S27_2012_NS6_AKQ63086_1_2012_China_Swine_Porcine_coronavirus_HKU15,
59 HKU15_155_NS6_AFD29197_1_2010_China_Swine_Porcine_coronavirus_HKU15,
60 HKU15_44_NS6_YP_005352834_1_2009_China_Swine_Porcine_coronavirus_HKU15
;
[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 = (1:3.709579e-04,3:8.561703e-04,4:3.514706e-04,5:3.535045e-04,6:9.164761e-04,7:3.797658e-04,10:3.617171e-04,11:3.730767e-04,13:3.892144e-04,20:3.635098e-04,23:3.767312e-04,24:3.786404e-04,25:3.492885e-04,26:3.745953e-04,27:3.603933e-04,28:3.521655e-04,29:3.431935e-04,30:3.686712e-04,32:3.521965e-04,33:3.409457e-04,34:3.455440e-04,35:3.673523e-04,36:8.894388e-04,37:3.845739e-04,38:3.323291e-04,39:3.843008e-04,40:3.727083e-04,42:3.703306e-04,43:3.473708e-04,44:3.633021e-04,46:3.607904e-04,47:3.518438e-04,48:3.444948e-04,49:3.717589e-04,50:3.483531e-04,51:3.569992e-04,54:3.555014e-04,55:3.448352e-04,57:3.454562e-04,(2:3.271472e-04,8:3.599603e-04,12:3.487875e-04,((14:3.571124e-04,16:4.001085e-04,17:3.611822e-04,31:3.644464e-04)1.000:1.378898e-03,(18:3.570977e-04,19:3.876699e-04)0.979:9.365244e-04)0.932:8.762870e-04,(15:9.342435e-04,45:4.030497e-04)0.907:8.850132e-04,21:3.973678e-04,22:3.791492e-04,41:3.751856e-04,52:3.411505e-04,53:3.678386e-04,60:3.689876e-04)0.808:8.693856e-04,(56:9.398850e-04,58:4.473809e-04)0.788:8.768229e-04,(9:2.268458e-03,59:1.103905e-03)0.504:8.216487e-04);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:3.709579e-04,3:8.561703e-04,4:3.514706e-04,5:3.535045e-04,6:9.164761e-04,7:3.797658e-04,10:3.617171e-04,11:3.730767e-04,13:3.892144e-04,20:3.635098e-04,23:3.767312e-04,24:3.786404e-04,25:3.492885e-04,26:3.745953e-04,27:3.603933e-04,28:3.521655e-04,29:3.431935e-04,30:3.686712e-04,32:3.521965e-04,33:3.409457e-04,34:3.455440e-04,35:3.673523e-04,36:8.894388e-04,37:3.845739e-04,38:3.323291e-04,39:3.843008e-04,40:3.727083e-04,42:3.703306e-04,43:3.473708e-04,44:3.633021e-04,46:3.607904e-04,47:3.518438e-04,48:3.444948e-04,49:3.717589e-04,50:3.483531e-04,51:3.569992e-04,54:3.555014e-04,55:3.448352e-04,57:3.454562e-04,(2:3.271472e-04,8:3.599603e-04,12:3.487875e-04,((14:3.571124e-04,16:4.001085e-04,17:3.611822e-04,31:3.644464e-04):1.378898e-03,(18:3.570977e-04,19:3.876699e-04):9.365244e-04):8.762870e-04,(15:9.342435e-04,45:4.030497e-04):8.850132e-04,21:3.973678e-04,22:3.791492e-04,41:3.751856e-04,52:3.411505e-04,53:3.678386e-04,60:3.689876e-04):8.693856e-04,(56:9.398850e-04,58:4.473809e-04):8.768229e-04,(9:2.268458e-03,59:1.103905e-03):8.216487e-04);
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 -471.49 -486.06
2 -471.23 -483.96
--------------------------------------
TOTAL -471.35 -485.48
--------------------------------------
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} 0.042151 0.000238 0.016822 0.071223 0.040234 1450.57 1461.43 1.000
r(A<->C){all} 0.258675 0.012177 0.062585 0.474071 0.249302 89.15 92.46 1.000
r(A<->G){all} 0.206307 0.011463 0.033201 0.421811 0.191887 77.30 78.77 1.002
r(A<->T){all} 0.097765 0.004288 0.002584 0.227955 0.084308 131.55 135.51 1.001
r(C<->G){all} 0.152767 0.009051 0.008037 0.337393 0.136455 87.29 94.61 1.000
r(C<->T){all} 0.169334 0.008304 0.023298 0.352702 0.155434 65.37 78.38 1.001
r(G<->T){all} 0.115152 0.006079 0.006809 0.272199 0.098304 76.43 91.67 1.001
pi(A){all} 0.280122 0.000655 0.226439 0.327264 0.279794 771.04 802.53 1.002
pi(C){all} 0.208239 0.000553 0.162933 0.253367 0.207324 670.24 766.57 1.000
pi(G){all} 0.188624 0.000510 0.142772 0.231314 0.188297 875.58 905.70 1.000
pi(T){all} 0.323015 0.000745 0.266821 0.373418 0.323932 735.79 780.48 1.002
alpha{1,2} 0.746129 0.717937 0.000327 2.329224 0.466153 614.90 647.20 1.000
alpha{3} 1.167151 1.061900 0.002381 3.152054 0.892139 512.64 753.98 1.000
pinvar{all} 0.487687 0.065718 0.022602 0.879274 0.504656 216.68 229.71 1.001
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
[2J[H /HYPHY 2.3.14.20190214beta(MP) for Linux on x86_64\ ***************** TYPES OF STANDARD ANALYSES ***************** (1) Selection Analyses (2) Evolutionary Hypothesis Testing (3) Relative evolutionary rate inference (4) Coevolutionary analysis (5) Basic Analyses (6) Codon Selection Analyses (7) Compartmentalization (8) Data File Tools (9) Miscellaneous (10) Model Comparison (11) Kernel Analysis Tools (12) Molecular Clock (13) Phylogeny Reconstruction (14) Positive Selection (15) Recombination (16) Selection/Recombination (17) Relative Rate (18) Relative Ratio (19) Substitution Rates Please select type of analyses you want to list (or press ENTER to process custom batch file):[2J[H***************** FILES IN 'Selection Analyses' ***************** (1) [MEME] Test for episodic site-level selection using MEME (Mixed Effects Model of Evolution). (2) [FEL] Test for pervasive site-level selection using FEL (Fixed Effects Likelihood). (3) [SLAC] Test for pervasive site-level selection using SLAC (Single Likelihood Ancestor Counting). (4) [FUBAR] Test for pervasive site-level selection using FUBAR (Fast Unconstrained Bayesian AppRoximation for inferring selection). (5) [BUSTED] Test for episodic gene-wide selection using BUSTED (Branch-site Unrestricted Statistical Test of Episodic Diversification). (6) [aBSREL] Test for lineage-specific evolution using the branch-site method aBS-REL (Adaptive Branch-Site Random Effects Likelihood). (7) [RELAX] Test for relaxation of selection pressure along a specified set of test branches using RELAX (a random effects test of selection relaxation). Please select the analysis you would like to perform (or press ENTER to return to the list of analysis types): Analysis Description -------------------- Perform a Fast Unbiased AppRoximate Bayesian (FUBAR) analysis of a coding sequence alignment to determine whether some sites have been subject to pervasive purifying or diversifying selection. v2.1 introduces two more methods for estimating the posterior distribution of grid weights: collapsed Gibbs MCMC (faster) and 0-th order Variation Bayes approximation (fastest). Please note that a FUBAR analysis generates a cache and a results JSON file in the same directory as directory as the original alignment. HyPhy needs to have write privileges to this directory. For example if the original file is in /home/sergei/FUBAR/data/pol.nex then at the end of a FUBAR run, there will also exist FUBAR-generated files /home/sergei/FUBAR/data/pol.nex.FUBAR.json, /home/sergei/FUBAR/data/pol.nex.fubrar.cache. They also provide checkpointing so that a partially completed analysis can be restarted. - __Requirements__: in-frame codon alignment (possibly partitioned) and a phylogenetic tree (one per partition) - __Citation__: FUBAR: a fast, unconstrained bayesian approximation for inferring selection (2013), Mol Biol Evol. 30(5):1196-205 - __Written by__: Sergei L Kosakovsky Pond - __Contact Information__: spond@temple.edu - __Analysis Version__: 2.1 ####Choose Genetic Code 1. [**Universal**] Universal code. (Genebank transl_table=1). 2. [**Vertebrate mtDNA**] Vertebrate mitochondrial DNA code. (Genebank transl_table=2). 3. [**Yeast mtDNA**] Yeast mitochondrial DNA code. (Genebank transl_table=3). 4. [**Mold/Protozoan mtDNA**] Mold, Protozoan and Coelenterate mitochondrial DNA and the Mycloplasma/Spiroplasma code. (Genebank transl_table=4). 5. [**Invertebrate mtDNA**] Invertebrate mitochondrial DNA code. (Genebank transl_table=5). 6. [**Ciliate Nuclear**] Ciliate, Dasycladacean and Hexamita Nuclear code. (Genebank transl_table=6). 7. [**Echinoderm mtDNA**] Echinoderm mitochondrial DNA code. (Genebank transl_table=9). 8. [**Euplotid Nuclear**] Euplotid Nuclear code. (Genebank transl_table=10). 9. [**Alt. Yeast Nuclear**] Alternative Yeast Nuclear code. (Genebank transl_table=12). 10. [**Ascidian mtDNA**] Ascidian mitochondrial DNA code. (Genebank transl_table=13). 11. [**Flatworm mtDNA**] Flatworm mitochondrial DNA code. (Genebank transl_table=14). 12. [**Blepharisma Nuclear**] Blepharisma Nuclear code. (Genebank transl_table=15). 13. [**Chlorophycean mtDNA**] Chlorophycean Mitochondrial Code (transl_table=16). 14. [**Trematode mtDNA**] Trematode Mitochondrial Code (transl_table=21). 15. [**Scenedesmus obliquus mtDNA**] Scenedesmus obliquus mitochondrial Code (transl_table=22). 16. [**Thraustochytrium mtDNA**] Thraustochytrium Mitochondrial Code (transl_table=23). 17. [**Pterobranchia mtDNA**] Pterobranchia Mitochondrial Code (transl_table=24). 18. [**SR1 and Gracilibacteria**] Candidate Division SR1 and Gracilibacteria Code (transl_table=25). 19. [**Pachysolen Nuclear**] Pachysolen tannophilus Nuclear Code (transl_table=26). >Please choose an option (or press q to cancel selection): >Select a coding sequence alignment file (`/usr/local/lib/hyphy/TemplateBatchFiles/SelectionAnalyses/`) >A tree was found in the data file: `(C1,C11,C12,C13,C14,C15,C18,C19,C20,C27,C3,C30,C31,C32,C33,C34,C35,C36,C38,C39,C4,C40,C41,C42,C43,C44,C45,C47,C48,C49,C50,C51,C52,C53,C54,C55,C58,C59,C60,(C10,C16,C2,((C21,C23,C24,C37),(C25,C26)),(C22,C5),C28,C29,C46,C56,C57,C9),(C6,C7),(C17,C8))` >Would you like to use it (y/n)? >Loaded a multiple sequence alignment with **60** sequences, **94** codons, and **1** partitions from `/data//pss_subsets/NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/original_alignment/fubar/results/NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1/NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1.fna` > FUBAR will write cache and result files to _/data//pss_subsets/NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/original_alignment/fubar/results/NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1/NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1.fna.FUBAR.cache_ and _/data//pss_subsets/NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result/original_alignment/fubar/results/NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.result.1/NH_NS6_ANA78467_1_2015_12_30_China_Unknown_Porcine_coronavirus_HKU15.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) = -507.32, AIC-c = 1165.31 (75 estimated parameters) * Tree length (expected substitutions/site) for partition 1 : 0.061 ### 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 = 0.500 * 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| |:--------------:|:--------------:|:--------------:|:--------------:|:-----------------------------------:| | 18 | 1 | 1.069 | 25.543 | Pos. posterior = 0.9876 | ---- ## FUBAR inferred 1 sites subject to diversifying positive selection at posterior probability >= 0.9 Of these, 0.01 are expected to be false positives (95% confidence interval of 0-0 )
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
