--- 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 -3128.96 -3167.74
2 -3128.43 -3159.15
--------------------------------------
TOTAL -3128.66 -3167.05
--------------------------------------
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} 0.194232 0.000458 0.153590 0.236824 0.193074 1076.63 1213.86 1.000
r(A<->C){all} 0.047162 0.000186 0.021344 0.072730 0.045939 763.20 857.85 1.000
r(A<->G){all} 0.146633 0.000639 0.099209 0.197053 0.145050 758.01 828.74 1.000
r(A<->T){all} 0.077373 0.000334 0.043865 0.113634 0.075944 782.18 916.80 1.001
r(C<->G){all} 0.029944 0.000160 0.007219 0.053781 0.028403 992.70 1048.52 1.000
r(C<->T){all} 0.597038 0.001606 0.517405 0.676419 0.597680 659.29 750.97 1.000
r(G<->T){all} 0.101850 0.000531 0.060140 0.148827 0.100022 765.70 775.09 1.000
pi(A){all} 0.305734 0.000153 0.279767 0.328475 0.305828 1086.27 1099.56 1.001
pi(C){all} 0.222289 0.000117 0.201826 0.243749 0.222226 953.74 1138.58 1.000
pi(G){all} 0.243854 0.000128 0.222748 0.266676 0.243682 1036.89 1115.54 1.001
pi(T){all} 0.228123 0.000119 0.206699 0.249088 0.227792 1035.43 1124.55 1.000
alpha{1,2} 0.278467 0.031983 0.000558 0.576343 0.247144 951.27 1020.75 1.000
alpha{3} 1.863788 1.327176 0.260714 4.135444 1.626134 795.58 864.59 1.000
pinvar{all} 0.546999 0.011140 0.316082 0.705359 0.569373 588.62 697.00 1.002
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
--- CODEML SUMMARY
Model 1: NearlyNeutral -3031.083384
Model 2: PositiveSelection -3027.632754
Model 7: beta -3031.689001
Model 8: beta&w>1 -3027.100963
Model 2 vs 1 6.901260
Additional information for M1 vs M2:
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C260)
Pr(w>1) post mean +- SE for w
408 V 0.584 4.958
412 V 0.989* 7.711
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: C260)
Pr(w>1) post mean +- SE for w
182 Q 0.595 1.665 +- 0.930
216 V 0.755 1.955 +- 1.043
379 A 0.592 1.658 +- 0.928
408 V 0.781 2.003 +- 1.065
412 V 0.903 2.138 +- 1.055
Model 8 vs 7 9.176076
Additional information for M7 vs M8:
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C260)
Pr(w>1) post mean +- SE for w
216 V 0.601 4.367
408 V 0.805 5.679
412 V 0.999** 6.916
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: C260)
Pr(w>1) post mean +- SE for w
182 Q 0.702 1.437 +- 0.771
216 V 0.867 1.669 +- 0.672
262 K 0.582 1.244 +- 0.772
354 K 0.563 1.213 +- 0.769
379 A 0.699 1.432 +- 0.772
400 E 0.507 1.123 +- 0.755
408 V 0.898 1.708 +- 0.638
412 V 0.977* 1.789 +- 0.564
-- Starting log on Thu Nov 17 16:36:47 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/LZW_N_AIJ01345_1_2012_02_China_Unknown_PEDV.result--
-- Starting log on Thu Nov 17 16:41:06 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/LZW_N_AIJ01345_1_2012_02_China_Unknown_PEDV.result--
-- Starting log on Thu Nov 17 23:49:10 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/LZW_N_AIJ01345_1_2012_02_China_Unknown_PEDV.result/gapped_alignment/codeml,LZW_N_AIJ01345_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 1323 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C65
Taxon 2 -> C367
Taxon 3 -> C199
Taxon 4 -> C184
Taxon 5 -> C480
Taxon 6 -> C245
Taxon 7 -> C196
Taxon 8 -> C334
Taxon 9 -> C191
Taxon 10 -> C58
Taxon 11 -> C521
Taxon 12 -> C337
Taxon 13 -> C60
Taxon 14 -> C260
Taxon 15 -> C272
Taxon 16 -> C11
Taxon 17 -> C149
Taxon 18 -> C111
Taxon 19 -> C210
Taxon 20 -> C314
Taxon 21 -> C292
Taxon 22 -> C552
Taxon 23 -> C322
Taxon 24 -> C7
Taxon 25 -> C385
Taxon 26 -> C129
Taxon 27 -> C136
Taxon 28 -> C537
Taxon 29 -> C391
Taxon 30 -> C142
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1668728953
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) = 17361735
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 = 0414271206
Seed = 90463660
Swapseed = 1668728953
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 28 unique site patterns
Division 3 has 83 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 -- -5071.795622 -- 82.122948
Chain 2 -- -5103.271819 -- 82.122948
Chain 3 -- -5105.873401 -- 82.122948
Chain 4 -- -5060.036363 -- 82.122948
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -5165.700910 -- 82.122948
Chain 2 -- -5050.097979 -- 82.122948
Chain 3 -- -4986.413189 -- 82.122948
Chain 4 -- -5051.076440 -- 82.122948
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-5071.796] (-5103.272) (-5105.873) (-5060.036) * [-5165.701] (-5050.098) (-4986.413) (-5051.076)
1000 -- (-3334.464) [-3230.093] (-3266.326) (-3352.503) * (-3339.475) (-3251.779) (-3367.334) [-3263.271] -- 0:16:39
2000 -- (-3229.266) [-3182.610] (-3196.471) (-3233.599) * (-3273.427) (-3201.804) (-3225.239) [-3192.109] -- 0:16:38
3000 -- (-3193.053) [-3174.066] (-3175.565) (-3163.437) * (-3200.896) (-3174.528) [-3159.504] (-3176.926) -- 0:16:37
4000 -- (-3148.440) (-3166.526) (-3180.844) [-3154.530] * (-3196.925) [-3154.584] (-3155.436) (-3177.727) -- 0:16:36
5000 -- [-3137.915] (-3159.147) (-3161.909) (-3156.450) * (-3165.283) [-3146.524] (-3142.540) (-3178.920) -- 0:16:35
Average standard deviation of split frequencies: 0.084153
6000 -- [-3150.429] (-3167.186) (-3158.357) (-3142.432) * (-3167.633) (-3152.258) [-3138.861] (-3165.832) -- 0:16:34
7000 -- (-3141.853) (-3154.732) (-3139.583) [-3155.379] * [-3139.105] (-3158.423) (-3149.085) (-3175.671) -- 0:16:33
8000 -- (-3132.675) (-3175.985) (-3147.710) [-3150.723] * (-3145.682) (-3147.077) [-3139.766] (-3161.756) -- 0:16:32
9000 -- (-3150.039) [-3141.604] (-3139.140) (-3150.019) * (-3154.949) [-3133.530] (-3147.651) (-3173.264) -- 0:16:31
10000 -- (-3147.495) [-3136.213] (-3153.489) (-3145.839) * [-3141.656] (-3146.028) (-3163.280) (-3160.665) -- 0:16:30
Average standard deviation of split frequencies: 0.082164
11000 -- (-3153.890) (-3148.133) [-3148.702] (-3143.557) * [-3142.777] (-3145.766) (-3166.486) (-3151.390) -- 0:16:29
12000 -- [-3135.218] (-3161.618) (-3143.768) (-3157.243) * (-3153.739) (-3147.788) (-3143.417) [-3130.112] -- 0:16:28
13000 -- (-3146.404) (-3163.505) (-3142.123) [-3134.225] * (-3178.495) [-3144.864] (-3138.080) (-3145.260) -- 0:16:27
14000 -- (-3152.277) (-3146.676) (-3151.627) [-3143.114] * (-3164.519) (-3153.412) [-3152.754] (-3148.934) -- 0:16:26
15000 -- (-3157.518) [-3140.932] (-3144.121) (-3168.288) * (-3155.179) (-3143.454) (-3158.705) [-3142.921] -- 0:16:25
Average standard deviation of split frequencies: 0.079659
16000 -- (-3164.879) (-3142.971) (-3158.051) [-3143.826] * [-3151.149] (-3160.483) (-3149.079) (-3158.146) -- 0:16:24
17000 -- (-3148.371) (-3156.379) (-3153.837) [-3149.029] * (-3151.127) (-3159.297) (-3153.840) [-3134.650] -- 0:17:20
18000 -- (-3159.637) (-3155.763) (-3154.359) [-3149.922] * (-3164.786) [-3146.048] (-3140.506) (-3141.387) -- 0:16:22
19000 -- [-3148.006] (-3160.157) (-3152.029) (-3138.204) * (-3152.629) (-3150.416) (-3166.463) [-3137.076] -- 0:16:21
20000 -- (-3148.018) [-3153.150] (-3170.107) (-3141.244) * (-3153.757) (-3148.668) (-3168.423) [-3136.140] -- 0:16:20
Average standard deviation of split frequencies: 0.072774
21000 -- [-3131.096] (-3146.659) (-3174.757) (-3147.664) * [-3144.201] (-3147.646) (-3169.709) (-3148.564) -- 0:16:19
22000 -- (-3141.346) (-3160.921) (-3160.428) [-3133.479] * (-3144.892) (-3151.463) [-3141.826] (-3153.505) -- 0:16:18
23000 -- (-3139.614) (-3147.074) [-3135.305] (-3138.816) * (-3152.497) (-3148.907) [-3133.641] (-3164.235) -- 0:16:17
24000 -- (-3170.593) (-3134.133) [-3136.142] (-3152.795) * (-3145.057) [-3134.880] (-3119.946) (-3154.502) -- 0:16:16
25000 -- (-3167.205) [-3131.794] (-3147.180) (-3141.480) * (-3146.804) (-3141.680) [-3132.235] (-3149.992) -- 0:16:15
Average standard deviation of split frequencies: 0.064184
26000 -- (-3160.837) [-3136.486] (-3139.344) (-3163.981) * (-3155.368) (-3147.599) (-3136.999) [-3142.091] -- 0:16:14
27000 -- (-3168.901) [-3131.015] (-3155.168) (-3174.839) * [-3140.230] (-3151.281) (-3156.511) (-3154.040) -- 0:16:13
28000 -- (-3150.329) (-3150.496) [-3142.525] (-3173.383) * [-3147.464] (-3146.886) (-3157.000) (-3165.970) -- 0:16:12
29000 -- (-3155.244) [-3144.377] (-3145.166) (-3165.648) * (-3150.110) [-3134.119] (-3150.283) (-3140.590) -- 0:16:11
30000 -- [-3151.462] (-3144.532) (-3144.197) (-3166.325) * (-3149.998) (-3135.944) (-3151.284) [-3138.897] -- 0:16:10
Average standard deviation of split frequencies: 0.053289
31000 -- (-3151.036) [-3143.972] (-3144.449) (-3148.286) * (-3160.080) (-3145.908) (-3152.052) [-3145.284] -- 0:16:09
32000 -- (-3149.446) (-3149.048) (-3159.018) [-3148.965] * (-3149.783) (-3146.429) (-3152.720) [-3144.428] -- 0:16:08
33000 -- [-3137.841] (-3154.585) (-3168.889) (-3154.803) * (-3142.689) (-3148.102) (-3154.789) [-3132.639] -- 0:16:07
34000 -- [-3133.550] (-3145.081) (-3161.184) (-3162.098) * (-3154.581) [-3141.305] (-3140.577) (-3155.852) -- 0:16:06
35000 -- [-3130.817] (-3147.737) (-3149.696) (-3154.671) * [-3132.917] (-3134.111) (-3146.941) (-3160.590) -- 0:16:05
Average standard deviation of split frequencies: 0.053866
36000 -- (-3143.082) (-3174.498) (-3141.522) [-3143.472] * (-3153.185) [-3144.808] (-3178.339) (-3155.203) -- 0:16:04
37000 -- (-3139.451) (-3153.428) [-3146.503] (-3153.747) * (-3150.173) [-3149.109] (-3167.161) (-3152.102) -- 0:16:03
38000 -- (-3141.895) (-3156.602) [-3144.395] (-3154.209) * (-3166.265) [-3143.899] (-3167.092) (-3155.729) -- 0:16:02
39000 -- [-3147.464] (-3145.093) (-3173.026) (-3144.076) * (-3154.581) (-3144.105) (-3145.774) [-3145.645] -- 0:16:01
40000 -- [-3125.890] (-3155.626) (-3149.851) (-3143.058) * (-3156.693) (-3152.607) [-3141.752] (-3151.177) -- 0:16:00
Average standard deviation of split frequencies: 0.059373
41000 -- (-3144.911) [-3141.998] (-3161.997) (-3173.377) * (-3150.466) [-3145.931] (-3144.907) (-3140.200) -- 0:15:59
42000 -- [-3131.595] (-3147.183) (-3152.757) (-3164.702) * (-3153.450) [-3143.293] (-3155.669) (-3148.729) -- 0:15:58
43000 -- (-3154.379) [-3131.245] (-3164.927) (-3152.756) * [-3143.118] (-3151.014) (-3153.947) (-3133.756) -- 0:15:57
44000 -- (-3148.112) [-3138.053] (-3181.884) (-3166.658) * [-3145.689] (-3153.013) (-3159.436) (-3167.825) -- 0:15:56
45000 -- (-3147.648) (-3141.922) (-3171.188) [-3151.058] * (-3149.454) (-3142.630) (-3156.018) [-3133.547] -- 0:15:55
Average standard deviation of split frequencies: 0.049095
46000 -- [-3153.667] (-3148.297) (-3150.034) (-3152.860) * (-3153.644) (-3151.125) [-3149.555] (-3141.642) -- 0:15:54
47000 -- (-3149.694) [-3134.494] (-3162.451) (-3165.976) * (-3148.115) (-3153.033) [-3154.715] (-3147.217) -- 0:15:53
48000 -- (-3143.898) (-3136.904) (-3154.084) [-3134.898] * (-3159.308) (-3160.643) [-3148.250] (-3148.554) -- 0:15:52
49000 -- (-3140.822) [-3136.986] (-3153.130) (-3161.014) * (-3151.511) (-3149.335) (-3144.862) [-3144.624] -- 0:15:51
50000 -- [-3152.092] (-3137.664) (-3148.305) (-3154.539) * [-3154.830] (-3140.980) (-3159.716) (-3147.778) -- 0:15:50
Average standard deviation of split frequencies: 0.053387
51000 -- (-3138.311) (-3164.798) [-3146.212] (-3152.855) * (-3153.168) (-3142.125) (-3138.284) [-3140.619] -- 0:15:49
52000 -- [-3137.664] (-3148.877) (-3148.239) (-3164.679) * (-3147.476) [-3144.109] (-3157.252) (-3159.693) -- 0:15:48
53000 -- (-3168.394) (-3140.222) [-3147.499] (-3139.948) * (-3137.755) (-3153.223) (-3158.641) [-3137.842] -- 0:15:47
54000 -- (-3168.135) [-3138.745] (-3162.713) (-3137.870) * (-3150.596) (-3155.951) [-3141.929] (-3140.220) -- 0:15:46
55000 -- (-3170.841) (-3154.859) (-3148.929) [-3134.300] * (-3139.562) [-3135.330] (-3143.905) (-3141.235) -- 0:15:45
Average standard deviation of split frequencies: 0.048704
56000 -- (-3159.335) [-3156.009] (-3147.362) (-3151.615) * (-3156.671) [-3146.635] (-3145.731) (-3160.895) -- 0:15:44
57000 -- (-3146.239) (-3160.321) [-3147.727] (-3150.055) * (-3151.643) (-3159.224) [-3154.555] (-3153.198) -- 0:15:43
58000 -- (-3154.304) (-3168.841) [-3145.639] (-3149.886) * (-3136.536) [-3139.354] (-3153.501) (-3139.096) -- 0:15:42
59000 -- (-3154.874) [-3135.099] (-3153.507) (-3156.144) * (-3138.068) [-3145.031] (-3153.337) (-3146.984) -- 0:15:41
60000 -- [-3149.875] (-3146.077) (-3158.137) (-3154.332) * (-3143.890) [-3142.096] (-3151.163) (-3140.232) -- 0:15:40
Average standard deviation of split frequencies: 0.044538
61000 -- (-3149.349) [-3133.802] (-3150.029) (-3158.001) * (-3139.045) [-3139.066] (-3171.601) (-3152.637) -- 0:15:39
62000 -- (-3141.097) (-3151.376) [-3146.073] (-3151.717) * [-3146.557] (-3156.236) (-3142.313) (-3144.439) -- 0:15:38
63000 -- [-3147.025] (-3143.737) (-3153.942) (-3145.665) * (-3151.913) (-3151.479) [-3137.092] (-3141.112) -- 0:15:37
64000 -- (-3146.118) [-3141.981] (-3152.424) (-3139.164) * (-3163.338) [-3155.759] (-3153.867) (-3150.308) -- 0:15:36
65000 -- [-3132.253] (-3140.536) (-3141.015) (-3153.562) * (-3154.506) (-3165.640) (-3161.254) [-3140.843] -- 0:15:35
Average standard deviation of split frequencies: 0.041154
66000 -- (-3150.054) (-3148.683) (-3139.130) [-3149.091] * (-3145.908) (-3157.750) (-3155.291) [-3139.447] -- 0:15:34
67000 -- (-3166.423) (-3137.305) (-3165.808) [-3128.932] * (-3143.419) (-3165.893) (-3150.157) [-3140.498] -- 0:15:33
68000 -- (-3153.587) [-3158.008] (-3164.981) (-3147.643) * [-3124.157] (-3183.987) (-3149.374) (-3141.922) -- 0:15:32
69000 -- (-3164.902) [-3136.781] (-3147.513) (-3135.549) * (-3147.047) (-3160.302) (-3154.711) [-3141.440] -- 0:15:31
70000 -- (-3154.272) (-3147.084) (-3161.018) [-3132.330] * [-3154.605] (-3152.660) (-3157.484) (-3137.270) -- 0:15:43
Average standard deviation of split frequencies: 0.038278
71000 -- (-3150.304) [-3133.148] (-3175.590) (-3150.806) * (-3165.088) (-3148.765) (-3164.125) [-3163.993] -- 0:15:42
72000 -- (-3150.026) [-3142.002] (-3158.472) (-3169.238) * (-3145.363) (-3135.759) [-3139.599] (-3176.954) -- 0:15:53
73000 -- (-3150.974) (-3166.006) [-3149.785] (-3151.218) * (-3151.368) [-3128.052] (-3158.428) (-3160.412) -- 0:16:05
74000 -- (-3159.433) [-3135.314] (-3149.883) (-3169.867) * (-3147.703) [-3146.547] (-3143.896) (-3163.862) -- 0:16:03
75000 -- (-3166.553) [-3137.542] (-3142.174) (-3155.787) * [-3139.963] (-3135.897) (-3156.932) (-3136.685) -- 0:16:14
Average standard deviation of split frequencies: 0.034194
76000 -- (-3150.995) [-3137.051] (-3149.278) (-3172.964) * [-3148.820] (-3152.473) (-3173.765) (-3140.586) -- 0:16:12
77000 -- (-3138.348) (-3147.932) [-3138.691] (-3154.007) * [-3155.816] (-3147.203) (-3157.578) (-3141.664) -- 0:16:22
78000 -- (-3136.906) (-3144.205) (-3146.142) [-3147.131] * (-3160.539) (-3147.468) [-3155.696] (-3135.943) -- 0:16:32
79000 -- (-3145.471) [-3146.243] (-3147.753) (-3159.443) * (-3157.275) (-3148.760) [-3135.816] (-3139.026) -- 0:16:30
80000 -- (-3147.916) (-3139.729) [-3148.152] (-3151.544) * (-3157.724) (-3158.389) (-3141.263) [-3142.600] -- 0:16:40
Average standard deviation of split frequencies: 0.034314
81000 -- (-3148.301) (-3143.313) [-3134.847] (-3147.041) * (-3149.111) (-3158.400) (-3131.722) [-3131.933] -- 0:16:38
82000 -- (-3160.132) (-3151.777) (-3141.878) [-3129.721] * [-3143.320] (-3164.590) (-3154.254) (-3144.728) -- 0:16:47
83000 -- (-3152.390) [-3141.359] (-3145.959) (-3136.742) * (-3141.675) (-3145.682) [-3143.555] (-3142.756) -- 0:16:56
84000 -- (-3149.953) (-3140.365) (-3153.884) [-3137.969] * (-3135.816) (-3159.865) (-3149.473) [-3148.787] -- 0:16:54
85000 -- [-3150.547] (-3172.327) (-3136.801) (-3148.229) * (-3152.283) [-3140.711] (-3149.777) (-3146.020) -- 0:17:02
Average standard deviation of split frequencies: 0.032615
86000 -- (-3162.098) (-3168.373) (-3133.928) [-3134.138] * [-3142.379] (-3146.914) (-3150.059) (-3149.708) -- 0:17:00
87000 -- (-3153.694) (-3145.860) [-3135.195] (-3148.064) * (-3162.246) (-3141.582) [-3135.831] (-3161.524) -- 0:17:08
88000 -- (-3138.055) [-3130.158] (-3149.609) (-3167.036) * (-3174.809) (-3141.469) (-3143.202) [-3143.064] -- 0:17:06
89000 -- (-3155.300) (-3155.459) [-3136.206] (-3162.253) * (-3166.572) (-3155.704) [-3138.548] (-3163.867) -- 0:17:13
90000 -- [-3139.174] (-3142.907) (-3156.106) (-3155.685) * (-3163.356) (-3144.285) (-3143.738) [-3141.252] -- 0:17:21
Average standard deviation of split frequencies: 0.026397
91000 -- (-3148.512) (-3148.309) [-3134.945] (-3161.624) * (-3151.389) (-3149.430) [-3136.241] (-3164.223) -- 0:17:18
92000 -- (-3149.232) (-3147.352) [-3143.874] (-3150.490) * (-3144.920) [-3142.721] (-3157.931) (-3156.920) -- 0:17:26
93000 -- (-3142.921) (-3157.537) [-3153.574] (-3147.119) * (-3143.690) [-3144.527] (-3163.201) (-3156.692) -- 0:17:23
94000 -- [-3155.435] (-3157.738) (-3152.330) (-3146.269) * (-3154.922) (-3135.054) [-3158.006] (-3159.126) -- 0:17:30
95000 -- [-3142.152] (-3145.879) (-3144.017) (-3164.030) * (-3151.133) (-3147.898) [-3144.395] (-3149.251) -- 0:17:27
Average standard deviation of split frequencies: 0.022694
96000 -- [-3143.011] (-3139.944) (-3140.355) (-3137.875) * [-3146.118] (-3151.564) (-3132.830) (-3159.019) -- 0:17:34
97000 -- (-3153.786) (-3146.723) [-3136.883] (-3143.923) * (-3137.760) [-3128.962] (-3137.700) (-3160.588) -- 0:17:31
98000 -- (-3148.522) (-3159.196) [-3136.125] (-3155.850) * (-3141.837) [-3134.236] (-3137.524) (-3156.417) -- 0:17:38
99000 -- (-3139.233) (-3147.612) [-3142.299] (-3154.729) * (-3167.900) [-3141.194] (-3152.625) (-3163.529) -- 0:17:44
100000 -- [-3147.116] (-3158.192) (-3139.841) (-3147.830) * (-3136.585) (-3143.403) (-3153.911) [-3155.092] -- 0:17:42
Average standard deviation of split frequencies: 0.022275
101000 -- (-3141.009) (-3146.409) (-3145.942) [-3143.414] * (-3140.204) (-3159.753) (-3148.463) [-3142.606] -- 0:17:48
102000 -- (-3149.677) (-3139.263) (-3162.358) [-3145.057] * (-3155.483) (-3143.871) [-3138.017] (-3138.567) -- 0:17:45
103000 -- (-3161.418) (-3154.339) [-3141.017] (-3143.161) * [-3151.711] (-3159.399) (-3142.690) (-3150.526) -- 0:17:51
104000 -- (-3171.764) [-3154.147] (-3149.009) (-3147.898) * (-3156.466) (-3185.834) (-3148.656) [-3140.130] -- 0:17:48
105000 -- (-3148.912) (-3177.571) [-3134.231] (-3147.051) * (-3152.317) (-3162.915) [-3139.824] (-3139.570) -- 0:17:54
Average standard deviation of split frequencies: 0.021885
106000 -- [-3135.377] (-3169.831) (-3143.472) (-3145.277) * [-3152.829] (-3165.502) (-3149.983) (-3155.125) -- 0:17:59
107000 -- [-3139.702] (-3165.941) (-3140.076) (-3147.774) * (-3134.491) (-3167.310) (-3150.271) [-3143.723] -- 0:17:56
108000 -- [-3142.502] (-3155.507) (-3145.949) (-3148.200) * [-3150.691] (-3165.689) (-3147.404) (-3158.266) -- 0:18:01
109000 -- (-3151.286) (-3156.554) (-3145.250) [-3135.441] * (-3145.035) (-3176.610) [-3155.357] (-3146.068) -- 0:18:07
110000 -- (-3157.484) (-3144.050) [-3140.658] (-3158.341) * (-3144.099) (-3171.192) [-3144.367] (-3155.149) -- 0:18:04
Average standard deviation of split frequencies: 0.020738
111000 -- (-3168.683) [-3140.615] (-3144.301) (-3150.957) * [-3128.721] (-3159.536) (-3141.661) (-3159.769) -- 0:18:09
112000 -- [-3133.744] (-3166.839) (-3149.030) (-3143.713) * (-3136.554) (-3164.805) (-3150.265) [-3138.671] -- 0:18:06
113000 -- (-3138.957) (-3142.858) [-3142.901] (-3147.806) * (-3145.782) (-3167.764) (-3151.291) [-3146.315] -- 0:18:11
114000 -- (-3149.774) (-3154.724) (-3142.213) [-3140.240] * (-3173.001) (-3155.422) [-3144.849] (-3146.119) -- 0:18:15
115000 -- (-3153.101) [-3145.748] (-3153.376) (-3150.168) * (-3161.068) [-3147.735] (-3159.475) (-3141.420) -- 0:18:12
Average standard deviation of split frequencies: 0.020854
116000 -- (-3155.340) (-3152.876) [-3142.031] (-3147.585) * (-3153.018) (-3147.270) [-3140.806] (-3143.697) -- 0:18:17
117000 -- (-3165.371) [-3144.843] (-3138.321) (-3146.113) * (-3152.500) (-3138.337) [-3146.104] (-3155.732) -- 0:18:14
118000 -- (-3167.292) (-3162.862) (-3149.546) [-3143.816] * (-3152.867) [-3129.599] (-3148.825) (-3137.118) -- 0:18:18
119000 -- (-3165.637) (-3132.347) [-3142.628] (-3150.958) * (-3145.317) [-3140.324] (-3137.728) (-3146.827) -- 0:18:23
120000 -- (-3149.465) (-3137.228) [-3143.505] (-3142.130) * [-3139.697] (-3160.164) (-3149.944) (-3142.810) -- 0:18:20
Average standard deviation of split frequencies: 0.020253
121000 -- (-3146.233) [-3138.728] (-3141.105) (-3167.885) * (-3163.211) (-3149.652) [-3139.538] (-3148.804) -- 0:18:24
122000 -- [-3135.875] (-3149.323) (-3164.074) (-3142.629) * [-3156.430] (-3149.021) (-3144.221) (-3145.633) -- 0:18:21
123000 -- (-3140.295) (-3160.043) (-3148.585) [-3127.918] * [-3143.859] (-3148.825) (-3149.663) (-3143.445) -- 0:18:25
124000 -- [-3148.926] (-3137.955) (-3158.323) (-3136.404) * (-3148.396) [-3141.991] (-3152.107) (-3166.044) -- 0:18:29
125000 -- (-3158.219) [-3134.300] (-3150.232) (-3154.522) * (-3145.007) [-3152.845] (-3153.511) (-3156.488) -- 0:18:26
Average standard deviation of split frequencies: 0.024220
126000 -- (-3147.843) [-3135.668] (-3148.033) (-3157.936) * (-3162.735) [-3143.850] (-3158.374) (-3145.007) -- 0:18:29
127000 -- (-3142.658) (-3142.792) [-3151.514] (-3156.981) * [-3149.646] (-3136.406) (-3144.360) (-3169.940) -- 0:18:26
128000 -- (-3151.838) [-3126.865] (-3161.642) (-3168.209) * (-3155.707) (-3160.508) (-3139.527) [-3133.318] -- 0:18:30
129000 -- [-3134.853] (-3159.483) (-3152.510) (-3154.902) * (-3146.754) (-3153.565) (-3148.219) [-3140.017] -- 0:18:34
130000 -- [-3148.125] (-3150.896) (-3145.105) (-3149.930) * (-3148.075) (-3147.333) [-3162.410] (-3143.769) -- 0:18:30
Average standard deviation of split frequencies: 0.027381
131000 -- (-3143.367) (-3151.253) [-3137.911] (-3151.900) * (-3151.136) [-3137.309] (-3144.464) (-3157.587) -- 0:18:27
132000 -- (-3142.911) (-3144.100) [-3152.453] (-3151.669) * [-3146.538] (-3137.905) (-3162.298) (-3142.333) -- 0:18:24
133000 -- (-3151.472) (-3149.218) [-3141.645] (-3151.967) * (-3154.618) (-3144.522) [-3147.418] (-3167.847) -- 0:18:21
134000 -- (-3143.472) (-3148.852) [-3146.611] (-3158.083) * (-3144.335) [-3137.139] (-3152.797) (-3159.646) -- 0:18:18
135000 -- [-3135.193] (-3153.430) (-3149.087) (-3150.404) * [-3138.470] (-3167.484) (-3144.892) (-3144.886) -- 0:18:15
Average standard deviation of split frequencies: 0.027463
136000 -- [-3126.502] (-3150.204) (-3144.980) (-3147.731) * (-3136.835) (-3160.977) (-3151.491) [-3147.906] -- 0:18:12
137000 -- (-3148.112) (-3146.846) [-3147.418] (-3150.358) * (-3158.618) (-3147.806) (-3148.634) [-3151.221] -- 0:18:09
138000 -- [-3156.903] (-3149.300) (-3148.950) (-3144.721) * [-3135.572] (-3159.774) (-3155.345) (-3155.891) -- 0:18:06
139000 -- (-3153.883) (-3155.925) (-3144.118) [-3140.761] * [-3133.428] (-3162.497) (-3169.046) (-3148.999) -- 0:18:03
140000 -- (-3172.943) [-3140.306] (-3151.195) (-3159.536) * [-3137.714] (-3142.555) (-3149.191) (-3160.132) -- 0:18:01
Average standard deviation of split frequencies: 0.027153
141000 -- (-3158.557) [-3142.189] (-3138.074) (-3157.667) * (-3142.343) (-3145.364) (-3160.417) [-3131.263] -- 0:17:58
142000 -- (-3155.417) (-3153.122) [-3137.969] (-3145.231) * (-3146.682) (-3145.243) (-3151.831) [-3142.506] -- 0:17:55
143000 -- (-3163.740) (-3153.977) (-3145.963) [-3144.050] * (-3163.049) [-3135.451] (-3139.185) (-3141.145) -- 0:17:52
144000 -- (-3165.499) (-3146.789) (-3151.926) [-3143.498] * (-3144.990) (-3159.323) [-3141.798] (-3153.217) -- 0:17:50
145000 -- (-3147.474) (-3145.152) (-3152.648) [-3142.859] * (-3147.911) (-3139.268) (-3147.377) [-3136.424] -- 0:17:47
Average standard deviation of split frequencies: 0.027238
146000 -- (-3144.287) (-3155.331) [-3138.807] (-3138.682) * (-3144.955) (-3157.499) (-3171.602) [-3150.389] -- 0:17:44
147000 -- [-3145.965] (-3162.015) (-3146.254) (-3157.360) * [-3150.138] (-3144.761) (-3156.571) (-3149.444) -- 0:17:41
148000 -- [-3147.337] (-3152.742) (-3192.368) (-3152.023) * (-3153.917) (-3142.536) [-3151.389] (-3153.410) -- 0:17:39
149000 -- (-3134.599) [-3144.170] (-3166.077) (-3171.934) * (-3162.918) (-3148.998) [-3132.954] (-3157.407) -- 0:17:36
150000 -- [-3131.346] (-3143.494) (-3157.115) (-3163.011) * [-3142.293] (-3141.765) (-3147.242) (-3169.390) -- 0:17:34
Average standard deviation of split frequencies: 0.025277
151000 -- (-3151.166) [-3145.325] (-3151.475) (-3152.690) * (-3141.580) (-3154.988) [-3141.345] (-3145.235) -- 0:17:31
152000 -- (-3144.137) [-3134.983] (-3139.177) (-3165.168) * (-3150.994) (-3140.127) [-3140.779] (-3147.372) -- 0:17:28
153000 -- (-3154.904) (-3148.994) (-3157.991) [-3144.431] * (-3169.998) (-3160.816) (-3152.339) [-3140.705] -- 0:17:26
154000 -- (-3147.372) (-3139.893) (-3152.047) [-3133.323] * [-3151.146] (-3171.325) (-3150.783) (-3144.418) -- 0:17:23
155000 -- (-3157.995) [-3145.703] (-3144.534) (-3143.505) * [-3148.119] (-3167.316) (-3154.237) (-3149.255) -- 0:17:21
Average standard deviation of split frequencies: 0.024991
156000 -- (-3150.163) (-3158.187) (-3142.638) [-3137.206] * [-3137.064] (-3162.191) (-3144.314) (-3156.558) -- 0:17:18
157000 -- (-3140.077) (-3149.630) (-3157.893) [-3136.804] * (-3137.651) (-3160.212) [-3146.649] (-3150.473) -- 0:17:16
158000 -- (-3165.556) (-3161.627) (-3140.854) [-3144.726] * [-3137.828] (-3168.768) (-3146.167) (-3162.873) -- 0:17:13
159000 -- (-3168.424) [-3152.334] (-3151.591) (-3158.744) * (-3153.749) [-3137.584] (-3146.607) (-3162.830) -- 0:17:11
160000 -- [-3143.003] (-3147.772) (-3142.143) (-3158.245) * (-3163.260) [-3131.523] (-3173.315) (-3140.447) -- 0:17:09
Average standard deviation of split frequencies: 0.024399
161000 -- (-3150.681) [-3140.314] (-3149.834) (-3159.246) * (-3140.097) [-3135.829] (-3179.614) (-3162.103) -- 0:17:06
162000 -- [-3144.418] (-3141.684) (-3146.943) (-3160.342) * (-3133.650) [-3141.842] (-3162.000) (-3153.861) -- 0:17:04
163000 -- [-3147.319] (-3134.751) (-3163.932) (-3156.037) * (-3146.321) [-3132.942] (-3159.250) (-3129.225) -- 0:16:56
164000 -- (-3169.131) (-3143.956) (-3145.119) [-3144.208] * [-3137.335] (-3158.487) (-3147.164) (-3154.766) -- 0:16:54
165000 -- (-3160.505) (-3163.884) (-3145.790) [-3144.310] * (-3139.994) [-3145.196] (-3154.744) (-3148.127) -- 0:16:52
Average standard deviation of split frequencies: 0.025259
166000 -- [-3134.691] (-3146.736) (-3149.886) (-3156.293) * [-3139.544] (-3139.681) (-3140.372) (-3153.698) -- 0:16:49
167000 -- (-3146.408) (-3169.180) [-3135.421] (-3142.344) * (-3145.461) (-3148.797) (-3156.209) [-3145.334] -- 0:16:47
168000 -- (-3148.915) (-3146.820) [-3132.709] (-3142.884) * [-3144.640] (-3147.016) (-3143.724) (-3151.032) -- 0:16:45
169000 -- [-3149.320] (-3160.067) (-3142.555) (-3160.569) * (-3150.743) (-3154.678) (-3144.315) [-3157.560] -- 0:16:43
170000 -- (-3154.009) (-3149.001) [-3143.903] (-3151.463) * [-3127.618] (-3147.327) (-3166.391) (-3152.785) -- 0:16:40
Average standard deviation of split frequencies: 0.024278
171000 -- (-3178.336) (-3153.846) [-3161.570] (-3149.537) * (-3142.667) [-3147.059] (-3144.405) (-3151.837) -- 0:16:38
172000 -- (-3158.918) (-3146.676) [-3142.413] (-3146.904) * (-3150.052) (-3152.823) (-3129.037) [-3142.532] -- 0:16:36
173000 -- (-3161.682) (-3152.787) (-3146.107) [-3145.295] * (-3139.061) (-3172.268) [-3137.695] (-3154.605) -- 0:16:34
174000 -- [-3136.154] (-3153.403) (-3142.885) (-3147.034) * (-3144.676) (-3178.066) [-3151.509] (-3155.087) -- 0:16:32
175000 -- (-3147.523) (-3154.113) (-3149.486) [-3146.795] * (-3166.085) (-3159.474) (-3137.642) [-3138.535] -- 0:16:29
Average standard deviation of split frequencies: 0.027419
176000 -- [-3146.102] (-3171.847) (-3149.073) (-3147.282) * (-3150.336) (-3155.379) (-3134.677) [-3142.321] -- 0:16:27
177000 -- (-3136.070) (-3160.728) (-3162.792) [-3141.963] * (-3153.737) [-3141.853] (-3152.996) (-3150.521) -- 0:16:25
178000 -- (-3141.107) (-3147.502) (-3150.118) [-3146.459] * [-3140.544] (-3137.308) (-3137.755) (-3160.583) -- 0:16:23
179000 -- (-3133.292) (-3166.419) (-3155.969) [-3139.030] * (-3137.280) (-3154.299) [-3150.126] (-3150.996) -- 0:16:26
180000 -- (-3152.185) (-3157.270) (-3143.400) [-3139.414] * (-3156.926) (-3159.459) (-3163.361) [-3148.141] -- 0:16:23
Average standard deviation of split frequencies: 0.028084
181000 -- [-3147.733] (-3158.904) (-3153.158) (-3151.328) * (-3139.202) [-3137.719] (-3156.033) (-3147.886) -- 0:16:26
182000 -- (-3159.532) (-3139.790) [-3144.215] (-3147.879) * (-3148.953) [-3142.324] (-3142.775) (-3159.109) -- 0:16:24
183000 -- (-3152.389) (-3138.031) (-3144.326) [-3128.800] * (-3153.300) [-3142.891] (-3136.497) (-3173.695) -- 0:16:26
184000 -- (-3167.198) (-3129.874) (-3149.930) [-3145.380] * (-3157.477) (-3142.389) [-3141.592] (-3146.065) -- 0:16:28
185000 -- (-3164.857) (-3143.033) [-3160.436] (-3144.276) * (-3155.231) (-3151.604) (-3168.158) [-3139.857] -- 0:16:26
Average standard deviation of split frequencies: 0.026545
186000 -- (-3147.757) (-3149.322) (-3155.611) [-3148.719] * (-3168.575) [-3154.997] (-3153.427) (-3140.848) -- 0:16:29
187000 -- [-3154.370] (-3145.077) (-3155.563) (-3131.203) * (-3157.428) (-3139.637) [-3154.597] (-3160.862) -- 0:16:26
188000 -- [-3143.033] (-3137.860) (-3159.760) (-3138.600) * (-3132.373) [-3145.842] (-3155.435) (-3158.636) -- 0:16:29
189000 -- [-3137.389] (-3145.924) (-3168.889) (-3133.974) * (-3150.627) (-3138.722) [-3149.265] (-3165.954) -- 0:16:26
190000 -- (-3148.410) [-3153.907] (-3148.506) (-3148.006) * (-3157.606) [-3145.982] (-3149.912) (-3142.583) -- 0:16:29
Average standard deviation of split frequencies: 0.024464
191000 -- (-3159.944) [-3133.504] (-3150.407) (-3149.603) * (-3163.102) [-3138.171] (-3161.691) (-3150.630) -- 0:16:31
192000 -- (-3168.317) (-3152.342) [-3140.467] (-3143.720) * [-3145.026] (-3147.624) (-3158.840) (-3157.747) -- 0:16:28
193000 -- (-3157.118) [-3146.030] (-3133.871) (-3142.188) * [-3136.549] (-3144.605) (-3153.290) (-3159.417) -- 0:16:30
194000 -- (-3162.130) [-3145.423] (-3150.142) (-3159.588) * (-3146.853) [-3136.742] (-3147.957) (-3153.298) -- 0:16:28
195000 -- (-3151.944) [-3150.266] (-3156.300) (-3155.371) * [-3139.998] (-3137.565) (-3154.655) (-3164.912) -- 0:16:26
Average standard deviation of split frequencies: 0.024431
196000 -- (-3155.133) [-3144.791] (-3146.817) (-3142.236) * (-3134.390) [-3135.683] (-3156.921) (-3159.985) -- 0:16:24
197000 -- (-3151.415) (-3157.438) (-3154.585) [-3142.472] * (-3152.180) (-3146.952) [-3133.789] (-3158.764) -- 0:16:22
198000 -- (-3152.492) (-3149.626) (-3140.859) [-3145.485] * (-3140.095) (-3141.097) (-3165.013) [-3137.041] -- 0:16:20
199000 -- (-3155.975) [-3150.648] (-3144.938) (-3160.781) * [-3139.339] (-3156.971) (-3144.588) (-3142.562) -- 0:16:18
200000 -- (-3146.294) [-3147.217] (-3147.905) (-3155.358) * (-3148.657) (-3151.880) (-3150.013) [-3152.867] -- 0:16:16
Average standard deviation of split frequencies: 0.023183
201000 -- [-3139.105] (-3148.821) (-3148.771) (-3165.738) * (-3154.541) (-3149.450) (-3132.372) [-3138.219] -- 0:16:13
202000 -- (-3133.480) [-3133.974] (-3144.951) (-3162.983) * (-3150.868) (-3155.262) [-3144.101] (-3144.947) -- 0:16:11
203000 -- (-3138.823) [-3136.788] (-3158.344) (-3166.006) * (-3143.869) (-3144.174) [-3152.469] (-3148.178) -- 0:16:09
204000 -- [-3133.180] (-3149.081) (-3175.709) (-3148.348) * (-3138.298) (-3153.269) (-3139.051) [-3135.186] -- 0:16:07
205000 -- (-3142.762) (-3145.582) [-3134.897] (-3148.721) * (-3133.876) [-3145.482] (-3161.488) (-3140.205) -- 0:16:05
Average standard deviation of split frequencies: 0.021318
206000 -- (-3141.692) [-3141.472] (-3154.945) (-3155.442) * [-3149.451] (-3144.172) (-3146.203) (-3155.385) -- 0:16:03
207000 -- [-3149.526] (-3148.938) (-3148.388) (-3146.669) * (-3138.500) [-3136.673] (-3171.449) (-3168.097) -- 0:16:01
208000 -- [-3152.558] (-3130.113) (-3132.404) (-3146.882) * [-3150.568] (-3138.708) (-3154.901) (-3169.645) -- 0:15:59
209000 -- (-3164.725) (-3138.606) (-3152.770) [-3144.779] * (-3138.824) (-3148.049) (-3149.354) [-3162.363] -- 0:15:57
210000 -- (-3169.437) (-3166.201) (-3151.530) [-3142.005] * [-3135.305] (-3171.329) (-3152.992) (-3159.868) -- 0:15:55
Average standard deviation of split frequencies: 0.020492
211000 -- (-3153.989) (-3164.659) (-3151.386) [-3149.786] * [-3131.077] (-3158.632) (-3170.323) (-3138.646) -- 0:15:53
212000 -- (-3155.873) (-3161.816) (-3148.879) [-3146.813] * (-3150.234) (-3145.751) (-3155.040) [-3141.640] -- 0:15:51
213000 -- [-3139.883] (-3145.358) (-3143.928) (-3175.226) * (-3144.808) (-3141.888) (-3162.519) [-3145.158] -- 0:15:49
214000 -- (-3146.487) (-3147.936) (-3134.830) [-3142.835] * (-3150.434) [-3160.453] (-3152.522) (-3155.781) -- 0:15:47
215000 -- [-3144.227] (-3170.331) (-3144.972) (-3158.028) * (-3159.105) (-3145.580) [-3139.824] (-3160.603) -- 0:15:45
Average standard deviation of split frequencies: 0.021882
216000 -- (-3145.993) [-3142.958] (-3142.315) (-3154.679) * [-3137.651] (-3142.276) (-3161.539) (-3156.966) -- 0:15:43
217000 -- (-3153.390) (-3152.453) [-3148.072] (-3153.696) * [-3134.484] (-3135.253) (-3148.423) (-3144.588) -- 0:15:41
218000 -- [-3143.820] (-3142.978) (-3152.392) (-3174.198) * (-3152.762) (-3150.125) (-3148.837) [-3145.404] -- 0:15:39
219000 -- (-3146.681) (-3157.445) [-3159.095] (-3166.054) * (-3145.968) (-3157.047) (-3146.322) [-3138.802] -- 0:15:37
220000 -- (-3157.051) (-3145.467) (-3158.332) [-3134.418] * (-3143.699) (-3148.156) [-3138.182] (-3145.399) -- 0:15:35
Average standard deviation of split frequencies: 0.019114
221000 -- (-3161.817) [-3147.439] (-3143.465) (-3151.782) * (-3152.754) [-3136.376] (-3172.052) (-3151.145) -- 0:15:34
222000 -- (-3161.466) (-3143.343) [-3151.076] (-3161.006) * [-3143.645] (-3141.815) (-3155.375) (-3146.867) -- 0:15:32
223000 -- (-3149.982) [-3136.993] (-3142.954) (-3163.850) * (-3170.187) [-3147.492] (-3159.787) (-3157.641) -- 0:15:30
224000 -- (-3130.805) [-3143.864] (-3153.582) (-3152.362) * [-3148.852] (-3140.315) (-3162.187) (-3151.529) -- 0:15:28
225000 -- (-3144.433) (-3151.863) [-3141.692] (-3152.247) * (-3140.215) [-3141.826] (-3156.158) (-3148.698) -- 0:15:26
Average standard deviation of split frequencies: 0.020090
226000 -- (-3157.762) (-3164.717) [-3144.944] (-3140.607) * (-3153.981) [-3141.860] (-3143.613) (-3144.849) -- 0:15:28
227000 -- (-3151.022) (-3163.730) (-3143.669) [-3142.301] * (-3155.411) [-3140.197] (-3148.983) (-3143.107) -- 0:15:29
228000 -- [-3159.215] (-3163.132) (-3153.645) (-3141.308) * [-3144.875] (-3160.390) (-3145.596) (-3153.579) -- 0:15:27
229000 -- (-3156.525) (-3154.021) (-3159.525) [-3148.304] * [-3137.700] (-3162.390) (-3163.754) (-3141.986) -- 0:15:29
230000 -- (-3149.990) [-3138.640] (-3148.106) (-3149.951) * [-3138.764] (-3155.098) (-3154.004) (-3148.497) -- 0:15:27
Average standard deviation of split frequencies: 0.021351
231000 -- [-3147.606] (-3155.009) (-3139.813) (-3167.807) * [-3140.120] (-3158.929) (-3152.153) (-3157.179) -- 0:15:28
232000 -- (-3147.502) (-3164.552) (-3149.600) [-3146.794] * (-3147.798) (-3145.395) [-3136.393] (-3138.820) -- 0:15:26
233000 -- (-3140.831) [-3144.905] (-3149.154) (-3155.926) * (-3151.860) (-3166.166) (-3148.702) [-3138.023] -- 0:15:28
234000 -- (-3154.201) (-3136.091) (-3155.577) [-3131.825] * (-3137.116) [-3147.678] (-3165.633) (-3154.127) -- 0:15:26
235000 -- (-3157.757) (-3150.779) (-3145.274) [-3143.686] * (-3164.531) (-3142.509) (-3145.672) [-3142.407] -- 0:15:27
Average standard deviation of split frequencies: 0.022130
236000 -- (-3151.947) [-3148.234] (-3148.696) (-3147.917) * (-3155.724) (-3143.833) (-3161.454) [-3124.776] -- 0:15:29
237000 -- (-3148.448) (-3140.495) [-3142.438] (-3154.526) * (-3155.604) [-3158.772] (-3154.943) (-3132.198) -- 0:15:27
238000 -- (-3164.710) (-3143.285) [-3139.334] (-3151.281) * (-3163.861) [-3134.411] (-3156.925) (-3157.994) -- 0:15:28
239000 -- (-3173.127) (-3156.005) [-3141.975] (-3141.737) * (-3166.122) (-3147.103) [-3132.059] (-3158.978) -- 0:15:26
240000 -- (-3167.299) (-3147.333) (-3144.542) [-3132.543] * (-3163.622) (-3152.878) [-3142.083] (-3165.855) -- 0:15:27
Average standard deviation of split frequencies: 0.022371
241000 -- (-3168.699) [-3133.470] (-3142.642) (-3147.231) * (-3137.786) (-3148.863) [-3136.626] (-3155.991) -- 0:15:29
242000 -- [-3150.577] (-3151.257) (-3149.222) (-3157.703) * (-3148.342) (-3159.579) (-3145.497) [-3136.161] -- 0:15:27
243000 -- (-3147.358) (-3156.694) (-3149.059) [-3138.074] * (-3138.387) (-3168.804) (-3147.188) [-3129.550] -- 0:15:28
244000 -- (-3155.562) [-3148.870] (-3185.229) (-3151.843) * [-3147.203] (-3137.558) (-3150.164) (-3156.622) -- 0:15:26
245000 -- (-3142.727) (-3175.514) [-3144.827] (-3146.444) * (-3151.038) (-3136.346) (-3170.131) [-3137.567] -- 0:15:27
Average standard deviation of split frequencies: 0.021634
246000 -- [-3142.485] (-3152.461) (-3159.759) (-3150.429) * (-3149.990) (-3157.629) (-3149.183) [-3137.130] -- 0:15:25
247000 -- [-3124.335] (-3168.500) (-3150.487) (-3157.479) * [-3143.300] (-3146.860) (-3157.412) (-3151.900) -- 0:15:26
248000 -- [-3127.262] (-3150.993) (-3155.864) (-3159.624) * (-3147.629) [-3138.031] (-3156.820) (-3161.428) -- 0:15:24
249000 -- (-3139.761) (-3174.171) [-3134.691] (-3156.037) * (-3147.593) [-3141.099] (-3155.229) (-3171.066) -- 0:15:25
250000 -- (-3138.981) (-3164.681) (-3156.714) [-3153.751] * (-3140.295) (-3166.877) [-3138.254] (-3176.623) -- 0:15:26
Average standard deviation of split frequencies: 0.021478
251000 -- [-3148.666] (-3150.570) (-3153.789) (-3149.940) * (-3159.763) (-3152.314) [-3139.629] (-3168.832) -- 0:15:25
252000 -- [-3137.520] (-3147.494) (-3153.252) (-3153.786) * (-3159.836) [-3146.328] (-3142.469) (-3145.989) -- 0:15:26
253000 -- (-3142.833) [-3144.936] (-3152.560) (-3164.792) * (-3160.438) (-3145.972) [-3141.857] (-3156.820) -- 0:15:24
254000 -- (-3155.313) (-3147.083) (-3165.204) [-3148.661] * (-3154.984) [-3148.519] (-3141.386) (-3151.375) -- 0:15:25
255000 -- (-3155.205) [-3145.973] (-3148.533) (-3147.083) * (-3139.068) (-3166.526) [-3139.712] (-3160.315) -- 0:15:23
Average standard deviation of split frequencies: 0.019965
256000 -- (-3152.648) (-3141.994) (-3152.531) [-3156.697] * (-3152.220) (-3153.682) (-3154.345) [-3141.798] -- 0:15:24
257000 -- (-3153.296) [-3149.041] (-3149.127) (-3159.917) * (-3149.076) (-3151.621) (-3148.678) [-3133.859] -- 0:15:22
258000 -- (-3157.378) [-3137.281] (-3160.295) (-3151.563) * [-3142.004] (-3152.269) (-3132.059) (-3141.809) -- 0:15:20
259000 -- (-3159.499) [-3139.139] (-3150.466) (-3155.699) * (-3143.394) [-3140.960] (-3152.384) (-3165.065) -- 0:15:21
260000 -- [-3130.978] (-3162.049) (-3160.347) (-3147.989) * (-3141.900) (-3156.630) [-3150.720] (-3147.515) -- 0:15:19
Average standard deviation of split frequencies: 0.018989
261000 -- [-3140.448] (-3147.096) (-3153.909) (-3154.919) * (-3149.230) [-3133.422] (-3147.784) (-3147.892) -- 0:15:17
262000 -- (-3147.435) [-3148.440] (-3153.946) (-3149.370) * (-3148.491) (-3155.780) [-3132.861] (-3158.691) -- 0:15:15
263000 -- [-3140.689] (-3156.515) (-3137.588) (-3162.572) * [-3140.454] (-3142.818) (-3136.641) (-3171.281) -- 0:15:13
264000 -- (-3150.485) [-3147.389] (-3150.873) (-3141.224) * [-3142.849] (-3156.146) (-3134.651) (-3154.027) -- 0:15:11
265000 -- (-3149.448) (-3153.684) [-3134.542] (-3149.039) * (-3147.156) (-3160.352) [-3139.252] (-3154.149) -- 0:15:09
Average standard deviation of split frequencies: 0.018655
266000 -- (-3171.566) (-3157.328) [-3144.318] (-3154.476) * (-3145.670) [-3147.699] (-3142.219) (-3143.042) -- 0:15:10
267000 -- (-3151.319) (-3136.363) [-3138.415] (-3154.093) * (-3148.268) (-3158.630) (-3150.401) [-3134.314] -- 0:15:11
268000 -- (-3148.720) [-3139.058] (-3139.590) (-3161.273) * (-3142.722) [-3139.723] (-3159.660) (-3143.514) -- 0:15:09
269000 -- (-3144.497) (-3148.149) [-3147.509] (-3157.720) * (-3138.995) [-3139.146] (-3167.040) (-3142.729) -- 0:15:07
270000 -- [-3141.914] (-3136.489) (-3146.971) (-3164.432) * (-3142.729) (-3154.769) (-3153.634) [-3144.972] -- 0:15:05
Average standard deviation of split frequencies: 0.018791
271000 -- (-3143.169) (-3135.899) [-3145.683] (-3156.635) * (-3152.286) (-3149.864) [-3143.351] (-3134.949) -- 0:15:03
272000 -- (-3150.320) [-3139.539] (-3138.058) (-3135.233) * [-3147.272] (-3141.019) (-3147.194) (-3144.054) -- 0:15:01
273000 -- (-3163.311) (-3159.509) [-3129.535] (-3157.364) * (-3137.840) [-3134.208] (-3148.296) (-3160.012) -- 0:15:00
274000 -- (-3143.986) [-3151.362] (-3139.019) (-3158.868) * [-3145.448] (-3156.590) (-3143.532) (-3152.039) -- 0:14:58
275000 -- (-3141.793) [-3135.203] (-3140.893) (-3144.668) * [-3152.400] (-3164.355) (-3156.972) (-3160.528) -- 0:14:56
Average standard deviation of split frequencies: 0.017484
276000 -- (-3140.932) (-3147.639) (-3153.064) [-3142.588] * (-3155.498) (-3157.656) [-3141.911] (-3165.863) -- 0:14:54
277000 -- (-3153.572) (-3145.891) (-3165.950) [-3143.167] * (-3161.162) (-3158.456) (-3132.759) [-3132.641] -- 0:14:52
278000 -- (-3146.235) (-3149.849) (-3151.580) [-3138.640] * (-3155.848) [-3157.859] (-3145.288) (-3155.688) -- 0:14:50
279000 -- (-3150.139) [-3149.765] (-3153.639) (-3139.629) * (-3146.822) (-3151.988) [-3139.021] (-3159.242) -- 0:14:48
280000 -- (-3141.923) (-3139.570) [-3139.474] (-3155.029) * [-3145.673] (-3143.557) (-3144.273) (-3154.161) -- 0:14:47
Average standard deviation of split frequencies: 0.018520
281000 -- (-3154.752) [-3143.770] (-3160.465) (-3138.743) * [-3143.025] (-3159.623) (-3159.199) (-3151.099) -- 0:14:45
282000 -- (-3158.667) (-3138.170) [-3149.821] (-3147.283) * (-3142.510) (-3158.195) (-3144.645) [-3140.178] -- 0:14:43
283000 -- (-3145.483) (-3139.442) [-3146.751] (-3144.532) * [-3150.027] (-3169.092) (-3162.258) (-3142.379) -- 0:14:41
284000 -- (-3155.680) (-3147.168) (-3151.005) [-3141.379] * [-3146.774] (-3163.345) (-3163.704) (-3148.942) -- 0:14:39
285000 -- (-3140.664) [-3141.286] (-3152.543) (-3161.985) * (-3146.245) (-3169.940) (-3163.770) [-3143.792] -- 0:14:38
Average standard deviation of split frequencies: 0.018304
286000 -- (-3145.349) (-3143.063) (-3154.323) [-3144.053] * (-3159.930) (-3145.306) (-3139.202) [-3140.376] -- 0:14:36
287000 -- (-3147.828) (-3160.814) (-3155.769) [-3148.855] * (-3143.865) (-3159.686) (-3151.061) [-3128.057] -- 0:14:34
288000 -- (-3144.229) (-3146.597) (-3158.939) [-3133.733] * (-3156.098) (-3165.920) (-3154.203) [-3135.802] -- 0:14:32
289000 -- (-3147.855) [-3137.455] (-3158.004) (-3155.874) * (-3150.407) (-3157.665) [-3136.151] (-3140.649) -- 0:14:30
290000 -- (-3151.278) (-3144.140) [-3141.132] (-3152.965) * (-3169.316) (-3157.801) [-3140.489] (-3138.935) -- 0:14:29
Average standard deviation of split frequencies: 0.019547
291000 -- [-3142.738] (-3148.085) (-3156.477) (-3151.462) * (-3151.747) (-3166.637) (-3141.237) [-3137.505] -- 0:14:27
292000 -- (-3151.914) [-3143.922] (-3162.658) (-3143.247) * [-3140.392] (-3154.899) (-3147.249) (-3141.171) -- 0:14:25
293000 -- (-3155.159) (-3144.186) (-3156.661) [-3141.169] * (-3158.396) (-3156.625) (-3139.578) [-3155.640] -- 0:14:23
294000 -- (-3159.018) (-3164.858) (-3146.861) [-3138.934] * (-3141.990) [-3125.928] (-3155.246) (-3154.967) -- 0:14:22
295000 -- (-3136.348) [-3135.653] (-3152.041) (-3158.982) * [-3145.395] (-3143.458) (-3164.449) (-3152.690) -- 0:14:20
Average standard deviation of split frequencies: 0.019111
296000 -- (-3160.683) [-3142.649] (-3166.519) (-3145.372) * [-3143.489] (-3145.357) (-3166.120) (-3159.663) -- 0:14:18
297000 -- [-3141.354] (-3146.322) (-3162.438) (-3146.664) * (-3141.977) (-3155.997) (-3155.979) [-3150.273] -- 0:14:16
298000 -- (-3153.099) (-3151.768) [-3147.174] (-3157.557) * (-3157.635) (-3145.794) (-3148.692) [-3150.780] -- 0:14:15
299000 -- (-3148.054) (-3146.012) (-3153.581) [-3142.016] * (-3162.295) [-3145.917] (-3163.010) (-3144.572) -- 0:14:13
300000 -- (-3170.246) (-3142.720) (-3177.834) [-3142.043] * (-3159.849) (-3141.715) (-3167.970) [-3141.857] -- 0:14:11
Average standard deviation of split frequencies: 0.019805
301000 -- (-3165.525) (-3150.036) (-3166.923) [-3139.122] * (-3147.962) [-3144.219] (-3163.206) (-3134.763) -- 0:14:09
302000 -- (-3145.615) (-3134.391) [-3135.719] (-3145.162) * (-3149.470) [-3136.340] (-3160.467) (-3146.254) -- 0:14:08
303000 -- [-3135.128] (-3140.493) (-3142.334) (-3143.838) * (-3159.818) [-3143.412] (-3147.653) (-3159.170) -- 0:14:06
304000 -- [-3143.990] (-3161.435) (-3141.427) (-3156.130) * (-3145.098) (-3155.481) [-3144.778] (-3173.245) -- 0:14:04
305000 -- [-3147.486] (-3148.011) (-3150.945) (-3154.699) * [-3136.069] (-3152.001) (-3149.418) (-3168.957) -- 0:14:03
Average standard deviation of split frequencies: 0.019662
306000 -- (-3152.535) (-3141.608) (-3151.191) [-3145.535] * (-3143.951) (-3152.553) (-3145.500) [-3136.852] -- 0:14:01
307000 -- [-3144.113] (-3154.019) (-3147.764) (-3154.179) * (-3147.728) (-3163.260) [-3140.865] (-3151.318) -- 0:13:59
308000 -- (-3142.999) (-3143.187) (-3156.176) [-3143.150] * (-3147.147) (-3170.792) [-3139.779] (-3139.148) -- 0:13:58
309000 -- (-3144.210) (-3165.459) (-3156.209) [-3144.631] * [-3133.677] (-3176.667) (-3139.582) (-3144.213) -- 0:13:56
310000 -- [-3135.318] (-3163.491) (-3154.598) (-3144.452) * (-3160.387) [-3148.820] (-3165.759) (-3139.625) -- 0:13:54
Average standard deviation of split frequencies: 0.019926
311000 -- [-3129.388] (-3145.649) (-3143.793) (-3153.337) * (-3163.568) [-3155.671] (-3161.129) (-3165.111) -- 0:13:53
312000 -- [-3148.812] (-3159.614) (-3151.292) (-3144.079) * (-3155.260) (-3154.760) [-3147.609] (-3161.725) -- 0:13:51
313000 -- (-3147.937) [-3147.222] (-3156.165) (-3156.556) * [-3141.467] (-3142.087) (-3160.584) (-3161.526) -- 0:13:49
314000 -- (-3140.913) (-3150.565) [-3138.107] (-3155.832) * [-3145.692] (-3163.934) (-3141.457) (-3151.826) -- 0:13:48
315000 -- (-3140.904) (-3154.108) [-3149.747] (-3140.462) * (-3132.366) (-3177.204) [-3149.024] (-3150.566) -- 0:13:46
Average standard deviation of split frequencies: 0.018883
316000 -- (-3142.009) (-3146.321) (-3160.035) [-3131.123] * (-3157.877) (-3154.279) [-3136.780] (-3141.402) -- 0:13:44
317000 -- (-3155.630) (-3150.354) (-3136.167) [-3138.074] * [-3147.669] (-3150.525) (-3140.942) (-3149.495) -- 0:13:43
318000 -- (-3164.230) [-3130.806] (-3135.226) (-3146.080) * (-3153.777) (-3152.836) [-3128.994] (-3142.237) -- 0:13:41
319000 -- (-3163.894) (-3137.841) [-3136.920] (-3149.271) * (-3137.964) (-3162.955) [-3151.696] (-3152.555) -- 0:13:39
320000 -- (-3149.886) (-3139.709) (-3146.255) [-3139.375] * [-3146.273] (-3152.546) (-3144.327) (-3153.248) -- 0:13:38
Average standard deviation of split frequencies: 0.018802
321000 -- (-3166.032) [-3148.346] (-3150.989) (-3138.059) * (-3143.187) [-3146.560] (-3157.901) (-3158.949) -- 0:13:36
322000 -- (-3144.332) [-3141.240] (-3156.588) (-3142.848) * (-3153.894) (-3152.925) (-3175.634) [-3141.263] -- 0:13:32
323000 -- (-3149.478) [-3134.483] (-3147.599) (-3150.138) * (-3140.064) [-3143.225] (-3144.298) (-3133.137) -- 0:13:31
324000 -- (-3152.880) (-3139.519) (-3145.869) [-3140.441] * (-3140.845) (-3164.071) (-3145.406) [-3142.512] -- 0:13:29
325000 -- (-3144.410) (-3142.485) (-3162.726) [-3128.407] * (-3130.424) (-3165.004) [-3134.390] (-3144.121) -- 0:13:27
Average standard deviation of split frequencies: 0.018037
326000 -- (-3159.202) (-3155.193) [-3142.520] (-3152.673) * [-3140.780] (-3150.611) (-3156.402) (-3146.942) -- 0:13:26
327000 -- (-3161.636) (-3148.291) [-3134.787] (-3156.661) * (-3151.457) (-3147.497) (-3151.630) [-3142.610] -- 0:13:24
328000 -- (-3148.550) (-3156.451) (-3159.026) [-3129.444] * (-3160.363) (-3154.086) (-3155.335) [-3136.560] -- 0:13:23
329000 -- (-3153.650) [-3142.586] (-3143.632) (-3162.204) * [-3150.746] (-3160.135) (-3161.027) (-3140.078) -- 0:13:21
330000 -- [-3154.509] (-3136.495) (-3150.138) (-3152.600) * (-3150.653) (-3150.368) (-3165.712) [-3133.447] -- 0:13:19
Average standard deviation of split frequencies: 0.016732
331000 -- (-3157.542) (-3140.501) [-3137.174] (-3155.170) * [-3151.642] (-3161.214) (-3169.241) (-3147.290) -- 0:13:18
332000 -- [-3154.659] (-3134.317) (-3148.432) (-3159.153) * (-3171.580) (-3155.771) (-3140.526) [-3138.525] -- 0:13:16
333000 -- (-3151.286) [-3131.063] (-3156.935) (-3152.994) * (-3146.103) (-3167.916) (-3128.251) [-3139.645] -- 0:13:15
334000 -- (-3158.411) (-3140.657) [-3145.279] (-3159.003) * (-3147.185) (-3169.904) [-3135.917] (-3149.219) -- 0:13:13
335000 -- (-3154.936) [-3124.878] (-3146.429) (-3154.461) * (-3141.057) (-3142.599) [-3140.992] (-3158.094) -- 0:13:12
Average standard deviation of split frequencies: 0.016577
336000 -- [-3134.498] (-3138.862) (-3158.980) (-3154.918) * [-3141.774] (-3146.743) (-3136.397) (-3152.232) -- 0:13:10
337000 -- (-3140.761) (-3146.818) (-3157.523) [-3141.728] * (-3143.601) (-3154.842) [-3136.146] (-3154.928) -- 0:13:08
338000 -- (-3151.828) (-3144.647) (-3168.655) [-3139.096] * (-3149.157) (-3147.612) [-3132.234] (-3160.240) -- 0:13:07
339000 -- [-3137.810] (-3144.466) (-3140.341) (-3152.071) * (-3148.234) (-3157.446) [-3140.012] (-3154.877) -- 0:13:05
340000 -- [-3145.756] (-3160.283) (-3154.189) (-3143.257) * (-3165.366) (-3153.269) [-3135.304] (-3145.998) -- 0:13:04
Average standard deviation of split frequencies: 0.014857
341000 -- (-3148.366) (-3148.919) (-3146.240) [-3139.558] * (-3158.571) (-3157.733) (-3154.966) [-3146.424] -- 0:13:02
342000 -- [-3138.490] (-3152.838) (-3153.623) (-3148.087) * (-3181.646) (-3149.431) [-3147.607] (-3137.576) -- 0:13:01
343000 -- [-3141.733] (-3136.795) (-3150.995) (-3155.138) * (-3162.605) (-3159.940) (-3150.139) [-3148.776] -- 0:12:59
344000 -- [-3126.790] (-3148.318) (-3149.023) (-3170.074) * (-3147.707) (-3158.944) [-3147.426] (-3145.328) -- 0:12:58
345000 -- (-3133.068) [-3137.832] (-3156.934) (-3148.380) * (-3148.327) (-3143.776) [-3132.942] (-3160.445) -- 0:12:56
Average standard deviation of split frequencies: 0.014019
346000 -- (-3165.452) (-3160.175) (-3137.964) [-3146.025] * (-3147.853) [-3147.360] (-3156.202) (-3146.123) -- 0:12:54
347000 -- (-3161.466) (-3153.965) (-3156.062) [-3143.818] * (-3142.920) (-3156.423) (-3147.987) [-3136.507] -- 0:12:53
348000 -- (-3150.519) (-3146.657) (-3143.087) [-3138.381] * (-3141.579) (-3160.734) [-3130.101] (-3146.590) -- 0:12:51
349000 -- [-3135.475] (-3161.764) (-3174.694) (-3158.698) * (-3135.308) (-3148.492) [-3151.154] (-3159.857) -- 0:12:50
350000 -- [-3146.094] (-3143.549) (-3149.529) (-3159.809) * [-3141.072] (-3165.215) (-3152.189) (-3168.146) -- 0:12:50
Average standard deviation of split frequencies: 0.013231
351000 -- (-3136.163) [-3139.884] (-3151.273) (-3153.447) * (-3149.058) [-3138.323] (-3148.226) (-3151.194) -- 0:12:49
352000 -- [-3144.413] (-3137.733) (-3154.266) (-3161.810) * (-3152.047) (-3139.402) [-3132.161] (-3159.955) -- 0:12:47
353000 -- (-3150.270) [-3136.186] (-3160.157) (-3156.229) * (-3141.244) (-3144.529) [-3146.835] (-3166.511) -- 0:12:46
354000 -- (-3146.288) [-3140.801] (-3140.558) (-3149.386) * (-3156.257) (-3137.621) (-3150.995) [-3143.817] -- 0:12:44
355000 -- (-3161.914) (-3146.626) (-3164.044) [-3145.627] * (-3143.835) (-3175.168) [-3139.679] (-3151.635) -- 0:12:43
Average standard deviation of split frequencies: 0.013242
356000 -- [-3129.743] (-3138.771) (-3151.503) (-3140.563) * (-3151.274) (-3149.117) [-3133.797] (-3141.251) -- 0:12:41
357000 -- (-3136.926) (-3138.159) (-3157.858) [-3135.648] * (-3158.010) (-3170.457) [-3150.539] (-3142.131) -- 0:12:40
358000 -- (-3136.538) [-3137.276] (-3149.990) (-3143.219) * (-3157.980) (-3161.370) (-3160.465) [-3140.714] -- 0:12:38
359000 -- (-3150.341) (-3139.889) (-3157.426) [-3154.511] * (-3142.645) [-3140.069] (-3155.620) (-3141.342) -- 0:12:37
360000 -- [-3136.581] (-3150.851) (-3159.098) (-3153.059) * (-3164.304) [-3127.324] (-3138.977) (-3146.989) -- 0:12:35
Average standard deviation of split frequencies: 0.012692
361000 -- (-3152.221) [-3134.648] (-3144.694) (-3138.075) * (-3156.954) (-3142.903) (-3148.099) [-3139.944] -- 0:12:34
362000 -- (-3160.212) [-3141.094] (-3157.997) (-3142.397) * (-3145.715) (-3150.004) [-3153.087] (-3158.977) -- 0:12:32
363000 -- (-3171.886) (-3161.459) (-3149.789) [-3136.695] * (-3152.119) [-3152.809] (-3159.558) (-3133.070) -- 0:12:31
364000 -- (-3169.699) [-3157.201] (-3141.957) (-3149.398) * (-3152.111) (-3132.329) (-3156.399) [-3132.849] -- 0:12:29
365000 -- (-3146.192) (-3159.690) [-3145.532] (-3147.179) * (-3163.260) (-3139.826) (-3163.575) [-3137.658] -- 0:12:28
Average standard deviation of split frequencies: 0.011999
366000 -- (-3142.099) (-3147.054) (-3150.584) [-3141.949] * (-3160.878) [-3142.895] (-3139.835) (-3154.060) -- 0:12:26
367000 -- (-3149.004) (-3155.461) (-3149.448) [-3130.892] * (-3165.786) (-3140.456) [-3146.400] (-3157.287) -- 0:12:25
368000 -- [-3148.944] (-3129.335) (-3142.680) (-3140.283) * (-3158.651) [-3142.041] (-3150.531) (-3151.428) -- 0:12:23
369000 -- (-3150.066) (-3148.590) [-3147.415] (-3146.738) * (-3154.537) [-3149.166] (-3143.365) (-3153.571) -- 0:12:22
370000 -- (-3156.046) (-3156.439) (-3169.426) [-3149.241] * (-3141.788) (-3148.960) [-3145.788] (-3164.746) -- 0:12:20
Average standard deviation of split frequencies: 0.011613
371000 -- (-3166.902) (-3152.490) (-3149.767) [-3143.109] * (-3148.178) [-3143.969] (-3160.974) (-3164.684) -- 0:12:19
372000 -- [-3149.772] (-3145.945) (-3149.768) (-3147.672) * (-3153.118) [-3138.753] (-3147.570) (-3161.769) -- 0:12:17
373000 -- (-3139.167) [-3142.959] (-3150.763) (-3171.610) * [-3137.835] (-3151.108) (-3151.262) (-3147.165) -- 0:12:16
374000 -- [-3145.069] (-3143.869) (-3147.492) (-3152.991) * (-3133.681) (-3140.594) (-3154.268) [-3146.505] -- 0:12:14
375000 -- (-3156.752) [-3144.105] (-3142.510) (-3156.757) * (-3155.024) [-3150.733] (-3131.100) (-3163.080) -- 0:12:13
Average standard deviation of split frequencies: 0.011812
376000 -- (-3157.372) (-3157.567) [-3151.671] (-3143.020) * (-3166.051) (-3156.520) [-3152.387] (-3152.243) -- 0:12:11
377000 -- (-3158.125) [-3139.048] (-3156.983) (-3158.935) * (-3151.757) (-3152.304) [-3139.958] (-3149.698) -- 0:12:10
378000 -- (-3139.647) [-3130.071] (-3155.598) (-3139.319) * [-3137.305] (-3175.239) (-3138.641) (-3148.094) -- 0:12:08
379000 -- [-3140.501] (-3140.444) (-3141.541) (-3139.083) * [-3139.038] (-3168.851) (-3149.345) (-3149.109) -- 0:12:07
380000 -- (-3143.523) (-3171.661) (-3149.028) [-3139.487] * [-3135.349] (-3146.036) (-3155.526) (-3160.157) -- 0:12:06
Average standard deviation of split frequencies: 0.013003
381000 -- (-3168.111) (-3140.011) [-3136.535] (-3145.476) * [-3139.810] (-3146.662) (-3151.635) (-3162.417) -- 0:12:04
382000 -- [-3144.566] (-3143.254) (-3137.380) (-3142.147) * (-3136.924) (-3174.567) [-3140.250] (-3144.232) -- 0:12:03
383000 -- [-3144.754] (-3153.788) (-3161.573) (-3146.025) * (-3141.029) (-3160.680) [-3130.584] (-3130.379) -- 0:12:01
384000 -- (-3157.292) (-3163.391) (-3166.910) [-3124.006] * (-3141.220) (-3163.642) [-3144.928] (-3144.969) -- 0:12:00
385000 -- (-3154.644) [-3143.014] (-3153.030) (-3148.856) * [-3139.270] (-3155.494) (-3152.372) (-3139.087) -- 0:11:58
Average standard deviation of split frequencies: 0.012662
386000 -- [-3138.217] (-3138.902) (-3145.471) (-3145.335) * (-3144.741) (-3160.324) [-3141.673] (-3142.763) -- 0:11:57
387000 -- [-3141.974] (-3131.107) (-3148.122) (-3150.167) * (-3155.057) (-3159.739) (-3147.036) [-3136.733] -- 0:11:55
388000 -- (-3145.656) [-3138.454] (-3149.855) (-3157.518) * [-3142.148] (-3152.057) (-3138.260) (-3152.385) -- 0:11:54
389000 -- [-3143.005] (-3154.257) (-3146.666) (-3159.285) * (-3164.825) [-3156.885] (-3151.393) (-3173.228) -- 0:11:53
390000 -- [-3142.452] (-3148.197) (-3149.387) (-3150.184) * [-3144.382] (-3146.991) (-3143.542) (-3171.729) -- 0:11:51
Average standard deviation of split frequencies: 0.011908
391000 -- (-3139.311) [-3149.672] (-3138.528) (-3157.909) * (-3149.707) [-3152.055] (-3145.096) (-3157.193) -- 0:11:50
392000 -- (-3144.499) (-3148.872) [-3134.232] (-3156.643) * (-3162.529) (-3135.301) (-3143.020) [-3149.755] -- 0:11:48
393000 -- (-3149.718) (-3153.107) [-3135.871] (-3139.652) * (-3137.004) (-3147.983) (-3157.383) [-3142.335] -- 0:11:47
394000 -- (-3141.412) (-3146.530) [-3126.947] (-3146.425) * (-3155.504) (-3158.735) [-3149.461] (-3149.420) -- 0:11:45
395000 -- [-3138.011] (-3156.232) (-3151.640) (-3134.148) * (-3166.353) (-3176.394) (-3143.516) [-3146.415] -- 0:11:44
Average standard deviation of split frequencies: 0.010902
396000 -- [-3134.694] (-3152.255) (-3153.314) (-3142.786) * (-3150.709) (-3157.043) [-3138.596] (-3162.926) -- 0:11:43
397000 -- (-3165.083) (-3146.162) [-3146.020] (-3155.152) * [-3139.778] (-3163.178) (-3133.774) (-3157.751) -- 0:11:41
398000 -- (-3151.908) (-3145.347) [-3133.133] (-3156.684) * (-3135.820) [-3141.710] (-3163.943) (-3160.063) -- 0:11:40
399000 -- (-3151.250) (-3144.061) [-3148.394] (-3149.483) * (-3146.697) (-3144.148) (-3173.912) [-3148.780] -- 0:11:38
400000 -- (-3140.716) [-3145.353] (-3170.726) (-3160.873) * (-3150.157) [-3139.159] (-3154.624) (-3152.947) -- 0:11:37
Average standard deviation of split frequencies: 0.012044
401000 -- [-3151.540] (-3135.317) (-3157.781) (-3158.082) * (-3146.440) [-3146.932] (-3148.691) (-3152.320) -- 0:11:36
402000 -- (-3166.087) (-3147.646) [-3142.072] (-3158.825) * (-3143.088) (-3126.633) [-3138.126] (-3149.886) -- 0:11:34
403000 -- (-3151.123) [-3142.217] (-3141.325) (-3150.286) * (-3139.355) [-3134.083] (-3140.579) (-3160.212) -- 0:11:33
404000 -- (-3143.274) (-3153.752) [-3135.386] (-3150.616) * (-3153.348) (-3136.488) [-3136.238] (-3155.071) -- 0:11:31
405000 -- (-3149.033) [-3142.253] (-3166.712) (-3148.256) * (-3156.792) [-3138.387] (-3144.809) (-3163.794) -- 0:11:30
Average standard deviation of split frequencies: 0.011978
406000 -- [-3133.062] (-3153.518) (-3157.369) (-3152.329) * (-3168.119) (-3150.870) (-3145.475) [-3147.962] -- 0:11:29
407000 -- (-3137.247) (-3149.330) (-3159.307) [-3135.205] * (-3178.279) (-3154.348) [-3145.851] (-3143.855) -- 0:11:27
408000 -- (-3169.593) (-3143.826) (-3149.707) [-3134.588] * (-3157.981) (-3149.753) [-3152.113] (-3171.290) -- 0:11:26
409000 -- (-3164.529) (-3153.160) (-3144.780) [-3147.617] * (-3152.691) (-3153.604) (-3146.133) [-3148.371] -- 0:11:24
410000 -- (-3154.392) [-3139.761] (-3169.807) (-3138.640) * (-3160.857) (-3166.751) [-3135.011] (-3131.375) -- 0:11:23
Average standard deviation of split frequencies: 0.011872
411000 -- (-3154.444) (-3154.089) (-3147.395) [-3138.744] * [-3130.983] (-3170.378) (-3139.004) (-3149.198) -- 0:11:22
412000 -- (-3162.465) (-3136.787) (-3149.244) [-3150.802] * [-3141.381] (-3162.069) (-3144.033) (-3148.294) -- 0:11:20
413000 -- [-3145.943] (-3156.631) (-3144.709) (-3140.434) * (-3144.078) (-3152.814) (-3139.002) [-3132.276] -- 0:11:19
414000 -- [-3139.514] (-3153.458) (-3153.475) (-3149.692) * [-3144.833] (-3151.227) (-3162.327) (-3151.946) -- 0:11:18
415000 -- (-3158.677) [-3140.325] (-3163.490) (-3150.769) * [-3138.800] (-3145.261) (-3152.963) (-3150.446) -- 0:11:16
Average standard deviation of split frequencies: 0.012048
416000 -- (-3148.541) (-3142.061) (-3152.704) [-3144.700] * [-3153.569] (-3144.811) (-3151.026) (-3155.861) -- 0:11:15
417000 -- (-3133.409) (-3147.751) (-3175.776) [-3147.648] * (-3153.689) [-3151.474] (-3138.249) (-3149.852) -- 0:11:13
418000 -- (-3155.868) [-3146.005] (-3163.554) (-3141.839) * [-3145.492] (-3147.372) (-3139.288) (-3156.442) -- 0:11:12
419000 -- [-3146.671] (-3133.508) (-3160.531) (-3160.025) * (-3150.643) [-3134.482] (-3139.121) (-3163.341) -- 0:11:11
420000 -- (-3146.074) [-3139.560] (-3154.317) (-3165.767) * (-3159.121) [-3152.687] (-3156.804) (-3144.258) -- 0:11:09
Average standard deviation of split frequencies: 0.012386
421000 -- [-3148.840] (-3151.285) (-3178.274) (-3176.211) * (-3150.609) (-3150.986) (-3160.218) [-3135.917] -- 0:11:08
422000 -- (-3149.900) [-3153.318] (-3174.101) (-3152.324) * (-3161.348) [-3153.022] (-3143.457) (-3154.658) -- 0:11:07
423000 -- [-3137.576] (-3167.380) (-3172.133) (-3143.695) * (-3155.871) (-3153.539) (-3131.007) [-3146.506] -- 0:11:05
424000 -- [-3139.511] (-3148.752) (-3162.039) (-3147.555) * (-3167.378) (-3138.181) [-3136.794] (-3154.556) -- 0:11:04
425000 -- [-3136.063] (-3168.241) (-3151.741) (-3143.425) * [-3156.857] (-3151.755) (-3140.147) (-3157.334) -- 0:11:02
Average standard deviation of split frequencies: 0.012114
426000 -- (-3167.373) (-3148.201) [-3145.943] (-3139.737) * (-3150.910) [-3138.087] (-3154.020) (-3151.042) -- 0:11:01
427000 -- (-3154.860) [-3145.154] (-3157.226) (-3146.275) * (-3149.940) [-3139.174] (-3152.478) (-3161.424) -- 0:11:00
428000 -- (-3160.196) (-3145.909) (-3146.594) [-3137.692] * (-3140.884) [-3141.965] (-3160.503) (-3163.171) -- 0:10:58
429000 -- (-3157.493) (-3161.580) [-3134.728] (-3163.491) * (-3165.841) [-3142.189] (-3157.285) (-3150.261) -- 0:10:57
430000 -- (-3142.898) (-3161.763) (-3156.074) [-3143.277] * (-3167.971) (-3145.296) [-3140.785] (-3143.824) -- 0:10:56
Average standard deviation of split frequencies: 0.011608
431000 -- (-3141.440) (-3155.877) (-3148.434) [-3144.466] * (-3160.273) (-3155.145) [-3147.889] (-3144.595) -- 0:10:54
432000 -- (-3143.756) (-3147.691) (-3151.338) [-3147.458] * (-3141.655) [-3146.603] (-3151.223) (-3143.880) -- 0:10:53
433000 -- (-3145.943) (-3147.832) [-3157.608] (-3151.488) * (-3152.759) [-3143.288] (-3154.821) (-3143.562) -- 0:10:52
434000 -- (-3153.029) (-3149.423) [-3142.817] (-3155.540) * [-3142.577] (-3143.368) (-3153.727) (-3166.492) -- 0:10:50
435000 -- [-3141.832] (-3153.310) (-3159.248) (-3146.554) * (-3145.538) (-3145.357) [-3143.674] (-3158.446) -- 0:10:49
Average standard deviation of split frequencies: 0.011637
436000 -- [-3139.998] (-3151.934) (-3161.190) (-3148.608) * (-3154.213) [-3145.535] (-3147.713) (-3148.619) -- 0:10:48
437000 -- (-3158.300) (-3154.276) [-3147.263] (-3154.108) * (-3151.885) (-3146.570) [-3138.551] (-3145.868) -- 0:10:46
438000 -- [-3151.885] (-3143.970) (-3142.166) (-3148.472) * [-3138.814] (-3164.623) (-3150.768) (-3159.937) -- 0:10:45
439000 -- [-3139.251] (-3159.032) (-3155.503) (-3165.145) * [-3143.373] (-3143.505) (-3146.757) (-3147.758) -- 0:10:44
440000 -- (-3145.497) (-3145.884) [-3144.544] (-3161.392) * (-3156.142) (-3136.479) (-3138.404) [-3142.377] -- 0:10:42
Average standard deviation of split frequencies: 0.012218
441000 -- (-3151.951) [-3143.177] (-3139.073) (-3151.640) * [-3147.028] (-3150.425) (-3142.314) (-3149.131) -- 0:10:41
442000 -- [-3145.061] (-3144.169) (-3167.122) (-3141.603) * [-3134.190] (-3143.430) (-3145.756) (-3136.854) -- 0:10:40
443000 -- (-3144.002) (-3141.668) (-3164.106) [-3138.007] * (-3142.749) (-3130.371) (-3137.284) [-3155.153] -- 0:10:38
444000 -- (-3147.331) [-3144.106] (-3154.438) (-3147.142) * (-3154.875) (-3151.597) (-3152.412) [-3140.040] -- 0:10:37
445000 -- [-3137.773] (-3169.116) (-3157.277) (-3153.004) * [-3151.038] (-3141.503) (-3157.556) (-3146.671) -- 0:10:36
Average standard deviation of split frequencies: 0.011682
446000 -- [-3142.865] (-3141.336) (-3143.351) (-3152.857) * (-3172.399) [-3139.270] (-3151.085) (-3148.866) -- 0:10:34
447000 -- (-3148.453) (-3142.874) [-3130.355] (-3148.541) * (-3150.048) (-3144.581) (-3172.930) [-3133.947] -- 0:10:33
448000 -- (-3160.286) (-3149.898) [-3143.118] (-3163.662) * (-3155.473) [-3141.805] (-3168.445) (-3143.233) -- 0:10:32
449000 -- [-3144.753] (-3155.284) (-3157.737) (-3148.588) * (-3156.783) [-3141.182] (-3156.143) (-3136.449) -- 0:10:30
450000 -- (-3137.877) (-3172.121) (-3143.063) [-3136.321] * (-3153.798) (-3153.651) (-3167.866) [-3141.697] -- 0:10:29
Average standard deviation of split frequencies: 0.011176
451000 -- (-3148.622) (-3161.439) (-3137.870) [-3140.285] * (-3135.407) [-3143.468] (-3166.136) (-3150.977) -- 0:10:28
452000 -- (-3158.692) (-3162.230) [-3132.191] (-3150.522) * (-3141.033) (-3142.786) (-3170.689) [-3145.507] -- 0:10:26
453000 -- (-3151.019) (-3153.319) (-3147.606) [-3141.095] * (-3134.420) [-3138.075] (-3155.579) (-3156.652) -- 0:10:25
454000 -- (-3150.764) (-3151.865) (-3167.026) [-3138.869] * (-3162.837) [-3143.531] (-3151.773) (-3148.506) -- 0:10:24
455000 -- (-3143.392) (-3151.416) (-3159.136) [-3146.004] * (-3158.701) [-3128.747] (-3153.447) (-3152.069) -- 0:10:22
Average standard deviation of split frequencies: 0.010637
456000 -- [-3128.768] (-3153.853) (-3151.069) (-3131.768) * (-3175.612) [-3154.446] (-3162.969) (-3146.564) -- 0:10:21
457000 -- (-3154.254) (-3151.558) (-3143.828) [-3144.708] * (-3169.832) [-3150.952] (-3183.834) (-3151.436) -- 0:10:20
458000 -- (-3148.675) (-3161.001) [-3141.479] (-3150.975) * (-3144.991) [-3137.967] (-3154.580) (-3148.168) -- 0:10:18
459000 -- (-3158.444) (-3146.679) (-3160.962) [-3143.594] * [-3130.762] (-3152.474) (-3151.293) (-3148.560) -- 0:10:17
460000 -- [-3141.170] (-3142.273) (-3140.556) (-3150.676) * (-3144.606) (-3158.171) (-3143.870) [-3151.197] -- 0:10:16
Average standard deviation of split frequencies: 0.011903
461000 -- (-3134.744) [-3144.928] (-3150.832) (-3156.510) * (-3157.002) (-3150.650) (-3145.829) [-3141.990] -- 0:10:14
462000 -- (-3161.630) (-3152.986) (-3164.168) [-3160.436] * (-3157.391) (-3162.125) (-3147.537) [-3139.923] -- 0:10:13
463000 -- (-3154.148) [-3142.093] (-3153.789) (-3150.752) * [-3140.795] (-3157.926) (-3175.955) (-3140.198) -- 0:10:12
464000 -- [-3132.707] (-3147.138) (-3154.064) (-3155.472) * (-3150.797) (-3155.245) (-3149.441) [-3141.320] -- 0:10:11
465000 -- (-3162.852) [-3142.338] (-3142.879) (-3138.518) * (-3139.449) (-3152.411) (-3157.241) [-3152.329] -- 0:10:09
Average standard deviation of split frequencies: 0.011953
466000 -- (-3166.798) (-3135.310) [-3149.312] (-3147.633) * (-3148.989) [-3157.730] (-3165.351) (-3156.375) -- 0:10:08
467000 -- (-3143.914) (-3142.983) (-3149.349) [-3135.175] * (-3150.607) [-3143.525] (-3145.275) (-3158.200) -- 0:10:07
468000 -- [-3144.263] (-3159.919) (-3147.667) (-3170.774) * (-3159.203) (-3145.922) (-3153.046) [-3149.985] -- 0:10:05
469000 -- (-3140.086) (-3163.226) [-3142.231] (-3152.137) * (-3151.262) (-3149.311) [-3131.169] (-3153.327) -- 0:10:04
470000 -- (-3146.120) (-3150.068) (-3157.769) [-3132.123] * (-3142.729) (-3167.791) [-3145.653] (-3152.581) -- 0:10:03
Average standard deviation of split frequencies: 0.011096
471000 -- (-3178.567) [-3149.746] (-3148.278) (-3151.784) * (-3140.050) (-3156.683) (-3143.408) [-3149.257] -- 0:10:02
472000 -- (-3165.870) (-3143.528) (-3147.517) [-3139.819] * (-3142.182) (-3155.997) [-3133.969] (-3162.412) -- 0:10:00
473000 -- (-3153.726) [-3136.228] (-3139.877) (-3158.223) * (-3156.890) [-3143.265] (-3152.526) (-3162.449) -- 0:09:59
474000 -- (-3153.197) [-3142.346] (-3144.994) (-3165.003) * (-3163.597) [-3135.796] (-3153.243) (-3162.663) -- 0:09:58
475000 -- (-3174.438) (-3138.371) [-3132.675] (-3153.317) * [-3138.431] (-3137.631) (-3156.455) (-3151.572) -- 0:09:56
Average standard deviation of split frequencies: 0.010946
476000 -- (-3166.543) (-3144.520) [-3144.270] (-3159.589) * (-3162.996) (-3145.590) [-3149.137] (-3150.969) -- 0:09:55
477000 -- (-3149.162) (-3148.014) [-3142.615] (-3142.840) * (-3150.450) (-3142.145) [-3140.802] (-3154.504) -- 0:09:54
478000 -- (-3140.336) (-3152.786) (-3142.416) [-3150.671] * (-3157.306) (-3144.975) (-3158.419) [-3145.564] -- 0:09:52
479000 -- (-3160.714) [-3139.177] (-3164.988) (-3137.467) * (-3151.623) [-3141.012] (-3148.280) (-3153.878) -- 0:09:51
480000 -- (-3148.713) (-3143.019) [-3143.100] (-3153.732) * (-3152.738) (-3158.109) [-3140.461] (-3147.787) -- 0:09:50
Average standard deviation of split frequencies: 0.010246
481000 -- (-3143.267) [-3133.172] (-3143.785) (-3151.487) * (-3139.804) (-3162.012) (-3146.278) [-3142.303] -- 0:09:49
482000 -- (-3152.530) [-3139.674] (-3150.691) (-3140.686) * (-3169.793) (-3148.678) [-3137.784] (-3145.893) -- 0:09:47
483000 -- [-3131.278] (-3154.757) (-3146.548) (-3151.415) * (-3141.775) (-3151.148) [-3136.683] (-3151.673) -- 0:09:46
484000 -- (-3139.343) (-3148.194) [-3142.375] (-3158.241) * [-3136.443] (-3157.511) (-3159.084) (-3140.524) -- 0:09:45
485000 -- (-3140.199) (-3154.427) (-3137.119) [-3138.902] * (-3139.261) (-3150.753) (-3164.014) [-3137.371] -- 0:09:44
Average standard deviation of split frequencies: 0.009572
486000 -- (-3151.672) [-3138.896] (-3144.790) (-3149.146) * (-3136.174) (-3150.264) (-3156.702) [-3152.410] -- 0:09:42
487000 -- (-3156.821) [-3140.418] (-3149.671) (-3143.973) * (-3145.606) (-3176.638) (-3155.386) [-3140.642] -- 0:09:41
488000 -- (-3169.723) [-3138.740] (-3143.728) (-3134.490) * (-3153.356) (-3165.845) (-3169.949) [-3135.602] -- 0:09:40
489000 -- (-3157.808) [-3151.796] (-3141.166) (-3151.128) * (-3143.137) (-3159.318) (-3152.547) [-3149.507] -- 0:09:38
490000 -- (-3155.899) [-3148.803] (-3166.056) (-3141.487) * (-3150.463) [-3158.329] (-3155.956) (-3161.995) -- 0:09:37
Average standard deviation of split frequencies: 0.009228
491000 -- (-3146.055) (-3157.578) [-3147.457] (-3166.900) * (-3135.126) (-3157.483) (-3159.446) [-3143.288] -- 0:09:36
492000 -- (-3166.829) (-3149.005) [-3140.779] (-3150.350) * (-3148.736) (-3140.058) (-3165.278) [-3140.069] -- 0:09:35
493000 -- (-3154.321) [-3144.955] (-3157.714) (-3141.513) * (-3150.800) (-3144.218) [-3137.635] (-3172.377) -- 0:09:33
494000 -- (-3169.843) (-3153.753) (-3144.600) [-3135.007] * (-3151.428) (-3152.620) [-3136.049] (-3148.616) -- 0:09:32
495000 -- (-3152.595) (-3149.340) (-3146.899) [-3149.166] * (-3143.226) (-3145.726) [-3140.522] (-3157.831) -- 0:09:31
Average standard deviation of split frequencies: 0.008379
496000 -- [-3146.865] (-3163.334) (-3142.940) (-3162.043) * [-3143.815] (-3138.169) (-3159.194) (-3149.628) -- 0:09:30
497000 -- (-3164.179) (-3152.860) [-3152.636] (-3165.623) * (-3147.853) (-3154.134) [-3137.047] (-3160.639) -- 0:09:28
498000 -- [-3136.124] (-3167.448) (-3148.351) (-3141.630) * [-3137.877] (-3156.461) (-3149.056) (-3176.291) -- 0:09:27
499000 -- (-3166.353) (-3157.544) (-3132.234) [-3133.766] * [-3139.420] (-3149.753) (-3142.046) (-3164.345) -- 0:09:26
500000 -- (-3158.984) (-3159.619) (-3138.523) [-3146.523] * (-3150.158) (-3138.341) [-3134.449] (-3149.733) -- 0:09:25
Average standard deviation of split frequencies: 0.008548
501000 -- [-3152.072] (-3182.400) (-3148.539) (-3145.223) * (-3150.729) (-3139.640) [-3142.622] (-3152.168) -- 0:09:23
502000 -- (-3153.053) (-3150.953) [-3148.345] (-3160.254) * (-3158.505) (-3156.456) [-3142.659] (-3173.871) -- 0:09:22
503000 -- (-3134.442) [-3139.344] (-3156.559) (-3163.085) * (-3152.525) (-3154.184) [-3139.451] (-3157.121) -- 0:09:21
504000 -- (-3134.679) (-3148.156) [-3144.018] (-3166.943) * (-3152.363) (-3143.853) [-3135.391] (-3161.222) -- 0:09:19
505000 -- (-3165.878) (-3154.808) [-3130.157] (-3161.743) * (-3143.813) (-3156.027) (-3137.114) [-3147.901] -- 0:09:18
Average standard deviation of split frequencies: 0.008801
506000 -- (-3162.625) [-3135.081] (-3137.014) (-3170.091) * (-3155.451) [-3139.207] (-3133.959) (-3147.085) -- 0:09:17
507000 -- (-3166.608) [-3136.922] (-3148.227) (-3170.306) * (-3153.029) (-3145.703) [-3144.134] (-3139.723) -- 0:09:16
508000 -- (-3157.897) (-3148.593) [-3140.581] (-3154.113) * (-3154.613) (-3154.052) (-3153.536) [-3143.646] -- 0:09:14
509000 -- (-3151.273) (-3157.760) [-3130.093] (-3140.482) * (-3158.527) [-3142.629] (-3139.348) (-3153.876) -- 0:09:13
510000 -- [-3138.944] (-3163.727) (-3140.394) (-3159.164) * (-3157.343) [-3146.280] (-3147.223) (-3152.779) -- 0:09:12
Average standard deviation of split frequencies: 0.009523
511000 -- (-3171.425) [-3149.404] (-3147.994) (-3157.507) * (-3154.800) (-3139.930) (-3149.603) [-3141.499] -- 0:09:11
512000 -- (-3167.530) (-3165.669) [-3144.716] (-3141.381) * [-3134.449] (-3146.661) (-3161.739) (-3152.635) -- 0:09:09
513000 -- (-3160.361) (-3150.600) [-3144.478] (-3137.726) * (-3139.742) (-3148.942) [-3144.148] (-3162.462) -- 0:09:08
514000 -- (-3150.251) [-3140.931] (-3146.647) (-3161.011) * (-3147.753) [-3149.218] (-3151.056) (-3143.448) -- 0:09:07
515000 -- (-3148.920) [-3142.816] (-3154.280) (-3147.530) * [-3139.085] (-3146.430) (-3154.438) (-3151.710) -- 0:09:06
Average standard deviation of split frequencies: 0.009689
516000 -- (-3142.905) [-3136.303] (-3160.716) (-3158.900) * [-3139.488] (-3150.169) (-3140.472) (-3156.761) -- 0:09:04
517000 -- (-3152.999) (-3140.523) (-3154.696) [-3150.012] * (-3144.976) (-3162.142) [-3133.624] (-3153.012) -- 0:09:03
518000 -- (-3139.271) (-3145.977) [-3141.213] (-3165.186) * (-3143.380) (-3157.560) [-3140.969] (-3162.722) -- 0:09:02
519000 -- [-3138.360] (-3144.707) (-3156.143) (-3158.784) * [-3152.083] (-3162.117) (-3150.355) (-3168.883) -- 0:09:01
520000 -- [-3154.385] (-3162.435) (-3153.021) (-3156.390) * (-3153.983) (-3154.342) [-3140.666] (-3132.584) -- 0:09:00
Average standard deviation of split frequencies: 0.009387
521000 -- (-3153.575) [-3148.071] (-3136.418) (-3167.932) * [-3142.708] (-3165.049) (-3161.936) (-3142.165) -- 0:08:58
522000 -- (-3163.257) [-3150.139] (-3162.823) (-3149.702) * (-3158.380) (-3141.237) (-3152.945) [-3146.145] -- 0:08:57
523000 -- (-3154.708) (-3164.212) [-3135.861] (-3150.818) * [-3140.177] (-3143.490) (-3155.835) (-3151.373) -- 0:08:56
524000 -- [-3139.481] (-3143.122) (-3140.281) (-3143.103) * [-3155.529] (-3150.055) (-3157.393) (-3149.807) -- 0:08:55
525000 -- (-3155.051) (-3147.525) [-3134.457] (-3153.812) * (-3143.383) (-3175.671) [-3141.383] (-3151.922) -- 0:08:53
Average standard deviation of split frequencies: 0.009033
526000 -- (-3143.126) (-3143.074) (-3158.266) [-3130.049] * (-3156.913) (-3149.384) [-3136.472] (-3151.583) -- 0:08:52
527000 -- (-3161.680) (-3169.270) (-3144.584) [-3134.299] * (-3143.303) [-3137.511] (-3140.161) (-3147.050) -- 0:08:51
528000 -- (-3162.913) (-3140.273) (-3143.507) [-3140.174] * (-3146.593) [-3142.856] (-3126.486) (-3150.888) -- 0:08:50
529000 -- (-3146.229) (-3148.738) (-3163.264) [-3137.520] * (-3152.372) (-3164.995) [-3143.520] (-3139.187) -- 0:08:48
530000 -- (-3150.066) (-3143.263) [-3151.633] (-3148.039) * (-3156.708) (-3159.982) (-3146.671) [-3140.282] -- 0:08:47
Average standard deviation of split frequencies: 0.009561
531000 -- [-3132.160] (-3149.272) (-3146.616) (-3134.114) * (-3151.504) [-3155.361] (-3146.236) (-3149.600) -- 0:08:46
532000 -- [-3130.530] (-3140.493) (-3158.936) (-3145.020) * [-3125.968] (-3138.035) (-3132.503) (-3158.626) -- 0:08:45
533000 -- (-3147.569) [-3136.880] (-3160.562) (-3156.920) * (-3137.978) (-3159.462) [-3141.780] (-3143.441) -- 0:08:43
534000 -- (-3152.304) [-3150.674] (-3153.199) (-3146.644) * [-3137.934] (-3145.836) (-3159.000) (-3145.842) -- 0:08:42
535000 -- [-3141.859] (-3154.899) (-3148.407) (-3157.131) * [-3149.828] (-3165.628) (-3157.775) (-3158.311) -- 0:08:41
Average standard deviation of split frequencies: 0.010230
536000 -- (-3152.200) (-3154.323) [-3133.780] (-3149.106) * (-3161.263) (-3151.170) (-3140.067) [-3146.913] -- 0:08:40
537000 -- [-3138.954] (-3135.275) (-3147.256) (-3158.577) * (-3135.951) (-3160.489) (-3147.028) [-3134.855] -- 0:08:39
538000 -- (-3149.562) (-3146.361) [-3139.958] (-3147.976) * (-3148.894) (-3147.340) [-3145.958] (-3159.320) -- 0:08:37
539000 -- (-3149.674) (-3142.718) (-3155.151) [-3145.995] * [-3140.047] (-3143.035) (-3158.854) (-3158.018) -- 0:08:36
540000 -- (-3163.327) (-3150.689) [-3134.372] (-3150.380) * [-3142.250] (-3143.615) (-3154.566) (-3172.597) -- 0:08:35
Average standard deviation of split frequencies: 0.010486
541000 -- [-3142.591] (-3143.461) (-3141.087) (-3153.440) * (-3148.590) (-3154.667) [-3140.157] (-3155.421) -- 0:08:34
542000 -- (-3146.218) [-3137.454] (-3134.285) (-3149.263) * (-3155.431) [-3136.783] (-3149.389) (-3157.991) -- 0:08:33
543000 -- (-3139.218) [-3140.323] (-3150.017) (-3145.866) * (-3179.265) [-3139.919] (-3140.695) (-3145.550) -- 0:08:32
544000 -- (-3150.801) (-3153.881) [-3150.057] (-3176.683) * (-3176.989) (-3159.368) [-3152.167] (-3151.944) -- 0:08:31
545000 -- (-3158.777) (-3144.120) (-3168.411) [-3149.699] * (-3149.834) [-3141.032] (-3149.316) (-3163.481) -- 0:08:30
Average standard deviation of split frequencies: 0.010588
546000 -- (-3152.704) (-3149.933) (-3145.590) [-3156.485] * (-3157.521) (-3148.135) [-3133.578] (-3147.822) -- 0:08:28
547000 -- (-3153.653) (-3147.225) (-3157.322) [-3144.209] * [-3151.057] (-3164.931) (-3142.710) (-3140.535) -- 0:08:27
548000 -- (-3147.023) (-3142.013) [-3150.049] (-3149.676) * (-3158.215) (-3151.552) [-3128.523] (-3146.755) -- 0:08:27
549000 -- (-3140.071) [-3141.305] (-3132.505) (-3168.427) * (-3162.993) (-3139.040) [-3135.751] (-3145.804) -- 0:08:26
550000 -- (-3144.723) (-3158.230) (-3136.949) [-3142.695] * (-3155.180) [-3143.557] (-3157.402) (-3149.624) -- 0:08:25
Average standard deviation of split frequencies: 0.010228
551000 -- (-3150.480) (-3168.404) (-3159.287) [-3141.043] * [-3154.623] (-3139.656) (-3147.511) (-3145.924) -- 0:08:25
552000 -- (-3163.340) (-3151.312) [-3138.512] (-3139.927) * (-3140.360) [-3133.584] (-3159.502) (-3135.994) -- 0:08:23
553000 -- (-3156.925) (-3153.920) (-3137.639) [-3138.793] * [-3139.620] (-3137.597) (-3164.881) (-3166.633) -- 0:08:23
554000 -- (-3157.272) (-3149.903) [-3146.876] (-3154.761) * [-3149.622] (-3146.662) (-3138.305) (-3175.710) -- 0:08:22
555000 -- (-3157.462) [-3141.685] (-3153.074) (-3154.568) * (-3150.922) (-3142.509) [-3145.309] (-3145.256) -- 0:08:21
Average standard deviation of split frequencies: 0.010263
556000 -- (-3142.249) (-3172.856) (-3145.336) [-3145.141] * [-3151.947] (-3143.250) (-3146.467) (-3147.977) -- 0:08:20
557000 -- [-3150.839] (-3159.899) (-3154.321) (-3150.498) * (-3159.821) (-3155.152) [-3150.134] (-3153.493) -- 0:08:20
558000 -- [-3157.380] (-3147.400) (-3151.590) (-3145.704) * (-3164.484) (-3174.340) (-3138.084) [-3145.720] -- 0:08:19
559000 -- (-3145.073) [-3138.474] (-3146.138) (-3142.961) * (-3162.743) (-3152.806) (-3150.603) [-3147.950] -- 0:08:18
560000 -- [-3147.691] (-3148.971) (-3152.580) (-3171.128) * [-3145.623] (-3157.012) (-3147.748) (-3156.888) -- 0:08:18
Average standard deviation of split frequencies: 0.010333
561000 -- (-3150.078) [-3141.189] (-3144.946) (-3144.862) * [-3146.534] (-3166.640) (-3168.055) (-3161.889) -- 0:08:16
562000 -- (-3171.457) [-3151.099] (-3148.021) (-3161.574) * [-3145.363] (-3142.479) (-3156.288) (-3140.542) -- 0:08:16
563000 -- (-3153.369) [-3138.311] (-3156.537) (-3162.345) * (-3150.406) [-3121.224] (-3170.143) (-3161.604) -- 0:08:15
564000 -- (-3134.785) [-3140.515] (-3153.559) (-3164.223) * (-3148.989) [-3151.513] (-3154.266) (-3155.349) -- 0:08:14
565000 -- [-3143.937] (-3146.278) (-3157.865) (-3155.931) * (-3156.350) [-3138.391] (-3148.205) (-3163.449) -- 0:08:14
Average standard deviation of split frequencies: 0.010301
566000 -- [-3139.690] (-3151.164) (-3163.882) (-3146.166) * [-3141.162] (-3156.759) (-3147.790) (-3169.185) -- 0:08:13
567000 -- (-3146.634) [-3138.542] (-3159.792) (-3151.593) * (-3130.943) (-3157.616) [-3139.560] (-3148.036) -- 0:08:12
568000 -- (-3159.213) [-3150.560] (-3154.937) (-3154.559) * [-3152.175] (-3146.246) (-3159.347) (-3165.850) -- 0:08:12
569000 -- (-3148.949) (-3156.848) (-3144.252) [-3149.930] * (-3150.025) [-3141.560] (-3136.949) (-3155.187) -- 0:08:10
570000 -- (-3142.013) (-3143.417) (-3158.141) [-3140.422] * (-3150.158) (-3163.515) (-3147.673) [-3140.495] -- 0:08:10
Average standard deviation of split frequencies: 0.009761
571000 -- (-3145.844) [-3148.342] (-3156.796) (-3151.220) * (-3154.987) (-3153.411) (-3148.948) [-3128.457] -- 0:08:09
572000 -- (-3156.808) [-3143.907] (-3140.808) (-3159.715) * (-3145.030) (-3157.419) (-3162.480) [-3145.456] -- 0:08:08
573000 -- (-3156.724) (-3146.554) [-3143.583] (-3168.774) * (-3131.755) [-3143.235] (-3150.199) (-3146.503) -- 0:08:08
574000 -- (-3140.427) [-3145.042] (-3149.909) (-3157.530) * (-3150.825) [-3150.980] (-3158.992) (-3152.661) -- 0:08:06
575000 -- (-3142.145) [-3144.323] (-3162.337) (-3168.134) * (-3144.418) [-3139.484] (-3157.925) (-3136.586) -- 0:08:06
Average standard deviation of split frequencies: 0.009670
576000 -- (-3155.736) (-3147.177) (-3153.339) [-3133.091] * (-3149.273) (-3157.562) [-3159.752] (-3138.151) -- 0:08:05
577000 -- (-3156.550) (-3163.039) [-3138.593] (-3142.651) * [-3135.256] (-3172.761) (-3164.618) (-3131.906) -- 0:08:04
578000 -- (-3152.528) (-3145.807) (-3160.906) [-3146.020] * (-3147.366) (-3143.120) [-3136.687] (-3151.420) -- 0:08:04
579000 -- (-3159.932) [-3139.224] (-3181.459) (-3147.599) * (-3152.928) (-3155.289) [-3141.280] (-3142.959) -- 0:08:02
580000 -- (-3149.003) (-3154.343) (-3161.728) [-3144.874] * (-3157.257) (-3140.831) (-3139.880) [-3138.902] -- 0:08:02
Average standard deviation of split frequencies: 0.009592
581000 -- (-3150.390) (-3175.855) (-3144.950) [-3143.071] * [-3147.135] (-3156.757) (-3145.720) (-3162.196) -- 0:08:01
582000 -- [-3147.504] (-3170.207) (-3162.833) (-3143.987) * (-3168.419) [-3136.715] (-3152.482) (-3159.131) -- 0:08:00
583000 -- (-3156.531) (-3171.000) (-3160.004) [-3143.717] * (-3147.309) (-3171.560) [-3149.012] (-3145.224) -- 0:07:59
584000 -- (-3156.229) (-3167.466) (-3153.857) [-3131.039] * (-3146.363) (-3159.802) [-3137.100] (-3161.062) -- 0:07:58
585000 -- (-3167.482) (-3155.438) [-3147.893] (-3146.647) * [-3139.593] (-3163.651) (-3151.979) (-3164.037) -- 0:07:57
Average standard deviation of split frequencies: 0.009357
586000 -- (-3141.427) (-3144.821) [-3129.758] (-3149.502) * [-3138.498] (-3169.723) (-3143.446) (-3140.223) -- 0:07:56
587000 -- [-3149.702] (-3155.806) (-3137.765) (-3155.149) * (-3152.326) (-3140.895) (-3136.068) [-3142.685] -- 0:07:55
588000 -- (-3163.006) (-3148.281) [-3148.955] (-3147.734) * [-3165.884] (-3149.888) (-3161.826) (-3150.416) -- 0:07:54
589000 -- (-3162.093) (-3147.176) [-3140.895] (-3137.495) * [-3143.976] (-3159.355) (-3162.957) (-3156.986) -- 0:07:53
590000 -- (-3139.217) (-3150.481) [-3138.303] (-3144.085) * [-3135.981] (-3142.489) (-3148.730) (-3155.705) -- 0:07:51
Average standard deviation of split frequencies: 0.009409
591000 -- (-3143.217) (-3140.525) [-3141.093] (-3163.783) * (-3156.566) (-3136.128) (-3169.215) [-3150.315] -- 0:07:50
592000 -- (-3174.348) (-3151.589) (-3139.575) [-3140.572] * (-3132.623) (-3150.047) (-3166.136) [-3145.378] -- 0:07:49
593000 -- (-3151.519) (-3155.468) (-3157.967) [-3146.461] * (-3151.826) (-3168.243) (-3183.981) [-3139.983] -- 0:07:48
594000 -- (-3156.862) (-3135.241) (-3159.551) [-3149.208] * [-3134.473] (-3158.292) (-3150.905) (-3147.779) -- 0:07:46
595000 -- (-3157.023) [-3141.194] (-3183.906) (-3148.677) * [-3153.511] (-3167.286) (-3144.833) (-3147.456) -- 0:07:45
Average standard deviation of split frequencies: 0.008971
596000 -- (-3155.649) (-3143.195) [-3138.513] (-3155.297) * (-3153.594) (-3154.671) [-3145.986] (-3152.695) -- 0:07:44
597000 -- (-3175.730) (-3148.807) [-3142.883] (-3153.432) * (-3158.390) (-3145.874) [-3133.837] (-3150.177) -- 0:07:43
598000 -- (-3150.733) (-3145.950) [-3141.110] (-3172.727) * (-3154.866) (-3139.084) [-3128.490] (-3155.694) -- 0:07:41
599000 -- (-3143.203) (-3149.245) (-3154.102) [-3157.433] * (-3162.951) (-3146.584) (-3144.621) [-3143.690] -- 0:07:40
600000 -- (-3152.585) (-3183.445) [-3162.832] (-3154.202) * (-3140.819) (-3154.435) [-3145.319] (-3139.280) -- 0:07:39
Average standard deviation of split frequencies: 0.009025
601000 -- (-3153.366) (-3163.462) (-3166.427) [-3144.049] * (-3154.609) (-3147.568) [-3139.446] (-3143.972) -- 0:07:38
602000 -- [-3144.489] (-3142.845) (-3166.899) (-3150.176) * (-3143.011) (-3154.494) [-3141.398] (-3138.438) -- 0:07:36
603000 -- (-3148.525) (-3151.062) (-3146.560) [-3143.076] * (-3132.999) (-3167.330) (-3151.563) [-3141.056] -- 0:07:35
604000 -- (-3154.613) (-3149.642) [-3143.855] (-3151.762) * (-3165.291) (-3165.959) [-3142.878] (-3143.703) -- 0:07:34
605000 -- (-3152.783) (-3155.907) [-3149.374] (-3139.215) * (-3141.375) (-3157.807) (-3156.646) [-3149.169] -- 0:07:33
Average standard deviation of split frequencies: 0.009785
606000 -- (-3149.795) (-3166.096) (-3145.020) [-3137.250] * [-3134.344] (-3156.343) (-3138.493) (-3154.948) -- 0:07:31
607000 -- [-3161.574] (-3153.700) (-3141.190) (-3138.994) * (-3134.681) (-3143.128) [-3144.780] (-3158.004) -- 0:07:30
608000 -- [-3131.805] (-3152.656) (-3144.135) (-3144.348) * (-3135.677) (-3150.538) [-3141.864] (-3148.071) -- 0:07:29
609000 -- (-3137.603) [-3146.290] (-3169.319) (-3137.920) * (-3170.730) (-3151.792) [-3146.649] (-3137.490) -- 0:07:28
610000 -- (-3161.697) [-3138.711] (-3148.188) (-3137.618) * (-3153.520) (-3144.134) (-3150.074) [-3138.438] -- 0:07:26
Average standard deviation of split frequencies: 0.009974
611000 -- (-3167.560) [-3147.567] (-3148.112) (-3153.934) * [-3141.409] (-3145.616) (-3156.709) (-3133.444) -- 0:07:25
612000 -- (-3167.118) (-3154.169) (-3150.902) [-3143.859] * [-3139.367] (-3151.270) (-3157.509) (-3148.003) -- 0:07:24
613000 -- (-3153.149) (-3151.009) (-3150.690) [-3142.893] * (-3155.112) (-3158.658) (-3152.622) [-3144.619] -- 0:07:23
614000 -- [-3144.650] (-3156.764) (-3154.395) (-3142.297) * (-3156.385) (-3162.390) [-3138.525] (-3146.862) -- 0:07:21
615000 -- (-3140.015) [-3134.819] (-3144.725) (-3154.440) * (-3144.842) (-3151.293) (-3134.383) [-3152.273] -- 0:07:21
Average standard deviation of split frequencies: 0.009787
616000 -- [-3142.950] (-3146.687) (-3161.810) (-3145.221) * [-3147.214] (-3146.540) (-3165.940) (-3137.131) -- 0:07:20
617000 -- (-3148.806) (-3135.582) (-3168.064) [-3139.382] * [-3143.080] (-3158.528) (-3147.995) (-3150.312) -- 0:07:19
618000 -- (-3147.422) [-3133.199] (-3156.438) (-3160.182) * [-3141.275] (-3162.387) (-3136.503) (-3157.698) -- 0:07:18
619000 -- (-3141.302) [-3134.553] (-3173.563) (-3141.152) * (-3131.424) (-3159.323) [-3152.771] (-3161.170) -- 0:07:17
620000 -- [-3147.146] (-3141.338) (-3176.187) (-3145.137) * [-3135.782] (-3147.769) (-3168.715) (-3161.480) -- 0:07:17
Average standard deviation of split frequencies: 0.009414
621000 -- (-3146.436) [-3133.248] (-3167.008) (-3152.338) * [-3141.976] (-3153.236) (-3163.249) (-3149.219) -- 0:07:15
622000 -- (-3151.490) [-3137.977] (-3147.597) (-3156.606) * [-3145.429] (-3157.350) (-3159.137) (-3140.765) -- 0:07:15
623000 -- (-3159.424) [-3143.813] (-3142.332) (-3148.473) * (-3141.697) (-3145.605) (-3145.123) [-3135.833] -- 0:07:13
624000 -- (-3162.378) [-3143.148] (-3144.037) (-3157.396) * [-3146.387] (-3154.897) (-3151.706) (-3151.970) -- 0:07:13
625000 -- (-3161.064) [-3150.267] (-3158.386) (-3148.401) * (-3153.058) (-3148.448) [-3147.272] (-3159.234) -- 0:07:12
Average standard deviation of split frequencies: 0.009492
626000 -- (-3157.819) (-3156.690) [-3144.261] (-3159.379) * [-3144.820] (-3152.178) (-3168.079) (-3141.968) -- 0:07:11
627000 -- [-3157.484] (-3162.238) (-3157.151) (-3153.291) * (-3156.009) (-3138.820) [-3140.217] (-3160.946) -- 0:07:10
628000 -- (-3148.314) (-3161.617) (-3159.167) [-3138.312] * (-3160.620) (-3155.111) [-3145.389] (-3155.151) -- 0:07:10
629000 -- (-3146.840) (-3149.985) (-3178.017) [-3143.748] * (-3160.180) (-3155.347) (-3171.228) [-3139.425] -- 0:07:08
630000 -- (-3148.541) [-3136.336] (-3171.432) (-3151.131) * (-3161.931) (-3143.129) (-3148.801) [-3140.837] -- 0:07:08
Average standard deviation of split frequencies: 0.008871
631000 -- (-3140.346) [-3155.924] (-3156.486) (-3146.746) * (-3165.888) (-3148.298) [-3159.288] (-3159.821) -- 0:07:06
632000 -- (-3143.536) [-3144.387] (-3159.897) (-3151.650) * (-3162.365) (-3141.653) [-3157.448] (-3152.538) -- 0:07:06
633000 -- (-3150.238) [-3142.307] (-3143.732) (-3152.234) * (-3145.286) (-3147.453) [-3135.671] (-3156.869) -- 0:07:05
634000 -- (-3148.311) [-3156.742] (-3171.723) (-3141.681) * (-3173.578) (-3157.007) (-3144.725) [-3143.304] -- 0:07:04
635000 -- (-3153.370) (-3138.426) [-3150.107] (-3158.410) * (-3153.273) [-3149.685] (-3147.967) (-3155.999) -- 0:07:03
Average standard deviation of split frequencies: 0.008699
636000 -- (-3155.949) (-3153.087) (-3154.113) [-3143.066] * (-3148.177) (-3160.732) [-3146.710] (-3149.867) -- 0:07:02
637000 -- (-3154.791) [-3141.881] (-3142.875) (-3136.646) * (-3151.786) (-3154.310) (-3144.024) [-3161.123] -- 0:07:01
638000 -- (-3163.693) (-3144.174) (-3155.379) [-3140.785] * (-3163.894) (-3154.652) [-3133.102] (-3156.021) -- 0:07:00
639000 -- (-3157.378) (-3138.652) (-3170.310) [-3135.915] * (-3148.787) (-3172.887) (-3133.588) [-3143.584] -- 0:06:59
640000 -- (-3152.100) [-3144.084] (-3160.644) (-3138.767) * (-3132.614) (-3149.459) [-3136.481] (-3149.990) -- 0:06:57
Average standard deviation of split frequencies: 0.009120
641000 -- (-3158.402) (-3160.930) (-3159.552) [-3135.999] * [-3142.394] (-3154.500) (-3142.692) (-3155.323) -- 0:06:56
642000 -- [-3139.811] (-3177.081) (-3148.825) (-3161.276) * (-3134.197) [-3142.147] (-3148.823) (-3154.748) -- 0:06:55
643000 -- (-3144.245) (-3155.789) [-3144.675] (-3168.016) * (-3151.081) (-3149.801) [-3156.572] (-3157.797) -- 0:06:54
644000 -- [-3144.106] (-3145.233) (-3155.527) (-3162.905) * [-3143.353] (-3148.455) (-3150.722) (-3160.516) -- 0:06:52
645000 -- (-3168.952) (-3145.094) [-3141.384] (-3156.299) * (-3147.398) [-3134.096] (-3139.691) (-3162.230) -- 0:06:51
Average standard deviation of split frequencies: 0.008853
646000 -- (-3153.686) (-3162.052) (-3153.859) [-3135.950] * (-3137.166) [-3143.261] (-3141.182) (-3153.608) -- 0:06:50
647000 -- (-3142.749) (-3153.175) (-3147.294) [-3135.584] * (-3146.520) (-3145.010) [-3135.719] (-3139.993) -- 0:06:49
648000 -- (-3137.290) (-3149.207) [-3152.812] (-3144.365) * (-3151.221) [-3138.766] (-3149.706) (-3150.202) -- 0:06:47
649000 -- [-3137.620] (-3146.786) (-3142.105) (-3164.596) * (-3137.019) [-3137.644] (-3155.208) (-3139.088) -- 0:06:47
650000 -- (-3150.678) (-3149.114) [-3138.732] (-3155.040) * [-3134.142] (-3167.589) (-3147.577) (-3133.847) -- 0:06:46
Average standard deviation of split frequencies: 0.008560
651000 -- (-3142.841) (-3150.551) [-3133.773] (-3150.046) * (-3152.096) (-3156.958) [-3135.403] (-3133.206) -- 0:06:45
652000 -- (-3163.224) (-3137.952) [-3136.952] (-3153.644) * (-3137.256) (-3163.985) (-3149.578) [-3129.663] -- 0:06:44
653000 -- (-3166.431) (-3141.144) (-3163.797) [-3147.127] * [-3149.333] (-3155.075) (-3134.238) (-3154.543) -- 0:06:43
654000 -- (-3150.075) (-3141.139) (-3152.934) [-3135.328] * [-3144.139] (-3151.683) (-3134.150) (-3145.187) -- 0:06:42
655000 -- (-3158.315) (-3160.783) (-3152.491) [-3136.233] * [-3135.042] (-3158.427) (-3135.573) (-3148.568) -- 0:06:41
Average standard deviation of split frequencies: 0.008188
656000 -- (-3141.838) (-3140.335) [-3144.175] (-3149.355) * (-3140.677) (-3152.894) [-3139.875] (-3156.078) -- 0:06:40
657000 -- (-3138.135) [-3150.114] (-3168.134) (-3152.728) * (-3164.318) [-3140.889] (-3142.250) (-3181.309) -- 0:06:39
658000 -- (-3138.103) [-3137.704] (-3152.914) (-3162.607) * (-3150.563) (-3145.187) [-3144.421] (-3142.718) -- 0:06:38
659000 -- [-3140.794] (-3143.707) (-3174.152) (-3146.277) * (-3157.986) (-3152.500) [-3135.983] (-3148.082) -- 0:06:37
660000 -- (-3146.294) (-3143.330) (-3159.447) [-3142.983] * (-3161.832) [-3138.689] (-3148.220) (-3148.148) -- 0:06:36
Average standard deviation of split frequencies: 0.008562
661000 -- [-3139.048] (-3152.992) (-3156.940) (-3171.021) * (-3144.461) (-3149.717) [-3145.158] (-3151.188) -- 0:06:35
662000 -- (-3141.053) (-3149.591) [-3141.147] (-3153.407) * (-3145.761) [-3132.492] (-3162.654) (-3152.046) -- 0:06:34
663000 -- [-3146.129] (-3153.667) (-3133.576) (-3167.170) * (-3143.574) [-3135.584] (-3140.318) (-3171.956) -- 0:06:33
664000 -- (-3155.045) (-3154.048) [-3147.592] (-3160.320) * (-3163.852) [-3145.410] (-3146.187) (-3151.198) -- 0:06:33
665000 -- (-3155.643) (-3149.095) (-3162.254) [-3131.299] * (-3156.107) (-3154.549) [-3147.945] (-3142.048) -- 0:06:31
Average standard deviation of split frequencies: 0.008065
666000 -- [-3133.876] (-3153.896) (-3148.509) (-3133.875) * (-3155.121) (-3154.650) [-3127.032] (-3145.488) -- 0:06:31
667000 -- (-3135.960) (-3164.003) (-3137.634) [-3156.684] * (-3150.728) (-3163.441) (-3142.376) [-3141.125] -- 0:06:29
668000 -- (-3146.853) [-3137.063] (-3137.939) (-3163.439) * (-3147.625) (-3164.663) [-3144.695] (-3147.537) -- 0:06:29
669000 -- (-3146.781) (-3155.691) [-3139.336] (-3156.580) * (-3157.239) [-3145.501] (-3138.982) (-3158.608) -- 0:06:28
670000 -- (-3164.215) (-3160.721) [-3136.388] (-3141.094) * [-3146.705] (-3153.210) (-3157.837) (-3158.831) -- 0:06:27
Average standard deviation of split frequencies: 0.008120
671000 -- (-3160.387) (-3140.078) [-3144.264] (-3145.975) * (-3174.692) [-3146.290] (-3155.920) (-3160.965) -- 0:06:26
672000 -- (-3147.507) (-3149.014) [-3147.397] (-3159.862) * (-3165.911) (-3149.244) [-3141.467] (-3138.837) -- 0:06:25
673000 -- (-3167.046) [-3131.358] (-3165.382) (-3156.630) * (-3144.984) (-3154.963) (-3167.846) [-3124.269] -- 0:06:24
674000 -- [-3155.312] (-3153.490) (-3147.811) (-3150.370) * [-3138.365] (-3157.665) (-3143.548) (-3145.118) -- 0:06:23
675000 -- (-3140.078) [-3141.248] (-3148.647) (-3154.836) * (-3141.242) [-3141.269] (-3144.232) (-3169.642) -- 0:06:22
Average standard deviation of split frequencies: 0.008442
676000 -- [-3135.546] (-3140.737) (-3140.082) (-3144.429) * [-3138.928] (-3137.926) (-3155.454) (-3147.093) -- 0:06:21
677000 -- (-3142.547) [-3140.176] (-3144.905) (-3155.762) * (-3159.883) [-3135.626] (-3145.965) (-3157.339) -- 0:06:20
678000 -- (-3147.563) [-3142.696] (-3146.868) (-3153.119) * (-3148.163) [-3141.600] (-3146.663) (-3160.905) -- 0:06:18
679000 -- (-3145.068) (-3158.612) (-3143.396) [-3149.288] * [-3147.026] (-3158.273) (-3150.151) (-3147.813) -- 0:06:17
680000 -- (-3158.949) (-3157.807) (-3149.988) [-3138.411] * (-3158.768) (-3163.463) (-3153.982) [-3140.464] -- 0:06:16
Average standard deviation of split frequencies: 0.008329
681000 -- (-3164.850) (-3142.983) [-3163.571] (-3144.251) * [-3145.173] (-3150.461) (-3143.811) (-3172.738) -- 0:06:15
682000 -- (-3152.662) [-3141.190] (-3143.985) (-3141.094) * [-3135.517] (-3146.123) (-3166.655) (-3158.996) -- 0:06:13
683000 -- [-3150.986] (-3136.308) (-3152.542) (-3142.582) * (-3173.541) (-3145.645) (-3160.592) [-3135.513] -- 0:06:12
684000 -- (-3141.398) [-3134.126] (-3154.610) (-3155.775) * (-3147.664) [-3137.194] (-3153.651) (-3156.963) -- 0:06:11
685000 -- (-3148.219) (-3158.928) [-3147.242] (-3155.914) * (-3150.944) (-3143.558) (-3145.540) [-3136.604] -- 0:06:10
Average standard deviation of split frequencies: 0.008047
686000 -- (-3151.706) [-3153.061] (-3165.023) (-3149.134) * (-3153.726) (-3155.160) [-3145.259] (-3147.345) -- 0:06:08
687000 -- (-3160.662) (-3161.573) (-3154.215) [-3153.345] * [-3144.306] (-3159.220) (-3156.273) (-3139.202) -- 0:06:07
688000 -- (-3174.484) [-3145.335] (-3150.062) (-3153.806) * (-3137.584) (-3159.672) [-3142.456] (-3152.213) -- 0:06:06
689000 -- (-3153.587) [-3146.218] (-3149.154) (-3188.111) * [-3144.117] (-3134.046) (-3149.458) (-3161.883) -- 0:06:05
690000 -- (-3146.967) [-3137.985] (-3135.952) (-3158.700) * [-3147.371] (-3141.202) (-3158.498) (-3141.919) -- 0:06:03
Average standard deviation of split frequencies: 0.008370
691000 -- (-3139.559) (-3151.818) [-3141.925] (-3173.176) * (-3150.814) [-3140.361] (-3146.894) (-3151.046) -- 0:06:02
692000 -- (-3152.674) (-3155.930) (-3154.688) [-3132.518] * (-3140.748) [-3145.028] (-3167.185) (-3144.857) -- 0:06:01
693000 -- (-3129.075) [-3143.346] (-3154.935) (-3155.435) * [-3137.736] (-3161.778) (-3160.516) (-3148.308) -- 0:06:00
694000 -- [-3138.374] (-3157.767) (-3142.685) (-3159.756) * [-3138.393] (-3161.495) (-3144.908) (-3152.291) -- 0:05:58
695000 -- [-3143.577] (-3151.382) (-3151.337) (-3160.401) * [-3137.941] (-3152.652) (-3146.222) (-3148.870) -- 0:05:57
Average standard deviation of split frequencies: 0.008021
696000 -- [-3139.712] (-3154.410) (-3154.402) (-3149.073) * [-3143.726] (-3146.404) (-3159.498) (-3159.958) -- 0:05:56
697000 -- (-3152.076) (-3154.044) [-3151.035] (-3145.182) * (-3150.375) (-3150.140) [-3152.123] (-3153.309) -- 0:05:55
698000 -- [-3144.103] (-3155.840) (-3152.449) (-3153.610) * (-3147.252) (-3139.647) (-3174.605) [-3152.299] -- 0:05:53
699000 -- [-3148.320] (-3145.615) (-3150.929) (-3154.813) * (-3136.557) (-3146.392) [-3145.644] (-3149.182) -- 0:05:52
700000 -- [-3145.905] (-3140.110) (-3157.033) (-3150.583) * [-3126.852] (-3142.378) (-3148.598) (-3156.006) -- 0:05:51
Average standard deviation of split frequencies: 0.008233
701000 -- (-3131.820) [-3127.887] (-3149.515) (-3163.130) * (-3139.104) (-3153.285) (-3151.470) [-3139.038] -- 0:05:50
702000 -- (-3152.368) [-3134.564] (-3140.318) (-3160.000) * (-3149.131) (-3163.108) (-3145.440) [-3138.023] -- 0:05:48
703000 -- (-3139.852) [-3136.457] (-3142.213) (-3165.634) * (-3148.833) (-3146.547) [-3134.908] (-3143.930) -- 0:05:47
704000 -- (-3146.996) (-3154.824) (-3151.201) [-3152.655] * (-3158.600) [-3148.093] (-3142.383) (-3157.617) -- 0:05:46
705000 -- (-3158.123) (-3145.714) [-3143.537] (-3156.540) * (-3179.948) [-3148.885] (-3151.632) (-3147.491) -- 0:05:45
Average standard deviation of split frequencies: 0.008540
706000 -- (-3153.456) (-3146.838) (-3152.310) [-3145.845] * (-3184.912) [-3136.576] (-3148.869) (-3145.237) -- 0:05:43
707000 -- (-3165.786) (-3152.981) (-3144.403) [-3141.182] * (-3148.969) [-3133.076] (-3143.249) (-3161.290) -- 0:05:42
708000 -- (-3138.385) (-3156.700) (-3151.939) [-3139.676] * (-3147.207) [-3129.380] (-3147.423) (-3153.207) -- 0:05:41
709000 -- (-3156.145) [-3162.578] (-3151.923) (-3160.664) * [-3147.831] (-3147.069) (-3171.893) (-3149.707) -- 0:05:40
710000 -- (-3155.980) [-3147.315] (-3160.455) (-3164.631) * (-3143.229) (-3140.069) (-3146.991) [-3142.903] -- 0:05:39
Average standard deviation of split frequencies: 0.008850
711000 -- [-3156.104] (-3158.054) (-3171.257) (-3138.636) * [-3140.707] (-3144.008) (-3153.445) (-3164.546) -- 0:05:37
712000 -- (-3160.124) (-3144.878) [-3148.540] (-3141.642) * [-3140.833] (-3133.321) (-3155.166) (-3153.292) -- 0:05:36
713000 -- (-3153.819) [-3147.085] (-3160.145) (-3147.474) * (-3170.696) (-3130.462) (-3165.676) [-3128.275] -- 0:05:35
714000 -- (-3140.695) (-3148.874) (-3140.395) [-3150.072] * (-3160.218) (-3148.738) (-3161.441) [-3130.671] -- 0:05:34
715000 -- (-3141.834) (-3150.844) [-3141.314] (-3143.242) * (-3164.279) (-3158.324) (-3160.047) [-3143.974] -- 0:05:32
Average standard deviation of split frequencies: 0.009061
716000 -- (-3140.994) (-3147.769) (-3165.418) [-3144.158] * (-3151.243) (-3149.232) (-3139.944) [-3144.867] -- 0:05:31
717000 -- [-3130.435] (-3138.947) (-3161.932) (-3151.521) * [-3146.279] (-3164.281) (-3144.555) (-3147.391) -- 0:05:30
718000 -- [-3136.880] (-3144.808) (-3156.212) (-3151.746) * (-3156.430) (-3152.681) (-3146.016) [-3139.838] -- 0:05:29
719000 -- (-3152.237) [-3147.047] (-3156.932) (-3140.585) * (-3166.821) [-3138.628] (-3144.815) (-3150.214) -- 0:05:28
720000 -- (-3154.695) (-3162.638) (-3142.550) [-3149.381] * (-3141.855) (-3153.419) (-3155.690) [-3134.384] -- 0:05:27
Average standard deviation of split frequencies: 0.009192
721000 -- (-3151.998) (-3147.773) [-3137.647] (-3162.555) * (-3144.139) (-3143.414) [-3151.598] (-3139.665) -- 0:05:25
722000 -- (-3140.035) (-3150.257) [-3137.717] (-3146.679) * (-3148.022) (-3152.638) (-3148.182) [-3152.744] -- 0:05:24
723000 -- [-3140.112] (-3154.809) (-3143.798) (-3142.779) * [-3152.067] (-3166.470) (-3139.072) (-3154.666) -- 0:05:23
724000 -- (-3175.465) (-3154.029) [-3144.625] (-3147.017) * (-3151.693) (-3147.147) [-3141.499] (-3150.098) -- 0:05:22
725000 -- (-3156.551) (-3149.144) (-3162.939) [-3133.320] * (-3150.741) (-3139.705) [-3136.981] (-3136.682) -- 0:05:20
Average standard deviation of split frequencies: 0.008390
726000 -- (-3149.649) (-3137.470) (-3131.323) [-3136.588] * (-3147.858) [-3135.933] (-3164.791) (-3139.565) -- 0:05:19
727000 -- (-3158.043) [-3148.619] (-3144.777) (-3156.946) * [-3148.316] (-3146.429) (-3168.530) (-3155.670) -- 0:05:18
728000 -- [-3158.845] (-3148.295) (-3163.175) (-3153.405) * (-3145.408) [-3146.738] (-3164.623) (-3173.788) -- 0:05:16
729000 -- (-3148.365) [-3124.992] (-3142.867) (-3140.134) * (-3140.162) (-3137.287) [-3142.404] (-3171.640) -- 0:05:15
730000 -- (-3155.249) (-3138.522) (-3140.852) [-3139.502] * (-3151.814) (-3158.118) [-3136.283] (-3145.867) -- 0:05:14
Average standard deviation of split frequencies: 0.008183
731000 -- (-3155.302) (-3153.341) (-3153.146) [-3143.524] * (-3144.400) (-3151.746) [-3134.904] (-3151.998) -- 0:05:13
732000 -- (-3157.297) [-3146.388] (-3149.573) (-3155.854) * [-3134.100] (-3151.677) (-3137.953) (-3168.288) -- 0:05:11
733000 -- (-3148.765) (-3149.405) (-3173.514) [-3130.348] * [-3141.296] (-3156.821) (-3143.718) (-3175.672) -- 0:05:10
734000 -- (-3146.296) (-3149.776) (-3153.306) [-3146.619] * (-3159.893) (-3138.260) [-3148.724] (-3162.062) -- 0:05:09
735000 -- (-3150.119) [-3137.526] (-3148.595) (-3155.515) * (-3150.750) [-3138.932] (-3151.854) (-3150.616) -- 0:05:08
Average standard deviation of split frequencies: 0.008040
736000 -- [-3135.883] (-3152.069) (-3145.293) (-3148.428) * (-3149.612) (-3143.031) (-3173.530) [-3136.698] -- 0:05:07
737000 -- [-3138.873] (-3164.654) (-3152.596) (-3159.734) * [-3139.602] (-3131.195) (-3172.763) (-3146.287) -- 0:05:05
738000 -- [-3151.865] (-3146.883) (-3166.172) (-3135.941) * [-3137.660] (-3150.494) (-3158.118) (-3162.034) -- 0:05:04
739000 -- [-3134.587] (-3154.295) (-3157.150) (-3155.483) * (-3156.182) [-3141.882] (-3157.774) (-3154.657) -- 0:05:03
740000 -- (-3142.725) (-3153.784) [-3138.040] (-3161.080) * [-3141.790] (-3151.691) (-3155.508) (-3150.572) -- 0:05:02
Average standard deviation of split frequencies: 0.007755
741000 -- (-3142.513) [-3144.760] (-3140.651) (-3147.503) * (-3137.663) [-3142.836] (-3155.686) (-3155.061) -- 0:05:00
742000 -- [-3148.847] (-3147.369) (-3155.760) (-3154.380) * [-3140.618] (-3147.168) (-3152.105) (-3152.389) -- 0:04:59
743000 -- [-3134.835] (-3151.534) (-3142.820) (-3141.999) * (-3149.060) (-3140.829) [-3132.414] (-3164.260) -- 0:04:58
744000 -- (-3149.207) [-3153.801] (-3163.088) (-3143.975) * (-3148.568) (-3155.422) (-3144.753) [-3148.070] -- 0:04:57
745000 -- (-3151.556) (-3146.637) (-3160.748) [-3147.195] * [-3134.615] (-3147.220) (-3157.766) (-3157.648) -- 0:04:56
Average standard deviation of split frequencies: 0.007383
746000 -- (-3150.208) [-3143.344] (-3144.466) (-3144.645) * [-3135.468] (-3146.516) (-3154.949) (-3165.898) -- 0:04:54
747000 -- (-3141.884) (-3158.086) (-3162.577) [-3130.730] * (-3144.305) (-3137.397) (-3160.883) [-3138.643] -- 0:04:53
748000 -- (-3158.305) (-3150.441) [-3136.435] (-3147.716) * (-3141.604) [-3143.830] (-3155.819) (-3154.369) -- 0:04:52
749000 -- [-3154.786] (-3137.045) (-3143.428) (-3158.338) * (-3151.210) [-3143.757] (-3153.468) (-3156.882) -- 0:04:51
750000 -- (-3159.876) (-3165.883) (-3150.643) [-3139.452] * (-3151.184) (-3163.511) (-3146.184) [-3137.704] -- 0:04:50
Average standard deviation of split frequencies: 0.006809
751000 -- (-3148.865) (-3158.382) (-3149.430) [-3139.038] * (-3143.879) [-3151.053] (-3139.887) (-3153.478) -- 0:04:48
752000 -- (-3147.106) (-3164.043) (-3155.679) [-3135.116] * (-3147.477) (-3151.709) (-3145.703) [-3152.321] -- 0:04:47
753000 -- (-3145.038) [-3143.465] (-3156.932) (-3139.640) * (-3157.637) (-3146.466) (-3157.268) [-3151.765] -- 0:04:46
754000 -- (-3137.499) (-3141.983) [-3143.283] (-3149.506) * [-3142.531] (-3138.787) (-3157.862) (-3149.232) -- 0:04:45
755000 -- (-3157.764) (-3143.456) [-3143.608] (-3150.519) * (-3158.641) [-3152.237] (-3153.160) (-3132.459) -- 0:04:43
Average standard deviation of split frequencies: 0.006925
756000 -- [-3139.900] (-3143.633) (-3139.673) (-3149.283) * (-3158.515) [-3143.312] (-3132.867) (-3160.926) -- 0:04:42
757000 -- (-3156.640) (-3148.394) (-3148.308) [-3140.279] * (-3162.680) [-3141.264] (-3139.454) (-3145.518) -- 0:04:41
758000 -- (-3162.243) [-3141.824] (-3149.236) (-3133.305) * (-3145.362) (-3157.298) (-3157.139) [-3141.032] -- 0:04:40
759000 -- (-3167.031) [-3147.150] (-3151.501) (-3156.482) * (-3144.292) (-3154.098) (-3159.693) [-3138.143] -- 0:04:39
760000 -- [-3144.782] (-3154.702) (-3138.707) (-3132.131) * [-3137.951] (-3157.461) (-3170.427) (-3152.277) -- 0:04:37
Average standard deviation of split frequencies: 0.007029
761000 -- [-3136.627] (-3150.902) (-3145.491) (-3135.393) * (-3165.171) [-3159.913] (-3144.544) (-3143.625) -- 0:04:36
762000 -- (-3148.519) (-3159.814) (-3143.467) [-3132.076] * [-3133.160] (-3167.994) (-3144.314) (-3146.959) -- 0:04:35
763000 -- [-3143.371] (-3147.408) (-3140.771) (-3156.997) * (-3156.233) (-3164.644) [-3131.862] (-3153.381) -- 0:04:34
764000 -- [-3133.381] (-3170.011) (-3158.527) (-3168.898) * (-3160.964) (-3151.386) [-3150.104] (-3142.081) -- 0:04:33
765000 -- [-3140.167] (-3151.844) (-3158.686) (-3147.045) * [-3156.438] (-3155.397) (-3157.101) (-3143.228) -- 0:04:31
Average standard deviation of split frequencies: 0.006510
766000 -- (-3155.260) (-3150.696) [-3135.689] (-3147.300) * [-3146.529] (-3148.429) (-3147.330) (-3146.722) -- 0:04:30
767000 -- [-3140.585] (-3154.568) (-3151.481) (-3160.094) * (-3157.430) [-3143.513] (-3145.113) (-3145.869) -- 0:04:29
768000 -- [-3153.171] (-3171.192) (-3155.731) (-3157.140) * [-3139.868] (-3148.039) (-3156.438) (-3161.840) -- 0:04:28
769000 -- [-3159.625] (-3159.318) (-3152.493) (-3152.367) * (-3154.483) [-3137.776] (-3147.619) (-3164.307) -- 0:04:27
770000 -- (-3156.035) (-3166.487) (-3139.516) [-3155.864] * [-3150.911] (-3152.650) (-3160.198) (-3141.732) -- 0:04:26
Average standard deviation of split frequencies: 0.006616
771000 -- (-3153.531) (-3157.683) (-3139.444) [-3144.797] * (-3157.944) [-3140.130] (-3152.646) (-3166.266) -- 0:04:25
772000 -- (-3140.329) (-3163.846) [-3133.505] (-3151.209) * (-3174.511) [-3142.689] (-3134.732) (-3146.231) -- 0:04:24
773000 -- [-3132.482] (-3167.907) (-3129.910) (-3142.594) * (-3142.897) [-3148.941] (-3138.106) (-3148.946) -- 0:04:23
774000 -- (-3159.914) (-3146.245) [-3134.424] (-3145.295) * (-3142.540) (-3165.055) [-3143.120] (-3159.949) -- 0:04:22
775000 -- (-3161.233) (-3149.305) (-3139.591) [-3138.075] * (-3159.687) (-3157.374) [-3155.002] (-3136.166) -- 0:04:21
Average standard deviation of split frequencies: 0.006538
776000 -- (-3131.490) (-3147.090) (-3152.757) [-3154.504] * (-3149.097) [-3133.314] (-3172.927) (-3139.637) -- 0:04:20
777000 -- (-3145.735) [-3149.245] (-3160.507) (-3149.240) * (-3142.875) (-3139.627) (-3166.630) [-3136.869] -- 0:04:19
778000 -- (-3133.403) (-3134.175) (-3142.870) [-3134.649] * [-3134.633] (-3135.578) (-3165.338) (-3149.928) -- 0:04:17
779000 -- (-3158.067) [-3149.464] (-3152.704) (-3150.171) * [-3148.897] (-3148.234) (-3157.775) (-3151.222) -- 0:04:16
780000 -- [-3141.469] (-3157.161) (-3139.931) (-3168.098) * (-3139.750) (-3145.804) [-3143.968] (-3134.660) -- 0:04:15
Average standard deviation of split frequencies: 0.006754
781000 -- (-3152.159) (-3158.986) [-3140.669] (-3150.175) * [-3152.775] (-3148.415) (-3148.884) (-3151.827) -- 0:04:14
782000 -- (-3161.786) (-3148.893) [-3139.106] (-3143.243) * [-3145.408] (-3154.803) (-3145.586) (-3158.120) -- 0:04:13
783000 -- (-3157.084) (-3140.044) (-3144.913) [-3127.889] * (-3150.049) [-3131.227] (-3176.661) (-3156.376) -- 0:04:11
784000 -- (-3147.307) [-3143.478] (-3165.344) (-3139.238) * (-3144.627) [-3136.848] (-3161.495) (-3172.405) -- 0:04:10
785000 -- (-3149.434) (-3140.554) (-3155.129) [-3140.039] * (-3147.758) [-3139.041] (-3166.459) (-3136.164) -- 0:04:09
Average standard deviation of split frequencies: 0.006850
786000 -- (-3159.581) (-3157.611) (-3154.655) [-3128.379] * (-3158.471) (-3143.873) [-3142.274] (-3159.701) -- 0:04:08
787000 -- (-3144.115) (-3147.604) (-3157.963) [-3139.428] * (-3162.196) (-3142.186) (-3163.386) [-3152.722] -- 0:04:07
788000 -- (-3153.304) [-3139.285] (-3157.384) (-3158.634) * (-3149.698) (-3150.551) [-3143.107] (-3148.413) -- 0:04:05
789000 -- (-3143.033) (-3162.671) (-3157.015) [-3156.023] * (-3161.932) (-3147.748) (-3149.542) [-3144.389] -- 0:04:04
790000 -- [-3140.669] (-3167.126) (-3157.554) (-3145.400) * [-3149.570] (-3159.823) (-3147.414) (-3167.354) -- 0:04:03
Average standard deviation of split frequencies: 0.006809
791000 -- (-3148.079) (-3153.953) (-3149.174) [-3145.810] * (-3153.405) (-3149.197) (-3144.128) [-3148.575] -- 0:04:02
792000 -- [-3143.611] (-3146.394) (-3145.014) (-3147.015) * (-3161.407) [-3155.588] (-3149.104) (-3151.739) -- 0:04:01
793000 -- (-3155.619) (-3150.766) [-3142.689] (-3134.036) * (-3152.641) (-3184.657) [-3141.003] (-3136.193) -- 0:03:59
794000 -- [-3143.299] (-3163.420) (-3152.519) (-3138.407) * [-3131.218] (-3169.513) (-3144.246) (-3156.139) -- 0:03:58
795000 -- [-3152.829] (-3162.645) (-3154.188) (-3155.863) * (-3151.947) (-3155.553) [-3151.491] (-3150.735) -- 0:03:57
Average standard deviation of split frequencies: 0.006951
796000 -- (-3147.578) (-3180.030) [-3142.209] (-3138.788) * (-3144.558) [-3138.922] (-3145.700) (-3150.383) -- 0:03:56
797000 -- (-3144.338) (-3147.781) [-3147.636] (-3143.880) * (-3142.744) (-3156.070) [-3144.138] (-3147.344) -- 0:03:55
798000 -- (-3144.188) (-3172.135) [-3151.917] (-3142.903) * [-3140.798] (-3151.363) (-3142.811) (-3156.599) -- 0:03:53
799000 -- [-3153.337] (-3148.282) (-3162.747) (-3143.245) * (-3162.035) (-3156.110) (-3159.749) [-3141.816] -- 0:03:52
800000 -- [-3142.522] (-3161.731) (-3148.903) (-3143.222) * [-3152.262] (-3149.876) (-3175.620) (-3158.454) -- 0:03:51
Average standard deviation of split frequencies: 0.006941
801000 -- [-3134.747] (-3160.531) (-3157.133) (-3146.159) * (-3163.870) [-3141.717] (-3160.168) (-3173.481) -- 0:03:50
802000 -- (-3146.817) [-3142.948] (-3154.014) (-3147.900) * [-3150.592] (-3146.503) (-3154.848) (-3148.870) -- 0:03:49
803000 -- (-3159.029) (-3149.380) (-3170.173) [-3148.918] * (-3154.783) (-3147.571) [-3138.801] (-3162.694) -- 0:03:47
804000 -- (-3139.322) [-3148.363] (-3144.309) (-3152.930) * (-3144.213) [-3150.003] (-3155.044) (-3133.802) -- 0:03:46
805000 -- [-3141.729] (-3172.648) (-3147.124) (-3134.292) * [-3145.900] (-3137.047) (-3142.191) (-3147.017) -- 0:03:45
Average standard deviation of split frequencies: 0.006972
806000 -- (-3135.160) (-3157.952) [-3135.564] (-3156.140) * (-3138.939) [-3145.074] (-3155.144) (-3147.264) -- 0:03:44
807000 -- (-3140.999) (-3168.839) (-3140.703) [-3148.327] * (-3153.023) (-3154.753) [-3136.871] (-3144.901) -- 0:03:43
808000 -- (-3137.872) [-3156.008] (-3140.292) (-3145.010) * (-3171.717) [-3143.986] (-3131.749) (-3151.888) -- 0:03:41
809000 -- [-3142.798] (-3145.540) (-3143.989) (-3156.000) * (-3150.450) [-3151.129] (-3159.167) (-3155.808) -- 0:03:40
810000 -- (-3155.967) (-3144.703) (-3155.020) [-3143.179] * (-3141.950) (-3148.712) (-3163.954) [-3132.873] -- 0:03:39
Average standard deviation of split frequencies: 0.007055
811000 -- (-3142.892) (-3166.399) (-3156.048) [-3141.131] * (-3145.492) [-3148.677] (-3151.258) (-3143.614) -- 0:03:38
812000 -- (-3159.073) (-3157.111) [-3146.157] (-3149.503) * (-3158.314) [-3134.525] (-3158.783) (-3151.046) -- 0:03:37
813000 -- (-3147.580) (-3163.089) [-3150.291] (-3149.140) * (-3171.069) (-3152.569) (-3159.379) [-3137.647] -- 0:03:35
814000 -- (-3163.442) (-3139.006) [-3139.899] (-3141.613) * (-3154.299) [-3146.979] (-3152.786) (-3142.637) -- 0:03:34
815000 -- (-3163.242) (-3154.842) (-3156.492) [-3142.675] * [-3145.125] (-3156.227) (-3168.156) (-3158.692) -- 0:03:33
Average standard deviation of split frequencies: 0.007024
816000 -- (-3159.875) [-3149.134] (-3136.248) (-3139.532) * [-3126.723] (-3172.341) (-3151.453) (-3147.484) -- 0:03:32
817000 -- [-3150.968] (-3152.599) (-3148.010) (-3147.548) * (-3135.361) (-3155.626) (-3163.636) [-3138.967] -- 0:03:31
818000 -- (-3154.906) (-3151.637) [-3141.993] (-3150.307) * [-3126.518] (-3183.322) (-3166.335) (-3146.170) -- 0:03:30
819000 -- [-3153.704] (-3157.510) (-3143.239) (-3158.123) * [-3141.062] (-3146.214) (-3157.101) (-3170.306) -- 0:03:28
820000 -- (-3146.324) (-3150.168) [-3144.921] (-3131.425) * (-3148.398) (-3151.516) (-3146.010) [-3146.589] -- 0:03:27
Average standard deviation of split frequencies: 0.006651
821000 -- (-3148.643) (-3152.473) (-3146.734) [-3146.542] * (-3153.423) (-3164.466) (-3143.640) [-3141.197] -- 0:03:26
822000 -- (-3159.736) (-3170.818) (-3144.390) [-3141.446] * (-3141.343) (-3150.876) (-3155.393) [-3150.314] -- 0:03:25
823000 -- [-3146.787] (-3143.851) (-3145.559) (-3148.512) * [-3149.004] (-3143.394) (-3151.738) (-3156.416) -- 0:03:23
824000 -- (-3162.372) [-3153.578] (-3134.146) (-3144.199) * (-3168.424) (-3150.068) (-3143.568) [-3151.371] -- 0:03:22
825000 -- (-3146.222) (-3150.446) (-3160.994) [-3139.488] * (-3142.135) [-3146.556] (-3143.797) (-3155.035) -- 0:03:21
Average standard deviation of split frequencies: 0.006593
826000 -- (-3151.565) (-3154.969) (-3160.932) [-3135.791] * [-3158.888] (-3144.166) (-3139.914) (-3146.228) -- 0:03:20
827000 -- (-3139.718) [-3146.175] (-3155.955) (-3150.543) * (-3144.850) [-3155.240] (-3150.258) (-3148.997) -- 0:03:19
828000 -- (-3159.822) [-3136.601] (-3161.454) (-3149.522) * (-3158.301) (-3164.359) (-3137.332) [-3147.688] -- 0:03:17
829000 -- [-3139.030] (-3131.471) (-3158.277) (-3148.040) * (-3138.165) (-3167.620) (-3146.551) [-3139.156] -- 0:03:16
830000 -- (-3143.171) (-3139.471) (-3145.054) [-3137.507] * (-3147.798) (-3157.003) (-3139.251) [-3138.945] -- 0:03:15
Average standard deviation of split frequencies: 0.006840
831000 -- (-3160.286) [-3139.145] (-3138.678) (-3144.404) * (-3159.007) (-3146.561) (-3137.043) [-3135.709] -- 0:03:14
832000 -- (-3152.067) (-3166.476) [-3128.739] (-3156.307) * [-3142.575] (-3154.894) (-3140.932) (-3137.486) -- 0:03:13
833000 -- (-3142.684) (-3142.828) [-3131.354] (-3155.829) * (-3139.167) (-3166.135) (-3152.327) [-3138.050] -- 0:03:12
834000 -- (-3140.345) [-3142.475] (-3144.049) (-3165.993) * (-3145.186) (-3149.292) [-3156.298] (-3150.330) -- 0:03:10
835000 -- [-3138.669] (-3136.236) (-3162.776) (-3135.501) * (-3161.235) (-3151.127) (-3145.923) [-3139.700] -- 0:03:09
Average standard deviation of split frequencies: 0.006856
836000 -- (-3146.726) (-3139.648) [-3146.300] (-3138.454) * (-3170.931) (-3168.524) (-3148.672) [-3142.066] -- 0:03:08
837000 -- (-3148.877) (-3140.274) (-3140.385) [-3144.824] * [-3136.768] (-3162.178) (-3156.049) (-3141.141) -- 0:03:07
838000 -- (-3162.537) [-3141.784] (-3139.337) (-3157.984) * [-3151.667] (-3154.210) (-3156.185) (-3156.422) -- 0:03:06
839000 -- (-3157.075) (-3154.929) (-3158.570) [-3130.661] * (-3139.040) (-3151.728) [-3135.037] (-3164.019) -- 0:03:04
840000 -- (-3154.837) (-3151.381) (-3142.780) [-3151.691] * (-3167.264) (-3148.009) [-3142.342] (-3147.918) -- 0:03:03
Average standard deviation of split frequencies: 0.006759
841000 -- (-3149.572) (-3150.365) [-3146.744] (-3128.485) * (-3158.143) (-3147.815) (-3139.337) [-3136.084] -- 0:03:02
842000 -- (-3152.729) (-3152.024) [-3144.053] (-3134.708) * (-3152.250) (-3156.482) (-3145.904) [-3138.778] -- 0:03:01
843000 -- (-3146.588) (-3156.966) (-3141.376) [-3138.218] * (-3152.689) (-3157.548) (-3145.881) [-3145.835] -- 0:03:00
844000 -- (-3169.734) [-3139.084] (-3155.577) (-3135.556) * (-3148.552) (-3151.153) (-3144.080) [-3144.815] -- 0:02:59
845000 -- (-3166.238) (-3157.083) [-3142.602] (-3141.579) * (-3169.853) [-3137.192] (-3143.745) (-3144.491) -- 0:02:57
Average standard deviation of split frequencies: 0.006921
846000 -- (-3166.403) (-3144.799) [-3137.769] (-3159.553) * (-3169.197) (-3136.628) (-3139.020) [-3139.725] -- 0:02:56
847000 -- (-3155.459) (-3142.867) (-3142.272) [-3138.754] * (-3164.736) (-3162.807) [-3146.611] (-3157.541) -- 0:02:55
848000 -- (-3162.186) [-3136.944] (-3139.059) (-3155.246) * (-3141.236) (-3156.701) [-3156.148] (-3171.183) -- 0:02:54
849000 -- (-3153.114) (-3157.999) (-3138.662) [-3128.404] * [-3138.376] (-3157.176) (-3139.289) (-3137.511) -- 0:02:53
850000 -- (-3162.755) [-3139.005] (-3136.989) (-3146.066) * (-3166.053) (-3156.835) (-3156.011) [-3149.882] -- 0:02:52
Average standard deviation of split frequencies: 0.007044
851000 -- (-3157.645) [-3131.558] (-3157.084) (-3152.485) * (-3165.948) (-3158.799) (-3156.491) [-3142.752] -- 0:02:51
852000 -- [-3145.221] (-3150.094) (-3149.372) (-3145.240) * (-3137.472) (-3151.973) (-3166.924) [-3143.618] -- 0:02:49
853000 -- [-3153.014] (-3149.262) (-3146.636) (-3159.582) * (-3144.807) [-3140.715] (-3146.794) (-3154.007) -- 0:02:48
854000 -- [-3132.132] (-3145.827) (-3169.726) (-3152.071) * (-3134.655) (-3148.606) [-3144.846] (-3153.123) -- 0:02:47
855000 -- (-3154.806) (-3166.827) (-3151.412) [-3147.683] * [-3144.783] (-3143.868) (-3147.597) (-3172.613) -- 0:02:46
Average standard deviation of split frequencies: 0.007000
856000 -- (-3157.913) (-3134.183) [-3152.560] (-3154.993) * (-3133.032) [-3138.129] (-3158.183) (-3173.285) -- 0:02:45
857000 -- (-3140.995) [-3134.217] (-3146.774) (-3155.017) * [-3127.578] (-3153.811) (-3151.369) (-3176.874) -- 0:02:44
858000 -- (-3146.062) (-3144.084) (-3144.529) [-3143.068] * [-3140.088] (-3166.529) (-3144.176) (-3149.031) -- 0:02:42
859000 -- [-3156.038] (-3151.873) (-3159.541) (-3164.601) * (-3145.063) [-3149.456] (-3153.429) (-3149.519) -- 0:02:41
860000 -- (-3143.322) [-3131.966] (-3170.274) (-3144.214) * (-3163.952) (-3150.633) (-3141.456) [-3134.528] -- 0:02:40
Average standard deviation of split frequencies: 0.007351
861000 -- (-3145.831) [-3133.646] (-3152.438) (-3155.005) * (-3155.259) (-3154.192) (-3145.477) [-3133.841] -- 0:02:39
862000 -- (-3149.626) (-3141.409) (-3151.902) [-3144.725] * (-3155.520) (-3139.668) (-3151.567) [-3139.910] -- 0:02:38
863000 -- (-3152.599) (-3159.703) (-3155.796) [-3143.217] * [-3142.714] (-3175.249) (-3162.756) (-3149.767) -- 0:02:37
864000 -- [-3143.895] (-3140.903) (-3156.147) (-3152.978) * (-3154.754) (-3152.048) [-3147.244] (-3163.601) -- 0:02:35
865000 -- (-3137.688) (-3153.544) [-3145.184] (-3146.757) * [-3140.518] (-3153.850) (-3159.967) (-3155.206) -- 0:02:34
Average standard deviation of split frequencies: 0.007077
866000 -- (-3144.144) (-3159.281) (-3134.903) [-3143.839] * [-3134.221] (-3160.303) (-3152.659) (-3151.401) -- 0:02:33
867000 -- [-3149.513] (-3161.158) (-3133.251) (-3147.406) * (-3154.556) (-3145.763) [-3140.913] (-3152.079) -- 0:02:32
868000 -- (-3172.156) (-3143.788) [-3130.460] (-3153.790) * (-3141.067) [-3144.314] (-3155.701) (-3159.142) -- 0:02:31
869000 -- [-3154.634] (-3146.448) (-3146.511) (-3154.623) * (-3146.430) [-3141.273] (-3161.768) (-3149.315) -- 0:02:29
870000 -- (-3162.882) [-3146.785] (-3144.182) (-3139.892) * [-3137.161] (-3144.828) (-3168.220) (-3147.043) -- 0:02:28
Average standard deviation of split frequencies: 0.006953
871000 -- (-3151.278) (-3155.855) (-3153.574) [-3143.470] * (-3146.576) (-3140.419) [-3152.181] (-3151.457) -- 0:02:27
872000 -- (-3146.666) [-3142.996] (-3149.955) (-3157.586) * (-3141.874) [-3144.251] (-3142.210) (-3166.134) -- 0:02:26
873000 -- (-3142.835) (-3149.101) (-3150.184) [-3135.354] * (-3153.492) [-3146.039] (-3161.538) (-3163.637) -- 0:02:25
874000 -- (-3152.520) (-3160.927) (-3150.675) [-3137.162] * (-3148.224) [-3134.679] (-3145.300) (-3152.748) -- 0:02:24
875000 -- (-3148.697) (-3160.611) [-3141.913] (-3150.647) * (-3151.317) [-3148.104] (-3139.159) (-3152.925) -- 0:02:23
Average standard deviation of split frequencies: 0.007081
876000 -- (-3136.086) (-3149.695) [-3142.688] (-3160.516) * (-3149.126) [-3150.546] (-3153.261) (-3142.188) -- 0:02:21
877000 -- (-3136.020) (-3164.051) (-3142.834) [-3134.231] * [-3138.478] (-3170.276) (-3133.746) (-3152.317) -- 0:02:20
878000 -- (-3137.567) (-3172.363) (-3151.965) [-3139.432] * (-3148.941) [-3138.666] (-3144.238) (-3146.639) -- 0:02:19
879000 -- (-3137.819) [-3145.425] (-3155.464) (-3150.795) * [-3140.282] (-3156.192) (-3156.245) (-3150.462) -- 0:02:18
880000 -- (-3153.343) (-3147.844) (-3139.167) [-3141.169] * (-3155.793) [-3164.845] (-3156.537) (-3152.760) -- 0:02:17
Average standard deviation of split frequencies: 0.007226
881000 -- (-3153.401) (-3146.679) (-3153.579) [-3136.910] * [-3145.685] (-3144.473) (-3165.570) (-3159.626) -- 0:02:16
882000 -- [-3142.171] (-3141.057) (-3169.042) (-3163.199) * [-3146.617] (-3144.681) (-3149.121) (-3164.351) -- 0:02:14
883000 -- (-3161.335) (-3159.922) (-3153.238) [-3138.301] * (-3144.860) [-3144.666] (-3151.735) (-3144.028) -- 0:02:13
884000 -- (-3145.654) (-3129.201) [-3148.910] (-3141.055) * [-3143.171] (-3142.835) (-3139.155) (-3136.134) -- 0:02:12
885000 -- (-3149.890) [-3126.340] (-3159.501) (-3160.064) * [-3141.544] (-3151.335) (-3148.796) (-3140.559) -- 0:02:11
Average standard deviation of split frequencies: 0.007197
886000 -- (-3146.182) [-3134.584] (-3161.464) (-3153.358) * (-3152.152) (-3164.859) (-3160.320) [-3145.500] -- 0:02:10
887000 -- (-3155.072) (-3138.791) (-3140.834) [-3145.286] * (-3151.088) [-3139.485] (-3152.801) (-3141.069) -- 0:02:09
888000 -- [-3126.829] (-3155.450) (-3147.189) (-3150.233) * (-3157.207) (-3154.339) (-3143.937) [-3138.562] -- 0:02:07
889000 -- (-3145.192) [-3136.192] (-3147.583) (-3142.122) * (-3169.064) [-3143.684] (-3159.240) (-3139.753) -- 0:02:06
890000 -- (-3141.274) (-3155.778) (-3156.551) [-3131.719] * [-3141.535] (-3160.445) (-3152.403) (-3145.019) -- 0:02:05
Average standard deviation of split frequencies: 0.006853
891000 -- (-3154.126) (-3168.872) (-3151.144) [-3138.227] * (-3158.359) (-3144.990) (-3140.825) [-3138.402] -- 0:02:04
892000 -- (-3152.005) [-3134.760] (-3173.141) (-3138.399) * (-3155.486) (-3149.313) (-3149.142) [-3148.775] -- 0:02:03
893000 -- [-3138.823] (-3146.478) (-3171.319) (-3138.181) * (-3157.929) (-3139.635) (-3147.227) [-3138.574] -- 0:02:02
894000 -- [-3138.286] (-3157.989) (-3150.664) (-3140.366) * [-3135.585] (-3164.004) (-3149.141) (-3161.849) -- 0:02:01
895000 -- (-3134.925) (-3180.123) (-3157.950) [-3140.723] * (-3144.353) [-3140.426] (-3151.517) (-3162.682) -- 0:02:00
Average standard deviation of split frequencies: 0.006812
896000 -- (-3167.878) (-3150.860) (-3147.264) [-3141.419] * (-3160.982) (-3153.703) [-3145.468] (-3149.340) -- 0:01:59
897000 -- (-3146.346) (-3162.909) (-3150.542) [-3140.566] * (-3144.778) (-3157.181) [-3140.858] (-3157.101) -- 0:01:58
898000 -- (-3160.286) (-3158.819) (-3147.128) [-3156.666] * [-3137.367] (-3155.189) (-3164.731) (-3151.050) -- 0:01:56
899000 -- (-3159.533) (-3140.426) [-3140.483] (-3150.328) * (-3148.269) (-3155.331) [-3136.442] (-3156.338) -- 0:01:55
900000 -- (-3154.995) (-3151.668) [-3124.839] (-3164.369) * (-3144.336) [-3139.686] (-3168.698) (-3162.620) -- 0:01:54
Average standard deviation of split frequencies: 0.006515
901000 -- (-3166.142) [-3142.078] (-3139.249) (-3156.858) * (-3158.288) (-3150.820) [-3145.355] (-3149.620) -- 0:01:53
902000 -- (-3153.665) [-3140.558] (-3138.976) (-3162.246) * (-3145.310) [-3142.898] (-3156.183) (-3163.561) -- 0:01:52
903000 -- (-3154.317) (-3146.133) [-3135.654] (-3154.895) * (-3163.449) (-3130.123) [-3147.754] (-3143.408) -- 0:01:51
904000 -- (-3153.441) [-3150.408] (-3161.834) (-3140.469) * (-3144.557) (-3140.233) (-3142.080) [-3146.519] -- 0:01:50
905000 -- (-3159.668) (-3152.296) (-3144.710) [-3141.019] * [-3139.436] (-3139.317) (-3157.931) (-3152.624) -- 0:01:49
Average standard deviation of split frequencies: 0.006326
906000 -- (-3153.698) [-3144.402] (-3151.846) (-3140.634) * [-3150.327] (-3144.271) (-3163.459) (-3151.177) -- 0:01:48
907000 -- (-3156.775) (-3160.821) [-3135.975] (-3128.714) * [-3137.972] (-3142.816) (-3156.822) (-3149.885) -- 0:01:47
908000 -- (-3154.177) (-3149.538) (-3140.515) [-3140.258] * [-3140.669] (-3140.469) (-3168.762) (-3162.948) -- 0:01:45
909000 -- (-3162.470) (-3141.936) [-3137.296] (-3179.032) * (-3144.764) (-3146.917) (-3161.136) [-3146.578] -- 0:01:44
910000 -- (-3169.291) [-3140.509] (-3137.391) (-3163.737) * (-3143.418) (-3143.352) [-3150.962] (-3147.774) -- 0:01:43
Average standard deviation of split frequencies: 0.006362
911000 -- (-3147.300) (-3168.939) [-3134.606] (-3143.982) * [-3142.792] (-3159.203) (-3149.888) (-3154.733) -- 0:01:42
912000 -- [-3144.601] (-3145.049) (-3155.404) (-3157.901) * (-3153.266) (-3165.875) [-3138.923] (-3166.147) -- 0:01:41
913000 -- (-3152.346) (-3164.454) (-3153.399) [-3157.058] * (-3144.865) (-3151.721) [-3139.105] (-3164.451) -- 0:01:40
914000 -- [-3136.528] (-3137.712) (-3151.587) (-3154.698) * (-3156.723) (-3146.536) [-3130.302] (-3146.794) -- 0:01:39
915000 -- (-3142.531) (-3149.793) [-3133.306] (-3156.904) * (-3163.054) [-3150.998] (-3137.775) (-3152.328) -- 0:01:38
Average standard deviation of split frequencies: 0.006406
916000 -- (-3137.812) (-3153.845) (-3147.493) [-3140.809] * (-3155.928) [-3145.104] (-3152.899) (-3157.356) -- 0:01:37
917000 -- (-3162.489) (-3148.037) (-3156.635) [-3144.471] * [-3132.276] (-3163.962) (-3155.079) (-3145.907) -- 0:01:36
918000 -- [-3142.456] (-3144.083) (-3155.854) (-3136.920) * (-3158.048) (-3145.763) (-3162.059) [-3144.577] -- 0:01:34
919000 -- (-3158.210) [-3132.644] (-3151.520) (-3149.863) * (-3148.217) (-3138.339) [-3146.612] (-3170.571) -- 0:01:33
920000 -- (-3171.741) (-3160.452) (-3155.038) [-3139.333] * [-3130.738] (-3148.094) (-3143.515) (-3166.049) -- 0:01:32
Average standard deviation of split frequencies: 0.006441
921000 -- (-3155.675) (-3152.936) (-3147.342) [-3138.570] * [-3141.140] (-3155.994) (-3132.607) (-3157.904) -- 0:01:31
922000 -- [-3142.318] (-3151.025) (-3146.778) (-3150.115) * (-3154.812) (-3146.324) (-3141.455) [-3142.242] -- 0:01:30
923000 -- (-3155.713) (-3146.842) (-3150.638) [-3139.727] * [-3133.933] (-3155.602) (-3147.145) (-3154.598) -- 0:01:29
924000 -- (-3162.625) (-3160.060) [-3147.439] (-3142.294) * (-3150.199) [-3143.203] (-3159.884) (-3143.364) -- 0:01:27
925000 -- [-3142.244] (-3160.467) (-3145.624) (-3143.268) * (-3152.619) (-3156.660) [-3137.887] (-3142.362) -- 0:01:26
Average standard deviation of split frequencies: 0.006216
926000 -- (-3155.236) (-3154.952) [-3138.157] (-3146.207) * (-3155.506) (-3139.892) [-3144.816] (-3158.358) -- 0:01:25
927000 -- (-3146.883) [-3136.870] (-3164.686) (-3147.060) * (-3170.030) (-3155.504) [-3134.393] (-3148.829) -- 0:01:24
928000 -- [-3138.006] (-3154.915) (-3153.568) (-3146.487) * (-3142.882) (-3149.389) (-3140.939) [-3148.026] -- 0:01:23
929000 -- (-3177.679) [-3150.571] (-3150.585) (-3142.422) * (-3136.836) (-3167.255) [-3152.801] (-3152.343) -- 0:01:22
930000 -- (-3161.041) (-3153.840) (-3140.147) [-3132.021] * [-3133.928] (-3177.892) (-3153.346) (-3164.502) -- 0:01:20
Average standard deviation of split frequencies: 0.005998
931000 -- (-3142.806) [-3144.437] (-3146.067) (-3139.147) * (-3164.218) [-3142.010] (-3152.389) (-3177.244) -- 0:01:19
932000 -- (-3139.477) (-3167.764) [-3141.356] (-3136.438) * (-3162.661) [-3132.222] (-3148.943) (-3167.178) -- 0:01:18
933000 -- (-3165.830) (-3154.754) (-3148.499) [-3144.403] * (-3142.703) [-3142.191] (-3133.976) (-3155.438) -- 0:01:17
934000 -- (-3163.081) [-3153.981] (-3140.807) (-3156.166) * (-3158.595) (-3157.111) (-3143.675) [-3140.644] -- 0:01:16
935000 -- (-3164.457) (-3166.886) (-3137.966) [-3146.981] * (-3140.984) [-3143.705] (-3137.279) (-3151.534) -- 0:01:15
Average standard deviation of split frequencies: 0.005765
936000 -- (-3158.847) (-3166.668) (-3140.705) [-3139.610] * (-3148.282) (-3158.328) (-3148.806) [-3156.206] -- 0:01:13
937000 -- [-3142.579] (-3152.780) (-3148.753) (-3152.577) * (-3153.749) (-3154.878) [-3140.531] (-3138.802) -- 0:01:12
938000 -- (-3155.096) (-3162.658) (-3145.915) [-3144.387] * (-3156.646) (-3163.172) [-3148.423] (-3149.029) -- 0:01:11
939000 -- (-3161.997) (-3158.811) [-3153.325] (-3151.065) * [-3133.859] (-3171.390) (-3135.511) (-3146.454) -- 0:01:10
940000 -- (-3152.157) [-3144.784] (-3144.172) (-3159.422) * (-3138.296) (-3161.992) [-3137.613] (-3147.865) -- 0:01:09
Average standard deviation of split frequencies: 0.006264
941000 -- (-3150.121) (-3143.833) (-3137.315) [-3138.221] * (-3159.783) (-3157.365) (-3158.295) [-3141.725] -- 0:01:08
942000 -- (-3146.430) (-3145.706) [-3138.802] (-3166.848) * (-3150.385) (-3158.262) (-3144.991) [-3151.114] -- 0:01:06
943000 -- (-3147.030) [-3142.881] (-3133.690) (-3159.253) * [-3138.059] (-3183.390) (-3130.822) (-3148.326) -- 0:01:05
944000 -- [-3140.607] (-3159.113) (-3139.244) (-3145.188) * (-3150.854) (-3172.934) (-3157.339) [-3139.025] -- 0:01:04
945000 -- (-3144.376) (-3150.005) [-3139.737] (-3154.232) * (-3165.924) (-3153.867) [-3135.754] (-3144.148) -- 0:01:03
Average standard deviation of split frequencies: 0.005914
946000 -- (-3147.042) (-3157.572) [-3142.162] (-3154.451) * (-3152.273) (-3142.710) (-3140.970) [-3145.299] -- 0:01:02
947000 -- (-3156.079) (-3150.046) (-3145.899) [-3169.015] * (-3156.181) [-3135.607] (-3165.527) (-3147.022) -- 0:01:01
948000 -- [-3139.923] (-3154.439) (-3138.233) (-3152.635) * (-3155.027) (-3146.163) (-3151.110) [-3134.983] -- 0:00:59
949000 -- (-3163.773) [-3147.785] (-3143.169) (-3161.753) * (-3180.317) (-3154.212) [-3158.687] (-3156.043) -- 0:00:58
950000 -- (-3159.526) (-3140.036) (-3144.090) [-3152.980] * (-3155.682) (-3148.651) (-3155.707) [-3152.181] -- 0:00:57
Average standard deviation of split frequencies: 0.005742
951000 -- (-3157.479) (-3159.360) [-3134.774] (-3155.723) * (-3143.498) [-3141.720] (-3147.026) (-3166.324) -- 0:00:56
952000 -- [-3175.049] (-3155.629) (-3159.596) (-3139.640) * (-3134.029) [-3138.190] (-3148.461) (-3161.364) -- 0:00:55
953000 -- (-3162.821) [-3134.564] (-3153.103) (-3145.619) * (-3142.698) [-3131.938] (-3151.745) (-3157.480) -- 0:00:54
954000 -- (-3161.059) [-3148.927] (-3174.667) (-3156.749) * (-3150.861) (-3153.937) (-3164.869) [-3149.741] -- 0:00:52
955000 -- (-3169.735) (-3155.531) [-3141.791] (-3148.567) * (-3143.591) [-3153.895] (-3155.192) (-3147.288) -- 0:00:51
Average standard deviation of split frequencies: 0.005541
956000 -- (-3155.051) (-3166.103) [-3136.335] (-3142.529) * (-3167.763) (-3149.937) [-3139.717] (-3156.631) -- 0:00:50
957000 -- (-3133.027) (-3148.946) [-3139.475] (-3148.327) * (-3148.467) (-3147.347) [-3137.349] (-3144.712) -- 0:00:49
958000 -- (-3143.798) (-3148.476) [-3138.760] (-3143.693) * (-3146.694) (-3145.702) (-3139.426) [-3148.367] -- 0:00:48
959000 -- (-3151.267) [-3137.773] (-3136.199) (-3140.134) * (-3136.987) (-3159.718) [-3133.374] (-3151.548) -- 0:00:47
960000 -- (-3164.726) (-3138.583) (-3148.694) [-3145.272] * (-3142.868) (-3141.607) (-3156.371) [-3133.611] -- 0:00:46
Average standard deviation of split frequencies: 0.005385
961000 -- (-3161.679) (-3159.720) (-3150.091) [-3136.035] * [-3149.105] (-3143.304) (-3154.721) (-3128.125) -- 0:00:44
962000 -- (-3147.055) (-3145.662) (-3163.262) [-3138.627] * [-3138.881] (-3145.239) (-3175.347) (-3146.738) -- 0:00:43
963000 -- [-3141.039] (-3158.886) (-3156.210) (-3143.007) * (-3147.921) (-3147.107) [-3139.193] (-3161.681) -- 0:00:42
964000 -- [-3138.149] (-3148.867) (-3144.995) (-3154.795) * (-3148.423) (-3143.736) (-3140.104) [-3142.602] -- 0:00:41
965000 -- [-3143.541] (-3160.299) (-3152.777) (-3144.129) * (-3147.318) (-3139.952) [-3148.930] (-3146.874) -- 0:00:40
Average standard deviation of split frequencies: 0.005484
966000 -- [-3141.860] (-3149.943) (-3144.753) (-3144.158) * (-3146.392) (-3150.853) [-3138.415] (-3163.687) -- 0:00:39
967000 -- (-3150.202) (-3167.710) [-3147.884] (-3155.559) * (-3143.833) (-3160.298) [-3133.750] (-3156.220) -- 0:00:37
968000 -- (-3159.351) (-3149.303) [-3134.100] (-3135.823) * (-3141.297) [-3147.904] (-3160.072) (-3171.540) -- 0:00:36
969000 -- (-3151.590) (-3160.589) [-3145.953] (-3139.746) * (-3147.383) [-3138.725] (-3143.743) (-3157.372) -- 0:00:35
970000 -- (-3159.442) (-3158.403) (-3160.520) [-3143.595] * (-3136.151) [-3148.654] (-3140.005) (-3151.455) -- 0:00:34
Average standard deviation of split frequencies: 0.005662
971000 -- (-3158.411) (-3145.135) (-3153.060) [-3140.529] * [-3149.647] (-3159.559) (-3160.957) (-3151.105) -- 0:00:33
972000 -- (-3154.294) (-3143.867) (-3145.761) [-3146.524] * [-3134.390] (-3146.319) (-3154.297) (-3169.983) -- 0:00:32
973000 -- [-3138.865] (-3157.755) (-3150.561) (-3157.852) * [-3139.416] (-3140.351) (-3142.279) (-3158.554) -- 0:00:31
974000 -- (-3154.563) (-3149.598) [-3141.690] (-3156.410) * (-3154.988) [-3135.905] (-3142.342) (-3166.580) -- 0:00:29
975000 -- (-3140.989) (-3151.765) (-3146.330) [-3146.665] * [-3143.963] (-3161.799) (-3137.934) (-3166.769) -- 0:00:28
Average standard deviation of split frequencies: 0.005656
976000 -- [-3147.353] (-3153.418) (-3141.632) (-3159.232) * (-3142.259) (-3159.070) (-3139.473) [-3146.733] -- 0:00:27
977000 -- (-3153.251) (-3142.731) [-3142.080] (-3142.124) * (-3154.886) (-3144.704) (-3139.354) [-3141.983] -- 0:00:26
978000 -- [-3137.054] (-3157.997) (-3129.536) (-3147.695) * (-3158.074) (-3160.599) [-3138.951] (-3144.265) -- 0:00:25
979000 -- (-3146.523) (-3166.642) [-3141.859] (-3137.019) * (-3154.483) [-3145.858] (-3134.219) (-3156.197) -- 0:00:24
980000 -- (-3142.692) (-3152.441) (-3136.418) [-3150.373] * (-3148.749) (-3145.784) (-3142.064) [-3140.712] -- 0:00:22
Average standard deviation of split frequencies: 0.005439
981000 -- (-3153.253) (-3146.717) (-3144.493) [-3135.852] * [-3141.631] (-3149.399) (-3142.724) (-3142.271) -- 0:00:21
982000 -- (-3145.024) (-3146.444) [-3157.824] (-3148.894) * (-3151.524) [-3144.934] (-3141.942) (-3137.768) -- 0:00:20
983000 -- [-3142.786] (-3148.304) (-3159.333) (-3158.261) * (-3166.326) (-3141.375) [-3146.067] (-3164.456) -- 0:00:19
984000 -- [-3138.173] (-3135.789) (-3157.033) (-3156.653) * (-3155.878) [-3142.674] (-3145.163) (-3155.643) -- 0:00:18
985000 -- (-3151.845) [-3141.736] (-3144.867) (-3148.216) * (-3159.726) (-3155.937) [-3133.793] (-3159.595) -- 0:00:17
Average standard deviation of split frequencies: 0.005385
986000 -- [-3138.806] (-3151.906) (-3143.636) (-3148.152) * (-3152.062) (-3142.348) [-3141.756] (-3155.241) -- 0:00:16
987000 -- [-3140.600] (-3146.301) (-3142.342) (-3140.142) * (-3149.701) [-3136.100] (-3146.722) (-3152.517) -- 0:00:14
988000 -- (-3140.718) (-3154.339) (-3134.614) [-3134.353] * (-3170.757) (-3155.307) [-3149.097] (-3157.516) -- 0:00:13
989000 -- (-3165.217) (-3162.133) (-3141.896) [-3144.261] * [-3133.051] (-3151.449) (-3150.911) (-3180.616) -- 0:00:12
990000 -- (-3154.181) (-3146.127) [-3132.625] (-3145.789) * (-3130.857) (-3134.858) (-3153.864) [-3143.055] -- 0:00:11
Average standard deviation of split frequencies: 0.005172
991000 -- (-3146.099) (-3147.576) [-3137.073] (-3180.308) * [-3138.370] (-3145.925) (-3153.570) (-3152.113) -- 0:00:10
992000 -- [-3138.674] (-3146.648) (-3148.512) (-3163.472) * [-3137.925] (-3154.699) (-3152.873) (-3152.896) -- 0:00:09
993000 -- [-3140.770] (-3148.666) (-3142.376) (-3164.767) * [-3142.357] (-3155.632) (-3141.064) (-3150.198) -- 0:00:08
994000 -- [-3150.352] (-3160.098) (-3145.475) (-3154.254) * (-3139.371) (-3150.582) [-3137.362] (-3148.220) -- 0:00:06
995000 -- (-3153.219) (-3145.025) (-3150.556) [-3143.542] * [-3149.189] (-3143.982) (-3136.012) (-3135.686) -- 0:00:05
Average standard deviation of split frequencies: 0.005543
996000 -- (-3151.577) (-3156.487) (-3153.173) [-3143.597] * (-3164.255) (-3147.459) [-3129.355] (-3136.619) -- 0:00:04
997000 -- (-3144.500) (-3162.047) (-3149.505) [-3143.619] * (-3159.007) [-3139.801] (-3147.510) (-3136.283) -- 0:00:03
998000 -- (-3162.440) (-3155.830) (-3148.168) [-3142.373] * [-3149.808] (-3149.705) (-3148.594) (-3145.623) -- 0:00:02
999000 -- (-3148.480) (-3152.685) [-3139.535] (-3160.679) * [-3141.945] (-3154.779) (-3148.052) (-3148.830) -- 0:00:01
1000000 -- (-3177.608) (-3152.456) (-3136.821) [-3153.940] * (-3155.643) [-3142.492] (-3160.400) (-3150.964) -- 0:00:00
Average standard deviation of split frequencies: 0.005703
Analysis completed in 19 mins 8 seconds
Analysis used 1147.12 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -3119.81
Likelihood of best state for "cold" chain of run 2 was -3121.52
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
42.0 % ( 36 %) Dirichlet(Revmat{all})
60.1 % ( 45 %) Slider(Revmat{all})
22.6 % ( 30 %) Dirichlet(Pi{all})
26.3 % ( 23 %) Slider(Pi{all})
53.1 % ( 25 %) Multiplier(Alpha{1,2})
54.7 % ( 27 %) Multiplier(Alpha{3})
54.2 % ( 24 %) Slider(Pinvar{all})
47.4 % ( 59 %) ExtSPR(Tau{all},V{all})
39.6 % ( 41 %) ExtTBR(Tau{all},V{all})
53.3 % ( 58 %) NNI(Tau{all},V{all})
39.3 % ( 39 %) ParsSPR(Tau{all},V{all})
27.0 % ( 26 %) Multiplier(V{all})
57.8 % ( 56 %) Nodeslider(V{all})
25.3 % ( 23 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
42.8 % ( 27 %) Dirichlet(Revmat{all})
59.9 % ( 41 %) Slider(Revmat{all})
23.4 % ( 17 %) Dirichlet(Pi{all})
26.3 % ( 24 %) Slider(Pi{all})
53.9 % ( 27 %) Multiplier(Alpha{1,2})
53.9 % ( 35 %) Multiplier(Alpha{3})
54.7 % ( 28 %) Slider(Pinvar{all})
47.0 % ( 50 %) ExtSPR(Tau{all},V{all})
39.5 % ( 51 %) ExtTBR(Tau{all},V{all})
52.9 % ( 53 %) NNI(Tau{all},V{all})
39.3 % ( 40 %) ParsSPR(Tau{all},V{all})
27.0 % ( 28 %) Multiplier(V{all})
57.7 % ( 53 %) Nodeslider(V{all})
25.5 % ( 36 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.54 0.23 0.08
2 | 166401 0.56 0.26
3 | 166564 166741 0.58
4 | 167102 166779 166413
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.53 0.23 0.08
2 | 165973 0.56 0.26
3 | 166685 167105 0.58
4 | 166400 166588 167249
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)
+------------------------------------------------------------+ -3138.03
| 1 2 1 |
| 2 1 |
| 1 2 2 |
| 21 2 1 1 1 2 |
| 1 1 2 2 12 |
| 1 22 2 2 1 1 2|
|2* 1 * 1 2 2 1 12 1 1 2 11 |
| 12 2 2 2 2 2 1 2 2 2 1 2 221|
| 11 22 1 1 11 2 1 1 |
| 1 1 1 1 2 1 2 1 2 |
| 2 2 1 1* 2 1 1 1 1 2 2*22 12 |
| * 2 2 21 * 2 |
| 2 1 2 1 1 |
|1 * |
| 1 2 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -3145.75
^ ^
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 -3128.96 -3167.74
2 -3128.43 -3159.15
--------------------------------------
TOTAL -3128.66 -3167.05
--------------------------------------
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} 0.194232 0.000458 0.153590 0.236824 0.193074 1076.63 1213.86 1.000
r(A<->C){all} 0.047162 0.000186 0.021344 0.072730 0.045939 763.20 857.85 1.000
r(A<->G){all} 0.146633 0.000639 0.099209 0.197053 0.145050 758.01 828.74 1.000
r(A<->T){all} 0.077373 0.000334 0.043865 0.113634 0.075944 782.18 916.80 1.001
r(C<->G){all} 0.029944 0.000160 0.007219 0.053781 0.028403 992.70 1048.52 1.000
r(C<->T){all} 0.597038 0.001606 0.517405 0.676419 0.597680 659.29 750.97 1.000
r(G<->T){all} 0.101850 0.000531 0.060140 0.148827 0.100022 765.70 775.09 1.000
pi(A){all} 0.305734 0.000153 0.279767 0.328475 0.305828 1086.27 1099.56 1.001
pi(C){all} 0.222289 0.000117 0.201826 0.243749 0.222226 953.74 1138.58 1.000
pi(G){all} 0.243854 0.000128 0.222748 0.266676 0.243682 1036.89 1115.54 1.001
pi(T){all} 0.228123 0.000119 0.206699 0.249088 0.227792 1035.43 1124.55 1.000
alpha{1,2} 0.278467 0.031983 0.000558 0.576343 0.247144 951.27 1020.75 1.000
alpha{3} 1.863788 1.327176 0.260714 4.135444 1.626134 795.58 864.59 1.000
pinvar{all} 0.546999 0.011140 0.316082 0.705359 0.569373 588.62 697.00 1.002
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
Setting sumt conformat to Simple
Setting urn-in to 2500
Summarizing trees in files "/data/mrbayes_input.nex.run1.t" and "/data/mrbayes_input.nex.run2.t"
Using relative burnin ('relburnin=yes'), discarding the first 25 % of sampled trees
Writing statistics to files /data/mrbayes_input.nex.<parts|tstat|vstat|trprobs|con>
Examining first file ...
Found one tree block in file "/data/mrbayes_input.nex.run1.t" with 2001 trees in last block
Expecting the same number of trees in the last tree block of all files
Tree reading status:
0 10 20 30 40 50 60 70 80 90 100
v-------v-------v-------v-------v-------v-------v-------v-------v-------v-------v
*********************************************************************************
Read a total of 4002 trees in 2 files (sampling 3002 of them)
(Each file contained 2001 trees of which 1501 were sampled)
General explanation:
In an unrooted tree, a taxon bipartition (split) is specified by removing a
branch, thereby dividing the species into those to the left and those to the
right of the branch. Here, taxa to one side of the removed branch are denoted
'.' and those to the other side are denoted '*'. Specifically, the '.' symbol
is used for the taxa on the same side as the outgroup.
In a rooted or clock tree, the tree is rooted using the model and not by
reference to an outgroup. Each bipartition therefore corresponds to a clade,
that is, a group that includes all the descendants of a particular branch in
the tree. Taxa that are included in each clade are denoted using '*', and
taxa that are not included are denoted using the '.' symbol.
The output first includes a key to all the bipartitions with frequency larger
or equual to (Minpartfreq) in at least one run. Minpartfreq is a parameter to
sumt command and currently it is set to 0.10. This is followed by a table
with statistics for the informative bipartitions (those including at least
two taxa), sorted from highest to lowest probability. For each bipartition,
the table gives the number of times the partition or split was observed in all
runs (#obs) and the posterior probability of the bipartition (Probab.), which
is the same as the split frequency. If several runs are summarized, this is
followed by the minimum split frequency (Min(s)), the maximum frequency
(Max(s)), and the standard deviation of frequencies (Stddev(s)) across runs.
The latter value should approach 0 for all bipartitions as MCMC runs converge.
This is followed by a table summarizing branch lengths, node heights (if a
clock model was used) and relaxed clock parameters (if a relaxed clock model
was used). The mean, variance, and 95 % credible interval are given for each
of these parameters. If several runs are summarized, the potential scale
reduction factor (PSRF) is also given; it should approach 1 as runs converge.
Node heights will take calibration points into account, if such points were
used in the analysis.
Note that Stddev may be unreliable if the partition is not present in all
runs (the last column indicates the number of runs that sampled the partition
if more than one run is summarized). The PSRF is not calculated at all if
the partition is not present in all runs.The PSRF is also sensitive to small
sample sizes and it should only be considered a rough guide to convergence
since some of the assumptions allowing one to interpret it as a true potential
scale reduction factor are violated in MrBayes.
List of taxa in bipartitions:
1 -- C65
2 -- C367
3 -- C199
4 -- C184
5 -- C480
6 -- C245
7 -- C196
8 -- C334
9 -- C191
10 -- C58
11 -- C521
12 -- C337
13 -- C60
14 -- C260
15 -- C272
16 -- C11
17 -- C149
18 -- C111
19 -- C210
20 -- C314
21 -- C292
22 -- C552
23 -- C322
24 -- C7
25 -- C385
26 -- C129
27 -- C136
28 -- C537
29 -- C391
30 -- C142
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 -- .*.*...*..............*.......
------------------------------------
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 3002 1.000000 0.000000 1.000000 1.000000 2
33 3002 1.000000 0.000000 1.000000 1.000000 2
34 3002 1.000000 0.000000 1.000000 1.000000 2
35 2999 0.999001 0.000471 0.998668 0.999334 2
36 2998 0.998668 0.001884 0.997335 1.000000 2
37 2994 0.997335 0.002827 0.995336 0.999334 2
38 2960 0.986009 0.003769 0.983344 0.988674 2
39 1938 0.645570 0.011306 0.637575 0.653564 2
40 1781 0.593271 0.004240 0.590273 0.596269 2
41 1659 0.552632 0.001413 0.551632 0.553631 2
42 1533 0.510660 0.001413 0.509660 0.511659 2
43 1303 0.434044 0.003298 0.431712 0.436376 2
44 1263 0.420720 0.010835 0.413058 0.428381 2
45 1228 0.409061 0.002827 0.407062 0.411059 2
46 1113 0.370753 0.034390 0.346436 0.395070 2
47 1065 0.354763 0.005182 0.351099 0.358428 2
48 1026 0.341772 0.016959 0.329780 0.353764 2
49 1015 0.338108 0.013662 0.328448 0.347768 2
50 961 0.320120 0.003298 0.317788 0.322452 2
51 864 0.287808 0.022612 0.271819 0.303797 2
52 836 0.278481 0.006595 0.273817 0.283145 2
53 790 0.263158 0.001884 0.261825 0.264490 2
54 722 0.240506 0.016017 0.229181 0.251832 2
55 716 0.238508 0.002827 0.236509 0.240506 2
56 695 0.231512 0.002355 0.229847 0.233178 2
57 632 0.210526 0.007537 0.205197 0.215856 2
58 588 0.195869 0.003769 0.193205 0.198534 2
59 582 0.193871 0.000942 0.193205 0.194537 2
60 568 0.189207 0.009422 0.182545 0.195869 2
61 433 0.144237 0.002355 0.142572 0.145903 2
62 422 0.140573 0.007537 0.135243 0.145903 2
63 417 0.138907 0.003298 0.136576 0.141239 2
64 405 0.134910 0.002355 0.133245 0.136576 2
65 402 0.133911 0.001884 0.132578 0.135243 2
66 400 0.133245 0.000942 0.132578 0.133911 2
67 398 0.132578 0.000942 0.131912 0.133245 2
68 322 0.107262 0.005653 0.103264 0.111259 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] 0.009351 0.000009 0.004048 0.015578 0.009025 1.000 2
length{all}[2] 0.000703 0.000000 0.000000 0.002099 0.000501 1.000 2
length{all}[3] 0.001061 0.000001 0.000000 0.002860 0.000815 1.000 2
length{all}[4] 0.004385 0.000003 0.001234 0.007747 0.004207 1.000 2
length{all}[5] 0.008314 0.000009 0.003354 0.014086 0.008041 1.000 2
length{all}[6] 0.005103 0.000004 0.001735 0.009133 0.004868 1.001 2
length{all}[7] 0.001351 0.000001 0.000002 0.003303 0.001104 1.000 2
length{all}[8] 0.004217 0.000003 0.001254 0.007825 0.003954 1.000 2
length{all}[9] 0.002154 0.000002 0.000258 0.004581 0.001920 1.000 2
length{all}[10] 0.004062 0.000005 0.000573 0.008306 0.003727 1.000 2
length{all}[11] 0.001415 0.000001 0.000025 0.003350 0.001200 1.001 2
length{all}[12] 0.007068 0.000006 0.002964 0.012030 0.006780 1.001 2
length{all}[13] 0.004727 0.000004 0.001497 0.008673 0.004455 1.000 2
length{all}[14] 0.013419 0.000012 0.007204 0.020150 0.013038 1.000 2
length{all}[15] 0.002157 0.000002 0.000293 0.004701 0.001882 1.000 2
length{all}[16] 0.002843 0.000002 0.000229 0.005617 0.002606 1.000 2
length{all}[17] 0.000726 0.000001 0.000000 0.002152 0.000503 1.000 2
length{all}[18] 0.000714 0.000001 0.000000 0.002184 0.000487 1.000 2
length{all}[19] 0.000726 0.000001 0.000000 0.002229 0.000494 1.000 2
length{all}[20] 0.000702 0.000001 0.000000 0.002153 0.000475 1.000 2
length{all}[21] 0.000707 0.000001 0.000000 0.002116 0.000488 1.000 2
length{all}[22] 0.000729 0.000001 0.000000 0.002195 0.000490 1.000 2
length{all}[23] 0.000709 0.000001 0.000000 0.002181 0.000484 1.000 2
length{all}[24] 0.000771 0.000001 0.000000 0.002303 0.000538 1.000 2
length{all}[25] 0.001404 0.000001 0.000009 0.003370 0.001162 1.000 2
length{all}[26] 0.000703 0.000001 0.000000 0.002116 0.000485 1.001 2
length{all}[27] 0.003784 0.000003 0.000890 0.007273 0.003533 1.000 2
length{all}[28] 0.000708 0.000001 0.000000 0.002134 0.000501 1.000 2
length{all}[29] 0.003563 0.000003 0.000825 0.006888 0.003342 1.002 2
length{all}[30] 0.003916 0.000004 0.000924 0.007602 0.003635 1.000 2
length{all}[31] 0.015293 0.000018 0.007588 0.023430 0.014895 1.000 2
length{all}[32] 0.015937 0.000016 0.008584 0.023690 0.015649 1.000 2
length{all}[33] 0.012265 0.000014 0.005731 0.019211 0.011899 1.000 2
length{all}[34] 0.020744 0.000023 0.011882 0.030222 0.020193 1.001 2
length{all}[35] 0.002148 0.000002 0.000229 0.004633 0.001924 1.000 2
length{all}[36] 0.010158 0.000011 0.003822 0.016253 0.009825 1.000 2
length{all}[37] 0.003825 0.000004 0.000895 0.007568 0.003523 1.001 2
length{all}[38] 0.003374 0.000003 0.000533 0.006795 0.003083 1.000 2
length{all}[39] 0.001407 0.000001 0.000026 0.003288 0.001176 1.001 2
length{all}[40] 0.001895 0.000002 0.000043 0.004330 0.001665 0.999 2
length{all}[41] 0.001465 0.000001 0.000015 0.003506 0.001231 0.999 2
length{all}[42] 0.001425 0.000001 0.000021 0.003650 0.001148 1.000 2
length{all}[43] 0.000984 0.000001 0.000004 0.002680 0.000767 1.002 2
length{all}[44] 0.001236 0.000001 0.000001 0.003334 0.000934 0.999 2
length{all}[45] 0.001255 0.000001 0.000005 0.003243 0.001009 0.999 2
length{all}[46] 0.001572 0.000001 0.000004 0.003938 0.001289 1.001 2
length{all}[47] 0.003394 0.000004 0.000332 0.006927 0.003022 0.999 2
length{all}[48] 0.000810 0.000001 0.000000 0.002537 0.000528 0.999 2
length{all}[49] 0.000683 0.000000 0.000001 0.001984 0.000467 1.000 2
length{all}[50] 0.000719 0.000000 0.000000 0.002248 0.000487 1.000 2
length{all}[51] 0.001660 0.000002 0.000000 0.004296 0.001343 1.007 2
length{all}[52] 0.001416 0.000001 0.000052 0.003436 0.001226 1.001 2
length{all}[53] 0.001086 0.000001 0.000000 0.003166 0.000773 1.000 2
length{all}[54] 0.000733 0.000001 0.000001 0.002161 0.000511 0.999 2
length{all}[55] 0.000766 0.000001 0.000000 0.002195 0.000538 1.001 2
length{all}[56] 0.000700 0.000000 0.000003 0.001955 0.000499 1.002 2
length{all}[57] 0.001362 0.000001 0.000008 0.003283 0.001099 0.999 2
length{all}[58] 0.000975 0.000001 0.000003 0.003040 0.000688 0.999 2
length{all}[59] 0.000726 0.000001 0.000001 0.002192 0.000482 1.001 2
length{all}[60] 0.000720 0.000000 0.000002 0.002080 0.000521 0.999 2
length{all}[61] 0.001330 0.000001 0.000016 0.003499 0.001053 0.999 2
length{all}[62] 0.000678 0.000000 0.000001 0.002092 0.000455 1.000 2
length{all}[63] 0.000693 0.000000 0.000006 0.002061 0.000473 1.001 2
length{all}[64] 0.000686 0.000000 0.000004 0.001989 0.000517 0.998 2
length{all}[65] 0.000664 0.000000 0.000000 0.001980 0.000454 0.999 2
length{all}[66] 0.000666 0.000000 0.000001 0.002027 0.000468 0.999 2
length{all}[67] 0.000739 0.000001 0.000004 0.002364 0.000520 0.998 2
length{all}[68] 0.001092 0.000001 0.000000 0.003034 0.000846 0.997 2
-------------------------------------------------------------------------------------------
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge. NA is reported when
deviation of parameter values within all runs is 0 or when a parameter
value (a branch length, for instance) is not sampled in all runs.
Summary statistics for partitions with frequency >= 0.10 in at least one run:
Average standard deviation of split frequencies = 0.005703
Maximum standard deviation of split frequencies = 0.034390
Average PSRF for parameter values (excluding NA and >10.0) = 1.000
Maximum PSRF for parameter values = 1.007
Clade credibility values:
/--------------------------------------------------------------------- C65 (1)
|
|--------------------------------------------------------------------- C322 (23)
|
| /---------- C367 (2)
|----------------------------100---------------------------+
| \---------- C334 (8)
|
| /---------- C199 (3)
| /----51---+
| | \---------- C337 (12)
| |
| |-------------------- C245 (6)
| |
| |-------------------- C196 (7)
| |
| |-------------------- C191 (9)
| |
| |-------------------- C521 (11)
| |
| | /---------- C260 (14)
| | |
| | |---------- C111 (18)
| |----65---+
| /----99---+ |---------- C292 (21)
| | | |
+ | | \---------- C552 (22)
| | |
| | |-------------------- C210 (19)
| | |
| | |-------------------- C314 (20)
| | |
| /--------100-------+ |-------------------- C385 (25)
| | | |
| | | |-------------------- C136 (27)
| | | |
| | | |-------------------- C537 (28)
| | | |
| | | \-------------------- C391 (29)
| | |
| | \------------------------------ C142 (30)
| |
| | /-------------------- C480 (5)
| | |
| /----59---+ /---100---+ /---------- C11 (16)
| | | | \---100---+
| | | | \---------- C7 (24)
| | | /---100--+
| | | | | /---------- C272 (15)
| | | | | |
| | | | \--------100--------+---------- C149 (17)
\----55---+ |---100---+ |
| | | \---------- C129 (26)
| | |
| | \--------------------------------------- C58 (10)
| |
| \------------------------------------------------- C60 (13)
|
\----------------------------------------------------------- C184 (4)
Phylogram (based on average branch lengths):
/---------- C65 (1)
|
|- C322 (23)
|
| /- C367 (2)
|-+
| \---- C334 (8)
|
| /- C199 (3)
| /+
| |\------- C337 (12)
| |
| |----- C245 (6)
| |
| |- C196 (7)
| |
| |-- C191 (9)
| |
| |- C521 (11)
| |
| |/-------------- C260 (14)
| ||
| ||- C111 (18)
| |+
| /--+|- C292 (21)
| | ||
+ | |\- C552 (22)
| | |
| | |- C210 (19)
| | |
| | |- C314 (20)
| | |
| /---+ |- C385 (25)
| | | |
| | | |---- C136 (27)
| | | |
| | | |- C537 (28)
| | | |
| | | \---- C391 (29)
| | |
| | \---- C142 (30)
| |
| | /-------- C480 (5)
| | |
|/-+ /---------------+ /--- C11 (16)
|| | | \--------------------+
|| | | \- C7 (24)
|| | /---------+
|| | | | /-- C272 (15)
|| | | | |
|| | | \------------+ C149 (17)
\+ |----------------+ |
| | | \ C129 (26)
| | |
| | \---- C58 (10)
| |
| \----- C60 (13)
|
\----- C184 (4)
|---------| 0.010 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 16:36:47 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/LZW_N_AIJ01345_1_2012_02_China_Unknown_PEDV.result--
-- Starting log on Fri Nov 18 05:33:33 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/LZW_N_AIJ01345_1_2012_02_China_Unknown_PEDV.result/original_alignment/codeml,LZW_N_AIJ01345_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 C260 1323 sites
reading seq# 2 C11 1323 sites
reading seq# 3 C272 1323 sites
reading seq# 4 C521 1323 sites
reading seq# 5 C111 1323 sites
reading seq# 6 C149 1323 sites
reading seq# 7 C210 1323 sites
reading seq# 8 C60 1323 sites
reading seq# 9 C537 1323 sites
reading seq#10 C314 1323 sites
reading seq#11 C367 1323 sites
reading seq#12 C65 1323 sites
reading seq#13 C199 1323 sites
reading seq#14 C292 1323 sites
reading seq#15 C552 1323 sites
reading seq#16 C480 1323 sites
reading seq#17 C184 1323 sites
reading seq#18 C245 1323 sites
reading seq#19 C7 1323 sites
reading seq#20 C322 1323 sites
reading seq#21 C334 1323 sites
reading seq#22 C196 1323 sites
reading seq#23 C129 1323 sites
reading seq#24 C136 1323 sites
reading seq#25 C385 1323 sites
reading seq#26 C58 1323 sites
reading seq#27 C191 1323 sites
reading seq#28 C142 1323 sites
reading seq#29 C391 1323 sites
reading seq#30 C337 1323 sitesns = 30 ls = 1323
Reading sequences, sequential format..
Reading seq # 1: C260
Reading seq # 2: C11
Reading seq # 3: C272
Reading seq # 4: C521
Reading seq # 5: C111
Reading seq # 6: C149
Reading seq # 7: C210
Reading seq # 8: C60
Reading seq # 9: C537
Reading seq #10: C314
Reading seq #11: C367
Reading seq #12: C65
Reading seq #13: C199
Reading seq #14: C292
Reading seq #15: C552
Reading seq #16: C480
Reading seq #17: C184
Reading seq #18: C245
Reading seq #19: C7
Reading seq #20: C322
Reading seq #21: C334
Reading seq #22: C196
Reading seq #23: C129
Reading seq #24: C136
Reading seq #25: C385
Reading seq #26: C58
Reading seq #27: C191
Reading seq #28: C142
Reading seq #29: C391
Reading seq #30: C337
Sequences read..
Counting site patterns.. 0:00
Compressing, 191 patterns at 441 / 441 sites (100.0%), 0:00
Collecting fpatt[] & pose[], 191 patterns at 441 / 441 sites (100.0%), 0:00
Counting codons..
3480 bytes for distance
186416 bytes for conP
16808 bytes for fhK
5000000 bytes for space
Model 1: NearlyNeutral
TREE # 1
(12, 20, (11, 21), (((((13, 30), 18, 22, 27, 4, (1, 5, 14, 15), 7, 10, 25, 24, 9, 29), 28), (((16, (2, 19)), (3, 6, 23)), 26), 8), 17)); MP score: 198
1211704 bytes for conP, adjusted
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
36
0.025844 0.030490 0.057118 0.032950 0.015531 0.011121 0.022637 0.061990 0.028675 0.102234 0.046798 0.011346 0.056456 0.064761 0.080013 0.104681 0.031509 0.010246 0.074281 0.051272 0.023653 0.084683 0.060896 0.073733 0.103869 0.020997 0.076876 0.100493 0.056235 0.096121 0.107318 0.096450 0.092494 0.103593 0.085856 0.080253 0.098949 0.027625 0.070408 0.051640 0.020365 0.079572 0.300000 0.805661 0.186345
ntime & nrate & np: 42 2 45
Bounds (np=45):
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 999.000000 0.999990 1.000000
Qfactor_NS = 17.714971
np = 45
lnL0 = -3713.319294
Iterating by ming2
Initial: fx= 3713.319294
x= 0.02584 0.03049 0.05712 0.03295 0.01553 0.01112 0.02264 0.06199 0.02868 0.10223 0.04680 0.01135 0.05646 0.06476 0.08001 0.10468 0.03151 0.01025 0.07428 0.05127 0.02365 0.08468 0.06090 0.07373 0.10387 0.02100 0.07688 0.10049 0.05623 0.09612 0.10732 0.09645 0.09249 0.10359 0.08586 0.08025 0.09895 0.02763 0.07041 0.05164 0.02036 0.07957 0.30000 0.80566 0.18634
1 h-m-p 0.0000 0.0001 2362.7840 ++ 3532.232398 m 0.0001 50 | 0/45
2 h-m-p 0.0000 0.0000 115536.5331 ++ 3480.528301 m 0.0000 98 | 1/45
3 h-m-p 0.0000 0.0000 2924.2158 ++ 3457.821961 m 0.0000 146 | 2/45
4 h-m-p 0.0000 0.0000 2497.6558 ++ 3436.850609 m 0.0000 194 | 3/45
5 h-m-p 0.0000 0.0000 125698.9627 ++ 3422.309192 m 0.0000 242 | 4/45
6 h-m-p 0.0000 0.0000 18003.5473 ++ 3409.662450 m 0.0000 290 | 5/45
7 h-m-p 0.0000 0.0000 3907.9525 ++ 3347.316053 m 0.0000 338 | 6/45
8 h-m-p 0.0000 0.0000 1175.8994 ++ 3335.519104 m 0.0000 386 | 7/45
9 h-m-p 0.0000 0.0000 1934.2604 ++ 3308.808012 m 0.0000 434 | 8/45
10 h-m-p 0.0000 0.0000 2988.2790 ++ 3286.809284 m 0.0000 482 | 9/45
11 h-m-p 0.0000 0.0000 53803.3224 ++ 3277.989245 m 0.0000 530 | 10/45
12 h-m-p 0.0000 0.0000 7846.5070 ++ 3259.812642 m 0.0000 578 | 11/45
13 h-m-p 0.0000 0.0000 3594.8539 ++ 3256.865409 m 0.0000 626 | 12/45
14 h-m-p 0.0000 0.0000 1623.1327 ++ 3218.950034 m 0.0000 674 | 12/45
15 h-m-p 0.0000 0.0000 10434.6159 +YYCYCYC 3213.742585 6 0.0000 731 | 12/45
16 h-m-p 0.0000 0.0000 10073.4494 +YYYYYYC 3208.805727 6 0.0000 786 | 12/45
17 h-m-p 0.0000 0.0000 1442.4637 +YYYCYCCC 3199.994978 7 0.0000 845 | 12/45
18 h-m-p 0.0000 0.0001 615.4824 +YYYYYYC 3190.856515 6 0.0000 900 | 12/45
19 h-m-p 0.0000 0.0000 1397.7391 +YYYYYYCCCC 3180.413907 9 0.0000 961 | 12/45
20 h-m-p 0.0000 0.0000 2091.6533 YCCCC 3176.055340 4 0.0000 1016 | 12/45
21 h-m-p 0.0000 0.0000 757.5065 +YYYYC 3166.978447 4 0.0000 1069 | 12/45
22 h-m-p 0.0000 0.0000 2421.8422 YCCCC 3162.751725 4 0.0000 1124 | 12/45
23 h-m-p 0.0000 0.0000 1449.5791 +YCCCC 3160.486684 4 0.0000 1180 | 12/45
24 h-m-p 0.0000 0.0000 1253.1147 YCCCC 3157.401558 4 0.0000 1235 | 12/45
25 h-m-p 0.0000 0.0000 1409.7053 +YYCCC 3155.419632 4 0.0000 1290 | 12/45
26 h-m-p 0.0000 0.0000 1427.4976 +YYCCC 3152.909472 4 0.0000 1345 | 12/45
27 h-m-p 0.0000 0.0000 949.0455 +YYCCC 3149.912778 4 0.0000 1400 | 12/45
28 h-m-p 0.0000 0.0000 1942.9780 YCYCCC 3144.301111 5 0.0000 1456 | 12/45
29 h-m-p 0.0000 0.0000 1027.8338 +YYYCCC 3140.367158 5 0.0000 1512 | 12/45
30 h-m-p 0.0000 0.0001 940.5530 +YCYCCC 3134.598467 5 0.0000 1569 | 12/45
31 h-m-p 0.0000 0.0001 2743.7435 +YYCCC 3121.135919 4 0.0000 1624 | 12/45
32 h-m-p 0.0000 0.0001 2786.6288 CCC 3116.594237 2 0.0000 1676 | 12/45
33 h-m-p 0.0000 0.0001 645.5016 CCCC 3115.497870 3 0.0000 1730 | 12/45
34 h-m-p 0.0001 0.0005 145.9620 YCCC 3112.359283 3 0.0002 1783 | 12/45
35 h-m-p 0.0002 0.0011 76.4113 CYC 3111.176671 2 0.0002 1834 | 12/45
36 h-m-p 0.0002 0.0025 83.8335 YCCC 3109.583805 3 0.0003 1887 | 12/45
37 h-m-p 0.0002 0.0032 134.1681 +YCCC 3095.235764 3 0.0018 1941 | 12/45
38 h-m-p 0.0003 0.0014 85.4228 CCCC 3093.506604 3 0.0004 1995 | 12/45
39 h-m-p 0.0007 0.0033 9.9658 +YYYCCC 3089.176186 5 0.0024 2051 | 12/45
40 h-m-p 0.0002 0.0012 41.5397 CCCC 3088.654343 3 0.0004 2105 | 12/45
41 h-m-p 0.0028 0.0246 5.2198 +YYCCC 3083.080129 4 0.0085 2160 | 12/45
42 h-m-p 0.0234 0.1172 1.3063 CCCC 3079.869360 3 0.0311 2214 | 12/45
43 h-m-p 0.0188 0.0940 0.7899 +YCYCCC 3072.413834 5 0.0537 2271 | 12/45
44 h-m-p 0.0002 0.0010 39.1212 YCC 3072.320102 2 0.0001 2355 | 12/45
45 h-m-p 0.0041 0.1620 1.1041 ++YYYYYCCCCC 3065.657493 9 0.0692 2418 | 12/45
46 h-m-p 0.0611 0.3053 0.5150 CYCCC 3061.731539 4 0.1107 2473 | 12/45
47 h-m-p 0.1605 0.8410 0.3552 YCCCC 3054.027236 4 0.4145 2561 | 12/45
48 h-m-p 0.3067 1.5334 0.3829 CCCC 3051.755256 3 0.2301 2648 | 12/45
49 h-m-p 0.2102 1.0510 0.3076 YCYCCC 3047.982536 5 0.5512 2737 | 12/45
50 h-m-p 0.4696 4.5964 0.3611 YCCC 3044.238371 3 0.8571 2823 | 12/45
51 h-m-p 0.8901 4.7995 0.3477 CYC 3042.201934 2 0.9753 2907 | 12/45
52 h-m-p 0.4319 2.1597 0.7516 CCC 3040.714834 2 0.5130 2992 | 12/45
53 h-m-p 0.3454 1.7269 0.8861 CC 3040.271212 1 0.3112 3075 | 12/45
54 h-m-p 1.1294 5.6471 0.0374 CCCC 3038.040097 3 1.7646 3162 | 12/45
55 h-m-p 1.2999 6.4994 0.0488 YCCC 3037.505291 3 0.8276 3248 | 12/45
56 h-m-p 1.6000 8.0000 0.0171 CCC 3037.178676 2 1.4642 3333 | 12/45
57 h-m-p 1.6000 8.0000 0.0097 CC 3036.879446 1 2.4657 3416 | 12/45
58 h-m-p 0.9302 4.6508 0.0157 CCCC 3036.664230 3 1.2903 3503 | 12/45
59 h-m-p 0.7174 8.0000 0.0283 YC 3036.432217 1 1.6730 3585 | 12/45
60 h-m-p 1.6000 8.0000 0.0254 YC 3035.998132 1 3.6474 3667 | 12/45
61 h-m-p 1.6000 8.0000 0.0247 CCC 3035.426064 2 2.4399 3752 | 12/45
62 h-m-p 1.6000 8.0000 0.0071 YCCC 3034.833631 3 2.6223 3838 | 12/45
63 h-m-p 1.2797 8.0000 0.0146 YCCC 3034.231773 3 2.5061 3924 | 12/45
64 h-m-p 0.8642 8.0000 0.0423 +YC 3033.787880 1 2.5147 4007 | 12/45
65 h-m-p 1.6000 8.0000 0.0400 CC 3033.617045 1 1.7568 4090 | 12/45
66 h-m-p 1.6000 8.0000 0.0227 CC 3033.577716 1 2.0427 4173 | 12/45
67 h-m-p 1.6000 8.0000 0.0051 CC 3033.560313 1 2.2300 4256 | 12/45
68 h-m-p 1.6000 8.0000 0.0044 CC 3033.546601 1 2.4453 4339 | 12/45
69 h-m-p 1.6000 8.0000 0.0009 +YC 3033.519315 1 4.3236 4422 | 12/45
70 h-m-p 1.6000 8.0000 0.0018 YC 3033.472427 1 3.8117 4504 | 12/45
71 h-m-p 0.9099 8.0000 0.0076 +YC 3033.425509 1 2.5802 4587 | 12/45
72 h-m-p 1.6000 8.0000 0.0063 CC 3033.408027 1 2.0867 4670 | 12/45
73 h-m-p 1.5630 8.0000 0.0084 CC 3033.397552 1 2.4851 4753 | 12/45
74 h-m-p 1.6000 8.0000 0.0097 C 3033.394575 0 1.4926 4834 | 12/45
75 h-m-p 1.6000 8.0000 0.0044 CC 3033.393227 1 1.9144 4917 | 12/45
76 h-m-p 1.4502 8.0000 0.0058 CC 3033.391308 1 1.9191 5000 | 12/45
77 h-m-p 1.6000 8.0000 0.0019 YC 3033.387815 1 3.1311 5082 | 12/45
78 h-m-p 1.6000 8.0000 0.0007 +YC 3033.376765 1 4.8442 5165 | 12/45
79 h-m-p 1.6000 8.0000 0.0016 CC 3033.364748 1 2.5548 5248 | 12/45
80 h-m-p 1.6000 8.0000 0.0006 CC 3033.358344 1 2.0521 5331 | 12/45
81 h-m-p 0.6585 8.0000 0.0019 +CC 3033.351599 1 2.8510 5415 | 12/45
82 h-m-p 1.6000 8.0000 0.0033 +CC 3033.332234 1 5.7974 5499 | 12/45
83 h-m-p 1.6000 8.0000 0.0058 ++ 3033.230203 m 8.0000 5580 | 12/45
84 h-m-p 1.6000 8.0000 0.0026 +YC 3032.980012 1 4.1122 5663 | 12/45
85 h-m-p 0.4784 8.0000 0.0222 +YC 3032.707157 1 3.2062 5746 | 12/45
86 h-m-p 1.6000 8.0000 0.0094 YCCC 3032.550027 3 2.3826 5832 | 12/45
87 h-m-p 1.6000 8.0000 0.0138 CC 3032.484056 1 2.1221 5915 | 12/45
88 h-m-p 1.6000 8.0000 0.0015 +YC 3032.436903 1 4.2885 5998 | 12/45
89 h-m-p 1.2409 8.0000 0.0050 ++ 3032.206119 m 8.0000 6079 | 12/45
90 h-m-p 1.6000 8.0000 0.0139 YCCC 3031.873562 3 3.3143 6165 | 12/45
91 h-m-p 1.6000 8.0000 0.0152 YCCC 3031.463667 3 3.1052 6251 | 12/45
92 h-m-p 1.6000 8.0000 0.0128 CCC 3031.298038 2 2.2550 6336 | 12/45
93 h-m-p 1.6000 8.0000 0.0034 YCCC 3031.154234 3 3.3868 6422 | 12/45
94 h-m-p 0.7508 8.0000 0.0153 YC 3031.098752 1 1.8028 6504 | 12/45
95 h-m-p 1.6000 8.0000 0.0052 C 3031.085779 0 1.7133 6585 | 12/45
96 h-m-p 1.6000 8.0000 0.0027 C 3031.083771 0 1.5430 6666 | 12/45
97 h-m-p 1.6000 8.0000 0.0003 C 3031.083430 0 1.9614 6747 | 12/45
98 h-m-p 1.6000 8.0000 0.0002 C 3031.083386 0 1.4520 6828 | 12/45
99 h-m-p 1.6000 8.0000 0.0000 C 3031.083384 0 1.4994 6909 | 12/45
100 h-m-p 1.6000 8.0000 0.0000 Y 3031.083384 0 0.8751 6990 | 12/45
101 h-m-p 1.6000 8.0000 0.0000 C 3031.083384 0 0.3865 7071 | 12/45
102 h-m-p 0.1346 8.0000 0.0000 ---------------.. | 12/45
103 h-m-p 0.0023 1.1562 0.0148 ------------ | 12/45
104 h-m-p 0.0023 1.1562 0.0148 ------------
Out..
lnL = -3031.083384
7348 lfun, 22044 eigenQcodon, 617232 P(t)
end of tree file.
Time used: 5:17
Model 2: PositiveSelection
TREE # 1
(12, 20, (11, 21), (((((13, 30), 18, 22, 27, 4, (1, 5, 14, 15), 7, 10, 25, 24, 9, 29), 28), (((16, (2, 19)), (3, 6, 23)), 26), 8), 17)); MP score: 198
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
36
0.060574 0.032738 0.104732 0.058488 0.054471 0.066464 0.096387 0.079473 0.041070 0.105426 0.081378 0.109172 0.042340 0.015091 0.063700 0.105503 0.027475 0.089259 0.019792 0.045227 0.017309 0.040628 0.082589 0.077947 0.058554 0.080339 0.038365 0.077665 0.072547 0.047402 0.028559 0.090333 0.058198 0.023982 0.023768 0.050842 0.103828 0.047448 0.012094 0.017874 0.037574 0.105146 2.764988 0.890365 0.300366 0.144238 1.463322
ntime & nrate & np: 42 3 47
Bounds (np=47):
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 999.000000 99.000000 99.000000 1.000000 999.000000
Qfactor_NS = 4.972251
np = 47
lnL0 = -3528.951597
Iterating by ming2
Initial: fx= 3528.951597
x= 0.06057 0.03274 0.10473 0.05849 0.05447 0.06646 0.09639 0.07947 0.04107 0.10543 0.08138 0.10917 0.04234 0.01509 0.06370 0.10550 0.02747 0.08926 0.01979 0.04523 0.01731 0.04063 0.08259 0.07795 0.05855 0.08034 0.03837 0.07767 0.07255 0.04740 0.02856 0.09033 0.05820 0.02398 0.02377 0.05084 0.10383 0.04745 0.01209 0.01787 0.03757 0.10515 2.76499 0.89036 0.30037 0.14424 1.46332
1 h-m-p 0.0000 0.0000 1458.1025 ++ 3434.296616 m 0.0000 99 | 1/47
2 h-m-p 0.0000 0.0000 7009.0502 ++ 3402.251826 m 0.0000 196 | 2/47
3 h-m-p 0.0000 0.0000 315128.5612 ++ 3387.978474 m 0.0000 292 | 3/47
4 h-m-p 0.0000 0.0000 61269.5636 ++ 3363.252658 m 0.0000 387 | 4/47
5 h-m-p 0.0000 0.0000 3875.6116 ++ 3317.251074 m 0.0000 481 | 5/47
6 h-m-p 0.0000 0.0000 17911.6911 ++ 3277.499014 m 0.0000 574 | 6/47
7 h-m-p 0.0000 0.0000 16660.1494 ++ 3256.431970 m 0.0000 666 | 7/47
8 h-m-p 0.0000 0.0000 12679.0916 ++ 3248.463211 m 0.0000 757 | 8/47
9 h-m-p 0.0000 0.0000 25205.6514 ++ 3209.920414 m 0.0000 847 | 9/47
10 h-m-p 0.0000 0.0000 16978.6783 ++ 3152.339244 m 0.0000 936 | 10/47
11 h-m-p 0.0000 0.0000 4040.2454 ++ 3148.543168 m 0.0000 1024 | 11/47
12 h-m-p 0.0000 0.0000 3113.6873 ++ 3147.967651 m 0.0000 1111 | 12/47
13 h-m-p 0.0000 0.0001 1214.8437 ++ 3118.023805 m 0.0001 1197 | 11/47
14 h-m-p -0.0000 -0.0000 3059.6234
h-m-p: -8.22383642e-23 -4.11191821e-22 3.05962342e+03 3118.023805
.. | 11/47
15 h-m-p 0.0000 0.0000 69787.2557 --YYCYYCC 3111.481056 6 0.0000 1376 | 11/47
16 h-m-p 0.0000 0.0000 2366.0041 ++ 3110.816845 m 0.0000 1462 | 12/47
17 h-m-p 0.0000 0.0000 1311.6942 +YCCYCC 3093.073979 5 0.0000 1558 | 12/47
18 h-m-p 0.0000 0.0000 610640.1658 +YYCYYCCC 3085.817920 7 0.0000 1654 | 12/47
19 h-m-p 0.0000 0.0000 1880.4880 +YYCCC 3081.916970 4 0.0000 1746 | 12/47
20 h-m-p 0.0000 0.0001 856.3579 YCCCC 3077.406585 4 0.0000 1838 | 12/47
21 h-m-p 0.0000 0.0000 676.1443 CCC 3076.315720 2 0.0000 1927 | 12/47
22 h-m-p 0.0000 0.0000 416.8938 YCYCCC 3075.035927 5 0.0000 2020 | 12/47
23 h-m-p 0.0000 0.0000 586.2766 ++ 3074.095792 m 0.0000 2105 | 13/47
24 h-m-p 0.0000 0.0002 192.0849 CCCC 3073.681601 3 0.0000 2196 | 13/47
25 h-m-p 0.0001 0.0009 115.6672 CYC 3073.397672 2 0.0001 2283 | 13/47
26 h-m-p 0.0000 0.0001 186.6076 CYCCC 3073.230975 4 0.0000 2374 | 13/47
27 h-m-p 0.0000 0.0003 313.9599 +YCC 3072.794583 2 0.0001 2462 | 13/47
28 h-m-p 0.0000 0.0005 379.6100 +YCC 3071.711425 2 0.0001 2550 | 13/47
29 h-m-p 0.0001 0.0008 874.5758 +CYCCC 3066.352064 4 0.0003 2642 | 13/47
30 h-m-p 0.0000 0.0002 2465.3816 YCCCC 3059.197492 4 0.0001 2733 | 13/47
31 h-m-p 0.0000 0.0002 3254.3431 CCC 3054.242690 2 0.0001 2821 | 13/47
32 h-m-p 0.0000 0.0001 2159.5120 +YYCCCC 3050.730406 5 0.0001 2914 | 13/47
33 h-m-p 0.0000 0.0001 3341.6472 CCCC 3048.292898 3 0.0000 3004 | 13/47
34 h-m-p 0.0000 0.0001 2992.3519 YCCC 3044.198854 3 0.0001 3093 | 13/47
35 h-m-p 0.0000 0.0001 2468.1528 YCCCC 3041.657053 4 0.0000 3184 | 13/47
36 h-m-p 0.0000 0.0001 1168.1343 CCCC 3040.920082 3 0.0000 3274 | 13/47
37 h-m-p 0.0001 0.0005 119.7892 YC 3040.807735 1 0.0000 3359 | 12/47
38 h-m-p 0.0000 0.0018 160.7043 +CYC 3038.964638 2 0.0002 3447 | 12/47
39 h-m-p 0.0001 0.0007 73.6085 CC 3038.875700 1 0.0001 3534 | 12/47
40 h-m-p 0.0002 0.0020 25.8089 CC 3038.865236 1 0.0000 3621 | 12/47
41 h-m-p 0.0001 0.0051 9.4914 YC 3038.861115 1 0.0001 3707 | 12/47
42 h-m-p 0.0001 0.0038 7.6863 +YC 3038.851118 1 0.0003 3794 | 12/47
43 h-m-p 0.0000 0.0005 53.5944 +CC 3038.802603 1 0.0002 3882 | 12/47
44 h-m-p 0.0000 0.0001 153.6834 ++ 3038.668793 m 0.0001 3967 | 13/47
45 h-m-p 0.0000 0.0007 130.2923 +YCCC 3038.261345 3 0.0002 4058 | 13/47
46 h-m-p 0.0003 0.0016 20.4027 CC 3038.249569 1 0.0001 4144 | 13/47
47 h-m-p 0.0002 0.0055 7.6410 YC 3038.247182 1 0.0001 4229 | 13/47
48 h-m-p 0.0010 0.1328 0.5768 +++YYYCCCC 3037.574495 6 0.0716 4325 | 13/47
49 h-m-p 0.0413 0.4357 1.0006 YC 3036.617047 1 0.0828 4410 | 13/47
50 h-m-p 0.0911 0.9249 0.9089 +YYC 3035.024169 2 0.3010 4497 | 13/47
51 h-m-p 0.3886 1.9431 0.5676 CCC 3034.544952 2 0.3957 4585 | 13/47
52 h-m-p 0.3182 1.5909 0.2486 YCCC 3034.053575 3 0.5695 4674 | 12/47
53 h-m-p 0.1865 3.8007 0.7594 YCCC 3033.851062 3 0.3769 4763 | 12/47
54 h-m-p 0.4718 2.8818 0.6067 YCCC 3033.457262 3 0.8653 4853 | 12/47
55 h-m-p 0.5120 6.6493 1.0253 CC 3032.968407 1 0.5544 4940 | 12/47
56 h-m-p 0.4415 8.0000 1.2872 +YC 3032.133903 1 1.1081 5027 | 12/47
57 h-m-p 1.1596 5.7982 0.3843 CCC 3031.547934 2 1.1910 5116 | 12/47
58 h-m-p 0.6565 8.0000 0.6971 YC 3031.214202 1 1.5920 5202 | 12/47
59 h-m-p 1.6000 8.0000 0.5283 CCCC 3030.718243 3 2.1240 5293 | 12/47
60 h-m-p 0.7897 6.8706 1.4210 CCCCC 3030.287433 4 1.0654 5386 | 12/47
61 h-m-p 1.6000 8.0000 0.4010 YCC 3030.124243 2 0.9863 5474 | 12/47
62 h-m-p 1.2187 8.0000 0.3245 CC 3030.078763 1 1.2014 5561 | 12/47
63 h-m-p 1.3766 8.0000 0.2832 CCC 3030.000170 2 1.7718 5650 | 12/47
64 h-m-p 1.1823 8.0000 0.4244 YC 3029.863304 1 2.7431 5736 | 12/47
65 h-m-p 1.6000 8.0000 0.4503 YC 3029.811457 1 1.0601 5822 | 12/47
66 h-m-p 1.6000 8.0000 0.2518 YC 3029.790256 1 1.1605 5908 | 12/47
67 h-m-p 1.6000 8.0000 0.1762 YC 3029.770221 1 2.7363 5994 | 12/47
68 h-m-p 1.6000 8.0000 0.1237 CC 3029.744261 1 2.1028 6081 | 12/47
69 h-m-p 1.6000 8.0000 0.0836 CC 3029.722866 1 2.1960 6168 | 12/47
70 h-m-p 0.9760 8.0000 0.1882 +CC 3029.668998 1 4.4109 6256 | 12/47
71 h-m-p 1.6000 8.0000 0.3279 +YCC 3029.445407 2 5.1246 6345 | 12/47
72 h-m-p 1.6000 8.0000 0.2834 CC 3029.101299 1 2.2076 6432 | 12/47
73 h-m-p 1.6000 8.0000 0.2547 YCC 3028.724351 2 2.9762 6520 | 12/47
74 h-m-p 1.3227 8.0000 0.5730 YCCC 3028.276551 3 2.8574 6610 | 12/47
75 h-m-p 1.6000 8.0000 0.4211 CC 3028.001669 1 2.0697 6697 | 12/47
76 h-m-p 1.6000 8.0000 0.0874 YCC 3027.794680 2 2.4757 6785 | 12/47
77 h-m-p 0.9155 8.0000 0.2362 YCC 3027.681566 2 1.7674 6873 | 12/47
78 h-m-p 1.6000 8.0000 0.2050 CC 3027.641972 1 1.4718 6960 | 12/47
79 h-m-p 1.6000 8.0000 0.0845 YC 3027.633769 1 1.2412 7046 | 12/47
80 h-m-p 1.6000 8.0000 0.0109 YC 3027.632820 1 1.0547 7132 | 12/47
81 h-m-p 1.6000 8.0000 0.0041 Y 3027.632757 0 0.9820 7217 | 12/47
82 h-m-p 1.3569 8.0000 0.0030 Y 3027.632755 0 0.9603 7302 | 12/47
83 h-m-p 1.6000 8.0000 0.0002 Y 3027.632754 0 1.1838 7387 | 12/47
84 h-m-p 1.6000 8.0000 0.0001 C 3027.632754 0 1.6000 7472 | 12/47
85 h-m-p 1.6000 8.0000 0.0001 ---Y 3027.632754 0 0.0063 7560 | 12/47
86 h-m-p 0.0011 0.5524 11.3701 ----C 3027.632754 0 0.0000 7649 | 12/47
87 h-m-p 0.4421 8.0000 0.0000 ------Y 3027.632754 0 0.0000 7740 | 12/47
88 h-m-p 0.0160 8.0000 0.0015 -------------.. | 12/47
89 h-m-p 0.0008 0.4048 0.0213 -----Y 3027.632754 0 0.0000 7926 | 12/47
90 h-m-p 0.0046 2.3165 0.0109 ------------.. | 12/47
91 h-m-p 0.0008 0.4188 0.0207 -----------
Out..
lnL = -3027.632754
8116 lfun, 32464 eigenQcodon, 1022616 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) = -3039.761830 S = -2908.403022 -123.331849
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 191 patterns 14:11
did 20 / 191 patterns 14:11
did 30 / 191 patterns 14:11
did 40 / 191 patterns 14:11
did 50 / 191 patterns 14:11
did 60 / 191 patterns 14:11
did 70 / 191 patterns 14:11
did 80 / 191 patterns 14:11
did 90 / 191 patterns 14:11
did 100 / 191 patterns 14:11
did 110 / 191 patterns 14:11
did 120 / 191 patterns 14:11
did 130 / 191 patterns 14:11
did 140 / 191 patterns 14:11
did 150 / 191 patterns 14:12
did 160 / 191 patterns 14:12
did 170 / 191 patterns 14:12
did 180 / 191 patterns 14:12
did 190 / 191 patterns 14:12
did 191 / 191 patterns 14:12end of tree file.
Time used: 14:12
Model 7: beta
TREE # 1
(12, 20, (11, 21), (((((13, 30), 18, 22, 27, 4, (1, 5, 14, 15), 7, 10, 25, 24, 9, 29), 28), (((16, (2, 19)), (3, 6, 23)), 26), 8), 17)); MP score: 198
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
36
0.051116 0.021956 0.066018 0.032610 0.030409 0.053004 0.028548 0.081623 0.062200 0.098384 0.010691 0.016905 0.052912 0.024722 0.074028 0.057860 0.070533 0.069374 0.044970 0.041996 0.014696 0.056631 0.066435 0.104945 0.038625 0.019294 0.025602 0.030704 0.040120 0.049060 0.062426 0.033026 0.013770 0.074154 0.038600 0.103896 0.031589 0.037638 0.021657 0.040042 0.094255 0.024852 2.824615 0.238921 1.234065
ntime & nrate & np: 42 1 45
Bounds (np=45):
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 999.000000 99.000000 99.000000
Qfactor_NS = 9.716153
np = 45
lnL0 = -3497.722161
Iterating by ming2
Initial: fx= 3497.722161
x= 0.05112 0.02196 0.06602 0.03261 0.03041 0.05300 0.02855 0.08162 0.06220 0.09838 0.01069 0.01691 0.05291 0.02472 0.07403 0.05786 0.07053 0.06937 0.04497 0.04200 0.01470 0.05663 0.06643 0.10494 0.03863 0.01929 0.02560 0.03070 0.04012 0.04906 0.06243 0.03303 0.01377 0.07415 0.03860 0.10390 0.03159 0.03764 0.02166 0.04004 0.09426 0.02485 2.82461 0.23892 1.23406
1 h-m-p 0.0000 0.0000 2159.7160 ++ 3380.102299 m 0.0000 95 | 1/45
2 h-m-p 0.0000 0.0000 5972.9510 ++ 3349.897057 m 0.0000 188 | 2/45
3 h-m-p 0.0000 0.0000 365930.2224 ++ 3313.196077 m 0.0000 280 | 3/45
4 h-m-p 0.0000 0.0000 60441.6993 ++ 3295.683027 m 0.0000 371 | 4/45
5 h-m-p 0.0000 0.0000 13061.3099 ++ 3293.529806 m 0.0000 461 | 5/45
6 h-m-p 0.0000 0.0000 17012.6034 ++ 3229.252566 m 0.0000 550 | 6/45
7 h-m-p 0.0000 0.0000 11740.7729 ++ 3202.186090 m 0.0000 638 | 7/45
8 h-m-p 0.0000 0.0000 3359.6752 ++ 3188.288479 m 0.0000 725 | 8/45
9 h-m-p 0.0000 0.0000 10287.2865 ++ 3183.003827 m 0.0000 811 | 9/45
10 h-m-p 0.0000 0.0000 14516.7712 ++ 3171.962375 m 0.0000 896 | 10/45
11 h-m-p 0.0000 0.0000 10520.0332 ++ 3137.056428 m 0.0000 980 | 11/45
12 h-m-p 0.0000 0.0000 3924.5836 ++ 3117.861790 m 0.0000 1063 | 12/45
13 h-m-p 0.0000 0.0000 2162.7984 ++ 3072.957265 m 0.0000 1145 | 12/45
14 h-m-p 0.0000 0.0000 2454.5765 +YYCCC 3070.914712 4 0.0000 1233 | 12/45
15 h-m-p 0.0000 0.0000 1250.9862 +YYCYC 3069.627784 4 0.0000 1320 | 12/45
16 h-m-p 0.0000 0.0000 5750.3473 +YYCCC 3063.734503 4 0.0000 1408 | 12/45
17 h-m-p 0.0000 0.0000 696.9616 +YYYYYYC 3057.830620 6 0.0000 1496 | 12/45
18 h-m-p 0.0000 0.0000 983.1726 CCCC 3056.507973 3 0.0000 1583 | 12/45
19 h-m-p 0.0000 0.0000 481.6310 CCCC 3055.219902 3 0.0000 1670 | 12/45
20 h-m-p 0.0000 0.0000 456.5969 +YYCCC 3052.740855 4 0.0000 1758 | 12/45
21 h-m-p 0.0000 0.0000 2096.9387 YCCCC 3051.037967 4 0.0000 1846 | 12/45
22 h-m-p 0.0000 0.0000 520.0163 YCCCC 3049.936411 4 0.0000 1934 | 12/45
23 h-m-p 0.0000 0.0002 217.6590 YCYCCC 3047.574807 5 0.0001 2023 | 12/45
24 h-m-p 0.0000 0.0001 673.0971 CYCCC 3045.662181 4 0.0000 2111 | 12/45
25 h-m-p 0.0000 0.0001 509.5010 CCCC 3044.735942 3 0.0000 2198 | 12/45
26 h-m-p 0.0000 0.0000 653.0408 YCCC 3043.771359 3 0.0000 2284 | 12/45
27 h-m-p 0.0000 0.0002 95.4052 YYYC 3043.547882 3 0.0000 2368 | 12/45
28 h-m-p 0.0001 0.0008 62.9138 CC 3043.242201 1 0.0001 2451 | 12/45
29 h-m-p 0.0001 0.0003 69.2735 CYC 3042.978892 2 0.0001 2535 | 12/45
30 h-m-p 0.0001 0.0010 78.6505 +CCCC 3040.647649 3 0.0003 2623 | 12/45
31 h-m-p 0.0000 0.0002 310.9376 CCCC 3038.792268 3 0.0001 2710 | 12/45
32 h-m-p 0.0001 0.0003 177.1175 CCC 3037.958617 2 0.0001 2795 | 12/45
33 h-m-p 0.0002 0.0008 79.0112 CC 3037.833264 1 0.0000 2878 | 12/45
34 h-m-p 0.0005 0.0076 8.0251 C 3037.827823 0 0.0001 2959 | 12/45
35 h-m-p 0.0003 0.0637 2.9737 ++CCC 3037.670608 2 0.0063 3046 | 12/45
36 h-m-p 0.0002 0.0021 99.4823 YCC 3037.555640 2 0.0001 3130 | 12/45
37 h-m-p 0.0011 0.0172 13.1298 +CYCCC 3036.721969 4 0.0074 3219 | 12/45
38 h-m-p 0.0112 0.0558 3.4212 YYC 3036.541024 2 0.0094 3302 | 12/45
39 h-m-p 0.0045 0.0941 7.1235 +YCCC 3035.422913 3 0.0379 3389 | 12/45
40 h-m-p 0.0161 0.0803 6.1082 YYCCCCC 3034.985687 6 0.0174 3480 | 12/45
41 h-m-p 0.0358 0.1791 0.9386 YCC 3034.826686 2 0.0235 3564 | 12/45
42 h-m-p 0.0255 1.6516 0.8668 +YCCC 3034.220531 3 0.2116 3651 | 12/45
43 h-m-p 0.0565 0.2826 1.7132 CYC 3033.840986 2 0.0536 3735 | 12/45
44 h-m-p 0.1114 0.6790 0.8239 CCCC 3033.690041 3 0.1391 3822 | 12/45
45 h-m-p 0.0689 0.5284 1.6623 CCC 3033.555060 2 0.0883 3907 | 12/45
46 h-m-p 0.4660 4.9863 0.3150 CCC 3033.471073 2 0.3837 3992 | 12/45
47 h-m-p 0.5407 5.9242 0.2235 CC 3033.329142 1 0.6215 4075 | 12/45
48 h-m-p 1.6000 8.0000 0.0386 CYC 3033.136890 2 2.0058 4159 | 12/45
49 h-m-p 1.6000 8.0000 0.0160 CCC 3032.836808 2 2.2783 4244 | 12/45
50 h-m-p 1.6000 8.0000 0.0110 CCC 3032.624850 2 2.0895 4329 | 12/45
51 h-m-p 1.6000 8.0000 0.0125 CC 3032.487541 1 1.6189 4412 | 12/45
52 h-m-p 0.8420 8.0000 0.0240 YC 3032.424217 1 1.7394 4494 | 12/45
53 h-m-p 1.6000 8.0000 0.0126 YC 3032.378630 1 2.6364 4576 | 12/45
54 h-m-p 1.6000 8.0000 0.0044 YC 3032.319895 1 3.1010 4658 | 12/45
55 h-m-p 1.6000 8.0000 0.0020 +YC 3032.175593 1 4.6450 4741 | 12/45
56 h-m-p 1.6000 8.0000 0.0032 YCCC 3031.934072 3 3.1045 4827 | 12/45
57 h-m-p 1.0401 8.0000 0.0096 CCC 3031.803912 2 1.6120 4912 | 12/45
58 h-m-p 1.6000 8.0000 0.0040 CC 3031.722655 1 1.9908 4995 | 12/45
59 h-m-p 1.6000 8.0000 0.0043 C 3031.694104 0 1.6000 5076 | 12/45
60 h-m-p 1.6000 8.0000 0.0029 YC 3031.689797 1 1.2395 5158 | 12/45
61 h-m-p 1.6000 8.0000 0.0022 YC 3031.689126 1 1.2432 5240 | 12/45
62 h-m-p 1.6000 8.0000 0.0003 C 3031.689011 0 1.4298 5321 | 12/45
63 h-m-p 1.6000 8.0000 0.0001 C 3031.689002 0 1.2848 5402 | 12/45
64 h-m-p 1.6000 8.0000 0.0000 Y 3031.689001 0 1.1557 5483 | 12/45
65 h-m-p 1.6000 8.0000 0.0000 Y 3031.689001 0 0.2497 5564 | 12/45
66 h-m-p 0.2323 8.0000 0.0000 ---------Y 3031.689001 0 0.0000 5654
Out..
lnL = -3031.689001
5655 lfun, 62205 eigenQcodon, 2375100 P(t)
end of tree file.
Time used: 32:51
Model 8: beta&w>1
TREE # 1
(12, 20, (11, 21), (((((13, 30), 18, 22, 27, 4, (1, 5, 14, 15), 7, 10, 25, 24, 9, 29), 28), (((16, (2, 19)), (3, 6, 23)), 26), 8), 17)); MP score: 198
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
36
0.070141 0.063405 0.030802 0.086521 0.014326 0.094165 0.108718 0.088720 0.034779 0.086684 0.096330 0.064136 0.047893 0.047491 0.059782 0.077403 0.040563 0.044696 0.106028 0.058015 0.030995 0.047339 0.104145 0.079278 0.095438 0.052926 0.059271 0.102787 0.103010 0.051577 0.068878 0.074361 0.075829 0.050243 0.066050 0.032394 0.066615 0.055416 0.029461 0.064534 0.020968 0.087766 2.793415 0.900000 0.247433 1.136437 1.300000
ntime & nrate & np: 42 2 47
Bounds (np=47):
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 999.000000 0.999990 99.000000 99.000000 999.000000
Qfactor_NS = 7.814006
np = 47
lnL0 = -3588.787000
Iterating by ming2
Initial: fx= 3588.787000
x= 0.07014 0.06340 0.03080 0.08652 0.01433 0.09417 0.10872 0.08872 0.03478 0.08668 0.09633 0.06414 0.04789 0.04749 0.05978 0.07740 0.04056 0.04470 0.10603 0.05801 0.03100 0.04734 0.10414 0.07928 0.09544 0.05293 0.05927 0.10279 0.10301 0.05158 0.06888 0.07436 0.07583 0.05024 0.06605 0.03239 0.06662 0.05542 0.02946 0.06453 0.02097 0.08777 2.79341 0.90000 0.24743 1.13644 1.30000
1 h-m-p 0.0000 0.0001 1591.5498 ++ 3354.719255 m 0.0001 99 | 1/47
2 h-m-p 0.0000 0.0000 5567.7322 ++ 3345.274989 m 0.0000 196 | 2/47
3 h-m-p 0.0000 0.0000 27228.4541 ++ 3279.614782 m 0.0000 292 | 2/47
4 h-m-p 0.0000 0.0000 23106.2623 ++ 3250.776996 m 0.0000 387 | 3/47
5 h-m-p 0.0000 0.0000 11078.8415 ++ 3220.761655 m 0.0000 482 | 4/47
6 h-m-p 0.0000 0.0000 8695.6035 ++ 3208.904710 m 0.0000 576 | 5/47
7 h-m-p 0.0000 0.0000 7734.6806 ++ 3198.681677 m 0.0000 669 | 6/47
8 h-m-p 0.0000 0.0000 2947635.3951 ++ 3179.109767 m 0.0000 761 | 7/47
9 h-m-p 0.0000 0.0000 1593.5012 ++ 3165.719458 m 0.0000 852 | 8/47
10 h-m-p 0.0000 0.0000 4211.9840 ++ 3124.617314 m 0.0000 942 | 9/47
11 h-m-p 0.0000 0.0000 12359.1526 ++ 3108.467745 m 0.0000 1031 | 10/47
12 h-m-p 0.0000 0.0000 5902.9283 ++ 3100.287243 m 0.0000 1119 | 11/47
13 h-m-p 0.0000 0.0000 2992.7995 ++ 3099.022937 m 0.0000 1206 | 12/47
14 h-m-p 0.0000 0.0001 580.2110 +CYYYCYCCC 3091.902091 8 0.0001 1305 | 12/47
15 h-m-p 0.0000 0.0000 490.7592 +YCYCCC 3089.151766 5 0.0000 1399 | 12/47
16 h-m-p 0.0000 0.0001 458.3898 +YYYCYCCC 3083.615879 7 0.0000 1495 | 12/47
17 h-m-p 0.0000 0.0000 2195.6786 YCCCCC 3080.371988 5 0.0000 1589 | 12/47
18 h-m-p 0.0000 0.0001 349.2742 +YYYYCCCCC 3074.257946 8 0.0001 1687 | 12/47
19 h-m-p 0.0000 0.0000 1123.7622 +YYYCCC 3072.502722 5 0.0000 1780 | 12/47
20 h-m-p 0.0000 0.0000 7479.5780 +YYYYYCC 3063.640639 6 0.0000 1873 | 12/47
21 h-m-p 0.0000 0.0000 1379.5507 +YYYYCCCC 3059.176570 7 0.0000 1969 | 12/47
22 h-m-p 0.0000 0.0000 1184.2243 +YYCCCC 3057.943133 5 0.0000 2063 | 12/47
23 h-m-p 0.0000 0.0001 800.7961 +YYYYYYYCCC 3050.890555 10 0.0000 2161 | 12/47
24 h-m-p 0.0000 0.0001 320.1307 CC 3050.467782 1 0.0000 2248 | 12/47
25 h-m-p 0.0000 0.0001 283.2237 CCCC 3050.058351 3 0.0000 2339 | 12/47
26 h-m-p 0.0000 0.0003 142.7392 +YCCC 3049.271182 3 0.0001 2430 | 12/47
27 h-m-p 0.0000 0.0002 336.6700 CCCC 3048.676806 3 0.0000 2521 | 12/47
28 h-m-p 0.0000 0.0003 281.5330 CCC 3048.175076 2 0.0000 2610 | 12/47
29 h-m-p 0.0000 0.0002 209.0064 CYC 3047.936003 2 0.0000 2698 | 12/47
30 h-m-p 0.0000 0.0005 267.7280 +CCCC 3046.649626 3 0.0002 2790 | 12/47
31 h-m-p 0.0000 0.0002 309.3824 YCYCCC 3045.362613 5 0.0001 2883 | 12/47
32 h-m-p 0.0000 0.0001 286.2095 YCCC 3044.995464 3 0.0000 2973 | 12/47
33 h-m-p 0.0005 0.0026 17.0183 CC 3044.952349 1 0.0002 3060 | 12/47
34 h-m-p 0.0002 0.0029 11.0397 YCC 3044.832822 2 0.0004 3148 | 12/47
35 h-m-p 0.0002 0.0022 22.2864 YC 3044.512447 1 0.0004 3234 | 12/47
36 h-m-p 0.0003 0.0016 24.0247 YCC 3044.358663 2 0.0002 3322 | 12/47
37 h-m-p 0.0008 0.0045 7.4424 CYCCC 3043.677821 4 0.0014 3414 | 12/47
38 h-m-p 0.0006 0.0031 15.9401 CCC 3043.636248 2 0.0002 3503 | 12/47
39 h-m-p 0.0003 0.0044 8.2334 +YCC 3043.434306 2 0.0009 3592 | 12/47
40 h-m-p 0.0076 0.3478 1.0049 ++CYCCC 3039.870623 4 0.1621 3686 | 12/47
41 h-m-p 0.0099 0.0493 6.9674 CCCC 3038.244956 3 0.0135 3777 | 12/47
42 h-m-p 0.0183 0.0914 1.7605 YCC 3038.103972 2 0.0145 3865 | 12/47
43 h-m-p 0.0079 0.0415 3.2212 ++ 3037.485747 m 0.0415 3950 | 13/47
44 h-m-p 0.0012 0.0530 7.3308 +YCCC 3037.197939 3 0.0100 4041 | 13/47
45 h-m-p 0.1174 1.0325 0.6248 CCY 3036.585124 2 0.1195 4129 | 13/47
46 h-m-p 0.1229 0.6147 0.1978 YCCCC 3035.788797 4 0.2681 4220 | 13/47
47 h-m-p 0.2335 2.1991 0.2271 YC 3035.509431 1 0.5079 4305 | 13/47
48 h-m-p 0.1939 1.1967 0.5950 CCC 3035.334261 2 0.2410 4393 | 12/47
49 h-m-p 0.0170 0.0978 8.4369 CYCCC 3035.199240 4 0.0356 4484 | 12/47
50 h-m-p 0.0174 0.0872 4.9894 YCCCC 3035.142634 4 0.0191 4576 | 12/47
51 h-m-p 0.8085 5.7743 0.1180 YC 3034.029986 1 1.9973 4662 | 12/47
52 h-m-p 0.4030 2.0150 0.3393 YCYCCC 3033.143452 5 1.0320 4755 | 12/47
53 h-m-p 0.6200 3.9336 0.5648 CC 3032.599401 1 0.5287 4842 | 12/47
54 h-m-p 0.0993 0.4964 1.2515 CYCCC 3032.269147 4 0.1942 4934 | 12/47
55 h-m-p 0.4286 2.1431 0.5320 CYCCC 3031.873009 4 0.7455 5026 | 12/47
56 h-m-p 0.8297 4.1486 0.4321 YCC 3031.585504 2 0.5475 5114 | 12/47
57 h-m-p 0.3988 3.6901 0.5933 +YYYC 3031.055791 3 1.4207 5203 | 12/47
58 h-m-p 1.2743 8.0000 0.6615 YCCC 3030.273851 3 2.3372 5293 | 12/47
59 h-m-p 0.7544 3.7722 0.9813 CCCC 3029.869775 3 0.9826 5384 | 12/47
60 h-m-p 1.4195 8.0000 0.6793 CCC 3029.738996 2 0.3413 5473 | 12/47
61 h-m-p 0.3339 7.2753 0.6943 +YC 3029.620239 1 0.9310 5560 | 12/47
62 h-m-p 1.6000 8.0000 0.3131 YC 3029.585666 1 1.2638 5646 | 12/47
63 h-m-p 1.6000 8.0000 0.1373 C 3029.571720 0 1.6618 5731 | 12/47
64 h-m-p 1.6000 8.0000 0.0518 YC 3029.551545 1 2.8449 5817 | 12/47
65 h-m-p 1.3452 8.0000 0.1096 CC 3029.537948 1 1.9865 5904 | 12/47
66 h-m-p 1.6000 8.0000 0.1288 CC 3029.526130 1 2.2458 5991 | 12/47
67 h-m-p 1.6000 8.0000 0.0222 CC 3029.519137 1 1.9196 6078 | 12/47
68 h-m-p 1.2973 8.0000 0.0329 YC 3029.509004 1 3.0327 6164 | 12/47
69 h-m-p 1.6000 8.0000 0.0179 YC 3029.482531 1 3.2232 6250 | 12/47
70 h-m-p 1.1788 8.0000 0.0488 +YC 3029.432535 1 3.4739 6337 | 12/47
71 h-m-p 1.6000 8.0000 0.0561 YC 3029.351995 1 3.4173 6423 | 12/47
72 h-m-p 1.0222 8.0000 0.1876 +CYC 3029.209954 2 3.8635 6512 | 12/47
73 h-m-p 1.6000 8.0000 0.1869 +YC 3028.942927 1 4.0962 6599 | 12/47
74 h-m-p 1.6000 8.0000 0.3635 CCC 3028.776924 2 2.3353 6688 | 12/47
75 h-m-p 1.6000 8.0000 0.5137 CCC 3028.663875 2 2.0944 6777 | 12/47
76 h-m-p 1.6000 8.0000 0.4616 CYC 3028.582642 2 1.9329 6865 | 12/47
77 h-m-p 1.6000 8.0000 0.4173 CCC 3028.537970 2 2.3948 6954 | 12/47
78 h-m-p 1.6000 8.0000 0.4682 CC 3028.513346 1 1.9618 7041 | 12/47
79 h-m-p 1.6000 8.0000 0.4489 CYC 3028.503295 2 1.8257 7129 | 12/47
80 h-m-p 1.6000 8.0000 0.3192 CC 3028.499787 1 2.0052 7216 | 12/47
81 h-m-p 1.6000 8.0000 0.1604 CC 3028.498659 1 2.2204 7303 | 12/47
82 h-m-p 1.6000 8.0000 0.0508 +YC 3028.496881 1 5.2688 7390 | 12/47
83 h-m-p 1.6000 8.0000 0.1196 YC 3028.494226 1 2.9822 7476 | 12/47
84 h-m-p 1.6000 8.0000 0.1820 C 3028.493453 0 1.6447 7561 | 12/47
85 h-m-p 1.6000 8.0000 0.0107 YC 3028.492910 1 3.8321 7647 | 12/47
86 h-m-p 0.7512 8.0000 0.0548 ++ 3028.489084 m 8.0000 7732 | 12/47
87 h-m-p 1.2570 8.0000 0.3489 ++ 3028.464380 m 8.0000 7817 | 12/47
88 h-m-p 1.6000 8.0000 0.2532 CYC 3028.416052 2 1.7852 7905 | 12/47
89 h-m-p 0.1472 1.6288 3.0702 +YYYYYYYYCC 3028.308955 10 0.6325 8002 | 12/47
90 h-m-p 0.0489 0.2443 12.5139 YCYCCC 3028.232561 5 0.0781 8095 | 12/47
91 h-m-p 0.4486 2.2430 0.8963 YYYYC 3027.996127 4 0.4295 8184 | 12/47
92 h-m-p 0.3201 5.4882 1.2028 YCCC 3027.831208 3 0.6139 8274 | 12/47
93 h-m-p 1.1419 5.7096 0.5662 CYCCC 3027.360857 4 2.2633 8366 | 12/47
94 h-m-p 1.6000 8.0000 0.4010 CYC 3027.254329 2 1.2691 8454 | 12/47
95 h-m-p 1.6000 8.0000 0.2077 CCC 3027.148981 2 1.7512 8543 | 12/47
96 h-m-p 1.6000 8.0000 0.0714 CCC 3027.115888 2 1.4973 8632 | 12/47
97 h-m-p 1.5781 8.0000 0.0677 YCC 3027.103774 2 1.2476 8720 | 12/47
98 h-m-p 1.6000 8.0000 0.0368 CC 3027.101111 1 1.3457 8807 | 12/47
99 h-m-p 1.6000 8.0000 0.0142 YC 3027.100969 1 0.9744 8893 | 12/47
100 h-m-p 1.6000 8.0000 0.0035 Y 3027.100963 0 0.9999 8978 | 12/47
101 h-m-p 1.6000 8.0000 0.0010 C 3027.100963 0 1.3648 9063 | 12/47
102 h-m-p 1.6000 8.0000 0.0001 C 3027.100963 0 1.6000 9148 | 12/47
103 h-m-p 1.6000 8.0000 0.0001 Y 3027.100963 0 0.7074 9233 | 12/47
104 h-m-p 1.6000 8.0000 0.0000 --------Y 3027.100963 0 0.0000 9326
Out..
lnL = -3027.100963
9327 lfun, 111924 eigenQcodon, 4309074 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) = -3037.680043 S = -2908.615182 -139.658533
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 191 patterns 1:03:39
did 20 / 191 patterns 1:03:40
did 30 / 191 patterns 1:03:40
did 40 / 191 patterns 1:03:40
did 50 / 191 patterns 1:03:40
did 60 / 191 patterns 1:03:40
did 70 / 191 patterns 1:03:41
did 80 / 191 patterns 1:03:41
did 90 / 191 patterns 1:03:41
did 100 / 191 patterns 1:03:41
did 110 / 191 patterns 1:03:41
did 120 / 191 patterns 1:03:42
did 130 / 191 patterns 1:03:42
did 140 / 191 patterns 1:03:42
did 150 / 191 patterns 1:03:42
did 160 / 191 patterns 1:03:42
did 170 / 191 patterns 1:03:43
did 180 / 191 patterns 1:03:43
did 190 / 191 patterns 1:03:43
did 191 / 191 patterns 1:03:43end of tree file.
Time used: 1:03:43
The loglikelihoods for models M1, M2, M7 and M8 are -3031.083384 -3027.632754 -3031.689001 -3027.100963 respectively
The loglikelihood for model M2a is significantly different from that for M1a. Twice the difference is 6.901260
The loglikelihood for model M8 is significantly different from that for M7. Twice the difference is 9.176076
CLUSTAL W (1.8) multiple sequence alignment (ALTER 1.3.3)
KNU_1829_N_QDZ36666_1_2018_11_South_Korea_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNEKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWR
85_7_mutant4_N_AST13243_1_2015_09_China_Unknown_PEDV MASVSFQDRGRKRVPLSFYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWR
LW_L_N_QBM00065_1_2010_02_China_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWTEQIRWR
USA_Iowa23_57_2013_NA_AID56755_1_2013_10_20_USA_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWR
FKO_1_JPN_2014_N_BAT33123_1_2014_03_Japan_Pig_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWR
GDS36_N_QCQ19958_1_2011_02_10_China_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWTEQIRWR
IWT_1_JPN_2014_N_BAT33261_1_2014_04_Japan_Pig_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWR
CH_JX_1_2013_NA_AHF20049_1_2013_03_China_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWR
USA_Kansas46_2013_NA_AID56761_1_2013_10_23_USA_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWR
PC22A_P70_NA_APX55545_1_2014_08_01_USA_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWR
PEDV_GER_L01019_K01_15_09_2015_N_SNQ27959_1_NA_NA_Unknown_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWR
CH_SCLS_2018_N_AZL47226_1_2018_01_12_China_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWR
IBR_4_JPN_2014_N_BAT33309_1_2014_04_Japan_Pig_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWR
OH1414_NA_AHN60056_1_2014_01_23_USA_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWR
USA_Minnesota250_2014_NA_AKJ21807_1_2014_02_03_USA_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWR
UNKNOWN_MT843279_NA_QMU85411_1_2013_02_China_Unknown_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWR
HB2018_NA_QOC60270_1_2018_05_China_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWR
KNU_1703_N_AWM11466_1_2017_07_South_Korea_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWR
85_7_C40_N_AST13140_1_2015_09_China_Unknown_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWR
PEDV_1481_Pamplona_Tudela_N_QKV43743_1_2014_06_03_Spain_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWR
PEDV_2149_Castellon_Albocacer_N_QKV43833_1_2018_03_02_Spain_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWR
IBR_2_JPN_2013_N_BAT33183_1_2013_11_Japan_Pig_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWR
GDS16_N_QCQ19946_1_2011_05_25_China_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWTEQIRWR
GDS25_N_QCQ19820_1_2013_01_15_China_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWR
PEDV_MEX_JAL_01_2014_NA_AVU05442_1_2014_07_19_Mexico_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWR
CH_JLDH_2016_NA_ASO67381_1_2016_07_China_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWR
Hawaii_39249_2014_NA_AKO63241_1_2014_11_13_USA_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWR
GDS29_N_QCQ19892_1_2014_07_11_China_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQVRWR
PEDV_MEX_JAL_05_2017_NA_AVU05400_1_2017_02_28_Mexico_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWR
PEDV_8C_N_AJP67412_1_NA_China_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWR
*****************:********:**************************.**:***
KNU_1829_N_QDZ36666_1_2018_11_South_Korea_Swine_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
85_7_mutant4_N_AST13243_1_2015_09_China_Unknown_PEDV MRRGERIEQPSNWHFYYLGTGPHGDLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
LW_L_N_QBM00065_1_2010_02_China_Swine_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
USA_Iowa23_57_2013_NA_AID56755_1_2013_10_20_USA_Swine_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
FKO_1_JPN_2014_N_BAT33123_1_2014_03_Japan_Pig_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
GDS36_N_QCQ19958_1_2011_02_10_China_Swine_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
IWT_1_JPN_2014_N_BAT33261_1_2014_04_Japan_Pig_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
CH_JX_1_2013_NA_AHF20049_1_2013_03_China_Swine_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
USA_Kansas46_2013_NA_AID56761_1_2013_10_23_USA_Swine_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
PC22A_P70_NA_APX55545_1_2014_08_01_USA_Swine_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
PEDV_GER_L01019_K01_15_09_2015_N_SNQ27959_1_NA_NA_Unknown_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
CH_SCLS_2018_N_AZL47226_1_2018_01_12_China_Swine_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
IBR_4_JPN_2014_N_BAT33309_1_2014_04_Japan_Pig_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
OH1414_NA_AHN60056_1_2014_01_23_USA_Swine_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
USA_Minnesota250_2014_NA_AKJ21807_1_2014_02_03_USA_Swine_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
UNKNOWN_MT843279_NA_QMU85411_1_2013_02_China_Unknown_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
HB2018_NA_QOC60270_1_2018_05_China_Swine_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
KNU_1703_N_AWM11466_1_2017_07_South_Korea_Swine_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
85_7_C40_N_AST13140_1_2015_09_China_Unknown_PEDV MRRGERIEQPSNWHFYYLGTGPHGDLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
PEDV_1481_Pamplona_Tudela_N_QKV43743_1_2014_06_03_Spain_Swine_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
PEDV_2149_Castellon_Albocacer_N_QKV43833_1_2018_03_02_Spain_Swine_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
IBR_2_JPN_2013_N_BAT33183_1_2013_11_Japan_Pig_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
GDS16_N_QCQ19946_1_2011_05_25_China_Swine_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
GDS25_N_QCQ19820_1_2013_01_15_China_Swine_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
PEDV_MEX_JAL_01_2014_NA_AVU05442_1_2014_07_19_Mexico_Swine_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
CH_JLDH_2016_NA_ASO67381_1_2016_07_China_Swine_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
Hawaii_39249_2014_NA_AKO63241_1_2014_11_13_USA_Swine_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
GDS29_N_QCQ19892_1_2014_07_11_China_Swine_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
PEDV_MEX_JAL_05_2017_NA_AVU05400_1_2017_02_28_Mexico_Swine_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
PEDV_8C_N_AJP67412_1_NA_China_Swine_PEDV MRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPI
***********************.************************************
KNU_1829_N_QDZ36666_1_2018_11_South_Korea_Swine_PEDV IPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
85_7_mutant4_N_AST13243_1_2015_09_China_Unknown_PEDV IPKFSQQLPIVVEIVEPNTPPASRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
LW_L_N_QBM00065_1_2010_02_China_Swine_PEDV IPKFSQQLPSVVEIVQPNTPPTSRANSRSMSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
USA_Iowa23_57_2013_NA_AID56755_1_2013_10_20_USA_Swine_PEDV IPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNYRSRSPSNNRGNNQSRGNSQNRGN
FKO_1_JPN_2014_N_BAT33123_1_2014_03_Japan_Pig_PEDV IPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
GDS36_N_QCQ19958_1_2011_02_10_China_Swine_PEDV IPKFSQQLPSVVEIVQPNTPPTSRANSRSMSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
IWT_1_JPN_2014_N_BAT33261_1_2014_04_Japan_Pig_PEDV IPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
CH_JX_1_2013_NA_AHF20049_1_2013_03_China_Swine_PEDV IPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
USA_Kansas46_2013_NA_AID56761_1_2013_10_23_USA_Swine_PEDV IPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
PC22A_P70_NA_APX55545_1_2014_08_01_USA_Swine_PEDV IPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
PEDV_GER_L01019_K01_15_09_2015_N_SNQ27959_1_NA_NA_Unknown_PEDV IPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
CH_SCLS_2018_N_AZL47226_1_2018_01_12_China_Swine_PEDV IPNFSQQLPSVVEIVEPNTPLTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
IBR_4_JPN_2014_N_BAT33309_1_2014_04_Japan_Pig_PEDV IPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
OH1414_NA_AHN60056_1_2014_01_23_USA_Swine_PEDV IPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
USA_Minnesota250_2014_NA_AKJ21807_1_2014_02_03_USA_Swine_PEDV IPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
UNKNOWN_MT843279_NA_QMU85411_1_2013_02_China_Unknown_PEDV IPKFSQQLPSVVEIVEPNTPPASRTNSRSRSRGNGNNRSRSPSNNGGNNQSRGNSQNRGN
HB2018_NA_QOC60270_1_2018_05_China_Swine_PEDV IPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
KNU_1703_N_AWM11466_1_2017_07_South_Korea_Swine_PEDV IPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
85_7_C40_N_AST13140_1_2015_09_China_Unknown_PEDV IPKFSQQLPIVVEIVEPNTPPASRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
PEDV_1481_Pamplona_Tudela_N_QKV43743_1_2014_06_03_Spain_Swine_PEDV IPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
PEDV_2149_Castellon_Albocacer_N_QKV43833_1_2018_03_02_Spain_Swine_PEDV IPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
IBR_2_JPN_2013_N_BAT33183_1_2013_11_Japan_Pig_PEDV IPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
GDS16_N_QCQ19946_1_2011_05_25_China_Swine_PEDV IPKFSQQLPSVVEIVQPNTPPTSRANSRSMSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
GDS25_N_QCQ19820_1_2013_01_15_China_Swine_PEDV IPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
PEDV_MEX_JAL_01_2014_NA_AVU05442_1_2014_07_19_Mexico_Swine_PEDV IPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
CH_JLDH_2016_NA_ASO67381_1_2016_07_China_Swine_PEDV IPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
Hawaii_39249_2014_NA_AKO63241_1_2014_11_13_USA_Swine_PEDV IPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
GDS29_N_QCQ19892_1_2014_07_11_China_Swine_PEDV IPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
PEDV_MEX_JAL_05_2017_NA_AVU05400_1_2017_02_28_Mexico_Swine_PEDV IPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
PEDV_8C_N_AJP67412_1_NA_China_Swine_PEDV IPYFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGN
** ****** *****:**** :**:**** ****** ******** **************
KNU_1829_N_QDZ36666_1_2018_11_South_Korea_Swine_PEDV NQGRGASQNRGGNNNNNNKPRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPD
85_7_mutant4_N_AST13243_1_2015_09_China_Unknown_PEDV NQGRGASQNRGGNNNNNNKSRNQSNNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPD
LW_L_N_QBM00065_1_2010_02_China_Swine_PEDV NQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGMTSRDDLVAAVKDAFKSLGIGENPD
USA_Iowa23_57_2013_NA_AID56755_1_2013_10_20_USA_Swine_PEDV NQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPD
FKO_1_JPN_2014_N_BAT33123_1_2014_03_Japan_Pig_PEDV NQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPD
GDS36_N_QCQ19958_1_2011_02_10_China_Swine_PEDV NQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGMTSRDDLVAAVKDALKSLGIGENPD
IWT_1_JPN_2014_N_BAT33261_1_2014_04_Japan_Pig_PEDV NQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPD
CH_JX_1_2013_NA_AHF20049_1_2013_03_China_Swine_PEDV NQGLGASKNRGGNNNNNNKSRNQSKTRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPD
USA_Kansas46_2013_NA_AID56761_1_2013_10_23_USA_Swine_PEDV NQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPD
PC22A_P70_NA_APX55545_1_2014_08_01_USA_Swine_PEDV NQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPD
PEDV_GER_L01019_K01_15_09_2015_N_SNQ27959_1_NA_NA_Unknown_PEDV NQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPD
CH_SCLS_2018_N_AZL47226_1_2018_01_12_China_Swine_PEDV NQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPD
IBR_4_JPN_2014_N_BAT33309_1_2014_04_Japan_Pig_PEDV NQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPD
OH1414_NA_AHN60056_1_2014_01_23_USA_Swine_PEDV NQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPD
USA_Minnesota250_2014_NA_AKJ21807_1_2014_02_03_USA_Swine_PEDV NQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPD
UNKNOWN_MT843279_NA_QMU85411_1_2013_02_China_Unknown_PEDV NQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGMTSRDDLVAAVKDALKSLGIGENPD
HB2018_NA_QOC60270_1_2018_05_China_Swine_PEDV NQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPD
KNU_1703_N_AWM11466_1_2017_07_South_Korea_Swine_PEDV NQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPD
85_7_C40_N_AST13140_1_2015_09_China_Unknown_PEDV NQGRGASQNRGGNNNNNNKSRNQSNNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPD
PEDV_1481_Pamplona_Tudela_N_QKV43743_1_2014_06_03_Spain_Swine_PEDV NQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPD
PEDV_2149_Castellon_Albocacer_N_QKV43833_1_2018_03_02_Spain_Swine_PEDV NPGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPD
IBR_2_JPN_2013_N_BAT33183_1_2013_11_Japan_Pig_PEDV NQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPD
GDS16_N_QCQ19946_1_2011_05_25_China_Swine_PEDV NQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGMTSRDDLVAAVKDALKSLGIGENPD
GDS25_N_QCQ19820_1_2013_01_15_China_Swine_PEDV NQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPD
PEDV_MEX_JAL_01_2014_NA_AVU05442_1_2014_07_19_Mexico_Swine_PEDV NQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPD
CH_JLDH_2016_NA_ASO67381_1_2016_07_China_Swine_PEDV NQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGMTSRDDLVAAVKDALKSLGIGENPD
Hawaii_39249_2014_NA_AKO63241_1_2014_11_13_USA_Swine_PEDV NQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPD
GDS29_N_QCQ19892_1_2014_07_11_China_Swine_PEDV NQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPD
PEDV_MEX_JAL_05_2017_NA_AVU05400_1_2017_02_28_Mexico_Swine_PEDV NQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPD
PEDV_8C_N_AJP67412_1_NA_China_Swine_PEDV NHGRGASQNRGCNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPD
* * ***:*** *******.****:.*********:*************:**********
KNU_1829_N_QDZ36666_1_2018_11_South_Korea_Swine_PEDV KLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
85_7_mutant4_N_AST13243_1_2015_09_China_Unknown_PEDV RHKQQQKPKQEKSDNSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
LW_L_N_QBM00065_1_2010_02_China_Swine_PEDV RLKQQQKRKQEKSDNSGKNTPNKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
USA_Iowa23_57_2013_NA_AID56755_1_2013_10_20_USA_Swine_PEDV KLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
FKO_1_JPN_2014_N_BAT33123_1_2014_03_Japan_Pig_PEDV KLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
GDS36_N_QCQ19958_1_2011_02_10_China_Swine_PEDV RLKQQQKPKQEKSDNSGKNTPNKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
IWT_1_JPN_2014_N_BAT33261_1_2014_04_Japan_Pig_PEDV KLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
CH_JX_1_2013_NA_AHF20049_1_2013_03_China_Swine_PEDV KLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
USA_Kansas46_2013_NA_AID56761_1_2013_10_23_USA_Swine_PEDV KLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
PC22A_P70_NA_APX55545_1_2014_08_01_USA_Swine_PEDV KLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
PEDV_GER_L01019_K01_15_09_2015_N_SNQ27959_1_NA_NA_Unknown_PEDV KLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
CH_SCLS_2018_N_AZL47226_1_2018_01_12_China_Swine_PEDV KLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
IBR_4_JPN_2014_N_BAT33309_1_2014_04_Japan_Pig_PEDV KLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
OH1414_NA_AHN60056_1_2014_01_23_USA_Swine_PEDV KLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
USA_Minnesota250_2014_NA_AKJ21807_1_2014_02_03_USA_Swine_PEDV KLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
UNKNOWN_MT843279_NA_QMU85411_1_2013_02_China_Unknown_PEDV RHKQQQKPKQEKSDNSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
HB2018_NA_QOC60270_1_2018_05_China_Swine_PEDV KLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
KNU_1703_N_AWM11466_1_2017_07_South_Korea_Swine_PEDV KLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
85_7_C40_N_AST13140_1_2015_09_China_Unknown_PEDV RHKQQQKPKQEKSDNSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
PEDV_1481_Pamplona_Tudela_N_QKV43743_1_2014_06_03_Spain_Swine_PEDV KLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
PEDV_2149_Castellon_Albocacer_N_QKV43833_1_2018_03_02_Spain_Swine_PEDV KLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
IBR_2_JPN_2013_N_BAT33183_1_2013_11_Japan_Pig_PEDV KLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
GDS16_N_QCQ19946_1_2011_05_25_China_Swine_PEDV RLKQQQKPKQEKSDNSGKNTPNKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
GDS25_N_QCQ19820_1_2013_01_15_China_Swine_PEDV KLKQQQKPKQERSDSSGKNTPNKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
PEDV_MEX_JAL_01_2014_NA_AVU05442_1_2014_07_19_Mexico_Swine_PEDV KLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
CH_JLDH_2016_NA_ASO67381_1_2016_07_China_Swine_PEDV RLKQQQKPKQEKSDNSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
Hawaii_39249_2014_NA_AKO63241_1_2014_11_13_USA_Swine_PEDV KLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
GDS29_N_QCQ19892_1_2014_07_11_China_Swine_PEDV KLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
PEDV_MEX_JAL_05_2017_NA_AVU05400_1_2017_02_28_Mexico_Swine_PEDV KLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
PEDV_8C_N_AJP67412_1_NA_China_Swine_PEDV KLKHQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGG
: *:*** ***:**.******:**************************************
KNU_1829_N_QDZ36666_1_2018_11_South_Korea_Swine_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
85_7_mutant4_N_AST13243_1_2015_09_China_Unknown_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
LW_L_N_QBM00065_1_2010_02_China_Swine_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
USA_Iowa23_57_2013_NA_AID56755_1_2013_10_20_USA_Swine_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
FKO_1_JPN_2014_N_BAT33123_1_2014_03_Japan_Pig_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
GDS36_N_QCQ19958_1_2011_02_10_China_Swine_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
IWT_1_JPN_2014_N_BAT33261_1_2014_04_Japan_Pig_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
CH_JX_1_2013_NA_AHF20049_1_2013_03_China_Swine_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
USA_Kansas46_2013_NA_AID56761_1_2013_10_23_USA_Swine_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
PC22A_P70_NA_APX55545_1_2014_08_01_USA_Swine_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
PEDV_GER_L01019_K01_15_09_2015_N_SNQ27959_1_NA_NA_Unknown_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYVMTVPKS
CH_SCLS_2018_N_AZL47226_1_2018_01_12_China_Swine_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
IBR_4_JPN_2014_N_BAT33309_1_2014_04_Japan_Pig_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
OH1414_NA_AHN60056_1_2014_01_23_USA_Swine_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
USA_Minnesota250_2014_NA_AKJ21807_1_2014_02_03_USA_Swine_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
UNKNOWN_MT843279_NA_QMU85411_1_2013_02_China_Unknown_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
HB2018_NA_QOC60270_1_2018_05_China_Swine_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
KNU_1703_N_AWM11466_1_2017_07_South_Korea_Swine_PEDV FKNFGDAEFVEKGVDAPGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
85_7_C40_N_AST13140_1_2015_09_China_Unknown_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
PEDV_1481_Pamplona_Tudela_N_QKV43743_1_2014_06_03_Spain_Swine_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
PEDV_2149_Castellon_Albocacer_N_QKV43833_1_2018_03_02_Spain_Swine_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYVMTVPKS
IBR_2_JPN_2013_N_BAT33183_1_2013_11_Japan_Pig_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
GDS16_N_QCQ19946_1_2011_05_25_China_Swine_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
GDS25_N_QCQ19820_1_2013_01_15_China_Swine_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
PEDV_MEX_JAL_01_2014_NA_AVU05442_1_2014_07_19_Mexico_Swine_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
CH_JLDH_2016_NA_ASO67381_1_2016_07_China_Swine_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
Hawaii_39249_2014_NA_AKO63241_1_2014_11_13_USA_Swine_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
GDS29_N_QCQ19892_1_2014_07_11_China_Swine_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
PEDV_MEX_JAL_05_2017_NA_AVU05400_1_2017_02_28_Mexico_Swine_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
PEDV_8C_N_AJP67412_1_NA_China_Swine_PEDV FKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKS
****************.************************************ ******
KNU_1829_N_QDZ36666_1_2018_11_South_Korea_Swine_PEDV DPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWD
85_7_mutant4_N_AST13243_1_2015_09_China_Unknown_PEDV DPNVELLVSQVDAFKTGNAKLQRKKEKKNKRETTLQQHEEAICDDVGAPSDVTHANLEWD
LW_L_N_QBM00065_1_2010_02_China_Swine_PEDV DPNVELLVSQVDAFKTGNVKPQRKKEKKNKRETTQQLNEDAIYDDVGVPSDVTHANLEWD
USA_Iowa23_57_2013_NA_AID56755_1_2013_10_20_USA_Swine_PEDV DPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWD
FKO_1_JPN_2014_N_BAT33123_1_2014_03_Japan_Pig_PEDV DPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWD
GDS36_N_QCQ19958_1_2011_02_10_China_Swine_PEDV DPNVELLVSQVDAFKTGNVKPQRKKEKKNKRETTQQLNEDAIYDDVGVPSDVTHANLEWD
IWT_1_JPN_2014_N_BAT33261_1_2014_04_Japan_Pig_PEDV DPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWD
CH_JX_1_2013_NA_AHF20049_1_2013_03_China_Swine_PEDV DPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEDAIYDDVGLPSDSTHANLEWD
USA_Kansas46_2013_NA_AID56761_1_2013_10_23_USA_Swine_PEDV DPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWD
PC22A_P70_NA_APX55545_1_2014_08_01_USA_Swine_PEDV DPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWD
PEDV_GER_L01019_K01_15_09_2015_N_SNQ27959_1_NA_NA_Unknown_PEDV DPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEDAIYDDVGLPSDSTHANLEWD
CH_SCLS_2018_N_AZL47226_1_2018_01_12_China_Swine_PEDV DPNVELLVSQVDAFKTGNAKPQRKKEKKNMRETTQQLNEDAIYDDVGLPSDSTHANLEWD
IBR_4_JPN_2014_N_BAT33309_1_2014_04_Japan_Pig_PEDV DPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWD
OH1414_NA_AHN60056_1_2014_01_23_USA_Swine_PEDV DPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWD
USA_Minnesota250_2014_NA_AKJ21807_1_2014_02_03_USA_Swine_PEDV DPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWD
UNKNOWN_MT843279_NA_QMU85411_1_2013_02_China_Unknown_PEDV DPNVELLVSQVDAFKTGNAIPQRKKEKKNKRETTQQQNEEAIYDDVGVPSDVTHANLEWD
HB2018_NA_QOC60270_1_2018_05_China_Swine_PEDV DPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEDAIYDDVGLPSDSTHANLEWD
KNU_1703_N_AWM11466_1_2017_07_South_Korea_Swine_PEDV DPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWD
85_7_C40_N_AST13140_1_2015_09_China_Unknown_PEDV DPNVELLVSQVDAFKTGNAKLQRKKEKKNKRETTLQQHEEAICDDVGAPSDVTHANLEWD
PEDV_1481_Pamplona_Tudela_N_QKV43743_1_2014_06_03_Spain_Swine_PEDV DPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEDAIYDDVGLPSDSTHANLEWD
PEDV_2149_Castellon_Albocacer_N_QKV43833_1_2018_03_02_Spain_Swine_PEDV DPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEDAIYDDVGLPSDPTHANLEWD
IBR_2_JPN_2013_N_BAT33183_1_2013_11_Japan_Pig_PEDV DPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWD
GDS16_N_QCQ19946_1_2011_05_25_China_Swine_PEDV DPNVELLVSQVDAFKTGNVKPQRKKEKKNKRETTQQLNEDAIYDDVGVPSDVTHANLEWD
GDS25_N_QCQ19820_1_2013_01_15_China_Swine_PEDV DPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWD
PEDV_MEX_JAL_01_2014_NA_AVU05442_1_2014_07_19_Mexico_Swine_PEDV DPNVELLVSQVDAFKTGNVKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWD
CH_JLDH_2016_NA_ASO67381_1_2016_07_China_Swine_PEDV DPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEDAIYDDVGLPSDSTHANLEWD
Hawaii_39249_2014_NA_AKO63241_1_2014_11_13_USA_Swine_PEDV DPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHDNLEWD
GDS29_N_QCQ19892_1_2014_07_11_China_Swine_PEDV DPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDSTHANLEWD
PEDV_MEX_JAL_05_2017_NA_AVU05400_1_2017_02_28_Mexico_Swine_PEDV DPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWD
PEDV_8C_N_AJP67412_1_NA_China_Swine_PEDV DPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETAQQLNEEAIYDDVGVPSDVTHANLEWD
******************. ******** ***: * :*:** **** *** ** *****
KNU_1829_N_QDZ36666_1_2018_11_South_Korea_Swine_PEDV TAVDGGDTAVEIINEIFDIGN
85_7_mutant4_N_AST13243_1_2015_09_China_Unknown_PEDV TAVDGGDTAVEIINEIFDTGN
LW_L_N_QBM00065_1_2010_02_China_Swine_PEDV TAVDGGDTAVEIINEIFDTGN
USA_Iowa23_57_2013_NA_AID56755_1_2013_10_20_USA_Swine_PEDV TAVDGGDTAVEIINEIFDTGN
FKO_1_JPN_2014_N_BAT33123_1_2014_03_Japan_Pig_PEDV TAVDGGDTAVEIINEIFDTGN
GDS36_N_QCQ19958_1_2011_02_10_China_Swine_PEDV TAVDGGDTAVEIINEIFDTGN
IWT_1_JPN_2014_N_BAT33261_1_2014_04_Japan_Pig_PEDV TAVDGGDTAVEIINEIFDTGN
CH_JX_1_2013_NA_AHF20049_1_2013_03_China_Swine_PEDV TAVDGGDTAVEIINEIFDTGN
USA_Kansas46_2013_NA_AID56761_1_2013_10_23_USA_Swine_PEDV TAVDGGDTAVEIINEIFDTGN
PC22A_P70_NA_APX55545_1_2014_08_01_USA_Swine_PEDV TAVDGGDTAVEIINEIFDTGN
PEDV_GER_L01019_K01_15_09_2015_N_SNQ27959_1_NA_NA_Unknown_PEDV TAVDGGDTAVEIINEIFDTGN
CH_SCLS_2018_N_AZL47226_1_2018_01_12_China_Swine_PEDV SAVDGGDTAVEIINEIFDTGN
IBR_4_JPN_2014_N_BAT33309_1_2014_04_Japan_Pig_PEDV TAVDVGDTAVEIINEIFDTGN
OH1414_NA_AHN60056_1_2014_01_23_USA_Swine_PEDV TAVDGGDTAVEIINEIFDTGN
USA_Minnesota250_2014_NA_AKJ21807_1_2014_02_03_USA_Swine_PEDV TAVDGGDTAVEIINEIFDTGN
UNKNOWN_MT843279_NA_QMU85411_1_2013_02_China_Unknown_PEDV TAVDGGDTAVEIINEIFDTGN
HB2018_NA_QOC60270_1_2018_05_China_Swine_PEDV TAVDGGDTAVEIINEIFDTGN
KNU_1703_N_AWM11466_1_2017_07_South_Korea_Swine_PEDV TAVDGGDTAVEIINEIFDTGN
85_7_C40_N_AST13140_1_2015_09_China_Unknown_PEDV TAVDGGDTAVEIINEIFDTGN
PEDV_1481_Pamplona_Tudela_N_QKV43743_1_2014_06_03_Spain_Swine_PEDV TAVDGGDTAVEIINEIFDTGN
PEDV_2149_Castellon_Albocacer_N_QKV43833_1_2018_03_02_Spain_Swine_PEDV TAVDGGDTAVEIINEIFDTGN
IBR_2_JPN_2013_N_BAT33183_1_2013_11_Japan_Pig_PEDV TAVDGGDTAVEIINEIFDTGN
GDS16_N_QCQ19946_1_2011_05_25_China_Swine_PEDV TAVDGGDTAVEIINEIFDTGN
GDS25_N_QCQ19820_1_2013_01_15_China_Swine_PEDV TAVDGGDTAVEIINEIFDTGN
PEDV_MEX_JAL_01_2014_NA_AVU05442_1_2014_07_19_Mexico_Swine_PEDV TAVDGGDTAVEIINEIFDTGN
CH_JLDH_2016_NA_ASO67381_1_2016_07_China_Swine_PEDV TAVDGGDTAVEIINEIFDTGN
Hawaii_39249_2014_NA_AKO63241_1_2014_11_13_USA_Swine_PEDV TAVDGGDTAVEIINEIFDTGN
GDS29_N_QCQ19892_1_2014_07_11_China_Swine_PEDV TAVDGGDTAVEIINEIFDTGN
PEDV_MEX_JAL_05_2017_NA_AVU05400_1_2017_02_28_Mexico_Swine_PEDV TAVDGGDTAVEIINEIFDTGN
PEDV_8C_N_AJP67412_1_NA_China_Swine_PEDV TAVDVGDTAVEIINEIFDTGN
:*** ************* **
>KNU_1829_N_QDZ36666_1_2018_11_South_Korea_Swine_PEDV ATGGCTTCTGTTAGTTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTCTATGCCCCTCTTAGGGTTACTAATGAAAAACCCCTTTCTAAGGTACTTGCAAATAATGCTGTACCCACTAATAAAGGAAATAAGGACCAGCAAATTGGATATTGGAATGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAACAACCTTCCAATTGGCACTTCTACTACCTCGGAACTGGACCTCACGCTGACCTCCGCTACAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACCAATCTAGGTGTCAGAAAGGCGTCTGAAAAGCCAATTATCCCAAATTTCTCTCAACAGCTTCCCAGCGTAGTTGAGATTGTTGAACCTAACACACCTCCTACTTCACGTGCAAATTCACGTAGCAGGAGTCGTGGTAATGGCAACAACAGGTCCAGATCTCCAAGTAACAACAGAGGCAATAACCAGTCCCGCGGTAATTCACAGAATCGTGGAAATAACCAGGGTCGTGGAGCTTCTCAGAACAGAGGAGGCAATAATAATAACAATAACAAGCCTCGTAACCAGTCCAAGAACAGAAACCAGTCAAATGACCGTGGTGGTGTAACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCCTTAAATCTTTGGGTATTGGCGAAAACCCTGATAAGCTTAAGCAACAGCAGAAGCCCAAACAGGAAAGGTCTGACAGCAGCGGCAAAAATACACCTAAGAAGAACAAATCCAGAGCCACTTCGAAAGAACGTGACCTCAAAGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGGGGAGGCTTCAAAAATTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCCTCAGGCTATGCTCAGATCGCCAGTTTAGCACCAAATGTTGCAGCACTGCTCTTTGGTGGTAATGTGGCTGTCCGTGAGCTAGCGGACTCTTACGAGATTACATATAATTATAAAATGACTGTGCCAAAGTCTGATCCAAATGTAGAGCTTCTTGTTTCACAGGTTGATGCATTTAAAACTGGGAATGCAAAACCCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCACGCAGCAGCTGAATGAAGAGGCCATCTACGATGATGTAGGTGTGCCATCTGATGTGACTCATGCCAATTTGGAATGGGACACAGCTGTTGATGGTGGTGACACGGCCGTTGAAATTATCAACGAGATCTTCGACATAGGAAAT >85_7_mutant4_N_AST13243_1_2015_09_China_Unknown_PEDV ATGGCTTCTGTCAGCTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCTTTCTATGCCCCTCTTAGGGTTACTAATGACAAGCCCCTTTCTAAGGTACTTGCAAACAACGCTGTACCCACTAACAAGGGGAATAAGGACCAGCAAATTGGGTACTGGAATGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAACAACCTTCCAATTGGCATTTCTACTACCTCGGAACAGGACCTCACGGCGACCTCCGTTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAATTTGGGTGTCAGAAAGGCGTCTGAAAAGCCAATCATTCCAAAATTCTCTCAACAGCTCCCCATTGTAGTTGAGATTGTTGAACCTAACACACCTCCTGCTTCACGTGCAAATTCGCGTAGCAGGAGTCGTGGCAATGGCAACAATAGGTCTAGATCTCCAAGTAACAACAGAGGCAATAACCAGTCCCGTGGTAATTCACAGAATCGTGGAAATAACCAGGGTCGTGGAGCTTCTCAGAACAGAGGAGGCAACAATAATAACAATAACAAGTCTCGTAACCAGTCCAATAACAGGAACCAGTCAAATGACCGTGGTGGTGTAACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCACTTAAATCTTTGGGTATTGGAGAAAATCCTGACAGGCATAAGCAACAGCAGAAGCCTAAGCAGGAAAAGTCTGACAACAGTGGCAAAAATACACCTAAGAAGAACAAATCCAGGGCCACTTCGAAGGAACGTGACCTCAAAGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGAGGGGGCTTCAAAAACTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCGTCAGGCTATGCTCAGATCGCCAGTTTAGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGTGAGCTAGCGGACTCTTACGAGATTACATACAACTATAAAATGACTGTGCCAAAGTCAGATCCAAATGTTGAGCTTCTTGTTTCACAGGTGGATGCATTTAAAACTGGGAATGCAAAACTCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCACGCTGCAGCAGCATGAAGAGGCCATCTGCGATGATGTGGGTGCGCCATCTGATGTGACCCATGCCAATCTGGAATGGGACACAGCTGTTGATGGTGGTGATACGGCCGTTGAAATTATCAACGAGATCTTCGATACAGGAAAT >LW_L_N_QBM00065_1_2010_02_China_Swine_PEDV ATGGCTTCTGTCAGTTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTCTATGCCCCTCTTAGGGTTACTAATGACAAACCCCTTTCTAAGGTACTTGCAAACAATGCTGTACCCACTAATAAAGGGAATAAGGACCAGCAAATTGGATACTGGACTGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAACAACCTTCCAATTGGCATTTCTACTACCTTGGAACAGGACCTCACGCCGACCTCCGTTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAACTTGGGTGTCAGAAAAGCGTCTGAAAAGCCAATCATTCCAAAATTCTCTCAACAGCTCCCGAGTGTAGTTGAGATTGTTCAACCCAACACACCTCCTACTTCACGTGCAAATTCACGTAGTATGAGTCGTGGCAATGGCAACAACAGGTCCAGATCCCCGAGTAACAACAGAGGCAACAACCAGTCCCGCGGTAATTCACAGAATCGTGGAAATAACCAGGGTCGTGGAGCTTCTCAGAACAGAGGAGGCAATAATAATAACAATAACAAGTCTCGTAACCAGTCCAAGAACAGAAACCAGTCAAATGACCGTGGTGGAATGACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCTTTAAATCTTTGGGTATTGGAGAAAATCCTGATAGGCTTAAGCAACAACAGAAGCGTAAGCAGGAAAAGTCTGACAACAGCGGCAAAAATACACCTAACAAGAACAAATCCAGGGCCACTTCGAAGGAACGTGACCTCAAGGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGGGGGGGCTTCAAAAATTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCCTCAGGCTATGCTCAGATCGCCAGTTTAGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGCGAGCTAGCGGACTCTTACGAGATTACATACAATTATAAAATGACTGTGCCAAAGTCTGATCCAAATGTTGAGCTTCTTGTTTCACAGGTGGATGCATTTAAAACTGGTAATGTAAAACCCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCACGCAGCAGCTGAATGAAGATGCCATCTACGATGACGTGGGTGTGCCATCTGATGTGACTCATGCCAATTTGGAATGGGACACAGCTGTTGATGGTGGTGACACGGCCGTTGAAATTATCAACGAGATCTTCGATACAGGAAAT >USA_Iowa23_57_2013_NA_AID56755_1_2013_10_20_USA_Swine_PEDV ATGGCTTCTGTCAGTTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTCTATGCCCCTCTTAGGGTTACTAATGACAAACCCCTTTCTAAGGTACTTGCAAATAATGCTGTACCCACTAATAAAGGAAATAAGGACCAGCAAATTGGATACTGGAATGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAACAACCTTCCAATTGGCATTTCTACTACCTCGGAACAGGACCTCACGCCGACCTCCGCTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAACCTGGGTGTCAGAAAGGCGTCTGAAAAGCCAATTATTCCAAATTTCTCTCAACAGCTTCCCAGCGTAGTTGAGATTGTTGAACCTAACACACCTCCTACTTCACGTGCAAATTCACGTAGCAGGAGTCGTGGTAATGGCAACTACAGGTCCAGATCTCCAAGTAACAACAGAGGCAATAACCAGTCCCGCGGTAATTCACAGAATCGTGGAAATAACCAGGGTCGTGGAGCTTCTCAGAACAGAGGAGGCAATAATAATAACAATAACAAGTCTCGTAACCAGTCCAAGAACAGAAACCAGTCAAATGACCGTGGTGGTGTAACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCCTTAAATCTTTGGGTATTGGCGAAAACCCTGACAAGCTTAAGCAACAGCAGAAGCCCAAACAGGAAAGGTCTGACAGCAGCGGCAAAAATACACCTAAGAAGAACAAATCCAGAGCCACTTCGAAAGAACGTGACCTCAAAGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGGGGAGGCTTCAAAAATTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCCTCAGGCTATGCTCAGATCGCCAGTTTAGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGTGAGCTAGCGGACTCTTACGAGATTACATATAATTATAAAATGACTGTGCCAAAGTCTGATCCAAATGTAGAGCTTCTTGTTTCACAGGTGGATGCATTTAAAACTGGGAATGCAAAACCCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCACGCAGCAGCTGAATGAAGAGGCCATCTACGATGATGTGGGTGTGCCATCTGATGTGACTCATGCCAATTTGGAATGGGACACAGCTGTTGATGGTGGTGACACGGCCGTTGAAATTATCAACGAGATCTTCGACACAGGAAAT >FKO_1_JPN_2014_N_BAT33123_1_2014_03_Japan_Pig_PEDV ATGGCTTCTGTCAGTTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTCTATGCCCCTCTTAGGGTTACTAATGACAAACCCCTTTCTAAGGTACTTGCAAATAATGCTGTACCCACTAATAAAGGAAATAAGGACCAGCAAATTGGATACTGGAATGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAACAACCTTCCAATTGGCATTTCTACTACCTCGGAACAGGACCTCACGCTGACCTCCGCTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAACCTGGGTGTCAGAAAGGCGTCTGAAAAGCCAATTATTCCAAATTTCTCTCAACAGCTTCCCAGCGTAGTTGAGATTGTTGAACCTAACACACCTCCTACTTCACGTGCAAATTCACGTAGCAGGAGTCGTGGTAATGGCAACAACAGGTCCAGATCTCCAAGTAACAACAGAGGCAATAACCAGTCCCGCGGTAATTCACAGAATCGTGGAAATAACCAGGGTCGTGGAGCTTCTCAGAACAGAGGAGGCAATAATAATAACAATAACAAGTCTCGTAACCAGTCCAAGAACAGAAACCAGTCAAATGACCGTGGTGGTGTAACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCCTTAAATCTTTGGGTATTGGCGAAAACCCTGACAAGCTTAAGCAACAGCAGAAGCCCAAACAGGAAAGGTCTGACAGCAGCGGCAAAAATACACCTAAGAAGAACAAATCCAGAGCCACTTCGAAAGAACGTGACCTCAAAGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGGGGAGGCTTCAAAAATTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCCTCAGGCTATGCTCAGATCGCCAGTTTAGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGTGAGCTAGCGGACTCTTACGAGATTACATATAATTATAAAATGACTGTGCCAAAGTCTGATCCAAATGTAGAGCTTCTTGTTTCACAGGTGGATGCATTTAAAACTGGGAATGCAAAACCCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCACGCAGCAGCTGAATGAAGAGGCCATCTACGATGATGTGGGTGTGCCATCTGATGTGACTCATGCCAATTTGGAATGGGACACAGCTGTTGATGGTGGTGACACGGCCGTTGAAATTATCAACGAGATCTTCGACACAGGAAAT >GDS36_N_QCQ19958_1_2011_02_10_China_Swine_PEDV ATGGCTTCTGTCAGTTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTCTATGCCCCTCTTAGGGTTACTAATGACAAACCCCTTTCTAAGGTACTTGCAAACAATGCTGTACCCACTAATAAAGGGAATAAGGACCAGCAAATTGGATACTGGACTGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAACAACCTTCCAATTGGCATTTCTACTACCTTGGAACAGGACCTCACGCCGACCTCCGTTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAACTTGGGTGTCAGAAAAGCGTCTGAAAAGCCAATCATTCCAAAATTCTCTCAACAGCTCCCGAGTGTAGTTGAGATTGTTCAACCCAACACACCTCCTACTTCACGTGCAAATTCACGTAGTATGAGTCGTGGCAATGGCAACAACAGGTCCAGATCCCCGAGTAACAACAGAGGCAACAACCAGTCCCGCGGTAATTCACAGAATCGTGGAAATAACCAGGGTCGTGGAGCTTCTCAGAACAGAGGAGGCAATAATAATAACAATAACAAGTCTCGTAACCAGTCCAAGAACAGAAACCAGTCAAATGACCGTGGTGGAATGACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCCTTAAATCTTTGGGTATTGGAGAAAATCCTGATAGGCTTAAGCAACAACAGAAGCCTAAGCAGGAAAAGTCTGACAACAGCGGCAAAAATACACCTAACAAGAACAAATCCAGGGCCACTTCGAAGGAACGTGACCTCAAGGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGGGGGGGCTTCAAAAATTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCCTCAGGCTATGCTCAGATCGCCAGTTTAGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGCGAGCTAGCGGACTCTTACGAGATTACATACAATTATAAAATGACTGTGCCAAAGTCTGATCCAAATGTTGAGCTTCTTGTTTCACAGGTGGATGCATTTAAAACTGGTAATGTAAAACCCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCACGCAGCAGCTGAATGAAGATGCCATCTACGATGACGTGGGTGTGCCATCTGATGTGACTCATGCCAATTTGGAATGGGACACAGCTGTTGATGGTGGTGACACGGCCGTTGAAATTATCAACGAGATCTTCGATACAGGAAAT >IWT_1_JPN_2014_N_BAT33261_1_2014_04_Japan_Pig_PEDV ATGGCTTCTGTCAGTTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTCTATGCCCCTCTTAGGGTTACTAATGACAAACCCCTTTCTAAGGTACTTGCAAATAATGCTGTACCCACTAATAAAGGAAATAAGGACCAGCAAATTGGATACTGGAATGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAACAACCTTCCAATTGGCATTTCTACTACCTCGGAACAGGACCTCACGCCGACCTCCGCTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAACCTGGGTGTCAGAAAGGCGTCTGAAAAGCCAATTATTCCAAATTTCTCTCAACAGCTTCCCAGCGTAGTTGAGATTGTTGAACCTAACACACCTCCTACTTCACGTGCAAATTCACGTAGCAGGAGTCGTGGTAATGGCAACAACAGGTCCAGATCTCCAAGTAACAACAGAGGCAATAACCAGTCCCGCGGTAATTCACAGAATCGTGGAAATAACCAGGGTCGTGGAGCTTCTCAGAACAGAGGAGGCAATAATAATAACAATAACAAGTCTCGTAACCAGTCCAAGAACAGAAACCAGTCAAATGACCGTGGTGGTGTAACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCCTTAAATCTTTGGGTATTGGCGAAAACCCTGACAAGCTTAAGCAACAGCAGAAGCCCAAACAGGAAAGGTCTGACAGCAGCGGCAAAAATACACCTAAGAAGAACAAATCCAGAGCCACTTCGAAAGAACGTGACCTCAAAGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGGGGAGGCTTCAAAAATTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCCTCAGGCTATGCTCAGATCGCCAGTTTAGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGTGAGCTAGCGGACTCTTACGAGATTACATATAATTATAAAATGACTGTGCCAAAGTCTGATCCAAATGTAGAGCTTCTTGTTTCACAGGTGGATGCATTTAAAACTGGGAATGCAAAACCCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCACGCAGCAGCTGAATGAAGAGGCCATCTACGATGATGTGGGTGTGCCATCTGATGTGACTCATGCCAATTTGGAATGGGACACAGCTGTTGATGGTGGTGACACGGCCGTTGAAATTATCAACGAGATCTTCGACACAGGAAAT >CH_JX_1_2013_NA_AHF20049_1_2013_03_China_Swine_PEDV ATGGCTTCTGTCAGTTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTCTATGCCCCTCTTAGGGTTACTAATGACAAACCCCTTTCTAAGGTACTTGCAAATAATGCTGTACCCACTAATAAAGGAAATAAGGACCAGCAAATTGGATACTGGAATGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGTATTGAACAACCTTCCAATTGGCATTTCTACTACCTCGGAACAGGACCTCACGCCGACCTCCGCTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAACCTGGGTGTCAGAAAGGCGTCTGAAAAGCCAATCATTCCAAATTTCTCTCAACAGCTTCCCAGCGTAGTTGAGATTGTTGAACCTAACACACCTCCTACTTCACGTGCAAATTCACGTAGCAGGAGTCGTGGTAATGGCAACAACAGGTCCAGATCTCCAAGTAACAACAGAGGCAATAACCAGTCCCGCGGTAATTCACAGAATCGTGGAAATAACCAGGGTCTTGGAGCTTCTAAGAACAGAGGAGGCAATAATAATAACAATAACAAGTCTCGTAACCAGTCCAAGACCAGAAACCAGTCAAATGACCGTGGTGGTGTAACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCCTTAAATCTTTGGGTATTGGCGAAAACCCTGACAAGCTTAAGCAACAGCAGAAGCCCAAACAGGAAAGGTCTGACAGCAGCGGCAAAAATACACCTAAGAAGAACAAATCCAGAGCCACTTCGAAAGAACGTGACCTCAAAGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCTAGGGGAGGCTTCAAAAATTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCCTCAGGCTATGCTCAGATCGCCAGTTTAGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGTGAGCTAGCGGACTCTTACGAGATTACATACAATTATAAAATGACTGTGCCAAAGTCTGATCCAAATGTAGAGCTTCTTGTTTCACAGGTGGATGCATTTAAAACTGGGAATGCAAAACCCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCACGCAGCAGCTGAATGAAGATGCCATCTACGATGATGTGGGTTTGCCATCTGATTCGACTCATGCCAATTTGGAATGGGACACAGCTGTTGACGGTGGTGACACGGCCGTTGAAATTATCAACGAGATCTTCGATACAGGAAAT >USA_Kansas46_2013_NA_AID56761_1_2013_10_23_USA_Swine_PEDV ATGGCTTCTGTCAGTTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTCTATGCCCCTCTTAGGGTTACTAATGACAAACCCCTTTCTAAGGTACTTGCAAATAATGCTGTACCCACTAATAAAGGAAATAAGGACCAGCAAATTGGATACTGGAATGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAACAACCTTCCAATTGGCATTTCTACTACCTCGGAACAGGACCTCACGCCGACCTCCGCTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAACCTGGGTGTCAGAAAGGCGTCTGAAAAGCCAATTATTCCAAATTTCTCTCAACAGCTTCCCAGCGTAGTTGAGATTGTTGAACCTAACACACCTCCTACTTCACGTGCAAATTCACGTAGCAGGAGTCGTGGTAATGGCAACAACAGGTCCAGATCTCCAAGTAACAACAGAGGCAATAACCAGTCCCGCGGTAATTCACAGAATCGTGGAAATAACCAGGGTCGTGGAGCTTCTCAGAACAGAGGAGGCAATAATAATAACAATAACAAGTCTCGTAACCAGTCCAAGAACAGAAACCAGTCAAATGACCGTGGTGGTGTAACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCCTTAAATCTTTGGGTATTGGCGAAAACCCTGACAAGCTTAAGCAACAGCAGAAGCCCAAACAGGAAAGGTCTGACAGCAGCGGCAAAAATACACCTAAGAAGAACAAATCCAGAGCCACTTCGAAAGAACGTGACCTCAAAGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGGGGAGGCTTCAAAAATTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCCTCAGGCTATGCTCAGATCGCCAGTTTAGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGTGAGCTAGCGGACTCTTACGAGATTACATATAATTATAAAATGACTGTGCCAAAGTCTGATCCAAATGTAGAGCTTCTTGTTTCACAGGTGGATGCATTTAAAACTGGGAATGCAAAACCCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCACGCAGCAGCTGAATGAAGAGGCCATCTACGATGATGTGGGTGTGCCATCTGATGTGACTCATGCCAATTTGGAATGGGACACAGCTGTTGATGGTGGTGACACGGCCGTTGAAATTATCAACGAGATCTTCGACACAGGAAAT >PC22A_P70_NA_APX55545_1_2014_08_01_USA_Swine_PEDV ATGGCTTCTGTCAGTTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTCTATGCCCCTCTTAGGGTTACTAATGACAAACCCCTTTCTAAGGTACTTGCAAATAATGCTGTACCCACTAATAAAGGAAATAAGGACCAGCAAATTGGATACTGGAATGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAACAACCTTCCAATTGGCATTTCTACTACCTCGGAACAGGACCTCACGCCGACCTCCGCTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAACCTGGGTGTCAGAAAGGCGTCTGAAAAGCCAATTATTCCAAATTTCTCTCAACAGCTTCCCAGCGTAGTTGAGATTGTTGAACCTAACACACCTCCTACTTCACGTGCAAATTCACGTAGCAGGAGTCGTGGTAATGGCAACAACAGGTCCAGATCTCCAAGTAACAACAGAGGCAATAACCAGTCCCGCGGTAATTCACAGAATCGTGGAAATAACCAGGGTCGTGGAGCTTCTCAGAACAGAGGAGGCAATAATAATAACAATAACAAGTCTCGTAACCAGTCCAAGAACAGAAACCAGTCAAATGACCGTGGTGGTGTAACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCCTTAAATCTTTGGGTATTGGCGAAAACCCTGACAAGCTTAAGCAACAGCAGAAGCCCAAACAGGAAAGGTCTGACAGCAGCGGCAAAAATACACCTAAGAAGAACAAATCCAGAGCCACTTCGAAAGAACGTGACCTCAAAGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGGGGAGGCTTCAAAAATTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCCTCAGGCTATGCTCAGATCGCCAGTTTAGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGTGAGCTAGCGGACTCTTACGAGATTACATATAATTATAAAATGACTGTGCCAAAGTCTGATCCAAATGTAGAGCTTCTTGTTTCACAGGTGGATGCATTTAAAACTGGGAATGCAAAACCCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCACGCAGCAGCTGAATGAAGAGGCCATCTACGATGATGTGGGTGTGCCATCTGATGTGACTCATGCCAATTTGGAATGGGACACAGCTGTTGATGGTGGTGACACGGCCGTTGAAATTATCAACGAGATCTTCGACACAGGAAAT >PEDV_GER_L01019_K01_15_09_2015_N_SNQ27959_1_NA_NA_Unknown_PEDV ATGGCTTCTGTCAGTTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTCTATGCCCCTCTTAGGGTTACTAATGACAAACCCCTTTCTAAGGTACTTGCAAATAATGCTGTACCCACTAATAAAGGAAATAAGGACCAGCAAATTGGATACTGGAATGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAACAACCTTCCAATTGGCATTTCTACTACCTCGGAACAGGACCTCACGCCGACCTCCGCTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAACCTGGGTGTCAGAAAGGCGTCTGAAAAGCCAATCATTCCAAATTTCTCTCAACAGCTTCCCAGCGTAGTTGAGATTGTTGAACCTAACACACCTCCTACTTCACGTGCAAATTCACGTAGCAGGAGTCGTGGTAATGGCAACAACAGGTCCAGATCTCCAAGTAACAACAGAGGCAATAACCAGTCCCGCGGTAATTCACAGAATCGTGGAAATAACCAGGGTCGTGGAGCTTCTCAGAACAGAGGAGGCAATAATAATAACAATAACAAGTCTCGTAACCAGTCCAAGAACAGAAACCAGTCAAATGACCGTGGTGGTGTAACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCCTTAAATCTTTGGGCATTGGCGAAAACCCTGACAAGCTTAAGCAACAGCAGAAGCCCAAACAGGAAAGGTCTGACAGCAGCGGCAAAAATACACCTAAGAAGAACAAATCCAGAGCCACTTCGAAAGAACGTGACCTTAAAGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGGGGAGGCTTCAAAAATTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCCTCAGGCTATGCCCAGATCGCCAGTTTAGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGTGAGCTAGCGGACTCTTACGAGATTACATACAATTATGTAATGACTGTGCCAAAGTCTGATCCAAATGTAGAGCTTCTTGTTTCACAGGTGGATGCATTTAAAACTGGGAATGCAAAACCCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCACGCAGCAGCTGAATGAAGATGCCATCTACGATGATGTGGGTTTGCCATCTGATTCGACTCATGCCAATTTGGAATGGGACACAGCTGTTGACGGTGGTGACACGGCCGTTGAAATTATCAACGAGATCTTCGATACAGGAAAT >CH_SCLS_2018_N_AZL47226_1_2018_01_12_China_Swine_PEDV ATGGCTTCTGTCAGCTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTCTATGCCCCTCTTAGGGTTACTAATGACAAACCCCTTTCTAAGGTACTTGCAAACAATGCTGTACCCACTAATAAAGGAAATAAGGACCAGCAAATTGGATACTGGAATGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAGCAACCTTCCAATTGGCATTTCTACTACCTCGGAACAGGACCTCACGCCGACCTCCGCTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAACCTGGGTGTCAGAAAGGCGTCTGAAAAGCCAATCATTCCAAATTTCTCTCAACAGCTTCCCAGCGTAGTTGAGATTGTTGAACCTAACACACCTCTTACTTCACGTGCAAATTCACGTAGCAGGAGTCGTGGTAATGGCAACAACAGGTCCAGATCTCCAAGTAACAACAGAGGCAATAACCAGTCCCGCGGTAATTCACAGAATCGTGGAAATAACCAGGGTCGTGGAGCTTCTCAGAACAGAGGAGGCAATAATAATAACAATAACAAGTCTCGTAATCAGTCCAAGAACAGAAACCAGTCAAATGACCGTGGTGGTGTAACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCCTTAAATCTTTGGGCATTGGAGAAAACCCTGACAAGCTTAAGCAACAGCAGAAGCCAAAACAGGAAAGGTCTGACAGCAGCGGCAAAAATACACCTAAGAAGAACAAATCCAGAGCCACTTCGAAAGAACGTGACCTTAAAGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTTGGACCCAGGGGAGGCTTCAAAAATTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCCTCAGGCTATGCCCAGATCGCCAGTTTAGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGTGAGCTAGCGGACTCTTACGAGATTACATACAATTATAAAATGACTGTGCCAAAGTCTGATCCAAATGTAGAGCTTCTTGTTTCACAGGTGGATGCATTTAAAACTGGGAATGCAAAACCCCAGAGAAAGAAGGAAAAGAAGAACATGCGTGAAACCACGCAGCAGCTGAATGAAGATGCCATCTACGATGATGTGGGTTTGCCATCTGATTCGACTCATGCCAATTTGGAATGGGATTCAGCTGTAGACGGTGGTGACACGGCCGTTGAAATTATCAACGAGATCTTCGACACAGGAAAT >IBR_4_JPN_2014_N_BAT33309_1_2014_04_Japan_Pig_PEDV ATGGCTTCTGTCAGTTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTCTATGCCCCTCTTAGGGTTACTAATGACAAACCCCTTTCTAAGGTACTTGCAAATAATGCTGTACCCACTAATAAAGGAAATAAGGACCAGCAAATTGGATACTGGAATGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAACAACCTTCCAATTGGCATTTCTACTACCTCGGAACAGGACCTCACGCCGACCTCCGCTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAACCTGGGTGTCAGAAAGGCGTCTGAAAAGCCAATTATTCCAAATTTCTCTCAACAGCTTCCCAGCGTAGTTGAGATTGTTGAACCTAACACACCTCCTACTTCACGTGCAAATTCACGTAGCAGGAGTCGTGGTAATGGCAACAACAGGTCCAGATCTCCAAGTAACAACAGAGGCAATAACCAGTCCCGCGGTAATTCACAGAATCGTGGAAATAACCAGGGTCGTGGAGCTTCTCAGAACAGAGGAGGCAATAATAATAACAATAACAAGTCTCGTAACCAGTCCAAGAACAGAAACCAGTCAAATGACCGTGGTGGTGTAACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCCTTAAATCTTTGGGTATTGGCGAAAACCCTGACAAGCTTAAGCAACAGCAGAAGCCCAAACAGGAAAGGTCTGACAGCAGCGGCAAAAATACACCTAAGAAGAACAAATCCAGAGCCACTTCGAAAGAACGTGACCTCAAAGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGGGGAGGCTTCAAAAATTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCCTCAGGCTATGCTCAGATCGCCAGTTTAGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGTGAGCTAGCGGACTCTTACGAGATTACATATAATTATAAAATGACTGTGCCAAAGTCTGATCCAAATGTAGAGCTTCTTGTTTCACAGGTGGATGCATTTAAAACTGGGAATGCAAAACCCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCACGCAGCAGCTGAATGAAGAGGCCATCTACGATGATGTGGGTGTGCCATCTGATGTGACTCATGCCAATTTGGAATGGGACACAGCTGTTGATGTTGGTGACACGGCCGTTGAAATTATCAACGAGATCTTCGACACAGGAAAT >OH1414_NA_AHN60056_1_2014_01_23_USA_Swine_PEDV ATGGCTTCTGTCAGTTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTCTATGCCCCTCTTAGGGTTACTAATGACAAACCCCTTTCTAAGGTACTTGCAAATAATGCTGTACCCACTAATAAAGGAAATAAGGACCAGCAAATTGGATACTGGAATGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAACAACCTTCCAATTGGCATTTCTACTACCTCGGAACAGGACCTCACGCTGACCTCCGCTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAACCTGGGTGTCAGAAAGGCGTCTGAAAAGCCAATTATTCCAAATTTCTCTCAACAGCTTCCCAGCGTAGTTGAGATTGTTGAACCTAACACACCTCCTACTTCACGTGCAAATTCACGTAGCAGGAGTCGTGGTAATGGCAACAACAGGTCCAGATCTCCAAGTAACAACAGAGGCAATAACCAGTCCCGCGGTAATTCACAGAATCGTGGAAATAACCAGGGTCGTGGAGCTTCTCAGAACAGAGGAGGCAATAATAATAACAATAACAAGTCTCGTAACCAGTCCAAGAACAGAAACCAGTCAAATGACCGTGGTGGTGTAACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCCTTAAATCTTTGGGTATTGGCGAAAACCCTGACAAGCTTAAGCAACAGCAGAAGCCCAAACAGGAAAGGTCTGACAGCAGCGGCAAAAATACACCTAAGAAGAACAAATCCAGAGCCACTTCGAAAGAACGTGACCTCAAAGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGGGGAGGCTTCAAAAATTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCCTCAGGCTATGCTCAGATCGCCAGTTTAGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGTGAGCTAGCGGACTCTTACGAGATTACATATAATTATAAAATGACTGTGCCAAAGTCTGATCCAAATGTAGAGCTTCTTGTTTCACAGGTGGATGCATTTAAAACTGGGAATGCAAAACCCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCACGCAGCAGCTGAATGAAGAGGCCATCTACGATGATGTGGGTGTGCCATCTGATGTGACTCATGCCAATTTGGAATGGGACACAGCTGTTGATGGTGGTGACACGGCCGTTGAAATTATCAACGAGATCTTCGACACAGGAAAT >USA_Minnesota250_2014_NA_AKJ21807_1_2014_02_03_USA_Swine_PEDV ATGGCTTCTGTCAGTTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTCTATGCCCCTCTTAGGGTTACTAATGACAAACCCCTTTCTAAGGTACTTGCAAATAATGCTGTACCCACTAATAAAGGAAATAAGGACCAGCAAATTGGATACTGGAATGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAACAACCTTCCAATTGGCATTTCTACTACCTCGGAACAGGACCTCACGCTGACCTCCGCTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAACCTGGGTGTCAGAAAGGCGTCTGAAAAGCCAATTATTCCAAATTTCTCTCAACAGCTTCCCAGCGTAGTTGAGATTGTTGAACCTAACACACCTCCTACTTCACGTGCAAATTCACGTAGCAGGAGTCGTGGTAATGGCAACAACAGGTCCAGATCTCCAAGTAACAACAGAGGCAATAACCAGTCCCGCGGTAATTCACAGAATCGTGGAAATAACCAGGGTCGTGGAGCTTCTCAGAACAGAGGAGGCAATAATAATAACAATAACAAGTCTCGTAACCAGTCCAAGAACAGAAACCAGTCAAATGACCGTGGTGGTGTAACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCCTTAAATCTTTGGGTATTGGCGAAAACCCTGACAAGCTTAAGCAACAGCAGAAGCCCAAACAGGAAAGGTCTGACAGCAGCGGCAAAAATACACCTAAGAAGAACAAATCCAGAGCCACTTCGAAAGAACGTGACCTCAAAGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGGGGAGGCTTCAAAAATTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCCTCAGGCTATGCTCAGATCGCCAGTTTAGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGTGAGCTAGCGGACTCTTACGAGATTACATATAATTATAAAATGACTGTGCCAAAGTCTGATCCAAATGTAGAGCTTCTTGTTTCACAGGTGGATGCATTTAAAACTGGGAATGCAAAACCCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCACGCAGCAGCTGAATGAAGAGGCCATCTACGATGATGTGGGTGTGCCATCTGATGTGACTCATGCCAATTTGGAATGGGACACAGCTGTTGATGGTGGTGACACGGCCGTTGAAATTATCAACGAGATCTTCGACACAGGAAAT >UNKNOWN_MT843279_NA_QMU85411_1_2013_02_China_Unknown_PEDV ATGGCTTCTGTCAGCTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTCTATGCCCCTCTTAGGGTTACTAATGACAAACCCCTTTCTAAGGTACTCGCAAACAACGCTGTACCCACTAATAAGGGGAATAAGGACCAGCAAATTGGATACTGGAATGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAACAACCTTCCAATTGGCATTTCTACTACCTCGGAACAGGACCTCACGCCGACCTCCGTTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAACTTGGGTGTCAGAAAGGCGTCTGAAAAGCCAATTATTCCAAAATTCTCTCAACAGCTCCCCAGTGTAGTTGAGATTGTTGAACCTAACACACCTCCTGCTTCACGTACAAATTCGCGTAGCAGGAGTCGTGGCAATGGCAACAACAGGTCCAGATCTCCGAGTAACAACGGAGGCAACAACCAGTCCCGTGGTAATTCACAGAATCGTGGAAATAACCAGGGTCGTGGAGCTTCTCAGAATAGAGGAGGCAATAATAATAACAATAACAAGTCTCGTAACCAGTCCAAGAACAGGAACCAGTCAAATGACCGTGGTGGAATGACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCCTTAAATCTTTGGGTATTGGAGAAAATCCTGACAGGCATAAGCAACAGCAGAAGCCTAAGCAGGAAAAGTCTGACAACAGCGGAAAAAATACACCTAAGAAGAACAAATCCAGGGCCACTTCGAAGGAACGTGACCTCAAAGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGGGGGGGCTTCAAAAATTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCGTCAGGCTATGCTCAGATCGCCAGTTTGGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGTGAGCTAGCGGACTCTTACGAGATTACATATAACTATAAAATGACTGTGCCAAAGTCTGATCCAAATGTTGAGCTTCTTGTTTCACAGGTGGATGCATTTAAAACTGGGAATGCAATACCCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCACGCAGCAGCAGAATGAAGAGGCCATCTACGATGATGTGGGTGTGCCATCTGATGTGACCCATGCCAATCTGGAATGGGACACAGCTGTTGATGGTGGTGACACGGCCGTTGAAATTATCAACGAGATCTTCGACACAGGAAAT >HB2018_NA_QOC60270_1_2018_05_China_Swine_PEDV ATGGCTTCTGTCAGTTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTCTATGCCCCTCTTAGGGTTACTAATGACAAACCCCTTTCTAAGGTACTTGCAAATAATGCTGTACCCACTAATAAAGGAAATAAGGACCAGCAAATTGGATATTGGAATGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAACAACCTTCCAATTGGCATTTCTACTACCTCGGAACAGGACCTCACGCCGACCTCCGCTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAACCTGGGTGTCAGAAAGGCGTCTGAAAAGCCAATCATTCCAAATTTCTCTCAACAGCTTCCCAGCGTAGTTGAGATTGTTGAACCTAACACACCTCCTACTTCACGTGCAAATTCACGTAGCAGGAGTCGTGGTAATGGCAACAACAGGTCCAGATCTCCAAGTAACAACAGAGGCAATAACCAGTCCCGTGGTAATTCACAGAATCGTGGAAATAACCAGGGTCGTGGAGCTTCTCAGAACAGAGGAGGCAATAATAATAACAATAACAAGTCTCGTAACCAGTCCAAGAACAGAAACCAGTCAAATGACCGTGGTGGTGTAACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCCTTAAATCTTTGGGCATTGGCGAAAACCCTGACAAGCTTAAGCAACAGCAGAAGCCCAAACAGGAAAGGTCTGACAGCAGCGGCAAAAATACACCTAAGAAGAACAAATCCAGAGCCACTTCGAAAGAACGTGACCTCAAAGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGGGGAGGCTTCAAAAATTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCCTCAGGCTATGCCCAGATCGCCAGTTTAGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGTGAGCTAGCGGACTCTTACGAGATTACATACAATTATAAAATGACTGTGCCAAAGTCTGATCCAAATGTAGAGCTTCTTGTTTCACAGGTGGATGCATTCAAAACTGGGAATGCAAAACCCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCACGCAGCAGCTGAATGAAGATGCCATCTACGATGATGTGGGTTTGCCATCTGACTCGACTCATGCCAATTTGGAATGGGACACAGCTGTTGACGGTGGTGACACGGCCGTTGAGATTATCAACGAGATCTTCGATACAGGAAAT >KNU_1703_N_AWM11466_1_2017_07_South_Korea_Swine_PEDV ATGGCTTCTGTCAGTTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTCTATGCCCCTCTTAGGGTTACTAATGACAAACCCCTTTCTAAGGTACTTGCAAATAATGCTGTACCCACTAATAAAGGAAATAAGGACCAGCAAATTGGATACTGGAATGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAACAACCTTCCAATTGGCATTTCTACTACCTCGGAACAGGACCTCACGCCGACCTCCGCTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAACCTGGGTGTCAGAAAGGCGTCTGAAAAGCCAATTATTCCAAACTTCTCTCAACAGCTTCCCAGCGTAGTTGAGATTGTTGAACCTAACACACCTCCTACTTCACGTGCAAATTCACGTAGCAGGAGTCGTGGTAATGGCAACAACAGGTCCAGATCTCCAAGTAACAACAGAGGCAATAACCAGTCCCGCGGTAATTCACAGAATCGTGGAAATAACCAGGGTCGTGGAGCTTCTCAGAACAGAGGGGGCAATAATAATAACAATAACAAGTCTCGTAACCAGTCCAAGAACAGAAACCAGTCAAACGACCGTGGTGGTGTAACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCCTTAAATCTTTGGGTATTGGCGAAAACCCTGACAAGCTTAAGCAACAGCAGAAGCCCAAACAGGAAAGGTCTGACAGCAGTGGCAAAAATACACCTAAGAAGAACAAATCCAGAGCCACTTCGAAAGAACGTGACCTCAAAGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGAGGAGGCTTCAAAAATTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCCCCAGGCTATGCTCAGATCGCCAGTTTAGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGTGAGCTAGCGGACTCTTACGAGATTACATATAATTATAAAATGACTGTGCCAAAGTCTGATCCAAATGTAGAGCTTCTTGTTTCACAGGTGGATGCATTTAAAACTGGGAATGCAAAACCCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCACGCAGCAGCTGAATGAAGAGGCCATCTACGATGATGTGGGTGTGCCATCTGATGTGACTCATGCCAATTTGGAATGGGACACAGCTGTTGATGGTGGTGACACGGCCGTTGAAATTATCAACGAGATCTTCGACACAGGAAAT >85_7_C40_N_AST13140_1_2015_09_China_Unknown_PEDV ATGGCTTCTGTCAGCTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCTCTCTATGCCCCTCTTAGGGTTACTAATGACAAGCCCCTTTCTAAGGTACTTGCAAACAACGCTGTACCCACTAACAAGGGGAATAAGGACCAGCAAATTGGGTACTGGAATGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAACAACCTTCCAATTGGCATTTCTACTACCTCGGAACAGGACCTCACGGCGACCTCCGTTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAATTTGGGTGTCAGAAAGGCGTCTGAAAAGCCAATCATTCCAAAATTCTCTCAACAGCTCCCCATTGTAGTTGAGATTGTTGAACCTAACACACCTCCTGCTTCACGTGCAAATTCGCGTAGCAGGAGTCGTGGCAATGGCAACAATAGGTCTAGATCTCCAAGTAACAACAGAGGCAATAACCAGTCCCGTGGTAATTCACAGAATCGTGGAAATAACCAGGGTCGTGGAGCTTCTCAGAACAGAGGAGGCAATAATAATAACAATAACAAGTCTCGTAACCAGTCCAATAACAGGAACCAGTCAAATGACCGTGGTGGTGTAACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCACTTAAATCTTTGGGTATTGGAGAAAATCCTGACAGGCATAAGCAACAGCAGAAGCCTAAGCAGGAAAAGTCTGACAACAGCGGCAAAAATACACCTAAGAAGAACAAATCCAGGGCCACTTCGAAGGAACGTGACCTCAAAGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGAGGGGGCTTCAAAAACTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCGTCAGGCTATGCTCAGATCGCCAGTTTAGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGTGAGCTAGCGGACTCTTACGAGATTACATACAACTATAAAATGACTGTGCCAAAGTCAGATCCAAATGTTGAGCTTCTTGTTTCACAGGTGGATGCATTTAAAACTGGGAATGCAAAACTCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCACGCTGCAGCAGCATGAAGAGGCCATCTGCGATGATGTGGGTGCGCCATCTGATGTGACCCATGCCAATCTGGAATGGGACACAGCTGTTGATGGTGGTGATACGGCCGTTGAAATTATCAACGAGATCTTCGATACAGGAAAT >PEDV_1481_Pamplona_Tudela_N_QKV43743_1_2014_06_03_Spain_Swine_PEDV ATGGCTTCTGTCAGTTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTCTATGCCCCTCTTAGGGTTACTAATGACAAACCCCTTTCTAAGGTACTTGCAAATAATGCTGTACCCACTAATAAAGGAAATAAGGACCAGCAAATTGGATACTGGAATGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAACAACCTTCCAATTGGCATTTCTACTACCTCGGAACAGGACCTCACGCCGACCTCCGCTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAACCTGGGTGTCAGAAAGGCGTCTGAAAAGCCAATCATTCCAAATTTCTCTCAACAGCTTCCCAGCGTAGTTGAGATTGTTGAACCTAACACACCTCCTACTTCACGTGCAAATTCACGTAGCAGGAGTCGTGGTAATGGCAACAACAGGTCCAGATCTCCAAGTAACAACAGAGGCAATAACCAGTCCCGCGGTAATTCACAGAATCGTGGAAATAACCAGGGTCGTGGAGCTTCTCAGAACAGAGGAGGCAATAATAATAACAATAACAAGTCTCGTAACCAGTCCAAGAACAGAAACCAGTCAAATGACCGTGGTGGTGTAACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCCTTAAATCTTTGGGCATTGGCGAAAACCCTGACAAGCTTAAGCAACAGCAGAAGCCCAAACAGGAAAGGTCTGACAGCAGCGGCAAAAATACACCTAAGAAGAACAAATCCAGAGCCACTTCGAAAGAACGTGACCTTAAAGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGGGGAGGCTTCAAAAATTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCCTCAGGCTATGCCCAGATCGCCAGTTTAGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGTGAGCTAGCGGACTCTTACGAGATTACATACAATTATAAAATGACTGTGCCAAAGTCTGATCCAAATGTAGAGCTTCTTGTTTCACAGGTGGATGCATTTAAAACTGGGAATGCAAAACCCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCACGCAGCAGCTGAATGAAGATGCCATCTACGATGATGTGGGTTTGCCATCTGATTCGACTCATGCCAATTTGGAATGGGACACAGCTGTTGACGGTGGTGACACGGCCGTTGAAATTATCAACGAGATCTTCGATACAGGAAAT >PEDV_2149_Castellon_Albocacer_N_QKV43833_1_2018_03_02_Spain_Swine_PEDV ATGGCTTCTGTCAGTTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTCTATGCCCCTCTTAGGGTTACTAATGACAAACCCCTTTCTAAGGTACTTGCAAATAATGCTGTACCCACTAATAAAGGAAATAAGGACCAGCAAATTGGATACTGGAATGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAACAACCTTCCAATTGGCATTTCTACTACCTCGGAACAGGACCTCACGCCGACCTCCGCTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAACCTGGGTGTCAGAAAGGCGTCTGAAAAGCCAATCATTCCAAATTTCTCTCAACAGCTTCCCAGCGTAGTTGAGATTGTTGAACCTAACACACCTCCTACTTCACGTGCAAATTCACGTAGCAGGAGTCGTGGTAATGGCAACAACAGGTCCAGATCTCCAAGTAACAACAGAGGCAATAACCAGTCCCGCGGTAATTCACAGAATCGTGGAAATAACCCGGGTCGTGGAGCTTCTCAGAACAGAGGAGGCAATAATAATAACAATAACAAGTCTCGTAACCAGTCCAAGAACAGAAACCAGTCAAATGACCGTGGTGGTGTAACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCCTTAAATCTTTGGGCATTGGCGAAAACCCTGACAAGCTTAAGCAACAGCAGAAGCCCAAACAGGAAAGGTCTGACAGCAGCGGCAAAAATACACCTAAGAAGAACAAATCCAGAGCCACTTCGAAAGAACGTGACCTTAAAGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGAGGGGGCTTCAAAAATTTTGGAGATGCTGAATTTGTCGAAAAAGGTGTTGATGCCTCAGGCTATGCCCAGATCGCCAGTTTAGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGTGAGCTAGCGGACTCTTACGAGATTACATACAATTATGTAATGACTGTGCCAAAGTCTGATCCAAATGTAGAGCTTCTTGTTTCACAGGTGGATGCATTTAAAACTGGGAATGCAAAACCCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCACGCAGCAGCTGAATGAAGATGCCATCTACGATGATGTGGGTTTGCCATCTGATCCGACTCATGCCAATTTGGAATGGGACACAGCTGTTGACGGTGGTGACACGGCCGTTGAAATTATCAACGAGATCTTCGATACAGGAAAT >IBR_2_JPN_2013_N_BAT33183_1_2013_11_Japan_Pig_PEDV ATGGCTTCTGTCAGTTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTCTATGCCCCTCTTAGGGTTACTAATGACAAACCCCTTTCTAAGGTACTTGCAAATAATGCTGTACCCACTAATAAAGGAAATAAGGACCAGCAAATTGGATACTGGAATGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAACAACCTTCCAATTGGCACTTCTACTACCTCGGAACAGGACCTCACGCCGACCTCCGCTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAACCTGGGTGTCAGAAAGGCGTCTGAAAAGCCAATTATTCCAAATTTCTCTCAACAGCTTCCCAGCGTAGTTGAGATTGTTGAACCTAACACACCTCCTACTTCACGTGCAAATTCACGTAGCAGGAGTCGTGGTAATGGCAACAACAGGTCCAGATCTCCAAGTAACAACAGAGGCAATAACCAGTCCCGCGGTAATTCACAGAATCGTGGAAATAACCAGGGTCGTGGAGCTTCTCAGAACAGAGGAGGCAATAATAATAACAATAACAAGTCTCGTAACCAGTCCAAGAACAGAAACCAGTCAAATGACCGTGGTGGTGTAACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCCTTAAATCTTTGGGTATTGGCGAAAACCCTGACAAGCTTAAGCAACAGCAGAAGCCCAAACAGGAAAGGTCTGACAGCAGCGGCAAAAATACACCTAAGAAGAACAAATCCAGAGCCACTTCGAAAGAACGTGACCTCAAAGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGGGGAGGCTTCAAAAATTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCCTCAGGCTATGCTCAGATCGCCAGTTTAGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGTGAGCTAGCGGACTCTTACGAGATTACATATAATTATAAAATGACTGTGCCAAAGTCTGATCCAAATGTAGAGCTTCTTGTTTCACAGGTGGATGCATTTAAAACTGGGAATGCAAAACCCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCACGCAGCAGCTGAATGAAGAGGCCATCTACGATGATGTGGGTGTGCCATCTGATGTGACTCATGCCAATTTGGAATGGGACACAGCTGTTGATGGTGGTGACACGGCCGTTGAAATTATCAACGAGATCTTCGACACAGGAAAT >GDS16_N_QCQ19946_1_2011_05_25_China_Swine_PEDV ATGGCTTCTGTCAGTTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTCTATGCCCCTCTTAGGGTTACTAATGACAAACCCCTTTCTAAGGTACTTGCAAACAATGCTGTACCCACTAATAAAGGGAATAAGGACCAGCAAATTGGATACTGGACTGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAACAACCTTCCAATTGGCATTTCTACTACCTTGGAACAGGACCTCACGCCGACCTCCGTTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAACTTGGGTGTCAGAAAAGCGTCTGAAAAGCCAATCATTCCAAAATTCTCTCAACAGCTCCCGAGTGTAGTTGAGATTGTTCAACCCAACACACCTCCTACTTCACGTGCAAATTCACGTAGTATGAGTCGTGGCAATGGCAACAACAGGTCCAGATCCCCGAGTAACAACAGAGGCAACAACCAGTCCCGCGGTAATTCACAGAATCGTGGAAATAACCAGGGTCGTGGAGCTTCTCAGAACAGAGGAGGCAATAATAATAACAATAACAAGTCTCGTAACCAGTCCAAGAACAGAAACCAGTCAAATGACCGTGGTGGAATGACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCCTTAAATCTTTGGGTATTGGAGAAAATCCTGATAGGCTTAAGCAACAACAGAAGCCTAAGCAGGAAAAGTCTGACAACAGCGGCAAAAATACACCTAACAAGAACAAATCCAGGGCCACTTCGAAGGAACGTGACCTCAAGGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGGGGGGGCTTCAAAAATTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCCTCAGGCTATGCTCAGATCGCCAGTTTAGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGCGAGCTAGCGGACTCTTACGAGATTACATACAATTATAAAATGACTGTGCCAAAGTCTGATCCAAATGTTGAGCTTCTTGTTTCACAGGTGGATGCATTTAAAACTGGTAATGTAAAACCCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCACGCAGCAGCTGAATGAAGATGCCATCTACGATGACGTGGGTGTGCCATCTGATGTGACTCATGCCAATTTGGAATGGGACACAGCTGTTGATGGTGGTGACACGGCCGTTGAAATTATCAACGAGATCTTCGATACAGGAAAT >GDS25_N_QCQ19820_1_2013_01_15_China_Swine_PEDV ATGGCTTCTGTCAGTTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTCTATGCCCCTCTTAGGGTTACTAATGACAAACCCCTTTCTAAGGTACTTGCAAATAATGCTGTACCCACTAATAAAGGAAATAAGGACCAGCAAATTGGATACTGGAATGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAACAACCTTCCAATTGGCATTTCTACTACCTCGGAACAGGACCTCACGCCGACCTCCGCTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAACCTGGGTGTCAGAAAGGCGTCTGAAAAGCCTATCATTCCAAATTTCTCTCAACAGCTCCCCAGCGTAGTTGAGATTGTTGAACCTAACACACCTCCTACTTCACGTGCAAATTCACGTAGCAGGAGTCGTGGTAATGGCAACAACAGGTCCAGATCTCCAAGTAACAACAGAGGCAACAACCAGTCCCGCGGTAATTCACAGAATCGTGGAAATAACCAGGGTCGTGGAGCTTCTCAGAACAGAGGAGGCAATAATAATAACAATAACAAGTCTCGTAACCAGTCCAAGAACAGAAACCAGTCAAATGACCGTGGTGGTGTAACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCCTTAAATCTTTGGGTATTGGCGAAAACCCTGACAAGCTTAAGCAACAGCAGAAGCCCAAACAGGAAAGGTCTGACAGCAGCGGCAAAAATACACCTAATAAGAACAAATCCAGAGCCACTTCGAAAGAACGTGACCTCAAAGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGGGGAGGCTTCAAAAATTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCCTCAGGCTATGCTCAGATCGCCAGTTTAGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGTGAGCTAGCGGACTCTTACGAGATTACATATAATTATAAAATGACTGTGCCAAAGTCTGATCCAAATGTAGAGCTTCTTGTTTCACAGGTGGATGCATTTAAAACTGGGAATGCAAAACCCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCACGCAGCAGCTGAATGAAGAGGCCATCTACGATGATGTGGGTGTGCCATCTGATGTGACTCATGCCAATTTGGAATGGGACACAGCTGTTGATGGTGGTGACACGGCCGTTGAAATTATCAACGAGATCTTCGACACAGGAAAT >PEDV_MEX_JAL_01_2014_NA_AVU05442_1_2014_07_19_Mexico_Swine_PEDV ATGGCTTCTGTCAGTTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTCTATGCCCCTCTTAGGGTTACTAATGACAAACCCCTTTCTAAGGTACTTGCAAATAATGCTGTACCCACTAATAAAGGAAATAAGGACCAGCAAATTGGATACTGGAATGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAACAACCTTCCAATTGGCATTTCTACTACCTCGGAACAGGACCTCACGCCGACCTCCGCTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAACCTGGGTGTCAGAAAGGCGTCTGAAAAGCCAATTATTCCAAATTTCTCTCAACAGCTTCCCAGCGTAGTTGAGATTGTTGAACCTAACACACCTCCTACTTCACGTGCAAATTCACGTAGCAGGAGTCGTGGTAATGGCAACAACAGGTCCAGATCTCCAAGTAACAACAGAGGCAATAACCAGTCCCGCGGTAATTCACAGAATCGTGGAAATAACCAGGGTCGTGGAGCTTCTCAGAACAGAGGAGGCAATAATAATAACAATAACAAGTCTCGTAACCAGTCCAAGAACAGAAACCAGTCAAATGACCGTGGTGGTGTAACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCCTTAAATCTTTGGGTATTGGCGAAAACCCTGACAAGCTTAAGCAACAGCAGAAGCCCAAACAGGAAAGGTCTGACAGCAGCGGCAAAAATACACCTAAGAAGAACAAATCCAGAGCCACTTCGAAAGAACGTGACCTCAAAGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGGGGAGGCTTCAAAAATTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCCTCAGGCTATGCTCAGATCGCCAGTTTAGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGTGAGCTAGCGGACTCTTACGAGATTACATATAATTATAAAATGACTGTGCCAAAGTCTGATCCAAATGTAGAGCTTCTTGTTTCACAGGTGGATGCATTTAAAACTGGGAATGTAAAACCCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCACGCAGCAGCTGAATGAAGAGGCCATCTACGATGATGTGGGTGTGCCATCTGATGTGACTCATGCCAATTTGGAATGGGACACAGCTGTTGATGGTGGTGACACGGCCGTTGAAATTATCAACGAGATCTTCGACACAGGAAAT >CH_JLDH_2016_NA_ASO67381_1_2016_07_China_Swine_PEDV ATGGCTTCTGTCAGCTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTCTATGCCCCTCTTAGGGTTACTAATGACAAACCCCTTTCTAAGGTACTTGCAAACAATGCTGTACCCACTAATAAAGGAAATAAGGACCAGCAAATTGGATACTGGAATGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAGCAACCTTCCAATTGGCATTTCTACTACCTCGGAACAGGACCTCACGCCGACCTCCGCTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAACCTGGGTGTCAGAAAGGCGTCTGAAAAGCCAATCATTCCAAATTTCTCTCAACAGCTTCCCAGCGTAGTTGAGATTGTTGAACCTAACACACCTCCTACTTCACGTGCAAATTCACGTAGCAGGAGTCGTGGTAATGGCAACAACAGGTCCAGATCTCCAAGTAACAACAGAGGCAATAACCAGTCCCGCGGTAATTCACAGAATCGTGGAAATAACCAGGGTCGTGGAGCTTCTCAGAACAGAGGAGGCAATAATAATAACAATAACAAGTCTCGTAACCAGTCCAAGAACAGAAACCAGTCAAATGACCGTGGTGGAATGACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCCTTAAATCTTTGGGTATTGGAGAAAATCCTGATAGGCTTAAGCAACAACAGAAGCCTAAGCAGGAAAAGTCTGACAACAGCGGCAAAAATACACCTAAGAAGAACAAATCCAGGGCCACTTCGAAGGAACGTGACCTCAAGGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGGGGGGGCTTCAAAAATTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCCTCAGGCTATGCTCAGATCGCCAGTTTGGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGCGAGCTAGCGGACTCTTACGAGATTACATACAATTATAAAATGACTGTGCCAAAGTCTGATCCAAATGTTGAGCTTCTTGTTTCACAGGTTGATGCATTTAAAACTGGTAATGCAAAACCCCAGAGAAAGAAGGAAAAGAAGAATAAGCGTGAAACCACGCAGCAGCTGAATGAAGATGCCATCTACGATGATGTGGGTTTGCCATCTGATTCGACTCATGCCAATTTGGAATGGGACACAGCTGTTGACGGTGGTGACACGGCCGTTGAAATTATCAACGAGATCTTCGATACAGGAAAT >Hawaii_39249_2014_NA_AKO63241_1_2014_11_13_USA_Swine_PEDV ATGGCTTCTGTCAGTTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTCTATGCCCCTCTTAGGGTTACTAATGACAAACCCCTTTCTAAGGTACTTGCAAATAATGCTGTACCCACTAATAAAGGAAATAAGGACCAGCAAATTGGATACTGGAATGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAACAACCTTCCAATTGGCATTTTTACTACCTCGGAACAGGACCTCACGCCGACCTCCGCTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAACCTGGGTGTCAGAAAGGCGTCTGAAAAGCCAATTATTCCAAATTTCTCTCAACAGCTTCCCAGCGTAGTTGAGATTGTTGAACCTAACACACCTCCTACTTCACGTGCAAATTCACGTAGCAGGAGTCGTGGTAATGGCAACAACAGGTCCAGATCTCCAAGTAACAACAGAGGCAATAACCAGTCCCGCGGTAATTCACAGAATCGTGGAAATAACCAGGGTCGTGGAGCTTCTCAGAACAGAGGAGGCAATAATAATAACAATAACAAGTCTCGTAACCAGTCCAAGAACAGAAACCAGTCAAATGACCGTGGTGGTGTAACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCCTTAAATCTTTGGGTATTGGCGAAAACCCTGACAAGCTTAAGCAACAGCAGAAGCCCAAACAGGAAAGGTCTGACAGCAGCGGCAAAAATACACCTAAGAAGAACAAATCCAGAGCCACTTCGAAAGAACGTGACCTCAAAGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGGGGAGGCTTCAAAAATTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCCTCAGGCTATGCTCAGATCGCCAGTTTAGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGTGAGCTAGCGGACTCTTACGAGATTACATATAATTATAAAATGACTGTGCCAAAGTCTGATCCAAATGTAGAGCTTCTTGTTTCACAGGTGGATGCATTTAAAACTGGGAATGCAAAACCCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCACGCAGCAGCTGAATGAAGAGGCCATCTACGATGATGTGGGTGTGCCATCTGATGTGACTCATGACAATTTGGAATGGGACACAGCTGTTGATGGTGGTGACACGGCCGTTGAAATTATCAACGAGATCTTCGACACAGGAAAT >GDS29_N_QCQ19892_1_2014_07_11_China_Swine_PEDV ATGGCTTCTGTCAGTTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTCTATGCCCCTCTTAGGGTTACTAATGACAAACCCCTTTCTAAGGTACTTGCAAATAATGCTGTACCCACTAATAAAGGAAATAAGGACCAGCAAATTGGATACTGGAATGAGCAAGTTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAACAACCTTCCAATTGGCATTTCTACTACCTCGGAACAGGACCTCACGCCGACCTCCGCTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAACCTGGGTGTCAGAAAGGCGTCTGAAAAGCCTATCATTCCAAATTTCTCTCAACAGCTTCCCAGCGTAGTTGAGATTGTTGAACCTAACACACCTCCTACTTCACGTGCAAATTCACGTAGCAGGAGTCGTGGTAATGGCAACAACAGGTCCAGATCTCCAAGTAACAACAGAGGCAATAACCAGTCCCGCGGTAATTCACAGAATCGTGGAAATAACCAGGGTCGTGGAGCTTCTCAGAACAGAGGAGGCAATAATAATAACAATAACAAGTCTCGTAACCAGTCCAAGAACAGAAACCAGTCAAATGACCGTGGTGGTGTAACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCCTTAAATCTTTGGGCATTGGCGAAAACCCTGACAAGCTTAAGCAACAGCAGAAGCCTAAACAGGAAAGGTCTGACAGCAGCGGCAAAAATACACCTAAGAAGAACAAATCCAGAGCCACTTCGAAAGAACGTGACCTCAAAGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGGGGAGGCTTCAAAAATTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCCTCAGGCTATGCTCAGATCGCCAGTTTAGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGTGAGCTAGCGGACTCTTACGAGATTACATATAATTATAAAATGACTGTGCCAAAGTCTGATCCAAATGTAGAGCTTCTTGTTTCACAGGTGGATGCATTTAAAACTGGGAATGCAAAACCCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCACGCAGCAGCTGAATGAAGAGGCCATCTACGATGATGTGGGTGTGCCATCTGATTCGACTCATGCCAATTTGGAATGGGACACAGCTGTAGACGGTGGTGACACGGCCGTTGAAATTATCAACGAGATCTTCGACACAGGAAAT >PEDV_MEX_JAL_05_2017_NA_AVU05400_1_2017_02_28_Mexico_Swine_PEDV ATGGCTTCTGTCAGCTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTCTATGCCCCTCTTAGGGTTACTAATGACAAACCCCTTTCTAAGGTACTTGCAAATAATGCTGTACCCACTAATAAAGGAAATAAGGACCAGCAAATTGGATACTGGAATGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAACAACCTTCCAATTGGCATTTCTACTACCTCGGAACAGGACCTCACGCCGACCTCCGCTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAACCTGGGTGTCAGAAAGGCGTCTGAAAAGCCAATTATTCCAAATTTCTCTCAACAGCTTCCCAGCGTAGTTGAGATTGTTGAACCTAACACACCTCCTACTTCACGTGCAAATTCACGTAGCAGGAGTCGTGGTAATGGCAACAACAGGTCCAGATCTCCAAGTAACAACAGAGGCAATAACCAGTCCCGCGGTAATTCACAGAATCGTGGAAATAACCAGGGTCGTGGAGCTTCTCAGAACAGAGGAGGCAATAATAATAATAATAACAAGTCTCGTAACCAGTCCAAGAACAGAAACCAGTCAAATGACCGTGGTGGTGTAACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCCTTAAATCTTTGGGTATTGGCGAAAACCCTGATAAGCTTAAGCAACAGCAGAAGCCCAAACAGGAAAGGTCTGACAGCAGCGGCAAAAATACACCTAAGAAGAACAAATCCAGAGCCACTTCGAAAGAACGTGACCTCAAAGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGGGGAGGCTTCAAAAATTTTGGAGATGCGGAATTTGTTGAAAAAGGTGTTGATGCCTCAGGCTATGCTCAGATCGCCAGTTTAGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGTGAGCTAGCGGACTCTTACGAGATTACATATAATTATAAAATGACTGTGCCAAAGTCTGATCCAAATGTAGAGCTTCTTGTTTCACAGGTGGATGCATTTAAAACTGGGAATGCAAAACCCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCACGCAGCAGCTGAATGAAGAGGCCATCTACGATGATGTGGGTGTGCCATCTGATGTGACTCATGCCAATTTGGAATGGGACACAGCTGTTGATGGTGGTGACACGGCCGTTGAAATTATCAACGAGATCTTCGACACAGGAAAT >PEDV_8C_N_AJP67412_1_NA_China_Swine_PEDV ATGGCTTCTGTCAGTTTTCAGGATCGTGGCCGCAAACGGGTGCCATTATCCCTTTATGCCCCTCTTAGGGTTACTAATGACAAACCCCTTTCTAAGGTACTTGCAAATAATGCTGTACCCACTAATAAAGGAAATAAGGACCAGCAAATTGGATACTGGAATGAGCAAATTCGCTGGCGCATGCGCCGTGGTGAGCGAATTGAACAACCTTCCAATTGGCATTTCTACTACCTCGGAACAGGACCTCACGCCGACCTCCGCTATAGGACTCGTACTGAGGGTGTTTTCTGGGTTGCTAAAGAAGGCGCAAAGACTGAACCCACTAACCTGGGTGTCAGAAAGGCGTCTGAAAAGCCAATCATTCCATATTTCTCTCAACAGCTTCCCAGCGTAGTTGAGATTGTTGAACCTAACACACCTCCTACTTCACGTGCAAATTCACGTAGCAGGAGTCGTGGTAATGGCAACAACAGGTCCAGATCTCCAAGTAACAACAGAGGCAATAACCAGTCCCGCGGTAATTCACAGAATCGTGGAAATAACCATGGTCGTGGAGCTTCTCAGAACAGAGGATGCAATAATAATAACAATAACAAGTCTCGTAACCAGTCCAAGAACAGAAACCAGTCAAATGACCGTGGTGGTGTAACATCACGCGATGATCTGGTGGCTGCTGTCAAGGATGCCCTTAAATCTTTGGGCATTGGCGAAAACCCTGACAAGCTTAAGCACCAGCAGAAGCCCAAACAGGAAAGGTCTGACAGCAGCGGCAAAAATACACCTAAGAAGAACAAATCCAGAGCCACTTCGAAAGAACGTGACCTCAAAGACATCCCAGAGTGGAGGAGAATTCCCAAGGGCGAAAATAGCGTAGCAGCTTGCTTCGGACCCAGGGGAGGCTTCAAAAATTTTGGAGATGCGGAATTTGTCGAAAAAGGTGTTGATGCCTCAGGCTATGCCCAGATCGCCAGTTTAGCACCAAATGTTGCAGCATTGCTCTTTGGTGGTAATGTGGCTGTTCGTGAGCTAGCGGACTCTTACGAGATTACATATAATTATAAAATGACTGTGCCAAAGTCTGATCCAAATGTAGAGCTTCTTGTTTCACAGGTGGATGCATTTAAAACTGGGAATGCAAAACCCCAGAGAAAGAAGGAAAAGAAGAACAAGCGTGAAACCGCGCAGCAGCTGAATGAAGAGGCCATCTACGATGATGTGGGTGTGCCATCTGATGTGACTCATGCCAATTTGGAATGGGACACAGCTGTTGATGTTGGTGACACGGCCGTTGAAATTATCAACGAGATCTTCGACACAGGAAAT
>KNU_1829_N_QDZ36666_1_2018_11_South_Korea_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNEKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNQGRGASQNRGGNNNNNNKPRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPDKLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWDTAVDGGDTAVEIINEIFDIGN >85_7_mutant4_N_AST13243_1_2015_09_China_Unknown_PEDV MASVSFQDRGRKRVPLSFYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWRMRRGERIEQPSNWHFYYLGTGPHGDLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPKFSQQLPIVVEIVEPNTPPASRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNQGRGASQNRGGNNNNNNKSRNQSNNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPDRHKQQQKPKQEKSDNSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNAKLQRKKEKKNKRETTLQQHEEAICDDVGAPSDVTHANLEWDTAVDGGDTAVEIINEIFDTGN >LW_L_N_QBM00065_1_2010_02_China_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWTEQIRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPKFSQQLPSVVEIVQPNTPPTSRANSRSMSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGMTSRDDLVAAVKDAFKSLGIGENPDRLKQQQKRKQEKSDNSGKNTPNKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNVKPQRKKEKKNKRETTQQLNEDAIYDDVGVPSDVTHANLEWDTAVDGGDTAVEIINEIFDTGN >USA_Iowa23_57_2013_NA_AID56755_1_2013_10_20_USA_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNYRSRSPSNNRGNNQSRGNSQNRGNNQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPDKLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWDTAVDGGDTAVEIINEIFDTGN >FKO_1_JPN_2014_N_BAT33123_1_2014_03_Japan_Pig_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPDKLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWDTAVDGGDTAVEIINEIFDTGN >GDS36_N_QCQ19958_1_2011_02_10_China_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWTEQIRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPKFSQQLPSVVEIVQPNTPPTSRANSRSMSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGMTSRDDLVAAVKDALKSLGIGENPDRLKQQQKPKQEKSDNSGKNTPNKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNVKPQRKKEKKNKRETTQQLNEDAIYDDVGVPSDVTHANLEWDTAVDGGDTAVEIINEIFDTGN >IWT_1_JPN_2014_N_BAT33261_1_2014_04_Japan_Pig_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPDKLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWDTAVDGGDTAVEIINEIFDTGN >CH_JX_1_2013_NA_AHF20049_1_2013_03_China_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNQGLGASKNRGGNNNNNNKSRNQSKTRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPDKLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEDAIYDDVGLPSDSTHANLEWDTAVDGGDTAVEIINEIFDTGN >USA_Kansas46_2013_NA_AID56761_1_2013_10_23_USA_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPDKLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWDTAVDGGDTAVEIINEIFDTGN >PC22A_P70_NA_APX55545_1_2014_08_01_USA_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPDKLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWDTAVDGGDTAVEIINEIFDTGN >PEDV_GER_L01019_K01_15_09_2015_N_SNQ27959_1_NA_NA_Unknown_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPDKLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYVMTVPKSDPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEDAIYDDVGLPSDSTHANLEWDTAVDGGDTAVEIINEIFDTGN >CH_SCLS_2018_N_AZL47226_1_2018_01_12_China_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPNFSQQLPSVVEIVEPNTPLTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPDKLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNAKPQRKKEKKNMRETTQQLNEDAIYDDVGLPSDSTHANLEWDSAVDGGDTAVEIINEIFDTGN >IBR_4_JPN_2014_N_BAT33309_1_2014_04_Japan_Pig_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPDKLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWDTAVDVGDTAVEIINEIFDTGN >OH1414_NA_AHN60056_1_2014_01_23_USA_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPDKLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWDTAVDGGDTAVEIINEIFDTGN >USA_Minnesota250_2014_NA_AKJ21807_1_2014_02_03_USA_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPDKLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWDTAVDGGDTAVEIINEIFDTGN >UNKNOWN_MT843279_NA_QMU85411_1_2013_02_China_Unknown_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPKFSQQLPSVVEIVEPNTPPASRTNSRSRSRGNGNNRSRSPSNNGGNNQSRGNSQNRGNNQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGMTSRDDLVAAVKDALKSLGIGENPDRHKQQQKPKQEKSDNSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNAIPQRKKEKKNKRETTQQQNEEAIYDDVGVPSDVTHANLEWDTAVDGGDTAVEIINEIFDTGN >HB2018_NA_QOC60270_1_2018_05_China_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPDKLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEDAIYDDVGLPSDSTHANLEWDTAVDGGDTAVEIINEIFDTGN >KNU_1703_N_AWM11466_1_2017_07_South_Korea_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPDKLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDAPGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWDTAVDGGDTAVEIINEIFDTGN >85_7_C40_N_AST13140_1_2015_09_China_Unknown_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWRMRRGERIEQPSNWHFYYLGTGPHGDLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPKFSQQLPIVVEIVEPNTPPASRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNQGRGASQNRGGNNNNNNKSRNQSNNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPDRHKQQQKPKQEKSDNSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNAKLQRKKEKKNKRETTLQQHEEAICDDVGAPSDVTHANLEWDTAVDGGDTAVEIINEIFDTGN >PEDV_1481_Pamplona_Tudela_N_QKV43743_1_2014_06_03_Spain_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPDKLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEDAIYDDVGLPSDSTHANLEWDTAVDGGDTAVEIINEIFDTGN >PEDV_2149_Castellon_Albocacer_N_QKV43833_1_2018_03_02_Spain_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNPGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPDKLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYVMTVPKSDPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEDAIYDDVGLPSDPTHANLEWDTAVDGGDTAVEIINEIFDTGN >IBR_2_JPN_2013_N_BAT33183_1_2013_11_Japan_Pig_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPDKLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWDTAVDGGDTAVEIINEIFDTGN >GDS16_N_QCQ19946_1_2011_05_25_China_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWTEQIRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPKFSQQLPSVVEIVQPNTPPTSRANSRSMSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGMTSRDDLVAAVKDALKSLGIGENPDRLKQQQKPKQEKSDNSGKNTPNKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNVKPQRKKEKKNKRETTQQLNEDAIYDDVGVPSDVTHANLEWDTAVDGGDTAVEIINEIFDTGN >GDS25_N_QCQ19820_1_2013_01_15_China_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPDKLKQQQKPKQERSDSSGKNTPNKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWDTAVDGGDTAVEIINEIFDTGN >PEDV_MEX_JAL_01_2014_NA_AVU05442_1_2014_07_19_Mexico_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPDKLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNVKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWDTAVDGGDTAVEIINEIFDTGN >CH_JLDH_2016_NA_ASO67381_1_2016_07_China_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGMTSRDDLVAAVKDALKSLGIGENPDRLKQQQKPKQEKSDNSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEDAIYDDVGLPSDSTHANLEWDTAVDGGDTAVEIINEIFDTGN >Hawaii_39249_2014_NA_AKO63241_1_2014_11_13_USA_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPDKLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHDNLEWDTAVDGGDTAVEIINEIFDTGN >GDS29_N_QCQ19892_1_2014_07_11_China_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQVRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPDKLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDSTHANLEWDTAVDGGDTAVEIINEIFDTGN >PEDV_MEX_JAL_05_2017_NA_AVU05400_1_2017_02_28_Mexico_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPNFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNQGRGASQNRGGNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPDKLKQQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETTQQLNEEAIYDDVGVPSDVTHANLEWDTAVDGGDTAVEIINEIFDTGN >PEDV_8C_N_AJP67412_1_NA_China_Swine_PEDV MASVSFQDRGRKRVPLSLYAPLRVTNDKPLSKVLANNAVPTNKGNKDQQIGYWNEQIRWRMRRGERIEQPSNWHFYYLGTGPHADLRYRTRTEGVFWVAKEGAKTEPTNLGVRKASEKPIIPYFSQQLPSVVEIVEPNTPPTSRANSRSRSRGNGNNRSRSPSNNRGNNQSRGNSQNRGNNHGRGASQNRGCNNNNNNKSRNQSKNRNQSNDRGGVTSRDDLVAAVKDALKSLGIGENPDKLKHQQKPKQERSDSSGKNTPKKNKSRATSKERDLKDIPEWRRIPKGENSVAACFGPRGGFKNFGDAEFVEKGVDASGYAQIASLAPNVAALLFGGNVAVRELADSYEITYNYKMTVPKSDPNVELLVSQVDAFKTGNAKPQRKKEKKNKRETAQQLNEEAIYDDVGVPSDVTHANLEWDTAVDVGDTAVEIINEIFDTGN
Reading sequence file /data//pss_subsets/LZW_N_AIJ01345_1_2012_02_China_Unknown_PEDV.result/original_alignment/codeml/fasta/LZW_N_AIJ01345_1_2012_02_China_Unknown_PEDV.result.1
Found 30 sequences of length 1323
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 2.1%
Found 97 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 6
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 100 polymorphic sites
**p-Value(s)**
----------
NSS: 8.00e-03 (1000 permutations)
Max Chi^2: 0.00e+00 (1000 permutations)
PHI (Permutation): 8.00e-03 (1000 permutations)
PHI (Normal): 6.24e-03
#NEXUS
[ID: 0414271206]
begin taxa;
dimensions ntax=30;
taxlabels
CH_SCLS_2018_N_AZL47226_1_2018_01_12_China_Swine_PEDV
PEDV_GER_L01019_K01_15_09_2015_N_SNQ27959_1_NA_NA_Unknown_PEDV
IBR_4_JPN_2014_N_BAT33309_1_2014_04_Japan_Pig_PEDV
HB2018_NA_QOC60270_1_2018_05_China_Swine_PEDV
UNKNOWN_MT843279_NA_QMU85411_1_2013_02_China_Unknown_PEDV
KNU_1703_N_AWM11466_1_2017_07_South_Korea_Swine_PEDV
IBR_2_JPN_2013_N_BAT33183_1_2013_11_Japan_Pig_PEDV
PEDV_2149_Castellon_Albocacer_N_QKV43833_1_2018_03_02_Spain_Swine_PEDV
Hawaii_39249_2014_NA_AKO63241_1_2014_11_13_USA_Swine_PEDV
CH_JLDH_2016_NA_ASO67381_1_2016_07_China_Swine_PEDV
USA_Iowa23_57_2013_NA_AID56755_1_2013_10_20_USA_Swine_PEDV
PEDV_8C_N_AJP67412_1_NA_China_Swine_PEDV
CH_JX_1_2013_NA_AHF20049_1_2013_03_China_Swine_PEDV
KNU_1829_N_QDZ36666_1_2018_11_South_Korea_Swine_PEDV
LW_L_N_QBM00065_1_2010_02_China_Swine_PEDV
85_7_mutant4_N_AST13243_1_2015_09_China_Unknown_PEDV
GDS36_N_QCQ19958_1_2011_02_10_China_Swine_PEDV
FKO_1_JPN_2014_N_BAT33123_1_2014_03_Japan_Pig_PEDV
IWT_1_JPN_2014_N_BAT33261_1_2014_04_Japan_Pig_PEDV
PC22A_P70_NA_APX55545_1_2014_08_01_USA_Swine_PEDV
OH1414_NA_AHN60056_1_2014_01_23_USA_Swine_PEDV
USA_Minnesota250_2014_NA_AKJ21807_1_2014_02_03_USA_Swine_PEDV
PEDV_1481_Pamplona_Tudela_N_QKV43743_1_2014_06_03_Spain_Swine_PEDV
85_7_C40_N_AST13140_1_2015_09_China_Unknown_PEDV
PEDV_MEX_JAL_01_2014_NA_AVU05442_1_2014_07_19_Mexico_Swine_PEDV
GDS16_N_QCQ19946_1_2011_05_25_China_Swine_PEDV
GDS25_N_QCQ19820_1_2013_01_15_China_Swine_PEDV
USA_Kansas46_2013_NA_AID56761_1_2013_10_23_USA_Swine_PEDV
PEDV_MEX_JAL_05_2017_NA_AVU05400_1_2017_02_28_Mexico_Swine_PEDV
GDS29_N_QCQ19892_1_2014_07_11_China_Swine_PEDV
;
end;
begin trees;
translate
1 CH_SCLS_2018_N_AZL47226_1_2018_01_12_China_Swine_PEDV,
2 PEDV_GER_L01019_K01_15_09_2015_N_SNQ27959_1_NA_NA_Unknown_PEDV,
3 IBR_4_JPN_2014_N_BAT33309_1_2014_04_Japan_Pig_PEDV,
4 HB2018_NA_QOC60270_1_2018_05_China_Swine_PEDV,
5 UNKNOWN_MT843279_NA_QMU85411_1_2013_02_China_Unknown_PEDV,
6 KNU_1703_N_AWM11466_1_2017_07_South_Korea_Swine_PEDV,
7 IBR_2_JPN_2013_N_BAT33183_1_2013_11_Japan_Pig_PEDV,
8 PEDV_2149_Castellon_Albocacer_N_QKV43833_1_2018_03_02_Spain_Swine_PEDV,
9 Hawaii_39249_2014_NA_AKO63241_1_2014_11_13_USA_Swine_PEDV,
10 CH_JLDH_2016_NA_ASO67381_1_2016_07_China_Swine_PEDV,
11 USA_Iowa23_57_2013_NA_AID56755_1_2013_10_20_USA_Swine_PEDV,
12 PEDV_8C_N_AJP67412_1_NA_China_Swine_PEDV,
13 CH_JX_1_2013_NA_AHF20049_1_2013_03_China_Swine_PEDV,
14 KNU_1829_N_QDZ36666_1_2018_11_South_Korea_Swine_PEDV,
15 LW_L_N_QBM00065_1_2010_02_China_Swine_PEDV,
16 85_7_mutant4_N_AST13243_1_2015_09_China_Unknown_PEDV,
17 GDS36_N_QCQ19958_1_2011_02_10_China_Swine_PEDV,
18 FKO_1_JPN_2014_N_BAT33123_1_2014_03_Japan_Pig_PEDV,
19 IWT_1_JPN_2014_N_BAT33261_1_2014_04_Japan_Pig_PEDV,
20 PC22A_P70_NA_APX55545_1_2014_08_01_USA_Swine_PEDV,
21 OH1414_NA_AHN60056_1_2014_01_23_USA_Swine_PEDV,
22 USA_Minnesota250_2014_NA_AKJ21807_1_2014_02_03_USA_Swine_PEDV,
23 PEDV_1481_Pamplona_Tudela_N_QKV43743_1_2014_06_03_Spain_Swine_PEDV,
24 85_7_C40_N_AST13140_1_2015_09_China_Unknown_PEDV,
25 PEDV_MEX_JAL_01_2014_NA_AVU05442_1_2014_07_19_Mexico_Swine_PEDV,
26 GDS16_N_QCQ19946_1_2011_05_25_China_Swine_PEDV,
27 GDS25_N_QCQ19820_1_2013_01_15_China_Swine_PEDV,
28 USA_Kansas46_2013_NA_AID56761_1_2013_10_23_USA_Swine_PEDV,
29 PEDV_MEX_JAL_05_2017_NA_AVU05400_1_2017_02_28_Mexico_Swine_PEDV,
30 GDS29_N_QCQ19892_1_2014_07_11_China_Swine_PEDV
;
[Note: This tree contains information on the topology,
branch lengths (if present), and the probability
of the partition indicated by the branch.]
tree con_50_majrule = (1:9.024552e-03,23:4.838071e-04,(2:5.010729e-04,8:3.953864e-03)0.999:1.924341e-03,(((((3:8.153620e-04,12:6.779654e-03)0.511:1.148176e-03,6:4.867781e-03,7:1.103769e-03,9:1.920024e-03,11:1.200411e-03,(14:1.303793e-02,18:4.869977e-04,21:4.878216e-04,22:4.901902e-04)0.646:1.176188e-03,19:4.936982e-04,20:4.752523e-04,25:1.161876e-03,27:3.532681e-03,28:5.005827e-04,29:3.341890e-03)0.986:3.083273e-03,30:3.634538e-03)0.997:3.523383e-03,(((5:8.040732e-03,(16:2.605733e-03,24:5.380855e-04)1.000:2.019336e-02)1.000:1.489491e-02,(15:1.882218e-03,17:5.025801e-04,26:4.852759e-04)1.000:1.189890e-02)0.999:9.824988e-03,10:3.727179e-03)1.000:1.564949e-02,13:4.454637e-03)0.593:1.664883e-03,4:4.207012e-03)0.553:1.230998e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:9.024552e-03,23:4.838071e-04,(2:5.010729e-04,8:3.953864e-03):1.924341e-03,(((((3:8.153620e-04,12:6.779654e-03):1.148176e-03,6:4.867781e-03,7:1.103769e-03,9:1.920024e-03,11:1.200411e-03,(14:1.303793e-02,18:4.869977e-04,21:4.878216e-04,22:4.901902e-04):1.176188e-03,19:4.936982e-04,20:4.752523e-04,25:1.161876e-03,27:3.532681e-03,28:5.005827e-04,29:3.341890e-03):3.083273e-03,30:3.634538e-03):3.523383e-03,(((5:8.040732e-03,(16:2.605733e-03,24:5.380855e-04):2.019336e-02):1.489491e-02,(15:1.882218e-03,17:5.025801e-04,26:4.852759e-04):1.189890e-02):9.824988e-03,10:3.727179e-03):1.564949e-02,13:4.454637e-03):1.664883e-03,4:4.207012e-03):1.230998e-03);
end;
Estimated marginal likelihoods for runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
(Use the harmonic mean for Bayes factor comparisons of models)
(Values are saved to the file /data/mrbayes_input.nex.lstat)
Run Arithmetic mean Harmonic mean
--------------------------------------
1 -3128.96 -3167.74
2 -3128.43 -3159.15
--------------------------------------
TOTAL -3128.66 -3167.05
--------------------------------------
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} 0.194232 0.000458 0.153590 0.236824 0.193074 1076.63 1213.86 1.000
r(A<->C){all} 0.047162 0.000186 0.021344 0.072730 0.045939 763.20 857.85 1.000
r(A<->G){all} 0.146633 0.000639 0.099209 0.197053 0.145050 758.01 828.74 1.000
r(A<->T){all} 0.077373 0.000334 0.043865 0.113634 0.075944 782.18 916.80 1.001
r(C<->G){all} 0.029944 0.000160 0.007219 0.053781 0.028403 992.70 1048.52 1.000
r(C<->T){all} 0.597038 0.001606 0.517405 0.676419 0.597680 659.29 750.97 1.000
r(G<->T){all} 0.101850 0.000531 0.060140 0.148827 0.100022 765.70 775.09 1.000
pi(A){all} 0.305734 0.000153 0.279767 0.328475 0.305828 1086.27 1099.56 1.001
pi(C){all} 0.222289 0.000117 0.201826 0.243749 0.222226 953.74 1138.58 1.000
pi(G){all} 0.243854 0.000128 0.222748 0.266676 0.243682 1036.89 1115.54 1.001
pi(T){all} 0.228123 0.000119 0.206699 0.249088 0.227792 1035.43 1124.55 1.000
alpha{1,2} 0.278467 0.031983 0.000558 0.576343 0.247144 951.27 1020.75 1.000
alpha{3} 1.863788 1.327176 0.260714 4.135444 1.626134 795.58 864.59 1.000
pinvar{all} 0.546999 0.011140 0.316082 0.705359 0.569373 588.62 697.00 1.002
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
CODONML (in paml version 4.9h, March 2018) /data/fasta_checked/LZW_N_AIJ01345_1_2012_02_China_Unknown_PEDV.result.1
Model: One dN/dS ratio,
Codon frequency model: F3x4
Site-class models:
ns = 30 ls = 441
Codon usage in sequences
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 5 5 6 5 5 5 | Ser TCT 11 13 11 12 12 11 | Tyr TAT 5 4 4 5 5 4 | Cys TGT 0 0 0 0 0 0
TTC 6 7 6 6 6 6 | TCC 6 4 7 6 6 7 | TAC 5 5 6 6 5 6 | TGC 1 2 1 1 1 1
Leu TTA 2 2 2 2 2 2 | TCA 7 7 7 7 7 7 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 2 3 4 3 3 4 | TCG 1 2 1 1 1 1 | TAG 0 0 0 0 0 0 | Trp TGG 6 6 6 6 6 6
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 8 6 7 8 8 8 | Pro CCT 9 9 7 8 8 8 | His CAT 1 4 2 2 2 2 | Arg CGT 13 15 14 13 13 13
CTC 5 6 5 5 5 5 | CCC 8 6 7 8 8 7 | CAC 2 1 1 1 1 1 | CGC 7 5 7 7 7 7
CTA 2 1 1 1 1 1 | CCA 9 9 8 9 9 8 | Gln CAA 5 5 7 5 5 7 | CGA 1 1 1 1 1 1
CTG 3 3 2 3 3 2 | CCG 0 0 2 0 0 2 | CAG 17 17 16 17 17 16 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 9 10 9 10 10 9 | Thr ACT 11 9 12 11 11 12 | Asn AAT 31 26 27 30 30 27 | Ser AGT 4 4 6 4 4 6
ATC 6 6 6 5 5 6 | ACC 2 2 1 1 1 1 | AAC 17 22 21 17 18 21 | AGC 5 3 2 5 5 2
ATA 1 0 0 0 0 0 | ACA 5 7 7 7 7 7 | Lys AAA 15 12 14 15 15 14 | Arg AGA 8 7 7 8 8 7
Met ATG 3 3 5 3 3 5 | ACG 2 2 2 2 2 2 | AAG 20 23 21 20 20 21 | AGG 7 8 7 7 7 7
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 12 12 12 11 11 12 | Ala GCT 11 11 10 10 11 10 | Asp GAT 13 14 14 12 12 14 | Gly GGT 15 14 14 15 15 14
GTC 4 4 4 4 4 4 | GCC 8 6 9 9 8 9 | GAC 10 10 11 12 12 11 | GGC 10 11 10 10 10 10
GTA 7 5 5 6 6 5 | GCA 9 10 8 9 9 8 | Glu GAA 17 16 15 16 16 15 | GGA 11 9 11 11 11 11
GTG 6 7 8 8 8 8 | GCG 3 5 3 3 3 3 | GAG 10 10 9 10 10 9 | GGG 1 4 2 1 1 2
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 5 5 5 5 5 6 | Ser TCT 12 12 12 12 12 12 | Tyr TAT 5 4 5 5 4 4 | Cys TGT 0 0 0 0 0 0
TTC 6 6 6 6 6 5 | TCC 6 6 6 6 6 6 | TAC 5 6 5 5 6 6 | TGC 1 1 1 1 1 1
Leu TTA 2 2 2 2 2 2 | TCA 7 7 7 7 7 8 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 3 4 3 3 4 4 | TCG 1 2 1 1 2 2 | TAG 0 0 0 0 0 0 | Trp TGG 6 6 6 6 6 6
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 8 9 8 8 9 10 | Pro CCT 8 9 8 8 8 7 | His CAT 2 2 2 2 2 2 | Arg CGT 13 13 13 13 13 13
CTC 5 5 5 5 4 4 | CCC 8 7 8 8 8 7 | CAC 1 1 1 1 1 1 | CGC 7 7 7 7 7 7
CTA 1 1 1 1 1 1 | CCA 9 9 9 9 9 10 | Gln CAA 5 5 5 5 5 5 | CGA 1 0 1 1 1 1
CTG 3 3 3 3 3 3 | CCG 0 0 0 0 0 0 | CAG 17 16 17 17 17 17 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 10 9 10 10 9 9 | Thr ACT 11 11 11 11 11 11 | Asn AAT 30 30 30 30 30 30 | Ser AGT 4 4 4 4 4 3
ATC 5 6 5 5 6 6 | ACC 1 2 1 1 1 1 | AAC 18 17 18 18 18 18 | AGC 5 5 5 5 5 6
ATA 0 0 0 0 0 0 | ACA 7 7 7 7 7 6 | Lys AAA 15 15 15 15 14 15 | Arg AGA 8 8 8 8 8 8
Met ATG 3 3 3 3 3 4 | ACG 2 2 2 2 2 2 | AAG 20 21 20 20 20 19 | AGG 7 7 7 7 7 7
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 11 11 11 11 11 10 | Ala GCT 10 10 10 10 9 9 | Asp GAT 12 13 12 12 13 13 | Gly GGT 15 15 15 15 14 14
GTC 4 4 4 4 4 4 | GCC 9 9 9 9 10 10 | GAC 12 12 12 12 12 12 | GGC 10 10 10 10 11 10
GTA 6 6 6 6 7 7 | GCA 9 9 9 9 9 9 | Glu GAA 16 16 16 16 16 15 | GGA 11 11 11 11 11 12
GTG 8 6 8 8 6 6 | GCG 3 3 3 3 3 3 | GAG 10 9 10 10 9 10 | GGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 5 5 5 5 4 5 | Ser TCT 12 12 12 12 12 12 | Tyr TAT 5 5 5 5 5 5 | Cys TGT 0 0 0 0 0 0
TTC 6 6 6 6 7 6 | TCC 6 6 6 6 6 6 | TAC 5 5 5 5 5 5 | TGC 1 1 1 1 1 1
Leu TTA 2 2 2 1 2 2 | TCA 7 7 7 6 7 6 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 3 3 3 4 4 3 | TCG 1 1 1 2 2 1 | TAG 0 0 0 0 0 0 | Trp TGG 6 6 6 6 6 6
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 8 8 8 5 8 8 | Pro CCT 8 8 8 9 8 8 | His CAT 2 2 2 3 2 2 | Arg CGT 13 13 13 15 14 13
CTC 5 5 5 7 5 5 | CCC 8 8 8 7 8 8 | CAC 1 1 1 1 1 1 | CGC 7 7 7 5 6 7
CTA 1 1 1 1 1 1 | CCA 9 9 9 8 9 10 | Gln CAA 5 5 5 5 5 5 | CGA 1 1 1 1 1 1
CTG 3 3 3 2 3 3 | CCG 0 0 0 1 0 0 | CAG 17 17 17 18 17 17 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 10 10 10 10 9 10 | Thr ACT 11 11 11 9 11 11 | Asn AAT 30 30 30 27 30 28 | Ser AGT 4 4 4 4 4 5
ATC 5 5 5 5 6 5 | ACC 1 1 1 2 1 1 | AAC 18 18 18 21 18 20 | AGC 5 5 5 4 5 4
ATA 0 0 0 1 0 0 | ACA 7 7 7 8 7 7 | Lys AAA 15 15 15 12 15 15 | Arg AGA 8 8 8 5 8 9
Met ATG 3 3 3 4 3 3 | ACG 2 2 2 2 2 2 | AAG 20 20 20 23 20 20 | AGG 7 7 7 9 7 6
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 12 11 11 12 11 11 | Ala GCT 10 11 11 11 9 10 | Asp GAT 12 12 12 12 12 12 | Gly GGT 14 15 15 13 14 15
GTC 4 4 4 4 4 4 | GCC 9 8 8 8 10 9 | GAC 12 12 12 12 13 12 | GGC 10 10 10 9 11 10
GTA 6 6 6 4 6 6 | GCA 9 9 9 8 9 9 | Glu GAA 16 16 16 16 15 16 | GGA 11 11 11 13 11 10
GTG 8 8 8 8 6 8 | GCG 3 3 3 4 3 3 | GAG 10 10 10 10 10 10 | GGG 1 1 1 3 1 2
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 5 5 5 5 5 5 | Ser TCT 13 12 12 12 11 12 | Tyr TAT 4 4 4 5 4 5 | Cys TGT 0 0 0 0 0 0
TTC 6 6 6 6 6 6 | TCC 4 6 6 6 7 6 | TAC 5 6 6 5 6 5 | TGC 2 1 1 1 1 1
Leu TTA 2 2 2 2 2 2 | TCA 7 7 7 7 7 7 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 3 4 4 3 4 3 | TCG 2 2 1 1 1 1 | TAG 0 0 0 0 0 0 | Trp TGG 6 6 6 6 6 6
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 6 9 9 8 8 7 | Pro CCT 9 8 8 8 8 9 | His CAT 4 2 2 1 2 2 | Arg CGT 15 13 13 13 13 13
CTC 7 4 4 5 5 6 | CCC 6 8 8 8 7 8 | CAC 1 1 1 2 1 1 | CGC 5 7 7 7 7 7
CTA 1 1 1 1 1 1 | CCA 9 9 9 9 8 8 | Gln CAA 5 5 5 5 7 5 | CGA 1 1 1 1 1 1
CTG 3 3 3 3 2 3 | CCG 0 0 2 0 2 0 | CAG 17 17 16 17 16 17 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 10 9 9 10 9 9 | Thr ACT 9 11 11 11 12 11 | Asn AAT 27 30 30 30 27 30 | Ser AGT 3 4 4 4 6 4
ATC 6 6 6 5 6 6 | ACC 2 1 1 1 1 1 | AAC 21 18 18 18 21 19 | AGC 4 5 5 5 2 5
ATA 0 0 0 0 0 0 | ACA 7 7 7 7 7 7 | Lys AAA 12 15 14 15 14 15 | Arg AGA 7 8 9 8 7 8
Met ATG 3 3 3 3 5 3 | ACG 2 2 2 2 2 2 | AAG 23 20 20 20 21 19 | AGG 8 7 6 7 7 7
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 12 11 11 11 12 11 | Ala GCT 11 9 10 10 10 10 | Asp GAT 14 13 13 12 14 12 | Gly GGT 14 14 14 15 14 15
GTC 4 4 4 4 4 4 | GCC 6 10 10 9 9 9 | GAC 10 12 12 12 11 12 | GGC 11 11 11 10 10 10
GTA 5 6 7 6 5 6 | GCA 10 9 9 9 8 9 | Glu GAA 16 16 16 16 15 16 | GGA 9 11 10 11 11 11
GTG 7 6 6 8 8 8 | GCG 5 3 2 3 3 3 | GAG 10 9 9 10 9 10 | GGG 4 1 2 1 2 1
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 5 5 6 5 5 5 | Ser TCT 12 12 12 12 12 12 | Tyr TAT 5 4 5 5 5 6 | Cys TGT 0 0 0 0 0 0
TTC 6 6 5 6 6 6 | TCC 6 6 6 6 6 6 | TAC 5 6 5 5 5 5 | TGC 1 1 1 1 1 2
Leu TTA 2 1 2 2 2 2 | TCA 7 7 7 7 7 7 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 3 5 3 3 3 3 | TCG 1 2 1 2 1 1 | TAG 0 0 0 0 0 0 | Trp TGG 6 6 6 6 6 6
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 8 8 8 8 8 9 | Pro CCT 8 9 8 10 8 8 | His CAT 2 2 2 2 2 3 | Arg CGT 13 12 13 13 13 13
CTC 5 5 5 5 5 4 | CCC 8 7 8 7 8 8 | CAC 1 1 1 1 1 2 | CGC 7 8 7 7 7 7
CTA 1 1 1 1 1 1 | CCA 9 9 9 8 9 9 | Gln CAA 5 6 5 5 5 4 | CGA 1 1 1 1 1 1
CTG 3 3 3 3 3 3 | CCG 0 0 0 0 0 0 | CAG 17 16 17 17 17 16 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 10 9 10 8 10 9 | Thr ACT 11 11 11 11 11 11 | Asn AAT 30 31 30 30 31 29 | Ser AGT 4 3 4 4 3 4
ATC 5 6 5 6 5 6 | ACC 1 1 1 1 1 1 | AAC 18 18 18 18 17 18 | AGC 5 5 5 5 6 5
ATA 0 0 0 0 0 0 | ACA 7 7 7 7 7 7 | Lys AAA 15 12 15 15 15 15 | Arg AGA 8 7 8 8 8 8
Met ATG 3 4 3 3 3 3 | ACG 2 2 2 2 2 1 | AAG 20 23 20 20 20 20 | AGG 7 8 7 7 7 7
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 11 13 11 11 12 12 | Ala GCT 10 10 10 10 10 9 | Asp GAT 12 14 12 11 13 12 | Gly GGT 15 15 15 14 15 13
GTC 4 4 4 4 3 4 | GCC 9 9 8 9 9 10 | GAC 12 11 13 13 11 12 | GGC 10 9 10 11 10 10
GTA 7 4 6 7 6 6 | GCA 8 9 9 9 9 9 | Glu GAA 16 15 16 16 16 16 | GGA 11 12 11 11 11 11
GTG 8 5 8 7 8 8 | GCG 3 3 3 3 3 4 | GAG 10 10 10 10 10 10 | GGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Codon position x base (3x4) table for each sequence.
#1: C260
position 1: T:0.12925 C:0.20635 A:0.33107 G:0.33333
position 2: T:0.18367 C:0.23129 A:0.38095 G:0.20408
position 3: T:0.35828 C:0.23129 A:0.22449 G:0.18594
Average T:0.22373 C:0.22298 A:0.31217 G:0.24112
#2: C11
position 1: T:0.13605 C:0.20181 A:0.32653 G:0.33560
position 2: T:0.18141 C:0.23129 A:0.38322 G:0.20408
position 3: T:0.35374 C:0.22676 A:0.20635 G:0.21315
Average T:0.22373 C:0.21995 A:0.30537 G:0.25094
#3: C272
position 1: T:0.13832 C:0.19955 A:0.33333 G:0.32880
position 2: T:0.18594 C:0.23129 A:0.38095 G:0.20181
position 3: T:0.35147 C:0.23583 A:0.21088 G:0.20181
Average T:0.22525 C:0.22222 A:0.30839 G:0.24414
#4: C521
position 1: T:0.13605 C:0.20181 A:0.32880 G:0.33333
position 2: T:0.18141 C:0.23356 A:0.38095 G:0.20408
position 3: T:0.35374 C:0.23356 A:0.21995 G:0.19274
Average T:0.22373 C:0.22298 A:0.30990 G:0.24339
#5: C111
position 1: T:0.13379 C:0.20181 A:0.33107 G:0.33333
position 2: T:0.18141 C:0.23356 A:0.38095 G:0.20408
position 3: T:0.35601 C:0.23129 A:0.21995 G:0.19274
Average T:0.22373 C:0.22222 A:0.31066 G:0.24339
#6: C149
position 1: T:0.13605 C:0.20181 A:0.33333 G:0.32880
position 2: T:0.18594 C:0.23356 A:0.38095 G:0.19955
position 3: T:0.35147 C:0.23583 A:0.21088 G:0.20181
Average T:0.22449 C:0.22373 A:0.30839 G:0.24339
#7: C210
position 1: T:0.13379 C:0.20181 A:0.33107 G:0.33333
position 2: T:0.18141 C:0.23356 A:0.38095 G:0.20408
position 3: T:0.35374 C:0.23356 A:0.21995 G:0.19274
Average T:0.22298 C:0.22298 A:0.31066 G:0.24339
#8: C60
position 1: T:0.13832 C:0.19955 A:0.33333 G:0.32880
position 2: T:0.18141 C:0.23810 A:0.37868 G:0.20181
position 3: T:0.35601 C:0.23583 A:0.21769 G:0.19048
Average T:0.22525 C:0.22449 A:0.30990 G:0.24036
#9: C537
position 1: T:0.13379 C:0.20181 A:0.33107 G:0.33333
position 2: T:0.18141 C:0.23356 A:0.38095 G:0.20408
position 3: T:0.35374 C:0.23356 A:0.21995 G:0.19274
Average T:0.22298 C:0.22298 A:0.31066 G:0.24339
#10: C314
position 1: T:0.13379 C:0.20181 A:0.33107 G:0.33333
position 2: T:0.18141 C:0.23356 A:0.38095 G:0.20408
position 3: T:0.35374 C:0.23356 A:0.21995 G:0.19274
Average T:0.22298 C:0.22298 A:0.31066 G:0.24339
#11: C367
position 1: T:0.13832 C:0.20181 A:0.32880 G:0.33107
position 2: T:0.18141 C:0.23583 A:0.37868 G:0.20408
position 3: T:0.34921 C:0.24036 A:0.21995 G:0.19048
Average T:0.22298 C:0.22600 A:0.30915 G:0.24187
#12: C65
position 1: T:0.14059 C:0.20181 A:0.32880 G:0.32880
position 2: T:0.18367 C:0.23356 A:0.37868 G:0.20408
position 3: T:0.34694 C:0.23583 A:0.22449 G:0.19274
Average T:0.22373 C:0.22373 A:0.31066 G:0.24187
#13: C199
position 1: T:0.13379 C:0.20181 A:0.33107 G:0.33333
position 2: T:0.18367 C:0.23356 A:0.38095 G:0.20181
position 3: T:0.35374 C:0.23356 A:0.21995 G:0.19274
Average T:0.22373 C:0.22298 A:0.31066 G:0.24263
#14: C292
position 1: T:0.13379 C:0.20181 A:0.33107 G:0.33333
position 2: T:0.18141 C:0.23356 A:0.38095 G:0.20408
position 3: T:0.35601 C:0.23129 A:0.21995 G:0.19274
Average T:0.22373 C:0.22222 A:0.31066 G:0.24339
#15: C552
position 1: T:0.13379 C:0.20181 A:0.33107 G:0.33333
position 2: T:0.18141 C:0.23356 A:0.38095 G:0.20408
position 3: T:0.35601 C:0.23129 A:0.21995 G:0.19274
Average T:0.22373 C:0.22222 A:0.31066 G:0.24339
#16: C480
position 1: T:0.13379 C:0.20181 A:0.33107 G:0.33333
position 2: T:0.17914 C:0.23356 A:0.38549 G:0.20181
position 3: T:0.34467 C:0.23356 A:0.20181 G:0.21995
Average T:0.21920 C:0.22298 A:0.30612 G:0.25170
#17: C184
position 1: T:0.13832 C:0.20181 A:0.33107 G:0.32880
position 2: T:0.17914 C:0.23583 A:0.38095 G:0.20408
position 3: T:0.34694 C:0.24263 A:0.21769 G:0.19274
Average T:0.22147 C:0.22676 A:0.30990 G:0.24187
#18: C245
position 1: T:0.13152 C:0.20408 A:0.33107 G:0.33333
position 2: T:0.18141 C:0.23356 A:0.38095 G:0.20408
position 3: T:0.35147 C:0.23583 A:0.21995 G:0.19274
Average T:0.22147 C:0.22449 A:0.31066 G:0.24339
#19: C7
position 1: T:0.13379 C:0.20408 A:0.32653 G:0.33560
position 2: T:0.18141 C:0.23129 A:0.38322 G:0.20408
position 3: T:0.35374 C:0.22676 A:0.20635 G:0.21315
Average T:0.22298 C:0.22071 A:0.30537 G:0.25094
#20: C322
position 1: T:0.13832 C:0.20181 A:0.33107 G:0.32880
position 2: T:0.17914 C:0.23583 A:0.38095 G:0.20408
position 3: T:0.34921 C:0.24036 A:0.21995 G:0.19048
Average T:0.22222 C:0.22600 A:0.31066 G:0.24112
#21: C334
position 1: T:0.13605 C:0.20408 A:0.32880 G:0.33107
position 2: T:0.18141 C:0.23810 A:0.37642 G:0.20408
position 3: T:0.35147 C:0.24036 A:0.21995 G:0.18821
Average T:0.22298 C:0.22751 A:0.30839 G:0.24112
#22: C196
position 1: T:0.13379 C:0.20181 A:0.33107 G:0.33333
position 2: T:0.18141 C:0.23356 A:0.38095 G:0.20408
position 3: T:0.35147 C:0.23583 A:0.21995 G:0.19274
Average T:0.22222 C:0.22373 A:0.31066 G:0.24339
#23: C129
position 1: T:0.13605 C:0.20181 A:0.33333 G:0.32880
position 2: T:0.18594 C:0.23356 A:0.38095 G:0.19955
position 3: T:0.35147 C:0.23583 A:0.21088 G:0.20181
Average T:0.22449 C:0.22373 A:0.30839 G:0.24339
#24: C136
position 1: T:0.13379 C:0.20181 A:0.33107 G:0.33333
position 2: T:0.18141 C:0.23356 A:0.38095 G:0.20408
position 3: T:0.35147 C:0.24036 A:0.21769 G:0.19048
Average T:0.22222 C:0.22525 A:0.30990 G:0.24263
#25: C385
position 1: T:0.13379 C:0.20181 A:0.33107 G:0.33333
position 2: T:0.18367 C:0.23129 A:0.38095 G:0.20408
position 3: T:0.35374 C:0.23356 A:0.21995 G:0.19274
Average T:0.22373 C:0.22222 A:0.31066 G:0.24339
#26: C58
position 1: T:0.13832 C:0.20181 A:0.33333 G:0.32653
position 2: T:0.17914 C:0.23583 A:0.38322 G:0.20181
position 3: T:0.35828 C:0.23356 A:0.20635 G:0.20181
Average T:0.22525 C:0.22373 A:0.30763 G:0.24339
#27: C191
position 1: T:0.13379 C:0.20181 A:0.33107 G:0.33333
position 2: T:0.18141 C:0.23129 A:0.38322 G:0.20408
position 3: T:0.35601 C:0.23129 A:0.21995 G:0.19274
Average T:0.22373 C:0.22147 A:0.31141 G:0.24339
#28: C142
position 1: T:0.13605 C:0.20181 A:0.32880 G:0.33333
position 2: T:0.17914 C:0.23583 A:0.38095 G:0.20408
position 3: T:0.34921 C:0.23810 A:0.21995 G:0.19274
Average T:0.22147 C:0.22525 A:0.30990 G:0.24339
#29: C391
position 1: T:0.13379 C:0.20181 A:0.33107 G:0.33333
position 2: T:0.18141 C:0.23356 A:0.38095 G:0.20408
position 3: T:0.35828 C:0.22902 A:0.21995 G:0.19274
Average T:0.22449 C:0.22147 A:0.31066 G:0.24339
#30: C337
position 1: T:0.13832 C:0.20181 A:0.32653 G:0.33333
position 2: T:0.18367 C:0.23356 A:0.38095 G:0.20181
position 3: T:0.35147 C:0.24036 A:0.21769 G:0.19048
Average T:0.22449 C:0.22525 A:0.30839 G:0.24187
Sums of codon usage counts
------------------------------------------------------------------------------
Phe F TTT 152 | Ser S TCT 358 | Tyr Y TAT 140 | Cys C TGT 0
TTC 180 | TCC 179 | TAC 160 | TGC 33
Leu L TTA 58 | TCA 209 | *** * TAA 0 | *** * TGA 0
TTG 101 | TCG 40 | TAG 0 | Trp W TGG 180
------------------------------------------------------------------------------
Leu L CTT 238 | Pro P CCT 247 | His H CAT 64 | Arg R CGT 397
CTC 151 | CCC 228 | CAC 33 | CGC 204
CTA 31 | CCA 266 | Gln Q CAA 156 | CGA 29
CTG 86 | CCG 9 | CAG 504 | CGG 30
------------------------------------------------------------------------------
Ile I ATT 285 | Thr T ACT 327 | Asn N AAT 881 | Ser S AGT 123
ATC 166 | ACC 35 | AAC 558 | AGC 138
ATA 2 | ACA 208 | Lys K AAA 433 | Arg R AGA 233
Met M ATG 99 | ACG 59 | AAG 614 | AGG 213
------------------------------------------------------------------------------
Val V GTT 341 | Ala A GCT 302 | Asp D GAT 378 | Gly G GGT 434
GTC 119 | GCC 264 | GAC 352 | GGC 305
GTA 177 | GCA 267 | Glu E GAA 475 | GGA 328
GTG 220 | GCG 95 | GAG 293 | GGG 43
------------------------------------------------------------------------------
Codon position x base (3x4) table, overall
position 1: T:0.13530 C:0.20204 A:0.33061 G:0.33205
position 2: T:0.18186 C:0.23379 A:0.38103 G:0.20333
position 3: T:0.35276 C:0.23469 A:0.21708 G:0.19546
Average T:0.22331 C:0.22351 A:0.30957 G:0.24361
Model 1: NearlyNeutral (2 categories)
TREE # 1: (12, 20, (11, 21), (((((13, 30), 18, 22, 27, 4, (1, 5, 14, 15), 7, 10, 25, 24, 9, 29), 28), (((16, (2, 19)), (3, 6, 23)), 26), 8), 17)); MP score: 198
check convergence..
lnL(ntime: 42 np: 45): -3031.083384 +0.000000
31..12 31..20 31..32 32..11 32..21 31..33 33..34 34..35 35..36 36..37 37..13 37..30 36..18 36..22 36..27 36..4 36..38 38..1 38..5 38..14 38..15 36..7 36..10 36..25 36..24 36..9 36..29 35..28 34..39 39..40 40..41 41..16 41..42 42..2 42..19 40..43 43..3 43..6 43..23 39..26 34..8 33..17
0.031027 0.000004 0.004690 0.000004 0.011792 0.002345 0.004452 0.009432 0.009664 0.002339 0.000004 0.021363 0.014103 0.002336 0.004677 0.002341 0.002336 0.040705 0.000004 0.000004 0.000004 0.000004 0.000004 0.002337 0.011743 0.000004 0.009385 0.011583 0.048949 0.030493 0.042663 0.024803 0.060499 0.007016 0.000004 0.034836 0.004682 0.000004 0.000004 0.011604 0.012022 0.011759 2.764988 0.904689 0.060040
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.488025
(12: 0.031027, 20: 0.000004, (11: 0.000004, 21: 0.011792): 0.004690, (((((13: 0.000004, 30: 0.021363): 0.002339, 18: 0.014103, 22: 0.002336, 27: 0.004677, 4: 0.002341, (1: 0.040705, 5: 0.000004, 14: 0.000004, 15: 0.000004): 0.002336, 7: 0.000004, 10: 0.000004, 25: 0.002337, 24: 0.011743, 9: 0.000004, 29: 0.009385): 0.009664, 28: 0.011583): 0.009432, (((16: 0.024803, (2: 0.007016, 19: 0.000004): 0.060499): 0.042663, (3: 0.004682, 6: 0.000004, 23: 0.000004): 0.034836): 0.030493, 26: 0.011604): 0.048949, 8: 0.012022): 0.004452, 17: 0.011759): 0.002345);
(C65: 0.031027, C322: 0.000004, (C367: 0.000004, C334: 0.011792): 0.004690, (((((C199: 0.000004, C337: 0.021363): 0.002339, C245: 0.014103, C196: 0.002336, C191: 0.004677, C521: 0.002341, (C260: 0.040705, C111: 0.000004, C292: 0.000004, C552: 0.000004): 0.002336, C210: 0.000004, C314: 0.000004, C385: 0.002337, C136: 0.011743, C537: 0.000004, C391: 0.009385): 0.009664, C142: 0.011583): 0.009432, (((C480: 0.024803, (C11: 0.007016, C7: 0.000004): 0.060499): 0.042663, (C272: 0.004682, C149: 0.000004, C129: 0.000004): 0.034836): 0.030493, C58: 0.011604): 0.048949, C60: 0.012022): 0.004452, C184: 0.011759): 0.002345);
Detailed output identifying parameters
kappa (ts/tv) = 2.76499
MLEs of dN/dS (w) for site classes (K=2)
p: 0.90469 0.09531
w: 0.06004 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.031 979.6 343.4 0.1496 0.0042 0.0279 4.1 9.6
31..20 0.000 979.6 343.4 0.1496 0.0000 0.0000 0.0 0.0
31..32 0.005 979.6 343.4 0.1496 0.0006 0.0042 0.6 1.4
32..11 0.000 979.6 343.4 0.1496 0.0000 0.0000 0.0 0.0
32..21 0.012 979.6 343.4 0.1496 0.0016 0.0106 1.6 3.6
31..33 0.002 979.6 343.4 0.1496 0.0003 0.0021 0.3 0.7
33..34 0.004 979.6 343.4 0.1496 0.0006 0.0040 0.6 1.4
34..35 0.009 979.6 343.4 0.1496 0.0013 0.0085 1.2 2.9
35..36 0.010 979.6 343.4 0.1496 0.0013 0.0087 1.3 3.0
36..37 0.002 979.6 343.4 0.1496 0.0003 0.0021 0.3 0.7
37..13 0.000 979.6 343.4 0.1496 0.0000 0.0000 0.0 0.0
37..30 0.021 979.6 343.4 0.1496 0.0029 0.0192 2.8 6.6
36..18 0.014 979.6 343.4 0.1496 0.0019 0.0127 1.9 4.4
36..22 0.002 979.6 343.4 0.1496 0.0003 0.0021 0.3 0.7
36..27 0.005 979.6 343.4 0.1496 0.0006 0.0042 0.6 1.4
36..4 0.002 979.6 343.4 0.1496 0.0003 0.0021 0.3 0.7
36..38 0.002 979.6 343.4 0.1496 0.0003 0.0021 0.3 0.7
38..1 0.041 979.6 343.4 0.1496 0.0055 0.0366 5.4 12.6
38..5 0.000 979.6 343.4 0.1496 0.0000 0.0000 0.0 0.0
38..14 0.000 979.6 343.4 0.1496 0.0000 0.0000 0.0 0.0
38..15 0.000 979.6 343.4 0.1496 0.0000 0.0000 0.0 0.0
36..7 0.000 979.6 343.4 0.1496 0.0000 0.0000 0.0 0.0
36..10 0.000 979.6 343.4 0.1496 0.0000 0.0000 0.0 0.0
36..25 0.002 979.6 343.4 0.1496 0.0003 0.0021 0.3 0.7
36..24 0.012 979.6 343.4 0.1496 0.0016 0.0106 1.5 3.6
36..9 0.000 979.6 343.4 0.1496 0.0000 0.0000 0.0 0.0
36..29 0.009 979.6 343.4 0.1496 0.0013 0.0084 1.2 2.9
35..28 0.012 979.6 343.4 0.1496 0.0016 0.0104 1.5 3.6
34..39 0.049 979.6 343.4 0.1496 0.0066 0.0441 6.5 15.1
39..40 0.030 979.6 343.4 0.1496 0.0041 0.0274 4.0 9.4
40..41 0.043 979.6 343.4 0.1496 0.0057 0.0384 5.6 13.2
41..16 0.025 979.6 343.4 0.1496 0.0033 0.0223 3.3 7.7
41..42 0.060 979.6 343.4 0.1496 0.0081 0.0545 8.0 18.7
42..2 0.007 979.6 343.4 0.1496 0.0009 0.0063 0.9 2.2
42..19 0.000 979.6 343.4 0.1496 0.0000 0.0000 0.0 0.0
40..43 0.035 979.6 343.4 0.1496 0.0047 0.0314 4.6 10.8
43..3 0.005 979.6 343.4 0.1496 0.0006 0.0042 0.6 1.4
43..6 0.000 979.6 343.4 0.1496 0.0000 0.0000 0.0 0.0
43..23 0.000 979.6 343.4 0.1496 0.0000 0.0000 0.0 0.0
39..26 0.012 979.6 343.4 0.1496 0.0016 0.0104 1.5 3.6
34..8 0.012 979.6 343.4 0.1496 0.0016 0.0108 1.6 3.7
33..17 0.012 979.6 343.4 0.1496 0.0016 0.0106 1.6 3.6
Time used: 5:17
Model 2: PositiveSelection (3 categories)
TREE # 1: (12, 20, (11, 21), (((((13, 30), 18, 22, 27, 4, (1, 5, 14, 15), 7, 10, 25, 24, 9, 29), 28), (((16, (2, 19)), (3, 6, 23)), 26), 8), 17)); MP score: 198
check convergence..
lnL(ntime: 42 np: 47): -3027.632754 +0.000000
31..12 31..20 31..32 32..11 32..21 31..33 33..34 34..35 35..36 36..37 37..13 37..30 36..18 36..22 36..27 36..4 36..38 38..1 38..5 38..14 38..15 36..7 36..10 36..25 36..24 36..9 36..29 35..28 34..39 39..40 40..41 41..16 41..42 42..2 42..19 40..43 43..3 43..6 43..23 39..26 34..8 33..17
0.032004 0.000004 0.004837 0.000004 0.012160 0.002419 0.004598 0.009733 0.009891 0.002379 0.000004 0.021731 0.014352 0.002376 0.004758 0.002381 0.002377 0.041489 0.000004 0.000004 0.000004 0.000004 0.000004 0.002378 0.011952 0.000004 0.009550 0.011933 0.050364 0.030691 0.044007 0.025455 0.061387 0.007141 0.000004 0.036058 0.004748 0.000004 0.000004 0.012120 0.012391 0.012131 2.824615 0.926146 0.069005 0.075460 7.783362
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.499838
(12: 0.032004, 20: 0.000004, (11: 0.000004, 21: 0.012160): 0.004837, (((((13: 0.000004, 30: 0.021731): 0.002379, 18: 0.014352, 22: 0.002376, 27: 0.004758, 4: 0.002381, (1: 0.041489, 5: 0.000004, 14: 0.000004, 15: 0.000004): 0.002377, 7: 0.000004, 10: 0.000004, 25: 0.002378, 24: 0.011952, 9: 0.000004, 29: 0.009550): 0.009891, 28: 0.011933): 0.009733, (((16: 0.025455, (2: 0.007141, 19: 0.000004): 0.061387): 0.044007, (3: 0.004748, 6: 0.000004, 23: 0.000004): 0.036058): 0.030691, 26: 0.012120): 0.050364, 8: 0.012391): 0.004598, 17: 0.012131): 0.002419);
(C65: 0.032004, C322: 0.000004, (C367: 0.000004, C334: 0.012160): 0.004837, (((((C199: 0.000004, C337: 0.021731): 0.002379, C245: 0.014352, C196: 0.002376, C191: 0.004758, C521: 0.002381, (C260: 0.041489, C111: 0.000004, C292: 0.000004, C552: 0.000004): 0.002377, C210: 0.000004, C314: 0.000004, C385: 0.002378, C136: 0.011952, C537: 0.000004, C391: 0.009550): 0.009891, C142: 0.011933): 0.009733, (((C480: 0.025455, (C11: 0.007141, C7: 0.000004): 0.061387): 0.044007, (C272: 0.004748, C149: 0.000004, C129: 0.000004): 0.036058): 0.030691, C58: 0.012120): 0.050364, C60: 0.012391): 0.004598, C184: 0.012131): 0.002419);
Detailed output identifying parameters
kappa (ts/tv) = 2.82461
MLEs of dN/dS (w) for site classes (K=3)
p: 0.92615 0.06900 0.00485
w: 0.07546 1.00000 7.78336
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.032 978.3 344.7 0.1766 0.0048 0.0273 4.7 9.4
31..20 0.000 978.3 344.7 0.1766 0.0000 0.0000 0.0 0.0
31..32 0.005 978.3 344.7 0.1766 0.0007 0.0041 0.7 1.4
32..11 0.000 978.3 344.7 0.1766 0.0000 0.0000 0.0 0.0
32..21 0.012 978.3 344.7 0.1766 0.0018 0.0104 1.8 3.6
31..33 0.002 978.3 344.7 0.1766 0.0004 0.0021 0.4 0.7
33..34 0.005 978.3 344.7 0.1766 0.0007 0.0039 0.7 1.4
34..35 0.010 978.3 344.7 0.1766 0.0015 0.0083 1.4 2.9
35..36 0.010 978.3 344.7 0.1766 0.0015 0.0084 1.5 2.9
36..37 0.002 978.3 344.7 0.1766 0.0004 0.0020 0.4 0.7
37..13 0.000 978.3 344.7 0.1766 0.0000 0.0000 0.0 0.0
37..30 0.022 978.3 344.7 0.1766 0.0033 0.0185 3.2 6.4
36..18 0.014 978.3 344.7 0.1766 0.0022 0.0122 2.1 4.2
36..22 0.002 978.3 344.7 0.1766 0.0004 0.0020 0.3 0.7
36..27 0.005 978.3 344.7 0.1766 0.0007 0.0041 0.7 1.4
36..4 0.002 978.3 344.7 0.1766 0.0004 0.0020 0.4 0.7
36..38 0.002 978.3 344.7 0.1766 0.0004 0.0020 0.4 0.7
38..1 0.041 978.3 344.7 0.1766 0.0062 0.0354 6.1 12.2
38..5 0.000 978.3 344.7 0.1766 0.0000 0.0000 0.0 0.0
38..14 0.000 978.3 344.7 0.1766 0.0000 0.0000 0.0 0.0
38..15 0.000 978.3 344.7 0.1766 0.0000 0.0000 0.0 0.0
36..7 0.000 978.3 344.7 0.1766 0.0000 0.0000 0.0 0.0
36..10 0.000 978.3 344.7 0.1766 0.0000 0.0000 0.0 0.0
36..25 0.002 978.3 344.7 0.1766 0.0004 0.0020 0.4 0.7
36..24 0.012 978.3 344.7 0.1766 0.0018 0.0102 1.8 3.5
36..9 0.000 978.3 344.7 0.1766 0.0000 0.0000 0.0 0.0
36..29 0.010 978.3 344.7 0.1766 0.0014 0.0081 1.4 2.8
35..28 0.012 978.3 344.7 0.1766 0.0018 0.0102 1.8 3.5
34..39 0.050 978.3 344.7 0.1766 0.0076 0.0429 7.4 14.8
39..40 0.031 978.3 344.7 0.1766 0.0046 0.0262 4.5 9.0
40..41 0.044 978.3 344.7 0.1766 0.0066 0.0375 6.5 12.9
41..16 0.025 978.3 344.7 0.1766 0.0038 0.0217 3.7 7.5
41..42 0.061 978.3 344.7 0.1766 0.0092 0.0523 9.0 18.0
42..2 0.007 978.3 344.7 0.1766 0.0011 0.0061 1.1 2.1
42..19 0.000 978.3 344.7 0.1766 0.0000 0.0000 0.0 0.0
40..43 0.036 978.3 344.7 0.1766 0.0054 0.0307 5.3 10.6
43..3 0.005 978.3 344.7 0.1766 0.0007 0.0040 0.7 1.4
43..6 0.000 978.3 344.7 0.1766 0.0000 0.0000 0.0 0.0
43..23 0.000 978.3 344.7 0.1766 0.0000 0.0000 0.0 0.0
39..26 0.012 978.3 344.7 0.1766 0.0018 0.0103 1.8 3.6
34..8 0.012 978.3 344.7 0.1766 0.0019 0.0106 1.8 3.6
33..17 0.012 978.3 344.7 0.1766 0.0018 0.0103 1.8 3.6
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C260)
Pr(w>1) post mean +- SE for w
408 V 0.584 4.958
412 V 0.989* 7.711
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: C260)
Pr(w>1) post mean +- SE for w
182 Q 0.595 1.665 +- 0.930
216 V 0.755 1.955 +- 1.043
379 A 0.592 1.658 +- 0.928
408 V 0.781 2.003 +- 1.065
412 V 0.903 2.138 +- 1.055
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: 0.986 0.014 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
w2: 0.526 0.341 0.088 0.024 0.010 0.005 0.003 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 0.111
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 0.002 0.175 0.712
sum of density on p0-p1 = 1.000000
Time used: 14:12
Model 7: beta (10 categories)
TREE # 1: (12, 20, (11, 21), (((((13, 30), 18, 22, 27, 4, (1, 5, 14, 15), 7, 10, 25, 24, 9, 29), 28), (((16, (2, 19)), (3, 6, 23)), 26), 8), 17)); MP score: 198
lnL(ntime: 42 np: 45): -3031.689001 +0.000000
31..12 31..20 31..32 32..11 32..21 31..33 33..34 34..35 35..36 36..37 37..13 37..30 36..18 36..22 36..27 36..4 36..38 38..1 38..5 38..14 38..15 36..7 36..10 36..25 36..24 36..9 36..29 35..28 34..39 39..40 40..41 41..16 41..42 42..2 42..19 40..43 43..3 43..6 43..23 39..26 34..8 33..17
0.031132 0.000004 0.004702 0.000004 0.011820 0.002352 0.004466 0.009462 0.009689 0.002347 0.000004 0.021423 0.014141 0.002343 0.004690 0.002349 0.002343 0.040816 0.000004 0.000004 0.000004 0.000004 0.000004 0.002344 0.011781 0.000004 0.009413 0.011611 0.049077 0.030599 0.042773 0.024827 0.060703 0.007027 0.000004 0.034943 0.004699 0.000004 0.000004 0.011639 0.012063 0.011794 2.793415 0.095234 0.514709
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.489419
(12: 0.031132, 20: 0.000004, (11: 0.000004, 21: 0.011820): 0.004702, (((((13: 0.000004, 30: 0.021423): 0.002347, 18: 0.014141, 22: 0.002343, 27: 0.004690, 4: 0.002349, (1: 0.040816, 5: 0.000004, 14: 0.000004, 15: 0.000004): 0.002343, 7: 0.000004, 10: 0.000004, 25: 0.002344, 24: 0.011781, 9: 0.000004, 29: 0.009413): 0.009689, 28: 0.011611): 0.009462, (((16: 0.024827, (2: 0.007027, 19: 0.000004): 0.060703): 0.042773, (3: 0.004699, 6: 0.000004, 23: 0.000004): 0.034943): 0.030599, 26: 0.011639): 0.049077, 8: 0.012063): 0.004466, 17: 0.011794): 0.002352);
(C65: 0.031132, C322: 0.000004, (C367: 0.000004, C334: 0.011820): 0.004702, (((((C199: 0.000004, C337: 0.021423): 0.002347, C245: 0.014141, C196: 0.002343, C191: 0.004690, C521: 0.002349, (C260: 0.040816, C111: 0.000004, C292: 0.000004, C552: 0.000004): 0.002343, C210: 0.000004, C314: 0.000004, C385: 0.002344, C136: 0.011781, C537: 0.000004, C391: 0.009413): 0.009689, C142: 0.011611): 0.009462, (((C480: 0.024827, (C11: 0.007027, C7: 0.000004): 0.060703): 0.042773, (C272: 0.004699, C149: 0.000004, C129: 0.000004): 0.034943): 0.030599, C58: 0.011639): 0.049077, C60: 0.012063): 0.004466, C184: 0.011794): 0.002352);
Detailed output identifying parameters
kappa (ts/tv) = 2.79341
Parameters in M7 (beta):
p = 0.09523 q = 0.51471
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 0.00005 0.00075 0.00614 0.03502 0.14906 0.46227 0.90745
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.031 979.0 344.0 0.1561 0.0043 0.0276 4.2 9.5
31..20 0.000 979.0 344.0 0.1561 0.0000 0.0000 0.0 0.0
31..32 0.005 979.0 344.0 0.1561 0.0007 0.0042 0.6 1.4
32..11 0.000 979.0 344.0 0.1561 0.0000 0.0000 0.0 0.0
32..21 0.012 979.0 344.0 0.1561 0.0016 0.0105 1.6 3.6
31..33 0.002 979.0 344.0 0.1561 0.0003 0.0021 0.3 0.7
33..34 0.004 979.0 344.0 0.1561 0.0006 0.0040 0.6 1.4
34..35 0.009 979.0 344.0 0.1561 0.0013 0.0084 1.3 2.9
35..36 0.010 979.0 344.0 0.1561 0.0013 0.0086 1.3 3.0
36..37 0.002 979.0 344.0 0.1561 0.0003 0.0021 0.3 0.7
37..13 0.000 979.0 344.0 0.1561 0.0000 0.0000 0.0 0.0
37..30 0.021 979.0 344.0 0.1561 0.0030 0.0190 2.9 6.5
36..18 0.014 979.0 344.0 0.1561 0.0020 0.0126 1.9 4.3
36..22 0.002 979.0 344.0 0.1561 0.0003 0.0021 0.3 0.7
36..27 0.005 979.0 344.0 0.1561 0.0006 0.0042 0.6 1.4
36..4 0.002 979.0 344.0 0.1561 0.0003 0.0021 0.3 0.7
36..38 0.002 979.0 344.0 0.1561 0.0003 0.0021 0.3 0.7
38..1 0.041 979.0 344.0 0.1561 0.0057 0.0362 5.5 12.5
38..5 0.000 979.0 344.0 0.1561 0.0000 0.0000 0.0 0.0
38..14 0.000 979.0 344.0 0.1561 0.0000 0.0000 0.0 0.0
38..15 0.000 979.0 344.0 0.1561 0.0000 0.0000 0.0 0.0
36..7 0.000 979.0 344.0 0.1561 0.0000 0.0000 0.0 0.0
36..10 0.000 979.0 344.0 0.1561 0.0000 0.0000 0.0 0.0
36..25 0.002 979.0 344.0 0.1561 0.0003 0.0021 0.3 0.7
36..24 0.012 979.0 344.0 0.1561 0.0016 0.0105 1.6 3.6
36..9 0.000 979.0 344.0 0.1561 0.0000 0.0000 0.0 0.0
36..29 0.009 979.0 344.0 0.1561 0.0013 0.0084 1.3 2.9
35..28 0.012 979.0 344.0 0.1561 0.0016 0.0103 1.6 3.5
34..39 0.049 979.0 344.0 0.1561 0.0068 0.0436 6.7 15.0
39..40 0.031 979.0 344.0 0.1561 0.0042 0.0272 4.2 9.3
40..41 0.043 979.0 344.0 0.1561 0.0059 0.0380 5.8 13.1
41..16 0.025 979.0 344.0 0.1561 0.0034 0.0220 3.4 7.6
41..42 0.061 979.0 344.0 0.1561 0.0084 0.0539 8.2 18.5
42..2 0.007 979.0 344.0 0.1561 0.0010 0.0062 1.0 2.1
42..19 0.000 979.0 344.0 0.1561 0.0000 0.0000 0.0 0.0
40..43 0.035 979.0 344.0 0.1561 0.0048 0.0310 4.7 10.7
43..3 0.005 979.0 344.0 0.1561 0.0007 0.0042 0.6 1.4
43..6 0.000 979.0 344.0 0.1561 0.0000 0.0000 0.0 0.0
43..23 0.000 979.0 344.0 0.1561 0.0000 0.0000 0.0 0.0
39..26 0.012 979.0 344.0 0.1561 0.0016 0.0103 1.6 3.6
34..8 0.012 979.0 344.0 0.1561 0.0017 0.0107 1.6 3.7
33..17 0.012 979.0 344.0 0.1561 0.0016 0.0105 1.6 3.6
Time used: 32:51
Model 8: beta&w>1 (11 categories)
TREE # 1: (12, 20, (11, 21), (((((13, 30), 18, 22, 27, 4, (1, 5, 14, 15), 7, 10, 25, 24, 9, 29), 28), (((16, (2, 19)), (3, 6, 23)), 26), 8), 17)); MP score: 198
lnL(ntime: 42 np: 47): -3027.100963 +0.000000
31..12 31..20 31..32 32..11 32..21 31..33 33..34 34..35 35..36 36..37 37..13 37..30 36..18 36..22 36..27 36..4 36..38 38..1 38..5 38..14 38..15 36..7 36..10 36..25 36..24 36..9 36..29 35..28 34..39 39..40 40..41 41..16 41..42 42..2 42..19 40..43 43..3 43..6 43..23 39..26 34..8 33..17
0.032093 0.000004 0.004847 0.000004 0.012183 0.002425 0.004610 0.009750 0.009904 0.002383 0.000004 0.021744 0.014368 0.002380 0.004766 0.002385 0.002381 0.041551 0.000004 0.000004 0.000004 0.000004 0.000004 0.002382 0.011976 0.000004 0.009565 0.011937 0.050431 0.030772 0.043994 0.025483 0.061325 0.007146 0.000004 0.036043 0.004752 0.000004 0.000004 0.012151 0.012429 0.012165 2.797380 0.993709 0.268837 1.731025 6.925319
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.500365
(12: 0.032093, 20: 0.000004, (11: 0.000004, 21: 0.012183): 0.004847, (((((13: 0.000004, 30: 0.021744): 0.002383, 18: 0.014368, 22: 0.002380, 27: 0.004766, 4: 0.002385, (1: 0.041551, 5: 0.000004, 14: 0.000004, 15: 0.000004): 0.002381, 7: 0.000004, 10: 0.000004, 25: 0.002382, 24: 0.011976, 9: 0.000004, 29: 0.009565): 0.009904, 28: 0.011937): 0.009750, (((16: 0.025483, (2: 0.007146, 19: 0.000004): 0.061325): 0.043994, (3: 0.004752, 6: 0.000004, 23: 0.000004): 0.036043): 0.030772, 26: 0.012151): 0.050431, 8: 0.012429): 0.004610, 17: 0.012165): 0.002425);
(C65: 0.032093, C322: 0.000004, (C367: 0.000004, C334: 0.012183): 0.004847, (((((C199: 0.000004, C337: 0.021744): 0.002383, C245: 0.014368, C196: 0.002380, C191: 0.004766, C521: 0.002385, (C260: 0.041551, C111: 0.000004, C292: 0.000004, C552: 0.000004): 0.002381, C210: 0.000004, C314: 0.000004, C385: 0.002382, C136: 0.011976, C537: 0.000004, C391: 0.009565): 0.009904, C142: 0.011937): 0.009750, (((C480: 0.025483, (C11: 0.007146, C7: 0.000004): 0.061325): 0.043994, (C272: 0.004752, C149: 0.000004, C129: 0.000004): 0.036043): 0.030772, C58: 0.012151): 0.050431, C60: 0.012429): 0.004610, C184: 0.012165): 0.002425);
Detailed output identifying parameters
kappa (ts/tv) = 2.79738
Parameters in M8 (beta&w>1):
p0 = 0.99371 p = 0.26884 q = 1.73103
(p1 = 0.00629) w = 6.92532
MLEs of dN/dS (w) for site classes (K=11)
p: 0.09937 0.09937 0.09937 0.09937 0.09937 0.09937 0.09937 0.09937 0.09937 0.09937 0.00629
w: 0.00001 0.00042 0.00283 0.00994 0.02556 0.05484 0.10517 0.18830 0.32727 0.59263 6.92532
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
31..12 0.032 978.9 344.1 0.1734 0.0048 0.0275 4.7 9.5
31..20 0.000 978.9 344.1 0.1734 0.0000 0.0000 0.0 0.0
31..32 0.005 978.9 344.1 0.1734 0.0007 0.0042 0.7 1.4
32..11 0.000 978.9 344.1 0.1734 0.0000 0.0000 0.0 0.0
32..21 0.012 978.9 344.1 0.1734 0.0018 0.0105 1.8 3.6
31..33 0.002 978.9 344.1 0.1734 0.0004 0.0021 0.4 0.7
33..34 0.005 978.9 344.1 0.1734 0.0007 0.0040 0.7 1.4
34..35 0.010 978.9 344.1 0.1734 0.0015 0.0084 1.4 2.9
35..36 0.010 978.9 344.1 0.1734 0.0015 0.0085 1.4 2.9
36..37 0.002 978.9 344.1 0.1734 0.0004 0.0020 0.3 0.7
37..13 0.000 978.9 344.1 0.1734 0.0000 0.0000 0.0 0.0
37..30 0.022 978.9 344.1 0.1734 0.0032 0.0187 3.2 6.4
36..18 0.014 978.9 344.1 0.1734 0.0021 0.0123 2.1 4.2
36..22 0.002 978.9 344.1 0.1734 0.0004 0.0020 0.3 0.7
36..27 0.005 978.9 344.1 0.1734 0.0007 0.0041 0.7 1.4
36..4 0.002 978.9 344.1 0.1734 0.0004 0.0020 0.3 0.7
36..38 0.002 978.9 344.1 0.1734 0.0004 0.0020 0.3 0.7
38..1 0.042 978.9 344.1 0.1734 0.0062 0.0357 6.1 12.3
38..5 0.000 978.9 344.1 0.1734 0.0000 0.0000 0.0 0.0
38..14 0.000 978.9 344.1 0.1734 0.0000 0.0000 0.0 0.0
38..15 0.000 978.9 344.1 0.1734 0.0000 0.0000 0.0 0.0
36..7 0.000 978.9 344.1 0.1734 0.0000 0.0000 0.0 0.0
36..10 0.000 978.9 344.1 0.1734 0.0000 0.0000 0.0 0.0
36..25 0.002 978.9 344.1 0.1734 0.0004 0.0020 0.3 0.7
36..24 0.012 978.9 344.1 0.1734 0.0018 0.0103 1.7 3.5
36..9 0.000 978.9 344.1 0.1734 0.0000 0.0000 0.0 0.0
36..29 0.010 978.9 344.1 0.1734 0.0014 0.0082 1.4 2.8
35..28 0.012 978.9 344.1 0.1734 0.0018 0.0102 1.7 3.5
34..39 0.050 978.9 344.1 0.1734 0.0075 0.0433 7.3 14.9
39..40 0.031 978.9 344.1 0.1734 0.0046 0.0264 4.5 9.1
40..41 0.044 978.9 344.1 0.1734 0.0065 0.0378 6.4 13.0
41..16 0.025 978.9 344.1 0.1734 0.0038 0.0219 3.7 7.5
41..42 0.061 978.9 344.1 0.1734 0.0091 0.0526 8.9 18.1
42..2 0.007 978.9 344.1 0.1734 0.0011 0.0061 1.0 2.1
42..19 0.000 978.9 344.1 0.1734 0.0000 0.0000 0.0 0.0
40..43 0.036 978.9 344.1 0.1734 0.0054 0.0309 5.3 10.6
43..3 0.005 978.9 344.1 0.1734 0.0007 0.0041 0.7 1.4
43..6 0.000 978.9 344.1 0.1734 0.0000 0.0000 0.0 0.0
43..23 0.000 978.9 344.1 0.1734 0.0000 0.0000 0.0 0.0
39..26 0.012 978.9 344.1 0.1734 0.0018 0.0104 1.8 3.6
34..8 0.012 978.9 344.1 0.1734 0.0018 0.0107 1.8 3.7
33..17 0.012 978.9 344.1 0.1734 0.0018 0.0104 1.8 3.6
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C260)
Pr(w>1) post mean +- SE for w
216 V 0.601 4.367
408 V 0.805 5.679
412 V 0.999** 6.916
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: C260)
Pr(w>1) post mean +- SE for w
182 Q 0.702 1.437 +- 0.771
216 V 0.867 1.669 +- 0.672
262 K 0.582 1.244 +- 0.772
354 K 0.563 1.213 +- 0.769
379 A 0.699 1.432 +- 0.772
400 E 0.507 1.123 +- 0.755
408 V 0.898 1.708 +- 0.638
412 V 0.977* 1.789 +- 0.564
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 : 0.994 0.006 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
q : 0.000 0.000 0.000 0.008 0.047 0.113 0.173 0.210 0.224 0.225
ws: 0.728 0.243 0.025 0.003 0.001 0.000 0.000 0.000 0.000 0.000
Time used: 1:03:43
Model 1: NearlyNeutral -3031.083384
Model 2: PositiveSelection -3027.632754
Model 7: beta -3031.689001
Model 8: beta&w>1 -3027.100963
Model 2 vs 1 6.901260
Additional information for M1 vs M2:
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C260)
Pr(w>1) post mean +- SE for w
408 V 0.584 4.958
412 V 0.989* 7.711
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: C260)
Pr(w>1) post mean +- SE for w
182 Q 0.595 1.665 +- 0.930
216 V 0.755 1.955 +- 1.043
379 A 0.592 1.658 +- 0.928
408 V 0.781 2.003 +- 1.065
412 V 0.903 2.138 +- 1.055
Model 8 vs 7 9.176076
Additional information for M7 vs M8:
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C260)
Pr(w>1) post mean +- SE for w
216 V 0.601 4.367
408 V 0.805 5.679
412 V 0.999** 6.916
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: C260)
Pr(w>1) post mean +- SE for w
182 Q 0.702 1.437 +- 0.771
216 V 0.867 1.669 +- 0.672
262 K 0.582 1.244 +- 0.772
354 K 0.563 1.213 +- 0.769
379 A 0.699 1.432 +- 0.772
400 E 0.507 1.123 +- 0.755
408 V 0.898 1.708 +- 0.638
412 V 0.977* 1.789 +- 0.564
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
