--- 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 -5013.35 -5038.84
2 -5012.94 -5040.04
--------------------------------------
TOTAL -5013.12 -5039.61
--------------------------------------
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} 0.092014 0.000115 0.072803 0.114224 0.091313 1261.28 1381.14 1.000
r(A<->C){all} 0.034235 0.000233 0.007691 0.063920 0.031959 1025.65 1060.87 1.001
r(A<->G){all} 0.196719 0.001678 0.122818 0.282973 0.194457 620.68 706.60 1.001
r(A<->T){all} 0.067267 0.000290 0.035019 0.099295 0.065832 843.56 928.70 1.000
r(C<->G){all} 0.040166 0.000305 0.008714 0.072696 0.037726 786.83 825.87 1.002
r(C<->T){all} 0.599453 0.002289 0.505871 0.691799 0.600212 534.06 678.52 1.000
r(G<->T){all} 0.062160 0.000294 0.030479 0.095362 0.060578 961.89 1005.08 1.000
pi(A){all} 0.265486 0.000066 0.250618 0.282367 0.265509 1105.71 1143.47 1.000
pi(C){all} 0.183697 0.000051 0.169405 0.196568 0.183808 1120.48 1132.81 1.001
pi(G){all} 0.219148 0.000060 0.203650 0.233593 0.219114 1063.81 1130.94 1.000
pi(T){all} 0.331669 0.000076 0.314090 0.348188 0.331570 1048.02 1106.46 1.000
alpha{1,2} 0.131604 0.004000 0.000981 0.237670 0.130474 1016.80 1091.71 1.000
alpha{3} 2.165546 1.136093 0.601028 4.160129 1.939331 1141.61 1158.74 1.000
pinvar{all} 0.854151 0.000536 0.808894 0.897930 0.856475 696.66 795.50 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
Model 1: NearlyNeutral -4778.011112
Model 2: PositiveSelection -4769.718565
Model 7: beta -4779.883312
Model 8: beta&w>1 -4770.161979
Model 2 vs 1 16.585094
Additional information for M1 vs M2:
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C255)
Pr(w>1) post mean +- SE for w
881 L 1.000** 28.475
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C255)
Pr(w>1) post mean +- SE for w
4 M 0.882 2.320 +- 1.215
6 Y 0.713 2.060 +- 1.253
88 T 0.617 1.827 +- 1.139
881 L 0.914 2.333 +- 1.242
Model 8 vs 7 19.442666
Additional information for M7 vs M8:
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C255)
Pr(w>1) post mean +- SE for w
4 M 0.920 13.085
881 L 1.000** 14.172
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C255)
Pr(w>1) post mean +- SE for w
4 M 0.964* 1.551 +- 0.345
6 Y 0.797 1.362 +- 0.544
88 T 0.736 1.286 +- 0.583
881 L 0.943 1.509 +- 0.437
-- Starting log on Thu Nov 17 16:37:49 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/LZW_nsp9_VIPR_ALG4_672096717_12593_15372_1_2012_02_China_Unknown_PEDV.result--
-- Starting log on Thu Nov 17 16:56:14 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/LZW_nsp9_VIPR_ALG4_672096717_12593_15372_1_2012_02_China_Unknown_PEDV.result--
-- Starting log on Fri Nov 18 03:44:49 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/LZW_nsp9_VIPR_ALG4_672096717_12593_15372_1_2012_02_China_Unknown_PEDV.result/gapped_alignment/codeml,LZW_nsp9_VIPR_ALG4_672096717_12593_15372_1_2012_02_China_Unknown_PEDV.result.1--
MrBayes v3.2.6 x64
(Bayesian Analysis of Phylogeny)
Distributed under the GNU General Public License
Type "help" or "help <command>" for information
on the commands that are available.
Type "about" for authorship and general
information about the program.
Executing file "/data/mrbayes_input.nex"
UNIX line termination
Longest line length = 63
Parsing file
Expecting NEXUS formatted file
Reading data block
Allocated taxon set
Allocated matrix
Defining new matrix with 30 taxa and 2823 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C521
Taxon 2 -> C322
Taxon 3 -> C64
Taxon 4 -> C317
Taxon 5 -> C533
Taxon 6 -> C328
Taxon 7 -> C275
Taxon 8 -> C407
Taxon 9 -> C334
Taxon 10 -> C449
Taxon 11 -> C61
Taxon 12 -> C82
Taxon 13 -> C316
Taxon 14 -> C255
Taxon 15 -> C112
Taxon 16 -> C181
Taxon 17 -> C58
Taxon 18 -> C290
Taxon 19 -> C107
Taxon 20 -> C144
Taxon 21 -> C398
Taxon 22 -> C136
Taxon 23 -> C135
Taxon 24 -> C526
Taxon 25 -> C209
Taxon 26 -> C425
Taxon 27 -> C400
Taxon 28 -> C565
Taxon 29 -> C391
Taxon 30 -> C270
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1668743091
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) = 1630828154
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 = 1198532993
Seed = 2052988112
Swapseed = 1668743091
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 26 unique site patterns
Division 2 has 18 unique site patterns
Division 3 has 74 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 -- -8026.746651 -- 82.122948
Chain 2 -- -8092.416503 -- 82.122948
Chain 3 -- -8036.046154 -- 82.122948
Chain 4 -- -8134.194070 -- 82.122948
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -7998.900372 -- 82.122948
Chain 2 -- -7923.915784 -- 82.122948
Chain 3 -- -8001.783655 -- 82.122948
Chain 4 -- -7934.262418 -- 82.122948
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-8026.747] (-8092.417) (-8036.046) (-8134.194) * [-7998.900] (-7923.916) (-8001.784) (-7934.262)
1000 -- (-5277.850) (-5353.428) [-5209.449] (-5361.205) * (-5264.688) [-5224.506] (-5241.791) (-5218.182) -- 0:16:39
2000 -- (-5140.962) [-5086.805] (-5127.500) (-5129.150) * (-5122.643) (-5145.635) (-5134.414) [-5130.953] -- 0:24:57
3000 -- (-5102.134) [-5049.857] (-5103.414) (-5081.184) * [-5094.587] (-5100.057) (-5120.849) (-5115.647) -- 0:27:41
4000 -- (-5085.278) (-5058.495) (-5073.310) [-5044.324] * [-5053.783] (-5075.618) (-5081.492) (-5074.094) -- 0:29:03
5000 -- (-5076.260) (-5051.041) (-5071.685) [-5020.109] * [-5052.919] (-5059.367) (-5076.852) (-5060.427) -- 0:26:32
Average standard deviation of split frequencies: 0.101413
6000 -- [-5074.129] (-5076.672) (-5057.350) (-5032.071) * [-5043.049] (-5068.810) (-5058.545) (-5042.241) -- 0:27:36
7000 -- (-5071.633) (-5031.453) [-5051.983] (-5030.186) * (-5033.054) (-5050.899) (-5050.689) [-5032.243] -- 0:26:00
8000 -- (-5065.914) (-5034.338) [-5050.900] (-5042.909) * [-5027.865] (-5046.719) (-5049.584) (-5038.301) -- 0:26:52
9000 -- (-5067.068) (-5036.547) [-5048.654] (-5050.149) * [-5033.286] (-5064.221) (-5036.142) (-5037.736) -- 0:27:31
10000 -- (-5055.212) [-5025.799] (-5055.335) (-5039.784) * [-5026.482] (-5055.705) (-5045.114) (-5038.635) -- 0:26:24
Average standard deviation of split frequencies: 0.144938
11000 -- [-5053.283] (-5032.678) (-5064.622) (-5038.152) * (-5032.370) (-5048.315) (-5049.348) [-5020.415] -- 0:25:28
12000 -- (-5046.821) (-5049.629) (-5044.487) [-5016.359] * (-5017.919) (-5041.006) (-5050.784) [-5026.039] -- 0:24:42
13000 -- (-5059.750) (-5044.780) [-5050.610] (-5032.763) * (-5016.783) [-5032.355] (-5045.318) (-5056.439) -- 0:24:02
14000 -- (-5050.558) (-5021.088) [-5043.233] (-5028.666) * [-5025.395] (-5028.204) (-5034.468) (-5042.335) -- 0:23:28
15000 -- (-5047.596) (-5038.603) [-5058.904] (-5036.863) * (-5035.296) (-5025.944) (-5057.737) [-5029.748] -- 0:22:59
Average standard deviation of split frequencies: 0.154385
16000 -- (-5051.122) (-5036.173) (-5043.352) [-5034.177] * (-5045.677) [-5022.466] (-5060.297) (-5044.712) -- 0:22:33
17000 -- (-5035.469) [-5021.951] (-5052.330) (-5038.854) * (-5040.422) [-5029.372] (-5041.056) (-5042.482) -- 0:22:09
18000 -- (-5029.769) [-5019.198] (-5057.516) (-5043.897) * (-5041.134) [-5033.517] (-5039.047) (-5019.372) -- 0:21:49
19000 -- (-5039.685) [-5015.963] (-5057.806) (-5043.205) * [-5016.347] (-5037.007) (-5043.597) (-5022.452) -- 0:22:22
20000 -- (-5029.633) (-5034.416) [-5041.644] (-5043.137) * (-5025.035) (-5039.671) (-5030.623) [-5026.144] -- 0:22:03
Average standard deviation of split frequencies: 0.137946
21000 -- [-5035.441] (-5025.801) (-5036.654) (-5042.380) * [-5043.108] (-5026.252) (-5052.137) (-5023.956) -- 0:21:45
22000 -- (-5051.881) [-5022.035] (-5040.560) (-5050.725) * (-5042.309) [-5028.897] (-5033.405) (-5047.799) -- 0:21:29
23000 -- (-5057.702) [-5025.097] (-5023.136) (-5034.726) * [-5027.433] (-5027.875) (-5041.097) (-5026.788) -- 0:21:14
24000 -- (-5038.707) [-5034.657] (-5032.924) (-5061.862) * [-5020.058] (-5028.860) (-5053.082) (-5035.065) -- 0:21:00
25000 -- (-5032.442) [-5021.207] (-5035.739) (-5050.694) * (-5033.078) [-5030.102] (-5048.911) (-5022.617) -- 0:20:48
Average standard deviation of split frequencies: 0.097598
26000 -- (-5054.969) [-5018.731] (-5030.813) (-5040.901) * [-5022.079] (-5022.652) (-5041.274) (-5039.369) -- 0:20:36
27000 -- (-5049.283) [-5022.335] (-5022.366) (-5052.213) * (-5033.551) (-5018.939) (-5060.361) [-5035.011] -- 0:20:25
28000 -- (-5048.419) (-5036.029) [-5018.386] (-5036.884) * (-5042.943) [-5021.178] (-5031.992) (-5036.291) -- 0:20:15
29000 -- (-5035.222) (-5033.444) [-5023.310] (-5038.124) * [-5014.995] (-5031.052) (-5054.620) (-5042.684) -- 0:20:05
30000 -- (-5055.803) (-5030.136) [-5034.059] (-5050.526) * (-5037.614) (-5030.967) (-5045.220) [-5022.299] -- 0:19:56
Average standard deviation of split frequencies: 0.077378
31000 -- (-5038.870) (-5055.407) (-5044.744) [-5021.970] * (-5042.528) (-5048.243) [-5035.249] (-5029.071) -- 0:19:47
32000 -- (-5030.912) (-5045.898) (-5058.322) [-5025.344] * (-5053.725) (-5031.471) (-5047.964) [-5026.341] -- 0:19:39
33000 -- (-5031.855) (-5037.183) (-5048.699) [-5019.642] * (-5044.732) (-5022.200) (-5041.412) [-5017.025] -- 0:19:32
34000 -- (-5059.736) (-5041.015) (-5029.486) [-5019.385] * (-5046.423) [-5016.579] (-5050.842) (-5027.490) -- 0:19:24
35000 -- (-5042.039) (-5045.797) (-5033.888) [-5020.197] * (-5044.422) [-5028.331] (-5039.516) (-5038.734) -- 0:19:18
Average standard deviation of split frequencies: 0.067296
36000 -- (-5027.192) (-5035.745) [-5029.675] (-5025.904) * (-5040.298) (-5033.886) (-5043.113) [-5025.206] -- 0:19:11
37000 -- (-5032.173) (-5032.159) [-5019.731] (-5033.414) * [-5032.204] (-5029.292) (-5047.995) (-5036.492) -- 0:19:05
38000 -- (-5038.210) (-5041.397) [-5033.622] (-5016.253) * [-5028.549] (-5058.632) (-5043.805) (-5019.868) -- 0:18:59
39000 -- (-5029.729) (-5030.703) (-5063.162) [-5018.847] * (-5033.072) (-5033.507) (-5069.028) [-5020.111] -- 0:18:53
40000 -- [-5026.507] (-5036.660) (-5041.744) (-5027.347) * (-5014.740) (-5041.953) (-5063.686) [-5007.992] -- 0:18:48
Average standard deviation of split frequencies: 0.053998
41000 -- (-5045.067) (-5035.492) [-5033.785] (-5041.586) * (-5033.007) [-5028.961] (-5049.387) (-5027.428) -- 0:18:42
42000 -- (-5036.628) (-5024.116) [-5037.863] (-5033.372) * (-5031.854) (-5042.486) [-5030.672] (-5021.878) -- 0:18:37
43000 -- (-5022.849) [-5020.919] (-5023.253) (-5039.384) * (-5029.219) (-5035.577) [-5019.190] (-5025.443) -- 0:18:32
44000 -- [-5025.241] (-5053.429) (-5030.295) (-5038.929) * (-5028.242) (-5029.502) [-5020.701] (-5035.239) -- 0:18:28
45000 -- (-5046.890) (-5050.433) (-5034.425) [-5020.897] * [-5031.008] (-5027.766) (-5017.780) (-5032.070) -- 0:18:23
Average standard deviation of split frequencies: 0.050516
46000 -- (-5055.353) (-5041.029) (-5021.153) [-5021.860] * (-5036.731) (-5035.996) (-5032.001) [-5019.272] -- 0:18:19
47000 -- (-5047.497) (-5037.000) [-5036.827] (-5042.554) * (-5021.323) (-5024.021) [-5024.667] (-5021.903) -- 0:18:14
48000 -- (-5046.552) (-5028.158) [-5017.236] (-5034.468) * (-5021.940) (-5055.228) (-5030.249) [-5018.611] -- 0:18:10
49000 -- (-5031.501) (-5022.894) (-5024.960) [-5031.568] * [-5024.958] (-5041.023) (-5035.680) (-5030.523) -- 0:18:06
50000 -- (-5031.372) (-5036.677) (-5041.486) [-5023.411] * (-5044.196) (-5031.264) (-5028.967) [-5025.495] -- 0:18:03
Average standard deviation of split frequencies: 0.040988
51000 -- (-5033.446) [-5016.635] (-5030.650) (-5057.770) * [-5030.130] (-5042.956) (-5031.072) (-5031.601) -- 0:17:59
52000 -- [-5027.288] (-5025.828) (-5037.593) (-5047.903) * (-5044.623) (-5043.088) (-5032.347) [-5017.289] -- 0:17:55
53000 -- (-5034.444) [-5022.180] (-5029.628) (-5029.208) * (-5040.091) (-5046.264) (-5022.187) [-5032.670] -- 0:17:52
54000 -- (-5034.835) (-5041.229) (-5040.202) [-5036.268] * (-5039.962) [-5031.891] (-5015.716) (-5036.026) -- 0:17:48
55000 -- (-5041.602) (-5043.160) (-5023.099) [-5026.431] * (-5048.078) (-5027.366) (-5037.772) [-5016.237] -- 0:17:45
Average standard deviation of split frequencies: 0.037262
56000 -- (-5043.125) (-5046.871) (-5034.195) [-5030.556] * (-5040.881) [-5030.350] (-5018.690) (-5030.757) -- 0:17:42
57000 -- (-5034.346) (-5043.215) (-5019.533) [-5020.212] * (-5047.436) (-5041.476) (-5023.728) [-5018.158] -- 0:17:38
58000 -- (-5022.042) (-5029.303) [-5019.519] (-5050.064) * (-5042.913) (-5035.960) [-5019.734] (-5029.693) -- 0:17:35
59000 -- (-5030.397) (-5040.419) [-5024.614] (-5043.188) * (-5026.917) (-5029.194) [-5030.587] (-5047.984) -- 0:17:32
60000 -- (-5021.703) (-5023.412) (-5041.756) [-5017.043] * (-5032.193) [-5023.734] (-5031.342) (-5028.511) -- 0:17:29
Average standard deviation of split frequencies: 0.034677
61000 -- (-5031.490) (-5025.673) (-5045.110) [-5024.079] * (-5034.749) [-5034.687] (-5045.802) (-5045.762) -- 0:17:26
62000 -- (-5032.812) (-5033.718) [-5031.841] (-5050.356) * (-5033.623) (-5061.466) [-5035.626] (-5027.161) -- 0:17:23
63000 -- [-5031.360] (-5035.372) (-5035.396) (-5042.627) * [-5029.928] (-5026.345) (-5037.285) (-5043.248) -- 0:17:21
64000 -- (-5041.340) (-5021.188) [-5032.090] (-5045.551) * (-5032.705) [-5018.679] (-5034.045) (-5029.406) -- 0:17:18
65000 -- [-5022.015] (-5036.456) (-5029.526) (-5039.400) * [-5024.186] (-5043.431) (-5029.138) (-5034.990) -- 0:17:15
Average standard deviation of split frequencies: 0.030407
66000 -- (-5030.141) (-5032.354) [-5021.169] (-5044.397) * [-5026.190] (-5049.892) (-5046.926) (-5035.785) -- 0:17:13
67000 -- (-5037.121) (-5044.477) [-5018.713] (-5027.248) * [-5025.675] (-5035.960) (-5036.922) (-5026.727) -- 0:17:10
68000 -- (-5030.563) [-5030.522] (-5030.384) (-5030.964) * (-5044.444) (-5041.327) [-5020.964] (-5040.906) -- 0:17:07
69000 -- (-5047.496) [-5011.108] (-5039.610) (-5025.814) * (-5047.145) (-5046.539) [-5019.468] (-5045.058) -- 0:17:05
70000 -- (-5025.632) [-5018.820] (-5048.341) (-5044.369) * (-5028.809) (-5037.441) [-5021.073] (-5032.150) -- 0:17:03
Average standard deviation of split frequencies: 0.030781
71000 -- (-5061.282) [-5028.103] (-5037.148) (-5034.133) * (-5029.952) [-5019.730] (-5024.250) (-5034.978) -- 0:17:00
72000 -- (-5036.445) (-5032.992) (-5041.497) [-5028.749] * (-5027.247) [-5023.151] (-5039.880) (-5032.502) -- 0:16:58
73000 -- (-5027.272) (-5015.980) (-5032.326) [-5028.162] * (-5031.375) [-5015.569] (-5034.220) (-5044.732) -- 0:16:55
74000 -- [-5024.220] (-5033.857) (-5037.968) (-5034.661) * (-5033.427) [-5012.570] (-5038.872) (-5030.554) -- 0:16:53
75000 -- (-5033.080) [-5018.336] (-5020.675) (-5028.145) * (-5030.289) (-5032.980) [-5024.080] (-5037.102) -- 0:16:51
Average standard deviation of split frequencies: 0.027182
76000 -- [-5027.241] (-5027.371) (-5025.856) (-5039.318) * (-5037.596) [-5021.780] (-5034.909) (-5036.161) -- 0:16:49
77000 -- (-5027.009) (-5024.858) [-5029.391] (-5056.563) * (-5050.487) [-5024.685] (-5033.716) (-5021.090) -- 0:16:46
78000 -- [-5022.171] (-5036.793) (-5021.618) (-5034.768) * (-5048.148) (-5046.193) (-5060.097) [-5029.752] -- 0:16:44
79000 -- (-5015.630) (-5034.829) (-5024.935) [-5016.917] * (-5066.729) (-5047.283) (-5022.817) [-5035.146] -- 0:16:42
80000 -- (-5034.586) (-5023.450) [-5017.303] (-5032.462) * [-5022.140] (-5036.605) (-5020.403) (-5042.829) -- 0:16:40
Average standard deviation of split frequencies: 0.026641
81000 -- [-5018.486] (-5030.725) (-5033.536) (-5037.523) * (-5020.728) (-5026.244) [-5022.076] (-5037.409) -- 0:16:38
82000 -- (-5040.155) [-5022.434] (-5023.586) (-5022.436) * (-5026.049) (-5029.985) [-5016.749] (-5045.458) -- 0:16:36
83000 -- (-5028.287) [-5039.778] (-5026.807) (-5036.922) * (-5018.865) (-5031.286) [-5029.768] (-5046.768) -- 0:16:34
84000 -- (-5031.335) (-5039.345) [-5022.084] (-5030.070) * (-5029.082) [-5028.196] (-5029.437) (-5041.055) -- 0:16:32
85000 -- (-5026.805) (-5032.424) [-5028.419] (-5039.021) * (-5024.981) (-5041.513) (-5031.932) [-5022.018] -- 0:16:30
Average standard deviation of split frequencies: 0.025632
86000 -- (-5025.123) [-5022.203] (-5036.342) (-5043.070) * (-5047.549) [-5025.228] (-5030.001) (-5030.100) -- 0:16:28
87000 -- (-5029.148) (-5037.540) (-5031.393) [-5029.847] * (-5038.192) (-5036.726) [-5030.267] (-5027.502) -- 0:16:26
88000 -- (-5037.376) (-5057.389) (-5037.418) [-5027.426] * (-5031.065) [-5034.582] (-5036.871) (-5030.661) -- 0:16:24
89000 -- [-5026.491] (-5051.676) (-5048.223) (-5034.438) * (-5039.283) (-5031.771) (-5038.275) [-5027.911] -- 0:16:22
90000 -- [-5023.049] (-5042.524) (-5030.824) (-5042.972) * (-5035.595) (-5041.204) (-5024.850) [-5018.283] -- 0:16:20
Average standard deviation of split frequencies: 0.025469
91000 -- (-5031.536) (-5046.648) [-5021.241] (-5031.510) * [-5033.192] (-5040.545) (-5029.901) (-5023.778) -- 0:16:18
92000 -- (-5037.206) [-5024.738] (-5024.029) (-5026.658) * (-5022.843) (-5021.360) (-5046.766) [-5016.117] -- 0:16:17
93000 -- (-5061.244) [-5018.957] (-5029.959) (-5027.356) * [-5035.151] (-5037.244) (-5036.507) (-5018.500) -- 0:16:15
94000 -- (-5048.028) (-5012.712) [-5026.659] (-5030.626) * (-5056.106) (-5031.247) [-5036.227] (-5024.565) -- 0:16:13
95000 -- (-5042.422) [-5017.662] (-5029.549) (-5036.899) * (-5029.212) (-5033.261) (-5030.388) [-5021.524] -- 0:16:11
Average standard deviation of split frequencies: 0.025406
96000 -- [-5035.082] (-5032.505) (-5022.677) (-5046.181) * [-5017.803] (-5027.013) (-5036.121) (-5042.905) -- 0:16:09
97000 -- (-5033.823) [-5023.107] (-5019.361) (-5071.781) * (-5030.859) (-5018.573) (-5030.355) [-5025.363] -- 0:16:08
98000 -- (-5036.685) [-5026.628] (-5028.417) (-5029.320) * (-5026.083) (-5025.837) (-5034.348) [-5019.060] -- 0:16:06
99000 -- (-5037.384) (-5034.576) [-5034.267] (-5034.252) * (-5024.950) (-5016.362) [-5032.244] (-5046.158) -- 0:16:04
100000 -- (-5026.418) [-5026.658] (-5025.029) (-5027.421) * [-5019.603] (-5026.606) (-5026.653) (-5047.004) -- 0:16:03
Average standard deviation of split frequencies: 0.026944
101000 -- [-5026.096] (-5024.211) (-5041.430) (-5031.940) * (-5036.364) [-5028.910] (-5040.779) (-5040.230) -- 0:16:01
102000 -- (-5045.883) (-5034.874) [-5019.099] (-5051.624) * (-5046.825) (-5019.436) (-5028.902) [-5018.681] -- 0:15:59
103000 -- (-5038.729) (-5032.121) [-5017.438] (-5016.413) * (-5035.139) [-5022.682] (-5045.771) (-5025.917) -- 0:16:06
104000 -- (-5010.433) (-5044.274) [-5018.145] (-5028.902) * [-5028.912] (-5028.818) (-5035.129) (-5025.681) -- 0:16:04
105000 -- [-5021.806] (-5027.914) (-5044.364) (-5032.005) * (-5027.552) (-5036.571) [-5034.514] (-5044.702) -- 0:16:03
Average standard deviation of split frequencies: 0.024525
106000 -- (-5031.005) [-5033.159] (-5035.972) (-5027.626) * (-5028.162) (-5021.777) (-5029.239) [-5013.098] -- 0:16:01
107000 -- (-5037.770) [-5029.672] (-5011.701) (-5043.404) * [-5033.977] (-5029.331) (-5020.519) (-5034.858) -- 0:15:59
108000 -- (-5035.069) (-5044.689) [-5028.820] (-5032.659) * (-5046.642) (-5034.104) (-5047.292) [-5023.312] -- 0:15:58
109000 -- (-5042.224) (-5042.854) [-5007.062] (-5019.124) * (-5020.302) [-5029.970] (-5048.338) (-5034.279) -- 0:15:56
110000 -- (-5039.654) (-5024.919) [-5020.300] (-5043.285) * (-5027.242) (-5044.340) (-5063.837) [-5020.402] -- 0:15:54
Average standard deviation of split frequencies: 0.024158
111000 -- (-5031.648) [-5012.906] (-5039.499) (-5044.719) * (-5031.885) (-5022.122) [-5031.014] (-5018.459) -- 0:15:53
112000 -- (-5027.438) [-5021.746] (-5037.430) (-5036.769) * (-5035.301) (-5042.278) (-5035.123) [-5013.674] -- 0:15:51
113000 -- (-5021.362) (-5023.948) (-5035.051) [-5030.494] * (-5035.365) (-5038.171) (-5031.354) [-5025.762] -- 0:15:49
114000 -- (-5029.410) (-5037.172) (-5042.809) [-5033.161] * (-5055.727) (-5043.749) (-5028.273) [-5030.011] -- 0:15:48
115000 -- (-5035.186) [-5031.483] (-5028.893) (-5029.585) * [-5033.731] (-5032.123) (-5035.999) (-5024.139) -- 0:15:46
Average standard deviation of split frequencies: 0.024151
116000 -- (-5037.136) [-5025.471] (-5031.924) (-5030.871) * (-5043.757) (-5022.692) [-5023.254] (-5020.020) -- 0:15:44
117000 -- (-5020.961) (-5031.770) [-5017.634] (-5035.748) * (-5031.257) (-5023.960) (-5019.950) [-5020.717] -- 0:15:43
118000 -- (-5041.507) (-5038.368) [-5022.767] (-5022.749) * [-5032.508] (-5022.194) (-5033.015) (-5043.363) -- 0:15:41
119000 -- (-5044.202) [-5029.345] (-5027.893) (-5035.676) * (-5038.450) (-5016.226) [-5031.594] (-5051.619) -- 0:15:40
120000 -- (-5062.469) (-5041.273) [-5028.457] (-5036.346) * (-5039.720) (-5020.907) [-5023.329] (-5034.694) -- 0:15:38
Average standard deviation of split frequencies: 0.023333
121000 -- (-5038.619) (-5030.044) [-5032.385] (-5030.464) * (-5038.291) [-5015.125] (-5033.652) (-5034.419) -- 0:15:44
122000 -- (-5023.496) (-5031.599) (-5041.797) [-5023.022] * (-5044.903) [-5029.888] (-5028.247) (-5043.307) -- 0:15:42
123000 -- (-5032.993) (-5030.666) [-5021.554] (-5034.646) * (-5027.244) [-5039.969] (-5038.376) (-5051.370) -- 0:15:48
124000 -- (-5045.074) (-5032.064) [-5031.495] (-5025.561) * (-5033.655) (-5040.547) (-5037.656) [-5032.026] -- 0:15:46
125000 -- (-5034.216) (-5034.689) [-5029.718] (-5032.524) * (-5020.407) (-5050.534) [-5039.804] (-5058.309) -- 0:15:52
Average standard deviation of split frequencies: 0.022858
126000 -- (-5038.215) (-5022.073) (-5034.055) [-5026.170] * [-5017.538] (-5033.696) (-5043.925) (-5058.957) -- 0:15:50
127000 -- (-5051.854) (-5031.346) (-5022.325) [-5030.048] * [-5020.083] (-5031.146) (-5034.280) (-5048.241) -- 0:15:55
128000 -- (-5034.409) [-5021.664] (-5030.629) (-5028.447) * [-5024.800] (-5031.718) (-5043.808) (-5033.186) -- 0:15:53
129000 -- (-5031.805) (-5044.088) (-5025.287) [-5012.678] * (-5044.942) [-5035.893] (-5038.827) (-5038.836) -- 0:15:58
130000 -- (-5023.842) [-5021.446] (-5036.114) (-5020.738) * [-5028.147] (-5039.914) (-5023.197) (-5029.388) -- 0:15:57
Average standard deviation of split frequencies: 0.022967
131000 -- [-5017.505] (-5038.632) (-5041.336) (-5029.031) * [-5015.500] (-5028.088) (-5029.048) (-5035.082) -- 0:16:01
132000 -- (-5024.279) (-5046.376) (-5030.116) [-5020.037] * [-5029.755] (-5031.561) (-5030.178) (-5049.265) -- 0:16:00
133000 -- (-5019.180) (-5034.319) (-5023.164) [-5015.209] * [-5031.825] (-5028.498) (-5017.805) (-5045.510) -- 0:16:04
134000 -- (-5025.516) [-5030.284] (-5037.298) (-5031.948) * (-5027.203) (-5046.268) [-5034.435] (-5040.345) -- 0:16:02
135000 -- (-5031.296) (-5030.401) [-5023.379] (-5027.866) * (-5040.930) (-5034.670) (-5044.023) [-5023.631] -- 0:16:07
Average standard deviation of split frequencies: 0.021041
136000 -- (-5032.579) (-5019.664) [-5017.731] (-5046.382) * (-5035.300) [-5018.955] (-5027.323) (-5038.388) -- 0:16:11
137000 -- (-5027.814) (-5051.663) [-5020.594] (-5036.203) * (-5042.586) (-5027.573) [-5024.197] (-5017.750) -- 0:16:10
138000 -- [-5006.378] (-5045.487) (-5029.105) (-5039.303) * (-5049.285) [-5024.311] (-5047.238) (-5031.820) -- 0:16:14
139000 -- [-5032.111] (-5067.270) (-5023.100) (-5023.340) * (-5040.046) (-5035.386) [-5029.715] (-5024.774) -- 0:16:12
140000 -- [-5019.271] (-5028.846) (-5052.036) (-5026.074) * [-5023.958] (-5035.643) (-5034.780) (-5030.913) -- 0:16:16
Average standard deviation of split frequencies: 0.020815
141000 -- (-5015.830) (-5030.796) (-5046.466) [-5025.403] * [-5026.498] (-5037.736) (-5020.006) (-5039.269) -- 0:16:14
142000 -- (-5034.464) (-5023.573) (-5040.350) [-5024.263] * [-5016.383] (-5044.903) (-5036.626) (-5040.639) -- 0:16:12
143000 -- (-5029.095) [-5029.950] (-5032.192) (-5038.105) * (-5039.441) (-5044.734) (-5025.329) [-5022.282] -- 0:16:16
144000 -- (-5020.753) (-5033.944) (-5034.961) [-5020.012] * (-5033.412) (-5040.784) (-5031.789) [-5028.117] -- 0:16:20
145000 -- (-5008.315) (-5037.432) (-5042.208) [-5019.471] * (-5034.328) (-5042.788) (-5024.051) [-5018.336] -- 0:16:18
Average standard deviation of split frequencies: 0.020965
146000 -- [-5015.873] (-5035.551) (-5037.888) (-5030.176) * (-5043.422) (-5044.885) [-5017.701] (-5037.593) -- 0:16:16
147000 -- (-5025.056) (-5045.288) (-5049.344) [-5029.744] * (-5046.972) (-5042.406) (-5027.550) [-5028.145] -- 0:16:20
148000 -- [-5022.991] (-5026.598) (-5028.822) (-5026.592) * (-5045.377) (-5053.589) [-5011.345] (-5028.049) -- 0:16:24
149000 -- (-5019.155) [-5023.383] (-5038.214) (-5040.210) * (-5025.260) (-5054.833) (-5033.263) [-5025.959] -- 0:16:22
150000 -- (-5029.922) (-5035.392) [-5015.620] (-5028.832) * (-5026.227) (-5032.080) [-5028.256] (-5041.766) -- 0:16:26
Average standard deviation of split frequencies: 0.022304
151000 -- (-5027.758) (-5014.195) [-5015.927] (-5044.108) * (-5036.849) (-5044.115) [-5019.230] (-5016.723) -- 0:16:23
152000 -- (-5018.913) (-5028.962) (-5027.728) [-5029.823] * (-5033.551) [-5025.888] (-5042.662) (-5021.592) -- 0:16:27
153000 -- [-5026.342] (-5038.656) (-5036.237) (-5047.997) * (-5025.588) (-5022.134) [-5023.344] (-5025.552) -- 0:16:25
154000 -- [-5019.523] (-5039.504) (-5028.586) (-5045.924) * (-5035.275) (-5024.458) [-5020.818] (-5032.040) -- 0:16:23
155000 -- (-5042.572) (-5025.206) [-5021.278] (-5040.483) * (-5026.771) (-5032.067) [-5026.194] (-5046.441) -- 0:16:21
Average standard deviation of split frequencies: 0.021843
156000 -- (-5032.482) (-5016.729) (-5027.726) [-5025.365] * (-5041.289) [-5029.887] (-5019.001) (-5064.905) -- 0:16:19
157000 -- (-5032.428) [-5023.777] (-5030.934) (-5033.130) * [-5022.224] (-5030.520) (-5022.876) (-5046.640) -- 0:16:17
158000 -- (-5037.238) (-5035.301) (-5025.873) [-5033.595] * (-5038.997) (-5032.071) [-5017.416] (-5035.422) -- 0:16:15
159000 -- (-5028.823) (-5019.348) [-5027.599] (-5041.872) * (-5021.428) [-5018.995] (-5032.817) (-5046.723) -- 0:16:13
160000 -- (-5016.083) (-5063.450) [-5018.445] (-5041.138) * [-5015.901] (-5022.462) (-5030.435) (-5046.430) -- 0:16:11
Average standard deviation of split frequencies: 0.019910
161000 -- (-5029.350) (-5055.429) [-5022.564] (-5032.431) * [-5034.209] (-5026.146) (-5018.813) (-5035.255) -- 0:16:14
162000 -- (-5022.929) (-5042.499) [-5025.745] (-5022.959) * (-5046.566) [-5017.179] (-5037.651) (-5024.558) -- 0:16:12
163000 -- [-5026.761] (-5033.031) (-5032.817) (-5025.398) * (-5032.579) (-5027.925) [-5028.209] (-5025.536) -- 0:16:10
164000 -- (-5027.731) [-5034.143] (-5042.689) (-5023.556) * (-5032.675) (-5024.934) (-5050.799) [-5016.811] -- 0:16:08
165000 -- (-5021.024) (-5037.573) (-5037.040) [-5030.140] * [-5026.408] (-5036.671) (-5042.021) (-5021.650) -- 0:16:06
Average standard deviation of split frequencies: 0.019399
166000 -- (-5044.770) (-5039.330) (-5033.360) [-5022.816] * (-5054.158) (-5033.784) (-5053.366) [-5032.583] -- 0:16:04
167000 -- (-5043.556) (-5037.537) [-5026.786] (-5019.346) * [-5019.370] (-5027.887) (-5036.943) (-5032.246) -- 0:16:02
168000 -- (-5055.152) [-5027.651] (-5009.687) (-5035.414) * (-5032.880) (-5030.358) [-5037.492] (-5033.854) -- 0:16:00
169000 -- [-5027.582] (-5045.299) (-5020.024) (-5030.966) * (-5039.472) (-5027.681) [-5022.962] (-5046.065) -- 0:15:58
170000 -- (-5031.180) (-5043.510) [-5014.047] (-5034.452) * (-5017.621) [-5035.121] (-5040.188) (-5033.804) -- 0:15:56
Average standard deviation of split frequencies: 0.019095
171000 -- (-5039.344) [-5033.300] (-5026.416) (-5037.513) * (-5017.295) (-5030.285) [-5022.677] (-5030.489) -- 0:15:55
172000 -- (-5039.804) (-5042.516) [-5022.763] (-5039.289) * [-5028.791] (-5036.480) (-5032.330) (-5030.062) -- 0:15:53
173000 -- (-5046.788) (-5044.801) [-5021.019] (-5024.673) * (-5034.183) (-5031.146) (-5033.353) [-5020.960] -- 0:15:51
174000 -- (-5031.330) (-5061.580) [-5019.847] (-5020.138) * (-5037.861) [-5029.298] (-5042.792) (-5027.091) -- 0:15:49
175000 -- (-5029.200) (-5042.277) [-5020.026] (-5029.713) * (-5021.655) (-5022.902) (-5030.269) [-5020.972] -- 0:15:47
Average standard deviation of split frequencies: 0.019222
176000 -- (-5046.887) [-5031.647] (-5031.920) (-5029.366) * (-5030.064) (-5040.144) [-5015.773] (-5037.251) -- 0:15:45
177000 -- (-5042.608) (-5030.989) (-5040.859) [-5013.041] * (-5038.855) (-5041.622) [-5025.218] (-5031.582) -- 0:15:43
178000 -- [-5024.323] (-5032.230) (-5038.549) (-5015.221) * (-5038.384) (-5048.182) [-5020.246] (-5013.798) -- 0:15:42
179000 -- (-5036.168) (-5040.676) (-5036.395) [-5022.204] * [-5032.836] (-5036.554) (-5022.931) (-5017.186) -- 0:15:40
180000 -- [-5022.038] (-5061.120) (-5050.561) (-5021.118) * (-5042.713) (-5047.234) [-5020.602] (-5027.778) -- 0:15:38
Average standard deviation of split frequencies: 0.018937
181000 -- (-5038.084) (-5065.786) (-5021.184) [-5028.608] * (-5033.067) [-5014.868] (-5050.663) (-5036.227) -- 0:15:36
182000 -- [-5031.556] (-5043.250) (-5037.860) (-5043.731) * [-5019.504] (-5032.942) (-5040.038) (-5032.376) -- 0:15:34
183000 -- [-5029.381] (-5040.058) (-5046.240) (-5028.693) * [-5029.044] (-5022.649) (-5024.742) (-5029.808) -- 0:15:33
184000 -- (-5029.035) (-5049.831) (-5026.890) [-5023.816] * (-5051.417) [-5033.349] (-5028.576) (-5032.712) -- 0:15:31
185000 -- (-5027.740) (-5036.306) (-5037.359) [-5023.109] * (-5044.419) (-5032.471) (-5030.897) [-5023.729] -- 0:15:29
Average standard deviation of split frequencies: 0.018806
186000 -- (-5044.409) (-5038.339) [-5037.748] (-5035.399) * (-5041.065) (-5031.001) (-5039.116) [-5024.205] -- 0:15:27
187000 -- [-5028.978] (-5042.936) (-5022.480) (-5033.926) * (-5033.326) (-5039.165) (-5044.589) [-5031.128] -- 0:15:26
188000 -- (-5039.838) [-5026.356] (-5037.324) (-5042.071) * (-5022.260) [-5028.973] (-5058.675) (-5023.453) -- 0:15:24
189000 -- (-5052.793) (-5039.469) (-5027.442) [-5019.749] * (-5035.102) (-5045.438) [-5030.515] (-5040.154) -- 0:15:22
190000 -- (-5039.515) (-5030.237) (-5021.433) [-5018.515] * [-5025.046] (-5058.789) (-5036.091) (-5037.957) -- 0:15:20
Average standard deviation of split frequencies: 0.019629
191000 -- (-5034.200) (-5022.597) [-5021.620] (-5022.925) * (-5039.217) [-5027.991] (-5045.998) (-5037.592) -- 0:15:19
192000 -- (-5046.387) [-5028.144] (-5022.485) (-5032.416) * [-5019.013] (-5041.390) (-5038.591) (-5038.999) -- 0:15:17
193000 -- (-5029.733) (-5041.802) [-5021.859] (-5043.471) * (-5019.125) [-5029.466] (-5037.256) (-5035.512) -- 0:15:15
194000 -- [-5028.450] (-5036.601) (-5048.505) (-5034.516) * (-5021.764) (-5030.992) [-5024.505] (-5041.442) -- 0:15:14
195000 -- (-5039.241) [-5035.038] (-5038.121) (-5032.345) * (-5030.431) [-5023.256] (-5035.124) (-5021.006) -- 0:15:12
Average standard deviation of split frequencies: 0.022448
196000 -- (-5033.179) [-5027.050] (-5014.608) (-5044.448) * (-5043.469) (-5030.482) (-5034.579) [-5026.659] -- 0:15:10
197000 -- (-5034.957) [-5044.052] (-5021.226) (-5053.156) * (-5028.904) (-5024.027) (-5038.814) [-5015.546] -- 0:15:13
198000 -- (-5025.274) (-5044.988) [-5021.026] (-5029.960) * [-5031.021] (-5032.757) (-5035.331) (-5023.465) -- 0:15:11
199000 -- (-5038.948) (-5036.716) (-5036.196) [-5024.785] * (-5025.951) [-5020.114] (-5037.381) (-5020.268) -- 0:15:09
200000 -- (-5037.821) (-5045.374) [-5013.585] (-5024.320) * (-5035.136) (-5032.211) (-5036.167) [-5024.291] -- 0:15:08
Average standard deviation of split frequencies: 0.023562
201000 -- (-5049.615) (-5041.531) [-5021.777] (-5037.771) * (-5039.574) (-5021.622) (-5035.904) [-5019.333] -- 0:15:06
202000 -- (-5045.507) (-5028.890) [-5027.327] (-5039.439) * (-5047.945) (-5038.363) (-5023.506) [-5027.383] -- 0:15:04
203000 -- [-5050.749] (-5030.121) (-5041.382) (-5028.598) * (-5028.885) [-5021.255] (-5034.344) (-5034.282) -- 0:15:03
204000 -- (-5041.323) (-5043.240) [-5033.516] (-5031.536) * (-5032.726) [-5018.855] (-5054.241) (-5045.157) -- 0:15:01
205000 -- (-5044.985) (-5037.749) [-5023.248] (-5039.699) * (-5027.131) [-5020.160] (-5035.994) (-5051.157) -- 0:14:59
Average standard deviation of split frequencies: 0.023050
206000 -- (-5037.344) (-5034.979) (-5040.392) [-5020.724] * [-5026.490] (-5033.864) (-5028.908) (-5040.366) -- 0:14:58
207000 -- (-5047.677) (-5049.305) (-5033.429) [-5016.273] * (-5042.978) (-5034.608) [-5019.497] (-5039.739) -- 0:14:56
208000 -- [-5020.509] (-5023.389) (-5030.432) (-5025.557) * [-5017.880] (-5045.600) (-5019.871) (-5042.339) -- 0:14:54
209000 -- (-5018.364) (-5036.650) [-5011.955] (-5025.447) * [-5023.697] (-5059.192) (-5032.190) (-5039.841) -- 0:14:53
210000 -- (-5029.385) (-5037.029) (-5033.551) [-5021.022] * (-5026.025) (-5034.044) [-5020.334] (-5049.446) -- 0:14:51
Average standard deviation of split frequencies: 0.024004
211000 -- (-5034.092) (-5035.738) (-5032.186) [-5020.429] * [-5026.852] (-5032.996) (-5020.741) (-5029.588) -- 0:14:49
212000 -- (-5041.413) (-5050.591) (-5048.368) [-5024.235] * (-5044.105) (-5030.954) (-5032.507) [-5014.970] -- 0:14:48
213000 -- (-5029.134) (-5032.102) (-5057.819) [-5029.952] * [-5032.701] (-5037.582) (-5032.308) (-5036.102) -- 0:14:46
214000 -- (-5023.798) (-5055.074) (-5035.970) [-5022.716] * [-5028.523] (-5040.093) (-5029.686) (-5037.276) -- 0:14:45
215000 -- (-5044.894) (-5049.391) [-5030.475] (-5036.229) * (-5056.599) [-5032.771] (-5026.414) (-5023.943) -- 0:14:43
Average standard deviation of split frequencies: 0.023874
216000 -- (-5040.647) (-5033.524) [-5019.850] (-5026.765) * (-5044.846) (-5041.409) (-5032.170) [-5021.643] -- 0:14:41
217000 -- (-5038.953) (-5053.133) [-5029.450] (-5046.731) * (-5035.105) (-5033.284) [-5011.228] (-5022.639) -- 0:14:40
218000 -- (-5027.139) (-5059.551) [-5030.492] (-5029.802) * (-5029.504) (-5046.592) (-5031.181) [-5037.137] -- 0:14:38
219000 -- (-5040.363) (-5055.425) [-5026.045] (-5027.252) * (-5019.946) (-5056.521) [-5019.773] (-5033.726) -- 0:14:37
220000 -- (-5031.557) (-5051.993) (-5036.888) [-5023.915] * (-5055.493) (-5047.494) [-5019.851] (-5027.714) -- 0:14:35
Average standard deviation of split frequencies: 0.023240
221000 -- (-5025.532) (-5052.058) (-5041.300) [-5017.458] * (-5024.880) [-5022.973] (-5045.386) (-5032.997) -- 0:14:34
222000 -- (-5019.043) (-5032.260) [-5028.683] (-5034.094) * (-5033.294) (-5032.583) (-5033.509) [-5019.516] -- 0:14:32
223000 -- [-5026.883] (-5031.393) (-5062.556) (-5044.951) * (-5038.498) [-5016.265] (-5036.664) (-5038.442) -- 0:14:31
224000 -- (-5032.446) (-5045.855) (-5025.036) [-5024.873] * (-5043.941) [-5031.986] (-5023.806) (-5027.310) -- 0:14:29
225000 -- (-5047.752) (-5055.091) (-5041.507) [-5021.703] * (-5037.889) [-5014.159] (-5030.676) (-5030.287) -- 0:14:27
Average standard deviation of split frequencies: 0.022228
226000 -- (-5021.522) (-5043.067) (-5057.301) [-5028.592] * (-5025.647) [-5015.781] (-5036.743) (-5017.178) -- 0:14:26
227000 -- [-5023.409] (-5038.456) (-5043.834) (-5043.685) * (-5028.684) [-5024.375] (-5039.471) (-5045.761) -- 0:14:24
228000 -- [-5012.871] (-5034.929) (-5041.097) (-5035.929) * (-5038.356) [-5020.921] (-5046.951) (-5030.572) -- 0:14:23
229000 -- [-5016.735] (-5035.218) (-5025.610) (-5038.946) * (-5017.895) [-5019.764] (-5032.041) (-5046.770) -- 0:14:21
230000 -- (-5027.315) (-5041.228) [-5022.906] (-5042.872) * [-5018.340] (-5035.142) (-5036.533) (-5046.310) -- 0:14:20
Average standard deviation of split frequencies: 0.021325
231000 -- (-5017.055) (-5035.679) (-5043.501) [-5024.940] * (-5032.581) (-5033.189) (-5032.000) [-5024.771] -- 0:14:18
232000 -- (-5028.156) (-5038.284) (-5042.874) [-5029.660] * (-5030.474) (-5027.260) (-5032.941) [-5020.280] -- 0:14:17
233000 -- [-5022.108] (-5042.824) (-5036.886) (-5032.358) * (-5032.087) (-5020.857) (-5028.012) [-5026.112] -- 0:14:15
234000 -- [-5032.978] (-5051.778) (-5037.346) (-5033.780) * (-5051.968) [-5014.513] (-5023.421) (-5041.431) -- 0:14:14
235000 -- (-5043.300) (-5030.390) (-5048.263) [-5019.878] * [-5032.354] (-5025.263) (-5032.435) (-5030.320) -- 0:14:12
Average standard deviation of split frequencies: 0.020883
236000 -- [-5019.358] (-5044.094) (-5036.163) (-5027.912) * (-5033.907) (-5022.349) [-5024.086] (-5030.656) -- 0:14:11
237000 -- (-5028.507) (-5035.203) [-5020.997] (-5030.579) * (-5035.653) (-5029.727) [-5033.905] (-5032.505) -- 0:14:09
238000 -- [-5029.108] (-5049.878) (-5037.845) (-5020.878) * [-5025.022] (-5036.743) (-5023.951) (-5046.075) -- 0:14:08
239000 -- [-5011.156] (-5048.209) (-5031.788) (-5040.672) * (-5043.276) [-5020.232] (-5030.102) (-5026.199) -- 0:14:06
240000 -- (-5031.942) (-5045.302) [-5028.477] (-5054.185) * (-5024.609) (-5029.074) (-5038.015) [-5018.457] -- 0:14:05
Average standard deviation of split frequencies: 0.021020
241000 -- [-5018.320] (-5026.695) (-5039.148) (-5056.305) * (-5028.400) (-5042.895) (-5053.212) [-5029.032] -- 0:14:04
242000 -- (-5031.167) (-5024.549) (-5046.319) [-5017.745] * (-5028.652) (-5040.540) [-5039.156] (-5042.203) -- 0:14:02
243000 -- [-5016.320] (-5030.083) (-5043.099) (-5032.980) * (-5049.018) (-5029.623) (-5037.745) [-5022.774] -- 0:14:01
244000 -- [-5018.431] (-5039.413) (-5034.249) (-5048.343) * (-5025.049) (-5026.232) (-5048.425) [-5019.392] -- 0:13:59
245000 -- (-5022.396) [-5020.882] (-5035.248) (-5054.912) * (-5025.757) (-5024.027) (-5026.948) [-5031.867] -- 0:13:58
Average standard deviation of split frequencies: 0.020621
246000 -- (-5037.665) (-5037.933) [-5016.953] (-5036.712) * (-5016.396) [-5020.510] (-5028.408) (-5034.983) -- 0:13:56
247000 -- (-5034.256) (-5042.379) [-5012.843] (-5020.903) * (-5028.017) (-5040.406) [-5033.466] (-5050.744) -- 0:13:55
248000 -- (-5039.763) (-5027.460) [-5022.144] (-5032.181) * [-5027.532] (-5038.367) (-5023.462) (-5044.625) -- 0:13:53
249000 -- (-5045.171) (-5029.507) (-5034.937) [-5025.144] * [-5022.966] (-5037.441) (-5031.214) (-5019.039) -- 0:13:52
250000 -- (-5033.570) [-5033.508] (-5034.970) (-5025.329) * (-5032.121) (-5037.045) [-5019.015] (-5024.828) -- 0:13:51
Average standard deviation of split frequencies: 0.020459
251000 -- [-5024.756] (-5024.655) (-5032.540) (-5022.979) * (-5030.455) (-5042.579) [-5033.971] (-5037.486) -- 0:13:49
252000 -- [-5031.633] (-5026.565) (-5034.560) (-5028.577) * (-5024.834) [-5028.099] (-5021.098) (-5043.312) -- 0:13:48
253000 -- (-5030.157) (-5022.594) [-5018.495] (-5031.475) * (-5040.769) (-5036.728) [-5019.360] (-5027.358) -- 0:13:46
254000 -- (-5028.567) (-5016.750) (-5062.547) [-5020.512] * (-5035.318) (-5042.396) (-5031.885) [-5026.710] -- 0:13:45
255000 -- (-5042.482) (-5030.430) [-5034.760] (-5029.447) * (-5050.913) (-5018.488) (-5030.620) [-5024.126] -- 0:13:43
Average standard deviation of split frequencies: 0.020118
256000 -- [-5018.995] (-5028.839) (-5031.925) (-5036.497) * (-5023.661) (-5035.620) [-5026.866] (-5034.383) -- 0:13:42
257000 -- (-5016.289) [-5024.086] (-5027.127) (-5035.112) * (-5040.227) (-5027.547) (-5029.430) [-5016.582] -- 0:13:41
258000 -- [-5022.357] (-5018.978) (-5026.484) (-5037.068) * (-5033.197) (-5030.420) [-5026.132] (-5031.387) -- 0:13:39
259000 -- (-5027.132) (-5012.657) (-5032.988) [-5030.989] * (-5013.344) (-5032.683) (-5010.407) [-5027.067] -- 0:13:38
260000 -- (-5026.172) [-5016.962] (-5025.086) (-5024.040) * (-5022.953) (-5042.322) [-5038.050] (-5023.508) -- 0:13:36
Average standard deviation of split frequencies: 0.019263
261000 -- (-5035.732) (-5037.672) (-5037.396) [-5026.754] * (-5033.668) (-5033.235) (-5022.900) [-5020.538] -- 0:13:35
262000 -- (-5049.002) (-5032.445) [-5032.728] (-5027.805) * [-5018.297] (-5039.482) (-5027.673) (-5031.660) -- 0:13:34
263000 -- (-5037.662) (-5038.990) [-5026.279] (-5031.044) * [-5024.646] (-5044.046) (-5020.835) (-5026.195) -- 0:13:32
264000 -- [-5023.066] (-5045.104) (-5024.139) (-5021.858) * (-5018.813) (-5034.121) (-5023.456) [-5032.152] -- 0:13:34
265000 -- (-5024.688) (-5042.842) [-5024.522] (-5032.852) * [-5019.221] (-5044.810) (-5035.930) (-5020.752) -- 0:13:32
Average standard deviation of split frequencies: 0.019256
266000 -- (-5026.215) (-5033.481) (-5024.663) [-5025.630] * (-5026.233) (-5024.144) (-5031.005) [-5020.209] -- 0:13:31
267000 -- (-5020.165) (-5054.111) (-5031.922) [-5021.537] * (-5030.947) (-5041.466) [-5014.829] (-5033.106) -- 0:13:29
268000 -- [-5021.778] (-5042.678) (-5032.727) (-5017.695) * (-5039.989) (-5048.953) (-5021.747) [-5020.602] -- 0:13:28
269000 -- (-5033.006) (-5040.228) [-5018.430] (-5032.388) * [-5031.844] (-5041.284) (-5030.404) (-5018.113) -- 0:13:27
270000 -- (-5044.158) [-5028.174] (-5017.283) (-5039.291) * (-5034.785) [-5020.004] (-5028.657) (-5044.548) -- 0:13:25
Average standard deviation of split frequencies: 0.018815
271000 -- (-5033.653) [-5024.655] (-5038.706) (-5032.908) * [-5037.707] (-5048.347) (-5017.979) (-5036.101) -- 0:13:24
272000 -- (-5029.369) (-5032.951) [-5036.585] (-5021.708) * [-5015.379] (-5038.203) (-5016.808) (-5022.651) -- 0:13:22
273000 -- (-5038.497) (-5035.948) [-5015.693] (-5036.351) * (-5026.920) (-5032.049) [-5017.988] (-5028.717) -- 0:13:21
274000 -- (-5025.373) [-5024.266] (-5030.510) (-5044.889) * (-5036.638) (-5020.590) [-5011.862] (-5026.217) -- 0:13:20
275000 -- (-5053.411) [-5019.672] (-5030.132) (-5033.779) * (-5022.346) (-5019.823) [-5012.704] (-5036.700) -- 0:13:18
Average standard deviation of split frequencies: 0.018037
276000 -- [-5023.471] (-5049.019) (-5037.950) (-5047.387) * (-5039.098) [-5024.613] (-5024.656) (-5040.209) -- 0:13:17
277000 -- [-5029.865] (-5042.398) (-5037.514) (-5038.535) * (-5038.942) (-5034.359) [-5019.521] (-5043.639) -- 0:13:16
278000 -- (-5039.333) (-5030.320) (-5038.638) [-5033.642] * (-5030.082) [-5015.619] (-5027.076) (-5030.083) -- 0:13:14
279000 -- (-5030.923) (-5028.639) (-5037.831) [-5028.096] * (-5039.878) [-5015.687] (-5040.997) (-5038.130) -- 0:13:13
280000 -- (-5040.468) (-5049.836) [-5011.528] (-5032.255) * (-5030.782) [-5021.152] (-5026.859) (-5022.392) -- 0:13:12
Average standard deviation of split frequencies: 0.017855
281000 -- [-5031.405] (-5031.111) (-5036.546) (-5042.847) * (-5044.008) (-5044.811) (-5022.495) [-5024.902] -- 0:13:10
282000 -- [-5031.561] (-5032.903) (-5042.469) (-5028.498) * [-5039.891] (-5045.476) (-5022.515) (-5043.893) -- 0:13:09
283000 -- [-5022.205] (-5026.656) (-5035.830) (-5044.399) * [-5033.902] (-5039.835) (-5030.148) (-5035.645) -- 0:13:07
284000 -- (-5019.492) [-5019.737] (-5034.273) (-5026.305) * [-5021.872] (-5033.880) (-5040.746) (-5036.359) -- 0:13:06
285000 -- (-5027.923) (-5030.609) (-5046.770) [-5016.663] * [-5031.782] (-5030.223) (-5041.553) (-5061.420) -- 0:13:05
Average standard deviation of split frequencies: 0.017432
286000 -- [-5037.015] (-5031.825) (-5022.888) (-5043.851) * (-5024.775) (-5034.578) [-5023.253] (-5066.126) -- 0:13:03
287000 -- (-5027.945) [-5031.520] (-5026.636) (-5042.858) * (-5032.638) (-5030.761) [-5019.440] (-5047.882) -- 0:13:02
288000 -- [-5029.666] (-5061.029) (-5028.765) (-5040.253) * [-5027.944] (-5019.743) (-5036.504) (-5054.462) -- 0:13:01
289000 -- (-5025.576) [-5031.053] (-5032.824) (-5044.525) * (-5043.414) (-5030.494) [-5029.473] (-5063.679) -- 0:12:59
290000 -- (-5029.583) (-5047.848) [-5016.887] (-5057.126) * (-5024.816) [-5024.506] (-5055.634) (-5043.961) -- 0:12:58
Average standard deviation of split frequencies: 0.016393
291000 -- (-5024.969) (-5042.654) [-5021.619] (-5042.264) * [-5023.775] (-5029.500) (-5025.698) (-5020.845) -- 0:12:57
292000 -- (-5032.163) (-5025.145) [-5024.754] (-5031.658) * [-5020.649] (-5054.551) (-5033.301) (-5034.370) -- 0:12:55
293000 -- (-5024.152) [-5015.617] (-5023.876) (-5035.078) * [-5012.093] (-5036.031) (-5021.551) (-5048.782) -- 0:12:54
294000 -- (-5036.193) (-5023.901) [-5022.288] (-5046.268) * (-5039.312) (-5023.767) [-5022.877] (-5056.613) -- 0:12:53
295000 -- (-5058.396) (-5041.353) [-5023.189] (-5030.881) * (-5039.752) [-5023.722] (-5026.827) (-5035.249) -- 0:12:51
Average standard deviation of split frequencies: 0.016661
296000 -- (-5035.121) [-5029.955] (-5033.651) (-5043.409) * (-5042.645) [-5020.397] (-5025.685) (-5020.743) -- 0:12:50
297000 -- (-5041.770) (-5033.849) [-5026.113] (-5032.902) * (-5030.603) (-5030.065) [-5018.927] (-5029.654) -- 0:12:49
298000 -- (-5034.768) [-5015.347] (-5032.333) (-5040.358) * (-5035.082) [-5017.245] (-5020.464) (-5022.128) -- 0:12:47
299000 -- (-5030.534) (-5023.001) [-5025.193] (-5051.148) * (-5020.998) [-5017.429] (-5035.565) (-5048.237) -- 0:12:46
300000 -- (-5017.902) (-5023.987) [-5014.040] (-5037.154) * (-5036.542) (-5022.116) [-5015.376] (-5032.372) -- 0:12:45
Average standard deviation of split frequencies: 0.016933
301000 -- (-5032.069) [-5021.958] (-5049.491) (-5050.211) * [-5025.744] (-5035.010) (-5044.562) (-5031.158) -- 0:12:44
302000 -- [-5030.146] (-5029.498) (-5021.434) (-5045.397) * (-5032.471) (-5032.609) (-5041.774) [-5034.526] -- 0:12:42
303000 -- (-5034.673) (-5039.376) [-5023.944] (-5028.906) * (-5022.371) (-5031.578) (-5034.394) [-5022.427] -- 0:12:41
304000 -- (-5046.411) (-5036.150) (-5027.958) [-5026.413] * (-5027.285) [-5035.429] (-5043.626) (-5035.859) -- 0:12:40
305000 -- (-5036.492) (-5041.144) [-5036.488] (-5032.718) * (-5033.542) (-5043.367) (-5039.199) [-5022.997] -- 0:12:38
Average standard deviation of split frequencies: 0.016783
306000 -- (-5041.412) (-5024.933) [-5032.704] (-5032.284) * (-5032.060) (-5041.072) (-5037.080) [-5021.543] -- 0:12:37
307000 -- [-5033.313] (-5020.900) (-5038.301) (-5033.472) * [-5032.597] (-5059.319) (-5032.914) (-5032.516) -- 0:12:36
308000 -- [-5033.874] (-5033.418) (-5041.135) (-5024.492) * (-5050.731) (-5029.128) (-5030.128) [-5020.535] -- 0:12:34
309000 -- (-5038.882) (-5029.763) (-5043.489) [-5023.815] * (-5043.158) (-5033.995) [-5026.865] (-5024.638) -- 0:12:33
310000 -- (-5029.302) (-5043.509) (-5035.727) [-5028.840] * [-5025.451] (-5040.434) (-5028.479) (-5020.822) -- 0:12:32
Average standard deviation of split frequencies: 0.017151
311000 -- [-5028.280] (-5038.788) (-5026.051) (-5046.474) * (-5024.906) (-5030.971) (-5042.593) [-5020.604] -- 0:12:31
312000 -- (-5047.064) [-5031.721] (-5022.700) (-5020.278) * (-5046.768) (-5029.678) [-5024.189] (-5028.849) -- 0:12:29
313000 -- (-5032.934) [-5022.972] (-5020.676) (-5029.206) * (-5028.085) [-5029.681] (-5035.622) (-5028.643) -- 0:12:28
314000 -- [-5036.629] (-5050.125) (-5039.613) (-5041.266) * [-5018.726] (-5034.764) (-5035.461) (-5032.789) -- 0:12:27
315000 -- (-5029.423) (-5032.832) (-5040.136) [-5024.395] * (-5027.962) (-5031.992) (-5039.385) [-5024.753] -- 0:12:25
Average standard deviation of split frequencies: 0.016545
316000 -- [-5029.800] (-5036.261) (-5034.058) (-5041.136) * (-5031.973) (-5055.124) (-5036.677) [-5030.757] -- 0:12:24
317000 -- (-5037.150) (-5059.678) [-5022.951] (-5047.815) * (-5050.226) (-5031.656) (-5035.080) [-5020.322] -- 0:12:23
318000 -- (-5041.973) (-5041.925) (-5027.237) [-5038.037] * (-5033.022) (-5041.972) [-5028.334] (-5038.731) -- 0:12:22
319000 -- (-5055.206) [-5028.573] (-5040.065) (-5048.251) * (-5022.445) (-5042.309) [-5024.606] (-5056.385) -- 0:12:20
320000 -- (-5023.029) [-5016.408] (-5021.955) (-5044.590) * (-5032.489) (-5022.086) [-5024.201] (-5058.630) -- 0:12:19
Average standard deviation of split frequencies: 0.016940
321000 -- [-5018.749] (-5035.738) (-5029.206) (-5054.730) * [-5026.693] (-5033.929) (-5023.695) (-5031.629) -- 0:12:18
322000 -- (-5032.883) (-5038.433) [-5042.312] (-5057.428) * (-5023.486) [-5018.959] (-5023.117) (-5037.736) -- 0:12:16
323000 -- (-5029.065) (-5027.049) (-5043.353) [-5032.185] * (-5035.334) [-5027.590] (-5033.569) (-5029.374) -- 0:12:15
324000 -- (-5039.595) [-5025.478] (-5023.201) (-5038.564) * (-5022.499) [-5024.653] (-5040.723) (-5044.725) -- 0:12:14
325000 -- (-5036.521) [-5012.578] (-5034.672) (-5032.632) * (-5029.844) [-5031.117] (-5042.749) (-5033.019) -- 0:12:13
Average standard deviation of split frequencies: 0.016618
326000 -- [-5022.067] (-5034.529) (-5039.462) (-5028.867) * (-5022.217) [-5028.224] (-5043.065) (-5042.854) -- 0:12:11
327000 -- [-5021.907] (-5053.401) (-5028.408) (-5036.239) * (-5026.050) (-5023.357) (-5046.104) [-5043.845] -- 0:12:10
328000 -- [-5023.712] (-5028.298) (-5031.347) (-5038.509) * (-5050.620) [-5027.225] (-5040.856) (-5041.983) -- 0:12:09
329000 -- (-5035.323) [-5016.676] (-5037.093) (-5029.934) * (-5045.186) (-5022.661) (-5036.370) [-5010.286] -- 0:12:08
330000 -- (-5039.546) (-5021.852) [-5026.264] (-5045.598) * (-5037.478) (-5027.728) (-5030.471) [-5034.034] -- 0:12:06
Average standard deviation of split frequencies: 0.016625
331000 -- (-5054.690) (-5051.011) [-5023.860] (-5020.807) * (-5021.600) (-5042.840) (-5016.650) [-5034.993] -- 0:12:05
332000 -- [-5030.257] (-5031.997) (-5022.726) (-5035.521) * (-5010.751) (-5032.734) (-5020.653) [-5017.057] -- 0:12:04
333000 -- (-5037.172) (-5031.006) [-5021.650] (-5032.542) * (-5031.294) [-5024.359] (-5026.728) (-5050.556) -- 0:12:03
334000 -- [-5022.014] (-5037.166) (-5041.658) (-5021.652) * (-5047.468) [-5023.751] (-5048.806) (-5032.600) -- 0:12:01
335000 -- (-5029.591) (-5044.991) (-5022.885) [-5026.183] * [-5026.686] (-5022.873) (-5032.268) (-5033.076) -- 0:12:00
Average standard deviation of split frequencies: 0.016577
336000 -- [-5016.908] (-5041.892) (-5025.182) (-5032.041) * (-5060.847) (-5022.542) (-5034.589) [-5029.903] -- 0:11:59
337000 -- (-5042.003) (-5046.118) (-5034.560) [-5024.861] * (-5043.867) [-5025.507] (-5043.777) (-5040.291) -- 0:11:58
338000 -- (-5025.834) (-5037.702) [-5027.530] (-5031.941) * (-5030.623) [-5020.887] (-5032.229) (-5042.464) -- 0:11:56
339000 -- (-5019.149) (-5061.125) [-5021.353] (-5020.857) * (-5023.409) [-5019.078] (-5028.179) (-5046.581) -- 0:11:55
340000 -- [-5018.662] (-5029.719) (-5039.093) (-5029.345) * (-5045.998) (-5032.463) [-5023.841] (-5051.339) -- 0:11:54
Average standard deviation of split frequencies: 0.016286
341000 -- (-5034.855) (-5031.246) [-5026.578] (-5039.667) * (-5037.199) (-5042.247) [-5024.000] (-5024.439) -- 0:11:53
342000 -- (-5047.152) (-5033.871) [-5027.773] (-5038.314) * (-5037.246) (-5058.915) [-5026.323] (-5029.876) -- 0:11:51
343000 -- [-5026.375] (-5048.088) (-5026.173) (-5020.670) * [-5029.617] (-5030.164) (-5024.091) (-5032.206) -- 0:11:50
344000 -- [-5021.884] (-5046.649) (-5044.161) (-5014.988) * (-5032.508) (-5043.713) [-5020.617] (-5032.616) -- 0:11:49
345000 -- [-5023.753] (-5023.272) (-5033.027) (-5034.565) * [-5018.497] (-5022.355) (-5041.712) (-5028.274) -- 0:11:48
Average standard deviation of split frequencies: 0.016161
346000 -- (-5028.748) (-5024.352) [-5023.409] (-5049.034) * (-5021.717) [-5016.628] (-5036.182) (-5026.042) -- 0:11:46
347000 -- (-5027.833) (-5038.366) [-5034.397] (-5034.672) * (-5023.358) [-5034.738] (-5041.491) (-5033.785) -- 0:11:45
348000 -- [-5028.664] (-5024.567) (-5023.145) (-5038.794) * (-5039.470) [-5034.200] (-5040.972) (-5025.531) -- 0:11:44
349000 -- (-5020.934) (-5029.040) [-5027.348] (-5025.378) * [-5021.788] (-5032.263) (-5044.812) (-5030.910) -- 0:11:45
350000 -- (-5037.707) (-5035.743) [-5021.567] (-5027.589) * (-5031.022) (-5030.930) (-5048.141) [-5020.252] -- 0:11:43
Average standard deviation of split frequencies: 0.015966
351000 -- [-5035.907] (-5040.758) (-5037.938) (-5030.824) * (-5038.527) (-5050.811) (-5028.058) [-5026.990] -- 0:11:44
352000 -- (-5024.992) [-5018.492] (-5048.875) (-5040.676) * (-5041.505) (-5049.552) (-5035.250) [-5022.360] -- 0:11:43
353000 -- [-5031.878] (-5033.618) (-5029.004) (-5045.983) * [-5031.297] (-5045.486) (-5026.415) (-5024.174) -- 0:11:43
354000 -- (-5034.124) (-5048.164) (-5035.367) [-5023.139] * [-5029.942] (-5037.136) (-5034.087) (-5034.307) -- 0:11:42
355000 -- (-5043.379) (-5027.897) (-5027.327) [-5020.883] * (-5051.735) [-5020.642] (-5017.108) (-5048.103) -- 0:11:43
Average standard deviation of split frequencies: 0.014994
356000 -- (-5051.612) [-5036.861] (-5037.539) (-5035.446) * (-5033.866) (-5027.509) (-5023.616) [-5036.496] -- 0:11:41
357000 -- (-5032.671) (-5042.342) (-5029.694) [-5017.839] * (-5042.911) [-5034.987] (-5030.685) (-5051.716) -- 0:11:42
358000 -- [-5028.033] (-5025.520) (-5046.526) (-5017.869) * (-5048.615) (-5037.076) [-5023.614] (-5041.776) -- 0:11:41
359000 -- [-5026.888] (-5047.695) (-5041.654) (-5032.600) * (-5039.383) [-5022.524] (-5029.600) (-5028.828) -- 0:11:39
360000 -- [-5018.547] (-5050.129) (-5025.474) (-5033.957) * (-5044.734) [-5027.377] (-5029.102) (-5035.324) -- 0:11:38
Average standard deviation of split frequencies: 0.014317
361000 -- [-5019.277] (-5057.788) (-5030.372) (-5030.632) * (-5037.950) [-5020.538] (-5051.127) (-5042.634) -- 0:11:37
362000 -- [-5021.717] (-5052.834) (-5033.302) (-5032.300) * (-5029.990) (-5045.505) (-5021.662) [-5033.940] -- 0:11:36
363000 -- (-5018.607) (-5041.532) (-5042.818) [-5029.323] * (-5043.033) (-5026.497) (-5027.028) [-5019.434] -- 0:11:34
364000 -- (-5028.789) [-5035.312] (-5029.610) (-5038.264) * (-5031.298) (-5044.100) (-5038.369) [-5021.808] -- 0:11:33
365000 -- [-5010.772] (-5029.267) (-5031.832) (-5035.497) * (-5027.758) (-5033.823) (-5046.710) [-5023.675] -- 0:11:32
Average standard deviation of split frequencies: 0.014226
366000 -- (-5017.869) (-5038.064) (-5048.731) [-5037.217] * (-5036.199) [-5015.930] (-5037.585) (-5030.563) -- 0:11:31
367000 -- [-5025.785] (-5031.083) (-5028.293) (-5035.782) * (-5040.983) [-5030.688] (-5032.208) (-5034.492) -- 0:11:29
368000 -- (-5028.508) (-5034.189) [-5035.017] (-5045.339) * (-5030.060) [-5020.949] (-5048.132) (-5037.867) -- 0:11:28
369000 -- (-5035.300) [-5024.309] (-5031.289) (-5032.539) * (-5037.411) [-5031.930] (-5029.563) (-5031.205) -- 0:11:27
370000 -- (-5038.175) (-5019.744) [-5027.711] (-5036.659) * (-5040.168) [-5026.334] (-5034.408) (-5032.760) -- 0:11:26
Average standard deviation of split frequencies: 0.014279
371000 -- (-5031.039) (-5022.797) (-5035.146) [-5025.242] * [-5026.463] (-5030.069) (-5045.640) (-5036.315) -- 0:11:24
372000 -- (-5030.121) (-5030.505) [-5024.537] (-5070.329) * (-5030.358) (-5017.635) (-5066.833) [-5026.964] -- 0:11:23
373000 -- (-5046.569) [-5018.776] (-5031.502) (-5042.463) * [-5032.984] (-5019.391) (-5043.908) (-5037.544) -- 0:11:22
374000 -- (-5048.320) [-5027.490] (-5031.492) (-5043.566) * (-5029.968) [-5017.780] (-5033.126) (-5040.075) -- 0:11:21
375000 -- (-5028.031) (-5037.214) [-5033.361] (-5029.649) * [-5031.536] (-5033.290) (-5047.028) (-5037.767) -- 0:11:20
Average standard deviation of split frequencies: 0.014019
376000 -- (-5026.508) (-5034.258) (-5028.087) [-5017.912] * (-5040.406) [-5010.877] (-5059.468) (-5020.437) -- 0:11:18
377000 -- (-5028.351) (-5031.065) [-5019.345] (-5028.596) * (-5034.071) (-5028.971) (-5030.511) [-5018.209] -- 0:11:17
378000 -- (-5042.722) (-5037.257) [-5028.213] (-5032.990) * (-5026.017) [-5031.810] (-5036.319) (-5022.349) -- 0:11:16
379000 -- (-5033.806) (-5026.608) [-5019.029] (-5042.748) * (-5039.633) [-5014.978] (-5041.185) (-5020.254) -- 0:11:15
380000 -- (-5041.227) [-5028.422] (-5019.770) (-5042.658) * (-5027.621) (-5016.561) (-5032.295) [-5023.900] -- 0:11:13
Average standard deviation of split frequencies: 0.013862
381000 -- [-5026.052] (-5040.136) (-5031.108) (-5026.230) * [-5027.575] (-5047.589) (-5034.983) (-5022.309) -- 0:11:12
382000 -- (-5026.352) (-5023.058) (-5044.821) [-5011.811] * (-5023.790) [-5028.331] (-5031.776) (-5037.037) -- 0:11:11
383000 -- (-5036.739) (-5017.863) (-5043.956) [-5014.823] * [-5022.138] (-5039.260) (-5040.596) (-5030.795) -- 0:11:10
384000 -- (-5026.579) [-5025.694] (-5044.577) (-5032.966) * (-5033.918) (-5024.332) (-5046.897) [-5018.212] -- 0:11:08
385000 -- [-5018.113] (-5016.603) (-5037.944) (-5033.688) * (-5036.851) [-5025.466] (-5042.860) (-5039.933) -- 0:11:07
Average standard deviation of split frequencies: 0.013689
386000 -- [-5029.209] (-5035.832) (-5045.545) (-5024.229) * [-5024.293] (-5024.632) (-5030.667) (-5035.042) -- 0:11:06
387000 -- (-5029.826) [-5036.237] (-5025.442) (-5043.792) * (-5043.159) (-5051.737) (-5033.749) [-5025.355] -- 0:11:05
388000 -- (-5048.002) (-5035.364) [-5027.707] (-5053.518) * (-5042.695) (-5044.318) [-5027.752] (-5025.119) -- 0:11:04
389000 -- [-5019.631] (-5036.358) (-5028.201) (-5027.097) * (-5028.208) (-5054.104) (-5023.070) [-5016.390] -- 0:11:02
390000 -- (-5038.210) [-5026.459] (-5032.590) (-5015.368) * (-5037.527) [-5032.566] (-5040.672) (-5030.539) -- 0:11:01
Average standard deviation of split frequencies: 0.013850
391000 -- (-5025.814) (-5057.917) (-5034.982) [-5020.131] * (-5038.624) [-5018.133] (-5030.572) (-5049.829) -- 0:11:00
392000 -- (-5033.771) (-5027.576) (-5043.560) [-5016.676] * (-5044.405) (-5031.442) [-5030.325] (-5039.371) -- 0:10:59
393000 -- (-5024.810) (-5024.491) (-5031.475) [-5036.093] * (-5038.738) (-5026.708) (-5034.315) [-5018.709] -- 0:10:57
394000 -- [-5013.674] (-5037.218) (-5021.431) (-5029.144) * (-5028.013) (-5018.413) [-5013.277] (-5022.927) -- 0:10:56
395000 -- [-5016.359] (-5036.499) (-5028.089) (-5027.480) * (-5046.187) (-5036.894) [-5009.741] (-5027.657) -- 0:10:55
Average standard deviation of split frequencies: 0.013239
396000 -- (-5028.675) (-5023.220) [-5037.180] (-5034.067) * (-5050.359) (-5034.936) [-5021.392] (-5022.603) -- 0:10:54
397000 -- [-5024.461] (-5027.253) (-5036.817) (-5034.644) * [-5031.711] (-5037.244) (-5043.026) (-5030.101) -- 0:10:53
398000 -- (-5026.221) [-5033.959] (-5032.762) (-5053.344) * (-5046.520) (-5054.851) (-5024.133) [-5023.017] -- 0:10:51
399000 -- [-5020.159] (-5026.736) (-5034.124) (-5027.363) * (-5040.673) (-5049.644) [-5031.658] (-5028.103) -- 0:10:50
400000 -- [-5018.688] (-5028.686) (-5043.982) (-5021.524) * (-5039.830) (-5034.033) (-5043.720) [-5023.744] -- 0:10:49
Average standard deviation of split frequencies: 0.013263
401000 -- [-5014.455] (-5048.576) (-5035.233) (-5033.068) * (-5027.490) (-5040.480) (-5046.069) [-5023.013] -- 0:10:48
402000 -- (-5020.188) [-5035.487] (-5025.461) (-5026.085) * (-5028.156) (-5035.237) (-5044.261) [-5018.097] -- 0:10:47
403000 -- [-5030.428] (-5044.794) (-5021.601) (-5040.110) * [-5021.123] (-5047.811) (-5042.588) (-5041.668) -- 0:10:45
404000 -- (-5032.223) (-5042.324) (-5021.589) [-5033.630] * [-5024.016] (-5013.783) (-5032.103) (-5030.733) -- 0:10:44
405000 -- [-5026.382] (-5031.708) (-5044.809) (-5041.907) * (-5048.836) [-5021.401] (-5039.648) (-5027.658) -- 0:10:43
Average standard deviation of split frequencies: 0.013552
406000 -- (-5028.072) [-5025.302] (-5027.790) (-5026.977) * (-5040.343) [-5018.725] (-5028.235) (-5031.799) -- 0:10:42
407000 -- (-5028.924) [-5025.700] (-5028.236) (-5037.268) * [-5026.500] (-5034.383) (-5040.332) (-5057.746) -- 0:10:41
408000 -- (-5022.591) [-5018.306] (-5023.053) (-5054.622) * [-5018.317] (-5023.308) (-5037.452) (-5031.934) -- 0:10:39
409000 -- [-5015.865] (-5038.884) (-5028.981) (-5045.437) * [-5018.450] (-5021.064) (-5053.354) (-5047.387) -- 0:10:38
410000 -- (-5024.530) (-5037.763) [-5013.101] (-5040.179) * (-5023.826) [-5019.401] (-5059.469) (-5039.839) -- 0:10:37
Average standard deviation of split frequencies: 0.013741
411000 -- (-5041.882) (-5023.754) [-5021.621] (-5035.868) * (-5024.438) (-5028.065) (-5029.467) [-5015.785] -- 0:10:36
412000 -- [-5027.038] (-5039.178) (-5036.339) (-5036.834) * (-5023.306) [-5015.397] (-5036.037) (-5029.338) -- 0:10:35
413000 -- (-5017.237) (-5027.335) [-5022.245] (-5033.800) * [-5026.599] (-5034.753) (-5048.352) (-5031.676) -- 0:10:33
414000 -- (-5020.883) (-5032.294) [-5013.864] (-5043.557) * (-5021.150) (-5030.829) (-5019.593) [-5018.922] -- 0:10:32
415000 -- [-5021.081] (-5031.863) (-5034.385) (-5045.737) * (-5042.582) (-5036.214) (-5024.571) [-5013.839] -- 0:10:31
Average standard deviation of split frequencies: 0.013547
416000 -- (-5039.715) (-5043.342) [-5022.173] (-5036.956) * (-5034.768) (-5028.641) [-5025.546] (-5027.130) -- 0:10:30
417000 -- [-5025.427] (-5043.413) (-5040.811) (-5029.389) * [-5032.912] (-5029.015) (-5038.415) (-5027.011) -- 0:10:29
418000 -- (-5048.805) (-5035.675) [-5024.388] (-5040.015) * (-5027.866) [-5021.284] (-5050.138) (-5039.256) -- 0:10:27
419000 -- [-5014.468] (-5047.509) (-5026.313) (-5058.515) * [-5026.309] (-5035.753) (-5031.717) (-5012.607) -- 0:10:26
420000 -- (-5024.843) [-5021.492] (-5032.497) (-5043.846) * (-5045.967) [-5031.156] (-5038.907) (-5048.569) -- 0:10:25
Average standard deviation of split frequencies: 0.013515
421000 -- [-5022.539] (-5027.214) (-5027.589) (-5039.333) * (-5039.733) [-5024.419] (-5039.885) (-5042.865) -- 0:10:24
422000 -- (-5021.770) [-5020.488] (-5033.308) (-5020.398) * (-5034.949) [-5019.480] (-5047.207) (-5039.093) -- 0:10:23
423000 -- (-5029.436) (-5017.219) [-5018.562] (-5035.885) * [-5022.645] (-5030.765) (-5029.248) (-5031.424) -- 0:10:22
424000 -- (-5035.575) [-5034.748] (-5031.295) (-5035.853) * (-5033.053) (-5031.928) [-5015.648] (-5034.662) -- 0:10:20
425000 -- (-5045.094) (-5039.668) [-5026.241] (-5053.732) * (-5022.934) [-5015.429] (-5030.715) (-5039.762) -- 0:10:19
Average standard deviation of split frequencies: 0.013362
426000 -- (-5034.973) [-5023.894] (-5027.232) (-5051.900) * [-5032.336] (-5014.941) (-5035.216) (-5052.329) -- 0:10:18
427000 -- [-5034.706] (-5024.438) (-5047.094) (-5042.917) * (-5027.061) [-5022.382] (-5033.028) (-5038.574) -- 0:10:17
428000 -- (-5032.172) [-5018.638] (-5054.510) (-5050.668) * [-5017.600] (-5036.222) (-5021.818) (-5047.713) -- 0:10:16
429000 -- (-5034.630) [-5012.034] (-5037.516) (-5038.750) * (-5038.639) (-5021.798) [-5017.092] (-5026.074) -- 0:10:14
430000 -- [-5032.667] (-5029.827) (-5036.749) (-5033.461) * [-5014.088] (-5038.279) (-5021.829) (-5021.922) -- 0:10:13
Average standard deviation of split frequencies: 0.013200
431000 -- (-5031.390) [-5027.124] (-5034.596) (-5038.895) * (-5023.029) (-5022.818) (-5041.593) [-5019.475] -- 0:10:12
432000 -- (-5044.912) (-5039.905) (-5022.874) [-5023.171] * (-5027.285) [-5017.972] (-5046.340) (-5024.437) -- 0:10:12
433000 -- (-5035.704) [-5023.548] (-5055.383) (-5026.459) * (-5051.940) (-5027.583) [-5031.613] (-5026.815) -- 0:10:11
434000 -- [-5030.599] (-5016.386) (-5057.774) (-5042.280) * (-5043.731) (-5029.861) (-5040.393) [-5022.482] -- 0:10:10
435000 -- [-5026.114] (-5033.547) (-5032.198) (-5037.238) * (-5034.422) (-5042.356) (-5034.264) [-5021.220] -- 0:10:09
Average standard deviation of split frequencies: 0.012909
436000 -- (-5028.700) [-5021.251] (-5028.918) (-5030.030) * (-5036.517) (-5032.013) [-5014.226] (-5020.825) -- 0:10:07
437000 -- (-5039.554) (-5034.456) [-5028.265] (-5029.874) * (-5033.969) (-5049.672) [-5024.651] (-5031.595) -- 0:10:06
438000 -- [-5024.293] (-5023.447) (-5039.002) (-5031.689) * (-5052.057) (-5025.449) [-5026.830] (-5037.937) -- 0:10:05
439000 -- [-5019.117] (-5025.889) (-5027.835) (-5038.022) * (-5030.613) (-5027.389) [-5025.096] (-5037.815) -- 0:10:04
440000 -- (-5027.108) (-5038.322) [-5019.502] (-5047.259) * (-5040.107) [-5021.215] (-5032.914) (-5023.706) -- 0:10:03
Average standard deviation of split frequencies: 0.012918
441000 -- (-5039.634) (-5024.772) [-5024.222] (-5038.243) * (-5034.433) (-5043.620) (-5030.684) [-5025.262] -- 0:10:02
442000 -- (-5038.773) (-5037.737) [-5026.263] (-5033.823) * (-5035.328) [-5015.170] (-5021.436) (-5053.500) -- 0:10:00
443000 -- (-5037.908) (-5019.655) (-5032.978) [-5039.311] * (-5028.389) (-5028.139) [-5038.383] (-5058.763) -- 0:09:59
444000 -- (-5022.217) [-5021.385] (-5047.619) (-5045.928) * [-5020.671] (-5027.126) (-5019.611) (-5043.850) -- 0:09:58
445000 -- [-5033.650] (-5033.832) (-5046.137) (-5032.933) * (-5036.082) (-5021.812) [-5022.117] (-5041.924) -- 0:09:57
Average standard deviation of split frequencies: 0.012972
446000 -- (-5042.539) [-5031.004] (-5044.367) (-5021.970) * [-5030.247] (-5023.438) (-5038.138) (-5049.565) -- 0:09:56
447000 -- (-5027.408) [-5017.548] (-5032.707) (-5040.975) * [-5022.760] (-5024.359) (-5044.266) (-5031.362) -- 0:09:55
448000 -- (-5034.958) [-5029.782] (-5031.018) (-5034.523) * [-5018.738] (-5039.685) (-5056.405) (-5035.718) -- 0:09:53
449000 -- [-5030.430] (-5023.447) (-5025.051) (-5039.721) * (-5033.882) (-5036.947) (-5048.280) [-5030.194] -- 0:09:52
450000 -- (-5029.893) [-5022.071] (-5024.868) (-5043.198) * [-5028.609] (-5025.079) (-5035.330) (-5025.265) -- 0:09:51
Average standard deviation of split frequencies: 0.013107
451000 -- (-5043.629) (-5037.054) (-5020.231) [-5021.994] * [-5018.582] (-5029.982) (-5034.337) (-5021.546) -- 0:09:50
452000 -- (-5023.454) (-5023.129) [-5037.383] (-5051.832) * (-5044.275) (-5041.438) [-5033.097] (-5028.166) -- 0:09:49
453000 -- (-5028.041) (-5030.077) [-5017.860] (-5051.140) * (-5032.645) (-5021.972) (-5020.301) [-5018.471] -- 0:09:48
454000 -- [-5019.115] (-5029.748) (-5035.780) (-5045.439) * (-5038.375) (-5031.481) (-5047.109) [-5029.539] -- 0:09:46
455000 -- [-5022.471] (-5031.783) (-5031.827) (-5045.563) * (-5030.794) (-5038.869) (-5053.033) [-5021.840] -- 0:09:45
Average standard deviation of split frequencies: 0.012867
456000 -- (-5031.660) [-5024.135] (-5019.766) (-5047.414) * (-5026.688) [-5031.543] (-5068.884) (-5013.740) -- 0:09:44
457000 -- (-5020.611) [-5035.319] (-5037.298) (-5031.384) * (-5024.519) (-5027.434) (-5044.087) [-5027.608] -- 0:09:43
458000 -- (-5044.105) (-5026.547) (-5036.010) [-5028.762] * (-5026.635) (-5042.534) [-5037.070] (-5029.955) -- 0:09:42
459000 -- (-5045.678) [-5015.506] (-5032.267) (-5031.436) * (-5036.163) (-5041.483) (-5034.680) [-5018.723] -- 0:09:41
460000 -- (-5059.455) (-5029.017) [-5024.816] (-5034.628) * (-5035.967) (-5028.635) (-5037.173) [-5020.063] -- 0:09:39
Average standard deviation of split frequencies: 0.012736
461000 -- (-5034.791) (-5034.213) [-5026.966] (-5033.227) * (-5048.278) (-5043.478) (-5042.249) [-5027.105] -- 0:09:38
462000 -- (-5039.418) [-5026.121] (-5049.059) (-5030.209) * [-5021.333] (-5031.522) (-5046.679) (-5036.402) -- 0:09:37
463000 -- [-5037.339] (-5037.870) (-5032.308) (-5017.708) * [-5020.626] (-5027.548) (-5054.906) (-5032.123) -- 0:09:36
464000 -- (-5031.947) (-5037.268) [-5026.728] (-5026.166) * [-5019.867] (-5044.471) (-5023.340) (-5037.088) -- 0:09:35
465000 -- (-5021.978) (-5028.647) (-5047.788) [-5028.972] * (-5026.335) (-5049.164) [-5027.956] (-5030.200) -- 0:09:34
Average standard deviation of split frequencies: 0.012752
466000 -- (-5032.041) (-5030.200) [-5038.850] (-5026.104) * [-5018.679] (-5044.973) (-5043.100) (-5014.063) -- 0:09:32
467000 -- (-5029.915) [-5025.218] (-5018.544) (-5022.178) * (-5025.029) (-5053.020) (-5036.440) [-5020.389] -- 0:09:31
468000 -- [-5021.398] (-5034.967) (-5041.808) (-5046.416) * [-5012.815] (-5038.961) (-5028.929) (-5020.145) -- 0:09:30
469000 -- [-5028.158] (-5034.559) (-5039.288) (-5028.343) * (-5025.067) (-5046.529) [-5027.117] (-5044.726) -- 0:09:29
470000 -- [-5023.243] (-5034.647) (-5044.334) (-5022.769) * [-5026.995] (-5020.178) (-5038.411) (-5027.619) -- 0:09:28
Average standard deviation of split frequencies: 0.012201
471000 -- (-5019.204) (-5022.463) [-5026.591] (-5042.369) * [-5015.272] (-5032.190) (-5038.897) (-5028.029) -- 0:09:27
472000 -- [-5020.329] (-5026.624) (-5023.380) (-5047.029) * [-5016.472] (-5035.940) (-5031.725) (-5030.110) -- 0:09:26
473000 -- (-5040.362) (-5036.535) [-5031.026] (-5030.821) * (-5032.526) (-5024.074) (-5044.117) [-5025.427] -- 0:09:24
474000 -- [-5023.267] (-5032.399) (-5032.400) (-5028.666) * (-5045.484) [-5032.886] (-5038.864) (-5023.999) -- 0:09:23
475000 -- (-5034.205) (-5034.652) [-5020.185] (-5025.639) * (-5056.617) (-5047.258) [-5024.426] (-5025.247) -- 0:09:22
Average standard deviation of split frequencies: 0.012519
476000 -- (-5029.717) (-5018.764) [-5020.540] (-5028.899) * (-5044.312) (-5031.932) [-5035.252] (-5030.913) -- 0:09:21
477000 -- (-5047.119) (-5022.765) [-5031.312] (-5043.515) * (-5052.867) (-5025.924) [-5021.401] (-5019.900) -- 0:09:20
478000 -- (-5037.030) [-5024.316] (-5038.760) (-5035.039) * (-5044.889) (-5028.979) (-5022.296) [-5025.358] -- 0:09:19
479000 -- (-5022.067) [-5035.810] (-5036.467) (-5032.236) * (-5039.102) (-5034.478) [-5021.095] (-5040.624) -- 0:09:17
480000 -- (-5019.080) (-5027.994) [-5016.505] (-5037.183) * (-5022.805) (-5043.262) [-5016.350] (-5033.808) -- 0:09:16
Average standard deviation of split frequencies: 0.012152
481000 -- (-5025.878) (-5035.013) (-5031.890) [-5018.509] * (-5037.722) [-5019.662] (-5032.532) (-5037.278) -- 0:09:15
482000 -- (-5036.996) (-5039.727) [-5026.310] (-5040.422) * (-5053.632) (-5026.135) (-5029.713) [-5027.974] -- 0:09:14
483000 -- (-5032.310) (-5021.430) (-5024.712) [-5021.379] * (-5025.801) (-5029.222) [-5027.735] (-5023.014) -- 0:09:13
484000 -- (-5021.467) (-5036.650) [-5024.060] (-5022.348) * (-5026.637) [-5027.421] (-5043.699) (-5025.380) -- 0:09:12
485000 -- (-5028.827) (-5029.022) (-5022.907) [-5012.699] * (-5034.159) (-5042.901) (-5030.048) [-5014.221] -- 0:09:11
Average standard deviation of split frequencies: 0.011863
486000 -- (-5025.999) (-5021.684) [-5022.247] (-5027.572) * (-5023.099) (-5040.332) [-5042.993] (-5020.283) -- 0:09:09
487000 -- (-5032.877) (-5026.946) [-5026.840] (-5018.414) * [-5022.446] (-5031.104) (-5046.426) (-5025.615) -- 0:09:08
488000 -- (-5045.103) (-5025.856) [-5031.407] (-5029.247) * [-5021.879] (-5023.722) (-5032.703) (-5030.444) -- 0:09:07
489000 -- (-5034.133) [-5020.758] (-5026.320) (-5027.528) * (-5048.771) [-5024.134] (-5026.855) (-5030.502) -- 0:09:06
490000 -- [-5020.448] (-5027.682) (-5038.702) (-5026.502) * (-5021.883) (-5036.542) [-5022.835] (-5050.760) -- 0:09:05
Average standard deviation of split frequencies: 0.012009
491000 -- (-5024.607) (-5048.757) (-5029.467) [-5030.545] * (-5026.585) (-5020.797) (-5045.403) [-5039.204] -- 0:09:04
492000 -- (-5040.631) (-5014.614) [-5022.916] (-5045.734) * (-5033.980) [-5025.098] (-5036.734) (-5027.992) -- 0:09:03
493000 -- (-5044.493) (-5015.400) [-5013.363] (-5037.923) * [-5023.001] (-5021.505) (-5056.801) (-5024.993) -- 0:09:01
494000 -- (-5051.030) (-5032.438) [-5019.927] (-5026.391) * [-5027.687] (-5026.576) (-5058.876) (-5043.163) -- 0:09:00
495000 -- (-5032.863) (-5031.849) (-5033.225) [-5019.502] * [-5008.942] (-5030.466) (-5029.277) (-5031.224) -- 0:08:59
Average standard deviation of split frequencies: 0.011858
496000 -- (-5045.693) [-5017.699] (-5043.523) (-5027.451) * [-5018.248] (-5023.008) (-5042.485) (-5035.204) -- 0:08:58
497000 -- (-5027.821) (-5031.126) [-5025.840] (-5028.450) * (-5030.764) (-5044.725) [-5031.009] (-5042.456) -- 0:08:57
498000 -- (-5020.593) (-5025.205) [-5023.326] (-5036.605) * (-5047.906) (-5033.582) [-5018.147] (-5035.765) -- 0:08:56
499000 -- (-5011.836) [-5012.089] (-5036.922) (-5038.569) * [-5032.305] (-5032.662) (-5033.687) (-5029.004) -- 0:08:55
500000 -- (-5029.305) (-5023.773) [-5027.034] (-5025.876) * (-5047.309) (-5031.181) (-5033.191) [-5027.363] -- 0:08:54
Average standard deviation of split frequencies: 0.011843
501000 -- (-5039.888) (-5026.788) (-5043.468) [-5023.383] * (-5045.955) [-5020.608] (-5018.222) (-5033.440) -- 0:08:52
502000 -- (-5040.765) (-5042.264) (-5036.052) [-5019.737] * (-5045.136) (-5030.566) (-5034.569) [-5032.302] -- 0:08:51
503000 -- (-5033.192) (-5016.117) [-5031.433] (-5028.203) * (-5040.878) (-5037.144) [-5024.791] (-5049.376) -- 0:08:50
504000 -- (-5024.883) (-5027.566) (-5032.282) [-5020.541] * [-5014.228] (-5033.412) (-5022.353) (-5065.156) -- 0:08:49
505000 -- (-5030.407) (-5028.920) (-5042.289) [-5018.238] * (-5039.144) (-5045.745) [-5034.156] (-5053.085) -- 0:08:49
Average standard deviation of split frequencies: 0.011882
506000 -- [-5021.494] (-5032.564) (-5051.566) (-5041.461) * (-5013.575) [-5013.836] (-5033.442) (-5058.041) -- 0:08:48
507000 -- [-5013.911] (-5032.983) (-5049.427) (-5071.774) * (-5020.624) [-5019.626] (-5027.739) (-5033.756) -- 0:08:47
508000 -- (-5042.691) [-5027.313] (-5028.584) (-5032.550) * (-5023.695) (-5047.082) [-5028.278] (-5037.338) -- 0:08:45
509000 -- (-5044.389) (-5028.386) (-5032.733) [-5014.418] * [-5014.688] (-5031.698) (-5037.994) (-5039.520) -- 0:08:44
510000 -- (-5031.002) (-5041.558) (-5037.431) [-5017.925] * (-5029.338) (-5030.378) (-5032.784) [-5029.322] -- 0:08:43
Average standard deviation of split frequencies: 0.011574
511000 -- (-5036.908) (-5051.974) [-5028.433] (-5028.092) * [-5032.053] (-5026.167) (-5035.292) (-5031.412) -- 0:08:42
512000 -- (-5031.616) (-5027.474) (-5016.203) [-5027.094] * (-5018.032) (-5033.915) [-5017.723] (-5026.069) -- 0:08:41
513000 -- (-5032.419) [-5020.812] (-5022.888) (-5034.022) * [-5013.457] (-5028.488) (-5035.993) (-5044.643) -- 0:08:40
514000 -- (-5034.514) [-5030.719] (-5025.461) (-5047.340) * [-5012.341] (-5031.626) (-5046.546) (-5037.993) -- 0:08:39
515000 -- (-5027.547) (-5053.485) [-5042.824] (-5027.669) * (-5025.417) (-5022.425) (-5046.289) [-5023.920] -- 0:08:37
Average standard deviation of split frequencies: 0.011605
516000 -- (-5042.157) [-5019.925] (-5022.533) (-5048.669) * (-5022.531) (-5040.357) (-5040.423) [-5031.145] -- 0:08:36
517000 -- (-5056.341) [-5039.845] (-5021.489) (-5035.884) * (-5037.111) (-5041.788) (-5035.647) [-5019.333] -- 0:08:35
518000 -- (-5056.397) (-5027.073) [-5012.402] (-5024.496) * [-5017.038] (-5036.390) (-5038.441) (-5029.141) -- 0:08:34
519000 -- [-5028.193] (-5048.001) (-5016.511) (-5033.337) * (-5025.356) (-5021.794) (-5052.490) [-5013.557] -- 0:08:33
520000 -- (-5035.535) (-5030.831) [-5018.063] (-5019.398) * (-5032.727) (-5026.238) (-5038.583) [-5020.772] -- 0:08:32
Average standard deviation of split frequencies: 0.011530
521000 -- (-5019.511) (-5026.920) [-5008.504] (-5046.046) * (-5016.560) (-5031.347) (-5031.773) [-5021.939] -- 0:08:31
522000 -- [-5025.304] (-5034.544) (-5031.045) (-5043.095) * (-5018.103) (-5032.969) [-5027.514] (-5034.291) -- 0:08:30
523000 -- (-5044.224) [-5024.541] (-5033.985) (-5021.861) * (-5026.261) (-5043.763) [-5021.862] (-5035.426) -- 0:08:28
524000 -- (-5045.065) (-5032.164) [-5021.784] (-5024.319) * (-5030.367) (-5065.470) [-5038.086] (-5032.556) -- 0:08:27
525000 -- (-5031.345) (-5052.650) (-5023.995) [-5023.391] * (-5024.402) (-5047.371) (-5037.833) [-5016.916] -- 0:08:26
Average standard deviation of split frequencies: 0.011693
526000 -- (-5022.338) (-5055.698) (-5033.916) [-5023.361] * (-5040.592) (-5028.404) (-5028.544) [-5016.623] -- 0:08:25
527000 -- (-5030.926) (-5048.266) [-5021.478] (-5031.845) * [-5040.717] (-5037.135) (-5024.929) (-5032.454) -- 0:08:24
528000 -- [-5038.340] (-5056.681) (-5020.258) (-5031.675) * (-5038.109) (-5034.104) (-5026.813) [-5024.033] -- 0:08:23
529000 -- (-5020.308) (-5065.623) [-5020.797] (-5039.386) * (-5043.457) (-5034.352) [-5010.450] (-5019.761) -- 0:08:22
530000 -- (-5038.897) (-5052.632) (-5029.037) [-5019.577] * [-5020.478] (-5030.594) (-5022.969) (-5042.404) -- 0:08:21
Average standard deviation of split frequencies: 0.011784
531000 -- (-5045.429) (-5034.914) (-5027.030) [-5028.371] * (-5026.827) (-5038.716) (-5035.159) [-5026.662] -- 0:08:19
532000 -- (-5025.283) (-5019.747) [-5020.231] (-5025.821) * [-5022.912] (-5042.259) (-5031.445) (-5027.029) -- 0:08:18
533000 -- (-5029.058) [-5021.503] (-5025.521) (-5030.045) * (-5030.046) (-5029.620) [-5015.481] (-5048.389) -- 0:08:17
534000 -- [-5015.440] (-5043.230) (-5041.507) (-5037.322) * (-5045.582) [-5016.944] (-5032.688) (-5034.697) -- 0:08:16
535000 -- (-5031.775) (-5043.321) (-5030.509) [-5024.490] * (-5041.842) (-5041.771) [-5019.989] (-5026.920) -- 0:08:16
Average standard deviation of split frequencies: 0.011639
536000 -- (-5030.048) (-5024.328) (-5031.199) [-5023.755] * (-5041.332) (-5033.743) [-5031.787] (-5024.524) -- 0:08:15
537000 -- (-5043.933) (-5037.626) [-5020.602] (-5036.654) * (-5027.130) (-5039.273) (-5025.919) [-5024.456] -- 0:08:14
538000 -- (-5036.694) (-5068.774) (-5023.586) [-5019.410] * (-5041.723) (-5041.013) (-5032.961) [-5024.727] -- 0:08:13
539000 -- [-5031.191] (-5054.188) (-5026.930) (-5036.422) * [-5023.173] (-5051.148) (-5033.777) (-5050.601) -- 0:08:13
540000 -- (-5036.452) (-5036.335) (-5022.411) [-5023.355] * (-5027.661) (-5044.997) (-5031.308) [-5028.287] -- 0:08:12
Average standard deviation of split frequencies: 0.011566
541000 -- (-5042.776) (-5038.917) [-5021.709] (-5029.009) * (-5029.203) (-5028.340) (-5032.038) [-5020.867] -- 0:08:12
542000 -- (-5045.432) (-5022.020) [-5016.754] (-5037.859) * (-5022.322) [-5032.130] (-5025.175) (-5038.859) -- 0:08:10
543000 -- (-5028.791) [-5018.384] (-5052.096) (-5026.831) * [-5020.998] (-5043.192) (-5042.902) (-5028.983) -- 0:08:10
544000 -- (-5025.679) [-5022.416] (-5043.561) (-5027.589) * [-5029.495] (-5044.905) (-5042.713) (-5036.204) -- 0:08:09
545000 -- (-5037.432) [-5024.151] (-5029.809) (-5035.851) * (-5020.331) (-5033.577) (-5025.987) [-5026.338] -- 0:08:08
Average standard deviation of split frequencies: 0.011750
546000 -- (-5041.637) [-5025.028] (-5029.164) (-5028.021) * (-5021.769) [-5040.189] (-5034.247) (-5030.177) -- 0:08:07
547000 -- (-5037.647) (-5039.817) [-5020.865] (-5035.926) * [-5013.923] (-5023.875) (-5035.097) (-5028.647) -- 0:08:06
548000 -- (-5022.993) (-5043.788) (-5026.093) [-5022.093] * (-5018.103) (-5017.552) (-5024.708) [-5025.340] -- 0:08:04
549000 -- (-5033.272) (-5027.884) (-5043.439) [-5025.764] * [-5027.066] (-5018.001) (-5028.347) (-5047.687) -- 0:08:03
550000 -- (-5031.814) (-5029.608) (-5024.551) [-5024.518] * [-5016.271] (-5043.804) (-5022.976) (-5043.573) -- 0:08:02
Average standard deviation of split frequencies: 0.011985
551000 -- (-5040.209) (-5042.162) [-5023.250] (-5026.949) * (-5031.154) [-5022.311] (-5039.785) (-5037.040) -- 0:08:01
552000 -- (-5032.437) (-5029.078) [-5018.976] (-5023.926) * (-5025.635) [-5017.008] (-5043.106) (-5030.457) -- 0:08:00
553000 -- [-5031.552] (-5038.080) (-5031.390) (-5036.552) * (-5054.976) [-5016.014] (-5037.267) (-5038.724) -- 0:07:59
554000 -- (-5026.144) (-5027.338) [-5024.963] (-5038.546) * (-5037.716) [-5018.744] (-5033.008) (-5027.802) -- 0:07:58
555000 -- [-5016.964] (-5027.359) (-5029.907) (-5025.790) * [-5016.250] (-5022.735) (-5028.388) (-5028.888) -- 0:07:57
Average standard deviation of split frequencies: 0.011923
556000 -- (-5017.027) (-5052.929) (-5036.293) [-5020.335] * (-5020.923) (-5040.902) [-5009.866] (-5035.415) -- 0:07:55
557000 -- [-5029.161] (-5043.079) (-5028.200) (-5044.510) * (-5033.767) (-5045.875) [-5032.348] (-5030.146) -- 0:07:54
558000 -- (-5036.786) [-5030.133] (-5036.852) (-5045.181) * [-5028.913] (-5040.162) (-5035.725) (-5034.624) -- 0:07:53
559000 -- (-5014.954) [-5010.290] (-5022.979) (-5031.318) * [-5025.109] (-5045.823) (-5045.347) (-5025.443) -- 0:07:52
560000 -- (-5015.757) (-5027.402) (-5023.308) [-5024.048] * (-5035.098) [-5018.804] (-5037.599) (-5033.541) -- 0:07:51
Average standard deviation of split frequencies: 0.012021
561000 -- (-5025.586) [-5033.446] (-5030.006) (-5045.217) * [-5022.417] (-5032.467) (-5038.779) (-5035.181) -- 0:07:50
562000 -- (-5038.574) [-5023.881] (-5019.286) (-5037.046) * (-5017.953) (-5031.937) [-5015.707] (-5029.579) -- 0:07:49
563000 -- [-5029.263] (-5038.011) (-5037.010) (-5028.864) * (-5030.042) [-5027.284] (-5037.249) (-5038.453) -- 0:07:48
564000 -- (-5040.773) (-5017.560) (-5023.550) [-5029.063] * (-5038.131) [-5026.002] (-5026.038) (-5054.565) -- 0:07:46
565000 -- (-5029.124) [-5029.219] (-5020.314) (-5043.558) * (-5032.593) (-5034.283) (-5035.628) [-5017.351] -- 0:07:45
Average standard deviation of split frequencies: 0.011916
566000 -- (-5040.313) (-5026.212) [-5013.311] (-5034.049) * (-5045.461) (-5039.921) [-5032.842] (-5022.888) -- 0:07:44
567000 -- (-5037.949) [-5027.402] (-5045.297) (-5024.665) * (-5030.837) (-5031.634) (-5039.044) [-5031.375] -- 0:07:43
568000 -- (-5055.597) (-5039.426) [-5022.267] (-5021.199) * [-5012.741] (-5022.087) (-5030.382) (-5035.994) -- 0:07:42
569000 -- (-5045.692) [-5028.235] (-5032.405) (-5026.346) * (-5043.778) [-5030.168] (-5024.525) (-5028.318) -- 0:07:41
570000 -- [-5021.152] (-5036.033) (-5030.638) (-5047.419) * (-5048.716) (-5025.767) [-5024.639] (-5022.602) -- 0:07:40
Average standard deviation of split frequencies: 0.011692
571000 -- (-5043.001) (-5038.073) (-5036.261) [-5018.779] * (-5040.672) (-5016.967) (-5023.702) [-5021.029] -- 0:07:39
572000 -- (-5030.544) [-5014.136] (-5017.880) (-5040.506) * (-5018.959) (-5034.545) (-5042.005) [-5014.882] -- 0:07:37
573000 -- (-5037.086) (-5026.147) (-5026.665) [-5025.981] * [-5027.308] (-5029.177) (-5028.982) (-5030.555) -- 0:07:36
574000 -- (-5044.982) (-5027.929) (-5033.673) [-5025.099] * (-5025.623) (-5037.646) (-5033.505) [-5021.412] -- 0:07:35
575000 -- (-5042.089) (-5035.211) [-5022.937] (-5026.786) * (-5022.736) (-5035.916) (-5036.120) [-5025.803] -- 0:07:34
Average standard deviation of split frequencies: 0.011710
576000 -- [-5027.935] (-5040.834) (-5042.689) (-5041.405) * (-5040.455) [-5029.431] (-5035.313) (-5039.552) -- 0:07:33
577000 -- (-5028.653) (-5041.715) (-5029.060) [-5028.765] * [-5027.064] (-5039.085) (-5016.725) (-5045.045) -- 0:07:32
578000 -- [-5034.548] (-5034.884) (-5023.417) (-5035.584) * [-5036.798] (-5042.862) (-5038.326) (-5026.772) -- 0:07:31
579000 -- (-5037.923) (-5027.200) [-5021.700] (-5029.459) * (-5036.079) (-5045.428) (-5018.373) [-5026.024] -- 0:07:30
580000 -- (-5044.638) [-5021.561] (-5050.652) (-5024.722) * (-5028.627) (-5026.320) (-5021.249) [-5029.962] -- 0:07:28
Average standard deviation of split frequencies: 0.011628
581000 -- (-5019.305) (-5032.138) (-5033.636) [-5034.033] * (-5034.193) (-5048.499) (-5036.857) [-5027.635] -- 0:07:27
582000 -- (-5045.938) (-5030.227) (-5026.079) [-5023.258] * (-5039.463) (-5044.703) [-5025.805] (-5030.367) -- 0:07:26
583000 -- (-5046.596) [-5024.151] (-5025.113) (-5041.380) * (-5042.574) (-5042.775) [-5017.353] (-5027.376) -- 0:07:25
584000 -- (-5023.864) [-5015.786] (-5023.232) (-5046.124) * (-5035.466) (-5054.107) [-5020.068] (-5027.307) -- 0:07:24
585000 -- (-5012.344) (-5033.876) (-5021.592) [-5024.516] * (-5036.270) (-5032.389) [-5018.536] (-5036.893) -- 0:07:23
Average standard deviation of split frequencies: 0.011708
586000 -- [-5017.810] (-5039.007) (-5041.724) (-5038.115) * (-5021.889) [-5032.198] (-5035.414) (-5040.993) -- 0:07:22
587000 -- (-5032.212) [-5016.776] (-5036.179) (-5029.831) * (-5053.127) (-5027.095) [-5014.512] (-5037.287) -- 0:07:21
588000 -- (-5032.291) (-5024.566) [-5024.324] (-5050.133) * (-5041.252) [-5031.816] (-5034.147) (-5021.405) -- 0:07:20
589000 -- (-5027.333) [-5030.686] (-5028.864) (-5028.933) * (-5041.995) [-5023.007] (-5049.259) (-5029.166) -- 0:07:19
590000 -- [-5022.228] (-5027.389) (-5030.499) (-5029.177) * (-5019.305) [-5029.710] (-5028.723) (-5025.599) -- 0:07:18
Average standard deviation of split frequencies: 0.011480
591000 -- (-5036.641) [-5027.503] (-5045.492) (-5030.491) * (-5035.395) (-5032.551) [-5037.068] (-5041.179) -- 0:07:17
592000 -- (-5024.447) [-5024.305] (-5019.271) (-5041.619) * [-5020.807] (-5045.334) (-5051.365) (-5035.041) -- 0:07:16
593000 -- (-5037.144) [-5024.145] (-5022.510) (-5035.823) * [-5017.470] (-5043.150) (-5034.028) (-5035.041) -- 0:07:15
594000 -- (-5051.961) (-5028.558) [-5025.751] (-5019.516) * [-5021.608] (-5042.312) (-5041.320) (-5035.026) -- 0:07:14
595000 -- (-5028.792) (-5032.474) [-5030.225] (-5034.469) * (-5032.751) (-5043.058) [-5018.148] (-5023.480) -- 0:07:12
Average standard deviation of split frequencies: 0.011645
596000 -- (-5034.541) (-5015.993) (-5043.079) [-5027.015] * (-5025.013) [-5027.336] (-5029.938) (-5032.329) -- 0:07:11
597000 -- (-5029.779) [-5024.730] (-5051.049) (-5038.060) * [-5022.934] (-5030.352) (-5034.471) (-5040.440) -- 0:07:10
598000 -- (-5026.042) [-5014.806] (-5053.091) (-5036.344) * (-5024.736) (-5025.742) [-5018.731] (-5042.234) -- 0:07:09
599000 -- (-5025.989) [-5018.835] (-5024.445) (-5033.315) * (-5031.841) [-5014.634] (-5037.435) (-5028.693) -- 0:07:08
600000 -- [-5025.546] (-5037.197) (-5038.065) (-5021.649) * (-5026.557) (-5043.736) (-5033.038) [-5016.487] -- 0:07:07
Average standard deviation of split frequencies: 0.011588
601000 -- (-5035.955) (-5035.839) (-5035.366) [-5022.453] * (-5022.781) (-5040.320) (-5038.361) [-5012.803] -- 0:07:06
602000 -- (-5033.963) [-5028.896] (-5039.700) (-5055.689) * (-5022.342) [-5026.596] (-5026.484) (-5026.754) -- 0:07:05
603000 -- (-5043.000) (-5030.736) [-5031.418] (-5036.003) * (-5034.320) (-5048.893) (-5033.858) [-5029.340] -- 0:07:03
604000 -- (-5038.224) (-5031.083) [-5033.847] (-5032.591) * (-5046.303) [-5028.150] (-5052.813) (-5024.418) -- 0:07:02
605000 -- (-5036.039) [-5021.897] (-5033.405) (-5028.396) * (-5028.861) (-5036.061) (-5042.056) [-5037.002] -- 0:07:01
Average standard deviation of split frequencies: 0.011596
606000 -- (-5035.296) (-5020.256) [-5037.943] (-5016.886) * [-5025.881] (-5023.770) (-5032.100) (-5041.804) -- 0:07:00
607000 -- (-5024.052) [-5014.881] (-5026.233) (-5024.014) * (-5027.036) (-5034.509) (-5027.579) [-5011.735] -- 0:06:59
608000 -- (-5048.929) [-5022.881] (-5035.986) (-5025.260) * (-5023.819) (-5037.729) [-5018.393] (-5058.517) -- 0:06:58
609000 -- [-5027.016] (-5046.543) (-5030.736) (-5023.171) * (-5017.228) [-5006.353] (-5037.104) (-5042.689) -- 0:06:57
610000 -- [-5021.070] (-5041.772) (-5025.883) (-5041.179) * (-5042.265) [-5014.090] (-5037.594) (-5026.135) -- 0:06:56
Average standard deviation of split frequencies: 0.011278
611000 -- [-5024.888] (-5034.637) (-5024.557) (-5043.910) * (-5040.949) [-5022.145] (-5030.539) (-5038.882) -- 0:06:55
612000 -- (-5046.816) (-5043.605) [-5023.840] (-5035.747) * (-5033.874) [-5024.007] (-5028.490) (-5037.683) -- 0:06:53
613000 -- (-5047.828) [-5029.147] (-5026.512) (-5038.545) * [-5034.741] (-5033.441) (-5029.072) (-5031.660) -- 0:06:52
614000 -- (-5043.834) (-5041.104) (-5020.219) [-5019.471] * (-5040.304) (-5025.169) (-5033.822) [-5016.534] -- 0:06:51
615000 -- (-5037.735) (-5041.747) (-5029.483) [-5017.911] * (-5028.821) (-5034.586) (-5040.599) [-5025.873] -- 0:06:50
Average standard deviation of split frequencies: 0.011120
616000 -- [-5023.501] (-5034.592) (-5025.716) (-5047.049) * [-5022.672] (-5038.630) (-5023.824) (-5022.390) -- 0:06:49
617000 -- (-5027.014) (-5032.886) [-5012.198] (-5033.108) * [-5024.993] (-5030.197) (-5044.360) (-5033.062) -- 0:06:48
618000 -- (-5048.861) (-5016.300) [-5024.224] (-5037.969) * [-5016.048] (-5028.718) (-5051.709) (-5035.428) -- 0:06:47
619000 -- (-5038.440) [-5021.426] (-5040.281) (-5037.789) * (-5030.315) (-5021.771) (-5022.896) [-5027.406] -- 0:06:46
620000 -- (-5041.744) (-5042.786) [-5034.629] (-5045.594) * [-5030.193] (-5024.222) (-5038.286) (-5029.629) -- 0:06:45
Average standard deviation of split frequencies: 0.010847
621000 -- (-5029.466) [-5027.752] (-5044.170) (-5032.481) * (-5039.226) [-5014.016] (-5029.849) (-5029.830) -- 0:06:44
622000 -- (-5030.960) [-5023.086] (-5029.947) (-5044.895) * [-5013.663] (-5030.239) (-5022.335) (-5039.003) -- 0:06:42
623000 -- (-5029.000) [-5025.360] (-5039.469) (-5034.715) * [-5031.688] (-5039.723) (-5016.300) (-5045.015) -- 0:06:41
624000 -- (-5025.405) (-5041.059) (-5046.708) [-5030.483] * [-5024.819] (-5023.008) (-5045.462) (-5027.771) -- 0:06:40
625000 -- (-5045.068) (-5030.357) [-5027.818] (-5029.702) * [-5028.826] (-5023.864) (-5033.271) (-5035.581) -- 0:06:39
Average standard deviation of split frequencies: 0.011025
626000 -- (-5028.241) (-5036.233) (-5034.451) [-5023.829] * (-5028.041) [-5020.793] (-5037.065) (-5035.564) -- 0:06:38
627000 -- [-5020.486] (-5031.628) (-5038.722) (-5021.728) * (-5025.330) (-5024.559) (-5025.928) [-5019.353] -- 0:06:37
628000 -- (-5013.904) (-5040.130) (-5019.775) [-5021.576] * [-5018.057] (-5037.362) (-5020.981) (-5021.421) -- 0:06:36
629000 -- [-5032.840] (-5036.990) (-5033.119) (-5023.980) * [-5025.570] (-5029.472) (-5042.462) (-5012.259) -- 0:06:35
630000 -- (-5042.325) (-5032.071) (-5034.538) [-5018.598] * (-5044.116) (-5049.063) (-5034.055) [-5023.299] -- 0:06:34
Average standard deviation of split frequencies: 0.010908
631000 -- (-5038.840) (-5031.997) [-5017.679] (-5027.719) * (-5042.208) (-5033.919) (-5034.838) [-5030.109] -- 0:06:32
632000 -- (-5027.963) [-5023.409] (-5029.507) (-5035.361) * (-5032.457) (-5036.922) (-5042.463) [-5033.550] -- 0:06:31
633000 -- (-5022.208) (-5036.424) [-5040.980] (-5049.291) * (-5026.521) [-5021.754] (-5039.790) (-5034.173) -- 0:06:30
634000 -- [-5014.374] (-5052.323) (-5021.236) (-5053.621) * (-5030.042) [-5031.131] (-5038.813) (-5028.025) -- 0:06:29
635000 -- [-5028.588] (-5043.153) (-5023.818) (-5030.126) * (-5028.675) (-5034.410) (-5030.708) [-5028.548] -- 0:06:28
Average standard deviation of split frequencies: 0.011037
636000 -- [-5018.099] (-5044.283) (-5055.039) (-5032.153) * (-5049.110) (-5042.592) (-5028.700) [-5016.132] -- 0:06:27
637000 -- [-5030.002] (-5061.495) (-5037.414) (-5036.511) * (-5030.172) (-5033.793) [-5019.699] (-5026.245) -- 0:06:26
638000 -- [-5021.897] (-5050.835) (-5026.284) (-5044.910) * [-5015.360] (-5028.691) (-5034.000) (-5026.367) -- 0:06:25
639000 -- (-5032.191) [-5029.533] (-5035.181) (-5032.032) * (-5027.058) (-5028.609) (-5042.788) [-5023.509] -- 0:06:24
640000 -- [-5024.612] (-5027.987) (-5024.724) (-5030.696) * (-5027.883) (-5051.785) (-5040.588) [-5027.748] -- 0:06:23
Average standard deviation of split frequencies: 0.011224
641000 -- (-5045.159) (-5019.594) (-5025.341) [-5013.742] * [-5016.139] (-5041.547) (-5056.475) (-5024.996) -- 0:06:21
642000 -- (-5044.851) (-5018.454) [-5017.939] (-5028.516) * (-5030.804) (-5053.569) (-5032.204) [-5023.511] -- 0:06:20
643000 -- (-5038.181) [-5027.882] (-5031.052) (-5027.859) * (-5028.170) (-5049.392) [-5021.856] (-5022.627) -- 0:06:19
644000 -- (-5042.668) (-5030.250) [-5028.197] (-5041.728) * (-5039.643) (-5037.465) [-5022.564] (-5020.876) -- 0:06:18
645000 -- (-5060.565) (-5025.345) (-5025.633) [-5024.530] * (-5023.397) (-5030.001) [-5031.251] (-5028.777) -- 0:06:17
Average standard deviation of split frequencies: 0.010784
646000 -- (-5048.690) [-5024.023] (-5022.516) (-5035.174) * [-5022.371] (-5037.863) (-5026.330) (-5030.793) -- 0:06:16
647000 -- (-5032.910) (-5024.371) [-5022.068] (-5027.277) * (-5022.453) (-5041.333) [-5024.929] (-5024.658) -- 0:06:15
648000 -- [-5018.261] (-5018.782) (-5033.450) (-5045.625) * (-5034.304) (-5034.699) [-5018.094] (-5031.683) -- 0:06:14
649000 -- (-5040.630) (-5037.609) [-5010.962] (-5039.127) * (-5020.669) (-5042.716) (-5049.256) [-5032.432] -- 0:06:13
650000 -- (-5041.831) (-5028.107) [-5022.871] (-5040.308) * (-5027.122) [-5030.293] (-5023.793) (-5035.364) -- 0:06:13
Average standard deviation of split frequencies: 0.010430
651000 -- (-5037.444) (-5026.240) [-5015.185] (-5033.298) * (-5054.818) (-5025.765) [-5025.865] (-5032.574) -- 0:06:12
652000 -- [-5015.205] (-5028.550) (-5024.377) (-5050.687) * (-5027.515) [-5022.901] (-5027.618) (-5039.893) -- 0:06:10
653000 -- (-5028.934) [-5020.087] (-5034.149) (-5046.843) * (-5020.262) (-5021.264) [-5028.841] (-5032.268) -- 0:06:09
654000 -- [-5023.799] (-5032.995) (-5033.736) (-5027.901) * (-5043.421) (-5026.268) [-5014.765] (-5023.813) -- 0:06:08
655000 -- [-5025.929] (-5040.738) (-5035.206) (-5040.899) * [-5021.666] (-5030.205) (-5033.192) (-5029.624) -- 0:06:07
Average standard deviation of split frequencies: 0.010710
656000 -- (-5033.916) (-5026.840) [-5034.338] (-5035.226) * (-5027.233) (-5039.766) (-5038.731) [-5032.762] -- 0:06:06
657000 -- (-5018.925) (-5030.804) (-5035.886) [-5036.529] * (-5046.427) (-5031.245) [-5021.375] (-5032.778) -- 0:06:05
658000 -- (-5030.323) [-5028.414] (-5027.428) (-5033.069) * (-5035.313) (-5046.384) [-5027.064] (-5028.557) -- 0:06:04
659000 -- (-5030.103) [-5032.081] (-5020.610) (-5043.705) * (-5035.815) (-5027.771) [-5024.712] (-5036.747) -- 0:06:03
660000 -- (-5034.999) (-5013.498) [-5022.067] (-5052.839) * (-5031.495) [-5016.826] (-5031.720) (-5032.469) -- 0:06:02
Average standard deviation of split frequencies: 0.010622
661000 -- (-5032.762) [-5019.409] (-5039.528) (-5039.390) * [-5033.810] (-5025.214) (-5032.024) (-5014.370) -- 0:06:01
662000 -- (-5031.986) (-5022.060) (-5039.572) [-5021.390] * (-5036.515) (-5055.330) (-5022.956) [-5021.305] -- 0:05:59
663000 -- (-5028.319) [-5027.613] (-5035.093) (-5041.084) * [-5020.090] (-5050.615) (-5023.192) (-5037.388) -- 0:05:58
664000 -- (-5037.093) (-5029.270) [-5019.863] (-5047.400) * (-5034.729) [-5036.436] (-5027.346) (-5033.363) -- 0:05:57
665000 -- (-5043.152) [-5036.363] (-5022.669) (-5033.979) * (-5032.520) [-5035.895] (-5029.582) (-5021.742) -- 0:05:56
Average standard deviation of split frequencies: 0.010485
666000 -- (-5039.959) (-5038.072) [-5020.834] (-5029.496) * (-5035.716) [-5026.707] (-5019.090) (-5052.931) -- 0:05:55
667000 -- (-5031.516) (-5035.812) [-5022.420] (-5040.766) * (-5028.802) [-5019.290] (-5023.235) (-5036.625) -- 0:05:54
668000 -- (-5044.453) (-5021.885) [-5023.689] (-5039.052) * [-5025.812] (-5019.587) (-5041.889) (-5039.186) -- 0:05:53
669000 -- (-5025.597) [-5024.056] (-5033.813) (-5025.568) * (-5043.557) [-5018.251] (-5053.824) (-5032.005) -- 0:05:52
670000 -- (-5048.576) [-5025.978] (-5036.402) (-5036.920) * (-5030.539) [-5017.932] (-5049.706) (-5026.819) -- 0:05:51
Average standard deviation of split frequencies: 0.010368
671000 -- [-5022.776] (-5025.121) (-5029.519) (-5029.796) * (-5031.027) (-5043.018) (-5031.016) [-5022.618] -- 0:05:50
672000 -- (-5030.607) [-5014.828] (-5028.546) (-5025.813) * (-5036.415) [-5018.928] (-5034.660) (-5031.526) -- 0:05:48
673000 -- (-5031.260) [-5023.545] (-5014.673) (-5029.579) * (-5043.674) (-5033.218) [-5035.842] (-5020.362) -- 0:05:47
674000 -- (-5040.385) [-5027.876] (-5021.636) (-5027.405) * (-5033.942) (-5036.534) (-5029.322) [-5036.523] -- 0:05:46
675000 -- (-5066.253) (-5031.520) (-5036.499) [-5032.062] * (-5042.484) (-5040.413) [-5016.829] (-5042.953) -- 0:05:45
Average standard deviation of split frequencies: 0.010373
676000 -- (-5040.091) (-5040.059) [-5025.378] (-5029.970) * [-5018.131] (-5027.566) (-5025.541) (-5040.393) -- 0:05:44
677000 -- (-5040.643) (-5034.548) (-5027.021) [-5031.664] * (-5032.904) (-5027.171) (-5035.138) [-5025.918] -- 0:05:43
678000 -- (-5035.344) [-5037.853] (-5049.009) (-5043.019) * (-5041.576) (-5033.758) (-5031.447) [-5022.655] -- 0:05:42
679000 -- (-5030.318) [-5025.611] (-5042.910) (-5039.625) * (-5028.553) [-5037.387] (-5025.463) (-5040.465) -- 0:05:41
680000 -- [-5019.205] (-5024.554) (-5026.838) (-5027.826) * (-5032.770) (-5037.019) [-5021.554] (-5031.657) -- 0:05:40
Average standard deviation of split frequencies: 0.010183
681000 -- (-5020.027) [-5038.092] (-5018.857) (-5025.461) * (-5033.121) [-5032.189] (-5041.895) (-5024.508) -- 0:05:39
682000 -- (-5034.879) (-5020.758) [-5029.581] (-5029.510) * (-5021.679) (-5025.108) (-5053.241) [-5023.338] -- 0:05:38
683000 -- (-5022.248) (-5046.680) [-5018.980] (-5039.815) * (-5052.978) (-5041.940) (-5041.985) [-5011.872] -- 0:05:36
684000 -- (-5024.631) (-5025.643) (-5041.362) [-5045.369] * [-5027.467] (-5027.976) (-5030.373) (-5028.717) -- 0:05:35
685000 -- (-5037.465) (-5032.650) [-5026.739] (-5051.593) * (-5053.420) [-5027.851] (-5026.355) (-5035.446) -- 0:05:34
Average standard deviation of split frequencies: 0.010149
686000 -- (-5060.213) [-5025.814] (-5034.590) (-5032.931) * [-5033.951] (-5029.664) (-5034.412) (-5032.635) -- 0:05:33
687000 -- (-5063.656) (-5016.508) [-5028.402] (-5025.456) * (-5039.978) (-5037.333) (-5010.166) [-5038.764] -- 0:05:32
688000 -- [-5031.930] (-5032.238) (-5039.467) (-5030.074) * (-5040.095) [-5027.038] (-5016.877) (-5028.108) -- 0:05:31
689000 -- (-5021.179) (-5028.600) [-5027.391] (-5042.582) * (-5038.912) [-5026.890] (-5029.445) (-5045.835) -- 0:05:30
690000 -- (-5029.813) [-5021.228] (-5040.039) (-5028.962) * (-5044.559) (-5028.673) [-5030.182] (-5039.619) -- 0:05:29
Average standard deviation of split frequencies: 0.010133
691000 -- (-5029.751) [-5015.669] (-5032.102) (-5037.916) * (-5040.278) (-5020.832) [-5020.821] (-5032.163) -- 0:05:28
692000 -- (-5030.087) [-5025.443] (-5040.123) (-5040.284) * (-5038.113) (-5021.639) (-5024.132) [-5019.965] -- 0:05:27
693000 -- (-5027.439) (-5054.442) (-5025.992) [-5030.366] * (-5057.247) [-5021.743] (-5034.506) (-5036.221) -- 0:05:26
694000 -- [-5029.332] (-5041.311) (-5024.532) (-5041.452) * [-5034.789] (-5038.228) (-5034.149) (-5039.501) -- 0:05:24
695000 -- [-5032.930] (-5032.582) (-5039.728) (-5045.457) * (-5039.437) [-5017.316] (-5025.572) (-5038.813) -- 0:05:24
Average standard deviation of split frequencies: 0.010097
696000 -- (-5026.098) (-5026.256) [-5022.648] (-5030.023) * (-5026.114) (-5024.282) [-5021.924] (-5026.791) -- 0:05:23
697000 -- [-5033.298] (-5033.966) (-5040.145) (-5027.625) * (-5036.379) [-5018.663] (-5017.213) (-5022.527) -- 0:05:22
698000 -- (-5019.953) (-5040.113) (-5042.625) [-5023.018] * (-5038.203) (-5040.695) (-5031.019) [-5017.436] -- 0:05:21
699000 -- (-5027.815) (-5035.723) (-5021.480) [-5014.436] * (-5043.539) (-5041.502) [-5014.135] (-5033.577) -- 0:05:20
700000 -- (-5023.308) (-5040.807) (-5029.087) [-5025.338] * (-5029.114) [-5018.789] (-5047.090) (-5033.946) -- 0:05:19
Average standard deviation of split frequencies: 0.009966
701000 -- (-5029.018) [-5041.323] (-5021.958) (-5031.526) * [-5025.037] (-5038.414) (-5037.634) (-5015.222) -- 0:05:18
702000 -- (-5011.676) (-5042.544) (-5024.023) [-5034.969] * [-5016.942] (-5027.214) (-5034.073) (-5047.746) -- 0:05:17
703000 -- (-5040.557) (-5046.258) (-5032.204) [-5035.504] * (-5030.438) (-5018.843) (-5078.162) [-5036.877] -- 0:05:16
704000 -- [-5025.271] (-5029.522) (-5022.310) (-5036.509) * [-5023.565] (-5032.267) (-5028.628) (-5052.991) -- 0:05:15
705000 -- (-5028.980) (-5039.655) (-5033.197) [-5025.207] * (-5026.280) [-5024.238] (-5030.038) (-5041.224) -- 0:05:15
Average standard deviation of split frequencies: 0.009677
706000 -- (-5033.119) (-5038.224) [-5020.173] (-5042.371) * (-5046.403) [-5014.424] (-5036.309) (-5037.783) -- 0:05:13
707000 -- (-5035.318) (-5023.528) (-5021.187) [-5029.757] * [-5040.117] (-5019.747) (-5031.950) (-5024.698) -- 0:05:13
708000 -- (-5055.452) (-5036.672) (-5028.573) [-5034.031] * (-5032.276) [-5031.080] (-5039.482) (-5021.874) -- 0:05:12
709000 -- (-5033.276) [-5024.913] (-5043.482) (-5036.476) * (-5024.119) (-5039.847) [-5025.882] (-5036.915) -- 0:05:11
710000 -- (-5033.242) [-5021.392] (-5024.031) (-5037.631) * [-5012.256] (-5058.368) (-5035.504) (-5030.368) -- 0:05:10
Average standard deviation of split frequencies: 0.009434
711000 -- (-5045.069) (-5030.270) [-5028.562] (-5039.610) * [-5028.523] (-5040.633) (-5049.994) (-5026.806) -- 0:05:09
712000 -- (-5021.852) (-5040.046) [-5022.279] (-5034.935) * (-5024.696) [-5026.281] (-5037.412) (-5029.130) -- 0:05:08
713000 -- (-5034.545) (-5037.915) (-5043.404) [-5022.500] * (-5029.481) (-5020.065) [-5023.008] (-5030.597) -- 0:05:07
714000 -- (-5043.880) (-5029.130) [-5009.895] (-5043.297) * (-5044.867) (-5023.654) (-5033.173) [-5018.823] -- 0:05:06
715000 -- (-5054.548) (-5032.591) [-5023.130] (-5037.985) * (-5037.235) (-5048.287) [-5012.994] (-5028.031) -- 0:05:05
Average standard deviation of split frequencies: 0.009207
716000 -- (-5041.295) [-5022.994] (-5018.905) (-5028.205) * (-5066.307) (-5027.563) [-5024.453] (-5031.152) -- 0:05:04
717000 -- (-5041.128) [-5027.772] (-5032.974) (-5040.865) * (-5041.057) (-5033.971) [-5030.091] (-5030.932) -- 0:05:03
718000 -- (-5052.500) (-5031.805) (-5024.373) [-5015.757] * (-5037.957) (-5022.484) (-5035.713) [-5017.003] -- 0:05:02
719000 -- (-5046.710) (-5037.907) (-5031.559) [-5026.783] * (-5041.972) (-5024.831) (-5041.017) [-5020.399] -- 0:05:02
720000 -- (-5047.709) (-5029.931) (-5014.950) [-5016.629] * [-5026.595] (-5028.285) (-5052.128) (-5038.036) -- 0:05:01
Average standard deviation of split frequencies: 0.009618
721000 -- [-5026.395] (-5039.003) (-5031.861) (-5025.517) * (-5031.367) [-5019.701] (-5026.226) (-5054.406) -- 0:05:00
722000 -- [-5030.578] (-5034.106) (-5025.300) (-5033.852) * [-5025.591] (-5028.441) (-5056.184) (-5022.437) -- 0:04:59
723000 -- [-5025.347] (-5031.781) (-5040.465) (-5025.129) * (-5037.700) (-5052.519) (-5031.782) [-5019.630] -- 0:04:58
724000 -- (-5055.809) (-5036.586) [-5029.502] (-5032.513) * [-5026.675] (-5037.923) (-5022.253) (-5029.992) -- 0:04:57
725000 -- (-5051.494) (-5044.119) [-5020.802] (-5033.313) * (-5040.234) (-5043.478) [-5038.006] (-5030.670) -- 0:04:56
Average standard deviation of split frequencies: 0.009880
726000 -- [-5033.906] (-5040.554) (-5025.183) (-5043.068) * (-5028.355) (-5036.240) [-5021.093] (-5025.587) -- 0:04:55
727000 -- (-5033.230) (-5032.495) (-5029.666) [-5027.244] * (-5030.897) [-5030.919] (-5037.585) (-5029.301) -- 0:04:54
728000 -- (-5045.756) (-5028.568) [-5015.371] (-5033.891) * (-5025.944) (-5032.534) (-5025.083) [-5025.985] -- 0:04:53
729000 -- (-5032.828) (-5036.231) [-5026.169] (-5022.627) * (-5026.631) (-5039.792) [-5022.342] (-5034.330) -- 0:04:52
730000 -- (-5035.929) (-5040.256) [-5011.138] (-5034.428) * (-5027.968) (-5039.833) [-5020.273] (-5030.215) -- 0:04:52
Average standard deviation of split frequencies: 0.009767
731000 -- (-5025.425) (-5041.574) [-5008.649] (-5035.489) * [-5017.090] (-5009.037) (-5028.290) (-5050.922) -- 0:04:51
732000 -- (-5050.370) (-5025.882) [-5027.932] (-5028.846) * (-5036.064) [-5011.259] (-5023.916) (-5023.409) -- 0:04:50
733000 -- (-5038.672) (-5026.057) [-5017.810] (-5031.302) * (-5044.146) (-5025.634) [-5014.120] (-5036.101) -- 0:04:49
734000 -- (-5034.740) (-5026.426) [-5028.981] (-5041.469) * [-5027.939] (-5040.018) (-5024.495) (-5046.675) -- 0:04:48
735000 -- [-5028.215] (-5028.092) (-5035.134) (-5020.877) * [-5018.115] (-5026.254) (-5040.692) (-5040.245) -- 0:04:47
Average standard deviation of split frequencies: 0.009302
736000 -- [-5011.908] (-5027.710) (-5031.297) (-5027.111) * [-5024.112] (-5048.434) (-5036.247) (-5058.950) -- 0:04:46
737000 -- [-5030.774] (-5024.673) (-5026.183) (-5025.584) * [-5016.153] (-5031.063) (-5035.636) (-5047.392) -- 0:04:45
738000 -- (-5030.015) (-5024.435) (-5031.621) [-5019.868] * (-5021.879) [-5032.431] (-5038.961) (-5034.338) -- 0:04:44
739000 -- [-5032.179] (-5026.158) (-5040.674) (-5021.869) * (-5022.816) [-5032.696] (-5040.179) (-5031.110) -- 0:04:43
740000 -- (-5021.163) (-5029.461) (-5048.359) [-5022.533] * [-5022.820] (-5023.070) (-5039.214) (-5027.806) -- 0:04:42
Average standard deviation of split frequencies: 0.009428
741000 -- [-5021.826] (-5023.652) (-5023.308) (-5024.576) * [-5022.779] (-5017.153) (-5030.108) (-5023.057) -- 0:04:41
742000 -- (-5032.432) [-5039.253] (-5031.742) (-5021.056) * (-5024.645) (-5039.725) (-5021.305) [-5018.974] -- 0:04:40
743000 -- (-5016.188) (-5036.852) (-5035.872) [-5032.453] * (-5032.868) (-5036.695) [-5014.765] (-5044.566) -- 0:04:39
744000 -- [-5016.409] (-5035.479) (-5030.815) (-5039.664) * [-5022.117] (-5023.560) (-5052.790) (-5025.927) -- 0:04:38
745000 -- (-5022.961) [-5022.227] (-5022.465) (-5039.429) * (-5017.878) (-5034.538) (-5041.401) [-5037.449] -- 0:04:37
Average standard deviation of split frequencies: 0.009693
746000 -- (-5053.329) (-5027.437) [-5016.908] (-5054.852) * [-5014.007] (-5036.667) (-5014.137) (-5028.913) -- 0:04:36
747000 -- (-5056.463) (-5025.101) (-5039.665) [-5035.402] * (-5036.502) (-5049.515) (-5023.505) [-5020.657] -- 0:04:35
748000 -- (-5027.435) (-5026.143) [-5027.532] (-5028.275) * (-5037.204) (-5045.718) [-5021.796] (-5031.491) -- 0:04:34
749000 -- (-5031.810) (-5027.093) (-5026.334) [-5036.410] * (-5032.476) (-5043.892) (-5041.344) [-5016.392] -- 0:04:33
750000 -- (-5028.956) (-5031.837) (-5026.177) [-5029.734] * (-5030.489) (-5032.355) [-5016.731] (-5033.127) -- 0:04:32
Average standard deviation of split frequencies: 0.009557
751000 -- (-5024.519) (-5040.170) [-5024.423] (-5041.724) * (-5027.876) (-5042.485) (-5039.876) [-5020.707] -- 0:04:31
752000 -- [-5027.274] (-5027.875) (-5031.090) (-5051.012) * [-5021.927] (-5042.094) (-5035.774) (-5033.515) -- 0:04:30
753000 -- (-5016.889) [-5017.264] (-5029.497) (-5039.278) * (-5038.252) (-5038.037) [-5025.329] (-5030.616) -- 0:04:29
754000 -- [-5034.147] (-5020.051) (-5031.783) (-5035.728) * (-5027.040) (-5025.749) [-5020.964] (-5044.366) -- 0:04:28
755000 -- (-5028.576) [-5024.977] (-5040.044) (-5039.057) * (-5043.915) [-5017.472] (-5017.812) (-5031.006) -- 0:04:28
Average standard deviation of split frequencies: 0.009665
756000 -- (-5027.237) (-5019.667) (-5040.764) [-5014.462] * (-5034.454) (-5028.728) (-5032.222) [-5019.869] -- 0:04:27
757000 -- (-5029.891) (-5033.379) (-5038.581) [-5029.739] * (-5026.594) (-5019.941) (-5045.060) [-5034.526] -- 0:04:26
758000 -- (-5039.304) [-5028.203] (-5038.186) (-5031.006) * [-5029.629] (-5030.322) (-5033.011) (-5025.969) -- 0:04:25
759000 -- (-5032.999) (-5025.539) (-5025.792) [-5012.517] * (-5028.756) [-5030.276] (-5020.890) (-5041.263) -- 0:04:24
760000 -- (-5022.850) (-5031.603) (-5033.607) [-5020.917] * (-5020.969) (-5038.204) [-5025.484] (-5033.811) -- 0:04:23
Average standard deviation of split frequencies: 0.009519
761000 -- (-5019.868) (-5033.165) [-5025.208] (-5033.020) * [-5027.150] (-5041.929) (-5023.964) (-5033.019) -- 0:04:22
762000 -- (-5024.026) (-5037.707) [-5026.170] (-5045.925) * (-5021.402) [-5039.411] (-5045.943) (-5036.377) -- 0:04:21
763000 -- [-5032.927] (-5026.012) (-5031.429) (-5039.142) * (-5046.616) (-5025.123) (-5041.156) [-5035.988] -- 0:04:20
764000 -- (-5027.445) (-5023.757) (-5051.113) [-5020.961] * (-5042.273) (-5036.031) [-5026.672] (-5026.187) -- 0:04:19
765000 -- (-5039.184) [-5020.288] (-5034.031) (-5035.769) * (-5032.452) (-5040.053) (-5037.108) [-5018.704] -- 0:04:18
Average standard deviation of split frequencies: 0.009568
766000 -- [-5027.198] (-5029.232) (-5029.305) (-5021.389) * (-5031.677) (-5023.904) (-5033.413) [-5023.496] -- 0:04:17
767000 -- (-5047.564) (-5030.170) [-5018.603] (-5033.748) * (-5029.650) (-5025.875) (-5039.767) [-5023.011] -- 0:04:16
768000 -- (-5033.267) (-5026.103) [-5017.088] (-5039.141) * [-5037.834] (-5034.905) (-5030.626) (-5043.496) -- 0:04:15
769000 -- (-5032.269) [-5021.303] (-5038.799) (-5047.667) * (-5040.771) (-5027.781) [-5015.716] (-5035.391) -- 0:04:14
770000 -- [-5029.455] (-5033.143) (-5044.283) (-5039.232) * (-5032.867) [-5020.065] (-5028.195) (-5034.230) -- 0:04:13
Average standard deviation of split frequencies: 0.009586
771000 -- (-5026.994) (-5039.038) (-5066.053) [-5020.138] * (-5029.998) (-5030.904) (-5037.326) [-5028.365] -- 0:04:12
772000 -- (-5032.552) (-5052.585) (-5070.009) [-5015.022] * (-5035.947) (-5044.325) (-5030.373) [-5030.196] -- 0:04:11
773000 -- (-5026.475) (-5039.206) (-5040.243) [-5023.877] * [-5017.402] (-5036.954) (-5029.787) (-5045.008) -- 0:04:10
774000 -- (-5033.584) (-5050.930) [-5029.502] (-5025.020) * (-5039.329) (-5025.793) [-5026.798] (-5044.211) -- 0:04:09
775000 -- (-5034.541) (-5038.720) [-5015.483] (-5043.292) * (-5028.947) (-5033.357) [-5014.085] (-5040.385) -- 0:04:08
Average standard deviation of split frequencies: 0.009511
776000 -- (-5043.391) [-5012.123] (-5029.759) (-5031.010) * (-5031.164) (-5032.712) [-5029.150] (-5049.901) -- 0:04:07
777000 -- (-5031.236) [-5023.687] (-5037.724) (-5030.946) * (-5026.196) (-5027.768) (-5035.835) [-5029.742] -- 0:04:06
778000 -- (-5034.244) (-5029.988) [-5029.209] (-5029.386) * (-5036.162) [-5014.455] (-5038.242) (-5037.626) -- 0:04:05
779000 -- (-5043.464) [-5021.055] (-5023.509) (-5035.091) * (-5052.378) (-5035.883) [-5023.905] (-5042.112) -- 0:04:03
780000 -- (-5044.579) [-5021.180] (-5022.206) (-5034.642) * (-5024.471) (-5032.496) (-5031.288) [-5033.034] -- 0:04:02
Average standard deviation of split frequencies: 0.009416
781000 -- (-5041.771) [-5024.333] (-5047.451) (-5025.028) * (-5030.035) (-5030.375) (-5035.541) [-5025.685] -- 0:04:01
782000 -- (-5024.231) (-5038.818) (-5057.545) [-5035.630] * (-5026.237) (-5025.208) (-5045.294) [-5026.032] -- 0:04:00
783000 -- (-5023.809) (-5028.073) (-5033.074) [-5025.083] * [-5024.348] (-5031.937) (-5045.052) (-5039.226) -- 0:03:59
784000 -- (-5041.540) [-5018.302] (-5016.481) (-5023.803) * (-5042.951) (-5034.596) [-5021.615] (-5028.856) -- 0:03:58
785000 -- (-5063.365) (-5028.349) (-5035.883) [-5027.002] * (-5025.128) (-5055.135) (-5044.571) [-5030.536] -- 0:03:57
Average standard deviation of split frequencies: 0.009343
786000 -- (-5044.119) [-5011.861] (-5042.847) (-5020.548) * (-5032.625) (-5047.032) [-5033.392] (-5041.040) -- 0:03:56
787000 -- (-5039.438) [-5035.495] (-5037.508) (-5033.050) * (-5038.886) (-5030.008) [-5036.052] (-5021.318) -- 0:03:54
788000 -- (-5021.530) (-5028.263) [-5028.087] (-5047.207) * (-5046.993) (-5028.836) (-5037.720) [-5029.779] -- 0:03:53
789000 -- (-5033.552) (-5040.219) [-5034.793] (-5026.663) * [-5031.981] (-5031.200) (-5040.617) (-5033.355) -- 0:03:52
790000 -- (-5021.761) (-5038.754) (-5031.542) [-5024.032] * (-5028.757) [-5027.415] (-5039.451) (-5023.303) -- 0:03:51
Average standard deviation of split frequencies: 0.009381
791000 -- [-5027.070] (-5041.688) (-5030.638) (-5016.930) * (-5024.956) (-5028.444) (-5050.985) [-5020.945] -- 0:03:50
792000 -- [-5027.037] (-5033.690) (-5038.746) (-5025.616) * (-5034.341) [-5026.133] (-5046.930) (-5019.806) -- 0:03:49
793000 -- [-5023.328] (-5027.093) (-5039.338) (-5025.971) * (-5046.887) [-5020.642] (-5056.099) (-5028.430) -- 0:03:48
794000 -- (-5045.202) (-5031.085) (-5029.746) [-5019.158] * [-5024.824] (-5028.062) (-5038.525) (-5042.614) -- 0:03:47
795000 -- (-5033.615) [-5017.569] (-5028.966) (-5030.719) * (-5030.142) [-5019.208] (-5027.155) (-5049.048) -- 0:03:45
Average standard deviation of split frequencies: 0.009374
796000 -- (-5032.913) (-5022.897) (-5041.240) [-5023.713] * (-5026.039) (-5039.898) (-5012.801) [-5044.947] -- 0:03:44
797000 -- (-5036.296) (-5017.596) (-5030.355) [-5022.191] * [-5029.770] (-5030.102) (-5018.859) (-5040.404) -- 0:03:43
798000 -- [-5025.476] (-5033.388) (-5032.057) (-5028.097) * (-5029.090) [-5026.001] (-5019.388) (-5034.203) -- 0:03:42
799000 -- (-5021.141) (-5036.784) [-5015.572] (-5031.500) * [-5022.250] (-5029.801) (-5030.634) (-5041.442) -- 0:03:41
800000 -- (-5033.527) (-5033.984) [-5018.991] (-5031.607) * (-5019.005) [-5017.015] (-5028.473) (-5040.211) -- 0:03:40
Average standard deviation of split frequencies: 0.009310
801000 -- [-5023.827] (-5037.912) (-5038.668) (-5036.837) * (-5027.785) (-5019.497) [-5018.992] (-5029.034) -- 0:03:39
802000 -- [-5030.304] (-5037.243) (-5036.060) (-5051.681) * (-5041.456) [-5014.144] (-5034.551) (-5021.138) -- 0:03:37
803000 -- [-5018.019] (-5018.068) (-5046.690) (-5037.033) * (-5040.078) [-5019.769] (-5026.016) (-5028.151) -- 0:03:36
804000 -- (-5025.963) [-5017.998] (-5034.555) (-5035.339) * (-5029.921) (-5025.582) [-5024.916] (-5046.839) -- 0:03:35
805000 -- [-5020.723] (-5026.685) (-5040.896) (-5051.526) * (-5025.070) [-5034.710] (-5018.990) (-5044.700) -- 0:03:34
Average standard deviation of split frequencies: 0.009239
806000 -- (-5032.686) [-5031.899] (-5043.431) (-5032.390) * [-5021.187] (-5022.121) (-5033.195) (-5056.157) -- 0:03:33
807000 -- [-5014.867] (-5021.150) (-5057.482) (-5031.520) * [-5013.625] (-5035.237) (-5045.762) (-5031.286) -- 0:03:32
808000 -- (-5027.358) [-5015.822] (-5045.374) (-5029.708) * (-5034.336) (-5034.736) [-5012.790] (-5034.919) -- 0:03:31
809000 -- [-5015.897] (-5014.614) (-5043.995) (-5027.566) * (-5033.931) (-5035.526) (-5030.125) [-5020.148] -- 0:03:30
810000 -- [-5031.504] (-5048.283) (-5025.288) (-5027.905) * (-5042.181) (-5031.399) (-5043.134) [-5024.643] -- 0:03:29
Average standard deviation of split frequencies: 0.009095
811000 -- (-5039.985) [-5029.963] (-5039.253) (-5031.783) * (-5024.768) [-5015.375] (-5020.562) (-5043.245) -- 0:03:28
812000 -- (-5026.600) [-5036.625] (-5037.078) (-5031.516) * (-5035.575) [-5029.604] (-5012.005) (-5021.081) -- 0:03:26
813000 -- (-5026.643) (-5038.671) (-5037.397) [-5020.855] * (-5030.962) (-5033.612) [-5022.912] (-5031.021) -- 0:03:25
814000 -- (-5029.014) (-5033.727) (-5045.779) [-5026.612] * [-5027.109] (-5020.064) (-5047.108) (-5023.458) -- 0:03:24
815000 -- (-5036.293) (-5016.423) [-5024.249] (-5039.433) * (-5035.916) (-5029.391) [-5022.446] (-5037.118) -- 0:03:23
Average standard deviation of split frequencies: 0.008909
816000 -- [-5022.855] (-5021.875) (-5027.279) (-5045.712) * [-5015.576] (-5041.800) (-5041.696) (-5030.570) -- 0:03:22
817000 -- (-5031.768) (-5027.070) [-5022.036] (-5028.576) * (-5015.836) (-5049.955) (-5034.506) [-5032.264] -- 0:03:21
818000 -- [-5022.555] (-5032.264) (-5043.964) (-5020.192) * (-5028.916) (-5028.613) [-5022.024] (-5034.725) -- 0:03:20
819000 -- [-5032.248] (-5050.706) (-5033.247) (-5013.477) * (-5044.239) [-5020.197] (-5028.276) (-5035.575) -- 0:03:19
820000 -- (-5027.869) (-5057.429) (-5034.421) [-5025.158] * (-5020.973) [-5017.446] (-5035.181) (-5041.158) -- 0:03:18
Average standard deviation of split frequencies: 0.008966
821000 -- (-5028.019) (-5037.325) (-5024.450) [-5026.047] * (-5013.098) [-5015.969] (-5057.050) (-5031.728) -- 0:03:16
822000 -- (-5022.645) (-5042.077) (-5035.520) [-5025.063] * (-5023.222) [-5023.772] (-5041.571) (-5031.230) -- 0:03:15
823000 -- (-5032.648) (-5043.772) (-5033.183) [-5018.656] * [-5025.882] (-5030.885) (-5072.711) (-5031.418) -- 0:03:14
824000 -- (-5045.969) (-5022.780) (-5038.821) [-5018.877] * (-5036.656) (-5018.963) (-5029.282) [-5027.257] -- 0:03:13
825000 -- (-5036.060) [-5024.106] (-5041.134) (-5024.595) * (-5047.749) (-5042.443) [-5023.896] (-5029.524) -- 0:03:12
Average standard deviation of split frequencies: 0.008917
826000 -- (-5029.160) (-5052.580) [-5021.141] (-5025.528) * [-5032.602] (-5033.938) (-5035.639) (-5028.522) -- 0:03:11
827000 -- (-5045.901) (-5057.849) [-5016.805] (-5035.042) * (-5030.434) [-5021.770] (-5034.487) (-5041.692) -- 0:03:10
828000 -- [-5024.635] (-5038.594) (-5028.166) (-5037.693) * [-5020.254] (-5028.312) (-5036.989) (-5030.083) -- 0:03:09
829000 -- (-5043.035) [-5018.641] (-5031.539) (-5037.776) * [-5038.713] (-5015.855) (-5041.511) (-5022.452) -- 0:03:07
830000 -- (-5041.488) [-5019.079] (-5039.133) (-5045.147) * (-5028.464) (-5037.232) (-5028.624) [-5042.899] -- 0:03:06
Average standard deviation of split frequencies: 0.008885
831000 -- (-5037.617) (-5025.009) [-5014.851] (-5039.938) * (-5030.625) (-5039.404) [-5021.440] (-5047.405) -- 0:03:05
832000 -- (-5037.078) [-5030.762] (-5026.942) (-5029.878) * (-5021.061) [-5028.832] (-5044.315) (-5041.452) -- 0:03:04
833000 -- (-5045.822) [-5025.900] (-5038.820) (-5037.599) * (-5034.938) (-5053.149) [-5020.775] (-5023.930) -- 0:03:03
834000 -- [-5019.999] (-5027.545) (-5032.943) (-5041.747) * (-5038.136) (-5042.611) [-5025.520] (-5032.993) -- 0:03:02
835000 -- [-5032.210] (-5036.375) (-5039.500) (-5051.980) * (-5053.925) (-5039.384) (-5033.390) [-5034.516] -- 0:03:01
Average standard deviation of split frequencies: 0.009049
836000 -- (-5038.132) (-5027.063) (-5026.580) [-5030.832] * (-5028.572) [-5021.567] (-5028.872) (-5039.804) -- 0:03:00
837000 -- [-5018.429] (-5036.824) (-5025.342) (-5035.026) * (-5024.447) (-5035.226) [-5029.357] (-5040.425) -- 0:02:59
838000 -- [-5032.427] (-5042.426) (-5020.569) (-5029.966) * (-5029.087) [-5025.705] (-5033.492) (-5030.534) -- 0:02:58
839000 -- (-5032.554) (-5023.737) (-5042.570) [-5024.615] * (-5029.857) (-5041.624) [-5022.185] (-5046.720) -- 0:02:57
840000 -- (-5045.143) [-5017.282] (-5046.143) (-5037.190) * [-5027.962] (-5026.403) (-5020.590) (-5034.149) -- 0:02:56
Average standard deviation of split frequencies: 0.008946
841000 -- (-5048.228) (-5030.304) [-5032.376] (-5035.575) * [-5016.786] (-5035.236) (-5030.342) (-5036.639) -- 0:02:55
842000 -- [-5029.165] (-5041.004) (-5017.454) (-5026.160) * (-5030.881) (-5051.867) [-5020.203] (-5029.944) -- 0:02:54
843000 -- (-5045.674) (-5032.416) (-5027.991) [-5017.428] * (-5031.077) (-5044.318) [-5025.159] (-5017.507) -- 0:02:53
844000 -- (-5040.519) [-5014.488] (-5025.554) (-5029.641) * (-5039.291) (-5035.124) [-5036.324] (-5037.356) -- 0:02:52
845000 -- (-5043.382) [-5027.347] (-5033.822) (-5030.137) * (-5038.431) (-5053.266) (-5025.617) [-5029.620] -- 0:02:51
Average standard deviation of split frequencies: 0.008907
846000 -- (-5027.412) (-5043.964) [-5019.187] (-5036.208) * (-5033.358) (-5039.575) [-5031.521] (-5040.368) -- 0:02:50
847000 -- (-5039.191) (-5020.174) [-5013.738] (-5034.399) * (-5030.015) (-5038.999) [-5016.971] (-5043.554) -- 0:02:49
848000 -- (-5048.205) (-5026.063) [-5022.795] (-5042.319) * [-5022.867] (-5048.878) (-5015.644) (-5018.018) -- 0:02:48
849000 -- (-5043.836) (-5024.626) [-5021.203] (-5034.814) * (-5018.515) (-5036.357) [-5022.305] (-5030.570) -- 0:02:47
850000 -- (-5031.770) (-5036.967) (-5071.750) [-5020.148] * (-5020.391) (-5033.535) (-5025.665) [-5023.140] -- 0:02:46
Average standard deviation of split frequencies: 0.008796
851000 -- (-5040.125) (-5059.835) [-5032.904] (-5021.900) * (-5027.329) (-5046.802) [-5033.880] (-5030.751) -- 0:02:44
852000 -- (-5037.414) (-5036.004) [-5016.822] (-5033.449) * (-5040.228) [-5032.761] (-5031.194) (-5022.612) -- 0:02:43
853000 -- (-5025.580) (-5052.084) (-5027.172) [-5017.275] * (-5036.084) (-5041.805) [-5018.134] (-5035.199) -- 0:02:42
854000 -- (-5028.611) (-5046.562) [-5021.937] (-5031.461) * [-5015.906] (-5029.988) (-5039.477) (-5023.143) -- 0:02:41
855000 -- (-5022.696) (-5028.324) [-5022.666] (-5044.140) * (-5027.782) (-5035.361) [-5018.731] (-5028.636) -- 0:02:40
Average standard deviation of split frequencies: 0.008785
856000 -- (-5043.706) (-5025.836) [-5020.043] (-5063.675) * [-5023.353] (-5032.158) (-5030.710) (-5033.533) -- 0:02:39
857000 -- [-5017.936] (-5034.005) (-5034.349) (-5034.706) * (-5021.691) (-5031.522) [-5030.245] (-5034.626) -- 0:02:38
858000 -- (-5025.224) [-5040.055] (-5022.376) (-5052.316) * [-5019.287] (-5027.168) (-5033.955) (-5027.549) -- 0:02:37
859000 -- [-5021.597] (-5060.036) (-5026.383) (-5039.753) * (-5021.779) [-5020.147] (-5041.879) (-5036.528) -- 0:02:35
860000 -- [-5020.846] (-5068.407) (-5045.210) (-5049.289) * [-5012.237] (-5049.290) (-5037.986) (-5047.884) -- 0:02:34
Average standard deviation of split frequencies: 0.008903
861000 -- [-5022.153] (-5068.479) (-5039.136) (-5050.696) * [-5020.884] (-5025.522) (-5042.415) (-5029.576) -- 0:02:33
862000 -- (-5054.485) (-5043.869) (-5019.981) [-5035.046] * (-5030.032) [-5022.529] (-5028.312) (-5035.376) -- 0:02:32
863000 -- (-5039.414) (-5041.874) (-5043.013) [-5021.081] * [-5018.719] (-5019.425) (-5016.054) (-5040.275) -- 0:02:31
864000 -- [-5027.785] (-5027.224) (-5017.576) (-5027.710) * [-5024.578] (-5025.544) (-5015.690) (-5046.650) -- 0:02:30
865000 -- (-5036.963) (-5032.161) (-5016.906) [-5014.528] * (-5028.303) (-5030.654) [-5042.264] (-5045.143) -- 0:02:29
Average standard deviation of split frequencies: 0.008891
866000 -- (-5036.233) [-5018.899] (-5021.657) (-5037.268) * (-5049.219) (-5052.837) (-5034.738) [-5026.121] -- 0:02:28
867000 -- (-5051.210) [-5016.985] (-5020.895) (-5048.601) * (-5041.227) (-5053.386) (-5026.381) [-5020.310] -- 0:02:27
868000 -- [-5043.546] (-5025.077) (-5033.571) (-5025.545) * (-5024.838) (-5054.097) (-5023.615) [-5030.451] -- 0:02:26
869000 -- (-5046.676) (-5030.726) [-5031.826] (-5035.378) * (-5025.453) (-5035.742) [-5026.855] (-5036.657) -- 0:02:25
870000 -- (-5044.208) [-5021.597] (-5024.157) (-5022.567) * (-5041.679) (-5047.280) (-5037.826) [-5025.662] -- 0:02:24
Average standard deviation of split frequencies: 0.008783
871000 -- [-5029.712] (-5026.192) (-5034.653) (-5034.074) * (-5035.567) (-5027.106) (-5047.537) [-5025.822] -- 0:02:23
872000 -- (-5033.140) (-5031.430) [-5015.821] (-5027.767) * (-5022.068) (-5031.776) (-5038.193) [-5021.683] -- 0:02:22
873000 -- [-5016.776] (-5028.521) (-5042.092) (-5035.835) * (-5027.331) (-5028.681) [-5020.458] (-5028.283) -- 0:02:21
874000 -- (-5027.957) (-5042.030) (-5038.412) [-5023.150] * (-5023.545) (-5026.691) [-5013.007] (-5035.761) -- 0:02:19
875000 -- (-5038.833) (-5039.351) (-5033.168) [-5018.137] * (-5038.268) [-5026.056] (-5033.493) (-5035.483) -- 0:02:18
Average standard deviation of split frequencies: 0.008995
876000 -- [-5019.536] (-5030.873) (-5041.350) (-5023.754) * (-5027.135) [-5021.015] (-5038.542) (-5036.652) -- 0:02:17
877000 -- (-5028.498) (-5039.931) (-5051.451) [-5023.759] * [-5029.001] (-5024.630) (-5039.910) (-5030.918) -- 0:02:16
878000 -- [-5032.176] (-5063.027) (-5034.908) (-5036.736) * (-5033.551) [-5020.695] (-5040.659) (-5041.173) -- 0:02:15
879000 -- [-5037.547] (-5019.421) (-5031.890) (-5036.320) * [-5033.574] (-5031.047) (-5042.456) (-5034.544) -- 0:02:14
880000 -- [-5032.064] (-5029.121) (-5042.492) (-5030.071) * [-5028.062] (-5032.376) (-5027.831) (-5039.421) -- 0:02:13
Average standard deviation of split frequencies: 0.008870
881000 -- (-5034.953) [-5015.693] (-5032.303) (-5029.722) * (-5032.743) [-5011.411] (-5034.525) (-5034.045) -- 0:02:12
882000 -- (-5020.985) (-5015.543) [-5024.742] (-5046.720) * [-5022.426] (-5024.378) (-5044.045) (-5029.924) -- 0:02:11
883000 -- (-5032.255) (-5021.284) (-5021.051) [-5031.457] * [-5026.849] (-5030.956) (-5028.306) (-5044.931) -- 0:02:09
884000 -- (-5037.715) (-5020.985) (-5048.711) [-5040.108] * (-5037.792) (-5049.860) [-5024.689] (-5041.217) -- 0:02:08
885000 -- (-5043.187) [-5013.766] (-5056.401) (-5033.593) * [-5013.829] (-5031.735) (-5032.897) (-5027.346) -- 0:02:07
Average standard deviation of split frequencies: 0.008995
886000 -- (-5060.252) [-5024.186] (-5024.274) (-5028.855) * [-5020.382] (-5040.053) (-5044.062) (-5040.956) -- 0:02:06
887000 -- [-5027.263] (-5029.537) (-5047.900) (-5028.201) * [-5026.666] (-5031.592) (-5023.119) (-5026.545) -- 0:02:05
888000 -- [-5024.569] (-5027.573) (-5024.982) (-5040.548) * (-5056.369) (-5039.538) (-5027.270) [-5015.302] -- 0:02:04
889000 -- (-5022.066) (-5044.126) (-5037.711) [-5026.467] * [-5018.895] (-5029.240) (-5043.831) (-5025.235) -- 0:02:03
890000 -- (-5011.905) (-5031.086) (-5042.954) [-5032.592] * [-5009.256] (-5030.282) (-5033.952) (-5046.246) -- 0:02:02
Average standard deviation of split frequencies: 0.008998
891000 -- (-5036.510) [-5016.014] (-5035.259) (-5034.641) * [-5018.021] (-5034.862) (-5046.848) (-5038.945) -- 0:02:00
892000 -- (-5031.568) [-5022.334] (-5047.066) (-5038.600) * [-5021.456] (-5052.718) (-5020.769) (-5032.355) -- 0:01:59
893000 -- (-5053.070) (-5023.413) (-5042.861) [-5030.363] * (-5036.870) (-5039.771) [-5026.772] (-5025.875) -- 0:01:58
894000 -- (-5038.881) (-5029.970) (-5040.157) [-5019.819] * (-5031.677) (-5051.019) [-5022.371] (-5044.014) -- 0:01:57
895000 -- (-5020.406) (-5036.096) (-5048.124) [-5020.427] * (-5021.869) (-5032.867) [-5009.970] (-5021.008) -- 0:01:56
Average standard deviation of split frequencies: 0.008936
896000 -- (-5035.260) (-5027.115) (-5037.925) [-5031.626] * [-5031.145] (-5030.232) (-5045.801) (-5034.116) -- 0:01:55
897000 -- [-5033.296] (-5040.077) (-5048.952) (-5019.898) * (-5029.030) [-5018.654] (-5054.778) (-5035.831) -- 0:01:54
898000 -- (-5051.009) (-5031.790) (-5036.374) [-5021.505] * (-5020.880) [-5022.952] (-5033.371) (-5047.107) -- 0:01:53
899000 -- (-5040.161) (-5023.868) (-5038.803) [-5028.435] * (-5023.507) (-5045.824) (-5040.289) [-5026.947] -- 0:01:52
900000 -- (-5032.009) (-5036.760) (-5036.697) [-5017.780] * [-5030.735] (-5039.343) (-5044.256) (-5037.583) -- 0:01:50
Average standard deviation of split frequencies: 0.008947
901000 -- [-5023.182] (-5041.696) (-5031.649) (-5030.243) * [-5021.763] (-5037.224) (-5052.931) (-5023.653) -- 0:01:49
902000 -- (-5031.878) [-5025.051] (-5031.724) (-5028.460) * (-5033.070) (-5030.868) (-5058.563) [-5023.677] -- 0:01:48
903000 -- (-5035.979) (-5017.883) [-5020.887] (-5051.062) * [-5029.390] (-5026.702) (-5046.176) (-5022.946) -- 0:01:47
904000 -- (-5026.725) (-5028.890) (-5045.027) [-5037.398] * [-5023.068] (-5032.628) (-5040.391) (-5031.343) -- 0:01:46
905000 -- (-5032.763) [-5020.817] (-5036.738) (-5038.903) * [-5022.390] (-5029.438) (-5040.835) (-5037.590) -- 0:01:45
Average standard deviation of split frequencies: 0.008764
906000 -- (-5032.815) [-5025.639] (-5057.407) (-5053.291) * [-5020.266] (-5023.210) (-5024.894) (-5036.335) -- 0:01:44
907000 -- (-5056.919) [-5018.291] (-5023.674) (-5034.445) * [-5026.262] (-5029.385) (-5036.333) (-5028.569) -- 0:01:43
908000 -- (-5038.902) [-5023.512] (-5046.631) (-5024.172) * (-5020.938) [-5023.388] (-5029.427) (-5052.654) -- 0:01:41
909000 -- (-5026.924) [-5029.478] (-5038.891) (-5026.455) * [-5026.268] (-5047.538) (-5031.001) (-5030.562) -- 0:01:40
910000 -- (-5041.319) [-5020.453] (-5063.722) (-5028.307) * (-5029.039) (-5059.537) [-5033.037] (-5029.504) -- 0:01:39
Average standard deviation of split frequencies: 0.008554
911000 -- (-5024.375) [-5027.532] (-5074.812) (-5029.935) * (-5015.180) (-5040.589) [-5025.008] (-5035.833) -- 0:01:38
912000 -- (-5028.220) [-5020.465] (-5051.717) (-5021.520) * [-5021.463] (-5023.362) (-5025.378) (-5049.609) -- 0:01:37
913000 -- (-5022.000) [-5019.715] (-5033.245) (-5023.475) * [-5016.627] (-5037.448) (-5031.978) (-5034.250) -- 0:01:36
914000 -- (-5049.451) (-5019.899) [-5014.645] (-5021.368) * (-5020.487) (-5036.771) (-5033.132) [-5016.597] -- 0:01:35
915000 -- [-5018.808] (-5028.179) (-5031.959) (-5045.122) * (-5038.828) (-5039.445) (-5038.288) [-5022.509] -- 0:01:34
Average standard deviation of split frequencies: 0.008201
916000 -- (-5042.343) (-5027.001) [-5023.017] (-5030.847) * (-5032.827) (-5036.342) [-5034.952] (-5026.201) -- 0:01:32
917000 -- (-5054.819) [-5022.923] (-5022.210) (-5036.353) * [-5024.753] (-5024.892) (-5049.118) (-5035.429) -- 0:01:31
918000 -- (-5041.450) [-5014.154] (-5042.041) (-5025.866) * (-5049.005) [-5021.550] (-5030.093) (-5027.533) -- 0:01:30
919000 -- (-5028.648) (-5021.541) [-5028.880] (-5031.456) * (-5026.050) (-5044.781) (-5055.856) [-5026.338] -- 0:01:29
920000 -- (-5044.297) (-5030.755) (-5038.115) [-5029.471] * (-5033.234) (-5042.467) [-5020.538] (-5019.467) -- 0:01:28
Average standard deviation of split frequencies: 0.008176
921000 -- (-5046.873) (-5025.137) (-5039.546) [-5021.080] * (-5032.610) (-5016.458) (-5024.465) [-5018.153] -- 0:01:27
922000 -- (-5045.472) [-5017.405] (-5040.753) (-5020.229) * (-5041.100) (-5043.109) (-5025.638) [-5018.262] -- 0:01:26
923000 -- (-5025.424) (-5036.670) (-5043.656) [-5015.142] * [-5026.572] (-5034.701) (-5042.629) (-5029.412) -- 0:01:25
924000 -- (-5035.980) (-5045.118) (-5031.854) [-5018.881] * (-5035.442) [-5015.416] (-5033.733) (-5036.328) -- 0:01:24
925000 -- (-5053.653) [-5021.979] (-5032.791) (-5041.996) * (-5034.569) (-5036.665) [-5033.117] (-5039.217) -- 0:01:22
Average standard deviation of split frequencies: 0.008320
926000 -- [-5016.798] (-5037.951) (-5041.928) (-5033.493) * (-5045.167) (-5036.622) (-5018.923) [-5025.584] -- 0:01:21
927000 -- [-5025.797] (-5045.772) (-5043.101) (-5037.330) * (-5034.568) (-5038.591) (-5023.007) [-5024.210] -- 0:01:20
928000 -- (-5034.335) (-5045.509) [-5030.264] (-5028.485) * (-5047.067) (-5035.954) [-5023.834] (-5024.549) -- 0:01:19
929000 -- (-5037.471) [-5029.800] (-5033.210) (-5010.741) * (-5041.695) (-5030.314) (-5036.788) [-5030.371] -- 0:01:18
930000 -- (-5045.338) (-5033.710) [-5029.540] (-5025.799) * (-5052.282) [-5024.547] (-5028.989) (-5024.563) -- 0:01:17
Average standard deviation of split frequencies: 0.008032
931000 -- (-5049.971) [-5016.367] (-5033.656) (-5028.142) * (-5031.954) (-5031.879) [-5026.846] (-5028.796) -- 0:01:16
932000 -- (-5042.047) (-5037.935) [-5020.866] (-5061.347) * (-5045.421) [-5012.352] (-5030.202) (-5054.839) -- 0:01:15
933000 -- (-5027.801) (-5033.827) [-5023.840] (-5029.600) * (-5041.091) (-5022.906) [-5018.002] (-5023.491) -- 0:01:14
934000 -- (-5042.882) [-5015.047] (-5032.809) (-5050.544) * [-5038.118] (-5041.426) (-5034.259) (-5025.599) -- 0:01:12
935000 -- (-5026.873) [-5016.625] (-5043.494) (-5031.656) * (-5034.447) [-5031.849] (-5028.023) (-5026.391) -- 0:01:11
Average standard deviation of split frequencies: 0.007898
936000 -- [-5023.127] (-5041.655) (-5032.915) (-5035.383) * [-5030.582] (-5043.485) (-5051.531) (-5027.870) -- 0:01:10
937000 -- [-5026.487] (-5032.536) (-5025.337) (-5048.955) * (-5027.733) (-5041.141) (-5026.163) [-5024.690] -- 0:01:09
938000 -- (-5040.551) (-5037.095) [-5025.691] (-5033.659) * (-5034.995) [-5018.542] (-5049.296) (-5023.359) -- 0:01:08
939000 -- [-5026.244] (-5031.263) (-5042.068) (-5026.014) * (-5043.144) (-5028.675) (-5033.365) [-5030.308] -- 0:01:07
940000 -- [-5027.484] (-5039.783) (-5056.321) (-5034.051) * [-5025.234] (-5046.827) (-5036.233) (-5012.311) -- 0:01:06
Average standard deviation of split frequencies: 0.007764
941000 -- (-5023.862) (-5032.448) (-5047.734) [-5013.731] * (-5019.987) (-5047.026) [-5019.715] (-5022.837) -- 0:01:05
942000 -- (-5036.349) (-5038.865) (-5028.540) [-5020.623] * (-5024.193) (-5034.801) (-5026.780) [-5019.459] -- 0:01:04
943000 -- (-5041.774) (-5029.923) (-5041.248) [-5025.834] * [-5022.836] (-5028.210) (-5027.691) (-5029.468) -- 0:01:02
944000 -- (-5036.370) [-5018.490] (-5026.380) (-5035.578) * (-5023.387) (-5033.352) [-5019.559] (-5032.989) -- 0:01:01
945000 -- (-5035.358) [-5030.170] (-5029.843) (-5041.277) * (-5022.069) (-5053.043) (-5027.310) [-5033.072] -- 0:01:00
Average standard deviation of split frequencies: 0.007918
946000 -- (-5053.450) [-5021.986] (-5031.273) (-5070.342) * (-5026.277) (-5041.318) [-5028.320] (-5014.873) -- 0:00:59
947000 -- (-5033.985) (-5035.799) (-5029.269) [-5023.403] * (-5034.321) (-5035.848) [-5015.171] (-5037.883) -- 0:00:58
948000 -- (-5027.562) [-5031.665] (-5028.927) (-5028.871) * (-5024.372) (-5033.704) [-5020.256] (-5036.910) -- 0:00:57
949000 -- (-5024.469) [-5042.325] (-5030.360) (-5042.272) * (-5045.185) (-5027.134) (-5036.403) [-5008.899] -- 0:00:56
950000 -- [-5020.960] (-5033.535) (-5034.923) (-5044.231) * (-5031.760) (-5024.186) (-5041.331) [-5019.895] -- 0:00:55
Average standard deviation of split frequencies: 0.008060
951000 -- (-5024.028) [-5032.937] (-5021.255) (-5045.678) * (-5034.106) [-5015.375] (-5021.784) (-5034.442) -- 0:00:54
952000 -- [-5025.859] (-5031.433) (-5032.976) (-5046.380) * (-5031.673) (-5022.952) [-5031.988] (-5029.959) -- 0:00:52
953000 -- (-5039.866) (-5031.654) (-5032.819) [-5021.087] * (-5049.266) (-5032.779) [-5022.333] (-5016.526) -- 0:00:51
954000 -- (-5041.174) [-5025.160] (-5044.981) (-5031.830) * (-5032.736) (-5033.597) [-5023.763] (-5029.956) -- 0:00:50
955000 -- (-5017.691) [-5038.801] (-5025.380) (-5040.414) * (-5035.862) (-5038.308) [-5017.617] (-5033.357) -- 0:00:49
Average standard deviation of split frequencies: 0.007897
956000 -- (-5029.594) (-5039.557) [-5026.724] (-5041.915) * [-5032.160] (-5041.239) (-5020.813) (-5032.250) -- 0:00:48
957000 -- (-5035.079) (-5039.639) (-5037.440) [-5033.017] * (-5051.827) (-5031.217) [-5020.824] (-5036.823) -- 0:00:47
958000 -- (-5048.889) (-5042.902) [-5029.991] (-5031.156) * (-5034.619) [-5029.850] (-5045.893) (-5035.673) -- 0:00:46
959000 -- (-5048.937) (-5021.350) [-5020.539] (-5039.362) * [-5030.735] (-5035.102) (-5026.562) (-5052.482) -- 0:00:45
960000 -- (-5033.194) (-5035.723) (-5045.604) [-5029.454] * (-5029.874) (-5044.926) [-5025.599] (-5044.348) -- 0:00:44
Average standard deviation of split frequencies: 0.007758
961000 -- (-5030.564) (-5028.946) [-5022.128] (-5029.351) * (-5035.722) [-5035.805] (-5032.923) (-5030.531) -- 0:00:42
962000 -- (-5022.230) (-5036.118) [-5021.465] (-5025.473) * (-5054.319) (-5025.651) (-5028.636) [-5025.130] -- 0:00:41
963000 -- (-5026.837) (-5038.458) (-5026.128) [-5014.152] * [-5028.833] (-5031.928) (-5042.306) (-5015.380) -- 0:00:40
964000 -- (-5031.296) (-5048.153) [-5033.525] (-5041.772) * (-5045.070) [-5035.172] (-5030.803) (-5031.666) -- 0:00:39
965000 -- (-5031.837) (-5019.782) [-5021.537] (-5033.150) * (-5041.559) [-5046.365] (-5031.667) (-5037.408) -- 0:00:38
Average standard deviation of split frequencies: 0.007622
966000 -- [-5019.463] (-5019.783) (-5035.129) (-5047.915) * (-5048.316) (-5017.861) [-5034.674] (-5035.230) -- 0:00:37
967000 -- (-5033.889) (-5032.698) (-5048.207) [-5032.803] * (-5038.256) (-5019.961) [-5019.256] (-5037.105) -- 0:00:36
968000 -- (-5026.097) [-5027.043] (-5042.635) (-5041.612) * (-5039.567) [-5014.748] (-5020.339) (-5024.639) -- 0:00:35
969000 -- [-5013.292] (-5023.746) (-5037.019) (-5031.944) * (-5029.897) [-5018.786] (-5021.207) (-5027.775) -- 0:00:34
970000 -- [-5017.841] (-5033.531) (-5033.054) (-5035.542) * [-5032.664] (-5037.224) (-5027.828) (-5031.411) -- 0:00:33
Average standard deviation of split frequencies: 0.007562
971000 -- (-5026.879) (-5035.959) [-5023.535] (-5047.082) * (-5021.481) (-5045.786) (-5043.376) [-5021.537] -- 0:00:31
972000 -- (-5024.112) (-5034.716) [-5018.689] (-5047.534) * [-5028.866] (-5024.686) (-5037.833) (-5029.840) -- 0:00:30
973000 -- (-5033.320) (-5028.249) [-5023.655] (-5035.157) * (-5026.874) (-5049.162) [-5030.350] (-5018.505) -- 0:00:29
974000 -- [-5015.443] (-5036.904) (-5024.247) (-5030.957) * (-5035.884) (-5019.972) [-5029.754] (-5051.444) -- 0:00:28
975000 -- (-5027.577) [-5034.380] (-5029.274) (-5036.646) * (-5030.929) (-5036.595) (-5025.772) [-5025.275] -- 0:00:27
Average standard deviation of split frequencies: 0.007490
976000 -- (-5031.216) (-5026.921) [-5037.031] (-5041.845) * (-5039.451) [-5022.979] (-5018.590) (-5038.197) -- 0:00:26
977000 -- (-5035.186) [-5024.560] (-5026.144) (-5034.424) * (-5048.517) [-5019.817] (-5035.410) (-5046.628) -- 0:00:25
978000 -- (-5052.442) [-5021.982] (-5017.896) (-5037.932) * (-5021.330) [-5029.803] (-5040.096) (-5035.171) -- 0:00:24
979000 -- (-5023.845) (-5029.378) [-5026.109] (-5048.559) * (-5020.612) [-5017.482] (-5041.708) (-5044.634) -- 0:00:23
980000 -- (-5017.195) [-5020.566] (-5029.039) (-5031.571) * [-5026.427] (-5025.766) (-5029.259) (-5042.014) -- 0:00:22
Average standard deviation of split frequencies: 0.007439
981000 -- [-5012.898] (-5019.673) (-5024.418) (-5050.459) * (-5048.896) (-5026.218) [-5023.661] (-5038.446) -- 0:00:20
982000 -- (-5024.751) (-5052.046) (-5018.928) [-5022.925] * (-5018.641) [-5012.675] (-5045.924) (-5061.947) -- 0:00:19
983000 -- (-5021.890) (-5048.251) (-5034.948) [-5020.470] * (-5034.256) (-5027.598) [-5030.915] (-5020.563) -- 0:00:18
984000 -- (-5028.494) (-5037.049) (-5049.755) [-5022.228] * [-5018.105] (-5036.433) (-5039.111) (-5045.825) -- 0:00:17
985000 -- (-5039.064) [-5027.048] (-5035.156) (-5026.081) * [-5026.077] (-5024.856) (-5028.715) (-5037.631) -- 0:00:16
Average standard deviation of split frequencies: 0.007710
986000 -- (-5029.587) (-5031.561) [-5025.499] (-5028.120) * (-5034.186) [-5025.972] (-5019.805) (-5044.469) -- 0:00:15
987000 -- (-5032.287) (-5028.430) [-5023.533] (-5025.599) * (-5039.958) [-5022.621] (-5040.550) (-5042.540) -- 0:00:14
988000 -- [-5022.675] (-5034.749) (-5022.207) (-5042.288) * [-5034.556] (-5016.690) (-5035.974) (-5054.036) -- 0:00:13
989000 -- (-5050.858) (-5034.721) (-5032.660) [-5026.452] * (-5032.354) [-5015.294] (-5039.026) (-5033.142) -- 0:00:12
990000 -- (-5039.107) (-5033.758) (-5047.874) [-5021.890] * (-5026.668) [-5023.825] (-5034.691) (-5022.814) -- 0:00:11
Average standard deviation of split frequencies: 0.007727
991000 -- (-5021.964) (-5038.911) (-5017.293) [-5032.434] * [-5016.172] (-5027.430) (-5038.945) (-5027.535) -- 0:00:09
992000 -- (-5050.232) [-5026.979] (-5018.343) (-5035.220) * (-5017.233) [-5026.434] (-5044.911) (-5028.860) -- 0:00:08
993000 -- (-5059.029) [-5022.965] (-5041.549) (-5023.763) * [-5023.742] (-5031.606) (-5057.637) (-5021.185) -- 0:00:07
994000 -- (-5039.688) (-5018.134) (-5051.242) [-5023.332] * [-5027.926] (-5025.225) (-5032.948) (-5016.440) -- 0:00:06
995000 -- (-5030.907) (-5030.379) (-5034.305) [-5018.739] * [-5022.529] (-5034.632) (-5014.948) (-5025.533) -- 0:00:05
Average standard deviation of split frequencies: 0.007400
996000 -- [-5022.103] (-5032.316) (-5025.892) (-5044.881) * (-5038.114) [-5026.788] (-5035.006) (-5041.672) -- 0:00:04
997000 -- [-5020.150] (-5034.265) (-5026.408) (-5035.862) * (-5030.908) (-5037.863) (-5020.421) [-5023.912] -- 0:00:03
998000 -- (-5027.281) [-5016.397] (-5023.706) (-5033.897) * [-5029.245] (-5032.039) (-5029.777) (-5042.032) -- 0:00:02
999000 -- (-5040.136) (-5023.878) (-5026.721) [-5028.387] * [-5030.914] (-5034.877) (-5028.819) (-5020.694) -- 0:00:01
1000000 -- (-5031.526) [-5026.045] (-5016.093) (-5046.054) * (-5050.852) (-5032.016) (-5022.953) [-5016.133] -- 0:00:00
Average standard deviation of split frequencies: 0.007508
Analysis completed in 18 mins 19 seconds
Analysis used 1097.75 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -5004.51
Likelihood of best state for "cold" chain of run 2 was -5004.85
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
47.8 % ( 41 %) Dirichlet(Revmat{all})
64.1 % ( 56 %) Slider(Revmat{all})
15.9 % ( 24 %) Dirichlet(Pi{all})
24.1 % ( 20 %) Slider(Pi{all})
51.6 % ( 23 %) Multiplier(Alpha{1,2})
52.3 % ( 25 %) Multiplier(Alpha{3})
29.9 % ( 26 %) Slider(Pinvar{all})
35.1 % ( 33 %) ExtSPR(Tau{all},V{all})
25.8 % ( 26 %) ExtTBR(Tau{all},V{all})
42.4 % ( 41 %) NNI(Tau{all},V{all})
32.9 % ( 27 %) ParsSPR(Tau{all},V{all})
27.1 % ( 21 %) Multiplier(V{all})
58.0 % ( 54 %) Nodeslider(V{all})
25.5 % ( 17 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
47.6 % ( 43 %) Dirichlet(Revmat{all})
63.6 % ( 52 %) Slider(Revmat{all})
16.0 % ( 18 %) Dirichlet(Pi{all})
24.4 % ( 30 %) Slider(Pi{all})
50.7 % ( 39 %) Multiplier(Alpha{1,2})
51.7 % ( 32 %) Multiplier(Alpha{3})
29.7 % ( 23 %) Slider(Pinvar{all})
35.9 % ( 38 %) ExtSPR(Tau{all},V{all})
25.8 % ( 22 %) ExtTBR(Tau{all},V{all})
42.3 % ( 37 %) NNI(Tau{all},V{all})
32.9 % ( 41 %) ParsSPR(Tau{all},V{all})
27.0 % ( 31 %) Multiplier(V{all})
58.0 % ( 60 %) Nodeslider(V{all})
25.4 % ( 20 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.51 0.21 0.07
2 | 166839 0.55 0.24
3 | 166967 166814 0.56
4 | 166483 166233 166664
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.52 0.21 0.07
2 | 166234 0.55 0.24
3 | 166421 166784 0.56
4 | 167264 166492 166805
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)
+------------------------------------------------------------+ -5019.90
| 2 2 |
| 2 2 |
| 2 2 1 2 2 * 1 |
| 2 2 1 2 1 2 1 1 |
| 1 2 |
| 1 1 1 * 1 21 2 1111 1 2 |
|1 1 1 12 *2*1 11 22 * 221 2 1 1 1 1|
| 2 1 22 1*1 * 2 1 1 2 12 1 12|
|2 2 2 1 2 2 2 1 1 2 2 2 11 |
| 122 1 1* 2 2 2 * |
| 2 1 2 2 2 1 2 |
| 1 2 2 |
| 1 1 |
| |
| 1 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -5029.39
^ ^
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 -5013.35 -5038.84
2 -5012.94 -5040.04
--------------------------------------
TOTAL -5013.12 -5039.61
--------------------------------------
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} 0.092014 0.000115 0.072803 0.114224 0.091313 1261.28 1381.14 1.000
r(A<->C){all} 0.034235 0.000233 0.007691 0.063920 0.031959 1025.65 1060.87 1.001
r(A<->G){all} 0.196719 0.001678 0.122818 0.282973 0.194457 620.68 706.60 1.001
r(A<->T){all} 0.067267 0.000290 0.035019 0.099295 0.065832 843.56 928.70 1.000
r(C<->G){all} 0.040166 0.000305 0.008714 0.072696 0.037726 786.83 825.87 1.002
r(C<->T){all} 0.599453 0.002289 0.505871 0.691799 0.600212 534.06 678.52 1.000
r(G<->T){all} 0.062160 0.000294 0.030479 0.095362 0.060578 961.89 1005.08 1.000
pi(A){all} 0.265486 0.000066 0.250618 0.282367 0.265509 1105.71 1143.47 1.000
pi(C){all} 0.183697 0.000051 0.169405 0.196568 0.183808 1120.48 1132.81 1.001
pi(G){all} 0.219148 0.000060 0.203650 0.233593 0.219114 1063.81 1130.94 1.000
pi(T){all} 0.331669 0.000076 0.314090 0.348188 0.331570 1048.02 1106.46 1.000
alpha{1,2} 0.131604 0.004000 0.000981 0.237670 0.130474 1016.80 1091.71 1.000
alpha{3} 2.165546 1.136093 0.601028 4.160129 1.939331 1141.61 1158.74 1.000
pinvar{all} 0.854151 0.000536 0.808894 0.897930 0.856475 696.66 795.50 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
Setting sumt conformat to Simple
Setting urn-in to 2500
Summarizing trees in files "/data/mrbayes_input.nex.run1.t" and "/data/mrbayes_input.nex.run2.t"
Using relative burnin ('relburnin=yes'), discarding the first 25 % of sampled trees
Writing statistics to files /data/mrbayes_input.nex.<parts|tstat|vstat|trprobs|con>
Examining first file ...
Found one tree block in file "/data/mrbayes_input.nex.run1.t" with 2001 trees in last block
Expecting the same number of trees in the last tree block of all files
Tree reading status:
0 10 20 30 40 50 60 70 80 90 100
v-------v-------v-------v-------v-------v-------v-------v-------v-------v-------v
*********************************************************************************
Read a total of 4002 trees in 2 files (sampling 3002 of them)
(Each file contained 2001 trees of which 1501 were sampled)
General explanation:
In an unrooted tree, a taxon bipartition (split) is specified by removing a
branch, thereby dividing the species into those to the left and those to the
right of the branch. Here, taxa to one side of the removed branch are denoted
'.' and those to the other side are denoted '*'. Specifically, the '.' symbol
is used for the taxa on the same side as the outgroup.
In a rooted or clock tree, the tree is rooted using the model and not by
reference to an outgroup. Each bipartition therefore corresponds to a clade,
that is, a group that includes all the descendants of a particular branch in
the tree. Taxa that are included in each clade are denoted using '*', and
taxa that are not included are denoted using the '.' symbol.
The output first includes a key to all the bipartitions with frequency larger
or equual to (Minpartfreq) in at least one run. Minpartfreq is a parameter to
sumt command and currently it is set to 0.10. This is followed by a table
with statistics for the informative bipartitions (those including at least
two taxa), sorted from highest to lowest probability. For each bipartition,
the table gives the number of times the partition or split was observed in all
runs (#obs) and the posterior probability of the bipartition (Probab.), which
is the same as the split frequency. If several runs are summarized, this is
followed by the minimum split frequency (Min(s)), the maximum frequency
(Max(s)), and the standard deviation of frequencies (Stddev(s)) across runs.
The latter value should approach 0 for all bipartitions as MCMC runs converge.
This is followed by a table summarizing branch lengths, node heights (if a
clock model was used) and relaxed clock parameters (if a relaxed clock model
was used). The mean, variance, and 95 % credible interval are given for each
of these parameters. If several runs are summarized, the potential scale
reduction factor (PSRF) is also given; it should approach 1 as runs converge.
Node heights will take calibration points into account, if such points were
used in the analysis.
Note that Stddev may be unreliable if the partition is not present in all
runs (the last column indicates the number of runs that sampled the partition
if more than one run is summarized). The PSRF is not calculated at all if
the partition is not present in all runs.The PSRF is also sensitive to small
sample sizes and it should only be considered a rough guide to convergence
since some of the assumptions allowing one to interpret it as a true potential
scale reduction factor are violated in MrBayes.
List of taxa in bipartitions:
1 -- C521
2 -- C322
3 -- C64
4 -- C317
5 -- C533
6 -- C328
7 -- C275
8 -- C407
9 -- C334
10 -- C449
11 -- C61
12 -- C82
13 -- C316
14 -- C255
15 -- C112
16 -- C181
17 -- C58
18 -- C290
19 -- C107
20 -- C144
21 -- C398
22 -- C136
23 -- C135
24 -- C526
25 -- C209
26 -- C425
27 -- C400
28 -- C565
29 -- C391
30 -- C270
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 -- ...*.*......*.................
------------------------------------
Summary statistics for informative taxon bipartitions
(saved to file "/data/mrbayes_input.nex.tstat"):
ID #obs Probab. Sd(s)+ Min(s) Max(s) Nruns
----------------------------------------------------------------
31 3002 1.000000 0.000000 1.000000 1.000000 2
32 2997 0.998334 0.000471 0.998001 0.998668 2
33 2997 0.998334 0.000471 0.998001 0.998668 2
34 2997 0.998334 0.000471 0.998001 0.998668 2
35 2988 0.995336 0.000942 0.994670 0.996003 2
36 2983 0.993671 0.002355 0.992005 0.995336 2
37 2977 0.991672 0.002355 0.990007 0.993338 2
38 2960 0.986009 0.004711 0.982678 0.989340 2
39 2949 0.982345 0.003298 0.980013 0.984677 2
40 2935 0.977682 0.003298 0.975350 0.980013 2
41 2704 0.900733 0.003769 0.898068 0.903398 2
42 2673 0.890406 0.004240 0.887408 0.893404 2
43 2249 0.749167 0.023083 0.732845 0.765490 2
44 2237 0.745170 0.012719 0.736176 0.754164 2
45 1980 0.659560 0.016017 0.648235 0.670886 2
46 1979 0.659227 0.005182 0.655563 0.662891 2
47 1738 0.578947 0.014133 0.568954 0.588941 2
48 1158 0.385743 0.009422 0.379081 0.392405 2
49 907 0.302132 0.007066 0.297135 0.307129 2
50 877 0.292139 0.012719 0.283145 0.301133 2
51 706 0.235177 0.011306 0.227182 0.243171 2
52 683 0.227515 0.005182 0.223851 0.231179 2
53 606 0.201865 0.010364 0.194537 0.209194 2
54 605 0.201532 0.008009 0.195869 0.207195 2
55 603 0.200866 0.002355 0.199201 0.202532 2
56 590 0.196536 0.006595 0.191872 0.201199 2
57 585 0.194870 0.011777 0.186542 0.203198 2
58 560 0.186542 0.000942 0.185876 0.187209 2
59 560 0.186542 0.006595 0.181879 0.191206 2
60 553 0.184211 0.007066 0.179214 0.189207 2
61 543 0.180879 0.016488 0.169221 0.192538 2
62 523 0.174217 0.008009 0.168554 0.179880 2
63 497 0.165556 0.014604 0.155230 0.175883 2
64 483 0.160893 0.000471 0.160560 0.161226 2
65 472 0.157229 0.012248 0.148568 0.165889 2
66 461 0.153564 0.014604 0.143238 0.163891 2
67 457 0.152232 0.019315 0.138574 0.165889 2
68 447 0.148901 0.010835 0.141239 0.156562 2
69 446 0.148568 0.012248 0.139907 0.157229 2
70 441 0.146902 0.009893 0.139907 0.153897 2
71 435 0.144903 0.014604 0.134577 0.155230 2
72 432 0.143904 0.006595 0.139241 0.148568 2
73 430 0.143238 0.003769 0.140573 0.145903 2
74 430 0.143238 0.005653 0.139241 0.147235 2
75 425 0.141572 0.003298 0.139241 0.143904 2
76 423 0.140906 0.000471 0.140573 0.141239 2
77 423 0.140906 0.007066 0.135909 0.145903 2
78 418 0.139241 0.004711 0.135909 0.142572 2
79 414 0.137908 0.017901 0.125250 0.150566 2
80 411 0.136909 0.005182 0.133245 0.140573 2
81 403 0.134244 0.003298 0.131912 0.136576 2
82 395 0.131579 0.004240 0.128581 0.134577 2
83 387 0.128914 0.000471 0.128581 0.129247 2
84 381 0.126915 0.008951 0.120586 0.133245 2
85 365 0.121586 0.008009 0.115923 0.127249 2
86 358 0.119254 0.003769 0.116589 0.121919 2
87 357 0.118921 0.008009 0.113258 0.124584 2
88 357 0.118921 0.000471 0.118588 0.119254 2
89 343 0.114257 0.008951 0.107928 0.120586 2
90 340 0.113258 0.012248 0.104597 0.121919 2
91 312 0.103931 0.007537 0.098601 0.109260 2
92 298 0.099267 0.009422 0.092605 0.105929 2
93 275 0.091606 0.012719 0.082612 0.100600 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] 0.000771 0.000000 0.000001 0.001882 0.000637 1.000 2
length{all}[2] 0.000355 0.000000 0.000000 0.001107 0.000243 1.000 2
length{all}[3] 0.000708 0.000000 0.000026 0.001756 0.000586 1.000 2
length{all}[4] 0.000365 0.000000 0.000000 0.001101 0.000248 1.000 2
length{all}[5] 0.001153 0.000000 0.000111 0.002504 0.001022 1.001 2
length{all}[6] 0.000370 0.000000 0.000000 0.001114 0.000265 1.000 2
length{all}[7] 0.000364 0.000000 0.000000 0.001129 0.000245 1.000 2
length{all}[8] 0.000354 0.000000 0.000000 0.001072 0.000246 1.000 2
length{all}[9] 0.000366 0.000000 0.000000 0.001082 0.000257 1.000 2
length{all}[10] 0.000355 0.000000 0.000000 0.001063 0.000241 1.000 2
length{all}[11] 0.002667 0.000001 0.000800 0.004805 0.002519 1.000 2
length{all}[12] 0.003768 0.000002 0.001349 0.006211 0.003632 1.000 2
length{all}[13] 0.000708 0.000000 0.000018 0.001749 0.000583 1.000 2
length{all}[14] 0.000358 0.000000 0.000000 0.001044 0.000248 1.000 2
length{all}[15] 0.000403 0.000000 0.000000 0.001183 0.000279 1.000 2
length{all}[16] 0.001113 0.000000 0.000104 0.002389 0.000977 1.000 2
length{all}[17] 0.006661 0.000003 0.003501 0.010266 0.006476 1.000 2
length{all}[18] 0.002888 0.000002 0.000789 0.005360 0.002742 1.000 2
length{all}[19] 0.004842 0.000003 0.002086 0.008178 0.004640 1.000 2
length{all}[20] 0.000366 0.000000 0.000000 0.001117 0.000252 1.000 2
length{all}[21] 0.000415 0.000000 0.000000 0.001204 0.000295 1.000 2
length{all}[22] 0.000715 0.000000 0.000026 0.001731 0.000596 1.000 2
length{all}[23] 0.002591 0.000001 0.000751 0.004707 0.002437 1.000 2
length{all}[24] 0.000408 0.000000 0.000000 0.001190 0.000291 1.000 2
length{all}[25] 0.000345 0.000000 0.000000 0.000998 0.000243 1.000 2
length{all}[26] 0.004063 0.000002 0.001465 0.006870 0.003897 1.002 2
length{all}[27] 0.000361 0.000000 0.000001 0.001086 0.000239 1.000 2
length{all}[28] 0.005405 0.000003 0.002449 0.008711 0.005217 1.000 2
length{all}[29] 0.004819 0.000002 0.002116 0.007842 0.004643 1.000 2
length{all}[30] 0.002513 0.000001 0.000608 0.004708 0.002381 1.000 2
length{all}[31] 0.011142 0.000007 0.006480 0.016727 0.010849 1.000 2
length{all}[32] 0.001571 0.000001 0.000116 0.003239 0.001434 1.000 2
length{all}[33] 0.002869 0.000001 0.000818 0.005153 0.002708 1.000 2
length{all}[34] 0.003440 0.000001 0.001319 0.005736 0.003295 1.000 2
length{all}[35] 0.002242 0.000001 0.000396 0.004304 0.002049 1.000 2
length{all}[36] 0.002294 0.000001 0.000471 0.004613 0.002129 1.000 2
length{all}[37] 0.001986 0.000001 0.000267 0.003816 0.001843 1.000 2
length{all}[38] 0.002375 0.000001 0.000569 0.004381 0.002225 1.000 2
length{all}[39] 0.002730 0.000001 0.000759 0.004942 0.002564 1.001 2
length{all}[40] 0.000722 0.000000 0.000019 0.001735 0.000593 1.000 2
length{all}[41] 0.000712 0.000000 0.000010 0.001713 0.000590 1.000 2
length{all}[42] 0.000800 0.000000 0.000002 0.001915 0.000672 1.001 2
length{all}[43] 0.001282 0.000001 0.000002 0.002875 0.001144 1.000 2
length{all}[44] 0.000714 0.000000 0.000017 0.001765 0.000579 1.000 2
length{all}[45] 0.000939 0.000000 0.000008 0.002218 0.000804 0.999 2
length{all}[46] 0.001066 0.000001 0.000001 0.002695 0.000864 1.001 2
length{all}[47] 0.001024 0.000001 0.000000 0.002430 0.000871 1.001 2
length{all}[48] 0.001109 0.000001 0.000002 0.002674 0.000956 0.999 2
length{all}[49] 0.000777 0.000000 0.000000 0.002134 0.000601 0.999 2
length{all}[50] 0.000686 0.000000 0.000000 0.002064 0.000445 0.999 2
length{all}[51] 0.000774 0.000000 0.000006 0.002028 0.000610 0.999 2
length{all}[52] 0.000659 0.000000 0.000001 0.001928 0.000466 1.002 2
length{all}[53] 0.000359 0.000000 0.000001 0.001066 0.000262 0.999 2
length{all}[54] 0.000349 0.000000 0.000000 0.001049 0.000239 0.999 2
length{all}[55] 0.000339 0.000000 0.000000 0.000972 0.000234 1.000 2
length{all}[56] 0.000371 0.000000 0.000002 0.001118 0.000248 1.002 2
length{all}[57] 0.000342 0.000000 0.000000 0.001009 0.000253 1.001 2
length{all}[58] 0.000384 0.000000 0.000000 0.001062 0.000260 0.999 2
length{all}[59] 0.000382 0.000000 0.000000 0.001076 0.000276 0.999 2
length{all}[60] 0.000370 0.000000 0.000001 0.001010 0.000246 1.004 2
length{all}[61] 0.000347 0.000000 0.000000 0.001011 0.000242 0.998 2
length{all}[62] 0.000357 0.000000 0.000001 0.001092 0.000239 0.999 2
length{all}[63] 0.000979 0.000001 0.000008 0.002578 0.000815 0.998 2
length{all}[64] 0.000570 0.000000 0.000001 0.001520 0.000418 0.999 2
length{all}[65] 0.000686 0.000000 0.000007 0.001795 0.000562 1.001 2
length{all}[66] 0.000651 0.000000 0.000002 0.001823 0.000457 0.998 2
length{all}[67] 0.000347 0.000000 0.000000 0.001001 0.000247 0.999 2
length{all}[68] 0.000425 0.000000 0.000001 0.001311 0.000279 1.000 2
length{all}[69] 0.000344 0.000000 0.000000 0.001091 0.000228 1.002 2
length{all}[70] 0.000372 0.000000 0.000000 0.001084 0.000243 1.001 2
length{all}[71] 0.000343 0.000000 0.000000 0.001027 0.000225 0.999 2
length{all}[72] 0.000376 0.000000 0.000000 0.001174 0.000244 0.998 2
length{all}[73] 0.000361 0.000000 0.000005 0.001126 0.000249 1.007 2
length{all}[74] 0.000341 0.000000 0.000001 0.001044 0.000235 0.998 2
length{all}[75] 0.000381 0.000000 0.000000 0.001066 0.000272 1.008 2
length{all}[76] 0.000718 0.000000 0.000006 0.001747 0.000558 0.998 2
length{all}[77] 0.000389 0.000000 0.000002 0.001131 0.000270 0.999 2
length{all}[78] 0.000373 0.000000 0.000000 0.001104 0.000255 0.998 2
length{all}[79] 0.000415 0.000000 0.000000 0.001338 0.000283 1.006 2
length{all}[80] 0.000382 0.000000 0.000000 0.001137 0.000240 1.002 2
length{all}[81] 0.000368 0.000000 0.000001 0.001031 0.000267 1.003 2
length{all}[82] 0.000392 0.000000 0.000000 0.001202 0.000283 1.004 2
length{all}[83] 0.000363 0.000000 0.000000 0.001097 0.000251 0.997 2
length{all}[84] 0.000336 0.000000 0.000002 0.001062 0.000222 1.002 2
length{all}[85] 0.000378 0.000000 0.000000 0.001140 0.000266 0.998 2
length{all}[86] 0.000359 0.000000 0.000001 0.001097 0.000241 0.998 2
length{all}[87] 0.000356 0.000000 0.000000 0.001049 0.000248 0.999 2
length{all}[88] 0.000355 0.000000 0.000003 0.001103 0.000230 0.998 2
length{all}[89] 0.000353 0.000000 0.000000 0.000983 0.000245 0.998 2
length{all}[90] 0.000394 0.000000 0.000000 0.001154 0.000284 0.999 2
length{all}[91] 0.000377 0.000000 0.000000 0.000938 0.000262 1.003 2
length{all}[92] 0.000374 0.000000 0.000001 0.001123 0.000269 1.001 2
length{all}[93] 0.000367 0.000000 0.000000 0.001128 0.000244 0.998 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 = 0.007508
Maximum standard deviation of split frequencies = 0.023083
Average PSRF for parameter values (excluding NA and >10.0) = 1.000
Maximum PSRF for parameter values = 1.008
Clade credibility values:
/--------------------------------------------------------------------- C521 (1)
|
|--------------------------------------------------------------------- C533 (5)
|
| /------ C322 (2)
| |
| |------ C317 (4)
| |
| /--100-+------ C328 (6)
| | |
| | |------ C334 (9)
| /--99-+ |
| | | \------ C316 (13)
| | |
| /-100-+ \------------- C82 (12)
| | |
| | \------------------- C270 (30)
| |
| | /------------- C107 (19)
| /-100-+ |
| | | /--99-+ /------ C144 (20)
| | | | \--100-+
| | | | \------ C136 (22)
| | \--66-+
| /--90--+ | /------ C135 (23)
| | | \-----66-----+
| | | \------ C391 (29)
+ | |
| | \------------------------------- C112 (15)
| /-100-+
| | |-------------------------------------- C64 (3)
| | |
| | |-------------------------------------- C181 (16)
| /--98-+ |
| | | \-------------------------------------- C209 (25)
| | |
| | \-------------------------------------------- C275 (7)
| |
| |-------------------------------------------------- C407 (8)
| |
| |-------------------------------------------------- C449 (10)
| |
| | /------------------- C61 (11)
| | |
| /--75-+ | /------------- C58 (17)
| | |--------------99--------------+ |
| | | | | /------ C290 (18)
| | | \--58-+--98--+
| | | | \------ C425 (26)
| | | |
| /--75--+ | \------------- C565 (28)
| | | |
| | | |-------------------------------------------------- C255 (14)
| | | |
\--89-+ | \-------------------------------------------------- C400 (27)
| |
| \-------------------------------------------------------- C526 (24)
|
\--------------------------------------------------------------- C398 (21)
Phylogram (based on average branch lengths):
/-- C521 (1)
|
|--- C533 (5)
|
| /- C322 (2)
| |
| |- C317 (4)
| |
| /---+- C328 (6)
| | |
| | |- C334 (9)
| /-----+ |
| | | \- C316 (13)
| | |
| /----+ \---------- C82 (12)
| | |
| | \------- C270 (30)
| |
| | /------------- C107 (19)
| /-------+ |
| | | /-----+ /- C144 (20)
| | | | \------------------------------+
| | | | \-- C136 (22)
| | \-+
| /-+ | /------- C135 (23)
| | | \-+
| | | \-------------- C391 (29)
+ | |
| | \- C112 (15)
| /--------+
| | |-- C64 (3)
| | |
| | |--- C181 (16)
| /-+ |
| | | \- C209 (25)
| | |
| | \ C275 (7)
| |
| |- C407 (8)
| |
| |- C449 (10)
| |
| | /-------- C61 (11)
| | |
| /--+ | /------------------ C58 (17)
| | |-----+ |
| | | | | /-------- C290 (18)
| | | \--+------+
| | | | \----------- C425 (26)
| | | |
| /-+ | \--------------- C565 (28)
| | | |
| | | |- C255 (14)
| | | |
\-+ | \- C400 (27)
| |
| \ C526 (24)
|
\- C398 (21)
|-------------| 0.005 expected changes per site
Calculating tree probabilities...
Credible sets of trees (3002 trees sampled):
50 % credible set contains 1501 trees
90 % credible set contains 2702 trees
95 % credible set contains 2852 trees
99 % credible set contains 2972 trees
Exiting mrbayes block
Reached end of file
Tasks completed, exiting program because mode is noninteractive
To return control to the command line after completion of file processing,
set mode to interactive with 'mb -i <filename>' (i is for interactive)
or use 'set mode=interactive'
-- Starting log on Thu Nov 17 16:37:49 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/LZW_nsp9_VIPR_ALG4_672096717_12593_15372_1_2012_02_China_Unknown_PEDV.result--
-- Starting log on Fri Nov 18 08:24:09 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/LZW_nsp9_VIPR_ALG4_672096717_12593_15372_1_2012_02_China_Unknown_PEDV.result/original_alignment/codeml,LZW_nsp9_VIPR_ALG4_672096717_12593_15372_1_2012_02_China_Unknown_PEDV.result.1--
CODONML in paml version 4.9h, March 2018
----------------------------------------------
Phe F TTT | Ser S TCT | Tyr Y TAT | Cys C TGT
TTC | TCC | TAC | TGC
Leu L TTA | TCA | *** * TAA | *** * TGA
TTG | TCG | TAG | Trp W TGG
----------------------------------------------
Leu L CTT | Pro P CCT | His H CAT | Arg R CGT
CTC | CCC | CAC | CGC
CTA | CCA | Gln Q CAA | CGA
CTG | CCG | CAG | CGG
----------------------------------------------
Ile I ATT | Thr T ACT | Asn N AAT | Ser S AGT
ATC | ACC | AAC | AGC
ATA | ACA | Lys K AAA | Arg R AGA
Met M ATG | ACG | AAG | AGG
----------------------------------------------
Val V GTT | Ala A GCT | Asp D GAT | Gly G GGT
GTC | GCC | GAC | GGC
GTA | GCA | Glu E GAA | GGA
GTG | GCG | GAG | GGG
----------------------------------------------
Nice code, uuh?
NSsites batch run (ncatG as in YNGP2000): 1 2 7 8
processing fasta file
reading seq# 1 C255 2823 sites
reading seq# 2 C181 2823 sites
reading seq# 3 C112 2823 sites
reading seq# 4 C61 2823 sites
reading seq# 5 C290 2823 sites
reading seq# 6 C58 2823 sites
reading seq# 7 C107 2823 sites
reading seq# 8 C316 2823 sites
reading seq# 9 C565 2823 sites
reading seq#10 C144 2823 sites
reading seq#11 C322 2823 sites
reading seq#12 C521 2823 sites
reading seq#13 C64 2823 sites
reading seq#14 C398 2823 sites
reading seq#15 C136 2823 sites
reading seq#16 C533 2823 sites
reading seq#17 C317 2823 sites
reading seq#18 C328 2823 sites
reading seq#19 C526 2823 sites
reading seq#20 C135 2823 sites
reading seq#21 C407 2823 sites
reading seq#22 C275 2823 sites
reading seq#23 C425 2823 sites
reading seq#24 C400 2823 sites
reading seq#25 C209 2823 sites
reading seq#26 C449 2823 sites
reading seq#27 C334 2823 sites
reading seq#28 C270 2823 sites
reading seq#29 C391 2823 sites
reading seq#30 C82 2823 sitesns = 30 ls = 2823
Reading sequences, sequential format..
Reading seq # 1: C255
Reading seq # 2: C181
Reading seq # 3: C112
Reading seq # 4: C61
Reading seq # 5: C290
Reading seq # 6: C58
Reading seq # 7: C107
Reading seq # 8: C316
Reading seq # 9: C565
Reading seq #10: C144
Reading seq #11: C322
Reading seq #12: C521
Reading seq #13: C64
Reading seq #14: C398
Reading seq #15: C136
Reading seq #16: C533
Reading seq #17: C317
Reading seq #18: C328
Reading seq #19: C526
Reading seq #20: C135
Reading seq #21: C407
Reading seq #22: C275
Reading seq #23: C425
Reading seq #24: C400
Reading seq #25: C209
Reading seq #26: C449
Reading seq #27: C334
Reading seq #28: C270
Reading seq #29: C391
Reading seq #30: C82
Sites with gaps or missing data are removed.
42 ambiguity characters in seq. 1
42 ambiguity characters in seq. 2
42 ambiguity characters in seq. 3
42 ambiguity characters in seq. 4
42 ambiguity characters in seq. 5
42 ambiguity characters in seq. 6
42 ambiguity characters in seq. 7
42 ambiguity characters in seq. 8
42 ambiguity characters in seq. 10
42 ambiguity characters in seq. 11
42 ambiguity characters in seq. 12
42 ambiguity characters in seq. 13
42 ambiguity characters in seq. 15
42 ambiguity characters in seq. 16
42 ambiguity characters in seq. 17
42 ambiguity characters in seq. 18
42 ambiguity characters in seq. 20
42 ambiguity characters in seq. 21
42 ambiguity characters in seq. 22
42 ambiguity characters in seq. 24
42 ambiguity characters in seq. 25
42 ambiguity characters in seq. 26
42 ambiguity characters in seq. 27
42 ambiguity characters in seq. 28
42 ambiguity characters in seq. 29
42 ambiguity characters in seq. 30
23 sites are removed. 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
Sequences read..
Counting site patterns.. 0:00
Compressing, 161 patterns at 918 / 918 sites (100.0%), 0:00
Collecting fpatt[] & pose[], 161 patterns at 918 / 918 sites (100.0%), 0:00
Counting codons..
3480 bytes for distance
157136 bytes for conP
14168 bytes for fhK
5000000 bytes for space
Model 1: NearlyNeutral
TREE # 1
(12, 16, ((((((((((11, 17, 18, 27, 8), 30), 28), ((7, (10, 15)), (20, 29))), 3), 13, 2, 25), 22), 21, 26, (4, (6, (5, 23), 9)), 1, 24), 19), 14)); MP score: 167
1414224 bytes for conP, adjusted
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
36
0.102365 0.080116 0.042017 0.094915 0.077713 0.055192 0.083058 0.039720 0.055109 0.059069 0.070392 0.054262 0.069623 0.104219 0.088794 0.047389 0.042089 0.095558 0.011584 0.042670 0.078691 0.042555 0.061490 0.090254 0.069266 0.086077 0.069452 0.033321 0.051537 0.013422 0.086069 0.040055 0.083440 0.109976 0.075365 0.087089 0.040754 0.070923 0.095569 0.055343 0.032208 0.071454 0.046596 0.074215 0.099249 0.068910 0.038913 0.300000 0.560139 0.263400
ntime & nrate & np: 47 2 50
Bounds (np=50):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.000010 0.000001
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 0.999990 1.000000
Qfactor_NS = 11.745421
np = 50
lnL0 = -6588.595612
Iterating by ming2
Initial: fx= 6588.595612
x= 0.10237 0.08012 0.04202 0.09491 0.07771 0.05519 0.08306 0.03972 0.05511 0.05907 0.07039 0.05426 0.06962 0.10422 0.08879 0.04739 0.04209 0.09556 0.01158 0.04267 0.07869 0.04256 0.06149 0.09025 0.06927 0.08608 0.06945 0.03332 0.05154 0.01342 0.08607 0.04006 0.08344 0.10998 0.07536 0.08709 0.04075 0.07092 0.09557 0.05534 0.03221 0.07145 0.04660 0.07422 0.09925 0.06891 0.03891 0.30000 0.56014 0.26340
1 h-m-p 0.0000 0.0000 4058.7861 ++ 6153.228540 m 0.0000 55 | 0/50
2 h-m-p 0.0000 0.0000 291058.5351 ++ 5887.543417 m 0.0000 108 | 0/50
3 h-m-p 0.0000 0.0000 160791.1679 ++ 5609.386820 m 0.0000 161 | 1/50
4 h-m-p 0.0000 0.0000 3713.7529 ++ 5592.843305 m 0.0000 214 | 2/50
5 h-m-p 0.0000 0.0000 7579.4794 ++ 5523.462562 m 0.0000 267 | 2/50
6 h-m-p 0.0000 0.0000 171904.5145 ++ 5513.499804 m 0.0000 320 | 3/50
7 h-m-p 0.0000 0.0000 49003.1209 ++ 5471.496412 m 0.0000 373 | 4/50
8 h-m-p 0.0000 0.0000 15921.8984 ++ 5345.889442 m 0.0000 426 | 4/50
9 h-m-p 0.0000 0.0000 86020.8188 ++ 5292.036957 m 0.0000 479 | 5/50
10 h-m-p 0.0000 0.0000 11801.0099 ++ 5284.664550 m 0.0000 532 | 6/50
11 h-m-p 0.0000 0.0000 32516.1007 ++ 5245.828810 m 0.0000 585 | 7/50
12 h-m-p 0.0000 0.0000 30226.9460 ++ 5237.179521 m 0.0000 638 | 8/50
13 h-m-p 0.0000 0.0000 38794.8316 ++ 5221.425528 m 0.0000 691 | 9/50
14 h-m-p 0.0000 0.0000 70633.8680 ++ 5183.998927 m 0.0000 744 | 10/50
15 h-m-p 0.0000 0.0000 155584.1594 ++ 5158.449405 m 0.0000 797 | 11/50
16 h-m-p 0.0000 0.0000 36118.0786 ++ 5148.654262 m 0.0000 850 | 12/50
17 h-m-p 0.0000 0.0000 21808.8079 ++ 5115.134627 m 0.0000 903 | 13/50
18 h-m-p 0.0000 0.0000 15050.2488 ++ 5099.446509 m 0.0000 956 | 14/50
19 h-m-p 0.0000 0.0000 7403.1914 ++ 5084.941119 m 0.0000 1009 | 15/50
20 h-m-p 0.0000 0.0000 3993.8741 ++ 5005.979454 m 0.0000 1062 | 15/50
21 h-m-p 0.0000 0.0000 8939.4898 YCYC 5005.400443 3 0.0000 1119 | 15/50
22 h-m-p 0.0000 0.0000 43903.7877 +CYYC 5001.831487 3 0.0000 1177 | 15/50
23 h-m-p 0.0000 0.0000 14983.9187 +YYYCCCC 4997.280113 6 0.0000 1240 | 15/50
24 h-m-p 0.0000 0.0000 35932.5487 +YYYC 4991.411022 3 0.0000 1297 | 15/50
25 h-m-p 0.0000 0.0000 54875.1365 +YYYCCC 4987.746993 5 0.0000 1358 | 15/50
26 h-m-p 0.0000 0.0000 44444.3453 +YYCYC 4980.991143 4 0.0000 1417 | 15/50
27 h-m-p 0.0000 0.0000 13340.8863 ++ 4966.652350 m 0.0000 1470 | 15/50
28 h-m-p 0.0000 0.0000 6588.0785 +YYCYCCC 4958.333680 6 0.0000 1533 | 15/50
29 h-m-p 0.0000 0.0000 17245.0913 +YYCCCC 4935.059984 5 0.0000 1595 | 15/50
30 h-m-p 0.0000 0.0000 8231.9068 +YCYCCC 4925.071385 5 0.0000 1657 | 15/50
31 h-m-p 0.0000 0.0000 6648.6954 +YCYCCC 4913.844594 5 0.0000 1719 | 15/50
32 h-m-p 0.0000 0.0000 2905.8944 ++ 4907.676517 m 0.0000 1772 | 15/50
33 h-m-p 0.0000 0.0000 3710.3375 YCCCC 4905.877882 4 0.0000 1832 | 15/50
34 h-m-p 0.0000 0.0000 1128.9755 YCCCC 4904.707759 4 0.0000 1892 | 15/50
35 h-m-p 0.0000 0.0000 293.6224 YCCCC 4903.197799 4 0.0000 1952 | 15/50
36 h-m-p 0.0000 0.0000 1257.5225 YCYCCC 4899.052299 5 0.0000 2013 | 15/50
37 h-m-p 0.0000 0.0000 5685.7860 YCCCC 4895.177520 4 0.0000 2073 | 15/50
38 h-m-p 0.0000 0.0000 4224.9787 +YYCCC 4890.732656 4 0.0000 2133 | 15/50
39 h-m-p 0.0000 0.0000 3756.4766 +YYCCC 4888.633589 4 0.0000 2193 | 15/50
40 h-m-p 0.0000 0.0000 5780.0560 YCCCC 4881.885358 4 0.0000 2253 | 15/50
41 h-m-p 0.0000 0.0000 5333.6235 CCCC 4879.314021 3 0.0000 2312 | 15/50
42 h-m-p 0.0000 0.0000 1102.9714 +YCCC 4875.166170 3 0.0000 2371 | 15/50
43 h-m-p 0.0000 0.0000 4121.4195 YCCCC 4870.354514 4 0.0000 2431 | 15/50
44 h-m-p 0.0000 0.0003 619.6896 YCCC 4861.770618 3 0.0001 2489 | 15/50
45 h-m-p 0.0000 0.0000 6935.8361 +YCCC 4846.915334 3 0.0000 2548 | 15/50
46 h-m-p 0.0004 0.0018 5.4571 +YYYYCYCCC 4843.708919 8 0.0015 2613 | 15/50
47 h-m-p 0.0002 0.0063 33.5381 ++YYYCYCCCC 4823.177666 8 0.0044 2680 | 15/50
48 h-m-p 0.0032 0.0162 2.5289 +YCYCCC 4819.091515 5 0.0090 2742 | 15/50
49 h-m-p 0.0052 0.0260 0.8492 +YYCCC 4817.653711 4 0.0163 2802 | 15/50
50 h-m-p 0.0047 0.0862 2.9443 CYCC 4816.544711 3 0.0055 2895 | 15/50
51 h-m-p 0.0594 1.1701 0.2727 +YCCCC 4807.448523 4 0.5181 2956 | 15/50
52 h-m-p 0.1112 0.5559 0.8238 +YCCC 4802.167715 3 0.2840 3050 | 15/50
53 h-m-p 0.6369 3.1843 0.2607 YCCC 4795.344502 3 1.3926 3143 | 15/50
54 h-m-p 1.5851 7.9256 0.1652 YCCCCC 4788.055552 5 3.4441 3240 | 15/50
55 h-m-p 0.1630 0.8152 0.3442 YCCC 4786.891279 3 0.3452 3333 | 15/50
56 h-m-p 0.5203 5.4235 0.2284 +CYC 4784.469789 2 1.9411 3425 | 15/50
57 h-m-p 0.9974 4.9870 0.1423 +YCCC 4783.276505 3 2.6344 3519 | 15/50
58 h-m-p 1.6000 8.0000 0.1311 CYCC 4782.747374 3 1.0679 3612 | 15/50
59 h-m-p 1.4600 8.0000 0.0959 CCC 4782.265654 2 2.2322 3704 | 15/50
60 h-m-p 1.6000 8.0000 0.0393 YCCC 4781.884654 3 3.3106 3797 | 15/50
61 h-m-p 1.6000 8.0000 0.0060 YC 4781.698349 1 3.0602 3886 | 15/50
62 h-m-p 0.6060 8.0000 0.0305 +YC 4781.466045 1 4.6325 3976 | 15/50
63 h-m-p 1.6000 8.0000 0.0143 +YC 4781.010019 1 4.6688 4066 | 15/50
64 h-m-p 1.6000 8.0000 0.0353 YCCC 4780.492497 3 3.2872 4159 | 15/50
65 h-m-p 1.6000 8.0000 0.0296 YCC 4780.194254 2 2.4973 4250 | 15/50
66 h-m-p 1.6000 8.0000 0.0191 YC 4779.986104 1 3.2617 4339 | 15/50
67 h-m-p 1.6000 8.0000 0.0173 YC 4779.712449 1 3.2385 4428 | 15/50
68 h-m-p 1.3044 8.0000 0.0429 YC 4779.521634 1 2.7378 4517 | 15/50
69 h-m-p 1.6000 8.0000 0.0075 YC 4779.352325 1 2.7016 4606 | 15/50
70 h-m-p 0.7560 8.0000 0.0267 +CC 4779.239336 1 2.7653 4697 | 15/50
71 h-m-p 1.6000 8.0000 0.0062 YC 4779.143318 1 3.0220 4786 | 15/50
72 h-m-p 1.0049 8.0000 0.0186 +CC 4779.084713 1 3.5159 4877 | 15/50
73 h-m-p 1.6000 8.0000 0.0143 YC 4779.026745 1 3.2693 4966 | 15/50
74 h-m-p 1.6000 8.0000 0.0131 +YC 4778.950469 1 4.7245 5056 | 15/50
75 h-m-p 1.6000 8.0000 0.0177 YC 4778.853449 1 3.1909 5145 | 15/50
76 h-m-p 1.6000 8.0000 0.0126 CC 4778.821511 1 2.3831 5235 | 15/50
77 h-m-p 1.6000 8.0000 0.0085 +YC 4778.777273 1 4.6844 5325 | 15/50
78 h-m-p 1.6000 8.0000 0.0037 YC 4778.725791 1 3.6889 5414 | 15/50
79 h-m-p 1.5376 8.0000 0.0089 YC 4778.694653 1 2.6741 5503 | 15/50
80 h-m-p 1.6000 8.0000 0.0019 YC 4778.674340 1 3.5208 5592 | 15/50
81 h-m-p 1.2434 8.0000 0.0053 +YC 4778.645094 1 3.9517 5682 | 15/50
82 h-m-p 1.6000 8.0000 0.0127 +YC 4778.593953 1 4.7951 5772 | 15/50
83 h-m-p 1.6000 8.0000 0.0033 YC 4778.548563 1 2.5968 5861 | 15/50
84 h-m-p 1.0061 8.0000 0.0086 +YC 4778.521927 1 3.3303 5951 | 15/50
85 h-m-p 1.6000 8.0000 0.0045 YC 4778.500558 1 3.0061 6040 | 15/50
86 h-m-p 1.6000 8.0000 0.0045 YC 4778.472949 1 3.9193 6129 | 15/50
87 h-m-p 1.6000 8.0000 0.0079 +YC 4778.422454 1 5.0423 6219 | 15/50
88 h-m-p 0.5665 2.8326 0.0114 ++ 4778.335716 m 2.8326 6307 | 16/50
89 h-m-p 1.6000 8.0000 0.0144 CC 4778.303401 1 1.8157 6397 | 16/50
90 h-m-p 1.3010 8.0000 0.0201 YC 4778.295107 1 0.5445 6485 | 15/50
91 h-m-p 0.0007 0.0273 16.2657 C 4778.294588 0 0.0002 6572 | 15/50
92 h-m-p 0.1519 1.2256 0.0226 ++ 4778.286086 m 1.2256 6625 | 16/50
93 h-m-p 1.6000 8.0000 0.0123 YC 4778.283156 1 0.8171 6714 | 16/50
94 h-m-p 0.5940 8.0000 0.0170 C 4778.280182 0 0.6725 6801 | 16/50
95 h-m-p 1.1947 8.0000 0.0096 +CC 4778.272691 1 4.4217 6891 | 16/50
96 h-m-p 1.6000 8.0000 0.0015 YC 4778.263677 1 3.2052 6979 | 16/50
97 h-m-p 1.6000 8.0000 0.0016 CC 4778.253821 1 2.4653 7068 | 16/50
98 h-m-p 0.8113 8.0000 0.0048 +YC 4778.248691 1 2.3960 7157 | 16/50
99 h-m-p 1.6000 8.0000 0.0022 YC 4778.246438 1 2.7869 7245 | 16/50
100 h-m-p 1.6000 8.0000 0.0027 YC 4778.244916 1 3.3287 7333 | 16/50
101 h-m-p 1.6000 8.0000 0.0010 +YC 4778.242049 1 5.2742 7422 | 16/50
102 h-m-p 1.6000 8.0000 0.0020 ++ 4778.230994 m 8.0000 7509 | 16/50
103 h-m-p 1.6000 8.0000 0.0032 YC 4778.215749 1 3.2855 7597 | 16/50
104 h-m-p 1.6000 8.0000 0.0045 YC 4778.199106 1 3.8559 7685 | 16/50
105 h-m-p 1.6000 8.0000 0.0006 CC 4778.193406 1 1.8208 7774 | 16/50
106 h-m-p 1.6000 8.0000 0.0002 CC 4778.192020 1 2.2050 7863 | 16/50
107 h-m-p 0.6599 8.0000 0.0007 +YC 4778.190416 1 4.8584 7952 | 16/50
108 h-m-p 1.6000 8.0000 0.0003 +YC 4778.187823 1 4.7016 8041 | 16/50
109 h-m-p 0.5885 8.0000 0.0024 ++ 4778.181225 m 8.0000 8128 | 16/50
110 h-m-p 1.6000 8.0000 0.0031 ++ 4778.153998 m 8.0000 8215 | 16/50
111 h-m-p 1.6000 8.0000 0.0074 +YC 4778.080102 1 5.1399 8304 | 15/50
112 h-m-p 0.0015 0.0167 24.8057 -CC 4778.076282 1 0.0001 8394 | 15/50
113 h-m-p 0.1750 8.0000 0.0118 ++YC 4778.042072 1 2.0742 8450 | 15/50
114 h-m-p 1.6000 8.0000 0.0066 YC 4778.015325 1 3.3020 8539 | 15/50
115 h-m-p 1.6000 8.0000 0.0034 YC 4778.011394 1 1.2680 8628 | 15/50
116 h-m-p 1.6000 8.0000 0.0006 C 4778.011182 0 1.6092 8716 | 15/50
117 h-m-p 1.6000 8.0000 0.0000 C 4778.011123 0 2.1061 8804 | 15/50
118 h-m-p 0.1283 8.0000 0.0004 ++Y 4778.011112 0 1.6531 8894 | 15/50
119 h-m-p 1.6000 8.0000 0.0002 C 4778.011112 0 1.3882 8982 | 15/50
120 h-m-p 1.6000 8.0000 0.0000 -C 4778.011112 0 0.1000 9071 | 15/50
121 h-m-p 0.0738 8.0000 0.0001 Y 4778.011112 0 0.0185 9159 | 15/50
122 h-m-p 0.0160 8.0000 0.0049 ----C 4778.011112 0 0.0000 9251 | 15/50
123 h-m-p 0.0484 8.0000 0.0000 --------Y 4778.011112 0 0.0000 9347 | 15/50
124 h-m-p 0.0160 8.0000 0.0000 ---C 4778.011112 0 0.0001 9438
Out..
lnL = -4778.011112
9439 lfun, 28317 eigenQcodon, 887266 P(t)
end of tree file.
Time used: 7:14
Model 2: PositiveSelection
TREE # 1
(12, 16, ((((((((((11, 17, 18, 27, 8), 30), 28), ((7, (10, 15)), (20, 29))), 3), 13, 2, 25), 22), 21, 26, (4, (6, (5, 23), 9)), 1, 24), 19), 14)); MP score: 167
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
36
0.085296 0.013477 0.089742 0.093325 0.093602 0.017439 0.105715 0.018937 0.106372 0.015293 0.062687 0.034518 0.039954 0.090165 0.052693 0.058243 0.102875 0.064928 0.058977 0.030183 0.031770 0.047821 0.044808 0.086003 0.073313 0.082272 0.078128 0.052831 0.085574 0.055614 0.102984 0.109479 0.107255 0.096361 0.043671 0.028212 0.018226 0.064758 0.102530 0.090246 0.089817 0.016277 0.087335 0.042156 0.098287 0.092746 0.079202 3.409761 1.054056 0.299558 0.343213 1.344135
ntime & nrate & np: 47 3 52
Bounds (np=52):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 -99.000000 -99.000000 0.000001 1.000000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 99.000000 99.000000 1.000000 999.000000
Qfactor_NS = 4.066544
np = 52
lnL0 = -6660.462758
Iterating by ming2
Initial: fx= 6660.462758
x= 0.08530 0.01348 0.08974 0.09333 0.09360 0.01744 0.10571 0.01894 0.10637 0.01529 0.06269 0.03452 0.03995 0.09017 0.05269 0.05824 0.10287 0.06493 0.05898 0.03018 0.03177 0.04782 0.04481 0.08600 0.07331 0.08227 0.07813 0.05283 0.08557 0.05561 0.10298 0.10948 0.10725 0.09636 0.04367 0.02821 0.01823 0.06476 0.10253 0.09025 0.08982 0.01628 0.08733 0.04216 0.09829 0.09275 0.07920 3.40976 1.05406 0.29956 0.34321 1.34414
1 h-m-p 0.0000 0.0000 4085.2400 ++ 6220.414244 m 0.0000 57 | 0/52
2 h-m-p 0.0000 0.0000 112036.7218 ++ 6174.904210 m 0.0000 112 | 0/52
3 h-m-p 0.0000 0.0000 59712.0720 ++ 6122.995256 m 0.0000 167 | 0/52
4 h-m-p 0.0000 0.0000 133664.0075 ++ 5839.075969 m 0.0000 222 | 0/52
5 h-m-p 0.0000 0.0000 59993.1033
h-m-p: 2.26858033e-23 1.13429017e-22 5.99931033e+04 5839.075969
.. | 0/52
6 h-m-p 0.0000 0.0000 4196.7373 ++ 5741.382709 m 0.0000 329 | 1/52
7 h-m-p 0.0000 0.0000 11697.1565 ++ 5701.284402 m 0.0000 384 | 2/52
8 h-m-p 0.0000 0.0000 179803.9018 ++ 5674.291550 m 0.0000 439 | 3/52
9 h-m-p 0.0000 0.0000 660935.9134 ++ 5584.165690 m 0.0000 494 | 4/52
10 h-m-p 0.0000 0.0000 875098.2777 ++ 5517.851703 m 0.0000 549 | 5/52
11 h-m-p 0.0000 0.0000 77257.8439 ++ 5437.662307 m 0.0000 604 | 5/52
12 h-m-p 0.0000 0.0000 122810.7073 ++ 5430.032449 m 0.0000 659 | 6/52
13 h-m-p 0.0000 0.0000 124460.4103 ++ 5287.972059 m 0.0000 714 | 6/52
14 h-m-p 0.0000 0.0000 158104.5369 ++ 5136.131269 m 0.0000 769 | 6/52
15 h-m-p 0.0000 0.0000 87992.5621 ++ 5123.600742 m 0.0000 824 | 7/52
16 h-m-p 0.0000 0.0000 115205.2699 ++ 5036.645635 m 0.0000 879 | 8/52
17 h-m-p 0.0000 0.0000 53066.2905 ++ 5019.783065 m 0.0000 934 | 9/52
18 h-m-p 0.0000 0.0000 36470.8139 ++ 4989.702218 m 0.0000 989 | 10/52
19 h-m-p 0.0000 0.0000 37919.7759 ++ 4969.146461 m 0.0000 1044 | 11/52
20 h-m-p 0.0000 0.0000 31418.7277 ++ 4963.038001 m 0.0000 1099 | 12/52
21 h-m-p 0.0000 0.0000 14036.2438 ++ 4948.926009 m 0.0000 1154 | 13/52
22 h-m-p 0.0000 0.0000 8379.8532 ++ 4941.888666 m 0.0000 1209 | 14/52
23 h-m-p 0.0000 0.0000 3680.9502 ++ 4924.367973 m 0.0000 1264 | 15/52
24 h-m-p 0.0000 0.0000 8395.9303 ++ 4921.935897 m 0.0000 1319 | 16/52
25 h-m-p 0.0000 0.0000 582.9883 +CYCYYCCC 4906.504204 7 0.0000 1386 | 15/52
26 h-m-p 0.0000 0.0000 4173.9987 +YYCCC 4899.533990 4 0.0000 1448 | 15/52
27 h-m-p 0.0000 0.0001 563.6640 CCCC 4897.704028 3 0.0000 1509 | 15/52
28 h-m-p 0.0000 0.0000 286.5866 CCC 4897.399070 2 0.0000 1568 | 15/52
29 h-m-p 0.0000 0.0000 313.7966 YCCC 4897.048576 3 0.0000 1628 | 15/52
30 h-m-p 0.0000 0.0001 349.2185 CC 4896.672223 1 0.0000 1685 | 15/52
31 h-m-p 0.0000 0.0001 219.0142 CCC 4896.252760 2 0.0000 1744 | 15/52
32 h-m-p 0.0000 0.0003 392.9356 +CCCC 4893.817240 3 0.0001 1806 | 15/52
33 h-m-p 0.0000 0.0000 2568.5148 +YCYYYYCCCC 4885.713215 9 0.0000 1875 | 15/52
34 h-m-p 0.0000 0.0001 1290.4538 CCCCC 4884.012065 4 0.0000 1938 | 15/52
35 h-m-p 0.0000 0.0001 948.8141 YYC 4883.193723 2 0.0000 1995 | 15/52
36 h-m-p 0.0000 0.0001 778.6219 +CCC 4881.430250 2 0.0000 2055 | 15/52
37 h-m-p 0.0000 0.0001 3433.1099 +CYYCCC 4869.401095 5 0.0001 2120 | 15/52
38 h-m-p 0.0000 0.0000 20736.9642 ++ 4864.360721 m 0.0000 2175 | 16/52
39 h-m-p 0.0000 0.0000 24038.4645 ++ 4857.810280 m 0.0000 2230 | 17/52
40 h-m-p 0.0000 0.0000 2751.0618 CCCC 4856.944703 3 0.0000 2291 | 17/52
41 h-m-p 0.0000 0.0000 1479.5800 +YYCCC 4855.904806 4 0.0000 2353 | 17/52
42 h-m-p 0.0000 0.0000 2973.1059 ++ 4851.709741 m 0.0000 2408 | 18/52
43 h-m-p 0.0000 0.0001 2904.0653 +YCCC 4847.593040 3 0.0001 2469 | 18/52
44 h-m-p 0.0000 0.0002 237.7461 CCCC 4847.305939 3 0.0000 2530 | 18/52
45 h-m-p 0.0001 0.0020 172.9039 +++ 4836.508591 m 0.0020 2586 | 18/52
46 h-m-p 0.0001 0.0003 834.7483 ++ 4830.522866 m 0.0003 2641 | 18/52
47 h-m-p 0.0005 0.0026 308.6541 CCC 4825.156237 2 0.0008 2700 | 17/52
48 h-m-p 0.0002 0.0008 782.3959 --YYCC 4825.069277 3 0.0000 2761 | 17/52
49 h-m-p 0.0002 0.0212 19.1195 ++++ 4809.683960 m 0.0212 2818 | 17/52
50 h-m-p 0.0000 0.0000 1.4453
h-m-p: 2.32284854e-18 1.16142427e-17 1.44530775e+00 4809.683960
.. | 17/52
51 h-m-p 0.0000 0.0000 27390.7891 CYYCYCCC 4800.011486 7 0.0000 2936 | 17/52
52 h-m-p 0.0000 0.0000 2056.1228 +YYYCCC 4790.907188 5 0.0000 2999 | 17/52
53 h-m-p 0.0000 0.0000 2878.7210 YCCC 4785.636833 3 0.0000 3059 | 17/52
54 h-m-p 0.0000 0.0000 1492.3238 +YYYYC 4782.791136 4 0.0000 3119 | 17/52
55 h-m-p 0.0000 0.0000 2227.5076 CCCC 4781.134275 3 0.0000 3180 | 17/52
56 h-m-p 0.0000 0.0000 834.6337 CCCC 4780.595228 3 0.0000 3241 | 17/52
57 h-m-p 0.0000 0.0000 241.9366 YYCC 4780.418992 3 0.0000 3300 | 17/52
58 h-m-p 0.0000 0.0001 141.2354 C 4780.398414 0 0.0000 3355 | 17/52
59 h-m-p 0.0000 0.0001 66.9135 YC 4780.389521 1 0.0000 3411 | 17/52
60 h-m-p 0.0000 0.0002 61.3692 YC 4780.382634 1 0.0000 3467 | 17/52
61 h-m-p 0.0000 0.0002 59.0815 YC 4780.378147 1 0.0000 3523 | 17/52
62 h-m-p 0.0000 0.0002 38.9537 YC 4780.375903 1 0.0000 3579 | 17/52
63 h-m-p 0.0000 0.0002 49.1320 YC 4780.373902 1 0.0000 3635 | 17/52
64 h-m-p 0.0000 0.0008 26.0840 CC 4780.371985 1 0.0000 3692 | 17/52
65 h-m-p 0.0000 0.0004 30.9983 CC 4780.369991 1 0.0000 3749 | 17/52
66 h-m-p 0.0000 0.0003 78.2727 C 4780.366232 0 0.0000 3804 | 17/52
67 h-m-p 0.0000 0.0008 128.6894 +YC 4780.348413 1 0.0000 3861 | 17/52
68 h-m-p 0.0000 0.0001 777.0438 CCC 4780.299016 2 0.0000 3920 | 17/52
69 h-m-p 0.0000 0.0001 2532.6571 +YCCC 4780.001600 3 0.0000 3981 | 17/52
70 h-m-p 0.0000 0.0000 10782.2699 CCC 4779.547946 2 0.0000 4040 | 17/52
71 h-m-p 0.0000 0.0001 10693.9547 CCC 4778.943906 2 0.0000 4099 | 17/52
72 h-m-p 0.0000 0.0001 2154.8697 YCC 4778.862658 2 0.0000 4157 | 17/52
73 h-m-p 0.0000 0.0001 696.3322 YC 4778.848096 1 0.0000 4213 | 17/52
74 h-m-p 0.0000 0.0005 107.7519 C 4778.844673 0 0.0000 4268 | 17/52
75 h-m-p 0.0001 0.0024 6.8715 -C 4778.844514 0 0.0000 4324 | 16/52
76 h-m-p 0.0000 0.0064 2.4995 C 4778.844396 0 0.0000 4379 | 16/52
77 h-m-p 0.0000 0.0056 9.6361 +YC 4778.843215 1 0.0001 4436 | 16/52
78 h-m-p 0.0000 0.0028 72.0046 +YC 4778.834775 1 0.0001 4493 | 16/52
79 h-m-p 0.0000 0.0027 701.4041 +++YCCC 4778.443073 3 0.0004 4556 | 16/52
80 h-m-p 0.0000 0.0001 20448.8276 CCC 4777.980736 2 0.0000 4615 | 16/52
81 h-m-p 0.0000 0.0002 2144.9937 C 4777.948248 0 0.0000 4670 | 16/52
82 h-m-p 0.0001 0.0009 198.8256 -CC 4777.945255 1 0.0000 4728 | 16/52
83 h-m-p 0.0013 0.0150 1.8143 --C 4777.945204 0 0.0000 4785 | 16/52
84 h-m-p 0.0002 0.0830 2.2784 ++CC 4777.933962 1 0.0030 4844 | 16/52
85 h-m-p 0.0000 0.0027 780.0708 +++CCCC 4776.603262 3 0.0010 4908 | 16/52
86 h-m-p 0.4159 2.0793 1.0410 YCCC 4776.102457 3 0.7427 4968 | 15/52
87 h-m-p 0.0001 0.0006 2237.3652 YCCC 4775.820836 3 0.0001 5028 | 15/52
88 h-m-p 0.1049 5.3379 1.4247 ++YCC 4774.457583 2 1.1797 5088 | 15/52
89 h-m-p 0.8636 4.3181 1.7441 CYC 4773.031461 2 0.9516 5146 | 15/52
90 h-m-p 1.0423 5.2113 0.6952 CCC 4771.915781 2 1.4936 5205 | 15/52
91 h-m-p 0.6894 3.4468 0.8274 CCCC 4771.577204 3 1.1357 5303 | 15/52
92 h-m-p 1.0213 5.1067 0.8222 CC 4771.406308 1 0.8678 5397 | 15/52
93 h-m-p 1.4945 8.0000 0.4774 CCC 4771.270126 2 1.3634 5493 | 15/52
94 h-m-p 0.8952 8.0000 0.7271 YC 4771.061258 1 2.1685 5586 | 15/52
95 h-m-p 1.1958 5.9790 0.8425 YCCCCC 4770.836091 5 1.4811 5687 | 15/52
96 h-m-p 0.6986 3.4931 0.2923 YCC 4770.661111 2 1.2666 5782 | 15/52
97 h-m-p 0.5077 3.5672 0.7291 YCCC 4770.561234 3 1.0242 5879 | 15/52
98 h-m-p 1.1064 8.0000 0.6749 CCC 4770.394585 2 1.4621 5975 | 15/52
99 h-m-p 0.8461 8.0000 1.1662 YC 4770.167594 1 2.0813 6068 | 15/52
100 h-m-p 1.1772 5.8859 1.1996 CCC 4770.056567 2 1.4189 6127 | 15/52
101 h-m-p 1.6000 8.0000 1.0016 CYC 4770.012833 2 1.5027 6185 | 15/52
102 h-m-p 0.8083 8.0000 1.8621 +CCCC 4769.847154 3 3.6130 6247 | 15/52
103 h-m-p 0.8701 4.3507 4.4277 YC 4769.806594 1 0.6280 6303 | 15/52
104 h-m-p 1.6000 8.0000 0.4392 YC 4769.763189 1 0.6749 6359 | 15/52
105 h-m-p 0.3997 8.0000 0.7415 +C 4769.745954 0 1.5004 6452 | 15/52
106 h-m-p 1.6000 8.0000 0.3933 CC 4769.733401 1 2.2729 6546 | 15/52
107 h-m-p 1.6000 8.0000 0.1659 CC 4769.722727 1 2.3953 6640 | 15/52
108 h-m-p 1.6000 8.0000 0.1323 YC 4769.719279 1 1.1887 6733 | 15/52
109 h-m-p 1.2436 8.0000 0.1265 C 4769.718667 0 1.3049 6825 | 15/52
110 h-m-p 1.6000 8.0000 0.0119 C 4769.718569 0 1.3269 6917 | 15/52
111 h-m-p 1.6000 8.0000 0.0019 Y 4769.718565 0 1.0276 7009 | 15/52
112 h-m-p 0.9197 8.0000 0.0021 C 4769.718565 0 0.9197 7101 | 15/52
113 h-m-p 1.6000 8.0000 0.0006 Y 4769.718565 0 3.0001 7193 | 15/52
114 h-m-p 1.6000 8.0000 0.0009 ---------Y 4769.718565 0 0.0000 7294
Out..
lnL = -4769.718565
7295 lfun, 29180 eigenQcodon, 1028595 P(t)
BEBing (dim = 4). This may take several minutes.
Calculating f(x_h|w): 10 categories 21 w sets.
Calculating f(X), the marginal likelihood.
log(fX) = -4795.499098 S = -4694.499653 -115.790248
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 161 patterns 15:46
did 20 / 161 patterns 15:46
did 30 / 161 patterns 15:46
did 40 / 161 patterns 15:46
did 50 / 161 patterns 15:46
did 60 / 161 patterns 15:46
did 70 / 161 patterns 15:46
did 80 / 161 patterns 15:46
did 90 / 161 patterns 15:46
did 100 / 161 patterns 15:46
did 110 / 161 patterns 15:46
did 120 / 161 patterns 15:46
did 130 / 161 patterns 15:46
did 140 / 161 patterns 15:46
did 150 / 161 patterns 15:47
did 160 / 161 patterns 15:47
did 161 / 161 patterns 15:47end of tree file.
Time used: 15:47
Model 7: beta
TREE # 1
(12, 16, ((((((((((11, 17, 18, 27, 8), 30), 28), ((7, (10, 15)), (20, 29))), 3), 13, 2, 25), 22), 21, 26, (4, (6, (5, 23), 9)), 1, 24), 19), 14)); MP score: 167
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
36
0.066153 0.041139 0.072370 0.029001 0.107548 0.052233 0.016812 0.038254 0.101693 0.047853 0.069498 0.101732 0.053460 0.033005 0.016423 0.020070 0.043350 0.087801 0.069598 0.088306 0.051587 0.079468 0.082893 0.053737 0.060621 0.025030 0.033007 0.101798 0.078245 0.053126 0.095272 0.055913 0.098505 0.088374 0.018960 0.052246 0.092582 0.056737 0.081797 0.025285 0.096849 0.085323 0.078358 0.015213 0.040285 0.045053 0.072040 3.867776 0.929896 1.184243
ntime & nrate & np: 47 1 50
Bounds (np=50):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.005000 0.005000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 99.000000 99.000000
Qfactor_NS = 5.038736
np = 50
lnL0 = -6425.608157
Iterating by ming2
Initial: fx= 6425.608157
x= 0.06615 0.04114 0.07237 0.02900 0.10755 0.05223 0.01681 0.03825 0.10169 0.04785 0.06950 0.10173 0.05346 0.03300 0.01642 0.02007 0.04335 0.08780 0.06960 0.08831 0.05159 0.07947 0.08289 0.05374 0.06062 0.02503 0.03301 0.10180 0.07825 0.05313 0.09527 0.05591 0.09851 0.08837 0.01896 0.05225 0.09258 0.05674 0.08180 0.02528 0.09685 0.08532 0.07836 0.01521 0.04028 0.04505 0.07204 3.86778 0.92990 1.18424
1 h-m-p 0.0000 0.0000 3797.2644 ++ 6062.795822 m 0.0000 55 | 1/50
2 h-m-p 0.0000 0.0000 6247.4953 ++ 6020.808932 m 0.0000 108 | 2/50
3 h-m-p 0.0000 0.0000 4437.7000 ++ 5983.894354 m 0.0000 161 | 2/50
4 h-m-p 0.0000 0.0000 9159.5901 ++ 5976.107262 m 0.0000 214 | 2/50
5 h-m-p 0.0000 0.0000 15875.3390 +YYYCYCCC 5960.470271 7 0.0000 278 | 2/50
6 h-m-p 0.0000 0.0000 7543.2628 ++ 5935.393795 m 0.0000 331 | 2/50
7 h-m-p 0.0000 0.0000 24429.2621 ++ 5820.693241 m 0.0000 384 | 2/50
8 h-m-p 0.0000 0.0000 32245.1847 ++ 5782.849697 m 0.0000 437 | 2/50
9 h-m-p 0.0000 0.0000 9489.5100 ++ 5755.180789 m 0.0000 490 | 2/50
10 h-m-p 0.0000 0.0000 85710.0802 ++ 5725.327851 m 0.0000 543 | 2/50
11 h-m-p 0.0000 0.0000 104039.7098 ++ 5697.335245 m 0.0000 596 | 3/50
12 h-m-p 0.0000 0.0000 20367.0846 ++ 5682.587564 m 0.0000 649 | 4/50
13 h-m-p 0.0000 0.0000 23870.1853 ++ 5435.661623 m 0.0000 702 | 4/50
14 h-m-p 0.0000 0.0000 120964.8731 +YYYCCC 5428.925185 5 0.0000 763 | 4/50
15 h-m-p 0.0000 0.0000 78220.0147 ++ 5424.503567 m 0.0000 816 | 4/50
16 h-m-p 0.0000 0.0000 123593.2338 +YYYCC 5417.172693 4 0.0000 875 | 4/50
17 h-m-p 0.0000 0.0000 33786.3571 ++ 5404.398593 m 0.0000 928 | 5/50
18 h-m-p 0.0000 0.0000 160166.3977 ++ 5252.081309 m 0.0000 981 | 6/50
19 h-m-p 0.0000 0.0000 75870.2500 +CYCCCCC 5197.705895 6 0.0000 1046 | 6/50
20 h-m-p 0.0000 0.0000 68353.6680 +CYCCC 5180.585058 4 0.0000 1107 | 6/50
21 h-m-p 0.0000 0.0000 60196.5603 +YCYCCC 5176.855693 5 0.0000 1169 | 6/50
22 h-m-p 0.0000 0.0000 115445.6163 ++ 5174.192077 m 0.0000 1222 | 6/50
23 h-m-p 0.0000 0.0000 500030.4106 ++ 5170.361563 m 0.0000 1275 | 7/50
24 h-m-p 0.0000 0.0000 56091.1500 ++ 5128.639752 m 0.0000 1328 | 8/50
25 h-m-p 0.0000 0.0000 32318.4780 ++ 5088.855994 m 0.0000 1381 | 9/50
26 h-m-p 0.0000 0.0000 57967.9369 ++ 5043.189161 m 0.0000 1434 | 9/50
27 h-m-p 0.0000 0.0000 30918.6000 ++ 5021.896147 m 0.0000 1487 | 10/50
28 h-m-p 0.0000 0.0000 83431.2979 ++ 5012.728458 m 0.0000 1540 | 10/50
29 h-m-p -0.0000 -0.0000 45257.4383
h-m-p: -8.43472208e-23 -4.21736104e-22 4.52574383e+04 5012.728458
.. | 10/50
30 h-m-p 0.0000 0.0000 75113.1626 YYCYYCCC 4964.060509 7 0.0000 1654 | 10/50
31 h-m-p 0.0000 0.0000 5553.0378 ++ 4911.516029 m 0.0000 1707 | 11/50
32 h-m-p 0.0000 0.0000 2545.8343 ++ 4887.505642 m 0.0000 1760 | 11/50
33 h-m-p 0.0000 0.0000 97208.8815 +YYCYCCC 4881.709777 6 0.0000 1823 | 11/50
34 h-m-p 0.0000 0.0000 37109.9906 ++ 4877.108512 m 0.0000 1876 | 12/50
35 h-m-p 0.0000 0.0000 55902.2913 +YYCYCCC 4872.307347 6 0.0000 1939 | 12/50
36 h-m-p 0.0000 0.0000 28354.1452 ++ 4862.268554 m 0.0000 1992 | 13/50
37 h-m-p 0.0000 0.0000 17304.7931 +YYYCYCCC 4854.431275 7 0.0000 2056 | 13/50
38 h-m-p 0.0000 0.0000 41098.6786 +CYCYYCCC 4838.924594 7 0.0000 2121 | 13/50
39 h-m-p 0.0000 0.0000 6919.5141 +YYCYC 4837.956318 4 0.0000 2180 | 13/50
40 h-m-p 0.0000 0.0000 6945.9111 ++ 4832.177407 m 0.0000 2233 | 14/50
41 h-m-p 0.0000 0.0000 10664.4345 ++ 4828.624298 m 0.0000 2286 | 15/50
42 h-m-p 0.0000 0.0000 412.6571 CCCC 4828.370298 3 0.0000 2345 | 15/50
43 h-m-p 0.0000 0.0000 473.2838 CYCCC 4828.144571 4 0.0000 2405 | 15/50
44 h-m-p 0.0000 0.0000 571.5094 +YCYC 4827.349996 3 0.0000 2463 | 15/50
45 h-m-p 0.0000 0.0000 1070.1576 +YCYCC 4826.080319 4 0.0000 2523 | 15/50
46 h-m-p 0.0000 0.0000 4790.5941 YCCCC 4820.820435 4 0.0000 2583 | 15/50
47 h-m-p 0.0000 0.0000 5096.4859 ++ 4814.342989 m 0.0000 2636 | 15/50
48 h-m-p 0.0000 0.0000 11210.6211 +YYYCCC 4808.264271 5 0.0000 2697 | 15/50
49 h-m-p 0.0000 0.0000 2076.2215 CYCCC 4806.114117 4 0.0000 2757 | 15/50
50 h-m-p 0.0000 0.0000 202.6030 CCCC 4805.749486 3 0.0000 2816 | 15/50
51 h-m-p 0.0000 0.0001 160.8042 +YCYC 4804.646106 3 0.0000 2874 | 15/50
52 h-m-p 0.0000 0.0001 138.0546 CYC 4804.487372 2 0.0000 2930 | 15/50
53 h-m-p 0.0000 0.0001 113.9407 CCC 4804.384315 2 0.0000 2987 | 15/50
54 h-m-p 0.0000 0.0002 87.0641 YC 4804.347973 1 0.0000 3041 | 15/50
55 h-m-p 0.0000 0.0002 35.1442 YC 4804.335853 1 0.0000 3095 | 15/50
56 h-m-p 0.0000 0.0009 57.1361 +C 4804.289715 0 0.0000 3149 | 15/50
57 h-m-p 0.0000 0.0004 154.8728 +YC 4804.148956 1 0.0000 3204 | 15/50
58 h-m-p 0.0000 0.0002 390.1669 YCCC 4803.824971 3 0.0000 3262 | 15/50
59 h-m-p 0.0000 0.0001 1194.6074 +CYCCC 4802.180159 4 0.0001 3323 | 15/50
60 h-m-p 0.0000 0.0001 1779.3138 CCCC 4800.927303 3 0.0000 3382 | 15/50
61 h-m-p 0.0000 0.0001 785.6153 CCC 4800.670587 2 0.0000 3439 | 15/50
62 h-m-p 0.0001 0.0006 85.5932 YC 4800.651887 1 0.0000 3493 | 15/50
63 h-m-p 0.0000 0.0012 31.6947 CC 4800.641075 1 0.0000 3548 | 15/50
64 h-m-p 0.0000 0.0183 53.1968 +++YC 4799.109511 1 0.0041 3605 | 15/50
65 h-m-p 0.0000 0.0002 564.5646 CC 4799.067134 1 0.0000 3660 | 15/50
66 h-m-p 0.0082 0.2043 0.7037 ++YCYYCCC 4796.183799 6 0.1573 3724 | 15/50
67 h-m-p 0.0881 0.5339 1.2565 YCCC 4792.825532 3 0.2009 3817 | 15/50
68 h-m-p 0.1739 0.8697 0.9229 YCCC 4791.539413 3 0.3681 3875 | 15/50
69 h-m-p 0.4146 2.0731 0.3450 CCCC 4790.624549 3 0.5123 3969 | 15/50
70 h-m-p 0.2907 1.7904 0.6079 CCCC 4789.873521 3 0.3684 4063 | 15/50
71 h-m-p 0.2379 1.1893 0.3309 YCCC 4789.242518 3 0.4899 4156 | 15/50
72 h-m-p 0.6120 3.1767 0.2649 CC 4788.681898 1 0.6102 4246 | 15/50
73 h-m-p 0.7481 5.4359 0.2161 CCC 4787.651305 2 1.1873 4338 | 15/50
74 h-m-p 1.3127 6.5637 0.1658 CCCC 4786.402482 3 1.3517 4432 | 15/50
75 h-m-p 0.5816 2.9081 0.2788 YCYCCC 4784.443274 5 1.5417 4528 | 15/50
76 h-m-p 0.1260 0.6300 0.5231 +CYC 4783.713332 2 0.4118 4620 | 15/50
77 h-m-p 0.0297 0.1484 0.4546 YYYCCCCC 4783.590851 7 0.0356 4719 | 15/50
78 h-m-p 0.1829 1.0150 0.0884 +YCYC 4783.143861 3 0.5303 4812 | 15/50
79 h-m-p 0.0846 0.4232 0.4813 YCCC 4782.766396 3 0.0485 4905 | 15/50
80 h-m-p 0.6508 5.6441 0.0359 +YCC 4782.266568 2 2.0462 4997 | 15/50
81 h-m-p 0.3938 1.9690 0.0391 +YCCC 4781.857799 3 1.2411 5091 | 15/50
82 h-m-p 0.1372 0.6859 0.0291 ++ 4781.547567 m 0.6859 5179 | 15/50
83 h-m-p 0.5688 6.7506 0.0351
QuantileBeta(0.05, 0.00769, 0.12157) = 2.743914e-161 2000 rounds
CYC 4781.330997 2 0.6724 5270 | 15/50
84 h-m-p 0.2628 5.2536 0.0897 +YC 4781.086545 1 0.6619 5360 | 15/50
85 h-m-p 0.5924 2.9619 0.0760 +YC 4780.887248 1 1.4982 5450 | 15/50
86 h-m-p 1.6000 8.0000 0.0408 C 4780.741687 0 1.6178 5538 | 15/50
87 h-m-p 1.6000 8.0000 0.0117 CCC 4780.649417 2 1.6909 5630 | 15/50
88 h-m-p 0.8687 8.0000 0.0227 YC 4780.582034 1 1.8008 5719 | 15/50
89 h-m-p 1.6000 8.0000 0.0135 CYC 4780.535300 2 1.4207 5810 | 15/50
90 h-m-p 0.8215 8.0000 0.0233 +YC 4780.509105 1 2.1419 5900 | 15/50
91 h-m-p 1.6000 8.0000 0.0148 CC 4780.477378 1 2.2754 5990 | 15/50
92 h-m-p 1.6000 8.0000 0.0110 CC 4780.451164 1 2.0442 6080 | 15/50
93 h-m-p 1.6000 8.0000 0.0064 CC 4780.432430 1 2.3247 6170 | 15/50
94 h-m-p 1.6000 8.0000 0.0057 YC 4780.404020 1 3.9475 6259 | 15/50
95 h-m-p 1.6000 8.0000 0.0071 CC 4780.366530 1 2.5374 6349 | 15/50
96 h-m-p 1.6000 8.0000 0.0106 CC 4780.343307 1 2.1574 6439 | 15/50
97 h-m-p 1.6000 8.0000 0.0108 YC 4780.318465 1 2.8721 6528 | 15/50
98 h-m-p 1.6000 8.0000 0.0129 CC 4780.289227 1 2.2205 6618 | 15/50
99 h-m-p 0.8866 8.0000 0.0323 YC 4780.265030 1 2.0698 6707 | 15/50
100 h-m-p 1.6000 8.0000 0.0111 +YC 4780.224444 1 4.0829 6797 | 15/50
101 h-m-p 1.6000 8.0000 0.0184 +YC 4780.159960 1 4.0618 6887 | 15/50
102 h-m-p 1.6000 8.0000 0.0162 YC 4780.119640 1 2.6982 6976 | 15/50
103 h-m-p 1.6000 8.0000 0.0084 YC 4780.079866 1 2.7733 7065 | 15/50
104 h-m-p 1.6000 8.0000 0.0100 CC 4780.057529 1 2.0694 7155 | 15/50
105 h-m-p 1.6000 8.0000 0.0068 CC 4780.039761 1 2.5552 7245 | 15/50
106 h-m-p 1.6000 8.0000 0.0050 CC 4780.026912 1 2.2229 7335 | 15/50
107 h-m-p 1.6000 8.0000 0.0032 YC 4780.009672 1 3.7863 7424 | 15/50
108 h-m-p 1.5842 8.0000 0.0076 YC 4779.984835 1 3.1516 7513 | 15/50
109 h-m-p 1.6000 8.0000 0.0055 YC 4779.955162 1 3.3586 7602 | 15/50
110 h-m-p 1.6000 8.0000 0.0034 CC 4779.944961 1 2.0179 7692 | 15/50
111 h-m-p 1.6000 8.0000 0.0016 ++ 4779.909745 m 8.0000 7780 | 15/50
112 h-m-p 1.6000 8.0000 0.0008 CCC 4779.884984 2 1.8287 7872 | 15/50
113 h-m-p 0.2840 8.0000 0.0052 +C 4779.883330 0 1.2248 7961 | 15/50
114 h-m-p 1.6000 8.0000 0.0007 Y 4779.883313 0 0.8304 8049 | 15/50
115 h-m-p 1.0342 8.0000 0.0005 C 4779.883312 0 0.2586 8137 | 15/50
116 h-m-p 0.3508 8.0000 0.0004 C 4779.883312 0 0.3508 8225 | 15/50
117 h-m-p 0.1995 8.0000 0.0007 -------Y 4779.883312 0 0.0000 8320
Out..
lnL = -4779.883312
8321 lfun, 91531 eigenQcodon, 3910870 P(t)
end of tree file.
Time used: 44:33
Model 8: beta&w>1
TREE # 1
(12, 16, ((((((((((11, 17, 18, 27, 8), 30), 28), ((7, (10, 15)), (20, 29))), 3), 13, 2, 25), 22), 21, 26, (4, (6, (5, 23), 9)), 1, 24), 19), 14)); MP score: 167
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
36
0.059640 0.015296 0.094085 0.076045 0.079315 0.017812 0.106802 0.055768 0.092730 0.017334 0.076131 0.104768 0.025494 0.082805 0.059061 0.106769 0.048755 0.054522 0.082304 0.041532 0.096285 0.100992 0.108347 0.069000 0.063499 0.047170 0.010796 0.090303 0.036844 0.103778 0.044917 0.102807 0.076992 0.102377 0.074346 0.041391 0.054288 0.015897 0.089879 0.073144 0.109871 0.019298 0.031291 0.087666 0.090929 0.020059 0.098125 3.448243 0.900000 1.101602 1.734997 1.300000
ntime & nrate & np: 47 2 52
Bounds (np=52):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.000010 0.005000 0.005000 1.000000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 0.999990 99.000000 99.000000 999.000000
Qfactor_NS = 5.189760
np = 52
lnL0 = -6530.194321
Iterating by ming2
Initial: fx= 6530.194321
x= 0.05964 0.01530 0.09408 0.07605 0.07931 0.01781 0.10680 0.05577 0.09273 0.01733 0.07613 0.10477 0.02549 0.08280 0.05906 0.10677 0.04875 0.05452 0.08230 0.04153 0.09628 0.10099 0.10835 0.06900 0.06350 0.04717 0.01080 0.09030 0.03684 0.10378 0.04492 0.10281 0.07699 0.10238 0.07435 0.04139 0.05429 0.01590 0.08988 0.07314 0.10987 0.01930 0.03129 0.08767 0.09093 0.02006 0.09812 3.44824 0.90000 1.10160 1.73500 1.30000
1 h-m-p 0.0000 0.0000 3623.1035 ++ 6103.570159 m 0.0000 57 | 0/52
2 h-m-p 0.0000 0.0000 110104.9628 ++ 6098.808104 m 0.0000 112 | 0/52
3 h-m-p 0.0000 0.0000 227013.6272 ++ 6093.383651 m 0.0000 167 | 1/52
4 h-m-p 0.0000 0.0000 146945.3895 ++ 5985.078351 m 0.0000 222 | 2/52
5 h-m-p 0.0000 0.0000 781291.0690 ++ 5763.411560 m 0.0000 277 | 3/52
6 h-m-p 0.0000 0.0000 1286161.1123 ++ 5574.841531 m 0.0000 332 | 4/52
7 h-m-p 0.0000 0.0000 80364.6739 ++ 5490.084562 m 0.0000 387 | 4/52
8 h-m-p 0.0000 0.0000 180571.4624 ++ 5438.792891 m 0.0000 442 | 4/52
9 h-m-p 0.0000 0.0000 220611.9277 +YCCCCC 5406.643966 5 0.0000 508 | 4/52
10 h-m-p 0.0000 0.0000 236921.4797 +CYYCCCC 5399.525795 6 0.0000 574 | 4/52
11 h-m-p 0.0000 0.0000 100325.5069 ++ 5395.107115 m 0.0000 629 | 5/52
12 h-m-p 0.0000 0.0000 41460.6025 ++ 5346.622900 m 0.0000 684 | 5/52
13 h-m-p 0.0000 0.0000 16445.6927
h-m-p: 1.52964450e-23 7.64822252e-23 1.64456927e+04 5346.622900
.. | 4/52
14 h-m-p 0.0000 0.0000 93500.4090 -YYCYYCCC 5327.281332 7 0.0000 803 | 4/52
15 h-m-p 0.0000 0.0000 5227.7532 ++ 5279.854873 m 0.0000 858 | 5/52
16 h-m-p 0.0000 0.0000 5157.1438 ++ 5224.303207 m 0.0000 913 | 6/52
17 h-m-p 0.0000 0.0000 373389.9983 ++ 5158.890960 m 0.0000 968 | 7/52
18 h-m-p 0.0000 0.0000 417092.5530 ++ 5122.006267 m 0.0000 1023 | 8/52
19 h-m-p 0.0000 0.0000 126498.2954 ++ 5099.274775 m 0.0000 1078 | 9/52
20 h-m-p 0.0000 0.0000 90727.1361 ++ 5062.655773 m 0.0000 1133 | 10/52
21 h-m-p 0.0000 0.0000 28759.5806 ++ 5026.700564 m 0.0000 1188 | 10/52
22 h-m-p 0.0000 0.0000 93436.7636 ++ 5025.087475 m 0.0000 1243 | 11/52
23 h-m-p 0.0000 0.0000 16397.8271 ++ 5001.508402 m 0.0000 1298 | 12/52
24 h-m-p 0.0000 0.0000 6961.7008 ++ 4992.041245 m 0.0000 1353 | 12/52
25 h-m-p -0.0000 -0.0000 6411.7324
h-m-p: -0.00000000e+00 -0.00000000e+00 6.41173244e+03 4992.041245
.. | 12/52
26 h-m-p 0.0000 0.0000 235681.1468 --CYCYYYC 4987.212064 6 0.0000 1470 | 12/52
27 h-m-p 0.0000 0.0000 3686.7889 ++ 4960.306318 m 0.0000 1525 | 12/52
28 h-m-p 0.0000 0.0000 246512.4545 ++ 4955.971926 m 0.0000 1580 | 13/52
29 h-m-p 0.0000 0.0000 4070.3298 ++ 4934.551622 m 0.0000 1635 | 13/52
30 h-m-p 0.0000 0.0000 60456.5461 ++ 4934.236972 m 0.0000 1690 | 14/52
31 h-m-p 0.0000 0.0000 16879.8604 ++ 4931.705967 m 0.0000 1745 | 15/52
32 h-m-p 0.0000 0.0000 7294.0388 +YYYCYCCC 4924.155187 7 0.0000 1811 | 15/52
33 h-m-p 0.0000 0.0000 8565.5080 ++ 4921.880059 m 0.0000 1866 | 16/52
34 h-m-p 0.0000 0.0000 2402.2425 +YYCYCCC 4913.373013 6 0.0000 1932 | 15/52
35 h-m-p 0.0000 0.0000 2251.4378 +YCYCC 4912.406348 4 0.0000 1994 | 15/52
36 h-m-p 0.0000 0.0000 6977.1609 +YCCCC 4908.789799 4 0.0000 2057 | 15/52
37 h-m-p 0.0000 0.0000 1360.6846 CYC 4908.042153 2 0.0000 2115 | 15/52
38 h-m-p 0.0000 0.0000 1177.2259 +YCC 4906.685135 2 0.0000 2174 | 15/52
39 h-m-p 0.0000 0.0000 433.0088 +CCC 4905.078296 2 0.0000 2234 | 15/52
40 h-m-p 0.0000 0.0000 434.4421 +YCCC 4903.733415 3 0.0000 2295 | 15/52
41 h-m-p 0.0000 0.0001 849.2153 YCY 4902.152583 2 0.0000 2353 | 15/52
42 h-m-p 0.0000 0.0001 1604.7847 +YYYCCC 4894.658583 5 0.0000 2416 | 15/52
43 h-m-p 0.0000 0.0000 9461.3017 ++ 4882.113438 m 0.0000 2471 | 16/52
44 h-m-p 0.0000 0.0000 2349.4117 +YYYCYCYC 4876.399368 7 0.0000 2537 | 16/52
45 h-m-p 0.0000 0.0000 2220.0870 CYCCC 4873.456786 4 0.0000 2599 | 16/52
46 h-m-p 0.0000 0.0000 366.0676 CCCC 4873.262359 3 0.0000 2660 | 16/52
47 h-m-p 0.0000 0.0001 153.4177 CC 4873.171902 1 0.0000 2717 | 16/52
48 h-m-p 0.0000 0.0004 145.3370 +YC 4872.975276 1 0.0000 2774 | 16/52
49 h-m-p 0.0000 0.0002 531.7661 +YYC 4872.301971 2 0.0000 2832 | 16/52
50 h-m-p 0.0000 0.0002 1628.6128 +YYYYYC 4869.524268 5 0.0001 2893 | 16/52
51 h-m-p 0.0000 0.0001 7955.6912 +YYYCCCC 4855.834473 6 0.0000 2958 | 16/52
52 h-m-p 0.0000 0.0000 59537.2987 +CYYYCCCC 4846.890931 7 0.0000 3025 | 16/52
53 h-m-p 0.0000 0.0000 49574.5429 YCYCCC 4844.901700 5 0.0000 3088 | 16/52
54 h-m-p 0.0000 0.0000 11113.3443 CCC 4844.346878 2 0.0000 3147 | 16/52
55 h-m-p 0.0000 0.0000 3885.6376 CCCC 4843.870521 3 0.0000 3208 | 16/52
56 h-m-p 0.0000 0.0001 1194.1283 CCC 4843.449766 2 0.0000 3267 | 16/52
57 h-m-p 0.0000 0.0000 1232.5979 YCCC 4842.737994 3 0.0000 3327 | 16/52
58 h-m-p 0.0000 0.0000 3183.0225 ++ 4841.156663 m 0.0000 3382 | 16/52
59 h-m-p -0.0000 -0.0000 15295.0371
h-m-p: -0.00000000e+00 -0.00000000e+00 1.52950371e+04 4841.156663
.. | 16/52
60 h-m-p 0.0000 0.0000 236560.4236 --YCYYYYYC 4832.835237 7 0.0000 3499 | 16/52
61 h-m-p 0.0000 0.0000 9131.6783 CCYCCC 4818.394615 5 0.0000 3564 | 16/52
62 h-m-p 0.0000 0.0000 2190.1264 +YYYYYC 4804.819402 5 0.0000 3625 | 16/52
63 h-m-p 0.0000 0.0000 2390.9001 +YCCC 4801.069484 3 0.0000 3686 | 16/52
64 h-m-p 0.0000 0.0000 1808.2380 +YYYCYCCC 4795.797928 7 0.0000 3752 | 16/52
65 h-m-p 0.0000 0.0000 618.6992 YCCCC 4795.506995 4 0.0000 3814 | 16/52
66 h-m-p 0.0000 0.0000 649.8333 YYC 4794.860053 2 0.0000 3871 | 16/52
67 h-m-p 0.0000 0.0000 373.5165 CC 4794.568403 1 0.0000 3928 | 16/52
68 h-m-p 0.0000 0.0000 314.3658 YC 4794.505339 1 0.0000 3984 | 16/52
69 h-m-p 0.0000 0.0000 235.0995 YYC 4794.437030 2 0.0000 4041 | 16/52
70 h-m-p 0.0000 0.0001 289.3070 YCC 4794.340254 2 0.0000 4099 | 16/52
71 h-m-p 0.0000 0.0001 342.5780 CCC 4794.192831 2 0.0000 4158 | 16/52
72 h-m-p 0.0000 0.0000 762.3944 CC 4793.969467 1 0.0000 4215 | 16/52
73 h-m-p 0.0000 0.0000 1178.7852 YCCC 4793.399161 3 0.0000 4275 | 16/52
74 h-m-p 0.0000 0.0000 5152.3853 YCCC 4791.968420 3 0.0000 4335 | 16/52
75 h-m-p 0.0000 0.0000 5019.8645 +YYCCC 4789.936111 4 0.0000 4397 | 16/52
76 h-m-p 0.0000 0.0000 18635.0204 CCCC 4788.537016 3 0.0000 4458 | 16/52
77 h-m-p 0.0000 0.0000 4231.6159 YYYYC 4787.463079 4 0.0000 4517 | 16/52
78 h-m-p 0.0000 0.0000 967.7808 CCC 4787.184276 2 0.0000 4576 | 15/52
79 h-m-p 0.0000 0.0000 1815.2842 YCYC 4785.128724 3 0.0000 4635 | 15/52
80 h-m-p 0.0000 0.0001 418.2982 YC 4784.988571 1 0.0000 4691 | 15/52
81 h-m-p 0.0000 0.0001 276.6012 YC 4784.928192 1 0.0000 4747 | 15/52
82 h-m-p 0.0000 0.0003 44.5079 YC 4784.921852 1 0.0000 4803 | 15/52
83 h-m-p 0.0000 0.0004 17.2284 CC 4784.921024 1 0.0000 4860 | 15/52
84 h-m-p 0.0000 0.0032 7.3757 C 4784.920463 0 0.0000 4915 | 15/52
85 h-m-p 0.0000 0.0031 16.3171 +YC 4784.917140 1 0.0001 4972 | 15/52
86 h-m-p 0.0000 0.0032 123.9833 +++YCC 4784.754509 2 0.0004 5033 | 15/52
87 h-m-p 0.0000 0.0005 5523.4245 +YC 4783.145195 1 0.0001 5090 | 15/52
88 h-m-p 0.0000 0.0001 21336.8637 CCCC 4781.843514 3 0.0000 5151 | 15/52
89 h-m-p 0.0000 0.0001 5601.3354 YYC 4781.531275 2 0.0000 5208 | 15/52
90 h-m-p 0.0001 0.0005 434.5405 -CC 4781.517896 1 0.0000 5266 | 15/52
91 h-m-p 0.0001 0.0009 45.7640 YC 4781.515889 1 0.0000 5322 | 15/52
92 h-m-p 0.0000 0.0056 28.5635 +YC 4781.499866 1 0.0002 5379 | 15/52
93 h-m-p 0.0000 0.0014 484.2359 ++YCCC 4781.054842 3 0.0003 5441 | 15/52
94 h-m-p 0.0000 0.0001 11061.2745 +YC 4779.951302 1 0.0000 5498 | 15/52
95 h-m-p 0.0000 0.0001 2494.0257 YC 4779.859196 1 0.0000 5554 | 15/52
96 h-m-p 0.0172 0.6262 1.8972 ++CYCCC 4777.364692 4 0.3742 5618 | 15/52
97 h-m-p 0.3250 1.6248 0.8462 CCC 4775.958740 2 0.3585 5677 | 15/52
98 h-m-p 0.3538 1.7690 0.1723 YCCC 4775.444347 3 0.7176 5774 | 15/52
99 h-m-p 0.4465 2.4132 0.2769 YCCC 4775.095386 3 0.8436 5871 | 15/52
100 h-m-p 0.9735 4.8674 0.2287 CCCC 4774.759865 3 1.4658 5969 | 15/52
101 h-m-p 1.1695 6.3266 0.2866 CCCC 4774.268272 3 1.9189 6067 | 15/52
102 h-m-p 0.5233 2.6166 0.5842 CYCCC 4773.841169 4 0.9005 6166 | 15/52
103 h-m-p 0.6969 3.4846 0.5599 YC 4773.202767 1 1.5874 6259 | 15/52
104 h-m-p 0.7281 3.6404 0.9104 YCCCC 4772.500083 4 1.5508 6358 | 15/52
105 h-m-p 0.7554 3.7769 1.6798 CYC 4772.268748 2 0.2480 6453 | 15/52
106 h-m-p 0.2812 3.9988 1.4814 +YCCCC 4771.738224 4 1.3415 6516 | 15/52
107 h-m-p 0.9531 4.7654 1.2642 CCC 4771.406073 2 1.3005 6575 | 15/52
108 h-m-p 1.1315 5.6575 1.3408 CCC 4771.126627 2 1.3581 6634 | 15/52
109 h-m-p 0.9971 4.9857 1.7074 CC 4770.981391 1 0.9971 6691 | 15/52
110 h-m-p 1.3072 6.5362 1.2357 YCC 4770.899459 2 0.8121 6749 | 15/52
111 h-m-p 0.9905 8.0000 1.0132 CCC 4770.859665 2 1.2723 6808 | 15/52
112 h-m-p 1.6000 8.0000 0.4607 YCC 4770.843151 2 0.9447 6866 | 15/52
113 h-m-p 0.5413 7.0725 0.8041 CCC 4770.819671 2 0.8838 6962 | 15/52
114 h-m-p 0.9042 5.6422 0.7859 YCYCYC 4770.748715 5 2.3488 7062 | 15/52
115 h-m-p 0.3874 1.9368 0.6532 YYYCCCCC 4770.704385 7 0.5361 7165 | 15/52
116 h-m-p 0.1235 0.6176 2.4337 +YCYC 4770.656110 3 0.3154 7262 | 15/52
117 h-m-p 0.3863 1.9315 0.5286 YYYC 4770.626892 3 0.3200 7320 | 15/52
118 h-m-p 0.0379 4.3856 4.4619 +YC 4770.588079 1 0.2481 7414 | 15/52
119 h-m-p 1.2862 8.0000 0.8608 YC 4770.462736 1 2.5588 7470 | 15/52
120 h-m-p 1.6000 8.0000 1.2409 YYYC 4770.383366 3 1.5488 7565 | 15/52
121 h-m-p 0.4277 2.1386 0.0835 YCCCC 4770.363123 4 0.5951 7627 | 15/52
122 h-m-p 0.0732 8.0000 0.6791 +CYC 4770.339439 2 0.3160 7723 | 15/52
123 h-m-p 0.5094 4.0396 0.4212 +YYYY 4770.309955 3 1.9443 7819 | 15/52
124 h-m-p 0.7577 3.7883 0.2531 CYC 4770.293016 2 1.1264 7914 | 15/52
125 h-m-p 0.1449 0.7247 0.1053 +YCYC 4770.277996 3 0.4123 8011 | 15/52
126 h-m-p 0.1515 8.0000 0.2866 +YC 4770.275813 1 0.4263 8105 | 15/52
127 h-m-p 0.7315 8.0000 0.1670 +CC 4770.254830 1 2.7759 8200 | 15/52
128 h-m-p 1.6000 8.0000 0.1786 +YC 4770.201691 1 4.1956 8294 | 15/52
129 h-m-p 1.6000 8.0000 0.3845 YYC 4770.175273 2 1.3296 8388 | 15/52
130 h-m-p 1.6000 8.0000 0.0242 C 4770.165134 0 1.5161 8480 | 15/52
131 h-m-p 1.2893 8.0000 0.0285 C 4770.162879 0 1.3057 8572 | 15/52
132 h-m-p 1.6000 8.0000 0.0112 Y 4770.162238 0 1.2683 8664 | 15/52
133 h-m-p 0.8434 8.0000 0.0169 Y 4770.162060 0 1.6848 8756 | 15/52
134 h-m-p 1.6000 8.0000 0.0008 C 4770.162003 0 1.7300 8848 | 15/52
135 h-m-p 0.4584 8.0000 0.0030 +C 4770.161993 0 1.5753 8941 | 15/52
136 h-m-p 0.5335 8.0000 0.0087 C 4770.161993 0 0.1122 9033 | 15/52
137 h-m-p 0.0369 8.0000 0.0265 ---Y 4770.161993 0 0.0001 9128 | 15/52
138 h-m-p 0.0160 8.0000 0.0069 +++Y 4770.161984 0 0.6997 9223 | 15/52
139 h-m-p 1.6000 8.0000 0.0023 Y 4770.161983 0 0.2554 9315 | 15/52
140 h-m-p 0.2541 8.0000 0.0023 -----C 4770.161983 0 0.0001 9412 | 15/52
141 h-m-p 0.0160 8.0000 0.0808 Y 4770.161983 0 0.0272 9504 | 15/52
142 h-m-p 0.0576 8.0000 0.0381 --------------.. | 15/52
143 h-m-p 0.0000 0.0066 0.5574 -C 4770.161983 0 0.0000 9701 | 15/52
144 h-m-p 0.0001 0.0342 0.2189 -Y 4770.161983 0 0.0000 9794 | 15/52
145 h-m-p 0.0000 0.0212 0.1933 -Y 4770.161983 0 0.0000 9887 | 15/52
146 h-m-p 0.0001 0.0488 0.1498 --------C 4770.161983 0 0.0000 9987 | 15/52
147 h-m-p 0.0000 0.0003 25.6299 --------.. | 15/52
148 h-m-p 0.0000 0.0012 2.7074 -Y 4770.161980 0 0.0000 10141 | 15/52
149 h-m-p 0.0000 0.0096 0.4802 Y 4770.161979 0 0.0000 10196 | 15/52
150 h-m-p 0.0001 0.0467 0.1494 -Y 4770.161979 0 0.0000 10289 | 15/52
151 h-m-p 0.0001 0.0681 0.1392 --Y 4770.161979 0 0.0000 10383 | 15/52
152 h-m-p 0.0002 0.0874 0.0740 -C 4770.161979 0 0.0000 10476 | 15/52
153 h-m-p 0.0003 0.1479 0.0671 ----Y 4770.161979 0 0.0000 10572 | 15/52
154 h-m-p 0.0004 0.1978 0.0347 ----------.. | 15/52
155 h-m-p 0.0022 1.0939 2.1723 ------------ | 15/52
156 h-m-p 0.0022 1.0939 2.1723 ------------
Out..
lnL = -4770.161979
10877 lfun, 130524 eigenQcodon, 5623409 P(t)
BEBing (dim = 4). This may take several minutes.
Calculating f(x_h|w): 10 categories 20 w sets.
Calculating f(X), the marginal likelihood.
log(fX) = -4801.771075 S = -4694.307578 -134.601349
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 161 patterns 1:24:05
did 20 / 161 patterns 1:24:05
did 30 / 161 patterns 1:24:06
did 40 / 161 patterns 1:24:06
did 50 / 161 patterns 1:24:06
did 60 / 161 patterns 1:24:06
did 70 / 161 patterns 1:24:06
did 80 / 161 patterns 1:24:07
did 90 / 161 patterns 1:24:07
did 100 / 161 patterns 1:24:07
did 110 / 161 patterns 1:24:07
did 120 / 161 patterns 1:24:07
did 130 / 161 patterns 1:24:08
did 140 / 161 patterns 1:24:08
did 150 / 161 patterns 1:24:08
did 160 / 161 patterns 1:24:08
did 161 / 161 patterns 1:24:08end of tree file.
Time used: 1:24:08
The loglikelihoods for models M1, M2, M7 and M8 are -4778.011112 -4769.718565 -4779.883312 -4770.161979 respectively
The loglikelihood for model M2a is significantly different from that for M1a. Twice the difference is 16.585094
The loglikelihood for model M8 is significantly different from that for M7. Twice the difference is 19.442666
CLUSTAL W (1.8) multiple sequence alignment (ALTER 1.3.3)
MEX_Mexico329_2014_nsp9_VIPR_ALG4_825144419_12548_15327_1_2014_04_24_Mexico_Swine_PEDV STDMAYLNRVRGSSAAR--------------LEPCNGTDTQHVYRAFDIYNKDVACLGKF
IA1_nsp9_VIPR_ALG4_551485556_12593_15372_1_2013_USA_Swine_PEDV STDYGLFKR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
GDS10_nsp9_VIPR_ALG4_AWV57047_1_12593_15372_1_2013_01_16_China_Swine_PEDV STDYGLFKR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
CH_SCZJ_2018_nsp9_VIPR_ALG4_AZL47227_1_12593_15372_1_2018_02_06_China_Swine_PEDV STDMAYLNR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
PC22A_P95_13_nsp9_VIPR_ALG4_1134617050_12568_15347_1_2015_06_01_USA_Swine_PEDV STDMAYLNR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
CH_SCLS_2018_nsp9_VIPR_ALG4_AZL47221_1_12593_15372_1_2018_01_12_China_Swine_PEDV STDMAYLNR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
GDS05_nsp9_VIPR_ALG4_QCQ19797_1_12593_15372_1_2012_02_08_China_Swine_PEDV STDYGLFKR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
PEDV_GER_L00927_K20_14_02_2014_nsp9_VIPR_ALG4_SNQ27984_1_12593_15372_1_NA_NA_Unknown_PEDV STDYGLFK--------------RVRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
ZJ15XS0101_P1_nsp9_VIPR_ALG4_AQT33893_1_12593_15372_1_2015_01_16_China_Swine_PEDV STDMAYLNEYGALVQLDYGLFKRVRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
GDS42_nsp9_VIPR_ALG4_QCQ20019_1_12593_15372_1_2011_09_25_China_Swine_PEDV STDYGLFKR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
PEDV_GER_L00933_K22_14_05_2014_nsp9_VIPR_ALG4_SNQ28063_1_12593_15372_1_NA_NA_Unknown_PEDV STDYGLFK--------------RVRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
USA_OK10240_6_2017_nsp9_VIPR_ALG4_AVI57395_1_12593_15372_1_2017_02_07_USA_Swine_PEDV STDMAYLN--------------RVRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
CH_SD01_nsp9_VIPR_ALG4_1009101428_12593_15372_1_2015_05_01_China_Swine_PEDV STDYGLFKR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
USA_Colorado47_2013_nsp9_VIPR_ALG4_658130351_12558_15337_1_2013_10_23_USA_Swine_PEDV STDMAYLNEYGALVQLDYGLFKRVRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
GDS35_nsp9_VIPR_ALG4_QCQ20001_1_12593_15372_1_2013_12_07_China_Swine_PEDV STDYGLFKR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
USA_Oklahoma1_2015_nsp9_VIPR_ALG4_825144391_12548_15327_1_2014_12_12_USA_Swine_PEDV STDMAYLN--------------RVRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
PEDV_GER_L00926_K20_4_01_2014_nsp9_VIPR_ALG4_SNQ27892_1_12593_15372_1_NA_NA_Unknown_PEDV STDYGLFK--------------RVRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
PEDV_GER_L01015_K01_15_05_2015_nsp9_VIPR_ALG4_SNQ28056_1_12593_15372_1_NA_NA_Unknown_PEDV STDYGLFK--------------RVRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
USA_Ohio123_2014_nsp9_VIPR_ALG4_658130687_12558_15337_1_2013_12_15_USA_Swine_PEDV STDMAYLNEYGALVQLDYGLFKRVRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
GDS33_nsp9_VIPR_ALG4_QCQ19899_1_12593_15372_1_2014_07_28_China_Swine_PEDV STDYGLFKR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
USA_Illinois255_2014_nsp9_VIPR_ALG4_825144447_12548_15327_1_2014_03_11_USA_Swine_PEDV STDMAYLNR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
PC177_nsp9_VIPR_ALG4_893707341_12582_15361_1_2013_12_USA_Swine_PEDV STDMAYLKR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
USA_Iowa106_2013_nsp9_VIPR_ALG4_658130659_12558_15337_1_2013_12_29_USA_Swine_PEDV STDMAYLNEYGALVQLDYGLFKRVRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
USA_IA_2013_49379_nsp9_VIPR_ALG4_874010821_12593_15372_1_2013_12_09_USA_Swine_PEDV STDMAYLNR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
KGS_1_JPN_2013_nsp9_VIPR_ALG4_948549151_12535_15314_1_2013_12_Japan_Pig_PEDV STDYGLFKR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
USA_Michigan189_2014_nsp9_VIPR_ALG4_825144706_12548_15327_1_2014_02_17_USA_Swine_PEDV STDMAYLN--------------RVRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
PEDV_GER_L01060_K07_15_02_2015_nsp9_VIPR_ALG4_SNQ27906_1_12593_15372_1_NA_NA_Unknown_PEDV STDYGLFK--------------RVRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
OH15962_nsp9_VIPR_ALG4_641452901_12593_15372_1_2013_06_14_USA_Swine_PEDV STDYGLFKR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
UNKNOWN_MT843278_nsp9_VIPR_ALG4_QMU85400_1_12594_15373_1_2019_12_China_Unknown_PEDV STEYGLFK--------------RVRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
COL_Antioquia09796_2015_nsp9_VIPR_ALG4_QGQ60311_1_12581_15360_1_2015_07_30_Colombia_Swine_PEDV STDNGLFKR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKF
**: . :: *****************************
MEX_Mexico329_2014_nsp9_VIPR_ALG4_825144419_12548_15327_1_2014_04_24_Mexico_Swine_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYG
IA1_nsp9_VIPR_ALG4_551485556_12593_15372_1_2013_USA_Swine_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYG
GDS10_nsp9_VIPR_ALG4_AWV57047_1_12593_15372_1_2013_01_16_China_Swine_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYG
CH_SCZJ_2018_nsp9_VIPR_ALG4_AZL47227_1_12593_15372_1_2018_02_06_China_Swine_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYG
PC22A_P95_13_nsp9_VIPR_ALG4_1134617050_12568_15347_1_2015_06_01_USA_Swine_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYG
CH_SCLS_2018_nsp9_VIPR_ALG4_AZL47221_1_12593_15372_1_2018_01_12_China_Swine_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYG
GDS05_nsp9_VIPR_ALG4_QCQ19797_1_12593_15372_1_2012_02_08_China_Swine_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYG
PEDV_GER_L00927_K20_14_02_2014_nsp9_VIPR_ALG4_SNQ27984_1_12593_15372_1_NA_NA_Unknown_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYG
ZJ15XS0101_P1_nsp9_VIPR_ALG4_AQT33893_1_12593_15372_1_2015_01_16_China_Swine_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYG
GDS42_nsp9_VIPR_ALG4_QCQ20019_1_12593_15372_1_2011_09_25_China_Swine_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFIWKDGRAIYG
PEDV_GER_L00933_K22_14_05_2014_nsp9_VIPR_ALG4_SNQ28063_1_12593_15372_1_NA_NA_Unknown_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYG
USA_OK10240_6_2017_nsp9_VIPR_ALG4_AVI57395_1_12593_15372_1_2017_02_07_USA_Swine_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFIWKDGRAIYG
CH_SD01_nsp9_VIPR_ALG4_1009101428_12593_15372_1_2015_05_01_China_Swine_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYG
USA_Colorado47_2013_nsp9_VIPR_ALG4_658130351_12558_15337_1_2013_10_23_USA_Swine_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYG
GDS35_nsp9_VIPR_ALG4_QCQ20001_1_12593_15372_1_2013_12_07_China_Swine_PEDV LKVNCVRLKNLDKHDALYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFIWKDGRAIYG
USA_Oklahoma1_2015_nsp9_VIPR_ALG4_825144391_12548_15327_1_2014_12_12_USA_Swine_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYG
PEDV_GER_L00926_K20_4_01_2014_nsp9_VIPR_ALG4_SNQ27892_1_12593_15372_1_NA_NA_Unknown_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYG
PEDV_GER_L01015_K01_15_05_2015_nsp9_VIPR_ALG4_SNQ28056_1_12593_15372_1_NA_NA_Unknown_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYG
USA_Ohio123_2014_nsp9_VIPR_ALG4_658130687_12558_15337_1_2013_12_15_USA_Swine_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYG
GDS33_nsp9_VIPR_ALG4_QCQ19899_1_12593_15372_1_2014_07_28_China_Swine_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYG
USA_Illinois255_2014_nsp9_VIPR_ALG4_825144447_12548_15327_1_2014_03_11_USA_Swine_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYG
PC177_nsp9_VIPR_ALG4_893707341_12582_15361_1_2013_12_USA_Swine_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYG
USA_Iowa106_2013_nsp9_VIPR_ALG4_658130659_12558_15337_1_2013_12_29_USA_Swine_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYG
USA_IA_2013_49379_nsp9_VIPR_ALG4_874010821_12593_15372_1_2013_12_09_USA_Swine_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYG
KGS_1_JPN_2013_nsp9_VIPR_ALG4_948549151_12535_15314_1_2013_12_Japan_Pig_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYG
USA_Michigan189_2014_nsp9_VIPR_ALG4_825144706_12548_15327_1_2014_02_17_USA_Swine_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYG
PEDV_GER_L01060_K07_15_02_2015_nsp9_VIPR_ALG4_SNQ27906_1_12593_15372_1_NA_NA_Unknown_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYG
OH15962_nsp9_VIPR_ALG4_641452901_12593_15372_1_2013_06_14_USA_Swine_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYG
UNKNOWN_MT843278_nsp9_VIPR_ALG4_QMU85400_1_12594_15373_1_2019_12_China_Unknown_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYG
COL_Antioquia09796_2015_nsp9_VIPR_ALG4_QGQ60311_1_12581_15360_1_2015_07_30_Colombia_Swine_PEDV LKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYG
****************:********************************* *********
MEX_Mexico329_2014_nsp9_VIPR_ALG4_825144419_12548_15327_1_2014_04_24_Mexico_Swine_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
IA1_nsp9_VIPR_ALG4_551485556_12593_15372_1_2013_USA_Swine_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
GDS10_nsp9_VIPR_ALG4_AWV57047_1_12593_15372_1_2013_01_16_China_Swine_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
CH_SCZJ_2018_nsp9_VIPR_ALG4_AZL47227_1_12593_15372_1_2018_02_06_China_Swine_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
PC22A_P95_13_nsp9_VIPR_ALG4_1134617050_12568_15347_1_2015_06_01_USA_Swine_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
CH_SCLS_2018_nsp9_VIPR_ALG4_AZL47221_1_12593_15372_1_2018_01_12_China_Swine_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
GDS05_nsp9_VIPR_ALG4_QCQ19797_1_12593_15372_1_2012_02_08_China_Swine_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
PEDV_GER_L00927_K20_14_02_2014_nsp9_VIPR_ALG4_SNQ27984_1_12593_15372_1_NA_NA_Unknown_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKIGACEESYFNNKVWFDPVENEDIH
ZJ15XS0101_P1_nsp9_VIPR_ALG4_AQT33893_1_12593_15372_1_2015_01_16_China_Swine_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
GDS42_nsp9_VIPR_ALG4_QCQ20019_1_12593_15372_1_2011_09_25_China_Swine_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
PEDV_GER_L00933_K22_14_05_2014_nsp9_VIPR_ALG4_SNQ28063_1_12593_15372_1_NA_NA_Unknown_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
USA_OK10240_6_2017_nsp9_VIPR_ALG4_AVI57395_1_12593_15372_1_2017_02_07_USA_Swine_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
CH_SD01_nsp9_VIPR_ALG4_1009101428_12593_15372_1_2015_05_01_China_Swine_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
USA_Colorado47_2013_nsp9_VIPR_ALG4_658130351_12558_15337_1_2013_10_23_USA_Swine_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
GDS35_nsp9_VIPR_ALG4_QCQ20001_1_12593_15372_1_2013_12_07_China_Swine_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
USA_Oklahoma1_2015_nsp9_VIPR_ALG4_825144391_12548_15327_1_2014_12_12_USA_Swine_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
PEDV_GER_L00926_K20_4_01_2014_nsp9_VIPR_ALG4_SNQ27892_1_12593_15372_1_NA_NA_Unknown_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
PEDV_GER_L01015_K01_15_05_2015_nsp9_VIPR_ALG4_SNQ28056_1_12593_15372_1_NA_NA_Unknown_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
USA_Ohio123_2014_nsp9_VIPR_ALG4_658130687_12558_15337_1_2013_12_15_USA_Swine_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
GDS33_nsp9_VIPR_ALG4_QCQ19899_1_12593_15372_1_2014_07_28_China_Swine_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
USA_Illinois255_2014_nsp9_VIPR_ALG4_825144447_12548_15327_1_2014_03_11_USA_Swine_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
PC177_nsp9_VIPR_ALG4_893707341_12582_15361_1_2013_12_USA_Swine_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
USA_Iowa106_2013_nsp9_VIPR_ALG4_658130659_12558_15337_1_2013_12_29_USA_Swine_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
USA_IA_2013_49379_nsp9_VIPR_ALG4_874010821_12593_15372_1_2013_12_09_USA_Swine_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
KGS_1_JPN_2013_nsp9_VIPR_ALG4_948549151_12535_15314_1_2013_12_Japan_Pig_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
USA_Michigan189_2014_nsp9_VIPR_ALG4_825144706_12548_15327_1_2014_02_17_USA_Swine_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
PEDV_GER_L01060_K07_15_02_2015_nsp9_VIPR_ALG4_SNQ27906_1_12593_15372_1_NA_NA_Unknown_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
OH15962_nsp9_VIPR_ALG4_641452901_12593_15372_1_2013_06_14_USA_Swine_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
UNKNOWN_MT843278_nsp9_VIPR_ALG4_QMU85400_1_12594_15373_1_2019_12_China_Unknown_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
COL_Antioquia09796_2015_nsp9_VIPR_ALG4_QGQ60311_1_12581_15360_1_2015_07_30_Colombia_Swine_PEDV NVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIH
************************************:***********************
MEX_Mexico329_2014_nsp9_VIPR_ALG4_825144419_12548_15327_1_2014_04_24_Mexico_Swine_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
IA1_nsp9_VIPR_ALG4_551485556_12593_15372_1_2013_USA_Swine_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
GDS10_nsp9_VIPR_ALG4_AWV57047_1_12593_15372_1_2013_01_16_China_Swine_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
CH_SCZJ_2018_nsp9_VIPR_ALG4_AZL47227_1_12593_15372_1_2018_02_06_China_Swine_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
PC22A_P95_13_nsp9_VIPR_ALG4_1134617050_12568_15347_1_2015_06_01_USA_Swine_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
CH_SCLS_2018_nsp9_VIPR_ALG4_AZL47221_1_12593_15372_1_2018_01_12_China_Swine_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
GDS05_nsp9_VIPR_ALG4_QCQ19797_1_12593_15372_1_2012_02_08_China_Swine_PEDV RVYAVLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
PEDV_GER_L00927_K20_14_02_2014_nsp9_VIPR_ALG4_SNQ27984_1_12593_15372_1_NA_NA_Unknown_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
ZJ15XS0101_P1_nsp9_VIPR_ALG4_AQT33893_1_12593_15372_1_2015_01_16_China_Swine_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
GDS42_nsp9_VIPR_ALG4_QCQ20019_1_12593_15372_1_2011_09_25_China_Swine_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
PEDV_GER_L00933_K22_14_05_2014_nsp9_VIPR_ALG4_SNQ28063_1_12593_15372_1_NA_NA_Unknown_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
USA_OK10240_6_2017_nsp9_VIPR_ALG4_AVI57395_1_12593_15372_1_2017_02_07_USA_Swine_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
CH_SD01_nsp9_VIPR_ALG4_1009101428_12593_15372_1_2015_05_01_China_Swine_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
USA_Colorado47_2013_nsp9_VIPR_ALG4_658130351_12558_15337_1_2013_10_23_USA_Swine_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
GDS35_nsp9_VIPR_ALG4_QCQ20001_1_12593_15372_1_2013_12_07_China_Swine_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
USA_Oklahoma1_2015_nsp9_VIPR_ALG4_825144391_12548_15327_1_2014_12_12_USA_Swine_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
PEDV_GER_L00926_K20_4_01_2014_nsp9_VIPR_ALG4_SNQ27892_1_12593_15372_1_NA_NA_Unknown_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
PEDV_GER_L01015_K01_15_05_2015_nsp9_VIPR_ALG4_SNQ28056_1_12593_15372_1_NA_NA_Unknown_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
USA_Ohio123_2014_nsp9_VIPR_ALG4_658130687_12558_15337_1_2013_12_15_USA_Swine_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
GDS33_nsp9_VIPR_ALG4_QCQ19899_1_12593_15372_1_2014_07_28_China_Swine_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
USA_Illinois255_2014_nsp9_VIPR_ALG4_825144447_12548_15327_1_2014_03_11_USA_Swine_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
PC177_nsp9_VIPR_ALG4_893707341_12582_15361_1_2013_12_USA_Swine_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
USA_Iowa106_2013_nsp9_VIPR_ALG4_658130659_12558_15337_1_2013_12_29_USA_Swine_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
USA_IA_2013_49379_nsp9_VIPR_ALG4_874010821_12593_15372_1_2013_12_09_USA_Swine_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
KGS_1_JPN_2013_nsp9_VIPR_ALG4_948549151_12535_15314_1_2013_12_Japan_Pig_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
USA_Michigan189_2014_nsp9_VIPR_ALG4_825144706_12548_15327_1_2014_02_17_USA_Swine_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
PEDV_GER_L01060_K07_15_02_2015_nsp9_VIPR_ALG4_SNQ27906_1_12593_15372_1_NA_NA_Unknown_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
OH15962_nsp9_VIPR_ALG4_641452901_12593_15372_1_2013_06_14_USA_Swine_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
UNKNOWN_MT843278_nsp9_VIPR_ALG4_QMU85400_1_12594_15373_1_2019_12_China_Unknown_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
COL_Antioquia09796_2015_nsp9_VIPR_ALG4_QGQ60311_1_12581_15360_1_2015_07_30_Colombia_Swine_PEDV RVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIP
****:*******************************************************
MEX_Mexico329_2014_nsp9_VIPR_ALG4_825144419_12548_15327_1_2014_04_24_Mexico_Swine_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWG
IA1_nsp9_VIPR_ALG4_551485556_12593_15372_1_2013_USA_Swine_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTAIFNKYFKYWG
GDS10_nsp9_VIPR_ALG4_AWV57047_1_12593_15372_1_2013_01_16_China_Swine_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWG
CH_SCZJ_2018_nsp9_VIPR_ALG4_AZL47227_1_12593_15372_1_2018_02_06_China_Swine_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWG
PC22A_P95_13_nsp9_VIPR_ALG4_1134617050_12568_15347_1_2015_06_01_USA_Swine_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWG
CH_SCLS_2018_nsp9_VIPR_ALG4_AZL47221_1_12593_15372_1_2018_01_12_China_Swine_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWG
GDS05_nsp9_VIPR_ALG4_QCQ19797_1_12593_15372_1_2012_02_08_China_Swine_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWG
PEDV_GER_L00927_K20_14_02_2014_nsp9_VIPR_ALG4_SNQ27984_1_12593_15372_1_NA_NA_Unknown_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWG
ZJ15XS0101_P1_nsp9_VIPR_ALG4_AQT33893_1_12593_15372_1_2015_01_16_China_Swine_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWG
GDS42_nsp9_VIPR_ALG4_QCQ20019_1_12593_15372_1_2011_09_25_China_Swine_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTSLFNKYFKYWG
PEDV_GER_L00933_K22_14_05_2014_nsp9_VIPR_ALG4_SNQ28063_1_12593_15372_1_NA_NA_Unknown_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWG
USA_OK10240_6_2017_nsp9_VIPR_ALG4_AVI57395_1_12593_15372_1_2017_02_07_USA_Swine_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWG
CH_SD01_nsp9_VIPR_ALG4_1009101428_12593_15372_1_2015_05_01_China_Swine_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWG
USA_Colorado47_2013_nsp9_VIPR_ALG4_658130351_12558_15337_1_2013_10_23_USA_Swine_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWG
GDS35_nsp9_VIPR_ALG4_QCQ20001_1_12593_15372_1_2013_12_07_China_Swine_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTSLFNKYFKYWG
USA_Oklahoma1_2015_nsp9_VIPR_ALG4_825144391_12548_15327_1_2014_12_12_USA_Swine_PEDV ICTSYYAYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWG
PEDV_GER_L00926_K20_4_01_2014_nsp9_VIPR_ALG4_SNQ27892_1_12593_15372_1_NA_NA_Unknown_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWG
PEDV_GER_L01015_K01_15_05_2015_nsp9_VIPR_ALG4_SNQ28056_1_12593_15372_1_NA_NA_Unknown_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWG
USA_Ohio123_2014_nsp9_VIPR_ALG4_658130687_12558_15337_1_2013_12_15_USA_Swine_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWG
GDS33_nsp9_VIPR_ALG4_QCQ19899_1_12593_15372_1_2014_07_28_China_Swine_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWG
USA_Illinois255_2014_nsp9_VIPR_ALG4_825144447_12548_15327_1_2014_03_11_USA_Swine_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWG
PC177_nsp9_VIPR_ALG4_893707341_12582_15361_1_2013_12_USA_Swine_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWG
USA_Iowa106_2013_nsp9_VIPR_ALG4_658130659_12558_15337_1_2013_12_29_USA_Swine_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWG
USA_IA_2013_49379_nsp9_VIPR_ALG4_874010821_12593_15372_1_2013_12_09_USA_Swine_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWG
KGS_1_JPN_2013_nsp9_VIPR_ALG4_948549151_12535_15314_1_2013_12_Japan_Pig_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWG
USA_Michigan189_2014_nsp9_VIPR_ALG4_825144706_12548_15327_1_2014_02_17_USA_Swine_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWG
PEDV_GER_L01060_K07_15_02_2015_nsp9_VIPR_ALG4_SNQ27906_1_12593_15372_1_NA_NA_Unknown_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWG
OH15962_nsp9_VIPR_ALG4_641452901_12593_15372_1_2013_06_14_USA_Swine_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWG
UNKNOWN_MT843278_nsp9_VIPR_ALG4_QMU85400_1_12594_15373_1_2019_12_China_Unknown_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEGFKSYDLLEYDFTEHKTALFNKYFKYWG
COL_Antioquia09796_2015_nsp9_VIPR_ALG4_QGQ60311_1_12581_15360_1_2015_07_30_Colombia_Swine_PEDV ICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWG
******:*************************.****************::*********
MEX_Mexico329_2014_nsp9_VIPR_ALG4_825144419_12548_15327_1_2014_04_24_Mexico_Swine_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
IA1_nsp9_VIPR_ALG4_551485556_12593_15372_1_2013_USA_Swine_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
GDS10_nsp9_VIPR_ALG4_AWV57047_1_12593_15372_1_2013_01_16_China_Swine_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
CH_SCZJ_2018_nsp9_VIPR_ALG4_AZL47227_1_12593_15372_1_2018_02_06_China_Swine_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
PC22A_P95_13_nsp9_VIPR_ALG4_1134617050_12568_15347_1_2015_06_01_USA_Swine_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
CH_SCLS_2018_nsp9_VIPR_ALG4_AZL47221_1_12593_15372_1_2018_01_12_China_Swine_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
GDS05_nsp9_VIPR_ALG4_QCQ19797_1_12593_15372_1_2012_02_08_China_Swine_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
PEDV_GER_L00927_K20_14_02_2014_nsp9_VIPR_ALG4_SNQ27984_1_12593_15372_1_NA_NA_Unknown_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
ZJ15XS0101_P1_nsp9_VIPR_ALG4_AQT33893_1_12593_15372_1_2015_01_16_China_Swine_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
GDS42_nsp9_VIPR_ALG4_QCQ20019_1_12593_15372_1_2011_09_25_China_Swine_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
PEDV_GER_L00933_K22_14_05_2014_nsp9_VIPR_ALG4_SNQ28063_1_12593_15372_1_NA_NA_Unknown_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
USA_OK10240_6_2017_nsp9_VIPR_ALG4_AVI57395_1_12593_15372_1_2017_02_07_USA_Swine_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
CH_SD01_nsp9_VIPR_ALG4_1009101428_12593_15372_1_2015_05_01_China_Swine_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
USA_Colorado47_2013_nsp9_VIPR_ALG4_658130351_12558_15337_1_2013_10_23_USA_Swine_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
GDS35_nsp9_VIPR_ALG4_QCQ20001_1_12593_15372_1_2013_12_07_China_Swine_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
USA_Oklahoma1_2015_nsp9_VIPR_ALG4_825144391_12548_15327_1_2014_12_12_USA_Swine_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
PEDV_GER_L00926_K20_4_01_2014_nsp9_VIPR_ALG4_SNQ27892_1_12593_15372_1_NA_NA_Unknown_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
PEDV_GER_L01015_K01_15_05_2015_nsp9_VIPR_ALG4_SNQ28056_1_12593_15372_1_NA_NA_Unknown_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
USA_Ohio123_2014_nsp9_VIPR_ALG4_658130687_12558_15337_1_2013_12_15_USA_Swine_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
GDS33_nsp9_VIPR_ALG4_QCQ19899_1_12593_15372_1_2014_07_28_China_Swine_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
USA_Illinois255_2014_nsp9_VIPR_ALG4_825144447_12548_15327_1_2014_03_11_USA_Swine_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
PC177_nsp9_VIPR_ALG4_893707341_12582_15361_1_2013_12_USA_Swine_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
USA_Iowa106_2013_nsp9_VIPR_ALG4_658130659_12558_15337_1_2013_12_29_USA_Swine_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
USA_IA_2013_49379_nsp9_VIPR_ALG4_874010821_12593_15372_1_2013_12_09_USA_Swine_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
KGS_1_JPN_2013_nsp9_VIPR_ALG4_948549151_12535_15314_1_2013_12_Japan_Pig_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
USA_Michigan189_2014_nsp9_VIPR_ALG4_825144706_12548_15327_1_2014_02_17_USA_Swine_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
PEDV_GER_L01060_K07_15_02_2015_nsp9_VIPR_ALG4_SNQ27906_1_12593_15372_1_NA_NA_Unknown_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
OH15962_nsp9_VIPR_ALG4_641452901_12593_15372_1_2013_06_14_USA_Swine_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
UNKNOWN_MT843278_nsp9_VIPR_ALG4_QMU85400_1_12594_15373_1_2019_12_China_Unknown_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
COL_Antioquia09796_2015_nsp9_VIPR_ALG4_QGQ60311_1_12581_15360_1_2015_07_30_Colombia_Swine_PEDV LQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQL
************************************************************
MEX_Mexico329_2014_nsp9_VIPR_ALG4_825144419_12548_15327_1_2014_04_24_Mexico_Swine_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
IA1_nsp9_VIPR_ALG4_551485556_12593_15372_1_2013_USA_Swine_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
GDS10_nsp9_VIPR_ALG4_AWV57047_1_12593_15372_1_2013_01_16_China_Swine_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
CH_SCZJ_2018_nsp9_VIPR_ALG4_AZL47227_1_12593_15372_1_2018_02_06_China_Swine_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
PC22A_P95_13_nsp9_VIPR_ALG4_1134617050_12568_15347_1_2015_06_01_USA_Swine_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
CH_SCLS_2018_nsp9_VIPR_ALG4_AZL47221_1_12593_15372_1_2018_01_12_China_Swine_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
GDS05_nsp9_VIPR_ALG4_QCQ19797_1_12593_15372_1_2012_02_08_China_Swine_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
PEDV_GER_L00927_K20_14_02_2014_nsp9_VIPR_ALG4_SNQ27984_1_12593_15372_1_NA_NA_Unknown_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
ZJ15XS0101_P1_nsp9_VIPR_ALG4_AQT33893_1_12593_15372_1_2015_01_16_China_Swine_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
GDS42_nsp9_VIPR_ALG4_QCQ20019_1_12593_15372_1_2011_09_25_China_Swine_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
PEDV_GER_L00933_K22_14_05_2014_nsp9_VIPR_ALG4_SNQ28063_1_12593_15372_1_NA_NA_Unknown_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
USA_OK10240_6_2017_nsp9_VIPR_ALG4_AVI57395_1_12593_15372_1_2017_02_07_USA_Swine_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
CH_SD01_nsp9_VIPR_ALG4_1009101428_12593_15372_1_2015_05_01_China_Swine_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
USA_Colorado47_2013_nsp9_VIPR_ALG4_658130351_12558_15337_1_2013_10_23_USA_Swine_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
GDS35_nsp9_VIPR_ALG4_QCQ20001_1_12593_15372_1_2013_12_07_China_Swine_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
USA_Oklahoma1_2015_nsp9_VIPR_ALG4_825144391_12548_15327_1_2014_12_12_USA_Swine_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
PEDV_GER_L00926_K20_4_01_2014_nsp9_VIPR_ALG4_SNQ27892_1_12593_15372_1_NA_NA_Unknown_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
PEDV_GER_L01015_K01_15_05_2015_nsp9_VIPR_ALG4_SNQ28056_1_12593_15372_1_NA_NA_Unknown_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
USA_Ohio123_2014_nsp9_VIPR_ALG4_658130687_12558_15337_1_2013_12_15_USA_Swine_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
GDS33_nsp9_VIPR_ALG4_QCQ19899_1_12593_15372_1_2014_07_28_China_Swine_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
USA_Illinois255_2014_nsp9_VIPR_ALG4_825144447_12548_15327_1_2014_03_11_USA_Swine_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
PC177_nsp9_VIPR_ALG4_893707341_12582_15361_1_2013_12_USA_Swine_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
USA_Iowa106_2013_nsp9_VIPR_ALG4_658130659_12558_15337_1_2013_12_29_USA_Swine_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
USA_IA_2013_49379_nsp9_VIPR_ALG4_874010821_12593_15372_1_2013_12_09_USA_Swine_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
KGS_1_JPN_2013_nsp9_VIPR_ALG4_948549151_12535_15314_1_2013_12_Japan_Pig_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
USA_Michigan189_2014_nsp9_VIPR_ALG4_825144706_12548_15327_1_2014_02_17_USA_Swine_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
PEDV_GER_L01060_K07_15_02_2015_nsp9_VIPR_ALG4_SNQ27906_1_12593_15372_1_NA_NA_Unknown_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
OH15962_nsp9_VIPR_ALG4_641452901_12593_15372_1_2013_06_14_USA_Swine_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
UNKNOWN_MT843278_nsp9_VIPR_ALG4_QMU85400_1_12594_15373_1_2019_12_China_Unknown_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
COL_Antioquia09796_2015_nsp9_VIPR_ALG4_QGQ60311_1_12581_15360_1_2015_07_30_Colombia_Swine_PEDV GIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVK
************************************************************
MEX_Mexico329_2014_nsp9_VIPR_ALG4_825144419_12548_15327_1_2014_04_24_Mexico_Swine_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
IA1_nsp9_VIPR_ALG4_551485556_12593_15372_1_2013_USA_Swine_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
GDS10_nsp9_VIPR_ALG4_AWV57047_1_12593_15372_1_2013_01_16_China_Swine_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
CH_SCZJ_2018_nsp9_VIPR_ALG4_AZL47227_1_12593_15372_1_2018_02_06_China_Swine_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
PC22A_P95_13_nsp9_VIPR_ALG4_1134617050_12568_15347_1_2015_06_01_USA_Swine_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
CH_SCLS_2018_nsp9_VIPR_ALG4_AZL47221_1_12593_15372_1_2018_01_12_China_Swine_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
GDS05_nsp9_VIPR_ALG4_QCQ19797_1_12593_15372_1_2012_02_08_China_Swine_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
PEDV_GER_L00927_K20_14_02_2014_nsp9_VIPR_ALG4_SNQ27984_1_12593_15372_1_NA_NA_Unknown_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
ZJ15XS0101_P1_nsp9_VIPR_ALG4_AQT33893_1_12593_15372_1_2015_01_16_China_Swine_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
GDS42_nsp9_VIPR_ALG4_QCQ20019_1_12593_15372_1_2011_09_25_China_Swine_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
PEDV_GER_L00933_K22_14_05_2014_nsp9_VIPR_ALG4_SNQ28063_1_12593_15372_1_NA_NA_Unknown_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
USA_OK10240_6_2017_nsp9_VIPR_ALG4_AVI57395_1_12593_15372_1_2017_02_07_USA_Swine_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
CH_SD01_nsp9_VIPR_ALG4_1009101428_12593_15372_1_2015_05_01_China_Swine_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
USA_Colorado47_2013_nsp9_VIPR_ALG4_658130351_12558_15337_1_2013_10_23_USA_Swine_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
GDS35_nsp9_VIPR_ALG4_QCQ20001_1_12593_15372_1_2013_12_07_China_Swine_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
USA_Oklahoma1_2015_nsp9_VIPR_ALG4_825144391_12548_15327_1_2014_12_12_USA_Swine_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
PEDV_GER_L00926_K20_4_01_2014_nsp9_VIPR_ALG4_SNQ27892_1_12593_15372_1_NA_NA_Unknown_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
PEDV_GER_L01015_K01_15_05_2015_nsp9_VIPR_ALG4_SNQ28056_1_12593_15372_1_NA_NA_Unknown_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
USA_Ohio123_2014_nsp9_VIPR_ALG4_658130687_12558_15337_1_2013_12_15_USA_Swine_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
GDS33_nsp9_VIPR_ALG4_QCQ19899_1_12593_15372_1_2014_07_28_China_Swine_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
USA_Illinois255_2014_nsp9_VIPR_ALG4_825144447_12548_15327_1_2014_03_11_USA_Swine_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
PC177_nsp9_VIPR_ALG4_893707341_12582_15361_1_2013_12_USA_Swine_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
USA_Iowa106_2013_nsp9_VIPR_ALG4_658130659_12558_15337_1_2013_12_29_USA_Swine_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
USA_IA_2013_49379_nsp9_VIPR_ALG4_874010821_12593_15372_1_2013_12_09_USA_Swine_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
KGS_1_JPN_2013_nsp9_VIPR_ALG4_948549151_12535_15314_1_2013_12_Japan_Pig_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
USA_Michigan189_2014_nsp9_VIPR_ALG4_825144706_12548_15327_1_2014_02_17_USA_Swine_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
PEDV_GER_L01060_K07_15_02_2015_nsp9_VIPR_ALG4_SNQ27906_1_12593_15372_1_NA_NA_Unknown_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
OH15962_nsp9_VIPR_ALG4_641452901_12593_15372_1_2013_06_14_USA_Swine_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
UNKNOWN_MT843278_nsp9_VIPR_ALG4_QMU85400_1_12594_15373_1_2019_12_China_Unknown_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
COL_Antioquia09796_2015_nsp9_VIPR_ALG4_QGQ60311_1_12581_15360_1_2015_07_30_Colombia_Swine_PEDV PGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARV
************************************************************
MEX_Mexico329_2014_nsp9_VIPR_ALG4_825144419_12548_15327_1_2014_04_24_Mexico_Swine_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
IA1_nsp9_VIPR_ALG4_551485556_12593_15372_1_2013_USA_Swine_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
GDS10_nsp9_VIPR_ALG4_AWV57047_1_12593_15372_1_2013_01_16_China_Swine_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
CH_SCZJ_2018_nsp9_VIPR_ALG4_AZL47227_1_12593_15372_1_2018_02_06_China_Swine_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
PC22A_P95_13_nsp9_VIPR_ALG4_1134617050_12568_15347_1_2015_06_01_USA_Swine_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDEFYAYT
CH_SCLS_2018_nsp9_VIPR_ALG4_AZL47221_1_12593_15372_1_2018_01_12_China_Swine_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
GDS05_nsp9_VIPR_ALG4_QCQ19797_1_12593_15372_1_2012_02_08_China_Swine_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
PEDV_GER_L00927_K20_14_02_2014_nsp9_VIPR_ALG4_SNQ27984_1_12593_15372_1_NA_NA_Unknown_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
ZJ15XS0101_P1_nsp9_VIPR_ALG4_AQT33893_1_12593_15372_1_2015_01_16_China_Swine_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSTGYPLNKFGKAGLYYESLSYEEQDELYAYT
GDS42_nsp9_VIPR_ALG4_QCQ20019_1_12593_15372_1_2011_09_25_China_Swine_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
PEDV_GER_L00933_K22_14_05_2014_nsp9_VIPR_ALG4_SNQ28063_1_12593_15372_1_NA_NA_Unknown_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
USA_OK10240_6_2017_nsp9_VIPR_ALG4_AVI57395_1_12593_15372_1_2017_02_07_USA_Swine_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
CH_SD01_nsp9_VIPR_ALG4_1009101428_12593_15372_1_2015_05_01_China_Swine_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
USA_Colorado47_2013_nsp9_VIPR_ALG4_658130351_12558_15337_1_2013_10_23_USA_Swine_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
GDS35_nsp9_VIPR_ALG4_QCQ20001_1_12593_15372_1_2013_12_07_China_Swine_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
USA_Oklahoma1_2015_nsp9_VIPR_ALG4_825144391_12548_15327_1_2014_12_12_USA_Swine_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
PEDV_GER_L00926_K20_4_01_2014_nsp9_VIPR_ALG4_SNQ27892_1_12593_15372_1_NA_NA_Unknown_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
PEDV_GER_L01015_K01_15_05_2015_nsp9_VIPR_ALG4_SNQ28056_1_12593_15372_1_NA_NA_Unknown_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
USA_Ohio123_2014_nsp9_VIPR_ALG4_658130687_12558_15337_1_2013_12_15_USA_Swine_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
GDS33_nsp9_VIPR_ALG4_QCQ19899_1_12593_15372_1_2014_07_28_China_Swine_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
USA_Illinois255_2014_nsp9_VIPR_ALG4_825144447_12548_15327_1_2014_03_11_USA_Swine_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
PC177_nsp9_VIPR_ALG4_893707341_12582_15361_1_2013_12_USA_Swine_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
USA_Iowa106_2013_nsp9_VIPR_ALG4_658130659_12558_15337_1_2013_12_29_USA_Swine_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
USA_IA_2013_49379_nsp9_VIPR_ALG4_874010821_12593_15372_1_2013_12_09_USA_Swine_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
KGS_1_JPN_2013_nsp9_VIPR_ALG4_948549151_12535_15314_1_2013_12_Japan_Pig_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
USA_Michigan189_2014_nsp9_VIPR_ALG4_825144706_12548_15327_1_2014_02_17_USA_Swine_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
PEDV_GER_L01060_K07_15_02_2015_nsp9_VIPR_ALG4_SNQ27906_1_12593_15372_1_NA_NA_Unknown_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
OH15962_nsp9_VIPR_ALG4_641452901_12593_15372_1_2013_06_14_USA_Swine_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
UNKNOWN_MT843278_nsp9_VIPR_ALG4_QMU85400_1_12594_15373_1_2019_12_China_Unknown_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
COL_Antioquia09796_2015_nsp9_VIPR_ALG4_QGQ60311_1_12581_15360_1_2015_07_30_Colombia_Swine_PEDV VYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYT
******************************:************************:****
MEX_Mexico329_2014_nsp9_VIPR_ALG4_825144419_12548_15327_1_2014_04_24_Mexico_Swine_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
IA1_nsp9_VIPR_ALG4_551485556_12593_15372_1_2013_USA_Swine_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTKGASVVIGT
GDS10_nsp9_VIPR_ALG4_AWV57047_1_12593_15372_1_2013_01_16_China_Swine_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
CH_SCZJ_2018_nsp9_VIPR_ALG4_AZL47227_1_12593_15372_1_2018_02_06_China_Swine_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
PC22A_P95_13_nsp9_VIPR_ALG4_1134617050_12568_15347_1_2015_06_01_USA_Swine_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
CH_SCLS_2018_nsp9_VIPR_ALG4_AZL47221_1_12593_15372_1_2018_01_12_China_Swine_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
GDS05_nsp9_VIPR_ALG4_QCQ19797_1_12593_15372_1_2012_02_08_China_Swine_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
PEDV_GER_L00927_K20_14_02_2014_nsp9_VIPR_ALG4_SNQ27984_1_12593_15372_1_NA_NA_Unknown_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
ZJ15XS0101_P1_nsp9_VIPR_ALG4_AQT33893_1_12593_15372_1_2015_01_16_China_Swine_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
GDS42_nsp9_VIPR_ALG4_QCQ20019_1_12593_15372_1_2011_09_25_China_Swine_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
PEDV_GER_L00933_K22_14_05_2014_nsp9_VIPR_ALG4_SNQ28063_1_12593_15372_1_NA_NA_Unknown_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
USA_OK10240_6_2017_nsp9_VIPR_ALG4_AVI57395_1_12593_15372_1_2017_02_07_USA_Swine_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
CH_SD01_nsp9_VIPR_ALG4_1009101428_12593_15372_1_2015_05_01_China_Swine_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
USA_Colorado47_2013_nsp9_VIPR_ALG4_658130351_12558_15337_1_2013_10_23_USA_Swine_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
GDS35_nsp9_VIPR_ALG4_QCQ20001_1_12593_15372_1_2013_12_07_China_Swine_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
USA_Oklahoma1_2015_nsp9_VIPR_ALG4_825144391_12548_15327_1_2014_12_12_USA_Swine_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
PEDV_GER_L00926_K20_4_01_2014_nsp9_VIPR_ALG4_SNQ27892_1_12593_15372_1_NA_NA_Unknown_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
PEDV_GER_L01015_K01_15_05_2015_nsp9_VIPR_ALG4_SNQ28056_1_12593_15372_1_NA_NA_Unknown_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
USA_Ohio123_2014_nsp9_VIPR_ALG4_658130687_12558_15337_1_2013_12_15_USA_Swine_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
GDS33_nsp9_VIPR_ALG4_QCQ19899_1_12593_15372_1_2014_07_28_China_Swine_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
USA_Illinois255_2014_nsp9_VIPR_ALG4_825144447_12548_15327_1_2014_03_11_USA_Swine_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
PC177_nsp9_VIPR_ALG4_893707341_12582_15361_1_2013_12_USA_Swine_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
USA_Iowa106_2013_nsp9_VIPR_ALG4_658130659_12558_15337_1_2013_12_29_USA_Swine_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
USA_IA_2013_49379_nsp9_VIPR_ALG4_874010821_12593_15372_1_2013_12_09_USA_Swine_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
KGS_1_JPN_2013_nsp9_VIPR_ALG4_948549151_12535_15314_1_2013_12_Japan_Pig_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
USA_Michigan189_2014_nsp9_VIPR_ALG4_825144706_12548_15327_1_2014_02_17_USA_Swine_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
PEDV_GER_L01060_K07_15_02_2015_nsp9_VIPR_ALG4_SNQ27906_1_12593_15372_1_NA_NA_Unknown_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
OH15962_nsp9_VIPR_ALG4_641452901_12593_15372_1_2013_06_14_USA_Swine_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
UNKNOWN_MT843278_nsp9_VIPR_ALG4_QMU85400_1_12594_15373_1_2019_12_China_Unknown_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
COL_Antioquia09796_2015_nsp9_VIPR_ALG4_QGQ60311_1_12581_15360_1_2015_07_30_Colombia_Swine_PEDV KRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGT
***************************************************:********
MEX_Mexico329_2014_nsp9_VIPR_ALG4_825144419_12548_15327_1_2014_04_24_Mexico_Swine_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDR
IA1_nsp9_VIPR_ALG4_551485556_12593_15372_1_2013_USA_Swine_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDR
GDS10_nsp9_VIPR_ALG4_AWV57047_1_12593_15372_1_2013_01_16_China_Swine_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDR
CH_SCZJ_2018_nsp9_VIPR_ALG4_AZL47227_1_12593_15372_1_2018_02_06_China_Swine_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDR
PC22A_P95_13_nsp9_VIPR_ALG4_1134617050_12568_15347_1_2015_06_01_USA_Swine_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDR
CH_SCLS_2018_nsp9_VIPR_ALG4_AZL47221_1_12593_15372_1_2018_01_12_China_Swine_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDR
GDS05_nsp9_VIPR_ALG4_QCQ19797_1_12593_15372_1_2012_02_08_China_Swine_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDR
PEDV_GER_L00927_K20_14_02_2014_nsp9_VIPR_ALG4_SNQ27984_1_12593_15372_1_NA_NA_Unknown_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDR
ZJ15XS0101_P1_nsp9_VIPR_ALG4_AQT33893_1_12593_15372_1_2015_01_16_China_Swine_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDR
GDS42_nsp9_VIPR_ALG4_QCQ20019_1_12593_15372_1_2011_09_25_China_Swine_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDR
PEDV_GER_L00933_K22_14_05_2014_nsp9_VIPR_ALG4_SNQ28063_1_12593_15372_1_NA_NA_Unknown_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDR
USA_OK10240_6_2017_nsp9_VIPR_ALG4_AVI57395_1_12593_15372_1_2017_02_07_USA_Swine_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRTISAMILGSKHTTCCSSTDR
CH_SD01_nsp9_VIPR_ALG4_1009101428_12593_15372_1_2015_05_01_China_Swine_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDR
USA_Colorado47_2013_nsp9_VIPR_ALG4_658130351_12558_15337_1_2013_10_23_USA_Swine_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRTISAMILGSKHTTCCSSTDR
GDS35_nsp9_VIPR_ALG4_QCQ20001_1_12593_15372_1_2013_12_07_China_Swine_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDR
USA_Oklahoma1_2015_nsp9_VIPR_ALG4_825144391_12548_15327_1_2014_12_12_USA_Swine_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRTISAMILGSKHTTCCSSTDR
PEDV_GER_L00926_K20_4_01_2014_nsp9_VIPR_ALG4_SNQ27892_1_12593_15372_1_NA_NA_Unknown_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDR
PEDV_GER_L01015_K01_15_05_2015_nsp9_VIPR_ALG4_SNQ28056_1_12593_15372_1_NA_NA_Unknown_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDR
USA_Ohio123_2014_nsp9_VIPR_ALG4_658130687_12558_15337_1_2013_12_15_USA_Swine_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDR
GDS33_nsp9_VIPR_ALG4_QCQ19899_1_12593_15372_1_2014_07_28_China_Swine_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDR
USA_Illinois255_2014_nsp9_VIPR_ALG4_825144447_12548_15327_1_2014_03_11_USA_Swine_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDR
PC177_nsp9_VIPR_ALG4_893707341_12582_15361_1_2013_12_USA_Swine_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDR
USA_Iowa106_2013_nsp9_VIPR_ALG4_658130659_12558_15337_1_2013_12_29_USA_Swine_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDR
USA_IA_2013_49379_nsp9_VIPR_ALG4_874010821_12593_15372_1_2013_12_09_USA_Swine_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDR
KGS_1_JPN_2013_nsp9_VIPR_ALG4_948549151_12535_15314_1_2013_12_Japan_Pig_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDR
USA_Michigan189_2014_nsp9_VIPR_ALG4_825144706_12548_15327_1_2014_02_17_USA_Swine_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDR
PEDV_GER_L01060_K07_15_02_2015_nsp9_VIPR_ALG4_SNQ27906_1_12593_15372_1_NA_NA_Unknown_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDR
OH15962_nsp9_VIPR_ALG4_641452901_12593_15372_1_2013_06_14_USA_Swine_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDR
UNKNOWN_MT843278_nsp9_VIPR_ALG4_QMU85400_1_12594_15373_1_2019_12_China_Unknown_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDR
COL_Antioquia09796_2015_nsp9_VIPR_ALG4_QGQ60311_1_12581_15360_1_2015_07_30_Colombia_Swine_PEDV TKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDR
**************************************** *******************
MEX_Mexico329_2014_nsp9_VIPR_ALG4_825144419_12548_15327_1_2014_04_24_Mexico_Swine_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
IA1_nsp9_VIPR_ALG4_551485556_12593_15372_1_2013_USA_Swine_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
GDS10_nsp9_VIPR_ALG4_AWV57047_1_12593_15372_1_2013_01_16_China_Swine_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
CH_SCZJ_2018_nsp9_VIPR_ALG4_AZL47227_1_12593_15372_1_2018_02_06_China_Swine_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
PC22A_P95_13_nsp9_VIPR_ALG4_1134617050_12568_15347_1_2015_06_01_USA_Swine_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
CH_SCLS_2018_nsp9_VIPR_ALG4_AZL47221_1_12593_15372_1_2018_01_12_China_Swine_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
GDS05_nsp9_VIPR_ALG4_QCQ19797_1_12593_15372_1_2012_02_08_China_Swine_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
PEDV_GER_L00927_K20_14_02_2014_nsp9_VIPR_ALG4_SNQ27984_1_12593_15372_1_NA_NA_Unknown_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
ZJ15XS0101_P1_nsp9_VIPR_ALG4_AQT33893_1_12593_15372_1_2015_01_16_China_Swine_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
GDS42_nsp9_VIPR_ALG4_QCQ20019_1_12593_15372_1_2011_09_25_China_Swine_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
PEDV_GER_L00933_K22_14_05_2014_nsp9_VIPR_ALG4_SNQ28063_1_12593_15372_1_NA_NA_Unknown_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
USA_OK10240_6_2017_nsp9_VIPR_ALG4_AVI57395_1_12593_15372_1_2017_02_07_USA_Swine_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
CH_SD01_nsp9_VIPR_ALG4_1009101428_12593_15372_1_2015_05_01_China_Swine_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
USA_Colorado47_2013_nsp9_VIPR_ALG4_658130351_12558_15337_1_2013_10_23_USA_Swine_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
GDS35_nsp9_VIPR_ALG4_QCQ20001_1_12593_15372_1_2013_12_07_China_Swine_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
USA_Oklahoma1_2015_nsp9_VIPR_ALG4_825144391_12548_15327_1_2014_12_12_USA_Swine_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
PEDV_GER_L00926_K20_4_01_2014_nsp9_VIPR_ALG4_SNQ27892_1_12593_15372_1_NA_NA_Unknown_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
PEDV_GER_L01015_K01_15_05_2015_nsp9_VIPR_ALG4_SNQ28056_1_12593_15372_1_NA_NA_Unknown_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
USA_Ohio123_2014_nsp9_VIPR_ALG4_658130687_12558_15337_1_2013_12_15_USA_Swine_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
GDS33_nsp9_VIPR_ALG4_QCQ19899_1_12593_15372_1_2014_07_28_China_Swine_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
USA_Illinois255_2014_nsp9_VIPR_ALG4_825144447_12548_15327_1_2014_03_11_USA_Swine_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
PC177_nsp9_VIPR_ALG4_893707341_12582_15361_1_2013_12_USA_Swine_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
USA_Iowa106_2013_nsp9_VIPR_ALG4_658130659_12558_15337_1_2013_12_29_USA_Swine_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
USA_IA_2013_49379_nsp9_VIPR_ALG4_874010821_12593_15372_1_2013_12_09_USA_Swine_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
KGS_1_JPN_2013_nsp9_VIPR_ALG4_948549151_12535_15314_1_2013_12_Japan_Pig_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
USA_Michigan189_2014_nsp9_VIPR_ALG4_825144706_12548_15327_1_2014_02_17_USA_Swine_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
PEDV_GER_L01060_K07_15_02_2015_nsp9_VIPR_ALG4_SNQ27906_1_12593_15372_1_NA_NA_Unknown_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
OH15962_nsp9_VIPR_ALG4_641452901_12593_15372_1_2013_06_14_USA_Swine_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
UNKNOWN_MT843278_nsp9_VIPR_ALG4_QMU85400_1_12594_15373_1_2019_12_China_Unknown_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
COL_Antioquia09796_2015_nsp9_VIPR_ALG4_QGQ60311_1_12581_15360_1_2015_07_30_Colombia_Swine_PEDV FFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVD
************************************************************
MEX_Mexico329_2014_nsp9_VIPR_ALG4_825144419_12548_15327_1_2014_04_24_Mexico_Swine_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYA
IA1_nsp9_VIPR_ALG4_551485556_12593_15372_1_2013_USA_Swine_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYA
GDS10_nsp9_VIPR_ALG4_AWV57047_1_12593_15372_1_2013_01_16_China_Swine_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYA
CH_SCZJ_2018_nsp9_VIPR_ALG4_AZL47227_1_12593_15372_1_2018_02_06_China_Swine_PEDV SNVCHNLEVRQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYA
PC22A_P95_13_nsp9_VIPR_ALG4_1134617050_12568_15347_1_2015_06_01_USA_Swine_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYA
CH_SCLS_2018_nsp9_VIPR_ALG4_AZL47221_1_12593_15372_1_2018_01_12_China_Swine_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYA
GDS05_nsp9_VIPR_ALG4_QCQ19797_1_12593_15372_1_2012_02_08_China_Swine_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYA
PEDV_GER_L00927_K20_14_02_2014_nsp9_VIPR_ALG4_SNQ27984_1_12593_15372_1_NA_NA_Unknown_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLCKHFSMMILSDDGVVCYNNDYA
ZJ15XS0101_P1_nsp9_VIPR_ALG4_AQT33893_1_12593_15372_1_2015_01_16_China_Swine_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYA
GDS42_nsp9_VIPR_ALG4_QCQ20019_1_12593_15372_1_2011_09_25_China_Swine_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYA
PEDV_GER_L00933_K22_14_05_2014_nsp9_VIPR_ALG4_SNQ28063_1_12593_15372_1_NA_NA_Unknown_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLCKHFSMMILSDDGVVCYNNDYA
USA_OK10240_6_2017_nsp9_VIPR_ALG4_AVI57395_1_12593_15372_1_2017_02_07_USA_Swine_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYA
CH_SD01_nsp9_VIPR_ALG4_1009101428_12593_15372_1_2015_05_01_China_Swine_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYA
USA_Colorado47_2013_nsp9_VIPR_ALG4_658130351_12558_15337_1_2013_10_23_USA_Swine_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYA
GDS35_nsp9_VIPR_ALG4_QCQ20001_1_12593_15372_1_2013_12_07_China_Swine_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYA
USA_Oklahoma1_2015_nsp9_VIPR_ALG4_825144391_12548_15327_1_2014_12_12_USA_Swine_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYA
PEDV_GER_L00926_K20_4_01_2014_nsp9_VIPR_ALG4_SNQ27892_1_12593_15372_1_NA_NA_Unknown_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLCKHFSMMILSDDGVVCYNNDYA
PEDV_GER_L01015_K01_15_05_2015_nsp9_VIPR_ALG4_SNQ28056_1_12593_15372_1_NA_NA_Unknown_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLCKHFSMMILSDDGVVCYNNDYA
USA_Ohio123_2014_nsp9_VIPR_ALG4_658130687_12558_15337_1_2013_12_15_USA_Swine_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYA
GDS33_nsp9_VIPR_ALG4_QCQ19899_1_12593_15372_1_2014_07_28_China_Swine_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYA
USA_Illinois255_2014_nsp9_VIPR_ALG4_825144447_12548_15327_1_2014_03_11_USA_Swine_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYA
PC177_nsp9_VIPR_ALG4_893707341_12582_15361_1_2013_12_USA_Swine_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYA
USA_Iowa106_2013_nsp9_VIPR_ALG4_658130659_12558_15337_1_2013_12_29_USA_Swine_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYA
USA_IA_2013_49379_nsp9_VIPR_ALG4_874010821_12593_15372_1_2013_12_09_USA_Swine_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYA
KGS_1_JPN_2013_nsp9_VIPR_ALG4_948549151_12535_15314_1_2013_12_Japan_Pig_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYA
USA_Michigan189_2014_nsp9_VIPR_ALG4_825144706_12548_15327_1_2014_02_17_USA_Swine_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYA
PEDV_GER_L01060_K07_15_02_2015_nsp9_VIPR_ALG4_SNQ27906_1_12593_15372_1_NA_NA_Unknown_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLCKHFSMMILSDDGVVCYNNDYA
OH15962_nsp9_VIPR_ALG4_641452901_12593_15372_1_2013_06_14_USA_Swine_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYA
UNKNOWN_MT843278_nsp9_VIPR_ALG4_QMU85400_1_12594_15373_1_2019_12_China_Unknown_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYA
COL_Antioquia09796_2015_nsp9_VIPR_ALG4_QGQ60311_1_12581_15360_1_2015_07_30_Colombia_Swine_PEDV SNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYA
*********:**************************** *********************
MEX_Mexico329_2014_nsp9_VIPR_ALG4_825144419_12548_15327_1_2014_04_24_Mexico_Swine_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
IA1_nsp9_VIPR_ALG4_551485556_12593_15372_1_2013_USA_Swine_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
GDS10_nsp9_VIPR_ALG4_AWV57047_1_12593_15372_1_2013_01_16_China_Swine_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
CH_SCZJ_2018_nsp9_VIPR_ALG4_AZL47227_1_12593_15372_1_2018_02_06_China_Swine_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
PC22A_P95_13_nsp9_VIPR_ALG4_1134617050_12568_15347_1_2015_06_01_USA_Swine_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
CH_SCLS_2018_nsp9_VIPR_ALG4_AZL47221_1_12593_15372_1_2018_01_12_China_Swine_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
GDS05_nsp9_VIPR_ALG4_QCQ19797_1_12593_15372_1_2012_02_08_China_Swine_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTIQIVDKDGTYYLPY
PEDV_GER_L00927_K20_14_02_2014_nsp9_VIPR_ALG4_SNQ27984_1_12593_15372_1_NA_NA_Unknown_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
ZJ15XS0101_P1_nsp9_VIPR_ALG4_AQT33893_1_12593_15372_1_2015_01_16_China_Swine_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
GDS42_nsp9_VIPR_ALG4_QCQ20019_1_12593_15372_1_2011_09_25_China_Swine_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
PEDV_GER_L00933_K22_14_05_2014_nsp9_VIPR_ALG4_SNQ28063_1_12593_15372_1_NA_NA_Unknown_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
USA_OK10240_6_2017_nsp9_VIPR_ALG4_AVI57395_1_12593_15372_1_2017_02_07_USA_Swine_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
CH_SD01_nsp9_VIPR_ALG4_1009101428_12593_15372_1_2015_05_01_China_Swine_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
USA_Colorado47_2013_nsp9_VIPR_ALG4_658130351_12558_15337_1_2013_10_23_USA_Swine_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
GDS35_nsp9_VIPR_ALG4_QCQ20001_1_12593_15372_1_2013_12_07_China_Swine_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
USA_Oklahoma1_2015_nsp9_VIPR_ALG4_825144391_12548_15327_1_2014_12_12_USA_Swine_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
PEDV_GER_L00926_K20_4_01_2014_nsp9_VIPR_ALG4_SNQ27892_1_12593_15372_1_NA_NA_Unknown_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
PEDV_GER_L01015_K01_15_05_2015_nsp9_VIPR_ALG4_SNQ28056_1_12593_15372_1_NA_NA_Unknown_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
USA_Ohio123_2014_nsp9_VIPR_ALG4_658130687_12558_15337_1_2013_12_15_USA_Swine_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
GDS33_nsp9_VIPR_ALG4_QCQ19899_1_12593_15372_1_2014_07_28_China_Swine_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
USA_Illinois255_2014_nsp9_VIPR_ALG4_825144447_12548_15327_1_2014_03_11_USA_Swine_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
PC177_nsp9_VIPR_ALG4_893707341_12582_15361_1_2013_12_USA_Swine_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
USA_Iowa106_2013_nsp9_VIPR_ALG4_658130659_12558_15337_1_2013_12_29_USA_Swine_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
USA_IA_2013_49379_nsp9_VIPR_ALG4_874010821_12593_15372_1_2013_12_09_USA_Swine_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
KGS_1_JPN_2013_nsp9_VIPR_ALG4_948549151_12535_15314_1_2013_12_Japan_Pig_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
USA_Michigan189_2014_nsp9_VIPR_ALG4_825144706_12548_15327_1_2014_02_17_USA_Swine_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
PEDV_GER_L01060_K07_15_02_2015_nsp9_VIPR_ALG4_SNQ27906_1_12593_15372_1_NA_NA_Unknown_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
OH15962_nsp9_VIPR_ALG4_641452901_12593_15372_1_2013_06_14_USA_Swine_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
UNKNOWN_MT843278_nsp9_VIPR_ALG4_QMU85400_1_12594_15373_1_2019_12_China_Unknown_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
COL_Antioquia09796_2015_nsp9_VIPR_ALG4_QGQ60311_1_12581_15360_1_2015_07_30_Colombia_Swine_PEDV SLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPY
**********************************************:*************
MEX_Mexico329_2014_nsp9_VIPR_ALG4_825144419_12548_15327_1_2014_04_24_Mexico_Swine_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
IA1_nsp9_VIPR_ALG4_551485556_12593_15372_1_2013_USA_Swine_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
GDS10_nsp9_VIPR_ALG4_AWV57047_1_12593_15372_1_2013_01_16_China_Swine_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
CH_SCZJ_2018_nsp9_VIPR_ALG4_AZL47227_1_12593_15372_1_2018_02_06_China_Swine_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
PC22A_P95_13_nsp9_VIPR_ALG4_1134617050_12568_15347_1_2015_06_01_USA_Swine_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
CH_SCLS_2018_nsp9_VIPR_ALG4_AZL47221_1_12593_15372_1_2018_01_12_China_Swine_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
GDS05_nsp9_VIPR_ALG4_QCQ19797_1_12593_15372_1_2012_02_08_China_Swine_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
PEDV_GER_L00927_K20_14_02_2014_nsp9_VIPR_ALG4_SNQ27984_1_12593_15372_1_NA_NA_Unknown_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
ZJ15XS0101_P1_nsp9_VIPR_ALG4_AQT33893_1_12593_15372_1_2015_01_16_China_Swine_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
GDS42_nsp9_VIPR_ALG4_QCQ20019_1_12593_15372_1_2011_09_25_China_Swine_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
PEDV_GER_L00933_K22_14_05_2014_nsp9_VIPR_ALG4_SNQ28063_1_12593_15372_1_NA_NA_Unknown_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
USA_OK10240_6_2017_nsp9_VIPR_ALG4_AVI57395_1_12593_15372_1_2017_02_07_USA_Swine_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
CH_SD01_nsp9_VIPR_ALG4_1009101428_12593_15372_1_2015_05_01_China_Swine_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
USA_Colorado47_2013_nsp9_VIPR_ALG4_658130351_12558_15337_1_2013_10_23_USA_Swine_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
GDS35_nsp9_VIPR_ALG4_QCQ20001_1_12593_15372_1_2013_12_07_China_Swine_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
USA_Oklahoma1_2015_nsp9_VIPR_ALG4_825144391_12548_15327_1_2014_12_12_USA_Swine_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
PEDV_GER_L00926_K20_4_01_2014_nsp9_VIPR_ALG4_SNQ27892_1_12593_15372_1_NA_NA_Unknown_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
PEDV_GER_L01015_K01_15_05_2015_nsp9_VIPR_ALG4_SNQ28056_1_12593_15372_1_NA_NA_Unknown_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
USA_Ohio123_2014_nsp9_VIPR_ALG4_658130687_12558_15337_1_2013_12_15_USA_Swine_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
GDS33_nsp9_VIPR_ALG4_QCQ19899_1_12593_15372_1_2014_07_28_China_Swine_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
USA_Illinois255_2014_nsp9_VIPR_ALG4_825144447_12548_15327_1_2014_03_11_USA_Swine_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
PC177_nsp9_VIPR_ALG4_893707341_12582_15361_1_2013_12_USA_Swine_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
USA_Iowa106_2013_nsp9_VIPR_ALG4_658130659_12558_15337_1_2013_12_29_USA_Swine_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
USA_IA_2013_49379_nsp9_VIPR_ALG4_874010821_12593_15372_1_2013_12_09_USA_Swine_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
KGS_1_JPN_2013_nsp9_VIPR_ALG4_948549151_12535_15314_1_2013_12_Japan_Pig_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
USA_Michigan189_2014_nsp9_VIPR_ALG4_825144706_12548_15327_1_2014_02_17_USA_Swine_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
PEDV_GER_L01060_K07_15_02_2015_nsp9_VIPR_ALG4_SNQ27906_1_12593_15372_1_NA_NA_Unknown_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
OH15962_nsp9_VIPR_ALG4_641452901_12593_15372_1_2013_06_14_USA_Swine_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
UNKNOWN_MT843278_nsp9_VIPR_ALG4_QMU85400_1_12594_15373_1_2019_12_China_Unknown_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
COL_Antioquia09796_2015_nsp9_VIPR_ALG4_QGQ60311_1_12581_15360_1_2015_07_30_Colombia_Swine_PEDV PDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHL
************************************************************
MEX_Mexico329_2014_nsp9_VIPR_ALG4_825144419_12548_15327_1_2014_04_24_Mexico_Swine_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
IA1_nsp9_VIPR_ALG4_551485556_12593_15372_1_2013_USA_Swine_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
GDS10_nsp9_VIPR_ALG4_AWV57047_1_12593_15372_1_2013_01_16_China_Swine_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
CH_SCZJ_2018_nsp9_VIPR_ALG4_AZL47227_1_12593_15372_1_2018_02_06_China_Swine_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
PC22A_P95_13_nsp9_VIPR_ALG4_1134617050_12568_15347_1_2015_06_01_USA_Swine_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
CH_SCLS_2018_nsp9_VIPR_ALG4_AZL47221_1_12593_15372_1_2018_01_12_China_Swine_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
GDS05_nsp9_VIPR_ALG4_QCQ19797_1_12593_15372_1_2012_02_08_China_Swine_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
PEDV_GER_L00927_K20_14_02_2014_nsp9_VIPR_ALG4_SNQ27984_1_12593_15372_1_NA_NA_Unknown_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
ZJ15XS0101_P1_nsp9_VIPR_ALG4_AQT33893_1_12593_15372_1_2015_01_16_China_Swine_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
GDS42_nsp9_VIPR_ALG4_QCQ20019_1_12593_15372_1_2011_09_25_China_Swine_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
PEDV_GER_L00933_K22_14_05_2014_nsp9_VIPR_ALG4_SNQ28063_1_12593_15372_1_NA_NA_Unknown_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
USA_OK10240_6_2017_nsp9_VIPR_ALG4_AVI57395_1_12593_15372_1_2017_02_07_USA_Swine_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
CH_SD01_nsp9_VIPR_ALG4_1009101428_12593_15372_1_2015_05_01_China_Swine_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
USA_Colorado47_2013_nsp9_VIPR_ALG4_658130351_12558_15337_1_2013_10_23_USA_Swine_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
GDS35_nsp9_VIPR_ALG4_QCQ20001_1_12593_15372_1_2013_12_07_China_Swine_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
USA_Oklahoma1_2015_nsp9_VIPR_ALG4_825144391_12548_15327_1_2014_12_12_USA_Swine_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
PEDV_GER_L00926_K20_4_01_2014_nsp9_VIPR_ALG4_SNQ27892_1_12593_15372_1_NA_NA_Unknown_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
PEDV_GER_L01015_K01_15_05_2015_nsp9_VIPR_ALG4_SNQ28056_1_12593_15372_1_NA_NA_Unknown_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
USA_Ohio123_2014_nsp9_VIPR_ALG4_658130687_12558_15337_1_2013_12_15_USA_Swine_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
GDS33_nsp9_VIPR_ALG4_QCQ19899_1_12593_15372_1_2014_07_28_China_Swine_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
USA_Illinois255_2014_nsp9_VIPR_ALG4_825144447_12548_15327_1_2014_03_11_USA_Swine_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
PC177_nsp9_VIPR_ALG4_893707341_12582_15361_1_2013_12_USA_Swine_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
USA_Iowa106_2013_nsp9_VIPR_ALG4_658130659_12558_15337_1_2013_12_29_USA_Swine_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
USA_IA_2013_49379_nsp9_VIPR_ALG4_874010821_12593_15372_1_2013_12_09_USA_Swine_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
KGS_1_JPN_2013_nsp9_VIPR_ALG4_948549151_12535_15314_1_2013_12_Japan_Pig_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
USA_Michigan189_2014_nsp9_VIPR_ALG4_825144706_12548_15327_1_2014_02_17_USA_Swine_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
PEDV_GER_L01060_K07_15_02_2015_nsp9_VIPR_ALG4_SNQ27906_1_12593_15372_1_NA_NA_Unknown_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
OH15962_nsp9_VIPR_ALG4_641452901_12593_15372_1_2013_06_14_USA_Swine_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
UNKNOWN_MT843278_nsp9_VIPR_ALG4_QMU85400_1_12594_15373_1_2019_12_China_Unknown_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
COL_Antioquia09796_2015_nsp9_VIPR_ALG4_QGQ60311_1_12581_15360_1_2015_07_30_Colombia_Swine_PEDV YKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
*****************************************
>MEX_Mexico329_2014_nsp9_VIPR_ALG4_825144419_12548_15327_1_2014_04_24_Mexico_Swine_PEDV AGCACTGATATGGCTTATTTAAACCGAGTACGGGGCTCTAGTGCAGCTCGA------------------------------------------CTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCCGAACACGATTTCTTCACTTGGAAGGATGGTCGTGCCATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGCGCTTGTGAGGAGTCCTACTTCAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTCTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCCAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGTTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACACTCTAGCAGGCTCTCTATTAACGAATTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCCCTTGTTGATCAGCGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTTAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTTTCTGAGGGCTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCTACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAGGTGGTTGTTACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGTGGCAAAGAACGTGCACGCACAGTGGGTGGTGTTTCGCTTTTGTCAACCATGACTACTCGGCAGTATCATCAGAAACACCTTAAGTCCATAGTTAATACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTTGAAAATCCGTGTCTTATGGGTTGGGACTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGTATGATTTCAGCCATGATTTTAGGCTCTAAGCACACCACATGCTGCAGTTCCACTGACCGCTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTTAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGCGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTATAACAATGACTATGCATCACTTGGTTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTCTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATGCAGATTGTCGATAAAGATGGTACTTATTACCTTCCTTACCCTGATCCTTCAAGAATTCTCTCTGCAGGTGTGTTTGTTGATGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCATCTGTACAAAACTCTTAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTACAA >IA1_nsp9_VIPR_ALG4_551485556_12593_15372_1_2013_USA_Swine_PEDV AGCACTGATTATGGCTTATTTAAACGA------------------------------------------GTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCCGAACACGATTTCTTCACTTGGAAGGATGGTCGTGCCATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGCGCTTGTGAGGAGTCCTACTTCAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTCTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCAATCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCCAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGTTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACACTCTAGCAGGCTCTCTATTAACGAATTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCCCTTGTTGATCAGCGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTTAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTTTCTGAGGGCTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCTACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAGGTGGTTGTTACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGTGGCAAAGAACGTGCACGCACAGTGGGTGGTGTTTCGCTTTTGTCAACCATGACTACTCGGCAGTATCATCAGAAACACCTTAAGTCCATAGTTAATACTAAGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTTGAAAATCCGTGTCTTATGGGTTGGGACTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGTATGATTTCAGCCATGATTTTAGGCTCTAAGCACACCACATGCTGCAGTTCCACTGACCGCTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTTAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGCGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTATAACAATGACTATGCATCACTTGGTTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTCTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATGCAGATTGTCGATAAAGATGGTACTTATTACCTTCCTTACCCTGATCCTTCAAGAATTCTCTCTGCAGGTGTGTTTGTTGATGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCATCTGTACAAAACTCTTAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTACAA >GDS10_nsp9_VIPR_ALG4_AWV57047_1_12593_15372_1_2013_01_16_China_Swine_PEDV AGCACTGATTATGGCTTATTTAAACGA------------------------------------------GTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCCGAACACGATTTCTTCACTTGGAAGGATGGTCGTGCAATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGCGCTTGTGAGGAGTCCTACTTCAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTCTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCCAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGTTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACACTCTAGCAGGCTCTCTATTAACGAATTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCCCTTGTTGATCAGCGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTTAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTTTCTGAGGGCTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCTACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAGGTGGTTGTTACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGTGGCAAAGAACGTGCACGCACAGTGGGTGGTGTTTCGCTTTTGTCAACCATGACTACTCGGCAGTATCATCAGAAACACCTTAAGTCCATAGTTAATACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTTGAAAATCCGTGTCTTATGGGTTGGGACTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGTATGATTTCAGCCATGATTTTAGGCTCTAAGCACACCACATGCTGCAGTTCCACTGACCGCTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTTAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGCGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTATAACAATGACTATGCATCACTTGGTTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTCTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATGCAGATTGTCGATAAAGATGGTACTTATTACCTTCCTTACCCTGATCCTTCAAGAATTCTCTCTGCAGGTGTGTTTGTTGATGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCATCTGTACAAAACTCTTAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTACAA >CH_SCZJ_2018_nsp9_VIPR_ALG4_AZL47227_1_12593_15372_1_2018_02_06_China_Swine_PEDV AGCACTGATATGGCTTATTTAAACCGA------------------------------------------GTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCCGAACACGATTTCTTCACTTGGAAGGATGGTCGTGCTATCTATGGTAACGTTTGTAGAAAGGATCTTACTGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGCGCTTGTGAGGAGTCCTACTTTAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTCTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCCAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGTTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACACTCTAGCAGGCTCTCTATTAACGAATTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCCCTTGTTGATCAGCGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTTAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTTTCTGAGGGCTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCTACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAGGTGGTTGTTACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGCGGCAAAGAACGTGCACGCACAGTGGGTGGTGTTTCGCTTTTGTCAACCATGACTACTCGGCAGTATCATCAGAAACACCTTAAGTCCATAGTTAATACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTTGAAAATCCGTGTCTTATGGGTTGGGACTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGCATGATTTCAGCCATGATTTTAGGCTCTAAGCACACCACATGCTGCAGTTCCACTGACCGCTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTCAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAGGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGCGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTATAACAATGACTATGCATCACTTGGTTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTCTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATGCAGATTGTCGATAAGGATGGTACTTATTACCTTCCTTACCCTGATCCTTCAAGAATCCTCTCTGCAGGTGTGTTTGTTGATGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAAGTGTTTTATGTGCTTTTGGATTGGGTTAAGCATCTGTACAAAACTCTGAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTACAA >PC22A_P95_13_nsp9_VIPR_ALG4_1134617050_12568_15347_1_2015_06_01_USA_Swine_PEDV AGCACTGATATGGCTTATTTAAACCGA------------------------------------------GTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCTGAACACGATTTCTTCACTTGGAAGGATGGTCGTGCAATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGCGCTTGTGAGGAGTCCTACTTCAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTTTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCCAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGTTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACACTCTAGCAGGCTCTCTATTAACGAACTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCCCTTGTTGATCAGCGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTTAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTTTCTGAGGGCTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCTACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAAGTGGTTGTTACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAATTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGTGGCAAAGAACGTGCACGCACAGTGGGTGGTGTTTCGCTTTTGTCAACCATGACTACTCGGCAGTATCACCAGAAACACCTTAAGTCCATAGTTAATACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTCGAAAATCCGTGTCTTATGGGTTGGGATTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGCATGATTTCAGCCATGATTTTAGGCTCTAAGCACACCACATGCTGCAGTTCCACTGACCGCTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTCAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGCGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTACAACAATGACTATGCATCACTTGGTTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTCTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATGCAGATTGTCGATAAAGATGGTACTTACTACCTACCTTACCCTGATCCTTCAAGAATCCTCTCTGCAGGTGTGTTTGTTGATGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCCAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCATCTGTACAAAACTCTTAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTACAA >CH_SCLS_2018_nsp9_VIPR_ALG4_AZL47221_1_12593_15372_1_2018_01_12_China_Swine_PEDV AGCACTGATATGGCTTATTTAAACCGA------------------------------------------GTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGCAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCCGAACACGATTTCTTCACTTGGAAGGATGGTCGTGCTATCTATGGTAATGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGCGCTTGTGAGGAGTCCTACTTCAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTCTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCCAACTTCAATACGCTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGTTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACACTCTAGCAGGCTCTCTATTAACGAACTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCTCTTGTTGATCAGCGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTTAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTTTCTGAGGGCTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCTACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAAGTGGTTGTTACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGTGGCAAAGAACGTGCACGCACAGTGGGTGGTGTTTCACTTTTGTCAACCATGACTACTCGGCAGTATCACCAGAAACACCTTAAGTCCATAGTTAATACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTCGAAAATCCGTGTCTTATGGGTTGGGACTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGCATGATTTCAGCCATGATTTTAGGCTCTAAGCACACCACATGCTGCAGTTCCACTGACCGCTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACCGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTCAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACCACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGCGTAAACATTTCTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTATAACAATGACTATGCATCACTTGGTTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTTTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCACACTATGCAGATTGTTGATAAGGATGGTACTTATTACCTTCCTTACCCTGATCCTTCAAGAATCCTCTCTGCAGGTGTGTTTGTTGACGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCATCTGTACAAAACTTTGAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTCTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTACAA >GDS05_nsp9_VIPR_ALG4_QCQ19797_1_12593_15372_1_2012_02_08_China_Swine_PEDV AGTACTGATTATGGCTTATTTAAACGA------------------------------------------GTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCCGAACACGATTTCTTCACTTGGAAGGATGGTCGTGCAATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGTGCTTGTGAGGAGTCCTACTTCAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTCTATGCAGTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCCAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGCTGGATCGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAATAATGACCTTAACTTACACTCTAGCAGGCTCTCTATTAACGAACTACTCCAGTTTTGTAGTGATCCTGCACTGCTTATAGCATCATCACCAGCCCTTGTTGATCAGCGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTGAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTCTCTGAGGGTTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAAGATTTTGACTACTATAGGTATAATAGACCCACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAAGTGGTTGTCACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGTGGCAAAGAACGTGCACGCACAGTGGGTGGTGTTTCGCTCTTGTCAACCATGACTACTCGGCAGTATCATCAGAAACACCTTAAGTCCATAGTTAATACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTTGAAAATCCGTGTCTTATGGGTTGGGATTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGCATGATTTCAGCCATGATTTTAGGCTCTAAGCACACCACATGCTGCAGTTCCACTGACCGCTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTCAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGCGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTATAACAATGACTATGCATCACTTGGTTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTCTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATACAGATTGTCGATAAAGATGGTACTTATTACCTTCCTTACCCTGATCCTTCAAGAATCCTCTCTGCAGGTGTGTTTGTTGATGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCATCTGTACAAAACTTTGAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTCTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTACAA >PEDV_GER_L00927_K20_14_02_2014_nsp9_VIPR_ALG4_SNQ27984_1_12593_15372_1_NA_NA_Unknown_PEDV AGCACTGATTATGGCTTATTTAAA------------------------------------------CGAGTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCCGAACACGATTTCTTCACTTGGAAGGATGGTCGTGCAATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGATAGGCGCTTGTGAGGAGTCCTACTTCAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTCTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCCAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGTTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACACTCTAGCAGGCTCTCTATTAACGAACTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCCCTTGTTGATCAGCGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTTAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTTTCTGAGGGCTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCTACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAAGTGGTTGTTACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGTGGCAAAGAACGTGCACGCACAGTGGGTGGTGTTTCGCTTTTGTCAACCATGACTACTCGGCAGTATCACCAGAAACACCTTAAGTCCATAGTTAATACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTTGAAAATCCGTGTCTTATGGGTTGGGATTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGCATGATTTCAGCCATGATTTTAGGCTCTAAGCACACCACATGCTGCAGTTCCACTGACCGGTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTCAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGTGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTACAACAATGACTATGCATCACTTGGTTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTCTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATGCAGATTGTCGATAAAGATGGTACTTACTACCTACCTTACCCTGATCCTTCAAGAATCCTCTCTGCAGGTGTGTTTGTTGACGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCACCTGTATAAAACTTTGAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTGCAA >ZJ15XS0101_P1_nsp9_VIPR_ALG4_AQT33893_1_12593_15372_1_2015_01_16_China_Swine_PEDV AGTACTGATATGGCTTATTTAAACGAGTACGGGGCTCTAGTGCAGCTCGACTATGGCTTATTTAAACGAGTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCCGAACACGATTTCTTCACTTGGAAGGATGGTCGTGCTATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGCGCTTGTGAGGAGTCCTACTTCAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTCTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCCGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCCAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGTTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACACTCTAGCAGGCTCTCTATTAACGAACTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCCCTTGTTGATCAGCGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTTAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGCTTCTTTTCTGAGGGCTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCTACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAAGTGGTTGTTACAAACCTTAACAAGAGCACAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGTGGCAAAGAACGTGCACGCACAGTTGGTGGTGTTTCGCTTTTGTCAACCATGACTACTCGGCAGTATCATCAGAAACACCTTAAGTCCATAGTTAATACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTTGAAAATCCGTGTCTTATGGGTTGGGATTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGCATGATTTCAGCCATGATTTTAGGCTCTAAGCATACCACATGCTGCAGTTCCACTGACCGCTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTCAATATCTTCCAAGCAGTAAGTGCCAATGTTAATAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACCTGCGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTATAACAATGACTATGCATCACTTGGTTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTCTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATGCAGATTGTCGATAAAGATGGTACTTATTACCTTCCTTACCCTGATCCTTCAAGAATCCTCTCTGCAGGTGTGTTTGTTGATGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCATCTGTACAAAACTTTGAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTACAA >GDS42_nsp9_VIPR_ALG4_QCQ20019_1_12593_15372_1_2011_09_25_China_Swine_PEDV AGCACTGATTATGGCTTATTTAAACGA------------------------------------------GTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCCGAACACGATTTCTTCATTTGGAAGGATGGTCGTGCAATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGTGCTTGTGAGGAGTCCTACTTCAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTCTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACATCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCTAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGCTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACATTCTAGCAGGCTCTCTATTAACGAACTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCTCTTGTTGATCAGCGTACTGTTTGCTTCTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTGAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTCTCTGAGGGCTCTGAGCTTACTTTAAAGCATTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCCACTGTTCTGGACATTTGCCAAGCACGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAAGTGGTTGTTACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTCTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATTAGTGGCAAAGAACGTGCTCGCACAGTGGGTGGTGTCTCGCTCTTGTCAACCATGACAACTCGGCAGTATCATCAGAAACACCTTAAGTCCATAGTTAACACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTTGAAAATCCGTGTCTTATGGGTTGGGACTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGCATGATTTCAGCCATGATCTTAGGCTCTAAGCACACCACATGCTGCAGTTCTACTGACCGCTTTTTCAGGTTGTGCAATGAATTAGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTCAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGCGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTATAACAATGACTATGCATCACTTGGCTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTTTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATGCAGATTGTTGATAAGGATGGTACTTATTACCTTCCTTACCCTGATCCTTCAAGAATCCTCTCTGCAGGTGTGTTTGTTGATGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTTTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCATCTGTATAAAACTTTGAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGACTCTACTGCTAAATTTTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTACAA >PEDV_GER_L00933_K22_14_05_2014_nsp9_VIPR_ALG4_SNQ28063_1_12593_15372_1_NA_NA_Unknown_PEDV AGCACTGATTATGGCTTATTTAAA------------------------------------------CGAGTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCCGAACACGATTTCTTCACTTGGAAGGATGGTCGTGCAATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGCGCTTGTGAGGAGTCCTACTTCAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTCTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCCAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGTTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACACTCTAGCAGGCTCTCTATTAACGAACTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCCCTTGTTGATCAGCGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTTAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTTTCTGAGGGCTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCTACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAAGTGGTTGTTACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGTGGCAAAGAACGTGCACGCACAGTGGGTGGTGTTTCGCTTTTGTCAACCATGACTACTCGGCAGTATCACCAGAAACACCTTAAGTCCATAGTTAATACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTTGAAAATCCGTGTCTTATGGGTTGGGATTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGCATGATTTCAGCCATGATTTTAGGCTCTAAGCACACCACATGCTGCAGTTCCACTGACCGGTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTCAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGTGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTACAACAATGACTATGCATCACTTGGTTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTCTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATGCAGATTGTCGATAAAGATGGTACTTACTACCTACCTTACCCTGATCCTTCAAGAATCCTCTCTGCAGGTGTGTTTGTTGACGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCACCTGTATAAAACTTTGAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTGCAA >USA_OK10240_6_2017_nsp9_VIPR_ALG4_AVI57395_1_12593_15372_1_2017_02_07_USA_Swine_PEDV AGCACTGATATGGCTTATTTAAAC------------------------------------------CGAGTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCCGAACACGATTTCTTCATTTGGAAGGATGGTCGTGCCATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGCGCTTGTGAGGAGTCCTACTTTAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTCTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCCAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGTTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACACTCTAGCAGGCTCTCTATTAACGAATTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCCCTTGTTGATCAGCGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTTAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTTTCTGAGGGCTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCTACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAGGTGGTTGTTACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGTGGCAAAGAACGTGCACGCACAGTGGGTGGTGTTTCGCTTTTGTCAACCATGACTACTCGGCAGTATCATCAGAAACACCTTAAGTCCATAGTTAATACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTTGAAAATCCGTGTCTTATGGGTTGGGACTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGTACGATTTCAGCCATGATTTTAGGCTCTAAGCACACCACATGCTGCAGTTCCACTGACCGCTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTTAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGCGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTATAACAATGACTATGCATCACTTGGTTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTCTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATGCAGATTGTCGATAAAGATGGTACTTATTACCTTCCTTACCCTGATCCTTCAAGAATTCTCTCTGCAGGTGTGTTTGTTGATGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCATCTGTACAAAACTCTTAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTACAA >CH_SD01_nsp9_VIPR_ALG4_1009101428_12593_15372_1_2015_05_01_China_Swine_PEDV AGCACTGATTATGGCTTATTTAAACGA------------------------------------------GTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCCGAACACGATTTCTTCACTTGGAAGGATGGTCGTGCCATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGCGCTTGTGAGGAGTCCTACTTCAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTCTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCCAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGTTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACACTCTAGCAGGCTCTCTATTAACGAATTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCCCTTGTTGATCAGCGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTTAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTTTCTGAGGGCTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCTACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAGGTGGTTGTTACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGTGGCAAAGAACGTGCACGCACAGTGGGTGGTGTTTCGCTTTTGTCAACCATGACTACTCGGCAGTATCATCAGAAACACCTTAAGTCCATAGTTAATACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTTGAAAATCCGTGTCTTATGGGTTGGGACTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGTATGATTTCAGCCATGATTTTAGGCTCTAAGCACACCACATGCTGCAGTTCCACTGACCGCTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTTAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGCGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTATAACAATGACTATGCATCACTTGGTTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTCTTCATGAGCGCTTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATGCAGATTGTCGATAAAGATGGTACTTATTACCTTCCTTACCCTGATCCTTCAAGAATTCTCTCTGCAGGTGTGTTTGTTGATGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCATCTGTACAAAACTCTTAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTACAA >USA_Colorado47_2013_nsp9_VIPR_ALG4_658130351_12558_15337_1_2013_10_23_USA_Swine_PEDV AGCACTGATATGGCTTATTTAAACGAGTACGGGGCTCTAGTGCAGCTCGACTATGGCTTATTTAAACGAGTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCCGAACACGATTTCTTCACTTGGAAGGATGGTCGTGCCATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGCGCTTGTGAGGAGTCCTACTTCAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTCTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCCAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGTTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACACTCTAGCAGGCTCTCTATTAACGAATTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCCCTTGTTGATCAGCGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTTAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTTTCTGAGGGCTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCTACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAGGTGGTTGTTACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGTGGCAAAGAACGTGCACGCACAGTGGGTGGTGTTTCGCTTTTGTCAACCATGACTACTCGGCAGTATCATCAGAAACACCTTAAGTCCATAGTTAATACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTTGAAAATCCGTGTCTTATGGGTTGGGACTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGTACGATTTCAGCCATGATTTTAGGCTCTAAGCACACCACATGCTGCAGTTCCACTGACCGCTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTTAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGCGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTATAACAATGACTATGCATCACTTGGTTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTCTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATGCAGATTGTCGATAAAGATGGTACTTATTACCTTCCTTACCCTGATCCTTCAAGAATTCTCTCTGCAGGTGTGTTTGTTGATGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCATCTGTACAAAACTCTTAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTACAA >GDS35_nsp9_VIPR_ALG4_QCQ20001_1_12593_15372_1_2013_12_07_China_Swine_PEDV AGCACTGATTATGGCTTATTTAAACGA------------------------------------------GTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTATATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCCGAACACGATTTCTTCATTTGGAAGGATGGTCGTGCAATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGTGCTTGTGAGGAGTCCTACTTCAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTCTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACATCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCTAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGCTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACATTCTAGCAGGCTCTCTATTAACGAACTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCTCTTGTTGATCAGCGTACTGTTTGCTTCTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTGAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTCTCTGAGGGCTCTGAGCTTACTTTAAAGCATTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCCACTGTTCTGGACATTTGCCAAGCACGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAAGTGGTTGTTACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTCTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATTAGTGGCAAAGAACGTGCTCGCACAGTGGGTGGTGTCTCGCTCTTGTCAACCATGACAACTCGGCAGTATCATCAGAAACACCTTAAGTCCATAGTTAACACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTTGAAAATCCGTGTCTTATGGGTTGGGACTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGCATGATTTCAGCCATGATCTTAGGCTCTAAGCACACCACATGCTGCAGTTCTACTGACCGCTTTTTCAGGTTGTGCAATGAATTAGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTCAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGCGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTATAACAATGACTATGCATCACTTGGCTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTTTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATGCAGATTGTTGATAAGGATGGTACTTATTACCTTCCTTACCCTGATCCTTCAAGAATCCTCTCTGCAGGTGTGTTTGTTGATGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTTTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCATCTGTATAAAACTTTGAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGACTCTACTGCTAAATTTTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTACAA >USA_Oklahoma1_2015_nsp9_VIPR_ALG4_825144391_12548_15327_1_2014_12_12_USA_Swine_PEDV AGCACTGATATGGCTTATTTAAAC------------------------------------------CGAGTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCCGAACACGATTTCTTCACTTGGAAGGATGGTCGTGCCATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGCGCTTGTGAGGAGTCCTACTTTAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTCTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACGCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCCAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGTTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACACTCTAGCAGGCTCTCTATTAACGAATTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCCCTTGTTGATCAGCGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTTAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTTTCTGAGGGCTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCTACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAGGTGGTTGTTACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGTGGCAAAGAACGTGCACGCACAGTGGGTGGTGTTTCGCTTTTGTCAACCATGACTACTCGGCAGTATCATCAGAAACACCTTAAGTCCATAGTTAATACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTTGAAAATCCGTGTCTTATGGGTTGGGACTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGTACGATTTCAGCCATGATTTTAGGCTCTAAGCACACCACATGCTGCAGTTCCACTGACCGCTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGGGATGCAACCACCGCATATGCAAACTCAGTTTTTAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGCGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTATAACAATGACTATGCATCACTTGGTTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTCTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATGCAGATTGTCGATAAAGATGGTACTTATTACCTTCCTTACCCTGATCCTTCAAGAATTCTCTCTGCAGGTGTGTTTGTTGATGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCATCTGTACAAAACTCTTAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTACAA >PEDV_GER_L00926_K20_4_01_2014_nsp9_VIPR_ALG4_SNQ27892_1_12593_15372_1_NA_NA_Unknown_PEDV AGCACTGATTATGGCTTATTTAAA------------------------------------------CGAGTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCCGAACACGATTTCTTCACTTGGAAGGATGGTCGTGCAATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGCGCTTGTGAGGAGTCCTACTTCAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTCTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCCAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGTTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACACTCTAGCAGGCTCTCTATTAACGAACTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCCCTTGTTGATCAGCGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTTAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTTTCTGAGGGCTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCTACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAAGTGGTTGTTACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGTGGCAAAGAACGTGCACGCACAGTGGGTGGTGTTTCGCTTTTGTCAACCATGACTACTCGGCAGTATCACCAGAAACACCTTAAGTCCATAGTTAATACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTTGAAAATCCGTGTCTTATGGGTTGGGATTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGCATGATTTCAGCCATGATTTTAGGCTCTAAGCACACCACATGCTGCAGTTCCACTGACCGGTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTCAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGTGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTACAACAATGACTATGCATCACTTGGTTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTCTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATGCAGATTGTCGATAAAGATGGTACTTACTACCTACCTTACCCTGATCCTTCAAGAATCCTCTCTGCAGGTGTGTTTGTTGACGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCACCTGTATAAAACTTTGAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTGCAA >PEDV_GER_L01015_K01_15_05_2015_nsp9_VIPR_ALG4_SNQ28056_1_12593_15372_1_NA_NA_Unknown_PEDV AGCACTGATTATGGCTTATTTAAA------------------------------------------CGAGTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCCGAACACGATTTCTTCACTTGGAAGGATGGTCGTGCAATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGCGCTTGTGAGGAGTCCTACTTCAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTCTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCCAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGTTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACACTCTAGCAGGCTCTCTATTAACGAACTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCCCTTGTTGATCAGCGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTTAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTTTCTGAGGGCTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCTACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAAGTGGTTGTTACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGTGGCAAAGAACGTGCACGCACAGTGGGTGGTGTTTCGCTTTTGTCAACCATGACTACTCGGCAGTATCACCAGAAACACCTTAAGTCCATAGTTAATACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTTGAAAATCCGTGTCTTATGGGTTGGGATTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGCATGATTTCAGCCATGATTTTAGGCTCTAAGCACACCACATGCTGCAGTTCCACTGACCGGTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTCAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGTGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTACAACAATGACTATGCATCACTTGGTTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTCTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATGCAGATTGTCGATAAAGATGGTACTTACTACCTACCTTACCCTGATCCTTCAAGAATCCTCTCTGCAGGTGTGTTTGTTGACGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCACCTGTATAAAACTTTGAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTGCAA >USA_Ohio123_2014_nsp9_VIPR_ALG4_658130687_12558_15337_1_2013_12_15_USA_Swine_PEDV AGCACTGATATGGCTTATTTAAACGAGTACGGGGCTCTAGTGCAGCTCGACTATGGCTTATTTAAACGAGTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCCGAACACGATTTCTTCACTTGGAAGGATGGTCGTGCCATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGCGCTTGTGAGGAGTCCTACTTCAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTCTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCCAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGTTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACACTCTAGCAGGCTCTCTATTAACGAATTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCCCTTGTTGATCAGCGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTTAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTTTCTGAGGGCTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCTACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAGGTGGTTGTTACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGTGGCAAAGAACGTGCACGCACAGTGGGTGGTGTTTCGCTTTTGTCAACCATGACTACTCGGCAGTATCATCAGAAACACCTTAAGTCCATAGTTAATACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTTGAAAATCCGTGTCTTATGGGTTGGGACTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGTATGATTTCAGCCATGATTTTAGGCTCTAAGCACACCACATGCTGCAGTTCCACTGACCGCTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTTAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGCGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTATAACAATGACTATGCATCACTTGGTTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTCTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATGCAGATTGTCGATAAAGATGGTACTTATTACCTTCCTTACCCTGATCCTTCAAGAATTCTCTCTGCAGGTGTGTTTGTTGATGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCATCTGTACAAAACTCTTAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTACAA >GDS33_nsp9_VIPR_ALG4_QCQ19899_1_12593_15372_1_2014_07_28_China_Swine_PEDV AGTACTGATTATGGCTTATTTAAACGA------------------------------------------GTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCCGAACACGATTTCTTCACTTGGAAGGATGGTCGTGCTATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGCGCTTGTGAGGAGTCCTACTTCAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTCTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCCGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCCAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGCTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACACTCTAGCAGGCTCTCTATTAACGAACTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCCCTTGTTGATCAGCGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTTAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTTTCTGAGGGCTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCTACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAAGTGGTTGTTACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGTGGCAAAGAACGTGCACGCACAGTTGGTGGTGTTTCGCTTTTGTCAACCATGACTACTCGGCAGTATCATCAGAAACACCTTAAGTCCATAGTTAATACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTTGAAAATCCGTGTCTTATGGGTTGGGACTACCCAAAGTGTGACAGAGCACTGCCCAATATGATACGCATGATTTCAGCCATGATTTTAGGCTCTAAGCACACCACATGCTGCAGTTCCACTGACCGCTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTCAATATCTTCCAAGCAGTAAGTGCCAATGTTAATAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTACGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTATAACAATGACTATGCATCACTTGGTTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTCTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATGCAGATTGTCGATAAAGATGGTACTTATTACCTTCCTTACCCTGATCCTTCAAGAATCCTCTCTGCAGGTGTGTTTGTTGATGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCATCTGTACAAAACTTTGAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTACAA >USA_Illinois255_2014_nsp9_VIPR_ALG4_825144447_12548_15327_1_2014_03_11_USA_Swine_PEDV AGCACTGATATGGCTTATTTAAACCGA------------------------------------------GTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCCGAACACGATTTCTTCACTTGGAAGGATGGTCGTGCCATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGCGCTTGTGAGGAGTCCTACTTCAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTCTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCCAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGTTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACACTCTAGCAGGCTCTCTATTAACGAATTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCCCTTGTTGATCAGCGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTTAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTTTCTGAGGGCTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCTACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAGGTGGTTGTTACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGTGGCAAAGAACGTGCACGCACAGTGGGTGGTGTTTCGCTTTTGTCAACCATGACTACTCGGCAGTATCATCAGAAACACCTTAAGTCCATAGTTAATACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTTGAAAATCCGTGTCTTATGGGTTGGGACTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGTATGATTTCAGCCATGATTTTAGGCTCTAAGCACACCACATGCTGCAGTTCCACTGACCGCTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTTAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGCGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTATAACAATGACTATGCATCACTTGGTTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTCTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATGCAGATTGTCGATAAAGATGGTACTTATTACCTTCCTTACCCTGATCCTTCAAGAATTCTCTCTGCAGGTGTGTTTGTTGATGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCATCTGTACAAAACTCTTAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTACAA >PC177_nsp9_VIPR_ALG4_893707341_12582_15361_1_2013_12_USA_Swine_PEDV AGCACTGATATGGCTTATTTAAAACGA------------------------------------------GTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCCGAACACGATTTCTTCACTTGGAAGGATGGTCGTGCCATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGCGCTTGTGAGGAGTCCTACTTCAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTCTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCCAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGTTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACACTCTAGCAGGCTCTCTATTAACGAATTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCCCTTGTTGATCAGCGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTTAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTTTCTGAGGGCTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCTACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAGGTGGTTGTTACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGTGGCAAAGAACGTGCACGCACAGTGGGTGGTGTTTCGCTTTTGTCAACCATGACTACTCGGCAGTATCATCAGAAACACCTTAAGTCCATAGTTAATACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTTGAAAATCCGTGTCTTATGGGTTGGGACTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGTATGATTTCAGCCATGATTTTAGGCTCTAAGCACACCACATGCTGCAGTTCCACTGACCGCTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTTAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGCGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTATAACAATGACTATGCATCACTTGGTTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTCTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATGCAGATTGTCGATAAAGATGGTACTTATTACCTTCCTTACCCTGATCCTTCAAGAATTCTCTCTGCAGGTGTGTTTGTTGATGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCATCTGTACAAAACTCTTAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTACAA >USA_Iowa106_2013_nsp9_VIPR_ALG4_658130659_12558_15337_1_2013_12_29_USA_Swine_PEDV AGCACTGATATGGCTTATTTAAACGAGTACGGGGCTCTAGTGCAGCTCGACTATGGCTTATTTAAACGAGTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCTGAACACGATTTCTTCACTTGGAAGGATGGTCGTGCAATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGCGCTTGTGAGGAGTCCTACTTCAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTTTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCCAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGTTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACACTCTAGCAGGCTCTCTATTAACGAACTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCCCTTGTTGATCAGCGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTTAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTTTCTGAGGGCTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCTACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAGGTGGTTGTTACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGTGGCAAAGAACGTGCACGCACAGTGGGTGGTGTTTCGCTTTTGTCAACCATGACTACTCGGCAGTATCATCAGAAACACCTTAAGTCCATAGTTAATACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTTGAAAATCCGTGTCTTATGGGTTGGGACTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGTATGATTTCAGCCATGATTTTAGGCTCTAAGCACACCACATGCTGCAGTTCCACTGACCGCTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTCAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGCGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTACAACAATGACTATGCATCACTTGGTTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTCTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATGCAGATTGTCGATAAAGATGGTACTTACTACCTACCTTACCCTGATCCTTCAAGAATCCTCTCTGCAGGTGTGTTTGTTGACGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCACCTGTATAAAACTTTGAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTGCAA >USA_IA_2013_49379_nsp9_VIPR_ALG4_874010821_12593_15372_1_2013_12_09_USA_Swine_PEDV AGCACTGATATGGCTTATTTAAACCGA------------------------------------------GTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCCGAACACGATTTCTTCACTTGGAAGGATGGTCGTGCCATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGCGCTTGTGAGGAGTCCTACTTCAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTCTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCCAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGTTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACACTCTAGCAGGCTCTCTATTAACGAATTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCCCTTGTTGATCAGCGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTTAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTTTCTGAGGGCTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCTACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAGGTGGTTGTTACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGTGGCAAAGAACGTGCACGCACAGTGGGTGGTGTTTCGCTTTTGTCAACCATGACTACTCGGCAGTATCATCAGAAACACCTTAAGTCCATAGTTAATACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTTGAAAATCCGTGTCTTATGGGTTGGGACTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGTATGATTTCAGCCATGATTTTAGGCTCTAAGCACACCACATGCTGCAGTTCCACTGACCGCTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTTAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGCGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTATAACAATGACTATGCATCACTTGGTTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTCTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATGCAGATTGTCGATAAAGATGGTACTTATTACCTTCCTTACCCTGATCCTTCAAGAATTCTCTCTGCAGGTGTGTTTGTTGATGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCATCTGTACAAAACTCTTAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTACAA >KGS_1_JPN_2013_nsp9_VIPR_ALG4_948549151_12535_15314_1_2013_12_Japan_Pig_PEDV AGCACTGATTATGGCTTATTTAAACGA------------------------------------------GTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCCGAACACGATTTCTTCACTTGGAAGGATGGTCGTGCCATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGCGCTTGTGAGGAGTCCTACTTCAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTCTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCCAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGTTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACACTCTAGCAGGCTCTCTATTAACGAATTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCCCTTGTTGATCAGCGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTTAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTTTCTGAGGGCTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCTACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAGGTGGTTGTTACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGTGGCAAAGAACGTGCACGCACAGTGGGTGGTGTTTCGCTTTTGTCAACCATGACTACTCGGCAGTATCATCAGAAACACCTTAAGTCCATAGTTAATACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTTGAAAATCCGTGTCTTATGGGTTGGGACTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGTATGATTTCAGCCATGATTTTAGGCTCTAAGCACACCACATGCTGCAGTTCCACTGACCGCTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTTAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGCGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTATAACAATGACTATGCATCACTTGGTTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTCTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATGCAGATTGTCGATAAAGATGGTACTTATTACCTTCCTTACCCTGATCCTTCAAGAATTCTCTCTGCAGGTGTGTTTGTTGATGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCATCTGTACAAAACTCTTAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTACAA >USA_Michigan189_2014_nsp9_VIPR_ALG4_825144706_12548_15327_1_2014_02_17_USA_Swine_PEDV AGCACTGATATGGCTTATTTAAAC------------------------------------------CGAGTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCCGAACACGATTTCTTCACTTGGAAGGATGGTCGTGCCATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGCGCTTGTGAGGAGTCCTACTTCAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTCTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCCAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGTTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACACTCTAGCAGGCTCTCTATTAACGAATTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCCCTTGTTGATCAGCGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTTAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTTTCTGAGGGCTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCTACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAGGTGGTTGTTACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGTGGCAAAGAACGTGCACGCACAGTGGGTGGTGTTTCGCTTTTGTCAACCATGACTACTCGGCAGTATCATCAGAAACACCTTAAGTCCATAGTTAATACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTTGAAAATCCGTGTCTTATGGGTTGGGACTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGTATGATTTCAGCCATGATTTTAGGCTCTAAGCACACCACATGCTGCAGTTCCACTGACCGCTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTTAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGCGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTATAACAATGACTATGCATCACTTGGTTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTCTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATGCAGATTGTCGATAAAGATGGTACTTATTACCTTCCTTACCCTGATCCTTCAAGAATTCTCTCTGCAGGTGTGTTTGTTGATGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCATCTGTACAAAACTCTTAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTACAA >PEDV_GER_L01060_K07_15_02_2015_nsp9_VIPR_ALG4_SNQ27906_1_12593_15372_1_NA_NA_Unknown_PEDV AGCACTGATTATGGCTTATTTAAA------------------------------------------CGAGTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCCGAACACGATTTCTTCACTTGGAAGGATGGTCGTGCAATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGCGCTTGTGAGGAGTCCTACTTCAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTCTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCCAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGTTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACACTCTAGCAGGCTCTCTATTAACGAACTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCCCTTGTTGATCAGCGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTTAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTTTCTGAGGGCTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCTACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAAGTGGTTGTTACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGTGGCAAAGAACGTGCACGCACAGTGGGTGGTGTTTCGCTTTTGTCAACCATGACTACTCGGCAGTATCACCAGAAACACCTTAAGTCCATAGTTAATACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTTGAAAATCCGTGTCTTATGGGTTGGGATTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGCATGATTTCAGCCATGATTTTAGGCTCTAAGCACACCACATGCTGCAGTTCCACTGACCGGTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTCAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGTGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTACAACAATGACTATGCATCACTTGGTTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTCTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATGCAGATTGTCGATAAAGATGGTACTTACTACCTACCTTACCCTGATCCTTCAAGAATCCTCTCTGCAGGTGTGTTTGTTGACGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCACCTGTATAAAACTTTGAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTGCAA >OH15962_nsp9_VIPR_ALG4_641452901_12593_15372_1_2013_06_14_USA_Swine_PEDV AGCACTGATTATGGCTTATTTAAACGA------------------------------------------GTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCTGAACACGATTTCTTCACTTGGAAGGATGGTCGTGCAATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGCGCTTGTGAGGAGTCCTACTTCAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTTTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCCAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGTTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACACTCTAGCAGGCTCTCTATTAACGAACTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCCCTTGTTGATCAGCGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTTAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTTTCTGAGGGCTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCTACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAAGTGGTTGTTACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGTGGCAAAGAACGTGCACGCACAGTGGGTGGTGTTTCGCTTTTGTCAACCATGACTACTCGGCAGTATCACCAGAAACACCTTAAGTCCATAGTTAATACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTCGAAAATCCGTGTCTTATGGGTTGGGATTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGCATGATTTCAGCCATGATTTTAGGCTCTAAGCACACCACATGCTGCAGTTCCACTGACCGCTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTCAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGCGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTACAACAATGACTATGCATCACTTGGTTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTCTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATGCAGATTGTCGATAAAGATGGTACTTACTACCTACCTTACCCTGATCCTTCAAGAATCCTCTCTGCAGGTGTGTTTGTTGATGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCCAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCATCTGTACAAAACTCTTAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTACAA >UNKNOWN_MT843278_nsp9_VIPR_ALG4_QMU85400_1_12594_15373_1_2019_12_China_Unknown_PEDV AGTACTGAATATGGCTTATTTAAA------------------------------------------CGAGTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCCGAACACGATTTCTTCACTTGGAAGGATGGTCGTGCTATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGTGATGTTCTTAAGAGCATTTTAATTAAGGTAGGCGCTTGTGAGGAGTCCTACTTTAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTCTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGGTTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTTCACTGTGCCAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGTTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACACTCTAGCAGGCTCTCTATTAACGAACTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCCCTTGTTGATCAACGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTTAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTCTCTGAGGGCTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCTACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCCAAAGAAGTGGTTGTTACAAACCTTAACAAGAGCGCAGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGTGGCAAAGAACGTGCACGCACAGTGGGTGGTGTTTCGCTTTTGTCAACCATGACTACTCGGCAGTATCATCAAAAACACCTTAAGTCCATAGTTAATACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTTGAAAATCCGTGTCTTATGGGTTGGGACTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGCATGATTTCAGCCATGATTTTAGGCTCTAAGCACACCACATGCTGCAGTTCCACTGACCGCTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTCAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGCGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTATAACAATGACTATGCATCACTTGGTTATGTTGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTCTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGTTCGCAGCATACTATGCAGATTGTCGATAAGGATGGTACTTATTACCTTCCTTACCCTGATCCTTCAAGAATCCTCTCTGCAGGTGTGTTTGTTGATGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCATCTGTACAAAACTTTGAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTACAA >COL_Antioquia09796_2015_nsp9_VIPR_ALG4_QGQ60311_1_12581_15360_1_2015_07_30_Colombia_Swine_PEDV AGCACTGATAATGGCTTATTTAAACGA------------------------------------------GTACGGGGCTCTAGTGCAGCTCGACTAGAGCCCTGTAACGGTACTGATACACAACATGTGTATCGTGCTTTTGACATCTACAACAAGGATGTTGCTTGTCTAGGTAAATTCCTCAAGGTGAACTGTGTTCGCCTGAAGAATTTGGATAAGCATGATGCATTCTATGTTGTCAAAAGATGTACCAAGTCTGCGATGGAACACGAGCAATCCATCTATAGCAGACTTGAAAAGTGTGGAGCCGTAGCTGAACATGATTTCTTCACTTGGAAGGATGGTCGTGCAATCTATGGTAACGTTTGTAGAAAGGATCTTACCGAGTATACTATGATGGATTTGTGTTACGCTTTACGTAACTTTGATGAAAACAATTGCGATGTTCTTAAGAGCATTTTAATTAAGGTAGGCGCTTGTGAGGAGTCCTACTTCAATAATAAAGTCTGGTTTGACCCTGTTGAAAATGAAGACATTCATCGTGTTTATGCATTGTTAGGTACCATTGTTTCACGTGCTATGCTTAAATGCGTTAAGTTCTGTGATGCAATGGTTGAACAAGGTATAGTTGGTGTTGTCACATTAGATAATCAGGATCTTAATGGTGATTTTTATGATTTTGGTGATTTTACTTGTAGCATCAAGGGAATGGGTATACCCATTTGCACATCATATTACTCTTATATGATGCCTGTTATGGGTATGACTAATTGCCTTGCTAGTGAGTGTTTTGTTAAGAGTGATATATTTGGTGAGGATTTCAAGTCATATGACCTGCTGGAATATGATTTCACGGAGCATAAGACAGCACTCTTCAACAAGTATTTCAAGTATTGGGGACTGCAATACCACCCTAACTGTGTGGACTGCAGTGATGAGCAGTGCATAGTCCACTGTGCCAACTTCAATACGTTGTTTTCCACTACTATACCTATTACGGCATTTGGACCTTTGTGTCGCAAGTGTTGGATTGATGGTGTTCCACTGGTAACTACAGCTGGTTATCATTTTAAACAGTTAGGTATAGTTTGGAACAATGACCTCAACTTACACTCTAGCAGGCTCTCTATTAACGAACTACTCCAGTTTTGTAGTGATCCTGCATTGCTTATAGCATCATCACCAGCCCTTGTTGATCAGCGTACTGTTTGCTTTTCAGTTGCAGCGCTAGGTACAGGTATGACTAACCAGACTGTTAAACCTGGCCATTTCAATAAGGAGTTTTATGACTTCTTACTTGAGCAAGGTTTCTTTTCTGAGGGCTCTGAGCTTACTTTAAAGCACTTCTTCTTTGCACAGAAGGGTGATGCAGCTGTTAAGGATTTTGACTACTATAGGTATAATAGACCTACTGTTCTGGACATTTGCCAAGCTCGCGTCGTGTATCAAATAGTGCAACGCTATTTTGATATTTACGAAGGTGGTTGTATCACTGCTAAAGAGGTGGTTGTTACAAACCTTAACAAGAGCGCTGGTTATCCTTTGAACAAGTTTGGTAAAGCTGGTCTTTACTATGAGTCTTTATCCTATGAGGAACAGGATGAACTTTATGCTTATACTAAGCGTAACATCCTGCCCACTATGACACAGCTCAACCTTAAATATGCTATAAGTGGCAAAGAACGTGCACGCACAGTGGGTGGTGTTTCGCTTTTGTCAACCATGACTACTCGGCAGTATCATCAGAAACACCTTAAGTCCATAGTTAATACTAGGGGCGCTTCGGTTGTTATTGGTACTACTAAGTTTTATGGTGGTTGGGACAATATGCTTAAGAACCTTATTGATGGTGTTGAAAATCCGTGTCTTATGGGTTGGGACTACCCAAAGTGCGACAGAGCACTGCCCAATATGATACGTATGATTTCAGCCATGATTTTAGGCTCTAAGCACACCACATGCTGCAGTTCCACTGACCGCTTTTTCAGGTTGTGCAATGAATTGGCTCAAGTCCTTACTGAGGTTGTTTATTCTAATGGAGGTTTTTATTTGAAGCCAGGTGGTACTACCTCTGGTGATGCAACCACCGCATATGCAAACTCAGTTTTCAATATCTTCCAAGCAGTAAGTGCCAATGTTAACAAACTTCTTAGTGTTGACAGCAATGTCTGTCATAATTTAGAAGTTAAGCAATTGCAGCGTAAGCTTTATGAGTGCTGTTATAGATCAACTACCGTCGATGACCAGTTCGTCGTTGAGTATTATGGTTACTTGCGTAAACATTTTTCAATGATGATTCTTTCTGATGATGGCGTTGTTTGTTACAACAATGACTATGCATCACTTGGTTATGTCGCTGATCTTAACGCATTCAAGGCTGTTTTGTATTACCAGAACAATGTCTTCATGAGCGCCTCTAAATGTTGGATCGAGCCTGACATTAATAAAGGTCCTCATGAATTTTGCTCGCAGCATACTATGCAGATTGTCGATAAAGATGGTACTTACTACCTACCTTACCCTGATCCTTCAAGAATCCTCTCTGCAGGTGTGTTTGTTGACGACGTTGTTAAAACTGATGCAGTTGTATTGCTTGAACGTTATGTGTCATTGGCTATAGATGCCTACCCGTTATCTAAGCATGAAAACCCTGAATATAAGAAGGTGTTTTATGTGCTTTTGGATTGGGTTAAGCACCTGTATAAAACTTTGAATGCTGGTGTGTTAGAGTCTTTTTCTGTCACACTTTTGGAAGATTCTACTGCTAAATTCTGGGATGAGAGCTTTTATGCCAACATGTATGAGAAATCTGCAGTTTTGCAA
>MEX_Mexico329_2014_nsp9_VIPR_ALG4_825144419_12548_15327_1_2014_04_24_Mexico_Swine_PEDV STDMAYLNRVRGSSAAR--------------LEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >IA1_nsp9_VIPR_ALG4_551485556_12593_15372_1_2013_USA_Swine_PEDV STDYGLFKR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTAIFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTKGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >GDS10_nsp9_VIPR_ALG4_AWV57047_1_12593_15372_1_2013_01_16_China_Swine_PEDV STDYGLFKR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >CH_SCZJ_2018_nsp9_VIPR_ALG4_AZL47227_1_12593_15372_1_2018_02_06_China_Swine_PEDV STDMAYLNR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVRQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >PC22A_P95_13_nsp9_VIPR_ALG4_1134617050_12568_15347_1_2015_06_01_USA_Swine_PEDV STDMAYLNR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDEFYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >CH_SCLS_2018_nsp9_VIPR_ALG4_AZL47221_1_12593_15372_1_2018_01_12_China_Swine_PEDV STDMAYLNR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >GDS05_nsp9_VIPR_ALG4_QCQ19797_1_12593_15372_1_2012_02_08_China_Swine_PEDV STDYGLFKR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYAVLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTIQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >PEDV_GER_L00927_K20_14_02_2014_nsp9_VIPR_ALG4_SNQ27984_1_12593_15372_1_NA_NA_Unknown_PEDV STDYGLFK--------------RVRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKIGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLCKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >ZJ15XS0101_P1_nsp9_VIPR_ALG4_AQT33893_1_12593_15372_1_2015_01_16_China_Swine_PEDV STDMAYLNEYGALVQLDYGLFKRVRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSTGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >GDS42_nsp9_VIPR_ALG4_QCQ20019_1_12593_15372_1_2011_09_25_China_Swine_PEDV STDYGLFKR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFIWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTSLFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >PEDV_GER_L00933_K22_14_05_2014_nsp9_VIPR_ALG4_SNQ28063_1_12593_15372_1_NA_NA_Unknown_PEDV STDYGLFK--------------RVRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLCKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >USA_OK10240_6_2017_nsp9_VIPR_ALG4_AVI57395_1_12593_15372_1_2017_02_07_USA_Swine_PEDV STDMAYLN--------------RVRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFIWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRTISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >CH_SD01_nsp9_VIPR_ALG4_1009101428_12593_15372_1_2015_05_01_China_Swine_PEDV STDYGLFKR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >USA_Colorado47_2013_nsp9_VIPR_ALG4_658130351_12558_15337_1_2013_10_23_USA_Swine_PEDV STDMAYLNEYGALVQLDYGLFKRVRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRTISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >GDS35_nsp9_VIPR_ALG4_QCQ20001_1_12593_15372_1_2013_12_07_China_Swine_PEDV STDYGLFKR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDALYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFIWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTSLFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >USA_Oklahoma1_2015_nsp9_VIPR_ALG4_825144391_12548_15327_1_2014_12_12_USA_Swine_PEDV STDMAYLN--------------RVRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYAYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRTISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >PEDV_GER_L00926_K20_4_01_2014_nsp9_VIPR_ALG4_SNQ27892_1_12593_15372_1_NA_NA_Unknown_PEDV STDYGLFK--------------RVRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLCKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >PEDV_GER_L01015_K01_15_05_2015_nsp9_VIPR_ALG4_SNQ28056_1_12593_15372_1_NA_NA_Unknown_PEDV STDYGLFK--------------RVRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLCKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >USA_Ohio123_2014_nsp9_VIPR_ALG4_658130687_12558_15337_1_2013_12_15_USA_Swine_PEDV STDMAYLNEYGALVQLDYGLFKRVRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >GDS33_nsp9_VIPR_ALG4_QCQ19899_1_12593_15372_1_2014_07_28_China_Swine_PEDV STDYGLFKR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >USA_Illinois255_2014_nsp9_VIPR_ALG4_825144447_12548_15327_1_2014_03_11_USA_Swine_PEDV STDMAYLNR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >PC177_nsp9_VIPR_ALG4_893707341_12582_15361_1_2013_12_USA_Swine_PEDV STDMAYLKR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >USA_Iowa106_2013_nsp9_VIPR_ALG4_658130659_12558_15337_1_2013_12_29_USA_Swine_PEDV STDMAYLNEYGALVQLDYGLFKRVRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >USA_IA_2013_49379_nsp9_VIPR_ALG4_874010821_12593_15372_1_2013_12_09_USA_Swine_PEDV STDMAYLNR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >KGS_1_JPN_2013_nsp9_VIPR_ALG4_948549151_12535_15314_1_2013_12_Japan_Pig_PEDV STDYGLFKR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >USA_Michigan189_2014_nsp9_VIPR_ALG4_825144706_12548_15327_1_2014_02_17_USA_Swine_PEDV STDMAYLN--------------RVRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >PEDV_GER_L01060_K07_15_02_2015_nsp9_VIPR_ALG4_SNQ27906_1_12593_15372_1_NA_NA_Unknown_PEDV STDYGLFK--------------RVRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLCKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >OH15962_nsp9_VIPR_ALG4_641452901_12593_15372_1_2013_06_14_USA_Swine_PEDV STDYGLFKR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >UNKNOWN_MT843278_nsp9_VIPR_ALG4_QMU85400_1_12594_15373_1_2019_12_China_Unknown_PEDV STEYGLFK--------------RVRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEGFKSYDLLEYDFTEHKTALFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ >COL_Antioquia09796_2015_nsp9_VIPR_ALG4_QGQ60311_1_12581_15360_1_2015_07_30_Colombia_Swine_PEDV STDNGLFKR--------------VRGSSAARLEPCNGTDTQHVYRAFDIYNKDVACLGKFLKVNCVRLKNLDKHDAFYVVKRCTKSAMEHEQSIYSRLEKCGAVAEHDFFTWKDGRAIYGNVCRKDLTEYTMMDLCYALRNFDENNCDVLKSILIKVGACEESYFNNKVWFDPVENEDIHRVYALLGTIVSRAMLKCVKFCDAMVEQGIVGVVTLDNQDLNGDFYDFGDFTCSIKGMGIPICTSYYSYMMPVMGMTNCLASECFVKSDIFGEDFKSYDLLEYDFTEHKTALFNKYFKYWGLQYHPNCVDCSDEQCIVHCANFNTLFSTTIPITAFGPLCRKCWIDGVPLVTTAGYHFKQLGIVWNNDLNLHSSRLSINELLQFCSDPALLIASSPALVDQRTVCFSVAALGTGMTNQTVKPGHFNKEFYDFLLEQGFFSEGSELTLKHFFFAQKGDAAVKDFDYYRYNRPTVLDICQARVVYQIVQRYFDIYEGGCITAKEVVVTNLNKSAGYPLNKFGKAGLYYESLSYEEQDELYAYTKRNILPTMTQLNLKYAISGKERARTVGGVSLLSTMTTRQYHQKHLKSIVNTRGASVVIGTTKFYGGWDNMLKNLIDGVENPCLMGWDYPKCDRALPNMIRMISAMILGSKHTTCCSSTDRFFRLCNELAQVLTEVVYSNGGFYLKPGGTTSGDATTAYANSVFNIFQAVSANVNKLLSVDSNVCHNLEVKQLQRKLYECCYRSTTVDDQFVVEYYGYLRKHFSMMILSDDGVVCYNNDYASLGYVADLNAFKAVLYYQNNVFMSASKCWIEPDINKGPHEFCSQHTMQIVDKDGTYYLPYPDPSRILSAGVFVDDVVKTDAVVLLERYVSLAIDAYPLSKHENPEYKKVFYVLLDWVKHLYKTLNAGVLESFSVTLLEDSTAKFWDESFYANMYEKSAVLQ
Reading sequence file /data//pss_subsets/LZW_nsp9_VIPR_ALG4_672096717_12593_15372_1_2012_02_China_Unknown_PEDV.result/original_alignment/codeml/fasta/LZW_nsp9_VIPR_ALG4_672096717_12593_15372_1_2012_02_China_Unknown_PEDV.result.1
Found 30 sequences of length 2823
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 0.8%
Found 72 informative sites.
Writing alignment of informative sites to: Phi.inf.sites
Writing list of informative sites to: Phi.inf.list
Calculating all pairwise incompatibilities...
Done: 0.0%100.0%
Using a window size of 80 with k as 2
Calculating analytical mean and variance
Doing permutation test for PHI
Doing permutation test for NSS
Doing Permutation test for MAXCHI
Writing alignment of polymorphic unambig sites to: Phi.poly.sites
Window size is 76 polymorphic sites
**p-Value(s)**
----------
NSS: 0.00e+00 (1000 permutations)
Max Chi^2: 5.60e-02 (1000 permutations)
PHI (Permutation): 0.00e+00 (1000 permutations)
PHI (Normal): 4.12e-08
#NEXUS
[ID: 1198532993]
begin taxa;
dimensions ntax=30;
taxlabels
USA_OK10240_6_2017_nsp9_VIPR_ALG4_AVI57395_1_12593_15372_1_2017_02_07_USA_Swine_PEDV
PEDV_GER_L00933_K22_14_05_2014_nsp9_VIPR_ALG4_SNQ28063_1_12593_15372_1_NA_NA_Unknown_PEDV
CH_SD01_nsp9_VIPR_ALG4_1009101428_12593_15372_1_2015_05_01_China_Swine_PEDV
PEDV_GER_L00926_K20_4_01_2014_nsp9_VIPR_ALG4_SNQ27892_1_12593_15372_1_NA_NA_Unknown_PEDV
USA_Oklahoma1_2015_nsp9_VIPR_ALG4_825144391_12548_15327_1_2014_12_12_USA_Swine_PEDV
PEDV_GER_L01015_K01_15_05_2015_nsp9_VIPR_ALG4_SNQ28056_1_12593_15372_1_NA_NA_Unknown_PEDV
PC177_nsp9_VIPR_ALG4_893707341_12582_15361_1_2013_12_USA_Swine_PEDV
USA_Illinois255_2014_nsp9_VIPR_ALG4_825144447_12548_15327_1_2014_03_11_USA_Swine_PEDV
PEDV_GER_L01060_K07_15_02_2015_nsp9_VIPR_ALG4_SNQ27906_1_12593_15372_1_NA_NA_Unknown_PEDV
USA_Michigan189_2014_nsp9_VIPR_ALG4_825144706_12548_15327_1_2014_02_17_USA_Swine_PEDV
CH_SCZJ_2018_nsp9_VIPR_ALG4_AZL47227_1_12593_15372_1_2018_02_06_China_Swine_PEDV
COL_Antioquia09796_2015_nsp9_VIPR_ALG4_QGQ60311_1_12581_15360_1_2015_07_30_Colombia_Swine_PEDV
PEDV_GER_L00927_K20_14_02_2014_nsp9_VIPR_ALG4_SNQ27984_1_12593_15372_1_NA_NA_Unknown_PEDV
MEX_Mexico329_2014_nsp9_VIPR_ALG4_825144419_12548_15327_1_2014_04_24_Mexico_Swine_PEDV
GDS10_nsp9_VIPR_ALG4_AWV57047_1_12593_15372_1_2013_01_16_China_Swine_PEDV
IA1_nsp9_VIPR_ALG4_551485556_12593_15372_1_2013_USA_Swine_PEDV
CH_SCLS_2018_nsp9_VIPR_ALG4_AZL47221_1_12593_15372_1_2018_01_12_China_Swine_PEDV
PC22A_P95_13_nsp9_VIPR_ALG4_1134617050_12568_15347_1_2015_06_01_USA_Swine_PEDV
GDS05_nsp9_VIPR_ALG4_QCQ19797_1_12593_15372_1_2012_02_08_China_Swine_PEDV
GDS42_nsp9_VIPR_ALG4_QCQ20019_1_12593_15372_1_2011_09_25_China_Swine_PEDV
USA_Colorado47_2013_nsp9_VIPR_ALG4_658130351_12558_15337_1_2013_10_23_USA_Swine_PEDV
GDS35_nsp9_VIPR_ALG4_QCQ20001_1_12593_15372_1_2013_12_07_China_Swine_PEDV
GDS33_nsp9_VIPR_ALG4_QCQ19899_1_12593_15372_1_2014_07_28_China_Swine_PEDV
USA_Ohio123_2014_nsp9_VIPR_ALG4_658130687_12558_15337_1_2013_12_15_USA_Swine_PEDV
KGS_1_JPN_2013_nsp9_VIPR_ALG4_948549151_12535_15314_1_2013_12_Japan_Pig_PEDV
USA_Iowa106_2013_nsp9_VIPR_ALG4_658130659_12558_15337_1_2013_12_29_USA_Swine_PEDV
USA_IA_2013_49379_nsp9_VIPR_ALG4_874010821_12593_15372_1_2013_12_09_USA_Swine_PEDV
ZJ15XS0101_P1_nsp9_VIPR_ALG4_AQT33893_1_12593_15372_1_2015_01_16_China_Swine_PEDV
UNKNOWN_MT843278_nsp9_VIPR_ALG4_QMU85400_1_12594_15373_1_2019_12_China_Unknown_PEDV
OH15962_nsp9_VIPR_ALG4_641452901_12593_15372_1_2013_06_14_USA_Swine_PEDV
;
end;
begin trees;
translate
1 USA_OK10240_6_2017_nsp9_VIPR_ALG4_AVI57395_1_12593_15372_1_2017_02_07_USA_Swine_PEDV,
2 PEDV_GER_L00933_K22_14_05_2014_nsp9_VIPR_ALG4_SNQ28063_1_12593_15372_1_NA_NA_Unknown_PEDV,
3 CH_SD01_nsp9_VIPR_ALG4_1009101428_12593_15372_1_2015_05_01_China_Swine_PEDV,
4 PEDV_GER_L00926_K20_4_01_2014_nsp9_VIPR_ALG4_SNQ27892_1_12593_15372_1_NA_NA_Unknown_PEDV,
5 USA_Oklahoma1_2015_nsp9_VIPR_ALG4_825144391_12548_15327_1_2014_12_12_USA_Swine_PEDV,
6 PEDV_GER_L01015_K01_15_05_2015_nsp9_VIPR_ALG4_SNQ28056_1_12593_15372_1_NA_NA_Unknown_PEDV,
7 PC177_nsp9_VIPR_ALG4_893707341_12582_15361_1_2013_12_USA_Swine_PEDV,
8 USA_Illinois255_2014_nsp9_VIPR_ALG4_825144447_12548_15327_1_2014_03_11_USA_Swine_PEDV,
9 PEDV_GER_L01060_K07_15_02_2015_nsp9_VIPR_ALG4_SNQ27906_1_12593_15372_1_NA_NA_Unknown_PEDV,
10 USA_Michigan189_2014_nsp9_VIPR_ALG4_825144706_12548_15327_1_2014_02_17_USA_Swine_PEDV,
11 CH_SCZJ_2018_nsp9_VIPR_ALG4_AZL47227_1_12593_15372_1_2018_02_06_China_Swine_PEDV,
12 COL_Antioquia09796_2015_nsp9_VIPR_ALG4_QGQ60311_1_12581_15360_1_2015_07_30_Colombia_Swine_PEDV,
13 PEDV_GER_L00927_K20_14_02_2014_nsp9_VIPR_ALG4_SNQ27984_1_12593_15372_1_NA_NA_Unknown_PEDV,
14 MEX_Mexico329_2014_nsp9_VIPR_ALG4_825144419_12548_15327_1_2014_04_24_Mexico_Swine_PEDV,
15 GDS10_nsp9_VIPR_ALG4_AWV57047_1_12593_15372_1_2013_01_16_China_Swine_PEDV,
16 IA1_nsp9_VIPR_ALG4_551485556_12593_15372_1_2013_USA_Swine_PEDV,
17 CH_SCLS_2018_nsp9_VIPR_ALG4_AZL47221_1_12593_15372_1_2018_01_12_China_Swine_PEDV,
18 PC22A_P95_13_nsp9_VIPR_ALG4_1134617050_12568_15347_1_2015_06_01_USA_Swine_PEDV,
19 GDS05_nsp9_VIPR_ALG4_QCQ19797_1_12593_15372_1_2012_02_08_China_Swine_PEDV,
20 GDS42_nsp9_VIPR_ALG4_QCQ20019_1_12593_15372_1_2011_09_25_China_Swine_PEDV,
21 USA_Colorado47_2013_nsp9_VIPR_ALG4_658130351_12558_15337_1_2013_10_23_USA_Swine_PEDV,
22 GDS35_nsp9_VIPR_ALG4_QCQ20001_1_12593_15372_1_2013_12_07_China_Swine_PEDV,
23 GDS33_nsp9_VIPR_ALG4_QCQ19899_1_12593_15372_1_2014_07_28_China_Swine_PEDV,
24 USA_Ohio123_2014_nsp9_VIPR_ALG4_658130687_12558_15337_1_2013_12_15_USA_Swine_PEDV,
25 KGS_1_JPN_2013_nsp9_VIPR_ALG4_948549151_12535_15314_1_2013_12_Japan_Pig_PEDV,
26 USA_Iowa106_2013_nsp9_VIPR_ALG4_658130659_12558_15337_1_2013_12_29_USA_Swine_PEDV,
27 USA_IA_2013_49379_nsp9_VIPR_ALG4_874010821_12593_15372_1_2013_12_09_USA_Swine_PEDV,
28 ZJ15XS0101_P1_nsp9_VIPR_ALG4_AQT33893_1_12593_15372_1_2015_01_16_China_Swine_PEDV,
29 UNKNOWN_MT843278_nsp9_VIPR_ALG4_QMU85400_1_12594_15373_1_2019_12_China_Unknown_PEDV,
30 OH15962_nsp9_VIPR_ALG4_641452901_12593_15372_1_2013_06_14_USA_Swine_PEDV
;
[Note: This tree contains information on the topology,
branch lengths (if present), and the probability
of the partition indicated by the branch.]
tree con_50_majrule = (1:6.367512e-04,5:1.022367e-03,((((((((((2:2.428417e-04,4:2.481362e-04,6:2.651509e-04,9:2.574095e-04,13:5.827213e-04)0.998:1.434015e-03,12:3.631720e-03)0.992:1.842859e-03,30:2.381295e-03)0.995:2.049339e-03,((19:4.639510e-03,(20:2.519916e-04,22:5.964965e-04)1.000:1.084908e-02)0.994:2.129076e-03,(23:2.436702e-03,29:4.642547e-03)0.660:8.041449e-04)0.659:8.641638e-04)0.998:2.708168e-03,15:2.792295e-04)0.901:5.903154e-04,3:5.856162e-04,16:9.770585e-04,25:2.432660e-04)0.998:3.295151e-03,7:2.450477e-04)0.978:5.933736e-04,8:2.455085e-04,10:2.409925e-04,(11:2.519037e-03,(17:6.475832e-03,(18:2.741652e-03,26:3.897459e-03)0.982:2.564432e-03,28:5.216623e-03)0.579:8.711389e-04)0.986:2.224697e-03,14:2.479342e-04,27:2.394791e-04)0.749:1.143667e-03,24:2.912547e-04)0.745:5.793762e-04,21:2.946488e-04)0.890:6.715310e-04);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:6.367512e-04,5:1.022367e-03,((((((((((2:2.428417e-04,4:2.481362e-04,6:2.651509e-04,9:2.574095e-04,13:5.827213e-04):1.434015e-03,12:3.631720e-03):1.842859e-03,30:2.381295e-03):2.049339e-03,((19:4.639510e-03,(20:2.519916e-04,22:5.964965e-04):1.084908e-02):2.129076e-03,(23:2.436702e-03,29:4.642547e-03):8.041449e-04):8.641638e-04):2.708168e-03,15:2.792295e-04):5.903154e-04,3:5.856162e-04,16:9.770585e-04,25:2.432660e-04):3.295151e-03,7:2.450477e-04):5.933736e-04,8:2.455085e-04,10:2.409925e-04,(11:2.519037e-03,(17:6.475832e-03,(18:2.741652e-03,26:3.897459e-03):2.564432e-03,28:5.216623e-03):8.711389e-04):2.224697e-03,14:2.479342e-04,27:2.394791e-04):1.143667e-03,24:2.912547e-04):5.793762e-04,21:2.946488e-04):6.715310e-04);
end;
Estimated marginal likelihoods for runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
(Use the harmonic mean for Bayes factor comparisons of models)
(Values are saved to the file /data/mrbayes_input.nex.lstat)
Run Arithmetic mean Harmonic mean
--------------------------------------
1 -5013.35 -5038.84
2 -5012.94 -5040.04
--------------------------------------
TOTAL -5013.12 -5039.61
--------------------------------------
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} 0.092014 0.000115 0.072803 0.114224 0.091313 1261.28 1381.14 1.000
r(A<->C){all} 0.034235 0.000233 0.007691 0.063920 0.031959 1025.65 1060.87 1.001
r(A<->G){all} 0.196719 0.001678 0.122818 0.282973 0.194457 620.68 706.60 1.001
r(A<->T){all} 0.067267 0.000290 0.035019 0.099295 0.065832 843.56 928.70 1.000
r(C<->G){all} 0.040166 0.000305 0.008714 0.072696 0.037726 786.83 825.87 1.002
r(C<->T){all} 0.599453 0.002289 0.505871 0.691799 0.600212 534.06 678.52 1.000
r(G<->T){all} 0.062160 0.000294 0.030479 0.095362 0.060578 961.89 1005.08 1.000
pi(A){all} 0.265486 0.000066 0.250618 0.282367 0.265509 1105.71 1143.47 1.000
pi(C){all} 0.183697 0.000051 0.169405 0.196568 0.183808 1120.48 1132.81 1.001
pi(G){all} 0.219148 0.000060 0.203650 0.233593 0.219114 1063.81 1130.94 1.000
pi(T){all} 0.331669 0.000076 0.314090 0.348188 0.331570 1048.02 1106.46 1.000
alpha{1,2} 0.131604 0.004000 0.000981 0.237670 0.130474 1016.80 1091.71 1.000
alpha{3} 2.165546 1.136093 0.601028 4.160129 1.939331 1141.61 1158.74 1.000
pinvar{all} 0.854151 0.000536 0.808894 0.897930 0.856475 696.66 795.50 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.
CODONML (in paml version 4.9h, March 2018) /data/fasta_checked/LZW_nsp9_VIPR_ALG4_672096717_12593_15372_1_2012_02_China_Unknown_PEDV.result.1
Model: One dN/dS ratio,
Codon frequency model: F3x4
Site-class models:
ns = 30 ls = 918
Codon usage in sequences
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 29 30 30 29 29 27 | Ser TCT 18 18 18 18 17 18 | Tyr TAT 45 45 45 45 43 45 | Cys TGT 22 22 22 22 22 22
TTC 22 22 22 22 23 24 | TCC 6 6 6 6 7 6 | TAC 15 15 15 15 17 15 | TGC 14 14 14 14 14 14
Leu TTA 16 16 16 16 15 15 | TCA 14 14 14 14 14 15 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 18 18 18 18 18 17 | TCG 3 3 3 3 3 2 | TAG 0 0 0 0 0 0 | Trp TGG 10 10 10 10 10 10
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 31 31 31 30 29 30 | Pro CCT 15 15 15 15 15 15 | His CAT 13 13 13 13 12 11 | Arg CGT 12 12 12 11 11 11
CTC 7 6 7 7 7 7 | CCC 4 4 4 4 4 4 | CAC 8 8 8 8 9 10 | CGC 6 6 6 7 7 7
CTA 3 3 3 3 5 4 | CCA 4 4 4 4 4 4 | Gln CAA 12 12 12 12 12 12 | CGA 0 0 0 0 0 0
CTG 9 9 9 10 9 11 | CCG 2 2 2 2 2 2 | CAG 16 16 16 16 16 16 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 18 18 18 17 17 17 | Thr ACT 31 31 31 32 31 29 | Asn AAT 26 26 26 26 26 27 | Ser AGT 8 8 8 7 8 8
ATC 8 9 8 9 9 9 | ACC 9 9 9 8 9 11 | AAC 27 26 26 27 27 26 | AGC 9 9 9 10 9 9
ATA 12 12 12 12 12 12 | ACA 11 11 11 11 11 11 | Lys AAA 20 21 21 20 20 19 | Arg AGA 7 7 7 7 7 7
Met ATG 24 23 23 24 24 24 | ACG 3 3 3 3 3 3 | AAG 38 39 38 37 38 39 | AGG 4 3 4 5 4 4
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 45 45 45 45 45 46 | Ala GCT 21 20 20 22 22 23 | Asp GAT 43 43 43 43 44 42 | Gly GGT 41 41 41 41 41 40
GTC 13 13 13 13 13 12 | GCC 10 10 9 9 8 8 | GAC 18 18 18 18 17 19 | GGC 7 8 8 7 7 8
GTA 5 5 5 5 5 5 | GCA 22 22 23 22 23 22 | Glu GAA 21 21 21 21 22 22 | GGA 5 5 5 5 5 5
GTG 12 12 12 12 12 12 | GCG 2 2 2 2 2 2 | GAG 23 23 23 23 22 22 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 28 29 28 28 29 30 | Ser TCT 18 18 18 19 18 18 | Tyr TAT 45 44 45 46 44 45 | Cys TGT 21 23 22 21 23 22
TTC 24 23 23 24 23 21 | TCC 6 6 6 5 6 6 | TAC 15 16 15 14 16 15 | TGC 15 14 14 15 14 14
Leu TTA 15 14 15 16 14 16 | TCA 14 14 14 15 14 14 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 16 20 18 18 20 18 | TCG 3 3 3 3 3 3 | TAG 0 0 0 0 0 0 | Trp TGG 10 10 10 10 10 10
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 30 29 30 28 29 31 | Pro CCT 14 15 14 14 15 15 | His CAT 13 11 14 15 11 13 | Arg CGT 11 10 11 11 10 12
CTC 7 7 7 9 7 7 | CCC 5 4 5 5 4 4 | CAC 8 10 7 6 10 8 | CGC 7 6 7 7 6 6
CTA 4 5 4 4 5 3 | CCA 4 4 4 4 4 4 | Gln CAA 12 12 12 12 12 12 | CGA 0 0 0 0 0 0
CTG 11 9 10 9 9 9 | CCG 2 2 2 2 2 2 | CAG 16 16 16 16 16 16 | CGG 1 2 1 1 2 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 16 17 17 18 17 19 | Thr ACT 31 31 31 29 31 30 | Asn AAT 27 26 27 25 26 26 | Ser AGT 9 8 9 8 8 8
ATC 10 9 9 10 9 8 | ACC 9 9 9 9 9 9 | AAC 25 26 26 27 26 27 | AGC 8 9 8 9 9 9
ATA 13 13 12 11 12 12 | ACA 11 11 12 12 11 11 | Lys AAA 22 21 20 20 21 20 | Arg AGA 7 7 7 7 7 7
Met ATG 22 23 24 23 23 23 | ACG 3 3 3 3 3 4 | AAG 37 38 38 39 38 38 | AGG 4 4 4 4 4 4
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 43 45 46 46 45 45 | Ala GCT 20 20 22 22 20 21 | Asp GAT 44 43 44 42 43 43 | Gly GGT 43 41 40 41 41 41
GTC 14 13 13 12 13 13 | GCC 9 9 9 7 9 10 | GAC 17 18 17 19 18 18 | GGC 6 8 8 8 8 7
GTA 5 4 5 5 5 5 | GCA 23 23 21 22 23 22 | Glu GAA 22 22 22 22 22 21 | GGA 5 5 5 5 5 5
GTG 14 12 11 12 12 12 | GCG 2 2 2 2 2 2 | GAG 22 22 22 22 22 23 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 30 29 28 30 29 29 | Ser TCT 18 18 19 17 18 18 | Tyr TAT 45 45 46 45 44 44 | Cys TGT 22 22 21 22 23 23
TTC 22 22 23 21 23 23 | TCC 6 6 5 6 6 6 | TAC 15 15 14 15 16 16 | TGC 14 14 15 14 14 14
Leu TTA 16 16 17 16 14 14 | TCA 14 14 15 14 14 14 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 18 18 18 18 20 20 | TCG 3 3 3 3 3 3 | TAG 0 0 0 0 0 0 | Trp TGG 10 10 10 10 10 10
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 31 31 28 31 29 29 | Pro CCT 15 15 14 15 15 15 | His CAT 13 13 15 13 11 11 | Arg CGT 12 12 11 12 10 10
CTC 7 7 9 7 7 7 | CCC 4 4 5 4 4 4 | CAC 8 8 6 8 10 10 | CGC 6 6 7 6 6 6
CTA 3 3 4 3 5 5 | CCA 4 4 4 4 4 4 | Gln CAA 12 12 12 12 12 12 | CGA 0 0 0 0 0 0
CTG 9 9 9 9 9 9 | CCG 2 2 2 2 2 2 | CAG 16 16 16 16 16 16 | CGG 1 1 1 1 2 2
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 18 18 18 18 17 17 | Thr ACT 31 31 29 31 31 31 | Asn AAT 26 26 25 26 26 26 | Ser AGT 8 8 8 8 8 8
ATC 8 8 10 8 9 9 | ACC 9 9 9 9 9 9 | AAC 26 27 27 27 26 26 | AGC 9 9 9 9 9 9
ATA 12 12 11 12 12 12 | ACA 11 11 12 11 11 11 | Lys AAA 21 20 20 20 21 21 | Arg AGA 7 7 7 7 7 7
Met ATG 23 23 23 23 23 23 | ACG 3 4 3 4 3 3 | AAG 38 38 39 38 38 38 | AGG 4 4 4 4 4 4
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 45 45 46 45 45 45 | Ala GCT 21 21 22 22 20 20 | Asp GAT 43 43 42 43 43 43 | Gly GGT 41 41 41 40 41 41
GTC 13 13 12 13 13 13 | GCC 9 10 7 10 9 9 | GAC 18 18 19 18 18 18 | GGC 8 7 8 7 8 8
GTA 5 5 5 5 5 5 | GCA 22 22 22 22 23 23 | Glu GAA 21 21 22 21 22 22 | GGA 5 5 5 5 5 5
GTG 12 12 12 12 12 12 | GCG 2 2 2 2 2 2 | GAG 23 23 22 23 22 22 | GGG 0 0 0 1 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 29 29 29 29 28 29 | Ser TCT 18 18 18 18 18 18 | Tyr TAT 45 45 45 45 44 45 | Cys TGT 22 22 22 22 22 22
TTC 22 23 22 22 23 22 | TCC 6 6 6 6 6 6 | TAC 15 15 15 15 16 15 | TGC 14 14 14 14 14 14
Leu TTA 16 16 16 16 14 16 | TCA 14 14 14 14 14 14 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 18 18 18 18 20 18 | TCG 3 3 3 3 3 3 | TAG 0 0 0 0 0 0 | Trp TGG 10 10 10 10 10 10
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 31 30 31 31 29 31 | Pro CCT 15 14 15 15 15 15 | His CAT 13 13 13 13 12 13 | Arg CGT 12 11 12 12 12 12
CTC 7 7 7 7 7 7 | CCC 4 5 4 4 4 4 | CAC 8 8 8 8 9 8 | CGC 6 7 6 6 6 6
CTA 3 4 3 3 5 3 | CCA 4 4 4 4 4 4 | Gln CAA 12 12 12 12 12 12 | CGA 0 0 0 0 0 0
CTG 9 9 9 9 9 9 | CCG 2 2 2 2 2 2 | CAG 16 16 16 16 16 16 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 18 17 18 18 17 18 | Thr ACT 31 31 31 31 31 31 | Asn AAT 26 27 26 26 26 26 | Ser AGT 8 9 8 8 8 8
ATC 8 9 8 8 9 8 | ACC 9 9 9 9 9 9 | AAC 27 25 27 26 27 27 | AGC 9 8 9 9 9 9
ATA 12 12 12 12 12 12 | ACA 11 11 11 11 11 11 | Lys AAA 20 21 20 21 20 20 | Arg AGA 7 7 7 7 7 7
Met ATG 24 23 24 24 24 24 | ACG 3 3 3 3 3 3 | AAG 38 38 38 38 38 38 | AGG 4 4 4 4 4 4
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 45 46 45 45 46 45 | Ala GCT 21 21 21 21 22 21 | Asp GAT 43 43 43 43 42 43 | Gly GGT 41 41 41 41 41 41
GTC 13 13 13 13 12 13 | GCC 10 9 10 10 8 10 | GAC 18 18 18 18 19 18 | GGC 7 8 7 7 7 7
GTA 5 5 5 5 5 5 | GCA 22 22 22 22 23 22 | Glu GAA 21 22 21 21 21 21 | GGA 5 5 5 5 5 5
GTG 12 11 12 12 12 12 | GCG 2 2 2 2 2 2 | GAG 23 22 23 23 23 23 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 30 29 29 29 29 29 | Ser TCT 18 18 18 17 18 18 | Tyr TAT 45 45 44 43 45 43 | Cys TGT 22 22 23 22 24 22
TTC 22 22 23 23 23 23 | TCC 6 6 6 7 6 6 | TAC 15 15 16 17 15 16 | TGC 14 14 14 14 12 14
Leu TTA 16 16 14 15 15 14 | TCA 14 14 14 14 14 14 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 18 18 20 18 19 20 | TCG 3 3 3 3 3 3 | TAG 0 0 0 0 0 0 | Trp TGG 10 10 10 10 10 10
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 31 31 29 30 30 29 | Pro CCT 15 15 15 15 15 15 | His CAT 13 13 11 12 13 13 | Arg CGT 12 12 10 11 11 12
CTC 7 7 7 7 7 7 | CCC 4 4 4 4 4 4 | CAC 8 8 10 9 8 8 | CGC 6 6 6 7 7 6
CTA 3 3 5 5 4 5 | CCA 4 4 4 4 4 4 | Gln CAA 12 12 12 12 14 12 | CGA 0 0 0 0 0 0
CTG 9 9 9 9 9 9 | CCG 2 2 2 2 2 2 | CAG 16 16 16 16 14 16 | CGG 1 1 2 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 18 18 17 17 17 17 | Thr ACT 31 31 31 31 31 31 | Asn AAT 26 26 26 26 26 27 | Ser AGT 8 8 8 8 9 8
ATC 8 8 9 9 9 9 | ACC 9 9 9 9 9 9 | AAC 26 27 26 26 26 26 | AGC 9 9 9 9 8 9
ATA 12 12 12 12 12 12 | ACA 11 11 11 11 11 11 | Lys AAA 21 20 21 21 20 21 | Arg AGA 7 7 7 7 7 7
Met ATG 23 24 23 23 23 23 | ACG 3 3 3 3 3 3 | AAG 38 38 38 38 39 38 | AGG 4 4 4 4 4 4
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 45 45 45 45 46 45 | Ala GCT 20 21 20 21 20 22 | Asp GAT 43 43 43 44 41 42 | Gly GGT 41 41 41 41 42 41
GTC 13 13 13 13 12 13 | GCC 10 10 9 8 10 8 | GAC 18 18 18 17 18 19 | GGC 8 7 8 8 8 8
GTA 5 5 5 5 5 5 | GCA 22 22 23 23 22 22 | Glu GAA 21 21 22 22 23 21 | GGA 5 5 5 5 5 5
GTG 12 12 12 12 12 12 | GCG 2 2 2 2 2 2 | GAG 23 23 22 22 22 23 | GGG 0 0 0 0 0 0
--------------------------------------------------------------------------------------------------------------------------------------
Codon position x base (3x4) table for each sequence.
#1: C255
position 1: T:0.25272 C:0.15577 A:0.27778 G:0.31373
position 2: T:0.29630 C:0.19063 A:0.35403 G:0.15904
position 3: T:0.45534 C:0.19935 A:0.16558 G:0.17974
Average T:0.33479 C:0.18192 A:0.26580 G:0.21750
#2: C181
position 1: T:0.25381 C:0.15468 A:0.27778 G:0.31373
position 2: T:0.29630 C:0.18954 A:0.35512 G:0.15904
position 3: T:0.45534 C:0.19935 A:0.16667 G:0.17865
Average T:0.33515 C:0.18119 A:0.26652 G:0.21714
#3: C112
position 1: T:0.25381 C:0.15577 A:0.27669 G:0.31373
position 2: T:0.29630 C:0.18954 A:0.35403 G:0.16013
position 3: T:0.45534 C:0.19826 A:0.16776 G:0.17865
Average T:0.33515 C:0.18119 A:0.26616 G:0.21750
#4: C61
position 1: T:0.25272 C:0.15577 A:0.27778 G:0.31373
position 2: T:0.29630 C:0.19063 A:0.35294 G:0.16013
position 3: T:0.45316 C:0.20044 A:0.16558 G:0.18083
Average T:0.33406 C:0.18228 A:0.26543 G:0.21823
#5: C290
position 1: T:0.25272 C:0.15577 A:0.27778 G:0.31373
position 2: T:0.29630 C:0.19063 A:0.35403 G:0.15904
position 3: T:0.44880 C:0.20370 A:0.16885 G:0.17865
Average T:0.33261 C:0.18337 A:0.26688 G:0.21714
#6: C58
position 1: T:0.25054 C:0.15795 A:0.27778 G:0.31373
position 2: T:0.29630 C:0.19063 A:0.35403 G:0.15904
position 3: T:0.44771 C:0.20588 A:0.16667 G:0.17974
Average T:0.33152 C:0.18482 A:0.26616 G:0.21750
#7: C107
position 1: T:0.25054 C:0.15795 A:0.27669 G:0.31481
position 2: T:0.29630 C:0.18954 A:0.35403 G:0.16013
position 3: T:0.44989 C:0.20153 A:0.17102 G:0.17756
Average T:0.33224 C:0.18301 A:0.26725 G:0.21750
#8: C316
position 1: T:0.25490 C:0.15468 A:0.27778 G:0.31264
position 2: T:0.29630 C:0.18954 A:0.35403 G:0.16013
position 3: T:0.44662 C:0.20370 A:0.16885 G:0.18083
Average T:0.33261 C:0.18264 A:0.26688 G:0.21786
#9: C565
position 1: T:0.25163 C:0.15686 A:0.27887 G:0.31264
position 2: T:0.29630 C:0.19063 A:0.35403 G:0.15904
position 3: T:0.45534 C:0.19935 A:0.16667 G:0.17865
Average T:0.33442 C:0.18228 A:0.26652 G:0.21678
#10: C144
position 1: T:0.25490 C:0.15577 A:0.27669 G:0.31264
position 2: T:0.29739 C:0.18845 A:0.35403 G:0.16013
position 3: T:0.44989 C:0.20261 A:0.16885 G:0.17865
Average T:0.33406 C:0.18228 A:0.26652 G:0.21714
#11: C322
position 1: T:0.25490 C:0.15468 A:0.27669 G:0.31373
position 2: T:0.29630 C:0.18954 A:0.35403 G:0.16013
position 3: T:0.44662 C:0.20370 A:0.16885 G:0.18083
Average T:0.33261 C:0.18264 A:0.26652 G:0.21823
#12: C521
position 1: T:0.25272 C:0.15577 A:0.27778 G:0.31373
position 2: T:0.29630 C:0.19063 A:0.35403 G:0.15904
position 3: T:0.45643 C:0.19826 A:0.16558 G:0.17974
Average T:0.33515 C:0.18155 A:0.26580 G:0.21750
#13: C64
position 1: T:0.25381 C:0.15577 A:0.27669 G:0.31373
position 2: T:0.29630 C:0.18954 A:0.35403 G:0.16013
position 3: T:0.45643 C:0.19826 A:0.16667 G:0.17865
Average T:0.33551 C:0.18119 A:0.26580 G:0.21750
#14: C398
position 1: T:0.25272 C:0.15577 A:0.27778 G:0.31373
position 2: T:0.29521 C:0.19172 A:0.35403 G:0.15904
position 3: T:0.45534 C:0.19935 A:0.16558 G:0.17974
Average T:0.33442 C:0.18228 A:0.26580 G:0.21750
#15: C136
position 1: T:0.25490 C:0.15577 A:0.27669 G:0.31264
position 2: T:0.29739 C:0.18845 A:0.35403 G:0.16013
position 3: T:0.44989 C:0.20153 A:0.16993 G:0.17865
Average T:0.33406 C:0.18192 A:0.26688 G:0.21714
#16: C533
position 1: T:0.25163 C:0.15577 A:0.27778 G:0.31481
position 2: T:0.29521 C:0.19172 A:0.35403 G:0.15904
position 3: T:0.45534 C:0.19826 A:0.16558 G:0.18083
Average T:0.33406 C:0.18192 A:0.26580 G:0.21823
#17: C317
position 1: T:0.25490 C:0.15468 A:0.27669 G:0.31373
position 2: T:0.29630 C:0.18954 A:0.35403 G:0.16013
position 3: T:0.44662 C:0.20370 A:0.16885 G:0.18083
Average T:0.33261 C:0.18264 A:0.26652 G:0.21823
#18: C328
position 1: T:0.25490 C:0.15468 A:0.27669 G:0.31373
position 2: T:0.29630 C:0.18954 A:0.35403 G:0.16013
position 3: T:0.44662 C:0.20370 A:0.16885 G:0.18083
Average T:0.33261 C:0.18264 A:0.26652 G:0.21823
#19: C526
position 1: T:0.25272 C:0.15577 A:0.27778 G:0.31373
position 2: T:0.29630 C:0.19063 A:0.35403 G:0.15904
position 3: T:0.45534 C:0.19935 A:0.16558 G:0.17974
Average T:0.33479 C:0.18192 A:0.26580 G:0.21750
#20: C135
position 1: T:0.25381 C:0.15577 A:0.27669 G:0.31373
position 2: T:0.29630 C:0.18954 A:0.35403 G:0.16013
position 3: T:0.45425 C:0.20044 A:0.16885 G:0.17647
Average T:0.33479 C:0.18192 A:0.26652 G:0.21678
#21: C407
position 1: T:0.25272 C:0.15577 A:0.27778 G:0.31373
position 2: T:0.29630 C:0.19063 A:0.35403 G:0.15904
position 3: T:0.45534 C:0.19935 A:0.16558 G:0.17974
Average T:0.33479 C:0.18192 A:0.26580 G:0.21750
#22: C275
position 1: T:0.25272 C:0.15577 A:0.27778 G:0.31373
position 2: T:0.29630 C:0.19063 A:0.35403 G:0.15904
position 3: T:0.45534 C:0.19826 A:0.16667 G:0.17974
Average T:0.33479 C:0.18155 A:0.26616 G:0.21750
#23: C425
position 1: T:0.25272 C:0.15577 A:0.27778 G:0.31373
position 2: T:0.29630 C:0.19063 A:0.35403 G:0.15904
position 3: T:0.44989 C:0.20153 A:0.16667 G:0.18192
Average T:0.33297 C:0.18264 A:0.26616 G:0.21823
#24: C400
position 1: T:0.25272 C:0.15577 A:0.27778 G:0.31373
position 2: T:0.29630 C:0.19063 A:0.35403 G:0.15904
position 3: T:0.45534 C:0.19935 A:0.16558 G:0.17974
Average T:0.33479 C:0.18192 A:0.26580 G:0.21750
#25: C209
position 1: T:0.25381 C:0.15577 A:0.27669 G:0.31373
position 2: T:0.29630 C:0.18954 A:0.35403 G:0.16013
position 3: T:0.45534 C:0.19935 A:0.16667 G:0.17865
Average T:0.33515 C:0.18155 A:0.26580 G:0.21750
#26: C449
position 1: T:0.25272 C:0.15577 A:0.27778 G:0.31373
position 2: T:0.29630 C:0.19063 A:0.35403 G:0.15904
position 3: T:0.45534 C:0.19935 A:0.16558 G:0.17974
Average T:0.33479 C:0.18192 A:0.26580 G:0.21750
#27: C334
position 1: T:0.25490 C:0.15468 A:0.27669 G:0.31373
position 2: T:0.29630 C:0.18954 A:0.35403 G:0.16013
position 3: T:0.44662 C:0.20370 A:0.16885 G:0.18083
Average T:0.33261 C:0.18264 A:0.26652 G:0.21823
#28: C270
position 1: T:0.25272 C:0.15686 A:0.27669 G:0.31373
position 2: T:0.29630 C:0.18954 A:0.35403 G:0.16013
position 3: T:0.44880 C:0.20370 A:0.16993 G:0.17756
Average T:0.33261 C:0.18337 A:0.26688 G:0.21714
#29: C391
position 1: T:0.25381 C:0.15577 A:0.27669 G:0.31373
position 2: T:0.29630 C:0.18954 A:0.35294 G:0.16122
position 3: T:0.45425 C:0.19826 A:0.16993 G:0.17756
Average T:0.33479 C:0.18119 A:0.26652 G:0.21750
#30: C82
position 1: T:0.25272 C:0.15577 A:0.27778 G:0.31373
position 2: T:0.29630 C:0.18954 A:0.35403 G:0.16013
position 3: T:0.45098 C:0.20153 A:0.16667 G:0.18083
Average T:0.33333 C:0.18228 A:0.26616 G:0.21823
Sums of codon usage counts
------------------------------------------------------------------------------
Phe F TTT 869 | Ser S TCT 539 | Tyr Y TAT 1340 | Cys C TGT 664
TTC 677 | TCC 180 | TAC 459 | TGC 421
Leu L TTA 461 | TCA 423 | *** * TAA 0 | *** * TGA 0
TTG 552 | TCG 89 | TAG 0 | Trp W TGG 300
------------------------------------------------------------------------------
Leu L CTT 901 | Pro P CCT 445 | His H CAT 380 | Arg R CGT 340
CTC 213 | CCC 125 | CAC 250 | CGC 190
CTA 115 | CCA 120 | Gln Q CAA 362 | CGA 0
CTG 276 | CCG 60 | CAG 478 | CGG 35
------------------------------------------------------------------------------
Ile I ATT 525 | Thr T ACT 924 | Asn N AAT 783 | Ser S AGT 243
ATC 261 | ACC 271 | AAC 791 | AGC 267
ATA 360 | ACA 333 | Lys K AAA 614 | Arg R AGA 210
Met M ATG 700 | ACG 93 | AAG 1143 | AGG 120
------------------------------------------------------------------------------
Val V GTT 1355 | Ala A GCT 630 | Asp D GAT 1287 | Gly G GGT 1230
GTC 386 | GCC 273 | GAC 541 | GGC 226
GTA 149 | GCA 669 | Glu E GAA 645 | GGA 150
GTG 360 | GCG 60 | GAG 676 | GGG 1
------------------------------------------------------------------------------
Codon position x base (3x4) table, overall
position 1: T:0.25323 C:0.15577 A:0.27734 G:0.31365
position 2: T:0.29630 C:0.19005 A:0.35399 G:0.15966
position 3: T:0.45225 C:0.20084 A:0.16743 G:0.17948
Average T:0.33393 C:0.18222 A:0.26626 G:0.21760
Model 1: NearlyNeutral (2 categories)
TREE # 1: (12, 16, ((((((((((11, 17, 18, 27, 8), 30), 28), ((7, (10, 15)), (20, 29))), 3), 13, 2, 25), 22), 21, 26, (4, (6, (5, 23), 9)), 1, 24), 19), 14)); MP score: 167
lnL(ntime: 47 np: 50): -4778.011112 +0.000000
31..12 31..16 31..32 32..33 33..34 34..35 35..36 36..37 37..38 38..39 39..40 40..41 41..11 41..17 41..18 41..27 41..8 40..30 39..28 38..42 42..43 43..7 43..44 44..10 44..15 42..45 45..20 45..29 37..3 36..13 36..2 36..25 35..22 34..21 34..26 34..46 46..4 46..47 47..6 47..48 48..5 48..23 47..9 34..1 34..24 33..19 32..14
0.001144 0.002294 0.001142 0.001142 0.000004 0.001144 0.009242 0.001145 0.007751 0.005258 0.004888 0.003240 0.000004 0.000004 0.000004 0.000004 0.001139 0.010574 0.007092 0.001895 0.005917 0.013322 0.030119 0.000004 0.001143 0.001666 0.006552 0.013150 0.000004 0.001144 0.002287 0.000004 0.000004 0.000004 0.000004 0.005755 0.006907 0.003366 0.018536 0.006923 0.008070 0.006883 0.010467 0.000004 0.000004 0.000004 0.000004 3.409761 0.945015 0.003480
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.201357
(12: 0.001144, 16: 0.002294, ((((((((((11: 0.000004, 17: 0.000004, 18: 0.000004, 27: 0.000004, 8: 0.001139): 0.003240, 30: 0.010574): 0.004888, 28: 0.007092): 0.005258, ((7: 0.013322, (10: 0.000004, 15: 0.001143): 0.030119): 0.005917, (20: 0.006552, 29: 0.013150): 0.001666): 0.001895): 0.007751, 3: 0.000004): 0.001145, 13: 0.001144, 2: 0.002287, 25: 0.000004): 0.009242, 22: 0.000004): 0.001144, 21: 0.000004, 26: 0.000004, (4: 0.006907, (6: 0.018536, (5: 0.008070, 23: 0.006883): 0.006923, 9: 0.010467): 0.003366): 0.005755, 1: 0.000004, 24: 0.000004): 0.000004, 19: 0.000004): 0.001142, 14: 0.000004): 0.001142);
(C521: 0.001144, C533: 0.002294, ((((((((((C322: 0.000004, C317: 0.000004, C328: 0.000004, C334: 0.000004, C316: 0.001139): 0.003240, C82: 0.010574): 0.004888, C270: 0.007092): 0.005258, ((C107: 0.013322, (C144: 0.000004, C136: 0.001143): 0.030119): 0.005917, (C135: 0.006552, C391: 0.013150): 0.001666): 0.001895): 0.007751, C112: 0.000004): 0.001145, C64: 0.001144, C181: 0.002287, C209: 0.000004): 0.009242, C275: 0.000004): 0.001144, C407: 0.000004, C449: 0.000004, (C61: 0.006907, (C58: 0.018536, (C290: 0.008070, C425: 0.006883): 0.006923, C565: 0.010467): 0.003366): 0.005755, C255: 0.000004, C400: 0.000004): 0.000004, C526: 0.000004): 0.001142, C398: 0.000004): 0.001142);
Detailed output identifying parameters
kappa (ts/tv) = 3.40976
MLEs of dN/dS (w) for site classes (K=2)
p: 0.94502 0.05498
w: 0.00348 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.001 2097.6 656.4 0.0583 0.0001 0.0013 0.2 0.9
31..16 0.002 2097.6 656.4 0.0583 0.0002 0.0027 0.3 1.8
31..32 0.001 2097.6 656.4 0.0583 0.0001 0.0013 0.2 0.9
32..33 0.001 2097.6 656.4 0.0583 0.0001 0.0013 0.2 0.9
33..34 0.000 2097.6 656.4 0.0583 0.0000 0.0000 0.0 0.0
34..35 0.001 2097.6 656.4 0.0583 0.0001 0.0013 0.2 0.9
35..36 0.009 2097.6 656.4 0.0583 0.0006 0.0109 1.3 7.2
36..37 0.001 2097.6 656.4 0.0583 0.0001 0.0013 0.2 0.9
37..38 0.008 2097.6 656.4 0.0583 0.0005 0.0091 1.1 6.0
38..39 0.005 2097.6 656.4 0.0583 0.0004 0.0062 0.8 4.1
39..40 0.005 2097.6 656.4 0.0583 0.0003 0.0058 0.7 3.8
40..41 0.003 2097.6 656.4 0.0583 0.0002 0.0038 0.5 2.5
41..11 0.000 2097.6 656.4 0.0583 0.0000 0.0000 0.0 0.0
41..17 0.000 2097.6 656.4 0.0583 0.0000 0.0000 0.0 0.0
41..18 0.000 2097.6 656.4 0.0583 0.0000 0.0000 0.0 0.0
41..27 0.000 2097.6 656.4 0.0583 0.0000 0.0000 0.0 0.0
41..8 0.001 2097.6 656.4 0.0583 0.0001 0.0013 0.2 0.9
40..30 0.011 2097.6 656.4 0.0583 0.0007 0.0125 1.5 8.2
39..28 0.007 2097.6 656.4 0.0583 0.0005 0.0084 1.0 5.5
38..42 0.002 2097.6 656.4 0.0583 0.0001 0.0022 0.3 1.5
42..43 0.006 2097.6 656.4 0.0583 0.0004 0.0070 0.9 4.6
43..7 0.013 2097.6 656.4 0.0583 0.0009 0.0157 1.9 10.3
43..44 0.030 2097.6 656.4 0.0583 0.0021 0.0355 4.3 23.3
44..10 0.000 2097.6 656.4 0.0583 0.0000 0.0000 0.0 0.0
44..15 0.001 2097.6 656.4 0.0583 0.0001 0.0013 0.2 0.9
42..45 0.002 2097.6 656.4 0.0583 0.0001 0.0020 0.2 1.3
45..20 0.007 2097.6 656.4 0.0583 0.0005 0.0077 0.9 5.1
45..29 0.013 2097.6 656.4 0.0583 0.0009 0.0155 1.9 10.2
37..3 0.000 2097.6 656.4 0.0583 0.0000 0.0000 0.0 0.0
36..13 0.001 2097.6 656.4 0.0583 0.0001 0.0013 0.2 0.9
36..2 0.002 2097.6 656.4 0.0583 0.0002 0.0027 0.3 1.8
36..25 0.000 2097.6 656.4 0.0583 0.0000 0.0000 0.0 0.0
35..22 0.000 2097.6 656.4 0.0583 0.0000 0.0000 0.0 0.0
34..21 0.000 2097.6 656.4 0.0583 0.0000 0.0000 0.0 0.0
34..26 0.000 2097.6 656.4 0.0583 0.0000 0.0000 0.0 0.0
34..46 0.006 2097.6 656.4 0.0583 0.0004 0.0068 0.8 4.5
46..4 0.007 2097.6 656.4 0.0583 0.0005 0.0081 1.0 5.3
46..47 0.003 2097.6 656.4 0.0583 0.0002 0.0040 0.5 2.6
47..6 0.019 2097.6 656.4 0.0583 0.0013 0.0219 2.7 14.3
47..48 0.007 2097.6 656.4 0.0583 0.0005 0.0082 1.0 5.4
48..5 0.008 2097.6 656.4 0.0583 0.0006 0.0095 1.2 6.2
48..23 0.007 2097.6 656.4 0.0583 0.0005 0.0081 1.0 5.3
47..9 0.010 2097.6 656.4 0.0583 0.0007 0.0123 1.5 8.1
34..1 0.000 2097.6 656.4 0.0583 0.0000 0.0000 0.0 0.0
34..24 0.000 2097.6 656.4 0.0583 0.0000 0.0000 0.0 0.0
33..19 0.000 2097.6 656.4 0.0583 0.0000 0.0000 0.0 0.0
32..14 0.000 2097.6 656.4 0.0583 0.0000 0.0000 0.0 0.0
Time used: 7:14
Model 2: PositiveSelection (3 categories)
TREE # 1: (12, 16, ((((((((((11, 17, 18, 27, 8), 30), 28), ((7, (10, 15)), (20, 29))), 3), 13, 2, 25), 22), 21, 26, (4, (6, (5, 23), 9)), 1, 24), 19), 14)); MP score: 167
lnL(ntime: 47 np: 52): -4769.718565 +0.000000
31..12 31..16 31..32 32..33 33..34 34..35 35..36 36..37 37..38 38..39 39..40 40..41 41..11 41..17 41..18 41..27 41..8 40..30 39..28 38..42 42..43 43..7 43..44 44..10 44..15 42..45 45..20 45..29 37..3 36..13 36..2 36..25 35..22 34..21 34..26 34..46 46..4 46..47 47..6 47..48 48..5 48..23 47..9 34..1 34..24 33..19 32..14
0.001123 0.002255 0.001121 0.001121 0.000004 0.001123 0.009181 0.001123 0.007953 0.005469 0.004865 0.003356 0.000004 0.000004 0.000004 0.000004 0.001180 0.010990 0.007262 0.001517 0.006293 0.013947 0.031348 0.000004 0.001183 0.001823 0.006819 0.013632 0.000004 0.001123 0.002248 0.000004 0.000004 0.000004 0.000004 0.006786 0.008609 0.002474 0.019273 0.007209 0.008105 0.007118 0.010843 0.000004 0.000004 0.000004 0.000004 3.867776 0.947931 0.050938 0.007616 28.476499
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.208533
(12: 0.001123, 16: 0.002255, ((((((((((11: 0.000004, 17: 0.000004, 18: 0.000004, 27: 0.000004, 8: 0.001180): 0.003356, 30: 0.010990): 0.004865, 28: 0.007262): 0.005469, ((7: 0.013947, (10: 0.000004, 15: 0.001183): 0.031348): 0.006293, (20: 0.006819, 29: 0.013632): 0.001823): 0.001517): 0.007953, 3: 0.000004): 0.001123, 13: 0.001123, 2: 0.002248, 25: 0.000004): 0.009181, 22: 0.000004): 0.001123, 21: 0.000004, 26: 0.000004, (4: 0.008609, (6: 0.019273, (5: 0.008105, 23: 0.007118): 0.007209, 9: 0.010843): 0.002474): 0.006786, 1: 0.000004, 24: 0.000004): 0.000004, 19: 0.000004): 0.001121, 14: 0.000004): 0.001121);
(C521: 0.001123, C533: 0.002255, ((((((((((C322: 0.000004, C317: 0.000004, C328: 0.000004, C334: 0.000004, C316: 0.001180): 0.003356, C82: 0.010990): 0.004865, C270: 0.007262): 0.005469, ((C107: 0.013947, (C144: 0.000004, C136: 0.001183): 0.031348): 0.006293, (C135: 0.006819, C391: 0.013632): 0.001823): 0.001517): 0.007953, C112: 0.000004): 0.001123, C64: 0.001123, C181: 0.002248, C209: 0.000004): 0.009181, C275: 0.000004): 0.001123, C407: 0.000004, C449: 0.000004, (C61: 0.008609, (C58: 0.019273, (C290: 0.008105, C425: 0.007118): 0.007209, C565: 0.010843): 0.002474): 0.006786, C255: 0.000004, C400: 0.000004): 0.000004, C526: 0.000004): 0.001121, C398: 0.000004): 0.001121);
Detailed output identifying parameters
kappa (ts/tv) = 3.86778
MLEs of dN/dS (w) for site classes (K=3)
p: 0.94793 0.05094 0.00113
w: 0.00762 1.00000 28.47650
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.001 2082.6 671.4 0.0904 0.0001 0.0012 0.2 0.8
31..16 0.002 2082.6 671.4 0.0904 0.0002 0.0024 0.5 1.6
31..32 0.001 2082.6 671.4 0.0904 0.0001 0.0012 0.2 0.8
32..33 0.001 2082.6 671.4 0.0904 0.0001 0.0012 0.2 0.8
33..34 0.000 2082.6 671.4 0.0904 0.0000 0.0000 0.0 0.0
34..35 0.001 2082.6 671.4 0.0904 0.0001 0.0012 0.2 0.8
35..36 0.009 2082.6 671.4 0.0904 0.0009 0.0098 1.8 6.6
36..37 0.001 2082.6 671.4 0.0904 0.0001 0.0012 0.2 0.8
37..38 0.008 2082.6 671.4 0.0904 0.0008 0.0085 1.6 5.7
38..39 0.005 2082.6 671.4 0.0904 0.0005 0.0058 1.1 3.9
39..40 0.005 2082.6 671.4 0.0904 0.0005 0.0052 1.0 3.5
40..41 0.003 2082.6 671.4 0.0904 0.0003 0.0036 0.7 2.4
41..11 0.000 2082.6 671.4 0.0904 0.0000 0.0000 0.0 0.0
41..17 0.000 2082.6 671.4 0.0904 0.0000 0.0000 0.0 0.0
41..18 0.000 2082.6 671.4 0.0904 0.0000 0.0000 0.0 0.0
41..27 0.000 2082.6 671.4 0.0904 0.0000 0.0000 0.0 0.0
41..8 0.001 2082.6 671.4 0.0904 0.0001 0.0013 0.2 0.8
40..30 0.011 2082.6 671.4 0.0904 0.0011 0.0117 2.2 7.9
39..28 0.007 2082.6 671.4 0.0904 0.0007 0.0078 1.5 5.2
38..42 0.002 2082.6 671.4 0.0904 0.0001 0.0016 0.3 1.1
42..43 0.006 2082.6 671.4 0.0904 0.0006 0.0067 1.3 4.5
43..7 0.014 2082.6 671.4 0.0904 0.0013 0.0149 2.8 10.0
43..44 0.031 2082.6 671.4 0.0904 0.0030 0.0335 6.3 22.5
44..10 0.000 2082.6 671.4 0.0904 0.0000 0.0000 0.0 0.0
44..15 0.001 2082.6 671.4 0.0904 0.0001 0.0013 0.2 0.8
42..45 0.002 2082.6 671.4 0.0904 0.0002 0.0019 0.4 1.3
45..20 0.007 2082.6 671.4 0.0904 0.0007 0.0073 1.4 4.9
45..29 0.014 2082.6 671.4 0.0904 0.0013 0.0146 2.7 9.8
37..3 0.000 2082.6 671.4 0.0904 0.0000 0.0000 0.0 0.0
36..13 0.001 2082.6 671.4 0.0904 0.0001 0.0012 0.2 0.8
36..2 0.002 2082.6 671.4 0.0904 0.0002 0.0024 0.5 1.6
36..25 0.000 2082.6 671.4 0.0904 0.0000 0.0000 0.0 0.0
35..22 0.000 2082.6 671.4 0.0904 0.0000 0.0000 0.0 0.0
34..21 0.000 2082.6 671.4 0.0904 0.0000 0.0000 0.0 0.0
34..26 0.000 2082.6 671.4 0.0904 0.0000 0.0000 0.0 0.0
34..46 0.007 2082.6 671.4 0.0904 0.0007 0.0072 1.4 4.9
46..4 0.009 2082.6 671.4 0.0904 0.0008 0.0092 1.7 6.2
46..47 0.002 2082.6 671.4 0.0904 0.0002 0.0026 0.5 1.8
47..6 0.019 2082.6 671.4 0.0904 0.0019 0.0206 3.9 13.8
47..48 0.007 2082.6 671.4 0.0904 0.0007 0.0077 1.4 5.2
48..5 0.008 2082.6 671.4 0.0904 0.0008 0.0087 1.6 5.8
48..23 0.007 2082.6 671.4 0.0904 0.0007 0.0076 1.4 5.1
47..9 0.011 2082.6 671.4 0.0904 0.0010 0.0116 2.2 7.8
34..1 0.000 2082.6 671.4 0.0904 0.0000 0.0000 0.0 0.0
34..24 0.000 2082.6 671.4 0.0904 0.0000 0.0000 0.0 0.0
33..19 0.000 2082.6 671.4 0.0904 0.0000 0.0000 0.0 0.0
32..14 0.000 2082.6 671.4 0.0904 0.0000 0.0000 0.0 0.0
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C255)
Pr(w>1) post mean +- SE for w
881 L 1.000** 28.475
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C255)
Pr(w>1) post mean +- SE for w
4 M 0.882 2.320 +- 1.215
6 Y 0.713 2.060 +- 1.253
88 T 0.617 1.827 +- 1.139
881 L 0.914 2.333 +- 1.242
The grid (see ternary graph for p0-p1)
w0: 0.050 0.150 0.250 0.350 0.450 0.550 0.650 0.750 0.850 0.950
w2: 1.500 2.500 3.500 4.500 5.500 6.500 7.500 8.500 9.500 10.500
Posterior on the grid
w0: 1.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
w2: 0.462 0.316 0.136 0.051 0.020 0.008 0.004 0.002 0.001 0.001
Posterior for p0-p1 (see the ternary graph) (YWN2015, fig. 1)
0.000
0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 1.000
sum of density on p0-p1 = 1.000000
Time used: 15:47
Model 7: beta (10 categories)
TREE # 1: (12, 16, ((((((((((11, 17, 18, 27, 8), 30), 28), ((7, (10, 15)), (20, 29))), 3), 13, 2, 25), 22), 21, 26, (4, (6, (5, 23), 9)), 1, 24), 19), 14)); MP score: 167
lnL(ntime: 47 np: 50): -4779.883312 +0.000000
31..12 31..16 31..32 32..33 33..34 34..35 35..36 36..37 37..38 38..39 39..40 40..41 41..11 41..17 41..18 41..27 41..8 40..30 39..28 38..42 42..43 43..7 43..44 44..10 44..15 42..45 45..20 45..29 37..3 36..13 36..2 36..25 35..22 34..21 34..26 34..46 46..4 46..47 47..6 47..48 48..5 48..23 47..9 34..1 34..24 33..19 32..14
0.001150 0.002303 0.001146 0.001147 0.000004 0.001149 0.009271 0.001150 0.007574 0.005294 0.005109 0.003242 0.000004 0.000004 0.000004 0.000004 0.001144 0.010616 0.006889 0.002268 0.005834 0.013298 0.030243 0.000004 0.001147 0.001611 0.006560 0.013190 0.000004 0.001149 0.002297 0.000004 0.000004 0.000004 0.000004 0.005772 0.006925 0.003354 0.018627 0.006949 0.008076 0.006938 0.010531 0.000004 0.000004 0.000004 0.000004 3.448243 0.010392 0.176057
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.202014
(12: 0.001150, 16: 0.002303, ((((((((((11: 0.000004, 17: 0.000004, 18: 0.000004, 27: 0.000004, 8: 0.001144): 0.003242, 30: 0.010616): 0.005109, 28: 0.006889): 0.005294, ((7: 0.013298, (10: 0.000004, 15: 0.001147): 0.030243): 0.005834, (20: 0.006560, 29: 0.013190): 0.001611): 0.002268): 0.007574, 3: 0.000004): 0.001150, 13: 0.001149, 2: 0.002297, 25: 0.000004): 0.009271, 22: 0.000004): 0.001149, 21: 0.000004, 26: 0.000004, (4: 0.006925, (6: 0.018627, (5: 0.008076, 23: 0.006938): 0.006949, 9: 0.010531): 0.003354): 0.005772, 1: 0.000004, 24: 0.000004): 0.000004, 19: 0.000004): 0.001147, 14: 0.000004): 0.001146);
(C521: 0.001150, C533: 0.002303, ((((((((((C322: 0.000004, C317: 0.000004, C328: 0.000004, C334: 0.000004, C316: 0.001144): 0.003242, C82: 0.010616): 0.005109, C270: 0.006889): 0.005294, ((C107: 0.013298, (C144: 0.000004, C136: 0.001147): 0.030243): 0.005834, (C135: 0.006560, C391: 0.013190): 0.001611): 0.002268): 0.007574, C112: 0.000004): 0.001150, C64: 0.001149, C181: 0.002297, C209: 0.000004): 0.009271, C275: 0.000004): 0.001149, C407: 0.000004, C449: 0.000004, (C61: 0.006925, (C58: 0.018627, (C290: 0.008076, C425: 0.006938): 0.006949, C565: 0.010531): 0.003354): 0.005772, C255: 0.000004, C400: 0.000004): 0.000004, C526: 0.000004): 0.001147, C398: 0.000004): 0.001146);
Detailed output identifying parameters
kappa (ts/tv) = 3.44824
Parameters in M7 (beta):
p = 0.01039 q = 0.17606
MLEs of dN/dS (w) for site classes (K=10)
p: 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000
w: 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00003 0.63499
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.001 2096.2 657.8 0.0635 0.0001 0.0013 0.2 0.9
31..16 0.002 2096.2 657.8 0.0635 0.0002 0.0027 0.4 1.8
31..32 0.001 2096.2 657.8 0.0635 0.0001 0.0013 0.2 0.9
32..33 0.001 2096.2 657.8 0.0635 0.0001 0.0013 0.2 0.9
33..34 0.000 2096.2 657.8 0.0635 0.0000 0.0000 0.0 0.0
34..35 0.001 2096.2 657.8 0.0635 0.0001 0.0013 0.2 0.9
35..36 0.009 2096.2 657.8 0.0635 0.0007 0.0108 1.4 7.1
36..37 0.001 2096.2 657.8 0.0635 0.0001 0.0013 0.2 0.9
37..38 0.008 2096.2 657.8 0.0635 0.0006 0.0088 1.2 5.8
38..39 0.005 2096.2 657.8 0.0635 0.0004 0.0061 0.8 4.0
39..40 0.005 2096.2 657.8 0.0635 0.0004 0.0059 0.8 3.9
40..41 0.003 2096.2 657.8 0.0635 0.0002 0.0038 0.5 2.5
41..11 0.000 2096.2 657.8 0.0635 0.0000 0.0000 0.0 0.0
41..17 0.000 2096.2 657.8 0.0635 0.0000 0.0000 0.0 0.0
41..18 0.000 2096.2 657.8 0.0635 0.0000 0.0000 0.0 0.0
41..27 0.000 2096.2 657.8 0.0635 0.0000 0.0000 0.0 0.0
41..8 0.001 2096.2 657.8 0.0635 0.0001 0.0013 0.2 0.9
40..30 0.011 2096.2 657.8 0.0635 0.0008 0.0123 1.6 8.1
39..28 0.007 2096.2 657.8 0.0635 0.0005 0.0080 1.1 5.3
38..42 0.002 2096.2 657.8 0.0635 0.0002 0.0026 0.4 1.7
42..43 0.006 2096.2 657.8 0.0635 0.0004 0.0068 0.9 4.5
43..7 0.013 2096.2 657.8 0.0635 0.0010 0.0154 2.1 10.2
43..44 0.030 2096.2 657.8 0.0635 0.0022 0.0351 4.7 23.1
44..10 0.000 2096.2 657.8 0.0635 0.0000 0.0000 0.0 0.0
44..15 0.001 2096.2 657.8 0.0635 0.0001 0.0013 0.2 0.9
42..45 0.002 2096.2 657.8 0.0635 0.0001 0.0019 0.2 1.2
45..20 0.007 2096.2 657.8 0.0635 0.0005 0.0076 1.0 5.0
45..29 0.013 2096.2 657.8 0.0635 0.0010 0.0153 2.0 10.1
37..3 0.000 2096.2 657.8 0.0635 0.0000 0.0000 0.0 0.0
36..13 0.001 2096.2 657.8 0.0635 0.0001 0.0013 0.2 0.9
36..2 0.002 2096.2 657.8 0.0635 0.0002 0.0027 0.4 1.8
36..25 0.000 2096.2 657.8 0.0635 0.0000 0.0000 0.0 0.0
35..22 0.000 2096.2 657.8 0.0635 0.0000 0.0000 0.0 0.0
34..21 0.000 2096.2 657.8 0.0635 0.0000 0.0000 0.0 0.0
34..26 0.000 2096.2 657.8 0.0635 0.0000 0.0000 0.0 0.0
34..46 0.006 2096.2 657.8 0.0635 0.0004 0.0067 0.9 4.4
46..4 0.007 2096.2 657.8 0.0635 0.0005 0.0080 1.1 5.3
46..47 0.003 2096.2 657.8 0.0635 0.0002 0.0039 0.5 2.6
47..6 0.019 2096.2 657.8 0.0635 0.0014 0.0216 2.9 14.2
47..48 0.007 2096.2 657.8 0.0635 0.0005 0.0081 1.1 5.3
48..5 0.008 2096.2 657.8 0.0635 0.0006 0.0094 1.2 6.2
48..23 0.007 2096.2 657.8 0.0635 0.0005 0.0081 1.1 5.3
47..9 0.011 2096.2 657.8 0.0635 0.0008 0.0122 1.6 8.0
34..1 0.000 2096.2 657.8 0.0635 0.0000 0.0000 0.0 0.0
34..24 0.000 2096.2 657.8 0.0635 0.0000 0.0000 0.0 0.0
33..19 0.000 2096.2 657.8 0.0635 0.0000 0.0000 0.0 0.0
32..14 0.000 2096.2 657.8 0.0635 0.0000 0.0000 0.0 0.0
Time used: 44:33
Model 8: beta&w>1 (11 categories)
TREE # 1: (12, 16, ((((((((((11, 17, 18, 27, 8), 30), 28), ((7, (10, 15)), (20, 29))), 3), 13, 2, 25), 22), 21, 26, (4, (6, (5, 23), 9)), 1, 24), 19), 14)); MP score: 167
check convergence..
lnL(ntime: 47 np: 52): -4770.161979 +0.000000
31..12 31..16 31..32 32..33 33..34 34..35 35..36 36..37 37..38 38..39 39..40 40..41 41..11 41..17 41..18 41..27 41..8 40..30 39..28 38..42 42..43 43..7 43..44 44..10 44..15 42..45 45..20 45..29 37..3 36..13 36..2 36..25 35..22 34..21 34..26 34..46 46..4 46..47 47..6 47..48 48..5 48..23 47..9 34..1 34..24 33..19 32..14
0.001128 0.002260 0.001123 0.001125 0.000004 0.001127 0.009248 0.001122 0.007847 0.005315 0.004791 0.003284 0.000004 0.000004 0.000004 0.000004 0.001147 0.010803 0.007183 0.001583 0.006108 0.013618 0.030862 0.000004 0.001151 0.001747 0.006636 0.013324 0.000004 0.001121 0.002245 0.000004 0.000004 0.000004 0.000004 0.006502 0.007938 0.002671 0.018853 0.007035 0.008073 0.006950 0.010598 0.000004 0.000004 0.000004 0.000004 3.893511 0.997590 0.010536 0.193437 14.172530
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.204578
(12: 0.001128, 16: 0.002260, ((((((((((11: 0.000004, 17: 0.000004, 18: 0.000004, 27: 0.000004, 8: 0.001147): 0.003284, 30: 0.010803): 0.004791, 28: 0.007183): 0.005315, ((7: 0.013618, (10: 0.000004, 15: 0.001151): 0.030862): 0.006108, (20: 0.006636, 29: 0.013324): 0.001747): 0.001583): 0.007847, 3: 0.000004): 0.001122, 13: 0.001121, 2: 0.002245, 25: 0.000004): 0.009248, 22: 0.000004): 0.001127, 21: 0.000004, 26: 0.000004, (4: 0.007938, (6: 0.018853, (5: 0.008073, 23: 0.006950): 0.007035, 9: 0.010598): 0.002671): 0.006502, 1: 0.000004, 24: 0.000004): 0.000004, 19: 0.000004): 0.001125, 14: 0.000004): 0.001123);
(C521: 0.001128, C533: 0.002260, ((((((((((C322: 0.000004, C317: 0.000004, C328: 0.000004, C334: 0.000004, C316: 0.001147): 0.003284, C82: 0.010803): 0.004791, C270: 0.007183): 0.005315, ((C107: 0.013618, (C144: 0.000004, C136: 0.001151): 0.030862): 0.006108, (C135: 0.006636, C391: 0.013324): 0.001747): 0.001583): 0.007847, C112: 0.000004): 0.001122, C64: 0.001121, C181: 0.002245, C209: 0.000004): 0.009248, C275: 0.000004): 0.001127, C407: 0.000004, C449: 0.000004, (C61: 0.007938, (C58: 0.018853, (C290: 0.008073, C425: 0.006950): 0.007035, C565: 0.010598): 0.002671): 0.006502, C255: 0.000004, C400: 0.000004): 0.000004, C526: 0.000004): 0.001125, C398: 0.000004): 0.001123);
Detailed output identifying parameters
kappa (ts/tv) = 3.89351
Parameters in M8 (beta&w>1):
p0 = 0.99759 p = 0.01054 q = 0.19344
(p1 = 0.00241) w = 14.17253
MLEs of dN/dS (w) for site classes (K=11)
p: 0.09976 0.09976 0.09976 0.09976 0.09976 0.09976 0.09976 0.09976 0.09976 0.09976 0.00241
w: 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00002 0.51373 14.17253
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.001 2081.8 672.2 0.0854 0.0001 0.0012 0.2 0.8
31..16 0.002 2081.8 672.2 0.0854 0.0002 0.0024 0.4 1.6
31..32 0.001 2081.8 672.2 0.0854 0.0001 0.0012 0.2 0.8
32..33 0.001 2081.8 672.2 0.0854 0.0001 0.0012 0.2 0.8
33..34 0.000 2081.8 672.2 0.0854 0.0000 0.0000 0.0 0.0
34..35 0.001 2081.8 672.2 0.0854 0.0001 0.0012 0.2 0.8
35..36 0.009 2081.8 672.2 0.0854 0.0009 0.0100 1.8 6.7
36..37 0.001 2081.8 672.2 0.0854 0.0001 0.0012 0.2 0.8
37..38 0.008 2081.8 672.2 0.0854 0.0007 0.0085 1.5 5.7
38..39 0.005 2081.8 672.2 0.0854 0.0005 0.0057 1.0 3.9
39..40 0.005 2081.8 672.2 0.0854 0.0004 0.0052 0.9 3.5
40..41 0.003 2081.8 672.2 0.0854 0.0003 0.0035 0.6 2.4
41..11 0.000 2081.8 672.2 0.0854 0.0000 0.0000 0.0 0.0
41..17 0.000 2081.8 672.2 0.0854 0.0000 0.0000 0.0 0.0
41..18 0.000 2081.8 672.2 0.0854 0.0000 0.0000 0.0 0.0
41..27 0.000 2081.8 672.2 0.0854 0.0000 0.0000 0.0 0.0
41..8 0.001 2081.8 672.2 0.0854 0.0001 0.0012 0.2 0.8
40..30 0.011 2081.8 672.2 0.0854 0.0010 0.0117 2.1 7.8
39..28 0.007 2081.8 672.2 0.0854 0.0007 0.0078 1.4 5.2
38..42 0.002 2081.8 672.2 0.0854 0.0001 0.0017 0.3 1.1
42..43 0.006 2081.8 672.2 0.0854 0.0006 0.0066 1.2 4.4
43..7 0.014 2081.8 672.2 0.0854 0.0013 0.0147 2.6 9.9
43..44 0.031 2081.8 672.2 0.0854 0.0028 0.0333 5.9 22.4
44..10 0.000 2081.8 672.2 0.0854 0.0000 0.0000 0.0 0.0
44..15 0.001 2081.8 672.2 0.0854 0.0001 0.0012 0.2 0.8
42..45 0.002 2081.8 672.2 0.0854 0.0002 0.0019 0.3 1.3
45..20 0.007 2081.8 672.2 0.0854 0.0006 0.0072 1.3 4.8
45..29 0.013 2081.8 672.2 0.0854 0.0012 0.0144 2.6 9.7
37..3 0.000 2081.8 672.2 0.0854 0.0000 0.0000 0.0 0.0
36..13 0.001 2081.8 672.2 0.0854 0.0001 0.0012 0.2 0.8
36..2 0.002 2081.8 672.2 0.0854 0.0002 0.0024 0.4 1.6
36..25 0.000 2081.8 672.2 0.0854 0.0000 0.0000 0.0 0.0
35..22 0.000 2081.8 672.2 0.0854 0.0000 0.0000 0.0 0.0
34..21 0.000 2081.8 672.2 0.0854 0.0000 0.0000 0.0 0.0
34..26 0.000 2081.8 672.2 0.0854 0.0000 0.0000 0.0 0.0
34..46 0.007 2081.8 672.2 0.0854 0.0006 0.0070 1.2 4.7
46..4 0.008 2081.8 672.2 0.0854 0.0007 0.0086 1.5 5.8
46..47 0.003 2081.8 672.2 0.0854 0.0002 0.0029 0.5 1.9
47..6 0.019 2081.8 672.2 0.0854 0.0017 0.0204 3.6 13.7
47..48 0.007 2081.8 672.2 0.0854 0.0006 0.0076 1.4 5.1
48..5 0.008 2081.8 672.2 0.0854 0.0007 0.0087 1.6 5.9
48..23 0.007 2081.8 672.2 0.0854 0.0006 0.0075 1.3 5.0
47..9 0.011 2081.8 672.2 0.0854 0.0010 0.0114 2.0 7.7
34..1 0.000 2081.8 672.2 0.0854 0.0000 0.0000 0.0 0.0
34..24 0.000 2081.8 672.2 0.0854 0.0000 0.0000 0.0 0.0
33..19 0.000 2081.8 672.2 0.0854 0.0000 0.0000 0.0 0.0
32..14 0.000 2081.8 672.2 0.0854 0.0000 0.0000 0.0 0.0
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C255)
Pr(w>1) post mean +- SE for w
4 M 0.920 13.085
881 L 1.000** 14.172
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C255)
Pr(w>1) post mean +- SE for w
4 M 0.964* 1.551 +- 0.345
6 Y 0.797 1.362 +- 0.544
88 T 0.736 1.286 +- 0.583
881 L 0.943 1.509 +- 0.437
The grid
p0: 0.050 0.150 0.250 0.350 0.450 0.550 0.650 0.750 0.850 0.950
p : 0.100 0.300 0.500 0.700 0.900 1.100 1.300 1.500 1.700 1.900
q : 0.100 0.300 0.500 0.700 0.900 1.100 1.300 1.500 1.700 1.900
ws: 1.500 2.500 3.500 4.500 5.500 6.500 7.500 8.500 9.500 10.500
Posterior on the grid
p0: 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 1.000
p : 1.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
q : 0.000 0.000 0.000 0.000 0.000 0.000 0.005 0.043 0.211 0.741
ws: 0.926 0.068 0.005 0.001 0.000 0.000 0.000 0.000 0.000 0.000
Time used: 1:24:08
Model 1: NearlyNeutral -4778.011112
Model 2: PositiveSelection -4769.718565
Model 7: beta -4779.883312
Model 8: beta&w>1 -4770.161979
Model 2 vs 1 16.585094
Additional information for M1 vs M2:
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C255)
Pr(w>1) post mean +- SE for w
881 L 1.000** 28.475
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C255)
Pr(w>1) post mean +- SE for w
4 M 0.882 2.320 +- 1.215
6 Y 0.713 2.060 +- 1.253
88 T 0.617 1.827 +- 1.139
881 L 0.914 2.333 +- 1.242
Model 8 vs 7 19.442666
Additional information for M7 vs M8:
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C255)
Pr(w>1) post mean +- SE for w
4 M 0.920 13.085
881 L 1.000** 14.172
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C255)
Pr(w>1) post mean +- SE for w
4 M 0.964* 1.551 +- 0.345
6 Y 0.797 1.362 +- 0.544
88 T 0.736 1.286 +- 0.583
881 L 0.943 1.509 +- 0.437
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
