--- 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 -490.47 -522.76
2 -489.55 -512.06
--------------------------------------
TOTAL -489.91 -522.06
--------------------------------------
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} 0.129631 0.000794 0.076941 0.183509 0.126963 1378.89 1433.95 1.000
r(A<->C){all} 0.039166 0.001497 0.000041 0.117850 0.026951 197.94 251.49 1.004
r(A<->G){all} 0.161941 0.005289 0.030557 0.302245 0.152838 219.04 279.63 1.000
r(A<->T){all} 0.066666 0.001496 0.007075 0.142147 0.059605 402.36 429.69 1.001
r(C<->G){all} 0.091973 0.003721 0.000509 0.208837 0.080466 190.34 201.88 1.000
r(C<->T){all} 0.555596 0.008903 0.374648 0.740753 0.558455 215.18 266.79 1.001
r(G<->T){all} 0.084658 0.002276 0.008785 0.175285 0.075761 357.29 367.87 1.001
pi(A){all} 0.238744 0.000772 0.185500 0.291889 0.238963 1064.49 1076.85 1.000
pi(C){all} 0.198245 0.000639 0.152940 0.249818 0.197284 925.03 958.17 1.001
pi(G){all} 0.171875 0.000562 0.122771 0.215820 0.171097 950.59 951.82 1.000
pi(T){all} 0.391136 0.000952 0.328724 0.449373 0.390608 947.04 971.70 1.000
alpha{1,2} 1.389097 1.214898 0.001539 3.558401 1.093463 1132.98 1145.25 1.002
alpha{3} 0.990469 0.872331 0.000518 2.850328 0.715612 702.07 857.37 1.000
pinvar{all} 0.260398 0.030412 0.000066 0.571655 0.238376 538.47 582.65 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
--- CODEML SUMMARY
-- Starting log on Thu Nov 17 16:36:11 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/LZW_E_AIJ01343_1_2012_02_China_Unknown_PEDV.result--
-- Starting log on Thu Nov 17 16:37:51 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/LZW_E_AIJ01343_1_2012_02_China_Unknown_PEDV.result--
-- Starting log on Thu Nov 17 16:36:11 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/LZW_E_AIJ01343_1_2012_02_China_Unknown_PEDV.result--
-- Starting log on Thu Nov 17 21:59:17 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/LZW_E_AIJ01343_1_2012_02_China_Unknown_PEDV.result/gapped_alignment/fubar,LZW_E_AIJ01343_1_2012_02_China_Unknown_PEDV.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 90 taxa and 228 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C308
Taxon 2 -> C65
Taxon 3 -> C199
Taxon 4 -> C135
Taxon 5 -> C132
Taxon 6 -> C176
Taxon 7 -> C325
Taxon 8 -> C312
Taxon 9 -> C181
Taxon 10 -> C146
Taxon 11 -> C188
Taxon 12 -> C210
Taxon 13 -> C331
Taxon 14 -> C166
Taxon 15 -> C229
Taxon 16 -> C167
Taxon 17 -> C192
Taxon 18 -> C338
Taxon 19 -> C531
Taxon 20 -> C274
Taxon 21 -> C190
Taxon 22 -> C203
Taxon 23 -> C505
Taxon 24 -> C337
Taxon 25 -> C510
Taxon 26 -> C574
Taxon 27 -> C2
Taxon 28 -> C216
Taxon 29 -> C343
Taxon 30 -> C369
Taxon 31 -> C108
Taxon 32 -> C22
Taxon 33 -> C226
Taxon 34 -> C571
Taxon 35 -> C351
Taxon 36 -> C93
Taxon 37 -> C495
Taxon 38 -> C162
Taxon 39 -> C253
Taxon 40 -> C238
Taxon 41 -> C357
Taxon 42 -> C222
Taxon 43 -> C465
Taxon 44 -> C27
Taxon 45 -> C60
Taxon 46 -> C247
Taxon 47 -> C362
Taxon 48 -> C107
Taxon 49 -> C354
Taxon 50 -> C519
Taxon 51 -> C298
Taxon 52 -> C259
Taxon 53 -> C368
Taxon 54 -> C113
Taxon 55 -> C486
Taxon 56 -> C658
Taxon 57 -> C573
Taxon 58 -> C322
Taxon 59 -> C271
Taxon 60 -> C374
Taxon 61 -> C119
Taxon 62 -> C618
Taxon 63 -> C627
Taxon 64 -> C346
Taxon 65 -> C283
Taxon 66 -> C380
Taxon 67 -> C252
Taxon 68 -> C125
Taxon 69 -> C18
Taxon 70 -> C334
Taxon 71 -> C626
Taxon 72 -> C295
Taxon 73 -> C386
Taxon 74 -> C131
Taxon 75 -> C284
Taxon 76 -> C394
Taxon 77 -> C650
Taxon 78 -> C521
Taxon 79 -> C307
Taxon 80 -> C392
Taxon 81 -> C137
Taxon 82 -> C422
Taxon 83 -> C454
Taxon 84 -> C674
Taxon 85 -> C319
Taxon 86 -> C398
Taxon 87 -> C143
Taxon 88 -> C141
Taxon 89 -> C575
Taxon 90 -> C333
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1668722361
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) = 1104142830
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 = 0320230111
Seed = 2118581015
Swapseed = 1668722361
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 19 unique site patterns
Division 2 has 18 unique site patterns
Division 3 has 26 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 -- -1373.208894 -- 149.597508
Chain 2 -- -1396.804356 -- 149.597508
Chain 3 -- -1392.390231 -- 149.597508
Chain 4 -- -1384.366966 -- 149.597508
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -1393.224300 -- 149.597508
Chain 2 -- -1385.342567 -- 149.597508
Chain 3 -- -1376.434674 -- 149.597508
Chain 4 -- -1395.551417 -- 149.597508
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-1373.209] (-1396.804) (-1392.390) (-1384.367) * [-1393.224] (-1385.343) (-1376.435) (-1395.551)
1000 -- [-962.826] (-1142.039) (-1012.775) (-1042.121) * (-1026.155) [-967.174] (-1192.473) (-1054.814) -- 0:33:18
2000 -- [-891.973] (-972.291) (-951.307) (-945.667) * (-959.094) [-861.183] (-1029.630) (-1056.044) -- 0:33:16
3000 -- [-823.597] (-914.912) (-888.967) (-912.188) * (-942.867) [-788.784] (-993.112) (-987.457) -- 0:33:14
4000 -- [-809.310] (-892.461) (-889.651) (-871.042) * (-918.789) [-780.289] (-948.508) (-942.921) -- 0:33:12
5000 -- [-798.328] (-885.008) (-877.544) (-806.019) * (-887.033) [-767.803] (-930.142) (-910.734) -- 0:33:10
Average standard deviation of split frequencies: 0.088193
6000 -- [-775.396] (-851.172) (-852.738) (-794.312) * (-871.712) [-740.316] (-920.333) (-883.772) -- 0:33:08
7000 -- [-771.806] (-835.363) (-840.326) (-797.558) * (-866.303) [-739.916] (-906.343) (-862.092) -- 0:33:06
8000 -- [-773.251] (-851.055) (-829.294) (-799.809) * (-833.931) [-731.279] (-877.419) (-835.880) -- 0:33:04
9000 -- [-762.195] (-845.482) (-815.219) (-793.465) * (-835.765) [-734.281] (-873.747) (-827.905) -- 0:33:02
10000 -- [-758.977] (-826.348) (-792.938) (-787.884) * (-815.550) [-724.583] (-875.228) (-819.156) -- 0:33:00
Average standard deviation of split frequencies: 0.126361
11000 -- [-765.251] (-834.539) (-794.734) (-774.385) * (-816.499) [-716.468] (-870.257) (-816.314) -- 0:34:27
12000 -- [-751.720] (-810.353) (-797.275) (-774.634) * (-809.279) [-719.572] (-861.498) (-821.893) -- 0:34:18
13000 -- [-742.860] (-815.360) (-794.882) (-772.772) * (-817.729) [-695.138] (-853.786) (-799.736) -- 0:35:25
14000 -- [-752.139] (-806.598) (-789.887) (-786.026) * (-798.906) [-694.842] (-836.154) (-803.931) -- 0:36:23
15000 -- [-734.627] (-800.600) (-790.987) (-765.776) * (-792.977) [-697.412] (-834.302) (-804.290) -- 0:36:07
Average standard deviation of split frequencies: 0.135722
16000 -- [-731.412] (-801.247) (-786.727) (-766.148) * (-796.055) [-687.858] (-833.812) (-799.744) -- 0:35:52
17000 -- [-735.030] (-806.583) (-776.383) (-773.348) * (-778.765) [-690.909] (-852.969) (-785.008) -- 0:35:39
18000 -- [-725.251] (-799.098) (-776.432) (-772.903) * (-770.589) [-688.672] (-843.057) (-786.849) -- 0:35:27
19000 -- [-700.565] (-806.194) (-787.012) (-768.396) * (-771.631) [-676.074] (-830.479) (-782.696) -- 0:35:16
20000 -- [-691.090] (-801.018) (-770.383) (-775.453) * (-768.961) [-684.599] (-814.670) (-799.839) -- 0:35:56
Average standard deviation of split frequencies: 0.140870
21000 -- [-693.932] (-829.216) (-762.873) (-755.355) * (-775.464) [-689.371] (-823.085) (-790.930) -- 0:35:44
22000 -- [-694.674] (-811.050) (-756.973) (-766.946) * (-767.551) [-688.843] (-830.201) (-771.753) -- 0:35:33
23000 -- [-703.226] (-798.695) (-755.975) (-756.410) * (-763.256) [-688.006] (-824.244) (-781.813) -- 0:35:23
24000 -- [-702.696] (-789.540) (-766.019) (-764.280) * (-759.254) [-688.517] (-810.843) (-802.177) -- 0:35:14
25000 -- [-707.282] (-788.166) (-765.978) (-755.304) * (-751.593) [-688.934] (-811.482) (-800.978) -- 0:35:06
Average standard deviation of split frequencies: 0.111693
26000 -- [-701.187] (-798.793) (-767.354) (-754.685) * (-751.182) [-685.071] (-807.173) (-805.712) -- 0:34:57
27000 -- [-684.781] (-800.034) (-774.101) (-749.372) * (-748.743) [-684.520] (-789.968) (-805.060) -- 0:35:26
28000 -- [-681.279] (-798.704) (-762.506) (-753.578) * (-748.201) [-697.857] (-782.680) (-796.208) -- 0:35:17
29000 -- [-698.602] (-798.875) (-769.231) (-755.872) * (-749.151) [-698.362] (-772.299) (-812.015) -- 0:35:09
30000 -- [-689.673] (-797.156) (-767.970) (-751.446) * (-748.469) [-695.459] (-777.548) (-794.222) -- 0:35:01
Average standard deviation of split frequencies: 0.116300
31000 -- [-671.487] (-787.446) (-770.640) (-742.015) * (-746.802) [-696.246] (-780.087) (-792.647) -- 0:34:54
32000 -- [-669.331] (-796.794) (-763.731) (-744.278) * (-755.680) [-691.792] (-781.912) (-803.883) -- 0:34:47
33000 -- [-670.899] (-800.589) (-743.221) (-746.822) * (-765.112) [-683.658] (-777.314) (-790.643) -- 0:34:40
34000 -- [-674.333] (-796.127) (-768.209) (-762.341) * (-747.672) [-680.461] (-780.312) (-800.531) -- 0:34:34
35000 -- [-661.381] (-810.695) (-756.455) (-757.103) * (-761.193) [-675.890] (-771.980) (-805.245) -- 0:34:55
Average standard deviation of split frequencies: 0.107750
36000 -- [-669.441] (-809.149) (-744.371) (-750.901) * (-757.182) [-678.041] (-771.872) (-807.238) -- 0:34:21
37000 -- [-677.378] (-821.581) (-761.435) (-767.209) * (-758.405) [-678.216] (-776.926) (-814.439) -- 0:34:42
38000 -- [-676.992] (-805.203) (-749.759) (-769.914) * (-752.043) [-688.003] (-775.834) (-800.193) -- 0:34:35
39000 -- [-672.956] (-803.720) (-759.891) (-773.835) * (-752.389) [-681.737] (-790.939) (-802.270) -- 0:34:29
40000 -- [-666.883] (-785.180) (-751.778) (-756.781) * (-744.143) [-677.005] (-782.658) (-809.615) -- 0:34:24
Average standard deviation of split frequencies: 0.102047
41000 -- [-663.792] (-787.215) (-758.245) (-750.053) * (-749.848) [-669.818] (-787.244) (-830.206) -- 0:34:18
42000 -- [-667.287] (-789.176) (-745.556) (-755.099) * (-751.702) [-682.257] (-774.837) (-823.925) -- 0:34:12
43000 -- [-681.352] (-794.373) (-747.515) (-757.637) * (-749.253) [-676.695] (-781.057) (-819.122) -- 0:34:07
44000 -- [-682.923] (-787.316) (-743.691) (-749.080) * (-764.360) [-683.890] (-782.587) (-807.682) -- 0:34:02
45000 -- [-678.767] (-808.444) (-740.636) (-754.926) * (-766.780) [-691.096] (-774.139) (-804.262) -- 0:33:57
Average standard deviation of split frequencies: 0.086538
46000 -- [-682.085] (-815.999) (-750.372) (-745.745) * (-769.061) [-685.269] (-772.436) (-778.494) -- 0:34:13
47000 -- [-679.343] (-830.392) (-752.117) (-742.131) * (-760.170) [-687.505] (-772.055) (-779.789) -- 0:34:07
48000 -- [-676.022] (-810.239) (-744.024) (-754.547) * (-778.260) [-684.220] (-780.869) (-778.255) -- 0:34:02
49000 -- [-670.506] (-798.183) (-746.222) (-763.498) * (-757.230) [-688.253] (-794.724) (-767.713) -- 0:34:17
50000 -- [-678.332] (-797.198) (-750.912) (-761.776) * (-749.570) [-683.856] (-797.834) (-762.097) -- 0:34:12
Average standard deviation of split frequencies: 0.092888
51000 -- [-681.330] (-785.669) (-762.314) (-752.450) * (-753.113) [-692.852] (-803.826) (-756.784) -- 0:34:06
52000 -- [-682.349] (-792.308) (-745.812) (-760.843) * (-751.043) [-690.596] (-793.103) (-765.877) -- 0:34:01
53000 -- [-693.073] (-806.069) (-740.827) (-762.373) * (-746.757) [-684.525] (-783.696) (-769.693) -- 0:33:56
54000 -- [-683.053] (-805.634) (-738.671) (-756.665) * (-741.638) [-686.063] (-810.665) (-769.058) -- 0:33:52
55000 -- [-690.255] (-799.624) (-740.722) (-753.638) * (-743.839) [-683.841] (-809.292) (-772.561) -- 0:34:04
Average standard deviation of split frequencies: 0.090029
56000 -- [-686.156] (-779.144) (-732.520) (-750.531) * (-753.459) [-681.371] (-808.730) (-766.670) -- 0:33:59
57000 -- [-689.420] (-789.561) (-734.469) (-747.396) * (-738.370) [-679.437] (-797.079) (-765.985) -- 0:33:54
58000 -- [-695.576] (-787.772) (-747.551) (-753.812) * (-741.835) [-682.641] (-800.334) (-771.006) -- 0:33:50
59000 -- [-679.257] (-792.433) (-739.268) (-746.976) * (-748.119) [-691.745] (-789.220) (-769.384) -- 0:33:45
60000 -- [-677.671] (-792.737) (-746.039) (-765.560) * (-750.659) [-681.371] (-800.095) (-765.448) -- 0:33:41
Average standard deviation of split frequencies: 0.083733
61000 -- [-681.429] (-808.423) (-748.152) (-766.224) * (-742.958) [-682.168] (-798.285) (-771.625) -- 0:33:36
62000 -- [-682.034] (-796.231) (-746.781) (-755.123) * (-756.854) [-675.892] (-796.398) (-783.171) -- 0:33:47
63000 -- [-682.944] (-802.289) (-751.739) (-758.825) * (-751.714) [-677.419] (-795.151) (-774.955) -- 0:33:42
64000 -- [-682.795] (-774.242) (-743.889) (-763.285) * (-761.831) [-673.840] (-796.389) (-766.768) -- 0:33:38
65000 -- [-675.392] (-775.949) (-741.158) (-757.987) * (-751.148) [-676.591] (-795.849) (-781.152) -- 0:33:33
Average standard deviation of split frequencies: 0.072940
66000 -- [-678.888] (-764.508) (-739.816) (-755.776) * (-754.532) [-681.831] (-799.430) (-786.929) -- 0:33:29
67000 -- [-676.665] (-775.769) (-739.642) (-767.717) * (-754.875) [-672.609] (-806.154) (-788.425) -- 0:33:25
68000 -- [-689.242] (-780.401) (-746.548) (-759.987) * (-753.649) [-687.977] (-791.583) (-752.113) -- 0:33:21
69000 -- [-683.709] (-765.061) (-747.790) (-764.149) * (-751.672) [-674.415] (-790.824) (-758.407) -- 0:33:16
70000 -- [-684.826] (-774.550) (-759.051) (-759.041) * (-747.038) [-678.367] (-790.366) (-752.337) -- 0:33:12
Average standard deviation of split frequencies: 0.067802
71000 -- [-682.167] (-771.814) (-745.956) (-754.549) * (-757.316) [-678.225] (-798.435) (-759.908) -- 0:33:08
72000 -- [-671.140] (-766.102) (-750.983) (-755.284) * (-767.122) [-678.517] (-789.959) (-746.962) -- 0:33:04
73000 -- [-674.586] (-769.667) (-741.938) (-752.959) * (-756.689) [-678.510] (-798.090) (-745.780) -- 0:33:00
74000 -- [-663.074] (-776.670) (-742.613) (-742.991) * (-758.379) [-684.013] (-798.443) (-759.822) -- 0:32:57
75000 -- [-668.316] (-781.086) (-756.686) (-751.248) * (-755.350) [-677.203] (-787.668) (-753.905) -- 0:32:53
Average standard deviation of split frequencies: 0.067311
76000 -- [-664.302] (-785.336) (-750.939) (-744.810) * (-754.504) [-676.935] (-792.558) (-755.194) -- 0:32:49
77000 -- [-673.188] (-793.143) (-763.037) (-744.658) * (-748.012) [-674.409] (-786.034) (-768.720) -- 0:32:57
78000 -- [-670.698] (-786.592) (-764.522) (-748.566) * (-749.788) [-668.892] (-792.032) (-766.197) -- 0:32:54
79000 -- [-668.359] (-781.548) (-773.611) (-746.304) * (-755.992) [-669.342] (-781.299) (-769.735) -- 0:32:50
80000 -- [-669.333] (-790.882) (-770.670) (-758.608) * (-755.506) [-674.568] (-780.427) (-770.191) -- 0:32:46
Average standard deviation of split frequencies: 0.061416
81000 -- [-672.346] (-791.945) (-762.782) (-761.191) * (-752.421) [-668.951] (-787.571) (-768.534) -- 0:32:42
82000 -- [-672.074] (-774.962) (-752.654) (-744.402) * (-743.796) [-666.001] (-790.188) (-788.476) -- 0:32:39
83000 -- [-678.917] (-770.426) (-735.728) (-750.451) * (-761.946) [-673.054] (-779.288) (-795.647) -- 0:32:35
84000 -- [-670.477] (-766.444) (-758.772) (-745.940) * (-752.688) [-672.157] (-786.121) (-790.237) -- 0:32:42
85000 -- [-675.991] (-767.656) (-757.810) (-740.201) * (-750.123) [-670.886] (-775.513) (-796.812) -- 0:32:39
Average standard deviation of split frequencies: 0.056093
86000 -- [-675.570] (-775.945) (-757.335) (-744.261) * (-749.272) [-678.273] (-763.868) (-787.683) -- 0:32:35
87000 -- [-684.546] (-779.679) (-755.341) (-752.104) * (-742.297) [-677.373] (-781.106) (-782.494) -- 0:32:42
88000 -- [-669.723] (-773.732) (-761.209) (-759.327) * (-742.410) [-678.808] (-800.572) (-779.720) -- 0:32:49
89000 -- [-671.215] (-772.655) (-765.745) (-745.144) * (-750.354) [-676.106] (-796.685) (-781.429) -- 0:32:45
90000 -- [-668.369] (-792.076) (-766.172) (-745.721) * (-751.625) [-669.900] (-801.745) (-779.917) -- 0:32:51
Average standard deviation of split frequencies: 0.054221
91000 -- [-664.039] (-777.078) (-757.614) (-738.652) * (-759.540) [-683.586] (-804.064) (-783.089) -- 0:32:47
92000 -- [-669.409] (-788.980) (-749.737) (-734.732) * (-759.734) [-690.921] (-798.650) (-777.752) -- 0:32:44
93000 -- [-680.584] (-773.912) (-750.595) (-732.576) * (-756.445) [-688.432] (-790.919) (-790.342) -- 0:32:40
94000 -- [-678.491] (-778.437) (-750.758) (-743.421) * (-741.131) [-684.907] (-782.134) (-802.784) -- 0:32:36
95000 -- [-669.809] (-777.077) (-755.989) (-730.755) * (-758.597) [-685.752] (-791.730) (-788.477) -- 0:32:42
Average standard deviation of split frequencies: 0.049867
96000 -- [-669.680] (-776.032) (-751.178) (-735.191) * (-760.782) [-687.613] (-794.774) (-781.919) -- 0:32:38
97000 -- [-671.309] (-785.086) (-762.524) (-729.081) * (-761.844) [-666.389] (-786.465) (-787.783) -- 0:32:34
98000 -- [-665.025] (-779.191) (-762.161) (-740.460) * (-753.061) [-670.166] (-785.136) (-777.470) -- 0:32:31
99000 -- [-665.324] (-777.851) (-754.616) (-735.752) * (-738.310) [-667.248] (-781.855) (-780.017) -- 0:32:27
100000 -- [-668.932] (-766.294) (-762.328) (-740.635) * (-754.440) [-672.241] (-784.620) (-783.521) -- 0:32:42
Average standard deviation of split frequencies: 0.049451
101000 -- [-671.635] (-761.618) (-762.495) (-740.308) * (-751.045) [-674.259] (-787.274) (-795.009) -- 0:32:47
102000 -- [-682.103] (-775.109) (-762.771) (-743.922) * (-754.914) [-678.127] (-793.044) (-800.123) -- 0:32:52
103000 -- [-673.268] (-781.984) (-760.271) (-735.144) * (-740.392) [-682.039] (-791.959) (-797.904) -- 0:32:48
104000 -- [-675.945] (-779.274) (-763.256) (-730.961) * (-742.715) [-671.017] (-800.579) (-789.830) -- 0:32:44
105000 -- [-667.846] (-769.033) (-755.413) (-741.663) * (-739.215) [-666.811] (-785.201) (-788.088) -- 0:32:40
Average standard deviation of split frequencies: 0.048080
106000 -- [-670.814] (-769.820) (-758.379) (-737.592) * (-764.825) [-674.657] (-783.836) (-798.744) -- 0:32:36
107000 -- [-680.459] (-773.199) (-754.292) (-740.275) * (-765.057) [-676.849] (-786.852) (-775.488) -- 0:32:41
108000 -- [-680.090] (-776.404) (-748.506) (-737.346) * (-754.848) [-666.308] (-795.705) (-751.336) -- 0:32:37
109000 -- [-679.710] (-779.500) (-747.759) (-732.227) * (-752.057) [-672.680] (-774.615) (-752.031) -- 0:32:33
110000 -- [-679.280] (-780.757) (-738.522) (-727.211) * (-758.621) [-677.817] (-771.244) (-758.518) -- 0:32:29
Average standard deviation of split frequencies: 0.046314
111000 -- [-683.103] (-783.725) (-755.918) (-724.865) * (-763.330) [-673.171] (-774.261) (-762.122) -- 0:32:26
112000 -- [-677.738] (-783.085) (-743.010) (-728.267) * (-757.911) [-675.690] (-788.744) (-759.606) -- 0:32:22
113000 -- [-678.665] (-785.540) (-762.306) (-720.687) * (-765.840) [-670.745] (-788.015) (-765.137) -- 0:32:18
114000 -- [-674.287] (-786.332) (-768.679) (-723.892) * (-760.028) [-663.027] (-777.794) (-778.158) -- 0:32:15
115000 -- [-679.761] (-777.259) (-767.694) (-738.352) * (-752.383) [-673.442] (-773.425) (-788.533) -- 0:32:11
Average standard deviation of split frequencies: 0.048268
116000 -- [-674.074] (-784.620) (-766.349) (-739.798) * (-743.653) [-663.760] (-779.056) (-766.879) -- 0:32:15
117000 -- [-679.134] (-785.428) (-769.096) (-740.272) * (-741.629) [-670.689] (-777.386) (-776.048) -- 0:32:12
118000 -- [-671.839] (-796.102) (-763.704) (-757.548) * (-737.407) [-672.998] (-779.814) (-774.628) -- 0:32:08
119000 -- [-674.379] (-796.614) (-754.371) (-755.526) * (-752.148) [-672.928] (-778.428) (-779.400) -- 0:32:04
120000 -- [-674.667] (-800.294) (-754.866) (-762.284) * (-748.666) [-670.858] (-790.268) (-780.496) -- 0:32:01
Average standard deviation of split frequencies: 0.049623
121000 -- [-671.758] (-781.417) (-749.973) (-761.915) * (-760.921) [-665.655] (-775.781) (-781.759) -- 0:32:05
122000 -- [-678.198] (-782.193) (-754.780) (-751.592) * (-749.843) [-668.474] (-782.494) (-784.685) -- 0:32:01
123000 -- [-680.605] (-776.979) (-743.792) (-755.126) * (-751.426) [-667.438] (-768.968) (-780.840) -- 0:31:57
124000 -- [-680.860] (-783.222) (-744.314) (-742.197) * (-734.209) [-677.830] (-769.881) (-779.374) -- 0:31:54
125000 -- [-683.334] (-780.485) (-775.139) (-748.392) * (-738.287) [-666.501] (-772.020) (-769.449) -- 0:31:51
Average standard deviation of split frequencies: 0.046881
126000 -- [-686.177] (-780.148) (-791.604) (-752.162) * (-730.192) [-680.688] (-770.953) (-759.120) -- 0:31:47
127000 -- [-679.745] (-776.920) (-779.537) (-747.569) * (-742.869) [-683.998] (-778.056) (-757.970) -- 0:31:50
128000 -- [-683.693] (-778.290) (-774.342) (-735.077) * (-758.824) [-678.432] (-783.724) (-755.847) -- 0:31:54
129000 -- [-683.484] (-781.224) (-765.636) (-742.111) * (-760.110) [-676.666] (-784.238) (-763.828) -- 0:31:57
130000 -- [-683.804] (-785.525) (-786.229) (-751.452) * (-747.611) [-672.733] (-790.624) (-774.389) -- 0:32:00
Average standard deviation of split frequencies: 0.044986
131000 -- [-677.368] (-789.307) (-767.343) (-758.243) * (-759.268) [-674.825] (-772.662) (-775.414) -- 0:32:03
132000 -- [-683.234] (-785.247) (-764.241) (-745.624) * (-757.418) [-676.958] (-780.574) (-781.083) -- 0:32:06
133000 -- [-680.432] (-777.029) (-758.568) (-751.381) * (-759.858) [-671.567] (-777.248) (-766.188) -- 0:32:09
134000 -- [-683.972] (-779.734) (-779.537) (-756.984) * (-751.482) [-683.410] (-778.398) (-759.785) -- 0:32:12
135000 -- [-687.643] (-774.196) (-761.176) (-751.936) * (-753.682) [-684.338] (-772.066) (-755.169) -- 0:32:15
Average standard deviation of split frequencies: 0.044141
136000 -- [-688.820] (-775.005) (-759.641) (-744.193) * (-752.404) [-684.922] (-774.871) (-761.796) -- 0:32:17
137000 -- [-679.242] (-775.948) (-764.797) (-739.509) * (-757.474) [-682.808] (-781.484) (-765.568) -- 0:32:20
138000 -- [-692.304] (-789.384) (-757.073) (-744.836) * (-757.256) [-679.425] (-780.099) (-751.604) -- 0:32:28
139000 -- [-690.370] (-780.637) (-763.245) (-742.428) * (-747.350) [-673.570] (-780.090) (-752.229) -- 0:32:31
140000 -- [-676.266] (-781.779) (-757.870) (-729.878) * (-752.590) [-684.689] (-793.065) (-750.867) -- 0:32:27
Average standard deviation of split frequencies: 0.046061
141000 -- [-679.925] (-785.933) (-761.184) (-730.925) * (-758.336) [-685.133] (-796.710) (-750.155) -- 0:32:23
142000 -- [-669.173] (-799.491) (-759.176) (-733.328) * (-755.451) [-680.855] (-781.690) (-754.568) -- 0:32:19
143000 -- [-677.715] (-788.305) (-755.393) (-733.196) * (-760.212) [-692.204] (-801.883) (-759.227) -- 0:32:15
144000 -- [-684.017] (-775.617) (-755.488) (-734.513) * (-767.685) [-684.584] (-801.915) (-769.404) -- 0:32:11
145000 -- [-678.576] (-775.527) (-755.406) (-729.289) * (-768.580) [-683.117] (-795.649) (-758.216) -- 0:32:08
Average standard deviation of split frequencies: 0.043924
146000 -- [-667.771] (-785.089) (-774.137) (-747.023) * (-772.380) [-670.382] (-780.480) (-763.896) -- 0:32:10
147000 -- [-671.781] (-787.452) (-764.821) (-736.036) * (-786.759) [-668.047] (-785.386) (-754.615) -- 0:32:06
148000 -- [-668.073] (-783.843) (-771.850) (-721.937) * (-772.675) [-661.138] (-781.406) (-759.290) -- 0:32:02
149000 -- [-675.629] (-765.759) (-772.850) (-725.443) * (-766.100) [-667.778] (-795.392) (-753.791) -- 0:32:04
150000 -- [-679.441] (-774.596) (-770.851) (-723.353) * (-756.994) [-665.896] (-784.133) (-745.502) -- 0:32:00
Average standard deviation of split frequencies: 0.043251
151000 -- [-683.837] (-757.363) (-769.471) (-728.896) * (-758.318) [-667.315] (-793.082) (-754.026) -- 0:31:57
152000 -- [-679.091] (-761.904) (-758.768) (-735.490) * (-778.231) [-672.049] (-794.998) (-753.794) -- 0:31:53
153000 -- [-674.902] (-759.744) (-762.650) (-736.936) * (-760.191) [-672.606] (-788.706) (-762.655) -- 0:31:49
154000 -- [-671.631] (-760.437) (-762.576) (-736.888) * (-765.196) [-685.725] (-800.064) (-760.379) -- 0:31:46
155000 -- [-675.262] (-772.846) (-764.860) (-721.668) * (-768.459) [-674.160] (-799.391) (-758.754) -- 0:31:42
Average standard deviation of split frequencies: 0.042620
156000 -- [-669.697] (-761.950) (-762.410) (-722.573) * (-778.636) [-665.329] (-807.557) (-754.553) -- 0:31:44
157000 -- [-667.732] (-770.039) (-767.580) (-728.431) * (-773.954) [-664.640] (-799.299) (-761.295) -- 0:31:40
158000 -- [-667.547] (-778.744) (-760.422) (-728.211) * (-766.605) [-665.478] (-786.006) (-746.897) -- 0:31:42
159000 -- [-665.281] (-773.465) (-752.272) (-723.372) * (-770.223) [-662.652] (-793.287) (-753.797) -- 0:31:38
160000 -- [-670.717] (-784.457) (-740.367) (-724.128) * (-754.789) [-673.950] (-784.862) (-746.882) -- 0:31:40
Average standard deviation of split frequencies: 0.041688
161000 -- [-676.141] (-769.104) (-744.217) (-726.870) * (-756.086) [-677.254] (-788.263) (-755.431) -- 0:31:31
162000 -- [-673.799] (-787.593) (-749.874) (-725.327) * (-752.225) [-664.116] (-789.156) (-742.537) -- 0:31:33
163000 -- [-669.974] (-785.542) (-754.773) (-725.209) * (-746.669) [-670.446] (-797.563) (-743.437) -- 0:31:29
164000 -- [-679.033] (-789.982) (-766.467) (-740.989) * (-744.589) [-675.153] (-783.306) (-747.952) -- 0:31:26
165000 -- [-684.712] (-796.191) (-769.209) (-746.415) * (-739.606) [-679.406] (-775.879) (-758.433) -- 0:31:22
Average standard deviation of split frequencies: 0.039200
166000 -- [-680.989] (-800.382) (-749.696) (-728.991) * (-747.429) [-668.092] (-772.401) (-761.496) -- 0:31:19
167000 -- [-679.388] (-802.329) (-747.160) (-738.168) * (-746.862) [-678.373] (-776.657) (-760.156) -- 0:31:15
168000 -- [-687.640] (-784.212) (-753.417) (-738.950) * (-746.832) [-677.122] (-776.941) (-750.779) -- 0:31:11
169000 -- [-698.643] (-777.489) (-758.160) (-732.464) * (-746.062) [-664.506] (-781.836) (-753.862) -- 0:31:08
170000 -- [-683.407] (-778.084) (-758.628) (-733.577) * (-760.458) [-662.323] (-792.746) (-748.222) -- 0:31:05
Average standard deviation of split frequencies: 0.040166
171000 -- [-681.233] (-776.283) (-772.552) (-737.971) * (-749.958) [-671.510] (-794.071) (-749.759) -- 0:31:06
172000 -- [-676.283] (-760.352) (-763.458) (-733.431) * (-759.109) [-668.458] (-805.567) (-755.785) -- 0:31:02
173000 -- [-676.285] (-766.597) (-767.351) (-722.097) * (-756.247) [-665.865] (-823.004) (-758.165) -- 0:30:59
174000 -- [-681.019] (-776.875) (-771.581) (-724.941) * (-767.330) [-662.268] (-804.495) (-764.297) -- 0:30:56
175000 -- [-672.774] (-762.876) (-761.543) (-724.595) * (-743.215) [-670.251] (-790.973) (-758.215) -- 0:30:52
Average standard deviation of split frequencies: 0.038810
176000 -- [-679.709] (-766.881) (-773.707) (-742.976) * (-742.643) [-675.961] (-774.535) (-768.762) -- 0:30:53
177000 -- [-686.961] (-771.696) (-773.597) (-765.939) * (-756.177) [-672.447] (-793.575) (-767.530) -- 0:30:55
178000 -- [-681.812] (-769.913) (-777.957) (-747.677) * (-754.380) [-669.791] (-804.232) (-775.566) -- 0:30:56
179000 -- [-680.306] (-768.965) (-768.711) (-750.034) * (-747.945) [-672.279] (-782.662) (-772.478) -- 0:30:57
180000 -- [-687.264] (-770.141) (-765.002) (-752.284) * (-749.381) [-675.792] (-792.916) (-770.058) -- 0:30:58
Average standard deviation of split frequencies: 0.037062
181000 -- [-686.404] (-789.293) (-738.060) (-752.144) * (-736.072) [-671.582] (-785.171) (-788.942) -- 0:30:59
182000 -- [-677.816] (-771.872) (-741.408) (-753.730) * (-743.726) [-667.646] (-802.029) (-794.198) -- 0:31:00
183000 -- [-694.413] (-777.273) (-747.823) (-754.262) * (-748.715) [-669.084] (-780.957) (-783.778) -- 0:31:01
184000 -- [-691.976] (-772.991) (-747.770) (-747.468) * (-735.747) [-672.562] (-781.629) (-781.681) -- 0:31:02
185000 -- [-684.246] (-773.820) (-752.582) (-754.993) * (-744.046) [-673.178] (-793.389) (-767.708) -- 0:31:03
Average standard deviation of split frequencies: 0.035786
186000 -- [-692.007] (-791.455) (-763.421) (-751.314) * (-748.518) [-672.190] (-792.325) (-790.593) -- 0:31:04
187000 -- [-675.771] (-800.814) (-764.255) (-753.958) * (-748.252) [-666.128] (-806.976) (-767.940) -- 0:31:00
188000 -- [-677.341] (-799.174) (-764.516) (-767.503) * (-744.757) [-669.791] (-796.532) (-769.762) -- 0:31:01
189000 -- [-685.743] (-798.352) (-761.621) (-774.152) * (-746.642) [-670.355] (-800.514) (-779.745) -- 0:31:02
190000 -- [-686.965] (-791.638) (-744.982) (-774.969) * (-736.062) [-666.867] (-805.133) (-784.996) -- 0:31:03
Average standard deviation of split frequencies: 0.033499
191000 -- [-683.036] (-798.273) (-755.027) (-757.037) * (-743.152) [-668.017] (-806.928) (-778.391) -- 0:31:03
192000 -- [-686.669] (-777.734) (-745.722) (-774.387) * (-745.540) [-669.983] (-803.476) (-766.575) -- 0:31:04
193000 -- [-684.851] (-777.383) (-753.306) (-779.512) * (-746.588) [-674.899] (-791.394) (-782.071) -- 0:31:04
194000 -- [-683.079] (-783.161) (-755.665) (-768.055) * (-740.839) [-666.215] (-796.184) (-779.290) -- 0:31:05
195000 -- [-684.365] (-778.269) (-754.983) (-748.586) * (-746.819) [-683.666] (-806.310) (-776.984) -- 0:31:05
Average standard deviation of split frequencies: 0.032592
196000 -- [-678.464] (-778.870) (-748.738) (-749.525) * (-744.579) [-677.295] (-818.575) (-794.479) -- 0:31:06
197000 -- [-670.991] (-768.010) (-746.914) (-752.708) * (-747.862) [-673.515] (-816.166) (-781.050) -- 0:31:06
198000 -- [-671.863] (-785.743) (-749.474) (-759.951) * (-752.189) [-670.956] (-807.817) (-781.509) -- 0:31:07
199000 -- [-679.579] (-799.866) (-759.453) (-761.117) * (-756.211) [-665.087] (-797.408) (-787.782) -- 0:31:07
200000 -- [-675.646] (-781.181) (-753.757) (-751.639) * (-755.783) [-672.485] (-799.160) (-778.070) -- 0:31:07
Average standard deviation of split frequencies: 0.031738
201000 -- [-684.401] (-785.251) (-765.754) (-746.773) * (-768.756) [-675.315] (-795.700) (-764.932) -- 0:31:08
202000 -- [-680.148] (-778.067) (-761.455) (-739.311) * (-770.182) [-670.520] (-791.930) (-767.951) -- 0:31:08
203000 -- [-677.811] (-786.531) (-770.662) (-738.481) * (-769.702) [-662.582] (-800.588) (-775.104) -- 0:31:12
204000 -- [-689.851] (-788.654) (-759.266) (-748.505) * (-772.331) [-670.462] (-785.007) (-765.652) -- 0:31:12
205000 -- [-676.394] (-780.115) (-762.043) (-739.729) * (-778.499) [-667.931] (-783.687) (-763.199) -- 0:31:13
Average standard deviation of split frequencies: 0.030527
206000 -- [-683.507] (-774.122) (-759.953) (-730.544) * (-771.407) [-666.618] (-776.229) (-761.059) -- 0:31:09
207000 -- [-678.488] (-766.316) (-755.184) (-732.451) * (-773.220) [-678.485] (-799.218) (-764.355) -- 0:31:05
208000 -- [-681.314] (-760.547) (-757.596) (-731.668) * (-778.464) [-677.007] (-802.491) (-764.129) -- 0:31:01
209000 -- [-677.267] (-771.252) (-767.182) (-742.543) * (-777.713) [-669.245] (-781.468) (-765.980) -- 0:30:58
210000 -- [-675.408] (-768.058) (-761.339) (-739.291) * (-786.042) [-658.879] (-783.353) (-767.565) -- 0:30:54
Average standard deviation of split frequencies: 0.029806
211000 -- [-685.413] (-756.705) (-763.435) (-750.326) * (-783.799) [-668.412] (-781.879) (-772.850) -- 0:30:50
212000 -- [-691.557] (-758.324) (-749.651) (-751.536) * (-769.918) [-660.277] (-774.167) (-779.165) -- 0:30:47
213000 -- [-691.725] (-750.038) (-746.879) (-762.211) * (-752.179) [-665.014] (-790.693) (-765.062) -- 0:30:40
214000 -- [-681.207] (-762.759) (-749.570) (-781.851) * (-756.561) [-662.942] (-782.170) (-766.250) -- 0:30:36
215000 -- [-682.480] (-748.530) (-750.557) (-773.099) * (-756.148) [-667.214] (-777.105) (-752.083) -- 0:30:32
Average standard deviation of split frequencies: 0.030465
216000 -- [-679.368] (-748.666) (-761.257) (-752.766) * (-752.848) [-667.334] (-777.567) (-743.709) -- 0:30:29
217000 -- [-678.702] (-758.060) (-754.025) (-746.271) * (-761.479) [-681.494] (-785.811) (-742.307) -- 0:30:25
218000 -- [-679.934] (-761.777) (-744.555) (-748.535) * (-764.138) [-680.071] (-786.485) (-741.630) -- 0:30:22
219000 -- [-670.058] (-766.816) (-733.664) (-754.477) * (-739.941) [-675.799] (-782.145) (-756.323) -- 0:30:18
220000 -- [-672.162] (-760.487) (-738.547) (-745.985) * (-736.458) [-678.940] (-773.135) (-758.450) -- 0:30:15
Average standard deviation of split frequencies: 0.029317
221000 -- [-666.771] (-781.633) (-744.855) (-756.459) * (-743.733) [-674.199] (-789.455) (-747.922) -- 0:30:11
222000 -- [-664.148] (-763.942) (-737.498) (-756.228) * (-742.263) [-677.265] (-777.424) (-758.319) -- 0:30:08
223000 -- [-664.843] (-789.317) (-750.498) (-757.319) * (-733.960) [-676.452] (-790.974) (-757.742) -- 0:30:04
224000 -- [-665.142] (-780.708) (-768.020) (-752.781) * (-731.410) [-673.614] (-812.857) (-761.131) -- 0:30:01
225000 -- [-671.627] (-781.890) (-752.743) (-750.333) * (-743.583) [-667.006] (-785.110) (-753.899) -- 0:29:58
Average standard deviation of split frequencies: 0.028891
226000 -- [-674.162] (-788.753) (-745.844) (-744.073) * (-746.192) [-663.263] (-791.314) (-758.035) -- 0:29:58
227000 -- [-669.014] (-759.220) (-750.000) (-751.981) * (-740.146) [-668.215] (-800.361) (-761.611) -- 0:29:54
228000 -- [-666.099] (-783.652) (-754.552) (-744.829) * (-741.139) [-667.599] (-800.332) (-771.068) -- 0:29:51
229000 -- [-682.075] (-783.997) (-760.366) (-748.553) * (-747.036) [-664.674] (-796.768) (-761.827) -- 0:29:51
230000 -- [-674.194] (-771.705) (-747.995) (-762.198) * (-752.165) [-670.140] (-793.133) (-760.051) -- 0:29:51
Average standard deviation of split frequencies: 0.027868
231000 -- [-667.337] (-770.710) (-742.058) (-761.016) * (-739.793) [-670.394] (-783.683) (-766.606) -- 0:29:51
232000 -- [-669.810] (-770.776) (-750.183) (-765.976) * (-740.292) [-666.913] (-779.629) (-761.526) -- 0:29:54
233000 -- [-676.938] (-766.984) (-753.843) (-758.416) * (-749.005) [-672.894] (-776.396) (-762.036) -- 0:29:54
234000 -- [-671.784] (-769.250) (-738.869) (-761.277) * (-757.716) [-679.418] (-782.616) (-761.620) -- 0:29:53
235000 -- [-682.082] (-758.171) (-738.062) (-758.405) * (-755.583) [-677.736] (-763.672) (-762.984) -- 0:29:53
Average standard deviation of split frequencies: 0.026722
236000 -- [-669.218] (-754.185) (-737.719) (-754.515) * (-741.103) [-671.594] (-763.199) (-773.056) -- 0:29:53
237000 -- [-669.299] (-759.348) (-739.924) (-769.429) * (-747.700) [-679.916] (-777.944) (-760.224) -- 0:29:49
238000 -- [-669.256] (-751.113) (-741.800) (-755.890) * (-746.650) [-674.910] (-769.735) (-754.706) -- 0:29:46
239000 -- [-664.759] (-747.540) (-744.513) (-736.807) * (-741.378) [-666.715] (-778.806) (-760.682) -- 0:29:43
240000 -- [-673.306] (-756.747) (-742.706) (-736.210) * (-738.547) [-664.940] (-787.752) (-763.879) -- 0:29:39
Average standard deviation of split frequencies: 0.027289
241000 -- [-661.401] (-756.445) (-733.271) (-753.895) * (-749.827) [-674.540] (-778.512) (-757.174) -- 0:29:36
242000 -- [-661.426] (-760.943) (-746.193) (-748.309) * (-748.123) [-668.315] (-792.032) (-758.136) -- 0:29:35
243000 -- [-662.246] (-770.789) (-738.604) (-754.814) * (-755.482) [-682.825] (-782.095) (-763.454) -- 0:29:32
244000 -- [-674.362] (-756.857) (-741.157) (-764.769) * (-748.384) [-671.317] (-786.400) (-770.499) -- 0:29:29
245000 -- [-679.120] (-765.184) (-732.029) (-762.090) * (-749.037) [-673.255] (-796.309) (-777.312) -- 0:29:25
Average standard deviation of split frequencies: 0.026909
246000 -- [-669.276] (-770.746) (-741.232) (-744.815) * (-745.457) [-667.097] (-790.238) (-779.629) -- 0:29:22
247000 -- [-673.475] (-770.107) (-740.106) (-756.854) * (-751.365) [-665.166] (-788.578) (-770.291) -- 0:29:19
248000 -- [-671.864] (-771.777) (-741.142) (-748.762) * (-763.532) [-665.688] (-790.909) (-775.744) -- 0:29:15
249000 -- [-670.608] (-773.128) (-732.700) (-761.102) * (-767.194) [-667.094] (-792.663) (-779.892) -- 0:29:12
250000 -- [-677.808] (-774.458) (-733.920) (-751.556) * (-751.164) [-665.230] (-781.340) (-754.583) -- 0:29:09
Average standard deviation of split frequencies: 0.025960
251000 -- [-680.520] (-765.449) (-745.769) (-755.320) * (-765.018) [-661.051] (-794.653) (-767.458) -- 0:29:08
252000 -- [-670.146] (-766.906) (-750.545) (-752.969) * (-769.787) [-661.278] (-793.747) (-771.494) -- 0:29:08
253000 -- [-670.617] (-758.472) (-738.785) (-754.899) * (-757.145) [-666.407] (-809.533) (-766.399) -- 0:29:04
254000 -- [-668.587] (-766.736) (-735.603) (-754.699) * (-756.125) [-674.409] (-792.310) (-789.000) -- 0:29:04
255000 -- [-673.301] (-777.722) (-740.606) (-755.771) * (-754.737) [-666.477] (-782.226) (-775.404) -- 0:29:04
Average standard deviation of split frequencies: 0.025908
256000 -- [-662.082] (-777.766) (-749.909) (-740.623) * (-759.827) [-667.894] (-789.459) (-787.512) -- 0:29:03
257000 -- [-667.630] (-773.667) (-740.788) (-741.086) * (-760.678) [-665.779] (-770.129) (-779.300) -- 0:29:00
258000 -- [-682.774] (-757.117) (-746.327) (-742.973) * (-765.855) [-669.855] (-778.577) (-780.890) -- 0:28:59
259000 -- [-679.630] (-768.961) (-739.021) (-748.682) * (-760.961) [-666.373] (-777.365) (-789.565) -- 0:28:56
260000 -- [-678.873] (-768.411) (-751.056) (-748.244) * (-752.581) [-668.195] (-770.961) (-787.829) -- 0:28:53
Average standard deviation of split frequencies: 0.025491
261000 -- [-672.469] (-778.679) (-773.169) (-745.892) * (-767.131) [-663.460] (-762.712) (-799.349) -- 0:28:49
262000 -- [-671.393] (-767.690) (-761.589) (-742.313) * (-762.721) [-670.980] (-779.482) (-792.606) -- 0:28:46
263000 -- [-672.622] (-765.006) (-754.827) (-761.281) * (-757.025) [-673.404] (-770.496) (-789.296) -- 0:28:46
264000 -- [-664.753] (-761.420) (-767.733) (-743.000) * (-763.211) [-669.038] (-788.991) (-780.677) -- 0:28:42
265000 -- [-658.350] (-766.248) (-763.937) (-731.896) * (-757.001) [-679.893] (-770.659) (-786.469) -- 0:28:39
Average standard deviation of split frequencies: 0.024937
266000 -- [-668.105] (-767.668) (-758.573) (-740.437) * (-761.920) [-681.021] (-773.241) (-790.290) -- 0:28:36
267000 -- [-677.696] (-778.656) (-760.742) (-733.854) * (-765.719) [-677.350] (-781.056) (-792.266) -- 0:28:33
268000 -- [-666.962] (-773.622) (-761.677) (-732.489) * (-756.528) [-686.015] (-770.786) (-769.203) -- 0:28:29
269000 -- [-658.749] (-775.790) (-772.676) (-730.007) * (-766.118) [-679.638] (-768.543) (-787.614) -- 0:28:29
270000 -- [-670.660] (-784.442) (-769.041) (-736.442) * (-763.638) [-676.529] (-770.278) (-792.177) -- 0:28:26
Average standard deviation of split frequencies: 0.023330
271000 -- [-681.393] (-766.693) (-768.813) (-745.275) * (-759.499) [-677.830] (-785.063) (-783.792) -- 0:28:22
272000 -- [-684.262] (-769.515) (-769.556) (-740.878) * (-742.494) [-678.899] (-777.327) (-792.191) -- 0:28:22
273000 -- [-688.770] (-777.997) (-775.797) (-737.939) * (-752.357) [-678.094] (-773.541) (-796.010) -- 0:28:18
274000 -- [-681.981] (-761.062) (-763.509) (-752.530) * (-767.742) [-684.480] (-770.131) (-790.175) -- 0:28:15
275000 -- [-686.536] (-769.942) (-758.717) (-750.262) * (-776.197) [-674.773] (-765.505) (-783.283) -- 0:28:12
Average standard deviation of split frequencies: 0.023475
276000 -- [-677.289] (-771.350) (-763.205) (-736.641) * (-753.822) [-675.013] (-772.594) (-779.643) -- 0:28:09
277000 -- [-668.750] (-782.428) (-760.116) (-728.930) * (-757.853) [-673.332] (-762.902) (-776.443) -- 0:28:06
278000 -- [-668.097] (-774.441) (-760.968) (-729.880) * (-750.610) [-671.873] (-777.448) (-769.719) -- 0:28:02
279000 -- [-672.287] (-770.295) (-757.958) (-742.702) * (-748.540) [-681.593] (-782.812) (-759.118) -- 0:28:02
280000 -- [-680.426] (-767.418) (-759.525) (-740.007) * (-755.389) [-677.350] (-792.013) (-765.965) -- 0:27:59
Average standard deviation of split frequencies: 0.022754
281000 -- [-679.656] (-771.972) (-753.913) (-728.103) * (-758.738) [-676.358] (-801.060) (-790.826) -- 0:27:55
282000 -- [-664.568] (-762.105) (-762.540) (-730.092) * (-760.400) [-679.239] (-779.691) (-783.946) -- 0:27:52
283000 -- [-660.971] (-761.912) (-745.234) (-734.573) * (-769.411) [-680.471] (-786.464) (-779.786) -- 0:27:49
284000 -- [-667.512] (-771.529) (-747.674) (-737.287) * (-768.312) [-686.386] (-758.652) (-784.089) -- 0:27:46
285000 -- [-667.330] (-785.975) (-746.067) (-736.121) * (-759.596) [-672.094] (-773.117) (-778.604) -- 0:27:43
Average standard deviation of split frequencies: 0.022551
286000 -- [-669.136] (-772.593) (-748.995) (-732.301) * (-748.952) [-676.097] (-772.868) (-753.511) -- 0:27:40
287000 -- [-676.937] (-784.633) (-734.456) (-731.613) * (-746.693) [-668.150] (-766.439) (-758.026) -- 0:27:37
288000 -- [-669.468] (-787.433) (-741.591) (-734.442) * (-741.979) [-668.015] (-773.452) (-772.476) -- 0:27:36
289000 -- [-674.455] (-773.812) (-738.908) (-731.119) * (-744.957) [-667.230] (-784.133) (-767.615) -- 0:27:33
290000 -- [-665.767] (-790.194) (-733.767) (-740.382) * (-747.560) [-665.451] (-792.992) (-769.825) -- 0:27:30
Average standard deviation of split frequencies: 0.021611
291000 -- [-665.284] (-790.595) (-736.449) (-740.779) * (-737.138) [-665.537] (-796.942) (-777.212) -- 0:27:27
292000 -- [-667.997] (-784.319) (-733.196) (-747.569) * (-735.153) [-671.267] (-784.960) (-778.051) -- 0:27:23
293000 -- [-671.472] (-787.650) (-746.884) (-743.049) * (-740.489) [-670.762] (-792.442) (-783.380) -- 0:27:20
294000 -- [-672.428] (-781.634) (-742.407) (-750.656) * (-744.807) [-680.277] (-806.370) (-766.111) -- 0:27:17
295000 -- [-672.842] (-783.393) (-743.046) (-737.895) * (-747.505) [-683.091] (-788.445) (-767.597) -- 0:27:19
Average standard deviation of split frequencies: 0.020969
296000 -- [-676.842] (-789.614) (-743.502) (-730.419) * (-734.092) [-671.905] (-794.374) (-771.238) -- 0:27:18
297000 -- [-679.104] (-790.360) (-760.749) (-728.073) * (-738.274) [-669.472] (-788.745) (-779.935) -- 0:27:15
298000 -- [-674.047] (-780.020) (-746.236) (-746.229) * (-731.845) [-669.674] (-793.603) (-767.943) -- 0:27:14
299000 -- [-675.114] (-770.403) (-748.172) (-748.518) * (-740.197) [-678.888] (-782.168) (-773.530) -- 0:27:11
300000 -- [-684.784] (-783.884) (-742.548) (-759.053) * (-737.184) [-679.197] (-783.996) (-768.532) -- 0:27:08
Average standard deviation of split frequencies: 0.021017
301000 -- [-678.961] (-775.382) (-740.352) (-750.252) * (-731.852) [-676.833] (-781.536) (-753.005) -- 0:27:05
302000 -- [-673.628] (-783.378) (-739.811) (-755.658) * (-734.956) [-681.852] (-791.727) (-757.729) -- 0:27:02
303000 -- [-673.793] (-763.504) (-730.235) (-747.233) * (-746.489) [-680.455] (-784.570) (-760.692) -- 0:27:01
304000 -- [-670.836] (-769.806) (-733.576) (-758.166) * (-732.059) [-683.794] (-776.276) (-761.697) -- 0:27:03
305000 -- [-666.645] (-766.969) (-733.592) (-756.011) * (-744.539) [-681.165] (-793.421) (-767.674) -- 0:27:02
Average standard deviation of split frequencies: 0.020761
306000 -- [-669.069] (-774.595) (-736.764) (-759.406) * (-739.984) [-674.952] (-781.434) (-757.790) -- 0:27:01
307000 -- [-688.170] (-757.833) (-732.198) (-764.179) * (-729.795) [-658.558] (-794.389) (-750.306) -- 0:27:00
308000 -- [-677.606] (-766.995) (-740.391) (-758.614) * (-728.524) [-662.481] (-783.601) (-756.769) -- 0:26:59
309000 -- [-675.860] (-776.895) (-737.668) (-752.531) * (-735.791) [-660.075] (-777.037) (-745.626) -- 0:26:59
310000 -- [-676.150] (-779.918) (-752.685) (-736.949) * (-738.628) [-658.886] (-781.035) (-755.038) -- 0:26:58
Average standard deviation of split frequencies: 0.020015
311000 -- [-667.446] (-785.372) (-748.941) (-740.493) * (-747.746) [-662.629] (-790.983) (-759.157) -- 0:26:57
312000 -- [-679.975] (-778.807) (-734.901) (-755.159) * (-742.636) [-675.373] (-779.361) (-753.064) -- 0:26:54
313000 -- [-673.839] (-764.115) (-729.673) (-747.287) * (-749.733) [-684.027] (-787.606) (-753.448) -- 0:26:51
314000 -- [-671.930] (-755.171) (-745.367) (-761.425) * (-753.716) [-672.677] (-782.699) (-765.826) -- 0:26:52
315000 -- [-670.242] (-760.194) (-740.929) (-766.397) * (-747.227) [-682.567] (-788.610) (-772.608) -- 0:26:49
Average standard deviation of split frequencies: 0.019251
316000 -- [-681.156] (-766.172) (-746.199) (-756.159) * (-753.444) [-677.019] (-778.937) (-764.478) -- 0:26:48
317000 -- [-674.256] (-755.504) (-750.388) (-761.825) * (-753.355) [-674.405] (-781.474) (-767.512) -- 0:26:47
318000 -- [-681.179] (-757.873) (-747.713) (-757.063) * (-737.244) [-661.946] (-796.204) (-771.760) -- 0:26:46
319000 -- [-675.409] (-746.590) (-733.548) (-781.267) * (-751.003) [-668.826] (-782.174) (-775.225) -- 0:26:45
320000 -- [-682.300] (-743.558) (-741.075) (-772.678) * (-744.127) [-677.137] (-766.245) (-774.676) -- 0:26:44
Average standard deviation of split frequencies: 0.018045
321000 -- [-672.386] (-749.208) (-743.211) (-785.034) * (-747.480) [-670.522] (-765.401) (-775.789) -- 0:26:43
322000 -- [-684.795] (-753.831) (-741.953) (-773.490) * (-761.087) [-680.199] (-784.541) (-777.069) -- 0:26:42
323000 -- [-676.157] (-754.934) (-746.421) (-772.928) * (-762.481) [-663.364] (-770.019) (-772.727) -- 0:26:39
324000 -- [-680.001] (-756.719) (-760.481) (-771.907) * (-756.755) [-667.516] (-779.854) (-768.293) -- 0:26:36
325000 -- [-670.096] (-768.569) (-741.835) (-776.786) * (-751.399) [-663.358] (-791.705) (-783.356) -- 0:26:33
Average standard deviation of split frequencies: 0.018163
326000 -- [-666.027] (-763.811) (-743.303) (-772.645) * (-749.642) [-665.378] (-783.869) (-789.736) -- 0:26:29
327000 -- [-669.485] (-768.102) (-750.556) (-767.417) * (-744.082) [-674.211] (-782.263) (-796.782) -- 0:26:26
328000 -- [-669.958] (-759.743) (-765.843) (-763.005) * (-753.575) [-668.394] (-781.108) (-790.682) -- 0:26:23
329000 -- [-678.963] (-762.530) (-746.705) (-782.343) * (-749.008) [-671.876] (-774.172) (-786.790) -- 0:26:20
330000 -- [-676.044] (-759.865) (-747.227) (-780.439) * (-741.523) [-666.839] (-771.483) (-788.963) -- 0:26:17
Average standard deviation of split frequencies: 0.018889
331000 -- [-676.937] (-757.930) (-753.345) (-756.466) * (-737.868) [-672.803] (-769.807) (-782.848) -- 0:26:14
332000 -- [-679.853] (-759.409) (-741.164) (-760.628) * (-739.986) [-672.558] (-771.733) (-767.924) -- 0:26:13
333000 -- [-673.579] (-762.541) (-751.372) (-757.369) * (-742.081) [-669.079] (-762.902) (-769.247) -- 0:26:10
334000 -- [-673.827] (-764.741) (-759.599) (-750.443) * (-744.637) [-673.933] (-763.756) (-782.243) -- 0:26:07
335000 -- [-663.941] (-757.955) (-758.835) (-757.428) * (-745.092) [-679.691] (-752.014) (-785.844) -- 0:26:04
Average standard deviation of split frequencies: 0.018484
336000 -- [-680.808] (-766.574) (-753.072) (-744.958) * (-754.158) [-672.975] (-757.896) (-768.778) -- 0:26:01
337000 -- [-678.744] (-770.899) (-773.283) (-735.498) * (-757.944) [-670.028] (-778.580) (-767.273) -- 0:25:58
338000 -- [-682.092] (-768.021) (-756.821) (-739.540) * (-757.128) [-680.425] (-771.867) (-762.443) -- 0:25:57
339000 -- [-689.224] (-765.308) (-756.000) (-750.017) * (-740.869) [-681.379] (-773.687) (-787.906) -- 0:25:54
340000 -- [-688.736] (-769.205) (-749.938) (-754.741) * (-754.228) [-681.571] (-776.202) (-770.539) -- 0:25:51
Average standard deviation of split frequencies: 0.019763
341000 -- [-678.392] (-766.266) (-763.319) (-765.593) * (-759.737) [-689.369] (-780.638) (-758.391) -- 0:25:47
342000 -- [-693.465] (-768.169) (-760.152) (-753.540) * (-750.330) [-680.196] (-790.117) (-760.211) -- 0:25:44
343000 -- [-680.396] (-769.555) (-758.327) (-765.812) * (-755.441) [-684.293] (-784.294) (-760.108) -- 0:25:41
344000 -- [-676.481] (-785.835) (-751.445) (-758.839) * (-751.943) [-678.534] (-793.845) (-778.959) -- 0:25:40
345000 -- [-681.939] (-776.461) (-736.187) (-742.268) * (-741.311) [-676.840] (-800.652) (-778.631) -- 0:25:37
Average standard deviation of split frequencies: 0.021065
346000 -- [-674.222] (-785.673) (-742.713) (-735.842) * (-747.391) [-679.451] (-787.919) (-791.869) -- 0:25:34
347000 -- [-665.895] (-774.838) (-738.960) (-746.958) * (-744.061) [-683.565] (-791.887) (-787.474) -- 0:25:31
348000 -- [-663.446] (-775.172) (-741.683) (-749.627) * (-740.726) [-672.000] (-787.941) (-795.015) -- 0:25:28
349000 -- [-676.283] (-761.826) (-747.731) (-734.635) * (-745.343) [-672.400] (-799.793) (-783.853) -- 0:25:25
350000 -- [-667.391] (-768.428) (-754.767) (-725.577) * (-756.636) [-663.726] (-780.713) (-785.175) -- 0:25:22
Average standard deviation of split frequencies: 0.021061
351000 -- [-666.673] (-776.435) (-761.346) (-730.024) * (-757.625) [-665.808] (-776.293) (-775.944) -- 0:25:19
352000 -- [-678.636] (-774.019) (-753.747) (-731.237) * (-768.545) [-668.933] (-780.640) (-774.130) -- 0:25:18
353000 -- [-673.006] (-763.645) (-761.472) (-728.983) * (-765.529) [-668.947] (-796.851) (-772.725) -- 0:25:15
354000 -- [-666.438] (-780.806) (-745.623) (-748.963) * (-753.837) [-678.315] (-808.781) (-768.944) -- 0:25:12
355000 -- [-656.854] (-778.705) (-748.220) (-749.944) * (-739.998) [-676.422] (-804.449) (-782.748) -- 0:25:09
Average standard deviation of split frequencies: 0.020779
356000 -- [-667.225] (-773.919) (-754.390) (-738.804) * (-764.868) [-665.098] (-802.271) (-782.229) -- 0:25:06
357000 -- [-668.328] (-764.185) (-756.776) (-749.325) * (-756.443) [-670.447] (-800.193) (-779.516) -- 0:25:03
358000 -- [-672.068] (-760.028) (-755.004) (-745.700) * (-768.428) [-673.311] (-800.744) (-782.597) -- 0:25:00
359000 -- [-676.914] (-781.127) (-763.861) (-757.332) * (-747.016) [-671.521] (-790.587) (-770.308) -- 0:24:59
360000 -- [-669.006] (-771.741) (-754.922) (-759.385) * (-745.697) [-675.212] (-781.471) (-763.591) -- 0:24:58
Average standard deviation of split frequencies: 0.020779
361000 -- [-668.878] (-774.684) (-762.441) (-756.956) * (-750.585) [-670.874] (-793.020) (-760.093) -- 0:24:55
362000 -- [-668.192] (-762.190) (-752.799) (-761.153) * (-753.913) [-671.100] (-772.449) (-748.304) -- 0:24:54
363000 -- [-674.206] (-775.079) (-760.510) (-758.427) * (-748.588) [-665.254] (-799.232) (-764.933) -- 0:24:53
364000 -- [-675.192] (-771.109) (-758.166) (-755.011) * (-754.753) [-663.086] (-782.623) (-771.501) -- 0:24:52
365000 -- [-668.328] (-778.550) (-752.358) (-763.631) * (-758.324) [-662.799] (-803.816) (-776.346) -- 0:24:50
Average standard deviation of split frequencies: 0.020994
366000 -- [-664.142] (-770.036) (-752.981) (-766.427) * (-746.550) [-673.016] (-801.884) (-782.786) -- 0:24:49
367000 -- [-675.503] (-756.910) (-744.900) (-772.902) * (-749.970) [-674.454] (-789.767) (-769.010) -- 0:24:48
368000 -- [-672.236] (-761.468) (-739.410) (-769.725) * (-761.992) [-671.889] (-789.886) (-785.020) -- 0:24:47
369000 -- [-676.383] (-780.638) (-741.648) (-760.715) * (-761.035) [-678.458] (-771.085) (-784.965) -- 0:24:46
370000 -- [-675.796] (-784.430) (-741.813) (-751.221) * (-761.232) [-669.315] (-790.241) (-779.088) -- 0:24:44
Average standard deviation of split frequencies: 0.020889
371000 -- [-678.583] (-777.448) (-742.707) (-767.254) * (-746.383) [-683.322] (-813.489) (-788.818) -- 0:24:43
372000 -- [-683.868] (-788.861) (-745.673) (-761.041) * (-758.715) [-681.553] (-805.450) (-784.532) -- 0:24:42
373000 -- [-679.750] (-781.620) (-749.035) (-764.756) * (-752.704) [-678.528] (-778.426) (-773.929) -- 0:24:40
374000 -- [-673.814] (-788.671) (-745.389) (-765.539) * (-763.657) [-683.432] (-768.108) (-771.769) -- 0:24:39
375000 -- [-673.772] (-773.065) (-753.919) (-762.741) * (-761.545) [-672.789] (-788.426) (-783.291) -- 0:24:38
Average standard deviation of split frequencies: 0.021024
376000 -- [-661.358] (-775.070) (-747.099) (-764.879) * (-760.221) [-679.357] (-765.533) (-779.944) -- 0:24:37
377000 -- [-665.804] (-776.978) (-750.406) (-762.907) * (-756.198) [-678.115] (-784.678) (-769.222) -- 0:24:35
378000 -- [-668.826] (-785.504) (-746.921) (-766.555) * (-757.461) [-684.173] (-778.392) (-768.740) -- 0:24:34
379000 -- [-668.785] (-780.568) (-754.063) (-757.543) * (-760.844) [-675.022] (-777.375) (-757.660) -- 0:24:33
380000 -- [-666.837] (-784.815) (-760.328) (-747.487) * (-761.647) [-674.031] (-773.375) (-750.900) -- 0:24:31
Average standard deviation of split frequencies: 0.021084
381000 -- [-677.651] (-794.570) (-753.263) (-749.690) * (-763.906) [-679.649] (-758.137) (-767.650) -- 0:24:30
382000 -- [-669.890] (-791.060) (-779.855) (-748.655) * (-779.116) [-677.251] (-767.983) (-767.664) -- 0:24:28
383000 -- [-670.147] (-781.037) (-759.440) (-741.285) * (-784.190) [-672.241] (-784.756) (-763.430) -- 0:24:27
384000 -- [-664.541] (-770.885) (-749.254) (-750.724) * (-779.973) [-670.982] (-779.292) (-771.815) -- 0:24:26
385000 -- [-669.335] (-777.040) (-749.694) (-753.520) * (-772.365) [-674.974] (-767.898) (-769.618) -- 0:24:24
Average standard deviation of split frequencies: 0.021325
386000 -- [-671.994] (-777.131) (-750.952) (-748.364) * (-764.341) [-680.522] (-774.465) (-762.863) -- 0:24:21
387000 -- [-665.844] (-799.360) (-759.591) (-746.435) * (-758.620) [-682.149] (-780.009) (-769.721) -- 0:24:20
388000 -- [-677.614] (-789.751) (-765.735) (-744.433) * (-762.986) [-678.663] (-766.417) (-772.013) -- 0:24:19
389000 -- [-669.010] (-771.528) (-770.549) (-735.788) * (-758.733) [-675.925] (-764.399) (-771.774) -- 0:24:17
390000 -- [-674.616] (-778.360) (-767.051) (-748.162) * (-760.897) [-676.210] (-767.599) (-765.762) -- 0:24:16
Average standard deviation of split frequencies: 0.021509
391000 -- [-668.903] (-785.726) (-770.289) (-755.893) * (-766.152) [-674.482] (-775.690) (-778.188) -- 0:24:14
392000 -- [-672.827] (-774.223) (-768.873) (-747.683) * (-764.619) [-677.931] (-777.456) (-766.160) -- 0:24:13
393000 -- [-677.493] (-775.024) (-773.463) (-745.513) * (-771.481) [-672.146] (-769.552) (-765.922) -- 0:24:11
394000 -- [-672.128] (-772.624) (-765.619) (-747.634) * (-756.382) [-662.786] (-764.510) (-763.191) -- 0:24:10
395000 -- [-675.065] (-759.148) (-753.776) (-739.294) * (-760.671) [-661.982] (-761.520) (-774.998) -- 0:24:08
Average standard deviation of split frequencies: 0.021755
396000 -- [-674.393] (-773.842) (-748.920) (-745.590) * (-766.829) [-657.729] (-768.468) (-776.426) -- 0:24:07
397000 -- [-668.031] (-769.875) (-764.680) (-735.708) * (-774.771) [-661.195] (-776.316) (-771.734) -- 0:24:05
398000 -- [-670.598] (-770.152) (-755.836) (-748.902) * (-770.192) [-661.293] (-770.073) (-780.069) -- 0:24:04
399000 -- [-678.510] (-770.317) (-751.664) (-751.963) * (-769.025) [-659.987] (-776.569) (-784.724) -- 0:24:03
400000 -- [-673.019] (-774.329) (-759.888) (-750.249) * (-782.723) [-672.887] (-780.081) (-784.346) -- 0:24:01
Average standard deviation of split frequencies: 0.022001
401000 -- [-678.192] (-766.350) (-744.418) (-749.016) * (-774.840) [-665.356] (-781.575) (-785.970) -- 0:23:59
402000 -- [-665.121] (-755.818) (-746.427) (-755.893) * (-780.380) [-658.655] (-773.210) (-810.551) -- 0:23:58
403000 -- [-667.017] (-757.823) (-734.798) (-746.612) * (-778.280) [-665.115] (-785.615) (-798.460) -- 0:23:56
404000 -- [-668.174] (-769.288) (-742.972) (-771.950) * (-766.839) [-673.059] (-781.933) (-790.403) -- 0:23:55
405000 -- [-677.497] (-768.154) (-734.438) (-766.517) * (-777.502) [-666.356] (-790.636) (-778.448) -- 0:23:53
Average standard deviation of split frequencies: 0.021916
406000 -- [-676.610] (-769.674) (-735.628) (-758.561) * (-772.092) [-665.790] (-780.961) (-792.407) -- 0:23:52
407000 -- [-675.199] (-775.488) (-731.128) (-755.310) * (-778.156) [-669.501] (-772.454) (-802.284) -- 0:23:50
408000 -- [-683.783] (-773.866) (-735.366) (-760.042) * (-784.198) [-669.503] (-771.369) (-798.720) -- 0:23:49
409000 -- [-678.158] (-783.822) (-738.964) (-738.957) * (-789.034) [-673.126] (-764.560) (-801.378) -- 0:23:47
410000 -- [-673.577] (-776.383) (-738.400) (-734.795) * (-774.694) [-669.208] (-766.224) (-800.034) -- 0:23:46
Average standard deviation of split frequencies: 0.021586
411000 -- [-665.383] (-769.830) (-735.039) (-741.062) * (-766.092) [-670.585] (-774.930) (-801.409) -- 0:23:44
412000 -- [-671.182] (-770.992) (-749.839) (-732.237) * (-769.902) [-669.217] (-768.709) (-803.513) -- 0:23:42
413000 -- [-676.542] (-772.288) (-759.172) (-732.025) * (-765.892) [-673.372] (-768.595) (-790.116) -- 0:23:41
414000 -- [-672.131] (-780.771) (-760.854) (-742.574) * (-779.515) [-681.109] (-773.772) (-780.809) -- 0:23:39
415000 -- [-661.757] (-779.924) (-757.615) (-754.339) * (-772.132) [-678.161] (-776.161) (-771.375) -- 0:23:39
Average standard deviation of split frequencies: 0.022830
416000 -- [-664.161] (-805.669) (-755.380) (-763.052) * (-759.491) [-673.695] (-780.411) (-771.384) -- 0:23:37
417000 -- [-664.456] (-783.469) (-758.525) (-762.898) * (-766.310) [-676.242] (-782.600) (-766.544) -- 0:23:36
418000 -- [-662.118] (-802.293) (-750.949) (-743.935) * (-746.084) [-677.016] (-785.400) (-768.785) -- 0:23:34
419000 -- [-668.306] (-793.662) (-760.410) (-742.828) * (-748.202) [-666.192] (-776.814) (-786.264) -- 0:23:32
420000 -- [-669.613] (-793.645) (-749.997) (-754.023) * (-752.115) [-660.668] (-774.673) (-776.305) -- 0:23:31
Average standard deviation of split frequencies: 0.022932
421000 -- [-665.664] (-787.261) (-748.717) (-751.414) * (-762.096) [-672.882] (-791.419) (-760.409) -- 0:23:29
422000 -- [-670.213] (-789.227) (-730.658) (-755.417) * (-782.042) [-676.635] (-797.842) (-758.440) -- 0:23:28
423000 -- [-672.257] (-784.537) (-754.212) (-750.549) * (-772.633) [-672.644] (-793.355) (-755.087) -- 0:23:26
424000 -- [-675.921] (-766.011) (-758.222) (-753.553) * (-764.304) [-677.581] (-772.311) (-752.512) -- 0:23:24
425000 -- [-685.914] (-767.751) (-762.205) (-751.021) * (-766.846) [-679.261] (-778.405) (-755.308) -- 0:23:21
Average standard deviation of split frequencies: 0.023535
426000 -- [-675.314] (-768.732) (-769.998) (-745.969) * (-760.278) [-679.824] (-773.690) (-769.246) -- 0:23:19
427000 -- [-681.449] (-771.411) (-759.288) (-748.604) * (-761.775) [-692.777] (-780.482) (-773.267) -- 0:23:18
428000 -- [-683.983] (-773.774) (-758.366) (-753.858) * (-756.809) [-664.789] (-765.532) (-769.652) -- 0:23:16
429000 -- [-696.535] (-779.361) (-750.845) (-746.477) * (-748.644) [-676.509] (-771.261) (-770.967) -- 0:23:14
430000 -- [-679.451] (-783.720) (-756.496) (-747.161) * (-756.747) [-668.304] (-782.625) (-771.630) -- 0:23:13
Average standard deviation of split frequencies: 0.023948
431000 -- [-681.002] (-793.030) (-753.032) (-733.608) * (-759.183) [-663.094] (-811.647) (-769.661) -- 0:23:11
432000 -- [-682.985] (-774.679) (-758.874) (-739.986) * (-763.458) [-662.966] (-803.354) (-779.213) -- 0:23:09
433000 -- [-682.834] (-763.357) (-758.974) (-732.545) * (-760.731) [-666.845] (-783.298) (-781.236) -- 0:23:08
434000 -- [-683.878] (-765.986) (-768.091) (-744.051) * (-756.145) [-671.430] (-772.310) (-796.316) -- 0:23:06
435000 -- [-682.243] (-765.020) (-763.323) (-740.530) * (-757.956) [-660.959] (-773.013) (-786.559) -- 0:23:04
Average standard deviation of split frequencies: 0.023169
436000 -- [-684.741] (-756.568) (-770.801) (-731.754) * (-750.769) [-667.078] (-780.800) (-777.668) -- 0:23:04
437000 -- [-679.503] (-745.526) (-765.708) (-738.515) * (-757.649) [-667.080] (-767.931) (-769.464) -- 0:23:02
438000 -- [-677.467] (-752.399) (-771.882) (-739.716) * (-766.254) [-660.897] (-780.096) (-771.972) -- 0:23:00
439000 -- [-685.076] (-757.043) (-772.725) (-741.833) * (-768.196) [-666.824] (-766.652) (-760.511) -- 0:22:58
440000 -- [-680.415] (-760.820) (-782.634) (-742.382) * (-764.414) [-678.723] (-770.143) (-761.551) -- 0:22:55
Average standard deviation of split frequencies: 0.023065
441000 -- [-684.365] (-759.791) (-775.989) (-730.790) * (-776.452) [-678.690] (-769.072) (-773.860) -- 0:22:52
442000 -- [-677.276] (-756.752) (-770.833) (-736.609) * (-766.251) [-670.310] (-757.130) (-777.153) -- 0:22:49
443000 -- [-670.209] (-765.375) (-771.751) (-740.638) * (-761.876) [-675.844] (-757.419) (-780.965) -- 0:22:46
444000 -- [-671.252] (-773.136) (-766.733) (-760.228) * (-756.784) [-676.313] (-748.276) (-769.560) -- 0:22:43
445000 -- [-671.834] (-766.149) (-764.880) (-747.757) * (-756.363) [-681.528] (-770.663) (-767.037) -- 0:22:40
Average standard deviation of split frequencies: 0.022725
446000 -- [-670.150] (-760.535) (-773.805) (-762.159) * (-751.722) [-667.000] (-786.859) (-761.505) -- 0:22:38
447000 -- [-670.230] (-768.251) (-762.138) (-758.469) * (-755.037) [-676.933] (-780.477) (-766.955) -- 0:22:35
448000 -- [-678.473] (-763.089) (-766.871) (-737.595) * (-752.449) [-671.549] (-788.278) (-766.776) -- 0:22:35
449000 -- [-687.589] (-758.633) (-778.492) (-748.848) * (-757.668) [-668.072] (-783.131) (-766.859) -- 0:22:32
450000 -- [-686.800] (-766.043) (-775.760) (-742.593) * (-745.806) [-673.399] (-787.763) (-755.832) -- 0:22:30
Average standard deviation of split frequencies: 0.022885
451000 -- [-671.697] (-760.972) (-772.534) (-748.096) * (-760.338) [-679.818] (-783.965) (-752.776) -- 0:22:28
452000 -- [-673.983] (-758.570) (-789.313) (-741.632) * (-761.188) [-676.437] (-782.841) (-757.943) -- 0:22:26
453000 -- [-682.645] (-748.452) (-758.359) (-735.378) * (-757.263) [-687.976] (-783.664) (-748.630) -- 0:22:23
454000 -- [-673.986] (-745.335) (-774.002) (-732.184) * (-767.927) [-676.783] (-764.325) (-755.395) -- 0:22:20
455000 -- [-677.985] (-759.874) (-747.326) (-743.420) * (-759.568) [-671.619] (-754.186) (-772.670) -- 0:22:17
Average standard deviation of split frequencies: 0.022239
456000 -- [-687.617] (-765.389) (-754.039) (-740.687) * (-754.792) [-669.392] (-759.874) (-772.512) -- 0:22:14
457000 -- [-674.363] (-768.359) (-751.675) (-737.024) * (-749.877) [-666.676] (-763.895) (-757.735) -- 0:22:11
458000 -- [-668.737] (-769.153) (-762.040) (-739.673) * (-769.493) [-664.416] (-772.621) (-776.663) -- 0:22:08
459000 -- [-669.239] (-762.407) (-755.983) (-746.332) * (-754.094) [-666.823] (-771.907) (-784.767) -- 0:22:05
460000 -- [-679.039] (-758.227) (-760.126) (-748.842) * (-765.342) [-668.867] (-770.892) (-767.402) -- 0:22:03
Average standard deviation of split frequencies: 0.022039
461000 -- [-679.427] (-767.271) (-754.878) (-757.546) * (-760.487) [-673.638] (-777.199) (-775.555) -- 0:22:00
462000 -- [-680.059] (-771.644) (-751.063) (-758.012) * (-761.644) [-669.506] (-775.396) (-770.751) -- 0:21:57
463000 -- [-673.119] (-769.262) (-752.804) (-754.539) * (-785.040) [-679.538] (-762.455) (-770.045) -- 0:21:54
464000 -- [-669.227] (-769.860) (-763.378) (-756.388) * (-774.091) [-681.969] (-771.910) (-775.640) -- 0:21:51
465000 -- [-671.446] (-769.129) (-756.528) (-758.098) * (-753.530) [-679.409] (-769.692) (-772.049) -- 0:21:49
Average standard deviation of split frequencies: 0.021860
466000 -- [-672.331] (-767.823) (-755.606) (-749.628) * (-752.878) [-679.827] (-773.951) (-772.680) -- 0:21:46
467000 -- [-659.293] (-767.479) (-761.400) (-726.351) * (-753.149) [-681.613] (-784.001) (-782.203) -- 0:21:43
468000 -- [-661.965] (-779.098) (-755.585) (-743.213) * (-759.974) [-681.733] (-782.006) (-774.195) -- 0:21:40
469000 -- [-670.653] (-783.332) (-754.217) (-740.561) * (-750.836) [-681.801] (-781.629) (-761.116) -- 0:21:38
470000 -- [-671.521] (-786.392) (-762.415) (-742.805) * (-748.647) [-676.381] (-801.320) (-763.965) -- 0:21:35
Average standard deviation of split frequencies: 0.021717
471000 -- [-662.897] (-779.161) (-754.234) (-724.795) * (-763.972) [-668.914] (-789.543) (-770.196) -- 0:21:32
472000 -- [-666.947] (-777.012) (-733.636) (-725.427) * (-757.097) [-670.056] (-786.881) (-762.639) -- 0:21:29
473000 -- [-671.665] (-759.656) (-739.813) (-738.713) * (-747.716) [-661.499] (-789.582) (-774.480) -- 0:21:26
474000 -- [-669.906] (-766.340) (-742.465) (-734.733) * (-743.334) [-663.725] (-796.196) (-765.535) -- 0:21:23
475000 -- [-676.751] (-773.391) (-751.748) (-741.374) * (-729.527) [-664.672] (-788.809) (-775.992) -- 0:21:21
Average standard deviation of split frequencies: 0.021401
476000 -- [-680.534] (-775.349) (-747.634) (-738.261) * (-741.487) [-668.583] (-812.764) (-772.365) -- 0:21:19
477000 -- [-670.562] (-775.009) (-767.911) (-745.191) * (-743.782) [-673.170] (-781.176) (-767.817) -- 0:21:16
478000 -- [-672.183] (-792.524) (-765.681) (-736.397) * (-745.108) [-679.003] (-799.097) (-762.454) -- 0:21:13
479000 -- [-677.006] (-769.603) (-772.858) (-738.167) * (-731.957) [-674.267] (-809.003) (-769.981) -- 0:21:10
480000 -- [-676.830] (-776.223) (-751.606) (-751.878) * (-725.999) [-672.714] (-816.832) (-775.521) -- 0:21:07
Average standard deviation of split frequencies: 0.021791
481000 -- [-673.162] (-786.281) (-757.409) (-745.805) * (-738.308) [-679.324] (-798.056) (-759.817) -- 0:21:05
482000 -- [-671.536] (-772.761) (-762.277) (-750.623) * (-743.324) [-663.472] (-791.008) (-766.182) -- 0:21:03
483000 -- [-667.445] (-776.569) (-765.380) (-751.881) * (-741.874) [-664.659] (-794.179) (-772.525) -- 0:21:01
484000 -- [-674.748] (-779.113) (-764.286) (-757.450) * (-748.983) [-665.824] (-801.747) (-779.851) -- 0:21:00
485000 -- [-670.886] (-785.854) (-745.701) (-744.517) * (-751.193) [-671.634] (-802.241) (-764.959) -- 0:20:58
Average standard deviation of split frequencies: 0.021640
486000 -- [-679.993] (-777.650) (-739.209) (-745.046) * (-751.326) [-683.160] (-804.908) (-776.791) -- 0:20:56
487000 -- [-673.576] (-780.407) (-743.906) (-746.871) * (-762.298) [-677.176] (-806.252) (-773.878) -- 0:20:54
488000 -- [-667.781] (-783.111) (-756.260) (-728.261) * (-742.812) [-675.420] (-802.718) (-761.076) -- 0:20:52
489000 -- [-666.209] (-786.272) (-749.866) (-740.552) * (-746.531) [-667.355] (-801.991) (-753.783) -- 0:20:50
490000 -- [-674.142] (-775.081) (-754.929) (-734.343) * (-755.580) [-665.833] (-794.169) (-763.992) -- 0:20:48
Average standard deviation of split frequencies: 0.021411
491000 -- [-673.196] (-782.569) (-752.502) (-739.684) * (-749.020) [-666.685] (-783.168) (-760.225) -- 0:20:47
492000 -- [-671.632] (-786.204) (-745.269) (-740.530) * (-755.078) [-681.618] (-794.194) (-762.296) -- 0:20:45
493000 -- [-676.139] (-769.898) (-750.701) (-737.797) * (-756.768) [-690.026] (-785.756) (-757.032) -- 0:20:42
494000 -- [-670.630] (-775.288) (-743.085) (-743.101) * (-770.096) [-680.398] (-792.199) (-759.493) -- 0:20:39
495000 -- [-678.724] (-766.618) (-735.946) (-737.237) * (-765.147) [-670.587] (-794.393) (-762.909) -- 0:20:37
Average standard deviation of split frequencies: 0.021497
496000 -- [-683.837] (-765.999) (-744.560) (-734.268) * (-767.832) [-677.494] (-772.586) (-764.153) -- 0:20:35
497000 -- [-684.712] (-764.907) (-743.833) (-729.872) * (-766.834) [-683.618] (-785.601) (-756.125) -- 0:20:33
498000 -- [-683.844] (-766.380) (-735.426) (-724.972) * (-762.004) [-683.983] (-790.831) (-757.158) -- 0:20:31
499000 -- [-671.263] (-758.355) (-759.047) (-731.575) * (-752.856) [-695.754] (-783.534) (-746.390) -- 0:20:29
500000 -- [-669.074] (-759.993) (-764.531) (-734.264) * (-758.617) [-688.684] (-795.714) (-758.692) -- 0:20:28
Average standard deviation of split frequencies: 0.022104
501000 -- [-675.763] (-766.038) (-779.855) (-750.933) * (-763.812) [-679.069] (-799.551) (-759.948) -- 0:20:26
502000 -- [-683.266] (-763.681) (-751.279) (-742.327) * (-762.045) [-680.486] (-795.058) (-757.497) -- 0:20:24
503000 -- [-690.827] (-778.994) (-740.809) (-752.137) * (-743.445) [-682.793] (-797.537) (-759.571) -- 0:20:22
504000 -- [-681.927] (-770.611) (-751.515) (-732.549) * (-757.395) [-687.945] (-788.482) (-761.359) -- 0:20:20
505000 -- [-683.553] (-770.072) (-760.431) (-732.449) * (-761.161) [-695.488] (-779.253) (-765.128) -- 0:20:17
Average standard deviation of split frequencies: 0.021947
506000 -- [-676.768] (-779.368) (-777.098) (-732.417) * (-760.559) [-685.000] (-784.385) (-766.006) -- 0:20:14
507000 -- [-683.081] (-774.654) (-768.322) (-726.291) * (-759.537) [-679.280] (-780.589) (-775.956) -- 0:20:11
508000 -- [-680.736] (-776.344) (-768.764) (-738.478) * (-758.299) [-670.464] (-777.736) (-771.412) -- 0:20:08
509000 -- [-675.670] (-773.377) (-757.482) (-741.361) * (-748.777) [-671.926] (-781.825) (-773.270) -- 0:20:06
510000 -- [-677.090] (-777.759) (-768.379) (-742.554) * (-757.375) [-673.902] (-780.964) (-770.981) -- 0:20:05
Average standard deviation of split frequencies: 0.021403
511000 -- [-673.358] (-762.228) (-764.889) (-745.714) * (-753.055) [-664.692] (-786.853) (-776.000) -- 0:20:03
512000 -- [-687.123] (-764.611) (-769.614) (-742.338) * (-760.681) [-665.903] (-777.470) (-775.191) -- 0:20:01
513000 -- [-680.018] (-771.205) (-748.376) (-726.278) * (-753.248) [-671.602] (-771.049) (-770.849) -- 0:19:59
514000 -- [-680.125] (-763.953) (-747.340) (-735.923) * (-748.841) [-657.540] (-779.072) (-761.908) -- 0:19:57
515000 -- [-667.173] (-775.152) (-757.878) (-738.797) * (-745.280) [-670.723] (-781.414) (-762.032) -- 0:19:56
Average standard deviation of split frequencies: 0.021395
516000 -- [-668.405] (-790.249) (-757.533) (-749.091) * (-751.932) [-670.219] (-780.941) (-766.849) -- 0:19:54
517000 -- [-669.653] (-771.106) (-755.352) (-739.349) * (-747.785) [-670.153] (-773.080) (-778.083) -- 0:19:52
518000 -- [-668.529] (-768.000) (-760.461) (-744.869) * (-741.440) [-666.233] (-790.814) (-781.332) -- 0:19:50
519000 -- [-671.403] (-788.685) (-748.759) (-746.469) * (-738.403) [-668.604] (-774.159) (-782.021) -- 0:19:48
520000 -- [-674.443] (-789.571) (-742.470) (-748.295) * (-734.110) [-683.058] (-767.686) (-798.007) -- 0:19:45
Average standard deviation of split frequencies: 0.021034
521000 -- [-681.856] (-782.266) (-758.276) (-743.716) * (-749.978) [-668.573] (-769.762) (-780.901) -- 0:19:44
522000 -- [-673.024] (-783.558) (-744.405) (-742.404) * (-766.232) [-683.651] (-786.434) (-775.650) -- 0:19:42
523000 -- [-667.182] (-778.864) (-738.768) (-752.278) * (-746.554) [-673.405] (-788.425) (-779.523) -- 0:19:40
524000 -- [-669.443] (-776.879) (-744.438) (-750.070) * (-756.246) [-668.603] (-790.340) (-776.959) -- 0:19:38
525000 -- [-670.218] (-791.615) (-748.770) (-740.311) * (-739.882) [-667.413] (-791.371) (-768.926) -- 0:19:36
Average standard deviation of split frequencies: 0.020967
526000 -- [-674.107] (-793.928) (-757.227) (-741.140) * (-748.397) [-675.681] (-798.999) (-760.367) -- 0:19:34
527000 -- [-669.981] (-792.744) (-772.776) (-748.506) * (-746.434) [-674.995] (-807.719) (-764.943) -- 0:19:32
528000 -- [-668.824] (-802.382) (-756.268) (-754.543) * (-738.919) [-675.694] (-794.801) (-758.145) -- 0:19:30
529000 -- [-667.421] (-785.847) (-758.932) (-748.146) * (-743.284) [-674.486] (-792.500) (-755.084) -- 0:19:28
530000 -- [-680.007] (-796.853) (-759.831) (-732.945) * (-747.716) [-671.016] (-806.887) (-757.263) -- 0:19:26
Average standard deviation of split frequencies: 0.021905
531000 -- [-692.361] (-796.929) (-744.435) (-742.334) * (-752.566) [-670.726] (-809.975) (-754.686) -- 0:19:24
532000 -- [-689.192] (-802.777) (-744.393) (-747.989) * (-753.941) [-678.843] (-790.147) (-757.271) -- 0:19:22
533000 -- [-690.703] (-789.799) (-744.344) (-745.982) * (-751.947) [-684.501] (-792.713) (-767.641) -- 0:19:20
534000 -- [-689.817] (-782.704) (-743.415) (-743.890) * (-750.179) [-683.845] (-787.372) (-748.727) -- 0:19:18
535000 -- [-678.983] (-796.984) (-741.258) (-753.680) * (-749.603) [-684.142] (-784.937) (-759.713) -- 0:19:15
Average standard deviation of split frequencies: 0.021966
536000 -- [-680.170] (-789.852) (-741.488) (-744.229) * (-758.270) [-680.937] (-780.835) (-768.005) -- 0:19:13
537000 -- [-671.501] (-795.848) (-747.851) (-734.585) * (-758.995) [-671.530] (-776.016) (-763.823) -- 0:19:11
538000 -- [-670.039] (-794.107) (-749.186) (-737.085) * (-741.059) [-676.128] (-766.172) (-763.601) -- 0:19:09
539000 -- [-670.289] (-793.813) (-748.296) (-740.545) * (-751.073) [-671.938] (-777.746) (-772.129) -- 0:19:07
540000 -- [-659.453] (-810.341) (-745.699) (-746.154) * (-747.130) [-674.390] (-779.403) (-770.600) -- 0:19:05
Average standard deviation of split frequencies: 0.021901
541000 -- [-660.964] (-817.782) (-748.801) (-737.559) * (-747.345) [-686.828] (-782.255) (-776.657) -- 0:19:03
542000 -- [-656.891] (-812.401) (-758.806) (-739.865) * (-736.753) [-673.586] (-781.516) (-776.181) -- 0:19:01
543000 -- [-660.356] (-809.237) (-751.772) (-738.644) * (-756.892) [-680.430] (-778.117) (-764.911) -- 0:18:59
544000 -- [-664.426] (-794.368) (-745.945) (-744.644) * (-760.363) [-677.005] (-784.219) (-773.857) -- 0:18:57
545000 -- [-675.005] (-804.101) (-740.880) (-753.381) * (-754.746) [-669.476] (-782.911) (-762.229) -- 0:18:55
Average standard deviation of split frequencies: 0.021954
546000 -- [-670.769] (-785.637) (-744.011) (-752.838) * (-748.796) [-673.911] (-789.965) (-771.283) -- 0:18:53
547000 -- [-669.142] (-786.243) (-746.371) (-758.726) * (-737.158) [-679.723] (-792.950) (-782.480) -- 0:18:51
548000 -- [-672.752] (-768.952) (-744.116) (-750.678) * (-750.805) [-688.523] (-787.092) (-767.048) -- 0:18:49
549000 -- [-683.842] (-777.625) (-735.647) (-737.348) * (-744.748) [-689.133] (-781.282) (-776.667) -- 0:18:46
550000 -- [-684.729] (-779.598) (-735.365) (-734.605) * (-752.903) [-685.944] (-777.506) (-786.591) -- 0:18:44
Average standard deviation of split frequencies: 0.022380
551000 -- [-673.838] (-782.016) (-746.447) (-745.013) * (-750.650) [-678.256] (-766.570) (-776.108) -- 0:18:42
552000 -- [-662.729] (-781.974) (-751.629) (-747.245) * (-759.896) [-673.013] (-764.179) (-775.497) -- 0:18:40
553000 -- [-667.080] (-772.300) (-756.039) (-770.962) * (-744.360) [-673.487] (-767.152) (-757.962) -- 0:18:37
554000 -- [-673.065] (-776.451) (-748.030) (-762.598) * (-742.291) [-667.690] (-777.003) (-768.965) -- 0:18:35
555000 -- [-673.891] (-794.186) (-740.862) (-768.034) * (-757.584) [-660.325] (-778.839) (-778.305) -- 0:18:33
Average standard deviation of split frequencies: 0.022811
556000 -- [-666.991] (-792.578) (-740.521) (-767.327) * (-755.921) [-668.734] (-781.366) (-766.627) -- 0:18:31
557000 -- [-659.573] (-807.926) (-740.634) (-762.407) * (-745.929) [-676.535] (-770.787) (-763.496) -- 0:18:29
558000 -- [-665.153] (-803.789) (-744.973) (-771.663) * (-739.514) [-680.850] (-775.202) (-765.748) -- 0:18:28
559000 -- [-670.098] (-788.639) (-747.609) (-759.185) * (-742.825) [-680.166] (-775.116) (-758.029) -- 0:18:26
560000 -- [-664.847] (-772.540) (-756.616) (-786.074) * (-745.227) [-678.476] (-775.771) (-750.475) -- 0:18:23
Average standard deviation of split frequencies: 0.022701
561000 -- [-667.885] (-780.032) (-750.623) (-759.549) * (-756.888) [-670.447] (-773.751) (-779.794) -- 0:18:21
562000 -- [-668.599] (-783.226) (-747.023) (-749.810) * (-747.090) [-685.086] (-769.454) (-769.177) -- 0:18:18
563000 -- [-660.371] (-805.260) (-740.423) (-742.915) * (-759.439) [-687.449] (-766.409) (-768.442) -- 0:18:16
564000 -- [-673.518] (-786.573) (-740.272) (-748.151) * (-767.598) [-683.536] (-766.427) (-776.553) -- 0:18:14
565000 -- [-687.070] (-782.623) (-747.667) (-761.875) * (-766.237) [-684.766] (-774.918) (-770.061) -- 0:18:12
Average standard deviation of split frequencies: 0.021774
566000 -- [-688.717] (-775.016) (-753.472) (-755.098) * (-765.308) [-685.228] (-767.536) (-783.782) -- 0:18:10
567000 -- [-687.268] (-764.886) (-755.769) (-751.991) * (-769.159) [-677.256] (-759.520) (-791.093) -- 0:18:08
568000 -- [-691.749] (-772.560) (-752.745) (-747.087) * (-768.102) [-672.200] (-765.688) (-790.936) -- 0:18:06
569000 -- [-680.305] (-777.044) (-756.897) (-750.346) * (-769.852) [-680.358] (-768.664) (-801.571) -- 0:18:03
570000 -- [-689.325] (-766.451) (-762.064) (-746.608) * (-758.534) [-682.544] (-775.312) (-783.404) -- 0:18:01
Average standard deviation of split frequencies: 0.021143
571000 -- [-684.755] (-767.977) (-765.651) (-741.666) * (-754.324) [-677.329] (-772.436) (-785.357) -- 0:17:59
572000 -- [-685.974] (-772.838) (-760.863) (-727.705) * (-753.574) [-677.769] (-781.732) (-803.788) -- 0:17:57
573000 -- [-678.887] (-770.227) (-750.539) (-743.980) * (-749.132) [-686.827] (-797.709) (-788.956) -- 0:17:54
574000 -- [-681.394] (-779.813) (-744.478) (-750.514) * (-756.549) [-685.592] (-793.556) (-778.783) -- 0:17:53
575000 -- [-670.533] (-780.308) (-748.422) (-752.985) * (-748.901) [-666.306] (-785.132) (-775.414) -- 0:17:51
Average standard deviation of split frequencies: 0.021337
576000 -- [-675.802] (-782.694) (-753.264) (-746.425) * (-749.047) [-669.131] (-799.665) (-796.456) -- 0:17:48
577000 -- [-677.309] (-777.536) (-762.736) (-743.124) * (-763.124) [-670.690] (-805.152) (-792.101) -- 0:17:46
578000 -- [-681.653] (-781.097) (-756.009) (-728.552) * (-770.486) [-680.675] (-773.411) (-791.397) -- 0:17:44
579000 -- [-681.259] (-765.843) (-764.122) (-734.493) * (-763.456) [-686.433] (-775.411) (-795.770) -- 0:17:42
580000 -- [-681.199] (-755.898) (-764.170) (-739.470) * (-747.272) [-679.228] (-770.202) (-789.927) -- 0:17:40
Average standard deviation of split frequencies: 0.021444
581000 -- [-682.750] (-757.524) (-770.833) (-744.691) * (-751.095) [-679.857] (-776.031) (-786.378) -- 0:17:37
582000 -- [-685.619] (-758.698) (-772.457) (-753.908) * (-758.620) [-672.207] (-771.048) (-761.553) -- 0:17:35
583000 -- [-692.670] (-754.642) (-768.345) (-750.235) * (-763.984) [-682.115] (-775.124) (-768.446) -- 0:17:33
584000 -- [-688.833] (-761.482) (-766.056) (-736.922) * (-751.893) [-677.274] (-775.208) (-777.752) -- 0:17:31
585000 -- [-691.007] (-765.427) (-771.305) (-738.164) * (-746.058) [-671.754] (-773.091) (-782.209) -- 0:17:29
Average standard deviation of split frequencies: 0.021014
586000 -- [-696.578] (-765.485) (-770.929) (-736.845) * (-741.726) [-674.977] (-767.438) (-786.622) -- 0:17:27
587000 -- [-678.518] (-776.138) (-776.584) (-752.037) * (-753.911) [-675.037] (-766.099) (-777.997) -- 0:17:24
588000 -- [-674.173] (-774.762) (-774.863) (-760.734) * (-757.200) [-665.482] (-773.864) (-773.227) -- 0:17:22
589000 -- [-668.991] (-767.273) (-757.654) (-750.121) * (-743.696) [-674.823] (-763.972) (-773.404) -- 0:17:20
590000 -- [-679.167] (-761.059) (-756.123) (-753.965) * (-735.134) [-679.885] (-779.915) (-778.370) -- 0:17:18
Average standard deviation of split frequencies: 0.021035
591000 -- [-687.720] (-751.449) (-768.811) (-756.909) * (-744.090) [-679.296] (-770.272) (-778.979) -- 0:17:15
592000 -- [-677.809] (-765.536) (-772.671) (-741.458) * (-742.235) [-679.356] (-781.044) (-768.016) -- 0:17:13
593000 -- [-677.663] (-772.915) (-790.958) (-745.886) * (-740.095) [-676.194] (-786.891) (-770.729) -- 0:17:11
594000 -- [-679.548] (-763.141) (-781.016) (-751.466) * (-740.477) [-664.048] (-776.974) (-768.291) -- 0:17:09
595000 -- [-672.406] (-766.415) (-795.286) (-756.061) * (-738.774) [-681.905] (-777.526) (-777.211) -- 0:17:07
Average standard deviation of split frequencies: 0.021201
596000 -- [-677.885] (-778.048) (-786.666) (-747.525) * (-736.125) [-682.921] (-778.979) (-763.554) -- 0:17:04
597000 -- [-694.244] (-775.304) (-763.589) (-741.876) * (-746.932) [-671.704] (-773.248) (-771.867) -- 0:17:02
598000 -- [-694.758] (-780.072) (-762.678) (-738.362) * (-756.524) [-672.855] (-767.291) (-776.861) -- 0:17:00
599000 -- [-693.073] (-777.156) (-759.078) (-754.570) * (-749.244) [-665.364] (-772.047) (-777.723) -- 0:16:58
600000 -- [-697.652] (-766.078) (-763.331) (-747.019) * (-760.127) [-664.606] (-772.595) (-775.961) -- 0:16:55
Average standard deviation of split frequencies: 0.021458
601000 -- [-705.683] (-757.169) (-768.794) (-741.622) * (-746.154) [-672.754] (-772.790) (-764.662) -- 0:16:53
602000 -- [-694.905] (-771.774) (-770.321) (-743.596) * (-746.864) [-679.018] (-776.963) (-757.513) -- 0:16:50
603000 -- [-695.984] (-772.993) (-762.533) (-748.489) * (-758.865) [-679.181] (-774.925) (-758.812) -- 0:16:48
604000 -- [-696.017] (-767.525) (-777.608) (-746.539) * (-752.017) [-669.176] (-762.245) (-757.399) -- 0:16:46
605000 -- [-684.466] (-764.831) (-768.922) (-745.583) * (-750.174) [-669.528] (-783.708) (-760.741) -- 0:16:44
Average standard deviation of split frequencies: 0.021540
606000 -- [-690.973] (-770.355) (-774.789) (-729.479) * (-736.776) [-673.835] (-795.729) (-752.895) -- 0:16:41
607000 -- [-686.826] (-767.034) (-766.385) (-747.620) * (-739.706) [-655.864] (-790.087) (-760.416) -- 0:16:39
608000 -- [-688.747] (-760.797) (-755.554) (-740.995) * (-733.104) [-663.745] (-780.373) (-764.856) -- 0:16:36
609000 -- [-678.838] (-768.571) (-766.755) (-740.517) * (-736.604) [-666.027] (-776.611) (-764.006) -- 0:16:34
610000 -- [-680.041] (-771.375) (-753.657) (-731.799) * (-741.262) [-666.108] (-797.298) (-766.332) -- 0:16:32
Average standard deviation of split frequencies: 0.021709
611000 -- [-676.727] (-768.789) (-769.764) (-741.761) * (-738.864) [-667.787] (-800.456) (-769.082) -- 0:16:30
612000 -- [-680.914] (-773.280) (-765.953) (-747.954) * (-751.075) [-669.113] (-797.300) (-761.258) -- 0:16:27
613000 -- [-684.887] (-777.626) (-773.455) (-734.457) * (-754.701) [-668.484] (-799.219) (-767.376) -- 0:16:25
614000 -- [-697.936] (-772.580) (-774.518) (-722.816) * (-744.782) [-681.345] (-790.541) (-761.445) -- 0:16:22
615000 -- [-695.316] (-776.865) (-775.767) (-722.209) * (-737.413) [-678.661] (-789.440) (-775.848) -- 0:16:20
Average standard deviation of split frequencies: 0.021558
616000 -- [-692.472] (-779.730) (-772.413) (-728.514) * (-744.179) [-668.734] (-784.643) (-761.622) -- 0:16:17
617000 -- [-683.297] (-776.820) (-779.278) (-722.097) * (-751.079) [-678.940] (-777.157) (-776.560) -- 0:16:14
618000 -- [-662.619] (-767.287) (-754.890) (-724.478) * (-757.075) [-674.684] (-774.590) (-763.959) -- 0:16:11
619000 -- [-663.229] (-802.537) (-762.626) (-742.604) * (-742.398) [-664.387] (-771.138) (-767.294) -- 0:16:08
620000 -- [-668.203] (-785.353) (-766.773) (-744.376) * (-746.799) [-664.359] (-783.542) (-771.160) -- 0:16:05
Average standard deviation of split frequencies: 0.021664
621000 -- [-667.721] (-784.386) (-755.768) (-731.058) * (-748.233) [-661.216] (-785.227) (-760.906) -- 0:16:03
622000 -- [-661.891] (-802.519) (-746.778) (-731.620) * (-746.791) [-668.085] (-788.242) (-770.573) -- 0:16:00
623000 -- [-661.798] (-793.835) (-760.445) (-729.794) * (-750.272) [-671.066] (-798.571) (-776.158) -- 0:15:57
624000 -- [-677.213] (-796.793) (-753.882) (-723.514) * (-754.462) [-666.204] (-789.150) (-792.049) -- 0:15:55
625000 -- [-677.859] (-800.374) (-754.740) (-723.449) * (-745.025) [-669.942] (-785.081) (-805.213) -- 0:15:52
Average standard deviation of split frequencies: 0.021803
626000 -- [-671.374] (-807.104) (-759.475) (-723.422) * (-743.194) [-670.676] (-791.953) (-804.774) -- 0:15:49
627000 -- [-673.056] (-800.067) (-752.829) (-728.749) * (-739.442) [-665.016] (-774.668) (-796.015) -- 0:15:46
628000 -- [-672.989] (-809.725) (-752.208) (-721.243) * (-737.271) [-666.270] (-788.062) (-776.349) -- 0:15:43
629000 -- [-668.198] (-799.743) (-743.967) (-730.627) * (-739.891) [-670.086] (-775.909) (-784.793) -- 0:15:41
630000 -- [-669.782] (-792.989) (-778.778) (-725.018) * (-733.756) [-672.823] (-777.235) (-782.406) -- 0:15:38
Average standard deviation of split frequencies: 0.021534
631000 -- [-669.795] (-789.631) (-768.274) (-736.750) * (-751.199) [-674.074] (-769.867) (-773.711) -- 0:15:35
632000 -- [-668.215] (-792.014) (-765.903) (-745.877) * (-744.901) [-664.267] (-776.689) (-773.244) -- 0:15:32
633000 -- [-667.313] (-795.659) (-764.691) (-727.636) * (-740.193) [-665.520] (-780.671) (-772.847) -- 0:15:29
634000 -- [-662.202] (-787.509) (-775.898) (-736.377) * (-738.886) [-670.158] (-782.428) (-791.173) -- 0:15:27
635000 -- [-667.844] (-794.835) (-776.777) (-730.319) * (-734.038) [-662.831] (-775.482) (-789.555) -- 0:15:24
Average standard deviation of split frequencies: 0.020862
636000 -- [-664.787] (-784.930) (-779.419) (-739.259) * (-732.293) [-673.239] (-773.794) (-798.863) -- 0:15:21
637000 -- [-664.096] (-784.377) (-774.435) (-733.943) * (-732.780) [-668.536] (-779.452) (-796.556) -- 0:15:19
638000 -- [-667.214] (-788.316) (-759.432) (-730.218) * (-747.608) [-662.972] (-776.388) (-806.007) -- 0:15:16
639000 -- [-677.080] (-768.941) (-751.723) (-739.613) * (-736.843) [-663.349] (-766.961) (-790.565) -- 0:15:13
640000 -- [-665.944] (-783.568) (-771.128) (-745.588) * (-735.883) [-666.363] (-771.551) (-788.156) -- 0:15:10
Average standard deviation of split frequencies: 0.020692
641000 -- [-678.535] (-772.740) (-774.148) (-737.841) * (-744.466) [-677.007] (-755.885) (-790.055) -- 0:15:07
642000 -- [-673.690] (-789.817) (-769.997) (-727.393) * (-745.070) [-679.889] (-766.644) (-766.837) -- 0:15:05
643000 -- [-670.543] (-787.079) (-762.318) (-725.685) * (-760.891) [-679.673] (-777.405) (-768.524) -- 0:15:02
644000 -- [-673.111] (-779.446) (-773.460) (-736.920) * (-752.146) [-677.061] (-772.636) (-768.165) -- 0:14:59
645000 -- [-674.492] (-773.192) (-763.747) (-742.192) * (-757.197) [-677.502] (-789.427) (-768.380) -- 0:14:57
Average standard deviation of split frequencies: 0.020537
646000 -- [-666.528] (-771.404) (-770.188) (-745.594) * (-747.297) [-678.761] (-782.951) (-769.671) -- 0:14:54
647000 -- [-672.984] (-764.867) (-768.406) (-744.580) * (-751.997) [-668.030] (-792.028) (-769.253) -- 0:14:51
648000 -- [-667.846] (-768.528) (-768.808) (-731.509) * (-746.108) [-659.782] (-785.806) (-777.044) -- 0:14:48
649000 -- [-673.131] (-780.352) (-764.772) (-736.931) * (-755.084) [-666.173] (-792.609) (-777.079) -- 0:14:46
650000 -- [-680.415] (-778.867) (-769.146) (-742.577) * (-750.893) [-669.441] (-783.958) (-787.739) -- 0:14:43
Average standard deviation of split frequencies: 0.020182
651000 -- [-672.670] (-791.176) (-771.145) (-738.491) * (-740.293) [-667.421] (-787.157) (-771.067) -- 0:14:40
652000 -- [-677.295] (-792.624) (-758.581) (-735.879) * (-738.644) [-666.169] (-778.734) (-765.584) -- 0:14:38
653000 -- [-678.281] (-776.042) (-763.073) (-753.736) * (-743.681) [-672.043] (-783.370) (-762.131) -- 0:14:35
654000 -- [-666.518] (-770.711) (-746.449) (-744.374) * (-745.266) [-665.958] (-775.240) (-775.785) -- 0:14:32
655000 -- [-666.422] (-751.085) (-739.977) (-746.527) * (-744.273) [-667.152] (-778.956) (-761.074) -- 0:14:30
Average standard deviation of split frequencies: 0.019718
656000 -- [-672.887] (-769.842) (-746.247) (-744.854) * (-748.867) [-672.266] (-774.043) (-770.502) -- 0:14:28
657000 -- [-679.705] (-780.229) (-748.126) (-741.881) * (-753.069) [-669.560] (-771.031) (-778.600) -- 0:14:26
658000 -- [-682.110] (-774.501) (-730.007) (-749.005) * (-747.918) [-666.106] (-774.899) (-766.076) -- 0:14:23
659000 -- [-668.856] (-760.247) (-734.489) (-751.786) * (-740.243) [-655.989] (-782.820) (-767.101) -- 0:14:21
660000 -- [-672.906] (-770.339) (-726.701) (-748.263) * (-739.200) [-667.232] (-803.469) (-759.118) -- 0:14:19
Average standard deviation of split frequencies: 0.019526
661000 -- [-666.205] (-755.575) (-727.122) (-756.153) * (-748.311) [-672.588] (-789.933) (-762.295) -- 0:14:16
662000 -- [-678.901] (-755.467) (-733.739) (-749.676) * (-746.087) [-677.140] (-772.662) (-767.005) -- 0:14:14
663000 -- [-679.007] (-773.021) (-738.632) (-760.314) * (-752.178) [-668.455] (-763.726) (-766.867) -- 0:14:12
664000 -- [-679.799] (-760.898) (-738.370) (-771.645) * (-752.990) [-668.289] (-767.325) (-765.105) -- 0:14:10
665000 -- [-670.559] (-769.784) (-748.589) (-760.589) * (-746.026) [-656.940] (-765.750) (-766.789) -- 0:14:07
Average standard deviation of split frequencies: 0.019387
666000 -- [-676.943] (-793.841) (-741.181) (-759.906) * (-759.868) [-663.357] (-783.412) (-764.158) -- 0:14:05
667000 -- [-668.975] (-777.583) (-735.886) (-771.767) * (-758.006) [-663.838] (-776.917) (-769.095) -- 0:14:02
668000 -- [-662.683] (-764.240) (-738.183) (-764.304) * (-753.391) [-667.006] (-795.772) (-782.243) -- 0:13:59
669000 -- [-669.178] (-757.201) (-739.826) (-765.220) * (-748.510) [-665.882] (-787.414) (-787.607) -- 0:13:56
670000 -- [-663.793] (-750.751) (-753.465) (-772.561) * (-752.285) [-665.474] (-782.937) (-778.476) -- 0:13:53
Average standard deviation of split frequencies: 0.019149
671000 -- [-669.770] (-762.226) (-753.308) (-774.914) * (-750.564) [-666.528] (-790.538) (-784.335) -- 0:13:51
672000 -- [-668.811] (-754.033) (-749.165) (-750.740) * (-748.730) [-661.352] (-797.195) (-786.086) -- 0:13:48
673000 -- [-672.820] (-748.402) (-743.648) (-758.123) * (-737.518) [-668.143] (-803.548) (-762.604) -- 0:13:45
674000 -- [-660.377] (-757.239) (-745.222) (-744.866) * (-749.831) [-658.781] (-781.073) (-772.800) -- 0:13:42
675000 -- [-660.324] (-763.255) (-739.619) (-762.567) * (-767.074) [-664.396] (-784.154) (-771.840) -- 0:13:39
Average standard deviation of split frequencies: 0.019044
676000 -- [-666.872] (-755.809) (-738.020) (-764.930) * (-765.293) [-665.003] (-778.347) (-769.680) -- 0:13:37
677000 -- [-673.001] (-765.906) (-748.674) (-758.988) * (-769.416) [-673.288] (-775.082) (-769.083) -- 0:13:34
678000 -- [-661.743] (-769.801) (-758.442) (-756.181) * (-768.006) [-667.885] (-773.886) (-775.985) -- 0:13:32
679000 -- [-666.576] (-767.330) (-747.668) (-769.614) * (-759.650) [-672.892] (-772.491) (-769.243) -- 0:13:29
680000 -- [-678.923] (-763.250) (-747.899) (-767.403) * (-761.319) [-667.068] (-775.026) (-761.833) -- 0:13:26
Average standard deviation of split frequencies: 0.018885
681000 -- [-682.406] (-755.393) (-756.128) (-767.356) * (-758.253) [-664.437] (-794.372) (-759.543) -- 0:13:24
682000 -- [-681.246] (-762.076) (-763.832) (-762.671) * (-749.550) [-674.038] (-800.098) (-761.420) -- 0:13:21
683000 -- [-681.598] (-772.265) (-758.597) (-773.724) * (-750.584) [-683.586] (-791.173) (-763.255) -- 0:13:18
684000 -- [-678.285] (-793.780) (-756.846) (-759.961) * (-752.591) [-676.583] (-788.941) (-761.859) -- 0:13:16
685000 -- [-675.484] (-793.441) (-744.740) (-760.891) * (-753.519) [-663.270] (-788.404) (-762.954) -- 0:13:13
Average standard deviation of split frequencies: 0.019017
686000 -- [-672.664] (-774.124) (-762.877) (-761.246) * (-756.390) [-665.091] (-777.562) (-761.322) -- 0:13:10
687000 -- [-666.072] (-770.068) (-748.581) (-773.204) * (-758.297) [-665.722] (-776.260) (-767.110) -- 0:13:08
688000 -- [-679.026] (-760.576) (-740.394) (-766.932) * (-746.849) [-667.855] (-805.343) (-776.706) -- 0:13:05
689000 -- [-682.170] (-762.392) (-734.380) (-780.293) * (-764.295) [-677.481] (-774.597) (-775.758) -- 0:13:03
690000 -- [-677.953] (-764.157) (-744.409) (-773.871) * (-756.182) [-677.587] (-778.028) (-772.688) -- 0:13:00
Average standard deviation of split frequencies: 0.019048
691000 -- [-684.463] (-765.819) (-755.438) (-752.735) * (-749.373) [-679.561] (-788.576) (-774.012) -- 0:12:57
692000 -- [-682.656] (-773.167) (-760.935) (-763.562) * (-755.719) [-680.398] (-813.140) (-773.518) -- 0:12:54
693000 -- [-688.339] (-774.848) (-761.267) (-768.002) * (-761.382) [-674.928] (-798.777) (-790.091) -- 0:12:52
694000 -- [-681.418] (-768.966) (-757.254) (-754.874) * (-760.017) [-670.664] (-799.218) (-767.629) -- 0:12:49
695000 -- [-680.066] (-763.194) (-764.334) (-745.294) * (-761.442) [-686.309] (-789.972) (-757.557) -- 0:12:46
Average standard deviation of split frequencies: 0.018760
696000 -- [-691.701] (-769.578) (-748.059) (-752.125) * (-762.194) [-678.609] (-778.293) (-758.722) -- 0:12:43
697000 -- [-683.019] (-778.517) (-748.355) (-743.362) * (-770.932) [-679.389] (-766.021) (-778.902) -- 0:12:41
698000 -- [-684.319] (-783.020) (-750.318) (-746.215) * (-769.466) [-666.651] (-784.168) (-769.257) -- 0:12:38
699000 -- [-688.287] (-775.441) (-747.939) (-738.153) * (-756.337) [-674.460] (-789.787) (-760.319) -- 0:12:35
700000 -- [-668.455] (-795.070) (-748.019) (-735.465) * (-762.875) [-664.927] (-797.975) (-748.336) -- 0:12:33
Average standard deviation of split frequencies: 0.018454
701000 -- [-676.539] (-788.509) (-745.450) (-734.845) * (-760.988) [-666.605] (-789.361) (-754.384) -- 0:12:30
702000 -- [-672.532] (-784.831) (-771.249) (-734.207) * (-763.320) [-666.746] (-784.493) (-764.954) -- 0:12:27
703000 -- [-676.062] (-772.016) (-752.388) (-730.351) * (-757.654) [-666.758] (-791.074) (-772.203) -- 0:12:25
704000 -- [-679.646] (-771.180) (-754.913) (-737.219) * (-749.084) [-672.495] (-789.130) (-765.853) -- 0:12:22
705000 -- [-674.113] (-771.632) (-778.085) (-727.522) * (-752.478) [-675.532] (-767.557) (-752.040) -- 0:12:19
Average standard deviation of split frequencies: 0.018569
706000 -- [-679.588] (-768.744) (-763.532) (-744.999) * (-753.043) [-682.216] (-767.362) (-754.726) -- 0:12:17
707000 -- [-676.512] (-781.487) (-772.975) (-752.186) * (-765.015) [-679.775] (-761.761) (-755.324) -- 0:12:14
708000 -- [-677.452] (-764.646) (-754.990) (-758.667) * (-764.453) [-676.342] (-765.814) (-752.430) -- 0:12:11
709000 -- [-673.051] (-779.562) (-757.620) (-749.858) * (-751.803) [-683.679] (-769.232) (-758.872) -- 0:12:08
710000 -- [-672.861] (-768.417) (-753.817) (-746.962) * (-747.030) [-675.740] (-777.380) (-774.753) -- 0:12:06
Average standard deviation of split frequencies: 0.018330
711000 -- [-669.262] (-771.331) (-743.850) (-752.229) * (-766.823) [-684.846] (-775.959) (-766.480) -- 0:12:03
712000 -- [-670.074] (-792.916) (-745.879) (-749.634) * (-778.293) [-696.573] (-777.672) (-765.385) -- 0:12:01
713000 -- [-680.711] (-791.099) (-746.110) (-748.010) * (-754.598) [-682.294] (-778.006) (-752.582) -- 0:11:58
714000 -- [-674.131] (-782.412) (-740.530) (-756.596) * (-765.488) [-671.475] (-788.226) (-753.432) -- 0:11:56
715000 -- [-686.286] (-783.143) (-735.563) (-748.780) * (-776.176) [-672.816] (-799.246) (-767.767) -- 0:11:53
Average standard deviation of split frequencies: 0.017579
716000 -- [-690.754] (-787.514) (-747.891) (-760.352) * (-776.256) [-687.246] (-795.848) (-767.090) -- 0:11:51
717000 -- [-684.311] (-795.303) (-755.552) (-757.846) * (-762.306) [-680.922] (-782.893) (-772.961) -- 0:11:49
718000 -- [-690.498] (-798.783) (-735.615) (-753.179) * (-759.913) [-671.325] (-776.033) (-773.527) -- 0:11:46
719000 -- [-694.648] (-789.007) (-740.012) (-763.403) * (-760.945) [-673.584] (-767.499) (-774.215) -- 0:11:44
720000 -- [-701.454] (-779.787) (-738.804) (-763.600) * (-771.013) [-678.659] (-759.969) (-763.904) -- 0:11:41
Average standard deviation of split frequencies: 0.017530
721000 -- [-708.091] (-773.542) (-745.322) (-768.870) * (-761.006) [-674.404] (-773.802) (-761.592) -- 0:11:38
722000 -- [-687.785] (-762.182) (-729.977) (-747.124) * (-773.938) [-678.918] (-774.342) (-755.772) -- 0:11:36
723000 -- [-688.325] (-763.431) (-747.694) (-754.443) * (-760.723) [-671.234] (-792.648) (-745.521) -- 0:11:33
724000 -- [-678.128] (-768.989) (-741.161) (-772.289) * (-769.202) [-674.987] (-793.993) (-745.814) -- 0:11:31
725000 -- [-680.263] (-775.713) (-744.136) (-733.989) * (-772.536) [-676.703] (-792.339) (-750.502) -- 0:11:28
Average standard deviation of split frequencies: 0.017434
726000 -- [-680.513] (-785.847) (-737.585) (-736.827) * (-771.627) [-680.655] (-775.931) (-746.559) -- 0:11:25
727000 -- [-679.648] (-784.779) (-732.892) (-734.585) * (-775.563) [-679.975] (-786.291) (-746.533) -- 0:11:23
728000 -- [-684.129] (-791.869) (-731.532) (-732.379) * (-760.639) [-681.903] (-782.167) (-755.290) -- 0:11:20
729000 -- [-673.981] (-785.672) (-737.804) (-735.508) * (-762.510) [-685.943] (-787.747) (-749.878) -- 0:11:17
730000 -- [-673.907] (-795.103) (-731.878) (-730.888) * (-752.180) [-678.208] (-789.653) (-745.785) -- 0:11:15
Average standard deviation of split frequencies: 0.017032
731000 -- [-677.012] (-811.169) (-733.466) (-732.675) * (-761.447) [-682.478] (-810.892) (-745.640) -- 0:11:12
732000 -- [-680.661] (-798.199) (-747.265) (-749.342) * (-752.680) [-686.032] (-797.746) (-766.460) -- 0:11:09
733000 -- [-680.716] (-795.738) (-754.609) (-757.382) * (-749.616) [-682.394] (-789.236) (-761.352) -- 0:11:07
734000 -- [-675.907] (-798.743) (-754.165) (-745.570) * (-750.319) [-690.574] (-784.801) (-757.609) -- 0:11:04
735000 -- [-671.757] (-784.614) (-756.399) (-741.062) * (-758.286) [-688.066] (-780.858) (-754.076) -- 0:11:01
Average standard deviation of split frequencies: 0.016669
736000 -- [-671.370] (-765.006) (-759.628) (-725.629) * (-754.703) [-683.535] (-780.378) (-759.092) -- 0:10:59
737000 -- [-673.466] (-765.555) (-757.299) (-732.189) * (-763.399) [-683.950] (-775.611) (-760.983) -- 0:10:56
738000 -- [-665.308] (-763.401) (-755.168) (-727.465) * (-751.296) [-673.860] (-775.093) (-776.397) -- 0:10:53
739000 -- [-669.749] (-766.364) (-767.563) (-746.564) * (-751.738) [-677.338] (-773.954) (-766.981) -- 0:10:51
740000 -- [-669.840] (-768.874) (-750.511) (-733.334) * (-767.768) [-678.099] (-776.095) (-769.136) -- 0:10:48
Average standard deviation of split frequencies: 0.016134
741000 -- [-666.542] (-770.645) (-754.417) (-725.856) * (-761.265) [-666.407] (-775.625) (-772.379) -- 0:10:45
742000 -- [-665.601] (-784.844) (-743.433) (-729.805) * (-764.757) [-661.924] (-776.850) (-764.048) -- 0:10:43
743000 -- [-674.083] (-787.058) (-739.631) (-731.684) * (-775.828) [-675.666] (-773.391) (-752.348) -- 0:10:40
744000 -- [-689.687] (-778.531) (-742.322) (-746.343) * (-782.473) [-673.264] (-755.901) (-762.157) -- 0:10:37
745000 -- [-681.295] (-794.480) (-757.036) (-742.514) * (-789.449) [-671.441] (-762.667) (-768.907) -- 0:10:35
Average standard deviation of split frequencies: 0.015983
746000 -- [-670.355] (-786.391) (-765.218) (-736.103) * (-779.600) [-674.639] (-769.940) (-782.752) -- 0:10:32
747000 -- [-671.509] (-792.070) (-743.188) (-747.201) * (-774.615) [-671.260] (-765.767) (-781.406) -- 0:10:29
748000 -- [-672.778] (-785.764) (-748.064) (-735.997) * (-765.792) [-667.605] (-765.022) (-787.407) -- 0:10:27
749000 -- [-679.972] (-791.892) (-745.936) (-747.624) * (-780.312) [-682.314] (-764.204) (-776.861) -- 0:10:24
750000 -- [-684.093] (-774.853) (-760.552) (-745.988) * (-760.863) [-679.565] (-762.204) (-765.018) -- 0:10:23
Average standard deviation of split frequencies: 0.015433
751000 -- [-673.084] (-780.522) (-779.580) (-752.463) * (-765.909) [-686.983] (-765.330) (-767.664) -- 0:10:20
752000 -- [-682.230] (-767.507) (-756.539) (-749.399) * (-774.383) [-686.326] (-764.787) (-769.257) -- 0:10:17
753000 -- [-685.699] (-753.033) (-765.639) (-754.686) * (-791.672) [-680.753] (-762.130) (-769.227) -- 0:10:15
754000 -- [-676.832] (-747.904) (-764.452) (-743.809) * (-786.736) [-683.017] (-757.456) (-783.153) -- 0:10:12
755000 -- [-683.022] (-736.565) (-762.125) (-739.873) * (-792.099) [-688.828] (-770.977) (-781.674) -- 0:10:09
Average standard deviation of split frequencies: 0.015498
756000 -- [-675.789] (-747.826) (-772.151) (-744.992) * (-786.204) [-680.358] (-778.255) (-776.325) -- 0:10:07
757000 -- [-691.669] (-750.405) (-766.741) (-749.687) * (-770.930) [-675.169] (-773.274) (-787.276) -- 0:10:04
758000 -- [-690.604] (-741.465) (-755.335) (-753.756) * (-749.298) [-679.944] (-780.866) (-786.505) -- 0:10:01
759000 -- [-697.966] (-750.552) (-765.787) (-749.857) * (-741.259) [-686.214] (-787.706) (-776.370) -- 0:09:59
760000 -- [-692.427] (-746.546) (-761.622) (-748.739) * (-740.678) [-681.714] (-780.724) (-790.722) -- 0:09:56
Average standard deviation of split frequencies: 0.014641
761000 -- [-689.629] (-757.568) (-751.207) (-762.107) * (-742.379) [-677.542] (-801.183) (-790.701) -- 0:09:54
762000 -- [-681.649] (-768.750) (-758.058) (-753.985) * (-748.545) [-675.866] (-795.028) (-790.049) -- 0:09:51
763000 -- [-682.722] (-767.760) (-765.428) (-756.236) * (-760.295) [-673.875] (-779.523) (-770.822) -- 0:09:48
764000 -- [-676.476] (-752.702) (-764.308) (-763.122) * (-765.414) [-675.708] (-773.362) (-786.807) -- 0:09:46
765000 -- [-677.568] (-765.008) (-761.550) (-759.034) * (-749.269) [-673.452] (-784.062) (-793.223) -- 0:09:43
Average standard deviation of split frequencies: 0.014816
766000 -- [-678.856] (-768.101) (-776.298) (-753.700) * (-749.112) [-680.867] (-770.917) (-806.617) -- 0:09:41
767000 -- [-683.501] (-768.637) (-778.502) (-763.397) * (-748.360) [-673.900] (-781.669) (-796.389) -- 0:09:38
768000 -- [-672.666] (-766.485) (-764.440) (-751.920) * (-754.077) [-676.825] (-787.264) (-790.183) -- 0:09:36
769000 -- [-686.559] (-773.919) (-757.492) (-750.209) * (-755.365) [-665.643] (-765.719) (-783.247) -- 0:09:33
770000 -- [-670.755] (-772.449) (-770.433) (-758.574) * (-743.171) [-668.646] (-772.421) (-801.825) -- 0:09:30
Average standard deviation of split frequencies: 0.015109
771000 -- [-675.139] (-759.819) (-778.531) (-759.158) * (-739.048) [-667.060] (-778.070) (-793.995) -- 0:09:28
772000 -- [-684.237] (-766.863) (-762.182) (-764.990) * (-741.417) [-671.828] (-792.893) (-785.130) -- 0:09:25
773000 -- [-682.347] (-768.713) (-762.013) (-753.744) * (-747.943) [-675.583] (-782.422) (-761.068) -- 0:09:22
774000 -- [-674.308] (-773.126) (-757.286) (-746.689) * (-750.796) [-677.034] (-793.592) (-774.107) -- 0:09:20
775000 -- [-675.448] (-761.847) (-761.198) (-750.821) * (-743.321) [-673.004] (-798.130) (-764.688) -- 0:09:17
Average standard deviation of split frequencies: 0.015187
776000 -- [-681.097] (-757.191) (-772.164) (-745.116) * (-753.495) [-677.717] (-786.754) (-749.612) -- 0:09:15
777000 -- [-695.416] (-758.943) (-773.391) (-753.545) * (-752.612) [-680.027] (-798.077) (-752.577) -- 0:09:12
778000 -- [-692.002] (-765.668) (-778.428) (-751.413) * (-750.680) [-675.759] (-801.971) (-758.305) -- 0:09:10
779000 -- [-691.513] (-766.105) (-792.511) (-744.536) * (-750.243) [-671.198] (-790.190) (-751.653) -- 0:09:07
780000 -- [-701.475] (-764.096) (-777.237) (-749.498) * (-740.198) [-665.443] (-806.708) (-754.525) -- 0:09:04
Average standard deviation of split frequencies: 0.014915
781000 -- [-696.419] (-759.872) (-760.691) (-748.434) * (-742.477) [-671.425] (-808.327) (-753.043) -- 0:09:02
782000 -- [-700.302] (-772.637) (-759.938) (-749.901) * (-750.304) [-671.000] (-798.902) (-761.474) -- 0:08:59
783000 -- [-688.735] (-784.687) (-746.118) (-740.406) * (-745.282) [-672.028] (-800.360) (-750.393) -- 0:08:57
784000 -- [-681.511] (-773.880) (-753.174) (-731.985) * (-746.861) [-667.117] (-815.696) (-749.344) -- 0:08:54
785000 -- [-671.502] (-788.514) (-750.873) (-744.528) * (-757.544) [-675.522] (-808.456) (-748.932) -- 0:08:51
Average standard deviation of split frequencies: 0.014979
786000 -- [-673.899] (-776.114) (-744.792) (-749.023) * (-748.372) [-673.353] (-807.877) (-760.085) -- 0:08:49
787000 -- [-685.573] (-784.812) (-746.936) (-758.212) * (-738.164) [-669.009] (-800.614) (-759.546) -- 0:08:46
788000 -- [-682.892] (-763.820) (-750.262) (-741.482) * (-747.306) [-668.929] (-799.682) (-752.263) -- 0:08:44
789000 -- [-690.610] (-757.585) (-746.482) (-755.604) * (-737.691) [-670.620] (-797.302) (-760.261) -- 0:08:42
790000 -- [-670.799] (-758.963) (-754.086) (-752.630) * (-740.350) [-673.744] (-793.894) (-749.584) -- 0:08:39
Average standard deviation of split frequencies: 0.015233
791000 -- [-672.414] (-770.374) (-741.809) (-750.793) * (-735.987) [-670.155] (-779.429) (-759.917) -- 0:08:37
792000 -- [-672.577] (-776.004) (-743.039) (-758.583) * (-734.863) [-671.575] (-784.118) (-756.522) -- 0:08:35
793000 -- [-678.498] (-776.695) (-741.818) (-767.869) * (-739.234) [-661.452] (-790.338) (-776.423) -- 0:08:32
794000 -- [-673.523] (-770.175) (-744.471) (-786.510) * (-744.899) [-669.449] (-780.176) (-770.835) -- 0:08:30
795000 -- [-685.259] (-768.156) (-741.456) (-768.973) * (-749.001) [-671.462] (-787.662) (-770.327) -- 0:08:27
Average standard deviation of split frequencies: 0.015353
796000 -- [-686.801] (-764.147) (-724.932) (-753.277) * (-744.588) [-672.292] (-794.974) (-767.080) -- 0:08:25
797000 -- [-675.263] (-764.690) (-729.569) (-758.194) * (-747.119) [-680.507] (-788.689) (-764.548) -- 0:08:22
798000 -- [-681.676] (-769.349) (-721.309) (-757.587) * (-747.912) [-682.990] (-786.214) (-763.201) -- 0:08:20
799000 -- [-665.727] (-780.358) (-730.042) (-746.334) * (-740.437) [-689.600] (-784.087) (-755.382) -- 0:08:17
800000 -- [-672.159] (-784.658) (-731.888) (-736.188) * (-757.665) [-687.567] (-790.650) (-754.908) -- 0:08:15
Average standard deviation of split frequencies: 0.015543
801000 -- [-682.874] (-763.238) (-736.234) (-738.660) * (-754.971) [-679.744] (-790.949) (-752.242) -- 0:08:12
802000 -- [-680.440] (-773.253) (-753.718) (-738.723) * (-746.308) [-672.457] (-810.397) (-770.519) -- 0:08:09
803000 -- [-679.661] (-783.691) (-733.769) (-731.959) * (-736.717) [-682.943] (-792.010) (-787.489) -- 0:08:07
804000 -- [-684.867] (-781.951) (-739.001) (-725.936) * (-739.991) [-679.692] (-788.084) (-776.990) -- 0:08:04
805000 -- [-681.273] (-781.089) (-734.600) (-733.822) * (-742.850) [-683.131] (-780.098) (-778.841) -- 0:08:02
Average standard deviation of split frequencies: 0.015558
806000 -- [-675.061] (-781.815) (-751.611) (-739.982) * (-746.655) [-686.899] (-807.919) (-775.940) -- 0:07:59
807000 -- [-676.313] (-785.693) (-758.030) (-728.587) * (-741.682) [-676.252] (-790.339) (-780.699) -- 0:07:56
808000 -- [-676.730] (-780.891) (-764.217) (-732.491) * (-749.481) [-682.961] (-783.543) (-775.810) -- 0:07:54
809000 -- [-670.388] (-770.214) (-755.339) (-734.796) * (-751.328) [-671.251] (-782.658) (-775.426) -- 0:07:51
810000 -- [-675.133] (-784.038) (-750.528) (-734.950) * (-732.220) [-667.204] (-781.490) (-769.388) -- 0:07:49
Average standard deviation of split frequencies: 0.015613
811000 -- [-687.493] (-785.432) (-739.021) (-737.954) * (-737.965) [-663.522] (-761.612) (-773.990) -- 0:07:46
812000 -- [-668.222] (-771.501) (-749.905) (-729.963) * (-736.135) [-671.584] (-757.913) (-780.992) -- 0:07:44
813000 -- [-671.427] (-773.091) (-753.758) (-735.754) * (-728.352) [-676.564] (-760.772) (-787.227) -- 0:07:41
814000 -- [-668.535] (-762.021) (-747.131) (-733.426) * (-741.854) [-659.029] (-771.276) (-822.045) -- 0:07:39
815000 -- [-672.658] (-762.076) (-757.453) (-724.964) * (-754.879) [-672.730] (-778.466) (-791.107) -- 0:07:36
Average standard deviation of split frequencies: 0.015425
816000 -- [-671.737] (-754.780) (-755.458) (-732.298) * (-747.724) [-678.043] (-781.198) (-795.546) -- 0:07:34
817000 -- [-665.215] (-758.562) (-758.823) (-731.575) * (-743.493) [-677.833] (-788.089) (-795.159) -- 0:07:31
818000 -- [-675.089] (-762.439) (-767.004) (-744.744) * (-739.210) [-679.025] (-790.245) (-789.099) -- 0:07:28
819000 -- [-676.711] (-772.899) (-761.050) (-750.155) * (-731.401) [-674.243] (-782.811) (-796.561) -- 0:07:26
820000 -- [-670.800] (-775.042) (-769.938) (-741.357) * (-749.026) [-676.483] (-770.320) (-791.855) -- 0:07:23
Average standard deviation of split frequencies: 0.015725
821000 -- [-663.487] (-764.692) (-758.602) (-748.097) * (-740.201) [-668.249] (-788.298) (-794.327) -- 0:07:21
822000 -- [-662.447] (-769.210) (-765.496) (-762.520) * (-752.389) [-662.522] (-791.535) (-777.715) -- 0:07:18
823000 -- [-675.569] (-777.037) (-754.070) (-758.504) * (-732.591) [-671.241] (-791.034) (-785.898) -- 0:07:16
824000 -- [-679.762] (-775.026) (-744.485) (-773.906) * (-729.847) [-663.189] (-783.331) (-787.388) -- 0:07:13
825000 -- [-682.855] (-775.292) (-752.649) (-792.380) * (-735.587) [-662.311] (-786.034) (-775.964) -- 0:07:11
Average standard deviation of split frequencies: 0.015609
826000 -- [-686.479] (-787.156) (-745.646) (-778.523) * (-721.820) [-661.431] (-766.865) (-771.384) -- 0:07:08
827000 -- [-687.874] (-766.542) (-734.619) (-777.349) * (-729.157) [-667.262] (-766.449) (-782.709) -- 0:07:06
828000 -- [-685.229] (-755.846) (-744.739) (-772.407) * (-736.693) [-668.019] (-764.005) (-793.404) -- 0:07:03
829000 -- [-679.366] (-747.042) (-751.969) (-771.838) * (-730.820) [-664.878] (-765.798) (-777.170) -- 0:07:01
830000 -- [-686.135] (-745.527) (-751.015) (-768.980) * (-753.787) [-670.061] (-758.236) (-757.902) -- 0:06:59
Average standard deviation of split frequencies: 0.015847
831000 -- [-673.969] (-747.824) (-751.046) (-768.756) * (-738.410) [-662.668] (-780.558) (-761.432) -- 0:06:56
832000 -- [-675.500] (-763.021) (-749.283) (-765.761) * (-736.926) [-678.388] (-777.352) (-767.890) -- 0:06:54
833000 -- [-681.183] (-758.900) (-747.848) (-766.128) * (-734.264) [-679.465] (-777.414) (-775.988) -- 0:06:51
834000 -- [-671.970] (-753.130) (-754.367) (-763.156) * (-740.627) [-677.431] (-769.968) (-753.254) -- 0:06:49
835000 -- [-668.794] (-757.145) (-757.220) (-786.046) * (-738.149) [-681.745] (-775.483) (-763.304) -- 0:06:46
Average standard deviation of split frequencies: 0.015648
836000 -- [-677.298] (-759.118) (-758.888) (-777.845) * (-732.288) [-678.083] (-772.986) (-761.120) -- 0:06:44
837000 -- [-680.625] (-759.110) (-774.791) (-769.640) * (-732.576) [-670.819] (-779.173) (-771.269) -- 0:06:41
838000 -- [-679.752] (-761.889) (-767.480) (-765.818) * (-736.259) [-674.552] (-787.474) (-780.862) -- 0:06:39
839000 -- [-672.350] (-763.843) (-752.686) (-766.091) * (-742.964) [-669.372] (-788.141) (-775.450) -- 0:06:36
840000 -- [-682.346] (-769.367) (-753.668) (-764.685) * (-740.555) [-666.010] (-795.384) (-773.525) -- 0:06:34
Average standard deviation of split frequencies: 0.015827
841000 -- [-675.760] (-760.535) (-744.087) (-769.237) * (-738.252) [-667.628] (-778.496) (-770.467) -- 0:06:31
842000 -- [-682.667] (-758.742) (-743.093) (-780.273) * (-742.031) [-662.763] (-770.220) (-791.253) -- 0:06:28
843000 -- [-678.713] (-756.847) (-746.273) (-777.563) * (-735.667) [-666.928] (-777.088) (-783.679) -- 0:06:26
844000 -- [-684.236] (-762.200) (-744.143) (-772.402) * (-735.686) [-668.551] (-782.937) (-791.660) -- 0:06:23
845000 -- [-669.544] (-755.015) (-753.420) (-779.924) * (-736.613) [-660.725] (-772.632) (-780.866) -- 0:06:21
Average standard deviation of split frequencies: 0.016104
846000 -- [-669.099] (-767.514) (-744.192) (-769.505) * (-748.614) [-661.791] (-765.692) (-784.067) -- 0:06:18
847000 -- [-670.951] (-766.517) (-740.754) (-765.082) * (-736.828) [-657.110] (-774.408) (-788.680) -- 0:06:16
848000 -- [-671.793] (-762.650) (-730.008) (-769.009) * (-737.616) [-656.646] (-772.250) (-810.184) -- 0:06:13
849000 -- [-670.746] (-765.757) (-729.596) (-772.818) * (-735.447) [-655.988] (-768.401) (-796.616) -- 0:06:11
850000 -- [-670.771] (-763.825) (-739.391) (-758.219) * (-732.324) [-671.672] (-786.326) (-790.553) -- 0:06:08
Average standard deviation of split frequencies: 0.015835
851000 -- [-676.675] (-763.621) (-733.990) (-775.249) * (-747.721) [-663.396] (-784.857) (-777.912) -- 0:06:06
852000 -- [-675.602] (-765.384) (-739.325) (-789.630) * (-748.771) [-654.719] (-786.367) (-771.324) -- 0:06:03
853000 -- [-677.335] (-758.249) (-750.853) (-771.879) * (-738.870) [-673.369] (-769.168) (-764.602) -- 0:06:01
854000 -- [-686.089] (-759.617) (-751.055) (-759.552) * (-735.265) [-660.775] (-756.481) (-765.390) -- 0:05:58
855000 -- [-681.915] (-765.668) (-747.368) (-763.193) * (-731.492) [-665.350] (-762.906) (-776.506) -- 0:05:56
Average standard deviation of split frequencies: 0.015530
856000 -- [-674.405] (-773.239) (-745.295) (-766.327) * (-730.204) [-680.178] (-764.532) (-774.405) -- 0:05:53
857000 -- [-680.376] (-785.202) (-752.026) (-766.245) * (-743.656) [-675.780] (-774.455) (-776.923) -- 0:05:51
858000 -- [-675.079] (-777.310) (-753.330) (-770.894) * (-735.808) [-667.446] (-779.563) (-783.325) -- 0:05:48
859000 -- [-676.052] (-767.317) (-751.315) (-774.270) * (-745.978) [-664.746] (-770.495) (-773.432) -- 0:05:46
860000 -- [-672.280] (-764.186) (-747.036) (-765.509) * (-738.166) [-661.371] (-784.477) (-785.384) -- 0:05:43
Average standard deviation of split frequencies: 0.015610
861000 -- [-664.657] (-778.142) (-736.891) (-768.441) * (-746.886) [-670.053] (-774.089) (-764.723) -- 0:05:41
862000 -- [-668.943] (-770.370) (-751.646) (-771.601) * (-764.106) [-667.672] (-766.353) (-763.057) -- 0:05:38
863000 -- [-659.432] (-778.939) (-735.485) (-766.019) * (-754.704) [-665.914] (-772.075) (-771.953) -- 0:05:36
864000 -- [-664.113] (-768.861) (-735.877) (-763.855) * (-739.415) [-668.500] (-761.828) (-782.280) -- 0:05:33
865000 -- [-669.195] (-760.856) (-734.414) (-780.862) * (-735.337) [-671.345] (-762.605) (-790.733) -- 0:05:31
Average standard deviation of split frequencies: 0.015446
866000 -- [-669.253] (-764.153) (-737.854) (-765.457) * (-741.709) [-680.718] (-769.757) (-805.461) -- 0:05:28
867000 -- [-674.492] (-768.520) (-732.615) (-761.176) * (-754.522) [-680.323] (-769.720) (-790.733) -- 0:05:26
868000 -- [-675.340] (-760.349) (-736.931) (-766.590) * (-745.897) [-690.732] (-778.227) (-772.511) -- 0:05:23
869000 -- [-668.548] (-742.737) (-730.969) (-760.127) * (-740.400) [-687.686] (-764.412) (-768.234) -- 0:05:21
870000 -- [-679.509] (-748.582) (-730.261) (-760.371) * (-734.318) [-680.890] (-770.102) (-778.259) -- 0:05:18
Average standard deviation of split frequencies: 0.015485
871000 -- [-674.404] (-749.304) (-731.789) (-763.998) * (-733.855) [-672.706] (-777.345) (-772.490) -- 0:05:16
872000 -- [-680.233] (-757.384) (-750.287) (-752.027) * (-738.854) [-674.476] (-788.385) (-763.908) -- 0:05:13
873000 -- [-677.835] (-776.062) (-756.979) (-757.397) * (-736.312) [-665.450] (-781.775) (-773.363) -- 0:05:11
874000 -- [-671.272] (-777.782) (-751.941) (-739.700) * (-731.368) [-665.030] (-788.389) (-776.160) -- 0:05:08
875000 -- [-664.209] (-780.802) (-755.851) (-742.320) * (-739.693) [-664.855] (-786.840) (-769.838) -- 0:05:06
Average standard deviation of split frequencies: 0.015512
876000 -- [-660.488] (-786.025) (-767.318) (-734.788) * (-752.722) [-668.167] (-776.384) (-762.904) -- 0:05:03
877000 -- [-664.994] (-788.540) (-740.879) (-738.290) * (-741.132) [-658.548] (-783.429) (-762.862) -- 0:05:01
878000 -- [-671.736] (-781.234) (-752.718) (-739.328) * (-738.483) [-662.913] (-776.432) (-771.713) -- 0:04:58
879000 -- [-681.182] (-781.185) (-750.736) (-736.106) * (-732.875) [-671.371] (-776.354) (-759.987) -- 0:04:56
880000 -- [-679.892] (-777.538) (-747.666) (-744.688) * (-730.217) [-677.307] (-792.491) (-759.863) -- 0:04:53
Average standard deviation of split frequencies: 0.015564
881000 -- [-664.589] (-785.770) (-762.515) (-745.093) * (-739.274) [-670.661] (-794.618) (-774.168) -- 0:04:51
882000 -- [-668.157] (-773.209) (-749.224) (-748.226) * (-737.831) [-672.046] (-785.941) (-772.854) -- 0:04:48
883000 -- [-667.756] (-765.134) (-765.670) (-746.056) * (-736.889) [-673.111] (-800.942) (-770.025) -- 0:04:46
884000 -- [-677.612] (-759.166) (-774.306) (-742.895) * (-736.592) [-667.881] (-796.672) (-763.461) -- 0:04:43
885000 -- [-669.865] (-777.559) (-766.716) (-735.839) * (-748.577) [-668.623] (-781.235) (-756.264) -- 0:04:41
Average standard deviation of split frequencies: 0.015580
886000 -- [-682.245] (-769.686) (-774.836) (-744.374) * (-740.477) [-677.444] (-771.693) (-770.733) -- 0:04:38
887000 -- [-696.623] (-766.279) (-772.439) (-737.070) * (-747.880) [-678.416] (-762.754) (-769.123) -- 0:04:36
888000 -- [-686.042] (-757.889) (-772.526) (-731.972) * (-760.394) [-679.264] (-772.100) (-766.493) -- 0:04:33
889000 -- [-678.666] (-774.586) (-781.842) (-734.717) * (-745.290) [-676.705] (-791.957) (-768.134) -- 0:04:31
890000 -- [-682.784] (-763.378) (-788.031) (-726.878) * (-754.756) [-665.498] (-794.035) (-775.602) -- 0:04:28
Average standard deviation of split frequencies: 0.015729
891000 -- [-677.248] (-758.709) (-781.933) (-738.448) * (-748.483) [-676.860] (-787.608) (-777.705) -- 0:04:26
892000 -- [-671.106] (-754.652) (-769.419) (-747.333) * (-733.788) [-660.555] (-783.844) (-779.621) -- 0:04:23
893000 -- [-677.400] (-760.020) (-770.166) (-751.889) * (-722.605) [-666.829] (-772.649) (-778.729) -- 0:04:21
894000 -- [-681.811] (-775.303) (-758.549) (-748.832) * (-748.368) [-677.761] (-768.521) (-766.202) -- 0:04:19
895000 -- [-678.721] (-766.919) (-751.292) (-748.970) * (-749.321) [-672.479] (-769.391) (-780.730) -- 0:04:16
Average standard deviation of split frequencies: 0.015810
896000 -- [-671.656] (-783.403) (-760.594) (-753.559) * (-751.365) [-670.763] (-770.591) (-780.960) -- 0:04:14
897000 -- [-664.500] (-788.165) (-762.313) (-739.273) * (-752.766) [-674.326] (-776.711) (-774.020) -- 0:04:11
898000 -- [-672.924] (-765.976) (-766.662) (-726.660) * (-754.478) [-670.047] (-762.754) (-787.510) -- 0:04:09
899000 -- [-666.801] (-764.066) (-770.974) (-736.359) * (-753.437) [-682.239] (-765.278) (-784.003) -- 0:04:07
900000 -- [-670.582] (-771.409) (-757.667) (-750.202) * (-746.549) [-668.558] (-776.690) (-788.182) -- 0:04:04
Average standard deviation of split frequencies: 0.016081
901000 -- [-673.685] (-764.545) (-765.037) (-750.195) * (-746.321) [-675.329] (-780.644) (-764.516) -- 0:04:02
902000 -- [-675.388] (-773.206) (-762.433) (-750.117) * (-735.980) [-663.450] (-778.329) (-768.256) -- 0:03:59
903000 -- [-689.884] (-764.247) (-762.940) (-751.621) * (-742.033) [-666.025] (-775.751) (-779.877) -- 0:03:57
904000 -- [-669.164] (-774.719) (-771.027) (-745.525) * (-735.433) [-670.855] (-774.772) (-774.284) -- 0:03:54
905000 -- [-667.717] (-777.409) (-763.185) (-741.955) * (-742.143) [-669.074] (-767.786) (-774.807) -- 0:03:52
Average standard deviation of split frequencies: 0.015935
906000 -- [-673.156] (-788.439) (-780.073) (-748.834) * (-749.631) [-674.968] (-771.809) (-785.653) -- 0:03:50
907000 -- [-674.274] (-779.361) (-766.001) (-733.502) * (-732.401) [-667.043] (-770.157) (-783.800) -- 0:03:47
908000 -- [-669.555] (-769.563) (-781.154) (-731.282) * (-734.235) [-669.914] (-776.194) (-785.034) -- 0:03:45
909000 -- [-669.008] (-768.611) (-767.191) (-733.335) * (-730.215) [-677.695] (-769.327) (-769.632) -- 0:03:42
910000 -- [-666.965] (-768.757) (-772.109) (-744.785) * (-745.500) [-684.712] (-782.791) (-764.621) -- 0:03:40
Average standard deviation of split frequencies: 0.016125
911000 -- [-666.943] (-779.285) (-759.595) (-741.523) * (-745.467) [-685.861] (-776.345) (-778.033) -- 0:03:37
912000 -- [-674.713] (-780.764) (-754.086) (-741.288) * (-748.720) [-680.297] (-777.385) (-776.859) -- 0:03:35
913000 -- [-673.923] (-790.937) (-747.062) (-753.999) * (-746.966) [-683.141] (-781.830) (-772.303) -- 0:03:32
914000 -- [-671.216] (-780.357) (-753.964) (-762.822) * (-761.229) [-672.583] (-775.869) (-768.602) -- 0:03:30
915000 -- [-684.154] (-782.247) (-765.176) (-758.950) * (-746.293) [-678.950] (-788.084) (-774.191) -- 0:03:27
Average standard deviation of split frequencies: 0.016211
916000 -- [-665.651] (-801.870) (-766.163) (-749.785) * (-753.589) [-662.435] (-774.959) (-778.729) -- 0:03:25
917000 -- [-669.546] (-803.524) (-767.433) (-740.266) * (-751.571) [-668.816] (-768.074) (-778.726) -- 0:03:22
918000 -- [-669.365] (-788.706) (-771.840) (-734.982) * (-744.095) [-662.341] (-773.023) (-774.313) -- 0:03:20
919000 -- [-667.731] (-781.466) (-771.353) (-739.371) * (-744.294) [-669.982] (-762.391) (-773.536) -- 0:03:17
920000 -- [-679.794] (-779.504) (-777.947) (-752.884) * (-736.007) [-673.443] (-766.382) (-763.759) -- 0:03:15
Average standard deviation of split frequencies: 0.016167
921000 -- [-682.619] (-762.860) (-766.294) (-752.532) * (-738.672) [-675.979] (-763.901) (-797.995) -- 0:03:12
922000 -- [-665.746] (-761.776) (-783.983) (-753.868) * (-739.916) [-683.445] (-769.387) (-782.836) -- 0:03:10
923000 -- [-673.632] (-765.877) (-776.914) (-756.610) * (-736.201) [-673.306] (-783.171) (-779.449) -- 0:03:07
924000 -- [-660.281] (-758.530) (-781.723) (-751.389) * (-737.693) [-674.520] (-775.338) (-787.562) -- 0:03:05
925000 -- [-663.973] (-756.443) (-769.016) (-749.502) * (-744.077) [-675.188] (-778.423) (-777.918) -- 0:03:02
Average standard deviation of split frequencies: 0.016278
926000 -- [-657.834] (-770.195) (-769.011) (-755.063) * (-743.679) [-678.993] (-786.847) (-766.726) -- 0:03:00
927000 -- [-662.235] (-777.999) (-773.133) (-756.807) * (-742.827) [-685.207] (-794.916) (-779.529) -- 0:02:58
928000 -- [-668.736] (-789.525) (-762.327) (-742.558) * (-746.462) [-679.059] (-782.287) (-780.292) -- 0:02:55
929000 -- [-681.303] (-795.174) (-760.344) (-743.932) * (-739.187) [-675.260] (-783.397) (-781.198) -- 0:02:53
930000 -- [-673.583] (-792.815) (-759.038) (-747.350) * (-743.602) [-675.278] (-790.734) (-777.431) -- 0:02:50
Average standard deviation of split frequencies: 0.015867
931000 -- [-665.226] (-795.177) (-756.380) (-748.446) * (-740.635) [-672.410] (-766.097) (-776.010) -- 0:02:48
932000 -- [-669.248] (-792.894) (-755.081) (-742.970) * (-754.616) [-670.797] (-760.029) (-760.610) -- 0:02:45
933000 -- [-663.850] (-784.201) (-755.159) (-742.964) * (-757.812) [-670.260] (-758.841) (-766.897) -- 0:02:43
934000 -- [-665.058] (-777.556) (-756.746) (-743.941) * (-760.688) [-661.924] (-764.239) (-782.877) -- 0:02:41
935000 -- [-675.501] (-748.998) (-749.513) (-734.938) * (-749.566) [-664.677] (-760.728) (-786.185) -- 0:02:38
Average standard deviation of split frequencies: 0.015953
936000 -- [-666.364] (-750.747) (-757.650) (-732.654) * (-732.807) [-683.161] (-763.316) (-792.329) -- 0:02:36
937000 -- [-674.910] (-753.144) (-750.217) (-728.740) * (-745.234) [-680.494] (-762.543) (-784.506) -- 0:02:33
938000 -- [-673.997] (-745.969) (-760.965) (-737.500) * (-763.001) [-675.101] (-771.239) (-782.750) -- 0:02:31
939000 -- [-667.509] (-757.057) (-763.065) (-738.442) * (-747.101) [-674.254] (-768.171) (-798.089) -- 0:02:28
940000 -- [-670.891] (-759.514) (-762.466) (-752.016) * (-735.676) [-678.065] (-766.049) (-770.988) -- 0:02:26
Average standard deviation of split frequencies: 0.016112
941000 -- [-670.326] (-756.833) (-762.478) (-736.562) * (-752.258) [-680.228] (-772.118) (-762.732) -- 0:02:23
942000 -- [-671.348] (-777.305) (-758.708) (-729.972) * (-747.876) [-682.171] (-773.359) (-757.227) -- 0:02:21
943000 -- [-677.345] (-779.370) (-752.829) (-743.325) * (-749.120) [-673.022] (-779.531) (-774.443) -- 0:02:18
944000 -- [-674.824] (-757.089) (-743.000) (-728.581) * (-742.503) [-670.828] (-778.888) (-775.481) -- 0:02:16
945000 -- [-668.624] (-758.309) (-758.858) (-744.436) * (-749.288) [-667.215] (-773.083) (-784.197) -- 0:02:13
Average standard deviation of split frequencies: 0.016083
946000 -- [-677.272] (-758.426) (-753.263) (-756.375) * (-740.283) [-663.861] (-771.064) (-788.426) -- 0:02:11
947000 -- [-672.860] (-766.525) (-762.278) (-749.803) * (-734.150) [-666.903] (-753.961) (-790.237) -- 0:02:09
948000 -- [-672.329] (-760.566) (-766.266) (-744.858) * (-739.237) [-668.138] (-766.239) (-779.214) -- 0:02:06
949000 -- [-669.384] (-772.943) (-765.630) (-741.560) * (-733.303) [-671.929] (-761.231) (-767.154) -- 0:02:04
950000 -- [-675.469] (-772.197) (-758.985) (-745.066) * (-727.190) [-680.337] (-759.122) (-778.342) -- 0:02:01
Average standard deviation of split frequencies: 0.016116
951000 -- [-667.865] (-767.672) (-761.683) (-748.772) * (-733.768) [-679.164] (-767.454) (-770.578) -- 0:01:59
952000 -- [-673.322] (-786.196) (-766.261) (-738.953) * (-745.685) [-677.831] (-762.793) (-762.032) -- 0:01:56
953000 -- [-682.182] (-781.446) (-759.460) (-735.534) * (-748.809) [-679.919] (-766.544) (-764.370) -- 0:01:54
954000 -- [-681.103] (-792.513) (-767.662) (-742.308) * (-747.003) [-676.147] (-762.628) (-766.014) -- 0:01:51
955000 -- [-681.014] (-773.903) (-755.952) (-743.162) * (-748.751) [-681.600] (-766.277) (-779.000) -- 0:01:49
Average standard deviation of split frequencies: 0.015939
956000 -- [-676.966] (-771.139) (-755.440) (-734.294) * (-741.401) [-682.576] (-770.443) (-776.434) -- 0:01:47
957000 -- [-675.381] (-767.040) (-771.763) (-740.107) * (-738.032) [-682.982] (-762.594) (-775.905) -- 0:01:44
958000 -- [-675.405] (-765.706) (-766.285) (-733.486) * (-733.788) [-690.929] (-765.332) (-769.729) -- 0:01:42
959000 -- [-669.135] (-770.138) (-760.680) (-745.851) * (-739.477) [-688.555] (-769.756) (-764.042) -- 0:01:39
960000 -- [-688.837] (-762.434) (-740.501) (-732.009) * (-739.167) [-685.215] (-773.359) (-756.237) -- 0:01:37
Average standard deviation of split frequencies: 0.015923
961000 -- [-677.540] (-762.528) (-743.813) (-734.548) * (-750.117) [-684.386] (-772.804) (-756.194) -- 0:01:34
962000 -- [-683.935] (-773.243) (-738.863) (-723.624) * (-738.983) [-684.865] (-787.393) (-762.652) -- 0:01:32
963000 -- [-691.737] (-796.612) (-737.208) (-729.467) * (-744.137) [-679.737] (-783.900) (-767.729) -- 0:01:29
964000 -- [-677.816] (-767.798) (-745.203) (-736.325) * (-738.859) [-675.829] (-785.286) (-761.139) -- 0:01:27
965000 -- [-689.632] (-786.365) (-752.605) (-728.968) * (-738.325) [-679.001] (-785.550) (-774.942) -- 0:01:25
Average standard deviation of split frequencies: 0.016348
966000 -- [-682.111] (-780.696) (-756.989) (-735.332) * (-761.354) [-680.366] (-784.836) (-765.719) -- 0:01:22
967000 -- [-678.098] (-789.207) (-761.655) (-737.515) * (-751.077) [-679.466] (-787.766) (-763.820) -- 0:01:20
968000 -- [-675.610] (-783.485) (-764.468) (-741.034) * (-748.889) [-678.683] (-780.227) (-771.275) -- 0:01:17
969000 -- [-677.479] (-788.970) (-745.322) (-741.468) * (-749.812) [-689.988] (-796.796) (-768.242) -- 0:01:15
970000 -- [-673.791] (-768.251) (-742.424) (-744.833) * (-750.078) [-689.080] (-798.890) (-759.761) -- 0:01:12
Average standard deviation of split frequencies: 0.016536
971000 -- [-683.236] (-768.190) (-746.737) (-743.831) * (-752.567) [-687.710] (-780.756) (-763.179) -- 0:01:10
972000 -- [-681.435] (-770.650) (-749.031) (-740.628) * (-755.938) [-689.763] (-792.135) (-771.046) -- 0:01:07
973000 -- [-669.806] (-773.132) (-744.603) (-748.474) * (-746.376) [-679.387] (-801.806) (-760.132) -- 0:01:05
974000 -- [-669.678] (-767.966) (-749.038) (-742.714) * (-756.050) [-685.822] (-795.375) (-765.994) -- 0:01:03
975000 -- [-673.842] (-784.939) (-747.897) (-736.578) * (-741.294) [-686.011] (-794.543) (-759.539) -- 0:01:00
Average standard deviation of split frequencies: 0.016192
976000 -- [-669.340] (-772.558) (-746.341) (-740.168) * (-741.104) [-679.541] (-793.007) (-751.205) -- 0:00:58
977000 -- [-672.856] (-781.828) (-748.019) (-745.717) * (-734.798) [-681.270] (-786.564) (-758.371) -- 0:00:55
978000 -- [-669.743] (-782.276) (-744.909) (-746.087) * (-726.481) [-685.757] (-790.632) (-753.128) -- 0:00:53
979000 -- [-673.279] (-775.571) (-740.142) (-738.439) * (-727.512) [-685.775] (-792.026) (-750.054) -- 0:00:51
980000 -- [-675.098] (-780.204) (-742.775) (-742.975) * (-734.447) [-681.676] (-799.751) (-745.403) -- 0:00:48
Average standard deviation of split frequencies: 0.016200
981000 -- [-677.967] (-764.142) (-758.126) (-740.907) * (-736.676) [-681.591] (-809.669) (-756.897) -- 0:00:46
982000 -- [-673.378] (-769.676) (-779.344) (-739.376) * (-737.579) [-686.175] (-814.695) (-756.974) -- 0:00:43
983000 -- [-664.711] (-783.403) (-775.051) (-723.250) * (-746.099) [-683.435] (-801.857) (-747.378) -- 0:00:41
984000 -- [-665.803] (-764.942) (-766.102) (-727.772) * (-754.201) [-681.197] (-801.651) (-762.967) -- 0:00:38
985000 -- [-675.618] (-764.510) (-775.818) (-730.944) * (-752.958) [-684.947] (-800.207) (-751.757) -- 0:00:36
Average standard deviation of split frequencies: 0.015957
986000 -- [-667.291] (-766.370) (-788.013) (-739.558) * (-754.951) [-680.284] (-803.586) (-756.262) -- 0:00:34
987000 -- [-668.093] (-770.326) (-774.217) (-736.083) * (-742.003) [-672.628] (-804.428) (-763.541) -- 0:00:31
988000 -- [-666.345] (-754.975) (-781.528) (-744.386) * (-759.057) [-672.002] (-819.883) (-759.960) -- 0:00:29
989000 -- [-669.434] (-762.083) (-778.987) (-743.004) * (-764.735) [-676.481] (-802.319) (-767.604) -- 0:00:26
990000 -- [-664.788] (-772.276) (-780.106) (-750.543) * (-762.336) [-673.546] (-800.301) (-765.988) -- 0:00:24
Average standard deviation of split frequencies: 0.015988
991000 -- [-674.863] (-765.108) (-778.164) (-748.107) * (-753.354) [-672.644] (-797.354) (-767.657) -- 0:00:21
992000 -- [-679.215] (-769.102) (-755.104) (-734.356) * (-755.477) [-678.711] (-796.497) (-768.889) -- 0:00:19
993000 -- [-684.406] (-781.825) (-770.569) (-731.998) * (-750.679) [-682.051] (-789.778) (-768.240) -- 0:00:16
994000 -- [-677.149] (-769.359) (-767.923) (-736.192) * (-759.767) [-671.469] (-791.275) (-765.254) -- 0:00:14
995000 -- [-678.879] (-768.047) (-758.001) (-738.579) * (-754.654) [-678.996] (-790.944) (-759.837) -- 0:00:12
Average standard deviation of split frequencies: 0.015820
996000 -- [-678.599] (-771.025) (-762.750) (-732.080) * (-756.341) [-675.109] (-793.451) (-761.374) -- 0:00:09
997000 -- [-675.843] (-748.423) (-759.863) (-740.843) * (-748.508) [-681.711] (-785.898) (-763.979) -- 0:00:07
998000 -- [-682.778] (-766.159) (-765.882) (-744.273) * (-744.033) [-673.776] (-781.050) (-776.914) -- 0:00:04
999000 -- [-675.289] (-767.145) (-757.636) (-753.228) * (-742.616) [-674.248] (-779.966) (-776.503) -- 0:00:02
1000000 -- [-672.089] (-780.176) (-759.124) (-735.430) * (-748.128) [-677.590] (-775.447) (-777.880) -- 0:00:00
Average standard deviation of split frequencies: 0.015899
Analysis completed in 40 mins 25 seconds
Analysis used 2421.64 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -654.02
Likelihood of best state for "cold" chain of run 2 was -709.91
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
62.0 % ( 62 %) Dirichlet(Revmat{all})
77.4 % ( 62 %) Slider(Revmat{all})
43.9 % ( 31 %) Dirichlet(Pi{all})
41.1 % ( 32 %) Slider(Pi{all})
66.8 % ( 39 %) Multiplier(Alpha{1,2})
69.1 % ( 51 %) Multiplier(Alpha{3})
83.5 % ( 64 %) Slider(Pinvar{all})
78.7 % ( 76 %) ExtSPR(Tau{all},V{all})
74.9 % ( 75 %) ExtTBR(Tau{all},V{all})
84.5 % ( 86 %) NNI(Tau{all},V{all})
50.1 % ( 62 %) ParsSPR(Tau{all},V{all})
27.7 % ( 25 %) Multiplier(V{all})
85.9 % ( 89 %) Nodeslider(V{all})
26.2 % ( 23 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
61.9 % ( 57 %) Dirichlet(Revmat{all})
77.7 % ( 69 %) Slider(Revmat{all})
42.7 % ( 38 %) Dirichlet(Pi{all})
40.4 % ( 23 %) Slider(Pi{all})
67.0 % ( 43 %) Multiplier(Alpha{1,2})
68.5 % ( 44 %) Multiplier(Alpha{3})
82.9 % ( 65 %) Slider(Pinvar{all})
78.8 % ( 78 %) ExtSPR(Tau{all},V{all})
75.2 % ( 76 %) ExtTBR(Tau{all},V{all})
84.6 % ( 82 %) NNI(Tau{all},V{all})
50.2 % ( 47 %) ParsSPR(Tau{all},V{all})
27.8 % ( 18 %) Multiplier(V{all})
85.7 % ( 87 %) Nodeslider(V{all})
26.0 % ( 27 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.00 0.00 0.00
2 | 166337 0.02 0.00
3 | 167221 166957 0.07
4 | 166515 166604 166366
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.00 0.00 0.00
2 | 166433 0.01 0.00
3 | 166485 166492 0.07
4 | 166789 166531 167270
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)
+------------------------------------------------------------+ -663.98
| 2 2 |
|2 |
| 1 2 1 * 2 2 |
| 1 2 1 1 1 22 12 2 1 |
| 122 2 2 222 2 2 * *2 11 1 |
|11 1 21 112 1 2 1 12 * 222 11 2 2 1 |
| 1 2 211 2 1 1 2 2 2 |
| 22 12 1 2 1 22 1 1 2 *|
| 1 1 1 2 22 1 1 1* 1 |
| 2 * 1 1 1 |
| * 1 2 |
| 1 1 1 2 * 22 |
| |
| |
| 1 1 1 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -688.93
^ ^
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 -661.62 -700.89
2 -660.67 -693.77
--------------------------------------
TOTAL -661.04 -700.20
--------------------------------------
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} 0.211870 0.001216 0.148456 0.282247 0.209416 1057.57 1068.71 1.000
r(A<->C){all} 0.023634 0.000512 0.000047 0.068833 0.017221 242.68 285.83 1.000
r(A<->G){all} 0.233715 0.005291 0.102901 0.391067 0.229224 163.29 172.44 1.000
r(A<->T){all} 0.038920 0.000466 0.004673 0.079328 0.035224 370.75 418.93 1.002
r(C<->G){all} 0.116603 0.002896 0.025740 0.219404 0.108499 183.13 192.29 1.001
r(C<->T){all} 0.501293 0.005994 0.363312 0.663087 0.502366 160.53 163.26 1.000
r(G<->T){all} 0.085836 0.001399 0.020341 0.159640 0.080407 158.50 193.88 1.000
pi(A){all} 0.238772 0.000699 0.184655 0.286728 0.238327 622.00 784.64 1.001
pi(C){all} 0.187073 0.000551 0.143471 0.233092 0.186679 775.53 808.93 1.001
pi(G){all} 0.180512 0.000524 0.139618 0.228818 0.180127 659.55 784.02 1.000
pi(T){all} 0.393644 0.000929 0.332546 0.450827 0.393842 584.81 609.26 1.000
alpha{1,2} 1.910565 1.431902 0.258419 4.268874 1.634161 1136.44 1160.19 1.001
alpha{3} 1.468136 1.000974 0.105677 3.488464 1.208873 1036.96 1063.14 1.000
pinvar{all} 0.144457 0.012566 0.000136 0.363203 0.117226 450.39 550.17 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
Setting sumt conformat to Simple
Setting urn-in to 2500
Summarizing trees in files "/data/mrbayes_input.nex.run1.t" and "/data/mrbayes_input.nex.run2.t"
Using relative burnin ('relburnin=yes'), discarding the first 25 % of sampled trees
Writing statistics to files /data/mrbayes_input.nex.<parts|tstat|vstat|trprobs|con>
Examining first file ...
Found one tree block in file "/data/mrbayes_input.nex.run1.t" with 2001 trees in last block
Expecting the same number of trees in the last tree block of all files
Tree reading status:
0 10 20 30 40 50 60 70 80 90 100
v-------v-------v-------v-------v-------v-------v-------v-------v-------v-------v
*********************************************************************************
Read a total of 4002 trees in 2 files (sampling 3002 of them)
(Each file contained 2001 trees of which 1501 were sampled)
General explanation:
In an unrooted tree, a taxon bipartition (split) is specified by removing a
branch, thereby dividing the species into those to the left and those to the
right of the branch. Here, taxa to one side of the removed branch are denoted
'.' and those to the other side are denoted '*'. Specifically, the '.' symbol
is used for the taxa on the same side as the outgroup.
In a rooted or clock tree, the tree is rooted using the model and not by
reference to an outgroup. Each bipartition therefore corresponds to a clade,
that is, a group that includes all the descendants of a particular branch in
the tree. Taxa that are included in each clade are denoted using '*', and
taxa that are not included are denoted using the '.' symbol.
The output first includes a key to all the bipartitions with frequency larger
or equual to (Minpartfreq) in at least one run. Minpartfreq is a parameter to
sumt command and currently it is set to 0.10. This is followed by a table
with statistics for the informative bipartitions (those including at least
two taxa), sorted from highest to lowest probability. For each bipartition,
the table gives the number of times the partition or split was observed in all
runs (#obs) and the posterior probability of the bipartition (Probab.), which
is the same as the split frequency. If several runs are summarized, this is
followed by the minimum split frequency (Min(s)), the maximum frequency
(Max(s)), and the standard deviation of frequencies (Stddev(s)) across runs.
The latter value should approach 0 for all bipartitions as MCMC runs converge.
This is followed by a table summarizing branch lengths, node heights (if a
clock model was used) and relaxed clock parameters (if a relaxed clock model
was used). The mean, variance, and 95 % credible interval are given for each
of these parameters. If several runs are summarized, the potential scale
reduction factor (PSRF) is also given; it should approach 1 as runs converge.
Node heights will take calibration points into account, if such points were
used in the analysis.
Note that Stddev may be unreliable if the partition is not present in all
runs (the last column indicates the number of runs that sampled the partition
if more than one run is summarized). The PSRF is not calculated at all if
the partition is not present in all runs.The PSRF is also sensitive to small
sample sizes and it should only be considered a rough guide to convergence
since some of the assumptions allowing one to interpret it as a true potential
scale reduction factor are violated in MrBayes.
List of taxa in bipartitions:
1 -- C308
2 -- C65
3 -- C199
4 -- C135
5 -- C132
6 -- C176
7 -- C325
8 -- C312
9 -- C181
10 -- C146
11 -- C188
12 -- C210
13 -- C331
14 -- C166
15 -- C229
16 -- C167
17 -- C192
18 -- C338
19 -- C531
20 -- C274
21 -- C190
22 -- C203
23 -- C505
24 -- C337
25 -- C510
26 -- C574
27 -- C2
28 -- C216
29 -- C343
30 -- C369
31 -- C108
32 -- C22
33 -- C226
34 -- C571
35 -- C351
36 -- C93
37 -- C495
38 -- C162
39 -- C253
40 -- C238
41 -- C357
42 -- C222
43 -- C465
44 -- C27
45 -- C60
46 -- C247
47 -- C362
48 -- C107
49 -- C354
50 -- C519
51 -- C298
52 -- C259
53 -- C368
54 -- C113
55 -- C486
56 -- C658
57 -- C573
58 -- C322
59 -- C271
60 -- C374
61 -- C119
62 -- C618
63 -- C627
64 -- C346
65 -- C283
66 -- C380
67 -- C252
68 -- C125
69 -- C18
70 -- C334
71 -- C626
72 -- C295
73 -- C386
74 -- C131
75 -- C284
76 -- C394
77 -- C650
78 -- C521
79 -- C307
80 -- C392
81 -- C137
82 -- C422
83 -- C454
84 -- C674
85 -- C319
86 -- C398
87 -- C143
88 -- C141
89 -- C575
90 -- C333
Key to taxon bipartitions (saved to file "/data/mrbayes_input.nex.parts"):
ID -- Partition
--------------------------------------------------------------------------------
1 -- .**********************************************************************
2 -- .*.....................................................................
3 -- ..*....................................................................
4 -- ...*...................................................................
5 -- ....*..................................................................
6 -- .....*.................................................................
7 -- ......*................................................................
8 -- .......*...............................................................
9 -- ........*..............................................................
10 -- .........*.............................................................
11 -- ..........*............................................................
12 -- ...........*...........................................................
13 -- ............*..........................................................
14 -- .............*.........................................................
15 -- ..............*........................................................
16 -- ...............*.......................................................
17 -- ................*......................................................
18 -- .................*.....................................................
19 -- ..................*....................................................
20 -- ...................*...................................................
21 -- ....................*..................................................
22 -- .....................*.................................................
23 -- ......................*................................................
24 -- .......................*...............................................
25 -- ........................*..............................................
26 -- .........................*.............................................
27 -- ..........................*............................................
28 -- ...........................*...........................................
29 -- ............................*..........................................
30 -- .............................*.........................................
31 -- ..............................*........................................
32 -- ...............................*.......................................
33 -- ................................*......................................
34 -- .................................*.....................................
35 -- ..................................*....................................
36 -- ...................................*...................................
37 -- ....................................*..................................
38 -- .....................................*.................................
39 -- ......................................*................................
40 -- .......................................*...............................
41 -- ........................................*..............................
42 -- .........................................*.............................
43 -- ..........................................*............................
44 -- ...........................................*...........................
45 -- ............................................*..........................
46 -- .............................................*.........................
47 -- ..............................................*........................
48 -- ...............................................*.......................
49 -- ................................................*......................
50 -- .................................................*.....................
51 -- ..................................................*....................
52 -- ...................................................*...................
53 -- ....................................................*..................
54 -- .....................................................*.................
55 -- ......................................................*................
56 -- .......................................................*...............
57 -- ........................................................*..............
58 -- .........................................................*.............
59 -- ..........................................................*............
60 -- ...........................................................*...........
61 -- ............................................................*..........
62 -- .............................................................*.........
63 -- ..............................................................*........
64 -- ...............................................................*.......
65 -- ................................................................*......
66 -- .................................................................*.....
67 -- ..................................................................*....
68 -- ...................................................................*...
69 -- ....................................................................*..
70 -- .....................................................................*.
71 -- ......................................................................*
72 -- .......................................................................
73 -- .......................................................................
74 -- .......................................................................
75 -- .......................................................................
76 -- .......................................................................
77 -- .......................................................................
78 -- .......................................................................
79 -- .......................................................................
80 -- .......................................................................
81 -- .......................................................................
82 -- .......................................................................
83 -- .......................................................................
84 -- .......................................................................
85 -- .......................................................................
86 -- .......................................................................
87 -- .......................................................................
88 -- .......................................................................
89 -- .......................................................................
90 -- .......................................................................
91 -- ...............................*.......................................
92 -- .......................................................................
93 -- ..........*................*.............*.............................
94 -- .*******************************************************.**************
95 -- ......................................*................................
96 -- .*.......**..*.*.*.*.......*...*..*..*...*..*.............*............
97 -- .*.................*...........*..*....................................
98 -- .*........*........*.......*...*..*......*..*..........................
99 -- .*........*........*.......*...*..*......*.............................
100 -- ...................*...........*..*....................................
101 -- ...................................*...........*.......................
102 -- .....*..*..............*.............................................*.
103 -- .*.**....**..*.*.*.**......*...*..*..*...*..*..........*..*.*..*.*.....
104 -- .******.************************************************.**************
105 -- ..........*................*...........................................
106 -- ........................................................*..............
107 -- .**********************************************************************
108 -- ...................*...........*.......................................
109 -- ...............................*..*....................................
110 -- ...........................*.............*.............................
111 -- ...................*..............*....................................
112 -- ..........*..............................*.............................
113 -- .*******************************************************.**************
114 -- .....*.................................................................
115 -- .....*.................*.............................................*.
116 -- .......................*...............................................
117 -- ........*..............*...............................................
118 -- ........*..............................................................
119 -- .......................*.............................................*.
120 -- .....*...............................................................*.
121 -- .....................................................................*.
122 -- .....*..*..............*.............................................*.
123 -- ........*..............*.............................................*.
124 -- .....*..*..............................................................
125 -- ........*............................................................*.
126 -- .....*.................*...............................................
127 -- .....*..*............................................................*.
128 -- .....*..*..............*...............................................
129 -- ........*..............*...............................................
130 -- ........*..............*.............................................*.
--------------------------------------------------------------------------------
ID -- Partition (continued)
--------------------------------------------------------------------------------
1 -- *******************
2 -- ...................
3 -- ...................
4 -- ...................
5 -- ...................
6 -- ...................
7 -- ...................
8 -- ...................
9 -- ...................
10 -- ...................
11 -- ...................
12 -- ...................
13 -- ...................
14 -- ...................
15 -- ...................
16 -- ...................
17 -- ...................
18 -- ...................
19 -- ...................
20 -- ...................
21 -- ...................
22 -- ...................
23 -- ...................
24 -- ...................
25 -- ...................
26 -- ...................
27 -- ...................
28 -- ...................
29 -- ...................
30 -- ...................
31 -- ...................
32 -- ...................
33 -- ...................
34 -- ...................
35 -- ...................
36 -- ...................
37 -- ...................
38 -- ...................
39 -- ...................
40 -- ...................
41 -- ...................
42 -- ...................
43 -- ...................
44 -- ...................
45 -- ...................
46 -- ...................
47 -- ...................
48 -- ...................
49 -- ...................
50 -- ...................
51 -- ...................
52 -- ...................
53 -- ...................
54 -- ...................
55 -- ...................
56 -- ...................
57 -- ...................
58 -- ...................
59 -- ...................
60 -- ...................
61 -- ...................
62 -- ...................
63 -- ...................
64 -- ...................
65 -- ...................
66 -- ...................
67 -- ...................
68 -- ...................
69 -- ...................
70 -- ...................
71 -- ...................
72 -- *..................
73 -- .*.................
74 -- ..*................
75 -- ...*...............
76 -- ....*..............
77 -- .....*.............
78 -- ......*............
79 -- .......*...........
80 -- ........*..........
81 -- .........*.........
82 -- ..........*........
83 -- ...........*.......
84 -- ............*......
85 -- .............*.....
86 -- ..............*....
87 -- ...............*...
88 -- ................*..
89 -- .................*.
90 -- ..................*
91 -- ...........*.......
92 -- ........*.....*....
93 -- ...................
94 -- *******.***********
95 -- ...*...............
96 -- ..*........**......
97 -- ...........*.......
98 -- ...........*.......
99 -- ...........*.......
100 -- ...........*.......
101 -- ...................
102 -- ..................*
103 -- ..*......*.***..*..
104 -- *******.***********
105 -- ...................
106 -- .......*...........
107 -- *******.***********
108 -- ...........*.......
109 -- ...........*.......
110 -- ...................
111 -- ...................
112 -- ...................
113 -- *******************
114 -- ..................*
115 -- ..................*
116 -- ..................*
117 -- ...................
118 -- ..................*
119 -- ...................
120 -- ...................
121 -- ..................*
122 -- ...................
123 -- ..................*
124 -- ...................
125 -- ...................
126 -- ...................
127 -- ..................*
128 -- ..................*
129 -- ..................*
130 -- ...................
--------------------------------------------------------------------------------
Summary statistics for informative taxon bipartitions
(saved to file "/data/mrbayes_input.nex.tstat"):
ID #obs Probab. Sd(s)+ Min(s) Max(s) Nruns
-----------------------------------------------------------------
91 3002 1.000000 0.000000 1.000000 1.000000 2
92 3002 1.000000 0.000000 1.000000 1.000000 2
93 3002 1.000000 0.000000 1.000000 1.000000 2
94 2971 0.989674 0.000471 0.989340 0.990007 2
95 2961 0.986342 0.018373 0.973351 0.999334 2
96 2959 0.985676 0.018373 0.972685 0.998668 2
97 2948 0.982012 0.000942 0.981346 0.982678 2
98 2894 0.964024 0.028265 0.944037 0.984011 2
99 2873 0.957029 0.002355 0.955363 0.958694 2
100 2850 0.949367 0.009422 0.942705 0.956029 2
101 2600 0.866089 0.004711 0.862758 0.869420 2
102 2496 0.831446 0.009422 0.824783 0.838108 2
103 2492 0.830113 0.081970 0.772152 0.888075 2
104 2084 0.694204 0.005653 0.690207 0.698201 2
105 1109 0.369420 0.001413 0.368421 0.370420 2
106 1045 0.348101 0.010835 0.340440 0.355763 2
107 1039 0.346103 0.003298 0.343771 0.348434 2
108 1026 0.341772 0.004711 0.338441 0.345103 2
109 969 0.322785 0.019315 0.309127 0.336442 2
110 948 0.315789 0.002827 0.313791 0.317788 2
111 946 0.315123 0.016017 0.303797 0.326449 2
112 945 0.314790 0.001413 0.313791 0.315789 2
113 909 0.302798 0.008009 0.297135 0.308461 2
114 461 0.153564 0.008009 0.147901 0.159227 2
115 452 0.150566 0.048051 0.116589 0.184544 2
116 446 0.148568 0.018844 0.135243 0.161892 2
117 443 0.147568 0.018373 0.134577 0.160560 2
118 437 0.145570 0.048522 0.111259 0.179880 2
119 431 0.143571 0.025910 0.125250 0.161892 2
120 423 0.140906 0.017430 0.128581 0.153231 2
121 422 0.140573 0.003769 0.137908 0.143238 2
122 415 0.138241 0.036274 0.112592 0.163891 2
123 414 0.137908 0.008480 0.131912 0.143904 2
124 404 0.134577 0.004711 0.131246 0.137908 2
125 400 0.133245 0.034861 0.108594 0.157895 2
126 395 0.131579 0.006124 0.127249 0.135909 2
127 395 0.131579 0.004240 0.128581 0.134577 2
128 390 0.129913 0.032034 0.107262 0.152565 2
129 304 0.101266 0.057473 0.060626 0.141905 2
130 282 0.093937 0.015075 0.083278 0.104597 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] 0.001009 0.000001 0.000000 0.003035 0.000686 1.000 2
length{all}[2] 0.002763 0.000003 0.000129 0.006237 0.002366 1.000 2
length{all}[3] 0.000901 0.000001 0.000001 0.002758 0.000613 1.000 2
length{all}[4] 0.000895 0.000001 0.000000 0.002758 0.000607 1.003 2
length{all}[5] 0.000888 0.000001 0.000000 0.002765 0.000580 1.000 2
length{all}[6] 0.000977 0.000001 0.000000 0.003093 0.000667 1.004 2
length{all}[7] 0.000935 0.000001 0.000001 0.002826 0.000621 1.000 2
length{all}[8] 0.001166 0.000001 0.000001 0.003461 0.000871 1.000 2
length{all}[9] 0.000988 0.000001 0.000001 0.002952 0.000717 1.006 2
length{all}[10] 0.000966 0.000001 0.000000 0.002871 0.000654 1.002 2
length{all}[11] 0.001750 0.000002 0.000011 0.004279 0.001460 1.005 2
length{all}[12] 0.000960 0.000001 0.000000 0.002887 0.000691 1.001 2
length{all}[13] 0.001947 0.000002 0.000021 0.004743 0.001580 1.000 2
length{all}[14] 0.000939 0.000001 0.000001 0.002931 0.000624 1.000 2
length{all}[15] 0.000926 0.000001 0.000000 0.002939 0.000617 1.001 2
length{all}[16] 0.000948 0.000001 0.000000 0.002927 0.000640 1.001 2
length{all}[17] 0.001890 0.000002 0.000053 0.004379 0.001631 1.001 2
length{all}[18] 0.001922 0.000002 0.000010 0.004768 0.001522 1.000 2
length{all}[19] 0.000896 0.000001 0.000000 0.002713 0.000623 1.000 2
length{all}[20] 0.002950 0.000003 0.000226 0.006615 0.002496 1.000 2
length{all}[21] 0.001890 0.000002 0.000063 0.004508 0.001550 1.000 2
length{all}[22] 0.000945 0.000001 0.000000 0.002800 0.000647 1.008 2
length{all}[23] 0.000969 0.000001 0.000000 0.002839 0.000672 1.000 2
length{all}[24] 0.000969 0.000001 0.000002 0.002857 0.000693 1.001 2
length{all}[25] 0.000966 0.000001 0.000000 0.003017 0.000658 1.004 2
length{all}[26] 0.000899 0.000001 0.000000 0.002883 0.000610 1.000 2
length{all}[27] 0.001753 0.000002 0.000028 0.004120 0.001450 1.000 2
length{all}[28] 0.001914 0.000002 0.000021 0.004571 0.001583 1.002 2
length{all}[29] 0.000927 0.000001 0.000000 0.002822 0.000638 1.000 2
length{all}[30] 0.000965 0.000001 0.000000 0.002871 0.000666 1.000 2
length{all}[31] 0.000908 0.000001 0.000000 0.002674 0.000643 1.002 2
length{all}[32] 0.000937 0.000001 0.000002 0.002837 0.000648 1.001 2
length{all}[33] 0.000947 0.000001 0.000002 0.002792 0.000670 1.000 2
length{all}[34] 0.000916 0.000001 0.000000 0.002842 0.000601 1.000 2
length{all}[35] 0.000957 0.000001 0.000000 0.002978 0.000647 1.000 2
length{all}[36] 0.001023 0.000001 0.000002 0.003113 0.000690 1.001 2
length{all}[37] 0.000871 0.000001 0.000000 0.002637 0.000596 1.000 2
length{all}[38] 0.000953 0.000001 0.000001 0.002955 0.000648 1.000 2
length{all}[39] 0.000905 0.000001 0.000000 0.002838 0.000622 1.003 2
length{all}[40] 0.000924 0.000001 0.000000 0.002774 0.000619 1.000 2
length{all}[41] 0.000945 0.000001 0.000000 0.002867 0.000657 1.001 2
length{all}[42] 0.000972 0.000001 0.000000 0.002989 0.000667 1.001 2
length{all}[43] 0.000923 0.000001 0.000001 0.002875 0.000600 1.000 2
length{all}[44] 0.000999 0.000001 0.000001 0.002879 0.000703 1.000 2
length{all}[45] 0.000896 0.000001 0.000000 0.002665 0.000643 1.000 2
length{all}[46] 0.001905 0.000002 0.000051 0.004680 0.001553 1.003 2
length{all}[47] 0.000894 0.000001 0.000002 0.002754 0.000629 1.000 2
length{all}[48] 0.001109 0.000001 0.000003 0.003444 0.000756 1.001 2
length{all}[49] 0.000941 0.000001 0.000001 0.002828 0.000654 1.002 2
length{all}[50] 0.000985 0.000001 0.000001 0.003021 0.000672 1.003 2
length{all}[51] 0.000894 0.000001 0.000000 0.002680 0.000618 1.001 2
length{all}[52] 0.001934 0.000002 0.000085 0.004577 0.001662 1.004 2
length{all}[53] 0.000995 0.000001 0.000001 0.003198 0.000612 1.000 2
length{all}[54] 0.000989 0.000001 0.000000 0.002938 0.000693 1.006 2
length{all}[55] 0.000988 0.000001 0.000001 0.003019 0.000664 1.000 2
length{all}[56] 0.000896 0.000001 0.000001 0.002807 0.000585 1.000 2
length{all}[57] 0.000936 0.000001 0.000000 0.002858 0.000669 1.000 2
length{all}[58] 0.000879 0.000001 0.000001 0.002712 0.000613 1.000 2
length{all}[59] 0.001932 0.000002 0.000006 0.004671 0.001523 1.000 2
length{all}[60] 0.000974 0.000001 0.000000 0.002954 0.000649 1.000 2
length{all}[61] 0.000931 0.000001 0.000001 0.002801 0.000630 1.000 2
length{all}[62] 0.000964 0.000001 0.000000 0.002911 0.000636 1.000 2
length{all}[63] 0.000945 0.000001 0.000002 0.002878 0.000636 1.000 2
length{all}[64] 0.000938 0.000001 0.000000 0.002871 0.000637 1.000 2
length{all}[65] 0.000966 0.000001 0.000001 0.002938 0.000649 1.000 2
length{all}[66] 0.002755 0.000003 0.000245 0.006035 0.002455 1.001 2
length{all}[67] 0.002849 0.000003 0.000311 0.006573 0.002460 1.013 2
length{all}[68] 0.000899 0.000001 0.000000 0.002879 0.000599 1.004 2
length{all}[69] 0.000932 0.000001 0.000001 0.002874 0.000643 1.001 2
length{all}[70] 0.000984 0.000001 0.000001 0.003058 0.000671 1.009 2
length{all}[71] 0.000960 0.000001 0.000000 0.002934 0.000641 1.001 2
length{all}[72] 0.000977 0.000001 0.000000 0.003096 0.000618 1.000 2
length{all}[73] 0.001008 0.000001 0.000001 0.003153 0.000644 1.000 2
length{all}[74] 0.000932 0.000001 0.000000 0.002788 0.000666 1.000 2
length{all}[75] 0.001806 0.000002 0.000085 0.004461 0.001440 1.002 2
length{all}[76] 0.000973 0.000001 0.000001 0.002956 0.000665 1.000 2
length{all}[77] 0.000963 0.000001 0.000000 0.002858 0.000638 1.001 2
length{all}[78] 0.000921 0.000001 0.000001 0.002790 0.000644 1.000 2
length{all}[79] 0.000942 0.000001 0.000000 0.002801 0.000660 1.002 2
length{all}[80] 0.000985 0.000001 0.000001 0.002864 0.000657 1.000 2
length{all}[81] 0.001917 0.000002 0.000021 0.004810 0.001563 1.000 2
length{all}[82] 0.001008 0.000001 0.000002 0.003013 0.000692 1.002 2
length{all}[83] 0.000907 0.000001 0.000000 0.002731 0.000597 1.001 2
length{all}[84] 0.002909 0.000003 0.000191 0.006490 0.002495 1.000 2
length{all}[85] 0.001849 0.000002 0.000041 0.004699 0.001507 1.004 2
length{all}[86] 0.000921 0.000001 0.000001 0.002782 0.000633 1.000 2
length{all}[87] 0.002796 0.000003 0.000339 0.006045 0.002487 1.001 2
length{all}[88] 0.001877 0.000002 0.000042 0.004572 0.001537 1.001 2
length{all}[89] 0.000981 0.000001 0.000000 0.002870 0.000713 1.000 2
length{all}[90] 0.000957 0.000001 0.000001 0.002915 0.000647 1.003 2
length{all}[91] 0.002850 0.000003 0.000249 0.006228 0.002439 1.002 2
length{all}[92] 0.003882 0.000004 0.000630 0.008031 0.003459 1.000 2
length{all}[93] 0.004545 0.000005 0.000921 0.009094 0.004175 1.009 2
length{all}[94] 0.002182 0.000002 0.000027 0.005340 0.001825 1.003 2
length{all}[95] 0.001836 0.000002 0.000037 0.004494 0.001501 1.000 2
length{all}[96] 0.001804 0.000002 0.000045 0.004504 0.001425 1.000 2
length{all}[97] 0.002894 0.000003 0.000173 0.006064 0.002578 1.000 2
length{all}[98] 0.001908 0.000002 0.000010 0.004660 0.001581 1.001 2
length{all}[99] 0.002241 0.000002 0.000016 0.005216 0.001923 1.001 2
length{all}[100] 0.001992 0.000002 0.000071 0.004829 0.001676 1.000 2
length{all}[101] 0.001891 0.000002 0.000063 0.004624 0.001589 1.001 2
length{all}[102] 0.001898 0.000002 0.000035 0.004639 0.001540 1.000 2
length{all}[103] 0.001812 0.000002 0.000031 0.004294 0.001496 1.000 2
length{all}[104] 0.001862 0.000002 0.000063 0.004860 0.001460 1.002 2
length{all}[105] 0.001056 0.000001 0.000000 0.003215 0.000711 1.000 2
length{all}[106] 0.000937 0.000001 0.000001 0.003018 0.000654 1.001 2
length{all}[107] 0.000954 0.000001 0.000000 0.003030 0.000643 1.001 2
length{all}[108] 0.000884 0.000001 0.000000 0.002555 0.000632 1.001 2
length{all}[109] 0.000952 0.000001 0.000001 0.002902 0.000631 1.001 2
length{all}[110] 0.000971 0.000001 0.000002 0.002859 0.000663 0.999 2
length{all}[111] 0.000920 0.000001 0.000001 0.002853 0.000631 0.999 2
length{all}[112] 0.000901 0.000001 0.000002 0.002884 0.000615 0.999 2
length{all}[113] 0.000910 0.000001 0.000000 0.002701 0.000603 0.999 2
length{all}[114] 0.000856 0.000001 0.000002 0.002720 0.000580 0.998 2
length{all}[115] 0.001389 0.000002 0.000006 0.004240 0.000981 1.012 2
length{all}[116] 0.000989 0.000001 0.000001 0.002972 0.000694 1.001 2
length{all}[117] 0.000926 0.000001 0.000005 0.003150 0.000633 0.998 2
length{all}[118] 0.000996 0.000001 0.000007 0.003421 0.000629 1.000 2
length{all}[119] 0.000882 0.000001 0.000001 0.002758 0.000524 0.998 2
length{all}[120] 0.001005 0.000001 0.000001 0.002716 0.000732 1.001 2
length{all}[121] 0.000911 0.000001 0.000002 0.002836 0.000640 1.013 2
length{all}[122] 0.001001 0.000001 0.000001 0.003377 0.000665 1.041 2
length{all}[123] 0.001067 0.000001 0.000000 0.003149 0.000718 1.003 2
length{all}[124] 0.000959 0.000001 0.000002 0.003300 0.000641 0.999 2
length{all}[125] 0.000939 0.000001 0.000004 0.002922 0.000632 0.999 2
length{all}[126] 0.000885 0.000001 0.000003 0.002437 0.000646 0.997 2
length{all}[127] 0.001025 0.000001 0.000007 0.003002 0.000721 1.006 2
length{all}[128] 0.001034 0.000001 0.000005 0.002994 0.000718 1.005 2
length{all}[129] 0.001004 0.000001 0.000002 0.002757 0.000729 0.998 2
length{all}[130] 0.000945 0.000001 0.000010 0.002910 0.000564 0.999 2
--------------------------------------------------------------------------------------------
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge. NA is reported when
deviation of parameter values within all runs is 0 or when a parameter
value (a branch length, for instance) is not sampled in all runs.
Summary statistics for partitions with frequency >= 0.10 in at least one run:
Average standard deviation of split frequencies = 0.015899
Maximum standard deviation of split frequencies = 0.081970
Average PSRF for parameter values (excluding NA and >10.0) = 1.002
Maximum PSRF for parameter values = 1.041
Clade credibility values:
/--------------------------------------------------------------------- C308 (1)
|
|--------------------------------------------------------------------- C573 (57)
|
|--------------------------------------------------------------------- C307 (79)
|
| /--------------------- C65 (2)
| |
| | /-------------- C274 (20)
| /--98--+ |
| | | | /------- C22 (32)
| | \--95--+--100-+
| | | \------- C454 (83)
| | |
| /--96-+ \-------------- C351 (35)
| | |
| | | /------- C188 (11)
| | | |
| /--96--+ \---------100--------+------- C216 (28)
| | | |
| | | \------- C222 (42)
| | |
| | \---------------------------------- C60 (45)
| |
| |----------------------------------------- C146 (10)
| |
| |----------------------------------------- C166 (14)
| |
| /--99--+----------------------------------------- C167 (16)
| | |
| | |----------------------------------------- C338 (18)
| | |
| | |----------------------------------------- C162 (38)
| | |
| | |----------------------------------------- C271 (59)
| | |
| | |----------------------------------------- C131 (74)
| | |
| | \----------------------------------------- C674 (84)
| |
| |------------------------------------------------ C135 (4)
| |
| |------------------------------------------------ C132 (5)
| /--83--+
| | |------------------------------------------------ C190 (21)
| | |
| | |------------------------------------------------ C658 (56)
| | |
| | |------------------------------------------------ C119 (61)
| | |
| | |------------------------------------------------ C346 (64)
| | |
| | |------------------------------------------------ C380 (66)
| | |
| | |------------------------------------------------ C137 (81)
| | |
| | |------------------------------------------------ C319 (85)
| | |
| | \------------------------------------------------ C141 (88)
| |
| |------------------------------------------------------- C199 (3)
| |
| | /------- C176 (6)
| | |
| | |------- C181 (9)
| | |
| |-----------------------83----------------------+------- C337 (24)
| | |
| | |------- C334 (70)
| | |
| | \------- C333 (90)
| |
+ |------------------------------------------------------- C325 (7)
| |
| |------------------------------------------------------- C210 (12)
| |
| |------------------------------------------------------- C331 (13)
| |
| |------------------------------------------------------- C229 (15)
| |
| |------------------------------------------------------- C192 (17)
| |
| |------------------------------------------------------- C531 (19)
| |
| |------------------------------------------------------- C203 (22)
| |
| |------------------------------------------------------- C505 (23)
| |
| |------------------------------------------------------- C510 (25)
| |
| |------------------------------------------------------- C574 (26)
| |
| |------------------------------------------------------- C2 (27)
| |
| |------------------------------------------------------- C343 (29)
| |
| |------------------------------------------------------- C369 (30)
| |
| |------------------------------------------------------- C108 (31)
| |
| |------------------------------------------------------- C226 (33)
| |
| |------------------------------------------------------- C571 (34)
| |
| | /------- C93 (36)
| |-----------------------87----------------------+
| | \------- C107 (48)
| |
| |------------------------------------------------------- C495 (37)
| |
| /--69--+ /------- C253 (39)
| | |-----------------------99----------------------+
| | | \------- C284 (75)
| | |
| | |------------------------------------------------------- C238 (40)
| | |
| | |------------------------------------------------------- C357 (41)
| | |
| | |------------------------------------------------------- C465 (43)
| | |
| | |------------------------------------------------------- C27 (44)
| | |
| | |------------------------------------------------------- C247 (46)
| | |
| | |------------------------------------------------------- C362 (47)
| | |
| | |------------------------------------------------------- C354 (49)
| | |
| | |------------------------------------------------------- C519 (50)
| | |
| | |------------------------------------------------------- C298 (51)
| | |
| | |------------------------------------------------------- C259 (52)
| | |
| | |------------------------------------------------------- C368 (53)
| | |
| | |------------------------------------------------------- C113 (54)
| | |
| | |------------------------------------------------------- C486 (55)
| | |
| | |------------------------------------------------------- C322 (58)
| | |
| | |------------------------------------------------------- C374 (60)
| | |
\--99--+ |------------------------------------------------------- C618 (62)
| |
| |------------------------------------------------------- C627 (63)
| |
| |------------------------------------------------------- C283 (65)
| |
| |------------------------------------------------------- C252 (67)
| |
| |------------------------------------------------------- C125 (68)
| |
| |------------------------------------------------------- C18 (69)
| |
| |------------------------------------------------------- C626 (71)
| |
| |------------------------------------------------------- C295 (72)
| |
| |------------------------------------------------------- C386 (73)
| |
| |------------------------------------------------------- C394 (76)
| |
| |------------------------------------------------------- C650 (77)
| |
| |------------------------------------------------------- C521 (78)
| |
| | /------- C392 (80)
| |----------------------100----------------------+
| | \------- C398 (86)
| |
| |------------------------------------------------------- C422 (82)
| |
| |------------------------------------------------------- C143 (87)
| |
| \------------------------------------------------------- C575 (89)
|
\-------------------------------------------------------------- C312 (8)
Phylogram (based on average branch lengths):
/--- C308 (1)
|
|--- C573 (57)
|
|--- C307 (79)
|
| /--------- C65 (2)
| |
| | /---------- C274 (20)
| /----------+ |
| | | | /-- C22 (32)
| | \------+---------+
| | | \-- C454 (83)
| | |
| /------+ \-- C351 (35)
| | |
| | | /------ C188 (11)
| | | |
| /------+ \----------------+------- C216 (28)
| | | |
| | | \--- C222 (42)
| | |
| | \-- C60 (45)
| |
| |--- C146 (10)
| |
| |--- C166 (14)
| |
| /-----+--- C167 (16)
| | |
| | |------ C338 (18)
| | |
| | |--- C162 (38)
| | |
| | |------ C271 (59)
| | |
| | |--- C131 (74)
| | |
| | \---------- C674 (84)
| |
| |--- C135 (4)
| |
| |--- C132 (5)
| /-----+
| | |------- C190 (21)
| | |
| | |--- C658 (56)
| | |
| | |--- C119 (61)
| | |
| | |--- C346 (64)
| | |
| | |---------- C380 (66)
| | |
| | |------- C137 (81)
| | |
| | |------- C319 (85)
| | |
| | \------- C141 (88)
| |
| |--- C199 (3)
| |
| | /-- C176 (6)
| | |
| | |-- C181 (9)
| | |
| |------+-- C337 (24)
| | |
| | |-- C334 (70)
| | |
| | \-- C333 (90)
| |
+ |--- C325 (7)
| |
| |--- C210 (12)
| |
| |------- C331 (13)
| |
| |--- C229 (15)
| |
| |------- C192 (17)
| |
| |--- C531 (19)
| |
| |--- C203 (22)
| |
| |--- C505 (23)
| |
| |--- C510 (25)
| |
| |--- C574 (26)
| |
| |------ C2 (27)
| |
| |--- C343 (29)
| |
| |--- C369 (30)
| |
| |--- C108 (31)
| |
| |--- C226 (33)
| |
| |--- C571 (34)
| |
| | /--- C93 (36)
| |------+
| | \--- C107 (48)
| |
| |--- C495 (37)
| |
| /-----+ /--- C253 (39)
| | |-----+
| | | \------ C284 (75)
| | |
| | |--- C238 (40)
| | |
| | |--- C357 (41)
| | |
| | |--- C465 (43)
| | |
| | |--- C27 (44)
| | |
| | |------- C247 (46)
| | |
| | |--- C362 (47)
| | |
| | |--- C354 (49)
| | |
| | |--- C519 (50)
| | |
| | |--- C298 (51)
| | |
| | |------- C259 (52)
| | |
| | |--- C368 (53)
| | |
| | |--- C113 (54)
| | |
| | |--- C486 (55)
| | |
| | |--- C322 (58)
| | |
| | |--- C374 (60)
| | |
\------+ |--- C618 (62)
| |
| |--- C627 (63)
| |
| |--- C283 (65)
| |
| |---------- C252 (67)
| |
| |--- C125 (68)
| |
| |--- C18 (69)
| |
| |--- C626 (71)
| |
| |--- C295 (72)
| |
| |--- C386 (73)
| |
| |--- C394 (76)
| |
| |--- C650 (77)
| |
| |--- C521 (78)
| |
| | /--- C392 (80)
| |-------------+
| | \--- C398 (86)
| |
| |--- C422 (82)
| |
| |---------- C143 (87)
| |
| \--- C575 (89)
|
\---- C312 (8)
|-------------------| 0.005 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: `(C308,C573,C307,(((((((C65,(C274,(C22,C454),C351)),(C188,C216,C222)),C60),C146,C166,C167,C338,C162,C271,C131,C674),C135,C132,C190,C658,C119,C346,C380,C137,C319,C141),C199,(C176,C181,C337,C334,C333),C325,C210,C331,C229,C192,C531,C203,C505,C510,C574,C2,C343,C369,C108,C226,C571,(C93,C107),C495,(C253,C284),C238,C357,C465,C27,C247,C362,C354,C519,C298,C259,C368,C113,C486,C322,C374,C618,C627,C283,C252,C125,C18,C626,C295,C386,C394,C650,C521,(C392,C398),C422,C143,C575),C312))`
>Would you like to use it (y/n)?
>Loaded a multiple sequence alignment with **90** sequences, **76** codons, and **1** partitions from `/data//pss_subsets/LZW_E_AIJ01343_1_2012_02_China_Unknown_PEDV.result/original_alignment/fubar/results/LZW_E_AIJ01343_1_2012_02_China_Unknown_PEDV.result.1/LZW_E_AIJ01343_1_2012_02_China_Unknown_PEDV.result.1.fna`
> FUBAR will write cache and result files to _/data//pss_subsets/LZW_E_AIJ01343_1_2012_02_China_Unknown_PEDV.result/original_alignment/fubar/results/LZW_E_AIJ01343_1_2012_02_China_Unknown_PEDV.result.1/LZW_E_AIJ01343_1_2012_02_China_Unknown_PEDV.result.1.fna.FUBAR.cache_ and _/data//pss_subsets/LZW_E_AIJ01343_1_2012_02_China_Unknown_PEDV.result/original_alignment/fubar/results/LZW_E_AIJ01343_1_2012_02_China_Unknown_PEDV.result.1/LZW_E_AIJ01343_1_2012_02_China_Unknown_PEDV.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) = -604.89, AIC-c = 1435.02 (112 estimated parameters)
* Tree length (expected substitutions/site) for partition 1 : 0.207
### 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 = 1.227
* non-synonymous rate = 0.786
* Computing conditional site likelihoods on a 20 x 20 rate grid
### Running an iterative zeroth order variational Bayes procedure to estimate the posterior mean of rate weights
* Using the following settings
* Dirichlet alpha : 0.5
### Tabulating site-level results
----
## FUBAR inferred no sites under subject to positive selection at posterior probability >= 0.9
CLUSTAL FORMAT for T-COFFEE Version_12.00.7fb08c2 [http://www.tcoffee.org] [MODE: ], CPU=0.14 sec, SCORE=1000, Nseq=90, Len=76
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV08 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV10 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
85_7_E_AST13217_1_2013_05_China_Swine_PEDV05 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
85_7_E_AST13217_1_2013_05_China_Swine_PEDV71 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
85_7_A40_E_AST13134_1_2015_09_China_Unknown_PEDV0 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
85_7_A40_E_AST13134_1_2015_09_China_Unknown_PEDV58 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV52 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
85_7_E_AST13217_1_2013_05_China_Swine_PEDV21 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
85_7_E_AST13217_1_2013_05_China_Swine_PEDV75 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
85_7_A40_E_AST13134_1_2015_09_China_Unknown_PEDV5 MLQLVNDNGLVVNVILWLFVLFFLLIISITFIQLVNLCFTCHRLCNSAVY
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV99 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV35 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV32 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV76 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV25 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV12 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV81 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV46 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV88 MLQLVNDNGLAVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV31 MLQLVNDNGLVINVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV66 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV29 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV67 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV92 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV38 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
85_7_E_AST13217_1_2013_05_China_Swine_PEDV31 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV74 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV90 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV03 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV37 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
85_7_E_AST13217_1_2013_05_China_Swine_PEDV10 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
85_7_E_AST13217_1_2013_05_China_Swine_PEDV74 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV16 MLQSVNDNGLAVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV43 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV69 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV08 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV2 MLQLVNDNGLV-NVILWLFVLFFLLIISITFVQLFNLCFTCHRLCNSAVY
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV26 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV51 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
85_7_mutant2_E_AST13229_1_2015_09_China_Unknown_PEDV3 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3c_NA_QNL15263_1_2017_01_China_Swine_PEDV95 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV62 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV53 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV38 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV57 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV22 MLQLVNDNGLAVNVILWLFVLF-------TFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3c_NA_QNL15263_1_2017_01_China_Swine_PEDV65 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV7 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV47 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV62 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV07 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV54 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
85_7_E_AST13217_1_2013_05_China_Swine_PEDV19 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV98 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV59 MLQLVNDNGLVVNVILWLFVLFCLLIISITFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV68 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV13 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3c_NA_QNL15263_1_2017_01_China_Swine_PEDV86 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
85_7_E_AST13217_1_2013_05_China_Swine_PEDV73 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV22 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV71 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV74 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV19 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
85_7_A40_E_AST13134_1_2015_09_China_Unknown_PEDV18 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
85_7_A40_E_AST13134_1_2015_09_China_Unknown_PEDV27 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV46 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV83 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV80 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV25 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV8 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV34 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
85_7_A40_E_AST13134_1_2015_09_China_Unknown_PEDV26 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV95 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV86 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV31 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV84 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV94 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
85_7_A40_E_AST13134_1_2015_09_China_Unknown_PEDV50 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV07 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV92 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSIVY
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV37 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCYRLCNSAVY
17GXCZ_1ORF3c_NA_QNL15263_1_2017_01_China_Swine_PEDV22 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3c_NA_QNL15263_1_2017_01_China_Swine_PEDV54 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLFNLCFTCHRLCNSAVY
85_7_A40_E_AST13134_1_2015_09_China_Unknown_PEDV74 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV19 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV98 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSIVY
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV43 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV41 MLQLVNDSGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV33 MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY
*** ***.**. ********** **:**.******:***** **
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV08 TPIGRLYRVYKSYMQIDPLLSTVIDV
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV10 TPIGRLYRVYKSYMQIDPLPSTVIDV
85_7_E_AST13217_1_2013_05_China_Swine_PEDV05 TPIGRLYRVYKSYMQIDPLPSTVIDV
85_7_E_AST13217_1_2013_05_China_Swine_PEDV71 TPIGRLYRVYKSYMQIDPLPSTVIDV
85_7_A40_E_AST13134_1_2015_09_China_Unknown_PEDV0 TPIGRLYRVYKSYMRIDPLPSTVIDV
85_7_A40_E_AST13134_1_2015_09_China_Unknown_PEDV58 TPIGRLYRVYKSYMQIDPLPSTVIDV
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV52 IPIGRLYRVYKSYMQIDPLPSTVIDV
85_7_E_AST13217_1_2013_05_China_Swine_PEDV21 TPIGRLYRVYKSYMQIDPLPSTVIDV
85_7_E_AST13217_1_2013_05_China_Swine_PEDV75 TPIGRLYRVYKSYMQIDPLPSTVIDV
85_7_A40_E_AST13134_1_2015_09_China_Unknown_PEDV5 TPIGRLYRVYKSYMRIDPLPSTVIDV
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV99 TPIGRLYRVYKSYMQIDPLPSTVIDV
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV35 TPIGRLYRVYKSYMQIDPLPSTVIDV
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV32 TPIGRLYRVYKSYMQIDPLPSTVIDV
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV76 TPIGRLYRVYKSYMQIDPLPSTVIDV
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV25 TPIGRLYRVYKSYMQIDPLPSTVIDV
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV12 TPIGRLYRVYKSYMQIDPLLSTVIDV
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV81 TPIGRLYRVYKSYMQIDPLPSTVIDV
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV46 TPIGRLYRVYKSYMQIDPLPSTVIDV
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV88 TPIGRLYRVYKSYMRIDPLPSTVIDI
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV31 TPIGRLYRVYKSYMQIDPLPSTVIDV
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV66 TPIGRLYRVYKSYMQIDPLPSTVIDV
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV29 TPIGRLYRVYKSYMQIDPLPSTVIDV
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV67 TPIGRLYRVYKSYMQIDPLPSTVIDV
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV92 TPIGRLYRVYKSYMQIDPLPSTVIDV
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV38 TPIGRLYRVYKSYMQIDPLPSTVIDV
85_7_E_AST13217_1_2013_05_China_Swine_PEDV31 TPIGRLYRVYKSYMQIDPLPSTVIDV
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV74 TPIGRLYRVYKSYMRIERLPSTVIDV
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV90 TPIGRLYRVYKSYMQIDPLPSTVIDV
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV03 TPIGRLYRVYKSYMQIDPLPSTVIDV
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV37 TPIGRLYRVYKSYMQIDPLPSTVIDV
85_7_E_AST13217_1_2013_05_China_Swine_PEDV10 TPIGRLYRVYKSYMQIDPLPSTVIDV
85_7_E_AST13217_1_2013_05_China_Swine_PEDV74 TPIGRLYRVYKSYMQIDPLPSTVIDV
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV TPIGRLYRVYKSYMQIDPLPSTVIDV
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV16 TPIGRLYRVYKSYMRIDPLPSTVIDI
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV43 TPIGRLYRVYKSYMQIDPLPSTVIDV
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV69 TPIGRLYRVYKSYMQIDPLPSTVIDV
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV08 TPIGRLYRVYKSYMQIDPLPSTVIDV
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV2 TPIGRLYRVYKSYMRIDPLPSTVIHV
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV26 TPIGRLYRVYKSYMQIDPLPSTVIDV
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV51 TPIGRLYRVYKSYMRIDPLPSTVIDV
85_7_mutant2_E_AST13229_1_2015_09_China_Unknown_PEDV3 TPIGRLYRVYKSYMQIDPLPSTVIDV
17GXCZ_1ORF3c_NA_QNL15263_1_2017_01_China_Swine_PEDV95 TPIGRLYRVYKSYMQIDPLPSTVIDV
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV62 TPIGRLYRVYKSYMQIDPLPSTVIDV
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV53 TPIGRLYRVYKSYLQIDPLPSTVIDV
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV38 TPIGRLYRVYKSYMQIDPLPSTVIDV
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV57 TPIGRLYRVYKSYMQIDPLPSTVIDV
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV22 TPIGRLYRVYKSYMRIDPLPSTVIDI
17GXCZ_1ORF3c_NA_QNL15263_1_2017_01_China_Swine_PEDV65 TPIGRLYRVYKSYMQIDPLPSTVIDV
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV7 TPIGRLYRVYKSYMQIDPLPSTVIDV
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV47 TPIGRLYRVYKSYMQIDPLPSTVIDV
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV62 TPIGRLYRVYKSYMQIDPLPSTVIDV
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV07 TPIGRLYRVYKSYMQIDPLPSTVIDV
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV54 TPIGRLYRVYKSYMQIDPLPSTVIDV
85_7_E_AST13217_1_2013_05_China_Swine_PEDV19 TPIGRLYRVYKSYMQIDPLPSTVIDV
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV98 TPIGRLYRVYKSYMQIDPLPSTVIDV
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV59 TPIGRLYRVYKSYMQIDPLPSTVIDV
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV68 TPIGRLYRVYKSYMQIDPLPSTVIDV
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV13 TPIGRLYRVYKSYMQIDPLPSTVIDV
17GXCZ_1ORF3c_NA_QNL15263_1_2017_01_China_Swine_PEDV86 TPIGRLYRVYKSYMQIDPLPSTVIDV
85_7_E_AST13217_1_2013_05_China_Swine_PEDV73 TPIGRLYRVYKSYMQIDPLLSTVIDV
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV22 TPIGRLYRVYKSYMQIDPLPSTVIDV
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV71 IPIGRLYRVYKSYMQIDPLPSTVIDV
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV74 TPIGRLYRVYKSYMQIDPLPSTVIDV
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV19 TPIGRLYRVYKSYMQIDPLPSTVIDV
85_7_A40_E_AST13134_1_2015_09_China_Unknown_PEDV18 TPIGRLYRVYKSYMQIDPLPSTVIDV
85_7_A40_E_AST13134_1_2015_09_China_Unknown_PEDV27 TPIGRLYRVYKSYMQIDPLPSTVIDV
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV46 TPIGRLYRVYKSYMQIDPLPSTVIDV
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV83 TPIGRLYRVYKSYMQIDPLPSTVIDV
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV80 TPIGRLYRVYKFYMQIDPLPSTVIDV
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV25 TPIGRLYRVYKSYMQIDPLPSTVIDV
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV8 TPIGRLYRVYKSYMQIDPLPSTVIDV
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV34 TPIGRLYRVYKSYMQIDPLPSTVIDV
85_7_A40_E_AST13134_1_2015_09_China_Unknown_PEDV26 TPIGRLYRVYKSYMQIDPLPSTVIDV
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV95 TPIGRLYRVYKSYMQIDPLPSTVIDV
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV86 TPIGRLYRVYKSYMQIDPLPSTVIDV
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV31 TPIGRLYRVYKSYMQIDPLPSTVIDV
15V010_BEL_2015_E_AK17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV4874_1_2015_01_Belgium_Swine_PEDV84 TPIGRLYRVYKSYLQIDPLPSTVTDV
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV94 TPIGRLYRVYKSYMQIDPLPSTVIDV
85_7_A40_E_AST13134_1_2015_09_China_Unknown_PEDV50 TPIGRLYRVYKSYMQIDPLPSTVIDV
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV07 TPIGRLYRVYKSYMQIDPLLSTVIDV
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV92 TPIGRLYGVYKSYMQIDPLPSTVIDV
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV37 TPIGRLYRVYKSYMQIDPLPSTVIDV
17GXCZ_1ORF3c_NA_QNL15263_1_2017_01_China_Swine_PEDV22 TPIGRLYRVYKSYMQIDPLPSTVIDV
17GXCZ_1ORF3c_NA_QNL15263_1_2017_01_China_Swine_PEDV54 TPIGRLYRVYKSYMRIDPLPSTVIHV
85_7_A40_E_AST13134_1_2015_09_China_Unknown_PEDV74 TPIGRLYRVYKSYMQIDPLPSTVIDV
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV19 TPIGRLYRVYKSYMQIDPLPSTVIDV
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV98 TPIGRLYGVYKSYMQIDPLPSTVIDV
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV43 TPIGRLYRVYKSYMQIDPFPSTVIDV
13_019349_NA_AGS12451_1_2013_05_29_USA_Swine_PEDV41 TPIGRLYRVYKSYMQIDPLPSTVIDV
17GXCZ_1ORF3d_NA_QNL15257_1_2017_01_China_Swine_PEDV33 TPIGRLYRVYKSYMQIDPLPSTVIDV
****** *** *::*: : *** .:
>PC22A_P120_NA_APX42133_1_2015_10_01_USA_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGTTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCTTAGTACTGTTATTGACGTA >ISU13_22038_IA_homogenate_E_AHA38141_1_2013_06_06_USA_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >USA_Illinois262_2014_NA_AKJ21925_1_2014_03_19_USA_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >USA_Minnesota41_2013_NA_AID56741_1_2013_10_14_USA_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >CH_JLDH_2016_NA_ASO67379_1_2016_07_China_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCGAATTGACCCCCTCCCCAGTACTGTTATTGACGTA >YN1_NA_ALM09360_1_2013_08_02_China_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCCAGTACTGTTATTGACGTA >KNU_1804_E_QBA57547_1_2018_03_South_Korea_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACATACCTATAGGGCGTTTGTATAGGGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >USA_Iowa161_2014_NA_AKJ21979_1_2014_02_17_USA_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >USA_Minnesota58_2013_NA_AID56789_1_2013_11_05_USA_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >CH_S_E_AEQ55006_1_1986_China_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTTCTGCTTATTATAAGCATTACCTTCATCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGCCTGTATAGAGTTTATAAGTCTTACATGCGAATTGACCCCCTCCCCAGTACTGTTATTGACGTA >IBR_3_JPN_2014_E_BAT33301_1_2014_04_Japan_Pig_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >GDS20_E_QCQ19806_1_2012_06_22_China_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCCAGTACTGTTATTGACGTA >GDS17_E_QCQ19812_1_2012_12_13_China_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCCAGTACTGTTATTGACGTA >GER_L03205_2019_NA_CAC9433161_1_NA_NA_Unknown_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACCTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >PEDV_1522_Segovia_Navas_de_Oro_E_QKV43759_1_2014_09_30_Spain_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >PC22A_P3_NA_APX42109_1_2013_06_01_USA_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCTTAGTACTGTTATTGACGTA >GER_L03208_2019_NA_CAC9433343_1_NA_NA_Unknown_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACCTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >GDS31_E_QCQ19992_1_2015_12_08_China_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATTGACCCCCTCCCCAGTACTGTTATTGACGTA >HLJBY_NA_AKJ85725_1_NA_China_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGCAGTTAATGTCATACTTTGGCTTTTCGTACTCTTTTTTCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCCATAGGGCGCTTGTATAGAGTTTATAAGTCTTACATGCGAATTGACCCCCTCCCCAGTACTGTTATTGACATA >PEDV_1776_Badajoz_Alburquerque_E_QKV43783_1_2016_02_12_Spain_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAATTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >GDS51_E_QCQ20046_1_2017_02_24_China_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATTGACCCCCTCCCCAGTACTGTTATTGACGTA >KGS_1_JPN_2013_E_BAT33139_1_2013_12_Japan_Pig_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >GDS53_E_QCQ20052_1_2017_12_17_China_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATTGACCCCCTCCCCAGTACTGTTATTGACGTA >HUN_5031_2016_E_ASB30083_1_2016_03_01_Hungary_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTTCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >PEDV_7C_E_AJP67404_1_2011_06_China_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGTATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATTGACCCCCTCCCCAGTACTGTTATTGACGTA >USA_Iowa_18984_2013_NA_AHA38162_1_2013_05_16_USA_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >LZC_sM_ABM64778_1_NA_China_Unknown_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACCTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTATACACCTATAGGGCGCCTGTATAGAGTTTATAAGTCTTACATGCGAATTGAGCGCCTCCCCAGTACTGTTATTGACGTA >HUA_14PED96_NA_ALR74759_1_2014_10_15_Viet_Nam_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTTCCCAGTACTGTTATTGACGTA >IBR_6_JPN_2014_E_BAT33241_1_2014_05_Japan_Pig_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >PEDV_2149_Castellon_Albocacer_E_QKV43831_1_2018_03_02_Spain_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACCTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >USA_Illinois81_2013_NA_AID56909_1_2013_12_03_USA_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >USA_Minnesota52_2013_NA_AID57083_1_2013_06_26_USA_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >15V010_BEL_2015_E_AKC34874_1_2015_01_Belgium_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGGTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >JS2008_NA_AGG55747_1_2008_China_Swine_PEDV ATGCTACAATCAGTGAATGATAATGGTCTAGCAGTTAATGTCATACTTTGGCTTTTCGTACTCTTTTTTCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGCTTGTATAGAGTTTATAAGTCTTACATGCGAATTGACCCCCTCCCCAGTACTGTTATTGACATA >PEDV_AUSTRIA_L01065_M10_15_04_2015_E_SNQ27934_1_NA_NA_Unknown_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >PEDV_GER_L01015_K01_15_05_2015_E_SNQ28059_1_NA_NA_Unknown_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >CO_P14_IC_E_ANY27039_1_2013_05_29_USA_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >AVCT12_M_BAR73379_1_2010_01_Thailand_Unknown_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTA---AATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACCTTCGTCCAATTGTTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTATACACCTATAGGGCGCCTGTATAGAGTTTATAAGTCTTACATGCGAATTGACCCCCTCCCCAGTACTGTTATTCACGTA >K14JB01_NA_AHY04231_1_2014_South_Korea_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >PEDV_GER_L00901_V215_1978_NA_SNC44847_1_NA_NA_Unknown_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACCTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTATACACCTATAGGGCGCCTGTATAGAGTTTATAAGTCTTACATGCGAATTGACCCCCTCCCCAGTACTGTTATTGACGTA >COL_Antioquia14856_2015_NA_QGQ60332_1_2015_10_21_Colombia_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCTTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >USA_IL_2013_59573_5_E_AKP80626_1_2013_12_31_USA_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >GDS46_E_QCQ20040_1_2016_05_06_China_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATTGACCCCCTCCCCAGTACTGTTATTGACGTA >KNU_1710_E_AWM11500_1_2017_04_South_Korea_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACTTGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >KNU_141112_P10_E_AKS50246_1_2014_11_South_Korea_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >PEDV_GER_L00927_K20_14_02_2014_E_SNQ27987_1_NA_NA_Unknown_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >JSLS_1_2015_E_AOM53010_1_2015_01_25_China_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGCAGTTAATGTCATACTTTGGCTTTTCGTACTCTTT---------------------ACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGCTTGTATAGAGTTTATAAGTCTTACATGCGAATTGACCCCCTCCCCAGTACTGTTATTGACATA >TC_PC180_P2_NA_AIN52126_1_2013_12_USA_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >Aram_feces_E_QDY92471_1_2014_South_Korea_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >KNU_1704_E_AWM11470_1_2017_11_South_Korea_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATCATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >PEDV_GER_L00933_K22_14_05_2014_E_SNQ28066_1_NA_NA_Unknown_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >COL_ValledelCauca_2015_NA_QGQ60296_1_2017_07_01_Colombia_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCTTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >PEDV_GER_L00908_K16_14_03_2014_E_SNQ27963_1_NA_NA_Unknown_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >USA_Iowa103_2013_NA_AID57023_1_2013_12_15_USA_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >OH9097_14_E_ALM31946_1_2014_10_19_USA_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >KNU_1816_E_QBO24659_1_2018_04_South_Korea_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTGCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >PEDV_GER_L01013_K01_15_03_2015_E_SNQ27889_1_NA_NA_Unknown_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >FKO_1_JPN_2014_E_BAT33121_1_2014_03_Japan_Pig_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >USA_Colorado30_2013_NA_AID56687_1_2013_07_22_USA_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >USA_Minnesota409_2014_NA_AKJ22189_1_2014_08_28_USA_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGTTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCTTAGTACTGTTATTGACGTA >PEDV_1456_Zaragoza_Egea_de_los_Caballeros_E_QKV43735_1_2014_04_29_Spain_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >LW_L_E_QBM00063_1_2010_02_China_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACATACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATTGACCCCCTCCCCAGTACTGTTATTGACGTA >PEDV_GER_L01059_K07_15_01_2015_E_SNQ28040_1_NA_NA_Unknown_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >GDS05_E_QCQ19800_1_2012_02_08_China_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCCAGTACTGTTATTGACGTA >USA_OK10240_8_2017_E_AVI57405_1_2017_02_07_USA_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >USA_Ohio68_2013_NA_AID56843_1_2013_11_24_USA_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >PEDV_CHZ_E_AJP67434_1_2013_03_China_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCCAGTACTGTTATTGACGTA >MYG_1_JPN_2014_E_BAT33283_1_2014_07_Japan_Pig_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >PEDV_Hjms_E_ATG31096_1_2015_05_11_China_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGTCGTTTGTATAGAGTTTATAAGTTTTACATGCAAATAGACCCCCTCCCCAGTACTGTTATTGACGTA >GDS10_E_AWV57050_1_2013_01_16_China_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >AOM_1_JPN_2014_E_BAT33115_1_2014_02_Japan_Pig_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >PEDV_1931_1_Valladolid_Molpeceres_E_QKV43801_1_2017_01_19_Spain_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACCTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >USA_Ohio69_2013_NA_AID56849_1_2013_11_24_USA_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >OH851_NA_AHL38186_1_2014_01_15_USA_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >PEDV_MEX_GTO_02_2016_NA_AVU05342_1_2016_07_19_Mexico_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >GDS15_E_QCQ19974_1_2012_07_15_China_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATTGACCCCCTCCCCAGTACTGTTATTGACGTA >NB1_NA_AWA45276_1_2017_02_21_South_Korea_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACTTGCAAATAGACCCCCTCCCTAGTACTGTTACTGACGTA >PEDV_MEX_JAL_04_2017_NA_AVU05391_1_2017_02_20_Mexico_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >Ukraine_Poltava01_2014_NA_ALJ52506_1_2014_11_22_Ukraine_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >PC22A_P100_C6_NA_APX42127_1_2015_06_01_USA_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGTTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCTTAGTACTGTTATTGACGTA >PEDV_MEX_JAL_03_2016_NA_AVU05349_1_2016_12_06_Mexico_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCATAGTTTACACACCTATAGGGCGTTTGTATGGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >GDS22_E_QCQ19836_1_2012_09_23_China_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTTACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCCAGTACTGTTATTGACGTA >PEDV_USA_Minnesota131_2015_E_ANI85808_1_2015_11_04_USA_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >SM98_NA_ADZ76335_1_NA_NA_Unknown_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACCTTCGTCCAATTGTTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTATACACCTATAGGGCGCCTGTATAGAGTTTATAAGTCTTACATGCGAATTGACCCCCTCCCCAGTACTGTTATTCACGTA >virulent_DR13_NA_AFE85964_1_2009_South_Korea_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTTCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATTGACCCCCTCCCCAGCACTGTTATTGACGTA >PEDV_14_E_AJP67422_1_2011_04_China_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTTGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCCAGTACTGTTATTGACGTA >PEDV_MEX_JAL_19_2017_NA_AVU05356_1_2017_05_10_Mexico_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCATAGTTTACACACCTATAGGGCGTTTGTATGGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA >GDS28_E_QCQ19860_1_2012_12_13_China_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTCATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCTTCCCTAGTACTGTTATTGACGTA >GDS26_E_QCQ19830_1_2012_09_17_China_Swine_PEDV ATGCTACAATTAGTGAATGATAGTGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACTTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCCAGTACTGTTATTGACGTA >PEDV_1931_2_Valladolid_Fompedraza_E_QKV43807_1_2017_01_19_Spain_Swine_PEDV ATGCTACAATTAGTGAATGATAATGGTCTAGTAGTTAATGTTATACTTTGGCTTTTCGTACTCTTTTTCCTGCTTATTATAAGCATTACCTTCGTCCAATTGGTTAATCTGTGCTTCACTTGTCACCGGTTGTGTAATAGCGCAGTTTACACACCTATAGGGCGTTTGTATAGAGTTTATAAGTCTTACATGCAAATAGACCCCCTCCCTAGTACTGTTATTGACGTA
>PC22A_P120_NA_APX42133_1_2015_10_01_USA_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLLSTVIDV >ISU13_22038_IA_homogenate_E_AHA38141_1_2013_06_06_USA_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >USA_Illinois262_2014_NA_AKJ21925_1_2014_03_19_USA_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >USA_Minnesota41_2013_NA_AID56741_1_2013_10_14_USA_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >CH_JLDH_2016_NA_ASO67379_1_2016_07_China_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMRIDPLPSTVIDV >YN1_NA_ALM09360_1_2013_08_02_China_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >KNU_1804_E_QBA57547_1_2018_03_South_Korea_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY IPIGRLYRVYKSYMQIDPLPSTVIDV >USA_Iowa161_2014_NA_AKJ21979_1_2014_02_17_USA_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >USA_Minnesota58_2013_NA_AID56789_1_2013_11_05_USA_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >CH_S_E_AEQ55006_1_1986_China_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFIQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMRIDPLPSTVIDV >IBR_3_JPN_2014_E_BAT33301_1_2014_04_Japan_Pig_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >GDS20_E_QCQ19806_1_2012_06_22_China_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >GDS17_E_QCQ19812_1_2012_12_13_China_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >GER_L03205_2019_NA_CAC9433161_1_NA_NA_Unknown_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >PEDV_1522_Segovia_Navas_de_Oro_E_QKV43759_1_2014_09_30_Spain_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >PC22A_P3_NA_APX42109_1_2013_06_01_USA_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLLSTVIDV >GER_L03208_2019_NA_CAC9433343_1_NA_NA_Unknown_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >GDS31_E_QCQ19992_1_2015_12_08_China_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >HLJBY_NA_AKJ85725_1_NA_China_Swine_PEDV MLQLVNDNGLAVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMRIDPLPSTVIDI >PEDV_1776_Badajoz_Alburquerque_E_QKV43783_1_2016_02_12_Spain_Swine_PEDV MLQLVNDNGLVINVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >GDS51_E_QCQ20046_1_2017_02_24_China_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >KGS_1_JPN_2013_E_BAT33139_1_2013_12_Japan_Pig_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >GDS53_E_QCQ20052_1_2017_12_17_China_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >HUN_5031_2016_E_ASB30083_1_2016_03_01_Hungary_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >PEDV_7C_E_AJP67404_1_2011_06_China_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >USA_Iowa_18984_2013_NA_AHA38162_1_2013_05_16_USA_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >LZC_sM_ABM64778_1_NA_China_Unknown_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMRIERLPSTVIDV >HUA_14PED96_NA_ALR74759_1_2014_10_15_Viet_Nam_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >IBR_6_JPN_2014_E_BAT33241_1_2014_05_Japan_Pig_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >PEDV_2149_Castellon_Albocacer_E_QKV43831_1_2018_03_02_Spain_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >USA_Illinois81_2013_NA_AID56909_1_2013_12_03_USA_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >USA_Minnesota52_2013_NA_AID57083_1_2013_06_26_USA_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >15V010_BEL_2015_E_AKC34874_1_2015_01_Belgium_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >JS2008_NA_AGG55747_1_2008_China_Swine_PEDV MLQSVNDNGLAVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMRIDPLPSTVIDI >PEDV_AUSTRIA_L01065_M10_15_04_2015_E_SNQ27934_1_NA_NA_Unknown_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >PEDV_GER_L01015_K01_15_05_2015_E_SNQ28059_1_NA_NA_Unknown_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >CO_P14_IC_E_ANY27039_1_2013_05_29_USA_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >AVCT12_M_BAR73379_1_2010_01_Thailand_Unknown_PEDV MLQLVNDNGLV-NVILWLFVLFFLLIISITFVQLFNLCFTCHRLCNSAVY TPIGRLYRVYKSYMRIDPLPSTVIHV >K14JB01_NA_AHY04231_1_2014_South_Korea_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >PEDV_GER_L00901_V215_1978_NA_SNC44847_1_NA_NA_Unknown_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMRIDPLPSTVIDV >COL_Antioquia14856_2015_NA_QGQ60332_1_2015_10_21_Colombia_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >USA_IL_2013_59573_5_E_AKP80626_1_2013_12_31_USA_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >GDS46_E_QCQ20040_1_2016_05_06_China_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >KNU_1710_E_AWM11500_1_2017_04_South_Korea_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYLQIDPLPSTVIDV >KNU_141112_P10_E_AKS50246_1_2014_11_South_Korea_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >PEDV_GER_L00927_K20_14_02_2014_E_SNQ27987_1_NA_NA_Unknown_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >JSLS_1_2015_E_AOM53010_1_2015_01_25_China_Swine_PEDV MLQLVNDNGLAVNVILWLFVLF-------TFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMRIDPLPSTVIDI >TC_PC180_P2_NA_AIN52126_1_2013_12_USA_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >Aram_feces_E_QDY92471_1_2014_South_Korea_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >KNU_1704_E_AWM11470_1_2017_11_South_Korea_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >PEDV_GER_L00933_K22_14_05_2014_E_SNQ28066_1_NA_NA_Unknown_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >COL_ValledelCauca_2015_NA_QGQ60296_1_2017_07_01_Colombia_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >PEDV_GER_L00908_K16_14_03_2014_E_SNQ27963_1_NA_NA_Unknown_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >USA_Iowa103_2013_NA_AID57023_1_2013_12_15_USA_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >OH9097_14_E_ALM31946_1_2014_10_19_USA_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >KNU_1816_E_QBO24659_1_2018_04_South_Korea_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFCLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >PEDV_GER_L01013_K01_15_03_2015_E_SNQ27889_1_NA_NA_Unknown_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >FKO_1_JPN_2014_E_BAT33121_1_2014_03_Japan_Pig_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >USA_Colorado30_2013_NA_AID56687_1_2013_07_22_USA_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >USA_Minnesota409_2014_NA_AKJ22189_1_2014_08_28_USA_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLLSTVIDV >PEDV_1456_Zaragoza_Egea_de_los_Caballeros_E_QKV43735_1_2014_04_29_Spain_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >LW_L_E_QBM00063_1_2010_02_China_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY IPIGRLYRVYKSYMQIDPLPSTVIDV >PEDV_GER_L01059_K07_15_01_2015_E_SNQ28040_1_NA_NA_Unknown_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >GDS05_E_QCQ19800_1_2012_02_08_China_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >USA_OK10240_8_2017_E_AVI57405_1_2017_02_07_USA_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >USA_Ohio68_2013_NA_AID56843_1_2013_11_24_USA_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >PEDV_CHZ_E_AJP67434_1_2013_03_China_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >MYG_1_JPN_2014_E_BAT33283_1_2014_07_Japan_Pig_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >PEDV_Hjms_E_ATG31096_1_2015_05_11_China_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKFYMQIDPLPSTVIDV >GDS10_E_AWV57050_1_2013_01_16_China_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >AOM_1_JPN_2014_E_BAT33115_1_2014_02_Japan_Pig_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >PEDV_1931_1_Valladolid_Molpeceres_E_QKV43801_1_2017_01_19_Spain_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >USA_Ohio69_2013_NA_AID56849_1_2013_11_24_USA_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >OH851_NA_AHL38186_1_2014_01_15_USA_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >PEDV_MEX_GTO_02_2016_NA_AVU05342_1_2016_07_19_Mexico_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >GDS15_E_QCQ19974_1_2012_07_15_China_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >NB1_NA_AWA45276_1_2017_02_21_South_Korea_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYLQIDPLPSTVTDV >PEDV_MEX_JAL_04_2017_NA_AVU05391_1_2017_02_20_Mexico_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >Ukraine_Poltava01_2014_NA_ALJ52506_1_2014_11_22_Ukraine_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >PC22A_P100_C6_NA_APX42127_1_2015_06_01_USA_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLLSTVIDV >PEDV_MEX_JAL_03_2016_NA_AVU05349_1_2016_12_06_Mexico_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSIVY TPIGRLYGVYKSYMQIDPLPSTVIDV >GDS22_E_QCQ19836_1_2012_09_23_China_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCYRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >PEDV_USA_Minnesota131_2015_E_ANI85808_1_2015_11_04_USA_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >SM98_NA_ADZ76335_1_NA_NA_Unknown_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLFNLCFTCHRLCNSAVY TPIGRLYRVYKSYMRIDPLPSTVIHV >virulent_DR13_NA_AFE85964_1_2009_South_Korea_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >PEDV_14_E_AJP67422_1_2011_04_China_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >PEDV_MEX_JAL_19_2017_NA_AVU05356_1_2017_05_10_Mexico_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSIVY TPIGRLYGVYKSYMQIDPLPSTVIDV >GDS28_E_QCQ19860_1_2012_12_13_China_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPFPSTVIDV >GDS26_E_QCQ19830_1_2012_09_17_China_Swine_PEDV MLQLVNDSGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV >PEDV_1931_2_Valladolid_Fompedraza_E_QKV43807_1_2017_01_19_Spain_Swine_PEDV MLQLVNDNGLVVNVILWLFVLFFLLIISITFVQLVNLCFTCHRLCNSAVY TPIGRLYRVYKSYMQIDPLPSTVIDV
Reading sequence file /data//pss_subsets/LZW_E_AIJ01343_1_2012_02_China_Unknown_PEDV.result/original_alignment/fubar/fasta/LZW_E_AIJ01343_1_2012_02_China_Unknown_PEDV.result.1
Found 90 sequences of length 228
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 1.2%
Found 21 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 7
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 23 polymorphic sites
**p-Value(s)**
----------
NSS: 5.87e-01 (1000 permutations)
Max Chi^2: 6.88e-01 (1000 permutations)
PHI (Permutation): 2.40e-02 (1000 permutations)
PHI (Normal): 9.71e-03
#NEXUS
[ID: 0320230111]
begin taxa;
dimensions ntax=90;
taxlabels
PC22A_P120_NA_APX42133_1_2015_10_01_USA_Swine_PEDV
CH_S_E_AEQ55006_1_1986_China_Swine_PEDV
IBR_3_JPN_2014_E_BAT33301_1_2014_04_Japan_Pig_PEDV
GDS20_E_QCQ19806_1_2012_06_22_China_Swine_PEDV
GDS17_E_QCQ19812_1_2012_12_13_China_Swine_PEDV
GER_L03205_2019_NA_CAC9433161_1_NA_NA_Unknown_PEDV
PEDV_1522_Segovia_Navas_de_Oro_E_QKV43759_1_2014_09_30_Spain_Swine_PEDV
PC22A_P3_NA_APX42109_1_2013_06_01_USA_Swine_PEDV
GER_L03208_2019_NA_CAC9433343_1_NA_NA_Unknown_PEDV
GDS31_E_QCQ19992_1_2015_12_08_China_Swine_PEDV
HLJBY_NA_AKJ85725_1_NA_China_Swine_PEDV
ISU13_22038_IA_homogenate_E_AHA38141_1_2013_06_06_USA_Swine_PEDV
PEDV_1776_Badajoz_Alburquerque_E_QKV43783_1_2016_02_12_Spain_Swine_PEDV
GDS51_E_QCQ20046_1_2017_02_24_China_Swine_PEDV
KGS_1_JPN_2013_E_BAT33139_1_2013_12_Japan_Pig_PEDV
GDS53_E_QCQ20052_1_2017_12_17_China_Swine_PEDV
HUN_5031_2016_E_ASB30083_1_2016_03_01_Hungary_Swine_PEDV
PEDV_7C_E_AJP67404_1_2011_06_China_Swine_PEDV
USA_Iowa_18984_2013_NA_AHA38162_1_2013_05_16_USA_Swine_PEDV
LZC_sM_ABM64778_1_NA_China_Unknown_PEDV
HUA_14PED96_NA_ALR74759_1_2014_10_15_Viet_Nam_Swine_PEDV
IBR_6_JPN_2014_E_BAT33241_1_2014_05_Japan_Pig_PEDV
USA_Illinois262_2014_NA_AKJ21925_1_2014_03_19_USA_Swine_PEDV
PEDV_2149_Castellon_Albocacer_E_QKV43831_1_2018_03_02_Spain_Swine_PEDV
USA_Illinois81_2013_NA_AID56909_1_2013_12_03_USA_Swine_PEDV
USA_Minnesota52_2013_NA_AID57083_1_2013_06_26_USA_Swine_PEDV
15V010_BEL_2015_E_AKC34874_1_2015_01_Belgium_Swine_PEDV
JS2008_NA_AGG55747_1_2008_China_Swine_PEDV
PEDV_AUSTRIA_L01065_M10_15_04_2015_E_SNQ27934_1_NA_NA_Unknown_PEDV
PEDV_GER_L01015_K01_15_05_2015_E_SNQ28059_1_NA_NA_Unknown_PEDV
CO_P14_IC_E_ANY27039_1_2013_05_29_USA_Swine_PEDV
AVCT12_M_BAR73379_1_2010_01_Thailand_Unknown_PEDV
K14JB01_NA_AHY04231_1_2014_South_Korea_Swine_PEDV
USA_Minnesota41_2013_NA_AID56741_1_2013_10_14_USA_Swine_PEDV
PEDV_GER_L00901_V215_1978_NA_SNC44847_1_NA_NA_Unknown_PEDV
COL_Antioquia14856_2015_NA_QGQ60332_1_2015_10_21_Colombia_Swine_PEDV
USA_IL_2013_59573_5_E_AKP80626_1_2013_12_31_USA_Swine_PEDV
GDS46_E_QCQ20040_1_2016_05_06_China_Swine_PEDV
KNU_1710_E_AWM11500_1_2017_04_South_Korea_Swine_PEDV
KNU_141112_P10_E_AKS50246_1_2014_11_South_Korea_Swine_PEDV
PEDV_GER_L00927_K20_14_02_2014_E_SNQ27987_1_NA_NA_Unknown_PEDV
JSLS_1_2015_E_AOM53010_1_2015_01_25_China_Swine_PEDV
TC_PC180_P2_NA_AIN52126_1_2013_12_USA_Swine_PEDV
Aram_feces_E_QDY92471_1_2014_South_Korea_Swine_PEDV
CH_JLDH_2016_NA_ASO67379_1_2016_07_China_Swine_PEDV
KNU_1704_E_AWM11470_1_2017_11_South_Korea_Swine_PEDV
PEDV_GER_L00933_K22_14_05_2014_E_SNQ28066_1_NA_NA_Unknown_PEDV
COL_ValledelCauca_2015_NA_QGQ60296_1_2017_07_01_Colombia_Swine_PEDV
PEDV_GER_L00908_K16_14_03_2014_E_SNQ27963_1_NA_NA_Unknown_PEDV
USA_Iowa103_2013_NA_AID57023_1_2013_12_15_USA_Swine_PEDV
OH9097_14_E_ALM31946_1_2014_10_19_USA_Swine_PEDV
KNU_1816_E_QBO24659_1_2018_04_South_Korea_Swine_PEDV
PEDV_GER_L01013_K01_15_03_2015_E_SNQ27889_1_NA_NA_Unknown_PEDV
FKO_1_JPN_2014_E_BAT33121_1_2014_03_Japan_Pig_PEDV
USA_Colorado30_2013_NA_AID56687_1_2013_07_22_USA_Swine_PEDV
YN1_NA_ALM09360_1_2013_08_02_China_Swine_PEDV
USA_Minnesota409_2014_NA_AKJ22189_1_2014_08_28_USA_Swine_PEDV
PEDV_1456_Zaragoza_Egea_de_los_Caballeros_E_QKV43735_1_2014_04_29_Spain_Swine_PEDV
LW_L_E_QBM00063_1_2010_02_China_Swine_PEDV
PEDV_GER_L01059_K07_15_01_2015_E_SNQ28040_1_NA_NA_Unknown_PEDV
GDS05_E_QCQ19800_1_2012_02_08_China_Swine_PEDV
USA_OK10240_8_2017_E_AVI57405_1_2017_02_07_USA_Swine_PEDV
USA_Ohio68_2013_NA_AID56843_1_2013_11_24_USA_Swine_PEDV
PEDV_CHZ_E_AJP67434_1_2013_03_China_Swine_PEDV
MYG_1_JPN_2014_E_BAT33283_1_2014_07_Japan_Pig_PEDV
PEDV_Hjms_E_ATG31096_1_2015_05_11_China_Swine_PEDV
KNU_1804_E_QBA57547_1_2018_03_South_Korea_Swine_PEDV
GDS10_E_AWV57050_1_2013_01_16_China_Swine_PEDV
AOM_1_JPN_2014_E_BAT33115_1_2014_02_Japan_Pig_PEDV
PEDV_1931_1_Valladolid_Molpeceres_E_QKV43801_1_2017_01_19_Spain_Swine_PEDV
USA_Ohio69_2013_NA_AID56849_1_2013_11_24_USA_Swine_PEDV
OH851_NA_AHL38186_1_2014_01_15_USA_Swine_PEDV
PEDV_MEX_GTO_02_2016_NA_AVU05342_1_2016_07_19_Mexico_Swine_PEDV
GDS15_E_QCQ19974_1_2012_07_15_China_Swine_PEDV
NB1_NA_AWA45276_1_2017_02_21_South_Korea_Swine_PEDV
PEDV_MEX_JAL_04_2017_NA_AVU05391_1_2017_02_20_Mexico_Swine_PEDV
Ukraine_Poltava01_2014_NA_ALJ52506_1_2014_11_22_Ukraine_Swine_PEDV
USA_Iowa161_2014_NA_AKJ21979_1_2014_02_17_USA_Swine_PEDV
PC22A_P100_C6_NA_APX42127_1_2015_06_01_USA_Swine_PEDV
PEDV_MEX_JAL_03_2016_NA_AVU05349_1_2016_12_06_Mexico_Swine_PEDV
GDS22_E_QCQ19836_1_2012_09_23_China_Swine_PEDV
PEDV_USA_Minnesota131_2015_E_ANI85808_1_2015_11_04_USA_Swine_PEDV
SM98_NA_ADZ76335_1_NA_NA_Unknown_PEDV
virulent_DR13_NA_AFE85964_1_2009_South_Korea_Swine_PEDV
PEDV_14_E_AJP67422_1_2011_04_China_Swine_PEDV
PEDV_MEX_JAL_19_2017_NA_AVU05356_1_2017_05_10_Mexico_Swine_PEDV
GDS28_E_QCQ19860_1_2012_12_13_China_Swine_PEDV
GDS26_E_QCQ19830_1_2012_09_17_China_Swine_PEDV
USA_Minnesota58_2013_NA_AID56789_1_2013_11_05_USA_Swine_PEDV
PEDV_1931_2_Valladolid_Fompedraza_E_QKV43807_1_2017_01_19_Spain_Swine_PEDV
;
end;
begin trees;
translate
1 PC22A_P120_NA_APX42133_1_2015_10_01_USA_Swine_PEDV,
2 CH_S_E_AEQ55006_1_1986_China_Swine_PEDV,
3 IBR_3_JPN_2014_E_BAT33301_1_2014_04_Japan_Pig_PEDV,
4 GDS20_E_QCQ19806_1_2012_06_22_China_Swine_PEDV,
5 GDS17_E_QCQ19812_1_2012_12_13_China_Swine_PEDV,
6 GER_L03205_2019_NA_CAC9433161_1_NA_NA_Unknown_PEDV,
7 PEDV_1522_Segovia_Navas_de_Oro_E_QKV43759_1_2014_09_30_Spain_Swine_PEDV,
8 PC22A_P3_NA_APX42109_1_2013_06_01_USA_Swine_PEDV,
9 GER_L03208_2019_NA_CAC9433343_1_NA_NA_Unknown_PEDV,
10 GDS31_E_QCQ19992_1_2015_12_08_China_Swine_PEDV,
11 HLJBY_NA_AKJ85725_1_NA_China_Swine_PEDV,
12 ISU13_22038_IA_homogenate_E_AHA38141_1_2013_06_06_USA_Swine_PEDV,
13 PEDV_1776_Badajoz_Alburquerque_E_QKV43783_1_2016_02_12_Spain_Swine_PEDV,
14 GDS51_E_QCQ20046_1_2017_02_24_China_Swine_PEDV,
15 KGS_1_JPN_2013_E_BAT33139_1_2013_12_Japan_Pig_PEDV,
16 GDS53_E_QCQ20052_1_2017_12_17_China_Swine_PEDV,
17 HUN_5031_2016_E_ASB30083_1_2016_03_01_Hungary_Swine_PEDV,
18 PEDV_7C_E_AJP67404_1_2011_06_China_Swine_PEDV,
19 USA_Iowa_18984_2013_NA_AHA38162_1_2013_05_16_USA_Swine_PEDV,
20 LZC_sM_ABM64778_1_NA_China_Unknown_PEDV,
21 HUA_14PED96_NA_ALR74759_1_2014_10_15_Viet_Nam_Swine_PEDV,
22 IBR_6_JPN_2014_E_BAT33241_1_2014_05_Japan_Pig_PEDV,
23 USA_Illinois262_2014_NA_AKJ21925_1_2014_03_19_USA_Swine_PEDV,
24 PEDV_2149_Castellon_Albocacer_E_QKV43831_1_2018_03_02_Spain_Swine_PEDV,
25 USA_Illinois81_2013_NA_AID56909_1_2013_12_03_USA_Swine_PEDV,
26 USA_Minnesota52_2013_NA_AID57083_1_2013_06_26_USA_Swine_PEDV,
27 15V010_BEL_2015_E_AKC34874_1_2015_01_Belgium_Swine_PEDV,
28 JS2008_NA_AGG55747_1_2008_China_Swine_PEDV,
29 PEDV_AUSTRIA_L01065_M10_15_04_2015_E_SNQ27934_1_NA_NA_Unknown_PEDV,
30 PEDV_GER_L01015_K01_15_05_2015_E_SNQ28059_1_NA_NA_Unknown_PEDV,
31 CO_P14_IC_E_ANY27039_1_2013_05_29_USA_Swine_PEDV,
32 AVCT12_M_BAR73379_1_2010_01_Thailand_Unknown_PEDV,
33 K14JB01_NA_AHY04231_1_2014_South_Korea_Swine_PEDV,
34 USA_Minnesota41_2013_NA_AID56741_1_2013_10_14_USA_Swine_PEDV,
35 PEDV_GER_L00901_V215_1978_NA_SNC44847_1_NA_NA_Unknown_PEDV,
36 COL_Antioquia14856_2015_NA_QGQ60332_1_2015_10_21_Colombia_Swine_PEDV,
37 USA_IL_2013_59573_5_E_AKP80626_1_2013_12_31_USA_Swine_PEDV,
38 GDS46_E_QCQ20040_1_2016_05_06_China_Swine_PEDV,
39 KNU_1710_E_AWM11500_1_2017_04_South_Korea_Swine_PEDV,
40 KNU_141112_P10_E_AKS50246_1_2014_11_South_Korea_Swine_PEDV,
41 PEDV_GER_L00927_K20_14_02_2014_E_SNQ27987_1_NA_NA_Unknown_PEDV,
42 JSLS_1_2015_E_AOM53010_1_2015_01_25_China_Swine_PEDV,
43 TC_PC180_P2_NA_AIN52126_1_2013_12_USA_Swine_PEDV,
44 Aram_feces_E_QDY92471_1_2014_South_Korea_Swine_PEDV,
45 CH_JLDH_2016_NA_ASO67379_1_2016_07_China_Swine_PEDV,
46 KNU_1704_E_AWM11470_1_2017_11_South_Korea_Swine_PEDV,
47 PEDV_GER_L00933_K22_14_05_2014_E_SNQ28066_1_NA_NA_Unknown_PEDV,
48 COL_ValledelCauca_2015_NA_QGQ60296_1_2017_07_01_Colombia_Swine_PEDV,
49 PEDV_GER_L00908_K16_14_03_2014_E_SNQ27963_1_NA_NA_Unknown_PEDV,
50 USA_Iowa103_2013_NA_AID57023_1_2013_12_15_USA_Swine_PEDV,
51 OH9097_14_E_ALM31946_1_2014_10_19_USA_Swine_PEDV,
52 KNU_1816_E_QBO24659_1_2018_04_South_Korea_Swine_PEDV,
53 PEDV_GER_L01013_K01_15_03_2015_E_SNQ27889_1_NA_NA_Unknown_PEDV,
54 FKO_1_JPN_2014_E_BAT33121_1_2014_03_Japan_Pig_PEDV,
55 USA_Colorado30_2013_NA_AID56687_1_2013_07_22_USA_Swine_PEDV,
56 YN1_NA_ALM09360_1_2013_08_02_China_Swine_PEDV,
57 USA_Minnesota409_2014_NA_AKJ22189_1_2014_08_28_USA_Swine_PEDV,
58 PEDV_1456_Zaragoza_Egea_de_los_Caballeros_E_QKV43735_1_2014_04_29_Spain_Swine_PEDV,
59 LW_L_E_QBM00063_1_2010_02_China_Swine_PEDV,
60 PEDV_GER_L01059_K07_15_01_2015_E_SNQ28040_1_NA_NA_Unknown_PEDV,
61 GDS05_E_QCQ19800_1_2012_02_08_China_Swine_PEDV,
62 USA_OK10240_8_2017_E_AVI57405_1_2017_02_07_USA_Swine_PEDV,
63 USA_Ohio68_2013_NA_AID56843_1_2013_11_24_USA_Swine_PEDV,
64 PEDV_CHZ_E_AJP67434_1_2013_03_China_Swine_PEDV,
65 MYG_1_JPN_2014_E_BAT33283_1_2014_07_Japan_Pig_PEDV,
66 PEDV_Hjms_E_ATG31096_1_2015_05_11_China_Swine_PEDV,
67 KNU_1804_E_QBA57547_1_2018_03_South_Korea_Swine_PEDV,
68 GDS10_E_AWV57050_1_2013_01_16_China_Swine_PEDV,
69 AOM_1_JPN_2014_E_BAT33115_1_2014_02_Japan_Pig_PEDV,
70 PEDV_1931_1_Valladolid_Molpeceres_E_QKV43801_1_2017_01_19_Spain_Swine_PEDV,
71 USA_Ohio69_2013_NA_AID56849_1_2013_11_24_USA_Swine_PEDV,
72 OH851_NA_AHL38186_1_2014_01_15_USA_Swine_PEDV,
73 PEDV_MEX_GTO_02_2016_NA_AVU05342_1_2016_07_19_Mexico_Swine_PEDV,
74 GDS15_E_QCQ19974_1_2012_07_15_China_Swine_PEDV,
75 NB1_NA_AWA45276_1_2017_02_21_South_Korea_Swine_PEDV,
76 PEDV_MEX_JAL_04_2017_NA_AVU05391_1_2017_02_20_Mexico_Swine_PEDV,
77 Ukraine_Poltava01_2014_NA_ALJ52506_1_2014_11_22_Ukraine_Swine_PEDV,
78 USA_Iowa161_2014_NA_AKJ21979_1_2014_02_17_USA_Swine_PEDV,
79 PC22A_P100_C6_NA_APX42127_1_2015_06_01_USA_Swine_PEDV,
80 PEDV_MEX_JAL_03_2016_NA_AVU05349_1_2016_12_06_Mexico_Swine_PEDV,
81 GDS22_E_QCQ19836_1_2012_09_23_China_Swine_PEDV,
82 PEDV_USA_Minnesota131_2015_E_ANI85808_1_2015_11_04_USA_Swine_PEDV,
83 SM98_NA_ADZ76335_1_NA_NA_Unknown_PEDV,
84 virulent_DR13_NA_AFE85964_1_2009_South_Korea_Swine_PEDV,
85 PEDV_14_E_AJP67422_1_2011_04_China_Swine_PEDV,
86 PEDV_MEX_JAL_19_2017_NA_AVU05356_1_2017_05_10_Mexico_Swine_PEDV,
87 GDS28_E_QCQ19860_1_2012_12_13_China_Swine_PEDV,
88 GDS26_E_QCQ19830_1_2012_09_17_China_Swine_PEDV,
89 USA_Minnesota58_2013_NA_AID56789_1_2013_11_05_USA_Swine_PEDV,
90 PEDV_1931_2_Valladolid_Fompedraza_E_QKV43807_1_2017_01_19_Spain_Swine_PEDV
;
[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 = (1:6.862058e-04,57:6.687633e-04,79:6.604550e-04,(((((((2:2.366246e-03,(20:2.496384e-03,(32:6.475599e-04,83:5.970129e-04)1.000:2.438593e-03,35:6.469642e-04)0.949:1.676435e-03)0.982:2.578471e-03,(11:1.460001e-03,28:1.582657e-03,42:6.671065e-04)1.000:4.174536e-03)0.957:1.923268e-03,45:6.426735e-04)0.964:1.580625e-03,10:6.540139e-04,14:6.235883e-04,16:6.399724e-04,18:1.522274e-03,38:6.481592e-04,59:1.522945e-03,74:6.659492e-04,84:2.494909e-03)0.986:1.425153e-03,4:6.068127e-04,5:5.799432e-04,21:1.550125e-03,56:5.851055e-04,61:6.304565e-04,64:6.369900e-04,66:2.455442e-03,81:1.562748e-03,85:1.506797e-03,88:1.536849e-03)0.830:1.496455e-03,3:6.129419e-04,(6:6.674055e-04,9:7.172056e-04,24:6.930213e-04,70:6.708140e-04,90:6.471949e-04)0.831:1.539505e-03,7:6.212188e-04,12:6.905910e-04,13:1.580493e-03,15:6.165927e-04,17:1.630658e-03,19:6.225875e-04,22:6.467712e-04,23:6.719026e-04,25:6.578904e-04,26:6.097971e-04,27:1.449663e-03,29:6.381327e-04,30:6.655169e-04,31:6.432725e-04,33:6.701749e-04,34:6.008035e-04,(36:6.899633e-04,48:7.558836e-04)0.866:1.588657e-03,37:5.958262e-04,(39:6.218806e-04,75:1.440390e-03)0.986:1.501397e-03,40:6.188029e-04,41:6.574271e-04,43:5.998105e-04,44:7.026913e-04,46:1.552968e-03,47:6.286787e-04,49:6.536773e-04,50:6.717377e-04,51:6.179736e-04,52:1.661974e-03,53:6.124736e-04,54:6.932517e-04,55:6.636008e-04,58:6.129278e-04,60:6.491331e-04,62:6.360228e-04,63:6.361670e-04,65:6.493451e-04,67:2.459774e-03,68:5.985188e-04,69:6.430852e-04,71:6.412030e-04,72:6.184896e-04,73:6.442531e-04,76:6.654120e-04,77:6.379102e-04,78:6.437458e-04,(80:6.566790e-04,86:6.325904e-04)1.000:3.459464e-03,82:6.918429e-04,87:2.486532e-03,89:7.126376e-04)0.694:1.460165e-03,8:8.710791e-04)0.990:1.824751e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:6.862058e-04,57:6.687633e-04,79:6.604550e-04,(((((((2:2.366246e-03,(20:2.496384e-03,(32:6.475599e-04,83:5.970129e-04):2.438593e-03,35:6.469642e-04):1.676435e-03):2.578471e-03,(11:1.460001e-03,28:1.582657e-03,42:6.671065e-04):4.174536e-03):1.923268e-03,45:6.426735e-04):1.580625e-03,10:6.540139e-04,14:6.235883e-04,16:6.399724e-04,18:1.522274e-03,38:6.481592e-04,59:1.522945e-03,74:6.659492e-04,84:2.494909e-03):1.425153e-03,4:6.068127e-04,5:5.799432e-04,21:1.550125e-03,56:5.851055e-04,61:6.304565e-04,64:6.369900e-04,66:2.455442e-03,81:1.562748e-03,85:1.506797e-03,88:1.536849e-03):1.496455e-03,3:6.129419e-04,(6:6.674055e-04,9:7.172056e-04,24:6.930213e-04,70:6.708140e-04,90:6.471949e-04):1.539505e-03,7:6.212188e-04,12:6.905910e-04,13:1.580493e-03,15:6.165927e-04,17:1.630658e-03,19:6.225875e-04,22:6.467712e-04,23:6.719026e-04,25:6.578904e-04,26:6.097971e-04,27:1.449663e-03,29:6.381327e-04,30:6.655169e-04,31:6.432725e-04,33:6.701749e-04,34:6.008035e-04,(36:6.899633e-04,48:7.558836e-04):1.588657e-03,37:5.958262e-04,(39:6.218806e-04,75:1.440390e-03):1.501397e-03,40:6.188029e-04,41:6.574271e-04,43:5.998105e-04,44:7.026913e-04,46:1.552968e-03,47:6.286787e-04,49:6.536773e-04,50:6.717377e-04,51:6.179736e-04,52:1.661974e-03,53:6.124736e-04,54:6.932517e-04,55:6.636008e-04,58:6.129278e-04,60:6.491331e-04,62:6.360228e-04,63:6.361670e-04,65:6.493451e-04,67:2.459774e-03,68:5.985188e-04,69:6.430852e-04,71:6.412030e-04,72:6.184896e-04,73:6.442531e-04,76:6.654120e-04,77:6.379102e-04,78:6.437458e-04,(80:6.566790e-04,86:6.325904e-04):3.459464e-03,82:6.918429e-04,87:2.486532e-03,89:7.126376e-04):1.460165e-03,8:8.710791e-04):1.824751e-03);
end;
Estimated marginal likelihoods for runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
(Use the harmonic mean for Bayes factor comparisons of models)
(Values are saved to the file /data/mrbayes_input.nex.lstat)
Run Arithmetic mean Harmonic mean
--------------------------------------
1 -490.47 -522.76
2 -489.55 -512.06
--------------------------------------
TOTAL -489.91 -522.06
--------------------------------------
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} 0.129631 0.000794 0.076941 0.183509 0.126963 1378.89 1433.95 1.000
r(A<->C){all} 0.039166 0.001497 0.000041 0.117850 0.026951 197.94 251.49 1.004
r(A<->G){all} 0.161941 0.005289 0.030557 0.302245 0.152838 219.04 279.63 1.000
r(A<->T){all} 0.066666 0.001496 0.007075 0.142147 0.059605 402.36 429.69 1.001
r(C<->G){all} 0.091973 0.003721 0.000509 0.208837 0.080466 190.34 201.88 1.000
r(C<->T){all} 0.555596 0.008903 0.374648 0.740753 0.558455 215.18 266.79 1.001
r(G<->T){all} 0.084658 0.002276 0.008785 0.175285 0.075761 357.29 367.87 1.001
pi(A){all} 0.238744 0.000772 0.185500 0.291889 0.238963 1064.49 1076.85 1.000
pi(C){all} 0.198245 0.000639 0.152940 0.249818 0.197284 925.03 958.17 1.001
pi(G){all} 0.171875 0.000562 0.122771 0.215820 0.171097 950.59 951.82 1.000
pi(T){all} 0.391136 0.000952 0.328724 0.449373 0.390608 947.04 971.70 1.000
alpha{1,2} 1.389097 1.214898 0.001539 3.558401 1.093463 1132.98 1145.25 1.002
alpha{3} 0.990469 0.872331 0.000518 2.850328 0.715612 702.07 857.37 1.000
pinvar{all} 0.260398 0.030412 0.000066 0.571655 0.238376 538.47 582.65 1.000
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* 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: `(C308,C573,C307,(((((((C65,(C274,(C22,C454),C351)),(C188,C216,C222)),C60),C146,C166,C167,C338,C162,C271,C131,C674),C135,C132,C190,C658,C119,C346,C380,C137,C319,C141),C199,(C176,C181,C337,C334,C333),C325,C210,C331,C229,C192,C531,C203,C505,C510,C574,C2,C343,C369,C108,C226,C571,(C93,C107),C495,(C253,C284),C238,C357,C465,C27,C247,C362,C354,C519,C298,C259,C368,C113,C486,C322,C374,C618,C627,C283,C252,C125,C18,C626,C295,C386,C394,C650,C521,(C392,C398),C422,C143,C575),C312))` >Would you like to use it (y/n)? >Loaded a multiple sequence alignment with **90** sequences, **76** codons, and **1** partitions from `/data//pss_subsets/LZW_E_AIJ01343_1_2012_02_China_Unknown_PEDV.result/original_alignment/fubar/results/LZW_E_AIJ01343_1_2012_02_China_Unknown_PEDV.result.1/LZW_E_AIJ01343_1_2012_02_China_Unknown_PEDV.result.1.fna` > FUBAR will write cache and result files to _/data//pss_subsets/LZW_E_AIJ01343_1_2012_02_China_Unknown_PEDV.result/original_alignment/fubar/results/LZW_E_AIJ01343_1_2012_02_China_Unknown_PEDV.result.1/LZW_E_AIJ01343_1_2012_02_China_Unknown_PEDV.result.1.fna.FUBAR.cache_ and _/data//pss_subsets/LZW_E_AIJ01343_1_2012_02_China_Unknown_PEDV.result/original_alignment/fubar/results/LZW_E_AIJ01343_1_2012_02_China_Unknown_PEDV.result.1/LZW_E_AIJ01343_1_2012_02_China_Unknown_PEDV.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) = -604.89, AIC-c = 1435.02 (112 estimated parameters) * Tree length (expected substitutions/site) for partition 1 : 0.207 ### 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 = 1.227 * non-synonymous rate = 0.786 * Computing conditional site likelihoods on a 20 x 20 rate grid ### Running an iterative zeroth order variational Bayes procedure to estimate the posterior mean of rate weights * Using the following settings * Dirichlet alpha : 0.5 ### Tabulating site-level results ---- ## FUBAR inferred no sites under subject to positive selection at posterior probability >= 0.9
Not all of the following information may be relevant for the case being handled, since this project may be part of a much larger auto-PSS-genome project where several methods of detection of positively selected sites have been used. As such the aligned.score_ascii file may have more sequences than the file effectively used to detect positively selected codons, since the content of this file reflects the content of the file used for the master alignment, from which a subsample may have been taken # ### General parameters ### # # The maximum number of sequences to use for the master file sequence_limit=90 # The random seed random_seed=3976763 # ### Alignment ### # # The alignment method: clustalw, muscle, kalign, t_coffee, or amap align_method=muscle # Minimum support value for amino acid positions in the alignment tcoffee_min_score=3 # ### MrBayes ### # # Number of iterations in MrBayes mrbayes_generations=1000000 # MrBayes burnin mrbayes_burnin=2500 # ### FUBAR ### # # The maximum number of sequences to be used by FUBAR. fubar_sequence_limit=90 # The number of FUBAR runs fubar_runs=1 # ### codeML ### # # The maximum number of sequences to be used by CodeML codeml_sequence_limit=30 # The number of CodeML runs codeml_runs=1 # The CodeML models to be run, one or more of: '1', '2', '7', and/or '8'. codeml_models=1 2 7 8 # ### OmegaMap ### # # The maximum number of sequences to use in OmegaMap omegamap_sequence_limit=90 # The number of OmegaMap runs omegamap_runs=1 # The number of OmegaMap iterations omegamap_iterations=2500
Phone: +351 220 408 800
Email: info@i3s.up.pt
Address: Rua Alfredo Allen, 208
4200-135 Porto, Portugal
If you use B+, please cite us:
N. Vázquez, C.P. Vieira, B.S.R. Amorin, A. Torres, H. López-Fernández, F. Fdez-Riverola, J.L.R. Sousa, M. Reboiro-Jato, J. Vieira (2018) Large Scale Analyses and Visualization of Adaptive Amino Acid Changes Projects. Interdisciplinary Sciences: Computational Life Sciences. https://doi.org/10.1007/s12539-018-0282-7
N. Vázquez, C.P. Vieira, B.S.R. Amorin, A. Torres, H. López-Fernández, F. Fdez-Riverola, J.L.R. Sousa, M. Reboiro-Jato, J. Vieira (2017) Automated Collection and Sharing of Adaptive Amino Acid Changes Data. 11th International Conference on Practical Applications of Computational Biology & Bioinformatics. Porto, Portugal. https://doi.org/10.1007/978-3-319-60816-7_3
