--- 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 -674.84 -692.60
2 -674.29 -693.04
--------------------------------------
TOTAL -674.53 -692.84
--------------------------------------
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} 0.103102 0.000525 0.061581 0.149193 0.101024 1329.14 1383.99 1.000
r(A<->C){all} 0.131387 0.004652 0.023319 0.269231 0.120783 187.27 218.42 1.005
r(A<->G){all} 0.142683 0.004573 0.025689 0.276886 0.132121 231.56 274.41 1.000
r(A<->T){all} 0.171495 0.004495 0.058897 0.305522 0.161596 139.97 239.53 1.001
r(C<->G){all} 0.033746 0.001128 0.000008 0.101200 0.023514 340.55 370.42 1.000
r(C<->T){all} 0.361217 0.007661 0.204502 0.536175 0.358611 293.52 311.81 1.000
r(G<->T){all} 0.159472 0.003627 0.057656 0.277762 0.151172 229.51 291.88 1.000
pi(A){all} 0.198602 0.000440 0.158771 0.239433 0.197852 717.17 898.55 1.000
pi(C){all} 0.223892 0.000469 0.182901 0.266706 0.222984 905.84 1009.21 1.000
pi(G){all} 0.245029 0.000527 0.201416 0.292622 0.244926 794.23 879.16 1.000
pi(T){all} 0.332477 0.000600 0.284229 0.378570 0.332514 987.18 1006.73 1.000
alpha{1,2} 0.495748 0.405915 0.000190 1.742699 0.272084 634.54 716.04 1.001
alpha{3} 1.510256 1.299298 0.002161 3.715868 1.237413 1045.64 1072.09 1.001
pinvar{all} 0.385854 0.038984 0.000337 0.695691 0.394868 612.29 671.12 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 16:36:25 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/LZW_L_VIPR_ALG4_672096710_293_622_1_2012_02_China_Swine_PEDV.result--
-- Starting log on Thu Nov 17 16:38:32 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/LZW_L_VIPR_ALG4_672096710_293_622_1_2012_02_China_Swine_PEDV.result--
-- Starting log on Thu Nov 17 16:36:25 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/LZW_L_VIPR_ALG4_672096710_293_622_1_2012_02_China_Swine_PEDV.result--
-- Starting log on Thu Nov 17 22:10:08 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/LZW_L_VIPR_ALG4_672096710_293_622_1_2012_02_China_Swine_PEDV.result/gapped_alignment/fubar,LZW_L_VIPR_ALG4_672096710_293_622_1_2012_02_China_Swine_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 330 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C34
Taxon 2 -> C65
Taxon 3 -> C619
Taxon 4 -> C295
Taxon 5 -> C192
Taxon 6 -> C196
Taxon 7 -> C325
Taxon 8 -> C93
Taxon 9 -> C597
Taxon 10 -> C206
Taxon 11 -> C208
Taxon 12 -> C606
Taxon 13 -> C331
Taxon 14 -> C75
Taxon 15 -> C231
Taxon 16 -> C651
Taxon 17 -> C230
Taxon 18 -> C220
Taxon 19 -> C337
Taxon 20 -> C90
Taxon 21 -> C72
Taxon 22 -> C507
Taxon 23 -> C545
Taxon 24 -> C224
Taxon 25 -> C344
Taxon 26 -> C87
Taxon 27 -> C228
Taxon 28 -> C132
Taxon 29 -> C531
Taxon 30 -> C236
Taxon 31 -> C350
Taxon 32 -> C16
Taxon 33 -> C366
Taxon 34 -> C571
Taxon 35 -> C13
Taxon 36 -> C555
Taxon 37 -> C248
Taxon 38 -> C356
Taxon 39 -> C99
Taxon 40 -> C504
Taxon 41 -> C252
Taxon 42 -> C579
Taxon 43 -> C260
Taxon 44 -> C362
Taxon 45 -> C60
Taxon 46 -> C105
Taxon 47 -> C642
Taxon 48 -> C312
Taxon 49 -> C603
Taxon 50 -> C272
Taxon 51 -> C368
Taxon 52 -> C111
Taxon 53 -> C182
Taxon 54 -> C628
Taxon 55 -> C627
Taxon 56 -> C389
Taxon 57 -> C284
Taxon 58 -> C374
Taxon 59 -> C117
Taxon 60 -> C326
Taxon 61 -> C97
Taxon 62 -> C317
Taxon 63 -> C552
Taxon 64 -> C380
Taxon 65 -> C123
Taxon 66 -> C68
Taxon 67 -> C648
Taxon 68 -> C165
Taxon 69 -> C427
Taxon 70 -> C351
Taxon 71 -> C572
Taxon 72 -> C385
Taxon 73 -> C129
Taxon 74 -> C315
Taxon 75 -> C493
Taxon 76 -> C381
Taxon 77 -> C584
Taxon 78 -> C561
Taxon 79 -> C391
Taxon 80 -> C135
Taxon 81 -> C465
Taxon 82 -> C559
Taxon 83 -> C411
Taxon 84 -> C596
Taxon 85 -> C397
Taxon 86 -> C141
Taxon 87 -> C615
Taxon 88 -> C625
Taxon 89 -> C575
Taxon 90 -> C441
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1668723010
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) = 881480738
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 = 0766045707
Seed = 520885188
Swapseed = 1668723010
Model settings:
Settings for partition 1 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Settings for partition 2 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Settings for partition 3 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Active parameters:
Partition(s)
Parameters 1 2 3
---------------------------
Revmat 1 1 1
Statefreq 2 2 2
Shape 3 3 4
Pinvar 5 5 5
Ratemultiplier 6 6 6
Topology 7 7 7
Brlens 8 8 8
---------------------------
Parameters can be linked or unlinked across partitions using 'link' and 'unlink'
1 -- Parameter = Revmat{all}
Type = Rates of reversible rate matrix
Prior = Dirichlet(1.00,1.00,1.00,1.00,1.00,1.00)
Partitions = All
2 -- Parameter = Pi{all}
Type = Stationary state frequencies
Prior = Dirichlet
Partitions = All
3 -- Parameter = Alpha{1,2}
Type = Shape of scaled gamma distribution of site rates
Prior = Exponential(1.00)
Partitions = 1 and 2
4 -- Parameter = Alpha{3}
Type = Shape of scaled gamma distribution of site rates
Prior = Exponential(1.00)
Partition = 3
5 -- Parameter = Pinvar{all}
Type = Proportion of invariable sites
Prior = Uniform(0.00,1.00)
Partitions = All
6 -- Parameter = Ratemultiplier{all}
Type = Partition-specific rate multiplier
Prior = Fixed(1.0)
Partitions = All
7 -- Parameter = Tau{all}
Type = Topology
Prior = All topologies equally probable a priori
Partitions = All
Subparam. = V{all}
8 -- Parameter = V{all}
Type = Branch lengths
Prior = Unconstrained:GammaDir(1.0,0.1000,1.0,1.0)
Partitions = All
The MCMC sampler will use the following moves:
With prob. Chain will use move
0.91 % Dirichlet(Revmat{all})
0.91 % Slider(Revmat{all})
0.91 % Dirichlet(Pi{all})
0.91 % Slider(Pi{all})
1.82 % Multiplier(Alpha{1,2})
1.82 % Multiplier(Alpha{3})
1.82 % Slider(Pinvar{all})
9.09 % ExtSPR(Tau{all},V{all})
9.09 % ExtTBR(Tau{all},V{all})
9.09 % NNI(Tau{all},V{all})
9.09 % ParsSPR(Tau{all},V{all})
36.36 % Multiplier(V{all})
12.73 % Nodeslider(V{all})
5.45 % TLMultiplier(V{all})
Division 1 has 9 unique site patterns
Division 2 has 16 unique site patterns
Division 3 has 25 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 -- -1865.269061 -- 149.597508
Chain 2 -- -1879.207713 -- 149.597508
Chain 3 -- -1865.701990 -- 149.597508
Chain 4 -- -1856.678493 -- 149.597508
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -1875.461661 -- 149.597508
Chain 2 -- -1864.523230 -- 149.597508
Chain 3 -- -1832.601486 -- 149.597508
Chain 4 -- -1885.313543 -- 149.597508
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-1865.269] (-1879.208) (-1865.702) (-1856.678) * [-1875.462] (-1864.523) (-1832.601) (-1885.314)
1000 -- (-1284.763) (-1400.409) (-1387.546) [-1179.887] * [-1257.947] (-1374.091) (-1268.168) (-1243.287) -- 0:33:18
2000 -- (-1153.478) (-1290.700) (-1244.437) [-1023.872] * (-1214.850) (-1280.271) (-1102.461) [-1094.129] -- 0:33:16
3000 -- (-1096.030) (-1151.081) (-1139.043) [-972.934] * (-1104.104) (-1127.047) (-1043.601) [-1020.101] -- 0:38:46
4000 -- (-1011.657) (-1092.616) (-1108.757) [-946.481] * (-1065.981) (-971.047) (-977.419) [-962.762] -- 0:41:30
5000 -- (-956.323) (-1032.169) (-1098.320) [-932.674] * (-1035.538) (-975.673) (-961.387) [-928.070] -- 0:39:48
Average standard deviation of split frequencies: 0.086401
6000 -- (-979.810) (-976.601) (-1063.080) [-915.562] * (-1017.176) (-959.602) (-953.573) [-911.095] -- 0:41:25
7000 -- (-979.803) (-959.698) (-1039.946) [-903.393] * (-979.921) (-952.719) (-934.079) [-893.137] -- 0:40:11
8000 -- (-974.712) (-956.419) (-1023.965) [-907.663] * (-971.828) (-926.929) (-910.161) [-893.999] -- 0:41:20
9000 -- (-970.805) (-943.113) (-1024.282) [-897.368] * (-966.025) (-923.249) [-902.506] (-894.245) -- 0:38:32
10000 -- (-955.064) (-934.501) (-1013.368) [-902.800] * (-958.800) (-923.021) [-906.656] (-903.315) -- 0:37:57
Average standard deviation of split frequencies: 0.110610
11000 -- (-933.758) (-935.756) (-993.602) [-894.012] * (-962.534) (-918.767) (-903.595) [-884.120] -- 0:38:57
12000 -- (-919.837) (-935.936) (-972.420) [-885.456] * (-964.159) (-920.707) (-911.263) [-879.376] -- 0:38:25
13000 -- (-914.153) (-926.661) (-973.099) [-872.511] * (-956.327) (-924.120) (-898.081) [-876.777] -- 0:39:13
14000 -- (-916.105) (-926.932) (-959.864) [-876.350] * (-951.566) (-928.553) (-905.516) [-872.392] -- 0:38:44
15000 -- (-929.307) (-942.636) (-928.748) [-858.252] * (-935.514) (-924.100) (-915.264) [-868.433] -- 0:39:24
Average standard deviation of split frequencies: 0.116636
16000 -- (-921.559) (-940.236) (-949.016) [-868.190] * (-935.055) (-915.839) (-901.982) [-869.588] -- 0:39:58
17000 -- (-914.165) (-938.655) (-938.496) [-873.648] * (-931.957) (-907.759) (-898.438) [-874.837] -- 0:39:30
18000 -- (-916.998) (-953.235) (-925.644) [-871.885] * (-933.416) (-920.901) (-911.200) [-884.065] -- 0:39:05
19000 -- (-917.432) (-957.379) (-917.508) [-861.557] * (-939.816) (-921.870) (-903.820) [-872.238] -- 0:38:43
20000 -- (-929.488) (-945.452) (-913.688) [-862.935] * (-936.022) (-910.318) (-901.167) [-872.138] -- 0:39:12
Average standard deviation of split frequencies: 0.108347
21000 -- (-927.207) (-944.335) (-918.284) [-864.310] * (-925.460) (-908.962) (-912.823) [-881.205] -- 0:38:50
22000 -- (-922.016) (-938.143) (-935.320) [-862.579] * (-930.727) (-913.901) (-907.998) [-881.150] -- 0:38:31
23000 -- (-919.482) (-929.393) (-929.196) [-867.947] * (-930.011) (-918.951) (-904.014) [-890.509] -- 0:38:13
24000 -- (-917.692) (-923.207) (-923.082) [-867.665] * (-940.835) (-922.871) (-905.594) [-891.355] -- 0:37:57
25000 -- (-924.164) (-929.615) (-924.185) [-861.656] * (-937.833) (-913.088) (-895.878) [-888.173] -- 0:37:42
Average standard deviation of split frequencies: 0.089533
26000 -- (-925.180) (-943.449) (-933.444) [-864.540] * (-942.128) (-926.909) (-894.057) [-877.376] -- 0:37:27
27000 -- (-915.858) (-926.964) (-932.467) [-865.993] * (-942.863) (-926.944) (-898.298) [-881.809] -- 0:37:14
28000 -- (-921.272) (-931.242) (-936.127) [-863.791] * (-943.546) (-921.523) (-905.520) [-876.764] -- 0:37:01
29000 -- (-917.513) (-923.914) (-941.919) [-869.355] * (-938.796) (-925.946) (-903.223) [-897.923] -- 0:36:49
30000 -- (-914.345) (-918.246) (-940.679) [-861.347] * (-930.070) (-926.056) (-893.318) [-890.481] -- 0:36:38
Average standard deviation of split frequencies: 0.090713
31000 -- (-912.682) (-931.192) (-938.439) [-859.821] * (-930.706) (-913.431) (-912.980) [-884.377] -- 0:36:28
32000 -- (-921.259) (-919.738) (-929.521) [-877.416] * (-935.467) (-918.488) (-902.294) [-878.924] -- 0:36:18
33000 -- (-936.387) (-917.455) (-928.169) [-871.050] * (-934.892) (-926.489) (-894.909) [-876.360] -- 0:36:08
34000 -- (-921.797) (-918.630) (-934.685) [-864.914] * (-938.357) (-926.074) (-891.895) [-865.384] -- 0:35:59
35000 -- (-932.722) (-913.294) (-929.541) [-867.742] * (-943.455) (-925.538) (-899.697) [-874.902] -- 0:36:18
Average standard deviation of split frequencies: 0.093635
36000 -- (-919.934) (-910.764) (-931.900) [-870.647] * (-942.738) (-931.651) (-891.392) [-871.441] -- 0:36:09
37000 -- (-921.563) (-908.199) (-922.121) [-867.754] * (-943.801) (-927.913) (-894.750) [-877.509] -- 0:36:26
38000 -- (-921.916) (-920.658) (-920.382) [-874.188] * (-941.859) (-924.666) (-907.278) [-874.821] -- 0:36:17
39000 -- (-933.065) (-913.301) (-918.856) [-867.370] * (-941.369) (-918.643) (-890.690) [-871.786] -- 0:36:33
40000 -- (-930.569) (-929.006) (-919.477) [-878.632] * (-944.309) (-929.859) (-901.218) [-875.533] -- 0:36:48
Average standard deviation of split frequencies: 0.095021
41000 -- (-918.084) (-926.037) (-925.433) [-877.159] * (-938.771) (-927.292) (-937.614) [-879.891] -- 0:36:38
42000 -- (-915.594) (-928.638) (-933.895) [-876.671] * (-936.700) (-936.739) (-931.907) [-873.119] -- 0:36:52
43000 -- (-921.853) (-939.006) (-939.229) [-877.890] * (-940.187) (-934.293) (-917.122) [-868.752] -- 0:37:05
44000 -- (-910.896) (-930.170) (-925.862) [-873.121] * (-928.609) (-932.635) (-927.098) [-863.610] -- 0:37:17
45000 -- (-910.626) (-923.818) (-926.344) [-868.287] * (-937.753) (-922.492) (-904.692) [-862.338] -- 0:37:29
Average standard deviation of split frequencies: 0.084580
46000 -- (-924.124) (-936.725) (-937.648) [-867.276] * (-939.789) (-913.000) (-911.901) [-863.933] -- 0:37:19
47000 -- (-919.786) (-936.246) (-927.712) [-876.282] * (-944.172) (-913.505) (-919.053) [-865.153] -- 0:37:30
48000 -- (-916.571) (-932.567) (-936.826) [-866.156] * (-938.876) (-916.901) (-919.326) [-878.675] -- 0:37:01
49000 -- (-918.897) (-930.328) (-924.831) [-864.960] * (-933.902) (-909.586) (-911.878) [-869.410] -- 0:36:52
50000 -- (-917.667) (-921.112) (-932.726) [-872.740] * (-939.135) (-920.735) (-929.091) [-870.966] -- 0:36:44
Average standard deviation of split frequencies: 0.085125
51000 -- (-910.988) (-921.042) (-939.162) [-868.347] * (-928.856) (-921.375) (-919.046) [-886.262] -- 0:36:35
52000 -- (-920.994) (-929.396) (-932.778) [-870.850] * (-935.011) (-920.995) (-922.191) [-893.086] -- 0:36:27
53000 -- (-927.308) (-923.520) (-922.905) [-860.903] * (-933.194) (-927.574) (-923.220) [-888.733] -- 0:36:19
54000 -- (-918.446) (-919.421) (-919.747) [-859.522] * (-935.376) (-918.483) (-925.713) [-892.205] -- 0:36:12
55000 -- (-920.006) (-935.146) (-920.267) [-866.042] * (-919.465) (-919.968) (-928.928) [-885.421] -- 0:36:04
Average standard deviation of split frequencies: 0.084714
56000 -- (-922.921) (-909.920) (-922.735) [-864.727] * (-930.773) (-919.237) (-912.778) [-881.746] -- 0:35:57
57000 -- (-928.096) (-927.124) (-934.399) [-866.782] * (-929.749) (-909.200) (-921.087) [-885.379] -- 0:35:50
58000 -- (-923.301) (-929.780) (-918.256) [-858.492] * (-935.456) (-901.451) (-917.382) [-873.712] -- 0:35:43
59000 -- (-913.334) (-926.946) (-927.541) [-854.695] * (-925.830) (-911.301) (-929.986) [-873.975] -- 0:35:37
60000 -- (-917.945) (-924.542) (-933.886) [-860.060] * (-942.867) (-919.784) (-921.193) [-877.526] -- 0:35:30
Average standard deviation of split frequencies: 0.080911
61000 -- (-915.708) (-934.386) (-938.153) [-861.408] * (-948.249) (-913.599) (-922.278) [-879.224] -- 0:35:24
62000 -- (-922.807) (-919.888) (-930.560) [-871.341] * (-938.400) (-925.807) (-896.900) [-878.998] -- 0:35:18
63000 -- (-923.181) (-921.845) (-939.216) [-871.834] * (-917.796) (-926.341) (-903.748) [-870.732] -- 0:35:11
64000 -- (-928.446) (-921.247) (-932.170) [-870.755] * (-937.328) (-920.863) (-909.486) [-880.815] -- 0:35:06
65000 -- (-918.304) (-925.853) (-933.020) [-874.706] * (-935.553) (-908.783) (-919.073) [-885.548] -- 0:35:14
Average standard deviation of split frequencies: 0.070018
66000 -- (-917.807) (-931.461) (-926.625) [-880.212] * (-927.006) (-915.776) (-912.518) [-883.372] -- 0:35:08
67000 -- (-924.997) (-938.692) (-936.834) [-885.246] * (-916.521) (-902.166) (-903.356) [-879.507] -- 0:35:02
68000 -- (-924.378) (-928.690) (-943.405) [-882.107] * (-925.328) (-902.628) (-908.533) [-878.671] -- 0:34:57
69000 -- (-918.879) (-922.957) (-936.658) [-869.973] * (-924.493) (-915.271) (-912.267) [-871.018] -- 0:34:51
70000 -- (-934.715) (-920.552) (-937.536) [-872.986] * (-920.812) (-915.157) (-911.811) [-870.158] -- 0:34:45
Average standard deviation of split frequencies: 0.067661
71000 -- (-916.620) (-922.704) (-935.525) [-873.343] * (-930.627) (-907.783) (-934.176) [-879.817] -- 0:34:40
72000 -- (-908.309) (-926.164) (-951.715) [-880.447] * (-933.728) (-918.078) (-932.037) [-883.090] -- 0:34:35
73000 -- (-924.652) (-927.098) (-941.387) [-868.265] * (-940.538) (-932.963) (-931.735) [-881.153] -- 0:34:42
74000 -- (-930.726) (-930.779) (-938.386) [-875.201] * (-920.529) (-922.077) (-919.519) [-879.754] -- 0:34:37
75000 -- (-921.223) (-917.599) (-931.937) [-866.408] * (-928.690) (-923.933) (-911.730) [-876.500] -- 0:34:32
Average standard deviation of split frequencies: 0.063681
76000 -- (-915.070) (-926.118) (-930.944) [-877.020] * (-922.268) (-934.247) (-911.883) [-870.178] -- 0:34:26
77000 -- (-912.942) (-922.934) (-935.006) [-881.972] * (-921.005) (-929.502) (-911.982) [-868.974] -- 0:34:21
78000 -- (-915.305) (-930.191) (-933.898) [-883.320] * (-918.307) (-928.440) (-906.114) [-861.797] -- 0:34:16
79000 -- (-916.873) (-936.795) (-939.620) [-878.332] * (-926.646) (-929.854) (-926.175) [-854.249] -- 0:34:11
80000 -- (-916.177) (-929.919) (-924.798) [-883.507] * (-929.831) (-939.382) (-923.107) [-857.904] -- 0:34:07
Average standard deviation of split frequencies: 0.060679
81000 -- (-917.833) (-936.768) (-924.742) [-870.621] * (-934.021) (-943.534) (-920.715) [-864.581] -- 0:34:13
82000 -- (-919.263) (-933.183) (-925.552) [-872.573] * (-940.715) (-941.676) (-930.718) [-854.874] -- 0:34:08
83000 -- (-921.436) (-928.090) (-924.093) [-880.134] * (-943.393) (-945.750) (-907.505) [-851.568] -- 0:33:52
84000 -- (-920.692) (-928.198) (-925.096) [-885.501] * (-932.892) (-937.013) (-912.333) [-858.310] -- 0:33:48
85000 -- (-934.274) (-932.132) (-917.649) [-879.055] * (-939.389) (-920.551) (-912.636) [-861.126] -- 0:33:43
Average standard deviation of split frequencies: 0.058174
86000 -- (-932.297) (-929.945) (-916.428) [-883.374] * (-942.085) (-924.342) (-912.337) [-862.517] -- 0:33:39
87000 -- (-929.561) (-929.658) (-923.089) [-881.666] * (-932.967) (-930.564) (-922.443) [-856.226] -- 0:33:34
88000 -- (-927.294) (-927.890) (-929.922) [-877.247] * (-948.411) (-924.513) (-911.111) [-858.061] -- 0:33:40
89000 -- (-931.652) (-941.090) (-934.402) [-880.513] * (-944.844) (-928.429) (-916.188) [-860.073] -- 0:33:36
90000 -- (-925.302) (-938.767) (-911.943) [-883.184] * (-937.411) (-927.884) (-918.735) [-859.633] -- 0:33:22
Average standard deviation of split frequencies: 0.056532
91000 -- (-919.981) (-938.276) (-918.116) [-884.414] * (-919.949) (-917.716) (-914.047) [-864.284] -- 0:33:27
92000 -- (-928.217) (-933.485) (-913.484) [-881.687] * (-921.039) (-908.995) (-906.106) [-862.978] -- 0:33:23
93000 -- (-917.722) (-928.000) (-917.311) [-874.696] * (-931.867) (-930.706) (-908.272) [-870.609] -- 0:33:19
94000 -- (-923.946) (-936.163) (-919.658) [-878.357] * (-928.768) (-946.468) (-925.470) [-869.688] -- 0:33:15
95000 -- (-930.689) (-938.349) (-922.161) [-871.397] * (-924.065) (-939.990) (-907.287) [-866.975] -- 0:33:11
Average standard deviation of split frequencies: 0.057421
96000 -- (-934.764) (-938.019) (-923.492) [-868.043] * (-934.726) (-945.438) (-911.962) [-867.383] -- 0:33:06
97000 -- (-931.156) (-929.933) (-919.102) [-868.979] * (-936.901) (-944.730) (-911.588) [-872.207] -- 0:33:02
98000 -- (-930.702) (-931.430) (-915.806) [-870.529] * (-923.802) (-935.547) (-915.388) [-862.470] -- 0:32:58
99000 -- (-932.552) (-928.990) (-914.050) [-872.531] * (-913.482) (-939.458) (-911.401) [-863.915] -- 0:32:54
100000 -- (-924.522) (-920.613) (-919.863) [-857.614] * (-917.388) (-937.156) (-917.026) [-857.157] -- 0:32:51
Average standard deviation of split frequencies: 0.055079
101000 -- (-925.189) (-915.115) (-923.614) [-861.694] * (-929.158) (-917.753) (-912.306) [-867.542] -- 0:32:47
102000 -- (-919.455) (-918.140) (-933.217) [-860.004] * (-941.199) (-926.434) (-912.156) [-850.507] -- 0:32:52
103000 -- (-909.578) (-926.503) (-933.941) [-869.086] * (-938.738) (-927.049) (-919.440) [-855.282] -- 0:32:48
104000 -- (-925.802) (-924.267) (-939.808) [-868.080] * (-941.992) (-929.932) (-907.019) [-858.748] -- 0:32:44
105000 -- (-928.554) (-923.934) (-928.471) [-868.486] * (-951.855) (-926.848) (-912.683) [-865.725] -- 0:32:40
Average standard deviation of split frequencies: 0.052449
106000 -- (-919.494) (-929.947) (-908.702) [-865.478] * (-940.069) (-931.762) (-903.371) [-870.104] -- 0:32:36
107000 -- (-929.822) (-924.425) (-915.056) [-858.217] * (-934.120) (-918.988) (-908.043) [-864.684] -- 0:32:32
108000 -- (-920.198) (-917.633) (-914.576) [-865.737] * (-941.178) (-921.560) (-907.688) [-868.322] -- 0:32:37
109000 -- (-926.320) (-929.766) (-915.583) [-857.996] * (-942.730) (-922.021) (-924.887) [-868.887] -- 0:32:41
110000 -- (-918.069) (-919.671) (-923.945) [-867.579] * (-929.973) (-917.676) (-912.833) [-862.282] -- 0:32:46
Average standard deviation of split frequencies: 0.051336
111000 -- (-927.274) (-920.558) (-924.546) [-865.453] * (-937.040) (-924.505) (-908.218) [-867.154] -- 0:32:42
112000 -- (-930.387) (-924.837) (-924.150) [-873.728] * (-946.956) (-929.607) (-909.419) [-867.258] -- 0:32:46
113000 -- (-930.191) (-920.028) (-929.353) [-865.097] * (-940.452) (-929.231) (-911.478) [-865.297] -- 0:32:50
114000 -- (-927.994) (-921.779) (-926.242) [-869.729] * (-933.698) (-924.825) (-911.635) [-863.060] -- 0:32:54
115000 -- (-928.280) (-925.375) (-924.229) [-868.721] * (-934.869) (-921.877) (-924.141) [-869.350] -- 0:32:57
Average standard deviation of split frequencies: 0.051314
116000 -- (-929.192) (-930.747) (-916.457) [-871.555] * (-926.325) (-926.882) (-916.396) [-856.040] -- 0:33:01
117000 -- (-927.958) (-922.814) (-910.229) [-867.108] * (-925.370) (-926.436) (-915.785) [-861.364] -- 0:33:04
118000 -- (-918.997) (-932.857) (-904.661) [-865.985] * (-930.797) (-936.824) (-919.049) [-854.483] -- 0:33:00
119000 -- (-911.637) (-922.053) (-916.430) [-871.964] * (-922.546) (-925.122) (-919.002) [-858.308] -- 0:33:04
120000 -- (-916.899) (-922.529) (-919.369) [-865.682] * (-929.371) (-933.255) (-911.094) [-869.434] -- 0:33:07
Average standard deviation of split frequencies: 0.050076
121000 -- (-925.171) (-918.757) (-936.525) [-870.333] * (-931.609) (-918.498) (-920.506) [-858.630] -- 0:33:10
122000 -- (-922.777) (-934.122) (-939.026) [-861.056] * (-930.301) (-916.670) (-918.956) [-861.716] -- 0:33:13
123000 -- (-927.164) (-918.720) (-941.716) [-859.745] * (-920.682) (-939.040) (-917.113) [-868.538] -- 0:33:16
124000 -- (-925.385) (-924.790) (-941.704) [-858.119] * (-925.919) (-925.468) (-926.057) [-870.020] -- 0:33:19
125000 -- (-932.918) (-935.915) (-939.876) [-860.316] * (-923.125) (-922.963) (-924.373) [-869.826] -- 0:33:22
Average standard deviation of split frequencies: 0.047835
126000 -- (-922.527) (-948.809) (-939.745) [-855.892] * (-925.165) (-914.340) (-921.338) [-867.930] -- 0:33:24
127000 -- (-931.477) (-925.585) (-946.254) [-862.250] * (-917.651) (-922.919) (-919.071) [-861.197] -- 0:33:27
128000 -- (-924.288) (-925.717) (-952.830) [-866.510] * (-928.443) (-920.357) (-921.937) [-858.313] -- 0:33:29
129000 -- (-935.742) (-926.687) (-938.229) [-875.517] * (-924.307) (-915.524) (-924.338) [-869.963] -- 0:33:32
130000 -- (-927.296) (-935.378) (-938.522) [-857.798] * (-931.405) (-915.080) (-918.944) [-867.925] -- 0:33:34
Average standard deviation of split frequencies: 0.047533
131000 -- (-927.275) (-931.068) (-945.469) [-864.099] * (-929.938) (-920.246) (-917.512) [-872.434] -- 0:33:29
132000 -- (-922.753) (-934.154) (-934.807) [-855.964] * (-934.518) (-917.105) (-921.323) [-867.128] -- 0:33:32
133000 -- (-934.855) (-928.397) (-931.733) [-857.188] * (-944.696) (-917.843) (-935.263) [-854.520] -- 0:33:34
134000 -- (-929.564) (-924.428) (-942.515) [-861.637] * (-936.375) (-916.018) (-922.527) [-860.033] -- 0:33:36
135000 -- (-927.230) (-927.053) (-934.264) [-866.238] * (-930.265) (-916.111) (-924.095) [-865.138] -- 0:33:38
Average standard deviation of split frequencies: 0.045742
136000 -- (-930.523) (-929.409) (-927.176) [-865.826] * (-937.056) (-915.935) (-926.265) [-868.895] -- 0:33:40
137000 -- (-912.529) (-931.342) (-939.768) [-860.229] * (-941.524) (-925.216) (-910.998) [-861.313] -- 0:33:42
138000 -- (-920.841) (-930.980) (-940.764) [-868.415] * (-946.027) (-914.884) (-926.573) [-862.979] -- 0:33:43
139000 -- (-917.629) (-924.931) (-937.607) [-874.903] * (-939.393) (-911.753) (-918.809) [-870.045] -- 0:33:39
140000 -- (-928.975) (-926.348) (-937.074) [-865.966] * (-929.818) (-914.268) (-921.994) [-867.974] -- 0:33:41
Average standard deviation of split frequencies: 0.047465
141000 -- (-935.116) (-930.635) (-922.572) [-860.608] * (-928.627) (-908.667) (-914.122) [-874.899] -- 0:33:42
142000 -- (-921.032) (-933.486) (-937.496) [-864.194] * (-917.294) (-916.993) (-917.641) [-868.291] -- 0:33:44
143000 -- (-931.253) (-920.509) (-921.671) [-869.701] * (-922.535) (-914.250) (-921.745) [-863.146] -- 0:33:45
144000 -- (-927.231) (-932.628) (-913.829) [-874.163] * (-927.534) (-925.227) (-919.704) [-867.105] -- 0:33:47
145000 -- (-936.019) (-929.290) (-917.406) [-867.000] * (-938.254) (-926.323) (-925.459) [-872.258] -- 0:33:48
Average standard deviation of split frequencies: 0.045966
146000 -- (-935.267) (-923.854) (-932.023) [-867.331] * (-921.323) (-930.418) (-923.151) [-871.289] -- 0:33:49
147000 -- (-933.715) (-921.713) (-935.216) [-855.920] * (-925.669) (-922.021) (-917.703) [-870.614] -- 0:33:50
148000 -- (-930.062) (-922.247) (-949.822) [-859.238] * (-921.368) (-935.272) (-911.746) [-869.803] -- 0:33:52
149000 -- (-915.682) (-920.215) (-935.139) [-864.835] * (-917.943) (-924.145) (-918.620) [-870.554] -- 0:33:53
150000 -- (-924.079) (-917.398) (-930.663) [-867.169] * (-921.967) (-931.953) (-921.350) [-866.981] -- 0:33:54
Average standard deviation of split frequencies: 0.043917
151000 -- (-936.135) (-914.685) (-935.213) [-875.930] * (-926.303) (-929.267) (-920.943) [-873.594] -- 0:33:49
152000 -- (-942.985) (-906.510) (-952.880) [-877.521] * (-915.740) (-924.123) (-908.024) [-871.799] -- 0:33:50
153000 -- (-929.623) (-906.844) (-942.006) [-870.923] * (-915.403) (-921.922) (-910.267) [-873.461] -- 0:33:51
154000 -- (-929.087) (-920.095) (-925.278) [-872.718] * (-931.141) (-927.353) (-902.037) [-883.294] -- 0:33:52
155000 -- (-924.425) (-922.323) (-928.036) [-864.219] * (-931.620) (-922.416) (-902.548) [-886.659] -- 0:33:53
Average standard deviation of split frequencies: 0.042525
156000 -- (-922.392) (-935.520) (-920.659) [-862.272] * (-927.940) (-925.608) (-909.510) [-874.404] -- 0:33:54
157000 -- (-922.467) (-934.104) (-926.410) [-870.086] * (-929.491) (-930.127) (-917.951) [-880.144] -- 0:33:55
158000 -- (-921.003) (-924.323) (-931.454) [-859.405] * (-925.659) (-934.044) (-919.277) [-884.287] -- 0:33:55
159000 -- (-926.541) (-917.403) (-920.499) [-866.511] * (-917.048) (-934.299) (-916.984) [-876.875] -- 0:33:56
160000 -- (-932.816) (-920.536) (-925.202) [-869.422] * (-941.565) (-944.937) (-932.964) [-875.167] -- 0:33:51
Average standard deviation of split frequencies: 0.043424
161000 -- (-925.685) (-933.296) (-926.934) [-867.879] * (-951.544) (-933.182) (-926.248) [-882.119] -- 0:33:52
162000 -- (-944.074) (-933.322) (-930.373) [-870.834] * (-937.984) (-929.883) (-926.601) [-873.531] -- 0:33:52
163000 -- (-934.273) (-932.547) (-954.900) [-856.391] * (-949.837) (-926.439) (-923.808) [-866.914] -- 0:33:53
164000 -- (-932.198) (-928.307) (-935.155) [-874.213] * (-947.965) (-930.006) (-916.507) [-868.479] -- 0:33:53
165000 -- (-931.619) (-922.784) (-935.481) [-868.690] * (-943.331) (-939.324) (-926.962) [-866.980] -- 0:33:49
Average standard deviation of split frequencies: 0.043526
166000 -- (-937.894) (-921.189) (-940.258) [-856.306] * (-928.486) (-928.201) (-921.729) [-876.782] -- 0:33:49
167000 -- (-924.293) (-914.829) (-929.856) [-860.933] * (-924.421) (-935.916) (-917.213) [-874.501] -- 0:33:50
168000 -- (-927.550) (-920.557) (-926.425) [-872.090] * (-938.392) (-936.205) (-920.667) [-876.482] -- 0:33:50
169000 -- (-927.683) (-922.521) (-922.983) [-867.677] * (-923.645) (-924.230) (-921.052) [-871.111] -- 0:33:45
170000 -- (-938.423) (-910.701) (-925.809) [-863.888] * (-926.476) (-926.860) (-919.984) [-859.781] -- 0:33:46
Average standard deviation of split frequencies: 0.041483
171000 -- (-941.248) (-918.459) (-933.099) [-869.302] * (-930.545) (-921.385) (-927.629) [-863.009] -- 0:33:41
172000 -- (-929.634) (-915.271) (-925.166) [-869.318] * (-922.759) (-925.514) (-923.228) [-866.402] -- 0:33:37
173000 -- (-938.471) (-924.236) (-924.800) [-867.100] * (-927.568) (-925.988) (-926.054) [-870.296] -- 0:33:32
174000 -- (-946.357) (-929.224) (-946.917) [-858.404] * (-930.084) (-922.829) (-921.901) [-865.857] -- 0:33:28
175000 -- (-928.948) (-924.847) (-947.755) [-864.107] * (-916.537) (-927.359) (-924.644) [-873.983] -- 0:33:23
Average standard deviation of split frequencies: 0.039772
176000 -- (-933.771) (-924.364) (-930.883) [-869.280] * (-927.699) (-923.791) (-938.565) [-869.138] -- 0:33:19
177000 -- (-922.025) (-920.746) (-926.497) [-867.281] * (-934.192) (-917.960) (-939.189) [-878.412] -- 0:33:14
178000 -- (-929.528) (-928.437) (-930.306) [-858.721] * (-921.851) (-926.929) (-935.063) [-875.464] -- 0:33:14
179000 -- (-938.588) (-936.891) (-917.235) [-878.287] * (-936.947) (-926.218) (-940.556) [-881.736] -- 0:33:15
180000 -- (-942.933) (-929.919) (-928.090) [-871.573] * (-936.678) (-936.687) (-924.241) [-874.098] -- 0:33:10
Average standard deviation of split frequencies: 0.039483
181000 -- (-913.183) (-924.841) (-928.477) [-861.659] * (-947.993) (-922.074) (-907.814) [-876.775] -- 0:33:10
182000 -- (-914.176) (-926.075) (-936.074) [-866.071] * (-941.676) (-933.944) (-913.982) [-865.905] -- 0:33:06
183000 -- (-932.395) (-912.056) (-931.833) [-871.032] * (-940.310) (-913.406) (-919.405) [-863.961] -- 0:33:06
184000 -- (-917.244) (-905.227) (-932.429) [-866.998] * (-934.957) (-906.243) (-923.755) [-867.170] -- 0:33:02
185000 -- (-919.927) (-910.120) (-935.194) [-866.952] * (-947.347) (-906.495) (-919.513) [-868.634] -- 0:32:58
Average standard deviation of split frequencies: 0.038399
186000 -- (-924.666) (-912.469) (-928.280) [-874.441] * (-944.448) (-911.417) (-911.940) [-877.078] -- 0:32:53
187000 -- (-922.497) (-930.980) (-930.515) [-862.180] * (-937.003) (-911.710) (-922.923) [-877.477] -- 0:32:49
188000 -- (-928.377) (-937.703) (-931.980) [-857.319] * (-935.950) (-914.778) (-914.595) [-880.039] -- 0:32:45
189000 -- (-921.717) (-918.444) (-924.730) [-854.560] * (-933.296) (-923.691) (-923.864) [-889.231] -- 0:32:40
190000 -- (-929.489) (-918.980) (-925.685) [-858.727] * (-931.262) (-921.476) (-919.206) [-889.569] -- 0:32:36
Average standard deviation of split frequencies: 0.036573
191000 -- (-928.188) (-921.112) (-939.270) [-859.959] * (-933.659) (-925.454) (-936.260) [-889.653] -- 0:32:32
192000 -- (-933.699) (-934.721) (-932.223) [-866.474] * (-926.595) (-918.616) (-923.190) [-885.181] -- 0:32:32
193000 -- (-943.824) (-944.920) (-933.637) [-863.401] * (-932.721) (-930.069) (-924.577) [-887.078] -- 0:32:32
194000 -- (-964.068) (-939.300) (-928.909) [-868.561] * (-936.450) (-931.306) (-923.633) [-860.778] -- 0:32:32
195000 -- (-952.380) (-928.199) (-934.521) [-867.744] * (-922.390) (-930.058) (-922.879) [-868.633] -- 0:32:28
Average standard deviation of split frequencies: 0.036216
196000 -- (-947.422) (-939.211) (-925.971) [-859.836] * (-920.968) (-937.814) (-920.425) [-865.381] -- 0:32:24
197000 -- (-936.533) (-929.530) (-935.443) [-875.511] * (-927.878) (-932.681) (-916.754) [-870.098] -- 0:32:20
198000 -- (-939.633) (-946.894) (-937.149) [-878.736] * (-933.149) (-920.963) (-921.066) [-868.361] -- 0:32:16
199000 -- (-941.030) (-926.883) (-923.506) [-871.613] * (-922.371) (-909.817) (-921.089) [-868.087] -- 0:32:12
200000 -- (-935.518) (-938.624) (-934.270) [-877.890] * (-921.274) (-905.851) (-927.809) [-871.456] -- 0:32:07
Average standard deviation of split frequencies: 0.034018
201000 -- (-949.607) (-938.969) (-927.262) [-885.111] * (-930.800) (-907.263) (-931.504) [-864.920] -- 0:32:03
202000 -- (-944.857) (-924.869) (-927.306) [-880.089] * (-932.833) (-919.722) (-916.021) [-883.716] -- 0:31:59
203000 -- (-920.762) (-930.189) (-933.628) [-869.674] * (-929.518) (-919.156) (-930.373) [-876.154] -- 0:31:55
204000 -- (-924.629) (-923.221) (-941.898) [-873.625] * (-925.418) (-917.352) (-928.758) [-881.410] -- 0:31:51
205000 -- (-920.431) (-923.205) (-933.380) [-879.144] * (-934.307) (-918.720) (-924.926) [-879.222] -- 0:31:47
Average standard deviation of split frequencies: 0.033817
206000 -- (-927.825) (-916.697) (-930.012) [-872.071] * (-946.715) (-910.112) (-918.874) [-879.498] -- 0:31:44
207000 -- (-939.783) (-925.522) (-922.037) [-877.481] * (-939.225) (-910.501) (-919.963) [-883.840] -- 0:31:40
208000 -- (-932.974) (-918.536) (-934.269) [-875.454] * (-946.703) (-915.052) (-929.893) [-885.381] -- 0:31:36
209000 -- (-937.778) (-916.182) (-926.069) [-878.986] * (-950.335) (-909.002) (-911.825) [-874.079] -- 0:31:32
210000 -- (-939.077) (-913.037) (-927.833) [-875.369] * (-945.758) (-908.138) (-912.574) [-884.044] -- 0:31:28
Average standard deviation of split frequencies: 0.034560
211000 -- (-947.747) (-916.193) (-931.637) [-880.648] * (-948.863) (-913.550) (-918.353) [-881.761] -- 0:31:24
212000 -- (-949.381) (-912.695) (-930.459) [-877.001] * (-956.904) (-913.765) (-916.952) [-884.165] -- 0:31:20
213000 -- (-923.650) (-918.585) (-930.912) [-862.030] * (-953.039) (-916.537) (-922.302) [-877.070] -- 0:31:16
214000 -- (-925.606) (-914.940) (-927.552) [-864.019] * (-944.471) (-906.416) (-915.176) [-878.658] -- 0:31:13
215000 -- (-939.526) (-922.119) (-930.937) [-865.162] * (-928.925) (-922.070) (-918.517) [-872.772] -- 0:31:09
Average standard deviation of split frequencies: 0.036744
216000 -- (-952.804) (-922.776) (-933.741) [-868.712] * (-926.004) (-918.174) (-921.462) [-877.787] -- 0:31:05
217000 -- (-955.829) (-920.987) (-932.017) [-863.711] * (-930.832) (-920.781) (-908.560) [-872.726] -- 0:31:01
218000 -- (-946.073) (-920.382) (-933.200) [-867.199] * (-940.313) (-922.872) (-911.775) [-873.815] -- 0:30:58
219000 -- (-939.949) (-924.784) (-931.637) [-866.889] * (-937.423) (-913.928) (-905.742) [-873.285] -- 0:30:54
220000 -- (-942.544) (-916.788) (-938.906) [-868.206] * (-933.903) (-914.201) (-903.008) [-865.668] -- 0:30:50
Average standard deviation of split frequencies: 0.038532
221000 -- (-940.302) (-917.808) (-943.230) [-872.462] * (-934.566) (-913.691) (-904.229) [-861.688] -- 0:30:47
222000 -- (-927.615) (-919.282) (-931.898) [-866.693] * (-943.936) (-908.725) (-904.641) [-878.945] -- 0:30:43
223000 -- (-929.220) (-927.646) (-940.898) [-882.358] * (-941.321) (-914.586) (-909.360) [-868.585] -- 0:30:39
224000 -- (-928.984) (-913.762) (-950.354) [-877.522] * (-936.950) (-917.059) (-913.148) [-860.601] -- 0:30:36
225000 -- (-920.232) (-907.545) (-931.234) [-869.283] * (-937.443) (-905.741) (-905.603) [-866.914] -- 0:30:32
Average standard deviation of split frequencies: 0.039593
226000 -- (-903.893) (-917.776) (-930.666) [-871.918] * (-937.740) (-920.409) (-906.277) [-871.183] -- 0:30:28
227000 -- (-909.643) (-919.435) (-933.207) [-868.381] * (-938.175) (-920.520) (-905.487) [-864.606] -- 0:30:25
228000 -- (-920.308) (-909.543) (-935.547) [-869.256] * (-931.246) (-927.618) (-906.600) [-868.069] -- 0:30:21
229000 -- (-911.429) (-917.997) (-927.228) [-868.213] * (-930.066) (-918.037) (-907.753) [-866.490] -- 0:30:18
230000 -- (-924.482) (-925.952) (-932.139) [-873.017] * (-925.799) (-905.572) (-909.361) [-865.736] -- 0:30:14
Average standard deviation of split frequencies: 0.040343
231000 -- (-924.891) (-930.681) (-955.935) [-874.980] * (-925.572) (-906.091) (-910.734) [-873.953] -- 0:30:07
232000 -- (-925.161) (-937.002) (-934.449) [-876.239] * (-926.854) (-912.417) (-908.465) [-867.542] -- 0:30:04
233000 -- (-924.456) (-939.983) (-931.575) [-869.724] * (-921.866) (-921.557) (-916.164) [-873.795] -- 0:30:03
234000 -- (-934.276) (-934.272) (-931.747) [-869.229] * (-927.183) (-913.325) (-914.431) [-864.964] -- 0:30:00
235000 -- (-927.308) (-923.318) (-931.521) [-870.265] * (-920.036) (-916.852) (-914.301) [-850.065] -- 0:29:56
Average standard deviation of split frequencies: 0.040467
236000 -- (-927.295) (-920.280) (-925.088) [-881.991] * (-909.834) (-917.245) (-902.319) [-856.359] -- 0:29:50
237000 -- (-929.490) (-916.859) (-942.309) [-880.270] * (-917.078) (-917.974) (-904.407) [-855.639] -- 0:29:49
238000 -- (-925.667) (-930.586) (-941.344) [-873.238] * (-905.587) (-920.394) (-932.808) [-861.432] -- 0:29:46
239000 -- (-921.747) (-928.252) (-932.883) [-864.132] * (-915.481) (-931.496) (-921.582) [-869.606] -- 0:29:43
240000 -- (-912.590) (-926.494) (-926.196) [-870.187] * (-904.440) (-927.796) (-917.966) [-861.507] -- 0:29:39
Average standard deviation of split frequencies: 0.039766
241000 -- (-916.862) (-931.430) (-923.227) [-870.827] * (-909.154) (-923.244) (-905.119) [-868.417] -- 0:29:39
242000 -- (-927.231) (-921.419) (-929.984) [-870.549] * (-910.398) (-928.452) (-908.686) [-869.382] -- 0:29:39
243000 -- (-936.067) (-922.046) (-932.893) [-871.483] * (-909.954) (-919.611) (-911.430) [-870.634] -- 0:29:35
244000 -- (-930.898) (-937.778) (-929.860) [-857.558] * (-908.984) (-918.810) (-910.733) [-868.528] -- 0:29:35
245000 -- (-923.572) (-930.249) (-928.659) [-869.181] * (-913.291) (-917.023) (-911.066) [-872.524] -- 0:29:35
Average standard deviation of split frequencies: 0.038506
246000 -- (-933.360) (-925.417) (-936.564) [-870.309] * (-914.771) (-918.709) (-914.658) [-860.853] -- 0:29:34
247000 -- (-926.834) (-936.589) (-932.653) [-872.506] * (-904.844) (-905.080) (-917.914) [-862.723] -- 0:29:34
248000 -- (-928.960) (-936.116) (-938.595) [-877.100] * (-913.704) (-913.023) (-923.484) [-863.535] -- 0:29:30
249000 -- (-927.658) (-945.604) (-942.063) [-863.470] * (-914.601) (-934.783) (-931.969) [-870.325] -- 0:29:30
250000 -- (-910.873) (-927.790) (-930.388) [-860.890] * (-915.017) (-936.102) (-924.744) [-863.648] -- 0:29:30
Average standard deviation of split frequencies: 0.037009
251000 -- (-927.210) (-928.404) (-929.037) [-867.632] * (-917.779) (-923.418) (-932.353) [-858.474] -- 0:29:29
252000 -- (-926.484) (-932.992) (-934.934) [-868.923] * (-928.887) (-917.101) (-919.702) [-864.470] -- 0:29:29
253000 -- (-926.941) (-928.980) (-924.933) [-866.700] * (-926.501) (-930.119) (-923.839) [-874.376] -- 0:29:28
254000 -- (-923.097) (-921.335) (-934.779) [-869.852] * (-930.766) (-922.032) (-931.535) [-877.671] -- 0:29:28
255000 -- (-922.907) (-919.130) (-933.881) [-875.378] * (-933.909) (-921.830) (-926.260) [-880.158] -- 0:29:24
Average standard deviation of split frequencies: 0.036724
256000 -- (-921.421) (-923.600) (-939.729) [-865.681] * (-929.293) (-925.590) (-926.851) [-878.973] -- 0:29:24
257000 -- (-920.493) (-924.247) (-949.777) [-863.415] * (-938.310) (-929.500) (-920.248) [-876.177] -- 0:29:23
258000 -- (-918.886) (-929.125) (-940.232) [-867.503] * (-935.069) (-930.810) (-924.335) [-867.679] -- 0:29:22
259000 -- (-923.841) (-920.355) (-938.520) [-877.169] * (-927.087) (-927.457) (-935.561) [-867.434] -- 0:29:22
260000 -- (-919.620) (-928.405) (-941.467) [-876.983] * (-945.231) (-928.010) (-934.516) [-868.028] -- 0:29:21
Average standard deviation of split frequencies: 0.036827
261000 -- (-910.253) (-923.845) (-934.449) [-868.076] * (-930.955) (-926.186) (-919.914) [-865.355] -- 0:29:21
262000 -- (-913.004) (-923.714) (-920.202) [-876.082] * (-922.390) (-922.937) (-919.750) [-869.950] -- 0:29:17
263000 -- (-906.500) (-920.788) (-930.389) [-868.514] * (-934.866) (-918.528) (-912.272) [-874.830] -- 0:29:17
264000 -- (-926.371) (-927.789) (-939.004) [-871.562] * (-928.663) (-926.269) (-932.384) [-877.146] -- 0:29:16
265000 -- (-923.822) (-923.202) (-935.671) [-869.217] * (-933.205) (-922.672) (-933.654) [-871.867] -- 0:29:12
Average standard deviation of split frequencies: 0.037796
266000 -- (-912.888) (-925.228) (-943.209) [-872.093] * (-939.141) (-919.488) (-930.504) [-861.421] -- 0:29:09
267000 -- (-924.165) (-927.840) (-932.899) [-880.449] * (-930.683) (-924.896) (-919.923) [-866.190] -- 0:29:06
268000 -- (-917.566) (-928.593) (-935.092) [-871.165] * (-924.551) (-912.156) (-919.256) [-868.125] -- 0:29:02
269000 -- (-926.351) (-934.338) (-931.123) [-877.131] * (-922.386) (-911.132) (-915.231) [-866.087] -- 0:28:59
270000 -- (-926.013) (-937.432) (-939.896) [-871.907] * (-910.602) (-924.628) (-936.901) [-865.539] -- 0:28:55
Average standard deviation of split frequencies: 0.038284
271000 -- (-932.701) (-941.867) (-940.572) [-872.531] * (-923.219) (-915.826) (-939.305) [-875.124] -- 0:28:52
272000 -- (-925.297) (-950.841) (-926.911) [-872.529] * (-921.300) (-917.874) (-933.366) [-872.013] -- 0:28:51
273000 -- (-933.625) (-945.959) (-939.319) [-875.760] * (-936.525) (-916.537) (-924.349) [-866.629] -- 0:28:48
274000 -- (-923.587) (-940.175) (-943.633) [-874.908] * (-925.998) (-909.278) (-928.985) [-868.531] -- 0:28:47
275000 -- (-919.847) (-951.523) (-934.280) [-873.874] * (-923.366) (-922.918) (-940.778) [-870.894] -- 0:28:46
Average standard deviation of split frequencies: 0.039347
276000 -- (-935.168) (-954.004) (-927.185) [-871.205] * (-928.348) (-920.730) (-928.293) [-861.814] -- 0:28:46
277000 -- (-931.796) (-940.497) (-929.195) [-864.736] * (-912.166) (-926.053) (-944.535) [-876.401] -- 0:28:45
278000 -- (-920.766) (-937.725) (-929.676) [-866.557] * (-916.775) (-912.324) (-935.205) [-863.758] -- 0:28:44
279000 -- (-920.912) (-926.035) (-937.288) [-868.063] * (-918.160) (-913.454) (-939.936) [-863.684] -- 0:28:43
280000 -- (-922.404) (-924.287) (-937.451) [-870.589] * (-905.605) (-920.392) (-929.287) [-858.061] -- 0:28:40
Average standard deviation of split frequencies: 0.038942
281000 -- (-917.804) (-922.173) (-925.503) [-865.877] * (-920.050) (-905.777) (-928.107) [-861.669] -- 0:28:39
282000 -- (-931.214) (-917.636) (-918.156) [-868.830] * (-925.288) (-899.656) (-932.745) [-861.714] -- 0:28:38
283000 -- (-923.804) (-931.689) (-922.738) [-875.000] * (-917.030) (-895.484) (-923.713) [-860.591] -- 0:28:37
284000 -- (-923.668) (-925.156) (-923.059) [-875.582] * (-936.310) (-906.607) (-929.124) [-866.546] -- 0:28:36
285000 -- (-927.120) (-922.260) (-916.441) [-878.334] * (-932.288) (-911.721) (-934.989) [-867.190] -- 0:28:35
Average standard deviation of split frequencies: 0.038221
286000 -- (-924.253) (-925.974) (-921.910) [-879.094] * (-928.330) (-906.443) (-935.193) [-868.552] -- 0:28:35
287000 -- (-922.256) (-938.585) (-913.888) [-878.248] * (-926.034) (-913.489) (-956.766) [-869.224] -- 0:28:34
288000 -- (-918.397) (-931.929) (-913.524) [-875.697] * (-923.674) (-917.281) (-926.309) [-875.724] -- 0:28:30
289000 -- (-926.757) (-925.450) (-916.090) [-877.086] * (-929.780) (-911.259) (-914.501) [-875.430] -- 0:28:29
290000 -- (-913.804) (-930.045) (-913.196) [-868.389] * (-939.151) (-916.069) (-924.009) [-864.593] -- 0:28:28
Average standard deviation of split frequencies: 0.036751
291000 -- (-921.360) (-931.190) (-915.708) [-871.735] * (-935.962) (-926.396) (-912.644) [-867.620] -- 0:28:27
292000 -- (-926.524) (-936.553) (-910.689) [-878.134] * (-926.166) (-924.620) (-918.891) [-865.042] -- 0:28:26
293000 -- (-934.345) (-912.829) (-924.437) [-881.693] * (-917.573) (-931.046) (-917.546) [-864.984] -- 0:28:23
294000 -- (-936.114) (-927.472) (-928.110) [-869.816] * (-932.567) (-935.088) (-922.224) [-865.358] -- 0:28:22
295000 -- (-930.040) (-938.013) (-918.122) [-874.006] * (-929.522) (-937.299) (-925.931) [-867.691] -- 0:28:21
Average standard deviation of split frequencies: 0.035277
296000 -- (-931.430) (-931.807) (-924.293) [-874.858] * (-921.475) (-927.072) (-932.624) [-871.647] -- 0:28:20
297000 -- (-931.564) (-930.592) (-921.626) [-877.836] * (-928.569) (-919.974) (-933.631) [-864.191] -- 0:28:19
298000 -- (-919.555) (-923.347) (-918.859) [-870.613] * (-926.453) (-918.015) (-921.163) [-868.487] -- 0:28:18
299000 -- (-914.463) (-939.423) (-931.190) [-870.735] * (-932.619) (-913.139) (-916.744) [-866.815] -- 0:28:15
300000 -- (-932.864) (-931.803) (-930.793) [-868.451] * (-928.345) (-913.666) (-912.131) [-866.860] -- 0:28:14
Average standard deviation of split frequencies: 0.035144
301000 -- (-925.672) (-932.977) (-931.635) [-862.088] * (-928.500) (-912.653) (-906.366) [-859.887] -- 0:28:12
302000 -- (-915.933) (-925.069) (-940.092) [-867.722] * (-920.728) (-917.305) (-916.076) [-862.401] -- 0:28:11
303000 -- (-922.966) (-925.066) (-938.934) [-865.681] * (-924.070) (-918.801) (-913.317) [-866.129] -- 0:28:10
304000 -- (-911.963) (-932.441) (-931.654) [-867.602] * (-936.473) (-912.501) (-926.790) [-864.498] -- 0:28:09
305000 -- (-927.898) (-933.632) (-937.493) [-866.177] * (-933.809) (-915.286) (-917.647) [-863.972] -- 0:28:08
Average standard deviation of split frequencies: 0.034444
306000 -- (-913.180) (-945.065) (-935.790) [-874.111] * (-927.537) (-915.566) (-916.511) [-856.007] -- 0:28:07
307000 -- (-907.321) (-934.162) (-926.200) [-863.752] * (-926.783) (-918.998) (-930.004) [-872.835] -- 0:28:06
308000 -- (-919.373) (-934.903) (-929.519) [-871.735] * (-937.549) (-920.024) (-937.288) [-857.280] -- 0:28:02
309000 -- (-921.102) (-943.723) (-930.376) [-872.661] * (-937.324) (-918.465) (-923.122) [-855.353] -- 0:28:01
310000 -- (-916.971) (-947.362) (-938.497) [-868.687] * (-935.251) (-920.966) (-912.550) [-852.364] -- 0:28:00
Average standard deviation of split frequencies: 0.033720
311000 -- (-918.804) (-923.467) (-951.378) [-860.924] * (-942.846) (-916.963) (-911.940) [-855.565] -- 0:27:59
312000 -- (-926.295) (-918.325) (-939.908) [-869.138] * (-930.003) (-912.627) (-917.023) [-856.741] -- 0:27:58
313000 -- (-917.037) (-919.480) (-937.483) [-870.172] * (-937.478) (-911.678) (-912.551) [-858.301] -- 0:27:56
314000 -- (-912.384) (-920.039) (-927.640) [-873.401] * (-939.834) (-907.212) (-918.243) [-865.864] -- 0:27:55
315000 -- (-916.698) (-926.384) (-925.472) [-870.216] * (-927.758) (-916.395) (-918.608) [-864.508] -- 0:27:54
Average standard deviation of split frequencies: 0.033467
316000 -- (-918.832) (-931.699) (-932.895) [-862.248] * (-933.518) (-915.745) (-925.509) [-860.141] -- 0:27:53
317000 -- (-928.376) (-934.755) (-927.802) [-862.159] * (-928.803) (-906.928) (-916.285) [-849.899] -- 0:27:49
318000 -- (-928.431) (-922.898) (-922.899) [-861.993] * (-931.939) (-917.513) (-928.447) [-864.631] -- 0:27:48
319000 -- (-925.127) (-912.650) (-913.704) [-869.416] * (-933.482) (-909.494) (-916.492) [-867.952] -- 0:27:47
320000 -- (-936.893) (-907.664) (-920.322) [-859.149] * (-935.495) (-918.585) (-922.864) [-864.175] -- 0:27:43
Average standard deviation of split frequencies: 0.033007
321000 -- (-926.913) (-900.013) (-918.563) [-866.163] * (-928.940) (-911.547) (-910.772) [-873.338] -- 0:27:42
322000 -- (-918.263) (-901.086) (-916.992) [-870.700] * (-926.794) (-906.001) (-918.382) [-886.618] -- 0:27:41
323000 -- (-918.247) (-922.924) (-927.586) [-882.327] * (-924.494) (-915.862) (-922.685) [-873.779] -- 0:27:37
324000 -- (-920.806) (-918.402) (-930.575) [-872.602] * (-921.645) (-925.110) (-925.121) [-864.094] -- 0:27:34
325000 -- (-930.430) (-923.035) (-942.881) [-879.884] * (-933.919) (-913.531) (-923.334) [-866.443] -- 0:27:31
Average standard deviation of split frequencies: 0.031786
326000 -- (-918.113) (-922.382) (-929.449) [-882.850] * (-927.245) (-914.360) (-915.516) [-875.400] -- 0:27:27
327000 -- (-918.358) (-929.566) (-922.306) [-880.874] * (-940.556) (-906.842) (-911.366) [-876.191] -- 0:27:24
328000 -- (-930.029) (-948.970) (-924.948) [-874.005] * (-930.444) (-922.293) (-909.926) [-876.282] -- 0:27:21
329000 -- (-918.268) (-917.795) (-926.883) [-869.875] * (-927.363) (-934.173) (-915.204) [-871.751] -- 0:27:17
330000 -- (-917.391) (-920.333) (-925.189) [-863.093] * (-922.047) (-924.697) (-913.430) [-874.607] -- 0:27:14
Average standard deviation of split frequencies: 0.032036
331000 -- (-919.365) (-914.996) (-924.951) [-864.512] * (-932.604) (-924.824) (-923.470) [-867.790] -- 0:27:11
332000 -- (-922.791) (-918.406) (-937.182) [-857.800] * (-938.069) (-925.335) (-916.673) [-867.399] -- 0:27:07
333000 -- (-913.826) (-927.525) (-920.796) [-862.924] * (-932.072) (-925.877) (-917.665) [-867.470] -- 0:27:04
334000 -- (-920.150) (-916.737) (-929.487) [-867.731] * (-935.073) (-926.889) (-921.597) [-866.846] -- 0:26:59
335000 -- (-922.789) (-913.752) (-921.865) [-861.309] * (-924.169) (-919.405) (-924.111) [-876.995] -- 0:26:55
Average standard deviation of split frequencies: 0.031459
336000 -- (-926.110) (-913.963) (-929.567) [-858.144] * (-939.085) (-924.648) (-922.529) [-875.590] -- 0:26:52
337000 -- (-928.388) (-914.943) (-936.555) [-859.618] * (-951.876) (-908.566) (-913.407) [-876.084] -- 0:26:51
338000 -- (-929.067) (-923.615) (-924.010) [-868.892] * (-953.064) (-911.463) (-907.073) [-879.648] -- 0:26:47
339000 -- (-919.879) (-924.158) (-928.190) [-855.789] * (-942.437) (-919.896) (-910.520) [-885.249] -- 0:26:44
340000 -- (-921.643) (-921.681) (-921.136) [-863.704] * (-952.811) (-907.470) (-925.537) [-874.691] -- 0:26:41
Average standard deviation of split frequencies: 0.031028
341000 -- (-920.482) (-926.416) (-927.067) [-866.953] * (-939.891) (-914.468) (-919.130) [-870.499] -- 0:26:38
342000 -- (-922.487) (-938.820) (-933.533) [-868.000] * (-940.934) (-916.315) (-913.296) [-861.591] -- 0:26:34
343000 -- (-927.335) (-927.518) (-941.641) [-875.930] * (-931.177) (-921.299) (-918.058) [-861.769] -- 0:26:31
344000 -- (-932.440) (-934.859) (-926.466) [-873.129] * (-934.800) (-935.993) (-911.190) [-868.745] -- 0:26:28
345000 -- (-919.028) (-923.430) (-921.024) [-863.751] * (-936.729) (-927.480) (-918.044) [-862.746] -- 0:26:25
Average standard deviation of split frequencies: 0.031022
346000 -- (-919.625) (-922.115) (-930.060) [-861.832] * (-936.223) (-923.164) (-919.323) [-856.409] -- 0:26:22
347000 -- (-922.795) (-916.296) (-924.317) [-872.085] * (-936.900) (-930.728) (-917.399) [-867.059] -- 0:26:18
348000 -- (-927.818) (-926.156) (-932.085) [-867.718] * (-936.689) (-919.649) (-916.200) [-869.438] -- 0:26:15
349000 -- (-930.458) (-913.255) (-931.278) [-867.322] * (-931.876) (-921.517) (-915.950) [-864.488] -- 0:26:12
350000 -- (-927.569) (-908.181) (-940.385) [-862.352] * (-917.283) (-930.191) (-916.308) [-864.508] -- 0:26:09
Average standard deviation of split frequencies: 0.029601
351000 -- (-929.793) (-918.447) (-934.349) [-865.321] * (-923.887) (-933.418) (-907.589) [-865.603] -- 0:26:06
352000 -- (-948.049) (-913.428) (-928.675) [-869.108] * (-932.216) (-933.741) (-923.001) [-873.443] -- 0:26:04
353000 -- (-925.595) (-904.532) (-935.439) [-871.277] * (-930.684) (-932.390) (-922.579) [-869.879] -- 0:26:01
354000 -- (-925.463) (-913.023) (-946.778) [-866.761] * (-943.636) (-948.091) (-915.656) [-865.361] -- 0:26:00
355000 -- (-928.322) (-917.899) (-941.886) [-855.061] * (-926.253) (-944.479) (-910.518) [-873.656] -- 0:25:58
Average standard deviation of split frequencies: 0.028632
356000 -- (-929.799) (-925.177) (-932.626) [-858.827] * (-926.754) (-944.502) (-916.848) [-873.117] -- 0:25:57
357000 -- (-918.042) (-927.844) (-925.691) [-867.060] * (-928.152) (-926.676) (-915.484) [-871.343] -- 0:25:56
358000 -- (-938.707) (-927.662) (-943.353) [-868.538] * (-935.587) (-941.523) (-917.405) [-866.759] -- 0:25:54
359000 -- (-921.562) (-917.279) (-948.523) [-867.540] * (-924.290) (-935.454) (-920.535) [-871.572] -- 0:25:51
360000 -- (-905.532) (-923.433) (-933.998) [-872.418] * (-919.918) (-929.044) (-927.341) [-880.992] -- 0:25:50
Average standard deviation of split frequencies: 0.028629
361000 -- (-907.263) (-931.964) (-921.403) [-866.275] * (-930.359) (-939.047) (-931.217) [-881.551] -- 0:25:48
362000 -- (-917.773) (-921.299) (-920.811) [-868.737] * (-923.847) (-927.660) (-930.863) [-879.108] -- 0:25:47
363000 -- (-928.995) (-921.352) (-926.878) [-865.171] * (-921.081) (-924.638) (-921.683) [-879.589] -- 0:25:44
364000 -- (-924.034) (-918.829) (-933.236) [-872.583] * (-926.811) (-927.982) (-930.728) [-865.403] -- 0:25:42
365000 -- (-933.237) (-925.482) (-912.736) [-871.157] * (-936.140) (-917.762) (-931.327) [-863.985] -- 0:25:41
Average standard deviation of split frequencies: 0.029401
366000 -- (-929.476) (-927.755) (-921.240) [-869.167] * (-925.549) (-911.631) (-919.146) [-861.363] -- 0:25:39
367000 -- (-915.498) (-927.140) (-927.684) [-872.518] * (-914.909) (-908.324) (-927.310) [-862.411] -- 0:25:38
368000 -- (-921.582) (-922.539) (-933.417) [-862.389] * (-909.558) (-920.929) (-934.976) [-856.970] -- 0:25:37
369000 -- (-926.614) (-915.298) (-937.059) [-855.054] * (-911.204) (-910.147) (-945.649) [-856.124] -- 0:25:35
370000 -- (-933.987) (-921.975) (-931.027) [-860.931] * (-917.746) (-909.300) (-919.129) [-862.348] -- 0:25:34
Average standard deviation of split frequencies: 0.027881
371000 -- (-941.147) (-919.231) (-945.551) [-861.326] * (-913.791) (-907.778) (-925.380) [-861.467] -- 0:25:32
372000 -- (-914.310) (-923.318) (-936.243) [-860.773] * (-923.033) (-901.931) (-922.816) [-867.589] -- 0:25:31
373000 -- (-912.732) (-925.648) (-920.218) [-860.507] * (-917.921) (-900.218) (-927.992) [-871.594] -- 0:25:29
374000 -- (-918.706) (-918.298) (-926.457) [-859.709] * (-915.654) (-911.847) (-933.688) [-868.999] -- 0:25:28
375000 -- (-913.591) (-919.051) (-930.610) [-872.282] * (-917.541) (-923.278) (-919.842) [-865.435] -- 0:25:25
Average standard deviation of split frequencies: 0.026762
376000 -- (-912.497) (-912.139) (-931.283) [-874.872] * (-926.025) (-908.028) (-929.476) [-869.725] -- 0:25:23
377000 -- (-928.687) (-928.427) (-931.916) [-867.197] * (-923.561) (-905.776) (-923.365) [-872.667] -- 0:25:21
378000 -- (-927.676) (-925.508) (-936.744) [-871.239] * (-913.307) (-905.905) (-933.173) [-863.106] -- 0:25:20
379000 -- (-925.760) (-928.795) (-922.401) [-880.326] * (-914.470) (-905.454) (-934.713) [-869.362] -- 0:25:18
380000 -- (-916.897) (-925.934) (-924.795) [-872.597] * (-913.181) (-910.990) (-935.583) [-870.840] -- 0:25:17
Average standard deviation of split frequencies: 0.026753
381000 -- (-911.278) (-918.054) (-935.106) [-875.144] * (-915.474) (-922.065) (-933.310) [-876.220] -- 0:25:15
382000 -- (-915.212) (-915.700) (-943.983) [-863.607] * (-911.207) (-913.796) (-919.544) [-874.157] -- 0:25:14
383000 -- (-911.921) (-918.388) (-940.614) [-861.874] * (-905.009) (-917.852) (-913.259) [-872.047] -- 0:25:11
384000 -- (-925.607) (-917.404) (-931.716) [-871.188] * (-909.598) (-914.135) (-913.618) [-864.709] -- 0:25:09
385000 -- (-916.896) (-912.675) (-932.764) [-877.481] * (-912.662) (-910.793) (-914.698) [-862.925] -- 0:25:07
Average standard deviation of split frequencies: 0.026245
386000 -- (-914.039) (-913.067) (-938.200) [-878.477] * (-914.311) (-900.338) (-922.625) [-872.426] -- 0:25:06
387000 -- (-923.605) (-920.956) (-934.210) [-870.858] * (-913.965) (-909.411) (-905.134) [-862.469] -- 0:25:03
388000 -- (-928.764) (-913.912) (-930.177) [-869.470] * (-925.332) (-919.925) (-910.531) [-869.806] -- 0:25:01
389000 -- (-934.002) (-930.256) (-948.446) [-872.609] * (-932.312) (-918.180) (-914.440) [-865.981] -- 0:25:00
390000 -- (-924.884) (-914.494) (-949.884) [-872.785] * (-931.290) (-930.743) (-908.526) [-866.709] -- 0:24:58
Average standard deviation of split frequencies: 0.025932
391000 -- (-927.582) (-933.416) (-944.997) [-873.315] * (-938.324) (-926.597) (-905.972) [-877.645] -- 0:24:56
392000 -- (-929.559) (-920.495) (-928.001) [-874.177] * (-923.286) (-926.631) (-905.652) [-864.148] -- 0:24:53
393000 -- (-921.896) (-927.846) (-922.913) [-874.010] * (-931.097) (-928.307) (-908.184) [-856.704] -- 0:24:52
394000 -- (-921.267) (-918.412) (-924.686) [-865.115] * (-919.524) (-924.241) (-916.867) [-858.549] -- 0:24:50
395000 -- (-929.229) (-930.833) (-925.851) [-867.008] * (-919.234) (-920.847) (-925.604) [-865.633] -- 0:24:48
Average standard deviation of split frequencies: 0.026510
396000 -- (-920.772) (-935.740) (-922.399) [-871.780] * (-922.104) (-925.870) (-910.510) [-868.769] -- 0:24:48
397000 -- (-928.817) (-935.817) (-924.497) [-873.147] * (-927.975) (-931.835) (-918.879) [-874.318] -- 0:24:45
398000 -- (-922.791) (-934.885) (-927.041) [-866.795] * (-928.819) (-927.536) (-927.853) [-875.648] -- 0:24:43
399000 -- (-914.463) (-941.896) (-937.285) [-872.232] * (-926.502) (-921.086) (-932.163) [-862.742] -- 0:24:42
400000 -- (-912.047) (-928.167) (-944.439) [-865.465] * (-945.329) (-928.435) (-921.172) [-863.267] -- 0:24:40
Average standard deviation of split frequencies: 0.027355
401000 -- (-915.955) (-934.665) (-941.159) [-870.148] * (-917.956) (-929.226) (-932.383) [-863.844] -- 0:24:38
402000 -- (-914.242) (-924.419) (-935.165) [-865.243] * (-916.570) (-928.872) (-925.901) [-876.489] -- 0:24:37
403000 -- (-919.184) (-920.418) (-929.793) [-859.623] * (-919.758) (-930.014) (-919.319) [-878.406] -- 0:24:35
404000 -- (-926.402) (-914.328) (-921.731) [-862.843] * (-922.216) (-923.501) (-923.737) [-858.968] -- 0:24:33
405000 -- (-920.018) (-924.027) (-950.664) [-866.086] * (-915.203) (-926.975) (-927.448) [-873.836] -- 0:24:30
Average standard deviation of split frequencies: 0.028090
406000 -- (-928.507) (-940.661) (-932.565) [-862.997] * (-923.810) (-925.953) (-923.919) [-869.402] -- 0:24:27
407000 -- (-931.215) (-922.509) (-932.239) [-860.137] * (-910.625) (-934.640) (-916.349) [-879.192] -- 0:24:24
408000 -- (-925.420) (-928.925) (-928.404) [-861.055] * (-910.467) (-937.262) (-927.895) [-869.994] -- 0:24:21
409000 -- (-927.552) (-918.257) (-927.939) [-867.156] * (-905.360) (-926.008) (-921.570) [-869.258] -- 0:24:17
410000 -- (-938.772) (-914.120) (-931.746) [-869.844] * (-910.292) (-929.373) (-919.176) [-859.172] -- 0:24:14
Average standard deviation of split frequencies: 0.028022
411000 -- (-925.592) (-922.401) (-936.220) [-872.781] * (-914.090) (-928.062) (-916.922) [-869.290] -- 0:24:11
412000 -- (-927.919) (-934.184) (-934.542) [-865.208] * (-909.726) (-920.699) (-927.857) [-873.372] -- 0:24:08
413000 -- (-923.050) (-927.839) (-930.260) [-869.375] * (-911.916) (-925.587) (-935.829) [-867.147] -- 0:24:05
414000 -- (-925.865) (-932.325) (-921.935) [-873.264] * (-921.874) (-914.963) (-930.427) [-869.104] -- 0:24:00
415000 -- (-919.076) (-933.936) (-939.099) [-857.182] * (-911.147) (-928.922) (-919.776) [-867.629] -- 0:23:57
Average standard deviation of split frequencies: 0.027063
416000 -- (-933.429) (-922.214) (-927.500) [-862.121] * (-914.856) (-937.909) (-912.530) [-877.299] -- 0:23:54
417000 -- (-927.624) (-918.143) (-933.538) [-873.983] * (-913.381) (-926.632) (-923.898) [-876.652] -- 0:23:51
418000 -- (-926.886) (-919.082) (-930.171) [-875.404] * (-916.030) (-940.371) (-933.474) [-876.037] -- 0:23:48
419000 -- (-932.470) (-927.198) (-925.729) [-868.768] * (-904.870) (-937.114) (-924.421) [-882.388] -- 0:23:45
420000 -- (-922.106) (-925.560) (-928.022) [-873.406] * (-910.669) (-945.935) (-915.259) [-873.376] -- 0:23:42
Average standard deviation of split frequencies: 0.027005
421000 -- (-922.449) (-925.262) (-922.021) [-861.158] * (-914.744) (-938.850) (-919.677) [-877.631] -- 0:23:39
422000 -- (-925.831) (-931.301) (-932.639) [-871.683] * (-921.928) (-940.767) (-931.180) [-865.761] -- 0:23:36
423000 -- (-921.453) (-920.921) (-930.532) [-866.872] * (-928.516) (-919.428) (-925.500) [-860.938] -- 0:23:33
424000 -- (-923.884) (-925.361) (-928.948) [-868.168] * (-919.044) (-908.531) (-922.393) [-865.604] -- 0:23:28
425000 -- (-916.808) (-928.985) (-930.021) [-871.574] * (-921.501) (-923.485) (-927.104) [-865.186] -- 0:23:25
Average standard deviation of split frequencies: 0.027771
426000 -- (-938.177) (-940.040) (-938.406) [-885.828] * (-928.830) (-918.963) (-924.563) [-877.062] -- 0:23:22
427000 -- (-922.065) (-924.419) (-932.083) [-879.561] * (-918.098) (-912.423) (-922.400) [-880.365] -- 0:23:19
428000 -- (-933.570) (-916.888) (-926.622) [-875.119] * (-914.261) (-907.771) (-918.497) [-878.672] -- 0:23:16
429000 -- (-927.250) (-924.997) (-931.902) [-882.514] * (-919.983) (-915.507) (-919.878) [-880.667] -- 0:23:13
430000 -- (-926.674) (-912.988) (-933.793) [-871.558] * (-935.281) (-905.575) (-926.817) [-871.821] -- 0:23:10
Average standard deviation of split frequencies: 0.029301
431000 -- (-929.002) (-917.628) (-930.913) [-865.830] * (-937.752) (-898.479) (-923.583) [-869.470] -- 0:23:07
432000 -- (-918.771) (-920.276) (-935.866) [-864.125] * (-943.207) (-915.950) (-945.392) [-869.966] -- 0:23:04
433000 -- (-919.905) (-914.099) (-946.570) [-873.238] * (-930.959) (-921.896) (-929.563) [-869.245] -- 0:23:01
434000 -- (-925.737) (-925.617) (-934.397) [-874.474] * (-933.272) (-910.649) (-938.007) [-869.649] -- 0:22:58
435000 -- (-923.252) (-925.784) (-942.687) [-867.922] * (-933.352) (-916.403) (-932.196) [-861.518] -- 0:22:55
Average standard deviation of split frequencies: 0.029775
436000 -- (-916.126) (-919.583) (-927.185) [-864.647] * (-927.210) (-927.264) (-929.520) [-853.069] -- 0:22:52
437000 -- (-930.923) (-914.027) (-932.097) [-870.168] * (-929.142) (-918.258) (-917.778) [-866.589] -- 0:22:49
438000 -- (-925.711) (-922.933) (-932.362) [-874.986] * (-921.919) (-922.319) (-914.750) [-877.255] -- 0:22:46
439000 -- (-919.840) (-923.574) (-930.597) [-878.459] * (-931.071) (-922.442) (-915.762) [-869.177] -- 0:22:44
440000 -- (-922.924) (-922.934) (-929.369) [-888.457] * (-939.289) (-912.567) (-921.859) [-871.935] -- 0:22:41
Average standard deviation of split frequencies: 0.030838
441000 -- (-918.315) (-927.622) (-919.780) [-880.441] * (-936.705) (-930.395) (-921.459) [-864.224] -- 0:22:38
442000 -- (-915.516) (-923.758) (-923.637) [-881.181] * (-929.933) (-929.538) (-920.464) [-861.355] -- 0:22:35
443000 -- (-916.481) (-927.703) (-925.925) [-874.246] * (-925.512) (-909.465) (-919.676) [-867.571] -- 0:22:32
444000 -- (-922.022) (-929.476) (-916.748) [-873.275] * (-921.270) (-909.763) (-919.388) [-863.787] -- 0:22:28
445000 -- (-925.110) (-919.642) (-917.793) [-870.345] * (-938.617) (-909.999) (-923.659) [-870.203] -- 0:22:25
Average standard deviation of split frequencies: 0.031302
446000 -- (-921.554) (-930.336) (-922.246) [-870.547] * (-940.838) (-907.163) (-922.494) [-867.960] -- 0:22:24
447000 -- (-934.731) (-929.245) (-932.637) [-866.856] * (-937.231) (-915.085) (-931.581) [-861.691] -- 0:22:21
448000 -- (-933.076) (-935.428) (-933.963) [-866.856] * (-930.040) (-909.296) (-919.005) [-860.111] -- 0:22:18
449000 -- (-938.484) (-931.490) (-919.747) [-878.621] * (-938.062) (-920.049) (-921.560) [-858.176] -- 0:22:15
450000 -- (-929.506) (-925.870) (-918.220) [-872.920] * (-954.454) (-915.543) (-922.629) [-854.830] -- 0:22:12
Average standard deviation of split frequencies: 0.031461
451000 -- (-931.265) (-927.264) (-930.968) [-871.480] * (-951.474) (-920.981) (-917.930) [-856.599] -- 0:22:09
452000 -- (-927.811) (-908.453) (-920.412) [-866.992] * (-941.952) (-921.749) (-914.148) [-851.350] -- 0:22:06
453000 -- (-924.478) (-921.706) (-932.305) [-865.384] * (-953.288) (-914.889) (-919.638) [-854.092] -- 0:22:03
454000 -- (-922.161) (-927.546) (-940.002) [-871.199] * (-937.886) (-917.238) (-912.598) [-863.272] -- 0:22:00
455000 -- (-927.770) (-928.659) (-931.238) [-864.386] * (-929.266) (-913.574) (-907.327) [-867.727] -- 0:21:57
Average standard deviation of split frequencies: 0.030954
456000 -- (-926.597) (-928.017) (-937.253) [-881.748] * (-937.001) (-920.978) (-906.599) [-864.988] -- 0:21:54
457000 -- (-923.989) (-926.340) (-931.693) [-882.576] * (-927.371) (-922.132) (-911.052) [-864.167] -- 0:21:51
458000 -- (-933.666) (-924.651) (-932.504) [-875.557] * (-934.033) (-912.286) (-912.138) [-860.805] -- 0:21:48
459000 -- (-935.119) (-922.983) (-937.974) [-874.607] * (-934.332) (-910.971) (-919.971) [-856.766] -- 0:21:45
460000 -- (-941.890) (-930.467) (-924.550) [-881.819] * (-928.574) (-917.238) (-906.240) [-861.896] -- 0:21:43
Average standard deviation of split frequencies: 0.030641
461000 -- (-922.385) (-927.500) (-935.207) [-880.647] * (-921.313) (-909.983) (-914.409) [-864.622] -- 0:21:40
462000 -- (-927.612) (-921.200) (-932.650) [-868.611] * (-927.501) (-909.393) (-919.991) [-855.005] -- 0:21:36
463000 -- (-924.274) (-918.708) (-933.810) [-868.458] * (-934.362) (-909.410) (-918.828) [-857.533] -- 0:21:33
464000 -- (-926.409) (-925.265) (-935.166) [-856.243] * (-936.156) (-913.014) (-903.368) [-858.577] -- 0:21:30
465000 -- (-919.501) (-927.814) (-926.245) [-856.732] * (-922.580) (-904.390) (-903.666) [-854.804] -- 0:21:27
Average standard deviation of split frequencies: 0.031531
466000 -- (-924.570) (-927.407) (-922.899) [-864.252] * (-925.089) (-915.228) (-895.362) [-860.478] -- 0:21:25
467000 -- (-928.712) (-923.651) (-937.544) [-865.869] * (-924.952) (-907.056) (-911.079) [-861.292] -- 0:21:23
468000 -- (-923.745) (-930.417) (-930.724) [-872.906] * (-934.866) (-911.239) (-905.282) [-870.022] -- 0:21:21
469000 -- (-920.217) (-915.602) (-924.193) [-873.536] * (-929.783) (-909.580) (-918.023) [-855.187] -- 0:21:19
470000 -- (-912.448) (-906.276) (-931.732) [-871.494] * (-937.557) (-920.314) (-912.007) [-862.030] -- 0:21:17
Average standard deviation of split frequencies: 0.032220
471000 -- (-915.829) (-918.196) (-930.246) [-869.111] * (-943.239) (-918.732) (-918.714) [-867.139] -- 0:21:15
472000 -- (-909.407) (-938.928) (-936.898) [-871.747] * (-921.070) (-909.620) (-932.237) [-871.126] -- 0:21:14
473000 -- (-908.022) (-932.358) (-939.186) [-864.467] * (-933.360) (-912.280) (-929.234) [-868.638] -- 0:21:11
474000 -- (-921.862) (-920.899) (-926.866) [-861.854] * (-923.094) (-904.818) (-919.524) [-869.916] -- 0:21:08
475000 -- (-921.926) (-921.842) (-918.522) [-861.183] * (-918.435) (-904.234) (-923.595) [-869.352] -- 0:21:06
Average standard deviation of split frequencies: 0.032834
476000 -- (-927.094) (-925.605) (-922.966) [-870.625] * (-926.172) (-902.147) (-917.857) [-875.366] -- 0:21:04
477000 -- (-946.035) (-915.873) (-926.560) [-863.134] * (-935.357) (-909.530) (-916.302) [-878.915] -- 0:21:03
478000 -- (-931.532) (-918.537) (-924.763) [-855.703] * (-928.087) (-916.201) (-931.893) [-862.347] -- 0:21:01
479000 -- (-929.579) (-918.513) (-915.225) [-866.061] * (-937.579) (-917.973) (-932.473) [-871.781] -- 0:20:58
480000 -- (-924.739) (-915.499) (-926.900) [-860.537] * (-939.342) (-917.524) (-926.277) [-858.815] -- 0:20:55
Average standard deviation of split frequencies: 0.032025
481000 -- (-935.008) (-923.803) (-927.074) [-866.137] * (-940.788) (-918.130) (-938.735) [-854.825] -- 0:20:52
482000 -- (-933.413) (-923.746) (-921.166) [-857.853] * (-938.119) (-911.792) (-931.007) [-866.079] -- 0:20:49
483000 -- (-932.539) (-928.689) (-919.390) [-859.673] * (-942.676) (-932.616) (-931.750) [-862.383] -- 0:20:47
484000 -- (-933.198) (-934.245) (-924.659) [-865.023] * (-956.688) (-918.411) (-930.664) [-869.226] -- 0:20:44
485000 -- (-927.157) (-934.997) (-931.161) [-854.649] * (-956.006) (-939.859) (-937.042) [-876.080] -- 0:20:41
Average standard deviation of split frequencies: 0.030796
486000 -- (-942.555) (-932.690) (-930.874) [-862.918] * (-940.310) (-932.746) (-934.638) [-884.521] -- 0:20:38
487000 -- (-939.067) (-939.263) (-940.425) [-863.728] * (-944.802) (-927.285) (-934.509) [-872.760] -- 0:20:35
488000 -- (-926.293) (-944.942) (-933.295) [-866.211] * (-943.504) (-939.103) (-926.183) [-872.295] -- 0:20:32
489000 -- (-932.644) (-935.379) (-934.839) [-864.335] * (-927.495) (-919.607) (-931.503) [-864.324] -- 0:20:29
490000 -- (-929.548) (-933.432) (-936.109) [-863.839] * (-932.397) (-928.907) (-938.191) [-876.782] -- 0:20:27
Average standard deviation of split frequencies: 0.030337
491000 -- (-923.836) (-936.960) (-953.745) [-866.187] * (-932.600) (-916.411) (-941.036) [-866.919] -- 0:20:24
492000 -- (-918.481) (-934.310) (-960.224) [-864.028] * (-926.759) (-908.543) (-928.735) [-860.703] -- 0:20:21
493000 -- (-916.211) (-932.395) (-946.396) [-867.224] * (-923.180) (-920.359) (-921.448) [-860.355] -- 0:20:18
494000 -- (-918.664) (-932.375) (-955.145) [-866.187] * (-931.575) (-924.967) (-932.525) [-870.860] -- 0:20:15
495000 -- (-921.438) (-926.901) (-939.780) [-864.023] * (-946.004) (-922.412) (-929.807) [-877.143] -- 0:20:13
Average standard deviation of split frequencies: 0.030578
496000 -- (-914.975) (-928.445) (-943.178) [-871.877] * (-930.937) (-928.067) (-931.943) [-874.988] -- 0:20:10
497000 -- (-915.201) (-929.342) (-934.399) [-864.281] * (-937.705) (-924.427) (-911.011) [-881.791] -- 0:20:06
498000 -- (-921.879) (-935.633) (-931.101) [-870.249] * (-942.326) (-921.279) (-917.947) [-877.284] -- 0:20:03
499000 -- (-919.073) (-926.156) (-954.277) [-863.308] * (-925.166) (-917.046) (-927.899) [-866.423] -- 0:20:00
500000 -- (-933.688) (-925.541) (-956.365) [-863.641] * (-933.028) (-909.151) (-929.302) [-868.767] -- 0:19:58
Average standard deviation of split frequencies: 0.030456
501000 -- (-928.475) (-923.521) (-928.464) [-865.165] * (-929.412) (-928.924) (-939.657) [-869.028] -- 0:19:55
502000 -- (-927.373) (-913.981) (-931.846) [-866.098] * (-927.007) (-918.308) (-931.297) [-864.921] -- 0:19:52
503000 -- (-914.574) (-925.813) (-922.060) [-856.990] * (-916.871) (-918.163) (-914.459) [-875.777] -- 0:19:49
504000 -- (-914.156) (-935.628) (-929.014) [-855.343] * (-931.199) (-918.025) (-926.139) [-873.787] -- 0:19:46
505000 -- (-935.090) (-913.539) (-928.087) [-864.797] * (-928.097) (-914.299) (-928.636) [-867.673] -- 0:19:44
Average standard deviation of split frequencies: 0.031174
506000 -- (-928.376) (-917.677) (-917.662) [-869.235] * (-925.308) (-925.925) (-931.224) [-867.031] -- 0:19:41
507000 -- (-924.217) (-917.124) (-927.064) [-874.412] * (-937.573) (-926.808) (-928.951) [-863.481] -- 0:19:38
508000 -- (-929.815) (-907.291) (-928.963) [-863.994] * (-937.173) (-919.059) (-915.009) [-856.860] -- 0:19:35
509000 -- (-935.816) (-903.357) (-938.529) [-869.531] * (-928.820) (-920.033) (-936.710) [-872.015] -- 0:19:33
510000 -- (-935.152) (-917.398) (-944.458) [-870.319] * (-931.786) (-918.509) (-927.959) [-869.780] -- 0:19:31
Average standard deviation of split frequencies: 0.030898
511000 -- (-929.099) (-935.869) (-946.463) [-865.293] * (-930.228) (-918.765) (-917.721) [-873.416] -- 0:19:28
512000 -- (-919.344) (-952.708) (-939.668) [-876.908] * (-941.544) (-918.147) (-916.839) [-874.758] -- 0:19:26
513000 -- (-921.915) (-953.413) (-938.363) [-870.341] * (-929.604) (-926.597) (-910.112) [-878.879] -- 0:19:24
514000 -- (-916.245) (-935.406) (-925.968) [-873.075] * (-921.938) (-925.821) (-911.637) [-873.577] -- 0:19:22
515000 -- (-927.805) (-934.865) (-923.037) [-875.431] * (-923.774) (-931.844) (-908.750) [-871.414] -- 0:19:21
Average standard deviation of split frequencies: 0.030941
516000 -- (-926.524) (-927.770) (-924.058) [-866.758] * (-941.815) (-934.407) (-916.217) [-879.144] -- 0:19:18
517000 -- (-922.658) (-922.479) (-927.567) [-861.752] * (-941.582) (-922.988) (-911.282) [-876.080] -- 0:19:16
518000 -- (-943.285) (-921.086) (-926.265) [-860.846] * (-950.632) (-918.985) (-926.525) [-871.213] -- 0:19:14
519000 -- (-929.698) (-920.469) (-928.613) [-865.095] * (-939.632) (-918.779) (-926.070) [-867.815] -- 0:19:12
520000 -- (-934.211) (-917.869) (-922.505) [-872.637] * (-929.985) (-916.467) (-929.611) [-874.680] -- 0:19:11
Average standard deviation of split frequencies: 0.030886
521000 -- (-924.791) (-927.493) (-929.865) [-872.149] * (-943.907) (-919.991) (-925.265) [-871.408] -- 0:19:09
522000 -- (-928.866) (-924.266) (-924.018) [-876.657] * (-931.403) (-925.008) (-934.943) [-874.585] -- 0:19:07
523000 -- (-939.056) (-935.818) (-916.800) [-878.087] * (-936.997) (-913.814) (-930.429) [-876.982] -- 0:19:04
524000 -- (-942.860) (-918.237) (-920.821) [-858.987] * (-945.619) (-914.449) (-936.780) [-870.206] -- 0:19:02
525000 -- (-930.772) (-927.262) (-924.166) [-860.658] * (-940.819) (-919.162) (-917.344) [-874.919] -- 0:19:00
Average standard deviation of split frequencies: 0.030133
526000 -- (-931.810) (-913.064) (-925.634) [-865.910] * (-938.112) (-923.151) (-909.852) [-868.273] -- 0:18:58
527000 -- (-927.281) (-918.765) (-921.604) [-871.543] * (-930.717) (-924.631) (-918.511) [-864.750] -- 0:18:56
528000 -- (-923.923) (-908.174) (-928.591) [-871.668] * (-921.969) (-923.694) (-909.256) [-874.146] -- 0:18:53
529000 -- (-943.312) (-920.078) (-926.597) [-869.236] * (-929.729) (-924.986) (-910.239) [-868.952] -- 0:18:51
530000 -- (-925.432) (-926.405) (-914.437) [-871.164] * (-942.982) (-924.130) (-900.050) [-870.951] -- 0:18:49
Average standard deviation of split frequencies: 0.029161
531000 -- (-926.933) (-926.567) (-908.598) [-870.082] * (-928.875) (-925.722) (-911.014) [-868.934] -- 0:18:47
532000 -- (-921.304) (-919.230) (-916.441) [-875.330] * (-928.178) (-923.697) (-904.176) [-867.836] -- 0:18:45
533000 -- (-944.256) (-921.020) (-922.764) [-866.222] * (-928.654) (-929.957) (-914.436) [-875.668] -- 0:18:42
534000 -- (-955.277) (-913.207) (-915.543) [-873.320] * (-946.594) (-921.917) (-915.757) [-874.677] -- 0:18:39
535000 -- (-952.914) (-927.585) (-920.907) [-864.801] * (-944.461) (-921.081) (-912.679) [-881.819] -- 0:18:37
Average standard deviation of split frequencies: 0.028414
536000 -- (-939.311) (-911.570) (-920.970) [-868.502] * (-950.001) (-928.183) (-918.463) [-868.884] -- 0:18:35
537000 -- (-942.120) (-928.777) (-922.489) [-864.282] * (-953.325) (-923.846) (-920.020) [-873.357] -- 0:18:33
538000 -- (-936.639) (-922.575) (-920.380) [-866.807] * (-946.740) (-926.529) (-926.779) [-876.234] -- 0:18:32
539000 -- (-923.946) (-929.411) (-919.473) [-858.194] * (-934.398) (-924.901) (-926.767) [-869.041] -- 0:18:30
540000 -- (-924.747) (-942.669) (-932.627) [-863.874] * (-933.457) (-921.081) (-926.594) [-870.363] -- 0:18:27
Average standard deviation of split frequencies: 0.027968
541000 -- (-914.384) (-929.124) (-919.845) [-868.752] * (-933.281) (-912.118) (-928.051) [-878.364] -- 0:18:24
542000 -- (-918.026) (-923.211) (-926.728) [-878.506] * (-938.032) (-920.474) (-917.387) [-880.856] -- 0:18:21
543000 -- (-926.011) (-923.820) (-922.217) [-867.217] * (-956.782) (-922.801) (-929.394) [-872.680] -- 0:18:19
544000 -- (-924.726) (-920.614) (-929.543) [-854.586] * (-947.879) (-921.355) (-924.935) [-879.086] -- 0:18:16
545000 -- (-926.179) (-918.968) (-923.570) [-853.028] * (-936.458) (-921.241) (-931.204) [-883.296] -- 0:18:14
Average standard deviation of split frequencies: 0.027695
546000 -- (-929.287) (-914.603) (-935.205) [-856.492] * (-935.051) (-922.282) (-930.056) [-880.437] -- 0:18:11
547000 -- (-926.517) (-931.280) (-931.028) [-865.160] * (-938.952) (-919.709) (-923.682) [-877.059] -- 0:18:09
548000 -- (-924.650) (-932.515) (-929.838) [-863.286] * (-935.088) (-911.095) (-919.835) [-876.559] -- 0:18:06
549000 -- (-924.861) (-925.877) (-945.884) [-865.505] * (-938.537) (-924.363) (-933.062) [-873.751] -- 0:18:03
550000 -- (-926.295) (-923.234) (-937.406) [-867.252] * (-941.935) (-922.921) (-911.249) [-876.614] -- 0:18:00
Average standard deviation of split frequencies: 0.027763
551000 -- (-927.358) (-935.828) (-936.502) [-871.698] * (-931.869) (-923.909) (-922.355) [-886.544] -- 0:17:58
552000 -- (-920.768) (-931.479) (-933.389) [-865.760] * (-948.440) (-919.613) (-934.016) [-882.066] -- 0:17:55
553000 -- (-925.695) (-934.959) (-931.896) [-867.391] * (-937.534) (-911.654) (-936.298) [-886.979] -- 0:17:52
554000 -- (-920.718) (-935.921) (-935.140) [-865.444] * (-937.667) (-935.028) (-934.102) [-877.343] -- 0:17:49
555000 -- (-916.010) (-931.981) (-932.247) [-863.136] * (-945.838) (-925.633) (-928.971) [-873.112] -- 0:17:47
Average standard deviation of split frequencies: 0.028029
556000 -- (-929.238) (-944.882) (-930.128) [-862.156] * (-943.712) (-928.758) (-923.973) [-868.246] -- 0:17:44
557000 -- (-923.533) (-943.622) (-922.129) [-863.255] * (-931.391) (-914.500) (-935.040) [-866.265] -- 0:17:40
558000 -- (-923.474) (-939.069) (-918.806) [-857.889] * (-919.815) (-908.502) (-921.921) [-873.599] -- 0:17:38
559000 -- (-925.057) (-930.310) (-917.513) [-860.152] * (-928.839) (-914.891) (-923.444) [-872.878] -- 0:17:35
560000 -- (-926.529) (-930.262) (-913.405) [-855.602] * (-917.368) (-907.208) (-917.967) [-878.796] -- 0:17:32
Average standard deviation of split frequencies: 0.028307
561000 -- (-926.959) (-920.845) (-914.364) [-865.079] * (-921.947) (-912.341) (-930.886) [-889.126] -- 0:17:30
562000 -- (-933.431) (-922.103) (-913.383) [-870.293] * (-917.099) (-909.767) (-929.074) [-886.629] -- 0:17:27
563000 -- (-928.727) (-920.058) (-924.343) [-874.617] * (-918.728) (-919.238) (-935.506) [-879.270] -- 0:17:24
564000 -- (-932.164) (-921.169) (-923.021) [-864.018] * (-914.938) (-914.364) (-932.072) [-880.892] -- 0:17:22
565000 -- (-935.318) (-917.319) (-925.037) [-864.695] * (-923.021) (-903.242) (-936.396) [-881.373] -- 0:17:19
Average standard deviation of split frequencies: 0.027926
566000 -- (-937.193) (-919.374) (-929.318) [-864.004] * (-927.708) (-903.873) (-918.471) [-879.326] -- 0:17:16
567000 -- (-937.647) (-911.597) (-932.749) [-867.461] * (-920.592) (-907.345) (-930.254) [-893.399] -- 0:17:14
568000 -- (-929.391) (-919.336) (-930.267) [-866.660] * (-923.059) (-907.305) (-930.298) [-884.043] -- 0:17:11
569000 -- (-945.083) (-924.021) (-932.977) [-865.316] * (-920.921) (-919.373) (-921.623) [-873.958] -- 0:17:08
570000 -- (-937.463) (-919.141) (-921.748) [-866.352] * (-912.501) (-912.707) (-911.445) [-868.162] -- 0:17:05
Average standard deviation of split frequencies: 0.027454
571000 -- (-942.094) (-920.283) (-930.236) [-862.865] * (-917.196) (-918.817) (-925.285) [-867.789] -- 0:17:03
572000 -- (-936.248) (-934.534) (-928.323) [-870.329] * (-911.369) (-922.564) (-920.776) [-854.078] -- 0:17:01
573000 -- (-926.196) (-919.423) (-931.308) [-854.551] * (-927.293) (-927.581) (-929.570) [-858.725] -- 0:16:59
574000 -- (-932.641) (-921.511) (-924.233) [-849.305] * (-931.619) (-927.116) (-932.223) [-863.915] -- 0:16:57
575000 -- (-948.686) (-920.785) (-925.609) [-848.140] * (-932.228) (-925.073) (-938.798) [-871.244] -- 0:16:55
Average standard deviation of split frequencies: 0.026671
576000 -- (-953.432) (-928.784) (-932.604) [-858.322] * (-926.634) (-905.464) (-928.697) [-871.536] -- 0:16:52
577000 -- (-941.785) (-941.259) (-930.975) [-864.905] * (-930.908) (-916.148) (-932.339) [-871.617] -- 0:16:50
578000 -- (-929.609) (-939.168) (-926.862) [-870.261] * (-923.400) (-905.213) (-928.977) [-874.123] -- 0:16:48
579000 -- (-923.395) (-925.592) (-935.256) [-875.447] * (-931.830) (-915.936) (-918.832) [-875.096] -- 0:16:46
580000 -- (-936.221) (-926.442) (-924.787) [-869.394] * (-932.050) (-913.823) (-920.282) [-868.915] -- 0:16:44
Average standard deviation of split frequencies: 0.026790
581000 -- (-937.288) (-933.728) (-926.437) [-872.109] * (-926.991) (-906.632) (-921.877) [-867.479] -- 0:16:41
582000 -- (-937.273) (-933.008) (-929.134) [-870.659] * (-915.681) (-913.644) (-918.481) [-871.671] -- 0:16:39
583000 -- (-943.668) (-945.694) (-931.616) [-872.188] * (-906.160) (-926.093) (-914.237) [-868.173] -- 0:16:36
584000 -- (-943.984) (-949.461) (-928.135) [-871.155] * (-914.050) (-936.083) (-928.508) [-866.307] -- 0:16:33
585000 -- (-919.520) (-939.348) (-930.144) [-869.077] * (-919.650) (-929.852) (-924.714) [-860.776] -- 0:16:31
Average standard deviation of split frequencies: 0.027382
586000 -- (-929.460) (-940.877) (-918.706) [-867.991] * (-921.167) (-923.818) (-919.901) [-870.447] -- 0:16:28
587000 -- (-921.945) (-932.592) (-922.830) [-868.090] * (-916.616) (-930.424) (-924.863) [-864.818] -- 0:16:25
588000 -- (-928.719) (-934.034) (-925.846) [-862.148] * (-912.225) (-944.440) (-929.934) [-861.198] -- 0:16:23
589000 -- (-917.789) (-933.097) (-925.185) [-867.948] * (-924.647) (-936.122) (-929.212) [-870.847] -- 0:16:20
590000 -- (-926.899) (-931.683) (-921.334) [-854.533] * (-929.242) (-942.081) (-930.247) [-876.755] -- 0:16:17
Average standard deviation of split frequencies: 0.027242
591000 -- (-928.468) (-941.441) (-924.415) [-853.603] * (-934.917) (-936.496) (-932.808) [-877.637] -- 0:16:15
592000 -- (-920.853) (-935.194) (-921.415) [-850.487] * (-915.038) (-928.239) (-928.021) [-880.580] -- 0:16:12
593000 -- (-921.117) (-927.185) (-915.824) [-859.057] * (-922.367) (-932.231) (-916.061) [-867.134] -- 0:16:09
594000 -- (-918.831) (-923.815) (-914.209) [-859.559] * (-923.939) (-912.022) (-934.505) [-869.678] -- 0:16:07
595000 -- (-905.502) (-930.044) (-928.979) [-872.481] * (-930.131) (-908.152) (-921.008) [-870.173] -- 0:16:04
Average standard deviation of split frequencies: 0.027333
596000 -- (-912.041) (-941.942) (-929.850) [-871.986] * (-920.593) (-907.901) (-922.935) [-872.303] -- 0:16:01
597000 -- (-915.222) (-927.838) (-921.613) [-884.011] * (-913.516) (-906.514) (-920.553) [-875.605] -- 0:15:59
598000 -- (-912.236) (-926.830) (-923.848) [-875.215] * (-914.834) (-919.392) (-915.622) [-869.059] -- 0:15:56
599000 -- (-911.915) (-929.088) (-927.699) [-867.576] * (-923.656) (-913.444) (-913.144) [-872.591] -- 0:15:53
600000 -- (-913.617) (-938.036) (-937.237) [-868.193] * (-929.638) (-911.737) (-919.780) [-870.835] -- 0:15:51
Average standard deviation of split frequencies: 0.027000
601000 -- (-921.803) (-942.046) (-946.363) [-866.152] * (-929.757) (-925.050) (-906.339) [-871.640] -- 0:15:48
602000 -- (-926.781) (-948.104) (-950.055) [-864.366] * (-926.261) (-911.999) (-912.941) [-864.439] -- 0:15:46
603000 -- (-930.157) (-944.130) (-936.198) [-869.080] * (-931.220) (-907.309) (-906.752) [-862.183] -- 0:15:43
604000 -- (-929.152) (-936.678) (-934.841) [-864.734] * (-931.337) (-910.854) (-910.068) [-869.775] -- 0:15:40
605000 -- (-919.472) (-940.484) (-954.030) [-859.179] * (-945.392) (-915.623) (-921.470) [-873.153] -- 0:15:38
Average standard deviation of split frequencies: 0.027062
606000 -- (-927.514) (-921.694) (-945.917) [-858.201] * (-937.705) (-922.118) (-929.085) [-869.283] -- 0:15:35
607000 -- (-916.305) (-925.905) (-940.209) [-863.168] * (-929.780) (-913.018) (-933.394) [-863.923] -- 0:15:32
608000 -- (-914.915) (-933.761) (-935.098) [-863.312] * (-931.503) (-917.417) (-918.549) [-870.284] -- 0:15:29
609000 -- (-918.050) (-923.700) (-927.785) [-863.806] * (-932.447) (-924.940) (-913.775) [-871.489] -- 0:15:27
610000 -- (-919.532) (-918.978) (-931.558) [-870.319] * (-930.899) (-922.551) (-918.402) [-861.321] -- 0:15:24
Average standard deviation of split frequencies: 0.026632
611000 -- (-926.475) (-919.458) (-933.272) [-876.548] * (-920.339) (-917.963) (-914.950) [-861.334] -- 0:15:21
612000 -- (-929.948) (-913.679) (-929.263) [-867.775] * (-930.922) (-926.703) (-918.338) [-864.860] -- 0:15:19
613000 -- (-950.722) (-911.719) (-931.216) [-864.583] * (-931.180) (-910.802) (-927.732) [-864.163] -- 0:15:16
614000 -- (-925.374) (-924.664) (-937.115) [-855.792] * (-940.585) (-913.058) (-921.092) [-868.886] -- 0:15:14
615000 -- (-929.594) (-934.924) (-939.622) [-861.848] * (-934.511) (-920.621) (-923.567) [-872.841] -- 0:15:11
Average standard deviation of split frequencies: 0.026446
616000 -- (-929.187) (-930.680) (-929.785) [-860.743] * (-935.555) (-917.781) (-921.679) [-871.120] -- 0:15:08
617000 -- (-926.882) (-932.844) (-922.055) [-851.838] * (-937.091) (-908.990) (-907.772) [-865.156] -- 0:15:06
618000 -- (-934.592) (-930.500) (-918.879) [-860.507] * (-927.185) (-918.257) (-912.275) [-873.969] -- 0:15:03
619000 -- (-931.331) (-915.885) (-926.285) [-856.896] * (-928.256) (-917.946) (-917.952) [-874.958] -- 0:15:01
620000 -- (-932.482) (-917.178) (-932.276) [-862.150] * (-931.786) (-900.785) (-907.412) [-870.028] -- 0:14:58
Average standard deviation of split frequencies: 0.025585
621000 -- (-945.165) (-919.958) (-941.601) [-858.774] * (-925.094) (-920.583) (-909.155) [-866.807] -- 0:14:55
622000 -- (-939.254) (-924.592) (-934.669) [-859.331] * (-930.479) (-930.743) (-898.276) [-866.083] -- 0:14:53
623000 -- (-949.725) (-930.186) (-933.917) [-856.701] * (-930.787) (-926.506) (-910.435) [-877.887] -- 0:14:51
624000 -- (-936.660) (-933.427) (-912.731) [-858.896] * (-935.068) (-914.361) (-915.763) [-880.323] -- 0:14:48
625000 -- (-944.487) (-932.394) (-920.520) [-862.341] * (-931.418) (-916.056) (-927.293) [-874.142] -- 0:14:46
Average standard deviation of split frequencies: 0.024924
626000 -- (-941.532) (-935.158) (-912.842) [-864.210] * (-935.683) (-910.844) (-928.858) [-880.400] -- 0:14:43
627000 -- (-937.383) (-933.130) (-907.062) [-863.115] * (-940.762) (-935.608) (-922.943) [-881.900] -- 0:14:41
628000 -- (-927.716) (-931.809) (-925.948) [-858.864] * (-925.712) (-918.588) (-919.523) [-878.572] -- 0:14:38
629000 -- (-925.275) (-932.337) (-918.901) [-859.216] * (-923.109) (-917.735) (-926.585) [-882.915] -- 0:14:35
630000 -- (-937.246) (-952.682) (-910.477) [-866.495] * (-921.088) (-928.312) (-921.929) [-864.859] -- 0:14:33
Average standard deviation of split frequencies: 0.024535
631000 -- (-938.666) (-929.842) (-910.067) [-866.628] * (-925.281) (-920.459) (-910.935) [-862.120] -- 0:14:30
632000 -- (-933.352) (-937.781) (-920.877) [-869.655] * (-930.515) (-924.705) (-910.898) [-866.342] -- 0:14:28
633000 -- (-929.061) (-926.057) (-924.773) [-871.962] * (-938.583) (-914.023) (-909.733) [-861.885] -- 0:14:25
634000 -- (-927.733) (-921.155) (-926.366) [-862.441] * (-940.449) (-905.294) (-917.853) [-860.592] -- 0:14:23
635000 -- (-917.717) (-930.618) (-922.254) [-865.002] * (-939.379) (-911.352) (-925.580) [-873.553] -- 0:14:20
Average standard deviation of split frequencies: 0.024096
636000 -- (-933.723) (-923.014) (-914.925) [-860.334] * (-934.436) (-905.068) (-914.259) [-877.221] -- 0:14:17
637000 -- (-924.492) (-923.854) (-916.176) [-865.347] * (-930.437) (-901.717) (-926.081) [-878.007] -- 0:14:15
638000 -- (-927.357) (-921.475) (-920.916) [-861.711] * (-936.638) (-907.997) (-911.334) [-881.705] -- 0:14:12
639000 -- (-917.329) (-921.169) (-928.456) [-858.391] * (-935.707) (-914.210) (-909.279) [-872.126] -- 0:14:10
640000 -- (-911.285) (-918.716) (-925.043) [-861.823] * (-927.950) (-907.076) (-920.658) [-869.671] -- 0:14:07
Average standard deviation of split frequencies: 0.024036
641000 -- (-915.515) (-924.987) (-925.320) [-870.768] * (-927.647) (-909.248) (-908.213) [-866.335] -- 0:14:05
642000 -- (-935.952) (-920.166) (-920.199) [-862.887] * (-923.751) (-915.135) (-900.024) [-863.950] -- 0:14:02
643000 -- (-930.582) (-925.992) (-921.340) [-872.631] * (-920.995) (-925.058) (-915.039) [-873.759] -- 0:13:59
644000 -- (-944.922) (-917.490) (-925.568) [-867.994] * (-920.142) (-913.074) (-911.115) [-868.656] -- 0:13:56
645000 -- (-941.194) (-929.743) (-920.908) [-869.471] * (-929.641) (-924.009) (-908.217) [-869.254] -- 0:13:54
Average standard deviation of split frequencies: 0.023795
646000 -- (-926.334) (-923.499) (-929.324) [-863.602] * (-917.339) (-938.366) (-913.405) [-864.016] -- 0:13:51
647000 -- (-932.096) (-920.703) (-921.215) [-864.703] * (-923.419) (-928.996) (-913.487) [-872.045] -- 0:13:49
648000 -- (-923.585) (-919.982) (-909.201) [-861.964] * (-928.090) (-930.185) (-912.522) [-866.475] -- 0:13:46
649000 -- (-925.685) (-921.913) (-924.659) [-860.950] * (-926.767) (-934.607) (-915.211) [-854.745] -- 0:13:44
650000 -- (-929.016) (-916.970) (-936.163) [-862.051] * (-920.741) (-926.305) (-927.288) [-864.261] -- 0:13:41
Average standard deviation of split frequencies: 0.023155
651000 -- (-931.103) (-921.602) (-925.372) [-868.903] * (-942.508) (-930.610) (-926.399) [-868.124] -- 0:13:39
652000 -- (-929.693) (-920.896) (-936.527) [-867.357] * (-935.603) (-932.084) (-930.179) [-872.765] -- 0:13:37
653000 -- (-922.227) (-925.249) (-930.791) [-867.803] * (-930.193) (-933.955) (-917.955) [-873.355] -- 0:13:34
654000 -- (-941.916) (-935.661) (-924.866) [-866.422] * (-933.607) (-928.218) (-918.732) [-873.875] -- 0:13:32
655000 -- (-943.950) (-922.482) (-920.354) [-862.902] * (-916.705) (-948.465) (-928.401) [-864.428] -- 0:13:29
Average standard deviation of split frequencies: 0.022418
656000 -- (-931.279) (-916.796) (-921.851) [-861.611] * (-921.725) (-952.547) (-934.669) [-856.997] -- 0:13:27
657000 -- (-924.884) (-913.162) (-925.641) [-863.251] * (-916.982) (-948.201) (-914.926) [-858.860] -- 0:13:24
658000 -- (-923.975) (-922.319) (-930.962) [-866.976] * (-913.920) (-939.590) (-922.066) [-876.242] -- 0:13:21
659000 -- (-945.905) (-921.882) (-937.522) [-859.126] * (-914.635) (-933.997) (-916.508) [-864.254] -- 0:13:19
660000 -- (-930.500) (-934.195) (-934.326) [-859.749] * (-937.919) (-923.866) (-914.541) [-872.722] -- 0:13:16
Average standard deviation of split frequencies: 0.022091
661000 -- (-920.803) (-928.089) (-931.519) [-858.929] * (-930.767) (-919.553) (-915.483) [-867.961] -- 0:13:14
662000 -- (-929.069) (-918.342) (-952.261) [-858.523] * (-928.888) (-917.758) (-907.315) [-872.741] -- 0:13:11
663000 -- (-932.263) (-919.117) (-941.794) [-872.609] * (-914.418) (-930.559) (-909.156) [-883.239] -- 0:13:09
664000 -- (-936.177) (-922.687) (-931.169) [-857.501] * (-923.763) (-942.457) (-920.624) [-874.840] -- 0:13:06
665000 -- (-951.306) (-912.254) (-935.754) [-858.097] * (-915.393) (-920.068) (-910.597) [-876.515] -- 0:13:04
Average standard deviation of split frequencies: 0.022484
666000 -- (-944.669) (-917.018) (-936.977) [-870.732] * (-924.388) (-919.986) (-913.281) [-869.038] -- 0:13:02
667000 -- (-948.784) (-915.832) (-931.163) [-863.857] * (-936.950) (-925.258) (-911.499) [-873.261] -- 0:13:00
668000 -- (-939.199) (-919.553) (-936.868) [-854.251] * (-926.144) (-925.043) (-911.811) [-875.563] -- 0:12:58
669000 -- (-923.760) (-924.858) (-940.628) [-855.280] * (-920.527) (-917.242) (-907.676) [-883.759] -- 0:12:56
670000 -- (-924.497) (-917.517) (-929.165) [-859.891] * (-926.037) (-917.463) (-907.232) [-884.683] -- 0:12:53
Average standard deviation of split frequencies: 0.022424
671000 -- (-932.976) (-917.326) (-934.543) [-864.775] * (-938.983) (-922.346) (-914.873) [-876.223] -- 0:12:51
672000 -- (-933.847) (-919.534) (-933.020) [-865.523] * (-924.567) (-921.069) (-912.862) [-868.555] -- 0:12:49
673000 -- (-939.489) (-919.707) (-924.605) [-858.759] * (-938.318) (-926.127) (-917.405) [-862.828] -- 0:12:47
674000 -- (-930.547) (-911.876) (-924.399) [-852.655] * (-937.246) (-927.680) (-917.629) [-864.608] -- 0:12:45
675000 -- (-923.205) (-928.818) (-934.273) [-859.066] * (-936.693) (-924.899) (-930.006) [-860.614] -- 0:12:43
Average standard deviation of split frequencies: 0.021454
676000 -- (-928.060) (-924.741) (-941.950) [-856.314] * (-935.980) (-917.743) (-923.344) [-862.468] -- 0:12:41
677000 -- (-934.237) (-924.813) (-943.456) [-860.630] * (-932.044) (-912.576) (-928.482) [-873.714] -- 0:12:38
678000 -- (-935.086) (-931.259) (-931.438) [-856.049] * (-930.201) (-913.551) (-919.573) [-881.138] -- 0:12:36
679000 -- (-933.246) (-931.845) (-917.992) [-864.917] * (-931.755) (-922.923) (-916.621) [-867.915] -- 0:12:34
680000 -- (-937.576) (-931.286) (-930.567) [-868.511] * (-928.649) (-915.327) (-912.542) [-867.064] -- 0:12:32
Average standard deviation of split frequencies: 0.020967
681000 -- (-938.956) (-943.915) (-916.632) [-866.438] * (-923.003) (-908.657) (-914.329) [-873.429] -- 0:12:29
682000 -- (-934.079) (-938.566) (-916.661) [-857.726] * (-920.352) (-902.783) (-918.655) [-866.387] -- 0:12:27
683000 -- (-935.079) (-945.334) (-917.474) [-866.369] * (-937.846) (-904.112) (-932.217) [-868.506] -- 0:12:24
684000 -- (-927.410) (-931.569) (-928.218) [-875.661] * (-927.772) (-911.738) (-929.518) [-866.913] -- 0:12:21
685000 -- (-933.337) (-925.912) (-913.990) [-868.351] * (-924.607) (-918.933) (-920.576) [-870.916] -- 0:12:19
Average standard deviation of split frequencies: 0.020561
686000 -- (-928.073) (-938.336) (-918.892) [-868.596] * (-933.306) (-913.166) (-915.731) [-858.763] -- 0:12:16
687000 -- (-927.906) (-930.365) (-926.058) [-865.797] * (-934.285) (-920.887) (-912.658) [-860.146] -- 0:12:14
688000 -- (-940.310) (-928.338) (-922.014) [-856.437] * (-936.054) (-918.736) (-916.023) [-864.407] -- 0:12:11
689000 -- (-938.855) (-926.352) (-927.987) [-863.207] * (-939.589) (-925.594) (-925.484) [-867.252] -- 0:12:09
690000 -- (-923.662) (-911.228) (-934.949) [-862.698] * (-933.341) (-925.588) (-918.456) [-868.421] -- 0:12:06
Average standard deviation of split frequencies: 0.020101
691000 -- (-928.017) (-941.596) (-929.352) [-863.336] * (-917.685) (-919.038) (-916.717) [-875.248] -- 0:12:04
692000 -- (-932.551) (-937.203) (-925.466) [-860.384] * (-918.999) (-910.100) (-911.696) [-867.490] -- 0:12:01
693000 -- (-923.962) (-925.091) (-929.509) [-863.853] * (-928.738) (-914.361) (-905.673) [-866.785] -- 0:11:59
694000 -- (-927.384) (-919.960) (-926.415) [-867.346] * (-928.319) (-911.006) (-916.906) [-861.791] -- 0:11:56
695000 -- (-923.850) (-930.683) (-927.978) [-868.371] * (-922.768) (-914.150) (-913.539) [-862.781] -- 0:11:54
Average standard deviation of split frequencies: 0.020651
696000 -- (-919.684) (-919.051) (-928.142) [-869.743] * (-924.867) (-924.358) (-912.919) [-860.299] -- 0:11:51
697000 -- (-919.616) (-924.245) (-919.552) [-871.084] * (-934.271) (-924.028) (-912.824) [-855.094] -- 0:11:49
698000 -- (-922.544) (-934.007) (-923.360) [-861.755] * (-936.244) (-904.823) (-912.132) [-854.265] -- 0:11:46
699000 -- (-938.690) (-929.362) (-917.085) [-865.749] * (-932.249) (-907.230) (-926.891) [-856.099] -- 0:11:44
700000 -- (-925.259) (-931.102) (-919.479) [-865.124] * (-928.599) (-907.879) (-918.331) [-858.654] -- 0:11:42
Average standard deviation of split frequencies: 0.020474
701000 -- (-928.927) (-928.857) (-919.406) [-867.166] * (-924.937) (-900.056) (-927.442) [-855.880] -- 0:11:39
702000 -- (-942.427) (-915.163) (-925.500) [-870.248] * (-923.605) (-908.298) (-918.003) [-862.906] -- 0:11:37
703000 -- (-927.342) (-926.113) (-919.832) [-871.365] * (-924.338) (-915.546) (-921.091) [-862.774] -- 0:11:34
704000 -- (-931.118) (-930.001) (-924.552) [-876.449] * (-931.314) (-904.946) (-914.879) [-858.698] -- 0:11:32
705000 -- (-930.825) (-925.095) (-923.683) [-884.703] * (-932.952) (-910.428) (-912.512) [-865.296] -- 0:11:29
Average standard deviation of split frequencies: 0.020160
706000 -- (-926.861) (-953.093) (-921.339) [-872.026] * (-935.103) (-919.956) (-906.347) [-861.900] -- 0:11:27
707000 -- (-931.754) (-949.635) (-920.924) [-873.488] * (-938.097) (-913.117) (-906.994) [-862.912] -- 0:11:24
708000 -- (-929.032) (-943.585) (-919.450) [-873.436] * (-926.205) (-914.739) (-921.948) [-870.614] -- 0:11:22
709000 -- (-932.333) (-935.658) (-921.057) [-867.478] * (-929.732) (-916.766) (-909.976) [-872.331] -- 0:11:19
710000 -- (-922.066) (-933.535) (-915.524) [-870.158] * (-935.387) (-913.011) (-914.766) [-857.434] -- 0:11:17
Average standard deviation of split frequencies: 0.019747
711000 -- (-925.040) (-921.034) (-926.360) [-871.232] * (-924.673) (-915.971) (-926.050) [-860.618] -- 0:11:14
712000 -- (-923.906) (-922.911) (-916.723) [-872.016] * (-924.367) (-901.695) (-927.015) [-868.817] -- 0:11:12
713000 -- (-929.205) (-936.319) (-914.334) [-863.184] * (-919.214) (-910.801) (-931.920) [-867.719] -- 0:11:09
714000 -- (-929.166) (-935.390) (-905.949) [-874.823] * (-917.995) (-919.054) (-928.059) [-872.853] -- 0:11:07
715000 -- (-934.383) (-927.102) (-909.881) [-871.055] * (-925.094) (-922.389) (-910.184) [-868.855] -- 0:11:04
Average standard deviation of split frequencies: 0.019790
716000 -- (-927.985) (-924.436) (-920.355) [-880.978] * (-923.869) (-929.034) (-906.328) [-871.812] -- 0:11:02
717000 -- (-929.419) (-931.054) (-919.734) [-878.789] * (-924.426) (-931.719) (-911.836) [-871.277] -- 0:10:59
718000 -- (-934.183) (-931.956) (-912.321) [-873.766] * (-933.806) (-930.771) (-909.310) [-858.374] -- 0:10:57
719000 -- (-928.683) (-950.611) (-907.208) [-883.441] * (-923.118) (-931.348) (-915.794) [-861.615] -- 0:10:55
720000 -- (-929.514) (-941.036) (-918.188) [-873.018] * (-926.100) (-915.281) (-919.344) [-858.245] -- 0:10:52
Average standard deviation of split frequencies: 0.019893
721000 -- (-932.736) (-941.361) (-926.509) [-866.680] * (-907.716) (-917.158) (-905.935) [-866.084] -- 0:10:49
722000 -- (-925.381) (-944.768) (-921.881) [-860.386] * (-924.862) (-931.437) (-914.849) [-874.202] -- 0:10:47
723000 -- (-927.293) (-937.333) (-912.371) [-859.830] * (-919.047) (-923.379) (-922.567) [-880.588] -- 0:10:45
724000 -- (-930.254) (-938.393) (-929.418) [-858.850] * (-922.278) (-929.614) (-918.630) [-880.375] -- 0:10:42
725000 -- (-937.507) (-928.008) (-914.621) [-852.026] * (-919.885) (-917.470) (-929.209) [-873.944] -- 0:10:40
Average standard deviation of split frequencies: 0.019938
726000 -- (-956.304) (-940.833) (-911.435) [-855.912] * (-922.946) (-905.940) (-914.001) [-869.834] -- 0:10:37
727000 -- (-935.350) (-937.463) (-921.575) [-864.881] * (-910.164) (-908.464) (-908.854) [-874.799] -- 0:10:35
728000 -- (-939.018) (-931.838) (-919.832) [-874.986] * (-911.862) (-905.331) (-920.075) [-870.412] -- 0:10:32
729000 -- (-927.934) (-933.402) (-915.602) [-871.322] * (-926.172) (-913.909) (-915.267) [-878.631] -- 0:10:30
730000 -- (-928.190) (-931.930) (-912.386) [-872.199] * (-924.990) (-922.461) (-915.878) [-874.529] -- 0:10:28
Average standard deviation of split frequencies: 0.019912
731000 -- (-929.493) (-928.842) (-921.677) [-868.893] * (-921.262) (-922.641) (-924.681) [-871.928] -- 0:10:25
732000 -- (-927.453) (-937.066) (-917.855) [-861.004] * (-920.748) (-915.675) (-930.542) [-875.428] -- 0:10:23
733000 -- (-924.412) (-941.634) (-916.805) [-868.302] * (-922.244) (-908.529) (-907.277) [-878.337] -- 0:10:20
734000 -- (-918.965) (-934.720) (-915.631) [-867.848] * (-924.139) (-918.430) (-914.004) [-871.337] -- 0:10:18
735000 -- (-930.998) (-938.091) (-921.247) [-872.075] * (-936.865) (-918.281) (-919.642) [-875.603] -- 0:10:15
Average standard deviation of split frequencies: 0.020594
736000 -- (-928.930) (-929.108) (-909.962) [-871.495] * (-918.076) (-915.424) (-923.163) [-863.240] -- 0:10:13
737000 -- (-939.513) (-936.878) (-918.016) [-874.710] * (-923.268) (-914.537) (-917.641) [-863.911] -- 0:10:10
738000 -- (-941.801) (-936.150) (-913.962) [-857.391] * (-919.587) (-909.909) (-909.306) [-872.802] -- 0:10:08
739000 -- (-940.453) (-936.704) (-919.124) [-857.174] * (-916.751) (-914.742) (-916.787) [-871.592] -- 0:10:06
740000 -- (-927.662) (-934.976) (-919.286) [-853.587] * (-916.023) (-912.211) (-916.974) [-867.755] -- 0:10:03
Average standard deviation of split frequencies: 0.021309
741000 -- (-935.779) (-927.185) (-912.022) [-868.572] * (-923.386) (-914.884) (-930.546) [-862.594] -- 0:10:01
742000 -- (-938.411) (-931.405) (-917.083) [-867.155] * (-929.075) (-914.579) (-940.683) [-871.157] -- 0:09:58
743000 -- (-933.936) (-927.033) (-917.419) [-865.554] * (-931.486) (-914.416) (-941.850) [-875.696] -- 0:09:56
744000 -- (-933.847) (-946.627) (-922.780) [-865.054] * (-942.651) (-921.552) (-929.503) [-864.507] -- 0:09:53
745000 -- (-937.889) (-937.119) (-924.719) [-864.310] * (-940.946) (-917.036) (-922.878) [-870.747] -- 0:09:51
Average standard deviation of split frequencies: 0.021801
746000 -- (-925.856) (-916.745) (-929.689) [-870.813] * (-947.476) (-914.135) (-921.677) [-871.285] -- 0:09:49
747000 -- (-930.991) (-919.395) (-920.888) [-864.992] * (-932.029) (-905.712) (-910.286) [-868.125] -- 0:09:46
748000 -- (-949.079) (-928.541) (-925.137) [-865.342] * (-930.692) (-909.887) (-907.921) [-868.680] -- 0:09:44
749000 -- (-935.611) (-938.277) (-920.833) [-861.863] * (-929.793) (-912.440) (-907.784) [-866.642] -- 0:09:41
750000 -- (-943.964) (-932.770) (-916.447) [-857.785] * (-934.453) (-914.696) (-913.214) [-874.740] -- 0:09:39
Average standard deviation of split frequencies: 0.021508
751000 -- (-934.792) (-930.344) (-904.219) [-865.460] * (-935.344) (-918.133) (-913.825) [-871.243] -- 0:09:36
752000 -- (-920.169) (-941.783) (-914.677) [-862.103] * (-936.473) (-918.375) (-914.134) [-877.776] -- 0:09:34
753000 -- (-926.437) (-950.731) (-911.985) [-860.581] * (-933.788) (-909.778) (-919.708) [-878.802] -- 0:09:32
754000 -- (-941.074) (-947.765) (-912.662) [-860.993] * (-920.439) (-915.839) (-909.209) [-876.176] -- 0:09:29
755000 -- (-925.683) (-932.057) (-916.190) [-861.474] * (-927.008) (-923.325) (-903.124) [-880.570] -- 0:09:26
Average standard deviation of split frequencies: 0.020993
756000 -- (-914.248) (-937.060) (-922.409) [-863.384] * (-927.763) (-921.304) (-904.925) [-875.101] -- 0:09:24
757000 -- (-922.986) (-944.937) (-927.547) [-861.728] * (-926.533) (-915.907) (-910.782) [-883.674] -- 0:09:22
758000 -- (-934.817) (-927.955) (-921.472) [-858.330] * (-937.428) (-911.696) (-913.000) [-885.537] -- 0:09:19
759000 -- (-930.063) (-938.989) (-925.698) [-867.043] * (-912.039) (-909.413) (-916.866) [-880.275] -- 0:09:17
760000 -- (-933.603) (-931.575) (-922.597) [-865.466] * (-921.988) (-909.033) (-916.997) [-873.650] -- 0:09:15
Average standard deviation of split frequencies: 0.020524
761000 -- (-932.544) (-926.086) (-921.360) [-871.979] * (-932.271) (-918.903) (-922.830) [-869.447] -- 0:09:12
762000 -- (-935.644) (-925.028) (-910.477) [-879.832] * (-933.467) (-941.328) (-905.985) [-876.602] -- 0:09:10
763000 -- (-926.335) (-912.727) (-904.445) [-875.856] * (-931.262) (-934.246) (-909.980) [-876.199] -- 0:09:07
764000 -- (-925.516) (-922.438) (-919.505) [-872.871] * (-935.087) (-916.695) (-907.838) [-872.913] -- 0:09:05
765000 -- (-916.928) (-934.096) (-911.652) [-866.063] * (-932.404) (-931.289) (-916.673) [-865.558] -- 0:09:03
Average standard deviation of split frequencies: 0.020309
766000 -- (-930.494) (-928.576) (-919.710) [-858.925] * (-932.871) (-915.306) (-913.956) [-866.193] -- 0:09:00
767000 -- (-937.714) (-929.608) (-934.308) [-858.422] * (-927.403) (-916.293) (-915.730) [-868.986] -- 0:08:58
768000 -- (-928.918) (-930.136) (-923.631) [-861.773] * (-923.323) (-910.547) (-913.798) [-868.914] -- 0:08:55
769000 -- (-929.498) (-926.087) (-922.239) [-860.569] * (-949.871) (-901.230) (-931.174) [-865.650] -- 0:08:53
770000 -- (-925.139) (-910.100) (-927.891) [-865.507] * (-954.687) (-915.768) (-922.059) [-866.171] -- 0:08:51
Average standard deviation of split frequencies: 0.020126
771000 -- (-919.073) (-919.142) (-939.494) [-871.046] * (-942.678) (-910.918) (-919.325) [-863.054] -- 0:08:48
772000 -- (-910.624) (-915.917) (-927.616) [-867.882] * (-938.091) (-908.247) (-924.316) [-866.457] -- 0:08:46
773000 -- (-925.103) (-927.478) (-930.945) [-862.242] * (-929.948) (-908.233) (-927.514) [-868.154] -- 0:08:43
774000 -- (-927.064) (-920.135) (-924.051) [-862.488] * (-940.008) (-918.091) (-927.307) [-878.564] -- 0:08:41
775000 -- (-929.788) (-928.882) (-939.909) [-874.547] * (-921.045) (-913.550) (-937.840) [-883.032] -- 0:08:39
Average standard deviation of split frequencies: 0.019821
776000 -- (-926.346) (-922.445) (-927.271) [-865.951] * (-922.651) (-909.385) (-933.790) [-874.195] -- 0:08:36
777000 -- (-921.730) (-926.588) (-918.677) [-875.130] * (-919.429) (-908.533) (-924.744) [-872.314] -- 0:08:34
778000 -- (-922.606) (-927.200) (-916.457) [-871.582] * (-923.959) (-909.782) (-927.125) [-874.113] -- 0:08:32
779000 -- (-926.668) (-941.450) (-905.871) [-873.849] * (-934.781) (-912.163) (-929.792) [-866.413] -- 0:08:30
780000 -- (-921.659) (-938.521) (-905.118) [-875.871] * (-925.367) (-915.723) (-927.452) [-873.887] -- 0:08:28
Average standard deviation of split frequencies: 0.019465
781000 -- (-924.158) (-939.053) (-907.682) [-875.951] * (-929.522) (-932.069) (-920.733) [-862.859] -- 0:08:26
782000 -- (-930.847) (-948.168) (-916.840) [-876.273] * (-931.660) (-916.094) (-924.812) [-854.129] -- 0:08:23
783000 -- (-916.973) (-946.639) (-911.089) [-878.023] * (-923.994) (-913.228) (-912.330) [-860.154] -- 0:08:21
784000 -- (-912.564) (-931.716) (-913.777) [-872.362] * (-922.120) (-907.012) (-918.314) [-856.877] -- 0:08:19
785000 -- (-917.158) (-931.785) (-914.204) [-865.905] * (-928.861) (-912.899) (-924.848) [-851.480] -- 0:08:17
Average standard deviation of split frequencies: 0.019169
786000 -- (-922.778) (-942.468) (-916.015) [-866.477] * (-921.865) (-910.776) (-927.966) [-846.868] -- 0:08:15
787000 -- (-931.576) (-937.671) (-910.999) [-869.060] * (-920.080) (-911.761) (-914.767) [-862.003] -- 0:08:12
788000 -- (-924.342) (-932.989) (-920.139) [-866.341] * (-927.048) (-911.190) (-913.408) [-868.587] -- 0:08:10
789000 -- (-930.535) (-924.883) (-919.213) [-868.482] * (-925.825) (-904.030) (-914.641) [-868.002] -- 0:08:08
790000 -- (-926.373) (-934.309) (-922.143) [-865.873] * (-934.356) (-906.390) (-912.386) [-874.539] -- 0:08:06
Average standard deviation of split frequencies: 0.018542
791000 -- (-938.289) (-920.352) (-921.229) [-865.760] * (-931.241) (-911.487) (-915.889) [-867.239] -- 0:08:04
792000 -- (-926.112) (-939.892) (-923.164) [-873.988] * (-939.373) (-915.880) (-907.633) [-861.270] -- 0:08:02
793000 -- (-941.696) (-938.698) (-922.774) [-876.091] * (-937.747) (-914.172) (-906.703) [-864.274] -- 0:07:59
794000 -- (-938.962) (-927.273) (-922.210) [-874.285] * (-923.909) (-915.160) (-911.093) [-875.384] -- 0:07:57
795000 -- (-942.011) (-930.315) (-918.718) [-877.915] * (-923.716) (-923.945) (-921.000) [-866.172] -- 0:07:55
Average standard deviation of split frequencies: 0.018465
796000 -- (-938.996) (-935.084) (-914.217) [-874.437] * (-920.413) (-931.523) (-916.589) [-870.908] -- 0:07:53
797000 -- (-936.055) (-921.982) (-930.377) [-871.611] * (-916.721) (-912.705) (-908.891) [-860.894] -- 0:07:50
798000 -- (-939.889) (-919.692) (-930.232) [-880.475] * (-920.335) (-914.976) (-920.957) [-872.184] -- 0:07:48
799000 -- (-931.838) (-925.401) (-911.443) [-875.402] * (-915.739) (-920.805) (-907.182) [-871.857] -- 0:07:46
800000 -- (-927.438) (-933.444) (-920.332) [-868.931] * (-918.937) (-924.360) (-906.795) [-876.371] -- 0:07:44
Average standard deviation of split frequencies: 0.018428
801000 -- (-935.127) (-928.508) (-926.777) [-867.302] * (-918.378) (-916.004) (-914.015) [-873.682] -- 0:07:42
802000 -- (-932.669) (-938.747) (-918.584) [-867.905] * (-915.689) (-925.895) (-911.488) [-872.261] -- 0:07:39
803000 -- (-936.582) (-933.827) (-916.560) [-862.289] * (-927.626) (-929.321) (-910.083) [-869.134] -- 0:07:37
804000 -- (-934.838) (-926.497) (-922.925) [-873.708] * (-936.508) (-932.673) (-913.174) [-873.833] -- 0:07:35
805000 -- (-929.005) (-930.835) (-920.169) [-875.374] * (-927.030) (-937.780) (-909.697) [-868.882] -- 0:07:33
Average standard deviation of split frequencies: 0.018412
806000 -- (-931.508) (-927.376) (-935.177) [-863.207] * (-930.066) (-913.875) (-913.811) [-872.228] -- 0:07:31
807000 -- (-933.362) (-921.637) (-934.074) [-874.557] * (-931.526) (-916.145) (-908.626) [-870.617] -- 0:07:28
808000 -- (-942.321) (-940.266) (-927.918) [-871.816] * (-922.670) (-907.255) (-916.224) [-862.942] -- 0:07:26
809000 -- (-941.375) (-920.444) (-916.753) [-866.866] * (-923.779) (-911.277) (-912.884) [-864.494] -- 0:07:24
810000 -- (-938.367) (-929.473) (-918.204) [-865.653] * (-927.480) (-921.189) (-910.238) [-867.688] -- 0:07:22
Average standard deviation of split frequencies: 0.018457
811000 -- (-930.035) (-922.065) (-924.587) [-862.650] * (-937.241) (-924.468) (-916.021) [-872.631] -- 0:07:19
812000 -- (-921.532) (-917.760) (-927.189) [-866.450] * (-927.924) (-923.340) (-922.025) [-866.735] -- 0:07:17
813000 -- (-919.261) (-909.533) (-934.293) [-871.117] * (-930.083) (-925.873) (-922.903) [-863.539] -- 0:07:15
814000 -- (-935.142) (-924.045) (-934.909) [-866.977] * (-933.567) (-917.184) (-920.918) [-866.485] -- 0:07:13
815000 -- (-934.495) (-922.158) (-921.432) [-859.041] * (-932.178) (-905.430) (-920.440) [-863.064] -- 0:07:11
Average standard deviation of split frequencies: 0.018544
816000 -- (-935.006) (-923.363) (-926.647) [-855.675] * (-930.117) (-905.301) (-925.994) [-864.991] -- 0:07:08
817000 -- (-937.887) (-928.562) (-921.845) [-859.237] * (-927.075) (-919.247) (-925.484) [-868.784] -- 0:07:06
818000 -- (-934.085) (-919.197) (-925.368) [-860.987] * (-914.581) (-922.266) (-935.571) [-872.149] -- 0:07:04
819000 -- (-936.223) (-925.327) (-921.290) [-853.997] * (-922.138) (-916.855) (-925.760) [-874.077] -- 0:07:01
820000 -- (-957.029) (-923.829) (-919.218) [-863.711] * (-926.007) (-921.238) (-919.010) [-876.751] -- 0:06:59
Average standard deviation of split frequencies: 0.018565
821000 -- (-949.482) (-933.840) (-912.640) [-866.140] * (-922.665) (-921.853) (-916.300) [-870.859] -- 0:06:57
822000 -- (-939.712) (-919.158) (-907.911) [-861.153] * (-923.007) (-923.930) (-914.339) [-868.042] -- 0:06:55
823000 -- (-943.244) (-929.715) (-918.596) [-870.491] * (-925.941) (-921.625) (-912.841) [-864.991] -- 0:06:52
824000 -- (-939.261) (-929.272) (-930.577) [-876.749] * (-935.627) (-924.220) (-934.244) [-872.361] -- 0:06:50
825000 -- (-942.801) (-945.130) (-921.245) [-868.447] * (-927.117) (-928.720) (-931.134) [-883.945] -- 0:06:48
Average standard deviation of split frequencies: 0.018571
826000 -- (-934.712) (-936.224) (-923.335) [-865.946] * (-924.621) (-923.677) (-925.769) [-870.877] -- 0:06:46
827000 -- (-943.977) (-926.590) (-917.139) [-872.207] * (-916.971) (-929.340) (-918.820) [-868.560] -- 0:06:43
828000 -- (-925.798) (-919.225) (-927.985) [-874.088] * (-932.380) (-921.405) (-913.220) [-871.886] -- 0:06:41
829000 -- (-929.465) (-914.945) (-920.837) [-881.195] * (-939.396) (-922.596) (-922.081) [-884.644] -- 0:06:39
830000 -- (-934.671) (-914.787) (-937.979) [-872.724] * (-931.900) (-929.837) (-914.630) [-892.850] -- 0:06:37
Average standard deviation of split frequencies: 0.018557
831000 -- (-919.381) (-915.780) (-925.727) [-874.168] * (-931.667) (-919.871) (-926.356) [-880.859] -- 0:06:35
832000 -- (-931.699) (-921.969) (-921.478) [-876.996] * (-928.486) (-916.894) (-928.874) [-879.269] -- 0:06:32
833000 -- (-937.908) (-925.377) (-930.534) [-869.922] * (-922.158) (-922.761) (-916.399) [-878.784] -- 0:06:30
834000 -- (-923.398) (-924.531) (-930.651) [-878.049] * (-934.463) (-918.064) (-936.211) [-873.139] -- 0:06:27
835000 -- (-915.399) (-923.114) (-928.944) [-877.045] * (-927.773) (-917.637) (-917.761) [-877.709] -- 0:06:25
Average standard deviation of split frequencies: 0.018721
836000 -- (-924.936) (-924.387) (-935.474) [-868.173] * (-925.286) (-926.457) (-930.877) [-883.088] -- 0:06:22
837000 -- (-922.729) (-918.339) (-933.768) [-870.846] * (-926.487) (-918.569) (-941.424) [-866.232] -- 0:06:20
838000 -- (-924.043) (-917.958) (-934.243) [-872.039] * (-918.814) (-913.432) (-932.113) [-864.544] -- 0:06:18
839000 -- (-920.895) (-922.373) (-935.291) [-873.415] * (-922.705) (-917.068) (-934.169) [-871.206] -- 0:06:15
840000 -- (-926.743) (-926.661) (-938.751) [-873.107] * (-926.978) (-911.120) (-934.273) [-898.755] -- 0:06:13
Average standard deviation of split frequencies: 0.018763
841000 -- (-918.798) (-920.860) (-925.823) [-875.848] * (-918.087) (-915.958) (-936.071) [-874.193] -- 0:06:10
842000 -- (-923.781) (-940.035) (-926.754) [-872.528] * (-920.947) (-907.705) (-934.236) [-874.201] -- 0:06:08
843000 -- (-925.160) (-942.096) (-920.859) [-867.889] * (-925.401) (-911.838) (-915.700) [-863.556] -- 0:06:06
844000 -- (-937.937) (-941.344) (-933.413) [-869.095] * (-923.246) (-920.174) (-924.055) [-880.130] -- 0:06:03
845000 -- (-931.821) (-941.513) (-937.684) [-871.525] * (-920.666) (-927.833) (-928.460) [-874.266] -- 0:06:01
Average standard deviation of split frequencies: 0.018823
846000 -- (-926.307) (-941.478) (-938.060) [-877.934] * (-934.563) (-921.816) (-924.882) [-880.265] -- 0:05:58
847000 -- (-922.813) (-930.525) (-929.014) [-877.335] * (-941.803) (-931.474) (-914.978) [-877.917] -- 0:05:56
848000 -- (-928.612) (-923.958) (-932.520) [-884.475] * (-932.803) (-917.334) (-930.058) [-867.225] -- 0:05:54
849000 -- (-921.043) (-935.880) (-938.716) [-883.425] * (-931.781) (-920.589) (-931.208) [-877.646] -- 0:05:51
850000 -- (-930.249) (-923.156) (-933.353) [-875.517] * (-930.976) (-928.985) (-924.244) [-864.930] -- 0:05:49
Average standard deviation of split frequencies: 0.018897
851000 -- (-921.309) (-929.365) (-942.175) [-863.356] * (-925.680) (-924.632) (-922.280) [-879.034] -- 0:05:47
852000 -- (-922.404) (-931.370) (-933.494) [-870.871] * (-935.789) (-926.433) (-927.415) [-879.678] -- 0:05:44
853000 -- (-927.026) (-926.011) (-940.053) [-862.460] * (-943.977) (-922.409) (-933.539) [-887.179] -- 0:05:42
854000 -- (-920.326) (-926.431) (-947.618) [-880.126] * (-935.997) (-903.233) (-924.961) [-880.819] -- 0:05:40
855000 -- (-915.175) (-937.446) (-939.736) [-872.426] * (-921.749) (-909.053) (-913.657) [-890.527] -- 0:05:38
Average standard deviation of split frequencies: 0.018955
856000 -- (-920.119) (-926.016) (-937.523) [-879.686] * (-921.295) (-910.867) (-925.333) [-870.529] -- 0:05:35
857000 -- (-937.075) (-926.497) (-925.822) [-873.465] * (-933.646) (-909.461) (-927.167) [-878.947] -- 0:05:33
858000 -- (-937.189) (-942.242) (-947.074) [-867.279] * (-941.614) (-910.449) (-925.892) [-871.697] -- 0:05:31
859000 -- (-931.403) (-926.125) (-935.534) [-868.339] * (-928.798) (-910.379) (-931.454) [-877.184] -- 0:05:28
860000 -- (-939.284) (-920.297) (-941.579) [-858.824] * (-919.598) (-922.084) (-937.837) [-870.307] -- 0:05:26
Average standard deviation of split frequencies: 0.018612
861000 -- (-922.908) (-928.213) (-938.357) [-862.461] * (-915.223) (-918.294) (-938.069) [-866.911] -- 0:05:23
862000 -- (-926.655) (-933.205) (-939.828) [-864.606] * (-932.829) (-915.093) (-935.421) [-872.284] -- 0:05:21
863000 -- (-937.407) (-920.234) (-947.694) [-863.763] * (-930.555) (-912.377) (-919.733) [-875.040] -- 0:05:19
864000 -- (-936.534) (-912.996) (-934.055) [-866.223] * (-928.163) (-911.340) (-926.351) [-871.923] -- 0:05:16
865000 -- (-930.706) (-907.536) (-942.523) [-867.142] * (-923.162) (-920.094) (-944.039) [-875.559] -- 0:05:14
Average standard deviation of split frequencies: 0.018682
866000 -- (-941.862) (-921.461) (-936.287) [-864.952] * (-940.808) (-911.976) (-945.022) [-861.989] -- 0:05:12
867000 -- (-934.442) (-921.351) (-941.485) [-874.532] * (-944.584) (-913.861) (-933.387) [-861.649] -- 0:05:09
868000 -- (-938.089) (-940.064) (-939.109) [-876.875] * (-930.652) (-913.958) (-928.347) [-867.237] -- 0:05:07
869000 -- (-932.696) (-923.467) (-937.276) [-874.681] * (-935.290) (-916.290) (-918.914) [-858.268] -- 0:05:04
870000 -- (-938.093) (-914.465) (-932.964) [-863.869] * (-933.930) (-921.774) (-925.295) [-867.957] -- 0:05:02
Average standard deviation of split frequencies: 0.018744
871000 -- (-950.364) (-907.960) (-935.037) [-859.539] * (-932.152) (-927.718) (-928.184) [-870.344] -- 0:05:00
872000 -- (-958.290) (-912.110) (-930.479) [-858.327] * (-930.236) (-920.431) (-934.622) [-866.473] -- 0:04:57
873000 -- (-937.177) (-919.517) (-915.944) [-867.079] * (-930.533) (-930.685) (-928.595) [-879.101] -- 0:04:55
874000 -- (-926.557) (-922.698) (-925.210) [-867.199] * (-929.104) (-927.876) (-922.980) [-884.053] -- 0:04:53
875000 -- (-922.395) (-939.414) (-924.383) [-866.300] * (-926.714) (-930.327) (-934.046) [-885.622] -- 0:04:50
Average standard deviation of split frequencies: 0.019018
876000 -- (-913.258) (-921.634) (-920.139) [-875.146] * (-933.495) (-926.243) (-931.882) [-880.418] -- 0:04:48
877000 -- (-916.063) (-927.548) (-920.486) [-863.905] * (-930.677) (-925.480) (-923.567) [-876.317] -- 0:04:45
878000 -- (-922.984) (-936.247) (-924.023) [-876.176] * (-920.765) (-928.007) (-919.095) [-871.886] -- 0:04:43
879000 -- (-910.069) (-926.172) (-921.404) [-877.284] * (-923.550) (-927.045) (-914.028) [-879.669] -- 0:04:41
880000 -- (-920.709) (-936.346) (-909.874) [-863.498] * (-929.552) (-937.776) (-926.805) [-878.575] -- 0:04:38
Average standard deviation of split frequencies: 0.019356
881000 -- (-937.120) (-918.312) (-910.566) [-872.442] * (-930.521) (-916.218) (-932.673) [-875.874] -- 0:04:36
882000 -- (-937.109) (-922.503) (-915.713) [-870.682] * (-924.360) (-917.345) (-923.853) [-874.352] -- 0:04:34
883000 -- (-929.045) (-931.437) (-921.278) [-881.424] * (-920.842) (-921.243) (-924.340) [-873.342] -- 0:04:31
884000 -- (-925.527) (-930.926) (-918.916) [-873.132] * (-919.006) (-930.598) (-915.024) [-875.042] -- 0:04:29
885000 -- (-924.194) (-931.436) (-925.517) [-871.482] * (-917.098) (-913.962) (-911.356) [-867.303] -- 0:04:27
Average standard deviation of split frequencies: 0.019707
886000 -- (-928.173) (-925.131) (-921.640) [-870.214] * (-920.475) (-909.490) (-914.236) [-876.198] -- 0:04:24
887000 -- (-920.733) (-930.641) (-922.354) [-864.059] * (-918.375) (-911.850) (-911.888) [-873.617] -- 0:04:22
888000 -- (-937.227) (-930.848) (-928.714) [-865.983] * (-926.719) (-918.660) (-908.667) [-880.087] -- 0:04:19
889000 -- (-925.717) (-933.565) (-915.026) [-872.624] * (-937.159) (-926.772) (-905.874) [-879.807] -- 0:04:17
890000 -- (-935.697) (-927.142) (-919.668) [-870.593] * (-915.798) (-920.907) (-913.915) [-868.147] -- 0:04:15
Average standard deviation of split frequencies: 0.019816
891000 -- (-923.475) (-928.751) (-925.400) [-875.587] * (-936.316) (-914.929) (-919.456) [-865.406] -- 0:04:12
892000 -- (-923.881) (-922.130) (-915.610) [-867.536] * (-912.995) (-918.206) (-918.980) [-864.080] -- 0:04:10
893000 -- (-931.543) (-925.460) (-934.366) [-873.545] * (-921.596) (-918.621) (-932.162) [-870.838] -- 0:04:08
894000 -- (-927.882) (-927.371) (-933.185) [-869.654] * (-929.945) (-933.330) (-936.315) [-870.105] -- 0:04:05
895000 -- (-926.274) (-934.174) (-924.447) [-873.608] * (-933.599) (-933.001) (-930.101) [-864.756] -- 0:04:03
Average standard deviation of split frequencies: 0.019866
896000 -- (-926.698) (-936.958) (-925.568) [-869.429] * (-936.524) (-917.388) (-921.360) [-873.682] -- 0:04:01
897000 -- (-925.896) (-932.486) (-916.434) [-872.921] * (-936.895) (-930.468) (-911.393) [-858.954] -- 0:03:58
898000 -- (-921.775) (-926.688) (-927.910) [-875.731] * (-944.334) (-925.427) (-902.374) [-854.106] -- 0:03:56
899000 -- (-934.601) (-925.716) (-925.487) [-867.938] * (-940.133) (-913.441) (-912.837) [-865.409] -- 0:03:54
900000 -- (-927.564) (-940.253) (-926.462) [-875.462] * (-939.398) (-918.482) (-898.524) [-870.189] -- 0:03:51
Average standard deviation of split frequencies: 0.019617
901000 -- (-940.140) (-937.403) (-929.114) [-871.197] * (-931.156) (-912.187) (-901.769) [-870.715] -- 0:03:49
902000 -- (-938.839) (-941.064) (-924.171) [-868.242] * (-918.645) (-917.376) (-905.466) [-867.291] -- 0:03:47
903000 -- (-923.158) (-945.716) (-917.045) [-871.865] * (-927.630) (-922.922) (-908.138) [-865.086] -- 0:03:44
904000 -- (-927.402) (-942.109) (-921.239) [-883.720] * (-940.232) (-921.560) (-903.096) [-868.567] -- 0:03:42
905000 -- (-932.293) (-921.372) (-920.303) [-879.162] * (-951.575) (-917.913) (-919.289) [-860.360] -- 0:03:40
Average standard deviation of split frequencies: 0.019272
906000 -- (-920.116) (-931.534) (-921.850) [-879.159] * (-934.616) (-908.973) (-906.590) [-868.619] -- 0:03:37
907000 -- (-920.245) (-925.259) (-921.053) [-869.497] * (-935.429) (-924.138) (-915.442) [-868.114] -- 0:03:35
908000 -- (-920.945) (-933.704) (-940.899) [-875.854] * (-943.457) (-925.314) (-917.601) [-868.331] -- 0:03:32
909000 -- (-931.006) (-925.909) (-925.676) [-881.563] * (-931.998) (-919.478) (-913.319) [-861.556] -- 0:03:30
910000 -- (-927.458) (-922.963) (-934.223) [-878.528] * (-933.243) (-927.015) (-906.592) [-871.504] -- 0:03:28
Average standard deviation of split frequencies: 0.018915
911000 -- (-923.905) (-931.286) (-935.329) [-884.413] * (-937.415) (-944.754) (-909.013) [-862.513] -- 0:03:25
912000 -- (-923.330) (-920.569) (-924.046) [-871.509] * (-932.078) (-944.838) (-913.191) [-861.953] -- 0:03:23
913000 -- (-932.010) (-921.542) (-927.453) [-868.590] * (-931.379) (-935.135) (-909.735) [-862.630] -- 0:03:21
914000 -- (-944.595) (-931.763) (-914.545) [-861.661] * (-935.763) (-928.851) (-903.013) [-856.631] -- 0:03:18
915000 -- (-931.752) (-932.253) (-908.202) [-860.884] * (-939.726) (-918.932) (-909.429) [-859.365] -- 0:03:16
Average standard deviation of split frequencies: 0.019031
916000 -- (-930.623) (-943.028) (-914.515) [-862.951] * (-937.828) (-929.259) (-911.625) [-868.069] -- 0:03:14
917000 -- (-930.308) (-939.697) (-919.361) [-859.894] * (-933.549) (-918.350) (-920.297) [-870.333] -- 0:03:11
918000 -- (-933.502) (-934.885) (-918.781) [-869.796] * (-923.619) (-916.002) (-916.886) [-869.352] -- 0:03:09
919000 -- (-935.661) (-934.208) (-923.955) [-869.969] * (-929.790) (-917.443) (-919.557) [-870.974] -- 0:03:07
920000 -- (-929.324) (-935.846) (-914.534) [-876.422] * (-933.070) (-910.627) (-925.574) [-873.040] -- 0:03:04
Average standard deviation of split frequencies: 0.019436
921000 -- (-929.843) (-931.409) (-917.194) [-871.129] * (-928.949) (-916.307) (-915.528) [-859.817] -- 0:03:02
922000 -- (-925.024) (-934.510) (-923.411) [-868.648] * (-934.167) (-910.556) (-918.129) [-871.240] -- 0:03:00
923000 -- (-934.191) (-926.616) (-914.021) [-868.287] * (-933.422) (-909.462) (-920.087) [-866.989] -- 0:02:57
924000 -- (-929.544) (-939.947) (-926.236) [-862.968] * (-933.007) (-918.804) (-938.281) [-866.940] -- 0:02:55
925000 -- (-933.853) (-943.632) (-923.914) [-865.149] * (-956.484) (-917.008) (-929.098) [-872.624] -- 0:02:53
Average standard deviation of split frequencies: 0.019213
926000 -- (-929.302) (-945.351) (-919.152) [-871.988] * (-925.491) (-919.489) (-921.782) [-876.353] -- 0:02:50
927000 -- (-929.464) (-945.800) (-917.828) [-866.494] * (-934.912) (-915.480) (-924.503) [-877.927] -- 0:02:48
928000 -- (-928.942) (-940.538) (-912.763) [-874.262] * (-929.422) (-913.109) (-923.352) [-867.435] -- 0:02:46
929000 -- (-936.459) (-928.358) (-915.916) [-879.827] * (-940.078) (-913.943) (-913.742) [-866.780] -- 0:02:43
930000 -- (-935.569) (-933.059) (-928.979) [-862.950] * (-927.483) (-924.730) (-914.736) [-857.505] -- 0:02:41
Average standard deviation of split frequencies: 0.019542
931000 -- (-930.152) (-935.837) (-927.346) [-864.493] * (-921.135) (-924.732) (-927.582) [-862.772] -- 0:02:39
932000 -- (-915.461) (-937.555) (-930.387) [-853.641] * (-925.457) (-913.882) (-919.596) [-854.514] -- 0:02:36
933000 -- (-930.707) (-944.201) (-927.680) [-858.422] * (-923.966) (-908.710) (-913.265) [-863.849] -- 0:02:34
934000 -- (-928.870) (-937.326) (-923.690) [-856.187] * (-929.237) (-917.921) (-915.601) [-862.928] -- 0:02:32
935000 -- (-919.280) (-938.896) (-916.943) [-858.559] * (-922.356) (-928.632) (-928.007) [-856.565] -- 0:02:30
Average standard deviation of split frequencies: 0.019964
936000 -- (-923.450) (-922.021) (-921.201) [-859.080] * (-915.684) (-917.732) (-927.974) [-860.357] -- 0:02:27
937000 -- (-927.551) (-917.036) (-921.289) [-867.322] * (-928.174) (-919.286) (-904.686) [-850.622] -- 0:02:25
938000 -- (-921.815) (-931.016) (-919.881) [-867.031] * (-918.717) (-909.067) (-908.505) [-868.051] -- 0:02:23
939000 -- (-933.577) (-922.196) (-912.379) [-868.576] * (-925.252) (-909.447) (-920.401) [-857.249] -- 0:02:20
940000 -- (-924.324) (-924.598) (-916.848) [-869.322] * (-926.967) (-918.369) (-915.661) [-865.211] -- 0:02:18
Average standard deviation of split frequencies: 0.020256
941000 -- (-919.473) (-912.827) (-916.158) [-869.595] * (-937.476) (-922.817) (-913.201) [-861.000] -- 0:02:16
942000 -- (-918.143) (-921.251) (-917.347) [-872.912] * (-916.915) (-923.671) (-914.232) [-856.127] -- 0:02:14
943000 -- (-913.539) (-932.111) (-917.691) [-874.437] * (-925.420) (-923.567) (-915.342) [-861.609] -- 0:02:11
944000 -- (-919.073) (-931.011) (-919.027) [-868.621] * (-927.778) (-916.453) (-910.347) [-862.157] -- 0:02:09
945000 -- (-908.400) (-938.188) (-932.739) [-867.841] * (-917.256) (-921.432) (-899.613) [-852.854] -- 0:02:07
Average standard deviation of split frequencies: 0.020341
946000 -- (-909.556) (-942.207) (-926.994) [-869.497] * (-922.218) (-925.402) (-907.993) [-863.181] -- 0:02:04
947000 -- (-916.790) (-939.698) (-921.666) [-873.708] * (-922.049) (-922.511) (-916.999) [-865.383] -- 0:02:02
948000 -- (-911.866) (-932.680) (-936.228) [-871.462] * (-931.058) (-919.497) (-910.858) [-864.632] -- 0:02:00
949000 -- (-911.083) (-923.677) (-933.231) [-869.822] * (-929.777) (-924.026) (-917.267) [-861.817] -- 0:01:58
950000 -- (-916.316) (-917.657) (-926.991) [-868.046] * (-926.741) (-924.404) (-914.932) [-859.812] -- 0:01:55
Average standard deviation of split frequencies: 0.019983
951000 -- (-925.385) (-932.006) (-926.480) [-861.191] * (-924.690) (-930.343) (-913.321) [-854.867] -- 0:01:53
952000 -- (-924.386) (-927.875) (-918.647) [-867.727] * (-923.341) (-920.938) (-909.393) [-851.783] -- 0:01:51
953000 -- (-928.888) (-942.780) (-920.120) [-860.188] * (-930.006) (-928.627) (-910.014) [-854.318] -- 0:01:48
954000 -- (-931.546) (-928.115) (-915.390) [-872.683] * (-935.849) (-918.658) (-924.656) [-849.346] -- 0:01:46
955000 -- (-946.753) (-914.161) (-916.849) [-861.961] * (-938.592) (-928.706) (-917.878) [-860.759] -- 0:01:44
Average standard deviation of split frequencies: 0.020227
956000 -- (-934.993) (-916.692) (-931.061) [-861.964] * (-928.300) (-930.197) (-915.540) [-868.040] -- 0:01:41
957000 -- (-936.661) (-923.686) (-925.299) [-861.676] * (-927.096) (-915.697) (-920.824) [-858.200] -- 0:01:39
958000 -- (-929.509) (-926.046) (-923.352) [-876.615] * (-922.175) (-913.578) (-924.631) [-851.584] -- 0:01:37
959000 -- (-923.911) (-915.043) (-923.007) [-878.290] * (-932.130) (-933.707) (-911.053) [-856.837] -- 0:01:34
960000 -- (-926.923) (-922.683) (-916.574) [-875.540] * (-941.721) (-931.268) (-916.990) [-865.326] -- 0:01:32
Average standard deviation of split frequencies: 0.019969
961000 -- (-918.903) (-925.758) (-928.305) [-879.481] * (-952.107) (-921.899) (-904.571) [-874.222] -- 0:01:30
962000 -- (-930.438) (-920.745) (-925.960) [-885.757] * (-945.896) (-920.651) (-912.672) [-874.542] -- 0:01:27
963000 -- (-938.353) (-908.650) (-918.171) [-867.724] * (-939.286) (-921.696) (-907.006) [-872.518] -- 0:01:25
964000 -- (-941.666) (-910.400) (-920.772) [-870.499] * (-931.578) (-928.000) (-911.235) [-870.182] -- 0:01:23
965000 -- (-938.620) (-919.918) (-913.370) [-879.165] * (-930.787) (-928.410) (-933.961) [-867.475] -- 0:01:20
Average standard deviation of split frequencies: 0.019928
966000 -- (-940.953) (-913.058) (-913.605) [-875.065] * (-929.402) (-921.690) (-934.339) [-865.726] -- 0:01:18
967000 -- (-928.814) (-924.175) (-913.266) [-865.792] * (-932.669) (-915.117) (-942.086) [-870.652] -- 0:01:16
968000 -- (-927.143) (-924.594) (-915.895) [-867.907] * (-920.564) (-917.998) (-937.966) [-863.461] -- 0:01:13
969000 -- (-939.214) (-932.196) (-928.442) [-874.074] * (-926.705) (-919.581) (-937.192) [-864.496] -- 0:01:11
970000 -- (-920.639) (-926.358) (-927.425) [-867.203] * (-930.727) (-912.651) (-934.684) [-875.501] -- 0:01:09
Average standard deviation of split frequencies: 0.019991
971000 -- (-926.384) (-909.923) (-929.656) [-876.743] * (-927.659) (-910.904) (-924.244) [-864.544] -- 0:01:07
972000 -- (-923.416) (-926.861) (-931.697) [-864.405] * (-924.605) (-919.445) (-917.761) [-864.008] -- 0:01:04
973000 -- (-909.601) (-930.964) (-923.804) [-867.329] * (-931.370) (-923.833) (-925.401) [-863.390] -- 0:01:02
974000 -- (-913.437) (-924.792) (-935.965) [-863.477] * (-942.997) (-919.596) (-920.704) [-854.335] -- 0:01:00
975000 -- (-920.883) (-924.979) (-928.057) [-867.521] * (-941.485) (-910.237) (-924.231) [-866.968] -- 0:00:57
Average standard deviation of split frequencies: 0.020039
976000 -- (-921.105) (-927.682) (-924.508) [-866.481] * (-930.158) (-930.647) (-914.554) [-873.190] -- 0:00:55
977000 -- (-923.538) (-933.741) (-921.194) [-866.521] * (-935.832) (-923.106) (-921.653) [-870.841] -- 0:00:53
978000 -- (-917.711) (-940.576) (-924.076) [-854.961] * (-942.065) (-925.280) (-921.356) [-870.544] -- 0:00:50
979000 -- (-925.359) (-943.788) (-928.972) [-858.791] * (-938.816) (-920.831) (-927.158) [-869.851] -- 0:00:48
980000 -- (-925.910) (-943.504) (-933.496) [-852.773] * (-928.885) (-935.467) (-917.989) [-863.382] -- 0:00:46
Average standard deviation of split frequencies: 0.020209
981000 -- (-910.434) (-942.168) (-938.064) [-861.218] * (-925.866) (-927.010) (-918.728) [-875.206] -- 0:00:44
982000 -- (-919.668) (-934.746) (-944.615) [-858.940] * (-925.180) (-914.251) (-918.451) [-865.076] -- 0:00:41
983000 -- (-906.979) (-940.592) (-926.878) [-852.243] * (-914.920) (-930.213) (-922.525) [-865.669] -- 0:00:39
984000 -- (-906.055) (-932.217) (-941.730) [-858.439] * (-920.753) (-942.576) (-928.353) [-862.353] -- 0:00:37
985000 -- (-910.878) (-932.494) (-939.926) [-851.090] * (-916.314) (-939.438) (-935.049) [-876.158] -- 0:00:34
Average standard deviation of split frequencies: 0.019712
986000 -- (-916.939) (-932.871) (-922.682) [-861.147] * (-924.518) (-929.022) (-932.621) [-875.153] -- 0:00:32
987000 -- (-919.268) (-927.623) (-936.908) [-858.576] * (-910.251) (-928.658) (-922.392) [-888.602] -- 0:00:30
988000 -- (-911.841) (-927.822) (-932.294) [-860.373] * (-917.725) (-916.894) (-926.116) [-866.779] -- 0:00:27
989000 -- (-919.031) (-931.955) (-923.761) [-859.248] * (-911.998) (-921.585) (-925.281) [-867.140] -- 0:00:25
990000 -- (-929.059) (-923.318) (-925.957) [-854.574] * (-910.122) (-916.090) (-922.754) [-869.507] -- 0:00:23
Average standard deviation of split frequencies: 0.019247
991000 -- (-924.160) (-936.157) (-930.713) [-855.148] * (-907.975) (-917.401) (-923.827) [-875.593] -- 0:00:20
992000 -- (-926.389) (-944.885) (-927.001) [-852.784] * (-918.608) (-919.288) (-927.024) [-867.382] -- 0:00:18
993000 -- (-926.422) (-931.973) (-924.423) [-854.927] * (-916.020) (-914.253) (-926.932) [-871.800] -- 0:00:16
994000 -- (-931.445) (-927.189) (-927.546) [-858.447] * (-919.862) (-918.298) (-921.995) [-872.011] -- 0:00:13
995000 -- (-932.108) (-936.849) (-928.007) [-861.927] * (-917.723) (-924.630) (-914.998) [-868.841] -- 0:00:11
Average standard deviation of split frequencies: 0.019135
996000 -- (-923.712) (-936.082) (-937.404) [-860.896] * (-915.427) (-911.559) (-919.594) [-878.870] -- 0:00:09
997000 -- (-932.419) (-943.436) (-927.069) [-859.653] * (-916.462) (-902.874) (-915.089) [-871.045] -- 0:00:06
998000 -- (-951.571) (-931.314) (-929.708) [-855.466] * (-920.326) (-911.207) (-918.932) [-884.508] -- 0:00:04
999000 -- (-937.154) (-924.915) (-940.714) [-868.815] * (-913.177) (-909.352) (-927.960) [-878.249] -- 0:00:02
1000000 -- (-934.431) (-923.968) (-925.708) [-874.059] * (-899.447) (-917.500) (-913.485) [-885.273] -- 0:00:00
Average standard deviation of split frequencies: 0.018922
Analysis completed in 38 mins 37 seconds
Analysis used 2314.67 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -843.22
Likelihood of best state for "cold" chain of run 2 was -894.99
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
66.1 % ( 59 %) Dirichlet(Revmat{all})
79.1 % ( 68 %) Slider(Revmat{all})
36.4 % ( 33 %) Dirichlet(Pi{all})
37.9 % ( 29 %) Slider(Pi{all})
74.6 % ( 58 %) Multiplier(Alpha{1,2})
69.1 % ( 26 %) Multiplier(Alpha{3})
81.1 % ( 64 %) Slider(Pinvar{all})
80.1 % ( 79 %) ExtSPR(Tau{all},V{all})
77.4 % ( 77 %) ExtTBR(Tau{all},V{all})
85.5 % ( 83 %) NNI(Tau{all},V{all})
66.1 % ( 55 %) ParsSPR(Tau{all},V{all})
27.7 % ( 28 %) Multiplier(V{all})
85.7 % ( 78 %) Nodeslider(V{all})
26.3 % ( 18 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
65.4 % ( 59 %) Dirichlet(Revmat{all})
79.5 % ( 76 %) Slider(Revmat{all})
36.2 % ( 27 %) Dirichlet(Pi{all})
37.3 % ( 30 %) Slider(Pi{all})
74.4 % ( 58 %) Multiplier(Alpha{1,2})
69.0 % ( 36 %) Multiplier(Alpha{3})
81.1 % ( 74 %) Slider(Pinvar{all})
80.2 % ( 83 %) ExtSPR(Tau{all},V{all})
77.9 % ( 82 %) ExtTBR(Tau{all},V{all})
85.7 % ( 87 %) NNI(Tau{all},V{all})
66.8 % ( 61 %) ParsSPR(Tau{all},V{all})
27.5 % ( 24 %) Multiplier(V{all})
85.4 % ( 83 %) Nodeslider(V{all})
26.5 % ( 34 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.00 0.00 0.00
2 | 166548 0.02 0.00
3 | 167449 166403 0.08
4 | 166492 166902 166206
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.00 0.00 0.00
2 | 166860 0.02 0.00
3 | 166707 167028 0.08
4 | 167068 166142 166195
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)
+------------------------------------------------------------+ -858.91
| 2 1 2 1 |
| 2 1 2 1|
| 21 |
| 11 1 1 22 1 2 1 * |
| 2 1 1 1 11 1 |
| 2 11* 1 2 1 1 1 1 2* 2 |
| 1 2 1 1 2 2 1 1 2 |
| 2 112 2 1 11 2 2 2 2 2 2 |
|12 2 2 2 2 2 1 2 * 12 1 |
|2 2 1 22 2 2 11 1 12 |
| 11 2 1 2 2 1 2 11 |
| 1 1 2 2 2 1 2|
| 11 2 |
| 2 1 2 1 |
| 2 2 2 2 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -877.82
^ ^
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 -850.92 -888.08
2 -853.32 -891.45
--------------------------------------
TOTAL -851.52 -890.79
--------------------------------------
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} 0.164578 0.000823 0.111860 0.220196 0.161947 1415.62 1458.31 1.001
r(A<->C){all} 0.199159 0.003740 0.086364 0.311865 0.195523 116.46 128.48 1.002
r(A<->G){all} 0.176318 0.003773 0.070536 0.299905 0.168607 151.18 174.27 1.004
r(A<->T){all} 0.127440 0.001865 0.041795 0.207809 0.123198 223.60 254.52 1.000
r(C<->G){all} 0.041855 0.000908 0.000027 0.097844 0.035025 231.27 237.36 1.008
r(C<->T){all} 0.341953 0.004700 0.219546 0.484541 0.338129 200.29 204.72 1.001
r(G<->T){all} 0.113274 0.001639 0.040613 0.194628 0.109191 110.91 226.02 1.001
pi(A){all} 0.195736 0.000461 0.155609 0.238168 0.195355 666.85 681.66 1.001
pi(C){all} 0.216270 0.000470 0.177797 0.262865 0.215314 611.11 660.80 1.000
pi(G){all} 0.249540 0.000541 0.204826 0.296451 0.248689 641.47 666.56 1.000
pi(T){all} 0.338454 0.000627 0.291041 0.388397 0.338213 519.87 602.23 1.000
alpha{1,2} 0.585315 0.460527 0.000019 1.988824 0.352292 464.58 489.06 1.000
alpha{3} 1.272820 1.034658 0.003058 3.357489 0.989755 487.76 571.89 1.000
pinvar{all} 0.403335 0.033312 0.047637 0.710626 0.418732 261.00 285.42 1.001
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
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 -- C34
2 -- C65
3 -- C619
4 -- C295
5 -- C192
6 -- C196
7 -- C325
8 -- C93
9 -- C597
10 -- C206
11 -- C208
12 -- C606
13 -- C331
14 -- C75
15 -- C231
16 -- C651
17 -- C230
18 -- C220
19 -- C337
20 -- C90
21 -- C72
22 -- C507
23 -- C545
24 -- C224
25 -- C344
26 -- C87
27 -- C228
28 -- C132
29 -- C531
30 -- C236
31 -- C350
32 -- C16
33 -- C366
34 -- C571
35 -- C13
36 -- C555
37 -- C248
38 -- C356
39 -- C99
40 -- C504
41 -- C252
42 -- C579
43 -- C260
44 -- C362
45 -- C60
46 -- C105
47 -- C642
48 -- C312
49 -- C603
50 -- C272
51 -- C368
52 -- C111
53 -- C182
54 -- C628
55 -- C627
56 -- C389
57 -- C284
58 -- C374
59 -- C117
60 -- C326
61 -- C97
62 -- C317
63 -- C552
64 -- C380
65 -- C123
66 -- C68
67 -- C648
68 -- C165
69 -- C427
70 -- C351
71 -- C572
72 -- C385
73 -- C129
74 -- C315
75 -- C493
76 -- C381
77 -- C584
78 -- C561
79 -- C391
80 -- C135
81 -- C465
82 -- C559
83 -- C411
84 -- C596
85 -- C397
86 -- C141
87 -- C615
88 -- C625
89 -- C575
90 -- C441
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 -- ...............................*..........................*............
131 -- .....*.............................................*..............*....
132 -- .....*............................................................*....
133 -- ..........................................................*............
134 -- ...............................*.......................................
135 -- .*...*............*............*.............*.....*......*....*..**...
136 -- ...............................*..........................*............
137 -- .....*............*............*.............*.....*...........*..**...
138 -- ..***.****.**.*.**.********.***.**.*.*******....***.******.****.....***
--------------------------------------------------------------------------------
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 -- ...................
131 -- ...................
132 -- .........*.........
133 -- ..................*
134 -- ..................*
135 -- .........*........*
136 -- ..................*
137 -- .........*.........
138 -- *.*******.****.***.
--------------------------------------------------------------------------------
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 2990 0.996003 0.004711 0.992672 0.999334 2
95 2970 0.989340 0.004711 0.986009 0.992672 2
96 2959 0.985676 0.008951 0.979347 0.992005 2
97 2891 0.963025 0.008951 0.956696 0.969354 2
98 2731 0.909727 0.029679 0.888741 0.930713 2
99 2591 0.863091 0.054175 0.824783 0.901399 2
100 2520 0.839440 0.048993 0.804797 0.874084 2
101 1480 0.493005 0.009422 0.486342 0.499667 2
102 1344 0.447702 0.003769 0.445037 0.450366 2
103 1236 0.411726 0.228950 0.249833 0.573618 2
104 1013 0.337442 0.002355 0.335776 0.339107 2
105 1003 0.334111 0.035332 0.309127 0.359094 2
106 1000 0.333111 0.007537 0.327781 0.338441 2
107 985 0.328115 0.011777 0.319787 0.336442 2
108 907 0.302132 0.037216 0.275816 0.328448 2
109 889 0.296136 0.042869 0.265823 0.326449 2
110 794 0.264490 0.023555 0.247835 0.281146 2
111 764 0.254497 0.012248 0.245836 0.263158 2
112 631 0.210193 0.006124 0.205863 0.214524 2
113 616 0.205197 0.006595 0.200533 0.209860 2
114 609 0.202865 0.020257 0.188541 0.217189 2
115 598 0.199201 0.024497 0.181879 0.216522 2
116 595 0.198201 0.019315 0.184544 0.211859 2
117 593 0.197535 0.000471 0.197202 0.197868 2
118 587 0.195536 0.002355 0.193871 0.197202 2
119 584 0.194537 0.011306 0.186542 0.202532 2
120 582 0.193871 0.004711 0.190540 0.197202 2
121 580 0.193205 0.000942 0.192538 0.193871 2
122 571 0.190207 0.015546 0.179214 0.201199 2
123 568 0.189207 0.019786 0.175217 0.203198 2
124 567 0.188874 0.017430 0.176549 0.201199 2
125 566 0.188541 0.003769 0.185876 0.191206 2
126 560 0.186542 0.019786 0.172552 0.200533 2
127 554 0.184544 0.000942 0.183877 0.185210 2
128 550 0.183211 0.009422 0.176549 0.189873 2
129 547 0.182212 0.008009 0.176549 0.187875 2
130 530 0.176549 0.003769 0.173884 0.179214 2
131 519 0.172885 0.008951 0.166556 0.179214 2
132 501 0.166889 0.006124 0.162558 0.171219 2
133 498 0.165889 0.011306 0.157895 0.173884 2
134 478 0.159227 0.017901 0.146569 0.171885 2
135 474 0.157895 0.011306 0.149900 0.165889 2
136 431 0.143571 0.018373 0.130580 0.156562 2
137 320 0.106596 0.015075 0.095936 0.117255 2
138 270 0.089940 0.048993 0.055296 0.124584 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] 0.001450 0.000001 0.000016 0.003593 0.001184 1.000 2
length{all}[2] 0.002053 0.000002 0.000229 0.004545 0.001768 1.000 2
length{all}[3] 0.000767 0.000001 0.000002 0.002391 0.000513 1.001 2
length{all}[4] 0.000751 0.000001 0.000000 0.002129 0.000538 1.000 2
length{all}[5] 0.000736 0.000001 0.000000 0.002335 0.000473 1.001 2
length{all}[6] 0.002817 0.000003 0.000505 0.006205 0.002531 1.000 2
length{all}[7] 0.001474 0.000001 0.000059 0.003602 0.001207 1.002 2
length{all}[8] 0.000749 0.000001 0.000000 0.002299 0.000517 1.000 2
length{all}[9] 0.000701 0.000000 0.000000 0.002096 0.000481 1.000 2
length{all}[10] 0.000734 0.000001 0.000000 0.002196 0.000516 1.000 2
length{all}[11] 0.000685 0.000001 0.000000 0.002087 0.000443 1.000 2
length{all}[12] 0.000721 0.000001 0.000000 0.002220 0.000493 1.002 2
length{all}[13] 0.002888 0.000002 0.000494 0.005882 0.002604 1.000 2
length{all}[14] 0.000687 0.000001 0.000000 0.002164 0.000435 1.008 2
length{all}[15] 0.000687 0.000000 0.000000 0.002059 0.000486 1.000 2
length{all}[16] 0.000693 0.000000 0.000001 0.002134 0.000471 1.000 2
length{all}[17] 0.000702 0.000001 0.000000 0.002208 0.000498 1.001 2
length{all}[18] 0.000768 0.000001 0.000000 0.002340 0.000534 1.004 2
length{all}[19] 0.000683 0.000000 0.000001 0.002003 0.000466 1.000 2
length{all}[20] 0.001569 0.000001 0.000029 0.003741 0.001295 1.001 2
length{all}[21] 0.000711 0.000001 0.000000 0.002262 0.000458 1.003 2
length{all}[22] 0.000739 0.000001 0.000000 0.002229 0.000528 1.001 2
length{all}[23] 0.000746 0.000001 0.000000 0.002279 0.000495 1.000 2
length{all}[24] 0.000681 0.000000 0.000000 0.002043 0.000472 1.000 2
length{all}[25] 0.000708 0.000001 0.000000 0.002193 0.000456 1.000 2
length{all}[26] 0.000736 0.000001 0.000000 0.002321 0.000481 1.000 2
length{all}[27] 0.000694 0.000000 0.000001 0.002011 0.000459 1.003 2
length{all}[28] 0.000729 0.000001 0.000000 0.002171 0.000514 1.001 2
length{all}[29] 0.000679 0.000000 0.000001 0.002024 0.000481 1.002 2
length{all}[30] 0.000686 0.000000 0.000000 0.002051 0.000480 1.001 2
length{all}[31] 0.000731 0.000001 0.000000 0.002156 0.000506 1.001 2
length{all}[32] 0.000680 0.000001 0.000001 0.002113 0.000460 1.001 2
length{all}[33] 0.000824 0.000001 0.000000 0.002430 0.000552 1.000 2
length{all}[34] 0.000701 0.000001 0.000000 0.002079 0.000477 1.000 2
length{all}[35] 0.000730 0.000001 0.000000 0.002093 0.000532 1.000 2
length{all}[36] 0.000760 0.000001 0.000001 0.002358 0.000520 1.001 2
length{all}[37] 0.001680 0.000001 0.000097 0.004133 0.001364 1.014 2
length{all}[38] 0.001421 0.000001 0.000013 0.003630 0.001128 1.002 2
length{all}[39] 0.000658 0.000001 0.000000 0.002039 0.000441 1.000 2
length{all}[40] 0.000682 0.000000 0.000000 0.001974 0.000466 1.000 2
length{all}[41] 0.001478 0.000001 0.000005 0.003768 0.001155 1.001 2
length{all}[42] 0.000734 0.000001 0.000000 0.002254 0.000489 1.000 2
length{all}[43] 0.000722 0.000001 0.000000 0.002235 0.000479 1.007 2
length{all}[44] 0.000754 0.000001 0.000000 0.002300 0.000502 1.000 2
length{all}[45] 0.001409 0.000001 0.000069 0.003387 0.001179 1.004 2
length{all}[46] 0.000739 0.000001 0.000000 0.002230 0.000491 1.001 2
length{all}[47] 0.000704 0.000001 0.000001 0.002185 0.000484 1.000 2
length{all}[48] 0.000748 0.000001 0.000001 0.002221 0.000530 1.001 2
length{all}[49] 0.000692 0.000001 0.000001 0.002071 0.000477 1.000 2
length{all}[50] 0.000751 0.000001 0.000000 0.002192 0.000527 1.000 2
length{all}[51] 0.000789 0.000001 0.000001 0.002392 0.000536 1.004 2
length{all}[52] 0.001522 0.000001 0.000019 0.003590 0.001255 1.000 2
length{all}[53] 0.000676 0.000001 0.000001 0.002091 0.000451 1.000 2
length{all}[54] 0.000697 0.000000 0.000000 0.002088 0.000468 1.003 2
length{all}[55] 0.000743 0.000000 0.000001 0.002121 0.000546 1.000 2
length{all}[56] 0.000693 0.000001 0.000000 0.002189 0.000470 1.000 2
length{all}[57] 0.000755 0.000001 0.000000 0.002263 0.000510 1.000 2
length{all}[58] 0.000712 0.000001 0.000002 0.002194 0.000461 1.000 2
length{all}[59] 0.000712 0.000001 0.000000 0.002118 0.000500 1.000 2
length{all}[60] 0.002108 0.000001 0.000312 0.004500 0.001886 1.000 2
length{all}[61] 0.000724 0.000001 0.000000 0.002213 0.000501 1.000 2
length{all}[62] 0.000698 0.000001 0.000000 0.002188 0.000458 1.000 2
length{all}[63] 0.000745 0.000001 0.000001 0.002266 0.000512 1.000 2
length{all}[64] 0.000769 0.000001 0.000001 0.002217 0.000546 1.003 2
length{all}[65] 0.001433 0.000001 0.000096 0.003517 0.001210 1.000 2
length{all}[66] 0.002076 0.000001 0.000219 0.004397 0.001863 1.003 2
length{all}[67] 0.000691 0.000001 0.000001 0.002143 0.000450 1.002 2
length{all}[68] 0.000788 0.000001 0.000000 0.002540 0.000516 1.001 2
length{all}[69] 0.001399 0.000001 0.000002 0.003376 0.001178 1.000 2
length{all}[70] 0.000729 0.000001 0.000000 0.002261 0.000487 1.000 2
length{all}[71] 0.000740 0.000001 0.000000 0.002183 0.000513 1.000 2
length{all}[72] 0.002678 0.000002 0.000196 0.005600 0.002385 1.000 2
length{all}[73] 0.001444 0.000001 0.000054 0.003311 0.001250 1.004 2
length{all}[74] 0.000691 0.000001 0.000000 0.002119 0.000464 1.003 2
length{all}[75] 0.000734 0.000001 0.000000 0.002332 0.000498 1.000 2
length{all}[76] 0.000671 0.000000 0.000001 0.002051 0.000456 1.000 2
length{all}[77] 0.001403 0.000001 0.000043 0.003555 0.001140 1.000 2
length{all}[78] 0.000694 0.000001 0.000001 0.002132 0.000424 1.000 2
length{all}[79] 0.000745 0.000001 0.000000 0.002181 0.000525 1.000 2
length{all}[80] 0.001319 0.000001 0.000000 0.004004 0.000955 1.008 2
length{all}[81] 0.001428 0.000001 0.000026 0.003531 0.001172 1.001 2
length{all}[82] 0.000719 0.000001 0.000000 0.002192 0.000479 1.002 2
length{all}[83] 0.000698 0.000000 0.000000 0.002041 0.000487 1.001 2
length{all}[84] 0.000736 0.000001 0.000001 0.002296 0.000487 1.001 2
length{all}[85] 0.000736 0.000001 0.000001 0.002193 0.000520 1.002 2
length{all}[86] 0.000702 0.000000 0.000001 0.002055 0.000476 1.000 2
length{all}[87] 0.000722 0.000001 0.000000 0.002202 0.000487 1.001 2
length{all}[88] 0.000703 0.000000 0.000000 0.002032 0.000509 1.000 2
length{all}[89] 0.000707 0.000000 0.000001 0.002052 0.000500 1.000 2
length{all}[90] 0.000718 0.000000 0.000000 0.002118 0.000501 1.000 2
length{all}[91] 0.002140 0.000002 0.000226 0.004777 0.001870 1.000 2
length{all}[92] 0.002776 0.000002 0.000315 0.005562 0.002522 1.000 2
length{all}[93] 0.005047 0.000005 0.001186 0.009360 0.004675 1.000 2
length{all}[94] 0.001376 0.000001 0.000020 0.003442 0.001127 1.000 2
length{all}[95] 0.001501 0.000001 0.000045 0.003651 0.001243 1.000 2
length{all}[96] 0.001802 0.000001 0.000052 0.004107 0.001566 1.000 2
length{all}[97] 0.001623 0.000001 0.000021 0.003946 0.001328 1.006 2
length{all}[98] 0.002195 0.000002 0.000240 0.004818 0.001961 1.000 2
length{all}[99] 0.001449 0.000001 0.000072 0.003671 0.001182 1.000 2
length{all}[100] 0.001470 0.000001 0.000015 0.003492 0.001237 1.000 2
length{all}[101] 0.001710 0.000002 0.000001 0.004365 0.001384 1.018 2
length{all}[102] 0.001445 0.000001 0.000088 0.003353 0.001220 1.003 2
length{all}[103] 0.001503 0.000001 0.000019 0.003579 0.001218 1.001 2
length{all}[104] 0.000729 0.000001 0.000003 0.002234 0.000476 0.999 2
length{all}[105] 0.001392 0.000001 0.000002 0.003667 0.001091 1.000 2
length{all}[106] 0.000703 0.000001 0.000000 0.002243 0.000465 1.004 2
length{all}[107] 0.000745 0.000001 0.000000 0.002194 0.000519 0.999 2
length{all}[108] 0.001501 0.000001 0.000008 0.003767 0.001210 1.000 2
length{all}[109] 0.001191 0.000001 0.000004 0.002962 0.001001 1.007 2
length{all}[110] 0.001386 0.000001 0.000000 0.003652 0.001116 1.002 2
length{all}[111] 0.001334 0.000001 0.000008 0.003397 0.001110 1.000 2
length{all}[112] 0.000748 0.000001 0.000001 0.002145 0.000507 0.999 2
length{all}[113] 0.000717 0.000001 0.000000 0.002139 0.000468 1.000 2
length{all}[114] 0.000717 0.000000 0.000000 0.002085 0.000564 1.003 2
length{all}[115] 0.000726 0.000001 0.000002 0.002305 0.000467 1.003 2
length{all}[116] 0.000732 0.000001 0.000000 0.002187 0.000543 0.999 2
length{all}[117] 0.000756 0.000001 0.000000 0.002426 0.000490 0.999 2
length{all}[118] 0.000707 0.000000 0.000001 0.002190 0.000485 0.999 2
length{all}[119] 0.000680 0.000000 0.000001 0.002022 0.000459 0.999 2
length{all}[120] 0.000720 0.000001 0.000000 0.002287 0.000531 1.000 2
length{all}[121] 0.000684 0.000000 0.000004 0.002013 0.000491 1.005 2
length{all}[122] 0.000753 0.000001 0.000000 0.002460 0.000536 0.999 2
length{all}[123] 0.000706 0.000000 0.000001 0.002143 0.000502 1.001 2
length{all}[124] 0.000688 0.000001 0.000000 0.001974 0.000451 1.004 2
length{all}[125] 0.000697 0.000001 0.000001 0.002064 0.000478 1.000 2
length{all}[126] 0.000806 0.000001 0.000001 0.002518 0.000578 1.000 2
length{all}[127] 0.000747 0.000001 0.000000 0.002187 0.000540 0.999 2
length{all}[128] 0.000748 0.000001 0.000001 0.002234 0.000485 1.005 2
length{all}[129] 0.000817 0.000001 0.000002 0.002500 0.000539 0.998 2
length{all}[130] 0.000672 0.000000 0.000003 0.002093 0.000439 1.001 2
length{all}[131] 0.000772 0.000001 0.000002 0.002450 0.000539 1.004 2
length{all}[132] 0.000766 0.000001 0.000002 0.002082 0.000529 1.005 2
length{all}[133] 0.000704 0.000001 0.000000 0.002248 0.000468 0.998 2
length{all}[134] 0.000708 0.000001 0.000000 0.002192 0.000475 0.999 2
length{all}[135] 0.001269 0.000001 0.000003 0.002890 0.001107 0.998 2
length{all}[136] 0.000749 0.000000 0.000001 0.002110 0.000566 0.998 2
length{all}[137] 0.000689 0.000001 0.000001 0.002339 0.000434 0.998 2
length{all}[138] 0.000898 0.000001 0.000001 0.002599 0.000673 1.100 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 = 0.018922
Maximum standard deviation of split frequencies = 0.228950
Average PSRF for parameter values (excluding NA and >10.0) = 1.002
Maximum PSRF for parameter values = 1.100
Clade credibility values:
/--------------------------------------------------------------------- C34 (1)
|
|--------------------------------------------------------------------- C65 (2)
|
|--------------------------------------------------------------------- C16 (32)
|
|--------------------------------------------------------------------- C13 (35)
|
|--------------------------------------------------------------------- C60 (45)
|
|--------------------------------------------------------------------- C312 (48)
|
|--------------------------------------------------------------------- C117 (59)
|
|--------------------------------------------------------------------- C123 (65)
|
|--------------------------------------------------------------------- C129 (73)
|
|--------------------------------------------------------------------- C141 (86)
|
|--------------------------------------------------------------------- C441 (90)
|
| /---------------------------------------------- C208 (11)
| |
| | /----------------------- C651 (16)
|----------100---------+----------100---------+
| | \----------------------- C132 (28)
| |
| \---------------------------------------------- C68 (66)
|
| /----------------------- C196 (6)
| |
| |----------------------- C111 (52)
| /----------84----------+
| | |----------------------- C648 (67)
| | |
| | \----------------------- C465 (81)
|----------100---------+
| | /----------------------- C337 (19)
| | |
| | |----------------------- C105 (46)
| \----------96----------+
| |----------------------- C380 (64)
| |
| \----------------------- C165 (68)
|
| /----------------------- C75 (14)
|----------------------99---------------------+
| \----------------------- C642 (47)
|
| /---------------------------------------------- C619 (3)
| |
| |---------------------------------------------- C295 (4)
| |
| |---------------------------------------------- C192 (5)
| |
| |---------------------------------------------- C325 (7)
+ |
| |---------------------------------------------- C93 (8)
| |
| | /----------------------- C597 (9)
| |----------99----------+
| | \----------------------- C627 (55)
| |
| |---------------------------------------------- C206 (10)
| |
| |---------------------------------------------- C606 (12)
| |
| |---------------------------------------------- C331 (13)
| |
| |---------------------------------------------- C231 (15)
| |
| |---------------------------------------------- C230 (17)
| |
| |---------------------------------------------- C220 (18)
| |
| |---------------------------------------------- C90 (20)
| |
| |---------------------------------------------- C72 (21)
| |
| |---------------------------------------------- C507 (22)
| |
| |---------------------------------------------- C545 (23)
| |
| |---------------------------------------------- C224 (24)
| |
| |---------------------------------------------- C344 (25)
| |
| |---------------------------------------------- C87 (26)
| |
| |---------------------------------------------- C228 (27)
| |
| |---------------------------------------------- C531 (29)
| |
| |---------------------------------------------- C236 (30)
| |
| |---------------------------------------------- C350 (31)
| |
| | /----------------------- C366 (33)
| |----------86----------+
| | \----------------------- C368 (51)
| |
| |---------------------------------------------- C571 (34)
| |
| |---------------------------------------------- C555 (36)
| |
| |---------------------------------------------- C248 (37)
| |
| |---------------------------------------------- C356 (38)
| |
| |---------------------------------------------- C99 (39)
| |
| |---------------------------------------------- C504 (40)
| |
\----------91----------+---------------------------------------------- C252 (41)
|
|---------------------------------------------- C579 (42)
|
|---------------------------------------------- C260 (43)
|
|---------------------------------------------- C362 (44)
|
|---------------------------------------------- C603 (49)
|
|---------------------------------------------- C272 (50)
|
|---------------------------------------------- C182 (53)
|
|---------------------------------------------- C628 (54)
|
| /----------------------- C389 (56)
|----------100---------+
| \----------------------- C391 (79)
|
|---------------------------------------------- C284 (57)
|
|---------------------------------------------- C374 (58)
|
|---------------------------------------------- C326 (60)
|
|---------------------------------------------- C97 (61)
|
|---------------------------------------------- C317 (62)
|
|---------------------------------------------- C552 (63)
|
|---------------------------------------------- C427 (69)
|
|---------------------------------------------- C351 (70)
|
|---------------------------------------------- C572 (71)
|
|---------------------------------------------- C385 (72)
|
|---------------------------------------------- C315 (74)
|
|---------------------------------------------- C493 (75)
|
|---------------------------------------------- C381 (76)
|
|---------------------------------------------- C584 (77)
|
|---------------------------------------------- C561 (78)
|
|---------------------------------------------- C135 (80)
|
|---------------------------------------------- C559 (82)
|
|---------------------------------------------- C411 (83)
|
|---------------------------------------------- C596 (84)
|
|---------------------------------------------- C397 (85)
|
|---------------------------------------------- C615 (87)
|
|---------------------------------------------- C625 (88)
|
\---------------------------------------------- C575 (89)
Phylogram (based on average branch lengths):
/---------- C34 (1)
|
|--------------- C65 (2)
|
|---- C16 (32)
|
|---- C13 (35)
|
|---------- C60 (45)
|
|---- C312 (48)
|
|---- C117 (59)
|
|---------- C123 (65)
|
|---------- C129 (73)
|
|---- C141 (86)
|
|---- C441 (90)
|
| /---- C208 (11)
| |
| | /---- C651 (16)
|--------------------+--------+
| | \----- C132 (28)
| |
| \--------------- C68 (66)
|
| /--------------------- C196 (6)
| |
| |---------- C111 (52)
| /---------+
| | |---- C648 (67)
| | |
| | \---------- C465 (81)
|--------------------------------------+
| | /---- C337 (19)
| | |
| | |---- C105 (46)
| \----------+
| |---- C380 (64)
| |
| \---- C165 (68)
|
| /---- C75 (14)
|---------+
| \---- C642 (47)
|
| /----- C619 (3)
| |
| |----- C295 (4)
| |
| |---- C192 (5)
| |
| |---------- C325 (7)
+ |
| |----- C93 (8)
| |
| | /---- C597 (9)
| |------------+
| | \----- C627 (55)
| |
| |----- C206 (10)
| |
| |---- C606 (12)
| |
| |---------------------- C331 (13)
| |
| |---- C231 (15)
| |
| |---- C230 (17)
| |
| |----- C220 (18)
| |
| |----------- C90 (20)
| |
| |---- C72 (21)
| |
| |----- C507 (22)
| |
| |---- C545 (23)
| |
| |---- C224 (24)
| |
| |---- C344 (25)
| |
| |---- C87 (26)
| |
| |---- C228 (27)
| |
| |---- C531 (29)
| |
| |---- C236 (30)
| |
| |---- C350 (31)
| |
| | /----- C366 (33)
| |---------+
| | \---- C368 (51)
| |
| |---- C571 (34)
| |
| |----- C555 (36)
| |
| |------------ C248 (37)
| |
| |---------- C356 (38)
| |
| |---- C99 (39)
| |
| |---- C504 (40)
| |
\---------------+---------- C252 (41)
|
|---- C579 (42)
|
|---- C260 (43)
|
|---- C362 (44)
|
|---- C603 (49)
|
|----- C272 (50)
|
|---- C182 (53)
|
|---- C628 (54)
|
| /---- C389 (56)
|---------------+
| \---- C391 (79)
|
|---- C284 (57)
|
|---- C374 (58)
|
|---------------- C326 (60)
|
|---- C97 (61)
|
|---- C317 (62)
|
|----- C552 (63)
|
|---------- C427 (69)
|
|---- C351 (70)
|
|----- C572 (71)
|
|-------------------- C385 (72)
|
|---- C315 (74)
|
|---- C493 (75)
|
|---- C381 (76)
|
|---------- C584 (77)
|
|---- C561 (78)
|
|-------- C135 (80)
|
|---- C559 (82)
|
|---- C411 (83)
|
|---- C596 (84)
|
|----- C397 (85)
|
|---- C615 (87)
|
|---- C625 (88)
|
\---- C575 (89)
|-------| 0.001 expected changes per site
Calculating tree probabilities...
Credible sets of trees (3002 trees sampled):
50 % credible set contains 1501 trees
90 % credible set contains 2702 trees
95 % credible set contains 2852 trees
99 % credible set contains 2972 trees
Exiting mrbayes block
Reached end of file
Tasks completed, exiting program because mode is noninteractive
To return control to the command line after completion of file processing,
set mode to interactive with 'mb -i <filename>' (i is for interactive)
or use 'set mode=interactive'
Running FUBAR...
[2J[H /HYPHY 2.3.14.20190214beta(MP) for Linux on x86_64\
***************** TYPES OF STANDARD ANALYSES *****************
(1) Selection Analyses
(2) Evolutionary Hypothesis Testing
(3) Relative evolutionary rate inference
(4) Coevolutionary analysis
(5) Basic Analyses
(6) Codon Selection Analyses
(7) Compartmentalization
(8) Data File Tools
(9) Miscellaneous
(10) Model Comparison
(11) Kernel Analysis Tools
(12) Molecular Clock
(13) Phylogeny Reconstruction
(14) Positive Selection
(15) Recombination
(16) Selection/Recombination
(17) Relative Rate
(18) Relative Ratio
(19) Substitution Rates
Please select type of analyses you want to list (or press ENTER to process custom batch file):[2J[H***************** FILES IN 'Selection Analyses' *****************
(1) [MEME] Test for episodic site-level selection using MEME (Mixed Effects Model of Evolution).
(2) [FEL] Test for pervasive site-level selection using FEL (Fixed Effects Likelihood).
(3) [SLAC] Test for pervasive site-level selection using SLAC (Single Likelihood Ancestor Counting).
(4) [FUBAR] Test for pervasive site-level selection using FUBAR (Fast Unconstrained Bayesian AppRoximation for inferring selection).
(5) [BUSTED] Test for episodic gene-wide selection using BUSTED (Branch-site Unrestricted Statistical Test of Episodic Diversification).
(6) [aBSREL] Test for lineage-specific evolution using the branch-site method aBS-REL (Adaptive Branch-Site Random Effects Likelihood).
(7) [RELAX] Test for relaxation of selection pressure along a specified set of test branches using RELAX (a random effects test of selection relaxation).
Please select the analysis you would like to perform (or press ENTER to return to the list of analysis types):
Analysis Description
--------------------
Perform a Fast Unbiased AppRoximate Bayesian (FUBAR) analysis of a
coding sequence alignment to determine whether some sites have been
subject to pervasive purifying or diversifying selection. v2.1
introduces two more methods for estimating the posterior distribution of
grid weights: collapsed Gibbs MCMC (faster) and 0-th order Variation
Bayes approximation (fastest). Please note that a FUBAR analysis
generates a cache and a results JSON file in the same directory as
directory as the original alignment. HyPhy needs to have write
privileges to this directory. For example if the original file is in
/home/sergei/FUBAR/data/pol.nex then at the end of a FUBAR run, there
will also exist FUBAR-generated files
/home/sergei/FUBAR/data/pol.nex.FUBAR.json,
/home/sergei/FUBAR/data/pol.nex.fubrar.cache. They also provide
checkpointing so that a partially completed analysis can be restarted.
- __Requirements__: in-frame codon alignment (possibly partitioned) and a phylogenetic tree
(one per partition)
- __Citation__: FUBAR: a fast, unconstrained bayesian approximation for inferring
selection (2013), Mol Biol Evol. 30(5):1196-205
- __Written by__: Sergei L Kosakovsky Pond
- __Contact Information__: spond@temple.edu
- __Analysis Version__: 2.1
####Choose Genetic Code
1. [**Universal**] Universal code. (Genebank transl_table=1).
2. [**Vertebrate mtDNA**] Vertebrate mitochondrial DNA code. (Genebank transl_table=2).
3. [**Yeast mtDNA**] Yeast mitochondrial DNA code. (Genebank transl_table=3).
4. [**Mold/Protozoan mtDNA**] Mold, Protozoan and Coelenterate mitochondrial DNA and the Mycloplasma/Spiroplasma code. (Genebank transl_table=4).
5. [**Invertebrate mtDNA**] Invertebrate mitochondrial DNA code. (Genebank transl_table=5).
6. [**Ciliate Nuclear**] Ciliate, Dasycladacean and Hexamita Nuclear code. (Genebank transl_table=6).
7. [**Echinoderm mtDNA**] Echinoderm mitochondrial DNA code. (Genebank transl_table=9).
8. [**Euplotid Nuclear**] Euplotid Nuclear code. (Genebank transl_table=10).
9. [**Alt. Yeast Nuclear**] Alternative Yeast Nuclear code. (Genebank transl_table=12).
10. [**Ascidian mtDNA**] Ascidian mitochondrial DNA code. (Genebank transl_table=13).
11. [**Flatworm mtDNA**] Flatworm mitochondrial DNA code. (Genebank transl_table=14).
12. [**Blepharisma Nuclear**] Blepharisma Nuclear code. (Genebank transl_table=15).
13. [**Chlorophycean mtDNA**] Chlorophycean Mitochondrial Code (transl_table=16).
14. [**Trematode mtDNA**] Trematode Mitochondrial Code (transl_table=21).
15. [**Scenedesmus obliquus mtDNA**] Scenedesmus obliquus mitochondrial Code (transl_table=22).
16. [**Thraustochytrium mtDNA**] Thraustochytrium Mitochondrial Code (transl_table=23).
17. [**Pterobranchia mtDNA**] Pterobranchia Mitochondrial Code (transl_table=24).
18. [**SR1 and Gracilibacteria**] Candidate Division SR1 and Gracilibacteria Code (transl_table=25).
19. [**Pachysolen Nuclear**] Pachysolen tannophilus Nuclear Code (transl_table=26).
>Please choose an option (or press q to cancel selection):
>Select a coding sequence alignment file (`/usr/local/lib/hyphy/TemplateBatchFiles/SelectionAnalyses/`)
>A tree was found in the data file: `(C34,C65,C16,C13,C60,C312,C117,C123,C129,C141,C441,(C208,(C651,C132),C68),((C196,C111,C648,C465),(C337,C105,C380,C165)),(C75,C642),(C619,C295,C192,C325,C93,(C597,C627),C206,C606,C331,C231,C230,C220,C90,C72,C507,C545,C224,C344,C87,C228,C531,C236,C350,(C366,C368),C571,C555,C248,C356,C99,C504,C252,C579,C260,C362,C603,C272,C182,C628,(C389,C391),C284,C374,C326,C97,C317,C552,C427,C351,C572,C385,C315,C493,C381,C584,C561,C135,C559,C411,C596,C397,C615,C625,C575))`
>Would you like to use it (y/n)?
>Loaded a multiple sequence alignment with **90** sequences, **110** codons, and **1** partitions from `/data//pss_subsets/LZW_L_VIPR_ALG4_672096710_293_622_1_2012_02_China_Swine_PEDV.result/original_alignment/fubar/results/LZW_L_VIPR_ALG4_672096710_293_622_1_2012_02_China_Swine_PEDV.result.1/LZW_L_VIPR_ALG4_672096710_293_622_1_2012_02_China_Swine_PEDV.result.1.fna`
> FUBAR will write cache and result files to _/data//pss_subsets/LZW_L_VIPR_ALG4_672096710_293_622_1_2012_02_China_Swine_PEDV.result/original_alignment/fubar/results/LZW_L_VIPR_ALG4_672096710_293_622_1_2012_02_China_Swine_PEDV.result.1/LZW_L_VIPR_ALG4_672096710_293_622_1_2012_02_China_Swine_PEDV.result.1.fna.FUBAR.cache_ and _/data//pss_subsets/LZW_L_VIPR_ALG4_672096710_293_622_1_2012_02_China_Swine_PEDV.result/original_alignment/fubar/results/LZW_L_VIPR_ALG4_672096710_293_622_1_2012_02_China_Swine_PEDV.result.1/LZW_L_VIPR_ALG4_672096710_293_622_1_2012_02_China_Swine_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) = -843.18, AIC-c = 1903.16 (108 estimated parameters)
* Tree length (expected substitutions/site) for partition 1 : 0.174
### 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 = 0.857
* Computing conditional site likelihoods on a 20 x 20 rate grid
### Running an iterative zeroth order variational Bayes procedure to estimate the posterior mean of rate weights
* Using the following settings
* Dirichlet alpha : 0.5
### Tabulating site-level results
| Codon | Partition | alpha | beta |Posterior prob for positive selection|
|:--------------:|:--------------:|:--------------:|:--------------:|:-----------------------------------:|
| 5 | 1 | 1.422 | 16.208 | Pos. posterior = 0.9710 |
| 10 | 1 | 0.877 | 10.880 | Pos. posterior = 0.9760 |
| 52 | 1 | 0.746 | 7.075 | Pos. posterior = 0.9521 |
| 83 | 1 | 1.540 | 6.839 | Pos. posterior = 0.9031 |
----
## FUBAR inferred 4 sites subject to diversifying positive selection at posterior probability >= 0.9
Of these, 0.20 are expected to be false positives (95% confidence interval of 0-1 )
CLUSTAL FORMAT for T-COFFEE Version_12.00.7fb08c2 [http://www.tcoffee.org] [MODE: ], CPU=0.29 sec, SCORE=1000, Nseq=90, Len=110
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV4 MASNQVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV06 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV45 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV71 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV0 MASNQVTLALANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV89 MASNHVTLAIANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV48 MASNHVTLAVANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLV
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV61 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV75 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV5 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV19 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV95 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV92 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV96 MASNHVTLAAANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLV
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV25 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
85_7_mutant2_L_VIPR_ALG4_AST13226_1_292_621_1_2015_09_China_Unknown_PEDV3 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV97 MASNHVTLAFANDAEISALGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV06 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV08 MASNQVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV31 MASNHVTLAFASDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
85_7_CH_GDZH02_1401_L_VIPR_ALG4_1012631532_269_598_1_2014_01_01_China_Swine_PEDV_L_VIPR_ALG4_AST13135_1_292_621_1_2015_09_China_Unknown_PEDV5 MASNQVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV31 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV51 MASNQVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV30 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV20 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV37 MASNHVTLAVANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLV
85_7_mutant2_L_VIPR_ALG4_AST13226_1_292_621_1_2015_09_China_Unknown_PEDV0 MASNHVTLAFANDAEISAFGFCTASEAVSYYSGAAASGFMQCRFVSFDLA
85_7_CH_GDZH02_1401_L_VIPR_ALG4_1012631532_269_598_1_2014_01_01_China_Swine_PEDV_L_VIPR_ALG4_AST13135_1_292_621_1_2015_09_China_Unknown_PEDV2 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV07 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV24 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV44 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
85_7_mutant1_L_VIPR_ALG4_AST13220_1_292_621_1_2015_09_China_Unknown_PEDV7 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV28 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV32 MASNQVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV31 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV36 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV50 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV6 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV66 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV3 MASNQVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV55 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV48 MASNHVTLAFANDVEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV56 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLV
85_7_mutant2_L_VIPR_ALG4_AST13226_1_292_621_1_2015_09_China_Unknown_PEDV9 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV04 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV52 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV79 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV60 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV62 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV05 MASNHVTLAVANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLV
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV42 MASNQVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV12 MASNQVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV03 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV72 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV68 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV11 MASNHVTLAVANDAEISAFGFCTASEAVSYYSGAAASGFMQCRFVSFDLV
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV82 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV28 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV27 MASNHVTLAFANDAEISALGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV84 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV74 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV17 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV26 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
85_7_mutant2_L_VIPR_ALG4_AST13226_1_292_621_1_2015_09_China_Unknown_PEDV7 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV17 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV52 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV80 MASNHVTLAVANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLV
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV23 MASNQVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV8 MASNQVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV65 MASNHVTLAVANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLV
85_7_L_VIPR_ALG4_AST13214_1_292_621_1_2013_05_China_Swine_PEDV27 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV51 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV72 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV85 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV29 MASNQVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV15 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
85_7_L_VIPR_ALG4_AST13214_1_292_621_1_2013_05_China_Swine_PEDV93 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV81 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV84 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV91 MASNHVTLAIANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV35 MASNQVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
85_7_L_VIPR_ALG4_AST13214_1_292_621_1_2013_05_China_Swine_PEDV65 MASNHVTLAVANDAEISAFGFCTAGEAVSYYSEAAASGFMQCRFVSFDLV
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV59 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
85_7_L_VIPR_ALG4_AST13214_1_292_621_1_2013_05_China_Swine_PEDV11 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV96 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV97 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV41 MASNQVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV15 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV25 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
85_7_L_VIPR_ALG4_AST13214_1_292_621_1_2013_05_China_Swine_PEDV41 MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA
****:**** *.*.****:*****.******* ****************.
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV4 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV06 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV45 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV71 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV0 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV89 DTVEGLLPEDYVMVVVGTTKPSAYVDTFGSRPKNICGWLLFSNCNYFLEE
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV48 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV61 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV75 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV5 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPINICGWLLFSNCNYFLEE
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV19 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV95 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV92 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV96 DIVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV25 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
85_7_mutant2_L_VIPR_ALG4_AST13226_1_292_621_1_2015_09_China_Unknown_PEDV3 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV97 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV06 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV08 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV31 DNVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPNNICGWLLFSNCNYFLEE
85_7_CH_GDZH02_1401_L_VIPR_ALG4_1012631532_269_598_1_2014_01_01_China_Swine_PEDV_L_VIPR_ALG4_AST13135_1_292_621_1_2015_09_China_Unknown_PEDV5 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV31 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV51 DTVEGLLPDDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV30 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV20 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV37 DTVEGLLPEDYVMVVVCTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE
85_7_mutant2_L_VIPR_ALG4_AST13226_1_292_621_1_2015_09_China_Unknown_PEDV0 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
85_7_CH_GDZH02_1401_L_VIPR_ALG4_1012631532_269_598_1_2014_01_01_China_Swine_PEDV_L_VIPR_ALG4_AST13135_1_292_621_1_2015_09_China_Unknown_PEDV2 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV07 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV24 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV44 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
85_7_mutant1_L_VIPR_ALG4_AST13220_1_292_621_1_2015_09_China_Unknown_PEDV7 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV28 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV32 DTVEGLLPDDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV31 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV36 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV50 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV6 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV66 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV3 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV55 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV48 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV56 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
85_7_mutant2_L_VIPR_ALG4_AST13226_1_292_621_1_2015_09_China_Unknown_PEDV9 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV04 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV52 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV79 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV60 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV62 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV05 DTVEGLLPEDYVMVVVCTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV42 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV12 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV03 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV72 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV68 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV11 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV82 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV28 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV27 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV84 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV74 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV17 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV26 DTVEGLLPDDYVMVVVGTTKLSAYEDTFGSRPKNICGWLLFSNCNYFLEE
85_7_mutant2_L_VIPR_ALG4_AST13226_1_292_621_1_2015_09_China_Unknown_PEDV7 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV17 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV52 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV80 DTVEGLLPEDYVMVVVCTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV23 DTVEGLLPEDYVMVVVGTTTLSAYVDTFGSRPRNICGWLLFSNCNYFLEE
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV8 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV65 DTVEGLLPEDYVMVVVCTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE
85_7_L_VIPR_ALG4_AST13214_1_292_621_1_2013_05_China_Swine_PEDV27 DIVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV51 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV72 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV85 DTVEGLLPEDYVMVVVGNTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV29 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLED
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV15 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
85_7_L_VIPR_ALG4_AST13214_1_292_621_1_2013_05_China_Swine_PEDV93 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV81 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV84 DTVAGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV91 DTVEGLLPEDYVMVVVGTTKPSAYVDTFGSRPKNICGWLLFSNCNYFLEE
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV35 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
85_7_L_VIPR_ALG4_AST13214_1_292_621_1_2013_05_China_Swine_PEDV65 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV59 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
85_7_L_VIPR_ALG4_AST13214_1_292_621_1_2013_05_China_Swine_PEDV11 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV96 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV97 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV41 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV15 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV25 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE
85_7_L_VIPR_ALG4_AST13214_1_292_621_1_2013_05_China_Swine_PEDV41 DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE
* * ****:******* .*. *** ******* ****************:
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV4 LELTFGRRGG
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV06 LELTFGRRGG
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV45 LELTFGRRGG
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV71 LELTFGRRGG
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV0 LELTFGRRGG
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV89 LELTFGRRGG
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV48 LELTFGRRGG
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV61 LELTFGRRGG
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV75 LELTFGRRGG
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV5 LELTFGRRGG
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV19 LELTFGRRGG
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV95 LELTFGRRGG
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV92 LELTFGRRGG
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV96 LELTFGRRGG
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV25 LELTFGRCGG
85_7_mutant2_L_VIPR_ALG4_AST13226_1_292_621_1_2015_09_China_Unknown_PEDV3 LELTFGRRGG
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV97 LELTFGRRGG
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV06 LELTFGRRGG
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV08 LELTFGRRGG
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV31 LELTFGRRGG
85_7_CH_GDZH02_1401_L_VIPR_ALG4_1012631532_269_598_1_2014_01_01_China_Swine_PEDV_L_VIPR_ALG4_AST13135_1_292_621_1_2015_09_China_Unknown_PEDV5 LELTFGRRGG
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV31 LELTFGRRGG
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV51 LELTFGRRGG
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV30 LELTFGRRGG
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV20 LELTFGRRGG
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV37 LELTFGRRGG
85_7_mutant2_L_VIPR_ALG4_AST13226_1_292_621_1_2015_09_China_Unknown_PEDV0 LELTFGRRGG
85_7_CH_GDZH02_1401_L_VIPR_ALG4_1012631532_269_598_1_2014_01_01_China_Swine_PEDV_L_VIPR_ALG4_AST13135_1_292_621_1_2015_09_China_Unknown_PEDV2 LELTFGRRGG
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV07 LELTFGRRGG
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV24 LELTFGRRGG
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV44 LELTFGRRGG
85_7_mutant1_L_VIPR_ALG4_AST13220_1_292_621_1_2015_09_China_Unknown_PEDV7 LELTFGRRGG
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV28 LELTFGRRGG
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV32 LELTFGRRGG
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV31 LELTFGRRGG
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV36 LELTFGRRGG
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV50 LELTFGRRGG
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV6 LELTFGRRGG
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV66 LELTFGRRGG
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV3 LELTFGRRGG
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV55 LELTFGRRGG
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV48 LELTFGRRGG
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV56 LELTFGRRGG
85_7_mutant2_L_VIPR_ALG4_AST13226_1_292_621_1_2015_09_China_Unknown_PEDV9 LELTFGRRGG
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV04 LELTFGRRGG
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV52 LELTFGRRGG
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV79 LELTFGRRGG
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV60 LELTFGRRGG
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV62 LELTFGRRGG
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV05 LELTFGRRGG
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV42 LELTFGRRGG
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV12 LELTFGRRGG
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV03 LELTFGRRGG
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV72 LELTFGRRGG
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV68 LELTFGRRGG
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV11 LELTFGRRGG
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV82 LELTFGRRGG
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV28 LELTFGRRGG
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV27 LELTFGRRGG
13_019349_L_VIPR_ALG4_527290414_292_621_1_2013_05_29_USA_Swine_PEDV84 LELTFGRRGG
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV74 LELTFGRRGG
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV17 LELTFGRRGG
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV26 LELTFGRRGG
85_7_mutant2_L_VIPR_ALG4_AST13226_1_292_621_1_2015_09_China_Unknown_PEDV7 LELTFGRRGG
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV17 LELTFGRRGG
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV52 LELTFGRRGG
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV80 LELTFGRRGG
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV23 LELTFGRRGG
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV8 LELTFGRRGG
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV65 LELTFGRRGG
85_7_L_VIPR_ALG4_AST13214_1_292_621_1_2013_05_China_Swine_PEDV27 LELTFGRRGG
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV51 LELTFGRRGG
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV72 LELTFGRRGG
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV85 LELTFGRRGG
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV29 LELTFGRRGG
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV15 LELTFGRRGG
85_7_L_VIPR_ALG4_AST13214_1_292_621_1_2013_05_China_Swine_PEDV93 LELTFGRRGG
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV81 LELTFGRRGG
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV84 LELTFGRRGG
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV91 LELTFGRRGG
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV35 LELTFGRRGG
85_7_L_VIPR_ALG4_AST13214_1_292_621_1_2013_05_China_Swine_PEDV65 LELTFGRRGG
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV59 LELTFGRRGG
85_7_L_VIPR_ALG4_AST13214_1_292_621_1_2013_05_China_Swine_PEDV11 LELTFGRRGG
17GXCZ_1ORF3d_L_VIPR_ALG4_QNL15254_1_293_622_1_2017_01_China_Swine_PEDV96 LELTFGRRGG
17GXCZ_1ORF3c_L_VIPR_ALG4_QNL15260_1_293_622_1_2017_01_China_Swine_PEDV97 LELTFGRRGG
15V010_BEL_2015_L_VIPR_ALG4_807013855_293_622_1_2015_01_Belgium_Swine_PEDV41 LELTFGRRGG
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV15 LELTFGRRGG
85_7_A40_L_VIPR_ALG4_AST13129_1_292_621_1_2015_09_China_Unknown_PEDV25 LELTFGRRGG
85_7_L_VIPR_ALG4_AST13214_1_292_621_1_2013_05_China_Swine_PEDV41 LELTFGRRGG
******* **
>CHYJ130330_L_VIPR_ALG4_595597735_293_622_1_2013_03_China_Swine_PEDV ATGGCTAGCAACCAAGTCACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAGAAACATTTGTGGTTGGCTTTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTCACTTTTGGTCGTCGTGGTGGT >USA_Ohio343_2014_L_VIPR_ALG4_825144517_248_577_1_2014_01_17_USA_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >USA_Minnesota312_2014_L_VIPR_ALG4_825144699_248_577_1_2014_04_07_USA_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >USA_Minnesota82_2013_L_VIPR_ALG4_658130526_258_587_1_2013_12_02_USA_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >CH_SCCD_2014_L_VIPR_ALG4_1009284165_293_622_1_2014_11_China_Swine_PEDV ATGGCTAGCAACCAAGTCACATTGGCTTTAGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAGAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTCACTTTTGGTCGTCGTGGTGGT >PEDV_MEX_JAL_02_2017_L_VIPR_ALG4_AVU05373_1_123_452_1_2017_02_10_Mexico_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTATTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCCTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >ZJ15XS0101_P35_L_VIPR_ALG4_QEE80064_1_293_622_1_2016_02_23_China_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTGTTGCCAATGATGCAGAAATTTCAGCCTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGTTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTTGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAGAAACATCTGTGGTTGGCTATTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTCACTTTTGGTCGTCGTGGTGGT >USA_Minnesota62_2013_L_VIPR_ALG4_658130400_258_587_1_2013_11_18_USA_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >USA_Minnesota86_2013_L_VIPR_ALG4_658130547_258_587_1_2013_12_07_USA_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >CH_SCZJ_2018_L_VIPR_ALG4_AZL47227_1_293_622_1_2018_02_06_China_Swine_PEDV ATGGCTAGCAACCACGTCACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCATAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTCACTTTTGGTCGTCGTGGTGGT >USA_SouthDakota285_2014_L_VIPR_ALG4_825144566_248_577_1_2014_04_02_USA_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >PC177_L_VIPR_ALG4_893707341_282_611_1_2013_12_USA_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >IBR_5_JPN_2014_L_VIPR_ALG4_948549186_235_564_1_2014_04_Japan_Pig_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >IBT_VN_L_VIPR_ALG4_QPX15727_1_293_622_1_2018_02_02_Viet_Nam_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTGCTGCCAATGATGCAGAAATTTCAGCCTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTTGTTGACATTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTTGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAGAAACATCTGTGGTTGGCTATTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTCACTTTTGGTCGTCGTGGTGGT >PEDV_1776_Badajoz_Alburquerque_L_VIPR_ALG4_QKV43780_1_297_626_1_2016_02_12_Spain_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTTGTGGTGGT >COL_Cundinamarca03715_2014_L_VIPR_ALG4_QGQ60239_1_281_610_1_2014_03_16_Colombia_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >USA_OK10240_6_2017_L_VIPR_ALG4_AVI57395_1_293_622_1_2017_02_07_USA_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTCTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTTGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >IWT_1_JPN_2014_L_VIPR_ALG4_948549291_235_564_1_2014_04_Japan_Pig_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >JSCZ1601_L_VIPR_ALG4_1126499706_294_623_1_2016_China_Swine_PEDV ATGGCTAGCAACCAAGTCACATTGGCATTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTTGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAGAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTCACCTTTGGTCGTCGTGGTGGT >PEDV_1931_3_Burgos_Aranda_de_Duero_L_VIPR_ALG4_QKV43810_1_297_626_1_2017_01_19_Spain_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAGTGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACAATGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAACAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >CH_YNKM_8_2013_L_VIPR_ALG4_575502657_293_622_1_2013_09_20_China_Unknown_PEDV ATGGCTAGCAACCAAGTCACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGGTTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAGAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTCACTTTTGGTCGTCGTGGTGGT >KNU_141112_P5_L_VIPR_ALG4_906851972_293_622_1_2014_11_South_Korea_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >ZJU_G2_2013_L_VIPR_ALG4_ANY27030_1_293_622_1_2013_11_14_China_Swine_PEDV ATGGCTAGCAACCAAGTCACATTGGCATTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGATGACTATGTCATGGTTGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAGAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTCACCTTTGGTCGTCGTGGTGGT >KNU_1406_1_L_VIPR_ALG4_692148234_293_622_1_2014_03_South_Korea_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >KCH_2_JPN_2014_L_VIPR_ALG4_948549368_235_564_1_2014_03_Japan_Pig_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >PEDV_7C_L_VIPR_ALG4_761662515_293_622_1_2011_06_China_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTGTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGTTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTTGTGGTCTGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAGAAACATCTGTGGTTGGCTATTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTCACTTTTGGTCGTCGTGGTGGT >COL_Antioquia_2014_L_VIPR_ALG4_QGQ60251_1_276_605_1_2015_04_27_Colombia_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGGGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >CH_TP_3_1_2018_L_VIPR_ALG4_QCC26586_1_293_622_1_2018_China_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >USA_Iowa303_2014_L_VIPR_ALG4_825144846_248_577_1_2014_04_07_USA_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >KGS_4_JPN_2014_L_VIPR_ALG4_948549235_235_564_1_2014_04_Japan_Pig_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >PEDV_GER_L00798_K11_14_02_2014_L_VIPR_ALG4_SNQ28069_1_293_622_1_NA_NA_Unknown_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >COL_Antioquia09831_2015_L_VIPR_ALG4_QGQ60317_1_281_610_1_2015_07_29_Colombia_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >KNU_1305_L_VIPR_ALG4_659495322_293_622_1_2013_12_South_Korea_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >GDS22_L_VIPR_ALG4_QCQ19833_1_293_622_1_2012_09_23_China_Swine_PEDV ATGGCTAGCAACCAAGTCACATTGGCATTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGATGACTATGTCATGGTTGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAGAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTCACCTTTGGTCGTCGTGGTGGT >USA_Minnesota200_2014_L_VIPR_ALG4_825144832_248_577_1_2014_03_05_USA_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >KNU_141112_feces_L_VIPR_ALG4_906851953_293_622_1_2014_11_South_Korea_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >PEDV_GER_L00862_2014_L_VIPR_ALG4_SNQ28087_1_258_587_1_NA_NA_Unknown_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >AH_M_L_VIPR_ALG4_575502852_293_622_1_2011_10_20_China_Unknown_PEDV ATGGCTAGCAACCATGTCACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAGAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTCACTTTTGGTCGTCGTGGTGGT >PEDV_GER_L01014_K01_15_04_2015_L_VIPR_ALG4_SNQ27948_1_293_622_1_NA_NA_Unknown_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTTGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >AH2012_L_VIPR_ALG4_459357907_293_622_1_2012_03_15_China_Swine_PEDV ATGGCTAGCAACCAAGTCACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAGAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTCACTTTTGGTCGTCGTGGTGGT >USA_Minnesota54_2013_L_VIPR_ALG4_658130358_258_587_1_2013_11_02_USA_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >KNU_1807_L_VIPR_ALG4_QBA57557_1_293_622_1_2018_03_South_Korea_Swine_PEDV ATGGCTAGCAACCATGTCACATTGGCTTTTGCCAATGATGTAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >PEDV_GER_L00926_K20_4_01_2014_L_VIPR_ALG4_SNQ27892_1_293_622_1_NA_NA_Unknown_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGTTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >COL_ValledelCauca_2015_L_VIPR_ALG4_QGQ60293_1_271_600_1_2017_07_01_Colombia_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >USA_Iowa162_2014_L_VIPR_ALG4_825144713_248_577_1_2014_02_17_USA_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >KNU_1816_L_VIPR_ALG4_QBO24662_1_293_622_1_2018_04_South_Korea_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAATATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >USA_Minnesota94_2013_L_VIPR_ALG4_658130596_258_587_1_2013_12_10_USA_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >KUIDL_PED_2014_007_L_VIPR_ALG4_614790571_72_401_1_2014_02_South_Korea_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >PEDV_GER_L00999_K06_15_07_2015_L_VIPR_ALG4_SNQ27940_1_269_598_1_NA_NA_Unknown_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >FJ2011_L_VIPR_ALG4_AYL64491_1_293_622_1_2011_01_18_China_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTGTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGTTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTTGTGGTCTGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAGAAACATCTGTGGTTGGCTATTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTCACTTTTGGTCGTCGTGGTGGT >YN200_L_VIPR_ALG4_946526366_293_622_1_2014_11_11_China_Swine_PEDV ATGGCTAGCAACCAAGTCACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGGTTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAGAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTCACTTTTGGTCGTCGTGGTGGT >PEDV_10F_L_VIPR_ALG4_761662529_293_622_1_2012_01_China_Swine_PEDV ATGGCTAGCAACCAAGTCACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAGAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTCACTTTTGGTCGTCGTGGTGGT >USA_Ohio295_2014_L_VIPR_ALG4_825144524_248_577_1_2014_02_25_USA_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >MIE_1_JPN_2014_L_VIPR_ALG4_948549242_235_564_1_2014_03_Japan_Pig_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >PEDV_GER_L01015_K01_15_05_2015_L_VIPR_ALG4_SNQ28056_1_293_622_1_NA_NA_Unknown_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTTGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >G2_L_VIPR_ALG4_QCT24236_1_293_622_1_2016_China_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTGTTGCCAATGATGCAGAAATTTCAGCCTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGGGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGTTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTTGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAGAAACATCTGTGGTTGGCTATTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTCACTTTTGGTCGTCGTGGTGGT >HRS_1_JPN_2014_L_VIPR_ALG4_948549228_235_564_1_2014_05_Japan_Pig_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >USA_Texas435_2014_L_VIPR_ALG4_825144895_248_577_1_2014_11_18_USA_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >USA_Texas424_2014_L_VIPR_ALG4_825144587_248_577_1_2014_10_14_USA_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTCTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTTGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >NW17_L_VIPR_ALG4_ATY72305_1_293_622_1_2015_China_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >PEDV_GER_L01061_K07_15_03_2015_L_VIPR_ALG4_SNT95658_1_293_622_1_NA_NA_Unknown_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >GDS08_L_VIPR_ALG4_QCQ19935_1_293_622_1_2011_02_10_China_Swine_PEDV ATGGCTAGCAACCATGTCACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAGAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTCACTTTTGGTCGTCGTGGTGGT >PEDV_1842_2016_ITA_L_VIPR_ALG4_AQY61718_1_293_622_1_2016_01_28_Italy_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGACGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGAGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >COL_Cundinamarca_2015_L_VIPR_ALG4_QGQ60257_1_281_610_1_2015_05_06_Colombia_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >PEDV_1481_Pamplona_Tudela_L_VIPR_ALG4_QKV43738_1_258_587_1_2014_06_03_Spain_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >USA_Minnesota41_2013_L_VIPR_ALG4_658130323_258_587_1_2013_10_14_USA_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >PEDV_JS_A_L_VIPR_ALG4_AZS18877_1_293_622_1_2017_11_10_China_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTGTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGTTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTTGTGGTCTGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAGAAACATCTGTGGTTGGCTATTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTCACTTTTGGTCGTCGTGGTGGT >GDS14_L_VIPR_ALG4_QCQ19983_1_293_622_1_2011_03_10_China_Swine_PEDV ATGGCTAGCAACCAAGTCACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCACGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAGAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTCACTTTTGGTCGTCGTGGTGGT >CH_SCZY44_2017_L_VIPR_ALG4_AZL47203_1_293_622_1_2017_09_09_China_Swine_PEDV ATGGCTAGCAACCAAGTCACATTGGCATTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTTGTGGTAGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAGAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTCACCTTTGGTCGTCGTGGCGGT >GD_XL_2019_L_VIPR_ALG4_QLH02027_1_293_622_1_2019_03_18_China_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTGTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGTTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTTGTGGTCTGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAGAAACATCTGTGGTTGGCTATTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTCACTTTTGGTCGTCGTGGTGGT >S12_L_VIPR_ALG4_QCO95391_1_293_622_1_2018_02_06_South_Korea_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACATTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >PEDV_GER_L00906_K16_14_01_2014_L_VIPR_ALG4_SNQ27990_1_293_622_1_NA_NA_Unknown_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >USA_Minnesota83_2013_L_VIPR_ALG4_658130533_258_587_1_2013_12_02_USA_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >PEDV_MEX_GTO_02_2016_L_VIPR_ALG4_AVU05338_1_123_452_1_2016_07_19_Mexico_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCGGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCAATACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTTGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >GDS20_L_VIPR_ALG4_QCQ19803_1_293_622_1_2012_06_22_China_Swine_PEDV ATGGCTAGCAACCAAGTCACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAGAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGATTTAGAGCTCACTTTTGGTCGTCGTGGTGGT >PEDV_1456_Zaragoza_Egea_de_los_Caballeros_L_VIPR_ALG4_QKV43732_1_258_587_1_2014_04_29_Spain_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >USA_Illinois87_2013_L_VIPR_ALG4_658130554_258_587_1_2013_12_04_USA_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >PEDV_LY_L_VIPR_ALG4_761662557_293_622_1_2014_01_China_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >USA_Missouri270_2014_L_VIPR_ALG4_825144965_248_577_1_2014_02_18_USA_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGCGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >PEDV_MEX_JAL_03_2017_L_VIPR_ALG4_AVU05380_1_123_452_1_2017_02_10_Mexico_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTATTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCCTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >GDS27_L_VIPR_ALG4_QCQ19905_1_293_622_1_2014_06_06_China_Swine_PEDV ATGGCTAGCAACCAAGTCACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >UNKNOWN_MT843278_L_VIPR_ALG4_QMU85400_1_294_623_1_2019_12_China_Unknown_PEDV ATGGCTAGCAACCATGTTACATTGGCTGTTGCCAATGATGCAGAAATTTCAGCCTTTGGCTTTTGCACTGCTGGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGTTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTTGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAGAAACATCTGTGGTTGGCTATTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTCACTTTTGGTCGTCGTGGTGGT >USA_Minnesota61_2013_L_VIPR_ALG4_658130729_258_587_1_2013_11_18_USA_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >PEDV_ROMANIA_L01330_K25_15_02_2015_L_VIPR_ALG4_SNQ28044_1_293_622_1_NA_NA_Unknown_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >USA_NorthCarolina66_2013_L_VIPR_ALG4_658130428_258_587_1_2013_11_23_USA_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >PEDV_MEX_MICH_01_2013_L_VIPR_ALG4_AVU05408_1_123_452_1_2013_07_24_Mexico_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >GDS32_L_VIPR_ALG4_QCQ19995_1_293_622_1_2013_02_06_China_Swine_PEDV ATGGCTAGCAACCAAGTCACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAGAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTCACTTTTGGTCGTCGTGGTGGT >USA_Oklahoma38_2013_L_VIPR_ALG4_658130302_258_587_1_2013_09_07_USA_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >USA_Texas39_2013_L_VIPR_ALG4_658130309_258_587_1_2013_09_28_USA_Swine_PEDV ATGGCTAGCAACCATGTTACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAAAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTTACTTTTGGTCGTCGTGGTGGT >SQ2014_L_VIPR_ALG4_874526661_293_622_1_2014_03_05_China_Swine_PEDV ATGGCTAGCAACCATGTCACATTGGCTTTTGCCAATGATGCAGAAATTTCAGCTTTTGGCTTTTGCACTGCTAGTGAAGCCGTCTCATACTATTCTGAGGCCGCCGCTAGTGGATTTATGCAATGCCGTTTCGTGTCCTTCGATCTCGCTGACACTGTTGAGGGATTGCTTCCCGAAGACTATGTCATGGTGGTGGTCGGCACTACCAAGCTTAGTGCGTATGTGGACACTTTTGGTAGCCGCCCCAGAAACATTTGTGGTTGGCTGTTATTTTCTAACTGTAATTACTTCCTCGAAGAGTTAGAGCTCACTTTTGGTCGTCGTGGTGGT
>CHYJ130330_L_VIPR_ALG4_595597735_293_622_1_2013_03_China_Swine_PEDV MASNQVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE LELTFGRRGG >USA_Ohio343_2014_L_VIPR_ALG4_825144517_248_577_1_2014_01_17_USA_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >USA_Minnesota312_2014_L_VIPR_ALG4_825144699_248_577_1_2014_04_07_USA_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >USA_Minnesota82_2013_L_VIPR_ALG4_658130526_258_587_1_2013_12_02_USA_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >CH_SCCD_2014_L_VIPR_ALG4_1009284165_293_622_1_2014_11_China_Swine_PEDV MASNQVTLALANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE LELTFGRRGG >PEDV_MEX_JAL_02_2017_L_VIPR_ALG4_AVU05373_1_123_452_1_2017_02_10_Mexico_Swine_PEDV MASNHVTLAIANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKPSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >ZJ15XS0101_P35_L_VIPR_ALG4_QEE80064_1_293_622_1_2016_02_23_China_Swine_PEDV MASNHVTLAVANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLV DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE LELTFGRRGG >USA_Minnesota62_2013_L_VIPR_ALG4_658130400_258_587_1_2013_11_18_USA_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >USA_Minnesota86_2013_L_VIPR_ALG4_658130547_258_587_1_2013_12_07_USA_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >CH_SCZJ_2018_L_VIPR_ALG4_AZL47227_1_293_622_1_2018_02_06_China_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPINICGWLLFSNCNYFLEE LELTFGRRGG >USA_SouthDakota285_2014_L_VIPR_ALG4_825144566_248_577_1_2014_04_02_USA_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >PC177_L_VIPR_ALG4_893707341_282_611_1_2013_12_USA_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >IBR_5_JPN_2014_L_VIPR_ALG4_948549186_235_564_1_2014_04_Japan_Pig_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >IBT_VN_L_VIPR_ALG4_QPX15727_1_293_622_1_2018_02_02_Viet_Nam_Swine_PEDV MASNHVTLAAANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLV DIVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE LELTFGRRGG >PEDV_1776_Badajoz_Alburquerque_L_VIPR_ALG4_QKV43780_1_297_626_1_2016_02_12_Spain_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRCGG >COL_Cundinamarca03715_2014_L_VIPR_ALG4_QGQ60239_1_281_610_1_2014_03_16_Colombia_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >USA_OK10240_6_2017_L_VIPR_ALG4_AVI57395_1_293_622_1_2017_02_07_USA_Swine_PEDV MASNHVTLAFANDAEISALGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >IWT_1_JPN_2014_L_VIPR_ALG4_948549291_235_564_1_2014_04_Japan_Pig_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >JSCZ1601_L_VIPR_ALG4_1126499706_294_623_1_2016_China_Swine_PEDV MASNQVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE LELTFGRRGG >PEDV_1931_3_Burgos_Aranda_de_Duero_L_VIPR_ALG4_QKV43810_1_297_626_1_2017_01_19_Spain_Swine_PEDV MASNHVTLAFASDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DNVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPNNICGWLLFSNCNYFLEE LELTFGRRGG >CH_YNKM_8_2013_L_VIPR_ALG4_575502657_293_622_1_2013_09_20_China_Unknown_PEDV MASNQVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE LELTFGRRGG >KNU_141112_P5_L_VIPR_ALG4_906851972_293_622_1_2014_11_South_Korea_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >ZJU_G2_2013_L_VIPR_ALG4_ANY27030_1_293_622_1_2013_11_14_China_Swine_PEDV MASNQVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPDDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE LELTFGRRGG >KNU_1406_1_L_VIPR_ALG4_692148234_293_622_1_2014_03_South_Korea_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >KCH_2_JPN_2014_L_VIPR_ALG4_948549368_235_564_1_2014_03_Japan_Pig_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >PEDV_7C_L_VIPR_ALG4_761662515_293_622_1_2011_06_China_Swine_PEDV MASNHVTLAVANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLV DTVEGLLPEDYVMVVVCTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE LELTFGRRGG >COL_Antioquia_2014_L_VIPR_ALG4_QGQ60251_1_276_605_1_2015_04_27_Colombia_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSGAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >CH_TP_3_1_2018_L_VIPR_ALG4_QCC26586_1_293_622_1_2018_China_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >USA_Iowa303_2014_L_VIPR_ALG4_825144846_248_577_1_2014_04_07_USA_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >KGS_4_JPN_2014_L_VIPR_ALG4_948549235_235_564_1_2014_04_Japan_Pig_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >PEDV_GER_L00798_K11_14_02_2014_L_VIPR_ALG4_SNQ28069_1_293_622_1_NA_NA_Unknown_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >COL_Antioquia09831_2015_L_VIPR_ALG4_QGQ60317_1_281_610_1_2015_07_29_Colombia_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >KNU_1305_L_VIPR_ALG4_659495322_293_622_1_2013_12_South_Korea_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >GDS22_L_VIPR_ALG4_QCQ19833_1_293_622_1_2012_09_23_China_Swine_PEDV MASNQVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPDDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE LELTFGRRGG >USA_Minnesota200_2014_L_VIPR_ALG4_825144832_248_577_1_2014_03_05_USA_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >KNU_141112_feces_L_VIPR_ALG4_906851953_293_622_1_2014_11_South_Korea_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >PEDV_GER_L00862_2014_L_VIPR_ALG4_SNQ28087_1_258_587_1_NA_NA_Unknown_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >AH_M_L_VIPR_ALG4_575502852_293_622_1_2011_10_20_China_Unknown_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE LELTFGRRGG >PEDV_GER_L01014_K01_15_04_2015_L_VIPR_ALG4_SNQ27948_1_293_622_1_NA_NA_Unknown_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >AH2012_L_VIPR_ALG4_459357907_293_622_1_2012_03_15_China_Swine_PEDV MASNQVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE LELTFGRRGG >USA_Minnesota54_2013_L_VIPR_ALG4_658130358_258_587_1_2013_11_02_USA_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >KNU_1807_L_VIPR_ALG4_QBA57557_1_293_622_1_2018_03_South_Korea_Swine_PEDV MASNHVTLAFANDVEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >PEDV_GER_L00926_K20_4_01_2014_L_VIPR_ALG4_SNQ27892_1_293_622_1_NA_NA_Unknown_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLV DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >COL_ValledelCauca_2015_L_VIPR_ALG4_QGQ60293_1_271_600_1_2017_07_01_Colombia_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >USA_Iowa162_2014_L_VIPR_ALG4_825144713_248_577_1_2014_02_17_USA_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >KNU_1816_L_VIPR_ALG4_QBO24662_1_293_622_1_2018_04_South_Korea_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >USA_Minnesota94_2013_L_VIPR_ALG4_658130596_258_587_1_2013_12_10_USA_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >KUIDL_PED_2014_007_L_VIPR_ALG4_614790571_72_401_1_2014_02_South_Korea_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >PEDV_GER_L00999_K06_15_07_2015_L_VIPR_ALG4_SNQ27940_1_269_598_1_NA_NA_Unknown_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >FJ2011_L_VIPR_ALG4_AYL64491_1_293_622_1_2011_01_18_China_Swine_PEDV MASNHVTLAVANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLV DTVEGLLPEDYVMVVVCTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE LELTFGRRGG >YN200_L_VIPR_ALG4_946526366_293_622_1_2014_11_11_China_Swine_PEDV MASNQVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE LELTFGRRGG >PEDV_10F_L_VIPR_ALG4_761662529_293_622_1_2012_01_China_Swine_PEDV MASNQVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE LELTFGRRGG >USA_Ohio295_2014_L_VIPR_ALG4_825144524_248_577_1_2014_02_25_USA_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >MIE_1_JPN_2014_L_VIPR_ALG4_948549242_235_564_1_2014_03_Japan_Pig_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >PEDV_GER_L01015_K01_15_05_2015_L_VIPR_ALG4_SNQ28056_1_293_622_1_NA_NA_Unknown_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >G2_L_VIPR_ALG4_QCT24236_1_293_622_1_2016_China_Swine_PEDV MASNHVTLAVANDAEISAFGFCTASEAVSYYSGAAASGFMQCRFVSFDLV DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE LELTFGRRGG >HRS_1_JPN_2014_L_VIPR_ALG4_948549228_235_564_1_2014_05_Japan_Pig_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >USA_Texas435_2014_L_VIPR_ALG4_825144895_248_577_1_2014_11_18_USA_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >USA_Texas424_2014_L_VIPR_ALG4_825144587_248_577_1_2014_10_14_USA_Swine_PEDV MASNHVTLAFANDAEISALGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >NW17_L_VIPR_ALG4_ATY72305_1_293_622_1_2015_China_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >PEDV_GER_L01061_K07_15_03_2015_L_VIPR_ALG4_SNT95658_1_293_622_1_NA_NA_Unknown_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >GDS08_L_VIPR_ALG4_QCQ19935_1_293_622_1_2011_02_10_China_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE LELTFGRRGG >PEDV_1842_2016_ITA_L_VIPR_ALG4_AQY61718_1_293_622_1_2016_01_28_Italy_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPDDYVMVVVGTTKLSAYEDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >COL_Cundinamarca_2015_L_VIPR_ALG4_QGQ60257_1_281_610_1_2015_05_06_Colombia_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >PEDV_1481_Pamplona_Tudela_L_VIPR_ALG4_QKV43738_1_258_587_1_2014_06_03_Spain_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >USA_Minnesota41_2013_L_VIPR_ALG4_658130323_258_587_1_2013_10_14_USA_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >PEDV_JS_A_L_VIPR_ALG4_AZS18877_1_293_622_1_2017_11_10_China_Swine_PEDV MASNHVTLAVANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLV DTVEGLLPEDYVMVVVCTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE LELTFGRRGG >GDS14_L_VIPR_ALG4_QCQ19983_1_293_622_1_2011_03_10_China_Swine_PEDV MASNQVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTTLSAYVDTFGSRPRNICGWLLFSNCNYFLEE LELTFGRRGG >CH_SCZY44_2017_L_VIPR_ALG4_AZL47203_1_293_622_1_2017_09_09_China_Swine_PEDV MASNQVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE LELTFGRRGG >GD_XL_2019_L_VIPR_ALG4_QLH02027_1_293_622_1_2019_03_18_China_Swine_PEDV MASNHVTLAVANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLV DTVEGLLPEDYVMVVVCTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE LELTFGRRGG >S12_L_VIPR_ALG4_QCO95391_1_293_622_1_2018_02_06_South_Korea_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DIVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >PEDV_GER_L00906_K16_14_01_2014_L_VIPR_ALG4_SNQ27990_1_293_622_1_NA_NA_Unknown_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >USA_Minnesota83_2013_L_VIPR_ALG4_658130533_258_587_1_2013_12_02_USA_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >PEDV_MEX_GTO_02_2016_L_VIPR_ALG4_AVU05338_1_123_452_1_2016_07_19_Mexico_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGNTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >GDS20_L_VIPR_ALG4_QCQ19803_1_293_622_1_2012_06_22_China_Swine_PEDV MASNQVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLED LELTFGRRGG >PEDV_1456_Zaragoza_Egea_de_los_Caballeros_L_VIPR_ALG4_QKV43732_1_258_587_1_2014_04_29_Spain_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >USA_Illinois87_2013_L_VIPR_ALG4_658130554_258_587_1_2013_12_04_USA_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >PEDV_LY_L_VIPR_ALG4_761662557_293_622_1_2014_01_China_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >USA_Missouri270_2014_L_VIPR_ALG4_825144965_248_577_1_2014_02_18_USA_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVAGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >PEDV_MEX_JAL_03_2017_L_VIPR_ALG4_AVU05380_1_123_452_1_2017_02_10_Mexico_Swine_PEDV MASNHVTLAIANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKPSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >GDS27_L_VIPR_ALG4_QCQ19905_1_293_622_1_2014_06_06_China_Swine_PEDV MASNQVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >UNKNOWN_MT843278_L_VIPR_ALG4_QMU85400_1_294_623_1_2019_12_China_Unknown_PEDV MASNHVTLAVANDAEISAFGFCTAGEAVSYYSEAAASGFMQCRFVSFDLV DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE LELTFGRRGG >USA_Minnesota61_2013_L_VIPR_ALG4_658130729_258_587_1_2013_11_18_USA_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >PEDV_ROMANIA_L01330_K25_15_02_2015_L_VIPR_ALG4_SNQ28044_1_293_622_1_NA_NA_Unknown_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >USA_NorthCarolina66_2013_L_VIPR_ALG4_658130428_258_587_1_2013_11_23_USA_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >PEDV_MEX_MICH_01_2013_L_VIPR_ALG4_AVU05408_1_123_452_1_2013_07_24_Mexico_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >GDS32_L_VIPR_ALG4_QCQ19995_1_293_622_1_2013_02_06_China_Swine_PEDV MASNQVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE LELTFGRRGG >USA_Oklahoma38_2013_L_VIPR_ALG4_658130302_258_587_1_2013_09_07_USA_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >USA_Texas39_2013_L_VIPR_ALG4_658130309_258_587_1_2013_09_28_USA_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPKNICGWLLFSNCNYFLEE LELTFGRRGG >SQ2014_L_VIPR_ALG4_874526661_293_622_1_2014_03_05_China_Swine_PEDV MASNHVTLAFANDAEISAFGFCTASEAVSYYSEAAASGFMQCRFVSFDLA DTVEGLLPEDYVMVVVGTTKLSAYVDTFGSRPRNICGWLLFSNCNYFLEE LELTFGRRGG
Reading sequence file /data//pss_subsets/LZW_L_VIPR_ALG4_672096710_293_622_1_2012_02_China_Swine_PEDV.result/original_alignment/fubar/fasta/LZW_L_VIPR_ALG4_672096710_293_622_1_2012_02_China_Swine_PEDV.result.1
Found 90 sequences of length 330
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 1.1%
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 5
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 25 polymorphic sites
**p-Value(s)**
----------
NSS: 3.98e-01 (1000 permutations)
Max Chi^2: 7.83e-01 (1000 permutations)
PHI (Permutation): 5.10e-02 (1000 permutations)
PHI (Normal): 4.84e-02
#NEXUS
[ID: 0766045707]
begin taxa;
dimensions ntax=90;
taxlabels
CHYJ130330_L_VIPR_ALG4_595597735_293_622_1_2013_03_China_Swine_PEDV
CH_SCZJ_2018_L_VIPR_ALG4_AZL47227_1_293_622_1_2018_02_06_China_Swine_PEDV
USA_SouthDakota285_2014_L_VIPR_ALG4_825144566_248_577_1_2014_04_02_USA_Swine_PEDV
PC177_L_VIPR_ALG4_893707341_282_611_1_2013_12_USA_Swine_PEDV
IBR_5_JPN_2014_L_VIPR_ALG4_948549186_235_564_1_2014_04_Japan_Pig_PEDV
IBT_VN_L_VIPR_ALG4_QPX15727_1_293_622_1_2018_02_02_Viet_Nam_Swine_PEDV
PEDV_1776_Badajoz_Alburquerque_L_VIPR_ALG4_QKV43780_1_297_626_1_2016_02_12_Spain_Swine_PEDV
COL_Cundinamarca03715_2014_L_VIPR_ALG4_QGQ60239_1_281_610_1_2014_03_16_Colombia_Swine_PEDV
USA_OK10240_6_2017_L_VIPR_ALG4_AVI57395_1_293_622_1_2017_02_07_USA_Swine_PEDV
IWT_1_JPN_2014_L_VIPR_ALG4_948549291_235_564_1_2014_04_Japan_Pig_PEDV
JSCZ1601_L_VIPR_ALG4_1126499706_294_623_1_2016_China_Swine_PEDV
USA_Ohio343_2014_L_VIPR_ALG4_825144517_248_577_1_2014_01_17_USA_Swine_PEDV
PEDV_1931_3_Burgos_Aranda_de_Duero_L_VIPR_ALG4_QKV43810_1_297_626_1_2017_01_19_Spain_Swine_PEDV
CH_YNKM_8_2013_L_VIPR_ALG4_575502657_293_622_1_2013_09_20_China_Unknown_PEDV
KNU_141112_P5_L_VIPR_ALG4_906851972_293_622_1_2014_11_South_Korea_Swine_PEDV
ZJU_G2_2013_L_VIPR_ALG4_ANY27030_1_293_622_1_2013_11_14_China_Swine_PEDV
KNU_1406_1_L_VIPR_ALG4_692148234_293_622_1_2014_03_South_Korea_Swine_PEDV
KCH_2_JPN_2014_L_VIPR_ALG4_948549368_235_564_1_2014_03_Japan_Pig_PEDV
PEDV_7C_L_VIPR_ALG4_761662515_293_622_1_2011_06_China_Swine_PEDV
COL_Antioquia_2014_L_VIPR_ALG4_QGQ60251_1_276_605_1_2015_04_27_Colombia_Swine_PEDV
CH_TP_3_1_2018_L_VIPR_ALG4_QCC26586_1_293_622_1_2018_China_Swine_PEDV
USA_Iowa303_2014_L_VIPR_ALG4_825144846_248_577_1_2014_04_07_USA_Swine_PEDV
USA_Minnesota312_2014_L_VIPR_ALG4_825144699_248_577_1_2014_04_07_USA_Swine_PEDV
KGS_4_JPN_2014_L_VIPR_ALG4_948549235_235_564_1_2014_04_Japan_Pig_PEDV
PEDV_GER_L00798_K11_14_02_2014_L_VIPR_ALG4_SNQ28069_1_293_622_1_NA_NA_Unknown_PEDV
COL_Antioquia09831_2015_L_VIPR_ALG4_QGQ60317_1_281_610_1_2015_07_29_Colombia_Swine_PEDV
KNU_1305_L_VIPR_ALG4_659495322_293_622_1_2013_12_South_Korea_Swine_PEDV
GDS22_L_VIPR_ALG4_QCQ19833_1_293_622_1_2012_09_23_China_Swine_PEDV
USA_Minnesota200_2014_L_VIPR_ALG4_825144832_248_577_1_2014_03_05_USA_Swine_PEDV
KNU_141112_feces_L_VIPR_ALG4_906851953_293_622_1_2014_11_South_Korea_Swine_PEDV
PEDV_GER_L00862_2014_L_VIPR_ALG4_SNQ28087_1_258_587_1_NA_NA_Unknown_PEDV
AH_M_L_VIPR_ALG4_575502852_293_622_1_2011_10_20_China_Unknown_PEDV
PEDV_GER_L01014_K01_15_04_2015_L_VIPR_ALG4_SNQ27948_1_293_622_1_NA_NA_Unknown_PEDV
USA_Minnesota82_2013_L_VIPR_ALG4_658130526_258_587_1_2013_12_02_USA_Swine_PEDV
AH2012_L_VIPR_ALG4_459357907_293_622_1_2012_03_15_China_Swine_PEDV
USA_Minnesota54_2013_L_VIPR_ALG4_658130358_258_587_1_2013_11_02_USA_Swine_PEDV
KNU_1807_L_VIPR_ALG4_QBA57557_1_293_622_1_2018_03_South_Korea_Swine_PEDV
PEDV_GER_L00926_K20_4_01_2014_L_VIPR_ALG4_SNQ27892_1_293_622_1_NA_NA_Unknown_PEDV
COL_ValledelCauca_2015_L_VIPR_ALG4_QGQ60293_1_271_600_1_2017_07_01_Colombia_Swine_PEDV
USA_Iowa162_2014_L_VIPR_ALG4_825144713_248_577_1_2014_02_17_USA_Swine_PEDV
KNU_1816_L_VIPR_ALG4_QBO24662_1_293_622_1_2018_04_South_Korea_Swine_PEDV
USA_Minnesota94_2013_L_VIPR_ALG4_658130596_258_587_1_2013_12_10_USA_Swine_PEDV
KUIDL_PED_2014_007_L_VIPR_ALG4_614790571_72_401_1_2014_02_South_Korea_Swine_PEDV
PEDV_GER_L00999_K06_15_07_2015_L_VIPR_ALG4_SNQ27940_1_269_598_1_NA_NA_Unknown_PEDV
CH_SCCD_2014_L_VIPR_ALG4_1009284165_293_622_1_2014_11_China_Swine_PEDV
FJ2011_L_VIPR_ALG4_AYL64491_1_293_622_1_2011_01_18_China_Swine_PEDV
YN200_L_VIPR_ALG4_946526366_293_622_1_2014_11_11_China_Swine_PEDV
PEDV_10F_L_VIPR_ALG4_761662529_293_622_1_2012_01_China_Swine_PEDV
USA_Ohio295_2014_L_VIPR_ALG4_825144524_248_577_1_2014_02_25_USA_Swine_PEDV
MIE_1_JPN_2014_L_VIPR_ALG4_948549242_235_564_1_2014_03_Japan_Pig_PEDV
PEDV_GER_L01015_K01_15_05_2015_L_VIPR_ALG4_SNQ28056_1_293_622_1_NA_NA_Unknown_PEDV
G2_L_VIPR_ALG4_QCT24236_1_293_622_1_2016_China_Swine_PEDV
HRS_1_JPN_2014_L_VIPR_ALG4_948549228_235_564_1_2014_05_Japan_Pig_PEDV
USA_Texas435_2014_L_VIPR_ALG4_825144895_248_577_1_2014_11_18_USA_Swine_PEDV
USA_Texas424_2014_L_VIPR_ALG4_825144587_248_577_1_2014_10_14_USA_Swine_PEDV
PEDV_MEX_JAL_02_2017_L_VIPR_ALG4_AVU05373_1_123_452_1_2017_02_10_Mexico_Swine_PEDV
NW17_L_VIPR_ALG4_ATY72305_1_293_622_1_2015_China_Swine_PEDV
PEDV_GER_L01061_K07_15_03_2015_L_VIPR_ALG4_SNT95658_1_293_622_1_NA_NA_Unknown_PEDV
GDS08_L_VIPR_ALG4_QCQ19935_1_293_622_1_2011_02_10_China_Swine_PEDV
PEDV_1842_2016_ITA_L_VIPR_ALG4_AQY61718_1_293_622_1_2016_01_28_Italy_Swine_PEDV
COL_Cundinamarca_2015_L_VIPR_ALG4_QGQ60257_1_281_610_1_2015_05_06_Colombia_Swine_PEDV
PEDV_1481_Pamplona_Tudela_L_VIPR_ALG4_QKV43738_1_258_587_1_2014_06_03_Spain_Swine_PEDV
USA_Minnesota41_2013_L_VIPR_ALG4_658130323_258_587_1_2013_10_14_USA_Swine_PEDV
PEDV_JS_A_L_VIPR_ALG4_AZS18877_1_293_622_1_2017_11_10_China_Swine_PEDV
GDS14_L_VIPR_ALG4_QCQ19983_1_293_622_1_2011_03_10_China_Swine_PEDV
CH_SCZY44_2017_L_VIPR_ALG4_AZL47203_1_293_622_1_2017_09_09_China_Swine_PEDV
ZJ15XS0101_P35_L_VIPR_ALG4_QEE80064_1_293_622_1_2016_02_23_China_Swine_PEDV
GD_XL_2019_L_VIPR_ALG4_QLH02027_1_293_622_1_2019_03_18_China_Swine_PEDV
S12_L_VIPR_ALG4_QCO95391_1_293_622_1_2018_02_06_South_Korea_Swine_PEDV
PEDV_GER_L00906_K16_14_01_2014_L_VIPR_ALG4_SNQ27990_1_293_622_1_NA_NA_Unknown_PEDV
USA_Minnesota83_2013_L_VIPR_ALG4_658130533_258_587_1_2013_12_02_USA_Swine_PEDV
PEDV_MEX_GTO_02_2016_L_VIPR_ALG4_AVU05338_1_123_452_1_2016_07_19_Mexico_Swine_PEDV
GDS20_L_VIPR_ALG4_QCQ19803_1_293_622_1_2012_06_22_China_Swine_PEDV
PEDV_1456_Zaragoza_Egea_de_los_Caballeros_L_VIPR_ALG4_QKV43732_1_258_587_1_2014_04_29_Spain_Swine_PEDV
USA_Illinois87_2013_L_VIPR_ALG4_658130554_258_587_1_2013_12_04_USA_Swine_PEDV
PEDV_LY_L_VIPR_ALG4_761662557_293_622_1_2014_01_China_Swine_PEDV
USA_Missouri270_2014_L_VIPR_ALG4_825144965_248_577_1_2014_02_18_USA_Swine_PEDV
USA_Minnesota62_2013_L_VIPR_ALG4_658130400_258_587_1_2013_11_18_USA_Swine_PEDV
PEDV_MEX_JAL_03_2017_L_VIPR_ALG4_AVU05380_1_123_452_1_2017_02_10_Mexico_Swine_PEDV
GDS27_L_VIPR_ALG4_QCQ19905_1_293_622_1_2014_06_06_China_Swine_PEDV
UNKNOWN_MT843278_L_VIPR_ALG4_QMU85400_1_294_623_1_2019_12_China_Unknown_PEDV
USA_Minnesota61_2013_L_VIPR_ALG4_658130729_258_587_1_2013_11_18_USA_Swine_PEDV
PEDV_ROMANIA_L01330_K25_15_02_2015_L_VIPR_ALG4_SNQ28044_1_293_622_1_NA_NA_Unknown_PEDV
USA_NorthCarolina66_2013_L_VIPR_ALG4_658130428_258_587_1_2013_11_23_USA_Swine_PEDV
PEDV_MEX_MICH_01_2013_L_VIPR_ALG4_AVU05408_1_123_452_1_2013_07_24_Mexico_Swine_PEDV
GDS32_L_VIPR_ALG4_QCQ19995_1_293_622_1_2013_02_06_China_Swine_PEDV
USA_Oklahoma38_2013_L_VIPR_ALG4_658130302_258_587_1_2013_09_07_USA_Swine_PEDV
USA_Texas39_2013_L_VIPR_ALG4_658130309_258_587_1_2013_09_28_USA_Swine_PEDV
USA_Minnesota86_2013_L_VIPR_ALG4_658130547_258_587_1_2013_12_07_USA_Swine_PEDV
SQ2014_L_VIPR_ALG4_874526661_293_622_1_2014_03_05_China_Swine_PEDV
;
end;
begin trees;
translate
1 CHYJ130330_L_VIPR_ALG4_595597735_293_622_1_2013_03_China_Swine_PEDV,
2 CH_SCZJ_2018_L_VIPR_ALG4_AZL47227_1_293_622_1_2018_02_06_China_Swine_PEDV,
3 USA_SouthDakota285_2014_L_VIPR_ALG4_825144566_248_577_1_2014_04_02_USA_Swine_PEDV,
4 PC177_L_VIPR_ALG4_893707341_282_611_1_2013_12_USA_Swine_PEDV,
5 IBR_5_JPN_2014_L_VIPR_ALG4_948549186_235_564_1_2014_04_Japan_Pig_PEDV,
6 IBT_VN_L_VIPR_ALG4_QPX15727_1_293_622_1_2018_02_02_Viet_Nam_Swine_PEDV,
7 PEDV_1776_Badajoz_Alburquerque_L_VIPR_ALG4_QKV43780_1_297_626_1_2016_02_12_Spain_Swine_PEDV,
8 COL_Cundinamarca03715_2014_L_VIPR_ALG4_QGQ60239_1_281_610_1_2014_03_16_Colombia_Swine_PEDV,
9 USA_OK10240_6_2017_L_VIPR_ALG4_AVI57395_1_293_622_1_2017_02_07_USA_Swine_PEDV,
10 IWT_1_JPN_2014_L_VIPR_ALG4_948549291_235_564_1_2014_04_Japan_Pig_PEDV,
11 JSCZ1601_L_VIPR_ALG4_1126499706_294_623_1_2016_China_Swine_PEDV,
12 USA_Ohio343_2014_L_VIPR_ALG4_825144517_248_577_1_2014_01_17_USA_Swine_PEDV,
13 PEDV_1931_3_Burgos_Aranda_de_Duero_L_VIPR_ALG4_QKV43810_1_297_626_1_2017_01_19_Spain_Swine_PEDV,
14 CH_YNKM_8_2013_L_VIPR_ALG4_575502657_293_622_1_2013_09_20_China_Unknown_PEDV,
15 KNU_141112_P5_L_VIPR_ALG4_906851972_293_622_1_2014_11_South_Korea_Swine_PEDV,
16 ZJU_G2_2013_L_VIPR_ALG4_ANY27030_1_293_622_1_2013_11_14_China_Swine_PEDV,
17 KNU_1406_1_L_VIPR_ALG4_692148234_293_622_1_2014_03_South_Korea_Swine_PEDV,
18 KCH_2_JPN_2014_L_VIPR_ALG4_948549368_235_564_1_2014_03_Japan_Pig_PEDV,
19 PEDV_7C_L_VIPR_ALG4_761662515_293_622_1_2011_06_China_Swine_PEDV,
20 COL_Antioquia_2014_L_VIPR_ALG4_QGQ60251_1_276_605_1_2015_04_27_Colombia_Swine_PEDV,
21 CH_TP_3_1_2018_L_VIPR_ALG4_QCC26586_1_293_622_1_2018_China_Swine_PEDV,
22 USA_Iowa303_2014_L_VIPR_ALG4_825144846_248_577_1_2014_04_07_USA_Swine_PEDV,
23 USA_Minnesota312_2014_L_VIPR_ALG4_825144699_248_577_1_2014_04_07_USA_Swine_PEDV,
24 KGS_4_JPN_2014_L_VIPR_ALG4_948549235_235_564_1_2014_04_Japan_Pig_PEDV,
25 PEDV_GER_L00798_K11_14_02_2014_L_VIPR_ALG4_SNQ28069_1_293_622_1_NA_NA_Unknown_PEDV,
26 COL_Antioquia09831_2015_L_VIPR_ALG4_QGQ60317_1_281_610_1_2015_07_29_Colombia_Swine_PEDV,
27 KNU_1305_L_VIPR_ALG4_659495322_293_622_1_2013_12_South_Korea_Swine_PEDV,
28 GDS22_L_VIPR_ALG4_QCQ19833_1_293_622_1_2012_09_23_China_Swine_PEDV,
29 USA_Minnesota200_2014_L_VIPR_ALG4_825144832_248_577_1_2014_03_05_USA_Swine_PEDV,
30 KNU_141112_feces_L_VIPR_ALG4_906851953_293_622_1_2014_11_South_Korea_Swine_PEDV,
31 PEDV_GER_L00862_2014_L_VIPR_ALG4_SNQ28087_1_258_587_1_NA_NA_Unknown_PEDV,
32 AH_M_L_VIPR_ALG4_575502852_293_622_1_2011_10_20_China_Unknown_PEDV,
33 PEDV_GER_L01014_K01_15_04_2015_L_VIPR_ALG4_SNQ27948_1_293_622_1_NA_NA_Unknown_PEDV,
34 USA_Minnesota82_2013_L_VIPR_ALG4_658130526_258_587_1_2013_12_02_USA_Swine_PEDV,
35 AH2012_L_VIPR_ALG4_459357907_293_622_1_2012_03_15_China_Swine_PEDV,
36 USA_Minnesota54_2013_L_VIPR_ALG4_658130358_258_587_1_2013_11_02_USA_Swine_PEDV,
37 KNU_1807_L_VIPR_ALG4_QBA57557_1_293_622_1_2018_03_South_Korea_Swine_PEDV,
38 PEDV_GER_L00926_K20_4_01_2014_L_VIPR_ALG4_SNQ27892_1_293_622_1_NA_NA_Unknown_PEDV,
39 COL_ValledelCauca_2015_L_VIPR_ALG4_QGQ60293_1_271_600_1_2017_07_01_Colombia_Swine_PEDV,
40 USA_Iowa162_2014_L_VIPR_ALG4_825144713_248_577_1_2014_02_17_USA_Swine_PEDV,
41 KNU_1816_L_VIPR_ALG4_QBO24662_1_293_622_1_2018_04_South_Korea_Swine_PEDV,
42 USA_Minnesota94_2013_L_VIPR_ALG4_658130596_258_587_1_2013_12_10_USA_Swine_PEDV,
43 KUIDL_PED_2014_007_L_VIPR_ALG4_614790571_72_401_1_2014_02_South_Korea_Swine_PEDV,
44 PEDV_GER_L00999_K06_15_07_2015_L_VIPR_ALG4_SNQ27940_1_269_598_1_NA_NA_Unknown_PEDV,
45 CH_SCCD_2014_L_VIPR_ALG4_1009284165_293_622_1_2014_11_China_Swine_PEDV,
46 FJ2011_L_VIPR_ALG4_AYL64491_1_293_622_1_2011_01_18_China_Swine_PEDV,
47 YN200_L_VIPR_ALG4_946526366_293_622_1_2014_11_11_China_Swine_PEDV,
48 PEDV_10F_L_VIPR_ALG4_761662529_293_622_1_2012_01_China_Swine_PEDV,
49 USA_Ohio295_2014_L_VIPR_ALG4_825144524_248_577_1_2014_02_25_USA_Swine_PEDV,
50 MIE_1_JPN_2014_L_VIPR_ALG4_948549242_235_564_1_2014_03_Japan_Pig_PEDV,
51 PEDV_GER_L01015_K01_15_05_2015_L_VIPR_ALG4_SNQ28056_1_293_622_1_NA_NA_Unknown_PEDV,
52 G2_L_VIPR_ALG4_QCT24236_1_293_622_1_2016_China_Swine_PEDV,
53 HRS_1_JPN_2014_L_VIPR_ALG4_948549228_235_564_1_2014_05_Japan_Pig_PEDV,
54 USA_Texas435_2014_L_VIPR_ALG4_825144895_248_577_1_2014_11_18_USA_Swine_PEDV,
55 USA_Texas424_2014_L_VIPR_ALG4_825144587_248_577_1_2014_10_14_USA_Swine_PEDV,
56 PEDV_MEX_JAL_02_2017_L_VIPR_ALG4_AVU05373_1_123_452_1_2017_02_10_Mexico_Swine_PEDV,
57 NW17_L_VIPR_ALG4_ATY72305_1_293_622_1_2015_China_Swine_PEDV,
58 PEDV_GER_L01061_K07_15_03_2015_L_VIPR_ALG4_SNT95658_1_293_622_1_NA_NA_Unknown_PEDV,
59 GDS08_L_VIPR_ALG4_QCQ19935_1_293_622_1_2011_02_10_China_Swine_PEDV,
60 PEDV_1842_2016_ITA_L_VIPR_ALG4_AQY61718_1_293_622_1_2016_01_28_Italy_Swine_PEDV,
61 COL_Cundinamarca_2015_L_VIPR_ALG4_QGQ60257_1_281_610_1_2015_05_06_Colombia_Swine_PEDV,
62 PEDV_1481_Pamplona_Tudela_L_VIPR_ALG4_QKV43738_1_258_587_1_2014_06_03_Spain_Swine_PEDV,
63 USA_Minnesota41_2013_L_VIPR_ALG4_658130323_258_587_1_2013_10_14_USA_Swine_PEDV,
64 PEDV_JS_A_L_VIPR_ALG4_AZS18877_1_293_622_1_2017_11_10_China_Swine_PEDV,
65 GDS14_L_VIPR_ALG4_QCQ19983_1_293_622_1_2011_03_10_China_Swine_PEDV,
66 CH_SCZY44_2017_L_VIPR_ALG4_AZL47203_1_293_622_1_2017_09_09_China_Swine_PEDV,
67 ZJ15XS0101_P35_L_VIPR_ALG4_QEE80064_1_293_622_1_2016_02_23_China_Swine_PEDV,
68 GD_XL_2019_L_VIPR_ALG4_QLH02027_1_293_622_1_2019_03_18_China_Swine_PEDV,
69 S12_L_VIPR_ALG4_QCO95391_1_293_622_1_2018_02_06_South_Korea_Swine_PEDV,
70 PEDV_GER_L00906_K16_14_01_2014_L_VIPR_ALG4_SNQ27990_1_293_622_1_NA_NA_Unknown_PEDV,
71 USA_Minnesota83_2013_L_VIPR_ALG4_658130533_258_587_1_2013_12_02_USA_Swine_PEDV,
72 PEDV_MEX_GTO_02_2016_L_VIPR_ALG4_AVU05338_1_123_452_1_2016_07_19_Mexico_Swine_PEDV,
73 GDS20_L_VIPR_ALG4_QCQ19803_1_293_622_1_2012_06_22_China_Swine_PEDV,
74 PEDV_1456_Zaragoza_Egea_de_los_Caballeros_L_VIPR_ALG4_QKV43732_1_258_587_1_2014_04_29_Spain_Swine_PEDV,
75 USA_Illinois87_2013_L_VIPR_ALG4_658130554_258_587_1_2013_12_04_USA_Swine_PEDV,
76 PEDV_LY_L_VIPR_ALG4_761662557_293_622_1_2014_01_China_Swine_PEDV,
77 USA_Missouri270_2014_L_VIPR_ALG4_825144965_248_577_1_2014_02_18_USA_Swine_PEDV,
78 USA_Minnesota62_2013_L_VIPR_ALG4_658130400_258_587_1_2013_11_18_USA_Swine_PEDV,
79 PEDV_MEX_JAL_03_2017_L_VIPR_ALG4_AVU05380_1_123_452_1_2017_02_10_Mexico_Swine_PEDV,
80 GDS27_L_VIPR_ALG4_QCQ19905_1_293_622_1_2014_06_06_China_Swine_PEDV,
81 UNKNOWN_MT843278_L_VIPR_ALG4_QMU85400_1_294_623_1_2019_12_China_Unknown_PEDV,
82 USA_Minnesota61_2013_L_VIPR_ALG4_658130729_258_587_1_2013_11_18_USA_Swine_PEDV,
83 PEDV_ROMANIA_L01330_K25_15_02_2015_L_VIPR_ALG4_SNQ28044_1_293_622_1_NA_NA_Unknown_PEDV,
84 USA_NorthCarolina66_2013_L_VIPR_ALG4_658130428_258_587_1_2013_11_23_USA_Swine_PEDV,
85 PEDV_MEX_MICH_01_2013_L_VIPR_ALG4_AVU05408_1_123_452_1_2013_07_24_Mexico_Swine_PEDV,
86 GDS32_L_VIPR_ALG4_QCQ19995_1_293_622_1_2013_02_06_China_Swine_PEDV,
87 USA_Oklahoma38_2013_L_VIPR_ALG4_658130302_258_587_1_2013_09_07_USA_Swine_PEDV,
88 USA_Texas39_2013_L_VIPR_ALG4_658130309_258_587_1_2013_09_28_USA_Swine_PEDV,
89 USA_Minnesota86_2013_L_VIPR_ALG4_658130547_258_587_1_2013_12_07_USA_Swine_PEDV,
90 SQ2014_L_VIPR_ALG4_874526661_293_622_1_2014_03_05_China_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 = (1:1.183709e-03,2:1.767857e-03,32:4.599575e-04,35:5.320564e-04,45:1.179194e-03,48:5.298015e-04,59:4.998684e-04,65:1.209834e-03,73:1.249701e-03,86:4.757785e-04,90:5.010788e-04,(11:4.431892e-04,(16:4.712148e-04,28:5.138475e-04)0.996:1.126698e-03,66:1.863413e-03)1.000:2.522456e-03,((6:2.530522e-03,52:1.255323e-03,67:4.499828e-04,81:1.171750e-03)0.839:1.237487e-03,(19:4.660782e-04,46:4.909287e-04,64:5.456632e-04,68:5.164443e-04)0.963:1.327608e-03)1.000:4.674967e-03,(14:4.346822e-04,47:4.836837e-04)0.989:1.243069e-03,(3:5.126585e-04,4:5.381920e-04,5:4.734225e-04,7:1.206771e-03,8:5.170490e-04,(9:4.806682e-04,55:5.459496e-04)0.986:1.566100e-03,10:5.159368e-04,12:4.930137e-04,13:2.604232e-03,15:4.855174e-04,17:4.980640e-04,18:5.338337e-04,20:1.295015e-03,21:4.575739e-04,22:5.280306e-04,23:4.951581e-04,24:4.724400e-04,25:4.561922e-04,26:4.813090e-04,27:4.590964e-04,29:4.810550e-04,30:4.800508e-04,31:5.061010e-04,(33:5.522903e-04,51:5.359240e-04)0.863:1.181654e-03,34:4.765910e-04,36:5.197521e-04,37:1.363766e-03,38:1.128190e-03,39:4.407654e-04,40:4.662827e-04,41:1.154670e-03,42:4.890589e-04,43:4.791624e-04,44:5.015024e-04,49:4.767694e-04,50:5.267920e-04,53:4.507497e-04,54:4.675596e-04,(56:4.701537e-04,79:5.248449e-04)1.000:1.870336e-03,57:5.098802e-04,58:4.614765e-04,60:1.886203e-03,61:5.013781e-04,62:4.584595e-04,63:5.122013e-04,69:1.177959e-03,70:4.873781e-04,71:5.134936e-04,72:2.385134e-03,74:4.643259e-04,75:4.983263e-04,76:4.555873e-04,77:1.139744e-03,78:4.241516e-04,80:9.548587e-04,82:4.791615e-04,83:4.869128e-04,84:4.872190e-04,85:5.200221e-04,87:4.870070e-04,88:5.089334e-04,89:4.999677e-04)0.910:1.960913e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:1.183709e-03,2:1.767857e-03,32:4.599575e-04,35:5.320564e-04,45:1.179194e-03,48:5.298015e-04,59:4.998684e-04,65:1.209834e-03,73:1.249701e-03,86:4.757785e-04,90:5.010788e-04,(11:4.431892e-04,(16:4.712148e-04,28:5.138475e-04):1.126698e-03,66:1.863413e-03):2.522456e-03,((6:2.530522e-03,52:1.255323e-03,67:4.499828e-04,81:1.171750e-03):1.237487e-03,(19:4.660782e-04,46:4.909287e-04,64:5.456632e-04,68:5.164443e-04):1.327608e-03):4.674967e-03,(14:4.346822e-04,47:4.836837e-04):1.243069e-03,(3:5.126585e-04,4:5.381920e-04,5:4.734225e-04,7:1.206771e-03,8:5.170490e-04,(9:4.806682e-04,55:5.459496e-04):1.566100e-03,10:5.159368e-04,12:4.930137e-04,13:2.604232e-03,15:4.855174e-04,17:4.980640e-04,18:5.338337e-04,20:1.295015e-03,21:4.575739e-04,22:5.280306e-04,23:4.951581e-04,24:4.724400e-04,25:4.561922e-04,26:4.813090e-04,27:4.590964e-04,29:4.810550e-04,30:4.800508e-04,31:5.061010e-04,(33:5.522903e-04,51:5.359240e-04):1.181654e-03,34:4.765910e-04,36:5.197521e-04,37:1.363766e-03,38:1.128190e-03,39:4.407654e-04,40:4.662827e-04,41:1.154670e-03,42:4.890589e-04,43:4.791624e-04,44:5.015024e-04,49:4.767694e-04,50:5.267920e-04,53:4.507497e-04,54:4.675596e-04,(56:4.701537e-04,79:5.248449e-04):1.870336e-03,57:5.098802e-04,58:4.614765e-04,60:1.886203e-03,61:5.013781e-04,62:4.584595e-04,63:5.122013e-04,69:1.177959e-03,70:4.873781e-04,71:5.134936e-04,72:2.385134e-03,74:4.643259e-04,75:4.983263e-04,76:4.555873e-04,77:1.139744e-03,78:4.241516e-04,80:9.548587e-04,82:4.791615e-04,83:4.869128e-04,84:4.872190e-04,85:5.200221e-04,87:4.870070e-04,88:5.089334e-04,89:4.999677e-04):1.960913e-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 -674.84 -692.60
2 -674.29 -693.04
--------------------------------------
TOTAL -674.53 -692.84
--------------------------------------
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} 0.103102 0.000525 0.061581 0.149193 0.101024 1329.14 1383.99 1.000
r(A<->C){all} 0.131387 0.004652 0.023319 0.269231 0.120783 187.27 218.42 1.005
r(A<->G){all} 0.142683 0.004573 0.025689 0.276886 0.132121 231.56 274.41 1.000
r(A<->T){all} 0.171495 0.004495 0.058897 0.305522 0.161596 139.97 239.53 1.001
r(C<->G){all} 0.033746 0.001128 0.000008 0.101200 0.023514 340.55 370.42 1.000
r(C<->T){all} 0.361217 0.007661 0.204502 0.536175 0.358611 293.52 311.81 1.000
r(G<->T){all} 0.159472 0.003627 0.057656 0.277762 0.151172 229.51 291.88 1.000
pi(A){all} 0.198602 0.000440 0.158771 0.239433 0.197852 717.17 898.55 1.000
pi(C){all} 0.223892 0.000469 0.182901 0.266706 0.222984 905.84 1009.21 1.000
pi(G){all} 0.245029 0.000527 0.201416 0.292622 0.244926 794.23 879.16 1.000
pi(T){all} 0.332477 0.000600 0.284229 0.378570 0.332514 987.18 1006.73 1.000
alpha{1,2} 0.495748 0.405915 0.000190 1.742699 0.272084 634.54 716.04 1.001
alpha{3} 1.510256 1.299298 0.002161 3.715868 1.237413 1045.64 1072.09 1.001
pinvar{all} 0.385854 0.038984 0.000337 0.695691 0.394868 612.29 671.12 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
[2J[H /HYPHY 2.3.14.20190214beta(MP) for Linux on x86_64\ ***************** TYPES OF STANDARD ANALYSES ***************** (1) Selection Analyses (2) Evolutionary Hypothesis Testing (3) Relative evolutionary rate inference (4) Coevolutionary analysis (5) Basic Analyses (6) Codon Selection Analyses (7) Compartmentalization (8) Data File Tools (9) Miscellaneous (10) Model Comparison (11) Kernel Analysis Tools (12) Molecular Clock (13) Phylogeny Reconstruction (14) Positive Selection (15) Recombination (16) Selection/Recombination (17) Relative Rate (18) Relative Ratio (19) Substitution Rates Please select type of analyses you want to list (or press ENTER to process custom batch file):[2J[H***************** FILES IN 'Selection Analyses' ***************** (1) [MEME] Test for episodic site-level selection using MEME (Mixed Effects Model of Evolution). (2) [FEL] Test for pervasive site-level selection using FEL (Fixed Effects Likelihood). (3) [SLAC] Test for pervasive site-level selection using SLAC (Single Likelihood Ancestor Counting). (4) [FUBAR] Test for pervasive site-level selection using FUBAR (Fast Unconstrained Bayesian AppRoximation for inferring selection). (5) [BUSTED] Test for episodic gene-wide selection using BUSTED (Branch-site Unrestricted Statistical Test of Episodic Diversification). (6) [aBSREL] Test for lineage-specific evolution using the branch-site method aBS-REL (Adaptive Branch-Site Random Effects Likelihood). (7) [RELAX] Test for relaxation of selection pressure along a specified set of test branches using RELAX (a random effects test of selection relaxation). Please select the analysis you would like to perform (or press ENTER to return to the list of analysis types): Analysis Description -------------------- Perform a Fast Unbiased AppRoximate Bayesian (FUBAR) analysis of a coding sequence alignment to determine whether some sites have been subject to pervasive purifying or diversifying selection. v2.1 introduces two more methods for estimating the posterior distribution of grid weights: collapsed Gibbs MCMC (faster) and 0-th order Variation Bayes approximation (fastest). Please note that a FUBAR analysis generates a cache and a results JSON file in the same directory as directory as the original alignment. HyPhy needs to have write privileges to this directory. For example if the original file is in /home/sergei/FUBAR/data/pol.nex then at the end of a FUBAR run, there will also exist FUBAR-generated files /home/sergei/FUBAR/data/pol.nex.FUBAR.json, /home/sergei/FUBAR/data/pol.nex.fubrar.cache. They also provide checkpointing so that a partially completed analysis can be restarted. - __Requirements__: in-frame codon alignment (possibly partitioned) and a phylogenetic tree (one per partition) - __Citation__: FUBAR: a fast, unconstrained bayesian approximation for inferring selection (2013), Mol Biol Evol. 30(5):1196-205 - __Written by__: Sergei L Kosakovsky Pond - __Contact Information__: spond@temple.edu - __Analysis Version__: 2.1 ####Choose Genetic Code 1. [**Universal**] Universal code. (Genebank transl_table=1). 2. [**Vertebrate mtDNA**] Vertebrate mitochondrial DNA code. (Genebank transl_table=2). 3. [**Yeast mtDNA**] Yeast mitochondrial DNA code. (Genebank transl_table=3). 4. [**Mold/Protozoan mtDNA**] Mold, Protozoan and Coelenterate mitochondrial DNA and the Mycloplasma/Spiroplasma code. (Genebank transl_table=4). 5. [**Invertebrate mtDNA**] Invertebrate mitochondrial DNA code. (Genebank transl_table=5). 6. [**Ciliate Nuclear**] Ciliate, Dasycladacean and Hexamita Nuclear code. (Genebank transl_table=6). 7. [**Echinoderm mtDNA**] Echinoderm mitochondrial DNA code. (Genebank transl_table=9). 8. [**Euplotid Nuclear**] Euplotid Nuclear code. (Genebank transl_table=10). 9. [**Alt. Yeast Nuclear**] Alternative Yeast Nuclear code. (Genebank transl_table=12). 10. [**Ascidian mtDNA**] Ascidian mitochondrial DNA code. (Genebank transl_table=13). 11. [**Flatworm mtDNA**] Flatworm mitochondrial DNA code. (Genebank transl_table=14). 12. [**Blepharisma Nuclear**] Blepharisma Nuclear code. (Genebank transl_table=15). 13. [**Chlorophycean mtDNA**] Chlorophycean Mitochondrial Code (transl_table=16). 14. [**Trematode mtDNA**] Trematode Mitochondrial Code (transl_table=21). 15. [**Scenedesmus obliquus mtDNA**] Scenedesmus obliquus mitochondrial Code (transl_table=22). 16. [**Thraustochytrium mtDNA**] Thraustochytrium Mitochondrial Code (transl_table=23). 17. [**Pterobranchia mtDNA**] Pterobranchia Mitochondrial Code (transl_table=24). 18. [**SR1 and Gracilibacteria**] Candidate Division SR1 and Gracilibacteria Code (transl_table=25). 19. [**Pachysolen Nuclear**] Pachysolen tannophilus Nuclear Code (transl_table=26). >Please choose an option (or press q to cancel selection): >Select a coding sequence alignment file (`/usr/local/lib/hyphy/TemplateBatchFiles/SelectionAnalyses/`) >A tree was found in the data file: `(C34,C65,C16,C13,C60,C312,C117,C123,C129,C141,C441,(C208,(C651,C132),C68),((C196,C111,C648,C465),(C337,C105,C380,C165)),(C75,C642),(C619,C295,C192,C325,C93,(C597,C627),C206,C606,C331,C231,C230,C220,C90,C72,C507,C545,C224,C344,C87,C228,C531,C236,C350,(C366,C368),C571,C555,C248,C356,C99,C504,C252,C579,C260,C362,C603,C272,C182,C628,(C389,C391),C284,C374,C326,C97,C317,C552,C427,C351,C572,C385,C315,C493,C381,C584,C561,C135,C559,C411,C596,C397,C615,C625,C575))` >Would you like to use it (y/n)? >Loaded a multiple sequence alignment with **90** sequences, **110** codons, and **1** partitions from `/data//pss_subsets/LZW_L_VIPR_ALG4_672096710_293_622_1_2012_02_China_Swine_PEDV.result/original_alignment/fubar/results/LZW_L_VIPR_ALG4_672096710_293_622_1_2012_02_China_Swine_PEDV.result.1/LZW_L_VIPR_ALG4_672096710_293_622_1_2012_02_China_Swine_PEDV.result.1.fna` > FUBAR will write cache and result files to _/data//pss_subsets/LZW_L_VIPR_ALG4_672096710_293_622_1_2012_02_China_Swine_PEDV.result/original_alignment/fubar/results/LZW_L_VIPR_ALG4_672096710_293_622_1_2012_02_China_Swine_PEDV.result.1/LZW_L_VIPR_ALG4_672096710_293_622_1_2012_02_China_Swine_PEDV.result.1.fna.FUBAR.cache_ and _/data//pss_subsets/LZW_L_VIPR_ALG4_672096710_293_622_1_2012_02_China_Swine_PEDV.result/original_alignment/fubar/results/LZW_L_VIPR_ALG4_672096710_293_622_1_2012_02_China_Swine_PEDV.result.1/LZW_L_VIPR_ALG4_672096710_293_622_1_2012_02_China_Swine_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) = -843.18, AIC-c = 1903.16 (108 estimated parameters) * Tree length (expected substitutions/site) for partition 1 : 0.174 ### 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 = 0.857 * Computing conditional site likelihoods on a 20 x 20 rate grid ### Running an iterative zeroth order variational Bayes procedure to estimate the posterior mean of rate weights * Using the following settings * Dirichlet alpha : 0.5 ### Tabulating site-level results | Codon | Partition | alpha | beta |Posterior prob for positive selection| |:--------------:|:--------------:|:--------------:|:--------------:|:-----------------------------------:| | 5 | 1 | 1.422 | 16.208 | Pos. posterior = 0.9710 | | 10 | 1 | 0.877 | 10.880 | Pos. posterior = 0.9760 | | 52 | 1 | 0.746 | 7.075 | Pos. posterior = 0.9521 | | 83 | 1 | 1.540 | 6.839 | Pos. posterior = 0.9031 | ---- ## FUBAR inferred 4 sites subject to diversifying positive selection at posterior probability >= 0.9 Of these, 0.20 are expected to be false positives (95% confidence interval of 0-1 )
Not all of the following information may be relevant for the case being handled, since this project may be part of a much larger auto-PSS-genome project where several methods of detection of positively selected sites have been used. As such the aligned.score_ascii file may have more sequences than the file effectively used to detect positively selected codons, since the content of this file reflects the content of the file used for the master alignment, from which a subsample may have been taken # ### General parameters ### # # The maximum number of sequences to use for the master file sequence_limit=90 # The random seed random_seed=3976763 # ### Alignment ### # # The alignment method: clustalw, muscle, kalign, t_coffee, or amap align_method=muscle # Minimum support value for amino acid positions in the alignment tcoffee_min_score=3 # ### MrBayes ### # # Number of iterations in MrBayes mrbayes_generations=1000000 # MrBayes burnin mrbayes_burnin=2500 # ### FUBAR ### # # The maximum number of sequences to be used by FUBAR. fubar_sequence_limit=90 # The number of FUBAR runs fubar_runs=1 # ### codeML ### # # The maximum number of sequences to be used by CodeML codeml_sequence_limit=30 # The number of CodeML runs codeml_runs=1 # The CodeML models to be run, one or more of: '1', '2', '7', and/or '8'. codeml_models=1 2 7 8 # ### OmegaMap ### # # The maximum number of sequences to use in OmegaMap omegamap_sequence_limit=90 # The number of OmegaMap runs omegamap_runs=1 # The number of OmegaMap iterations omegamap_iterations=2500
Phone: +351 220 408 800
Email: info@i3s.up.pt
Address: Rua Alfredo Allen, 208
4200-135 Porto, Portugal
If you use B+, please cite us:
N. Vázquez, C.P. Vieira, B.S.R. Amorin, A. Torres, H. López-Fernández, F. Fdez-Riverola, J.L.R. Sousa, M. Reboiro-Jato, J. Vieira (2018) Large Scale Analyses and Visualization of Adaptive Amino Acid Changes Projects. Interdisciplinary Sciences: Computational Life Sciences. https://doi.org/10.1007/s12539-018-0282-7
N. Vázquez, C.P. Vieira, B.S.R. Amorin, A. Torres, H. López-Fernández, F. Fdez-Riverola, J.L.R. Sousa, M. Reboiro-Jato, J. Vieira (2017) Automated Collection and Sharing of Adaptive Amino Acid Changes Data. 11th International Conference on Practical Applications of Computational Biology & Bioinformatics. Porto, Portugal. https://doi.org/10.1007/978-3-319-60816-7_3
